From e85bacff7b676a7789bea6501e694cac299b21be Mon Sep 17 00:00:00 2001
From: Pierre-Emmanuel Viel <p.emmanuel.viel@gmail.com>
Date: Thu, 26 Dec 2013 19:44:23 +0100
Subject: [PATCH 01/92] Avoid obtaining several identical dimensions between
 two LSH sub-vectors by choosing orthogonal sub-vectors.

---
 modules/flann/include/opencv2/flann/lsh_table.h | 16 ++++++++++++----
 1 file changed, 12 insertions(+), 4 deletions(-)

diff --git a/modules/flann/include/opencv2/flann/lsh_table.h b/modules/flann/include/opencv2/flann/lsh_table.h
index b0f3223851..6b8d614f23 100644
--- a/modules/flann/include/opencv2/flann/lsh_table.h
+++ b/modules/flann/include/opencv2/flann/lsh_table.h
@@ -348,13 +348,21 @@ inline LshTable<unsigned char>::LshTable(unsigned int feature_size, unsigned int
     mask_ = std::vector<size_t>((size_t)ceil((float)(feature_size * sizeof(char)) / (float)sizeof(size_t)), 0);
 
     // A bit brutal but fast to code
-    std::vector<size_t> indices(feature_size * CHAR_BIT);
-    for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) indices[i] = i;
-    std::random_shuffle(indices.begin(), indices.end());
+    static std::vector<size_t> indices(feature_size * CHAR_BIT);
+
+    //Ensure the Nth bit will be selected only once among the different LshTables
+    //to avoid having two different tables with signatures sharing many dimensions/many bits
+    if( (indices.size() == feature_size * CHAR_BIT) || (indices.size() < key_size_) )
+    {
+      indices.resize( feature_size * CHAR_BIT );
+      for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) indices[i] = i;
+      std::random_shuffle(indices.begin(), indices.end());
+    }
 
     // Generate a random set of order of subsignature_size_ bits
     for (unsigned int i = 0; i < key_size_; ++i) {
-        size_t index = indices[i];
+        size_t index = indices[0];
+        indices.erase( indices.begin() );
 
         // Set that bit in the mask
         size_t divisor = CHAR_BIT * sizeof(size_t);

From 8e93c19de311a76704028b0195abfe04cfad900d Mon Sep 17 00:00:00 2001
From: Pierre-Emmanuel Viel <p.emmanuel.viel@gmail.com>
Date: Thu, 26 Dec 2013 23:04:54 +0100
Subject: [PATCH 02/92] Fix a heap issue with static on Windows

---
 .../flann/include/opencv2/flann/lsh_table.h   | 20 ++++++++++++-------
 1 file changed, 13 insertions(+), 7 deletions(-)

diff --git a/modules/flann/include/opencv2/flann/lsh_table.h b/modules/flann/include/opencv2/flann/lsh_table.h
index 6b8d614f23..18fb139c91 100644
--- a/modules/flann/include/opencv2/flann/lsh_table.h
+++ b/modules/flann/include/opencv2/flann/lsh_table.h
@@ -348,21 +348,27 @@ inline LshTable<unsigned char>::LshTable(unsigned int feature_size, unsigned int
     mask_ = std::vector<size_t>((size_t)ceil((float)(feature_size * sizeof(char)) / (float)sizeof(size_t)), 0);
 
     // A bit brutal but fast to code
-    static std::vector<size_t> indices(feature_size * CHAR_BIT);
+    static std::vector<size_t>* indices = NULL;
 
     //Ensure the Nth bit will be selected only once among the different LshTables
     //to avoid having two different tables with signatures sharing many dimensions/many bits
-    if( (indices.size() == feature_size * CHAR_BIT) || (indices.size() < key_size_) )
+    if( indices == NULL )
     {
-      indices.resize( feature_size * CHAR_BIT );
-      for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) indices[i] = i;
-      std::random_shuffle(indices.begin(), indices.end());
+        indices = new std::vector<size_t>( feature_size * CHAR_BIT );
+    }
+    else if( indices->size() < key_size_ )
+    {
+      indices->resize( feature_size * CHAR_BIT );
+      for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) {
+          (*indices)[i] = i;
+      }
+      std::random_shuffle(indices->begin(), indices->end());
     }
 
     // Generate a random set of order of subsignature_size_ bits
     for (unsigned int i = 0; i < key_size_; ++i) {
-        size_t index = indices[0];
-        indices.erase( indices.begin() );
+        size_t index = (*indices)[0];
+        indices->erase( indices->begin() );
 
         // Set that bit in the mask
         size_t divisor = CHAR_BIT * sizeof(size_t);

From 9c7e0bfd33cb65a57b06d1bf9a81e663fda01d22 Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Fri, 25 Apr 2014 14:49:36 +0400
Subject: [PATCH 03/92] Added fisheye camera model

---
 .../include/opencv2/calib3d/calib3d.hpp       |  127 ++
 modules/calib3d/src/fisheye.cpp               | 1217 +++++++++++++++++
 modules/calib3d/test/test_fisheye.cpp         |  423 ++++++
 3 files changed, 1767 insertions(+)
 create mode 100644 modules/calib3d/src/fisheye.cpp
 create mode 100644 modules/calib3d/test/test_fisheye.cpp

diff --git a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
index f213a114f4..2675ad402a 100644
--- a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
@@ -45,6 +45,7 @@
 
 #include "opencv2/core/core.hpp"
 #include "opencv2/features2d/features2d.hpp"
+#include "opencv2/core/affine.hpp"
 
 #ifdef __cplusplus
 extern "C" {
@@ -744,6 +745,132 @@ CV_EXPORTS_W  int estimateAffine3D(InputArray src, InputArray dst,
                                    OutputArray out, OutputArray inliers,
                                    double ransacThreshold=3, double confidence=0.99);
 
+
+class Fisheye
+{
+public:
+
+    //Definitions:
+    //  Let P be a point in 3D of coordinates X in the world reference frame (stored in the matrix X)
+    //  The coordinate vector of P in the camera reference frame is: Xc = R*X + T
+    //  where R is the rotation matrix corresponding to the rotation vector om: R = rodrigues(om);
+    //  call x, y and z the 3 coordinates of Xc: x = Xc(1); y = Xc(2); z = Xc(3);
+    //  The pinehole projection coordinates of P is [a;b] where a=x/z and b=y/z.
+    //    call r^2 = a^2 + b^2,
+    //    call theta = atan(r),
+    //
+    //  Fisheye distortion -> theta_d = theta * (1 + k(1)*theta^2 + k(2)*theta^4 + k(3)*theta^6 + k(4)*theta^8)
+    //
+    //  The distorted point coordinates are: xd = [xx;yy] where:
+    //
+    //    xx = (theta_d / r) * x
+    //    yy = (theta_d / r) * y
+    //
+    //  Finally, convertion into pixel coordinates: The final pixel coordinates vector xp=[xxp;yyp] where:
+    //
+    //    xxp = f(1)*(xx + alpha*yy) + c(1)
+    //    yyp = f(2)*yy + c(2)
+
+    enum{
+        CALIB_USE_INTRINSIC_GUESS   = 1,
+        CALIB_RECOMPUTE_EXTRINSIC   = 2,
+        CALIB_CHECK_COND            = 4,
+        CALIB_FIX_SKEW              = 8,
+        CALIB_FIX_K1                = 16,
+        CALIB_FIX_K2                = 32,
+        CALIB_FIX_K3                = 64,
+        CALIB_FIX_K4                = 128
+    };
+
+    //! projects 3D points using fisheye model
+    static void projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
+        InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray());
+
+    //! projects points using fisheye model
+    static void projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec,
+        InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray());
+
+    //! distorts 2D points using fisheye model
+    static void distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0);
+
+    //! undistorts 2D points using fisheye model
+    static void undistortPoints(InputArray distorted, OutputArray undistorted,
+        InputArray K, InputArray D, InputArray R = noArray(), InputArray P  = noArray());
+
+    //! computing undistortion and rectification maps for image transform by cv::remap()
+    //! If D is empty zero distortion is used, if R or P is empty identity matrixes are used
+    static void initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
+        const cv::Size& size, int m1type, OutputArray map1, OutputArray map2);
+
+    //! undistorts image, optinally chanes resolution and camera matrix. If Knew zero identity matrix is used
+    static void undistortImage(InputArray distorted, OutputArray undistorted,
+        InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size());
+
+    //! estimates new camera matrix for undistortion or rectification
+    static void estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
+        OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0);
+
+    //! stereo rectification for fisheye camera model
+    static void stereoRectify( InputArray K1, InputArray D1, InputArray K2, InputArray D2, const cv::Size& imageSize,
+        InputArray rotaion, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q,
+            int flags = cv::CALIB_ZERO_DISPARITY, double alpha = -1, const Size& newImageSize = Size(), Rect* roi1 = 0, Rect* roi2 = 0 );
+
+    //! performs camera calibaration
+    static double calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
+        InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,
+            TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON));
+
+    //! stereo rectification estimation
+    static void stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
+        OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(),
+        double balance = 0.0, double fov_scale = 1.0);
+};
+
+
+
+namespace internal {
+
+struct IntrinsicParams
+{
+    Vec2d f;
+    Vec2d c;
+    Vec4d k;
+    double alpha;
+    std::vector<int> isEstimate;
+
+    IntrinsicParams();
+    IntrinsicParams(Vec2d f, Vec2d c, Vec4d k, double alpha = 0);
+    IntrinsicParams operator+(const Mat& a);
+    IntrinsicParams& operator =(const Mat& a);
+    void Init(const cv::Vec2d& f, const cv::Vec2d& c, const cv::Vec4d& k = Vec4d(0,0,0,0), const double& alpha = 0);
+};
+
+void projectPoints(cv::InputArray objectPoints, cv::OutputArray imagePoints,
+                   cv::InputArray _rvec,cv::InputArray _tvec,
+                   const IntrinsicParams& param, cv::OutputArray jacobian);
+
+void ComputeExtrinsicRefine(const Mat& imagePoints, const Mat& objectPoints, Mat& rvec,
+                            Mat&  tvec, Mat& J, const int MaxIter,
+                            const IntrinsicParams& param, const double thresh_cond);
+Mat ComputeHomography(Mat m, Mat M);
+
+Mat NormalizePixels(const Mat& imagePoints, const IntrinsicParams& param);
+
+void InitExtrinsics(const Mat& _imagePoints, const Mat& _objectPoints, const IntrinsicParams& param, Mat& omckk, Mat& Tckk);
+
+void CalibrateExtrinsics(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+                         const IntrinsicParams& param, const int check_cond,
+                         const double thresh_cond, InputOutputArray omc, InputOutputArray Tc);
+
+void ComputeJacobians(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+                      const IntrinsicParams& param,  InputArray omc, InputArray Tc,
+                      const int& check_cond, const double& thresh_cond, Mat& JJ2_inv, Mat& ex3);
+
+void EstimateUncertainties(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+                           const IntrinsicParams& params, InputArray omc, InputArray Tc,
+                           IntrinsicParams& errors, Vec2d& std_err, double thresh_cond, int check_cond, double& rms);
+
+}
 }
 
 #endif
diff --git a/modules/calib3d/src/fisheye.cpp b/modules/calib3d/src/fisheye.cpp
new file mode 100644
index 0000000000..0dcc5e70fd
--- /dev/null
+++ b/modules/calib3d/src/fisheye.cpp
@@ -0,0 +1,1217 @@
+#include "opencv2/opencv.hpp"
+#include "opencv2/core/affine.hpp"
+#include "opencv2/core/affine.hpp"
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::projectPoints
+
+namespace cv { namespace
+{
+    struct JacobianRow
+    {
+        Vec2d df, dc;
+        Vec4d dk;
+        Vec3d dom, dT;
+        double dalpha;
+    };
+}}
+
+void cv::Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
+    InputArray K, InputArray D, double alpha, OutputArray jacobian)
+{
+    projectPoints(objectPoints, imagePoints, affine.rvec(), affine.translation(), K, D, alpha, jacobian);
+}
+
+void cv::Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray _rvec,
+        InputArray _tvec, InputArray _K, InputArray _D, double alpha, OutputArray jacobian)
+{
+    // will support only 3-channel data now for points
+    CV_Assert(objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3);
+    imagePoints.create(objectPoints.size(), CV_MAKETYPE(objectPoints.depth(), 2));
+    size_t n = objectPoints.total();
+
+    CV_Assert(_rvec.total() * _rvec.channels() == 3 && (_rvec.depth() == CV_32F || _rvec.depth() == CV_64F));
+    CV_Assert(_tvec.total() * _tvec.channels() == 3 && (_tvec.depth() == CV_32F || _tvec.depth() == CV_64F));
+    CV_Assert(_tvec.getMat().isContinuous() && _rvec.getMat().isContinuous());
+
+    Vec3d om = _rvec.depth() == CV_32F ? (Vec3d)*_rvec.getMat().ptr<Vec3f>() : *_rvec.getMat().ptr<Vec3d>();
+    Vec3d T  = _tvec.depth() == CV_32F ? (Vec3d)*_tvec.getMat().ptr<Vec3f>() : *_tvec.getMat().ptr<Vec3d>();
+
+    CV_Assert(_K.size() == Size(3,3) && (_K.type() == CV_32F || _K.type() == CV_64F) && _D.type() == _K.type() && _D.total() == 4);
+
+    cv::Vec2d f, c;
+    if (_K.depth() == CV_32F)
+    {
+        Matx33f K = _K.getMat();
+        f = Vec2f(K(0, 0), K(1, 1));
+        c = Vec2f(K(0, 2), K(1, 2));
+    }
+    else
+    {
+        Matx33d K = _K.getMat();
+        f = Vec2d(K(0, 0), K(1, 1));
+        c = Vec2d(K(0, 2), K(1, 2));
+    }
+
+    Vec4d k = _D.depth() == CV_32F ? (Vec4d)*_D.getMat().ptr<Vec4f>(): *_D.getMat().ptr<Vec4d>();
+
+    JacobianRow *Jn = 0;
+    if (jacobian.needed())
+    {
+        int nvars = 2 + 2 + 1 + 4 + 3 + 3; // f, c, alpha, k, om, T,
+        jacobian.create(2*(int)n, nvars, CV_64F);
+        Jn = jacobian.getMat().ptr<JacobianRow>(0);
+    }
+
+    Matx33d R;
+    Matx<double, 3, 9> dRdom;
+    Rodrigues(om, R, dRdom);
+    Affine3d aff(om, T);
+
+    const Vec3f* Xf = objectPoints.getMat().ptr<Vec3f>();
+    const Vec3d* Xd = objectPoints.getMat().ptr<Vec3d>();
+    Vec2f *xpf = imagePoints.getMat().ptr<Vec2f>();
+    Vec2d *xpd = imagePoints.getMat().ptr<Vec2d>();
+
+    for(size_t i = 0; i < n; ++i)
+    {
+        Vec3d Xi = objectPoints.depth() == CV_32F ? (Vec3d)Xf[i] : Xd[i];
+        Vec3d Y = aff*Xi;
+
+        Vec2d x(Y[0]/Y[2], Y[1]/Y[2]);
+
+        double r2 = x.dot(x);
+        double r = std::sqrt(r2);
+
+        // Angle of the incoming ray:
+        double theta = atan(r);
+
+        double theta2 = theta*theta, theta3 = theta2*theta, theta4 = theta2*theta2, theta5 = theta4*theta,
+                theta6 = theta3*theta3, theta7 = theta6*theta, theta8 = theta4*theta4, theta9 = theta8*theta;
+
+        double theta_d = theta + k[0]*theta3 + k[1]*theta5 + k[2]*theta7 + k[3]*theta9;
+
+        double inv_r = r > 1e-8 ? 1.0/r : 1;
+        double cdist = r > 1e-8 ? theta_d * inv_r : 1;
+
+        Vec2d xd1 = x * cdist;
+        Vec2d xd3(xd1[0] + alpha*xd1[1], xd1[1]);
+        Vec2d final_point(xd3[0] * f[0] + c[0], xd3[1] * f[1] + c[1]);
+
+        if (objectPoints.depth() == CV_32F)
+            xpf[i] = final_point;
+        else
+            xpd[i] = final_point;
+
+        if (jacobian.needed())
+        {
+            //Vec3d Xi = pdepth == CV_32F ? (Vec3d)Xf[i] : Xd[i];
+            //Vec3d Y = aff*Xi;
+            double dYdR[] = { Xi[0], Xi[1], Xi[2], 0, 0, 0, 0, 0, 0,
+                              0, 0, 0, Xi[0], Xi[1], Xi[2], 0, 0, 0,
+                              0, 0, 0, 0, 0, 0, Xi[0], Xi[1], Xi[2] };
+
+            Matx33d dYdom_data = Matx<double, 3, 9>(dYdR) * dRdom.t();
+            const Vec3d *dYdom = (Vec3d*)dYdom_data.val;
+
+            Matx33d dYdT_data = Matx33d::eye();
+            const Vec3d *dYdT = (Vec3d*)dYdT_data.val;
+
+            //Vec2d x(Y[0]/Y[2], Y[1]/Y[2]);
+            Vec3d dxdom[2];
+            dxdom[0] = (1.0/Y[2]) * dYdom[0] - x[0]/Y[2] * dYdom[2];
+            dxdom[1] = (1.0/Y[2]) * dYdom[1] - x[1]/Y[2] * dYdom[2];
+
+            Vec3d dxdT[2];
+            dxdT[0]  = (1.0/Y[2]) * dYdT[0] - x[0]/Y[2] * dYdT[2];
+            dxdT[1]  = (1.0/Y[2]) * dYdT[1] - x[1]/Y[2] * dYdT[2];
+
+            //double r2 = x.dot(x);
+            Vec3d dr2dom = 2 * x[0] * dxdom[0] + 2 * x[1] * dxdom[1];
+            Vec3d dr2dT  = 2 * x[0] *  dxdT[0] + 2 * x[1] *  dxdT[1];
+
+            //double r = std::sqrt(r2);
+            double drdr2 = r > 1e-8 ? 1.0/(2*r) : 1;
+            Vec3d drdom = drdr2 * dr2dom;
+            Vec3d drdT  = drdr2 * dr2dT;
+
+            // Angle of the incoming ray:
+            //double theta = atan(r);
+            double dthetadr = 1.0/(1+r2);
+            Vec3d dthetadom = dthetadr * drdom;
+            Vec3d dthetadT  = dthetadr *  drdT;
+
+            //double theta_d = theta + k[0]*theta3 + k[1]*theta5 + k[2]*theta7 + k[3]*theta9;
+            double dtheta_ddtheta = 1 + 3*k[0]*theta2 + 5*k[1]*theta4 + 7*k[2]*theta6 + 9*k[3]*theta8;
+            Vec3d dtheta_ddom = dtheta_ddtheta * dthetadom;
+            Vec3d dtheta_ddT  = dtheta_ddtheta * dthetadT;
+            Vec4d dtheta_ddk  = Vec4d(theta3, theta5, theta7, theta9);
+
+            //double inv_r = r > 1e-8 ? 1.0/r : 1;
+            //double cdist = r > 1e-8 ? theta_d / r : 1;
+            Vec3d dcdistdom = inv_r * (dtheta_ddom - cdist*drdom);
+            Vec3d dcdistdT  = inv_r * (dtheta_ddT  - cdist*drdT);
+            Vec4d dcdistdk  = inv_r *  dtheta_ddk;
+
+            //Vec2d xd1 = x * cdist;
+            Vec4d dxd1dk[2];
+            Vec3d dxd1dom[2], dxd1dT[2];
+            dxd1dom[0] = x[0] * dcdistdom + cdist * dxdom[0];
+            dxd1dom[1] = x[1] * dcdistdom + cdist * dxdom[1];
+            dxd1dT[0]  = x[0] * dcdistdT  + cdist * dxdT[0];
+            dxd1dT[1]  = x[1] * dcdistdT  + cdist * dxdT[1];
+            dxd1dk[0]  = x[0] * dcdistdk;
+            dxd1dk[1]  = x[1] * dcdistdk;
+
+            //Vec2d xd3(xd1[0] + alpha*xd1[1], xd1[1]);
+            Vec4d dxd3dk[2];
+            Vec3d dxd3dom[2], dxd3dT[2];
+            dxd3dom[0] = dxd1dom[0] + alpha * dxd1dom[1];
+            dxd3dom[1] = dxd1dom[1];
+            dxd3dT[0]  = dxd1dT[0]  + alpha * dxd1dT[1];
+            dxd3dT[1]  = dxd1dT[1];
+            dxd3dk[0]  = dxd1dk[0]  + alpha * dxd1dk[1];
+            dxd3dk[1]  = dxd1dk[1];
+
+            Vec2d dxd3dalpha(xd1[1], 0);
+
+            //final jacobian
+            Jn[0].dom = f[0] * dxd3dom[0];
+            Jn[1].dom = f[1] * dxd3dom[1];
+
+            Jn[0].dT = f[0] * dxd3dT[0];
+            Jn[1].dT = f[1] * dxd3dT[1];
+
+            Jn[0].dk = f[0] * dxd3dk[0];
+            Jn[1].dk = f[1] * dxd3dk[1];
+
+            Jn[0].dalpha = f[0] * dxd3dalpha[0];
+            Jn[1].dalpha = 0; //f[1] * dxd3dalpha[1];
+
+            Jn[0].df = Vec2d(xd3[0], 0);
+            Jn[1].df = Vec2d(0, xd3[1]);
+
+            Jn[0].dc = Vec2d(1, 0);
+            Jn[1].dc = Vec2d(0, 1);
+
+            //step to jacobian rows for next point
+            Jn += 2;
+        }
+    }
+}
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::distortPoints
+
+void cv::Fisheye::distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha)
+{
+    // will support only 2-channel data now for points
+    CV_Assert(undistorted.type() == CV_32FC2 || undistorted.type() == CV_64FC2);
+    distorted.create(undistorted.size(), undistorted.type());
+    size_t n = undistorted.total();
+
+    CV_Assert(K.size() == Size(3,3) && (K.type() == CV_32F || K.type() == CV_64F) && D.total() == 4);
+
+    cv::Vec2d f, c;
+    if (K.depth() == CV_32F)
+    {
+        Matx33f camMat = K.getMat();
+        f = Vec2f(camMat(0, 0), camMat(1, 1));
+        c = Vec2f(camMat(0, 2), camMat(1, 2));
+    }
+    else
+    {
+        Matx33d camMat = K.getMat();
+        f = Vec2d(camMat(0, 0), camMat(1, 1));
+        c = Vec2d(camMat(0 ,2), camMat(1, 2));
+    }
+
+    Vec4d k = D.depth() == CV_32F ? (Vec4d)*D.getMat().ptr<Vec4f>(): *D.getMat().ptr<Vec4d>();
+
+    const Vec2f* Xf = undistorted.getMat().ptr<Vec2f>();
+    const Vec2d* Xd = undistorted.getMat().ptr<Vec2d>();
+    Vec2f *xpf = distorted.getMat().ptr<Vec2f>();
+    Vec2d *xpd = distorted.getMat().ptr<Vec2d>();
+
+    for(size_t i = 0; i < n; ++i)
+    {
+        Vec2d x = undistorted.depth() == CV_32F ? (Vec2d)Xf[i] : Xd[i];
+
+        double r2 = x.dot(x);
+        double r = std::sqrt(r2);
+
+        // Angle of the incoming ray:
+        double theta = atan(r);
+
+        double theta2 = theta*theta, theta3 = theta2*theta, theta4 = theta2*theta2, theta5 = theta4*theta,
+                theta6 = theta3*theta3, theta7 = theta6*theta, theta8 = theta4*theta4, theta9 = theta8*theta;
+
+        double theta_d = theta + k[0]*theta3 + k[1]*theta5 + k[2]*theta7 + k[3]*theta9;
+
+        double inv_r = r > 1e-8 ? 1.0/r : 1;
+        double cdist = r > 1e-8 ? theta_d * inv_r : 1;
+
+        Vec2d xd1 = x * cdist;
+        Vec2d xd3(xd1[0] + alpha*xd1[1], xd1[1]);
+        Vec2d final_point(xd3[0] * f[0] + c[0], xd3[1] * f[1] + c[1]);
+
+        if (undistorted.depth() == CV_32F)
+            xpf[i] = final_point;
+        else
+            xpd[i] = final_point;
+    }
+}
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::undistortPoints
+
+void cv::Fisheye::undistortPoints( InputArray distorted, OutputArray undistorted, InputArray _K, InputArray _D, InputArray _R, InputArray _P)
+{
+    // will support only 2-channel data now for points
+    CV_Assert(distorted.type() == CV_32FC2 || distorted.type() == CV_64FC2);
+    undistorted.create(distorted.size(), distorted.type());
+
+    CV_Assert(_P.empty() || _P.size() == Size(3, 3) || _P.size() == Size(4, 3));
+    CV_Assert(_R.empty() || _R.size() == Size(3, 3) || _R.total() * _R.channels() == 3);
+    CV_Assert(_D.total() == 4 && _K.size() == Size(3, 3) && (_K.depth() == CV_32F || _K.depth() == CV_64F));
+
+    cv::Vec2d f, c;
+    if (_K.depth() == CV_32F)
+    {
+        Matx33f camMat = _K.getMat();
+        f = Vec2f(camMat(0, 0), camMat(1, 1));
+        c = Vec2f(camMat(0, 2), camMat(1, 2));
+    }
+    else
+    {
+        Matx33d camMat = _K.getMat();
+        f = Vec2d(camMat(0, 0), camMat(1, 1));
+        c = Vec2d(camMat(0, 2), camMat(1, 2));
+    }
+
+    Vec4d k = _D.depth() == CV_32F ? (Vec4d)*_D.getMat().ptr<Vec4f>(): *_D.getMat().ptr<Vec4d>();
+
+    cv::Matx33d RR = cv::Matx33d::eye();
+    if (!_R.empty() && _R.total() * _R.channels() == 3)
+    {
+        cv::Vec3d rvec;
+        _R.getMat().convertTo(rvec, CV_64F);
+        RR = cv::Affine3d(rvec).rotation();
+    }
+    else if (!_R.empty() && _R.size() == Size(3, 3))
+        _R.getMat().convertTo(RR, CV_64F);
+
+    if(!_P.empty())
+    {
+        cv::Matx33d P;
+        _P.getMat().colRange(0, 3).convertTo(P, CV_64F);
+        RR = P * RR;
+    }
+
+    // start undistorting
+    const cv::Vec2f* srcf = distorted.getMat().ptr<cv::Vec2f>();
+    const cv::Vec2d* srcd = distorted.getMat().ptr<cv::Vec2d>();
+    cv::Vec2f* dstf = undistorted.getMat().ptr<cv::Vec2f>();
+    cv::Vec2d* dstd = undistorted.getMat().ptr<cv::Vec2d>();
+
+    size_t n = distorted.total();
+    int sdepth = distorted.depth();
+
+    for(size_t i = 0; i < n; i++ )
+    {
+        Vec2d pi = sdepth == CV_32F ? (Vec2d)srcf[i] : srcd[i];  // image point
+        Vec2d pw((pi[0] - c[0])/f[0], (pi[1] - c[1])/f[1]);      // world point
+
+        double scale = 1.0;
+
+        double theta_d = sqrt(pw[0]*pw[0] + pw[1]*pw[1]);
+        if (theta_d > 1e-8)
+        {
+            // compensate distortion iteratively
+            double theta = theta_d;
+            for(int j = 0; j < 10; j++ )
+            {
+                double theta2 = theta*theta, theta4 = theta2*theta2, theta6 = theta4*theta2, theta8 = theta6*theta2;
+                theta = theta_d / (1 + k[0] * theta2 + k[1] * theta4 + k[2] * theta6 + k[3] * theta8);
+            }
+
+            scale = std::tan(theta) / theta_d;
+        }
+
+        Vec2d pu = pw * scale; //undistorted point
+
+        // reproject
+        Vec3d pr = RR * Vec3d(pu[0], pu[1], 1.0); // rotated point optionally multiplied by new camera matrix
+        Vec2d fi(pr[0]/pr[2], pr[1]/pr[2]);       // final
+
+        if( sdepth == CV_32F )
+            dstf[i] = fi;
+        else
+            dstd[i] = fi;
+    }
+}
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::undistortPoints
+
+void cv::Fisheye::initUndistortRectifyMap( InputArray _K, InputArray _D, InputArray _R, InputArray _P,
+    const cv::Size& size, int m1type, OutputArray map1, OutputArray map2 )
+{
+    CV_Assert( m1type == CV_16SC2 || m1type == CV_32F || m1type <=0 );
+    map1.create( size, m1type <= 0 ? CV_16SC2 : m1type );
+    map2.create( size, map1.type() == CV_16SC2 ? CV_16UC1 : CV_32F );
+
+    CV_Assert((_K.depth() == CV_32F || _K.depth() == CV_64F) && (_D.depth() == CV_32F || _D.depth() == CV_64F));
+    CV_Assert((_P.depth() == CV_32F || _P.depth() == CV_64F) && (_R.depth() == CV_32F || _R.depth() == CV_64F));
+    CV_Assert(_K.size() == Size(3, 3) && (_D.empty() || _D.total() == 4));
+    CV_Assert(_R.empty() || _R.size() == Size(3, 3) || _R.total() * _R.channels() == 3);
+    CV_Assert(_P.empty() || _P.size() == Size(3, 3) || _P.size() == Size(4, 3));
+
+    cv::Vec2d f, c;
+    if (_K.depth() == CV_32F)
+    {
+        Matx33f camMat = _K.getMat();
+        f = Vec2f(camMat(0, 0), camMat(1, 1));
+        c = Vec2f(camMat(0, 2), camMat(1, 2));
+    }
+    else
+    {
+        Matx33d camMat = _K.getMat();
+        f = Vec2d(camMat(0, 0), camMat(1, 1));
+        c = Vec2d(camMat(0, 2), camMat(1, 2));
+    }
+
+    Vec4d k = Vec4d::all(0);
+    if (!_D.empty())
+        k = _D.depth() == CV_32F ? (Vec4d)*_D.getMat().ptr<Vec4f>(): *_D.getMat().ptr<Vec4d>();
+
+    cv::Matx33d R  = cv::Matx33d::eye();
+    if (!_R.empty() && _R.total() * _R.channels() == 3)
+    {
+        cv::Vec3d rvec;
+        _R.getMat().convertTo(rvec, CV_64F);
+        R = Affine3d(rvec).rotation();
+    }
+    else if (!_R.empty() && _R.size() == Size(3, 3))
+        _R.getMat().convertTo(R, CV_64F);
+
+    cv::Matx33d P = cv::Matx33d::eye();
+    if (!_P.empty())
+        _P.getMat().colRange(0, 3).convertTo(P, CV_64F);
+
+    cv::Matx33d iR = (P * R).inv(cv::DECOMP_SVD);
+
+    for( int i = 0; i < size.height; ++i)
+    {
+        float* m1f = map1.getMat().ptr<float>(i);
+        float* m2f = map2.getMat().ptr<float>(i);
+        short*  m1 = (short*)m1f;
+        ushort* m2 = (ushort*)m2f;
+
+        double _x = i*iR(0, 1) + iR(0, 2),
+               _y = i*iR(1, 1) + iR(1, 2),
+               _w = i*iR(2, 1) + iR(2, 2);
+
+        for( int j = 0; j < size.width; ++j)
+        {
+            double x = _x/_w, y = _y/_w;
+
+            double r = sqrt(x*x + y*y);
+            double theta = atan(r);
+
+            double theta2 = theta*theta, theta4 = theta2*theta2, theta6 = theta4*theta2, theta8 = theta4*theta4;
+            double theta_d = theta * (1 + k[0]*theta2 + k[1]*theta4 + k[2]*theta6 + k[3]*theta8);
+
+            double scale = (r == 0) ? 1.0 : theta_d / r;
+            double u = f[0]*x*scale + c[0];
+            double v = f[1]*y*scale + c[1];
+
+            if( m1type == CV_16SC2 )
+            {
+                int iu = cv::saturate_cast<int>(u*cv::INTER_TAB_SIZE);
+                int iv = cv::saturate_cast<int>(v*cv::INTER_TAB_SIZE);
+                m1[j*2+0] = (short)(iu >> cv::INTER_BITS);
+                m1[j*2+1] = (short)(iv >> cv::INTER_BITS);
+                m2[j] = (ushort)((iv & (cv::INTER_TAB_SIZE-1))*cv::INTER_TAB_SIZE + (iu & (cv::INTER_TAB_SIZE-1)));
+            }
+            else if( m1type == CV_32FC1 )
+            {
+                m1f[j] = (float)u;
+                m2f[j] = (float)v;
+            }
+
+            _x += iR(0, 0);
+            _y += iR(1, 0);
+            _w += iR(2, 0);
+        }
+    }
+}
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::undistortImage
+
+void cv::Fisheye::undistortImage(InputArray distorted, OutputArray undistorted,
+        InputArray K, InputArray D, InputArray Knew, const Size& new_size)
+{
+    Size size = new_size.area() != 0 ? new_size : distorted.size();
+
+    cv::Mat map1, map2;
+    initUndistortRectifyMap(K, D, cv::Matx33d::eye(), Knew, size, CV_16SC2, map1, map2 );
+    cv::remap(distorted, undistorted, map1, map2, INTER_LINEAR, BORDER_CONSTANT);
+}
+
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::estimateNewCameraMatrixForUndistortRectify
+
+void cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
+    OutputArray P, double balance, const Size& new_size, double fov_scale)
+{
+    CV_Assert( K.size() == Size(3, 3)       && (K.depth() == CV_32F || K.depth() == CV_64F));
+    CV_Assert((D.empty() || D.total() == 4) && (D.depth() == CV_32F || D.depth() == CV_64F || D.empty()));
+
+    int w = image_size.width, h = image_size.height;
+    balance = std::min(std::max(balance, 0.0), 1.0);
+
+    cv::Mat points(1, 4, CV_64FC2);
+    Vec2d* pptr = points.ptr<Vec2d>();
+    pptr[0] = Vec2d(w/2, 0);
+    pptr[1] = Vec2d(w, h/2);
+    pptr[2] = Vec2d(w/2, h);
+    pptr[3] = Vec2d(0, h/2);
+
+#if 0
+    const int N = 10;
+    cv::Mat points(1, N * 4, CV_64FC2);
+    Vec2d* pptr = points.ptr<Vec2d>();
+    for(int i = 0, k = 0; i < 10; ++i)
+    {
+        pptr[k++] = Vec2d(w/2,   0) - Vec2d(w/8,   0) + Vec2d(w/4/N*i,   0);
+        pptr[k++] = Vec2d(w/2, h-1) - Vec2d(w/8, h-1) + Vec2d(w/4/N*i, h-1);
+
+        pptr[k++] = Vec2d(0,   h/2) - Vec2d(0,   h/8) + Vec2d(0,   h/4/N*i);
+        pptr[k++] = Vec2d(w-1, h/2) - Vec2d(w-1, h/8) + Vec2d(w-1, h/4/N*i);
+    }
+#endif
+
+    undistortPoints(points, points, K, D, R);
+    cv::Scalar center_mass = mean(points);
+    cv::Vec2d cn(center_mass.val);
+
+    double aspect_ratio = (K.depth() == CV_32F) ? K.getMat().at<float >(0,0)/K.getMat().at<float> (1,1)
+                                                : K.getMat().at<double>(0,0)/K.getMat().at<double>(1,1);
+
+    // convert to identity ratio
+    cn[0] *= aspect_ratio;
+    for(size_t i = 0; i < points.total(); ++i)
+        pptr[i][1] *= aspect_ratio;
+
+    double minx = DBL_MAX, miny = DBL_MAX, maxx = -DBL_MAX, maxy = -DBL_MAX;
+    for(size_t i = 0; i < points.total(); ++i)
+    {
+        miny = std::min(miny, pptr[i][1]);
+        maxy = std::max(maxy, pptr[i][1]);
+        minx = std::min(minx, pptr[i][0]);
+        maxx = std::max(maxx, pptr[i][0]);
+    }
+
+#if 0
+    double minx = -DBL_MAX, miny = -DBL_MAX, maxx = DBL_MAX, maxy = DBL_MAX;
+    for(size_t i = 0; i < points.total(); ++i)
+    {
+        if (i % 4 == 0) miny = std::max(miny, pptr[i][1]);
+        if (i % 4 == 1) maxy = std::min(maxy, pptr[i][1]);
+        if (i % 4 == 2) minx = std::max(minx, pptr[i][0]);
+        if (i % 4 == 3) maxx = std::min(maxx, pptr[i][0]);
+    }
+#endif
+
+    double f1 = w * 0.5/(cn[0] - minx);
+    double f2 = w * 0.5/(maxx - cn[0]);
+    double f3 = h * 0.5 * aspect_ratio/(cn[1] - miny);
+    double f4 = h * 0.5 * aspect_ratio/(maxy - cn[1]);
+
+    double fmin = std::min(f1, std::min(f2, std::min(f3, f4)));
+    double fmax = std::max(f1, std::max(f2, std::max(f3, f4)));
+
+    double f = balance * fmin + (1.0 - balance) * fmax;
+    f *= fov_scale > 0 ? 1.0/fov_scale : 1.0;
+
+    cv::Vec2d new_f(f, f), new_c = -cn * f + Vec2d(w, h * aspect_ratio) * 0.5;
+
+    // restore aspect ratio
+    new_f[1] /= aspect_ratio;
+    new_c[1] /= aspect_ratio;
+
+    if (new_size.area() > 0)
+    {
+        double rx = new_size.width /(double)image_size.width;
+        double ry = new_size.height/(double)image_size.height;
+
+        new_f[0] *= rx;  new_f[1] *= ry;
+        new_c[0] *= rx;  new_c[1] *= ry;
+    }
+
+    Mat(Matx33d(new_f[0], 0, new_c[0],
+                0, new_f[1], new_c[1],
+                0,        0,       1)).convertTo(P, P.empty() ? K.type() : P.type());
+}
+
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::stereoRectify
+
+void cv::Fisheye::stereoRectify( InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size& imageSize,
+        InputArray _R, InputArray _tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2,
+        OutputArray Q, int flags, const Size& newImageSize, double balance, double fov_scale)
+{
+    CV_Assert((_R.size() == Size(3, 3) || _R.total() * _R.channels() == 3) && (_R.depth() == CV_32F || _R.depth() == CV_64F));
+    CV_Assert(_tvec.total() * _tvec.channels() == 3 && (_tvec.depth() == CV_32F || _tvec.depth() == CV_64F));
+
+
+    cv::Mat aaa = _tvec.getMat().reshape(3, 1);
+
+    Vec3d rvec; // Rodrigues vector
+    if (_R.size() == Size(3, 3))
+    {
+        cv::Matx33d rmat;
+        _R.getMat().convertTo(rmat, CV_64F);
+        rvec = Affine3d(rmat).rvec();
+    }
+    else if (_R.total() * _R.channels() == 3)
+        _R.getMat().convertTo(rvec, CV_64F);
+
+    Vec3d tvec;
+    _tvec.getMat().convertTo(tvec, CV_64F);
+
+    // rectification algorithm
+    rvec *= -0.5;              // get average rotation
+
+    Matx33d r_r;
+    Rodrigues(rvec, r_r);  // rotate cameras to same orientation by averaging
+
+    Vec3d t = r_r * tvec;
+    Vec3d uu(t[0] > 0 ? 1 : -1, 0, 0);
+
+    // calculate global Z rotation
+    Vec3d ww = t.cross(uu);
+    double nw = norm(ww);
+    if (nw > 0.0)
+        ww *= acos(fabs(t[0])/cv::norm(t))/nw;
+
+    Matx33d wr;
+    Rodrigues(ww, wr);
+
+    // apply to both views
+    Matx33d ri1 = wr * r_r.t();
+    Mat(ri1, false).convertTo(R1, R1.empty() ? CV_64F : R1.type());
+    Matx33d ri2 = wr * r_r;
+    Mat(ri2, false).convertTo(R2, R2.empty() ? CV_64F : R2.type());
+    Vec3d tnew = ri2 * tvec;
+
+    // calculate projection/camera matrices. these contain the relevant rectified image internal params (fx, fy=fx, cx, cy)
+    Matx33d newK1, newK2;
+    estimateNewCameraMatrixForUndistortRectify(K1, D1, imageSize, R1, newK1, balance, newImageSize, fov_scale);
+    estimateNewCameraMatrixForUndistortRectify(K2, D2, imageSize, R2, newK2, balance, newImageSize, fov_scale);
+
+    double fc_new = std::min(newK1(1,1), newK2(1,1));
+    Point2d cc_new[2] = { Vec2d(newK1(0, 2), newK1(1, 2)), Vec2d(newK2(0, 2), newK2(1, 2)) };
+
+    // Vertical focal length must be the same for both images to keep the epipolar constraint use fy for fx also.
+    // For simplicity, set the principal points for both cameras to be the average
+    // of the two principal points (either one of or both x- and y- coordinates)
+    if( flags & cv::CALIB_ZERO_DISPARITY )
+        cc_new[0] = cc_new[1] = (cc_new[0] + cc_new[1]) * 0.5;
+    else
+        cc_new[0].y = cc_new[1].y = (cc_new[0].y + cc_new[1].y)*0.5;
+
+    Mat(Matx34d(fc_new, 0, cc_new[0].x, 0,
+                0, fc_new, cc_new[0].y, 0,
+                0,      0,           1, 0), false).convertTo(P1, P1.empty() ? CV_64F : P1.type());
+
+    Mat(Matx34d(fc_new, 0, cc_new[1].x, tnew[0]*fc_new, // baseline * focal length;,
+                0, fc_new, cc_new[1].y,              0,
+                0,      0,           1,              0), false).convertTo(P2, P2.empty() ? CV_64F : P2.type());
+
+    if (Q.needed())
+        Mat(Matx44d(1, 0, 0,           -cc_new[0].x,
+                    0, 1, 0,           -cc_new[0].y,
+                    0, 0, 0,            fc_new,
+                    0, 0, -1./tnew[0], (cc_new[0].x - cc_new[1].x)/tnew[0]), false).convertTo(Q, Q.empty() ? CV_64F : Q.depth());
+}
+
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::calibrate
+
+double cv::Fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
+                                    InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs,
+                                    int flags , cv::TermCriteria criteria)
+{
+    CV_Assert(!objectPoints.empty() && !imagePoints.empty() && objectPoints.total() == imagePoints.total());
+    CV_Assert(objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3);
+    CV_Assert(imagePoints.type() == CV_32FC2 || imagePoints.type() == CV_64FC2);
+    CV_Assert((!K.empty() && K.size() == Size(3,3)) || K.empty());
+    CV_Assert((!D.empty() && D.total() == 4) || D.empty());
+    CV_Assert((!rvecs.empty() && rvecs.channels() == 3) || rvecs.empty());
+    CV_Assert((!tvecs.empty() && tvecs.channels() == 3) || tvecs.empty());
+
+    CV_Assert(((flags & CALIB_USE_INTRINSIC_GUESS) && !K.empty() && !D.empty()) || !(flags & CALIB_USE_INTRINSIC_GUESS));
+
+    using namespace cv::internal;
+    //-------------------------------Initialization
+    IntrinsicParams finalParam;
+    IntrinsicParams currentParam;
+    IntrinsicParams errors;
+
+    finalParam.isEstimate[0] = 1;
+    finalParam.isEstimate[1] = 1;
+    finalParam.isEstimate[2] = 1;
+    finalParam.isEstimate[3] = 1;
+    finalParam.isEstimate[4] = flags & CALIB_FIX_SKEW ? 0 : 1;
+    finalParam.isEstimate[5] = flags & CALIB_FIX_K1 ? 0 : 1;
+    finalParam.isEstimate[6] = flags & CALIB_FIX_K2 ? 0 : 1;
+    finalParam.isEstimate[7] = flags & CALIB_FIX_K3 ? 0 : 1;
+    finalParam.isEstimate[8] = flags & CALIB_FIX_K4 ? 0 : 1;
+
+    const int recompute_extrinsic = flags & CALIB_RECOMPUTE_EXTRINSIC ? 1: 0;
+    const int check_cond = flags & CALIB_CHECK_COND ? 1 : 0;
+
+    const double alpha_smooth = 0.4;
+    const double thresh_cond = 1e6;
+    double change = 1;
+    Vec2d err_std;
+
+    Matx33d _K;
+    Vec4d _D;
+    if (flags & CALIB_USE_INTRINSIC_GUESS)
+    {
+        K.getMat().convertTo(_K, CV_64FC1);
+        D.getMat().convertTo(_D, CV_64FC1);
+        finalParam.Init(Vec2d(_K(0,0), _K(1, 1)),
+                        Vec2d(_K(0,2), _K(1, 2)),
+                        Vec4d(flags & CALIB_FIX_K1 ? 0 : _D[0],
+                              flags & CALIB_FIX_K2 ? 0 : _D[1],
+                              flags & CALIB_FIX_K3 ? 0 : _D[2],
+                              flags & CALIB_FIX_K4 ? 0 : _D[3]),
+                        _K(0, 1) / _K(0, 0));
+    }
+    else
+    {
+        finalParam.Init(Vec2d(max(image_size.width, image_size.height) / CV_PI, max(image_size.width, image_size.height) / CV_PI),
+                        Vec2d(image_size.width  / 2.0 - 0.5, image_size.height / 2.0 - 0.5));
+    }
+
+    errors.isEstimate = finalParam.isEstimate;
+
+    std::vector<Vec3d> omc(objectPoints.total()), Tc(objectPoints.total());
+
+    CalibrateExtrinsics(objectPoints, imagePoints, finalParam, check_cond, thresh_cond, omc, Tc);
+
+
+    //-------------------------------Optimization
+    for(int iter = 0; ; ++iter)
+    {
+        if ((criteria.type == 1 && iter >= criteria.maxCount)  ||
+            (criteria.type == 2 && change <= criteria.epsilon) ||
+            (criteria.type == 3 && (change <= criteria.epsilon || iter >= criteria.maxCount)))
+            break;
+
+        double alpha_smooth2 = 1 - std::pow(1 - alpha_smooth, iter + 1.0);
+
+        Mat JJ2_inv, ex3;
+        ComputeJacobians(objectPoints, imagePoints, finalParam, omc, Tc, check_cond,thresh_cond, JJ2_inv, ex3);
+
+        Mat G =  alpha_smooth2 * JJ2_inv * ex3;
+
+        currentParam = finalParam + G;
+
+        change = norm(Vec4d(currentParam.f[0], currentParam.f[1], currentParam.c[0], currentParam.c[1]) -
+                Vec4d(finalParam.f[0], finalParam.f[1], finalParam.c[0], finalParam.c[1]))
+                / norm(Vec4d(currentParam.f[0], currentParam.f[1], currentParam.c[0], currentParam.c[1]));
+
+        finalParam = currentParam;
+
+        if (recompute_extrinsic)
+        {
+            CalibrateExtrinsics(objectPoints,  imagePoints, finalParam, check_cond,
+                                    thresh_cond, omc, Tc);
+        }
+    }
+
+    //-------------------------------Validation
+    double rms;
+    EstimateUncertainties(objectPoints, imagePoints, finalParam,  omc, Tc, errors, err_std, thresh_cond,
+                              check_cond, rms);
+
+    //-------------------------------
+    _K = Matx33d(finalParam.f[0], finalParam.f[0] * finalParam.alpha, finalParam.c[0],
+            0,                    finalParam.f[1], finalParam.c[1],
+            0,                                  0,               1);
+
+    if (K.needed()) cv::Mat(_K).convertTo(K, K.empty() ? CV_64FC1 : K.type());
+    if (D.needed()) cv::Mat(finalParam.k).convertTo(D, D.empty() ? CV_64FC1 : D.type());
+    if (rvecs.needed()) cv::Mat(omc).convertTo(rvecs, rvecs.empty() ? CV_64FC3 : rvecs.type());
+    if (tvecs.needed()) cv::Mat(Tc).convertTo(tvecs, tvecs.empty() ? CV_64FC3 : tvecs.type());
+
+    return rms;
+}
+
+namespace cv{ namespace {
+void subMatrix(const Mat& src, Mat& dst, const vector<int>& cols, const vector<int>& rows)
+{
+    CV_Assert(src.type() == CV_64FC1);
+
+    int nonzeros_cols = cv::countNonZero(cols);
+    Mat tmp(src.rows, nonzeros_cols, CV_64FC1);
+
+    for (size_t i = 0, j = 0; i < cols.size(); i++)
+    {
+        if (cols[i])
+        {
+            src.col(i).copyTo(tmp.col(j++));
+        }
+    }
+
+    int nonzeros_rows  = cv::countNonZero(rows);
+    Mat tmp1(nonzeros_rows, nonzeros_cols, CV_64FC1);
+    for (size_t i = 0, j = 0; i < rows.size(); i++)
+    {
+        if (rows[i])
+        {
+            tmp.row(i).copyTo(tmp1.row(j++));
+        }
+    }
+
+    dst = tmp1.clone();
+}
+
+}}
+
+cv::internal::IntrinsicParams::IntrinsicParams():
+    f(Vec2d::all(0)), c(Vec2d::all(0)), k(Vec4d::all(0)), alpha(0), isEstimate(9,0)
+{
+}
+
+cv::internal::IntrinsicParams::IntrinsicParams(Vec2d _f, Vec2d _c, Vec4d _k, double _alpha):
+    f(_f), c(_c), k(_k), alpha(_alpha), isEstimate(9,0)
+{
+}
+
+cv::internal::IntrinsicParams cv::internal::IntrinsicParams::operator+(const Mat& a)
+{
+    CV_Assert(a.type() == CV_64FC1);
+    IntrinsicParams tmp;
+    const double* ptr = a.ptr<double>();
+
+    int j = 0;
+    tmp.f[0]    = this->f[0]    + (isEstimate[0] ? ptr[j++] : 0);
+    tmp.f[1]    = this->f[1]    + (isEstimate[1] ? ptr[j++] : 0);
+    tmp.c[0]    = this->c[0]    + (isEstimate[2] ? ptr[j++] : 0);
+    tmp.alpha   = this->alpha   + (isEstimate[4] ? ptr[j++] : 0);
+    tmp.c[1]    = this->c[1]    + (isEstimate[3] ? ptr[j++] : 0);
+    tmp.k[0]    = this->k[0]    + (isEstimate[5] ? ptr[j++] : 0);
+    tmp.k[1]    = this->k[1]    + (isEstimate[6] ? ptr[j++] : 0);
+    tmp.k[2]    = this->k[2]    + (isEstimate[7] ? ptr[j++] : 0);
+    tmp.k[3]    = this->k[3]    + (isEstimate[8] ? ptr[j++] : 0);
+
+    tmp.isEstimate = isEstimate;
+    return tmp;
+}
+
+cv::internal::IntrinsicParams& cv::internal::IntrinsicParams::operator =(const Mat& a)
+{
+    CV_Assert(a.type() == CV_64FC1);
+    const double* ptr = a.ptr<double>();
+
+    int j = 0;
+
+    this->f[0]  = isEstimate[0] ? ptr[j++] : 0;
+    this->f[1]  = isEstimate[1] ? ptr[j++] : 0;
+    this->c[0]  = isEstimate[2] ? ptr[j++] : 0;
+    this->c[1]  = isEstimate[3] ? ptr[j++] : 0;
+    this->alpha = isEstimate[4] ? ptr[j++] : 0;
+    this->k[0]  = isEstimate[5] ? ptr[j++] : 0;
+    this->k[1]  = isEstimate[6] ? ptr[j++] : 0;
+    this->k[2]  = isEstimate[7] ? ptr[j++] : 0;
+    this->k[3]  = isEstimate[8] ? ptr[j++] : 0;
+
+    return *this;
+}
+
+void cv::internal::IntrinsicParams::Init(const cv::Vec2d& _f, const cv::Vec2d& _c, const cv::Vec4d& _k, const double& _alpha)
+{
+    this->c = _c;
+    this->f = _f;
+    this->k = _k;
+    this->alpha = _alpha;
+}
+
+void cv::internal::projectPoints(cv::InputArray objectPoints, cv::OutputArray imagePoints,
+                   cv::InputArray _rvec,cv::InputArray _tvec,
+                   const IntrinsicParams& param, cv::OutputArray jacobian)
+{
+    CV_Assert(!objectPoints.empty() && objectPoints.type() == CV_64FC3);
+    Matx33d K(param.f[0], param.f[0] * param.alpha, param.c[0],
+                       0,               param.f[1], param.c[1],
+                       0,                        0,         1);
+    Fisheye::projectPoints(objectPoints, imagePoints, _rvec, _tvec, K, param.k, param.alpha, jacobian);
+}
+
+void cv::internal::ComputeExtrinsicRefine(const Mat& imagePoints, const Mat& objectPoints, Mat& rvec,
+                            Mat&  tvec, Mat& J, const int MaxIter,
+                            const IntrinsicParams& param, const double thresh_cond)
+{
+    CV_Assert(!objectPoints.empty() && objectPoints.type() == CV_64FC3);
+    CV_Assert(!imagePoints.empty() && imagePoints.type() == CV_64FC2);
+    Vec6d extrinsics(rvec.at<double>(0), rvec.at<double>(1), rvec.at<double>(2),
+                    tvec.at<double>(0), tvec.at<double>(1), tvec.at<double>(2));
+    double change = 1;
+    int iter = 0;
+
+    while (change > 1e-10 && iter < MaxIter)
+    {
+        std::vector<Point2d> x;
+        Mat jacobians;
+        projectPoints(objectPoints, x, rvec, tvec, param, jacobians);
+
+        Mat ex = imagePoints - Mat(x).t();
+        ex = ex.reshape(1, 2);
+
+        J = jacobians.colRange(8, 14).clone();
+
+        SVD svd(J, SVD::NO_UV);
+        double condJJ = svd.w.at<double>(0)/svd.w.at<double>(5);
+
+        if (condJJ > thresh_cond)
+            change = 0;
+        else
+        {
+            Vec6d param_innov;
+            solve(J, ex.reshape(1, (int)ex.total()), param_innov, DECOMP_SVD + DECOMP_NORMAL);
+
+            Vec6d param_up = extrinsics + param_innov;
+            change = norm(param_innov)/norm(param_up);
+            extrinsics = param_up;
+            iter = iter + 1;
+
+            rvec = Mat(Vec3d(extrinsics.val));
+            tvec = Mat(Vec3d(extrinsics.val+3));
+        }
+    }
+}
+
+cv::Mat cv::internal::ComputeHomography(Mat m, Mat M)
+{
+    int Np = m.cols;
+
+    if (m.rows < 3)
+    {
+        vconcat(m, Mat::ones(1, Np, CV_64FC1), m);
+    }
+    if (M.rows < 3)
+    {
+        vconcat(M, Mat::ones(1, Np, CV_64FC1), M);
+    }
+
+    divide(m, Mat::ones(3, 1, CV_64FC1) * m.row(2), m);
+    divide(M, Mat::ones(3, 1, CV_64FC1) * M.row(2), M);
+
+    Mat ax = m.row(0).clone();
+    Mat ay = m.row(1).clone();
+
+    double mxx = mean(ax)[0];
+    double myy = mean(ay)[0];
+
+    ax = ax - mxx;
+    ay = ay - myy;
+
+    double scxx = mean(abs(ax))[0];
+    double scyy = mean(abs(ay))[0];
+
+    Mat Hnorm (Matx33d( 1/scxx,        0.0,     -mxx/scxx,
+                         0.0,     1/scyy,     -myy/scyy,
+                         0.0,        0.0,           1.0 ));
+
+    Mat inv_Hnorm (Matx33d( scxx,     0,   mxx,
+                                    0,  scyy,   myy,
+                                    0,     0,     1 ));
+    Mat mn =  Hnorm * m;
+
+    Mat L = Mat::zeros(2*Np, 9, CV_64FC1);
+
+    for (int i = 0; i < Np; ++i)
+    {
+        for (int j = 0; j < 3; j++)
+        {
+            L.at<double>(2 * i, j) = M.at<double>(j, i);
+            L.at<double>(2 * i + 1, j + 3) = M.at<double>(j, i);
+            L.at<double>(2 * i, j + 6) = -mn.at<double>(0,i) * M.at<double>(j, i);
+            L.at<double>(2 * i + 1, j + 6) = -mn.at<double>(1,i) * M.at<double>(j, i);
+        }
+    }
+
+    if (Np > 4) L = L.t() * L;
+    SVD svd(L);
+    Mat hh = svd.vt.row(8) / svd.vt.row(8).at<double>(8);
+    Mat Hrem = hh.reshape(1, 3);
+    Mat H = inv_Hnorm * Hrem;
+
+    if (Np > 4)
+    {
+        Mat hhv = H.reshape(1, 9)(Rect(0, 0, 1, 8)).clone();
+        for (int iter = 0; iter < 10; iter++)
+        {
+            Mat mrep = H * M;
+            Mat J = Mat::zeros(2 * Np, 8, CV_64FC1);
+            Mat MMM;
+            divide(M, Mat::ones(3, 1, CV_64FC1) * mrep(Rect(0, 2, mrep.cols, 1)), MMM);
+            divide(mrep, Mat::ones(3, 1, CV_64FC1) * mrep(Rect(0, 2, mrep.cols, 1)), mrep);
+            Mat m_err = m(Rect(0,0, m.cols, 2)) - mrep(Rect(0,0, mrep.cols, 2));
+            m_err = Mat(m_err.t()).reshape(1, m_err.cols * m_err.rows);
+            Mat MMM2, MMM3;
+            multiply(Mat::ones(3, 1, CV_64FC1) * mrep(Rect(0, 0, mrep.cols, 1)), MMM, MMM2);
+            multiply(Mat::ones(3, 1, CV_64FC1) * mrep(Rect(0, 1, mrep.cols, 1)), MMM, MMM3);
+
+            for (int i = 0; i < Np; ++i)
+            {
+                for (int j = 0; j < 3; ++j)
+                {
+                    J.at<double>(2 * i, j)         = -MMM.at<double>(j, i);
+                    J.at<double>(2 * i + 1, j + 3) = -MMM.at<double>(j, i);
+                }
+
+                for (int j = 0; j < 2; ++j)
+                {
+                    J.at<double>(2 * i, j + 6)     = MMM2.at<double>(j, i);
+                    J.at<double>(2 * i + 1, j + 6) = MMM3.at<double>(j, i);
+                }
+            }
+            divide(M, Mat::ones(3, 1, CV_64FC1) * mrep(Rect(0,2,mrep.cols,1)), MMM);
+            Mat hh_innov = (J.t() * J).inv() * (J.t()) * m_err;
+            Mat hhv_up = hhv - hh_innov;
+            Mat tmp;
+            vconcat(hhv_up, Mat::ones(1,1,CV_64FC1), tmp);
+            Mat H_up = tmp.reshape(1,3);
+            hhv = hhv_up;
+            H = H_up;
+        }
+    }
+    return H;
+}
+
+cv::Mat cv::internal::NormalizePixels(const Mat& imagePoints, const IntrinsicParams& param)
+{
+    CV_Assert(!imagePoints.empty() && imagePoints.type() == CV_64FC2);
+
+    Mat distorted((int)imagePoints.total(), 1, CV_64FC2), undistorted;
+    const Vec2d* ptr   = imagePoints.ptr<Vec2d>(0);
+    Vec2d* ptr_d = distorted.ptr<Vec2d>(0);
+    for (size_t i = 0; i < imagePoints.total(); ++i)
+    {
+        ptr_d[i] = (ptr[i] - param.c).mul(Vec2d(1.0 / param.f[0], 1.0 / param.f[1]));
+        ptr_d[i][0] = ptr_d[i][0] - param.alpha * ptr_d[i][1];
+    }
+    cv::Fisheye::undistortPoints(distorted, undistorted, Matx33d::eye(), param.k);
+    return undistorted;
+}
+
+void cv::internal::InitExtrinsics(const Mat& _imagePoints, const Mat& _objectPoints, const IntrinsicParams& param, Mat& omckk, Mat& Tckk)
+{
+
+    CV_Assert(!_objectPoints.empty() && _objectPoints.type() == CV_64FC3);
+    CV_Assert(!_imagePoints.empty() && _imagePoints.type() == CV_64FC2);
+
+    Mat imagePointsNormalized = NormalizePixels(_imagePoints.t(), param).reshape(1).t();
+    Mat objectPoints = Mat(_objectPoints.t()).reshape(1).t();
+    Mat objectPointsMean, covObjectPoints;
+    Mat Rckk;
+    int Np = imagePointsNormalized.cols;
+    calcCovarMatrix(objectPoints, covObjectPoints, objectPointsMean, CV_COVAR_NORMAL | CV_COVAR_COLS);
+    SVD svd(covObjectPoints);
+    Mat R(svd.vt);
+    if (norm(R(Rect(2, 0, 1, 2))) < 1e-6)
+        R = Mat::eye(3,3, CV_64FC1);
+    if (determinant(R) < 0)
+        R = -R;
+    Mat T = -R * objectPointsMean;
+    Mat X_new = R * objectPoints + T * Mat::ones(1, Np, CV_64FC1);
+    Mat H = ComputeHomography(imagePointsNormalized, X_new(Rect(0,0,X_new.cols,2)));
+    double sc = .5 * (norm(H.col(0)) + norm(H.col(1)));
+    H = H / sc;
+    Mat u1 = H.col(0).clone();
+    u1  = u1 / norm(u1);
+    Mat u2 = H.col(1).clone() - u1.dot(H.col(1).clone()) * u1;
+    u2 = u2 / norm(u2);
+    Mat u3 = u1.cross(u2);
+    Mat RRR;
+    hconcat(u1, u2, RRR);
+    hconcat(RRR, u3, RRR);
+    Rodrigues(RRR, omckk);
+    Rodrigues(omckk, Rckk);
+    Tckk = H.col(2).clone();
+    Tckk = Tckk + Rckk * T;
+    Rckk = Rckk * R;
+    Rodrigues(Rckk, omckk);
+}
+
+void cv::internal::CalibrateExtrinsics(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+                         const IntrinsicParams& param, const int check_cond,
+                         const double thresh_cond, InputOutputArray omc, InputOutputArray Tc)
+{
+    CV_Assert(!objectPoints.empty() && (objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3));
+    CV_Assert(!imagePoints.empty() && (imagePoints.type() == CV_32FC2 || imagePoints.type() == CV_64FC2));
+    CV_Assert(omc.type() == CV_64FC3 || Tc.type() == CV_64FC3);
+
+    if (omc.empty()) omc.create(1, (int)objectPoints.total(), CV_64FC3);
+    if (Tc.empty()) Tc.create(1, (int)objectPoints.total(), CV_64FC3);
+
+    const int maxIter = 20;
+
+    for(int image_idx = 0; image_idx < (int)imagePoints.total(); ++image_idx)
+    {
+        Mat omckk, Tckk, JJ_kk;
+        Mat image, object;
+
+        objectPoints.getMat(image_idx).convertTo(object,  CV_64FC3);
+        imagePoints.getMat (image_idx).convertTo(image, CV_64FC2);
+
+        InitExtrinsics(image, object, param, omckk, Tckk);
+
+        ComputeExtrinsicRefine(image, object, omckk, Tckk, JJ_kk, maxIter, param, thresh_cond);
+        if (check_cond)
+        {
+            SVD svd(JJ_kk, SVD::NO_UV);
+            if (svd.w.at<double>(0) / svd.w.at<double>((int)svd.w.total() - 1) > thresh_cond)
+            {
+                CV_Assert(!"cond > thresh_cond");
+            }
+        }
+        omckk.reshape(3,1).copyTo(omc.getMat().col(image_idx));
+        Tckk.reshape(3,1).copyTo(Tc.getMat().col(image_idx));
+    }
+}
+
+
+void cv::internal::ComputeJacobians(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+                      const IntrinsicParams& param,  InputArray omc, InputArray Tc,
+                      const int& check_cond, const double& thresh_cond, Mat& JJ2_inv, Mat& ex3)
+{
+    CV_Assert(!objectPoints.empty() && (objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3));
+    CV_Assert(!imagePoints.empty() && (imagePoints.type() == CV_32FC2 || imagePoints.type() == CV_64FC2));
+
+    CV_Assert(!omc.empty() && omc.type() == CV_64FC3);
+    CV_Assert(!Tc.empty() && Tc.type() == CV_64FC3);
+
+    int n = (int)objectPoints.total();
+
+    Mat JJ3 = Mat::zeros(9 + 6 * n, 9 + 6 * n, CV_64FC1);
+    ex3 = Mat::zeros(9 + 6 * n, 1, CV_64FC1 );
+
+    for (int image_idx = 0; image_idx < n; ++image_idx)
+    {
+        Mat image, object;
+        objectPoints.getMat(image_idx).convertTo(object, CV_64FC3);
+        imagePoints.getMat (image_idx).convertTo(image, CV_64FC2);
+
+        Mat om(omc.getMat().col(image_idx)), T(Tc.getMat().col(image_idx));
+
+        std::vector<Point2d> x;
+        Mat jacobians;
+        projectPoints(object, x, om, T, param, jacobians);
+        Mat exkk = image.t() - Mat(x);
+
+        Mat A(jacobians.rows, 9, CV_64FC1);
+        jacobians.colRange(0, 4).copyTo(A.colRange(0, 4));
+        jacobians.col(14).copyTo(A.col(4));
+        jacobians.colRange(4, 8).copyTo(A.colRange(5, 9));
+
+        A = A.t();
+
+        Mat B = jacobians.colRange(8, 14).clone();
+        B = B.t();
+
+        JJ3(Rect(0, 0, 9, 9)) = JJ3(Rect(0, 0, 9, 9)) + A * A.t();
+        JJ3(Rect(9 + 6 * image_idx, 9 + 6 * image_idx, 6, 6)) = B * B.t();
+
+        Mat AB = A * B.t();
+        AB.copyTo(JJ3(Rect(9 + 6 * image_idx, 0, 6, 9)));
+
+        JJ3(Rect(0, 9 + 6 * image_idx, 9, 6)) = AB.t();
+        ex3(Rect(0,0,1,9)) = ex3(Rect(0,0,1,9)) + A * exkk.reshape(1, 2 * exkk.rows);
+
+        ex3(Rect(0, 9 + 6 * image_idx, 1, 6)) = B * exkk.reshape(1, 2 * exkk.rows);
+
+        if (check_cond)
+        {
+            Mat JJ_kk = B.t();
+            SVD svd(JJ_kk, SVD::NO_UV);
+            double cond = svd.w.at<double>(0) / svd.w.at<double>(svd.w.rows - 1);
+            if (cond  > thresh_cond)
+            {
+                CV_Assert(!"cond  > thresh_cond");
+            }
+        }
+    }
+
+    vector<int> idxs(param.isEstimate);
+    idxs.insert(idxs.end(), 6 * n, 1);
+
+    subMatrix(JJ3, JJ3, idxs, idxs);
+    subMatrix(ex3, ex3, std::vector<int>(1, 1), idxs);
+    JJ2_inv = JJ3.inv();
+}
+
+void cv::internal::EstimateUncertainties(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+                           const IntrinsicParams& params, InputArray omc, InputArray Tc,
+                           IntrinsicParams& errors, Vec2d& std_err, double thresh_cond, int check_cond, double& rms)
+{
+    CV_Assert(!objectPoints.empty() && (objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3));
+    CV_Assert(!imagePoints.empty() && (imagePoints.type() == CV_32FC2 || imagePoints.type() == CV_64FC2));
+
+    CV_Assert(!omc.empty() && omc.type() == CV_64FC3);
+    CV_Assert(!Tc.empty() && Tc.type() == CV_64FC3);
+
+    Mat ex((int)(objectPoints.getMat(0).total() * objectPoints.total()), 1, CV_64FC2);
+
+    for (size_t image_idx = 0; image_idx < objectPoints.total(); ++image_idx)
+    {
+        Mat image, object;
+        objectPoints.getMat(image_idx).convertTo(object, CV_64FC3);
+        imagePoints.getMat (image_idx).convertTo(image, CV_64FC2);
+
+        Mat om(omc.getMat().col(image_idx)), T(Tc.getMat().col(image_idx));
+
+        std::vector<Point2d> x;
+        projectPoints(object, x, om, T, params, noArray());
+        Mat ex_ = image.t() - Mat(x);
+        ex_.copyTo(ex.rowRange(ex_.rows * image_idx,  ex_.rows * (image_idx + 1)));
+    }
+
+    meanStdDev(ex, noArray(), std_err);
+    std_err *= sqrt(ex.total()/(ex.total() - 1.0));
+
+    Mat sigma_x;
+    meanStdDev(ex.reshape(1, 1), noArray(), sigma_x);
+    sigma_x  *= sqrt(2 * ex.total()/(2 * ex.total() - 1.0));
+
+    Mat _JJ2_inv, ex3;
+    ComputeJacobians(objectPoints, imagePoints, params, omc, Tc, check_cond, thresh_cond, _JJ2_inv, ex3);
+
+    Mat_<double>& JJ2_inv = (Mat_<double>&)_JJ2_inv;
+
+    sqrt(JJ2_inv, JJ2_inv);
+
+    double s  = sigma_x.at<double>(0);
+    Mat r = 3 * s * JJ2_inv.diag();
+    errors = r;
+
+    rms = 0;
+    const Vec2d* ptr_ex = ex.ptr<Vec2d>();
+    for (size_t i = 0; i < ex.total(); i++)
+    {
+        rms += ptr_ex[i][0] * ptr_ex[i][0] + ptr_ex[i][1] * ptr_ex[i][1];
+    }
+
+    rms /= ex.total();
+    rms = sqrt(rms);
+}
diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
new file mode 100644
index 0000000000..3989e1bc2f
--- /dev/null
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -0,0 +1,423 @@
+#include "test_precomp.hpp"
+
+#include <iostream>
+#include <fstream>
+#include <string>
+#include <climits>
+#include <algorithm>
+
+#include <opencv2/ts/gpu_test.hpp>
+#include <opencv2/ts/ts_perf.hpp>
+#include <opencv2/ts/ts.hpp>
+
+#define DEF_PARAM_TEST(name, ...)  typedef ::perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > name
+#define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > >
+
+
+namespace FishEye
+{
+    const static cv::Size imageSize(1280, 800);
+
+    const static cv::Matx33d K(558.478087865323,               0, 620.458515360843,
+                                  0, 560.506767351568, 381.939424848348,
+                                  0,               0,                1);
+
+    const static cv::Vec4d D(-0.0014613319981768, -0.00329861110580401, 0.00605760088590183, -0.00374209380722371);
+
+    const static cv::Matx33d R ( 9.9756700084424932e-01, 6.9698277640183867e-02, 1.4929569991321144e-03,
+                                -6.9711825162322980e-02, 9.9748249845531767e-01, 1.2997180766418455e-02,
+                                -5.8331736398316541e-04,-1.3069635393884985e-02, 9.9991441852366736e-01);
+
+    const static cv::Vec3d T(-9.9217369356044638e-02, 3.1741831972356663e-03, 1.8551007952921010e-04);
+}
+
+namespace{
+std::string combine(const std::string& _item1, const std::string& _item2)
+{
+    std::string item1 = _item1, item2 = _item2;
+    std::replace(item1.begin(), item1.end(), '\\', '/');
+    std::replace(item2.begin(), item2.end(), '\\', '/');
+
+    if (item1.empty())
+        return item2;
+
+    if (item2.empty())
+        return item1;
+
+    char last = item1[item1.size()-1];
+    return item1 + (last != '/' ? "/" : "") + item2;
+}
+
+std::string combine_format(const std::string& item1, const std::string& item2, ...)
+{
+    std::string fmt = combine(item1, item2);
+    char buffer[1 << 16];
+    va_list args;
+    va_start( args, item2 );
+    vsprintf( buffer, fmt.c_str(), args );
+    va_end( args );
+    return std::string(buffer);
+}
+
+void readPoins(std::vector<std::vector<cv::Point3d> >& objectPoints,
+               std::vector<std::vector<cv::Point2d> >& imagePoints,
+               const std::string& path, const int n_images, const int n_points)
+{
+    objectPoints.resize(n_images);
+    imagePoints.resize(n_images);
+
+    std::vector<cv::Point2d> image(n_points);
+    std::vector<cv::Point3d> object(n_points);
+
+    std::ifstream ipStream;
+    std::ifstream opStream;
+
+    for (int image_idx = 0; image_idx < n_images; image_idx++)
+    {
+        std::stringstream ss;
+        ss << image_idx;
+        std::string idxStr = ss.str();
+
+        ipStream.open(combine(path, std::string(std::string("x_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
+        opStream.open(combine(path, std::string(std::string("X_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
+        CV_Assert(ipStream.is_open() && opStream.is_open());
+
+        for (int point_idx = 0; point_idx < n_points; point_idx++)
+        {
+            double x, y, z;
+            char delim;
+            ipStream >> x >> delim >> y;
+            image[point_idx] = cv::Point2d(x, y);
+            opStream >> x >> delim >> y >> delim >> z;
+            object[point_idx] = cv::Point3d(x, y, z);
+        }
+        ipStream.close();
+        opStream.close();
+
+        imagePoints[image_idx] = image;
+        objectPoints[image_idx] = object;
+    }
+}
+
+void readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,
+                    cv::OutputArray _P1, cv::OutputArray _P2, cv::OutputArray _Q)
+{
+    cv::FileStorage fs(file, cv::FileStorage::READ);
+    CV_Assert(fs.isOpened());
+
+    cv::Mat R, T, R1, R2, P1, P2, Q;
+    fs["R"] >> R;   fs["T"] >> T;   fs["R1"] >> R1;   fs["R2"] >> R2;   fs["P1"] >> P1;   fs["P2"] >> P2;   fs["Q"] >> Q;
+    if (_R.needed()) R.copyTo(_R); if(_T.needed()) T.copyTo(_T); if (_R1.needed()) R1.copyTo(_R1); if (_R2.needed()) R2.copyTo(_R2);
+    if(_P1.needed()) P1.copyTo(_P1); if(_P2.needed()) P2.copyTo(_P2); if(_Q.needed()) Q.copyTo(_Q);
+}
+
+cv::Mat mergeRectification(const cv::Mat& l, const cv::Mat& r, double scale)
+{
+    CV_Assert(l.type() == r.type() && l.size() == r.size());
+    cv::Mat merged(l.rows, l.cols * 2, l.type());
+    cv::Mat lpart = merged.colRange(0, l.cols);
+    cv::Mat rpart = merged.colRange(l.cols, merged.cols);
+    l.copyTo(lpart);
+    r.copyTo(rpart);
+
+    for(int i = 0; i < l.rows; i+=20)
+        cv::line(merged, cv::Point(0, i), cv::Point(merged.cols, i), CV_RGB(0, 255, 0));
+
+    return merged;
+}
+
+}
+
+
+
+/// Change this parameter via CMake: cmake -DDATASETS_REPOSITORY_FOLDER=<path>
+//const static std::string datasets_repository_path = "DATASETS_REPOSITORY_FOLDER";
+const static std::string datasets_repository_path = "/home/krylov/data";
+
+TEST(FisheyeTest, projectPoints)
+{
+    double cols = FishEye::imageSize.width,
+           rows = FishEye::imageSize.height;
+
+    const int N = 20;
+    cv::Mat distorted0(1, N*N, CV_64FC2), undist1, undist2, distorted1, distorted2;
+    undist2.create(distorted0.size(), CV_MAKETYPE(distorted0.depth(), 3));
+    cv::Vec2d* pts = distorted0.ptr<cv::Vec2d>();
+
+    cv::Vec2d c(FishEye::K(0, 2), FishEye::K(1, 2));
+    for(int y = 0, k = 0; y < N; ++y)
+        for(int x = 0; x < N; ++x)
+        {
+            cv::Vec2d point(x*cols/(N-1.f), y*rows/(N-1.f));
+            pts[k++] = (point - c) * 0.85 + c;
+        }
+
+    cv::Fisheye::undistortPoints(distorted0, undist1, FishEye::K, FishEye::D);
+
+    cv::Vec2d* u1 = undist1.ptr<cv::Vec2d>();
+    cv::Vec3d* u2 = undist2.ptr<cv::Vec3d>();
+    for(int i = 0; i  < (int)distorted0.total(); ++i)
+        u2[i] = cv::Vec3d(u1[i][0], u1[i][1], 1.0);
+
+    cv::Fisheye::distortPoints(undist1, distorted1, FishEye::K, FishEye::D);
+    cv::Fisheye::projectPoints(undist2, distorted2, cv::Vec3d::all(0), cv::Vec3d::all(0), FishEye::K, FishEye::D);
+
+    EXPECT_MAT_NEAR(distorted0, distorted1, 1e-5);
+    EXPECT_MAT_NEAR(distorted0, distorted2, 1e-5);
+}
+
+TEST(FisheyeTest, undistortImage)
+{
+    cv::Matx33d K = FishEye::K;
+    cv::Mat D = cv::Mat(FishEye::D);
+    std::string file = combine(datasets_repository_path, "image000001.png");
+
+    cv::Matx33d newK = K;
+    cv::Mat distorted = cv::imread(file), undistorted;
+
+    {
+        newK(0, 0) = 100;
+        newK(1, 1) = 100;
+        cv::Fisheye::undistortImage(distorted, undistorted, K, D, newK);
+        cv::Mat correct = cv::imread(combine(datasets_repository_path, "test_undistortImage/new_f_100.png"));
+        if (correct.empty())
+            CV_Assert(cv::imwrite(combine(datasets_repository_path, "test_undistortImage/new_f_100.png"), undistorted));
+        else
+            EXPECT_MAT_NEAR(correct, undistorted, 1e-15);
+    }
+    {
+        double balance = 1.0;
+        cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
+        cv::Fisheye::undistortImage(distorted, undistorted, K, D, newK);
+        cv::Mat correct = cv::imread(combine(datasets_repository_path, "test_undistortImage/balance_1.0.png"));
+        if (correct.empty())
+            CV_Assert(cv::imwrite(combine(datasets_repository_path, "test_undistortImage/balance_1.0.png"), undistorted));
+        else
+            EXPECT_MAT_NEAR(correct, undistorted, 1e-15);
+    }
+
+    {
+        double balance = 0.0;
+        cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
+        cv::Fisheye::undistortImage(distorted, undistorted, K, D, newK);
+        cv::Mat correct = cv::imread(combine(datasets_repository_path, "test_undistortImage/balance_0.0.png"));
+        if (correct.empty())
+            CV_Assert(cv::imwrite(combine(datasets_repository_path, "test_undistortImage/balance_0.0.png"), undistorted));
+        else
+            EXPECT_MAT_NEAR(correct, undistorted, 1e-15);
+    }
+
+    cv::waitKey();
+}
+
+TEST(FisheyeTest, jacobians)
+{
+    int n = 10;
+    cv::Mat X(1, n, CV_32FC4);
+    cv::Mat om(3, 1, CV_64F), T(3, 1, CV_64F);
+    cv::Mat f(2, 1, CV_64F), c(2, 1, CV_64F);
+    cv::Mat k(4, 1, CV_64F);
+    double alpha;
+
+    cv::RNG& r = cv::theRNG();
+
+    r.fill(X, cv::RNG::NORMAL, 0, 1);
+    X = cv::abs(X) * 10;
+
+    r.fill(om, cv::RNG::NORMAL, 0, 1);
+    om = cv::abs(om);
+
+    r.fill(T, cv::RNG::NORMAL, 0, 1);
+    T = cv::abs(T); T.at<double>(2) = 4; T *= 10;
+
+    r.fill(f, cv::RNG::NORMAL, 0, 1);
+    f = cv::abs(f) * 1000;
+
+    r.fill(c, cv::RNG::NORMAL, 0, 1);
+    c = cv::abs(c) * 1000;
+
+    r.fill(k, cv::RNG::NORMAL, 0, 1);
+    k*= 0.5;
+
+    alpha = 0.01*r.gaussian(1);
+
+
+    CV_Assert(!"/////////");
+}
+
+TEST(FisheyeTest, Calibration)
+{
+    const int n_images = 34;
+    const int n_points = 48;
+
+    cv::Size imageSize = cv::Size(1280, 800);
+    std::vector<std::vector<cv::Point2d> > imagePoints;
+    std::vector<std::vector<cv::Point3d> > objectPoints;
+
+    readPoins(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images, n_points);
+
+    int flag = 0;
+    flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
+    flag |= cv::Fisheye::CALIB_CHECK_COND;
+    flag |= cv::Fisheye::CALIB_FIX_SKEW;
+
+    cv::Matx33d K;
+    cv::Vec4d D;
+
+    cv::Fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
+                           cv::noArray(), cv::noArray(), flag, cv::TermCriteria(3, 20, 1e-6));
+
+    EXPECT_MAT_NEAR(K, FishEye::K, 1e-11);
+    EXPECT_MAT_NEAR(D, FishEye::D, 1e-12);
+}
+
+TEST(FisheyeTest, Homography)
+{
+    const int n_images = 1;
+    const int n_points = 48;
+
+    cv::Size imageSize = cv::Size(1280, 800);
+    std::vector<std::vector<cv::Point2d> > imagePoints;
+    std::vector<std::vector<cv::Point3d> > objectPoints;
+
+    readPoins(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images, n_points);
+    cv::internal::IntrinsicParams param;
+    param.Init(cv::Vec2d(cv::max(imageSize.width, imageSize.height) / CV_PI, cv::max(imageSize.width, imageSize.height) / CV_PI),
+               cv::Vec2d(imageSize.width  / 2.0 - 0.5, imageSize.height / 2.0 - 0.5));
+
+    cv::Mat _imagePoints (imagePoints[0]);
+    cv::Mat _objectPoints(objectPoints[0]);
+
+    cv::Mat imagePointsNormalized = NormalizePixels(_imagePoints, param).reshape(1).t();
+    _objectPoints = _objectPoints.reshape(1).t();
+    cv::Mat objectPointsMean, covObjectPoints;
+
+    int Np = imagePointsNormalized.cols;
+    cv::calcCovarMatrix(_objectPoints, covObjectPoints, objectPointsMean, CV_COVAR_NORMAL | CV_COVAR_COLS);
+    cv::SVD svd(covObjectPoints);
+    cv::Mat R(svd.vt);
+
+    if (cv::norm(R(cv::Rect(2, 0, 1, 2))) < 1e-6)
+        R = cv::Mat::eye(3,3, CV_64FC1);
+    if (cv::determinant(R) < 0)
+        R = -R;
+
+    cv::Mat T = -R * objectPointsMean;
+    cv::Mat X_new = R * _objectPoints + T * cv::Mat::ones(1, Np, CV_64FC1);
+    cv::Mat H = cv::internal::ComputeHomography(imagePointsNormalized, X_new.rowRange(0, 2));
+
+    cv::Mat M = cv::Mat::ones(3, X_new.cols, CV_64FC1);
+    X_new.rowRange(0, 2).copyTo(M.rowRange(0, 2));
+    cv::Mat mrep = H * M;
+
+    cv::divide(mrep, cv::Mat::ones(3,1, CV_64FC1) * mrep.row(2).clone(), mrep);
+
+    cv::Mat merr = (mrep.rowRange(0, 2) - imagePointsNormalized).t();
+
+    cv::Vec2d std_err;
+    cv::meanStdDev(merr.reshape(2), cv::noArray(), std_err);
+    std_err *= sqrt((double)merr.reshape(2).total() / (merr.reshape(2).total() - 1));
+
+    cv::Vec2d correct_std_err(0.00516740156010384, 0.00644205331553901);
+    EXPECT_MAT_NEAR(std_err, correct_std_err, 1e-16);
+}
+
+TEST(TestFisheye, EtimateUncertainties)
+{
+    const int n_images = 34;
+    const int n_points = 48;
+
+    cv::Size imageSize = cv::Size(1280, 800);
+    std::vector<std::vector<cv::Point2d> > imagePoints;
+    std::vector<std::vector<cv::Point3d> > objectPoints;
+
+    readPoins(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images, n_points);
+
+    int flag = 0;
+    flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
+    flag |= cv::Fisheye::CALIB_CHECK_COND;
+    flag |= cv::Fisheye::CALIB_FIX_SKEW;
+
+    cv::Matx33d K;
+    cv::Vec4d D;
+    std::vector<cv::Vec3d> rvec;
+    std::vector<cv::Vec3d> tvec;
+
+    cv::Fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
+                           cv::noArray(), cv::noArray(), flag, cv::TermCriteria(3, 20, 1e-6));
+
+    cv::internal::IntrinsicParams param, errors;
+    cv::Vec2d err_std;
+    double thresh_cond = 1e6;
+    int check_cond = 1;
+    param.Init(cv::Vec2d(K(0,0), K(1,1)), cv::Vec2d(K(0,2), K(1, 2)), D);
+    param.isEstimate = std::vector<int>(9, 1);
+    param.isEstimate[4] = 0;
+
+    errors.isEstimate = param.isEstimate;
+
+    double rms;
+
+    cv::internal::EstimateUncertainties(objectPoints, imagePoints, param,  rvec, tvec,
+                                        errors, err_std, thresh_cond, check_cond, rms);
+
+    EXPECT_MAT_NEAR(errors.f, cv::Vec2d(1.29837104202046,  1.31565641071524), 1e-14);
+    EXPECT_MAT_NEAR(errors.c, cv::Vec2d(0.890439368129246, 0.816096854937896), 1e-15);
+    EXPECT_MAT_NEAR(errors.k, cv::Vec4d(0.00516248605191506, 0.0168181467500934, 0.0213118690274604, 0.00916010877545648), 1e-15);
+    EXPECT_MAT_NEAR(err_std, cv::Vec2d(0.187475975266883, 0.185678953263995), 1e-15);
+    CV_Assert(abs(rms - 0.263782587133546) < 1e-15);
+    CV_Assert(errors.alpha == 0);
+  }
+
+TEST(FisheyeTest, rectify)
+{
+    const std::string folder =combine(datasets_repository_path, "calib-3_stereo_from_JY");
+
+    cv::Size calibration_size = FishEye::imageSize, requested_size = calibration_size;
+    cv::Matx33d K1 = FishEye::K, K2 = K1;
+    cv::Mat D1 = cv::Mat(FishEye::D), D2 = D1;
+
+    cv::Vec3d T = FishEye::T;
+    cv::Matx33d R = FishEye::R;
+
+    double balance = 0.0, fov_scale = 1.1;
+    cv::Mat R1, R2, P1, P2, Q;
+    cv::Fisheye::stereoRectify(K1, D1, K2, D2, calibration_size, R, T, R1, R2, P1, P2, Q,
+                      cv::CALIB_ZERO_DISPARITY, requested_size, balance, fov_scale);
+
+    cv::Mat lmapx, lmapy, rmapx, rmapy;
+    //rewrite for fisheye
+    cv::Fisheye::initUndistortRectifyMap(K1, D1, R1, P1, requested_size, CV_32F, lmapx, lmapy);
+    cv::Fisheye::initUndistortRectifyMap(K2, D2, R2, P2, requested_size, CV_32F, rmapx, rmapy);
+
+    cv::Mat l, r, lundist, rundist;
+    cv::VideoCapture lcap(combine(folder, "left/stereo_pair_%03d.jpg")),
+                     rcap(combine(folder, "right/stereo_pair_%03d.jpg"));
+
+    for(int i = 0;; ++i)
+    {
+        lcap >> l; rcap >> r;
+        if (l.empty() || r.empty())
+            break;
+
+        int ndisp = 128;
+        cv::rectangle(l, cv::Rect(255,       0, 829,       l.rows-1), CV_RGB(255, 0, 0));
+        cv::rectangle(r, cv::Rect(255,       0, 829,       l.rows-1), CV_RGB(255, 0, 0));
+        cv::rectangle(r, cv::Rect(255-ndisp, 0, 829+ndisp ,l.rows-1), CV_RGB(255, 0, 0));
+        cv::remap(l, lundist, lmapx, lmapy, cv::INTER_LINEAR);
+        cv::remap(r, rundist, rmapx, rmapy, cv::INTER_LINEAR);
+
+        cv::Mat rectification = mergeRectification(lundist, rundist, 0.75);
+
+        cv::Mat correct = cv::imread(combine_format(folder, "test_rectify/rectification_AB_%03d.png", i));
+        if (correct.empty())
+            cv::imwrite(combine_format(folder, "test_rectify/rectification_AB_%03d.png", i), rectification);
+        else
+            EXPECT_MAT_NEAR(correct, rectification, 1e-15);
+    }
+}
+
+
+
+
+

From 35e1b322cbc9640fc60ab03b6fc5783782c6ca1b Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Fri, 25 Apr 2014 18:36:48 +0400
Subject: [PATCH 04/92] Added test for jacobians

---
 modules/calib3d/test/test_fisheye.cpp | 91 ++++++++++++++++++++-------
 1 file changed, 70 insertions(+), 21 deletions(-)

diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index 3989e1bc2f..b2f47987cb 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -1,18 +1,13 @@
 #include "test_precomp.hpp"
-
-#include <iostream>
-#include <fstream>
-#include <string>
-#include <climits>
-#include <algorithm>
-
+#include<fstream>
 #include <opencv2/ts/gpu_test.hpp>
-#include <opencv2/ts/ts_perf.hpp>
-#include <opencv2/ts/ts.hpp>
 
 #define DEF_PARAM_TEST(name, ...)  typedef ::perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > name
 #define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > >
 
+/// Change this parameter via CMake: cmake -DDATASETS_REPOSITORY_FOLDER=<path>
+//const static std::string datasets_repository_path = "DATASETS_REPOSITORY_FOLDER";
+const static std::string datasets_repository_path = "/home/krylov/data";
 
 namespace FishEye
 {
@@ -111,7 +106,7 @@ void readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray
     if(_P1.needed()) P1.copyTo(_P1); if(_P2.needed()) P2.copyTo(_P2); if(_Q.needed()) Q.copyTo(_Q);
 }
 
-cv::Mat mergeRectification(const cv::Mat& l, const cv::Mat& r, double scale)
+cv::Mat mergeRectification(const cv::Mat& l, const cv::Mat& r)
 {
     CV_Assert(l.type() == r.type() && l.size() == r.size());
     cv::Mat merged(l.rows, l.cols * 2, l.type());
@@ -128,12 +123,6 @@ cv::Mat mergeRectification(const cv::Mat& l, const cv::Mat& r, double scale)
 
 }
 
-
-
-/// Change this parameter via CMake: cmake -DDATASETS_REPOSITORY_FOLDER=<path>
-//const static std::string datasets_repository_path = "DATASETS_REPOSITORY_FOLDER";
-const static std::string datasets_repository_path = "/home/krylov/data";
-
 TEST(FisheyeTest, projectPoints)
 {
     double cols = FishEye::imageSize.width,
@@ -213,7 +202,7 @@ TEST(FisheyeTest, undistortImage)
 TEST(FisheyeTest, jacobians)
 {
     int n = 10;
-    cv::Mat X(1, n, CV_32FC4);
+    cv::Mat X(1, n, CV_64FC3);
     cv::Mat om(3, 1, CV_64F), T(3, 1, CV_64F);
     cv::Mat f(2, 1, CV_64F), c(2, 1, CV_64F);
     cv::Mat k(4, 1, CV_64F);
@@ -221,7 +210,7 @@ TEST(FisheyeTest, jacobians)
 
     cv::RNG& r = cv::theRNG();
 
-    r.fill(X, cv::RNG::NORMAL, 0, 1);
+    r.fill(X, cv::RNG::NORMAL, 2, 1);
     X = cv::abs(X) * 10;
 
     r.fill(om, cv::RNG::NORMAL, 0, 1);
@@ -241,8 +230,68 @@ TEST(FisheyeTest, jacobians)
 
     alpha = 0.01*r.gaussian(1);
 
-
-    CV_Assert(!"/////////");
+    cv::Mat x1, x2, xpred;
+    cv::Matx33d K(f.at<double>(0), alpha * f.at<double>(0), c.at<double>(0),
+                     0,            f.at<double>(1), c.at<double>(1),
+                     0,            0,    1);
+
+    cv::Mat jacobians;
+    cv::Fisheye::projectPoints(X, x1, om, T, K, k, alpha, jacobians);
+
+    //test on T:
+    cv::Mat dT(3, 1, CV_64FC1);
+    r.fill(dT, cv::RNG::NORMAL, 0, 1);
+    dT *= 1e-9*cv::norm(T);
+    cv::Mat T2 = T + dT;
+    cv::Fisheye::projectPoints(X, x2, om, T2, K, k, alpha, cv::noArray());
+    xpred = x1 + cv::Mat(jacobians.colRange(11,14) * dT).reshape(2, 1);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+
+    //test on om:
+    cv::Mat dom(3, 1, CV_64FC1);
+    r.fill(dom, cv::RNG::NORMAL, 0, 1);
+    dom *= 1e-9*cv::norm(om);
+    cv::Mat om2 = om + dom;
+    cv::Fisheye::projectPoints(X, x2, om2, T, K, k, alpha, cv::noArray());
+    xpred = x1 + cv::Mat(jacobians.colRange(8,11) * dom).reshape(2, 1);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+
+    //test on f:
+    cv::Mat df(2, 1, CV_64FC1);
+    r.fill(df, cv::RNG::NORMAL, 0, 1);
+    df *= 1e-9*cv::norm(f);
+    cv::Matx33d K2 = K + cv::Matx33d(df.at<double>(0), df.at<double>(0) * alpha, 0, 0, df.at<double>(1), 0, 0, 0, 0);
+    cv::Fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
+    xpred = x1 + cv::Mat(jacobians.colRange(0,2) * df).reshape(2, 1);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+
+    //test on c:
+    cv::Mat dc(2, 1, CV_64FC1);
+    r.fill(dc, cv::RNG::NORMAL, 0, 1);
+    dc *= 1e-9*cv::norm(c);
+    K2 = K + cv::Matx33d(0, 0, dc.at<double>(0), 0, 0, dc.at<double>(1), 0, 0, 0);
+    cv::Fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
+    xpred = x1 + cv::Mat(jacobians.colRange(2,4) * dc).reshape(2, 1);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+
+    //test on k:
+    cv::Mat dk(4, 1, CV_64FC1);
+    r.fill(dk, cv::RNG::NORMAL, 0, 1);
+    dk *= 1e-9*cv::norm(k);
+    cv::Mat k2 = k + dk;
+    cv::Fisheye::projectPoints(X, x2, om, T, K, k2, alpha, cv::noArray());
+    xpred = x1 + cv::Mat(jacobians.colRange(4,8) * dk).reshape(2, 1);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+
+    //test on alpha:
+    cv::Mat dalpha(1, 1, CV_64FC1);
+    r.fill(dalpha, cv::RNG::NORMAL, 0, 1);
+    dalpha *= 1e-9*cv::norm(f);
+    double alpha2 = alpha + dalpha.at<double>(0);
+    K2 = K + cv::Matx33d(0, f.at<double>(0) * dalpha.at<double>(0), 0, 0, 0, 0, 0, 0, 0);
+    cv::Fisheye::projectPoints(X, x2, om, T, K, k, alpha2, cv::noArray());
+    xpred = x1 + cv::Mat(jacobians.col(14) * dalpha).reshape(2, 1);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
 }
 
 TEST(FisheyeTest, Calibration)
@@ -407,7 +456,7 @@ TEST(FisheyeTest, rectify)
         cv::remap(l, lundist, lmapx, lmapy, cv::INTER_LINEAR);
         cv::remap(r, rundist, rmapx, rmapy, cv::INTER_LINEAR);
 
-        cv::Mat rectification = mergeRectification(lundist, rundist, 0.75);
+        cv::Mat rectification = mergeRectification(lundist, rundist);
 
         cv::Mat correct = cv::imread(combine_format(folder, "test_rectify/rectification_AB_%03d.png", i));
         if (correct.empty())

From 05ee15f10881265f1e930cc65a83951844f7828a Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Mon, 28 Apr 2014 12:01:27 +0400
Subject: [PATCH 05/92] Added FisheyeTest

---
 modules/calib3d/test/test_fisheye.cpp | 329 ++++++++++++++------------
 1 file changed, 173 insertions(+), 156 deletions(-)

diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index b2f47987cb..e7d4b311c7 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -2,138 +2,49 @@
 #include<fstream>
 #include <opencv2/ts/gpu_test.hpp>
 
-#define DEF_PARAM_TEST(name, ...)  typedef ::perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > name
-#define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > >
-
-/// Change this parameter via CMake: cmake -DDATASETS_REPOSITORY_FOLDER=<path>
-//const static std::string datasets_repository_path = "DATASETS_REPOSITORY_FOLDER";
-const static std::string datasets_repository_path = "/home/krylov/data";
-
-namespace FishEye
-{
-    const static cv::Size imageSize(1280, 800);
-
-    const static cv::Matx33d K(558.478087865323,               0, 620.458515360843,
-                                  0, 560.506767351568, 381.939424848348,
-                                  0,               0,                1);
-
-    const static cv::Vec4d D(-0.0014613319981768, -0.00329861110580401, 0.00605760088590183, -0.00374209380722371);
-
-    const static cv::Matx33d R ( 9.9756700084424932e-01, 6.9698277640183867e-02, 1.4929569991321144e-03,
-                                -6.9711825162322980e-02, 9.9748249845531767e-01, 1.2997180766418455e-02,
-                                -5.8331736398316541e-04,-1.3069635393884985e-02, 9.9991441852366736e-01);
-
-    const static cv::Vec3d T(-9.9217369356044638e-02, 3.1741831972356663e-03, 1.8551007952921010e-04);
-}
-
-namespace{
-std::string combine(const std::string& _item1, const std::string& _item2)
-{
-    std::string item1 = _item1, item2 = _item2;
-    std::replace(item1.begin(), item1.end(), '\\', '/');
-    std::replace(item2.begin(), item2.end(), '\\', '/');
-
-    if (item1.empty())
-        return item2;
-
-    if (item2.empty())
-        return item1;
-
-    char last = item1[item1.size()-1];
-    return item1 + (last != '/' ? "/" : "") + item2;
-}
-
-std::string combine_format(const std::string& item1, const std::string& item2, ...)
-{
-    std::string fmt = combine(item1, item2);
-    char buffer[1 << 16];
-    va_list args;
-    va_start( args, item2 );
-    vsprintf( buffer, fmt.c_str(), args );
-    va_end( args );
-    return std::string(buffer);
-}
-
-void readPoins(std::vector<std::vector<cv::Point3d> >& objectPoints,
-               std::vector<std::vector<cv::Point2d> >& imagePoints,
-               const std::string& path, const int n_images, const int n_points)
-{
-    objectPoints.resize(n_images);
-    imagePoints.resize(n_images);
-
-    std::vector<cv::Point2d> image(n_points);
-    std::vector<cv::Point3d> object(n_points);
-
-    std::ifstream ipStream;
-    std::ifstream opStream;
-
-    for (int image_idx = 0; image_idx < n_images; image_idx++)
-    {
-        std::stringstream ss;
-        ss << image_idx;
-        std::string idxStr = ss.str();
-
-        ipStream.open(combine(path, std::string(std::string("x_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
-        opStream.open(combine(path, std::string(std::string("X_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
-        CV_Assert(ipStream.is_open() && opStream.is_open());
-
-        for (int point_idx = 0; point_idx < n_points; point_idx++)
-        {
-            double x, y, z;
-            char delim;
-            ipStream >> x >> delim >> y;
-            image[point_idx] = cv::Point2d(x, y);
-            opStream >> x >> delim >> y >> delim >> z;
-            object[point_idx] = cv::Point3d(x, y, z);
-        }
-        ipStream.close();
-        opStream.close();
-
-        imagePoints[image_idx] = image;
-        objectPoints[image_idx] = object;
+class FisheyeTest : public ::testing::Test {
+
+protected:
+    const static cv::Size imageSize;
+    const static cv::Matx33d K;
+    const static cv::Vec4d D;
+    const static cv::Matx33d R;
+    const static cv::Vec3d T;
+    std::string datasets_repository_path;
+
+    virtual void SetUp() {
+        datasets_repository_path = combine(cvtest::TS::ptr()->get_data_path(), "cameracalibration/fisheye");
     }
-}
 
-void readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,
-                    cv::OutputArray _P1, cv::OutputArray _P2, cv::OutputArray _Q)
-{
-    cv::FileStorage fs(file, cv::FileStorage::READ);
-    CV_Assert(fs.isOpened());
+protected:
+    std::string combine(const std::string& _item1, const std::string& _item2);
 
-    cv::Mat R, T, R1, R2, P1, P2, Q;
-    fs["R"] >> R;   fs["T"] >> T;   fs["R1"] >> R1;   fs["R2"] >> R2;   fs["P1"] >> P1;   fs["P2"] >> P2;   fs["Q"] >> Q;
-    if (_R.needed()) R.copyTo(_R); if(_T.needed()) T.copyTo(_T); if (_R1.needed()) R1.copyTo(_R1); if (_R2.needed()) R2.copyTo(_R2);
-    if(_P1.needed()) P1.copyTo(_P1); if(_P2.needed()) P2.copyTo(_P2); if(_Q.needed()) Q.copyTo(_Q);
-}
+    std::string combine_format(const std::string& item1, const std::string& item2, ...);
 
-cv::Mat mergeRectification(const cv::Mat& l, const cv::Mat& r)
-{
-    CV_Assert(l.type() == r.type() && l.size() == r.size());
-    cv::Mat merged(l.rows, l.cols * 2, l.type());
-    cv::Mat lpart = merged.colRange(0, l.cols);
-    cv::Mat rpart = merged.colRange(l.cols, merged.cols);
-    l.copyTo(lpart);
-    r.copyTo(rpart);
+    void readPoins(std::vector<std::vector<cv::Point3d> >& objectPoints,
+                   std::vector<std::vector<cv::Point2d> >& imagePoints,
+                   const std::string& path, const int n_images, const int n_points);
 
-    for(int i = 0; i < l.rows; i+=20)
-        cv::line(merged, cv::Point(0, i), cv::Point(merged.cols, i), CV_RGB(0, 255, 0));
+    void readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,
+                        cv::OutputArray _P1, cv::OutputArray _P2, cv::OutputArray _Q);
 
-    return merged;
-}
+    cv::Mat mergeRectification(const cv::Mat& l, const cv::Mat& r);
+};
 
-}
+////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
+///  TESTS::
 
-TEST(FisheyeTest, projectPoints)
+TEST_F(FisheyeTest, projectPoints)
 {
-    double cols = FishEye::imageSize.width,
-           rows = FishEye::imageSize.height;
+    double cols = this->imageSize.width,
+           rows = this->imageSize.height;
 
     const int N = 20;
     cv::Mat distorted0(1, N*N, CV_64FC2), undist1, undist2, distorted1, distorted2;
     undist2.create(distorted0.size(), CV_MAKETYPE(distorted0.depth(), 3));
     cv::Vec2d* pts = distorted0.ptr<cv::Vec2d>();
 
-    cv::Vec2d c(FishEye::K(0, 2), FishEye::K(1, 2));
+    cv::Vec2d c(this->K(0, 2), this->K(1, 2));
     for(int y = 0, k = 0; y < N; ++y)
         for(int x = 0; x < N; ++x)
         {
@@ -141,29 +52,27 @@ TEST(FisheyeTest, projectPoints)
             pts[k++] = (point - c) * 0.85 + c;
         }
 
-    cv::Fisheye::undistortPoints(distorted0, undist1, FishEye::K, FishEye::D);
+    cv::Fisheye::undistortPoints(distorted0, undist1, this->K, this->D);
 
     cv::Vec2d* u1 = undist1.ptr<cv::Vec2d>();
     cv::Vec3d* u2 = undist2.ptr<cv::Vec3d>();
     for(int i = 0; i  < (int)distorted0.total(); ++i)
         u2[i] = cv::Vec3d(u1[i][0], u1[i][1], 1.0);
 
-    cv::Fisheye::distortPoints(undist1, distorted1, FishEye::K, FishEye::D);
-    cv::Fisheye::projectPoints(undist2, distorted2, cv::Vec3d::all(0), cv::Vec3d::all(0), FishEye::K, FishEye::D);
+    cv::Fisheye::distortPoints(undist1, distorted1, this->K, this->D);
+    cv::Fisheye::projectPoints(undist2, distorted2, cv::Vec3d::all(0), cv::Vec3d::all(0), this->K, this->D);
 
-    EXPECT_MAT_NEAR(distorted0, distorted1, 1e-5);
-    EXPECT_MAT_NEAR(distorted0, distorted2, 1e-5);
+    EXPECT_MAT_NEAR(distorted0, distorted1, 1e-10);
+    EXPECT_MAT_NEAR(distorted0, distorted2, 1e-10);
 }
 
-TEST(FisheyeTest, undistortImage)
+TEST_F(FisheyeTest, undistortImage)
 {
-    cv::Matx33d K = FishEye::K;
-    cv::Mat D = cv::Mat(FishEye::D);
+    cv::Matx33d K = this->K;
+    cv::Mat D = cv::Mat(this->D);
     std::string file = combine(datasets_repository_path, "image000001.png");
-
     cv::Matx33d newK = K;
     cv::Mat distorted = cv::imread(file), undistorted;
-
     {
         newK(0, 0) = 100;
         newK(1, 1) = 100;
@@ -172,7 +81,7 @@ TEST(FisheyeTest, undistortImage)
         if (correct.empty())
             CV_Assert(cv::imwrite(combine(datasets_repository_path, "test_undistortImage/new_f_100.png"), undistorted));
         else
-            EXPECT_MAT_NEAR(correct, undistorted, 1e-15);
+            EXPECT_MAT_NEAR(correct, undistorted, 1e-10);
     }
     {
         double balance = 1.0;
@@ -182,7 +91,7 @@ TEST(FisheyeTest, undistortImage)
         if (correct.empty())
             CV_Assert(cv::imwrite(combine(datasets_repository_path, "test_undistortImage/balance_1.0.png"), undistorted));
         else
-            EXPECT_MAT_NEAR(correct, undistorted, 1e-15);
+            EXPECT_MAT_NEAR(correct, undistorted, 1e-10);
     }
 
     {
@@ -193,13 +102,13 @@ TEST(FisheyeTest, undistortImage)
         if (correct.empty())
             CV_Assert(cv::imwrite(combine(datasets_repository_path, "test_undistortImage/balance_0.0.png"), undistorted));
         else
-            EXPECT_MAT_NEAR(correct, undistorted, 1e-15);
+            EXPECT_MAT_NEAR(correct, undistorted, 1e-10);
     }
 
     cv::waitKey();
 }
 
-TEST(FisheyeTest, jacobians)
+TEST_F(FisheyeTest, jacobians)
 {
     int n = 10;
     cv::Mat X(1, n, CV_64FC3);
@@ -245,7 +154,7 @@ TEST(FisheyeTest, jacobians)
     cv::Mat T2 = T + dT;
     cv::Fisheye::projectPoints(X, x2, om, T2, K, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(11,14) * dT).reshape(2, 1);
-    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
     //test on om:
     cv::Mat dom(3, 1, CV_64FC1);
@@ -254,7 +163,7 @@ TEST(FisheyeTest, jacobians)
     cv::Mat om2 = om + dom;
     cv::Fisheye::projectPoints(X, x2, om2, T, K, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(8,11) * dom).reshape(2, 1);
-    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
     //test on f:
     cv::Mat df(2, 1, CV_64FC1);
@@ -263,7 +172,7 @@ TEST(FisheyeTest, jacobians)
     cv::Matx33d K2 = K + cv::Matx33d(df.at<double>(0), df.at<double>(0) * alpha, 0, 0, df.at<double>(1), 0, 0, 0, 0);
     cv::Fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(0,2) * df).reshape(2, 1);
-    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
     //test on c:
     cv::Mat dc(2, 1, CV_64FC1);
@@ -272,7 +181,7 @@ TEST(FisheyeTest, jacobians)
     K2 = K + cv::Matx33d(0, 0, dc.at<double>(0), 0, 0, dc.at<double>(1), 0, 0, 0);
     cv::Fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(2,4) * dc).reshape(2, 1);
-    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
     //test on k:
     cv::Mat dk(4, 1, CV_64FC1);
@@ -281,7 +190,7 @@ TEST(FisheyeTest, jacobians)
     cv::Mat k2 = k + dk;
     cv::Fisheye::projectPoints(X, x2, om, T, K, k2, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(4,8) * dk).reshape(2, 1);
-    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
     //test on alpha:
     cv::Mat dalpha(1, 1, CV_64FC1);
@@ -291,10 +200,10 @@ TEST(FisheyeTest, jacobians)
     K2 = K + cv::Matx33d(0, f.at<double>(0) * dalpha.at<double>(0), 0, 0, 0, 0, 0, 0, 0);
     cv::Fisheye::projectPoints(X, x2, om, T, K, k, alpha2, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.col(14) * dalpha).reshape(2, 1);
-    CV_Assert (cv::norm(x2 - xpred) < 1e-12);
+    CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 }
 
-TEST(FisheyeTest, Calibration)
+TEST_F(FisheyeTest, Calibration)
 {
     const int n_images = 34;
     const int n_points = 48;
@@ -316,11 +225,11 @@ TEST(FisheyeTest, Calibration)
     cv::Fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
                            cv::noArray(), cv::noArray(), flag, cv::TermCriteria(3, 20, 1e-6));
 
-    EXPECT_MAT_NEAR(K, FishEye::K, 1e-11);
-    EXPECT_MAT_NEAR(D, FishEye::D, 1e-12);
+    EXPECT_MAT_NEAR(K, this->K, 1e-10);
+    EXPECT_MAT_NEAR(D, this->D, 1e-10);
 }
 
-TEST(FisheyeTest, Homography)
+TEST_F(FisheyeTest, Homography)
 {
     const int n_images = 1;
     const int n_points = 48;
@@ -368,10 +277,10 @@ TEST(FisheyeTest, Homography)
     std_err *= sqrt((double)merr.reshape(2).total() / (merr.reshape(2).total() - 1));
 
     cv::Vec2d correct_std_err(0.00516740156010384, 0.00644205331553901);
-    EXPECT_MAT_NEAR(std_err, correct_std_err, 1e-16);
+    EXPECT_MAT_NEAR(std_err, correct_std_err, 1e-12);
 }
 
-TEST(TestFisheye, EtimateUncertainties)
+TEST_F(FisheyeTest, EtimateUncertainties)
 {
     const int n_images = 34;
     const int n_points = 48;
@@ -393,7 +302,7 @@ TEST(TestFisheye, EtimateUncertainties)
     std::vector<cv::Vec3d> tvec;
 
     cv::Fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
-                           cv::noArray(), cv::noArray(), flag, cv::TermCriteria(3, 20, 1e-6));
+                           rvec, tvec, flag, cv::TermCriteria(3, 20, 1e-6));
 
     cv::internal::IntrinsicParams param, errors;
     cv::Vec2d err_std;
@@ -410,24 +319,24 @@ TEST(TestFisheye, EtimateUncertainties)
     cv::internal::EstimateUncertainties(objectPoints, imagePoints, param,  rvec, tvec,
                                         errors, err_std, thresh_cond, check_cond, rms);
 
-    EXPECT_MAT_NEAR(errors.f, cv::Vec2d(1.29837104202046,  1.31565641071524), 1e-14);
-    EXPECT_MAT_NEAR(errors.c, cv::Vec2d(0.890439368129246, 0.816096854937896), 1e-15);
-    EXPECT_MAT_NEAR(errors.k, cv::Vec4d(0.00516248605191506, 0.0168181467500934, 0.0213118690274604, 0.00916010877545648), 1e-15);
-    EXPECT_MAT_NEAR(err_std, cv::Vec2d(0.187475975266883, 0.185678953263995), 1e-15);
-    CV_Assert(abs(rms - 0.263782587133546) < 1e-15);
+    EXPECT_MAT_NEAR(errors.f, cv::Vec2d(1.29837104202046,  1.31565641071524), 1e-10);
+    EXPECT_MAT_NEAR(errors.c, cv::Vec2d(0.890439368129246, 0.816096854937896), 1e-10);
+    EXPECT_MAT_NEAR(errors.k, cv::Vec4d(0.00516248605191506, 0.0168181467500934, 0.0213118690274604, 0.00916010877545648), 1e-10);
+    EXPECT_MAT_NEAR(err_std, cv::Vec2d(0.187475975266883, 0.185678953263995), 1e-10);
+    CV_Assert(abs(rms - 0.263782587133546) < 1e-10);
     CV_Assert(errors.alpha == 0);
   }
 
-TEST(FisheyeTest, rectify)
+TEST_F(FisheyeTest, rectify)
 {
     const std::string folder =combine(datasets_repository_path, "calib-3_stereo_from_JY");
 
-    cv::Size calibration_size = FishEye::imageSize, requested_size = calibration_size;
-    cv::Matx33d K1 = FishEye::K, K2 = K1;
-    cv::Mat D1 = cv::Mat(FishEye::D), D2 = D1;
+    cv::Size calibration_size = this->imageSize, requested_size = calibration_size;
+    cv::Matx33d K1 = this->K, K2 = K1;
+    cv::Mat D1 = cv::Mat(this->D), D2 = D1;
 
-    cv::Vec3d T = FishEye::T;
-    cv::Matx33d R = FishEye::R;
+    cv::Vec3d T = this->T;
+    cv::Matx33d R = this->R;
 
     double balance = 0.0, fov_scale = 1.1;
     cv::Mat R1, R2, P1, P2, Q;
@@ -462,11 +371,119 @@ TEST(FisheyeTest, rectify)
         if (correct.empty())
             cv::imwrite(combine_format(folder, "test_rectify/rectification_AB_%03d.png", i), rectification);
         else
-            EXPECT_MAT_NEAR(correct, rectification, 1e-15);
+            EXPECT_MAT_NEAR(correct, rectification, 1e-10);
     }
 }
 
 
+////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
+///  FisheyeTest::
+
+const cv::Size FisheyeTest::imageSize(1280, 800);
+
+const cv::Matx33d FisheyeTest::K(558.478087865323,               0, 620.458515360843,
+                              0, 560.506767351568, 381.939424848348,
+                              0,               0,                1);
+
+const cv::Vec4d FisheyeTest::D(-0.0014613319981768, -0.00329861110580401, 0.00605760088590183, -0.00374209380722371);
+
+const cv::Matx33d FisheyeTest::R ( 9.9756700084424932e-01, 6.9698277640183867e-02, 1.4929569991321144e-03,
+                            -6.9711825162322980e-02, 9.9748249845531767e-01, 1.2997180766418455e-02,
+                            -5.8331736398316541e-04,-1.3069635393884985e-02, 9.9991441852366736e-01);
+
+const cv::Vec3d FisheyeTest::T(-9.9217369356044638e-02, 3.1741831972356663e-03, 1.8551007952921010e-04);
+
+
+std::string FisheyeTest::combine(const std::string& _item1, const std::string& _item2)
+{
+    std::string item1 = _item1, item2 = _item2;
+    std::replace(item1.begin(), item1.end(), '\\', '/');
+    std::replace(item2.begin(), item2.end(), '\\', '/');
+
+    if (item1.empty())
+        return item2;
 
+    if (item2.empty())
+        return item1;
 
+    char last = item1[item1.size()-1];
+    return item1 + (last != '/' ? "/" : "") + item2;
+}
 
+std::string FisheyeTest::combine_format(const std::string& item1, const std::string& item2, ...)
+{
+    std::string fmt = combine(item1, item2);
+    char buffer[1 << 16];
+    va_list args;
+    va_start( args, item2 );
+    vsprintf( buffer, fmt.c_str(), args );
+    va_end( args );
+    return std::string(buffer);
+}
+
+void FisheyeTest::readPoins(std::vector<std::vector<cv::Point3d> >& objectPoints,
+               std::vector<std::vector<cv::Point2d> >& imagePoints,
+               const std::string& path, const int n_images, const int n_points)
+{
+    objectPoints.resize(n_images);
+    imagePoints.resize(n_images);
+
+    std::vector<cv::Point2d> image(n_points);
+    std::vector<cv::Point3d> object(n_points);
+
+    std::ifstream ipStream;
+    std::ifstream opStream;
+
+    for (int image_idx = 0; image_idx < n_images; image_idx++)
+    {
+        std::stringstream ss;
+        ss << image_idx;
+        std::string idxStr = ss.str();
+
+        ipStream.open(combine(path, std::string(std::string("x_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
+        opStream.open(combine(path, std::string(std::string("X_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
+        CV_Assert(ipStream.is_open() && opStream.is_open());
+
+        for (int point_idx = 0; point_idx < n_points; point_idx++)
+        {
+            double x, y, z;
+            char delim;
+            ipStream >> x >> delim >> y;
+            image[point_idx] = cv::Point2d(x, y);
+            opStream >> x >> delim >> y >> delim >> z;
+            object[point_idx] = cv::Point3d(x, y, z);
+        }
+        ipStream.close();
+        opStream.close();
+
+        imagePoints[image_idx] = image;
+        objectPoints[image_idx] = object;
+    }
+}
+
+void FisheyeTest::readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,
+                    cv::OutputArray _P1, cv::OutputArray _P2, cv::OutputArray _Q)
+{
+    cv::FileStorage fs(file, cv::FileStorage::READ);
+    CV_Assert(fs.isOpened());
+
+    cv::Mat R, T, R1, R2, P1, P2, Q;
+    fs["R"] >> R;   fs["T"] >> T;   fs["R1"] >> R1;   fs["R2"] >> R2;   fs["P1"] >> P1;   fs["P2"] >> P2;   fs["Q"] >> Q;
+    if (_R.needed()) R.copyTo(_R); if(_T.needed()) T.copyTo(_T); if (_R1.needed()) R1.copyTo(_R1); if (_R2.needed()) R2.copyTo(_R2);
+    if(_P1.needed()) P1.copyTo(_P1); if(_P2.needed()) P2.copyTo(_P2); if(_Q.needed()) Q.copyTo(_Q);
+}
+
+cv::Mat FisheyeTest::mergeRectification(const cv::Mat& l, const cv::Mat& r)
+{
+    CV_Assert(l.type() == r.type() && l.size() == r.size());
+    cv::Mat merged(l.rows, l.cols * 2, l.type());
+    cv::Mat lpart = merged.colRange(0, l.cols);
+    cv::Mat rpart = merged.colRange(l.cols, merged.cols);
+    l.copyTo(lpart);
+    r.copyTo(rpart);
+
+    for(int i = 0; i < l.rows; i+=20)
+        cv::line(merged, cv::Point(0, i), cv::Point(merged.cols, i), CV_RGB(0, 255, 0));
+
+    return merged;
+}

From f0f741b796a8c1eaa9217e51d354a31e40b9107a Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Mon, 28 Apr 2014 15:27:30 +0400
Subject: [PATCH 06/92] Added documentation

---
 ...mera_calibration_and_3d_reconstruction.rst | 309 ++++++++++++++++++
 .../include/opencv2/calib3d/calib3d.hpp       |   2 +-
 2 files changed, 310 insertions(+), 1 deletion(-)

diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
index 37159b016b..3d19b72895 100644
--- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
+++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
@@ -1487,6 +1487,315 @@ The function reconstructs 3-dimensional points (in homogeneous coordinates) by u
 
     :ocv:func:`reprojectImageTo3D`
 
+Fisheye
+----------
+
+.. ocv:class:: Fisheye
+
+The methods in this class use a so-called fisheye camera model. ::
+
+    class Fisheye
+    {
+    public:
+
+        //! projects 3D points using fisheye model
+        static void projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
+            InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray());
+
+        //! projects points using fisheye model
+        static void projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec,
+            InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray());
+
+        //! distorts 2D points using fisheye model
+        static void distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0);
+
+        //! undistorts 2D points using fisheye model
+        static void undistortPoints(InputArray distorted, OutputArray undistorted,
+            InputArray K, InputArray D, InputArray R = noArray(), InputArray P  = noArray());
+
+        //! computing undistortion and rectification maps for image transform by cv::remap()
+        //! If D is empty zero distortion is used, if R or P is empty identity matrixes are used
+        static void initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
+            const cv::Size& size, int m1type, OutputArray map1, OutputArray map2);
+
+        //! undistorts image, optionally changes resolution and camera matrix. If Knew zero identity matrix is used
+        static void undistortImage(InputArray distorted, OutputArray undistorted,
+            InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size());
+
+        //! estimates new camera matrix for undistortion or rectification
+        static void estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
+            OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0);
+
+        //! stereo rectification for fisheye camera model
+        static void stereoRectify( InputArray K1, InputArray D1, InputArray K2, InputArray D2, const cv::Size& imageSize,
+            InputArray rotaion, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q,
+                int flags = cv::CALIB_ZERO_DISPARITY, double alpha = -1, const Size& newImageSize = Size(), Rect* roi1 = 0, Rect* roi2 = 0 );
+
+        //! performs camera calibaration
+        static double calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
+            InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,
+                TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON));
+
+        //! stereo rectification estimation
+        static void stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
+            OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(),
+            double balance = 0.0, double fov_scale = 1.0);
+
+        ...
+    };
+
+
+Definitions:
+Let P be a point in 3D of coordinates X in the world reference frame (stored in the matrix X)
+The coordinate vector of P in the camera reference frame is: 
+
+.. class:: center
+.. math::
+
+    Xc = R X + T
+
+where R is the rotation matrix corresponding to the rotation vector om: R = rodrigues(om);
+call x, y and z the 3 coordinates of Xc:
+
+.. class:: center
+.. math::
+    x = Xc_1 \\
+    y = Xc_2 \\
+    z = Xc_3 
+
+The pinehole projection coordinates of P is [a; b] where 
+
+.. class:: center
+.. math::
+  
+    a = x / z \ and \ b = y / z \\
+    r^2 = a^2 + b^2 \\
+    \theta = atan(r)
+
+Fisheye distortion:
+
+.. class:: center
+.. math:: 
+    
+    \theta_d = \theta (1 + k_1 \theta^2 + k_2 \theta^4 + k_3 \theta^6 + k_4 \theta^8)
+
+The distorted point coordinates are [x'; y'] where
+
+.. class:: center
+.. math:: 
+    
+    x' = (\theta_d / r) x \\
+    y' = (\theta_d / r) y
+
+Finally, convertion into pixel coordinates: The final pixel coordinates vector [u; v] where:
+
+.. class:: center
+.. math:: 
+
+    u = f_x (x' + \alpha y') + c_x \\
+    v = f_y yy + c_y
+
+Fisheye::projectPoints
+---------------------------
+Projects points using fisheye model
+
+.. ocv:function:: void Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine, InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray())
+
+.. ocv:function:: void Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec,
+            InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray())
+
+    :param objectPoints: Array of object points, 1xN/Nx1 3-channel  (or  ``vector<Point3f>`` ), where N is the number of points in the view.
+
+    :param rvec: Rotation vector. See  :ocv:func:`Rodrigues` for details.
+
+    :param tvec: Translation vector.
+
+    :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}` .
+
+    :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
+
+    :param alpha: The skew coefficient.
+
+    :param imagePoints: Output array of image points, 2xN/Nx2 1-channel or 1xN/Nx1 2-channel, or  ``vector<Point2f>`` .
+
+    :param jacobian: Optional output 2Nx15 jacobian matrix of derivatives of image points with respect to components of the focal lengths, coordinates of the principal point, distortion coefficients, rotation vector, translation vector, and the skew. In the old interface different components of the jacobian are returned via different output parameters.
+
+The function computes projections of 3D
+points to the image plane given intrinsic and extrinsic camera
+parameters. Optionally, the function computes Jacobians - matrices
+of partial derivatives of image points coordinates (as functions of all the
+input parameters) with respect to the particular parameters, intrinsic and/or
+extrinsic.
+
+Fisheye::distortPoints
+-------------------------
+Distorts 2D points using fisheye model.
+
+.. ocv:function:: void Fisheye::distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0)
+   
+    :param undistorted: Array of object points, 1xN/Nx1 2-channel  (or  ``vector<Point2f>`` ), where N is the number of points in the view.
+
+    :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
+
+    :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
+
+    :param alpha: The skew coefficient.
+
+    :param distorted: Output array of image points, 1xN/Nx1 2-channel, or  ``vector<Point2f>`` .
+
+Fisheye::undistortPoints
+-----------------------------
+Undistorts 2D points using fisheye model
+
+.. ocv:function:: void Fisheye::undistortPoints(InputArray distorted, OutputArray undistorted,
+        InputArray K, InputArray D, InputArray R = noArray(), InputArray P  = noArray())
+
+    :param distorted: Array of object points, 1xN/Nx1 2-channel  (or  ``vector<Point2f>`` ), where N is the number of points in the view.
+
+    :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
+
+    :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
+
+    :param R: Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3 1-channel or 1x1 3-channel 
+
+    :param P: New camera matrix (3x3) or new projection matrix (3x4)
+
+    :param undistorted: Output array of image points, 1xN/Nx1 2-channel, or  ``vector<Point2f>`` .
+
+
+Fisheye::initUndistortRectifyMap
+-------------------------------------
+Computes undistortion and rectification maps for image transform by cv::remap(). If D is empty zero distortion is used, if R or P is empty identity matrixes are used.
+
+.. ocv:function:: void Fisheye::initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
+        const cv::Size& size, int m1type, OutputArray map1, OutputArray map2)
+
+    :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
+
+    :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
+
+    :param R: Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3 1-channel or 1x1 3-channel 
+
+    :param P: New camera matrix (3x3) or new projection matrix (3x4)
+
+    :param size: Undistorted image size.
+
+    :param m1type: Type of the first output map that can be CV_32FC1 or CV_16SC2 . See convertMaps() for details.
+
+    :param map1: The first output map.
+
+    :param map2: The second output map.
+
+
+Fisheye::estimateNewCameraMatrixForUndistortRectify
+----------------------------------------------------------
+Estimates new camera matrix for undistortion or rectification.
+
+.. ocv:function:: void Fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
+        OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0);
+
+    :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
+
+    :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
+
+    :param R: Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3 1-channel or 1x1 3-channel 
+
+    :param P: New camera matrix (3x3) or new projection matrix (3x4)
+
+    :param new_size: New size
+
+    :param balance: Balance.
+
+    :param fov_scale: Field of View scale.
+
+Fisheye::stereoRectify
+------------------------------
+Stereo rectification for fisheye camera model
+
+.. ocv:function:: void Fisheye::stereoRectify( InputArray K1, InputArray D1, InputArray K2, InputArray D2, const cv::Size& imageSize,
+        InputArray rotaion, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q,
+            int flags = cv::CALIB_ZERO_DISPARITY, double alpha = -1, const Size& newImageSize = Size(), Rect* roi1 = 0, Rect* roi2 = 0 )
+
+.. ocv:function:: void Fisheye::stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
+        OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(),
+        double balance = 0.0, double fov_scale = 1.0)
+
+    :param K1: First camera matrix.
+
+    :param K2: Second camera matrix.
+
+    :param D1: First camera distortion parameters.
+
+    :param D2: Second camera distortion parameters.
+
+    :param imageSize: Size of the image used for stereo calibration.
+
+    :param rotation: Rotation matrix between the coordinate systems of the first and the second cameras.
+
+    :param tvec: Translation vector between coordinate systems of the cameras.
+
+    :param R1: Output  3x3 rectification transform (rotation matrix) for the first camera.
+
+    :param R2: Output  3x3 rectification transform (rotation matrix) for the second camera.
+
+    :param P1: Output  3x4 projection matrix in the new (rectified) coordinate systems for the first camera.
+
+    :param P2: Output  3x4 projection matrix in the new (rectified) coordinate systems for the second camera.
+
+    :param Q: Output  :math:`4 \times 4`  disparity-to-depth mapping matrix (see  :ocv:func:`reprojectImageTo3D` ).
+
+    :param flags: Operation flags that may be zero or  ``CV_CALIB_ZERO_DISPARITY`` . If the flag is set, the function makes the principal points of each camera have the same pixel coordinates in the rectified views. And if the flag is not set, the function may still shift the images in the horizontal or vertical direction (depending on the orientation of epipolar lines) to maximize the useful image area.
+
+    :param alpha: Free scaling parameter. If it is -1  or absent, the function performs the default scaling. Otherwise, the parameter should be between 0 and 1.  ``alpha=0``  means that the rectified images are zoomed and shifted so that only valid pixels are visible (no black areas after rectification).  ``alpha=1``  means that the rectified image is decimated and shifted so that all the pixels from the original images from the cameras are retained in the rectified images (no source image pixels are lost). Obviously, any intermediate value yields an intermediate result between those two extreme cases.
+
+    :param newImageSize: New image resolution after rectification. The same size should be passed to  :ocv:func:`initUndistortRectifyMap` (see the  ``stereo_calib.cpp``  sample in OpenCV samples directory). When (0,0) is passed (default), it is set to the original  ``imageSize`` . Setting it to larger value can help you preserve details in the original image, especially when there is a big radial distortion.
+
+    :param roi1: Optional output rectangles inside the rectified images where all the pixels are valid. If  ``alpha=0`` , the ROIs cover the whole images. Otherwise, they are likely to be smaller (see the picture below).
+
+    :param roi2: Optional output rectangles inside the rectified images where all the pixels are valid. If  ``alpha=0`` , the ROIs cover the whole images. Otherwise, they are likely to be smaller (see the picture below).
+
+    :param balance: Balance.
+
+    :param fov_scale: Field of View scale.
+
+
+
+Fisheye::calibrate
+----------------------------
+Performs camera calibaration
+
+.. ocv:function:: double Fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
+        InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,
+            TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
+
+    :param objectPoints: vector of vectors of calibration pattern points in the calibration pattern coordinate space. The outer vector contains as many elements as the number of the pattern views. If the same calibration pattern is shown in each view and it is fully visible, all the vectors will be the same. Although, it is possible to use partially occluded patterns, or even different patterns in different views. Then, the vectors will be different. The points are 3D, but since they are in a pattern coordinate system, then, if the rig is planar, it may make sense to put the model to a XY coordinate plane so that Z-coordinate of each input object point is 0.
+
+    :param imagePoints: vector of vectors of the projections of calibration pattern points. ``imagePoints.size()`` and ``objectPoints.size()`` and ``imagePoints[i].size()`` must be equal to ``objectPoints[i].size()`` for each ``i``.
+
+    :param image_size: Size of the image used only to initialize the intrinsic camera matrix.
+
+    :param K: Output 3x3 floating-point camera matrix  :math:`A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}` . If  ``Fisheye::CALIB_USE_INTRINSIC_GUESS``/ is specified, some or all of  ``fx, fy, cx, cy``  must be initialized before calling the function.
+
+    :param D: Output vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
+
+    :param rvecs: Output  vector  of rotation vectors (see  :ocv:func:`Rodrigues` ) estimated for each pattern view. That is, each k-th rotation vector together with the corresponding k-th translation vector (see the next output parameter description) brings the calibration pattern from the model coordinate space (in which object points are specified) to the world coordinate space, that is, a real position of the calibration pattern in the k-th pattern view (k=0.. *M* -1).
+
+    :param tvecs: Output vector of translation vectors estimated for each pattern view.
+
+    :param flags: Different flags that may be zero or a combination of the following values:
+
+        * **Fisheye::CALIB_USE_INTRINSIC_GUESS** ``cameraMatrix``  contains valid initial values of  ``fx, fy, cx, cy``  that are optimized further. Otherwise, ``(cx, cy)``  is initially set to the image center ( ``imageSize``  is used), and focal distances are computed in a least-squares fashion.
+
+        * **Fisheye::CALIB_RECOMPUTE_EXTRINSIC** Extrinsic will be recomputed after each iteration of intrinsic optimization.
+
+        * **Fisheye::CALIB_CHECK_COND** The functions will check validity of condition number.
+
+        * **Fisheye::CALIB_FIX_SKEW** Skew coefficient (alpha) is set to zero and stay zero.
+
+        * **Fisheye::CALIB_FIX_K1..4** Selected distortion coefficients are set to zeros and stay zero.
+
+    :param criteria: Termination criteria for the iterative optimization algorithm.
+
 
 .. [BT98] Birchfield, S. and Tomasi, C. A pixel dissimilarity measure that is insensitive to image sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1998.
 
diff --git a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
index 2675ad402a..816ed76f70 100644
--- a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
@@ -802,7 +802,7 @@ public:
     static void initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
         const cv::Size& size, int m1type, OutputArray map1, OutputArray map2);
 
-    //! undistorts image, optinally chanes resolution and camera matrix. If Knew zero identity matrix is used
+    //! undistorts image, optionally changes resolution and camera matrix. If Knew zero identity matrix is used
     static void undistortImage(InputArray distorted, OutputArray undistorted,
         InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size());
 

From e6aa8ce93264401b2c0ad68ced33bf024849435d Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Tue, 29 Apr 2014 10:24:39 +0400
Subject: [PATCH 07/92] Corrected notes

---
 ...mera_calibration_and_3d_reconstruction.rst |  6 --
 .../include/opencv2/calib3d/calib3d.hpp       | 68 ------------------
 modules/calib3d/src/fisheye.cpp               |  7 +-
 modules/calib3d/src/fisheye.hpp               | 48 +++++++++++++
 modules/calib3d/test/test_fisheye.cpp         | 69 ++++++-------------
 5 files changed, 74 insertions(+), 124 deletions(-)
 create mode 100644 modules/calib3d/src/fisheye.hpp

diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
index 3d19b72895..710672cf52 100644
--- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
+++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
@@ -1702,12 +1702,6 @@ Estimates new camera matrix for undistortion or rectification.
 
     :param P: New camera matrix (3x3) or new projection matrix (3x4)
 
-    :param new_size: New size
-
-    :param balance: Balance.
-
-    :param fov_scale: Field of View scale.
-
 Fisheye::stereoRectify
 ------------------------------
 Stereo rectification for fisheye camera model
diff --git a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
index 816ed76f70..8caebd363c 100644
--- a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
@@ -745,32 +745,10 @@ CV_EXPORTS_W  int estimateAffine3D(InputArray src, InputArray dst,
                                    OutputArray out, OutputArray inliers,
                                    double ransacThreshold=3, double confidence=0.99);
 
-
 class Fisheye
 {
 public:
 
-    //Definitions:
-    //  Let P be a point in 3D of coordinates X in the world reference frame (stored in the matrix X)
-    //  The coordinate vector of P in the camera reference frame is: Xc = R*X + T
-    //  where R is the rotation matrix corresponding to the rotation vector om: R = rodrigues(om);
-    //  call x, y and z the 3 coordinates of Xc: x = Xc(1); y = Xc(2); z = Xc(3);
-    //  The pinehole projection coordinates of P is [a;b] where a=x/z and b=y/z.
-    //    call r^2 = a^2 + b^2,
-    //    call theta = atan(r),
-    //
-    //  Fisheye distortion -> theta_d = theta * (1 + k(1)*theta^2 + k(2)*theta^4 + k(3)*theta^6 + k(4)*theta^8)
-    //
-    //  The distorted point coordinates are: xd = [xx;yy] where:
-    //
-    //    xx = (theta_d / r) * x
-    //    yy = (theta_d / r) * y
-    //
-    //  Finally, convertion into pixel coordinates: The final pixel coordinates vector xp=[xxp;yyp] where:
-    //
-    //    xxp = f(1)*(xx + alpha*yy) + c(1)
-    //    yyp = f(2)*yy + c(2)
-
     enum{
         CALIB_USE_INTRINSIC_GUESS   = 1,
         CALIB_RECOMPUTE_EXTRINSIC   = 2,
@@ -826,53 +804,7 @@ public:
         double balance = 0.0, double fov_scale = 1.0);
 };
 
-
-
-namespace internal {
-
-struct IntrinsicParams
-{
-    Vec2d f;
-    Vec2d c;
-    Vec4d k;
-    double alpha;
-    std::vector<int> isEstimate;
-
-    IntrinsicParams();
-    IntrinsicParams(Vec2d f, Vec2d c, Vec4d k, double alpha = 0);
-    IntrinsicParams operator+(const Mat& a);
-    IntrinsicParams& operator =(const Mat& a);
-    void Init(const cv::Vec2d& f, const cv::Vec2d& c, const cv::Vec4d& k = Vec4d(0,0,0,0), const double& alpha = 0);
-};
-
-void projectPoints(cv::InputArray objectPoints, cv::OutputArray imagePoints,
-                   cv::InputArray _rvec,cv::InputArray _tvec,
-                   const IntrinsicParams& param, cv::OutputArray jacobian);
-
-void ComputeExtrinsicRefine(const Mat& imagePoints, const Mat& objectPoints, Mat& rvec,
-                            Mat&  tvec, Mat& J, const int MaxIter,
-                            const IntrinsicParams& param, const double thresh_cond);
-Mat ComputeHomography(Mat m, Mat M);
-
-Mat NormalizePixels(const Mat& imagePoints, const IntrinsicParams& param);
-
-void InitExtrinsics(const Mat& _imagePoints, const Mat& _objectPoints, const IntrinsicParams& param, Mat& omckk, Mat& Tckk);
-
-void CalibrateExtrinsics(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
-                         const IntrinsicParams& param, const int check_cond,
-                         const double thresh_cond, InputOutputArray omc, InputOutputArray Tc);
-
-void ComputeJacobians(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
-                      const IntrinsicParams& param,  InputArray omc, InputArray Tc,
-                      const int& check_cond, const double& thresh_cond, Mat& JJ2_inv, Mat& ex3);
-
-void EstimateUncertainties(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
-                           const IntrinsicParams& params, InputArray omc, InputArray Tc,
-                           IntrinsicParams& errors, Vec2d& std_err, double thresh_cond, int check_cond, double& rms);
-
-}
 }
 
 #endif
-
 #endif
diff --git a/modules/calib3d/src/fisheye.cpp b/modules/calib3d/src/fisheye.cpp
index 0dcc5e70fd..a9172c9b26 100644
--- a/modules/calib3d/src/fisheye.cpp
+++ b/modules/calib3d/src/fisheye.cpp
@@ -1,9 +1,7 @@
 #include "opencv2/opencv.hpp"
 #include "opencv2/core/affine.hpp"
 #include "opencv2/core/affine.hpp"
-
-//////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::projectPoints
+#include "fisheye.hpp"
 
 namespace cv { namespace
 {
@@ -16,6 +14,9 @@ namespace cv { namespace
     };
 }}
 
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::projectPoints
+
 void cv::Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
     InputArray K, InputArray D, double alpha, OutputArray jacobian)
 {
diff --git a/modules/calib3d/src/fisheye.hpp b/modules/calib3d/src/fisheye.hpp
new file mode 100644
index 0000000000..e000e635a0
--- /dev/null
+++ b/modules/calib3d/src/fisheye.hpp
@@ -0,0 +1,48 @@
+#ifndef FISHEYE_INTERNAL_H
+#define FISHEYE_INTERNAL_H
+
+namespace cv { namespace internal {
+
+struct IntrinsicParams
+{
+    Vec2d f;
+    Vec2d c;
+    Vec4d k;
+    double alpha;
+    std::vector<int> isEstimate;
+
+    IntrinsicParams();
+    IntrinsicParams(Vec2d f, Vec2d c, Vec4d k, double alpha = 0);
+    IntrinsicParams operator+(const Mat& a);
+    IntrinsicParams& operator =(const Mat& a);
+    void Init(const cv::Vec2d& f, const cv::Vec2d& c, const cv::Vec4d& k = Vec4d(0,0,0,0), const double& alpha = 0);
+};
+
+void projectPoints(cv::InputArray objectPoints, cv::OutputArray imagePoints,
+                   cv::InputArray _rvec,cv::InputArray _tvec,
+                   const IntrinsicParams& param, cv::OutputArray jacobian);
+
+void ComputeExtrinsicRefine(const Mat& imagePoints, const Mat& objectPoints, Mat& rvec,
+                            Mat&  tvec, Mat& J, const int MaxIter,
+                            const IntrinsicParams& param, const double thresh_cond);
+Mat ComputeHomography(Mat m, Mat M);
+
+Mat NormalizePixels(const Mat& imagePoints, const IntrinsicParams& param);
+
+void InitExtrinsics(const Mat& _imagePoints, const Mat& _objectPoints, const IntrinsicParams& param, Mat& omckk, Mat& Tckk);
+
+void CalibrateExtrinsics(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+                         const IntrinsicParams& param, const int check_cond,
+                         const double thresh_cond, InputOutputArray omc, InputOutputArray Tc);
+
+void ComputeJacobians(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+                      const IntrinsicParams& param,  InputArray omc, InputArray Tc,
+                      const int& check_cond, const double& thresh_cond, Mat& JJ2_inv, Mat& ex3);
+
+void EstimateUncertainties(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+                           const IntrinsicParams& params, InputArray omc, InputArray Tc,
+                           IntrinsicParams& errors, Vec2d& std_err, double thresh_cond, int check_cond, double& rms);
+
+}}
+
+#endif
diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index e7d4b311c7..41bbfea59d 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -1,6 +1,7 @@
 #include "test_precomp.hpp"
-#include<fstream>
+#include <fstream>
 #include <opencv2/ts/gpu_test.hpp>
+#include "../src/fisheye.hpp"
 
 class FisheyeTest : public ::testing::Test {
 
@@ -21,9 +22,9 @@ protected:
 
     std::string combine_format(const std::string& item1, const std::string& item2, ...);
 
-    void readPoins(std::vector<std::vector<cv::Point3d> >& objectPoints,
+    void readPoints(std::vector<std::vector<cv::Point3d> >& objectPoints,
                    std::vector<std::vector<cv::Point2d> >& imagePoints,
-                   const std::string& path, const int n_images, const int n_points);
+                   const std::string& path, const int n_images);
 
     void readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,
                         cv::OutputArray _P1, cv::OutputArray _P2, cv::OutputArray _Q);
@@ -104,8 +105,6 @@ TEST_F(FisheyeTest, undistortImage)
         else
             EXPECT_MAT_NEAR(correct, undistorted, 1e-10);
     }
-
-    cv::waitKey();
 }
 
 TEST_F(FisheyeTest, jacobians)
@@ -206,13 +205,11 @@ TEST_F(FisheyeTest, jacobians)
 TEST_F(FisheyeTest, Calibration)
 {
     const int n_images = 34;
-    const int n_points = 48;
 
-    cv::Size imageSize = cv::Size(1280, 800);
     std::vector<std::vector<cv::Point2d> > imagePoints;
     std::vector<std::vector<cv::Point3d> > objectPoints;
 
-    readPoins(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images, n_points);
+    readPoints(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images);
 
     int flag = 0;
     flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
@@ -232,13 +229,11 @@ TEST_F(FisheyeTest, Calibration)
 TEST_F(FisheyeTest, Homography)
 {
     const int n_images = 1;
-    const int n_points = 48;
 
-    cv::Size imageSize = cv::Size(1280, 800);
     std::vector<std::vector<cv::Point2d> > imagePoints;
     std::vector<std::vector<cv::Point3d> > objectPoints;
 
-    readPoins(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images, n_points);
+    readPoints(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images);
     cv::internal::IntrinsicParams param;
     param.Init(cv::Vec2d(cv::max(imageSize.width, imageSize.height) / CV_PI, cv::max(imageSize.width, imageSize.height) / CV_PI),
                cv::Vec2d(imageSize.width  / 2.0 - 0.5, imageSize.height / 2.0 - 0.5));
@@ -283,13 +278,11 @@ TEST_F(FisheyeTest, Homography)
 TEST_F(FisheyeTest, EtimateUncertainties)
 {
     const int n_images = 34;
-    const int n_points = 48;
 
-    cv::Size imageSize = cv::Size(1280, 800);
     std::vector<std::vector<cv::Point2d> > imagePoints;
     std::vector<std::vector<cv::Point3d> > objectPoints;
 
-    readPoins(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images, n_points);
+    readPoints(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images);
 
     int flag = 0;
     flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
@@ -325,7 +318,7 @@ TEST_F(FisheyeTest, EtimateUncertainties)
     EXPECT_MAT_NEAR(err_std, cv::Vec2d(0.187475975266883, 0.185678953263995), 1e-10);
     CV_Assert(abs(rms - 0.263782587133546) < 1e-10);
     CV_Assert(errors.alpha == 0);
-  }
+}
 
 TEST_F(FisheyeTest, rectify)
 {
@@ -375,7 +368,6 @@ TEST_F(FisheyeTest, rectify)
     }
 }
 
-
 ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
 ///  FisheyeTest::
 
@@ -393,7 +385,6 @@ const cv::Matx33d FisheyeTest::R ( 9.9756700084424932e-01, 6.9698277640183867e-0
 
 const cv::Vec3d FisheyeTest::T(-9.9217369356044638e-02, 3.1741831972356663e-03, 1.8551007952921010e-04);
 
-
 std::string FisheyeTest::combine(const std::string& _item1, const std::string& _item2)
 {
     std::string item1 = _item1, item2 = _item2;
@@ -421,44 +412,28 @@ std::string FisheyeTest::combine_format(const std::string& item1, const std::str
     return std::string(buffer);
 }
 
-void FisheyeTest::readPoins(std::vector<std::vector<cv::Point3d> >& objectPoints,
+void FisheyeTest::readPoints(std::vector<std::vector<cv::Point3d> >& objectPoints,
                std::vector<std::vector<cv::Point2d> >& imagePoints,
-               const std::string& path, const int n_images, const int n_points)
+               const std::string& path, const int n_images)
 {
     objectPoints.resize(n_images);
     imagePoints.resize(n_images);
 
-    std::vector<cv::Point2d> image(n_points);
-    std::vector<cv::Point3d> object(n_points);
-
-    std::ifstream ipStream;
-    std::ifstream opStream;
-
-    for (int image_idx = 0; image_idx < n_images; image_idx++)
+    cv::FileStorage fs1(combine(path, "objectPoints.xml"), cv::FileStorage::READ);
+    CV_Assert(fs1.isOpened());
+    for (size_t i = 0; i < objectPoints.size(); ++i)
     {
-        std::stringstream ss;
-        ss << image_idx;
-        std::string idxStr = ss.str();
-
-        ipStream.open(combine(path, std::string(std::string("x_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
-        opStream.open(combine(path, std::string(std::string("X_") + idxStr + std::string(".csv"))).c_str(), std::ifstream::in);
-        CV_Assert(ipStream.is_open() && opStream.is_open());
-
-        for (int point_idx = 0; point_idx < n_points; point_idx++)
-        {
-            double x, y, z;
-            char delim;
-            ipStream >> x >> delim >> y;
-            image[point_idx] = cv::Point2d(x, y);
-            opStream >> x >> delim >> y >> delim >> z;
-            object[point_idx] = cv::Point3d(x, y, z);
-        }
-        ipStream.close();
-        opStream.close();
+        fs1[cv::format("image_%d", i)] >> objectPoints[i];
+    }
+    fs1.release();
 
-        imagePoints[image_idx] = image;
-        objectPoints[image_idx] = object;
+    cv::FileStorage fs2(combine(path, "imagePoints.xml"), cv::FileStorage::READ);
+    CV_Assert(fs2.isOpened());
+    for (size_t i = 0; i < imagePoints.size(); ++i)
+    {
+        fs2[cv::format("image_%d", i)] >> imagePoints[i];
     }
+    fs2.release();
 }
 
 void FisheyeTest::readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,

From c2341fd4464265374ff86829f3e1c8aad0254b50 Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Mon, 5 May 2014 14:21:24 +0400
Subject: [PATCH 08/92] Added stereoCalibrate for Fisheye camera model

---
 .../include/opencv2/calib3d/calib3d.hpp       |  10 +-
 modules/calib3d/src/fisheye.cpp               | 413 ++++++++++++++++++
 modules/calib3d/src/fisheye.hpp               |  12 +
 3 files changed, 434 insertions(+), 1 deletion(-)

diff --git a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
index 8caebd363c..b495fbe2d0 100644
--- a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
@@ -757,7 +757,8 @@ public:
         CALIB_FIX_K1                = 16,
         CALIB_FIX_K2                = 32,
         CALIB_FIX_K3                = 64,
-        CALIB_FIX_K4                = 128
+        CALIB_FIX_K4                = 128,
+        CALIB_FIX_INTRINSIC         = 256
     };
 
     //! projects 3D points using fisheye model
@@ -802,6 +803,13 @@ public:
     static void stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
         OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(),
         double balance = 0.0, double fov_scale = 1.0);
+
+    //! performs stereo calibaration
+    static double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
+                                  InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2,
+                                  InputOutputArrayOfArrays rvecs1, InputOutputArrayOfArrays tvecs1,
+                                  InputOutputArrayOfArrays rvecs2, InputOutputArrayOfArrays tvecs2,
+                                  TermCriteria criteria = TermCriteria(3, 100, 1e-10));
 };
 
 }
diff --git a/modules/calib3d/src/fisheye.cpp b/modules/calib3d/src/fisheye.cpp
index a9172c9b26..19b30428e9 100644
--- a/modules/calib3d/src/fisheye.cpp
+++ b/modules/calib3d/src/fisheye.cpp
@@ -2,6 +2,7 @@
 #include "opencv2/core/affine.hpp"
 #include "opencv2/core/affine.hpp"
 #include "fisheye.hpp"
+#include "iomanip"
 
 namespace cv { namespace
 {
@@ -12,6 +13,8 @@ namespace cv { namespace
         Vec3d dom, dT;
         double dalpha;
     };
+
+    void subMatrix(const Mat& src, Mat& dst, const vector<int>& cols, const vector<int>& rows);
 }}
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
@@ -757,6 +760,297 @@ double cv::Fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArray
     return rms;
 }
 
+//////////////////////////////////////////////////////////////////////////////////////////////////////////////
+/// cv::Fisheye::stereoCalibrate
+
+double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
+                                    InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2,
+                                    InputOutputArray rvecs1, InputOutputArrayOfArrays tvecs1,
+                                    InputOutputArrayOfArrays rvecs2, InputOutputArrayOfArrays tvecs2,
+                                    TermCriteria criteria)
+{
+    CV_Assert(!objectPoints.empty() && !imagePoints1.empty() && !imagePoints2.empty());
+    CV_Assert(objectPoints.total() == imagePoints1.total() || imagePoints1.total() == imagePoints2.total());
+    CV_Assert(objectPoints.type() == CV_32FC3 || objectPoints.type() == CV_64FC3);
+    CV_Assert(imagePoints1.type() == CV_32FC2 || imagePoints1.type() == CV_64FC2);
+    CV_Assert(imagePoints2.type() == CV_32FC2 || imagePoints2.type() == CV_64FC2);
+
+    CV_Assert((!K1.empty() && K1.size() == Size(3,3)) || K1.empty());
+    CV_Assert((!D1.empty() && D1.total() == 4) || D1.empty());
+    CV_Assert((!K2.empty() && K1.size() == Size(3,3)) || K2.empty());
+    CV_Assert((!D2.empty() && D1.total() == 4) || D2.empty());
+
+    CV_Assert((!rvecs1.empty() && rvecs1.channels() == 3) || rvecs1.empty());
+    CV_Assert((!tvecs1.empty() && tvecs1.channels() == 3) || tvecs1.empty());
+    CV_Assert((!rvecs2.empty() && rvecs2.channels() == 3) || rvecs2.empty());
+    CV_Assert((!tvecs2.empty() && tvecs2.channels() == 3) || tvecs2.empty());
+
+    //-------------------------------Initialization
+
+    const int threshold = 50;
+
+    size_t n_points = objectPoints.getMat(0).total();
+    size_t n_images = objectPoints.total();
+
+    double change = 1;
+
+    cv::internal::IntrinsicParams intrinsicLeft;
+    cv::internal::IntrinsicParams intrinsicRight;
+
+    cv::internal::IntrinsicParams intrinsicLeft_errors;
+    cv::internal::IntrinsicParams intrinsicRight_errors;
+
+    Matx33d _K;
+    Vec4d _D;
+
+    K1.getMat().convertTo(_K, CV_64FC1);
+    D1.getMat().convertTo(_D, CV_64FC1);
+    intrinsicLeft.Init(Vec2d(_K(0,0), _K(1, 1)), Vec2d(_K(0,2), _K(1, 2)),
+                       Vec4d(_D[0], _D[1], _D[2], _D[3]), _K(0, 1) / _K(0, 0));
+
+    K2.getMat().convertTo(_K, CV_64FC1);
+    D2.getMat().convertTo(_D, CV_64FC1);
+    intrinsicRight.Init(Vec2d(_K(0,0), _K(1, 1)), Vec2d(_K(0,2), _K(1, 2)),
+                        Vec4d(_D[0], _D[1], _D[2], _D[3]), _K(0, 1) / _K(0, 0));
+
+    intrinsicLeft.isEstimate[0] = 1;
+    intrinsicLeft.isEstimate[1] = 1;
+    intrinsicLeft.isEstimate[2] = 1;
+    intrinsicLeft.isEstimate[3] = 1;
+        intrinsicLeft.isEstimate[4] = 0;
+    intrinsicLeft.isEstimate[5] = 1;
+    intrinsicLeft.isEstimate[6] = 1;
+    intrinsicLeft.isEstimate[7] = 1;
+    intrinsicLeft.isEstimate[8] = 1;
+
+    intrinsicRight.isEstimate[0] = 1;
+    intrinsicRight.isEstimate[1] = 1;
+    intrinsicRight.isEstimate[2] = 1;
+    intrinsicRight.isEstimate[3] = 1;
+        intrinsicRight.isEstimate[4] = 0;
+    intrinsicRight.isEstimate[5] = 1;
+    intrinsicRight.isEstimate[6] = 1;
+    intrinsicRight.isEstimate[7] = 1;
+    intrinsicRight.isEstimate[8] = 1;
+
+    intrinsicLeft_errors.isEstimate = intrinsicLeft.isEstimate;
+    intrinsicRight_errors.isEstimate = intrinsicRight.isEstimate;
+
+    std::vector<int> selectedParams;
+    std::vector<int> tmp(6 * (n_images + 1), 1);
+    selectedParams.insert(selectedParams.end(), intrinsicLeft.isEstimate.begin(), intrinsicLeft.isEstimate.end());
+    selectedParams.insert(selectedParams.end(), intrinsicRight.isEstimate.begin(), intrinsicRight.isEstimate.end());
+    selectedParams.insert(selectedParams.end(), tmp.begin(), tmp.end());
+
+    //Init values for rotation and translation between two views
+    cv::Mat om_list(1, n_images, CV_64FC3), T_list(1, n_images, CV_64FC3);
+    cv::Mat om_ref, R_ref, T_ref, R1, R2;
+    for (size_t image_idx = 0; image_idx < n_images; ++image_idx)
+    {
+        cv::Rodrigues(rvecs1.getMat(image_idx), R1);
+        cv::Rodrigues(rvecs2.getMat(image_idx), R2);
+        R_ref = R2 * R1.t();
+        T_ref = tvecs2.getMat(image_idx).reshape(1, 3) - R_ref * tvecs1.getMat(image_idx).reshape(1, 3);
+        cv::Rodrigues(R_ref, om_ref);
+        om_ref.reshape(3, 1).copyTo(om_list.col(image_idx));
+        T_ref.reshape(3, 1).copyTo(T_list.col(image_idx));
+    }
+    cv::Vec3d omcur = internal::median3d(om_list);
+    cv::Vec3d Tcur  = internal::median3d(T_list);
+
+    cv::Mat J = cv::Mat::zeros(4 * n_points * n_images, 18 + 6 * (n_images + 1), CV_64FC1),
+            e = cv::Mat::zeros(4 * n_points * n_images, 1, CV_64FC1), Jkk, ekk;
+    cv::Mat J2_inv;
+    for(int iter = 0; ; ++iter)
+    {
+        if ((criteria.type == 1 && iter >= criteria.maxCount)  ||
+            (criteria.type == 2 && change <= criteria.epsilon) ||
+            (criteria.type == 3 && (change <= criteria.epsilon || iter >= criteria.maxCount)))
+            break;
+
+        J.create(4 * n_points * n_images, 18 + 6 * (n_images + 1), CV_64FC1);
+        e.create(4 * n_points * n_images, 1, CV_64FC1);
+        Jkk.create(4 * n_points, 18 + 6 * (n_images + 1), CV_64FC1);
+        ekk.create(4 * n_points, 1, CV_64FC1);
+
+        cv::Mat omr, Tr, domrdomckk, domrdTckk, domrdom, domrdT, dTrdomckk, dTrdTckk, dTrdom, dTrdT;
+
+        for (size_t image_idx = 0; image_idx < n_images; ++image_idx)
+        {
+            Jkk = cv::Mat::zeros(4 * n_points, 18 + 6 * (n_images + 1), CV_64FC1);
+
+            cv::Mat object  = objectPoints.getMat(image_idx).clone();
+            cv::Mat imageLeft  = imagePoints1.getMat(image_idx).clone();
+            cv::Mat imageRight  = imagePoints2.getMat(image_idx).clone();
+            cv::Mat jacobians, projected;
+
+            //left camera jacobian
+            cv::Mat rvec = rvecs1.getMat(image_idx).clone();
+            cv::Mat tvec  = tvecs1.getMat(image_idx).clone();
+            cv::internal::projectPoints(object, projected, rvec, tvec, intrinsicLeft, jacobians);
+            cv::Mat(cv::Mat((imageLeft - projected).t()).reshape(1, 1).t()).copyTo(ekk.rowRange(0, 2 * n_points));
+            jacobians.colRange(8, 11).copyTo(Jkk.colRange(24 + image_idx * 6, 27 + image_idx * 6).rowRange(0, 2 * n_points));
+            jacobians.colRange(11, 14).copyTo(Jkk.colRange(27 + image_idx * 6, 30 + image_idx * 6).rowRange(0, 2 * n_points));
+            jacobians.colRange(0, 2).copyTo(Jkk.colRange(0, 2).rowRange(0, 2 * n_points));
+            jacobians.colRange(2, 4).copyTo(Jkk.colRange(2, 4).rowRange(0, 2 * n_points));
+            jacobians.colRange(4, 8).copyTo(Jkk.colRange(5, 9).rowRange(0, 2 * n_points));
+            jacobians.col(14).copyTo(Jkk.col(4).rowRange(0, 2 * n_points));
+
+            //right camera jacobian
+            internal::compose_motion(rvec, tvec, omcur, Tcur, omr, Tr, domrdomckk, domrdTckk, domrdom, domrdT, dTrdomckk, dTrdTckk, dTrdom, dTrdT);
+            rvec = rvecs2.getMat(image_idx).clone();
+            tvec  = tvecs2.getMat(image_idx).clone();
+
+            cv::internal::projectPoints(object, projected, omr, Tr, intrinsicRight, jacobians);
+            cv::Mat(cv::Mat((imageRight - projected).t()).reshape(1, 1).t()).copyTo(ekk.rowRange(2 * n_points, 4 * n_points));
+            cv::Mat dxrdom = jacobians.colRange(8, 11) * domrdom + jacobians.colRange(11, 14) * dTrdom;
+            cv::Mat dxrdT = jacobians.colRange(8, 11) * domrdT + jacobians.colRange(11, 14)* dTrdT;
+            cv::Mat dxrdomckk = jacobians.colRange(8, 11) * domrdomckk + jacobians.colRange(11, 14) * dTrdomckk;
+            cv::Mat dxrdTckk = jacobians.colRange(8, 11) * domrdTckk + jacobians.colRange(11, 14) * dTrdTckk;
+
+            dxrdom.copyTo(Jkk.colRange(18, 21).rowRange(2 * n_points, 4 * n_points));
+            dxrdT.copyTo(Jkk.colRange(21, 24).rowRange(2 * n_points, 4 * n_points));
+            dxrdomckk.copyTo(Jkk.colRange(24 + image_idx * 6, 27 + image_idx * 6).rowRange(2 * n_points, 4 * n_points));
+            dxrdTckk.copyTo(Jkk.colRange(27 + image_idx * 6, 30 + image_idx * 6).rowRange(2 * n_points, 4 * n_points));
+            jacobians.colRange(0, 2).copyTo(Jkk.colRange(9 + 0, 9 + 2).rowRange(2 * n_points, 4 * n_points));
+            jacobians.colRange(2, 4).copyTo(Jkk.colRange(9 + 2, 9 + 4).rowRange(2 * n_points, 4 * n_points));
+            jacobians.colRange(4, 8).copyTo(Jkk.colRange(9 + 5, 9 + 9).rowRange(2 * n_points, 4 * n_points));
+            jacobians.col(14).copyTo(Jkk.col(9 + 4).rowRange(2 * n_points, 4 * n_points));
+
+            //check goodness of sterepair
+            double abs_max  = 0;
+            for (size_t i = 0; i < 4 * n_points; i++)
+            {
+                if (fabs(ekk.at<double>(i)) > abs_max)
+                {
+                    abs_max = fabs(ekk.at<double>(i));
+                }
+            }
+            if (abs_max < threshold)
+            {
+                Jkk.copyTo(J.rowRange(image_idx * 4 * n_points, (image_idx + 1) * 4 * n_points));
+                ekk.copyTo(e.rowRange(image_idx * 4 * n_points, (image_idx + 1) * 4 * n_points));
+            }
+            else
+            {
+                CV_Assert(!"Bad stereo pair");
+            }
+        }
+
+        cv::Vec6d oldTom(Tcur[0], Tcur[1], Tcur[2], omcur[0], omcur[1], omcur[2]);
+
+        //update all parameters
+        cv::subMatrix(J, J, selectedParams, std::vector<int>(J.rows, 1));
+        cv::Mat J2 = J.t() * J;
+        J2_inv = J2.inv();
+        int a = cv::countNonZero(intrinsicLeft.isEstimate);
+        int b = cv::countNonZero(intrinsicRight.isEstimate);
+        cv::Mat deltas = J2_inv * J.t() * e;
+        intrinsicLeft = intrinsicLeft + deltas.rowRange(0, a);
+        intrinsicRight = intrinsicRight + deltas.rowRange(a, a + b);
+        omcur = omcur + cv::Vec3d(deltas.rowRange(a + b, a + b + 3));
+        Tcur = Tcur + cv::Vec3d(deltas.rowRange(a + b + 3, a + b + 6));
+        for (size_t image_idx = 0; image_idx < n_images; ++image_idx)
+        {
+            rvecs1.getMat(image_idx) = rvecs1.getMat(image_idx) + deltas.rowRange(a + b + 6 + image_idx * 6, a + b + 9 + image_idx * 6).reshape(3);
+            tvecs1.getMat(image_idx) = tvecs1.getMat(image_idx) + deltas.rowRange(a + b + 9 + image_idx * 6, a + b + 12 + image_idx * 6).reshape(3);
+        }
+
+        cv::Vec6d newTom(Tcur[0], Tcur[1], Tcur[2], omcur[0], omcur[1], omcur[2]);
+        change = cv::norm(newTom - oldTom) / cv::norm(newTom);
+    }
+
+    //estimate uncertainties
+    cv::Mat sigma_x;
+    cv::meanStdDev(e, cv::noArray(), sigma_x);
+    sigma_x *= sqrt((double)e.total() / (e.total() - 1));
+    cv::sqrt(J2_inv, J2_inv);
+    cv::Mat errors = 3 * J2_inv.diag() * sigma_x;
+    int a1 = cv::countNonZero(intrinsicLeft_errors.isEstimate);
+    int b1 = cv::countNonZero(intrinsicRight_errors.isEstimate);
+    intrinsicLeft_errors =  errors.rowRange(0, a1);
+    intrinsicRight_errors = errors.rowRange(a1, a1 + b1);
+    cv::Vec3d om_error = cv::Vec3d(errors.rowRange(a1 + b1, a1 + b1 + 3));
+    cv::Vec3d T_error  = cv::Vec3d(errors.rowRange(a1 + b1 + 3, a1 + b1 + 6));
+
+    std::cout << std::setprecision(15) << "left f = " << intrinsicLeft.f << std::endl;
+    std::cout << std::setprecision(15) << "left c = " << intrinsicLeft.c << std::endl;
+    std::cout << std::setprecision(15) << "left alpha = " << intrinsicLeft.alpha << std::endl;
+    std::cout << std::setprecision(15) << "left k = " << intrinsicLeft.k << std::endl;
+
+    std::cout << std::setprecision(15) << "right f = " << intrinsicRight.f << std::endl;
+    std::cout << std::setprecision(15) << "right c = " << intrinsicRight.c << std::endl;
+    std::cout << std::setprecision(15) << "right alpha = " << intrinsicRight.alpha << std::endl;
+    std::cout << std::setprecision(15) << "right k = " << intrinsicRight.k << std::endl;
+
+    std::cout << omcur << std::endl;
+    std::cout << Tcur  << std::endl;
+    std::cout << "===================================================================================="  << std::endl;
+    std::cout.flush();
+
+    std::cout << std::setprecision(15) << "left f = " << intrinsicLeft_errors.f << std::endl;
+    std::cout << std::setprecision(15) << "left c = " << intrinsicLeft_errors.c << std::endl;
+    std::cout << std::setprecision(15) << "left alpha = " << intrinsicLeft_errors.alpha << std::endl;
+    std::cout << std::setprecision(15) << "left k = " << intrinsicLeft_errors.k << std::endl;
+
+    std::cout << std::setprecision(15) << "right f = " << intrinsicRight_errors.f << std::endl;
+    std::cout << std::setprecision(15) << "right c = " << intrinsicRight_errors.c << std::endl;
+    std::cout << std::setprecision(15) << "right alpha = " << intrinsicRight_errors.alpha << std::endl;
+    std::cout << std::setprecision(15) << "right k = " << intrinsicRight_errors.k << std::endl;
+
+    std::cout << om_error << std::endl;
+    std::cout << T_error  << std::endl;
+    std::cout << "===================================================================================="  << std::endl;
+    std::cout.flush();
+
+    CV_Assert(cv::norm(intrinsicLeft.f - cv::Vec2d(561.195925927249, 562.849402029712)) < 1e-12);
+    CV_Assert(cv::norm(intrinsicLeft.c - cv::Vec2d(621.282400272412, 380.555455380889)) < 1e-12);
+    CV_Assert(intrinsicLeft.alpha == 0);
+    CV_Assert(cv::norm(intrinsicLeft.k - cv::Vec4d(-7.44253716539556e-05, -0.00702662033932424, 0.00737569823650885, -0.00342230256441771)) < 1e-12);
+    CV_Assert(cv::norm(intrinsicRight.f - cv::Vec2d(560.395452535348, 561.90171021422)) < 1e-12);
+    CV_Assert(cv::norm(intrinsicRight.c - cv::Vec2d(678.971652040359, 380.401340535339)) < 1e-12);
+    CV_Assert(intrinsicRight.alpha == 0);
+    CV_Assert(cv::norm(intrinsicRight.k - cv::Vec4d(-0.0130785435677431, 0.0284434505383497, -0.0360333869900506, 0.0144724062347222)) < 1e-12);
+    CV_Assert(cv::norm(omcur - cv::Vec3d(-0.00605728469659871, 0.006287139337868821, -0.06960627514977027)) < 1e-12);
+    CV_Assert(cv::norm(Tcur - cv::Vec3d(-0.09940272472412097, 0.002708121392654134, 0.001293302924726987)) < 1e-12);
+
+    CV_Assert(cv::norm(intrinsicLeft_errors.f - cv::Vec2d(0.71024293066476, 0.717596249442966)) < 1e-12);
+    CV_Assert(cv::norm(intrinsicLeft_errors.c - cv::Vec2d(0.782164491020839, 0.538718002947604)) < 1e-12);
+    CV_Assert(intrinsicLeft_errors.alpha == 0);
+    CV_Assert(cv::norm(intrinsicLeft_errors.k - cv::Vec4d(0.00525819017878291, 0.0179451746982225, 0.0236417266063274, 0.0104757238170252)) < 1e-12);
+    CV_Assert(cv::norm(intrinsicRight_errors.f - cv::Vec2d(0.748707568264116, 0.745355483082726)) < 1e-12);
+    CV_Assert(cv::norm(intrinsicRight_errors.c - cv::Vec2d(0.788236834082615, 0.538854504490304)) < 1e-12);
+    CV_Assert(intrinsicRight_errors.alpha == 0);
+    CV_Assert(cv::norm(intrinsicRight_errors.k - cv::Vec4d(0.00534743998208779, 0.0175804116710864, 0.0226549382734192, 0.00979255348533809)) < 1e-12);
+    CV_Assert(cv::norm(om_error - cv::Vec3d(0.0005903298904975326, 0.001048251127879415, 0.0001775640833531587)) < 1e-12);
+    CV_Assert(cv::norm(T_error - cv::Vec3d(6.691282702437657e-05, 5.566841336891827e-05, 0.0001954901454589594)) < 1e-12);
+
+
+    Matx33d _K1 = Matx33d(intrinsicLeft.f[0], intrinsicLeft.f[0] * intrinsicLeft.alpha, intrinsicLeft.c[0],
+                                       0,                       intrinsicLeft.f[1], intrinsicLeft.c[1],
+                                       0,                                        0,                 1);
+
+    Matx33d _K2 = Matx33d(intrinsicRight.f[0], intrinsicRight.f[0] * intrinsicRight.alpha, intrinsicRight.c[0],
+                                        0,                        intrinsicRight.f[1], intrinsicRight.c[1],
+                                        0,                                          0,                  1);
+
+    Mat _R;
+    Rodrigues(omcur, _R);
+
+//    if (K1.needed()) cv::Mat(_K1).convertTo(K2, K1.empty() ? CV_64FC1 : K1.type());
+//    if (K2.needed()) cv::Mat(_K2).convertTo(K2, K2.empty() ? CV_64FC1 : K2.type());
+//    if (D1.needed()) cv::Mat(intrinsicLeft.k).convertTo(D1, D1.empty() ? CV_64FC1 : D1.type());
+//    if (D2.needed()) cv::Mat(intrinsicRight.k).convertTo(D2, D2.empty() ? CV_64FC1 : D2.type());
+//    if (R.needed()) _R.convertTo(R, R.empty() ? CV_64FC1 : R.type());
+//    if (T.needed()) Tcur.convertTo(R, R.empty() ? CV_64FC1 : R.type());
+
+//    if (rvecs1.needed()) cv::Mat(omc).convertTo(rvecs, rvecs.empty() ? CV_64FC3 : rvecs.type());
+//    if (tvecs.needed()) cv::Mat(Tc).convertTo(tvecs, tvecs.empty() ? CV_64FC3 : tvecs.type());
+
+
+    return 0;
+}
+
 namespace cv{ namespace {
 void subMatrix(const Mat& src, Mat& dst, const vector<int>& cols, const vector<int>& rows)
 {
@@ -1216,3 +1510,122 @@ void cv::internal::EstimateUncertainties(InputArrayOfArrays objectPoints, InputA
     rms /= ex.total();
     rms = sqrt(rms);
 }
+
+void cv::internal::dAB(InputArray A, InputArray B, OutputArray dABdA, OutputArray dABdB)
+{
+    CV_Assert(A.getMat().cols == B.getMat().rows);
+    CV_Assert(A.type() == CV_64FC1 && B.type() == CV_64FC1);
+
+    size_t p = A.getMat().rows;
+    size_t n = A.getMat().cols;
+    size_t q = B.getMat().cols;
+
+    dABdA.create(p * q, p * n, CV_64FC1);
+    dABdB.create(p * q, q * n, CV_64FC1);
+
+    dABdA.getMat() = Mat::zeros(p * q, p * n, CV_64FC1);
+    dABdB.getMat() = Mat::zeros(p * q, q * n, CV_64FC1);
+
+    for (size_t i = 0; i < q; ++i)
+    {
+        for (size_t j = 0; j < p; ++j)
+        {
+            size_t ij = j + i * p;
+            for (size_t k = 0; k < n; ++k)
+            {
+                size_t kj = j + k * p;
+                dABdA.getMat().at<double>(ij, kj) = B.getMat().at<double>(k, i);
+            }
+        }
+    }
+
+    for (size_t i = 0; i < q; ++i)
+    {
+        A.getMat().copyTo(dABdB.getMat().rowRange(i * p, i * p + p).colRange(i * n, i * n + n));
+    }
+}
+
+void cv::internal::JRodriguesMatlab(const Mat& src, Mat& dst)
+{
+    Mat tmp(src.cols, src.rows, src.type());
+    if (src.rows == 9)
+    {
+        Mat(src.row(0).t()).copyTo(tmp.col(0));
+        Mat(src.row(1).t()).copyTo(tmp.col(3));
+        Mat(src.row(2).t()).copyTo(tmp.col(6));
+        Mat(src.row(3).t()).copyTo(tmp.col(1));
+        Mat(src.row(4).t()).copyTo(tmp.col(4));
+        Mat(src.row(5).t()).copyTo(tmp.col(7));
+        Mat(src.row(6).t()).copyTo(tmp.col(2));
+        Mat(src.row(7).t()).copyTo(tmp.col(5));
+        Mat(src.row(8).t()).copyTo(tmp.col(8));
+    }
+    else
+    {
+        Mat(src.col(0).t()).copyTo(tmp.row(0));
+        Mat(src.col(1).t()).copyTo(tmp.row(3));
+        Mat(src.col(2).t()).copyTo(tmp.row(6));
+        Mat(src.col(3).t()).copyTo(tmp.row(1));
+        Mat(src.col(4).t()).copyTo(tmp.row(4));
+        Mat(src.col(5).t()).copyTo(tmp.row(7));
+        Mat(src.col(6).t()).copyTo(tmp.row(2));
+        Mat(src.col(7).t()).copyTo(tmp.row(5));
+        Mat(src.col(8).t()).copyTo(tmp.row(8));
+    }
+    dst = tmp.clone();
+}
+
+void cv::internal::compose_motion(InputArray _om1, InputArray _T1, InputArray _om2, InputArray _T2,
+                    Mat& om3, Mat& T3, Mat& dom3dom1, Mat& dom3dT1, Mat& dom3dom2,
+                    Mat& dom3dT2, Mat& dT3dom1, Mat& dT3dT1, Mat& dT3dom2, Mat& dT3dT2)
+{
+    Mat om1 = _om1.getMat();
+    Mat om2 = _om2.getMat();
+    Mat T1 = _T1.getMat().reshape(1, 3);
+    Mat T2 = _T2.getMat().reshape(1, 3);
+
+    //% Rotations:
+    Mat R1, R2, R3, dR1dom1(9, 3, CV_64FC1), dR2dom2;
+    Rodrigues(om1, R1, dR1dom1);
+    Rodrigues(om2, R2, dR2dom2);
+    JRodriguesMatlab(dR1dom1, dR1dom1);
+    JRodriguesMatlab(dR2dom2, dR2dom2);
+    R3 = R2 * R1;
+    Mat dR3dR2, dR3dR1;
+    dAB(R2, R1, dR3dR2, dR3dR1);
+    Mat dom3dR3;
+    Rodrigues(R3, om3, dom3dR3);
+    JRodriguesMatlab(dom3dR3, dom3dR3);
+    dom3dom1 = dom3dR3 * dR3dR1 * dR1dom1;
+    dom3dom2 = dom3dR3 * dR3dR2 * dR2dom2;
+    dom3dT1 = Mat::zeros(3, 3, CV_64FC1);
+    dom3dT2 = Mat::zeros(3, 3, CV_64FC1);
+
+    //% Translations:
+    Mat T3t = R2 * T1;
+    Mat dT3tdR2, dT3tdT1;
+    dAB(R2, T1, dT3tdR2, dT3tdT1);
+    Mat dT3tdom2 = dT3tdR2 * dR2dom2;
+    T3 = T3t + T2;
+    dT3dT1 = dT3tdT1;
+    dT3dT2 = Mat::eye(3, 3, CV_64FC1);
+    dT3dom2 = dT3tdom2;
+    dT3dom1 = Mat::zeros(3, 3, CV_64FC1);
+}
+
+double cv::internal::median(const Mat& row)
+{
+    CV_Assert(row.type() == CV_64FC1);
+    CV_Assert(!row.empty() && row.rows == 1);
+    Mat tmp = row.clone();
+    sort(tmp, tmp, 0);
+    if (tmp.total() % 2) return tmp.at<double>(tmp.total() / 2);
+    else return 0.5 *(tmp.at<double>(tmp.total() / 2) + tmp.at<double>(tmp.total() / 2 - 1));
+}
+
+cv::Vec3d cv::internal::median3d(InputArray m)
+{
+    CV_Assert(m.depth() == CV_64F && m.getMat().rows == 1);
+    Mat M = Mat(m.getMat().t()).reshape(1).t();
+    return Vec3d(median(M.row(0)), median(M.row(1)), median(M.row(2)));
+}
diff --git a/modules/calib3d/src/fisheye.hpp b/modules/calib3d/src/fisheye.hpp
index e000e635a0..fa4bfdb388 100644
--- a/modules/calib3d/src/fisheye.hpp
+++ b/modules/calib3d/src/fisheye.hpp
@@ -43,6 +43,18 @@ void EstimateUncertainties(InputArrayOfArrays objectPoints, InputArrayOfArrays i
                            const IntrinsicParams& params, InputArray omc, InputArray Tc,
                            IntrinsicParams& errors, Vec2d& std_err, double thresh_cond, int check_cond, double& rms);
 
+void dAB(cv::InputArray A, InputArray B, OutputArray dABdA, OutputArray dABdB);
+
+void JRodriguesMatlab(const Mat& src, Mat& dst);
+
+void compose_motion(InputArray _om1, InputArray _T1, InputArray _om2, InputArray _T2,
+                    Mat& om3, Mat& T3, Mat& dom3dom1, Mat& dom3dT1, Mat& dom3dom2,
+                    Mat& dom3dT2, Mat& dT3dom1, Mat& dT3dT1, Mat& dT3dom2, Mat& dT3dT2);
+
+double median(const Mat& row);
+
+Vec3d median3d(InputArray m);
+
 }}
 
 #endif

From 50b291995a71c7176dad21a39b7151cf81644700 Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Mon, 5 May 2014 17:23:03 +0400
Subject: [PATCH 09/92] Added tests for stereoCalibrate

---
 .../include/opencv2/calib3d/calib3d.hpp       |   6 +-
 modules/calib3d/src/fisheye.cpp               | 206 ++++++---------
 modules/calib3d/test/test_fisheye.cpp         | 235 ++++++++++++++++++
 3 files changed, 317 insertions(+), 130 deletions(-)

diff --git a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
index b495fbe2d0..b6d85a0959 100644
--- a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
@@ -806,10 +806,10 @@ public:
 
     //! performs stereo calibaration
     static double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
-                                  InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2,
-                                  InputOutputArrayOfArrays rvecs1, InputOutputArrayOfArrays tvecs1,
-                                  InputOutputArrayOfArrays rvecs2, InputOutputArrayOfArrays tvecs2,
+                                  InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize,
+                                  OutputArray R, OutputArray T, int flags,
                                   TermCriteria criteria = TermCriteria(3, 100, 1e-10));
+
 };
 
 }
diff --git a/modules/calib3d/src/fisheye.cpp b/modules/calib3d/src/fisheye.cpp
index 19b30428e9..50dd045281 100644
--- a/modules/calib3d/src/fisheye.cpp
+++ b/modules/calib3d/src/fisheye.cpp
@@ -764,10 +764,8 @@ double cv::Fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArray
 /// cv::Fisheye::stereoCalibrate
 
 double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
-                                    InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2,
-                                    InputOutputArray rvecs1, InputOutputArrayOfArrays tvecs1,
-                                    InputOutputArrayOfArrays rvecs2, InputOutputArrayOfArrays tvecs2,
-                                    TermCriteria criteria)
+                                    InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize,
+                                    OutputArray R, OutputArray T, int flags, TermCriteria criteria)
 {
     CV_Assert(!objectPoints.empty() && !imagePoints1.empty() && !imagePoints2.empty());
     CV_Assert(objectPoints.total() == imagePoints1.total() || imagePoints1.total() == imagePoints2.total());
@@ -780,14 +778,13 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
     CV_Assert((!K2.empty() && K1.size() == Size(3,3)) || K2.empty());
     CV_Assert((!D2.empty() && D1.total() == 4) || D2.empty());
 
-    CV_Assert((!rvecs1.empty() && rvecs1.channels() == 3) || rvecs1.empty());
-    CV_Assert((!tvecs1.empty() && tvecs1.channels() == 3) || tvecs1.empty());
-    CV_Assert((!rvecs2.empty() && rvecs2.channels() == 3) || rvecs2.empty());
-    CV_Assert((!tvecs2.empty() && tvecs2.channels() == 3) || tvecs2.empty());
+    CV_Assert(((flags & CALIB_FIX_INTRINSIC) && !K1.empty() && !K2.empty() && !D1.empty() && !D2.empty()) || !(flags & CALIB_FIX_INTRINSIC));
 
     //-------------------------------Initialization
 
     const int threshold = 50;
+    const double thresh_cond = 1e6;
+    const int check_cond = 1;
 
     size_t n_points = objectPoints.getMat(0).total();
     size_t n_images = objectPoints.total();
@@ -800,38 +797,52 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
     cv::internal::IntrinsicParams intrinsicLeft_errors;
     cv::internal::IntrinsicParams intrinsicRight_errors;
 
-    Matx33d _K;
-    Vec4d _D;
+    Matx33d _K1, _K2;
+    Vec4d _D1, _D2;
+    if (!K1.empty()) K1.getMat().convertTo(_K1, CV_64FC1);
+    if (!D1.empty()) D1.getMat().convertTo(_D1, CV_64FC1);
+    if (!K2.empty()) K2.getMat().convertTo(_K2, CV_64FC1);
+    if (!D2.empty()) D2.getMat().convertTo(_D2, CV_64FC1);
 
-    K1.getMat().convertTo(_K, CV_64FC1);
-    D1.getMat().convertTo(_D, CV_64FC1);
-    intrinsicLeft.Init(Vec2d(_K(0,0), _K(1, 1)), Vec2d(_K(0,2), _K(1, 2)),
-                       Vec4d(_D[0], _D[1], _D[2], _D[3]), _K(0, 1) / _K(0, 0));
-
-    K2.getMat().convertTo(_K, CV_64FC1);
-    D2.getMat().convertTo(_D, CV_64FC1);
-    intrinsicRight.Init(Vec2d(_K(0,0), _K(1, 1)), Vec2d(_K(0,2), _K(1, 2)),
-                        Vec4d(_D[0], _D[1], _D[2], _D[3]), _K(0, 1) / _K(0, 0));
-
-    intrinsicLeft.isEstimate[0] = 1;
-    intrinsicLeft.isEstimate[1] = 1;
-    intrinsicLeft.isEstimate[2] = 1;
-    intrinsicLeft.isEstimate[3] = 1;
-        intrinsicLeft.isEstimate[4] = 0;
-    intrinsicLeft.isEstimate[5] = 1;
-    intrinsicLeft.isEstimate[6] = 1;
-    intrinsicLeft.isEstimate[7] = 1;
-    intrinsicLeft.isEstimate[8] = 1;
-
-    intrinsicRight.isEstimate[0] = 1;
-    intrinsicRight.isEstimate[1] = 1;
-    intrinsicRight.isEstimate[2] = 1;
-    intrinsicRight.isEstimate[3] = 1;
-        intrinsicRight.isEstimate[4] = 0;
-    intrinsicRight.isEstimate[5] = 1;
-    intrinsicRight.isEstimate[6] = 1;
-    intrinsicRight.isEstimate[7] = 1;
-    intrinsicRight.isEstimate[8] = 1;
+    std::vector<Vec3d> rvecs1(n_images), tvecs1(n_images), rvecs2(n_images), tvecs2(n_images);
+
+    if (!(flags & CALIB_FIX_INTRINSIC))
+    {
+        calibrate(objectPoints, imagePoints1, imageSize, _K1, _D1, rvecs1, tvecs1, flags, TermCriteria(3, 20, 1e-6));
+        calibrate(objectPoints, imagePoints2, imageSize, _K2, _D2, rvecs2, tvecs2, flags, TermCriteria(3, 20, 1e-6));
+    }
+
+    intrinsicLeft.Init(Vec2d(_K1(0,0), _K1(1, 1)), Vec2d(_K1(0,2), _K1(1, 2)),
+                       Vec4d(_D1[0], _D1[1], _D1[2], _D1[3]), _K1(0, 1) / _K1(0, 0));
+
+    intrinsicRight.Init(Vec2d(_K2(0,0), _K2(1, 1)), Vec2d(_K2(0,2), _K2(1, 2)),
+                        Vec4d(_D2[0], _D2[1], _D2[2], _D2[3]), _K2(0, 1) / _K2(0, 0));
+
+    if ((flags & CALIB_FIX_INTRINSIC))
+    {
+        internal::CalibrateExtrinsics(objectPoints,  imagePoints1, intrinsicLeft, check_cond, thresh_cond, rvecs1, tvecs1);
+        internal::CalibrateExtrinsics(objectPoints,  imagePoints2, intrinsicRight, check_cond, thresh_cond, rvecs2, tvecs2);
+    }
+
+    intrinsicLeft.isEstimate[0] = flags & CALIB_FIX_INTRINSIC ? 0 : 1;
+    intrinsicLeft.isEstimate[1] = flags & CALIB_FIX_INTRINSIC ? 0 : 1;
+    intrinsicLeft.isEstimate[2] = flags & CALIB_FIX_INTRINSIC ? 0 : 1;
+    intrinsicLeft.isEstimate[3] = flags & CALIB_FIX_INTRINSIC ? 0 : 1;
+    intrinsicLeft.isEstimate[4] = flags & (CALIB_FIX_SKEW | CALIB_FIX_INTRINSIC) ? 0 : 1;
+    intrinsicLeft.isEstimate[5] = flags & (CALIB_FIX_K1 | CALIB_FIX_INTRINSIC) ? 0 : 1;
+    intrinsicLeft.isEstimate[6] = flags & (CALIB_FIX_K2 | CALIB_FIX_INTRINSIC) ? 0 : 1;
+    intrinsicLeft.isEstimate[7] = flags & (CALIB_FIX_K3 | CALIB_FIX_INTRINSIC) ? 0 : 1;
+    intrinsicLeft.isEstimate[8] = flags & (CALIB_FIX_K4 | CALIB_FIX_INTRINSIC) ? 0 : 1;
+
+    intrinsicRight.isEstimate[0] = flags & CALIB_FIX_INTRINSIC ? 0 : 1;
+    intrinsicRight.isEstimate[1] = flags & CALIB_FIX_INTRINSIC ? 0 : 1;
+    intrinsicRight.isEstimate[2] = flags & CALIB_FIX_INTRINSIC ? 0 : 1;
+    intrinsicRight.isEstimate[3] = flags & CALIB_FIX_INTRINSIC ? 0 : 1;
+    intrinsicRight.isEstimate[4] = flags & (CALIB_FIX_SKEW | CALIB_FIX_INTRINSIC) ? 0 : 1;
+    intrinsicRight.isEstimate[5] = flags & (CALIB_FIX_K1 | CALIB_FIX_INTRINSIC) ? 0 : 1;
+    intrinsicRight.isEstimate[6] = flags & (CALIB_FIX_K2 | CALIB_FIX_INTRINSIC) ? 0 : 1;
+    intrinsicRight.isEstimate[7] = flags & (CALIB_FIX_K3 | CALIB_FIX_INTRINSIC) ? 0 : 1;
+    intrinsicRight.isEstimate[8] = flags & (CALIB_FIX_K4 | CALIB_FIX_INTRINSIC) ? 0 : 1;
 
     intrinsicLeft_errors.isEstimate = intrinsicLeft.isEstimate;
     intrinsicRight_errors.isEstimate = intrinsicRight.isEstimate;
@@ -847,10 +858,10 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
     cv::Mat om_ref, R_ref, T_ref, R1, R2;
     for (size_t image_idx = 0; image_idx < n_images; ++image_idx)
     {
-        cv::Rodrigues(rvecs1.getMat(image_idx), R1);
-        cv::Rodrigues(rvecs2.getMat(image_idx), R2);
+        cv::Rodrigues(rvecs1[image_idx], R1);
+        cv::Rodrigues(rvecs2[image_idx], R2);
         R_ref = R2 * R1.t();
-        T_ref = tvecs2.getMat(image_idx).reshape(1, 3) - R_ref * tvecs1.getMat(image_idx).reshape(1, 3);
+        T_ref = cv::Mat(tvecs2[image_idx]) - R_ref * cv::Mat(tvecs1[image_idx]);
         cv::Rodrigues(R_ref, om_ref);
         om_ref.reshape(3, 1).copyTo(om_list.col(image_idx));
         T_ref.reshape(3, 1).copyTo(T_list.col(image_idx));
@@ -861,6 +872,7 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
     cv::Mat J = cv::Mat::zeros(4 * n_points * n_images, 18 + 6 * (n_images + 1), CV_64FC1),
             e = cv::Mat::zeros(4 * n_points * n_images, 1, CV_64FC1), Jkk, ekk;
     cv::Mat J2_inv;
+
     for(int iter = 0; ; ++iter)
     {
         if ((criteria.type == 1 && iter >= criteria.maxCount)  ||
@@ -885,8 +897,8 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
             cv::Mat jacobians, projected;
 
             //left camera jacobian
-            cv::Mat rvec = rvecs1.getMat(image_idx).clone();
-            cv::Mat tvec  = tvecs1.getMat(image_idx).clone();
+            cv::Mat rvec = cv::Mat(rvecs1[image_idx]);
+            cv::Mat tvec  = cv::Mat(tvecs1[image_idx]);
             cv::internal::projectPoints(object, projected, rvec, tvec, intrinsicLeft, jacobians);
             cv::Mat(cv::Mat((imageLeft - projected).t()).reshape(1, 1).t()).copyTo(ekk.rowRange(0, 2 * n_points));
             jacobians.colRange(8, 11).copyTo(Jkk.colRange(24 + image_idx * 6, 27 + image_idx * 6).rowRange(0, 2 * n_points));
@@ -898,8 +910,8 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
 
             //right camera jacobian
             internal::compose_motion(rvec, tvec, omcur, Tcur, omr, Tr, domrdomckk, domrdTckk, domrdom, domrdT, dTrdomckk, dTrdTckk, dTrdom, dTrdT);
-            rvec = rvecs2.getMat(image_idx).clone();
-            tvec  = tvecs2.getMat(image_idx).clone();
+            rvec = cv::Mat(rvecs2[image_idx]);
+            tvec  = cv::Mat(tvecs2[image_idx]);
 
             cv::internal::projectPoints(object, projected, omr, Tr, intrinsicRight, jacobians);
             cv::Mat(cv::Mat((imageRight - projected).t()).reshape(1, 1).t()).copyTo(ekk.rowRange(2 * n_points, 4 * n_points));
@@ -952,103 +964,43 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
         Tcur = Tcur + cv::Vec3d(deltas.rowRange(a + b + 3, a + b + 6));
         for (size_t image_idx = 0; image_idx < n_images; ++image_idx)
         {
-            rvecs1.getMat(image_idx) = rvecs1.getMat(image_idx) + deltas.rowRange(a + b + 6 + image_idx * 6, a + b + 9 + image_idx * 6).reshape(3);
-            tvecs1.getMat(image_idx) = tvecs1.getMat(image_idx) + deltas.rowRange(a + b + 9 + image_idx * 6, a + b + 12 + image_idx * 6).reshape(3);
+            rvecs1[image_idx] = cv::Mat(cv::Mat(rvecs1[image_idx]) + deltas.rowRange(a + b + 6 + image_idx * 6, a + b + 9 + image_idx * 6));
+            tvecs1[image_idx] = cv::Mat(cv::Mat(tvecs1[image_idx]) + deltas.rowRange(a + b + 9 + image_idx * 6, a + b + 12 + image_idx * 6));
         }
 
         cv::Vec6d newTom(Tcur[0], Tcur[1], Tcur[2], omcur[0], omcur[1], omcur[2]);
         change = cv::norm(newTom - oldTom) / cv::norm(newTom);
     }
 
-    //estimate uncertainties
-    cv::Mat sigma_x;
-    cv::meanStdDev(e, cv::noArray(), sigma_x);
-    sigma_x *= sqrt((double)e.total() / (e.total() - 1));
-    cv::sqrt(J2_inv, J2_inv);
-    cv::Mat errors = 3 * J2_inv.diag() * sigma_x;
-    int a1 = cv::countNonZero(intrinsicLeft_errors.isEstimate);
-    int b1 = cv::countNonZero(intrinsicRight_errors.isEstimate);
-    intrinsicLeft_errors =  errors.rowRange(0, a1);
-    intrinsicRight_errors = errors.rowRange(a1, a1 + b1);
-    cv::Vec3d om_error = cv::Vec3d(errors.rowRange(a1 + b1, a1 + b1 + 3));
-    cv::Vec3d T_error  = cv::Vec3d(errors.rowRange(a1 + b1 + 3, a1 + b1 + 6));
-
-    std::cout << std::setprecision(15) << "left f = " << intrinsicLeft.f << std::endl;
-    std::cout << std::setprecision(15) << "left c = " << intrinsicLeft.c << std::endl;
-    std::cout << std::setprecision(15) << "left alpha = " << intrinsicLeft.alpha << std::endl;
-    std::cout << std::setprecision(15) << "left k = " << intrinsicLeft.k << std::endl;
-
-    std::cout << std::setprecision(15) << "right f = " << intrinsicRight.f << std::endl;
-    std::cout << std::setprecision(15) << "right c = " << intrinsicRight.c << std::endl;
-    std::cout << std::setprecision(15) << "right alpha = " << intrinsicRight.alpha << std::endl;
-    std::cout << std::setprecision(15) << "right k = " << intrinsicRight.k << std::endl;
-
-    std::cout << omcur << std::endl;
-    std::cout << Tcur  << std::endl;
-    std::cout << "===================================================================================="  << std::endl;
-    std::cout.flush();
-
-    std::cout << std::setprecision(15) << "left f = " << intrinsicLeft_errors.f << std::endl;
-    std::cout << std::setprecision(15) << "left c = " << intrinsicLeft_errors.c << std::endl;
-    std::cout << std::setprecision(15) << "left alpha = " << intrinsicLeft_errors.alpha << std::endl;
-    std::cout << std::setprecision(15) << "left k = " << intrinsicLeft_errors.k << std::endl;
-
-    std::cout << std::setprecision(15) << "right f = " << intrinsicRight_errors.f << std::endl;
-    std::cout << std::setprecision(15) << "right c = " << intrinsicRight_errors.c << std::endl;
-    std::cout << std::setprecision(15) << "right alpha = " << intrinsicRight_errors.alpha << std::endl;
-    std::cout << std::setprecision(15) << "right k = " << intrinsicRight_errors.k << std::endl;
-
-    std::cout << om_error << std::endl;
-    std::cout << T_error  << std::endl;
-    std::cout << "===================================================================================="  << std::endl;
-    std::cout.flush();
-
-    CV_Assert(cv::norm(intrinsicLeft.f - cv::Vec2d(561.195925927249, 562.849402029712)) < 1e-12);
-    CV_Assert(cv::norm(intrinsicLeft.c - cv::Vec2d(621.282400272412, 380.555455380889)) < 1e-12);
-    CV_Assert(intrinsicLeft.alpha == 0);
-    CV_Assert(cv::norm(intrinsicLeft.k - cv::Vec4d(-7.44253716539556e-05, -0.00702662033932424, 0.00737569823650885, -0.00342230256441771)) < 1e-12);
-    CV_Assert(cv::norm(intrinsicRight.f - cv::Vec2d(560.395452535348, 561.90171021422)) < 1e-12);
-    CV_Assert(cv::norm(intrinsicRight.c - cv::Vec2d(678.971652040359, 380.401340535339)) < 1e-12);
-    CV_Assert(intrinsicRight.alpha == 0);
-    CV_Assert(cv::norm(intrinsicRight.k - cv::Vec4d(-0.0130785435677431, 0.0284434505383497, -0.0360333869900506, 0.0144724062347222)) < 1e-12);
-    CV_Assert(cv::norm(omcur - cv::Vec3d(-0.00605728469659871, 0.006287139337868821, -0.06960627514977027)) < 1e-12);
-    CV_Assert(cv::norm(Tcur - cv::Vec3d(-0.09940272472412097, 0.002708121392654134, 0.001293302924726987)) < 1e-12);
-
-    CV_Assert(cv::norm(intrinsicLeft_errors.f - cv::Vec2d(0.71024293066476, 0.717596249442966)) < 1e-12);
-    CV_Assert(cv::norm(intrinsicLeft_errors.c - cv::Vec2d(0.782164491020839, 0.538718002947604)) < 1e-12);
-    CV_Assert(intrinsicLeft_errors.alpha == 0);
-    CV_Assert(cv::norm(intrinsicLeft_errors.k - cv::Vec4d(0.00525819017878291, 0.0179451746982225, 0.0236417266063274, 0.0104757238170252)) < 1e-12);
-    CV_Assert(cv::norm(intrinsicRight_errors.f - cv::Vec2d(0.748707568264116, 0.745355483082726)) < 1e-12);
-    CV_Assert(cv::norm(intrinsicRight_errors.c - cv::Vec2d(0.788236834082615, 0.538854504490304)) < 1e-12);
-    CV_Assert(intrinsicRight_errors.alpha == 0);
-    CV_Assert(cv::norm(intrinsicRight_errors.k - cv::Vec4d(0.00534743998208779, 0.0175804116710864, 0.0226549382734192, 0.00979255348533809)) < 1e-12);
-    CV_Assert(cv::norm(om_error - cv::Vec3d(0.0005903298904975326, 0.001048251127879415, 0.0001775640833531587)) < 1e-12);
-    CV_Assert(cv::norm(T_error - cv::Vec3d(6.691282702437657e-05, 5.566841336891827e-05, 0.0001954901454589594)) < 1e-12);
-
-
-    Matx33d _K1 = Matx33d(intrinsicLeft.f[0], intrinsicLeft.f[0] * intrinsicLeft.alpha, intrinsicLeft.c[0],
+    double rms = 0;
+    const Vec2d* ptr_e = e.ptr<Vec2d>();
+    for (size_t i = 0; i < e.total() / 2; i++)
+    {
+        rms += ptr_e[i][0] * ptr_e[i][0] + ptr_e[i][1] * ptr_e[i][1];
+    }
+
+    rms /= (e.total() / 2);
+    rms = sqrt(rms);
+
+    _K1 = Matx33d(intrinsicLeft.f[0], intrinsicLeft.f[0] * intrinsicLeft.alpha, intrinsicLeft.c[0],
                                        0,                       intrinsicLeft.f[1], intrinsicLeft.c[1],
                                        0,                                        0,                 1);
 
-    Matx33d _K2 = Matx33d(intrinsicRight.f[0], intrinsicRight.f[0] * intrinsicRight.alpha, intrinsicRight.c[0],
+    _K2 = Matx33d(intrinsicRight.f[0], intrinsicRight.f[0] * intrinsicRight.alpha, intrinsicRight.c[0],
                                         0,                        intrinsicRight.f[1], intrinsicRight.c[1],
                                         0,                                          0,                  1);
 
     Mat _R;
     Rodrigues(omcur, _R);
 
-//    if (K1.needed()) cv::Mat(_K1).convertTo(K2, K1.empty() ? CV_64FC1 : K1.type());
-//    if (K2.needed()) cv::Mat(_K2).convertTo(K2, K2.empty() ? CV_64FC1 : K2.type());
-//    if (D1.needed()) cv::Mat(intrinsicLeft.k).convertTo(D1, D1.empty() ? CV_64FC1 : D1.type());
-//    if (D2.needed()) cv::Mat(intrinsicRight.k).convertTo(D2, D2.empty() ? CV_64FC1 : D2.type());
-//    if (R.needed()) _R.convertTo(R, R.empty() ? CV_64FC1 : R.type());
-//    if (T.needed()) Tcur.convertTo(R, R.empty() ? CV_64FC1 : R.type());
-
-//    if (rvecs1.needed()) cv::Mat(omc).convertTo(rvecs, rvecs.empty() ? CV_64FC3 : rvecs.type());
-//    if (tvecs.needed()) cv::Mat(Tc).convertTo(tvecs, tvecs.empty() ? CV_64FC3 : tvecs.type());
+    if (K1.needed()) cv::Mat(_K1).convertTo(K1, K1.empty() ? CV_64FC1 : K1.type());
+    if (K2.needed()) cv::Mat(_K2).convertTo(K2, K2.empty() ? CV_64FC1 : K2.type());
+    if (D1.needed()) cv::Mat(intrinsicLeft.k).convertTo(D1, D1.empty() ? CV_64FC1 : D1.type());
+    if (D2.needed()) cv::Mat(intrinsicRight.k).convertTo(D2, D2.empty() ? CV_64FC1 : D2.type());
+    if (R.needed()) _R.convertTo(R, R.empty() ? CV_64FC1 : R.type());
+    if (T.needed()) cv::Mat(Tcur).convertTo(T, T.empty() ? CV_64FC1 : T.type());
 
-
-    return 0;
+    return rms;
 }
 
 namespace cv{ namespace {
diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index 41bbfea59d..0caaf7f45f 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -368,6 +368,241 @@ TEST_F(FisheyeTest, rectify)
     }
 }
 
+TEST_F(FisheyeTest, stereoCalibrate)
+{
+    const int n_images = 34;
+
+    const std::string folder =combine(datasets_repository_path, "calib-3_stereo_from_JY");
+
+    std::vector<std::vector<cv::Point2d> > leftPoints(n_images);
+    std::vector<std::vector<cv::Point2d> > rightPoints(n_images);
+    std::vector<std::vector<cv::Point3d> > objectPoints(n_images);
+
+    cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_left.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_left[cv::format("image_%d", i )] >> leftPoints[i];
+    fs_left.release();
+
+    cv::FileStorage fs_right(combine(folder, "right.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_right.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_right[cv::format("image_%d", i )] >> rightPoints[i];
+    fs_right.release();
+
+    cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_object.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_object[cv::format("image_%d", i )] >> objectPoints[i];
+    fs_object.release();
+
+    std::ofstream fs;
+
+    for (size_t i = 0; i < leftPoints.size(); i++)
+    {
+        std::string ss = combine(folder, "left");
+        ss = combine_format(ss, "%d", i);
+        fs.open(ss.c_str());
+        CV_Assert(fs.is_open());
+        for (size_t j = 0; j < leftPoints[i].size(); j++)
+        {
+            double x = leftPoints[i][j].x;
+            double y = leftPoints[i][j].y;
+            fs << std::setprecision(15) << x << "; " << y;
+            fs << std::endl;
+        }
+        fs.close();
+    }
+
+    for (size_t i = 0; i < rightPoints.size(); i++)
+    {
+        std::string ss = combine(folder, "right");
+        ss = combine_format(ss, "%d", i);
+        fs.open(ss.c_str());
+        CV_Assert(fs.is_open());
+        for (size_t j = 0; j < rightPoints[i].size(); j++)
+        {
+            double x = rightPoints[i][j].x;
+            double y = rightPoints[i][j].y;
+              fs << std::setprecision(15) << x << "; " << y;
+            fs << std::endl;
+        }
+        fs.close();
+    }
+
+    for (size_t i = 0; i < objectPoints.size(); i++)
+    {
+        std::string ss = combine(folder, "object");
+        ss = combine_format(ss, "%d", i);
+        fs.open(ss.c_str());
+        CV_Assert(fs.is_open());
+        for (size_t j = 0; j < objectPoints[i].size(); j++)
+        {
+            double x = objectPoints[i][j].x;
+            double y = objectPoints[i][j].y;
+            double z = objectPoints[i][j].z;
+               fs << std::setprecision(15) << x << "; " << y;
+            fs << std::setprecision(15) << "; " << z;
+            fs << std::endl;
+        }
+        fs.close();
+    }
+
+    cv::Matx33d K1, K2, R;
+    cv::Vec3d T;
+    cv::Vec4d D1, D2;
+
+    int flag = 0;
+    flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
+    flag |= cv::Fisheye::CALIB_CHECK_COND;
+    flag |= cv::Fisheye::CALIB_FIX_SKEW;
+   // flag |= cv::Fisheye::CALIB_FIX_INTRINSIC;
+
+    cv::Fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
+                    K1, D1, K2, D2, imageSize, R, T, flag,
+                    cv::TermCriteria(3, 12, 0));
+
+    cv::Matx33d R_correct(   0.9975587205950972,   0.06953016383322372, 0.006492709911733523,
+                           -0.06956823121068059,    0.9975601387249519, 0.005833595226966235,
+                          -0.006071257768382089, -0.006271040135405457, 0.9999619062167968);
+    cv::Vec3d T_correct(-0.099402724724121, 0.00270812139265413, 0.00129330292472699);
+    cv::Matx33d K1_correct (561.195925927249,                0, 621.282400272412,
+                                   0, 562.849402029712, 380.555455380889,
+                                   0,                0,                1);
+
+    cv::Matx33d K2_correct (560.395452535348,                0, 678.971652040359,
+                                   0,  561.90171021422, 380.401340535339,
+                                   0,                0,                1);
+
+    cv::Vec4d D1_correct (-7.44253716539556e-05, -0.00702662033932424, 0.00737569823650885, -0.00342230256441771);
+    cv::Vec4d D2_correct (-0.0130785435677431, 0.0284434505383497, -0.0360333869900506, 0.0144724062347222);
+
+    EXPECT_MAT_NEAR(R, R_correct, 1e-10);
+    EXPECT_MAT_NEAR(T, T_correct, 1e-10);
+
+    EXPECT_MAT_NEAR(K1, K1_correct, 1e-10);
+    EXPECT_MAT_NEAR(K2, K2_correct, 1e-10);
+
+    EXPECT_MAT_NEAR(D1, D1_correct, 1e-10);
+    EXPECT_MAT_NEAR(D2, D2_correct, 1e-10);
+
+}
+
+TEST_F(FisheyeTest, stereoCalibrateFixIntrinsic)
+{
+    const int n_images = 34;
+
+    const std::string folder =combine(datasets_repository_path, "calib-3_stereo_from_JY");
+
+    std::vector<std::vector<cv::Point2d> > leftPoints(n_images);
+    std::vector<std::vector<cv::Point2d> > rightPoints(n_images);
+    std::vector<std::vector<cv::Point3d> > objectPoints(n_images);
+
+    cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_left.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_left[cv::format("image_%d", i )] >> leftPoints[i];
+    fs_left.release();
+
+    cv::FileStorage fs_right(combine(folder, "right.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_right.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_right[cv::format("image_%d", i )] >> rightPoints[i];
+    fs_right.release();
+
+    cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_object.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_object[cv::format("image_%d", i )] >> objectPoints[i];
+    fs_object.release();
+
+
+    std::ofstream fs;
+
+    for (size_t i = 0; i < leftPoints.size(); i++)
+    {
+        std::string ss = combine(folder, "left");
+        ss = combine_format(ss, "%d", i);
+        fs.open(ss.c_str());
+        CV_Assert(fs.is_open());
+        for (size_t j = 0; j < leftPoints[i].size(); j++)
+        {
+            double x = leftPoints[i][j].x;
+            double y = leftPoints[i][j].y;
+            fs << std::setprecision(15) << x << "; " << y;
+            fs << std::endl;
+        }
+        fs.close();
+    }
+
+    for (size_t i = 0; i < rightPoints.size(); i++)
+    {
+        std::string ss = combine(folder, "right");
+        ss = combine_format(ss, "%d", i);
+        fs.open(ss.c_str());
+        CV_Assert(fs.is_open());
+        for (size_t j = 0; j < rightPoints[i].size(); j++)
+        {
+            double x = rightPoints[i][j].x;
+            double y = rightPoints[i][j].y;
+              fs << std::setprecision(15) << x << "; " << y;
+            fs << std::endl;
+        }
+        fs.close();
+    }
+
+    for (size_t i = 0; i < objectPoints.size(); i++)
+    {
+        std::string ss = combine(folder, "object");
+        ss = combine_format(ss, "%d", i);
+        fs.open(ss.c_str());
+        CV_Assert(fs.is_open());
+        for (size_t j = 0; j < objectPoints[i].size(); j++)
+        {
+            double x = objectPoints[i][j].x;
+            double y = objectPoints[i][j].y;
+            double z = objectPoints[i][j].z;
+               fs << std::setprecision(15) << x << "; " << y;
+            fs << std::setprecision(15) << "; " << z;
+            fs << std::endl;
+        }
+        fs.close();
+    }
+
+    cv::Matx33d R;
+    cv::Vec3d T;
+
+    int flag = 0;
+    flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
+    flag |= cv::Fisheye::CALIB_CHECK_COND;
+    flag |= cv::Fisheye::CALIB_FIX_SKEW;
+    flag |= cv::Fisheye::CALIB_FIX_INTRINSIC;
+
+    cv::Matx33d K1 (561.195925927249,                0, 621.282400272412,
+                                   0, 562.849402029712, 380.555455380889,
+                                   0,                0,                1);
+
+    cv::Matx33d K2 (560.395452535348,                0, 678.971652040359,
+                                   0,  561.90171021422, 380.401340535339,
+                                   0,                0,                1);
+
+    cv::Vec4d D1 (-7.44253716539556e-05, -0.00702662033932424, 0.00737569823650885, -0.00342230256441771);
+    cv::Vec4d D2 (-0.0130785435677431, 0.0284434505383497, -0.0360333869900506, 0.0144724062347222);
+
+    cv::Fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
+                    K1, D1, K2, D2, imageSize, R, T, flag,
+                    cv::TermCriteria(3, 12, 0));
+
+    cv::Matx33d R_correct(   0.9975587205950972,   0.06953016383322372, 0.006492709911733523,
+                           -0.06956823121068059,    0.9975601387249519, 0.005833595226966235,
+                          -0.006071257768382089, -0.006271040135405457, 0.9999619062167968);
+    cv::Vec3d T_correct(-0.099402724724121, 0.00270812139265413, 0.00129330292472699);
+
+
+    EXPECT_MAT_NEAR(R, R_correct, 1e-10);
+    EXPECT_MAT_NEAR(T, T_correct, 1e-10);
+}
+
 ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
 ///  FisheyeTest::
 

From ef01044b2f87af12b3ca1a708638dfa79e9e08ec Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Tue, 6 May 2014 11:09:22 +0400
Subject: [PATCH 10/92] Added documentation for Fisheye::stereoCalibrate

---
 ...mera_calibration_and_3d_reconstruction.rst | 42 +++++++++++++++++++
 1 file changed, 42 insertions(+)

diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
index 710672cf52..e020b21e34 100644
--- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
+++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
@@ -1791,6 +1791,48 @@ Performs camera calibaration
     :param criteria: Termination criteria for the iterative optimization algorithm.
 
 
+Fisheye::stereoCalibrate
+----------------------------
+Performs stereo calibration calibaration
+
+.. ocv:function:: double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize, OutputArray R, OutputArray T, int flags = CALIB_FIX_INTRINSIC, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
+
+    :param objectPoints: Vector of vectors of the calibration pattern points.
+
+    :param imagePoints1: Vector of vectors of the projections of the calibration pattern points, observed by the first camera.
+
+    :param imagePoints2: Vector of vectors of the projections of the calibration pattern points, observed by the second camera.
+
+    :param K1: Input/output first camera matrix:  :math:`\vecthreethree{f_x^{(j)}}{0}{c_x^{(j)}}{0}{f_y^{(j)}}{c_y^{(j)}}{0}{0}{1}` , :math:`j = 0,\, 1` . If any of  ``Fisheye::CALIB_USE_INTRINSIC_GUESS`` , ``Fisheye::CV_CALIB_FIX_INTRINSIC`` are specified, some or all of the matrix components must be initialized.
+
+    :param D1: Input/output vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`  of 4 elements.
+
+    :param K2: Input/output second camera matrix. The parameter is similar to ``K1`` .
+
+    :param D2: Input/output lens distortion coefficients for the second camera. The parameter is similar to  ``D1`` .
+
+    :param imageSize: Size of the image used only to initialize intrinsic camera matrix.
+
+    :param R: Output rotation matrix between the 1st and the 2nd camera coordinate systems.
+
+    :param T: Output translation vector between the coordinate systems of the cameras.
+
+    :param flags: Different flags that may be zero or a combination of the following values:
+
+        * **Fisheye::CV_CALIB_FIX_INTRINSIC** Fix ``K1, K2?`` and ``D1, D2?`` so that only ``R, T`` matrices are estimated.
+
+        * **Fisheye::CALIB_USE_INTRINSIC_GUESS** ``K1, K2`` contains valid initial values of ``fx, fy, cx, cy`` that are optimized further. Otherwise, ``(cx, cy)`` is initially set to the image center (``imageSize`` is used), and focal distances are computed in a least-squares fashion.
+
+        * **Fisheye::CALIB_RECOMPUTE_EXTRINSIC** Extrinsic will be recomputed after each iteration of intrinsic optimization.
+
+        * **Fisheye::CALIB_CHECK_COND** The functions will check validity of condition number.
+
+        * **Fisheye::CALIB_FIX_SKEW** Skew coefficient (alpha) is set to zero and stay zero.
+
+        * **Fisheye::CALIB_FIX_K1..4** Selected distortion coefficients are set to zeros and stay zero.
+
+    :param criteria: Termination criteria for the iterative optimization algorithm.
+
 .. [BT98] Birchfield, S. and Tomasi, C. A pixel dissimilarity measure that is insensitive to image sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence. 1998.
 
 .. [BouguetMCT] J.Y.Bouguet. MATLAB calibration tool. http://www.vision.caltech.edu/bouguetj/calib_doc/

From 1f94b7dfc95684d93908ec3c8c0332685c8c2269 Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Tue, 6 May 2014 11:17:10 +0400
Subject: [PATCH 11/92] minor

---
 modules/calib3d/include/opencv2/calib3d/calib3d.hpp | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
index b6d85a0959..7b7f92efc8 100644
--- a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
@@ -807,8 +807,8 @@ public:
     //! performs stereo calibaration
     static double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
                                   InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize,
-                                  OutputArray R, OutputArray T, int flags,
-                                  TermCriteria criteria = TermCriteria(3, 100, 1e-10));
+                                  OutputArray R, OutputArray T, int flags = CALIB_FIX_INTRINSIC,
+                                  TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON));
 
 };
 

From 36afd4ef55fd291d0948da41324d124aa2d3eb4a Mon Sep 17 00:00:00 2001
From: Konstantin Matskevich <konstantin.matskevich@itseez.com>
Date: Tue, 6 May 2014 16:30:03 +0400
Subject: [PATCH 12/92] added additionalInfo in faceRecognition

---
 .../include/opencv2/contrib/contrib.hpp       |   8 +
 modules/contrib/src/facerec.cpp               | 186 +++++++++++++++++-
 samples/cpp/facerec_demo.cpp                  |  16 +-
 3 files changed, 204 insertions(+), 6 deletions(-)

diff --git a/modules/contrib/include/opencv2/contrib/contrib.hpp b/modules/contrib/include/opencv2/contrib/contrib.hpp
index 7d881c359a..18c6eeb4b6 100644
--- a/modules/contrib/include/opencv2/contrib/contrib.hpp
+++ b/modules/contrib/include/opencv2/contrib/contrib.hpp
@@ -948,6 +948,14 @@ namespace cv
         // Deserializes this object from a given cv::FileStorage.
         virtual void load(const FileStorage& fs) = 0;
 
+        // Sets additions information as pairs label - info.
+        virtual void setLabelsInfo(const std::map<int, string>& additionalInfo) = 0;
+
+        // Gets string information by label
+        virtual string getLabelInfo(const int label) = 0;
+
+        // Gets labels by string
+        virtual vector<int> getLabelsByString(const string str) = 0;
     };
 
     CV_EXPORTS_W Ptr<FaceRecognizer> createEigenFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
diff --git a/modules/contrib/src/facerec.cpp b/modules/contrib/src/facerec.cpp
index a3d695ad16..20bd411075 100644
--- a/modules/contrib/src/facerec.cpp
+++ b/modules/contrib/src/facerec.cpp
@@ -18,6 +18,43 @@
 #include "precomp.hpp"
 #include <set>
 
+struct LabelInfo
+{
+    LabelInfo():label(-1), value("") {}
+    LabelInfo(int _label, std::string _value): label(_label), value(_value) {}
+    std::string value;
+    int label;
+    void write(cv::FileStorage& fs) const
+    {
+        fs << "{" << "label" << label << "value" << value << "}";
+    }
+    void read(const cv::FileNode& node)
+    {
+        label = (int)node["label"];
+        value = (std::string)node["value"];
+    }
+    friend std::ostream& operator<<(std::ostream& out, const LabelInfo& info);
+};
+
+static void write(cv::FileStorage& fs, const std::string&, const LabelInfo& x)
+{
+    x.write(fs);
+}
+
+static void read(const cv::FileNode& node, LabelInfo& x, const LabelInfo& default_value = LabelInfo())
+{
+    if(node.empty())
+        x = default_value;
+    else
+        x.read(node);
+}
+
+std::ostream& operator<<(std::ostream& out, const LabelInfo& info)
+{
+    out << "{ label = " << info.label << ", " << "value = " << info.value << "}";
+    return out;
+}
+
 namespace cv
 {
 
@@ -98,7 +135,6 @@ inline vector<_Tp> remove_dups(const vector<_Tp>& src) {
     return elems;
 }
 
-
 // Turk, M., and Pentland, A. "Eigenfaces for recognition.". Journal of
 // Cognitive Neuroscience 3 (1991), 71–86.
 class Eigenfaces : public FaceRecognizer
@@ -111,6 +147,7 @@ private:
     Mat _eigenvectors;
     Mat _eigenvalues;
     Mat _mean;
+    std::map<int, string> _labelsInfo;
 
 public:
     using FaceRecognizer::save;
@@ -147,6 +184,15 @@ public:
     // See FaceRecognizer::save.
     void save(FileStorage& fs) const;
 
+    // Sets additions information as pairs label - info.
+    void setLabelsInfo(const std::map<int,string>& labelsInfo);
+
+    // Gets additional information by label
+    string getLabelInfo(const int label);
+
+    // Gets labels by string
+    std::vector<int> getLabelsByString(const string str);
+
     AlgorithmInfo* info() const;
 };
 
@@ -164,6 +210,7 @@ private:
     Mat _mean;
     vector<Mat> _projections;
     Mat _labels;
+    std::map<int, string> _labelsInfo;
 
 public:
     using FaceRecognizer::save;
@@ -202,6 +249,15 @@ public:
     // See FaceRecognizer::save.
     void save(FileStorage& fs) const;
 
+    // Sets additions information as pairs label - info.
+    void setLabelsInfo(const std::map<int,string>& labelsInfo);
+
+    // Gets additional information by label
+    string getLabelInfo(const int label);
+
+    // Gets labels by string
+    std::vector<int> getLabelsByString(const string str);
+
     AlgorithmInfo* info() const;
 };
 
@@ -222,6 +278,7 @@ private:
 
     vector<Mat> _histograms;
     Mat _labels;
+    std::map<int, string> _labelsInfo;
 
     // Computes a LBPH model with images in src and
     // corresponding labels in labels, possibly preserving
@@ -287,6 +344,15 @@ public:
     // See FaceRecognizer::save.
     void save(FileStorage& fs) const;
 
+    // Sets additions information as pairs label - info.
+    void setLabelsInfo(const std::map<int,string>& labelsInfo);
+
+    // Gets additional information by label
+    string getLabelInfo(const int label);
+
+    // Gets labels by string
+    std::vector<int> getLabelsByString(const string str);
+
     // Getter functions.
     int neighbors() const { return _neighbors; }
     int radius() const { return _radius; }
@@ -423,6 +489,17 @@ void Eigenfaces::load(const FileStorage& fs) {
     // read sequences
     readFileNodeList(fs["projections"], _projections);
     fs["labels"] >> _labels;
+    const FileNode& fn = fs["info"];
+    if (fn.type() == FileNode::SEQ)
+    {
+        _labelsInfo.clear();
+        for (FileNodeIterator it = fn.begin(); it != fn.end();)
+        {
+            LabelInfo item;
+            it >> item;
+            _labelsInfo.insert(std::make_pair(item.label, item.value));
+        }
+    }
 }
 
 void Eigenfaces::save(FileStorage& fs) const {
@@ -434,6 +511,34 @@ void Eigenfaces::save(FileStorage& fs) const {
     // write sequences
     writeFileNodeList(fs, "projections", _projections);
     fs << "labels" << _labels;
+    fs << "info" << "[";
+    for (std::map<int, string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
+        fs << LabelInfo(it->first, it->second);
+    fs << "]";
+}
+
+void Eigenfaces::setLabelsInfo(const std::map<int,string>& labelsInfo)
+{
+    _labelsInfo = labelsInfo;
+}
+
+string Eigenfaces::getLabelInfo(const int label)
+{
+    if(_labelsInfo.count(label) > 0)
+        return _labelsInfo[label];
+    return "";
+}
+
+vector<int> Eigenfaces::getLabelsByString(const string str)
+{
+    vector<int> labels;
+    for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
+    {
+        size_t found = (it->second).find(str);
+        if(found != string::npos)
+            labels.push_back(it->first);
+    }
+    return labels;
 }
 
 //------------------------------------------------------------------------------
@@ -544,6 +649,17 @@ void Fisherfaces::load(const FileStorage& fs) {
     // read sequences
     readFileNodeList(fs["projections"], _projections);
     fs["labels"] >> _labels;
+    const FileNode& fn = fs["info"];
+    if (fn.type() == FileNode::SEQ)
+    {
+        _labelsInfo.clear();
+        for (FileNodeIterator it = fn.begin(); it != fn.end();)
+        {
+            LabelInfo item;
+            it >> item;
+            _labelsInfo.insert(std::make_pair(item.label, item.value));
+        }
+    }
 }
 
 // See FaceRecognizer::save.
@@ -556,6 +672,34 @@ void Fisherfaces::save(FileStorage& fs) const {
     // write sequences
     writeFileNodeList(fs, "projections", _projections);
     fs << "labels" << _labels;
+    fs << "info" << "[";
+    for (std::map<int, string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
+        fs << LabelInfo(it->first, it->second);
+    fs << "]";
+}
+
+void Fisherfaces::setLabelsInfo(const std::map<int,string>& labelsInfo)
+{
+    _labelsInfo = labelsInfo;
+}
+
+string Fisherfaces::getLabelInfo(const int label)
+{
+    if(_labelsInfo.count(label) > 0)
+        return _labelsInfo[label];
+    return "";
+}
+
+vector<int> Fisherfaces::getLabelsByString(const string str)
+{
+    vector<int> labels;
+    for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
+    {
+        size_t found = (it->second).find(str);
+        if(found != string::npos)
+            labels.push_back(it->first);
+    }
+    return labels;
 }
 
 //------------------------------------------------------------------------------
@@ -743,6 +887,17 @@ void LBPH::load(const FileStorage& fs) {
     //read matrices
     readFileNodeList(fs["histograms"], _histograms);
     fs["labels"] >> _labels;
+    const FileNode& fn = fs["info"];
+    if (fn.type() == FileNode::SEQ)
+    {
+        _labelsInfo.clear();
+        for (FileNodeIterator it = fn.begin(); it != fn.end();)
+        {
+            LabelInfo item;
+            it >> item;
+            _labelsInfo.insert(std::make_pair(item.label, item.value));
+        }
+    }
 }
 
 // See FaceRecognizer::save.
@@ -754,6 +909,34 @@ void LBPH::save(FileStorage& fs) const {
     // write matrices
     writeFileNodeList(fs, "histograms", _histograms);
     fs << "labels" << _labels;
+    fs << "info" << "[";
+    for (std::map<int, string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
+        fs << LabelInfo(it->first, it->second);
+    fs << "]";
+}
+
+void LBPH::setLabelsInfo(const std::map<int,string>& labelsInfo)
+{
+    _labelsInfo = labelsInfo;
+}
+
+string LBPH::getLabelInfo(const int label)
+{
+    if(_labelsInfo.count(label) > 0)
+        return _labelsInfo[label];
+    return "";
+}
+
+vector<int> LBPH::getLabelsByString(const string str)
+{
+    vector<int> labels;
+    for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
+    {
+        size_t found = (it->second).find(str);
+        if(found != string::npos)
+            labels.push_back(it->first);
+    }
+    return labels;
 }
 
 void LBPH::train(InputArrayOfArrays _in_src, InputArray _in_labels) {
@@ -849,7 +1032,6 @@ int LBPH::predict(InputArray _src) const {
     return label;
 }
 
-
 Ptr<FaceRecognizer> createEigenFaceRecognizer(int num_components, double threshold)
 {
     return new Eigenfaces(num_components, threshold);
diff --git a/samples/cpp/facerec_demo.cpp b/samples/cpp/facerec_demo.cpp
index 6402082e82..dfc15aa81e 100644
--- a/samples/cpp/facerec_demo.cpp
+++ b/samples/cpp/facerec_demo.cpp
@@ -39,20 +39,23 @@ static Mat toGrayscale(InputArray _src) {
     return dst;
 }
 
-static void read_csv(const string& filename, vector<Mat>& images, vector<int>& labels, char separator = ';') {
+static void read_csv(const string& filename, vector<Mat>& images, vector<int>& labels, std::map<int, string>& labelsInfo, char separator = ';') {
     std::ifstream file(filename.c_str(), ifstream::in);
     if (!file) {
         string error_message = "No valid input file was given, please check the given filename.";
         CV_Error(CV_StsBadArg, error_message);
     }
-    string line, path, classlabel;
+    string line, path, classlabel, info;
     while (getline(file, line)) {
         stringstream liness(line);
         getline(liness, path, separator);
-        getline(liness, classlabel);
+        getline(liness, classlabel, separator);
+        getline(liness, info, separator);
         if(!path.empty() && !classlabel.empty()) {
             images.push_back(imread(path, 0));
             labels.push_back(atoi(classlabel.c_str()));
+            if(!info.empty())
+                labelsInfo.insert(std::make_pair(labels.back(), info));
         }
     }
 }
@@ -69,15 +72,17 @@ int main(int argc, const char *argv[]) {
     // These vectors hold the images and corresponding labels.
     vector<Mat> images;
     vector<int> labels;
+    std::map<int, string> labelsInfo;
     // Read in the data. This can fail if no valid
     // input filename is given.
     try {
-        read_csv(fn_csv, images, labels);
+        read_csv(fn_csv, images, labels, labelsInfo);
     } catch (cv::Exception& e) {
         cerr << "Error opening file \"" << fn_csv << "\". Reason: " << e.msg << endl;
         // nothing more we can do
         exit(1);
     }
+
     // Quit if there are not enough images for this demo.
     if(images.size() <= 1) {
         string error_message = "This demo needs at least 2 images to work. Please add more images to your data set!";
@@ -111,6 +116,7 @@ int main(int argc, const char *argv[]) {
     //      cv::createEigenFaceRecognizer(10, 123.0);
     //
     Ptr<FaceRecognizer> model = createEigenFaceRecognizer();
+    model->setLabelsInfo(labelsInfo);
     model->train(images, labels);
     // The following line predicts the label of a given
     // test image:
@@ -124,6 +130,8 @@ int main(int argc, const char *argv[]) {
     //
     string result_message = format("Predicted class = %d / Actual class = %d.", predictedLabel, testLabel);
     cout << result_message << endl;
+    if( (predictedLabel == testLabel) && (model->getLabelInfo(predictedLabel) != "") )
+        cout << format("%d-th label's info: %s", predictedLabel, model->getLabelInfo(predictedLabel).c_str()) << endl;
     // Sometimes you'll need to get/set internal model data,
     // which isn't exposed by the public cv::FaceRecognizer.
     // Since each cv::FaceRecognizer is derived from a

From 349ff631a5d30e979608581adaf75abf7450643b Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Wed, 7 May 2014 20:53:07 +0400
Subject: [PATCH 13/92] Added sample of work of Fisheye::undistortImage and its
 description to documentation. Removed readPoints and readExtrinsic (useless)

---
 ...mera_calibration_and_3d_reconstruction.rst |  32 +++
 .../calib3d/doc/pics/fisheye_undistorted.jpg  | Bin 0 -> 86109 bytes
 modules/calib3d/test/test_fisheye.cpp         | 226 +++++-------------
 3 files changed, 88 insertions(+), 170 deletions(-)
 create mode 100644 modules/calib3d/doc/pics/fisheye_undistorted.jpg

diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
index e020b21e34..20a731f958 100644
--- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
+++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
@@ -1686,6 +1686,38 @@ Computes undistortion and rectification maps for image transform by cv::remap().
 
     :param map2: The second output map.
 
+Fisheye::undistortImage
+-------------
+Transforms an image to compensate for fisheye lens distortion.
+
+.. ocv:function:: void Fisheye::undistortImage(InputArray distorted, OutputArray undistorted,
+            InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size())
+
+    :param distorted: image with fisheye lens distortion.
+
+    :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
+
+    :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
+
+    :param Knew: Camera matrix of the distorted image. By default, it is the same as  ``cameraMatrix``  but you may additionally scale and shift the result by using a different matrix.
+
+    :param undistorted: Output image with compensated fisheye lens distortion.
+
+The function transforms an image to compensate radial and tangential lens distortion.
+
+The function is simply a combination of
+:ocv:func:`Fisheye::initUndistortRectifyMap` (with unity ``R`` ) and
+:ocv:func:`remap` (with bilinear interpolation). See the former function for details of the transformation being performed.
+
+See below the results of undistortImage.
+    * a\) result of :ocv:func:`undistort` of perspective camera model (all possible coefficients (k_1, k_2, k_3, k_4, k_5, k_6) of distortion were optimized under calibration)
+    * b\) result of :ocv:func:`Fisheye::undistrortImage` of fisheye camera model (all possible coefficients (k_1, k_2, k_3, k_4) of fisheye distortion were optimized under calibration)
+    * c\) original image was captured with fisheye lens
+
+Pictures a) and b) almost the same. But if we consider points of image located far from the center of image, we can notice that on image a) these points are distorted.
+
+.. image:: pics/fisheye_undistorted.jpg
+
 
 Fisheye::estimateNewCameraMatrixForUndistortRectify
 ----------------------------------------------------------
diff --git a/modules/calib3d/doc/pics/fisheye_undistorted.jpg b/modules/calib3d/doc/pics/fisheye_undistorted.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..bfdc9afd5cbd297c10bc43a969a84d0bd3a5091d
GIT binary patch
literal 86109
zcmbTdcRbr){6891lq#k6iWa35RaIL)t=dJ6icwTmjZn2$NJ~+BQxvUPyGCqchbn3l
zG>BO%F++x%et*Bm?>-*)uY2#w`~7(2k(~89=XGA=`Ffp;*^4E>bzMyzO#l@Y72qZ1
z1Gtz6r~@uhQT==VccG@C{#R%(U#6y^qot$!_g<mDN`K`F!xcI@hHDHAR~adVj-HA6
z8Y9!c@Bcda*Zf~A%ENet?#jO!|KG|*CxGS3B~EH_YN}g+ODt5>EL0c003ZNBMMIhG
zzX|{ELUoDyG7T+dN(@&i72ww?)2F7sM42qj<;#@X!Ib|2msx07Z^}HPy<ucWcgutA
z{)eP*SA-tdbg>(cVTEO1d4|$6aBy;Q^N8FQ6}uz;K<=Tuf})c86Aeu*Z5>?`)8}Sj
za|=uR*A8zSot#~~ynTHA`~w2RK88m`eu|1tPDxEm&-k2~m0wU;R9y1Cw5+zS9^TN{
z)ZEhD)7#gN92opLJ~25pJu^FpT3*4duB~ruZvDj_93CB?oZ`>U|ItMSp#EQE{U6Hy
zA9S%$=(<GNgUfXP=%TvhM|r7PF4NqUp=Et!L}%x5<JSETSJ)mWeXHrB7m_u`vcK{i
zW8e^euq=Z6N80~T_WzEs(EneQ{U5^qZ@N$bMrta`=25c%Kmg+F3qV8zzUBg;p|@g4
zX6Hl`eUlIn!x+E?V9*$!c6<T&m`}I>#LoaU1C81H42qQsIw(!x_?m<>aTu%D1;Ae8
z^a8+N0_(AYngb6_Lxe8?%SOQ$03>8|%8R6-JT%Df{MW4Fh>BoAG`|4k7vV%N01Pqv
zWMxBJRL@E?@W3=g1h#Ah``08inw5m0vId2bf!6-<TSCzsZpevB@88{~Wjo<_#P&uK
z3`oUll7FSXsfj`LUInZCuVzynHy}XnHV+?;5MiQ$!z<9b6XF7ZfzOeL(KR$PpQ>)A
zLwps5%4Rklccuu}`U*Z>wS4ctR2j&c#whGA`TA9R5!j(-6;>zTxgP~qQ%B<uR~S2&
z@??AchKZ}yZEAEx5u8BY<yY>k{`od>Q9h6i;b6U)uTV)my<@)lt<R<cpvdv|j2;`V
z#@{==@k0L<lwYT+PWvTWs=v9Dpc~I21AZeN)~5K~ytm^`X?Ze2emLmP1z@hcrl!54
zCWZ{E&igUkb4=W(Gs71wqpuA>NoK?5KHBrY+y^}&DKj9KV2-iu9W(F@Vo{W(lz0Hs
zJ!^g?ZW^*XGBgptQU0jHM)L~6XP<NdfZ<A+s(lA90KmpC)E5A0=26?gvu!g{ahrPi
zz);DYrKKalj<GVK6mwMN2gXT9w`nw?|ALL4EUFK$mXHo)o;XbfZ5?tpCOioitsv@z
zJ&NVszkc-<)k3wudXUGL8HuWpsX)yvbkn39<dpxL6eq~+R>#{(pKCWXUZNrzU4TOG
zVx%BIQ+)fk&4YU1Kp%36;O54fra%FzK92pQ=#=KK-m(_rFS<dq#<QX&xGgdMLzPsn
z=Kcs3`^aA)KQU;<^#ahlVbU0T(&)vIfUMrOQOqa)hZBw2e-oxVUQm~K`?>~wu6oK=
z7+K%DMY<F8NkIOY4{-O>SW8rq9)-#7W{@Pxa{1d|bsQ>AB;)6P+d}`F@+J;`$9J5}
zw+3WYRG`!UBAZD0FYA2Gp&Bc}W=8$<kf;IC?Ut4VMsg2YAz1UE|KVR~Q|{IUV828h
zq`Oa4CfxS-dJ5bEqQDhxX#pQ8`v>jkJezq{APtuY<PIuV@2-M51388-0D`kV%09ay
z<Vw+lMY9LC>_j7cXp~4sl*)f@qJXlkAzAig-obhNddJt_<m*mq{D8Slls6q=<@){w
zAo!uaw{MGzjsT!L9ze}?Zk9W8)pxe46?o4HMy)0cN#1LlhHAY<peI$d#1=0AfbeW!
zTp(Q}$kEMrPDq}tF!Qe9^UiuIV{QncS@fXVImS@?{TYlW?G=rGdF(jeNCkN{pUBf#
z^K$&J+U*Yaed}%c%RoFsOZAqub!CB51444Rm!<!{cG@WL#d`h6fCo#Tk&Q*tkXvu}
zUnxr(L&_bJRUfZAeSSCeu2&wD<<n3SQbBh66_%GW)Rc(Z|Kg?o%^vCXWjx>Y*d^Zi
z{w`a+D0#B=0+3f;)vmIB0pL+DTLhj3wOjxY!{i5}5*|e7;=2sxwe%pk6k%}@hW=N_
zdFpM~1t6idnm|Njv|kMrnx2KUZ+YG0^9ia&<Ia4x$jylU6oTbG5O?fDVft*M^9L*7
zQ1nCCF==b@{d`Po=?v`wHu$z336hR;jFk4#dqZtBIU`iIIKaF)HDxc9_cJL&sDv(S
zI>%Wfyb9_^&<YtrT>w5E5fW<gDSZ!j9(6^6n-hR3(Zm)~?FHb?eoXF_=BAc$@=c=d
zCn;@nqJ9Y7mShOQh0GUY{IOi{ti8NfO@Tbjp(Zm?0&dX!!)#=$ld-<gu{t$22xbnp
zF93ZW<%4?QhnL!QwWUICL-k|qki#oM6jAtMB4h^0k-9`Q#;4>Fxc3qG-H_6dKNkS(
z)7d>tOKWXiPh78?F0m3nhSf5{J5&z4`%r(^RCv`6sbkN0T%p>)yB=$2sdHe;gNBdx
zRU!^d$-=N@!+&zvx#Xl3UynGX{K8Dg{MYq6skj?<?as-JS!bu-J0lTu=seWv%I^z6
zRw)ih5zY|GjP!vG%zczCkkebyBD2j<^g<gcgBsXpL=mi3m8u%Q0tHDwLL?K;%3!P@
z<{M}j4h0FBL34C(kU27X6Nq>AVffvESp`e=LrH@o+tN)0b{5Ei*eru;UjVwZC^{p4
z0=E1kMC!%`K;(bMI7Lv#II4o!YvA2hq*<L=U3h#yRJw3n-(&W2v%mY}n^F2uS>ioK
z6`byKHulwV%~@AD=o3<|0F&pRG5uDl1}%#Vz_oCk7dblb-vp{DlmaP(a)SQ%pt=7B
zow-`(@AvGto7<cAnzp)VGDvA|BfP-s(<ttn;9FadB%2z7z6Hz)dKV9_)^4q;uGg&1
zJkPk!PM@+JDK`XW`=<2H^01+Lt`NOBw&y@p1>Xqke^t2P5b^Q$3Z~7`nC-L${$*u4
ze!GTXdjX*BfEwfE`wa27<#+A9R$#0UvPcu$0ux~kHp;>+n-uEmmL`4vkf%$A3UY^n
zPBlXC7l5vk3&2549%^G-o}498-Nj2;G0(icFl*%KkewNaC}^hgX%Z%P62HRVl3<y_
z#b<iReg5f2o{NzHY*d$`xsRjM#fD&(x{~d5O;a(VL>jA_3E`G^WrZXOlO6%4X56)L
zB%AAwfdaq8-@Lhu6M+t#^(yNNt2&A69u4g;)M&R+W@9YkZ7o`6{)leiT#pHEYRAfL
z^|hzW!3-Kyn?bzM4jWr-t2-J2D^?eR91yc+{0tJFC*?_DKjS5Kt0VHLDvp#DWEdh0
z<^#bGl@-Fd2ueIWW8FX9vm6tM)TBi33jni47devapmX4g#1@E_c)M<F$+$-FHLn)?
zj8h1I!|xqxrF=&FT$$%`hS382*e*Mda*I%<Lbr9bkeDodg_)gF?bO22R`+$ywBl_3
z!kd@kknde~Jif<VCdt^?SCA*qCF4W-9D@UwzHnR;CXN_xy{IZ7=;On{iB);_&X88s
z>%TA{8<6huiO-w8q!M`On82}c@Jv`zBdYE=kHa|xsJ!pPE8)?FI(Q!#=u`dW*!Bj#
zuGgccV{#Ak>ENHbT$On-wK$SgZ2gL0RmbG1Tj2gG5VLLeqt=!!S#*AIC*d0$fl}_V
zd=a-g?DHK&l8K}~bOlRRgiOtVuU-IHNw=>YCJL-P-Z<a_R{G2B_e(Qx9dPYb`0(q#
zz$C%FjJ9Ccq3SDEj^zIFC3x!K`zWg1N1b$E&qLttDk{9StxT4~)|&~I2z<{9rMnHc
z)oENKcK*ptYFt0ea{V}H-PmCY?r*QE)71P2ov!cb47&^s#(X-p&ar!Tl9v2ahN5uz
z(M3Kse56S0pM&46XNCMw3BDJAY<BiVL)w`qu_C~AM;0HPe9uEEGv(|`10y2Gk7Q<y
z>Dvye1@XOl>}Esb09y5^)9uB9@98=CcP>9E394G$eR==;pZLw!=0c!QicRu&$J;j4
zhWB^Ps#BoL%Y@8jR(aCV9H`Ru2aaG&__Q8%Q1v-i1?Ou_zaT0C*7@Pw$n4lj{rxY*
zONW#WwOZ-vAS-Y72(;uDUI*eYTO}-c*uJpZOhR%2?6m%CV}SF2^nfwD>yAB6o}(Wc
zINRt!)Vz51Q-EO7Xak^kbV&ZnG_r94aHv8*BBc>!i<gFIjtM>>=VrGO@}+F>QMKs-
z?ITQdAd-Bk8fEobe{RqmdLO$H9<37iCeH5A&UPTqJQpp)EsCp(-72f$6C1^rDqJSH
zV4g7KQeA!-HUKhuYTghl{j(sJs<YHb_>@1zvbMdbaWCUnw8HA<<A*prAM={YN2E*O
zZDwD!dJMOO?uu{6N3~}ro&3Q{<2zT6OI6w{)iuJuTKyd`1;BU=+onJnAJ6@YcUIot
zL~#Y9ioQD~*=jzbE-7-_#mr<G%QN?v-FIH3S_83=>CFApr!|sM4;Pdxp*jRBiVRWk
z9_2QFQET379v1ckyyZO>#mTkuLq%_?NiOD%36~=Om1--R%*n!|H*$A0^-RtZNL8Sv
zTvT2UMYlt&z%sO=R6*c@KZ4lB{zzY(KCkA_cj}DbV^M-m2=W{jcT^q@dE&NoY)MQe
zwIP<W>YU^`!CAqjFJ8x$+dj=<g!+sJkAOlFvOqGr7l0IfZxov3veg!_baj;W@A&*e
z?^p|eTl9wZ%URX(4V;2ys>t92H`=T=ZQ!~<D)OoHsf!~wC{Bia?3woMIv3kBj8p#m
z1!rJjsN(AQF(`7)u(mekSx3Ybuy@^nkOr`~cgZX(H8s1IH`jR#0h(^#KS5w^T34#0
z(s`IZ6#Q)&E(tq==qo+4a}??BT+@Tjv+auLVuKj4+P~5{VMxZ`2xz%xC;21KQs)XL
zs<2E_y0SW0V00a>mL1b%*`SsAyi>nflhtFx!^1e$wK%;}&B8`WEyK4x^}FXHsZ1Yj
zVpB(eY>~lzaUf%sk0~}|lG5vf@5b51V0?nrH;FJ^f2F;4t|@r+MBO(2%NL`>q1(fd
zwfGn05i?_Wb2`qq6+U4w<BQt&#9B`-Jv=T62$@_>AV%*Rx!d<zUSnB3DmTjtS{S%=
zDWLRdk$<lcKs_92*i#*mjDGRWJW4eXToBn)9sMo!@0_KuEd!Zu(Z31@@}1Y=Z(={W
z0PG+MK<AUIjHsBdx6xFRLNsI_Bou&`lsleeIa^uG-YX4mKB@lxAaBm^2~Hr#jiY>p
zH|9Z9qte{ap~8`hQOqw91HM$tCnou;`?9kk{5C{cyrCm-Uas}}=KUwa+WsVv<#EEt
z3qXTy1k}FL+BuhFd`~*h;Mu;<trey~fM&o+H9Ho#gTW%Z%c?pA+GncRsMl?EM=JM2
zJ<h=u{`M9v<6o@|8S#!!C$3{TQ1c$3(0KR({H#n5osyAkX1g9}ig9Dv7Fs!tIZo|s
zDf%izHt!iF9eJ6zEVQI;qAMXmoQk(rHUwdvUeW#acw5|!emm%yRONC=Yo=Q#(6Ig7
ztSW`TH&ki>tCv&vxE*L!V9-gZOU!SYW-qC=DS7g0E-V;h%iyFR<s;gj2&1WWlpEa!
z*2l*cjMU6-wielkLrN7zXTeQ<1TiN84lHSSY6^j(snEYY_oko7lqUvoEK#?FF_Brc
z3bt#wpz_OSl4I;%Y!E_nfO3&rZ`u}IOLV;WnTv}gY2f(YXC9xM;>qbrhk9$Jhb6?j
zXo?r}zAC2BHsGl&IqEguXuFlG&jrtX;)E~9-CWJ+Wl=AjN5~BN_*?4GwdvkRL=h!+
zgWT>*m}AR3ca)xg68f*Oj0JBmSKHI2ySIbfP8F=wO-A_66Dyz@UWBX8=f2+@m}*ue
zPFq@8wWFMB=KG(^G-V2p(EVzUQrxmh!d?KD<UdO0UbWH}w>B`B;+bC2k@^_t+Ow}{
zT;?0gm|Q-Hk=ypm5=O-%+(T-tP@~RliG9lHX;UvsT?KE_ExcgW;lmB<`z?pTUUgeI
zwlvutWH+E$^K9>Ua3h;aPdp8<V*($&7(#xE2hA7N`vtdHjckZ4Nk`%|9&nt;O=kzG
zCO@zzDF0%4!G{wrPp)ZLxR%+!lNbQ-)mzdROUUYH4GtLH$eIpC{|q<MoQ!=*!v#!S
zGOeWdzG=`eL{*amAG`9sTz0U}zQnR<qOmw;Z}VkQ!d#oWGsI5hXNBl+n^sy;oRIkA
z>R$%@@mIPw3(vv-C1T)OCC*9CKhiz|Gh<q1h6XmuW%ekRR6}XY7km2*79;&~?``z2
zmoX3U_VdPfgY*@_bl7smewxnXlFMBsWveD-J_2EMznmF0hILDkMJkW4kOH<$Raq{3
z;I<8)ca^FjGPcgg9|QmcQ+<W)c*AeLU|ue{hcvtZSOdK!?{Tk<-`_2TwmjTBCOTc>
zZ+0icg`{A`ciuY2kDzqkIK+#Yw#6eEqG@$RCjc{P^W<3@wn?Acp@Y(U1=ku!DM;8U
z;0tCuI@3UA;a0Y)y5r$jsbKMIbT8mI%?$pv?6btdzxN*PT{$k-@Xf=O#k90sx^3tR
z)2$A8mEmC*`Br=x7#V11;7@XyaNeX#f!g3DAuE+i&;6e_QqNb0IE0|lSc4!KtA+K#
z{9GJf*bZb#`qT`!`abYBZ3Dy}a%0{<&oGTg#H}+vZFjA?uvEJn&Ms$v_8;jh$gy2-
z*#My;JKxgJwcIe1*7inJ5ttK#gLOTka9iFp|7?S{+^e8JFTa${U|_q{SSAX51pZVK
z>SX;)u}i|{M3&Bw-EjUlx=f+qj>f^$gW`nfI0`mZx@y9^G-;q(XDd78_{Qf+_=E@1
zLz|XHo5}FOObpTKSZqs;5zkM7gN%QBEAqZpid)f=r4AJuu@xXZLUu?@c8C!nxHpxA
z|1_2nv@U)qsq6xDaYE6od2=*l|MLA!H4CbjAy^@Iu6{2}2Q{vUVo`88x2)%_k?Qm_
z9Y1NeCe=)t2eKr-d(^dS)078akIeVq#HXm^{ff6*hSz5DV7})u3wrl!eueT6aL_^%
zN6K^<7hbQo#rp7!_iE;s?6St_SX=18%UgGgrcg8bhEq+_4~N8754)z2D*QU&k7c?t
z-#3(GV(MRR^=)%EigGt;bbx&^uc~*qR}6QnQI}Rmeb>fZzt)KoewqG6Qpcu<Zkd4~
zpCiMG^b{$(gWj?<`1DrFe(;RPEeFQtGKjY=NI>zPgiW?-RBG{8g+U%<{iz!1?Q?%y
z@-DVPapcm8Fs)FLr!8NIs6H-oC8Dxgr`f(G!>!(tZ1ET&E<NLPnUM10^9$wJA9#m$
zu|qwgzCzJqTi)Wru|l?5xT}Ci4w|g_ygi3)-%m3~!`OJnO3Lz{VfngMUtSZ%m377<
ziLBcv6vsc%o%BG@HuU6+m8J(#D6bn4h*+BV16s;}!AA)bu&sPcA_tt}{y(_@yn~6K
zOGU0MMvVo+WDVwqZ%HY8nDkJk)kJ^q8=Sl1>bo{y3~9i-WAjh@En}Veo~pB;a+a7Q
z4_s!PKMyg+%h<jo4}&iI@FHU^drRNbcgM{h4+o|?Pke3OD8HAwCOSl2MoPK>*m*Y{
zNV(gacM7Jz15~%Gar#3#fpo6+<locvvso<ZaW9mCZ<W9i&gk0R{ZHc)1oi$59?1$w
zlwEjOTgi4VNc?D&CgfKhBk^ImWM6L0N_qHd`|8fKyb@~mm36MaQ#oH!!D;gs0HORi
zc6O5NW?nc9PSKS{CHm6gt`3u|BPOng+Qq_BN*|EFRQr6Ap^msWbprF+1+|(NfZThl
z34L`oI?KT!ZcKv@_8IVwh7)cRAEUYa(k=k+zgMMCELZp1@-U-y{2Z?`uBJ6U106|^
zcZ8VxNv4FjtGC?A4qWRmFAX`gn*Lc$Qn9A^U+>qOThTmtlgGmPWjg+tGOOF3A#iv>
z2okK+`wf20WHd$5A>0y13?48#<M~?+d%eiqll4N)A;nhTL+KHpyT@ASufSxP&ebnW
z?<ZTNWIAGgZx=+GWW|hc#Qg=<r^ghH*iY2E-+we#^?H@CQnw!>jX$N}DlNBDyyBxJ
zUFY8h(<3d<A<N8N?V^U0uak&E1wH8^Z<j+KUQr4@*t1RmdIKb;-Hrxa^HH>H9`6-^
z;igV^x(`x_@qZ_=vla&iQifAj*k&9o4D@C+>H@&Bla6`uaWj5n&*sm*YvArv%w|C4
zHuJ16s>jBo6rZ)VT4$QRuIz6g!PRpK?48^Yz_1`D8hyUSax1~JAF0^A+Xc#bJ@4=9
ze>_hzxMEk=gfO4h5$Wq~(m-93X2|3Zd2{)g-ME0}?GrOjAd|D2cAu4@Rpow2PSPrw
zpOgz#^(g`FTs5pm>%5k7la{+wH&=t<oznJUWab87zIa3*8B+Ok^jR){i2h@kDwh^_
z*yh{j_gaucR5cRdG2NK(@y2ygBD5s4<$3eEV7tL=ife#qvk88hc<;=ptSnrE>p3-5
zNN9bD0l4i`-}?1u?}}!sZMRonYb|B7xh6D}`_Q;M(p>=53p8}BY+9lvqTaf?6<pbU
zNPlBvuN**66>{P=NUb;wS(umW6=5|C^P~9<?S$2B25+4Qf3)<;SHE;+Io8e;mVi(>
zl`D~I5wNT{<H>Ff3J6Gu7jRy=8y$H2Z_*7nCr`#`)l!2ibhf&I)kUf%>?&V1Z(QBp
zkACqQH;>Az+uk>z$9tWbOa`)WH3q9Xo2f8lRvxGZdFkGw{cN2i)>$NUE7zWaQ<zxc
zw(-BEZx;C(vz0z19<luRrvW*vE4QPcSf<8C7pzEMH^-YiX`1wr_`G}9?FO_?=hW1j
zc<>Ienqv5sgZrHVN!f(aoV{xk2B!;`BXnJBoB5#AnYq+W3QRc%e^nQM(Oug+B>a|I
z=+1!Pk=*rCZm6KvhlKvDF`V%ZD$wWj>vv=k<U4m(N1Q+r3nOhv+OjPW;ixCg<!n-5
z^=*Mk6Lrp2%`cu?RIK$~BUJX7eIl~==a(wIXeT1y1t9bztV`bOq;;NGzt-V11)yue
z=V7}~J1r-tXP&h=aK(cwVdg;o4r)t(<kK91%WgjdqluIg8yZ7#(Ug0~Y-}tn`7x4d
zHfbm3Q2o1Za=KL{?hVrtal<TSV1k3k!Gx|~6=KD`$7+-c;)z;#GWL1)LsIk_w?bDn
zHRs1%ffC`k0ud4aw1I)*`-kU~6`yT#?tFb6M3_-4&Z0=Qydpo_I_Yp^teTp?SzqEH
zaDIG6gMa$&Pp{pNRb0htX|u$u_$D-siYsb0Fz_#@o}*-YZGDG%gccVoFm(?JlI9*Y
zdVxncZR#7_9OtyVm8=9Uh?>yoDRw{qRW$TiPH=q(-BkFcUZ>GJYxbB~AY?q`9zL9)
zXSqcNPVRdTtIb<jNhs@CFlecXJa<f$x||)ItiB5H*v>UMf!9a&BH%X7jz!}28Q^zT
zc62`vKVvkBeyc#}6u}Ucr-5BtJ)aK4?rV$@?Yvk_$|P5l=eu`gg!){2Twfo?%5!%u
z(9;6vU|OH>CC~9OE1J&UdGrw-$rk2&Z5^+kYSR-&UhJLkj#^^x9ff>P^D|5`35%<5
zD@5%q?v3l7H=JngC^onW2xkx4C~uqetvnAHnPOLBEA4ltfGIL{v7&bj(^Zn<6pHS6
z=bh|KE`zvty;}oRda>jrw~`-p3NN`Y04ho|aRG7LV4}lHD}oQ-_-tA_e!E?Fc~3;>
z>s_x8J4(!U7R?s`C$i6u13utc&*RinJzE<@)R{DoW8#SHf|-McCA+97JBqXZ#-Wie
z*-?u>Mb^I39S`YBacLC)#{4T-!o3U4{AOzJnYci3`Jx&SDnJ0HmkVq$H|n1M^cK>v
zvC0!Nt_u{3!7_L0xWBz+c$Zasly3%wt_AJL`e4-gaxFC#Zsstd`{6JL+c`B%-#NVI
zfIH*ef_C);EEGmnsY3VF3e`g^B1rdAtkR5aX`#`<xOln(KVwGWRjBQD%T!T(M#+M?
z&Fb4M(O<&MXHN8(gr^&4;NN-lAUnNk=2;|dbA|9>|2@m`0SyFcrLXx|5Ih~|7%6$A
zfA40TpM9=))0;z(AIBkS<sBWyR@#;|qm{jMo;G=MSp`Ut-xLslYXkw|Er%_8CJ&i^
zs4)L*g-BmB-!%JJ;bGOAQ}8V8fK3PHpRw}iiMa6Nu{O}d;P^mb4_gcL{=#-BD!|fb
z0&_!Afw$1pH(uuVB^b})n%UDoA4!GH&vzQ7EVlBTjoMYdCs3f&D8wJoc-8O&OY5@a
zgu1=5z8i|8#cVfB3LWBfgs(}~Rd{mcWH1msP0yEbnhn2aGUXj>;$S5U{^>!UZnq=;
zaG-0~pC$eDyduf7mVNmWm4sC~R>cFLy9R4%)ml<E@s1Ohy!Bh1GponL*YVY_oxo&6
zFR=05tk3;@la)S${D}iAgCrL%WmP|4WMI;bqf+CWGq_40#j1$Dw}yX8$CX%o6Ugnl
zN$YVMzXYG2l#~(C8(D!;cgCugbMq|agq@xO-7S+J+zbj~!><f$*SsDp4NNNAE7?UF
zC?Az_+`RxW-NE$&R0B-}U-jj+8?a#ZCd(<Xe%Y6wlyL3z*DEq9r!E?X8584$EC<eG
z-J_?EK#%^rUYqhLK~(N`og^Z{yT5%(%I!g`@LH9$qn>}p-@X5UIgb8Ukpg`9yu#7o
z<!V+Z8<8IkO%R<b@9fQLyJ!c7VV2~F;(T<*U`5`@N>ypQxj%gfF?*i}k7+I8`4cOm
zIY@*hoIRDQbN0PssrBq>$xk&+uU+67JNs##vx~LldIq(^liP@!AQx%;UE5uG?8FK>
zT7}c2+#lQ>7#RUqJlaCkwt?s+*P5UGeG8=^=oQQb3}^fOd03<B1T@QY%v8udf2?pO
znmxDhJn-cOpw4|QVLY`tWesvpd_1zT?YLV_(8h;#=FzmNb7T}LEn3gZeYfX!jFvyM
z#{Ff>8%1^8CZ&__<HL~TyA$<6ZUTP}$R~C@Tn;bGWCtBKxcCFAvnYll4ApUX;zg?W
zX6E*9AQ;UM<w`fSakpILrF|_&-n<w+Ocz;xmmI$;B#i?fT`k04Rj;YBisR|g34eQC
zkMZQ4X1UTm8uR-JndUFUe&dXG?B$(R19>%#bQhmW(`<sUad=PE1by@MfN(0*XuQ4)
zMT}o6jScct+gCU@X79vg6;|fopL}2S7lI_u$jM5L?e6Q#9D+-gu3tIaH(IcYN(@yf
zSD4?|cNiGH8uaPl0uYnO@D-<)Ene?3|6$iQ9fUOo%?hXn8Me2C&a6{?PJ|O={hXw3
z3LZ%GBAh{CNqA(pJnrtzLjM6SehB*KA-!=HSh428M40a^*(gK`D%*?|{Z!><Df{V5
z)sDvtb!2102m%aS`U?D!ZS7oVSd7X@(qsMJEK-+Zn?Y8@rjpsGiyJaSoXku60yEQ@
zWFx1Y-DU<>y1`!2#tR#TTx`g**2%v6F7o=t9WaxI&5y^OMb8(FYdws<qv{(uWju#^
zv(j@4t(~V);m7UaI1?{-zMUTn>}!5s6<mD>6v}M9Ck|7zZ{!xIzDjA4OAFA~ypiG}
z{&U~Kcc)dNfn?>lpF!jaxB!TCP+-nK*%ttP)|sWXkLGosE&vnv0tw)KQ6i78AFN9n
z0ZBNe1Ry7#!0{&eDDFzhPTo463xN2zjHmNWJ+~+I^^holjh9Un_H<dJzef0V&&>r*
zg{A3|Zo`kBkQ>4W{m>u&n9AThf;f4IQ$T)tmqS^-{s*7*Bb!A&73ZzV)zn2TryWyL
zB88PmT1aEzB#VIeFB1*!t0w54+iQ{{RWv+Swu9UmNL5!qHK!}5DhnPnX<_qR2v#Sa
zr0hyHUVoSAafSbKHF!sqg1{Xpf6LLwKdfu=hu_P8I1C9%TYtk94Mn-eXBjnY`~+Tw
zz0#Y#`$`GE_=S^!E|dL>#z@dInkcaVl_tpHVVdD8^AFq8{v)kT?1^Fl%;T-!UyE=2
z{8%$8x)&WSsk=wEsGO98|9Z{n%2X&2%li!&0qM%|MYmLV2RZe+RY&YVRh{w`l0^pS
z`LsDbjsRw94T&PpWy>)2>R-=uk8OJhaEbYtQl{m%>nNf4`-tG0Jx>q=DqbZQa<$oI
zq;c;&?X8bQuvos@?(V5j^le|e9X6gq@2KM(=eMiy#6B+4q+dn$En&M%`)4|@KphLd
z+m`2PA2X(NpZYPo2!oV0)q>l*b9>KE%6-$f-CUE3efz(03fEvJbM^JY+>N)UV}*u+
zQBiyj9$OPd`h4cM^4NUt8bLdz994=u?=E9yM-?dX<{CB?Pv=3ViGAbz*D$4a?G`GI
zYpR^NscTOs-@CmS``#RpZ<404W%y*^sFYRZP_r=3D5s;T<O3xKU?N>*Vp?j_#iroW
zQbMJ6&D&Cro3**6!}qT|w%<D{dOji!6T1Ld8VP`l0GcM3BA&{R7nx_`xj~N%I~vHt
zKOp4|@gq~Tmd*<rJS2-xm)<v9{X92$`p8hXu22V3x%I=w;t$H!!dfu-YK(=MQ?bcd
z+GLvD-nADAPd|}%hmYlS<tMAa%_%3)AX1Pq8<AiN<d%jf&_i$G)XJAtrI2R0hnYnS
zHqPnt*}vrL`opJh&#FW5sC!z%U`zr9Oj$zM0^4+ZopqK#4CRj0hQEJ}OJlr*3yyZx
z4a86AI1*-qVHQgKF*>XIQe$6k@!*HZ4AulI7aKl2m^Q(_NKB8=7Zmk+<ag=MZ>o(l
z6tlR_Hb+f`VmaiK$AGLW$&z{$S^h2hQAEO1r~0XLSV5uBP99dn5M|5{ImwtJ^Fhs8
zvin*bdtX);Ec%BoSL;_5@qBrd8N*+POrr*E3&m1p$mMST8RNVv8X$lqutGH_)nxn$
z2IDWsa%`id9Ax*R+4v2g=8Yq?9?U<PsK-~XaK*DR6wI2`ONag8!w0=VV-uWs9>z3L
ziO-t%xvx`AD6=^V9J{~a_%s&FpRbfvd+FYSiEqxaa>)=yM;5aqF90_1$)U%b394K9
zDul_kJFN<&JD$;`Xr+kU#>6zi>yX|K5R{=2=bNI`-qNrpw0B$`Ae3-gmRng=Nou|G
zV#W-3ee36DrbOO*3ie?<I?G-$y#5X1*7(*ur(NP;yN}G7-E&^}L;GWZ>m%Vn@Ub)j
z5;B^IM|a8V3NA4DEeA645KSnH7)tJy#e42q4L=-<bt&r5SQ6W|bu@T}G<ufN_xr%X
zXuM+C?QRIP#a@n^3p7&i6DM=Djf{(6NWNz5&^<G3R;1+hE`7r#;}son<H66*QcQPh
zwJeVL&toNWiGJk>Y_f~`BOdTc`00t|&_)bMv13HIUw&s~aTcR6Y%&jb5}H3KUF%p+
z-8RTMvjUs>`nCiEQ+8y?yYkfY2PJ89s8E-BVFG&jw0o*1TEsj|`<+aD+EL@qK0$GK
zMb+#wL0QrB{^M~XBc4~PF_?4jb6pZq?p&U5CuBIigL!NP(fYwOobhY5iA|qwy3P2v
zG#=gCc{}q2Wh>}I?2Z&xtl5WaU~At7vz$ZadZ-ffAt805URB0jcp>C(pl^9r)mQld
zaesafTh*Ap=GMAm8MjPSalJ^(!IX`e&8PN`jx>|qMz7H|4Zb_16)Ru#ma)s|edlqx
ziV%l>wdW(_FrIG?G^EP>k`y1QfZIAk3Eao?gVi!FzaY9s(5(4Ep7fJ2ecqxr<=NFQ
zVxtq$KU)&a#^kKkpVed-CU>tH>!cG^Zr_S&6#vU)`r&uA4RN|5$I;`;$dHfk-#`qJ
z<Z?QjyX-q8q|J;C2ZS`|KQo4pRERhmPibk5T>yF(*1e_qwsQrW>7DJq4FUs(i63Az
zGLfKk)$N8l)+;6>2gG03=4Bhz=Blo)goh&|j`exX4>7?H{yv<RZ%BU33pD|y+x`OG
z6aV$mo}bC{nr}LppF@b_6r4oWzet!0`S77Cq5S(Jy{uCu@mFd3Li(DE*|6+4$wc@A
z$cJb1y<=Y&$ZwQWsn1Nu_;});4kmi+8ka3OVv99pO$5(L&hM86XtZMzE&$JkorhmE
zjPFS$3|_8ADp+1wcrSJ<k1^;OtXAf@N^6B~mkztXOz(qp?3JeWf1`co1XuN)Mm;}1
z<L(Jb^ICF50;$R49h_~`M7otYP@knn`1aO>&20H+j%6190>)0-?tw^&q(h(W$1`>Z
zX!{aVsSx;m<OguUIL3A#*x!UkIj-mt=}6hcU`&j%GGu=A3O<lv-q_eAxn?MQUFB0k
zeOP_%dkQ4GQl5swtT{d{4;!ygw-f$kVJ~9p5U*fl`_Yyiv9u(OQbro-Fr}3F>vhRA
z4U&6*kF8zJ+h5EaP{Yu6yu!B=Orgf4Z#uSo&?mTz=vVHatz3BO$LFQ1X8i*6@M0Cm
zJ5pva1C;7oakHyqO?zGYdu7en4ViEL`}yvtZt{KR%f50RZfwk!_!#mv%w*p_@kYqV
zq#Ly^POZe19Tw>k;Z7<u#MpXFk3~ON(>}~Y%_Eg4X)(5Qjw`_EHWB_X|CAmzVC$4C
z$HBtrRTY*@?bnP&9nW1E<2{b5yWOKH5(Rt#Kv}Jf`B$rnLo7Aw+s*`l(fs_T0`t3L
zB0_)H5#MZC{B6)k0q)6qD>&M@(o(Nvq@+OW{sULgZ8>7ic8kwUB=k{0!HYYDH<?}{
zUurG@oSD3-Z&f{uQ{v8F@Mu(X;`3hMlfIK0d$UHWS9sefxkUXXL6WP@`-cO+V3s5b
zE*a)TmI{!-DKGyT|Gv=BAzBluvI@&zNCaV75o%-(a*r*qnv7=U@@P0&X|i&oOYh^D
zV?6EYp|#mP)l={S2>Wy&FPgVYMYtX^<_lzRvsgMBhXTKDWqp|W$^$PvJv8Ta=I%Aa
zY5&@*N@{wnscT<pSs>idxWrfKnlMwO%sgHMKJ&885dcx<lG4GpWfd6#rN&YBiUKA6
zz^gKE5JCkUkyA9#3jofZ%w&X5s?f#Zm6s{C+oV~R^hyoYDiuz7pRy$MT{8r|T$e*E
ztx)n^$k*NDDZb7(ySE%Y{U_)-RJJt0c3zADNp7*)q5eZBcea)9JVO?1<v=;4jTCtz
zFG)CAI)eWDnne&gp``tUmiW(~B$H~?fX*;}AAah77_*P6-QD#uxofmYg3`|wZzsvU
z&?_B8Pi=(kjc~`~>iKGBe?J4P{^$C!qwQ-vC{XGnd)M@_>K~>6voF7MYuk|p3uJ#X
zKdkFvhbqxn8?B2s#5{~JY?a*0^~PtTgZulC7~8r$tR6b@0>IJ1L>`(}W5zd@%%NNa
zcv5y+9@MzV{LwwR>~Jf!U)$`{8s|Fbb{A2F#Ch8~$~9$sTjx{^4yr}4Z2c~%oC{a;
zjOX3QOxIaJ3TEpb8=Wh3om5=?tY2Rd*K>!st$3>GCFqKo7%zaen#jJM)Y|thjr!bw
zmT^>AdMCEk<$YYrTG^=$(CuA}f5Cmdo2WA7tY$VzFL5N--Cyqj`({$dEXAlHXNMMx
zMGr3}##lcM(BiS`x%Xd9eO17j`pGoui+3fg%Q7w^wo;(TpW)A67JF9;WTt|l!>d|_
zqA7tg4$3OO59z0*bTL66d3nm~mi6wj>{f4u_2&Y~GZTf3?OHei_}SJ4faV4%owLt|
zztz32>Yy+oy`%gN@^*WgwTTK*ljjaWTSE41vAzDG$*vIB%GWz-TYuWUPBQU|pdJ{v
z^^>v0>=7o3!5qfdVdpas?ZUi8ed=agyw($BnADCnq;&R8*pH6C|6B!saV}-WT>!RA
z1hjPdDBfq>tuK|T;WdP9N)p(YV%XAW5d6ml;H}XGAT<ht8(q@sc7{G{h~I=FB<U4S
z*a>$i^->?5pz*h>cdeO;M@`<uqf8p8JVBYrEo3;cD;QJg#P?z5Ltmf*_xIc9N4MaM
z`SD>(be)<rK39YMU#gisuI7gvo1Dm#(%r~>_&2=sF+PN+(GMeRr<-82h9^&>QCx6|
z?ckbjYG`-I6qX#F%<`U9O!HFw`#{qboWYj>lc_ytgRJNu{<cr7AI_B|+7sZ{PHG!D
zHJ)2OZgYF|C0O6tr6u$i*_a*Gk@jJQ`T<9DgNHVB1GUdeE2ip^ly#Oh#Wz<`eZ}jR
z)84-HTtS4`a_qa;Zx$(VhE+oXK?ab#<u#dHa2J;I=8?$XGW8Qk1iw6gjp!;psM2M2
zUXPVn^SGon?=v|MV=`0}>pa-#7etAX)+^3S>RDhlGj8d*6<M2W$$qXXY6}9t+%u<D
z=Y=j{1P|lWN|#4DAvS_3o=(p++`jNeN#lj)pg)kfOYpUESbcP5mqkNPXMo;&7~jlI
zfozX&L>u_T+g#d-<9WR(H=adCR@4xcdgD9L!&T1!ev??Q=UP{X>$4gS)u+=H<@SyB
zI~pNa17!Y_`-)^AaYnM7=8RrbqmUc1sv||S3Z{0=_TxRiT~YpUleh-Q`+lNv@2148
zCwsR|L=C&s3-~CpiD@~pr(!3?`Fjdm#`y<#VvLMD44h7-=qe4}N`^gW<GF#G@DG^k
z=-lgg6Kb6m1ed>F_vV+HDR@lK-4IrVQr{=%+222J9F-bfP0CFJcajCi$ijF-!<l-1
z%OQ&~IrEPv;Avy}udT7Gba7ohcPP%huj+j{e)Fk=+GdL<w>eR{1((|N$P6ZgmoGxP
zK()j_Y7=cBhZVj3U5K?fuX1Z+W29^p(}~07oP62Ney>UJ8eJa(uK+%Y#EszV??8E%
zoD9H9nz2%jKya&bL~wVds5eCohWxeKI#}>bYV{MAeq<0m;~C2Bo0RxyB)AVIW6OB~
zfFNRE^-pSH-EKIc{#@aR7kluQsW%+&1F!nnF_0M~&P7R~@I1UW!VVGU*F2crrKB0K
z*Whu7WI9otJ(c=x;aJA0VE;8a?GQ#}w>|lR%h=H&h)c&quNC_TJ(~nuQ8rSu+U+iO
zzUw~45iwtl-DABA85Cmjmpg((DGAjy&Ujz7+psQ$kh>O_4}~X=K2)kB#ivcQyeVMd
z``#X0rJ`A%Q;6dK7~8+d;}-z-^<>2k5wsJ>aH1qp*_k%|yXxhnui51D#H=#{GFJ@;
z>eJUo`<M4xQqaU|=G(zm##txo_@BQZEc=-YZq&lNM!AOYK*MfIhClNPy5GNma*e`%
z84)ixkX_giDDo>Y5w=x49ENlGH10X2xl|CGFqelHZ0x7T$&=}K3pU5K1r9rTivEOR
z6z%Bkd}xD1U$_E~hfp1(S}544+?nGA;Bq-OvKNFGk^e{*!M9=%5pwRdP}wQh9qa0=
z8o?^^TcEV-52yDIz9+rq)=Ohx5EOn5F7iJmGb!VxzqJ;BST_9BA(Z%9qP-ISk(q)p
z1!N*Iz~$!^4-(x9K#yO2?)|&86qeTuKKv&^%}Er<WH}Y#R?Y5o;){0t?K22!JhCoe
zkgT%!oKMgaO9v6&NT5T+U|mDG%2UP3AR6LBZ2AY5Wszy=w{kk~cRYZJ?+GtwC_(?r
z1Egw-d<;z@&vFKe?$Uk5iz1c2|6a}Lmh}5JU*<f@nCsBjBKSgE;Gr`ppshObohByx
zIeW8X5X{EzR|Du_1(am7ELa!5_a<eHrTc0t@V|l-8zeU6gcHAu3ARK&!y<Y>KvF)v
z@yhs__h7|1JxiEy%!6-i?1I<*eA!8ic=gUex}JF>=E!<}=Knr2UO8G+<JF+v;;DqR
z*2ks4GHf0OOG@UTj}L)&4S*-EGeqYV_Yb)|t@wm*)se)v(-02$o4Ot)?wK{`=lO4*
zY6F6s&-~JMt!YbN-7Pr_!FV>4pI0cTH5Yck32vFT7~4#7#pe|t$3~lwM*1GD+s1jR
zfu=rDQ8!4a*Le@`oY5xh{=PEzu0FQoWyw*Am1X<U{B_1J$vU0Sl#+v(0|A3mMD_~+
zy{p?>j)!35*HZ63<;*3#RG#U{!#>-edyMQ;yOynw9nEp4ejC(W_zBnm`h8FnKZMWq
zNa#3rvlFU;NbnESYUN4&;+}<x@JEJ}{19-&X?2C!jEk6XDSx0=)ep1?k@7B%l~~3Y
z1#OZkeC-OF%X@|guM8C@(OV-$z?V9LvOpp~XZAouHuQ-)d10ceSkJDFR&;I4HWtm^
zM(43K%DP~s8(S<dlw_+F-_ygQH9w9n9n@OLs0-qQ+<xbx;$iY-CEur;03P11ndtb)
z1RJ?ScP1xXGa1Z$TsA4k8}CE`D@R<^#|swzOfl%kWadpK?4%H+`t04W9WOkxf5w&E
z4%uq8(%$1y_Gf>7W9|9YhwbMTJN6T9w`%LGlQb_85xveRw+q0D8Uo6vFF$7o6kC3z
z>bXc`ACEj78rUs}NP9CG$m@52{N_Bb$woEo75M7KqP4!ygSfSym-^^83kYZvBdbB5
zmF?nOY&iTHp-Jd6?Wynq<dqz1Q3elA@-sS=Etw^VIJ=+Gvpq>D(xXR_?klbG1Qt7w
zX~cS1X1eImFDQ_ozY;r~z<tk;|Iu;Rf7&pz1JFLXtdYE~TGPwBS1!{jI_s!*q^m2D
znfL;qv9zV)w*=X}uc(sgIEx+7eDXF~qLerZenRiN5SXhEEv4A2(HZF-H#yHE;1A9}
ztP3C3g~H}WE)iaJe8OAc9{8^eV}ktkhriq2f3jxfC!`kHp^B_j^5Me_9!kvB@A*8O
z-hVf5Z)U$q>-8d|4~XJjKJ9GvP3g~7#Fj)nj6JiAC}HzzB-FefK!;`#cPPj6C}cL|
z)|i^KKWw=%Tt%m1vmwhM)g3-LAzj!&Fr5*V(U9t=34QXRAr}O*%^U{ic^@<{9Ps}d
z9+FWV+_xyzwPostpMbu(&k@KB*C?m+8@|qC2@TjjCEuQ`sCYg3R!VR}G<4)jQWDea
z%xB3Klh?|;a^d?jk9ZQA&$5U;6chbj$n{`KMok80juI?RD0OR7b-c;{czxv^=!Uy(
z$=Hl*>G#5x`9q2nhYTcT;FSBZL}|R$iaYCQcvw%1#-CDAKDSW1)C<6-9B~Tzl=Ph}
zMtrmI=Po`5lW;w=e<R}5syQ8C_)JLp2lLB(gb!$`CXWNOOtI0r6v(%pRyJ(+KI>YZ
zcRz_+7~=a1n`c%bv*Z1+m=h4b8CN<+yn{veqjv7I)CTEu_=W+GC#%!xhzzwSo~iZV
z8kNQ%0n3)x9*wRW$w3>_2q<Fdg8;4CHOkt$;(b@EGbkro0ABjHK<N7+`4{t=n{Bo&
z6JjY8Sf7_*Cf|x(4_nrD=sJ|E^rUeRC{|#s0<qI}Bw#m)9NCX4eYino#>tn>iOTJ`
zgijqeDmr+l;4&2=@i~6MjN`%iday+uiQYH&U$zvmOld&e9XW?vY4$1&r<?j|{0)ih
zLMG&XN-v&7NcK!OIFSVHW1%F89-n={jN%pZFidr_TFdCmL<Q{XU4MC*#lI%sPwekH
z=Mfw!q5*3-ioXNw2jayLyY0)M2wOIvMb2IzlZp=i*);TF*0t1!N~zE043&hN5{4aE
zk-RTEn8v=uMt}ZevnAgVx&G_a3e8Y<-=BLB6z&IO1iePYfcQk?prY6fq?(|GOsyV2
z>x#L@zMy`z>JXLf1h5A^ciIV}Pl7FTVCBQ04^7{p%%UJp7%~kH_4$mg<Ya~xt8yb@
zIBPyVYmaiV;82WMO$tLeLqPaj=$(A>b<)>*5Sx>Y7|yIcVCC8ktqHeplTuQyZ87E+
zbK^#gTElS>$V7SdSe{axEtx5B!Yv7d744RMyz}K_3yz~Uy))>upbkCd!csovBGA&N
z>SbgZk$rN?9}@g#EPDoGp#a3=s(*4ME!NF*E6RmUZPh5}xj~;%SU42qM7dKm-Zbu0
zea)X^+TgO1Kn!29;02(n(Z*|If#s-rCIK(1S{>fzM-U<^;7)Ru^BA|tf;h8qcUbw~
zhk^R-?Ni5R){R~|w*=q#<v6_3SxvDWc6oFA=f=buEg}T8gdU9oVsj~Z2oF?Mv%UXZ
zpN32F*Ls?AYmCD%je;SRV6N{Sr{LQ0wi55yVKT1hxdoL4i$he01xti_=~CE^rn7zc
zI!IhLm=^K{H`;GV2bKObxRSu>Z`I>M>s97*asoS-nJ&+i?5iQ7$TPOo=o4SkcWBU3
z3U|CT6U5If{cPW@t^OLmdn~WN?T?<Vs=AMdZHX<`Sb8?-IfcpM$+LcBIZ~dqiZq5K
z?k4pU-J6lFbewOs)wn4j0)F$(yuHnXrCxqfZiuK%Su^*Ldl2JD9A``$_3}Wx{9Tg;
z7ujkejlC%afcU!*kaxfFPng$XfA`{262qYIed%Adw;#oQ7!W*P^{L*{I^iVc-#95J
zCAVG0q}&>Wm2H)Bl*V4m_`S}X6hD{79a%?#WqLYov2Kpx_3LqM`Z$wbp7eV*s?s_U
zqae+swF|&+i2KPTmNN#il#o{w9GeI5*)^E|FQfOa&-(P&#wjVu)ut#`#e7LF?ZkRz
zb63H-Z<sIDZ}z?SNr4QDhQBwvlA11W{5BJf>k#qxT85V!QqowQ)PUiddVeiHK77wi
zaOy_nGJis2pP}RPIAUX}p{BSt+|zqlD;GmYs!@_`*eiQ%wMf>AwdHP=)M`-F!dg-0
zuVk51`@xER!B$Y=emJZ_v>P2SpxlH-h7kjn(KjH|>6Jl}RXH9TyWti_Ule$G8MhNF
z3>B*mt?LfI-T3emi#F&-d;!hLpM+0=9I8=tJpwA@F>PdEE9;B@sy_s{bQWTPj-P4?
zd;(J>9{(Ht=iuJ`%g$<oV^zikjhUVNj@lf<8|vb;CdXZ?zKZ;%xA%tx(VEX*(#T}E
zZ<zU9mHx4ix;qIpdOp8a1d&z!G|*LOy08!;d{S=4199P`VowT6_hl$k)p_s&^_bff
zR%UkAs4K6N@Ku5262;Y05$Jte*;mazv|7w48Pp>CJEY{O?6GewmuZuk@)yVb;9!?u
zNyxU^Wjbt`)MK*nD)~W;D!j$ZZKEM@=w=s@7L-F1nCWMbVU(BXbv}~{h2SaZIekcy
z(pB%X4@0$BiG>s!f&yu(GFEMc#{R59-@(7k`Iun8p?$E+^=y$Xh$*z?-m#+alLinC
zVyV=&rrY`VA8XWn=IhHfDQ{$sfRi(8oYCGE4^+*Z3XLmbA6*6?9TU8uR}8uFX4rtB
zMhPEw;st=bfVd=rcf$-7Ur&wuazJ;f1CwTd4~lRR%_b^!JUv6;K|Bd|YJa9=i)WCq
zwWlG+2T~7x9iM*6Rbe#sM*@GAgqRhCz;6PD&M#9A!{eI-E#eL2$=6t)<O_iNMzN|H
zMYK6^tLUiZj?xW$50A1@Vwj~=l&`n|)FbQ?P-+WIZ{@xhP;ZyqBg0S7oz>yLp|`N?
zIfYI%J2g^=2`%>|igTRC!&1=SYQdA+D)P$`FlOg>&go+8x2O!zD{Ao8GDBcweP!5(
z*p!87gUqt3q;i|gk<*57?I%V}DWjrrle*?+-1AXXRSg@%T*Q?TuT6_q5{*B5ja0#e
zudf!(gXWT&+lh_F{~cI^WEEe>0#u52R7nAqTp0U9?|hji)BL*(BjP9~v$tFH^bCr?
z>55)?@2y><3UhW9Z3ESo=z?2L1)V1qh8+F|ZjOBdT$5iN%*Lu;r$2*5-?`~O%iLQ^
zl*p!BmBVRnFOP&db9`ZQ;VGyUuDE~mIiLpVHP9EZ(Swe)jE^bJl=87~-@k3wL0=^G
zA-LaP?Q@^lD@D<-XNpNjuj2Ac8XE&<FKfELl(isV!MRn(9u4fhY`mh!HRshtXA(-a
zKO8~{WObP%mcDkV;9$G97-@PuxSxD;40>a^IYZM*RqAZlt~HDOs)x|$0qM+`Dte(S
z3fl&5eT9v7jzO}=$Q4_PqNOIXG#;urVnA2@!9wq>O-v(D6!g@GyHS4W+H+Fw1;F_N
z5Q%`_f_UPodt+80?#%k^?Z?CIg=1EQ$+Qm716ZDXxhY)rA0`)a)}G<B_A6ynXh@~R
zYhcG>fspcladhSJQ2pOqsbovCucK^bugDTJsq9IzWt}2>NcL^!gOELhC{)O9Y?Iw2
z%Va6Lu^Yy|&R8$A^t<2RKl6{dFLUpGzt4HjbDs0Odr&h*z*Xg6qQt(V^CM`zZ+kl}
z9%Z)fVkr@WCDtyOg9lYd!BdHMMm{uwJr5oW=Skyf?U<d_nQS5kkmA8ot&g5lqtyKt
zcUd<elTfkxr11g$re{M_jH^x2vb~jjdKZV;-v?W?+;`u{&@RD%hBiKGwmJiT^t}x2
z2I*Y(hxpv8$$Q!`KDm4tkx44_&iz#LLCO!{6WNvG2sDW&cjj>+MBE1Z-V=K&ZNwWH
zXdlbofpecIsf>1hi*({&O=l<aAK*}F4F=*Pr{q{TUjc*|8_3)(eC^6>v5`9W_;;9H
z^!@yOR1i^_!p?9MM-uuv>X&@M3b4>ZCsumN`Q_M+bH|+%Sb{#i+w(p==?+uzVCq<z
ze1od&Ahnem*K%o|1vD#|k3vBFCgsu>gya}4gv7{Vj^H9%9NT#A4bOtAg4-wy$^-bb
zNw&|kP<&9DOy|N6rORw3?mSUwxzX@kfx(Px5upfvEf*^8mPF{tV^u%@wOez_PoS(-
z|KUN8PPh?u|6%D3y&n41wwO^2@r`g9HHUn5?Fn*VHR%-xecSZiRayjwWoK9Yi=Nrz
z4oTE71|*E}AK`UQtze~{MFOcqU->BpU1DB*i#R^s+R#C7=*tMA$K4evmU>@89MYe5
ztZl|DT0`k1s3@IYCGH*>0+z%Cd5S26HT3+KCf|&{d*~!DGQbf;F|>KX-B@r;YmV4K
zDk7PX&X8ERAj&Khf`{`4=H&eMH!FX}<{LTFRElAA5#va^0Iqc-1P`(uT=b4?F&LIM
z89N}x5Xiw}*rqMr?F4FuzBe|HOuGiAFP(Vo4b~Zk-}veMSy=jjvwz@nvQLovugXA(
zCj37TCB7DZHwB?^;yQ6>^ec-BT$P`PA16;<5&TEDBoFFxJV0Os|4*Y1S`5_wqhnAH
z3^2N-g@?aw8ZV*tp)R|To}F2Hq)^^TRd0u@2KLb|odJeOA+|A(#zlyClJSZ9zCXqf
zDq!0Ci20)C^NsaEp2FrGzibU8I`*$9c*8F$Cf-mL$b`18i}F1XMgSt)8g1yD=J&{_
z7#55ZTQvOqEL$W30!Vi>!^Q@RT*it0Iu0vu=K^=EnvZk!X#35lo~m6znOp9p>!D86
zR48v?S^um=^MZ%khC^=Xh-bu;u+H%CQ;Y9f0=g4sPDk`g^>>4NW=1R;SK;X0_LtOr
zm}A~M;fpt89Z3=~J|1ot*WX-jZANg2ITKMUj}2T!{4LBAal6v5O_RRF(TYP22o)R)
z2lfP8oT3LK&k9@dyp~%&DJ28LigA$##QxEBK@#TC49QBcx5E4}T_Ev|HVod_)yBO-
zyDN=I##!t$X-VsIQHq@3ZU5!JrWVK3()gqvdabc$Hq$0G7?1lx>x1!o!JNFNINImb
ztK?S$EzF`%2p}f|QK0`3h{1a+#)3=`s){B6E`uf{*!(I!-9h8!nXfLDPra?Lm8V?b
zjYAR+ci?Oo{8Y}Z$&?lolKs&VQcz7hx@vWlQ9K=Uz$7H;eg}ine3SQ`U#`({F^qe_
zWW?E^;_lP>q@7`3a&5=87#-oRXOQlSqQ5g|kxY~x5F;kgMv)*{i2q<G0QeCJ3v(q!
zvw<RO5Xa%eRtH0aKc*VZA5s}Y-(Bi-@keal)nyQSN#P=i(wH1c$BVrN!nGvpZfTYl
zMYXWO5qs#g$6E)8RbG$_wuH(G6m?DMgqK@wT95g*a!&@`cH{A$1`&9;>e*T-FU6f0
z)BQ|-nV1~s%f^W<=$G9U8%E_f8@TcXNZr0FazzzFb)z|=h3xh_>;D84&)ULgs(Z3G
z{ByOT1=SL5ptLjM4h@$_?3+g?<|LK)Ed?52e`yGq&H+ht_Va7?3{{h&Tw(`$pO4CC
z3Nml<RFfksEl(_jpOb5Runv}6d9>2C9gj8~{rwq^5sgHj;coj6B?}+$aU}ta*KXW+
zizk~VF+-M3CS2JNVrl7dSF<1x-{3GLzwty4QwjIc24{f7plR(!N|)34QD;<WP-6W`
zCTU9}3Tmy=Hbm}%K4vuC|4$~wnU7|9YUU;WB(2pnZ%0yd?Y2>R@>6+qir4beyKg6P
zgorSs3TL+z@#V%7)iu@C{fauWP(ypYYZ7v~px_3D4)XWAt*b|4L~l38#EJC)4VLY0
zs5f{LaFhXXx2X>9SZt9N-tPnmS}d$mI9HDhLC#b9Sz~iuz0*`@-6!wnwYwGvk%VS*
zTt$KF>*Z+Z8eJHJCOij2e9AUit^Q&me*CiMi8VURUnkz;$Y=8Nv(f;YK3}A2Q+joE
z<4chQ!8cO12W0dHtS<9c4?-B2+F?j2-Br<$?)$avM);$U`>S?)FxzJ(>i3VOurMj*
z2cJi`ajmzssP6r8cT?z7v@Iyv7q<;3cTeM5bx;qH4*r>mUWEf8uZ4f{YM*&;ug6wJ
zLpwjHQEN@mC1;EoebiLFtz1%OCov>S;yNt-JsCY)&r51oDq?YGI!_-ChvHg;gqPgg
zpDst#I=U);*W9brDO7l90xk!xBHmTil1sck5gM$FpTFBUa9v|L;?n5K{zu3BqM6M~
z(`};>R;2XJHU3MA&s=TGi-mP{gYO#OZY`Qk1<2tM-|8Z&)RAh9MOsa^*!l`HR6h6W
zTN`jws)uTn2B!PLw>>QM8XTHlj`(Y*(OAkE@aIFg)4m4!93cU}5TE2ND%%5e2JOh%
zes{S$YAI!6IjgEDt*7$a)$DW=B>eYrg@3Y)?;VdiBouiC!AEhVHbK<_^RWCD9VkJ!
z{lMC%sfVm>DX(8dfW}M+SKI%@G&wS8{0H*UU|a{;hbeh%fAoIGseF`38eiJ8@fT0?
z=Tul~5CZPUdaFT*{n{`+rGAPFfN~^4@W*kXuEm5cJI>)sB}>kKbbSvv9n%?_70iUU
zq)?APD<;j(pFGR+mwvE^UBFQ|=LTquFyiVHfU6)-Zn~Q$LyWEt&K_^_bMPpfg)4qc
z>rL*x)zn>@BGkp`@+rZ-1+y4K;UOITN18hrmZRLjfASf0<-h+&L3q!WukrYaG+}@%
zFpk_UEYdcHzVWBKuym#`B;dASmQ#9PGo<V$EYa~5VG}!C-BPq`@J1;luL?rcM1g_u
z@;^E^7!TzUDX$aB8yMfMu$J;{z3G)&#k7&TyLyF8jUFd#BmZ@Z$V}<QE9{?zk&jpg
zB<BLW9(`VHlLVsz=o$2nF3JaFyiZ5`lw<muNIz;r%DF{X0@E|b<vX~ybjXKCh}yEL
zK)cSFjR5m(k5ZO8T$&7f@v)PLh3Qmcrq?=6BB}2_wXEDHAI4sGw)24Qjr)l;(7M>z
zCPFbJ$+g~Q_+&S>b131^<Dj^E0|t;No2RlsCOLp|BfA$A6yyp6>G&KUZ1!Q@lv7mx
zdQ+W+&)mk9?jElT_A<p*PxF1!jX$T-{Xy7;f*C*38=)GQp>nCQi~=JzofpXP(0894
zB;;O=1;vW<$i$c5mUe#Jo?S!u*Ib?;7Y3)ywSnD|$gqPSAasfN3fy|aE8CV;)*JYb
zu81)cMPX_~5!opG)Nkc3b5a1NWTsj*u+HPc-PaoTQY~$0;xMK)q>IsnKszV~!%X6=
zfCXZjG3m}%lBiaQt<>;-r%6Z1tCTq#9WU6anihY?-ei@Yiu%4)*LCurWDlbew2evj
z7^PNXoJmzihb{!SpATjPW^1xx==~(!0-&(e_2Q&};wNcCnAgz4I~YyFj+L-G^<a^$
zYxTw=N)YJiY<qqcXFgt8Ir@+8=gT+JP^ZU5TV50%cRUnBehv66pkip8)|P?$opZcn
zD5o(Q#T@;~<q_GHXeCRz+al~&10y1qULLH&uTdnx2l0lc4vati)R}2_k*IF-($38z
z>~((Il}TI1)8En+;1`}BvOAIuDF!2ZrE(NW!G#O3<(#btMN~9u%B|4dEe>`Q3KIS8
z)imbeVO4c^(t|Gk(H5Q<t&xQh`%}*k{hf%jwHSQ<9Pc;=pMa@7j+B8p=Y-f0lOhSM
zP9(qM1{Xi+_%d{TOwW5gb&q9;oa!0&^9(L3ix`u96bQKSc(BYs60^Ynq2`5tnNZhu
znRFqqq(sQfHh1VB-9Z7u%*f1%f#B7dH*K<b+#M@GyMhD@%<-?VV8+9~6vlx9&0h$E
zxcw5g=^e`%wwpapZ#11wv&&>&LB0>ZHsu&VxrK^F&s@@@t*s8%F58|jIR!!W1wyDh
zoB=V0kR+PScvO?R-#Ui#68vV<vN-5R+r_ceJq_uj_jKoxx8|!QyH8-w@>A0b1Bv`P
zNz?am6@{%m-5xK!qzIs|Qja*&Q0~re|D3+ui>uHBLTj{An^UFeQ7UlNfviV4NAe0+
zVlDGpOuS{S_&$M}`^qyK4xB4Z{6}}Da_#<B)Q=wwVv7v}5ZYkw8Nh-W7Te;pz{VD}
zN&Q+rJzYiNYo|(`oY?-Pxlo)Jz?Rp!z#`+JL*{_G(S!Ibncb@hepLtiq@tNy*?%v#
z_lUk0O_DwcII0I1KLXj&jeG^;0<cG6B;|05)|c4|H1?gGwaK3S$RQtBWa3w5mG|0W
zGha%aygx@;<$*mn{B$1292b%+)M&77S<>f0p=-@t{YYr^)l-uXX1hXBp4gS`7AM`B
z!f2IsTpSg|%aKT!do&65-yt%xX{^V6o;7C7mtNFI{1avu4>|m+JqMdiZ<h6&XM^EE
z@1VC({=Ioyl4K%9cQdh9?rL=u27f&YLpnX>z{4mU@%Z^I++w_8z%S^fB&==qC6Q65
zwuXj=<lyvIJa1IZMM#6$v6>oQ#TBDRVRpD}^AJpu9O7G5vem{lLL`8Ll}%EUj$Oz_
z>8DSQ8VnlE=Kb!(y?z`-Db?e@a9-JI7gUVtU;6{=nYu3dvD{wVb<XbaXtzt>e)^An
z;0V?#;6I9TNa+R-`}D-b!x2O2&r;X<U`uAj8~m+F76eG-*ReX+(J#+U_hzL@UNj~g
z8TvpyAXA~eq4F_ag|d05^B5iruPe+vBH|>7MlqgxY94XVu(D&F$PTgaww(~!K-hK)
z`P%#j?MxGGb}Z@3S~+4!wnj@d*)aa+DQ;*faFywEnOQY9uHdsD>=W|JdSanlYImU2
z1l}BR3!1(I`yv0!4?vQb_O2UKPznnl9n^6#>8fRas}Q~DQ;kQ(2Dv=fG~84zmO+g(
zi;{9ZieLwgZh{QXQ}}$Rkq!e>^cpQ%uZ(DP*<_sVSlg`NNc5DfMQ9CdHhC~48@Nql
z`2nJ&8aC|02viIWIl1P3z|)xv;cu<TNv*Q>eLf-|@Dm><9WQjl@=eZ!k#m3R*GuUy
z{rcda)7YUeD?3&iJtvR2zD)VtgYNdKIiRiU>$wM`jH8Uh<Er_v!TS#1v9@kAdrcF4
z%mbhTxxhGllj^Rm`_y><%wg&9qz9~7^{7HM<-acBF+~S&s>=5hmR8N9<01*LBv3cw
z`&`sHAHBM0)-<VR-NPNUZ*o^dcZaP3b(<JN;rKDoK@)ecUaYW}g=)_oDHQh{o^_J>
zi4bVzwHQ2osd7Hqq|4=@!tFn<7qy`7Ze9#8gXFh0Nl1Na9PH%)C-8%}VjI^H?3!#)
zuOZQr#%`^%n`NnY!~&XX0XleCCnm|NU?dRP-gb**JGNAzSo>^Undh1%Z-$eTnW$K*
zo@6Uh_qa*xJBnX?xdJ`)aM9Fq!Sbxi+D`=)QOVqvv0aTRh30__m2R*c9j?%p^Ym%9
zuW6kGl!&{ui)Cc(z$1v-=C3;lj#?($9Y3o1+?f57TbB9SLD~%PG<2BkS1?9~wXl()
zp<F~%1Pww_#Zj~%Q3oNmH{_Mvfx0ybmv5%7_q8SbFSUQlDO%Zv+k;n_(=?DB>a=!*
z#wh;N)@fz4oBG}F?_YO^^mlfJjk9TBsXnOHzkURIrkh=lO6Lv;-$r)D`@TUJfE=&}
zK2HfG)i${p19#gM?%WTH)F;2(&{%48<;?rWMBb-eJoG`)z%X5ti0aIXtJfpsac-P0
zA0L_Lms@HoHu-%(m_ltazt3HFiZj2aa7M)W3#uLe2`NK@4<~Pl5;JL>&RgIN_OI^{
z3Bn`dcG;|ig8AZ0^23wkeaGP8>^hs%EmL0$4dj6TlfsG8g!2RR>vo{7?)*hkc^(_`
z`9Hb@wK}8aKVEpM{&gE+bG?cw5Y1r=tPcBn(hO=s%DyK}P2J4Qc4GgQ{1i)P(F*}P
z0K%^GXvkJ30SQ`zF!}wXV+q_`gvDM%C&@DC;$AH`TL<oXEH$M6qYHWa@S&>Ay_5eo
zv>u{u%HBANo{$>f=6#SNVTCYK<$XQsX9g3TVTp+U05%%yH1&(R{l*lAA~MI32zb?R
zYA>2XcBaKZ`su3OG#(BpEfna^cR~2B+){WMqfK0Y0qDte>`z*emB;6CU-&>6>u&zh
zC;_1~Lz%vim*2?<nad!89WXSRetHw02C4fVDNhmTz$bDWMP?2xRv0bL>^~^C0e;MS
zM%ApZRWR1;vRu981@YfInQFkQp4?u9Q+VJ<pMn2`M1bgA;qWGGzRS3Op$=Kj!BvNP
ztp9Yp&o~$|xa40+DXrdleLIc<qNIo=S~rpd=EgQX{b;m}9}u-8<rEXs(<_$eGU-CB
ztv@t2UAW==J5h}N<FvcNRm;Z;T8JQuK4`oqMe)#cAX#)G1%WuQZqBecJscgRs@ITV
zSK%l)@zq=<F0a}m@m1E|s}}d$1l6CZ-6N+Zg**Yp!FdAz1E!GyNEet;xsQ7a0Q*Vo
zN$fBihmNQvyKI{q=h-i|WdgQf-tG?c@41%Njo~`{qt|e2+9lZ3+%->A=FbfnTqaEV
zP*TtYmu%JMIK)B;2X7`GF%IWK;y*xd5(nBLZ)p-9qCffJ(G|OjvAe#T*4w(V&J9<}
z)B5;KV$F`WwWgSoyy5Jj55OxULcM@S#l%InxLjCUgw4uDbV<ebz^kB}ocCaOrQ<w`
z-~w??vyyU^6zW}nYS{Mm+v9fR>L)FA@ZxKRr?_QJmQ+DfQolF0q5Q-oK=Q+2b3>YS
zt9x0Gc=oHEASVaWG+c&y_Wx8YkzQ>|$X}M=?90H<v>Ap^?Nd`5cjBAHJ-nWLW_zJ{
z8&aMQ)Uw}{yUQ`*sdNmXT&5>PhTZ~y<A2Xwl&^fKBGHolzP-oNZ?lK{F;X5~%BMAj
z4E-pCG=I9s_x;4Tbb@BOh7W>n)P|jRVd$ABTINj_(fH+$Ah_>!k$-UNOyJT>neeb_
zF3{KNcc88@|G4{c97DgPlDQ23kPD#J_px~#EuutP4>m4TYaxew%JhcRM$-rGzH98!
zPsLum*VdLM>42S$2<1?1pa*PTS<EwjBhJ4=@ZBl%;f`Fqin5|6?M&$2V@7B7BvY+J
zF+l=c7EhB-QNNX;x007(3ajdur5`?gnH;%S|D{{{0JgA85r`$s-qWT@0<jAkyhzUA
zu=3*_7&klHcq{IIf9)WSXfn-RBh@Dyu0n!j&6zL8o_eHUNE^A2w{lIUF!;1Q^gaRy
ztMSbAE}1!*lO?9ua@fcqf^s;6lqG3R*a)KlOAYC@90bl&0@BqH!oRmW>3qZnc##DL
zifsZp3`SphqFtWO9l7T`c29frE<kSCq3W_;I}@AaD6U#v+J{+tRv^-tck)eCU3Gt2
zm(p~=Q-oDmzwEiK1XYu`WavRG2VVhp*+`TDH<fPxhwh<C+yid6_5?z<t6}_K7&P7H
zi<Wp*#+9O?*1-C00pf;GNJqW?P~=|jGjF>{QV8KvIuY5<(=_+(A6+Bb=Gyf>qpK><
zhIIa?SLIp^P=j>s#-CaowH{R$1X_(B228u^JR;jve_dY@>f3kt5m;HS;pHgic>PZ0
zK&KZVh55-jgx)M`4h+6|H(~+gxOPDSp?ikWgGl(GB!$!HNV9dkg~QvY%*Go1OFN+H
zL2W<u>n(rkZFn?9FqHit-9_gFFWHDH)A#@BZo(bo;=7-Z*;T9mR$@vL`pcQ*W9%_d
zQgS~BEx^LI2^a7E+o~(R&?=?TK^{||RYRCvGODK@8fm&9oim0`^wN4X3?EfIdc>b{
z4`xMF9zBQ=ec?*}$vH!4WyZqCvy8dViT9|l&Xr3)AH9AjVYIsSOvCr{X;lp4<(h0C
zzWD7LV<Szv{o|(cUh7t~aoJzYwc}!jIHE+UXqd}GY9`Wgo(K4S3+eJ~@>7^Bgl09@
zAKGw%&E~e3D7knHa3#qfp@1Ti<>$coMfpUfm)_BF9`@dhpjVXsubY7E4KrLib7jo#
zYA0JV;sWrf04VCt<s`1m>AP9Awu0R7yi9xYGW<4TGWS|0jVXw%v;p?`X>>qdM-xDs
zs7>zT|1k2$!@<?9c||wFNamz`uZ!=R!i1@6_d;IhiHCCkOBFdvt*{<+1rq?G?i5HZ
zk(vi~%9ya;7vs%IE?!sQsSWm?bbFjsk!KigxAD(Gi_046ZF{Lr%}`As1Pp|e8@TVv
zBxINEt^U_`tQ@+jOVo3<>JFp{_jwwaOxnTvm##%tM$*cQKd|Z1f4~0GnR8dwQ!dPk
zK8N9*+GZfQ;fCa?%taMIgM5?nfb{quo$LV{>-^lq`GYZ!`9AuMWgUW<)aPmsG1h4l
zVhq8V!fCMRhk191WC3^<8RA-Q5OLaVjn%}ziTU%bAI$mfA1%(wlD5Ij8Bi}PT6;xL
zEDa6=K6Ra961}E2twzzT_S;DWrNh3N-&mYawUX63i}AJ7>*rR!3f*Fm?xx$etlagX
zUrz=^F>ePFVE959;};R$twT#C2?6Bl+>~qk`bGrin@gqy27FWaxjgXm7l;ebUy3+s
z?+#zc(LSJ0;_LJ$9DJtvkx{%IVea3ow6Bl7GRg)}v`dVwcjk$PhAwO;9*aT}w|CSR
z=l^Jh<rTv<^Q{$+(>k2b?!C;_ie(tBKHDY*2D6rS2soZA+egGK$Q3QjgL(>dpU`6u
zHvRFf<;MEjx4*@6?>U}fw<Mga7Hmp7{8VdxA9hZzdv98sO_D9)AKmH3CtbdD?`E(2
zXEx!8|3QQS>Q{A_jnmpd(O>VY_;{vza?L=Y5C{?e(Fvn`059;Zwkd!ZVV+mi<h`8`
z$9>u4f?9ppfvtroeK!n0Z5y}_hUzCmPX}wylmy<Q$tb_c<W5CyMPvNTyg@xL>JKUw
zPBa_<1A4m%ShDhmdIDw@K&CN}wh*Rz72S%PWB#PF(9jscxbGq8QgrOu>FE%0W|bE;
z;1vraJ~NuqSyWGb5JK{SSBLkQ2qz1*WiSj?5OhFHRUGW{A1!{Tz*cRnsKGIUi_g{Z
z`8$S2b&Gxs@d-Q*!$MO<^tIgutlde>KQrxak}^I{dBzmzpsZTQz^kl=x$Z4R2aPN7
z{p4GUqlHi$N$@T>M`ccn-XfA6NOe_p8uL@#y$G`u97~R($suD9u)!9sv*B`)B~}~8
z>AVwzk5VIGyV(}+A#MN%jdd1;Tku=ZN_CzEmCufC)8*7}&%i}-XC0)`v1K!D5M+DJ
zIo|0mIFFgOW-2S>p`>J+ScdV*iQj3xM{!r#lvV&eL&P?B;Kw(7ycZbut`*ESRX~5U
zy`>2w+go6Cp(3SzK`jA`C2A_IV;OVG6p=&$2vO?9gvOLe_M{-FnJ~9`_E5DU(Eqqe
z{;h9=tmEL<+K9OuQ3>y_CR!oo|E7G1zQ47UnkA`3R=A|2PbmO1{d)v+xt%oNLAr3A
zm^qFU7H&y{U^#-0@Oj=~H|6+`StXi&zZna!%k1=uyK)=&gw4H00_O@&oQvI+Z(}2A
zebD*e7F;YLODX@IJ6tW^HINwFtScdee>V1DOk<&U_<no5#yZX#;)ZNz!MHL2H^{Ef
zTr6sNeUb0Ru@4&NCX9U<Q-|7`+Y^vDA9%yoO<V<10m_3zsoy|Zxn=wQaW7sEV4t(<
zSL;xGCBz%Xr-@n@J$eO9JCJoL^u*+(S4=@riIHn9DV!vhiD^Zo=?68CsB)DR_gsvf
z+EN5-hIGRonkmjk*5%3gNt2m}=k&IJ5O#nEW^9rcNm*}iJUsex$;(R}A(5_WRf}{z
zGN?_8NiQ9qk%7a#HchHC@{e{lpV+_)M3X<#((Uvdn_pd*-MT?q?~S>w2a+asb-|a-
zQ!V8MAR!w6Ew&ULjT8H9DCb*q7goqZg<Y*(Ti&b#VmG92vjl@KesvExe*6E*eYXCy
z57Pa8lyb>avFGZj$HNSqi$jWpO)O`UCPcr<`?#|A>9SKmbY+Df>!m++&j_i*i?hOW
zrYDiwrd*=ayp{5c^IL~OBsSd~N1e3Ss!Yo4)bqYD1}NWLC=-UvoeVoFdfUex^Qh5l
z-u36_4{=6|j}FY&?Z#<0Ms_O9mFpYp&23Bh&whbu#?3R|Fb>(WA3K1327LuGw?M#n
zQPgHG{sFs9;{-hf`;Tr6p4zk=Tiu$%l=tBnwE<?B0iu0}6%nk=rw%mim%qpU2=d2>
zdgGKR1GM2>2Cs{u4@N!O`owDr{-6b4{5KFx73I*+RlaWag7l!zH%Kw41ot{)z@gXC
zDC6smaPy@{W3D``Gq}~JtzcOjS_}r?XHpBQ#VNsr&WxhGQ<BoDxRdhrl%^_36at(;
z&!nf_WFs6?6Ea$nn?G@D<*<#+HR(Uy)U?v1&XVy0^WR``K0*h6Zkp6~d4Echt@Fms
zWlZ`f`2a`X&*W9;#&}+rf9lm}NWSiaWjGnhe}x(@NN_5>JCSQ{!1RhPB>1q*`?W@C
zi^JJAP)Ht8iI~VP+KM8pXu_i9pJKc1Br(>kat>D>c{pgU*gRryH;H136v6kixlNfE
zTQ~%ZZn%u)RB`6Lc!szG6fGo2b9Z}P0X}ui34;PBx8M(Vo+IbGttj+BBH4@L1mv%<
zx-TLVcNRYFwhNcZ*2%y&KWLd8prp}5o)pW)iyj0$d9=`d$7tEfAg7cGsf1iTv2b9t
z`)Qi7b##68=`5IYQ~_ziE+BR36J7&`@1KL<XhN<=ejy>KJ1EXOJp9qSBG-iNjKsN(
zvMyITi(JvfCWL|;CDNnCqE!7&AZ9TjM)B=$`Ado4{}jVUe7~~;c-(s4))?{W^bshy
zSYV^Kl8Pe!1&8DNTg4l?*XL>HrFG{M16)+Vhiswsm3!20pH?T7I!IY0VJVjhc(1Km
zqH-4vO5#Ql;M@ZXtlYa6x|OJFwdf3&7tV<+-rBs;??u|vawbp_ZQ{swJESXH?A_tx
z#oXp19g!7TZWYBs_;ZgTK{kL3QH5;xhF$}+>v@oHB#=Cs+IlD^VK2UQ!djaaoWWFs
zz^7u)q1bkj5Ib~QT3YQy@6*OI0xV8g97ywZCh@#e8o2xzo26uX-@Ti%WbY0VZ@``W
zU+^giIwnaeC%#sf7;h~Hiz;e~1iSjNW&7_1eNSp9EH>d30nr6@7bGuwrAHQ;{=Hjw
z?d+`n{OJ|*(NqfroX8Y@T6TpgD^Nq~`lsxyk>4@>$k}dHnVIVpL;WhSO$eqchI?>G
zE#*pNPJ&+#BfXgSbLqW1%Quhd&IGD%z@(@d;QHDNJx40q{zQO9We5Diu+0LeMwc{8
zB}%6ht7miydv03=8QhJY=1@rdeM$4G9x5diL>d>4KqDdLGpGYNbD+5-NFm2owz5Ch
z7@v8BWO<rkJ*v}T|9WKUwRcjh`;ifiH4K-C{RNLd^;|^!DPPAuXHPzS|0wGp-EYyo
zO31<hh5sKN%4oS~5fh&+9s_BK*BNqbk(^LR@vQ!6W=lr0pxFRrEMDnHEiuMQ`1&YK
zVw2s~s%s!_Yuv>H@yAQO3f=NVG2~gs2guFO4ual)-b~ttpMK~1uY~)Ksf;FjQh6Xf
z3AKt`)S+<q9c2RVYr5w-JbiU-UTS?^A8$gOIY<%RN0Ls7NMYI#{4!Ktcb=FYxY{i&
zDNsW&8Ta&j59XRi;}g?;1(-XSSL-26I@?IH`Wlpt$oe;Bao}CH^1Fr6iaJ)<(;s2?
zt&!JUioE3e&s}3=&q|`3x(%lbg@Vf+0lEwg@c$NgGSs5FpfZv0qoVR*KM$tQYbART
zhEEW_o4kObaON$9b=ZrIp(+()pRruvxl{Wv4!NB#xeg!Pwt>Hfi6VqSKvR>wJ&*zR
zY|!}=atcE(rw{850d*AE5yKjWT_vj_+vyS9w1N4{it=0!7UzXG+Qf*5OIA@)ooUn4
znp~Z)_;|ZhJRN^88{iWn$J>@bg5pC_kv>uc#)NT!05V3~8U>;ENo>)(p<b>F(-myS
z4I^?_hZU`#oz-JO3B1S=zIUr7bZmb$8Tl$X9?sF9M@*p@kmhP?!hjW=+(XfI{wgDi
zf9pJrIfQ6J<1(UfvUOQ_OJ+I}1l+wYPm}%|kovd^zW*WcNy`TVw6L-qY+lR79<jJA
zEeZPmz1ix9^xVZ)OTF8T$)maMhYmE>QEL8_JBZ?Lw0)$lC0|+FSWUh3yK*S3cBu_E
z<pWRWeqWXH7{b87i*lj9#khc0F)+8}^MMn;pJE@4K4mqamhpwh5ugo;eQbVQSFGUG
zSyWyKc_W-UC6aMB-SV1W>J3gcwY~D9_nHUS^6Hdag%U4N=0@ZEvxNd7=@JWh-5>ep
zuA*mtdFN@Lo{rmBZmcc8Gh!A+Ud9er75+Ef+lzcV>~@-VH6B-0<e&laxk(}E?}AfK
z%~XZ0vA-hbW~2B&rp?S37(|^U<HAh~g5>k)WpigSQfT4N)sT6pH93B~yn{0>^!@jr
zGcUBC4UZz6qY)#)=Zk@K;x7+>Z{g^sz4GD?sgZQY_<-lPkXFa^90nW@oV{YYnH^-@
z?=Bj(m$Aj#aWo7mk##~0x)@Za#a=--zi$0JC<8;6htfdIU}feaA5W*b!h-DK^$!&t
zA`1_DD32J-h1?%oD=C41`rOm>VReh6cxvVjO?*um>T4w5`-Uq3GVlfUGY^nf-bzAT
z2^?PWs#R(eT=rjuS<%XrJS+@wzLOpVr%OHP%i0~#pAIJ$OOh0B4E}LUSs>hWU*?dz
zjj5m0Qh^Ckz&6~rA9a&+)p%j^Zqe5z0zoWY_W+i|{98RXZco9jplm?X*16O6+*;FN
zzl20`-}?mi-z$w-7Oz1Q5Teg3fe!m3gIcwcp2tjDt{1d)lK0~>A$Dyaz+mFkQqyR(
zHK^PNf`4%87;}0E@5ffif7U!eoe2`IcJ5!D%N2kgTE6UAC6yRAlyMiPhccyDbD2RP
zw5C*51*u_?M&|wTa_tG)=dtUKbjKz3Ii~x+k1EWgV^)eNJoyCDSc~O?QM9=Q{qLbg
zwVl#Z<Z{cG!X}7ce19l%#1Zv32+zdWLn%85S<Itc;aRNT)*zL2wkeXl;?+eLPSmxE
z^?a`;7Gbid1h?a4&Obc4W(vn7XEe>zBiqkVcwV4e^a#5g8#R6}M=C_B9srnZ_lrY$
zU9yumt!(o?A<rN<jYu7YfVVAIUnOEXv(c?Fy{ZpE^Id3fbL^?bf%A9Qj8ogs-2MtD
z{{Gb!tu1aUNs3R3^Vhzx{lX|BJz<k0V644D#{WnmK%&i?l5$A5$QH>)!%EH5D=oQy
zSl%f0$8*qDB}5#0l9N@~BO~EVp_<eNnmk3v!q#WeD{<E$Ejr52_4(W6(^Wn*s&xL8
z_$A$gU>e=B2iw}+PMX?~I<u3f(jRxdq36bF5?@1vYLdGqm`>7;)`6Vwv?)w2B!R{i
z%0-flqWBRKJ*8iGI~KVSZ&^-M%*d(_8#MQs{VH|v*L(k5*qu0S+LmV7czgDb_~?$$
zis99i<k7Tj>O(M)`p|g8k~=UQ>h9MZww1ZFxoXq5;zs&m%8`4e2|+uBRi1&X;TZg^
zQG%Uhg9V8pHuU^LvGw_MPiIV)4!MLE1esyDAA$5V)&k;kZa2xOE6nGK9f~`xK+6Tj
zkiPssh513XSV!31vEt?SO^ZJh<~qx$Z8XuO11vegtD~)W5}*uVBdjPn)ICHZ+^2Z6
zMymwb*=oNJj=VWMOK%yiKlzb*K_?jSS!AGaDIdK9GNnNkDaDpl*z$&j*LSmU#DP+g
zaTD$UM)Te_b^e%6WE7Owg79b<g${Zzy#Gf~7t!zo`4=Of3%R2`b4e|(moimjx4g>-
ztb&q1zg73(aa85sH;<a4w(1`nk^gq$){H0uHw(R}<&+@5@OUo<#USR9u<b^wKP~;_
zcQJ{y$L5)S8UrS8tm~OJS&DV5DSgk7%+=Y?RC25}_~XW_W<;yW7xOi$pGtWY6I88&
zf3WHfTm&IPz6*>9s+-%@5Vxn#WC(LNHNea7>BCG>D^ojNmSdkVl3Y}E#N;WAA_l9T
z?}`_6-nP3mmQP=4G_j1`g!hMj`OBGl%amh~<>(6&=_kJpYk$%7Dd-V;(yP!P;-JoP
z2=4C21>{+G=&iAbYI5nN?kqDW{@ibD>PIdz{t0pJzyJ~f*xgum?Nit<m=N!L{@nWZ
z^V}~xd3{_~;bgFTc8&&sx5jL7Bn%i;X6}nM5nB^XZmLQ=v%lPv7e+z{pCF|7!ND_K
zYN;<cmdUdP4m-ub>jX1tT%^#a@LAU>zlt(951*IEM%NTlSxItyllrw03MxzHUP)le
zUqZcA<4|*fvXYM935dz0iK7z?fw}|&?W9QPKPrbw<f%n3oM`10SwTY57>^fwM3NC-
z7x*eDI-d8I%`Z&ffo;D{rJ0fHlQH-eBX--$dFD`=!B+uqP^E6QwpGHL{Ms<m1_=dL
z>cKQ6ivE>n8zp!k^mgDcArpg|p>Up~SNC#fb1hP;#X{b{*F0&smhDeZ$U2~wTO%I~
zX0NxLA%=8e*v0oK8Ve})%}JHB9fsLU2mwyqfgv&e$OF(?7+`a4ss|;Nfsn^FqaOAx
z=v<u6e|NR6#c0phRWHP-q8_8o>fVY;Rf`Bp$qmBJ=vm=-q+ogSXOZnPU@rpFa0kvr
z(Q``%sWBz7WFt6gH;Zi@{ta1;iK7^UFCdYcRQak+&9(mKT8%rFe9`5NT#<NV?ybEC
za!ln8p`N_~mkp{82Il*xK{hTY2njZSVVYzk+8?Ma(KIg4bxdY*ODN{Ftl=MB5HoV#
z?aYyb8E;pQgkbTBWEYJ1+Bs5o$q(!SfqRf+gU<O1d`{CThG?XK%Lejj%;0fiwr?D`
z!|`6s>oK*nHb%jk6c&4ox}2|dE6<ar>c$8cxvk~E!f4ItBrP!o*n{k$VGn)=?J4LJ
z#%mcRlRHk+Pz*_j!Zl4OimQJ|(J69Sn>jz?`_W<g!1>aAMOYDdi#gO<Kgg8)!b-^k
z$V0wyvy&$td|$HptMjSY^7oADPr48Gri5yc-5_p%n|ph5Pc~w<YzoXwkazsa;Lsk)
zU5jLw(mMb6qfAxhy~gl{)Z1HqDTnRb#v10I()y2KE`A0aLC#U+jW-v9$>tCFpOF6=
zC?A{GsdFrn*@OWLqjBG!w@3U1jNbG~8yzZ8!dKxh;|al`$X5cGvBs@nGwoputpWF}
zC$2S*{Iwexs)XD_bbx0y+O>8zGHx?l_ZeRtu3K|wzcR5txw&{l#p3s75@FLSS2)&V
zDX_P4>$P6b;*Uh7utz~zMn;3Oia#H*7ynB6><QL*xH7BgEUzG^>Yg57_(%Ev20^pt
z0afFPaI_Ki0GggsY#=sr{Q+7*p)zn_xc>OLv(sds?KC=ST9mc?l5`=lyH3tS{kvDz
zMbYdMlnajk!`(hn_0Y4W&=-I?*Vl~U(AA;~wexejUiR2+_5~`e3(0(_)x0O6^|o^L
zDc_|_H~-OXtP)Yn*0le1Xxh~wq<P~&kEMrMll2aC`%{=w&{ZQa*hnbQZDD)rLPH{Q
zROP4W<}T>Qf&x?m798AeP>X_IaOV|ISL-}dn7RAh<19uKKl7ltC^BQ%XesF9u3vYN
z6GHUyotve@l0qaa{uZd#H0tZNDd<7p?QlcQtkCel*>A)G9GL`e?a~Z6{+|QDoZfdo
z(C48}9jp&y?t+1$Z{!~xZw!e{>o$N>MU+lC(<qVac2MQOoQbe_%^%rsdeUfIriRHM
z><ieM8bqtx3JYFkr&ueQiT}|}eQwsNBrEETT{pkx(YI-uYM5VP$k|}yJfA&$lhdF$
zAPkxFKXrTiODGJIn1|k`rMs)7=@3~&AEKuwEgJrki-c-dAo8?{II1rYTd~P6*+F&N
z?8tykA+ARBnvclz$MX;P)t%^DzI)RATP#)O0!Fru4Y&sBh6!!3g)Pb=+fUVxQ|pf9
zWtZyHT9ORzvI~ajiKQYChg_mJdc<p3Cy8TSO{lpge_m8Rc(<vT^JxV6Z34cbD6+qb
zI0M?ylqVE(m$j*r`C7gLxUo4feMBPac+V=wBE;R5u@R(oD;xiOVh}%=Mw4)Pv`O~$
zJfaRb)4#^=)h+~@Hj$j;eM^>bO0w{tQ73MDmrh20MSGP#J;8$ajnHRYXo(VoY`DB#
zRH#~B`OtD+qa>;LFwwKG!#tYsw54w3i*cIl%;woMJI})51K3V*2(li__AVS}1{4uk
zlaIgEw%%bUjJ!H?KJYkJT?agHZhv45E&IT%K~loHFS8+(YLjM=mDZ1FMYh8!Y>Ua$
z(+l$v6j7obcow2iTXKbs8~<T<dg+wLk55wfMC+3*S-#R&WjoZ1E%+p9g{Fb=iN?AF
zY%U&KDuLb1vw+p@<BUzykP-_T{W(tzKn=rzapVpFrhTT(qjN*Mxi^Kd@rTxb9D(*5
zE!J4@p|q#a4#VO(Kf<WN(<z#Dm#$M<0I)A|VPN{JHp#iGXN7+ELB5MUtXJ<P?DYH_
zB-*QM+k$q{WYHQPg*oT7*qYpR>Wh#V_hY+ag$)Z%%M$;Q_=0h{JGMq}AtmYA=OYv@
zaQV~%kE8J1#Xi7-DgX#?H)`d<!n6=fJAr<%qDG%UqdfxW93Fi?df0kN9*ZPe3``j;
zUj1N8c}6<__9?PYR!T*2OmmHeJs;7CVkP~f>qhcXj2c|kwHD_&fC%l4sf-G5zdSOq
z(s)!q)2iC@6Kh51PoU>pWhj(0l{K1z0CyY=$nsnHq$_J8aCBg+iPX)Uj3*FkE=JGH
z2c8G+aZia9Y95)v-NfT1**O6vkcRW90K0$s)H6mO&1=Au6MvU@!aV2P@oa!9!#%aU
zE%60%*OSLt1OsKsL5+$T=ff9pBz@YSQ1DrwKLuSzF!)bu2R|=(+_fF9q!ZQfR7X)u
zEZ<R>!&INHW=yZ?c)CPPUu|5U=Pfh2|I*)Up{Hkk)G6)$&<;8tTmK_2r15s0c%758
z<luR}-Fre_KfU-3h_!^6$d*TGAQ#KI)96q_qDZs;(nYe!Z^B1ov*g&a*jZWf)Yu0j
zf1_4ne&$udyD@PJ@<$*ZhqzsS)S#CX@695{PCenWApJp1xq^3Xf_Xb%>-B4w83<S`
zN)RQkc4`P{R>i;v6VtoKcJlmX?Qe;`GtN|Bjc#YT6jZvwFb4N??R~9*KocQJF#IB@
zo3|4RFofuVFXi3D8x(gASGf_;cm2gbx=>tF;4bZw)B8t50DM7FAZYqdS!K28$PLbW
z;LyN5KP2%DL;Lr!&@;qc>^O-HNS~c?;i=@2e7PYJ18x8I0r_)t4{9wDzv6nQEI{32
z4cP$$q?1tK(`BH3p|BI12@G#3SHLsg)GaF>xCc2nvUWa=kKnbc&vlZa``mr$=6hXr
zL5uaGaLfx>1o$<5aNdU^O_VK&9kv+0mJ4DC`uDdHbuK??{^}6?tb4b|^4h6WN%>vD
z^EGv;3$+LL+;Qq>!0odFtdp+tkZ&&-C1mrdY0O4iN@8w*;G(jv^V?QNo$YXNcXwnW
zmUuCBmK`wBmEHQW_r?bpUcSGqgUw^Xc(THdxTzo8ga8M^@eybk5#&)o&GPWrwl-F-
zvTlsN5jqi|)9?-3z;jM;>5X(6Ntwd4xlouy`UdE92RFi-j?XfyOz#JHQT&^d0oly0
zal{>3&n+PO*M&4o0C{tC<oU_mP*o-qH1bv6Q9q8r$tYGWA~3Ne$M#~^6#v1*`pQo7
zFoqqB<3IUV>ZOZfph9coxv6gaAL_-z%(xgf?ZEmGB*VMsIi+O_k7MdYI`I?h`uc3;
z<%gu)ME2TGcVD-vs$2McS-%myadXc;MX;Y*NsYm{K0~_YP0s6(IMk8T3i1<vA1&y6
zn(xsI`d?BYOjb{|D%({B5w7T@QDhj_-1k;#j9*DBMw8QohyIzV=|o)I56k(p2wky(
zouUJQXP_3fW_1{2o?>o>Wq3{La%P1{OUZ5YuU;Mg@MgQ^ADyo+m*=#8_TgJ^$#Zxq
zlGUkaYO2k)S1B2HFWWSL9W~iz2LGItcmNv7kM~}XGxxvcI}jzodByHgbyD-?C7NWR
zm+Pr`Wkz13Dg5K}v{X!@tBd!II&%Dqy#La$ZA*&CT)_>M?jS0wulDDs%~xl)o{;WD
zu^t%J3kRp-3A<@ijTiOm@`fUPD=S0dV=Jfox|M~#PSfw<5q|NDvcdrluY3Q?!_+w(
z6f6~fW4`@$2>o(YcJY1s6-jgHROt>3{wtF8U|ulv^62-5q}lI#)_tGU>mdQ)1eDr=
zq3Dye$2oe-YAG8U(l7#Bl&2qtN$Ie)j{mcFnyB>^f0WRj_genT>4iG%O!4`*iW|Qz
z4lFSoZ4j>oDia=8d%oNF<}WHLwAn7sD}-U9%7A6mF6Dat5aO0W>9n<`>rqYU@AMPx
z-MuXv1p1`n^_^ayP56s$Q=1|q?jN5m=DhKe!J#>IHyYY$rZfNOs!vUa1&=5j8Wo#x
zCjXFDqpifk|MeJ#^GQz_m2<rhi%ve{qJ)y4Wxf14uxw;`)9mesHfJtx?!v;nvyo5%
zQt7Yf=h^$x#?jG>v)SxM$!-}p08#W4%c_u(3<6h)c52^K#v}f}JkPk`HYBa0sDrz+
zMo&IIaQHsm6X0`0U5C@nb^!ln*hAc3-ej+q#*8B2XdLrXa6O`9YxgGP?D~Iy|0BxF
z{pbZ9v<y699B{_oNl%RaCPJBF(F6>TygGAbM<LYPo!K8wBg>R;mM2+036a`1-uhMw
z3JO=_5h6{AY`=2F$LkNs7qT>ddUbKet$fdUXQ7%Hsd2h`4HE#vzXt_s48PzLZ0+od
z_IELt%cl+p$^>E=6Y|LRRk)?qXbe6JBG{r=)Dr?C9}C@)=ds@#o5sYVd!EN?I=`t=
zL2z>X+=hR<iEMYHouLR3AE$g>dlQK2<USR8%OBP>v3`N`28%mC{_oI{@l?~d(dRhx
zr$cUG^MZgdTFS;AbCUuN12S-|zh4ejC1RfBkyG8We?2%U@W#-h>~silKt+^rsm9jV
zmig!DxzOzw&Pp?7Kub7y_~wU>EJ2V&O78lzhyt!ZM!Byz!PwS<JwNBG%h@Y49Dc@i
zXQ+vHH@>d2oSw1OT{<Ip(b4Jj{5jn2>ee<{9$+9C{n}*=)hF$StBWqe-ysx+UZHKB
z%|{g*R#F#(MD8mjFo~E=eYwudB)tY<4AjvjzB(%l(HXA$X!<(CJY~9=a+xW#rEOF4
z1I<sJl}tx*1HM)tz@re*)<n_|ll(vDjQ$sZr3mv%$Dkh~gAt6V<H6INy}Hfl>W$|D
zB4oA?c<&=!X5a#F)gs%BZo^NZYi+cdog>uf!KeO>{&^GlM{uAr{bv{(eoOLe!`M9J
zVIAj5Mb**hA)5dg?Yd#-D6m#v5Bf!hcQ5VUT538Aggr{#fgJw{97u-YSHPhGu=|Jk
zb@!oNyj(@4VqUE7H!vwA<Cb#^FW#t4n@E+)?GW^&vlGY{W<3kjQiK5VI^AG@;0jpu
z+L~kA`E{Zw#-&s1{DtVGEYX%D3l6c{*cAiO_m4a~-u$N>*p3>5pP~JP)6=+WzDE*2
z{WO=DUry2<T4?xiW@I(R5@SVsMH6zv-XqP$Ak*Ph^V2pF$cYr|Q;S1AuHTKCBI_b7
zY@^PnW7y}c5JU8!>^L*CbqFu#3x^+3_FBU2_qaTIyn7_dPCiOMc73BZLca(4Ik^D7
za^QhKMO|NEgugVhRtnZjO=ZQ1dift+779DO;XGw!q~+1rg#eK4i2wCg7?UX+F}9=Z
zKJsr56JZu6c@4Q<lVAjxznunH;5ClEh#FQX$fl+A(d%2EaTR;fJfwX~>sfshHe*uo
zka?<BR#F)z>Z!8yinq(i<2GMhchS6La_<+mH67Z;4pJYD$BV)--=6!5=Kpm8rrZ&L
zyrWOe!T98npAX{3?7d`gOGt`<E2*^(<YXuh0Y4wf9lyJ}>YC5r5{|1O5}|B<fymuR
zc!l*w{siN=M+b$ZxALNP_et4SK4PAResW?7fDGFC_tb0-e9`s`pG8*aOh-OIyItCC
zj4*9HC)<mV0m1*Y{z>w$DdVir+RcWS2V7)P@EUt+9t=D}=l5x0S2@%ZjmOa@Yp){w
z6E8?=9wti)7fX|lJDMWIs!O@#2SLYJGZSmwUT<(jUUmUfquY3L{9^<Qr=dfPI$AGX
zJ!c>ar8~FXt(Fuyiqv0h6AD!ZPpHni@M+<X*Av#rHfF}pkmvUo+oAwC84{|CX^!y5
zQ_U<q7d`WzozZAJf%F!1_n(#>(E-_2YkR=s<)d!KhLMgt!FwQ0Uh6Phwm$Lc_4G)?
z5h{gt1<{+UPHZbI+7LEO%JFlS&sOg%^k|!x3)|e3)=AkW+<I&IBXQyJJx`$6O5=`F
z)V7mvcG%9Q-^b_Mzw~dO@DFCJwTq+yrwiIzK2zpjWD8e6AOy|deeCc}`N2omdvjH3
zn!(S9Q6eYl3%eBkD0_;Tr|%l7M$JP-<K+9g^4;x>o5yM42Zu#=cGTE(b7fD)6YVfq
zH+m>ss4cDOa*a?QU+?PaxO|+thEU`FWj{U@AyzxD%YWA;uI^P2Hg=h{jP4w=*Y;`0
z{#+|qoe4JnCTW=RYYu3GUzp=F3&=lPBN~Q->r+<2EH)45lL<WS(&U4orBR2v2Q|9O
z57}7)1gk;u?^}x5FodkSWK-4N0oowvA?uanS}@FRR$(2;{Mqi__9m937Thp#*2p0~
z$`swWvchv@4*N9!j^Ag!>3~#+(6bOdx61Xm=Qr&m%7|L1s5nHs=4RaeK<e)V_Pb$F
zmhG>y_^RHF7m`A`Wh=ffq;3o)B(E9JSXxhzFO9(PadgY-AKf}5YS1z5_(87s6b1%1
zq+yvy52;^ZTQAZ7=!TiddptAoST`Wllcezo+EteZ+8?UuMQxgO?CYbzj9Mw)*tT4l
zDO~prIdV|i41n8!Wj?Rf%J!XX?6HQC;0c5pJP`LNIXKI?U44B0SzS3?k7kwP^s{`a
z5gYv8cK?x6oIwWj3=Iu{tm^r@z!nsSn1U*fi8OGyW*hz<tXnLSUb0%b)iJre52rD}
zQ5f_*RvcXVPDuX1)|aNu!@fPxF51}4$2bt}B88B2?!-%{n|BkE8wcdJ5F`yFjm_N0
z`v<o}(hK_XhBJD*4IdwYhFiHoGdld2%0WdW#n2T%{yZH>DB3#+6R;R7^yHE$FKiT}
zvKxlrwmQgH1F=8hye;Ac_`5mIaj?3b?`UeR%&&0g?@F82^kUL4|C%0sG`H}Cu1LJg
z<MB-2rx#eCqgA|7M+1Tt6x=7j{bKr%IG5~RB-G+ah&7ugg<(mR?UGZ{gggOcy9ezI
zU|2wgVk!fpZ9Z3i%KsA${Ue`&sR%LxrC^|g>&5j&&4u|GsMzQ;wsf@YeE}t}_H*B3
zB&NMeEOgd|TAEjkH}0WU8IGn&J`^1)s_puw7NrYAGA~#|u4m6QNkV%|VN7Iw9F6&y
zbazoX$v2Frqm7y96ho~pww}}x>ke5r`IG+Svca|0720+fZUF^|V}G(SxpUabcgQlB
zw4^#`TPK<oVq9N3$@D+`+n4${kn>F|C_AcnhaOn{Az<Fvq&v9tCNNQZMRHAgP@Rn|
z1fKn!Bj)i13?t)}sAH??2aPTRZPZUlD_SCjftdLVe(5Xo0$A1q?)S|WkhKR5vj6Bz
zjcr2%SP17oL9B`=RE-8ufCOfn9-j<Iz_$FH@yNuf;ZPW<ps8Y|W=d%3$^i1nHS6K6
zlh<YMD@9)+n|y5l-~W99J_*VXKwveQNBjh&q^aDoQVAEJomWrE8*T$LD_Be!fX<}X
zWqKNtC4Zf|h23)UqGq>oVPc(MGl+s#Fh0t~kP6|uAQkgjvG1ux2aHkv|9JY!xF)|p
zYz#zNR6=SfAWDjK&Ll*bf^<wpM7kR`MFAy61O$XB9m1rW(Tzxs9s?<<jT|g~&+-3!
zp63lOh@0K_ea`vDb$zdEOE08H!Nun(W%wE>w(tA^7YDNOP6Z%NTQor(;HR3dl4M%P
zG3>!+34<Yac|Cptqr(<juHR2C4xE-rVM?gfy4C5fkAS6jD(@(<y%oy|(FLWM6Bhat
zkQGr(OQKI;`BoMnmmbkm`E9#fXgR??g#+uk<tEY|7h%cwkaT}O;fnXCgRae;5I+Me
zY?;4Ni-lOI)H`13nCw+TeruPl9cSH}z56H8S$GE%c<K+vIjxU7?NogP7qX=d$IkE;
z2(ILgVP(4(Fl=VHt*$x$hCX|W2NU8s#>)m4Ncr~fh8vjH-3SRCzjIYa<#kc7!OZsJ
zX+YAl`^Mgr^Z8-dissWxLcpzXcqw#CTs9-OV9t?Ggh?c({vU+P6fDP_zta&rR|C2J
zqj`?7@_ws9Vu4TNPN$nV8CXEoJAf!&l%&WOgL>3#y0=ZZyHK3h#r{_FA~7+_71%o_
zxD@1$90pG$_R?5%C=y2=BU`*$bSEGAxsH)@z~eeennPSgw65d(J}B9cPMM${(q$k9
zWRCBNt&zJP)0X(uLPyEzSEsJextbQ6&hZ$%wOuNvds&=2wLWD$7V}5K!!Cq*dgk7u
zgrsYZxz3(YJp47h61A}p-RL3T^)G7q6p*PQO>FAiP{|mh`9q*v94L3E!=p48L?E)o
z2WpSm6yR=yUU2@-w*e>fnb--~KDS_iYRzE?mo4r-S-7sXO8HBei#{Cx+u-*2ZGtuK
zEk$GLrWWEkPEqHVL^5IX_|Brk<BaUD?2h{~5l#G~>e@G1q54gY&pKT;=k&X(XBi^<
zS4Q_xbpC-ShmL+2oaLE11FJ4Y4-ZaqFC<eWWx~eCs|{U8E9@)-?kd{oG`Fhk&p#!{
z1(LM!+8g-A`kv@`lD18}`^if#snUT7y9-S}sA)|sq!m0mTB?%K8&^J6@tiMzspghB
zyA>Tw_$|rAb1Q-`H$=llv4`vS7@JdOS=~-LQ{k7DC9jD?&i;Gu6qBlW|4R?)f3o+-
zP)Drgmwx-$9>h$m#XAMW9j&_0c<&YK3ZG}wa!LuGA5@ck%aY}0ld(|8Y>BFDW}j6)
zia2!2)rht&HQCm-ENxQkI@DSIDj!#I<tY7@L~J|a;`)HOGqVif)&L}BxuE*P3xB`&
zm$-cyk;xQ?)pwhttwh1s@`o-poyr}a<rHnri?IugCq7-*!Y8$8Z%k6kt()@lVTG<A
zvhLqbV$Cp}+0l~dYPvbuXKOE#^;11=cepZ($H3&p6PP#RF4zf3b}^y>*u;#?uaevA
z&$|l0m*hDRRsqTh+ZIt9hy7=#L$z1|`2^Ww=u^4~3FGaI^SZhjU*1t$$MH+$3Wgpb
zWJZmEr>o+-7cjR5g!iLkF9fwr{|PWtO=^FTwy#nUh!lS-Mbo$RIYJI{3POK5?M9W4
zL(%yZw^wa6OC*l-iht8U+;JzokauBt0a}mwk4`}0ifRI_e3x^<Q~39?+IxzwgE&!@
zCd_%o$sMYj^&eeRn1|r=Me5VMW?FC*&r?6%{1&E-Efd0nGiQbNTJl7iO?=SDlHzYk
z+BpxzdWyNiGs3kyWulMSo87_#(NV#AKB6Ttne8Gq{=a*K?LrGP;~F~NgCXN?LBI+N
zJqXquYAcDD-{x9p!T4<1FkhPnykcLf#2{wA4p&jw#t`1bJz;Qj0_ziI^gFo6<<c>Y
zNCf0z#q80x3{9JWgMt`siKcgu?+6)iIja9J%FR{5(}d2X;*aPcAB}Z@H#M1+)E_WY
ze>PnQZm9@WpyN%<*-8{^BZpjFShO0E-0Q}NA1j>{d4oz(EQbo+=r$3MgMTRsO4!^(
zkGqjBcL8YP4nT(*Ej!BZmu+{d#+yyV>Q~lW!@P;lp@g{^jC&^EKT2e^$-^R;s2NRy
z6qS3l7J||{`C^n$am5#oE()_N(qeOSi#Et}UyZvA-OGSCD++i++kYTk7dXz}AqWEr
zhzO|=kb&AT915os>^inmy}z&p;Jo|Xx`tlZl1%YW(A@$WU{;96j3LTaxV;wSAdGrG
zU7wn^eo#vun!blT2zW%}JhBk&3tZ0S?I~Ar`>vEu^U`CjpY6VKdsnB0TQKj<@hD93
zNp#Sn!f-I>5C$(w>c9&?(bN0&5}vAmG+Jf$OHw@=K8ZSRAhqGF-o^xE8;0G1=|-wS
ziqlJmyksUZTA#JZg>g0g4=9J`nOi`TY<OE}Wqm-bs9sTVa|PWGC8-Fy-GsmG%TRO#
zNvO{HUgw;R(=IoSO|$MlIv7bkz2BlLU^DGO$_3$_xuv6}IDr6~v6e$rXh5$Z<Dy@q
z1N^IUkKmUqZ9-Mi0{N|5_S#f#fvoy{yH|%Su%Q$3`?7LNDPPXt%z08qnblc?kFK;y
zx%)@q^CA@JJZ1KZ^rDZq!}yM|yU2MQNetQL_QCQ@A|b7-`nu3%n-Fn5vtQcQBhIIG
z(UUMX5abM-m}xzzv%wPcxc4-<I4vS3%v(Z0&2s2@S;o#btS)v+!T;;M=vsyvXa3lL
zqVUd$$vbYTZ<IKXu!|^?ir+jWLP<I<JNPb9_~acP@0!iW-G@oH+Gs~;PU0X%K<o8`
z3?7nV|3%8Dzf-gss-ZHB7G~in#c_O}97Iubi-wfKI^e9GQ6k5vaGCpc@$oAn`Xa%|
zrYLy7{y^vA4zd8Ea@tdQAOyeYMpCg~1fA4{slHpJpzjVN5a}1Oy+H-3XYidX36~_|
z(<_g22zfNdHnQrfDjO<)6?2wyK^#7P--jQYbaH>z`qcGV#jVcI)$DhVS_l*+-k9Mw
z*K&PfexCXF^`*xw*aCm<0}WC&QDF2HlojYq#dn_(jk}+23ng5=g(*fpKyZ_S@VHZ!
z??G?i?$Cn4$%%>kt_;+j%&Ls%v(vlzqxK7+BLO)$P5q9137e{Kg`eAZi>OPA$Ipu9
z>D!f{UB*qyK5^?Rwu?x2c=Ai%e89GUU>c2_#~{IYN<_}93i2Q)Dg6E-SD;#Zp5X39
zbj3t0Nw{X8lLG4MmRmFqC~!k@3cg3E@c8k_eBE$nQhMf0RZTn5c0%F}pjj6_9xB~H
zeDVi_6B>kmk7|lAj#XiOSgvwkKuf|0`j`i~V&k?jNK&?4Q2cpzD42VmdKotB6p=xU
zz<$0&k=RunF-a9U)o<kry{4jkP;41;H}LwL<+l#~sSD0zy>=YI4D>mm94;%>U@SaM
zf8=}mB|&B>X-?gX(VU`h6@g+IybxE~42GT6=DEWf;CK|Hzx@O2mmMN0Qr@eNT2v`z
zojO)aRyWWqT>v%Brmtg1R33wR=rkKOn>OOG5Ephhvdc)D9)1hKE9?G7s6il`3is0L
z+@9Mu<*j+sKYb{4R*jyA^JdRquhj3$RPh%zU4e};K2krvxK`fO+a05?rTN_KRr!xj
zxlm~6&Cd{e$BCJc5?n7$`PUP2pvg&CV<4^3aVh;U{t6~<-NFbZakGfcZrMB4r|-VH
zGkp6QqmVlzWV}lHFa%XP;fXN%C6N(}_mhl7n5rD}&W`xpR`_TSRZTAr({L)f=XEbH
zsHnqbu&>6~tXdIjF__j4clvN}MD}|T_VBu3MBKW?)aI8_AuEY9R=d^tdq23yqM7oB
z);cvBT#7u$OO9gKrDB9#b0F_cwJm>B606hQH6IqfW)JpCrF4SxJjvg6Vek&-<29qo
z58Z!)BB@H)ef^tr{phI@#YI{G7a*;iMz-kN4Y{g|dJ=TKu97Bn>rTG092IC!J@gbG
z7>%}6@p#-|9Z#8~jZ9<k(56{zzrqq<EOby|6H+-=)<F~`<-u+&&NUdv^2L2$sIMug
zwpPR4vwcfDuR{w1MQN=%dIHp|p|*#n?Y`}xETRwTa#>^+3q$$`vLC&4!pD*1ZUJCT
z0P!1la05iIwFd0C?}+vvv2E^e>+lQFF-NX}pY2}wd5|)H8342)i}RU6R6xXq&Jcv-
zeCAW+QYNbSftCGsiBm*8?`-<&DCZFydoGWc-pclIh*RW<Fxl>Jz6#x+`Gb=0SEr9W
zK!uVs(@^e#-3NjVZ>XSINtW?9nKma@m3S9POvjZ?pRWEC;3_(0R+xD*@TBgl@=EI8
zB*gv^CkQer)Z7aTU7I)6<?K9GUeQj3{Xl5<_5@vKb;lV`#e;mCZ#>t?A-^Ou!RhWg
zJE#%;5S*)*JLA5Q`fNN}OG71;(};ecV2Z_l_V1#xof_Xd0cQ_Z8kU0AU(G7ib=Mwy
zd=9xdcGP?v_l1hQaL<n<;D1nT>&riAyWe+kh4g)aog@x>8*GM<UJDdhc~cQo|D<e0
zQYdLyEp4c_PiNuIR{obGuV`R{#&qn|f-F;Njf)5~0D8SGzJ}U|cC_9|U2O{MX!W{{
z57;&1BoH~7^bX_*u3ri7(LR>&&7z@b*`yUVxh>%xEbWvHA^A&T@vC1$tBzwS#d!@D
z*7=cB%EeiaUw`~|AM$#kNgAxOb&9bjKQ&Pv&YJxtts`{<@qA_bwsVXG^3PrNB{)3l
z2MTUM0d2NWB1K;n+XdWm97Os9&%DPv*Vmk%>Ael;yq96WYL|+$mhV+*@_y1EB<*!5
zWdBE}(s8fs#qsZ*KkR+zz)9f?6Ue7fz<_CWAv*_4j6`nfs_WUyo%&^X{dC^mUHI>*
z*=<i4x){L@4m$z)XTZ7R4uw8`XCi94Jj2~^*b34gNgWJbbXd1&yb@pGt0V-H$zoHN
zm2S=tE;1_nMdLeOj~<gi&PKnOHUK_u__}84s>M_OgPkvc=1R&~HdK+?yV^7ae)QKW
z0LZ3NeF7KnjmR~x|3MMa(K2U5ofolr5Bhs8FE-4-FzvkQ5zQt6rc%Gw5dmJlNhE|H
zF6(DV{*0!Iq}W1_1^fpZe;oI(b7t!LC~io)-+K`ZY)~382luHdG;tXD7KyK&3&Ixc
z=V6<*evJ68FuZDdokjM(XY7{MH!FHWm`34Z*4YiDP6q+_Sbo@%Sdn>;BAB>M_Tj&l
zBOQaS2?-6(ceS6X;ksp~otah?7XE2SzKw;x1n=C<T6MP*arGm6qO-hG7<_f4BG_c+
zhdoa7<szKvU)jml1z=Wy)@8~HleF7?Ro|Y!X{f?HtpYiuAdK;Xir`9l!4kajc+@+@
z<%ZLV<_gx&`EGCcc78&t;{U;y^p#`C`D`dpuoMB_rFnu-6-QWK&@AGLFDfqH@59kc
z)d?lIKFa%LR(5CQ^ddv5Z`BX>e#;c*GtJh8iUnO_>yf3ov)k0)>1S@W%7|jvDyiK5
zVl+l(FfvVVw1Hx5Q1d6G_a3L|=kp(<R3;FK8#aujQy`(>5C<)0L5`u5?wDu8LT@3F
z-xM;wAr&;wk{F4n7KEL_y9jNt`w<S6n0z(T3nrb#IdJ0`ZRC7(69?%7`Sia5tSh8a
zyme4BhGpNH>$;mlh>eUmpI-jUlUI5YgjmYDYp0_(2N2~9974uNbQ=vPto#6@A?)Bk
zI=-f}r21Cwr}CPj!_wZn_36bTFRp_&Gv(S+{iuW0(R2rfV1=6;X<Zth?y$&hyn<v)
z%Ql#&UTQ_J+dKo1iE<u(EMDR}iM!)C3(0KVN1qAl`ASP94Hj6;l5EWzMoPYO%$e(n
z=JebDFzoE$L9nndnMhWqJi1b!&$Bsdtf%cnKY1Jj@NtrILWfdX=Uc+ct)Bv%+m)AG
zVWq8w?Bg}pk@Ka3YNW*lRykeL+dPutA%1_BT7&h@mmkKwsycrinVy~&?Fw*F)?jYV
zHTzQ@E|Y6h)!vpfC(jD2+iLt(LETYFp<W;{95|A!@lMP^D0Y9omV=*tynQUc9X@{Q
z)iQp24hAs6-#?t^N3x8oLz#U9xRhJp95EfK(a!FYb-*4zqJFH{RNX=<ng3&&+FETn
zm$znlvxP*zkPdl-9cyx@ReUcTt*q?pk%n1#8+k?MC-dZqcIxaEjjEV`=dX{$o4CLQ
zG&9Q$pJu5X7A&Tn(4l!#86E%juYRvpdi104P91@^I9}=P6mA|JlzjO5=VEj;64hE;
zEb-`^fl>%|e!Q}=r7UepSp4R@!;)@YU8}{<R@O0nJ&I-31aFOi<NxR~_E7;pEG#es
z2R281ejGqgjg#VcuE<_3-2H??@`8YhE1%~Do@cvu2AY+Af5V@s9$QJ;dNn*<$};;k
zPG#rp3U(5P55s#S4UNw(OR@w-t_@B$eAaII;Co;N){89(#Auk_8TNvC+e_C5y5=*J
z1S_%(@$#uqKIDAi)Wc(&5BbWEE{0zM3&57B9d~|)IQRvbj=YT`m^ulFtk!*+o(uVI
z&MbU3MQ$^E552Ooc=`&iqxz}$F1uSG^<<9LPHuvFs(aOy6`_IDxLvA)ZucUpGp!NR
zjUIFjJYQ$O|1s4|sZzsxl5wHQfSS;B#vgqUNm6rLaN3T6aLU(zkP)lgk*X|;xF!7b
zM4#T*uh?An39t5B_B3v6Cp(27Os91@Ejid08HW}yxei(nk<WNE*D9LF6eKU~Di?m9
zj!rJm-xw($lYqu=48G`X*fnj?a9VmeqU6fez=oWNYk!P7l7Vo?hWLD_0fQ11Bjk&u
zFywMWuuWH0sS>EKi-jZGk%Q<CWJ-%5FMb_IHiVL-^Nt`7r6#7adxe^!L?6^UZ{|(I
zW4q8U{pwGDmks@6l}GC#&8Oh1)f=V@3eX)JO&R3;0+OZ%S3$Pu>{0a&o{(U+{5Vd;
z75~=V4pVkJYFv@yu0~ErS;<QWqyEduiB=qM>vD4?IGn_TjxuxF8dMYiqpKADck(0S
z3AjxOV(;NW1Zio(jc2ah4J(tKbW!~Xs8{lU1V=Uu66XFv(Trueu8UOg6hgZXWnHOq
z!HWI68x$+tQB(S}bOK>~+R%4ZaxW<vdf5N6D$kOGC%+IL`5&DeJ4pHiUzUO(W(@7d
z7rQJs)W`B9rke9y5szN_&<rU?P!YeHPDjmmH6zcGOl}lWBXVxLTveWxZXSkofRRUx
zs3uP^3-L_)g1(X&vFi;S-xa!9!m-bO-pZlr_DC{RSV)|wHsrgzYP=100X<cYM}_wt
zK`QLK^k3ed>ewRS2x5u%UlGkBV2Ot7v&fVRf4_*&J_EMk_6w2m$1Va#Yg8|jXZ6pK
zQ|PY2iwNAfVpw?0B5vx`BjGG-(z_|pUTw1TI)3s$d8u6Fxh9SY{e>t2BTFI^oMCvl
ztG#aER}OuxWLW@SPyFa@@6=g{ueQKC<cD!|7VpQhgvu?{A8+k<HygAB8?DZ0D%d?>
zb5&0;)y>{_keZwW9X*Qw6lRkiFK_~WJ#$rS2@Cbvy6Q$v5~Zx;f0AgI*Z0s9s8C!P
zH1yvf6P>^P0;&VbGPRzeKr~39AHZ%eM-E>j1b-PmN4~|exeh!|)@|12;gjrm`0Ghz
znWg|qwI?B~B>4hZlW%S&SdV*eb2m;NwM8}M%{P6RA8_g@JG+-IW-`X7%xrHbvV_@A
zRM^Ip*>5Bg8Cp^N!2*krizJ!$K!#9?!VgQwsixwBN#Jl3R&i4@PGXyGlV^h!G2>8m
z!{MByZxzAf8^0vSkEiV4PBzHUm{1E|cnnGGu)QZL9cvNntCzIC0=xJE@z9Z)71!|g
z)6{2*C5Wz(R8+&2Eryuvv1~(wS+$2XUm;n}%*WUiQW1@fi3HD*la9kfdDmTjt7UV=
zS1(wnf#rwpYV-AbE&G*;YcHICQ7{y3@UAXmtqaWEFG{^Cl8HcYuYq>nY=Yrf_7|G?
zd(1IsAP}R07OVmR5eTDWh6D+V7ho_%HP<B{xJJ1=KU5qiXv^!0<TNMWlod}mptJd!
zN_n-b2Ng-!M^C^>N}4h<2ad!U)b2=oukt}<6vZ(y)i$brl+4|X`H5{oMX>U{0(5o?
zyOX&0=QUY<8R`K(Z6Ez)s3J=0<gD$_vhuR`-g^EfqL9!xkF~EldM7yU7sSLcyQpXk
zE;t>5av^knN+}HNx*Xg^f1di(UrUV2on#45q!o5grJkBf0r}$F_ww)e*h$xx(H=`$
z$f{tq+?gcJZlI!l*>tp@BuG2<OI+5P^6K*udE#q|2u=wwe+|7MaoAYMe1zy`8(iS&
zym2N(ykRgLSDEbIyz(80y%hM$F3Uf!fK}?~#K)K2usj{tR*8h+2oEtI28doXMlvDF
zI<aj=AD?FF6v~DSIeBy*xj2+cvwmhIA7A=$`>&rMoj}p?De&PuX(E^?a0BTdU+wA$
zA{qTd$*@kuU!6Wr)Uh({NsQ2V7fy8N`k2)~wAZaPxBYKeLwj;12?q!oS1J5(#$X?U
zcKg|9?V8tyaS!U;RR^7?6Ev4qkUIj1j-yF5a1UsNoI>I~z<B~yD1LDE5KiJfU=6%_
zO0x92?BIWNAG5)}K2aE3GTYWo;h~L*yJzu1BkNeD*OqU8Qoh79&%0QXH!IubYNE_@
zY*G^AJyaGmQ}8D~R$M`7L!O*z2T{~`vu!g*=B51x_L7ha(=c_rixGXpZt-p$u;V@l
zP2FS~={e$?>6_vMeBw$p(X?XLY`^Dppf@LfLD7X?<Rc4{VmI_!5_a56@}N3igwUOL
zc_{og<dLIKGBiE-U!h__&5i4VO`hq~ZbbD1-_C2p_Vi_gXOt{4Bldm!ci~SNLCLN@
z#9Z;J^8Uv?QuZ`$^NFrIEv?=ttl6>gf&7))mUWY7DApE=#AR36-ciELrY7~(s71PF
zLP%pYea*+<jDabzVh31<^S%<ZG<jHjDEB>+u(c9{1EXGZb;1D$X*?yry*`SZDhGY9
z7;mFw`2h0{6IQj7yvLkf@y;Df4k8AZ%wmy35@(3>qx&qfv6@GQnjUNWhb55`?_DL^
z+Y&W_yi}z~-IMd2c9Azc&$dST*bXq?6PgOl@FJdS{bXset)0;4I){pTKnenmWQ1S7
z1dZ8tZYg<9_`qxJ$E!|zncKI+sUC_i;CF4b$q$3CmtuqILnLJ_Y0HZAmuiFs!ewoe
z9$Uy4b{L3hUirF$FhO2MRoNsR+qYXz%<z9;hZp<HlJ^gRc?%!@SMqm?d0o<Ig=csF
zi|DBzj(Hl9u}<?*`Be|J0s~D)Jzlasp{5&G#CIi+Ht=o?t}4-323Y_@3%kjbwXO8t
zrJ3gsYGW5}IZg82XpiXrBJd4aq;Lc{5ocyULFZ#IRZURf$@d@K!vxbx+5nCKV-JU1
z)I3EpZC9;A6;|aGO-OaL-9^}HdG;$?xhtdl%O&rdjmD@xHuP;OnX^tgc4H&VnSbaL
ze;JS={^Z%EPDZWNG?$J(%U@h3Huj_I`1PUTIRtb<zHGJHVSEm(VmbwU7md-LfQ0NY
zk7EcgaTI;iWEx`-Aq;ZrA^64%Bq??NU;=Xl1eF;7quUYl?D5y5g)1Nl>BybMHFmaF
zhg|Ui;d3s7BZu~HEJEkz+4pZAgS*=K4GtPO1p)>Hgn;!EH5Xi27};_I!5()M?gSy-
zbfaA@TIc!y7ru&{_$O|4mls1az#MsOKq}+9z&ZC4KDpf?C|9RnoHbcmVSeT`R%YkU
z*W+5qYXuTRiGL=N!-?DUuv%+jhh|?>lQ=CU8QYN(S1W?*Yy$N~XokNZFw8^6sYCIo
zh=a10q8>-=RCcuyHLq7o?OF7x=nLVtn{gILE=?Mw4}milGUF#`3hBIG^28n+#kqkq
zrt(ITQL8k3=VlRTzpejAm(2gww0H0@d4#X1o|>k~H$bdj#Jy{{&c1C>UD)Cx^!V#N
zt4r+jZ{qN}-vK2$;=LWmMC;*>(!Huu2iTul^f%-Sw=?&D_|FBQV&Sg{ZlOt?TGeTW
zA1Vf`XO`}C@hSH`<$6xHO7CM-92Grs;4uRK_aVeDK^eV}-Mwhq1vCwK09sBf<W#t~
zxk$RVhAPKD!ari6(|pbJGs@eNdT(-n!f6-Up?R4atuASftg4(fyiHLJs7Zrr?X=P=
zS8T3PGck7QLP`hl*EHdEJ~pqbSpu0g$Dg|PexyHi*;+&Y3jmc$v9MPCX|h%cW}gkb
zkK-L1os_#-Sw3yjY!XBmjp@T;`66Z-)m0XO<4W`5N`|PPIDIV!^eQ9J_ehsOwB^J8
z6YXaOb<6*-?={tq@yY_EL-E+?R^+FLAE)29zfxJo`T8LRWjjLhz*0Q@m2`UndSQ+f
z(OzeRMz5!iwc&7;zw*TIjC6PWnTk(r-Lie{)hY2%RNLaS2Ul4Y_y^(YY%+KdZ>{E<
zO!5Xd(rb&Ij;6M7K~Ub?69Gajp894Zd*otQylq)^O?`YEqZ`M^ggv@cDxM&-!AY=f
z?%>lWIp9U(RnEhnSIdCmKiwMa5C5RnI@7T4W)%Yx1|zmMQBIEWpg0eHW9^Zk=`@M@
zgdyl4Ps4-RsQDMVAm=2}!QA*D0l}?n`!0bDBO7x8Co?<C9&qX<O5fuDn2WhXF$Pb=
zf^=ejcme)_SAVx_On&uc!{G1EcZkY)IKf@)!$90d*ZhEd`GtJa7o8{7#*tI-zY7>q
z{UJ$r*<a#Wns)ZT`D?wQ_Q8+AmG(%o-?*%mV8oKTzTa(mU9K^tzALEVhQUq<!K43%
z9iShUIH*acX8gPW(wA7d|LDG(E(Ok26TW(^-SbLD<e`fn^KVdVNbF<?MIP*tG!ox^
z5|Jp=Cil-f$nwi_X~md*c;}p2fZ*9NW1Z)|os1$ox@$Ju^Dxp?Y%?q(I?sUgcz*H9
zUeeCsW*HJ^#HG-UY`MZPiJVVIv6zy_<uE0FR{hB05IMfxdzlHPrKYVYb_#Sp>M>W;
zx7Aejr+{`SYZ*uJxbJe5Yx}cQ9ARZYUic$|XL}76>-->Z#@O7fpJuG7bZ?FW^zYJ@
z`k2O5$Cj#YoH^~){Wh+(VJ<`~$m^rYHQYAWCA2dYBhRBQMYg4w4fj6{u(>fhaX#=&
zU3{m8vLm5B?Ty=&Jn5S^Z?!BGIKQ;2{9;ugBfTW<`x<ovino?&#_;J8@)lOYDEb`9
z0|Z*ReL>f*?bS=e21xo6ex32noo$m}TH0>F%+w<Gx@de=(`N7Op1=AwnRQUKla!%`
zNh{wMGkMd;Kf1Mv5_H<D4of?#hiI??LXi~MKeUCt6~&?U;p%9x>~nkPmGjwp{3y~+
zWguDakz22s6lz8P<sXQFql~g)#p~$bk14w#>3EJ{6KjT%t|`SyW=8dt68YB_m~Wgp
zp%)Lv<4#=rjNshm=j~ieesu~eW59|i0@jUypQ$uWQ6we0Mr!`rB_U|mjd$5KSx|+&
z(0Svdt5@BW_)2G<8tXbCmhIi_d^ZKR(t=J6S9;fv<I*>~Zozm;^zLKSlD$sWtY{24
zX@@L%)+%d$HMufM?xUS8AnULLB1vUf)rTODaxLN>bn=tk&jQcv1{S11&wq3-^oZe=
zOH`+$FhX9mD@CQq{4bYW1NXRGPDef3?2i^pHssMQ^eXy5n*>Zn$$E%i85fD^rPfme
zp$fyNP*?F<lOL)43J->Tx0DYwR9*}s1O0<zSxwB{kvSToT|UPqb*bD}(j*38tiKH8
zNaJo_uM=lo)cvv^J33p!!q-tbE)LbX3lk;Vb9Z-T3T*a!@B5Wi$Zx_nu-AoX7d~ld
zdze13D!Wm{_QEGn@w<m)C}%Q{q0t|Pqw&$|BG$}u-DL@%KP(8IlEAqa6=PC4@cr{Y
z?c8qpuUm^G9c)A;&hj^68Z*4stu3y4Nqp^d7;?nIVoGfbuQP~^+E;o&&ruZA_5U1^
zIY~3x%=>6l>oaFdj2B}bN4NuJH(2YzF{p`j&pca&amHNR8TI`1ySDn;q#SXZ#)Kiz
zjz`+K`(Nzh#mP*;ZE<(ugWH{}(V90JjHd2pXsjOt7%DV^!ZzXq39CLdv}p4<b??d1
zQ1*}X8hRKkAH7s`Kp==FhiS?={+`t5kN+_ceRs(gWsrERcqX;O&d9quQawP$sJ&C}
zZ!i^0S<dPrk4faRTi79x*D3~eXerS7F9UItT7$IKYRoY&_V>+!H-~jhN9#1kG$Gie
z!T<YyJ$&wm$8qYBRVCp5kJ#w#Kpzuzk)76Gkl0Du3qQZ7O$H%99l7gP2%F}E-W@%^
z0&@8pE7zph-!8q3PR>*3-9<)0${E@~A7AiV#ke{g-v>Q6w?+ubnBMeM(`I^6dg2uQ
zpA20FXqa#KwtH?0SSss}hG%@O4QyKhtMc%5@Yy12+&qeDZ5pwDJNM2Hs6cH=>yY8F
z)X&WJtjx~uw<z?+yVStNojj3ghgS-&5uH$i<zOUg0!gnfhd0Y^pQ7cuUA-09=GsVY
z=-~!<X+OH+Jklm{AB<tIEVPkU4(jTLvqHw3E|f;Vth~?P*v+O|v6EPXi$q(%RG$sR
zY}Zdkgu0$=XxQ!F%upiHFzo#ySesCP@8`QqVi>H++zpkPUjo{@XchBAnUhWF;LRa`
z1{W8!V=!zg2%U1#<~nyd%M0hw>vkaZZlZq{Nm_%u+8sf@5!inAb5rkv(&E7zvI1eH
zt<+zvB~>$qj*%_Fjy3g~!0A`{&^_LDsaQJ4mY*M!_6MA&G|yLmF4+pcS1pfMXF6i1
zF~={&ZLm)$9#8x7nU8O{+~RjVF=g~0UFQ0_zX8xzpaX@|JBsN6?DZVoP}}0>F{RoW
zv(e$&M_J;O$=toCXS<X3>pwdCMsa~z<@|TeD7R<2QVW*Sj6EB&)@M$~2y-p{WXM5)
z{oYdNXnLSW^iIzv8odtjaH2;@%{WTJ_>WCDWhi`Q)5zyBo(9N(g`$L`+jK>-IIQ;*
zC16aO;9qp|A@5-L;;ZA)b&ofO)ryiSY^vA=&=c#(1pk;eLE~tWT8hzbmHn<vURF!#
zTG?fyR_~Tc0BSN@^iWpBLUjvOzf+wm{J8SZqKEGHXCStv7V88-K398W7wrOZJcj*?
z&7ps9WJU9D{Ud3udCP>W9>%_y%v=pzE~MTuU)wc+%@;ZitAo4*Kskp*-uoePcu3p}
zQyx~u&j;_d$E`mfWsRkHmbWcHZNI*FVXLBUn@W8Ho}DE^v?2+|9ei1WAlPP6Z5a4M
zm*pK2CyVVBWCCxRfi_H&>PneU)42Si1y|stNIXs90Bz`f?1mJXB^cm!q0%#?@<r43
zpyCTggs_a)2Z6aM->ftSR%g}ki=G%d7bdil5h3p-mMP7M`Y~NSqTbI-X(9pz)!lg~
zf%WecIpY1bKSgkOi!=Lt+CTsVB!=^V@W2o6@B0=kK^Tk7hzrWsch{c(PVcZmt~^Xd
zl{fja=R6CB5ft(|pb@Hv;gzR%of~fF4d(sIw)fQIyG-*T+5hXHM;(L_F9wupa{T7#
z)Sj$B-9Rr2SMQ)Di4Y2x?Lj;-t!$3+Xk3c(gLT!p+fHxR6K`p+z!Ih0jv`kH+q}UV
zqm&biRJS%I4teaHz^MI*>lL%U2O^PoB3{c;6vq889C(x7E^0*R5wxRy=)L}<lRg&h
zkHo!yXu1WboQE!GC6e#Z+A_`&?~jEidn~*fw}x6YD3+#071g{DAMPgg`0-gKQ2!oh
zo)m(|8{eX>c03ciu2%eE$$obXa4xPgfK;FNCN%-?7s<gBtuX2_6-RmB9Jvo=Mz$~^
zU+Duu@2pq6%F2V&KHl9FVODsp-sM2go-Uh8^|HTRy$F9q3*@I;2ZVGrw_qVoz$rC0
zZb5*x!kjHD(}7)h)`|z?A9u;U(A<5Iq2%xPg*cLOTN{^iUv{tx))iTYO&+?#KL0%i
z5d*vE=b>(R&40--Hv7d5bq@GoGUcMtfnUObEwzYZiO*l0%;|IYVU@Q%QJgFKnf=fJ
zlzy+V_j&H$uD1pm##_7v#KsAvgxit(I_4Fq6R)_e-_$mK@`TcH)!;agEnbM5>knH;
zXdLNE>g-pVOCeFRG-JZ)3zgX@i7l<avcqVL^((W4;VQM)s>VTDReD=;EB2GBc@$2k
zMcDghhXyCVlcg<sudcj5vCo{kstMBC7Hx_Lz%8P9HEVzPXPJ*X7jHeWv6z`jIseKs
zqIIvEL3j<$KJ7%tML7GJXfTXd$#0)4yZJ13u08daVS<6wr)m4WQaqe%%D?Sa>6r6X
z-3_0!h6{|3{;1yQh86==mW%hxrz`()3OO)NIFcEXO$H(0h_&2@vc^FTBysXdKLX&S
zQ;2t_xT@i$kQiI7to1r6iwFI|HrF#wwLGiN74Ju$+m<r@uthg`OWy+_9PR>n>=Gvw
zL$hl$)@ji8;uds8&e36ERWA`eR-5~AF@d?sPCHf{v>hyP_Bq^aTR=1Tzg%;Xaf#f3
zO0?EMZ6wCk%@=a@xMoVL1;3!fFm8}b9n?1gO>~+jOBRg{xu*HGKfFw0G6%uB`Zp!a
zs<+V9-q%;OecAdek;w(#+w?d?e+Poj34(3H^R)vO^>VHIlEqSqV#=QyORjYqphaHn
z=`6N%B}q~N2kEWre{@T%xGD@a2)yOBPmW~!192!Z(gr;KpAS6Z4yKy^c~H3iLe9th
z`>nv)|NC1;2RA>9ZRE_${zvyH2PltBVU)Vmp5tlUM_GIQf(@5VX|0$4qsv_m{5<kh
zaIP{%;rE>01=IsXj{lYD<J8WeALOmQOpU>h4>}X9pB2RUT9i-izWOr?^Qnb)=I3t(
zu*V_iQ8=b1@nG%IVAF+=GmG$XA0<}#<iK~GH%^8bn~jBr(b3U+3vvMyEiQk4nFISa
z9OLxOJ>L=A#HRYM7p&Ly2Lydbwo`S@%}+)Lu?<&532=$V_V)f7P?J0-`4quKj{pjb
zZkpnNj!SVPbcJPouCNgtvH0u5kd0;S3^~xk9F8Fpi<<=u)V>0};>{4EU6U+rcupRB
z81QlSuV;s|2WqB0IG?y#$*`j9^jIc^)3<abbETRGVquz|I*~CU^s<mI4uu<$Ut8(d
z-_uwx*wAO#?piv^`YZD$gAQ^5=>`v<x+|7)!Fqb8zp<glF6rgqd^pBg(yj-nPva;T
zn45t_6>SEq+LyaZQN#Pi8z`HLrZ2#|90IB8BPjmo4KvjbIhBv#M6g#8DGP&?M1LHS
z_I{>X*|C=IICZcZkT;2@m!0`(oRb%Jy>?A$Y(hkXNlmU-wVS}!Igb2{2YSqjuusvn
zNv}7Z1$q?>k<d!0BZg@$Eqqq2O=ojsc;*4}lT@%MN*<(n#xmi{=K~Y8{=A61pI&XR
ze6XMIDq|=c9W&cl_<8Ds7{=na_MSF~UztWO;46{zM8iAeKf14Fkaf6LmuN8PADwQ2
z+Jk_D3>JaI*_v?~uzmEmD>c*m>!vav(&>pZkd;V5ql`)`*l_v^lLA-XE@*YqBZjoY
zK}gBManE0sH^FKSb3>H2pG6u#x6$KG=Cv`wgR&{rf94nS#+&~2c6L@DzrqooutRh&
zPbe^lsIIyyuREMy*}V%FvRpN_m_e=H7(`4?35P4Dl<(1f9kz6QF@%zbIGspdVyd~6
z+3Qx`+q~lI@0zmEsMHJ;&pUAM`}6LT>=$QmJ-BTWcc+$dko@qq=}&(d+Sx3!p8tec
zA^~Guc6wJjC&0xK=maRS_oC!Y4GrzrAr!u8qC9Dr#)$ql(RY;`$MhF_Y_w8{PFoTB
z2dh95LmDw+&|<_>M2jD9HRaskfj1FY3k#FkViu^L*S(F0AY}cH=Bg_?f2Qc}nB347
z;TLrB>qHT}*joiILCBDnIn}XAWh3$1j_9LWXpYtMKY(G1`1oU#vB`oGO7x=$aC=>j
z_hx^`QTW=oC*Mhgdb0qsk5(W?Q25h`dB(A@jW|{kpVs__l#@aqd&k#PN5(;#n@F25
zNG_aU3VjoC@a}&v?9TA>h+m`L^_Pn$UTeCkj(%|0=naRHIFTwIR_BF1hk|h)@wHHk
z<1WAqvxZKIb$O_p&PkM2mw!RfdIxnwMKYiZ?>{j=OBUMw$_qw+QD7?L+E^1e2@F|Y
zByflBk)^y0LTL<@!$R;Roi-olZKKDN*SZXC>LI^SZ<_>3Z#!6u@>WwjGvQmsB`A4N
zel$P97W&Hp$?vhnFxUnz+(z*;R4d`3Klkp(Yv@&s!AP<9D5IN`%gNZ#Yl#f2;(v7}
z*3EYMRbVYh1`uC(k*_f49)ix$S?GbYvsWG2u=+iFJ_~FO9)Rdn^^3;Le}a~Cf4EBO
zIBD$<BWtOpK{ixaH>z$vP^|0DmOl5>=p#(h3m%lTI9{_IhdaB0P^a(^W!~;zWOqVO
z=sD_Mnpi?;3F2Qv!;F>16n^c|3+8odf>z?&2paENe_sv>+Hw5$)K1F78>c{f>VlO`
zEx-ZTW~}B{ff1k7BKx7mu928v3KMD^a}y!rFHOc{qkY`i|HdDwhQ|a*CARKeTkS9i
ziIp=OHyxfvNp>^E)!kmRzFA>iYr05#u`9P{3y$^B{b1ObNGIyMzbPyRv-UaR24%uj
ztpM5b48-i=-319t5yW_vY%Z?-Eu6(-{mli|8;kL=#U`6RyO(=Dm#vhj2qp>+Tc0P#
zt8Y-D)Ys7YTtU&%CiS&r(^&Pp9z_l|!k{~9T05oLqoSh4Lq`XLyho4J2mL@T4It$M
zA<@$E>lL4_3#vT39RK!ds452>+$In?o~naRr5(5q@AG|lgRKbTMda7l?ml6GQqDf5
z`Se{^Fx<}1l8!z$2{GR+hW(nbxw8`aLQt(P3euPy%OLi~_+m)zY?ewJi~Vp7xo^Gr
zDse$h^T}d{m$hvEFryL7Xvk=xl3KS(zUwg}tbkg8O))<jk;JhwKSiErbBc~?-(6hZ
z!TrVHt-9Lb7Yo;h13q^8Yw&RnX=Qod{45!K2o9dJ;OV_3MYPe*j!K3#C8)FVNq4;`
z?zNfj7Lko9w@_Vhj(xtKs;mJCS!0z`8Dq!){^%Mpr2Lg%q%9DST4YV7n36E6GyWN?
zZz=Z0A)72u@|Qk^sY$zR+V*)gdQWzBgQW9sE)pkyYUhb14U-tmpXR*ow~EvQI?yQ%
zm`RHfGG;0{<sbJvNIEayRdX)0L4wA(m>-gSU|M0b@}vR8-;Tf;Y!C{qvA*PqIy4Iu
z-iKbq{3+>&u5bKDceCen>402+w}Kh0i{zKfxI0Rf7}mU4xx9<bE0#&2g@_jp)JBj-
zD1&L+ervZXC5skub6HKJnZp~)wdoBtQdtf!JpGLye?ne<cz*FWHW~@Yr{c)g9O_4k
zQ-NgDlS312gDRDk{;x;2f~4n2reE2`+|P6;ttgRTf|?B;3E@`PTe$u;X}nS`>L={b
zyyr1VS_0gVV|vaj)uc)xOAXEA&9v8-s{+_pS$*d&QIj-9{o5dubM!>xX4{X*^6Xnk
zE;`dE0k)ic8=ikX+;#i~B(~9{E3Q$3XrhaK0?U+1BGQio+S+M$nP#N4Vsi=)A%Shy
zxqacH#C+|K#9CZ{AB!?Y$$k&*O--RZMG+oszsL3wuZ%lI705@FopX?`KCR~=&&`-5
z!s7g9ck6xtY4W<Nql^tGfxo-6j(S1J3@BRSseOwMLTi;2ACttcUptflcRADMKSYE4
zt$x^Wy#W(@`RJPC?)F7+v><3gxGih$78>`6wz9*VWfG(?a!(`S?-1eF<1IwZT_BB_
zgd(`F#AuEX)$moJWwslsc4NCGK|SIiE)2bFkm&$>!~%%dUwf(30DG3DHA^3!a-M_q
z(-!_6Nq8v5+N442Q&o!7ywYO7$j$|zhKF?-1r8T?bLt)#Dvu@}J#u+Y2l&nT6}1VC
z?|qZH7H!_n55U{e)%wFe`nS`<ES+?(iqVeFG@fb!xgM-j=DjOh3IV7QoS?1u<f)%U
z&KtULQt8$LH8PUwU0kGGKKq7q-acj;4aFx%(<(k^_Z-;caqlqmA0QQCkw-{ohdR|J
zwoPr5FxmaHW}v!E-Z&!bJ3tBdAn)QSQlxZSWQjl8tTwsb1KA3#a(aBa=7Vwe$L}mG
z`WX^?t}1-nzJHyFK{PgjF&0eKRvd4W<{)10Q9##RhL?qwzJ?F8=ij&xVlsulEqk&E
z`7~InsaAc{iE4d?(khHp-9hsrTY6EPl~3$`2XoF32n#d4+}-9uF7`qnP-g4v?P{h+
z)Z?tiRJK_>Zys%S_e@V!EpH_6|Ana>pukDr2&q6tJ=fHZ@}6Z=6uB|7=Px{^5f!d*
zfTEm>Tg<H`J5E#XjcQ8Z^5XX6*k;VrrB}?W!WZ;aubb$vpPPQi(#_bsa%vdEDU^Qs
ztby4lkA&Z*fAc7Omx{IRi82dKsd+TbiazF_vXgd+$OA|I+QgK{qtrJ518}(_lr&DT
zyhh{6Jj?J$yyt5|57jY0;i-I)66aULRhyig5KLk~-ex*sBN$Hogb?+&f8{qGtQ6wL
zBdmfH1>UL6rkUJ}XrQW4`=qY=6W1l(N1e^F-=cXN-x?jsrI?+Oy7J-T8F2#`3>0!k
zsdwe%7_BwB?phCS%Hm-p00C6U#H!1Q{(S$+Vt@ZrEdIPbKv`lJYPe%M>W>1L(`S6M
z_k_ybJP!Iyq(o{S|ISGFh}1LT2(3Q__3Tox8D=bT8S&Lw?_*yva3_9U@yk`2qF3IM
zf??fAicX7zX--6Ld`I6|N>v2BG!8l^_;3P3-~lP_I<Kb05f~5*)u8yey~b68BzFJO
zR&YAhBE3SbW3ac!Q?UfOnIDbavtb*-Dllseg)mDfp3f*dkD~?_@qYnrxX~!Fz9)}u
z`)8Ew1^17JK=eF=_|?^pI=ct?P#4lf#<0K+SatIMO!XqPlxgdWv}1*1A&8GBhF_D*
zEZF@Ys>A5`UZfoRL$uso%QwkNBIGtel`RY(SZwT_Iznaqab67fsChc-;QJRr<l#~G
zDT!LxZX;vDkmvT}*d5OW_#LzUsZu&?!1m{PZP)ix&=?P_!R3#Iag8HlIS;oPdXIT_
zCWdK4059~<T3S1-GcH!Mdg#+Kc-Pz{rN+km(TUN+@2EbZXI>e;apT_}%(A;sKVclw
zaFeJ-Fa@9vx08EcF`dZ$_!O;fwkDo^4Eadn7y?vtB!iLjn{t*TqLwjGlPbM@5u-NY
zeBmSP&Q9{_^Gb>#vQrpa==>X0WjE<NL6wXjFYv*b5NzGb*>LhzuKr!*;`qHQwS_?m
zMyq?sZwniPzc-yjiuAoItrstyNLDxHR&Ui3)zT;`4|Q1|%spFjw_Q=&U^JWV8D!aF
zO<J#@i*mbZN4`rl6r%wusJIIoLt9us+m4WRqRDR0h~3(6>~aL<qA+~Nn_S5{f&KmB
zcf(N2`{cU8UiK;OM`Y8;EdxuwxWJt*=UQ53Ju12y=Rj0w86;-xxB9J-uqOUgvK)$S
z^TNR{jkQh%ED|Ne6mEarZ<_Wk!E_Q+I!Z>`Ay2X&hsn_1je%2v4}{TcuGC7*`Y@<6
z07{L;mDv$0sfocHf4%>esHsid0<=SR0%ib`^Az*vWAT4<&(49->Z^fl1tGO*sNVcb
zA6B3WCN=ea`?(=m%p`A4kBK8GJ;@_}qkGwvrgFrdKfgbPB0hJTpT7|60M;$7?gu&{
z`XJ{5D8I1Z*dz{eNU53}h+i~0B6rGCPo9Gj597Anb)Dvav?DA&&8p&ElFCaJkwc9E
zL^_BOuV@kgf)pbwJJ<;5`dayCJ<(s!u;4j!KvCjZ-#Hi(!MK;++m+SeV7_ql_^!E1
zaI9n8oM_ME(XYp&O-||$Ppnq{_V=2Ph*38)CCjyD2saHf|5+RU35}iFL!U(g;Y)ea
zz?c*Qvi>*#bIqyvBU@m|0cS<w{i|u5%)6bl*kwcn_!w6kcmSs$ra?Py&c@nu?ZI3W
zQ$;qykNL=S%EAj@w3~2nA3Xjy!D`e5+J(Os&`4>8yM=#w+v|RuGoMWHn{I4ucraZC
z99V_AsvEuMK;0jD=+CWdLhB~DeemHL>>cT2twW8)1k^sUlN5n`f*KHA(EH^)n8st_
zJw=AarJ_eYk(68_oWjqyV1CHTj6e9`(A9gGTxMWOFt*tFkB%FBN>7BUf1H0=17SHl
zPnj$A=}Sm-SkcH6xHrPBzdi*?Fh^cOw*G@NPZOPkTB5Y8%SNz(C;bQE>a^@6!5s6@
zr83efLS4K)Y<lMsdKUKvUWR!?F(qubH32WPx4}v!{?j%iQt1736S6_9`PP<=sJ*Yq
z)4-=Jbo4=x2=x=+{GZ=Qb^Va-@VAk^@~a0B(d7KJ99Ij5-+Z7MpoBp5K+n^J&Uqsv
zXg4tqeBp6AC^xLfBTR8%+&k!e9I8SoItwO--y92-B_GFZHa2N~YuX;h_-~dd=3koL
zP%e_y@nhL5)*uEcjFSBD$v}V=@3z5AfVaUJDGpcbp)pN@Yad@74`if2e;LX5<u@1e
z^~+|SXN3++oH~&N&#u?r>9`3b8^yTbC%M=sfW8bxUI{?|f|IVt<{$n$T{~*!5;d=+
zunVUb7EvXdU)0M8%barCDgK;b>I6?w@2B1dQ(FAkMdm~g{B}4(pbXM_h#j$t-)A~!
zn&3Z8W8<fO57vzb9@^TsVv@rvhN{a@wi2Kj8@h}MiAB9yYni(4vZUpX{`6o6=2+r4
zjB`IqAs>O7zk;wGj&a$Z4ALQ?iO|-$i@^TYMQiKtFS6yRd{BV2h|bj)VGMm?#t-S}
zI1gkZf|<YjKai2p8<G!EU^wC8ob`^K{0GqBfC0;R()s~IeW_{BFhxIr<6y2-7eFwk
zb2L}_yOE6>@D!(k%~W?!@xmTdAGTO6;JXC7(Z3ldZhQ|BbX1bfFfpfQ{4GsO$1cRx
zHMxCSp^-jg=T8+>pE%TRnU3C(IQF47(jYP&sEKl*@K3?0>fdck&M-W@De`bFE~HoD
z=ylSu#2B>hI#5;-%q{wUbH+JY`gQl!R{M|I78wB<JJ|l+KhI&k{-?*7+ayiaqc{2O
z1sq%NO4ht&sn>R<yM8uf{MFbAj^vgVDeM#m37rqc2tx7hh-O~JWchk@18aa{gm_Yq
z*_&Okle%5AXs6(Vqn`5TDYLr!i+ku17)h~fu_1$t`Yrg`yjoEr*PQqW7j5{8KR4Gv
zcvo#q7nS%Rghxwz^F{*am4Rqu<6xiVjI!mF?=SQLh+~sH&@*sH6dXys%v%=p1tbtN
z>DQ?l7`!2ExXMPMtonL3X$L2FlSSM{>txMw*(UT2I&{lb{d=X-8JkcH=;q89fhYbP
zF^ns%elI2Tc9XX&Li^xXdRQO#`}4ifIsG;wx;f;IXgEF=%S5r)(5!5P1&YJPcCI)c
zzfbP))TNh8;`uXzsfgAvJ}6z!kdW3rsG3P?`Q_Lz+d$+xx}kbz+iW&vlCO$)VLrHh
zrNojI4o9{?FwSt2J!&d+M0d30z~8S^)O-Eoz)puOFa#CLn^PWa4A#Z;xqlNsocAtL
zO#M-HGkbjZViNax2{C#e{!mssL;j(kQ>E007IV=azXDDRR>C@7#W;%XB$8$SaBRZ?
zovTF_>9~q<1fl|JZO5bK0jYB-JR?3&2K%o@+j>AYrTK{H%xvR^D*x^yE8DdPF$OQv
z<ZX78Yya5z#%iWZ4ANvAQFg;iDqUylrzcpyZgVU;DEvVQpec=4U1tRMr^9Wi(Yc71
z$QIoOW7=Ea`iQ&ToA6J_b0rk2>--970FeNG6by@Ku%4?tieE^fY-$-G-(x49YxHx*
ziK~vu={-XpkIv#&<hMez`T|kCO)#%)S`755ZWV2y>MeBld_9PBVL_MEVk;NmKP^!t
zd&@`ARbd~1MKK+isP8Q|!9lyzJA(B1xH=NPW3mj{KR~8H)3C>;62z><tH}fiJ{G;u
z=-fv|W!+uTiKlz<aqr0^ol7FGC9-bXqqa?30dNV6g-p;+5<pOsvOno!VViH0uW=>r
z9mC%)D1mpQ;OdX8di#}1u~)O46n(I`CPzNr7*anKAaiJO_~;4bQvuCqWezk9Lgy*B
z#~z0#;|E#SqK5Q7Nb?|GFp=Ds(liraa`#5=Jx{(DZEOzF_ear~8j0w3EB5o#4u!Zj
zd)tft6rHP0$>0)3f19pR^IRLu7hvxLE4QQMXXQKWZCwgD6e_%`tY>Y7UFW~CEXH(V
z<i{UYFRrCh0UtK>dGK{W*Eb?VNG^79c60R@)0*xUO@|{nKsjSJfVU<%_1Rk7^sKkX
ztf_K_C-PY8@u?Zx(1p`Svv-?h%h|>vQVLICemRcS18G-iqEw7N-(B$Ff#nO1V1yQ6
z=cm{Zjb~gwmlMygb>H5kFW1th?(t$wD>W>jY^$cpyFbmGp9V#U{k$)UOhgC;KP0|r
zQUHoY#ShGL#u^@b__y!(X9R&6rTGpg6V&JULw-(*dJA$?9e63{3%V`;L9IND{}qS|
zHWEo*0wl!JTpjD=OPpJd2;Y-7O&OI`Fa)UH01l6{VjH@IL4Ao*?459Y7uj&x=(rIH
zO;yPHYZ1-WXtR9(J=>pBI;1Ks9>M!63hx$i%$E9vG0$QA03UKvtB887AP0*2<D~n4
zczf%xrr-Zx91|r)K}n~Agb0XqPDNToT0oeBl2X#O35X~)0RaVJbPAJ}9F63pJ4QDf
zIbfUT_Wk~TuJ8Gs-#_P{@3}4~u)TKo{fx)6Y<f~5Kz?OUroP=+(mX8%hE~udOkLpm
zutXiQum<~p!Nbg~WS}!C{oIUV>viluJ`{SLKI|sj?>F#a5tK4Gkh2<`{glb+;5=L<
zynAYWED;g$<5c-I!#0Y7i4)JGeMPk@Cs{4RI&wh<3ypm>+IqmGc#isbwDs2DUhC|o
z(`wY+$zcZ1W!_w|rK1(4T`@Ug4bm7j*Q9e6{Uo@HqR{6KQd*8-#Hs=H?P;Px<dnC7
z3lo+iZ@*(9qi(>FF}_7%IY5&*S_*|@ju8!K_a}3_JdSRhn+v)W0F<5nh|Oo7P_IrP
za~C|m=x9=~c+}rq3%#W?(y!Ztx4G+ZZQw*X$oG29zjNq|9YTH@Zwd<$#LrP^?h_cG
z{NLGk#_b5t86N(~v4GCl3~rlsSF4OfxFn}m8?7KnoCWytW5NA+yj1AWHH#s)^S2iq
zzxsL?L)8%)q`~BoV!`+7bSUE1P~Jn@m&s;Tt?b;~JIQZpZhY;Ne6TPiIX@R^SL&%E
z7ajgf(k~_FxO93$H~vwwrAy=p^;Gmv4tC*u#gLo^#49mn?-zHUnM!FzbDz~!d`Ck8
zg2^jv_#HnVa<U)C9IfX>!hVdC+xTOT%KJ5N`UHxp(57BD6e08L06l>qN?Fb|5QC1d
z*})lq#!Dqr4_=l2T){hrn981E{Ykn7Y5u~C{9X3CC|hvQJtll9!KbtOaFG47QV_Af
zWP6WfSNi5Tg)8srL=Lp$EtCy#3XoEv<Qs|(VUr}*R^?DPDc1V?b@eM)tm7;dq$P%$
za?*Zh=}BFbvD7V>?Vx4gQt}sXE2eY-=%XK16!P)5(6t@+f-}&v-M;k29gEYkkS$>x
zad@ZOXJbFhHa0-!469|r7`m1P8gq!K=QWzZ*ylF3y$)77yP?<Vd^=P7?!9yK)(OqW
zv^`Hggoz$kt4bF{h}0``6FBqAO|Is<sZyz0^L!-*yY494yD~+uJy4J2Sa{KXw$^w5
zJo!6hUx}PY5}6I)7EW3UQ_ym4j_bQnfXb#P8ZrbQbND?a$n%R&htvsF3IVf&wQSHX
z4^1Vwxu;u+$G)^RD8@ZOw>8SA_N&uFX>YQnf3_F+wZ}Z7Al(>09GO>UjKNGMRc{u|
zYs!O|N7*00xba!Ul2&%{Bde7%!Kdt3Be;WSF+fGI#D+~@f-_Tk_RU!c0~d`~6(M>K
z4%a`cFV-tA^LTOzwqtCNV;HkK!b^`5yDK-QPsf5ZAkRd2(!CWTfAuYfh$9C?La*K^
z84~{pZ}YWxZvZ^=ZW-Jh(V)EbGLW_=xeckYjb?`TCzK~SzAPKqESU6RUEpS!L2*Lu
zrZ0LWw?1{JovwIzpQ^K+w6;?0vui0=o#92y>5Thz*fy&?oK&cd+PW$j+av2@GIeth
zTIyu}K=fy{y|C1{vDM&p-F#<H6*tE;I0*KrfNa0Vj+;_yf#q?xQ^H^USlE1N-xhCT
zy}6PHB`l)j5i{e+LnXupP|(bW5l62Q>Y~Z<uiDnPW_nSFA%E4qZPqn^$14;gU~K$G
zO^RkgtdXF*AFqDs_ocWMNZQf=q3Q_Y<FZ43mPU-J?tj5=t(W0(HJY<}9z$@Sab=cb
z>Ns1DlqYIjC-{;Fx6vO!b`ALDa_VF52HB12^k<XG=b&#V>_O6vifPuK+&L(n*Nv$c
z3oD-_vprJ&P<5&+>Yw)I=Ods4b&y}HD{9Tza+NzY3qu6IZ}uJxe}v9dDe~8yw!KRG
zd%eQVKJhDW+d}zI#!G+(zNouv9~?J!pw#!7K#9l>Y$Cj|pI@GD=t0m_rmpm@CA1WL
zrnx%1Y4Bd+6i>+oDpI#ctCXFn<|cct<T|_z-jGZezn@4v|6<N5?DBq{_>j})qU`I0
zq&&59kB$ek;;n-d^#FMafN6RmaM+L<=}>Vpt!mM!?5J1lmfI|0crn~O>^z0h%eu)q
zTsR_I>9xybW5g2SHLA6$o^(*i-ocP=>n{7c5LWTx;tPF|AFTP>d08J{Nvszf=Sz=y
zT8`>phIZtd27-#M<y*}nM1$#KK4e)0<yqA7j%nlcZr_Uqk<~q{o|=uVrn>SWx*LMT
zKv)}QYZVZyY=8^=iXJ|{_`-{{R!h!+bPxuA{GrP6K`f8vW6j1rrk9N8|4?nZkr~TD
z)P=^n6LEMxIL>ekZi%$R%xJNYOy|tFHNzeKRgP$%P|Jn=$|u|3!cFXRx-Av>Y^^il
zz_N^U;L5+<bK$LZ5~Fixs`!G~W#1PdsgV|C+j$Z9Wmy7OWF;~aoa26|(jf2UQBe$h
zWL)$u<1b!94P~hp54QO`y47}bSl`TB*Q$(PGcM8!EukYiyY?sary!T4_P2*_)RIdn
zLXY)-!CH(O)TCQ^xsQxKtSYC!x4u{XSVlhC9s`2VmB`h{>V6L^**s9qWADD6LLWVf
zT{5bm75t&pMz9X(&$Ok#5&1@X?$h{L&gTn}s^U?Pw0_g+?}VeY3&gp8Fl`4TQxC)!
z-b}ZRb4O-HsB&S){+8czH4%e%O<!1N*P0z~ZkG+8&+&cQwxdDj-*JI`#^7H^{sd`}
zE{hMwxM(IR&LiJM13~Av{obPv*4aYSL_1@n#cu^zlke!C{WX(mpX`Klt*@f9CQN>v
z(9B7`eA=Dv9JB`$i;bY1f-u1E5c8Yfw080a6_`Jr5oX{{>P6h6N9bGVazG;xvM~Hp
zSO_&xQkgAhUs^zUxpcRM9#00;H{;X6Irrbn{w<+sQWbhH^Ma$cp*+pcUa3)1>FAfX
zF4s>Ac^ruX+%b*=Z$R{ti_Vxio9DOIaNkfBpO`k6C6(&^jn*k@wr<}m>sJT>x3NZ!
z9pIM2;+}tcx+bdZ85FSZjf~|*%m{1a%mo+<mbe9+PtHFVnN%Dwd3F-xU-J9;?m^bz
z;FnV9_fE~`+CUl0*KIdK9x$F}iqaF@<RX}#0`$3`xCi24*^V!QJZ6IGi{|ACaUfw4
zU(kUzs>PK!T>br<zt$rOm6qTb-sA$J0Yd7=H{?6Y=lZzC(^X|&^G^sJnPzIM=Ncff
z2ze-87cok48g<&QCm4m?0Q%G91ed0kLk%nM&9{)v@&%IM5tmAb(c&K}5~tj;gj8tV
zg=NSk@wGR@$t;QMvH{BN_Qu*B+Q(>Q)|?r$|2%HmNuTRB96Du3=U5qW|3#0FetCt<
zMB2u4o>nUA+L!9Q+bwk#ZQSS%J5dfL>F2CcdZoiM$QY@it@W7bE!Nj=5@vh%#qK(C
zCs(fNe=i-Mw3zocbk+X3(b(FB&{(~#NKG7u-K(+=BHi~>tKTkN(WZ2U#_I~Iv{xzC
z0S3$pAH6`LCg;4wJLY;WESt;dP)&`f6%Lb4;oO3UMw`rv+~s;*d7@jeF6H?3uLQLE
zfJ2!n;|XHI&}!?epMkE97NS+3?k`Okt%d|*USnD9FlR~=Ykh{6)P|!6Eo%eKSvAs6
zQ>42s8I+CGZAH5J0vF?NL6vG;a-X)dR$lSwE#feB3wUF{gdJl)==r_m^&!dw^_7+B
zFqAY*EI79I3Tajps|sDxuikzxt=9aGjx5+E?{fT#nEoJmtnFECIMadrtUl#zZMa+}
zTTVr8GB1PhuSMughR<A9x(Dm#=>!sGaAC(0g^}1qmBKd8=liL~VoDQaGI$p18zg4p
z^}J)Or|QD)HuuF{y_1C%{`{(EoIUkz)~20n-6l{T#Go6Hp1POgDhOrh4_60r(ncg=
z@xSz}2O!CkIo~neG_BL<<_P5IoEe1VWrS|>T|6KOF22DWsQHNeBAd2A4h2gXkB*_;
zF_V*-nI-Mq>!CM=*R^S=c@jvP<Vr<(=*9`)TM+h4^{y>JYhRE``y^}K6V-uvio}r;
zkfZODGurA=qaE8leGUoJ9|L}rQQ@M_k>`+Uggpr&>EKle&8X#Iq<voKQf_x2^y^`*
zt-0a4TA%9{#YZooaZW*XC|||+%MqhSskF?7c|d%kEG7`cxT(kwP_cs$p}}M`3yR<~
zOF5-G6NnQai|dwTP^J>D`yy7m>|Wf^oy;0F*;_Y)Pi?at>VYfeOa%X*Z`)Ad#fbZE
z_zAr{pi%pE3Hl3#yp5nCn|#~>Xnp#H4c4YbPd(&q1<fM5!D`DkB0KgY5#(xU`v#Y2
zHC{wiAe*n_vHOaIsWiyzVq3H|6PD2RPziF-OUfr~8OA_M7Qd-zlO8AL0`H<X!^<er
z<?6QS5lG2nWSSsukNiT4f3^K$Jd{W<AuSC;ASLBV{S+k!;A*;1NT*W#4pW2S-uTIf
z>jJ{XJusxc6qhWsf;KzbpQFQT0R~BjP$_Pz0hq1)sf7Jn#vW4d3Z&$65SSQd<I0S`
z$QjBc+PL*Tm+H3+%G=>xb*63N)h{eWAu#_R_$3lAq$0a%`O))&f}N>~l<heyNDj+!
zYqX>M)!lsCb7;LhRHNy|B}WCj32jhM<6HEOUYq1Xi)%A29vg%7A)Nqsug+cw80J;r
zyfse8znreUv;JXf6AUMrO7>x<x)E}K*leipp@{rfTI?gHcetXjxwf(}Au^xAd91~n
zUw$cV(R>KkH7=U^>fl`dkaDo_qM;3%BvkuuxTF2_o9>Y_57wt+-4!p96KeeDn%Gy&
zX$b(nmp)4`Y-I?7zwHiZE3C}iWu97oEQAipspQB0TH8baK+L>{-!S8&&?wCqJVKT?
z`Mz$hcs5=MC@EJVM?Dm;;e?zLdH%YN&3?I{-gi**)e?E1dKX;?ok_&tRi`7Ssep4m
z_B8RJS=KxvbGeGXztf#<z)&+V;!-M2-nrGLTBd@t>t9`<7U{2P5MKj^r&1WZIf8BM
zbDwJh|8$Kv?b`!P{ds%z+C31Wj2tfCD`ejWul->*ye8pt&GS#e^Q!WXph6vG#7-B-
zT!_}X3I{m~Hh^dW3p&M0Jeb+X12@85do52DTV0RR%4e-TA-B}_CEC24fbWO|PM((W
zeKJD`brAV02c#>=SVI?6g}JD}xM(rmG;Gq{DU|fRShQ7=8>-z{1!bW0)JYKxdM}$_
zBHSEt=f1PjuZXybUfEJ3O5sH4QZ8R*{e3&|4;7Z<T+AWONQic6F{Jwa*frTR%B<f(
ztj@kV2$B>}W&vaK1KC_Tf0e`N<X`Z-^ef;^CLo<^L&?B3CGZ-h6Qm7zg&dR9No)a{
zn7Gq<uP_bC3b8K2tV~qULyh-*)yP(ip%zJ$aW9Ohul3zD^$(SCf{b15*fD12bE#0P
z*I)bC+j&DDV&Ie{1zN9f-CT4Q$GKmaq*)~q|B3NHOO0Wy3Blq3i-U9xT=c5)SpI+s
zejNCFS@^o<Po9qhvTB)ZYO9Q=+41&JBCk|^qS<46EYXPl^ueVLD~|+-*dia#%<-`I
zteKwKfaC3P?Sbfai_a2`tU=x@lm2<6gzkRS9(L`mkG}qV^uqHo->+lT>#6wu#ulxR
zfEp2p$P-$MicpQ!(yh}rCU;uO<1@$S0v5*8=C)Zr3~zVHL}6qjGOxE9S8X%;bdL1F
zUPdsKZ3+op*?LgdLDk}2(L%Op)HIIAPFAWlM%w%6#TL4@)Nz<;TzV^I*;f|ABdHV~
z1vb7_X70)`f4;zzrE)<WcC2trxkf4q0H9SCjK^h1t_18%O?=)?0|YzxmJ1Y>9n-^Q
zAf2S6Cxe~`#ja_4Pjb}_5sL7hVe<MLCx94cZr>sAP>@)5Eg6yIqumOl)5O(kIHY{o
z_G;50Aef%Tc`Q~hXJ2Y7sFqn<n!KJf458%Rbl65HsYzd*`fTWFr5LiwNaAn;=Bn3!
z%~fN73_U6_0yu0jzHNO62X5690P6sI6?i1bq356A%Zh(JFXQYEoJP0WOw5t^OO2QN
zrpCjfvI{MC&f<2Ybj*dt$eR!xA_1!0`G;!$6F_PI+PC^$6`oe|Av+~lCMP^Ru(u<M
z`3I__y{O)3S&kCp<PJDEZuwZ$gi&aO2sM5e$)Dv_eVJ25_5j{fa=X=gTI4h`Z4(-7
zZ9)huUutXLZu^RgMU=I*vMEZzd#7#_*evi<FnNzk`P%~9ywDRz!-;XH`U$IcV$Q~1
z5U*|Z?hDaaEY;P<YMTZX8ih!q*H2|2BB>j&dx!?{Iu=CZC>dQN;v{Zms&GRoZ}O!}
zIa4KqKrWj(=OO8h?u8PsZ#7QyJtl;NFCrH|w`GpYaD{B~v{9r5vl15``$zSvNW~sQ
zQg6IjhbC#Co6XIr#?-DEUU%p!TTJ4ODD(RY7-b&uoxJF=fbnuC@2I?TUh6xb42?d>
zfRO(SJ1=xMmM9#L#FWBs5S5y24$Y*r;*ON5(>2ELLjw)p4E2J|36v)3?7<QgpOLd*
zPR)W(?zipxxc#9j>^Dj}?=5|*KgK-Z_=%$8b#OLD6c{Ng2{pa*jq{S;YsN2uHsidj
zxYU9@6fDBbk(rz}uB!K_&d3c9OygBh3?d(a=~SCe!^pX>pl~aZJL|?R#>KsD*qA3I
zG2w4`(<vNw12zV0J}U1KFF4)Ix^MdmwwzUK=Oal%&BHylXI0lG?pl&|bJOAv$~0u8
zb1ma-3%S!&!r%DS+U}SgO2$C7qDtWR2CqwfNy{hZ?W|vA8nnV5<qM#oY9oVgJQQmR
z-zpkG5NVDV{ozz*HykahP$Gv~d)9@jy(l~~Aix>9Cz&lCKUP2*j}+#MYHxc~1Rcul
zyn;GMC2-sMtPC{xbwUyLjaSCFW3T$HthvB@*qw|DgQj17FLUd;pzH(qgGOy8Vuw4W
z=eI=S>;&VD4t3Yv#)Lg5P@zp;QNnBWT9s!L<CO`XpC{E{hhOt09ozb<35^UQe?n(Q
zll=HvprIyjtY42A#MZN|8XBLVxF4THx4=z-Hcf|ljtPSnhqP%k+t<n9n`~qii_*fR
zAI0lbm!>_bXEBtXlQ?=;P*tF%Zq8eD+dI*eB;W_U1~t&tLTek^T#986W7yz&uuxz<
z<7@KhMc6~ndwt|qe2hu)zAHHqh}Tesz6;t$kNIq)#`N|DiSEbGCYHCob{<g1D2+Rc
zzv#9uXb~rqGG1~rl&Y5&eu8vOE>zWzto<(PIb+?Ftq#4D>X4oM#s$`A1d2SwVW{NA
znN9sf@crv6OZ8UZj(;pXZUXln)&!x>i;$|nda-1@zq9{3q)_mxPZBpVrUM}=tKFn!
z|146w#MURGt&7!L5`Eq2mysn-d(?E+>Ek@qf{2(MPfnz<6?6UTw1LT{muq0>4Gmha
zGK{yo@|L^&VcWc*s(Wn}VLoS{$^x~8dXa-dP2=w&8T=j)4e;qLQx^zr@Ajq{j9cJU
zk)IFt7jJ%2`x#}l+=&8pq~E2^=5gtshODvFeGW1!hs{A_pK<fl&K_OKdt_0J!0}XY
zCFK?q3z!t2Chp|X)2AF8ovr*s6*^5<>J$NClyIW+3LG$BVeg`May>6S5%POqaW~ql
zQPnB#=26U3BSjv<DX+XM?@e#^$(LVjwN!MZG($8zb%t=Mvv4kO_e3dJbFQyEAj0{E
z+~^fzVd2Yo=(B`f5rFYD$ir!f1`VY|7u@F;y~*9rC}oos9~?`%FrTvO^5uiRUacet
zOXUwlJ`GDDoyMyM6ZRQti12<+%4UZICAO-{DlsdIJFw%-DI&K)i)-M<*kd!~oYqg6
zsIzZ>1iPlq`;Y6+5QtTAylVA*m&+cgN*KML+0T!2-z-$9t_~hJMb=yunf1?8bWCU2
z9&XbPig~Jj`**X6{Kb1LrIoKZl)3cn-k`o<N;x;uh{fuSRjN>3Uv@kw%Td(h+%}$Y
zd}=?B=(J=yVRcb9IY|(Q_<+|;2X6A4W9PX9?L<8nWe9KTa&UgOxryWNWwxGGeXDrv
zZ%3(ct<#%6GB~%Emr+`@#E`S9R7!E1#B3Pqj6`TpV@B5WqTr0C^|fc#mv&y5<LF5~
zlCcsC6JhjaH4e9nMH|xsqSet{<d1Gq(1sjGM$#XuXN<o>ft8j*Q+e#7nqm{}Cx!1G
zk*ctdF!VAdKR{rwsk%<p>7CN~ep6b>ljRVSM=a1$3KOGs+OR$>SwIl^88@IJ8&JaR
z(f)bJF{3&!RtqWrnmYcdXlWbGKrJvGsy26fgsMoQkEn<9{2>2IHY+~e&S;_PoX}{<
zQn*pkW6|`}iBK^^lajONeq<z*Z{0huSh;1s_BVhAn60s#r)_FPT&ynvd2{@O3iPV|
zP!0I~v<YD<_qId+T7vM`^Dk<y+ZwAP?i=kTXaPbz{HssYNog5L<VG}d&mcz|*P1W2
z6tA^Ny;tT#$3QwT0df)k@F34xR|pO1j6J>tHx+>!KS2pgA5*o92zMI0^OXEpd(KS$
zbky#eMy;|;r4UA`8erewhJtInP10WjFF6+z$=<l{%3R295u(smcqT!l6-Gm}8hrWH
z%|W6tLtl3!+IlYgm>(*8nAML%eeg5FD{1%bPF^ys9Z>l`e0Ge($o8En56AwT+?x)u
z{wUZ_2tL3j-X|aS%+|#1Ae_qn<298}0riI;y1k)+DS;r<x#sM{h#Qd-_!}>D?y(&k
zpzaBFwP<7*NMtu7D`!kR-&;(RPXQyZM!=!!->fs}Rwq`LV@T811^Tw{zdxu_<dr=s
z?BG_3`MDF$_6rAR+otSE`2^CzX%onqkt-+nNWp53Dm^C(DR#BPlVFL#=@|7!0mY<2
z62SSf$r9u^gpDAKjhO%B_d-QUaWd;nX;el`*QYboJSX0Y!BSl`W559NN+Q}hgUPll
ze&Zn>P}%;Z($7ijufNAe=*Kwc-{DLEbpqn9H|FFFH(%l7ek1Z*$Bms!-k7(h0P`Ff
zbQBWiPVcjY+X`_ii_pat7H$?gJnYlv=8U^pGE~jFXaAK^ObXXx9J*@7c2^C-E@LV3
zk!@KM=M+Gp#oO`skpyv*3i{8zC7F1kHw%k<9d4%|o~gO!VQ>nh(Oz!?8SN^Z$ovcM
zJU$e<&FKYbAN3OTB8!+f&q9NrKe(6gA|)89Y~S5W`!yjypUwqRVWO8C(|bmT`o=d%
zXq}a|m@x2MRik`H=4$vP!((+`)@SZ`<t<uN^GWqV2@($vbT3hgFtQ;CqK@)NNX_?2
zW6UL;3hos(Y^V}nr}9V{+ch?j-9*p!<!e3KflzLwhP}icjCkb06|Od?Ni}auY2!$y
z>LH<rvG(NkSW;5kmJgMH6mF-QjcjLZ*|wd<a_HmFe}d&J5FTW5(3+ohIXIq5s%EOe
zs9Ax;-|rgq4bEI9qKo}n`{tH_kuy}gCw)hanlzi9u-0+VEo|YwY)On)3EiGN5YbtI
ziNO0Hbho!Qgc(2A1dY`t6I2T0elSIKEY`gwXTh(vq}xUp&EMfJ@OdgLzuu#3Luvt)
z4cJU=cOFlfkTUks@BRF($`isvsg?Ts>iWs~6fxeS@8%}Il8sNl9Ryj<MA+AKVpi>!
zGXvh)Ol~@BeE-&C{umZ?*q>WWKGMS;uD}%ZiVE}f4yY;gz{2)f5)Q8K-i9~O?~U^t
z#9^Ffwv@YN74L1Czjv~~oqjAh1?&S(hf1)2>;n~l?E^JR`*7k5@42mrEAdvm$6OJu
z0~XR&^%R2zBY;H)QPxPkM~WtixLct8ln;oNN{ADQCD}|{>*E6UezZLfMHG^1gAp|p
z1(xfm%TVs<kmtt+eL)RBV^W~XZR9<e|I=;<Kq594)1ALt^lv0s>7V(!A3nn{pL_=X
z(C;Bpiy$`#=oFW0bN9?2Dkd$(GVhyhl8%zO&|BMbbTmu3{8jBzf9rT~&${RtEyzc>
zR)mx4V#S%(A05aCm=EGWa%QJidhghnhJ<kQ9hPv$u3`67L<6^?u>DOFUm@WJZPI=<
z8|l4${+hVan9Q7Ku_Daiwo5p$#F7C<8t6#^cKu+j<C|W(?Q`3k=o#7A9#uk@Cms2U
z4f>NJ7ovfMq@R4P=;v^aYI>73^YTs`jabRGYq4C^H!x~$i8uS*mW5v2`!wEKq>`Ru
zz<O#o&+CIm{B7Bi!q8IVly4}LGP`e)m|*?4q{=^3yl7K@+}g9n%wwA>coqhn=9!#i
z03!s)9KZ5vRr?stB@pu{j5GY<TY!9(!MjZ!K8wWQp2E4vi6m;LS&?!?BVUTdWOrMl
z__lF+O}OdJkJqB@*<=J<m0vRj#j1^0k+3aJV}gwd=#O>WriF>wFc|8G%Fl`lTbUiJ
zxqwYUu_jDWTZ;(mYf2X$@^SM7=Ov3}sN_kE5zu^xJPsfw$+_}HN<eDBNA=WMridVm
zj5)0f?`kjFui98giUwcvJ@HINO9NvN7*P(rM{q=uUX2VRDvr2;I~W45j*X=7Juzy~
z8_l;|tgea_S=EBS1z9A3LWN<4{}Py^#j@ScZtyG=sxfSLkpBEmtEGa|rIY5Eb@I8J
zIO_E%iMLjIFbCZ=RHwS+oRzlasv&dtmb;_Z_l$u%@CCK8@y6@}JH^tD-(x`msJ<8@
zP!8>Egr}wA){X7Uflsne=bvO?bQEOrQ+4(^H@tl7;ZPxpV!~Lj*Sp*zgk{GgNEcQ2
z;rK5wLEKQh$NdE~*XDV}<Bw<~JYqcpUtM31c;yGhN5oBqC%iO<L{1FVcn;Hf$ASWJ
zWt`o7Mov9h;wuGRyHdLar!;$+g$j~_^FVxzj_4sxFY?KI#o}z-vu0^1rK;itE2S*M
z+wj-3A*n>eup&#Mdp5lRvvUD)NM9@TizK~Gmar8}_KRN9=dBGD%IXjzu??Kaq(wgv
zC|GBuHR`e_qmU;#aFcrrZeWaJ?mkxL>=JGtJ9+>=hO=-?$XN@w5wb3~h-1XfV%!8T
zsv>&QoB^+q@9+Ai|9J1lBF%Z$c|Fa2Qj3&l_tt%-uOBid?CvhcAc#*+ebc{c^Dbgy
zer|z9-l1ABd64rXR)g9@rPzTlnbGpGszW--M_2rXX%>S(HK964Q@8A*y0OR$$CKL}
z6NB-729}Ye9gY4A)!w<Qk1A+$n)6(r86o{doP4v}YfoTv3hV4s(8#rC2qfuYTwJlh
zbIE!4g5|b^hwWv#1nmubd~w&vq*PqW%s#pUF@|Z1J5tPdDKe5nYLKPKRf<xGMukim
z4?o-7>23RM`~7fY^psF-6t-g_^4<!}AgI16Cc&ECr*DKHq!skoUu?j@1-LmLtsF4c
zY3F9e){_NWnvJzG6kc<4LNl*Er{J@8rAfKfj0X{}AIQN27&|PJ-yJe)7LN=pt=yEq
z@9!el4xi__tTz9AKG_r!>&@5bG$N)-7|I(1u`M6jmA@T4ewECcdADnR+fx$MZ-)>C
zj7S#|lwb_tBFPnhsM_78iQd|zi++Eox+(}tJ41h{4u$KC7-JUQo~NEyQg&EC{336C
z6hkw(e(R~Tg{?)!8q0{MtF%}63ij+DenHS+tdXPHxR*M`=F75~eRE>w)f(zYOriV!
z9COx<C_0l5rDV@0kEm?rV99_(A@2&3JeqP|4pea&ZecuLdj=qjDkyFNhF9M@x=i8w
zLp5!(1W1kHnow5^=I1m(Gq~HsYs8V{vw+-)BM!L-dC0kNNb7`Gx)vhU37^YN&Z#*$
z0UT-#GDM1^ev$>-|4`u;z-^vBx?IPP_@}v>eV`I|Cv+wTvn%BHgtUjDJSu=^CWy=*
zFHn?^o#=h%5O{Vd>Fb*9u{Mzka>!ANINrcCW+V60h<;QM{1=<1<qZnU916dUA@XdI
zX%WoOtpcEUMX!Ldqwwkg#ku>>e1LvBU!|Cxa1b&Dte)oMO^(EA(pe;!k?%W5nMhM6
zClRaqhYAz%hpKt7(`l?4_uU%BZi6`>0Kl`&z5z7%@6ajya37Ez?j~rN5%>ZGJ_c$d
z*dWT$F!WFunY&nvJHTu++TtqwoG7P2i!q8Hg7(XZ79l7O8-M6hI)Wh4NP-ZiA_yE5
z8roSQz5Bpeqa{<raKrS&d46NZ?@bK%=8e80nmQ0OF-w$J=>Hsu*l`koj{--5><5b9
zgl#-nYpkM<C~z#}?>oO#-HYBk?^kxSoLgJ0)b26uEfxkH+EYa?kkOw<G01WkoySK~
zh!zgScTSf0=S7-)Prn-GYxQfSWu+DNJN#^~OR&M_b30^Z8jG6qV?Zb)=@QAUgkVj%
z7=s|VrBfJQlHXF3s=P`7@~(~{R_(#l6_-gN<LTq4zrrZBg6cab4u`=&n;%X8I18N{
zZov>Wv;YSNi^L>Gsi&rx`GF01moZH;gXU`fLcd1ZCYS|rnWP0D4TpnD1!0u)l*jNk
z5HNcaC>XQLP`oPy3;{{p`Og^qRs4U~7AsWobw7J=mR7@wXy}^$0buNS*kuGx0JuP1
zc?`k3!q(417p7Z4aj|aDd;ih5>acO{W!6HO{7;=n!#zP1hBxE@eXyaJFbw{4A^@SY
zLEYc!eQL;dTPx(>Zw>nEnzd}`?8a7;efIK;)LZ;o!HO)cUmAk~c@8J|w=ZoNQI>k2
zp6g005L5nk)w`$ec_|N>WB3TU(;^K$RLEbzf#3%vc*7jg?-iK(cQADbff>3ES(y_d
z-OK{BT#aKlYv2EH^r?KzHf9gxZJj2D3hp!hp~?jk`*~xq%+OhW^azxa4JF;Q`ul}C
zv@mXiF~@U8kM<>L5Kt(R@}*;H!~lRN|GNWDM96=S%9~nd@9fr2LU>2>a2JBWEVa%-
zo@PVf1Vz9sR7uM8$Kd*U{%_A;>hc%wKJ2Hps<Q^Ae^dTYJ;!bm0e<<<c$C1D?o%49
zDaJ$qlbkn35UUi?!V3cFD+sX!drT)x0@3^g_T%XvsyMhPxcP=KiZGHGO1)3Zz3KIz
zMikN4z@*iFfxD51lymnR2WJEdZ-DNAtW-qJzo(`T(X5U6VMN*?gitP)APDYIL;t2R
z?iKwQH$-X*UK*VM7K3kV<Tipj9Ey+qyN&6T8*j;hI}~&)^xrlH{msq5ca{(2AmT%Q
z7In^GHXtGSbJXF|9OJ*sxeN{r$Om>2u@L{anfSlWtZr{YZIJ24hZGS+rn2Z6Z<d`3
z(!=B9(+Dh-6)fA|%~u0rj4O7XQDh3)N=;e#yHPO1SWs|&<qy?`tu!_D9-5#)dO!PP
zBfBDO=7j2ExeRym`&#r903XL-W|GGeX6GIg^i!)g@qaJG8~Al_t$`J@;jW+IcL|Ym
zYw-b9hshVeErCp!M(M%P8Jk_N3fty}H`IO|ec!(Qu1?#0Z-=*LA^Y{t7OZA$n#96L
zIe%qV)e?bEwojY%B+CBH^>JfJ4m5cW5a&pdcH%7zQDp)Y5Z$%6OywUF_|}`Y<$-O8
zm&0I9-jI8zFkToO1~U^eN3qERXPgVHOPej?pSOTlkg_U;X&6fKsQD_Gu&o#ZB+Iko
zbf9sdxjG<@_NoD>eS2__(rrYc$7jDS9YxD4<ElAU=63i({Z-Cos_@`Do?d{b)g6L)
zDtImJE07Bmsr()R+HW;|QYnSVyS*Vk&9bt+qWe@er>49s)!2CC$DI;^1}-gMKvV+t
zC|D(mt#&X1&+&%}ZEh%b-o!mtLvn0v`ftR7A{X|qkFoMIw4{OmYE**TfO)S=$)Y_*
zX{Q}7Mr3}#LNddtvVoY*a<D4axq5ThfNPvy=tj!8J3o|IMLrM0dUWAf=&nW$pyzKv
zC=(PnfGWX~FQRC`>Vb32K6ex;eBg&c9&#Kz(r$qv)!TynhN?@6@Lu!tI&GnT^3z(6
z87abPAj@1B-dE}>4}My)supmL(Y0Mw3YYq^JcuE@g-26PA@-L4fBm6zEfJM~YY47!
zvQ1wCW9SFW3W*(2l=YH**iHy}$DG_|S`IWCNUkMuVde*7-W89aFl>P9cYN@F(fS<b
zZ|i*H&M-f1$|-HY9Tn+9=1_qpfQMs(RLN~Z2;zcy&|F2pCpzL<1BR$r3T)=F2O=a{
z)V?>c)f(WSBtR$D06AyKCMP47W4-i1dNIt=9#pRl(2p&|{MGRwxmm!h5u_-BLPZ<)
zgykY(DX_{i2@WO`X&CqQ_`aV)=;q~^wkc|wV!?}k_pRHYdwqX1FNWw+uzdf$zv};X
zqDtyR(;#NRg)<KcYLjsK+ljslC)?$WWIk2IdvKR|;Ev!B-io(gpUgXXNA)9Lj}LNJ
zkp0L7W^V*a&S5MN!7!Rqb@44mB1EZgJu|5=ng9B&0>N9Uj<p(TjKp(=Z$YN#bEhcE
zNn#Wtbj~QCV^t@WUDs~qsu72a5Z#(wv(@Kob2QOax@E%!iLj3Z=NQ}U!^F2}uyD8}
z`Aa}nn)(VXh!8?H<LGz;H|15W)Zd28pgQrc3$?|HLKj~Z=}c%N<98(XD@bA$fzV~s
zeo*$5B0f#D7CE&9dj97Nssl@t)I(P+XTQ80E3@EhN0-FxyW+v!{b~>BVI3o}KLmK&
zMFCl63J^QcUmoCWF&j~Yd9m$V6PJR>f@^4^HTFyZxb}<xK9SA%7R~@Wj4$0fo&gzE
zA$sx7`#FcQY|{CXeb3>sdryg%a7=%w?$AU3j#xwSEKv>7b+(Ce2%R$kyzEMuYS)GK
z?#Dcb_A41g0i4c(n;dxj1auC_JHetj#L-DW<)`^bw%>18M{O{E_4F5LDS|yhG=9Nj
z$R}PSwqhva7<?8<6xj7OMUH_VSp;lwVL~BwM^N#sf^GQTE)E!aUBL+c>r)6mOCB(#
zd!~?o9)=i!0f%&%Zrjq%4EImtGf96x)cmgx@tJ<$uHKXT&$ChTZJkqA2&{(Xj~0J$
zfM|>wF}tUVz}jgO`w=*Gq7mh-2lSvF++{`d^&ReobUp~WFX3gkKe!DvN{xvBJly+#
z{JH1tDUt*c6#pWg>?k)ps5%q!?hn;6wI$dE6ag^t#t3{ebpF(ffByc<J+AgbZhdu@
z7T=E%fa(1op95qdm<tCzI`I?%R?g<AraEj4aw`tY!t`1c{hhIa@jU7<VC3&-witZ6
z-%T(>u79>iZ_n5hBCGhsx*hN`_M<imv-LZ~@~LdF1Jop784PCoXD|PKSatB#g!%8o
zOHaPusIX`v?4sF;y@gHomNFA6s`A6j^B5`;hw~Q%!^%426Tp%pEbL)LOHB}_hn@a2
zwd@O~IbQA9H8W`+JBDpu-A5Exj3buSw99dOzUVY0u>fxEr!`>cZ=qW&#c8w;1))4V
zi1qQgVni7@rqCyo!`%Tr2*T>T6`<R+@HRcg6(}gwxITq>6$AJy+VSbCd1ti1#QeVQ
z8xTQ-ojp2Y_hw@uBN>U;tk)e?Nr}@<gg;b{eL(Dl5U+WzJ0TCHFd@@KT0X#e&E;bp
z7i$twt!rEZ4$vuR65=HcKZ6~arbKK3af@;aZ2e!ElYy2T0k&z10{N?(ph#w%slO1c
zi0!^4t>e#|fjLFho_e{(x}>QAs$?@+aA9t*3{dGPGyi>+T~1X#J>OrxVIo1V@>_*o
zCQ(o;Gso`qe6KR|9{q#RCzaW^W^{7w?$G_dB5|FApYLRZ8b?K>7Jq$a)}fo-iMn{_
zbf^C9jOd7aW(&FU9ZwpgROVDtuD;?Rrgx<dfp-tZIWMUn2*91}Bu>az*|LhS2za`v
zq}&aKpXxXE=*{){sC@c)uS#mp69#%_&=d2M$6CyG?7_@Bf8SG4X4YeVcvzcjlNHi^
zhCxAqdMMnw_O+KOZs~*k>ln$fRD1SjkNMjLuU_4(|BxIID$wfebEMzl61o^uEY*aw
zx43mn|Jnjyv3mK@dfCXY46H;yN!}M^h4h2{?)v@A*pA&X|18l;B~)$n)wBFlzjm(;
z-#<3<vV+pV`xI}Ly@v`52nTn(y#w`S?{N7;b<!26iYDe$;)n!c^&@f2{=Bc?HPpVs
zv%!v@q^G){O-dfSe2b|CX^JLd4EwcwAayAGOI1?Ba2w+>`#NSfe0XCIehm=vPk^P`
zLpY)9_Qk*tNDNjnIN%2$+kZCYKb!ME@$&@fl;6|<_*eRb>g*Y2UGN)K=@SN<l#`+S
znK@-NRPAX=2mAvPXP&XM6)8zb#wO!(z_7qs_?EB9`YZcveY&n=lZ}SGBtI5dq2IsO
z$q7#R1|;<U*)nhVvbfzTDRwFLVsQd1dCqd|oBS8-<h17fNfxTxwtiWZm3)N#82ssg
zu79ESE0TcOhr%Cni1Vae_Q^H_iC2ypdt?FlAm1VLVbIrDn%H&Ql$pVXH%nU%;_uy^
zYFSDAizmyEP7S_~WK%F&dt`qW;<<QrQ0aG=$101nEt@f;{1Xo5vI`h@8^#uq?hW;W
zgcRyK6SrjFBxNNX1e>R*DhrsEezr4D`Fqm9=>qfm&q33Jul46}-}tc3G*XGHW!Jvw
z^}b0vjQon+?6K_f?aK4?!{MLs0o3I^r{FqCWPLK@fCxz@g=ly#h4zJ*sk*C}3fFwp
z@Anp-p3*#*1{Q0$9}QUb?g{$ldx&D~Z**Up+bsTcpL7mwO@MCb;9#6<w1xICTDJnF
zmK!|Neq-M|?ZtCa1Z#ho71q$Di*`h07MU9=MyMNRD?avW(bQ7pvxj<TtQXc4!ebf^
z;}{}!!W(Z}G+Nwx9GfShGxb@2VkKMS(r44eY~BQ&_*;)P+63`CIzx5x@ZWVD4kp`L
zN>6I)%GIshPlW3@^mqjHUf3C!<5}X(AQzG}uY_W38ClGfu0`{21{Z&N19fL_{(IDw
z%&gZ5x54&s%|b&H!tW?K2WrVR{oWWWG1p*NRBoG4=5cA2icG7K++5XM%jNw#rk-W7
z***B>TeMA6gEs5J8Jm8jaH3i1nE6N5E&J3g?~l2`xKOXx`V(t&g7Oc)CBE5r4$tlX
zoH(@ed9@Q(oGzS0iNwtOLLN$>BO&_|qlgtY^!O_2K2RmD10iupQ5rEa4D`zkD~wbA
z5LAqYKke=R^b7j-jf*lfxGelx?T=Ha+|ok%FQ=+_r@g&vYsVg`oSMiy>wHT#=@$)u
z3SC0+9!(VYWH(c$V7ZU(z+0>C>#udiETZ&(jWE|g7|nH9Po7H-8W{ZWeQ4BE^Swea
zPrML+{h`rs{plZDBL<;@PWxjaN%O}T{$1v%2Wq?M43MCYc+<KSHm<vW86O`k?67Og
zdUkM+MRGq>K|cy8ac_h6(oJ0z;wK)jAC}$&#3{n8*H6@UR<5P|M@dy(rE75L*yY%9
z%E^=j@)$W9aEKx7Nuscv{Z^>?wOWEz3YB$HDeqXXwzIRR6sXjK3`P|*Hi(R>YDW$~
zz@vlxpbG(Se_a3RC@oD@4KHibyW7;Toi$Iw030BypYwKd@o$Pv9W$V4LUr;aOSNew
z;)_|UK<#RYLCmNn_pnIl!PaT;DKLJNBEzm53%j8iZ8|1q7fB_I4FH>vB~ykFw!ppY
zMR#qULRWiRTxb#Mc<w8d(2<4WkT;lh6nCPwyUXq0X0Li4o8QsP*jEXf%EJ=fc6Tr<
z78LZE8f0?;ltTZKIO%d3B)bUO7(cFz!ldNv!H5#5x!{bO1tjH}wXF5(%x9F?<M-td
z7WdY+(buIj+E*RcHLl<zd7VgJgJ_}w=7JSXKQTl*0uf;uxA~a-qmz^uCwOT{l!WLq
z??GvzuukB3PN2t38whd@DK=vRHe!?zL_3L1+3%2GN;zLa=$xteGIb5)j?9;y>sd)F
zkzxw>?6AV*j!y?(<w^S7HY@kAougvB``Q6O4eEFE>iCG~XVt~o6x;J`j)G_X8aeWf
z(<5hGVkd6Osk1dSu(f*4J8{0GOc-^5s>v^Xna6b2ra(EMd1~EWNAdjfz(ux#MWy$V
z`uwZ@4U75jY*68$l-xQwu;RRaSB{l!zbEtJhu=A6#v+DlYkIZWpc}Ufe(g)60r4IK
zacj>87Bv&M-piJKzPsIS=>qRl(ay%Qe^OAiDjajaE|Fe=KK$}igKu_tOv-ufr%%6m
z?<=+l%qjEfV<7G|$kmBZ+Sorwc^x;%mdDr?1Y;iVtWQ(Mvh?B7XeLos>|S21jH;VP
z#e?eB-m6|I3dTDRgI)&_SXf$8!(VyBOp<n4`|b)<d-R=c;XfQoPLbwn{L)z-oy>sy
zD<Pa~NQ=-M;7{QUHF(W#dGTKc#h(_Tq;tMLV=)OR3vq6(<^%GYxprd)NfAS-{_d99
z?=P2c_h4CmIGS3-1h=of71L+6Kq>RL2u0j7%+=Y^cc{LZU-!{i<Y8?5t5h<uO+`Vr
z?Le_DfQ|gaij@E>CI$heUkSj{-~9lRQd9`Q9JOxvwBG+Cg5$%F6@PLHzN43u7NGeY
z5FGk@bP1p6XzbjxF9m4oo-KKiTdJdyxynrJcUe)pm?^l>wu#Vq+3CVL7eMR>Y+F*m
zVPkCZ5o2py+Bu;y9KOu?b<s2auH?GUg=?>_#G!mEbJD_p4OFoFrm})Y_<#b+$AZM^
z{Q_dJ6ApFCMk-+{TaIc`g4|t<nu|K(KccW~fN~^A;!SEGXwIZ5%H6l58<PrLe+d~g
znaF)dBl9v$Ud$46A0R6Lbif7!wE{Df1SHdS5(mEXftj9B?47>xdPhfz^Y<278|o~R
z=g!GqVQq1p6}^-8eJ@^_;vZGZelceqgH~Duo&yLHN9>Hq=(Khz!Kr1XK;CGU!`-;M
zbVN(CKGK`MiD`BE6S~?RioAM}_{zyXjcBhOxoDOuRN!DKsxm@Z4HgCwW@f-Ag$Hxq
z&z0b+Q-Nwe3Lks)bSJKLv`>9z<()NK=tZFF8?yb#KKOd0)(D4g(7J?M+WPKBbSUJ6
z6Pm<I-(7AJ6Xn5l!5tayFlrF&K$>+Q^y5jU)mzLfN?%KBB@l|gcD|F;h$zRt9s<!w
zGv?b}=$HF*C#BUbd|zbF6UwWgjPPG$Jk%aVzPW3T)BaasCH2!!XU9=QCW+PF5y3~C
z+noolB<TIMt)YT8dWXl~uBWN;Ecizv8ZmU@kh47YnJerb$rmnU(YmP|9KHp?Z~hK%
zHx3Pg%O`HVEC=<-Ca}5*4KaO5`xdQ*1x0T}Q7P%h`uL%5!#*)BSz~-t$(#32YwlTJ
zgO|Dum@?OODDc}z7Ydq_3l%RA&2_8dThPIA!WeHpf(J0K8i;}XRBEzvku-(y(xK|J
z-#hGGi24o=p@Y@^iVe0x&EKP1PKp<cIx^|MMAg&mXwmMM6V+!6Frz3I3aj1O`=8b1
zjk8N6eO~xYfC79tZtFG}{VwdI?CB%(+RV|_D*q1VINC1{L+ke&(Ct{F0F=aW6Swt2
z@+c$}ey;OMh<i+xt+<T(F-z~-yDhdOmkn4Zs+4*o1n2a&j-h<W@u}VA1F53X_mNsZ
za7|nk8^cF_Dee$2S2NE>r_dv4D~d+AAnlhq=i5~^hio?7=TEAK^##k8H`TYN)=Eac
z>gpO<6NU+x8NM*6wbRupFY8tlmi>V5qeaF-o0ft<5#Ed{dLyB8bMftplPw5SfO|e+
zB=W+VfWNy))5l#Di>-@tzRJ51yWiJL^JPRE40rdagJ9j(Ad@ZSeEuAk$Y<SR?52Hb
ztaj+5+XgwlK#6TzMDGV*TAeI<!903C_o@#}Vh~X;vp&1Qy~MWh@M9gc*~h@y*{(zE
z0r1$K3j6Xfcad*aP%d&kXiEs<o?E)SvU**+OW@t}{<^g%bK$)?^a}jcH$nvx&U&SV
z3fKuf2<1<IG9YkQR8xsA)RIO!aV##B>i;7{0o>xhg{T`0h*zlpO|qimPYeAYe^E{>
zr_1-=JHxD_sbj~i^B9&`!2UiZKQ`mlxHguB>!$Mn|0&+kH}2UvcIp=oC>z`r3bq@^
zIrU__N*Qsxd-F<SGll`JD2Bn~b%EQdrfTv-t3LV<4-3^-wX{E-XSOn=xbHKPE&_%4
ze5T8>C9#jox_PHPl_b+|bz^m%RAN^c<Z3#;#MZdIm6XHC<BsMhe}ul=(A+N~j%N_<
zdIS=NY~wey*`wEMP(oDm)l|;Zm2+(974Cg$@;h<pTR2@`fn&k*<T>pMHH&f@`9ulU
z=WiL~gMtFK-yha_pO4Kd(|*Mz<?9UyN|YO}i}aqvOO$bCZ1R_DgwytIkeFud`QvES
zbng_K-}*y!x$o{&W`<cM_qpZ}v=<Q+)>J22W_kNK<k5D%rC(T!^9^g;#BxW^`v^PB
zQk`*Hk@fss34f`ewk~&KUHWKF0`1@wU@mWomYYm|muI5bBL}y1c)jmN^2-0wwBs*3
z{0-g<Edvn8=p|KC%m<1@Z;dEV5u3yME009o8uL~TwV=l{$x^4s<bH4ts~?N_+4Vu~
zpn)cQ$Xzojlm1;O(?_d*%fU1?;jDn0UU60tT#dJrjommt^8Zph9n0PVv!pj3Y;vfs
z08nMk!Cb{g1U_;9Sp)|6+)oLg{a#p)^31ySlARD`Bg1r))%OGbu7Z6LIkiq?9NvQ}
zIfx*6J2NZKY@9uKN?X5UevWHSJ73!1>bl@z22tTy)K80?;h0oIKf`#%tH(BD($zC-
zMHhP_D$;oVi%48Xw7PIpfl-OW*v&VnA11>jPCk6LAu&DGORpZpL&S$~x_6rlYan&1
zp6=RHS%1B85paUL9<&%a6XqV#s3FV)^LC;6S5%UHD*pEP@qK`(26Fp(5DjLz1ZPo^
zuSudf1xDOLm$^_~-=_P^$^ob6KU}=<D&>t&V<%tSl5f9a`#P#su$ou`OheMd9kWoK
z8K?J(jQFu%k4N`9k0UIeFgi!kzNFuqP>3)R5yquKUs}EwK*rzN3Z@uek)Fs7gmS|=
zu^UqOeeL(qQtj{>?(fgcRzZ%Qz0Ph(ckS2gWF5LK_9E+>kqZXU2;VEs(?lWY1_<~V
z<s+u&EMM+Yf9fY^?T`@++3RC%ULt%NUh^a|(ar{vUX$PXDa?ie$N6cmq46h}zP)Zc
zeZzq=wz;H?NX@W7`O#<Noo9_lVgkA)tSeP<o`6eR1B8&+F~J4F9fa>abUNJr?dZr7
zQr;|aoC>_}#>j>2ZToldwW!wPIHK7siZ1Rq3+YW$(?+4`c$)W>3mjOHo@OD=H!STJ
zRa)wfme!Sg#S3<{1pS{T9D=kN)5pLCrs+AQd5Wj6KnOlOi=agk)pj}Qehpt<ZdEfH
z?ta_J$~Bp;5Ns0a>v%Q9Uu2^ful?x6JaHKRULpHB1}D)k4LzV>crY`Wh@z$U@avR5
zF%W#?QitDaF_UWP?ap0I=EN)PvM(%!6dJ_$#IFy1-;9ec4ec2B;0a&Z4q}B;dy95o
zp{suS@=hDh47=V*7;i=tgT$HiUdK(3(+%*GGe6b7&B~3a2}sn0P|wHldX4Oz*uHa5
zLUw(hPp@B*!B2+Re#}F9+FxVlg!gTYQb>ML*YA#|Hb+?78%7`{`&Okw7&+c5^v0Sw
zcVuCl5SClaeu~6wJbP0!ie8)<Ul--iEt#5{2rHhjz4BHh>2&Y&7sHYF#yWK37haf0
z;h}TpVZdB)1HTnP67kwuHs>qSTzl};JL*(Z%QfngY7^p)a<X?e%rv`pB$qtk^+nx^
zPs>tO`EIj9$acUze0pCQ@3aw*57EOrMTqD7t29z><Z_E_2~88tIC7r*Fq!v%AMsBx
zTZMXnDBhLb@1qxEWuvoi^2>=^@=vQEctG9|6p^<g3_9}-!znDzWg>(2lR|K-r>%~|
zHFN$@{cKB#Qq`HxL4S?y64{*@-a9--P?{8($+Z~kNmxT2Pg!`UxbnJVBT}-%SyBDM
zKESt3D7wH+WHi1RRjk@dcCDWhDD(AKRZWWGEWEgSt(hl(y&g_2vF2Nrx^X>ywb~oa
z`$nQu*wDLRf&>0)8KDvUnBFwthlkXpyn#3Fj(T~~N6jC@CQKy{$}h(+?q}z`X9`l5
zInuL@y}<RCdz@&<6bcav{D&I?o~Fb6AoP4a0IWM@(~!#t6uJ+<Gr^b$KvPSzcuF)o
zxfb0F3T=Vo*?ODw9|>Qb9zOl#1W@(=r(e`~#{cR?=)t$ZgtJ--UM649ra?6v1j(x!
zF7ywwDv+-Jw{CJo7>9d1vzuNL`jze9Wv3-MydmcLTc3K#uK%NAlO?5Jr<jRrKF!tx
zSye+bh!+XmB6-e+(ephjk6!&lrJLlifm6PjG&1v?roB9@%ZCg=>L7c>^QUlbKebw7
z%dDIzFA}G+UHUoJD|wwfbhX+AWpQaJPd<MtuG8?c(?j@2M1vq^Cb8<uItQLwr7U4c
z#?L#qUbrlgbT*p$)2W5)^1{8rSih^I==>UngP8A~cOL|fDbe0I8CvkRdHek9&7L=B
z86Sm4ELHq=5Z+UGFweterE0~ga=xC*od-{~sYYeg0}h||_?Y%c*gm`$Eq`sy{~(;?
z>Fb<eT!-w|Jg4vYv&!a3?qT13c5c6npFGkkdh-Lh8@x+GJ$V{BhKl7yl@*kcFm3xp
zo2|tP`=1*L2AA4tiqkbN$%USE*Bz<9efEvA-wp`Fc}vb024Koax<TD<cfkmeR&$}M
zu=~F^H|9qb66;<j;}{JDPQN+xqNAPXA?I)p3jY{2Cf0~3I#_QjBzX}DbH3FWE|N`+
zeHi~{hE&y5LDs1Fr~2~!xy7er9+lT9n`iVG`BRMgPz-fUUepwt)S2lMepbYfGl?s1
zonC0hV0qE}>BAvsQ;Bw1`9uS&L9}nc>DQK4(KjP3SS>3*r1z4#D|Ltt__=)qVS0nl
zwSbr~u0>$TP8&Hd!N}~@y2(~3B>wY))6dGvD!(l^E$qVo>g_$Fnrhd5ZxjU-6{Sjz
z3JQvV^iEKuiGYaok_Q3lAktfcAiW6)NRg=Y8d~TOI?|-KP($w|)IiGfPM@{cKKq<;
z-jC~yLGXhEW|+C>Re#t23bo7Tw&xe7AjkL{10QV+ksAwXMZ<!jmxvN|V`8Z5(@(QE
z)8LU02=|LUPjJOLyOn{dW}ZJ68;2ze*CS5=YaoQ`>~r~u!fFv<lp9eF*+Q}64o=MT
zy}e8|k+igKCv_dRfsY<+e2)&K=vZ-o0Pu&`pna%YFgs17V&a9xI0k&%8>ytKKI$|Y
zI+9pA*Bh9Dg@FU1jE)DI3~S{@IU@kpKv!s{epwSAzr=2`Pl5MquSpvi3~@ZFy)#_O
zLwCKAR?N?6ot9@wk3szb7o)|g3fMH|)U)8KfBAEX?%Nnku0VInO$e|rN(CiJy!k-h
z&ji1T;e4%q+h1=K6V;AZiSo1Y5-2Ijj-I62(-BHxK6_AuzWGc0%Ngy*v;{WQ;<`{o
zCbwwoBACKkw)JE;o^v8c4n44RqZ2mPK}Q&_JwGn=j9g`jKOZF+65$nIohs7o{;b6b
z0pKBC#9G7R=}s0v*zN$<6C2_$hl58fr`%509xmlYZpier^g#+NjuF`?8*ThUST`IU
zcd~$2&cP2ZxrDoj3FvnDY9iO-ZE>6EfLS3Q`o`BYGsUjG(b+*2RKKL85gYVItYZ(~
z>ZvffwSAnr`eIOD6w8YVBeJg()QC@oo3no4A+5;=f9*{iPxXD=OAhj)p8AM4n3%ti
z*a^Zq5AHNP!3mV6<KB)g(M5Q*awYjaNTG^yuMU)0PiAF%`skVPr<Xpw(u1J9USV`I
zpfUy+2>~!YY%z`exFJSz&RgNU8xl3e({@E0!_*OmEgaqn#CLZ>ux_dyn$O%w!PxGW
zdQ;vXV}b~wX=rgA4LAj38nQs-upvC1Hx0JSBZ`(&?2#rSWSsz<EJXl9Ayf51P{H(o
z%8gj4HX9<hcYP*N=N<LVB#{BwoHRoaBhP~?nPYJLZ?M<k*n}-F7UubT$f`+~T_-0b
z-^v3EM&bTTI#O0iH{TaLLfD_W18*5b?ibFbZa0FWfFH;P5*kf^puj~n4;>Z2Kw_bf
z@w)jh^t-$CK{ITxMc=1P1V-qn7ANl*!Zmat758fdOzjoE`-2HKfZPIv$Ut`@8en<i
zXy^{3!~4AnQ0ib4%&l-xD>HResShdTT#4q13>nrMx$pDjYPm~D)jnQ|{Uo$1@f3v(
zoV(CUzi|zGbR`+(BB%7-(7W<!^9a&JP5io$UUkCnlM(AV&VKs4>f9D{Mux%1h;@dO
zWm2*W;CABB!JS-}8thgpM%M`{iC&Km1M>O~XZkXCD_0%gb8>k8C@T8#A?sL_e8mW`
zR&HZ3CrG$)O(68%6y8e>_jqE#Y3SX^&jcEe`_T-p7u0z^pY_%zd1i<_ZoCecL>naM
zqCHi%@(vMem6)(N4|vGD<cOR)W=?Ulem`vg-q>ToEbvxtOz^{Qk6*32?H8W{2Ot~<
zl+w|>>ZEd*4c&ErrQs1-w?dO$RHgo7_wCx>Gf|eAT0Ixg+Vd(Z8*P;bcebp|kY_+(
zNDYuMt-`?PZ7(#9lY?Q*6hxQzsh^*wTwpj&Ir+*OMp~r8Z3DVkXep-Cz4$jFXHQvY
z{pb!i-*^n%_D=Y{Hi5CM3tcthp%=-2uOh<`o7Bu!nIn6&y%xQyscr=C=p3kvn7LCx
zeTnP)ut-4R47ei+018-?PAF?hp<qXnKD&mJ3kG&ubSurAy62VvVd~>%JIBY3w&sTs
z#JZ+9s)lW)WMilLBk8Pit&F13yt(!j&A6^qPL(W<8_Fsw*VWj?ruoLGhLsrys6|#r
zZGR^J90S4z@$1jh*K`X|9tF|lIPl^x*njmQj9{C0|9|@s`4m8b?mzva#8dz4DnQP!
z$ibG7#cBT{h-T23?<eB*F-K8a+Q#mypQ#u3<DpeGF{!p=AJOh0+d6<%Nvq3O<AK|5
ze5n^x&}&e$za!UkWl!^E4dr*d^`ZkRJX2z%N`uiyNZcWR_pP33MmeR_$qJc?WJK-&
zS9*l)6cI$dHCmEy(wHbC4N#7-;znyOn@N|s!S}$%D^^%*0}5zg5`|o5GAB*zkR~yr
zEzB`Rzc~C$p4@#4I-NF`1>}?MoN}E)h2is-Yw}-D!QU)m3;JkA_lrn3qUH1}r3WJ*
zS8echm|tSvNR1daP*t~^eE-#whi?XdQC?JV%+!8%Vf{AZA}JTV_-+0Q?zGd)VVSP0
z<aK}&2GtIt+Z~qUwG?f?YB=37$)Mr&q$5E?EZ1_iv+DEP>)fQ)<KHpViIk$QRm>lJ
z`8d_(16L*oA*@6VV7BXFN{E~d)})n7E^&v=zglQnz)b~d(%@avcoOd@ut!US_Q|eU
z9qo^?jC?iy7+Aq%;`F;T3}YP<nnQR&^eHcg?9B1&;=0P2zFdtgGqQVY_w47r=*RjK
z8!eY_8!km(2yBE7`2R^U$H+jny*w;f40y8f%uDM_dV?W50!J|lgHJuoWajzq8U8d9
z`s!nKNtyNIyY(PysY4<B!_%EZYz_Ge0C8MGj~@wzWpY%GAP2*Jli;E26V7yKWYmVp
zqyhUL``WDv6Gp2zD_C>O(|Qz0;}TB|$hbKpKY8~j*za$Ow-3c2cz#HmJa}op3mj%n
z-%ReB6z2rDo<ENgA5RMT%G_pWt!~=sCOXLe&?}nnrr@|~HFS8`y}^lEy{4?Zx~9Ag
zY4+I|-BJGZVr*pi_eXJm@wWkG;IEKt)NOQl-u1TYbiD_wF4t$a+;XKE%-2p{6837j
zv4|IVBtglWdhz<lT3mNbqX6c1+dggK*83TCAVGL1@z-8Jl6nb8@!5-jIAH!o8r%)6
zn}N=9aSjE8c-x^js;*JnISZENy5#k&koC?6WqphmZ>lJ=E}<YW2Ri(HPz-pn5ROzS
z$Az`ci(ozDvF)AuzP=l5-v-g|8k&)zBYbIk)wc@tM6w%{>gk`j2JzS7|ImB`L_Tbh
zl4LZ|X<3^^t5)cGf>O4z^bt3GUtD%jj%pq6sw$D;MAw1f?$6@<hK^&ScD-f>gV>ye
zj29Ch=BfJ?nH$^b>#Q_&u57!|(|LWMAa1V}0h0ggEpgK`n3Ql25S72^kfZ<8+>Ob^
z&2!|a1}xvml;_6qz_rnas@MF1y|~>+ig%(74hNQnxV9lTOMf=wsEUg5LA&E-rQ#aX
zF4iAZc^Zqm!7*HFbeoh*l0+uT6L0*h3Yeq61y)v_*{eMd0@&Y|;6>)2DkT1OFd9sz
z)gVYihd{JMRcu$E4h~uX>_Vs3PH!&=;0hWtHbSDm(l05=c42OPGyVJtqjf>f0Ml<O
zMe!G?(O`6x$$4a@MN(BLMM6PomTRFzK#}Bt1@z;uJ10;sxkP_ZYmeX_Axbd7Z4wp%
z)<k>@3MfbfyC_g?(!kM~z^rg_8KHgmq&j~g$RrtbIv#+)(k_X?SQRee`8(sQbvw?l
z$L7=Qy!*%z*B_5J0DRozZH+PoBfKzhzU}a=1Telq3kUin76a47y^9`@NGdjUs1a@Y
zw93j1;eQ{gD9MraL;q3`%>&dEGC!=<9LO#&<F}2m^F=tOqXC0wD7aQ*<U%{z5o$X0
zYq%D)u|isvI_ZQSP{waZ5+#7A5J$YM{Rvg0^#ftjH9Y12boBcqW5}641~$CM=$8^<
z1wKZn8z}k!evQbKcM?Bl=z?!r${D=WQ9ZQccPZRp1cg->Lfdzr)ROXr8aZ)$-75GW
zMGo~wT<l|wy16D>EE4qSvqW_V_FtchKRiF^sdBBqL1j9*PBX*vQPn(kGj5_DAeTY(
z;*el4JyCvXfQi^-*>3zvCMS2T#pmvOj0vc13f*4IqYt&E+wccQkuSF`lbJy6k6}~g
zfUE8Tus0`cTpNnoy&;P3inogrwlieqZwkB2$rlx|Bdpes@~y0*FAE^wFhqa;?#U$C
zwh(>}>4Jo2f^eP@ys6pvbgkewRnk4T25!I419jA)Ro~L=nmDK1*QG1EotNZIl}>}h
z3Q4khuTzgp<~(NxtLeSM7fIKxovt=6UYH#_7WD-IT^+1z&5k*$YI5gpfp=)zl*SS$
zY{$bvU$3w61=trJX>-6t>^FS?<8mN~;14mf@W{0L@Q|fC2LVabG>3p^PualfG{|qn
zpPYsiJ4G4SFj_Rc+-G-5$Yx4yf+%?mDvOotxtAAq?DL~WutB56#N8>*{a(|H4<}ze
z<^>mcYi57HNYfZQC@Nn^^T!so7Dk*F?&cpds|~uwzlp?@8+DfnbmVcpj(DibudQ<p
zsFSB%EeTdv+<tmn><{kr4`igHEDRrBAhO;9Mj|S4?c}ZoArg-`!4DD+`G?mT{4ZYT
z^W^R>1*4AgfBXfbSdc^tu=f1?Qq5Qmuml`z;@4GGwd5Zb*4p2;u%}^HbktF{HP4CC
zNhUsei1HCy)-{2#jHF&YOHuS2JLWDKkObL`QtWx>SK&{8qrPbrHcw?4i!CJ0H8JO0
zAONKgss<tz*9}r4QFS?DamHhbWbq?p>cd|(X2H}$4FF2!A4$?c5{?gm^G~mYNh1PA
zI>?tOI3nSgNMPnqRROPNw-5LOH1M~g%|0U^ruJC>sn7<yQ_e32wT*)zutgMvy|hsj
z>(C0PtJ;0GG)*+}QOGImyp(h8#B+mNEvNPDXM$0mlk}yTYb5j$fWV<zYss9@4#-T`
zV{`neN&T4Qa-xg#f>nsZN6fb{l81O784bs3qS&Fp6iYST339J84~Ry5xl(Mhrp;;z
z)_dQnHrH&wzrIK(;ln-0k2o)TR@Mcj$8Q6U_98wWv-`j$#QX*>^ar3us6d+#K&cU>
z+WBoF%i$V=ZP3k?i^s>B(l5k1y0ZG_4SpIzeRH1jPCz&C!w6u5IUjTea!Y~Tn;nA+
zbrw$-x}oF;E7}rr<!t_D>H2=Co8v?O4&#gXwjE2>M8_>pOsN0*BG9<>a>&}GD<b}d
zkG@w~6|yHJws5tzw<FT1wXxP*idrgo!*6mNhE;)30JtOyxW(SyZ0cSCl^rAI+ozAa
z1-P}{?!-iFsRv2<h;M?huTbH;*mgiBsG+!{OE$cb-_MTnZ;B5lUk8dE72-tTZAiTC
z-pdqS9B65s$OLR$@8V>hd8wc<*7y)J<L6$D1dKLS662Fcm(}{?-`ZSI1j)r@_)Y$n
zDd|Ti5o=C$HC#RTS$Q(`g&r6CCc7On?5P*ze4?xgX`!Lc%X#|P+A?0{U`CCSb^F<D
z;<-C1#9tIp_O;p3!3Jy0luhG>)bzQc9hcsb)DZ^SO@^==?oTm*1U+b!C1ljS!9-F1
z()*vV9b|oQzuZOb?@ZY>)O8x2)o`@Jt?}J*c$MMc4SBEU?dOvR8OcRX78jTA>-epq
zia@vUDH_<E;DO>TW6wmVs?g-~Re_<4!sEY~i061PnFd(DPJG_zQbv3-?&#QG$_;;0
zUp+dW!h1c!iY`bRB%sPqxvKY-y;x%0VoJ!k#=hXrI$ldOR#l-Hc}~43gqIjxRt?{~
zn{JK+wF6RoyzT_k(@~*u%W&S6<6ZJaz_nRbrMoLFp`z+zFl4@?m@5K+Jo7;xFFE*4
zQs6m^OasU9l9?rm3^o|@`XMhC+c1<nsCOV}bu0L93db~XzrnaNumG)_RN82<B!s_H
z(}JSLJ1nkDoUeUcHhWFpBX4)U52)~yt%{twK$l>ltfHtjalIGogNSPM01n`9QjWjv
z3U3EZmDJaa?(B_|&zC{_VvfKDkzDE{#_)bAeehGrWgriOqTV^FF30T<Fq{sGBc;c1
zdT$fsC-;+*8cfY*jpuTwB~$_%oD%r1v`DeXJ%uDFhyw!iV*cu;4qzs^0N>~fK*zpD
z@Lo()BzNI5wj^#!_vG`K0u6Zvbe(7i%QqY3f|n{Y9i_0)akFbg&&<*rX2!o*-{M;<
z<D>?j`D7G`XkE4moC%^8<pJB?oFnzR>;wLBB0u2QACP_?uSO37w&%u1%dzD74l5)-
zs$ZOt+}-!(FoVNJ3_Hy=b^+_v28v0`Bi;hmU}J$zYa&x~-ZATAE~C%tutl`_cY+^E
z*L+)llJr?!EXOnSvMe#T0tvxO@wZj<-y3OW$49O%?2#(p1T7p+RT$L5T1}cS(xItO
z*m0&3*fVrZ2$R2hUZBWKNige|04KD?#|0<oJ#Xl2#P~t6_g}J0MM*qq_czN4Ho(+N
ztI96Q3B~B0s8okVd%p#!kIKmN38t~@3o~~FEx)dGrN0nWnpz*&jXW(XdU!u6z9NF%
zQla(;(T$p-UE=n?P5RL&u$1o=kc{3ivA^2H_S<4r18!E>*<CLHoiel&Hrs*-Q^(2%
z`O>xLJR6@HXei3a*$*uB2w<b_fN&FJmSl@Q%&~sF6Wl%LA;iwryUwwMg2V8#-6!uW
z@zw-)yg@gcSw^xa_@<mp?kkH&xl7Y0!gE6j#dWRn)cJ@_zgJY6{FgP-!->^h)bclE
zJrP|(csVd;*&BXx53jrA8Fxx%#95&os{6mCNDRa`RI}a2@5Aknv9}DqfK$P(W>CJ>
zf|B%o0FXTfXAnFO_QF>6_AL+g*z!`VHSnY2PgDP<m}ly*xm<U#n)%cAGh*M1k~Bq;
zNCU!Hl5a}>D-$u@?3^((6(F}h=K7&|_;5^zGe{ORJV|7w1AJ}yfB9N&aY6tj9E`OB
z6Vtl?2OBF4aKC?A#sAS4s6`&QLQWY&;!|lc9YuR-g<ZO~p>MYDddH5h1Mi%|YMd&k
z$nv0OB>gW*bHqgQ*ox#x$_v&eCV4fJ6r^sw9@n^6n<oU#_T`ED;hI_{8Ao|O&Z)MB
zfhHjqx#ZOI011#4@HyMK&V-%9_90_6xCAtv*&_xEoWB*q_+9hS+%q`l0`<kFtF-X>
ztGI=aWQAmKX#G{jSVR3Tfpmq}MOBtFIbObqxZ*~6jJ$?vgB|ziQIt9WlnWZ&i<F4}
z#rb<&e!Hgt=I~IXLH;(d$PizSV<0nywSkzuQw_QCZqJ*>_2RH!1y;U53n0IhN7)^o
znehDlV7QV%T>>q#1Iq4@KSNDQjcx#}Bil}9$4SIx5ua5xjP8pQifZrGS5=$Xz5Cql
z{8Rb<ga}*|w`LU_ZSWH>Nxs63rN%r6^U9yc1Kd>Shba^F_ahGVUlQ+5g~Yy%>I*;G
z3(eIqw<-67>yihcv;eSgMv%qRwHM}4hc!y(*&T4WdzV<M@@}=pEt>;&;<7Bt1<ie;
zjf1qI!fMcfLg^iR#EyRnRi8eRU^9(r4zgRdwxjA$)-nnQJ>gVi!q?!aPcrZkxa2$Y
zk8p#L$15J!EE>n(C0sa)^K8XmJs%`r-yI!snK9`wU{@qa1`GbW<K@tIpKMg3!0Rc{
z3s`*E;yfw_DsqrL=^=E<`^AG+t2&h5^boA>q6h;p=LKdv=f!vt*$puAGPd^t2#N0I
zmSeVPXV&KX>AT%d2UQ($Ee0C{8M71Ls?x(Ss*<l(f%Pj7fg9Qa1`#!U<YdI=Z(?)m
z8}0=Jt1xI((O;N*KN94<^Rqbs9|8QuPw;0ri+5%=OM|i3wCMIqga$s@%s8QvYl-~5
z9v%-}9|^b8OK8a)IB?lMJM200j2{{?p@)q78x-J!Hs<VQLiVzJ#s+-epWf(3%zw~^
z_>%MeK}Fa7+GI4BzV-Q7URpfgk1+w<Dtz^^=fZq%d~l}2xi2Z62*i0;40ejJgSvBd
z2qJIJZ<8@(_VbDODLQri0r_+$Q!wMc=!a2C3>Yt!(gMMLA-8%OqY?XZ510I80eW;c
z)+1pWb#X-X>?-k5ni5BLm}d6D51B}E9BQ$M>jLmu0|~;VEqqh%qqD@Pm@^M419F;i
z#VmpxiCF78+0B%D^c*g!!V{l)BzC#|UWh<Of*QLYRPWuD#?>wftX`lTysP49Cg*Y`
zZ%TY11xVbuB1z}8QZxhCDWFJBg;~VKfUrYAGq~O5wp??-1mgQl0P-+n?s>CjR{(Kp
zzRAL>6)}jwOG1{gxVRn5QoP=Z3%J$%ZmOk<TuBr9@iyM4IUwNJCto?wL~N2?^%9@R
z$P3IZ)jGM?u@fNv$AcUO@#>d59K;wN#u`ppo87kfLb$1hXo-u4TsB$s+667sQTNiN
zVCIbd_@b_{)XW;QfcI4_!7<QIe_bG)i}JsPm*H@L(EE!x-@}wt5#n}fqt6`!r3WXP
z4ItAsEikM;Do%k1{{sWMy(PmO@^+$LE5}ao^X1*~{`b*Z4RBg^<<<PhS03;#m6CT;
z>0`#@(wi^Zl^bup&sTO@xqR&cWh5z_^p*GyC<Uaq*Te#2Ke4k$zq?EEe^Yp>pWdM&
zI{bpt!CEDuEdD&9B4Q+^4i^5N^f&c_R{&t&_7?bw!-AY__S6Qmor8sgleKeW`1k00
zlt&zIO4zLO74ot+_iE7oAAij>9%#><5)UCMV64aSC$=zPBXEa4uHww|{C7&ha|!4E
z0;%xDmA`gUfBT$!f%4ec19E@=)yoqzCJixPKOTSr6^hnL<46RNo{U>o4p%QhKizB1
z25wTt`6<FhsG>OWkWlP8)({Jy$UE5g<C+GuIp=%%*r2n=;(pu9D_35Fy;$=5s7J?G
zIGwHah1a-5QI#<E1#w!yH`es*Tiju!6U9=D(kq}cIwlUJOc_@#!C45r2rpUFVL6Nx
zqYpV(b2vFi-TW6){%`OJDCMI6<IvL|u<8%^#PJXK6wAk)l~_VIl6K>|nu@aatFhQ5
zm1T8hd8OB#dGo|anopL<KWZG+z>g9rSGOp)RkB&cb*opQNq+5<aLf8wor#A!hey(d
zG6=&>_ru28W5&&9qX&X-U~ga)&wYWryiaR71Dfm0F_HNkV5zG^p33Bg(Et@(ru8|(
z6p_F1`3=7wXIvcVM&ls)iWyEG`heV-NilXQea`(?$%^#GuOHe62t`sE@k$}l3J_=Y
z!f?{<ETGTHX(#$WmmrS>`g@`8T3cG=iw3$?lN%QsDw{*g%){0uiMQTrSCi+@8H-`d
zgKA^zTpcrC|E4&}fz}YcaTi8W0ARv3$L)VI&pNiMn;GJ`%6(?Arn(bB5X0w@uT<ia
zpbv<8Z10j5`%GAm>JY_(s46b$(yNb^dShOGVm7rBr1C)&$e95aQvlD814QM+<#@Ba
z`*ztDqQr_yShQ*qUo?gd*42e9hDgdiHE>Vh>$^$yL5(S6d_1c(bl7~a0Ukeb0NwDr
zfH#<5z`B_I(nfc8LFN^1q=4|8c4@ddAelHOJnapHwXxdf{rKHr-Az_Tz(^mVlz-l#
zHBQwKACD`YpJ^l0j)~a}(I3#}j2W8s$<cR&@(1i)FyuKa4^*TsdE@kf-fN6xQ`sQr
zQ4;gOMPx~Ms*DMz3u|=*Fq;_J_@z1HWwgLW?D}D}o&y3el-DA_6buyjTzWa;sUm8m
z0I49rmpmpq;-dg=!ODBk1SuB~_o^;1sA)pq6q?kpg;LNs*`PKiNkZ^<QX&*&91NO;
zgO|Wz?j@iuNs;Yp;p-xHYoYVI1064xKa^q<_@tzMNj<3l1}GclkE$yb`a@9ubYG3U
z0~o;14kZurE2mT8iC6fP&5NH>GLeAUu~q?pZNNPMEi%O7@x-1bc9uC${^_SG;JtP8
zuWA1Y7i!>CM*}5=`1U2i;&xVAS3Acrtf4x|p%YM&T$phH3YGLM-Sxn1-zOFsdH6^7
zeY(!V&BJYG5LzaZb-h-kAn7YNU%cVR$~zLGBURxb#FBmi)q!a6nZcn25WmoVBxvHR
zz0}D9_QsCaCkcXWBZIc`iVttX@&?QWmJu^HOQ?>+d)o_)&37DVrDj%Vw@+1o+Fs!P
z%=z1@Ap_N;Q(RxS!nI(`1S$)k*D=pNymK5NvDRjhZ~v;b&N?EC`$h|}M+HiU=O)uQ
z0A+l|3?}Sj8Rh!GvN?Nn39_Po`9gJ=7bTf84euN9&TseGVsC=Bhma9RvZqDn%H**F
zLDc^_hzV>1qVWDAl}PYwPYWPCk?vD>j$SAbgIir4v^)s=)4!F)-8(m2=m4hu{h7XZ
z6E!RxT=RRW^ZM_Z5>_UMz&F5)GmsD{DCr$eHKx&J$;f+wvo2WsBamg5;+F}>=X|_N
zX(P@BtI8iL5A(=Z*$E29uvS6T+XmDv=%4``qMa}^=h-#cAz5ZFKYMyoT&c>n_O*GS
zqJHta?qU2q>LJmFpoB*)%}st=LNVjv9TjDLFxxF%Qwq1i8y$2l2Kxp?CQBeSBMN}<
zyk4D6QoN}G)gccGXehs(MAvY00SdL^#MN(B%EJ|Eptw>P8=~@u@weT~+!v2NR$11_
z8Ei@t*_Uw!1n@F-tp8n}Fz1?|?S;?iG*2phoZ<p%!1!ILnO)7`N&%rMO#aWvE_X@?
z63aqlq-?pra!=lR&)r7^ip`u?gr7008p$*L+IBllkj((?>!q6%PrOR8BfqJz*O_YN
zsp#Q&)kZ7Z;Pi&FfCqcoJU8q+9<0mH699d$i_i*7BLXQ&aN}`02~561!r+;0oPZ<I
zDbZ8L!FTt8^)C*aRryLtKA8h&-5f%giT+GSaib3KLKBEiAUD!J>8b%1@HMj#ACB%4
zv(28l+??yRI)hui;~RArj{emxy~97=VggUyNhB7d7zRtzMhBoaiy`|WZ0~YTxw*zF
zza5ap=3bJIRgo5){SzxR-Z{GQFZ1$S3dg8`0kgi?R%OQ5fBX|LxA4bR#kO+BZETaT
zg#k#C@jpnCUK}|-jnw=Pk^~}aTK@4}o{)1Dz;}IZi{$$=nfD)k(JivCo#bTy8L|ZW
zn186^?EKB1Q#;wvEN$b5kp0)XW8xszR-(O~iQ`7wcP*qCys3s7AHw$eR7@x=)hdsG
z<ouKl?2=cf-rrF>DJ<j6{Z2On?DMf%{(z4<aUX9K5L?*f;uxb<`E(Sk{S}%$39OZc
zMXj$F08)sTfL2l@q{@=WOe$O+S%vqN;mlCeh78?brFDthr?gtQyW=H|hZ)hKS4Fg_
z?bo`C#`I(nowi;U)_YSp6rTSQ1Pv<lib_vBF)5MoKYx1;ltreC4pK0ob)*O!dwWfK
z`H8&#1T42F9+d<AK^{f1H(n>`lH1@6)WLFkKfR;+hOEY3N=$O^3e&z#fyfC&yjo&7
z{bH~Zf;@}3mJhW)8;jHVRcbH!dTb=GBb6jRrJW9Zdj4?}e^f()M(uckIi?_Q{LjBc
z+y^vXHk`w9x^IEM<Tfo}P9t<XprFy?%TB{v66I!hkLmAN5Vr@wi+OApa5hASg(YMK
zagCE@w*@xYIBW_U;WpZ_lNW?C2rOSXMZNekE0#K|E&h}}Gmo+21rzy1ct*Uu7xn^F
zRuc)v@ROpO86nQIHrV9U+VvuVDqEPI_;y*7KO6|bopA`_129&LE;M0(_Jn!T*v)OU
zry&)nIyOI>92?SV2~f5Z3f~Y48-M~&OY2}J-GPFnzrZBeGgx;>=&|`T+1B@^)MQn0
z!mX3&8~lf~<QqO%OMCbQh1>WD%USm(=(?7(V%x0AKB%PWlDH*K1@|oZkkPWzEpFmR
z(4L9vZ;k6eDnAP!<=N|`erQPYj8*4Zh98a;RbBXDmaY+;aRX+2Ey^MPonAm}o0cT=
z$~uvZB;AL#GC=Ra+5o#5Wa0lPqj`N~$7X~b+$K<J9imFY7C{C)GS;rNSVjYTF`+nE
zYZdAidnc$Yv>~g~f1V9z-T$bLP(E-?l#b|=nNjnIdZRUQ^}BXjp*7EXj>?0<$)VR0
zkBCpPV+u0Z2X#MwQ??dwo-)%v+~|A!@)K-%oS3&T-Sg8N`6-MZEo<_EqKos&Yw$(>
z^CWyK4%G&_EQZ<z-S#eOC$m(>t%+>af71W{agcqA0e_X~GXh===8_}jlAn0Tb$KfA
z0WdU~9baV9Fd-&8%D-R=v72OQEYswyzx;|z@-^kJyh~P|g=m??A-vG@=7aBBP)CD0
zXe*m!Bys@_Z>b?OW64N_I%fZtp*@SLc9l;^mGG>}fmn1F%@0be@{6d~U>g|z4y=_f
zc!?HHFIbLae;pq7yFhZf*vrqPJ*FM4>I$*(W^ZK!wGS}QsA9=+z`paBJdcbvPYRqa
z##t#|wkguTp}Pb|8<1%avCEj<&WTj)x>h4@Estx}<gDFr(>1>9sl{3!poE}DO*qB^
zD<ObL>^?q~pfUeqo)^c6nr?`Ww_~O~aZ=z~KK+Zh0`q;=;XC;o#OTx=s&H@ngu*R%
zD@8vTUbou688=clO?=Ap{-vLfO~U+mRnvkek9t$wCXV>(ygRT;Q%hPRYR1;tE%V2c
z0U1dIuG-pyssgk^fwK^X4;8C*h|<0~)19N7{7awGZy5*9fhodnHH#V&uaiDj2{CP*
zCZBw^gWjyF6%zX)DODD|Xm#K=<p$|l@7xcUgfJ;^JIwPmdHR+3y-GWIrY-Fy5Z7{(
zzleGdGrNGUAQ|<A`)0e{x_(MIH71FuUmTB8o@pXoe)DerDEU;xWR|I{Dla5^vpR{q
ztN&dj+6|Z;Hva*%l>U2=I8-_}v`;txha;`!xeVZu?&3+w(EmBGilhC%fT+1o0H5&x
z03QK{=m0PBaUyzAM-h4TLp5`{vVfA#;Hh2Js^h3yYc5})l=$1(b?)-Qqm3C*m>B)B
zn0tXlff71Z4yrtSBo`UWDp!}(<SlOVDylzRYL{39ej?G#<=wX4%Jp#6BT7<uZqw_b
zD=Wu`Y&O!~pG}8OF0}Y|%xQ>=Ga^kk?q*4C)XE%N|4fQQ4R$q=Bl;Z*E-PJKE8j3V
zfx-fDC##wNGf%v)N4|S{D*G;*<6%%=ofbBjTKakhtU2JxyGGN^X=mi$6r!ebXVwT^
z?QRJ;cHnOc<OK49c1o*)P}1_5TQj>~+h%u`N}=n<IN>r-p}%s9HCdKB)C^dRc`)J^
zDp*r5>?ETys6y&_<G3zuEq(?}F<h1;rON5$`rA$@aGTgpdXaD8n2_0%#z{ZVhK)>1
zs^0fkhV&_?MAzC}&`u3>>x3plJHU)7OEo(=*nRUuxoJUnSzAGN>3*!x^ctYH7BBCE
zmg1c`C*45XIWT)?HUO9SFa~}b7kQ3on=@%C_YPLYa(8CiO%83vxcG@@yzf5o`XVAC
z7fK(J>Ur_Qd(p^U<RD(apmhOFiQ$d#=Pa;meuACbk8<~GVgn<MlwBPYOxv(O?CyR3
z+>l}QWzh|C7kF4~|46jZbngb-D2rbbVzSjw0eZ$wVzRqm1D+|fkdF9Q)U&NAemuhW
z!j;ga%n7GKdTgFHV`N|^B}ffAG*1(e3<>i}i){@$H~(ShePute0)SV#9e&Fx5$ODF
zu~UCjXyT1<%;KDewk%rIOZm#sLw_oKG>WO277y;&>RrHo-taU|w5-&)C`;E;&NOcb
zp?`ln+HZ`|GsP+99|CwK+KFQ@ExFq`FT`KdGT$4fJLIq7Zc#PvH2>Qs$QJWiCi{mW
z;;S_)B`a0)VRbXZ4OaG{B1%Xy82bSfoOy~70>BgI(&Yz<#b%rI>cHxSkJdV8X!vgw
z&rE0iClRMu^4Zns(wSs)unby2{**-=*u!+!Ep{8924r)zIP4lM3WU`vF~2T2AE2v0
zeB31as-~(^Nxpxf=>TG7ODjRI&rA7T9M2*Y>+#SEgnKgfl{A_@!F@0g0NmV55%?@{
zJ21IM*B0|kBjTE5THVO%yD!z3`(G=H_z_10^b$Eo<+_zg;muF*HCJ+oeE3w?hWMIx
zmRfK`9McR?Jf-=Yg76YQVR51z+$>b3zwB|)o`)DaJGe{YKYvXyNnTA~c<|9RexmX;
zq&KeRPjJ*)52{Lu><vI^V!gtK7E{KMN0zsNO3$S)Y3D^4iKHbuyrk@j*EkZ)+G&9k
z0f(QDH#L>yMtnGN-AuV<(%aGV_?HHM{_>U2y7MSqxm_eSg~*|Y5yuG;8LG{cgAy@=
zx2DYZq|cQ0Yk1?%cOGRmXCbQ<p5YOHW?YCmlUYe}phcm}-WJld;>60Wg!~=f4gf6+
zOgl?l0v6yf0P>Ra72SpY`jd_VR*Ps`;oOv)gN`kQ9hQWChc%M||7jMBXEKt>G`#aa
zk#^PzDzsH`U%t)BdzVPV71zX%T^J$Wc_t~Z$Mz9I2y2&2zn=Le8~KBd#IrPVJa{pg
z3pk*k01~PXYrpTg3<?$4{Zq$c1tKuJ$-_6F)e_dDIX-~3_|F-EgM8aNjNn4P5`#UW
zS1(I>T`3!@HXQ&yx>uR#G#4ogx5%FL$m^82ujTus@Sc6bLq&_tG+J<4+{|N>4H#0p
zV_UCH02Os?`>Xq<`5;+57+bTb9RplQqe)2<s}SZ|6cEZeIhpO_Y5ex)`%?x`vhXCu
zYDV;<a>S@SC7A}OuF~3^e8Vkt&_#3IB~XWY3^Llw<fdchm`&#wO!~YY$EQc&s&DqT
zBt?s2>b!p;@?f@fRNj({)I0EeTP}{WVIuXS8P)h6*ZlA$9b(q~70dou*FNFL-38)W
zhXuB$qMpqSpa?M5V1FjA1Hyu=m1A-(sH%4fD=9fD^7GC(6V4XCSIKw$R$5+-a-{iU
zW1_%O>HbL+KAr`LsiMwLkdCI)vva8FC=aV13OK@e@vXLu>*joYohb|VhO1seMqP6I
znu2oX{O+5rPGYmwtY<#s;<)>LM`<l(@mS*wt?^vlF-5J*jIU%y#ek&d-{ho{l-Shf
z*h1Y)n<D@^qk0bODgK|674wrzbpPrAA^&uMivFQ30{)|2o_}|dfNl@(z^(?Mg+sB$
z_gj;Z7RbVAS^<$8+5T);lNyz#Ecq;_%w8h!y)8FYq;F_8PU3h5A30Q&_&bVv(@1Sb
z)3gR|m5!20bykedoqyZ>jo+_@EZU4Uh<NPbr0^~Xu#2hhB9*1?1REK|pJDenmGy&O
z=XrVjl+@awn*-Kz@Sjvwk^osrv;%X>Th6yMoy|Y&8_V85@e+LU=5V6<GhQ=yQ-KA0
zFuieZ9U5n|t}Z$4XmL}qLe|C8a57}Jqr7D$!8Z{yc)DXkFt&$RAUYkK%*W?7AFX~e
z4k?pUOI=wWGuV^dnZc#2;_DU(W|k@qv0Gi_`)LyTzei_5Fl^~#JuZV??n>f~Epg}K
zQ@I5)?RA2T12FckK#y1L;9?pU=Y;8Ek;fg9`sjcL?e_wL+}B1fy)p`tqoJXQU$fzK
zI2c*86PxLAD&<bNf_a;u{D{%}*A}bx9g;Fkk&9#8zs3~$*C<fVyMPZMC{2a?yDaY0
zd8bg?Yx~%u?89N@GD|>~6j)ZOED2IlSJ_(!l9X1K<|nYW0n$gJFl8^-cAJ-h@wIlj
z{8(*?yLcrrB`l&;j6gyj0+adW1RlK5i5%Cx8tjva$L?@?(@r0WZ(hEW`X>oLEA~P%
ze1boGX7{U^HML~gWj07}-lX0f&`oejWt&l2hu{SUgHRYSU>-hr*RP4sxnlepIGyiN
zKjN-6Tmhf%+3{mdUe_^jGjMZGQylS*ZbL>8-H0$@q640K*@gNyrBK9??0}d}r3URI
zcxyN~1SYO<7kg5Pd6>-UrZH9(^~I?|)z1;jWYK!t<95lt@%~4QKb_(q&MF~vVl$6N
z{h4uNsOt)k@Gc#<ep#kG9WN1Q;vam{p8${%-JOMsI-eyLyFvUH4VauK{<<sBM0O0W
ziTOTJr2644%vj&J$`|=b@_m_YX_nD&n8#nYp`kfOwZP;a4uCJaJ6-UmsB*eC)U8yx
z9+yT*+r%<y(vkW~4}LGEX!>%O?C?Za=W6Ys?^!yTmJ{Q;tc`yF>ud;Uh)GUJi;T8O
z_gPK{C$OE1?n;ZdLdUr-*8<e0C{YpHl>K0B-yC~<9MX6vZoZG_Mt&o%&$2{nkNRL=
z?nRd8+^5V!h5bCF2>aK?P-Sk}r$7kA3qOoDm;=)S-8FzL=kAVRIcY+CBC@kD{yHzM
zs+2lcwZFf<r5wPDjUr!9!j>lVNOnLXjjM~#W=}G?$}||cvIf5P_RDwJ+e@b?N!FcR
zOABvvB+U!M(>a^|@G^eDZzj|M1=1i_yZGLU%V8ZdX&wF9)G8kSrM}VSE3Tg%hMK8?
zlO+VRflc?C_`&Ij!ox@b{YiFl0e6Xl_qSp6XRGmagmC0O{r2nP7ZKGo%dhg|1&6-7
zQw|02q26oFe7oF9)K?NwSa4p)7Rx(yR%#*zKs&95qQb8R?!{qP7j0sF6uxd7RhSW{
z6;R&{>S}NEz|IS#FJ*VuHQGV^%6X-EGS+d3ZaTaaP`MN5Dq!=!jRoF*>fz(_ozJM=
zzz^jd9=rwT29pr10R;bWA_<7E?$nMR^@Te(x|Kd3+C2GD@z<}`q_DsE&!zx$)&s<e
z&-|OhaJ+Q2d0bpQZE4MiU4Xm1M|{I#lOP4G`qXwgl;+pkPr7}o>+E8^s5?qxo+>8{
zysVD;oyfZv8F>Pe(6-PhiLSZR^KS075Ls3;`mfRSRjy;R7oQU(G{rKm^5t;`-Ti}@
z32*(Q{e=XyzxZ;66<q9rFSX6F3nWh9t^!gS4&Z-lRslj8NIXEh{IT^V|C>(6e|&=O
z0x&=KuPHi8=&DTQb3zqG)vCSIA2l;ALXqa5N*iFxy%utZ^X-`)i#VOXc|+AHVqI5Y
z2fm%Zw<uhF3^Y-j8q-Y>BM7BC@lPCtZ<-8NZbE=Gq*Wg5Lef1^!SyqrCTRFzWP4Q6
zcX+`zg9eZ-{?*MA^6xW_g1o1$tAyZlJ>G>kEDmpA8o*6x7PJLIQ#o$S(hbR>EjFi}
zw`$ojm6PR1;+yr%<;k=_piZX)8RXr$52ORvaN0XAOJ66hSd9^d-0l#})48!(4XPUp
zzftyohB9VYS^<q4V8uOVqEVpGWZ=%LQDfPVG^)MmCgt}_Pcn)!*}4yofn2CM$y$JG
zedHu9@cpB9d;VM7hn}sirM#NBzcP7*ozKEtgTPnoZXoKyz^@$!Wqh3Krl%c7yGLx6
zC)daxNR|j5RB&JIO;Z)`hmZX}f|NSn>!%^O(<Um$Me!3+{h<R6gCS&U9DDMZKlNhz
ziF1kTPxLSCrQx(vc%@LAMq&zH13MhCr5#$VO&%^{_RU?$v7fg8SgvVOP6Y&Q?j^h}
z=a<;@L$WsOAEY?MUrq|CH!*2XP@iGr)9c~E%A}3SlymRV{VsDtH0$UJYz#QCikQ5c
zJZV@CgeN^eFD@ZMJ{PwKkkFQML}cER(!P=Ts=SoXgm>S4T9{sF>;@I}!McqNthS8P
zuvbgO_nB1u&U3s9OB$_L-iK#B?pVB_R#l%S6hKz?F9B{lKVUcD-Ua|oXCs}kB%ste
zIb30fwsO7}O-gNI^b!YzwRM4ID&0V)V%;Qh*v@q&ZK1<lBL139Z@`ct!`zhD$u=Yu
z#Riq|j#{pXb7|CEDtW!EKOr>R(8F(~0<O=hh<j=t!XXldGJr-A3EXKpCYu)*cCQeg
z;?qw)<KYGPnoffeh&}pCNS$THr9qnDipa$$HYuEkJxAZmQ*mQyU&<<?I1R^tfA~^*
zD#GsZq$cVuS^U+twAY>R2T3d(BhyS3Oe(`Kc^_o#){eSG-n(^`qUC4g&p-|xpcL_X
z%oxCD0AaH~s%}+qNu+QX5cntq(T^hN->~aH;THhA{x^X0e~8ol$3fRWFzvr!SH`&+
z+Y7#Q+Zz8;y#wMhAOy=Ppv?M_@*rJ{aAa?uWt%6nmJa+ul)?HXd!A`UFG_+{vJWct
zrRB!fiUyr691(N-I!dl(<F$D=kQ~L|!vCt{TNr5o2QP5Qsbf_;-#aMW9xruoz#DRO
ztvqh-Z=xwx@RRR;*qTrI#ZltTxQeDc6|{=n1;d(}@tZN9Yj*^qt(Tpm7x<{?VNET+
zPN}i-aT~CYWZq44xnWH6hzGmoixKPV91{m&*XTx2UpHK6<PPK=Mw>5@C(RW|-#nhz
zV)MfHi!F7Nt8IiRNw08c`V4I&@KXrTYN42yif|Ip-W2RJ81!A<Aq#m2zb1WmCJMh5
zi*gd|)?&Ff`T2!SZ3=&FS8uCleu4tcI&T_rl$42DT$C=c3<75SLi;~i7@um%2lTR?
z&tN8rjIxV)yO&+<d~)&4?W(wI?3%@=QlU#1B`pjkD1TgQDOe13ys4#n|K)YVZ6=S^
zf=1VyesFX2tb=w?eQsuRxAt2)vNDrkI!^Gg9X*GP3m0(u9``D-rvg>=rIG%Zuj;+B
z>kN|4M%tP!ICFJt!kZ2K5Aro=M`RSiJK4x`MCk5kCzpEdw9T^2U+M}W^`i`3X(`?E
z4r)QGj*SA}1(s%&IR}WM3tPn*A<8k4c}iVN4sg9J-xHZ;g#PSr!NH!LfTuPEPGN~V
zRQ4WY!V7Tw)wdItNTgj({M|_L$9p?WZ*F8Kww#aE+e8&3(?Nikobj9q=*;O_FYa%O
z1;wQ*;gb)pYZ^-Vgb#mH_@<r5@~3Mv8ux}I?@b48>FY_691?M-yZnoY&}tWjhNW*T
znz2tbSoelq&nJfRq-B*&yUh1He{70uQ8K*_P~|T1XCMIE0b9VAn;A4*?S7h><D1Dh
zRnITMYUef^v9KHbi!SIW@(pTy2`+PfSsPo-Jbz{Me(!$x*`zXT{tg8+s6Ojs3bE0@
zxq&p3_$WevZb};+d~$|&An@AKn|n8OBuk7ICURzcxFUF8;UkqMREZ3<rp@-*pu@CY
z-|-BC*tk##-z3G-!KSYVnF1z*7wv-FM7n^s-Rynm^Zbgo7|QJg1#?9jKn2Cpdws{?
zr)D=#+)<&(y}v1xht@M@ql|OQ1%G((jP&q~zUZ7+zg;OUug;tJM$s-kHeeHru4?BE
z$<zE$-Gda?^_=DkN~pFYPnPH=C~;ejh_Zrso1_h#*qO@0`D_L`^S$OY^YVit`MSjh
zfJW3GiO7FCSy@s)gWmsXW(8*ak)26+;UOFX7@8L<%9J@2Fjat}|3ApS|D}2f0U`+d
z@_(sb{<je6e?sf>-@o%;nwOc@GLaNC1JpSb7+dapfo$voS^%V>fcvNArRb5T`X_GC
z={dD^Rh`XqXS#H2Sj)O6H$K>)z!#{Ein;B8OO#Z6vR-?MSv1Ve=U5x1P*pOWz_A5C
z>!ufQ1*>l#_({a=x#{fl`7Dl=&s|ONeIcFWc}aLSX<zsLCUq>$kvRJ_58Nx#!C1y!
z%<bc-x5LsxIFX%OA_-w%@AJ6SKPttn)0bX!2I*@Mf?E86VrhIZ5#zAz^eT#3$T?xx
zJtFRYP<-^^BtjfhT#Rb3Pp>Ul)ijU|(1<ZA`4(4rtc`yR>i*`Sl&)2egTtMqXzw8_
z{9A6ip6f&N0QdI}zn-t&i0|vY`;6|<$bB@mmM}25B$1x^CB4s6+<dsEe+2dOZ;HEJ
zNM$ayo*eYfi3=-q9>gN&=DKDN5U0;}gHZLg2j23{FAY-h!CmKhk)_w_lL6fxdM*u9
zQ@KyT^Z0z?iK=tt*eWu9(Be36ciq8sV7vCvb+byBC&lMDujI3K<Jj_Ji8+d5<i;g_
z%Km`MYTU77RtEw050MwWbzX6fq<QXLs$uEUV)^*$(__0C30)%+-x1pZ2TDLZU2Mcn
zS^r0GdrcFg&dajz(YnoBLj!5XQ99Wx0B`z_mS+YaA$w^lQZ!f@KuH(s$F?Z={&Y6M
ztA9@A|3!=S?mq%>|65dB_3v}@pZxa%@#2~L4$wuQSg6zD1#r|0tc<tf|Cj!2I`3DS
z);v{Z#%#4Mhigd2H-RI<%8Yus22X&daxX_oWIS){&&ZT}_v;?bzRRe2d71G|{19wL
zRI%yyrZSUhK94v8$hXf627KU{pOMlx&ve+gr1BSDS&l^Vttv&{w)WiDyppKQ=tl9r
zD)i;BGDnL9pq}xy^sk?hk0P(iu<-#(RA1?U0n=|sH$DO#?6n)f|2#YbDFWZ4UFPgP
Y{-u*aedP6jtM&j4?f;XZnZKw1KUK`CCIA2c

literal 0
HcmV?d00001

diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index 0caaf7f45f..dfdba98fcf 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -19,16 +19,8 @@ protected:
 
 protected:
     std::string combine(const std::string& _item1, const std::string& _item2);
-
     std::string combine_format(const std::string& item1, const std::string& item2, ...);
 
-    void readPoints(std::vector<std::vector<cv::Point3d> >& objectPoints,
-                   std::vector<std::vector<cv::Point2d> >& imagePoints,
-                   const std::string& path, const int n_images);
-
-    void readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,
-                        cv::OutputArray _P1, cv::OutputArray _P2, cv::OutputArray _Q);
-
     cv::Mat mergeRectification(const cv::Mat& l, const cv::Mat& r);
 };
 
@@ -71,16 +63,16 @@ TEST_F(FisheyeTest, undistortImage)
 {
     cv::Matx33d K = this->K;
     cv::Mat D = cv::Mat(this->D);
-    std::string file = combine(datasets_repository_path, "image000001.png");
+    std::string file = combine(datasets_repository_path, "/calib-3_stereo_from_JY/left/stereo_pair_014.jpg");
     cv::Matx33d newK = K;
     cv::Mat distorted = cv::imread(file), undistorted;
     {
         newK(0, 0) = 100;
         newK(1, 1) = 100;
         cv::Fisheye::undistortImage(distorted, undistorted, K, D, newK);
-        cv::Mat correct = cv::imread(combine(datasets_repository_path, "test_undistortImage/new_f_100.png"));
+        cv::Mat correct = cv::imread(combine(datasets_repository_path, "new_f_100.png"));
         if (correct.empty())
-            CV_Assert(cv::imwrite(combine(datasets_repository_path, "test_undistortImage/new_f_100.png"), undistorted));
+            CV_Assert(cv::imwrite(combine(datasets_repository_path, "new_f_100.png"), undistorted));
         else
             EXPECT_MAT_NEAR(correct, undistorted, 1e-10);
     }
@@ -88,9 +80,9 @@ TEST_F(FisheyeTest, undistortImage)
         double balance = 1.0;
         cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
         cv::Fisheye::undistortImage(distorted, undistorted, K, D, newK);
-        cv::Mat correct = cv::imread(combine(datasets_repository_path, "test_undistortImage/balance_1.0.png"));
+        cv::Mat correct = cv::imread(combine(datasets_repository_path, "balance_1.0.png"));
         if (correct.empty())
-            CV_Assert(cv::imwrite(combine(datasets_repository_path, "test_undistortImage/balance_1.0.png"), undistorted));
+            CV_Assert(cv::imwrite(combine(datasets_repository_path, "balance_1.0.png"), undistorted));
         else
             EXPECT_MAT_NEAR(correct, undistorted, 1e-10);
     }
@@ -99,9 +91,9 @@ TEST_F(FisheyeTest, undistortImage)
         double balance = 0.0;
         cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
         cv::Fisheye::undistortImage(distorted, undistorted, K, D, newK);
-        cv::Mat correct = cv::imread(combine(datasets_repository_path, "test_undistortImage/balance_0.0.png"));
+        cv::Mat correct = cv::imread(combine(datasets_repository_path, "balance_0.0.png"));
         if (correct.empty())
-            CV_Assert(cv::imwrite(combine(datasets_repository_path, "test_undistortImage/balance_0.0.png"), undistorted));
+            CV_Assert(cv::imwrite(combine(datasets_repository_path, "balance_0.0.png"), undistorted));
         else
             EXPECT_MAT_NEAR(correct, undistorted, 1e-10);
     }
@@ -206,10 +198,21 @@ TEST_F(FisheyeTest, Calibration)
 {
     const int n_images = 34;
 
-    std::vector<std::vector<cv::Point2d> > imagePoints;
-    std::vector<std::vector<cv::Point3d> > objectPoints;
+    std::vector<std::vector<cv::Point2d> > imagePoints(n_images);
+    std::vector<std::vector<cv::Point3d> > objectPoints(n_images);
 
-    readPoints(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images);
+    const std::string folder =combine(datasets_repository_path, "calib-3_stereo_from_JY");
+    cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_left.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_left[cv::format("image_%d", i )] >> imagePoints[i];
+    fs_left.release();
+
+    cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_object.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_object[cv::format("image_%d", i )] >> objectPoints[i];
+    fs_object.release();
 
     int flag = 0;
     flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
@@ -230,10 +233,22 @@ TEST_F(FisheyeTest, Homography)
 {
     const int n_images = 1;
 
-    std::vector<std::vector<cv::Point2d> > imagePoints;
-    std::vector<std::vector<cv::Point3d> > objectPoints;
+    std::vector<std::vector<cv::Point2d> > imagePoints(n_images);
+    std::vector<std::vector<cv::Point3d> > objectPoints(n_images);
+
+    const std::string folder =combine(datasets_repository_path, "calib-3_stereo_from_JY");
+    cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_left.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_left[cv::format("image_%d", i )] >> imagePoints[i];
+    fs_left.release();
+
+    cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_object.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_object[cv::format("image_%d", i )] >> objectPoints[i];
+    fs_object.release();
 
-    readPoints(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images);
     cv::internal::IntrinsicParams param;
     param.Init(cv::Vec2d(cv::max(imageSize.width, imageSize.height) / CV_PI, cv::max(imageSize.width, imageSize.height) / CV_PI),
                cv::Vec2d(imageSize.width  / 2.0 - 0.5, imageSize.height / 2.0 - 0.5));
@@ -279,10 +294,21 @@ TEST_F(FisheyeTest, EtimateUncertainties)
 {
     const int n_images = 34;
 
-    std::vector<std::vector<cv::Point2d> > imagePoints;
-    std::vector<std::vector<cv::Point3d> > objectPoints;
+    std::vector<std::vector<cv::Point2d> > imagePoints(n_images);
+    std::vector<std::vector<cv::Point3d> > objectPoints(n_images);
+
+    const std::string folder =combine(datasets_repository_path, "calib-3_stereo_from_JY");
+    cv::FileStorage fs_left(combine(folder, "left.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_left.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_left[cv::format("image_%d", i )] >> imagePoints[i];
+    fs_left.release();
 
-    readPoints(objectPoints, imagePoints, combine(datasets_repository_path, "calib-3_stereo_from_JY/left"), n_images);
+    cv::FileStorage fs_object(combine(folder, "object.xml"), cv::FileStorage::READ);
+    CV_Assert(fs_object.isOpened());
+    for(int i = 0; i < n_images; ++i)
+    fs_object[cv::format("image_%d", i )] >> objectPoints[i];
+    fs_object.release();
 
     int flag = 0;
     flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
@@ -360,12 +386,13 @@ TEST_F(FisheyeTest, rectify)
 
         cv::Mat rectification = mergeRectification(lundist, rundist);
 
-        cv::Mat correct = cv::imread(combine_format(folder, "test_rectify/rectification_AB_%03d.png", i));
+        cv::Mat correct = cv::imread(combine_format(datasets_repository_path, "rectification_AB_%03d.png", i));
+
         if (correct.empty())
-            cv::imwrite(combine_format(folder, "test_rectify/rectification_AB_%03d.png", i), rectification);
-        else
-            EXPECT_MAT_NEAR(correct, rectification, 1e-10);
-    }
+            cv::imwrite(combine_format(datasets_repository_path, "rectification_AB_%03d.png", i), rectification);
+         else
+             EXPECT_MAT_NEAR(correct, rectification, 1e-10);
+     }
 }
 
 TEST_F(FisheyeTest, stereoCalibrate)
@@ -396,58 +423,6 @@ TEST_F(FisheyeTest, stereoCalibrate)
     fs_object[cv::format("image_%d", i )] >> objectPoints[i];
     fs_object.release();
 
-    std::ofstream fs;
-
-    for (size_t i = 0; i < leftPoints.size(); i++)
-    {
-        std::string ss = combine(folder, "left");
-        ss = combine_format(ss, "%d", i);
-        fs.open(ss.c_str());
-        CV_Assert(fs.is_open());
-        for (size_t j = 0; j < leftPoints[i].size(); j++)
-        {
-            double x = leftPoints[i][j].x;
-            double y = leftPoints[i][j].y;
-            fs << std::setprecision(15) << x << "; " << y;
-            fs << std::endl;
-        }
-        fs.close();
-    }
-
-    for (size_t i = 0; i < rightPoints.size(); i++)
-    {
-        std::string ss = combine(folder, "right");
-        ss = combine_format(ss, "%d", i);
-        fs.open(ss.c_str());
-        CV_Assert(fs.is_open());
-        for (size_t j = 0; j < rightPoints[i].size(); j++)
-        {
-            double x = rightPoints[i][j].x;
-            double y = rightPoints[i][j].y;
-              fs << std::setprecision(15) << x << "; " << y;
-            fs << std::endl;
-        }
-        fs.close();
-    }
-
-    for (size_t i = 0; i < objectPoints.size(); i++)
-    {
-        std::string ss = combine(folder, "object");
-        ss = combine_format(ss, "%d", i);
-        fs.open(ss.c_str());
-        CV_Assert(fs.is_open());
-        for (size_t j = 0; j < objectPoints[i].size(); j++)
-        {
-            double x = objectPoints[i][j].x;
-            double y = objectPoints[i][j].y;
-            double z = objectPoints[i][j].z;
-               fs << std::setprecision(15) << x << "; " << y;
-            fs << std::setprecision(15) << "; " << z;
-            fs << std::endl;
-        }
-        fs.close();
-    }
-
     cv::Matx33d K1, K2, R;
     cv::Vec3d T;
     cv::Vec4d D1, D2;
@@ -516,59 +491,6 @@ TEST_F(FisheyeTest, stereoCalibrateFixIntrinsic)
     fs_object[cv::format("image_%d", i )] >> objectPoints[i];
     fs_object.release();
 
-
-    std::ofstream fs;
-
-    for (size_t i = 0; i < leftPoints.size(); i++)
-    {
-        std::string ss = combine(folder, "left");
-        ss = combine_format(ss, "%d", i);
-        fs.open(ss.c_str());
-        CV_Assert(fs.is_open());
-        for (size_t j = 0; j < leftPoints[i].size(); j++)
-        {
-            double x = leftPoints[i][j].x;
-            double y = leftPoints[i][j].y;
-            fs << std::setprecision(15) << x << "; " << y;
-            fs << std::endl;
-        }
-        fs.close();
-    }
-
-    for (size_t i = 0; i < rightPoints.size(); i++)
-    {
-        std::string ss = combine(folder, "right");
-        ss = combine_format(ss, "%d", i);
-        fs.open(ss.c_str());
-        CV_Assert(fs.is_open());
-        for (size_t j = 0; j < rightPoints[i].size(); j++)
-        {
-            double x = rightPoints[i][j].x;
-            double y = rightPoints[i][j].y;
-              fs << std::setprecision(15) << x << "; " << y;
-            fs << std::endl;
-        }
-        fs.close();
-    }
-
-    for (size_t i = 0; i < objectPoints.size(); i++)
-    {
-        std::string ss = combine(folder, "object");
-        ss = combine_format(ss, "%d", i);
-        fs.open(ss.c_str());
-        CV_Assert(fs.is_open());
-        for (size_t j = 0; j < objectPoints[i].size(); j++)
-        {
-            double x = objectPoints[i][j].x;
-            double y = objectPoints[i][j].y;
-            double z = objectPoints[i][j].z;
-               fs << std::setprecision(15) << x << "; " << y;
-            fs << std::setprecision(15) << "; " << z;
-            fs << std::endl;
-        }
-        fs.close();
-    }
-
     cv::Matx33d R;
     cv::Vec3d T;
 
@@ -647,42 +569,6 @@ std::string FisheyeTest::combine_format(const std::string& item1, const std::str
     return std::string(buffer);
 }
 
-void FisheyeTest::readPoints(std::vector<std::vector<cv::Point3d> >& objectPoints,
-               std::vector<std::vector<cv::Point2d> >& imagePoints,
-               const std::string& path, const int n_images)
-{
-    objectPoints.resize(n_images);
-    imagePoints.resize(n_images);
-
-    cv::FileStorage fs1(combine(path, "objectPoints.xml"), cv::FileStorage::READ);
-    CV_Assert(fs1.isOpened());
-    for (size_t i = 0; i < objectPoints.size(); ++i)
-    {
-        fs1[cv::format("image_%d", i)] >> objectPoints[i];
-    }
-    fs1.release();
-
-    cv::FileStorage fs2(combine(path, "imagePoints.xml"), cv::FileStorage::READ);
-    CV_Assert(fs2.isOpened());
-    for (size_t i = 0; i < imagePoints.size(); ++i)
-    {
-        fs2[cv::format("image_%d", i)] >> imagePoints[i];
-    }
-    fs2.release();
-}
-
-void FisheyeTest::readExtrinsics(const std::string& file, cv::OutputArray _R, cv::OutputArray _T, cv::OutputArray _R1, cv::OutputArray _R2,
-                    cv::OutputArray _P1, cv::OutputArray _P2, cv::OutputArray _Q)
-{
-    cv::FileStorage fs(file, cv::FileStorage::READ);
-    CV_Assert(fs.isOpened());
-
-    cv::Mat R, T, R1, R2, P1, P2, Q;
-    fs["R"] >> R;   fs["T"] >> T;   fs["R1"] >> R1;   fs["R2"] >> R2;   fs["P1"] >> P1;   fs["P2"] >> P2;   fs["Q"] >> Q;
-    if (_R.needed()) R.copyTo(_R); if(_T.needed()) T.copyTo(_T); if (_R1.needed()) R1.copyTo(_R1); if (_R2.needed()) R2.copyTo(_R2);
-    if(_P1.needed()) P1.copyTo(_P1); if(_P2.needed()) P2.copyTo(_P2); if(_Q.needed()) Q.copyTo(_Q);
-}
-
 cv::Mat FisheyeTest::mergeRectification(const cv::Mat& l, const cv::Mat& r)
 {
     CV_Assert(l.type() == r.type() && l.size() == r.size());

From aa76ef9a98d64e45f441eb914541f78d66912b9f Mon Sep 17 00:00:00 2001
From: Konstantin Matskevich <konstantin.matskevich@itseez.com>
Date: Wed, 7 May 2014 17:19:22 +0400
Subject: [PATCH 14/92] fixes

---
 .../include/opencv2/contrib/contrib.hpp       |  4 +-
 modules/contrib/src/facerec.cpp               | 46 +++++++++----------
 samples/cpp/facerec_demo.cpp                  |  2 +-
 3 files changed, 25 insertions(+), 27 deletions(-)

diff --git a/modules/contrib/include/opencv2/contrib/contrib.hpp b/modules/contrib/include/opencv2/contrib/contrib.hpp
index 18c6eeb4b6..b3b4f330db 100644
--- a/modules/contrib/include/opencv2/contrib/contrib.hpp
+++ b/modules/contrib/include/opencv2/contrib/contrib.hpp
@@ -952,10 +952,10 @@ namespace cv
         virtual void setLabelsInfo(const std::map<int, string>& additionalInfo) = 0;
 
         // Gets string information by label
-        virtual string getLabelInfo(const int label) = 0;
+        virtual string getLabelInfo(int label) const = 0;
 
         // Gets labels by string
-        virtual vector<int> getLabelsByString(const string str) = 0;
+        virtual vector<int> getLabelsByString(const string& str) = 0;
     };
 
     CV_EXPORTS_W Ptr<FaceRecognizer> createEigenFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
diff --git a/modules/contrib/src/facerec.cpp b/modules/contrib/src/facerec.cpp
index 20bd411075..9c310e0316 100644
--- a/modules/contrib/src/facerec.cpp
+++ b/modules/contrib/src/facerec.cpp
@@ -21,9 +21,9 @@
 struct LabelInfo
 {
     LabelInfo():label(-1), value("") {}
-    LabelInfo(int _label, std::string _value): label(_label), value(_value) {}
-    std::string value;
+    LabelInfo(int _label, const std::string &_value): label(_label), value(_value) {}
     int label;
+    std::string value;
     void write(cv::FileStorage& fs) const
     {
         fs << "{" << "label" << label << "value" << value << "}";
@@ -33,7 +33,11 @@ struct LabelInfo
         label = (int)node["label"];
         value = (std::string)node["value"];
     }
-    friend std::ostream& operator<<(std::ostream& out, const LabelInfo& info);
+    std::ostream& operator<<(std::ostream& out)
+    {
+        out << "{ label = " << label << ", " << "value = " << value << "}";
+        return out;
+    }
 };
 
 static void write(cv::FileStorage& fs, const std::string&, const LabelInfo& x)
@@ -49,12 +53,6 @@ static void read(const cv::FileNode& node, LabelInfo& x, const LabelInfo& defaul
         x.read(node);
 }
 
-std::ostream& operator<<(std::ostream& out, const LabelInfo& info)
-{
-    out << "{ label = " << info.label << ", " << "value = " << info.value << "}";
-    return out;
-}
-
 namespace cv
 {
 
@@ -188,10 +186,10 @@ public:
     void setLabelsInfo(const std::map<int,string>& labelsInfo);
 
     // Gets additional information by label
-    string getLabelInfo(const int label);
+    string getLabelInfo(int label) const;
 
     // Gets labels by string
-    std::vector<int> getLabelsByString(const string str);
+    std::vector<int> getLabelsByString(const string& str);
 
     AlgorithmInfo* info() const;
 };
@@ -253,10 +251,10 @@ public:
     void setLabelsInfo(const std::map<int,string>& labelsInfo);
 
     // Gets additional information by label
-    string getLabelInfo(const int label);
+    string getLabelInfo(int label) const;
 
     // Gets labels by string
-    std::vector<int> getLabelsByString(const string str);
+    std::vector<int> getLabelsByString(const string& str);
 
     AlgorithmInfo* info() const;
 };
@@ -348,10 +346,10 @@ public:
     void setLabelsInfo(const std::map<int,string>& labelsInfo);
 
     // Gets additional information by label
-    string getLabelInfo(const int label);
+    string getLabelInfo(int label) const;
 
     // Gets labels by string
-    std::vector<int> getLabelsByString(const string str);
+    std::vector<int> getLabelsByString(const string& str);
 
     // Getter functions.
     int neighbors() const { return _neighbors; }
@@ -522,14 +520,14 @@ void Eigenfaces::setLabelsInfo(const std::map<int,string>& labelsInfo)
     _labelsInfo = labelsInfo;
 }
 
-string Eigenfaces::getLabelInfo(const int label)
+string Eigenfaces::getLabelInfo(int label) const
 {
     if(_labelsInfo.count(label) > 0)
-        return _labelsInfo[label];
+        return _labelsInfo.at(label);
     return "";
 }
 
-vector<int> Eigenfaces::getLabelsByString(const string str)
+vector<int> Eigenfaces::getLabelsByString(const string& str)
 {
     vector<int> labels;
     for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
@@ -683,14 +681,14 @@ void Fisherfaces::setLabelsInfo(const std::map<int,string>& labelsInfo)
     _labelsInfo = labelsInfo;
 }
 
-string Fisherfaces::getLabelInfo(const int label)
+string Fisherfaces::getLabelInfo(int label) const
 {
     if(_labelsInfo.count(label) > 0)
-        return _labelsInfo[label];
+        return _labelsInfo.at(label);
     return "";
 }
 
-vector<int> Fisherfaces::getLabelsByString(const string str)
+vector<int> Fisherfaces::getLabelsByString(const string& str)
 {
     vector<int> labels;
     for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
@@ -920,14 +918,14 @@ void LBPH::setLabelsInfo(const std::map<int,string>& labelsInfo)
     _labelsInfo = labelsInfo;
 }
 
-string LBPH::getLabelInfo(const int label)
+string LBPH::getLabelInfo(int label) const
 {
     if(_labelsInfo.count(label) > 0)
-        return _labelsInfo[label];
+        return _labelsInfo.at(label);
     return "";
 }
 
-vector<int> LBPH::getLabelsByString(const string str)
+vector<int> LBPH::getLabelsByString(const string& str)
 {
     vector<int> labels;
     for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
diff --git a/samples/cpp/facerec_demo.cpp b/samples/cpp/facerec_demo.cpp
index dfc15aa81e..ef480c6df7 100644
--- a/samples/cpp/facerec_demo.cpp
+++ b/samples/cpp/facerec_demo.cpp
@@ -130,7 +130,7 @@ int main(int argc, const char *argv[]) {
     //
     string result_message = format("Predicted class = %d / Actual class = %d.", predictedLabel, testLabel);
     cout << result_message << endl;
-    if( (predictedLabel == testLabel) && (model->getLabelInfo(predictedLabel) != "") )
+    if( (predictedLabel == testLabel) && !model->getLabelInfo(predictedLabel).empty() )
         cout << format("%d-th label's info: %s", predictedLabel, model->getLabelInfo(predictedLabel).c_str()) << endl;
     // Sometimes you'll need to get/set internal model data,
     // which isn't exposed by the public cv::FaceRecognizer.

From d67c9aabff3d16e6e7b1c966b5983ad513dcb5e7 Mon Sep 17 00:00:00 2001
From: Konstantin Matskevich <konstantin.matskevich@itseez.com>
Date: Thu, 8 May 2014 16:43:03 +0400
Subject: [PATCH 15/92] docs

---
 modules/contrib/doc/facerec/facerec_api.rst   | 38 ++++++++++++++++++
 .../include/opencv2/contrib/contrib.hpp       |  4 +-
 modules/contrib/src/facerec.cpp               | 39 +++++++++----------
 3 files changed, 58 insertions(+), 23 deletions(-)

diff --git a/modules/contrib/doc/facerec/facerec_api.rst b/modules/contrib/doc/facerec/facerec_api.rst
index 2aa3dcfa00..8de4359c52 100644
--- a/modules/contrib/doc/facerec/facerec_api.rst
+++ b/modules/contrib/doc/facerec/facerec_api.rst
@@ -46,6 +46,15 @@ a unified access to all face recongition algorithms in OpenCV. ::
 
       // Deserializes this object from a given cv::FileStorage.
       virtual void load(const FileStorage& fs) = 0;
+
+      // Sets additional information as pairs label - info.
+      virtual void setLabelsInfo(const std::map<int, string>& labelsInfo) = 0;
+
+      // Gets string information by label
+      virtual string getLabelInfo(int label) const = 0;
+
+      // Gets labels by string
+      virtual vector<int> getLabelsByString(const string& str) = 0;
   };
 
 
@@ -70,6 +79,8 @@ Moreover every :ocv:class:`FaceRecognizer` supports the:
 
 * **Loading/Saving** the model state from/to a given XML or YAML.
 
+* **Setting/Getting labels info**, that is storaged as a string.
+
 .. note:: When using the FaceRecognizer interface in combination with Python, please stick to Python 2. Some underlying scripts like create_csv will not work in other versions, like Python 3.
 
 Setting the Thresholds
@@ -293,6 +304,30 @@ to enable loading the model state. ``FaceRecognizer::load(FileStorage& fs)`` in
 turn gets called by ``FaceRecognizer::load(const string& filename)``, to ease
 saving a model.
 
+FaceRecognizer::setLabelsInfo
+-----------------------------
+
+Sets string information about labels into the model.
+.. ocv:function:: void FaceRecognizer::setLabelsInfo(const std::map<int, string>& labelsInfo) = 0
+
+Information about the label loads as a pair label-its info.
+
+FaceRecognizer::getLabelInfo
+----------------------------
+
+Gets string information by label.
+.. ocv:function:: string FaceRecognizer::getLabelInfo(int label) const = 0
+
+If there is no such label in the model or there is no information about the label it will return an empty string.
+
+FaceRecognizer::getLabelsByString
+---------------------------------
+Gets vector of labels by string.
+
+.. ocv:function:: vector<int> FaceRecognizer::getLabelsByString(const string& str) = 0
+
+If the string contained in a string information for a label, this label will be pushed into the vector.
+
 createEigenFaceRecognizer
 -------------------------
 
@@ -319,6 +354,7 @@ Model internal data:
 * ``mean`` The sample mean calculated from the training data.
 * ``projections`` The projections of the training data.
 * ``labels`` The threshold applied in the prediction. If the distance to the nearest neighbor is larger than the threshold, this method returns -1.
+* ``labelsInfo`` The string information about the labels.
 
 createFisherFaceRecognizer
 --------------------------
@@ -346,6 +382,7 @@ Model internal data:
 * ``mean`` The sample mean calculated from the training data.
 * ``projections`` The projections of the training data.
 * ``labels`` The labels corresponding to the projections.
+* ``labelsInfo`` The string information about the labels.
 
 
 createLBPHFaceRecognizer
@@ -375,3 +412,4 @@ Model internal data:
 * ``threshold`` see :ocv:func:`createLBPHFaceRecognizer`.
 * ``histograms`` Local Binary Patterns Histograms calculated from the given training data (empty if none was given).
 * ``labels`` Labels corresponding to the calculated Local Binary Patterns Histograms.
+* ``labelsInfo`` The string information about the labels.
diff --git a/modules/contrib/include/opencv2/contrib/contrib.hpp b/modules/contrib/include/opencv2/contrib/contrib.hpp
index b3b4f330db..e6e11d816a 100644
--- a/modules/contrib/include/opencv2/contrib/contrib.hpp
+++ b/modules/contrib/include/opencv2/contrib/contrib.hpp
@@ -948,8 +948,8 @@ namespace cv
         // Deserializes this object from a given cv::FileStorage.
         virtual void load(const FileStorage& fs) = 0;
 
-        // Sets additions information as pairs label - info.
-        virtual void setLabelsInfo(const std::map<int, string>& additionalInfo) = 0;
+        // Sets additional information as pairs label - info.
+        virtual void setLabelsInfo(const std::map<int, string>& labelsInfo) = 0;
 
         // Gets string information by label
         virtual string getLabelInfo(int label) const = 0;
diff --git a/modules/contrib/src/facerec.cpp b/modules/contrib/src/facerec.cpp
index 9c310e0316..ef32b5273a 100644
--- a/modules/contrib/src/facerec.cpp
+++ b/modules/contrib/src/facerec.cpp
@@ -182,10 +182,10 @@ public:
     // See FaceRecognizer::save.
     void save(FileStorage& fs) const;
 
-    // Sets additions information as pairs label - info.
+    // Sets additional information as pairs label - info.
     void setLabelsInfo(const std::map<int,string>& labelsInfo);
 
-    // Gets additional information by label
+    // Gets string information by label
     string getLabelInfo(int label) const;
 
     // Gets labels by string
@@ -247,10 +247,10 @@ public:
     // See FaceRecognizer::save.
     void save(FileStorage& fs) const;
 
-    // Sets additions information as pairs label - info.
+    // Sets additional information as pairs label - info.
     void setLabelsInfo(const std::map<int,string>& labelsInfo);
 
-    // Gets additional information by label
+    // Gets string information by label
     string getLabelInfo(int label) const;
 
     // Gets labels by string
@@ -342,10 +342,10 @@ public:
     // See FaceRecognizer::save.
     void save(FileStorage& fs) const;
 
-    // Sets additions information as pairs label - info.
+    // Sets additional information as pairs label - info.
     void setLabelsInfo(const std::map<int,string>& labelsInfo);
 
-    // Gets additional information by label
+    // Gets string information by label
     string getLabelInfo(int label) const;
 
     // Gets labels by string
@@ -487,7 +487,7 @@ void Eigenfaces::load(const FileStorage& fs) {
     // read sequences
     readFileNodeList(fs["projections"], _projections);
     fs["labels"] >> _labels;
-    const FileNode& fn = fs["info"];
+    const FileNode& fn = fs["labelsInfo"];
     if (fn.type() == FileNode::SEQ)
     {
         _labelsInfo.clear();
@@ -509,7 +509,7 @@ void Eigenfaces::save(FileStorage& fs) const {
     // write sequences
     writeFileNodeList(fs, "projections", _projections);
     fs << "labels" << _labels;
-    fs << "info" << "[";
+    fs << "labelsInfo" << "[";
     for (std::map<int, string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
         fs << LabelInfo(it->first, it->second);
     fs << "]";
@@ -522,9 +522,8 @@ void Eigenfaces::setLabelsInfo(const std::map<int,string>& labelsInfo)
 
 string Eigenfaces::getLabelInfo(int label) const
 {
-    if(_labelsInfo.count(label) > 0)
-        return _labelsInfo.at(label);
-    return "";
+    std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
+    return iter != _labelsInfo.end() ? iter->second : "";
 }
 
 vector<int> Eigenfaces::getLabelsByString(const string& str)
@@ -647,7 +646,7 @@ void Fisherfaces::load(const FileStorage& fs) {
     // read sequences
     readFileNodeList(fs["projections"], _projections);
     fs["labels"] >> _labels;
-    const FileNode& fn = fs["info"];
+    const FileNode& fn = fs["labelsInfo"];
     if (fn.type() == FileNode::SEQ)
     {
         _labelsInfo.clear();
@@ -670,7 +669,7 @@ void Fisherfaces::save(FileStorage& fs) const {
     // write sequences
     writeFileNodeList(fs, "projections", _projections);
     fs << "labels" << _labels;
-    fs << "info" << "[";
+    fs << "labelsInfo" << "[";
     for (std::map<int, string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
         fs << LabelInfo(it->first, it->second);
     fs << "]";
@@ -683,9 +682,8 @@ void Fisherfaces::setLabelsInfo(const std::map<int,string>& labelsInfo)
 
 string Fisherfaces::getLabelInfo(int label) const
 {
-    if(_labelsInfo.count(label) > 0)
-        return _labelsInfo.at(label);
-    return "";
+    std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
+    return iter != _labelsInfo.end() ? iter->second : "";
 }
 
 vector<int> Fisherfaces::getLabelsByString(const string& str)
@@ -885,7 +883,7 @@ void LBPH::load(const FileStorage& fs) {
     //read matrices
     readFileNodeList(fs["histograms"], _histograms);
     fs["labels"] >> _labels;
-    const FileNode& fn = fs["info"];
+    const FileNode& fn = fs["labelsInfo"];
     if (fn.type() == FileNode::SEQ)
     {
         _labelsInfo.clear();
@@ -907,7 +905,7 @@ void LBPH::save(FileStorage& fs) const {
     // write matrices
     writeFileNodeList(fs, "histograms", _histograms);
     fs << "labels" << _labels;
-    fs << "info" << "[";
+    fs << "labelsInfo" << "[";
     for (std::map<int, string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
         fs << LabelInfo(it->first, it->second);
     fs << "]";
@@ -920,9 +918,8 @@ void LBPH::setLabelsInfo(const std::map<int,string>& labelsInfo)
 
 string LBPH::getLabelInfo(int label) const
 {
-    if(_labelsInfo.count(label) > 0)
-        return _labelsInfo.at(label);
-    return "";
+    std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
+    return iter != _labelsInfo.end() ? iter->second : "";
 }
 
 vector<int> LBPH::getLabelsByString(const string& str)

From e4a9c0f184024330ab33eb7997874921d9fe0195 Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Mon, 12 May 2014 15:37:47 +0400
Subject: [PATCH 16/92] Fixed review comments

---
 ...mera_calibration_and_3d_reconstruction.rst | 23 ++++++++-----------
 .../include/opencv2/calib3d/calib3d.hpp       |  5 ----
 2 files changed, 9 insertions(+), 19 deletions(-)

diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
index 20a731f958..2f1bc69819 100644
--- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
+++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
@@ -1518,7 +1518,7 @@ The methods in this class use a so-called fisheye camera model. ::
         static void initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
             const cv::Size& size, int m1type, OutputArray map1, OutputArray map2);
 
-        //! undistorts image, optionally changes resolution and camera matrix. If Knew zero identity matrix is used
+        //! undistorts image, optionally changes resolution and camera matrix.
         static void undistortImage(InputArray distorted, OutputArray undistorted,
             InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size());
 
@@ -1526,11 +1526,6 @@ The methods in this class use a so-called fisheye camera model. ::
         static void estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
             OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0);
 
-        //! stereo rectification for fisheye camera model
-        static void stereoRectify( InputArray K1, InputArray D1, InputArray K2, InputArray D2, const cv::Size& imageSize,
-            InputArray rotaion, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q,
-                int flags = cv::CALIB_ZERO_DISPARITY, double alpha = -1, const Size& newImageSize = Size(), Rect* roi1 = 0, Rect* roi2 = 0 );
-
         //! performs camera calibaration
         static double calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
             InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,
@@ -1699,7 +1694,7 @@ Transforms an image to compensate for fisheye lens distortion.
 
     :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
 
-    :param Knew: Camera matrix of the distorted image. By default, it is the same as  ``cameraMatrix``  but you may additionally scale and shift the result by using a different matrix.
+    :param Knew: Camera matrix of the distorted image. By default, it is the identity matrix but you may additionally scale and shift the result by using a different matrix.
 
     :param undistorted: Output image with compensated fisheye lens distortion.
 
@@ -1734,14 +1729,14 @@ Estimates new camera matrix for undistortion or rectification.
 
     :param P: New camera matrix (3x3) or new projection matrix (3x4)
 
+    :param balance: Sets the new focal length in range between the min focal length and the max focal length. Balance is in range of [0, 1].
+
+    :param fov_scale: Divisor for new focal length.
+
 Fisheye::stereoRectify
 ------------------------------
 Stereo rectification for fisheye camera model
 
-.. ocv:function:: void Fisheye::stereoRectify( InputArray K1, InputArray D1, InputArray K2, InputArray D2, const cv::Size& imageSize,
-        InputArray rotaion, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q,
-            int flags = cv::CALIB_ZERO_DISPARITY, double alpha = -1, const Size& newImageSize = Size(), Rect* roi1 = 0, Rect* roi2 = 0 )
-
 .. ocv:function:: void Fisheye::stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
         OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(),
         double balance = 0.0, double fov_scale = 1.0)
@@ -1780,9 +1775,9 @@ Stereo rectification for fisheye camera model
 
     :param roi2: Optional output rectangles inside the rectified images where all the pixels are valid. If  ``alpha=0`` , the ROIs cover the whole images. Otherwise, they are likely to be smaller (see the picture below).
 
-    :param balance: Balance.
+    :param balance: Sets the new focal length in range between the min focal length and the max focal length. Balance is in range of [0, 1].
 
-    :param fov_scale: Field of View scale.
+    :param fov_scale: Divisor for new focal length.
 
 
 
@@ -1794,7 +1789,7 @@ Performs camera calibaration
         InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,
             TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
 
-    :param objectPoints: vector of vectors of calibration pattern points in the calibration pattern coordinate space. The outer vector contains as many elements as the number of the pattern views. If the same calibration pattern is shown in each view and it is fully visible, all the vectors will be the same. Although, it is possible to use partially occluded patterns, or even different patterns in different views. Then, the vectors will be different. The points are 3D, but since they are in a pattern coordinate system, then, if the rig is planar, it may make sense to put the model to a XY coordinate plane so that Z-coordinate of each input object point is 0.
+    :param objectPoints: vector of vectors of calibration pattern points in the calibration pattern coordinate space.
 
     :param imagePoints: vector of vectors of the projections of calibration pattern points. ``imagePoints.size()`` and ``objectPoints.size()`` and ``imagePoints[i].size()`` must be equal to ``objectPoints[i].size()`` for each ``i``.
 
diff --git a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
index 7b7f92efc8..67cf56890f 100644
--- a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
@@ -789,11 +789,6 @@ public:
     static void estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
         OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0);
 
-    //! stereo rectification for fisheye camera model
-    static void stereoRectify( InputArray K1, InputArray D1, InputArray K2, InputArray D2, const cv::Size& imageSize,
-        InputArray rotaion, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q,
-            int flags = cv::CALIB_ZERO_DISPARITY, double alpha = -1, const Size& newImageSize = Size(), Rect* roi1 = 0, Rect* roi2 = 0 );
-
     //! performs camera calibaration
     static double calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
         InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,

From c30fef1f9ded38817e8280a27c8a67db4e2bea0d Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Tue, 13 May 2014 13:34:46 +0400
Subject: [PATCH 17/92] Fixed build issues

---
 ...mera_calibration_and_3d_reconstruction.rst | 80 ++++++++-----------
 .../include/opencv2/calib3d/calib3d.hpp       |  2 +-
 modules/calib3d/src/fisheye.cpp               | 78 ++++++++----------
 modules/calib3d/src/fisheye.hpp               |  9 ++-
 modules/calib3d/test/test_fisheye.cpp         |  1 -
 5 files changed, 73 insertions(+), 97 deletions(-)

diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
index 2f1bc69819..5f64125eba 100644
--- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
+++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
@@ -1536,13 +1536,17 @@ The methods in this class use a so-called fisheye camera model. ::
             OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(),
             double balance = 0.0, double fov_scale = 1.0);
 
-        ...
+        //! performs stereo calibration
+        static double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
+                                      InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize,
+                                      OutputArray R, OutputArray T, int flags = CALIB_FIX_INTRINSIC,
+                                      TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON));
     };
 
 
 Definitions:
 Let P be a point in 3D of coordinates X in the world reference frame (stored in the matrix X)
-The coordinate vector of P in the camera reference frame is: 
+The coordinate vector of P in the camera reference frame is:
 
 .. class:: center
 .. math::
@@ -1556,13 +1560,13 @@ call x, y and z the 3 coordinates of Xc:
 .. math::
     x = Xc_1 \\
     y = Xc_2 \\
-    z = Xc_3 
+    z = Xc_3
 
-The pinehole projection coordinates of P is [a; b] where 
+The pinehole projection coordinates of P is [a; b] where
 
 .. class:: center
 .. math::
-  
+
     a = x / z \ and \ b = y / z \\
     r^2 = a^2 + b^2 \\
     \theta = atan(r)
@@ -1570,22 +1574,22 @@ The pinehole projection coordinates of P is [a; b] where
 Fisheye distortion:
 
 .. class:: center
-.. math:: 
-    
+.. math::
+
     \theta_d = \theta (1 + k_1 \theta^2 + k_2 \theta^4 + k_3 \theta^6 + k_4 \theta^8)
 
 The distorted point coordinates are [x'; y'] where
 
-.. class:: center
-.. math:: 
-    
+..class:: center
+.. math::
+
     x' = (\theta_d / r) x \\
     y' = (\theta_d / r) y
 
 Finally, convertion into pixel coordinates: The final pixel coordinates vector [u; v] where:
 
 .. class:: center
-.. math:: 
+.. math::
 
     u = f_x (x' + \alpha y') + c_x \\
     v = f_y yy + c_y
@@ -1596,38 +1600,32 @@ Projects points using fisheye model
 
 .. ocv:function:: void Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine, InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray())
 
-.. ocv:function:: void Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec,
-            InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray())
+.. ocv:function:: void Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec, InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray())
 
     :param objectPoints: Array of object points, 1xN/Nx1 3-channel  (or  ``vector<Point3f>`` ), where N is the number of points in the view.
 
-    :param rvec: Rotation vector. See  :ocv:func:`Rodrigues` for details.
+    :param rvec: Rotation vector. See :ocv:func:`Rodrigues` for details.
 
     :param tvec: Translation vector.
 
-    :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}` .
+    :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
 
     :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
 
     :param alpha: The skew coefficient.
 
-    :param imagePoints: Output array of image points, 2xN/Nx2 1-channel or 1xN/Nx1 2-channel, or  ``vector<Point2f>`` .
+    :param imagePoints: Output array of image points, 2xN/Nx2 1-channel or 1xN/Nx1 2-channel, or  ``vector<Point2f>``.
 
     :param jacobian: Optional output 2Nx15 jacobian matrix of derivatives of image points with respect to components of the focal lengths, coordinates of the principal point, distortion coefficients, rotation vector, translation vector, and the skew. In the old interface different components of the jacobian are returned via different output parameters.
 
-The function computes projections of 3D
-points to the image plane given intrinsic and extrinsic camera
-parameters. Optionally, the function computes Jacobians - matrices
-of partial derivatives of image points coordinates (as functions of all the
-input parameters) with respect to the particular parameters, intrinsic and/or
-extrinsic.
+The function computes projections of 3D points to the image plane given intrinsic and extrinsic camera parameters. Optionally, the function computes Jacobians - matrices of partial derivatives of image points coordinates (as functions of all the input parameters) with respect to the particular parameters, intrinsic and/or extrinsic.
 
 Fisheye::distortPoints
 -------------------------
 Distorts 2D points using fisheye model.
 
 .. ocv:function:: void Fisheye::distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0)
-   
+
     :param undistorted: Array of object points, 1xN/Nx1 2-channel  (or  ``vector<Point2f>`` ), where N is the number of points in the view.
 
     :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
@@ -1642,8 +1640,7 @@ Fisheye::undistortPoints
 -----------------------------
 Undistorts 2D points using fisheye model
 
-.. ocv:function:: void Fisheye::undistortPoints(InputArray distorted, OutputArray undistorted,
-        InputArray K, InputArray D, InputArray R = noArray(), InputArray P  = noArray())
+.. ocv:function:: void Fisheye::undistortPoints(InputArray distorted, OutputArray undistorted, InputArray K, InputArray D, InputArray R = noArray(), InputArray P  = noArray())
 
     :param distorted: Array of object points, 1xN/Nx1 2-channel  (or  ``vector<Point2f>`` ), where N is the number of points in the view.
 
@@ -1651,25 +1648,24 @@ Undistorts 2D points using fisheye model
 
     :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
 
-    :param R: Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3 1-channel or 1x1 3-channel 
+    :param R: Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3 1-channel or 1x1 3-channel
 
     :param P: New camera matrix (3x3) or new projection matrix (3x4)
 
-    :param undistorted: Output array of image points, 1xN/Nx1 2-channel, or  ``vector<Point2f>`` .
+    :param undistorted: Output array of image points, 1xN/Nx1 2-channel, or ``vector<Point2f>`` .
 
 
 Fisheye::initUndistortRectifyMap
 -------------------------------------
 Computes undistortion and rectification maps for image transform by cv::remap(). If D is empty zero distortion is used, if R or P is empty identity matrixes are used.
 
-.. ocv:function:: void Fisheye::initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
-        const cv::Size& size, int m1type, OutputArray map1, OutputArray map2)
+.. ocv:function:: void Fisheye::initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P, const cv::Size& size, int m1type, OutputArray map1, OutputArray map2)
 
     :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
 
     :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
 
-    :param R: Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3 1-channel or 1x1 3-channel 
+    :param R: Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3 1-channel or 1x1 3-channel
 
     :param P: New camera matrix (3x3) or new projection matrix (3x4)
 
@@ -1682,11 +1678,10 @@ Computes undistortion and rectification maps for image transform by cv::remap().
     :param map2: The second output map.
 
 Fisheye::undistortImage
--------------
+-----------------------
 Transforms an image to compensate for fisheye lens distortion.
 
-.. ocv:function:: void Fisheye::undistortImage(InputArray distorted, OutputArray undistorted,
-            InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size())
+.. ocv:function:: void Fisheye::undistortImage(InputArray distorted, OutputArray undistorted, InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size())
 
     :param distorted: image with fisheye lens distortion.
 
@@ -1706,7 +1701,7 @@ The function is simply a combination of
 
 See below the results of undistortImage.
     * a\) result of :ocv:func:`undistort` of perspective camera model (all possible coefficients (k_1, k_2, k_3, k_4, k_5, k_6) of distortion were optimized under calibration)
-    * b\) result of :ocv:func:`Fisheye::undistrortImage` of fisheye camera model (all possible coefficients (k_1, k_2, k_3, k_4) of fisheye distortion were optimized under calibration)
+    * b\) result of :ocv:func:`Fisheye::undistortImage` of fisheye camera model (all possible coefficients (k_1, k_2, k_3, k_4) of fisheye distortion were optimized under calibration)
     * c\) original image was captured with fisheye lens
 
 Pictures a) and b) almost the same. But if we consider points of image located far from the center of image, we can notice that on image a) these points are distorted.
@@ -1718,14 +1713,13 @@ Fisheye::estimateNewCameraMatrixForUndistortRectify
 ----------------------------------------------------------
 Estimates new camera matrix for undistortion or rectification.
 
-.. ocv:function:: void Fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
-        OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0);
+.. ocv:function:: void Fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R, OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0)
 
     :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
 
     :param D: Input vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
 
-    :param R: Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3 1-channel or 1x1 3-channel 
+    :param R: Rectification transformation in the object space: 3x3 1-channel, or vector: 3x1/1x3 1-channel or 1x1 3-channel
 
     :param P: New camera matrix (3x3) or new projection matrix (3x4)
 
@@ -1737,9 +1731,7 @@ Fisheye::stereoRectify
 ------------------------------
 Stereo rectification for fisheye camera model
 
-.. ocv:function:: void Fisheye::stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
-        OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(),
-        double balance = 0.0, double fov_scale = 1.0)
+.. ocv:function:: void Fisheye::stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(), double balance = 0.0, double fov_scale = 1.0)
 
     :param K1: First camera matrix.
 
@@ -1785,9 +1777,7 @@ Fisheye::calibrate
 ----------------------------
 Performs camera calibaration
 
-.. ocv:function:: double Fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
-        InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,
-            TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
+.. ocv:function:: double Fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size, InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
 
     :param objectPoints: vector of vectors of calibration pattern points in the calibration pattern coordinate space.
 
@@ -1820,9 +1810,9 @@ Performs camera calibaration
 
 Fisheye::stereoCalibrate
 ----------------------------
-Performs stereo calibration calibaration
+Performs stereo calibration
 
-.. ocv:function:: double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize, OutputArray R, OutputArray T, int flags = CALIB_FIX_INTRINSIC, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
+.. ocv:function:: double Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize, OutputArray R, OutputArray T, int flags = CALIB_FIX_INTRINSIC, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
 
     :param objectPoints: Vector of vectors of the calibration pattern points.
 
diff --git a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
index 67cf56890f..0b048fe8a5 100644
--- a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
@@ -745,7 +745,7 @@ CV_EXPORTS_W  int estimateAffine3D(InputArray src, InputArray dst,
                                    OutputArray out, OutputArray inliers,
                                    double ransacThreshold=3, double confidence=0.99);
 
-class Fisheye
+class CV_EXPORTS Fisheye
 {
 public:
 
diff --git a/modules/calib3d/src/fisheye.cpp b/modules/calib3d/src/fisheye.cpp
index 50dd045281..da7a8394f0 100644
--- a/modules/calib3d/src/fisheye.cpp
+++ b/modules/calib3d/src/fisheye.cpp
@@ -1,8 +1,4 @@
-#include "opencv2/opencv.hpp"
-#include "opencv2/core/affine.hpp"
-#include "opencv2/core/affine.hpp"
 #include "fisheye.hpp"
-#include "iomanip"
 
 namespace cv { namespace
 {
@@ -46,6 +42,7 @@ void cv::Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints
     cv::Vec2d f, c;
     if (_K.depth() == CV_32F)
     {
+
         Matx33f K = _K.getMat();
         f = Vec2f(K(0, 0), K(1, 1));
         c = Vec2f(K(0, 2), K(1, 2));
@@ -786,8 +783,8 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
     const double thresh_cond = 1e6;
     const int check_cond = 1;
 
-    size_t n_points = objectPoints.getMat(0).total();
-    size_t n_images = objectPoints.total();
+    int n_points = (int)objectPoints.getMat(0).total();
+    int n_images = (int)objectPoints.total();
 
     double change = 1;
 
@@ -856,7 +853,7 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
     //Init values for rotation and translation between two views
     cv::Mat om_list(1, n_images, CV_64FC3), T_list(1, n_images, CV_64FC3);
     cv::Mat om_ref, R_ref, T_ref, R1, R2;
-    for (size_t image_idx = 0; image_idx < n_images; ++image_idx)
+    for (int image_idx = 0; image_idx < n_images; ++image_idx)
     {
         cv::Rodrigues(rvecs1[image_idx], R1);
         cv::Rodrigues(rvecs2[image_idx], R2);
@@ -887,7 +884,7 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
 
         cv::Mat omr, Tr, domrdomckk, domrdTckk, domrdom, domrdT, dTrdomckk, dTrdTckk, dTrdom, dTrdT;
 
-        for (size_t image_idx = 0; image_idx < n_images; ++image_idx)
+        for (int image_idx = 0; image_idx < n_images; ++image_idx)
         {
             Jkk = cv::Mat::zeros(4 * n_points, 18 + 6 * (n_images + 1), CV_64FC1);
 
@@ -931,22 +928,18 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
 
             //check goodness of sterepair
             double abs_max  = 0;
-            for (size_t i = 0; i < 4 * n_points; i++)
+            for (int i = 0; i < 4 * n_points; i++)
             {
                 if (fabs(ekk.at<double>(i)) > abs_max)
                 {
                     abs_max = fabs(ekk.at<double>(i));
                 }
             }
-            if (abs_max < threshold)
-            {
-                Jkk.copyTo(J.rowRange(image_idx * 4 * n_points, (image_idx + 1) * 4 * n_points));
-                ekk.copyTo(e.rowRange(image_idx * 4 * n_points, (image_idx + 1) * 4 * n_points));
-            }
-            else
-            {
-                CV_Assert(!"Bad stereo pair");
-            }
+
+            CV_Assert(abs_max < threshold); // bad stereo pair
+
+            Jkk.copyTo(J.rowRange(image_idx * 4 * n_points, (image_idx + 1) * 4 * n_points));
+            ekk.copyTo(e.rowRange(image_idx * 4 * n_points, (image_idx + 1) * 4 * n_points));
         }
 
         cv::Vec6d oldTom(Tcur[0], Tcur[1], Tcur[2], omcur[0], omcur[1], omcur[2]);
@@ -962,7 +955,7 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
         intrinsicRight = intrinsicRight + deltas.rowRange(a, a + b);
         omcur = omcur + cv::Vec3d(deltas.rowRange(a + b, a + b + 3));
         Tcur = Tcur + cv::Vec3d(deltas.rowRange(a + b + 3, a + b + 6));
-        for (size_t image_idx = 0; image_idx < n_images; ++image_idx)
+        for (int image_idx = 0; image_idx < n_images; ++image_idx)
         {
             rvecs1[image_idx] = cv::Mat(cv::Mat(rvecs1[image_idx]) + deltas.rowRange(a + b + 6 + image_idx * 6, a + b + 9 + image_idx * 6));
             tvecs1[image_idx] = cv::Mat(cv::Mat(tvecs1[image_idx]) + deltas.rowRange(a + b + 9 + image_idx * 6, a + b + 12 + image_idx * 6));
@@ -979,7 +972,7 @@ double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayO
         rms += ptr_e[i][0] * ptr_e[i][0] + ptr_e[i][1] * ptr_e[i][1];
     }
 
-    rms /= (e.total() / 2);
+    rms /= ((double)e.total() / 2.0);
     rms = sqrt(rms);
 
     _K1 = Matx33d(intrinsicLeft.f[0], intrinsicLeft.f[0] * intrinsicLeft.alpha, intrinsicLeft.c[0],
@@ -1011,7 +1004,7 @@ void subMatrix(const Mat& src, Mat& dst, const vector<int>& cols, const vector<i
     int nonzeros_cols = cv::countNonZero(cols);
     Mat tmp(src.rows, nonzeros_cols, CV_64FC1);
 
-    for (size_t i = 0, j = 0; i < cols.size(); i++)
+    for (int i = 0, j = 0; i < (int)cols.size(); i++)
     {
         if (cols[i])
         {
@@ -1021,7 +1014,7 @@ void subMatrix(const Mat& src, Mat& dst, const vector<int>& cols, const vector<i
 
     int nonzeros_rows  = cv::countNonZero(rows);
     Mat tmp1(nonzeros_rows, nonzeros_cols, CV_64FC1);
-    for (size_t i = 0, j = 0; i < rows.size(); i++)
+    for (int i = 0, j = 0; i < (int)rows.size(); i++)
     {
         if (rows[i])
         {
@@ -1328,10 +1321,7 @@ void cv::internal::CalibrateExtrinsics(InputArrayOfArrays objectPoints, InputArr
         if (check_cond)
         {
             SVD svd(JJ_kk, SVD::NO_UV);
-            if (svd.w.at<double>(0) / svd.w.at<double>((int)svd.w.total() - 1) > thresh_cond)
-            {
-                CV_Assert(!"cond > thresh_cond");
-            }
+            CV_Assert(svd.w.at<double>(0) / svd.w.at<double>((int)svd.w.total() - 1) < thresh_cond);
         }
         omckk.reshape(3,1).copyTo(omc.getMat().col(image_idx));
         Tckk.reshape(3,1).copyTo(Tc.getMat().col(image_idx));
@@ -1392,11 +1382,7 @@ void cv::internal::ComputeJacobians(InputArrayOfArrays objectPoints, InputArrayO
         {
             Mat JJ_kk = B.t();
             SVD svd(JJ_kk, SVD::NO_UV);
-            double cond = svd.w.at<double>(0) / svd.w.at<double>(svd.w.rows - 1);
-            if (cond  > thresh_cond)
-            {
-                CV_Assert(!"cond  > thresh_cond");
-            }
+            CV_Assert(svd.w.at<double>(0) / svd.w.at<double>(svd.w.rows - 1) < thresh_cond);
         }
     }
 
@@ -1420,7 +1406,7 @@ void cv::internal::EstimateUncertainties(InputArrayOfArrays objectPoints, InputA
 
     Mat ex((int)(objectPoints.getMat(0).total() * objectPoints.total()), 1, CV_64FC2);
 
-    for (size_t image_idx = 0; image_idx < objectPoints.total(); ++image_idx)
+    for (int image_idx = 0; image_idx < (int)objectPoints.total(); ++image_idx)
     {
         Mat image, object;
         objectPoints.getMat(image_idx).convertTo(object, CV_64FC3);
@@ -1435,11 +1421,11 @@ void cv::internal::EstimateUncertainties(InputArrayOfArrays objectPoints, InputA
     }
 
     meanStdDev(ex, noArray(), std_err);
-    std_err *= sqrt(ex.total()/(ex.total() - 1.0));
+    std_err *= sqrt((double)ex.total()/((double)ex.total() - 1.0));
 
     Mat sigma_x;
     meanStdDev(ex.reshape(1, 1), noArray(), sigma_x);
-    sigma_x  *= sqrt(2 * ex.total()/(2 * ex.total() - 1.0));
+    sigma_x  *= sqrt(2.0 * (double)ex.total()/(2.0 * (double)ex.total() - 1.0));
 
     Mat _JJ2_inv, ex3;
     ComputeJacobians(objectPoints, imagePoints, params, omc, Tc, check_cond, thresh_cond, _JJ2_inv, ex3);
@@ -1459,7 +1445,7 @@ void cv::internal::EstimateUncertainties(InputArrayOfArrays objectPoints, InputA
         rms += ptr_ex[i][0] * ptr_ex[i][0] + ptr_ex[i][1] * ptr_ex[i][1];
     }
 
-    rms /= ex.total();
+    rms /= (double)ex.total();
     rms = sqrt(rms);
 }
 
@@ -1468,9 +1454,9 @@ void cv::internal::dAB(InputArray A, InputArray B, OutputArray dABdA, OutputArra
     CV_Assert(A.getMat().cols == B.getMat().rows);
     CV_Assert(A.type() == CV_64FC1 && B.type() == CV_64FC1);
 
-    size_t p = A.getMat().rows;
-    size_t n = A.getMat().cols;
-    size_t q = B.getMat().cols;
+    int p = A.getMat().rows;
+    int n = A.getMat().cols;
+    int q = B.getMat().cols;
 
     dABdA.create(p * q, p * n, CV_64FC1);
     dABdB.create(p * q, q * n, CV_64FC1);
@@ -1478,20 +1464,20 @@ void cv::internal::dAB(InputArray A, InputArray B, OutputArray dABdA, OutputArra
     dABdA.getMat() = Mat::zeros(p * q, p * n, CV_64FC1);
     dABdB.getMat() = Mat::zeros(p * q, q * n, CV_64FC1);
 
-    for (size_t i = 0; i < q; ++i)
+    for (int i = 0; i < q; ++i)
     {
-        for (size_t j = 0; j < p; ++j)
+        for (int j = 0; j < p; ++j)
         {
-            size_t ij = j + i * p;
-            for (size_t k = 0; k < n; ++k)
+            int ij = j + i * p;
+            for (int k = 0; k < n; ++k)
             {
-                size_t kj = j + k * p;
+                int kj = j + k * p;
                 dABdA.getMat().at<double>(ij, kj) = B.getMat().at<double>(k, i);
             }
         }
     }
 
-    for (size_t i = 0; i < q; ++i)
+    for (int i = 0; i < q; ++i)
     {
         A.getMat().copyTo(dABdB.getMat().rowRange(i * p, i * p + p).colRange(i * n, i * n + n));
     }
@@ -1571,8 +1557,8 @@ double cv::internal::median(const Mat& row)
     CV_Assert(!row.empty() && row.rows == 1);
     Mat tmp = row.clone();
     sort(tmp, tmp, 0);
-    if (tmp.total() % 2) return tmp.at<double>(tmp.total() / 2);
-    else return 0.5 *(tmp.at<double>(tmp.total() / 2) + tmp.at<double>(tmp.total() / 2 - 1));
+    if ((int)tmp.total() % 2) return tmp.at<double>((int)tmp.total() / 2);
+    else return 0.5 *(tmp.at<double>((int)tmp.total() / 2) + tmp.at<double>((int)tmp.total() / 2 - 1));
 }
 
 cv::Vec3d cv::internal::median3d(InputArray m)
diff --git a/modules/calib3d/src/fisheye.hpp b/modules/calib3d/src/fisheye.hpp
index fa4bfdb388..82c9f34598 100644
--- a/modules/calib3d/src/fisheye.hpp
+++ b/modules/calib3d/src/fisheye.hpp
@@ -1,9 +1,10 @@
 #ifndef FISHEYE_INTERNAL_H
 #define FISHEYE_INTERNAL_H
+#include "precomp.hpp"
 
 namespace cv { namespace internal {
 
-struct IntrinsicParams
+struct CV_EXPORTS IntrinsicParams
 {
     Vec2d f;
     Vec2d c;
@@ -25,9 +26,9 @@ void projectPoints(cv::InputArray objectPoints, cv::OutputArray imagePoints,
 void ComputeExtrinsicRefine(const Mat& imagePoints, const Mat& objectPoints, Mat& rvec,
                             Mat&  tvec, Mat& J, const int MaxIter,
                             const IntrinsicParams& param, const double thresh_cond);
-Mat ComputeHomography(Mat m, Mat M);
+CV_EXPORTS Mat ComputeHomography(Mat m, Mat M);
 
-Mat NormalizePixels(const Mat& imagePoints, const IntrinsicParams& param);
+CV_EXPORTS Mat NormalizePixels(const Mat& imagePoints, const IntrinsicParams& param);
 
 void InitExtrinsics(const Mat& _imagePoints, const Mat& _objectPoints, const IntrinsicParams& param, Mat& omckk, Mat& Tckk);
 
@@ -39,7 +40,7 @@ void ComputeJacobians(InputArrayOfArrays objectPoints, InputArrayOfArrays imageP
                       const IntrinsicParams& param,  InputArray omc, InputArray Tc,
                       const int& check_cond, const double& thresh_cond, Mat& JJ2_inv, Mat& ex3);
 
-void EstimateUncertainties(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
+CV_EXPORTS void  EstimateUncertainties(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints,
                            const IntrinsicParams& params, InputArray omc, InputArray Tc,
                            IntrinsicParams& errors, Vec2d& std_err, double thresh_cond, int check_cond, double& rms);
 
diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index dfdba98fcf..7457a94127 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -1,5 +1,4 @@
 #include "test_precomp.hpp"
-#include <fstream>
 #include <opencv2/ts/gpu_test.hpp>
 #include "../src/fisheye.hpp"
 

From fa292c3d8d8c57836e9d7d279a70ff126320259e Mon Sep 17 00:00:00 2001
From: Kazuki Matsuda <matsuda.kazuki@facebook.com>
Date: Mon, 6 Jan 2014 01:42:45 +0900
Subject: [PATCH 18/92] Implimentation "cv::Mat::forEach"

I propose forEach method for cv::Mat and cv::Mat_.
This is solution for the overhead of MatIterator_<_Tp>.

I runs a test that micro opecode runs all over the pixel of cv::Mat_<cv::Point3_<uint8_t>>.
And this implementation 40% faster than the simple pointer, 80% faster than iterator.
With OpenMP, 70% faster than simple pointer, 95% faster than iterator (Core i7 920).

Above all, code is more readable.

My test code is here.
    https://gist.github.com/kazuki-ma/8285876

Thanks.
---
 modules/core/doc/basic_structures.rst         | 63 ++++++++++++
 modules/core/include/opencv2/core/mat.hpp     | 11 +++
 modules/core/include/opencv2/core/mat.inl.hpp | 20 ++++
 modules/core/include/opencv2/core/utility.hpp | 96 +++++++++++++++++++
 modules/core/test/test_mat.cpp                | 49 ++++++++++
 5 files changed, 239 insertions(+)

diff --git a/modules/core/doc/basic_structures.rst b/modules/core/doc/basic_structures.rst
index 459a6a9c98..80f75f1f45 100644
--- a/modules/core/doc/basic_structures.rst
+++ b/modules/core/doc/basic_structures.rst
@@ -2326,6 +2326,69 @@ Returns the matrix iterator and sets it to the after-last matrix element.
 
 The methods return the matrix read-only or read-write iterators, set to the point following the last matrix element.
 
+
+Mat::forEach
+------------
+Invoke with arguments functor, and runs the functor over all matrix element.
+
+.. ocv:function:: template<typename _Tp, typename Functor> void Mat::forEach(Functor operation)
+
+.. ocv:function:: template<typename _Tp, typename Functor> void Mat::forEach(Functor operation) const
+
+The methos runs operation in parallel. Operation is passed by arguments. Operation have to be a function pointer, a function object or a lambda(C++11).
+
+All of below operation is equal. Put 0xFF to first channel of all matrix elements. ::
+
+    Mat image(1920, 1080, CV_8UC3);
+    typedef cv::Point3_<uint8_t> Pixel;
+
+    // first. raw pointer access.
+    for (int r = 0; r < image.rows; ++r) {
+        Pixel* ptr = image.ptr<Pixel>(0, r);
+        const Pixel* ptr_end = ptr + image.cols;
+        for (; ptr != ptr_end; ++ptr) {
+            ptr->x = 255;
+        }
+    }
+
+
+    // Using MatIterator. (Simple but there are a Iterator's overhead)
+    for (Pixel &p : cv::Mat_<Pixel>(image)) {
+        p.x = 255;
+    }
+
+
+    // Parallel execution with function object.
+    struct Operator {
+        void operator ()(Pixel &pixel, const int * position) {
+            pixel.x = 255;
+        }
+    };
+    image.forEach<Pixel>(Operator());
+
+
+    // Parallel execution using C++11 lambda.
+    image.forEach<Pixel>([](Pixel &p, const int * position) -> void {
+        p.x = 255;
+    });
+
+position parameter is index of current pixel. ::
+
+    // Creating 3D matrix (255 x 255 x 255) typed uint8_t,
+    //  and initialize all elements by the value which equals elements position.
+    //  i.e. pixels (x,y,z) = (1,2,3) is (b,g,r) = (1,2,3).
+
+    int sizes[] = { 255, 255, 255 };
+    typedef cv::Point3_<uint8_t> Pixel;
+
+    Mat_<Pixel> image = Mat::zeros(3, sizes, CV_8UC3);
+
+    image.forEachWithPosition([&](Pixel& pixel, const int position[]) -> void{
+        pixel.x = position[0];
+        pixel.y = position[1];
+        pixel.z = position[2];
+    });
+
 Mat\_
 -----
 .. ocv:class:: Mat_
diff --git a/modules/core/include/opencv2/core/mat.hpp b/modules/core/include/opencv2/core/mat.hpp
index d921f75651..4da7d158c0 100644
--- a/modules/core/include/opencv2/core/mat.hpp
+++ b/modules/core/include/opencv2/core/mat.hpp
@@ -897,6 +897,11 @@ public:
     template<typename _Tp> MatConstIterator_<_Tp> begin() const;
     template<typename _Tp> MatConstIterator_<_Tp> end() const;
 
+    //! template methods for for operation over all matrix elements.
+    // the operations take care of skipping gaps in the end of rows (if any)
+    template<typename _Tp, typename Functor> void forEach(const Functor& operation);
+    template<typename _Tp, typename Functor> void forEach(const Functor& operation) const;
+
     enum { MAGIC_VAL  = 0x42FF0000, AUTO_STEP = 0, CONTINUOUS_FLAG = CV_MAT_CONT_FLAG, SUBMATRIX_FLAG = CV_SUBMAT_FLAG };
     enum { MAGIC_MASK = 0xFFFF0000, TYPE_MASK = 0x00000FFF, DEPTH_MASK = 7 };
 
@@ -931,6 +936,7 @@ public:
     MatStep step;
 
 protected:
+    template<typename _Tp, typename Functor> void forEach_impl(const Functor& operation);
 };
 
 
@@ -1040,6 +1046,11 @@ public:
     const_iterator begin() const;
     const_iterator end() const;
 
+    //! template methods for for operation over all matrix elements.
+    // the operations take care of skipping gaps in the end of rows (if any)
+    template<typename Functor> void forEach(const Functor& operation);
+    template<typename Functor> void forEach(const Functor& operation) const;
+
     //! equivalent to Mat::create(_rows, _cols, DataType<_Tp>::type)
     void create(int _rows, int _cols);
     //! equivalent to Mat::create(_size, DataType<_Tp>::type)
diff --git a/modules/core/include/opencv2/core/mat.inl.hpp b/modules/core/include/opencv2/core/mat.inl.hpp
index d463eec671..be9ad02d5e 100644
--- a/modules/core/include/opencv2/core/mat.inl.hpp
+++ b/modules/core/include/opencv2/core/mat.inl.hpp
@@ -999,6 +999,17 @@ MatIterator_<_Tp> Mat::end()
     return it;
 }
 
+template<typename _Tp, typename Functor> inline
+void Mat::forEach(const Functor& operation) {
+    this->forEach_impl<_Tp>(operation);
+};
+
+template<typename _Tp, typename Functor> inline
+void Mat::forEach(const Functor& operation) const {
+    // call as not const
+    (const_cast<Mat*>(this))->forEach<const _Tp>(operation);
+};
+
 template<typename _Tp> inline
 Mat::operator std::vector<_Tp>() const
 {
@@ -1584,6 +1595,15 @@ MatIterator_<_Tp> Mat_<_Tp>::end()
     return Mat::end<_Tp>();
 }
 
+template<typename _Tp> template<typename Functor> inline
+void Mat_<_Tp>::forEach(const Functor& operation) {
+    Mat::forEach<_Tp, Functor>(operation);
+}
+
+template<typename _Tp> template<typename Functor> inline
+void Mat_<_Tp>::forEach(const Functor& operation) const {
+    Mat::forEach<_Tp, Functor>(operation);
+}
 
 ///////////////////////////// SparseMat /////////////////////////////
 
diff --git a/modules/core/include/opencv2/core/utility.hpp b/modules/core/include/opencv2/core/utility.hpp
index 3e844ccf4f..b0552c6474 100644
--- a/modules/core/include/opencv2/core/utility.hpp
+++ b/modules/core/include/opencv2/core/utility.hpp
@@ -274,6 +274,102 @@ public:
 
 CV_EXPORTS void parallel_for_(const Range& range, const ParallelLoopBody& body, double nstripes=-1.);
 
+/////////////////////////////// forEach method of cv::Mat ////////////////////////////
+template<typename _Tp, typename Functor> inline
+void Mat::forEach_impl(const Functor& operation) {
+    if (false) {
+        operation(*reinterpret_cast<_Tp*>(0), reinterpret_cast<int*>(NULL));
+        // If your compiler fail in this line.
+        // Please check that your functor signature is
+        //     (_Tp&, const int*)   <- multidimential
+        //  or (_Tp&, void*)        <- in case of you don't need current idx.
+    }
+
+    CV_Assert(this->total() / this->size[this->dims - 1] <= INT_MAX);
+    const int LINES = static_cast<int>(this->total() / this->size[this->dims - 1]);
+
+    class PixelOperationWrapper :public ParallelLoopBody
+    {
+    public:
+        PixelOperationWrapper(Mat_<_Tp>* const frame, const Functor& _operation)
+            : mat(frame), op(_operation) {};
+        virtual ~PixelOperationWrapper(){};
+        // ! Overloaded virtual operator
+        // convert range call to row call.
+        virtual void operator()(const Range &range) const {
+            const int DIMS = mat->dims;
+            const int COLS = mat->size[DIMS - 1];
+            if (DIMS <= 2) {
+                for (int row = range.start; row < range.end; ++row) {
+                    this->rowCall2(row, COLS);
+                }
+            } else {
+                std::vector<int> idx(COLS); /// idx is modified in this->rowCall
+                idx[DIMS - 2] = range.start - 1;
+
+                for (int line_num = range.start; line_num < range.end; ++line_num) {
+                    idx[DIMS - 2]++;
+                    for (int i = DIMS - 2; i >= 0; --i) {
+                        if (idx[i] >= mat->size[i]) {
+                            idx[i - 1] += idx[i] / mat->size[i];
+                            idx[i] %= mat->size[i];
+                            continue; // carry-over;
+                        }
+                        else {
+                            break;
+                        }
+                    }
+                    this->rowCall(&idx[0], COLS, DIMS);
+                }
+            }
+        };
+    private:
+        Mat_<_Tp>* const mat;
+        const Functor op;
+        // ! Call operator for each elements in this row.
+        inline void rowCall(int* const idx, const int COLS, const int DIMS) const {
+            int &col = idx[DIMS - 1];
+            col = 0;
+            _Tp* pixel = &(mat->template at<_Tp>(idx));
+
+            while (col < COLS) {
+                op(*pixel, const_cast<const int*>(idx));
+                pixel++; col++;
+            }
+            col = 0;
+        }
+        // ! Call operator for each elements in this row. 2d mat special version.
+        inline void rowCall2(const int row, const int COLS) const {
+            union Index{
+                int body[2];
+                operator const int*() const {
+                    return reinterpret_cast<const int*>(this);
+                }
+                int& operator[](const int i) {
+                    return body[i];
+                }
+            } idx = {{row, 0}};
+            // Special union is needed to avoid
+            // "error: array subscript is above array bounds [-Werror=array-bounds]"
+            // when call the functor `op` such that access idx[3].
+
+            _Tp* pixel = &(mat->template at<_Tp>(idx));
+            const _Tp* const pixel_end = pixel + COLS;
+            while(pixel < pixel_end) {
+                op(*pixel++, static_cast<const int*>(idx));
+                idx[1]++;
+            }
+        };
+        PixelOperationWrapper& operator=(const PixelOperationWrapper &) {
+            CV_Assert(false);
+            // We can not remove this implementation because Visual Studio warning C4822.
+            return *this;
+        };
+    };
+
+    parallel_for_(cv::Range(0, LINES), PixelOperationWrapper(reinterpret_cast<Mat_<_Tp>*>(this), operation));
+};
+
 /////////////////////////// Synchronization Primitives ///////////////////////////////
 
 class CV_EXPORTS Mutex
diff --git a/modules/core/test/test_mat.cpp b/modules/core/test/test_mat.cpp
index ac27bd7b53..18a93cd2b1 100644
--- a/modules/core/test/test_mat.cpp
+++ b/modules/core/test/test_mat.cpp
@@ -649,6 +649,16 @@ static void setValue(SparseMat& M, const int* idx, double value, RNG& rng)
         CV_Error(CV_StsUnsupportedFormat, "");
 }
 
+template<typename Pixel>
+struct InitializerFunctor{
+    /// Initializer for cv::Mat::forEach test
+    void operator()(Pixel & pixel, const int * idx) const {
+        pixel.x = idx[0];
+        pixel.y = idx[1];
+        pixel.z = idx[2];
+    }
+};
+
 void Core_ArrayOpTest::run( int /* start_from */)
 {
     int errcount = 0;
@@ -686,6 +696,45 @@ void Core_ArrayOpTest::run( int /* start_from */)
             errcount++;
         }
     }
+    // test cv::Mat::forEach
+    {
+        const int dims[3] = { 101, 107, 7 };
+        typedef cv::Point3i Pixel;
+
+        cv::Mat a = cv::Mat::zeros(3, dims, CV_32SC3);
+        InitializerFunctor<Pixel> initializer;
+
+        a.forEach<Pixel>(initializer);
+
+        uint64 total = 0;
+        bool error_reported = false;
+        for (int i0 = 0; i0 < dims[0]; ++i0) {
+            for (int i1 = 0; i1 < dims[1]; ++i1) {
+                for (int i2 = 0; i2 < dims[2]; ++i2) {
+                    Pixel& pixel = a.at<Pixel>(i0, i1, i2);
+                    if (pixel.x != i0 || pixel.y != i1 || pixel.z != i2) {
+                        if (!error_reported) {
+                            ts->printf(cvtest::TS::LOG, "forEach is not correct.\n"
+                                "First error detected at (%d, %d, %d).\n", pixel.x, pixel.y, pixel.z);
+                            error_reported = true;
+                        }
+                        errcount++;
+                    }
+                    total += pixel.x;
+                    total += pixel.y;
+                    total += pixel.z;
+                }
+            }
+        }
+        uint64 total2 = 0;
+        for (size_t i = 0; i < sizeof(dims) / sizeof(dims[0]); ++i) {
+            total2 += ((dims[i] - 1) * dims[i] / 2) * dims[0] * dims[1] * dims[2] / dims[i];
+        }
+        if (total != total2) {
+            ts->printf(cvtest::TS::LOG, "forEach is not correct because total is invalid.\n");
+            errcount++;
+        }
+    }
 
     RNG rng;
     const int MAX_DIM = 5, MAX_DIM_SZ = 10;

From a46f119fdf1f0dc05608e2e6d8a120325650c13c Mon Sep 17 00:00:00 2001
From: Konstantin Matskevich <konstantin.matskevich@itseez.com>
Date: Mon, 19 May 2014 09:54:15 +0400
Subject: [PATCH 19/92] docs fixes

---
 modules/contrib/doc/facerec/facerec_api.rst | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/modules/contrib/doc/facerec/facerec_api.rst b/modules/contrib/doc/facerec/facerec_api.rst
index 8de4359c52..4c91bb7cb9 100644
--- a/modules/contrib/doc/facerec/facerec_api.rst
+++ b/modules/contrib/doc/facerec/facerec_api.rst
@@ -310,7 +310,7 @@ FaceRecognizer::setLabelsInfo
 Sets string information about labels into the model.
 .. ocv:function:: void FaceRecognizer::setLabelsInfo(const std::map<int, string>& labelsInfo) = 0
 
-Information about the label loads as a pair label-its info.
+Information about the label loads as a pair "label id - string info".
 
 FaceRecognizer::getLabelInfo
 ----------------------------
@@ -318,7 +318,7 @@ FaceRecognizer::getLabelInfo
 Gets string information by label.
 .. ocv:function:: string FaceRecognizer::getLabelInfo(int label) const = 0
 
-If there is no such label in the model or there is no information about the label it will return an empty string.
+If an unknown label id is provided or there is no label information assosiated with the specified label id the method returns an empty string.
 
 FaceRecognizer::getLabelsByString
 ---------------------------------
@@ -326,7 +326,7 @@ Gets vector of labels by string.
 
 .. ocv:function:: vector<int> FaceRecognizer::getLabelsByString(const string& str) = 0
 
-If the string contained in a string information for a label, this label will be pushed into the vector.
+The function searches for the labels containing the specified substring in the associated string info.
 
 createEigenFaceRecognizer
 -------------------------

From 651b13f72a786ee26fe6c12ee6a305fc0f6b7d71 Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Mon, 19 May 2014 17:55:32 +0400
Subject: [PATCH 20/92] Refactored class Fisheye to namespace fisheye

---
 .../include/opencv2/calib3d/calib3d.hpp       |  26 ++---
 modules/calib3d/src/fisheye.cpp               |  46 ++++----
 modules/calib3d/test/test_fisheye.cpp         | 110 +++++++++---------
 3 files changed, 90 insertions(+), 92 deletions(-)

diff --git a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
index 0b048fe8a5..5e9cde8ec0 100644
--- a/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
+++ b/modules/calib3d/include/opencv2/calib3d/calib3d.hpp
@@ -745,10 +745,8 @@ CV_EXPORTS_W  int estimateAffine3D(InputArray src, InputArray dst,
                                    OutputArray out, OutputArray inliers,
                                    double ransacThreshold=3, double confidence=0.99);
 
-class CV_EXPORTS Fisheye
+namespace fisheye
 {
-public:
-
     enum{
         CALIB_USE_INTRINSIC_GUESS   = 1,
         CALIB_RECOMPUTE_EXTRINSIC   = 2,
@@ -762,50 +760,50 @@ public:
     };
 
     //! projects 3D points using fisheye model
-    static void projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
+    CV_EXPORTS void projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
         InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray());
 
     //! projects points using fisheye model
-    static void projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec,
+    CV_EXPORTS void projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec,
         InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray());
 
     //! distorts 2D points using fisheye model
-    static void distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0);
+    CV_EXPORTS void distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0);
 
     //! undistorts 2D points using fisheye model
-    static void undistortPoints(InputArray distorted, OutputArray undistorted,
+    CV_EXPORTS void undistortPoints(InputArray distorted, OutputArray undistorted,
         InputArray K, InputArray D, InputArray R = noArray(), InputArray P  = noArray());
 
     //! computing undistortion and rectification maps for image transform by cv::remap()
     //! If D is empty zero distortion is used, if R or P is empty identity matrixes are used
-    static void initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
+    CV_EXPORTS void initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
         const cv::Size& size, int m1type, OutputArray map1, OutputArray map2);
 
     //! undistorts image, optionally changes resolution and camera matrix. If Knew zero identity matrix is used
-    static void undistortImage(InputArray distorted, OutputArray undistorted,
+    CV_EXPORTS void undistortImage(InputArray distorted, OutputArray undistorted,
         InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size());
 
     //! estimates new camera matrix for undistortion or rectification
-    static void estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
+    CV_EXPORTS void estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
         OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0);
 
     //! performs camera calibaration
-    static double calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
+    CV_EXPORTS double calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
         InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,
             TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON));
 
     //! stereo rectification estimation
-    static void stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
+    CV_EXPORTS void stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
         OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(),
         double balance = 0.0, double fov_scale = 1.0);
 
     //! performs stereo calibaration
-    static double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
+    CV_EXPORTS double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
                                   InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize,
                                   OutputArray R, OutputArray T, int flags = CALIB_FIX_INTRINSIC,
                                   TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON));
 
-};
+}
 
 }
 
diff --git a/modules/calib3d/src/fisheye.cpp b/modules/calib3d/src/fisheye.cpp
index da7a8394f0..34d11d1fa8 100644
--- a/modules/calib3d/src/fisheye.cpp
+++ b/modules/calib3d/src/fisheye.cpp
@@ -14,15 +14,15 @@ namespace cv { namespace
 }}
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::projectPoints
+/// cv::fisheye::projectPoints
 
-void cv::Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
+void cv::fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
     InputArray K, InputArray D, double alpha, OutputArray jacobian)
 {
     projectPoints(objectPoints, imagePoints, affine.rvec(), affine.translation(), K, D, alpha, jacobian);
 }
 
-void cv::Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray _rvec,
+void cv::fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray _rvec,
         InputArray _tvec, InputArray _K, InputArray _D, double alpha, OutputArray jacobian)
 {
     // will support only 3-channel data now for points
@@ -202,9 +202,9 @@ void cv::Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints
 }
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::distortPoints
+/// cv::fisheye::distortPoints
 
-void cv::Fisheye::distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha)
+void cv::fisheye::distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha)
 {
     // will support only 2-channel data now for points
     CV_Assert(undistorted.type() == CV_32FC2 || undistorted.type() == CV_64FC2);
@@ -264,9 +264,9 @@ void cv::Fisheye::distortPoints(InputArray undistorted, OutputArray distorted, I
 }
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::undistortPoints
+/// cv::fisheye::undistortPoints
 
-void cv::Fisheye::undistortPoints( InputArray distorted, OutputArray undistorted, InputArray _K, InputArray _D, InputArray _R, InputArray _P)
+void cv::fisheye::undistortPoints( InputArray distorted, OutputArray undistorted, InputArray _K, InputArray _D, InputArray _R, InputArray _P)
 {
     // will support only 2-channel data now for points
     CV_Assert(distorted.type() == CV_32FC2 || distorted.type() == CV_64FC2);
@@ -353,9 +353,9 @@ void cv::Fisheye::undistortPoints( InputArray distorted, OutputArray undistorted
 }
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::undistortPoints
+/// cv::fisheye::undistortPoints
 
-void cv::Fisheye::initUndistortRectifyMap( InputArray _K, InputArray _D, InputArray _R, InputArray _P,
+void cv::fisheye::initUndistortRectifyMap( InputArray _K, InputArray _D, InputArray _R, InputArray _P,
     const cv::Size& size, int m1type, OutputArray map1, OutputArray map2 )
 {
     CV_Assert( m1type == CV_16SC2 || m1type == CV_32F || m1type <=0 );
@@ -449,23 +449,23 @@ void cv::Fisheye::initUndistortRectifyMap( InputArray _K, InputArray _D, InputAr
 }
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::undistortImage
+/// cv::fisheye::undistortImage
 
-void cv::Fisheye::undistortImage(InputArray distorted, OutputArray undistorted,
+void cv::fisheye::undistortImage(InputArray distorted, OutputArray undistorted,
         InputArray K, InputArray D, InputArray Knew, const Size& new_size)
 {
     Size size = new_size.area() != 0 ? new_size : distorted.size();
 
     cv::Mat map1, map2;
-    initUndistortRectifyMap(K, D, cv::Matx33d::eye(), Knew, size, CV_16SC2, map1, map2 );
+    fisheye::initUndistortRectifyMap(K, D, cv::Matx33d::eye(), Knew, size, CV_16SC2, map1, map2 );
     cv::remap(distorted, undistorted, map1, map2, INTER_LINEAR, BORDER_CONSTANT);
 }
 
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::estimateNewCameraMatrixForUndistortRectify
+/// cv::fisheye::estimateNewCameraMatrixForUndistortRectify
 
-void cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
+void cv::fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
     OutputArray P, double balance, const Size& new_size, double fov_scale)
 {
     CV_Assert( K.size() == Size(3, 3)       && (K.depth() == CV_32F || K.depth() == CV_64F));
@@ -495,7 +495,7 @@ void cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, Input
     }
 #endif
 
-    undistortPoints(points, points, K, D, R);
+    fisheye::undistortPoints(points, points, K, D, R);
     cv::Scalar center_mass = mean(points);
     cv::Vec2d cn(center_mass.val);
 
@@ -560,9 +560,9 @@ void cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, Input
 
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::stereoRectify
+/// cv::fisheye::stereoRectify
 
-void cv::Fisheye::stereoRectify( InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size& imageSize,
+void cv::fisheye::stereoRectify( InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size& imageSize,
         InputArray _R, InputArray _tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2,
         OutputArray Q, int flags, const Size& newImageSize, double balance, double fov_scale)
 {
@@ -642,9 +642,9 @@ void cv::Fisheye::stereoRectify( InputArray K1, InputArray D1, InputArray K2, In
 }
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::calibrate
+/// cv::fisheye::calibrate
 
-double cv::Fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
+double cv::fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
                                     InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs,
                                     int flags , cv::TermCriteria criteria)
 {
@@ -758,9 +758,9 @@ double cv::Fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArray
 }
 
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
-/// cv::Fisheye::stereoCalibrate
+/// cv::fisheye::stereoCalibrate
 
-double cv::Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
+double cv::fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
                                     InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize,
                                     OutputArray R, OutputArray T, int flags, TermCriteria criteria)
 {
@@ -1094,7 +1094,7 @@ void cv::internal::projectPoints(cv::InputArray objectPoints, cv::OutputArray im
     Matx33d K(param.f[0], param.f[0] * param.alpha, param.c[0],
                        0,               param.f[1], param.c[1],
                        0,                        0,         1);
-    Fisheye::projectPoints(objectPoints, imagePoints, _rvec, _tvec, K, param.k, param.alpha, jacobian);
+    fisheye::projectPoints(objectPoints, imagePoints, _rvec, _tvec, K, param.k, param.alpha, jacobian);
 }
 
 void cv::internal::ComputeExtrinsicRefine(const Mat& imagePoints, const Mat& objectPoints, Mat& rvec,
@@ -1251,7 +1251,7 @@ cv::Mat cv::internal::NormalizePixels(const Mat& imagePoints, const IntrinsicPar
         ptr_d[i] = (ptr[i] - param.c).mul(Vec2d(1.0 / param.f[0], 1.0 / param.f[1]));
         ptr_d[i][0] = ptr_d[i][0] - param.alpha * ptr_d[i][1];
     }
-    cv::Fisheye::undistortPoints(distorted, undistorted, Matx33d::eye(), param.k);
+    cv::fisheye::undistortPoints(distorted, undistorted, Matx33d::eye(), param.k);
     return undistorted;
 }
 
diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index 7457a94127..ed53ec415e 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -2,7 +2,7 @@
 #include <opencv2/ts/gpu_test.hpp>
 #include "../src/fisheye.hpp"
 
-class FisheyeTest : public ::testing::Test {
+class fisheyeTest : public ::testing::Test {
 
 protected:
     const static cv::Size imageSize;
@@ -26,7 +26,7 @@ protected:
 ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
 ///  TESTS::
 
-TEST_F(FisheyeTest, projectPoints)
+TEST_F(fisheyeTest, projectPoints)
 {
     double cols = this->imageSize.width,
            rows = this->imageSize.height;
@@ -44,21 +44,21 @@ TEST_F(FisheyeTest, projectPoints)
             pts[k++] = (point - c) * 0.85 + c;
         }
 
-    cv::Fisheye::undistortPoints(distorted0, undist1, this->K, this->D);
+    cv::fisheye::undistortPoints(distorted0, undist1, this->K, this->D);
 
     cv::Vec2d* u1 = undist1.ptr<cv::Vec2d>();
     cv::Vec3d* u2 = undist2.ptr<cv::Vec3d>();
     for(int i = 0; i  < (int)distorted0.total(); ++i)
         u2[i] = cv::Vec3d(u1[i][0], u1[i][1], 1.0);
 
-    cv::Fisheye::distortPoints(undist1, distorted1, this->K, this->D);
-    cv::Fisheye::projectPoints(undist2, distorted2, cv::Vec3d::all(0), cv::Vec3d::all(0), this->K, this->D);
+    cv::fisheye::distortPoints(undist1, distorted1, this->K, this->D);
+    cv::fisheye::projectPoints(undist2, distorted2, cv::Vec3d::all(0), cv::Vec3d::all(0), this->K, this->D);
 
     EXPECT_MAT_NEAR(distorted0, distorted1, 1e-10);
     EXPECT_MAT_NEAR(distorted0, distorted2, 1e-10);
 }
 
-TEST_F(FisheyeTest, undistortImage)
+TEST_F(fisheyeTest, undistortImage)
 {
     cv::Matx33d K = this->K;
     cv::Mat D = cv::Mat(this->D);
@@ -68,7 +68,7 @@ TEST_F(FisheyeTest, undistortImage)
     {
         newK(0, 0) = 100;
         newK(1, 1) = 100;
-        cv::Fisheye::undistortImage(distorted, undistorted, K, D, newK);
+        cv::fisheye::undistortImage(distorted, undistorted, K, D, newK);
         cv::Mat correct = cv::imread(combine(datasets_repository_path, "new_f_100.png"));
         if (correct.empty())
             CV_Assert(cv::imwrite(combine(datasets_repository_path, "new_f_100.png"), undistorted));
@@ -77,8 +77,8 @@ TEST_F(FisheyeTest, undistortImage)
     }
     {
         double balance = 1.0;
-        cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
-        cv::Fisheye::undistortImage(distorted, undistorted, K, D, newK);
+        cv::fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
+        cv::fisheye::undistortImage(distorted, undistorted, K, D, newK);
         cv::Mat correct = cv::imread(combine(datasets_repository_path, "balance_1.0.png"));
         if (correct.empty())
             CV_Assert(cv::imwrite(combine(datasets_repository_path, "balance_1.0.png"), undistorted));
@@ -88,8 +88,8 @@ TEST_F(FisheyeTest, undistortImage)
 
     {
         double balance = 0.0;
-        cv::Fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
-        cv::Fisheye::undistortImage(distorted, undistorted, K, D, newK);
+        cv::fisheye::estimateNewCameraMatrixForUndistortRectify(K, D, distorted.size(), cv::noArray(), newK, balance);
+        cv::fisheye::undistortImage(distorted, undistorted, K, D, newK);
         cv::Mat correct = cv::imread(combine(datasets_repository_path, "balance_0.0.png"));
         if (correct.empty())
             CV_Assert(cv::imwrite(combine(datasets_repository_path, "balance_0.0.png"), undistorted));
@@ -98,7 +98,7 @@ TEST_F(FisheyeTest, undistortImage)
     }
 }
 
-TEST_F(FisheyeTest, jacobians)
+TEST_F(fisheyeTest, jacobians)
 {
     int n = 10;
     cv::Mat X(1, n, CV_64FC3);
@@ -135,14 +135,14 @@ TEST_F(FisheyeTest, jacobians)
                      0,            0,    1);
 
     cv::Mat jacobians;
-    cv::Fisheye::projectPoints(X, x1, om, T, K, k, alpha, jacobians);
+    cv::fisheye::projectPoints(X, x1, om, T, K, k, alpha, jacobians);
 
     //test on T:
     cv::Mat dT(3, 1, CV_64FC1);
     r.fill(dT, cv::RNG::NORMAL, 0, 1);
     dT *= 1e-9*cv::norm(T);
     cv::Mat T2 = T + dT;
-    cv::Fisheye::projectPoints(X, x2, om, T2, K, k, alpha, cv::noArray());
+    cv::fisheye::projectPoints(X, x2, om, T2, K, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(11,14) * dT).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -151,7 +151,7 @@ TEST_F(FisheyeTest, jacobians)
     r.fill(dom, cv::RNG::NORMAL, 0, 1);
     dom *= 1e-9*cv::norm(om);
     cv::Mat om2 = om + dom;
-    cv::Fisheye::projectPoints(X, x2, om2, T, K, k, alpha, cv::noArray());
+    cv::fisheye::projectPoints(X, x2, om2, T, K, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(8,11) * dom).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -160,7 +160,7 @@ TEST_F(FisheyeTest, jacobians)
     r.fill(df, cv::RNG::NORMAL, 0, 1);
     df *= 1e-9*cv::norm(f);
     cv::Matx33d K2 = K + cv::Matx33d(df.at<double>(0), df.at<double>(0) * alpha, 0, 0, df.at<double>(1), 0, 0, 0, 0);
-    cv::Fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
+    cv::fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(0,2) * df).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -169,7 +169,7 @@ TEST_F(FisheyeTest, jacobians)
     r.fill(dc, cv::RNG::NORMAL, 0, 1);
     dc *= 1e-9*cv::norm(c);
     K2 = K + cv::Matx33d(0, 0, dc.at<double>(0), 0, 0, dc.at<double>(1), 0, 0, 0);
-    cv::Fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
+    cv::fisheye::projectPoints(X, x2, om, T, K2, k, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(2,4) * dc).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -178,7 +178,7 @@ TEST_F(FisheyeTest, jacobians)
     r.fill(dk, cv::RNG::NORMAL, 0, 1);
     dk *= 1e-9*cv::norm(k);
     cv::Mat k2 = k + dk;
-    cv::Fisheye::projectPoints(X, x2, om, T, K, k2, alpha, cv::noArray());
+    cv::fisheye::projectPoints(X, x2, om, T, K, k2, alpha, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.colRange(4,8) * dk).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 
@@ -188,12 +188,12 @@ TEST_F(FisheyeTest, jacobians)
     dalpha *= 1e-9*cv::norm(f);
     double alpha2 = alpha + dalpha.at<double>(0);
     K2 = K + cv::Matx33d(0, f.at<double>(0) * dalpha.at<double>(0), 0, 0, 0, 0, 0, 0, 0);
-    cv::Fisheye::projectPoints(X, x2, om, T, K, k, alpha2, cv::noArray());
+    cv::fisheye::projectPoints(X, x2, om, T, K, k, alpha2, cv::noArray());
     xpred = x1 + cv::Mat(jacobians.col(14) * dalpha).reshape(2, 1);
     CV_Assert (cv::norm(x2 - xpred) < 1e-10);
 }
 
-TEST_F(FisheyeTest, Calibration)
+TEST_F(fisheyeTest, Calibration)
 {
     const int n_images = 34;
 
@@ -214,21 +214,21 @@ TEST_F(FisheyeTest, Calibration)
     fs_object.release();
 
     int flag = 0;
-    flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
-    flag |= cv::Fisheye::CALIB_CHECK_COND;
-    flag |= cv::Fisheye::CALIB_FIX_SKEW;
+    flag |= cv::fisheye::CALIB_RECOMPUTE_EXTRINSIC;
+    flag |= cv::fisheye::CALIB_CHECK_COND;
+    flag |= cv::fisheye::CALIB_FIX_SKEW;
 
     cv::Matx33d K;
     cv::Vec4d D;
 
-    cv::Fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
+    cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
                            cv::noArray(), cv::noArray(), flag, cv::TermCriteria(3, 20, 1e-6));
 
     EXPECT_MAT_NEAR(K, this->K, 1e-10);
     EXPECT_MAT_NEAR(D, this->D, 1e-10);
 }
 
-TEST_F(FisheyeTest, Homography)
+TEST_F(fisheyeTest, Homography)
 {
     const int n_images = 1;
 
@@ -289,7 +289,7 @@ TEST_F(FisheyeTest, Homography)
     EXPECT_MAT_NEAR(std_err, correct_std_err, 1e-12);
 }
 
-TEST_F(FisheyeTest, EtimateUncertainties)
+TEST_F(fisheyeTest, EtimateUncertainties)
 {
     const int n_images = 34;
 
@@ -310,16 +310,16 @@ TEST_F(FisheyeTest, EtimateUncertainties)
     fs_object.release();
 
     int flag = 0;
-    flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
-    flag |= cv::Fisheye::CALIB_CHECK_COND;
-    flag |= cv::Fisheye::CALIB_FIX_SKEW;
+    flag |= cv::fisheye::CALIB_RECOMPUTE_EXTRINSIC;
+    flag |= cv::fisheye::CALIB_CHECK_COND;
+    flag |= cv::fisheye::CALIB_FIX_SKEW;
 
     cv::Matx33d K;
     cv::Vec4d D;
     std::vector<cv::Vec3d> rvec;
     std::vector<cv::Vec3d> tvec;
 
-    cv::Fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
+    cv::fisheye::calibrate(objectPoints, imagePoints, imageSize, K, D,
                            rvec, tvec, flag, cv::TermCriteria(3, 20, 1e-6));
 
     cv::internal::IntrinsicParams param, errors;
@@ -345,7 +345,7 @@ TEST_F(FisheyeTest, EtimateUncertainties)
     CV_Assert(errors.alpha == 0);
 }
 
-TEST_F(FisheyeTest, rectify)
+TEST_F(fisheyeTest, rectify)
 {
     const std::string folder =combine(datasets_repository_path, "calib-3_stereo_from_JY");
 
@@ -358,13 +358,13 @@ TEST_F(FisheyeTest, rectify)
 
     double balance = 0.0, fov_scale = 1.1;
     cv::Mat R1, R2, P1, P2, Q;
-    cv::Fisheye::stereoRectify(K1, D1, K2, D2, calibration_size, R, T, R1, R2, P1, P2, Q,
+    cv::fisheye::stereoRectify(K1, D1, K2, D2, calibration_size, R, T, R1, R2, P1, P2, Q,
                       cv::CALIB_ZERO_DISPARITY, requested_size, balance, fov_scale);
 
     cv::Mat lmapx, lmapy, rmapx, rmapy;
     //rewrite for fisheye
-    cv::Fisheye::initUndistortRectifyMap(K1, D1, R1, P1, requested_size, CV_32F, lmapx, lmapy);
-    cv::Fisheye::initUndistortRectifyMap(K2, D2, R2, P2, requested_size, CV_32F, rmapx, rmapy);
+    cv::fisheye::initUndistortRectifyMap(K1, D1, R1, P1, requested_size, CV_32F, lmapx, lmapy);
+    cv::fisheye::initUndistortRectifyMap(K2, D2, R2, P2, requested_size, CV_32F, rmapx, rmapy);
 
     cv::Mat l, r, lundist, rundist;
     cv::VideoCapture lcap(combine(folder, "left/stereo_pair_%03d.jpg")),
@@ -394,7 +394,7 @@ TEST_F(FisheyeTest, rectify)
      }
 }
 
-TEST_F(FisheyeTest, stereoCalibrate)
+TEST_F(fisheyeTest, stereoCalibrate)
 {
     const int n_images = 34;
 
@@ -427,12 +427,12 @@ TEST_F(FisheyeTest, stereoCalibrate)
     cv::Vec4d D1, D2;
 
     int flag = 0;
-    flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
-    flag |= cv::Fisheye::CALIB_CHECK_COND;
-    flag |= cv::Fisheye::CALIB_FIX_SKEW;
-   // flag |= cv::Fisheye::CALIB_FIX_INTRINSIC;
+    flag |= cv::fisheye::CALIB_RECOMPUTE_EXTRINSIC;
+    flag |= cv::fisheye::CALIB_CHECK_COND;
+    flag |= cv::fisheye::CALIB_FIX_SKEW;
+   // flag |= cv::fisheye::CALIB_FIX_INTRINSIC;
 
-    cv::Fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
+    cv::fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
                     K1, D1, K2, D2, imageSize, R, T, flag,
                     cv::TermCriteria(3, 12, 0));
 
@@ -462,7 +462,7 @@ TEST_F(FisheyeTest, stereoCalibrate)
 
 }
 
-TEST_F(FisheyeTest, stereoCalibrateFixIntrinsic)
+TEST_F(fisheyeTest, stereoCalibrateFixIntrinsic)
 {
     const int n_images = 34;
 
@@ -494,10 +494,10 @@ TEST_F(FisheyeTest, stereoCalibrateFixIntrinsic)
     cv::Vec3d T;
 
     int flag = 0;
-    flag |= cv::Fisheye::CALIB_RECOMPUTE_EXTRINSIC;
-    flag |= cv::Fisheye::CALIB_CHECK_COND;
-    flag |= cv::Fisheye::CALIB_FIX_SKEW;
-    flag |= cv::Fisheye::CALIB_FIX_INTRINSIC;
+    flag |= cv::fisheye::CALIB_RECOMPUTE_EXTRINSIC;
+    flag |= cv::fisheye::CALIB_CHECK_COND;
+    flag |= cv::fisheye::CALIB_FIX_SKEW;
+    flag |= cv::fisheye::CALIB_FIX_INTRINSIC;
 
     cv::Matx33d K1 (561.195925927249,                0, 621.282400272412,
                                    0, 562.849402029712, 380.555455380889,
@@ -510,7 +510,7 @@ TEST_F(FisheyeTest, stereoCalibrateFixIntrinsic)
     cv::Vec4d D1 (-7.44253716539556e-05, -0.00702662033932424, 0.00737569823650885, -0.00342230256441771);
     cv::Vec4d D2 (-0.0130785435677431, 0.0284434505383497, -0.0360333869900506, 0.0144724062347222);
 
-    cv::Fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
+    cv::fisheye::stereoCalibrate(objectPoints, leftPoints, rightPoints,
                     K1, D1, K2, D2, imageSize, R, T, flag,
                     cv::TermCriteria(3, 12, 0));
 
@@ -525,23 +525,23 @@ TEST_F(FisheyeTest, stereoCalibrateFixIntrinsic)
 }
 
 ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
-///  FisheyeTest::
+///  fisheyeTest::
 
-const cv::Size FisheyeTest::imageSize(1280, 800);
+const cv::Size fisheyeTest::imageSize(1280, 800);
 
-const cv::Matx33d FisheyeTest::K(558.478087865323,               0, 620.458515360843,
+const cv::Matx33d fisheyeTest::K(558.478087865323,               0, 620.458515360843,
                               0, 560.506767351568, 381.939424848348,
                               0,               0,                1);
 
-const cv::Vec4d FisheyeTest::D(-0.0014613319981768, -0.00329861110580401, 0.00605760088590183, -0.00374209380722371);
+const cv::Vec4d fisheyeTest::D(-0.0014613319981768, -0.00329861110580401, 0.00605760088590183, -0.00374209380722371);
 
-const cv::Matx33d FisheyeTest::R ( 9.9756700084424932e-01, 6.9698277640183867e-02, 1.4929569991321144e-03,
+const cv::Matx33d fisheyeTest::R ( 9.9756700084424932e-01, 6.9698277640183867e-02, 1.4929569991321144e-03,
                             -6.9711825162322980e-02, 9.9748249845531767e-01, 1.2997180766418455e-02,
                             -5.8331736398316541e-04,-1.3069635393884985e-02, 9.9991441852366736e-01);
 
-const cv::Vec3d FisheyeTest::T(-9.9217369356044638e-02, 3.1741831972356663e-03, 1.8551007952921010e-04);
+const cv::Vec3d fisheyeTest::T(-9.9217369356044638e-02, 3.1741831972356663e-03, 1.8551007952921010e-04);
 
-std::string FisheyeTest::combine(const std::string& _item1, const std::string& _item2)
+std::string fisheyeTest::combine(const std::string& _item1, const std::string& _item2)
 {
     std::string item1 = _item1, item2 = _item2;
     std::replace(item1.begin(), item1.end(), '\\', '/');
@@ -557,7 +557,7 @@ std::string FisheyeTest::combine(const std::string& _item1, const std::string& _
     return item1 + (last != '/' ? "/" : "") + item2;
 }
 
-std::string FisheyeTest::combine_format(const std::string& item1, const std::string& item2, ...)
+std::string fisheyeTest::combine_format(const std::string& item1, const std::string& item2, ...)
 {
     std::string fmt = combine(item1, item2);
     char buffer[1 << 16];
@@ -568,7 +568,7 @@ std::string FisheyeTest::combine_format(const std::string& item1, const std::str
     return std::string(buffer);
 }
 
-cv::Mat FisheyeTest::mergeRectification(const cv::Mat& l, const cv::Mat& r)
+cv::Mat fisheyeTest::mergeRectification(const cv::Mat& l, const cv::Mat& r)
 {
     CV_Assert(l.type() == r.type() && l.size() == r.size());
     cv::Mat merged(l.rows, l.cols * 2, l.type());

From 0d2fab86b4240202ead7cc6e746b8b8203755d50 Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Mon, 19 May 2014 18:16:00 +0400
Subject: [PATCH 21/92] Changed documentation for namespace fisheye

---
 ...mera_calibration_and_3d_reconstruction.rst | 98 +++++++++----------
 1 file changed, 47 insertions(+), 51 deletions(-)

diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
index 5f64125eba..ae6aa27f83 100644
--- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
+++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
@@ -1487,57 +1487,53 @@ The function reconstructs 3-dimensional points (in homogeneous coordinates) by u
 
     :ocv:func:`reprojectImageTo3D`
 
-Fisheye
+fisheye
 ----------
 
-.. ocv:class:: Fisheye
+The methods in this namespace use a so-called fisheye camera model. ::
 
-The methods in this class use a so-called fisheye camera model. ::
-
-    class Fisheye
+    namespace fisheye
     {
-    public:
-
         //! projects 3D points using fisheye model
-        static void projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
+        void projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine,
             InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray());
 
         //! projects points using fisheye model
-        static void projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec,
+        void projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec,
             InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray());
 
         //! distorts 2D points using fisheye model
-        static void distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0);
+        void distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0);
 
         //! undistorts 2D points using fisheye model
-        static void undistortPoints(InputArray distorted, OutputArray undistorted,
+        void undistortPoints(InputArray distorted, OutputArray undistorted,
             InputArray K, InputArray D, InputArray R = noArray(), InputArray P  = noArray());
 
         //! computing undistortion and rectification maps for image transform by cv::remap()
         //! If D is empty zero distortion is used, if R or P is empty identity matrixes are used
-        static void initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
+        void initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P,
             const cv::Size& size, int m1type, OutputArray map1, OutputArray map2);
 
         //! undistorts image, optionally changes resolution and camera matrix.
-        static void undistortImage(InputArray distorted, OutputArray undistorted,
+        void undistortImage(InputArray distorted, OutputArray undistorted,
             InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size());
 
         //! estimates new camera matrix for undistortion or rectification
-        static void estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
+        void estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R,
             OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0);
 
         //! performs camera calibaration
-        static double calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
+        double calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size,
             InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0,
                 TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON));
 
         //! stereo rectification estimation
-        static void stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
+        void stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec,
             OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(),
             double balance = 0.0, double fov_scale = 1.0);
 
         //! performs stereo calibration
-        static double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
+        double stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2,
                                       InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize,
                                       OutputArray R, OutputArray T, int flags = CALIB_FIX_INTRINSIC,
                                       TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON));
@@ -1594,13 +1590,13 @@ Finally, convertion into pixel coordinates: The final pixel coordinates vector [
     u = f_x (x' + \alpha y') + c_x \\
     v = f_y yy + c_y
 
-Fisheye::projectPoints
+fisheye::projectPoints
 ---------------------------
 Projects points using fisheye model
 
-.. ocv:function:: void Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine, InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray())
+.. ocv:function:: void fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, const Affine3d& affine, InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray())
 
-.. ocv:function:: void Fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec, InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray())
+.. ocv:function:: void fisheye::projectPoints(InputArray objectPoints, OutputArray imagePoints, InputArray rvec, InputArray tvec, InputArray K, InputArray D, double alpha = 0, OutputArray jacobian = noArray())
 
     :param objectPoints: Array of object points, 1xN/Nx1 3-channel  (or  ``vector<Point3f>`` ), where N is the number of points in the view.
 
@@ -1620,11 +1616,11 @@ Projects points using fisheye model
 
 The function computes projections of 3D points to the image plane given intrinsic and extrinsic camera parameters. Optionally, the function computes Jacobians - matrices of partial derivatives of image points coordinates (as functions of all the input parameters) with respect to the particular parameters, intrinsic and/or extrinsic.
 
-Fisheye::distortPoints
+fisheye::distortPoints
 -------------------------
 Distorts 2D points using fisheye model.
 
-.. ocv:function:: void Fisheye::distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0)
+.. ocv:function:: void fisheye::distortPoints(InputArray undistorted, OutputArray distorted, InputArray K, InputArray D, double alpha = 0)
 
     :param undistorted: Array of object points, 1xN/Nx1 2-channel  (or  ``vector<Point2f>`` ), where N is the number of points in the view.
 
@@ -1636,11 +1632,11 @@ Distorts 2D points using fisheye model.
 
     :param distorted: Output array of image points, 1xN/Nx1 2-channel, or  ``vector<Point2f>`` .
 
-Fisheye::undistortPoints
+fisheye::undistortPoints
 -----------------------------
 Undistorts 2D points using fisheye model
 
-.. ocv:function:: void Fisheye::undistortPoints(InputArray distorted, OutputArray undistorted, InputArray K, InputArray D, InputArray R = noArray(), InputArray P  = noArray())
+.. ocv:function:: void fisheye::undistortPoints(InputArray distorted, OutputArray undistorted, InputArray K, InputArray D, InputArray R = noArray(), InputArray P  = noArray())
 
     :param distorted: Array of object points, 1xN/Nx1 2-channel  (or  ``vector<Point2f>`` ), where N is the number of points in the view.
 
@@ -1655,11 +1651,11 @@ Undistorts 2D points using fisheye model
     :param undistorted: Output array of image points, 1xN/Nx1 2-channel, or ``vector<Point2f>`` .
 
 
-Fisheye::initUndistortRectifyMap
+fisheye::initUndistortRectifyMap
 -------------------------------------
 Computes undistortion and rectification maps for image transform by cv::remap(). If D is empty zero distortion is used, if R or P is empty identity matrixes are used.
 
-.. ocv:function:: void Fisheye::initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P, const cv::Size& size, int m1type, OutputArray map1, OutputArray map2)
+.. ocv:function:: void fisheye::initUndistortRectifyMap(InputArray K, InputArray D, InputArray R, InputArray P, const cv::Size& size, int m1type, OutputArray map1, OutputArray map2)
 
     :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
 
@@ -1677,11 +1673,11 @@ Computes undistortion and rectification maps for image transform by cv::remap().
 
     :param map2: The second output map.
 
-Fisheye::undistortImage
+fisheye::undistortImage
 -----------------------
 Transforms an image to compensate for fisheye lens distortion.
 
-.. ocv:function:: void Fisheye::undistortImage(InputArray distorted, OutputArray undistorted, InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size())
+.. ocv:function:: void fisheye::undistortImage(InputArray distorted, OutputArray undistorted, InputArray K, InputArray D, InputArray Knew = cv::noArray(), const Size& new_size = Size())
 
     :param distorted: image with fisheye lens distortion.
 
@@ -1696,12 +1692,12 @@ Transforms an image to compensate for fisheye lens distortion.
 The function transforms an image to compensate radial and tangential lens distortion.
 
 The function is simply a combination of
-:ocv:func:`Fisheye::initUndistortRectifyMap` (with unity ``R`` ) and
+:ocv:func:`fisheye::initUndistortRectifyMap` (with unity ``R`` ) and
 :ocv:func:`remap` (with bilinear interpolation). See the former function for details of the transformation being performed.
 
 See below the results of undistortImage.
     * a\) result of :ocv:func:`undistort` of perspective camera model (all possible coefficients (k_1, k_2, k_3, k_4, k_5, k_6) of distortion were optimized under calibration)
-    * b\) result of :ocv:func:`Fisheye::undistortImage` of fisheye camera model (all possible coefficients (k_1, k_2, k_3, k_4) of fisheye distortion were optimized under calibration)
+    * b\) result of :ocv:func:`fisheye::undistortImage` of fisheye camera model (all possible coefficients (k_1, k_2, k_3, k_4) of fisheye distortion were optimized under calibration)
     * c\) original image was captured with fisheye lens
 
 Pictures a) and b) almost the same. But if we consider points of image located far from the center of image, we can notice that on image a) these points are distorted.
@@ -1709,11 +1705,11 @@ Pictures a) and b) almost the same. But if we consider points of image located f
 .. image:: pics/fisheye_undistorted.jpg
 
 
-Fisheye::estimateNewCameraMatrixForUndistortRectify
+fisheye::estimateNewCameraMatrixForUndistortRectify
 ----------------------------------------------------------
 Estimates new camera matrix for undistortion or rectification.
 
-.. ocv:function:: void Fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R, OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0)
+.. ocv:function:: void fisheye::estimateNewCameraMatrixForUndistortRectify(InputArray K, InputArray D, const Size &image_size, InputArray R, OutputArray P, double balance = 0.0, const Size& new_size = Size(), double fov_scale = 1.0)
 
     :param K: Camera matrix  :math:`K = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{_1}`.
 
@@ -1727,11 +1723,11 @@ Estimates new camera matrix for undistortion or rectification.
 
     :param fov_scale: Divisor for new focal length.
 
-Fisheye::stereoRectify
+fisheye::stereoRectify
 ------------------------------
 Stereo rectification for fisheye camera model
 
-.. ocv:function:: void Fisheye::stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(), double balance = 0.0, double fov_scale = 1.0)
+.. ocv:function:: void fisheye::stereoRectify(InputArray K1, InputArray D1, InputArray K2, InputArray D2, const Size &imageSize, InputArray R, InputArray tvec, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags, const Size &newImageSize = Size(), double balance = 0.0, double fov_scale = 1.0)
 
     :param K1: First camera matrix.
 
@@ -1773,11 +1769,11 @@ Stereo rectification for fisheye camera model
 
 
 
-Fisheye::calibrate
+fisheye::calibrate
 ----------------------------
 Performs camera calibaration
 
-.. ocv:function:: double Fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size, InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
+.. ocv:function:: double fisheye::calibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, const Size& image_size, InputOutputArray K, InputOutputArray D, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags = 0, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
 
     :param objectPoints: vector of vectors of calibration pattern points in the calibration pattern coordinate space.
 
@@ -1785,7 +1781,7 @@ Performs camera calibaration
 
     :param image_size: Size of the image used only to initialize the intrinsic camera matrix.
 
-    :param K: Output 3x3 floating-point camera matrix  :math:`A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}` . If  ``Fisheye::CALIB_USE_INTRINSIC_GUESS``/ is specified, some or all of  ``fx, fy, cx, cy``  must be initialized before calling the function.
+    :param K: Output 3x3 floating-point camera matrix  :math:`A = \vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}` . If  ``fisheye::CALIB_USE_INTRINSIC_GUESS``/ is specified, some or all of  ``fx, fy, cx, cy``  must be initialized before calling the function.
 
     :param D: Output vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`.
 
@@ -1795,24 +1791,24 @@ Performs camera calibaration
 
     :param flags: Different flags that may be zero or a combination of the following values:
 
-        * **Fisheye::CALIB_USE_INTRINSIC_GUESS** ``cameraMatrix``  contains valid initial values of  ``fx, fy, cx, cy``  that are optimized further. Otherwise, ``(cx, cy)``  is initially set to the image center ( ``imageSize``  is used), and focal distances are computed in a least-squares fashion.
+        * **fisheye::CALIB_USE_INTRINSIC_GUESS** ``cameraMatrix``  contains valid initial values of  ``fx, fy, cx, cy``  that are optimized further. Otherwise, ``(cx, cy)``  is initially set to the image center ( ``imageSize``  is used), and focal distances are computed in a least-squares fashion.
 
-        * **Fisheye::CALIB_RECOMPUTE_EXTRINSIC** Extrinsic will be recomputed after each iteration of intrinsic optimization.
+        * **fisheye::CALIB_RECOMPUTE_EXTRINSIC** Extrinsic will be recomputed after each iteration of intrinsic optimization.
 
-        * **Fisheye::CALIB_CHECK_COND** The functions will check validity of condition number.
+        * **fisheye::CALIB_CHECK_COND** The functions will check validity of condition number.
 
-        * **Fisheye::CALIB_FIX_SKEW** Skew coefficient (alpha) is set to zero and stay zero.
+        * **fisheye::CALIB_FIX_SKEW** Skew coefficient (alpha) is set to zero and stay zero.
 
-        * **Fisheye::CALIB_FIX_K1..4** Selected distortion coefficients are set to zeros and stay zero.
+        * **fisheye::CALIB_FIX_K1..4** Selected distortion coefficients are set to zeros and stay zero.
 
     :param criteria: Termination criteria for the iterative optimization algorithm.
 
 
-Fisheye::stereoCalibrate
+fisheye::stereoCalibrate
 ----------------------------
 Performs stereo calibration
 
-.. ocv:function:: double Fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize, OutputArray R, OutputArray T, int flags = CALIB_FIX_INTRINSIC, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
+.. ocv:function:: double fisheye::stereoCalibrate(InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, InputOutputArray K1, InputOutputArray D1, InputOutputArray K2, InputOutputArray D2, Size imageSize, OutputArray R, OutputArray T, int flags = CALIB_FIX_INTRINSIC, TermCriteria criteria = TermCriteria(TermCriteria::COUNT + TermCriteria::EPS, 100, DBL_EPSILON))
 
     :param objectPoints: Vector of vectors of the calibration pattern points.
 
@@ -1820,7 +1816,7 @@ Performs stereo calibration
 
     :param imagePoints2: Vector of vectors of the projections of the calibration pattern points, observed by the second camera.
 
-    :param K1: Input/output first camera matrix:  :math:`\vecthreethree{f_x^{(j)}}{0}{c_x^{(j)}}{0}{f_y^{(j)}}{c_y^{(j)}}{0}{0}{1}` , :math:`j = 0,\, 1` . If any of  ``Fisheye::CALIB_USE_INTRINSIC_GUESS`` , ``Fisheye::CV_CALIB_FIX_INTRINSIC`` are specified, some or all of the matrix components must be initialized.
+    :param K1: Input/output first camera matrix:  :math:`\vecthreethree{f_x^{(j)}}{0}{c_x^{(j)}}{0}{f_y^{(j)}}{c_y^{(j)}}{0}{0}{1}` , :math:`j = 0,\, 1` . If any of  ``fisheye::CALIB_USE_INTRINSIC_GUESS`` , ``fisheye::CV_CALIB_FIX_INTRINSIC`` are specified, some or all of the matrix components must be initialized.
 
     :param D1: Input/output vector of distortion coefficients  :math:`(k_1, k_2, k_3, k_4)`  of 4 elements.
 
@@ -1836,17 +1832,17 @@ Performs stereo calibration
 
     :param flags: Different flags that may be zero or a combination of the following values:
 
-        * **Fisheye::CV_CALIB_FIX_INTRINSIC** Fix ``K1, K2?`` and ``D1, D2?`` so that only ``R, T`` matrices are estimated.
+        * **fisheye::CV_CALIB_FIX_INTRINSIC** Fix ``K1, K2?`` and ``D1, D2?`` so that only ``R, T`` matrices are estimated.
 
-        * **Fisheye::CALIB_USE_INTRINSIC_GUESS** ``K1, K2`` contains valid initial values of ``fx, fy, cx, cy`` that are optimized further. Otherwise, ``(cx, cy)`` is initially set to the image center (``imageSize`` is used), and focal distances are computed in a least-squares fashion.
+        * **fisheye::CALIB_USE_INTRINSIC_GUESS** ``K1, K2`` contains valid initial values of ``fx, fy, cx, cy`` that are optimized further. Otherwise, ``(cx, cy)`` is initially set to the image center (``imageSize`` is used), and focal distances are computed in a least-squares fashion.
 
-        * **Fisheye::CALIB_RECOMPUTE_EXTRINSIC** Extrinsic will be recomputed after each iteration of intrinsic optimization.
+        * **fisheye::CALIB_RECOMPUTE_EXTRINSIC** Extrinsic will be recomputed after each iteration of intrinsic optimization.
 
-        * **Fisheye::CALIB_CHECK_COND** The functions will check validity of condition number.
+        * **fisheye::CALIB_CHECK_COND** The functions will check validity of condition number.
 
-        * **Fisheye::CALIB_FIX_SKEW** Skew coefficient (alpha) is set to zero and stay zero.
+        * **fisheye::CALIB_FIX_SKEW** Skew coefficient (alpha) is set to zero and stay zero.
 
-        * **Fisheye::CALIB_FIX_K1..4** Selected distortion coefficients are set to zeros and stay zero.
+        * **fisheye::CALIB_FIX_K1..4** Selected distortion coefficients are set to zeros and stay zero.
 
     :param criteria: Termination criteria for the iterative optimization algorithm.
 

From 3678020c28fad07517e2c5123764291dff3eaee2 Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Tue, 20 May 2014 12:37:37 +0400
Subject: [PATCH 22/92] Added license to source files

---
 modules/calib3d/src/fisheye.cpp       | 43 +++++++++++++++++++++++++++
 modules/calib3d/test/test_fisheye.cpp | 42 ++++++++++++++++++++++++++
 2 files changed, 85 insertions(+)

diff --git a/modules/calib3d/src/fisheye.cpp b/modules/calib3d/src/fisheye.cpp
index 34d11d1fa8..66cf589564 100644
--- a/modules/calib3d/src/fisheye.cpp
+++ b/modules/calib3d/src/fisheye.cpp
@@ -1,3 +1,46 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
+#include "precomp.hpp"
 #include "fisheye.hpp"
 
 namespace cv { namespace
diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index ed53ec415e..2749a1a6e3 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -1,3 +1,45 @@
+/*M///////////////////////////////////////////////////////////////////////////////////////
+//
+//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+//
+//  By downloading, copying, installing or using the software you agree to this license.
+//  If you do not agree to this license, do not download, install,
+//  copy or use the software.
+//
+//
+//                           License Agreement
+//                For Open Source Computer Vision Library
+//
+// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
+// Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
+// Third party copyrights are property of their respective owners.
+//
+// Redistribution and use in source and binary forms, with or without modification,
+// are permitted provided that the following conditions are met:
+//
+//   * Redistribution's of source code must retain the above copyright notice,
+//     this list of conditions and the following disclaimer.
+//
+//   * Redistribution's in binary form must reproduce the above copyright notice,
+//     this list of conditions and the following disclaimer in the documentation
+//     and/or other materials provided with the distribution.
+//
+//   * The name of the copyright holders may not be used to endorse or promote products
+//     derived from this software without specific prior written permission.
+//
+// This software is provided by the copyright holders and contributors "as is" and
+// any express or implied warranties, including, but not limited to, the implied
+// warranties of merchantability and fitness for a particular purpose are disclaimed.
+// In no event shall the Intel Corporation or contributors be liable for any direct,
+// indirect, incidental, special, exemplary, or consequential damages
+// (including, but not limited to, procurement of substitute goods or services;
+// loss of use, data, or profits; or business interruption) however caused
+// and on any theory of liability, whether in contract, strict liability,
+// or tort (including negligence or otherwise) arising in any way out of
+// the use of this software, even if advised of the possibility of such damage.
+//
+//M*/
+
 #include "test_precomp.hpp"
 #include <opencv2/ts/gpu_test.hpp>
 #include "../src/fisheye.hpp"

From 511ed4388ec233b471c9a4300f508640d2e7fdd9 Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Mon, 19 May 2014 18:15:04 +0400
Subject: [PATCH 23/92] Disabled BORDER_CONSTANT for pyramid functions.

---
 modules/imgproc/doc/filtering.rst | 28 ++++++++++++++++++----------
 modules/imgproc/src/pyramids.cpp  |  6 ++++++
 2 files changed, 24 insertions(+), 10 deletions(-)

diff --git a/modules/imgproc/doc/filtering.rst b/modules/imgproc/doc/filtering.rst
index efab258d4a..130b8e01a3 100755
--- a/modules/imgproc/doc/filtering.rst
+++ b/modules/imgproc/doc/filtering.rst
@@ -558,6 +558,8 @@ Constructs the Gaussian pyramid for an image.
 
     :param maxlevel: 0-based index of the last (the smallest) pyramid layer. It must be non-negative.
 
+    :param borderType: Pixel extrapolation method (BORDER_CONSTANT don't supported). See  :ocv:func:`borderInterpolate` for details.
+
 The function constructs a vector of images and builds the Gaussian pyramid by recursively applying
 :ocv:func:`pyrDown` to the previously built pyramid layers, starting from ``dst[0]==src`` .
 
@@ -1343,12 +1345,16 @@ Blurs an image and downsamples it.
 
     :param dst: output image; it has the specified size and the same type as ``src``.
 
-    :param dstsize: size of the output image; by default, it is computed as ``Size((src.cols+1)/2, (src.rows+1)/2)``, but in any case, the following conditions should be satisfied:
+    :param dstsize: size of the output image.
 
-        .. math::
+    :param borderType: Pixel extrapolation method (BORDER_CONSTANT don't supported). See  :ocv:func:`borderInterpolate` for details.
+
+By default, size of the output image is computed as ``Size((src.cols+1)/2, (src.rows+1)/2)``, but in any case, the following conditions should be satisfied:
 
-            \begin{array}{l}
-            | \texttt{dstsize.width} *2-src.cols| \leq  2  \\ | \texttt{dstsize.height} *2-src.rows| \leq  2 \end{array}
+.. math::
+
+    \begin{array}{l}
+    | \texttt{dstsize.width} *2-src.cols| \leq  2  \\ | \texttt{dstsize.height} *2-src.rows| \leq  2 \end{array}
 
 The function performs the downsampling step of the Gaussian pyramid construction. First, it convolves the source image with the kernel:
 
@@ -1358,8 +1364,6 @@ The function performs the downsampling step of the Gaussian pyramid construction
 
 Then, it downsamples the image by rejecting even rows and columns.
 
-
-
 pyrUp
 -----
 Upsamples an image and then blurs it.
@@ -1376,12 +1380,16 @@ Upsamples an image and then blurs it.
 
     :param dst: output image. It has the specified size and the same type as  ``src`` .
 
-    :param dstsize: size of the output image; by default, it is computed as ``Size(src.cols*2, (src.rows*2)``, but in any case, the following conditions should be satisfied:
+    :param dstsize: size of the output image.
 
-        .. math::
+    :param borderType: Pixel extrapolation method (only BORDER_DEFAULT supported). See  :ocv:func:`borderInterpolate` for details.
+
+By default, size of the output image is computed as ``Size(src.cols*2, (src.rows*2)``, but in any case, the following conditions should be satisfied:
+
+.. math::
 
-            \begin{array}{l}
-            | \texttt{dstsize.width} -src.cols*2| \leq  ( \texttt{dstsize.width}   \mod  2)  \\ | \texttt{dstsize.height} -src.rows*2| \leq  ( \texttt{dstsize.height}   \mod  2) \end{array}
+    \begin{array}{l}
+    | \texttt{dstsize.width} -src.cols*2| \leq  ( \texttt{dstsize.width}   \mod  2)  \\ | \texttt{dstsize.height} -src.rows*2| \leq  ( \texttt{dstsize.height}   \mod  2) \end{array}
 
 The function performs the upsampling step of the Gaussian pyramid construction, though it can actually be used to construct the Laplacian pyramid. First, it upsamples the source image by injecting even zero rows and columns and then convolves the result with the same kernel as in
 :ocv:func:`pyrDown`  multiplied by 4.
diff --git a/modules/imgproc/src/pyramids.cpp b/modules/imgproc/src/pyramids.cpp
index 01e510e7de..4000167497 100644
--- a/modules/imgproc/src/pyramids.cpp
+++ b/modules/imgproc/src/pyramids.cpp
@@ -403,6 +403,8 @@ typedef void (*PyrFunc)(const Mat&, Mat&, int);
 
 void cv::pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
 {
+    CV_Assert(borderType != BORDER_CONSTANT);
+
     Mat src = _src.getMat();
     Size dsz = _dsz == Size() ? Size((src.cols + 1)/2, (src.rows + 1)/2) : _dsz;
     _dst.create( dsz, src.type() );
@@ -433,6 +435,8 @@ void cv::pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, int borde
 
 void cv::pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int borderType )
 {
+    CV_Assert(borderType == BORDER_DEFAULT);
+
     Mat src = _src.getMat();
     Size dsz = _dsz == Size() ? Size(src.cols*2, src.rows*2) : _dsz;
     _dst.create( dsz, src.type() );
@@ -463,6 +467,8 @@ void cv::pyrUp( InputArray _src, OutputArray _dst, const Size& _dsz, int borderT
 
 void cv::buildPyramid( InputArray _src, OutputArrayOfArrays _dst, int maxlevel, int borderType )
 {
+    CV_Assert(borderType != BORDER_CONSTANT);
+
     Mat src = _src.getMat();
     _dst.create( maxlevel + 1, 1, 0 );
     _dst.getMatRef(0) = src;

From e63d7de87c3565555e4a73220a465ed39488160d Mon Sep 17 00:00:00 2001
From: Pierre-Emmanuel Viel <p.emmanuel.viel@gmail.com>
Date: Tue, 20 May 2014 22:52:11 +0200
Subject: [PATCH 24/92] Allows to choose orthogonal sub-vectors for LSH without
 using a static table among LshTable instances

---
 .../flann/include/opencv2/flann/lsh_index.h   | 14 ++++++++-
 .../flann/include/opencv2/flann/lsh_table.h   | 30 +++++--------------
 2 files changed, 21 insertions(+), 23 deletions(-)

diff --git a/modules/flann/include/opencv2/flann/lsh_index.h b/modules/flann/include/opencv2/flann/lsh_index.h
index 4d4670ea50..2530a0143a 100644
--- a/modules/flann/include/opencv2/flann/lsh_index.h
+++ b/modules/flann/include/opencv2/flann/lsh_index.h
@@ -109,10 +109,22 @@ public:
      */
     void buildIndex()
     {
+        std::vector<size_t> indices(feature_size_ * CHAR_BIT);
+
         tables_.resize(table_number_);
         for (unsigned int i = 0; i < table_number_; ++i) {
+
+            //re-initialize the random indices table that the LshTable will use to pick its sub-dimensions
+            if( (indices.size() == feature_size_ * CHAR_BIT) || (indices.size() < key_size_) )
+            {
+              indices.resize( feature_size_ * CHAR_BIT );
+              for (size_t i = 0; i < feature_size_ * CHAR_BIT; ++i)
+                  indices[i] = i;
+              std::random_shuffle(indices.begin(), indices.end());
+            }
+
             lsh::LshTable<ElementType>& table = tables_[i];
-            table = lsh::LshTable<ElementType>(feature_size_, key_size_);
+            table = lsh::LshTable<ElementType>(feature_size_, key_size_, indices);
 
             // Add the features to the table
             table.add(dataset_);
diff --git a/modules/flann/include/opencv2/flann/lsh_table.h b/modules/flann/include/opencv2/flann/lsh_table.h
index 18fb139c91..f6e68dc767 100644
--- a/modules/flann/include/opencv2/flann/lsh_table.h
+++ b/modules/flann/include/opencv2/flann/lsh_table.h
@@ -153,7 +153,7 @@ public:
      * @param feature_size is the size of the feature (considered as a ElementType[])
      * @param key_size is the number of bits that are turned on in the feature
      */
-    LshTable(unsigned int /*feature_size*/, unsigned int /*key_size*/)
+    LshTable(unsigned int /*feature_size*/, unsigned int /*key_size*/, std::vector<size_t> & /*indices*/)
     {
         std::cerr << "LSH is not implemented for that type" << std::endl;
         assert(0);
@@ -341,34 +341,20 @@ private:
 // Specialization for unsigned char
 
 template<>
-inline LshTable<unsigned char>::LshTable(unsigned int feature_size, unsigned int subsignature_size)
+inline LshTable<unsigned char>::LshTable( unsigned int feature_size,
+                                          unsigned int subsignature_size,
+                                          std::vector<size_t> & indices  )
 {
     initialize(subsignature_size);
     // Allocate the mask
     mask_ = std::vector<size_t>((size_t)ceil((float)(feature_size * sizeof(char)) / (float)sizeof(size_t)), 0);
 
-    // A bit brutal but fast to code
-    static std::vector<size_t>* indices = NULL;
-
-    //Ensure the Nth bit will be selected only once among the different LshTables
-    //to avoid having two different tables with signatures sharing many dimensions/many bits
-    if( indices == NULL )
-    {
-        indices = new std::vector<size_t>( feature_size * CHAR_BIT );
-    }
-    else if( indices->size() < key_size_ )
-    {
-      indices->resize( feature_size * CHAR_BIT );
-      for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) {
-          (*indices)[i] = i;
-      }
-      std::random_shuffle(indices->begin(), indices->end());
-    }
-
     // Generate a random set of order of subsignature_size_ bits
     for (unsigned int i = 0; i < key_size_; ++i) {
-        size_t index = (*indices)[0];
-        indices->erase( indices->begin() );
+        //Ensure the Nth bit will be selected only once among the different LshTables
+        //to avoid having two different tables with signatures sharing many dimensions/many bits
+        size_t index = indices[0];
+        indices.erase( indices.begin() );
 
         // Set that bit in the mask
         size_t divisor = CHAR_BIT * sizeof(size_t);

From 8d4a76925c47703ebc13d593787dacc4b69568cc Mon Sep 17 00:00:00 2001
From: Konstantin Matskevich <konstantin.matskevich@itseez.com>
Date: Tue, 20 May 2014 18:03:20 +0400
Subject: [PATCH 25/92] fixed binary compatibility

---
 modules/contrib/doc/facerec/facerec_api.rst   |  15 +-
 .../include/opencv2/contrib/contrib.hpp       |   6 +-
 modules/contrib/src/facerec.cpp               | 169 +++++++-----------
 samples/cpp/facerec_demo.cpp                  |   1 +
 4 files changed, 76 insertions(+), 115 deletions(-)

diff --git a/modules/contrib/doc/facerec/facerec_api.rst b/modules/contrib/doc/facerec/facerec_api.rst
index 4c91bb7cb9..edb6edb1d5 100644
--- a/modules/contrib/doc/facerec/facerec_api.rst
+++ b/modules/contrib/doc/facerec/facerec_api.rst
@@ -48,13 +48,13 @@ a unified access to all face recongition algorithms in OpenCV. ::
       virtual void load(const FileStorage& fs) = 0;
 
       // Sets additional information as pairs label - info.
-      virtual void setLabelsInfo(const std::map<int, string>& labelsInfo) = 0;
+      void setLabelsInfo(const std::map<int, string>& labelsInfo);
 
       // Gets string information by label
-      virtual string getLabelInfo(int label) const = 0;
+      string getLabelInfo(const int &label);
 
       // Gets labels by string
-      virtual vector<int> getLabelsByString(const string& str) = 0;
+      vector<int> getLabelsByString(const string& str);
   };
 
 
@@ -308,7 +308,7 @@ FaceRecognizer::setLabelsInfo
 -----------------------------
 
 Sets string information about labels into the model.
-.. ocv:function:: void FaceRecognizer::setLabelsInfo(const std::map<int, string>& labelsInfo) = 0
+.. ocv:function:: void FaceRecognizer::setLabelsInfo(const std::map<int, string>& labelsInfo)
 
 Information about the label loads as a pair "label id - string info".
 
@@ -316,7 +316,7 @@ FaceRecognizer::getLabelInfo
 ----------------------------
 
 Gets string information by label.
-.. ocv:function:: string FaceRecognizer::getLabelInfo(int label) const = 0
+.. ocv:function:: string FaceRecognizer::getLabelInfo(const int &label)
 
 If an unknown label id is provided or there is no label information assosiated with the specified label id the method returns an empty string.
 
@@ -324,7 +324,7 @@ FaceRecognizer::getLabelsByString
 ---------------------------------
 Gets vector of labels by string.
 
-.. ocv:function:: vector<int> FaceRecognizer::getLabelsByString(const string& str) = 0
+.. ocv:function:: vector<int> FaceRecognizer::getLabelsByString(const string& str)
 
 The function searches for the labels containing the specified substring in the associated string info.
 
@@ -354,7 +354,6 @@ Model internal data:
 * ``mean`` The sample mean calculated from the training data.
 * ``projections`` The projections of the training data.
 * ``labels`` The threshold applied in the prediction. If the distance to the nearest neighbor is larger than the threshold, this method returns -1.
-* ``labelsInfo`` The string information about the labels.
 
 createFisherFaceRecognizer
 --------------------------
@@ -382,7 +381,6 @@ Model internal data:
 * ``mean`` The sample mean calculated from the training data.
 * ``projections`` The projections of the training data.
 * ``labels`` The labels corresponding to the projections.
-* ``labelsInfo`` The string information about the labels.
 
 
 createLBPHFaceRecognizer
@@ -412,4 +410,3 @@ Model internal data:
 * ``threshold`` see :ocv:func:`createLBPHFaceRecognizer`.
 * ``histograms`` Local Binary Patterns Histograms calculated from the given training data (empty if none was given).
 * ``labels`` Labels corresponding to the calculated Local Binary Patterns Histograms.
-* ``labelsInfo`` The string information about the labels.
diff --git a/modules/contrib/include/opencv2/contrib/contrib.hpp b/modules/contrib/include/opencv2/contrib/contrib.hpp
index e6e11d816a..5684ee2422 100644
--- a/modules/contrib/include/opencv2/contrib/contrib.hpp
+++ b/modules/contrib/include/opencv2/contrib/contrib.hpp
@@ -949,13 +949,13 @@ namespace cv
         virtual void load(const FileStorage& fs) = 0;
 
         // Sets additional information as pairs label - info.
-        virtual void setLabelsInfo(const std::map<int, string>& labelsInfo) = 0;
+        void setLabelsInfo(const std::map<int, string>& labelsInfo);
 
         // Gets string information by label
-        virtual string getLabelInfo(int label) const = 0;
+        string getLabelInfo(const int &label);
 
         // Gets labels by string
-        virtual vector<int> getLabelsByString(const string& str) = 0;
+        vector<int> getLabelsByString(const string& str);
     };
 
     CV_EXPORTS_W Ptr<FaceRecognizer> createEigenFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
diff --git a/modules/contrib/src/facerec.cpp b/modules/contrib/src/facerec.cpp
index ef32b5273a..170f636687 100644
--- a/modules/contrib/src/facerec.cpp
+++ b/modules/contrib/src/facerec.cpp
@@ -133,9 +133,51 @@ inline vector<_Tp> remove_dups(const vector<_Tp>& src) {
     return elems;
 }
 
+// This class was introduced to avoid an addition of new virtual functions in FaceRecognizer class.
+// It is safe for a binary compatibility.
+class FaceRecognizerBase : public FaceRecognizer
+{
+protected:
+    // Stored pairs "label id - string info"
+    std::map<int, string> _labelsInfo;
+
+public:
+    // Sets additional information as pairs label - info.
+    virtual void setLabelsInfo(const std::map<int, string>& labelsInfo);
+
+    // Gets string information by label
+    virtual string getLabelInfo(int label) const;
+
+    // Gets labels by string
+    virtual vector<int> getLabelsByString(const string& str);
+};
+
+void FaceRecognizerBase::setLabelsInfo(const std::map<int,string>& labelsInfo)
+{
+    _labelsInfo = labelsInfo;
+}
+
+string FaceRecognizerBase::getLabelInfo(int label) const
+{
+    std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
+    return iter != _labelsInfo.end() ? iter->second : "";
+}
+
+vector<int> FaceRecognizerBase::getLabelsByString(const string& str)
+{
+    vector<int> labels;
+    for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
+    {
+        size_t found = (it->second).find(str);
+        if(found != string::npos)
+            labels.push_back(it->first);
+    }
+    return labels;
+}
+
 // Turk, M., and Pentland, A. "Eigenfaces for recognition.". Journal of
 // Cognitive Neuroscience 3 (1991), 71–86.
-class Eigenfaces : public FaceRecognizer
+class Eigenfaces : public FaceRecognizerBase
 {
 private:
     int _num_components;
@@ -145,7 +187,6 @@ private:
     Mat _eigenvectors;
     Mat _eigenvalues;
     Mat _mean;
-    std::map<int, string> _labelsInfo;
 
 public:
     using FaceRecognizer::save;
@@ -182,15 +223,6 @@ public:
     // See FaceRecognizer::save.
     void save(FileStorage& fs) const;
 
-    // Sets additional information as pairs label - info.
-    void setLabelsInfo(const std::map<int,string>& labelsInfo);
-
-    // Gets string information by label
-    string getLabelInfo(int label) const;
-
-    // Gets labels by string
-    std::vector<int> getLabelsByString(const string& str);
-
     AlgorithmInfo* info() const;
 };
 
@@ -198,7 +230,7 @@ public:
 // faces: Recognition using class specific linear projection.". IEEE
 // Transactions on Pattern Analysis and Machine Intelligence 19, 7 (1997),
 // 711–720.
-class Fisherfaces: public FaceRecognizer
+class Fisherfaces: public FaceRecognizerBase
 {
 private:
     int _num_components;
@@ -208,7 +240,6 @@ private:
     Mat _mean;
     vector<Mat> _projections;
     Mat _labels;
-    std::map<int, string> _labelsInfo;
 
 public:
     using FaceRecognizer::save;
@@ -247,15 +278,6 @@ public:
     // See FaceRecognizer::save.
     void save(FileStorage& fs) const;
 
-    // Sets additional information as pairs label - info.
-    void setLabelsInfo(const std::map<int,string>& labelsInfo);
-
-    // Gets string information by label
-    string getLabelInfo(int label) const;
-
-    // Gets labels by string
-    std::vector<int> getLabelsByString(const string& str);
-
     AlgorithmInfo* info() const;
 };
 
@@ -265,7 +287,7 @@ public:
 //  patterns: Application to face recognition." IEEE Transactions on Pattern
 //  Analysis and Machine Intelligence, 28(12):2037-2041.
 //
-class LBPH : public FaceRecognizer
+class LBPH : public FaceRecognizerBase
 {
 private:
     int _grid_x;
@@ -276,14 +298,12 @@ private:
 
     vector<Mat> _histograms;
     Mat _labels;
-    std::map<int, string> _labelsInfo;
 
     // Computes a LBPH model with images in src and
     // corresponding labels in labels, possibly preserving
     // old model data.
     void train(InputArrayOfArrays src, InputArray labels, bool preserveData);
 
-
 public:
     using FaceRecognizer::save;
     using FaceRecognizer::load;
@@ -342,15 +362,6 @@ public:
     // See FaceRecognizer::save.
     void save(FileStorage& fs) const;
 
-    // Sets additional information as pairs label - info.
-    void setLabelsInfo(const std::map<int,string>& labelsInfo);
-
-    // Gets string information by label
-    string getLabelInfo(int label) const;
-
-    // Gets labels by string
-    std::vector<int> getLabelsByString(const string& str);
-
     // Getter functions.
     int neighbors() const { return _neighbors; }
     int radius() const { return _radius; }
@@ -391,6 +402,27 @@ void FaceRecognizer::load(const string& filename) {
     fs.release();
 }
 
+void FaceRecognizer::setLabelsInfo(const std::map<int, string>& labelsInfo)
+{
+    FaceRecognizerBase* base = dynamic_cast<FaceRecognizerBase*>(this);
+    CV_Assert(base != 0);
+    base->setLabelsInfo(labelsInfo);
+}
+
+string FaceRecognizer::getLabelInfo(const int &label)
+{
+    FaceRecognizerBase* base = dynamic_cast<FaceRecognizerBase*>(this);
+    CV_Assert(base != 0);
+    return base->getLabelInfo(label);
+}
+
+vector<int> FaceRecognizer::getLabelsByString(const string& str)
+{
+    FaceRecognizerBase* base = dynamic_cast<FaceRecognizerBase*>(this);
+    CV_Assert(base != 0);
+    return base->getLabelsByString(str);
+}
+
 //------------------------------------------------------------------------------
 // Eigenfaces
 //------------------------------------------------------------------------------
@@ -515,29 +547,6 @@ void Eigenfaces::save(FileStorage& fs) const {
     fs << "]";
 }
 
-void Eigenfaces::setLabelsInfo(const std::map<int,string>& labelsInfo)
-{
-    _labelsInfo = labelsInfo;
-}
-
-string Eigenfaces::getLabelInfo(int label) const
-{
-    std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
-    return iter != _labelsInfo.end() ? iter->second : "";
-}
-
-vector<int> Eigenfaces::getLabelsByString(const string& str)
-{
-    vector<int> labels;
-    for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
-    {
-        size_t found = (it->second).find(str);
-        if(found != string::npos)
-            labels.push_back(it->first);
-    }
-    return labels;
-}
-
 //------------------------------------------------------------------------------
 // Fisherfaces
 //------------------------------------------------------------------------------
@@ -675,29 +684,6 @@ void Fisherfaces::save(FileStorage& fs) const {
     fs << "]";
 }
 
-void Fisherfaces::setLabelsInfo(const std::map<int,string>& labelsInfo)
-{
-    _labelsInfo = labelsInfo;
-}
-
-string Fisherfaces::getLabelInfo(int label) const
-{
-    std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
-    return iter != _labelsInfo.end() ? iter->second : "";
-}
-
-vector<int> Fisherfaces::getLabelsByString(const string& str)
-{
-    vector<int> labels;
-    for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
-    {
-        size_t found = (it->second).find(str);
-        if(found != string::npos)
-            labels.push_back(it->first);
-    }
-    return labels;
-}
-
 //------------------------------------------------------------------------------
 // LBPH
 //------------------------------------------------------------------------------
@@ -911,29 +897,6 @@ void LBPH::save(FileStorage& fs) const {
     fs << "]";
 }
 
-void LBPH::setLabelsInfo(const std::map<int,string>& labelsInfo)
-{
-    _labelsInfo = labelsInfo;
-}
-
-string LBPH::getLabelInfo(int label) const
-{
-    std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
-    return iter != _labelsInfo.end() ? iter->second : "";
-}
-
-vector<int> LBPH::getLabelsByString(const string& str)
-{
-    vector<int> labels;
-    for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
-    {
-        size_t found = (it->second).find(str);
-        if(found != string::npos)
-            labels.push_back(it->first);
-    }
-    return labels;
-}
-
 void LBPH::train(InputArrayOfArrays _in_src, InputArray _in_labels) {
     this->train(_in_src, _in_labels, false);
 }
diff --git a/samples/cpp/facerec_demo.cpp b/samples/cpp/facerec_demo.cpp
index ef480c6df7..b92308e898 100644
--- a/samples/cpp/facerec_demo.cpp
+++ b/samples/cpp/facerec_demo.cpp
@@ -118,6 +118,7 @@ int main(int argc, const char *argv[]) {
     Ptr<FaceRecognizer> model = createEigenFaceRecognizer();
     model->setLabelsInfo(labelsInfo);
     model->train(images, labels);
+
     // The following line predicts the label of a given
     // test image:
     int predictedLabel = model->predict(testSample);

From 2f8b5731dabb3162ca62a0e1901bb13f0ed83e4c Mon Sep 17 00:00:00 2001
From: Pierre-Emmanuel Viel <p.emmanuel.viel@gmail.com>
Date: Wed, 21 May 2014 12:27:38 +0200
Subject: [PATCH 26/92] Fix local variable shadowing

---
 modules/flann/include/opencv2/flann/lsh_index.h | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/flann/include/opencv2/flann/lsh_index.h b/modules/flann/include/opencv2/flann/lsh_index.h
index 2530a0143a..23988d436a 100644
--- a/modules/flann/include/opencv2/flann/lsh_index.h
+++ b/modules/flann/include/opencv2/flann/lsh_index.h
@@ -118,8 +118,8 @@ public:
             if( (indices.size() == feature_size_ * CHAR_BIT) || (indices.size() < key_size_) )
             {
               indices.resize( feature_size_ * CHAR_BIT );
-              for (size_t i = 0; i < feature_size_ * CHAR_BIT; ++i)
-                  indices[i] = i;
+              for (size_t j = 0; j < feature_size_ * CHAR_BIT; ++j)
+                  indices[j] = j;
               std::random_shuffle(indices.begin(), indices.end());
             }
 

From ec99f96c6253240b10335ebcdc4018950df1bc20 Mon Sep 17 00:00:00 2001
From: Pierre-Emmanuel Viel <p.emmanuel.viel@gmail.com>
Date: Wed, 21 May 2014 13:16:12 +0200
Subject: [PATCH 27/92] Add the ensureSimpleDistance() method to ensure the
 user the returned distance is not ^2 (the default for L2 for instance)

---
 modules/flann/include/opencv2/flann/dist.h | 60 ++++++++++++++++++++++
 1 file changed, 60 insertions(+)

diff --git a/modules/flann/include/opencv2/flann/dist.h b/modules/flann/include/opencv2/flann/dist.h
index 2afceb8893..88f9abc305 100644
--- a/modules/flann/include/opencv2/flann/dist.h
+++ b/modules/flann/include/opencv2/flann/dist.h
@@ -872,6 +872,66 @@ typename Distance::ResultType ensureSquareDistance( typename Distance::ResultTyp
     return dummy( dist );
 }
 
+
+/*
+ * ...and a template to ensure the user that he will process the normal distance,
+ * and not squared distance, without loosing processing time calling sqrt(ensureSquareDistance)
+ * that will result in doing actually sqrt(dist*dist) for L1 distance for instance.
+ */
+template <typename Distance, typename ElementType>
+struct simpleDistance
+{
+    typedef typename Distance::ResultType ResultType;
+    ResultType operator()( ResultType dist ) { return dist; }
+};
+
+
+template <typename ElementType>
+struct simpleDistance<L2_Simple<ElementType>, ElementType>
+{
+    typedef typename L2_Simple<ElementType>::ResultType ResultType;
+    ResultType operator()( ResultType dist ) { return sqrt(dist); }
+};
+
+template <typename ElementType>
+struct simpleDistance<L2<ElementType>, ElementType>
+{
+    typedef typename L2<ElementType>::ResultType ResultType;
+    ResultType operator()( ResultType dist ) { return sqrt(dist); }
+};
+
+
+template <typename ElementType>
+struct simpleDistance<MinkowskiDistance<ElementType>, ElementType>
+{
+    typedef typename MinkowskiDistance<ElementType>::ResultType ResultType;
+    ResultType operator()( ResultType dist ) { return sqrt(dist); }
+};
+
+template <typename ElementType>
+struct simpleDistance<HellingerDistance<ElementType>, ElementType>
+{
+    typedef typename HellingerDistance<ElementType>::ResultType ResultType;
+    ResultType operator()( ResultType dist ) { return sqrt(dist); }
+};
+
+template <typename ElementType>
+struct simpleDistance<ChiSquareDistance<ElementType>, ElementType>
+{
+    typedef typename ChiSquareDistance<ElementType>::ResultType ResultType;
+    ResultType operator()( ResultType dist ) { return sqrt(dist); }
+};
+
+
+template <typename Distance>
+typename Distance::ResultType ensureSimpleDistance( typename Distance::ResultType dist )
+{
+    typedef typename Distance::ElementType ElementType;
+
+    simpleDistance<Distance, ElementType> dummy;
+    return dummy( dist );
+}
+
 }
 
 #endif //OPENCV_FLANN_DIST_H_

From 59c8edfd987a93f77cf862f14ab25b2d384132d7 Mon Sep 17 00:00:00 2001
From: Konstantin Matskevich <konstantin.matskevich@itseez.com>
Date: Wed, 28 May 2014 15:28:54 +0400
Subject: [PATCH 28/92] facerec2

---
 modules/contrib/doc/facerec/facerec_api.rst   |  2 +-
 .../include/opencv2/contrib/contrib.hpp       | 20 ++++++++++
 modules/contrib/src/facerec.cpp               | 37 +++++--------------
 3 files changed, 30 insertions(+), 29 deletions(-)

diff --git a/modules/contrib/doc/facerec/facerec_api.rst b/modules/contrib/doc/facerec/facerec_api.rst
index edb6edb1d5..3da37bdd17 100644
--- a/modules/contrib/doc/facerec/facerec_api.rst
+++ b/modules/contrib/doc/facerec/facerec_api.rst
@@ -79,7 +79,7 @@ Moreover every :ocv:class:`FaceRecognizer` supports the:
 
 * **Loading/Saving** the model state from/to a given XML or YAML.
 
-* **Setting/Getting labels info**, that is storaged as a string.
+* **Setting/Getting labels info**, that is storaged as a string. String labels info is useful for keeping names of the recognized people.
 
 .. note:: When using the FaceRecognizer interface in combination with Python, please stick to Python 2. Some underlying scripts like create_csv will not work in other versions, like Python 3.
 
diff --git a/modules/contrib/include/opencv2/contrib/contrib.hpp b/modules/contrib/include/opencv2/contrib/contrib.hpp
index 5684ee2422..f74d9ca49f 100644
--- a/modules/contrib/include/opencv2/contrib/contrib.hpp
+++ b/modules/contrib/include/opencv2/contrib/contrib.hpp
@@ -958,6 +958,26 @@ namespace cv
         vector<int> getLabelsByString(const string& str);
     };
 
+    // The FaceRecognizerBase class is introduced to keep the FaceRecognizer binary backward compatibility in 2.4
+    // In master setLabelInfo/getLabelInfo/getLabelsByString should be virtual and _labelsInfo should be moved to FaceRecognizer
+    // that allows to avoid FaceRecognizer2 in master
+    class FaceRecognizer2 : public FaceRecognizer
+    {
+    protected:
+        // Stored pairs "label id - string info"
+        std::map<int, string> _labelsInfo;
+
+    public:
+        // Sets additional information as pairs label - info.
+        virtual void setLabelsInfo(const std::map<int, string>& labelsInfo);
+
+        // Gets string information by label
+        virtual string getLabelInfo(int label) const;
+
+        // Gets labels by string
+        virtual vector<int> getLabelsByString(const string& str);
+    };
+
     CV_EXPORTS_W Ptr<FaceRecognizer> createEigenFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
     CV_EXPORTS_W Ptr<FaceRecognizer> createFisherFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
     CV_EXPORTS_W Ptr<FaceRecognizer> createLBPHFaceRecognizer(int radius=1, int neighbors=8,
diff --git a/modules/contrib/src/facerec.cpp b/modules/contrib/src/facerec.cpp
index 170f636687..f24e3ff4c4 100644
--- a/modules/contrib/src/facerec.cpp
+++ b/modules/contrib/src/facerec.cpp
@@ -133,37 +133,18 @@ inline vector<_Tp> remove_dups(const vector<_Tp>& src) {
     return elems;
 }
 
-// This class was introduced to avoid an addition of new virtual functions in FaceRecognizer class.
-// It is safe for a binary compatibility.
-class FaceRecognizerBase : public FaceRecognizer
-{
-protected:
-    // Stored pairs "label id - string info"
-    std::map<int, string> _labelsInfo;
-
-public:
-    // Sets additional information as pairs label - info.
-    virtual void setLabelsInfo(const std::map<int, string>& labelsInfo);
-
-    // Gets string information by label
-    virtual string getLabelInfo(int label) const;
-
-    // Gets labels by string
-    virtual vector<int> getLabelsByString(const string& str);
-};
-
-void FaceRecognizerBase::setLabelsInfo(const std::map<int,string>& labelsInfo)
+void FaceRecognizer2::setLabelsInfo(const std::map<int,string>& labelsInfo)
 {
     _labelsInfo = labelsInfo;
 }
 
-string FaceRecognizerBase::getLabelInfo(int label) const
+string FaceRecognizer2::getLabelInfo(int label) const
 {
     std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
     return iter != _labelsInfo.end() ? iter->second : "";
 }
 
-vector<int> FaceRecognizerBase::getLabelsByString(const string& str)
+vector<int> FaceRecognizer2::getLabelsByString(const string& str)
 {
     vector<int> labels;
     for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
@@ -177,7 +158,7 @@ vector<int> FaceRecognizerBase::getLabelsByString(const string& str)
 
 // Turk, M., and Pentland, A. "Eigenfaces for recognition.". Journal of
 // Cognitive Neuroscience 3 (1991), 71–86.
-class Eigenfaces : public FaceRecognizerBase
+class Eigenfaces : public FaceRecognizer2
 {
 private:
     int _num_components;
@@ -230,7 +211,7 @@ public:
 // faces: Recognition using class specific linear projection.". IEEE
 // Transactions on Pattern Analysis and Machine Intelligence 19, 7 (1997),
 // 711–720.
-class Fisherfaces: public FaceRecognizerBase
+class Fisherfaces: public FaceRecognizer2
 {
 private:
     int _num_components;
@@ -287,7 +268,7 @@ public:
 //  patterns: Application to face recognition." IEEE Transactions on Pattern
 //  Analysis and Machine Intelligence, 28(12):2037-2041.
 //
-class LBPH : public FaceRecognizerBase
+class LBPH : public FaceRecognizer2
 {
 private:
     int _grid_x;
@@ -404,21 +385,21 @@ void FaceRecognizer::load(const string& filename) {
 
 void FaceRecognizer::setLabelsInfo(const std::map<int, string>& labelsInfo)
 {
-    FaceRecognizerBase* base = dynamic_cast<FaceRecognizerBase*>(this);
+    FaceRecognizer2* base = dynamic_cast<FaceRecognizer2*>(this);
     CV_Assert(base != 0);
     base->setLabelsInfo(labelsInfo);
 }
 
 string FaceRecognizer::getLabelInfo(const int &label)
 {
-    FaceRecognizerBase* base = dynamic_cast<FaceRecognizerBase*>(this);
+    FaceRecognizer2* base = dynamic_cast<FaceRecognizer2*>(this);
     CV_Assert(base != 0);
     return base->getLabelInfo(label);
 }
 
 vector<int> FaceRecognizer::getLabelsByString(const string& str)
 {
-    FaceRecognizerBase* base = dynamic_cast<FaceRecognizerBase*>(this);
+    FaceRecognizer2* base = dynamic_cast<FaceRecognizer2*>(this);
     CV_Assert(base != 0);
     return base->getLabelsByString(str);
 }

From fc610979bb6597d9c8f986e32ed20cbde909f7b6 Mon Sep 17 00:00:00 2001
From: berak <px1704@web.de>
Date: Sat, 7 Jun 2014 16:34:53 +0200
Subject: [PATCH 29/92] export BOW to script wrappers

---
 .../include/opencv2/features2d/features2d.hpp | 37 ++++++++++---------
 1 file changed, 20 insertions(+), 17 deletions(-)

diff --git a/modules/features2d/include/opencv2/features2d/features2d.hpp b/modules/features2d/include/opencv2/features2d/features2d.hpp
index 7536128c71..7c04a22ea4 100644
--- a/modules/features2d/include/opencv2/features2d/features2d.hpp
+++ b/modules/features2d/include/opencv2/features2d/features2d.hpp
@@ -1528,17 +1528,17 @@ CV_EXPORTS void evaluateGenericDescriptorMatcher( const Mat& img1, const Mat& im
 /*
  * Abstract base class for training of a 'bag of visual words' vocabulary from a set of descriptors
  */
-class CV_EXPORTS BOWTrainer
+class CV_EXPORTS_W BOWTrainer
 {
 public:
     BOWTrainer();
     virtual ~BOWTrainer();
 
-    void add( const Mat& descriptors );
-    const vector<Mat>& getDescriptors() const;
-    int descripotorsCount() const;
+    CV_WRAP void add( const Mat& descriptors );
+    CV_WRAP const vector<Mat>& getDescriptors() const;
+    CV_WRAP int descripotorsCount() const;
 
-    virtual void clear();
+    CV_WRAP virtual void clear();
 
     /*
      * Train visual words vocabulary, that is cluster training descriptors and
@@ -1547,8 +1547,8 @@ public:
      *
      * descriptors      Training descriptors computed on images keypoints.
      */
-    virtual Mat cluster() const = 0;
-    virtual Mat cluster( const Mat& descriptors ) const = 0;
+    CV_WRAP virtual Mat cluster() const = 0;
+    CV_WRAP virtual Mat cluster( const Mat& descriptors ) const = 0;
 
 protected:
     vector<Mat> descriptors;
@@ -1558,16 +1558,16 @@ protected:
 /*
  * This is BOWTrainer using cv::kmeans to get vocabulary.
  */
-class CV_EXPORTS BOWKMeansTrainer : public BOWTrainer
+class CV_EXPORTS_W BOWKMeansTrainer : public BOWTrainer
 {
 public:
-    BOWKMeansTrainer( int clusterCount, const TermCriteria& termcrit=TermCriteria(),
+    CV_WRAP BOWKMeansTrainer( int clusterCount, const TermCriteria& termcrit=TermCriteria(),
                       int attempts=3, int flags=KMEANS_PP_CENTERS );
     virtual ~BOWKMeansTrainer();
 
     // Returns trained vocabulary (i.e. cluster centers).
-    virtual Mat cluster() const;
-    virtual Mat cluster( const Mat& descriptors ) const;
+    CV_WRAP virtual Mat cluster() const;
+    CV_WRAP virtual Mat cluster( const Mat& descriptors ) const;
 
 protected:
 
@@ -1580,21 +1580,24 @@ protected:
 /*
  * Class to compute image descriptor using bag of visual words.
  */
-class CV_EXPORTS BOWImgDescriptorExtractor
+class CV_EXPORTS_W BOWImgDescriptorExtractor
 {
 public:
-    BOWImgDescriptorExtractor( const Ptr<DescriptorExtractor>& dextractor,
+    CV_WRAP BOWImgDescriptorExtractor( const Ptr<DescriptorExtractor>& dextractor,
                                const Ptr<DescriptorMatcher>& dmatcher );
     virtual ~BOWImgDescriptorExtractor();
 
-    void setVocabulary( const Mat& vocabulary );
-    const Mat& getVocabulary() const;
+    CV_WRAP void setVocabulary( const Mat& vocabulary );
+    CV_WRAP const Mat& getVocabulary() const;
     void compute( const Mat& image, vector<KeyPoint>& keypoints, Mat& imgDescriptor,
                   vector<vector<int> >* pointIdxsOfClusters=0, Mat* descriptors=0 );
     // compute() is not constant because DescriptorMatcher::match is not constant
 
-    int descriptorSize() const;
-    int descriptorType() const;
+    CV_WRAP_AS(compute) void compute2( const Mat& image, vector<KeyPoint>& keypoints, Mat& imgDescriptor )
+    { compute(image,keypoints,imgDescriptor); }
+
+    CV_WRAP int descriptorSize() const;
+    CV_WRAP int descriptorType() const;
 
 protected:
     Mat vocabulary;

From 02b32d86d342083dbc4327300a94f0bf7cb5b48f Mon Sep 17 00:00:00 2001
From: Andrey Pavlenko <andrey.pavlenko@itseez.com>
Date: Mon, 9 Jun 2014 13:26:45 +0400
Subject: [PATCH 30/92] moving FaceRecognizer2 from public header to .cpp

---
 .../include/opencv2/contrib/contrib.hpp       |  20 ---
 modules/contrib/src/facerec.cpp               | 117 ++++++++++--------
 2 files changed, 67 insertions(+), 70 deletions(-)

diff --git a/modules/contrib/include/opencv2/contrib/contrib.hpp b/modules/contrib/include/opencv2/contrib/contrib.hpp
index f74d9ca49f..5684ee2422 100644
--- a/modules/contrib/include/opencv2/contrib/contrib.hpp
+++ b/modules/contrib/include/opencv2/contrib/contrib.hpp
@@ -958,26 +958,6 @@ namespace cv
         vector<int> getLabelsByString(const string& str);
     };
 
-    // The FaceRecognizerBase class is introduced to keep the FaceRecognizer binary backward compatibility in 2.4
-    // In master setLabelInfo/getLabelInfo/getLabelsByString should be virtual and _labelsInfo should be moved to FaceRecognizer
-    // that allows to avoid FaceRecognizer2 in master
-    class FaceRecognizer2 : public FaceRecognizer
-    {
-    protected:
-        // Stored pairs "label id - string info"
-        std::map<int, string> _labelsInfo;
-
-    public:
-        // Sets additional information as pairs label - info.
-        virtual void setLabelsInfo(const std::map<int, string>& labelsInfo);
-
-        // Gets string information by label
-        virtual string getLabelInfo(int label) const;
-
-        // Gets labels by string
-        virtual vector<int> getLabelsByString(const string& str);
-    };
-
     CV_EXPORTS_W Ptr<FaceRecognizer> createEigenFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
     CV_EXPORTS_W Ptr<FaceRecognizer> createFisherFaceRecognizer(int num_components = 0, double threshold = DBL_MAX);
     CV_EXPORTS_W Ptr<FaceRecognizer> createLBPHFaceRecognizer(int radius=1, int neighbors=8,
diff --git a/modules/contrib/src/facerec.cpp b/modules/contrib/src/facerec.cpp
index f24e3ff4c4..3f8aafbdae 100644
--- a/modules/contrib/src/facerec.cpp
+++ b/modules/contrib/src/facerec.cpp
@@ -18,41 +18,6 @@
 #include "precomp.hpp"
 #include <set>
 
-struct LabelInfo
-{
-    LabelInfo():label(-1), value("") {}
-    LabelInfo(int _label, const std::string &_value): label(_label), value(_value) {}
-    int label;
-    std::string value;
-    void write(cv::FileStorage& fs) const
-    {
-        fs << "{" << "label" << label << "value" << value << "}";
-    }
-    void read(const cv::FileNode& node)
-    {
-        label = (int)node["label"];
-        value = (std::string)node["value"];
-    }
-    std::ostream& operator<<(std::ostream& out)
-    {
-        out << "{ label = " << label << ", " << "value = " << value << "}";
-        return out;
-    }
-};
-
-static void write(cv::FileStorage& fs, const std::string&, const LabelInfo& x)
-{
-    x.write(fs);
-}
-
-static void read(const cv::FileNode& node, LabelInfo& x, const LabelInfo& default_value = LabelInfo())
-{
-    if(node.empty())
-        x = default_value;
-    else
-        x.read(node);
-}
-
 namespace cv
 {
 
@@ -133,29 +98,81 @@ inline vector<_Tp> remove_dups(const vector<_Tp>& src) {
     return elems;
 }
 
-void FaceRecognizer2::setLabelsInfo(const std::map<int,string>& labelsInfo)
+// The FaceRecognizer2 class is introduced to keep the FaceRecognizer binary backward compatibility in 2.4
+// In master setLabelInfo/getLabelInfo/getLabelsByString should be virtual and _labelsInfo should be moved
+// to FaceRecognizer, that allows to avoid FaceRecognizer2 in master
+class FaceRecognizer2 : public FaceRecognizer
 {
-    _labelsInfo = labelsInfo;
-}
+protected:
+    // Stored pairs "label id - string info"
+    std::map<int, string> _labelsInfo;
 
-string FaceRecognizer2::getLabelInfo(int label) const
-{
-    std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
-    return iter != _labelsInfo.end() ? iter->second : "";
-}
+public:
+    // Sets additional information as pairs label - info.
+    virtual void setLabelsInfo(const std::map<int, string>& labelsInfo)
+    {
+        _labelsInfo = labelsInfo;
+    }
 
-vector<int> FaceRecognizer2::getLabelsByString(const string& str)
+    // Gets string information by label
+    virtual string getLabelInfo(int label) const
+    {
+        std::map<int, string>::const_iterator iter(_labelsInfo.find(label));
+        return iter != _labelsInfo.end() ? iter->second : "";
+    }
+
+    // Gets labels by string
+    virtual vector<int> getLabelsByString(const string& str)
+    {
+        vector<int> labels;
+        for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
+        {
+            size_t found = (it->second).find(str);
+            if(found != string::npos)
+                labels.push_back(it->first);
+        }
+        return labels;
+    }
+
+};
+
+// Utility structure to load/save face label info (a pair of int and string) via FileStorage
+struct LabelInfo
 {
-    vector<int> labels;
-    for(std::map<int,string>::const_iterator it = _labelsInfo.begin(); it != _labelsInfo.end(); it++)
+    LabelInfo():label(-1), value("") {}
+    LabelInfo(int _label, const std::string &_value): label(_label), value(_value) {}
+    int label;
+    std::string value;
+    void write(cv::FileStorage& fs) const
     {
-        size_t found = (it->second).find(str);
-        if(found != string::npos)
-            labels.push_back(it->first);
+        fs << "{" << "label" << label << "value" << value << "}";
     }
-    return labels;
+    void read(const cv::FileNode& node)
+    {
+        label = (int)node["label"];
+        value = (std::string)node["value"];
+    }
+    std::ostream& operator<<(std::ostream& out)
+    {
+        out << "{ label = " << label << ", " << "value = " << value << "}";
+        return out;
+    }
+};
+
+static void write(cv::FileStorage& fs, const std::string&, const LabelInfo& x)
+{
+    x.write(fs);
+}
+
+static void read(const cv::FileNode& node, LabelInfo& x, const LabelInfo& default_value = LabelInfo())
+{
+    if(node.empty())
+        x = default_value;
+    else
+        x.read(node);
 }
 
+
 // Turk, M., and Pentland, A. "Eigenfaces for recognition.". Journal of
 // Cognitive Neuroscience 3 (1991), 71–86.
 class Eigenfaces : public FaceRecognizer2

From 4d0848b3e879789b523a98fe16ef134556641ca0 Mon Sep 17 00:00:00 2001
From: Alexander Alekhin <alexander.alekhin@itseez.com>
Date: Tue, 10 Jun 2014 18:12:38 +0400
Subject: [PATCH 31/92] fix -Wmaybe-uninitialized warning (initialize pointers
 to NULL)

---
 modules/python/src2/gen.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/modules/python/src2/gen.py b/modules/python/src2/gen.py
index 40879e569f..d43a8023f2 100755
--- a/modules/python/src2/gen.py
+++ b/modules/python/src2/gen.py
@@ -153,6 +153,8 @@ def gen(name, args, ty, flags):
       ctype = remap.get(a.ty, a.ty)
       if a.init:
         init = " = %s" % a.init
+      elif ctype[-1] == '*':
+        init = ' = NULL'
       else:
         init = ''
       yield "  %s %s%s;" % (ctype, a.nm, init)

From 3500c940d47c0fa6c9d4c281824d20ecb8385a5c Mon Sep 17 00:00:00 2001
From: berak <px1704@web.de>
Date: Wed, 11 Jun 2014 11:50:22 +0200
Subject: [PATCH 32/92] add Bag of Words to python wrapper

---
 modules/features2d/include/opencv2/features2d/features2d.hpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/features2d/include/opencv2/features2d/features2d.hpp b/modules/features2d/include/opencv2/features2d/features2d.hpp
index 7c04a22ea4..02e65315e2 100644
--- a/modules/features2d/include/opencv2/features2d/features2d.hpp
+++ b/modules/features2d/include/opencv2/features2d/features2d.hpp
@@ -1593,7 +1593,7 @@ public:
                   vector<vector<int> >* pointIdxsOfClusters=0, Mat* descriptors=0 );
     // compute() is not constant because DescriptorMatcher::match is not constant
 
-    CV_WRAP_AS(compute) void compute2( const Mat& image, vector<KeyPoint>& keypoints, Mat& imgDescriptor )
+    CV_WRAP_AS(compute) void compute2( const Mat& image, vector<KeyPoint>& keypoints, CV_OUT Mat& imgDescriptor )
     { compute(image,keypoints,imgDescriptor); }
 
     CV_WRAP int descriptorSize() const;

From b6e25a9fc7b6fe511be1cd6f47ca2b45bbb51658 Mon Sep 17 00:00:00 2001
From: Neo Alienson <neo@orz.hk>
Date: Mon, 16 Jun 2014 18:48:10 +0800
Subject: [PATCH 33/92] Fix typos

---
 .../introduction/android_binary_package/android_dev_intro.rst | 2 +-
 modules/highgui/src/cap_libv4l.cpp                            | 4 ++--
 .../src/org/opencv/samples/puzzle15/Puzzle15Activity.java     | 2 +-
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/doc/tutorials/introduction/android_binary_package/android_dev_intro.rst b/doc/tutorials/introduction/android_binary_package/android_dev_intro.rst
index 9545bee286..8c470925ff 100644
--- a/doc/tutorials/introduction/android_binary_package/android_dev_intro.rst
+++ b/doc/tutorials/introduction/android_binary_package/android_dev_intro.rst
@@ -5,7 +5,7 @@
 Introduction into Android Development
 *************************************
 
-This guide was designed to help you in learning Android development basics and seting up your
+This guide was designed to help you in learning Android development basics and setting up your
 working environment quickly. It was written with Windows 7 in mind, though it would work with Linux
 (Ubuntu), Mac OS X and any other OS supported by Android SDK.
 
diff --git a/modules/highgui/src/cap_libv4l.cpp b/modules/highgui/src/cap_libv4l.cpp
index e7aa5b5dfe..a05c4b2123 100644
--- a/modules/highgui/src/cap_libv4l.cpp
+++ b/modules/highgui/src/cap_libv4l.cpp
@@ -158,12 +158,12 @@ the symptoms were damaged image and 'Corrupt JPEG data: premature end of data se
 
 11th patch: Apr 13, 2010, Filipe Almeida filipe.almeida@ist.utl.pt
 - Tries to setup all properties first through v4l2_ioctl call.
-- Allows seting up all Video4Linux properties through cvSetCaptureProperty instead of only CV_CAP_PROP_BRIGHTNESS, CV_CAP_PROP_CONTRAST, CV_CAP_PROP_SATURATION, CV_CAP_PROP_HUE, CV_CAP_PROP_GAIN and CV_CAP_PROP_EXPOSURE.
+- Allows setting up all Video4Linux properties through cvSetCaptureProperty instead of only CV_CAP_PROP_BRIGHTNESS, CV_CAP_PROP_CONTRAST, CV_CAP_PROP_SATURATION, CV_CAP_PROP_HUE, CV_CAP_PROP_GAIN and CV_CAP_PROP_EXPOSURE.
 
 12th patch: Apr 16, 2010, Filipe Almeida filipe.almeida@ist.utl.pt
 - CvCaptureCAM_V4L structure cleanup (no longer needs <PROPERTY>_{min,max,} variables)
 - Introduction of v4l2_ctrl_range - minimum and maximum allowed values for v4l controls
-- Allows seting up all Video4Linux properties through cvSetCaptureProperty using input values between 0.0 and 1.0
+- Allows setting up all Video4Linux properties through cvSetCaptureProperty using input values between 0.0 and 1.0
 - Gets v4l properties first through v4l2_ioctl call (ignores capture->is_v4l2_device)
 - cvGetCaptureProperty adjusted to support the changes
 - Returns device properties to initial values after device closes
diff --git a/samples/android/15-puzzle/src/org/opencv/samples/puzzle15/Puzzle15Activity.java b/samples/android/15-puzzle/src/org/opencv/samples/puzzle15/Puzzle15Activity.java
index ebd34fc7e2..e82f0f9236 100644
--- a/samples/android/15-puzzle/src/org/opencv/samples/puzzle15/Puzzle15Activity.java
+++ b/samples/android/15-puzzle/src/org/opencv/samples/puzzle15/Puzzle15Activity.java
@@ -56,7 +56,7 @@ public class Puzzle15Activity extends Activity implements CvCameraViewListener,
         super.onCreate(savedInstanceState);
         getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);
 
-        Log.d(TAG, "Creating and seting view");
+        Log.d(TAG, "Creating and setting view");
         mOpenCvCameraView = (CameraBridgeViewBase) new JavaCameraView(this, -1);
         setContentView(mOpenCvCameraView);
         mOpenCvCameraView.setCvCameraViewListener(this);

From 660d7cd3aeb06c4eba5d498ab3b2ec069ae5326c Mon Sep 17 00:00:00 2001
From: Daniel Angelov <dani_angelov@yahoo.com>
Date: Mon, 16 Jun 2014 13:05:17 +0100
Subject: [PATCH 34/92] Updated findHomography docs branch 2.4

Updated the documents to give warning to the users of `findHomography` that the function may return an empty matrix in some cases.
The user must take care of checking that.
---
 .../calib3d/doc/camera_calibration_and_3d_reconstruction.rst  | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
index 8afc5ce39b..d616dfdea2 100644
--- a/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
+++ b/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst
@@ -746,7 +746,7 @@ is minimized. If the parameter ``method`` is set to the default value 0, the fun
 uses all the point pairs to compute an initial homography estimate with a simple least-squares scheme.
 
 However, if not all of the point pairs (
-:math:`srcPoints_i`,:math:`dstPoints_i` ) fit the rigid perspective transformation (that is, there
+:math:`srcPoints_i`, :math:`dstPoints_i` ) fit the rigid perspective transformation (that is, there
 are some outliers), this initial estimate will be poor.
 In this case, you can use one of the two robust methods. Both methods, ``RANSAC`` and ``LMeDS`` , try many different random subsets
 of the corresponding point pairs (of four pairs each), estimate
@@ -769,7 +769,7 @@ if there are no outliers and the noise is rather small, use the default method (
 
 The function is used to find initial intrinsic and extrinsic matrices.
 Homography matrix is determined up to a scale. Thus, it is normalized so that
-:math:`h_{33}=1` .
+:math:`h_{33}=1`. Note that whenever an H matrix cannot be estimated, an empty one will be returned.
 
 .. seealso::
 

From 05e0b3b7e6bf24f1f245ad9a54f1ce71c8784ff7 Mon Sep 17 00:00:00 2001
From: Marc Rollins <mrollins@gravityjack.com>
Date: Thu, 19 Jun 2014 14:14:10 -0700
Subject: [PATCH 35/92] Fixing build error when using post-increment operator.

---
 modules/core/include/opencv2/core/mat.hpp | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/core/include/opencv2/core/mat.hpp b/modules/core/include/opencv2/core/mat.hpp
index 45c25900c3..8a3167a032 100644
--- a/modules/core/include/opencv2/core/mat.hpp
+++ b/modules/core/include/opencv2/core/mat.hpp
@@ -2564,7 +2564,7 @@ SparseMatConstIterator_<_Tp>::operator ++()
 template<typename _Tp> inline SparseMatConstIterator_<_Tp>
 SparseMatConstIterator_<_Tp>::operator ++(int)
 {
-    SparseMatConstIterator it = *this;
+    SparseMatConstIterator_<_Tp> it = *this;
     SparseMatConstIterator::operator ++();
     return it;
 }
@@ -2608,7 +2608,7 @@ SparseMatIterator_<_Tp>::operator ++()
 template<typename _Tp> inline SparseMatIterator_<_Tp>
 SparseMatIterator_<_Tp>::operator ++(int)
 {
-    SparseMatIterator it = *this;
+    SparseMatIterator_<_Tp> it = *this;
     SparseMatConstIterator::operator ++();
     return it;
 }

From 84bb77e9140e6d566a689566548fc01c6b5d8e55 Mon Sep 17 00:00:00 2001
From: Ilya Krylov <ilya.krylov@itseez.com>
Date: Mon, 23 Jun 2014 17:06:40 +0400
Subject: [PATCH 36/92] Fixed android and windows x64 build issues

---
 modules/calib3d/src/fisheye.cpp       | 74 +++++++++++++--------------
 modules/calib3d/test/test_fisheye.cpp |  2 +-
 2 files changed, 38 insertions(+), 38 deletions(-)

diff --git a/modules/calib3d/src/fisheye.cpp b/modules/calib3d/src/fisheye.cpp
index 66cf589564..77a0e84288 100644
--- a/modules/calib3d/src/fisheye.cpp
+++ b/modules/calib3d/src/fisheye.cpp
@@ -309,47 +309,47 @@ void cv::fisheye::distortPoints(InputArray undistorted, OutputArray distorted, I
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
 /// cv::fisheye::undistortPoints
 
-void cv::fisheye::undistortPoints( InputArray distorted, OutputArray undistorted, InputArray _K, InputArray _D, InputArray _R, InputArray _P)
+void cv::fisheye::undistortPoints( InputArray distorted, OutputArray undistorted, InputArray K, InputArray D, InputArray R, InputArray P)
 {
     // will support only 2-channel data now for points
     CV_Assert(distorted.type() == CV_32FC2 || distorted.type() == CV_64FC2);
     undistorted.create(distorted.size(), distorted.type());
 
-    CV_Assert(_P.empty() || _P.size() == Size(3, 3) || _P.size() == Size(4, 3));
-    CV_Assert(_R.empty() || _R.size() == Size(3, 3) || _R.total() * _R.channels() == 3);
-    CV_Assert(_D.total() == 4 && _K.size() == Size(3, 3) && (_K.depth() == CV_32F || _K.depth() == CV_64F));
+    CV_Assert(P.empty() || P.size() == Size(3, 3) || P.size() == Size(4, 3));
+    CV_Assert(R.empty() || R.size() == Size(3, 3) || R.total() * R.channels() == 3);
+    CV_Assert(D.total() == 4 && K.size() == Size(3, 3) && (K.depth() == CV_32F || K.depth() == CV_64F));
 
     cv::Vec2d f, c;
-    if (_K.depth() == CV_32F)
+    if (K.depth() == CV_32F)
     {
-        Matx33f camMat = _K.getMat();
+        Matx33f camMat = K.getMat();
         f = Vec2f(camMat(0, 0), camMat(1, 1));
         c = Vec2f(camMat(0, 2), camMat(1, 2));
     }
     else
     {
-        Matx33d camMat = _K.getMat();
+        Matx33d camMat = K.getMat();
         f = Vec2d(camMat(0, 0), camMat(1, 1));
         c = Vec2d(camMat(0, 2), camMat(1, 2));
     }
 
-    Vec4d k = _D.depth() == CV_32F ? (Vec4d)*_D.getMat().ptr<Vec4f>(): *_D.getMat().ptr<Vec4d>();
+    Vec4d k = D.depth() == CV_32F ? (Vec4d)*D.getMat().ptr<Vec4f>(): *D.getMat().ptr<Vec4d>();
 
     cv::Matx33d RR = cv::Matx33d::eye();
-    if (!_R.empty() && _R.total() * _R.channels() == 3)
+    if (!R.empty() && R.total() * R.channels() == 3)
     {
         cv::Vec3d rvec;
-        _R.getMat().convertTo(rvec, CV_64F);
+        R.getMat().convertTo(rvec, CV_64F);
         RR = cv::Affine3d(rvec).rotation();
     }
-    else if (!_R.empty() && _R.size() == Size(3, 3))
-        _R.getMat().convertTo(RR, CV_64F);
+    else if (!R.empty() && R.size() == Size(3, 3))
+        R.getMat().convertTo(RR, CV_64F);
 
-    if(!_P.empty())
+    if(!P.empty())
     {
-        cv::Matx33d P;
-        _P.getMat().colRange(0, 3).convertTo(P, CV_64F);
-        RR = P * RR;
+        cv::Matx33d PP;
+        P.getMat().colRange(0, 3).convertTo(PP, CV_64F);
+        RR = PP * RR;
     }
 
     // start undistorting
@@ -398,52 +398,52 @@ void cv::fisheye::undistortPoints( InputArray distorted, OutputArray undistorted
 //////////////////////////////////////////////////////////////////////////////////////////////////////////////
 /// cv::fisheye::undistortPoints
 
-void cv::fisheye::initUndistortRectifyMap( InputArray _K, InputArray _D, InputArray _R, InputArray _P,
+void cv::fisheye::initUndistortRectifyMap( InputArray K, InputArray D, InputArray R, InputArray P,
     const cv::Size& size, int m1type, OutputArray map1, OutputArray map2 )
 {
     CV_Assert( m1type == CV_16SC2 || m1type == CV_32F || m1type <=0 );
     map1.create( size, m1type <= 0 ? CV_16SC2 : m1type );
     map2.create( size, map1.type() == CV_16SC2 ? CV_16UC1 : CV_32F );
 
-    CV_Assert((_K.depth() == CV_32F || _K.depth() == CV_64F) && (_D.depth() == CV_32F || _D.depth() == CV_64F));
-    CV_Assert((_P.depth() == CV_32F || _P.depth() == CV_64F) && (_R.depth() == CV_32F || _R.depth() == CV_64F));
-    CV_Assert(_K.size() == Size(3, 3) && (_D.empty() || _D.total() == 4));
-    CV_Assert(_R.empty() || _R.size() == Size(3, 3) || _R.total() * _R.channels() == 3);
-    CV_Assert(_P.empty() || _P.size() == Size(3, 3) || _P.size() == Size(4, 3));
+    CV_Assert((K.depth() == CV_32F || K.depth() == CV_64F) && (D.depth() == CV_32F || D.depth() == CV_64F));
+    CV_Assert((P.depth() == CV_32F || P.depth() == CV_64F) && (R.depth() == CV_32F || R.depth() == CV_64F));
+    CV_Assert(K.size() == Size(3, 3) && (D.empty() || D.total() == 4));
+    CV_Assert(R.empty() || R.size() == Size(3, 3) || R.total() * R.channels() == 3);
+    CV_Assert(P.empty() || P.size() == Size(3, 3) || P.size() == Size(4, 3));
 
     cv::Vec2d f, c;
-    if (_K.depth() == CV_32F)
+    if (K.depth() == CV_32F)
     {
-        Matx33f camMat = _K.getMat();
+        Matx33f camMat = K.getMat();
         f = Vec2f(camMat(0, 0), camMat(1, 1));
         c = Vec2f(camMat(0, 2), camMat(1, 2));
     }
     else
     {
-        Matx33d camMat = _K.getMat();
+        Matx33d camMat = K.getMat();
         f = Vec2d(camMat(0, 0), camMat(1, 1));
         c = Vec2d(camMat(0, 2), camMat(1, 2));
     }
 
     Vec4d k = Vec4d::all(0);
-    if (!_D.empty())
-        k = _D.depth() == CV_32F ? (Vec4d)*_D.getMat().ptr<Vec4f>(): *_D.getMat().ptr<Vec4d>();
+    if (!D.empty())
+        k = D.depth() == CV_32F ? (Vec4d)*D.getMat().ptr<Vec4f>(): *D.getMat().ptr<Vec4d>();
 
-    cv::Matx33d R  = cv::Matx33d::eye();
-    if (!_R.empty() && _R.total() * _R.channels() == 3)
+    cv::Matx33d RR  = cv::Matx33d::eye();
+    if (!R.empty() && R.total() * R.channels() == 3)
     {
         cv::Vec3d rvec;
-        _R.getMat().convertTo(rvec, CV_64F);
-        R = Affine3d(rvec).rotation();
+        R.getMat().convertTo(rvec, CV_64F);
+        RR = Affine3d(rvec).rotation();
     }
-    else if (!_R.empty() && _R.size() == Size(3, 3))
-        _R.getMat().convertTo(R, CV_64F);
+    else if (!R.empty() && R.size() == Size(3, 3))
+        R.getMat().convertTo(RR, CV_64F);
 
-    cv::Matx33d P = cv::Matx33d::eye();
-    if (!_P.empty())
-        _P.getMat().colRange(0, 3).convertTo(P, CV_64F);
+    cv::Matx33d PP = cv::Matx33d::eye();
+    if (!P.empty())
+        P.getMat().colRange(0, 3).convertTo(PP, CV_64F);
 
-    cv::Matx33d iR = (P * R).inv(cv::DECOMP_SVD);
+    cv::Matx33d iR = (PP * RR).inv(cv::DECOMP_SVD);
 
     for( int i = 0; i < size.height; ++i)
     {
diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index 2749a1a6e3..774364df79 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -149,7 +149,7 @@ TEST_F(fisheyeTest, jacobians)
     cv::Mat k(4, 1, CV_64F);
     double alpha;
 
-    cv::RNG& r = cv::theRNG();
+    cv::RNG r;
 
     r.fill(X, cv::RNG::NORMAL, 2, 1);
     X = cv::abs(X) * 10;

From 98421e5970819c652a940fd28937c205ca27dba7 Mon Sep 17 00:00:00 2001
From: Nisarg Thakkar <nisargtha@gmail.com>
Date: Mon, 23 Jun 2014 20:15:23 +0530
Subject: [PATCH 37/92] Fix for Bug#3757: All dimension values are 0 after
 release is called

---
 modules/core/include/opencv2/core/mat.hpp | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/modules/core/include/opencv2/core/mat.hpp b/modules/core/include/opencv2/core/mat.hpp
index 45c25900c3..90e7de099a 100644
--- a/modules/core/include/opencv2/core/mat.hpp
+++ b/modules/core/include/opencv2/core/mat.hpp
@@ -366,7 +366,8 @@ inline void Mat::release()
     if( refcount && CV_XADD(refcount, -1) == 1 )
         deallocate();
     data = datastart = dataend = datalimit = 0;
-    size.p[0] = 0;
+    for(int i = 0; i < dims; i++)
+        size.p[i] = 0;
     refcount = 0;
 }
 

From f45da9866a94dbf52f5fb955bea67fce913ca515 Mon Sep 17 00:00:00 2001
From: Jasper <jaspershemilt@virginmedia.co.uk>
Date: Tue, 24 Jun 2014 11:52:56 +0100
Subject: [PATCH 38/92] Fix for VTK6.2 issue.

---
 modules/viz/src/vtk/vtkCocoaInteractorFix.mm | 235 +++++++++++++------
 1 file changed, 167 insertions(+), 68 deletions(-)

diff --git a/modules/viz/src/vtk/vtkCocoaInteractorFix.mm b/modules/viz/src/vtk/vtkCocoaInteractorFix.mm
index dad41b073e..481baf96ba 100644
--- a/modules/viz/src/vtk/vtkCocoaInteractorFix.mm
+++ b/modules/viz/src/vtk/vtkCocoaInteractorFix.mm
@@ -1,48 +1,54 @@
 /*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-// Authors:
-//  * Anatoly Baksheev, Itseez Inc.  myname.mysurname <> mycompany.com
-//
-//  This workaround code was taken from PCL library(www.pointclouds.org)
-//
-//M*/
+ //
+ //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
+ //
+ //  By downloading, copying, installing or using the software you agree to this license.
+ //  If you do not agree to this license, do not download, install,
+ //  copy or use the software.
+ //
+ //
+ //                           License Agreement
+ //                For Open Source Computer Vision Library
+ //
+ // Copyright (C) 2013, OpenCV Foundation, all rights reserved.
+ // Third party copyrights are property of their respective owners.
+ //
+ // Redistribution and use in source and binary forms, with or without modification,
+ // are permitted provided that the following conditions are met:
+ //
+ //   * Redistribution's of source code must retain the above copyright notice,
+ //     this list of conditions and the following disclaimer.
+ //
+ //   * Redistribution's in binary form must reproduce the above copyright notice,
+ //     this list of conditions and the following disclaimer in the documentation
+ //     and/or other materials provided with the distribution.
+ //
+ //   * The name of the copyright holders may not be used to endorse or promote products
+ //     derived from this software without specific prior written permission.
+ //
+ // This software is provided by the copyright holders and contributors "as is" and
+ // any express or implied warranties, including, but not limited to, the implied
+ // warranties of merchantability and fitness for a particular purpose are disclaimed.
+ // In no event shall the Intel Corporation or contributors be liable for any direct,
+ // indirect, incidental, special, exemplary, or consequential damages
+ // (including, but not limited to, procurement of substitute goods or services;
+ // loss of use, data, or profits; or business interruption) however caused
+ // and on any theory of liability, whether in contract, strict liability,
+ // or tort (including negligence or otherwise) arising in any way out of
+ // the use of this software, even if advised of the possibility of such damage.
+ //
+ // Authors:
+ //  * Anatoly Baksheev, Itseez Inc.  myname.mysurname <> mycompany.com
+ //
+ //  This workaround code was taken from PCL library(www.pointclouds.org)
+ //
+ //  Modified by Jasper Shemilt to work with VTK 6.2
+ //  The fix was needed because GetCocoaServer has been moved from
+ //  vtkCocoaRenderWindowInteractor to vtkCocoaRenderWindow in VTK 6.2.
+ //  This alteration to VTK happened almost a year ago according to the gitHub
+ //  commit a3e9fc9.
+ //
+ //M*/
 
 #import <Cocoa/Cocoa.h>
 #include <vtkCocoaRenderWindow.h>
@@ -118,14 +124,14 @@
     [application stop:application];
 
     NSEvent *event = [NSEvent otherEventWithType:NSApplicationDefined
-            location:NSMakePoint(0.0,0.0)
-            modifierFlags:0
-            timestamp:0
-            windowNumber:-1
-            context:nil
-            subtype:0
-            data1:0
-            data2:0];
+                                        location:NSMakePoint(0.0,0.0)
+                                   modifierFlags:0
+                                       timestamp:0
+                                    windowNumber:-1
+                                         context:nil
+                                         subtype:0
+                                           data1:0
+                                           data2:0];
     [application postEvent:event atStart:YES];
 }
 
@@ -154,30 +160,121 @@
 
 //----------------------------------------------------------------------------
 
+#if VTK_MAJOR_VERSION >= 6 && VTK_MINOR_VERSION  >=2
+
 namespace cv { namespace viz
+    {
+        class vtkCocoaRenderWindowInteractorFix : public vtkCocoaRenderWindowInteractor
+        {
+        public:
+            static vtkCocoaRenderWindowInteractorFix *New ();
+            vtkTypeMacro (vtkCocoaRenderWindowInteractorFix, vtkCocoaRenderWindowInteractor)
+
+            virtual void Start ();
+            virtual void TerminateApp ();
+
+        protected:
+            vtkCocoaRenderWindowInteractorFix () {}
+            ~vtkCocoaRenderWindowInteractorFix () {}
+
+        private:
+            vtkCocoaRenderWindowInteractorFix (const vtkCocoaRenderWindowInteractorFix&);  // Not implemented.
+            void operator = (const vtkCocoaRenderWindowInteractorFix&);  // Not implemented.
+        };
+
+        vtkStandardNewMacro (vtkCocoaRenderWindowInteractorFix)
+
+        vtkSmartPointer<vtkRenderWindowInteractor> vtkCocoaRenderWindowInteractorNew();
+
+        class vtkCocoaRenderWindowFix : public vtkCocoaRenderWindow
+        {
+        public:
+            static vtkCocoaRenderWindowFix *New ();
+            vtkTypeMacro ( vtkCocoaRenderWindowFix, vtkCocoaRenderWindow)
+
+            virtual vtkCocoaServerFix * GetCocoaServer ();
+            virtual void SetCocoaServer (void* );
+
+        protected:
+            vtkCocoaRenderWindowFix () {}
+            ~vtkCocoaRenderWindowFix () {}
+
+        private:
+            vtkCocoaRenderWindowFix (const vtkCocoaRenderWindowInteractorFix&);  // Not implemented.
+            void operator = (const vtkCocoaRenderWindowFix&);  // Not implemented.
+        };
+
+        vtkStandardNewMacro (vtkCocoaRenderWindowFix)
+
+        vtkSmartPointer<vtkRenderWindow> vtkCocoaRenderWindowNew();
+    }}
+
+vtkCocoaServerFix * cv::viz::vtkCocoaRenderWindowFix::GetCocoaServer ()
+{
+    return reinterpret_cast<vtkCocoaServerFix*> (this->GetCocoaServer ());
+}
+
+void cv::viz::vtkCocoaRenderWindowFix::SetCocoaServer (void* server)
 {
-    class vtkCocoaRenderWindowInteractorFix : public vtkCocoaRenderWindowInteractor
+    this->SetCocoaServer (server);
+}
+
+void cv::viz::vtkCocoaRenderWindowInteractorFix::Start ()
+{
+    vtkCocoaRenderWindowFix* renWin = vtkCocoaRenderWindowFix::SafeDownCast(this->GetRenderWindow ());
+    if (renWin != NULL)
     {
-    public:
-        static vtkCocoaRenderWindowInteractorFix *New ();
-        vtkTypeMacro (vtkCocoaRenderWindowInteractorFix, vtkCocoaRenderWindowInteractor)
+        vtkCocoaServerFix *server = reinterpret_cast<vtkCocoaServerFix*> (renWin->GetCocoaServer ());
+        if (!renWin->GetCocoaServer ())
+        {
+            server = [vtkCocoaServerFix cocoaServerWithRenderWindow:renWin];
+            renWin->SetCocoaServer (reinterpret_cast<void*> (server));
+        }
+
+        [server start];
+    }
+}
+
+void cv::viz::vtkCocoaRenderWindowInteractorFix::TerminateApp ()
+{
+    vtkCocoaRenderWindowFix *renWin = vtkCocoaRenderWindowFix::SafeDownCast (this->RenderWindow);
+    if (renWin)
+    {
+        vtkCocoaServerFix *server = reinterpret_cast<vtkCocoaServerFix*> (renWin->GetCocoaServer ());
+        [server stop];
+    }
+}
+
+vtkSmartPointer<vtkRenderWindowInteractor> cv::viz::vtkCocoaRenderWindowInteractorNew()
+{
+    return vtkSmartPointer<vtkCocoaRenderWindowInteractorFix>::New();
+}
+
+#else
+namespace cv { namespace viz
+    {
+        class vtkCocoaRenderWindowInteractorFix : public vtkCocoaRenderWindowInteractor
+        {
+        public:
+            static vtkCocoaRenderWindowInteractorFix *New ();
+            vtkTypeMacro (vtkCocoaRenderWindowInteractorFix, vtkCocoaRenderWindowInteractor)
 
-        virtual void Start ();
-        virtual void TerminateApp ();
+            virtual void Start ();
+            virtual void TerminateApp ();
 
-    protected:
-        vtkCocoaRenderWindowInteractorFix () {}
-        ~vtkCocoaRenderWindowInteractorFix () {}
+        protected:
+            vtkCocoaRenderWindowInteractorFix () {}
+            ~vtkCocoaRenderWindowInteractorFix () {}
 
-    private:
-        vtkCocoaRenderWindowInteractorFix (const vtkCocoaRenderWindowInteractorFix&);  // Not implemented.
-        void operator = (const vtkCocoaRenderWindowInteractorFix&);  // Not implemented.
-    };
+        private:
+            vtkCocoaRenderWindowInteractorFix (const vtkCocoaRenderWindowInteractorFix&);  // Not implemented.
+            void operator = (const vtkCocoaRenderWindowInteractorFix&);  // Not implemented.
+        };
 
-    vtkStandardNewMacro (vtkCocoaRenderWindowInteractorFix)
+        vtkStandardNewMacro (vtkCocoaRenderWindowInteractorFix)
 
-    vtkSmartPointer<vtkRenderWindowInteractor> vtkCocoaRenderWindowInteractorNew();
-}}
+        vtkSmartPointer<vtkRenderWindowInteractor> vtkCocoaRenderWindowInteractorNew();
+    }}
 
 void cv::viz::vtkCocoaRenderWindowInteractorFix::Start ()
 {
@@ -209,3 +306,5 @@ vtkSmartPointer<vtkRenderWindowInteractor> cv::viz::vtkCocoaRenderWindowInteract
 {
     return vtkSmartPointer<vtkCocoaRenderWindowInteractorFix>::New();
 }
+
+#endif

From 3a8af7d691e28ad4052a68fb2c490d3532fa4735 Mon Sep 17 00:00:00 2001
From: Alexander Alekhin <alexander.alekhin@itseez.com>
Date: Mon, 30 Jun 2014 16:03:07 +0400
Subject: [PATCH 39/92] fix python tests

---
 modules/python/test/test.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/python/test/test.py b/modules/python/test/test.py
index 10f32260b4..212fdbcd99 100755
--- a/modules/python/test/test.py
+++ b/modules/python/test/test.py
@@ -73,7 +73,7 @@ class OpenCVTests(unittest.TestCase):
 
     def get_sample(self, filename, iscolor = cv.CV_LOAD_IMAGE_COLOR):
         if not filename in self.image_cache:
-            filedata = urllib.urlopen("https://raw.github.com/Itseez/opencv/master/" + filename).read()
+            filedata = urllib.urlopen("https://raw.github.com/Itseez/opencv/2.4/" + filename).read()
             imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
             cv.SetData(imagefiledata, filedata, len(filedata))
             self.image_cache[filename] = cv.DecodeImageM(imagefiledata, iscolor)

From 5c8cd76893b6035748ae406c6409d5a52cf8bcf9 Mon Sep 17 00:00:00 2001
From: Alexander Alekhin <alexander.alekhin@itseez.com>
Date: Mon, 30 Jun 2014 16:03:20 +0400
Subject: [PATCH 40/92] fix bug with invalid signature size (should not be less
 than signatureLength())

---
 modules/highgui/src/loadsave.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/highgui/src/loadsave.cpp b/modules/highgui/src/loadsave.cpp
index 6658b1335e..81c708acdd 100644
--- a/modules/highgui/src/loadsave.cpp
+++ b/modules/highgui/src/loadsave.cpp
@@ -137,9 +137,9 @@ static ImageDecoder findDecoder( const Mat& buf )
         maxlen = std::max(maxlen, len);
     }
 
+    string signature(maxlen, ' ');
     size_t bufSize = buf.rows*buf.cols*buf.elemSize();
     maxlen = std::min(maxlen, bufSize);
-    string signature(maxlen, ' ');
     memcpy( &signature[0], buf.data, maxlen );
 
     for( i = 0; i < codecs.decoders.size(); i++ )

From ebb0255e195e28033ca734783b38fc26e4f93218 Mon Sep 17 00:00:00 2001
From: Roman Donchenko <roman.donchenko@itseez.com>
Date: Mon, 30 Jun 2014 16:12:04 +0400
Subject: [PATCH 41/92] Remove a couple of useless casts in core headers

This helps users who compile their code with -Wuseless-cast.
---
 modules/core/include/opencv2/core/core_c.h  | 2 +-
 modules/core/include/opencv2/core/types_c.h | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/core/include/opencv2/core/core_c.h b/modules/core/include/opencv2/core/core_c.h
index 38abfc409b..3613cf5337 100644
--- a/modules/core/include/opencv2/core/core_c.h
+++ b/modules/core/include/opencv2/core/core_c.h
@@ -1107,7 +1107,7 @@ CV_INLINE  CvSetElem* cvSetNew( CvSet* set_header )
         set_header->active_count++;
     }
     else
-        cvSetAdd( set_header, NULL, (CvSetElem**)&elem );
+        cvSetAdd( set_header, NULL, &elem );
     return elem;
 }
 
diff --git a/modules/core/include/opencv2/core/types_c.h b/modules/core/include/opencv2/core/types_c.h
index 99ac0d2575..989b799fdf 100644
--- a/modules/core/include/opencv2/core/types_c.h
+++ b/modules/core/include/opencv2/core/types_c.h
@@ -790,7 +790,7 @@ CV_INLINE  void  cvmSet( CvMat* mat, int row, int col, double value )
     else
     {
         assert( type == CV_64FC1 );
-        ((double*)(void*)(mat->data.ptr + (size_t)mat->step*row))[col] = (double)value;
+        ((double*)(void*)(mat->data.ptr + (size_t)mat->step*row))[col] = value;
     }
 }
 

From 95550c25828891a5de6ff7c2ac295f20cdc7e915 Mon Sep 17 00:00:00 2001
From: Mike Maraya <mike.maraya@gmail.com>
Date: Mon, 30 Jun 2014 22:17:52 -0400
Subject: [PATCH 42/92] test.py: Check if camera_calibration.tar.gz file exists
 before downloading it, opencv bug #3782

---
 modules/python/test/test.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/modules/python/test/test.py b/modules/python/test/test.py
index 10f32260b4..c9e7c6d695 100755
--- a/modules/python/test/test.py
+++ b/modules/python/test/test.py
@@ -1646,7 +1646,8 @@ class AreaTests(OpenCVTests):
             cv.SetData(imagefiledata, filedata, len(filedata))
             return cv.DecodeImageM(imagefiledata)
 
-        urllib.urlretrieve("http://docs.opencv.org/data/camera_calibration.tar.gz", "camera_calibration.tar.gz")
+        if (not os.path.isfile("camera_calibration.tar.gz")):
+            urllib.urlretrieve("http://docs.opencv.org/data/camera_calibration.tar.gz", "camera_calibration.tar.gz")
         tf = tarfile.open("camera_calibration.tar.gz")
 
         num_x_ints = 8

From 070be56e148c6caf85ffaab415040fc194cfcbff Mon Sep 17 00:00:00 2001
From: Ilya Lavrenov <ilya.lavrenov@itseez.com>
Date: Tue, 1 Jul 2014 14:31:25 +0400
Subject: [PATCH 43/92] fixed warnings

---
 modules/highgui/src/cap_qtkit.mm | 21 ++++++++++-----------
 1 file changed, 10 insertions(+), 11 deletions(-)

diff --git a/modules/highgui/src/cap_qtkit.mm b/modules/highgui/src/cap_qtkit.mm
index 6b915977fe..580e8a0406 100644
--- a/modules/highgui/src/cap_qtkit.mm
+++ b/modules/highgui/src/cap_qtkit.mm
@@ -450,13 +450,12 @@ double CvCaptureCAM::getProperty(int property_id){
     QTFormatDescription* format = [[connections objectAtIndex:0] formatDescription];
     NSSize s1 = [[format attributeForKey:QTFormatDescriptionVideoCleanApertureDisplaySizeAttribute] sizeValue];
 
-    int width=s1.width, height=s1.height;
     switch (property_id) {
         case CV_CAP_PROP_FRAME_WIDTH:
-            retval = width;
+            retval = s1.width;
             break;
         case CV_CAP_PROP_FRAME_HEIGHT:
-            retval = height;
+            retval = s1.height;
             break;
         default:
             retval = 0;
@@ -1013,22 +1012,22 @@ bool CvVideoWriter_QT::writeFrame(const IplImage* image) {
     cvCvtColor(image, argbimage, CV_BGR2BGRA);
 
 
-    unsigned char* imagedata = (unsigned char*)argbimage->imageData;
+    unsigned char* imagedata_ = (unsigned char*)argbimage->imageData;
     //BGRA --> ARGB
 
     for (int j = 0; j < argbimage->height; j++) {
         int rowstart = argbimage->widthStep * j;
         for (int i = rowstart; i < rowstart+argbimage->widthStep; i+=4) {
-            unsigned char temp = imagedata[i];
-            imagedata[i] = 255;
-            imagedata[i+3] = temp;
-            temp = imagedata[i+2];
-            imagedata[i+2] = imagedata[i+1];
-            imagedata[i+1] = temp;
+            unsigned char temp = imagedata_[i];
+            imagedata_[i] = 255;
+            imagedata_[i+3] = temp;
+            temp = imagedata_[i+2];
+            imagedata_[i+2] = imagedata_[i+1];
+            imagedata_[i+1] = temp;
         }
     }
 
-    NSBitmapImageRep* imageRep = [[NSBitmapImageRep alloc] initWithBitmapDataPlanes:&imagedata
+    NSBitmapImageRep* imageRep = [[NSBitmapImageRep alloc] initWithBitmapDataPlanes:&imagedata_
                                                                          pixelsWide:movieSize.width
                                                                          pixelsHigh:movieSize.height
                                                                       bitsPerSample:8

From 43e4946cca7b1cc086dbe2a1c1f3f3c40c25d2cf Mon Sep 17 00:00:00 2001
From: Ilya Lavrenov <ilya.lavrenov@itseez.com>
Date: Tue, 1 Jul 2014 14:53:39 +0400
Subject: [PATCH 44/92] fix for fisheye

---
 modules/calib3d/test/test_fisheye.cpp | 17 ++---------------
 1 file changed, 2 insertions(+), 15 deletions(-)

diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index 774364df79..1ea47ab4e1 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -60,8 +60,6 @@ protected:
 
 protected:
     std::string combine(const std::string& _item1, const std::string& _item2);
-    std::string combine_format(const std::string& item1, const std::string& item2, ...);
-
     cv::Mat mergeRectification(const cv::Mat& l, const cv::Mat& r);
 };
 
@@ -427,10 +425,10 @@ TEST_F(fisheyeTest, rectify)
 
         cv::Mat rectification = mergeRectification(lundist, rundist);
 
-        cv::Mat correct = cv::imread(combine_format(datasets_repository_path, "rectification_AB_%03d.png", i));
+        cv::Mat correct = cv::imread(combine(datasets_repository_path, cv::format("rectification_AB_%03d.png", i)));
 
         if (correct.empty())
-            cv::imwrite(combine_format(datasets_repository_path, "rectification_AB_%03d.png", i), rectification);
+            cv::imwrite(combine(datasets_repository_path, cv::format("rectification_AB_%03d.png", i)), rectification);
          else
              EXPECT_MAT_NEAR(correct, rectification, 1e-10);
      }
@@ -599,17 +597,6 @@ std::string fisheyeTest::combine(const std::string& _item1, const std::string& _
     return item1 + (last != '/' ? "/" : "") + item2;
 }
 
-std::string fisheyeTest::combine_format(const std::string& item1, const std::string& item2, ...)
-{
-    std::string fmt = combine(item1, item2);
-    char buffer[1 << 16];
-    va_list args;
-    va_start( args, item2 );
-    vsprintf( buffer, fmt.c_str(), args );
-    va_end( args );
-    return std::string(buffer);
-}
-
 cv::Mat fisheyeTest::mergeRectification(const cv::Mat& l, const cv::Mat& r)
 {
     CV_Assert(l.type() == r.type() && l.size() == r.size());

From b1ac35e14a8ddfcc184db83c52a9bd928e0310ef Mon Sep 17 00:00:00 2001
From: Alexander Alekhin <alexander.alekhin@itseez.com>
Date: Tue, 1 Jul 2014 20:02:02 +0400
Subject: [PATCH 45/92] ocl: fix mac and superres test

---
 .../ocl/include/opencv2/ocl/cl_runtime/cl_runtime.hpp | 11 +++++++++++
 modules/superres/test/test_superres.cpp               | 10 ++++++++++
 2 files changed, 21 insertions(+)

diff --git a/modules/ocl/include/opencv2/ocl/cl_runtime/cl_runtime.hpp b/modules/ocl/include/opencv2/ocl/cl_runtime/cl_runtime.hpp
index 86e7ebcc39..5472e0616f 100644
--- a/modules/ocl/include/opencv2/ocl/cl_runtime/cl_runtime.hpp
+++ b/modules/ocl/include/opencv2/ocl/cl_runtime/cl_runtime.hpp
@@ -6,6 +6,17 @@
 #if defined(HAVE_OPENCL_STATIC)
 
 #if defined __APPLE__
+// APPLE ignores CL_USE_DEPRECATED_OPENCL_1_1_APIS so use this hack:
+#include <OpenCL/cl_platform.h>
+#ifdef CL_EXT_PREFIX__VERSION_1_1_DEPRECATED
+#undef CL_EXT_PREFIX__VERSION_1_1_DEPRECATED
+#define CL_EXT_PREFIX__VERSION_1_1_DEPRECATED
+#endif
+#ifdef CL_EXT_SUFFIX__VERSION_1_1_DEPRECATED
+#undef CL_EXT_SUFFIX__VERSION_1_1_DEPRECATED
+#define CL_EXT_SUFFIX__VERSION_1_1_DEPRECATED
+#endif
+
 #include <OpenCL/cl.h>
 #else
 #include <CL/cl.h>
diff --git a/modules/superres/test/test_superres.cpp b/modules/superres/test/test_superres.cpp
index 5cb078f77c..14d8eaf35a 100644
--- a/modules/superres/test/test_superres.cpp
+++ b/modules/superres/test/test_superres.cpp
@@ -278,6 +278,16 @@ TEST_F(SuperResolution, BTVL1_GPU)
 #if defined(HAVE_OPENCV_OCL) && defined(HAVE_OPENCL)
 TEST_F(SuperResolution, BTVL1_OCL)
 {
+    try
+    {
+        const cv::ocl::DeviceInfo& dev = cv::ocl::Context::getContext()->getDeviceInfo();
+        std::cout << "Device name:" << dev.deviceName << std::endl;
+    }
+    catch (...)
+    {
+        std::cout << "Device name: N/A" << std::endl;
+        return; // skip test
+    }
     RunTest(cv::superres::createSuperResolution_BTVL1_OCL());
 }
 #endif

From 74e58ddbb1f2f80631ea794c8ccf158c3a60cde8 Mon Sep 17 00:00:00 2001
From: Roman Donchenko <roman.donchenko@itseez.com>
Date: Fri, 1 Aug 2014 19:50:17 +0400
Subject: [PATCH 46/92] Disable the broken fisheye undistortImage test

---
 modules/calib3d/test/test_fisheye.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/calib3d/test/test_fisheye.cpp b/modules/calib3d/test/test_fisheye.cpp
index 8318f82164..553b81c39b 100644
--- a/modules/calib3d/test/test_fisheye.cpp
+++ b/modules/calib3d/test/test_fisheye.cpp
@@ -98,7 +98,7 @@ TEST_F(fisheyeTest, projectPoints)
     EXPECT_MAT_NEAR(distorted0, distorted2, 1e-10);
 }
 
-TEST_F(fisheyeTest, undistortImage)
+TEST_F(fisheyeTest, DISABLED_undistortImage)
 {
     cv::Matx33d K = this->K;
     cv::Mat D = cv::Mat(this->D);

From 61423a2d4774228f6c484569329cd64087e4acb8 Mon Sep 17 00:00:00 2001
From: Yury Gorbachev <yury.gorbachev@itseez.com>
Date: Mon, 4 Aug 2014 16:44:51 +0400
Subject: [PATCH 47/92] ARM NEON accelerated implementation of cv::addWeighted,
 cv::inRange and cv::compare functions. NOT verified on target platform,
 compilation passes with and without NEON.

---
 modules/core/src/arithm.cpp | 244 ++++++++++++++++++++++++++++++++++--
 1 file changed, 236 insertions(+), 8 deletions(-)

diff --git a/modules/core/src/arithm.cpp b/modules/core/src/arithm.cpp
index 7ac3672cf7..4c6ba1c7b0 100644
--- a/modules/core/src/arithm.cpp
+++ b/modules/core/src/arithm.cpp
@@ -2440,6 +2440,34 @@ addWeighted8u( const uchar* src1, size_t step1,
                 _mm_storel_epi64((__m128i*)(dst + x), u);
             }
         }
+#elif CV_NEON
+        float32x4_t g = vdupq_n_f32 (gamma);
+
+        for( ; x <= size.width - 8; x += 8 )
+        {
+            uint8x8_t in1 = vld1_u8(src1+x);
+            uint16x8_t in1_16 = vmovl_u8(in1);
+            float32x4_t in1_f_l = vcvtq_f32_u32(vmovl_u16(vget_low_u16(in1_16)));
+            float32x4_t in1_f_h = vcvtq_f32_u32(vmovl_u16(vget_high_u16(in1_16)));
+
+            uint8x8_t in2 = vld1_u8(src2+x);
+            uint16x8_t in2_16 = vmovl_u8(in2);
+            float32x4_t in2_f_l = vcvtq_f32_u32(vmovl_u16(vget_low_u16(in2_16)));
+            float32x4_t in2_f_h = vcvtq_f32_u32(vmovl_u16(vget_high_u16(in2_16)));
+
+            float32x4_t out_f_l = vaddq_f32(vmulq_n_f32(in1_f_l, alpha), vmulq_n_f32(in2_f_l, beta));
+            float32x4_t out_f_h = vaddq_f32(vmulq_n_f32(in1_f_h, alpha), vmulq_n_f32(in2_f_h, beta));
+            out_f_l = vaddq_f32(out_f_l, g);
+            out_f_h = vaddq_f32(out_f_h, g);
+
+            uint16x4_t out_16_l = vqmovn_u32(vcvtq_u32_f32(out_f_l));
+            uint16x4_t out_16_h = vqmovn_u32(vcvtq_u32_f32(out_f_h));
+
+            uint16x8_t out_16 = vcombine_u16(out_16_l, out_16_h);
+            uint8x8_t out = vqmovn_u16(out_16);
+
+            vst1_u8(dst+x, out);
+        }
 #endif
         #if CV_ENABLE_UNROLLED
         for( ; x <= size.width - 4; x += 4 )
@@ -2650,6 +2678,14 @@ static void cmp8u(const uchar* src1, size_t step1, const uchar* src2, size_t ste
 
                 }
             }
+           #elif CV_NEON
+            uint8x16_t mask = code == CMP_GT ? vdupq_n_u8(0) : vdupq_n_u8(255);
+
+            for( ; x <= size.width - 16; x += 16 )
+            {
+                vst1q_u8(dst+x, veorq_u8(vcgtq_u8(vld1q_u8(src1+x), vld1q_u8(src2+x)), mask));
+            }
+
            #endif
 
             for( ; x < size.width; x++ ){
@@ -2674,6 +2710,13 @@ static void cmp8u(const uchar* src1, size_t step1, const uchar* src2, size_t ste
                     _mm_storeu_si128((__m128i*)(dst + x), r00);
                 }
             }
+           #elif CV_NEON
+            uint8x16_t mask = code == CMP_EQ ? vdupq_n_u8(0) : vdupq_n_u8(255);
+
+            for( ; x <= size.width - 16; x += 16 )
+            {
+                vst1q_u8(dst+x, veorq_u8(vceqq_u8(vld1q_u8(src1+x), vld1q_u8(src2+x)), mask));
+            }
            #endif
            for( ; x < size.width; x++ )
                 dst[x] = (uchar)(-(src1[x] == src2[x]) ^ m);
@@ -2759,6 +2802,22 @@ static void cmp16s(const short* src1, size_t step1, const short* src2, size_t st
                     x += 8;
                 }
             }
+           #elif CV_NEON
+            uint8x16_t mask = code == CMP_GT ? vdupq_n_u8(0) : vdupq_n_u8(255);
+
+            for( ; x <= size.width - 16; x += 16 )
+            {
+                int16x8_t in1 = vld1q_s16(src1 + x);
+                int16x8_t in2 = vld1q_s16(src2 + x);
+                uint8x8_t t1 = vmovn_u16(vcgtq_s16(in1, in2));
+
+                in1 = vld1q_s16(src1 + x + 8);
+                in2 = vld1q_s16(src2 + x + 8);
+                uint8x8_t t2 = vmovn_u16(vcgtq_s16(in1, in2));
+
+                vst1q_u8(dst+x, veorq_u8(vcombine_u8(t1, t2), mask));
+            }
+
            #endif
 
             for( ; x < size.width; x++ ){
@@ -2797,6 +2856,21 @@ static void cmp16s(const short* src1, size_t step1, const short* src2, size_t st
                     x += 8;
                 }
             }
+           #elif CV_NEON
+            uint8x16_t mask = code == CMP_EQ ? vdupq_n_u8(0) : vdupq_n_u8(255);
+
+            for( ; x <= size.width - 16; x += 16 )
+            {
+                int16x8_t in1 = vld1q_s16(src1 + x);
+                int16x8_t in2 = vld1q_s16(src2 + x);
+                uint8x8_t t1 = vmovn_u16(vceqq_s16(in1, in2));
+
+                in1 = vld1q_s16(src1 + x + 8);
+                in2 = vld1q_s16(src2 + x + 8);
+                uint8x8_t t2 = vmovn_u16(vceqq_s16(in1, in2));
+
+                vst1q_u8(dst+x, veorq_u8(vcombine_u8(t1, t2), mask));
+            }
            #endif
            for( ; x < size.width; x++ )
                 dst[x] = (uchar)(-(src1[x] == src2[x]) ^ m);
@@ -3085,7 +3159,7 @@ namespace cv
 {
 
 template <typename T>
-struct InRange_SSE
+struct InRange_SIMD
 {
     int operator () (const T *, const T *, const T *, uchar *, int) const
     {
@@ -3096,7 +3170,7 @@ struct InRange_SSE
 #if CV_SSE2
 
 template <>
-struct InRange_SSE<uchar>
+struct InRange_SIMD<uchar>
 {
     int operator () (const uchar * src1, const uchar * src2, const uchar * src3,
                      uchar * dst, int len) const
@@ -3121,7 +3195,7 @@ struct InRange_SSE<uchar>
 };
 
 template <>
-struct InRange_SSE<schar>
+struct InRange_SIMD<schar>
 {
     int operator () (const schar * src1, const schar * src2, const schar * src3,
                      uchar * dst, int len) const
@@ -3146,7 +3220,7 @@ struct InRange_SSE<schar>
 };
 
 template <>
-struct InRange_SSE<ushort>
+struct InRange_SIMD<ushort>
 {
     int operator () (const ushort * src1, const ushort * src2, const ushort * src3,
                      uchar * dst, int len) const
@@ -3172,7 +3246,7 @@ struct InRange_SSE<ushort>
 };
 
 template <>
-struct InRange_SSE<short>
+struct InRange_SIMD<short>
 {
     int operator () (const short * src1, const short * src2, const short * src3,
                      uchar * dst, int len) const
@@ -3198,7 +3272,7 @@ struct InRange_SSE<short>
 };
 
 template <>
-struct InRange_SSE<int>
+struct InRange_SIMD<int>
 {
     int operator () (const int * src1, const int * src2, const int * src3,
                      uchar * dst, int len) const
@@ -3230,7 +3304,7 @@ struct InRange_SSE<int>
 };
 
 template <>
-struct InRange_SSE<float>
+struct InRange_SIMD<float>
 {
     int operator () (const float * src1, const float * src2, const float * src3,
                      uchar * dst, int len) const
@@ -3261,6 +3335,160 @@ struct InRange_SSE<float>
     }
 };
 
+#elif CV_NEON
+
+template <>
+struct InRange_SIMD<uchar>
+{
+    int operator () (const uchar * src1, const uchar * src2, const uchar * src3,
+                     uchar * dst, int len) const
+    {
+        int x = 0;
+
+        for ( ; x <= len - 16; x += 16 )
+        {
+            uint8x16_t values = vld1q_u8(src1 + x);
+            uint8x16_t low = vld1q_u8(src2 + x);
+            uint8x16_t high = vld1q_u8(src3 + x);
+
+            vst1q_u8(dst + x, vandq_u8(vcgeq_u8(values, low), vcgeq_u8(high, values)));
+        }
+        return x;
+    }
+};
+
+template <>
+struct InRange_SIMD<schar>
+{
+    int operator () (const schar * src1, const schar * src2, const schar * src3,
+                     uchar * dst, int len) const
+    {
+        int x = 0;
+
+        for ( ; x <= len - 16; x += 16 )
+        {
+            int8x16_t values = vld1q_s8(src1 + x);
+            int8x16_t low = vld1q_s8(src2 + x);
+            int8x16_t high = vld1q_s8(src3 + x);
+
+            vst1q_u8(dst + x, vandq_u8(vcgeq_s8(values, low), vcgeq_s8(high, values)));
+        }
+        return x;
+    }
+};
+
+template <>
+struct InRange_SIMD<ushort>
+{
+    int operator () (const ushort * src1, const ushort * src2, const ushort * src3,
+                     uchar * dst, int len) const
+    {
+        int x = 0;
+
+        for ( ; x <= len - 16; x += 16 )
+        {
+            uint16x8_t values = vld1q_u16((const uint16_t*)(src1 + x));
+            uint16x8_t low = vld1q_u16((const uint16_t*)(src2 + x));
+            uint16x8_t high = vld1q_u16((const uint16_t*)(src3 + x));
+            uint8x8_t  r1 = vmovn_u16(vandq_u16(vcgeq_u16(values, low), vcgeq_u16(high, values)));
+
+            values = vld1q_u16((const uint16_t*)(src1 + x + 8));
+            low = vld1q_u16((const uint16_t*)(src2 + x + 8));
+            high = vld1q_u16((const uint16_t*)(src3 + x + 8));
+            uint8x8_t  r2 = vmovn_u16(vandq_u16(vcgeq_u16(values, low), vcgeq_u16(high, values)));
+
+            vst1q_u8(dst + x, vcombine_u8(r1, r2));
+        }
+        return x;
+    }
+};
+
+template <>
+struct InRange_SIMD<short>
+{
+    int operator () (const short * src1, const short * src2, const short * src3,
+                     uchar * dst, int len) const
+    {
+        int x = 0;
+
+        for ( ; x <= len - 16; x += 16 )
+        {
+            int16x8_t values = vld1q_s16((const int16_t*)(src1 + x));
+            int16x8_t low = vld1q_s16((const int16_t*)(src2 + x));
+            int16x8_t high = vld1q_s16((const int16_t*)(src3 + x));
+            uint8x8_t r1 = vmovn_u16(vandq_u16(vcgeq_s16(values, low), vcgeq_s16(high, values)));
+
+            values = vld1q_s16((const int16_t*)(src1 + x + 8));
+            low = vld1q_s16((const int16_t*)(src2 + x + 8));
+            high = vld1q_s16((const int16_t*)(src3 + x + 8));
+            uint8x8_t r2 = vmovn_u16(vandq_u16(vcgeq_s16(values, low), vcgeq_s16(high, values)));
+
+            vst1q_u8(dst + x, vcombine_u8(r1, r2));
+        }
+        return x;
+    }
+};
+
+template <>
+struct InRange_SIMD<int>
+{
+    int operator () (const int * src1, const int * src2, const int * src3,
+                     uchar * dst, int len) const
+    {
+        int x = 0;
+
+        for ( ; x <= len - 8; x += 8 )
+        {
+            int32x4_t values = vld1q_s32((const int32_t*)(src1 + x));
+            int32x4_t low = vld1q_s32((const int32_t*)(src2 + x));
+            int32x4_t high = vld1q_s32((const int32_t*)(src3 + x));
+
+            uint16x4_t r1 = vmovn_u32(vandq_u32(vcgeq_s32(values, low), vcgeq_s32(high, values)));
+
+            values = vld1q_s32((const int32_t*)(src1 + x + 4));
+            low = vld1q_s32((const int32_t*)(src2 + x + 4));
+            high = vld1q_s32((const int32_t*)(src3 + x + 4));
+
+            uint16x4_t r2 = vmovn_u32(vandq_u32(vcgeq_s32(values, low), vcgeq_s32(high, values)));
+
+            uint16x8_t res_16 = vcombine_u16(r1, r2);
+
+            vst1_u8(dst + x, vmovn_u16(res_16));
+        }
+        return x;
+    }
+};
+
+template <>
+struct InRange_SIMD<float>
+{
+    int operator () (const float * src1, const float * src2, const float * src3,
+                     uchar * dst, int len) const
+    {
+        int x = 0;
+
+        for ( ; x <= len - 8; x += 8 )
+        {
+            float32x4_t values = vld1q_f32((const float32_t*)(src1 + x));
+            float32x4_t low = vld1q_f32((const float32_t*)(src2 + x));
+            float32x4_t high = vld1q_f32((const float32_t*)(src3 + x));
+
+            uint16x4_t r1 = vmovn_u32(vandq_u32(vcgeq_f32(values, low), vcgeq_f32(high, values)));
+
+            values = vld1q_f32((const float32_t*)(src1 + x + 4));
+            low = vld1q_f32((const float32_t*)(src2 + x + 4));
+            high = vld1q_f32((const float32_t*)(src3 + x + 4));
+
+            uint16x4_t r2 = vmovn_u32(vandq_u32(vcgeq_f32(values, low), vcgeq_f32(high, values)));
+
+            uint16x8_t res_16 = vcombine_u16(r1, r2);
+
+            vst1_u8(dst + x, vmovn_u16(res_16));
+        }
+        return x;
+    }
+};
+
 #endif
 
 template <typename T>
@@ -3272,7 +3500,7 @@ static void inRange_(const T* src1, size_t step1, const T* src2, size_t step2,
     step2 /= sizeof(src2[0]);
     step3 /= sizeof(src3[0]);
 
-    InRange_SSE<T> vop;
+    InRange_SIMD<T> vop;
 
     for( ; size.height--; src1 += step1, src2 += step2, src3 += step3, dst += step )
     {

From fec21239c809ff363bb40235784276e790e634e0 Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Mon, 4 Aug 2014 12:45:00 +0400
Subject: [PATCH 48/92] Revert optimization for warpAffine INTER_NEAREST mode

---
 modules/imgproc/src/opencl/warp_affine.cl  | 15 ++++++---------
 modules/imgproc/src/pyramids.cpp           |  3 +++
 modules/imgproc/test/ocl/test_pyramids.cpp |  3 ++-
 3 files changed, 11 insertions(+), 10 deletions(-)

diff --git a/modules/imgproc/src/opencl/warp_affine.cl b/modules/imgproc/src/opencl/warp_affine.cl
index 649f10db7a..229336ea15 100644
--- a/modules/imgproc/src/opencl/warp_affine.cl
+++ b/modules/imgproc/src/opencl/warp_affine.cl
@@ -98,15 +98,15 @@ __kernel void warpAffine(__global const uchar * srcptr, int src_step, int src_of
     {
         int round_delta = (AB_SCALE >> 1);
 
-        int X0 = rint(fma(M[0], dx, fma(M[1], dy0, M[2])) * AB_SCALE) + round_delta;
-        int Y0 = rint(fma(M[3], dx, fma(M[4], dy0, M[5])) * AB_SCALE) + round_delta;
-
-        int XSTEP = (int)(M[1] * AB_SCALE);
-        int YSTEP = (int)(M[4] * AB_SCALE);
+        int X0_ = rint(M[0] * dx * AB_SCALE);
+        int Y0_ = rint(M[3] * dx * AB_SCALE);
         int dst_index = mad24(dy0, dst_step, mad24(dx, pixsize, dst_offset));
 
         for (int dy = dy0, dy1 = min(dst_rows, dy0 + rowsPerWI); dy < dy1; ++dy, dst_index += dst_step)
         {
+            int X0 = X0_ + rint(fma(M[1], dy, M[2]) * AB_SCALE) + round_delta;
+            int Y0 = Y0_ + rint(fma(M[4], dy, M[5]) * AB_SCALE) + round_delta;
+
             short sx = convert_short_sat(X0 >> AB_BITS);
             short sy = convert_short_sat(Y0 >> AB_BITS);
 
@@ -117,9 +117,6 @@ __kernel void warpAffine(__global const uchar * srcptr, int src_step, int src_of
             }
             else
                 storepix(scalar, dstptr + dst_index);
-
-            X0 += XSTEP;
-            Y0 += YSTEP;
         }
     }
 }
@@ -376,4 +373,4 @@ __kernel void warpAffine(__global const uchar * srcptr, int src_step, int src_of
     }
 }
 
-#endif
+#endif
\ No newline at end of file
diff --git a/modules/imgproc/src/pyramids.cpp b/modules/imgproc/src/pyramids.cpp
index 2714e08f30..f213445993 100644
--- a/modules/imgproc/src/pyramids.cpp
+++ b/modules/imgproc/src/pyramids.cpp
@@ -413,6 +413,9 @@ static bool ocl_pyrDown( InputArray _src, OutputArray _dst, const Size& _dsz, in
 
     Size ssize = _src.size();
     Size dsize = _dsz.area() == 0 ? Size((ssize.width + 1) / 2, (ssize.height + 1) / 2) : _dsz;
+    if (dsize.height < 2 || dsize.width < 2)
+        return false;
+
     CV_Assert( ssize.width > 0 && ssize.height > 0 &&
             std::abs(dsize.width*2 - ssize.width) <= 2 &&
             std::abs(dsize.height*2 - ssize.height) <= 2 );
diff --git a/modules/imgproc/test/ocl/test_pyramids.cpp b/modules/imgproc/test/ocl/test_pyramids.cpp
index a129c7f771..beff48591e 100644
--- a/modules/imgproc/test/ocl/test_pyramids.cpp
+++ b/modules/imgproc/test/ocl/test_pyramids.cpp
@@ -94,7 +94,8 @@ OCL_TEST_P(PyrDown, Mat)
 {
     for (int j = 0; j < test_loop_times; j++)
     {
-        Size src_roiSize = randomSize(1, MAX_VALUE);
+        // minimal src size is set to 4 since size<4 doesn't make sense
+        Size src_roiSize = randomSize(4, MAX_VALUE);
         Size dst_roiSize = Size(randomInt((src_roiSize.width - 1) / 2, (src_roiSize.width + 3) / 2),
                                 randomInt((src_roiSize.height - 1) / 2, (src_roiSize.height + 3) / 2));
         dst_roiSize = dst_roiSize.area() == 0 ? Size((src_roiSize.width + 1) / 2, (src_roiSize.height + 1) / 2) : dst_roiSize;

From eb9fdb01642021a8bd56d44cde5b50295e6403bc Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Tue, 5 Aug 2014 15:40:29 +0400
Subject: [PATCH 49/92] Fixed rounding in remap INTER_LINEAR mode

---
 modules/imgproc/src/opencl/remap.cl | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/imgproc/src/opencl/remap.cl b/modules/imgproc/src/opencl/remap.cl
index 4e45b40bd3..41f5fa85d7 100644
--- a/modules/imgproc/src/opencl/remap.cl
+++ b/modules/imgproc/src/opencl/remap.cl
@@ -413,9 +413,9 @@ __kernel void remap_2_32FC1(__global const uchar * srcptr, int src_step, int src
                 __global T * dst = (__global T *)(dstptr + dst_index);
 
 #if defined BORDER_CONSTANT
-
                 float xf = map1[0], yf = map2[0];
-                int sx = convert_int_sat_rtn(xf), sy = convert_int_sat_rtn(yf);
+                int sx = convert_int_sat_rtz(mad(xf, INTER_TAB_SIZE, 0.5f)) >> INTER_BITS;
+                int sy = convert_int_sat_rtz(mad(yf, INTER_TAB_SIZE, 0.5f)) >> INTER_BITS;
 
                 __constant float * coeffs_x = coeffs + ((convert_int_rte(xf * INTER_TAB_SIZE) & (INTER_TAB_SIZE - 1)) << 1);
                 __constant float * coeffs_y = coeffs + ((convert_int_rte(yf * INTER_TAB_SIZE) & (INTER_TAB_SIZE - 1)) << 1);

From 2a0b39d30a6e324e51f870536420de5f8df6e687 Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Tue, 5 Aug 2014 17:17:14 +0400
Subject: [PATCH 50/92] Fixed calculate_histogram kernel

---
 modules/imgproc/src/opencl/histogram.cl | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/modules/imgproc/src/opencl/histogram.cl b/modules/imgproc/src/opencl/histogram.cl
index ff8023054f..5c99d5424d 100644
--- a/modules/imgproc/src/opencl/histogram.cl
+++ b/modules/imgproc/src/opencl/histogram.cl
@@ -47,7 +47,7 @@
 
 #define noconvert
 
-__kernel void calculate_histogram(__global const uchar * src, int src_step, int src_offset, int src_rows, int src_cols,
+__kernel void calculate_histogram(__global const uchar * src_ptr, int src_step, int src_offset, int src_rows, int src_cols,
                                   __global uchar * histptr, int total)
 {
     int lid = get_local_id(0);
@@ -61,6 +61,7 @@ __kernel void calculate_histogram(__global const uchar * src, int src_step, int
         localhist[i] = 0;
     barrier(CLK_LOCAL_MEM_FENCE);
 
+    __global const uchar * src = src_ptr + src_offset;
     int src_index;
 
     for (int grain = HISTS_COUNT * WGS * kercn; id < total; id += grain)
@@ -68,7 +69,7 @@ __kernel void calculate_histogram(__global const uchar * src, int src_step, int
 #ifdef HAVE_SRC_CONT
         src_index = id;
 #else
-        src_index = mad24(id / src_cols, src_step, src_offset + id % src_cols);
+        src_index = mad24(id / src_cols, src_step, id % src_cols);
 #endif
 
 #if kercn == 1

From 44fbfb2cf6b6dd45ab0ad2a8d31bfafca71bc00f Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Wed, 6 Aug 2014 11:09:56 +0400
Subject: [PATCH 51/92] Fixed extrapolation in pyrDown

---
 modules/imgproc/src/opencl/pyr_down.cl     | 6 +++---
 modules/imgproc/test/ocl/test_pyramids.cpp | 3 +--
 2 files changed, 4 insertions(+), 5 deletions(-)

diff --git a/modules/imgproc/src/opencl/pyr_down.cl b/modules/imgproc/src/opencl/pyr_down.cl
index 4db1a8d811..b6927fa879 100644
--- a/modules/imgproc/src/opencl/pyr_down.cl
+++ b/modules/imgproc/src/opencl/pyr_down.cl
@@ -53,16 +53,16 @@
 
 #if defined BORDER_REPLICATE
 // aaaaaa|abcdefgh|hhhhhhh
-#define EXTRAPOLATE(x, maxV) clamp(x, 0, maxV-1)
+#define EXTRAPOLATE(x, maxV) clamp((x), 0, (maxV)-1)
 #elif defined BORDER_WRAP
 // cdefgh|abcdefgh|abcdefg
 #define EXTRAPOLATE(x, maxV) ( (x) + (maxV) ) % (maxV)
 #elif defined BORDER_REFLECT
 // fedcba|abcdefgh|hgfedcb
-#define EXTRAPOLATE(x, maxV) min(((maxV)-1)*2-(x)+1, max((x),-(x)-1) )
+#define EXTRAPOLATE(x, maxV) clamp(min(((maxV)-1)*2-(x)+1, max((x),-(x)-1) ), 0, (maxV)-1)
 #elif defined BORDER_REFLECT_101 || defined BORDER_REFLECT101
 // gfedcb|abcdefgh|gfedcba
-#define EXTRAPOLATE(x, maxV) min(((maxV)-1)*2-(x), max((x),-(x)) )
+#define EXTRAPOLATE(x, maxV) clamp(min(((maxV)-1)*2-(x), max((x),-(x)) ), 0, (maxV)-1)
 #else
 #error No extrapolation method
 #endif
diff --git a/modules/imgproc/test/ocl/test_pyramids.cpp b/modules/imgproc/test/ocl/test_pyramids.cpp
index beff48591e..a129c7f771 100644
--- a/modules/imgproc/test/ocl/test_pyramids.cpp
+++ b/modules/imgproc/test/ocl/test_pyramids.cpp
@@ -94,8 +94,7 @@ OCL_TEST_P(PyrDown, Mat)
 {
     for (int j = 0; j < test_loop_times; j++)
     {
-        // minimal src size is set to 4 since size<4 doesn't make sense
-        Size src_roiSize = randomSize(4, MAX_VALUE);
+        Size src_roiSize = randomSize(1, MAX_VALUE);
         Size dst_roiSize = Size(randomInt((src_roiSize.width - 1) / 2, (src_roiSize.width + 3) / 2),
                                 randomInt((src_roiSize.height - 1) / 2, (src_roiSize.height + 3) / 2));
         dst_roiSize = dst_roiSize.area() == 0 ? Size((src_roiSize.width + 1) / 2, (src_roiSize.height + 1) / 2) : dst_roiSize;

From 00221e96fdaabedb57bc04eb9d5a66504278ec47 Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Thu, 7 Aug 2014 12:31:50 +0400
Subject: [PATCH 52/92] Fixed issue: Mat::copyTo(UMat) if device copy is
 obsolete. Added test.

---
 modules/core/src/umatrix.cpp    |  7 ++++---
 modules/core/test/test_umat.cpp | 18 ++++++++++++++++++
 2 files changed, 22 insertions(+), 3 deletions(-)

diff --git a/modules/core/src/umatrix.cpp b/modules/core/src/umatrix.cpp
index 494f3e3c06..ab8865d047 100644
--- a/modules/core/src/umatrix.cpp
+++ b/modules/core/src/umatrix.cpp
@@ -593,15 +593,16 @@ void* UMat::handle(int accessFlags) const
     if( !u )
         return 0;
 
-    if ((accessFlags & ACCESS_WRITE) != 0)
-        u->markHostCopyObsolete(true);
-
     // check flags: if CPU copy is newer, copy it back to GPU.
     if( u->deviceCopyObsolete() )
     {
         CV_Assert(u->refcount == 0);
         u->currAllocator->unmap(u);
     }
+
+    if ((accessFlags & ACCESS_WRITE) != 0)
+        u->markHostCopyObsolete(true);
+
     return u->handle;
 }
 
diff --git a/modules/core/test/test_umat.cpp b/modules/core/test/test_umat.cpp
index d7ae7a9385..8e51aadad2 100644
--- a/modules/core/test/test_umat.cpp
+++ b/modules/core/test/test_umat.cpp
@@ -745,6 +745,24 @@ TEST(UMat, Sync)
     EXPECT_EQ(0, cvtest::norm(um.getMat(ACCESS_READ), cv::Mat(um.size(), um.type(), 19), NORM_INF));
 }
 
+TEST(UMat, CopyToIfDeviceCopyIsObsolete)
+{
+    UMat um(7, 2, CV_8UC1);
+    Mat m(um.size(), um.type());
+    m.setTo(Scalar::all(0));
+
+    {
+        // make obsolete device copy of UMat
+        Mat temp = um.getMat(ACCESS_WRITE);
+        temp.setTo(Scalar::all(10));
+    }
+
+    m.copyTo(um);
+    um.setTo(Scalar::all(17));
+
+    EXPECT_EQ(0, cvtest::norm(um.getMat(ACCESS_READ), Mat(um.size(), um.type(), 17), NORM_INF));
+}
+
 TEST(UMat, setOpenCL)
 {
     // save the current state

From c9b5d8cf4c1bacf0d907fbfa939daee97b3aa7f9 Mon Sep 17 00:00:00 2001
From: Elena Gvozdeva <elena.gvozdeva@itseez.com>
Date: Wed, 6 Aug 2014 16:14:48 +0400
Subject: [PATCH 53/92] fixed tests for ocl_filter2d, ocl_matchTemplate,
 ocl_histogram.cpp

---
 modules/imgproc/test/ocl/test_filter2d.cpp       |  2 +-
 modules/imgproc/test/ocl/test_histogram.cpp      |  8 ++++++--
 modules/imgproc/test/ocl/test_match_template.cpp | 11 +++++++++--
 3 files changed, 16 insertions(+), 5 deletions(-)

diff --git a/modules/imgproc/test/ocl/test_filter2d.cpp b/modules/imgproc/test/ocl/test_filter2d.cpp
index 03a6bcff74..38a25a9d9b 100644
--- a/modules/imgproc/test/ocl/test_filter2d.cpp
+++ b/modules/imgproc/test/ocl/test_filter2d.cpp
@@ -125,7 +125,7 @@ OCL_INSTANTIATE_TEST_CASE_P(ImageProc, Filter2D,
                             Combine(
                                 Values(CV_8U, CV_16U, CV_32F),
                                 OCL_ALL_CHANNELS,
-                                Values(3, 5, 9),  // Kernel size
+                                Values(3, 5, 7),  // Kernel size
                                 Values(1, 4, 8),   // Width mutiple
                                 Values((BorderType)BORDER_CONSTANT,
                                        (BorderType)BORDER_REPLICATE,
diff --git a/modules/imgproc/test/ocl/test_histogram.cpp b/modules/imgproc/test/ocl/test_histogram.cpp
index e8813c85ad..9d73614e2d 100644
--- a/modules/imgproc/test/ocl/test_histogram.cpp
+++ b/modules/imgproc/test/ocl/test_histogram.cpp
@@ -99,6 +99,10 @@ PARAM_TEST_CASE(CalcBackProject, MatDepth, int, bool)
         Size roiSize = randomSize(1, MAX_VALUE);
 
         int totalChannels = 0;
+
+        ranges.clear();
+        channels.clear();
+
         for (int i = 0; i < N; ++i)
         {
             Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
@@ -202,9 +206,9 @@ OCL_TEST_P(CalcBackProject, Mat)
         OCL_ON(cv::calcBackProject(uimages_roi, channels, uhist_roi, udst_roi, ranges, scale));
 
         Size dstSize = dst_roi.size();
-        int nDiffs = (int)(0.03f*dstSize.height*dstSize.width);
+        int nDiffs = (int)(0.06f*dstSize.area()+1);
 
-        //check if the dst mats are the same except 3% difference
+        //check if the dst mats are the same except 6% difference
         EXPECT_MAT_N_DIFF(dst_roi, udst_roi, nDiffs);
     }
 }
diff --git a/modules/imgproc/test/ocl/test_match_template.cpp b/modules/imgproc/test/ocl/test_match_template.cpp
index a525039ac2..a2c7f57e1f 100644
--- a/modules/imgproc/test/ocl/test_match_template.cpp
+++ b/modules/imgproc/test/ocl/test_match_template.cpp
@@ -99,7 +99,7 @@ PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, MatchTemplType, bool)
 
     void Near(double threshold = 0.0)
     {
-        OCL_EXPECT_MATS_NEAR_RELATIVE(result, threshold);
+        OCL_EXPECT_MATS_NEAR(result, threshold);
     }
 };
 
@@ -112,7 +112,14 @@ OCL_TEST_P(MatchTemplate, Mat)
         OCL_OFF(cv::matchTemplate(image_roi, templ_roi, result_roi, method));
         OCL_ON(cv::matchTemplate(uimage_roi, utempl_roi, uresult_roi, method));
 
-        Near(1.5e-4);
+        bool isNormed =
+        method == TM_CCORR_NORMED ||
+        method == TM_SQDIFF_NORMED ||
+        method == TM_CCOEFF_NORMED;
+        
+        double eps = isNormed ? 3e-2 : 255.0 * 255.0 * templ.total() * 2e-5;
+        
+        Near(eps);
     }
 }
 

From 7dd7dd97cd40a996192b02b246dfae16f9f73f40 Mon Sep 17 00:00:00 2001
From: Elena Gvozdeva <elena.gvozdeva@itseez.com>
Date: Wed, 6 Aug 2014 17:31:19 +0400
Subject: [PATCH 54/92] fixed nDiffs for CalcBackProject

---
 modules/imgproc/test/ocl/test_histogram.cpp      | 4 ++--
 modules/imgproc/test/ocl/test_match_template.cpp | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/modules/imgproc/test/ocl/test_histogram.cpp b/modules/imgproc/test/ocl/test_histogram.cpp
index 9d73614e2d..6a16efa3a3 100644
--- a/modules/imgproc/test/ocl/test_histogram.cpp
+++ b/modules/imgproc/test/ocl/test_histogram.cpp
@@ -206,9 +206,9 @@ OCL_TEST_P(CalcBackProject, Mat)
         OCL_ON(cv::calcBackProject(uimages_roi, channels, uhist_roi, udst_roi, ranges, scale));
 
         Size dstSize = dst_roi.size();
-        int nDiffs = (int)(0.06f*dstSize.area()+1);
+        int nDiffs = std::max((int)(0.07f*dstSize.area()), 1);
 
-        //check if the dst mats are the same except 6% difference
+        //check if the dst mats are the same except 7% difference
         EXPECT_MAT_N_DIFF(dst_roi, udst_roi, nDiffs);
     }
 }
diff --git a/modules/imgproc/test/ocl/test_match_template.cpp b/modules/imgproc/test/ocl/test_match_template.cpp
index a2c7f57e1f..1d1352adfd 100644
--- a/modules/imgproc/test/ocl/test_match_template.cpp
+++ b/modules/imgproc/test/ocl/test_match_template.cpp
@@ -116,9 +116,9 @@ OCL_TEST_P(MatchTemplate, Mat)
         method == TM_CCORR_NORMED ||
         method == TM_SQDIFF_NORMED ||
         method == TM_CCOEFF_NORMED;
-        
+
         double eps = isNormed ? 3e-2 : 255.0 * 255.0 * templ.total() * 2e-5;
-        
+
         Near(eps);
     }
 }

From c5ad6de596baebca7c66b907a251997147abada5 Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Thu, 7 Aug 2014 15:37:26 +0400
Subject: [PATCH 55/92] Fixed choice of kercn and rowsPerWI for non-Intel
 device.

---
 modules/core/src/matrix.cpp | 17 ++++++++++-------
 1 file changed, 10 insertions(+), 7 deletions(-)

diff --git a/modules/core/src/matrix.cpp b/modules/core/src/matrix.cpp
index 46c8eeac86..7eff30660c 100644
--- a/modules/core/src/matrix.cpp
+++ b/modules/core/src/matrix.cpp
@@ -2758,15 +2758,18 @@ namespace cv {
 
 static bool ocl_setIdentity( InputOutputArray _m, const Scalar& s )
 {
-    int type = _m.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), kercn = cn;
-    if (cn == 1)
+    int type = _m.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type), kercn = cn, rowsPerWI = 1;
+    int sctype = CV_MAKE_TYPE(depth, cn == 3 ? 4 : cn);
+    if (ocl::Device::getDefault().isIntel())
     {
-        kercn = std::min(ocl::predictOptimalVectorWidth(_m), 4);
-        if (kercn != 4)
-            kercn = 1;
+        rowsPerWI = 4;
+        if (cn == 1)
+        {
+            kercn = std::min(ocl::predictOptimalVectorWidth(_m), 4);
+            if (kercn != 4)
+                kercn = 1;
+        }
     }
-    int sctype = CV_MAKE_TYPE(depth, cn == 3 ? 4 : cn),
-            rowsPerWI = ocl::Device::getDefault().isIntel() ? 4 : 1;
 
     ocl::Kernel k("setIdentity", ocl::core::set_identity_oclsrc,
                   format("-D T=%s -D T1=%s -D cn=%d -D ST=%s -D kercn=%d -D rowsPerWI=%d",

From 98d5731ad8342ec2ea3cc83ad81c1399d4a7a638 Mon Sep 17 00:00:00 2001
From: Adil Ibragimov <adil.mipt@gmail.com>
Date: Thu, 7 Aug 2014 15:49:14 +0400
Subject: [PATCH 56/92] some formal changes (generally adding constness)

---
 modules/core/include/opencv2/core/cuda.hpp    |  8 +++---
 modules/core/include/opencv2/core/mat.hpp     | 26 ++++++++---------
 modules/core/include/opencv2/core/mat.inl.hpp | 20 ++++++-------
 modules/core/src/dxt.cpp                      | 12 ++++----
 modules/core/src/lapack.cpp                   | 26 ++++++++---------
 modules/core/src/matrix.cpp                   | 28 +++++++++----------
 modules/core/src/stat.cpp                     |  8 +++---
 modules/core/src/umatrix.cpp                  |  2 +-
 modules/features2d/src/brisk.cpp              | 16 +++++------
 modules/imgcodecs/src/grfmt_jpeg2000.cpp      |  6 ++--
 modules/imgproc/test/test_filter.cpp          |  2 +-
 modules/imgproc/test/test_imgwarp.cpp         |  2 +-
 modules/imgproc/test/test_imgwarp_strict.cpp  |  2 +-
 13 files changed, 79 insertions(+), 79 deletions(-)

diff --git a/modules/core/include/opencv2/core/cuda.hpp b/modules/core/include/opencv2/core/cuda.hpp
index bc6dd31438..fe7c0a8c48 100644
--- a/modules/core/include/opencv2/core/cuda.hpp
+++ b/modules/core/include/opencv2/core/cuda.hpp
@@ -261,8 +261,8 @@ public:
     int* refcount;
 
     //! helper fields used in locateROI and adjustROI
-    uchar* datastart;
-    uchar* dataend;
+    const uchar* datastart;
+    const uchar* dataend;
 
     //! allocator
     Allocator* allocator;
@@ -349,8 +349,8 @@ public:
     uchar* data;
     int* refcount;
 
-    uchar* datastart;
-    uchar* dataend;
+    const uchar* datastart;
+    const uchar* dataend;
 
     AllocType alloc_type;
 };
diff --git a/modules/core/include/opencv2/core/mat.hpp b/modules/core/include/opencv2/core/mat.hpp
index 945b450303..44501f6de9 100644
--- a/modules/core/include/opencv2/core/mat.hpp
+++ b/modules/core/include/opencv2/core/mat.hpp
@@ -395,7 +395,7 @@ struct CV_EXPORTS UMatData
 
 struct CV_EXPORTS UMatDataAutoLock
 {
-    UMatDataAutoLock(UMatData* u);
+    explicit UMatDataAutoLock(UMatData* u);
     ~UMatDataAutoLock();
     UMatData* u;
 };
@@ -403,7 +403,7 @@ struct CV_EXPORTS UMatDataAutoLock
 
 struct CV_EXPORTS MatSize
 {
-    MatSize(int* _p);
+    explicit MatSize(int* _p);
     Size operator()() const;
     const int& operator[](int i) const;
     int& operator[](int i);
@@ -417,7 +417,7 @@ struct CV_EXPORTS MatSize
 struct CV_EXPORTS MatStep
 {
     MatStep();
-    MatStep(size_t s);
+    explicit MatStep(size_t s);
     const size_t& operator[](int i) const;
     size_t& operator[](int i);
     operator size_t() const;
@@ -918,9 +918,9 @@ public:
     uchar* data;
 
     //! helper fields used in locateROI and adjustROI
-    uchar* datastart;
-    uchar* dataend;
-    uchar* datalimit;
+    const uchar* datastart;
+    const uchar* dataend;
+    const uchar* datalimit;
 
     //! custom allocator
     MatAllocator* allocator;
@@ -1804,9 +1804,9 @@ public:
     //! copy operator
     MatConstIterator& operator = (const MatConstIterator& it);
     //! returns the current matrix element
-    uchar* operator *() const;
+    const uchar* operator *() const;
     //! returns the i-th matrix element, relative to the current
-    uchar* operator [](ptrdiff_t i) const;
+    const uchar* operator [](ptrdiff_t i) const;
 
     //! shifts the iterator forward by the specified number of elements
     MatConstIterator& operator += (ptrdiff_t ofs);
@@ -1831,9 +1831,9 @@ public:
 
     const Mat* m;
     size_t elemSize;
-    uchar* ptr;
-    uchar* sliceStart;
-    uchar* sliceEnd;
+    const uchar* ptr;
+    const uchar* sliceStart;
+    const uchar* sliceEnd;
 };
 
 
@@ -1917,9 +1917,9 @@ public:
     //! constructor that sets the iterator to the specified element of the matrix
     MatIterator_(Mat_<_Tp>* _m, int _row, int _col=0);
     //! constructor that sets the iterator to the specified element of the matrix
-    MatIterator_(const Mat_<_Tp>* _m, Point _pt);
+    MatIterator_(Mat_<_Tp>* _m, Point _pt);
     //! constructor that sets the iterator to the specified element of the matrix
-    MatIterator_(const Mat_<_Tp>* _m, const int* _idx);
+    MatIterator_(Mat_<_Tp>* _m, const int* _idx);
     //! copy constructor
     MatIterator_(const MatIterator_& it);
     //! copy operator
diff --git a/modules/core/include/opencv2/core/mat.inl.hpp b/modules/core/include/opencv2/core/mat.inl.hpp
index dae0e137a8..e44ed2f08f 100644
--- a/modules/core/include/opencv2/core/mat.inl.hpp
+++ b/modules/core/include/opencv2/core/mat.inl.hpp
@@ -438,7 +438,7 @@ Mat::Mat(const std::vector<_Tp>& vec, bool copyData)
     if( !copyData )
     {
         step[0] = step[1] = sizeof(_Tp);
-        data = datastart = (uchar*)&vec[0];
+        datastart = data = (uchar*)&vec[0];
         datalimit = dataend = datastart + rows * step[0];
     }
     else
@@ -453,7 +453,7 @@ Mat::Mat(const Vec<_Tp, n>& vec, bool copyData)
     if( !copyData )
     {
         step[0] = step[1] = sizeof(_Tp);
-        data = datastart = (uchar*)vec.val;
+        datastart = data = (uchar*)vec.val;
         datalimit = dataend = datastart + rows * step[0];
     }
     else
@@ -470,7 +470,7 @@ Mat::Mat(const Matx<_Tp,m,n>& M, bool copyData)
     {
         step[0] = cols * sizeof(_Tp);
         step[1] = sizeof(_Tp);
-        data = datastart = (uchar*)M.val;
+        datastart = data = (uchar*)M.val;
         datalimit = dataend = datastart + rows * step[0];
     }
     else
@@ -485,7 +485,7 @@ Mat::Mat(const Point_<_Tp>& pt, bool copyData)
     if( !copyData )
     {
         step[0] = step[1] = sizeof(_Tp);
-        data = datastart = (uchar*)&pt.x;
+        datastart = data = (uchar*)&pt.x;
         datalimit = dataend = datastart + rows * step[0];
     }
     else
@@ -642,7 +642,7 @@ inline void Mat::release()
     if( u && CV_XADD(&u->refcount, -1) == 1 )
         deallocate();
     u = NULL;
-    data = datastart = dataend = datalimit = 0;
+    datastart = dataend = datalimit = data = 0;
     size.p[0] = 0;
 }
 
@@ -2148,7 +2148,7 @@ MatConstIterator& MatConstIterator::operator = (const MatConstIterator& it )
 }
 
 inline
-uchar* MatConstIterator::operator *() const
+const uchar* MatConstIterator::operator *() const
 {
     return ptr;
 }
@@ -2281,7 +2281,7 @@ MatConstIterator operator - (const MatConstIterator& a, ptrdiff_t ofs)
 
 
 inline
-uchar* MatConstIterator::operator [](ptrdiff_t i) const
+const uchar* MatConstIterator::operator [](ptrdiff_t i) const
 {
     return *(*this + i);
 }
@@ -2453,12 +2453,12 @@ MatIterator_<_Tp>::MatIterator_(Mat_<_Tp>* _m, int _row, int _col)
 {}
 
 template<typename _Tp> inline
-MatIterator_<_Tp>::MatIterator_(const Mat_<_Tp>* _m, Point _pt)
+MatIterator_<_Tp>::MatIterator_(Mat_<_Tp>* _m, Point _pt)
     : MatConstIterator_<_Tp>(_m, _pt)
 {}
 
 template<typename _Tp> inline
-MatIterator_<_Tp>::MatIterator_(const Mat_<_Tp>* _m, const int* _idx)
+MatIterator_<_Tp>::MatIterator_(Mat_<_Tp>* _m, const int* _idx)
     : MatConstIterator_<_Tp>(_m, _idx)
 {}
 
@@ -2592,7 +2592,7 @@ inline SparseMatConstIterator& SparseMatConstIterator::operator = (const SparseM
 template<typename _Tp> inline
 const _Tp& SparseMatConstIterator::value() const
 {
-    return *(_Tp*)ptr;
+    return *(const _Tp*)ptr;
 }
 
 inline
diff --git a/modules/core/src/dxt.cpp b/modules/core/src/dxt.cpp
index c1551acb41..c74d87dcba 100644
--- a/modules/core/src/dxt.cpp
+++ b/modules/core/src/dxt.cpp
@@ -2635,8 +2635,8 @@ void cv::dft( InputArray _src0, OutputArray _dst, int flags, int nonzero_rows )
 
             for( i = 0; i < nonzero_rows; i++ )
             {
-                uchar* sptr = src.data + i*src.step;
-                uchar* dptr0 = dst.data + i*dst.step;
+                const uchar* sptr = src.ptr(i);
+                uchar* dptr0 = dst.ptr(i);
                 uchar* dptr = dptr0;
 
                 if( tmp_buf )
@@ -2649,7 +2649,7 @@ void cv::dft( InputArray _src0, OutputArray _dst, int flags, int nonzero_rows )
 
             for( ; i < count; i++ )
             {
-                uchar* dptr0 = dst.data + i*dst.step;
+                uchar* dptr0 = dst.ptr(i);
                 memset( dptr0, 0, dst_full_len );
             }
 
@@ -2661,7 +2661,7 @@ void cv::dft( InputArray _src0, OutputArray _dst, int flags, int nonzero_rows )
         {
             int a = 0, b = count;
             uchar *buf0, *buf1, *dbuf0, *dbuf1;
-            uchar* sptr0 = src.data;
+            const uchar* sptr0 = src.data;
             uchar* dptr0 = dst.data;
             buf0 = ptr;
             ptr += len*complex_elem_size;
@@ -2800,7 +2800,7 @@ void cv::dft( InputArray _src0, OutputArray _dst, int flags, int nonzero_rows )
                     int n = dst.cols;
                     if( elem_size == (int)sizeof(float) )
                     {
-                        float* p0 = (float*)dst.data;
+                        float* p0 = dst.ptr<float>();
                         size_t dstep = dst.step/sizeof(p0[0]);
                         for( i = 0; i < len; i++ )
                         {
@@ -2816,7 +2816,7 @@ void cv::dft( InputArray _src0, OutputArray _dst, int flags, int nonzero_rows )
                     }
                     else
                     {
-                        double* p0 = (double*)dst.data;
+                        double* p0 = dst.ptr<double>();
                         size_t dstep = dst.step/sizeof(p0[0]);
                         for( i = 0; i < len; i++ )
                         {
diff --git a/modules/core/src/lapack.cpp b/modules/core/src/lapack.cpp
index 8895a56593..45881c3d55 100644
--- a/modules/core/src/lapack.cpp
+++ b/modules/core/src/lapack.cpp
@@ -955,10 +955,10 @@ double cv::invert( InputArray _src, OutputArray _dst, int method )
         SVD::compute(src, w, u, vt);
         SVD::backSubst(w, u, vt, Mat(), _dst);
         return type == CV_32F ?
-            (((float*)w.data)[0] >= FLT_EPSILON ?
-             ((float*)w.data)[n-1]/((float*)w.data)[0] : 0) :
-            (((double*)w.data)[0] >= DBL_EPSILON ?
-             ((double*)w.data)[n-1]/((double*)w.data)[0] : 0);
+            (w.ptr<float>()[0] >= FLT_EPSILON ?
+             w.ptr<float>()[n-1]/w.ptr<float>()[0] : 0) :
+            (w.ptr<double>()[0] >= DBL_EPSILON ?
+             w.ptr<double>()[n-1]/w.ptr<double>()[0] : 0);
     }
 
     CV_Assert( m == n );
@@ -975,10 +975,10 @@ double cv::invert( InputArray _src, OutputArray _dst, int method )
         transpose(vt, u);
         SVD::backSubst(w, u, vt, Mat(), _dst);
         return type == CV_32F ?
-        (((float*)w.data)[0] >= FLT_EPSILON ?
-         ((float*)w.data)[n-1]/((float*)w.data)[0] : 0) :
-        (((double*)w.data)[0] >= DBL_EPSILON ?
-         ((double*)w.data)[n-1]/((double*)w.data)[0] : 0);
+        (w.ptr<float>()[0] >= FLT_EPSILON ?
+         w.ptr<float>()[n-1]/w.ptr<float>()[0] : 0) :
+        (w.ptr<double>()[0] >= DBL_EPSILON ?
+         w.ptr<double>()[n-1]/w.ptr<double>()[0] : 0);
     }
 
     CV_Assert( method == DECOMP_LU || method == DECOMP_CHOLESKY );
@@ -988,7 +988,7 @@ double cv::invert( InputArray _src, OutputArray _dst, int method )
 
     if( n <= 3 )
     {
-        uchar* srcdata = src.data;
+        const uchar* srcdata = src.data;
         uchar* dstdata = dst.data;
         size_t srcstep = src.step;
         size_t dststep = dst.step;
@@ -1212,8 +1212,8 @@ bool cv::solve( InputArray _src, InputArray _src2arg, OutputArray _dst, int meth
         #define bf(y) ((float*)(bdata + y*src2step))[0]
         #define bd(y) ((double*)(bdata + y*src2step))[0]
 
-        uchar* srcdata = src.data;
-        uchar* bdata = _src2.data;
+        const uchar* srcdata = src.data;
+        const uchar* bdata = _src2.data;
         uchar* dstdata = dst.data;
         size_t srcstep = src.step;
         size_t src2step = _src2.step;
@@ -1709,7 +1709,7 @@ cvEigenVV( CvArr* srcarr, CvArr* evectsarr, CvArr* evalsarr, double,
         eigen(src, evals, evects);
         if( evects0.data != evects.data )
         {
-            uchar* p = evects0.data;
+            const uchar* p = evects0.data;
             evects.convertTo(evects0, evects0.type());
             CV_Assert( p == evects0.data );
         }
@@ -1718,7 +1718,7 @@ cvEigenVV( CvArr* srcarr, CvArr* evectsarr, CvArr* evalsarr, double,
         eigen(src, evals);
     if( evals0.data != evals.data )
     {
-        uchar* p = evals0.data;
+        const uchar* p = evals0.data;
         if( evals0.size() == evals.size() )
             evals.convertTo(evals0, evals0.type());
         else if( evals0.type() == evals.type() )
diff --git a/modules/core/src/matrix.cpp b/modules/core/src/matrix.cpp
index 46c8eeac86..a602d7e490 100644
--- a/modules/core/src/matrix.cpp
+++ b/modules/core/src/matrix.cpp
@@ -346,7 +346,7 @@ static void finalizeHdr(Mat& m)
     if( d > 2 )
         m.rows = m.cols = -1;
     if(m.u)
-        m.data = m.datastart = m.u->data;
+        m.datastart = m.data = m.u->data;
     if( m.data )
     {
         m.datalimit = m.datastart + m.size[0]*m.step[0];
@@ -510,7 +510,7 @@ Mat::Mat(int _dims, const int* _sizes, int _type, void* _data, const size_t* _st
       datalimit(0), allocator(0), u(0), size(&rows)
 {
     flags |= CV_MAT_TYPE(_type);
-    data = datastart = (uchar*)_data;
+    datastart = data = (uchar*)_data;
     setSize(*this, _dims, _sizes, _steps, true);
     finalizeHdr(*this);
 }
@@ -549,7 +549,7 @@ static Mat cvMatNDToMat(const CvMatND* m, bool copyData)
 
     if( !m )
         return thiz;
-    thiz.data = thiz.datastart = m->data.ptr;
+    thiz.datastart = thiz.data = m->data.ptr;
     thiz.flags |= CV_MAT_TYPE(m->type);
     int _sizes[CV_MAX_DIM];
     size_t _steps[CV_MAX_DIM];
@@ -587,7 +587,7 @@ static Mat cvMatToMat(const CvMat* m, bool copyData)
         thiz.dims = 2;
         thiz.rows = m->rows;
         thiz.cols = m->cols;
-        thiz.data = thiz.datastart = m->data.ptr;
+        thiz.datastart = thiz.data = m->data.ptr;
         size_t esz = CV_ELEM_SIZE(m->type), minstep = thiz.cols*esz, _step = m->step;
         if( _step == 0 )
             _step = minstep;
@@ -597,7 +597,7 @@ static Mat cvMatToMat(const CvMat* m, bool copyData)
     }
     else
     {
-        thiz.data = thiz.datastart = thiz.dataend = 0;
+        thiz.datastart = thiz.dataend = thiz.data = 0;
         Mat(m->rows, m->cols, m->type, m->data.ptr, m->step).copyTo(thiz);
     }
 
@@ -636,7 +636,7 @@ static Mat iplImageToMat(const IplImage* img, bool copyData)
         m.rows = img->roi->height;
         m.cols = img->roi->width;
         esz = CV_ELEM_SIZE(m.flags);
-        m.data = m.datastart = (uchar*)img->imageData +
+        m.datastart = m.data = (uchar*)img->imageData +
             (selectedPlane ? (img->roi->coi - 1)*m.step*img->height : 0) +
             img->roi->yOffset*m.step[0] + img->roi->xOffset*esz;
     }
@@ -5529,14 +5529,14 @@ double norm( const SparseMat& src, int normType )
     {
         if( normType == NORM_INF )
             for( i = 0; i < N; i++, ++it )
-                result = std::max(result, std::abs((double)*(const float*)it.ptr));
+                result = std::max(result, std::abs((double)it.value<float>()));
         else if( normType == NORM_L1 )
             for( i = 0; i < N; i++, ++it )
-                result += std::abs(*(const float*)it.ptr);
+                result += std::abs(it.value<float>());
         else
             for( i = 0; i < N; i++, ++it )
             {
-                double v = *(const float*)it.ptr;
+                double v = it.value<float>();
                 result += v*v;
             }
     }
@@ -5544,14 +5544,14 @@ double norm( const SparseMat& src, int normType )
     {
         if( normType == NORM_INF )
             for( i = 0; i < N; i++, ++it )
-                result = std::max(result, std::abs(*(const double*)it.ptr));
+                result = std::max(result, std::abs(it.value<double>()));
         else if( normType == NORM_L1 )
             for( i = 0; i < N; i++, ++it )
-                result += std::abs(*(const double*)it.ptr);
+                result += std::abs(it.value<double>());
         else
             for( i = 0; i < N; i++, ++it )
             {
-                double v = *(const double*)it.ptr;
+                double v = it.value<double>();
                 result += v*v;
             }
     }
@@ -5575,7 +5575,7 @@ void minMaxLoc( const SparseMat& src, double* _minval, double* _maxval, int* _mi
         float minval = FLT_MAX, maxval = -FLT_MAX;
         for( i = 0; i < N; i++, ++it )
         {
-            float v = *(const float*)it.ptr;
+            float v = it.value<float>();
             if( v < minval )
             {
                 minval = v;
@@ -5597,7 +5597,7 @@ void minMaxLoc( const SparseMat& src, double* _minval, double* _maxval, int* _mi
         double minval = DBL_MAX, maxval = -DBL_MAX;
         for( i = 0; i < N; i++, ++it )
         {
-            double v = *(const double*)it.ptr;
+            double v = it.value<float>();
             if( v < minval )
             {
                 minval = v;
diff --git a/modules/core/src/stat.cpp b/modules/core/src/stat.cpp
index 7abbde543e..20e8aa5a79 100644
--- a/modules/core/src/stat.cpp
+++ b/modules/core/src/stat.cpp
@@ -782,7 +782,7 @@ cv::Scalar cv::mean( InputArray _src, InputArray _mask )
         int type = src.type();
         if( !mask.empty() )
         {
-            typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC1)(const void *, int, void *, int, IppiSize, Ipp64f *);
+            typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC1)(const void *, int, const void *, int, IppiSize, Ipp64f *);
             ippiMaskMeanFuncC1 ippFuncC1 =
             type == CV_8UC1 ? (ippiMaskMeanFuncC1)ippiMean_8u_C1MR :
             type == CV_16UC1 ? (ippiMaskMeanFuncC1)ippiMean_16u_C1MR :
@@ -795,7 +795,7 @@ cv::Scalar cv::mean( InputArray _src, InputArray _mask )
                     return Scalar(res);
                 setIppErrorStatus();
             }
-            typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC3)(const void *, int, void *, int, IppiSize, int, Ipp64f *);
+            typedef IppStatus (CV_STDCALL* ippiMaskMeanFuncC3)(const void *, int, const void *, int, IppiSize, int, Ipp64f *);
             ippiMaskMeanFuncC3 ippFuncC3 =
             type == CV_8UC3 ? (ippiMaskMeanFuncC3)ippiMean_8u_C3CMR :
             type == CV_16UC3 ? (ippiMaskMeanFuncC3)ippiMean_16u_C3CMR :
@@ -1071,7 +1071,7 @@ void cv::meanStdDev( InputArray _src, OutputArray _mean, OutputArray _sdv, Input
         int type = src.type();
         if( !mask.empty() )
         {
-            typedef IppStatus (CV_STDCALL* ippiMaskMeanStdDevFuncC1)(const void *, int, void *, int, IppiSize, Ipp64f *, Ipp64f *);
+            typedef IppStatus (CV_STDCALL* ippiMaskMeanStdDevFuncC1)(const void *, int, const void *, int, IppiSize, Ipp64f *, Ipp64f *);
             ippiMaskMeanStdDevFuncC1 ippFuncC1 =
             type == CV_8UC1 ? (ippiMaskMeanStdDevFuncC1)ippiMean_StdDev_8u_C1MR :
             type == CV_16UC1 ? (ippiMaskMeanStdDevFuncC1)ippiMean_StdDev_16u_C1MR :
@@ -1083,7 +1083,7 @@ void cv::meanStdDev( InputArray _src, OutputArray _mean, OutputArray _sdv, Input
                     return;
                 setIppErrorStatus();
             }
-            typedef IppStatus (CV_STDCALL* ippiMaskMeanStdDevFuncC3)(const void *, int, void *, int, IppiSize, int, Ipp64f *, Ipp64f *);
+            typedef IppStatus (CV_STDCALL* ippiMaskMeanStdDevFuncC3)(const void *, int, const void *, int, IppiSize, int, Ipp64f *, Ipp64f *);
             ippiMaskMeanStdDevFuncC3 ippFuncC3 =
             type == CV_8UC3 ? (ippiMaskMeanStdDevFuncC3)ippiMean_StdDev_8u_C3CMR :
             type == CV_16UC3 ? (ippiMaskMeanStdDevFuncC3)ippiMean_StdDev_16u_C3CMR :
diff --git a/modules/core/src/umatrix.cpp b/modules/core/src/umatrix.cpp
index 494f3e3c06..14e90603b8 100644
--- a/modules/core/src/umatrix.cpp
+++ b/modules/core/src/umatrix.cpp
@@ -582,7 +582,7 @@ Mat UMat::getMat(int accessFlags) const
     hdr.flags = flags;
     hdr.u = u;
     hdr.datastart = u->data;
-    hdr.data = hdr.datastart + offset;
+    hdr.data = u->data + offset;
     hdr.datalimit = hdr.dataend = u->data + u->size;
     CV_XADD(&hdr.u->refcount, 1);
     return hdr;
diff --git a/modules/features2d/src/brisk.cpp b/modules/features2d/src/brisk.cpp
index f4690eb170..213dd60413 100644
--- a/modules/features2d/src/brisk.cpp
+++ b/modules/features2d/src/brisk.cpp
@@ -427,7 +427,7 @@ BRISK::smoothedIntensity(const cv::Mat& image, const cv::Mat& integral, const fl
   if (dx + dy > 2)
   {
     // now the calculation:
-    uchar* ptr = image.data + x_left + imagecols * y_top;
+    const uchar* ptr = image.data + x_left + imagecols * y_top;
     // first the corners:
     ret_val = A * int(*ptr);
     ptr += dx + 1;
@@ -475,7 +475,7 @@ BRISK::smoothedIntensity(const cv::Mat& image, const cv::Mat& integral, const fl
   }
 
   // now the calculation:
-  uchar* ptr = image.data + x_left + imagecols * y_top;
+  const uchar* ptr = image.data + x_left + imagecols * y_top;
   // first row:
   ret_val = A * int(*ptr);
   ptr++;
@@ -487,7 +487,7 @@ BRISK::smoothedIntensity(const cv::Mat& image, const cv::Mat& integral, const fl
   ret_val += B * int(*ptr);
   // middle ones:
   ptr += imagecols - dx - 1;
-  uchar* end_j = ptr + dy * imagecols;
+  const uchar* end_j = ptr + dy * imagecols;
   for (; ptr < end_j; ptr += imagecols - dx - 1)
   {
     ret_val += r_x_1_i * int(*ptr);
@@ -607,7 +607,7 @@ BRISK::computeDescriptorsAndOrOrientation(InputArray _image, InputArray _mask, s
   int t2;
 
   // the feature orientation
-  uchar* ptr = descriptors.data;
+  const uchar* ptr = descriptors.data;
   for (size_t k = 0; k < ksize; k++)
   {
     cv::KeyPoint& kp = keypoints[k];
@@ -1070,7 +1070,7 @@ BriskScaleSpace::isMax2D(const int layer, const int x_layer, const int y_layer)
 {
   const cv::Mat& scores = pyramid_[layer].scores();
   const int scorescols = scores.cols;
-  uchar* data = scores.data + y_layer * scorescols + x_layer;
+  const uchar* data = scores.data + y_layer * scorescols + x_layer;
   // decision tree:
   const uchar center = (*data);
   data--;
@@ -2140,7 +2140,7 @@ BriskLayer::value(const cv::Mat& mat, float xf, float yf, float scale_in) const
     const int r_y = (int)((yf - y) * 1024);
     const int r_x_1 = (1024 - r_x);
     const int r_y_1 = (1024 - r_y);
-    uchar* ptr = image.data + x + y * imagecols;
+    const uchar* ptr = image.data + x + y * imagecols;
     // just interpolate:
     ret_val = (r_x_1 * r_y_1 * int(*ptr));
     ptr++;
@@ -2186,7 +2186,7 @@ BriskLayer::value(const cv::Mat& mat, float xf, float yf, float scale_in) const
   const int r_y1_i = (int)(r_y1 * scaling);
 
   // now the calculation:
-  uchar* ptr = image.data + x_left + imagecols * y_top;
+  const uchar* ptr = image.data + x_left + imagecols * y_top;
   // first row:
   ret_val = A * int(*ptr);
   ptr++;
@@ -2198,7 +2198,7 @@ BriskLayer::value(const cv::Mat& mat, float xf, float yf, float scale_in) const
   ret_val += B * int(*ptr);
   // middle ones:
   ptr += imagecols - dx - 1;
-  uchar* end_j = ptr + dy * imagecols;
+  const uchar* end_j = ptr + dy * imagecols;
   for (; ptr < end_j; ptr += imagecols - dx - 1)
   {
     ret_val += r_x_1_i * int(*ptr);
diff --git a/modules/imgcodecs/src/grfmt_jpeg2000.cpp b/modules/imgcodecs/src/grfmt_jpeg2000.cpp
index d711846ce8..83fd55a594 100644
--- a/modules/imgcodecs/src/grfmt_jpeg2000.cpp
+++ b/modules/imgcodecs/src/grfmt_jpeg2000.cpp
@@ -154,7 +154,7 @@ bool  Jpeg2KDecoder::readData( Mat& img )
 {
     bool result = false;
     int color = img.channels() > 1;
-    uchar* data = img.data;
+    uchar* data = img.ptr();
     int step = (int)img.step;
     jas_stream_t* stream = (jas_stream_t*)m_stream;
     jas_image_t* image = (jas_image_t*)m_image;
@@ -478,7 +478,7 @@ bool  Jpeg2KEncoder::writeComponent8u( void *__img, const Mat& _img )
 
     for( int y = 0; y < h; y++ )
     {
-        uchar* data = _img.data + _img.step*y;
+        const uchar* data = _img.ptr(y);
         for( int i = 0; i < ncmpts; i++ )
         {
             for( int x = 0; x < w; x++)
@@ -502,7 +502,7 @@ bool  Jpeg2KEncoder::writeComponent16u( void *__img, const Mat& _img )
 
     for( int y = 0; y < h; y++ )
     {
-        uchar* data = _img.data + _img.step*y;
+        const uchar* data = _img.ptr(y);
         for( int i = 0; i < ncmpts; i++ )
         {
             for( int x = 0; x < w; x++)
diff --git a/modules/imgproc/test/test_filter.cpp b/modules/imgproc/test/test_filter.cpp
index a0927b0f39..6b8cb8c472 100644
--- a/modules/imgproc/test/test_filter.cpp
+++ b/modules/imgproc/test/test_filter.cpp
@@ -228,7 +228,7 @@ int CV_MorphologyBaseTest::prepare_test_case( int test_case_idx )
     if( shape == CV_SHAPE_CUSTOM )
     {
         eldata.resize(aperture_size.width*aperture_size.height);
-        uchar* src = test_mat[INPUT][1].data;
+        const uchar* src = test_mat[INPUT][1].data;
         int srcstep = (int)test_mat[INPUT][1].step;
         int i, j, nonzero = 0;
 
diff --git a/modules/imgproc/test/test_imgwarp.cpp b/modules/imgproc/test/test_imgwarp.cpp
index b0897483a2..e08020dbed 100644
--- a/modules/imgproc/test/test_imgwarp.cpp
+++ b/modules/imgproc/test/test_imgwarp.cpp
@@ -344,7 +344,7 @@ static void test_remap( const Mat& src, Mat& dst, const Mat& mapx, const Mat& ma
     int x, y, k;
     int drows = dst.rows, dcols = dst.cols;
     int srows = src.rows, scols = src.cols;
-    uchar* sptr0 = src.data;
+    const uchar* sptr0 = src.data;
     int depth = src.depth(), cn = src.channels();
     int elem_size = (int)src.elemSize();
     int step = (int)(src.step / CV_ELEM_SIZE(depth));
diff --git a/modules/imgproc/test/test_imgwarp_strict.cpp b/modules/imgproc/test/test_imgwarp_strict.cpp
index 034d89014b..02016fb3da 100644
--- a/modules/imgproc/test/test_imgwarp_strict.cpp
+++ b/modules/imgproc/test/test_imgwarp_strict.cpp
@@ -532,7 +532,7 @@ void CV_Resize_Test::resize_1d(const Mat& _src, Mat& _dst, int dy, const dim& _d
             ofs = 3, ksize = 8;
 
         Mat _extended_src_row(1, _src.cols + ksize * 2, _src.type());
-        uchar* srow = _src.data + dy * _src.step;
+        const uchar* srow = _src.ptr(dy);
         memcpy(_extended_src_row.data + elemsize * ksize, srow, _src.step);
         for (int k = 0; k < ksize; ++k)
         {

From 6b05ca589d689e13c431f60d98e6a4abd5d6c7ff Mon Sep 17 00:00:00 2001
From: Adil Ibragimov <adil.mipt@gmail.com>
Date: Thu, 7 Aug 2014 17:06:22 +0400
Subject: [PATCH 57/92] fixing Mac build

---
 modules/core/include/opencv2/core/mat.inl.hpp | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/core/include/opencv2/core/mat.inl.hpp b/modules/core/include/opencv2/core/mat.inl.hpp
index e44ed2f08f..6923146f94 100644
--- a/modules/core/include/opencv2/core/mat.inl.hpp
+++ b/modules/core/include/opencv2/core/mat.inl.hpp
@@ -504,7 +504,7 @@ Mat::Mat(const Point3_<_Tp>& pt, bool copyData)
     if( !copyData )
     {
         step[0] = step[1] = sizeof(_Tp);
-        data = datastart = (uchar*)&pt.x;
+        datastart = data = (uchar*)&pt.x;
         datalimit = dataend = datastart + rows * step[0];
     }
     else
@@ -1044,7 +1044,7 @@ void Mat::push_back(const _Tp& elem)
     }
     CV_Assert(DataType<_Tp>::type == type() && cols == 1
               /* && dims == 2 (cols == 1 implies dims == 2) */);
-    uchar* tmp = dataend + step[0];
+    const uchar* tmp = dataend + step[0];
     if( !isSubmatrix() && isContinuous() && tmp <= datalimit )
     {
         *(_Tp*)(data + (size.p[0]++) * step.p[0]) = elem;

From 8dab2ffce74b671d7c9bad92888da82e4275fd39 Mon Sep 17 00:00:00 2001
From: Adil Ibragimov <adil.mipt@gmail.com>
Date: Thu, 7 Aug 2014 17:43:32 +0400
Subject: [PATCH 58/92] fixing error, wrong template method param.

---
 modules/core/src/matrix.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/core/src/matrix.cpp b/modules/core/src/matrix.cpp
index a602d7e490..fb0f0462ed 100644
--- a/modules/core/src/matrix.cpp
+++ b/modules/core/src/matrix.cpp
@@ -5597,7 +5597,7 @@ void minMaxLoc( const SparseMat& src, double* _minval, double* _maxval, int* _mi
         double minval = DBL_MAX, maxval = -DBL_MAX;
         for( i = 0; i < N; i++, ++it )
         {
-            double v = it.value<float>();
+            double v = it.value<double>();
             if( v < minval )
             {
                 minval = v;

From 6ad4521b781184df5268dd9337fb6deafd052bca Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Fri, 8 Aug 2014 13:11:35 +0400
Subject: [PATCH 59/92] Fixed typos

---
 modules/core/src/opencl/fft.cl     | 4 ++--
 modules/core/test/ocl/test_dft.cpp | 4 ++--
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/modules/core/src/opencl/fft.cl b/modules/core/src/opencl/fft.cl
index 1268c4d6e4..b56f5c1dc2 100644
--- a/modules/core/src/opencl/fft.cl
+++ b/modules/core/src/opencl/fft.cl
@@ -424,7 +424,7 @@ void fft_radix3_B3(__local float2* smem, __global const float2* twiddles, const
     const int x3 = x2 + t/3;
     float2 a0, a1, a2, a3, a4, a5, a6, a7, a8;
 
-    if (x1 < t/2)
+    if (x1 < t/3)
     {
         a0 = smem[x1]; a1 = smem[x1+t]; a2 = smem[x1+2*t];
         a3 = smem[x2]; a4 = smem[x2+t]; a5 = smem[x2+2*t];
@@ -433,7 +433,7 @@ void fft_radix3_B3(__local float2* smem, __global const float2* twiddles, const
 
     barrier(CLK_LOCAL_MEM_FENCE);
 
-    if (x1 < t/2)
+    if (x1 < t/3)
     {
         butterfly3(a0, a1, a2, smem, twiddles, x1, block_size);
         butterfly3(a3, a4, a5, smem, twiddles, x2, block_size);
diff --git a/modules/core/test/ocl/test_dft.cpp b/modules/core/test/ocl/test_dft.cpp
index db280f19cf..afad19613f 100644
--- a/modules/core/test/ocl/test_dft.cpp
+++ b/modules/core/test/ocl/test_dft.cpp
@@ -108,7 +108,7 @@ OCL_TEST_P(Dft, Mat)
 {
     generateTestData();
 
-    int nonzero_rows = hint ? src.cols - randomInt(1, src.rows-1) : 0;
+    int nonzero_rows = hint ? src.rows - randomInt(1, src.rows-1) : 0;
     OCL_OFF(cv::dft(src, dst, dft_flags, nonzero_rows));
     OCL_ON(cv::dft(usrc, udst, dft_flags, nonzero_rows));
 
@@ -175,7 +175,7 @@ OCL_TEST_P(MulSpectrums, Mat)
 
 OCL_INSTANTIATE_TEST_CASE_P(OCL_ImgProc, MulSpectrums, testing::Combine(Bool(), Bool()));
 
-OCL_INSTANTIATE_TEST_CASE_P(Core, Dft, Combine(Values(cv::Size(10, 10), cv::Size(36, 36), cv::Size(512, 1), cv::Size(1280, 768)),
+OCL_INSTANTIATE_TEST_CASE_P(Core, Dft, Combine(Values(cv::Size(45, 72), cv::Size(36, 36), cv::Size(512, 1), cv::Size(1280, 768)),
                                                Values((OCL_FFT_TYPE) R2C, (OCL_FFT_TYPE) C2C, (OCL_FFT_TYPE) R2R, (OCL_FFT_TYPE) C2R),
                                                Bool(), // DFT_INVERSE
                                                Bool(), // DFT_ROWS

From b5f251c8159ccff82f5342c74eb1c313fa98c024 Mon Sep 17 00:00:00 2001
From: Elena Gvozdeva <elena.gvozdeva@itseez.com>
Date: Thu, 7 Aug 2014 16:00:25 +0400
Subject: [PATCH 60/92] fixed test ocl_MatchTemplate for sparse matrix

---
 modules/imgproc/src/templmatch.cpp            |  5 ++--
 .../imgproc/test/ocl/test_match_template.cpp  | 21 +++++++-------
 modules/ts/include/opencv2/ts/ocl_test.hpp    | 29 +++++++++++++++++++
 3 files changed, 43 insertions(+), 12 deletions(-)

diff --git a/modules/imgproc/src/templmatch.cpp b/modules/imgproc/src/templmatch.cpp
index df2e19cc47..33c1e15bd6 100644
--- a/modules/imgproc/src/templmatch.cpp
+++ b/modules/imgproc/src/templmatch.cpp
@@ -454,14 +454,15 @@ static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArr
 
     if (cn==1)
     {
-        float templ_sum = static_cast<float>(sum(_templ)[0]) / tsize.area();
+        Scalar templMean = mean(templ);
+        float templ_sum = (float)templMean[0];
 
         k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, templ_sum);
     }
     else
     {
         Vec4f templ_sum = Vec4f::all(0);
-        templ_sum = sum(templ) / tsize.area();
+        templ_sum = (Vec4f)mean(templ);
 
        k.args(ocl::KernelArg::ReadOnlyNoSize(image_sums), ocl::KernelArg::ReadWrite(result), templ.rows, templ.cols, templ_sum);    }
 
diff --git a/modules/imgproc/test/ocl/test_match_template.cpp b/modules/imgproc/test/ocl/test_match_template.cpp
index 1d1352adfd..6cf0fe4f30 100644
--- a/modules/imgproc/test/ocl/test_match_template.cpp
+++ b/modules/imgproc/test/ocl/test_match_template.cpp
@@ -97,9 +97,17 @@ PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, MatchTemplType, bool)
         UMAT_UPLOAD_OUTPUT_PARAMETER(result);
     }
 
-    void Near(double threshold = 0.0)
+    void Near()
     {
-        OCL_EXPECT_MATS_NEAR(result, threshold);
+        bool isNormed =
+        method == TM_CCORR_NORMED ||
+        method == TM_SQDIFF_NORMED ||
+        method == TM_CCOEFF_NORMED;
+
+        if (isNormed)
+            OCL_EXPECT_MATS_NEAR(result, 3e-2);
+        else
+            OCL_EXPECT_MATS_NEAR_RELATIVE_SPARSE(result, 1.5e-2);
     }
 };
 
@@ -112,14 +120,7 @@ OCL_TEST_P(MatchTemplate, Mat)
         OCL_OFF(cv::matchTemplate(image_roi, templ_roi, result_roi, method));
         OCL_ON(cv::matchTemplate(uimage_roi, utempl_roi, uresult_roi, method));
 
-        bool isNormed =
-        method == TM_CCORR_NORMED ||
-        method == TM_SQDIFF_NORMED ||
-        method == TM_CCOEFF_NORMED;
-
-        double eps = isNormed ? 3e-2 : 255.0 * 255.0 * templ.total() * 2e-5;
-
-        Near(eps);
+        Near();
     }
 }
 
diff --git a/modules/ts/include/opencv2/ts/ocl_test.hpp b/modules/ts/include/opencv2/ts/ocl_test.hpp
index 3703b7b9f7..559f4aa32b 100644
--- a/modules/ts/include/opencv2/ts/ocl_test.hpp
+++ b/modules/ts/include/opencv2/ts/ocl_test.hpp
@@ -159,6 +159,25 @@ do \
         << "Size: " << name ## _roi.size() << std::endl; \
 } while ((void)0, 0)
 
+//for sparse matrix
+#define OCL_EXPECT_MATS_NEAR_RELATIVE_SPARSE(name, eps) \
+do \
+{ \
+    ASSERT_EQ(name ## _roi.type(), u ## name ## _roi.type()); \
+    ASSERT_EQ(name ## _roi.size(), u ## name ## _roi.size()); \
+    EXPECT_LE(TestUtils::checkNormRelativeSparse(name ## _roi, u ## name ## _roi), eps) \
+        << "Size: " << name ## _roi.size() << std::endl; \
+    Point _offset; \
+    Size _wholeSize; \
+    name ## _roi.locateROI(_wholeSize, _offset); \
+    Mat _mask(name.size(), CV_8UC1, Scalar::all(255)); \
+    _mask(Rect(_offset, name ## _roi.size())).setTo(Scalar::all(0)); \
+    ASSERT_EQ(name.type(), u ## name.type()); \
+    ASSERT_EQ(name.size(), u ## name.size()); \
+    EXPECT_LE(TestUtils::checkNormRelativeSparse(name, u ## name, _mask), eps) \
+        << "Size: " << name ## _roi.size() << std::endl; \
+} while ((void)0, 0)
+
 #define EXPECT_MAT_SIMILAR(mat1, mat2, eps) \
 do \
 { \
@@ -274,6 +293,16 @@ struct CV_EXPORTS TestUtils
                 std::max((double)std::numeric_limits<float>::epsilon(),
                          (double)std::max(cvtest::norm(m1.getMat(), cv::NORM_INF), cvtest::norm(m2.getMat(), cv::NORM_INF)));
     }
+
+    static inline double checkNormRelativeSparse(InputArray m1, InputArray m2, InputArray mask = noArray())
+    {
+        double norm_inf = cvtest::norm(m1.getMat(), m2.getMat(), cv::NORM_INF, mask);
+        double norm_rel = norm_inf /
+                std::max((double)std::numeric_limits<float>::epsilon(),
+                         (double)std::max(cvtest::norm(m1.getMat(), cv::NORM_INF), cvtest::norm(m2.getMat(), cv::NORM_INF)));
+        return std::min(norm_inf, norm_rel);
+    }
+
 };
 
 #define TEST_DECLARE_INPUT_PARAMETER(name) Mat name, name ## _roi; UMat u ## name, u ## name ## _roi

From 03435c0d74a3a0e1937c5afe7def304901d00e4d Mon Sep 17 00:00:00 2001
From: Alexander Alekhin <alexander.alekhin@itseez.com>
Date: Fri, 8 Aug 2014 15:57:54 +0400
Subject: [PATCH 61/92] fix IOS framework

---
 modules/videoio/CMakeLists.txt |  5 ++++-
 modules/world/CMakeLists.txt   | 23 +++++++++++++++++++++++
 2 files changed, 27 insertions(+), 1 deletion(-)

diff --git a/modules/videoio/CMakeLists.txt b/modules/videoio/CMakeLists.txt
index f92f5ea689..94907575d3 100644
--- a/modules/videoio/CMakeLists.txt
+++ b/modules/videoio/CMakeLists.txt
@@ -27,7 +27,10 @@ set(videoio_srcs
     ${CMAKE_CURRENT_LIST_DIR}/src/cap_ffmpeg.cpp
     )
 
-file(GLOB videoio_ext_hdrs "include/opencv2/*.hpp" "include/opencv2/${name}/*.hpp" "include/opencv2/${name}/*.h")
+file(GLOB videoio_ext_hdrs
+    "${CMAKE_CURRENT_LIST_DIR}/include/opencv2/*.hpp"
+    "${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/*.hpp"
+    "${CMAKE_CURRENT_LIST_DIR}/include/opencv2/${name}/*.h")
 
 if(WIN32 AND NOT ARM)
   list(APPEND videoio_srcs ${CMAKE_CURRENT_LIST_DIR}/src/cap_cmu.cpp)
diff --git a/modules/world/CMakeLists.txt b/modules/world/CMakeLists.txt
index 4e05188e03..d2f5cb1682 100644
--- a/modules/world/CMakeLists.txt
+++ b/modules/world/CMakeLists.txt
@@ -53,3 +53,26 @@ endif()
 if(BUILD_opencv_highgui)
   ocv_highgui_configure_target()
 endif()
+
+if(IOS OR APPLE)
+  set(merge_libs "")
+  macro(ios_include_3party_libs)
+    foreach(l ${ARGN})
+      add_dependencies(${the_module} ${l})
+      list(APPEND merge_libs "$<TARGET_LINKER_FILE:${l}>")
+    endforeach()
+  endmacro()
+
+  if(WITH_PNG)
+    ios_include_3party_libs(zlib libpng)
+  endif()
+
+  if(WITH_JPEG)
+    ios_include_3party_libs(libjpeg)
+  endif()
+
+  add_custom_command(TARGET ${the_module} POST_BUILD
+    COMMAND /usr/bin/libtool -static -o ${CMAKE_CURRENT_BINARY_DIR}/${the_module}_fat.a $<TARGET_LINKER_FILE:${the_module}> ${merge_libs}
+    COMMAND mv ${CMAKE_CURRENT_BINARY_DIR}/${the_module}_fat.a $<TARGET_LINKER_FILE:${the_module}>
+  )
+endif()

From b7899c3d5c80b7e82fce5cfbbb0573383dd04179 Mon Sep 17 00:00:00 2001
From: Elena Gvozdeva <elena.gvozdeva@itseez.com>
Date: Fri, 8 Aug 2014 11:09:10 +0400
Subject: [PATCH 62/92] small fix for ocl_resize

---
 modules/imgproc/src/imgwarp.cpp        | 5 +++--
 modules/imgproc/test/ocl/test_warp.cpp | 4 ++--
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/modules/imgproc/src/imgwarp.cpp b/modules/imgproc/src/imgwarp.cpp
index 907fa445de..b2619883e0 100644
--- a/modules/imgproc/src/imgwarp.cpp
+++ b/modules/imgproc/src/imgwarp.cpp
@@ -2074,7 +2074,8 @@ static bool ocl_resize( InputArray _src, OutputArray _dst, Size dsize,
     // datatypes because the observed error is low.
     bool useSampler = (interpolation == INTER_LINEAR && ocl::Device::getDefault().imageSupport() &&
                        ocl::Image2D::canCreateAlias(src) && depth <= 4 &&
-                       ocl::Image2D::isFormatSupported(depth, cn, true));
+                       ocl::Image2D::isFormatSupported(depth, cn, true) &&
+                       src.offset==0);
     if (useSampler)
     {
         int wdepth = std::max(depth, CV_32S);
@@ -2380,7 +2381,7 @@ void cv::resize( InputArray _src, OutputArray _dst, Size dsize,
         inv_scale_y = (double)dsize.height/ssize.height;
     }
 
-    CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat(),
+    CV_OCL_RUN(_src.dims() <= 2 && _dst.isUMat() && _src.cols() > 10 && _src.rows() > 10,
                ocl_resize(_src, _dst, dsize, inv_scale_x, inv_scale_y, interpolation))
 
     Mat src = _src.getMat();
diff --git a/modules/imgproc/test/ocl/test_warp.cpp b/modules/imgproc/test/ocl/test_warp.cpp
index 0bcc330c70..3067abaf66 100644
--- a/modules/imgproc/test/ocl/test_warp.cpp
+++ b/modules/imgproc/test/ocl/test_warp.cpp
@@ -182,7 +182,7 @@ PARAM_TEST_CASE(Resize, MatType, double, double, Interpolation, bool, int)
     {
         CV_Assert(fx > 0 && fy > 0);
 
-        Size srcRoiSize = randomSize(1, MAX_VALUE), dstRoiSize;
+        Size srcRoiSize = randomSize(10, MAX_VALUE), dstRoiSize;
         // Make sure the width is a multiple of the requested value, and no more
         srcRoiSize.width += widthMultiple - 1 - (srcRoiSize.width - 1) % widthMultiple;
         dstRoiSize.width = cvRound(srcRoiSize.width * fx);
@@ -215,7 +215,7 @@ OCL_TEST_P(Resize, Mat)
     for (int j = 0; j < test_loop_times; j++)
     {
         int depth = CV_MAT_DEPTH(type);
-        double eps = depth <= CV_32S ? 1 : 1e-2;
+        double eps = depth <= CV_32S ? 1 : 5e-2;
 
         random_roi();
 

From 4c54b287e4b14d4c79cb1f64c90ebf095c982e38 Mon Sep 17 00:00:00 2001
From: Maksim Shabunin <Maksim.Shabunin@itseez.com>
Date: Fri, 8 Aug 2014 16:55:10 +0400
Subject: [PATCH 63/92] Revert "Fix local variable shadowing"

This reverts commit 2f8b5731dabb3162ca62a0e1901bb13f0ed83e4c.
---
 modules/flann/include/opencv2/flann/lsh_index.h | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/flann/include/opencv2/flann/lsh_index.h b/modules/flann/include/opencv2/flann/lsh_index.h
index 23988d436a..2530a0143a 100644
--- a/modules/flann/include/opencv2/flann/lsh_index.h
+++ b/modules/flann/include/opencv2/flann/lsh_index.h
@@ -118,8 +118,8 @@ public:
             if( (indices.size() == feature_size_ * CHAR_BIT) || (indices.size() < key_size_) )
             {
               indices.resize( feature_size_ * CHAR_BIT );
-              for (size_t j = 0; j < feature_size_ * CHAR_BIT; ++j)
-                  indices[j] = j;
+              for (size_t i = 0; i < feature_size_ * CHAR_BIT; ++i)
+                  indices[i] = i;
               std::random_shuffle(indices.begin(), indices.end());
             }
 

From 0be18aca81aa154f4020bf0296d93765463fb39c Mon Sep 17 00:00:00 2001
From: Maksim Shabunin <Maksim.Shabunin@itseez.com>
Date: Fri, 8 Aug 2014 16:58:35 +0400
Subject: [PATCH 64/92] Revert "Allows to choose orthogonal sub-vectors for LSH
 without using a static table among LshTable instances"

This reverts commit e63d7de87c3565555e4a73220a465ed39488160d.
---
 .../flann/include/opencv2/flann/lsh_index.h   | 14 +--------
 .../flann/include/opencv2/flann/lsh_table.h   | 30 ++++++++++++++-----
 2 files changed, 23 insertions(+), 21 deletions(-)

diff --git a/modules/flann/include/opencv2/flann/lsh_index.h b/modules/flann/include/opencv2/flann/lsh_index.h
index 2530a0143a..4d4670ea50 100644
--- a/modules/flann/include/opencv2/flann/lsh_index.h
+++ b/modules/flann/include/opencv2/flann/lsh_index.h
@@ -109,22 +109,10 @@ public:
      */
     void buildIndex()
     {
-        std::vector<size_t> indices(feature_size_ * CHAR_BIT);
-
         tables_.resize(table_number_);
         for (unsigned int i = 0; i < table_number_; ++i) {
-
-            //re-initialize the random indices table that the LshTable will use to pick its sub-dimensions
-            if( (indices.size() == feature_size_ * CHAR_BIT) || (indices.size() < key_size_) )
-            {
-              indices.resize( feature_size_ * CHAR_BIT );
-              for (size_t i = 0; i < feature_size_ * CHAR_BIT; ++i)
-                  indices[i] = i;
-              std::random_shuffle(indices.begin(), indices.end());
-            }
-
             lsh::LshTable<ElementType>& table = tables_[i];
-            table = lsh::LshTable<ElementType>(feature_size_, key_size_, indices);
+            table = lsh::LshTable<ElementType>(feature_size_, key_size_);
 
             // Add the features to the table
             table.add(dataset_);
diff --git a/modules/flann/include/opencv2/flann/lsh_table.h b/modules/flann/include/opencv2/flann/lsh_table.h
index 956e14ef15..5da0e3f369 100644
--- a/modules/flann/include/opencv2/flann/lsh_table.h
+++ b/modules/flann/include/opencv2/flann/lsh_table.h
@@ -153,7 +153,7 @@ public:
      * @param feature_size is the size of the feature (considered as a ElementType[])
      * @param key_size is the number of bits that are turned on in the feature
      */
-    LshTable(unsigned int /*feature_size*/, unsigned int /*key_size*/, std::vector<size_t> & /*indices*/)
+    LshTable(unsigned int /*feature_size*/, unsigned int /*key_size*/)
     {
         std::cerr << "LSH is not implemented for that type" << std::endl;
         assert(0);
@@ -339,20 +339,34 @@ private:
 // Specialization for unsigned char
 
 template<>
-inline LshTable<unsigned char>::LshTable( unsigned int feature_size,
-                                          unsigned int subsignature_size,
-                                          std::vector<size_t> & indices  )
+inline LshTable<unsigned char>::LshTable(unsigned int feature_size, unsigned int subsignature_size)
 {
     initialize(subsignature_size);
     // Allocate the mask
     mask_ = std::vector<size_t>((size_t)ceil((float)(feature_size * sizeof(char)) / (float)sizeof(size_t)), 0);
 
+    // A bit brutal but fast to code
+    static std::vector<size_t>* indices = NULL;
+
+    //Ensure the Nth bit will be selected only once among the different LshTables
+    //to avoid having two different tables with signatures sharing many dimensions/many bits
+    if( indices == NULL )
+    {
+        indices = new std::vector<size_t>( feature_size * CHAR_BIT );
+    }
+    else if( indices->size() < key_size_ )
+    {
+      indices->resize( feature_size * CHAR_BIT );
+      for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) {
+          (*indices)[i] = i;
+      }
+      std::random_shuffle(indices->begin(), indices->end());
+    }
+
     // Generate a random set of order of subsignature_size_ bits
     for (unsigned int i = 0; i < key_size_; ++i) {
-        //Ensure the Nth bit will be selected only once among the different LshTables
-        //to avoid having two different tables with signatures sharing many dimensions/many bits
-        size_t index = indices[0];
-        indices.erase( indices.begin() );
+        size_t index = (*indices)[0];
+        indices->erase( indices->begin() );
 
         // Set that bit in the mask
         size_t divisor = CHAR_BIT * sizeof(size_t);

From 032c363ea0073e75eb46ec9de3dd75bf45d954d9 Mon Sep 17 00:00:00 2001
From: Maksim Shabunin <Maksim.Shabunin@itseez.com>
Date: Fri, 8 Aug 2014 16:59:13 +0400
Subject: [PATCH 65/92] Revert "Fix a heap issue with static on Windows"

This reverts commit 8e93c19de311a76704028b0195abfe04cfad900d.
---
 .../flann/include/opencv2/flann/lsh_table.h   | 20 +++++++------------
 1 file changed, 7 insertions(+), 13 deletions(-)

diff --git a/modules/flann/include/opencv2/flann/lsh_table.h b/modules/flann/include/opencv2/flann/lsh_table.h
index 5da0e3f369..737a4f5333 100644
--- a/modules/flann/include/opencv2/flann/lsh_table.h
+++ b/modules/flann/include/opencv2/flann/lsh_table.h
@@ -346,27 +346,21 @@ inline LshTable<unsigned char>::LshTable(unsigned int feature_size, unsigned int
     mask_ = std::vector<size_t>((size_t)ceil((float)(feature_size * sizeof(char)) / (float)sizeof(size_t)), 0);
 
     // A bit brutal but fast to code
-    static std::vector<size_t>* indices = NULL;
+    static std::vector<size_t> indices(feature_size * CHAR_BIT);
 
     //Ensure the Nth bit will be selected only once among the different LshTables
     //to avoid having two different tables with signatures sharing many dimensions/many bits
-    if( indices == NULL )
+    if( (indices.size() == feature_size * CHAR_BIT) || (indices.size() < key_size_) )
     {
-        indices = new std::vector<size_t>( feature_size * CHAR_BIT );
-    }
-    else if( indices->size() < key_size_ )
-    {
-      indices->resize( feature_size * CHAR_BIT );
-      for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) {
-          (*indices)[i] = i;
-      }
-      std::random_shuffle(indices->begin(), indices->end());
+      indices.resize( feature_size * CHAR_BIT );
+      for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) indices[i] = i;
+      std::random_shuffle(indices.begin(), indices.end());
     }
 
     // Generate a random set of order of subsignature_size_ bits
     for (unsigned int i = 0; i < key_size_; ++i) {
-        size_t index = (*indices)[0];
-        indices->erase( indices->begin() );
+        size_t index = indices[0];
+        indices.erase( indices.begin() );
 
         // Set that bit in the mask
         size_t divisor = CHAR_BIT * sizeof(size_t);

From f908c2b0e313dd01fb8bf033674e70e147eab4da Mon Sep 17 00:00:00 2001
From: Maksim Shabunin <Maksim.Shabunin@itseez.com>
Date: Fri, 8 Aug 2014 16:59:24 +0400
Subject: [PATCH 66/92] Revert "Avoid obtaining several identical dimensions
 between two LSH sub-vectors by choosing orthogonal sub-vectors."

This reverts commit e85bacff7b676a7789bea6501e694cac299b21be.
---
 modules/flann/include/opencv2/flann/lsh_table.h | 16 ++++------------
 1 file changed, 4 insertions(+), 12 deletions(-)

diff --git a/modules/flann/include/opencv2/flann/lsh_table.h b/modules/flann/include/opencv2/flann/lsh_table.h
index 737a4f5333..2c99a3aee4 100644
--- a/modules/flann/include/opencv2/flann/lsh_table.h
+++ b/modules/flann/include/opencv2/flann/lsh_table.h
@@ -346,21 +346,13 @@ inline LshTable<unsigned char>::LshTable(unsigned int feature_size, unsigned int
     mask_ = std::vector<size_t>((size_t)ceil((float)(feature_size * sizeof(char)) / (float)sizeof(size_t)), 0);
 
     // A bit brutal but fast to code
-    static std::vector<size_t> indices(feature_size * CHAR_BIT);
-
-    //Ensure the Nth bit will be selected only once among the different LshTables
-    //to avoid having two different tables with signatures sharing many dimensions/many bits
-    if( (indices.size() == feature_size * CHAR_BIT) || (indices.size() < key_size_) )
-    {
-      indices.resize( feature_size * CHAR_BIT );
-      for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) indices[i] = i;
-      std::random_shuffle(indices.begin(), indices.end());
-    }
+    std::vector<size_t> indices(feature_size * CHAR_BIT);
+    for (size_t i = 0; i < feature_size * CHAR_BIT; ++i) indices[i] = i;
+    std::random_shuffle(indices.begin(), indices.end());
 
     // Generate a random set of order of subsignature_size_ bits
     for (unsigned int i = 0; i < key_size_; ++i) {
-        size_t index = indices[0];
-        indices.erase( indices.begin() );
+        size_t index = indices[i];
 
         // Set that bit in the mask
         size_t divisor = CHAR_BIT * sizeof(size_t);

From 7849c35de1c6385f0b6633d4730415cfeeaae38a Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Fri, 8 Aug 2014 17:14:38 +0400
Subject: [PATCH 67/92] Changed check condition in tests for warpAffine and
 warpPerspective

---
 modules/imgproc/test/ocl/test_warp.cpp | 13 ++++++++++---
 1 file changed, 10 insertions(+), 3 deletions(-)

diff --git a/modules/imgproc/test/ocl/test_warp.cpp b/modules/imgproc/test/ocl/test_warp.cpp
index 0bcc330c70..95128fd5c2 100644
--- a/modules/imgproc/test/ocl/test_warp.cpp
+++ b/modules/imgproc/test/ocl/test_warp.cpp
@@ -72,6 +72,7 @@ PARAM_TEST_CASE(WarpTestBase, MatType, Interpolation, bool, bool)
     int type, interpolation;
     Size dsize;
     bool useRoi, mapInverse;
+    int depth;
 
     TEST_DECLARE_INPUT_PARAMETER(src);
     TEST_DECLARE_OUTPUT_PARAMETER(dst);
@@ -82,6 +83,7 @@ PARAM_TEST_CASE(WarpTestBase, MatType, Interpolation, bool, bool)
         interpolation = GET_PARAM(1);
         mapInverse = GET_PARAM(2);
         useRoi = GET_PARAM(3);
+        depth = CV_MAT_DEPTH(type);
 
         if (mapInverse)
             interpolation |= WARP_INVERSE_MAP;
@@ -104,7 +106,10 @@ PARAM_TEST_CASE(WarpTestBase, MatType, Interpolation, bool, bool)
 
     void Near(double threshold = 0.0)
     {
-        OCL_EXPECT_MATS_NEAR(dst, threshold);
+        if (depth < CV_32F)
+            EXPECT_MAT_N_DIFF(dst_roi, udst_roi, cvRound(dst_roi.total()*threshold));
+        else
+            OCL_EXPECT_MATS_NEAR_RELATIVE(dst, threshold);
     }
 };
 
@@ -116,6 +121,7 @@ OCL_TEST_P(WarpAffine, Mat)
 {
     for (int j = 0; j < test_loop_times; j++)
     {
+        double eps = depth < CV_32F ? 0.03 : 0.06;
         random_roi();
 
         Mat M = getRotationMatrix2D(Point2f(src_roi.cols / 2.0f, src_roi.rows / 2.0f),
@@ -124,7 +130,7 @@ OCL_TEST_P(WarpAffine, Mat)
         OCL_OFF(cv::warpAffine(src_roi, dst_roi, M, dsize, interpolation));
         OCL_ON(cv::warpAffine(usrc_roi, udst_roi, M, dsize, interpolation));
 
-        Near(1.0);
+        Near(eps);
     }
 }
 
@@ -136,6 +142,7 @@ OCL_TEST_P(WarpPerspective, Mat)
 {
     for (int j = 0; j < test_loop_times; j++)
     {
+        double eps = depth < CV_32F ? 0.03 : 0.06;
         random_roi();
 
         float cols = static_cast<float>(src_roi.cols), rows = static_cast<float>(src_roi.rows);
@@ -150,7 +157,7 @@ OCL_TEST_P(WarpPerspective, Mat)
         OCL_OFF(cv::warpPerspective(src_roi, dst_roi, M, dsize, interpolation));
         OCL_ON(cv::warpPerspective(usrc_roi, udst_roi, M, dsize, interpolation));
 
-        Near(1.0);
+        Near(eps);
     }
 }
 

From b3a54d588ba82565bb4abbe8ff8913ed825ad306 Mon Sep 17 00:00:00 2001
From: Alexander Alekhin <alexander.alekhin@itseez.com>
Date: Fri, 8 Aug 2014 17:24:59 +0400
Subject: [PATCH 68/92] fix binary package build

---
 cmake/OpenCVDetectPython.cmake | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/cmake/OpenCVDetectPython.cmake b/cmake/OpenCVDetectPython.cmake
index 4b71052685..91e62e38c6 100644
--- a/cmake/OpenCVDetectPython.cmake
+++ b/cmake/OpenCVDetectPython.cmake
@@ -26,6 +26,12 @@ function(find_python preferred_version min_version library_env include_dir_env
          libs_found libs_version_string libraries library debug_libraries
          debug_library include_path include_dir include_dir2 packages_path
          numpy_include_dirs numpy_version)
+
+  ocv_check_environment_variables(${executable})
+  if(${executable})
+    set(PYTHON_EXECUTABLE "${${executable}}")
+  endif()
+
   if(WIN32 AND NOT ${executable})
     # search for executable with the same bitness as resulting binaries
     # standard FindPythonInterp always prefers executable from system path

From 7cba3ac4f87a8289ea7a1b5212605456dd0ec21b Mon Sep 17 00:00:00 2001
From: Elena Gvozdeva <elena.gvozdeva@itseez.com>
Date: Fri, 8 Aug 2014 17:47:37 +0400
Subject: [PATCH 69/92] small fix for GaussianBlur ocl test

---
 modules/imgproc/test/ocl/test_filters.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/imgproc/test/ocl/test_filters.cpp b/modules/imgproc/test/ocl/test_filters.cpp
index 35e4aa8f81..3037735e08 100644
--- a/modules/imgproc/test/ocl/test_filters.cpp
+++ b/modules/imgproc/test/ocl/test_filters.cpp
@@ -225,7 +225,7 @@ OCL_TEST_P(GaussianBlurTest, Mat)
         OCL_OFF(cv::GaussianBlur(src_roi, dst_roi, Size(ksize, ksize), sigma1, sigma2, borderType));
         OCL_ON(cv::GaussianBlur(usrc_roi, udst_roi, Size(ksize, ksize), sigma1, sigma2, borderType));
 
-        Near(CV_MAT_DEPTH(type) >= CV_32F ? 5e-5 : 1, false);
+        Near(CV_MAT_DEPTH(type) >= CV_32F ? 7e-5 : 1, false);
     }
 }
 

From 0224a20ff6d0cf051cf818efb364048a2dcb716d Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Fri, 8 Aug 2014 22:33:40 +0400
Subject: [PATCH 70/92] ECC patch by the author (G. Evangelidis); fixed some
 OCL Farneback optical flow test failures on Mac

---
 modules/video/src/ecc.cpp       |  7 ++++++-
 modules/video/src/optflowgf.cpp | 16 ++++++++++------
 2 files changed, 16 insertions(+), 7 deletions(-)

diff --git a/modules/video/src/ecc.cpp b/modules/video/src/ecc.cpp
index f56e1f24b5..8c5fbee790 100644
--- a/modules/video/src/ecc.cpp
+++ b/modules/video/src/ecc.cpp
@@ -297,7 +297,12 @@ static void update_warping_matrix_ECC (Mat& map_matrix, const Mat& update, const
         mapPtr[5] += updatePtr[7];
     }
     if (motionType == MOTION_EUCLIDEAN) {
-        double new_theta = acos(mapPtr[0]) + updatePtr[0];
+        double new_theta = updatePtr[0];
+        if (mapPtr[3]>0)
+            new_theta += acos(mapPtr[0]);
+
+        if (mapPtr[3]<0)
+            new_theta -= acos(mapPtr[0]);
 
         mapPtr[2] += updatePtr[1];
         mapPtr[5] += updatePtr[2];
diff --git a/modules/video/src/optflowgf.cpp b/modules/video/src/optflowgf.cpp
index 4225e3d7fc..27abf739fb 100644
--- a/modules/video/src/optflowgf.cpp
+++ b/modules/video/src/optflowgf.cpp
@@ -43,6 +43,10 @@
 #include "precomp.hpp"
 #include "opencl_kernels_video.hpp"
 
+#if defined __APPLE__ || defined ANDROID
+#define SMALL_LOCALSIZE
+#endif
+
 //
 // 2D dense optical flow algorithm from the following paper:
 // Gunnar Farneback. "Two-Frame Motion Estimation Based on Polynomial Expansion".
@@ -836,7 +840,7 @@ private:
 
     bool gaussianBlurOcl(const UMat &src, int ksizeHalf, UMat &dst)
     {
-#ifdef ANDROID
+#ifdef SMALL_LOCALSIZE
         size_t localsize[2] = { 128, 1};
 #else
         size_t localsize[2] = { 256, 1};
@@ -863,7 +867,7 @@ private:
     bool gaussianBlur5Ocl(const UMat &src, int ksizeHalf, UMat &dst)
     {
         int height = src.rows / 5;
-#ifdef ANDROID
+#ifdef SMALL_LOCALSIZE
         size_t localsize[2] = { 128, 1};
 #else
         size_t localsize[2] = { 256, 1};
@@ -888,7 +892,7 @@ private:
     }
     bool polynomialExpansionOcl(const UMat &src, UMat &dst)
     {
-#ifdef ANDROID
+#ifdef SMALL_LOCALSIZE
         size_t localsize[2] = { 128, 1};
 #else
         size_t localsize[2] = { 256, 1};
@@ -925,7 +929,7 @@ private:
     bool boxFilter5Ocl(const UMat &src, int ksizeHalf, UMat &dst)
     {
         int height = src.rows / 5;
-#ifdef ANDROID
+#ifdef SMALL_LOCALSIZE
         size_t localsize[2] = { 128, 1};
 #else
         size_t localsize[2] = { 256, 1};
@@ -952,7 +956,7 @@ private:
 
     bool updateFlowOcl(const UMat &M, UMat &flowx, UMat &flowy)
     {
-#ifdef ANDROID
+#ifdef SMALL_LOCALSIZE
         size_t localsize[2] = { 32, 4};
 #else
         size_t localsize[2] = { 32, 8};
@@ -976,7 +980,7 @@ private:
     }
     bool updateMatricesOcl(const UMat &flowx, const UMat &flowy, const UMat &R0, const UMat &R1, UMat &M)
     {
-#ifdef ANDROID
+#ifdef SMALL_LOCALSIZE
         size_t localsize[2] = { 32, 4};
 #else
         size_t localsize[2] = { 32, 8};

From 68305703bd53c612e69463ddaa330bc0c53d79a8 Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Fri, 8 Aug 2014 22:45:07 +0400
Subject: [PATCH 71/92] modified farneback sample to use T-API

---
 samples/cpp/fback.cpp | 8 +++++---
 1 file changed, 5 insertions(+), 3 deletions(-)

diff --git a/samples/cpp/fback.cpp b/samples/cpp/fback.cpp
index 476cfe6548..af0f2ca09b 100644
--- a/samples/cpp/fback.cpp
+++ b/samples/cpp/fback.cpp
@@ -37,7 +37,8 @@ int main(int, char**)
     if( !cap.isOpened() )
         return -1;
 
-    Mat prevgray, gray, flow, cflow, frame;
+    Mat flow, cflow, frame;
+    UMat gray, prevgray, uflow;
     namedWindow("flow", 1);
 
     for(;;)
@@ -45,10 +46,11 @@ int main(int, char**)
         cap >> frame;
         cvtColor(frame, gray, COLOR_BGR2GRAY);
 
-        if( prevgray.data )
+        if( !prevgray.empty() )
         {
-            calcOpticalFlowFarneback(prevgray, gray, flow, 0.5, 3, 15, 3, 5, 1.2, 0);
+            calcOpticalFlowFarneback(prevgray, gray, uflow, 0.5, 3, 15, 3, 5, 1.2, 0);
             cvtColor(prevgray, cflow, COLOR_GRAY2BGR);
+            uflow.copyTo(flow);
             drawOptFlowMap(flow, cflow, 16, 1.5, Scalar(0, 255, 0));
             imshow("flow", cflow);
         }

From 9a233999a9db7bc3a368e05da274d6fce9e0bcd6 Mon Sep 17 00:00:00 2001
From: Yury Gorbachev <yury.gorbachev@itseez.com>
Date: Sat, 9 Aug 2014 13:37:53 +0400
Subject: [PATCH 72/92] Fixed review comment from Vadim Pisarevsky

---
 modules/core/src/arithm.cpp | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/modules/core/src/arithm.cpp b/modules/core/src/arithm.cpp
index 4c6ba1c7b0..91c338b21e 100644
--- a/modules/core/src/arithm.cpp
+++ b/modules/core/src/arithm.cpp
@@ -2460,8 +2460,8 @@ addWeighted8u( const uchar* src1, size_t step1,
             out_f_l = vaddq_f32(out_f_l, g);
             out_f_h = vaddq_f32(out_f_h, g);
 
-            uint16x4_t out_16_l = vqmovn_u32(vcvtq_u32_f32(out_f_l));
-            uint16x4_t out_16_h = vqmovn_u32(vcvtq_u32_f32(out_f_h));
+            uint16x4_t out_16_l = vqmovun_s32(vcvtq_s32_f32(out_f_l));
+            uint16x4_t out_16_h = vqmovun_s32(vcvtq_s32_f32(out_f_h));
 
             uint16x8_t out_16 = vcombine_u16(out_16_l, out_16_h);
             uint8x8_t out = vqmovn_u16(out_16);

From 05e7c29de5fc4864a8812d8f8ab92e89ae6343dc Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Sun, 10 Aug 2014 00:10:05 +0400
Subject: [PATCH 73/92] fixed various warnings and obvious errors reported by
 clang compiler and the coverity tool.

---
 modules/core/src/dxt.cpp                | 4 ++--
 modules/core/src/ocl.cpp                | 7 +++----
 modules/features2d/src/freak.cpp        | 1 -
 modules/imgproc/src/templmatch.cpp      | 1 -
 modules/ml/src/ann_mlp.cpp              | 2 +-
 modules/ml/src/data.cpp                 | 8 ++++----
 modules/ml/src/svm.cpp                  | 4 ++--
 modules/shape/test/test_emdl1.cpp       | 2 --
 modules/shape/test/test_shape.cpp       | 2 --
 modules/video/test/test_tvl1optflow.cpp | 4 +++-
 modules/videoio/src/cap_qtkit.mm        | 1 -
 11 files changed, 15 insertions(+), 21 deletions(-)

diff --git a/modules/core/src/dxt.cpp b/modules/core/src/dxt.cpp
index c74d87dcba..ed96a0b80c 100644
--- a/modules/core/src/dxt.cpp
+++ b/modules/core/src/dxt.cpp
@@ -1801,11 +1801,11 @@ private:
     UMat twiddles;
     String buildOptions;
     int thread_count;
-    bool status;
     int dft_size;
+    bool status;
 
 public:
-    OCL_FftPlan(int _size): dft_size(_size), status(true)
+    OCL_FftPlan(int _size) : dft_size(_size), status(true)
     {
         int min_radix;
         std::vector<int> radixes, blocks;
diff --git a/modules/core/src/ocl.cpp b/modules/core/src/ocl.cpp
index 433249a2ea..837d16ee83 100644
--- a/modules/core/src/ocl.cpp
+++ b/modules/core/src/ocl.cpp
@@ -1324,6 +1324,9 @@ OCL_FUNC(cl_int, clReleaseEvent, (cl_event event), (event))
 
 #endif
 
+#ifdef _DEBUG
+#define CV_OclDbgAssert CV_DbgAssert
+#else
 static bool isRaiseError()
 {
     static bool initialized = false;
@@ -1335,10 +1338,6 @@ static bool isRaiseError()
     }
     return value;
 }
-
-#ifdef _DEBUG
-#define CV_OclDbgAssert CV_DbgAssert
-#else
 #define CV_OclDbgAssert(expr) do { if (isRaiseError()) { CV_Assert(expr); } else { (void)(expr); } } while ((void)0, 0)
 #endif
 
diff --git a/modules/features2d/src/freak.cpp b/modules/features2d/src/freak.cpp
index 00c0e35ae8..58c1fe11e2 100644
--- a/modules/features2d/src/freak.cpp
+++ b/modules/features2d/src/freak.cpp
@@ -45,7 +45,6 @@ namespace cv
 {
 
 static const double FREAK_SQRT2 = 1.4142135623731;
-static const double FREAK_INV_SQRT2 = 1.0 / FREAK_SQRT2;
 static const double FREAK_LOG2 = 0.693147180559945;
 static const int FREAK_NB_ORIENTATION = 256;
 static const int FREAK_NB_POINTS = 43;
diff --git a/modules/imgproc/src/templmatch.cpp b/modules/imgproc/src/templmatch.cpp
index 33c1e15bd6..6919d7a3d0 100644
--- a/modules/imgproc/src/templmatch.cpp
+++ b/modules/imgproc/src/templmatch.cpp
@@ -450,7 +450,6 @@ static bool matchTemplate_CCOEFF(InputArray _image, InputArray _templ, OutputArr
 
     UMat templ  = _templ.getUMat();
     UMat result = _result.getUMat();
-    Size tsize = templ.size();
 
     if (cn==1)
     {
diff --git a/modules/ml/src/ann_mlp.cpp b/modules/ml/src/ann_mlp.cpp
index 73af1ae94d..b0e1447dcc 100644
--- a/modules/ml/src/ann_mlp.cpp
+++ b/modules/ml/src/ann_mlp.cpp
@@ -431,7 +431,7 @@ public:
                 break;
 
             case GAUSSIAN:
-                for( i = 0; i < n; j++ )
+                for( i = 0; i < n; i++ )
                 {
                     double* data = sums.ptr<double>(i);
                     for( j = 0; j < cols; j++ )
diff --git a/modules/ml/src/data.cpp b/modules/ml/src/data.cpp
index b5d0527985..c9a323a43a 100644
--- a/modules/ml/src/data.cpp
+++ b/modules/ml/src/data.cpp
@@ -861,9 +861,9 @@ public:
     void getValues( int vi, InputArray _sidx, float* values ) const
     {
         Mat sidx = _sidx.getMat();
-        int i, n, nsamples = getNSamples();
+        int i, n = sidx.checkVector(1, CV_32S), nsamples = getNSamples();
         CV_Assert( 0 <= vi && vi < getNAllVars() );
-        CV_Assert( (n = sidx.checkVector(1, CV_32S)) >= 0 );
+        CV_Assert( n >= 0 );
         const int* s = n > 0 ? sidx.ptr<int>() : 0;
         if( n == 0 )
             n = nsamples;
@@ -938,8 +938,8 @@ public:
     {
         CV_Assert(buf != 0 && 0 <= sidx && sidx < getNSamples());
         Mat vidx = _vidx.getMat();
-        int i, n, nvars = getNAllVars();
-        CV_Assert( (n = vidx.checkVector(1, CV_32S)) >= 0 );
+        int i, n = vidx.checkVector(1, CV_32S), nvars = getNAllVars();
+        CV_Assert( n >= 0 );
         const int* vptr = n > 0 ? vidx.ptr<int>() : 0;
         if( n == 0 )
             n = nvars;
diff --git a/modules/ml/src/svm.cpp b/modules/ml/src/svm.cpp
index 985cc62520..49e5c0200a 100644
--- a/modules/ml/src/svm.cpp
+++ b/modules/ml/src/svm.cpp
@@ -1335,9 +1335,9 @@ public:
                 _responses.convertTo(_yf, CV_32F);
 
             bool ok =
-            (svmType == ONE_CLASS ? Solver::solve_one_class( _samples, params.nu, kernel, _alpha, sinfo, termCrit ) :
+            svmType == ONE_CLASS ? Solver::solve_one_class( _samples, params.nu, kernel, _alpha, sinfo, termCrit ) :
             svmType == EPS_SVR ? Solver::solve_eps_svr( _samples, _yf, params.p, params.C, kernel, _alpha, sinfo, termCrit ) :
-            svmType == NU_SVR ? Solver::solve_nu_svr( _samples, _yf, params.nu, params.C, kernel, _alpha, sinfo, termCrit ) : false);
+            svmType == NU_SVR ? Solver::solve_nu_svr( _samples, _yf, params.nu, params.C, kernel, _alpha, sinfo, termCrit ) : false;
 
             if( !ok )
                 return false;
diff --git a/modules/shape/test/test_emdl1.cpp b/modules/shape/test/test_emdl1.cpp
index fc677fc5b0..e52351bcf6 100644
--- a/modules/shape/test/test_emdl1.cpp
+++ b/modules/shape/test/test_emdl1.cpp
@@ -50,8 +50,6 @@ const float minRad=0.2f;
 const float maxRad=2;
 const int NSN=5;//10;//20; //number of shapes per class
 const int NP=100; //number of points sympliying the contour
-const float outlierWeight=0.1f;
-const int numOutliers=20;
 const float CURRENT_MAX_ACCUR=95; //98% and 99% reached in several tests, 95 is fixed as minimum boundary
 
 class CV_ShapeEMDTest : public cvtest::BaseTest
diff --git a/modules/shape/test/test_shape.cpp b/modules/shape/test/test_shape.cpp
index 737e0473ae..04e89fe6b9 100644
--- a/modules/shape/test/test_shape.cpp
+++ b/modules/shape/test/test_shape.cpp
@@ -50,8 +50,6 @@ const float minRad=0.2f;
 const float maxRad=2;
 const int NSN=5;//10;//20; //number of shapes per class
 const int NP=120; //number of points sympliying the contour
-const float outlierWeight=0.1f;
-const int numOutliers=20;
 const float CURRENT_MAX_ACCUR=95; //99% and 100% reached in several tests, 95 is fixed as minimum boundary
 
 class CV_ShapeTest : public cvtest::BaseTest
diff --git a/modules/video/test/test_tvl1optflow.cpp b/modules/video/test/test_tvl1optflow.cpp
index 274c13e65d..4772f0fb6e 100644
--- a/modules/video/test/test_tvl1optflow.cpp
+++ b/modules/video/test/test_tvl1optflow.cpp
@@ -52,12 +52,13 @@ namespace
 {
     // first four bytes, should be the same in little endian
     const float FLO_TAG_FLOAT = 202021.25f;  // check for this when READING the file
-    const char FLO_TAG_STRING[] = "PIEH";    // use this when WRITING the file
 
+#ifdef DUMP
     // binary file format for flow data specified here:
     // http://vision.middlebury.edu/flow/data/
     void writeOpticalFlowToFile(const Mat_<Point2f>& flow, const string& fileName)
     {
+        const char FLO_TAG_STRING[] = "PIEH";    // use this when WRITING the file
         ofstream file(fileName.c_str(), ios_base::binary);
 
         file << FLO_TAG_STRING;
@@ -76,6 +77,7 @@ namespace
             }
         }
     }
+#endif
 
     // binary file format for flow data specified here:
     // http://vision.middlebury.edu/flow/data/
diff --git a/modules/videoio/src/cap_qtkit.mm b/modules/videoio/src/cap_qtkit.mm
index 461bc1f33c..a0b10cd090 100644
--- a/modules/videoio/src/cap_qtkit.mm
+++ b/modules/videoio/src/cap_qtkit.mm
@@ -199,7 +199,6 @@ public:
 private:
     IplImage* argbimage;
     QTMovie* mMovie;
-    unsigned char* imagedata;
 
     NSString* path;
     NSString* codec;

From e49536e88b1057184aeee6bd8511ba948a6f1265 Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Sun, 10 Aug 2014 01:52:54 +0400
Subject: [PATCH 74/92] moved to the new opencv_contrib/face module

---
 .../haarcascade_mcs_eyepair_big.xml           |  8827 ----
 .../haarcascade_mcs_eyepair_small.xml         | 10091 ----
 data/haarcascades/haarcascade_mcs_leftear.xml |  7633 ---
 data/haarcascades/haarcascade_mcs_lefteye.xml | 19209 --------
 .../haarcascade_mcs_lefteye_alt.xml           | 24071 ----------
 data/haarcascades/haarcascade_mcs_mouth.xml   | 17680 -------
 data/haarcascades/haarcascade_mcs_nose.xml    | 39332 ----------------
 .../haarcascades/haarcascade_mcs_rightear.xml |  7931 ----
 .../haarcascades/haarcascade_mcs_righteye.xml | 34105 --------------
 .../haarcascade_mcs_righteye_alt.xml          | 22351 ---------
 .../haarcascade_mcs_upperbody.xml             | 37318 ---------------
 11 files changed, 228548 deletions(-)
 delete mode 100644 data/haarcascades/haarcascade_mcs_eyepair_big.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_eyepair_small.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_leftear.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_lefteye.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_lefteye_alt.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_mouth.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_nose.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_rightear.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_righteye.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_righteye_alt.xml
 delete mode 100644 data/haarcascades/haarcascade_mcs_upperbody.xml

diff --git a/data/haarcascades/haarcascade_mcs_eyepair_big.xml b/data/haarcascades/haarcascade_mcs_eyepair_big.xml
deleted file mode 100644
index c3ac7a1bac..0000000000
--- a/data/haarcascades/haarcascade_mcs_eyepair_big.xml
+++ /dev/null
@@ -1,8827 +0,0 @@
-<?xml version="1.0"?>
-<!--
-45x11 Eye pair detector computed with 7000 positive samples
-2006-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 – Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 – Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@ARTICLE{Castrillon11-mva,
-					  author = {Modesto Castrill\'on and Oscar D\'eniz and Daniel Hern\'andez and Javier Lorenzo},
-					  title = {A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework},
-					  journal = {Machine Vision and Applications},
-					  year = {2011},
-					  volume = {22},
-					  pages = {481-494},
-					  number = {3},
-					}
-		indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-		indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-	You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-	If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-	If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-	for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-	if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-	You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
-  <featureType>HAAR</featureType>
-  <height>45</height>
-  <width>11</width>
-  <stageParams>
-    <maxWeakCount>85</maxWeakCount></stageParams>
-  <featureParams>
-    <maxCatCount>0</maxCatCount></featureParams>
-  <stageNum>19</stageNum>
-  <stages>
-    <_>
-      <maxWeakCount>4</maxWeakCount>
-      <stageThreshold>-1.4563479423522949e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 0 1.0129979997873306e-01</internalNodes>
-          <leafValues>
-            -7.9546368122100830e-01 7.8110837936401367e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1 3.1212110072374344e-02</internalNodes>
-          <leafValues>
-            -7.2823482751846313e-01 6.2244427204132080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2 -5.4906789213418961e-02</internalNodes>
-          <leafValues>
-            6.6794431209564209e-01 -6.0760712623596191e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3 1.3104109466075897e-01</internalNodes>
-          <leafValues>
-            -4.8816078901290894e-01 6.7495757341384888e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>6</maxWeakCount>
-      <stageThreshold>-1.4917520284652710e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 4 1.5072830021381378e-01</internalNodes>
-          <leafValues>
-            -6.3909012079238892e-01 8.0536258220672607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 5 2.2887440398335457e-02</internalNodes>
-          <leafValues>
-            -7.2313660383224487e-01 3.9929839968681335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 6 2.7674660086631775e-02</internalNodes>
-          <leafValues>
-            -7.0643997192382812e-01 4.8853880167007446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 7 3.1899858266115189e-02</internalNodes>
-          <leafValues>
-            -4.2184171080589294e-01 5.3921532630920410e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 8 3.6972828209400177e-02</internalNodes>
-          <leafValues>
-            -4.2400631308555603e-01 5.6811082363128662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 9 -1.6711089760065079e-02</internalNodes>
-          <leafValues>
-            4.6170559525489807e-01 -4.2389839887619019e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>11</maxWeakCount>
-      <stageThreshold>-1.6821570396423340e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 10 2.1208600699901581e-01</internalNodes>
-          <leafValues>
-            -6.5022879838943481e-01 5.9933120012283325e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 11 -2.2745320573449135e-02</internalNodes>
-          <leafValues>
-            5.1935321092605591e-01 -4.4163998961448669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 12 2.1561959758400917e-02</internalNodes>
-          <leafValues>
-            -6.4395201206207275e-01 5.1543998718261719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 13 8.7526358664035797e-02</internalNodes>
-          <leafValues>
-            -3.7235569953918457e-01 4.8228278756141663e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 14 1.7132370267063379e-03</internalNodes>
-          <leafValues>
-            -6.2590628862380981e-01 3.1931561231613159e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 15 -1.2182939797639847e-01</internalNodes>
-          <leafValues>
-            4.4271498918533325e-01 -2.8492081165313721e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 16 -1.6568049788475037e-02</internalNodes>
-          <leafValues>
-            4.3862259387969971e-01 -3.0607050657272339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 17 -8.0553777515888214e-02</internalNodes>
-          <leafValues>
-            6.0115402936935425e-01 -1.9848510622978210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 18 9.4548419117927551e-02</internalNodes>
-          <leafValues>
-            -2.5033459067344666e-01 4.8005449771881104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 19 -9.6633229404687881e-03</internalNodes>
-          <leafValues>
-            2.1125659346580505e-01 -2.5508201122283936e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 20 -1.7194730462506413e-03</internalNodes>
-          <leafValues>
-            -7.4376249313354492e-01 1.3561910390853882e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>19</maxWeakCount>
-      <stageThreshold>-2.4261860847473145e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 21 -2.9845130443572998e-01</internalNodes>
-          <leafValues>
-            5.7684171199798584e-01 -5.6365752220153809e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 22 8.4831789135932922e-02</internalNodes>
-          <leafValues>
-            -4.8785820603370667e-01 3.0233600735664368e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 23 4.8235268332064152e-03</internalNodes>
-          <leafValues>
-            -4.1680189967155457e-01 5.4730242490768433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 24 2.4796100333333015e-02</internalNodes>
-          <leafValues>
-            -4.0749680995941162e-01 2.9871928691864014e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 25 7.8466311097145081e-03</internalNodes>
-          <leafValues>
-            -6.6262972354888916e-01 3.0879470705986023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 26 8.8172443211078644e-02</internalNodes>
-          <leafValues>
-            -1.9640329480171204e-01 1.7876540124416351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 27 6.7136192228645086e-04</internalNodes>
-          <leafValues>
-            -4.5652940869331360e-01 4.7216510772705078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 28 -5.8130059187533334e-05</internalNodes>
-          <leafValues>
-            1.8948759883642197e-02 -2.7900961041450500e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 29 -7.0680370554327965e-03</internalNodes>
-          <leafValues>
-            4.3155920505523682e-01 -5.2287191152572632e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 30 1.0486739687621593e-02</internalNodes>
-          <leafValues>
-            -6.2000381946563721e-01 4.0068510174751282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 31 3.0196599662303925e-02</internalNodes>
-          <leafValues>
-            -7.2579962015151978e-01 1.9102710485458374e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 32 2.2740899585187435e-03</internalNodes>
-          <leafValues>
-            -7.4379247426986694e-01 1.4359140396118164e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 33 2.8281889390200377e-03</internalNodes>
-          <leafValues>
-            -7.0359271764755249e-01 2.0774589478969574e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 34 9.4722010544501245e-05</internalNodes>
-          <leafValues>
-            -6.8661361932754517e-01 2.3000240325927734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 35 5.8486708439886570e-05</internalNodes>
-          <leafValues>
-            -7.4927699565887451e-01 1.7420600354671478e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 36 -5.3329051297623664e-05</internalNodes>
-          <leafValues>
-            1.9545179605484009e-01 -6.4602172374725342e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 37 -1.9914070435333997e-05</internalNodes>
-          <leafValues>
-            3.1910550594329834e-01 -5.0005888938903809e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 38 -2.8483340516686440e-02</internalNodes>
-          <leafValues>
-            2.7206888794898987e-01 -1.7283840477466583e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 39 -7.0301168598234653e-03</internalNodes>
-          <leafValues>
-            4.9069970846176147e-01 -2.5846821069717407e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>16</maxWeakCount>
-      <stageThreshold>-1.6515820026397705e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 40 1.7105689644813538e-01</internalNodes>
-          <leafValues>
-            -5.6416177749633789e-01 5.4754227399826050e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 41 -1.0497429966926575e-01</internalNodes>
-          <leafValues>
-            4.7274130582809448e-01 -4.5322591066360474e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 42 -3.1381469219923019e-02</internalNodes>
-          <leafValues>
-            4.9009248614311218e-01 -3.5930469632148743e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 43 6.2426690012216568e-02</internalNodes>
-          <leafValues>
-            -3.1271660327911377e-01 3.7389820814132690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 44 5.4725550115108490e-02</internalNodes>
-          <leafValues>
-            -4.3851169943809509e-01 3.3310478925704956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 45 4.7346241772174835e-03</internalNodes>
-          <leafValues>
-            -6.4141207933425903e-01 2.5311610102653503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 46 7.9919751733541489e-03</internalNodes>
-          <leafValues>
-            -4.6805310249328613e-01 2.4310259521007538e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 47 1.6218619421124458e-02</internalNodes>
-          <leafValues>
-            -3.6558291316032410e-01 1.9355100393295288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 48 -2.7070839423686266e-03</internalNodes>
-          <leafValues>
-            -6.2368887662887573e-01 1.5246219933032990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 49 -1.4570339582860470e-02</internalNodes>
-          <leafValues>
-            2.5488319993019104e-01 -1.0177270323038101e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 50 -7.4289329349994659e-02</internalNodes>
-          <leafValues>
-            -5.9631901979446411e-01 1.4141720533370972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 51 1.7482470721006393e-02</internalNodes>
-          <leafValues>
-            6.8981222808361053e-02 -8.0752617120742798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 52 7.4595998739823699e-04</internalNodes>
-          <leafValues>
-            8.9970856904983521e-02 -7.5478130578994751e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 53 6.8119657039642334e-01</internalNodes>
-          <leafValues>
-            1.2513290345668793e-01 -5.9507852792739868e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 54 -3.2223601010628045e-04</internalNodes>
-          <leafValues>
-            -5.4766350984573364e-01 1.4170460402965546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 55 -1.3318139826878905e-03</internalNodes>
-          <leafValues>
-            -4.6108511090278625e-01 8.7741702795028687e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>21</maxWeakCount>
-      <stageThreshold>-1.8342440128326416e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 56 7.9966977238655090e-02</internalNodes>
-          <leafValues>
-            -6.6598808765411377e-01 4.2352628707885742e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 57 -2.7264660224318504e-02</internalNodes>
-          <leafValues>
-            3.3973929286003113e-01 -5.0634992122650146e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 58 2.8883190825581551e-02</internalNodes>
-          <leafValues>
-            -4.9011540412902832e-01 4.0123671293258667e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 59 3.9732199162244797e-02</internalNodes>
-          <leafValues>
-            -4.7746640443801880e-01 2.0590600371360779e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 60 -9.7214527428150177e-02</internalNodes>
-          <leafValues>
-            4.5142328739166260e-01 -4.6996578574180603e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 61 7.0403199642896652e-03</internalNodes>
-          <leafValues>
-            -5.0513231754302979e-01 1.8722230195999146e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 62 1.0033249855041504e-02</internalNodes>
-          <leafValues>
-            -6.0716050863265991e-01 2.0498579740524292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 63 -2.2186320275068283e-03</internalNodes>
-          <leafValues>
-            2.7919989824295044e-01 -3.9091849327087402e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 64 7.2839930653572083e-02</internalNodes>
-          <leafValues>
-            -8.7004872038960457e-03 -4.3667841796875000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 65 -6.8644046783447266e-02</internalNodes>
-          <leafValues>
-            5.4671740531921387e-01 -9.7120396792888641e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 66 8.3757557149510831e-05</internalNodes>
-          <leafValues>
-            -4.3773889541625977e-01 2.0737740397453308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 67 -1.8882959848269820e-03</internalNodes>
-          <leafValues>
-            2.8053081035614014e-01 -1.1238359659910202e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 68 -3.6242630332708359e-02</internalNodes>
-          <leafValues>
-            -6.3709640502929688e-01 1.4787060022354126e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 69 -3.3338118344545364e-02</internalNodes>
-          <leafValues>
-            4.7268480062484741e-01 -2.1240149438381195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 70 2.5847079232335091e-03</internalNodes>
-          <leafValues>
-            1.2344239652156830e-01 -7.4099230766296387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 71 -2.0372489467263222e-02</internalNodes>
-          <leafValues>
-            1.3778980076313019e-01 -1.9940899312496185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 72 3.6333200987428427e-03</internalNodes>
-          <leafValues>
-            7.9361379146575928e-02 -7.6000207662582397e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 73 4.6827611513435841e-03</internalNodes>
-          <leafValues>
-            -6.6145867109298706e-02 1.7332559823989868e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 74 -4.8445351421833038e-03</internalNodes>
-          <leafValues>
-            4.4801148772239685e-01 -1.5643960237503052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 75 2.4819609522819519e-01</internalNodes>
-          <leafValues>
-            -8.6152970790863037e-02 3.3757150173187256e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 76 1.9421289861202240e-01</internalNodes>
-          <leafValues>
-            -1.4059330523014069e-01 5.1121640205383301e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>26</maxWeakCount>
-      <stageThreshold>-1.6580430269241333e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 77 -9.6888672560453415e-03</internalNodes>
-          <leafValues>
-            3.8957211375236511e-01 -4.8118248581886292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 78 2.9810279607772827e-01</internalNodes>
-          <leafValues>
-            -4.8006340861320496e-01 3.9554169774055481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 79 -9.8945433273911476e-03</internalNodes>
-          <leafValues>
-            4.2066010832786560e-01 -3.4448111057281494e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 80 5.6289549916982651e-02</internalNodes>
-          <leafValues>
-            -2.3237819969654083e-01 4.2001250386238098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 81 2.8186529874801636e-02</internalNodes>
-          <leafValues>
-            -5.4988211393356323e-01 1.9484530389308929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 82 4.7115761786699295e-02</internalNodes>
-          <leafValues>
-            1.6842770576477051e-01 -5.3077638149261475e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 83 -3.1187951099127531e-03</internalNodes>
-          <leafValues>
-            1.9679939746856689e-01 -3.7416198849678040e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 84 1.9423909485340118e-02</internalNodes>
-          <leafValues>
-            -4.4669228792190552e-01 1.6852539777755737e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 85 -2.6180699467658997e-01</internalNodes>
-          <leafValues>
-            -8.3780890703201294e-01 6.1774950474500656e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 86 -4.8632198013365269e-03</internalNodes>
-          <leafValues>
-            -4.8009449243545532e-01 6.6771760582923889e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 87 3.8411598652601242e-02</internalNodes>
-          <leafValues>
-            1.3380399346351624e-01 -5.8349931240081787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 88 5.7644587941467762e-03</internalNodes>
-          <leafValues>
-            8.2218721508979797e-02 -8.1420588493347168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 89 -2.7703220024704933e-02</internalNodes>
-          <leafValues>
-            4.7253361344337463e-01 -1.4942400157451630e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 90 2.9970629839226604e-04</internalNodes>
-          <leafValues>
-            -3.5082170367240906e-01 1.1788990348577499e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 91 6.6997818648815155e-03</internalNodes>
-          <leafValues>
-            -1.5635940432548523e-01 3.6560869216918945e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 92 1.8159940736950375e-05</internalNodes>
-          <leafValues>
-            -3.1400790810585022e-01 1.2775659561157227e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 93 -2.3775480221956968e-03</internalNodes>
-          <leafValues>
-            -7.1568191051483154e-01 7.5858749449253082e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 94 -4.4308858923614025e-03</internalNodes>
-          <leafValues>
-            -5.7954931259155273e-01 6.5880201756954193e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 95 8.2603342831134796e-02</internalNodes>
-          <leafValues>
-            7.0020496845245361e-02 -6.6175222396850586e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 96 -8.3666313439607620e-03</internalNodes>
-          <leafValues>
-            -4.9013429880142212e-01 9.3764282763004303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 97 -4.2126090265810490e-03</internalNodes>
-          <leafValues>
-            -5.8547890186309814e-01 7.7719986438751221e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 98 1.4681339962407947e-03</internalNodes>
-          <leafValues>
-            -2.4955469369888306e-01 1.1525829881429672e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 99 5.7278228923678398e-03</internalNodes>
-          <leafValues>
-            -1.1968609690666199e-01 4.2483189702033997e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 100 6.5779332071542740e-03</internalNodes>
-          <leafValues>
-            2.8237590566277504e-02 -4.0717759728431702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 101 1.2635639905056451e-05</internalNodes>
-          <leafValues>
-            -3.2787650823593140e-01 1.4637599885463715e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 102 -4.6048699878156185e-03</internalNodes>
-          <leafValues>
-            1.8424710631370544e-01 -2.3546899855136871e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>31</maxWeakCount>
-      <stageThreshold>-1.7386059761047363e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 103 6.1627078801393509e-02</internalNodes>
-          <leafValues>
-            -6.3852781057357788e-01 3.3314740657806396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 104 4.2768982239067554e-03</internalNodes>
-          <leafValues>
-            -4.2443430423736572e-01 4.3040299415588379e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 105 4.6536661684513092e-03</internalNodes>
-          <leafValues>
-            -3.5712578892707825e-01 3.4206199645996094e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 106 8.9929848909378052e-02</internalNodes>
-          <leafValues>
-            -3.0818319320678711e-01 3.1036278605461121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 107 7.4353553354740143e-02</internalNodes>
-          <leafValues>
-            -4.1107970476150513e-01 2.7357169985771179e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 108 1.8687270348891616e-03</internalNodes>
-          <leafValues>
-            -3.2678169012069702e-01 1.8466979265213013e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 109 -6.2053278088569641e-03</internalNodes>
-          <leafValues>
-            3.1079730391502380e-01 -2.4444060027599335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 110 -1.6329739242792130e-02</internalNodes>
-          <leafValues>
-            2.4938680231571198e-01 -3.8487339019775391e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 111 1.1337800323963165e-01</internalNodes>
-          <leafValues>
-            -4.3810528516769409e-01 1.5818390250205994e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 112 7.4822813272476196e-02</internalNodes>
-          <leafValues>
-            7.7593952417373657e-02 -6.1711072921752930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 113 -4.5132860541343689e-02</internalNodes>
-          <leafValues>
-            5.9627789258956909e-01 -1.0650890320539474e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 114 -1.0261160321533680e-02</internalNodes>
-          <leafValues>
-            3.4028670191764832e-01 -7.6013132929801941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 115 1.9562950183171779e-04</internalNodes>
-          <leafValues>
-            -3.2240030169487000e-01 1.5930220484733582e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 116 1.2749910354614258e-02</internalNodes>
-          <leafValues>
-            3.4237869083881378e-02 -8.2333010435104370e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 117 1.0267910547554493e-03</internalNodes>
-          <leafValues>
-            -3.3482649922370911e-01 1.4868380129337311e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 118 1.1899939738214016e-02</internalNodes>
-          <leafValues>
-            -1.1105280369520187e-01 2.9978659749031067e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 119 9.4404807314276695e-03</internalNodes>
-          <leafValues>
-            6.3143752515316010e-02 -7.4914127588272095e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 120 -4.4033881276845932e-03</internalNodes>
-          <leafValues>
-            1.5069060027599335e-01 -1.2134409695863724e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 121 8.2504339516162872e-03</internalNodes>
-          <leafValues>
-            6.5444067120552063e-02 -7.5574231147766113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 122 -1.1925470083951950e-02</internalNodes>
-          <leafValues>
-            1.1579179763793945e-01 -1.8231560289859772e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 123 2.3744169156998396e-03</internalNodes>
-          <leafValues>
-            -2.3897719383239746e-01 1.9362419843673706e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 124 1.8954979255795479e-02</internalNodes>
-          <leafValues>
-            -7.3902383446693420e-02 9.5206938683986664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 125 -6.4718048088252544e-03</internalNodes>
-          <leafValues>
-            1.8825650215148926e-01 -2.7421408891677856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 126 1.1885800398886204e-02</internalNodes>
-          <leafValues>
-            -7.9389132559299469e-02 3.9397639036178589e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 127 3.9641708135604858e-03</internalNodes>
-          <leafValues>
-            -3.1416910886764526e-01 1.5722210705280304e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 128 -1.5312650240957737e-02</internalNodes>
-          <leafValues>
-            4.3467319011688232e-01 -8.0059163272380829e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 129 -4.4087409041821957e-03</internalNodes>
-          <leafValues>
-            -6.9355368614196777e-01 7.2660736739635468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 130 2.6811350136995316e-02</internalNodes>
-          <leafValues>
-            -2.8735099360346794e-02 4.3056601285934448e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 131 1.2916729785501957e-02</internalNodes>
-          <leafValues>
-            -7.9113177955150604e-02 5.6161957979202271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 132 -2.8802119195461273e-03</internalNodes>
-          <leafValues>
-            -6.6846042871475220e-01 7.7757932245731354e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 133 -7.7549487352371216e-02</internalNodes>
-          <leafValues>
-            6.9363379478454590e-01 -7.2858713567256927e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>33</maxWeakCount>
-      <stageThreshold>-1.6643459796905518e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 134 1.1415310204029083e-01</internalNodes>
-          <leafValues>
-            -4.6382120251655579e-01 3.8176709413528442e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 135 4.8969490453600883e-03</internalNodes>
-          <leafValues>
-            -1.8987430632114410e-01 3.6797779798507690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 136 2.1013330668210983e-02</internalNodes>
-          <leafValues>
-            -3.9102751016616821e-01 3.0523461103439331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 137 -8.5326731204986572e-03</internalNodes>
-          <leafValues>
-            4.0289008617401123e-01 -3.7945809960365295e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 138 2.2233189083635807e-03</internalNodes>
-          <leafValues>
-            -5.8341151475906372e-01 2.0504960417747498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 139 -8.9455489069223404e-03</internalNodes>
-          <leafValues>
-            1.0734400153160095e-01 -1.4078269898891449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 140 -4.4652701035374776e-05</internalNodes>
-          <leafValues>
-            3.1881740689277649e-01 -2.4204300343990326e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 141 -2.7766218781471252e-01</internalNodes>
-          <leafValues>
-            3.1993478536605835e-01 -2.3212060332298279e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 142 2.9992889612913132e-02</internalNodes>
-          <leafValues>
-            -4.8636630177497864e-01 1.5733970701694489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 143 1.0384639725089073e-02</internalNodes>
-          <leafValues>
-            -3.5761609673500061e-01 1.0168769955635071e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 144 -9.9069289863109589e-03</internalNodes>
-          <leafValues>
-            3.4743508696556091e-01 -2.0619870722293854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 145 -9.3680381774902344e-02</internalNodes>
-          <leafValues>
-            5.4358488321304321e-01 -7.3790967464447021e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 146 4.6968900278443471e-05</internalNodes>
-          <leafValues>
-            -3.6511829495429993e-01 2.0056860148906708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 147 -8.3182547241449356e-03</internalNodes>
-          <leafValues>
-            -5.2089792490005493e-01 5.1686830818653107e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 148 -1.1552570015192032e-01</internalNodes>
-          <leafValues>
-            -6.0911101102828979e-01 9.2298023402690887e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 149 4.5758039050269872e-05</internalNodes>
-          <leafValues>
-            -2.4188159406185150e-01 1.1205270141363144e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 150 8.3619967103004456e-02</internalNodes>
-          <leafValues>
-            -1.6591419279575348e-01 2.9946151375770569e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 151 -1.7055140342563391e-03</internalNodes>
-          <leafValues>
-            6.6100686788558960e-02 -1.7834219336509705e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 152 -5.0255719572305679e-02</internalNodes>
-          <leafValues>
-            5.0841152667999268e-01 -1.0191909968852997e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 153 -1.4493470080196857e-02</internalNodes>
-          <leafValues>
-            3.3411300182342529e-01 -9.1295331716537476e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 154 6.6773351281881332e-03</internalNodes>
-          <leafValues>
-            7.0742093026638031e-02 -7.1941351890563965e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 155 -2.4902720469981432e-03</internalNodes>
-          <leafValues>
-            2.7122259140014648e-01 -2.8118500113487244e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 156 5.9668770991265774e-03</internalNodes>
-          <leafValues>
-            8.6890019476413727e-02 -5.5102467536926270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 157 8.9923879131674767e-03</internalNodes>
-          <leafValues>
-            -1.1156769841909409e-01 1.8312740325927734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 158 -1.8761169631034136e-03</internalNodes>
-          <leafValues>
-            1.6583199799060822e-01 -2.9823789000511169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 159 4.4691809453070164e-03</internalNodes>
-          <leafValues>
-            6.7625999450683594e-02 -5.9995788335800171e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 160 4.9513768404722214e-02</internalNodes>
-          <leafValues>
-            -1.1853209882974625e-01 4.0671309828758240e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 161 -5.2096061408519745e-02</internalNodes>
-          <leafValues>
-            -4.9050968885421753e-01 4.4450759887695312e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 162 -5.7540610432624817e-02</internalNodes>
-          <leafValues>
-            2.2163380682468414e-01 -2.2697730362415314e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 163 -1.2027090415358543e-02</internalNodes>
-          <leafValues>
-            -7.8315860033035278e-01 2.5225780904293060e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 164 4.3592308647930622e-03</internalNodes>
-          <leafValues>
-            7.8445762395858765e-02 -5.4399901628494263e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 165 1.0845139622688293e-02</internalNodes>
-          <leafValues>
-            4.3532259762287140e-02 -7.5301069021224976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 166 -2.2464629728347063e-04</internalNodes>
-          <leafValues>
-            1.8881680071353912e-01 -2.1684129536151886e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>36</maxWeakCount>
-      <stageThreshold>-1.5700939893722534e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 167 1.5167570114135742e-01</internalNodes>
-          <leafValues>
-            -3.1243559718132019e-01 3.9714258909225464e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 168 -5.6243538856506348e-03</internalNodes>
-          <leafValues>
-            2.8443521261215210e-01 -4.6888008713722229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 169 -1.3363420031964779e-02</internalNodes>
-          <leafValues>
-            2.9847151041030884e-01 -2.8974089026451111e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 170 1.1973579972982407e-01</internalNodes>
-          <leafValues>
-            -2.5059941411018372e-01 3.6980310082435608e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 171 2.9538029804825783e-02</internalNodes>
-          <leafValues>
-            -5.3302282094955444e-01 1.9540609419345856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 172 2.2876099683344364e-03</internalNodes>
-          <leafValues>
-            -3.9356181025505066e-01 2.2455599904060364e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 173 3.3369789889547974e-05</internalNodes>
-          <leafValues>
-            -4.2540431022644043e-01 1.2474709749221802e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 174 1.2203590013086796e-02</internalNodes>
-          <leafValues>
-            -1.1117500066757202e-01 3.3035451173782349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 175 2.8831530362367630e-02</internalNodes>
-          <leafValues>
-            -2.6190409064292908e-01 2.6021391153335571e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 176 2.3157240357249975e-03</internalNodes>
-          <leafValues>
-            5.2618000656366348e-02 -6.1872607469558716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 177 3.3288369886577129e-03</internalNodes>
-          <leafValues>
-            7.9465217888355255e-02 -6.1543351411819458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 178 -4.1650598868727684e-03</internalNodes>
-          <leafValues>
-            2.2358900308609009e-01 -2.8173050284385681e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 179 -5.5534418672323227e-02</internalNodes>
-          <leafValues>
-            5.3370571136474609e-01 -9.7847342491149902e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 180 1.0430039837956429e-02</internalNodes>
-          <leafValues>
-            -3.1936469674110413e-01 1.3222220540046692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 181 7.3731052875518799e-01</internalNodes>
-          <leafValues>
-            8.5652276873588562e-02 -5.6832748651504517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 182 2.1106310188770294e-02</internalNodes>
-          <leafValues>
-            1.0350720025599003e-02 -4.3624758720397949e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 183 1.8394569633528590e-03</internalNodes>
-          <leafValues>
-            -3.0258610844612122e-01 1.8252749741077423e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 184 -6.2626888975501060e-03</internalNodes>
-          <leafValues>
-            -7.0305782556533813e-01 3.4566838294267654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 185 -2.5872439146041870e-03</internalNodes>
-          <leafValues>
-            1.9593180716037750e-01 -2.5039601325988770e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 186 7.9651866108179092e-03</internalNodes>
-          <leafValues>
-            5.6051678955554962e-02 -4.8542159795761108e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 187 -2.6494610309600830e-01</internalNodes>
-          <leafValues>
-            -7.4813681840896606e-01 5.7292331010103226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 188 -8.7696090340614319e-03</internalNodes>
-          <leafValues>
-            5.5027532577514648e-01 -9.8186388611793518e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 189 9.3607688322663307e-03</internalNodes>
-          <leafValues>
-            8.7964951992034912e-02 -6.3283741474151611e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 190 6.7315441556274891e-03</internalNodes>
-          <leafValues>
-            -1.1990720033645630e-01 2.6050290465354919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 191 -4.8705069348216057e-03</internalNodes>
-          <leafValues>
-            -6.7054021358489990e-01 6.8369716405868530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 192 -3.3518500626087189e-02</internalNodes>
-          <leafValues>
-            4.3754190206527710e-01 -5.5987328290939331e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 193 7.6086460612714291e-03</internalNodes>
-          <leafValues>
-            -2.5253391265869141e-01 1.9854959845542908e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 194 1.8334789201617241e-02</internalNodes>
-          <leafValues>
-            8.3083607256412506e-02 -4.9109730124473572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 195 -2.7305909898132086e-03</internalNodes>
-          <leafValues>
-            -4.8166638612747192e-01 8.7030112743377686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 196 -2.5308089330792427e-02</internalNodes>
-          <leafValues>
-            -5.1370352506637573e-01 3.1775940209627151e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 197 -6.7148888483643532e-03</internalNodes>
-          <leafValues>
-            -4.6419641375541687e-01 8.6918152868747711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 198 -1.3796479906886816e-03</internalNodes>
-          <leafValues>
-            1.1364360153675079e-01 -1.0997840017080307e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 199 -1.7988620325922966e-02</internalNodes>
-          <leafValues>
-            -5.6473308801651001e-01 8.4838069975376129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 200 1.2048670032527298e-04</internalNodes>
-          <leafValues>
-            -3.3594891428947449e-01 1.1819580197334290e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 201 -7.3997122235596180e-03</internalNodes>
-          <leafValues>
-            -7.1109187602996826e-01 5.0271350890398026e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 202 -4.4395271688699722e-03</internalNodes>
-          <leafValues>
-            2.4038110673427582e-01 -8.4818542003631592e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>37</maxWeakCount>
-      <stageThreshold>-1.5616159439086914e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 203 6.7837378010153770e-03</internalNodes>
-          <leafValues>
-            -2.4474079906940460e-01 5.2373462915420532e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 204 -2.6304289698600769e-02</internalNodes>
-          <leafValues>
-            2.3381529748439789e-01 -4.2366439104080200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 205 7.0552483201026917e-02</internalNodes>
-          <leafValues>
-            -4.8068380355834961e-01 2.1674250066280365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 206 1.1588639765977859e-01</internalNodes>
-          <leafValues>
-            -2.1499669551849365e-01 2.6753580570220947e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 207 1.0048950091004372e-02</internalNodes>
-          <leafValues>
-            -2.0594270527362823e-01 4.0484279394149780e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 208 1.4628170058131218e-02</internalNodes>
-          <leafValues>
-            4.5195270329713821e-02 -4.3382239341735840e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 209 1.0691519826650620e-01</internalNodes>
-          <leafValues>
-            -4.0005341172218323e-01 1.5653589367866516e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 210 2.1544670686125755e-02</internalNodes>
-          <leafValues>
-            -3.8369441032409668e-01 1.2536710500717163e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 211 5.0607468001544476e-03</internalNodes>
-          <leafValues>
-            -1.3730029761791229e-01 5.3118318319320679e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 212 -4.9039809964597225e-03</internalNodes>
-          <leafValues>
-            -6.9460391998291016e-01 7.7118568122386932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 213 5.5592060089111328e-02</internalNodes>
-          <leafValues>
-            8.4951102733612061e-02 -6.1610800027847290e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 214 -5.3959678858518600e-02</internalNodes>
-          <leafValues>
-            -3.7826099991798401e-01 3.3103808760643005e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 215 3.6401430406840518e-05</internalNodes>
-          <leafValues>
-            -3.6711519956588745e-01 1.3446779549121857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 216 -5.5411658249795437e-03</internalNodes>
-          <leafValues>
-            -5.7400441169738770e-01 7.4292019009590149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 217 7.9086691141128540e-01</internalNodes>
-          <leafValues>
-            7.7422752976417542e-02 -6.3653308153152466e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 218 4.4924449175596237e-03</internalNodes>
-          <leafValues>
-            6.8504527211189270e-02 -5.3273099660873413e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 219 -6.8721971474587917e-03</internalNodes>
-          <leafValues>
-            -6.5151798725128174e-01 6.4900688827037811e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 220 4.6454541385173798e-02</internalNodes>
-          <leafValues>
-            -1.1238980293273926e-01 2.0744140446186066e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 221 6.0355630703270435e-03</internalNodes>
-          <leafValues>
-            -8.8757097721099854e-02 5.4748558998107910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 222 3.9944230229593813e-04</internalNodes>
-          <leafValues>
-            8.6624041199684143e-02 -4.6936568617820740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 223 7.5040599331259727e-03</internalNodes>
-          <leafValues>
-            -9.2116452753543854e-02 5.3663599491119385e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 224 -1.5840120613574982e-02</internalNodes>
-          <leafValues>
-            3.8116949796676636e-01 -6.9548472762107849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 225 5.7859481312334538e-03</internalNodes>
-          <leafValues>
-            8.0815151333808899e-02 -5.5126720666885376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 226 -6.8534379824995995e-03</internalNodes>
-          <leafValues>
-            2.0171649754047394e-01 -2.9816129803657532e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 227 -3.2146628655027598e-05</internalNodes>
-          <leafValues>
-            1.6275359690189362e-01 -2.5661829113960266e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 228 4.8393569886684418e-02</internalNodes>
-          <leafValues>
-            6.8830713629722595e-02 -5.7602387666702271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 229 4.5954588800668716e-02</internalNodes>
-          <leafValues>
-            5.7024329900741577e-02 -6.5287989377975464e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 230 1.1721630580723286e-03</internalNodes>
-          <leafValues>
-            1.0443740338087082e-01 -2.3838600516319275e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 231 4.0837051346898079e-03</internalNodes>
-          <leafValues>
-            -8.1231042742729187e-02 5.0901311635971069e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 232 -1.6486380249261856e-02</internalNodes>
-          <leafValues>
-            -5.5164510011672974e-01 6.5037772059440613e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 233 -1.5899680554866791e-02</internalNodes>
-          <leafValues>
-            -6.0929298400878906e-01 6.0179140418767929e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 234 -3.7392228841781616e-04</internalNodes>
-          <leafValues>
-            -4.7092041373252869e-01 9.4327569007873535e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 235 4.5171450823545456e-02</internalNodes>
-          <leafValues>
-            -1.5723140537738800e-01 2.5750550627708435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 236 3.9194729179143906e-03</internalNodes>
-          <leafValues>
-            -1.1993490159511566e-01 4.1458979249000549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 237 4.8551987856626511e-03</internalNodes>
-          <leafValues>
-            8.4063969552516937e-02 -5.1544702053070068e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 238 4.9727171659469604e-02</internalNodes>
-          <leafValues>
-            -8.0618113279342651e-02 2.8510481119155884e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 239 -2.5979800149798393e-02</internalNodes>
-          <leafValues>
-            2.0879699289798737e-01 -1.9923439621925354e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>41</maxWeakCount>
-      <stageThreshold>-1.4751789569854736e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 240 3.6881880369037390e-03</internalNodes>
-          <leafValues>
-            -2.0089849829673767e-01 5.8759230375289917e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 241 1.2514260411262512e-01</internalNodes>
-          <leafValues>
-            -3.3750560879707336e-01 3.0424299836158752e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 242 1.0761030018329620e-02</internalNodes>
-          <leafValues>
-            -1.7004770040512085e-01 4.1313949227333069e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 243 5.7919409126043320e-02</internalNodes>
-          <leafValues>
-            1.1780419945716858e-01 -5.8375751972198486e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 244 1.4278049580752850e-02</internalNodes>
-          <leafValues>
-            -5.2599787712097168e-01 1.3024589419364929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 245 9.2770338058471680e-02</internalNodes>
-          <leafValues>
-            -2.8803780674934387e-01 2.0918029546737671e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 246 -1.2687300331890583e-03</internalNodes>
-          <leafValues>
-            -6.8545269966125488e-01 6.7969717085361481e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 247 -4.1586877778172493e-03</internalNodes>
-          <leafValues>
-            1.5776990354061127e-01 -3.7061429023742676e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 248 -2.6486739516258240e-03</internalNodes>
-          <leafValues>
-            1.4115740358829498e-01 -3.8789930939674377e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 249 3.3513078960822895e-05</internalNodes>
-          <leafValues>
-            -1.7047059535980225e-01 9.1491073369979858e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 250 4.1814000724116340e-05</internalNodes>
-          <leafValues>
-            -3.3629861474037170e-01 1.5615530312061310e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 251 -1.0579999536275864e-02</internalNodes>
-          <leafValues>
-            5.1775962114334106e-01 -1.2346430122852325e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 252 9.6945222467184067e-03</internalNodes>
-          <leafValues>
-            -9.3172810971736908e-02 5.4562288522720337e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 253 2.5123909115791321e-02</internalNodes>
-          <leafValues>
-            2.9200939461588860e-02 -3.9561650156974792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 254 -1.9009890820598230e-05</internalNodes>
-          <leafValues>
-            1.3413070142269135e-01 -3.5932931303977966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 255 1.1085460428148508e-03</internalNodes>
-          <leafValues>
-            7.0447176694869995e-02 -5.0175982713699341e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 256 8.4646381437778473e-02</internalNodes>
-          <leafValues>
-            -1.4077399671077728e-01 2.9327180981636047e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 257 -4.6889279037714005e-02</internalNodes>
-          <leafValues>
-            5.4173952341079712e-01 -7.2838932275772095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 258 -1.9944239407777786e-02</internalNodes>
-          <leafValues>
-            -4.9865978956222534e-01 9.5483623445034027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 259 2.3346049711108208e-03</internalNodes>
-          <leafValues>
-            -3.4936821460723877e-01 8.6551502346992493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 260 -1.2524469755589962e-02</internalNodes>
-          <leafValues>
-            4.2317241430282593e-01 -1.0624880343675613e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 261 7.4971290305256844e-03</internalNodes>
-          <leafValues>
-            -7.7121920883655548e-02 3.3112499117851257e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 262 -4.3038600124418736e-03</internalNodes>
-          <leafValues>
-            4.4627100229263306e-01 -9.7493350505828857e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 263 -2.4376739747822285e-03</internalNodes>
-          <leafValues>
-            -6.3246351480484009e-01 7.2243332862854004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 264 4.0068682283163071e-03</internalNodes>
-          <leafValues>
-            7.4511006474494934e-02 -5.2885991334915161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 265 1.6935829818248749e-01</internalNodes>
-          <leafValues>
-            1.9200190901756287e-02 -9.3619912862777710e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 266 -5.1640910096466541e-03</internalNodes>
-          <leafValues>
-            -4.5252829790115356e-01 8.3753086626529694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 267 2.1301470696926117e-03</internalNodes>
-          <leafValues>
-            5.9029411524534225e-02 -5.9486192464828491e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 268 -1.0491809807717800e-03</internalNodes>
-          <leafValues>
-            1.4820049703121185e-01 -2.5729310512542725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 269 6.5077878534793854e-03</internalNodes>
-          <leafValues>
-            -1.0978510230779648e-01 4.8351821303367615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 270 1.0791060049086809e-03</internalNodes>
-          <leafValues>
-            8.5893951356410980e-02 -4.9897330999374390e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 271 -1.1327429674565792e-02</internalNodes>
-          <leafValues>
-            -8.8535779714584351e-01 1.2531019747257233e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 272 -7.9090192914009094e-02</internalNodes>
-          <leafValues>
-            5.3530997037887573e-01 -7.0534676313400269e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 273 8.9392989873886108e-02</internalNodes>
-          <leafValues>
-            -2.3977179080247879e-02 5.4723167419433594e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 274 -1.1642159894108772e-02</internalNodes>
-          <leafValues>
-            2.4973329901695251e-01 -1.4847369492053986e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 275 7.8169062733650208e-02</internalNodes>
-          <leafValues>
-            4.7635629773139954e-02 -5.1396459341049194e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 276 -5.2542597986757755e-03</internalNodes>
-          <leafValues>
-            -4.8597300052642822e-01 7.2495378553867340e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 277 5.8305509388446808e-02</internalNodes>
-          <leafValues>
-            1.6267899423837662e-02 -5.8864599466323853e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 278 5.8591919951140881e-03</internalNodes>
-          <leafValues>
-            -3.1926271319389343e-01 1.3474270701408386e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 279 -2.9373338911682367e-03</internalNodes>
-          <leafValues>
-            4.2839759588241577e-01 -9.2287540435791016e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 280 -3.7391098885564134e-05</internalNodes>
-          <leafValues>
-            2.0448459684848785e-01 -1.8515400588512421e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>49</maxWeakCount>
-      <stageThreshold>-1.5896049737930298e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 281 -6.1791189946234226e-03</internalNodes>
-          <leafValues>
-            2.8580269217491150e-01 -3.7005850672721863e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 282 4.1821770370006561e-02</internalNodes>
-          <leafValues>
-            -5.3575879335403442e-01 1.6827170550823212e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 283 5.7136882096529007e-03</internalNodes>
-          <leafValues>
-            -3.2001748681068420e-01 2.6822981238365173e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 284 2.8650460299104452e-03</internalNodes>
-          <leafValues>
-            -4.2462509870529175e-01 1.3827459514141083e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 285 2.9460960067808628e-03</internalNodes>
-          <leafValues>
-            -3.9784219861030579e-01 2.0654679834842682e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 286 4.6483702026307583e-03</internalNodes>
-          <leafValues>
-            -1.9075180590152740e-01 2.4786050617694855e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 287 2.3228039499372244e-03</internalNodes>
-          <leafValues>
-            -5.2134007215499878e-01 1.0562290251255035e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 288 -7.4393101967871189e-03</internalNodes>
-          <leafValues>
-            1.6785180568695068e-01 -2.1561630070209503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 289 2.8299659607000649e-04</internalNodes>
-          <leafValues>
-            -3.8065499067306519e-01 1.4934809505939484e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 290 -1.3282369822263718e-02</internalNodes>
-          <leafValues>
-            8.6049616336822510e-02 -2.3779979348182678e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 291 -1.1417060159146786e-02</internalNodes>
-          <leafValues>
-            4.0117940306663513e-01 -1.3484360277652740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 292 -1.4769020676612854e-01</internalNodes>
-          <leafValues>
-            -4.8844268918037415e-01 1.5933260321617126e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 293 -3.2284119515679777e-04</internalNodes>
-          <leafValues>
-            1.1826100200414658e-01 -3.8623189926147461e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 294 -3.6730729334522039e-05</internalNodes>
-          <leafValues>
-            1.0511270165443420e-01 -1.2332110106945038e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 295 4.3103349162265658e-04</internalNodes>
-          <leafValues>
-            8.0074340105056763e-02 -5.6408351659774780e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 296 -8.7611482013016939e-04</internalNodes>
-          <leafValues>
-            -4.1123768687248230e-01 3.5481810569763184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 297 -3.6012110649608076e-04</internalNodes>
-          <leafValues>
-            -3.9288720488548279e-01 1.0729379951953888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 298 1.1329179629683495e-02</internalNodes>
-          <leafValues>
-            -7.7669121325016022e-02 3.0630418658256531e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 299 -8.5942242294549942e-03</internalNodes>
-          <leafValues>
-            4.0262201428413391e-01 -1.1348369717597961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 300 -1.1088109575212002e-02</internalNodes>
-          <leafValues>
-            1.3112230598926544e-01 -1.6582110524177551e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 301 -2.3962128907442093e-03</internalNodes>
-          <leafValues>
-            1.8446379899978638e-01 -2.1245540678501129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 302 1.4491369947791100e-03</internalNodes>
-          <leafValues>
-            1.3291729986667633e-01 -3.4224191308021545e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 303 -2.3471130989491940e-03</internalNodes>
-          <leafValues>
-            -5.9373968839645386e-01 5.2677150815725327e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 304 -3.3021058887243271e-02</internalNodes>
-          <leafValues>
-            2.0655089616775513e-01 -1.1640720069408417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 305 -1.7596699297428131e-02</internalNodes>
-          <leafValues>
-            1.1615789681673050e-01 -2.8771498799324036e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 306 9.0615563094615936e-02</internalNodes>
-          <leafValues>
-            4.9429651349782944e-02 -5.9598392248153687e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 307 -4.1973239183425903e-01</internalNodes>
-          <leafValues>
-            -9.1762787103652954e-01 2.9144510626792908e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 308 -4.5256591401994228e-03</internalNodes>
-          <leafValues>
-            3.0929449200630188e-01 -1.1589109897613525e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 309 -3.1792598747415468e-05</internalNodes>
-          <leafValues>
-            1.2300709635019302e-01 -2.6961469650268555e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 310 9.3048512935638428e-03</internalNodes>
-          <leafValues>
-            -1.6311720013618469e-01 4.5435959100723267e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 311 1.8182669579982758e-01</internalNodes>
-          <leafValues>
-            -6.5462931990623474e-02 5.2403932809829712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 312 7.6404958963394165e-03</internalNodes>
-          <leafValues>
-            -2.8455978631973267e-01 9.9262543022632599e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 313 5.8155450969934464e-03</internalNodes>
-          <leafValues>
-            -1.8076479434967041e-01 1.9177889823913574e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 314 2.0472649484872818e-02</internalNodes>
-          <leafValues>
-            -4.2547050863504410e-02 4.9899381399154663e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 315 -9.9484594538807869e-03</internalNodes>
-          <leafValues>
-            4.5864629745483398e-01 -8.2073070108890533e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 316 5.6835189461708069e-03</internalNodes>
-          <leafValues>
-            7.0460416376590729e-02 -4.9191218614578247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 317 6.8594329059123993e-04</internalNodes>
-          <leafValues>
-            -2.5722059607505798e-01 1.3338489830493927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 318 8.5325147956609726e-03</internalNodes>
-          <leafValues>
-            5.4296270012855530e-02 -4.8597770929336548e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 319 -2.9188990592956543e-03</internalNodes>
-          <leafValues>
-            -3.6844459176063538e-01 8.7630286812782288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 320 -5.1809879951179028e-03</internalNodes>
-          <leafValues>
-            2.6872760057449341e-01 -1.3063269853591919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 321 -9.3669425696134567e-03</internalNodes>
-          <leafValues>
-            3.7982439994812012e-01 -8.4970362484455109e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 322 2.1493609528988600e-03</internalNodes>
-          <leafValues>
-            6.7364171147346497e-02 -3.8138151168823242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 323 7.9133054241538048e-03</internalNodes>
-          <leafValues>
-            6.1179801821708679e-02 -4.7124278545379639e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 324 3.3651650883257389e-03</internalNodes>
-          <leafValues>
-            -1.9406950473785400e-01 1.6957849264144897e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 325 5.9752619563369080e-05</internalNodes>
-          <leafValues>
-            -3.1296211481094360e-01 9.8244443535804749e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 326 -4.8905829899013042e-03</internalNodes>
-          <leafValues>
-            2.4011640250682831e-01 -4.0517911314964294e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 327 -1.6692260280251503e-02</internalNodes>
-          <leafValues>
-            -5.8297210931777954e-01 5.1860880106687546e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 328 2.6945179700851440e-01</internalNodes>
-          <leafValues>
-            2.1222369745373726e-02 -5.0650900602340698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 329 2.5985699892044067e-01</internalNodes>
-          <leafValues>
-            4.3021328747272491e-02 -6.9706851243972778e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>54</maxWeakCount>
-      <stageThreshold>-1.5319960117340088e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 330 9.6479244530200958e-03</internalNodes>
-          <leafValues>
-            -2.1499650180339813e-01 4.5064011216163635e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 331 1.1707089841365814e-01</internalNodes>
-          <leafValues>
-            -4.5927199721336365e-01 1.4997510612010956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 332 -7.2843180969357491e-03</internalNodes>
-          <leafValues>
-            2.0559869706630707e-01 -3.4988620877265930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 333 4.3017291318392381e-05</internalNodes>
-          <leafValues>
-            -2.9128479957580566e-01 1.4479379355907440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 334 -1.6313560307025909e-02</internalNodes>
-          <leafValues>
-            3.6099588871002197e-01 -1.4882080256938934e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 335 3.8464391231536865e-01</internalNodes>
-          <leafValues>
-            4.7116551548242569e-02 -5.4356420040130615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 336 4.4735490519087762e-05</internalNodes>
-          <leafValues>
-            -4.7153618931770325e-01 1.0130570083856583e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 337 2.8128800913691521e-03</internalNodes>
-          <leafValues>
-            2.5190239772200584e-02 -3.8858410716056824e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 338 6.5664112567901611e-02</internalNodes>
-          <leafValues>
-            -1.9981299340724945e-01 2.7820420265197754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 339 3.6691401153802872e-02</internalNodes>
-          <leafValues>
-            -3.2141581177711487e-01 8.3295859396457672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 340 1.9937170669436455e-02</internalNodes>
-          <leafValues>
-            9.6269257366657257e-02 -4.8872131109237671e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 341 -4.8181511461734772e-02</internalNodes>
-          <leafValues>
-            -4.3690940737724304e-01 4.0801100432872772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 342 -6.4909900538623333e-03</internalNodes>
-          <leafValues>
-            1.5237170457839966e-01 -2.8793171048164368e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 343 -2.1715220063924789e-03</internalNodes>
-          <leafValues>
-            -4.5620518922805786e-01 9.0800173580646515e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 344 -1.9035710021853447e-02</internalNodes>
-          <leafValues>
-            1.6175259649753571e-01 -2.4115300178527832e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 345 -1.7119180411100388e-02</internalNodes>
-          <leafValues>
-            -5.1326441764831543e-01 4.2472470551729202e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 346 -1.8220050260424614e-02</internalNodes>
-          <leafValues>
-            -7.0324420928955078e-01 4.4962640851736069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 347 -8.9265108108520508e-03</internalNodes>
-          <leafValues>
-            4.3140518665313721e-01 -1.9158810377120972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 348 -8.3519242703914642e-02</internalNodes>
-          <leafValues>
-            -6.1536192893981934e-01 7.4886828660964966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 349 3.6072250804863870e-04</internalNodes>
-          <leafValues>
-            5.7905141264200211e-02 -4.1235160827636719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 350 4.9997381865978241e-03</internalNodes>
-          <leafValues>
-            -6.9844640791416168e-02 5.6807458400726318e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 351 -8.4604680538177490e-02</internalNodes>
-          <leafValues>
-            5.8838641643524170e-01 -6.4438559114933014e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 352 -2.5773020461201668e-02</internalNodes>
-          <leafValues>
-            -7.4485701322555542e-01 5.8126550167798996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 353 8.6997799575328827e-02</internalNodes>
-          <leafValues>
-            8.3158798515796661e-03 -5.0057667493820190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 354 -4.9193361774086952e-03</internalNodes>
-          <leafValues>
-            -5.0268518924713135e-01 6.2273811548948288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 355 7.9372245818376541e-03</internalNodes>
-          <leafValues>
-            -1.0656870156526566e-01 4.9397408962249756e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 356 2.3460648953914642e-03</internalNodes>
-          <leafValues>
-            7.8172452747821808e-02 -4.3537878990173340e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 357 -2.4173699319362640e-02</internalNodes>
-          <leafValues>
-            1.4930419623851776e-01 -1.8787060678005219e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 358 5.0533721223473549e-03</internalNodes>
-          <leafValues>
-            -1.0777329653501511e-01 3.3679130673408508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 359 -1.7847840487957001e-01</internalNodes>
-          <leafValues>
-            3.2536488771438599e-01 -4.3528459966182709e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 360 -9.2971222475171089e-03</internalNodes>
-          <leafValues>
-            -5.4683762788772583e-01 6.4206808805465698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 361 -4.5331679284572601e-03</internalNodes>
-          <leafValues>
-            -2.7402278780937195e-01 6.9679208099842072e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 362 4.4196969829499722e-03</internalNodes>
-          <leafValues>
-            -2.6736640930175781e-01 1.2777979671955109e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 363 -2.4256419390439987e-02</internalNodes>
-          <leafValues>
-            -7.3339939117431641e-01 3.4833770245313644e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 364 1.2094249948859215e-02</internalNodes>
-          <leafValues>
-            6.7233562469482422e-02 -4.4198140501976013e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 365 -3.1668329029344022e-04</internalNodes>
-          <leafValues>
-            -3.4792518615722656e-01 8.6957253515720367e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 366 6.6463160328567028e-03</internalNodes>
-          <leafValues>
-            -7.4840560555458069e-02 4.2975288629531860e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 367 -8.7216906249523163e-03</internalNodes>
-          <leafValues>
-            6.5960638225078583e-02 -1.1695290356874466e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 368 3.8271831726888195e-05</internalNodes>
-          <leafValues>
-            -2.6323419809341431e-01 1.2117200344800949e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 369 -2.7925189584493637e-02</internalNodes>
-          <leafValues>
-            1.1978749930858612e-01 -1.0626199841499329e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 370 -3.6273279692977667e-03</internalNodes>
-          <leafValues>
-            1.2563459575176239e-01 -2.6336249709129333e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 371 -1.1868350207805634e-02</internalNodes>
-          <leafValues>
-            2.7150759100914001e-01 -5.8620139956474304e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 372 4.4153559952974319e-02</internalNodes>
-          <leafValues>
-            -1.1503530293703079e-01 3.1426700949668884e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 373 2.4056360125541687e-02</internalNodes>
-          <leafValues>
-            7.5575739145278931e-02 -4.2317551374435425e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 374 6.9733301643282175e-04</internalNodes>
-          <leafValues>
-            -9.7587190568447113e-02 3.2876640558242798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 375 -6.4465990290045738e-03</internalNodes>
-          <leafValues>
-            -7.1510308980941772e-01 2.5225099176168442e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 376 -8.1870909780263901e-03</internalNodes>
-          <leafValues>
-            -7.6685047149658203e-01 3.2576881349086761e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 377 -2.7694210875779390e-03</internalNodes>
-          <leafValues>
-            2.4075849354267120e-01 -1.4446850121021271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 378 5.9827328659594059e-03</internalNodes>
-          <leafValues>
-            -7.9637400805950165e-02 3.3648189902305603e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 379 7.5759701430797577e-03</internalNodes>
-          <leafValues>
-            -7.7287860214710236e-02 3.6068120598793030e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 380 -3.7349949125200510e-03</internalNodes>
-          <leafValues>
-            3.5057601332664490e-01 -1.0241500288248062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 381 3.2173299696296453e-03</internalNodes>
-          <leafValues>
-            6.4644902944564819e-02 -5.0682359933853149e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 382 5.2299688104540110e-04</internalNodes>
-          <leafValues>
-            5.5405199527740479e-02 -4.9950990080833435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 383 4.8098989645950496e-04</internalNodes>
-          <leafValues>
-            -2.4837599694728851e-01 7.4951313436031342e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>63</maxWeakCount>
-      <stageThreshold>-1.5442479848861694e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 384 -3.2547898590564728e-02</internalNodes>
-          <leafValues>
-            2.5708261132240295e-01 -3.2944089174270630e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 385 4.6782270073890686e-02</internalNodes>
-          <leafValues>
-            -3.3552670478820801e-01 1.4950010180473328e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 386 1.1599030112847686e-03</internalNodes>
-          <leafValues>
-            -2.1494610607624054e-01 2.9501560330390930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 387 4.7644421458244324e-02</internalNodes>
-          <leafValues>
-            -1.7128750681877136e-01 9.9497273564338684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 388 6.2301728874444962e-02</internalNodes>
-          <leafValues>
-            -3.8296920061111450e-01 1.8469420075416565e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 389 1.6393130645155907e-02</internalNodes>
-          <leafValues>
-            -4.8794609308242798e-01 1.9131919741630554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 390 6.3293199054896832e-03</internalNodes>
-          <leafValues>
-            -1.8209590017795563e-01 2.8313478827476501e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 391 6.4573478884994984e-03</internalNodes>
-          <leafValues>
-            3.9345800876617432e-02 -5.2096349000930786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 392 -2.5518420152366161e-03</internalNodes>
-          <leafValues>
-            2.1809610724449158e-01 -2.0214560627937317e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 393 2.6448559947311878e-03</internalNodes>
-          <leafValues>
-            -9.7657637670636177e-03 -5.8440917730331421e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 394 3.3177100704051554e-05</internalNodes>
-          <leafValues>
-            -2.9121240973472595e-01 1.3445389270782471e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 395 -4.0287282317876816e-03</internalNodes>
-          <leafValues>
-            2.7975788712501526e-01 -1.0854139924049377e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 396 1.7501820111647248e-03</internalNodes>
-          <leafValues>
-            8.0245189368724823e-02 -5.1040309667587280e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 397 -9.8289866000413895e-03</internalNodes>
-          <leafValues>
-            2.2203339636325836e-01 -2.5279709696769714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 398 -1.1355300433933735e-02</internalNodes>
-          <leafValues>
-            -5.6477332115173340e-01 6.1788219958543777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 399 6.1084949411451817e-03</internalNodes>
-          <leafValues>
-            -1.2973600625991821e-01 3.1682729721069336e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 400 -1.0406709770904854e-04</internalNodes>
-          <leafValues>
-            1.2907129526138306e-01 -2.5948029756546021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 401 2.6019159704446793e-03</internalNodes>
-          <leafValues>
-            4.8421688377857208e-02 -5.4648971557617188e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 402 -5.9403157792985439e-03</internalNodes>
-          <leafValues>
-            -5.5114412307739258e-01 5.9723380953073502e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 403 -4.0788599289953709e-03</internalNodes>
-          <leafValues>
-            7.9743288457393646e-02 -1.7927250266075134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 404 -8.8134910911321640e-03</internalNodes>
-          <leafValues>
-            3.8017749786376953e-01 -8.6376570165157318e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 405 -2.3983590304851532e-02</internalNodes>
-          <leafValues>
-            -4.9645310640335083e-01 5.4226141422986984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 406 3.9569390937685966e-03</internalNodes>
-          <leafValues>
-            5.1663581281900406e-02 -5.6799358129501343e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 407 -1.3359559699892998e-02</internalNodes>
-          <leafValues>
-            2.3724800348281860e-01 -3.2083779573440552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 408 8.6046587675809860e-03</internalNodes>
-          <leafValues>
-            -8.2463279366493225e-02 4.0011510252952576e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 409 -8.4893424063920975e-03</internalNodes>
-          <leafValues>
-            -5.2815818786621094e-01 6.8383157253265381e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 410 7.7398498542606831e-03</internalNodes>
-          <leafValues>
-            -4.3508920073509216e-01 6.3567712903022766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 411 5.4778340272605419e-03</internalNodes>
-          <leafValues>
-            2.4115180596709251e-02 -4.5364230871200562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 412 -5.3739761933684349e-03</internalNodes>
-          <leafValues>
-            -4.8526778817176819e-01 6.2529832124710083e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 413 -6.5155163407325745e-02</internalNodes>
-          <leafValues>
-            3.3586868643760681e-01 -1.1969889700412750e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 414 3.1082800123840570e-03</internalNodes>
-          <leafValues>
-            -9.3668088316917419e-02 3.1569510698318481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 415 -5.6411409750580788e-03</internalNodes>
-          <leafValues>
-            4.1902360320091248e-01 -5.2446529269218445e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 416 1.0050649754703045e-02</internalNodes>
-          <leafValues>
-            6.9715507328510284e-02 -4.8279500007629395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 417 -6.4478779677301645e-04</internalNodes>
-          <leafValues>
-            -3.9206001162528992e-01 2.6635570451617241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 418 4.2866038711508736e-05</internalNodes>
-          <leafValues>
-            -2.8287550806999207e-01 9.8806321620941162e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 419 5.5659800767898560e-02</internalNodes>
-          <leafValues>
-            3.4592561423778534e-02 -5.7936602830886841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 420 -1.9027240574359894e-02</internalNodes>
-          <leafValues>
-            1.2798109650611877e-01 -2.2252650558948517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 421 -5.4886029101908207e-03</internalNodes>
-          <leafValues>
-            2.2120019793510437e-01 -1.4247809350490570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 422 -9.1977212578058243e-03</internalNodes>
-          <leafValues>
-            1.1419790238142014e-01 -2.5367730855941772e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 423 1.5616010129451752e-01</internalNodes>
-          <leafValues>
-            -2.4698130786418915e-02 6.4977157115936279e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 424 1.0394269973039627e-01</internalNodes>
-          <leafValues>
-            -4.7591820359230042e-02 6.7088091373443604e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 425 2.3722560144960880e-03</internalNodes>
-          <leafValues>
-            -2.5346800684928894e-01 1.2758140265941620e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 426 6.3766101375222206e-03</internalNodes>
-          <leafValues>
-            -8.0695442855358124e-02 4.2792451381683350e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 427 -1.3368749991059303e-02</internalNodes>
-          <leafValues>
-            1.0521420091390610e-01 -4.7770101577043533e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 428 -5.6055800087051466e-05</internalNodes>
-          <leafValues>
-            1.2017639726400375e-01 -2.5983789563179016e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 429 2.6153340004384518e-03</internalNodes>
-          <leafValues>
-            4.9611940979957581e-02 -4.0553820133209229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 430 -8.5704872617498040e-04</internalNodes>
-          <leafValues>
-            3.6326551437377930e-01 -8.2753598690032959e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 431 4.0100780315697193e-03</internalNodes>
-          <leafValues>
-            4.0156569331884384e-02 -5.6216222047805786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 432 1.5721879899501801e-02</internalNodes>
-          <leafValues>
-            -1.1804500222206116e-01 2.4654519557952881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 433 -2.6668920181691647e-03</internalNodes>
-          <leafValues>
-            -5.4068821668624878e-01 4.3663289397954941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 434 4.1414599865674973e-02</internalNodes>
-          <leafValues>
-            -8.2976840436458588e-02 3.3884221315383911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 435 4.8187570646405220e-03</internalNodes>
-          <leafValues>
-            4.3414391577243805e-02 -4.0724611282348633e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 436 -5.4356600157916546e-03</internalNodes>
-          <leafValues>
-            3.3830219507217407e-01 -9.0368166565895081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 437 -4.6245800331234932e-03</internalNodes>
-          <leafValues>
-            4.8925418406724930e-02 -1.0818439722061157e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 438 -5.0910529680550098e-03</internalNodes>
-          <leafValues>
-            3.3953168988227844e-01 -7.7847503125667572e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 439 -6.9446121342480183e-03</internalNodes>
-          <leafValues>
-            -3.6882779002189636e-01 3.4155908972024918e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 440 -5.2966130897402763e-03</internalNodes>
-          <leafValues>
-            -4.6671220660209656e-01 5.5030699819326401e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 441 8.2239676266908646e-03</internalNodes>
-          <leafValues>
-            -1.9418859854340553e-02 2.7148181200027466e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 442 -6.9603421725332737e-03</internalNodes>
-          <leafValues>
-            1.3864019513130188e-01 -2.1237270534038544e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 443 -3.5027971025556326e-03</internalNodes>
-          <leafValues>
-            4.8216879367828369e-01 -8.9572787284851074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 444 -3.3562759199412540e-05</internalNodes>
-          <leafValues>
-            1.7753930389881134e-01 -1.5390409529209137e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 445 -1.1905809864401817e-02</internalNodes>
-          <leafValues>
-            -4.4905489683151245e-01 4.8765189945697784e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 446 1.0403740452602506e-03</internalNodes>
-          <leafValues>
-            6.9199390709400177e-02 -3.9061141014099121e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>68</maxWeakCount>
-      <stageThreshold>-1.5824840068817139e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 447 1.1477550119161606e-01</internalNodes>
-          <leafValues>
-            -3.5392341017723083e-01 2.4686269462108612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 448 -8.3238538354635239e-03</internalNodes>
-          <leafValues>
-            3.5804480314254761e-01 -2.9096409678459167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 449 3.3069178462028503e-02</internalNodes>
-          <leafValues>
-            -4.5017778873443604e-01 1.4678280055522919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 450 -9.8486011847853661e-03</internalNodes>
-          <leafValues>
-            1.5487630665302277e-01 -1.5467190742492676e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 451 -3.6737930495291948e-03</internalNodes>
-          <leafValues>
-            2.7250599861145020e-01 -2.0117540657520294e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 452 -3.5203520674258471e-03</internalNodes>
-          <leafValues>
-            2.1894049644470215e-01 -3.0996188521385193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 453 -2.9107630252838135e-03</internalNodes>
-          <leafValues>
-            1.7095150053501129e-01 -2.5036340951919556e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 454 1.1107170023024082e-02</internalNodes>
-          <leafValues>
-            -2.9383128881454468e-01 9.0500317513942719e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 455 4.5277690514922142e-03</internalNodes>
-          <leafValues>
-            -3.6567330360412598e-01 7.1812681853771210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 456 1.6910480335354805e-03</internalNodes>
-          <leafValues>
-            -2.4635620415210724e-01 1.4365090429782867e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 457 -5.2848931401968002e-02</internalNodes>
-          <leafValues>
-            -4.8988130688667297e-01 5.8866269886493683e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 458 2.7257269248366356e-02</internalNodes>
-          <leafValues>
-            -1.3318820297718048e-01 1.7798610031604767e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 459 -1.0774610191583633e-01</internalNodes>
-          <leafValues>
-            7.5734657049179077e-01 -4.5793280005455017e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 460 6.2365201301872730e-03</internalNodes>
-          <leafValues>
-            7.6347790658473969e-02 -4.6734619140625000e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 461 -3.2917850185185671e-03</internalNodes>
-          <leafValues>
-            2.5657090544700623e-01 -1.3669669628143311e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 462 -7.0988652296364307e-03</internalNodes>
-          <leafValues>
-            -7.3587757349014282e-01 5.6788709014654160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 463 -2.0502239465713501e-02</internalNodes>
-          <leafValues>
-            -6.1333388090133667e-01 4.0661100298166275e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 464 -5.7894989848136902e-02</internalNodes>
-          <leafValues>
-            -4.2337441444396973e-01 1.6256660223007202e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 465 -7.0625008083879948e-03</internalNodes>
-          <leafValues>
-            1.5070070326328278e-01 -2.1530729532241821e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 466 -1.4774609589949250e-03</internalNodes>
-          <leafValues>
-            9.9447593092918396e-02 -1.9990250468254089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 467 -5.9045450761914253e-03</internalNodes>
-          <leafValues>
-            2.3448540270328522e-01 -1.3239750266075134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 468 4.9114958383142948e-03</internalNodes>
-          <leafValues>
-            5.5307600647211075e-02 -4.1024419665336609e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 469 -4.0302358567714691e-02</internalNodes>
-          <leafValues>
-            5.1089602708816528e-01 -6.7178718745708466e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 470 -3.1478509306907654e-02</internalNodes>
-          <leafValues>
-            -3.5742738842964172e-01 3.4691110253334045e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 471 -2.0419940119609237e-04</internalNodes>
-          <leafValues>
-            1.1907909810543060e-01 -2.6256930828094482e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 472 6.1496188864111900e-03</internalNodes>
-          <leafValues>
-            3.8344919681549072e-02 -7.0752871036529541e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 473 -6.4982818439602852e-03</internalNodes>
-          <leafValues>
-            -5.7135289907455444e-01 4.1346888989210129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 474 -2.0436770282685757e-03</internalNodes>
-          <leafValues>
-            2.1547719836235046e-01 -9.2143923044204712e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 475 8.4923263639211655e-03</internalNodes>
-          <leafValues>
-            5.7075109332799911e-02 -5.3487390279769897e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 476 -2.2661099210381508e-03</internalNodes>
-          <leafValues>
-            2.7374848723411560e-01 -1.8907399475574493e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 477 -3.8180600386112928e-03</internalNodes>
-          <leafValues>
-            -4.9997299909591675e-01 5.6287519633769989e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 478 1.9832929968833923e-01</internalNodes>
-          <leafValues>
-            -4.9284029752016068e-02 3.0991891026496887e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 479 -5.3573800250887871e-03</internalNodes>
-          <leafValues>
-            3.6525368690490723e-01 -8.1586323678493500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 480 -4.1200658306479454e-03</internalNodes>
-          <leafValues>
-            -4.9979409575462341e-01 3.3759441226720810e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 481 2.7241830248385668e-03</internalNodes>
-          <leafValues>
-            -7.4961036443710327e-02 4.0402159094810486e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 482 -1.1279270052909851e-02</internalNodes>
-          <leafValues>
-            -6.2540912628173828e-01 4.0539268404245377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 483 -2.6438670232892036e-02</internalNodes>
-          <leafValues>
-            6.2469798326492310e-01 -5.0695668905973434e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 484 9.3085810542106628e-02</internalNodes>
-          <leafValues>
-            -2.7736229822039604e-02 1.2201499938964844e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 485 3.6821569665335119e-04</internalNodes>
-          <leafValues>
-            6.3227869570255280e-02 -4.5462760329246521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 486 -2.6150209829211235e-02</internalNodes>
-          <leafValues>
-            2.1615530550479889e-01 -3.4189209342002869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 487 -1.5219129621982574e-01</internalNodes>
-          <leafValues>
-            -5.6291139125823975e-01 5.0881389528512955e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 488 -5.3802412003278732e-03</internalNodes>
-          <leafValues>
-            1.1969149857759476e-01 -4.5463770627975464e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 489 3.1421401072293520e-03</internalNodes>
-          <leafValues>
-            3.5171128809452057e-02 -7.5333297252655029e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 490 -2.3642999585717916e-03</internalNodes>
-          <leafValues>
-            -7.8145317733287811e-02 3.6591161042451859e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 491 -3.4253650810569525e-03</internalNodes>
-          <leafValues>
-            2.7961251139640808e-01 -1.0286819934844971e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 492 -1.0126389563083649e-02</internalNodes>
-          <leafValues>
-            1.2946769595146179e-01 -2.0795370638370514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 493 9.5109362155199051e-03</internalNodes>
-          <leafValues>
-            -6.4487166702747345e-02 4.5304939150810242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 494 -2.8382990509271622e-02</internalNodes>
-          <leafValues>
-            1.8103609979152679e-01 -1.2647239863872528e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 495 7.2591200470924377e-02</internalNodes>
-          <leafValues>
-            -1.3137449324131012e-01 2.1626609563827515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 496 5.6936382316052914e-03</internalNodes>
-          <leafValues>
-            -7.3818109929561615e-02 1.0788620263338089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 497 -5.4796910844743252e-03</internalNodes>
-          <leafValues>
-            4.1715219616889954e-01 -6.7778319120407104e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 498 -6.8001292645931244e-02</internalNodes>
-          <leafValues>
-            -5.7230949401855469e-01 5.9687018394470215e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 499 4.1796491132117808e-05</internalNodes>
-          <leafValues>
-            -3.6016240715980530e-01 6.7770622670650482e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 500 -6.0458998195827007e-03</internalNodes>
-          <leafValues>
-            -6.6702812910079956e-01 2.0666399970650673e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 501 -8.9402851881459355e-04</internalNodes>
-          <leafValues>
-            1.8525250256061554e-01 -1.3367660343647003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 502 -5.2337357774376869e-03</internalNodes>
-          <leafValues>
-            -6.4259058237075806e-01 3.8245800882577896e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 503 -1.0876660235226154e-02</internalNodes>
-          <leafValues>
-            -6.5612989664077759e-01 3.0916240066289902e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 504 1.0764590464532375e-02</internalNodes>
-          <leafValues>
-            -1.2209519743919373e-01 2.3244349658489227e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 505 6.2717488035559654e-03</internalNodes>
-          <leafValues>
-            3.6665380001068115e-02 -6.4267098903656006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 506 3.9870911277830601e-03</internalNodes>
-          <leafValues>
-            -1.0013840347528458e-01 2.6687619090080261e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 507 5.6966538541018963e-03</internalNodes>
-          <leafValues>
-            4.1680138558149338e-02 -6.2925517559051514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 508 -2.4660900235176086e-03</internalNodes>
-          <leafValues>
-            3.0375760793685913e-01 -8.9954569935798645e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 509 4.3577459291554987e-04</internalNodes>
-          <leafValues>
-            5.6845329701900482e-02 -4.4916090369224548e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 510 -8.6022150935605168e-04</internalNodes>
-          <leafValues>
-            -3.1331560015678406e-01 2.2231949493288994e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 511 -3.6151748645352200e-05</internalNodes>
-          <leafValues>
-            1.6037069261074066e-01 -1.5645219385623932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 512 -1.2417449615895748e-03</internalNodes>
-          <leafValues>
-            3.6251470446586609e-01 -6.8029686808586121e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 513 -9.3716438859701157e-03</internalNodes>
-          <leafValues>
-            -6.5667027235031128e-01 3.9296999573707581e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 514 5.0649640616029501e-04</internalNodes>
-          <leafValues>
-            -9.9897801876068115e-02 2.5486990809440613e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>71</maxWeakCount>
-      <stageThreshold>-1.4470269680023193e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 515 6.9536222144961357e-03</internalNodes>
-          <leafValues>
-            -3.0070298910140991e-01 2.8844910860061646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 516 1.5524399280548096e-01</internalNodes>
-          <leafValues>
-            -2.8483951091766357e-01 1.2542790174484253e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 517 -9.5990058034658432e-03</internalNodes>
-          <leafValues>
-            2.6636219024658203e-01 -2.2467589378356934e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 518 8.2325551193207502e-04</internalNodes>
-          <leafValues>
-            -1.5014129877090454e-01 1.7611239850521088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 519 -6.3837850466370583e-03</internalNodes>
-          <leafValues>
-            -5.3211832046508789e-01 8.8923923671245575e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 520 -1.8110420554876328e-02</internalNodes>
-          <leafValues>
-            2.9294028878211975e-01 -1.8418279290199280e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 521 -2.2221719846129417e-03</internalNodes>
-          <leafValues>
-            2.3608820140361786e-01 -1.8082359433174133e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 522 -4.2745987884700298e-03</internalNodes>
-          <leafValues>
-            1.1372009664773941e-01 -2.8232550621032715e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 523 -1.1924340389668941e-02</internalNodes>
-          <leafValues>
-            3.0177098512649536e-01 -1.3063450157642365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 524 2.1337319631129503e-03</internalNodes>
-          <leafValues>
-            -2.0078870654106140e-01 1.0759650170803070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 525 3.9748410927131772e-05</internalNodes>
-          <leafValues>
-            -3.3652520179748535e-01 9.8408773541450500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 526 -7.4939359910786152e-03</internalNodes>
-          <leafValues>
-            4.4728818535804749e-01 -1.2359820306301117e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 527 -5.4673082195222378e-03</internalNodes>
-          <leafValues>
-            -3.7992051243782043e-01 9.0167470276355743e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 528 -4.6410970389842987e-02</internalNodes>
-          <leafValues>
-            -4.7909379005432129e-01 2.2162070497870445e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 529 -1.8335790373384953e-03</internalNodes>
-          <leafValues>
-            1.4062260091304779e-01 -2.7500510215759277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 530 3.2272320822812617e-04</internalNodes>
-          <leafValues>
-            4.4330291450023651e-02 -3.1671470403671265e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 531 -2.0776148885488510e-03</internalNodes>
-          <leafValues>
-            4.1858351230621338e-01 -7.0875823497772217e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 532 -7.9464362934231758e-03</internalNodes>
-          <leafValues>
-            -7.9281628131866455e-01 1.9778270274400711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 533 1.8161779735237360e-03</internalNodes>
-          <leafValues>
-            -3.5335579514503479e-01 8.0757312476634979e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 534 -1.3951859727967530e-04</internalNodes>
-          <leafValues>
-            8.7176196277141571e-02 -2.3442719876766205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 535 -3.0605921056121588e-03</internalNodes>
-          <leafValues>
-            1.9965550303459167e-01 -1.4475509524345398e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 536 -3.5044189542531967e-02</internalNodes>
-          <leafValues>
-            -4.6923148632049561e-01 6.3744127750396729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 537 2.2343990206718445e-01</internalNodes>
-          <leafValues>
-            3.6188349127769470e-02 -6.7740142345428467e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 538 6.2643741257488728e-03</internalNodes>
-          <leafValues>
-            5.3922589868307114e-02 -2.9957211017608643e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 539 5.1456191577017307e-03</internalNodes>
-          <leafValues>
-            -8.5695646703243256e-02 3.4958600997924805e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 540 -4.5792991295456886e-04</internalNodes>
-          <leafValues>
-            -3.7274828553199768e-01 5.2098128944635391e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 541 -8.9521985501050949e-03</internalNodes>
-          <leafValues>
-            -5.5943322181701660e-01 4.5037239789962769e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 542 -8.8845528662204742e-03</internalNodes>
-          <leafValues>
-            -8.2152491807937622e-01 1.9023310393095016e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 543 -8.3964038640260696e-04</internalNodes>
-          <leafValues>
-            1.3553179800510406e-01 -1.9439619779586792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 544 5.7581579312682152e-03</internalNodes>
-          <leafValues>
-            3.4872371703386307e-02 -6.1317610740661621e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 545 -3.2971119508147240e-03</internalNodes>
-          <leafValues>
-            2.0933049917221069e-01 -1.1797709763050079e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 546 6.6358018666505814e-03</internalNodes>
-          <leafValues>
-            -1.2625180184841156e-01 2.3151409626007080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 547 9.1771818697452545e-03</internalNodes>
-          <leafValues>
-            4.2256359010934830e-02 -6.4281421899795532e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 548 -1.8898380920290947e-02</internalNodes>
-          <leafValues>
-            -5.4784798622131348e-01 2.4022759869694710e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 549 -1.3961439952254295e-02</internalNodes>
-          <leafValues>
-            1.3342179358005524e-01 -1.8949310481548309e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 550 3.9351810701191425e-03</internalNodes>
-          <leafValues>
-            1.2323100119829178e-02 -4.8017400503158569e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 551 2.8737629763782024e-03</internalNodes>
-          <leafValues>
-            -6.3833169639110565e-02 3.8450908660888672e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 552 -2.1502410527318716e-03</internalNodes>
-          <leafValues>
-            2.4967829883098602e-01 -8.3693861961364746e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 553 -2.0945349708199501e-02</internalNodes>
-          <leafValues>
-            -4.6581479907035828e-01 5.9967949986457825e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 554 1.2025360483676195e-03</internalNodes>
-          <leafValues>
-            -7.4031457304954529e-02 2.6217839121818542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 555 -1.2649910058826208e-03</internalNodes>
-          <leafValues>
-            -5.6358098983764648e-01 4.7350831329822540e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 556 -3.5608751204563305e-05</internalNodes>
-          <leafValues>
-            8.3944819867610931e-02 -9.2339277267456055e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 557 1.7638429999351501e-03</internalNodes>
-          <leafValues>
-            -6.7106232047080994e-02 3.5390651226043701e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 558 2.6478520594537258e-03</internalNodes>
-          <leafValues>
-            4.9792490899562836e-02 -5.6108528375625610e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 559 1.1421759845688939e-03</internalNodes>
-          <leafValues>
-            -8.0566927790641785e-02 3.1899300217628479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 560 -3.7144690286368132e-03</internalNodes>
-          <leafValues>
-            -2.1286490559577942e-01 6.6972009837627411e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 561 4.6520791947841644e-03</internalNodes>
-          <leafValues>
-            5.9289190918207169e-02 -4.5674440264701843e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 562 -4.7056251205503941e-03</internalNodes>
-          <leafValues>
-            -2.4541069567203522e-01 2.4544840678572655e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 563 7.1251969784498215e-03</internalNodes>
-          <leafValues>
-            3.8318928331136703e-02 -6.4973872900009155e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 564 -6.7658387124538422e-02</internalNodes>
-          <leafValues>
-            4.0030410885810852e-01 -3.2079871743917465e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 565 3.5729840397834778e-02</internalNodes>
-          <leafValues>
-            -7.0430107414722443e-02 3.0633118748664856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 566 -3.3828441053628922e-02</internalNodes>
-          <leafValues>
-            5.0491297245025635e-01 -3.5456459969282150e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 567 1.3351860456168652e-02</internalNodes>
-          <leafValues>
-            -1.7890280485153198e-01 1.4767180383205414e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 568 8.7488196790218353e-02</internalNodes>
-          <leafValues>
-            4.3538779020309448e-02 -4.6793699264526367e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 569 3.6777120549231768e-03</internalNodes>
-          <leafValues>
-            -2.0427100360393524e-01 1.5148130059242249e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 570 1.0766600025817752e-03</internalNodes>
-          <leafValues>
-            -9.6319787204265594e-02 3.5530230402946472e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 571 5.2243531681597233e-03</internalNodes>
-          <leafValues>
-            5.3389668464660645e-02 -4.5717859268188477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 572 -9.5345107838511467e-03</internalNodes>
-          <leafValues>
-            1.4912480115890503e-01 -1.4985750615596771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 573 4.2573010432533920e-05</internalNodes>
-          <leafValues>
-            -1.3890530169010162e-01 1.5467180311679840e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 574 -1.5596169978380203e-03</internalNodes>
-          <leafValues>
-            -5.4723149538040161e-01 3.4767109900712967e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 575 7.6222111238166690e-04</internalNodes>
-          <leafValues>
-            -7.8980550169944763e-02 2.8355160355567932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 576 -2.1907720714807510e-02</internalNodes>
-          <leafValues>
-            -4.3671789765357971e-01 5.1701240241527557e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 577 4.6507688239216805e-05</internalNodes>
-          <leafValues>
-            -3.1914091110229492e-01 6.2482111155986786e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 578 -2.9253138927742839e-04</internalNodes>
-          <leafValues>
-            -2.4766990542411804e-01 8.4014937281608582e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 579 3.0009269248694181e-03</internalNodes>
-          <leafValues>
-            -1.1042869836091995e-01 1.9720460474491119e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 580 8.7042397353798151e-04</internalNodes>
-          <leafValues>
-            6.7197367548942566e-02 -1.8366929888725281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 581 7.6602102490141988e-04</internalNodes>
-          <leafValues>
-            -6.4485676586627960e-02 3.2467260956764221e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 582 3.3248408726649359e-05</internalNodes>
-          <leafValues>
-            -9.8362646996974945e-02 8.6462937295436859e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 583 1.2568470556288958e-03</internalNodes>
-          <leafValues>
-            4.9354679882526398e-02 -4.3177890777587891e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 584 -9.7309090197086334e-03</internalNodes>
-          <leafValues>
-            -2.7393120527267456e-01 3.9641439914703369e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 585 5.8255670592188835e-03</internalNodes>
-          <leafValues>
-            -7.0380076766014099e-02 3.0546179413795471e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>77</maxWeakCount>
-      <stageThreshold>-1.4913309812545776e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 586 -6.9308779202401638e-03</internalNodes>
-          <leafValues>
-            2.3897680640220642e-01 -3.3735579252243042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 587 6.3356258906424046e-03</internalNodes>
-          <leafValues>
-            -2.0606219768524170e-01 2.4546289443969727e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 588 3.2951928675174713e-02</internalNodes>
-          <leafValues>
-            -4.8151299357414246e-01 1.3534410297870636e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 589 -2.0294299349188805e-02</internalNodes>
-          <leafValues>
-            2.4425999820232391e-01 -3.0648550391197205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 590 -8.0935731530189514e-03</internalNodes>
-          <leafValues>
-            2.1754260361194611e-01 -2.3051339387893677e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 591 -3.2209409400820732e-03</internalNodes>
-          <leafValues>
-            2.4082750082015991e-01 -1.4753510057926178e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 592 3.6949120461940765e-02</internalNodes>
-          <leafValues>
-            -2.8758960962295532e-01 1.7237929999828339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 593 1.0001210030168295e-03</internalNodes>
-          <leafValues>
-            -1.8483549356460571e-01 1.0649669915437698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 594 -4.9832418881123886e-05</internalNodes>
-          <leafValues>
-            1.0084930062294006e-01 -3.7289780378341675e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 595 4.6645071357488632e-02</internalNodes>
-          <leafValues>
-            7.1331411600112915e-02 -4.2174908518791199e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 596 2.9729669913649559e-03</internalNodes>
-          <leafValues>
-            -2.3385779559612274e-01 1.5728150308132172e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 597 1.1885419953614473e-03</internalNodes>
-          <leafValues>
-            -2.1615119278430939e-01 8.5435479879379272e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 598 -2.5504899676889181e-03</internalNodes>
-          <leafValues>
-            2.4453009665012360e-01 -1.3642320036888123e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 599 1.4580690301954746e-02</internalNodes>
-          <leafValues>
-            6.3050612807273865e-02 -4.3805420398712158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 600 1.7621000006329268e-04</internalNodes>
-          <leafValues>
-            -3.5026490688323975e-01 9.7995147109031677e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 601 -1.0763060301542282e-02</internalNodes>
-          <leafValues>
-            -5.5614972114562988e-01 5.2613109350204468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 602 -1.7733459826558828e-03</internalNodes>
-          <leafValues>
-            2.1240839362144470e-01 -1.2885910272598267e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 603 -5.6170229800045490e-03</internalNodes>
-          <leafValues>
-            -5.7895171642303467e-01 2.7056280523538589e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 604 7.8137779235839844e-01</internalNodes>
-          <leafValues>
-            4.3512191623449326e-02 -5.1112377643585205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 605 1.5521559864282608e-02</internalNodes>
-          <leafValues>
-            1.7887489870190620e-02 -4.2302969098091125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 606 -6.0149789787828922e-03</internalNodes>
-          <leafValues>
-            -6.1993318796157837e-01 4.1468121111392975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 607 -1.2032959610223770e-02</internalNodes>
-          <leafValues>
-            3.7520378828048706e-01 -5.2101939916610718e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 608 5.7090952759608626e-04</internalNodes>
-          <leafValues>
-            -2.3000800609588623e-01 1.3806359469890594e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 609 -3.5141059925081208e-05</internalNodes>
-          <leafValues>
-            1.3613599538803101e-01 -1.3633610308170319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 610 3.8827958633191884e-04</internalNodes>
-          <leafValues>
-            6.2043979763984680e-02 -4.0999558568000793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 611 -3.1813879031687975e-03</internalNodes>
-          <leafValues>
-            4.3042609095573425e-01 -5.8574389666318893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 612 1.2359759770333767e-02</internalNodes>
-          <leafValues>
-            -5.3425218909978867e-02 4.4235768914222717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 613 5.3630769252777100e-03</internalNodes>
-          <leafValues>
-            4.8345729708671570e-02 -3.6919850111007690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 614 6.7529240623116493e-03</internalNodes>
-          <leafValues>
-            -6.7788898944854736e-02 4.0632560849189758e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 615 -1.1506180278956890e-02</internalNodes>
-          <leafValues>
-            -2.4940669536590576e-01 3.0043790116906166e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 616 -6.5450267866253853e-03</internalNodes>
-          <leafValues>
-            -5.0393360853195190e-01 5.1048409193754196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 617 -6.4059509895741940e-03</internalNodes>
-          <leafValues>
-            -7.8335607051849365e-01 7.0806178264319897e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 618 -4.7279968857765198e-03</internalNodes>
-          <leafValues>
-            -6.8467348814010620e-01 3.3867139369249344e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 619 -5.2285747369751334e-04</internalNodes>
-          <leafValues>
-            1.4660769701004028e-01 -6.7289963364601135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 620 -9.3035101890563965e-03</internalNodes>
-          <leafValues>
-            -4.0989071130752563e-01 5.7299319654703140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 621 6.8128891289234161e-03</internalNodes>
-          <leafValues>
-            4.2919881641864777e-02 -2.4730630218982697e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 622 4.6791278873570263e-04</internalNodes>
-          <leafValues>
-            -7.5994156301021576e-02 3.0771958827972412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 623 2.3431669920682907e-02</internalNodes>
-          <leafValues>
-            1.0545349679887295e-02 -4.1394978761672974e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 624 9.2174801975488663e-03</internalNodes>
-          <leafValues>
-            5.8044180274009705e-02 -4.0034890174865723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 625 -7.8371819108724594e-03</internalNodes>
-          <leafValues>
-            1.2945890426635742e-01 -7.3255613446235657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 626 3.5635009407997131e-03</internalNodes>
-          <leafValues>
-            -7.1402922272682190e-02 3.4709578752517700e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 627 -5.3719929419457912e-03</internalNodes>
-          <leafValues>
-            6.9731049239635468e-02 -6.1688169836997986e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 628 4.3290190398693085e-02</internalNodes>
-          <leafValues>
-            5.0334971398115158e-02 -4.5517569780349731e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 629 -4.6179331839084625e-03</internalNodes>
-          <leafValues>
-            -4.9110341072082520e-01 3.5927779972553253e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 630 -7.0018521510064602e-03</internalNodes>
-          <leafValues>
-            -6.0634332895278931e-01 3.3043950796127319e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 631 -2.0546320825815201e-02</internalNodes>
-          <leafValues>
-            3.7467220425605774e-01 -6.0966350138187408e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 632 9.0153552591800690e-03</internalNodes>
-          <leafValues>
-            -8.1377029418945312e-02 2.8447070717811584e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 633 1.6945270821452141e-02</internalNodes>
-          <leafValues>
-            1.9947079941630363e-02 -4.2220640182495117e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 634 8.2118361024186015e-04</internalNodes>
-          <leafValues>
-            -2.7205279469490051e-01 9.5590539276599884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 635 3.5344670322956517e-05</internalNodes>
-          <leafValues>
-            -7.9617857933044434e-02 7.4185736477375031e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 636 -8.4219790995121002e-02</internalNodes>
-          <leafValues>
-            -4.8575800657272339e-01 4.2242940515279770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 637 4.3517339974641800e-02</internalNodes>
-          <leafValues>
-            -1.5482529997825623e-01 1.0759840160608292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 638 -8.3383917808532715e-03</internalNodes>
-          <leafValues>
-            4.0242099761962891e-01 -8.3734147250652313e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 639 -2.6848739944398403e-03</internalNodes>
-          <leafValues>
-            2.5776070356369019e-01 -5.7312320917844772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 640 3.9407201111316681e-03</internalNodes>
-          <leafValues>
-            -9.5994941890239716e-02 2.4924820661544800e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 641 -6.5882800845429301e-04</internalNodes>
-          <leafValues>
-            1.2785859405994415e-01 -1.5311600267887115e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 642 -1.1875710450112820e-02</internalNodes>
-          <leafValues>
-            -7.0702570676803589e-01 3.2913740724325180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 643 -2.3982020094990730e-02</internalNodes>
-          <leafValues>
-            -5.0821501016616821e-01 4.6551831066608429e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 644 -2.0041069947183132e-03</internalNodes>
-          <leafValues>
-            -6.8692350387573242e-01 2.5760149583220482e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 645 7.8222304582595825e-03</internalNodes>
-          <leafValues>
-            -4.8103228211402893e-02 2.1432960033416748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 646 1.0946569964289665e-02</internalNodes>
-          <leafValues>
-            -1.6195610165596008e-01 1.6880209743976593e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 647 2.6802860200405121e-02</internalNodes>
-          <leafValues>
-            5.6256961077451706e-02 -2.7505400776863098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 648 3.9884559810161591e-03</internalNodes>
-          <leafValues>
-            -1.2663219869136810e-01 2.1626690030097961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 649 -1.8008690327405930e-02</internalNodes>
-          <leafValues>
-            1.4534379541873932e-01 -5.5422309786081314e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 650 1.7189480364322662e-02</internalNodes>
-          <leafValues>
-            -6.7623190581798553e-02 4.0081891417503357e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 651 -1.2231480330228806e-02</internalNodes>
-          <leafValues>
-            -8.2071441411972046e-01 2.1297780796885490e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 652 1.5830479562282562e-02</internalNodes>
-          <leafValues>
-            3.5207420587539673e-02 -6.0531431436538696e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 653 -1.5264269895851612e-02</internalNodes>
-          <leafValues>
-            -2.7459529042243958e-01 2.2607039660215378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 654 3.8808338344097137e-02</internalNodes>
-          <leafValues>
-            3.9623390883207321e-02 -5.8665269613265991e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 655 1.6585539560765028e-03</internalNodes>
-          <leafValues>
-            2.4927699938416481e-02 -1.7679250240325928e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 656 -7.0774480700492859e-03</internalNodes>
-          <leafValues>
-            3.9536350965499878e-01 -5.4568108171224594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 657 4.7583471314283088e-05</internalNodes>
-          <leafValues>
-            -9.0718649327754974e-02 6.7698262631893158e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 658 4.4619271648116410e-05</internalNodes>
-          <leafValues>
-            -2.3770439624786377e-01 9.9762678146362305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 659 -1.1851030401885509e-02</internalNodes>
-          <leafValues>
-            3.2351729273796082e-01 -3.9586558938026428e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 660 -1.6401939792558551e-03</internalNodes>
-          <leafValues>
-            -2.9881209135055542e-01 7.3466911911964417e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 661 -6.9199479185044765e-03</internalNodes>
-          <leafValues>
-            4.3420779705047607e-01 -1.0284329950809479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 662 -1.1484259739518166e-02</internalNodes>
-          <leafValues>
-            -4.9977409839630127e-01 5.0039488822221756e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>85</maxWeakCount>
-      <stageThreshold>-1.4498629570007324e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 663 5.7978169061243534e-03</internalNodes>
-          <leafValues>
-            -2.5478368997573853e-01 3.1262540817260742e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 664 3.4410690423101187e-03</internalNodes>
-          <leafValues>
-            -1.4427100121974945e-01 1.4882120490074158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 665 1.6638059914112091e-01</internalNodes>
-          <leafValues>
-            -2.9001000523567200e-01 1.7310169339179993e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 666 -7.4716238304972649e-03</internalNodes>
-          <leafValues>
-            2.5105801224708557e-01 -2.0066189765930176e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 667 -3.6712910514324903e-03</internalNodes>
-          <leafValues>
-            2.5619038939476013e-01 -1.9867749512195587e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 668 1.8908550555352122e-04</internalNodes>
-          <leafValues>
-            -1.2631610035896301e-01 1.1225890368223190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 669 -1.9562460947781801e-03</internalNodes>
-          <leafValues>
-            2.2644129395484924e-01 -1.6129520535469055e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 670 -8.1449178978800774e-03</internalNodes>
-          <leafValues>
-            2.5742760300636292e-01 -7.2123177349567413e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 671 6.4932177774608135e-03</internalNodes>
-          <leafValues>
-            -1.8143969774246216e-01 2.2572280466556549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 672 4.5387531281448901e-04</internalNodes>
-          <leafValues>
-            2.3686420172452927e-02 -4.0528649091720581e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 673 4.2509411287028342e-05</internalNodes>
-          <leafValues>
-            -2.9150670766830444e-01 1.1115519702434540e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 674 -1.5767119824886322e-02</internalNodes>
-          <leafValues>
-            -7.3671698570251465e-01 1.0386019945144653e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 675 -6.9369110278785229e-03</internalNodes>
-          <leafValues>
-            1.6062590479850769e-01 -1.8799079954624176e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 676 -3.2210960052907467e-03</internalNodes>
-          <leafValues>
-            1.1640430241823196e-01 -1.8258500099182129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 677 -1.2131559662520885e-02</internalNodes>
-          <leafValues>
-            -6.3532382249832153e-01 3.5376798361539841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 678 -2.6418970082886517e-04</internalNodes>
-          <leafValues>
-            -2.4938230216503143e-01 5.5897600948810577e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 679 1.1737859994173050e-01</internalNodes>
-          <leafValues>
-            3.1205369159579277e-02 -7.4014288187026978e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 680 -1.1690290411934257e-03</internalNodes>
-          <leafValues>
-            7.8599072992801666e-02 -1.7284469306468964e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 681 2.4764470756053925e-02</internalNodes>
-          <leafValues>
-            5.1048379391431808e-02 -5.1298439502716064e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 682 -4.2942222207784653e-03</internalNodes>
-          <leafValues>
-            3.2294911146163940e-01 -9.1555416584014893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 683 1.2354889884591103e-02</internalNodes>
-          <leafValues>
-            -7.1046717464923859e-02 3.7195768952369690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 684 -2.3104460909962654e-02</internalNodes>
-          <leafValues>
-            -5.9680628776550293e-01 1.2195380404591560e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 685 -2.0122020505368710e-03</internalNodes>
-          <leafValues>
-            1.3106389343738556e-01 -2.0082409679889679e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 686 -1.2122809886932373e-02</internalNodes>
-          <leafValues>
-            -3.3110201358795166e-01 3.2431658357381821e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 687 -1.3967029750347137e-02</internalNodes>
-          <leafValues>
-            -4.7931128740310669e-01 5.2107390016317368e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 688 7.5348587706685066e-03</internalNodes>
-          <leafValues>
-            -9.8858788609504700e-02 3.6169511079788208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 689 -1.6827749088406563e-02</internalNodes>
-          <leafValues>
-            -6.1323410272598267e-01 4.3719381093978882e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 690 5.4655349813401699e-03</internalNodes>
-          <leafValues>
-            2.9257390648126602e-02 -4.1502380371093750e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 691 -5.7378439232707024e-03</internalNodes>
-          <leafValues>
-            -4.9381670355796814e-01 4.4704858213663101e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 692 -9.9511053413152695e-03</internalNodes>
-          <leafValues>
-            3.1045120954513550e-01 -6.0698598623275757e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 693 2.8865570202469826e-03</internalNodes>
-          <leafValues>
-            -1.9001829624176025e-01 1.2568040192127228e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 694 4.1129510849714279e-02</internalNodes>
-          <leafValues>
-            3.0545100569725037e-02 -4.2006531357765198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 695 1.6931550204753876e-01</internalNodes>
-          <leafValues>
-            3.2922860234975815e-02 -7.0118480920791626e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 696 3.9114229381084442e-02</internalNodes>
-          <leafValues>
-            -1.2389829754829407e-01 2.5299561023712158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 697 1.4167210459709167e-01</internalNodes>
-          <leafValues>
-            -1.1856999993324280e-01 2.6716861128807068e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 698 2.3257229477167130e-03</internalNodes>
-          <leafValues>
-            2.7907749637961388e-02 -3.4009200334548950e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 699 -2.6245389133691788e-02</internalNodes>
-          <leafValues>
-            9.8266378045082092e-02 -2.5756400823593140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 700 1.8283349927514791e-03</internalNodes>
-          <leafValues>
-            -8.3703443408012390e-02 2.3101350665092468e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 701 4.7496692277491093e-03</internalNodes>
-          <leafValues>
-            6.1327129602432251e-02 -4.3593269586563110e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 702 -4.3565989471971989e-03</internalNodes>
-          <leafValues>
-            -4.2383280396461487e-01 9.4382222741842270e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 703 -3.8147179875522852e-03</internalNodes>
-          <leafValues>
-            -6.4637732505798340e-01 3.7270799279212952e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 704 -2.1859859116375446e-03</internalNodes>
-          <leafValues>
-            2.8486278653144836e-01 -1.9577220082283020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 705 -1.5153910499066114e-03</internalNodes>
-          <leafValues>
-            1.6781100630760193e-01 -1.3713860511779785e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 706 -3.2454739994136617e-05</internalNodes>
-          <leafValues>
-            7.3632411658763885e-02 -7.7787682414054871e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 707 1.1885840445756912e-02</internalNodes>
-          <leafValues>
-            -4.3111089617013931e-02 5.2360087633132935e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 708 4.4173169881105423e-03</internalNodes>
-          <leafValues>
-            4.5849800109863281e-02 -3.2220908999443054e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 709 7.3544741608202457e-03</internalNodes>
-          <leafValues>
-            -7.6994776725769043e-02 2.8344219923019409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 710 -1.4129919931292534e-02</internalNodes>
-          <leafValues>
-            -3.9489749073982239e-01 4.1761901229619980e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 711 6.3752778805792332e-03</internalNodes>
-          <leafValues>
-            4.6900819987058640e-02 -4.8540329933166504e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 712 2.3776849266141653e-03</internalNodes>
-          <leafValues>
-            1.7367800697684288e-02 -2.0004540681838989e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 713 -9.5808254554867744e-03</internalNodes>
-          <leafValues>
-            3.6303970217704773e-01 -6.2879018485546112e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 714 3.8879989006090909e-05</internalNodes>
-          <leafValues>
-            -8.1249810755252838e-02 8.1068873405456543e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 715 -8.8017992675304413e-02</internalNodes>
-          <leafValues>
-            4.4440689682960510e-01 -4.8520348966121674e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 716 1.4197609852999449e-03</internalNodes>
-          <leafValues>
-            -1.0583449900150299e-01 2.3807370662689209e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 717 8.2073677331209183e-03</internalNodes>
-          <leafValues>
-            4.7994330525398254e-02 -4.6953499317169189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 718 -2.9159379191696644e-03</internalNodes>
-          <leafValues>
-            3.7838110327720642e-01 -6.0855239629745483e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 719 -1.2287500314414501e-02</internalNodes>
-          <leafValues>
-            1.2594810128211975e-01 -1.7701840400695801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 720 -5.6836591102182865e-03</internalNodes>
-          <leafValues>
-            2.3341970145702362e-01 -4.4496081769466400e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 721 -1.3924470171332359e-02</internalNodes>
-          <leafValues>
-            -7.2878497838973999e-01 3.0758429318666458e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 722 9.9232727661728859e-03</internalNodes>
-          <leafValues>
-            -3.9361201226711273e-02 3.4838870167732239e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 723 1.0692769661545753e-02</internalNodes>
-          <leafValues>
-            -4.4223789125680923e-02 4.2715668678283691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 724 3.7554800655925646e-05</internalNodes>
-          <leafValues>
-            -6.4494386315345764e-02 1.2572330236434937e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 725 2.7551440871320665e-04</internalNodes>
-          <leafValues>
-            6.7445993423461914e-02 -3.4731999039649963e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 726 3.5946661228081211e-05</internalNodes>
-          <leafValues>
-            -7.5870849192142487e-02 1.2495779991149902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 727 -4.1565788706066087e-05</internalNodes>
-          <leafValues>
-            1.4327770471572876e-01 -1.5775039792060852e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 728 2.9380898922681808e-03</internalNodes>
-          <leafValues>
-            -2.8900629281997681e-01 6.4528502523899078e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 729 2.3380669951438904e-01</internalNodes>
-          <leafValues>
-            -3.8070231676101685e-02 6.0606312751770020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 730 -4.0552138671046123e-05</internalNodes>
-          <leafValues>
-            1.7881380021572113e-01 -9.3907959759235382e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 731 3.6401779652805999e-05</internalNodes>
-          <leafValues>
-            -1.7232389748096466e-01 1.4596420526504517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 732 1.2257539667189121e-02</internalNodes>
-          <leafValues>
-            2.7358820661902428e-02 -5.9449177980422974e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 733 3.4914221032522619e-05</internalNodes>
-          <leafValues>
-            -1.4092069864273071e-01 1.4110060036182404e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 734 5.0704288296401501e-03</internalNodes>
-          <leafValues>
-            -1.1959090083837509e-01 3.3249089121818542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 735 -1.2888760305941105e-02</internalNodes>
-          <leafValues>
-            -6.8956321477890015e-01 3.1754989176988602e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 736 -1.6707969829440117e-02</internalNodes>
-          <leafValues>
-            9.8655208945274353e-02 -1.0937389731407166e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 737 1.1148779653012753e-02</internalNodes>
-          <leafValues>
-            -6.3801966607570648e-02 3.4605810046195984e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 738 -2.7799250092357397e-03</internalNodes>
-          <leafValues>
-            2.0987810194492340e-01 -1.3359400629997253e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 739 -2.4409759498666972e-04</internalNodes>
-          <leafValues>
-            6.9238096475601196e-02 -3.1708741188049316e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 740 -2.9775299131870270e-02</internalNodes>
-          <leafValues>
-            -4.1800031065940857e-01 3.2243121415376663e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 741 -2.9159660916775465e-03</internalNodes>
-          <leafValues>
-            1.3949039578437805e-01 -1.6484509408473969e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 742 -3.3617448934819549e-05</internalNodes>
-          <leafValues>
-            9.9441543221473694e-02 -8.6935497820377350e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 743 -1.2755930423736572e-01</internalNodes>
-          <leafValues>
-            -5.9932261705398560e-01 3.4439250826835632e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 744 1.1930080130696297e-02</internalNodes>
-          <leafValues>
-            3.4306000918149948e-02 -5.4623407125473022e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 745 1.2805329635739326e-02</internalNodes>
-          <leafValues>
-            5.4770689457654953e-02 -3.3244410157203674e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 746 -1.1016329750418663e-02</internalNodes>
-          <leafValues>
-            -3.3880481123924255e-01 1.9317859783768654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 747 -1.5256899641826749e-03</internalNodes>
-          <leafValues>
-            1.9104599952697754e-01 -1.0740239918231964e-01</leafValues></_></weakClassifiers></_></stages>
-  <features>
-    <_>
-      <rects>
-        <_>
-          7 3 30 3 -1.</_>
-        <_>
-          17 3 10 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 5 11 6 -1.</_>
-        <_>
-          34 8 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 9 -1.</_>
-        <_>
-          8 4 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 15 11 -1.</_>
-        <_>
-          20 0 5 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 30 3 -1.</_>
-        <_>
-          17 3 10 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 5 11 6 -1.</_>
-        <_>
-          34 8 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 11 6 -1.</_>
-        <_>
-          0 8 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 0 6 11 -1.</_>
-        <_>
-          22 0 3 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 6 11 -1.</_>
-        <_>
-          20 0 3 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 0 1 9 -1.</_>
-        <_>
-          36 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 27 6 -1.</_>
-        <_>
-          18 0 9 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 0 1 9 -1.</_>
-        <_>
-          36 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 8 -1.</_>
-        <_>
-          7 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 12 8 -1.</_>
-        <_>
-          21 2 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 5 4 -1.</_>
-        <_>
-          1 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 1 9 9 -1.</_>
-        <_>
-          34 4 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 8 4 -1.</_>
-        <_>
-          2 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 12 9 -1.</_>
-        <_>
-          22 2 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 12 9 -1.</_>
-        <_>
-          19 2 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 4 9 3 -1.</_>
-        <_>
-          34 4 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 9 4 2 -1.</_>
-        <_>
-          20 9 2 1 2.</_>
-        <_>
-          22 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 9 -1.</_>
-        <_>
-          8 3 8 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 36 4 -1.</_>
-        <_>
-          16 3 18 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 2 -1.</_>
-        <_>
-          11 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 0 6 10 -1.</_>
-        <_>
-          22 0 3 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 6 -1.</_>
-        <_>
-          0 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 8 11 -1.</_>
-        <_>
-          21 0 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 42 8 -1.</_>
-        <_>
-          1 3 21 4 2.</_>
-        <_>
-          22 7 21 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 0 8 3 -1.</_>
-        <_>
-          26 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 0 3 8 -1.</_>
-        <_>
-          19 2 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          35 3 2 8 -1.</_>
-        <_>
-          35 7 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 36 5 -1.</_>
-        <_>
-          11 4 18 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 21 1 -1.</_>
-        <_>
-          19 0 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 6 -1.</_>
-        <_>
-          8 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 9 11 2 -1.</_>
-        <_>
-          24 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 2 4 -1.</_>
-        <_>
-          2 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          42 4 2 2 -1.</_>
-        <_>
-          42 4 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 2 2 -1.</_>
-        <_>
-          3 4 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 6 16 5 -1.</_>
-        <_>
-          27 6 8 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 4 -1.</_>
-        <_>
-          9 3 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 33 3 -1.</_>
-        <_>
-          17 3 11 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 1 9 9 -1.</_>
-        <_>
-          34 4 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 3 -1.</_>
-        <_>
-          11 2 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 1 8 10 -1.</_>
-        <_>
-          21 1 4 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 26 5 -1.</_>
-        <_>
-          20 3 13 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          40 5 3 6 -1.</_>
-        <_>
-          40 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 3 6 -1.</_>
-        <_>
-          2 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 21 1 -1.</_>
-        <_>
-          20 0 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 11 2 -1.</_>
-        <_>
-          10 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          35 2 4 3 -1.</_>
-        <_>
-          36 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 26 10 -1.</_>
-        <_>
-          9 0 13 5 2.</_>
-        <_>
-          22 5 13 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 44 2 -1.</_>
-        <_>
-          23 9 22 1 2.</_>
-        <_>
-          1 10 22 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 9 2 2 -1.</_>
-        <_>
-          21 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 45 9 -1.</_>
-        <_>
-          15 3 15 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 9 2 2 -1.</_>
-        <_>
-          21 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 9 5 2 -1.</_>
-        <_>
-          39 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 32 3 -1.</_>
-        <_>
-          12 3 16 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 1 11 8 -1.</_>
-        <_>
-          26 3 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 6 9 -1.</_>
-        <_>
-          20 1 3 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          27 3 11 8 -1.</_>
-        <_>
-          27 7 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 9 9 -1.</_>
-        <_>
-          8 4 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 21 1 -1.</_>
-        <_>
-          20 0 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 11 8 -1.</_>
-        <_>
-          9 7 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          38 5 6 2 -1.</_>
-        <_>
-          40 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 16 1 -1.</_>
-        <_>
-          16 9 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 15 10 -1.</_>
-        <_>
-          23 0 5 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 4 2 -1.</_>
-        <_>
-          3 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 5 2 2 -1.</_>
-        <_>
-          31 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 20 6 -1.</_>
-        <_>
-          12 0 10 3 2.</_>
-        <_>
-          22 3 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 0 10 6 -1.</_>
-        <_>
-          31 2 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 1 -1.</_>
-        <_>
-          9 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          25 0 15 4 -1.</_>
-        <_>
-          30 0 5 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 6 1 -1.</_>
-        <_>
-          7 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          38 5 4 4 -1.</_>
-        <_>
-          40 5 2 2 2.</_>
-        <_>
-          38 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 4 4 -1.</_>
-        <_>
-          3 5 2 2 2.</_>
-        <_>
-          5 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 18 9 -1.</_>
-        <_>
-          21 2 6 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 15 11 -1.</_>
-        <_>
-          17 0 5 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 1 -1.</_>
-        <_>
-          10 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 27 7 -1.</_>
-        <_>
-          18 0 9 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 3 4 -1.</_>
-        <_>
-          9 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 3 9 8 -1.</_>
-        <_>
-          21 3 3 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 11 6 -1.</_>
-        <_>
-          0 8 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 44 8 -1.</_>
-        <_>
-          23 3 22 4 2.</_>
-        <_>
-          1 7 22 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 4 4 -1.</_>
-        <_>
-          2 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 3 11 8 -1.</_>
-        <_>
-          24 7 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 39 9 -1.</_>
-        <_>
-          16 4 13 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 7 11 4 -1.</_>
-        <_>
-          24 9 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 22 6 -1.</_>
-        <_>
-          11 4 11 3 2.</_>
-        <_>
-          22 7 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 9 6 2 -1.</_>
-        <_>
-          35 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 7 6 -1.</_>
-        <_>
-          6 2 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 0 6 1 -1.</_>
-        <_>
-          24 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 3 -1.</_>
-        <_>
-          4 2 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 9 9 2 -1.</_>
-        <_>
-          36 10 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 2 -1.</_>
-        <_>
-          8 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 9 10 2 -1.</_>
-        <_>
-          23 9 5 1 2.</_>
-        <_>
-          18 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 30 6 -1.</_>
-        <_>
-          7 0 15 3 2.</_>
-        <_>
-          22 3 15 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 5 3 6 -1.</_>
-        <_>
-          22 7 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 10 2 -1.</_>
-        <_>
-          16 9 5 1 2.</_>
-        <_>
-          21 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 9 11 2 -1.</_>
-        <_>
-          24 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 7 3 -1.</_>
-        <_>
-          5 3 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 0 4 1 -1.</_>
-        <_>
-          26 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 4 1 -1.</_>
-        <_>
-          17 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 0 11 4 -1.</_>
-        <_>
-          26 2 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 22 3 -1.</_>
-        <_>
-          18 3 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          32 1 4 6 -1.</_>
-        <_>
-          34 1 2 3 2.</_>
-        <_>
-          32 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 1 2 3 2.</_>
-        <_>
-          11 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 12 11 -1.</_>
-        <_>
-          21 0 4 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 11 8 -1.</_>
-        <_>
-          1 7 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          25 9 11 2 -1.</_>
-        <_>
-          25 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 6 4 -1.</_>
-        <_>
-          3 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 1 11 8 -1.</_>
-        <_>
-          24 3 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 32 7 -1.</_>
-        <_>
-          12 0 16 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 30 8 -1.</_>
-        <_>
-          23 0 15 4 2.</_>
-        <_>
-          8 4 15 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 6 9 -1.</_>
-        <_>
-          22 2 3 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 26 2 -1.</_>
-        <_>
-          30 0 13 1 2.</_>
-        <_>
-          17 1 13 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 1 2 -1.</_>
-        <_>
-          20 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          38 9 6 2 -1.</_>
-        <_>
-          38 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 8 2 -1.</_>
-        <_>
-          1 10 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 0 11 4 -1.</_>
-        <_>
-          31 1 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 6 3 -1.</_>
-        <_>
-          9 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 3 4 4 -1.</_>
-        <_>
-          36 3 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 2 3 -1.</_>
-        <_>
-          17 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          25 1 11 6 -1.</_>
-        <_>
-          25 3 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 12 1 -1.</_>
-        <_>
-          19 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 32 4 -1.</_>
-        <_>
-          27 1 16 2 2.</_>
-        <_>
-          11 3 16 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 11 6 -1.</_>
-        <_>
-          10 3 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 2 5 3 -1.</_>
-        <_>
-          38 3 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 11 4 -1.</_>
-        <_>
-          10 9 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 2 5 3 -1.</_>
-        <_>
-          38 3 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 2 1 -1.</_>
-        <_>
-          4 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          39 2 5 3 -1.</_>
-        <_>
-          38 3 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 3 5 -1.</_>
-        <_>
-          7 3 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          35 9 4 2 -1.</_>
-        <_>
-          36 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 12 10 -1.</_>
-        <_>
-          19 1 4 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 32 3 -1.</_>
-        <_>
-          13 3 16 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 5 6 2 -1.</_>
-        <_>
-          32 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 6 5 -1.</_>
-        <_>
-          20 2 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          35 2 4 3 -1.</_>
-        <_>
-          36 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 6 5 4 -1.</_>
-        <_>
-          0 8 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 4 6 4 -1.</_>
-        <_>
-          35 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 2 -1.</_>
-        <_>
-          13 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 24 6 -1.</_>
-        <_>
-          29 3 8 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 10 8 -1.</_>
-        <_>
-          8 7 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 21 1 -1.</_>
-        <_>
-          20 0 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 3 -1.</_>
-        <_>
-          8 3 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 18 8 -1.</_>
-        <_>
-          22 2 6 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 1 2 -1.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          27 4 2 5 -1.</_>
-        <_>
-          27 4 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 36 10 -1.</_>
-        <_>
-          2 0 18 5 2.</_>
-        <_>
-          20 5 18 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 1 2 1 -1.</_>
-        <_>
-          26 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 12 9 -1.</_>
-        <_>
-          18 2 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 4 9 6 -1.</_>
-        <_>
-          34 4 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 10 6 -1.</_>
-        <_>
-          5 2 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          35 2 3 4 -1.</_>
-        <_>
-          34 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 9 6 2 -1.</_>
-        <_>
-          7 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          40 5 4 2 -1.</_>
-        <_>
-          40 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 3 3 -1.</_>
-        <_>
-          20 1 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 0 11 4 -1.</_>
-        <_>
-          31 1 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 15 1 -1.</_>
-        <_>
-          10 0 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 12 2 -1.</_>
-        <_>
-          23 8 6 1 2.</_>
-        <_>
-          17 9 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 6 9 -1.</_>
-        <_>
-          22 2 3 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          32 1 6 10 -1.</_>
-        <_>
-          34 1 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 9 6 -1.</_>
-        <_>
-          8 4 3 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          29 0 2 3 -1.</_>
-        <_>
-          28 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 2 -1.</_>
-        <_>
-          17 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          34 8 6 3 -1.</_>
-        <_>
-          36 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 2 1 -1.</_>
-        <_>
-          3 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 33 2 -1.</_>
-        <_>
-          17 3 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          35 2 4 3 -1.</_>
-        <_>
-          36 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 9 2 -1.</_>
-        <_>
-          8 5 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 12 10 -1.</_>
-        <_>
-          21 1 4 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 11 6 -1.</_>
-        <_>
-          0 7 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          29 9 11 2 -1.</_>
-        <_>
-          29 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 2 1 -1.</_>
-        <_>
-          18 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 0 11 4 -1.</_>
-        <_>
-          31 1 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 32 6 -1.</_>
-        <_>
-          2 1 16 3 2.</_>
-        <_>
-          18 4 16 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 9 6 2 -1.</_>
-        <_>
-          24 9 3 1 2.</_>
-        <_>
-          21 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 10 2 -1.</_>
-        <_>
-          17 9 5 1 2.</_>
-        <_>
-          22 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          41 4 4 6 -1.</_>
-        <_>
-          41 4 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 6 -1.</_>
-        <_>
-          4 2 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 21 1 -1.</_>
-        <_>
-          20 0 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 39 9 -1.</_>
-        <_>
-          16 3 13 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 9 11 2 -1.</_>
-        <_>
-          30 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 11 2 -1.</_>
-        <_>
-          5 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 9 8 2 -1.</_>
-        <_>
-          24 9 4 1 2.</_>
-        <_>
-          20 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 6 3 -1.</_>
-        <_>
-          3 5 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          29 0 6 3 -1.</_>
-        <_>
-          31 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 39 9 -1.</_>
-        <_>
-          16 3 13 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 1 5 3 -1.</_>
-        <_>
-          34 2 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 3 -1.</_>
-        <_>
-          12 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 1 8 3 -1.</_>
-        <_>
-          33 2 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 10 2 -1.</_>
-        <_>
-          16 9 5 1 2.</_>
-        <_>
-          21 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 5 9 6 -1.</_>
-        <_>
-          22 5 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 12 2 -1.</_>
-        <_>
-          20 9 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 10 20 1 -1.</_>
-        <_>
-          24 10 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 2 1 -1.</_>
-        <_>
-          18 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 10 20 1 -1.</_>
-        <_>
-          24 10 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 8 -1.</_>
-        <_>
-          0 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 10 20 1 -1.</_>
-        <_>
-          24 10 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 20 1 -1.</_>
-        <_>
-          11 10 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          42 7 3 4 -1.</_>
-        <_>
-          42 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 2 -1.</_>
-        <_>
-          8 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 1 6 3 -1.</_>
-        <_>
-          33 2 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 2 -1.</_>
-        <_>
-          13 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          26 1 11 8 -1.</_>
-        <_>
-          26 3 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 30 3 -1.</_>
-        <_>
-          18 4 15 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 12 9 -1.</_>
-        <_>
-          21 0 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 9 4 -1.</_>
-        <_>
-          2 1 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 12 1 -1.</_>
-        <_>
-          22 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 28 5 -1.</_>
-        <_>
-          14 0 14 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 5 11 6 -1.</_>
-        <_>
-          26 8 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 2 -1.</_>
-        <_>
-          5 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          40 7 5 4 -1.</_>
-        <_>
-          40 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 34 6 -1.</_>
-        <_>
-          5 5 17 3 2.</_>
-        <_>
-          22 8 17 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 38 3 -1.</_>
-        <_>
-          7 2 19 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 1 2 -1.</_>
-        <_>
-          3 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 7 2 2 -1.</_>
-        <_>
-          31 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 45 9 -1.</_>
-        <_>
-          15 3 15 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          35 9 6 2 -1.</_>
-        <_>
-          37 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 6 2 -1.</_>
-        <_>
-          6 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 5 9 6 -1.</_>
-        <_>
-          22 5 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 3 3 -1.</_>
-        <_>
-          7 3 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 2 2 -1.</_>
-        <_>
-          23 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 2 -1.</_>
-        <_>
-          5 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 8 9 -1.</_>
-        <_>
-          22 2 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 8 2 -1.</_>
-        <_>
-          5 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          32 3 6 7 -1.</_>
-        <_>
-          34 3 2 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          9 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 22 6 -1.</_>
-        <_>
-          23 0 11 3 2.</_>
-        <_>
-          12 3 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 16 6 -1.</_>
-        <_>
-          14 1 8 3 2.</_>
-        <_>
-          22 4 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 0 6 4 -1.</_>
-        <_>
-          32 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 4 2 -1.</_>
-        <_>
-          4 4 2 1 2.</_>
-        <_>
-          6 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 0 6 4 -1.</_>
-        <_>
-          32 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          11 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 2 2 -1.</_>
-        <_>
-          23 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 9 6 -1.</_>
-        <_>
-          20 5 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 5 4 2 -1.</_>
-        <_>
-          31 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 2 2 -1.</_>
-        <_>
-          2 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 7 12 4 -1.</_>
-        <_>
-          23 7 4 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 10 6 -1.</_>
-        <_>
-          7 4 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 2 -1.</_>
-        <_>
-          12 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 30 2 -1.</_>
-        <_>
-          18 3 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          6 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 32 8 -1.</_>
-        <_>
-          23 3 16 4 2.</_>
-        <_>
-          7 7 16 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 3 8 -1.</_>
-        <_>
-          7 7 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 12 11 -1.</_>
-        <_>
-          21 0 4 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 2 -1.</_>
-        <_>
-          0 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 5 9 6 -1.</_>
-        <_>
-          34 5 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 6 -1.</_>
-        <_>
-          4 3 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          27 1 2 1 -1.</_>
-        <_>
-          27 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 8 1 -1.</_>
-        <_>
-          18 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 2 6 3 -1.</_>
-        <_>
-          33 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 3 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 5 9 6 -1.</_>
-        <_>
-          34 5 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 9 6 -1.</_>
-        <_>
-          8 5 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 9 4 2 -1.</_>
-        <_>
-          23 9 2 1 2.</_>
-        <_>
-          21 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 12 6 -1.</_>
-        <_>
-          19 5 4 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 6 11 -1.</_>
-        <_>
-          20 0 3 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 32 2 -1.</_>
-        <_>
-          9 7 16 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 7 11 4 -1.</_>
-        <_>
-          24 9 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 7 4 -1.</_>
-        <_>
-          6 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 0 5 3 -1.</_>
-        <_>
-          34 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 5 3 -1.</_>
-        <_>
-          6 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          35 9 4 2 -1.</_>
-        <_>
-          36 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          16 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 34 8 -1.</_>
-        <_>
-          24 0 17 4 2.</_>
-        <_>
-          7 4 17 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 2 3 -1.</_>
-        <_>
-          17 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          35 9 4 2 -1.</_>
-        <_>
-          36 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 2 -1.</_>
-        <_>
-          11 0 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 6 4 3 -1.</_>
-        <_>
-          34 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 9 4 2 -1.</_>
-        <_>
-          20 9 2 1 2.</_>
-        <_>
-          22 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 9 6 2 -1.</_>
-        <_>
-          36 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 8 9 -1.</_>
-        <_>
-          22 2 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 5 12 6 -1.</_>
-        <_>
-          25 5 4 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 8 4 -1.</_>
-        <_>
-          16 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          25 1 6 4 -1.</_>
-        <_>
-          25 1 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          15 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 7 11 4 -1.</_>
-        <_>
-          24 9 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 11 4 -1.</_>
-        <_>
-          10 9 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          32 5 3 2 -1.</_>
-        <_>
-          33 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 2 -1.</_>
-        <_>
-          15 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 3 4 -1.</_>
-        <_>
-          12 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 0 12 5 -1.</_>
-        <_>
-          21 0 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 4 -1.</_>
-        <_>
-          6 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          38 7 7 4 -1.</_>
-        <_>
-          38 9 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 4 3 4 -1.</_>
-        <_>
-          21 4 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          35 0 7 4 -1.</_>
-        <_>
-          35 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 6 4 -1.</_>
-        <_>
-          0 9 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 3 6 8 -1.</_>
-        <_>
-          35 3 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 4 1 -1.</_>
-        <_>
-          17 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 2 12 9 -1.</_>
-        <_>
-          34 2 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 3 -1.</_>
-        <_>
-          6 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          30 3 12 8 -1.</_>
-        <_>
-          34 3 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 8 -1.</_>
-        <_>
-          7 3 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 8 2 2 -1.</_>
-        <_>
-          25 8 1 1 2.</_>
-        <_>
-          24 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 8 2 2 -1.</_>
-        <_>
-          19 8 1 1 2.</_>
-        <_>
-          20 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 8 2 2 -1.</_>
-        <_>
-          25 8 1 1 2.</_>
-        <_>
-          24 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 8 2 2 -1.</_>
-        <_>
-          19 8 1 1 2.</_>
-        <_>
-          20 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 22 2 -1.</_>
-        <_>
-          31 0 11 1 2.</_>
-        <_>
-          20 1 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 22 2 -1.</_>
-        <_>
-          3 0 11 1 2.</_>
-        <_>
-          14 1 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          29 0 3 9 -1.</_>
-        <_>
-          30 3 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 3 -1.</_>
-        <_>
-          14 4 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          41 0 4 2 -1.</_>
-        <_>
-          42 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 2 -1.</_>
-        <_>
-          7 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 5 12 4 -1.</_>
-        <_>
-          25 5 4 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 11 9 -1.</_>
-        <_>
-          10 3 11 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 44 6 -1.</_>
-        <_>
-          23 4 22 3 2.</_>
-        <_>
-          1 7 22 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 42 9 -1.</_>
-        <_>
-          15 4 14 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 4 3 2 -1.</_>
-        <_>
-          40 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 2 6 -1.</_>
-        <_>
-          2 3 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 3 3 3 -1.</_>
-        <_>
-          32 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 12 11 -1.</_>
-        <_>
-          22 0 6 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 6 11 4 -1.</_>
-        <_>
-          24 8 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 12 1 -1.</_>
-        <_>
-          19 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 3 3 3 -1.</_>
-        <_>
-          32 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 3 3 3 -1.</_>
-        <_>
-          13 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          30 0 6 2 -1.</_>
-        <_>
-          32 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 4 2 -1.</_>
-        <_>
-          10 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          42 0 2 3 -1.</_>
-        <_>
-          42 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 2 -1.</_>
-        <_>
-          3 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          37 2 3 4 -1.</_>
-        <_>
-          37 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 9 4 -1.</_>
-        <_>
-          5 1 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          43 9 2 2 -1.</_>
-        <_>
-          43 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 14 2 -1.</_>
-        <_>
-          14 0 7 1 2.</_>
-        <_>
-          21 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 6 4 2 -1.</_>
-        <_>
-          34 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 8 1 -1.</_>
-        <_>
-          20 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 6 4 4 -1.</_>
-        <_>
-          23 6 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 44 2 -1.</_>
-        <_>
-          0 9 22 1 2.</_>
-        <_>
-          22 10 22 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 32 5 -1.</_>
-        <_>
-          10 0 16 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 32 5 -1.</_>
-        <_>
-          19 0 16 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 3 -1.</_>
-        <_>
-          13 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 0 18 7 -1.</_>
-        <_>
-          19 0 9 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 3 4 -1.</_>
-        <_>
-          9 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 2 2 1 -1.</_>
-        <_>
-          24 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 10 4 -1.</_>
-        <_>
-          5 3 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 26 9 -1.</_>
-        <_>
-          12 0 13 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 6 2 -1.</_>
-        <_>
-          1 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 2 2 1 -1.</_>
-        <_>
-          24 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 9 8 -1.</_>
-        <_>
-          21 3 3 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 5 11 6 -1.</_>
-        <_>
-          26 8 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 22 4 -1.</_>
-        <_>
-          11 5 11 2 2.</_>
-        <_>
-          22 7 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 20 6 -1.</_>
-        <_>
-          24 0 10 3 2.</_>
-        <_>
-          14 3 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 12 3 -1.</_>
-        <_>
-          11 0 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          41 7 4 4 -1.</_>
-        <_>
-          41 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 6 6 -1.</_>
-        <_>
-          3 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          28 0 6 4 -1.</_>
-        <_>
-          30 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 4 -1.</_>
-        <_>
-          12 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          40 2 3 3 -1.</_>
-        <_>
-          39 3 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 11 8 -1.</_>
-        <_>
-          10 3 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 8 2 2 -1.</_>
-        <_>
-          23 8 1 1 2.</_>
-        <_>
-          22 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 3 3 -1.</_>
-        <_>
-          7 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 8 11 -1.</_>
-        <_>
-          19 0 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 22 1 -1.</_>
-        <_>
-          11 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 24 6 -1.</_>
-        <_>
-          24 0 12 3 2.</_>
-        <_>
-          12 3 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 5 4 2 -1.</_>
-        <_>
-          19 5 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          40 3 3 3 -1.</_>
-        <_>
-          39 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 4 6 1 -1.</_>
-        <_>
-          2 4 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          35 3 10 6 -1.</_>
-        <_>
-          35 3 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 6 3 -1.</_>
-        <_>
-          5 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 18 9 -1.</_>
-        <_>
-          24 2 6 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 8 -1.</_>
-        <_>
-          0 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          27 0 2 2 -1.</_>
-        <_>
-          27 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 26 4 -1.</_>
-        <_>
-          7 1 13 2 2.</_>
-        <_>
-          20 3 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 8 9 3 -1.</_>
-        <_>
-          37 8 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 9 3 -1.</_>
-        <_>
-          5 8 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 8 2 2 -1.</_>
-        <_>
-          23 8 1 1 2.</_>
-        <_>
-          22 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 3 -1.</_>
-        <_>
-          6 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          35 3 10 3 -1.</_>
-        <_>
-          35 3 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 2 1 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 3 12 8 -1.</_>
-        <_>
-          24 3 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 10 3 -1.</_>
-        <_>
-          5 3 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 6 9 5 -1.</_>
-        <_>
-          22 6 3 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 6 11 -1.</_>
-        <_>
-          22 0 3 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 3 9 -1.</_>
-        <_>
-          22 3 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 2 -1.</_>
-        <_>
-          12 5 1 1 2.</_>
-        <_>
-          13 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 9 8 2 -1.</_>
-        <_>
-          24 9 4 1 2.</_>
-        <_>
-          20 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          13 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          31 5 3 3 -1.</_>
-        <_>
-          30 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 3 3 -1.</_>
-        <_>
-          8 2 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 1 4 3 -1.</_>
-        <_>
-          34 2 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 5 3 -1.</_>
-        <_>
-          7 2 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 1 1 2 -1.</_>
-        <_>
-          31 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 8 2 2 -1.</_>
-        <_>
-          21 8 1 1 2.</_>
-        <_>
-          22 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 9 10 2 -1.</_>
-        <_>
-          26 10 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 3 -1.</_>
-        <_>
-          11 2 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 0 12 4 -1.</_>
-        <_>
-          21 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 6 -1.</_>
-        <_>
-          12 5 1 3 2.</_>
-        <_>
-          13 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 30 3 -1.</_>
-        <_>
-          12 4 15 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 30 3 -1.</_>
-        <_>
-          19 4 15 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 5 6 6 -1.</_>
-        <_>
-          39 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 6 4 -1.</_>
-        <_>
-          2 3 3 2 2.</_>
-        <_>
-          5 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          25 0 4 1 -1.</_>
-        <_>
-          25 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 12 1 -1.</_>
-        <_>
-          15 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          27 1 2 1 -1.</_>
-        <_>
-          27 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 1 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 18 2 -1.</_>
-        <_>
-          29 0 9 1 2.</_>
-        <_>
-          20 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 8 2 -1.</_>
-        <_>
-          16 9 4 1 2.</_>
-        <_>
-          20 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          35 2 4 5 -1.</_>
-        <_>
-          36 3 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 3 -1.</_>
-        <_>
-          9 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 3 4 3 -1.</_>
-        <_>
-          38 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 8 1 2 -1.</_>
-        <_>
-          14 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          31 7 2 2 -1.</_>
-        <_>
-          31 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 2 -1.</_>
-        <_>
-          14 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          32 0 6 9 -1.</_>
-        <_>
-          34 0 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 3 3 -1.</_>
-        <_>
-          13 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 18 4 -1.</_>
-        <_>
-          23 1 9 2 2.</_>
-        <_>
-          14 3 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 3 -1.</_>
-        <_>
-          9 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 3 4 3 -1.</_>
-        <_>
-          38 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 4 -1.</_>
-        <_>
-          7 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          44 0 1 8 -1.</_>
-        <_>
-          44 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 6 -1.</_>
-        <_>
-          0 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          27 0 2 2 -1.</_>
-        <_>
-          27 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 0 2 2 -1.</_>
-        <_>
-          18 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 3 12 8 -1.</_>
-        <_>
-          24 3 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 5 2 -1.</_>
-        <_>
-          9 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 0 4 3 -1.</_>
-        <_>
-          34 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 6 -1.</_>
-        <_>
-          0 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 2 2 -1.</_>
-        <_>
-          23 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 1 2 -1.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 26 6 -1.</_>
-        <_>
-          23 3 13 3 2.</_>
-        <_>
-          10 6 13 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 11 8 -1.</_>
-        <_>
-          10 2 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          40 2 3 3 -1.</_>
-        <_>
-          39 3 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 20 2 -1.</_>
-        <_>
-          9 0 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 3 12 8 -1.</_>
-        <_>
-          25 3 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 12 8 -1.</_>
-        <_>
-          16 3 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 15 1 -1.</_>
-        <_>
-          20 10 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 3 -1.</_>
-        <_>
-          6 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          35 2 4 3 -1.</_>
-        <_>
-          36 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 2 6 -1.</_>
-        <_>
-          3 3 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 9 10 2 -1.</_>
-        <_>
-          23 9 5 1 2.</_>
-        <_>
-          18 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 8 4 3 -1.</_>
-        <_>
-          37 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 4 8 -1.</_>
-        <_>
-          22 3 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 9 4 2 -1.</_>
-        <_>
-          37 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 9 6 -1.</_>
-        <_>
-          18 5 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          28 0 4 4 -1.</_>
-        <_>
-          29 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 3 3 -1.</_>
-        <_>
-          7 3 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 2 6 1 -1.</_>
-        <_>
-          35 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          6 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          28 0 4 4 -1.</_>
-        <_>
-          29 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 4 -1.</_>
-        <_>
-          14 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 2 6 1 -1.</_>
-        <_>
-          35 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 2 1 6 -1.</_>
-        <_>
-          10 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          35 1 2 3 -1.</_>
-        <_>
-          35 2 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 8 2 2 -1.</_>
-        <_>
-          19 8 1 1 2.</_>
-        <_>
-          20 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          43 6 1 4 -1.</_>
-        <_>
-          43 6 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 4 1 -1.</_>
-        <_>
-          2 6 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 32 3 -1.</_>
-        <_>
-          12 3 16 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          32 5 6 2 -1.</_>
-        <_>
-          34 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 8 7 -1.</_>
-        <_>
-          19 0 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          35 2 4 3 -1.</_>
-        <_>
-          36 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 3 -1.</_>
-        <_>
-          14 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          42 5 2 3 -1.</_>
-        <_>
-          42 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 6 -1.</_>
-        <_>
-          0 1 2 3 2.</_>
-        <_>
-          2 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 21 1 -1.</_>
-        <_>
-          20 0 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 1 6 -1.</_>
-        <_>
-          9 7 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          25 9 11 2 -1.</_>
-        <_>
-          25 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 26 8 -1.</_>
-        <_>
-          9 1 13 4 2.</_>
-        <_>
-          22 5 13 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 5 8 6 -1.</_>
-        <_>
-          21 5 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 12 8 -1.</_>
-        <_>
-          21 3 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 6 1 -1.</_>
-        <_>
-          22 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 12 2 -1.</_>
-        <_>
-          7 0 6 1 2.</_>
-        <_>
-          13 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 9 6 2 -1.</_>
-        <_>
-          35 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 5 -1.</_>
-        <_>
-          13 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          32 1 6 10 -1.</_>
-        <_>
-          34 1 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 6 10 -1.</_>
-        <_>
-          9 1 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          27 0 9 3 -1.</_>
-        <_>
-          30 0 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 3 -1.</_>
-        <_>
-          8 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          41 0 3 2 -1.</_>
-        <_>
-          42 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 5 6 -1.</_>
-        <_>
-          6 2 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          27 0 9 3 -1.</_>
-        <_>
-          30 0 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 3 -1.</_>
-        <_>
-          12 0 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          32 9 6 2 -1.</_>
-        <_>
-          34 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 6 2 -1.</_>
-        <_>
-          9 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 10 6 1 -1.</_>
-        <_>
-          26 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          32 5 3 3 -1.</_>
-        <_>
-          31 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 8 2 -1.</_>
-        <_>
-          16 9 4 1 2.</_>
-        <_>
-          20 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 12 9 -1.</_>
-        <_>
-          22 2 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 3 -1.</_>
-        <_>
-          8 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          43 5 2 4 -1.</_>
-        <_>
-          43 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 3 -1.</_>
-        <_>
-          8 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 16 2 -1.</_>
-        <_>
-          23 4 8 1 2.</_>
-        <_>
-          15 5 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 16 2 -1.</_>
-        <_>
-          16 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 9 9 -1.</_>
-        <_>
-          22 2 3 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 9 2 2 -1.</_>
-        <_>
-          19 9 1 1 2.</_>
-        <_>
-          20 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 8 10 -1.</_>
-        <_>
-          22 1 4 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 39 9 -1.</_>
-        <_>
-          13 5 13 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          32 5 3 3 -1.</_>
-        <_>
-          31 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 2 -1.</_>
-        <_>
-          9 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          32 5 3 3 -1.</_>
-        <_>
-          31 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 3 -1.</_>
-        <_>
-          14 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 2 11 6 -1.</_>
-        <_>
-          24 4 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 4 -1.</_>
-        <_>
-          6 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          39 1 3 9 -1.</_>
-        <_>
-          40 4 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 9 9 -1.</_>
-        <_>
-          20 2 3 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 8 8 2 -1.</_>
-        <_>
-          22 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 7 8 4 -1.</_>
-        <_>
-          20 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 30 6 -1.</_>
-        <_>
-          23 5 15 3 2.</_>
-        <_>
-          8 8 15 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 5 2 -1.</_>
-        <_>
-          0 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 6 1 4 -1.</_>
-        <_>
-          22 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 2 -1.</_>
-        <_>
-          4 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 6 1 -1.</_>
-        <_>
-          23 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 2 7 -1.</_>
-        <_>
-          3 3 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 24 2 -1.</_>
-        <_>
-          30 2 12 1 2.</_>
-        <_>
-          18 3 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 4 -1.</_>
-        <_>
-          0 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 0 3 3 -1.</_>
-        <_>
-          34 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 2 2 -1.</_>
-        <_>
-          17 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          34 0 3 3 -1.</_>
-        <_>
-          34 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 9 2 2 -1.</_>
-        <_>
-          21 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          25 9 2 2 -1.</_>
-        <_>
-          26 9 1 1 2.</_>
-        <_>
-          25 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 9 2 2 -1.</_>
-        <_>
-          18 9 1 1 2.</_>
-        <_>
-          19 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 4 2 2 -1.</_>
-        <_>
-          32 4 1 1 2.</_>
-        <_>
-          31 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 1 4 -1.</_>
-        <_>
-          3 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          31 4 2 2 -1.</_>
-        <_>
-          32 4 1 1 2.</_>
-        <_>
-          31 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 1 2 3 2.</_>
-        <_>
-          11 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 20 7 -1.</_>
-        <_>
-          19 0 10 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 3 -1.</_>
-        <_>
-          5 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 6 4 1 -1.</_>
-        <_>
-          23 6 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 10 -1.</_>
-        <_>
-          0 6 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 44 1 -1.</_>
-        <_>
-          1 10 22 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 4 4 -1.</_>
-        <_>
-          13 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 2 12 5 -1.</_>
-        <_>
-          33 2 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 3 4 -1.</_>
-        <_>
-          13 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          25 9 11 2 -1.</_>
-        <_>
-          25 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 2 1 -1.</_>
-        <_>
-          18 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 2 4 3 -1.</_>
-        <_>
-          33 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 2 3 -1.</_>
-        <_>
-          18 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          35 0 6 6 -1.</_>
-        <_>
-          35 0 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 6 -1.</_>
-        <_>
-          7 0 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 2 2 -1.</_>
-        <_>
-          23 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 2 -1.</_>
-        <_>
-          12 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 9 11 2 -1.</_>
-        <_>
-          24 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 12 1 -1.</_>
-        <_>
-          19 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          29 5 4 2 -1.</_>
-        <_>
-          29 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 9 1 -1.</_>
-        <_>
-          17 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 34 4 -1.</_>
-        <_>
-          23 7 17 2 2.</_>
-        <_>
-          6 9 17 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 36 4 -1.</_>
-        <_>
-          19 2 18 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          29 0 6 4 -1.</_>
-        <_>
-          31 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 2 -1.</_>
-        <_>
-          12 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 2 2 -1.</_>
-        <_>
-          23 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 3 -1.</_>
-        <_>
-          8 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 9 6 2 -1.</_>
-        <_>
-          35 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 5 -1.</_>
-        <_>
-          1 3 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 9 6 2 -1.</_>
-        <_>
-          35 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 16 2 -1.</_>
-        <_>
-          7 0 8 1 2.</_>
-        <_>
-          15 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 16 2 -1.</_>
-        <_>
-          29 1 8 1 2.</_>
-        <_>
-          21 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          29 0 6 4 -1.</_>
-        <_>
-          31 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 6 6 -1.</_>
-        <_>
-          14 4 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 10 6 1 -1.</_>
-        <_>
-          35 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 3 -1.</_>
-        <_>
-          5 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 4 1 4 -1.</_>
-        <_>
-          39 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 1 6 -1.</_>
-        <_>
-          16 4 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          39 4 1 4 -1.</_>
-        <_>
-          39 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 1 3 -1.</_>
-        <_>
-          1 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          25 8 2 2 -1.</_>
-        <_>
-          26 8 1 1 2.</_>
-        <_>
-          25 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 1 4 -1.</_>
-        <_>
-          5 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          42 8 2 3 -1.</_>
-        <_>
-          42 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 2 -1.</_>
-        <_>
-          5 4 1 1 2.</_>
-        <_>
-          6 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          42 2 2 2 -1.</_>
-        <_>
-          42 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 2 -1.</_>
-        <_>
-          3 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          33 9 6 2 -1.</_>
-        <_>
-          35 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 2 -1.</_>
-        <_>
-          8 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          28 3 2 6 -1.</_>
-        <_>
-          28 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 4 8 7 -1.</_>
-        <_>
-          18 4 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 6 8 -1.</_>
-        <_>
-          21 1 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 4 6 4 -1.</_>
-        <_>
-          21 4 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 0 8 3 -1.</_>
-        <_>
-          24 0 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 9 32 2 -1.</_>
-        <_>
-          9 9 16 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          38 2 1 3 -1.</_>
-        <_>
-          38 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 2 -1.</_>
-        <_>
-          16 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          32 2 6 1 -1.</_>
-        <_>
-          34 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 1 -1.</_>
-        <_>
-          1 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          43 9 2 2 -1.</_>
-        <_>
-          43 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 2 -1.</_>
-        <_>
-          7 3 1 1 2.</_>
-        <_>
-          8 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 3 9 -1.</_>
-        <_>
-          22 3 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 5 2 -1.</_>
-        <_>
-          0 9 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          42 8 2 3 -1.</_>
-        <_>
-          42 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 1 4 -1.</_>
-        <_>
-          8 6 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          42 8 2 3 -1.</_>
-        <_>
-          42 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          43 8 1 3 -1.</_>
-        <_>
-          43 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 1 3 -1.</_>
-        <_>
-          1 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 0 6 4 -1.</_>
-        <_>
-          38 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 2 -1.</_>
-        <_>
-          4 0 6 1 2.</_>
-        <_>
-          10 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 4 -1.</_>
-        <_>
-          8 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 0 10 4 -1.</_>
-        <_>
-          34 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 12 4 -1.</_>
-        <_>
-          18 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          39 1 3 9 -1.</_>
-        <_>
-          40 4 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 8 4 -1.</_>
-        <_>
-          6 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 5 3 3 -1.</_>
-        <_>
-          30 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 24 2 -1.</_>
-        <_>
-          12 5 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 5 2 2 -1.</_>
-        <_>
-          24 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 4 -1.</_>
-        <_>
-          15 4 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 26 8 -1.</_>
-        <_>
-          23 1 13 4 2.</_>
-        <_>
-          10 5 13 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 6 -1.</_>
-        <_>
-          0 5 2 3 2.</_>
-        <_>
-          2 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 9 11 2 -1.</_>
-        <_>
-          24 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          10 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          44 3 1 8 -1.</_>
-        <_>
-          44 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 8 -1.</_>
-        <_>
-          0 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 0 6 3 -1.</_>
-        <_>
-          35 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 2 -1.</_>
-        <_>
-          14 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 8 8 2 -1.</_>
-        <_>
-          24 8 4 1 2.</_>
-        <_>
-          20 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 45 9 -1.</_>
-        <_>
-          15 4 15 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 0 6 3 -1.</_>
-        <_>
-          35 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 10 2 -1.</_>
-        <_>
-          16 8 5 1 2.</_>
-        <_>
-          21 9 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 0 4 9 -1.</_>
-        <_>
-          22 0 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 6 1 4 -1.</_>
-        <_>
-          22 6 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 8 2 2 -1.</_>
-        <_>
-          24 8 1 1 2.</_>
-        <_>
-          23 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 8 2 2 -1.</_>
-        <_>
-          20 8 1 1 2.</_>
-        <_>
-          21 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          37 4 4 2 -1.</_>
-        <_>
-          39 4 2 1 2.</_>
-        <_>
-          37 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 3 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          29 1 3 2 -1.</_>
-        <_>
-          29 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 10 2 -1.</_>
-        <_>
-          0 3 5 1 2.</_>
-        <_>
-          5 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 0 6 4 -1.</_>
-        <_>
-          38 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 6 -1.</_>
-        <_>
-          0 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 10 6 1 -1.</_>
-        <_>
-          38 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 6 1 -1.</_>
-        <_>
-          5 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 7 2 2 -1.</_>
-        <_>
-          34 7 1 1 2.</_>
-        <_>
-          33 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 4 -1.</_>
-        <_>
-          5 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 0 6 3 -1.</_>
-        <_>
-          38 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          10 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 0 6 3 -1.</_>
-        <_>
-          38 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 3 -1.</_>
-        <_>
-          5 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 0 8 2 -1.</_>
-        <_>
-          33 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 4 2 -1.</_>
-        <_>
-          5 6 2 1 2.</_>
-        <_>
-          7 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          31 0 10 2 -1.</_>
-        <_>
-          31 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 18 6 -1.</_>
-        <_>
-          13 0 9 3 2.</_>
-        <_>
-          22 3 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 0 1 2 -1.</_>
-        <_>
-          26 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          15 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          41 0 4 4 -1.</_>
-        <_>
-          40 1 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 4 -1.</_>
-        <_>
-          5 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          25 9 11 2 -1.</_>
-        <_>
-          25 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 11 2 -1.</_>
-        <_>
-          9 10 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 1 2 2 -1.</_>
-        <_>
-          25 1 1 1 2.</_>
-        <_>
-          24 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 44 6 -1.</_>
-        <_>
-          0 0 22 3 2.</_>
-        <_>
-          22 3 22 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 8 11 -1.</_>
-        <_>
-          20 0 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 8 7 -1.</_>
-        <_>
-          19 4 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 7 4 3 -1.</_>
-        <_>
-          34 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 3 -1.</_>
-        <_>
-          7 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          29 0 3 7 -1.</_>
-        <_>
-          30 0 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 7 -1.</_>
-        <_>
-          14 0 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 18 4 -1.</_>
-        <_>
-          23 6 9 2 2.</_>
-        <_>
-          14 8 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 1 -1.</_>
-        <_>
-          10 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 8 6 3 -1.</_>
-        <_>
-          25 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 6 5 -1.</_>
-        <_>
-          20 3 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 10 1 -1.</_>
-        <_>
-          23 0 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 0 2 11 -1.</_>
-        <_>
-          22 0 1 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 7 9 3 -1.</_>
-        <_>
-          25 7 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 9 3 -1.</_>
-        <_>
-          17 7 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 6 2 -1.</_>
-        <_>
-          22 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 6 2 -1.</_>
-        <_>
-          21 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 10 1 -1.</_>
-        <_>
-          23 0 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          22 0 1 10 -1.</_>
-        <_>
-          22 0 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          22 1 4 1 -1.</_>
-        <_>
-          23 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 5 3 -1.</_>
-        <_>
-          7 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 1 4 1 -1.</_>
-        <_>
-          23 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 6 1 -1.</_>
-        <_>
-          20 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 16 2 -1.</_>
-        <_>
-          29 0 8 1 2.</_>
-        <_>
-          21 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          33 1 6 3 -1.</_>
-        <_>
-          33 2 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 4 2 -1.</_>
-        <_>
-          16 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 4 -1.</_>
-        <_>
-          14 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          36 0 8 4 -1.</_>
-        <_>
-          36 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 18 7 -1.</_>
-        <_>
-          16 0 9 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          38 2 6 1 -1.</_>
-        <_>
-          40 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 4 6 -1.</_>
-        <_>
-          3 5 2 3 2.</_>
-        <_>
-          5 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 8 2 1 -1.</_>
-        <_>
-          24 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 10 12 1 -1.</_>
-        <_>
-          16 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 0 10 4 -1.</_>
-        <_>
-          34 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 4 -1.</_>
-        <_>
-          1 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 2 2 -1.</_>
-        <_>
-          23 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 1 2 -1.</_>
-        <_>
-          4 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 0 6 3 -1.</_>
-        <_>
-          35 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 7 3 -1.</_>
-        <_>
-          6 1 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          27 0 12 2 -1.</_>
-        <_>
-          30 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          8 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 2 2 -1.</_>
-        <_>
-          23 9 1 1 2.</_>
-        <_>
-          22 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 34 2 -1.</_>
-        <_>
-          20 4 17 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 5 6 6 -1.</_>
-        <_>
-          25 5 3 3 2.</_>
-        <_>
-          22 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 20 4 -1.</_>
-        <_>
-          12 4 10 2 2.</_>
-        <_>
-          22 6 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          37 2 2 3 -1.</_>
-        <_>
-          37 3 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 9 3 -1.</_>
-        <_>
-          5 3 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          27 0 12 1 -1.</_>
-        <_>
-          30 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 1 -1.</_>
-        <_>
-          9 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 0 6 3 -1.</_>
-        <_>
-          32 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 4 -1.</_>
-        <_>
-          10 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 3 3 3 -1.</_>
-        <_>
-          33 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 4 -1.</_>
-        <_>
-          12 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 9 6 2 -1.</_>
-        <_>
-          38 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 6 2 -1.</_>
-        <_>
-          5 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          34 3 3 3 -1.</_>
-        <_>
-          33 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 10 12 1 -1.</_>
-        <_>
-          19 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 1 10 -1.</_>
-        <_>
-          23 0 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 5 32 4 -1.</_>
-        <_>
-          9 5 16 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 6 10 -1.</_>
-        <_>
-          20 1 3 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 44 5 -1.</_>
-        <_>
-          22 6 22 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 10 6 1 -1.</_>
-        <_>
-          35 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 4 -1.</_>
-        <_>
-          6 3 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 3 4 2 -1.</_>
-        <_>
-          32 3 2 1 2.</_>
-        <_>
-          30 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          3 1 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          33 10 6 1 -1.</_>
-        <_>
-          35 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 1 -1.</_>
-        <_>
-          8 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          28 5 4 3 -1.</_>
-        <_>
-          29 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 4 3 -1.</_>
-        <_>
-          14 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          25 8 2 2 -1.</_>
-        <_>
-          26 8 1 1 2.</_>
-        <_>
-          25 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 3 -1.</_>
-        <_>
-          12 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          28 0 2 3 -1.</_>
-        <_>
-          27 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 3 -1.</_>
-        <_>
-          5 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          43 3 2 6 -1.</_>
-        <_>
-          43 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 6 -1.</_>
-        <_>
-          0 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          28 6 2 1 -1.</_>
-        <_>
-          28 6 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 7 9 4 -1.</_>
-        <_>
-          20 7 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 1 2 2 -1.</_>
-        <_>
-          25 1 1 1 2.</_>
-        <_>
-          24 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 6 3 -1.</_>
-        <_>
-          18 2 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          38 4 4 2 -1.</_>
-        <_>
-          40 4 2 1 2.</_>
-        <_>
-          38 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 16 2 -1.</_>
-        <_>
-          14 3 8 1 2.</_>
-        <_>
-          22 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          38 4 4 2 -1.</_>
-        <_>
-          40 4 2 1 2.</_>
-        <_>
-          38 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 9 -1.</_>
-        <_>
-          13 3 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          33 0 6 3 -1.</_>
-        <_>
-          33 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          16 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          31 2 3 3 -1.</_>
-        <_>
-          32 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 3 -1.</_>
-        <_>
-          13 3 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 9 2 2 -1.</_>
-        <_>
-          24 9 1 1 2.</_>
-        <_>
-          23 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 9 2 2 -1.</_>
-        <_>
-          20 9 1 1 2.</_>
-        <_>
-          21 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          25 8 2 2 -1.</_>
-        <_>
-          26 8 1 1 2.</_>
-        <_>
-          25 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 8 2 2 -1.</_>
-        <_>
-          18 8 1 1 2.</_>
-        <_>
-          19 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 12 2 -1.</_>
-        <_>
-          20 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 18 11 -1.</_>
-        <_>
-          14 0 6 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 1 2 2 -1.</_>
-        <_>
-          25 1 1 1 2.</_>
-        <_>
-          24 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 2 2 -1.</_>
-        <_>
-          19 1 1 1 2.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          30 8 6 3 -1.</_>
-        <_>
-          32 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 2 2 -1.</_>
-        <_>
-          19 3 1 1 2.</_>
-        <_>
-          20 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          26 1 10 2 -1.</_>
-        <_>
-          31 1 5 1 2.</_>
-        <_>
-          26 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 6 3 -1.</_>
-        <_>
-          11 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 1 5 6 -1.</_>
-        <_>
-          36 3 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 5 6 -1.</_>
-        <_>
-          4 3 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          36 9 8 1 -1.</_>
-        <_>
-          36 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 6 2 -1.</_>
-        <_>
-          3 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          39 3 4 8 -1.</_>
-        <_>
-          39 3 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 4 8 -1.</_>
-        <_>
-          4 3 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 7 2 2 -1.</_>
-        <_>
-          23 7 1 1 2.</_>
-        <_>
-          22 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 38 6 -1.</_>
-        <_>
-          0 5 19 3 2.</_>
-        <_>
-          19 8 19 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          43 0 2 4 -1.</_>
-        <_>
-          43 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 6 16 4 -1.</_>
-        <_>
-          14 6 8 2 2.</_>
-        <_>
-          22 8 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          43 0 2 4 -1.</_>
-        <_>
-          43 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 4 -1.</_>
-        <_>
-          13 4 1 4 3.</_></rects></_></features></cascade>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_eyepair_small.xml b/data/haarcascades/haarcascade_mcs_eyepair_small.xml
deleted file mode 100644
index 6e22b44ea0..0000000000
--- a/data/haarcascades/haarcascade_mcs_eyepair_small.xml
+++ /dev/null
@@ -1,10091 +0,0 @@
-<?xml version="1.0"?>
-<!--
-22x5 Eye pair detector computed with 7000 positive samples
-2006-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 – Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 – Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@ARTICLE{Castrillon11-mva,
-					  author = {Modesto Castrill\'on and Oscar D\'eniz and Daniel Hern\'andez and Javier Lorenzo},
-					  title = {A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework},
-					  journal = {Machine Vision and Applications},
-					  year = {2011},
-					  volume = {22},
-					  pages = {481-494},
-					  number = {3},
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
-  <featureType>HAAR</featureType>
-  <height>22</height>
-  <width>5</width>
-  <stageParams>
-    <maxWeakCount>133</maxWeakCount></stageParams>
-  <featureParams>
-    <maxCatCount>0</maxCatCount></featureParams>
-  <stageNum>17</stageNum>
-  <stages>
-    <_>
-      <maxWeakCount>7</maxWeakCount>
-      <stageThreshold>-1.7232350111007690e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 0 2.5266629457473755e-01</internalNodes>
-          <leafValues>
-            -7.7110642194747925e-01 8.0833798646926880e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1 5.6097120977938175e-03</internalNodes>
-          <leafValues>
-            -7.3824870586395264e-01 3.8851681351661682e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2 1.5298590064048767e-01</internalNodes>
-          <leafValues>
-            -5.5244392156600952e-01 6.4289671182632446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3 -4.1561521589756012e-02</internalNodes>
-          <leafValues>
-            4.6287709474563599e-01 -5.3415888547897339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 4 4.0643951296806335e-01</internalNodes>
-          <leafValues>
-            1.7092859372496605e-02 -4.6732509765625000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 5 2.9633469879627228e-02</internalNodes>
-          <leafValues>
-            -4.4348448514938354e-01 5.0703012943267822e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 6 1.0285720054525882e-04</internalNodes>
-          <leafValues>
-            -6.6466391086578369e-01 3.0207848548889160e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>7</maxWeakCount>
-      <stageThreshold>-1.4015640020370483e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 7 3.3425179123878479e-01</internalNodes>
-          <leafValues>
-            -6.5658462047576904e-01 7.2224652767181396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 8 3.4681979566812515e-02</internalNodes>
-          <leafValues>
-            -6.5526360273361206e-01 5.4633998870849609e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 9 -5.3489811718463898e-02</internalNodes>
-          <leafValues>
-            4.9894320964813232e-01 -5.0774151086807251e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 10 1.0272119939327240e-01</internalNodes>
-          <leafValues>
-            -2.8445309400558472e-01 4.0494489669799805e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 11 1.4077969535719603e-04</internalNodes>
-          <leafValues>
-            -7.9020249843597412e-01 3.4440949559211731e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 12 2.3227030038833618e-01</internalNodes>
-          <leafValues>
-            -1.3018049299716949e-01 4.3139758706092834e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 13 8.0413393676280975e-02</internalNodes>
-          <leafValues>
-            -4.6376779675483704e-01 4.8824951052665710e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>14</maxWeakCount>
-      <stageThreshold>-1.9015949964523315e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 14 3.5276851058006287e-01</internalNodes>
-          <leafValues>
-            -6.3080090284347534e-01 6.5199118852615356e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 15 7.3224060237407684e-02</internalNodes>
-          <leafValues>
-            -5.9558337926864624e-01 4.8831069469451904e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 16 -2.2634120658040047e-02</internalNodes>
-          <leafValues>
-            4.1987290978431702e-01 -5.6545442342758179e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 17 2.2298170626163483e-01</internalNodes>
-          <leafValues>
-            -3.1860861182212830e-01 4.8772248625755310e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 18 1.8357429653406143e-02</internalNodes>
-          <leafValues>
-            -4.0862768888473511e-01 3.9951491355895996e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 19 1.2711199815385044e-04</internalNodes>
-          <leafValues>
-            -4.7230800986289978e-01 2.0521849393844604e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 20 1.0834160260856152e-02</internalNodes>
-          <leafValues>
-            1.3318300247192383e-01 -7.7914947271347046e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 21 -7.9301595687866211e-03</internalNodes>
-          <leafValues>
-            -5.9789812564849854e-01 4.9372468143701553e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 22 2.9459610581398010e-01</internalNodes>
-          <leafValues>
-            -9.9943317472934723e-03 -3.9346069335937500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 23 2.3979870602488518e-02</internalNodes>
-          <leafValues>
-            6.5359488129615784e-02 -5.0484991073608398e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 24 1.0285720054525882e-04</internalNodes>
-          <leafValues>
-            -6.2231910228729248e-01 1.3749890029430389e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 25 1.3282659649848938e-01</internalNodes>
-          <leafValues>
-            -3.4161621332168579e-01 2.7172261476516724e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 26 -3.7376780062913895e-02</internalNodes>
-          <leafValues>
-            -7.4671339988708496e-01 1.1474339663982391e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 27 7.3414398357272148e-03</internalNodes>
-          <leafValues>
-            -3.4962359070777893e-01 1.2929069995880127e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>21</maxWeakCount>
-      <stageThreshold>-1.8471280336380005e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 28 3.5913649201393127e-01</internalNodes>
-          <leafValues>
-            -5.8520388603210449e-01 5.8315628767013550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 29 -9.2016262933611870e-03</internalNodes>
-          <leafValues>
-            2.3378680646419525e-01 -5.2131319046020508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 30 -1.5467359684407711e-02</internalNodes>
-          <leafValues>
-            3.3575141429901123e-01 -5.4084789752960205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 31 1.5523830056190491e-01</internalNodes>
-          <leafValues>
-            -4.6488308906555176e-01 4.3957579135894775e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 32 -1.0378899984061718e-02</internalNodes>
-          <leafValues>
-            2.2855420410633087e-01 -4.7472599148750305e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 33 -7.5254109688103199e-03</internalNodes>
-          <leafValues>
-            3.0168649554252625e-01 -2.8491249680519104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 34 -1.2629480625037104e-04</internalNodes>
-          <leafValues>
-            2.2317290306091309e-01 -3.9811360836029053e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 35 1.2507449719123542e-04</internalNodes>
-          <leafValues>
-            -3.6723288893699646e-01 1.3852049410343170e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 36 -9.0782120823860168e-03</internalNodes>
-          <leafValues>
-            -6.8277508020401001e-01 1.0983029752969742e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 37 -4.9800768494606018e-02</internalNodes>
-          <leafValues>
-            -7.1183747053146362e-01 9.5877766609191895e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 38 1.0729680210351944e-01</internalNodes>
-          <leafValues>
-            -1.9828429445624352e-02 -2.6988120117187500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 39 -2.9545628931373358e-03</internalNodes>
-          <leafValues>
-            -5.9663408994674683e-01 1.4378489553928375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 40 1.2507449719123542e-04</internalNodes>
-          <leafValues>
-            -4.2198759317398071e-01 1.2654370069503784e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 41 5.0712730735540390e-02</internalNodes>
-          <leafValues>
-            3.6825660616159439e-02 -7.2819608449935913e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 42 1.4936710067559034e-04</internalNodes>
-          <leafValues>
-            -5.3859847784042358e-01 1.2984189391136169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 43 2.4373650550842285e-01</internalNodes>
-          <leafValues>
-            5.6961510330438614e-02 -7.1023291349411011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 44 -6.0015019029378891e-02</internalNodes>
-          <leafValues>
-            2.4694560468196869e-01 -2.5020390748977661e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 45 8.7412662804126740e-02</internalNodes>
-          <leafValues>
-            5.8552309870719910e-02 -2.8725269436836243e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 46 -9.0919047594070435e-02</internalNodes>
-          <leafValues>
-            -6.8815648555755615e-01 8.8074482977390289e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 47 1.4819550514221191e-01</internalNodes>
-          <leafValues>
-            -8.3346709609031677e-02 5.1286262273788452e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 48 2.1776199340820312e-01</internalNodes>
-          <leafValues>
-            -1.1302039772272110e-01 4.8981839418411255e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>23</maxWeakCount>
-      <stageThreshold>-1.7498610019683838e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 49 2.4087640643119812e-01</internalNodes>
-          <leafValues>
-            -5.4511332511901855e-01 4.9997121095657349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 50 9.1455027461051941e-02</internalNodes>
-          <leafValues>
-            -5.4530072212219238e-01 3.6511918902397156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 51 6.2960892915725708e-02</internalNodes>
-          <leafValues>
-            -4.5040848851203918e-01 3.1278419494628906e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 52 -4.4865939766168594e-02</internalNodes>
-          <leafValues>
-            3.8191598653793335e-01 -4.0314820408821106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 53 -1.3774819672107697e-02</internalNodes>
-          <leafValues>
-            2.5567761063575745e-01 -5.2795022726058960e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 54 3.0930969864130020e-02</internalNodes>
-          <leafValues>
-            -3.2184159755706787e-01 3.2615759968757629e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 55 2.8891479596495628e-03</internalNodes>
-          <leafValues>
-            -5.8948808908462524e-01 1.3433440029621124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 56 8.0474298447370529e-03</internalNodes>
-          <leafValues>
-            1.3132849335670471e-01 -6.8602150678634644e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 57 9.5555791631340981e-03</internalNodes>
-          <leafValues>
-            9.8187282681465149e-02 -6.7927527427673340e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 58 -3.1676879152655602e-03</internalNodes>
-          <leafValues>
-            1.1390289664268494e-01 -2.3203469812870026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 59 -1.6496120020747185e-02</internalNodes>
-          <leafValues>
-            2.5697690248489380e-01 -2.6603409647941589e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 60 -9.6434041857719421e-02</internalNodes>
-          <leafValues>
-            -6.8036687374114990e-01 2.6103440672159195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 61 -1.0129880160093307e-02</internalNodes>
-          <leafValues>
-            2.6537680625915527e-01 -2.8654828667640686e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 62 3.5491649759933352e-04</internalNodes>
-          <leafValues>
-            -4.5001238584518433e-01 1.5570540726184845e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 63 -1.0879360139369965e-02</internalNodes>
-          <leafValues>
-            2.8526028990745544e-01 -2.2041590511798859e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 64 -1.3320960104465485e-02</internalNodes>
-          <leafValues>
-            -6.2863361835479736e-01 7.5602389872074127e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 65 9.1701131314039230e-03</internalNodes>
-          <leafValues>
-            1.0672529786825180e-01 -5.6462252140045166e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 66 -1.7562079429626465e-01</internalNodes>
-          <leafValues>
-            6.0234647989273071e-01 -1.1059260368347168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 67 3.4105561673641205e-02</internalNodes>
-          <leafValues>
-            1.3363470137119293e-01 -4.9567678570747375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 68 -6.4384371042251587e-02</internalNodes>
-          <leafValues>
-            -5.8806449174880981e-01 3.2023940235376358e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 69 -4.6032480895519257e-02</internalNodes>
-          <leafValues>
-            -6.1432898044586182e-01 9.9403113126754761e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 70 -3.8402248173952103e-02</internalNodes>
-          <leafValues>
-            1.6040940582752228e-01 -1.8730519711971283e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 71 -4.7098070383071899e-01</internalNodes>
-          <leafValues>
-            -8.1419098377227783e-01 6.2802910804748535e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>26</maxWeakCount>
-      <stageThreshold>-1.6923429965972900e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 72 4.0789580345153809e-01</internalNodes>
-          <leafValues>
-            -2.1667710097972304e-04 4.0943940429687500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 73 2.2189030051231384e-01</internalNodes>
-          <leafValues>
-            -5.7190257310867310e-01 3.1764110922813416e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 74 -6.7908123135566711e-02</internalNodes>
-          <leafValues>
-            4.2148721218109131e-01 -4.6982499957084656e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 75 8.1082796677947044e-03</internalNodes>
-          <leafValues>
-            1.2259560078382492e-01 -4.1368159651756287e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 76 1.7519680783152580e-02</internalNodes>
-          <leafValues>
-            -3.8625329732894897e-01 3.0897051095962524e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 77 8.1193387508392334e-02</internalNodes>
-          <leafValues>
-            -6.3750207424163818e-01 3.8393190503120422e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 78 1.4751380681991577e-01</internalNodes>
-          <leafValues>
-            -4.6316000819206238e-01 2.4519099295139313e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 79 -4.6391459181904793e-03</internalNodes>
-          <leafValues>
-            2.8011339902877808e-01 -3.1145840883255005e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 80 -2.5532179279252887e-04</internalNodes>
-          <leafValues>
-            2.1388280391693115e-01 -4.4669920206069946e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 81 3.5182538628578186e-01</internalNodes>
-          <leafValues>
-            2.3929810151457787e-02 -8.2447677850723267e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 82 7.2416856884956360e-02</internalNodes>
-          <leafValues>
-            -3.8994240760803223e-01 1.8486149609088898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 83 -1.2314420193433762e-02</internalNodes>
-          <leafValues>
-            1.1694400012493134e-01 -1.6245290637016296e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 84 4.2064491659402847e-02</internalNodes>
-          <leafValues>
-            1.0999520123004913e-01 -7.1583980321884155e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 85 1.4708960056304932e-01</internalNodes>
-          <leafValues>
-            6.4720317721366882e-02 -7.2780632972717285e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 86 -8.5739437490701675e-03</internalNodes>
-          <leafValues>
-            -6.5120697021484375e-01 6.4630962908267975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 87 2.4884249432943761e-04</internalNodes>
-          <leafValues>
-            -3.8540419936180115e-01 1.0373640060424805e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 88 3.0264389351941645e-04</internalNodes>
-          <leafValues>
-            -3.5174098610877991e-01 1.3352109491825104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 89 -3.9636630564928055e-02</internalNodes>
-          <leafValues>
-            3.2420659065246582e-01 -1.9590090215206146e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 90 3.9922460913658142e-02</internalNodes>
-          <leafValues>
-            -1.1895609647035599e-01 4.4634771347045898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 91 -1.4249280095100403e-01</internalNodes>
-          <leafValues>
-            5.6414389610290527e-01 -6.4507760107517242e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 92 3.6157241463661194e-01</internalNodes>
-          <leafValues>
-            -1.6855439543724060e-01 3.4748959541320801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 93 4.0057301521301270e-02</internalNodes>
-          <leafValues>
-            5.9359360486268997e-02 -5.1402068138122559e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 94 3.2065549748949707e-04</internalNodes>
-          <leafValues>
-            -5.2019292116165161e-01 1.0447859764099121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 95 7.5918599963188171e-02</internalNodes>
-          <leafValues>
-            5.9021171182394028e-02 -6.0396432876586914e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 96 8.8088903576135635e-03</internalNodes>
-          <leafValues>
-            -3.0517879128456116e-01 1.9598659873008728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 97 -1.1505999602377415e-02</internalNodes>
-          <leafValues>
-            -6.9035482406616211e-01 9.5966316759586334e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>30</maxWeakCount>
-      <stageThreshold>-1.6187490224838257e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 98 8.9942701160907745e-02</internalNodes>
-          <leafValues>
-            -5.5803191661834717e-01 3.1510511040687561e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 99 1.4116680622100830e-01</internalNodes>
-          <leafValues>
-            -3.5455980896949768e-01 3.4234490990638733e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 100 -4.9074299633502960e-02</internalNodes>
-          <leafValues>
-            2.8429248929023743e-01 -4.7629681229591370e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 101 8.8981233537197113e-02</internalNodes>
-          <leafValues>
-            2.1262410283088684e-01 -5.9201169013977051e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 102 4.5736131072044373e-01</internalNodes>
-          <leafValues>
-            -3.4110060334205627e-01 3.1832331418991089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 103 -2.0847789710387588e-04</internalNodes>
-          <leafValues>
-            9.2047147452831268e-02 -1.9282439351081848e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 104 -2.5638268562033772e-04</internalNodes>
-          <leafValues>
-            1.8027019500732422e-01 -5.0077557563781738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 105 -4.3627548962831497e-02</internalNodes>
-          <leafValues>
-            -7.0934057235717773e-01 2.6141040027141571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 106 -1.2148039968451485e-04</internalNodes>
-          <leafValues>
-            1.7804700136184692e-01 -3.8742861151695251e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 107 6.6614202223718166e-03</internalNodes>
-          <leafValues>
-            9.5236569643020630e-02 -6.4199751615524292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 108 1.0133580304682255e-02</internalNodes>
-          <leafValues>
-            4.5362278819084167e-02 -7.3915910720825195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 109 -7.4527491815388203e-03</internalNodes>
-          <leafValues>
-            3.4663969278335571e-01 -4.1097310185432434e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 110 1.8654769659042358e-01</internalNodes>
-          <leafValues>
-            4.6516291797161102e-02 -7.6239591836929321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 111 3.4887841343879700e-01</internalNodes>
-          <leafValues>
-            4.4766940176486969e-02 -3.7297439575195312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 112 9.0129990130662918e-03</internalNodes>
-          <leafValues>
-            9.2422701418399811e-02 -5.6183439493179321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 113 -7.8636936843395233e-02</internalNodes>
-          <leafValues>
-            4.5786789059638977e-01 -1.6657710075378418e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 114 1.2116239964962006e-01</internalNodes>
-          <leafValues>
-            -8.3181731402873993e-02 5.2312797307968140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 115 1.8915069522336125e-03</internalNodes>
-          <leafValues>
-            -4.3309900164604187e-01 1.2311600148677826e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 116 3.4766089171171188e-02</internalNodes>
-          <leafValues>
-            -3.8780850172042847e-01 1.3191400468349457e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 117 5.2351798862218857e-02</internalNodes>
-          <leafValues>
-            -7.4684523046016693e-02 4.7566229104995728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 118 -3.0340079218149185e-02</internalNodes>
-          <leafValues>
-            1.9884179532527924e-01 -2.3101469874382019e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 119 6.8641840480268002e-03</internalNodes>
-          <leafValues>
-            -8.9482538402080536e-02 2.9374399781227112e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 120 -7.1418210864067078e-02</internalNodes>
-          <leafValues>
-            -5.8315718173980713e-01 8.2432016730308533e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 121 -8.4603831171989441e-02</internalNodes>
-          <leafValues>
-            -7.1703827381134033e-01 4.6565640717744827e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 122 -5.9493448585271835e-02</internalNodes>
-          <leafValues>
-            3.4731200337409973e-01 -1.1965610086917877e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 123 1.0994940251111984e-01</internalNodes>
-          <leafValues>
-            -7.9890703782439232e-03 3.4111711382865906e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 124 4.9111388623714447e-02</internalNodes>
-          <leafValues>
-            -1.0241589695215225e-01 4.6818280220031738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 125 3.6367809772491455e-01</internalNodes>
-          <leafValues>
-            -8.3159081637859344e-02 3.7145859003067017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 126 -1.5865339338779449e-01</internalNodes>
-          <leafValues>
-            5.0474298000335693e-01 -8.3462662994861603e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 127 -2.5151360780000687e-02</internalNodes>
-          <leafValues>
-            -4.5326530933380127e-01 7.8059017658233643e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>33</maxWeakCount>
-      <stageThreshold>-1.6774560213088989e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 128 1.6495940089225769e-01</internalNodes>
-          <leafValues>
-            -6.3327008485794067e-01 2.1666599810123444e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 129 -4.3875761330127716e-02</internalNodes>
-          <leafValues>
-            3.2398268580436707e-01 -5.3654092550277710e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 130 9.6001587808132172e-03</internalNodes>
-          <leafValues>
-            -5.3273487091064453e-01 1.8380840122699738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 131 7.8705519437789917e-02</internalNodes>
-          <leafValues>
-            -3.8046509027481079e-01 8.5777603089809418e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 132 -9.9123762920498848e-03</internalNodes>
-          <leafValues>
-            3.0974680185317993e-01 -3.0242699384689331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 133 2.1423709392547607e-01</internalNodes>
-          <leafValues>
-            -1.3076549768447876e-01 1.5465900301933289e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 134 3.8553290069103241e-02</internalNodes>
-          <leafValues>
-            -4.1129979491233826e-01 2.2162139415740967e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 135 2.4947660858742893e-04</internalNodes>
-          <leafValues>
-            -3.9588528871536255e-01 1.8671679496765137e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 136 -2.3194089590106159e-04</internalNodes>
-          <leafValues>
-            2.2963899374008179e-01 -2.8851020336151123e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 137 1.0282140225172043e-02</internalNodes>
-          <leafValues>
-            7.1141071617603302e-02 -7.4978381395339966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 138 1.9899800419807434e-02</internalNodes>
-          <leafValues>
-            -3.7339100241661072e-01 1.4279870688915253e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 139 9.1035827994346619e-02</internalNodes>
-          <leafValues>
-            7.0756226778030396e-02 -6.6389507055282593e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 140 3.9384838193655014e-02</internalNodes>
-          <leafValues>
-            -2.2626769542694092e-01 2.4647849798202515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 141 1.0999630205333233e-02</internalNodes>
-          <leafValues>
-            -2.6254078745841980e-01 1.1630869656801224e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 142 -5.1808681339025497e-02</internalNodes>
-          <leafValues>
-            -5.9614032506942749e-01 8.5982881486415863e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 143 -7.3788218200206757e-02</internalNodes>
-          <leafValues>
-            2.5938460230827332e-01 -1.0419789701700211e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 144 4.6990741044282913e-02</internalNodes>
-          <leafValues>
-            -1.3505549728870392e-01 4.3088319897651672e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 145 -9.7187450155615807e-03</internalNodes>
-          <leafValues>
-            -6.8422812223434448e-01 1.0987590253353119e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 146 -3.5397530882619321e-04</internalNodes>
-          <leafValues>
-            1.4434379339218140e-01 -3.2492259144783020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 147 1.4243640005588531e-02</internalNodes>
-          <leafValues>
-            2.5580020621418953e-02 -7.0051062107086182e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 148 -1.3059009611606598e-01</internalNodes>
-          <leafValues>
-            4.8231971263885498e-01 -9.7855798900127411e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 149 -1.7721720039844513e-02</internalNodes>
-          <leafValues>
-            -7.6230561733245850e-01 3.1668808311223984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 150 -9.2830806970596313e-03</internalNodes>
-          <leafValues>
-            -5.6193757057189941e-01 7.6575733721256256e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 151 2.4865049635991454e-04</internalNodes>
-          <leafValues>
-            -4.1249978542327881e-01 1.3300099968910217e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 152 -1.4796050265431404e-02</internalNodes>
-          <leafValues>
-            -6.9817942380905151e-01 5.2536390721797943e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 153 1.4459720253944397e-01</internalNodes>
-          <leafValues>
-            8.0330166965723038e-03 -8.6757528781890869e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 154 1.5795610845088959e-02</internalNodes>
-          <leafValues>
-            -2.9273110628128052e-01 1.3636249303817749e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 155 1.3104810379445553e-02</internalNodes>
-          <leafValues>
-            -2.2310920059680939e-01 5.7727438211441040e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 156 2.2301739454269409e-01</internalNodes>
-          <leafValues>
-            -9.3301281332969666e-02 4.9452948570251465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 157 -4.9664869904518127e-02</internalNodes>
-          <leafValues>
-            -5.1878559589385986e-01 3.4580491483211517e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 158 -4.5947611331939697e-02</internalNodes>
-          <leafValues>
-            -6.5967637300491333e-01 5.8844711631536484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 159 -1.0404409840703011e-02</internalNodes>
-          <leafValues>
-            2.6226308941841125e-01 -1.8617649376392365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 160 2.9125370085239410e-02</internalNodes>
-          <leafValues>
-            -1.8833640217781067e-01 2.1089859306812286e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>43</maxWeakCount>
-      <stageThreshold>-1.5980160236358643e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 161 -2.7601189911365509e-02</internalNodes>
-          <leafValues>
-            2.8599020838737488e-01 -4.1096940636634827e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 162 3.7857651710510254e-02</internalNodes>
-          <leafValues>
-            -4.5894971489906311e-01 1.3157080113887787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 163 8.7851449847221375e-02</internalNodes>
-          <leafValues>
-            -4.6392178535461426e-01 2.6767331361770630e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 164 -6.6995318047702312e-03</internalNodes>
-          <leafValues>
-            3.4441629052162170e-01 -3.5756340622901917e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 165 -2.1192200074438006e-04</internalNodes>
-          <leafValues>
-            2.8535151481628418e-01 -2.5099050998687744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 166 7.3331758379936218e-02</internalNodes>
-          <leafValues>
-            -5.1049250364303589e-01 2.0841999351978302e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 167 7.0513516664505005e-02</internalNodes>
-          <leafValues>
-            -2.9435500502586365e-01 2.4908310174942017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 168 2.4877820396795869e-04</internalNodes>
-          <leafValues>
-            -4.5301368832588196e-01 1.1060699820518494e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 169 -3.4712569322437048e-03</internalNodes>
-          <leafValues>
-            2.8186500072479248e-01 -2.2025389969348907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 170 2.4717900669202209e-04</internalNodes>
-          <leafValues>
-            -2.4565899372100830e-01 8.6443759500980377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 171 1.2986420188099146e-04</internalNodes>
-          <leafValues>
-            -3.5027301311492920e-01 1.4678439497947693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 172 6.9045290350914001e-02</internalNodes>
-          <leafValues>
-            3.0464420095086098e-02 -6.0509628057479858e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 173 2.7935361140407622e-04</internalNodes>
-          <leafValues>
-            -6.0390001535415649e-01 8.6118496954441071e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 174 -1.4282229542732239e-01</internalNodes>
-          <leafValues>
-            -5.7246452569961548e-01 7.2643920779228210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 175 -3.6195218563079834e-02</internalNodes>
-          <leafValues>
-            1.4508500695228577e-01 -2.9879340529441833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 176 -3.0662279576063156e-02</internalNodes>
-          <leafValues>
-            2.2187960147857666e-01 -1.6560579836368561e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 177 4.1992411017417908e-02</internalNodes>
-          <leafValues>
-            -1.0774009674787521e-01 4.8182308673858643e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 178 -7.9941511154174805e-02</internalNodes>
-          <leafValues>
-            -4.7171419858932495e-01 3.7495650351047516e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 179 -6.4027868211269379e-02</internalNodes>
-          <leafValues>
-            -6.4578139781951904e-01 7.0583656430244446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 180 -2.1864910377189517e-04</internalNodes>
-          <leafValues>
-            1.4576619863510132e-01 -2.6793161034584045e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 181 -1.4113999903202057e-02</internalNodes>
-          <leafValues>
-            -7.7310252189636230e-01 4.3031539767980576e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 182 -2.7583390474319458e-02</internalNodes>
-          <leafValues>
-            -4.6052241325378418e-01 1.2541879899799824e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 183 3.2080090045928955e-01</internalNodes>
-          <leafValues>
-            3.8655929267406464e-02 -8.0620688199996948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 184 3.5831309854984283e-02</internalNodes>
-          <leafValues>
-            -6.6294170916080475e-02 3.2638838887214661e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 185 -7.9818010330200195e-02</internalNodes>
-          <leafValues>
-            4.1679659485816956e-01 -9.1265693306922913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 186 -2.6545161381363869e-04</internalNodes>
-          <leafValues>
-            1.1011809855699539e-01 -1.5701800584793091e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 187 -2.4198470055125654e-04</internalNodes>
-          <leafValues>
-            1.3520300388336182e-01 -2.4126259982585907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 188 6.9970320910215378e-03</internalNodes>
-          <leafValues>
-            6.1209369450807571e-02 -4.9959999322891235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 189 1.8720689415931702e-01</internalNodes>
-          <leafValues>
-            5.6549020111560822e-02 -5.1141732931137085e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 190 2.5392429903149605e-02</internalNodes>
-          <leafValues>
-            1.2943379580974579e-02 -5.7294350862503052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 191 1.9598169252276421e-02</internalNodes>
-          <leafValues>
-            -8.1028573215007782e-02 4.1770109534263611e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 192 -3.0563350766897202e-02</internalNodes>
-          <leafValues>
-            -7.7354127168655396e-01 1.7834499478340149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 193 -1.7510980367660522e-02</internalNodes>
-          <leafValues>
-            -5.8982509374618530e-01 5.1176030188798904e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 194 8.0173909664154053e-03</internalNodes>
-          <leafValues>
-            -8.8888056576251984e-02 2.5149890780448914e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 195 3.0078329145908356e-02</internalNodes>
-          <leafValues>
-            -5.1423519849777222e-02 6.0266208648681641e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 196 1.2652520090341568e-02</internalNodes>
-          <leafValues>
-            5.2874740213155746e-02 -6.8241232633590698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 197 1.2671189324464649e-04</internalNodes>
-          <leafValues>
-            -3.3524969220161438e-01 8.1200607120990753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 198 1.8680329620838165e-01</internalNodes>
-          <leafValues>
-            -5.4362770169973373e-02 5.2354782819747925e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 199 1.7570440471172333e-01</internalNodes>
-          <leafValues>
-            -5.7003289461135864e-02 6.1373281478881836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 200 1.0384310483932495e+00</internalNodes>
-          <leafValues>
-            5.5142719298601151e-02 -6.1898940801620483e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 201 -3.6805290728807449e-03</internalNodes>
-          <leafValues>
-            -3.4223210811614990e-01 8.9690372347831726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 202 -1.5596579760313034e-02</internalNodes>
-          <leafValues>
-            -6.7402267456054688e-01 2.3316940292716026e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 203 7.3065250180661678e-03</internalNodes>
-          <leafValues>
-            -3.3753579854965210e-01 8.1490926444530487e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>49</maxWeakCount>
-      <stageThreshold>-1.5710469484329224e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 204 1.8058590590953827e-01</internalNodes>
-          <leafValues>
-            -5.3006607294082642e-01 3.0238381028175354e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 205 -1.4102189801633358e-02</internalNodes>
-          <leafValues>
-            3.6992278695106506e-01 -3.2417449355125427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 206 -1.0875849984586239e-02</internalNodes>
-          <leafValues>
-            2.5693210959434509e-01 -3.2424819469451904e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 207 1.9429029896855354e-02</internalNodes>
-          <leafValues>
-            -2.1578429639339447e-01 2.5954779982566833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 208 -3.3504539169371128e-04</internalNodes>
-          <leafValues>
-            1.5259739756584167e-01 -4.9001759290695190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 209 1.4867480099201202e-01</internalNodes>
-          <leafValues>
-            -2.5198081135749817e-01 2.3439890146255493e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 210 -1.9672799855470657e-02</internalNodes>
-          <leafValues>
-            2.4085490405559540e-01 -2.0880240201950073e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 211 2.9412939329631627e-04</internalNodes>
-          <leafValues>
-            -2.0930929481983185e-01 8.3217248320579529e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 212 -4.9362171441316605e-02</internalNodes>
-          <leafValues>
-            1.7945680022239685e-01 -2.6339888572692871e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 213 2.6121780276298523e-02</internalNodes>
-          <leafValues>
-            2.5723719969391823e-02 -7.1571451425552368e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 214 2.5359389837831259e-04</internalNodes>
-          <leafValues>
-            -3.6208280920982361e-01 1.4229419827461243e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 215 2.3524250835180283e-02</internalNodes>
-          <leafValues>
-            1.3082559406757355e-01 -3.1331199407577515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 216 2.8964199009351432e-04</internalNodes>
-          <leafValues>
-            -2.9553139209747314e-01 1.6127729415893555e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 217 -5.6771971285343170e-03</internalNodes>
-          <leafValues>
-            -5.3372818231582642e-01 3.7908848375082016e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 218 2.7393171330913901e-04</internalNodes>
-          <leafValues>
-            -3.8743188977241516e-01 1.0680560022592545e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 219 -4.9558758735656738e-02</internalNodes>
-          <leafValues>
-            2.5248089432716370e-01 -1.9702939689159393e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 220 -3.1284131109714508e-02</internalNodes>
-          <leafValues>
-            -5.4901629686355591e-01 8.3271853625774384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 221 5.1301490515470505e-02</internalNodes>
-          <leafValues>
-            5.6439649313688278e-02 -3.9528268575668335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 222 -6.5874107182025909e-02</internalNodes>
-          <leafValues>
-            -6.6007608175277710e-01 5.1039341837167740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 223 -4.2836990207433701e-02</internalNodes>
-          <leafValues>
-            -4.6951889991760254e-01 2.4805689230561256e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 224 -3.9816949516534805e-02</internalNodes>
-          <leafValues>
-            -5.3903067111968994e-01 6.2565587460994720e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 225 9.6334350109100342e-01</internalNodes>
-          <leafValues>
-            7.0093147456645966e-02 -5.0512290000915527e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 226 -9.0300403535366058e-02</internalNodes>
-          <leafValues>
-            -6.0602772235870361e-01 4.7844190150499344e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 227 1.1647170037031174e-01</internalNodes>
-          <leafValues>
-            3.7802059203386307e-02 -4.2558151483535767e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 228 1.4104600250720978e-01</internalNodes>
-          <leafValues>
-            5.3307779133319855e-02 -6.4774441719055176e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 229 -2.2453929483890533e-01</internalNodes>
-          <leafValues>
-            -7.4235057830810547e-01 3.9420530200004578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 230 1.2207459658384323e-02</internalNodes>
-          <leafValues>
-            4.1159488260746002e-02 -6.2470448017120361e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 231 -1.2989179790019989e-01</internalNodes>
-          <leafValues>
-            -5.0202441215515137e-01 5.0608549267053604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 232 -1.3367730379104614e-01</internalNodes>
-          <leafValues>
-            -5.9807258844375610e-01 5.1502179354429245e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 233 -2.7120931190438569e-04</internalNodes>
-          <leafValues>
-            9.4227276742458344e-02 -1.8693520128726959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 234 -1.0169100016355515e-01</internalNodes>
-          <leafValues>
-            3.2843610644340515e-01 -8.7932407855987549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 235 -1.0269139707088470e-01</internalNodes>
-          <leafValues>
-            3.6913949251174927e-01 -9.3921191990375519e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 236 -1.0396800003945827e-02</internalNodes>
-          <leafValues>
-            2.7350321412086487e-01 -1.0995180159807205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 237 -2.1686570718884468e-02</internalNodes>
-          <leafValues>
-            -5.4310798645019531e-01 3.5409461706876755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 238 -1.0991159826517105e-02</internalNodes>
-          <leafValues>
-            3.3133411407470703e-01 -9.4798907637596130e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 239 3.3094190061092377e-02</internalNodes>
-          <leafValues>
-            -6.7603901028633118e-02 3.7596800923347473e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 240 1.1286569759249687e-02</internalNodes>
-          <leafValues>
-            5.9782750904560089e-02 -5.1132440567016602e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 241 -2.7613660320639610e-02</internalNodes>
-          <leafValues>
-            -1.4082999527454376e-01 2.7692280709743500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 242 -2.4939039722084999e-02</internalNodes>
-          <leafValues>
-            -3.9404359459877014e-01 7.4676387012004852e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 243 -2.0524069666862488e-02</internalNodes>
-          <leafValues>
-            -3.6042830348014832e-01 7.4041247367858887e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 244 -7.4007459916174412e-03</internalNodes>
-          <leafValues>
-            2.8367879986763000e-01 -1.0147889703512192e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 245 6.7080897092819214e-01</internalNodes>
-          <leafValues>
-            4.5882590115070343e-02 -3.3616951107978821e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 246 -3.9679888635873795e-02</internalNodes>
-          <leafValues>
-            -5.2566331624984741e-01 5.4599281400442123e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 247 -8.7327197194099426e-02</internalNodes>
-          <leafValues>
-            1.6750040650367737e-01 -4.3622560799121857e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 248 6.4611792564392090e-02</internalNodes>
-          <leafValues>
-            -7.3659181594848633e-02 3.8314640522003174e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 249 -2.2105389833450317e-01</internalNodes>
-          <leafValues>
-            1.0447829961776733e-01 -1.7116640508174896e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 250 5.3933750838041306e-02</internalNodes>
-          <leafValues>
-            -2.9619699716567993e-01 9.6287600696086884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 251 -2.7547979727387428e-02</internalNodes>
-          <leafValues>
-            1.2633620202541351e-01 -1.4370830357074738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 252 -7.9627260565757751e-02</internalNodes>
-          <leafValues>
-            -6.7207431793212891e-01 4.2808510363101959e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>56</maxWeakCount>
-      <stageThreshold>-1.5772149562835693e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 253 3.9984458684921265e-01</internalNodes>
-          <leafValues>
-            -4.9297308921813965e-01 2.7820569276809692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 254 -1.1940109543502331e-02</internalNodes>
-          <leafValues>
-            2.9590839147567749e-01 -2.9935190081596375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 255 8.0412777606397867e-04</internalNodes>
-          <leafValues>
-            -5.1374572515487671e-01 1.4820599555969238e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 256 -6.8827301263809204e-02</internalNodes>
-          <leafValues>
-            3.2834580540657043e-01 -2.1098789572715759e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 257 -2.6670019142329693e-03</internalNodes>
-          <leafValues>
-            1.6911430656909943e-01 -3.8614910840988159e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 258 1.7666140571236610e-02</internalNodes>
-          <leafValues>
-            -2.7672740817070007e-01 2.1801890432834625e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 259 7.4831801466643810e-03</internalNodes>
-          <leafValues>
-            -3.8488918542861938e-01 1.6186140477657318e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 260 -1.6251010820269585e-02</internalNodes>
-          <leafValues>
-            -4.6217259764671326e-01 4.9147199839353561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 261 3.9933170774020255e-04</internalNodes>
-          <leafValues>
-            -4.5336130261421204e-01 1.0460279881954193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 262 -1.5297180041670799e-02</internalNodes>
-          <leafValues>
-            -1.4113479852676392e-01 1.1434920132160187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 263 -6.3068820163607597e-03</internalNodes>
-          <leafValues>
-            1.6264270246028900e-01 -3.1081709265708923e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 264 -1.2744629755616188e-02</internalNodes>
-          <leafValues>
-            -6.6173952817916870e-01 6.7844212055206299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 265 -1.0559420287609100e-01</internalNodes>
-          <leafValues>
-            -5.1333832740783691e-01 7.1062602102756500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 266 2.1958440542221069e-02</internalNodes>
-          <leafValues>
-            1.3662010431289673e-02 -5.3517282009124756e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 267 1.6034189611673355e-02</internalNodes>
-          <leafValues>
-            -3.5287639498710632e-01 1.0490509867668152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 268 -6.5577318891882896e-03</internalNodes>
-          <leafValues>
-            2.1489949524402618e-01 -1.9894179701805115e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 269 -1.1923479847609997e-02</internalNodes>
-          <leafValues>
-            -5.2076560258865356e-01 6.7639470100402832e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 270 8.6674906313419342e-02</internalNodes>
-          <leafValues>
-            5.8022700250148773e-02 -5.6969362497329712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 271 -2.3583239817526191e-04</internalNodes>
-          <leafValues>
-            1.6676810383796692e-01 -2.1293079853057861e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 272 2.2656060173176229e-04</internalNodes>
-          <leafValues>
-            -1.0723900049924850e-01 8.0340780317783356e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 273 -3.8619268685579300e-02</internalNodes>
-          <leafValues>
-            -4.8281979560852051e-01 6.4317606389522552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 274 -3.6343471147119999e-03</internalNodes>
-          <leafValues>
-            1.6469269990921021e-01 -1.2586009502410889e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 275 -1.3567389547824860e-01</internalNodes>
-          <leafValues>
-            6.8711781501770020e-01 -4.5401938259601593e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 276 -5.9284181334078312e-03</internalNodes>
-          <leafValues>
-            -4.4602438807487488e-01 7.7744297683238983e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 277 -3.8721960037946701e-02</internalNodes>
-          <leafValues>
-            -7.9545962810516357e-01 2.7273029088973999e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 278 2.7111990493722260e-04</internalNodes>
-          <leafValues>
-            -6.1464820057153702e-02 8.6636051535606384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 279 -8.9391563087701797e-03</internalNodes>
-          <leafValues>
-            3.2042619585990906e-01 -9.4426132738590240e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 280 4.0600231289863586e-01</internalNodes>
-          <leafValues>
-            -1.4507249929010868e-02 4.0071460604667664e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 281 3.5274639725685120e-01</internalNodes>
-          <leafValues>
-            -4.8782840371131897e-02 5.8633488416671753e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 282 -2.6537929079495370e-04</internalNodes>
-          <leafValues>
-            1.6140839457511902e-01 -2.1041369438171387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 283 -1.2319950386881828e-02</internalNodes>
-          <leafValues>
-            -5.9739661216735840e-01 4.0629621595144272e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 284 -1.3849560171365738e-02</internalNodes>
-          <leafValues>
-            -6.8779480457305908e-01 2.8297599405050278e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 285 -3.0354750924743712e-04</internalNodes>
-          <leafValues>
-            1.1384069919586182e-01 -2.1501390635967255e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 286 -3.9106961339712143e-02</internalNodes>
-          <leafValues>
-            -2.2600589692592621e-01 3.9526809006929398e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 287 -2.8095500543713570e-02</internalNodes>
-          <leafValues>
-            -3.5950079560279846e-01 7.4736073613166809e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 288 -2.1256110072135925e-01</internalNodes>
-          <leafValues>
-            -7.1098762750625610e-01 4.1869599372148514e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 289 -7.9028336331248283e-03</internalNodes>
-          <leafValues>
-            3.0954331159591675e-01 -8.6424186825752258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 290 1.1795709840953350e-02</internalNodes>
-          <leafValues>
-            2.5133460760116577e-02 -6.6756761074066162e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 291 -1.0672540403902531e-02</internalNodes>
-          <leafValues>
-            -5.7254207134246826e-01 3.8454119116067886e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 292 1.9260150194168091e-01</internalNodes>
-          <leafValues>
-            4.5295011252164841e-02 -3.5983958840370178e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 293 2.7458968758583069e-01</internalNodes>
-          <leafValues>
-            3.7602171301841736e-02 -6.7104452848434448e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 294 -2.9315929859876633e-02</internalNodes>
-          <leafValues>
-            -5.7990521192550659e-01 3.4113410860300064e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 295 -3.4563058614730835e-01</internalNodes>
-          <leafValues>
-            -7.7321988344192505e-01 2.6545749977231026e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 296 1.0821919888257980e-01</internalNodes>
-          <leafValues>
-            2.6538049802184105e-02 -5.1272237300872803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 297 1.5225330367684364e-02</internalNodes>
-          <leafValues>
-            -2.8461378812789917e-01 9.5019251108169556e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 298 -1.3128579594194889e-02</internalNodes>
-          <leafValues>
-            2.4167710542678833e-01 -9.8213009536266327e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 299 3.9482329040765762e-02</internalNodes>
-          <leafValues>
-            -8.4126733243465424e-02 3.1721648573875427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 300 2.0438270270824432e-01</internalNodes>
-          <leafValues>
-            -9.0963877737522125e-02 2.7314299345016479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 301 -2.1871099306736141e-04</internalNodes>
-          <leafValues>
-            1.2994079291820526e-01 -1.9457989931106567e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 302 -9.3532271683216095e-02</internalNodes>
-          <leafValues>
-            4.6456810832023621e-01 -6.9762058556079865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 303 2.3594809696078300e-02</internalNodes>
-          <leafValues>
-            -1.6312980651855469e-01 1.5879690647125244e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 304 2.3572299629449844e-02</internalNodes>
-          <leafValues>
-            3.4230828285217285e-02 -3.9106941223144531e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 305 -2.8218850493431091e-02</internalNodes>
-          <leafValues>
-            4.9798300862312317e-01 -5.4106999188661575e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 306 -4.6584788709878922e-02</internalNodes>
-          <leafValues>
-            -4.2779120802879333e-01 4.1826229542493820e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 307 1.1646820232272148e-02</internalNodes>
-          <leafValues>
-            6.8037100136280060e-02 -3.5714611411094666e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 308 -1.9526390731334686e-01</internalNodes>
-          <leafValues>
-            2.1971330046653748e-01 -1.0934519767761230e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>70</maxWeakCount>
-      <stageThreshold>-1.5406730175018311e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 309 -6.0963228344917297e-02</internalNodes>
-          <leafValues>
-            2.6233229041099548e-01 -3.9964640140533447e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 310 3.1858150032348931e-04</internalNodes>
-          <leafValues>
-            -1.8744090199470520e-01 1.2887619435787201e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 311 -1.7338279634714127e-02</internalNodes>
-          <leafValues>
-            1.5848200023174286e-01 -4.1080018877983093e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 312 1.9554449617862701e-01</internalNodes>
-          <leafValues>
-            -4.1255399584770203e-01 1.6843290627002716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 313 -1.6848340630531311e-02</internalNodes>
-          <leafValues>
-            1.5632760524749756e-01 -4.2258378863334656e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 314 6.7765302956104279e-02</internalNodes>
-          <leafValues>
-            8.8457070291042328e-02 -4.5746278762817383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 315 -2.1593479439616203e-02</internalNodes>
-          <leafValues>
-            4.3105560541152954e-01 -1.1188620328903198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 316 2.2325530648231506e-02</internalNodes>
-          <leafValues>
-            -1.7106969654560089e-01 1.1900480091571808e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 317 4.1217468678951263e-02</internalNodes>
-          <leafValues>
-            1.1528480052947998e-01 -4.2701280117034912e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 318 -2.0137800311204046e-04</internalNodes>
-          <leafValues>
-            1.7593939602375031e-01 -2.0617599785327911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 319 2.0204859902150929e-04</internalNodes>
-          <leafValues>
-            -5.6596899032592773e-01 8.9145816862583160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 320 -3.0921408534049988e-01</internalNodes>
-          <leafValues>
-            3.4555140137672424e-01 -1.0850270092487335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 321 -6.1448230408132076e-03</internalNodes>
-          <leafValues>
-            1.8596710264682770e-01 -2.0050209760665894e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 322 -1.2021329998970032e-01</internalNodes>
-          <leafValues>
-            -3.4771358966827393e-01 5.4678130894899368e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 323 -1.4376080036163330e-01</internalNodes>
-          <leafValues>
-            -5.4118317365646362e-01 6.1214160174131393e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 324 -1.2037059664726257e-01</internalNodes>
-          <leafValues>
-            -6.1475539207458496e-01 1.6389599069952965e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 325 4.2673919349908829e-02</internalNodes>
-          <leafValues>
-            6.1599899083375931e-02 -4.8987519741058350e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 326 2.0105950534343719e-01</internalNodes>
-          <leafValues>
-            1.9135080277919769e-02 -4.4107690453529358e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 327 2.0882239937782288e-01</internalNodes>
-          <leafValues>
-            6.1363980174064636e-02 -5.6655067205429077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 328 3.4317639074288309e-04</internalNodes>
-          <leafValues>
-            -3.7903869152069092e-01 8.0770552158355713e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 329 1.1899280361831188e-02</internalNodes>
-          <leafValues>
-            5.1373660564422607e-02 -5.1244020462036133e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 330 -1.5274089761078358e-02</internalNodes>
-          <leafValues>
-            -6.5564781427383423e-01 3.1176609918475151e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 331 2.0450940355658531e-02</internalNodes>
-          <leafValues>
-            -1.1008310317993164e-01 2.4426600337028503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 332 1.0915989987552166e-02</internalNodes>
-          <leafValues>
-            -3.0113309621810913e-01 8.4650352597236633e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 333 6.5979440696537495e-03</internalNodes>
-          <leafValues>
-            -2.3539529740810394e-01 1.1103770136833191e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 334 7.4403129518032074e-02</internalNodes>
-          <leafValues>
-            2.6583429425954819e-02 -5.2900832891464233e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 335 9.6808141097426414e-03</internalNodes>
-          <leafValues>
-            -3.1914350390434265e-01 9.1770917177200317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 336 2.9621220892295241e-04</internalNodes>
-          <leafValues>
-            -2.4492859840393066e-01 2.6193821430206299e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 337 9.8016488552093506e-01</internalNodes>
-          <leafValues>
-            4.3550208210945129e-02 -5.0767660140991211e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 338 -3.1622480601072311e-02</internalNodes>
-          <leafValues>
-            -8.4246248006820679e-01 3.8115619681775570e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 339 -2.3534629493951797e-02</internalNodes>
-          <leafValues>
-            -4.1606828570365906e-01 5.6047659367322922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 340 -2.7265268727205694e-04</internalNodes>
-          <leafValues>
-            7.3260016739368439e-02 -1.2437839806079865e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 341 3.2802440226078033e-02</internalNodes>
-          <leafValues>
-            4.6918708831071854e-02 -5.4838627576828003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 342 2.9037919011898339e-04</internalNodes>
-          <leafValues>
-            -7.6424241065979004e-02 7.5254246592521667e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 343 -2.0024979487061501e-02</internalNodes>
-          <leafValues>
-            -6.4532381296157837e-01 3.3612970262765884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 344 -2.7752740425057709e-04</internalNodes>
-          <leafValues>
-            8.7540581822395325e-02 -9.9770903587341309e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 345 7.7714829239994287e-04</internalNodes>
-          <leafValues>
-            -1.1906430125236511e-01 2.0813730359077454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 346 -3.3943509333766997e-04</internalNodes>
-          <leafValues>
-            1.0715380311012268e-01 -3.6650410294532776e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 347 -3.1033109873533249e-02</internalNodes>
-          <leafValues>
-            -3.9916810393333435e-01 8.1188216805458069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 348 -1.7289260402321815e-02</internalNodes>
-          <leafValues>
-            3.8013750314712524e-01 -6.0977298766374588e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 349 -1.5011649578809738e-02</internalNodes>
-          <leafValues>
-            -3.3468168973922729e-01 6.8933099508285522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 350 6.4567357301712036e-02</internalNodes>
-          <leafValues>
-            6.5394707024097443e-02 -4.7988981008529663e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 351 1.2624289840459824e-02</internalNodes>
-          <leafValues>
-            -2.0736390352249146e-01 1.0337830334901810e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 352 2.3402009159326553e-02</internalNodes>
-          <leafValues>
-            1.9422940909862518e-02 -2.9609990119934082e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 353 1.0855530202388763e-01</internalNodes>
-          <leafValues>
-            3.5537008196115494e-02 -5.5214291810989380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 354 4.5320361852645874e-02</internalNodes>
-          <leafValues>
-            5.1564838737249374e-02 -2.5036799907684326e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 355 -5.7765920646488667e-03</internalNodes>
-          <leafValues>
-            -3.6300620436668396e-01 6.0400400310754776e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 356 4.2834520339965820e-02</internalNodes>
-          <leafValues>
-            -1.0816460102796555e-01 5.9968799352645874e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 357 -6.7743198014795780e-03</internalNodes>
-          <leafValues>
-            2.1504840254783630e-01 -9.3404106795787811e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 358 1.1993249878287315e-02</internalNodes>
-          <leafValues>
-            1.7558900639414787e-02 -7.4426478147506714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 359 -7.5555630028247833e-03</internalNodes>
-          <leafValues>
-            -3.8360419869422913e-01 4.8056539148092270e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 360 5.1661770790815353e-02</internalNodes>
-          <leafValues>
-            -4.0535770356655121e-02 2.7973321080207825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 361 -3.4890910610556602e-03</internalNodes>
-          <leafValues>
-            1.1065530031919479e-01 -1.8241560459136963e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 362 -1.7821760475635529e-01</internalNodes>
-          <leafValues>
-            4.6676158905029297e-01 -4.5715868473052979e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 363 -3.9882469922304153e-02</internalNodes>
-          <leafValues>
-            -3.6969459056854248e-01 6.6279433667659760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 364 8.6848186329007149e-03</internalNodes>
-          <leafValues>
-            -9.0845301747322083e-02 2.9390209913253784e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 365 -9.8893903195858002e-03</internalNodes>
-          <leafValues>
-            -5.9415078163146973e-01 3.5158470273017883e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 366 1.2979790568351746e-01</internalNodes>
-          <leafValues>
-            -6.3968099653720856e-02 3.1669330596923828e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 367 -2.2091900929808617e-02</internalNodes>
-          <leafValues>
-            -7.3574930429458618e-01 3.4748189151287079e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 368 6.3688866794109344e-02</internalNodes>
-          <leafValues>
-            -4.8844788223505020e-02 1.8822559714317322e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 369 -2.8462480986490846e-04</internalNodes>
-          <leafValues>
-            1.4634150266647339e-01 -1.2434139847755432e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 370 8.7389163672924042e-03</internalNodes>
-          <leafValues>
-            -8.8357016444206238e-02 3.6513170599937439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 371 -8.5483584553003311e-03</internalNodes>
-          <leafValues>
-            -3.7375131249427795e-01 4.9242861568927765e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 372 -4.8324568197131157e-03</internalNodes>
-          <leafValues>
-            3.0512019991874695e-01 -8.7134227156639099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 373 9.0768225491046906e-03</internalNodes>
-          <leafValues>
-            5.4005049169063568e-02 -3.6545351147651672e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 374 -4.1476011276245117e-02</internalNodes>
-          <leafValues>
-            -2.6398089528083801e-01 3.6431320011615753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 375 -1.7926920205354691e-02</internalNodes>
-          <leafValues>
-            -2.0585890114307404e-01 9.5735296607017517e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 376 1.3466989621520042e-02</internalNodes>
-          <leafValues>
-            4.0114641189575195e-02 -2.6507300138473511e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 377 -1.0521490126848221e-02</internalNodes>
-          <leafValues>
-            3.3944410085678101e-01 -6.2721483409404755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 378 9.0459967032074928e-03</internalNodes>
-          <leafValues>
-            -1.1153969913721085e-01 3.6552271246910095e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>77</maxWeakCount>
-      <stageThreshold>-1.5132089853286743e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 379 2.9219689965248108e-01</internalNodes>
-          <leafValues>
-            -3.0517441034317017e-01 3.1100711226463318e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 380 4.8884529620409012e-02</internalNodes>
-          <leafValues>
-            -4.3176358938217163e-01 9.0919703245162964e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 381 -8.6104847490787506e-02</internalNodes>
-          <leafValues>
-            2.3504100739955902e-01 -2.4588750302791595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 382 -3.7824749946594238e-02</internalNodes>
-          <leafValues>
-            1.1865279823541641e-01 -1.6027280688285828e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 383 5.1638111472129822e-03</internalNodes>
-          <leafValues>
-            -3.0879729986190796e-01 1.6927860677242279e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 384 1.0608089715242386e-01</internalNodes>
-          <leafValues>
-            -3.2493358850479126e-01 2.0097799599170685e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 385 -1.7758550122380257e-02</internalNodes>
-          <leafValues>
-            1.1281190067529678e-01 -3.5320740938186646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 386 -4.9341689795255661e-02</internalNodes>
-          <leafValues>
-            1.4547340571880341e-01 -2.6537749171257019e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 387 2.5910969823598862e-02</internalNodes>
-          <leafValues>
-            1.2290839850902557e-01 -4.1275170445442200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 388 5.6900721974670887e-03</internalNodes>
-          <leafValues>
-            -4.1842108964920044e-01 9.8855160176753998e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 389 -1.0024379938840866e-01</internalNodes>
-          <leafValues>
-            3.8681399822235107e-01 -9.5526076853275299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 390 -2.0592489454429597e-04</internalNodes>
-          <leafValues>
-            1.0861500352621078e-01 -1.1460640281438828e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 391 -2.4438640684820712e-04</internalNodes>
-          <leafValues>
-            1.3918270170688629e-01 -2.2799800336360931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 392 -2.2062960488256067e-04</internalNodes>
-          <leafValues>
-            2.0565949380397797e-01 -2.7677100896835327e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 393 -9.5974102616310120e-02</internalNodes>
-          <leafValues>
-            3.0785810947418213e-01 -1.1823830008506775e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 394 -1.5439930558204651e-01</internalNodes>
-          <leafValues>
-            4.4712421298027039e-01 -1.7546219751238823e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 395 6.2385208904743195e-02</internalNodes>
-          <leafValues>
-            -1.2762880325317383e-01 2.6652419567108154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 396 -2.1663220599293709e-02</internalNodes>
-          <leafValues>
-            -5.5112272500991821e-01 7.8566007316112518e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 397 2.4211770296096802e-01</internalNodes>
-          <leafValues>
-            -8.1605702638626099e-02 4.1426479816436768e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 398 4.3407708406448364e-02</internalNodes>
-          <leafValues>
-            2.9027709737420082e-02 -6.5751147270202637e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 399 -2.5835740962065756e-04</internalNodes>
-          <leafValues>
-            1.4794899523258209e-01 -1.8168459832668304e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 400 -2.0531630143523216e-02</internalNodes>
-          <leafValues>
-            -3.0385929346084595e-01 5.8148749172687531e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 401 -3.5120129585266113e-02</internalNodes>
-          <leafValues>
-            -7.7284640073776245e-01 3.3544670790433884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 402 9.0519672632217407e-01</internalNodes>
-          <leafValues>
-            5.8951519429683685e-02 -4.0955621004104614e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 403 -2.9139410704374313e-02</internalNodes>
-          <leafValues>
-            -4.9474939703941345e-01 4.9022089689970016e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 404 -8.9205689728260040e-03</internalNodes>
-          <leafValues>
-            1.7033359408378601e-01 -1.2763510644435883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 405 -6.8206740543246269e-03</internalNodes>
-          <leafValues>
-            -4.4272041320800781e-01 6.4747646450996399e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 406 -1.1916610412299633e-02</internalNodes>
-          <leafValues>
-            -4.2080488801002502e-01 1.4589769765734673e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 407 1.4910879544913769e-02</internalNodes>
-          <leafValues>
-            -2.6192238926887512e-01 9.8739542067050934e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 408 -3.9695478975772858e-02</internalNodes>
-          <leafValues>
-            -5.7163047790527344e-01 1.5096279792487621e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 409 -2.1801660477649420e-04</internalNodes>
-          <leafValues>
-            1.2833200395107269e-01 -2.1621960401535034e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 410 -4.5885100960731506e-02</internalNodes>
-          <leafValues>
-            -5.8307892084121704e-01 2.3085020482540131e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 411 -3.7609770894050598e-02</internalNodes>
-          <leafValues>
-            -4.7697749733924866e-01 4.9783270806074142e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 412 -7.9078450798988342e-03</internalNodes>
-          <leafValues>
-            2.8025069832801819e-01 -8.0540910363197327e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 413 3.9813838899135590e-02</internalNodes>
-          <leafValues>
-            -6.3936218619346619e-02 4.0940278768539429e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 414 4.4679851271212101e-03</internalNodes>
-          <leafValues>
-            -6.8359166383743286e-02 1.8522049486637115e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 415 -7.4347038753330708e-03</internalNodes>
-          <leafValues>
-            2.9873400926589966e-01 -9.6865907311439514e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 416 -2.6862850063480437e-04</internalNodes>
-          <leafValues>
-            8.8527821004390717e-02 -1.4215320348739624e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 417 -1.6553189605474472e-02</internalNodes>
-          <leafValues>
-            -4.9239259958267212e-01 4.9005638808012009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 418 9.2472568154335022e-02</internalNodes>
-          <leafValues>
-            3.3866059035062790e-02 -4.1273859143257141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 419 2.5774519890546799e-02</internalNodes>
-          <leafValues>
-            -2.2871309518814087e-01 1.2359119951725006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 420 -2.7509099245071411e-01</internalNodes>
-          <leafValues>
-            -6.7499440908432007e-01 3.4330759197473526e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 421 7.1902588009834290e-02</internalNodes>
-          <leafValues>
-            4.1956070810556412e-02 -4.7635290026664734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 422 3.1190859153866768e-02</internalNodes>
-          <leafValues>
-            2.7266679331660271e-02 -3.0001860857009888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 423 -1.7863180488348007e-02</internalNodes>
-          <leafValues>
-            -3.7337848544120789e-01 6.1663690954446793e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 424 1.5114569664001465e-01</internalNodes>
-          <leafValues>
-            5.1791738718748093e-02 -2.1886229515075684e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 425 2.1793439984321594e-01</internalNodes>
-          <leafValues>
-            6.1016459017992020e-02 -4.1775038838386536e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 426 1.1218019761145115e-02</internalNodes>
-          <leafValues>
-            3.4812860190868378e-02 -5.2636182308197021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 427 -1.8883459270000458e-01</internalNodes>
-          <leafValues>
-            5.2004408836364746e-01 -4.3031368404626846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 428 -1.4107990078628063e-02</internalNodes>
-          <leafValues>
-            -6.1068981885910034e-01 4.0028609335422516e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 429 -1.8044840544462204e-02</internalNodes>
-          <leafValues>
-            -2.6319840550422668e-01 7.3012411594390869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 430 6.5544890239834785e-03</internalNodes>
-          <leafValues>
-            -8.5429012775421143e-02 2.2411470115184784e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 431 -1.2311659753322601e-02</internalNodes>
-          <leafValues>
-            -4.4297298789024353e-01 4.6654261648654938e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 432 -7.6358742080628872e-03</internalNodes>
-          <leafValues>
-            1.9960640370845795e-01 -5.2228130400180817e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 433 -1.9270919263362885e-02</internalNodes>
-          <leafValues>
-            -7.6859807968139648e-01 2.4350909516215324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 434 9.6641881391406059e-03</internalNodes>
-          <leafValues>
-            -1.3469670712947845e-01 1.3244539499282837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 435 -1.2020190246403217e-02</internalNodes>
-          <leafValues>
-            3.5538628697395325e-01 -5.2558019757270813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 436 -2.2079790011048317e-02</internalNodes>
-          <leafValues>
-            -6.7542260885238647e-01 1.2419540435075760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 437 -3.0078861163929105e-04</internalNodes>
-          <leafValues>
-            1.2276499718427658e-01 -1.7497499287128448e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 438 -3.7308711558580399e-02</internalNodes>
-          <leafValues>
-            1.8548089265823364e-01 -9.7975112497806549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 439 4.5999120920896530e-02</internalNodes>
-          <leafValues>
-            1.1436489969491959e-01 -2.4614730477333069e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 440 8.2224510610103607e-02</internalNodes>
-          <leafValues>
-            -2.4108020588755608e-02 2.6900330185890198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 441 8.1898719072341919e-02</internalNodes>
-          <leafValues>
-            -3.9654031395912170e-02 5.0478577613830566e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 442 4.6143731474876404e-01</internalNodes>
-          <leafValues>
-            -4.4239178299903870e-02 4.1229158639907837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 443 2.5755251408554614e-04</internalNodes>
-          <leafValues>
-            -1.7785720527172089e-01 1.2050230056047440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 444 1.5665199607610703e-02</internalNodes>
-          <leafValues>
-            -4.8571150749921799e-02 8.1546753644943237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 445 4.9880009144544601e-02</internalNodes>
-          <leafValues>
-            4.2151898145675659e-02 -5.3030568361282349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 446 -2.7810079045593739e-03</internalNodes>
-          <leafValues>
-            1.1986789852380753e-01 -1.9060449302196503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 447 -1.7600769177079201e-02</internalNodes>
-          <leafValues>
-            1.8970359861850739e-01 -8.8979102671146393e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 448 5.0103738903999329e-03</internalNodes>
-          <leafValues>
-            -3.1680819392204285e-01 6.1706308275461197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 449 5.5831652134656906e-03</internalNodes>
-          <leafValues>
-            -2.0722299814224243e-01 8.9394062757492065e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 450 1.0134370066225529e-02</internalNodes>
-          <leafValues>
-            -7.0040181279182434e-02 4.8694871366024017e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 451 1.7011690139770508e-01</internalNodes>
-          <leafValues>
-            2.5866439566016197e-02 -7.2743201255798340e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 452 1.2832039967179298e-02</internalNodes>
-          <leafValues>
-            -3.2375771552324295e-02 2.8207421302795410e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 453 -2.1063549502287060e-04</internalNodes>
-          <leafValues>
-            9.8073638975620270e-02 -1.7797160148620605e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 454 -1.5745580196380615e-02</internalNodes>
-          <leafValues>
-            -3.9818260073661804e-01 2.1284950897097588e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 455 5.3099099546670914e-02</internalNodes>
-          <leafValues>
-            4.7397170215845108e-02 -3.5792729258537292e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>67</maxWeakCount>
-      <stageThreshold>-1.5654580593109131e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 456 -1.2607829645276070e-02</internalNodes>
-          <leafValues>
-            3.2892930507659912e-01 -2.8717321157455444e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 457 6.9764256477355957e-02</internalNodes>
-          <leafValues>
-            -2.1456170082092285e-01 2.6850989460945129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 458 -4.1743788868188858e-02</internalNodes>
-          <leafValues>
-            1.5136370062828064e-01 -3.8764739036560059e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 459 1.0303430259227753e-01</internalNodes>
-          <leafValues>
-            -2.8481671214103699e-01 1.2986589968204498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 460 -9.6640773117542267e-02</internalNodes>
-          <leafValues>
-            -5.2456647157669067e-01 1.0953909903764725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 461 8.0958474427461624e-03</internalNodes>
-          <leafValues>
-            5.1381088793277740e-02 -2.6674580574035645e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 462 -2.2447129595093429e-04</internalNodes>
-          <leafValues>
-            2.0919109880924225e-01 -2.4358089268207550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 463 1.2414649873971939e-01</internalNodes>
-          <leafValues>
-            -3.0061379075050354e-01 1.5729129314422607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 464 4.7367930412292480e-02</internalNodes>
-          <leafValues>
-            -8.4176316857337952e-02 4.1426560282707214e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 465 -1.9609710201621056e-02</internalNodes>
-          <leafValues>
-            3.4175410866737366e-01 -1.6074979305267334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 466 3.4829009324312210e-02</internalNodes>
-          <leafValues>
-            7.5592942535877228e-02 -4.5084610581398010e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 467 3.1012278795242310e-01</internalNodes>
-          <leafValues>
-            -3.9134029299020767e-02 1.4436219632625580e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 468 2.9249370098114014e-01</internalNodes>
-          <leafValues>
-            -6.4225807785987854e-02 4.3533229827880859e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 469 -2.3114589974284172e-02</internalNodes>
-          <leafValues>
-            3.0709230899810791e-01 -8.9011840522289276e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 470 2.7578460867516696e-04</internalNodes>
-          <leafValues>
-            -3.0701848864555359e-01 9.3834467232227325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 471 4.5587219297885895e-02</internalNodes>
-          <leafValues>
-            3.8235291838645935e-02 -3.3477979898452759e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 472 -2.4057110771536827e-02</internalNodes>
-          <leafValues>
-            -4.4573658704757690e-01 6.7070230841636658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 473 1.3616659678518772e-02</internalNodes>
-          <leafValues>
-            -6.1480499804019928e-02 4.2142671346664429e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 474 -2.2992959246039391e-02</internalNodes>
-          <leafValues>
-            3.6616420745849609e-01 -8.7241843342781067e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 475 1.2585769593715668e-01</internalNodes>
-          <leafValues>
-            3.7163209170103073e-02 -3.5607740283012390e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 476 -8.1533789634704590e-02</internalNodes>
-          <leafValues>
-            -4.6987119317054749e-01 6.1010621488094330e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 477 -2.4753381148912013e-04</internalNodes>
-          <leafValues>
-            1.9363069534301758e-01 -1.8168680369853973e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 478 -2.6028539286926389e-04</internalNodes>
-          <leafValues>
-            8.4685117006301880e-02 -3.2848459482192993e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 479 -2.2039060422684997e-04</internalNodes>
-          <leafValues>
-            1.2290880084037781e-01 -1.5494909882545471e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 480 1.9603030383586884e-01</internalNodes>
-          <leafValues>
-            5.8126050978899002e-02 -4.5621550083160400e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 481 1.4078690111637115e-01</internalNodes>
-          <leafValues>
-            4.4675320386886597e-02 -5.6197601556777954e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 482 -2.2961759532336146e-04</internalNodes>
-          <leafValues>
-            1.1912509799003601e-01 -2.1606180071830750e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 483 -1.9533330574631691e-02</internalNodes>
-          <leafValues>
-            -3.9051491022109985e-01 7.0104159414768219e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 484 1.3873109593987465e-02</internalNodes>
-          <leafValues>
-            -7.2445243597030640e-02 3.7747910618782043e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 485 -1.2634480663109571e-04</internalNodes>
-          <leafValues>
-            9.5786243677139282e-02 -1.2607480585575104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 486 -2.4178609251976013e-02</internalNodes>
-          <leafValues>
-            -5.3298008441925049e-01 5.0309620797634125e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 487 -1.4559309929609299e-02</internalNodes>
-          <leafValues>
-            3.9040461182594299e-01 -1.1877249926328659e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 488 -2.2580049699172378e-04</internalNodes>
-          <leafValues>
-            1.9512599706649780e-01 -1.4849540591239929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 489 -2.1493160724639893e-01</internalNodes>
-          <leafValues>
-            -6.0010147094726562e-01 2.9111139476299286e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 490 -1.2839700095355511e-02</internalNodes>
-          <leafValues>
-            3.1576830148696899e-01 -7.2001501917839050e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 491 -1.9878910854458809e-02</internalNodes>
-          <leafValues>
-            3.2251578569412231e-01 -1.3537259399890900e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 492 1.0035489685833454e-02</internalNodes>
-          <leafValues>
-            -5.6822560727596283e-02 4.6567371487617493e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 493 -3.7623681128025055e-02</internalNodes>
-          <leafValues>
-            -4.2677378654479980e-01 6.4819470047950745e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 494 1.1324769729981199e-04</internalNodes>
-          <leafValues>
-            -1.5958139300346375e-01 1.4778269827365875e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 495 3.7978328764438629e-02</internalNodes>
-          <leafValues>
-            -6.5907582640647888e-02 4.0129879117012024e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 496 3.9439778774976730e-02</internalNodes>
-          <leafValues>
-            -8.4525480866432190e-02 3.5665979981422424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 497 -8.9516127482056618e-03</internalNodes>
-          <leafValues>
-            -4.3341609835624695e-01 6.1983428895473480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 498 8.3888713270425797e-03</internalNodes>
-          <leafValues>
-            4.6857211738824844e-02 -4.7389200329780579e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 499 7.4398089200258255e-03</internalNodes>
-          <leafValues>
-            4.2178198695182800e-02 -5.1433807611465454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 500 -1.0792319662868977e-02</internalNodes>
-          <leafValues>
-            -5.8029949665069580e-01 3.2290369272232056e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 501 -1.7495209351181984e-02</internalNodes>
-          <leafValues>
-            -3.0535429716110229e-01 6.2918312847614288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 502 -2.0570710301399231e-02</internalNodes>
-          <leafValues>
-            1.8253210186958313e-01 -1.2104229629039764e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 503 -1.1084279685746878e-04</internalNodes>
-          <leafValues>
-            1.0002639889717102e-01 -1.4502419531345367e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 504 -1.1143789626657963e-02</internalNodes>
-          <leafValues>
-            -3.4728500247001648e-01 6.5074883401393890e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 505 -9.1553200036287308e-03</internalNodes>
-          <leafValues>
-            3.3986049890518188e-01 -1.3546380400657654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 506 -2.1860719425603747e-04</internalNodes>
-          <leafValues>
-            1.4218950271606445e-01 -1.6001039743423462e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 507 -8.7175592780113220e-02</internalNodes>
-          <leafValues>
-            3.0803269147872925e-01 -7.5192652642726898e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 508 7.8020721673965454e-02</internalNodes>
-          <leafValues>
-            -9.8369129002094269e-02 2.5249159336090088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 509 2.8408560319803655e-04</internalNodes>
-          <leafValues>
-            -3.8713818788528442e-01 4.7610171139240265e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 510 -1.2072480283677578e-02</internalNodes>
-          <leafValues>
-            2.1239200234413147e-01 -1.0058870166540146e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 511 9.9354498088359833e-02</internalNodes>
-          <leafValues>
-            2.4916980415582657e-02 -5.6729847192764282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 512 1.9157710485160351e-03</internalNodes>
-          <leafValues>
-            -5.0840312242507935e-01 4.1036780923604965e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 513 -1.2407809845171869e-04</internalNodes>
-          <leafValues>
-            7.8671306371688843e-02 -1.3265369832515717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 514 -5.2246060222387314e-02</internalNodes>
-          <leafValues>
-            1.1491920053958893e-01 -1.7707020044326782e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 515 -1.8520159937907010e-04</internalNodes>
-          <leafValues>
-            7.4766620993614197e-02 -1.2861029803752899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 516 1.2496319599449635e-02</internalNodes>
-          <leafValues>
-            -3.7268429994583130e-02 5.8338952064514160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 517 -2.0702749490737915e-02</internalNodes>
-          <leafValues>
-            -4.5835781097412109e-01 2.9882829636335373e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 518 -1.0285720054525882e-04</internalNodes>
-          <leafValues>
-            1.1698140203952789e-01 -1.7797960340976715e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 519 -2.9295669868588448e-02</internalNodes>
-          <leafValues>
-            -4.7592011094093323e-01 5.5395901203155518e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 520 2.6850448921322823e-03</internalNodes>
-          <leafValues>
-            9.5413416624069214e-02 -2.3697119951248169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 521 3.6398479342460632e-01</internalNodes>
-          <leafValues>
-            2.4766860529780388e-02 -7.3781871795654297e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 522 3.4822531044483185e-02</internalNodes>
-          <leafValues>
-            -3.7149909883737564e-02 5.8010172843933105e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>99</maxWeakCount>
-      <stageThreshold>-1.5075240135192871e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 523 -6.6602258011698723e-03</internalNodes>
-          <leafValues>
-            3.1043940782546997e-01 -1.9141380488872528e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 524 8.8032007217407227e-02</internalNodes>
-          <leafValues>
-            -2.8957960009574890e-01 1.2161549925804138e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 525 -8.2375640049576759e-03</internalNodes>
-          <leafValues>
-            1.9459870457649231e-01 -2.7759641408920288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 526 4.1018098592758179e-01</internalNodes>
-          <leafValues>
-            5.4545659571886063e-02 -6.9322890043258667e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 527 -7.9229446128010750e-03</internalNodes>
-          <leafValues>
-            1.3063080608844757e-01 -3.8455259799957275e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 528 7.8757777810096741e-02</internalNodes>
-          <leafValues>
-            -1.8611170351505280e-01 1.0287279635667801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 529 1.0222750157117844e-01</internalNodes>
-          <leafValues>
-            -2.9705610871315002e-01 1.5016749501228333e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 530 -6.4451918005943298e-02</internalNodes>
-          <leafValues>
-            -4.1343700885772705e-01 1.0809410363435745e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 531 -3.6805730313062668e-02</internalNodes>
-          <leafValues>
-            3.6842620372772217e-01 -1.1410260200500488e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 532 -2.9369849711656570e-02</internalNodes>
-          <leafValues>
-            3.2764801383018494e-01 -8.0264106392860413e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 533 6.7123891785740852e-03</internalNodes>
-          <leafValues>
-            8.8286422193050385e-02 -4.4459021091461182e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 534 -1.5381410717964172e-01</internalNodes>
-          <leafValues>
-            -4.5621570944786072e-01 1.8093600869178772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 535 -2.5389369577169418e-02</internalNodes>
-          <leafValues>
-            -4.6903249621391296e-01 6.1550658196210861e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 536 -2.9891099780797958e-02</internalNodes>
-          <leafValues>
-            -2.8205209970474243e-01 2.7893319725990295e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 537 -2.3889240401331335e-04</internalNodes>
-          <leafValues>
-            8.6677610874176025e-02 -3.5725289583206177e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 538 9.6705302596092224e-02</internalNodes>
-          <leafValues>
-            3.3406659960746765e-02 -2.0783829689025879e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 539 9.1295214369893074e-03</internalNodes>
-          <leafValues>
-            -9.9172890186309814e-02 3.0859309434890747e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 540 2.9348930716514587e-01</internalNodes>
-          <leafValues>
-            8.1442613154649734e-03 -5.0951921939849854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 541 -8.3247363567352295e-02</internalNodes>
-          <leafValues>
-            -4.8498851060867310e-01 6.0873661190271378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 542 -8.3527393639087677e-02</internalNodes>
-          <leafValues>
-            -1.0333900153636932e-01 1.5871569514274597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 543 -1.2028300017118454e-01</internalNodes>
-          <leafValues>
-            -4.3540289998054504e-01 6.3313230872154236e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 544 3.3538970351219177e-01</internalNodes>
-          <leafValues>
-            1.3954630121588707e-02 -4.4239100813865662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 545 -1.6432419419288635e-02</internalNodes>
-          <leafValues>
-            -4.2601698637008667e-01 5.8607041835784912e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 546 -1.9124349637422711e-04</internalNodes>
-          <leafValues>
-            6.0554228723049164e-02 -7.7583022415637970e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 547 2.3965220316313207e-04</internalNodes>
-          <leafValues>
-            -1.2831470370292664e-01 2.0453229546546936e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 548 1.4102800190448761e-01</internalNodes>
-          <leafValues>
-            4.2550500482320786e-02 -5.2618932723999023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 549 1.6046499833464622e-02</internalNodes>
-          <leafValues>
-            -2.4661840498447418e-01 8.1378452479839325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 550 5.3162779659032822e-02</internalNodes>
-          <leafValues>
-            3.5204000771045685e-02 -2.8310409188270569e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 551 -4.1723258793354034e-02</internalNodes>
-          <leafValues>
-            -2.9830178618431091e-01 8.0123953521251678e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 552 -5.5392801761627197e-02</internalNodes>
-          <leafValues>
-            2.2191530466079712e-01 -8.9730821549892426e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 553 1.7957370728254318e-02</internalNodes>
-          <leafValues>
-            -9.2552073299884796e-02 2.5006940960884094e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 554 -4.0468379855155945e-01</internalNodes>
-          <leafValues>
-            1.8231350183486938e-01 -1.1424650251865387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 555 -1.2040740251541138e-01</internalNodes>
-          <leafValues>
-            4.0144130587577820e-01 -4.9775429069995880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 556 1.2747700512409210e-01</internalNodes>
-          <leafValues>
-            2.8634460642933846e-02 -3.6931669712066650e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 557 -2.1081299928482622e-04</internalNodes>
-          <leafValues>
-            1.0899789631366730e-01 -1.8358060717582703e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 558 2.0266290754079819e-02</internalNodes>
-          <leafValues>
-            -1.1471740156412125e-01 2.3657630383968353e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 559 -9.3857832252979279e-02</internalNodes>
-          <leafValues>
-            -4.4467198848724365e-01 4.6323359012603760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 560 -3.9089050143957138e-02</internalNodes>
-          <leafValues>
-            9.0057179331779480e-02 -2.4328909814357758e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 561 1.1693879961967468e-02</internalNodes>
-          <leafValues>
-            -1.3434140384197235e-01 1.5598419308662415e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 562 -2.3392560251522809e-04</internalNodes>
-          <leafValues>
-            1.0660090297460556e-01 -1.5031139552593231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 563 7.6654240489006042e-02</internalNodes>
-          <leafValues>
-            4.6630710363388062e-02 -4.4846519827842712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 564 -6.6552842035889626e-03</internalNodes>
-          <leafValues>
-            2.9908859729766846e-01 -1.4496180415153503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 565 6.4779841341078281e-03</internalNodes>
-          <leafValues>
-            5.7015229016542435e-02 -3.5907289385795593e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 566 -7.7762663364410400e-02</internalNodes>
-          <leafValues>
-            5.0252002477645874e-01 -4.3528381735086441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 567 -1.3975870609283447e-01</internalNodes>
-          <leafValues>
-            3.4654599428176880e-01 -5.2005261182785034e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 568 -1.2759920209646225e-02</internalNodes>
-          <leafValues>
-            -6.6591322422027588e-01 2.0983880385756493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 569 1.1362520046532154e-02</internalNodes>
-          <leafValues>
-            2.2282190620899200e-02 -6.6851091384887695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 570 -2.2312329709529877e-01</internalNodes>
-          <leafValues>
-            -4.6105810999870300e-01 6.2970318831503391e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 571 2.2931410057935864e-04</internalNodes>
-          <leafValues>
-            -2.1111820638179779e-01 8.1771172583103180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 572 -6.0226261615753174e-02</internalNodes>
-          <leafValues>
-            3.2546809315681458e-01 -2.1682400256395340e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 573 3.0173239065334201e-04</internalNodes>
-          <leafValues>
-            -3.2320269942283630e-01 7.0820853114128113e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 574 -2.6154008810408413e-04</internalNodes>
-          <leafValues>
-            6.8223357200622559e-02 -1.0242590308189392e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 575 -7.4847848154604435e-03</internalNodes>
-          <leafValues>
-            2.2404240071773529e-01 -8.1188187003135681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 576 -1.8517110496759415e-02</internalNodes>
-          <leafValues>
-            -5.5280369520187378e-01 3.5704329609870911e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 577 8.1348747014999390e-02</internalNodes>
-          <leafValues>
-            -7.7756702899932861e-02 2.3968160152435303e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 578 -3.1357801053673029e-03</internalNodes>
-          <leafValues>
-            -3.5508909821510315e-01 3.3410448580980301e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 579 -2.6459500077180564e-04</internalNodes>
-          <leafValues>
-            1.0398519784212112e-01 -1.5494589507579803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 580 -7.7518890611827374e-03</internalNodes>
-          <leafValues>
-            3.0721589922904968e-01 -1.4710199832916260e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 581 -1.8430210184305906e-03</internalNodes>
-          <leafValues>
-            -3.9274838566780090e-01 4.6835970133543015e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 582 2.1122969337739050e-04</internalNodes>
-          <leafValues>
-            -2.1824510395526886e-01 1.2243290245532990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 583 2.2105030075181276e-04</internalNodes>
-          <leafValues>
-            -1.8396340310573578e-01 8.9410737156867981e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 584 -1.5965649485588074e-01</internalNodes>
-          <leafValues>
-            9.6163272857666016e-02 -8.5151679813861847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 585 3.0088219791650772e-02</internalNodes>
-          <leafValues>
-            -3.9590418338775635e-02 4.7149899601936340e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 586 -6.0294209979474545e-03</internalNodes>
-          <leafValues>
-            1.9853250682353973e-01 -1.0366839915513992e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 587 1.2534939683973789e-02</internalNodes>
-          <leafValues>
-            -4.6515099704265594e-02 3.7293449044227600e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 588 2.4954970926046371e-02</internalNodes>
-          <leafValues>
-            3.7810660898685455e-02 -2.1269759535789490e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 589 9.9147337675094604e-01</internalNodes>
-          <leafValues>
-            4.0480270981788635e-02 -4.2342019081115723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 590 5.2983271889388561e-03</internalNodes>
-          <leafValues>
-            8.7228961288928986e-02 -2.7821278572082520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 591 1.9360490143299103e-01</internalNodes>
-          <leafValues>
-            -9.5363870263099670e-02 1.9188280403614044e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 592 -7.6572492718696594e-02</internalNodes>
-          <leafValues>
-            6.6240328550338745e-01 -4.9499049782752991e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 593 2.8880339115858078e-02</internalNodes>
-          <leafValues>
-            -5.7680319994688034e-02 3.2165309786796570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 594 -1.4741529710590839e-02</internalNodes>
-          <leafValues>
-            -8.6476959288120270e-02 3.2484710216522217e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 595 2.1824369207024574e-02</internalNodes>
-          <leafValues>
-            5.7392548769712448e-02 -3.4417140483856201e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 596 -2.2812260687351227e-01</internalNodes>
-          <leafValues>
-            -5.2481979131698608e-01 6.9780298508703709e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 597 2.8111049532890320e-01</internalNodes>
-          <leafValues>
-            2.4345170706510544e-02 -6.4987301826477051e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 598 -2.2957239300012589e-02</internalNodes>
-          <leafValues>
-            -4.5815429091453552e-01 3.0206430703401566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 599 -6.0340039432048798e-02</internalNodes>
-          <leafValues>
-            4.6401140093803406e-01 -3.7225980311632156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 600 2.7569150552153587e-02</internalNodes>
-          <leafValues>
-            2.0976860076189041e-02 -6.9014948606491089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 601 2.6252120733261108e-04</internalNodes>
-          <leafValues>
-            -2.3853969573974609e-01 7.9771563410758972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 602 1.8969880416989326e-02</internalNodes>
-          <leafValues>
-            3.1024020165205002e-02 -2.7818429470062256e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 603 5.2282828092575073e-01</internalNodes>
-          <leafValues>
-            1.7105970531702042e-02 -7.9434311389923096e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 604 -3.1894691288471222e-02</internalNodes>
-          <leafValues>
-            2.7892321348190308e-01 -5.4069779813289642e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 605 1.5336290001869202e-02</internalNodes>
-          <leafValues>
-            4.7054331749677658e-02 -3.6111220717430115e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 606 -4.1970831155776978e-01</internalNodes>
-          <leafValues>
-            -5.9871810674667358e-01 1.1463830247521400e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 607 -6.7562819458544254e-03</internalNodes>
-          <leafValues>
-            2.2962200641632080e-01 -6.4722940325737000e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 608 9.8668280988931656e-03</internalNodes>
-          <leafValues>
-            -3.7844020873308182e-02 3.3086231350898743e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 609 -2.1733099594712257e-02</internalNodes>
-          <leafValues>
-            1.0951089859008789e-01 -1.4006720483303070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 610 3.0340809375047684e-02</internalNodes>
-          <leafValues>
-            5.3396178409457207e-03 -6.6312831640243530e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 611 2.7025368763133883e-04</internalNodes>
-          <leafValues>
-            -1.5671209990978241e-01 9.8605990409851074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 612 -4.1527550667524338e-02</internalNodes>
-          <leafValues>
-            2.3302739858627319e-01 -6.2329120934009552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 613 -6.1723008751869202e-02</internalNodes>
-          <leafValues>
-            2.4158929288387299e-01 -9.5591858029365540e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 614 5.9920018538832664e-03</internalNodes>
-          <leafValues>
-            6.7654989659786224e-02 -3.3483079075813293e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 615 1.0782639682292938e-01</internalNodes>
-          <leafValues>
-            -3.6601308733224869e-02 4.4913661479949951e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 616 1.6222659498453140e-02</internalNodes>
-          <leafValues>
-            1.7488269135355949e-02 -5.8311402797698975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 617 -1.0378819890320301e-02</internalNodes>
-          <leafValues>
-            -3.5658320784568787e-01 3.7005800753831863e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 618 -8.4412395954132080e-03</internalNodes>
-          <leafValues>
-            1.4305970072746277e-01 -5.0731118768453598e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 619 1.4600029587745667e-01</internalNodes>
-          <leafValues>
-            3.2515849918127060e-02 -4.5058611035346985e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 620 9.8124182224273682e-01</internalNodes>
-          <leafValues>
-            4.8845731653273106e-03 -6.5059781074523926e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 621 -3.6866790056228638e-01</internalNodes>
-          <leafValues>
-            -7.3445898294448853e-01 1.8663220107555389e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>105</maxWeakCount>
-      <stageThreshold>-1.4267690181732178e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 622 -3.5519830882549286e-02</internalNodes>
-          <leafValues>
-            1.6178520023822784e-01 -3.5573509335517883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 623 9.1728484258055687e-03</internalNodes>
-          <leafValues>
-            -1.2603040039539337e-01 1.0709279775619507e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 624 2.2142989933490753e-01</internalNodes>
-          <leafValues>
-            -7.7310669439611956e-06 -1.2306490478515625e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 625 1.1212819814682007e-01</internalNodes>
-          <leafValues>
-            9.6115162596106529e-03 -5.5913168191909790e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 626 2.1457310765981674e-02</internalNodes>
-          <leafValues>
-            -3.3965739607810974e-01 1.6609320044517517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 627 -1.2972610071301460e-02</internalNodes>
-          <leafValues>
-            2.3398900032043457e-01 -1.6110679507255554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 628 -6.6818781197071075e-03</internalNodes>
-          <leafValues>
-            1.3475750386714935e-01 -2.7443009614944458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 629 2.5116768665611744e-04</internalNodes>
-          <leafValues>
-            -2.6400479674339294e-01 1.1184839904308319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 630 1.0441780090332031e-01</internalNodes>
-          <leafValues>
-            -2.7721598744392395e-01 1.2263719737529755e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 631 -1.0307639837265015e-02</internalNodes>
-          <leafValues>
-            4.3872699141502380e-01 -2.2572900354862213e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 632 -6.5756477415561676e-02</internalNodes>
-          <leafValues>
-            -5.4897660017013550e-01 4.4870328158140182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 633 -2.3242520168423653e-02</internalNodes>
-          <leafValues>
-            1.6870069503784180e-01 -2.0397870242595673e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 634 5.6840728968381882e-02</internalNodes>
-          <leafValues>
-            -3.5381639003753662e-01 7.3760658502578735e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 635 -2.8088671388104558e-04</internalNodes>
-          <leafValues>
-            8.4769926965236664e-02 -8.9089483022689819e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 636 -2.8891719877719879e-02</internalNodes>
-          <leafValues>
-            -5.3877258300781250e-01 4.8199739307165146e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 637 4.8813000321388245e-03</internalNodes>
-          <leafValues>
-            -1.0961809754371643e-01 2.2785060107707977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 638 -2.2791069932281971e-04</internalNodes>
-          <leafValues>
-            1.5159299969673157e-01 -1.5361729264259338e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 639 1.7224539071321487e-02</internalNodes>
-          <leafValues>
-            2.6369249448180199e-02 -3.9274901151657104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 640 1.9276510924100876e-02</internalNodes>
-          <leafValues>
-            3.9136718958616257e-02 -5.3360277414321899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 641 -3.5349979996681213e-02</internalNodes>
-          <leafValues>
-            1.6892379522323608e-01 -4.4725980609655380e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 642 -2.4690220016054809e-04</internalNodes>
-          <leafValues>
-            9.7651146352291107e-02 -2.2523930668830872e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 643 -2.3808020341675729e-04</internalNodes>
-          <leafValues>
-            9.1873168945312500e-02 -2.1025580167770386e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 644 2.2629360319115222e-04</internalNodes>
-          <leafValues>
-            -1.3016159832477570e-01 1.7468020319938660e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 645 -6.8512886762619019e-02</internalNodes>
-          <leafValues>
-            2.2338220477104187e-01 -2.0693479478359222e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 646 -2.2960439324378967e-02</internalNodes>
-          <leafValues>
-            -4.1528278589248657e-01 5.5889990180730820e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 647 1.2331800162792206e-01</internalNodes>
-          <leafValues>
-            -7.2814382612705231e-02 3.2672670483589172e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 648 -1.5494500100612640e-01</internalNodes>
-          <leafValues>
-            -7.8871738910675049e-01 3.1006429344415665e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 649 -3.1475860625505447e-02</internalNodes>
-          <leafValues>
-            -5.5896019935607910e-01 3.1761251389980316e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 650 -2.5482099503278732e-02</internalNodes>
-          <leafValues>
-            2.5390678644180298e-01 -8.7028287351131439e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 651 -2.5384381297044456e-04</internalNodes>
-          <leafValues>
-            5.3705450147390366e-02 -1.2352950125932693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 652 -2.7292590588331223e-02</internalNodes>
-          <leafValues>
-            -5.1358467340469360e-01 3.6035798490047455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 653 5.0733588635921478e-02</internalNodes>
-          <leafValues>
-            -5.1689028739929199e-02 3.9950218796730042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 654 1.0531689971685410e-01</internalNodes>
-          <leafValues>
-            3.4946650266647339e-02 -5.7199978828430176e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 655 7.6800240203738213e-03</internalNodes>
-          <leafValues>
-            4.9117371439933777e-02 -4.7948908805847168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 656 -2.7255711029283702e-04</internalNodes>
-          <leafValues>
-            9.2809818685054779e-02 -1.9553889334201813e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 657 -1.0534330271184444e-02</internalNodes>
-          <leafValues>
-            -5.1635378599166870e-01 3.9697758853435516e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 658 -1.4953180216252804e-02</internalNodes>
-          <leafValues>
-            1.6262400150299072e-01 -1.2715120613574982e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 659 -6.0432821512222290e-02</internalNodes>
-          <leafValues>
-            1.6455219686031342e-01 -3.7964299321174622e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 660 -1.3054289855062962e-02</internalNodes>
-          <leafValues>
-            -6.0740822553634644e-01 3.1696751713752747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 661 1.6081769764423370e-01</internalNodes>
-          <leafValues>
-            -6.5205618739128113e-04 -4.5857870578765869e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 662 3.4118819981813431e-02</internalNodes>
-          <leafValues>
-            -1.1646260321140289e-01 1.5788400173187256e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 663 3.7732940167188644e-02</internalNodes>
-          <leafValues>
-            -3.8753949105739594e-02 1.3495290279388428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 664 3.0711879953742027e-02</internalNodes>
-          <leafValues>
-            4.7742258757352829e-02 -4.3035370111465454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 665 -3.7949949502944946e-02</internalNodes>
-          <leafValues>
-            1.1755629628896713e-01 -1.4889590442180634e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 666 2.9360290616750717e-02</internalNodes>
-          <leafValues>
-            -7.5253017246723175e-02 2.9323920607566833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 667 2.5319901108741760e-01</internalNodes>
-          <leafValues>
-            -1.6658699512481689e-01 8.9499808847904205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 668 1.2959289550781250e-01</internalNodes>
-          <leafValues>
-            -5.5784460157155991e-02 3.4918808937072754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 669 -8.8244248181581497e-03</internalNodes>
-          <leafValues>
-            2.7902889251708984e-01 -6.8206131458282471e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 670 7.8791379928588867e-02</internalNodes>
-          <leafValues>
-            -1.5620680153369904e-01 1.1304420232772827e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 671 -1.2836029753088951e-02</internalNodes>
-          <leafValues>
-            -2.3410409688949585e-01 6.8805016577243805e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 672 -7.9522699117660522e-02</internalNodes>
-          <leafValues>
-            -2.5314009189605713e-01 6.0897290706634521e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 673 3.9636820554733276e-02</internalNodes>
-          <leafValues>
-            -2.6448011398315430e-01 8.2383483648300171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 674 -2.4699120223522186e-01</internalNodes>
-          <leafValues>
-            3.5435560345649719e-01 -6.6888548433780670e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 675 -2.2949569392949343e-04</internalNodes>
-          <leafValues>
-            1.1360239982604980e-01 -1.4772799611091614e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 676 -1.3312259688973427e-02</internalNodes>
-          <leafValues>
-            3.1586068868637085e-01 -5.5901419371366501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 677 1.3203780166804790e-02</internalNodes>
-          <leafValues>
-            3.1486440449953079e-02 -2.6412960886955261e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 678 -1.2269199825823307e-02</internalNodes>
-          <leafValues>
-            -5.9234237670898438e-01 2.4248689413070679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 679 -1.8059220165014267e-02</internalNodes>
-          <leafValues>
-            3.3865630626678467e-01 -8.0696828663349152e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 680 2.5429509696550667e-04</internalNodes>
-          <leafValues>
-            -2.2284899652004242e-01 7.4211597442626953e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 681 7.8134778887033463e-03</internalNodes>
-          <leafValues>
-            -4.2979419231414795e-02 1.5614709258079529e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 682 -1.0979229584336281e-02</internalNodes>
-          <leafValues>
-            2.7910730242729187e-01 -5.6510798633098602e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 683 -1.7990529537200928e-02</internalNodes>
-          <leafValues>
-            -6.0465961694717407e-01 3.1155569478869438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 684 1.1254849843680859e-02</internalNodes>
-          <leafValues>
-            4.8717640340328217e-02 -3.3757600188255310e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 685 -2.6132029597647488e-04</internalNodes>
-          <leafValues>
-            1.0562919825315475e-01 -1.3438390195369720e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 686 -5.1210080273449421e-03</internalNodes>
-          <leafValues>
-            -5.5222177505493164e-01 2.6566710323095322e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 687 2.4672409519553185e-02</internalNodes>
-          <leafValues>
-            9.7258696332573891e-03 -6.1605077981948853e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 688 -6.7694962024688721e-02</internalNodes>
-          <leafValues>
-            -7.3660212755203247e-01 1.9528219476342201e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 689 -2.8008190914988518e-02</internalNodes>
-          <leafValues>
-            -5.0814652442932129e-01 1.0170410387217999e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 690 -7.1907560341060162e-03</internalNodes>
-          <leafValues>
-            1.4633940160274506e-01 -1.0106740146875381e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 691 -1.5178619883954525e-02</internalNodes>
-          <leafValues>
-            2.2530260682106018e-01 -7.1203649044036865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 692 -1.7735399305820465e-02</internalNodes>
-          <leafValues>
-            1.8737579882144928e-01 -9.3150086700916290e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 693 2.6827311376109719e-04</internalNodes>
-          <leafValues>
-            -5.0975449383258820e-02 7.8092053532600403e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 694 1.5329830348491669e-02</internalNodes>
-          <leafValues>
-            3.1708821654319763e-02 -4.8529189825057983e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 695 2.8564469539560378e-04</internalNodes>
-          <leafValues>
-            -7.4729010462760925e-02 7.3530480265617371e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 696 -2.2120429202914238e-02</internalNodes>
-          <leafValues>
-            2.7287200093269348e-01 -6.4062908291816711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 697 -2.1887499315198511e-04</internalNodes>
-          <leafValues>
-            6.3031002879142761e-02 -9.6845053136348724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 698 -2.1083210594952106e-04</internalNodes>
-          <leafValues>
-            1.0389020293951035e-01 -1.6525639593601227e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 699 -6.2754601240158081e-03</internalNodes>
-          <leafValues>
-            2.4225880205631256e-01 -7.5907923281192780e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 700 -2.3757809773087502e-02</internalNodes>
-          <leafValues>
-            -3.8318058848381042e-01 4.0133509784936905e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 701 1.1325069703161716e-02</internalNodes>
-          <leafValues>
-            -3.5525530576705933e-02 2.1164399385452271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 702 -7.2220653295516968e-02</internalNodes>
-          <leafValues>
-            -6.2676852941513062e-01 2.2165909409523010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 703 -4.5017611235380173e-02</internalNodes>
-          <leafValues>
-            -7.7151697874069214e-01 7.7348982449620962e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 704 -6.2360418960452080e-03</internalNodes>
-          <leafValues>
-            2.6456978917121887e-01 -5.3363479673862457e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 705 -2.5355370598845184e-04</internalNodes>
-          <leafValues>
-            4.0398750454187393e-02 -1.5795269608497620e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 706 -4.6271558851003647e-02</internalNodes>
-          <leafValues>
-            -4.0787988901138306e-01 3.8921471685171127e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 707 -1.1218659579753876e-02</internalNodes>
-          <leafValues>
-            7.4395492672920227e-02 -1.3349680602550507e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 708 4.2274970561265945e-02</internalNodes>
-          <leafValues>
-            3.7559799849987030e-02 -3.5659119486808777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 709 7.1554719470441341e-03</internalNodes>
-          <leafValues>
-            3.2838869839906693e-02 -3.9694920182228088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 710 2.8899949789047241e-01</internalNodes>
-          <leafValues>
-            2.1863840520381927e-02 -5.6416589021682739e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 711 -1.9863760098814964e-02</internalNodes>
-          <leafValues>
-            2.2337679564952850e-01 -3.1122479587793350e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 712 2.0147679373621941e-02</internalNodes>
-          <leafValues>
-            -1.3183030486106873e-01 1.0647880285978317e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 713 2.1021129563450813e-02</internalNodes>
-          <leafValues>
-            -2.7941459789872169e-02 1.4968049526214600e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 714 9.0801073238253593e-03</internalNodes>
-          <leafValues>
-            -7.1428433060646057e-02 2.1569679677486420e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 715 -2.1075110882520676e-02</internalNodes>
-          <leafValues>
-            -6.3554888963699341e-01 1.4859089627861977e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 716 -2.6902920217253268e-04</internalNodes>
-          <leafValues>
-            1.0863730311393738e-01 -1.5047989785671234e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 717 -3.1716268858872354e-04</internalNodes>
-          <leafValues>
-            8.5656993091106415e-02 -1.2388020008802414e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 718 2.5432288646697998e-01</internalNodes>
-          <leafValues>
-            -9.9662892520427704e-02 1.3793380558490753e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 719 3.5156611353158951e-02</internalNodes>
-          <leafValues>
-            2.7607070282101631e-02 -3.0855798721313477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 720 -3.1319420668296516e-04</internalNodes>
-          <leafValues>
-            9.3362413346767426e-02 -1.5827369689941406e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 721 2.2236700169742107e-04</internalNodes>
-          <leafValues>
-            -2.6805540546774864e-02 4.1680369526147842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 722 -2.2599179646931589e-04</internalNodes>
-          <leafValues>
-            1.0316269844770432e-01 -1.5537780523300171e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 723 1.3176410458981991e-02</internalNodes>
-          <leafValues>
-            4.8204571008682251e-02 -1.6340050101280212e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 724 -3.6689240485429764e-02</internalNodes>
-          <leafValues>
-            -5.6660032272338867e-01 2.1624589338898659e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 725 2.5496680289506912e-02</internalNodes>
-          <leafValues>
-            -4.6478029340505600e-02 1.2218680232763290e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 726 1.2762719765305519e-02</internalNodes>
-          <leafValues>
-            -1.1676809936761856e-01 1.2351939827203751e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>133</maxWeakCount>
-      <stageThreshold>-1.4611779451370239e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 727 -1.2680550105869770e-02</internalNodes>
-          <leafValues>
-            2.1946400403976440e-01 -3.0342951416969299e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 728 2.0277220010757446e-01</internalNodes>
-          <leafValues>
-            -3.5292989015579224e-01 8.1888578832149506e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 729 -4.2049158364534378e-02</internalNodes>
-          <leafValues>
-            2.4808460474014282e-01 -1.7897559702396393e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 730 3.7381589412689209e-02</internalNodes>
-          <leafValues>
-            -1.0807169973850250e-01 1.3556699454784393e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 731 8.9879266917705536e-02</internalNodes>
-          <leafValues>
-            -3.1441110372543335e-01 1.1649979650974274e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 732 -2.2849619563203305e-04</internalNodes>
-          <leafValues>
-            1.2044479697942734e-01 -1.5876269340515137e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 733 1.9768830388784409e-02</internalNodes>
-          <leafValues>
-            -1.0055690258741379e-01 3.5981228947639465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 734 -4.6854061074554920e-03</internalNodes>
-          <leafValues>
-            -2.2157269716262817e-01 9.4031356275081635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 735 -2.6115920627489686e-04</internalNodes>
-          <leafValues>
-            7.3836371302604675e-02 -2.8550630807876587e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 736 5.3100939840078354e-02</internalNodes>
-          <leafValues>
-            -5.6667480617761612e-02 2.3984040319919586e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 737 -1.0975299665005878e-04</internalNodes>
-          <leafValues>
-            1.1553339660167694e-01 -2.1104870736598969e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 738 -3.0807471275329590e-01</internalNodes>
-          <leafValues>
-            -4.9161750078201294e-01 5.2133060991764069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 739 9.5257293432950974e-03</internalNodes>
-          <leafValues>
-            -9.3975499272346497e-02 3.0003049969673157e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 740 4.7906499356031418e-02</internalNodes>
-          <leafValues>
-            5.1006641238927841e-02 -4.5330038666725159e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 741 8.1151742488145828e-03</internalNodes>
-          <leafValues>
-            5.3590521216392517e-02 -3.8580769300460815e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 742 1.1523259803652763e-02</internalNodes>
-          <leafValues>
-            -2.2294430434703827e-01 9.0755969285964966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 743 -5.7037029415369034e-02</internalNodes>
-          <leafValues>
-            1.1402489989995956e-01 -1.7938560247421265e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 744 -9.6343189477920532e-02</internalNodes>
-          <leafValues>
-            2.5996109843254089e-01 -6.7842021584510803e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 745 5.3852960467338562e-02</internalNodes>
-          <leafValues>
-            -8.2555137574672699e-02 3.7209570407867432e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 746 3.2167631434276700e-04</internalNodes>
-          <leafValues>
-            -3.5077500343322754e-01 8.2111962139606476e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 747 -5.6490749120712280e-02</internalNodes>
-          <leafValues>
-            -3.2298418879508972e-01 5.3876388818025589e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 748 -2.7906559989787638e-04</internalNodes>
-          <leafValues>
-            1.5583470463752747e-01 -2.5733149051666260e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 749 -3.8215760141611099e-02</internalNodes>
-          <leafValues>
-            -4.8694840073585510e-01 3.7561759352684021e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 750 7.6500251889228821e-03</internalNodes>
-          <leafValues>
-            -6.2206029891967773e-02 2.7779549360275269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 751 2.2391989827156067e-02</internalNodes>
-          <leafValues>
-            5.6726191192865372e-02 -3.0967220664024353e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 752 -2.8860570862889290e-02</internalNodes>
-          <leafValues>
-            2.1716390550136566e-01 -5.9519559144973755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 753 6.9423289969563484e-03</internalNodes>
-          <leafValues>
-            -5.1059830933809280e-02 4.0468141436576843e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 754 1.4006449840962887e-02</internalNodes>
-          <leafValues>
-            4.9552779644727707e-02 -1.9979630410671234e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 755 2.7382301050238311e-04</internalNodes>
-          <leafValues>
-            -3.0520731210708618e-01 6.9563962519168854e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 756 -1.5174309723079205e-02</internalNodes>
-          <leafValues>
-            -3.8258409500122070e-01 2.1974159404635429e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 757 -1.9322619482409209e-04</internalNodes>
-          <leafValues>
-            1.1859290301799774e-01 -1.7502920329570770e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 758 -5.8987581729888916e-01</internalNodes>
-          <leafValues>
-            -6.4281332492828369e-01 1.7073450610041618e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 759 2.5915939477272332e-04</internalNodes>
-          <leafValues>
-            -2.3254489898681641e-01 6.4852282404899597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 760 5.7087451219558716e-01</internalNodes>
-          <leafValues>
-            7.8144967555999756e-03 -6.5341699123382568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 761 8.8011100888252258e-02</internalNodes>
-          <leafValues>
-            -6.5030708909034729e-02 2.5226131081581116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 762 -1.1537440121173859e-02</internalNodes>
-          <leafValues>
-            2.5898069143295288e-02 -4.8579961061477661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 763 -4.6533951163291931e-01</internalNodes>
-          <leafValues>
-            -4.9289149045944214e-01 3.6602970212697983e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 764 6.1871910095214844e-01</internalNodes>
-          <leafValues>
-            -2.2136380430310965e-03 -7.4808281660079956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 765 5.3780531883239746e-01</internalNodes>
-          <leafValues>
-            2.9165390878915787e-02 -5.1737898588180542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 766 2.5194421410560608e-01</internalNodes>
-          <leafValues>
-            -2.8567619621753693e-02 4.2214900255203247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 767 2.7490830048918724e-02</internalNodes>
-          <leafValues>
-            -1.2498860061168671e-01 1.5622389316558838e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 768 1.8063139915466309e-01</internalNodes>
-          <leafValues>
-            -1.6325049102306366e-02 1.3234290480613708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 769 1.7386689782142639e-01</internalNodes>
-          <leafValues>
-            -4.8918601125478745e-02 4.1473680734634399e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 770 -4.9942150712013245e-02</internalNodes>
-          <leafValues>
-            -4.7142308950424194e-01 3.7892449647188187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 771 8.2021749019622803e-01</internalNodes>
-          <leafValues>
-            2.3966159671545029e-02 -5.4350042343139648e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 772 2.5848631048575044e-04</internalNodes>
-          <leafValues>
-            -1.0571960359811783e-01 4.8736020922660828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 773 -8.0050835385918617e-03</internalNodes>
-          <leafValues>
-            1.9601759314537048e-01 -7.0734307169914246e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 774 3.1249779462814331e-01</internalNodes>
-          <leafValues>
-            -3.4612491726875305e-02 2.0727220177650452e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 775 1.6595009714365005e-02</internalNodes>
-          <leafValues>
-            -5.5334791541099548e-02 3.2362830638885498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 776 6.6122892312705517e-03</internalNodes>
-          <leafValues>
-            6.4811848104000092e-02 -1.0377670079469681e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 777 -5.5534038692712784e-02</internalNodes>
-          <leafValues>
-            9.1052807867527008e-02 -1.9427829980850220e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 778 -4.2657270096242428e-03</internalNodes>
-          <leafValues>
-            -3.7216100096702576e-01 3.5128928720951080e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 779 -7.1315821260213852e-03</internalNodes>
-          <leafValues>
-            -4.0014240145683289e-01 3.6378540098667145e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 780 -1.5466910600662231e-01</internalNodes>
-          <leafValues>
-            2.2419099509716034e-01 -6.4514227211475372e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 781 -5.6720200926065445e-02</internalNodes>
-          <leafValues>
-            -2.7846959233283997e-01 6.5108783543109894e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 782 -1.1758569628000259e-02</internalNodes>
-          <leafValues>
-            1.9500179588794708e-01 -8.0316439270973206e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 783 6.2118507921695709e-03</internalNodes>
-          <leafValues>
-            4.8729728907346725e-02 -2.9427778720855713e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 784 3.1163550913333893e-02</internalNodes>
-          <leafValues>
-            -3.9649609476327896e-02 1.0872240364551544e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 785 -1.8731789663434029e-02</internalNodes>
-          <leafValues>
-            2.5498849153518677e-01 -5.7060658931732178e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 786 -1.9629219605121762e-04</internalNodes>
-          <leafValues>
-            6.0982689261436462e-02 -1.0565000027418137e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 787 -1.1253469623625278e-02</internalNodes>
-          <leafValues>
-            2.4102079868316650e-01 -5.4933529347181320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 788 -1.8418630585074425e-02</internalNodes>
-          <leafValues>
-            -2.1543020009994507e-01 4.1859380900859833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 789 -2.6979470625519753e-02</internalNodes>
-          <leafValues>
-            -4.4044798612594604e-01 2.8259810060262680e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 790 -3.1812430825084448e-04</internalNodes>
-          <leafValues>
-            1.1263129860162735e-01 -1.5612870454788208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 791 -1.4269050210714340e-02</internalNodes>
-          <leafValues>
-            -2.2047680616378784e-01 6.3962973654270172e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 792 4.1097350418567657e-02</internalNodes>
-          <leafValues>
-            -1.4404140412807465e-02 4.5113658905029297e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 793 3.4184981137514114e-02</internalNodes>
-          <leafValues>
-            -2.3943960666656494e-02 5.3346621990203857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 794 -5.5098719894886017e-02</internalNodes>
-          <leafValues>
-            -4.4178238511085510e-01 1.4475960284471512e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 795 1.5465440228581429e-02</internalNodes>
-          <leafValues>
-            1.8221130594611168e-02 -6.2355637550354004e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 796 5.3496570326387882e-03</internalNodes>
-          <leafValues>
-            -1.3820479810237885e-01 2.1783879399299622e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 797 4.9904521554708481e-02</internalNodes>
-          <leafValues>
-            2.7466949075460434e-02 -5.2732229232788086e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 798 -5.7295501232147217e-01</internalNodes>
-          <leafValues>
-            -8.2962232828140259e-01 5.5375328520312905e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 799 2.4806600064039230e-02</internalNodes>
-          <leafValues>
-            1.0250580310821533e-01 -1.4922580122947693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 800 8.6801443248987198e-03</internalNodes>
-          <leafValues>
-            -7.5809933245182037e-02 2.3664160072803497e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 801 -4.2660851031541824e-02</internalNodes>
-          <leafValues>
-            -4.8471969366073608e-01 3.0310539528727531e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 802 2.7838671207427979e-01</internalNodes>
-          <leafValues>
-            -3.0852980911731720e-02 4.8810139298439026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 803 -1.0872329585254192e-02</internalNodes>
-          <leafValues>
-            -2.7875050902366638e-01 4.6971909701824188e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 804 2.8905799263156950e-04</internalNodes>
-          <leafValues>
-            -9.7713083028793335e-02 1.0453590005636215e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 805 8.3399498835206032e-03</internalNodes>
-          <leafValues>
-            -5.6789729744195938e-02 2.1990999579429626e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 806 -4.5025609433650970e-03</internalNodes>
-          <leafValues>
-            1.6819390654563904e-01 -4.7182761132717133e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 807 9.1141611337661743e-03</internalNodes>
-          <leafValues>
-            -5.3859930485486984e-02 2.4945180118083954e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 808 3.3482279628515244e-02</internalNodes>
-          <leafValues>
-            3.9698779582977295e-02 -1.7840039730072021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 809 -1.6845509409904480e-02</internalNodes>
-          <leafValues>
-            -2.6923018693923950e-01 5.5552460253238678e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 810 4.3367617763578892e-03</internalNodes>
-          <leafValues>
-            4.5756489038467407e-02 -2.2537319362163544e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 811 -1.2159480154514313e-01</internalNodes>
-          <leafValues>
-            6.1395758390426636e-01 -2.2958070039749146e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 812 -1.8687279894948006e-02</internalNodes>
-          <leafValues>
-            -3.6422011256217957e-01 2.3655790835618973e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 813 -2.9130980372428894e-01</internalNodes>
-          <leafValues>
-            -6.2919682264328003e-01 1.7662050202488899e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 814 -3.0170090030878782e-04</internalNodes>
-          <leafValues>
-            7.9020306468009949e-02 -7.3823727667331696e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 815 2.3048979346640408e-04</internalNodes>
-          <leafValues>
-            -1.1339560151100159e-01 1.2542079389095306e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 816 3.1774640083312988e-02</internalNodes>
-          <leafValues>
-            2.4091020226478577e-02 -2.3947270214557648e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 817 -6.7688718438148499e-02</internalNodes>
-          <leafValues>
-            2.0689809322357178e-01 -6.2361769378185272e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 818 3.9785809814929962e-02</internalNodes>
-          <leafValues>
-            1.3510519638657570e-02 -6.3863390684127808e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 819 -2.0020859315991402e-02</internalNodes>
-          <leafValues>
-            -1.9689780473709106e-01 6.7728810012340546e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 820 9.4509087502956390e-02</internalNodes>
-          <leafValues>
-            1.8017550930380821e-02 -6.4405238628387451e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 821 6.2699890695512295e-03</internalNodes>
-          <leafValues>
-            3.1439051032066345e-02 -3.6409479379653931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 822 -1.3047580420970917e-01</internalNodes>
-          <leafValues>
-            -5.4852211475372314e-01 5.9488588012754917e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 823 -2.7846038574352860e-04</internalNodes>
-          <leafValues>
-            8.6191080510616302e-02 -1.2902879714965820e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 824 -2.1837399899959564e-01</internalNodes>
-          <leafValues>
-            1.2890920042991638e-01 -5.6212250143289566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 825 1.8505910038948059e-01</internalNodes>
-          <leafValues>
-            -4.7193650156259537e-02 2.9544681310653687e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 826 1.6650650650262833e-02</internalNodes>
-          <leafValues>
-            -2.2515360265970230e-02 1.7831179499626160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 827 -2.3978849640116096e-04</internalNodes>
-          <leafValues>
-            7.9010076820850372e-02 -1.5592630207538605e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 828 5.8377008885145187e-02</internalNodes>
-          <leafValues>
-            -2.4694869294762611e-02 3.0555808544158936e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 829 -5.8459650725126266e-02</internalNodes>
-          <leafValues>
-            1.4798119664192200e-01 -8.9378252625465393e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 830 -1.8526349216699600e-02</internalNodes>
-          <leafValues>
-            9.2129699885845184e-02 -8.9743256568908691e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 831 8.5416868329048157e-02</internalNodes>
-          <leafValues>
-            -2.6397809386253357e-02 4.8908311128616333e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 832 -1.2663799524307251e-01</internalNodes>
-          <leafValues>
-            4.7291919589042664e-02 -6.7399129271507263e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 833 -1.9496470689773560e-01</internalNodes>
-          <leafValues>
-            2.0691619813442230e-01 -6.1493389308452606e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 834 1.2037090025842190e-02</internalNodes>
-          <leafValues>
-            2.9463229700922966e-02 -6.0213238000869751e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 835 -2.7944779139943421e-04</internalNodes>
-          <leafValues>
-            8.1097796559333801e-02 -1.3745759427547455e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 836 9.7354073077440262e-03</internalNodes>
-          <leafValues>
-            4.1789319366216660e-02 -1.6302450001239777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 837 7.4306771159172058e-02</internalNodes>
-          <leafValues>
-            -1.4938850700855255e-01 7.8325100243091583e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 838 1.4471059665083885e-02</internalNodes>
-          <leafValues>
-            -2.6114590466022491e-02 1.4204360544681549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 839 1.1855339631438255e-02</internalNodes>
-          <leafValues>
-            -5.1672890782356262e-02 2.6997640728950500e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 840 2.1346539258956909e-02</internalNodes>
-          <leafValues>
-            -3.3866148442029953e-02 2.3027729988098145e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 841 -4.9045171588659286e-02</internalNodes>
-          <leafValues>
-            2.6968359947204590e-01 -5.4896000772714615e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 842 -3.5839710384607315e-02</internalNodes>
-          <leafValues>
-            -2.9921030998229980e-01 2.2631939500570297e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 843 -2.8866980574093759e-04</internalNodes>
-          <leafValues>
-            6.0674369335174561e-02 -2.0742860436439514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 844 -3.1162720173597336e-02</internalNodes>
-          <leafValues>
-            -2.4761599302291870e-01 5.0196789205074310e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 845 2.8370518703013659e-04</internalNodes>
-          <leafValues>
-            -1.9594480097293854e-01 5.6619770824909210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 846 -4.9621321260929108e-02</internalNodes>
-          <leafValues>
-            8.6675882339477539e-01 -3.4514570143073797e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 847 2.5349689531140029e-04</internalNodes>
-          <leafValues>
-            -1.3878400623798370e-01 8.2779698073863983e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 848 5.7967979460954666e-02</internalNodes>
-          <leafValues>
-            -3.9648130536079407e-02 1.8818469345569611e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 849 1.8554650247097015e-02</internalNodes>
-          <leafValues>
-            -1.9192659854888916e-01 6.3079372048377991e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 850 1.9615100696682930e-02</internalNodes>
-          <leafValues>
-            1.9008159637451172e-02 -1.9076730310916901e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 851 -3.3448349684476852e-02</internalNodes>
-          <leafValues>
-            -2.9587069153785706e-01 4.4361710548400879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 852 -7.5647640042006969e-03</internalNodes>
-          <leafValues>
-            2.5295218825340271e-01 -1.0904899984598160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 853 -1.8039060756564140e-02</internalNodes>
-          <leafValues>
-            2.8772088885307312e-01 -3.8489419966936111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 854 -1.9565680122468621e-04</internalNodes>
-          <leafValues>
-            9.4928987324237823e-02 -1.0129210352897644e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 855 -2.0392619073390961e-02</internalNodes>
-          <leafValues>
-            -8.0093258619308472e-01 1.3064869679510593e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 856 -9.0366922318935394e-02</internalNodes>
-          <leafValues>
-            3.9404270052909851e-01 -1.9085280597209930e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 857 -1.5236979722976685e-01</internalNodes>
-          <leafValues>
-            -6.4189267158508301e-01 1.7520749941468239e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 858 -7.7142767608165741e-02</internalNodes>
-          <leafValues>
-            3.0866208672523499e-01 -1.4502109959721565e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 859 -8.8981278240680695e-03</internalNodes>
-          <leafValues>
-            -3.3481961488723755e-01 3.0804989859461784e-02</leafValues></_></weakClassifiers></_></stages>
-  <features>
-    <_>
-      <rects>
-        <_>
-          3 1 15 2 -1.</_>
-        <_>
-          8 1 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 5 2 -1.</_>
-        <_>
-          17 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 5 -1.</_>
-        <_>
-          10 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 3 3 -1.</_>
-        <_>
-          17 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 20 2 -1.</_>
-        <_>
-          1 2 10 1 2.</_>
-        <_>
-          11 3 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 5 2 -1.</_>
-        <_>
-          16 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 1 2 -1.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 15 2 -1.</_>
-        <_>
-          8 1 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 5 2 -1.</_>
-        <_>
-          16 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 5 -1.</_>
-        <_>
-          10 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 2 -1.</_>
-        <_>
-          0 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 5 -1.</_>
-        <_>
-          10 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 5 -1.</_>
-        <_>
-          10 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 3 -1.</_>
-        <_>
-          9 0 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 3 4 -1.</_>
-        <_>
-          16 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 1 -1.</_>
-        <_>
-          4 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 5 -1.</_>
-        <_>
-          10 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 5 2 -1.</_>
-        <_>
-          0 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 1 2 -1.</_>
-        <_>
-          20 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 1 -1.</_>
-        <_>
-          5 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 5 2 -1.</_>
-        <_>
-          17 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 12 1 -1.</_>
-        <_>
-          8 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 1 2 -1.</_>
-        <_>
-          20 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 1 2 -1.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 16 2 -1.</_>
-        <_>
-          8 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 8 2 -1.</_>
-        <_>
-          7 3 4 1 2.</_>
-        <_>
-          11 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 2 -1.</_>
-        <_>
-          13 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 15 2 -1.</_>
-        <_>
-          8 1 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 1 2 -1.</_>
-        <_>
-          17 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 1 -1.</_>
-        <_>
-          5 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 5 -1.</_>
-        <_>
-          10 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 1 2 -1.</_>
-        <_>
-          5 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 2 2 2 -1.</_>
-        <_>
-          20 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 2 -1.</_>
-        <_>
-          1 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 1 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 10 2 -1.</_>
-        <_>
-          11 2 5 1 2.</_>
-        <_>
-          6 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 1 2 -1.</_>
-        <_>
-          4 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 3 2 2 -1.</_>
-        <_>
-          20 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 2 2 -1.</_>
-        <_>
-          20 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 20 4 -1.</_>
-        <_>
-          12 1 10 2 2.</_>
-        <_>
-          2 3 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 5 4 -1.</_>
-        <_>
-          1 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 12 1 -1.</_>
-        <_>
-          10 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 12 1 -1.</_>
-        <_>
-          6 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 6 3 -1.</_>
-        <_>
-          12 2 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 3 -1.</_>
-        <_>
-          10 2 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 16 2 -1.</_>
-        <_>
-          6 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 5 4 -1.</_>
-        <_>
-          13 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          9 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 3 3 -1.</_>
-        <_>
-          17 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 1 2 -1.</_>
-        <_>
-          5 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 2 2 -1.</_>
-        <_>
-          1 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 3 1 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 1 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 6 1 -1.</_>
-        <_>
-          15 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 5 2 -1.</_>
-        <_>
-          4 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 6 1 -1.</_>
-        <_>
-          15 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 1 -1.</_>
-        <_>
-          5 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          10 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 1 -1.</_>
-        <_>
-          4 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 4 3 1 -1.</_>
-        <_>
-          19 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 3 1 -1.</_>
-        <_>
-          2 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 5 -1.</_>
-        <_>
-          9 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 10 2 -1.</_>
-        <_>
-          6 2 5 1 2.</_>
-        <_>
-          11 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 8 2 -1.</_>
-        <_>
-          12 2 4 1 2.</_>
-        <_>
-          8 3 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 8 2 -1.</_>
-        <_>
-          6 2 4 1 2.</_>
-        <_>
-          10 3 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 5 3 -1.</_>
-        <_>
-          16 2 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 21 3 -1.</_>
-        <_>
-          7 2 7 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 2 -1.</_>
-        <_>
-          10 2 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 3 -1.</_>
-        <_>
-          8 0 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 3 -1.</_>
-        <_>
-          10 1 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 5 4 -1.</_>
-        <_>
-          17 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 16 2 -1.</_>
-        <_>
-          6 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 2 1 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 1 -1.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 5 4 -1.</_>
-        <_>
-          17 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 5 4 -1.</_>
-        <_>
-          0 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 1 -1.</_>
-        <_>
-          13 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 8 2 -1.</_>
-        <_>
-          7 3 4 1 2.</_>
-        <_>
-          11 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          11 0 6 2 2.</_>
-        <_>
-          5 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 2 -1.</_>
-        <_>
-          10 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 2 2 -1.</_>
-        <_>
-          20 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 4 3 -1.</_>
-        <_>
-          15 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 5 -1.</_>
-        <_>
-          11 0 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 6 4 -1.</_>
-        <_>
-          11 1 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 9 4 -1.</_>
-        <_>
-          9 1 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 2 2 -1.</_>
-        <_>
-          20 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 20 2 -1.</_>
-        <_>
-          12 3 10 1 2.</_>
-        <_>
-          2 4 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 1 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 4 3 1 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 5 4 -1.</_>
-        <_>
-          3 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 3 -1.</_>
-        <_>
-          10 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 18 4 -1.</_>
-        <_>
-          11 1 9 2 2.</_>
-        <_>
-          2 3 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 18 2 -1.</_>
-        <_>
-          8 1 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 4 -1.</_>
-        <_>
-          3 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 2 -1.</_>
-        <_>
-          8 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 1 -1.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 2 1 -1.</_>
-        <_>
-          5 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 3 3 -1.</_>
-        <_>
-          17 2 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          5 0 6 2 2.</_>
-        <_>
-          11 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 16 4 -1.</_>
-        <_>
-          10 1 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 5 3 -1.</_>
-        <_>
-          15 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          11 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 2 -1.</_>
-        <_>
-          13 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 1 -1.</_>
-        <_>
-          9 0 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 4 3 -1.</_>
-        <_>
-          16 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 1 4 -1.</_>
-        <_>
-          6 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 2 -1.</_>
-        <_>
-          15 2 1 1 2.</_>
-        <_>
-          14 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 12 1 -1.</_>
-        <_>
-          6 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 16 2 -1.</_>
-        <_>
-          11 3 8 1 2.</_>
-        <_>
-          3 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 3 -1.</_>
-        <_>
-          3 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 4 3 -1.</_>
-        <_>
-          16 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 3 -1.</_>
-        <_>
-          2 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 9 3 -1.</_>
-        <_>
-          10 2 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 5 -1.</_>
-        <_>
-          11 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 2 -1.</_>
-        <_>
-          12 3 2 1 2.</_>
-        <_>
-          10 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 16 2 -1.</_>
-        <_>
-          6 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 4 -1.</_>
-        <_>
-          13 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 2 -1.</_>
-        <_>
-          0 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 5 -1.</_>
-        <_>
-          10 0 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 1 -1.</_>
-        <_>
-          4 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 4 -1.</_>
-        <_>
-          10 0 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 12 1 -1.</_>
-        <_>
-          10 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 2 1 2 -1.</_>
-        <_>
-          21 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 1 -1.</_>
-        <_>
-          5 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 5 2 -1.</_>
-        <_>
-          0 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 22 2 -1.</_>
-        <_>
-          11 3 11 1 2.</_>
-        <_>
-          0 4 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 4 -1.</_>
-        <_>
-          10 1 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 2 -1.</_>
-        <_>
-          13 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 2 -1.</_>
-        <_>
-          6 0 5 1 2.</_>
-        <_>
-          11 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 5 3 -1.</_>
-        <_>
-          16 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 5 3 -1.</_>
-        <_>
-          1 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 3 -1.</_>
-        <_>
-          1 2 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          11 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 1 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 1 -1.</_>
-        <_>
-          5 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 2 -1.</_>
-        <_>
-          13 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 5 2 -1.</_>
-        <_>
-          4 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 1 -1.</_>
-        <_>
-          15 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 5 -1.</_>
-        <_>
-          11 0 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 6 1 -1.</_>
-        <_>
-          18 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 1 -1.</_>
-        <_>
-          2 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 4 2 -1.</_>
-        <_>
-          20 0 2 1 2.</_>
-        <_>
-          18 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 1 -1.</_>
-        <_>
-          10 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 1 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 14 1 -1.</_>
-        <_>
-          6 2 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 14 1 -1.</_>
-        <_>
-          9 2 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 2 1 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 2 -1.</_>
-        <_>
-          3 1 1 1 2.</_>
-        <_>
-          4 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 5 4 -1.</_>
-        <_>
-          13 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 5 -1.</_>
-        <_>
-          10 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 1 2 -1.</_>
-        <_>
-          20 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 1 -1.</_>
-        <_>
-          13 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 1 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 3 2 -1.</_>
-        <_>
-          19 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 2 -1.</_>
-        <_>
-          0 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          11 0 6 2 2.</_>
-        <_>
-          5 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 5 4 -1.</_>
-        <_>
-          4 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 3 -1.</_>
-        <_>
-          16 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          3 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 10 2 -1.</_>
-        <_>
-          12 2 5 1 2.</_>
-        <_>
-          7 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 10 2 -1.</_>
-        <_>
-          5 2 5 1 2.</_>
-        <_>
-          10 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 5 4 -1.</_>
-        <_>
-          4 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 4 3 -1.</_>
-        <_>
-          16 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 3 -1.</_>
-        <_>
-          2 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 1 -1.</_>
-        <_>
-          5 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 1 -1.</_>
-        <_>
-          9 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 1 -1.</_>
-        <_>
-          6 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 1 -1.</_>
-        <_>
-          5 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 2 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_>
-        <_>
-          19 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 3 1 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 3 1 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          10 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 6 3 -1.</_>
-        <_>
-          12 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 3 -1.</_>
-        <_>
-          8 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 21 3 -1.</_>
-        <_>
-          8 2 7 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          9 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 4 3 1 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 5 2 -1.</_>
-        <_>
-          4 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 10 2 -1.</_>
-        <_>
-          8 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 3 3 -1.</_>
-        <_>
-          17 2 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 3 -1.</_>
-        <_>
-          4 2 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 2 3 -1.</_>
-        <_>
-          11 1 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 2 -1.</_>
-        <_>
-          8 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 2 20 1 -1.</_>
-        <_>
-          6 2 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 4 -1.</_>
-        <_>
-          8 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 1 -1.</_>
-        <_>
-          13 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 5 3 -1.</_>
-        <_>
-          0 2 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 1 -1.</_>
-        <_>
-          13 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 20 4 -1.</_>
-        <_>
-          12 1 10 2 2.</_>
-        <_>
-          2 3 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 3 1 2 -1.</_>
-        <_>
-          21 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 2 -1.</_>
-        <_>
-          0 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 5 3 -1.</_>
-        <_>
-          15 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 1 4 -1.</_>
-        <_>
-          21 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 10 2 -1.</_>
-        <_>
-          5 3 5 1 2.</_>
-        <_>
-          10 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 1 2 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 2 -1.</_>
-        <_>
-          6 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 21 3 -1.</_>
-        <_>
-          8 1 7 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 6 2 -1.</_>
-        <_>
-          3 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 16 1 -1.</_>
-        <_>
-          10 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 16 1 -1.</_>
-        <_>
-          4 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 18 3 -1.</_>
-        <_>
-          8 2 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 1 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 4 -1.</_>
-        <_>
-          11 0 5 2 2.</_>
-        <_>
-          6 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          5 0 6 2 2.</_>
-        <_>
-          11 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          11 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 5 -1.</_>
-        <_>
-          9 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 3 1 -1.</_>
-        <_>
-          1 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 3 1 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 4 3 -1.</_>
-        <_>
-          16 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 1 -1.</_>
-        <_>
-          6 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 1 2 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 1 -1.</_>
-        <_>
-          7 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 2 -1.</_>
-        <_>
-          11 3 3 1 2.</_>
-        <_>
-          8 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 2 -1.</_>
-        <_>
-          6 1 1 1 2.</_>
-        <_>
-          7 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 18 3 -1.</_>
-        <_>
-          10 3 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 2 -1.</_>
-        <_>
-          8 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 4 3 -1.</_>
-        <_>
-          16 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 3 -1.</_>
-        <_>
-          2 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 12 5 -1.</_>
-        <_>
-          13 0 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 5 4 -1.</_>
-        <_>
-          3 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 18 2 -1.</_>
-        <_>
-          13 2 9 1 2.</_>
-        <_>
-          4 3 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 10 1 -1.</_>
-        <_>
-          6 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 18 2 -1.</_>
-        <_>
-          8 1 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 3 2 -1.</_>
-        <_>
-          17 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 3 3 -1.</_>
-        <_>
-          17 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 1 -1.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 1 -1.</_>
-        <_>
-          10 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 1 2 -1.</_>
-        <_>
-          4 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 1 -1.</_>
-        <_>
-          12 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          10 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 3 3 -1.</_>
-        <_>
-          17 2 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 3 -1.</_>
-        <_>
-          4 2 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 1 -1.</_>
-        <_>
-          17 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 4 -1.</_>
-        <_>
-          2 0 8 2 2.</_>
-        <_>
-          10 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 1 -1.</_>
-        <_>
-          17 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 2 -1.</_>
-        <_>
-          0 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 1 -1.</_>
-        <_>
-          14 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 1 -1.</_>
-        <_>
-          4 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 22 2 -1.</_>
-        <_>
-          11 3 11 1 2.</_>
-        <_>
-          0 4 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 1 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 2 -1.</_>
-        <_>
-          12 0 1 1 2.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 2 -1.</_>
-        <_>
-          7 0 4 1 2.</_>
-        <_>
-          11 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 2 -1.</_>
-        <_>
-          15 1 1 1 2.</_>
-        <_>
-          14 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 8 4 -1.</_>
-        <_>
-          8 1 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 1 4 -1.</_>
-        <_>
-          21 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 2 -1.</_>
-        <_>
-          6 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 2 -1.</_>
-        <_>
-          15 1 1 1 2.</_>
-        <_>
-          14 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 2 -1.</_>
-        <_>
-          6 1 1 1 2.</_>
-        <_>
-          7 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 9 4 -1.</_>
-        <_>
-          12 1 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 9 4 -1.</_>
-        <_>
-          7 1 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 2 -1.</_>
-        <_>
-          12 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 1 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 1 -1.</_>
-        <_>
-          6 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 1 2 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 18 3 -1.</_>
-        <_>
-          9 2 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 2 -1.</_>
-        <_>
-          1 2 1 1 2.</_>
-        <_>
-          2 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 16 2 -1.</_>
-        <_>
-          10 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 16 2 -1.</_>
-        <_>
-          4 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 3 -1.</_>
-        <_>
-          21 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 4 -1.</_>
-        <_>
-          0 1 9 2 2.</_>
-        <_>
-          9 3 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 2 -1.</_>
-        <_>
-          13 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 5 2 -1.</_>
-        <_>
-          4 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 4 1 -1.</_>
-        <_>
-          12 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 5 -1.</_>
-        <_>
-          11 0 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 20 1 -1.</_>
-        <_>
-          6 2 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 3 1 -1.</_>
-        <_>
-          7 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 3 -1.</_>
-        <_>
-          16 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 3 -1.</_>
-        <_>
-          10 1 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 1 2 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 4 -1.</_>
-        <_>
-          10 1 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 2 1 2 -1.</_>
-        <_>
-          21 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 1 -1.</_>
-        <_>
-          1 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 22 2 -1.</_>
-        <_>
-          0 3 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 2 -1.</_>
-        <_>
-          12 0 1 1 2.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 4 -1.</_>
-        <_>
-          9 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 16 2 -1.</_>
-        <_>
-          8 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 3 -1.</_>
-        <_>
-          7 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 14 4 -1.</_>
-        <_>
-          11 1 7 2 2.</_>
-        <_>
-          4 3 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 4 -1.</_>
-        <_>
-          11 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 3 -1.</_>
-        <_>
-          9 1 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 1 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 1 2 -1.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 22 2 -1.</_>
-        <_>
-          0 3 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 1 -1.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 6 5 -1.</_>
-        <_>
-          18 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 5 -1.</_>
-        <_>
-          2 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 18 1 -1.</_>
-        <_>
-          4 2 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 10 2 -1.</_>
-        <_>
-          6 2 5 1 2.</_>
-        <_>
-          11 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 18 1 -1.</_>
-        <_>
-          4 2 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 1 -1.</_>
-        <_>
-          9 2 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 1 4 -1.</_>
-        <_>
-          21 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 4 1 -1.</_>
-        <_>
-          2 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 1 -1.</_>
-        <_>
-          17 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 3 -1.</_>
-        <_>
-          1 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 1 4 -1.</_>
-        <_>
-          18 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 2 -1.</_>
-        <_>
-          10 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 1 1 4 -1.</_>
-        <_>
-          18 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 4 -1.</_>
-        <_>
-          3 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 2 -1.</_>
-        <_>
-          15 2 1 1 2.</_>
-        <_>
-          14 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 18 3 -1.</_>
-        <_>
-          7 1 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 1 -1.</_>
-        <_>
-          17 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 4 2 -1.</_>
-        <_>
-          8 3 2 1 2.</_>
-        <_>
-          10 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 2 -1.</_>
-        <_>
-          12 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 2 -1.</_>
-        <_>
-          8 3 3 1 2.</_>
-        <_>
-          11 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 1 -1.</_>
-        <_>
-          17 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 1 -1.</_>
-        <_>
-          4 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 2 -1.</_>
-        <_>
-          16 3 1 1 2.</_>
-        <_>
-          15 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 2 -1.</_>
-        <_>
-          5 3 1 1 2.</_>
-        <_>
-          6 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 1 -1.</_>
-        <_>
-          15 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 1 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 3 -1.</_>
-        <_>
-          0 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 10 1 -1.</_>
-        <_>
-          12 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 3 -1.</_>
-        <_>
-          10 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 1 2 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 1 -1.</_>
-        <_>
-          10 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 1 4 -1.</_>
-        <_>
-          21 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 4 -1.</_>
-        <_>
-          0 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 16 2 -1.</_>
-        <_>
-          4 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 5 3 -1.</_>
-        <_>
-          14 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 4 3 -1.</_>
-        <_>
-          3 1 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          9 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 16 2 -1.</_>
-        <_>
-          5 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 2 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_>
-        <_>
-          19 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 2 -1.</_>
-        <_>
-          10 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          9 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          11 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 2 -1.</_>
-        <_>
-          12 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 2 2 -1.</_>
-        <_>
-          2 3 1 1 2.</_>
-        <_>
-          3 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 2 2 -1.</_>
-        <_>
-          19 1 1 1 2.</_>
-        <_>
-          18 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 1 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 2 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_>
-        <_>
-          19 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 1 -1.</_>
-        <_>
-          7 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 1 2 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 1 2 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 1 -1.</_>
-        <_>
-          6 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_>
-        <_>
-          15 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 16 2 -1.</_>
-        <_>
-          6 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 2 -1.</_>
-        <_>
-          10 0 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 9 1 -1.</_>
-        <_>
-          14 0 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 1 -1.</_>
-        <_>
-          10 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 5 4 -1.</_>
-        <_>
-          13 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 9 1 -1.</_>
-        <_>
-          5 0 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 4 -1.</_>
-        <_>
-          13 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 10 2 -1.</_>
-        <_>
-          6 2 5 1 2.</_>
-        <_>
-          11 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 3 2 -1.</_>
-        <_>
-          19 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 5 3 -1.</_>
-        <_>
-          2 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 1 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 1 2 -1.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 2 2 -1.</_>
-        <_>
-          18 1 1 1 2.</_>
-        <_>
-          17 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 5 -1.</_>
-        <_>
-          11 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 3 -1.</_>
-        <_>
-          9 2 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 4 2 -1.</_>
-        <_>
-          10 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 4 -1.</_>
-        <_>
-          21 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 20 1 -1.</_>
-        <_>
-          6 2 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 2 1 -1.</_>
-        <_>
-          20 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 2 -1.</_>
-        <_>
-          3 1 1 1 2.</_>
-        <_>
-          4 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 2 -1.</_>
-        <_>
-          18 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 2 -1.</_>
-        <_>
-          6 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 21 3 -1.</_>
-        <_>
-          8 2 7 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 2 -1.</_>
-        <_>
-          7 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 1 -1.</_>
-        <_>
-          14 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 2 -1.</_>
-        <_>
-          10 2 1 1 2.</_>
-        <_>
-          11 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 3 2 -1.</_>
-        <_>
-          19 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 2 -1.</_>
-        <_>
-          0 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 1 -1.</_>
-        <_>
-          14 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 3 1 -1.</_>
-        <_>
-          7 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 2 -1.</_>
-        <_>
-          8 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 1 2 2 -1.</_>
-        <_>
-          20 1 1 1 2.</_>
-        <_>
-          19 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 4 2 -1.</_>
-        <_>
-          2 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 2 2 -1.</_>
-        <_>
-          20 1 1 1 2.</_>
-        <_>
-          19 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 2 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_>
-        <_>
-          2 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 2 -1.</_>
-        <_>
-          12 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 1 -1.</_>
-        <_>
-          5 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 2 -1.</_>
-        <_>
-          13 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 5 2 -1.</_>
-        <_>
-          4 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 16 4 -1.</_>
-        <_>
-          11 0 8 2 2.</_>
-        <_>
-          3 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 4 -1.</_>
-        <_>
-          0 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 2 -1.</_>
-        <_>
-          18 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 2 -1.</_>
-        <_>
-          2 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 16 2 -1.</_>
-        <_>
-          10 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 16 2 -1.</_>
-        <_>
-          4 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 1 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          11 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 1 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 2 -1.</_>
-        <_>
-          7 0 4 1 2.</_>
-        <_>
-          11 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 2 2 -1.</_>
-        <_>
-          19 1 1 1 2.</_>
-        <_>
-          18 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 1 -1.</_>
-        <_>
-          4 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 2 2 -1.</_>
-        <_>
-          19 1 1 1 2.</_>
-        <_>
-          18 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 1 -1.</_>
-        <_>
-          5 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 1 -1.</_>
-        <_>
-          10 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 2 2 -1.</_>
-        <_>
-          2 1 1 1 2.</_>
-        <_>
-          3 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 2 -1.</_>
-        <_>
-          12 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 2 -1.</_>
-        <_>
-          9 3 1 1 2.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 4 -1.</_>
-        <_>
-          12 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 3 -1.</_>
-        <_>
-          10 1 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 4 -1.</_>
-        <_>
-          12 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 4 -1.</_>
-        <_>
-          8 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 20 2 -1.</_>
-        <_>
-          6 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 1 1 2.</_>
-        <_>
-          10 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 2 -1.</_>
-        <_>
-          12 0 3 1 2.</_>
-        <_>
-          9 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 2 -1.</_>
-        <_>
-          7 0 3 1 2.</_>
-        <_>
-          10 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 2 2 -1.</_>
-        <_>
-          20 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 1 -1.</_>
-        <_>
-          4 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 1 -1.</_>
-        <_>
-          10 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 1 2 -1.</_>
-        <_>
-          3 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 6 4 -1.</_>
-        <_>
-          19 1 3 2 2.</_>
-        <_>
-          16 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 6 4 -1.</_>
-        <_>
-          0 1 3 2 2.</_>
-        <_>
-          3 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 2 1 -1.</_>
-        <_>
-          20 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 1 -1.</_>
-        <_>
-          1 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 1 4 -1.</_>
-        <_>
-          21 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 4 -1.</_>
-        <_>
-          0 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 1 3 -1.</_>
-        <_>
-          1 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          10 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 2 -1.</_>
-        <_>
-          9 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 16 1 -1.</_>
-        <_>
-          11 0 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 2 -1.</_>
-        <_>
-          6 1 1 1 2.</_>
-        <_>
-          7 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 5 4 -1.</_>
-        <_>
-          13 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 3 -1.</_>
-        <_>
-          2 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 4 2 -1.</_>
-        <_>
-          20 0 2 1 2.</_>
-        <_>
-          18 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 10 2 -1.</_>
-        <_>
-          6 2 5 1 2.</_>
-        <_>
-          11 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 8 3 -1.</_>
-        <_>
-          8 2 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 8 3 -1.</_>
-        <_>
-          10 2 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 1 3 -1.</_>
-        <_>
-          18 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 1 -1.</_>
-        <_>
-          10 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 4 -1.</_>
-        <_>
-          21 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 1 3 -1.</_>
-        <_>
-          18 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 6 5 -1.</_>
-        <_>
-          18 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 8 4 -1.</_>
-        <_>
-          0 1 4 2 2.</_>
-        <_>
-          4 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 2 2 -1.</_>
-        <_>
-          19 3 1 1 2.</_>
-        <_>
-          18 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 2 1 -1.</_>
-        <_>
-          2 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 4 2 1 -1.</_>
-        <_>
-          19 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 1 -1.</_>
-        <_>
-          9 2 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 16 4 -1.</_>
-        <_>
-          11 0 8 2 2.</_>
-        <_>
-          3 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 1 -1.</_>
-        <_>
-          6 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 2 -1.</_>
-        <_>
-          15 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 2 2 -1.</_>
-        <_>
-          5 1 1 1 2.</_>
-        <_>
-          6 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 2 -1.</_>
-        <_>
-          15 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 2 -1.</_>
-        <_>
-          6 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 1 -1.</_>
-        <_>
-          16 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 1 -1.</_>
-        <_>
-          6 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 21 3 -1.</_>
-        <_>
-          8 2 7 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 3 1 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 1 3 -1.</_>
-        <_>
-          19 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 1 3 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 8 2 -1.</_>
-        <_>
-          11 1 4 1 2.</_>
-        <_>
-          7 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          9 1 1 1 2.</_>
-        <_>
-          10 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 3 3 -1.</_>
-        <_>
-          12 2 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 3 4 -1.</_>
-        <_>
-          9 1 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 1 -1.</_>
-        <_>
-          17 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 2 -1.</_>
-        <_>
-          11 3 3 1 2.</_>
-        <_>
-          8 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 2 -1.</_>
-        <_>
-          4 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 2 2 -1.</_>
-        <_>
-          14 3 1 1 2.</_>
-        <_>
-          13 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 2 -1.</_>
-        <_>
-          9 3 2 1 2.</_>
-        <_>
-          11 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_>
-        <_>
-          15 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 1 -1.</_>
-        <_>
-          2 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 3 -1.</_>
-        <_>
-          9 1 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 8 1 -1.</_>
-        <_>
-          8 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 4 2 -1.</_>
-        <_>
-          18 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 1 -1.</_>
-        <_>
-          8 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 4 2 -1.</_>
-        <_>
-          18 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 2 -1.</_>
-        <_>
-          0 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 5 4 -1.</_>
-        <_>
-          4 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_>
-        <_>
-          15 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 2 -1.</_>
-        <_>
-          5 2 1 1 2.</_>
-        <_>
-          6 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 1 -1.</_>
-        <_>
-          14 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 1 -1.</_>
-        <_>
-          7 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 2 -1.</_>
-        <_>
-          16 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 2 -1.</_>
-        <_>
-          5 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 5 4 -1.</_>
-        <_>
-          15 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 3 -1.</_>
-        <_>
-          4 2 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 2 -1.</_>
-        <_>
-          10 0 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 1 -1.</_>
-        <_>
-          4 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 14 2 -1.</_>
-        <_>
-          6 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 1 -1.</_>
-        <_>
-          2 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 5 -1.</_>
-        <_>
-          10 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 12 2 -1.</_>
-        <_>
-          10 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 22 2 -1.</_>
-        <_>
-          11 0 11 1 2.</_>
-        <_>
-          0 1 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 1 3 -1.</_>
-        <_>
-          18 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 1 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 6 5 -1.</_>
-        <_>
-          18 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 8 2 -1.</_>
-        <_>
-          7 3 4 1 2.</_>
-        <_>
-          11 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 2 -1.</_>
-        <_>
-          8 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 6 5 -1.</_>
-        <_>
-          18 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 2 2 -1.</_>
-        <_>
-          5 1 1 1 2.</_>
-        <_>
-          6 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 6 5 -1.</_>
-        <_>
-          18 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 4 -1.</_>
-        <_>
-          6 0 5 2 2.</_>
-        <_>
-          11 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 6 5 -1.</_>
-        <_>
-          18 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 5 -1.</_>
-        <_>
-          2 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 16 2 -1.</_>
-        <_>
-          9 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 10 3 -1.</_>
-        <_>
-          6 2 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 2 -1.</_>
-        <_>
-          16 3 1 1 2.</_>
-        <_>
-          15 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 2 -1.</_>
-        <_>
-          5 3 1 1 2.</_>
-        <_>
-          6 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 8 4 -1.</_>
-        <_>
-          18 1 4 2 2.</_>
-        <_>
-          14 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 4 -1.</_>
-        <_>
-          3 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 1 4 -1.</_>
-        <_>
-          21 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 22 2 -1.</_>
-        <_>
-          0 2 11 1 2.</_>
-        <_>
-          11 3 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 3 3 -1.</_>
-        <_>
-          17 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 3 -1.</_>
-        <_>
-          2 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 12 5 -1.</_>
-        <_>
-          13 0 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          11 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 1 -1.</_>
-        <_>
-          11 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 2 -1.</_>
-        <_>
-          9 3 1 1 2.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          16 0 2 1 2.</_>
-        <_>
-          14 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 20 2 -1.</_>
-        <_>
-          0 3 10 1 2.</_>
-        <_>
-          10 4 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 9 2 -1.</_>
-        <_>
-          16 1 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 1 -1.</_>
-        <_>
-          10 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 2 2 -1.</_>
-        <_>
-          12 2 1 1 2.</_>
-        <_>
-          11 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 2 -1.</_>
-        <_>
-          10 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 2 -1.</_>
-        <_>
-          15 1 1 1 2.</_>
-        <_>
-          14 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 1 -1.</_>
-        <_>
-          6 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 1 -1.</_>
-        <_>
-          8 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 22 1 -1.</_>
-        <_>
-          11 4 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 1 -1.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 2 1 -1.</_>
-        <_>
-          5 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 6 3 -1.</_>
-        <_>
-          17 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 2 -1.</_>
-        <_>
-          6 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 4 -1.</_>
-        <_>
-          10 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 2 -1.</_>
-        <_>
-          15 1 1 1 2.</_>
-        <_>
-          14 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 2 -1.</_>
-        <_>
-          6 1 1 1 2.</_>
-        <_>
-          7 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 2 2 -1.</_>
-        <_>
-          20 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 1 -1.</_>
-        <_>
-          5 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 3 1 -1.</_>
-        <_>
-          19 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 2 -1.</_>
-        <_>
-          0 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 2 2 -1.</_>
-        <_>
-          21 3 1 1 2.</_>
-        <_>
-          20 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 12 2 -1.</_>
-        <_>
-          13 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 3 1 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 3 1 -1.</_>
-        <_>
-          20 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 3 1 -1.</_>
-        <_>
-          1 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 2 1 -1.</_>
-        <_>
-          20 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 18 3 -1.</_>
-        <_>
-          8 1 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 2 -1.</_>
-        <_>
-          14 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 20 1 -1.</_>
-        <_>
-          6 2 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 2 1 -1.</_>
-        <_>
-          20 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 3 2 -1.</_>
-        <_>
-          9 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 2 1 -1.</_>
-        <_>
-          20 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 16 2 -1.</_>
-        <_>
-          10 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 16 2 -1.</_>
-        <_>
-          4 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 2 -1.</_>
-        <_>
-          11 3 2 1 2.</_>
-        <_>
-          9 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          10 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 1 -1.</_>
-        <_>
-          12 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 1 -1.</_>
-        <_>
-          11 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 3 -1.</_>
-        <_>
-          10 0 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 12 1 -1.</_>
-        <_>
-          8 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 2 -1.</_>
-        <_>
-          7 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 18 3 -1.</_>
-        <_>
-          10 3 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 2 -1.</_>
-        <_>
-          1 2 1 1 2.</_>
-        <_>
-          2 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 1 3 -1.</_>
-        <_>
-          19 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 1 -1.</_>
-        <_>
-          6 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 2 -1.</_>
-        <_>
-          12 0 1 1 2.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 1 1 2.</_>
-        <_>
-          10 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 5 -1.</_>
-        <_>
-          10 0 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          11 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 1 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 3 -1.</_>
-        <_>
-          2 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 1 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 1 -1.</_>
-        <_>
-          5 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 2 2 -1.</_>
-        <_>
-          21 0 1 1 2.</_>
-        <_>
-          20 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 8 4 -1.</_>
-        <_>
-          0 1 4 2 2.</_>
-        <_>
-          4 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 18 3 -1.</_>
-        <_>
-          10 3 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 3 -1.</_>
-        <_>
-          6 3 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 3 -1.</_>
-        <_>
-          7 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 2 -1.</_>
-        <_>
-          12 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 3 -1.</_>
-        <_>
-          10 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 2 -1.</_>
-        <_>
-          12 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          10 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 0 4 2 -1.</_>
-        <_>
-          20 0 2 1 2.</_>
-        <_>
-          18 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 2 -1.</_>
-        <_>
-          1 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 3 1 2 -1.</_>
-        <_>
-          21 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 16 1 -1.</_>
-        <_>
-          8 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 2 1 -1.</_>
-        <_>
-          17 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 5 -1.</_>
-        <_>
-          1 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 3 -1.</_>
-        <_>
-          14 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 5 4 -1.</_>
-        <_>
-          4 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 2 2 -1.</_>
-        <_>
-          19 3 1 1 2.</_>
-        <_>
-          18 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 4 2 -1.</_>
-        <_>
-          8 2 2 1 2.</_>
-        <_>
-          10 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 2 -1.</_>
-        <_>
-          15 2 1 1 2.</_>
-        <_>
-          14 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 2 2 -1.</_>
-        <_>
-          2 3 1 1 2.</_>
-        <_>
-          3 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 1 -1.</_>
-        <_>
-          12 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 1 -1.</_>
-        <_>
-          9 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 4 2 -1.</_>
-        <_>
-          20 0 2 1 2.</_>
-        <_>
-          18 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 1 -1.</_>
-        <_>
-          5 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          15 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 2 2 -1.</_>
-        <_>
-          6 2 1 1 2.</_>
-        <_>
-          7 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 3 3 -1.</_>
-        <_>
-          17 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 2 -1.</_>
-        <_>
-          5 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          9 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 3 3 -1.</_>
-        <_>
-          7 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 2 -1.</_>
-        <_>
-          15 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          0 0 2 1 2.</_>
-        <_>
-          2 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 2 1 -1.</_>
-        <_>
-          17 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 2 -1.</_>
-        <_>
-          6 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 4 3 -1.</_>
-        <_>
-          16 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 5 2 -1.</_>
-        <_>
-          4 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 3 1 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 1 -1.</_>
-        <_>
-          4 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 3 1 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 1 -1.</_>
-        <_>
-          8 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 16 2 -1.</_>
-        <_>
-          13 1 8 1 2.</_>
-        <_>
-          5 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 1 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 14 2 -1.</_>
-        <_>
-          13 1 7 1 2.</_>
-        <_>
-          6 2 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 14 2 -1.</_>
-        <_>
-          2 1 7 1 2.</_>
-        <_>
-          9 2 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 4 2 -1.</_>
-        <_>
-          16 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 2 -1.</_>
-        <_>
-          8 1 3 1 2.</_>
-        <_>
-          11 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 4 3 -1.</_>
-        <_>
-          16 2 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 4 2 -1.</_>
-        <_>
-          2 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 5 -1.</_>
-        <_>
-          10 0 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 3 -1.</_>
-        <_>
-          8 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 2 2 -1.</_>
-        <_>
-          20 1 1 1 2.</_>
-        <_>
-          19 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          10 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 2 1 -1.</_>
-        <_>
-          19 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 20 4 -1.</_>
-        <_>
-          0 0 10 2 2.</_>
-        <_>
-          10 2 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 3 4 -1.</_>
-        <_>
-          19 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 22 2 -1.</_>
-        <_>
-          11 3 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 2 -1.</_>
-        <_>
-          15 1 1 1 2.</_>
-        <_>
-          14 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 2 -1.</_>
-        <_>
-          6 1 1 1 2.</_>
-        <_>
-          7 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 1 2 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 1 -1.</_>
-        <_>
-          16 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 2 2 -1.</_>
-        <_>
-          20 1 1 1 2.</_>
-        <_>
-          19 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 2 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_>
-        <_>
-          2 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 1 2 -1.</_>
-        <_>
-          21 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 2 -1.</_>
-        <_>
-          0 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 8 2 -1.</_>
-        <_>
-          6 3 4 1 2.</_>
-        <_>
-          10 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 3 1 -1.</_>
-        <_>
-          1 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 2 -1.</_>
-        <_>
-          10 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 4 -1.</_>
-        <_>
-          11 1 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 1 -1.</_>
-        <_>
-          8 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 4 2 -1.</_>
-        <_>
-          19 1 2 1 2.</_>
-        <_>
-          17 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 4 2 -1.</_>
-        <_>
-          1 1 2 1 2.</_>
-        <_>
-          3 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 2 1 -1.</_>
-        <_>
-          18 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 2 1 -1.</_>
-        <_>
-          3 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 2 2 -1.</_>
-        <_>
-          19 2 1 1 2.</_>
-        <_>
-          18 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          3 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 2 2 -1.</_>
-        <_>
-          19 2 1 1 2.</_>
-        <_>
-          18 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 1 -1.</_>
-        <_>
-          8 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 2 2 2 -1.</_>
-        <_>
-          19 2 1 1 2.</_>
-        <_>
-          18 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 2 2 -1.</_>
-        <_>
-          2 2 1 1 2.</_>
-        <_>
-          3 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 1 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 2 1 -1.</_>
-        <_>
-          2 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 2 -1.</_>
-        <_>
-          13 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 10 2 -1.</_>
-        <_>
-          6 3 5 1 2.</_>
-        <_>
-          11 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 2 -1.</_>
-        <_>
-          11 3 1 1 2.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 8 3 -1.</_>
-        <_>
-          6 2 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 3 1 -1.</_>
-        <_>
-          13 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 16 1 -1.</_>
-        <_>
-          10 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 3 2 -1.</_>
-        <_>
-          13 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 3 2 -1.</_>
-        <_>
-          8 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 2 2 -1.</_>
-        <_>
-          12 2 1 1 2.</_>
-        <_>
-          11 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 2 -1.</_>
-        <_>
-          9 2 1 1 2.</_>
-        <_>
-          10 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 4 2 -1.</_>
-        <_>
-          17 2 2 1 2.</_>
-        <_>
-          15 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 8 5 -1.</_>
-        <_>
-          8 0 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 2 1 -1.</_>
-        <_>
-          13 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 2 -1.</_>
-        <_>
-          9 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 4 2 -1.</_>
-        <_>
-          17 2 2 1 2.</_>
-        <_>
-          15 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 2 -1.</_>
-        <_>
-          3 2 2 1 2.</_>
-        <_>
-          5 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 2 -1.</_>
-        <_>
-          18 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 2 -1.</_>
-        <_>
-          2 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          16 0 2 1 2.</_>
-        <_>
-          14 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 3 1 -1.</_>
-        <_>
-          12 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 2 -1.</_>
-        <_>
-          4 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 10 3 -1.</_>
-        <_>
-          9 0 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          3 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 2 4 -1.</_>
-        <_>
-          11 1 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 16 1 -1.</_>
-        <_>
-          9 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 1 -1.</_>
-        <_>
-          6 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 4 -1.</_>
-        <_>
-          21 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 1 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 2 -1.</_>
-        <_>
-          12 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 22 4 -1.</_>
-        <_>
-          11 0 11 2 2.</_>
-        <_>
-          0 2 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 2 2 -1.</_>
-        <_>
-          2 2 1 1 2.</_>
-        <_>
-          3 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 14 2 -1.</_>
-        <_>
-          11 2 7 1 2.</_>
-        <_>
-          4 3 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 4 1 -1.</_>
-        <_>
-          2 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 1 -1.</_>
-        <_>
-          10 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 5 4 -1.</_>
-        <_>
-          4 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 4 3 -1.</_>
-        <_>
-          16 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 3 -1.</_>
-        <_>
-          2 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 1 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 22 2 -1.</_>
-        <_>
-          0 3 11 1 2.</_>
-        <_>
-          11 4 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 1 -1.</_>
-        <_>
-          2 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 1 3 -1.</_>
-        <_>
-          18 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 6 3 -1.</_>
-        <_>
-          3 2 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 1 3 -1.</_>
-        <_>
-          18 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 3 -1.</_>
-        <_>
-          3 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 3 1 2 -1.</_>
-        <_>
-          21 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 2 -1.</_>
-        <_>
-          0 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 1 -1.</_>
-        <_>
-          5 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 3 -1.</_>
-        <_>
-          12 1 4 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 1 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 4 -1.</_>
-        <_>
-          10 0 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 4 -1.</_>
-        <_>
-          11 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 3 -1.</_>
-        <_>
-          12 1 4 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 3 -1.</_>
-        <_>
-          6 1 4 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 4 -1.</_>
-        <_>
-          10 0 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 4 -1.</_>
-        <_>
-          8 0 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 6 4 -1.</_>
-        <_>
-          12 1 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 3 -1.</_>
-        <_>
-          10 2 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 6 4 -1.</_>
-        <_>
-          12 1 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 4 -1.</_>
-        <_>
-          8 1 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 10 2 -1.</_>
-        <_>
-          11 2 5 1 2.</_>
-        <_>
-          6 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 15 3 -1.</_>
-        <_>
-          7 2 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 1 -1.</_>
-        <_>
-          14 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 3 1 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 15 1 -1.</_>
-        <_>
-          9 2 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 1 -1.</_>
-        <_>
-          5 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 1 -1.</_>
-        <_>
-          14 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 9 2 -1.</_>
-        <_>
-          3 1 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 2 1 2 -1.</_>
-        <_>
-          21 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 22 1 -1.</_>
-        <_>
-          0 3 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 16 2 -1.</_>
-        <_>
-          4 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 1 -1.</_>
-        <_>
-          16 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 1 -1.</_>
-        <_>
-          5 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 6 2 -1.</_>
-        <_>
-          17 0 3 1 2.</_>
-        <_>
-          14 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_>
-        <_>
-          5 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 2 -1.</_>
-        <_>
-          12 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 2 -1.</_>
-        <_>
-          18 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 2 -1.</_>
-        <_>
-          2 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 2 -1.</_>
-        <_>
-          17 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 2 -1.</_>
-        <_>
-          4 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 4 -1.</_>
-        <_>
-          13 1 1 2 2.</_>
-        <_>
-          12 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 4 -1.</_>
-        <_>
-          8 1 1 2 2.</_>
-        <_>
-          9 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          15 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_>
-        <_>
-          15 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 8 2 -1.</_>
-        <_>
-          7 1 4 1 2.</_>
-        <_>
-          11 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 9 3 -1.</_>
-        <_>
-          12 3 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 9 3 -1.</_>
-        <_>
-          7 3 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 2 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_>
-        <_>
-          19 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 2 -1.</_>
-        <_>
-          9 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 8 3 -1.</_>
-        <_>
-          7 2 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 1 -1.</_>
-        <_>
-          5 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 1 -1.</_>
-        <_>
-          14 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 2 -1.</_>
-        <_>
-          1 2 1 1 2.</_>
-        <_>
-          2 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 2 2 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_>
-        <_>
-          19 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 2 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_>
-        <_>
-          2 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 4 -1.</_>
-        <_>
-          21 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 2 -1.</_>
-        <_>
-          6 0 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 16 2 -1.</_>
-        <_>
-          11 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 1 -1.</_>
-        <_>
-          14 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 1 -1.</_>
-        <_>
-          7 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 2 1 -1.</_>
-        <_>
-          11 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 3 -1.</_>
-        <_>
-          11 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 2 -1.</_>
-        <_>
-          12 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 2 -1.</_>
-        <_>
-          9 3 1 1 2.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 16 1 -1.</_>
-        <_>
-          4 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 1 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 8 5 -1.</_>
-        <_>
-          14 0 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 5 -1.</_>
-        <_>
-          4 0 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_>
-        <_>
-          15 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 3 2 -1.</_>
-        <_>
-          7 1 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 3 -1.</_>
-        <_>
-          16 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 3 -1.</_>
-        <_>
-          5 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 1 -1.</_>
-        <_>
-          11 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 12 2 -1.</_>
-        <_>
-          13 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 22 3 -1.</_>
-        <_>
-          11 2 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 1 -1.</_>
-        <_>
-          15 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 3 -1.</_>
-        <_>
-          1 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 6 2 -1.</_>
-        <_>
-          17 1 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 5 -1.</_>
-        <_>
-          10 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 4 1 -1.</_>
-        <_>
-          12 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 1 -1.</_>
-        <_>
-          8 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 3 -1.</_>
-        <_>
-          4 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 2 6 1 -1.</_>
-        <_>
-          3 2 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 2 -1.</_>
-        <_>
-          11 0 4 1 2.</_>
-        <_>
-          7 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 1 -1.</_>
-        <_>
-          10 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 2 -1.</_>
-        <_>
-          12 0 1 1 2.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 1 1 2.</_>
-        <_>
-          10 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 3 3 -1.</_>
-        <_>
-          11 1 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 5 2 -1.</_>
-        <_>
-          4 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 1 -1.</_>
-        <_>
-          14 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 2 -1.</_>
-        <_>
-          8 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 2 -1.</_>
-        <_>
-          15 1 1 1 2.</_>
-        <_>
-          14 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 4 -1.</_>
-        <_>
-          10 1 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 1 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 1 -1.</_>
-        <_>
-          5 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 2 -1.</_>
-        <_>
-          14 0 6 1 2.</_>
-        <_>
-          8 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 3 -1.</_>
-        <_>
-          8 1 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 1 2 -1.</_>
-        <_>
-          13 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 1 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects></_></features></cascade>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_leftear.xml b/data/haarcascades/haarcascade_mcs_leftear.xml
deleted file mode 100644
index 3598515165..0000000000
--- a/data/haarcascades/haarcascade_mcs_leftear.xml
+++ /dev/null
@@ -1,7633 +0,0 @@
-<?xml version="1.0"?>
-<!--
-12x20 Left ear (in the image) detector computed with 5000 positive and 15000 negative samples
-2011-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 – Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 – Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@INPROCEEDINGS{Castrillon11-caepia,
-					  author =       "Castrill\'on Santana, M. and Lorenzo Navarro, J. and Hern\'andez Sosa, D. ",
-					  title =        "An Study on Ear Detection and its Applications to Face Detection",
-					  booktitle =    "Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA)",
-					  year =         "2011",
-					  month =        "November",
-					  address =      "La Laguna, Spain",
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
-  <featureType>HAAR</featureType>
-  <height>12</height>
-  <width>20</width>
-  <stageParams>
-    <maxWeakCount>65</maxWeakCount></stageParams>
-  <featureParams>
-    <maxCatCount>0</maxCatCount></featureParams>
-  <stageNum>20</stageNum>
-  <stages>
-    <_>
-      <maxWeakCount>7</maxWeakCount>
-      <stageThreshold>-1.6897829771041870e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 0 1.2798480689525604e-01</internalNodes>
-          <leafValues>
-            -7.1108317375183105e-01 8.3952748775482178e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1 5.0366270443191752e-05</internalNodes>
-          <leafValues>
-            -7.7958387136459351e-01 4.1161769628524780e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2 -1.1398220434784889e-02</internalNodes>
-          <leafValues>
-            5.5991190671920776e-01 -5.2993881702423096e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3 2.8897399082779884e-02</internalNodes>
-          <leafValues>
-            -9.6023030579090118e-02 1.8446889519691467e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 4 -5.7543441653251648e-03</internalNodes>
-          <leafValues>
-            3.9083909988403320e-01 -7.0798218250274658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 5 1.2758660130202770e-02</internalNodes>
-          <leafValues>
-            -7.6031517982482910e-01 2.6452711224555969e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 6 -4.1698651330079883e-05</internalNodes>
-          <leafValues>
-            3.2332289218902588e-01 -5.7402020692825317e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>12</maxWeakCount>
-      <stageThreshold>-1.6203830242156982e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 7 1.7598830163478851e-01</internalNodes>
-          <leafValues>
-            -5.9234100580215454e-01 7.8493958711624146e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 8 3.8594089448451996e-02</internalNodes>
-          <leafValues>
-            -6.8187582492828369e-01 3.8166061043739319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 9 1.2052910029888153e-01</internalNodes>
-          <leafValues>
-            -3.7438058853149414e-01 5.2112519741058350e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 10 2.1304990351200104e-01</internalNodes>
-          <leafValues>
-            9.7819166257977486e-03 -6.5798282623291016e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 11 -1.9179080426692963e-01</internalNodes>
-          <leafValues>
-            8.8993859291076660e-01 -2.3742930591106415e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 12 3.7649259902536869e-03</internalNodes>
-          <leafValues>
-            -9.2071659862995148e-02 1.5995720028877258e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 13 -7.4397800490260124e-03</internalNodes>
-          <leafValues>
-            3.5091850161552429e-01 -5.2880358695983887e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 14 8.1300012767314911e-02</internalNodes>
-          <leafValues>
-            4.7027029097080231e-02 -4.8141419887542725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 15 7.9818956553936005e-02</internalNodes>
-          <leafValues>
-            -3.0336898565292358e-01 5.7992082834243774e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 16 3.9260480552911758e-02</internalNodes>
-          <leafValues>
-            -6.1189621686935425e-01 2.4700529873371124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 17 -8.6981123313307762e-03</internalNodes>
-          <leafValues>
-            3.0427950620651245e-01 -4.3165320158004761e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 18 5.5766489822417498e-05</internalNodes>
-          <leafValues>
-            -5.4995632171630859e-01 2.4196259677410126e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>20</maxWeakCount>
-      <stageThreshold>-2.1234118938446045e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 19 1.9991339743137360e-01</internalNodes>
-          <leafValues>
-            -5.1076048612594604e-01 7.2653311491012573e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 20 -1.6032690473366529e-04</internalNodes>
-          <leafValues>
-            1.1732880026102066e-01 -1.9851410388946533e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 21 6.2459441833198071e-03</internalNodes>
-          <leafValues>
-            -6.2454998493194580e-01 4.1317841410636902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 22 5.5343401618301868e-03</internalNodes>
-          <leafValues>
-            -8.2238370180130005e-01 2.2600589692592621e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 23 1.0757610201835632e-01</internalNodes>
-          <leafValues>
-            -5.5525738000869751e-01 4.3564280867576599e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 24 -9.9556613713502884e-03</internalNodes>
-          <leafValues>
-            2.9808950424194336e-01 -3.0220919847488403e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 25 -4.8354369937442243e-05</internalNodes>
-          <leafValues>
-            4.4047379493713379e-01 -6.6946560144424438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 26 1.9743980374187231e-04</internalNodes>
-          <leafValues>
-            -2.5094148516654968e-01 1.9814400374889374e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 27 -4.4098760554334149e-05</internalNodes>
-          <leafValues>
-            3.0689230561256409e-01 -6.6775608062744141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 28 -1.7941730096936226e-02</internalNodes>
-          <leafValues>
-            2.7399578690528870e-01 -2.9671499133110046e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 29 5.3291041695047170e-05</internalNodes>
-          <leafValues>
-            -6.7100298404693604e-01 2.4690890312194824e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 30 6.4407112076878548e-03</internalNodes>
-          <leafValues>
-            -5.2723282575607300e-01 2.4782879650592804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 31 -4.9925990402698517e-02</internalNodes>
-          <leafValues>
-            8.2168322801589966e-01 -2.4012729525566101e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 32 2.4148030206561089e-03</internalNodes>
-          <leafValues>
-            -3.8689721375703812e-02 1.9318090379238129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 33 6.2534123659133911e-02</internalNodes>
-          <leafValues>
-            -4.1077169775962830e-01 6.0665780305862427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 34 8.8917986431624740e-05</internalNodes>
-          <leafValues>
-            -6.7601591348648071e-01 3.1252190470695496e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 35 -2.2447909577749670e-04</internalNodes>
-          <leafValues>
-            1.8520550429821014e-01 -7.7942901849746704e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 36 1.8156330042984337e-04</internalNodes>
-          <leafValues>
-            -6.6956442594528198e-01 1.5837380290031433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 37 5.0366270443191752e-05</internalNodes>
-          <leafValues>
-            -4.6770051121711731e-01 2.4539180099964142e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 38 6.0776848840760067e-05</internalNodes>
-          <leafValues>
-            -6.8354898691177368e-01 1.8664689362049103e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>12</maxWeakCount>
-      <stageThreshold>-1.4351799488067627e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 39 1.5990820527076721e-01</internalNodes>
-          <leafValues>
-            -6.2714368104934692e-01 7.2424608469009399e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 40 7.6372842304408550e-03</internalNodes>
-          <leafValues>
-            8.7740488350391388e-02 -5.2430278062820435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 41 6.0625150799751282e-03</internalNodes>
-          <leafValues>
-            -4.3119868636131287e-01 4.6857520937919617e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 42 2.5897640734910965e-02</internalNodes>
-          <leafValues>
-            1.5866510570049286e-02 -6.5979748964309692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 43 5.8885440230369568e-02</internalNodes>
-          <leafValues>
-            -2.1157009899616241e-01 6.7942970991134644e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 44 1.1850179731845856e-01</internalNodes>
-          <leafValues>
-            -1.0366249829530716e-01 7.4645912647247314e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 45 -1.6655250219628215e-03</internalNodes>
-          <leafValues>
-            -6.7015552520751953e-01 2.2192029654979706e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 46 -4.4783479097532108e-05</internalNodes>
-          <leafValues>
-            2.5404050946235657e-01 -4.9562969803810120e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 47 -8.3481962792575359e-04</internalNodes>
-          <leafValues>
-            -7.3370438814163208e-01 2.0266470313072205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 48 -9.3157468363642693e-03</internalNodes>
-          <leafValues>
-            -7.3412007093429565e-01 7.2000503540039062e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 49 -2.9555149376392365e-02</internalNodes>
-          <leafValues>
-            5.1195901632308960e-01 -2.5446298718452454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 50 -7.9029072076082230e-03</internalNodes>
-          <leafValues>
-            -5.3299552202224731e-01 8.8295362889766693e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>12</maxWeakCount>
-      <stageThreshold>-1.3800990581512451e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 51 9.8843306303024292e-02</internalNodes>
-          <leafValues>
-            -5.0631648302078247e-01 6.3027667999267578e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 52 -4.2210938408970833e-03</internalNodes>
-          <leafValues>
-            1.7837150394916534e-01 -3.3268490433692932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 53 2.9967099428176880e-02</internalNodes>
-          <leafValues>
-            -4.5201331377029419e-01 4.6473979949951172e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 54 -1.6702869534492493e-01</internalNodes>
-          <leafValues>
-            8.0514347553253174e-01 -4.0616780519485474e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 55 1.9976759329438210e-02</internalNodes>
-          <leafValues>
-            2.0976160466670990e-01 -7.3149591684341431e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 56 8.1860616803169250e-02</internalNodes>
-          <leafValues>
-            -5.4268407821655273e-01 2.1634259819984436e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 57 1.2709829956293106e-02</internalNodes>
-          <leafValues>
-            -2.4989350140094757e-01 4.7262668609619141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 58 -3.4979879856109619e-02</internalNodes>
-          <leafValues>
-            3.0420958995819092e-01 -3.5224550962448120e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 59 -1.3223739806562662e-03</internalNodes>
-          <leafValues>
-            -6.9712251424789429e-01 1.6912660002708435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 60 -2.3282319307327271e-02</internalNodes>
-          <leafValues>
-            3.3972018957138062e-01 -3.6639729142189026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 61 -1.5517599880695343e-01</internalNodes>
-          <leafValues>
-            7.3445862531661987e-01 -1.8277870118618011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 62 -3.9222039282321930e-02</internalNodes>
-          <leafValues>
-            3.5923731327056885e-01 -1.1233209818601608e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>37</maxWeakCount>
-      <stageThreshold>-2.0749111175537109e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 63 6.2616936862468719e-02</internalNodes>
-          <leafValues>
-            -4.8533481359481812e-01 6.1538851261138916e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 64 1.1619539931416512e-02</internalNodes>
-          <leafValues>
-            -5.7667458057403564e-01 3.8557919859886169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 65 -5.7566948235034943e-03</internalNodes>
-          <leafValues>
-            2.6634719967842102e-01 -8.2090580463409424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 66 9.2315487563610077e-03</internalNodes>
-          <leafValues>
-            -8.0720931291580200e-01 2.0323330163955688e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 67 -3.3656319137662649e-03</internalNodes>
-          <leafValues>
-            2.0334909856319427e-01 -7.4802142381668091e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 68 1.2655390310101211e-04</internalNodes>
-          <leafValues>
-            -5.8880287408828735e-01 1.7631030082702637e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 69 1.0345769673585892e-01</internalNodes>
-          <leafValues>
-            -4.2211589217185974e-01 3.3677190542221069e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 70 -1.7050839960575104e-04</internalNodes>
-          <leafValues>
-            1.8885380029678345e-01 -2.6626259088516235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 71 1.1793050362030044e-04</internalNodes>
-          <leafValues>
-            -7.1056002378463745e-01 2.2684849798679352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 72 -9.7460933029651642e-02</internalNodes>
-          <leafValues>
-            4.2451021075248718e-01 -3.9501309394836426e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 73 -1.7512679100036621e-02</internalNodes>
-          <leafValues>
-            3.6552980542182922e-01 -3.5724669694900513e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 74 1.7156290414277464e-04</internalNodes>
-          <leafValues>
-            -3.1259360909461975e-01 1.1446060240268707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 75 8.5574887692928314e-02</internalNodes>
-          <leafValues>
-            -2.0559160411357880e-01 8.9941620826721191e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 76 1.1759579647332430e-03</internalNodes>
-          <leafValues>
-            -7.5939810276031494e-01 2.1389579772949219e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 77 8.8068292825482786e-05</internalNodes>
-          <leafValues>
-            -6.0090541839599609e-01 2.5762718915939331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 78 2.3003520618658513e-04</internalNodes>
-          <leafValues>
-            -4.1466540098190308e-01 2.3084460198879242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 79 -3.4361891448497772e-04</internalNodes>
-          <leafValues>
-            3.2730078697204590e-01 -7.4609941244125366e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 80 1.5595999546349049e-02</internalNodes>
-          <leafValues>
-            -3.6050570011138916e-01 1.9414800405502319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 81 -6.5029867982957512e-05</internalNodes>
-          <leafValues>
-            3.4985640645027161e-01 -5.5353438854217529e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 82 8.0799087299965322e-05</internalNodes>
-          <leafValues>
-            -4.1298541426658630e-01 2.9194280505180359e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 83 -1.7670560628175735e-02</internalNodes>
-          <leafValues>
-            5.6811487674713135e-01 -3.0118390917778015e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 84 5.2467430941760540e-03</internalNodes>
-          <leafValues>
-            -3.9970070123672485e-01 2.5405979156494141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 85 2.7624730137176812e-04</internalNodes>
-          <leafValues>
-            -4.6306419372558594e-01 2.7200910449028015e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 86 -7.6283427188172936e-04</internalNodes>
-          <leafValues>
-            4.7710940241813660e-01 -2.8456479310989380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 87 5.4720909247407690e-05</internalNodes>
-          <leafValues>
-            -5.9415602684020996e-01 2.8456559777259827e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 88 -5.8523961342871189e-05</internalNodes>
-          <leafValues>
-            1.8699720501899719e-01 -2.9498028755187988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 89 -2.3030990269035101e-04</internalNodes>
-          <leafValues>
-            3.1419369578361511e-01 -5.2966248989105225e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 90 1.2743050465360284e-03</internalNodes>
-          <leafValues>
-            -3.4386789798736572e-01 2.7126389741897583e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 91 1.1066290317103267e-03</internalNodes>
-          <leafValues>
-            -4.5228588581085205e-01 2.4860590696334839e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 92 -1.4225989580154419e-03</internalNodes>
-          <leafValues>
-            3.3848088979721069e-01 -4.1214609146118164e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 93 1.8614599481225014e-02</internalNodes>
-          <leafValues>
-            -1.9110870361328125e-01 6.4115452766418457e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 94 4.5832890464225784e-05</internalNodes>
-          <leafValues>
-            -5.8493572473526001e-01 2.5314238667488098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 95 -9.9875287560280412e-05</internalNodes>
-          <leafValues>
-            3.6051398515701294e-01 -5.3231191635131836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 96 -1.1277929879724979e-02</internalNodes>
-          <leafValues>
-            2.7766379714012146e-01 -2.4176590144634247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 97 -1.5279600024223328e-01</internalNodes>
-          <leafValues>
-            8.3433318138122559e-01 -1.8692030012607574e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 98 -3.6294270306825638e-02</internalNodes>
-          <leafValues>
-            3.9919948577880859e-01 -4.1119259595870972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 99 -4.5436818152666092e-02</internalNodes>
-          <leafValues>
-            6.8093067407608032e-01 -1.4669400453567505e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>13</maxWeakCount>
-      <stageThreshold>-1.8404649496078491e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 100 1.6328740119934082e-01</internalNodes>
-          <leafValues>
-            -6.0435330867767334e-01 5.5052411556243896e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 101 9.7092619398608804e-05</internalNodes>
-          <leafValues>
-            -9.0228801965713501e-01 2.6281669735908508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 102 -2.7205731021240354e-04</internalNodes>
-          <leafValues>
-            2.8341010212898254e-01 -8.1372922658920288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 103 1.8128680530935526e-03</internalNodes>
-          <leafValues>
-            -8.3362382650375366e-01 2.1307690441608429e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 104 -8.7052993476390839e-03</internalNodes>
-          <leafValues>
-            2.8303650021553040e-01 -7.2392731904983521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 105 -5.6872398999985307e-05</internalNodes>
-          <leafValues>
-            1.3844889402389526e-01 -5.0287842750549316e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 106 3.7435539066791534e-02</internalNodes>
-          <leafValues>
-            -1.0564589872956276e-02 -1.5556719970703125e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 107 1.5324270352721214e-02</internalNodes>
-          <leafValues>
-            1.3988590240478516e-01 -6.1316817998886108e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 108 2.1410979330539703e-02</internalNodes>
-          <leafValues>
-            -2.2393199801445007e-01 5.6233572959899902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 109 1.9795040134340525e-04</internalNodes>
-          <leafValues>
-            -2.3459529876708984e-01 1.3877849280834198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 110 -5.1461639814078808e-03</internalNodes>
-          <leafValues>
-            -8.9666271209716797e-01 1.4354419708251953e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 111 -3.3491749316453934e-02</internalNodes>
-          <leafValues>
-            8.1797057390213013e-01 -8.1737898290157318e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 112 -7.3674921877682209e-03</internalNodes>
-          <leafValues>
-            -6.5259951353073120e-01 1.7211680114269257e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>20</maxWeakCount>
-      <stageThreshold>-1.3563539981842041e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 113 7.3508180677890778e-02</internalNodes>
-          <leafValues>
-            -4.6614921092987061e-01 5.0694358348846436e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 114 8.5386466234922409e-03</internalNodes>
-          <leafValues>
-            -2.4482139945030212e-01 6.0921180248260498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 115 2.2265550494194031e-01</internalNodes>
-          <leafValues>
-            -2.3087610304355621e-01 4.4181710481643677e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 116 7.4994042515754700e-02</internalNodes>
-          <leafValues>
-            1.1506160348653793e-01 -5.5417829751968384e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 117 -1.6755120456218719e-01</internalNodes>
-          <leafValues>
-            7.4653017520904541e-01 -1.3431079685688019e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 118 -2.4138720706105232e-02</internalNodes>
-          <leafValues>
-            -4.9592089653015137e-01 6.2578730285167694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 119 1.1620320379734039e-02</internalNodes>
-          <leafValues>
-            -1.7977459728717804e-01 5.6873577833175659e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 120 4.8821419477462769e-02</internalNodes>
-          <leafValues>
-            4.2774148285388947e-02 -6.0440838336944580e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 121 3.5715501755475998e-02</internalNodes>
-          <leafValues>
-            -2.0169410109519958e-01 5.1855558156967163e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 122 -1.7011469230055809e-02</internalNodes>
-          <leafValues>
-            -6.6163742542266846e-01 4.5137479901313782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 123 -1.6027579084038734e-02</internalNodes>
-          <leafValues>
-            5.4205197095870972e-01 -1.8311430513858795e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 124 9.6712950617074966e-03</internalNodes>
-          <leafValues>
-            3.4085698425769806e-02 -3.6544409394264221e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 125 -1.0325650218874216e-03</internalNodes>
-          <leafValues>
-            -7.0559221506118774e-01 1.2839829921722412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 126 -5.7438347721472383e-04</internalNodes>
-          <leafValues>
-            2.0413300395011902e-01 -4.6021059155464172e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 127 1.2579349568113685e-03</internalNodes>
-          <leafValues>
-            1.9696569442749023e-01 -4.9659618735313416e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 128 -2.3272659629583359e-02</internalNodes>
-          <leafValues>
-            -6.4083862304687500e-01 -1.3145440258085728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 129 -4.8163738101720810e-03</internalNodes>
-          <leafValues>
-            -7.4635922908782959e-01 1.1569319665431976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 130 2.6880908990278840e-04</internalNodes>
-          <leafValues>
-            -1.7020240426063538e-01 1.0989090055227280e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 131 -9.1302618384361267e-03</internalNodes>
-          <leafValues>
-            -8.6084252595901489e-01 1.0507579892873764e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 132 1.5290869772434235e-01</internalNodes>
-          <leafValues>
-            -3.0442950129508972e-01 2.9691061377525330e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>27</maxWeakCount>
-      <stageThreshold>-1.4800649881362915e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 133 1.0870260000228882e-01</internalNodes>
-          <leafValues>
-            -3.9208391308784485e-01 4.2441639304161072e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 134 -8.5436011431738734e-05</internalNodes>
-          <leafValues>
-            1.1648490279912949e-01 -1.2261509895324707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 135 8.7897274643182755e-03</internalNodes>
-          <leafValues>
-            -2.2223709523677826e-01 5.8239942789077759e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 136 1.9092390313744545e-02</internalNodes>
-          <leafValues>
-            -2.8222650289535522e-01 3.4780630469322205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 137 -1.4692190103232861e-02</internalNodes>
-          <leafValues>
-            2.4436180293560028e-01 -4.4442260265350342e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 138 1.7424240708351135e-02</internalNodes>
-          <leafValues>
-            3.9642699062824249e-02 -5.0866502523422241e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 139 6.9210886955261230e-02</internalNodes>
-          <leafValues>
-            -1.5061080455780029e-01 5.4918211698532104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 140 1.1516460031270981e-01</internalNodes>
-          <leafValues>
-            4.7058542259037495e-03 -6.0872167348861694e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 141 -9.0783968567848206e-02</internalNodes>
-          <leafValues>
-            7.6661890745162964e-01 -1.1532770097255707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 142 9.3459866940975189e-02</internalNodes>
-          <leafValues>
-            7.7324211597442627e-02 -7.2869849205017090e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 143 1.4063410460948944e-01</internalNodes>
-          <leafValues>
-            -3.0280780792236328e-01 2.9996991157531738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 144 7.5702848844230175e-03</internalNodes>
-          <leafValues>
-            -2.5590381026268005e-01 3.4416630864143372e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 145 8.1542655825614929e-03</internalNodes>
-          <leafValues>
-            1.2018810212612152e-01 -8.5254168510437012e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 146 8.7357666343450546e-03</internalNodes>
-          <leafValues>
-            -1.2177339941263199e-01 8.2226127386093140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 147 -6.9444780237972736e-03</internalNodes>
-          <leafValues>
-            -6.1111962795257568e-01 1.3486449420452118e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 148 -4.3000229634344578e-03</internalNodes>
-          <leafValues>
-            -3.4730020165443420e-01 4.4554490596055984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 149 4.0720161050558090e-02</internalNodes>
-          <leafValues>
-            -1.2618629634380341e-01 6.0286152362823486e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 150 -1.0009969584643841e-02</internalNodes>
-          <leafValues>
-            -4.5014089345932007e-01 1.8092009425163269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 151 1.1742020025849342e-02</internalNodes>
-          <leafValues>
-            8.1721372902393341e-02 -8.0739098787307739e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 152 -9.7789859864860773e-04</internalNodes>
-          <leafValues>
-            6.6041916608810425e-02 -1.4142000675201416e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 153 3.4487970173358917e-02</internalNodes>
-          <leafValues>
-            1.0488150268793106e-01 -7.1635431051254272e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 154 -2.4215620011091232e-02</internalNodes>
-          <leafValues>
-            -5.9454482793807983e-01 1.2400969862937927e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 155 -3.7082370370626450e-02</internalNodes>
-          <leafValues>
-            6.5830427408218384e-01 -1.2158200144767761e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 156 -4.3632909655570984e-03</internalNodes>
-          <leafValues>
-            -6.5290719270706177e-01 1.2228529900312424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 157 -4.1692638769745827e-03</internalNodes>
-          <leafValues>
-            -7.3107779026031494e-01 7.7946297824382782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 158 6.0636870563030243e-02</internalNodes>
-          <leafValues>
-            -1.3061979785561562e-02 -8.0408149957656860e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 159 1.5371589921414852e-02</internalNodes>
-          <leafValues>
-            7.9872779548168182e-02 -8.5363340377807617e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>25</maxWeakCount>
-      <stageThreshold>-1.3590339422225952e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 160 1.5033720061182976e-02</internalNodes>
-          <leafValues>
-            -5.3333657979965210e-01 3.4096190333366394e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 161 -8.9624240994453430e-02</internalNodes>
-          <leafValues>
-            1.8991500139236450e-01 -2.1448349952697754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 162 -5.1495251245796680e-03</internalNodes>
-          <leafValues>
-            3.6764401197433472e-01 -3.1621339917182922e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 163 5.6887358427047729e-02</internalNodes>
-          <leafValues>
-            -2.7120190858840942e-01 3.4590399265289307e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 164 -1.2673810124397278e-01</internalNodes>
-          <leafValues>
-            8.4647309780120850e-01 -6.7630723118782043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 165 -1.0681120306253433e-01</internalNodes>
-          <leafValues>
-            -2.8982621431350708e-01 8.3181828260421753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 166 1.7475779354572296e-01</internalNodes>
-          <leafValues>
-            -3.5948398709297180e-01 3.1073129177093506e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 167 -2.4629090912640095e-03</internalNodes>
-          <leafValues>
-            -6.7824071645736694e-01 1.1908339709043503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 168 6.6053359769284725e-03</internalNodes>
-          <leafValues>
-            -2.4560730159282684e-01 3.7791371345520020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 169 1.0148379806196317e-04</internalNodes>
-          <leafValues>
-            -1.0097169876098633e-01 8.2711093127727509e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 170 -1.8523789942264557e-02</internalNodes>
-          <leafValues>
-            -4.4592261314392090e-01 1.6946080327033997e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 171 3.6602010950446129e-03</internalNodes>
-          <leafValues>
-            -1.0477670282125473e-01 9.4992779195308685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 172 -1.0257829912006855e-02</internalNodes>
-          <leafValues>
-            4.3351659178733826e-01 -1.6978879272937775e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 173 -9.8685777629725635e-05</internalNodes>
-          <leafValues>
-            1.7843760550022125e-01 -2.6428279280662537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 174 -1.2446290347725153e-03</internalNodes>
-          <leafValues>
-            -7.2253531217575073e-01 1.0615690052509308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 175 1.1974680091952905e-04</internalNodes>
-          <leafValues>
-            -3.0318620800971985e-01 1.4623160660266876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 176 1.2079760199412704e-03</internalNodes>
-          <leafValues>
-            1.3531659543514252e-01 -5.0457692146301270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 177 -1.9425910711288452e-01</internalNodes>
-          <leafValues>
-            -7.1733701229095459e-01 8.0573573708534241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 178 1.8599320203065872e-02</internalNodes>
-          <leafValues>
-            -1.6972489655017853e-01 4.2669999599456787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 179 3.0704800039529800e-02</internalNodes>
-          <leafValues>
-            3.2838109880685806e-02 -7.2923952341079712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 180 2.1680949255824089e-02</internalNodes>
-          <leafValues>
-            -1.6750890016555786e-01 4.4789049029350281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 181 5.5604660883545876e-03</internalNodes>
-          <leafValues>
-            9.6391409635543823e-02 -6.6830247640609741e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 182 -5.6784078478813171e-03</internalNodes>
-          <leafValues>
-            -8.2064878940582275e-01 6.2949016690254211e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 183 -3.0219739302992821e-02</internalNodes>
-          <leafValues>
-            3.3288109302520752e-01 -8.1444039940834045e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 184 2.4341929703950882e-02</internalNodes>
-          <leafValues>
-            9.3220241367816925e-02 -6.9502758979797363e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>32</maxWeakCount>
-      <stageThreshold>-1.4373550415039062e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 185 -3.9169401861727238e-03</internalNodes>
-          <leafValues>
-            4.5325928926467896e-01 -3.0284589529037476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 186 1.0800900310277939e-01</internalNodes>
-          <leafValues>
-            3.6738589406013489e-02 -7.2782218456268311e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 187 1.5356090664863586e-01</internalNodes>
-          <leafValues>
-            -3.8900190591812134e-01 3.1287321448326111e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 188 8.7726805359125137e-03</internalNodes>
-          <leafValues>
-            -1.5705280005931854e-01 8.2666940987110138e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 189 -1.0571720078587532e-02</internalNodes>
-          <leafValues>
-            2.4971100687980652e-01 -4.7014111280441284e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 190 2.7240550145506859e-02</internalNodes>
-          <leafValues>
-            6.0097638517618179e-02 -6.6213667392730713e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 191 -3.6633450537919998e-02</internalNodes>
-          <leafValues>
-            5.1044297218322754e-01 -1.7766149342060089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 192 1.3806289434432983e-01</internalNodes>
-          <leafValues>
-            -4.0644191205501556e-02 7.8849452733993530e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 193 9.4720393419265747e-02</internalNodes>
-          <leafValues>
-            -4.3654170632362366e-01 1.9054649770259857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 194 -3.3387150615453720e-03</internalNodes>
-          <leafValues>
-            -6.8457669019699097e-01 9.6802540123462677e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 195 1.1899480159627274e-04</internalNodes>
-          <leafValues>
-            -3.5843661427497864e-01 2.2279889881610870e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 196 2.9007149860262871e-03</internalNodes>
-          <leafValues>
-            -1.5845039486885071e-01 6.6679857671260834e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 197 1.2376639991998672e-02</internalNodes>
-          <leafValues>
-            -1.4206279814243317e-01 4.9320921301841736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 198 6.0215988196432590e-03</internalNodes>
-          <leafValues>
-            -1.4971609413623810e-01 2.1797719597816467e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 199 -1.6887940466403961e-01</internalNodes>
-          <leafValues>
-            7.1833407878875732e-01 -1.1091569811105728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 200 -7.4033271521329880e-03</internalNodes>
-          <leafValues>
-            2.2573550045490265e-01 -3.2993030548095703e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 201 -6.5029351972043514e-03</internalNodes>
-          <leafValues>
-            4.7018998861312866e-01 -1.5201370418071747e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 202 1.7706790240481496e-03</internalNodes>
-          <leafValues>
-            -1.4644999802112579e-01 9.4745017588138580e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 203 1.7085459083318710e-02</internalNodes>
-          <leafValues>
-            8.5357367992401123e-02 -8.2599818706512451e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 204 -5.3032718598842621e-02</internalNodes>
-          <leafValues>
-            -6.5861982107162476e-01 -1.3727230252698064e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 205 2.7725089341402054e-02</internalNodes>
-          <leafValues>
-            -1.4935420453548431e-01 4.4009518623352051e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 206 5.8685488998889923e-02</internalNodes>
-          <leafValues>
-            7.8679984435439110e-03 -4.4109138846397400e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 207 -1.0465820319950581e-02</internalNodes>
-          <leafValues>
-            -5.8385229110717773e-01 1.0567150264978409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 208 -4.4063638895750046e-02</internalNodes>
-          <leafValues>
-            -5.9246909618377686e-01 5.7151052169501781e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 209 -1.1932180263102055e-02</internalNodes>
-          <leafValues>
-            2.3818169534206390e-01 -2.8293299674987793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 210 -1.2644910020753741e-03</internalNodes>
-          <leafValues>
-            1.0124749690294266e-01 -3.3939999341964722e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 211 -1.8404610455036163e-03</internalNodes>
-          <leafValues>
-            -6.7492902278900146e-01 9.5524467527866364e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 212 -7.9289656132459641e-03</internalNodes>
-          <leafValues>
-            -6.7770427465438843e-01 3.4221731126308441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 213 5.7004559785127640e-03</internalNodes>
-          <leafValues>
-            -1.3198739290237427e-01 4.2710319161415100e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 214 1.8237680196762085e-02</internalNodes>
-          <leafValues>
-            3.0692299827933311e-02 -8.6847299337387085e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 215 3.2086670398712158e-03</internalNodes>
-          <leafValues>
-            -1.3335919380187988e-01 4.3883138895034790e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 216 1.2446580454707146e-02</internalNodes>
-          <leafValues>
-            2.9371360316872597e-02 -7.8926819562911987e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>34</maxWeakCount>
-      <stageThreshold>-1.3898090124130249e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 217 -1.2674730271100998e-02</internalNodes>
-          <leafValues>
-            5.0484418869018555e-01 -2.5669950246810913e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 218 1.1808129958808422e-02</internalNodes>
-          <leafValues>
-            6.3001699745655060e-02 -4.0641498565673828e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 219 2.5127220433205366e-03</internalNodes>
-          <leafValues>
-            -3.2253271341323853e-01 3.6614939570426941e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 220 -3.5469220019876957e-03</internalNodes>
-          <leafValues>
-            1.9579920172691345e-01 -1.5416850149631500e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 221 3.9148680865764618e-02</internalNodes>
-          <leafValues>
-            -2.5791868567466736e-01 3.3852350711822510e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 222 1.3151739537715912e-01</internalNodes>
-          <leafValues>
-            2.7472509071230888e-02 -5.5891007184982300e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 223 -1.6689460724592209e-02</internalNodes>
-          <leafValues>
-            1.4658740162849426e-01 -5.2727991342544556e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 224 6.4351540058851242e-03</internalNodes>
-          <leafValues>
-            -1.2016840279102325e-01 1.8379710614681244e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 225 -6.3846178352832794e-02</internalNodes>
-          <leafValues>
-            7.5390338897705078e-01 -1.0603629797697067e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 226 -4.6943090856075287e-03</internalNodes>
-          <leafValues>
-            2.0730340480804443e-01 -1.6408169269561768e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 227 1.1263520456850529e-02</internalNodes>
-          <leafValues>
-            1.0285060107707977e-01 -7.2724348306655884e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 228 1.0440419428050518e-03</internalNodes>
-          <leafValues>
-            1.3197229802608490e-01 -6.4476031064987183e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 229 2.9053710401058197e-02</internalNodes>
-          <leafValues>
-            -3.2099440693855286e-01 1.9499249756336212e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 230 1.2985640205442905e-02</internalNodes>
-          <leafValues>
-            -6.2498811632394791e-02 2.6551690697669983e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 231 1.4938330277800560e-02</internalNodes>
-          <leafValues>
-            8.0150052905082703e-02 -7.6676148176193237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 232 -3.4180350601673126e-02</internalNodes>
-          <leafValues>
-            -5.1320338249206543e-01 -3.6074419040232897e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 233 4.3761111795902252e-02</internalNodes>
-          <leafValues>
-            -1.4384460449218750e-01 4.2616510391235352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 234 -1.1876770295202732e-03</internalNodes>
-          <leafValues>
-            1.4837500452995300e-01 -5.0197489559650421e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 235 -1.3196719810366631e-02</internalNodes>
-          <leafValues>
-            -7.6232409477233887e-01 7.9683482646942139e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 236 -1.4940570108592510e-03</internalNodes>
-          <leafValues>
-            2.2585479915142059e-01 -1.0884329676628113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 237 9.9800303578376770e-03</internalNodes>
-          <leafValues>
-            7.7047176659107208e-02 -8.1608718633651733e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 238 1.3630810426548123e-03</internalNodes>
-          <leafValues>
-            -1.0334450006484985e-01 2.0994339883327484e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 239 -2.6497698854655027e-03</internalNodes>
-          <leafValues>
-            4.8666700720787048e-01 -1.2183590233325958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 240 2.9017059132456779e-02</internalNodes>
-          <leafValues>
-            3.0331170186400414e-02 -5.4417270421981812e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 241 1.7291629686951637e-02</internalNodes>
-          <leafValues>
-            -1.3578090071678162e-01 4.4251319766044617e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 242 1.9144080579280853e-03</internalNodes>
-          <leafValues>
-            -8.2041606307029724e-02 1.1203309893608093e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 243 9.2138089239597321e-03</internalNodes>
-          <leafValues>
-            9.5674678683280945e-02 -7.1387839317321777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 244 1.9401769340038300e-01</internalNodes>
-          <leafValues>
-            -3.3527439832687378e-01 1.6470989584922791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 245 -8.9092198759317398e-03</internalNodes>
-          <leafValues>
-            4.5958560705184937e-01 -1.3180640339851379e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 246 -1.6158509999513626e-02</internalNodes>
-          <leafValues>
-            -8.8425397872924805e-01 3.6370448768138885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 247 -4.3315120041370392e-02</internalNodes>
-          <leafValues>
-            3.5693758726119995e-01 -1.4853119850158691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 248 -6.0759939253330231e-02</internalNodes>
-          <leafValues>
-            3.1768760085105896e-01 -1.8056009709835052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 249 -2.8645009733736515e-03</internalNodes>
-          <leafValues>
-            5.3059607744216919e-01 -1.1261919885873795e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 250 1.1360960081219673e-02</internalNodes>
-          <leafValues>
-            3.5099871456623077e-02 -4.7815018892288208e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>37</maxWeakCount>
-      <stageThreshold>-1.3544019460678101e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 251 1.3970459811389446e-02</internalNodes>
-          <leafValues>
-            -3.0530300736427307e-01 4.1125300526618958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 252 -1.1679069697856903e-01</internalNodes>
-          <leafValues>
-            1.4812999963760376e-01 -7.0709809660911560e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 253 1.6397690400481224e-02</internalNodes>
-          <leafValues>
-            -3.0543169379234314e-01 3.0162781476974487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 254 -2.0286109298467636e-02</internalNodes>
-          <leafValues>
-            -2.3618179559707642e-01 1.2187310308218002e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 255 3.3962181210517883e-01</internalNodes>
-          <leafValues>
-            -2.3415289819240570e-01 3.7955328822135925e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 256 8.0632884055376053e-03</internalNodes>
-          <leafValues>
-            -5.6521987915039062e-01 1.2719720602035522e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 257 -1.4234139816835523e-03</internalNodes>
-          <leafValues>
-            -5.8998572826385498e-01 1.1668500304222107e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 258 3.9983680471777916e-03</internalNodes>
-          <leafValues>
-            -9.9398262798786163e-02 1.2795600295066833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 259 -9.4549506902694702e-03</internalNodes>
-          <leafValues>
-            -5.6156420707702637e-01 9.9381953477859497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 260 3.7270709872245789e-02</internalNodes>
-          <leafValues>
-            8.4691196680068970e-02 -6.5302717685699463e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 261 8.1806071102619171e-03</internalNodes>
-          <leafValues>
-            6.4047202467918396e-02 -7.3235487937927246e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 262 6.7418292164802551e-02</internalNodes>
-          <leafValues>
-            4.3028471991419792e-03 -6.2574678659439087e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 263 1.8985599279403687e-02</internalNodes>
-          <leafValues>
-            7.0422857999801636e-02 -7.7566891908645630e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 264 -3.0685300589539111e-04</internalNodes>
-          <leafValues>
-            6.0799881815910339e-02 -7.3534972965717316e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 265 1.0786009952425957e-02</internalNodes>
-          <leafValues>
-            -1.2505950033664703e-01 4.8208248615264893e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 266 6.9674388505518436e-03</internalNodes>
-          <leafValues>
-            8.3264723420143127e-02 -6.9356048107147217e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 267 1.2767270207405090e-02</internalNodes>
-          <leafValues>
-            6.4788013696670532e-02 -7.0968890190124512e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 268 -1.4131699688732624e-02</internalNodes>
-          <leafValues>
-            -7.5622642040252686e-01 2.0618569105863571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 269 -1.5918679535388947e-02</internalNodes>
-          <leafValues>
-            1.9603510200977325e-01 -2.7034899592399597e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 270 9.9455211311578751e-03</internalNodes>
-          <leafValues>
-            -4.3780571222305298e-01 1.1859329789876938e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 271 1.5286459587514400e-02</internalNodes>
-          <leafValues>
-            -1.9513919949531555e-01 2.6915138959884644e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 272 5.9025101363658905e-03</internalNodes>
-          <leafValues>
-            -1.6288129985332489e-01 3.6743709444999695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 273 -6.9729480892419815e-03</internalNodes>
-          <leafValues>
-            4.6202778816223145e-01 -1.5376560389995575e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 274 -1.9449390470981598e-02</internalNodes>
-          <leafValues>
-            -5.3632599115371704e-01 3.1576488167047501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 275 -4.7259521670639515e-03</internalNodes>
-          <leafValues>
-            -7.3517972230911255e-01 7.3678806424140930e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 276 -8.5517195984721184e-03</internalNodes>
-          <leafValues>
-            3.5986369848251343e-01 -1.2420760095119476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 277 -9.8964512348175049e-02</internalNodes>
-          <leafValues>
-            6.2507808208465576e-01 -8.6647883057594299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 278 -1.7731260508298874e-02</internalNodes>
-          <leafValues>
-            -5.7925891876220703e-01 2.5198649615049362e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 279 -2.9190430417656898e-02</internalNodes>
-          <leafValues>
-            5.7298821210861206e-01 -1.0151000320911407e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 280 5.4621109738945961e-03</internalNodes>
-          <leafValues>
-            4.4515479356050491e-02 -6.6922581195831299e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 281 -6.8695018999278545e-03</internalNodes>
-          <leafValues>
-            -5.8384990692138672e-01 8.7239846587181091e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 282 -1.7049070447683334e-03</internalNodes>
-          <leafValues>
-            2.2694580256938934e-01 -8.1620521843433380e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 283 5.8957659639418125e-03</internalNodes>
-          <leafValues>
-            -1.1778759956359863e-01 4.2724978923797607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 284 8.5842777043581009e-03</internalNodes>
-          <leafValues>
-            -5.4629139602184296e-02 1.0813979804515839e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 285 1.2934260070323944e-02</internalNodes>
-          <leafValues>
-            7.0849359035491943e-02 -7.3857682943344116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 286 1.9973270595073700e-02</internalNodes>
-          <leafValues>
-            1.6626559663563967e-03 -7.6631492376327515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 287 5.5011189542710781e-03</internalNodes>
-          <leafValues>
-            8.9468717575073242e-02 -5.3985279798507690e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>38</maxWeakCount>
-      <stageThreshold>-1.3085269927978516e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 288 7.9501233994960785e-03</internalNodes>
-          <leafValues>
-            -2.7952459454536438e-01 4.3506631255149841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 289 -1.5085919760167599e-02</internalNodes>
-          <leafValues>
-            5.9209001064300537e-01 -1.6481369733810425e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 290 1.9475109875202179e-01</internalNodes>
-          <leafValues>
-            -3.1889539957046509e-01 2.8196701407432556e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 291 -2.4689928977750242e-04</internalNodes>
-          <leafValues>
-            9.6763692796230316e-02 -1.8406489491462708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 292 5.2499058656394482e-03</internalNodes>
-          <leafValues>
-            1.5704880654811859e-01 -5.2710950374603271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 293 -1.2732569302897900e-04</internalNodes>
-          <leafValues>
-            5.3218118846416473e-02 -1.6152860224246979e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 294 -6.5984549000859261e-03</internalNodes>
-          <leafValues>
-            2.1844869852066040e-01 -3.7529769539833069e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 295 -1.2836559675633907e-02</internalNodes>
-          <leafValues>
-            6.1008229851722717e-02 -1.1862020194530487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 296 -1.4707820117473602e-01</internalNodes>
-          <leafValues>
-            7.9065358638763428e-01 -9.4447426497936249e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 297 4.8533070832490921e-02</internalNodes>
-          <leafValues>
-            4.9431171268224716e-02 -5.9807902574539185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 298 4.1398849338293076e-02</internalNodes>
-          <leafValues>
-            -3.1118649244308472e-01 2.4850000441074371e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 299 5.9322831220924854e-03</internalNodes>
-          <leafValues>
-            -1.9105120003223419e-01 2.6189088821411133e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 300 6.1201062053442001e-03</internalNodes>
-          <leafValues>
-            -1.4400300383567810e-01 3.8592028617858887e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 301 -1.2118129990994930e-02</internalNodes>
-          <leafValues>
-            -5.7840502262115479e-01 3.1328909099102020e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 302 7.5321048498153687e-03</internalNodes>
-          <leafValues>
-            7.6200783252716064e-02 -7.1263229846954346e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 303 9.4633679836988449e-03</internalNodes>
-          <leafValues>
-            -8.1573672592639923e-02 1.5981380641460419e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 304 -6.4435349777340889e-03</internalNodes>
-          <leafValues>
-            -8.9533412456512451e-01 6.0908339917659760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 305 -1.3353319838643074e-02</internalNodes>
-          <leafValues>
-            5.0735729932785034e-01 -1.4220820367336273e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 306 -4.8206631094217300e-02</internalNodes>
-          <leafValues>
-            -7.0776158571243286e-01 8.7017923593521118e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 307 -8.6862186435610056e-05</internalNodes>
-          <leafValues>
-            9.2491082847118378e-02 -1.9064180552959442e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 308 3.5890119615942240e-03</internalNodes>
-          <leafValues>
-            -1.1369240283966064e-01 4.5717659592628479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 309 2.5103650987148285e-03</internalNodes>
-          <leafValues>
-            -9.6626877784729004e-02 2.8315341472625732e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 310 -1.6438219463452697e-03</internalNodes>
-          <leafValues>
-            -6.8512988090515137e-01 8.4855683147907257e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 311 -1.1147640179842710e-03</internalNodes>
-          <leafValues>
-            2.0340760052204132e-01 -9.5162183046340942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 312 3.3129220828413963e-03</internalNodes>
-          <leafValues>
-            -1.2348870187997818e-01 4.5109578967094421e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 313 1.2473019771277905e-02</internalNodes>
-          <leafValues>
-            8.5647627711296082e-02 -1.7752259969711304e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 314 1.1887500062584877e-02</internalNodes>
-          <leafValues>
-            7.9497292637825012e-02 -7.1333557367324829e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 315 4.6640802174806595e-03</internalNodes>
-          <leafValues>
-            -1.1890850216150284e-01 1.6375760734081268e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 316 -7.5049358420073986e-03</internalNodes>
-          <leafValues>
-            4.5544099807739258e-01 -1.2412810325622559e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 317 1.7780659720301628e-02</internalNodes>
-          <leafValues>
-            -1.0757599771022797e-01 1.6240009665489197e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 318 -6.5337750129401684e-03</internalNodes>
-          <leafValues>
-            4.3141070008277893e-01 -1.2603540718555450e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 319 -2.4446230381727219e-02</internalNodes>
-          <leafValues>
-            -6.6479730606079102e-01 1.9722750410437584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 320 6.8284119479358196e-03</internalNodes>
-          <leafValues>
-            8.7926700711250305e-02 -5.4765981435775757e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 321 -1.7527850344777107e-02</internalNodes>
-          <leafValues>
-            -4.7350269556045532e-01 1.8452549353241920e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 322 -5.6044701486825943e-03</internalNodes>
-          <leafValues>
-            1.6700869798660278e-01 -2.8558060526847839e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 323 5.6587088853120804e-02</internalNodes>
-          <leafValues>
-            9.8792626522481441e-04 -9.0761202573776245e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 324 -9.1678956523537636e-03</internalNodes>
-          <leafValues>
-            -5.7369470596313477e-01 8.6971327662467957e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 325 -7.9324431717395782e-03</internalNodes>
-          <leafValues>
-            -7.1619319915771484e-01 4.7531701624393463e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>44</maxWeakCount>
-      <stageThreshold>-1.3564130067825317e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 326 1.1259860359132290e-02</internalNodes>
-          <leafValues>
-            -3.2671540975570679e-01 3.7448620796203613e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 327 -8.0411562521476299e-05</internalNodes>
-          <leafValues>
-            1.3456510007381439e-01 -3.5597088932991028e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 328 -1.0097360238432884e-02</internalNodes>
-          <leafValues>
-            4.2515400052070618e-01 -2.0356260240077972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 329 -9.5205657184123993e-02</internalNodes>
-          <leafValues>
-            -2.6214841008186340e-01 4.4497821480035782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 330 2.1976239979267120e-01</internalNodes>
-          <leafValues>
-            -2.6376900076866150e-01 2.7963450551033020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 331 -1.4373429585248232e-03</internalNodes>
-          <leafValues>
-            1.9384309649467468e-01 -6.6377736628055573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 332 -2.1600460633635521e-02</internalNodes>
-          <leafValues>
-            5.2735280990600586e-01 -1.1125139892101288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 333 8.8454764336347580e-03</internalNodes>
-          <leafValues>
-            -1.6414600610733032e-01 1.7835170030593872e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 334 3.5627551376819611e-02</internalNodes>
-          <leafValues>
-            -5.0226557254791260e-01 1.2036989629268646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 335 1.9948599860072136e-02</internalNodes>
-          <leafValues>
-            -2.4443860352039337e-01 2.0503400266170502e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 336 -3.0674149747937918e-03</internalNodes>
-          <leafValues>
-            -5.3477287292480469e-01 1.1543580144643784e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 337 -1.2012269580736756e-03</internalNodes>
-          <leafValues>
-            1.2676300108432770e-01 -1.3938720524311066e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 338 1.7143359407782555e-02</internalNodes>
-          <leafValues>
-            -1.0488930344581604e-01 4.8458871245384216e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 339 7.7037338633090258e-04</internalNodes>
-          <leafValues>
-            -2.6416009664535522e-01 1.3753029704093933e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 340 1.9928140100091696e-03</internalNodes>
-          <leafValues>
-            1.0820219665765762e-01 -4.6027541160583496e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 341 8.1858411431312561e-03</internalNodes>
-          <leafValues>
-            -1.1870039999485016e-01 1.8429510295391083e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 342 2.0016850531101227e-01</internalNodes>
-          <leafValues>
-            -7.7433213591575623e-02 6.7445492744445801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 343 -1.2134050019085407e-02</internalNodes>
-          <leafValues>
-            4.5361760258674622e-01 -3.2230481505393982e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 344 1.1809550225734711e-02</internalNodes>
-          <leafValues>
-            -1.5140220522880554e-01 4.1091579198837280e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 345 -5.3903311491012573e-02</internalNodes>
-          <leafValues>
-            2.4644249677658081e-01 -1.6336809843778610e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 346 2.5369100272655487e-02</internalNodes>
-          <leafValues>
-            5.7606618851423264e-02 -8.1810200214385986e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 347 4.0477071888744831e-03</internalNodes>
-          <leafValues>
-            3.4279700368642807e-02 -3.8912689685821533e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 348 2.3273769766092300e-03</internalNodes>
-          <leafValues>
-            -2.6318120956420898e-01 2.0111019909381866e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 349 -1.4055520296096802e-02</internalNodes>
-          <leafValues>
-            -4.5798641443252563e-01 1.0322000086307526e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 350 4.1040539741516113e-02</internalNodes>
-          <leafValues>
-            -1.0665339976549149e-01 4.9921628832817078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 351 1.7403350211679935e-03</internalNodes>
-          <leafValues>
-            -3.0963689088821411e-02 9.0507246553897858e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 352 -5.9111667796969414e-03</internalNodes>
-          <leafValues>
-            -6.9301342964172363e-01 7.1324340999126434e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 353 -8.4086872637271881e-02</internalNodes>
-          <leafValues>
-            4.6972590684890747e-01 -4.9859449267387390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 354 1.2733220355585217e-03</internalNodes>
-          <leafValues>
-            -3.5704851150512695e-01 1.3806779682636261e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 355 5.9486827813088894e-03</internalNodes>
-          <leafValues>
-            -1.5816900134086609e-01 2.8468400239944458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 356 -8.6815077811479568e-03</internalNodes>
-          <leafValues>
-            -7.6587718725204468e-01 6.2390629202127457e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 357 -1.0674200020730495e-02</internalNodes>
-          <leafValues>
-            -5.5144512653350830e-01 5.6196320801973343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 358 1.7951499670743942e-02</internalNodes>
-          <leafValues>
-            6.1362300068140030e-02 -6.4841997623443604e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 359 1.9660689576994628e-04</internalNodes>
-          <leafValues>
-            -1.4563970267772675e-01 9.5173902809619904e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 360 -1.3475000159814954e-03</internalNodes>
-          <leafValues>
-            -3.9846318960189819e-01 1.0717230290174484e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 361 1.3271289644762874e-03</internalNodes>
-          <leafValues>
-            -7.6305247843265533e-02 1.5964789688587189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 362 3.9857891388237476e-03</internalNodes>
-          <leafValues>
-            -1.0918959975242615e-01 3.6956569552421570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 363 1.7747710226103663e-03</internalNodes>
-          <leafValues>
-            -5.8550398796796799e-02 7.1181796491146088e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 364 -6.9627179764211178e-03</internalNodes>
-          <leafValues>
-            3.6977839469909668e-01 -1.1677960306406021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 365 -9.0530123561620712e-03</internalNodes>
-          <leafValues>
-            -5.3131139278411865e-01 4.2773369699716568e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 366 -5.0673801451921463e-02</internalNodes>
-          <leafValues>
-            6.5122097730636597e-01 -6.6222466528415680e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 367 -9.9803637713193893e-03</internalNodes>
-          <leafValues>
-            1.7810410261154175e-01 -4.8675179481506348e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 368 1.0967300273478031e-02</internalNodes>
-          <leafValues>
-            6.3715361058712006e-02 -7.0216029882431030e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 369 7.1746408939361572e-03</internalNodes>
-          <leafValues>
-            -9.5948472619056702e-02 1.5818059444427490e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>45</maxWeakCount>
-      <stageThreshold>-1.2748670578002930e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 370 -1.4637179672718048e-02</internalNodes>
-          <leafValues>
-            4.5756229758262634e-01 -2.5793579220771790e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 371 -1.1372080189175904e-04</internalNodes>
-          <leafValues>
-            1.4856390655040741e-01 -1.3528409600257874e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 372 6.3527049496769905e-03</internalNodes>
-          <leafValues>
-            -1.8282939493656158e-01 5.0529718399047852e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 373 2.4946528719738126e-04</internalNodes>
-          <leafValues>
-            -3.5463958978652954e-01 1.1956059932708740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 374 8.5882786661386490e-03</internalNodes>
-          <leafValues>
-            -3.6795818805694580e-01 1.9289310276508331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 375 -5.3795471787452698e-02</internalNodes>
-          <leafValues>
-            -9.2534601688385010e-01 -3.0407099984586239e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 376 -1.2914909981191158e-02</internalNodes>
-          <leafValues>
-            2.0769760012626648e-01 -2.8073310852050781e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 377 6.5217018127441406e-02</internalNodes>
-          <leafValues>
-            9.1229602694511414e-02 -3.9509040117263794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 378 -1.5482950024306774e-02</internalNodes>
-          <leafValues>
-            5.5492401123046875e-01 -1.0178919881582260e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 379 -7.0964470505714417e-02</internalNodes>
-          <leafValues>
-            -6.0590541362762451e-01 3.3235780894756317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 380 -1.4792110025882721e-01</internalNodes>
-          <leafValues>
-            6.8140488862991333e-01 -9.2882059514522552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 381 3.2156299799680710e-02</internalNodes>
-          <leafValues>
-            -1.3000990450382233e-01 1.6143409907817841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 382 -5.5202730000019073e-03</internalNodes>
-          <leafValues>
-            1.8147900700569153e-01 -3.2928371429443359e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 383 1.7749259248375893e-02</internalNodes>
-          <leafValues>
-            -6.7472197115421295e-02 2.4095970392227173e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 384 -1.4773460105061531e-02</internalNodes>
-          <leafValues>
-            -7.1976912021636963e-01 7.0244252681732178e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 385 -2.1384380757808685e-02</internalNodes>
-          <leafValues>
-            -6.6300392150878906e-01 6.1542339622974396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 386 1.1285319924354553e-02</internalNodes>
-          <leafValues>
-            -1.1147149652242661e-01 4.2070099711418152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 387 5.3818488959223032e-04</internalNodes>
-          <leafValues>
-            1.3580459356307983e-01 -3.6389431357383728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 388 -4.5372340828180313e-03</internalNodes>
-          <leafValues>
-            -6.2848389148712158e-01 7.5644947588443756e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 389 -5.8880869299173355e-02</internalNodes>
-          <leafValues>
-            -4.4123521447181702e-01 5.2693258039653301e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 390 3.7623539566993713e-02</internalNodes>
-          <leafValues>
-            6.0741778463125229e-02 -7.3273491859436035e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 391 4.9864239990711212e-03</internalNodes>
-          <leafValues>
-            -9.5100089907646179e-02 1.3218070566654205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 392 1.5848229825496674e-01</internalNodes>
-          <leafValues>
-            -2.3477560281753540e-01 2.0766119658946991e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 393 -2.2148280404508114e-03</internalNodes>
-          <leafValues>
-            1.3150349259376526e-01 -7.2531886398792267e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 394 -2.4197169113904238e-03</internalNodes>
-          <leafValues>
-            3.4369221329689026e-01 -1.3603129982948303e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 395 1.3667210005223751e-02</internalNodes>
-          <leafValues>
-            -1.1352819949388504e-01 1.8905560672283173e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 396 3.4907150268554688e-01</internalNodes>
-          <leafValues>
-            -2.0564649999141693e-01 2.0814339816570282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 397 -2.3180799558758736e-02</internalNodes>
-          <leafValues>
-            -7.0410561561584473e-01 6.5354611724615097e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 398 -2.4704890325665474e-02</internalNodes>
-          <leafValues>
-            4.3212160468101501e-01 -1.0485579818487167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 399 3.5061739385128021e-02</internalNodes>
-          <leafValues>
-            -5.6936308741569519e-02 2.4053120613098145e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 400 -2.8482209891080856e-02</internalNodes>
-          <leafValues>
-            -6.4425909519195557e-01 6.7065469920635223e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 401 9.4022173434495926e-03</internalNodes>
-          <leafValues>
-            -8.7327830493450165e-02 1.0236190259456635e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 402 1.2662390246987343e-02</internalNodes>
-          <leafValues>
-            6.4649492502212524e-02 -6.6464841365814209e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 403 -1.8630980048328638e-04</internalNodes>
-          <leafValues>
-            8.8812537491321564e-02 -1.4801080524921417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 404 -6.3631217926740646e-03</internalNodes>
-          <leafValues>
-            -6.1257928609848022e-01 7.0822767913341522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 405 -3.2741650938987732e-03</internalNodes>
-          <leafValues>
-            1.6412730515003204e-01 -1.3364849984645844e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 406 3.4096399322152138e-03</internalNodes>
-          <leafValues>
-            -1.2046200037002563e-01 3.2251781225204468e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 407 -2.0664960611611605e-03</internalNodes>
-          <leafValues>
-            8.0544687807559967e-02 -3.9290331304073334e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 408 -7.1488898247480392e-03</internalNodes>
-          <leafValues>
-            3.5944211483001709e-01 -1.1370600014925003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 409 1.4608979690819979e-03</internalNodes>
-          <leafValues>
-            -1.4393359422683716e-01 1.0468409955501556e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 410 -1.2510320171713829e-02</internalNodes>
-          <leafValues>
-            3.0024001002311707e-01 -1.3041430711746216e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 411 -1.6470119357109070e-02</internalNodes>
-          <leafValues>
-            -3.4044870734214783e-01 2.2476559504866600e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 412 -1.3765309937298298e-02</internalNodes>
-          <leafValues>
-            4.4677600264549255e-01 -9.7284018993377686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 413 1.0946969996439293e-04</internalNodes>
-          <leafValues>
-            -2.0872430503368378e-01 1.5401780605316162e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 414 -6.9605209864675999e-03</internalNodes>
-          <leafValues>
-            -8.2299548387527466e-01 4.8897851258516312e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>50</maxWeakCount>
-      <stageThreshold>-1.2878630161285400e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 415 4.9184081144630909e-03</internalNodes>
-          <leafValues>
-            -3.2976099848747253e-01 3.1599700450897217e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 416 -8.4240734577178955e-03</internalNodes>
-          <leafValues>
-            3.2350379228591919e-01 -2.4553489685058594e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 417 2.0760910212993622e-01</internalNodes>
-          <leafValues>
-            -2.7401238679885864e-01 2.4197450280189514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 418 -1.5002899803221226e-02</internalNodes>
-          <leafValues>
-            8.3533883094787598e-02 -2.5596448779106140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 419 2.2144610993564129e-03</internalNodes>
-          <leafValues>
-            -2.2534610331058502e-01 2.2740550339221954e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 420 -6.0699690133333206e-02</internalNodes>
-          <leafValues>
-            1.8549209833145142e-01 -1.9505530595779419e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 421 -5.6538339704275131e-02</internalNodes>
-          <leafValues>
-            6.1330437660217285e-01 -8.7735809385776520e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 422 -1.4412499964237213e-02</internalNodes>
-          <leafValues>
-            2.4093009531497955e-01 -2.7344560623168945e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 423 -1.4219420263543725e-03</internalNodes>
-          <leafValues>
-            -6.0177552700042725e-01 1.0058429837226868e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 424 1.6331190243363380e-02</internalNodes>
-          <leafValues>
-            2.1288860589265823e-02 -5.0142019987106323e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 425 1.4106729999184608e-02</internalNodes>
-          <leafValues>
-            -1.8390950560569763e-01 2.6597890257835388e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 426 -4.9360690172761679e-04</internalNodes>
-          <leafValues>
-            3.0524199828505516e-02 -2.0498749613761902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 427 -7.0101441815495491e-03</internalNodes>
-          <leafValues>
-            4.0488889813423157e-01 -1.1826159805059433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 428 6.4736358821392059e-02</internalNodes>
-          <leafValues>
-            9.0163238346576691e-02 -4.8485979437828064e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 429 -6.7224488593637943e-03</internalNodes>
-          <leafValues>
-            -5.4630178213119507e-01 7.3308691382408142e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 430 -1.2748160399496555e-02</internalNodes>
-          <leafValues>
-            -6.7641848325729370e-01 3.2798580825328827e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 431 -7.3234830051660538e-03</internalNodes>
-          <leafValues>
-            -6.3869500160217285e-01 5.4413169622421265e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 432 -1.7713790759444237e-02</internalNodes>
-          <leafValues>
-            -7.4989777803421021e-01 6.3041099347174168e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 433 -1.1022159829735756e-02</internalNodes>
-          <leafValues>
-            4.7562441229820251e-01 -8.7812356650829315e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 434 -7.2062062099575996e-03</internalNodes>
-          <leafValues>
-            -5.1175302267074585e-01 3.8222119212150574e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 435 7.8669954091310501e-03</internalNodes>
-          <leafValues>
-            -1.0822050273418427e-01 4.3007129430770874e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 436 1.4753219671547413e-02</internalNodes>
-          <leafValues>
-            3.0923029407858849e-02 -5.8399969339370728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 437 -8.7396129965782166e-03</internalNodes>
-          <leafValues>
-            -5.5709302425384521e-01 6.5057590603828430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 438 -1.8765570130199194e-03</internalNodes>
-          <leafValues>
-            2.0753450691699982e-01 -1.0404630005359650e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 439 6.1403261497616768e-03</internalNodes>
-          <leafValues>
-            -8.8196322321891785e-02 5.0393581390380859e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 440 -6.2455530278384686e-03</internalNodes>
-          <leafValues>
-            4.5692878961563110e-01 -8.8871538639068604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 441 -6.5213078632950783e-03</internalNodes>
-          <leafValues>
-            -7.3358172178268433e-01 6.1022911220788956e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 442 8.4276527166366577e-02</internalNodes>
-          <leafValues>
-            -5.1953801885247231e-03 -7.2847050428390503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 443 1.2186209671199322e-02</internalNodes>
-          <leafValues>
-            8.0246433615684509e-02 -4.9406829476356506e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 444 -5.2070740610361099e-02</internalNodes>
-          <leafValues>
-            5.3785991668701172e-01 -2.6184149086475372e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 445 -1.8056540284305811e-03</internalNodes>
-          <leafValues>
-            1.2499610334634781e-01 -3.1014269590377808e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 446 3.5525551065802574e-03</internalNodes>
-          <leafValues>
-            -1.4355179667472839e-01 9.3508958816528320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 447 2.1722750738263130e-02</internalNodes>
-          <leafValues>
-            5.4289009422063828e-02 -6.9004470109939575e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 448 1.5696860849857330e-02</internalNodes>
-          <leafValues>
-            -6.2646992504596710e-02 5.2328252792358398e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 449 1.1486239731311798e-02</internalNodes>
-          <leafValues>
-            -1.7067709565162659e-01 2.5379261374473572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 450 -7.0110350847244263e-02</internalNodes>
-          <leafValues>
-            2.1845239400863647e-01 -3.2540921121835709e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 451 -2.3832129314541817e-02</internalNodes>
-          <leafValues>
-            -7.2852367162704468e-01 5.6103359907865524e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 452 1.8152900040149689e-02</internalNodes>
-          <leafValues>
-            7.9692779108881950e-03 -5.0108677148818970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 453 -4.9337781965732574e-03</internalNodes>
-          <leafValues>
-            -5.4861277341842651e-01 7.4599482119083405e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 454 -2.8721539303660393e-02</internalNodes>
-          <leafValues>
-            -5.0967568159103394e-01 1.3899230398237705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 455 6.0404408723115921e-03</internalNodes>
-          <leafValues>
-            8.0196216702461243e-02 -4.5811289548873901e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 456 -1.7407380044460297e-02</internalNodes>
-          <leafValues>
-            -6.7178148031234741e-01 7.8524583950638771e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 457 1.8755920231342316e-02</internalNodes>
-          <leafValues>
-            -7.0715762674808502e-02 5.2900022268295288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 458 7.5297430157661438e-03</internalNodes>
-          <leafValues>
-            -5.4971348494291306e-02 1.2586890161037445e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 459 2.7714699506759644e-02</internalNodes>
-          <leafValues>
-            -9.4051122665405273e-02 3.9269289374351501e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 460 -1.9136169925332069e-02</internalNodes>
-          <leafValues>
-            -6.1292767524719238e-01 4.3676119297742844e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 461 -1.1729629710316658e-02</internalNodes>
-          <leafValues>
-            4.0649351477622986e-01 -1.0054980218410492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 462 2.6842709630727768e-03</internalNodes>
-          <leafValues>
-            6.1806179583072662e-02 -2.6040008664131165e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 463 1.3504150323569775e-02</internalNodes>
-          <leafValues>
-            6.3247829675674438e-02 -6.1916601657867432e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 464 -4.8922952264547348e-03</internalNodes>
-          <leafValues>
-            -7.3288178443908691e-01 4.1912440210580826e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>56</maxWeakCount>
-      <stageThreshold>-1.3936669826507568e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 465 1.0124780237674713e-02</internalNodes>
-          <leafValues>
-            -2.2478839755058289e-01 4.9562188982963562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 466 2.0572949945926666e-01</internalNodes>
-          <leafValues>
-            2.6126179844141006e-02 -7.9092139005661011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 467 1.7348840832710266e-02</internalNodes>
-          <leafValues>
-            -3.8796889781951904e-01 2.0708920061588287e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 468 -2.5478509068489075e-01</internalNodes>
-          <leafValues>
-            -5.7850080728530884e-01 1.2234980240464211e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 469 -2.8602819889783859e-02</internalNodes>
-          <leafValues>
-            1.7568160593509674e-01 -3.7877011299133301e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 470 9.1557251289486885e-03</internalNodes>
-          <leafValues>
-            5.8734539896249771e-02 -5.3387188911437988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 471 -6.7997328005731106e-03</internalNodes>
-          <leafValues>
-            4.2286089062690735e-01 -1.5031290054321289e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 472 -9.0167991816997528e-02</internalNodes>
-          <leafValues>
-            -4.7068008780479431e-01 1.9146749749779701e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 473 -2.0075060427188873e-02</internalNodes>
-          <leafValues>
-            1.5215730667114258e-01 -3.0286580324172974e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 474 -1.5905030071735382e-01</internalNodes>
-          <leafValues>
-            4.8262810707092285e-01 -5.5345159024000168e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 475 1.0053060203790665e-01</internalNodes>
-          <leafValues>
-            -3.1768739223480225e-01 1.8654659390449524e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 476 2.9778450261801481e-03</internalNodes>
-          <leafValues>
-            -4.3355960398912430e-02 3.0445128679275513e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 477 -6.8455971777439117e-03</internalNodes>
-          <leafValues>
-            -6.5422862768173218e-01 5.7101141661405563e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 478 -2.3462900891900063e-02</internalNodes>
-          <leafValues>
-            -7.4357628822326660e-01 1.1618070304393768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 479 8.4667708724737167e-03</internalNodes>
-          <leafValues>
-            -1.1318150162696838e-01 3.4910741448402405e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 480 2.9225839301943779e-02</internalNodes>
-          <leafValues>
-            -3.8572481274604797e-01 2.5479009747505188e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 481 1.1265130341053009e-01</internalNodes>
-          <leafValues>
-            -9.8677836358547211e-02 7.0809727907180786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 482 1.0059010237455368e-01</internalNodes>
-          <leafValues>
-            3.9431888610124588e-02 -2.0872689783573151e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 483 -1.4622969552874565e-02</internalNodes>
-          <leafValues>
-            1.0739020258188248e-01 -4.4337108731269836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 484 5.9183081611990929e-03</internalNodes>
-          <leafValues>
-            2.2479789331555367e-02 -4.7095221281051636e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 485 -1.1137289926409721e-02</internalNodes>
-          <leafValues>
-            -5.3821432590484619e-01 7.1250103414058685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 486 2.0612619817256927e-01</internalNodes>
-          <leafValues>
-            2.5029089301824570e-03 -5.5134499073028564e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 487 1.9606389105319977e-02</internalNodes>
-          <leafValues>
-            6.8830899894237518e-02 -5.8748298883438110e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 488 1.4237780123949051e-02</internalNodes>
-          <leafValues>
-            -1.0993599891662598e-01 2.2019009292125702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 489 -1.1579900048673153e-02</internalNodes>
-          <leafValues>
-            -6.0401040315628052e-01 6.1112940311431885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 490 2.7201389893889427e-03</internalNodes>
-          <leafValues>
-            -8.6882777512073517e-02 2.1160760521888733e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 491 4.3311892077326775e-03</internalNodes>
-          <leafValues>
-            -8.5722766816616058e-02 4.3251448869705200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 492 1.4856910565868020e-03</internalNodes>
-          <leafValues>
-            -3.5430859774351120e-02 1.4321969449520111e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 493 -2.4972909595817327e-03</internalNodes>
-          <leafValues>
-            4.2610010504722595e-01 -1.0974500328302383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 494 1.3857520185410976e-02</internalNodes>
-          <leafValues>
-            2.1762149408459663e-02 -4.7706019878387451e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 495 -2.3594869300723076e-02</internalNodes>
-          <leafValues>
-            -4.6244761347770691e-01 7.9718932509422302e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 496 -3.0481400899589062e-03</internalNodes>
-          <leafValues>
-            1.7503540217876434e-01 -2.9865878820419312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 497 -1.3127359561622143e-03</internalNodes>
-          <leafValues>
-            -5.5913221836090088e-01 7.1896396577358246e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 498 -4.3319691903889179e-03</internalNodes>
-          <leafValues>
-            -8.0651438236236572e-01 1.5199059620499611e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 499 -3.6742340307682753e-03</internalNodes>
-          <leafValues>
-            4.2407768964767456e-01 -9.2443756759166718e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 500 2.5564959272742271e-02</internalNodes>
-          <leafValues>
-            2.9059829190373421e-02 -4.8274171352386475e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 501 2.8129860758781433e-02</internalNodes>
-          <leafValues>
-            -8.0184653401374817e-02 5.2279758453369141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 502 8.8039072579704225e-05</internalNodes>
-          <leafValues>
-            -7.4344098567962646e-02 9.4045989215373993e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 503 -4.6100970357656479e-03</internalNodes>
-          <leafValues>
-            -5.1046329736709595e-01 7.0259310305118561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 504 2.4607360828667879e-03</internalNodes>
-          <leafValues>
-            -7.3687382042407990e-02 1.7185910046100616e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 505 -1.8461809959262609e-03</internalNodes>
-          <leafValues>
-            3.2514411211013794e-01 -1.2517750263214111e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 506 2.6498539955355227e-04</internalNodes>
-          <leafValues>
-            -1.0129640251398087e-01 5.4491110146045685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 507 1.3974959962069988e-02</internalNodes>
-          <leafValues>
-            1.0203190147876740e-01 -3.9044409990310669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 508 3.3575310371816158e-03</internalNodes>
-          <leafValues>
-            -6.4226530492305756e-02 5.4202359169721603e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 509 7.3201949708163738e-03</internalNodes>
-          <leafValues>
-            5.9934031218290329e-02 -6.0588258504867554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 510 -1.2428000336512923e-03</internalNodes>
-          <leafValues>
-            1.1665280163288116e-01 -7.2288237512111664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 511 -1.8044740427285433e-03</internalNodes>
-          <leafValues>
-            3.4149900078773499e-01 -9.8468907177448273e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 512 -4.8408531583845615e-03</internalNodes>
-          <leafValues>
-            -5.3094178438186646e-01 3.1446449458599091e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 513 4.5861881226301193e-03</internalNodes>
-          <leafValues>
-            -1.6896879673004150e-01 1.9897870719432831e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 514 1.3223010115325451e-02</internalNodes>
-          <leafValues>
-            2.6502050459384918e-02 -6.1782538890838623e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 515 -1.3310019858181477e-03</internalNodes>
-          <leafValues>
-            -3.7018761038780212e-01 8.9922286570072174e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 516 -1.4923400012776256e-03</internalNodes>
-          <leafValues>
-            -3.2771658897399902e-01 6.3753470778465271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 517 2.3128539323806763e-03</internalNodes>
-          <leafValues>
-            5.8098889887332916e-02 -5.7217907905578613e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 518 -3.9470911026000977e-02</internalNodes>
-          <leafValues>
-            -5.9376251697540283e-01 2.4938920978456736e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 519 1.1061299592256546e-02</internalNodes>
-          <leafValues>
-            -9.7631797194480896e-02 3.4335118532180786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 520 1.7588209593668580e-03</internalNodes>
-          <leafValues>
-            -3.3723760396242142e-02 1.8667000532150269e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>53</maxWeakCount>
-      <stageThreshold>-1.3580759763717651e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 521 -4.3175318278372288e-03</internalNodes>
-          <leafValues>
-            2.6701891422271729e-01 -3.5374870896339417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 522 1.3007350265979767e-02</internalNodes>
-          <leafValues>
-            8.7024876847863197e-03 -7.5992470979690552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 523 4.8762829974293709e-03</internalNodes>
-          <leafValues>
-            -2.0284099876880646e-01 4.1433459520339966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 524 -1.0705440305173397e-02</internalNodes>
-          <leafValues>
-            2.0144259929656982e-01 -2.9292601346969604e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 525 -4.4717481359839439e-03</internalNodes>
-          <leafValues>
-            2.9785239696502686e-01 -2.1515479683876038e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 526 -1.0971710085868835e-01</internalNodes>
-          <leafValues>
-            -9.0043932199478149e-01 4.1688669472932816e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 527 2.4193130433559418e-02</internalNodes>
-          <leafValues>
-            -1.7109879851341248e-01 3.1211599707603455e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 528 2.4174679070711136e-02</internalNodes>
-          <leafValues>
-            2.8407519683241844e-02 -5.3422790765762329e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 529 2.1222220733761787e-02</internalNodes>
-          <leafValues>
-            -1.1979670077562332e-01 4.4222798943519592e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 530 2.6180870831012726e-02</internalNodes>
-          <leafValues>
-            -5.3708368539810181e-01 8.5554197430610657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 531 -4.6309800818562508e-03</internalNodes>
-          <leafValues>
-            -6.3450610637664795e-01 7.8415229916572571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 532 -6.1208908446133137e-03</internalNodes>
-          <leafValues>
-            -5.8184450864791870e-01 5.6262150406837463e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 533 2.4345550686120987e-02</internalNodes>
-          <leafValues>
-            -8.2362763583660126e-02 5.2085632085800171e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 534 -1.0590479709208012e-02</internalNodes>
-          <leafValues>
-            -5.8450412750244141e-01 3.7550948560237885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 535 -8.4336008876562119e-03</internalNodes>
-          <leafValues>
-            -7.2815698385238647e-01 4.3281048536300659e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 536 2.5999199599027634e-02</internalNodes>
-          <leafValues>
-            2.3103030398488045e-02 -4.7821858525276184e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 537 2.5073610246181488e-02</internalNodes>
-          <leafValues>
-            -1.0790230333805084e-01 3.5499471426010132e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 538 2.9070028662681580e-01</internalNodes>
-          <leafValues>
-            6.3703400082886219e-03 -8.6412417888641357e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 539 1.7590269446372986e-01</internalNodes>
-          <leafValues>
-            -2.5589939951896667e-01 1.6987270116806030e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 540 -3.2584410160779953e-02</internalNodes>
-          <leafValues>
-            -6.2721168994903564e-01 1.8344789743423462e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 541 -4.1382450610399246e-02</internalNodes>
-          <leafValues>
-            5.4475349187850952e-01 -1.0436189919710159e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 542 -8.6197769269347191e-03</internalNodes>
-          <leafValues>
-            1.4069239795207977e-01 -4.0490731596946716e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 543 2.0080020185559988e-03</internalNodes>
-          <leafValues>
-            9.3814283609390259e-02 -4.5978298783302307e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 544 1.1478760279715061e-02</internalNodes>
-          <leafValues>
-            -2.3005740344524384e-01 1.8548269569873810e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 545 -9.1993194073438644e-03</internalNodes>
-          <leafValues>
-            4.3196168541908264e-01 -8.4990806877613068e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 546 3.2873731106519699e-04</internalNodes>
-          <leafValues>
-            -3.2470309734344482e-01 1.2502589821815491e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 547 1.6286820173263550e-02</internalNodes>
-          <leafValues>
-            -1.6808439791202545e-01 2.0208799839019775e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 548 -8.8326708646491170e-04</internalNodes>
-          <leafValues>
-            1.3341540098190308e-01 -8.0567203462123871e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 549 -2.2098519839346409e-03</internalNodes>
-          <leafValues>
-            3.2481029629707336e-01 -1.1913210153579712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 550 3.3911340869963169e-03</internalNodes>
-          <leafValues>
-            -6.4360022544860840e-01 9.3070819973945618e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 551 -2.1501209586858749e-02</internalNodes>
-          <leafValues>
-            1.2166000157594681e-01 -2.8132438659667969e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 552 1.3594830408692360e-02</internalNodes>
-          <leafValues>
-            -7.4954092502593994e-02 1.1320699751377106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 553 -5.9626200236380100e-03</internalNodes>
-          <leafValues>
-            -6.0876357555389404e-01 5.5802300572395325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 554 -7.1367057971656322e-03</internalNodes>
-          <leafValues>
-            1.3753290474414825e-01 -5.4944049566984177e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 555 3.7937159650027752e-03</internalNodes>
-          <leafValues>
-            -9.7331270575523376e-02 3.5290411114692688e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 556 4.2037001252174377e-01</internalNodes>
-          <leafValues>
-            -6.0830309987068176e-02 6.2353998422622681e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 557 -1.3953109737485647e-03</internalNodes>
-          <leafValues>
-            -4.5005550980567932e-01 8.5933342576026917e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 558 -9.1760727809742093e-04</internalNodes>
-          <leafValues>
-            -2.7361738681793213e-01 4.9933131784200668e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 559 2.6983609423041344e-03</internalNodes>
-          <leafValues>
-            -9.6326000988483429e-02 4.4493889808654785e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 560 1.8104390474036336e-03</internalNodes>
-          <leafValues>
-            5.8886051177978516e-02 -2.8511041402816772e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 561 -5.2683739922940731e-03</internalNodes>
-          <leafValues>
-            5.0250577926635742e-01 -1.0216759890317917e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 562 3.4583848901093006e-03</internalNodes>
-          <leafValues>
-            5.8127861469984055e-02 -5.9851872920989990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 563 -3.5791560076177120e-03</internalNodes>
-          <leafValues>
-            -7.3496657609939575e-01 4.1422609239816666e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 564 5.1315352320671082e-03</internalNodes>
-          <leafValues>
-            -9.3608200550079346e-02 1.7093980312347412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 565 -4.2571019381284714e-02</internalNodes>
-          <leafValues>
-            4.8374500870704651e-01 -7.8032270073890686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 566 -1.4648390002548695e-02</internalNodes>
-          <leafValues>
-            -4.8706358671188354e-01 2.5201629847288132e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 567 9.3548959121108055e-03</internalNodes>
-          <leafValues>
-            3.9141140878200531e-02 -8.5132300853729248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 568 -7.7046807855367661e-03</internalNodes>
-          <leafValues>
-            2.7295690774917603e-01 -1.0840819776058197e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 569 -6.4468376338481903e-02</internalNodes>
-          <leafValues>
-            -8.0510532855987549e-01 4.7053340822458267e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 570 -7.9486463218927383e-03</internalNodes>
-          <leafValues>
-            3.0840569734573364e-01 -1.3387249410152435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 571 -3.9265598170459270e-03</internalNodes>
-          <leafValues>
-            3.6305388808250427e-01 -1.0540190339088440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 572 -3.6044888198375702e-02</internalNodes>
-          <leafValues>
-            5.8140981197357178e-01 -2.9684588662348688e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 573 -7.6920147985219955e-03</internalNodes>
-          <leafValues>
-            3.3190870285034180e-01 -1.0925249755382538e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>65</maxWeakCount>
-      <stageThreshold>-1.3411600589752197e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 574 -4.9766711890697479e-03</internalNodes>
-          <leafValues>
-            3.7934410572052002e-01 -2.4959290027618408e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 575 -3.4589890390634537e-02</internalNodes>
-          <leafValues>
-            -4.4946050643920898e-01 3.9635330438613892e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 576 1.9461639225482941e-02</internalNodes>
-          <leafValues>
-            -2.6357260346412659e-01 2.7247101068496704e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 577 4.2663760483264923e-02</internalNodes>
-          <leafValues>
-            2.9581360518932343e-02 -3.4751391410827637e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 578 5.8530770242214203e-02</internalNodes>
-          <leafValues>
-            -3.0708679556846619e-01 2.0082889497280121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 579 -2.9736598953604698e-03</internalNodes>
-          <leafValues>
-            -5.4576981067657471e-01 2.3220159113407135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 580 7.7464492060244083e-03</internalNodes>
-          <leafValues>
-            -1.4597670733928680e-01 3.5159158706665039e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 581 7.0320582017302513e-04</internalNodes>
-          <leafValues>
-            -3.5477969050407410e-01 1.4947199821472168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 582 -1.3183569535613060e-02</internalNodes>
-          <leafValues>
-            4.9795240163803101e-01 -9.5576412975788116e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 583 1.1360269971191883e-02</internalNodes>
-          <leafValues>
-            4.4859439134597778e-02 -7.7702391147613525e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 584 -5.3752749226987362e-03</internalNodes>
-          <leafValues>
-            -6.0436600446701050e-01 6.3452452421188354e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 585 2.6277059223502874e-03</internalNodes>
-          <leafValues>
-            -5.9781100600957870e-02 1.6431820392608643e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 586 -1.9063310464844108e-03</internalNodes>
-          <leafValues>
-            3.4500768780708313e-01 -1.1078260093927383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 587 -5.5438909679651260e-02</internalNodes>
-          <leafValues>
-            5.3140318393707275e-01 -3.9117269217967987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 588 2.2990850731730461e-02</internalNodes>
-          <leafValues>
-            -1.1105979979038239e-01 3.4139779210090637e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 589 2.3013869300484657e-02</internalNodes>
-          <leafValues>
-            1.9403599202632904e-02 -3.0652850866317749e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 590 -3.2346909865736961e-03</internalNodes>
-          <leafValues>
-            1.8446859717369080e-01 -2.1846550703048706e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 591 1.9735300447791815e-03</internalNodes>
-          <leafValues>
-            -6.4886763691902161e-02 6.2509037554264069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 592 -1.0755480267107487e-02</internalNodes>
-          <leafValues>
-            3.5955241322517395e-01 -1.1030949652194977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 593 -2.6936439797282219e-02</internalNodes>
-          <leafValues>
-            -7.0569419860839844e-01 1.5028079971671104e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 594 2.8886420652270317e-02</internalNodes>
-          <leafValues>
-            5.0576541572809219e-02 -7.2815430164337158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 595 5.7200351729989052e-03</internalNodes>
-          <leafValues>
-            -1.0274200141429901e-01 8.0553196370601654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 596 -1.7981380224227905e-02</internalNodes>
-          <leafValues>
-            -7.0609301328659058e-01 5.8095961809158325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 597 1.6353320097550750e-03</internalNodes>
-          <leafValues>
-            -9.0820826590061188e-02 1.2195230275392532e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 598 -1.8810540204867721e-03</internalNodes>
-          <leafValues>
-            3.1368181109428406e-01 -1.1835079640150070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 599 -1.6305189579725266e-02</internalNodes>
-          <leafValues>
-            -3.4470620751380920e-01 1.0644529946148396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 600 -1.6981370281428099e-03</internalNodes>
-          <leafValues>
-            3.6481419205665588e-01 -1.0638120025396347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 601 2.1174369379878044e-02</internalNodes>
-          <leafValues>
-            3.1025370582938194e-02 -2.7620419859886169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 602 -8.8443253189325333e-03</internalNodes>
-          <leafValues>
-            -6.9870138168334961e-01 5.1486968994140625e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 603 3.6929589696228504e-03</internalNodes>
-          <leafValues>
-            -6.5479710698127747e-02 2.2728489711880684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 604 1.0892639867961407e-02</internalNodes>
-          <leafValues>
-            6.1733219772577286e-02 -6.7477071285247803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 605 -1.2833529710769653e-01</internalNodes>
-          <leafValues>
-            2.1409809589385986e-01 -3.3962771296501160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 606 -5.1236700266599655e-02</internalNodes>
-          <leafValues>
-            1.5942020714282990e-01 -2.4341639876365662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 607 1.2321960180997849e-01</internalNodes>
-          <leafValues>
-            2.5586610659956932e-02 -4.7473230957984924e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 608 -1.9274000078439713e-03</internalNodes>
-          <leafValues>
-            1.0943879932165146e-01 -3.3568400144577026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 609 -2.0102979615330696e-02</internalNodes>
-          <leafValues>
-            -5.1650160551071167e-01 2.9315050691366196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 610 1.8281549215316772e-02</internalNodes>
-          <leafValues>
-            -6.4036741852760315e-02 6.2557631731033325e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 611 1.4739660546183586e-03</internalNodes>
-          <leafValues>
-            -1.6827440261840820e-01 1.0941269993782043e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 612 -9.0881707146763802e-03</internalNodes>
-          <leafValues>
-            2.4175269901752472e-01 -1.4523309469223022e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 613 -4.5073218643665314e-02</internalNodes>
-          <leafValues>
-            -7.3592007160186768e-01 5.9004039503633976e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 614 1.9067279994487762e-02</internalNodes>
-          <leafValues>
-            -1.0756839811801910e-01 3.3758550882339478e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 615 -9.0190932154655457e-02</internalNodes>
-          <leafValues>
-            3.0061250925064087e-01 -4.3286528438329697e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 616 -2.4107230827212334e-02</internalNodes>
-          <leafValues>
-            1.4867919683456421e-01 -2.2179369628429413e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 617 4.2285379022359848e-02</internalNodes>
-          <leafValues>
-            -2.0657710731029510e-01 2.4372029304504395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 618 -1.9224429503083229e-02</internalNodes>
-          <leafValues>
-            -4.1109448671340942e-01 8.8076941668987274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 619 -1.8713049590587616e-02</internalNodes>
-          <leafValues>
-            -5.5512428283691406e-01 -3.5010900319321081e-05</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 620 -1.1740639805793762e-02</internalNodes>
-          <leafValues>
-            -7.4573528766632080e-01 4.6473011374473572e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 621 3.5142578184604645e-02</internalNodes>
-          <leafValues>
-            2.7216039597988129e-03 -4.9953749775886536e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 622 -6.6481479443609715e-03</internalNodes>
-          <leafValues>
-            1.9559350609779358e-01 -1.6296459734439850e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 623 7.3291230946779251e-03</internalNodes>
-          <leafValues>
-            -5.7543341070413589e-02 8.1424511969089508e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 624 -5.4579051211476326e-03</internalNodes>
-          <leafValues>
-            -5.4347038269042969e-01 5.7771220803260803e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 625 1.0465289960848168e-04</internalNodes>
-          <leafValues>
-            -1.1724419891834259e-01 1.3367609679698944e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 626 -1.7040430102497339e-03</internalNodes>
-          <leafValues>
-            3.2203149795532227e-01 -1.0900110006332397e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 627 -7.5647421181201935e-03</internalNodes>
-          <leafValues>
-            4.4239428639411926e-01 -6.8382248282432556e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 628 8.0183129757642746e-03</internalNodes>
-          <leafValues>
-            -1.5239569544792175e-01 2.4483230710029602e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 629 -1.0649990290403366e-02</internalNodes>
-          <leafValues>
-            -6.2405461072921753e-01 2.1711019799113274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 630 -1.4240309828892350e-03</internalNodes>
-          <leafValues>
-            8.9519590139389038e-02 -3.5850891470909119e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 631 5.9712692163884640e-03</internalNodes>
-          <leafValues>
-            -4.6914869546890259e-01 5.2607439458370209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 632 1.6963120549917221e-02</internalNodes>
-          <leafValues>
-            -6.1023771762847900e-02 5.7392549514770508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 633 7.1414969861507416e-03</internalNodes>
-          <leafValues>
-            2.8966020792722702e-02 -3.2176148891448975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 634 -9.5924977213144302e-03</internalNodes>
-          <leafValues>
-            -7.2410070896148682e-01 4.0414128452539444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 635 -4.1343858465552330e-03</internalNodes>
-          <leafValues>
-            -6.6965389251708984e-01 3.3574569970369339e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 636 -4.4302479363977909e-03</internalNodes>
-          <leafValues>
-            -6.3991087675094604e-01 3.9288960397243500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 637 -2.6460499502718449e-03</internalNodes>
-          <leafValues>
-            1.0181919671595097e-02 -1.8428249657154083e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 638 -3.3010810613632202e-02</internalNodes>
-          <leafValues>
-            -6.4822387695312500e-01 4.6115010976791382e-02</leafValues></_></weakClassifiers></_></stages>
-  <features>
-    <_>
-      <rects>
-        <_>
-          1 6 8 12 -1.</_>
-        <_>
-          1 6 4 6 2.</_>
-        <_>
-          5 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 2 -1.</_>
-        <_>
-          0 4 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          0 18 6 1 2.</_>
-        <_>
-          6 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 6 -1.</_>
-        <_>
-          4 5 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 16 -1.</_>
-        <_>
-          0 8 12 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 1 -1.</_>
-        <_>
-          6 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 8 12 -1.</_>
-        <_>
-          1 6 4 6 2.</_>
-        <_>
-          5 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 8 -1.</_>
-        <_>
-          0 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 6 -1.</_>
-        <_>
-          4 10 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 12 8 8 -1.</_>
-        <_>
-          4 12 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 8 8 -1.</_>
-        <_>
-          4 12 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 6 -1.</_>
-        <_>
-          4 5 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 6 12 -1.</_>
-        <_>
-          3 7 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 18 -1.</_>
-        <_>
-          8 0 2 18 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 18 -1.</_>
-        <_>
-          2 0 2 18 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 16 -1.</_>
-        <_>
-          1 8 10 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          0 18 6 1 2.</_>
-        <_>
-          6 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 1 -1.</_>
-        <_>
-          3 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 8 12 -1.</_>
-        <_>
-          1 6 4 6 2.</_>
-        <_>
-          5 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 4 -1.</_>
-        <_>
-          7 4 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 4 6 -1.</_>
-        <_>
-          3 5 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 12 -1.</_>
-        <_>
-          0 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 6 -1.</_>
-        <_>
-          4 10 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 1 8 -1.</_>
-        <_>
-          6 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 8 1 -1.</_>
-        <_>
-          6 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 8 -1.</_>
-        <_>
-          9 2 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 8 1 -1.</_>
-        <_>
-          6 5 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 13 -1.</_>
-        <_>
-          8 4 2 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 8 -1.</_>
-        <_>
-          3 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          6 18 6 1 2.</_>
-        <_>
-          0 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 1 6 -1.</_>
-        <_>
-          6 11 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 17 -1.</_>
-        <_>
-          8 0 2 17 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 17 -1.</_>
-        <_>
-          2 0 2 17 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 12 8 -1.</_>
-        <_>
-          0 14 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 6 2 -1.</_>
-        <_>
-          5 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 7 16 -1.</_>
-        <_>
-          3 8 7 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 2 -1.</_>
-        <_>
-          0 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 6 8 -1.</_>
-        <_>
-          3 12 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 8 12 -1.</_>
-        <_>
-          1 7 4 6 2.</_>
-        <_>
-          5 13 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 2 2 -1.</_>
-        <_>
-          6 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 1 6 -1.</_>
-        <_>
-          5 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 7 -1.</_>
-        <_>
-          10 11 1 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 11 7 2 -1.</_>
-        <_>
-          2 11 7 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 16 10 4 -1.</_>
-        <_>
-          2 16 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 1 3 -1.</_>
-        <_>
-          0 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 18 1 2 -1.</_>
-        <_>
-          11 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 1 2 -1.</_>
-        <_>
-          0 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 3 3 -1.</_>
-        <_>
-          9 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 4 3 -1.</_>
-        <_>
-          7 5 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 3 -1.</_>
-        <_>
-          8 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 5 4 -1.</_>
-        <_>
-          4 11 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 4 -1.</_>
-        <_>
-          7 4 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 4 2 -1.</_>
-        <_>
-          5 4 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 8 -1.</_>
-        <_>
-          8 9 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 8 2 -1.</_>
-        <_>
-          4 9 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 8 -1.</_>
-        <_>
-          0 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 1 -1.</_>
-        <_>
-          2 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 12 4 -1.</_>
-        <_>
-          3 7 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 1 2 -1.</_>
-        <_>
-          0 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 16 6 4 -1.</_>
-        <_>
-          3 18 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 10 4 -1.</_>
-        <_>
-          5 16 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 4 12 -1.</_>
-        <_>
-          8 6 2 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 11 -1.</_>
-        <_>
-          2 5 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          6 18 6 1 2.</_>
-        <_>
-          0 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 8 1 -1.</_>
-        <_>
-          5 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 10 -1.</_>
-        <_>
-          0 5 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 6 12 -1.</_>
-        <_>
-          3 7 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 1 -1.</_>
-        <_>
-          1 0 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 6 -1.</_>
-        <_>
-          4 9 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 1 8 -1.</_>
-        <_>
-          7 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 8 4 -1.</_>
-        <_>
-          2 4 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 12 7 -1.</_>
-        <_>
-          3 7 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 16 6 4 -1.</_>
-        <_>
-          3 18 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 1 18 -1.</_>
-        <_>
-          10 11 1 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 1 16 -1.</_>
-        <_>
-          1 12 1 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 18 -1.</_>
-        <_>
-          4 9 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 1 -1.</_>
-        <_>
-          2 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 1 8 -1.</_>
-        <_>
-          7 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 2 -1.</_>
-        <_>
-          8 5 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 6 -1.</_>
-        <_>
-          7 11 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 6 4 -1.</_>
-        <_>
-          6 10 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 8 2 -1.</_>
-        <_>
-          2 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 7 -1.</_>
-        <_>
-          1 3 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 4 8 -1.</_>
-        <_>
-          8 5 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 12 4 -1.</_>
-        <_>
-          0 17 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 3 8 -1.</_>
-        <_>
-          8 5 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 8 -1.</_>
-        <_>
-          3 5 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 8 -1.</_>
-        <_>
-          6 2 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 2 7 -1.</_>
-        <_>
-          5 1 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 5 -1.</_>
-        <_>
-          10 6 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 6 -1.</_>
-        <_>
-          0 15 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 10 -1.</_>
-        <_>
-          6 0 6 5 2.</_>
-        <_>
-          0 5 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 3 7 -1.</_>
-        <_>
-          1 4 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 8 2 -1.</_>
-        <_>
-          2 3 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 1 6 -1.</_>
-        <_>
-          5 3 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 7 -1.</_>
-        <_>
-          7 5 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 17 12 3 -1.</_>
-        <_>
-          6 17 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 8 10 -1.</_>
-        <_>
-          6 10 4 5 2.</_>
-        <_>
-          2 15 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 20 -1.</_>
-        <_>
-          3 5 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 8 12 -1.</_>
-        <_>
-          1 6 4 6 2.</_>
-        <_>
-          5 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 2 -1.</_>
-        <_>
-          0 4 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 7 6 -1.</_>
-        <_>
-          1 7 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 14 -1.</_>
-        <_>
-          0 7 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          0 18 6 1 2.</_>
-        <_>
-          6 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 4 -1.</_>
-        <_>
-          10 10 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 2 1 -1.</_>
-        <_>
-          3 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 3 -1.</_>
-        <_>
-          9 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 10 2 -1.</_>
-        <_>
-          0 1 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 5 4 -1.</_>
-        <_>
-          7 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 3 -1.</_>
-        <_>
-          1 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 16 2 2 -1.</_>
-        <_>
-          6 16 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 16 2 2 -1.</_>
-        <_>
-          6 16 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 16 -1.</_>
-        <_>
-          2 0 2 16 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 8 12 -1.</_>
-        <_>
-          1 6 4 6 2.</_>
-        <_>
-          5 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 6 9 -1.</_>
-        <_>
-          6 11 3 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 6 9 -1.</_>
-        <_>
-          3 11 3 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 3 5 -1.</_>
-        <_>
-          10 12 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 3 1 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 3 5 -1.</_>
-        <_>
-          10 12 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 11 5 3 -1.</_>
-        <_>
-          2 12 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 1 3 -1.</_>
-        <_>
-          5 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 3 2 -1.</_>
-        <_>
-          7 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 18 1 2 -1.</_>
-        <_>
-          1 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 18 1 2 -1.</_>
-        <_>
-          10 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 18 1 2 -1.</_>
-        <_>
-          1 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 3 2 -1.</_>
-        <_>
-          7 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 3 2 -1.</_>
-        <_>
-          2 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 4 3 -1.</_>
-        <_>
-          8 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 3 -1.</_>
-        <_>
-          0 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 8 -1.</_>
-        <_>
-          0 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 8 11 -1.</_>
-        <_>
-          2 4 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 3 -1.</_>
-        <_>
-          9 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 3 -1.</_>
-        <_>
-          1 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          6 18 6 1 2.</_>
-        <_>
-          0 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          8 5 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 12 2 6 -1.</_>
-        <_>
-          10 12 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 6 2 -1.</_>
-        <_>
-          2 12 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 14 8 5 -1.</_>
-        <_>
-          4 14 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 8 3 -1.</_>
-        <_>
-          4 15 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 6 -1.</_>
-        <_>
-          8 9 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 6 -1.</_>
-        <_>
-          4 9 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 4 -1.</_>
-        <_>
-          5 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 3 -1.</_>
-        <_>
-          0 9 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 15 2 3 -1.</_>
-        <_>
-          7 16 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 15 3 2 -1.</_>
-        <_>
-          5 16 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 14 3 3 -1.</_>
-        <_>
-          8 15 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 5 3 -1.</_>
-        <_>
-          2 13 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 2 -1.</_>
-        <_>
-          3 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 4 -1.</_>
-        <_>
-          0 10 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 6 -1.</_>
-        <_>
-          8 12 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 4 6 -1.</_>
-        <_>
-          0 12 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 2 3 -1.</_>
-        <_>
-          5 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 2 -1.</_>
-        <_>
-          7 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 8 1 -1.</_>
-        <_>
-          2 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 2 -1.</_>
-        <_>
-          0 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 2 3 -1.</_>
-        <_>
-          7 15 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 14 3 2 -1.</_>
-        <_>
-          5 15 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 8 -1.</_>
-        <_>
-          3 4 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 8 12 -1.</_>
-        <_>
-          7 7 4 6 2.</_>
-        <_>
-          3 13 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 4 3 -1.</_>
-        <_>
-          4 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 6 8 -1.</_>
-        <_>
-          3 13 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 2 6 -1.</_>
-        <_>
-          6 12 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 8 16 -1.</_>
-        <_>
-          8 3 4 8 2.</_>
-        <_>
-          4 11 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 8 16 -1.</_>
-        <_>
-          0 2 4 8 2.</_>
-        <_>
-          4 10 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          9 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 2 -1.</_>
-        <_>
-          0 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 2 -1.</_>
-        <_>
-          9 6 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 12 2 -1.</_>
-        <_>
-          4 1 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 5 -1.</_>
-        <_>
-          10 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 6 -1.</_>
-        <_>
-          1 3 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 17 1 2 -1.</_>
-        <_>
-          11 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 1 2 -1.</_>
-        <_>
-          0 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 17 1 3 -1.</_>
-        <_>
-          11 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 1 3 -1.</_>
-        <_>
-          0 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 12 12 -1.</_>
-        <_>
-          0 8 12 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 3 6 -1.</_>
-        <_>
-          2 5 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 4 3 -1.</_>
-        <_>
-          5 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 4 -1.</_>
-        <_>
-          7 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 3 -1.</_>
-        <_>
-          10 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 3 -1.</_>
-        <_>
-          0 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 3 3 -1.</_>
-        <_>
-          8 11 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 3 -1.</_>
-        <_>
-          6 10 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 2 -1.</_>
-        <_>
-          3 2 2 1 2.</_>
-        <_>
-          5 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 6 -1.</_>
-        <_>
-          8 10 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 6 -1.</_>
-        <_>
-          4 10 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 1 6 -1.</_>
-        <_>
-          4 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 1 -1.</_>
-        <_>
-          8 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          5 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          7 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 16 10 4 -1.</_>
-        <_>
-          2 16 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 10 -1.</_>
-        <_>
-          0 5 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          10 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          1 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 15 2 2 -1.</_>
-        <_>
-          7 15 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 6 -1.</_>
-        <_>
-          0 8 1 3 2.</_>
-        <_>
-          1 11 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 4 -1.</_>
-        <_>
-          9 12 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 16 10 4 -1.</_>
-        <_>
-          5 16 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 18 10 2 -1.</_>
-        <_>
-          1 19 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 4 -1.</_>
-        <_>
-          0 9 1 2 2.</_>
-        <_>
-          1 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 3 3 -1.</_>
-        <_>
-          8 13 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 3 3 -1.</_>
-        <_>
-          4 13 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 4 3 -1.</_>
-        <_>
-          5 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 4 -1.</_>
-        <_>
-          7 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 12 3 3 -1.</_>
-        <_>
-          8 13 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 3 3 -1.</_>
-        <_>
-          4 13 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 4 -1.</_>
-        <_>
-          5 5 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 4 3 -1.</_>
-        <_>
-          7 5 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 18 2 2 -1.</_>
-        <_>
-          9 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 18 2 2 -1.</_>
-        <_>
-          1 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 3 -1.</_>
-        <_>
-          10 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_>
-        <_>
-          1 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          6 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 2 2 -1.</_>
-        <_>
-          2 13 1 1 2.</_>
-        <_>
-          3 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 3 -1.</_>
-        <_>
-          10 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 4 3 -1.</_>
-        <_>
-          2 2 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 3 -1.</_>
-        <_>
-          6 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 2 -1.</_>
-        <_>
-          5 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 6 -1.</_>
-        <_>
-          10 10 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 4 4 -1.</_>
-        <_>
-          2 12 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 6 -1.</_>
-        <_>
-          4 5 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 12 2 3 -1.</_>
-        <_>
-          8 13 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 12 1 6 -1.</_>
-        <_>
-          6 12 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 16 3 2 -1.</_>
-        <_>
-          5 17 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 3 2 -1.</_>
-        <_>
-          4 13 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 2 -1.</_>
-        <_>
-          11 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 11 -1.</_>
-        <_>
-          2 0 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 3 -1.</_>
-        <_>
-          9 12 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 11 3 2 -1.</_>
-        <_>
-          3 12 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 3 5 -1.</_>
-        <_>
-          10 12 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 11 5 3 -1.</_>
-        <_>
-          2 12 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 12 4 2 -1.</_>
-        <_>
-          8 13 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 4 2 -1.</_>
-        <_>
-          0 13 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 2 -1.</_>
-        <_>
-          9 13 1 1 2.</_>
-        <_>
-          8 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 5 3 -1.</_>
-        <_>
-          0 8 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 2 -1.</_>
-        <_>
-          9 13 1 1 2.</_>
-        <_>
-          8 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 2 2 -1.</_>
-        <_>
-          2 13 1 1 2.</_>
-        <_>
-          3 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 5 4 -1.</_>
-        <_>
-          7 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 8 -1.</_>
-        <_>
-          0 5 1 4 2.</_>
-        <_>
-          1 9 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 4 -1.</_>
-        <_>
-          8 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 3 4 -1.</_>
-        <_>
-          1 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 16 -1.</_>
-        <_>
-          0 8 12 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          0 0 2 1 2.</_>
-        <_>
-          2 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 3 -1.</_>
-        <_>
-          8 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 5 3 -1.</_>
-        <_>
-          2 13 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 12 4 -1.</_>
-        <_>
-          3 8 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 2 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_>
-        <_>
-          3 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 15 2 3 -1.</_>
-        <_>
-          10 16 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 1 -1.</_>
-        <_>
-          2 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 8 12 -1.</_>
-        <_>
-          7 6 4 6 2.</_>
-        <_>
-          3 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 3 -1.</_>
-        <_>
-          6 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 8 12 -1.</_>
-        <_>
-          8 6 4 6 2.</_>
-        <_>
-          4 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 10 14 -1.</_>
-        <_>
-          0 5 5 7 2.</_>
-        <_>
-          5 12 5 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 10 4 -1.</_>
-        <_>
-          1 4 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 1 2 -1.</_>
-        <_>
-          0 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 3 -1.</_>
-        <_>
-          6 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 2 2 -1.</_>
-        <_>
-          5 14 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 12 1 -1.</_>
-        <_>
-          0 9 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 3 -1.</_>
-        <_>
-          0 6 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 4 3 -1.</_>
-        <_>
-          7 13 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 12 3 4 -1.</_>
-        <_>
-          5 13 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 3 -1.</_>
-        <_>
-          7 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          3 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          10 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          2 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          0 18 6 1 2.</_>
-        <_>
-          6 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 8 10 -1.</_>
-        <_>
-          2 12 8 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 10 -1.</_>
-        <_>
-          1 9 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 3 2 -1.</_>
-        <_>
-          10 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 2 -1.</_>
-        <_>
-          1 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 4 3 -1.</_>
-        <_>
-          8 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 3 -1.</_>
-        <_>
-          0 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 3 -1.</_>
-        <_>
-          9 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 12 -1.</_>
-        <_>
-          2 8 2 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 1 3 -1.</_>
-        <_>
-          5 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 10 3 1 -1.</_>
-        <_>
-          10 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 1 -1.</_>
-        <_>
-          1 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 12 2 3 -1.</_>
-        <_>
-          9 13 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 3 2 -1.</_>
-        <_>
-          3 13 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 10 3 3 -1.</_>
-        <_>
-          9 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 3 -1.</_>
-        <_>
-          0 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 2 -1.</_>
-        <_>
-          0 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 2 -1.</_>
-        <_>
-          6 0 3 1 2.</_>
-        <_>
-          3 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 8 12 -1.</_>
-        <_>
-          1 7 4 6 2.</_>
-        <_>
-          5 13 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 1 -1.</_>
-        <_>
-          7 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 2 -1.</_>
-        <_>
-          6 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 1 4 -1.</_>
-        <_>
-          10 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 4 1 -1.</_>
-        <_>
-          2 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 15 8 4 -1.</_>
-        <_>
-          4 15 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 8 5 -1.</_>
-        <_>
-          4 14 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 4 5 -1.</_>
-        <_>
-          8 12 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 4 7 -1.</_>
-        <_>
-          2 10 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 3 -1.</_>
-        <_>
-          5 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 1 -1.</_>
-        <_>
-          7 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 3 -1.</_>
-        <_>
-          9 7 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 3 -1.</_>
-        <_>
-          0 7 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 4 2 -1.</_>
-        <_>
-          8 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 3 -1.</_>
-        <_>
-          0 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 3 -1.</_>
-        <_>
-          9 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 5 4 -1.</_>
-        <_>
-          0 14 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 16 4 2 -1.</_>
-        <_>
-          8 16 2 1 2.</_>
-        <_>
-          6 17 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 2 2 -1.</_>
-        <_>
-          1 12 1 1 2.</_>
-        <_>
-          2 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 2 2 -1.</_>
-        <_>
-          9 12 1 1 2.</_>
-        <_>
-          8 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 1 2 -1.</_>
-        <_>
-          0 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 2 2 -1.</_>
-        <_>
-          9 12 1 1 2.</_>
-        <_>
-          8 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 2 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_>
-        <_>
-          3 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 3 -1.</_>
-        <_>
-          7 14 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 13 3 2 -1.</_>
-        <_>
-          5 14 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 4 -1.</_>
-        <_>
-          10 10 1 2 2.</_>
-        <_>
-          9 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 2 4 -1.</_>
-        <_>
-          1 10 1 2 2.</_>
-        <_>
-          2 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 16 2 2 -1.</_>
-        <_>
-          7 16 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 8 3 3 -1.</_>
-        <_>
-          2 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 3 3 -1.</_>
-        <_>
-          8 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 3 -1.</_>
-        <_>
-          5 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 4 6 -1.</_>
-        <_>
-          5 11 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 1 -1.</_>
-        <_>
-          6 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 15 2 2 -1.</_>
-        <_>
-          7 15 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 15 2 2 -1.</_>
-        <_>
-          5 15 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 3 -1.</_>
-        <_>
-          9 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 4 -1.</_>
-        <_>
-          4 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 2 -1.</_>
-        <_>
-          11 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 8 12 -1.</_>
-        <_>
-          8 6 4 6 2.</_>
-        <_>
-          4 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 8 12 -1.</_>
-        <_>
-          1 6 4 6 2.</_>
-        <_>
-          5 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 3 -1.</_>
-        <_>
-          9 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          3 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 3 -1.</_>
-        <_>
-          7 11 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 14 -1.</_>
-        <_>
-          0 7 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          6 18 6 1 2.</_>
-        <_>
-          0 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 2 3 -1.</_>
-        <_>
-          0 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 6 -1.</_>
-        <_>
-          11 8 1 3 2.</_>
-        <_>
-          10 11 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 6 -1.</_>
-        <_>
-          0 8 1 3 2.</_>
-        <_>
-          1 11 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 17 2 3 -1.</_>
-        <_>
-          10 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 2 3 -1.</_>
-        <_>
-          0 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 3 3 -1.</_>
-        <_>
-          10 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 14 -1.</_>
-        <_>
-          0 13 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 3 3 -1.</_>
-        <_>
-          10 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 3 -1.</_>
-        <_>
-          1 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 3 3 -1.</_>
-        <_>
-          8 10 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 9 3 3 -1.</_>
-        <_>
-          4 10 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 1 -1.</_>
-        <_>
-          8 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 1 -1.</_>
-        <_>
-          2 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 7 -1.</_>
-        <_>
-          0 0 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 4 3 -1.</_>
-        <_>
-          2 13 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 3 3 -1.</_>
-        <_>
-          8 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 3 3 -1.</_>
-        <_>
-          1 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 6 -1.</_>
-        <_>
-          4 15 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 13 6 1 -1.</_>
-        <_>
-          8 15 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 3 4 -1.</_>
-        <_>
-          1 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          10 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 17 2 1 -1.</_>
-        <_>
-          10 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 2 1 -1.</_>
-        <_>
-          1 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 2 -1.</_>
-        <_>
-          9 13 1 1 2.</_>
-        <_>
-          8 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 2 2 -1.</_>
-        <_>
-          2 13 1 1 2.</_>
-        <_>
-          3 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 3 2 -1.</_>
-        <_>
-          10 10 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 2 -1.</_>
-        <_>
-          1 10 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 3 3 -1.</_>
-        <_>
-          9 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 4 -1.</_>
-        <_>
-          7 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 7 -1.</_>
-        <_>
-          9 4 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 3 4 -1.</_>
-        <_>
-          2 10 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 7 -1.</_>
-        <_>
-          9 4 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 3 -1.</_>
-        <_>
-          9 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 1 8 -1.</_>
-        <_>
-          9 15 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 2 -1.</_>
-        <_>
-          0 4 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 5 -1.</_>
-        <_>
-          10 11 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 11 1 8 -1.</_>
-        <_>
-          2 15 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 6 7 -1.</_>
-        <_>
-          6 12 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          0 0 2 1 2.</_>
-        <_>
-          2 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 6 7 -1.</_>
-        <_>
-          6 12 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 6 7 -1.</_>
-        <_>
-          3 12 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 8 -1.</_>
-        <_>
-          6 4 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 8 1 -1.</_>
-        <_>
-          6 4 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 10 3 3 -1.</_>
-        <_>
-          8 11 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 10 3 3 -1.</_>
-        <_>
-          4 11 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 8 2 -1.</_>
-        <_>
-          4 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 2 -1.</_>
-        <_>
-          7 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 6 12 -1.</_>
-        <_>
-          3 8 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 3 -1.</_>
-        <_>
-          0 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 4 6 -1.</_>
-        <_>
-          8 13 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 4 6 -1.</_>
-        <_>
-          0 13 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 17 8 2 -1.</_>
-        <_>
-          7 17 4 1 2.</_>
-        <_>
-          3 18 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 10 5 -1.</_>
-        <_>
-          5 14 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 1 -1.</_>
-        <_>
-          9 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 3 1 -1.</_>
-        <_>
-          2 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 6 -1.</_>
-        <_>
-          10 2 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 18 -1.</_>
-        <_>
-          0 9 12 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 1 2 -1.</_>
-        <_>
-          8 6 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 6 -1.</_>
-        <_>
-          10 2 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 6 3 -1.</_>
-        <_>
-          2 2 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 3 -1.</_>
-        <_>
-          8 12 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 11 3 2 -1.</_>
-        <_>
-          4 12 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 4 4 -1.</_>
-        <_>
-          8 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 4 -1.</_>
-        <_>
-          0 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 17 3 3 -1.</_>
-        <_>
-          5 18 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 15 1 3 -1.</_>
-        <_>
-          4 16 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 4 -1.</_>
-        <_>
-          11 10 1 2 2.</_>
-        <_>
-          10 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 4 -1.</_>
-        <_>
-          0 10 1 2 2.</_>
-        <_>
-          1 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 6 -1.</_>
-        <_>
-          10 4 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 3 6 -1.</_>
-        <_>
-          1 4 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 6 -1.</_>
-        <_>
-          11 7 1 3 2.</_>
-        <_>
-          10 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 6 -1.</_>
-        <_>
-          0 7 1 3 2.</_>
-        <_>
-          1 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 3 -1.</_>
-        <_>
-          10 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 3 -1.</_>
-        <_>
-          0 9 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 1 -1.</_>
-        <_>
-          2 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 4 3 -1.</_>
-        <_>
-          4 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 10 10 -1.</_>
-        <_>
-          0 8 5 5 2.</_>
-        <_>
-          5 13 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 8 -1.</_>
-        <_>
-          8 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 6 4 1 -1.</_>
-        <_>
-          3 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 8 -1.</_>
-        <_>
-          8 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 6 -1.</_>
-        <_>
-          6 13 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          0 19 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 18 1 2 -1.</_>
-        <_>
-          3 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 6 -1.</_>
-        <_>
-          10 10 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 6 -1.</_>
-        <_>
-          1 10 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 8 -1.</_>
-        <_>
-          8 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 2 -1.</_>
-        <_>
-          4 2 2 1 2.</_>
-        <_>
-          6 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 12 2 -1.</_>
-        <_>
-          0 8 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          5 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 3 -1.</_>
-        <_>
-          7 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          4 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 1 3 -1.</_>
-        <_>
-          5 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_>
-        <_>
-          1 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 4 -1.</_>
-        <_>
-          11 1 1 2 2.</_>
-        <_>
-          10 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_>
-        <_>
-          1 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 3 3 -1.</_>
-        <_>
-          9 9 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 16 2 2 -1.</_>
-        <_>
-          6 16 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 1 -1.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 3 -1.</_>
-        <_>
-          5 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 3 3 -1.</_>
-        <_>
-          1 7 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 1 8 -1.</_>
-        <_>
-          6 3 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 8 1 -1.</_>
-        <_>
-          6 3 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 13 3 4 -1.</_>
-        <_>
-          7 14 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 1 8 -1.</_>
-        <_>
-          5 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 3 3 -1.</_>
-        <_>
-          8 12 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 13 4 3 -1.</_>
-        <_>
-          5 14 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 4 -1.</_>
-        <_>
-          9 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 4 -1.</_>
-        <_>
-          7 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 4 -1.</_>
-        <_>
-          9 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 4 3 -1.</_>
-        <_>
-          3 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 4 2 -1.</_>
-        <_>
-          6 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 5 2 -1.</_>
-        <_>
-          2 9 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 6 4 -1.</_>
-        <_>
-          6 15 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 1 -1.</_>
-        <_>
-          6 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 3 -1.</_>
-        <_>
-          10 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 1 3 1 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 7 -1.</_>
-        <_>
-          9 4 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 3 7 -1.</_>
-        <_>
-          2 4 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          10 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 6 3 4 -1.</_>
-        <_>
-          2 6 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 3 -1.</_>
-        <_>
-          10 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 1 3 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 9 -1.</_>
-        <_>
-          6 4 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 2 9 -1.</_>
-        <_>
-          4 4 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 8 18 -1.</_>
-        <_>
-          8 1 4 9 2.</_>
-        <_>
-          4 10 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 14 4 6 -1.</_>
-        <_>
-          4 17 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 4 -1.</_>
-        <_>
-          11 1 1 2 2.</_>
-        <_>
-          10 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_>
-        <_>
-          1 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 17 -1.</_>
-        <_>
-          5 0 2 17 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 17 -1.</_>
-        <_>
-          5 0 2 17 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 8 -1.</_>
-        <_>
-          8 9 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 12 12 -1.</_>
-        <_>
-          6 8 6 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 2 2 -1.</_>
-        <_>
-          8 12 1 1 2.</_>
-        <_>
-          7 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 4 3 -1.</_>
-        <_>
-          0 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 2 3 -1.</_>
-        <_>
-          5 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          4 0 2 1 2.</_>
-        <_>
-          6 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 12 -1.</_>
-        <_>
-          11 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 1 18 -1.</_>
-        <_>
-          1 11 1 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 4 5 -1.</_>
-        <_>
-          6 5 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 8 2 -1.</_>
-        <_>
-          5 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          10 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          2 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 8 -1.</_>
-        <_>
-          8 9 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 8 2 -1.</_>
-        <_>
-          4 9 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 3 -1.</_>
-        <_>
-          8 12 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 11 3 2 -1.</_>
-        <_>
-          4 12 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 12 2 2 -1.</_>
-        <_>
-          9 12 1 1 2.</_>
-        <_>
-          8 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 2 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_>
-        <_>
-          3 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 2 2 -1.</_>
-        <_>
-          8 13 1 1 2.</_>
-        <_>
-          7 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 2 2 -1.</_>
-        <_>
-          3 13 1 1 2.</_>
-        <_>
-          4 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 3 3 -1.</_>
-        <_>
-          9 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 7 3 -1.</_>
-        <_>
-          2 3 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 18 2 2 -1.</_>
-        <_>
-          10 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 2 2 -1.</_>
-        <_>
-          0 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 1 -1.</_>
-        <_>
-          10 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 1 -1.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 6 -1.</_>
-        <_>
-          10 3 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 6 -1.</_>
-        <_>
-          1 3 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 3 3 -1.</_>
-        <_>
-          9 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 3 -1.</_>
-        <_>
-          0 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 2 -1.</_>
-        <_>
-          10 11 1 1 2.</_>
-        <_>
-          9 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 2 2 -1.</_>
-        <_>
-          1 11 1 1 2.</_>
-        <_>
-          2 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 1 3 -1.</_>
-        <_>
-          8 13 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 12 4 2 -1.</_>
-        <_>
-          6 12 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 12 1 3 -1.</_>
-        <_>
-          8 13 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 3 1 -1.</_>
-        <_>
-          4 13 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 12 2 2 -1.</_>
-        <_>
-          8 12 1 1 2.</_>
-        <_>
-          7 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 2 2 -1.</_>
-        <_>
-          3 12 1 1 2.</_>
-        <_>
-          4 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 1 3 -1.</_>
-        <_>
-          10 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 2 -1.</_>
-        <_>
-          0 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 16 1 4 -1.</_>
-        <_>
-          11 17 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 1 4 -1.</_>
-        <_>
-          0 17 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 16 1 3 -1.</_>
-        <_>
-          11 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 1 3 -1.</_>
-        <_>
-          0 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 3 -1.</_>
-        <_>
-          5 9 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 2 -1.</_>
-        <_>
-          7 9 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 14 2 2 -1.</_>
-        <_>
-          9 14 1 1 2.</_>
-        <_>
-          8 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 5 3 -1.</_>
-        <_>
-          3 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 3 -1.</_>
-        <_>
-          9 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 4 11 -1.</_>
-        <_>
-          8 5 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 15 4 2 -1.</_>
-        <_>
-          1 15 2 1 2.</_>
-        <_>
-          3 16 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 3 10 -1.</_>
-        <_>
-          8 3 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 3 10 -1.</_>
-        <_>
-          3 3 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 3 2 -1.</_>
-        <_>
-          9 14 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 13 2 3 -1.</_>
-        <_>
-          3 14 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 12 6 -1.</_>
-        <_>
-          0 4 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 2 4 -1.</_>
-        <_>
-          1 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 3 -1.</_>
-        <_>
-          10 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 2 -1.</_>
-        <_>
-          3 0 3 1 2.</_>
-        <_>
-          6 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 3 -1.</_>
-        <_>
-          8 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 3 -1.</_>
-        <_>
-          3 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          5 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 8 16 -1.</_>
-        <_>
-          8 2 4 8 2.</_>
-        <_>
-          4 10 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 8 16 -1.</_>
-        <_>
-          0 2 4 8 2.</_>
-        <_>
-          4 10 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 6 1 -1.</_>
-        <_>
-          6 13 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 6 -1.</_>
-        <_>
-          6 13 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 7 -1.</_>
-        <_>
-          10 9 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 18 1 2 -1.</_>
-        <_>
-          3 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 18 8 2 -1.</_>
-        <_>
-          6 18 4 1 2.</_>
-        <_>
-          2 19 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 3 -1.</_>
-        <_>
-          4 6 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 4 2 -1.</_>
-        <_>
-          4 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 9 -1.</_>
-        <_>
-          1 9 1 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 2 -1.</_>
-        <_>
-          9 13 1 1 2.</_>
-        <_>
-          8 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 2 2 -1.</_>
-        <_>
-          2 13 1 1 2.</_>
-        <_>
-          3 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 12 -1.</_>
-        <_>
-          11 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 8 4 -1.</_>
-        <_>
-          6 7 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 3 3 -1.</_>
-        <_>
-          7 11 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 2 -1.</_>
-        <_>
-          5 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 3 3 -1.</_>
-        <_>
-          9 12 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 14 2 2 -1.</_>
-        <_>
-          3 14 1 1 2.</_>
-        <_>
-          4 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 7 -1.</_>
-        <_>
-          0 13 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 2 -1.</_>
-        <_>
-          11 1 1 1 2.</_>
-        <_>
-          10 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 2 -1.</_>
-        <_>
-          11 1 1 1 2.</_>
-        <_>
-          10 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 1 3 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 1 3 -1.</_>
-        <_>
-          1 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          6 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 8 1 -1.</_>
-        <_>
-          4 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 4 3 -1.</_>
-        <_>
-          8 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 3 -1.</_>
-        <_>
-          0 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 2 -1.</_>
-        <_>
-          9 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 3 9 -1.</_>
-        <_>
-          5 12 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 3 2 -1.</_>
-        <_>
-          8 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 3 2 -1.</_>
-        <_>
-          3 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 1 3 -1.</_>
-        <_>
-          2 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 2 -1.</_>
-        <_>
-          3 2 2 1 2.</_>
-        <_>
-          5 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 4 3 -1.</_>
-        <_>
-          5 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 4 -1.</_>
-        <_>
-          7 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 16 -1.</_>
-        <_>
-          8 0 2 16 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 4 -1.</_>
-        <_>
-          3 13 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          9 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 1 -1.</_>
-        <_>
-          3 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          3 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 3 -1.</_>
-        <_>
-          9 5 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 3 3 -1.</_>
-        <_>
-          0 5 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 2 2 -1.</_>
-        <_>
-          9 11 1 1 2.</_>
-        <_>
-          8 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 2 2 -1.</_>
-        <_>
-          2 11 1 1 2.</_>
-        <_>
-          3 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 1 8 -1.</_>
-        <_>
-          7 12 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 3 8 -1.</_>
-        <_>
-          2 3 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 4 -1.</_>
-        <_>
-          8 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 15 3 4 -1.</_>
-        <_>
-          2 16 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 6 -1.</_>
-        <_>
-          9 4 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 3 6 -1.</_>
-        <_>
-          2 4 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 2 3 -1.</_>
-        <_>
-          7 13 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 10 8 1 -1.</_>
-        <_>
-          5 12 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 15 1 3 -1.</_>
-        <_>
-          7 16 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 16 6 3 -1.</_>
-        <_>
-          0 17 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 2 2 -1.</_>
-        <_>
-          9 12 1 1 2.</_>
-        <_>
-          8 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 2 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_>
-        <_>
-          3 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 1 3 -1.</_>
-        <_>
-          8 13 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 11 2 2 -1.</_>
-        <_>
-          3 11 1 1 2.</_>
-        <_>
-          4 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 15 1 3 -1.</_>
-        <_>
-          7 16 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 3 1 -1.</_>
-        <_>
-          4 13 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 12 2 3 -1.</_>
-        <_>
-          8 13 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 3 2 -1.</_>
-        <_>
-          4 13 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 6 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 14 12 6 -1.</_>
-        <_>
-          0 17 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 6 -1.</_>
-        <_>
-          4 5 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 2 3 -1.</_>
-        <_>
-          5 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 2 3 -1.</_>
-        <_>
-          5 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 2 -1.</_>
-        <_>
-          7 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 5 2 -1.</_>
-        <_>
-          4 9 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 3 5 -1.</_>
-        <_>
-          1 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 8 -1.</_>
-        <_>
-          10 2 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 3 8 -1.</_>
-        <_>
-          1 2 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 6 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 5 -1.</_>
-        <_>
-          6 9 3 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 12 -1.</_>
-        <_>
-          11 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 1 -1.</_>
-        <_>
-          8 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 12 1 3 -1.</_>
-        <_>
-          7 13 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 12 3 1 -1.</_>
-        <_>
-          5 13 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 18 -1.</_>
-        <_>
-          7 2 1 18 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 18 -1.</_>
-        <_>
-          4 2 1 18 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 15 1 3 -1.</_>
-        <_>
-          7 16 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 15 3 1 -1.</_>
-        <_>
-          5 16 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 14 2 2 -1.</_>
-        <_>
-          8 14 1 1 2.</_>
-        <_>
-          7 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 14 2 2 -1.</_>
-        <_>
-          3 14 1 1 2.</_>
-        <_>
-          4 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 3 -1.</_>
-        <_>
-          5 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 2 -1.</_>
-        <_>
-          7 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 2 -1.</_>
-        <_>
-          7 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 12 -1.</_>
-        <_>
-          11 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 4 2 -1.</_>
-        <_>
-          7 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 2 -1.</_>
-        <_>
-          7 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          4 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 3 -1.</_>
-        <_>
-          11 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 6 -1.</_>
-        <_>
-          9 1 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 6 1 -1.</_>
-        <_>
-          3 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_></features></cascade>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_lefteye.xml b/data/haarcascades/haarcascade_mcs_lefteye.xml
deleted file mode 100644
index d745e0593d..0000000000
--- a/data/haarcascades/haarcascade_mcs_lefteye.xml
+++ /dev/null
@@ -1,19209 +0,0 @@
-<?xml version="1.0"?>
-<!--
-18x12 Left eye (in the image) detector computed with 7000 positive samples
-2006-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 – Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 – Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@ARTICLE{Castrillon11-mva,
-					  author = {Modesto Castrill\'on and Oscar D\'eniz and Daniel Hern\'andez and Javier Lorenzo},
-					  title = {A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework},
-					  journal = {Machine Vision and Applications},
-					  year = {2011},
-					  volume = {22},
-					  pages = {481-494},
-					  number = {3},
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
-  <featureType>HAAR</featureType>
-  <height>18</height>
-  <width>12</width>
-  <stageParams>
-    <maxWeakCount>279</maxWeakCount></stageParams>
-  <featureParams>
-    <maxCatCount>0</maxCatCount></featureParams>
-  <stageNum>14</stageNum>
-  <stages>
-    <_>
-      <maxWeakCount>16</maxWeakCount>
-      <stageThreshold>-1.7205799818038940e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 0 -2.2981660068035126e-01</internalNodes>
-          <leafValues>
-            7.4487930536270142e-01 -6.7343497276306152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1 1.5345169603824615e-01</internalNodes>
-          <leafValues>
-            -6.0078161954879761e-01 4.4485649466514587e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2 -6.0938559472560883e-02</internalNodes>
-          <leafValues>
-            5.6126379966735840e-01 -3.1992331147193909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3 1.0585549898678437e-04</internalNodes>
-          <leafValues>
-            -3.6046960949897766e-01 2.6835951209068298e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 4 -2.3147630691528320e-01</internalNodes>
-          <leafValues>
-            4.6166300773620605e-01 -2.0830430090427399e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 5 1.7983419820666313e-02</internalNodes>
-          <leafValues>
-            6.3770942389965057e-02 -5.2076548337936401e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 6 3.9604099583812058e-05</internalNodes>
-          <leafValues>
-            -5.2314782142639160e-01 1.9505259394645691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 7 4.0414137765765190e-03</internalNodes>
-          <leafValues>
-            1.0874629765748978e-01 -5.9878420829772949e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 8 -7.6422527432441711e-02</internalNodes>
-          <leafValues>
-            4.4672968983650208e-01 -1.5376919507980347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 9 9.0553581714630127e-02</internalNodes>
-          <leafValues>
-            -1.1280190199613571e-01 6.2832731008529663e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 10 4.9092499539256096e-03</internalNodes>
-          <leafValues>
-            1.0375600308179855e-01 -6.8671178817749023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 11 3.9859231561422348e-02</internalNodes>
-          <leafValues>
-            5.3353060036897659e-02 -2.4778179824352264e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 12 -1.4214900322258472e-02</internalNodes>
-          <leafValues>
-            -4.9093028903007507e-01 1.4295159280300140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 13 -5.9114010073244572e-03</internalNodes>
-          <leafValues>
-            1.6157889366149902e-01 -1.5571700036525726e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 14 -2.2955809533596039e-01</internalNodes>
-          <leafValues>
-            -3.0875959992408752e-01 2.2363129258155823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 15 -9.3946291599422693e-05</internalNodes>
-          <leafValues>
-            2.8994649648666382e-01 -2.9955458641052246e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>21</maxWeakCount>
-      <stageThreshold>-1.7609959840774536e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 16 1.2731809914112091e-01</internalNodes>
-          <leafValues>
-            -6.5400719642639160e-01 5.6866347789764404e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 17 -7.4433487653732300e-01</internalNodes>
-          <leafValues>
-            6.8870407342910767e-01 -3.4810429811477661e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 18 6.2184786656871438e-05</internalNodes>
-          <leafValues>
-            -6.4049887657165527e-01 2.2681689262390137e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 19 -7.6157607138156891e-02</internalNodes>
-          <leafValues>
-            4.0833848714828491e-01 -6.9403909146785736e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 20 -6.9555312395095825e-02</internalNodes>
-          <leafValues>
-            4.6690088510513306e-01 -2.0247919857501984e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 21 -1.0931000113487244e-01</internalNodes>
-          <leafValues>
-            5.9584200382232666e-01 -2.1001909673213959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 22 3.5818720789393410e-05</internalNodes>
-          <leafValues>
-            -4.6520969271659851e-01 2.0896120369434357e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 23 -8.0066677182912827e-03</internalNodes>
-          <leafValues>
-            -6.9932198524475098e-01 9.4288356602191925e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 24 2.9570680111646652e-02</internalNodes>
-          <leafValues>
-            -1.5442650020122528e-01 4.6668368577957153e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 25 7.4920160695910454e-03</internalNodes>
-          <leafValues>
-            8.8588356971740723e-02 -6.7084282636642456e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 26 -3.7168670445680618e-02</internalNodes>
-          <leafValues>
-            2.5477749109268188e-01 -2.5164219737052917e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 27 -1.2057279795408249e-01</internalNodes>
-          <leafValues>
-            4.6008300781250000e-01 -1.1891700327396393e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 28 -3.7710228934884071e-03</internalNodes>
-          <leafValues>
-            -6.1380928754806519e-01 8.6544543504714966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 29 3.5496661439538002e-05</internalNodes>
-          <leafValues>
-            -1.8688809871673584e-01 1.3584940135478973e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 30 -1.6192409675568342e-03</internalNodes>
-          <leafValues>
-            -5.4013711214065552e-01 9.7694486379623413e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 31 3.6828289012191817e-05</internalNodes>
-          <leafValues>
-            -1.5715110301971436e-01 1.7512370645999908e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 32 4.0976690797833726e-05</internalNodes>
-          <leafValues>
-            -2.2035799920558929e-01 2.4334849417209625e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 33 -7.0347607135772705e-02</internalNodes>
-          <leafValues>
-            4.3083029985427856e-01 -1.2281300127506256e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 34 9.4469271600246429e-02</internalNodes>
-          <leafValues>
-            -1.2159319967031479e-01 4.4967180490493774e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 35 -1.1442740447819233e-02</internalNodes>
-          <leafValues>
-            -6.5516471862792969e-01 7.4961602687835693e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 36 -5.3098648786544800e-03</internalNodes>
-          <leafValues>
-            -6.5974301099777222e-01 5.8748938143253326e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>39</maxWeakCount>
-      <stageThreshold>-1.7233569622039795e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 37 2.4442139267921448e-01</internalNodes>
-          <leafValues>
-            -6.0776811838150024e-01 5.2004802227020264e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 38 -6.6421680152416229e-02</internalNodes>
-          <leafValues>
-            2.1783240139484406e-01 -2.1949340403079987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 39 3.8141721487045288e-01</internalNodes>
-          <leafValues>
-            1.3418859907687875e-06 -4.1691070312500000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 40 -1.5484209358692169e-01</internalNodes>
-          <leafValues>
-            1.4261369407176971e-01 -1.1163700371980667e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 41 -7.9247541725635529e-02</internalNodes>
-          <leafValues>
-            4.4047749042510986e-01 -3.5259070992469788e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 42 -6.3354419544339180e-03</internalNodes>
-          <leafValues>
-            -6.7467969655990601e-01 1.1945989727973938e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 43 5.4770321585237980e-03</internalNodes>
-          <leafValues>
-            -5.2936810255050659e-01 1.6708360612392426e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 44 -1.8857400119304657e-01</internalNodes>
-          <leafValues>
-            2.9692548513412476e-01 -2.7923458814620972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 45 -3.4621960949152708e-03</internalNodes>
-          <leafValues>
-            -5.9800887107849121e-01 1.0177610069513321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 46 3.3069919794797897e-02</internalNodes>
-          <leafValues>
-            -5.9684868901968002e-02 4.0516778826713562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 47 -3.0843779444694519e-02</internalNodes>
-          <leafValues>
-            4.9073100090026855e-01 -1.1531980335712433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 48 -2.5913240388035774e-02</internalNodes>
-          <leafValues>
-            -4.9610319733619690e-01 4.5165680348873138e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 49 -2.1639840677380562e-02</internalNodes>
-          <leafValues>
-            -7.2788608074188232e-01 5.8623861521482468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 50 4.8874882049858570e-03</internalNodes>
-          <leafValues>
-            7.6803073287010193e-02 -5.8085972070693970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 51 -8.4114465862512589e-03</internalNodes>
-          <leafValues>
-            -4.4291898608207703e-01 9.5190443098545074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 52 -1.3218490406870842e-02</internalNodes>
-          <leafValues>
-            3.1048420071601868e-01 -1.3905000686645508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 53 -3.2631229609251022e-02</internalNodes>
-          <leafValues>
-            -5.9402441978454590e-01 6.6915199160575867e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 54 -4.8389490693807602e-03</internalNodes>
-          <leafValues>
-            3.8958698511123657e-01 -7.7219173312187195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 55 -2.3557199165225029e-02</internalNodes>
-          <leafValues>
-            3.6475318670272827e-01 -1.0228029638528824e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 56 -1.6823610290884972e-02</internalNodes>
-          <leafValues>
-            -7.0283937454223633e-01 6.9169528782367706e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 57 -1.2528980150818825e-02</internalNodes>
-          <leafValues>
-            -5.9154832363128662e-01 5.8638110756874084e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 58 1.2736950069665909e-02</internalNodes>
-          <leafValues>
-            -7.8018456697463989e-02 4.6064260601997375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 59 -2.7947379276156425e-02</internalNodes>
-          <leafValues>
-            2.6103180646896362e-01 -1.4536960422992706e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 60 1.9469179213047028e-02</internalNodes>
-          <leafValues>
-            -1.0853669792413712e-01 2.9472211003303528e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 61 1.0143560357391834e-02</internalNodes>
-          <leafValues>
-            8.1535376608371735e-02 -3.9271530508995056e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 62 1.6037160158157349e-01</internalNodes>
-          <leafValues>
-            -4.3566469103097916e-02 4.4445919990539551e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 63 -3.1675389036536217e-03</internalNodes>
-          <leafValues>
-            3.6521100997924805e-01 -8.6025007069110870e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 64 1.2811190448701382e-02</internalNodes>
-          <leafValues>
-            7.0604227483272552e-02 -5.2132707834243774e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 65 -1.8773640692234039e-01</internalNodes>
-          <leafValues>
-            -5.3620547056198120e-01 4.9741908907890320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 66 -1.5811489894986153e-02</internalNodes>
-          <leafValues>
-            -5.6798452138900757e-01 4.5133739709854126e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 67 8.5352314636111259e-03</internalNodes>
-          <leafValues>
-            6.0936510562896729e-02 -4.3938818573951721e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 68 -4.6653081662952900e-03</internalNodes>
-          <leafValues>
-            5.1755487918853760e-01 -5.9410251677036285e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 69 -7.9853478819131851e-03</internalNodes>
-          <leafValues>
-            -4.8022431135177612e-01 6.3563920557498932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 70 -1.5439819544553757e-02</internalNodes>
-          <leafValues>
-            3.1821200251579285e-01 -1.5712760388851166e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 71 2.2927390411496162e-02</internalNodes>
-          <leafValues>
-            6.2798082828521729e-02 -5.4242467880249023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 72 -2.7168919332325459e-03</internalNodes>
-          <leafValues>
-            2.7621048688888550e-01 -6.9310307502746582e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 73 3.0373970512300730e-03</internalNodes>
-          <leafValues>
-            -7.2820127010345459e-02 4.1934990882873535e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 74 9.4063878059387207e-03</internalNodes>
-          <leafValues>
-            5.5666621774435043e-02 -4.3957179784774780e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 75 -1.5984019264578819e-02</internalNodes>
-          <leafValues>
-            -6.0156708955764771e-01 4.4137120246887207e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>47</maxWeakCount>
-      <stageThreshold>-1.7742869853973389e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 76 -1.0876799821853638e+00</internalNodes>
-          <leafValues>
-            6.2948262691497803e-01 -4.1793939471244812e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 77 1.1644390225410461e-01</internalNodes>
-          <leafValues>
-            -4.7279620170593262e-01 2.3814930021762848e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 78 -1.6084710136055946e-02</internalNodes>
-          <leafValues>
-            3.3747270703315735e-01 -2.7527529001235962e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 79 -1.9196059554815292e-02</internalNodes>
-          <leafValues>
-            -5.5098891258239746e-01 5.5942028760910034e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 80 -3.4257121384143829e-02</internalNodes>
-          <leafValues>
-            3.0613619089126587e-01 -2.4234640598297119e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 81 1.0649270378053188e-02</internalNodes>
-          <leafValues>
-            9.3416690826416016e-02 -4.8975810408592224e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 82 -2.2133740130811930e-03</internalNodes>
-          <leafValues>
-            -6.3952380418777466e-01 7.9130217432975769e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 83 4.6288450248539448e-03</internalNodes>
-          <leafValues>
-            5.3504310548305511e-02 -4.7028800845146179e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 84 -4.1199862025678158e-03</internalNodes>
-          <leafValues>
-            -6.3564997911453247e-01 1.1187440156936646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 85 -7.0232590660452843e-03</internalNodes>
-          <leafValues>
-            -4.8968398571014404e-01 5.0502099096775055e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 86 -4.6173902228474617e-03</internalNodes>
-          <leafValues>
-            -6.4962810277938843e-01 6.4744323492050171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 87 2.6568479835987091e-02</internalNodes>
-          <leafValues>
-            -8.1361226737499237e-02 1.0126339644193649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 88 1.4256539940834045e-01</internalNodes>
-          <leafValues>
-            3.6757100373506546e-02 -8.6994658203125000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 89 -7.9922098666429520e-03</internalNodes>
-          <leafValues>
-            -6.2543541193008423e-01 5.8449558913707733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 90 3.2453221082687378e-01</internalNodes>
-          <leafValues>
-            -3.4219488501548767e-02 -7.6455332031250000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 91 -1.0454299859702587e-02</internalNodes>
-          <leafValues>
-            -4.6488571166992188e-01 8.2005582749843597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 92 4.8047330230474472e-02</internalNodes>
-          <leafValues>
-            -1.0950919985771179e-01 5.1447147130966187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 93 -1.3674950227141380e-02</internalNodes>
-          <leafValues>
-            3.0582040548324585e-01 -2.5325518846511841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 94 -1.1149489879608154e-01</internalNodes>
-          <leafValues>
-            3.4372371435165405e-01 -1.5271799266338348e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 95 1.0649849660694599e-02</internalNodes>
-          <leafValues>
-            5.3320560604333878e-02 -5.1434922218322754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 96 -1.3529709540307522e-02</internalNodes>
-          <leafValues>
-            -7.8338938951492310e-01 5.5736631155014038e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 97 -1.2369109690189362e-01</internalNodes>
-          <leafValues>
-            2.8146159648895264e-01 -1.6000339388847351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 98 -7.5496039353311062e-03</internalNodes>
-          <leafValues>
-            -6.1416012048721313e-01 7.6050773262977600e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 99 3.1816150993108749e-02</internalNodes>
-          <leafValues>
-            1.8631579354405403e-02 -5.5372542142868042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 100 1.4937350153923035e-01</internalNodes>
-          <leafValues>
-            -1.6261310083791614e-03 -4.7522329101562500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 101 4.6974778175354004e-02</internalNodes>
-          <leafValues>
-            5.1585468463599682e-03 -6.3808971643447876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 102 1.3677899551112205e-04</internalNodes>
-          <leafValues>
-            -3.0559220910072327e-01 1.3623510301113129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 103 -3.2228238880634308e-02</internalNodes>
-          <leafValues>
-            2.7725520730018616e-01 -1.2864060699939728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 104 -6.5994630567729473e-03</internalNodes>
-          <leafValues>
-            -4.7502130270004272e-01 7.8723862767219543e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 105 2.0983880385756493e-02</internalNodes>
-          <leafValues>
-            -7.5561553239822388e-02 4.3078139424324036e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 106 -1.0513519868254662e-02</internalNodes>
-          <leafValues>
-            3.7563210725784302e-01 -8.3151116967201233e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 107 -9.5620742067694664e-03</internalNodes>
-          <leafValues>
-            -4.2333251237869263e-01 4.3954260647296906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 108 1.4352190191857517e-04</internalNodes>
-          <leafValues>
-            -2.4214309453964233e-01 1.1349590122699738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 109 -3.2147951424121857e-02</internalNodes>
-          <leafValues>
-            3.5538539290428162e-01 -7.4846312403678894e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 110 1.7489150166511536e-02</internalNodes>
-          <leafValues>
-            -1.3482190668582916e-01 3.0287909507751465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 111 1.0752109810709953e-02</internalNodes>
-          <leafValues>
-            2.5839660316705704e-02 -5.4003512859344482e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 112 -1.1907819658517838e-01</internalNodes>
-          <leafValues>
-            2.6561680436134338e-01 -1.0140880197286606e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 113 6.6588749177753925e-03</internalNodes>
-          <leafValues>
-            4.1985969990491867e-02 -2.9074609279632568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 114 8.3990991115570068e-03</internalNodes>
-          <leafValues>
-            5.0455510616302490e-02 -4.8288908600807190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 115 6.0084648430347443e-02</internalNodes>
-          <leafValues>
-            -7.5537391006946564e-02 2.4068169295787811e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 116 -7.4602258391678333e-03</internalNodes>
-          <leafValues>
-            -4.1957080364227295e-01 5.9073001146316528e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 117 -6.0259260237216949e-02</internalNodes>
-          <leafValues>
-            5.4446572065353394e-01 -2.6235830038785934e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 118 -2.2176120430231094e-02</internalNodes>
-          <leafValues>
-            3.2678040862083435e-01 -6.7592807114124298e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 119 -8.3690620958805084e-02</internalNodes>
-          <leafValues>
-            2.9330858588218689e-01 -6.7425176501274109e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 120 1.7420809715986252e-02</internalNodes>
-          <leafValues>
-            -1.2961159646511078e-01 1.8764109909534454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 121 1.6660489141941071e-02</internalNodes>
-          <leafValues>
-            4.7573059797286987e-02 -4.1587299108505249e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 122 -2.0243639126420021e-02</internalNodes>
-          <leafValues>
-            -4.2727139592170715e-01 5.2154850214719772e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>57</maxWeakCount>
-      <stageThreshold>-1.7197259664535522e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 123 -1.8867099285125732e-01</internalNodes>
-          <leafValues>
-            5.1517981290817261e-01 -4.7023481130599976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 124 -1.6401160508394241e-02</internalNodes>
-          <leafValues>
-            3.1213858723640442e-01 -2.1334600448608398e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 125 9.6895441412925720e-02</internalNodes>
-          <leafValues>
-            -5.3204542398452759e-01 2.1343940496444702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 126 1.6825560480356216e-02</internalNodes>
-          <leafValues>
-            -1.7309989780187607e-02 2.9270818829536438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 127 -1.4376440085470676e-02</internalNodes>
-          <leafValues>
-            3.2592949271202087e-01 -2.9534721374511719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 128 -2.5749910622835159e-02</internalNodes>
-          <leafValues>
-            3.0064630508422852e-01 -1.2857210636138916e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 129 -1.9781269133090973e-02</internalNodes>
-          <leafValues>
-            4.6485328674316406e-01 -1.5703229606151581e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 130 1.6008919104933739e-02</internalNodes>
-          <leafValues>
-            -3.1360808759927750e-02 4.0341329574584961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 131 6.0088648460805416e-03</internalNodes>
-          <leafValues>
-            -1.5660379827022552e-01 4.1428649425506592e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 132 -2.9546849429607391e-02</internalNodes>
-          <leafValues>
-            3.1660610437393188e-01 -1.0003100335597992e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 133 -3.3541951328516006e-02</internalNodes>
-          <leafValues>
-            2.7851161360740662e-01 -1.9055849313735962e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 134 -5.6599538773298264e-02</internalNodes>
-          <leafValues>
-            3.0037561058998108e-01 -8.3546951413154602e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 135 -2.1559219807386398e-02</internalNodes>
-          <leafValues>
-            -5.5598390102386475e-01 8.8822707533836365e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 136 1.5560880303382874e-02</internalNodes>
-          <leafValues>
-            -1.1910039931535721e-01 3.9585340023040771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 137 4.7825528308749199e-03</internalNodes>
-          <leafValues>
-            8.7345741689205170e-02 -4.7982570528984070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 138 2.0485429093241692e-02</internalNodes>
-          <leafValues>
-            -3.5323940217494965e-02 3.6914229393005371e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 139 -2.2292459383606911e-02</internalNodes>
-          <leafValues>
-            4.0305820107460022e-01 -9.0521141886711121e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 140 -3.6758739501237869e-02</internalNodes>
-          <leafValues>
-            4.4758310914039612e-01 -7.4373558163642883e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 141 9.3364156782627106e-05</internalNodes>
-          <leafValues>
-            -2.6075458526611328e-01 1.4131860435009003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 142 2.5202730670571327e-02</internalNodes>
-          <leafValues>
-            -9.2907711863517761e-02 2.2109919786453247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 143 7.8968331217765808e-03</internalNodes>
-          <leafValues>
-            7.6843470335006714e-02 -5.0535291433334351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 144 9.2414859682321548e-03</internalNodes>
-          <leafValues>
-            4.2619429528713226e-02 -5.8421218395233154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 145 -2.9902940988540649e-01</internalNodes>
-          <leafValues>
-            -6.1761599779129028e-01 3.8994479924440384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 146 -1.6395589336752892e-02</internalNodes>
-          <leafValues>
-            1.6099959611892700e-01 -1.7298650741577148e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 147 -8.5750846192240715e-03</internalNodes>
-          <leafValues>
-            -4.7212529182434082e-01 6.2937706708908081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 148 -2.9535809531807899e-02</internalNodes>
-          <leafValues>
-            -4.9239841103553772e-01 5.1177121698856354e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 149 -3.2347880303859711e-02</internalNodes>
-          <leafValues>
-            4.0244650840759277e-01 -7.1692280471324921e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 150 -9.8570148111321032e-05</internalNodes>
-          <leafValues>
-            1.1238799989223480e-01 -1.1841180175542831e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 151 -6.0801780782639980e-03</internalNodes>
-          <leafValues>
-            3.0995729565620422e-01 -8.0562673509120941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 152 -9.9669457995332778e-05</internalNodes>
-          <leafValues>
-            1.0579430311918259e-01 -1.4792940020561218e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 153 -2.1383209154009819e-02</internalNodes>
-          <leafValues>
-            -5.4032498598098755e-01 4.6587809920310974e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 154 -3.6912590730935335e-03</internalNodes>
-          <leafValues>
-            1.6310860216617584e-01 -1.0495279729366302e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 155 -5.3881132043898106e-03</internalNodes>
-          <leafValues>
-            2.3987619578838348e-01 -9.9885337054729462e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 156 8.0342441797256470e-03</internalNodes>
-          <leafValues>
-            8.5697777569293976e-02 -4.3955859541893005e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 157 1.3848580420017242e-02</internalNodes>
-          <leafValues>
-            4.9855940043926239e-02 -4.0910118818283081e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 158 8.5337793279904872e-05</internalNodes>
-          <leafValues>
-            -1.0749509930610657e-01 1.1259689927101135e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 159 8.9258137450087816e-05</internalNodes>
-          <leafValues>
-            -1.5447759628295898e-01 1.4948590099811554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 160 -3.5984220448881388e-03</internalNodes>
-          <leafValues>
-            3.2772010564804077e-01 -1.0665640234947205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 161 -4.4713199138641357e-02</internalNodes>
-          <leafValues>
-            3.8490360975265503e-01 -5.2156228572130203e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 162 2.5462699122726917e-03</internalNodes>
-          <leafValues>
-            9.3764789402484894e-02 -3.1739538908004761e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 163 5.4153460077941418e-03</internalNodes>
-          <leafValues>
-            4.4747829437255859e-02 -4.5446330308914185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 164 -3.8136299699544907e-02</internalNodes>
-          <leafValues>
-            1.1968670040369034e-01 -2.8659410774707794e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 165 3.9066441357135773e-02</internalNodes>
-          <leafValues>
-            -5.9036519378423691e-02 3.7312299013137817e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 166 -7.3346862336620688e-05</internalNodes>
-          <leafValues>
-            1.1904189735651016e-01 -8.6984328925609589e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 167 8.6998203187249601e-05</internalNodes>
-          <leafValues>
-            -1.2818220257759094e-01 1.7282059788703918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 168 8.5675828158855438e-03</internalNodes>
-          <leafValues>
-            8.4652923047542572e-02 -3.1986621022224426e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 169 2.1785700693726540e-02</internalNodes>
-          <leafValues>
-            -9.5438472926616669e-02 2.6069849729537964e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 170 -1.3853549957275391e-02</internalNodes>
-          <leafValues>
-            -4.2176169157028198e-01 6.7462787032127380e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 171 1.3838020153343678e-02</internalNodes>
-          <leafValues>
-            4.6685520559549332e-02 -4.1521659493446350e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 172 6.4620330929756165e-02</internalNodes>
-          <leafValues>
-            4.5818310230970383e-02 -4.2234459519386292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 173 -7.7921353280544281e-02</internalNodes>
-          <leafValues>
-            1.3241249322891235e-01 -1.7063279449939728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 174 -1.3160440139472485e-03</internalNodes>
-          <leafValues>
-            -2.4945159256458282e-01 5.8696459978818893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 175 -8.0401099694427103e-05</internalNodes>
-          <leafValues>
-            1.6288639605045319e-01 -1.3877080380916595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 176 -1.5328170359134674e-01</internalNodes>
-          <leafValues>
-            8.4274210035800934e-02 -6.3795030117034912e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 177 -3.7534290552139282e-01</internalNodes>
-          <leafValues>
-            -4.7942790389060974e-01 5.0034828484058380e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 178 -6.5958919003605843e-03</internalNodes>
-          <leafValues>
-            -5.4609411954879761e-01 2.1260960027575493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 179 -2.6368419639766216e-03</internalNodes>
-          <leafValues>
-            2.0740880072116852e-01 -9.0863786637783051e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>87</maxWeakCount>
-      <stageThreshold>-1.5970319509506226e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 180 -1.3923250138759613e-01</internalNodes>
-          <leafValues>
-            3.9778509736061096e-01 -4.2140689492225647e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 181 -2.1697379648685455e-02</internalNodes>
-          <leafValues>
-            3.5074549913406372e-01 -2.7210709452629089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 182 -1.6921959817409515e-02</internalNodes>
-          <leafValues>
-            3.0072468519210815e-01 -2.0905600488185883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 183 -1.2638090550899506e-01</internalNodes>
-          <leafValues>
-            2.7693378925323486e-01 -1.5910360217094421e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 184 7.9917982220649719e-02</internalNodes>
-          <leafValues>
-            1.9333909731358290e-03 -4.4651162109375000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 185 2.3830069229006767e-02</internalNodes>
-          <leafValues>
-            -8.2632936537265778e-02 4.6384599804878235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 186 2.7771110180765390e-03</internalNodes>
-          <leafValues>
-            -3.1618759036064148e-01 1.3602599501609802e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 187 2.0749870687723160e-02</internalNodes>
-          <leafValues>
-            -7.9823397099971771e-02 4.0180650353431702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 188 -1.1794520169496536e-01</internalNodes>
-          <leafValues>
-            1.3564899563789368e-01 -2.5304868817329407e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 189 -1.0733289644122124e-02</internalNodes>
-          <leafValues>
-            -4.2779821157455444e-01 7.4749030172824860e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 190 -4.8003909178078175e-03</internalNodes>
-          <leafValues>
-            -4.5992958545684814e-01 8.4859356284141541e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 191 2.1411910653114319e-01</internalNodes>
-          <leafValues>
-            -3.9827909320592880e-02 5.4082971811294556e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 192 1.8059259280562401e-02</internalNodes>
-          <leafValues>
-            -6.2530867755413055e-02 4.3062299489974976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 193 -4.3898928910493851e-02</internalNodes>
-          <leafValues>
-            -6.8367981910705566e-01 4.5472368597984314e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 194 -3.3046580851078033e-02</internalNodes>
-          <leafValues>
-            -6.3071948289871216e-01 5.5151920765638351e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 195 -6.1799539253115654e-03</internalNodes>
-          <leafValues>
-            -5.7958608865737915e-01 2.4057779461145401e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 196 -3.7160899955779314e-03</internalNodes>
-          <leafValues>
-            3.4918940067291260e-01 -9.0143196284770966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 197 -2.0229220390319824e-03</internalNodes>
-          <leafValues>
-            2.5062409043312073e-01 -1.1073890328407288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 198 -2.9851049184799194e-03</internalNodes>
-          <leafValues>
-            -4.9283251166343689e-01 6.1420619487762451e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 199 -2.1937670186161995e-02</internalNodes>
-          <leafValues>
-            -6.4279460906982422e-01 3.6441151052713394e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 200 -2.9425110667943954e-02</internalNodes>
-          <leafValues>
-            3.7635400891304016e-01 -8.1937380135059357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 201 2.8613150119781494e-02</internalNodes>
-          <leafValues>
-            -1.0507760196924210e-01 2.6363629102706909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 202 -3.1147850677371025e-02</internalNodes>
-          <leafValues>
-            2.1914839744567871e-01 -1.3096660375595093e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 203 1.5485489740967751e-02</internalNodes>
-          <leafValues>
-            4.6385299414396286e-02 -5.3420221805572510e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 204 3.5835360176861286e-03</internalNodes>
-          <leafValues>
-            -8.6932182312011719e-02 3.4212189912796021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 205 -4.2567998170852661e-02</internalNodes>
-          <leafValues>
-            -5.5589598417282104e-01 3.7941809743642807e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 206 -2.7038659900426865e-02</internalNodes>
-          <leafValues>
-            -4.6420338749885559e-01 4.7554321587085724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 207 -2.4411270394921303e-02</internalNodes>
-          <leafValues>
-            2.5650748610496521e-01 -4.9011740833520889e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 208 -2.2230079397559166e-02</internalNodes>
-          <leafValues>
-            1.4793260395526886e-01 -1.8224009871482849e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 209 -3.2013750169426203e-03</internalNodes>
-          <leafValues>
-            -4.2445948719978333e-01 5.6803259998559952e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 210 1.9253490492701530e-02</internalNodes>
-          <leafValues>
-            -9.1576658189296722e-02 2.6069998741149902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 211 -3.0006920918822289e-02</internalNodes>
-          <leafValues>
-            3.1864610314369202e-01 -4.5917291194200516e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 212 3.3000361174345016e-02</internalNodes>
-          <leafValues>
-            4.2162541300058365e-02 -5.9096622467041016e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 213 -2.3642620071768761e-02</internalNodes>
-          <leafValues>
-            -2.6040360331535339e-01 1.1056790128350258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 214 4.7398939728736877e-02</internalNodes>
-          <leafValues>
-            -4.0648590773344040e-02 5.2747577428817749e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 215 5.8793718926608562e-03</internalNodes>
-          <leafValues>
-            3.1395949423313141e-02 -5.6056851148605347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 216 -5.0995089113712311e-03</internalNodes>
-          <leafValues>
-            1.6041420400142670e-01 -1.2821219861507416e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 217 8.3196107298135757e-03</internalNodes>
-          <leafValues>
-            6.2852732837200165e-02 -3.3706670999526978e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 218 -1.0153040289878845e-02</internalNodes>
-          <leafValues>
-            -4.0614789724349976e-01 4.9781490117311478e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 219 -1.4680469757877290e-04</internalNodes>
-          <leafValues>
-            5.0883788615465164e-02 -1.3009959459304810e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 220 -8.2523627497721463e-05</internalNodes>
-          <leafValues>
-            9.2607311904430389e-02 -2.4926769733428955e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 221 3.2566609978675842e-01</internalNodes>
-          <leafValues>
-            1.7539579421281815e-02 -4.3454650044441223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 222 -1.7673589289188385e-01</internalNodes>
-          <leafValues>
-            2.5083240866661072e-01 -7.6596006751060486e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 223 -2.3230949416756630e-02</internalNodes>
-          <leafValues>
-            -8.7154947221279144e-02 4.1584961116313934e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 224 -3.4149870276451111e-02</internalNodes>
-          <leafValues>
-            -5.3139698505401611e-01 3.1369328498840332e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 225 7.6567879877984524e-03</internalNodes>
-          <leafValues>
-            3.3216360956430435e-02 -4.6255061030387878e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 226 -2.3248200304806232e-03</internalNodes>
-          <leafValues>
-            2.8282898664474487e-01 -6.4993821084499359e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 227 4.7129541635513306e-03</internalNodes>
-          <leafValues>
-            -5.6760489940643311e-02 4.7958448529243469e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 228 1.2744029518216848e-03</internalNodes>
-          <leafValues>
-            -9.1237403452396393e-02 2.0502130687236786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 229 4.6741148829460144e-01</internalNodes>
-          <leafValues>
-            -8.2844244316220284e-03 6.4706552028656006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 230 2.2155679762363434e-01</internalNodes>
-          <leafValues>
-            4.7312051057815552e-02 -4.3190020322799683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 231 -4.1782769560813904e-01</internalNodes>
-          <leafValues>
-            2.3462800681591034e-01 -9.6403822302818298e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 232 -6.9181760773062706e-03</internalNodes>
-          <leafValues>
-            -6.5903311967849731e-01 2.7876710519194603e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 233 -9.3640871345996857e-03</internalNodes>
-          <leafValues>
-            -5.3879237174987793e-01 7.2180288843810558e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 234 -5.8122459799051285e-02</internalNodes>
-          <leafValues>
-            -3.2751038670539856e-01 4.8486240208148956e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 235 2.1331639587879181e-01</internalNodes>
-          <leafValues>
-            3.8768779486417770e-02 -4.3802970647811890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 236 -1.3960640132427216e-01</internalNodes>
-          <leafValues>
-            -1.5554350614547729e-01 1.1561460047960281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 237 7.5554853538051248e-05</internalNodes>
-          <leafValues>
-            -6.5331228077411652e-02 6.6364876925945282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 238 -2.7876798994839191e-03</internalNodes>
-          <leafValues>
-            -3.4007069468498230e-01 4.9547281116247177e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 239 8.9983027428388596e-03</internalNodes>
-          <leafValues>
-            -6.9725103676319122e-02 1.4761850237846375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 240 -1.1999090202152729e-02</internalNodes>
-          <leafValues>
-            -5.6046062707901001e-01 2.8065089136362076e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 241 6.0021178796887398e-04</internalNodes>
-          <leafValues>
-            -1.0572089999914169e-01 1.5775670111179352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 242 9.2567745596170425e-03</internalNodes>
-          <leafValues>
-            3.8413699716329575e-02 -3.8968989253044128e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 243 3.4195061773061752e-02</internalNodes>
-          <leafValues>
-            -4.3271619826555252e-02 3.2461801171302795e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 244 8.9471039245836437e-05</internalNodes>
-          <leafValues>
-            -1.2697300314903259e-01 1.1217790096998215e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 245 -1.4595150016248226e-02</internalNodes>
-          <leafValues>
-            -4.6333798766136169e-01 2.1406309679150581e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 246 -1.7585840076208115e-02</internalNodes>
-          <leafValues>
-            -6.9478857517242432e-01 1.9910650327801704e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 247 -1.0673370212316513e-01</internalNodes>
-          <leafValues>
-            2.2440390288829803e-01 -8.3739936351776123e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 248 1.5211959835141897e-03</internalNodes>
-          <leafValues>
-            -7.0772707462310791e-02 2.1141250431537628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 249 4.4221947900950909e-03</internalNodes>
-          <leafValues>
-            -4.4280070811510086e-02 6.9831520318984985e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 250 1.4256490394473076e-02</internalNodes>
-          <leafValues>
-            -7.4920579791069031e-02 1.8968519568443298e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 251 -1.8462610244750977e-01</internalNodes>
-          <leafValues>
-            4.4100850820541382e-01 -1.2149159796535969e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 252 -3.7447769194841385e-02</internalNodes>
-          <leafValues>
-            2.0523670315742493e-01 -6.5888322889804840e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 253 -4.0164001286029816e-02</internalNodes>
-          <leafValues>
-            1.1740049719810486e-01 -4.5672550797462463e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 254 1.6907710582017899e-02</internalNodes>
-          <leafValues>
-            3.6988031119108200e-02 -3.8368159532546997e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 255 -2.0021539181470871e-02</internalNodes>
-          <leafValues>
-            1.7874790728092194e-01 -6.1599351465702057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 256 -1.6288159787654877e-01</internalNodes>
-          <leafValues>
-            1.2341959774494171e-01 -1.2213180214166641e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 257 -3.4911129623651505e-02</internalNodes>
-          <leafValues>
-            -4.9633871763944626e-02 1.9904270768165588e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 258 1.4563520252704620e-01</internalNodes>
-          <leafValues>
-            3.0545150861144066e-02 -4.8735851049423218e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 259 -5.5962290614843369e-02</internalNodes>
-          <leafValues>
-            1.9134880602359772e-01 -1.5231589786708355e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 260 4.5775189995765686e-02</internalNodes>
-          <leafValues>
-            -3.9633229374885559e-02 3.8051769137382507e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 261 -8.0509930849075317e-03</internalNodes>
-          <leafValues>
-            -4.3102619051933289e-01 3.6386191844940186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 262 -2.2925350815057755e-02</internalNodes>
-          <leafValues>
-            -3.4417879581451416e-01 3.8492590188980103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 263 6.1498250812292099e-02</internalNodes>
-          <leafValues>
-            -1.6033710911870003e-02 5.0832337141036987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 264 -3.6888670176267624e-02</internalNodes>
-          <leafValues>
-            3.9321890473365784e-01 -4.0520060807466507e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 265 -5.3545171394944191e-03</internalNodes>
-          <leafValues>
-            2.5463691353797913e-01 -1.1604879796504974e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 266 -2.8639370575547218e-03</internalNodes>
-          <leafValues>
-            -4.9273601174354553e-01 2.9153689742088318e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>105</maxWeakCount>
-      <stageThreshold>-1.6688350439071655e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 267 -1.4266750216484070e-01</internalNodes>
-          <leafValues>
-            4.3372631072998047e-01 -3.4658440947532654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 268 1.2835499644279480e-01</internalNodes>
-          <leafValues>
-            -4.6544489264488220e-01 1.2816609442234039e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 269 -3.6054801195859909e-02</internalNodes>
-          <leafValues>
-            4.2594429850578308e-01 -1.7720609903335571e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 270 -2.0345430821180344e-02</internalNodes>
-          <leafValues>
-            1.5119360387325287e-01 -1.2275329977273941e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 271 1.7666049301624298e-01</internalNodes>
-          <leafValues>
-            1.5241350233554840e-01 -4.2538949847221375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 272 -1.6737949848175049e-01</internalNodes>
-          <leafValues>
-            1.9125799834728241e-01 -1.8758560717105865e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 273 2.9252300038933754e-02</internalNodes>
-          <leafValues>
-            -1.7955209314823151e-01 2.1316510438919067e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 274 -1.5593099594116211e-01</internalNodes>
-          <leafValues>
-            3.9090821146965027e-01 -6.6500350832939148e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 275 1.6342889517545700e-02</internalNodes>
-          <leafValues>
-            -8.5122779011726379e-02 4.2280659079551697e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 276 8.9803266746457666e-05</internalNodes>
-          <leafValues>
-            -2.4278439581394196e-01 1.0720120370388031e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 277 1.1503130197525024e-01</internalNodes>
-          <leafValues>
-            -2.8022350743412971e-03 -2.7832890625000000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 278 2.8660349926212803e-05</internalNodes>
-          <leafValues>
-            -1.6912069916725159e-01 8.9088812470436096e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 279 2.8660349926212803e-05</internalNodes>
-          <leafValues>
-            -2.9618909955024719e-01 9.9382899701595306e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 280 -1.0209850035607815e-02</internalNodes>
-          <leafValues>
-            -4.8395550251007080e-01 5.6625138968229294e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 281 -1.4060369692742825e-02</internalNodes>
-          <leafValues>
-            -4.1411420702934265e-01 6.3427872955799103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 282 -1.3348869979381561e-02</internalNodes>
-          <leafValues>
-            -4.6387439966201782e-01 2.8384190052747726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 283 -1.2555249966681004e-02</internalNodes>
-          <leafValues>
-            -6.1879467964172363e-01 4.2754668742418289e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 284 2.7381330728530884e-02</internalNodes>
-          <leafValues>
-            -5.2704811096191406e-02 4.1978329420089722e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 285 -4.6162471175193787e-02</internalNodes>
-          <leafValues>
-            3.6497661471366882e-01 -7.2426289319992065e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 286 -1.3097880408167839e-02</internalNodes>
-          <leafValues>
-            -5.7633280754089355e-01 4.7891929745674133e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 287 -2.8415530920028687e-02</internalNodes>
-          <leafValues>
-            -6.0065191984176636e-01 4.4460929930210114e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 288 -6.3479221425950527e-03</internalNodes>
-          <leafValues>
-            3.4814509749412537e-01 -8.9059613645076752e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 289 -9.7118411213159561e-03</internalNodes>
-          <leafValues>
-            -5.1781427860260010e-01 5.6316409260034561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 290 -2.1698420867323875e-02</internalNodes>
-          <leafValues>
-            3.0704519152641296e-01 -9.7163833677768707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 291 -4.4276248663663864e-02</internalNodes>
-          <leafValues>
-            2.5823259353637695e-01 -1.0374239832162857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 292 1.5846580266952515e-02</internalNodes>
-          <leafValues>
-            -1.1106160283088684e-01 1.7839249968528748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 293 -2.1498650312423706e-02</internalNodes>
-          <leafValues>
-            3.4927240014076233e-01 -7.4306637048721313e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 294 -2.9085460118949413e-03</internalNodes>
-          <leafValues>
-            -3.6909541487693787e-01 6.8516843020915985e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 295 -3.1789109110832214e-02</internalNodes>
-          <leafValues>
-            2.3799909651279449e-01 -1.1433179676532745e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 296 1.0769370011985302e-02</internalNodes>
-          <leafValues>
-            3.7151031196117401e-02 -2.5693479180335999e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 297 -4.5090089552104473e-03</internalNodes>
-          <leafValues>
-            -5.7896959781646729e-01 4.4200599193572998e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 298 -5.3212768398225307e-03</internalNodes>
-          <leafValues>
-            8.4435231983661652e-02 -6.3949279487133026e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 299 2.2673929110169411e-02</internalNodes>
-          <leafValues>
-            5.1544409245252609e-02 -4.2098081111907959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 300 6.8509699776768684e-03</internalNodes>
-          <leafValues>
-            -3.7454128265380859e-02 4.5131939649581909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 301 9.6230360213667154e-05</internalNodes>
-          <leafValues>
-            -2.0744919776916504e-01 1.0465460270643234e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 302 -2.1092059090733528e-02</internalNodes>
-          <leafValues>
-            2.9160910844802856e-01 -6.2598362565040588e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 303 -1.3403449952602386e-01</internalNodes>
-          <leafValues>
-            2.1969069540500641e-01 -8.8791713118553162e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 304 -2.5435289368033409e-02</internalNodes>
-          <leafValues>
-            4.0824308991432190e-01 -2.4545410647988319e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 305 1.0543379932641983e-02</internalNodes>
-          <leafValues>
-            -8.7642289698123932e-02 2.7179768681526184e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 306 9.4132553786039352e-03</internalNodes>
-          <leafValues>
-            1.4178940095007420e-02 -4.5865899324417114e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 307 8.5997307905927300e-05</internalNodes>
-          <leafValues>
-            -2.3912850022315979e-01 9.1947212815284729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 308 1.0819079761859030e-04</internalNodes>
-          <leafValues>
-            -1.0928899794816971e-01 1.1509460210800171e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 309 2.4240869283676147e-01</internalNodes>
-          <leafValues>
-            -6.7185372114181519e-02 2.8136798739433289e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 310 -4.4038531184196472e-01</internalNodes>
-          <leafValues>
-            -4.3575769662857056e-01 2.1214749664068222e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 311 -8.7453149259090424e-02</internalNodes>
-          <leafValues>
-            1.1308129876852036e-01 -1.8478089570999146e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 312 -4.1170339100062847e-03</internalNodes>
-          <leafValues>
-            2.5076529383659363e-01 -3.2897919416427612e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 313 -2.6375779882073402e-02</internalNodes>
-          <leafValues>
-            3.1278228759765625e-01 -5.9065271168947220e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 314 -7.3441797867417336e-03</internalNodes>
-          <leafValues>
-            -4.7725179791450500e-01 3.7147458642721176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 315 3.6828289012191817e-05</internalNodes>
-          <leafValues>
-            -1.3358670473098755e-01 1.3294130563735962e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 316 1.0050609707832336e-02</internalNodes>
-          <leafValues>
-            -4.6177990734577179e-02 2.8381499648094177e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 317 -1.0713540017604828e-02</internalNodes>
-          <leafValues>
-            -4.3290948867797852e-01 4.2332980781793594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 318 -1.0501730255782604e-02</internalNodes>
-          <leafValues>
-            -2.1639239788055420e-01 4.1059028357267380e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 319 -1.7940669786185026e-03</internalNodes>
-          <leafValues>
-            1.2304940074682236e-01 -1.3850529491901398e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 320 1.5323059633374214e-02</internalNodes>
-          <leafValues>
-            2.8011020272970200e-02 -3.7447929382324219e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 321 -8.3098020404577255e-03</internalNodes>
-          <leafValues>
-            -5.2052259445190430e-01 2.8341950848698616e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 322 3.0231740325689316e-02</internalNodes>
-          <leafValues>
-            -6.6902980208396912e-02 2.5790691375732422e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 323 1.0883569717407227e-02</internalNodes>
-          <leafValues>
-            6.2571577727794647e-02 -2.6860889792442322e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 324 9.5374789088964462e-03</internalNodes>
-          <leafValues>
-            2.9198259115219116e-02 -4.7998219728469849e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 325 -3.9999200962483883e-03</internalNodes>
-          <leafValues>
-            2.4949370324611664e-01 -6.5544649958610535e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 326 9.2205414548516273e-03</internalNodes>
-          <leafValues>
-            3.9968650788068771e-02 -3.7524449825286865e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 327 -3.2748740166425705e-02</internalNodes>
-          <leafValues>
-            2.6545938849449158e-01 -6.3016481697559357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 328 -2.3801359347999096e-03</internalNodes>
-          <leafValues>
-            1.2308929860591888e-01 -2.7479890733957291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 329 1.6849349485710263e-03</internalNodes>
-          <leafValues>
-            -7.6166503131389618e-02 2.2750720381736755e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 330 7.1630808524787426e-03</internalNodes>
-          <leafValues>
-            3.9477579295635223e-02 -4.4354990124702454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 331 1.6813669353723526e-02</internalNodes>
-          <leafValues>
-            3.3588510006666183e-02 -3.9953568577766418e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 332 3.2795818697195500e-05</internalNodes>
-          <leafValues>
-            -1.5435990691184998e-01 9.5962576568126678e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 333 -1.9717039540410042e-03</internalNodes>
-          <leafValues>
-            2.3365209996700287e-01 -5.9957198798656464e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 334 -2.6993690058588982e-02</internalNodes>
-          <leafValues>
-            -4.1374289989471436e-01 4.2008690536022186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 335 1.4177109301090240e-01</internalNodes>
-          <leafValues>
-            3.9520148187875748e-02 -3.4029808640480042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 336 -1.3679260388016701e-02</internalNodes>
-          <leafValues>
-            -1.6057309508323669e-01 3.4863740205764771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 337 2.9184529557824135e-02</internalNodes>
-          <leafValues>
-            4.3370950967073441e-02 -4.0030288696289062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 338 1.1129399761557579e-02</internalNodes>
-          <leafValues>
-            -7.8534290194511414e-02 1.7960290610790253e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 339 -1.0935500264167786e-02</internalNodes>
-          <leafValues>
-            -3.6025050282478333e-01 4.2995098978281021e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 340 -3.0513479941873811e-05</internalNodes>
-          <leafValues>
-            8.9370213449001312e-02 -4.1889280080795288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 341 3.2795818697195500e-05</internalNodes>
-          <leafValues>
-            -1.8075449764728546e-01 9.5909386873245239e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 342 -2.3117760196328163e-02</internalNodes>
-          <leafValues>
-            -2.6796799898147583e-01 1.0017570108175278e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 343 1.3803930021822453e-02</internalNodes>
-          <leafValues>
-            3.0247809365391731e-02 -4.1577160358428955e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 344 1.4790579676628113e-02</internalNodes>
-          <leafValues>
-            -6.2628433108329773e-02 1.7893029749393463e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 345 -1.4307799935340881e-01</internalNodes>
-          <leafValues>
-            -1.6115669906139374e-01 8.9231662452220917e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 346 1.9987529143691063e-02</internalNodes>
-          <leafValues>
-            -4.7062009572982788e-02 1.6109189391136169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 347 1.4205900020897388e-02</internalNodes>
-          <leafValues>
-            2.3043379187583923e-02 -5.4757040739059448e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 348 -1.7248879885300994e-03</internalNodes>
-          <leafValues>
-            9.4482786953449249e-02 -4.8485349863767624e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 349 -1.3548379763960838e-02</internalNodes>
-          <leafValues>
-            1.2788389623165131e-01 -9.9656976759433746e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 350 6.2871202826499939e-02</internalNodes>
-          <leafValues>
-            4.1690871119499207e-02 -3.6751130223274231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 351 -6.9153852760791779e-02</internalNodes>
-          <leafValues>
-            2.7378571033477783e-01 -6.2963612377643585e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 352 -2.1734459698200226e-01</internalNodes>
-          <leafValues>
-            1.8304589390754700e-01 -9.9257007241249084e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 353 2.7469780296087265e-02</internalNodes>
-          <leafValues>
-            -1.9286830723285675e-01 7.5987569987773895e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 354 4.6957340091466904e-02</internalNodes>
-          <leafValues>
-            -1.8775250762701035e-02 4.6314349770545959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 355 1.8086720257997513e-02</internalNodes>
-          <leafValues>
-            -5.2328471094369888e-02 2.8864291310310364e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 356 -1.3927269726991653e-02</internalNodes>
-          <leafValues>
-            2.5085431337356567e-01 -1.9651040434837341e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 357 -1.2526209652423859e-01</internalNodes>
-          <leafValues>
-            1.4717139303684235e-01 -9.1146282851696014e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 358 -1.0891130194067955e-02</internalNodes>
-          <leafValues>
-            -1.2665599584579468e-01 1.0399430058896542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 359 1.0924959555268288e-02</internalNodes>
-          <leafValues>
-            -3.5003058612346649e-02 4.4608950614929199e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 360 3.2539550215005875e-02</internalNodes>
-          <leafValues>
-            1.8497619777917862e-02 -5.9167790412902832e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 361 -2.0845759660005569e-02</internalNodes>
-          <leafValues>
-            -3.9082339406013489e-01 3.4703880548477173e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 362 -2.3641270399093628e-01</internalNodes>
-          <leafValues>
-            4.8828721046447754e-01 -3.0029779300093651e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 363 -1.5634840726852417e-01</internalNodes>
-          <leafValues>
-            -3.3450639247894287e-01 4.0134359151124954e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 364 -4.2001541703939438e-02</internalNodes>
-          <leafValues>
-            8.6142227053642273e-02 -2.4942040443420410e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 365 2.5715960655361414e-03</internalNodes>
-          <leafValues>
-            -4.8461031168699265e-02 2.3894819617271423e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 366 -1.7130700871348381e-02</internalNodes>
-          <leafValues>
-            -3.2887008786201477e-01 4.8260189592838287e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 367 1.1991130188107491e-02</internalNodes>
-          <leafValues>
-            3.7000309675931931e-02 -3.0085611343383789e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 368 -1.0165110230445862e-02</internalNodes>
-          <leafValues>
-            2.1159230172634125e-01 -1.3456389307975769e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 369 3.1752940267324448e-02</internalNodes>
-          <leafValues>
-            -2.5855910032987595e-02 5.6194078922271729e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 370 3.5542049445211887e-03</internalNodes>
-          <leafValues>
-            7.7353782951831818e-02 -2.3569710552692413e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 371 1.5985440462827682e-02</internalNodes>
-          <leafValues>
-            3.7367980927228928e-02 -3.2395151257514954e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>126</maxWeakCount>
-      <stageThreshold>-1.6429220438003540e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 372 -8.3694636821746826e-02</internalNodes>
-          <leafValues>
-            3.4100440144538879e-01 -3.7553939223289490e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 373 -1.3659610413014889e-02</internalNodes>
-          <leafValues>
-            2.7409899234771729e-01 -2.1383710205554962e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 374 -1.2971660122275352e-02</internalNodes>
-          <leafValues>
-            2.8143510222434998e-01 -2.6921510696411133e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 375 -2.4979710578918457e-02</internalNodes>
-          <leafValues>
-            1.7793020606040955e-01 -1.1710070073604584e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 376 -4.0136750787496567e-02</internalNodes>
-          <leafValues>
-            2.8855401277542114e-01 -1.9427180290222168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 377 -6.0740387998521328e-03</internalNodes>
-          <leafValues>
-            1.5903720259666443e-01 -1.4931740239262581e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 378 2.8471080586314201e-02</internalNodes>
-          <leafValues>
-            -4.4332811236381531e-01 7.4799977242946625e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 379 1.6766659915447235e-02</internalNodes>
-          <leafValues>
-            -6.0499768704175949e-02 4.2109870910644531e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 380 -7.2914727032184601e-02</internalNodes>
-          <leafValues>
-            2.0749080181121826e-01 -1.4727330207824707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 381 1.7743000760674477e-02</internalNodes>
-          <leafValues>
-            -4.8589050769805908e-02 1.1596550047397614e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 382 -2.9501529410481453e-02</internalNodes>
-          <leafValues>
-            2.9439669847488403e-01 -9.6627213060855865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 383 4.0625121444463730e-02</internalNodes>
-          <leafValues>
-            -2.6239100843667984e-02 4.6830970048904419e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 384 -2.1779349073767662e-02</internalNodes>
-          <leafValues>
-            3.1120860576629639e-01 -1.0223499685525894e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 385 3.4435780253261328e-03</internalNodes>
-          <leafValues>
-            5.6111920624971390e-02 -4.1161030530929565e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 386 -5.5878269486129284e-03</internalNodes>
-          <leafValues>
-            2.9298371076583862e-01 -9.6122913062572479e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 387 -4.7618029639124870e-03</internalNodes>
-          <leafValues>
-            -4.6502849459648132e-01 5.9193320572376251e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 388 -5.9781860560178757e-02</internalNodes>
-          <leafValues>
-            3.5532829165458679e-01 -8.0377146601676941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 389 6.0978909023106098e-03</internalNodes>
-          <leafValues>
-            -1.6692450270056725e-02 1.6469989717006683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 390 -2.7368629351258278e-02</internalNodes>
-          <leafValues>
-            2.6564338803291321e-01 -1.0004770010709763e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 391 8.0997692421078682e-03</internalNodes>
-          <leafValues>
-            1.8760479986667633e-02 -4.7523689270019531e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 392 -2.5963999796658754e-03</internalNodes>
-          <leafValues>
-            -3.5978320240974426e-01 6.4545221626758575e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 393 3.1593199819326401e-02</internalNodes>
-          <leafValues>
-            -3.7798259407281876e-02 2.3075990378856659e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 394 1.0456099698785692e-04</internalNodes>
-          <leafValues>
-            -2.8685820102691650e-01 8.7096959352493286e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 395 -5.1906198263168335e-02</internalNodes>
-          <leafValues>
-            8.3963796496391296e-02 -2.0532630383968353e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 396 2.4498499929904938e-02</internalNodes>
-          <leafValues>
-            -8.2814618945121765e-02 2.8475210070610046e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 397 1.2566380202770233e-02</internalNodes>
-          <leafValues>
-            -4.5279160141944885e-02 2.1674649417400360e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 398 -9.1318622231483459e-02</internalNodes>
-          <leafValues>
-            -4.4230499863624573e-01 4.7104880213737488e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 399 6.6391900181770325e-03</internalNodes>
-          <leafValues>
-            2.9059579595923424e-02 -5.2252948284149170e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 400 1.7127700150012970e-02</internalNodes>
-          <leafValues>
-            2.7933819219470024e-02 -5.7958590984344482e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 401 -6.0757698520319536e-05</internalNodes>
-          <leafValues>
-            1.0102690011262894e-01 -9.3878470361232758e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 402 7.7282187703531235e-05</internalNodes>
-          <leafValues>
-            -1.3995659351348877e-01 1.4235240221023560e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 403 -4.5266721397638321e-02</internalNodes>
-          <leafValues>
-            -1.5958879888057709e-01 1.3019920326769352e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 404 -1.2739590369164944e-02</internalNodes>
-          <leafValues>
-            -4.1836729645729065e-01 4.6371258795261383e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 405 4.7306739725172520e-03</internalNodes>
-          <leafValues>
-            -1.4719159901142120e-01 1.2549529969692230e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 406 -6.8478072062134743e-03</internalNodes>
-          <leafValues>
-            -2.8655201196670532e-01 6.4936019480228424e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 407 -1.4478339813649654e-02</internalNodes>
-          <leafValues>
-            -5.5746442079544067e-01 3.1902320683002472e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 408 2.5321850553154945e-02</internalNodes>
-          <leafValues>
-            -5.1969718188047409e-02 4.0317040681838989e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 409 1.4498929958790541e-03</internalNodes>
-          <leafValues>
-            -7.1278862655162811e-02 2.0445279777050018e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 410 9.1836787760257721e-05</internalNodes>
-          <leafValues>
-            -1.3836619257926941e-01 1.3376340270042419e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 411 8.9083143393509090e-05</internalNodes>
-          <leafValues>
-            -7.5781263411045074e-02 1.0304410010576248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 412 -8.0758632975630462e-05</internalNodes>
-          <leafValues>
-            1.6445839405059814e-01 -1.1202610284090042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 413 8.9285433292388916e-02</internalNodes>
-          <leafValues>
-            3.0930649489164352e-02 -5.7430011034011841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 414 1.5883229672908783e-02</internalNodes>
-          <leafValues>
-            -4.3224731087684631e-01 3.4075301140546799e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 415 -1.4171909540891647e-02</internalNodes>
-          <leafValues>
-            2.0276209712028503e-01 -7.9184897243976593e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 416 3.5720940679311752e-02</internalNodes>
-          <leafValues>
-            -9.0391501784324646e-02 2.1999590098857880e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 417 5.3087039850652218e-03</internalNodes>
-          <leafValues>
-            2.1282069385051727e-02 -5.3097438812255859e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 418 1.0967809706926346e-02</internalNodes>
-          <leafValues>
-            3.4793078899383545e-02 -4.3127518892288208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 419 3.3630009740591049e-02</internalNodes>
-          <leafValues>
-            -6.4378000795841217e-02 2.2569869458675385e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 420 1.1750670149922371e-02</internalNodes>
-          <leafValues>
-            3.3364009112119675e-02 -4.9996230006217957e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 421 -1.4994719531387091e-03</internalNodes>
-          <leafValues>
-            2.1139480173587799e-01 -7.8302331268787384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 422 -1.8384349346160889e-01</internalNodes>
-          <leafValues>
-            2.9695770144462585e-01 -5.3062479943037033e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 423 -2.6374959945678711e-01</internalNodes>
-          <leafValues>
-            2.0995129644870758e-01 -7.6504513621330261e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 424 -4.7229680418968201e-01</internalNodes>
-          <leafValues>
-            -6.0007989406585693e-01 2.5197599083185196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 425 4.8492550849914551e-02</internalNodes>
-          <leafValues>
-            -3.1335938721895218e-02 2.7855190634727478e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 426 -3.4002509713172913e-01</internalNodes>
-          <leafValues>
-            2.3851110041141510e-01 -6.6435709595680237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 427 -1.1414799839258194e-02</internalNodes>
-          <leafValues>
-            -2.5477099418640137e-01 6.8611912429332733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 428 2.1057009696960449e-02</internalNodes>
-          <leafValues>
-            -4.4789239764213562e-02 3.5822269320487976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 429 -1.3073880109004676e-04</internalNodes>
-          <leafValues>
-            1.0799950361251831e-01 -1.4292159676551819e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 430 -1.6146369278430939e-02</internalNodes>
-          <leafValues>
-            -4.4975531101226807e-01 3.1903188675642014e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 431 2.6404859498143196e-02</internalNodes>
-          <leafValues>
-            3.0780889093875885e-02 -2.3807209730148315e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 432 -1.4983680099248886e-02</internalNodes>
-          <leafValues>
-            -3.1624558568000793e-01 5.2957501262426376e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 433 -6.6260308958590031e-03</internalNodes>
-          <leafValues>
-            9.4783961772918701e-02 -3.7947028875350952e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 434 9.4577856361865997e-03</internalNodes>
-          <leafValues>
-            -6.3235759735107422e-02 2.7814188599586487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 435 2.8465919196605682e-02</internalNodes>
-          <leafValues>
-            -4.0209379047155380e-02 2.9379189014434814e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 436 3.2882608473300934e-02</internalNodes>
-          <leafValues>
-            -4.1350640356540680e-02 3.3133140206336975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 437 -8.3604697138071060e-03</internalNodes>
-          <leafValues>
-            -4.0812259912490845e-01 3.3069811761379242e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 438 -3.0450399965047836e-02</internalNodes>
-          <leafValues>
-            2.1827210485935211e-01 -7.1721799671649933e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 439 -5.8005149476230145e-03</internalNodes>
-          <leafValues>
-            -2.9562330245971680e-01 3.7087250500917435e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 440 4.8168208450078964e-03</internalNodes>
-          <leafValues>
-            3.2777469605207443e-02 -4.2083171010017395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 441 1.5842430293560028e-03</internalNodes>
-          <leafValues>
-            -6.9716259837150574e-02 1.9365569949150085e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 442 8.4104435518383980e-03</internalNodes>
-          <leafValues>
-            2.9692530632019043e-02 -5.0313138961791992e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 443 -1.0347180068492889e-04</internalNodes>
-          <leafValues>
-            9.8363690078258514e-02 -8.6907006800174713e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 444 8.2377959042787552e-03</internalNodes>
-          <leafValues>
-            3.6999549716711044e-02 -3.8527131080627441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 445 1.1734689906006679e-04</internalNodes>
-          <leafValues>
-            -6.5492406487464905e-02 6.2266398221254349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 446 -9.8627153784036636e-04</internalNodes>
-          <leafValues>
-            1.8917119503021240e-01 -8.0425269901752472e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 447 -8.6078172898851335e-05</internalNodes>
-          <leafValues>
-            8.2447282969951630e-02 -9.5376200973987579e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 448 5.6891320273280144e-03</internalNodes>
-          <leafValues>
-            3.3346530050039291e-02 -4.0205308794975281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 449 1.0112339805345982e-04</internalNodes>
-          <leafValues>
-            -1.0284639894962311e-01 1.1317410320043564e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 450 -1.5918860211968422e-02</internalNodes>
-          <leafValues>
-            1.3964639604091644e-01 -1.0537520051002502e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 451 -1.0231309715891257e-04</internalNodes>
-          <leafValues>
-            1.1990199983119965e-01 -2.0759420096874237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 452 -9.1397319920361042e-04</internalNodes>
-          <leafValues>
-            1.6179299354553223e-01 -7.5580276548862457e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 453 6.6993040964007378e-03</internalNodes>
-          <leafValues>
-            2.5001080706715584e-02 -1.6416229307651520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 454 1.2699300423264503e-02</internalNodes>
-          <leafValues>
-            2.2695040330290794e-02 -5.2739512920379639e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 455 -1.3283169828355312e-02</internalNodes>
-          <leafValues>
-            -4.1160929203033447e-01 2.7053929865360260e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 456 1.0245139710605145e-03</internalNodes>
-          <leafValues>
-            -8.0925337970256805e-02 1.6091230511665344e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 457 8.1607067841105163e-05</internalNodes>
-          <leafValues>
-            -6.5392106771469116e-02 9.4981692731380463e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 458 -2.1534129045903683e-03</internalNodes>
-          <leafValues>
-            2.3994359374046326e-01 -6.9839999079704285e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 459 -2.9751509428024292e-02</internalNodes>
-          <leafValues>
-            -6.1123019456863403e-01 1.7478989437222481e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 460 -1.3032819330692291e-01</internalNodes>
-          <leafValues>
-            -2.5296679139137268e-01 4.5886538922786713e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 461 -3.8392931222915649e-02</internalNodes>
-          <leafValues>
-            1.5026639401912689e-01 -8.3300203084945679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 462 -2.0637670531868935e-02</internalNodes>
-          <leafValues>
-            -4.7749769687652588e-01 2.7316639199852943e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 463 -9.2679895460605621e-03</internalNodes>
-          <leafValues>
-            1.4952409267425537e-01 -5.3084261715412140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 464 1.2076119892299175e-02</internalNodes>
-          <leafValues>
-            -7.3878012597560883e-02 1.7311289906501770e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 465 1.4252300374209881e-02</internalNodes>
-          <leafValues>
-            1.0700870305299759e-02 -4.8483529686927795e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 466 7.9848906025290489e-03</internalNodes>
-          <leafValues>
-            3.1557928770780563e-02 -3.9823979139328003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 467 -7.6416457886807621e-05</internalNodes>
-          <leafValues>
-            9.5197781920433044e-02 -6.6096171736717224e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 468 9.6317751740571111e-05</internalNodes>
-          <leafValues>
-            -1.0664629936218262e-01 1.2682129442691803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 469 3.1491980189457536e-04</internalNodes>
-          <leafValues>
-            -5.2514318376779556e-02 2.4523379281163216e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 470 5.1320712082087994e-03</internalNodes>
-          <leafValues>
-            -9.4310060143470764e-02 1.1926410347223282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 471 -7.8906886279582977e-02</internalNodes>
-          <leafValues>
-            1.8964789807796478e-01 -6.1664801090955734e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 472 -1.4321829658001661e-03</internalNodes>
-          <leafValues>
-            1.4567589759826660e-01 -7.5513087213039398e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 473 -4.5103628188371658e-02</internalNodes>
-          <leafValues>
-            -4.8482489585876465e-01 8.3793140947818756e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 474 3.9267681131605059e-05</internalNodes>
-          <leafValues>
-            -9.8394133150577545e-02 1.1265549808740616e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 475 -1.7501650378108025e-02</internalNodes>
-          <leafValues>
-            -4.4661688804626465e-01 5.6442890316247940e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 476 2.5849869474768639e-02</internalNodes>
-          <leafValues>
-            2.2946629673242569e-02 -4.1963219642639160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 477 -5.6344410404562950e-03</internalNodes>
-          <leafValues>
-            3.7022929638624191e-02 -9.1434329748153687e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 478 -1.6525749862194061e-01</internalNodes>
-          <leafValues>
-            -3.2120141386985779e-01 3.3446568995714188e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 479 -7.4969837442040443e-05</internalNodes>
-          <leafValues>
-            1.0247570276260376e-01 -1.3333749771118164e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 480 -1.6051430255174637e-02</internalNodes>
-          <leafValues>
-            -2.6871579885482788e-01 3.8832820951938629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 481 4.8495661467313766e-02</internalNodes>
-          <leafValues>
-            -1.7611419782042503e-02 4.3210458755493164e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 482 -5.8027990162372589e-02</internalNodes>
-          <leafValues>
-            5.6749457120895386e-01 -1.8929490819573402e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 483 9.3509042635560036e-03</internalNodes>
-          <leafValues>
-            -8.1999160349369049e-02 1.2645019590854645e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 484 7.2834091261029243e-03</internalNodes>
-          <leafValues>
-            3.6080401390790939e-02 -3.0698621273040771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 485 -3.6525551229715347e-02</internalNodes>
-          <leafValues>
-            5.9447780251502991e-02 -6.5544642508029938e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 486 -2.2749549243599176e-03</internalNodes>
-          <leafValues>
-            2.0536370575428009e-01 -5.0366468727588654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 487 -4.5571658760309219e-02</internalNodes>
-          <leafValues>
-            -3.6782819032669067e-01 2.9857050627470016e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 488 7.8613593359477818e-05</internalNodes>
-          <leafValues>
-            -1.0129989683628082e-01 9.8839581012725830e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 489 7.4493337888270617e-04</internalNodes>
-          <leafValues>
-            1.0422939807176590e-01 -2.8243300318717957e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 490 6.7769076849799603e-05</internalNodes>
-          <leafValues>
-            -1.0194019973278046e-01 1.0684160143136978e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 491 1.4976429753005505e-02</internalNodes>
-          <leafValues>
-            -5.4828610271215439e-02 1.1241599917411804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 492 -1.6552510205656290e-03</internalNodes>
-          <leafValues>
-            -2.5917539000511169e-01 4.0221069008111954e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 493 -1.4255680143833160e-02</internalNodes>
-          <leafValues>
-            -3.6706781387329102e-01 1.6172470524907112e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 494 -2.0518230739980936e-03</internalNodes>
-          <leafValues>
-            1.9269070029258728e-01 -4.7873228788375854e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 495 1.3053719699382782e-01</internalNodes>
-          <leafValues>
-            6.2902332283556461e-03 -3.7563058733940125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 496 -8.3324328064918518e-02</internalNodes>
-          <leafValues>
-            -1.1892479658126831e-01 9.3024402856826782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 497 2.4922129511833191e-01</internalNodes>
-          <leafValues>
-            7.7079031616449356e-03 -7.7056437730789185e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>133</maxWeakCount>
-      <stageThreshold>-1.5156250000000000e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 498 -1.4404890127480030e-02</internalNodes>
-          <leafValues>
-            3.4178748726844788e-01 -3.0290880799293518e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 499 2.2667409479618073e-01</internalNodes>
-          <leafValues>
-            -3.3072739839553833e-01 1.6360230743885040e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 500 -4.6934150159358978e-02</internalNodes>
-          <leafValues>
-            2.7088809013366699e-01 -2.5283458828926086e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 501 -7.4530718848109245e-03</internalNodes>
-          <leafValues>
-            4.4813731312751770e-01 -6.0667719691991806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 502 -2.1492090076208115e-02</internalNodes>
-          <leafValues>
-            1.8971429765224457e-01 -2.2000360488891602e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 503 -5.7815029285848141e-03</internalNodes>
-          <leafValues>
-            8.8426098227500916e-02 -3.0627530068159103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 504 3.9674431085586548e-02</internalNodes>
-          <leafValues>
-            -5.4195029661059380e-03 -1.4207619628906250e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 505 1.3627589680254459e-02</internalNodes>
-          <leafValues>
-            -9.1195777058601379e-02 4.8344880342483521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 506 -6.5549151040613651e-03</internalNodes>
-          <leafValues>
-            3.4027290344238281e-01 -1.1481580138206482e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 507 5.1418822258710861e-03</internalNodes>
-          <leafValues>
-            -2.1465690433979034e-01 1.5631480515003204e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 508 -7.1714469231665134e-03</internalNodes>
-          <leafValues>
-            2.8908538818359375e-01 -1.1485029757022858e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 509 -5.5360728874802589e-03</internalNodes>
-          <leafValues>
-            2.1668159961700439e-01 -8.3817251026630402e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 510 2.2245529294013977e-01</internalNodes>
-          <leafValues>
-            -6.5196859650313854e-03 -4.8679741210937500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 511 1.1557079851627350e-02</internalNodes>
-          <leafValues>
-            -4.5459240674972534e-02 3.0394679307937622e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 512 -2.4631500244140625e-01</internalNodes>
-          <leafValues>
-            -5.1887249946594238e-01 5.1175419241189957e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 513 -1.7819709610193968e-03</internalNodes>
-          <leafValues>
-            3.4486059099435806e-02 -3.9163861423730850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 514 -8.7224133312702179e-03</internalNodes>
-          <leafValues>
-            3.2543098926544189e-01 -7.6574653387069702e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 515 -3.5658270120620728e-02</internalNodes>
-          <leafValues>
-            -5.9835660457611084e-01 3.8316339254379272e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 516 -2.8903679922223091e-02</internalNodes>
-          <leafValues>
-            -6.3530182838439941e-01 2.4730689823627472e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 517 -1.1647170037031174e-01</internalNodes>
-          <leafValues>
-            1.8075680732727051e-01 -1.6352340579032898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 518 2.5810129940509796e-02</internalNodes>
-          <leafValues>
-            -1.0886339843273163e-01 2.3793080449104309e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 519 -7.3603908531367779e-03</internalNodes>
-          <leafValues>
-            1.9048359990119934e-01 -8.0013617873191833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 520 1.0619719978421926e-04</internalNodes>
-          <leafValues>
-            -2.4556909501552582e-01 9.5219768583774567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 521 -1.9719420000910759e-02</internalNodes>
-          <leafValues>
-            -4.7572961449623108e-01 3.7367928773164749e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 522 -7.4374658288434148e-04</internalNodes>
-          <leafValues>
-            9.1585151851177216e-02 -2.5668498873710632e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 523 9.8219022154808044e-02</internalNodes>
-          <leafValues>
-            -7.0228829979896545e-02 3.3574399352073669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 524 5.3615029901266098e-03</internalNodes>
-          <leafValues>
-            3.1214090064167976e-02 -6.7753881216049194e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 525 -1.4868759550154209e-02</internalNodes>
-          <leafValues>
-            -5.8096957206726074e-01 4.2814828455448151e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 526 -9.6412852406501770e-02</internalNodes>
-          <leafValues>
-            1.3004289567470551e-01 -1.2678889930248260e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 527 3.7894989363849163e-03</internalNodes>
-          <leafValues>
-            -6.5598629415035248e-02 1.5579770505428314e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 528 -3.4858610015362501e-03</internalNodes>
-          <leafValues>
-            2.1834029257297516e-01 -1.2221299856901169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 529 3.3498299121856689e-01</internalNodes>
-          <leafValues>
-            -2.4588150903582573e-02 1.7631460726261139e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 530 -2.5738729164004326e-02</internalNodes>
-          <leafValues>
-            1.4332139492034912e-01 -1.1177980154752731e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 531 3.8507148623466492e-01</internalNodes>
-          <leafValues>
-            1.4525639824569225e-02 -3.6296150088310242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 532 -2.8105419129133224e-02</internalNodes>
-          <leafValues>
-            -3.4287661314010620e-01 4.9306400120258331e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 533 -1.8473409116268158e-02</internalNodes>
-          <leafValues>
-            -5.8932191133499146e-01 2.3863330483436584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 534 -1.3536689803004265e-02</internalNodes>
-          <leafValues>
-            -4.2912280559539795e-01 3.1943909823894501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 535 -2.3122949525713921e-02</internalNodes>
-          <leafValues>
-            2.0142209529876709e-01 -5.0353039056062698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 536 2.1139409393072128e-02</internalNodes>
-          <leafValues>
-            -6.3899256289005280e-02 2.6525649428367615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 537 9.0067520737648010e-02</internalNodes>
-          <leafValues>
-            1.1227900162339211e-02 -1.0319119691848755e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 538 1.0382729582488537e-02</internalNodes>
-          <leafValues>
-            3.5720501095056534e-02 -4.9541878700256348e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 539 1.4825740363448858e-03</internalNodes>
-          <leafValues>
-            -2.4888260290026665e-02 2.3713339120149612e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 540 1.2378430366516113e-01</internalNodes>
-          <leafValues>
-            3.2288201153278351e-02 -5.3732192516326904e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 541 -1.6116470098495483e-02</internalNodes>
-          <leafValues>
-            -4.8570340871810913e-01 2.7461700141429901e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 542 1.5906639397144318e-02</internalNodes>
-          <leafValues>
-            2.9240200296044350e-02 -4.5423740148544312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 543 -9.1634020209312439e-03</internalNodes>
-          <leafValues>
-            1.0625120252370834e-01 -1.0080440342426300e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 544 -1.9347349181771278e-02</internalNodes>
-          <leafValues>
-            2.1739059686660767e-01 -6.9000512361526489e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 545 -1.0325609706342220e-02</internalNodes>
-          <leafValues>
-            -4.0617129206657410e-01 2.8300719335675240e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 546 -4.4596269726753235e-03</internalNodes>
-          <leafValues>
-            1.3881349563598633e-01 -1.0167139768600464e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 547 -1.3331240043044090e-02</internalNodes>
-          <leafValues>
-            1.1168389767408371e-01 -5.7018160820007324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 548 1.4038089662790298e-02</internalNodes>
-          <leafValues>
-            -6.5833032131195068e-02 2.8126591444015503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 549 8.6190225556492805e-03</internalNodes>
-          <leafValues>
-            3.1586680561304092e-02 -2.8932869434356689e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 550 2.9386770725250244e-01</internalNodes>
-          <leafValues>
-            -4.6890590339899063e-02 3.0614718794822693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 551 -1.4868940226733685e-02</internalNodes>
-          <leafValues>
-            1.7502120137214661e-01 -1.0025910101830959e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 552 -4.3284989893436432e-02</internalNodes>
-          <leafValues>
-            1.7161160707473755e-01 -9.6792109310626984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 553 1.2888509780168533e-02</internalNodes>
-          <leafValues>
-            -2.2928550839424133e-02 2.4185520410537720e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 554 -3.4358419943600893e-03</internalNodes>
-          <leafValues>
-            1.3518199324607849e-01 -1.0388469696044922e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 555 -3.4035958349704742e-02</internalNodes>
-          <leafValues>
-            2.5674760341644287e-01 -5.2028700709342957e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 556 5.0311200320720673e-03</internalNodes>
-          <leafValues>
-            -8.4477551281452179e-02 1.6237409412860870e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 557 -1.2706579582300037e-04</internalNodes>
-          <leafValues>
-            1.0559009760618210e-01 -2.1253530681133270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 558 1.1165560223162174e-02</internalNodes>
-          <leafValues>
-            2.6308910921216011e-02 -4.8655390739440918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 559 -5.2559740841388702e-02</internalNodes>
-          <leafValues>
-            1.0851469635963440e-01 -1.1396080255508423e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 560 -9.1416407376527786e-03</internalNodes>
-          <leafValues>
-            -4.0663948655128479e-01 3.4957569092512131e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 561 -1.1083520203828812e-01</internalNodes>
-          <leafValues>
-            4.1294351220130920e-01 -3.3939100801944733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 562 -5.7494291104376316e-03</internalNodes>
-          <leafValues>
-            1.0465209931135178e-01 -1.1080049723386765e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 563 -3.3833560347557068e-01</internalNodes>
-          <leafValues>
-            -4.2555201053619385e-01 2.9249390587210655e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 564 -9.9934339523315430e-03</internalNodes>
-          <leafValues>
-            -5.3766322135925293e-01 1.9428819417953491e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 565 -4.4573689810931683e-03</internalNodes>
-          <leafValues>
-            1.8140719830989838e-01 -6.1098061501979828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 566 1.1739180423319340e-02</internalNodes>
-          <leafValues>
-            2.7691790834069252e-02 -4.1605970263481140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 567 -2.0730029791593552e-03</internalNodes>
-          <leafValues>
-            2.1511830389499664e-01 -4.4588111340999603e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 568 4.3844608590006828e-03</internalNodes>
-          <leafValues>
-            3.0381720513105392e-02 -3.9061251282691956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 569 8.9646214619278908e-03</internalNodes>
-          <leafValues>
-            3.2070860266685486e-02 -3.7139549851417542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 570 4.3689231388270855e-03</internalNodes>
-          <leafValues>
-            -6.2611937522888184e-02 1.8630330264568329e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 571 -2.2206110879778862e-02</internalNodes>
-          <leafValues>
-            -2.5213471055030823e-01 1.7384979873895645e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 572 2.6817120611667633e-02</internalNodes>
-          <leafValues>
-            1.8778100609779358e-02 -6.3347727060317993e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 573 1.0099010250996798e-04</internalNodes>
-          <leafValues>
-            -8.9882403612136841e-02 9.2971943318843842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 574 -3.7158210761845112e-03</internalNodes>
-          <leafValues>
-            -4.4987940788269043e-01 2.5029459968209267e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 575 -2.7535969857126474e-03</internalNodes>
-          <leafValues>
-            2.6070469617843628e-01 -7.0969417691230774e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 576 -2.1922899410128593e-02</internalNodes>
-          <leafValues>
-            -5.0777751207351685e-01 2.5180419906973839e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 577 -7.0883962325751781e-04</internalNodes>
-          <leafValues>
-            -3.4276500344276428e-01 8.2241162657737732e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 578 -1.6273240325972438e-03</internalNodes>
-          <leafValues>
-            1.9682820141315460e-01 -6.2403131276369095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 579 1.4539799885824323e-03</internalNodes>
-          <leafValues>
-            5.2250798791646957e-02 -2.9100200533866882e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 580 1.2582080671563745e-04</internalNodes>
-          <leafValues>
-            -1.1654359847307205e-01 1.1046759784221649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 581 8.3695871580857784e-05</internalNodes>
-          <leafValues>
-            -5.2289471030235291e-02 6.1870351433753967e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 582 -1.1398050264688209e-04</internalNodes>
-          <leafValues>
-            1.5396890044212341e-01 -8.9202009141445160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 583 1.5188050456345081e-03</internalNodes>
-          <leafValues>
-            -6.1207320541143417e-02 1.2907339632511139e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 584 1.5405760146677494e-02</internalNodes>
-          <leafValues>
-            2.5000110268592834e-02 -4.4077640771865845e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 585 -1.1019539670087397e-04</internalNodes>
-          <leafValues>
-            1.0112199932336807e-01 -6.7201070487499237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 586 -1.9675830379128456e-02</internalNodes>
-          <leafValues>
-            -6.5486162900924683e-01 1.6996009275317192e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 587 -9.9909037817269564e-04</internalNodes>
-          <leafValues>
-            1.0255189985036850e-01 -5.9289220720529556e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 588 1.2456219701562077e-04</internalNodes>
-          <leafValues>
-            -1.1078929901123047e-01 1.0348449647426605e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 589 1.2445759784895927e-04</internalNodes>
-          <leafValues>
-            -9.5743909478187561e-02 8.3002902567386627e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 590 -1.9823738839477301e-03</internalNodes>
-          <leafValues>
-            2.1431520581245422e-01 -5.5398739874362946e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 591 1.9654269516468048e-01</internalNodes>
-          <leafValues>
-            3.1826499849557877e-02 -2.1685199439525604e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 592 3.5871278960257769e-03</internalNodes>
-          <leafValues>
-            -7.4322208762168884e-02 1.4974950253963470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 593 1.0668500326573849e-02</internalNodes>
-          <leafValues>
-            1.3024830259382725e-02 -3.1633579730987549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 594 -1.5692969784140587e-02</internalNodes>
-          <leafValues>
-            1.8123820424079895e-01 -6.1613950878381729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 595 2.0100619643926620e-02</internalNodes>
-          <leafValues>
-            4.4974848628044128e-02 -4.3339860439300537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 596 -9.3011429999023676e-04</internalNodes>
-          <leafValues>
-            1.4157989621162415e-01 -7.2623051702976227e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 597 1.2854380474891514e-04</internalNodes>
-          <leafValues>
-            -5.1621709018945694e-02 4.8192240297794342e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 598 -1.0598390363156796e-02</internalNodes>
-          <leafValues>
-            -5.1592952013015747e-01 1.9994650036096573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 599 -3.3873081207275391e-02</internalNodes>
-          <leafValues>
-            -3.1708028912544250e-01 1.4665069989860058e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 600 2.1664079278707504e-02</internalNodes>
-          <leafValues>
-            2.8066530823707581e-02 -3.4886899590492249e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 601 -1.6297819092869759e-02</internalNodes>
-          <leafValues>
-            9.3040592968463898e-02 -3.0490709468722343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 602 -7.2641119360923767e-02</internalNodes>
-          <leafValues>
-            -4.7985389828681946e-01 2.1925760433077812e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 603 5.9341657906770706e-03</internalNodes>
-          <leafValues>
-            -6.3595272600650787e-02 1.6068579256534576e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 604 -1.2448200024664402e-02</internalNodes>
-          <leafValues>
-            -4.3582621216773987e-01 2.2979419678449631e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 605 -1.4221160381566733e-04</internalNodes>
-          <leafValues>
-            6.3076533377170563e-02 -5.0078488886356354e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 606 1.4810540014877915e-03</internalNodes>
-          <leafValues>
-            -5.7667218148708344e-02 1.8284930288791656e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 607 1.1081660341005772e-04</internalNodes>
-          <leafValues>
-            -4.7888830304145813e-02 6.6992476582527161e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 608 1.5491439960896969e-02</internalNodes>
-          <leafValues>
-            2.0301489159464836e-02 -4.8583671450614929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 609 8.7960972450673580e-05</internalNodes>
-          <leafValues>
-            -7.7099032700061798e-02 8.2995250821113586e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 610 -8.1268692156299949e-04</internalNodes>
-          <leafValues>
-            1.4406390488147736e-01 -7.3275357484817505e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 611 2.4501960724592209e-02</internalNodes>
-          <leafValues>
-            1.9293539226055145e-02 -2.7041348814964294e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 612 1.5673150122165680e-01</internalNodes>
-          <leafValues>
-            2.5848250836133957e-02 -4.0575191378593445e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 613 -1.0019519925117493e-01</internalNodes>
-          <leafValues>
-            -1.7280450463294983e-01 2.8971340507268906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 614 1.6180109977722168e-01</internalNodes>
-          <leafValues>
-            1.9680919125676155e-02 -5.0539332628250122e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 615 -3.7529520690441132e-02</internalNodes>
-          <leafValues>
-            -3.0859738588333130e-01 2.8489660471677780e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 616 -1.2014319747686386e-01</internalNodes>
-          <leafValues>
-            -3.2182079553604126e-01 2.8841979801654816e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 617 -1.3690150342881680e-02</internalNodes>
-          <leafValues>
-            -1.2315540015697479e-01 3.3444989472627640e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 618 -9.2323787510395050e-02</internalNodes>
-          <leafValues>
-            -4.9614500999450684e-01 1.8543859943747520e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 619 5.1788990385830402e-03</internalNodes>
-          <leafValues>
-            2.0374979823827744e-02 -1.4786289632320404e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 620 6.2319580465555191e-03</internalNodes>
-          <leafValues>
-            -7.4262887239456177e-02 1.2185510247945786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 621 -7.8213810920715332e-03</internalNodes>
-          <leafValues>
-            1.7759530246257782e-01 -5.1386699080467224e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 622 -2.9573980718851089e-02</internalNodes>
-          <leafValues>
-            -5.0756359100341797e-01 1.9399100914597511e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 623 -2.0324679091572762e-02</internalNodes>
-          <leafValues>
-            1.2613779306411743e-01 -5.3594090044498444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 624 -1.2350369989871979e-01</internalNodes>
-          <leafValues>
-            1.1639419943094254e-01 -8.7905816733837128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 625 1.0089900344610214e-01</internalNodes>
-          <leafValues>
-            -3.7132319994270802e-03 6.7068278789520264e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 626 -3.3012818545103073e-02</internalNodes>
-          <leafValues>
-            3.0562469363212585e-01 -3.8450431078672409e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 627 -9.6318349242210388e-02</internalNodes>
-          <leafValues>
-            9.8391599953174591e-02 -1.0821569710969925e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 628 2.5214108824729919e-01</internalNodes>
-          <leafValues>
-            -2.1154910326004028e-02 4.7930648922920227e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 629 -1.8898699432611465e-02</internalNodes>
-          <leafValues>
-            9.6985623240470886e-02 -5.0776910036802292e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 630 1.9470909610390663e-02</internalNodes>
-          <leafValues>
-            -6.6984340548515320e-02 1.8598070740699768e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>129</maxWeakCount>
-      <stageThreshold>-1.5292299985885620e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 631 -5.1301288604736328e-01</internalNodes>
-          <leafValues>
-            3.3763039112091064e-01 -2.2183430194854736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 632 7.8631602227687836e-03</internalNodes>
-          <leafValues>
-            -3.0860590934753418e-01 1.5021920204162598e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 633 -2.0650109276175499e-02</internalNodes>
-          <leafValues>
-            2.4393220245838165e-01 -2.7323541045188904e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 634 3.9594681002199650e-03</internalNodes>
-          <leafValues>
-            -1.5568819642066956e-01 1.0008449852466583e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 635 4.6596791595220566e-02</internalNodes>
-          <leafValues>
-            1.2480390258133411e-02 -1.1247110595703125e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 636 1.0768139734864235e-02</internalNodes>
-          <leafValues>
-            -7.4103012681007385e-02 1.0300619900226593e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 637 8.1597883254289627e-03</internalNodes>
-          <leafValues>
-            -2.4266499280929565e-01 1.9986270368099213e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 638 -6.2675480730831623e-03</internalNodes>
-          <leafValues>
-            1.4820539951324463e-01 -2.9992321133613586e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 639 5.9478268958628178e-03</internalNodes>
-          <leafValues>
-            -2.5873249769210815e-01 1.5703390538692474e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 640 1.0514389723539352e-02</internalNodes>
-          <leafValues>
-            -1.6781389713287354e-01 2.4174839258193970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 641 1.2243539839982986e-01</internalNodes>
-          <leafValues>
-            -1.0682729631662369e-01 3.4612360596656799e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 642 -1.2968529760837555e-01</internalNodes>
-          <leafValues>
-            1.7437599599361420e-01 -9.9371053278446198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 643 1.0830949759110808e-04</internalNodes>
-          <leafValues>
-            -2.4865290522575378e-01 1.1169169843196869e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 644 -3.2252158969640732e-02</internalNodes>
-          <leafValues>
-            4.9016430974006653e-01 -4.2964339256286621e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 645 -2.5078749284148216e-02</internalNodes>
-          <leafValues>
-            3.1889361143112183e-01 -7.7969953417778015e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 646 4.5832060277462006e-02</internalNodes>
-          <leafValues>
-            -1.3419570028781891e-01 1.7994479835033417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 647 8.3064418286085129e-03</internalNodes>
-          <leafValues>
-            4.0255438536405563e-02 -4.5553040504455566e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 648 4.2619768530130386e-02</internalNodes>
-          <leafValues>
-            -2.5493569672107697e-02 1.3568879663944244e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 649 9.1548979980871081e-05</internalNodes>
-          <leafValues>
-            -1.4997710287570953e-01 1.4062370359897614e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 650 3.5599898546934128e-02</internalNodes>
-          <leafValues>
-            -1.0049650073051453e-01 2.1603369712829590e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 651 -1.6404399648308754e-02</internalNodes>
-          <leafValues>
-            -5.2405780553817749e-01 3.6675389856100082e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 652 2.1164799109101295e-02</internalNodes>
-          <leafValues>
-            -3.7107881158590317e-02 1.4676739275455475e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 653 -3.9462938904762268e-02</internalNodes>
-          <leafValues>
-            2.6762869954109192e-01 -7.5594186782836914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 654 -1.7847089096903801e-02</internalNodes>
-          <leafValues>
-            2.7940970659255981e-01 -1.5671769157052040e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 655 3.4505259245634079e-03</internalNodes>
-          <leafValues>
-            -1.2894910573959351e-01 1.6325439512729645e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 656 4.5687720179557800e-02</internalNodes>
-          <leafValues>
-            -2.0606290549039841e-02 2.2645039856433868e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 657 2.1002419292926788e-02</internalNodes>
-          <leafValues>
-            -6.2005609273910522e-02 3.2014068961143494e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 658 -3.5569739993661642e-03</internalNodes>
-          <leafValues>
-            1.2843169271945953e-01 -8.8760308921337128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 659 -3.3646691590547562e-02</internalNodes>
-          <leafValues>
-            -6.8887227773666382e-01 3.4305639564990997e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 660 1.3083280064165592e-02</internalNodes>
-          <leafValues>
-            4.2031999677419662e-02 -5.2689850330352783e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 661 1.6660310328006744e-02</internalNodes>
-          <leafValues>
-            3.0601609498262405e-02 -5.3826010227203369e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 662 -2.0924070850014687e-02</internalNodes>
-          <leafValues>
-            1.4591710269451141e-01 -1.2979130446910858e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 663 -6.1694860458374023e-02</internalNodes>
-          <leafValues>
-            4.4396570324897766e-01 -3.8369540125131607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 664 -1.1972390115261078e-02</internalNodes>
-          <leafValues>
-            -5.6048041582107544e-01 2.3270620033144951e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 665 1.7969259992241859e-02</internalNodes>
-          <leafValues>
-            2.5026360526680946e-02 -5.7432591915130615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 666 1.5994659624993801e-03</internalNodes>
-          <leafValues>
-            -1.2418950349092484e-01 5.0742890685796738e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 667 1.1695439927279949e-02</internalNodes>
-          <leafValues>
-            -7.6160527765750885e-02 2.0521469414234161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 668 -1.8982479814440012e-03</internalNodes>
-          <leafValues>
-            8.0279447138309479e-02 -5.7309560477733612e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 669 -1.4634410035796463e-04</internalNodes>
-          <leafValues>
-            1.3708490133285522e-01 -1.2562429904937744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 670 7.8092161566019058e-03</internalNodes>
-          <leafValues>
-            7.9615786671638489e-02 -3.4894898533821106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 671 -1.0443309694528580e-01</internalNodes>
-          <leafValues>
-            2.3222529888153076e-01 -6.3237018883228302e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 672 -2.1482400596141815e-02</internalNodes>
-          <leafValues>
-            1.7266969382762909e-01 -5.5806308984756470e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 673 -1.0828889906406403e-02</internalNodes>
-          <leafValues>
-            1.2797969579696655e-01 -1.1637309938669205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 674 -4.2471490800380707e-02</internalNodes>
-          <leafValues>
-            -6.1273592710494995e-01 2.4606749415397644e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 675 -3.9633461274206638e-03</internalNodes>
-          <leafValues>
-            1.8390260636806488e-01 -8.8654592633247375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 676 3.5160180181264877e-02</internalNodes>
-          <leafValues>
-            -4.3068870902061462e-02 9.6340909600257874e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 677 3.4553930163383484e-03</internalNodes>
-          <leafValues>
-            -6.2918446958065033e-02 2.4171499907970428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 678 -1.7584810033440590e-02</internalNodes>
-          <leafValues>
-            -6.1676180362701416e-01 1.7409879714250565e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 679 -4.4287440180778503e-01</internalNodes>
-          <leafValues>
-            3.0737930536270142e-01 -4.9208190292119980e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 680 1.1836509656859562e-04</internalNodes>
-          <leafValues>
-            -5.3511910140514374e-02 8.2968451082706451e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 681 1.2763170525431633e-04</internalNodes>
-          <leafValues>
-            -1.0692539811134338e-01 1.5963360667228699e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 682 1.4990289928391576e-03</internalNodes>
-          <leafValues>
-            -1.0284440219402313e-01 5.9363570064306259e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 683 -1.4185680076479912e-02</internalNodes>
-          <leafValues>
-            1.6787010431289673e-01 -8.2064323127269745e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 684 2.6423510164022446e-02</internalNodes>
-          <leafValues>
-            1.5141439624130726e-02 -2.1549950540065765e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 685 1.2152690032962710e-04</internalNodes>
-          <leafValues>
-            -2.1429139375686646e-01 6.7536190152168274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 686 -4.4034000486135483e-02</internalNodes>
-          <leafValues>
-            -3.8516381382942200e-01 2.7985649183392525e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 687 2.3079359903931618e-02</internalNodes>
-          <leafValues>
-            3.9007559418678284e-02 -3.5704460740089417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 688 -1.6983019188046455e-02</internalNodes>
-          <leafValues>
-            6.1767920851707458e-02 -6.1761811375617981e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 689 -3.9452780038118362e-02</internalNodes>
-          <leafValues>
-            -5.4356932640075684e-01 2.4140410125255585e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 690 4.0568120777606964e-02</internalNodes>
-          <leafValues>
-            -2.8023310005664825e-02 3.5063418745994568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 691 -5.1757961511611938e-02</internalNodes>
-          <leafValues>
-            3.3024019002914429e-01 -4.0171168744564056e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 692 4.5709200203418732e-02</internalNodes>
-          <leafValues>
-            7.3070619255304337e-03 -5.9012347459793091e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 693 -1.5325520187616348e-02</internalNodes>
-          <leafValues>
-            -4.6291810274124146e-01 2.6863809674978256e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 694 -3.0978990718722343e-02</internalNodes>
-          <leafValues>
-            -1.9480030238628387e-01 7.2842082008719444e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 695 -8.9987199753522873e-03</internalNodes>
-          <leafValues>
-            -3.5020849108695984e-01 3.4169800579547882e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 696 -2.3777019232511520e-02</internalNodes>
-          <leafValues>
-            1.4519110321998596e-01 -9.0197078883647919e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 697 2.7441870421171188e-02</internalNodes>
-          <leafValues>
-            -5.9784799814224243e-02 2.1248030662536621e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 698 -1.6080979257822037e-02</internalNodes>
-          <leafValues>
-            1.2772220373153687e-01 -1.1560890078544617e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 699 -1.8815989606082439e-03</internalNodes>
-          <leafValues>
-            1.8263660371303558e-01 -6.9723732769489288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 700 -2.0570179447531700e-02</internalNodes>
-          <leafValues>
-            1.3511329889297485e-01 -5.6678831577301025e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 701 2.1246779710054398e-02</internalNodes>
-          <leafValues>
-            2.7247950434684753e-02 -4.5481869578361511e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 702 -1.8843259662389755e-02</internalNodes>
-          <leafValues>
-            2.0364369451999664e-01 -3.9924360811710358e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 703 -3.1697001308202744e-02</internalNodes>
-          <leafValues>
-            1.4882990717887878e-01 -7.5314097106456757e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 704 -3.9388950914144516e-02</internalNodes>
-          <leafValues>
-            -4.0445148944854736e-01 3.7166859954595566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 705 1.6863539814949036e-02</internalNodes>
-          <leafValues>
-            3.7964358925819397e-02 -2.9315468668937683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 706 -5.8874640613794327e-02</internalNodes>
-          <leafValues>
-            2.9816859960556030e-01 -3.0451029539108276e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 707 -1.0891259647905827e-02</internalNodes>
-          <leafValues>
-            -4.0626329183578491e-01 2.7517719194293022e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 708 -1.0890879639191553e-04</internalNodes>
-          <leafValues>
-            1.0424339771270752e-01 -9.9079273641109467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 709 -9.3655682576354593e-05</internalNodes>
-          <leafValues>
-            1.1488509923219681e-01 -1.0301840305328369e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 710 3.8378849625587463e-02</internalNodes>
-          <leafValues>
-            -6.6913731396198273e-02 1.5582619607448578e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 711 -1.3334819674491882e-01</internalNodes>
-          <leafValues>
-            1.7475730180740356e-01 -8.1824399530887604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 712 -2.3333270102739334e-02</internalNodes>
-          <leafValues>
-            -3.1016799807548523e-01 2.8489509597420692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 713 3.2015360891819000e-02</internalNodes>
-          <leafValues>
-            3.0259899795055389e-02 -3.9357221126556396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 714 4.2134500108659267e-03</internalNodes>
-          <leafValues>
-            -3.0290320515632629e-02 1.9074229896068573e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 715 1.4553000219166279e-02</internalNodes>
-          <leafValues>
-            2.1159080788493156e-02 -4.7899720072746277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 716 1.6254920046776533e-04</internalNodes>
-          <leafValues>
-            -4.1702289134263992e-02 6.6818341612815857e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 717 5.1241990178823471e-02</internalNodes>
-          <leafValues>
-            -2.5901550427079201e-02 3.8924860954284668e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 718 -1.9014719873666763e-02</internalNodes>
-          <leafValues>
-            -6.8240302801132202e-01 7.9030347988009453e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 719 -1.1731980339391157e-04</internalNodes>
-          <leafValues>
-            1.0345830023288727e-01 -9.2772170901298523e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 720 -1.2399390339851379e-02</internalNodes>
-          <leafValues>
-            -4.8494198918342590e-01 2.2405119612812996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 721 1.1162629816681147e-03</internalNodes>
-          <leafValues>
-            -6.2404781579971313e-02 1.5988099575042725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 722 -2.3414581082761288e-03</internalNodes>
-          <leafValues>
-            -5.0930368900299072e-01 5.6651391088962555e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 723 -1.1256740253884345e-04</internalNodes>
-          <leafValues>
-            1.0419259965419769e-01 -9.9077150225639343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 724 1.4960099942982197e-03</internalNodes>
-          <leafValues>
-            5.8264009654521942e-02 -3.1069689989089966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 725 1.1897009972017258e-04</internalNodes>
-          <leafValues>
-            -9.6467606723308563e-02 1.1709649860858917e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 726 -1.1693680426105857e-03</internalNodes>
-          <leafValues>
-            1.5217749774456024e-01 -7.0818759500980377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 727 7.4839929584413767e-04</internalNodes>
-          <leafValues>
-            -6.9360353052616119e-02 1.5075220167636871e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 728 -4.1113719344139099e-03</internalNodes>
-          <leafValues>
-            -2.8900811076164246e-01 1.1448180302977562e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 729 -1.4193469542078674e-04</internalNodes>
-          <leafValues>
-            1.1926650255918503e-01 -9.4971269369125366e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 730 -1.1901040124939755e-04</internalNodes>
-          <leafValues>
-            6.4288787543773651e-02 -4.7796919941902161e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 731 1.0498589836061001e-04</internalNodes>
-          <leafValues>
-            -9.6632666885852814e-02 1.1538989841938019e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 732 -8.3408653736114502e-03</internalNodes>
-          <leafValues>
-            4.4604659080505371e-02 -4.0829408913850784e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 733 8.9393332600593567e-03</internalNodes>
-          <leafValues>
-            -4.0271699428558350e-02 3.0788379907608032e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 734 -1.0168400331167504e-04</internalNodes>
-          <leafValues>
-            8.3439879119396210e-02 -2.9669430106878281e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 735 1.0159109660889953e-04</internalNodes>
-          <leafValues>
-            -1.6794000566005707e-01 6.1446961015462875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 736 -2.0380979403853416e-02</internalNodes>
-          <leafValues>
-            -4.6373328566551208e-01 1.0819310322403908e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 737 -1.4813670422881842e-03</internalNodes>
-          <leafValues>
-            1.4306089282035828e-01 -6.7024730145931244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 738 1.0961569845676422e-02</internalNodes>
-          <leafValues>
-            -1.0202170163393021e-01 5.0610020756721497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 739 2.2087350953370333e-03</internalNodes>
-          <leafValues>
-            -5.7063940912485123e-02 1.7626209557056427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 740 1.6278350725769997e-02</internalNodes>
-          <leafValues>
-            1.6349399462342262e-02 -2.6355540752410889e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 741 -4.9292189069092274e-03</internalNodes>
-          <leafValues>
-            -4.0084150433540344e-01 2.4711510166525841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 742 -1.1716609587892890e-03</internalNodes>
-          <leafValues>
-            8.4607273340225220e-02 -7.5489796698093414e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 743 -2.2133199498057365e-02</internalNodes>
-          <leafValues>
-            -7.9881209135055542e-01 1.3015880249440670e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 744 6.0050230473279953e-02</internalNodes>
-          <leafValues>
-            -3.0599929392337799e-02 6.5180040895938873e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 745 -8.2345595583319664e-03</internalNodes>
-          <leafValues>
-            1.3700689375400543e-01 -7.2879850864410400e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 746 1.8302880227565765e-02</internalNodes>
-          <leafValues>
-            3.8170479238033295e-02 -3.0564299225807190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 747 -1.6368640353903174e-03</internalNodes>
-          <leafValues>
-            -2.9228380322456360e-01 3.1695071607828140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 748 -3.6952439695596695e-02</internalNodes>
-          <leafValues>
-            -5.2291387319564819e-01 6.8037798628211021e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 749 -2.5132870301604271e-02</internalNodes>
-          <leafValues>
-            -4.9405440688133240e-01 1.8722509965300560e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 750 8.7387202074751258e-04</internalNodes>
-          <leafValues>
-            -6.0590930283069611e-02 1.1999309808015823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 751 9.7723852377384901e-05</internalNodes>
-          <leafValues>
-            -9.9694482982158661e-02 9.9611878395080566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 752 -3.6560039967298508e-02</internalNodes>
-          <leafValues>
-            -3.4698799252510071e-02 2.3705899715423584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 753 -1.4096960425376892e-01</internalNodes>
-          <leafValues>
-            -5.1033538579940796e-01 1.7134699970483780e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 754 -1.8492950126528740e-02</internalNodes>
-          <leafValues>
-            1.3546580076217651e-01 -3.7599481642246246e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 755 5.4302928037941456e-03</internalNodes>
-          <leafValues>
-            -7.4597582221031189e-02 1.3267649710178375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 756 -2.8979010879993439e-02</internalNodes>
-          <leafValues>
-            -5.6868058443069458e-01 1.4711700379848480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 757 -4.1912179440259933e-03</internalNodes>
-          <leafValues>
-            1.4587999880313873e-01 -7.6463460922241211e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 758 9.9395290017127991e-02</internalNodes>
-          <leafValues>
-            7.5935330241918564e-03 -3.0430629849433899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 759 3.4069079905748367e-02</internalNodes>
-          <leafValues>
-            -6.6836699843406677e-02 1.5439170598983765e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>170</maxWeakCount>
-      <stageThreshold>-1.5202269554138184e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 760 -1.0689979791641235e-01</internalNodes>
-          <leafValues>
-            3.0658951401710510e-01 -2.4631050229072571e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 761 -3.0084479600191116e-02</internalNodes>
-          <leafValues>
-            1.4610590040683746e-01 -4.8218939453363419e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 762 -3.5000830888748169e-02</internalNodes>
-          <leafValues>
-            3.1755268573760986e-01 -1.4478039741516113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 763 1.1025959998369217e-01</internalNodes>
-          <leafValues>
-            2.1238500252366066e-02 -1.6012300550937653e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 764 1.2484409846365452e-02</internalNodes>
-          <leafValues>
-            -2.7466261386871338e-01 1.8460549414157867e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 765 1.5061490237712860e-02</internalNodes>
-          <leafValues>
-            -1.3149070739746094e-01 1.6390870511531830e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 766 -2.2057349979877472e-01</internalNodes>
-          <leafValues>
-            1.9639089703559875e-01 -2.3069189488887787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 767 -3.2599259167909622e-02</internalNodes>
-          <leafValues>
-            1.2439730018377304e-01 -8.7648376822471619e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 768 6.1759902164340019e-03</internalNodes>
-          <leafValues>
-            -3.8324919342994690e-01 9.4517536461353302e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 769 3.0340310186147690e-02</internalNodes>
-          <leafValues>
-            -2.1559499204158783e-02 2.3994560539722443e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 770 -2.6346590369939804e-02</internalNodes>
-          <leafValues>
-            2.5143679976463318e-01 -1.2570610642433167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 771 4.7478739172220230e-02</internalNodes>
-          <leafValues>
-            -2.3006409406661987e-02 2.8789579868316650e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 772 -3.3347800374031067e-02</internalNodes>
-          <leafValues>
-            2.8133860230445862e-01 -1.0144259780645370e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 773 -2.9174150899052620e-02</internalNodes>
-          <leafValues>
-            1.7805859446525574e-01 -1.1817619949579239e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 774 -2.8386740013957024e-02</internalNodes>
-          <leafValues>
-            3.9562720060348511e-01 -4.9916889518499374e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 775 1.8951019272208214e-02</internalNodes>
-          <leafValues>
-            2.5329099968075752e-02 -5.3371077775955200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 776 1.4761690050363541e-02</internalNodes>
-          <leafValues>
-            3.4711509943008423e-02 -5.0349467992782593e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 777 -2.7541309595108032e-02</internalNodes>
-          <leafValues>
-            2.5491359829902649e-01 -7.7761203050613403e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 778 1.1286890134215355e-02</internalNodes>
-          <leafValues>
-            2.7794640511274338e-02 -6.3489568233489990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 779 -7.1040529012680054e-01</internalNodes>
-          <leafValues>
-            -4.6786320209503174e-01 3.7275071372278035e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 780 1.6402329504489899e-01</internalNodes>
-          <leafValues>
-            -6.7450031638145447e-02 2.5602969527244568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 781 8.4193330258131027e-03</internalNodes>
-          <leafValues>
-            -9.0232700109481812e-02 2.0609809458255768e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 782 -1.4688509702682495e-01</internalNodes>
-          <leafValues>
-            3.6004349589347839e-01 -4.9512550234794617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 783 -1.9554210826754570e-02</internalNodes>
-          <leafValues>
-            3.0653059482574463e-01 -6.3451543450355530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 784 -1.0444919578731060e-02</internalNodes>
-          <leafValues>
-            1.3290570676326752e-01 -1.2827059626579285e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 785 1.1062329635024071e-02</internalNodes>
-          <leafValues>
-            4.0686979889869690e-02 -6.2988758087158203e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 786 -1.5040210448205471e-02</internalNodes>
-          <leafValues>
-            -5.8461701869964600e-01 2.3117769509553909e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 787 -1.0194590140599757e-04</internalNodes>
-          <leafValues>
-            1.1996640264987946e-01 -7.9124547541141510e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 788 9.0414949227124453e-05</internalNodes>
-          <leafValues>
-            -1.3601270318031311e-01 1.1836279928684235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 789 1.6496310010552406e-02</internalNodes>
-          <leafValues>
-            1.5407649800181389e-02 -3.3741968870162964e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 790 1.1918049858650193e-04</internalNodes>
-          <leafValues>
-            -1.3498629629611969e-01 1.2214670330286026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 791 4.4636961072683334e-02</internalNodes>
-          <leafValues>
-            -3.5782538354396820e-02 3.5916471481323242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 792 8.9213429018855095e-03</internalNodes>
-          <leafValues>
-            -1.7042760550975800e-01 9.7737736999988556e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 793 -2.0977169275283813e-02</internalNodes>
-          <leafValues>
-            9.9603489041328430e-02 -4.4926621019840240e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 794 -3.7320230156183243e-02</internalNodes>
-          <leafValues>
-            3.2442098855972290e-01 -4.5821111649274826e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 795 -1.9962401129305363e-03</internalNodes>
-          <leafValues>
-            8.7733283638954163e-02 -6.3953131437301636e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 796 1.8080769106745720e-02</internalNodes>
-          <leafValues>
-            3.3306188881397247e-02 -4.8791229724884033e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 797 1.8776309490203857e-01</internalNodes>
-          <leafValues>
-            -1.0865679942071438e-03 -4.6595638990402222e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 798 2.3192439228296280e-02</internalNodes>
-          <leafValues>
-            3.2641470432281494e-02 -4.3289509415626526e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 799 1.0338190011680126e-02</internalNodes>
-          <leafValues>
-            -8.7577022612094879e-02 1.5071089565753937e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 800 1.9133120775222778e-02</internalNodes>
-          <leafValues>
-            2.5895679369568825e-02 -5.3015732765197754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 801 -8.1426696851849556e-05</internalNodes>
-          <leafValues>
-            8.0925822257995605e-02 -9.6267983317375183e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 802 1.8560849130153656e-02</internalNodes>
-          <leafValues>
-            -7.0968322455883026e-02 1.6962639987468719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 803 -5.5964579805731773e-03</internalNodes>
-          <leafValues>
-            -4.1663470864295959e-01 3.0378060415387154e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 804 1.7773959785699844e-02</internalNodes>
-          <leafValues>
-            -5.4257538169622421e-02 2.2561490535736084e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 805 -5.9832010418176651e-02</internalNodes>
-          <leafValues>
-            2.2946140170097351e-01 -1.5503049828112125e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 806 1.1668549850583076e-02</internalNodes>
-          <leafValues>
-            2.5527859106659889e-02 -4.8873430490493774e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 807 1.7624149098992348e-02</internalNodes>
-          <leafValues>
-            -3.2836209982633591e-02 4.1528310626745224e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 808 -5.2833881229162216e-02</internalNodes>
-          <leafValues>
-            -2.8491690754890442e-01 4.6531789004802704e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 809 -2.0954129286110401e-03</internalNodes>
-          <leafValues>
-            -4.8794639110565186e-01 5.3593020886182785e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 810 -1.0130889859283343e-04</internalNodes>
-          <leafValues>
-            1.1240509897470474e-01 -1.0334850102663040e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 811 1.9346430199220777e-03</internalNodes>
-          <leafValues>
-            4.9751780927181244e-02 -3.7111181020736694e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 812 1.1420589726185426e-04</internalNodes>
-          <leafValues>
-            -1.2482249736785889e-01 1.6466249525547028e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 813 -8.1585953012108803e-05</internalNodes>
-          <leafValues>
-            9.6103258430957794e-02 -7.6807789504528046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 814 -2.5518139824271202e-02</internalNodes>
-          <leafValues>
-            2.0780040323734283e-01 -6.0223940759897232e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 815 -5.0616629421710968e-02</internalNodes>
-          <leafValues>
-            -6.6633218526840210e-01 1.2990869581699371e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 816 -1.1321919737383723e-04</internalNodes>
-          <leafValues>
-            1.1620879918336868e-01 -1.0486110299825668e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 817 -4.8787519335746765e-03</internalNodes>
-          <leafValues>
-            1.5851399302482605e-01 -9.6751511096954346e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 818 1.2007780373096466e-02</internalNodes>
-          <leafValues>
-            3.2958209514617920e-02 -3.6023509502410889e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 819 -3.9686369709670544e-03</internalNodes>
-          <leafValues>
-            5.8895830065011978e-02 -2.0575989782810211e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 820 1.1987470090389252e-01</internalNodes>
-          <leafValues>
-            -9.4282791018486023e-02 1.2716309726238251e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 821 -1.5101430006325245e-02</internalNodes>
-          <leafValues>
-            1.5447859466075897e-01 -9.8814398050308228e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 822 -3.5253658890724182e-02</internalNodes>
-          <leafValues>
-            1.9022279977798462e-01 -6.3464179635047913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 823 -8.2858894020318985e-03</internalNodes>
-          <leafValues>
-            1.9287189841270447e-01 -2.4786539375782013e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 824 -2.7197180315852165e-03</internalNodes>
-          <leafValues>
-            1.7318749427795410e-01 -7.0693030953407288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 825 -1.1073380301240832e-04</internalNodes>
-          <leafValues>
-            7.6669231057167053e-02 -7.7580787241458893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 826 -1.2925160117447376e-02</internalNodes>
-          <leafValues>
-            -5.0933468341827393e-01 2.3266840726137161e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 827 -1.0003760457038879e-02</internalNodes>
-          <leafValues>
-            2.0728209614753723e-01 -1.1720780283212662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 828 -1.6457470133900642e-02</internalNodes>
-          <leafValues>
-            -4.5447981357574463e-01 2.3052949458360672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 829 -1.5172669664025307e-02</internalNodes>
-          <leafValues>
-            -2.0384129881858826e-01 2.0879639312624931e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 830 -4.1150279343128204e-02</internalNodes>
-          <leafValues>
-            -4.8526081442832947e-01 2.3375000804662704e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 831 8.7554886704310775e-05</internalNodes>
-          <leafValues>
-            -8.3170637488365173e-02 1.1491040140390396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 832 -1.4003519900143147e-03</internalNodes>
-          <leafValues>
-            1.7052119970321655e-01 -7.9897612333297729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 833 -1.4320029877126217e-02</internalNodes>
-          <leafValues>
-            -2.7978140115737915e-01 2.7644220739603043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 834 1.0536990128457546e-02</internalNodes>
-          <leafValues>
-            3.2726321369409561e-02 -3.0974090099334717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 835 1.0322839953005314e-02</internalNodes>
-          <leafValues>
-            -2.2037370130419731e-02 1.5700039267539978e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 836 -2.9464110266417265e-03</internalNodes>
-          <leafValues>
-            9.5506630837917328e-02 -1.1159860342741013e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 837 -4.6543750911951065e-02</internalNodes>
-          <leafValues>
-            5.2395242452621460e-01 -1.0266710072755814e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 838 2.7587810531258583e-02</internalNodes>
-          <leafValues>
-            1.7757529392838478e-02 -6.0755622386932373e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 839 1.2779200077056885e-01</internalNodes>
-          <leafValues>
-            -2.9550189152359962e-02 1.9193689525127411e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 840 -2.7071989607065916e-03</internalNodes>
-          <leafValues>
-            1.3288849592208862e-01 -7.5121462345123291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 841 4.0517508983612061e-02</internalNodes>
-          <leafValues>
-            -1.8285209313035011e-02 2.3398989439010620e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 842 -2.3226549848914146e-02</internalNodes>
-          <leafValues>
-            1.1037539690732956e-01 -9.5945753157138824e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 843 7.4146009981632233e-02</internalNodes>
-          <leafValues>
-            -2.4014929309487343e-02 2.1431709825992584e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 844 -6.0976808890700340e-03</internalNodes>
-          <leafValues>
-            2.0429180562496185e-01 -5.2113000303506851e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 845 -1.5246089547872543e-02</internalNodes>
-          <leafValues>
-            1.8430249392986298e-01 -5.7474389672279358e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 846 2.0064720883965492e-03</internalNodes>
-          <leafValues>
-            -1.5901429951190948e-01 6.6750071942806244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 847 1.3912119902670383e-03</internalNodes>
-          <leafValues>
-            -6.6726118326187134e-02 1.6028690338134766e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 848 9.6176161605399102e-05</internalNodes>
-          <leafValues>
-            -1.0783439874649048e-01 9.7965776920318604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 849 8.7600788101553917e-03</internalNodes>
-          <leafValues>
-            -2.6547059416770935e-02 1.6017149388790131e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 850 -2.5330010801553726e-02</internalNodes>
-          <leafValues>
-            -4.5312818884849548e-01 2.3176750168204308e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 851 9.3010559794493020e-05</internalNodes>
-          <leafValues>
-            -7.4414081871509552e-02 3.9705768227577209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 852 1.2664360110647976e-04</internalNodes>
-          <leafValues>
-            -8.8862143456935883e-02 1.0938200354576111e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 853 1.0378329898230731e-04</internalNodes>
-          <leafValues>
-            -7.9622171819210052e-02 7.4162423610687256e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 854 -1.1490810429677367e-03</internalNodes>
-          <leafValues>
-            -2.8735539317131042e-01 3.2963339239358902e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 855 -3.7716159131377935e-03</internalNodes>
-          <leafValues>
-            1.6333040595054626e-01 -5.5975660681724548e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 856 -6.6916510462760925e-02</internalNodes>
-          <leafValues>
-            -3.2906571030616760e-01 3.0911309644579887e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 857 -4.6153448522090912e-02</internalNodes>
-          <leafValues>
-            3.1598469614982605e-01 -1.0006040334701538e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 858 -1.4114130288362503e-02</internalNodes>
-          <leafValues>
-            1.9118440151214600e-01 -5.4341658949851990e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 859 -6.7449989728629589e-03</internalNodes>
-          <leafValues>
-            -4.3027278780937195e-01 1.7616849392652512e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 860 -1.2470459565520287e-02</internalNodes>
-          <leafValues>
-            -6.0290211439132690e-01 1.4293249696493149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 861 -1.8420180305838585e-02</internalNodes>
-          <leafValues>
-            -3.8589200377464294e-01 2.0133590325713158e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 862 -9.0734250843524933e-03</internalNodes>
-          <leafValues>
-            -4.3166559934616089e-01 1.8881799653172493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 863 -1.0161520185647532e-04</internalNodes>
-          <leafValues>
-            6.7857377231121063e-02 -5.7537410408258438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 864 -1.2353780039120466e-04</internalNodes>
-          <leafValues>
-            9.7375743091106415e-02 -9.2362031340599060e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 865 9.8377313406672329e-05</internalNodes>
-          <leafValues>
-            -5.8235950767993927e-02 9.5380887389183044e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 866 -1.0639090090990067e-01</internalNodes>
-          <leafValues>
-            -2.8306511044502258e-01 3.2923609018325806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 867 -6.3616447150707245e-02</internalNodes>
-          <leafValues>
-            1.6447669267654419e-01 -6.0573101043701172e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 868 1.7245480790734291e-02</internalNodes>
-          <leafValues>
-            -6.3979178667068481e-02 1.5430940687656403e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 869 -6.7837438546121120e-03</internalNodes>
-          <leafValues>
-            -6.7650020122528076e-01 1.3685920275747776e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 870 1.9993700087070465e-02</internalNodes>
-          <leafValues>
-            -8.1984132528305054e-02 1.0957500338554382e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 871 -1.0575350373983383e-02</internalNodes>
-          <leafValues>
-            1.0185450315475464e-01 -3.5512648522853851e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 872 -1.1901520338142291e-04</internalNodes>
-          <leafValues>
-            1.0208100080490112e-01 -9.6003718674182892e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 873 6.7127197980880737e-03</internalNodes>
-          <leafValues>
-            -2.5669310241937637e-02 1.2060379981994629e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 874 -1.9734390079975128e-02</internalNodes>
-          <leafValues>
-            9.2925436794757843e-02 -1.0922320187091827e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 875 5.9160222299396992e-03</internalNodes>
-          <leafValues>
-            -5.6094389408826828e-02 4.0212169289588928e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 876 1.6886599361896515e-02</internalNodes>
-          <leafValues>
-            2.5720449164509773e-02 -3.1899920105934143e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 877 -8.1426696851849556e-05</internalNodes>
-          <leafValues>
-            4.8319049179553986e-02 -5.6603148579597473e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 878 9.8076612630393356e-05</internalNodes>
-          <leafValues>
-            -8.0048993229866028e-02 1.1017669737339020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 879 2.1393799688667059e-03</internalNodes>
-          <leafValues>
-            2.7048120275139809e-02 -1.7649430036544800e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 880 -1.1872709728777409e-03</internalNodes>
-          <leafValues>
-            1.5653279423713684e-01 -5.3677041083574295e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 881 9.3500297516584396e-03</internalNodes>
-          <leafValues>
-            2.2035079076886177e-02 -3.8529750704765320e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 882 -1.2907490134239197e-02</internalNodes>
-          <leafValues>
-            8.5855528712272644e-02 -9.4352141022682190e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 883 -8.6925812065601349e-03</internalNodes>
-          <leafValues>
-            8.2323811948299408e-02 -1.1261750012636185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 884 2.6225339621305466e-02</internalNodes>
-          <leafValues>
-            -7.9598203301429749e-02 2.1438419818878174e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 885 5.5324658751487732e-02</internalNodes>
-          <leafValues>
-            -3.4370798617601395e-02 6.1817649751901627e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 886 -1.3645890355110168e-01</internalNodes>
-          <leafValues>
-            -3.9608588814735413e-01 2.2642590105533600e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 887 4.3763849139213562e-01</internalNodes>
-          <leafValues>
-            -2.1257020533084869e-02 4.2141160368919373e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 888 4.0124261379241943e-01</internalNodes>
-          <leafValues>
-            1.3478119857609272e-02 -6.4437031745910645e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 889 5.1928348839282990e-02</internalNodes>
-          <leafValues>
-            1.6244180500507355e-02 -1.4291189610958099e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 890 2.2155599668622017e-02</internalNodes>
-          <leafValues>
-            -7.8738972544670105e-02 1.1867050081491470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 891 -1.7905909568071365e-02</internalNodes>
-          <leafValues>
-            1.0405159741640091e-01 -4.2793579399585724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 892 -2.6157870888710022e-02</internalNodes>
-          <leafValues>
-            1.9521349668502808e-01 -4.7064788639545441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 893 7.9303726553916931e-02</internalNodes>
-          <leafValues>
-            -5.7728658430278301e-03 5.2964019775390625e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 894 9.9063310772180557e-03</internalNodes>
-          <leafValues>
-            -5.4969910532236099e-02 1.7010359466075897e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 895 -1.4349560660775751e-04</internalNodes>
-          <leafValues>
-            7.5154699385166168e-02 -6.8524919450283051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 896 -1.0576599743217230e-04</internalNodes>
-          <leafValues>
-            8.9321687817573547e-02 -1.1271840333938599e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 897 1.2682359665632248e-02</internalNodes>
-          <leafValues>
-            5.6463040411472321e-02 -4.3287089467048645e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 898 -5.5023408494889736e-03</internalNodes>
-          <leafValues>
-            -4.4382581114768982e-01 1.5241930261254311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 899 2.9810098931193352e-03</internalNodes>
-          <leafValues>
-            1.8084000796079636e-02 -1.3332369923591614e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 900 3.4131971001625061e-01</internalNodes>
-          <leafValues>
-            -2.1042600274085999e-02 3.8421440124511719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 901 -2.4069199338555336e-02</internalNodes>
-          <leafValues>
-            1.0723180323839188e-01 -8.4255319088697433e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 902 2.8575219213962555e-02</internalNodes>
-          <leafValues>
-            1.8834419548511505e-02 -4.4038540124893188e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 903 1.1502469715196639e-04</internalNodes>
-          <leafValues>
-            -5.5220138281583786e-02 5.1889371126890182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 904 -6.2718510162085295e-04</internalNodes>
-          <leafValues>
-            1.2168680131435394e-01 -6.9152280688285828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 905 -4.9285031855106354e-03</internalNodes>
-          <leafValues>
-            1.1893810331821442e-01 -1.8929530680179596e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 906 9.6798430604394525e-05</internalNodes>
-          <leafValues>
-            -8.4179729223251343e-02 9.3380309641361237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 907 -8.0068537499755621e-05</internalNodes>
-          <leafValues>
-            9.5557212829589844e-02 -6.4218439161777496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 908 -9.6070143627002835e-05</internalNodes>
-          <leafValues>
-            7.3091097176074982e-02 -1.0720100253820419e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 909 -9.3654278316535056e-05</internalNodes>
-          <leafValues>
-            6.4983196556568146e-02 -8.2975886762142181e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 910 -2.9613949358463287e-02</internalNodes>
-          <leafValues>
-            -3.4413290023803711e-01 2.1603949368000031e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 911 1.9738359376788139e-02</internalNodes>
-          <leafValues>
-            -7.4910469353199005e-02 1.6203530132770538e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 912 -5.4622910916805267e-02</internalNodes>
-          <leafValues>
-            -5.3843551874160767e-01 1.5826219692826271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 913 2.5406960397958755e-02</internalNodes>
-          <leafValues>
-            -3.2018769532442093e-02 1.3851889967918396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 914 -1.5373529866337776e-02</internalNodes>
-          <leafValues>
-            1.3621629774570465e-01 -6.8222098052501678e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 915 9.0687759220600128e-02</internalNodes>
-          <leafValues>
-            -4.4694212265312672e-03 3.5965418815612793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 916 -2.5126760825514793e-02</internalNodes>
-          <leafValues>
-            1.7240080237388611e-01 -5.1155138760805130e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 917 3.0066540930420160e-03</internalNodes>
-          <leafValues>
-            -3.8472808897495270e-02 1.0702560096979141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 918 8.4653347730636597e-03</internalNodes>
-          <leafValues>
-            2.3478979244828224e-02 -3.7509509921073914e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 919 9.7920412372332066e-05</internalNodes>
-          <leafValues>
-            -5.0908301025629044e-02 4.6732418239116669e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 920 -8.7232358055189252e-05</internalNodes>
-          <leafValues>
-            9.9191993474960327e-02 -8.3799272775650024e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 921 4.9487859942018986e-03</internalNodes>
-          <leafValues>
-            -4.5264169573783875e-02 9.2176407575607300e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 922 -2.6660770177841187e-02</internalNodes>
-          <leafValues>
-            -3.8041749596595764e-01 1.9671360030770302e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 923 8.6467640358023345e-05</internalNodes>
-          <leafValues>
-            -7.9427041113376617e-02 9.1969177126884460e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 924 -1.8532250542193651e-03</internalNodes>
-          <leafValues>
-            1.7682300508022308e-01 -4.7148969024419785e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 925 -1.4915529638528824e-02</internalNodes>
-          <leafValues>
-            -3.3692631125450134e-01 2.3903379216790199e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 926 -1.0222809761762619e-01</internalNodes>
-          <leafValues>
-            -5.5827599763870239e-01 1.2426029890775681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 927 5.2015138790011406e-03</internalNodes>
-          <leafValues>
-            3.2800421118736267e-02 -1.4631250500679016e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 928 9.3680468853563070e-04</internalNodes>
-          <leafValues>
-            -6.0438130050897598e-02 1.3095420598983765e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 929 -7.4108080007135868e-03</internalNodes>
-          <leafValues>
-            -3.4674128890037537e-01 2.6007879525423050e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>193</maxWeakCount>
-      <stageThreshold>-1.4360860586166382e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 930 -1.8665779381990433e-02</internalNodes>
-          <leafValues>
-            2.9802250862121582e-01 -2.0164360105991364e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 931 1.7876209318637848e-01</internalNodes>
-          <leafValues>
-            -2.8841730952262878e-01 8.5440836846828461e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 932 -2.4368170648813248e-02</internalNodes>
-          <leafValues>
-            2.9561281204223633e-01 -1.7508549988269806e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 933 1.5175679326057434e-01</internalNodes>
-          <leafValues>
-            5.5181410163640976e-02 -8.0556839704513550e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 934 4.3565638363361359e-02</internalNodes>
-          <leafValues>
-            -3.0507868528366089e-01 9.0460099279880524e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 935 -2.8217849321663380e-03</internalNodes>
-          <leafValues>
-            1.3479979336261749e-01 -4.5820970088243484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 936 2.9153481125831604e-01</internalNodes>
-          <leafValues>
-            -2.5042079389095306e-02 -5.2862347412109375e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 937 5.6751398369669914e-03</internalNodes>
-          <leafValues>
-            -2.0208150148391724e-01 1.3647970557212830e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 938 -5.4361000657081604e-02</internalNodes>
-          <leafValues>
-            2.1826750040054321e-01 -1.1021830141544342e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 939 -1.8514929339289665e-02</internalNodes>
-          <leafValues>
-            9.9700883030891418e-02 -8.7660886347293854e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 940 1.0826139710843563e-02</internalNodes>
-          <leafValues>
-            -9.0239629149436951e-02 2.3028810322284698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 941 -5.4915390908718109e-02</internalNodes>
-          <leafValues>
-            1.4848540723323822e-01 -1.5246839821338654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 942 -1.0018239915370941e-01</internalNodes>
-          <leafValues>
-            3.1870540976524353e-01 -5.9569828212261200e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 943 -1.2449700385332108e-02</internalNodes>
-          <leafValues>
-            1.9122719764709473e-01 -8.6464017629623413e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 944 -2.4818619713187218e-02</internalNodes>
-          <leafValues>
-            -4.2524629831314087e-01 4.8842970281839371e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 945 -1.0368289798498154e-01</internalNodes>
-          <leafValues>
-            -3.7893599271774292e-01 -2.5603040121495724e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 946 -2.7756340801715851e-02</internalNodes>
-          <leafValues>
-            2.0152160525321960e-01 -9.3846760690212250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 947 1.2664039968512952e-04</internalNodes>
-          <leafValues>
-            -1.0433270037174225e-01 5.8694850653409958e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 948 1.0114379983860999e-04</internalNodes>
-          <leafValues>
-            -2.1999250352382660e-01 7.4510157108306885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 949 -2.2384760901331902e-02</internalNodes>
-          <leafValues>
-            -5.4830861091613770e-01 3.2939050346612930e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 950 1.2907509692013264e-02</internalNodes>
-          <leafValues>
-            3.2581768929958344e-02 -4.3887349963188171e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 951 -2.8063610196113586e-02</internalNodes>
-          <leafValues>
-            2.8911450505256653e-01 -6.3902527093887329e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 952 1.5816820785403252e-02</internalNodes>
-          <leafValues>
-            -7.7197156846523285e-02 2.3951299488544464e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 953 1.1950709857046604e-02</internalNodes>
-          <leafValues>
-            1.5830170363187790e-02 -5.3843390941619873e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 954 -8.8720219209790230e-03</internalNodes>
-          <leafValues>
-            -4.2367440462112427e-01 3.3000521361827850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 955 3.6972928792238235e-02</internalNodes>
-          <leafValues>
-            -7.0859201252460480e-02 3.5152399539947510e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 956 3.9606958627700806e-02</internalNodes>
-          <leafValues>
-            -4.6960968524217606e-02 3.6596560478210449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 957 -6.6295927762985229e-01</internalNodes>
-          <leafValues>
-            -3.0152958631515503e-01 9.6956668421626091e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 958 2.4906129110604525e-03</internalNodes>
-          <leafValues>
-            4.4226419180631638e-02 -3.2908758521080017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 959 -1.3971859589219093e-02</internalNodes>
-          <leafValues>
-            1.5589240193367004e-01 -1.1601889878511429e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 960 -1.1375070363283157e-01</internalNodes>
-          <leafValues>
-            1.1485689878463745e-01 -1.3213649392127991e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 961 2.9911810159683228e-01</internalNodes>
-          <leafValues>
-            6.8873511627316475e-03 -3.8814491033554077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 962 1.7687779664993286e-01</internalNodes>
-          <leafValues>
-            -5.3250420838594437e-02 3.0713948607444763e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 963 1.1000049859285355e-01</internalNodes>
-          <leafValues>
-            -6.1691209673881531e-02 2.2423219680786133e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 964 1.1481890454888344e-02</internalNodes>
-          <leafValues>
-            -3.6849450320005417e-02 3.6994668841362000e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 965 -4.3482281267642975e-02</internalNodes>
-          <leafValues>
-            6.6759057343006134e-02 -8.2093171775341034e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 966 -3.2705739140510559e-03</internalNodes>
-          <leafValues>
-            -3.1203529238700867e-01 3.6861110478639603e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 967 -1.9539929926395416e-02</internalNodes>
-          <leafValues>
-            2.0876990258693695e-01 -6.3567101955413818e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 968 1.1419560015201569e-01</internalNodes>
-          <leafValues>
-            3.7483099848031998e-02 -3.3699938654899597e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 969 -5.4715350270271301e-02</internalNodes>
-          <leafValues>
-            -6.4842391014099121e-01 5.5782468989491463e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 970 -2.0697079598903656e-02</internalNodes>
-          <leafValues>
-            -4.0871649980545044e-01 2.7801020070910454e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 971 1.6291709616780281e-02</internalNodes>
-          <leafValues>
-            -3.0260639265179634e-02 2.3359869420528412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 972 1.5691660344600677e-02</internalNodes>
-          <leafValues>
-            3.3188868314027786e-02 -3.6992970108985901e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 973 -1.4982360415160656e-02</internalNodes>
-          <leafValues>
-            -5.0467449426651001e-01 2.6605149731040001e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 974 1.6306430101394653e-01</internalNodes>
-          <leafValues>
-            2.4150509387254715e-02 -4.5440959930419922e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 975 -2.9636370018124580e-02</internalNodes>
-          <leafValues>
-            3.2348120212554932e-01 -1.9519040361046791e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 976 -2.1226789802312851e-02</internalNodes>
-          <leafValues>
-            3.5008680820465088e-01 -3.6894138902425766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 977 -1.8383020162582397e-01</internalNodes>
-          <leafValues>
-            1.1249549686908722e-01 -1.2387230247259140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 978 -1.9727550446987152e-02</internalNodes>
-          <leafValues>
-            2.2184500098228455e-01 -5.3758859634399414e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 979 -5.5899647995829582e-03</internalNodes>
-          <leafValues>
-            8.0602303147315979e-02 -7.4731111526489258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 980 -2.0963780581951141e-02</internalNodes>
-          <leafValues>
-            -3.9255261421203613e-01 2.8758550062775612e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 981 -1.6138730570673943e-02</internalNodes>
-          <leafValues>
-            1.1986479908227921e-01 -1.2855109572410583e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 982 -7.6363878324627876e-03</internalNodes>
-          <leafValues>
-            1.7836730182170868e-01 -6.4110390841960907e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 983 2.8579769656062126e-02</internalNodes>
-          <leafValues>
-            -7.4946638196706772e-03 1.2914970517158508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 984 -2.0712960511445999e-02</internalNodes>
-          <leafValues>
-            9.4717502593994141e-02 -1.3751709461212158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 985 3.3245470840483904e-03</internalNodes>
-          <leafValues>
-            4.3691419064998627e-02 -4.3515149503946304e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 986 -1.5657799318432808e-02</internalNodes>
-          <leafValues>
-            1.1052600294351578e-01 -9.3203462660312653e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 987 -8.9033246040344238e-03</internalNodes>
-          <leafValues>
-            2.1368870139122009e-01 -5.7228211313486099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 988 -2.2517060860991478e-02</internalNodes>
-          <leafValues>
-            -5.4505091905593872e-01 2.4187430739402771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 989 -9.1859940439462662e-03</internalNodes>
-          <leafValues>
-            5.9040650725364685e-02 -6.6338866949081421e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 990 -1.9304599612951279e-02</internalNodes>
-          <leafValues>
-            -3.4585410356521606e-01 2.9562819749116898e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 991 5.9454459697008133e-03</internalNodes>
-          <leafValues>
-            -3.1828779727220535e-02 1.5746699273586273e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 992 -2.1486129611730576e-02</internalNodes>
-          <leafValues>
-            -5.1556599140167236e-01 1.9380800426006317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 993 -1.4807850122451782e-02</internalNodes>
-          <leafValues>
-            -4.4625368714332581e-01 2.5272980332374573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 994 4.1915681213140488e-02</internalNodes>
-          <leafValues>
-            4.0864139795303345e-02 -2.2498999536037445e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 995 1.8542360514402390e-02</internalNodes>
-          <leafValues>
-            -4.5628201216459274e-02 1.2479899823665619e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 996 -2.1978599950671196e-02</internalNodes>
-          <leafValues>
-            1.6626510024070740e-01 -6.8181529641151428e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 997 -2.2305909544229507e-02</internalNodes>
-          <leafValues>
-            1.2176349759101868e-01 -4.6996518969535828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 998 2.7781110256910324e-02</internalNodes>
-          <leafValues>
-            -3.6972120404243469e-02 2.8523659706115723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 999 -1.7994759604334831e-02</internalNodes>
-          <leafValues>
-            1.0447979718446732e-01 -9.9000662565231323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1000 1.4754800125956535e-02</internalNodes>
-          <leafValues>
-            2.1869139745831490e-02 -4.3043890595436096e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1001 -7.7450848184525967e-03</internalNodes>
-          <leafValues>
-            3.2999970018863678e-02 -9.8474316298961639e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1002 -2.7451539412140846e-02</internalNodes>
-          <leafValues>
-            1.9599549472332001e-01 -5.0378508865833282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1003 -3.0835710931569338e-03</internalNodes>
-          <leafValues>
-            -3.3752480149269104e-01 3.3910509198904037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1004 -7.1450988762080669e-03</internalNodes>
-          <leafValues>
-            -6.7807298898696899e-01 1.1928509920835495e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1005 -1.1973819928243756e-03</internalNodes>
-          <leafValues>
-            1.2777930498123169e-01 -5.5520929396152496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1006 1.2104130291845649e-04</internalNodes>
-          <leafValues>
-            -9.7394056618213654e-02 9.9989913403987885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1007 1.1540119885466993e-04</internalNodes>
-          <leafValues>
-            -3.8101248443126678e-02 5.3142480552196503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1008 -1.0320250294171274e-04</internalNodes>
-          <leafValues>
-            1.1880250275135040e-01 -8.2887932658195496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1009 3.0217070132493973e-02</internalNodes>
-          <leafValues>
-            1.3077120296657085e-02 -4.2511129379272461e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1010 1.4480530284345150e-02</internalNodes>
-          <leafValues>
-            -6.4665600657463074e-02 1.3651260733604431e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1011 7.6259230263531208e-03</internalNodes>
-          <leafValues>
-            2.1206660196185112e-02 -4.8069199919700623e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1012 1.2706779874861240e-02</internalNodes>
-          <leafValues>
-            2.0432170480489731e-02 -3.8036710023880005e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1013 -7.0849858224391937e-02</internalNodes>
-          <leafValues>
-            -6.7007941007614136e-01 5.8502932079136372e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1014 -3.6607089638710022e-01</internalNodes>
-          <leafValues>
-            -6.5651381015777588e-01 1.1938090436160564e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1015 6.7676370963454247e-03</internalNodes>
-          <leafValues>
-            -5.4737601429224014e-02 1.3349209725856781e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1016 -5.8495830744504929e-03</internalNodes>
-          <leafValues>
-            5.5006939917802811e-02 -1.7087200284004211e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1017 -1.3192510232329369e-02</internalNodes>
-          <leafValues>
-            2.0252169668674469e-01 -4.6748850494623184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1018 -2.6243979111313820e-02</internalNodes>
-          <leafValues>
-            1.7131200432777405e-01 -5.1742289215326309e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1019 -1.9836300611495972e-01</internalNodes>
-          <leafValues>
-            6.8348598480224609e-01 -5.4989140480756760e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1020 -9.1264583170413971e-02</internalNodes>
-          <leafValues>
-            -3.8122451305389404e-01 2.4656090885400772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1021 5.1045559346675873e-02</internalNodes>
-          <leafValues>
-            4.7809281386435032e-03 -5.1388448476791382e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1022 -6.2677852809429169e-02</internalNodes>
-          <leafValues>
-            1.6051210463047028e-01 -6.9291412830352783e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1023 2.1998759359121323e-02</internalNodes>
-          <leafValues>
-            -6.3557699322700500e-02 1.0258419811725616e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1024 -9.8559096455574036e-02</internalNodes>
-          <leafValues>
-            4.1666871309280396e-01 -2.2982550784945488e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1025 -7.8866537660360336e-03</internalNodes>
-          <leafValues>
-            1.4133100211620331e-01 -6.2746547162532806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1026 5.7192011736333370e-03</internalNodes>
-          <leafValues>
-            1.4939470216631889e-02 -5.6794857978820801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1027 -1.2656320177484304e-04</internalNodes>
-          <leafValues>
-            1.5409049391746521e-01 -2.7226370573043823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1028 -1.5363659709692001e-02</internalNodes>
-          <leafValues>
-            -5.5752921104431152e-01 1.6629980877041817e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1029 1.1747309938073158e-02</internalNodes>
-          <leafValues>
-            -2.8669150546193123e-02 8.4919847548007965e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1030 -6.6546360030770302e-03</internalNodes>
-          <leafValues>
-            1.5057440102100372e-01 -5.8735769242048264e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1031 -8.2943234592676163e-03</internalNodes>
-          <leafValues>
-            -4.9023759365081787e-01 1.1976949870586395e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1032 -1.9957730174064636e-01</internalNodes>
-          <leafValues>
-            -3.2048851251602173e-01 2.4448549374938011e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1033 9.1623470187187195e-02</internalNodes>
-          <leafValues>
-            -1.1565860360860825e-02 1.2121780216693878e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1034 6.1579290777444839e-03</internalNodes>
-          <leafValues>
-            2.3432880640029907e-02 -3.4702080488204956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1035 -6.6728810779750347e-03</internalNodes>
-          <leafValues>
-            1.3372699916362762e-01 -6.0459390282630920e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1036 1.1792629811679944e-04</internalNodes>
-          <leafValues>
-            -1.1258299648761749e-01 6.9133318960666656e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1037 -1.1926449835300446e-02</internalNodes>
-          <leafValues>
-            1.3051030039787292e-01 -3.8503900170326233e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1038 6.1339139938354492e-03</internalNodes>
-          <leafValues>
-            1.7326330766081810e-02 -4.5990580320358276e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1039 -3.7309920787811279e-01</internalNodes>
-          <leafValues>
-            -3.4024098515510559e-01 2.0620759576559067e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1040 3.2631669193506241e-02</internalNodes>
-          <leafValues>
-            1.4541059732437134e-02 -5.0915217399597168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1041 -3.3705669920891523e-03</internalNodes>
-          <leafValues>
-            1.6251499950885773e-01 -2.7433190494775772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1042 9.6422692877240479e-05</internalNodes>
-          <leafValues>
-            -8.0862849950790405e-02 8.7025731801986694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1043 -1.3675920665264130e-01</internalNodes>
-          <leafValues>
-            4.6943631023168564e-02 -5.4120488464832306e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1044 -1.8601629883050919e-02</internalNodes>
-          <leafValues>
-            1.1531089991331100e-01 -7.5560040771961212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1045 -3.9706271141767502e-02</internalNodes>
-          <leafValues>
-            -4.1564889252185822e-02 3.4207019954919815e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1046 -9.7793333232402802e-02</internalNodes>
-          <leafValues>
-            -2.5549450516700745e-01 3.2621458172798157e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1047 -1.2463969737291336e-01</internalNodes>
-          <leafValues>
-            1.3530750572681427e-01 -5.6000139564275742e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1048 -7.3466179892420769e-03</internalNodes>
-          <leafValues>
-            1.3280290365219116e-01 -5.9977211058139801e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1049 -9.1007994487881660e-03</internalNodes>
-          <leafValues>
-            8.4215812385082245e-02 -9.5823230221867561e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1050 -5.4712329059839249e-02</internalNodes>
-          <leafValues>
-            -7.4970638751983643e-01 9.1644506901502609e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1051 7.8011681325733662e-03</internalNodes>
-          <leafValues>
-            -5.8472141623497009e-02 7.5802512466907501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1052 1.1504740454256535e-02</internalNodes>
-          <leafValues>
-            -5.4455708712339401e-02 1.3103820383548737e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1053 -3.0265720561146736e-03</internalNodes>
-          <leafValues>
-            4.3595738708972931e-02 -3.9831820875406265e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1054 3.9084558375179768e-03</internalNodes>
-          <leafValues>
-            -7.0230223238468170e-02 1.1850009858608246e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1055 -1.7115350812673569e-02</internalNodes>
-          <leafValues>
-            -4.8753368854522705e-01 4.2606718838214874e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1056 7.2391182184219360e-02</internalNodes>
-          <leafValues>
-            -3.0713820829987526e-02 2.8776410222053528e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1057 2.0542759448289871e-02</internalNodes>
-          <leafValues>
-            -7.5590826570987701e-02 1.0416489839553833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1058 1.2337979860603809e-02</internalNodes>
-          <leafValues>
-            3.3167198300361633e-02 -2.3291139304637909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1059 -4.0956601500511169e-02</internalNodes>
-          <leafValues>
-            2.4578510224819183e-01 -3.2600268721580505e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1060 2.2755319252610207e-02</internalNodes>
-          <leafValues>
-            2.3990869522094727e-02 -3.3137750625610352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1061 -2.6924870908260345e-03</internalNodes>
-          <leafValues>
-            6.6952548921108246e-02 -1.1627510190010071e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1062 1.0185319930315018e-02</internalNodes>
-          <leafValues>
-            -6.4380377531051636e-02 1.7856849730014801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1063 2.1892699878662825e-03</internalNodes>
-          <leafValues>
-            2.8202280402183533e-02 -1.9460220634937286e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1064 1.7614009976387024e-01</internalNodes>
-          <leafValues>
-            1.6212200745940208e-02 -4.5734050869941711e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1065 -2.4204170331358910e-03</internalNodes>
-          <leafValues>
-            1.7359940707683563e-01 -3.7762571126222610e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1066 -1.4709460083395243e-03</internalNodes>
-          <leafValues>
-            1.4086340367794037e-01 -5.3505048155784607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1067 -1.7629310488700867e-02</internalNodes>
-          <leafValues>
-            -4.3374711275100708e-01 1.7910350114107132e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1068 5.3175981156527996e-03</internalNodes>
-          <leafValues>
-            2.6618450880050659e-02 -2.9816010594367981e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1069 1.8915910040959716e-03</internalNodes>
-          <leafValues>
-            3.5916399210691452e-02 -2.0904560387134552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1070 1.3355260016396642e-03</internalNodes>
-          <leafValues>
-            4.0930848568677902e-02 -1.8434959650039673e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1071 -6.9594341330230236e-03</internalNodes>
-          <leafValues>
-            1.7677329480648041e-01 -1.7047759145498276e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1072 9.1313078883104026e-05</internalNodes>
-          <leafValues>
-            -7.4369266629219055e-02 9.6271850168704987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1073 -4.2544947937130928e-03</internalNodes>
-          <leafValues>
-            4.4604320079088211e-02 -6.3106119632720947e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1074 -1.0578350338619202e-04</internalNodes>
-          <leafValues>
-            9.1437682509422302e-02 -8.2973442971706390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1075 -1.0263289732392877e-04</internalNodes>
-          <leafValues>
-            1.0793939977884293e-01 -7.9892612993717194e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1076 -2.4791778996586800e-03</internalNodes>
-          <leafValues>
-            -2.5868308544158936e-01 2.6286249980330467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1077 -1.6074670478701591e-02</internalNodes>
-          <leafValues>
-            1.0526800155639648e-01 -6.5673381090164185e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1078 -1.4310239814221859e-02</internalNodes>
-          <leafValues>
-            -4.9289679527282715e-01 1.5973109751939774e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1079 -8.8974033133126795e-05</internalNodes>
-          <leafValues>
-            5.8744948357343674e-02 -4.5313041657209396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1080 1.0300390422344208e-03</internalNodes>
-          <leafValues>
-            -5.5908720940351486e-02 1.4394310116767883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1081 3.9175990968942642e-03</internalNodes>
-          <leafValues>
-            2.9270060360431671e-02 -1.9770559668540955e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1082 1.0633670171955600e-04</internalNodes>
-          <leafValues>
-            -1.0704860091209412e-01 9.6238046884536743e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1083 4.2181659489870071e-02</internalNodes>
-          <leafValues>
-            -1.0299479588866234e-02 5.1465499401092529e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1084 -1.2948510237038136e-02</internalNodes>
-          <leafValues>
-            1.9178110361099243e-01 -3.9072200655937195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1085 -1.1697240173816681e-02</internalNodes>
-          <leafValues>
-            6.8906992673873901e-02 -2.0180009305477142e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1086 1.4815540052950382e-02</internalNodes>
-          <leafValues>
-            -6.4537003636360168e-02 1.1534599959850311e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1087 1.2253019667696208e-04</internalNodes>
-          <leafValues>
-            -1.3507540524005890e-01 6.0662679374217987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1088 -3.1337419059127569e-03</internalNodes>
-          <leafValues>
-            1.1237639933824539e-01 -6.6894769668579102e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1089 -6.8492516875267029e-02</internalNodes>
-          <leafValues>
-            3.1228348612785339e-01 -1.0049100033938885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1090 2.8148779645562172e-02</internalNodes>
-          <leafValues>
-            1.1834469623863697e-02 -5.9781688451766968e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1091 3.8532231003046036e-02</internalNodes>
-          <leafValues>
-            -2.2291859611868858e-02 1.8402780592441559e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1092 7.2883451357483864e-03</internalNodes>
-          <leafValues>
-            -4.7932468354701996e-02 1.4016370475292206e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1093 -6.5842391923069954e-03</internalNodes>
-          <leafValues>
-            -4.4751879572868347e-01 1.1767829768359661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1094 -1.1306579835945740e-04</internalNodes>
-          <leafValues>
-            6.5438106656074524e-02 -1.0187850147485733e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1095 -4.1586891748011112e-03</internalNodes>
-          <leafValues>
-            -2.5771650671958923e-01 2.0321190357208252e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1096 3.0523419380187988e-02</internalNodes>
-          <leafValues>
-            1.7388790845870972e-02 -3.7316098809242249e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1097 -8.5078412666916847e-04</internalNodes>
-          <leafValues>
-            -3.9039680361747742e-01 8.0188266932964325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1098 -1.0892679711105302e-04</internalNodes>
-          <leafValues>
-            8.3534307777881622e-02 -8.1396430730819702e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1099 -1.9891309738159180e-01</internalNodes>
-          <leafValues>
-            -4.6180391311645508e-01 5.7829180732369423e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1100 -3.1243480741977692e-02</internalNodes>
-          <leafValues>
-            2.5022289156913757e-01 -3.0032670125365257e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1101 2.3447209969162941e-02</internalNodes>
-          <leafValues>
-            -2.5061629712581635e-02 1.9670550525188446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1102 1.1578369885683060e-02</internalNodes>
-          <leafValues>
-            1.7265379428863525e-02 -3.8913309574127197e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1103 -2.6445279363542795e-03</internalNodes>
-          <leafValues>
-            6.9367542862892151e-02 -4.0608219802379608e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1104 3.5718798637390137e-02</internalNodes>
-          <leafValues>
-            -3.0876770615577698e-02 2.2570140659809113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1105 -3.2863069325685501e-02</internalNodes>
-          <leafValues>
-            -5.2084881067276001e-01 1.5310989692807198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1106 1.2007729709148407e-01</internalNodes>
-          <leafValues>
-            9.3891620635986328e-03 -5.9657102823257446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1107 -6.8977959454059601e-03</internalNodes>
-          <leafValues>
-            7.1826606988906860e-02 -3.8691330701112747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1108 -1.1164099851157516e-04</internalNodes>
-          <leafValues>
-            9.0559646487236023e-02 -7.4175752699375153e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1109 -8.6451061069965363e-03</internalNodes>
-          <leafValues>
-            -4.6491929888725281e-01 1.1580149643123150e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1110 1.1185959738213569e-04</internalNodes>
-          <leafValues>
-            -7.8282259404659271e-02 8.7556958198547363e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1111 -3.3530138898640871e-03</internalNodes>
-          <leafValues>
-            6.3597083091735840e-02 -8.3768010139465332e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1112 -4.3913818895816803e-02</internalNodes>
-          <leafValues>
-            -7.4856078624725342e-01 8.7825870141386986e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1113 -3.0952990055084229e-03</internalNodes>
-          <leafValues>
-            1.6955019533634186e-01 -3.9198450744152069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1114 3.2301219180226326e-03</internalNodes>
-          <leafValues>
-            -1.2238019704818726e-01 6.1057928949594498e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1115 -4.5945771038532257e-02</internalNodes>
-          <leafValues>
-            -3.0185928940773010e-01 8.8831810280680656e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1116 3.7468101829290390e-02</internalNodes>
-          <leafValues>
-            1.5233550220727921e-02 -4.4433480501174927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1117 -9.6279982244595885e-04</internalNodes>
-          <leafValues>
-            1.4550130069255829e-01 -5.5346839129924774e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1118 9.5942807092797011e-05</internalNodes>
-          <leafValues>
-            -8.0140501260757446e-02 8.4200643002986908e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1119 1.2208779808133841e-03</internalNodes>
-          <leafValues>
-            -6.0854949057102203e-02 1.3992980122566223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1120 1.0304830357199535e-04</internalNodes>
-          <leafValues>
-            -9.1390810906887054e-02 9.0698756277561188e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1121 6.7147910594940186e-03</internalNodes>
-          <leafValues>
-            1.7061460763216019e-02 -4.7845649719238281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1122 1.1389680003048852e-04</internalNodes>
-          <leafValues>
-            -1.2051180005073547e-01 6.1523791402578354e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>246</maxWeakCount>
-      <stageThreshold>-1.5257749557495117e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1123 -2.4859240278601646e-02</internalNodes>
-          <leafValues>
-            3.2212960720062256e-01 -1.7630000412464142e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1124 -2.5715090334415436e-02</internalNodes>
-          <leafValues>
-            2.1644030511379242e-01 -2.0330239832401276e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1125 1.0584949702024460e-01</internalNodes>
-          <leafValues>
-            1.0783869947772473e-04 5.5255950927734375e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1126 -8.6654294282197952e-03</internalNodes>
-          <leafValues>
-            8.9402712881565094e-02 -8.5205726325511932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1127 -1.1314759962260723e-02</internalNodes>
-          <leafValues>
-            1.7304340004920959e-01 -1.8126599490642548e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1128 -5.1866549998521805e-02</internalNodes>
-          <leafValues>
-            2.4890810251235962e-01 -8.6208656430244446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1129 -4.5156660489737988e-03</internalNodes>
-          <leafValues>
-            2.8406441211700439e-01 -1.1907359957695007e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1130 -1.5003410167992115e-02</internalNodes>
-          <leafValues>
-            1.8889980018138885e-01 -8.7035499513149261e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1131 -1.0107509791851044e-02</internalNodes>
-          <leafValues>
-            2.6107978820800781e-01 -9.6679881215095520e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1132 -3.4547690302133560e-02</internalNodes>
-          <leafValues>
-            1.9014529883861542e-01 -9.6255972981452942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1133 -4.4875599443912506e-02</internalNodes>
-          <leafValues>
-            2.4909320473670959e-01 -8.9669972658157349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1134 2.1081630140542984e-02</internalNodes>
-          <leafValues>
-            -2.1065710484981537e-01 5.6633379310369492e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1135 -4.0543689392507076e-03</internalNodes>
-          <leafValues>
-            2.0171619951725006e-01 -7.8482761979103088e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1136 -2.4460731074213982e-03</internalNodes>
-          <leafValues>
-            -2.7655521035194397e-01 2.7891060337424278e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1137 1.0416610166430473e-04</internalNodes>
-          <leafValues>
-            -2.1726490557193756e-01 6.8724997341632843e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1138 -7.0905950851738453e-03</internalNodes>
-          <leafValues>
-            3.9171610027551651e-02 -7.2237558662891388e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1139 4.2705261148512363e-03</internalNodes>
-          <leafValues>
-            3.4430060535669327e-02 -4.5147350430488586e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1140 2.1259069442749023e-02</internalNodes>
-          <leafValues>
-            4.3162569403648376e-02 -4.9452671408653259e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1141 -2.9957989230751991e-02</internalNodes>
-          <leafValues>
-            1.6304069757461548e-01 -9.0024642646312714e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1142 -4.7675549983978271e-02</internalNodes>
-          <leafValues>
-            -5.6908601522445679e-01 3.1040430068969727e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1143 -2.1358959376811981e-02</internalNodes>
-          <leafValues>
-            -3.6729431152343750e-01 2.9709909111261368e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1144 -1.7130080610513687e-02</internalNodes>
-          <leafValues>
-            1.9964259862899780e-01 -6.1701580882072449e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1145 2.6973700150847435e-02</internalNodes>
-          <leafValues>
-            -9.1998912394046783e-02 1.4968660473823547e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1146 1.5395210124552250e-02</internalNodes>
-          <leafValues>
-            5.8998059481382370e-02 -4.0311428904533386e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1147 -1.3613039627671242e-02</internalNodes>
-          <leafValues>
-            -3.9532521367073059e-01 2.6161760091781616e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1148 -1.0206910222768784e-01</internalNodes>
-          <leafValues>
-            -1.6730350255966187e-01 2.6923289522528648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1149 -4.5802921056747437e-02</internalNodes>
-          <leafValues>
-            1.1230929940938950e-01 -9.9279657006263733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1150 -5.1968779414892197e-02</internalNodes>
-          <leafValues>
-            1.9432289898395538e-01 -5.0929531455039978e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1151 -4.2487609386444092e-01</internalNodes>
-          <leafValues>
-            3.5886010527610779e-01 -3.4976560622453690e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1152 7.9517379403114319e-02</internalNodes>
-          <leafValues>
-            2.0976619794964790e-02 -1.9810600578784943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1153 -4.5309830456972122e-02</internalNodes>
-          <leafValues>
-            2.5174209475517273e-01 -4.7164641320705414e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1154 4.0600001811981201e-02</internalNodes>
-          <leafValues>
-            5.9903971850872040e-03 -5.0524187088012695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1155 -2.8276300057768822e-02</internalNodes>
-          <leafValues>
-            -4.4258609414100647e-01 2.4936830624938011e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1156 9.3841962516307831e-02</internalNodes>
-          <leafValues>
-            1.7748980317264795e-03 -4.3988320231437683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1157 -1.1791589856147766e-01</internalNodes>
-          <leafValues>
-            -3.4417560696601868e-01 3.3724360167980194e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1158 -1.5139310061931610e-01</internalNodes>
-          <leafValues>
-            6.0411769896745682e-02 -5.3201220929622650e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1159 -2.2562649846076965e-01</internalNodes>
-          <leafValues>
-            -3.2119071483612061e-01 3.5429101437330246e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1160 1.2930350378155708e-02</internalNodes>
-          <leafValues>
-            3.3611949533224106e-02 -3.9412268996238708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1161 -2.4919810239225626e-03</internalNodes>
-          <leafValues>
-            1.7061330378055573e-01 -6.2898688018321991e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1162 -2.4559959769248962e-02</internalNodes>
-          <leafValues>
-            -4.1337108612060547e-01 1.7610160633921623e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1163 4.1320499777793884e-01</internalNodes>
-          <leafValues>
-            -3.9126798510551453e-02 2.6587060093879700e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1164 -3.0522849410772324e-02</internalNodes>
-          <leafValues>
-            -3.8158100843429565e-01 3.6273371428251266e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1165 -9.8860889673233032e-02</internalNodes>
-          <leafValues>
-            -2.6913830637931824e-01 3.9270389825105667e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1166 1.1311320122331381e-04</internalNodes>
-          <leafValues>
-            -1.4554770290851593e-01 5.6427501142024994e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1167 7.7236247307155281e-05</internalNodes>
-          <leafValues>
-            -1.0340359807014465e-01 8.8167242705821991e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1168 1.9930439069867134e-02</internalNodes>
-          <leafValues>
-            8.3390101790428162e-03 -4.1726669669151306e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1169 -3.3970959484577179e-02</internalNodes>
-          <leafValues>
-            2.3175339400768280e-01 -4.0641728788614273e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1170 -2.8630539774894714e-02</internalNodes>
-          <leafValues>
-            -5.5509167909622192e-01 1.6257530078291893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1171 4.9788239412009716e-03</internalNodes>
-          <leafValues>
-            3.1474281102418900e-02 -2.8877478837966919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1172 -5.6940698996186256e-03</internalNodes>
-          <leafValues>
-            2.3032620549201965e-01 -2.0171329379081726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1173 1.9577480852603912e-03</internalNodes>
-          <leafValues>
-            -5.6104071438312531e-02 1.6390749812126160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1174 -1.0736430063843727e-02</internalNodes>
-          <leafValues>
-            1.3881990313529968e-01 -5.9501811861991882e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1175 -3.9446078240871429e-02</internalNodes>
-          <leafValues>
-            -5.3395891189575195e-01 1.8544889986515045e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1176 -2.5590090081095695e-02</internalNodes>
-          <leafValues>
-            -3.0474209785461426e-01 2.0556690171360970e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1177 -2.9707629233598709e-02</internalNodes>
-          <leafValues>
-            -4.3856319785118103e-01 2.0257510244846344e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1178 1.1870719754369929e-04</internalNodes>
-          <leafValues>
-            -5.5606078356504440e-02 5.5818539112806320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1179 6.0403849929571152e-03</internalNodes>
-          <leafValues>
-            -6.2561951577663422e-02 1.4033129811286926e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1180 -2.3701060563325882e-03</internalNodes>
-          <leafValues>
-            1.0411810129880905e-01 -4.6637579798698425e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1181 -5.6802731007337570e-02</internalNodes>
-          <leafValues>
-            1.4273630082607269e-01 -6.4138323068618774e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1182 1.2178280390799046e-02</internalNodes>
-          <leafValues>
-            -5.7620238512754440e-02 1.5788230299949646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1183 -4.0311398915946484e-03</internalNodes>
-          <leafValues>
-            -3.2791781425476074e-01 2.9163230210542679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1184 5.4544620215892792e-03</internalNodes>
-          <leafValues>
-            -3.4765560179948807e-02 2.2650560736656189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1185 -1.2505230307579041e-01</internalNodes>
-          <leafValues>
-            1.1683230102062225e-01 -7.3438726365566254e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1186 -1.6150200366973877e-01</internalNodes>
-          <leafValues>
-            1.4328670501708984e-01 -7.7370628714561462e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1187 -1.5369510650634766e-01</internalNodes>
-          <leafValues>
-            -4.0407729148864746e-01 2.5253390893340111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1188 1.3832460157573223e-02</internalNodes>
-          <leafValues>
-            -9.6680596470832825e-03 2.2449059784412384e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1189 -1.9752800464630127e-02</internalNodes>
-          <leafValues>
-            -2.7250349521636963e-01 3.1350579112768173e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1190 -1.0762990452349186e-02</internalNodes>
-          <leafValues>
-            -3.8410690426826477e-01 1.3031579554080963e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1191 2.1228760480880737e-02</internalNodes>
-          <leafValues>
-            2.6058429852128029e-02 -3.0802738666534424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1192 -9.2247471911832690e-05</internalNodes>
-          <leafValues>
-            4.5628391206264496e-02 -5.6000810116529465e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1193 -1.9652589689940214e-03</internalNodes>
-          <leafValues>
-            1.3385680317878723e-01 -6.4132191240787506e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1194 2.8215510770678520e-02</internalNodes>
-          <leafValues>
-            1.5388909727334976e-02 -2.1875369548797607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1195 1.2585399963427335e-04</internalNodes>
-          <leafValues>
-            -1.3956110179424286e-01 5.9270460158586502e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1196 -6.9362311623990536e-03</internalNodes>
-          <leafValues>
-            2.1816599369049072e-01 -2.0222889259457588e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1197 -1.7958630342036486e-03</internalNodes>
-          <leafValues>
-            1.5875579416751862e-01 -4.6382639557123184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1198 9.5576168969273567e-03</internalNodes>
-          <leafValues>
-            -3.9091229438781738e-02 1.3414810597896576e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1199 -6.2396150082349777e-02</internalNodes>
-          <leafValues>
-            -4.6752119064331055e-01 1.8674060702323914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1200 -1.0964560351567343e-04</internalNodes>
-          <leafValues>
-            3.8066919893026352e-02 -5.3127989172935486e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1201 -1.9344469532370567e-02</internalNodes>
-          <leafValues>
-            -4.7804948687553406e-01 1.6591800376772881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1202 7.8327268362045288e-02</internalNodes>
-          <leafValues>
-            1.8126649782061577e-02 -3.9800310134887695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1203 -3.6987459659576416e-01</internalNodes>
-          <leafValues>
-            1.5705190598964691e-01 -5.0288591533899307e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1204 -4.6618398278951645e-02</internalNodes>
-          <leafValues>
-            1.8562039732933044e-01 -4.7500848770141602e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1205 -2.2177870571613312e-01</internalNodes>
-          <leafValues>
-            3.6903271079063416e-01 -2.1891359239816666e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1206 1.0199939832091331e-02</internalNodes>
-          <leafValues>
-            -2.0008459687232971e-02 1.8920080363750458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1207 -1.3876829762011766e-03</internalNodes>
-          <leafValues>
-            1.3981680572032928e-01 -5.5062200874090195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1208 1.0204740101471543e-04</internalNodes>
-          <leafValues>
-            -1.5539169311523438e-01 9.1232098639011383e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1209 9.5603638328611851e-05</internalNodes>
-          <leafValues>
-            -9.6878476440906525e-02 8.0248139798641205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1210 -5.3494791500270367e-03</internalNodes>
-          <leafValues>
-            7.3209710419178009e-02 -5.5011261254549026e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1211 1.3007720001041889e-02</internalNodes>
-          <leafValues>
-            2.4103149771690369e-02 -3.1236580014228821e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1212 2.9070049524307251e-02</internalNodes>
-          <leafValues>
-            -3.7642810493707657e-02 2.0871339738368988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1213 2.1258399647194892e-04</internalNodes>
-          <leafValues>
-            -1.9390119612216949e-01 4.2593110352754593e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1214 1.2767249718308449e-02</internalNodes>
-          <leafValues>
-            3.7468269467353821e-02 -3.4924089908599854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1215 -3.5076010972261429e-02</internalNodes>
-          <leafValues>
-            2.3502109944820404e-01 -3.6161709576845169e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1216 8.1403086369391531e-05</internalNodes>
-          <leafValues>
-            -3.2067000865936279e-02 5.0400421023368835e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1217 -1.7410600557923317e-02</internalNodes>
-          <leafValues>
-            9.9460333585739136e-02 -7.5129806995391846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1218 -5.4158121347427368e-03</internalNodes>
-          <leafValues>
-            1.5448880195617676e-01 -5.9565600007772446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1219 -2.7247680351138115e-02</internalNodes>
-          <leafValues>
-            -3.5382598638534546e-01 2.4235310032963753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1220 -2.2197259590029716e-02</internalNodes>
-          <leafValues>
-            -2.9720589518547058e-01 2.1416569128632545e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1221 -8.5453793406486511e-02</internalNodes>
-          <leafValues>
-            7.3914438486099243e-02 -9.8143801093101501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1222 -2.6743279770016670e-02</internalNodes>
-          <leafValues>
-            -3.8940310478210449e-01 5.3767771460115910e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1223 -8.2498956471681595e-03</internalNodes>
-          <leafValues>
-            1.9860340654850006e-01 -3.9557371288537979e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1224 -2.2797500714659691e-02</internalNodes>
-          <leafValues>
-            9.9678412079811096e-02 -6.2613576650619507e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1225 9.7113639640156180e-05</internalNodes>
-          <leafValues>
-            -8.4188252687454224e-02 9.3866080045700073e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1226 2.9884429648518562e-02</internalNodes>
-          <leafValues>
-            -2.3356929421424866e-02 1.4618140459060669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1227 -2.6803839951753616e-02</internalNodes>
-          <leafValues>
-            1.4178399741649628e-01 -6.2550060451030731e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1228 -1.9411399960517883e-02</internalNodes>
-          <leafValues>
-            -6.3382750749588013e-01 1.6149589791893959e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1229 1.2110219895839691e-01</internalNodes>
-          <leafValues>
-            2.3238999769091606e-02 -3.4702530503273010e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1230 9.2202579253353179e-05</internalNodes>
-          <leafValues>
-            -7.8421503305435181e-02 4.3959248811006546e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1231 1.7242589965462685e-02</internalNodes>
-          <leafValues>
-            2.6261070743203163e-02 -2.9944649338722229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1232 -1.1420710012316704e-02</internalNodes>
-          <leafValues>
-            -3.6522969603538513e-01 7.9645831137895584e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1233 -2.0810069516301155e-02</internalNodes>
-          <leafValues>
-            1.3638339936733246e-01 -5.4033048450946808e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1234 -1.4103479683399200e-02</internalNodes>
-          <leafValues>
-            -3.7893921136856079e-01 1.3394010253250599e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1235 -4.7581768594682217e-03</internalNodes>
-          <leafValues>
-            -3.3748060464859009e-01 2.0751159638166428e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1236 1.6709830611944199e-02</internalNodes>
-          <leafValues>
-            -2.8125260025262833e-02 7.9117581248283386e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1237 -7.5444072484970093e-02</internalNodes>
-          <leafValues>
-            3.5082611441612244e-01 -1.9444769248366356e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1238 1.7338210344314575e-01</internalNodes>
-          <leafValues>
-            -3.3310770522803068e-03 4.4801530241966248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1239 -1.4232039451599121e-01</internalNodes>
-          <leafValues>
-            -2.2757869958877563e-01 3.3073060214519501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1240 -2.2956749889999628e-03</internalNodes>
-          <leafValues>
-            6.3606172800064087e-02 -3.3936798572540283e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1241 -1.0921280045295134e-04</internalNodes>
-          <leafValues>
-            8.7956167757511139e-02 -9.4514213502407074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1242 -1.5123720280826092e-02</internalNodes>
-          <leafValues>
-            1.1071979999542236e-01 -2.7487419545650482e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1243 2.1835550665855408e-02</internalNodes>
-          <leafValues>
-            -4.8312459141016006e-02 1.4729049801826477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1244 8.3796076476573944e-02</internalNodes>
-          <leafValues>
-            1.6879159957170486e-02 -2.2147430479526520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1245 -3.8371179252862930e-02</internalNodes>
-          <leafValues>
-            -5.2152740955352783e-01 1.4304329641163349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1246 1.7588760238140821e-03</internalNodes>
-          <leafValues>
-            -4.3274711817502975e-02 4.0150411427021027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1247 -1.6422629356384277e-02</internalNodes>
-          <leafValues>
-            -5.8441460132598877e-01 1.0517139919102192e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1248 1.2245160341262817e-01</internalNodes>
-          <leafValues>
-            -9.6191419288516045e-03 1.8290150165557861e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1249 -2.7571219950914383e-02</internalNodes>
-          <leafValues>
-            -5.1605522632598877e-01 1.2647570110857487e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1250 -2.2236290574073792e-01</internalNodes>
-          <leafValues>
-            3.4756079316139221e-01 -1.0084490291774273e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1251 -2.2003330290317535e-02</internalNodes>
-          <leafValues>
-            -2.8134641051292419e-01 2.2772060707211494e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1252 -4.2912889271974564e-02</internalNodes>
-          <leafValues>
-            -4.7846621274948120e-01 1.2552970089018345e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1253 -1.4352230355143547e-02</internalNodes>
-          <leafValues>
-            1.6642050445079803e-01 -4.6472709625959396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1254 -4.1513590258546174e-04</internalNodes>
-          <leafValues>
-            -2.5722318887710571e-01 7.7890746295452118e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1255 1.2504369951784611e-03</internalNodes>
-          <leafValues>
-            -4.4778529554605484e-02 1.6678680479526520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1256 1.7647480592131615e-02</internalNodes>
-          <leafValues>
-            7.0636598393321037e-03 -3.3736529946327209e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1257 -3.4471070393919945e-03</internalNodes>
-          <leafValues>
-            7.5172327458858490e-02 -8.8124260306358337e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1258 -5.0494200550019741e-03</internalNodes>
-          <leafValues>
-            1.0575070232152939e-01 -8.7237127125263214e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1259 -3.4959301352500916e-02</internalNodes>
-          <leafValues>
-            -4.6849849820137024e-01 1.5208450146019459e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1260 1.3161719776690006e-02</internalNodes>
-          <leafValues>
-            -5.8647651225328445e-02 7.0248216390609741e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1261 -3.0560119077563286e-02</internalNodes>
-          <leafValues>
-            2.3170590400695801e-01 -4.3255310505628586e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1262 1.0238910093903542e-02</internalNodes>
-          <leafValues>
-            3.1525779515504837e-02 -2.3876720666885376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1263 2.4965599179267883e-02</internalNodes>
-          <leafValues>
-            1.8794050440192223e-02 -3.6637490987777710e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1264 -3.2253500074148178e-02</internalNodes>
-          <leafValues>
-            1.1270649731159210e-01 -2.9213100671768188e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1265 7.8411642462015152e-03</internalNodes>
-          <leafValues>
-            -7.2421632707118988e-02 1.4066340029239655e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1266 -1.4276880538091063e-03</internalNodes>
-          <leafValues>
-            1.5807349979877472e-01 -6.6449962556362152e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1267 1.1470150202512741e-03</internalNodes>
-          <leafValues>
-            4.9573831260204315e-02 -1.4308080077171326e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1268 -8.6412113159894943e-03</internalNodes>
-          <leafValues>
-            7.2913803160190582e-02 -5.3943529725074768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1269 1.1576799442991614e-03</internalNodes>
-          <leafValues>
-            -5.4953150451183319e-02 1.2435220181941986e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1270 1.1792180157499388e-04</internalNodes>
-          <leafValues>
-            -4.8270799219608307e-02 5.9082880616188049e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1271 6.5883439965546131e-03</internalNodes>
-          <leafValues>
-            2.6230650022625923e-02 -2.6026728749275208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1272 2.1313619799911976e-03</internalNodes>
-          <leafValues>
-            -5.6807540357112885e-02 2.5055360794067383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1273 1.1035949923098087e-02</internalNodes>
-          <leafValues>
-            2.8926210477948189e-02 -2.4025170505046844e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1274 9.8337702453136444e-02</internalNodes>
-          <leafValues>
-            -1.6552689485251904e-03 9.9841469526290894e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1275 -3.6867920309305191e-02</internalNodes>
-          <leafValues>
-            3.0115479230880737e-01 -1.9335890188813210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1276 -2.2431310266256332e-02</internalNodes>
-          <leafValues>
-            3.6680039763450623e-01 -8.6105773225426674e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1277 9.2809292254969478e-05</internalNodes>
-          <leafValues>
-            -1.1851680278778076e-01 7.0009030401706696e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1278 6.0986801981925964e-03</internalNodes>
-          <leafValues>
-            1.9825110211968422e-02 -5.1059758663177490e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1279 -1.0700259736040607e-04</internalNodes>
-          <leafValues>
-            8.6945056915283203e-02 -7.9039849340915680e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1280 -1.1850359849631786e-02</internalNodes>
-          <leafValues>
-            -3.4886360168457031e-01 2.8463730588555336e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1281 -1.0024739895015955e-03</internalNodes>
-          <leafValues>
-            1.2310550361871719e-01 -5.6302350014448166e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1282 -9.6648662292864174e-05</internalNodes>
-          <leafValues>
-            5.9419918805360794e-02 -5.0511650741100311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1283 -1.2687359936535358e-02</internalNodes>
-          <leafValues>
-            1.6123920679092407e-01 -4.1998729109764099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1284 2.0934140309691429e-02</internalNodes>
-          <leafValues>
-            1.3292470015585423e-02 -2.5384590029716492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1285 -8.7683666497468948e-03</internalNodes>
-          <leafValues>
-            -2.2354759275913239e-01 2.7231190353631973e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1286 -7.8724078775849193e-05</internalNodes>
-          <leafValues>
-            5.1653359085321426e-02 -3.4923698753118515e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1287 -4.5617809519171715e-03</internalNodes>
-          <leafValues>
-            1.8845909833908081e-01 -3.6218199878931046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1288 2.0101569592952728e-02</internalNodes>
-          <leafValues>
-            -1.2270460277795792e-01 5.8831069618463516e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1289 -3.1801089644432068e-03</internalNodes>
-          <leafValues>
-            1.2960070371627808e-01 -6.7920677363872528e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1290 5.7645021006464958e-03</internalNodes>
-          <leafValues>
-            1.8351480364799500e-02 -2.4903400242328644e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1291 1.0693079791963100e-02</internalNodes>
-          <leafValues>
-            9.6924025565385818e-03 -5.9504520893096924e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1292 2.8986420948058367e-03</internalNodes>
-          <leafValues>
-            5.1718991249799728e-02 -1.0468599945306778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1293 1.3929660618305206e-01</internalNodes>
-          <leafValues>
-            -1.7674539238214493e-02 3.9723560214042664e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1294 1.1850619921460748e-04</internalNodes>
-          <leafValues>
-            -4.4557079672813416e-02 5.6994900107383728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1295 -1.8981580436229706e-01</internalNodes>
-          <leafValues>
-            -2.1773189306259155e-01 2.9134890064597130e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1296 -5.5389281362295151e-02</internalNodes>
-          <leafValues>
-            -2.5266540050506592e-01 1.0798510164022446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1297 -1.0122820094693452e-04</internalNodes>
-          <leafValues>
-            8.2761690020561218e-02 -7.4456267058849335e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1298 5.2048019133508205e-03</internalNodes>
-          <leafValues>
-            -2.6181850582361221e-02 7.8894980251789093e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1299 -5.3310650400817394e-03</internalNodes>
-          <leafValues>
-            1.0743349790573120e-01 -7.3078803718090057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1300 3.1986359506845474e-02</internalNodes>
-          <leafValues>
-            -4.6606259420514107e-03 3.6849200725555420e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1301 6.1502759344875813e-03</internalNodes>
-          <leafValues>
-            3.5163421183824539e-02 -1.9803290069103241e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1302 -7.9923700541257858e-03</internalNodes>
-          <leafValues>
-            4.9680449068546295e-02 -4.3847151100635529e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1303 7.9515464603900909e-03</internalNodes>
-          <leafValues>
-            -5.0392020493745804e-02 1.3661290705204010e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1304 6.9977752864360809e-02</internalNodes>
-          <leafValues>
-            -8.1138126552104950e-03 3.4194231033325195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1305 5.3981081582605839e-03</internalNodes>
-          <leafValues>
-            3.4939639270305634e-02 -1.8219280242919922e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1306 7.9396478831768036e-02</internalNodes>
-          <leafValues>
-            2.4603689089417458e-02 -2.8492900729179382e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1307 2.5731830392032862e-03</internalNodes>
-          <leafValues>
-            -3.3786009997129440e-02 1.9118849933147430e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1308 1.5055339783430099e-02</internalNodes>
-          <leafValues>
-            1.5328220091760159e-02 -4.0066361427307129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1309 -7.9386271536350250e-03</internalNodes>
-          <leafValues>
-            1.2507259845733643e-01 -4.7316979616880417e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1310 -1.1256839934503660e-04</internalNodes>
-          <leafValues>
-            8.2493722438812256e-02 -6.8745993077754974e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1311 -1.0478479816811159e-04</internalNodes>
-          <leafValues>
-            8.4922343492507935e-02 -7.9465553164482117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1312 1.0192309855483472e-04</internalNodes>
-          <leafValues>
-            -5.1062118262052536e-02 6.2753282487392426e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1313 1.2042010348523036e-04</internalNodes>
-          <leafValues>
-            -7.9890377819538116e-02 1.0798239707946777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1314 -3.0539339408278465e-02</internalNodes>
-          <leafValues>
-            -4.6622350811958313e-01 8.6310431361198425e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1315 -1.4449549838900566e-02</internalNodes>
-          <leafValues>
-            -2.3427480459213257e-01 2.6667300611734390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1316 5.5837441235780716e-02</internalNodes>
-          <leafValues>
-            1.5657029580324888e-03 -5.9545511007308960e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1317 1.1898560449481010e-02</internalNodes>
-          <leafValues>
-            -4.8378799110651016e-02 1.1720660328865051e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1318 2.3296780884265900e-02</internalNodes>
-          <leafValues>
-            3.9587449282407761e-03 -2.4597780406475067e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1319 -9.4626396894454956e-02</internalNodes>
-          <leafValues>
-            5.1669899374246597e-02 -1.2657889723777771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1320 -1.1996289715170860e-02</internalNodes>
-          <leafValues>
-            5.7097338140010834e-02 -1.0790690034627914e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1321 3.3058781176805496e-02</internalNodes>
-          <leafValues>
-            -4.4020261615514755e-02 2.2163359820842743e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1322 6.1287730932235718e-02</internalNodes>
-          <leafValues>
-            1.3820749707520008e-02 -3.8039529323577881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1323 -8.0876126885414124e-02</internalNodes>
-          <leafValues>
-            2.1562319993972778e-01 -3.4390449523925781e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1324 -1.1805639951489866e-04</internalNodes>
-          <leafValues>
-            3.8330901414155960e-02 -3.7074659019708633e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1325 -8.8057601824402809e-03</internalNodes>
-          <leafValues>
-            7.8959703445434570e-02 -7.9623617231845856e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1326 2.3725049570202827e-02</internalNodes>
-          <leafValues>
-            -2.6400180533528328e-02 1.3833920657634735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1327 -1.3849999755620956e-02</internalNodes>
-          <leafValues>
-            1.8637719750404358e-01 -4.6536069363355637e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1328 -1.6478329896926880e-02</internalNodes>
-          <leafValues>
-            -4.7374120354652405e-01 2.0242879167199135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1329 4.9397401511669159e-02</internalNodes>
-          <leafValues>
-            1.4704129658639431e-02 -4.0255519747734070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1330 -9.9877286702394485e-03</internalNodes>
-          <leafValues>
-            6.6189177334308624e-02 -2.5849020108580589e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1331 -4.5243981294333935e-03</internalNodes>
-          <leafValues>
-            9.7362592816352844e-02 -6.8595573306083679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1332 -2.5442579761147499e-02</internalNodes>
-          <leafValues>
-            -1.0062149912118912e-01 7.2136692702770233e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1333 -1.9979789853096008e-02</internalNodes>
-          <leafValues>
-            1.2334229797124863e-01 -4.8690248280763626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1334 8.5907518863677979e-02</internalNodes>
-          <leafValues>
-            1.7899649217724800e-02 -1.2917029857635498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1335 2.4627919774502516e-03</internalNodes>
-          <leafValues>
-            2.1522510796785355e-02 -2.7410501241683960e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1336 -9.7198048024438322e-05</internalNodes>
-          <leafValues>
-            1.8001170456409454e-01 -3.0150210857391357e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1337 1.0423920117318630e-02</internalNodes>
-          <leafValues>
-            -5.4001849144697189e-02 1.2072809785604477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1338 -1.3543060049414635e-02</internalNodes>
-          <leafValues>
-            -4.4932109117507935e-01 2.1867370232939720e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1339 -1.2225230224430561e-02</internalNodes>
-          <leafValues>
-            1.0308980196714401e-01 -6.8183869123458862e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1340 -5.4508589208126068e-02</internalNodes>
-          <leafValues>
-            -3.1953170895576477e-01 1.8314510583877563e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1341 1.1417720088502392e-04</internalNodes>
-          <leafValues>
-            -7.2025686502456665e-02 8.4036201238632202e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1342 3.3673789352178574e-02</internalNodes>
-          <leafValues>
-            1.7297180369496346e-02 -3.4836369752883911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1343 -1.6943500377237797e-03</internalNodes>
-          <leafValues>
-            1.9118130207061768e-01 -3.8169119507074356e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1344 4.3568409979343414e-02</internalNodes>
-          <leafValues>
-            3.3935939427465200e-03 -2.2542549669742584e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1345 -1.5978990122675896e-02</internalNodes>
-          <leafValues>
-            -1.7443810403347015e-01 3.3246420323848724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1346 -1.7225230112671852e-03</internalNodes>
-          <leafValues>
-            6.4159378409385681e-02 -2.8688399121165276e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1347 -1.1562029831111431e-02</internalNodes>
-          <leafValues>
-            -2.5792458653450012e-01 2.6155490428209305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1348 8.8590721134096384e-05</internalNodes>
-          <leafValues>
-            -5.9500779956579208e-02 8.7054483592510223e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1349 1.8556630238890648e-03</internalNodes>
-          <leafValues>
-            -4.5497611165046692e-02 1.4414270222187042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1350 -1.1980470299022272e-04</internalNodes>
-          <leafValues>
-            4.4530108571052551e-02 -6.0078341513872147e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1351 -9.8948839877266437e-05</internalNodes>
-          <leafValues>
-            8.0990999937057495e-02 -7.4739851057529449e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1352 -9.8720411187969148e-05</internalNodes>
-          <leafValues>
-            1.0564380139112473e-01 -8.1821396946907043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1353 8.2602314651012421e-03</internalNodes>
-          <leafValues>
-            2.4992190301418304e-02 -2.4782909452915192e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1354 9.8948839877266437e-05</internalNodes>
-          <leafValues>
-            -7.5029492378234863e-02 7.9507932066917419e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1355 4.7536417841911316e-03</internalNodes>
-          <leafValues>
-            4.3906200677156448e-02 -1.2667590379714966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1356 -7.1766801178455353e-02</internalNodes>
-          <leafValues>
-            -7.3415267467498779e-01 2.7243639342486858e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1357 2.7130648959428072e-03</internalNodes>
-          <leafValues>
-            -7.5170762836933136e-02 7.5650051236152649e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1358 -2.5248030200600624e-02</internalNodes>
-          <leafValues>
-            2.0795029401779175e-01 -2.9544029384851456e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1359 -3.2913060858845711e-03</internalNodes>
-          <leafValues>
-            1.3707050681114197e-01 -4.0945030748844147e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1360 -1.1903030099347234e-04</internalNodes>
-          <leafValues>
-            7.7548287808895111e-02 -1.7951180040836334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1361 -1.7214129911735654e-03</internalNodes>
-          <leafValues>
-            1.2350810319185257e-01 -4.7916881740093231e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1362 1.9237160682678223e-02</internalNodes>
-          <leafValues>
-            -6.1758807860314846e-03 4.0595421195030212e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1363 -1.6620019450783730e-03</internalNodes>
-          <leafValues>
-            -1.8583220243453979e-01 3.3767789602279663e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1364 -7.1353819221258163e-03</internalNodes>
-          <leafValues>
-            1.6217699646949768e-01 -1.4994939789175987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1365 -1.0784330079331994e-03</internalNodes>
-          <leafValues>
-            1.0595580190420151e-01 -6.8027436733245850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1366 1.3168440200388432e-02</internalNodes>
-          <leafValues>
-            2.5256929919123650e-02 -2.4681550264358521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1367 4.3766219168901443e-02</internalNodes>
-          <leafValues>
-            8.1717539578676224e-03 -6.8213367462158203e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1368 9.7744129598140717e-03</internalNodes>
-          <leafValues>
-            -8.9659281075000763e-03 3.3161351084709167e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>279</maxWeakCount>
-      <stageThreshold>-1.4309279918670654e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1369 -1.8712989985942841e-02</internalNodes>
-          <leafValues>
-            3.1699758768081665e-01 -1.7198270559310913e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1370 1.3795300037600100e-04</internalNodes>
-          <leafValues>
-            -2.1540990471839905e-01 6.6136591136455536e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1371 6.7428596317768097e-02</internalNodes>
-          <leafValues>
-            -5.2226951811462641e-04 -3.5010319824218750e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1372 -2.4965980648994446e-01</internalNodes>
-          <leafValues>
-            -2.7784270048141479e-01 5.9022889472544193e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1373 -2.6605049148201942e-02</internalNodes>
-          <leafValues>
-            2.6684170961380005e-01 -1.3904400169849396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1374 -2.3173440247774124e-02</internalNodes>
-          <leafValues>
-            1.3601189851760864e-01 -1.0871589928865433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1375 -5.5514220148324966e-03</internalNodes>
-          <leafValues>
-            1.9473889470100403e-01 -1.4551539719104767e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1376 7.0825159549713135e-02</internalNodes>
-          <leafValues>
-            -2.6063209772109985e-01 7.9021461308002472e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1377 -2.3554509505629539e-02</internalNodes>
-          <leafValues>
-            2.9026520252227783e-01 -7.8398458659648895e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1378 -4.3396450579166412e-02</internalNodes>
-          <leafValues>
-            2.4802340567111969e-01 -4.1862510144710541e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1379 3.9755448698997498e-02</internalNodes>
-          <leafValues>
-            -8.2383207976818085e-02 2.5565001368522644e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1380 -4.7884290106594563e-03</internalNodes>
-          <leafValues>
-            9.1564856469631195e-02 -8.8997103273868561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1381 1.1186640040250495e-04</internalNodes>
-          <leafValues>
-            -1.7876160144805908e-01 9.3426421284675598e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1382 1.8653420731425285e-02</internalNodes>
-          <leafValues>
-            -6.4205586910247803e-02 3.7113490700721741e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1383 4.3760719709098339e-03</internalNodes>
-          <leafValues>
-            -1.9954790174961090e-01 7.6214671134948730e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1384 -1.4996459707617760e-02</internalNodes>
-          <leafValues>
-            1.8930730223655701e-01 -2.2424779832363129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1385 5.5244299583137035e-03</internalNodes>
-          <leafValues>
-            -7.4144102632999420e-02 2.5318071246147156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1386 -5.6609991006553173e-03</internalNodes>
-          <leafValues>
-            -3.3977329730987549e-01 3.1114479526877403e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1387 -5.7609830982983112e-03</internalNodes>
-          <leafValues>
-            1.1648339778184891e-01 -1.1574240028858185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1388 -2.6480090618133545e-01</internalNodes>
-          <leafValues>
-            1.8164689838886261e-01 -7.6448231935501099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1389 -3.2054901123046875e-02</internalNodes>
-          <leafValues>
-            2.7392259240150452e-01 -4.6557001769542694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1390 5.6860670447349548e-03</internalNodes>
-          <leafValues>
-            -2.5537090376019478e-02 1.2572510540485382e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1391 -4.1426587849855423e-03</internalNodes>
-          <leafValues>
-            9.9965266883373260e-02 -1.3714949786663055e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1392 -2.5222830474376678e-02</internalNodes>
-          <leafValues>
-            -2.1590410172939301e-01 3.3361118286848068e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1393 -1.0513579763937742e-04</internalNodes>
-          <leafValues>
-            5.9993639588356018e-02 -2.2432969510555267e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1394 3.2108161598443985e-02</internalNodes>
-          <leafValues>
-            -4.5822519809007645e-02 2.6781380176544189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1395 -1.0873610153794289e-02</internalNodes>
-          <leafValues>
-            -3.4296339750289917e-01 3.7043921649456024e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1396 -1.0672210156917572e-01</internalNodes>
-          <leafValues>
-            -1.8248610198497772e-01 2.3051809519529343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1397 9.5376763492822647e-03</internalNodes>
-          <leafValues>
-            3.3178020268678665e-02 -3.1444761157035828e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1398 -1.5397969633340836e-02</internalNodes>
-          <leafValues>
-            -4.4942921400070190e-01 2.5554839521646500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1399 -1.8874239176511765e-02</internalNodes>
-          <leafValues>
-            8.9738510549068451e-02 -1.1818610131740570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1400 -1.3807339593768120e-02</internalNodes>
-          <leafValues>
-            -4.0170770883560181e-01 3.7115719169378281e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1401 -4.8676962032914162e-03</internalNodes>
-          <leafValues>
-            -3.6395189166069031e-01 2.8655750676989555e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1402 1.1547089554369450e-02</internalNodes>
-          <leafValues>
-            -4.3462570756673813e-02 2.4953410029411316e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1403 1.8631519749760628e-02</internalNodes>
-          <leafValues>
-            -5.1945161074399948e-02 2.0126770436763763e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1404 2.2162059321999550e-02</internalNodes>
-          <leafValues>
-            -2.8367469087243080e-02 1.8125070631504059e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1405 -1.3282280415296555e-02</internalNodes>
-          <leafValues>
-            -4.3967109918594360e-01 2.3154130205512047e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1406 -4.7818228602409363e-02</internalNodes>
-          <leafValues>
-            1.5270139276981354e-01 -6.4764626324176788e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1407 -7.0768646895885468e-02</internalNodes>
-          <leafValues>
-            2.2559310495853424e-01 -4.6383719891309738e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1408 2.4587990716099739e-02</internalNodes>
-          <leafValues>
-            -7.9800963401794434e-02 1.2262780219316483e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1409 -2.9572639614343643e-03</internalNodes>
-          <leafValues>
-            -2.5401321053504944e-01 3.7109810858964920e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1410 7.7164188027381897e-02</internalNodes>
-          <leafValues>
-            3.1731691211462021e-02 -2.7239298820495605e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1411 3.5500440746545792e-02</internalNodes>
-          <leafValues>
-            -4.7737870365381241e-02 2.3480390012264252e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1412 2.4486819282174110e-02</internalNodes>
-          <leafValues>
-            -2.2118499502539635e-02 1.6140830516815186e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1413 2.2626599296927452e-02</internalNodes>
-          <leafValues>
-            -5.0503190606832504e-02 2.0568129420280457e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1414 7.3773749172687531e-03</internalNodes>
-          <leafValues>
-            3.1938448548316956e-02 -1.6982619464397430e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1415 -1.2515950016677380e-02</internalNodes>
-          <leafValues>
-            1.2577000260353088e-01 -7.3859736323356628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1416 2.1496510598808527e-03</internalNodes>
-          <leafValues>
-            6.6499963402748108e-02 -1.5948709845542908e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1417 3.2783868908882141e-01</internalNodes>
-          <leafValues>
-            -3.5387851297855377e-02 2.9959291219711304e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1418 -1.2928809970617294e-02</internalNodes>
-          <leafValues>
-            -4.2437180876731873e-01 1.4925819821655750e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1419 -2.9543310403823853e-02</internalNodes>
-          <leafValues>
-            -2.5968870520591736e-01 3.0672630295157433e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1420 1.3888539746403694e-02</internalNodes>
-          <leafValues>
-            -2.9191760346293449e-02 2.6650959253311157e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1421 -1.4243409968912601e-02</internalNodes>
-          <leafValues>
-            1.1419390141963959e-01 -7.5002923607826233e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1422 -2.4950960651040077e-02</internalNodes>
-          <leafValues>
-            -4.4170901179313660e-01 1.2046439573168755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1423 -1.3908210210502148e-02</internalNodes>
-          <leafValues>
-            -2.9652971029281616e-01 3.4981660544872284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1424 1.2620849534869194e-02</internalNodes>
-          <leafValues>
-            3.8449760526418686e-02 -3.2533881068229675e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1425 -7.8615900129079819e-03</internalNodes>
-          <leafValues>
-            1.6396899521350861e-01 -5.0281271338462830e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1426 1.3247850351035595e-02</internalNodes>
-          <leafValues>
-            -4.8171751201152802e-02 1.3091330230236053e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1427 -1.9628429785370827e-02</internalNodes>
-          <leafValues>
-            -3.0828440189361572e-01 2.6105429977178574e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1428 -1.1116229870822281e-04</internalNodes>
-          <leafValues>
-            4.9499809741973877e-02 -6.9948449730873108e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1429 -6.2212720513343811e-03</internalNodes>
-          <leafValues>
-            2.5001430511474609e-01 -3.9167519658803940e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1430 -7.5383752118796110e-05</internalNodes>
-          <leafValues>
-            6.1046328395605087e-02 -7.2739817202091217e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1431 -3.9724968373775482e-03</internalNodes>
-          <leafValues>
-            1.8301470577716827e-01 -4.4407390058040619e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1432 -4.9981191754341125e-02</internalNodes>
-          <leafValues>
-            -8.9163497090339661e-02 1.4388060197234154e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1433 2.9629090800881386e-02</internalNodes>
-          <leafValues>
-            2.6251930743455887e-02 -3.2541900873184204e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1434 3.1110059469938278e-02</internalNodes>
-          <leafValues>
-            -3.3575788140296936e-02 4.5157098770141602e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1435 -7.4198678135871887e-02</internalNodes>
-          <leafValues>
-            1.0326889902353287e-01 -7.6938740909099579e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1436 3.9898898452520370e-02</internalNodes>
-          <leafValues>
-            -2.5839729234576225e-02 1.5435829758644104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1437 -6.2805712223052979e-03</internalNodes>
-          <leafValues>
-            -2.6195061206817627e-01 2.7357010170817375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1438 -4.1073351167142391e-03</internalNodes>
-          <leafValues>
-            1.4708800613880157e-01 -5.0326839089393616e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1439 -4.9765571020543575e-03</internalNodes>
-          <leafValues>
-            8.6656570434570312e-02 -8.3321280777454376e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1440 5.6225311011075974e-02</internalNodes>
-          <leafValues>
-            -9.0561211109161377e-03 1.3645470142364502e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1441 -6.7956328392028809e-02</internalNodes>
-          <leafValues>
-            2.2713039815425873e-01 -3.3235240727663040e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1442 8.5731752216815948e-02</internalNodes>
-          <leafValues>
-            3.3442281186580658e-02 -2.3163549602031708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1443 1.7541209235787392e-02</internalNodes>
-          <leafValues>
-            -6.9512091577053070e-02 1.1899550259113312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1444 -1.7374299932271242e-03</internalNodes>
-          <leafValues>
-            9.2172093689441681e-02 -2.2669219970703125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1445 2.1910879760980606e-02</internalNodes>
-          <leafValues>
-            -4.3604359030723572e-02 2.0508739352226257e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1446 -7.7593423426151276e-02</internalNodes>
-          <leafValues>
-            -3.1961518526077271e-01 7.1907751262187958e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1447 9.2180138453841209e-03</internalNodes>
-          <leafValues>
-            -7.5073778629302979e-02 1.0250449925661087e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1448 2.6055829599499702e-02</internalNodes>
-          <leafValues>
-            1.3381079770624638e-02 -2.5850158929824829e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1449 2.8278680518269539e-02</internalNodes>
-          <leafValues>
-            2.4392090737819672e-02 -3.4649389982223511e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1450 -2.8839879669249058e-03</internalNodes>
-          <leafValues>
-            4.6307310461997986e-02 -3.9890531450510025e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1451 -3.2021909952163696e-02</internalNodes>
-          <leafValues>
-            -4.2234519124031067e-01 1.6014119610190392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1452 8.2102023065090179e-02</internalNodes>
-          <leafValues>
-            1.8811950460076332e-02 -3.5674419999122620e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1453 -1.6890240833163261e-02</internalNodes>
-          <leafValues>
-            1.8055370450019836e-01 -3.9605740457773209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1454 3.9422731846570969e-02</internalNodes>
-          <leafValues>
-            -4.7247570008039474e-02 1.5648010373115540e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1455 -3.4644010011106730e-03</internalNodes>
-          <leafValues>
-            1.0405050218105316e-01 -8.3477586507797241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1456 8.5640960605815053e-05</internalNodes>
-          <leafValues>
-            -6.7565880715847015e-02 6.6931001842021942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1457 -2.3889070376753807e-02</internalNodes>
-          <leafValues>
-            1.9076910614967346e-01 -3.8808900862932205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1458 1.0652880184352398e-02</internalNodes>
-          <leafValues>
-            -6.8672597408294678e-02 1.1517660319805145e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1459 4.0198648348450661e-03</internalNodes>
-          <leafValues>
-            4.3745230883359909e-02 -1.7597760260105133e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1460 2.8608399443328381e-03</internalNodes>
-          <leafValues>
-            4.2260829359292984e-02 -2.9830691218376160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1461 -1.3064390420913696e-01</internalNodes>
-          <leafValues>
-            -3.3777090907096863e-01 1.9081590697169304e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1462 8.4700539708137512e-02</internalNodes>
-          <leafValues>
-            2.7477950789034367e-03 -6.2895822525024414e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1463 1.0658860264811665e-04</internalNodes>
-          <leafValues>
-            -9.3349710106849670e-02 7.5861856341362000e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1464 -6.0290478169918060e-02</internalNodes>
-          <leafValues>
-            -2.0990860462188721e-01 5.9476150199770927e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1465 2.5699030607938766e-02</internalNodes>
-          <leafValues>
-            2.2030049934983253e-02 -3.1111681461334229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1466 -9.2062582552898675e-05</internalNodes>
-          <leafValues>
-            5.0981931388378143e-02 -4.3970961123704910e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1467 -1.6737770056352019e-03</internalNodes>
-          <leafValues>
-            -2.6017209887504578e-01 2.4308089166879654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1468 -2.1178390830755234e-02</internalNodes>
-          <leafValues>
-            1.5146270394325256e-01 -6.5389521420001984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1469 2.3533850908279419e-03</internalNodes>
-          <leafValues>
-            2.2910179570317268e-02 -2.8287449479103088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1470 5.3083989769220352e-02</internalNodes>
-          <leafValues>
-            -1.6384899616241455e-02 3.8097709417343140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1471 3.9989359676837921e-02</internalNodes>
-          <leafValues>
-            -2.1868970245122910e-02 3.1823658943176270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1472 -6.6623869352042675e-03</internalNodes>
-          <leafValues>
-            1.5217649936676025e-01 -2.1288560703396797e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1473 -4.5556358993053436e-02</internalNodes>
-          <leafValues>
-            -7.7857428789138794e-01 8.6588803678750992e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1474 3.0047509353607893e-03</internalNodes>
-          <leafValues>
-            -5.2169818431138992e-02 7.0881247520446777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1475 -7.3779281228780746e-03</internalNodes>
-          <leafValues>
-            1.9265919923782349e-01 -3.5522188991308212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1476 9.5453477115370333e-05</internalNodes>
-          <leafValues>
-            -9.7466319799423218e-02 9.6455052495002747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1477 -1.0967990383505821e-02</internalNodes>
-          <leafValues>
-            8.8278792798519135e-02 -7.3955200612545013e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1478 -8.9160412549972534e-01</internalNodes>
-          <leafValues>
-            -3.5863798856735229e-01 3.7620719522237778e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1479 -1.0846470296382904e-01</internalNodes>
-          <leafValues>
-            -3.3631581068038940e-01 1.9724899902939796e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1480 -1.0542329982854426e-04</internalNodes>
-          <leafValues>
-            9.7968801856040955e-02 -6.4257159829139709e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1481 -9.3890920281410217e-02</internalNodes>
-          <leafValues>
-            8.7082400918006897e-02 -7.8961193561553955e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1482 9.5453477115370333e-05</internalNodes>
-          <leafValues>
-            -5.9822808951139450e-02 5.6823138147592545e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1483 -9.8177138715982437e-03</internalNodes>
-          <leafValues>
-            1.6365979611873627e-01 -4.4457729905843735e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1484 -9.3185197329148650e-05</internalNodes>
-          <leafValues>
-            5.6417450308799744e-02 -3.6796100437641144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1485 9.4171933596953750e-05</internalNodes>
-          <leafValues>
-            -8.0542407929897308e-02 8.3805859088897705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1486 8.7554886704310775e-05</internalNodes>
-          <leafValues>
-            -4.0428161621093750e-02 5.6475739926099777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1487 -2.7950000017881393e-02</internalNodes>
-          <leafValues>
-            -6.4220017194747925e-01 9.8489876836538315e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1488 -2.2207939997315407e-02</internalNodes>
-          <leafValues>
-            1.1385910212993622e-01 -7.4823513627052307e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1489 -3.5269840154796839e-03</internalNodes>
-          <leafValues>
-            5.6313350796699524e-02 -1.1280319839715958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1490 9.3353092670440674e-03</internalNodes>
-          <leafValues>
-            1.5176270157098770e-02 -1.7910550534725189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1491 7.9498797655105591e-02</internalNodes>
-          <leafValues>
-            -4.1115999221801758e-02 2.0831950008869171e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1492 -6.4745172858238220e-02</internalNodes>
-          <leafValues>
-            5.9019170701503754e-02 -5.9164099395275116e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1493 -3.7454050779342651e-01</internalNodes>
-          <leafValues>
-            -3.1103798747062683e-01 2.5050660595297813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1494 -1.4513680071104318e-04</internalNodes>
-          <leafValues>
-            3.6691628396511078e-02 -4.0914330631494522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1495 7.7395797707140446e-03</internalNodes>
-          <leafValues>
-            2.5194179266691208e-02 -2.8290599584579468e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1496 4.1609802283346653e-03</internalNodes>
-          <leafValues>
-            -6.7230418324470520e-02 1.1040230095386505e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1497 -1.0994499549269676e-02</internalNodes>
-          <leafValues>
-            -2.7069330215454102e-01 2.5201620534062386e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1498 -7.6759129762649536e-02</internalNodes>
-          <leafValues>
-            -1.7894430458545685e-01 1.5741320326924324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1499 -2.9416190460324287e-02</internalNodes>
-          <leafValues>
-            1.4778959751129150e-01 -6.1628758907318115e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1500 2.8790929913520813e-01</internalNodes>
-          <leafValues>
-            1.5145620331168175e-02 -4.0490359067916870e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1501 -1.0059560008812696e-04</internalNodes>
-          <leafValues>
-            7.6832540333271027e-02 -8.3564698696136475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1502 4.2243651114404202e-03</internalNodes>
-          <leafValues>
-            -2.9256410896778107e-02 1.2022250145673752e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1503 -2.5259390473365784e-02</internalNodes>
-          <leafValues>
-            -2.8604280948638916e-01 2.1992789581418037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1504 -6.4038828015327454e-02</internalNodes>
-          <leafValues>
-            -2.1891179680824280e-01 1.0843659751117229e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1505 -7.0518881082534790e-02</internalNodes>
-          <leafValues>
-            4.5709618926048279e-01 -1.6392199322581291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1506 -7.0195732405409217e-05</internalNodes>
-          <leafValues>
-            3.6932911723852158e-02 -3.7064079195261002e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1507 2.9889319557696581e-03</internalNodes>
-          <leafValues>
-            -3.7548080086708069e-02 1.8391540646553040e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1508 -3.4994310699403286e-03</internalNodes>
-          <leafValues>
-            1.1269920319318771e-01 -5.1340840756893158e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1509 2.4127110838890076e-02</internalNodes>
-          <leafValues>
-            -4.1499000042676926e-02 1.7326690256595612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1510 5.6061740033328533e-03</internalNodes>
-          <leafValues>
-            1.2599259614944458e-02 -4.9376100301742554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1511 -6.8790130317211151e-03</internalNodes>
-          <leafValues>
-            1.2688520550727844e-01 -4.7930359840393066e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1512 -9.9475309252738953e-03</internalNodes>
-          <leafValues>
-            -3.0533370375633240e-01 3.5668209195137024e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1513 -6.0581211000680923e-03</internalNodes>
-          <leafValues>
-            1.0993719846010208e-01 -5.5137481540441513e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1514 -8.6769327521324158e-02</internalNodes>
-          <leafValues>
-            5.6110959500074387e-02 -9.3765012919902802e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1515 -1.0192230343818665e-01</internalNodes>
-          <leafValues>
-            5.9622108936309814e-01 -1.1424260213971138e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1516 1.6004019975662231e-01</internalNodes>
-          <leafValues>
-            7.1362429298460484e-03 -4.4572108983993530e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1517 3.9025470614433289e-03</internalNodes>
-          <leafValues>
-            -4.5999579131603241e-02 1.2214680016040802e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1518 1.1425039730966091e-02</internalNodes>
-          <leafValues>
-            3.5727649927139282e-02 -4.2463791370391846e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1519 4.8979889601469040e-02</internalNodes>
-          <leafValues>
-            -3.1489778310060501e-02 2.0362310111522675e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1520 -1.3469650410115719e-02</internalNodes>
-          <leafValues>
-            -1.7559459805488586e-01 1.9817389547824860e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1521 1.0275639593601227e-02</internalNodes>
-          <leafValues>
-            2.7038760483264923e-02 -2.3310990631580353e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1522 6.2424209900200367e-03</internalNodes>
-          <leafValues>
-            3.4217160195112228e-02 -3.3560711145401001e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1523 -1.8931780010461807e-02</internalNodes>
-          <leafValues>
-            1.2230350077152252e-01 -5.0813648849725723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1524 1.9672000408172607e-01</internalNodes>
-          <leafValues>
-            2.1031980868428946e-03 -3.7800818681716919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1525 1.3458089902997017e-02</internalNodes>
-          <leafValues>
-            1.8042970448732376e-02 -3.0950629711151123e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1526 -1.0042759822681546e-04</internalNodes>
-          <leafValues>
-            3.4072581678628922e-02 -4.0977768599987030e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1527 -1.0216310329269618e-04</internalNodes>
-          <leafValues>
-            7.3899388313293457e-02 -7.5234226882457733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1528 -1.2140619568526745e-02</internalNodes>
-          <leafValues>
-            1.2632420659065247e-01 -3.7841018289327621e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1529 -1.1189839802682400e-02</internalNodes>
-          <leafValues>
-            1.6342529654502869e-01 -3.5992480814456940e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1530 -8.0074174329638481e-03</internalNodes>
-          <leafValues>
-            3.0394570901989937e-02 -4.6366918832063675e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1531 -1.3145169941708446e-03</internalNodes>
-          <leafValues>
-            1.1306670308113098e-01 -5.6612670421600342e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1532 -1.1575019918382168e-02</internalNodes>
-          <leafValues>
-            -7.0984877645969391e-02 2.3284029215574265e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1533 1.3627949357032776e-01</internalNodes>
-          <leafValues>
-            1.2413679622113705e-02 -5.0667232275009155e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1534 -3.9589088410139084e-02</internalNodes>
-          <leafValues>
-            -9.5774747431278229e-02 8.6489180102944374e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1535 -1.6751129180192947e-02</internalNodes>
-          <leafValues>
-            -2.5233340263366699e-01 2.2889090701937675e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1536 -9.3176960945129395e-05</internalNodes>
-          <leafValues>
-            8.7076880037784576e-02 -6.7520499229431152e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1537 -2.8843290638178587e-03</internalNodes>
-          <leafValues>
-            1.1290279775857925e-01 -5.2280839532613754e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1538 3.0579629819840193e-03</internalNodes>
-          <leafValues>
-            3.5874661058187485e-02 -1.8656499683856964e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1539 9.7428957815282047e-05</internalNodes>
-          <leafValues>
-            -1.1454830318689346e-01 5.5013570934534073e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1540 1.2528899824246764e-03</internalNodes>
-          <leafValues>
-            -5.5488720536231995e-02 1.4234280586242676e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1541 -1.0249209590256214e-03</internalNodes>
-          <leafValues>
-            -1.7321769893169403e-01 3.8605920970439911e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1542 -9.3161962926387787e-02</internalNodes>
-          <leafValues>
-            -5.7080817222595215e-01 7.1864281781017780e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1543 -1.1855579941766337e-04</internalNodes>
-          <leafValues>
-            7.3641091585159302e-02 -7.7750876545906067e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1544 -1.0393650154583156e-04</internalNodes>
-          <leafValues>
-            4.2040091007947922e-02 -3.4394789487123489e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1545 1.0028410179074854e-04</internalNodes>
-          <leafValues>
-            -7.0151716470718384e-02 1.0055100172758102e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1546 9.8116062581539154e-03</internalNodes>
-          <leafValues>
-            -5.7586219161748886e-02 1.2543989717960358e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1547 -1.6187250614166260e-02</internalNodes>
-          <leafValues>
-            -2.1058849990367889e-01 2.9680129140615463e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1548 -7.9579830169677734e-02</internalNodes>
-          <leafValues>
-            2.7109518647193909e-01 -8.4382239729166031e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1549 -1.1105289449915290e-03</internalNodes>
-          <leafValues>
-            -1.0552699863910675e-01 5.2781209349632263e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1550 -1.4178539626300335e-02</internalNodes>
-          <leafValues>
-            7.4876338243484497e-02 -3.7788759917020798e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1551 -3.7608280777931213e-02</internalNodes>
-          <leafValues>
-            3.1014311313629150e-01 -1.9222050905227661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1552 7.7960239723324776e-03</internalNodes>
-          <leafValues>
-            2.0659619942307472e-02 -2.0293909311294556e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1553 -3.7200350780040026e-03</internalNodes>
-          <leafValues>
-            -1.5401360392570496e-01 3.6573860794305801e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1554 2.3217389360070229e-02</internalNodes>
-          <leafValues>
-            1.3617049902677536e-02 -1.3466610014438629e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1555 1.6200500540435314e-03</internalNodes>
-          <leafValues>
-            -4.9910828471183777e-02 1.3622540235519409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1556 -1.4102110266685486e-01</internalNodes>
-          <leafValues>
-            6.7398101091384888e-02 -3.9583180099725723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1557 4.9663311801850796e-03</internalNodes>
-          <leafValues>
-            2.7015270665287971e-02 -2.0322099328041077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1558 6.2545441091060638e-02</internalNodes>
-          <leafValues>
-            -2.0299300551414490e-02 2.7076178789138794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1559 3.5370729863643646e-02</internalNodes>
-          <leafValues>
-            1.4647419564425945e-02 -4.1517329216003418e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1560 1.1029910296201706e-02</internalNodes>
-          <leafValues>
-            3.1699210405349731e-02 -2.4132180213928223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1561 6.4016189426183701e-03</internalNodes>
-          <leafValues>
-            -4.8948030918836594e-02 1.1326249688863754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1562 -4.9354950897395611e-03</internalNodes>
-          <leafValues>
-            1.4654329419136047e-01 -4.8041410744190216e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1563 1.1353639885783195e-02</internalNodes>
-          <leafValues>
-            1.7729170620441437e-02 -3.4834858775138855e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1564 1.7991849454119802e-03</internalNodes>
-          <leafValues>
-            3.1500369310379028e-02 -1.1007600277662277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1565 -2.0583570003509521e-03</internalNodes>
-          <leafValues>
-            1.3763889670372009e-01 -3.8278561085462570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1566 -1.1583940126001835e-02</internalNodes>
-          <leafValues>
-            -1.9790500402450562e-01 2.1540040150284767e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1567 -1.7315410077571869e-03</internalNodes>
-          <leafValues>
-            1.4173020422458649e-01 -3.8997210562229156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1568 -8.4372592391446233e-04</internalNodes>
-          <leafValues>
-            1.3655510544776917e-01 -8.0693908035755157e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1569 -9.1473877429962158e-02</internalNodes>
-          <leafValues>
-            -4.4754090905189514e-01 1.1962350457906723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1570 -1.8104219809174538e-02</internalNodes>
-          <leafValues>
-            7.7289618551731110e-02 -2.3545600473880768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1571 -1.1535269732121378e-04</internalNodes>
-          <leafValues>
-            7.6836310327053070e-02 -6.8134322762489319e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1572 1.0906109586358070e-02</internalNodes>
-          <leafValues>
-            7.2263278998434544e-03 -6.9704157114028931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1573 1.7245879862457514e-03</internalNodes>
-          <leafValues>
-            -5.0353311002254486e-02 1.2810109555721283e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1574 2.0589210093021393e-01</internalNodes>
-          <leafValues>
-            -1.3300600461661816e-02 2.7169388532638550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1575 -3.1669791787862778e-02</internalNodes>
-          <leafValues>
-            -3.3548399806022644e-01 1.5808839350938797e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1576 1.2097669765353203e-02</internalNodes>
-          <leafValues>
-            -7.1846768260002136e-02 1.8981289118528366e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1577 -9.8784686997532845e-05</internalNodes>
-          <leafValues>
-            6.6305041313171387e-02 -7.9649433493614197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1578 3.4662809222936630e-02</internalNodes>
-          <leafValues>
-            -2.4243790656328201e-02 2.2660750150680542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1579 4.1574249044060707e-03</internalNodes>
-          <leafValues>
-            -2.3725839331746101e-02 2.2775200009346008e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1580 1.3625459372997284e-01</internalNodes>
-          <leafValues>
-            1.2545660138130188e-02 -1.8698890507221222e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1581 -1.8796479701995850e-01</internalNodes>
-          <leafValues>
-            -4.9749028682708740e-01 1.0914600454270840e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1582 -6.8078853189945221e-02</internalNodes>
-          <leafValues>
-            6.5818381309509277e-01 -4.3843579478561878e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1583 4.1167731396853924e-03</internalNodes>
-          <leafValues>
-            4.0211249142885208e-02 -1.4137159287929535e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1584 1.2222830206155777e-02</internalNodes>
-          <leafValues>
-            1.7555380240082741e-02 -1.2423080205917358e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1585 -3.0194509774446487e-02</internalNodes>
-          <leafValues>
-            2.8969380259513855e-01 -2.0085370168089867e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1586 -1.3630479574203491e-02</internalNodes>
-          <leafValues>
-            -7.2930537164211273e-02 2.0471939817070961e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1587 -4.9170460551977158e-02</internalNodes>
-          <leafValues>
-            1.4496059715747833e-01 -4.1022989898920059e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1588 -1.8805779516696930e-02</internalNodes>
-          <leafValues>
-            -3.0851051211357117e-01 2.8086919337511063e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1589 3.0058639124035835e-02</internalNodes>
-          <leafValues>
-            1.2547640129923820e-02 -4.4722351431846619e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1590 1.1746119707822800e-02</internalNodes>
-          <leafValues>
-            -5.7717248797416687e-02 8.7828032672405243e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1591 1.0928919911384583e-01</internalNodes>
-          <leafValues>
-            -6.8391263484954834e-02 9.7572147846221924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1592 9.1915056109428406e-03</internalNodes>
-          <leafValues>
-            -7.4181012809276581e-02 7.3394171893596649e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1593 1.8468169867992401e-01</internalNodes>
-          <leafValues>
-            9.3096662312746048e-03 -5.8784562349319458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1594 6.8637598305940628e-03</internalNodes>
-          <leafValues>
-            3.0968079343438148e-02 -1.7277500033378601e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1595 -1.9742390140891075e-03</internalNodes>
-          <leafValues>
-            1.3069419562816620e-01 -3.8030050694942474e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1596 -2.6963930577039719e-03</internalNodes>
-          <leafValues>
-            1.6244409978389740e-01 -3.5481378436088562e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1597 -5.8013908565044403e-02</internalNodes>
-          <leafValues>
-            -4.3749481439590454e-01 1.2770510278642178e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1598 8.9008668437600136e-03</internalNodes>
-          <leafValues>
-            4.3059259653091431e-02 -3.7901559472084045e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1599 -1.6740450635552406e-02</internalNodes>
-          <leafValues>
-            -4.0966311097145081e-01 1.0411660186946392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1600 2.6413789018988609e-03</internalNodes>
-          <leafValues>
-            -4.0057808160781860e-02 2.1676640212535858e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1601 -8.0486387014389038e-03</internalNodes>
-          <leafValues>
-            -2.7881771326065063e-01 1.9777970388531685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1602 -6.0376349836587906e-02</internalNodes>
-          <leafValues>
-            5.3534799814224243e-01 -1.1424889788031578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1603 2.3124070838093758e-02</internalNodes>
-          <leafValues>
-            1.6458159312605858e-02 -3.2125988602638245e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1604 2.0322829484939575e-01</internalNodes>
-          <leafValues>
-            -2.3145940154790878e-02 2.3903259634971619e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1605 9.2585664242506027e-03</internalNodes>
-          <leafValues>
-            1.1980939656496048e-02 -4.3842160701751709e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1606 -9.3168877356220037e-05</internalNodes>
-          <leafValues>
-            3.8687478750944138e-02 -3.7797808647155762e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1607 -3.0643379688262939e-01</internalNodes>
-          <leafValues>
-            -5.5774372816085815e-01 9.6901366487145424e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1608 9.9146942375227809e-05</internalNodes>
-          <leafValues>
-            -5.5330239236354828e-02 6.6835246980190277e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1609 -2.0753950811922550e-03</internalNodes>
-          <leafValues>
-            1.5105390548706055e-01 -3.7970088422298431e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1610 1.7292000120505691e-03</internalNodes>
-          <leafValues>
-            3.7206560373306274e-02 -1.2662950158119202e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1611 4.1486289352178574e-02</internalNodes>
-          <leafValues>
-            -7.8654065728187561e-03 5.9286290407180786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1612 -2.1392209455370903e-03</internalNodes>
-          <leafValues>
-            -2.1703329682350159e-01 2.5509839877486229e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1613 -1.2593599967658520e-03</internalNodes>
-          <leafValues>
-            -1.5436570346355438e-01 3.1676661223173141e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1614 -5.2773267962038517e-03</internalNodes>
-          <leafValues>
-            4.0892910212278366e-02 -2.8415739536285400e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1615 -1.1125040240585804e-02</internalNodes>
-          <leafValues>
-            1.6232059895992279e-01 -3.0745169147849083e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1616 -1.6761909937486053e-03</internalNodes>
-          <leafValues>
-            -3.3090171217918396e-01 1.7768569290637970e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1617 -1.0530459985602647e-04</internalNodes>
-          <leafValues>
-            7.5438939034938812e-02 -6.6933870315551758e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1618 7.3067108169198036e-03</internalNodes>
-          <leafValues>
-            5.1727588288486004e-03 -5.5249291658401489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1619 9.5791132480371743e-05</internalNodes>
-          <leafValues>
-            -7.4921347200870514e-02 8.6354851722717285e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1620 -9.3413247668650001e-05</internalNodes>
-          <leafValues>
-            4.8558268696069717e-02 -4.0378730744123459e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1621 4.6156500466167927e-03</internalNodes>
-          <leafValues>
-            -3.7532798945903778e-02 1.3340139389038086e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1622 -4.1042149066925049e-02</internalNodes>
-          <leafValues>
-            2.9821568727493286e-01 -6.6182389855384827e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1623 7.1153012104332447e-03</internalNodes>
-          <leafValues>
-            -2.1631240844726562e-02 2.3582610487937927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1624 -3.1066430732607841e-02</internalNodes>
-          <leafValues>
-            -5.8610522747039795e-01 3.6739821080118418e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1625 4.5988909900188446e-02</internalNodes>
-          <leafValues>
-            1.6935029998421669e-02 -3.1026428937911987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1626 -1.1326739937067032e-01</internalNodes>
-          <leafValues>
-            1.5654860436916351e-01 -5.0538508221507072e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1627 6.4136488363146782e-03</internalNodes>
-          <leafValues>
-            -5.3936250507831573e-02 1.0013920068740845e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1628 3.6615829914808273e-02</internalNodes>
-          <leafValues>
-            8.5446005687117577e-03 -1.5964660048484802e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1629 -1.7147939652204514e-02</internalNodes>
-          <leafValues>
-            1.4192830026149750e-01 -5.3749438375234604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1630 5.3531897719949484e-04</internalNodes>
-          <leafValues>
-            1.1440339684486389e-01 -2.3302769660949707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1631 1.1444079689681530e-02</internalNodes>
-          <leafValues>
-            1.2468489818274975e-02 -3.9174211025238037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1632 8.3751561760436743e-05</internalNodes>
-          <leafValues>
-            -4.9933150410652161e-02 5.4828610271215439e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1633 -1.8420179840177298e-03</internalNodes>
-          <leafValues>
-            1.4353500306606293e-01 -3.7544708698987961e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1634 4.5310789719223976e-03</internalNodes>
-          <leafValues>
-            1.0783690027892590e-02 -1.8584489822387695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1635 -6.4388299360871315e-03</internalNodes>
-          <leafValues>
-            -3.6381769180297852e-01 1.2662259861826897e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1636 5.8657680638134480e-03</internalNodes>
-          <leafValues>
-            -5.0155811011791229e-02 9.5346279442310333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1637 7.2214446961879730e-02</internalNodes>
-          <leafValues>
-            2.0769899711012840e-02 -2.3239180445671082e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1638 1.1799850035458803e-03</internalNodes>
-          <leafValues>
-            3.0479110777378082e-02 -1.0156790167093277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1639 -9.1386884450912476e-03</internalNodes>
-          <leafValues>
-            1.4592429995536804e-01 -3.5100910812616348e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1640 -1.1487520299851894e-02</internalNodes>
-          <leafValues>
-            6.6731408238410950e-02 -4.0960971266031265e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1641 5.9421849437057972e-03</internalNodes>
-          <leafValues>
-            2.6715600863099098e-02 -2.0938999950885773e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1642 1.5967000275850296e-02</internalNodes>
-          <leafValues>
-            -2.5690900161862373e-02 1.6294980049133301e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1643 -1.0477179894223809e-03</internalNodes>
-          <leafValues>
-            1.1148150265216827e-01 -4.4679220765829086e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1644 -1.7775410087779164e-03</internalNodes>
-          <leafValues>
-            5.1736749708652496e-02 -3.4007608890533447e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1645 2.2314190864562988e-02</internalNodes>
-          <leafValues>
-            1.1056879535317421e-02 -4.7578111290931702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1646 -1.2075630016624928e-02</internalNodes>
-          <leafValues>
-            7.8382678329944611e-02 -3.8613840937614441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1647 5.9365699999034405e-03</internalNodes>
-          <leafValues>
-            -4.0792420506477356e-02 1.2774890661239624e-01</leafValues></_></weakClassifiers></_></stages>
-  <features>
-    <_>
-      <rects>
-        <_>
-          2 0 9 12 -1.</_>
-        <_>
-          2 4 9 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 2 -1.</_>
-        <_>
-          10 4 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 9 4 2 -1.</_>
-        <_>
-          13 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          6 0 6 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 4 2 -1.</_>
-        <_>
-          13 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 4 2 -1.</_>
-        <_>
-          1 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 6 -1.</_>
-        <_>
-          5 3 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 7 6 -1.</_>
-        <_>
-          7 3 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 1 3 -1.</_>
-        <_>
-          1 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 12 -1.</_>
-        <_>
-          17 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 5 4 -1.</_>
-        <_>
-          13 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 9 12 -1.</_>
-        <_>
-          2 4 9 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 1 -1.</_>
-        <_>
-          16 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 10 6 -1.</_>
-        <_>
-          1 8 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 9 -1.</_>
-        <_>
-          6 4 6 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 5 4 -1.</_>
-        <_>
-          0 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 6 -1.</_>
-        <_>
-          8 4 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 2 -1.</_>
-        <_>
-          10 4 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 6 -1.</_>
-        <_>
-          4 3 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 12 2 -1.</_>
-        <_>
-          3 11 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 2 -1.</_>
-        <_>
-          8 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 4 2 -1.</_>
-        <_>
-          8 3 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 2 -1.</_>
-        <_>
-          8 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 2 -1.</_>
-        <_>
-          6 0 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 6 -1.</_>
-        <_>
-          4 4 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 1 3 -1.</_>
-        <_>
-          1 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 1 2 -1.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 1 2 -1.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 2 -1.</_>
-        <_>
-          16 9 1 1 2.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 6 -1.</_>
-        <_>
-          5 2 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 11 6 -1.</_>
-        <_>
-          2 2 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 4 1 -1.</_>
-        <_>
-          5 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          7 3 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 12 6 -1.</_>
-        <_>
-          0 5 6 3 2.</_>
-        <_>
-          6 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 6 -1.</_>
-        <_>
-          7 3 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 6 3 -1.</_>
-        <_>
-          11 3 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 7 4 -1.</_>
-        <_>
-          0 10 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 11 -1.</_>
-        <_>
-          6 0 6 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 4 2 -1.</_>
-        <_>
-          0 11 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 3 -1.</_>
-        <_>
-          12 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 3 -1.</_>
-        <_>
-          6 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 10 6 2 -1.</_>
-        <_>
-          11 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 6 2 -1.</_>
-        <_>
-          7 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 2 -1.</_>
-        <_>
-          8 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 4 -1.</_>
-        <_>
-          0 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 5 -1.</_>
-        <_>
-          8 4 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 4 -1.</_>
-        <_>
-          5 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 2 -1.</_>
-        <_>
-          4 1 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          9 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 4 -1.</_>
-        <_>
-          7 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 9 3 -1.</_>
-        <_>
-          5 1 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 3 -1.</_>
-        <_>
-          2 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 8 -1.</_>
-        <_>
-          7 2 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 4 -1.</_>
-        <_>
-          15 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 16 8 -1.</_>
-        <_>
-          0 3 8 4 2.</_>
-        <_>
-          8 7 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 4 -1.</_>
-        <_>
-          16 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 4 -1.</_>
-        <_>
-          0 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 2 -1.</_>
-        <_>
-          11 6 1 1 2.</_>
-        <_>
-          10 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 2 -1.</_>
-        <_>
-          8 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 3 -1.</_>
-        <_>
-          14 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 3 -1.</_>
-        <_>
-          8 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 2 -1.</_>
-        <_>
-          15 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 2 -1.</_>
-        <_>
-          0 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          6 4 6 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 10 8 -1.</_>
-        <_>
-          8 8 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 4 -1.</_>
-        <_>
-          2 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 4 -1.</_>
-        <_>
-          14 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 6 1 -1.</_>
-        <_>
-          9 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 2 -1.</_>
-        <_>
-          16 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 2 -1.</_>
-        <_>
-          0 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 4 1 -1.</_>
-        <_>
-          14 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 6 2 -1.</_>
-        <_>
-          0 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 4 2 -1.</_>
-        <_>
-          14 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 4 2 -1.</_>
-        <_>
-          0 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 7 -1.</_>
-        <_>
-          10 1 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 6 -1.</_>
-        <_>
-          0 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 2 -1.</_>
-        <_>
-          9 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 8 4 -1.</_>
-        <_>
-          6 0 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 9 1 2 -1.</_>
-        <_>
-          13 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          8 1 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 2 -1.</_>
-        <_>
-          9 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 9 8 -1.</_>
-        <_>
-          4 2 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 4 -1.</_>
-        <_>
-          9 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 6 -1.</_>
-        <_>
-          8 6 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 4 2 -1.</_>
-        <_>
-          7 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 5 2 -1.</_>
-        <_>
-          13 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 4 -1.</_>
-        <_>
-          7 5 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 5 2 -1.</_>
-        <_>
-          13 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 5 2 -1.</_>
-        <_>
-          0 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          0 0 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 4 2 -1.</_>
-        <_>
-          5 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 3 -1.</_>
-        <_>
-          11 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 3 -1.</_>
-        <_>
-          5 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 2 -1.</_>
-        <_>
-          10 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 1 2 -1.</_>
-        <_>
-          4 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 4 -1.</_>
-        <_>
-          5 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 5 4 -1.</_>
-        <_>
-          6 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          10 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 4 -1.</_>
-        <_>
-          6 8 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 2 -1.</_>
-        <_>
-          10 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          0 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 8 6 -1.</_>
-        <_>
-          6 3 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 2 -1.</_>
-        <_>
-          6 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 8 2 -1.</_>
-        <_>
-          9 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 2 3 -1.</_>
-        <_>
-          6 4 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 9 6 -1.</_>
-        <_>
-          5 2 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 11 4 -1.</_>
-        <_>
-          2 2 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 2 -1.</_>
-        <_>
-          14 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 2 3 -1.</_>
-        <_>
-          3 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 9 -1.</_>
-        <_>
-          8 4 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 4 4 -1.</_>
-        <_>
-          14 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 10 6 -1.</_>
-        <_>
-          1 9 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 4 5 -1.</_>
-        <_>
-          14 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 5 -1.</_>
-        <_>
-          2 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 3 -1.</_>
-        <_>
-          11 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 3 -1.</_>
-        <_>
-          7 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 2 -1.</_>
-        <_>
-          9 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 2 2 -1.</_>
-        <_>
-          6 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 8 4 -1.</_>
-        <_>
-          6 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 2 -1.</_>
-        <_>
-          5 0 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 6 -1.</_>
-        <_>
-          7 5 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 3 -1.</_>
-        <_>
-          7 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 2 2 -1.</_>
-        <_>
-          2 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 2 -1.</_>
-        <_>
-          10 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 3 -1.</_>
-        <_>
-          8 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 4 -1.</_>
-        <_>
-          5 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 1 2 -1.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 4 -1.</_>
-        <_>
-          7 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 6 1 -1.</_>
-        <_>
-          6 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 6 1 -1.</_>
-        <_>
-          8 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 10 -1.</_>
-        <_>
-          0 2 9 5 2.</_>
-        <_>
-          9 7 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 9 -1.</_>
-        <_>
-          8 0 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 6 1 -1.</_>
-        <_>
-          7 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          8 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 7 4 -1.</_>
-        <_>
-          5 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 1 2 -1.</_>
-        <_>
-          12 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 3 -1.</_>
-        <_>
-          5 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 2 -1.</_>
-        <_>
-          11 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 2 -1.</_>
-        <_>
-          5 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 5 -1.</_>
-        <_>
-          10 5 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 5 -1.</_>
-        <_>
-          7 5 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 1 6 -1.</_>
-        <_>
-          17 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 9 -1.</_>
-        <_>
-          0 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 2 -1.</_>
-        <_>
-          16 9 1 1 2.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 2 -1.</_>
-        <_>
-          11 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 3 -1.</_>
-        <_>
-          4 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 7 1 4 -1.</_>
-        <_>
-          17 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 4 -1.</_>
-        <_>
-          0 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 7 -1.</_>
-        <_>
-          10 1 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 7 3 -1.</_>
-        <_>
-          8 1 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 2 -1.</_>
-        <_>
-          16 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 3 -1.</_>
-        <_>
-          4 3 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 2 -1.</_>
-        <_>
-          16 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 2 2 -1.</_>
-        <_>
-          2 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          0 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 16 10 -1.</_>
-        <_>
-          5 1 8 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 10 -1.</_>
-        <_>
-          6 0 8 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 16 10 -1.</_>
-        <_>
-          4 0 8 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 2 -1.</_>
-        <_>
-          14 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 2 -1.</_>
-        <_>
-          6 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 11 8 -1.</_>
-        <_>
-          0 4 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 3 -1.</_>
-        <_>
-          2 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 6 -1.</_>
-        <_>
-          3 4 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 3 -1.</_>
-        <_>
-          0 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 7 3 -1.</_>
-        <_>
-          6 4 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 10 2 -1.</_>
-        <_>
-          4 11 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 10 2 -1.</_>
-        <_>
-          5 5 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          6 0 6 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 1 8 -1.</_>
-        <_>
-          17 8 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 1 8 -1.</_>
-        <_>
-          0 8 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 12 3 -1.</_>
-        <_>
-          9 7 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 2 -1.</_>
-        <_>
-          4 3 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 4 -1.</_>
-        <_>
-          9 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 4 -1.</_>
-        <_>
-          7 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 2 -1.</_>
-        <_>
-          0 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 2 -1.</_>
-        <_>
-          8 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 7 4 -1.</_>
-        <_>
-          4 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 10 4 -1.</_>
-        <_>
-          5 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 2 -1.</_>
-        <_>
-          8 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 6 3 -1.</_>
-        <_>
-          11 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 6 3 -1.</_>
-        <_>
-          5 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 5 4 -1.</_>
-        <_>
-          8 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 9 1 -1.</_>
-        <_>
-          12 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 3 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 7 3 -1.</_>
-        <_>
-          7 3 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 2 -1.</_>
-        <_>
-          2 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 4 -1.</_>
-        <_>
-          16 1 2 2 2.</_>
-        <_>
-          14 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 6 2 -1.</_>
-        <_>
-          4 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 4 -1.</_>
-        <_>
-          0 1 2 2 2.</_>
-        <_>
-          2 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 1 4 -1.</_>
-        <_>
-          17 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 4 -1.</_>
-        <_>
-          0 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 1 4 -1.</_>
-        <_>
-          17 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 4 1 -1.</_>
-        <_>
-          1 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 16 10 -1.</_>
-        <_>
-          10 2 8 5 2.</_>
-        <_>
-          2 7 8 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 3 -1.</_>
-        <_>
-          6 1 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 8 -1.</_>
-        <_>
-          9 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 6 3 -1.</_>
-        <_>
-          6 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 3 -1.</_>
-        <_>
-          8 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 12 -1.</_>
-        <_>
-          12 0 6 6 2.</_>
-        <_>
-          6 6 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 12 -1.</_>
-        <_>
-          0 0 6 6 2.</_>
-        <_>
-          6 6 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 6 -1.</_>
-        <_>
-          6 3 6 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 4 1 -1.</_>
-        <_>
-          4 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 1 -1.</_>
-        <_>
-          9 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 8 -1.</_>
-        <_>
-          9 1 9 4 2.</_>
-        <_>
-          0 5 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 11 8 -1.</_>
-        <_>
-          0 4 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 1 3 -1.</_>
-        <_>
-          1 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 3 -1.</_>
-        <_>
-          8 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 2 -1.</_>
-        <_>
-          4 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 2 -1.</_>
-        <_>
-          16 9 1 1 2.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 4 -1.</_>
-        <_>
-          0 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 9 3 -1.</_>
-        <_>
-          5 9 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 6 1 -1.</_>
-        <_>
-          9 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 6 1 -1.</_>
-        <_>
-          7 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 3 -1.</_>
-        <_>
-          6 9 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 2 -1.</_>
-        <_>
-          0 7 1 1 2.</_>
-        <_>
-          1 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 12 1 -1.</_>
-        <_>
-          6 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 12 1 -1.</_>
-        <_>
-          6 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 8 10 -1.</_>
-        <_>
-          11 2 4 5 2.</_>
-        <_>
-          7 7 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 6 -1.</_>
-        <_>
-          5 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 6 -1.</_>
-        <_>
-          8 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          13 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 7 -1.</_>
-        <_>
-          6 4 6 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 8 10 -1.</_>
-        <_>
-          11 2 4 5 2.</_>
-        <_>
-          7 7 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 8 10 -1.</_>
-        <_>
-          3 2 4 5 2.</_>
-        <_>
-          7 7 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 1 6 -1.</_>
-        <_>
-          7 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 6 1 -1.</_>
-        <_>
-          11 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 2 -1.</_>
-        <_>
-          8 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          2 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          13 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 4 -1.</_>
-        <_>
-          5 2 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 4 3 -1.</_>
-        <_>
-          15 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 1 2 -1.</_>
-        <_>
-          3 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 2 -1.</_>
-        <_>
-          9 3 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 11 8 -1.</_>
-        <_>
-          7 8 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 4 3 -1.</_>
-        <_>
-          5 4 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 4 -1.</_>
-        <_>
-          11 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 14 10 -1.</_>
-        <_>
-          0 2 7 5 2.</_>
-        <_>
-          7 7 7 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 6 -1.</_>
-        <_>
-          6 0 6 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 12 4 -1.</_>
-        <_>
-          1 2 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 10 6 -1.</_>
-        <_>
-          5 3 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 5 3 -1.</_>
-        <_>
-          6 4 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 4 2 -1.</_>
-        <_>
-          14 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 2 -1.</_>
-        <_>
-          9 6 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 9 1 2 -1.</_>
-        <_>
-          14 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 1 2 -1.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 1 2 -1.</_>
-        <_>
-          15 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 6 1 -1.</_>
-        <_>
-          11 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 6 1 -1.</_>
-        <_>
-          5 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 2 3 -1.</_>
-        <_>
-          12 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 4 -1.</_>
-        <_>
-          5 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 3 -1.</_>
-        <_>
-          10 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          8 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 4 2 -1.</_>
-        <_>
-          11 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 3 -1.</_>
-        <_>
-          6 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          6 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 4 -1.</_>
-        <_>
-          6 1 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 6 2 -1.</_>
-        <_>
-          4 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 4 -1.</_>
-        <_>
-          8 4 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 2 -1.</_>
-        <_>
-          0 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 6 3 -1.</_>
-        <_>
-          11 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 6 3 -1.</_>
-        <_>
-          5 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 2 -1.</_>
-        <_>
-          8 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 2 -1.</_>
-        <_>
-          11 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 11 8 -1.</_>
-        <_>
-          2 2 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 2 2 -1.</_>
-        <_>
-          12 4 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 2 2 -1.</_>
-        <_>
-          6 4 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 8 1 2 -1.</_>
-        <_>
-          15 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 1 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 2 2 -1.</_>
-        <_>
-          16 10 1 1 2.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 12 -1.</_>
-        <_>
-          7 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 14 8 -1.</_>
-        <_>
-          3 2 7 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 6 -1.</_>
-        <_>
-          6 4 6 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 2 2 -1.</_>
-        <_>
-          10 6 1 1 2.</_>
-        <_>
-          9 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 2 -1.</_>
-        <_>
-          9 4 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 2 -1.</_>
-        <_>
-          8 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 2 2 -1.</_>
-        <_>
-          1 10 1 1 2.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          8 5 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 3 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 6 -1.</_>
-        <_>
-          17 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 2 -1.</_>
-        <_>
-          0 0 9 1 2.</_>
-        <_>
-          9 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 6 -1.</_>
-        <_>
-          17 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 1 3 -1.</_>
-        <_>
-          1 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 3 -1.</_>
-        <_>
-          5 3 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 6 3 -1.</_>
-        <_>
-          7 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          8 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 1 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 3 -1.</_>
-        <_>
-          9 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 2 -1.</_>
-        <_>
-          3 1 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 2 -1.</_>
-        <_>
-          9 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 2 3 -1.</_>
-        <_>
-          3 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 10 1 2 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 3 -1.</_>
-        <_>
-          15 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 10 8 -1.</_>
-        <_>
-          0 4 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 4 -1.</_>
-        <_>
-          14 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          4 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 1 -1.</_>
-        <_>
-          5 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 2 1 -1.</_>
-        <_>
-          3 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 10 1 2 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 1 2 -1.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 6 -1.</_>
-        <_>
-          17 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 6 -1.</_>
-        <_>
-          0 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 7 3 -1.</_>
-        <_>
-          6 1 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 2 -1.</_>
-        <_>
-          9 3 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 7 3 -1.</_>
-        <_>
-          7 2 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 4 -1.</_>
-        <_>
-          0 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 1 -1.</_>
-        <_>
-          10 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 2 -1.</_>
-        <_>
-          9 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          0 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 12 2 -1.</_>
-        <_>
-          7 9 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          0 0 9 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 5 6 -1.</_>
-        <_>
-          5 7 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 3 3 -1.</_>
-        <_>
-          13 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 3 -1.</_>
-        <_>
-          5 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 5 -1.</_>
-        <_>
-          14 4 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 6 -1.</_>
-        <_>
-          3 5 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 2 2 -1.</_>
-        <_>
-          12 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 2 2 -1.</_>
-        <_>
-          4 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 3 2 -1.</_>
-        <_>
-          13 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 3 -1.</_>
-        <_>
-          5 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 6 -1.</_>
-        <_>
-          3 2 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 6 3 -1.</_>
-        <_>
-          4 3 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 5 -1.</_>
-        <_>
-          14 4 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 2 -1.</_>
-        <_>
-          16 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 3 -1.</_>
-        <_>
-          2 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 10 -1.</_>
-        <_>
-          16 2 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 10 -1.</_>
-        <_>
-          1 2 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 1 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 3 -1.</_>
-        <_>
-          4 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 6 3 -1.</_>
-        <_>
-          11 3 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 4 3 -1.</_>
-        <_>
-          14 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 3 -1.</_>
-        <_>
-          2 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 4 -1.</_>
-        <_>
-          11 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 6 -1.</_>
-        <_>
-          5 4 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 4 1 -1.</_>
-        <_>
-          13 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 6 -1.</_>
-        <_>
-          0 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 3 -1.</_>
-        <_>
-          10 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 3 -1.</_>
-        <_>
-          6 0 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 3 6 -1.</_>
-        <_>
-          11 2 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 3 -1.</_>
-        <_>
-          7 2 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 3 -1.</_>
-        <_>
-          11 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          7 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 4 2 -1.</_>
-        <_>
-          5 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 1 4 -1.</_>
-        <_>
-          16 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 5 6 -1.</_>
-        <_>
-          5 2 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 3 -1.</_>
-        <_>
-          10 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 2 -1.</_>
-        <_>
-          8 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 8 1 4 -1.</_>
-        <_>
-          16 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 1 4 -1.</_>
-        <_>
-          1 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 4 -1.</_>
-        <_>
-          13 2 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 7 2 -1.</_>
-        <_>
-          0 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 4 -1.</_>
-        <_>
-          13 2 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 4 -1.</_>
-        <_>
-          5 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 5 2 -1.</_>
-        <_>
-          8 5 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 10 -1.</_>
-        <_>
-          5 2 4 5 2.</_>
-        <_>
-          9 7 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 4 -1.</_>
-        <_>
-          17 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 4 -1.</_>
-        <_>
-          5 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 1 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 2 1 -1.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 12 -1.</_>
-        <_>
-          17 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 10 -1.</_>
-        <_>
-          0 7 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          6 0 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 4 -1.</_>
-        <_>
-          0 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          9 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 3 -1.</_>
-        <_>
-          6 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 8 2 2 -1.</_>
-        <_>
-          16 8 1 1 2.</_>
-        <_>
-          15 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 2 2 -1.</_>
-        <_>
-          1 8 1 1 2.</_>
-        <_>
-          2 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 1 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 2 1 -1.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          0 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 6 8 -1.</_>
-        <_>
-          5 8 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 8 3 -1.</_>
-        <_>
-          6 1 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          3 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 4 1 -1.</_>
-        <_>
-          9 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 1 2 -1.</_>
-        <_>
-          5 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 10 4 -1.</_>
-        <_>
-          5 3 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 2 3 -1.</_>
-        <_>
-          1 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 8 -1.</_>
-        <_>
-          9 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 9 -1.</_>
-        <_>
-          0 0 9 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 15 8 -1.</_>
-        <_>
-          5 4 5 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 3 -1.</_>
-        <_>
-          13 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 14 10 -1.</_>
-        <_>
-          7 2 7 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 4 -1.</_>
-        <_>
-          14 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 2 -1.</_>
-        <_>
-          5 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 6 2 -1.</_>
-        <_>
-          12 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 4 -1.</_>
-        <_>
-          4 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 4 -1.</_>
-        <_>
-          14 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          4 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 2 -1.</_>
-        <_>
-          10 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 4 2 -1.</_>
-        <_>
-          5 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 4 3 -1.</_>
-        <_>
-          12 3 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 4 -1.</_>
-        <_>
-          6 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 4 -1.</_>
-        <_>
-          17 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 2 -1.</_>
-        <_>
-          3 1 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 3 -1.</_>
-        <_>
-          15 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 1 3 -1.</_>
-        <_>
-          1 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 2 -1.</_>
-        <_>
-          8 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 3 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 4 -1.</_>
-        <_>
-          17 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 4 -1.</_>
-        <_>
-          0 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 3 -1.</_>
-        <_>
-          8 4 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 1 -1.</_>
-        <_>
-          16 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 3 -1.</_>
-        <_>
-          16 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 3 -1.</_>
-        <_>
-          0 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          8 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 6 2 -1.</_>
-        <_>
-          9 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 8 -1.</_>
-        <_>
-          0 2 9 4 2.</_>
-        <_>
-          9 6 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 6 2 -1.</_>
-        <_>
-          7 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 4 4 -1.</_>
-        <_>
-          8 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 3 -1.</_>
-        <_>
-          5 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 4 2 -1.</_>
-        <_>
-          9 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 4 2 -1.</_>
-        <_>
-          7 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          11 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          6 10 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 4 3 -1.</_>
-        <_>
-          10 1 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 1 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 10 4 -1.</_>
-        <_>
-          7 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 10 4 -1.</_>
-        <_>
-          6 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 1 -1.</_>
-        <_>
-          13 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 6 -1.</_>
-        <_>
-          0 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 3 -1.</_>
-        <_>
-          13 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          5 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 1 -1.</_>
-        <_>
-          4 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 2 -1.</_>
-        <_>
-          4 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 5 8 -1.</_>
-        <_>
-          9 2 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 2 -1.</_>
-        <_>
-          7 3 1 1 2.</_>
-        <_>
-          8 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 2 -1.</_>
-        <_>
-          9 5 9 1 2.</_>
-        <_>
-          0 6 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 1 -1.</_>
-        <_>
-          1 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 2 -1.</_>
-        <_>
-          0 10 1 1 2.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 3 -1.</_>
-        <_>
-          5 3 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 2 -1.</_>
-        <_>
-          0 9 1 1 2.</_>
-        <_>
-          1 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 4 3 -1.</_>
-        <_>
-          11 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 6 -1.</_>
-        <_>
-          7 3 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 6 3 -1.</_>
-        <_>
-          11 3 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 10 -1.</_>
-        <_>
-          14 5 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 11 8 -1.</_>
-        <_>
-          6 8 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 9 -1.</_>
-        <_>
-          3 5 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 3 -1.</_>
-        <_>
-          11 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 4 7 -1.</_>
-        <_>
-          2 4 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 3 -1.</_>
-        <_>
-          16 8 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 1 -1.</_>
-        <_>
-          1 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 3 -1.</_>
-        <_>
-          11 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          6 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 12 2 -1.</_>
-        <_>
-          3 11 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 3 -1.</_>
-        <_>
-          5 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 10 3 -1.</_>
-        <_>
-          0 5 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 11 -1.</_>
-        <_>
-          4 0 4 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 3 -1.</_>
-        <_>
-          9 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 3 -1.</_>
-        <_>
-          7 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 5 -1.</_>
-        <_>
-          6 0 6 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 7 4 -1.</_>
-        <_>
-          4 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 2 -1.</_>
-        <_>
-          10 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 2 -1.</_>
-        <_>
-          16 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 4 1 -1.</_>
-        <_>
-          1 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 6 -1.</_>
-        <_>
-          6 3 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 4 1 -1.</_>
-        <_>
-          8 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 4 -1.</_>
-        <_>
-          16 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 11 6 -1.</_>
-        <_>
-          3 4 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 2 -1.</_>
-        <_>
-          10 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 2 -1.</_>
-        <_>
-          5 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 11 -1.</_>
-        <_>
-          2 0 8 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 14 12 -1.</_>
-        <_>
-          4 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 5 -1.</_>
-        <_>
-          6 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 4 -1.</_>
-        <_>
-          16 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 4 -1.</_>
-        <_>
-          0 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 6 4 -1.</_>
-        <_>
-          7 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 3 -1.</_>
-        <_>
-          4 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 8 8 -1.</_>
-        <_>
-          11 2 4 4 2.</_>
-        <_>
-          7 6 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 4 -1.</_>
-        <_>
-          0 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 8 8 -1.</_>
-        <_>
-          11 2 4 4 2.</_>
-        <_>
-          7 6 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 8 8 -1.</_>
-        <_>
-          3 2 4 4 2.</_>
-        <_>
-          7 6 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 1 6 -1.</_>
-        <_>
-          17 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 6 -1.</_>
-        <_>
-          0 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          9 5 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 5 3 -1.</_>
-        <_>
-          6 4 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 3 -1.</_>
-        <_>
-          9 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 4 5 -1.</_>
-        <_>
-          3 4 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 3 -1.</_>
-        <_>
-          12 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 3 -1.</_>
-        <_>
-          6 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 10 6 1 -1.</_>
-        <_>
-          9 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 12 -1.</_>
-        <_>
-          7 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 1 2 -1.</_>
-        <_>
-          14 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 9 1 -1.</_>
-        <_>
-          12 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 4 -1.</_>
-        <_>
-          9 4 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 3 -1.</_>
-        <_>
-          1 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 11 3 -1.</_>
-        <_>
-          4 3 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 2 1 -1.</_>
-        <_>
-          4 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 8 -1.</_>
-        <_>
-          17 3 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 3 -1.</_>
-        <_>
-          0 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 9 10 -1.</_>
-        <_>
-          8 2 3 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          8 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 8 -1.</_>
-        <_>
-          6 1 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 2 -1.</_>
-        <_>
-          8 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          9 0 9 5 2.</_>
-        <_>
-          0 5 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 2 -1.</_>
-        <_>
-          8 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 1 -1.</_>
-        <_>
-          7 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 3 -1.</_>
-        <_>
-          16 2 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 1 3 -1.</_>
-        <_>
-          7 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 4 1 -1.</_>
-        <_>
-          13 4 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 2 -1.</_>
-        <_>
-          5 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 2 -1.</_>
-        <_>
-          15 10 1 1 2.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 2 -1.</_>
-        <_>
-          2 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 1 -1.</_>
-        <_>
-          15 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 6 2 -1.</_>
-        <_>
-          7 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 2 -1.</_>
-        <_>
-          0 9 1 1 2.</_>
-        <_>
-          1 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 2 -1.</_>
-        <_>
-          0 9 1 1 2.</_>
-        <_>
-          1 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 4 -1.</_>
-        <_>
-          0 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 6 1 -1.</_>
-        <_>
-          4 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 1 -1.</_>
-        <_>
-          15 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 4 1 -1.</_>
-        <_>
-          1 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 16 8 -1.</_>
-        <_>
-          10 4 8 4 2.</_>
-        <_>
-          2 8 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 4 -1.</_>
-        <_>
-          6 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 9 3 -1.</_>
-        <_>
-          3 1 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 3 -1.</_>
-        <_>
-          15 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          0 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 3 -1.</_>
-        <_>
-          15 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 3 -1.</_>
-        <_>
-          3 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 1 4 -1.</_>
-        <_>
-          9 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 6 8 -1.</_>
-        <_>
-          5 4 3 4 2.</_>
-        <_>
-          8 8 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          8 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 1 -1.</_>
-        <_>
-          8 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 1 -1.</_>
-        <_>
-          10 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 3 -1.</_>
-        <_>
-          0 2 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          10 0 2 2 2.</_>
-        <_>
-          8 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 8 -1.</_>
-        <_>
-          9 0 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 6 -1.</_>
-        <_>
-          14 4 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 8 -1.</_>
-        <_>
-          0 4 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          10 0 2 2 2.</_>
-        <_>
-          8 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 6 2 -1.</_>
-        <_>
-          4 4 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 3 2 -1.</_>
-        <_>
-          13 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 6 -1.</_>
-        <_>
-          5 3 4 3 2.</_>
-        <_>
-          9 6 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 3 2 -1.</_>
-        <_>
-          3 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 2 1 3 -1.</_>
-        <_>
-          16 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 4 -1.</_>
-        <_>
-          6 0 2 2 2.</_>
-        <_>
-          8 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 4 -1.</_>
-        <_>
-          14 1 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 6 -1.</_>
-        <_>
-          3 5 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 4 -1.</_>
-        <_>
-          14 1 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 3 -1.</_>
-        <_>
-          4 1 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 3 -1.</_>
-        <_>
-          6 3 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 8 -1.</_>
-        <_>
-          4 2 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 10 2 -1.</_>
-        <_>
-          8 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 10 2 -1.</_>
-        <_>
-          5 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 6 -1.</_>
-        <_>
-          6 4 6 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 6 4 -1.</_>
-        <_>
-          12 10 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 4 -1.</_>
-        <_>
-          8 5 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 1 6 -1.</_>
-        <_>
-          14 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 6 -1.</_>
-        <_>
-          16 6 2 3 2.</_>
-        <_>
-          14 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 4 6 -1.</_>
-        <_>
-          0 6 2 3 2.</_>
-        <_>
-          2 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 4 -1.</_>
-        <_>
-          13 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          5 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 14 6 -1.</_>
-        <_>
-          8 4 7 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 9 6 -1.</_>
-        <_>
-          6 5 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 1 2 -1.</_>
-        <_>
-          1 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 8 1 -1.</_>
-        <_>
-          8 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 3 -1.</_>
-        <_>
-          6 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 9 4 -1.</_>
-        <_>
-          5 6 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 1 2 -1.</_>
-        <_>
-          2 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          9 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 1 3 -1.</_>
-        <_>
-          1 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 4 -1.</_>
-        <_>
-          9 0 8 2 2.</_>
-        <_>
-          1 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 1 3 -1.</_>
-        <_>
-          2 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 4 -1.</_>
-        <_>
-          13 2 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 4 -1.</_>
-        <_>
-          5 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 1 2 -1.</_>
-        <_>
-          14 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 2 1 -1.</_>
-        <_>
-          4 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 3 -1.</_>
-        <_>
-          12 4 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 5 -1.</_>
-        <_>
-          6 4 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 3 5 -1.</_>
-        <_>
-          15 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 3 5 -1.</_>
-        <_>
-          2 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 5 -1.</_>
-        <_>
-          12 0 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 5 -1.</_>
-        <_>
-          5 0 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 10 -1.</_>
-        <_>
-          14 0 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 8 2 -1.</_>
-        <_>
-          6 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 4 -1.</_>
-        <_>
-          6 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 5 2 -1.</_>
-        <_>
-          13 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 1 -1.</_>
-        <_>
-          5 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 8 1 -1.</_>
-        <_>
-          8 11 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 2 1 -1.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 9 -1.</_>
-        <_>
-          17 3 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 2 -1.</_>
-        <_>
-          11 4 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 4 4 -1.</_>
-        <_>
-          8 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 6 9 -1.</_>
-        <_>
-          2 1 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 10 -1.</_>
-        <_>
-          14 1 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 4 2 -1.</_>
-        <_>
-          4 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 16 6 -1.</_>
-        <_>
-          10 3 8 3 2.</_>
-        <_>
-          2 6 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 2 2 -1.</_>
-        <_>
-          8 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 6 1 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 14 12 -1.</_>
-        <_>
-          8 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 1 -1.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 2 1 -1.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 3 -1.</_>
-        <_>
-          7 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 6 2 -1.</_>
-        <_>
-          0 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 9 -1.</_>
-        <_>
-          17 3 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 9 -1.</_>
-        <_>
-          0 3 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 3 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 3 10 -1.</_>
-        <_>
-          3 1 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 3 -1.</_>
-        <_>
-          13 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 4 -1.</_>
-        <_>
-          5 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 6 5 3 -1.</_>
-        <_>
-          13 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 4 -1.</_>
-        <_>
-          5 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 5 3 -1.</_>
-        <_>
-          13 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 3 -1.</_>
-        <_>
-          7 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 12 3 -1.</_>
-        <_>
-          7 9 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 2 -1.</_>
-        <_>
-          4 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          9 5 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 5 3 -1.</_>
-        <_>
-          0 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 4 3 -1.</_>
-        <_>
-          8 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 8 4 -1.</_>
-        <_>
-          3 6 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 6 -1.</_>
-        <_>
-          16 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 6 -1.</_>
-        <_>
-          0 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 8 4 -1.</_>
-        <_>
-          6 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 6 1 -1.</_>
-        <_>
-          6 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 4 1 -1.</_>
-        <_>
-          10 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 4 1 -1.</_>
-        <_>
-          6 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 11 4 -1.</_>
-        <_>
-          4 2 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 8 -1.</_>
-        <_>
-          0 2 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 4 -1.</_>
-        <_>
-          14 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          4 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 1 -1.</_>
-        <_>
-          9 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 3 -1.</_>
-        <_>
-          0 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 1 -1.</_>
-        <_>
-          11 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 1 -1.</_>
-        <_>
-          11 5 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 9 4 2 -1.</_>
-        <_>
-          14 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 4 1 -1.</_>
-        <_>
-          8 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          8 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          9 7 1 1 2.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 5 2 -1.</_>
-        <_>
-          8 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 2 -1.</_>
-        <_>
-          6 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 1 2 -1.</_>
-        <_>
-          14 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 1 2 -1.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 2 -1.</_>
-        <_>
-          11 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 3 1 -1.</_>
-        <_>
-          6 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 4 -1.</_>
-        <_>
-          11 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 2 -1.</_>
-        <_>
-          15 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 2 -1.</_>
-        <_>
-          0 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 2 -1.</_>
-        <_>
-          11 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 4 2 -1.</_>
-        <_>
-          5 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 14 8 -1.</_>
-        <_>
-          11 2 7 4 2.</_>
-        <_>
-          4 6 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 4 4 -1.</_>
-        <_>
-          1 3 2 2 2.</_>
-        <_>
-          3 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 1 2 -1.</_>
-        <_>
-          0 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 6 2 -1.</_>
-        <_>
-          9 1 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 6 2 -1.</_>
-        <_>
-          7 1 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 2 2 -1.</_>
-        <_>
-          16 10 1 1 2.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 2 2 -1.</_>
-        <_>
-          1 10 1 1 2.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 14 8 -1.</_>
-        <_>
-          11 2 7 4 2.</_>
-        <_>
-          4 6 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 4 4 -1.</_>
-        <_>
-          5 4 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 6 -1.</_>
-        <_>
-          15 4 3 3 2.</_>
-        <_>
-          12 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 12 1 -1.</_>
-        <_>
-          6 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 2 -1.</_>
-        <_>
-          11 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 3 -1.</_>
-        <_>
-          1 3 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 6 6 -1.</_>
-        <_>
-          14 4 3 3 2.</_>
-        <_>
-          11 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 6 6 -1.</_>
-        <_>
-          1 4 3 3 2.</_>
-        <_>
-          4 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 6 3 -1.</_>
-        <_>
-          11 3 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 4 -1.</_>
-        <_>
-          13 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 3 -1.</_>
-        <_>
-          5 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 12 -1.</_>
-        <_>
-          16 6 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 12 -1.</_>
-        <_>
-          0 6 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 8 3 -1.</_>
-        <_>
-          6 0 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 9 -1.</_>
-        <_>
-          6 0 6 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 4 -1.</_>
-        <_>
-          11 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 6 4 -1.</_>
-        <_>
-          0 10 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 4 -1.</_>
-        <_>
-          11 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 4 3 -1.</_>
-        <_>
-          7 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 3 4 3 -1.</_>
-        <_>
-          11 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 4 -1.</_>
-        <_>
-          7 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 4 -1.</_>
-        <_>
-          5 3 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 5 -1.</_>
-        <_>
-          9 0 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 5 -1.</_>
-        <_>
-          8 0 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 3 -1.</_>
-        <_>
-          12 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 3 -1.</_>
-        <_>
-          7 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 12 -1.</_>
-        <_>
-          6 0 6 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 12 -1.</_>
-        <_>
-          7 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 8 1 -1.</_>
-        <_>
-          5 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 7 6 -1.</_>
-        <_>
-          5 3 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          7 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 6 4 -1.</_>
-        <_>
-          0 2 3 2 2.</_>
-        <_>
-          3 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 2 -1.</_>
-        <_>
-          16 9 1 1 2.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 4 -1.</_>
-        <_>
-          14 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 2 4 -1.</_>
-        <_>
-          2 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 4 -1.</_>
-        <_>
-          12 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 10 12 2 -1.</_>
-        <_>
-          3 11 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 4 -1.</_>
-        <_>
-          12 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 3 -1.</_>
-        <_>
-          6 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 10 6 2 -1.</_>
-        <_>
-          11 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 6 2 -1.</_>
-        <_>
-          5 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 8 8 -1.</_>
-        <_>
-          10 3 4 4 2.</_>
-        <_>
-          6 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 3 2 -1.</_>
-        <_>
-          2 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 5 3 -1.</_>
-        <_>
-          7 8 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 3 -1.</_>
-        <_>
-          0 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 2 -1.</_>
-        <_>
-          11 3 1 1 2.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 9 3 -1.</_>
-        <_>
-          3 1 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 4 -1.</_>
-        <_>
-          17 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 7 2 -1.</_>
-        <_>
-          5 2 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 8 4 -1.</_>
-        <_>
-          7 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 3 -1.</_>
-        <_>
-          0 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 8 -1.</_>
-        <_>
-          11 2 6 4 2.</_>
-        <_>
-          5 6 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 8 8 -1.</_>
-        <_>
-          4 3 4 4 2.</_>
-        <_>
-          8 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 3 -1.</_>
-        <_>
-          8 5 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 12 -1.</_>
-        <_>
-          13 0 1 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 10 -1.</_>
-        <_>
-          13 0 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 1 2 -1.</_>
-        <_>
-          6 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 5 1 6 -1.</_>
-        <_>
-          16 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 12 2 -1.</_>
-        <_>
-          7 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 7 3 -1.</_>
-        <_>
-          8 3 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 1 -1.</_>
-        <_>
-          10 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 4 1 -1.</_>
-        <_>
-          6 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 6 1 -1.</_>
-        <_>
-          6 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 7 -1.</_>
-        <_>
-          16 4 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 4 -1.</_>
-        <_>
-          4 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 6 -1.</_>
-        <_>
-          11 0 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 4 -1.</_>
-        <_>
-          6 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 6 -1.</_>
-        <_>
-          17 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 6 -1.</_>
-        <_>
-          0 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 7 -1.</_>
-        <_>
-          16 4 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 7 -1.</_>
-        <_>
-          1 4 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 2 2 -1.</_>
-        <_>
-          13 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 2 -1.</_>
-        <_>
-          5 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 15 3 -1.</_>
-        <_>
-          8 2 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 2 -1.</_>
-        <_>
-          5 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 2 -1.</_>
-        <_>
-          12 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 10 3 -1.</_>
-        <_>
-          7 1 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 16 3 -1.</_>
-        <_>
-          6 1 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 3 -1.</_>
-        <_>
-          8 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 3 -1.</_>
-        <_>
-          12 6 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 8 2 -1.</_>
-        <_>
-          0 7 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 2 2 -1.</_>
-        <_>
-          16 8 1 1 2.</_>
-        <_>
-          15 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 2 2 -1.</_>
-        <_>
-          1 8 1 1 2.</_>
-        <_>
-          2 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 2 6 -1.</_>
-        <_>
-          15 5 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 2 6 -1.</_>
-        <_>
-          2 5 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 1 2 -1.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 2 -1.</_>
-        <_>
-          10 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 1 2 -1.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 2 -1.</_>
-        <_>
-          12 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 8 6 -1.</_>
-        <_>
-          4 6 4 3 2.</_>
-        <_>
-          8 9 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 2 -1.</_>
-        <_>
-          12 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 3 -1.</_>
-        <_>
-          6 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 9 1 3 -1.</_>
-        <_>
-          15 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 2 -1.</_>
-        <_>
-          6 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 5 -1.</_>
-        <_>
-          8 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          0 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 2 2 -1.</_>
-        <_>
-          6 3 1 1 2.</_>
-        <_>
-          7 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 2 -1.</_>
-        <_>
-          11 3 1 1 2.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 12 8 -1.</_>
-        <_>
-          1 2 6 4 2.</_>
-        <_>
-          7 6 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 16 3 -1.</_>
-        <_>
-          5 9 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 2 -1.</_>
-        <_>
-          5 10 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 4 1 -1.</_>
-        <_>
-          8 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 11 4 -1.</_>
-        <_>
-          0 2 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          9 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 1 -1.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 4 -1.</_>
-        <_>
-          9 4 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 11 -1.</_>
-        <_>
-          8 1 2 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 8 -1.</_>
-        <_>
-          16 6 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 6 -1.</_>
-        <_>
-          0 3 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 2 -1.</_>
-        <_>
-          11 3 1 1 2.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 2 2 -1.</_>
-        <_>
-          6 3 1 1 2.</_>
-        <_>
-          7 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 2 -1.</_>
-        <_>
-          8 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 2 -1.</_>
-        <_>
-          10 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 16 2 -1.</_>
-        <_>
-          4 0 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 14 12 -1.</_>
-        <_>
-          11 0 7 6 2.</_>
-        <_>
-          4 6 7 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 8 -1.</_>
-        <_>
-          9 0 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 6 -1.</_>
-        <_>
-          7 3 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 12 -1.</_>
-        <_>
-          0 0 7 6 2.</_>
-        <_>
-          7 6 7 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 8 4 -1.</_>
-        <_>
-          14 5 4 2 2.</_>
-        <_>
-          10 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 8 4 -1.</_>
-        <_>
-          0 5 4 2 2.</_>
-        <_>
-          4 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 3 -1.</_>
-        <_>
-          12 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 3 4 -1.</_>
-        <_>
-          6 2 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 3 -1.</_>
-        <_>
-          13 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 4 -1.</_>
-        <_>
-          5 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 1 2 -1.</_>
-        <_>
-          14 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 1 2 -1.</_>
-        <_>
-          3 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 2 -1.</_>
-        <_>
-          16 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 11 4 1 -1.</_>
-        <_>
-          4 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 14 9 -1.</_>
-        <_>
-          7 2 7 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 2 -1.</_>
-        <_>
-          11 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 2 -1.</_>
-        <_>
-          7 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 2 -1.</_>
-        <_>
-          12 0 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 2 1 -1.</_>
-        <_>
-          4 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 1 2 -1.</_>
-        <_>
-          15 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 11 -1.</_>
-        <_>
-          4 0 1 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 4 -1.</_>
-        <_>
-          14 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 6 -1.</_>
-        <_>
-          4 9 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 4 -1.</_>
-        <_>
-          13 1 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 2 -1.</_>
-        <_>
-          4 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 4 -1.</_>
-        <_>
-          13 1 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 4 -1.</_>
-        <_>
-          5 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 2 -1.</_>
-        <_>
-          16 10 2 1 2.</_>
-        <_>
-          14 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 4 2 -1.</_>
-        <_>
-          0 10 2 1 2.</_>
-        <_>
-          2 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 8 2 -1.</_>
-        <_>
-          14 9 4 1 2.</_>
-        <_>
-          10 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 3 -1.</_>
-        <_>
-          2 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          9 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          8 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 6 -1.</_>
-        <_>
-          0 1 2 3 2.</_>
-        <_>
-          2 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 11 8 -1.</_>
-        <_>
-          7 8 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 6 -1.</_>
-        <_>
-          12 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 6 -1.</_>
-        <_>
-          0 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 8 -1.</_>
-        <_>
-          9 4 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 12 2 -1.</_>
-        <_>
-          3 11 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 4 -1.</_>
-        <_>
-          5 4 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 4 -1.</_>
-        <_>
-          14 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 2 -1.</_>
-        <_>
-          5 4 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 3 -1.</_>
-        <_>
-          6 0 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 6 6 -1.</_>
-        <_>
-          4 3 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 1 4 -1.</_>
-        <_>
-          8 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 4 -1.</_>
-        <_>
-          6 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 7 -1.</_>
-        <_>
-          12 1 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 7 3 -1.</_>
-        <_>
-          6 1 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 9 1 2 -1.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 1 2 -1.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 1 6 -1.</_>
-        <_>
-          17 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 6 -1.</_>
-        <_>
-          0 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          6 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 9 2 -1.</_>
-        <_>
-          3 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 3 -1.</_>
-        <_>
-          9 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 6 2 -1.</_>
-        <_>
-          12 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 6 2 -1.</_>
-        <_>
-          4 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 14 12 -1.</_>
-        <_>
-          4 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 6 5 -1.</_>
-        <_>
-          13 5 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 16 9 -1.</_>
-        <_>
-          4 3 8 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 12 -1.</_>
-        <_>
-          6 0 6 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 12 -1.</_>
-        <_>
-          6 0 6 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 10 -1.</_>
-        <_>
-          5 1 4 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 2 -1.</_>
-        <_>
-          6 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 2 6 -1.</_>
-        <_>
-          10 4 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 8 1 3 -1.</_>
-        <_>
-          1 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 3 -1.</_>
-        <_>
-          5 1 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 12 5 -1.</_>
-        <_>
-          4 5 4 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 6 3 -1.</_>
-        <_>
-          11 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 6 2 -1.</_>
-        <_>
-          6 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 4 4 -1.</_>
-        <_>
-          9 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 3 -1.</_>
-        <_>
-          2 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 1 -1.</_>
-        <_>
-          15 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 10 -1.</_>
-        <_>
-          0 5 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 2 -1.</_>
-        <_>
-          14 1 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 2 4 -1.</_>
-        <_>
-          4 1 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 9 -1.</_>
-        <_>
-          3 3 12 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 4 3 -1.</_>
-        <_>
-          5 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 3 -1.</_>
-        <_>
-          2 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 9 -1.</_>
-        <_>
-          14 1 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 4 -1.</_>
-        <_>
-          7 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 8 -1.</_>
-        <_>
-          7 3 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 8 1 -1.</_>
-        <_>
-          11 3 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 8 -1.</_>
-        <_>
-          9 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 6 9 -1.</_>
-        <_>
-          2 1 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 3 -1.</_>
-        <_>
-          11 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 1 3 -1.</_>
-        <_>
-          4 5 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          9 5 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 2 -1.</_>
-        <_>
-          8 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 2 -1.</_>
-        <_>
-          9 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 5 -1.</_>
-        <_>
-          7 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          9 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 1 -1.</_>
-        <_>
-          9 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 3 6 4 -1.</_>
-        <_>
-          15 3 3 2 2.</_>
-        <_>
-          12 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 6 4 -1.</_>
-        <_>
-          0 3 3 2 2.</_>
-        <_>
-          3 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 4 3 -1.</_>
-        <_>
-          12 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 4 -1.</_>
-        <_>
-          6 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 12 4 -1.</_>
-        <_>
-          7 8 4 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 1 3 -1.</_>
-        <_>
-          5 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 4 -1.</_>
-        <_>
-          14 5 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 3 -1.</_>
-        <_>
-          6 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          16 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 2 -1.</_>
-        <_>
-          0 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 1 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 2 1 -1.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 1 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 2 1 -1.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 6 2 -1.</_>
-        <_>
-          11 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 2 -1.</_>
-        <_>
-          5 10 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 2 -1.</_>
-        <_>
-          8 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 3 3 -1.</_>
-        <_>
-          3 2 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 5 -1.</_>
-        <_>
-          9 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 10 -1.</_>
-        <_>
-          0 1 9 5 2.</_>
-        <_>
-          9 6 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 1 -1.</_>
-        <_>
-          15 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 4 12 4 -1.</_>
-        <_>
-          5 4 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 3 -1.</_>
-        <_>
-          7 2 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 6 3 -1.</_>
-        <_>
-          3 6 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 4 9 -1.</_>
-        <_>
-          13 3 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 4 9 -1.</_>
-        <_>
-          3 3 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 10 1 -1.</_>
-        <_>
-          7 11 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 14 3 -1.</_>
-        <_>
-          7 9 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          5 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          9 2 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 1 -1.</_>
-        <_>
-          11 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 11 4 1 -1.</_>
-        <_>
-          6 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 2 -1.</_>
-        <_>
-          15 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 3 -1.</_>
-        <_>
-          11 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 3 -1.</_>
-        <_>
-          5 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 4 1 -1.</_>
-        <_>
-          12 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 12 6 -1.</_>
-        <_>
-          4 4 4 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 4 -1.</_>
-        <_>
-          9 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 4 -1.</_>
-        <_>
-          0 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 2 -1.</_>
-        <_>
-          9 0 7 1 2.</_>
-        <_>
-          2 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 1 2 -1.</_>
-        <_>
-          6 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 5 4 -1.</_>
-        <_>
-          7 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 4 1 -1.</_>
-        <_>
-          4 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 6 2.</_>
-        <_>
-          0 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 5 3 -1.</_>
-        <_>
-          0 8 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 2 -1.</_>
-        <_>
-          8 11 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 2 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 9 6 -1.</_>
-        <_>
-          9 5 3 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 6 4 -1.</_>
-        <_>
-          7 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 8 3 -1.</_>
-        <_>
-          8 5 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 8 3 -1.</_>
-        <_>
-          6 5 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 3 -1.</_>
-        <_>
-          6 0 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 1 3 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          15 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 7 -1.</_>
-        <_>
-          6 3 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 4 -1.</_>
-        <_>
-          12 5 2 2 2.</_>
-        <_>
-          10 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 4 -1.</_>
-        <_>
-          4 5 2 2 2.</_>
-        <_>
-          6 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 3 -1.</_>
-        <_>
-          12 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          6 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 4 4 -1.</_>
-        <_>
-          11 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 8 -1.</_>
-        <_>
-          9 1 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 3 -1.</_>
-        <_>
-          5 1 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 5 -1.</_>
-        <_>
-          5 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 3 -1.</_>
-        <_>
-          5 3 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 2 -1.</_>
-        <_>
-          7 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 1 -1.</_>
-        <_>
-          10 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 1 -1.</_>
-        <_>
-          5 0 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          11 9 1 1 2.</_>
-        <_>
-          10 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 10 8 -1.</_>
-        <_>
-          0 2 5 4 2.</_>
-        <_>
-          5 6 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 6 8 -1.</_>
-        <_>
-          7 8 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 4 -1.</_>
-        <_>
-          0 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 3 2 -1.</_>
-        <_>
-          9 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          9 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 1 -1.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 1 -1.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 2 -1.</_>
-        <_>
-          6 9 1 1 2.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          6 11 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 6 1 -1.</_>
-        <_>
-          5 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 1 3 -1.</_>
-        <_>
-          11 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 1 3 -1.</_>
-        <_>
-          6 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 3 2 -1.</_>
-        <_>
-          13 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 3 -1.</_>
-        <_>
-          5 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 4 6 -1.</_>
-        <_>
-          14 4 2 3 2.</_>
-        <_>
-          12 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 4 6 -1.</_>
-        <_>
-          2 4 2 3 2.</_>
-        <_>
-          4 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 1 2 -1.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 2 -1.</_>
-        <_>
-          8 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 4 3 -1.</_>
-        <_>
-          12 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 3 -1.</_>
-        <_>
-          0 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 5 3 -1.</_>
-        <_>
-          12 3 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 4 -1.</_>
-        <_>
-          6 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 3 1 -1.</_>
-        <_>
-          11 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 2 -1.</_>
-        <_>
-          3 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 3 1 -1.</_>
-        <_>
-          11 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 2 -1.</_>
-        <_>
-          5 2 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 3 1 -1.</_>
-        <_>
-          6 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 4 -1.</_>
-        <_>
-          9 0 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 2 -1.</_>
-        <_>
-          9 3 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 3 3 -1.</_>
-        <_>
-          8 3 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 2 -1.</_>
-        <_>
-          8 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 1 -1.</_>
-        <_>
-          11 5 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 2 -1.</_>
-        <_>
-          8 2 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 10 4 -1.</_>
-        <_>
-          3 4 5 2 2.</_>
-        <_>
-          8 6 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          15 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 1 -1.</_>
-        <_>
-          5 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 1 -1.</_>
-        <_>
-          12 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 1 -1.</_>
-        <_>
-          5 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 6 -1.</_>
-        <_>
-          16 4 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 8 2 -1.</_>
-        <_>
-          7 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 2 -1.</_>
-        <_>
-          9 6 1 1 2.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 4 2 -1.</_>
-        <_>
-          5 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 7 3 -1.</_>
-        <_>
-          11 7 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 7 3 -1.</_>
-        <_>
-          0 7 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 2 -1.</_>
-        <_>
-          16 9 1 1 2.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 2 -1.</_>
-        <_>
-          2 10 1 1 2.</_>
-        <_>
-          3 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 11 3 1 -1.</_>
-        <_>
-          15 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 3 1 -1.</_>
-        <_>
-          2 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 1 2 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 1 2 -1.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 3 -1.</_>
-        <_>
-          6 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 4 -1.</_>
-        <_>
-          8 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 4 4 -1.</_>
-        <_>
-          2 3 2 2 2.</_>
-        <_>
-          4 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 2 2 -1.</_>
-        <_>
-          15 6 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 2 -1.</_>
-        <_>
-          3 6 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 12 4 -1.</_>
-        <_>
-          4 4 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 4 2 -1.</_>
-        <_>
-          2 5 2 1 2.</_>
-        <_>
-          4 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 2 -1.</_>
-        <_>
-          11 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 4 3 -1.</_>
-        <_>
-          6 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 10 4 -1.</_>
-        <_>
-          3 3 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 6 6 -1.</_>
-        <_>
-          12 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 3 2 -1.</_>
-        <_>
-          5 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 1 2 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 1 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 2 -1.</_>
-        <_>
-          10 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 9 2 1 -1.</_>
-        <_>
-          3 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          11 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 3 -1.</_>
-        <_>
-          8 4 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          11 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          6 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 4 -1.</_>
-        <_>
-          1 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 4 -1.</_>
-        <_>
-          0 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 6 -1.</_>
-        <_>
-          14 4 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 6 -1.</_>
-        <_>
-          6 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 6 -1.</_>
-        <_>
-          7 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 16 7 -1.</_>
-        <_>
-          8 4 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 8 6 -1.</_>
-        <_>
-          10 4 4 3 2.</_>
-        <_>
-          6 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 3 -1.</_>
-        <_>
-          4 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 3 -1.</_>
-        <_>
-          10 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 3 -1.</_>
-        <_>
-          6 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 6 -1.</_>
-        <_>
-          15 4 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 6 2 -1.</_>
-        <_>
-          3 4 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 14 12 -1.</_>
-        <_>
-          4 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 12 -1.</_>
-        <_>
-          4 0 4 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 3 -1.</_>
-        <_>
-          15 3 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 3 1 -1.</_>
-        <_>
-          4 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 3 -1.</_>
-        <_>
-          14 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 6 -1.</_>
-        <_>
-          5 2 5 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 3 -1.</_>
-        <_>
-          10 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 14 8 -1.</_>
-        <_>
-          0 2 7 4 2.</_>
-        <_>
-          7 6 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 1 2 -1.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 2 -1.</_>
-        <_>
-          0 9 1 1 2.</_>
-        <_>
-          1 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 3 3 -1.</_>
-        <_>
-          13 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          7 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          10 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 4 -1.</_>
-        <_>
-          0 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 2 2 -1.</_>
-        <_>
-          10 6 1 1 2.</_>
-        <_>
-          9 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 2 -1.</_>
-        <_>
-          7 6 1 1 2.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 5 2 -1.</_>
-        <_>
-          7 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 12 -1.</_>
-        <_>
-          4 0 1 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 6 3 -1.</_>
-        <_>
-          9 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 6 3 -1.</_>
-        <_>
-          7 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_>
-        <_>
-          9 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 2 -1.</_>
-        <_>
-          3 0 5 1 2.</_>
-        <_>
-          8 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          6 10 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 16 1 -1.</_>
-        <_>
-          6 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 4 1 -1.</_>
-        <_>
-          5 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 10 10 -1.</_>
-        <_>
-          7 2 5 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 8 5 -1.</_>
-        <_>
-          7 2 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 8 5 -1.</_>
-        <_>
-          7 2 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 2 -1.</_>
-        <_>
-          2 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 1 2 -1.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 2 -1.</_>
-        <_>
-          8 11 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 3 -1.</_>
-        <_>
-          9 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 9 3 -1.</_>
-        <_>
-          0 7 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 5 -1.</_>
-        <_>
-          12 0 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 5 -1.</_>
-        <_>
-          5 0 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          0 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 14 11 -1.</_>
-        <_>
-          7 1 7 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          0 0 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 9 6 -1.</_>
-        <_>
-          3 3 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 1 -1.</_>
-        <_>
-          11 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 2 -1.</_>
-        <_>
-          17 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 2 2 -1.</_>
-        <_>
-          1 8 1 1 2.</_>
-        <_>
-          2 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 3 -1.</_>
-        <_>
-          9 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 3 3 -1.</_>
-        <_>
-          2 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 8 3 -1.</_>
-        <_>
-          5 9 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 6 2 -1.</_>
-        <_>
-          0 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 2 -1.</_>
-        <_>
-          16 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 5 3 -1.</_>
-        <_>
-          6 4 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 1 -1.</_>
-        <_>
-          11 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 2 -1.</_>
-        <_>
-          9 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 3 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          9 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 2 -1.</_>
-        <_>
-          15 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          11 2 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 3 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 3 1 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 16 1 -1.</_>
-        <_>
-          6 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 1 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 4 5 3 -1.</_>
-        <_>
-          12 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 4 -1.</_>
-        <_>
-          5 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 2 -1.</_>
-        <_>
-          15 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 4 -1.</_>
-        <_>
-          0 2 9 2 2.</_>
-        <_>
-          9 4 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 1 -1.</_>
-        <_>
-          10 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 2 -1.</_>
-        <_>
-          5 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 7 1 4 -1.</_>
-        <_>
-          17 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 3 -1.</_>
-        <_>
-          8 5 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 3 -1.</_>
-        <_>
-          16 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 4 -1.</_>
-        <_>
-          0 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 2 -1.</_>
-        <_>
-          10 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 1 6 -1.</_>
-        <_>
-          8 3 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 8 5 -1.</_>
-        <_>
-          9 4 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 8 5 -1.</_>
-        <_>
-          5 4 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 1 -1.</_>
-        <_>
-          10 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 4 1 -1.</_>
-        <_>
-          6 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 4 6 -1.</_>
-        <_>
-          15 6 2 3 2.</_>
-        <_>
-          13 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 4 6 -1.</_>
-        <_>
-          1 6 2 3 2.</_>
-        <_>
-          3 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 10 4 -1.</_>
-        <_>
-          10 6 5 2 2.</_>
-        <_>
-          5 8 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 3 7 -1.</_>
-        <_>
-          3 3 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 3 -1.</_>
-        <_>
-          9 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 6 1 -1.</_>
-        <_>
-          8 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 9 -1.</_>
-        <_>
-          13 4 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 3 -1.</_>
-        <_>
-          0 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 9 6 -1.</_>
-        <_>
-          6 6 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 6 -1.</_>
-        <_>
-          4 9 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 2 4 -1.</_>
-        <_>
-          4 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 1 2 -1.</_>
-        <_>
-          2 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 3 -1.</_>
-        <_>
-          16 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 9 -1.</_>
-        <_>
-          1 3 1 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 2 -1.</_>
-        <_>
-          16 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 2 3 -1.</_>
-        <_>
-          2 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 12 4 -1.</_>
-        <_>
-          6 2 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 3 -1.</_>
-        <_>
-          5 3 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 1 -1.</_>
-        <_>
-          12 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 2 -1.</_>
-        <_>
-          6 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 10 1 -1.</_>
-        <_>
-          8 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 10 1 -1.</_>
-        <_>
-          5 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 2 -1.</_>
-        <_>
-          0 9 1 1 2.</_>
-        <_>
-          1 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 4 -1.</_>
-        <_>
-          15 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 1 -1.</_>
-        <_>
-          1 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 1 -1.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          8 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 1 -1.</_>
-        <_>
-          5 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 4 -1.</_>
-        <_>
-          15 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 4 2 -1.</_>
-        <_>
-          3 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 4 1 2 -1.</_>
-        <_>
-          15 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 2 1 -1.</_>
-        <_>
-          3 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 1 -1.</_>
-        <_>
-          1 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 11 3 1 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_>
-        <_>
-          11 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 3 -1.</_>
-        <_>
-          6 9 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 2 -1.</_>
-        <_>
-          10 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 1 3 -1.</_>
-        <_>
-          8 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 6 -1.</_>
-        <_>
-          8 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 1 3 -1.</_>
-        <_>
-          8 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 1 3 -1.</_>
-        <_>
-          14 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 1 3 -1.</_>
-        <_>
-          3 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 4 3 -1.</_>
-        <_>
-          14 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 8 -1.</_>
-        <_>
-          9 4 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 1 -1.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 9 2 -1.</_>
-        <_>
-          5 4 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 8 3 -1.</_>
-        <_>
-          10 6 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 1 2 -1.</_>
-        <_>
-          3 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 2 -1.</_>
-        <_>
-          11 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 2 -1.</_>
-        <_>
-          4 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 3 1 -1.</_>
-        <_>
-          13 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 1 3 -1.</_>
-        <_>
-          5 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 4 5 3 -1.</_>
-        <_>
-          12 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 5 -1.</_>
-        <_>
-          6 5 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 3 -1.</_>
-        <_>
-          12 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          9 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 4 -1.</_>
-        <_>
-          9 4 9 2 2.</_>
-        <_>
-          0 6 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 1 -1.</_>
-        <_>
-          8 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 3 -1.</_>
-        <_>
-          6 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 1 -1.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 1 -1.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 1 -1.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 1 -1.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 2 -1.</_>
-        <_>
-          10 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 6 2 -1.</_>
-        <_>
-          6 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 3 -1.</_>
-        <_>
-          14 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 11 3 -1.</_>
-        <_>
-          3 7 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 3 -1.</_>
-        <_>
-          9 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 7 -1.</_>
-        <_>
-          6 2 6 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 4 -1.</_>
-        <_>
-          12 1 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 6 4 -1.</_>
-        <_>
-          3 1 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 2 7 -1.</_>
-        <_>
-          11 1 1 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 4 9 4 -1.</_>
-        <_>
-          2 6 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 1 -1.</_>
-        <_>
-          10 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 10 -1.</_>
-        <_>
-          2 0 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 6 -1.</_>
-        <_>
-          11 4 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 4 6 -1.</_>
-        <_>
-          5 4 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 3 -1.</_>
-        <_>
-          12 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 4 -1.</_>
-        <_>
-          4 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 3 5 -1.</_>
-        <_>
-          9 3 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 3 5 -1.</_>
-        <_>
-          8 3 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 4 -1.</_>
-        <_>
-          8 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 2 -1.</_>
-        <_>
-          8 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 8 6 -1.</_>
-        <_>
-          13 4 4 3 2.</_>
-        <_>
-          9 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 2 2 -1.</_>
-        <_>
-          5 10 1 1 2.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 16 1 -1.</_>
-        <_>
-          4 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 1 2 -1.</_>
-        <_>
-          14 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 10 12 2 -1.</_>
-        <_>
-          5 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 1 -1.</_>
-        <_>
-          1 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          9 10 9 1 2.</_>
-        <_>
-          0 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 4 -1.</_>
-        <_>
-          10 4 2 2 2.</_>
-        <_>
-          8 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 4 4 -1.</_>
-        <_>
-          6 4 2 2 2.</_>
-        <_>
-          8 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 1 -1.</_>
-        <_>
-          9 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 3 -1.</_>
-        <_>
-          8 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 2 -1.</_>
-        <_>
-          10 3 1 1 2.</_>
-        <_>
-          9 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 1 -1.</_>
-        <_>
-          7 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 1 2 -1.</_>
-        <_>
-          12 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 2 -1.</_>
-        <_>
-          8 0 1 1 2.</_>
-        <_>
-          9 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 2 -1.</_>
-        <_>
-          9 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 1 3 -1.</_>
-        <_>
-          2 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 2 -1.</_>
-        <_>
-          9 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 2 4 -1.</_>
-        <_>
-          1 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 6 3 -1.</_>
-        <_>
-          10 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 6 3 -1.</_>
-        <_>
-          2 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 10 3 -1.</_>
-        <_>
-          6 10 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 1 -1.</_>
-        <_>
-          8 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 3 1 -1.</_>
-        <_>
-          10 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 3 1 -1.</_>
-        <_>
-          10 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 1 -1.</_>
-        <_>
-          7 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 5 -1.</_>
-        <_>
-          8 1 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 3 -1.</_>
-        <_>
-          0 7 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 1 2 -1.</_>
-        <_>
-          12 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 4 -1.</_>
-        <_>
-          5 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 2 3 -1.</_>
-        <_>
-          11 1 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 6 -1.</_>
-        <_>
-          9 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 6 -1.</_>
-        <_>
-          9 0 9 3 2.</_>
-        <_>
-          0 3 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 4 6 -1.</_>
-        <_>
-          14 5 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 1 4 -1.</_>
-        <_>
-          5 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 12 -1.</_>
-        <_>
-          4 6 10 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 3 -1.</_>
-        <_>
-          7 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 4 -1.</_>
-        <_>
-          7 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 9 4 -1.</_>
-        <_>
-          2 1 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 4 -1.</_>
-        <_>
-          16 5 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 6 -1.</_>
-        <_>
-          0 6 1 3 2.</_>
-        <_>
-          1 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 3 -1.</_>
-        <_>
-          12 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 10 -1.</_>
-        <_>
-          0 7 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 2 -1.</_>
-        <_>
-          13 5 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 1 -1.</_>
-        <_>
-          5 5 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 2 -1.</_>
-        <_>
-          8 0 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 11 -1.</_>
-        <_>
-          0 0 9 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 4 2 -1.</_>
-        <_>
-          8 3 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 6 -1.</_>
-        <_>
-          15 4 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 6 -1.</_>
-        <_>
-          2 4 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 1 4 -1.</_>
-        <_>
-          17 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 4 1 -1.</_>
-        <_>
-          1 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 3 -1.</_>
-        <_>
-          5 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 4 -1.</_>
-        <_>
-          0 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 6 -1.</_>
-        <_>
-          14 4 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 3 -1.</_>
-        <_>
-          4 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 4 -1.</_>
-        <_>
-          10 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 10 3 -1.</_>
-        <_>
-          7 2 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 6 2 -1.</_>
-        <_>
-          0 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 3 -1.</_>
-        <_>
-          8 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 3 -1.</_>
-        <_>
-          7 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 7 2 -1.</_>
-        <_>
-          7 5 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          8 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 7 6 -1.</_>
-        <_>
-          3 2 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 12 4 -1.</_>
-        <_>
-          4 2 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 4 -1.</_>
-        <_>
-          0 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 8 -1.</_>
-        <_>
-          6 6 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 4 -1.</_>
-        <_>
-          3 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 3 -1.</_>
-        <_>
-          13 3 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 4 -1.</_>
-        <_>
-          5 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 1 -1.</_>
-        <_>
-          14 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 4 -1.</_>
-        <_>
-          0 0 3 2 2.</_>
-        <_>
-          3 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 5 -1.</_>
-        <_>
-          11 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 12 -1.</_>
-        <_>
-          7 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 3 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 5 -1.</_>
-        <_>
-          5 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 4 2 -1.</_>
-        <_>
-          12 6 2 1 2.</_>
-        <_>
-          10 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 12 2 -1.</_>
-        <_>
-          6 9 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 6 2 -1.</_>
-        <_>
-          9 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 6 2 -1.</_>
-        <_>
-          7 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 3 2 -1.</_>
-        <_>
-          15 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 3 -1.</_>
-        <_>
-          5 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 3 -1.</_>
-        <_>
-          8 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 2 3 -1.</_>
-        <_>
-          3 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 1 -1.</_>
-        <_>
-          9 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 1 -1.</_>
-        <_>
-          8 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 1 -1.</_>
-        <_>
-          10 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 4 -1.</_>
-        <_>
-          14 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 4 -1.</_>
-        <_>
-          4 1 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 6 1 -1.</_>
-        <_>
-          12 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 3 -1.</_>
-        <_>
-          6 0 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 16 2 -1.</_>
-        <_>
-          6 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 2 -1.</_>
-        <_>
-          7 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 2 -1.</_>
-        <_>
-          11 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 6 -1.</_>
-        <_>
-          1 4 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 4 -1.</_>
-        <_>
-          9 3 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 2 -1.</_>
-        <_>
-          9 3 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 7 18 4 -1.</_>
-        <_>
-          9 7 9 2 2.</_>
-        <_>
-          0 9 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 4 -1.</_>
-        <_>
-          0 6 3 2 2.</_>
-        <_>
-          3 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 12 -1.</_>
-        <_>
-          17 4 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 5 -1.</_>
-        <_>
-          6 5 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 4 -1.</_>
-        <_>
-          14 2 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 4 3 -1.</_>
-        <_>
-          4 2 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 12 -1.</_>
-        <_>
-          17 4 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 4 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 6 3 -1.</_>
-        <_>
-          11 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 6 3 -1.</_>
-        <_>
-          5 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 4 -1.</_>
-        <_>
-          9 5 6 2 2.</_>
-        <_>
-          3 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 9 3 -1.</_>
-        <_>
-          3 10 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          6 10 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 12 1 -1.</_>
-        <_>
-          5 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 1 3 -1.</_>
-        <_>
-          13 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 6 3 -1.</_>
-        <_>
-          5 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 3 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 1 4 -1.</_>
-        <_>
-          4 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 6 2 -1.</_>
-        <_>
-          4 4 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 8 3 -1.</_>
-        <_>
-          10 6 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 1 3 -1.</_>
-        <_>
-          4 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 8 3 -1.</_>
-        <_>
-          10 6 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 8 3 -1.</_>
-        <_>
-          0 6 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 2 -1.</_>
-        <_>
-          11 10 1 1 2.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 1 2 -1.</_>
-        <_>
-          0 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 3 -1.</_>
-        <_>
-          13 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 10 2 2 -1.</_>
-        <_>
-          6 10 1 1 2.</_>
-        <_>
-          7 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 3 -1.</_>
-        <_>
-          13 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 4 -1.</_>
-        <_>
-          5 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 4 2 -1.</_>
-        <_>
-          12 6 2 1 2.</_>
-        <_>
-          10 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 4 -1.</_>
-        <_>
-          5 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 4 2 -1.</_>
-        <_>
-          12 6 2 1 2.</_>
-        <_>
-          10 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 4 2 -1.</_>
-        <_>
-          4 6 2 1 2.</_>
-        <_>
-          6 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 2 -1.</_>
-        <_>
-          15 10 1 1 2.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 3 -1.</_>
-        <_>
-          8 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 15 6 -1.</_>
-        <_>
-          8 6 5 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 12 2 -1.</_>
-        <_>
-          4 6 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 2 -1.</_>
-        <_>
-          15 10 1 1 2.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 3 -1.</_>
-        <_>
-          6 2 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 2 -1.</_>
-        <_>
-          15 10 1 1 2.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 6 1 -1.</_>
-        <_>
-          4 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 2 -1.</_>
-        <_>
-          15 10 1 1 2.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 2 -1.</_>
-        <_>
-          2 10 1 1 2.</_>
-        <_>
-          3 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 1 3 -1.</_>
-        <_>
-          3 5 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 5 -1.</_>
-        <_>
-          14 5 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          9 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 3 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 10 -1.</_>
-        <_>
-          9 2 3 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 12 9 -1.</_>
-        <_>
-          8 3 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 16 9 -1.</_>
-        <_>
-          4 1 8 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 3 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 3 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 1 -1.</_>
-        <_>
-          5 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 2 1 -1.</_>
-        <_>
-          4 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 5 -1.</_>
-        <_>
-          14 5 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 5 -1.</_>
-        <_>
-          2 5 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 10 -1.</_>
-        <_>
-          9 1 9 5 2.</_>
-        <_>
-          0 6 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 2 1 -1.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 3 1 -1.</_>
-        <_>
-          11 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 4 6 -1.</_>
-        <_>
-          3 1 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 6 1 -1.</_>
-        <_>
-          12 2 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 1 6 -1.</_>
-        <_>
-          6 2 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          8 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 16 1 -1.</_>
-        <_>
-          4 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 4 3 -1.</_>
-        <_>
-          6 2 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 1 -1.</_>
-        <_>
-          3 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 9 8 -1.</_>
-        <_>
-          6 3 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 7 4 -1.</_>
-        <_>
-          3 7 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 8 6 -1.</_>
-        <_>
-          13 4 4 3 2.</_>
-        <_>
-          9 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 1 -1.</_>
-        <_>
-          2 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 9 3 -1.</_>
-        <_>
-          4 2 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 4 -1.</_>
-        <_>
-          3 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 2 -1.</_>
-        <_>
-          13 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 2 -1.</_>
-        <_>
-          0 0 9 1 2.</_>
-        <_>
-          9 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 10 6 -1.</_>
-        <_>
-          12 3 5 3 2.</_>
-        <_>
-          7 6 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 3 -1.</_>
-        <_>
-          3 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 2 1 -1.</_>
-        <_>
-          12 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 2 1 -1.</_>
-        <_>
-          5 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          15 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          3 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 3 -1.</_>
-        <_>
-          10 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 8 6 -1.</_>
-        <_>
-          13 4 4 3 2.</_>
-        <_>
-          9 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 8 6 -1.</_>
-        <_>
-          1 4 4 3 2.</_>
-        <_>
-          5 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 3 -1.</_>
-        <_>
-          9 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 2 -1.</_>
-        <_>
-          6 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 1 2 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 1 2 -1.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 2 2 -1.</_>
-        <_>
-          16 10 1 1 2.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 2 2 -1.</_>
-        <_>
-          1 10 1 1 2.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 11 8 -1.</_>
-        <_>
-          5 8 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 1 -1.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 1 -1.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 1 -1.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 2 -1.</_>
-        <_>
-          6 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 4 2 -1.</_>
-        <_>
-          8 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 4 -1.</_>
-        <_>
-          9 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 1 2 -1.</_>
-        <_>
-          7 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 4 -1.</_>
-        <_>
-          15 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 4 2 -1.</_>
-        <_>
-          3 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 3 -1.</_>
-        <_>
-          16 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 1 4 -1.</_>
-        <_>
-          0 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 3 -1.</_>
-        <_>
-          9 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 6 6 -1.</_>
-        <_>
-          9 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          9 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 6 6 -1.</_>
-        <_>
-          9 4 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 3 -1.</_>
-        <_>
-          9 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 2 -1.</_>
-        <_>
-          16 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 3 -1.</_>
-        <_>
-          7 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 3 -1.</_>
-        <_>
-          8 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 2 3 -1.</_>
-        <_>
-          1 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 1 -1.</_>
-        <_>
-          1 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 1 -1.</_>
-        <_>
-          16 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          9 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 10 1 -1.</_>
-        <_>
-          8 11 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 3 1 -1.</_>
-        <_>
-          2 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 1 -1.</_>
-        <_>
-          1 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 12 4 -1.</_>
-        <_>
-          10 4 4 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 6 2 -1.</_>
-        <_>
-          6 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 6 -1.</_>
-        <_>
-          10 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 1 -1.</_>
-        <_>
-          6 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 3 -1.</_>
-        <_>
-          7 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 1 2 -1.</_>
-        <_>
-          8 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 8 -1.</_>
-        <_>
-          10 0 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 4 -1.</_>
-        <_>
-          8 0 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 2 -1.</_>
-        <_>
-          9 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 4 2 -1.</_>
-        <_>
-          7 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 3 2 -1.</_>
-        <_>
-          13 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 1 6 -1.</_>
-        <_>
-          8 6 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 3 2 -1.</_>
-        <_>
-          13 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 12 4 -1.</_>
-        <_>
-          2 3 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 1 -1.</_>
-        <_>
-          3 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          9 0 9 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 2 -1.</_>
-        <_>
-          5 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 12 6 -1.</_>
-        <_>
-          1 2 6 3 2.</_>
-        <_>
-          7 5 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 3 -1.</_>
-        <_>
-          15 9 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 4 -1.</_>
-        <_>
-          9 6 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 3 -1.</_>
-        <_>
-          0 9 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 2 -1.</_>
-        <_>
-          8 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 2 -1.</_>
-        <_>
-          8 8 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 3 -1.</_>
-        <_>
-          5 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 6 -1.</_>
-        <_>
-          5 2 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 2 -1.</_>
-        <_>
-          6 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 2 -1.</_>
-        <_>
-          10 2 1 1 2.</_>
-        <_>
-          9 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 12 4 -1.</_>
-        <_>
-          6 4 4 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 2 -1.</_>
-        <_>
-          10 2 1 1 2.</_>
-        <_>
-          9 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 3 -1.</_>
-        <_>
-          5 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 10 2 2 -1.</_>
-        <_>
-          14 10 1 1 2.</_>
-        <_>
-          13 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 2 2 -1.</_>
-        <_>
-          3 10 1 1 2.</_>
-        <_>
-          4 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 10 1 -1.</_>
-        <_>
-          8 11 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 3 -1.</_>
-        <_>
-          3 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 6 -1.</_>
-        <_>
-          4 9 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 4 1 -1.</_>
-        <_>
-          5 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 2 2 -1.</_>
-        <_>
-          4 10 1 1 2.</_>
-        <_>
-          5 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 1 4 -1.</_>
-        <_>
-          7 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          11 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 2 -1.</_>
-        <_>
-          7 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 3 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 11 14 1 -1.</_>
-        <_>
-          9 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 10 2 -1.</_>
-        <_>
-          8 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 10 2 -1.</_>
-        <_>
-          5 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 10 1 -1.</_>
-        <_>
-          8 11 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 10 1 -1.</_>
-        <_>
-          5 11 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 1 2 -1.</_>
-        <_>
-          3 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 4 1 -1.</_>
-        <_>
-          10 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 4 2 -1.</_>
-        <_>
-          0 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 16 1 -1.</_>
-        <_>
-          6 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 1 -1.</_>
-        <_>
-          9 8 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 3 -1.</_>
-        <_>
-          7 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 3 -1.</_>
-        <_>
-          9 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 4 -1.</_>
-        <_>
-          8 7 1 2 2.</_>
-        <_>
-          9 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 3 -1.</_>
-        <_>
-          14 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 4 -1.</_>
-        <_>
-          0 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 3 -1.</_>
-        <_>
-          14 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 2 -1.</_>
-        <_>
-          4 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_></features></cascade>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_lefteye_alt.xml b/data/haarcascades/haarcascade_mcs_lefteye_alt.xml
deleted file mode 100644
index 085875218b..0000000000
--- a/data/haarcascades/haarcascade_mcs_lefteye_alt.xml
+++ /dev/null
@@ -1,24071 +0,0 @@
-<?xml version="1.0"?>
-<!--
-18x12 Left eye (in the image) detector computed with 12000 positive samples
-2012-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 ? Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 ? Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor ? Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 ? License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@ARTICLE{Castrillon12-ciarp,
-					  author = {Modesto Castrill\'on and Daniel Hern\'andez and Javier Lorenzo},
-					  title = {Combining Face and Facial Feature Detectors for Face Detection Performance Improvement},
-					  journal = {Lecture Notes in Computer Science},
-					  year = {2012},
-					  volume = {7441},
-					  pages = {82-89},
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<classifier_OjoI_18_12_SIANIfacity type_id="opencv-haar-classifier">
-  <size>
-    18 12</size>
-  <stages>
-    <_>
-      <!-- stage 0 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 12 -1.</_>
-                <_>
-                  7 4 4 4 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.4611408710479736e-001</threshold>
-            <left_val>8.2068818807601929e-001</left_val>
-            <right_val>-7.5621801614761353e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 8 -1.</_>
-                <_>
-                  0 8 18 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9197000563144684e-001</threshold>
-            <left_val>-7.4652588367462158e-001</left_val>
-            <right_val>5.0908601284027100e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 6 2 1 -1.</_>
-                <_>
-                  2 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0090269643114880e-004</threshold>
-            <left_val>4.2689380049705505e-001</left_val>
-            <right_val>-5.5786168575286865e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 3 6 -1.</_>
-                <_>
-                  7 3 3 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.2340409755706787e-002</threshold>
-            <left_val>4.4454950094223022e-001</left_val>
-            <right_val>-1.2654660642147064e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 2 -1.</_>
-                <_>
-                  11 4 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.1513116359710693e-002</threshold>
-            <left_val>6.0273522138595581e-001</left_val>
-            <right_val>-2.4365329742431641e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 11 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8654979511629790e-005</threshold>
-            <left_val>-5.7338011264801025e-001</left_val>
-            <right_val>2.3801539838314056e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 8 4 2 -1.</_>
-                <_>
-                  1 9 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3697938963305205e-005</threshold>
-            <left_val>-4.0486478805541992e-001</left_val>
-            <right_val>2.1698260307312012e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 2 1 -1.</_>
-                <_>
-                  15 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0192039917455986e-004</threshold>
-            <left_val>1.9003869593143463e-001</left_val>
-            <right_val>-2.0315149426460266e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 6 2 1 -1.</_>
-                <_>
-                  2 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0126679990207776e-004</threshold>
-            <left_val>-2.1862569451332092e-001</left_val>
-            <right_val>4.6297249197959900e-001</right_val></_></_></trees>
-      <stage_threshold>-1.9446439743041992e+000</stage_threshold>
-      <parent>-1</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 1 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 12 -1.</_>
-                <_>
-                  7 4 4 4 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0576202869415283e-001</threshold>
-            <left_val>8.1088548898696899e-001</left_val>
-            <right_val>-6.3504821062088013e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 17 8 -1.</_>
-                <_>
-                  1 8 17 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8249558806419373e-001</threshold>
-            <left_val>-6.3604378700256348e-001</left_val>
-            <right_val>5.8339637517929077e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 10 9 -1.</_>
-                <_>
-                  3 5 10 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9681571125984192e-001</threshold>
-            <left_val>-2.7583679184317589e-002</left_val>
-            <right_val>-2.0745629882812500e+003</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 2 6 -1.</_>
-                <_>
-                  7 3 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.2082080394029617e-002</threshold>
-            <left_val>2.6939961314201355e-001</left_val>
-            <right_val>-5.1909279078245163e-002</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 12 10 -1.</_>
-                <_>
-                  0 7 12 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6202162504196167e-001</threshold>
-            <left_val>1.9688610918819904e-003</left_val>
-            <right_val>-2.0273730468750000e+003</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 4 -1.</_>
-                <_>
-                  14 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9935750216245651e-003</threshold>
-            <left_val>1.8710659444332123e-001</left_val>
-            <right_val>-1.7539620399475098e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 5 6 4 -1.</_>
-                <_>
-                  3 5 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8909620121121407e-002</threshold>
-            <left_val>3.9160171151161194e-001</left_val>
-            <right_val>-3.6989161372184753e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 2 6 -1.</_>
-                <_>
-                  7 3 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5043029338121414e-002</threshold>
-            <left_val>5.7452820241451263e-002</left_val>
-            <right_val>-5.9267260134220123e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 6 2 -1.</_>
-                <_>
-                  11 3 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.7229399681091309e-002</threshold>
-            <left_val>4.6264800429344177e-001</left_val>
-            <right_val>-2.2969110310077667e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 5 2 -1.</_>
-                <_>
-                  12 10 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.6097549784462899e-005</threshold>
-            <left_val>-3.5773921012878418e-001</left_val>
-            <right_val>1.4059029519557953e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 9 5 2 -1.</_>
-                <_>
-                  1 10 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8821111451834440e-005</threshold>
-            <left_val>-4.8682320117950439e-001</left_val>
-            <right_val>2.3461140692234039e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 6 -1.</_>
-                <_>
-                  6 3 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.3586022257804871e-002</threshold>
-            <left_val>-1.5363390743732452e-001</left_val>
-            <right_val>7.1024411916732788e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 11 4 1 -1.</_>
-                <_>
-                  8 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7323051840066910e-003</threshold>
-            <left_val>-8.1375300884246826e-001</left_val>
-            <right_val>1.5069650113582611e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7054250501096249e-003</threshold>
-            <left_val>1.2084300071001053e-001</left_val>
-            <right_val>-7.2984558343887329e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 4 1 -1.</_>
-                <_>
-                  7 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.2972271330654621e-003</threshold>
-            <left_val>7.5880967080593109e-002</left_val>
-            <right_val>-8.0118077993392944e-001</right_val></_></_></trees>
-      <stage_threshold>-1.7692639827728271e+000</stage_threshold>
-      <parent>0</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 2 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 2 8 -1.</_>
-                <_>
-                  8 8 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.2623426318168640e-002</threshold>
-            <left_val>-6.7264968156814575e-001</left_val>
-            <right_val>6.5457260608673096e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 18 9 -1.</_>
-                <_>
-                  6 4 6 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.4647617340087891e-001</threshold>
-            <left_val>5.7469171285629272e-001</left_val>
-            <right_val>-4.3637180328369141e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 4 4 -1.</_>
-                <_>
-                  2 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7294099554419518e-002</threshold>
-            <left_val>4.6898889541625977e-001</left_val>
-            <right_val>-3.9281249046325684e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 8 17 4 -1.</_>
-                <_>
-                  1 10 17 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1398400887846947e-002</threshold>
-            <left_val>-5.9292298555374146e-001</left_val>
-            <right_val>1.9770659506320953e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5737060010433197e-002</threshold>
-            <left_val>5.5622661113739014e-001</left_val>
-            <right_val>-2.0223970711231232e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 11 4 1 -1.</_>
-                <_>
-                  8 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2078200019896030e-003</threshold>
-            <left_val>7.4256651103496552e-002</left_val>
-            <right_val>-7.2774058580398560e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 1 4 -1.</_>
-                <_>
-                  0 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8174460642039776e-003</threshold>
-            <left_val>-6.7518317699432373e-001</left_val>
-            <right_val>1.1311540007591248e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 11 4 1 -1.</_>
-                <_>
-                  10 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.7939909379929304e-003</threshold>
-            <left_val>8.9654907584190369e-002</left_val>
-            <right_val>-7.3344737291336060e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 4 3 -1.</_>
-                <_>
-                  9 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8273390829563141e-002</threshold>
-            <left_val>4.4436338543891907e-001</left_val>
-            <right_val>-1.8418380618095398e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 11 4 1 -1.</_>
-                <_>
-                  10 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3060338832437992e-003</threshold>
-            <left_val>-7.0876628160476685e-001</left_val>
-            <right_val>7.8580521047115326e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 3 3 -1.</_>
-                <_>
-                  0 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1829390190541744e-002</threshold>
-            <left_val>8.9572936296463013e-002</left_val>
-            <right_val>-7.3483431339263916e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 4 2 -1.</_>
-                <_>
-                  10 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.8425127752125263e-003</threshold>
-            <left_val>4.7504398971796036e-002</left_val>
-            <right_val>-3.6813148856163025e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 10 4 2 -1.</_>
-                <_>
-                  6 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.3384378552436829e-003</threshold>
-            <left_val>1.0396180301904678e-001</left_val>
-            <right_val>-6.1680471897125244e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 3 7 -1.</_>
-                <_>
-                  10 1 1 7 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8934059664607048e-002</threshold>
-            <left_val>2.3010690510272980e-001</left_val>
-            <right_val>-9.5079377293586731e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 7 3 -1.</_>
-                <_>
-                  8 1 7 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.0601950585842133e-002</threshold>
-            <left_val>-1.4737619459629059e-001</left_val>
-            <right_val>3.8007509708404541e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  8 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0493800044059753e-002</threshold>
-            <left_val>-6.4840590953826904e-001</left_val>
-            <right_val>9.1139681637287140e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 2 8 -1.</_>
-                <_>
-                  8 8 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.2527976930141449e-002</threshold>
-            <left_val>1.6974839568138123e-001</left_val>
-            <right_val>-2.9701429605484009e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 3 6 -1.</_>
-                <_>
-                  7 4 3 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.4582162797451019e-002</threshold>
-            <left_val>1.9255830347537994e-001</left_val>
-            <right_val>-2.5837939232587814e-002</right_val></_></_></trees>
-      <stage_threshold>-1.7514940500259399e+000</stage_threshold>
-      <parent>1</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 3 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 9 2 -1.</_>
-                <_>
-                  9 3 3 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5237879753112793e-001</threshold>
-            <left_val>7.1485751867294312e-001</left_val>
-            <right_val>-5.8257007598876953e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 11 8 -1.</_>
-                <_>
-                  6 8 11 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9623799622058868e-001</threshold>
-            <left_val>-5.0717341899871826e-001</left_val>
-            <right_val>3.0529379844665527e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 2 4 -1.</_>
-                <_>
-                  4 5 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.5102769732475281e-002</threshold>
-            <left_val>3.8133320212364197e-001</left_val>
-            <right_val>-4.4005489349365234e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 6 2 -1.</_>
-                <_>
-                  14 4 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.6640313267707825e-002</threshold>
-            <left_val>-3.1253110617399216e-002</left_val>
-            <right_val>4.1132459044456482e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 4 -1.</_>
-                <_>
-                  0 4 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6519891023635864e-001</threshold>
-            <left_val>-1.7459569498896599e-003</left_val>
-            <right_val>-2.0211540527343750e+003</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 6 2 -1.</_>
-                <_>
-                  7 6 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2979141473770142e-002</threshold>
-            <left_val>5.6572532653808594e-001</left_val>
-            <right_val>-9.0168356895446777e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 6 2 -1.</_>
-                <_>
-                  8 6 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3122299686074257e-002</threshold>
-            <left_val>2.8803709149360657e-001</left_val>
-            <right_val>-3.0250340700149536e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 16 2 -1.</_>
-                <_>
-                  1 11 16 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3766849588137120e-004</threshold>
-            <left_val>-5.2591192722320557e-001</left_val>
-            <right_val>1.6913980245590210e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 5 2 6 -1.</_>
-                <_>
-                  2 5 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3008220493793488e-001</threshold>
-            <left_val>-4.6197711490094662e-003</left_val>
-            <right_val>-1.0582030029296875e+003</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 4 3 -1.</_>
-                <_>
-                  14 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5327390283346176e-002</threshold>
-            <left_val>-6.9445407390594482e-001</left_val>
-            <right_val>7.1856021881103516e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 4 3 -1.</_>
-                <_>
-                  0 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6624903380870819e-003</threshold>
-            <left_val>-6.1284822225570679e-001</left_val>
-            <right_val>9.1272346675395966e-002</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 10 6 -1.</_>
-                <_>
-                  5 2 10 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.8566377758979797e-002</threshold>
-            <left_val>-1.5997810661792755e-001</left_val>
-            <right_val>3.6896151304244995e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 3 2 -1.</_>
-                <_>
-                  0 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7188939750194550e-003</threshold>
-            <left_val>-6.3978141546249390e-001</left_val>
-            <right_val>9.2079572379589081e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 11 8 -1.</_>
-                <_>
-                  4 2 11 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4510180056095123e-001</threshold>
-            <left_val>4.1528600454330444e-001</left_val>
-            <right_val>-1.4322389662265778e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 2 -1.</_>
-                <_>
-                  9 3 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7310230061411858e-002</threshold>
-            <left_val>-1.5397289395332336e-001</left_val>
-            <right_val>4.0401691198348999e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 8 5 2 -1.</_>
-                <_>
-                  13 9 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3151350615080446e-004</threshold>
-            <left_val>-2.0172169804573059e-001</left_val>
-            <right_val>1.2100940197706223e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 5 2 -1.</_>
-                <_>
-                  0 9 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4627388706430793e-004</threshold>
-            <left_val>-3.9083960652351379e-001</left_val>
-            <right_val>1.2552070617675781e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 4 3 -1.</_>
-                <_>
-                  12 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3271129690110683e-002</threshold>
-            <left_val>-1.0739839822053909e-001</left_val>
-            <right_val>2.6234090328216553e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 16 9 -1.</_>
-                <_>
-                  5 0 8 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1344719678163528e-001</threshold>
-            <left_val>2.6222631335258484e-001</left_val>
-            <right_val>-2.0850320160388947e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 11 6 1 -1.</_>
-                <_>
-                  10 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.8979126885533333e-003</threshold>
-            <left_val>4.9091130495071411e-002</left_val>
-            <right_val>-5.0896888971328735e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 6 2 -1.</_>
-                <_>
-                  6 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4719990789890289e-002</threshold>
-            <left_val>-7.5905930995941162e-001</left_val>
-            <right_val>4.9361631274223328e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 3 3 -1.</_>
-                <_>
-                  13 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3265918493270874e-002</threshold>
-            <left_val>3.4829610586166382e-001</left_val>
-            <right_val>-5.9630129486322403e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 2 -1.</_>
-                <_>
-                  8 1 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2988099604845047e-002</threshold>
-            <left_val>-6.5046131610870361e-001</left_val>
-            <right_val>6.4039543271064758e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 4 4 -1.</_>
-                <_>
-                  12 1 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.1392410397529602e-002</threshold>
-            <left_val>2.1976619958877563e-001</left_val>
-            <right_val>-6.0772381722927094e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 4 4 -1.</_>
-                <_>
-                  6 1 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.7737959772348404e-002</threshold>
-            <left_val>5.1002371311187744e-001</left_val>
-            <right_val>-7.2028681635856628e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 6 3 -1.</_>
-                <_>
-                  12 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2071519643068314e-002</threshold>
-            <left_val>-7.6109372079372406e-002</left_val>
-            <right_val>2.5640499591827393e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 15 6 -1.</_>
-                <_>
-                  6 2 5 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4289338588714600e-001</threshold>
-            <left_val>-6.8526968359947205e-002</left_val>
-            <right_val>5.6304061412811279e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 6 3 -1.</_>
-                <_>
-                  12 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1486619710922241e-002</threshold>
-            <left_val>1.5239420533180237e-001</left_val>
-            <right_val>-4.0200568735599518e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 6 3 -1.</_>
-                <_>
-                  4 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9018840044736862e-002</threshold>
-            <left_val>3.1413850188255310e-001</left_val>
-            <right_val>-1.2248709797859192e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.8585639819502831e-003</threshold>
-            <left_val>-6.6252797842025757e-001</left_val>
-            <right_val>5.7304140180349350e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 4 3 -1.</_>
-                <_>
-                  8 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.8197776824235916e-003</threshold>
-            <left_val>4.3627310544252396e-002</left_val>
-            <right_val>-6.7724108695983887e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 14 4 -1.</_>
-                <_>
-                  2 1 14 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0927143096923828e-002</threshold>
-            <left_val>5.4129147529602051e-001</left_val>
-            <right_val>-7.2669401764869690e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 7 4 -1.</_>
-                <_>
-                  5 1 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3212930187582970e-002</threshold>
-            <left_val>-1.1495050042867661e-001</left_val>
-            <right_val>2.9792940616607666e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 1 -1.</_>
-                <_>
-                  10 0 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4186761155724525e-003</threshold>
-            <left_val>-4.9147358536720276e-001</left_val>
-            <right_val>3.9359170943498611e-002</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 8 3 3 -1.</_>
-                <_>
-                  1 9 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4896850101649761e-002</threshold>
-            <left_val>4.8360548913478851e-002</left_val>
-            <right_val>-5.7956790924072266e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 7 7 2 -1.</_>
-                <_>
-                  10 8 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0226260423660278e-003</threshold>
-            <left_val>-1.1061940342187881e-001</left_val>
-            <right_val>5.2919808775186539e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 4 2 -1.</_>
-                <_>
-                  6 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.6905869171023369e-003</threshold>
-            <left_val>-4.3806540966033936e-001</left_val>
-            <right_val>6.6940046846866608e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 2 -1.</_>
-                <_>
-                  11 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.2806091047823429e-003</threshold>
-            <left_val>-6.5536737442016602e-002</left_val>
-            <right_val>2.7438428997993469e-001</right_val></_></_></trees>
-      <stage_threshold>-1.9025980234146118e+000</stage_threshold>
-      <parent>2</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 4 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 6 3 -1.</_>
-                <_>
-                  11 3 2 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0395430028438568e-001</threshold>
-            <left_val>6.2448638677597046e-001</left_val>
-            <right_val>-5.9380972385406494e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 3 -1.</_>
-                <_>
-                  14 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0995300561189651e-003</threshold>
-            <left_val>2.8107839822769165e-001</left_val>
-            <right_val>-2.3319789767265320e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 15 12 -1.</_>
-                <_>
-                  0 4 15 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1043469905853271e+000</threshold>
-            <left_val>1.3428430538624525e-003</left_val>
-            <right_val>-1.8338730468750000e+003</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 10 8 -1.</_>
-                <_>
-                  7 8 10 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5152810513973236e-001</threshold>
-            <left_val>-5.4776471853256226e-001</left_val>
-            <right_val>1.7032749950885773e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 4 3 -1.</_>
-                <_>
-                  2 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8869370222091675e-002</threshold>
-            <left_val>5.1096087694168091e-001</left_val>
-            <right_val>-3.8751450181007385e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 4 6 -1.</_>
-                <_>
-                  10 3 2 6 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5966409593820572e-002</threshold>
-            <left_val>5.9833060950040817e-002</left_val>
-            <right_val>-8.0629907548427582e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 4 -1.</_>
-                <_>
-                  8 3 6 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3599171787500381e-002</threshold>
-            <left_val>4.0842789411544800e-001</left_val>
-            <right_val>-3.2333779335021973e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 6 4 -1.</_>
-                <_>
-                  7 3 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8244638592004776e-002</threshold>
-            <left_val>4.9302589893341064e-001</left_val>
-            <right_val>-1.6094090044498444e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 6 6 -1.</_>
-                <_>
-                  0 9 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1556170657277107e-002</threshold>
-            <left_val>-5.7558798789978027e-001</left_val>
-            <right_val>1.5593230724334717e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 3 -1.</_>
-                <_>
-                  6 0 6 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5178638547658920e-002</threshold>
-            <left_val>3.1259340047836304e-001</left_val>
-            <right_val>-2.3921109735965729e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 2 -1.</_>
-                <_>
-                  6 6 1 1 2.</_>
-                <_>
-                  7 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8735559210181236e-003</threshold>
-            <left_val>5.4549610614776611e-001</left_val>
-            <right_val>-1.0063389688730240e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 11 6 1 -1.</_>
-                <_>
-                  11 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4108420349657536e-002</threshold>
-            <left_val>-7.3762410879135132e-001</left_val>
-            <right_val>5.7357121258974075e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 2 4 -1.</_>
-                <_>
-                  0 8 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.0528269968926907e-003</threshold>
-            <left_val>-5.5406332015991211e-001</left_val>
-            <right_val>7.6832607388496399e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 6 2 -1.</_>
-                <_>
-                  10 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8572619184851646e-002</threshold>
-            <left_val>3.2866738736629486e-002</left_val>
-            <right_val>-6.4792937040328979e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 6 2 -1.</_>
-                <_>
-                  6 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2845859862864017e-002</threshold>
-            <left_val>7.3656037449836731e-002</left_val>
-            <right_val>-5.7360821962356567e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 4 3 -1.</_>
-                <_>
-                  12 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0417309589684010e-002</threshold>
-            <left_val>-1.0239619761705399e-001</left_val>
-            <right_val>2.5212439894676208e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 5 2 -1.</_>
-                <_>
-                  0 11 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2642878144979477e-003</threshold>
-            <left_val>-5.9819197654724121e-001</left_val>
-            <right_val>6.9865286350250244e-002</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 10 16 2 -1.</_>
-                <_>
-                  10 10 8 1 2.</_>
-                <_>
-                  2 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.7880489826202393e-002</threshold>
-            <left_val>4.3994851410388947e-002</left_val>
-            <right_val>-5.0984817743301392e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 9 3 -1.</_>
-                <_>
-                  4 3 9 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3825490847229958e-002</threshold>
-            <left_val>-1.2183369696140289e-001</left_val>
-            <right_val>3.1688851118087769e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 8 4 -1.</_>
-                <_>
-                  6 2 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0250659435987473e-002</threshold>
-            <left_val>3.3406090736389160e-001</left_val>
-            <right_val>-1.0055329650640488e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 9 4 -1.</_>
-                <_>
-                  3 1 9 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2774340361356735e-002</threshold>
-            <left_val>-1.2221919745206833e-001</left_val>
-            <right_val>3.1050428748130798e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 9 2 1 -1.</_>
-                <_>
-                  9 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1297949822619557e-004</threshold>
-            <left_val>1.0250750184059143e-001</left_val>
-            <right_val>-2.0995940268039703e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 12 5 -1.</_>
-                <_>
-                  8 4 6 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.5565170049667358e-002</threshold>
-            <left_val>3.0095851421356201e-001</left_val>
-            <right_val>-1.3452769815921783e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 4 2 -1.</_>
-                <_>
-                  11 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3593629747629166e-003</threshold>
-            <left_val>6.4052909612655640e-002</left_val>
-            <right_val>-4.9904870986938477e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 4 3 -1.</_>
-                <_>
-                  4 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0063141174614429e-003</threshold>
-            <left_val>3.0243200063705444e-001</left_val>
-            <right_val>-1.1930730193853378e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7500750720500946e-002</threshold>
-            <left_val>-5.7251829653978348e-002</left_val>
-            <right_val>4.4421580433845520e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 4 2 -1.</_>
-                <_>
-                  7 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.2048557922244072e-003</threshold>
-            <left_val>-6.1189258098602295e-001</left_val>
-            <right_val>6.4432121813297272e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6282947771251202e-003</threshold>
-            <left_val>2.4128329753875732e-001</left_val>
-            <right_val>-8.9441202580928802e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 11 4 1 -1.</_>
-                <_>
-                  5 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.9876999109983444e-003</threshold>
-            <left_val>-6.7359071969985962e-001</left_val>
-            <right_val>5.8322191238403320e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3166439495980740e-003</threshold>
-            <left_val>-8.9238733053207397e-002</left_val>
-            <right_val>1.2162160128355026e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 3 3 -1.</_>
-                <_>
-                  6 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7102159373462200e-003</threshold>
-            <left_val>3.7631779909133911e-001</left_val>
-            <right_val>-9.5407336950302124e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 2 -1.</_>
-                <_>
-                  12 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.0830701366066933e-003</threshold>
-            <left_val>7.4287436902523041e-002</left_val>
-            <right_val>-3.9065170288085938e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 8 9 -1.</_>
-                <_>
-                  4 3 8 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8377199769020081e-001</threshold>
-            <left_val>-6.3876979053020477e-002</left_val>
-            <right_val>5.6611680984497070e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 6 -1.</_>
-                <_>
-                  0 3 18 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.0653341934084892e-003</threshold>
-            <left_val>1.4651310443878174e-001</left_val>
-            <right_val>-2.5797340273857117e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 6 2 -1.</_>
-                <_>
-                  5 0 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0235970616340637e-002</threshold>
-            <left_val>-5.4194480180740356e-001</left_val>
-            <right_val>5.7601358741521835e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 7 4 3 -1.</_>
-                <_>
-                  14 8 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6110339909791946e-002</threshold>
-            <left_val>-6.0285919904708862e-001</left_val>
-            <right_val>1.7485620453953743e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 6 3 -1.</_>
-                <_>
-                  11 3 2 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0403200238943100e-001</threshold>
-            <left_val>-2.4455690383911133e-001</left_val>
-            <right_val>1.2605750560760498e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 6 3 -1.</_>
-                <_>
-                  9 6 2 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3566411137580872e-002</threshold>
-            <left_val>2.5159069895744324e-001</left_val>
-            <right_val>-1.0152529925107956e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 4 2 -1.</_>
-                <_>
-                  7 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7835198715329170e-003</threshold>
-            <left_val>3.3641210198402405e-001</left_val>
-            <right_val>-9.6368037164211273e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 7 4 3 -1.</_>
-                <_>
-                  14 8 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0316449701786041e-002</threshold>
-            <left_val>1.7477709800004959e-002</left_val>
-            <right_val>-6.0695719718933105e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 4 3 -1.</_>
-                <_>
-                  0 8 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0985240116715431e-002</threshold>
-            <left_val>4.0398400276899338e-002</left_val>
-            <right_val>-7.3442429304122925e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 6 2 -1.</_>
-                <_>
-                  8 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9706780090928078e-002</threshold>
-            <left_val>3.1928699463605881e-002</left_val>
-            <right_val>-7.5477129220962524e-001</right_val></_></_></trees>
-      <stage_threshold>-1.8514059782028198e+000</stage_threshold>
-      <parent>3</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 5 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 9 8 -1.</_>
-                <_>
-                  2 4 9 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7423079907894135e-001</threshold>
-            <left_val>6.1390841007232666e-001</left_val>
-            <right_val>-4.7894141077995300e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 6 2 -1.</_>
-                <_>
-                  11 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.7291038781404495e-002</threshold>
-            <left_val>-2.7487620711326599e-001</left_val>
-            <right_val>6.9311857223510742e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 2 2 -1.</_>
-                <_>
-                  7 2 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.1578949689865112e-002</threshold>
-            <left_val>3.4122820943593979e-002</left_val>
-            <right_val>-1.7707500000000000e+003</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 3 -1.</_>
-                <_>
-                  9 3 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.8419991284608841e-002</threshold>
-            <left_val>9.5094732940196991e-002</left_val>
-            <right_val>-3.5735588520765305e-002</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 4 -1.</_>
-                <_>
-                  9 3 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.8234533071517944e-002</threshold>
-            <left_val>4.3610438704490662e-001</left_val>
-            <right_val>-2.7024009823799133e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.6446189284324646e-002</threshold>
-            <left_val>-5.3858101367950439e-001</left_val>
-            <right_val>1.2908129394054413e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 4 6 -1.</_>
-                <_>
-                  3 4 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8313050270080566e-002</threshold>
-            <left_val>2.4637509882450104e-001</left_val>
-            <right_val>-2.9880639910697937e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 1 6 -1.</_>
-                <_>
-                  7 4 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.5683261007070541e-002</threshold>
-            <left_val>-1.9792109727859497e-002</left_val>
-            <right_val>2.9861330986022949e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 1 -1.</_>
-                <_>
-                  11 4 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.8607221096754074e-002</threshold>
-            <left_val>3.2478851079940796e-001</left_val>
-            <right_val>-1.9968329370021820e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 10 4 -1.</_>
-                <_>
-                  4 3 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3359329700469971e-002</threshold>
-            <left_val>5.1778447628021240e-001</left_val>
-            <right_val>-1.1112260073423386e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 7 3 -1.</_>
-                <_>
-                  5 4 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.5140959769487381e-002</threshold>
-            <left_val>-9.0483076870441437e-002</left_val>
-            <right_val>5.9572058916091919e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  6 0 6 12 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1597529947757721e-001</threshold>
-            <left_val>2.0755149424076080e-001</left_val>
-            <right_val>-2.4115790426731110e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 3 -1.</_>
-                <_>
-                  6 3 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9019270092248917e-002</threshold>
-            <left_val>-1.0131660103797913e-001</left_val>
-            <right_val>4.7087991237640381e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 2 4 10 -1.</_>
-                <_>
-                  14 7 4 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4864710159599781e-002</threshold>
-            <left_val>-2.8045138716697693e-001</left_val>
-            <right_val>1.1898139864206314e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 2 -1.</_>
-                <_>
-                  6 6 1 1 2.</_>
-                <_>
-                  7 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2239339780062437e-003</threshold>
-            <left_val>4.2325741052627563e-001</left_val>
-            <right_val>-1.0377889871597290e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 4 2 -1.</_>
-                <_>
-                  9 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6671360507607460e-003</threshold>
-            <left_val>-5.9137248992919922e-001</left_val>
-            <right_val>9.7125522792339325e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 4 4 -1.</_>
-                <_>
-                  0 9 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0033809667220339e-004</threshold>
-            <left_val>-4.6385771036148071e-001</left_val>
-            <right_val>7.2615653276443481e-002</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  9 0 9 6 2.</_>
-                <_>
-                  0 6 9 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6071398854255676e-001</threshold>
-            <left_val>-6.1538481712341309e-001</left_val>
-            <right_val>5.5276088416576385e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 2 2 -1.</_>
-                <_>
-                  0 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1085009686648846e-003</threshold>
-            <left_val>-5.7536369562149048e-001</left_val>
-            <right_val>6.0731589794158936e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 11 6 1 -1.</_>
-                <_>
-                  9 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.1288890428841114e-003</threshold>
-            <left_val>7.4672959744930267e-002</left_val>
-            <right_val>-5.2534508705139160e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 3 3 -1.</_>
-                <_>
-                  8 6 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2192759439349174e-002</threshold>
-            <left_val>3.2507351040840149e-001</left_val>
-            <right_val>-1.1742109805345535e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  8 0 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9342940077185631e-002</threshold>
-            <left_val>-6.4161187410354614e-001</left_val>
-            <right_val>4.9035649746656418e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  8 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.7600688673555851e-003</threshold>
-            <left_val>6.9918327033519745e-002</left_val>
-            <right_val>-4.5949921011924744e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 7 3 -1.</_>
-                <_>
-                  6 1 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7340639606118202e-002</threshold>
-            <left_val>-1.0505460202693939e-001</left_val>
-            <right_val>2.8804540634155273e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 9 8 -1.</_>
-                <_>
-                  2 4 9 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7411990463733673e-001</threshold>
-            <left_val>-2.7445599436759949e-001</left_val>
-            <right_val>1.2657789885997772e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 10 6 -1.</_>
-                <_>
-                  5 2 10 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1415860056877136e-001</threshold>
-            <left_val>-9.0350322425365448e-002</left_val>
-            <right_val>2.8193458914756775e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 2 -1.</_>
-                <_>
-                  4 1 10 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4428309649229050e-002</threshold>
-            <left_val>4.5843648910522461e-001</left_val>
-            <right_val>-7.3989093303680420e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 10 6 2 -1.</_>
-                <_>
-                  15 10 3 1 2.</_>
-                <_>
-                  12 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.6141622634604573e-005</threshold>
-            <left_val>-1.2745319306850433e-001</left_val>
-            <right_val>1.1268970370292664e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 3 3 -1.</_>
-                <_>
-                  5 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.9724201671779156e-003</threshold>
-            <left_val>2.7802708745002747e-001</left_val>
-            <right_val>-1.0591570287942886e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 3 2 -1.</_>
-                <_>
-                  13 4 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.3664510846138000e-002</threshold>
-            <left_val>5.5961591005325317e-001</left_val>
-            <right_val>-2.6394790038466454e-003</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 2 3 -1.</_>
-                <_>
-                  5 4 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.6674149557948112e-002</threshold>
-            <left_val>4.9559178948402405e-001</left_val>
-            <right_val>-6.9073468446731567e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 10 6 2 -1.</_>
-                <_>
-                  15 10 3 1 2.</_>
-                <_>
-                  12 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4223149977624416e-002</threshold>
-            <left_val>3.5259280353784561e-002</left_val>
-            <right_val>-4.1093349456787109e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 6 2 -1.</_>
-                <_>
-                  0 10 3 1 2.</_>
-                <_>
-                  3 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2638079574098811e-005</threshold>
-            <left_val>-1.8650929629802704e-001</left_val>
-            <right_val>1.4809480309486389e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 16 2 -1.</_>
-                <_>
-                  9 10 8 1 2.</_>
-                <_>
-                  1 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3983500897884369e-002</threshold>
-            <left_val>4.9719810485839844e-002</left_val>
-            <right_val>-5.1264011859893799e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 9 2 -1.</_>
-                <_>
-                  10 3 3 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.0319589674472809e-002</threshold>
-            <left_val>8.3218432962894440e-002</left_val>
-            <right_val>-2.9233419895172119e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 2 -1.</_>
-                <_>
-                  9 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1278240010142326e-002</threshold>
-            <left_val>-6.7043042182922363e-001</left_val>
-            <right_val>3.4270301461219788e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5662490874528885e-002</threshold>
-            <left_val>2.2888509929180145e-001</left_val>
-            <right_val>-1.3197310268878937e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 6 2 -1.</_>
-                <_>
-                  10 0 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1419739350676537e-002</threshold>
-            <left_val>3.7937160581350327e-002</left_val>
-            <right_val>-4.5889899134635925e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 1 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4534449223428965e-003</threshold>
-            <left_val>3.3343398571014404e-001</left_val>
-            <right_val>-7.5317703187465668e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 4 2 -1.</_>
-                <_>
-                  9 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8356970548629761e-003</threshold>
-            <left_val>3.6585651338100433e-002</left_val>
-            <right_val>-3.8631778955459595e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 4 2 -1.</_>
-                <_>
-                  7 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.0293467938899994e-003</threshold>
-            <left_val>5.2214898169040680e-002</left_val>
-            <right_val>-5.0938832759857178e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 2 3 -1.</_>
-                <_>
-                  8 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.3139381557703018e-002</threshold>
-            <left_val>-2.7443800121545792e-002</left_val>
-            <right_val>3.2198739051818848e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 2 -1.</_>
-                <_>
-                  10 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.7034106254577637e-003</threshold>
-            <left_val>1.7421320080757141e-001</left_val>
-            <right_val>-1.4240099489688873e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.2512637600302696e-003</threshold>
-            <left_val>-6.9030272960662842e-001</left_val>
-            <right_val>3.4187458455562592e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 1 4 -1.</_>
-                <_>
-                  0 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4581499621272087e-002</threshold>
-            <left_val>-6.0555249452590942e-001</left_val>
-            <right_val>3.1542379409074783e-002</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 3 -1.</_>
-                <_>
-                  9 3 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1998149752616882e-001</threshold>
-            <left_val>3.4346449375152588e-001</left_val>
-            <right_val>-1.8667690455913544e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 4 -1.</_>
-                <_>
-                  9 3 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.8040207028388977e-002</threshold>
-            <left_val>-2.2389249503612518e-001</left_val>
-            <right_val>9.7281388938426971e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 3 7 -1.</_>
-                <_>
-                  11 1 1 7 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.5576358437538147e-002</threshold>
-            <left_val>9.8187446594238281e-002</left_val>
-            <right_val>-2.1791150793433189e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 7 3 -1.</_>
-                <_>
-                  7 1 7 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.0443429946899414e-002</threshold>
-            <left_val>2.4923379719257355e-001</left_val>
-            <right_val>-9.3816317617893219e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 4 4 -1.</_>
-                <_>
-                  13 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6799547746777534e-003</threshold>
-            <left_val>2.1073240041732788e-001</left_val>
-            <right_val>-1.0627429932355881e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 4 -1.</_>
-                <_>
-                  0 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.0224146842956543e-003</threshold>
-            <left_val>4.8349138349294662e-002</left_val>
-            <right_val>-4.5440268516540527e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 8 -1.</_>
-                <_>
-                  9 4 9 4 2.</_>
-                <_>
-                  0 8 9 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6591160893440247e-001</threshold>
-            <left_val>2.9608080163598061e-002</left_val>
-            <right_val>-6.3526999950408936e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 4 5 -1.</_>
-                <_>
-                  3 4 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5959859378635883e-003</threshold>
-            <left_val>1.3883949816226959e-001</left_val>
-            <right_val>-1.4947269856929779e-001</right_val></_></_></trees>
-      <stage_threshold>-1.7941249608993530e+000</stage_threshold>
-      <parent>4</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 6 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 9 2 -1.</_>
-                <_>
-                  9 3 3 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8246339261531830e-001</threshold>
-            <left_val>6.5487307310104370e-001</left_val>
-            <right_val>-4.6831071376800537e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 15 3 -1.</_>
-                <_>
-                  7 4 5 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9158546626567841e-002</threshold>
-            <left_val>2.5979688763618469e-001</left_val>
-            <right_val>-3.5439720749855042e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 4 4 -1.</_>
-                <_>
-                  5 3 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.1030728965997696e-002</threshold>
-            <left_val>6.5509510040283203e-001</left_val>
-            <right_val>-2.4366210401058197e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 4 6 -1.</_>
-                <_>
-                  16 6 2 3 2.</_>
-                <_>
-                  14 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6160508431494236e-003</threshold>
-            <left_val>-1.4317570626735687e-001</left_val>
-            <right_val>1.9473850727081299e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 4 6 -1.</_>
-                <_>
-                  0 6 2 3 2.</_>
-                <_>
-                  2 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.6910191886126995e-003</threshold>
-            <left_val>-3.7824809551239014e-001</left_val>
-            <right_val>1.7687709629535675e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 10 -1.</_>
-                <_>
-                  16 7 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8749920427799225e-002</threshold>
-            <left_val>-3.2157620787620544e-001</left_val>
-            <right_val>1.8641479313373566e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 10 -1.</_>
-                <_>
-                  0 7 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0602179827401415e-004</threshold>
-            <left_val>-4.5742839574813843e-001</left_val>
-            <right_val>1.3976849615573883e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 3 3 -1.</_>
-                <_>
-                  11 4 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1274269782006741e-002</threshold>
-            <left_val>-9.0355128049850464e-002</left_val>
-            <right_val>2.1887609362602234e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 3 3 -1.</_>
-                <_>
-                  7 4 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.7582680806517601e-002</threshold>
-            <left_val>4.1455930471420288e-001</left_val>
-            <right_val>-1.3666220009326935e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 11 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3641479492653161e-004</threshold>
-            <left_val>-4.6728670597076416e-001</left_val>
-            <right_val>1.1781200021505356e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 3 -1.</_>
-                <_>
-                  11 4 2 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1871670186519623e-001</threshold>
-            <left_val>3.1791681051254272e-001</left_val>
-            <right_val>-1.6469870507717133e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 2 9 -1.</_>
-                <_>
-                  9 3 2 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9392369687557220e-001</threshold>
-            <left_val>5.0983601249754429e-003</left_val>
-            <right_val>-8.0679917335510254e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 9 2 -1.</_>
-                <_>
-                  9 3 3 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8230450153350830e-001</threshold>
-            <left_val>-3.8811311125755310e-001</left_val>
-            <right_val>1.5172429382801056e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  0 4 18 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5526711344718933e-001</threshold>
-            <left_val>1.5723639726638794e-001</left_val>
-            <right_val>-4.0902090072631836e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 10 2 -1.</_>
-                <_>
-                  4 5 10 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4411959573626518e-002</threshold>
-            <left_val>-1.1094090342521667e-001</left_val>
-            <right_val>4.6774199604988098e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 2 2 -1.</_>
-                <_>
-                  8 0 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8254329663468525e-005</threshold>
-            <left_val>-2.1161890029907227e-001</left_val>
-            <right_val>2.0330640673637390e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 4 -1.</_>
-                <_>
-                  5 3 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8164679184556007e-002</threshold>
-            <left_val>-1.1879099905490875e-001</left_val>
-            <right_val>3.5778549313545227e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 4 -1.</_>
-                <_>
-                  16 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2130060233175755e-002</threshold>
-            <left_val>-6.4840310811996460e-001</left_val>
-            <right_val>6.2937177717685699e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 11 6 1 -1.</_>
-                <_>
-                  7 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7364839166402817e-003</threshold>
-            <left_val>-6.3039177656173706e-001</left_val>
-            <right_val>5.1388788968324661e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 6 -1.</_>
-                <_>
-                  6 0 6 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6935800015926361e-001</threshold>
-            <left_val>2.0276680588722229e-001</left_val>
-            <right_val>-1.8470560014247894e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 4 -1.</_>
-                <_>
-                  4 1 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0143039301037788e-002</threshold>
-            <left_val>-1.2960250675678253e-001</left_val>
-            <right_val>2.7041170001029968e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 4 -1.</_>
-                <_>
-                  16 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2918629683554173e-002</threshold>
-            <left_val>3.7680979818105698e-002</left_val>
-            <right_val>-4.9257808923721313e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 6 2 -1.</_>
-                <_>
-                  3 5 3 1 2.</_>
-                <_>
-                  6 6 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.4791330844163895e-003</threshold>
-            <left_val>3.2607930898666382e-001</left_val>
-            <right_val>-1.0927549749612808e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 3 2 -1.</_>
-                <_>
-                  9 0 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.3150310888886452e-003</threshold>
-            <left_val>-5.7017749547958374e-001</left_val>
-            <right_val>5.1293510943651199e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 4 -1.</_>
-                <_>
-                  0 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5133788846433163e-003</threshold>
-            <left_val>-4.2573130130767822e-001</left_val>
-            <right_val>6.7410148680210114e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 3 -1.</_>
-                <_>
-                  4 1 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5038039311766624e-002</threshold>
-            <left_val>3.4961760044097900e-001</left_val>
-            <right_val>-1.0028000175952911e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 3 -1.</_>
-                <_>
-                  2 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5786489471793175e-002</threshold>
-            <left_val>6.5336212515830994e-002</left_val>
-            <right_val>-4.7719699144363403e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0188970956951380e-003</threshold>
-            <left_val>2.0141409337520599e-001</left_val>
-            <right_val>-1.3781909644603729e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 3 3 -1.</_>
-                <_>
-                  0 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5845090150833130e-002</threshold>
-            <left_val>4.6465918421745300e-002</left_val>
-            <right_val>-6.0951578617095947e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 2 1 -1.</_>
-                <_>
-                  9 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4102370738983154e-003</threshold>
-            <left_val>1.5361309982836246e-002</left_val>
-            <right_val>-6.8296772241592407e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 1 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.4094279184937477e-003</threshold>
-            <left_val>-7.9418838024139404e-002</left_val>
-            <right_val>3.7774890661239624e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 9 3 3 -1.</_>
-                <_>
-                  11 9 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.1723483055830002e-003</threshold>
-            <left_val>-5.0129491090774536e-001</left_val>
-            <right_val>4.2223211377859116e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 2 4 -1.</_>
-                <_>
-                  5 5 1 2 2.</_>
-                <_>
-                  6 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8078318834304810e-003</threshold>
-            <left_val>-9.7935520112514496e-002</left_val>
-            <right_val>3.0242648720741272e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 2 1 -1.</_>
-                <_>
-                  9 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.6367846708744764e-005</threshold>
-            <left_val>-1.2192639708518982e-001</left_val>
-            <right_val>1.6515390574932098e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 1 -1.</_>
-                <_>
-                  8 10 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0094821644015610e-005</threshold>
-            <left_val>1.8640710413455963e-001</left_val>
-            <right_val>-1.6429470479488373e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 9 4 -1.</_>
-                <_>
-                  5 2 9 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2277779430150986e-002</threshold>
-            <left_val>4.2195519804954529e-001</left_val>
-            <right_val>-5.8824878185987473e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 6 4 -1.</_>
-                <_>
-                  6 4 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1149210631847382e-002</threshold>
-            <left_val>2.0251630246639252e-001</left_val>
-            <right_val>-1.3794210553169250e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 10 2 2 -1.</_>
-                <_>
-                  16 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.2650636613834649e-005</threshold>
-            <left_val>-1.9383859634399414e-001</left_val>
-            <right_val>1.1907099932432175e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 2 -1.</_>
-                <_>
-                  8 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7700327858328819e-003</threshold>
-            <left_val>4.4557921588420868e-002</left_val>
-            <right_val>-5.6677401065826416e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 7 8 -1.</_>
-                <_>
-                  7 2 7 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1755479872226715e-001</threshold>
-            <left_val>-4.2800500988960266e-002</left_val>
-            <right_val>3.6108881235122681e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 2 4 -1.</_>
-                <_>
-                  0 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.6330074593424797e-003</threshold>
-            <left_val>5.1822990179061890e-002</left_val>
-            <right_val>-5.2042788267135620e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 8 5 3 -1.</_>
-                <_>
-                  13 9 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0586889237165451e-002</threshold>
-            <left_val>-4.0654578804969788e-001</left_val>
-            <right_val>2.5355400517582893e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 5 3 -1.</_>
-                <_>
-                  4 4 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.6531819254159927e-002</threshold>
-            <left_val>3.0200049281120300e-001</left_val>
-            <right_val>-7.8816160559654236e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 4 -1.</_>
-                <_>
-                  11 6 1 2 2.</_>
-                <_>
-                  10 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0697710327804089e-002</threshold>
-            <left_val>-3.5472430288791656e-002</left_val>
-            <right_val>2.2002260386943817e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 5 3 -1.</_>
-                <_>
-                  0 9 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2925930097699165e-002</threshold>
-            <left_val>3.5583890974521637e-002</left_val>
-            <right_val>-6.5233951807022095e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 2 2 -1.</_>
-                <_>
-                  15 0 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6979500651359558e-002</threshold>
-            <left_val>-3.5206571221351624e-001</left_val>
-            <right_val>2.8009910136461258e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 2 -1.</_>
-                <_>
-                  3 0 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.8478220328688622e-002</threshold>
-            <left_val>4.4543039053678513e-002</left_val>
-            <right_val>-5.0304412841796875e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 4 -1.</_>
-                <_>
-                  11 6 1 2 2.</_>
-                <_>
-                  10 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.4793421402573586e-003</threshold>
-            <left_val>2.5836798548698425e-001</left_val>
-            <right_val>-4.2940050363540649e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 4 -1.</_>
-                <_>
-                  6 6 1 2 2.</_>
-                <_>
-                  7 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6482921354472637e-003</threshold>
-            <left_val>-8.1515468657016754e-002</left_val>
-            <right_val>2.7649441361427307e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 9 3 3 -1.</_>
-                <_>
-                  11 9 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.8102410770952702e-003</threshold>
-            <left_val>3.8798350840806961e-002</left_val>
-            <right_val>-4.4269979000091553e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 3 3 -1.</_>
-                <_>
-                  6 9 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.2882793396711349e-003</threshold>
-            <left_val>-5.6610691547393799e-001</left_val>
-            <right_val>3.7403721362352371e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 11 2 1 -1.</_>
-                <_>
-                  11 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.3019756604917347e-005</threshold>
-            <left_val>1.2570169568061829e-001</left_val>
-            <right_val>-1.2166970223188400e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 4 11 -1.</_>
-                <_>
-                  2 1 2 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2011100351810455e-001</threshold>
-            <left_val>-2.8434859588742256e-002</left_val>
-            <right_val>7.4229037761688232e-001</right_val></_></_></trees>
-      <stage_threshold>-1.7087210416793823e+000</stage_threshold>
-      <parent>5</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 7 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5502790957689285e-002</threshold>
-            <left_val>7.6810652017593384e-001</left_val>
-            <right_val>-3.4562450647354126e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 10 9 -1.</_>
-                <_>
-                  6 4 10 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0711760222911835e-001</threshold>
-            <left_val>3.3520048856735229e-001</left_val>
-            <right_val>-3.5342261195182800e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 3 3 -1.</_>
-                <_>
-                  6 4 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.8090940564870834e-002</threshold>
-            <left_val>6.4589887857437134e-001</left_val>
-            <right_val>-1.9888919591903687e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 3 -1.</_>
-                <_>
-                  14 5 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1236749589443207e-002</threshold>
-            <left_val>1.9605120643973351e-002</left_val>
-            <right_val>-1.3818189501762390e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 2 5 -1.</_>
-                <_>
-                  2 4 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5111398212611675e-003</threshold>
-            <left_val>2.2876060009002686e-001</left_val>
-            <right_val>-3.1510901451110840e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9242960261180997e-003</threshold>
-            <left_val>2.1156929433345795e-001</left_val>
-            <right_val>-1.3428880274295807e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 7 6 -1.</_>
-                <_>
-                  0 9 7 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1934859007596970e-002</threshold>
-            <left_val>-4.9654480814933777e-001</left_val>
-            <right_val>1.0631070286035538e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3527929335832596e-003</threshold>
-            <left_val>-7.7351443469524384e-002</left_val>
-            <right_val>3.3729350566864014e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 1 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6215040385723114e-003</threshold>
-            <left_val>-8.1691898405551910e-002</left_val>
-            <right_val>4.6233668923377991e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 12 6 -1.</_>
-                <_>
-                  7 5 4 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0378379151225090e-002</threshold>
-            <left_val>1.3168209791183472e-001</left_val>
-            <right_val>-3.5178178548812866e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 8 3 -1.</_>
-                <_>
-                  7 9 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2714441418647766e-002</threshold>
-            <left_val>-6.3405597209930420e-001</left_val>
-            <right_val>7.7019467949867249e-002</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 3 -1.</_>
-                <_>
-                  4 0 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9768450409173965e-002</threshold>
-            <left_val>-2.1647900342941284e-001</left_val>
-            <right_val>1.9565519690513611e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 12 2 -1.</_>
-                <_>
-                  3 11 12 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9163479339331388e-003</threshold>
-            <left_val>-3.5658559203147888e-001</left_val>
-            <right_val>9.7441449761390686e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 2 3 -1.</_>
-                <_>
-                  11 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1110129766166210e-002</threshold>
-            <left_val>1.6842029988765717e-001</left_val>
-            <right_val>-1.1107269674539566e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 10 2 -1.</_>
-                <_>
-                  4 5 10 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0324539393186569e-002</threshold>
-            <left_val>-9.7157396376132965e-002</left_val>
-            <right_val>3.7280368804931641e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 2 3 -1.</_>
-                <_>
-                  11 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.3062889017164707e-003</threshold>
-            <left_val>3.4338738769292831e-002</left_val>
-            <right_val>-3.7133701145648956e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 3 2 -1.</_>
-                <_>
-                  7 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.1981669589877129e-002</threshold>
-            <left_val>3.8905361294746399e-001</left_val>
-            <right_val>-1.0749849677085876e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 9 3 3 -1.</_>
-                <_>
-                  15 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0463249869644642e-002</threshold>
-            <left_val>5.8108348399400711e-002</left_val>
-            <right_val>-4.9651509523391724e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 12 -1.</_>
-                <_>
-                  0 6 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6034088581800461e-002</threshold>
-            <left_val>-4.9659618735313416e-001</left_val>
-            <right_val>6.0606569051742554e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 6 3 -1.</_>
-                <_>
-                  10 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8891820460557938e-002</threshold>
-            <left_val>-5.7386201620101929e-001</left_val>
-            <right_val>3.3857319504022598e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 3 3 -1.</_>
-                <_>
-                  0 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1050649918615818e-002</threshold>
-            <left_val>4.5335989445447922e-002</left_val>
-            <right_val>-5.9945368766784668e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 4 3 -1.</_>
-                <_>
-                  14 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1056279763579369e-002</threshold>
-            <left_val>-4.3665930628776550e-001</left_val>
-            <right_val>4.1093189269304276e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7272779718041420e-002</threshold>
-            <left_val>1.7343489825725555e-001</left_val>
-            <right_val>-1.7528730630874634e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 4 -1.</_>
-                <_>
-                  4 1 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6496959626674652e-002</threshold>
-            <left_val>3.9858031272888184e-001</left_val>
-            <right_val>-8.1219650804996490e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 4 3 -1.</_>
-                <_>
-                  0 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.0351969227194786e-003</threshold>
-            <left_val>-5.2099347114562988e-001</left_val>
-            <right_val>6.8034321069717407e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 7 4 -1.</_>
-                <_>
-                  6 1 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9475150406360626e-002</threshold>
-            <left_val>-9.3318670988082886e-002</left_val>
-            <right_val>3.1671538949012756e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 3 -1.</_>
-                <_>
-                  5 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.7668059170246124e-003</threshold>
-            <left_val>6.1611980199813843e-002</left_val>
-            <right_val>-4.7003281116485596e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 2 3 -1.</_>
-                <_>
-                  10 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4267800375819206e-002</threshold>
-            <left_val>-4.1417431086301804e-002</left_val>
-            <right_val>3.2682031393051147e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  5 6 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4627629891037941e-002</threshold>
-            <left_val>2.5459268689155579e-001</left_val>
-            <right_val>-9.2211320996284485e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7443440407514572e-002</threshold>
-            <left_val>2.1452540159225464e-001</left_val>
-            <right_val>-1.1371590197086334e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 3 -1.</_>
-                <_>
-                  5 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8959967941045761e-003</threshold>
-            <left_val>-4.2572760581970215e-001</left_val>
-            <right_val>6.0067750513553619e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 18 1 -1.</_>
-                <_>
-                  0 11 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.7234968543052673e-002</threshold>
-            <left_val>3.8733281195163727e-002</left_val>
-            <right_val>-5.4066091775894165e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 1 4 -1.</_>
-                <_>
-                  0 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.0929659046232700e-003</threshold>
-            <left_val>4.5729279518127441e-002</left_val>
-            <right_val>-4.5329090952873230e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 3 -1.</_>
-                <_>
-                  7 3 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.4982849657535553e-003</threshold>
-            <left_val>-1.1133170127868652e-001</left_val>
-            <right_val>1.9510190188884735e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 11 8 -1.</_>
-                <_>
-                  2 2 11 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3983149826526642e-001</threshold>
-            <left_val>2.7004420757293701e-001</left_val>
-            <right_val>-1.1368890106678009e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 12 11 -1.</_>
-                <_>
-                  4 1 6 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3544949293136597e-001</threshold>
-            <left_val>-3.8515809923410416e-002</left_val>
-            <right_val>2.3026439547538757e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 11 8 1 -1.</_>
-                <_>
-                  5 11 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0409420356154442e-002</threshold>
-            <left_val>4.4020529836416245e-002</left_val>
-            <right_val>-5.2599149942398071e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 2 4 -1.</_>
-                <_>
-                  10 4 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2654508724808693e-003</threshold>
-            <left_val>1.0057310014963150e-001</left_val>
-            <right_val>-1.2344259768724442e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 4 4 -1.</_>
-                <_>
-                  6 4 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1060579679906368e-002</threshold>
-            <left_val>-8.1759817898273468e-002</left_val>
-            <right_val>3.6806258559226990e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 4 -1.</_>
-                <_>
-                  15 3 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7567450180649757e-002</threshold>
-            <left_val>-3.7257051467895508e-001</left_val>
-            <right_val>4.9060110002756119e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 2 3 -1.</_>
-                <_>
-                  0 7 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1153019964694977e-002</threshold>
-            <left_val>3.1007820740342140e-002</left_val>
-            <right_val>-6.5017551183700562e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 3 -1.</_>
-                <_>
-                  16 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.4512670226395130e-002</threshold>
-            <left_val>4.9902249127626419e-002</left_val>
-            <right_val>-3.2837110757827759e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 3 3 -1.</_>
-                <_>
-                  2 1 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2447660565376282e-002</threshold>
-            <left_val>-4.2730820178985596e-001</left_val>
-            <right_val>5.1438558846712112e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 8 3 -1.</_>
-                <_>
-                  9 9 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1137849651277065e-004</threshold>
-            <left_val>1.0777100175619125e-001</left_val>
-            <right_val>-1.4144800603389740e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 3 5 -1.</_>
-                <_>
-                  7 4 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.8043689243495464e-003</threshold>
-            <left_val>2.5245690345764160e-001</left_val>
-            <right_val>-8.8355191051959991e-002</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 8 2 2 -1.</_>
-                <_>
-                  15 8 1 1 2.</_>
-                <_>
-                  14 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1319419718347490e-004</threshold>
-            <left_val>-9.0738296508789063e-002</left_val>
-            <right_val>1.1057420074939728e-001</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 2 2 -1.</_>
-                <_>
-                  2 8 1 1 2.</_>
-                <_>
-                  3 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.8332180641591549e-005</threshold>
-            <left_val>-1.4923529326915741e-001</left_val>
-            <right_val>1.4092969894409180e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 3 -1.</_>
-                <_>
-                  7 0 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1529871523380280e-002</threshold>
-            <left_val>-5.3849858045578003e-001</left_val>
-            <right_val>3.7263870239257813e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 2 2 -1.</_>
-                <_>
-                  2 8 1 1 2.</_>
-                <_>
-                  3 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.4064602560829371e-005</threshold>
-            <left_val>1.7529909312725067e-001</left_val>
-            <right_val>-1.1037810146808624e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 7 15 4 -1.</_>
-                <_>
-                  8 7 5 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.0910630971193314e-002</threshold>
-            <left_val>6.7305542528629303e-002</left_val>
-            <right_val>-5.1418140530586243e-002</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 14 12 -1.</_>
-                <_>
-                  7 0 7 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8795659542083740e-001</threshold>
-            <left_val>-4.7617539763450623e-002</left_val>
-            <right_val>4.4013059139251709e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 4 6 -1.</_>
-                <_>
-                  14 1 2 3 2.</_>
-                <_>
-                  12 4 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.4567220397293568e-003</threshold>
-            <left_val>-1.1678449809551239e-001</left_val>
-            <right_val>1.9663040339946747e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 14 4 -1.</_>
-                <_>
-                  1 2 14 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3024981617927551e-002</threshold>
-            <left_val>-1.1936070024967194e-001</left_val>
-            <right_val>2.1602100133895874e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5381961166858673e-002</threshold>
-            <left_val>-3.8685059547424316e-001</left_val>
-            <right_val>5.3844269365072250e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 3 3 -1.</_>
-                <_>
-                  0 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0128320902585983e-002</threshold>
-            <left_val>-6.3146728277206421e-001</left_val>
-            <right_val>3.5852450877428055e-002</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 9 3 -1.</_>
-                <_>
-                  5 3 9 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9262129217386246e-002</threshold>
-            <left_val>3.1658959388732910e-001</left_val>
-            <right_val>-7.7322661876678467e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 2 3 -1.</_>
-                <_>
-                  5 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.1860150620341301e-002</threshold>
-            <left_val>-5.4143399000167847e-001</left_val>
-            <right_val>3.9601378142833710e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 4 4 -1.</_>
-                <_>
-                  8 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.7890069223940372e-003</threshold>
-            <left_val>1.6942089796066284e-001</left_val>
-            <right_val>-1.2422429770231247e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 9 8 3 -1.</_>
-                <_>
-                  5 9 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8938779383897781e-002</threshold>
-            <left_val>-5.5230420827865601e-001</left_val>
-            <right_val>3.6004111170768738e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 6 3 -1.</_>
-                <_>
-                  10 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9549999162554741e-002</threshold>
-            <left_val>1.2396270409226418e-002</left_val>
-            <right_val>-4.6334400773048401e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 3 1 -1.</_>
-                <_>
-                  8 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7805092073976994e-003</threshold>
-            <left_val>-4.6647120267152786e-002</left_val>
-            <right_val>4.0929031372070313e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 6 3 -1.</_>
-                <_>
-                  10 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6484359279274940e-002</threshold>
-            <left_val>-1.6388489305973053e-001</left_val>
-            <right_val>3.5984411835670471e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 2 1 -1.</_>
-                <_>
-                  5 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8519893577322364e-005</threshold>
-            <left_val>1.3505099713802338e-001</left_val>
-            <right_val>-1.4988400042057037e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 4 -1.</_>
-                <_>
-                  13 1 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.7466499507427216e-002</threshold>
-            <left_val>-1.0657619684934616e-002</left_val>
-            <right_val>2.4209600687026978e-001</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 4 -1.</_>
-                <_>
-                  5 1 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.9877569079399109e-002</threshold>
-            <left_val>4.3212598562240601e-001</left_val>
-            <right_val>-3.9752040058374405e-002</right_val></_></_></trees>
-      <stage_threshold>-1.6544970273971558e+000</stage_threshold>
-      <parent>6</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 8 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3002170249819756e-002</threshold>
-            <left_val>-3.5921901464462280e-001</left_val>
-            <right_val>7.2445052862167358e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 11 8 -1.</_>
-                <_>
-                  6 8 11 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8081539273262024e-001</threshold>
-            <left_val>-3.1760689616203308e-001</left_val>
-            <right_val>2.8313899040222168e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 16 8 -1.</_>
-                <_>
-                  4 4 8 8 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0230190306901932e-001</threshold>
-            <left_val>2.7121749520301819e-001</left_val>
-            <right_val>-4.0805050730705261e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 2 1 9 -1.</_>
-                <_>
-                  14 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0124780759215355e-003</threshold>
-            <left_val>9.5718100666999817e-002</left_val>
-            <right_val>-1.6140650212764740e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 15 2 -1.</_>
-                <_>
-                  5 6 5 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9238969087600708e-001</threshold>
-            <left_val>-2.9914049082435668e-004</left_val>
-            <right_val>-1.5149759521484375e+003</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 4 -1.</_>
-                <_>
-                  9 5 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8283270075917244e-002</threshold>
-            <left_val>2.6549229025840759e-001</left_val>
-            <right_val>-1.3133880496025085e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 1 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6253510043025017e-003</threshold>
-            <left_val>-2.3768079280853271e-001</left_val>
-            <right_val>4.5994341373443604e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 1 1 6 -1.</_>
-                <_>
-                  8 3 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.9781410470604897e-002</threshold>
-            <left_val>2.1161870658397675e-001</left_val>
-            <right_val>-1.3860809616744518e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 1 9 -1.</_>
-                <_>
-                  3 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6370929777622223e-002</threshold>
-            <left_val>1.9874550402164459e-001</left_val>
-            <right_val>-3.2648208737373352e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 11 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.4193690195679665e-003</threshold>
-            <left_val>-3.6268979310989380e-001</left_val>
-            <right_val>1.1069930344820023e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 6 2 -1.</_>
-                <_>
-                  11 3 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.7248339056968689e-002</threshold>
-            <left_val>1.9361220300197601e-001</left_val>
-            <right_val>-2.6778540015220642e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 3 -1.</_>
-                <_>
-                  12 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.4205381572246552e-003</threshold>
-            <left_val>-1.3904230296611786e-001</left_val>
-            <right_val>2.9838430881500244e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 3 3 -1.</_>
-                <_>
-                  5 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7426397688686848e-003</threshold>
-            <left_val>3.2052099704742432e-001</left_val>
-            <right_val>-1.0433880239725113e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 4 1 -1.</_>
-                <_>
-                  10 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6206389777362347e-003</threshold>
-            <left_val>1.6167849302291870e-001</left_val>
-            <right_val>-6.5803676843643188e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8714519217610359e-002</threshold>
-            <left_val>1.9818380475044250e-001</left_val>
-            <right_val>-1.6230210661888123e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 6 3 -1.</_>
-                <_>
-                  10 0 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3710019439458847e-002</threshold>
-            <left_val>-7.4743181467056274e-001</left_val>
-            <right_val>4.9251399934291840e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 6 6 -1.</_>
-                <_>
-                  5 2 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.1742817759513855e-002</threshold>
-            <left_val>4.3014928698539734e-001</left_val>
-            <right_val>-8.6288601160049438e-002</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 6 4 -1.</_>
-                <_>
-                  10 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6524080205708742e-003</threshold>
-            <left_val>1.3674829900264740e-001</left_val>
-            <right_val>-1.4051650464534760e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 4 1 -1.</_>
-                <_>
-                  6 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2031999435275793e-003</threshold>
-            <left_val>3.3417999744415283e-001</left_val>
-            <right_val>-1.0332349687814713e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 6 3 -1.</_>
-                <_>
-                  10 0 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8293890878558159e-002</threshold>
-            <left_val>-3.2057279348373413e-001</left_val>
-            <right_val>4.5155089348554611e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 6 4 -1.</_>
-                <_>
-                  6 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3787179961800575e-002</threshold>
-            <left_val>-4.5069369673728943e-001</left_val>
-            <right_val>6.9767661392688751e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 6 2 -1.</_>
-                <_>
-                  11 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1126540154218674e-002</threshold>
-            <left_val>-7.7986258268356323e-001</left_val>
-            <right_val>1.2120390310883522e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 6 2 -1.</_>
-                <_>
-                  5 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9434019923210144e-002</threshold>
-            <left_val>-6.2219220399856567e-001</left_val>
-            <right_val>3.9394930005073547e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  6 1 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0646529272198677e-002</threshold>
-            <left_val>3.6222419142723083e-001</left_val>
-            <right_val>-8.2135513424873352e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 7 3 -1.</_>
-                <_>
-                  4 1 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6532849520444870e-002</threshold>
-            <left_val>-1.1575960367918015e-001</left_val>
-            <right_val>2.7401360869407654e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 4 3 -1.</_>
-                <_>
-                  8 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.4688721001148224e-003</threshold>
-            <left_val>-6.1177402734756470e-001</left_val>
-            <right_val>4.4638238847255707e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 9 1 2 -1.</_>
-                <_>
-                  3 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5371610061265528e-004</threshold>
-            <left_val>-2.5191861391067505e-001</left_val>
-            <right_val>9.6505373716354370e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 3 16 9 -1.</_>
-                <_>
-                  2 3 8 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.5918158888816833e-001</threshold>
-            <left_val>-4.7843091189861298e-002</left_val>
-            <right_val>2.3324379324913025e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 6 6 -1.</_>
-                <_>
-                  8 4 2 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5841780006885529e-002</threshold>
-            <left_val>1.7269480228424072e-001</left_val>
-            <right_val>-1.4205309748649597e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 12 11 -1.</_>
-                <_>
-                  6 0 6 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9961761236190796e-001</threshold>
-            <left_val>-2.4384410679340363e-001</left_val>
-            <right_val>1.7345370724797249e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 14 12 -1.</_>
-                <_>
-                  7 0 7 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1105909347534180e-001</threshold>
-            <left_val>-6.1212010681629181e-002</left_val>
-            <right_val>4.1000100970268250e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 3 2 4 -1.</_>
-                <_>
-                  16 4 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6058450564742088e-002</threshold>
-            <left_val>-6.0403078794479370e-001</left_val>
-            <right_val>5.7624060660600662e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 3 6 4 -1.</_>
-                <_>
-                  1 3 3 2 2.</_>
-                <_>
-                  4 5 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6918450593948364e-002</threshold>
-            <left_val>1.9921250641345978e-001</left_val>
-            <right_val>-1.2271139770746231e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 4 -1.</_>
-                <_>
-                  15 3 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4193099923431873e-002</threshold>
-            <left_val>5.4869029670953751e-002</left_val>
-            <right_val>-3.7617999315261841e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 3 4 -1.</_>
-                <_>
-                  0 3 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4758260697126389e-002</threshold>
-            <left_val>-7.1052777767181396e-001</left_val>
-            <right_val>3.3381890505552292e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  9 0 9 6 2.</_>
-                <_>
-                  0 6 9 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8228559494018555e-001</threshold>
-            <left_val>-6.2711232900619507e-001</left_val>
-            <right_val>3.2499440014362335e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 2 5 -1.</_>
-                <_>
-                  6 3 1 5 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.6878060773015022e-002</threshold>
-            <left_val>3.0796620249748230e-001</left_val>
-            <right_val>-7.3240749537944794e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 3 2 -1.</_>
-                <_>
-                  15 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3228660449385643e-002</threshold>
-            <left_val>6.9501012563705444e-002</left_val>
-            <right_val>-4.0926951169967651e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 3 -1.</_>
-                <_>
-                  6 3 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9470060020685196e-002</threshold>
-            <left_val>-8.1747382879257202e-002</left_val>
-            <right_val>2.9929721355438232e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 1 -1.</_>
-                <_>
-                  4 0 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3013629987835884e-003</threshold>
-            <left_val>-1.4912730455398560e-001</left_val>
-            <right_val>1.6093279421329498e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 2 3 -1.</_>
-                <_>
-                  3 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0139260217547417e-002</threshold>
-            <left_val>-5.0678992271423340e-001</left_val>
-            <right_val>4.0891159325838089e-002</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 13 4 -1.</_>
-                <_>
-                  3 3 13 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.9374740570783615e-002</threshold>
-            <left_val>2.5256040692329407e-001</left_val>
-            <right_val>-8.5726343095302582e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 3 4 -1.</_>
-                <_>
-                  6 3 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9452260807156563e-002</threshold>
-            <left_val>-7.3688283562660217e-002</left_val>
-            <right_val>3.0949079990386963e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 4 7 -1.</_>
-                <_>
-                  13 4 2 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2352220267057419e-002</threshold>
-            <left_val>2.1833789348602295e-001</left_val>
-            <right_val>-6.8243682384490967e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 7 2 -1.</_>
-                <_>
-                  0 9 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5072959649842232e-004</threshold>
-            <left_val>-3.2836580276489258e-001</left_val>
-            <right_val>6.6381722688674927e-002</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 6 2 6 -1.</_>
-                <_>
-                  13 8 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.1889938078820705e-003</threshold>
-            <left_val>1.3249829411506653e-001</left_val>
-            <right_val>-7.4239932000637054e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 2 6 -1.</_>
-                <_>
-                  3 8 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3619641587138176e-003</threshold>
-            <left_val>-1.2829330563545227e-001</left_val>
-            <right_val>1.5975730121135712e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 16 4 -1.</_>
-                <_>
-                  10 5 8 2 2.</_>
-                <_>
-                  2 7 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2205489724874496e-001</threshold>
-            <left_val>3.1172819435596466e-002</left_val>
-            <right_val>-5.6808418035507202e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 10 9 1 2.</_>
-                <_>
-                  9 11 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.7129599824547768e-002</threshold>
-            <left_val>3.4967660903930664e-002</left_val>
-            <right_val>-5.5332547426223755e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 10 2 2 -1.</_>
-                <_>
-                  15 10 1 1 2.</_>
-                <_>
-                  14 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5683429955970496e-004</threshold>
-            <left_val>-1.0362909734249115e-001</left_val>
-            <right_val>1.1349440366029739e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 2 7 -1.</_>
-                <_>
-                  3 4 1 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7905660942196846e-003</threshold>
-            <left_val>1.3157980144023895e-001</left_val>
-            <right_val>-1.3856770098209381e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8190830014646053e-003</threshold>
-            <left_val>-7.3361650109291077e-002</left_val>
-            <right_val>1.6932620108127594e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 4 -1.</_>
-                <_>
-                  4 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8002679571509361e-002</threshold>
-            <left_val>-5.8490717411041260e-001</left_val>
-            <right_val>3.2903790473937988e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 4 -1.</_>
-                <_>
-                  7 1 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8526639789342880e-002</threshold>
-            <left_val>3.2005688548088074e-001</left_val>
-            <right_val>-6.2653139233589172e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 5 3 -1.</_>
-                <_>
-                  6 2 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0345499739050865e-002</threshold>
-            <left_val>-8.0804906785488129e-002</left_val>
-            <right_val>2.5780761241912842e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 3 -1.</_>
-                <_>
-                  16 6 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6274280846118927e-002</threshold>
-            <left_val>-5.7635939121246338e-001</left_val>
-            <right_val>2.5872429832816124e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 2 3 -1.</_>
-                <_>
-                  0 6 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.5418839007616043e-003</threshold>
-            <left_val>3.3990539610385895e-002</left_val>
-            <right_val>-4.9847429990768433e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 2 -1.</_>
-                <_>
-                  8 0 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0960260182619095e-002</threshold>
-            <left_val>-4.7946169972419739e-001</left_val>
-            <right_val>3.4324679523706436e-002</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 3 3 -1.</_>
-                <_>
-                  6 4 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5699770301580429e-002</threshold>
-            <left_val>-6.5722920000553131e-002</left_val>
-            <right_val>2.9684039950370789e-001</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 4 -1.</_>
-                <_>
-                  12 7 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7905479762703180e-003</threshold>
-            <left_val>-6.5733380615711212e-002</left_val>
-            <right_val>9.4904549419879913e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 1 4 -1.</_>
-                <_>
-                  0 4 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.4030250757932663e-003</threshold>
-            <left_val>3.9892349392175674e-002</left_val>
-            <right_val>-4.1660529375076294e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 4 -1.</_>
-                <_>
-                  16 5 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7734947875142097e-003</threshold>
-            <left_val>2.7001398801803589e-001</left_val>
-            <right_val>-1.5953589975833893e-001</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 2 4 -1.</_>
-                <_>
-                  4 7 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9232229571789503e-003</threshold>
-            <left_val>-1.0599870234727859e-001</left_val>
-            <right_val>1.8253239989280701e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 4 -1.</_>
-                <_>
-                  16 5 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9620529860258102e-003</threshold>
-            <left_val>-5.7123549282550812e-002</left_val>
-            <right_val>2.0644719898700714e-001</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 8 4 4 -1.</_>
-                <_>
-                  5 8 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2356759980320930e-002</threshold>
-            <left_val>4.0755268186330795e-002</left_val>
-            <right_val>-4.4443848729133606e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 4 -1.</_>
-                <_>
-                  16 5 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2156190350651741e-002</threshold>
-            <left_val>1.8296989798545837e-001</left_val>
-            <right_val>-3.4999419003725052e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 2 4 -1.</_>
-                <_>
-                  1 5 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7678279913961887e-003</threshold>
-            <left_val>1.4462789893150330e-001</left_val>
-            <right_val>-1.2491580098867416e-001</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 2 -1.</_>
-                <_>
-                  15 0 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9276840612292290e-002</threshold>
-            <left_val>-6.2840022146701813e-002</left_val>
-            <right_val>1.9151060283184052e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 2 2 -1.</_>
-                <_>
-                  2 0 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.4216519929468632e-003</threshold>
-            <left_val>2.1568669378757477e-001</left_val>
-            <right_val>-8.9786492288112640e-002</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 6 2 4 -1.</_>
-                <_>
-                  16 7 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0339300855994225e-002</threshold>
-            <left_val>-5.9200441837310791e-001</left_val>
-            <right_val>1.6503969207406044e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 2 4 -1.</_>
-                <_>
-                  0 7 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1275880038738251e-002</threshold>
-            <left_val>3.1583100557327271e-002</left_val>
-            <right_val>-5.1892447471618652e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 3 2 -1.</_>
-                <_>
-                  15 0 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7946176538243890e-005</threshold>
-            <left_val>1.4691540598869324e-001</left_val>
-            <right_val>-1.6081510484218597e-001</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 3 2 -1.</_>
-                <_>
-                  2 0 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6277630347758532e-003</threshold>
-            <left_val>1.8870960175991058e-001</left_val>
-            <right_val>-9.3803331255912781e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 12 -1.</_>
-                <_>
-                  16 6 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7238460779190063e-002</threshold>
-            <left_val>5.5480118840932846e-002</left_val>
-            <right_val>-2.6414340734481812e-001</right_val></_></_></trees>
-      <stage_threshold>-1.7957290410995483e+000</stage_threshold>
-      <parent>7</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 9 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7292431592941284e-002</threshold>
-            <left_val>6.6972970962524414e-001</left_val>
-            <right_val>-3.2153728604316711e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 6 -1.</_>
-                <_>
-                  6 4 6 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.4918038845062256e-001</threshold>
-            <left_val>4.3484970927238464e-001</left_val>
-            <right_val>-2.9871198534965515e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 4 3 -1.</_>
-                <_>
-                  2 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2416520155966282e-002</threshold>
-            <left_val>2.6745811104774475e-001</left_val>
-            <right_val>-3.9999490976333618e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 10 14 2 -1.</_>
-                <_>
-                  2 11 14 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.2453971952199936e-003</threshold>
-            <left_val>-4.2438769340515137e-001</left_val>
-            <right_val>2.0234079658985138e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 16 8 -1.</_>
-                <_>
-                  0 8 16 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6846119165420532e-001</threshold>
-            <left_val>-3.5139828920364380e-001</left_val>
-            <right_val>2.0377729833126068e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 4 2 -1.</_>
-                <_>
-                  12 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1723440140485764e-002</threshold>
-            <left_val>-1.8664820492267609e-001</left_val>
-            <right_val>3.3893829584121704e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 8 1 -1.</_>
-                <_>
-                  9 1 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2209510467946529e-003</threshold>
-            <left_val>2.1541909873485565e-001</left_val>
-            <right_val>-2.0584990084171295e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 15 6 -1.</_>
-                <_>
-                  8 3 5 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2216267585754395e-001</threshold>
-            <left_val>-7.7104539377614856e-004</left_val>
-            <right_val>5.6350582838058472e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 2 4 -1.</_>
-                <_>
-                  2 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0613870108500123e-004</threshold>
-            <left_val>-2.3261800408363342e-001</left_val>
-            <right_val>1.3210240006446838e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 3 3 1 -1.</_>
-                <_>
-                  15 4 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8034329637885094e-002</threshold>
-            <left_val>-6.0396319627761841e-001</left_val>
-            <right_val>3.4430969506502151e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 10 2 -1.</_>
-                <_>
-                  0 4 5 1 2.</_>
-                <_>
-                  5 5 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3259000852704048e-002</threshold>
-            <left_val>3.5783469676971436e-001</left_val>
-            <right_val>-8.5259757936000824e-002</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 3 2 -1.</_>
-                <_>
-                  9 5 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0407639667391777e-002</threshold>
-            <left_val>-5.1958288997411728e-002</left_val>
-            <right_val>3.1198269128799438e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 1 3 -1.</_>
-                <_>
-                  3 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1971450410783291e-002</threshold>
-            <left_val>-4.9050408601760864e-001</left_val>
-            <right_val>5.4528221487998962e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 2 4 -1.</_>
-                <_>
-                  10 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7426669150590897e-003</threshold>
-            <left_val>4.4125020503997803e-002</left_val>
-            <right_val>-5.3650841116905212e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 2 4 -1.</_>
-                <_>
-                  6 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8917659297585487e-002</threshold>
-            <left_val>-8.1747300922870636e-002</left_val>
-            <right_val>4.1203048825263977e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 10 1 2 -1.</_>
-                <_>
-                  14 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1007690045516938e-004</threshold>
-            <left_val>-1.3551560044288635e-001</left_val>
-            <right_val>8.5857532918453217e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 4 3 -1.</_>
-                <_>
-                  0 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3918640092015266e-002</threshold>
-            <left_val>4.8517379909753799e-002</left_val>
-            <right_val>-5.8116322755813599e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 1 3 -1.</_>
-                <_>
-                  8 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0104410350322723e-002</threshold>
-            <left_val>1.5834890305995941e-001</left_val>
-            <right_val>-6.0111179947853088e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 6 2 -1.</_>
-                <_>
-                  4 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8620710819959641e-002</threshold>
-            <left_val>2.7867808938026428e-001</left_val>
-            <right_val>-1.0338810086250305e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 9 1 2 -1.</_>
-                <_>
-                  15 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7289921678602695e-003</threshold>
-            <left_val>2.8767310082912445e-002</left_val>
-            <right_val>-3.4044471383094788e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 9 1 2 -1.</_>
-                <_>
-                  2 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.1226633230689913e-005</threshold>
-            <left_val>-2.5967589020729065e-001</left_val>
-            <right_val>1.1362390220165253e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 2 4 -1.</_>
-                <_>
-                  8 4 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7600089311599731e-002</threshold>
-            <left_val>8.0204762518405914e-002</left_val>
-            <right_val>-6.6199533641338348e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 4 6 -1.</_>
-                <_>
-                  6 5 2 3 2.</_>
-                <_>
-                  8 8 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6003769859671593e-003</threshold>
-            <left_val>-1.7382130026817322e-001</left_val>
-            <right_val>1.4224979281425476e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 8 3 -1.</_>
-                <_>
-                  7 1 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1345998644828796e-002</threshold>
-            <left_val>-6.0982871055603027e-001</left_val>
-            <right_val>3.9992429316043854e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  9 0 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1171320006251335e-002</threshold>
-            <left_val>-8.9795216917991638e-002</left_val>
-            <right_val>2.6572328805923462e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 1 -1.</_>
-                <_>
-                  4 0 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.2339180409908295e-003</threshold>
-            <left_val>-1.3240410387516022e-001</left_val>
-            <right_val>1.7500220239162445e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 1 -1.</_>
-                <_>
-                  6 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9637310653924942e-003</threshold>
-            <left_val>2.7044069766998291e-001</left_val>
-            <right_val>-8.2514546811580658e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 3 12 -1.</_>
-                <_>
-                  14 0 1 12 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0435279691591859e-003</threshold>
-            <left_val>1.2740360200405121e-001</left_val>
-            <right_val>-1.4733490347862244e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 3 12 -1.</_>
-                <_>
-                  3 0 1 12 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6916971206665039e-002</threshold>
-            <left_val>-5.5704081058502197e-001</left_val>
-            <right_val>4.0161561220884323e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 3 7 -1.</_>
-                <_>
-                  13 5 1 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4235499333590269e-003</threshold>
-            <left_val>1.6954079270362854e-001</left_val>
-            <right_val>-1.0382679849863052e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 3 7 -1.</_>
-                <_>
-                  4 5 1 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4884609282016754e-002</threshold>
-            <left_val>-7.6003962755203247e-001</left_val>
-            <right_val>2.8784649446606636e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 4 1 -1.</_>
-                <_>
-                  13 4 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4949830074328929e-004</threshold>
-            <left_val>5.8567389845848083e-002</left_val>
-            <right_val>-8.6837686598300934e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 2 -1.</_>
-                <_>
-                  0 4 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.4154512733221054e-003</threshold>
-            <left_val>-4.5848670601844788e-001</left_val>
-            <right_val>4.6183209866285324e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 4 1 -1.</_>
-                <_>
-                  13 4 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.5011990219354630e-002</threshold>
-            <left_val>-1.2734670192003250e-002</left_val>
-            <right_val>1.5709209442138672e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 1 4 -1.</_>
-                <_>
-                  5 4 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.9370932730380446e-005</threshold>
-            <left_val>9.6763700246810913e-002</left_val>
-            <right_val>-2.2434939444065094e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 5 2 -1.</_>
-                <_>
-                  8 4 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1338040009140968e-002</threshold>
-            <left_val>-2.7949279174208641e-002</left_val>
-            <right_val>4.5690038800239563e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 6 5 -1.</_>
-                <_>
-                  8 4 2 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9381210207939148e-002</threshold>
-            <left_val>1.3209809362888336e-001</left_val>
-            <right_val>-1.5854920446872711e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7130910456180573e-002</threshold>
-            <left_val>-4.0985769033432007e-001</left_val>
-            <right_val>6.9916889071464539e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 3 5 -1.</_>
-                <_>
-                  7 4 1 5 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.7448350340127945e-002</threshold>
-            <left_val>-4.7214321792125702e-002</left_val>
-            <right_val>4.6269690990447998e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 2 3 3 -1.</_>
-                <_>
-                  13 3 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6145069152116776e-002</threshold>
-            <left_val>1.5716019272804260e-001</left_val>
-            <right_val>-6.5406262874603271e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 3 3 -1.</_>
-                <_>
-                  5 3 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3192090205848217e-002</threshold>
-            <left_val>-9.3616731464862823e-002</left_val>
-            <right_val>2.3192650079727173e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 3 3 -1.</_>
-                <_>
-                  9 9 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.4546551331877708e-003</threshold>
-            <left_val>3.3262088894844055e-002</left_val>
-            <right_val>-4.8058581352233887e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 3 3 -1.</_>
-                <_>
-                  8 9 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.5358411520719528e-003</threshold>
-            <left_val>3.9861779659986496e-002</left_val>
-            <right_val>-5.2071362733840942e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 4 -1.</_>
-                <_>
-                  17 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1007690045516938e-004</threshold>
-            <left_val>1.0615369677543640e-001</left_val>
-            <right_val>-1.4794890582561493e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 6 5 -1.</_>
-                <_>
-                  9 4 3 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.4008360952138901e-002</threshold>
-            <left_val>2.6703369617462158e-001</left_val>
-            <right_val>-7.9568542540073395e-002</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 16 11 -1.</_>
-                <_>
-                  2 1 8 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1774560213088989e-001</threshold>
-            <left_val>1.6545580327510834e-001</left_val>
-            <right_val>-5.5510718375444412e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 3 -1.</_>
-                <_>
-                  7 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2961000204086304e-002</threshold>
-            <left_val>3.8905121386051178e-002</left_val>
-            <right_val>-5.3931367397308350e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 2 3 -1.</_>
-                <_>
-                  8 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4969130046665668e-002</threshold>
-            <left_val>3.0878359079360962e-001</left_val>
-            <right_val>-7.2156012058258057e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 1 4 -1.</_>
-                <_>
-                  0 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.1595158874988556e-003</threshold>
-            <left_val>4.1552640497684479e-002</left_val>
-            <right_val>-4.4410169124603271e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 11 2 1 -1.</_>
-                <_>
-                  11 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0106719855684787e-004</threshold>
-            <left_val>1.3232690095901489e-001</left_val>
-            <right_val>-1.2352719902992249e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 4 1 -1.</_>
-                <_>
-                  10 5 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2458950281143188e-002</threshold>
-            <left_val>1.4162090420722961e-001</left_val>
-            <right_val>-1.2240760028362274e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 3 -1.</_>
-                <_>
-                  7 3 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8788089975714684e-002</threshold>
-            <left_val>2.9809600114822388e-001</left_val>
-            <right_val>-6.1062760651111603e-002</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9027970507740974e-002</threshold>
-            <left_val>1.8160690367221832e-001</left_val>
-            <right_val>-1.0429889708757401e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 3 -1.</_>
-                <_>
-                  6 2 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2969439849257469e-002</threshold>
-            <left_val>2.6630058884620667e-001</left_val>
-            <right_val>-7.0843391120433807e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 16 4 -1.</_>
-                <_>
-                  0 4 16 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.8657860606908798e-002</threshold>
-            <left_val>1.8037420511245728e-001</left_val>
-            <right_val>-1.1353269964456558e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 11 2 1 -1.</_>
-                <_>
-                  11 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0443449718877673e-004</threshold>
-            <left_val>-1.1833500117063522e-001</left_val>
-            <right_val>1.7454829812049866e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 11 2 1 -1.</_>
-                <_>
-                  6 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3140009832568467e-004</threshold>
-            <left_val>1.4330400526523590e-001</left_val>
-            <right_val>-1.4002929627895355e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 14 12 -1.</_>
-                <_>
-                  4 0 7 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.7764278650283813e-001</threshold>
-            <left_val>-8.1180518865585327e-001</left_val>
-            <right_val>4.8811929300427437e-003</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 14 12 -1.</_>
-                <_>
-                  7 0 7 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0272060632705688e-001</threshold>
-            <left_val>-4.6920161694288254e-002</left_val>
-            <right_val>4.6565508842468262e-001</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 7 1 4 -1.</_>
-                <_>
-                  15 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2083619832992554e-002</threshold>
-            <left_val>1.3714229688048363e-002</left_val>
-            <right_val>-4.8584228754043579e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 7 1 4 -1.</_>
-                <_>
-                  2 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.3657556388061494e-005</threshold>
-            <left_val>-1.4557360112667084e-001</left_val>
-            <right_val>1.2107980251312256e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 8 17 4 -1.</_>
-                <_>
-                  1 10 17 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2459480203688145e-002</threshold>
-            <left_val>-3.1913518905639648e-001</left_val>
-            <right_val>4.5050200074911118e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 8 12 3 -1.</_>
-                <_>
-                  5 8 4 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6598379313945770e-002</threshold>
-            <left_val>-4.7412630915641785e-001</left_val>
-            <right_val>3.4393358975648880e-002</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 4 3 -1.</_>
-                <_>
-                  12 3 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.3489827811717987e-003</threshold>
-            <left_val>-6.4854227006435394e-002</left_val>
-            <right_val>1.3588410615921021e-001</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 4 3 -1.</_>
-                <_>
-                  6 1 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6687171608209610e-003</threshold>
-            <left_val>-3.8394901156425476e-001</left_val>
-            <right_val>4.5654650777578354e-002</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 4 3 -1.</_>
-                <_>
-                  12 3 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0871540531516075e-002</threshold>
-            <left_val>1.1647360026836395e-001</left_val>
-            <right_val>-4.6159781515598297e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 3 4 -1.</_>
-                <_>
-                  6 3 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.4644650518894196e-002</threshold>
-            <left_val>-6.0594830662012100e-002</left_val>
-            <right_val>2.8827700018882751e-001</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 18 1 -1.</_>
-                <_>
-                  6 11 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3068989850580692e-002</threshold>
-            <left_val>1.7769919335842133e-001</left_val>
-            <right_val>-1.0170739889144897e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 2 4 -1.</_>
-                <_>
-                  0 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0740649886429310e-002</threshold>
-            <left_val>3.3637721091508865e-002</left_val>
-            <right_val>-5.8304959535598755e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 11 2 1 -1.</_>
-                <_>
-                  11 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6638391688466072e-003</threshold>
-            <left_val>-8.2890021800994873e-001</left_val>
-            <right_val>1.0463479906320572e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 11 2 1 -1.</_>
-                <_>
-                  6 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3703710283152759e-004</threshold>
-            <left_val>-1.0685860365629196e-001</left_val>
-            <right_val>1.6701389849185944e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 4 2 -1.</_>
-                <_>
-                  10 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.2855940088629723e-003</threshold>
-            <left_val>2.0125189796090126e-002</left_val>
-            <right_val>-4.8965498805046082e-001</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 2 2 -1.</_>
-                <_>
-                  1 10 1 1 2.</_>
-                <_>
-                  2 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0730550275184214e-004</threshold>
-            <left_val>-1.1978050321340561e-001</left_val>
-            <right_val>1.2677900493144989e-001</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 10 2 2 -1.</_>
-                <_>
-                  16 10 1 1 2.</_>
-                <_>
-                  15 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1701670155161992e-004</threshold>
-            <left_val>1.2513719499111176e-001</left_val>
-            <right_val>-8.4742642939090729e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 2 2 -1.</_>
-                <_>
-                  1 10 1 1 2.</_>
-                <_>
-                  2 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0570519953034818e-004</threshold>
-            <left_val>1.5671330690383911e-001</left_val>
-            <right_val>-1.0472840070724487e-001</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 4 2 -1.</_>
-                <_>
-                  10 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.8277851939201355e-003</threshold>
-            <left_val>-4.2486619949340820e-001</left_val>
-            <right_val>1.2776750139892101e-002</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  8 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0262790136039257e-002</threshold>
-            <left_val>-4.7308981418609619e-001</left_val>
-            <right_val>3.1395319849252701e-002</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 12 2 -1.</_>
-                <_>
-                  7 6 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1773769743740559e-002</threshold>
-            <left_val>7.4253700673580170e-002</left_val>
-            <right_val>-1.9689300656318665e-001</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 2 3 -1.</_>
-                <_>
-                  0 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9177751168608665e-003</threshold>
-            <left_val>-3.1191331148147583e-001</left_val>
-            <right_val>4.5671850442886353e-002</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 11 2 -1.</_>
-                <_>
-                  5 1 11 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3346070200204849e-002</threshold>
-            <left_val>-5.2008550614118576e-002</left_val>
-            <right_val>1.7973770201206207e-001</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 3 2 -1.</_>
-                <_>
-                  6 1 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2126040421426296e-003</threshold>
-            <left_val>1.5479539334774017e-001</left_val>
-            <right_val>-1.0545700043439865e-001</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 10 4 -1.</_>
-                <_>
-                  8 1 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4761550724506378e-001</threshold>
-            <left_val>7.4690231122076511e-003</left_val>
-            <right_val>-8.0544400215148926e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 10 4 -1.</_>
-                <_>
-                  0 1 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.2484388947486877e-003</threshold>
-            <left_val>-1.5604910254478455e-001</left_val>
-            <right_val>1.2632860243320465e-001</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 8 3 -1.</_>
-                <_>
-                  6 1 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1801209077239037e-002</threshold>
-            <left_val>2.4090659618377686e-001</left_val>
-            <right_val>-6.4087331295013428e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 3 2 -1.</_>
-                <_>
-                  0 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1350140925496817e-003</threshold>
-            <left_val>-3.7679758667945862e-001</left_val>
-            <right_val>4.4631399214267731e-002</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 8 -1.</_>
-                <_>
-                  9 4 9 4 2.</_>
-                <_>
-                  0 8 9 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9509729146957397e-001</threshold>
-            <left_val>1.6203410923480988e-002</left_val>
-            <right_val>-8.1572759151458740e-001</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 8 -1.</_>
-                <_>
-                  0 4 18 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.1936417818069458e-001</threshold>
-            <left_val>-6.4044600725173950e-001</left_val>
-            <right_val>1.7519079148769379e-002</right_val></_></_></trees>
-      <stage_threshold>-1.6902129650115967e+000</stage_threshold>
-      <parent>8</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 10 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 3 2 -1.</_>
-                <_>
-                  7 4 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.4664139151573181e-002</threshold>
-            <left_val>6.5977567434310913e-001</left_val>
-            <right_val>-3.1582540273666382e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 7 3 -1.</_>
-                <_>
-                  10 5 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1273490265011787e-002</threshold>
-            <left_val>2.3457850515842438e-001</left_val>
-            <right_val>-1.5769450366497040e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 4 4 -1.</_>
-                <_>
-                  6 3 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.1530959308147430e-002</threshold>
-            <left_val>4.2379489541053772e-001</left_val>
-            <right_val>-2.8518509864807129e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 7 -1.</_>
-                <_>
-                  6 4 6 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0448620617389679e-001</threshold>
-            <left_val>1.8061810731887817e-001</left_val>
-            <right_val>-3.2812160253524780e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 3 4 -1.</_>
-                <_>
-                  3 3 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.1392319835722446e-003</threshold>
-            <left_val>1.4234000444412231e-001</left_val>
-            <right_val>-3.6734649538993835e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 8 -1.</_>
-                <_>
-                  6 0 6 8 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1119210161268711e-002</threshold>
-            <left_val>7.2978653013706207e-002</left_val>
-            <right_val>-1.3348829746246338e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 8 4 -1.</_>
-                <_>
-                  0 10 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3189188949763775e-003</threshold>
-            <left_val>-5.1101410388946533e-001</left_val>
-            <right_val>6.5231300890445709e-002</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7547220233827829e-003</threshold>
-            <left_val>3.2231101393699646e-001</left_val>
-            <right_val>-7.8560419380664825e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 10 2 -1.</_>
-                <_>
-                  4 5 10 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5909250825643539e-002</threshold>
-            <left_val>-1.1302089691162109e-001</left_val>
-            <right_val>3.5444441437721252e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 2 4 -1.</_>
-                <_>
-                  8 4 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.4309048205614090e-002</threshold>
-            <left_val>1.4863179624080658e-001</left_val>
-            <right_val>-5.9663631021976471e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 1 2 -1.</_>
-                <_>
-                  7 4 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.5747098384890705e-005</threshold>
-            <left_val>-2.0395369827747345e-001</left_val>
-            <right_val>2.1945419907569885e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 16 12 -1.</_>
-                <_>
-                  2 6 16 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2961600720882416e-001</threshold>
-            <left_val>-2.5850468873977661e-001</left_val>
-            <right_val>1.4311419427394867e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.7369730416685343e-003</threshold>
-            <left_val>1.5821619331836700e-001</left_val>
-            <right_val>-2.3684109747409821e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  6 0 3 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.9748939238488674e-003</threshold>
-            <left_val>-2.0868189632892609e-001</left_val>
-            <right_val>1.5647380053997040e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 10 4 -1.</_>
-                <_>
-                  0 2 5 2 2.</_>
-                <_>
-                  5 4 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5518669784069061e-002</threshold>
-            <left_val>2.7740669250488281e-001</left_val>
-            <right_val>-9.4154737889766693e-002</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 4 -1.</_>
-                <_>
-                  10 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5643499791622162e-002</threshold>
-            <left_val>-6.5276598930358887e-001</left_val>
-            <right_val>5.8415610343217850e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 4 2 -1.</_>
-                <_>
-                  3 5 2 1 2.</_>
-                <_>
-                  5 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3621069528162479e-003</threshold>
-            <left_val>3.0472820997238159e-001</left_val>
-            <right_val>-9.0583823621273041e-002</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 3 2 -1.</_>
-                <_>
-                  16 2 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.4986742585897446e-003</threshold>
-            <left_val>9.4854839146137238e-002</left_val>
-            <right_val>-3.7641200423240662e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 2 3 -1.</_>
-                <_>
-                  2 2 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2054940462112427e-002</threshold>
-            <left_val>-5.6978279352188110e-001</left_val>
-            <right_val>4.1174288839101791e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 4 2 -1.</_>
-                <_>
-                  10 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.9925974607467651e-003</threshold>
-            <left_val>1.1008080095052719e-002</left_val>
-            <right_val>-6.8029582500457764e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 2 2 -1.</_>
-                <_>
-                  7 6 1 1 2.</_>
-                <_>
-                  8 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6960580144077539e-003</threshold>
-            <left_val>-8.6102768778800964e-002</left_val>
-            <right_val>2.7503418922424316e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 4 2 -1.</_>
-                <_>
-                  10 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.4433060362935066e-003</threshold>
-            <left_val>-4.6109339594841003e-001</left_val>
-            <right_val>2.5336729362607002e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 2 6 -1.</_>
-                <_>
-                  0 6 1 3 2.</_>
-                <_>
-                  1 9 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1906769941560924e-004</threshold>
-            <left_val>-2.0586380362510681e-001</left_val>
-            <right_val>1.0493390262126923e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 8 -1.</_>
-                <_>
-                  17 8 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6572828888893127e-002</threshold>
-            <left_val>4.1884351521730423e-002</left_val>
-            <right_val>-2.6558640599250793e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 1 8 -1.</_>
-                <_>
-                  0 8 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0328489588573575e-003</threshold>
-            <left_val>-2.8002429008483887e-001</left_val>
-            <right_val>8.4565736353397369e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 4 6 2 -1.</_>
-                <_>
-                  14 4 3 1 2.</_>
-                <_>
-                  11 5 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.5017122067511082e-003</threshold>
-            <left_val>-8.3080992102622986e-002</left_val>
-            <right_val>1.7881210148334503e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 6 2 -1.</_>
-                <_>
-                  1 4 3 1 2.</_>
-                <_>
-                  4 5 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2574931867420673e-003</threshold>
-            <left_val>1.8285669386386871e-001</left_val>
-            <right_val>-1.2856319546699524e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 4 4 -1.</_>
-                <_>
-                  11 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0948719864245504e-004</threshold>
-            <left_val>1.1554790288209915e-001</left_val>
-            <right_val>-1.7279610037803650e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 4 -1.</_>
-                <_>
-                  5 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3575569726526737e-002</threshold>
-            <left_val>4.7628160566091537e-002</left_val>
-            <right_val>-4.7959300875663757e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 3 -1.</_>
-                <_>
-                  16 5 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3205070048570633e-002</threshold>
-            <left_val>-5.5575007200241089e-001</left_val>
-            <right_val>2.9028749093413353e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 3 -1.</_>
-                <_>
-                  0 5 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.1635938733816147e-003</threshold>
-            <left_val>3.5378590226173401e-002</left_val>
-            <right_val>-5.2760952711105347e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 12 -1.</_>
-                <_>
-                  17 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6201209295541048e-003</threshold>
-            <left_val>1.2984579801559448e-001</left_val>
-            <right_val>-2.5827971100807190e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 3 -1.</_>
-                <_>
-                  8 3 6 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8150960803031921e-002</threshold>
-            <left_val>1.8013629317283630e-001</left_val>
-            <right_val>-1.2052509933710098e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 12 -1.</_>
-                <_>
-                  17 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.5367003679275513e-002</threshold>
-            <left_val>-2.5096911191940308e-001</left_val>
-            <right_val>1.4794659800827503e-002</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 2 2 -1.</_>
-                <_>
-                  5 4 1 1 2.</_>
-                <_>
-                  6 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0179110104218125e-003</threshold>
-            <left_val>1.9308570027351379e-001</left_val>
-            <right_val>-1.0838530212640762e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 14 12 -1.</_>
-                <_>
-                  4 0 7 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0971980690956116e-001</threshold>
-            <left_val>7.4706457555294037e-002</left_val>
-            <right_val>-3.4369520843029022e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 12 -1.</_>
-                <_>
-                  0 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5241750776767731e-002</threshold>
-            <left_val>-3.0122849345207214e-001</left_val>
-            <right_val>6.1180669814348221e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 5 1 4 -1.</_>
-                <_>
-                  17 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0068370029330254e-002</threshold>
-            <left_val>-3.1977829337120056e-001</left_val>
-            <right_val>1.5929570421576500e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 1 4 -1.</_>
-                <_>
-                  0 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3460659906268120e-003</threshold>
-            <left_val>5.1246169954538345e-002</left_val>
-            <right_val>-3.5894161462783813e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 1 3 -1.</_>
-                <_>
-                  9 3 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.8623997718095779e-003</threshold>
-            <left_val>2.8305920958518982e-001</left_val>
-            <right_val>-6.4877010881900787e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 5 2 -1.</_>
-                <_>
-                  6 3 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.2780962586402893e-003</threshold>
-            <left_val>-6.8402752280235291e-002</left_val>
-            <right_val>3.2526910305023193e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 11 4 -1.</_>
-                <_>
-                  6 1 11 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8777100145816803e-002</threshold>
-            <left_val>-7.4719488620758057e-002</left_val>
-            <right_val>1.4238749444484711e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 10 4 2 -1.</_>
-                <_>
-                  6 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2759349346160889e-003</threshold>
-            <left_val>4.1597399860620499e-002</left_val>
-            <right_val>-4.2687159776687622e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6956008523702621e-002</threshold>
-            <left_val>1.8709599971771240e-001</left_val>
-            <right_val>-9.9286213517189026e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 2 1 -1.</_>
-                <_>
-                  5 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1527239985298365e-004</threshold>
-            <left_val>-1.2309949845075607e-001</left_val>
-            <right_val>1.6146050393581390e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 16 10 -1.</_>
-                <_>
-                  2 1 8 10 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0096299648284912e-001</threshold>
-            <left_val>-6.3704922795295715e-002</left_val>
-            <right_val>1.3727569580078125e-001</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 14 12 -1.</_>
-                <_>
-                  7 0 7 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7564980685710907e-001</threshold>
-            <left_val>-5.5898111313581467e-002</left_val>
-            <right_val>3.2327750325202942e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 2 1 -1.</_>
-                <_>
-                  12 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0847300812602043e-003</threshold>
-            <left_val>-6.1462122201919556e-001</left_val>
-            <right_val>1.9988279789686203e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 4 4 -1.</_>
-                <_>
-                  3 6 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.4999678395688534e-003</threshold>
-            <left_val>1.5109080076217651e-001</left_val>
-            <right_val>-1.2012190371751785e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 2 1 -1.</_>
-                <_>
-                  12 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1683329648803920e-004</threshold>
-            <left_val>-6.3201643526554108e-002</left_val>
-            <right_val>1.0248489677906036e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 2 1 -1.</_>
-                <_>
-                  5 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2892209633719176e-004</threshold>
-            <left_val>1.5073929727077484e-001</left_val>
-            <right_val>-1.2984649837017059e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 3 4 -1.</_>
-                <_>
-                  13 0 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0021899826824665e-002</threshold>
-            <left_val>4.4182330369949341e-002</left_val>
-            <right_val>-4.2501309514045715e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 8 1 -1.</_>
-                <_>
-                  4 4 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.4188748598098755e-002</threshold>
-            <left_val>-4.0792858600616455e-001</left_val>
-            <right_val>4.2033798992633820e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 3 4 -1.</_>
-                <_>
-                  13 0 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6842419281601906e-002</threshold>
-            <left_val>-5.1279681921005249e-001</left_val>
-            <right_val>2.1104399114847183e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 3 4 -1.</_>
-                <_>
-                  4 0 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.4764918535947800e-003</threshold>
-            <left_val>4.9902040511369705e-002</left_val>
-            <right_val>-3.2437339425086975e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 1 4 4 -1.</_>
-                <_>
-                  15 1 2 2 2.</_>
-                <_>
-                  13 3 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.5663411989808083e-003</threshold>
-            <left_val>-6.9152683019638062e-002</left_val>
-            <right_val>1.9746780395507813e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 6 4 -1.</_>
-                <_>
-                  1 1 3 2 2.</_>
-                <_>
-                  4 3 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8151780590415001e-002</threshold>
-            <left_val>1.8264299631118774e-001</left_val>
-            <right_val>-9.8603516817092896e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 2 -1.</_>
-                <_>
-                  8 1 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5309340320527554e-002</threshold>
-            <left_val>2.5585418939590454e-001</left_val>
-            <right_val>-5.7670980691909790e-002</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 6 1 -1.</_>
-                <_>
-                  6 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2537280097603798e-002</threshold>
-            <left_val>-6.0015022754669189e-001</left_val>
-            <right_val>3.1305689364671707e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 2 1 6 -1.</_>
-                <_>
-                  8 4 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1186859756708145e-001</threshold>
-            <left_val>-7.3224097490310669e-001</left_val>
-            <right_val>5.4572842782363296e-004</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 6 1 -1.</_>
-                <_>
-                  10 4 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6405830159783363e-002</threshold>
-            <left_val>7.0568412542343140e-002</left_val>
-            <right_val>-2.3586690425872803e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 4 3 -1.</_>
-                <_>
-                  11 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1206840164959431e-002</threshold>
-            <left_val>2.9805409908294678e-001</left_val>
-            <right_val>-4.6159930527210236e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 4 3 -1.</_>
-                <_>
-                  6 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.1227758675813675e-003</threshold>
-            <left_val>4.7872390598058701e-002</left_val>
-            <right_val>-3.7525078654289246e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 2 2 -1.</_>
-                <_>
-                  10 6 1 1 2.</_>
-                <_>
-                  9 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4092409876175225e-004</threshold>
-            <left_val>1.4520640671253204e-001</left_val>
-            <right_val>-1.2162090092897415e-001</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 10 2 -1.</_>
-                <_>
-                  4 11 10 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3112149685621262e-003</threshold>
-            <left_val>-2.1473629772663116e-001</left_val>
-            <right_val>7.5015850365161896e-002</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0689670452848077e-003</threshold>
-            <left_val>-8.6991913616657257e-002</left_val>
-            <right_val>1.4234369993209839e-001</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 3 10 -1.</_>
-                <_>
-                  4 2 1 10 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2576111853122711e-002</threshold>
-            <left_val>-7.0083147287368774e-001</left_val>
-            <right_val>2.2004570811986923e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 18 6 -1.</_>
-                <_>
-                  9 3 9 3 2.</_>
-                <_>
-                  0 6 9 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2859150171279907e-001</threshold>
-            <left_val>-6.2275588512420654e-001</left_val>
-            <right_val>2.0604349672794342e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 2 2 -1.</_>
-                <_>
-                  5 4 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1048560030758381e-002</threshold>
-            <left_val>-8.8343963027000427e-002</left_val>
-            <right_val>2.0929630100727081e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 4 3 -1.</_>
-                <_>
-                  11 5 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.6190899312496185e-002</threshold>
-            <left_val>-3.0436459928750992e-002</left_val>
-            <right_val>2.1788010001182556e-001</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 3 4 -1.</_>
-                <_>
-                  7 5 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1006950400769711e-002</threshold>
-            <left_val>-9.0961061418056488e-002</left_val>
-            <right_val>2.2373570501804352e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 8 2 2 -1.</_>
-                <_>
-                  14 8 1 1 2.</_>
-                <_>
-                  13 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1149870260851458e-004</threshold>
-            <left_val>1.0055939853191376e-001</left_val>
-            <right_val>-8.2711242139339447e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 2 2 -1.</_>
-                <_>
-                  3 8 1 1 2.</_>
-                <_>
-                  4 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1044929851777852e-004</threshold>
-            <left_val>-1.1131429672241211e-001</left_val>
-            <right_val>1.4033970236778259e-001</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 12 4 -1.</_>
-                <_>
-                  8 6 6 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2578408271074295e-002</threshold>
-            <left_val>7.1729972958564758e-002</left_val>
-            <right_val>-4.0962688624858856e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 15 3 -1.</_>
-                <_>
-                  5 7 5 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9955919682979584e-001</threshold>
-            <left_val>-5.7830357551574707e-001</left_val>
-            <right_val>2.8734490275382996e-002</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 3 2 -1.</_>
-                <_>
-                  13 2 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7149249091744423e-002</threshold>
-            <left_val>1.4304569922387600e-002</left_val>
-            <right_val>-1.8541809916496277e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 2 3 -1.</_>
-                <_>
-                  5 2 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.4047069251537323e-002</threshold>
-            <left_val>-4.6827080845832825e-001</left_val>
-            <right_val>3.2377708703279495e-002</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2632492259144783e-003</threshold>
-            <left_val>1.4178739488124847e-001</left_val>
-            <right_val>-7.2884447872638702e-002</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 3 3 -1.</_>
-                <_>
-                  6 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3538329880684614e-003</threshold>
-            <left_val>1.9119140505790710e-001</left_val>
-            <right_val>-8.2784809172153473e-002</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 8 3 -1.</_>
-                <_>
-                  10 7 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.0240199565887451e-002</threshold>
-            <left_val>9.9507197737693787e-003</left_val>
-            <right_val>-6.9990187883377075e-001</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 10 3 -1.</_>
-                <_>
-                  2 1 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6852239146828651e-002</threshold>
-            <left_val>-8.8816717267036438e-002</left_val>
-            <right_val>1.6883240640163422e-001</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 3 -1.</_>
-                <_>
-                  8 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3070680201053619e-002</threshold>
-            <left_val>2.4888229370117188e-001</left_val>
-            <right_val>-6.2759302556514740e-002</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 3 7 -1.</_>
-                <_>
-                  3 5 1 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5220220685005188e-002</threshold>
-            <left_val>-6.2048029899597168e-001</left_val>
-            <right_val>2.4633679538965225e-002</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 3 -1.</_>
-                <_>
-                  16 0 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7316380515694618e-002</threshold>
-            <left_val>-3.3864679932594299e-001</left_val>
-            <right_val>3.6917239427566528e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 3 2 -1.</_>
-                <_>
-                  2 0 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.2072130814194679e-002</threshold>
-            <left_val>3.8453228771686554e-002</left_val>
-            <right_val>-4.1064238548278809e-001</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 10 1 -1.</_>
-                <_>
-                  5 0 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0351699776947498e-002</threshold>
-            <left_val>-1.0224519670009613e-001</left_val>
-            <right_val>1.5435679256916046e-001</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 2 -1.</_>
-                <_>
-                  7 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6150650121271610e-003</threshold>
-            <left_val>2.0694419741630554e-001</left_val>
-            <right_val>-8.1435896456241608e-002</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 4 -1.</_>
-                <_>
-                  6 0 6 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0313490033149719e-001</threshold>
-            <left_val>1.6327729821205139e-001</left_val>
-            <right_val>-9.8083086311817169e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 7 2 1 -1.</_>
-                <_>
-                  6 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.9715962056070566e-004</threshold>
-            <left_val>-1.0221719741821289e-001</left_val>
-            <right_val>1.7463779449462891e-001</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 7 2 3 -1.</_>
-                <_>
-                  9 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.6026399806141853e-002</threshold>
-            <left_val>6.9349119439721107e-003</left_val>
-            <right_val>-7.0387297868728638e-001</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 7 3 2 -1.</_>
-                <_>
-                  9 7 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.2695080153644085e-003</threshold>
-            <left_val>5.7468920946121216e-002</left_val>
-            <right_val>-2.6737850904464722e-001</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 4 2 3 -1.</_>
-                <_>
-                  11 4 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.0334599316120148e-002</threshold>
-            <left_val>1.6826699674129486e-001</left_val>
-            <right_val>-4.4392518699169159e-002</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 3 2 -1.</_>
-                <_>
-                  7 4 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.4671649336814880e-002</threshold>
-            <left_val>-3.3905708789825439e-001</left_val>
-            <right_val>6.1771869659423828e-002</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 8 2 2 -1.</_>
-                <_>
-                  14 8 1 1 2.</_>
-                <_>
-                  13 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.4309016529005021e-005</threshold>
-            <left_val>-1.1972939968109131e-001</left_val>
-            <right_val>1.5170879662036896e-001</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 2 2 -1.</_>
-                <_>
-                  3 8 1 1 2.</_>
-                <_>
-                  4 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0392320109531283e-004</threshold>
-            <left_val>1.4664840698242188e-001</left_val>
-            <right_val>-1.1560360342264175e-001</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 3 -1.</_>
-                <_>
-                  16 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0691150091588497e-002</threshold>
-            <left_val>1.1423820257186890e-001</left_val>
-            <right_val>-1.0983390361070633e-001</right_val></_></_></trees>
-      <stage_threshold>-1.6809680461883545e+000</stage_threshold>
-      <parent>9</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 11 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 6 2 -1.</_>
-                <_>
-                  5 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.0128160268068314e-002</threshold>
-            <left_val>-3.1783500313758850e-001</left_val>
-            <right_val>6.2470978498458862e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 9 8 -1.</_>
-                <_>
-                  7 8 9 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.5893148779869080e-001</threshold>
-            <left_val>-2.7941200137138367e-001</left_val>
-            <right_val>2.5360828638076782e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 6 2 -1.</_>
-                <_>
-                  11 3 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.1663876771926880e-002</threshold>
-            <left_val>3.0437821149826050e-001</left_val>
-            <right_val>-3.2352921366691589e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 2 -1.</_>
-                <_>
-                  14 5 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7201349139213562e-002</threshold>
-            <left_val>-1.6664890572428703e-002</left_val>
-            <right_val>1.2985409796237946e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 2 4 -1.</_>
-                <_>
-                  4 5 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.2179729789495468e-002</threshold>
-            <left_val>2.4032059311866760e-001</left_val>
-            <right_val>-3.2194539904594421e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 9 6 -1.</_>
-                <_>
-                  7 4 9 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.1821538954973221e-002</threshold>
-            <left_val>6.6948533058166504e-002</left_val>
-            <right_val>-1.1838900297880173e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 11 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1967527940869331e-003</threshold>
-            <left_val>-4.2374908924102783e-001</left_val>
-            <right_val>1.1120550334453583e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 2 -1.</_>
-                <_>
-                  12 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2552030161023140e-002</threshold>
-            <left_val>2.6725378632545471e-001</left_val>
-            <right_val>-9.9779993295669556e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 7 6 1 -1.</_>
-                <_>
-                  8 7 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.3527207374572754e-002</threshold>
-            <left_val>4.9182821065187454e-002</left_val>
-            <right_val>9.3193750000000000e+002</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 4 -1.</_>
-                <_>
-                  10 4 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.6923439502716064e-002</threshold>
-            <left_val>-4.3197348713874817e-001</left_val>
-            <right_val>2.2907970473170280e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 3 -1.</_>
-                <_>
-                  8 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.4421349167823792e-002</threshold>
-            <left_val>2.3052230477333069e-001</left_val>
-            <right_val>-1.9583049416542053e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 1 -1.</_>
-                <_>
-                  11 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.8728468827903271e-003</threshold>
-            <left_val>9.6525266766548157e-002</left_val>
-            <right_val>-1.5255169570446014e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 1 3 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1779139749705791e-002</threshold>
-            <left_val>3.8318601250648499e-001</left_val>
-            <right_val>-9.9813573062419891e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 8 4 -1.</_>
-                <_>
-                  5 5 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.5238891392946243e-002</threshold>
-            <left_val>-8.1039026379585266e-002</left_val>
-            <right_val>4.2088559269905090e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6514550894498825e-002</threshold>
-            <left_val>1.9347189366817474e-001</left_val>
-            <right_val>-1.6414490342140198e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 6 6 -1.</_>
-                <_>
-                  15 1 3 3 2.</_>
-                <_>
-                  12 4 3 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9398869723081589e-002</threshold>
-            <left_val>-4.0197629481554031e-002</left_val>
-            <right_val>1.6494549810886383e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 6 6 -1.</_>
-                <_>
-                  1 1 3 3 2.</_>
-                <_>
-                  4 4 3 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7306059375405312e-002</threshold>
-            <left_val>2.1020489931106567e-001</left_val>
-            <right_val>-1.5619710087776184e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 4 3 -1.</_>
-                <_>
-                  9 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1370140127837658e-002</threshold>
-            <left_val>-6.3955801725387573e-001</left_val>
-            <right_val>3.8152929395437241e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 12 2 -1.</_>
-                <_>
-                  7 10 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6206590533256531e-003</threshold>
-            <left_val>1.7184859514236450e-001</left_val>
-            <right_val>-1.4077569544315338e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 8 9 -1.</_>
-                <_>
-                  7 3 8 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4804919958114624e-001</threshold>
-            <left_val>9.6059650182723999e-002</left_val>
-            <right_val>-3.5033728927373886e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 8 3 -1.</_>
-                <_>
-                  5 4 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9431810826063156e-002</threshold>
-            <left_val>-8.1926092505455017e-002</left_val>
-            <right_val>2.9813900589942932e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 1 4 4 -1.</_>
-                <_>
-                  16 1 2 2 2.</_>
-                <_>
-                  14 3 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.2512750998139381e-003</threshold>
-            <left_val>-2.8675759211182594e-002</left_val>
-            <right_val>1.2367840111255646e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 4 4 -1.</_>
-                <_>
-                  0 1 2 2 2.</_>
-                <_>
-                  2 3 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.5025227852165699e-003</threshold>
-            <left_val>1.9024680554866791e-001</left_val>
-            <right_val>-1.4312489330768585e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 3 -1.</_>
-                <_>
-                  16 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.8332319334149361e-002</threshold>
-            <left_val>5.1443781703710556e-002</left_val>
-            <right_val>-4.5784160494804382e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 3 3 -1.</_>
-                <_>
-                  2 1 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.4709559977054596e-002</threshold>
-            <left_val>-5.5311012268066406e-001</left_val>
-            <right_val>4.3773401528596878e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 7 5 3 -1.</_>
-                <_>
-                  13 8 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.5510540008544922e-002</threshold>
-            <left_val>5.7641528546810150e-003</left_val>
-            <right_val>-5.0709831714630127e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 4 4 -1.</_>
-                <_>
-                  0 8 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0895810797810555e-002</threshold>
-            <left_val>4.5377410948276520e-002</left_val>
-            <right_val>-4.9842038750648499e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 6 6 -1.</_>
-                <_>
-                  8 4 2 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5481620579957962e-002</threshold>
-            <left_val>1.5418830513954163e-001</left_val>
-            <right_val>-1.4000199735164642e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 6 2 -1.</_>
-                <_>
-                  8 9 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7126219347119331e-002</threshold>
-            <left_val>-4.8520579934120178e-001</left_val>
-            <right_val>4.5199479907751083e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 10 6 -1.</_>
-                <_>
-                  10 6 5 3 2.</_>
-                <_>
-                  5 9 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3498359620571136e-002</threshold>
-            <left_val>-2.1836410462856293e-001</left_val>
-            <right_val>2.4818979203701019e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 9 1 2 -1.</_>
-                <_>
-                  9 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.6786877838894725e-004</threshold>
-            <left_val>9.3692511320114136e-002</left_val>
-            <right_val>-2.0849959552288055e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 12 3 -1.</_>
-                <_>
-                  3 3 12 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8028149157762527e-002</threshold>
-            <left_val>-9.8437979817390442e-002</left_val>
-            <right_val>2.1405869722366333e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 7 8 -1.</_>
-                <_>
-                  3 2 7 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1709540337324142e-001</threshold>
-            <left_val>2.7563339471817017e-001</left_val>
-            <right_val>-8.0759562551975250e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 16 11 -1.</_>
-                <_>
-                  2 0 8 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1854110956192017e-001</threshold>
-            <left_val>-3.7302598357200623e-002</left_val>
-            <right_val>2.0321239531040192e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 12 11 -1.</_>
-                <_>
-                  6 0 6 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8708510696887970e-001</threshold>
-            <left_val>-4.2003840208053589e-002</left_val>
-            <right_val>4.5461919903755188e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 6 4 -1.</_>
-                <_>
-                  11 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1449670273577794e-004</threshold>
-            <left_val>1.1597789824008942e-001</left_val>
-            <right_val>-2.3541730642318726e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 4 4 -1.</_>
-                <_>
-                  5 2 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.5649940371513367e-002</threshold>
-            <left_val>-6.6509492695331573e-002</left_val>
-            <right_val>2.8327891230583191e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 14 10 -1.</_>
-                <_>
-                  11 2 7 5 2.</_>
-                <_>
-                  4 7 7 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.8561020046472549e-002</threshold>
-            <left_val>-9.1676719486713409e-002</left_val>
-            <right_val>9.5089800655841827e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 1 3 -1.</_>
-                <_>
-                  0 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9842848889529705e-003</threshold>
-            <left_val>4.8733729869127274e-002</left_val>
-            <right_val>-3.4843000769615173e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 2 -1.</_>
-                <_>
-                  17 7 1 1 2.</_>
-                <_>
-                  16 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2221869837958366e-004</threshold>
-            <left_val>-1.0448929667472839e-001</left_val>
-            <right_val>1.0433969646692276e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 3 -1.</_>
-                <_>
-                  6 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7984049394726753e-002</threshold>
-            <left_val>-5.5451318621635437e-002</left_val>
-            <right_val>2.8990921378135681e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 4 4 1 -1.</_>
-                <_>
-                  12 5 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.0522119253873825e-002</threshold>
-            <left_val>3.2600420713424683e-001</left_val>
-            <right_val>-1.2342750094830990e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 1 4 -1.</_>
-                <_>
-                  6 5 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.8787982240319252e-003</threshold>
-            <left_val>1.8352979421615601e-001</left_val>
-            <right_val>-1.2553639709949493e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 3 3 -1.</_>
-                <_>
-                  11 0 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.1907752901315689e-003</threshold>
-            <left_val>-4.6439141035079956e-001</left_val>
-            <right_val>5.7022649794816971e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 8 4 2 -1.</_>
-                <_>
-                  8 8 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.2757308371365070e-003</threshold>
-            <left_val>2.9556749388575554e-002</left_val>
-            <right_val>-4.8011448979377747e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 2 1 -1.</_>
-                <_>
-                  8 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0632930207066238e-004</threshold>
-            <left_val>-1.1848829686641693e-001</left_val>
-            <right_val>1.2452460080385208e-001</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 14 4 -1.</_>
-                <_>
-                  1 1 14 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3366391211748123e-002</threshold>
-            <left_val>-8.5436671972274780e-002</left_val>
-            <right_val>1.7945680022239685e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 8 3 -1.</_>
-                <_>
-                  6 1 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7917420715093613e-002</threshold>
-            <left_val>2.2749659419059753e-001</left_val>
-            <right_val>-7.3550216853618622e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 3 -1.</_>
-                <_>
-                  6 2 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4122040718793869e-002</threshold>
-            <left_val>3.2454338669776917e-001</left_val>
-            <right_val>-4.7602940350770950e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 6 4 -1.</_>
-                <_>
-                  11 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.5866120606660843e-002</threshold>
-            <left_val>1.6963159665465355e-002</left_val>
-            <right_val>-6.1907947063446045e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 6 4 -1.</_>
-                <_>
-                  5 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6154519990086555e-002</threshold>
-            <left_val>-3.7108859419822693e-001</left_val>
-            <right_val>3.9997719228267670e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 2 2 -1.</_>
-                <_>
-                  12 3 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3461949080228806e-002</threshold>
-            <left_val>1.2756420671939850e-001</left_val>
-            <right_val>-2.2292949259281158e-002</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 1 2 -1.</_>
-                <_>
-                  6 2 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5133329667150974e-002</threshold>
-            <left_val>2.7855740860104561e-002</left_val>
-            <right_val>-5.6463587284088135e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  9 10 9 1 2.</_>
-                <_>
-                  0 11 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8169771432876587e-002</threshold>
-            <left_val>-6.7978310585021973e-001</left_val>
-            <right_val>1.9624669104814529e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 3 1 -1.</_>
-                <_>
-                  7 0 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.0274768620729446e-003</threshold>
-            <left_val>-6.0235649347305298e-001</left_val>
-            <right_val>1.9473260268568993e-002</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 6 -1.</_>
-                <_>
-                  9 2 9 3 2.</_>
-                <_>
-                  0 5 9 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0226030051708221e-001</threshold>
-            <left_val>-4.1042789816856384e-001</left_val>
-            <right_val>3.3139400184154510e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 12 -1.</_>
-                <_>
-                  0 6 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3556970655918121e-001</threshold>
-            <left_val>3.2679639756679535e-002</left_val>
-            <right_val>-4.9395999312400818e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 2 -1.</_>
-                <_>
-                  17 7 1 1 2.</_>
-                <_>
-                  16 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0420950275147334e-004</threshold>
-            <left_val>1.7653250694274902e-001</left_val>
-            <right_val>-1.2747409939765930e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 2 2 -1.</_>
-                <_>
-                  0 7 1 1 2.</_>
-                <_>
-                  1 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2260209769010544e-004</threshold>
-            <left_val>-1.2935620546340942e-001</left_val>
-            <right_val>1.2286009639501572e-001</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 1 -1.</_>
-                <_>
-                  16 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8132160184904933e-003</threshold>
-            <left_val>2.1865940093994141e-001</left_val>
-            <right_val>-8.7909542024135590e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 2 -1.</_>
-                <_>
-                  5 1 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4558799564838409e-002</threshold>
-            <left_val>-7.1452066302299500e-002</left_val>
-            <right_val>2.0318900048732758e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 2 1 6 -1.</_>
-                <_>
-                  17 4 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2111190482974052e-002</threshold>
-            <left_val>-5.1411151885986328e-001</left_val>
-            <right_val>3.8326159119606018e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 1 6 -1.</_>
-                <_>
-                  0 4 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2102689594030380e-002</threshold>
-            <left_val>3.4980859607458115e-002</left_val>
-            <right_val>-3.5819360613822937e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 9 4 3 -1.</_>
-                <_>
-                  11 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6234850510954857e-002</threshold>
-            <left_val>-6.7572712898254395e-001</left_val>
-            <right_val>1.3337399810552597e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 2 1 -1.</_>
-                <_>
-                  9 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2108719965908676e-004</threshold>
-            <left_val>-9.7839273512363434e-002</left_val>
-            <right_val>1.3967449963092804e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 9 4 3 -1.</_>
-                <_>
-                  11 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.9925719872117043e-003</threshold>
-            <left_val>3.2864410430192947e-002</left_val>
-            <right_val>-2.6933521032333374e-001</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 2 2 -1.</_>
-                <_>
-                  0 7 1 1 2.</_>
-                <_>
-                  1 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1492669727886096e-004</threshold>
-            <left_val>1.5019279718399048e-001</left_val>
-            <right_val>-9.2902913689613342e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 4 2 6 -1.</_>
-                <_>
-                  15 4 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2735271640121937e-003</threshold>
-            <left_val>1.9764299690723419e-001</left_val>
-            <right_val>-1.4036740362644196e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 2 2 -1.</_>
-                <_>
-                  5 6 1 1 2.</_>
-                <_>
-                  6 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.4272519405931234e-003</threshold>
-            <left_val>-5.6488610804080963e-002</left_val>
-            <right_val>2.3865149915218353e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 2 -1.</_>
-                <_>
-                  12 7 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.5099778585135937e-003</threshold>
-            <left_val>-3.5633251070976257e-002</left_val>
-            <right_val>7.3461838066577911e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 2 2 -1.</_>
-                <_>
-                  4 7 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3461588211357594e-003</threshold>
-            <left_val>-1.1661099642515182e-001</left_val>
-            <right_val>1.2772659957408905e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 7 3 -1.</_>
-                <_>
-                  11 7 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7506477236747742e-002</threshold>
-            <left_val>-6.3980489969253540e-001</left_val>
-            <right_val>6.2549579888582230e-003</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 7 3 -1.</_>
-                <_>
-                  0 7 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.7710430324077606e-002</threshold>
-            <left_val>3.0216189101338387e-002</left_val>
-            <right_val>-4.6095389127731323e-001</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 2 3 -1.</_>
-                <_>
-                  9 0 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6712799966335297e-003</threshold>
-            <left_val>1.9897650927305222e-002</left_val>
-            <right_val>-2.8020209074020386e-001</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 2 -1.</_>
-                <_>
-                  9 3 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3389169722795486e-002</threshold>
-            <left_val>3.4334081411361694e-001</left_val>
-            <right_val>-3.8698211312294006e-002</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 4 2 6 -1.</_>
-                <_>
-                  15 4 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2936229854822159e-002</threshold>
-            <left_val>-7.2460907697677612e-001</left_val>
-            <right_val>6.3011539168655872e-003</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 2 6 -1.</_>
-                <_>
-                  2 4 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5043029822409153e-003</threshold>
-            <left_val>9.2780143022537231e-002</left_val>
-            <right_val>-1.4180530607700348e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 4 -1.</_>
-                <_>
-                  14 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1233350746333599e-003</threshold>
-            <left_val>1.7233259975910187e-001</left_val>
-            <right_val>-2.9970449209213257e-001</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 4 3 -1.</_>
-                <_>
-                  2 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6139260306954384e-003</threshold>
-            <left_val>-9.9938079714775085e-002</left_val>
-            <right_val>1.9661809504032135e-001</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 3 -1.</_>
-                <_>
-                  16 0 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7207840457558632e-002</threshold>
-            <left_val>-4.2743620276451111e-001</left_val>
-            <right_val>4.8802521079778671e-002</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 3 2 -1.</_>
-                <_>
-                  2 0 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.2534899413585663e-002</threshold>
-            <left_val>3.0614370480179787e-002</left_val>
-            <right_val>-5.1239258050918579e-001</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 6 3 -1.</_>
-                <_>
-                  11 3 6 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5610080212354660e-002</threshold>
-            <left_val>-6.8048216402530670e-002</left_val>
-            <right_val>1.4999119937419891e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 3 6 -1.</_>
-                <_>
-                  7 3 1 6 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.0428750663995743e-002</threshold>
-            <left_val>-5.9653080999851227e-002</left_val>
-            <right_val>2.4934889376163483e-001</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 11 4 1 -1.</_>
-                <_>
-                  12 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6278302110731602e-003</threshold>
-            <left_val>1.2023109942674637e-002</left_val>
-            <right_val>-3.2418128848075867e-001</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 2 4 -1.</_>
-                <_>
-                  8 0 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1010710150003433e-002</threshold>
-            <left_val>-4.1893360018730164e-001</left_val>
-            <right_val>3.2063160091638565e-002</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 2 2 -1.</_>
-                <_>
-                  11 5 1 1 2.</_>
-                <_>
-                  10 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5190298911184072e-003</threshold>
-            <left_val>1.9416549801826477e-001</left_val>
-            <right_val>-7.9592078924179077e-002</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 11 4 1 -1.</_>
-                <_>
-                  4 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.5439349487423897e-003</threshold>
-            <left_val>2.7912829071283340e-002</left_val>
-            <right_val>-4.7302699089050293e-001</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 11 2 1 -1.</_>
-                <_>
-                  11 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0793250112328678e-004</threshold>
-            <left_val>1.0455460101366043e-001</left_val>
-            <right_val>-9.8342873156070709e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 8 3 1 -1.</_>
-                <_>
-                  6 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1960390023887157e-002</threshold>
-            <left_val>-5.5645018815994263e-001</left_val>
-            <right_val>2.4031320586800575e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 4 3 1 -1.</_>
-                <_>
-                  15 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2221559882164001e-004</threshold>
-            <left_val>9.5023281872272491e-002</left_val>
-            <right_val>-1.3685759902000427e-001</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 3 3 -1.</_>
-                <_>
-                  7 3 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0170589908957481e-002</threshold>
-            <left_val>1.6795089840888977e-001</left_val>
-            <right_val>-7.6120890676975250e-002</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 3 8 -1.</_>
-                <_>
-                  13 4 1 8 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.3070956170558929e-003</threshold>
-            <left_val>1.7039400339126587e-001</left_val>
-            <right_val>-6.0343630611896515e-002</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 3 8 -1.</_>
-                <_>
-                  4 4 1 8 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4953389316797256e-002</threshold>
-            <left_val>-6.3390421867370605e-001</left_val>
-            <right_val>2.3547450080513954e-002</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 6 -1.</_>
-                <_>
-                  10 1 2 6 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2870649993419647e-001</threshold>
-            <left_val>-5.5947631597518921e-001</left_val>
-            <right_val>1.0227069724351168e-003</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 6 4 -1.</_>
-                <_>
-                  8 1 6 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.2872750908136368e-002</threshold>
-            <left_val>2.0933540165424347e-001</left_val>
-            <right_val>-6.2754176557064056e-002</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 3 1 -1.</_>
-                <_>
-                  14 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.1988220512866974e-002</threshold>
-            <left_val>-2.8742890805006027e-002</left_val>
-            <right_val>3.2623329758644104e-001</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 1 3 -1.</_>
-                <_>
-                  4 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.7929820120334625e-002</threshold>
-            <left_val>-8.0376791954040527e-001</left_val>
-            <right_val>1.8866369500756264e-002</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 3 2 -1.</_>
-                <_>
-                  14 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.6517540439963341e-002</threshold>
-            <left_val>3.4300331026315689e-002</left_val>
-            <right_val>-3.3194449543952942e-001</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 6 -1.</_>
-                <_>
-                  6 2 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2578460574150085e-001</threshold>
-            <left_val>-6.5953016281127930e-002</left_val>
-            <right_val>2.7026090025901794e-001</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 9 1 2 -1.</_>
-                <_>
-                  17 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2017370318062603e-004</threshold>
-            <left_val>-1.2451259791851044e-001</left_val>
-            <right_val>8.0808043479919434e-002</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 1 4 -1.</_>
-                <_>
-                  0 3 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.7558379117399454e-003</threshold>
-            <left_val>4.6920169144868851e-002</left_val>
-            <right_val>-2.4560800194740295e-001</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 4 -1.</_>
-                <_>
-                  17 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4232251606881618e-003</threshold>
-            <left_val>-3.0731809139251709e-001</left_val>
-            <right_val>3.6565799266099930e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 1 4 -1.</_>
-                <_>
-                  0 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.4200940281152725e-003</threshold>
-            <left_val>4.0808930993080139e-002</left_val>
-            <right_val>-2.8372159600257874e-001</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 5 1 2 -1.</_>
-                <_>
-                  13 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1825190633535385e-003</threshold>
-            <left_val>1.1226759850978851e-001</left_val>
-            <right_val>-2.4832399562001228e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 3 1 -1.</_>
-                <_>
-                  2 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.2442201413214207e-003</threshold>
-            <left_val>1.9796860218048096e-001</left_val>
-            <right_val>-6.2690652906894684e-002</right_val></_></_></trees>
-      <stage_threshold>-1.6043150424957275e+000</stage_threshold>
-      <parent>10</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 12 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5449662506580353e-002</threshold>
-            <left_val>6.5984207391738892e-001</left_val>
-            <right_val>-2.8083300590515137e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 2 8 -1.</_>
-                <_>
-                  13 4 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5504930205643177e-003</threshold>
-            <left_val>1.3949079811573029e-001</left_val>
-            <right_val>-1.9948430359363556e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 3 6 6 -1.</_>
-                <_>
-                  3 5 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2023960053920746e-001</threshold>
-            <left_val>3.5877311229705811e-001</left_val>
-            <right_val>-3.1004118919372559e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 2 8 -1.</_>
-                <_>
-                  9 2 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.0659500733017921e-002</threshold>
-            <left_val>2.4529699236154556e-002</left_val>
-            <right_val>-1.6617469489574432e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 8 2 -1.</_>
-                <_>
-                  9 2 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4058920741081238e-001</threshold>
-            <left_val>4.2553600668907166e-001</left_val>
-            <right_val>-1.3463549315929413e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 8 5 2 -1.</_>
-                <_>
-                  13 9 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3962809462100267e-003</threshold>
-            <left_val>-1.6868929564952850e-001</left_val>
-            <right_val>4.4305529445409775e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 5 2 -1.</_>
-                <_>
-                  0 9 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.3446177197620273e-004</threshold>
-            <left_val>-4.8740088939666748e-001</left_val>
-            <right_val>9.9577173590660095e-002</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8250170648097992e-002</threshold>
-            <left_val>2.6871618628501892e-001</left_val>
-            <right_val>-1.5085490047931671e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 4 2 -1.</_>
-                <_>
-                  4 5 2 1 2.</_>
-                <_>
-                  6 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1073240078985691e-002</threshold>
-            <left_val>-9.0580292046070099e-002</left_val>
-            <right_val>3.9891949295997620e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 6 4 -1.</_>
-                <_>
-                  9 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4222271293401718e-002</threshold>
-            <left_val>-5.4190230369567871e-001</left_val>
-            <right_val>5.8256920427083969e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  9 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6340370057150722e-003</threshold>
-            <left_val>1.5135709941387177e-001</left_val>
-            <right_val>-2.5593858957290649e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 12 -1.</_>
-                <_>
-                  17 6 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6902751326560974e-002</threshold>
-            <left_val>2.4959880858659744e-002</left_val>
-            <right_val>-2.5529161095619202e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 12 -1.</_>
-                <_>
-                  0 6 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.4659740999341011e-003</threshold>
-            <left_val>-2.6191771030426025e-001</left_val>
-            <right_val>1.2557169795036316e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 2 2 -1.</_>
-                <_>
-                  12 6 1 1 2.</_>
-                <_>
-                  11 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.7860060110688210e-003</threshold>
-            <left_val>-9.2318423092365265e-002</left_val>
-            <right_val>3.1680619716644287e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 10 2 -1.</_>
-                <_>
-                  4 11 10 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.2198941595852375e-003</threshold>
-            <left_val>-2.4663870036602020e-001</left_val>
-            <right_val>1.0715399682521820e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 2 2 -1.</_>
-                <_>
-                  12 6 1 1 2.</_>
-                <_>
-                  11 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3108259085565805e-003</threshold>
-            <left_val>2.6593479514122009e-001</left_val>
-            <right_val>-4.2567960917949677e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 6 2 -1.</_>
-                <_>
-                  11 3 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.4268100038170815e-002</threshold>
-            <left_val>7.8301817178726196e-002</left_val>
-            <right_val>-3.3432251214981079e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 8 1 4 -1.</_>
-                <_>
-                  17 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4654891826212406e-003</threshold>
-            <left_val>4.4951941817998886e-002</left_val>
-            <right_val>-3.6068201065063477e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 1 4 -1.</_>
-                <_>
-                  0 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.0136880017817020e-003</threshold>
-            <left_val>4.8014611005783081e-002</left_val>
-            <right_val>-4.8307308554649353e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 1 -1.</_>
-                <_>
-                  11 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6905671004205942e-003</threshold>
-            <left_val>2.3733210563659668e-001</left_val>
-            <right_val>-7.7101498842239380e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 2 4 -1.</_>
-                <_>
-                  4 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6699999347329140e-002</threshold>
-            <left_val>-7.0286177098751068e-002</left_val>
-            <right_val>3.1604859232902527e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 5 1 2 -1.</_>
-                <_>
-                  13 5 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4216369949281216e-002</threshold>
-            <left_val>1.9163979589939117e-001</left_val>
-            <right_val>-1.4565619640052319e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 2 1 -1.</_>
-                <_>
-                  5 5 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.9798311665654182e-003</threshold>
-            <left_val>-9.3808017671108246e-002</left_val>
-            <right_val>3.3386421203613281e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 4 -1.</_>
-                <_>
-                  9 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0780889540910721e-002</threshold>
-            <left_val>4.4129341840744019e-002</left_val>
-            <right_val>-3.5146710276603699e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 4 3 -1.</_>
-                <_>
-                  7 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.0803576856851578e-003</threshold>
-            <left_val>-4.5045539736747742e-001</left_val>
-            <right_val>4.2515419423580170e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 4 2 -1.</_>
-                <_>
-                  9 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2959468923509121e-003</threshold>
-            <left_val>-5.0585079193115234e-001</left_val>
-            <right_val>2.6853339746594429e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 1 4 -1.</_>
-                <_>
-                  0 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.2930860072374344e-003</threshold>
-            <left_val>4.4392760843038559e-002</left_val>
-            <right_val>-4.2409139871597290e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 4 -1.</_>
-                <_>
-                  6 1 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6001540720462799e-002</threshold>
-            <left_val>3.6739090085029602e-001</left_val>
-            <right_val>-5.6275039911270142e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 2 7 -1.</_>
-                <_>
-                  3 4 1 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6325119435787201e-003</threshold>
-            <left_val>1.0696999728679657e-001</left_val>
-            <right_val>-1.7666119337081909e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 6 1 -1.</_>
-                <_>
-                  8 6 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.6885600574314594e-003</threshold>
-            <left_val>1.3644680380821228e-001</left_val>
-            <right_val>-1.4830610156059265e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5619632601737976e-002</threshold>
-            <left_val>-3.6476480960845947e-001</left_val>
-            <right_val>5.2671018987894058e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 2 -1.</_>
-                <_>
-                  11 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.3787600211799145e-002</threshold>
-            <left_val>1.4529299736022949e-001</left_val>
-            <right_val>-1.4805309474468231e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 9 6 -1.</_>
-                <_>
-                  4 3 9 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6259980201721191e-001</threshold>
-            <left_val>3.4896880388259888e-001</left_val>
-            <right_val>-7.1005232632160187e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 2 -1.</_>
-                <_>
-                  11 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.7861498594284058e-002</threshold>
-            <left_val>-6.8113172054290771e-001</left_val>
-            <right_val>6.0920282267034054e-003</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 2 3 -1.</_>
-                <_>
-                  7 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5198419801890850e-002</threshold>
-            <left_val>2.3462030291557312e-001</left_val>
-            <right_val>-1.0035049915313721e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 9 17 2 -1.</_>
-                <_>
-                  1 10 17 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.0543217957019806e-003</threshold>
-            <left_val>-2.2936539351940155e-001</left_val>
-            <right_val>7.7951073646545410e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 6 1 -1.</_>
-                <_>
-                  8 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.3727401904761791e-003</threshold>
-            <left_val>3.9879500865936279e-002</left_val>
-            <right_val>-4.8354309797286987e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 3 3 -1.</_>
-                <_>
-                  9 5 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8954079598188400e-002</threshold>
-            <left_val>9.6944183111190796e-002</left_val>
-            <right_val>-5.5643040686845779e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 3 5 -1.</_>
-                <_>
-                  8 0 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2283699586987495e-002</threshold>
-            <left_val>4.3389499187469482e-002</left_val>
-            <right_val>-4.2138868570327759e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 5 3 3 -1.</_>
-                <_>
-                  15 6 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8302969634532928e-002</threshold>
-            <left_val>-4.2719489336013794e-001</left_val>
-            <right_val>2.2162979468703270e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 15 6 -1.</_>
-                <_>
-                  6 2 5 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3101060390472412e-001</threshold>
-            <left_val>-5.1615860313177109e-002</left_val>
-            <right_val>3.4026700258255005e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 3 2 -1.</_>
-                <_>
-                  9 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1051310226321220e-002</threshold>
-            <left_val>-2.4313559755682945e-002</left_val>
-            <right_val>3.2357591390609741e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 14 11 -1.</_>
-                <_>
-                  7 1 7 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.4691780209541321e-001</threshold>
-            <left_val>2.7657490968704224e-001</left_val>
-            <right_val>-6.6980779170989990e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 3 3 6 -1.</_>
-                <_>
-                  14 3 3 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.9630710631608963e-002</threshold>
-            <left_val>2.8453519567847252e-002</left_val>
-            <right_val>-3.4650930762290955e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 14 11 -1.</_>
-                <_>
-                  7 1 7 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0880649983882904e-001</threshold>
-            <left_val>-4.9901269376277924e-002</left_val>
-            <right_val>3.6606788635253906e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 8 -1.</_>
-                <_>
-                  17 4 1 4 2.</_>
-                <_>
-                  16 8 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6081339716911316e-003</threshold>
-            <left_val>-7.8487291932106018e-002</left_val>
-            <right_val>1.3186110556125641e-001</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 4 3 -1.</_>
-                <_>
-                  4 2 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.5167000740766525e-002</threshold>
-            <left_val>5.1011168956756592e-001</left_val>
-            <right_val>-3.3664189279079437e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 3 3 -1.</_>
-                <_>
-                  11 4 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1171470396220684e-002</threshold>
-            <left_val>-3.7235900759696960e-002</left_val>
-            <right_val>1.1104430258274078e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 2 3 -1.</_>
-                <_>
-                  6 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5330309979617596e-002</threshold>
-            <left_val>2.4683140218257904e-001</left_val>
-            <right_val>-7.2548203170299530e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 12 3 -1.</_>
-                <_>
-                  6 4 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9592171087861061e-003</threshold>
-            <left_val>7.2863176465034485e-002</left_val>
-            <right_val>-2.8057581186294556e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 3 3 -1.</_>
-                <_>
-                  0 6 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.4626460447907448e-003</threshold>
-            <left_val>3.6698680371046066e-002</left_val>
-            <right_val>-3.9774340391159058e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 5 2 -1.</_>
-                <_>
-                  7 4 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6352999955415726e-002</threshold>
-            <left_val>-3.7106141448020935e-002</left_val>
-            <right_val>4.3486309051513672e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 2 -1.</_>
-                <_>
-                  6 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0322609692811966e-002</threshold>
-            <left_val>1.9888140261173248e-001</left_val>
-            <right_val>-8.6129508912563324e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 11 2 1 -1.</_>
-                <_>
-                  11 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.3476366600953043e-005</threshold>
-            <left_val>8.8922351598739624e-002</left_val>
-            <right_val>-8.2700327038764954e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 3 3 -1.</_>
-                <_>
-                  6 6 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.6907848492264748e-003</threshold>
-            <left_val>-8.2258842885494232e-002</left_val>
-            <right_val>1.9518549740314484e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 5 -1.</_>
-                <_>
-                  12 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.2766090743243694e-003</threshold>
-            <left_val>5.5776178836822510e-002</left_val>
-            <right_val>-2.9502439498901367e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 11 2 1 -1.</_>
-                <_>
-                  6 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1845510016428307e-004</threshold>
-            <left_val>1.2008129805326462e-001</left_val>
-            <right_val>-1.3027560710906982e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 4 -1.</_>
-                <_>
-                  12 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1836069636046886e-002</threshold>
-            <left_val>-3.0786681175231934e-001</left_val>
-            <right_val>5.2134670317173004e-002</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 10 1 -1.</_>
-                <_>
-                  5 11 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1582080274820328e-002</threshold>
-            <left_val>-6.4603932201862335e-002</left_val>
-            <right_val>2.4226869642734528e-001</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 7 2 3 -1.</_>
-                <_>
-                  11 8 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.6641300171613693e-002</threshold>
-            <left_val>2.3613739758729935e-002</left_val>
-            <right_val>-3.2030880451202393e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 7 3 2 -1.</_>
-                <_>
-                  7 8 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4670539647340775e-002</threshold>
-            <left_val>-4.1521430015563965e-001</left_val>
-            <right_val>3.6382548511028290e-002</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 6 8 -1.</_>
-                <_>
-                  10 0 3 4 2.</_>
-                <_>
-                  7 4 3 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.1266278624534607e-002</threshold>
-            <left_val>8.8978268206119537e-002</left_val>
-            <right_val>-2.7521649375557899e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 6 8 -1.</_>
-                <_>
-                  5 0 3 4 2.</_>
-                <_>
-                  8 4 3 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5930789783596992e-003</threshold>
-            <left_val>1.0312590003013611e-001</left_val>
-            <right_val>-1.5684939920902252e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 4 1 -1.</_>
-                <_>
-                  14 3 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.1038690581917763e-002</threshold>
-            <left_val>-4.1231220960617065e-001</left_val>
-            <right_val>2.6362419128417969e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 1 4 -1.</_>
-                <_>
-                  4 3 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1634599650278687e-004</threshold>
-            <left_val>8.8270559906959534e-002</left_val>
-            <right_val>-1.7683100700378418e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 3 2 1 -1.</_>
-                <_>
-                  13 3 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0351010132580996e-004</threshold>
-            <left_val>-4.0812540799379349e-002</left_val>
-            <right_val>4.4485118240118027e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 1 2 -1.</_>
-                <_>
-                  5 3 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1750919744372368e-002</threshold>
-            <left_val>3.7474468350410461e-002</left_val>
-            <right_val>-4.4839090108871460e-001</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 1 5 2 -1.</_>
-                <_>
-                  7 2 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6365600749850273e-002</threshold>
-            <left_val>-5.3337760269641876e-002</left_val>
-            <right_val>2.3957200348377228e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 5 -1.</_>
-                <_>
-                  4 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4152539893984795e-002</threshold>
-            <left_val>-3.4904539585113525e-001</left_val>
-            <right_val>4.0583450347185135e-002</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 3 -1.</_>
-                <_>
-                  5 1 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8640389665961266e-002</threshold>
-            <left_val>-7.8919850289821625e-002</left_val>
-            <right_val>1.7504720389842987e-001</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 2 2 -1.</_>
-                <_>
-                  4 0 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7988409847021103e-002</threshold>
-            <left_val>3.3721260726451874e-002</left_val>
-            <right_val>-4.2088210582733154e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 8 2 -1.</_>
-                <_>
-                  6 1 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4597839675843716e-002</threshold>
-            <left_val>1.7850220203399658e-001</left_val>
-            <right_val>-7.9207688570022583e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 3 -1.</_>
-                <_>
-                  5 7 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1776429601013660e-002</threshold>
-            <left_val>2.0177559554576874e-001</left_val>
-            <right_val>-6.4572930335998535e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0500749126076698e-003</threshold>
-            <left_val>1.7109319567680359e-001</left_val>
-            <right_val>-8.1359818577766418e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 4 9 -1.</_>
-                <_>
-                  3 0 2 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5906981229782104e-002</threshold>
-            <left_val>-6.9485092163085938e-001</left_val>
-            <right_val>1.9316319376230240e-002</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 18 1 -1.</_>
-                <_>
-                  0 11 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7083891034126282e-002</threshold>
-            <left_val>1.9366340711712837e-002</left_val>
-            <right_val>-5.7769888639450073e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 5 -1.</_>
-                <_>
-                  1 3 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5398990623652935e-003</threshold>
-            <left_val>1.1768320202827454e-001</left_val>
-            <right_val>-1.1205779761075974e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 2 -1.</_>
-                <_>
-                  16 7 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5185469761490822e-002</threshold>
-            <left_val>1.2016219645738602e-001</left_val>
-            <right_val>-4.3419301509857178e-002</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 7 2 2 -1.</_>
-                <_>
-                  2 7 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.1984431706368923e-003</threshold>
-            <left_val>-3.5740990191698074e-002</left_val>
-            <right_val>3.8612338900566101e-001</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 10 1 2 -1.</_>
-                <_>
-                  14 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0633750207489356e-004</threshold>
-            <left_val>-1.0959289968013763e-001</left_val>
-            <right_val>5.4616861045360565e-002</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 8 12 3 -1.</_>
-                <_>
-                  5 8 4 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0189989954233170e-001</threshold>
-            <left_val>-4.9526950716972351e-001</left_val>
-            <right_val>2.5969929993152618e-002</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 10 1 2 -1.</_>
-                <_>
-                  14 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2038920249324292e-004</threshold>
-            <left_val>1.2273380160331726e-001</left_val>
-            <right_val>-4.1162900626659393e-002</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 1 2 -1.</_>
-                <_>
-                  3 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0814509732881561e-004</threshold>
-            <left_val>-1.6402480006217957e-001</left_val>
-            <right_val>8.0438762903213501e-002</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 10 3 2 -1.</_>
-                <_>
-                  15 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0482760146260262e-002</threshold>
-            <left_val>3.9343621581792831e-002</left_val>
-            <right_val>-2.6814600825309753e-001</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 3 3 -1.</_>
-                <_>
-                  0 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.9093724489212036e-003</threshold>
-            <left_val>-4.1322740912437439e-001</left_val>
-            <right_val>3.0046500265598297e-002</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3081150129437447e-002</threshold>
-            <left_val>-3.3539541065692902e-002</left_val>
-            <right_val>2.3053109645843506e-001</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 1 3 -1.</_>
-                <_>
-                  3 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9690599292516708e-002</threshold>
-            <left_val>-5.0715428590774536e-001</left_val>
-            <right_val>2.3815410211682320e-002</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0433509945869446e-002</threshold>
-            <left_val>1.2601679563522339e-001</left_val>
-            <right_val>-1.9142389297485352e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 1 -1.</_>
-                <_>
-                  7 0 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.1845351010560989e-003</threshold>
-            <left_val>2.4645360186696053e-002</left_val>
-            <right_val>-5.0535571575164795e-001</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 11 4 1 -1.</_>
-                <_>
-                  15 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0149839110672474e-003</threshold>
-            <left_val>1.5200349688529968e-001</left_val>
-            <right_val>-5.0570148974657059e-002</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 4 1 -1.</_>
-                <_>
-                  1 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0860039765248075e-004</threshold>
-            <left_val>-1.1278349906206131e-001</left_val>
-            <right_val>1.1125960201025009e-001</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 11 3 1 -1.</_>
-                <_>
-                  10 11 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.9575027232058346e-005</threshold>
-            <left_val>1.1708500236272812e-001</left_val>
-            <right_val>-1.0333900153636932e-001</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 3 1 -1.</_>
-                <_>
-                  7 11 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.3389421664178371e-003</threshold>
-            <left_val>1.8005790188908577e-002</left_val>
-            <right_val>-7.1671330928802490e-001</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 6 1 -1.</_>
-                <_>
-                  9 0 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1697039939463139e-002</threshold>
-            <left_val>1.3067330233752728e-002</left_val>
-            <right_val>-2.3360380530357361e-001</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 15 2 -1.</_>
-                <_>
-                  6 0 5 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2932709902524948e-002</threshold>
-            <left_val>-7.0233866572380066e-002</left_val>
-            <right_val>1.7548230290412903e-001</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5324359089136124e-002</threshold>
-            <left_val>-8.2326531410217285e-001</left_val>
-            <right_val>3.6954008974134922e-003</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 2 -1.</_>
-                <_>
-                  6 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7475579883903265e-003</threshold>
-            <left_val>1.8588210642337799e-001</left_val>
-            <right_val>-6.2639318406581879e-002</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 3 3 -1.</_>
-                <_>
-                  13 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.2647240906953812e-002</threshold>
-            <left_val>-2.0567889511585236e-001</left_val>
-            <right_val>1.8942670896649361e-002</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 2 -1.</_>
-                <_>
-                  7 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1062870034947991e-003</threshold>
-            <left_val>-1.0367350280284882e-001</left_val>
-            <right_val>1.1428149789571762e-001</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 6 2 -1.</_>
-                <_>
-                  13 5 3 1 2.</_>
-                <_>
-                  10 6 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.4914089851081371e-003</threshold>
-            <left_val>-3.9914030581712723e-002</left_val>
-            <right_val>7.6856799423694611e-002</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 6 2 -1.</_>
-                <_>
-                  2 5 3 1 2.</_>
-                <_>
-                  5 6 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.2964627072215080e-003</threshold>
-            <left_val>2.3060120642185211e-001</left_val>
-            <right_val>-6.2546901404857635e-002</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 3 3 6 -1.</_>
-                <_>
-                  14 3 3 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.8128688931465149e-002</threshold>
-            <left_val>1.9407819956541061e-002</left_val>
-            <right_val>-1.4901480078697205e-001</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 6 3 -1.</_>
-                <_>
-                  4 3 3 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4787280559539795e-001</threshold>
-            <left_val>-3.2149869203567505e-001</left_val>
-            <right_val>3.7092790007591248e-002</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 3 3 -1.</_>
-                <_>
-                  13 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.4178421162068844e-003</threshold>
-            <left_val>3.7069149315357208e-002</left_val>
-            <right_val>-9.5326058566570282e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 2 2 -1.</_>
-                <_>
-                  5 5 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7382061127573252e-003</threshold>
-            <left_val>1.1806769669055939e-001</left_val>
-            <right_val>-9.5922879874706268e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 2 2 -1.</_>
-                <_>
-                  11 3 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5352180004119873e-002</threshold>
-            <left_val>2.7664989233016968e-001</left_val>
-            <right_val>-1.6709599643945694e-002</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 2 2 -1.</_>
-                <_>
-                  7 3 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.7535870671272278e-002</threshold>
-            <left_val>2.2979779168963432e-002</left_val>
-            <right_val>-5.0430482625961304e-001</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 7 1 4 -1.</_>
-                <_>
-                  15 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.9183047637343407e-003</threshold>
-            <left_val>-3.1630870699882507e-001</left_val>
-            <right_val>1.2571889907121658e-002</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 7 1 4 -1.</_>
-                <_>
-                  2 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0292990191373974e-004</threshold>
-            <left_val>-1.1330749839544296e-001</left_val>
-            <right_val>9.1955177485942841e-002</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 9 2 2 -1.</_>
-                <_>
-                  16 9 1 1 2.</_>
-                <_>
-                  15 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.0557747171260417e-005</threshold>
-            <left_val>-6.9846302270889282e-002</left_val>
-            <right_val>7.2148926556110382e-002</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 9 2 2 -1.</_>
-                <_>
-                  1 9 1 1 2.</_>
-                <_>
-                  2 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1734660074580461e-004</threshold>
-            <left_val>-1.1082249879837036e-001</left_val>
-            <right_val>1.0122229903936386e-001</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 9 2 2 -1.</_>
-                <_>
-                  16 9 1 1 2.</_>
-                <_>
-                  15 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1783619993366301e-004</threshold>
-            <left_val>1.4102859795093536e-001</left_val>
-            <right_val>-9.9544271826744080e-002</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 3 3 -1.</_>
-                <_>
-                  0 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4811719767749310e-002</threshold>
-            <left_val>-4.0603488683700562e-001</left_val>
-            <right_val>2.6852559298276901e-002</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 9 2 2 -1.</_>
-                <_>
-                  16 9 1 1 2.</_>
-                <_>
-                  15 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.3802377048414201e-005</threshold>
-            <left_val>-9.3584023416042328e-002</left_val>
-            <right_val>9.4989858567714691e-002</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 9 2 2 -1.</_>
-                <_>
-                  1 9 1 1 2.</_>
-                <_>
-                  2 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0464636741671711e-005</threshold>
-            <left_val>1.3583730161190033e-001</left_val>
-            <right_val>-8.0927208065986633e-002</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 3 -1.</_>
-                <_>
-                  6 0 6 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.3471987843513489e-002</threshold>
-            <left_val>1.2211640179157257e-001</left_val>
-            <right_val>-8.2948893308639526e-002</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 3 12 3 -1.</_>
-                <_>
-                  3 4 12 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0417210906744003e-002</threshold>
-            <left_val>2.3326510190963745e-001</left_val>
-            <right_val>-5.5467769503593445e-002</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 5 3 -1.</_>
-                <_>
-                  7 4 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.5994319468736649e-002</threshold>
-            <left_val>-4.3605301529169083e-002</left_val>
-            <right_val>2.7403908967971802e-001</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 2 5 -1.</_>
-                <_>
-                  6 0 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2084789574146271e-002</threshold>
-            <left_val>-3.1832659244537354e-001</left_val>
-            <right_val>3.7234660238027573e-002</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 12 2 -1.</_>
-                <_>
-                  5 9 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7179569229483604e-002</threshold>
-            <left_val>-6.3782699406147003e-002</left_val>
-            <right_val>1.1758829653263092e-001</right_val></_></_>
-        <_>
-          <!-- tree 120 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 7 3 -1.</_>
-                <_>
-                  0 6 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.8567680418491364e-002</threshold>
-            <left_val>-5.9245938062667847e-001</left_val>
-            <right_val>1.9378069788217545e-002</right_val></_></_>
-        <_>
-          <!-- tree 121 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 2 4 -1.</_>
-                <_>
-                  12 5 1 2 2.</_>
-                <_>
-                  11 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.1442911177873611e-003</threshold>
-            <left_val>1.8517829477787018e-001</left_val>
-            <right_val>-2.3492490872740746e-002</right_val></_></_>
-        <_>
-          <!-- tree 122 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 8 2 4 -1.</_>
-                <_>
-                  8 8 1 2 2.</_>
-                <_>
-                  9 10 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7976995855569839e-003</threshold>
-            <left_val>2.1573910489678383e-002</left_val>
-            <right_val>-5.3710401058197021e-001</right_val></_></_>
-        <_>
-          <!-- tree 123 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 2 4 -1.</_>
-                <_>
-                  12 5 1 2 2.</_>
-                <_>
-                  11 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8270487934350967e-003</threshold>
-            <left_val>-3.1742990016937256e-002</left_val>
-            <right_val>7.7318146824836731e-002</right_val></_></_>
-        <_>
-          <!-- tree 124 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 2 4 -1.</_>
-                <_>
-                  5 5 1 2 2.</_>
-                <_>
-                  6 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.2799380607903004e-003</threshold>
-            <left_val>-6.8623512983322144e-002</left_val>
-            <right_val>1.5985569357872009e-001</right_val></_></_>
-        <_>
-          <!-- tree 125 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  6 10 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7798909246921539e-002</threshold>
-            <left_val>1.6202180087566376e-001</left_val>
-            <right_val>-7.1953997015953064e-002</right_val></_></_>
-        <_>
-          <!-- tree 126 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 6 8 -1.</_>
-                <_>
-                  0 4 6 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5101620554924011e-001</threshold>
-            <left_val>2.1610440686345100e-002</left_val>
-            <right_val>-5.1186197996139526e-001</right_val></_></_>
-        <_>
-          <!-- tree 127 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 10 1 2 -1.</_>
-                <_>
-                  17 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3851689873263240e-003</threshold>
-            <left_val>5.1120720803737640e-002</left_val>
-            <right_val>-1.0381700098514557e-001</right_val></_></_>
-        <_>
-          <!-- tree 128 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 1 2 -1.</_>
-                <_>
-                  0 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0411830153316259e-003</threshold>
-            <left_val>-2.4396219849586487e-001</left_val>
-            <right_val>4.4499509036540985e-002</right_val></_></_>
-        <_>
-          <!-- tree 129 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 6 4 6 -1.</_>
-                <_>
-                  15 6 2 3 2.</_>
-                <_>
-                  13 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3037609867751598e-002</threshold>
-            <left_val>1.8388019502162933e-001</left_val>
-            <right_val>-5.6118920445442200e-002</right_val></_></_>
-        <_>
-          <!-- tree 130 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 10 6 -1.</_>
-                <_>
-                  4 9 10 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9242310896515846e-002</threshold>
-            <left_val>-6.6036051511764526e-001</left_val>
-            <right_val>1.8416849896311760e-002</right_val></_></_>
-        <_>
-          <!-- tree 131 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 6 4 -1.</_>
-                <_>
-                  12 2 3 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0210029557347298e-002</threshold>
-            <left_val>8.8172823190689087e-002</left_val>
-            <right_val>-1.2076240032911301e-001</right_val></_></_>
-        <_>
-          <!-- tree 132 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 18 1 -1.</_>
-                <_>
-                  6 3 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0882719904184341e-002</threshold>
-            <left_val>-5.6851759552955627e-002</left_val>
-            <right_val>2.4138830602169037e-001</right_val></_></_></trees>
-      <stage_threshold>-1.6223280429840088e+000</stage_threshold>
-      <parent>11</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 13 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 2 2 -1.</_>
-                <_>
-                  5 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.2742438167333603e-003</threshold>
-            <left_val>-3.5164728760719299e-001</left_val>
-            <right_val>6.6317689418792725e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 10 6 -1.</_>
-                <_>
-                  5 4 10 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5394939482212067e-001</threshold>
-            <left_val>3.9916568994522095e-001</left_val>
-            <right_val>-2.2923450171947479e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 6 2 -1.</_>
-                <_>
-                  8 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3952860385179520e-002</threshold>
-            <left_val>3.0574640631675720e-001</left_val>
-            <right_val>-2.3735469579696655e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 7 6 -1.</_>
-                <_>
-                  11 8 7 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6925180107355118e-002</threshold>
-            <left_val>-2.9053428769111633e-001</left_val>
-            <right_val>6.1234891414642334e-002</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 3 12 3 -1.</_>
-                <_>
-                  6 3 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4537709355354309e-001</threshold>
-            <left_val>-1.2837280519306660e-003</left_val>
-            <right_val>-9.9616601562500000e+002</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 6 3 -1.</_>
-                <_>
-                  10 5 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7590580508112907e-002</threshold>
-            <left_val>8.4333486855030060e-002</left_val>
-            <right_val>-4.2432200163602829e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 1 3 -1.</_>
-                <_>
-                  6 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.7204791121184826e-003</threshold>
-            <left_val>2.9420810937881470e-001</left_val>
-            <right_val>-1.7958919703960419e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 15 6 -1.</_>
-                <_>
-                  3 4 15 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0374490171670914e-001</threshold>
-            <left_val>4.9512971192598343e-002</left_val>
-            <right_val>-6.5407678484916687e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 4 6 -1.</_>
-                <_>
-                  2 4 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3250220343470573e-002</threshold>
-            <left_val>1.6588999330997467e-001</left_val>
-            <right_val>-2.5045189261436462e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7479000166058540e-003</threshold>
-            <left_val>2.8132739663124084e-001</left_val>
-            <right_val>-5.3847521543502808e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 1 -1.</_>
-                <_>
-                  6 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5907990057021379e-003</threshold>
-            <left_val>2.8163778781890869e-001</left_val>
-            <right_val>-1.1151909828186035e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 10 -1.</_>
-                <_>
-                  15 7 3 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4214930124580860e-002</threshold>
-            <left_val>-1.9974599778652191e-001</left_val>
-            <right_val>7.9408131539821625e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 2 3 -1.</_>
-                <_>
-                  8 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.7745040133595467e-002</threshold>
-            <left_val>3.2554331421852112e-001</left_val>
-            <right_val>-8.1984512507915497e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 2 -1.</_>
-                <_>
-                  12 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1590719483792782e-003</threshold>
-            <left_val>-1.0548809915781021e-001</left_val>
-            <right_val>2.7419880032539368e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 2 2 -1.</_>
-                <_>
-                  5 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.2689487822353840e-003</threshold>
-            <left_val>1.1671839654445648e-001</left_val>
-            <right_val>-4.6409261226654053e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 4 2 -1.</_>
-                <_>
-                  9 5 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3945819810032845e-002</threshold>
-            <left_val>-3.6791551858186722e-002</left_val>
-            <right_val>3.2415330410003662e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 12 11 -1.</_>
-                <_>
-                  4 1 4 11 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2212809324264526e-001</threshold>
-            <left_val>-5.3910827636718750e-001</left_val>
-            <right_val>5.5958230048418045e-002</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 3 7 -1.</_>
-                <_>
-                  10 3 1 7 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3864409886300564e-003</threshold>
-            <left_val>-7.8881077468395233e-002</left_val>
-            <right_val>9.0365253388881683e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 7 3 -1.</_>
-                <_>
-                  8 3 7 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.1010150909423828e-002</threshold>
-            <left_val>1.8916240334510803e-001</left_val>
-            <right_val>-1.3666459918022156e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 2 1 -1.</_>
-                <_>
-                  12 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5247239498421550e-003</threshold>
-            <left_val>7.9918026924133301e-002</left_val>
-            <right_val>-1.2402609735727310e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 3 4 -1.</_>
-                <_>
-                  0 9 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.4612451456487179e-003</threshold>
-            <left_val>-3.5095998644828796e-001</left_val>
-            <right_val>6.1154339462518692e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 10 3 2 -1.</_>
-                <_>
-                  15 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6754929460585117e-003</threshold>
-            <left_val>-3.6432039737701416e-001</left_val>
-            <right_val>3.5381581634283066e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 3 2 -1.</_>
-                <_>
-                  0 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1164109241217375e-003</threshold>
-            <left_val>-4.8517960309982300e-001</left_val>
-            <right_val>4.2554508894681931e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4400090798735619e-002</threshold>
-            <left_val>1.5710610151290894e-001</left_val>
-            <right_val>-1.2803450226783752e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 6 4 -1.</_>
-                <_>
-                  7 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1188679859042168e-002</threshold>
-            <left_val>-5.2750992774963379e-001</left_val>
-            <right_val>3.5487588495016098e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 2 4 -1.</_>
-                <_>
-                  9 2 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3291889801621437e-002</threshold>
-            <left_val>2.8033518791198730e-001</left_val>
-            <right_val>-3.7135049700737000e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 4 -1.</_>
-                <_>
-                  6 4 6 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0183650255203247e-001</threshold>
-            <left_val>8.5829548537731171e-002</left_val>
-            <right_val>-2.5175920128822327e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 3 6 -1.</_>
-                <_>
-                  13 3 1 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4131929501891136e-002</threshold>
-            <left_val>-5.3279381245374680e-002</left_val>
-            <right_val>3.5114678740501404e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 3 3 6 -1.</_>
-                <_>
-                  4 3 1 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0242820280836895e-004</threshold>
-            <left_val>1.2026040256023407e-001</left_val>
-            <right_val>-1.6874420642852783e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 1 2 4 -1.</_>
-                <_>
-                  13 2 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.9411478899419308e-003</threshold>
-            <left_val>-1.2087970227003098e-001</left_val>
-            <right_val>8.8245153427124023e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 5 4 -1.</_>
-                <_>
-                  6 1 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4746619164943695e-002</threshold>
-            <left_val>3.2455161213874817e-001</left_val>
-            <right_val>-5.1918510347604752e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 7 4 -1.</_>
-                <_>
-                  8 1 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8161980435252190e-002</threshold>
-            <left_val>-9.7702257335186005e-002</left_val>
-            <right_val>1.5214580297470093e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 4 3 -1.</_>
-                <_>
-                  8 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.9903062433004379e-003</threshold>
-            <left_val>-4.3365329504013062e-001</left_val>
-            <right_val>3.9535731077194214e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 12 2 -1.</_>
-                <_>
-                  3 1 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8511410802602768e-002</threshold>
-            <left_val>-1.3791340589523315e-001</left_val>
-            <right_val>1.2306600064039230e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 16 12 -1.</_>
-                <_>
-                  8 0 8 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8645690381526947e-001</threshold>
-            <left_val>-7.2554931044578552e-002</left_val>
-            <right_val>3.1433451175689697e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 2 -1.</_>
-                <_>
-                  9 4 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.2281810939311981e-003</threshold>
-            <left_val>-1.0550970211625099e-002</left_val>
-            <right_val>1.6694310307502747e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 2 4 -1.</_>
-                <_>
-                  9 0 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0786498039960861e-003</threshold>
-            <left_val>-3.6311098933219910e-001</left_val>
-            <right_val>4.1659221053123474e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 2 1 -1.</_>
-                <_>
-                  12 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7083000391721725e-002</threshold>
-            <left_val>-3.8664668798446655e-001</left_val>
-            <right_val>6.8237301893532276e-003</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 1 2 -1.</_>
-                <_>
-                  6 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.1345129981637001e-004</threshold>
-            <left_val>7.3019772768020630e-002</left_val>
-            <right_val>-2.0337800681591034e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.2595099918544292e-003</threshold>
-            <left_val>7.5123466551303864e-002</left_val>
-            <right_val>-7.3528602719306946e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 4 2 -1.</_>
-                <_>
-                  5 2 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.2274079956114292e-002</threshold>
-            <left_val>-9.0814672410488129e-002</left_val>
-            <right_val>1.5959280729293823e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 4 4 -1.</_>
-                <_>
-                  10 5 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0794389992952347e-002</threshold>
-            <left_val>-6.5551146864891052e-002</left_val>
-            <right_val>1.2086050212383270e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 2 4 -1.</_>
-                <_>
-                  4 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4046689271926880e-002</threshold>
-            <left_val>-6.6829457879066467e-002</left_val>
-            <right_val>2.6401260495185852e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 3 -1.</_>
-                <_>
-                  16 6 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6337579116225243e-002</threshold>
-            <left_val>-6.0672587156295776e-001</left_val>
-            <right_val>1.6483150422573090e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 14 8 -1.</_>
-                <_>
-                  0 2 7 4 2.</_>
-                <_>
-                  7 6 7 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0875459909439087e-001</threshold>
-            <left_val>3.0014140531420708e-002</left_val>
-            <right_val>-4.3378108739852905e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 4 -1.</_>
-                <_>
-                  16 1 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7724540084600449e-002</threshold>
-            <left_val>3.5838410258293152e-002</left_val>
-            <right_val>-2.7149319648742676e-001</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 3 -1.</_>
-                <_>
-                  2 1 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3346381038427353e-002</threshold>
-            <left_val>-4.2977070808410645e-001</left_val>
-            <right_val>3.1222699210047722e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 2 2 -1.</_>
-                <_>
-                  10 5 1 1 2.</_>
-                <_>
-                  9 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1433180043241009e-004</threshold>
-            <left_val>-7.5262703001499176e-002</left_val>
-            <right_val>1.0365139693021774e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 10 6 -1.</_>
-                <_>
-                  3 6 5 3 2.</_>
-                <_>
-                  8 9 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8417830616235733e-002</threshold>
-            <left_val>5.5789869278669357e-002</left_val>
-            <right_val>-2.5008231401443481e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 2 -1.</_>
-                <_>
-                  9 4 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0410559847950935e-002</threshold>
-            <left_val>1.2386819720268250e-001</left_val>
-            <right_val>-1.1707239784300327e-002</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 3 2 -1.</_>
-                <_>
-                  6 4 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6924238130450249e-003</threshold>
-            <left_val>-4.1130390018224716e-002</left_val>
-            <right_val>3.5336831212043762e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 2 1 -1.</_>
-                <_>
-                  9 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0731499787652865e-004</threshold>
-            <left_val>-1.2875890731811523e-001</left_val>
-            <right_val>1.0753930360078812e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 2 -1.</_>
-                <_>
-                  8 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.6319379732012749e-003</threshold>
-            <left_val>3.1681880354881287e-002</left_val>
-            <right_val>-4.6472150087356567e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 3 3 -1.</_>
-                <_>
-                  8 1 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.4789589270949364e-003</threshold>
-            <left_val>1.9505509734153748e-001</left_val>
-            <right_val>-7.2351843118667603e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 2 3 -1.</_>
-                <_>
-                  0 6 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6427042260766029e-003</threshold>
-            <left_val>3.1191099435091019e-002</left_val>
-            <right_val>-4.9181848764419556e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 12 3 -1.</_>
-                <_>
-                  5 1 12 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7501849681138992e-002</threshold>
-            <left_val>-5.8864939957857132e-002</left_val>
-            <right_val>9.5755502581596375e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 3 3 -1.</_>
-                <_>
-                  7 3 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.6813769936561584e-002</threshold>
-            <left_val>-5.8993399143218994e-002</left_val>
-            <right_val>2.1193510293960571e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 1 3 -1.</_>
-                <_>
-                  12 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.4404280856251717e-003</threshold>
-            <left_val>1.1298300325870514e-001</left_val>
-            <right_val>-5.3965609520673752e-002</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 4 3 -1.</_>
-                <_>
-                  7 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.1326851136982441e-003</threshold>
-            <left_val>3.7554848939180374e-002</left_val>
-            <right_val>-3.5011461377143860e-001</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 10 2 2 -1.</_>
-                <_>
-                  17 10 1 1 2.</_>
-                <_>
-                  16 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.9694160376675427e-005</threshold>
-            <left_val>-1.1506149917840958e-001</left_val>
-            <right_val>1.1556260287761688e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 1 -1.</_>
-                <_>
-                  6 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.7881779074668884e-003</threshold>
-            <left_val>1.5670649707317352e-001</left_val>
-            <right_val>-8.1091910600662231e-002</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 3 3 -1.</_>
-                <_>
-                  12 3 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.8345926702022552e-002</threshold>
-            <left_val>-6.8403100594878197e-003</left_val>
-            <right_val>4.5982140302658081e-001</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 6 3 -1.</_>
-                <_>
-                  0 4 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8495989739894867e-002</threshold>
-            <left_val>3.0876770615577698e-002</left_val>
-            <right_val>-4.4429719448089600e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 10 2 2 -1.</_>
-                <_>
-                  17 10 1 1 2.</_>
-                <_>
-                  16 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0740839934442192e-004</threshold>
-            <left_val>1.3578890264034271e-001</left_val>
-            <right_val>-9.5775328576564789e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 4 3 -1.</_>
-                <_>
-                  4 6 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5251049548387527e-002</threshold>
-            <left_val>2.1702249348163605e-001</left_val>
-            <right_val>-5.6038159877061844e-002</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 6 2 -1.</_>
-                <_>
-                  10 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6355799287557602e-002</threshold>
-            <left_val>-6.2069612741470337e-001</left_val>
-            <right_val>1.1239909566938877e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 6 2 -1.</_>
-                <_>
-                  6 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7481319606304169e-002</threshold>
-            <left_val>-4.6592488884925842e-001</left_val>
-            <right_val>2.7867669239640236e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 1 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.3110379688441753e-002</threshold>
-            <left_val>-4.2753320932388306e-001</left_val>
-            <right_val>2.7280420064926147e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 7 3 -1.</_>
-                <_>
-                  5 10 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4925089664757252e-002</threshold>
-            <left_val>2.6826688647270203e-001</left_val>
-            <right_val>-5.1737930625677109e-002</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 1 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.1949039809405804e-003</threshold>
-            <left_val>5.6169319897890091e-002</left_val>
-            <right_val>-2.9064020514488220e-001</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 3 2 -1.</_>
-                <_>
-                  0 3 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3175229541957378e-002</threshold>
-            <left_val>-4.2517969012260437e-001</left_val>
-            <right_val>2.5214929133653641e-002</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 3 -1.</_>
-                <_>
-                  15 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8924409523606300e-002</threshold>
-            <left_val>-4.2502859234809875e-001</left_val>
-            <right_val>1.8218439072370529e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 3 3 -1.</_>
-                <_>
-                  0 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3100420124828815e-002</threshold>
-            <left_val>3.1988378614187241e-002</left_val>
-            <right_val>-3.6357548832893372e-001</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 2 -1.</_>
-                <_>
-                  16 0 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0436940006911755e-002</threshold>
-            <left_val>-8.0210663378238678e-002</left_val>
-            <right_val>1.3946530222892761e-001</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 2 2 -1.</_>
-                <_>
-                  2 0 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.9071624204516411e-003</threshold>
-            <left_val>2.0094929635524750e-001</left_val>
-            <right_val>-6.7795939743518829e-002</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 16 1 -1.</_>
-                <_>
-                  2 0 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3043300248682499e-002</threshold>
-            <left_val>-7.3729388415813446e-002</left_val>
-            <right_val>1.0887020081281662e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 3 2 -1.</_>
-                <_>
-                  3 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2031240165233612e-002</threshold>
-            <left_val>3.7282109260559082e-001</left_val>
-            <right_val>-3.5342540591955185e-002</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 3 4 -1.</_>
-                <_>
-                  14 2 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8900850787758827e-002</threshold>
-            <left_val>1.3418090343475342e-001</left_val>
-            <right_val>-7.4449099600315094e-002</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 1 3 -1.</_>
-                <_>
-                  8 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1057750321924686e-002</threshold>
-            <left_val>2.1446719765663147e-001</left_val>
-            <right_val>-6.2393780797719955e-002</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 3 4 -1.</_>
-                <_>
-                  14 2 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.3442380428314209e-002</threshold>
-            <left_val>-3.8823649287223816e-001</left_val>
-            <right_val>2.2986009716987610e-003</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 4 3 -1.</_>
-                <_>
-                  4 2 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.4701049327850342e-002</threshold>
-            <left_val>2.8782969713211060e-001</left_val>
-            <right_val>-4.2191769927740097e-002</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 3 3 -1.</_>
-                <_>
-                  14 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.2548220343887806e-002</threshold>
-            <left_val>3.6994919180870056e-002</left_val>
-            <right_val>-2.0595429837703705e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 14 2 -1.</_>
-                <_>
-                  2 2 14 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3881239593029022e-002</threshold>
-            <left_val>-4.9688011407852173e-002</left_val>
-            <right_val>2.8468221426010132e-001</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 3 10 -1.</_>
-                <_>
-                  13 1 1 10 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0402419865131378e-002</threshold>
-            <left_val>-5.4226320981979370e-001</left_val>
-            <right_val>1.7669109627604485e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 6 1 3 -1.</_>
-                <_>
-                  7 7 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.7337046861648560e-003</threshold>
-            <left_val>2.2132049500942230e-001</left_val>
-            <right_val>-5.3990170359611511e-002</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 15 3 -1.</_>
-                <_>
-                  8 7 5 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.9824731200933456e-002</threshold>
-            <left_val>4.8347260802984238e-002</left_val>
-            <right_val>-5.7685390114784241e-002</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 15 3 -1.</_>
-                <_>
-                  5 7 5 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9451259970664978e-001</threshold>
-            <left_val>-4.5838949084281921e-001</left_val>
-            <right_val>2.7871569618582726e-002</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 3 12 6 -1.</_>
-                <_>
-                  7 5 4 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6713800430297852e-001</threshold>
-            <left_val>9.2300467193126678e-002</left_val>
-            <right_val>-1.3205750286579132e-001</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 8 6 -1.</_>
-                <_>
-                  3 3 8 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2219720333814621e-001</threshold>
-            <left_val>2.4488289654254913e-001</left_val>
-            <right_val>-5.3463630378246307e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 2 3 1 -1.</_>
-                <_>
-                  12 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5119279734790325e-002</threshold>
-            <left_val>-1.0751979798078537e-001</left_val>
-            <right_val>2.1027600392699242e-002</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 1 3 -1.</_>
-                <_>
-                  6 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5298509970307350e-002</threshold>
-            <left_val>-4.4954741001129150e-001</left_val>
-            <right_val>2.7843480929732323e-002</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 1 -1.</_>
-                <_>
-                  8 0 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9626029320061207e-003</threshold>
-            <left_val>-3.3244648575782776e-001</left_val>
-            <right_val>2.9125649482011795e-002</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 2 2 -1.</_>
-                <_>
-                  0 10 1 1 2.</_>
-                <_>
-                  1 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6580650531686842e-005</threshold>
-            <left_val>-9.9431760609149933e-002</left_val>
-            <right_val>1.0358399897813797e-001</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 10 2 2 -1.</_>
-                <_>
-                  17 10 1 1 2.</_>
-                <_>
-                  16 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.9694160376675427e-005</threshold>
-            <left_val>-8.4918417036533356e-002</left_val>
-            <right_val>8.7375417351722717e-002</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 2 2 -1.</_>
-                <_>
-                  0 10 1 1 2.</_>
-                <_>
-                  1 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1532790085766464e-004</threshold>
-            <left_val>1.3404299318790436e-001</left_val>
-            <right_val>-8.5288509726524353e-002</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 3 10 -1.</_>
-                <_>
-                  13 1 1 10 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7475361973047256e-003</threshold>
-            <left_val>9.7248457372188568e-002</left_val>
-            <right_val>-5.3111761808395386e-002</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 4 3 -1.</_>
-                <_>
-                  5 2 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7824072688817978e-003</threshold>
-            <left_val>4.3460998684167862e-002</left_val>
-            <right_val>-2.4040910601615906e-001</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 4 3 -1.</_>
-                <_>
-                  13 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8991909921169281e-002</threshold>
-            <left_val>1.5963919460773468e-002</left_val>
-            <right_val>-5.0120067596435547e-001</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 12 2 -1.</_>
-                <_>
-                  6 10 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.8471799343824387e-002</threshold>
-            <left_val>-4.3374348431825638e-002</left_val>
-            <right_val>2.4480819702148438e-001</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 11 6 1 -1.</_>
-                <_>
-                  11 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7654506787657738e-003</threshold>
-            <left_val>2.1779999136924744e-002</left_val>
-            <right_val>-2.5518739223480225e-001</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 11 2 1 -1.</_>
-                <_>
-                  4 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1589690257096663e-004</threshold>
-            <left_val>1.0173690319061279e-001</left_val>
-            <right_val>-1.0155139863491058e-001</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 10 2 2 -1.</_>
-                <_>
-                  14 10 1 1 2.</_>
-                <_>
-                  13 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0908189869951457e-004</threshold>
-            <left_val>-9.1913960874080658e-002</left_val>
-            <right_val>9.1868981719017029e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 2 2 -1.</_>
-                <_>
-                  3 10 1 1 2.</_>
-                <_>
-                  4 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.5531923105008900e-005</threshold>
-            <left_val>-1.0584980249404907e-001</left_val>
-            <right_val>1.1017540097236633e-001</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 10 2 2 -1.</_>
-                <_>
-                  14 10 1 1 2.</_>
-                <_>
-                  13 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0539990034885705e-004</threshold>
-            <left_val>1.4530989527702332e-001</left_val>
-            <right_val>-9.5378302037715912e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 2 -1.</_>
-                <_>
-                  7 1 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2168530374765396e-002</threshold>
-            <left_val>-5.1483400166034698e-002</left_val>
-            <right_val>1.9467009603977203e-001</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 3 2 -1.</_>
-                <_>
-                  15 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3115240260958672e-002</threshold>
-            <left_val>4.1314240545034409e-002</left_val>
-            <right_val>-3.1291571259498596e-001</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 2 2 -1.</_>
-                <_>
-                  1 10 1 1 2.</_>
-                <_>
-                  2 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.6014147857204080e-005</threshold>
-            <left_val>-9.9624000489711761e-002</left_val>
-            <right_val>1.0027159750461578e-001</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 3 4 -1.</_>
-                <_>
-                  10 1 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5422589853405952e-002</threshold>
-            <left_val>1.1692500114440918e-001</left_val>
-            <right_val>-1.8570020794868469e-002</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 3 3 -1.</_>
-                <_>
-                  8 5 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9213970750570297e-002</threshold>
-            <left_val>1.4327329397201538e-001</left_val>
-            <right_val>-6.9922059774398804e-002</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 3 4 -1.</_>
-                <_>
-                  10 1 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.7866098582744598e-002</threshold>
-            <left_val>1.1692809872329235e-002</left_val>
-            <right_val>-1.2271200120449066e-001</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 6 2 -1.</_>
-                <_>
-                  9 4 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1262509971857071e-002</threshold>
-            <left_val>1.1598969995975494e-001</left_val>
-            <right_val>-9.3254141509532928e-002</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 2 3 -1.</_>
-                <_>
-                  8 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6207929700613022e-002</threshold>
-            <left_val>2.4618209898471832e-001</left_val>
-            <right_val>-4.3379079550504684e-002</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 7 2 -1.</_>
-                <_>
-                  0 8 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4976999955251813e-004</threshold>
-            <left_val>-2.4557319283485413e-001</left_val>
-            <right_val>4.6069670468568802e-002</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 10 2 2 -1.</_>
-                <_>
-                  16 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4740769751369953e-002</threshold>
-            <left_val>1.0909680277109146e-002</left_val>
-            <right_val>-6.3333719968795776e-001</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 2 2 -1.</_>
-                <_>
-                  0 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.7150652436539531e-005</threshold>
-            <left_val>-1.5137399733066559e-001</left_val>
-            <right_val>7.5497470796108246e-002</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 3 2 -1.</_>
-                <_>
-                  15 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2693350203335285e-002</threshold>
-            <left_val>-2.3802100121974945e-001</left_val>
-            <right_val>4.0871001780033112e-002</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 12 3 -1.</_>
-                <_>
-                  6 5 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.0101968944072723e-002</threshold>
-            <left_val>1.5777869150042534e-002</left_val>
-            <right_val>-6.2344980239868164e-001</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 8 4 3 -1.</_>
-                <_>
-                  7 9 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0956473723053932e-003</threshold>
-            <left_val>2.2302170097827911e-001</left_val>
-            <right_val>-5.0494540482759476e-002</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 2 3 -1.</_>
-                <_>
-                  3 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0229200124740601e-002</threshold>
-            <left_val>4.6729099005460739e-002</left_val>
-            <right_val>-2.4563209712505341e-001</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 7 3 -1.</_>
-                <_>
-                  6 2 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9207410514354706e-002</threshold>
-            <left_val>2.1942460536956787e-001</left_val>
-            <right_val>-4.6960771083831787e-002</right_val></_></_>
-        <_>
-          <!-- tree 120 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 8 1 4 -1.</_>
-                <_>
-                  5 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0802529868669808e-004</threshold>
-            <left_val>-1.0915499925613403e-001</left_val>
-            <right_val>8.9894726872444153e-002</right_val></_></_>
-        <_>
-          <!-- tree 121 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 1 9 -1.</_>
-                <_>
-                  13 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.9888280928134918e-002</threshold>
-            <left_val>-1.2375240214169025e-002</left_val>
-            <right_val>3.0649530887603760e-001</right_val></_></_>
-        <_>
-          <!-- tree 122 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 9 1 -1.</_>
-                <_>
-                  5 5 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2133570015430450e-001</threshold>
-            <left_val>-4.4181579351425171e-001</left_val>
-            <right_val>2.2245900705456734e-002</right_val></_></_>
-        <_>
-          <!-- tree 123 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 10 2 2 -1.</_>
-                <_>
-                  15 10 1 1 2.</_>
-                <_>
-                  14 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0026310337707400e-004</threshold>
-            <left_val>-7.5078979134559631e-002</left_val>
-            <right_val>7.0171989500522614e-002</right_val></_></_>
-        <_>
-          <!-- tree 124 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 10 2 2 -1.</_>
-                <_>
-                  2 10 1 1 2.</_>
-                <_>
-                  3 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0822709737112746e-004</threshold>
-            <left_val>-9.5590889453887939e-002</left_val>
-            <right_val>9.7991749644279480e-002</right_val></_></_>
-        <_>
-          <!-- tree 125 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 10 2 2 -1.</_>
-                <_>
-                  17 10 1 1 2.</_>
-                <_>
-                  16 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0740839934442192e-004</threshold>
-            <left_val>8.9312888681888580e-002</left_val>
-            <right_val>-5.8937720954418182e-002</right_val></_></_>
-        <_>
-          <!-- tree 126 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 4 3 -1.</_>
-                <_>
-                  5 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.1779044121503830e-003</threshold>
-            <left_val>2.8866490349173546e-002</left_val>
-            <right_val>-3.2336440682411194e-001</right_val></_></_>
-        <_>
-          <!-- tree 127 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2426340021193027e-002</threshold>
-            <left_val>1.5125119686126709e-001</left_val>
-            <right_val>-8.9751720428466797e-002</right_val></_></_>
-        <_>
-          <!-- tree 128 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 10 3 -1.</_>
-                <_>
-                  4 3 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6673840582370758e-002</threshold>
-            <left_val>1.6337050497531891e-001</left_val>
-            <right_val>-6.1544839292764664e-002</right_val></_></_>
-        <_>
-          <!-- tree 129 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 2 2 3 -1.</_>
-                <_>
-                  11 3 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1108940234407783e-003</threshold>
-            <left_val>-4.4395659118890762e-002</left_val>
-            <right_val>5.8737680315971375e-002</right_val></_></_>
-        <_>
-          <!-- tree 130 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 2 3 -1.</_>
-                <_>
-                  5 3 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3430960290133953e-003</threshold>
-            <left_val>-6.7445211112499237e-002</left_val>
-            <right_val>1.5874649584293365e-001</right_val></_></_>
-        <_>
-          <!-- tree 131 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 16 3 -1.</_>
-                <_>
-                  5 1 8 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5497350394725800e-002</threshold>
-            <left_val>1.2980030477046967e-001</left_val>
-            <right_val>-9.6899092197418213e-002</right_val></_></_>
-        <_>
-          <!-- tree 132 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 8 4 -1.</_>
-                <_>
-                  3 5 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6433700695633888e-002</threshold>
-            <left_val>9.4376727938652039e-002</left_val>
-            <right_val>-1.0849659889936447e-001</right_val></_></_>
-        <_>
-          <!-- tree 133 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 3 3 3 -1.</_>
-                <_>
-                  15 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1796820685267448e-002</threshold>
-            <left_val>-5.6385380029678345e-001</left_val>
-            <right_val>2.1219300106167793e-002</right_val></_></_>
-        <_>
-          <!-- tree 134 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 3 3 -1.</_>
-                <_>
-                  0 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7439846247434616e-003</threshold>
-            <left_val>3.2976679503917694e-002</left_val>
-            <right_val>-2.8045099973678589e-001</right_val></_></_>
-        <_>
-          <!-- tree 135 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 10 2 2 -1.</_>
-                <_>
-                  17 10 1 1 2.</_>
-                <_>
-                  16 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.8902099630795419e-005</threshold>
-            <left_val>-6.3391529023647308e-002</left_val>
-            <right_val>5.9122908860445023e-002</right_val></_></_>
-        <_>
-          <!-- tree 136 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 2 2 -1.</_>
-                <_>
-                  0 10 1 1 2.</_>
-                <_>
-                  1 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6580650531686842e-005</threshold>
-            <left_val>-9.6938036382198334e-002</left_val>
-            <right_val>1.0047750174999237e-001</right_val></_></_></trees>
-      <stage_threshold>-1.6293729543685913e+000</stage_threshold>
-      <parent>12</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 14 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1782609857618809e-002</threshold>
-            <left_val>-4.1238281130790710e-001</left_val>
-            <right_val>8.6988270282745361e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 3 3 -1.</_>
-                <_>
-                  8 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7742900177836418e-002</threshold>
-            <left_val>7.5632858276367188e-001</left_val>
-            <right_val>-1.5877389907836914e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 1 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3491688556969166e-003</threshold>
-            <left_val>-1.3528199493885040e-001</left_val>
-            <right_val>7.0891678333282471e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 7 4 3 -1.</_>
-                <_>
-                  7 8 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4091270044445992e-002</threshold>
-            <left_val>-1.6412720084190369e-001</left_val>
-            <right_val>6.1424720287322998e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 3 2 -1.</_>
-                <_>
-                  5 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7054432108998299e-003</threshold>
-            <left_val>5.4331731796264648e-001</left_val>
-            <right_val>-1.6219259798526764e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 3 7 -1.</_>
-                <_>
-                  10 1 1 7 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5776239335536957e-002</threshold>
-            <left_val>-3.4152381122112274e-002</left_val>
-            <right_val>1.8973289430141449e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 7 3 -1.</_>
-                <_>
-                  8 1 7 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.0932863056659698e-003</threshold>
-            <left_val>-1.9709299504756927e-001</left_val>
-            <right_val>3.2210728526115417e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 1 3 -1.</_>
-                <_>
-                  9 3 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.9854150749742985e-003</threshold>
-            <left_val>5.6217777729034424e-001</left_val>
-            <right_val>-6.9357901811599731e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 3 -1.</_>
-                <_>
-                  6 5 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8062319606542587e-002</threshold>
-            <left_val>3.7098649144172668e-001</left_val>
-            <right_val>-1.2705039978027344e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 2 2 -1.</_>
-                <_>
-                  12 5 1 1 2.</_>
-                <_>
-                  11 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6759639624506235e-003</threshold>
-            <left_val>4.1142329573631287e-001</left_val>
-            <right_val>-7.1537837386131287e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 2 2 -1.</_>
-                <_>
-                  5 5 1 1 2.</_>
-                <_>
-                  6 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1540250163525343e-003</threshold>
-            <left_val>3.7564289569854736e-001</left_val>
-            <right_val>-9.1973446309566498e-002</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 6 3 -1.</_>
-                <_>
-                  13 6 2 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0050940811634064e-002</threshold>
-            <left_val>3.1198319792747498e-001</left_val>
-            <right_val>-9.8297983407974243e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 7 2 2 -1.</_>
-                <_>
-                  6 7 1 1 2.</_>
-                <_>
-                  7 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.1365699619054794e-005</threshold>
-            <left_val>2.3951590061187744e-001</left_val>
-            <right_val>-1.6076980531215668e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 6 3 -1.</_>
-                <_>
-                  13 6 2 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.7373638749122620e-002</threshold>
-            <left_val>-2.3487670347094536e-002</left_val>
-            <right_val>5.5488550662994385e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 5 6 3 -1.</_>
-                <_>
-                  3 6 2 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0747709572315216e-002</threshold>
-            <left_val>2.6812228560447693e-001</left_val>
-            <right_val>-1.4000350236892700e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 6 4 -1.</_>
-                <_>
-                  8 3 3 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.0594231337308884e-002</threshold>
-            <left_val>2.7258900925517082e-002</left_val>
-            <right_val>-2.6374179124832153e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 8 3 -1.</_>
-                <_>
-                  7 4 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7825898946030065e-005</threshold>
-            <left_val>9.3977712094783783e-002</left_val>
-            <right_val>-3.5795810818672180e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 4 -1.</_>
-                <_>
-                  6 3 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4379208236932755e-002</threshold>
-            <left_val>-7.2088733315467834e-002</left_val>
-            <right_val>4.6868190169334412e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 10 -1.</_>
-                <_>
-                  0 7 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8061368763446808e-003</threshold>
-            <left_val>-3.3395549654960632e-001</left_val>
-            <right_val>1.0214909911155701e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 3 2 -1.</_>
-                <_>
-                  9 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.8028358295559883e-003</threshold>
-            <left_val>-2.5739600881934166e-002</left_val>
-            <right_val>4.3644779920578003e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 3 2 -1.</_>
-                <_>
-                  8 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.0131545439362526e-003</threshold>
-            <left_val>-5.1000531762838364e-002</left_val>
-            <right_val>5.7023537158966064e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 6 4 -1.</_>
-                <_>
-                  9 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5290340185165405e-002</threshold>
-            <left_val>-3.5979458689689636e-001</left_val>
-            <right_val>7.1303091943264008e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 14 12 -1.</_>
-                <_>
-                  0 0 7 6 2.</_>
-                <_>
-                  7 6 7 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9525140523910522e-001</threshold>
-            <left_val>-4.8977100849151611e-001</left_val>
-            <right_val>5.6384291499853134e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 10 2 1 -1.</_>
-                <_>
-                  11 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6473659090697765e-003</threshold>
-            <left_val>-3.3710619807243347e-001</left_val>
-            <right_val>3.4158378839492798e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 10 2 1 -1.</_>
-                <_>
-                  6 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9261409256141633e-005</threshold>
-            <left_val>1.5813310444355011e-001</left_val>
-            <right_val>-2.0216089487075806e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 8 6 3 -1.</_>
-                <_>
-                  6 9 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2714860737323761e-002</threshold>
-            <left_val>-6.4444392919540405e-002</left_val>
-            <right_val>4.4198501110076904e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 4 3 -1.</_>
-                <_>
-                  5 2 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.9951600134372711e-002</threshold>
-            <left_val>3.7973031401634216e-001</left_val>
-            <right_val>-6.2915429472923279e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 12 6 -1.</_>
-                <_>
-                  10 3 4 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4356140196323395e-001</threshold>
-            <left_val>-3.0749571323394775e-001</left_val>
-            <right_val>3.1852040439844131e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 16 7 -1.</_>
-                <_>
-                  8 4 8 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3897500634193420e-001</threshold>
-            <left_val>3.9641711115837097e-001</left_val>
-            <right_val>-6.5206609666347504e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 10 2 1 -1.</_>
-                <_>
-                  11 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0617240301799029e-005</threshold>
-            <left_val>1.3962450623512268e-001</left_val>
-            <right_val>-1.2550500035285950e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 10 2 1 -1.</_>
-                <_>
-                  6 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3697938963305205e-005</threshold>
-            <left_val>-1.2014800310134888e-001</left_val>
-            <right_val>2.5546219944953918e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3634141087532043e-002</threshold>
-            <left_val>-4.5507898926734924e-001</left_val>
-            <right_val>5.1609288901090622e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 5 4 -1.</_>
-                <_>
-                  5 1 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1138129532337189e-002</threshold>
-            <left_val>-8.3802923560142517e-002</left_val>
-            <right_val>2.9366040229797363e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 8 1 -1.</_>
-                <_>
-                  8 11 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5724230557680130e-002</threshold>
-            <left_val>1.6777889803051949e-002</left_val>
-            <right_val>-7.4661827087402344e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 11 3 -1.</_>
-                <_>
-                  3 1 11 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2827949374914169e-002</threshold>
-            <left_val>3.1140440702438354e-001</left_val>
-            <right_val>-7.4142500758171082e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 8 1 -1.</_>
-                <_>
-                  8 11 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6454121842980385e-003</threshold>
-            <left_val>2.6253340765833855e-002</left_val>
-            <right_val>-2.1291309595108032e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 6 2 -1.</_>
-                <_>
-                  6 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2331400066614151e-002</threshold>
-            <left_val>4.0855400264263153e-002</left_val>
-            <right_val>-5.2558171749114990e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 6 4 -1.</_>
-                <_>
-                  9 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4869399145245552e-002</threshold>
-            <left_val>1.6519179567694664e-002</left_val>
-            <right_val>-2.4012239277362823e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 1 4 -1.</_>
-                <_>
-                  0 3 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0881461724638939e-003</threshold>
-            <left_val>-3.2228660583496094e-001</left_val>
-            <right_val>6.2019370496273041e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 4 -1.</_>
-                <_>
-                  6 2 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4650731831789017e-002</threshold>
-            <left_val>4.3350049853324890e-001</left_val>
-            <right_val>-4.8822090029716492e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 4 -1.</_>
-                <_>
-                  7 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.6578720472753048e-003</threshold>
-            <left_val>6.4763158559799194e-002</left_val>
-            <right_val>-3.2527589797973633e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 6 3 -1.</_>
-                <_>
-                  8 5 2 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9454981684684753e-002</threshold>
-            <left_val>1.6538539528846741e-001</left_val>
-            <right_val>-1.3421210646629333e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 12 7 -1.</_>
-                <_>
-                  6 4 6 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9214299321174622e-001</threshold>
-            <left_val>-3.7593689560890198e-001</left_val>
-            <right_val>6.3063777983188629e-002</right_val></_></_></trees>
-      <stage_threshold>-1.7363870143890381e+000</stage_threshold>
-      <parent>13</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 15 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5497770160436630e-002</threshold>
-            <left_val>-3.6309579014778137e-001</left_val>
-            <right_val>8.4555262327194214e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 3 8 -1.</_>
-                <_>
-                  9 0 3 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0898319780826569e-001</threshold>
-            <left_val>-2.8083321452140808e-001</left_val>
-            <right_val>1.0766410082578659e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 2 2 -1.</_>
-                <_>
-                  7 5 1 1 2.</_>
-                <_>
-                  8 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6195109132677317e-003</threshold>
-            <left_val>6.7817902565002441e-001</left_val>
-            <right_val>-1.9760650396347046e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 1 3 -1.</_>
-                <_>
-                  10 4 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8276582062244415e-003</threshold>
-            <left_val>5.6059402227401733e-001</left_val>
-            <right_val>-1.3372389972209930e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  7 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3660199940204620e-002</threshold>
-            <left_val>-1.0383050143718719e-001</left_val>
-            <right_val>6.4858847856521606e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 2 2 -1.</_>
-                <_>
-                  12 6 1 1 2.</_>
-                <_>
-                  11 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1465899664908648e-003</threshold>
-            <left_val>-1.2784099578857422e-001</left_val>
-            <right_val>4.7746801376342773e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 2 2 -1.</_>
-                <_>
-                  5 6 1 1 2.</_>
-                <_>
-                  6 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9735051579773426e-003</threshold>
-            <left_val>-6.6067576408386230e-002</left_val>
-            <right_val>5.3896760940551758e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 2 3 -1.</_>
-                <_>
-                  12 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.8216289579868317e-002</threshold>
-            <left_val>-8.9344531297683716e-002</left_val>
-            <right_val>4.2037069797515869e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 3 3 -1.</_>
-                <_>
-                  5 6 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4441680163145065e-002</threshold>
-            <left_val>2.7944031357765198e-001</left_val>
-            <right_val>-1.3541069626808167e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 1 2 -1.</_>
-                <_>
-                  9 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9981860027182847e-005</threshold>
-            <left_val>-1.3476949930191040e-001</left_val>
-            <right_val>1.3061609864234924e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 4 2 -1.</_>
-                <_>
-                  6 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1218409985303879e-002</threshold>
-            <left_val>5.5477607250213623e-001</left_val>
-            <right_val>-5.4050721228122711e-002</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 3 2 3 -1.</_>
-                <_>
-                  12 4 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.8257170468568802e-002</threshold>
-            <left_val>-2.9511810280382633e-003</left_val>
-            <right_val>3.5025680065155029e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 3 2 -1.</_>
-                <_>
-                  6 4 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.1136209145188332e-002</threshold>
-            <left_val>3.9581200480461121e-001</left_val>
-            <right_val>-7.7712006866931915e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 8 8 -1.</_>
-                <_>
-                  9 3 4 4 2.</_>
-                <_>
-                  5 7 4 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6127890944480896e-002</threshold>
-            <left_val>6.5231159329414368e-002</left_val>
-            <right_val>-4.5123818516731262e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 2 2 -1.</_>
-                <_>
-                  8 5 1 1 2.</_>
-                <_>
-                  9 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6596338506788015e-005</threshold>
-            <left_val>1.9990539550781250e-001</left_val>
-            <right_val>-1.5452989935874939e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 12 7 -1.</_>
-                <_>
-                  7 5 6 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2514979578554630e-002</threshold>
-            <left_val>4.8256270587444305e-002</left_val>
-            <right_val>-1.9997639954090118e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 12 10 -1.</_>
-                <_>
-                  4 0 4 10 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7952239513397217e-001</threshold>
-            <left_val>6.5345346927642822e-002</left_val>
-            <right_val>-5.0162881612777710e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 2 1 -1.</_>
-                <_>
-                  9 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3697938963305205e-005</threshold>
-            <left_val>-1.4098809659481049e-001</left_val>
-            <right_val>1.1703769862651825e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 12 -1.</_>
-                <_>
-                  0 6 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6865958720445633e-003</threshold>
-            <left_val>-3.5993480682373047e-001</left_val>
-            <right_val>7.2028510272502899e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 8 3 -1.</_>
-                <_>
-                  5 4 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.5626258701086044e-002</threshold>
-            <left_val>-6.4041122794151306e-002</left_val>
-            <right_val>4.4865629076957703e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 2 -1.</_>
-                <_>
-                  6 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3676189817488194e-002</threshold>
-            <left_val>-5.7538058608770370e-002</left_val>
-            <right_val>4.1195538640022278e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 7 3 -1.</_>
-                <_>
-                  6 2 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8455330058932304e-002</threshold>
-            <left_val>-8.2572557032108307e-002</left_val>
-            <right_val>3.0728879570960999e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 2 -1.</_>
-                <_>
-                  8 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9930879138410091e-003</threshold>
-            <left_val>7.9742781817913055e-002</left_val>
-            <right_val>-3.5738870501518250e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 3 -1.</_>
-                <_>
-                  6 3 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.0958970785140991e-002</threshold>
-            <left_val>-6.2663957476615906e-002</left_val>
-            <right_val>4.1727420687675476e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 11 6 1 -1.</_>
-                <_>
-                  3 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7679559104144573e-003</threshold>
-            <left_val>-4.0190890431404114e-001</left_val>
-            <right_val>6.0980260372161865e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 1 6 8 -1.</_>
-                <_>
-                  13 1 2 8 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6978530213236809e-002</threshold>
-            <left_val>1.5577870607376099e-001</left_val>
-            <right_val>-1.2832540273666382e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 6 8 -1.</_>
-                <_>
-                  3 1 2 8 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.0770384520292282e-003</threshold>
-            <left_val>1.2041939795017242e-001</left_val>
-            <right_val>-1.6271419823169708e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 12 7 -1.</_>
-                <_>
-                  7 2 6 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8030419945716858e-002</threshold>
-            <left_val>3.4709710627794266e-002</left_val>
-            <right_val>-2.6759231090545654e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5382760204374790e-002</threshold>
-            <left_val>5.6882061064243317e-002</left_val>
-            <right_val>-3.9767611026763916e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.9336765706539154e-003</threshold>
-            <left_val>3.6032059788703918e-001</left_val>
-            <right_val>-6.6026233136653900e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 2 2 -1.</_>
-                <_>
-                  0 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8156090993434191e-003</threshold>
-            <left_val>-5.1109760999679565e-001</left_val>
-            <right_val>4.4887579977512360e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 3 -1.</_>
-                <_>
-                  5 1 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9914719983935356e-002</threshold>
-            <left_val>-7.5402297079563141e-002</left_val>
-            <right_val>3.0369639396667480e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 16 2 -1.</_>
-                <_>
-                  0 10 8 1 2.</_>
-                <_>
-                  8 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0450989082455635e-003</threshold>
-            <left_val>-2.8374141454696655e-001</left_val>
-            <right_val>7.8973956406116486e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5734959393739700e-002</threshold>
-            <left_val>-5.7694129645824432e-002</left_val>
-            <right_val>5.4260098934173584e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 2 1 -1.</_>
-                <_>
-                  1 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1617371607571840e-005</threshold>
-            <left_val>-1.3004170358181000e-001</left_val>
-            <right_val>1.5200050175189972e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 12 12 -1.</_>
-                <_>
-                  6 0 6 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3746499419212341e-001</threshold>
-            <left_val>1.7602339386940002e-002</left_val>
-            <right_val>-4.4681221246719360e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 16 11 -1.</_>
-                <_>
-                  8 1 8 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.0572451353073120e-001</threshold>
-            <left_val>3.2846671342849731e-001</left_val>
-            <right_val>-7.1565687656402588e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 8 4 3 -1.</_>
-                <_>
-                  7 9 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4338710345327854e-002</threshold>
-            <left_val>-6.4759388566017151e-002</left_val>
-            <right_val>3.0051338672637939e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 7 2 3 -1.</_>
-                <_>
-                  7 8 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.4899460412561893e-003</threshold>
-            <left_val>-8.5719607770442963e-002</left_val>
-            <right_val>2.4065899848937988e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 2 2 -1.</_>
-                <_>
-                  10 5 1 1 2.</_>
-                <_>
-                  9 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9261409256141633e-005</threshold>
-            <left_val>9.5390006899833679e-002</left_val>
-            <right_val>-9.0216562151908875e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 2 2 -1.</_>
-                <_>
-                  7 5 1 1 2.</_>
-                <_>
-                  8 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6325189284980297e-003</threshold>
-            <left_val>-3.5685008764266968e-001</left_val>
-            <right_val>5.8603391051292419e-002</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 3 3 -1.</_>
-                <_>
-                  11 6 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.4756339155137539e-003</threshold>
-            <left_val>5.5268160998821259e-002</left_val>
-            <right_val>-8.1110060214996338e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  7 6 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.3725110774394125e-005</threshold>
-            <left_val>-1.5239860117435455e-001</left_val>
-            <right_val>1.4978319406509399e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 2 2 -1.</_>
-                <_>
-                  9 5 1 1 2.</_>
-                <_>
-                  8 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9981860027182847e-005</threshold>
-            <left_val>1.6690729558467865e-001</left_val>
-            <right_val>-1.3983109593391418e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 3 1 -1.</_>
-                <_>
-                  8 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6550569608807564e-003</threshold>
-            <left_val>-3.4786760807037354e-002</left_val>
-            <right_val>4.9454191327095032e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 10 1 2 -1.</_>
-                <_>
-                  12 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6582579923560843e-005</threshold>
-            <left_val>-1.8221789598464966e-001</left_val>
-            <right_val>7.0058353245258331e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 14 1 -1.</_>
-                <_>
-                  7 9 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4936700239777565e-002</threshold>
-            <left_val>-5.5899091064929962e-002</left_val>
-            <right_val>3.3210518956184387e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 11 2 1 -1.</_>
-                <_>
-                  8 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2233650088310242e-003</threshold>
-            <left_val>-4.7210049629211426e-001</left_val>
-            <right_val>3.9656650274991989e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 6 4 -1.</_>
-                <_>
-                  6 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0253460630774498e-002</threshold>
-            <left_val>3.7779778242111206e-002</left_val>
-            <right_val>-3.8744398951530457e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 3 -1.</_>
-                <_>
-                  4 1 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5146869942545891e-002</threshold>
-            <left_val>2.5839841365814209e-001</left_val>
-            <right_val>-6.3479728996753693e-002</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 2 1 -1.</_>
-                <_>
-                  9 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9261409256141633e-005</threshold>
-            <left_val>1.1035069823265076e-001</left_val>
-            <right_val>-1.5140140056610107e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 3 -1.</_>
-                <_>
-                  7 3 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5253789499402046e-002</threshold>
-            <left_val>4.0381500124931335e-001</left_val>
-            <right_val>-4.1429519653320313e-002</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 1 2 -1.</_>
-                <_>
-                  0 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6092969346791506e-003</threshold>
-            <left_val>-2.9758319258689880e-001</left_val>
-            <right_val>5.6268099695444107e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 2 -1.</_>
-                <_>
-                  10 4 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.0167189911007881e-003</threshold>
-            <left_val>4.0989220142364502e-002</left_val>
-            <right_val>-9.0509623289108276e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 7 2 1 -1.</_>
-                <_>
-                  6 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.5015629186527804e-005</threshold>
-            <left_val>-1.0549169778823853e-001</left_val>
-            <right_val>1.4567929506301880e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 12 5 -1.</_>
-                <_>
-                  7 6 6 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1134430170059204e-001</threshold>
-            <left_val>-3.9282271265983582e-001</left_val>
-            <right_val>6.5089040435850620e-003</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 12 5 -1.</_>
-                <_>
-                  5 6 6 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2607029676437378e-002</threshold>
-            <left_val>3.4969959408044815e-002</left_val>
-            <right_val>-4.7080901265144348e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 6 12 -1.</_>
-                <_>
-                  14 0 2 12 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3675639182329178e-002</threshold>
-            <left_val>2.1920250356197357e-001</left_val>
-            <right_val>-1.7777769267559052e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 3 3 -1.</_>
-                <_>
-                  0 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.3744488656520844e-003</threshold>
-            <left_val>-4.8220250010490417e-001</left_val>
-            <right_val>3.3246569335460663e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 6 12 -1.</_>
-                <_>
-                  14 0 2 12 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8032009899616241e-001</threshold>
-            <left_val>-5.0746428966522217e-001</left_val>
-            <right_val>4.7727171331644058e-003</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 6 12 -1.</_>
-                <_>
-                  2 0 2 12 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.0522168427705765e-003</threshold>
-            <left_val>1.3129340112209320e-001</left_val>
-            <right_val>-1.2621930241584778e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 6 -1.</_>
-                <_>
-                  16 5 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3076379895210266e-002</threshold>
-            <left_val>1.8919549882411957e-001</left_val>
-            <right_val>-5.6553479284048080e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 2 6 -1.</_>
-                <_>
-                  1 5 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9346589222550392e-002</threshold>
-            <left_val>-3.0950130894780159e-002</left_val>
-            <right_val>5.7245761156082153e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 4 1 -1.</_>
-                <_>
-                  13 5 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.9990791380405426e-003</threshold>
-            <left_val>-3.7769541144371033e-002</left_val>
-            <right_val>4.1835439205169678e-001</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 3 -1.</_>
-                <_>
-                  8 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4297800138592720e-002</threshold>
-            <left_val>1.0722269862890244e-001</left_val>
-            <right_val>-1.4301869273185730e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 7 3 1 -1.</_>
-                <_>
-                  11 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0943519454449415e-005</threshold>
-            <left_val>9.8646506667137146e-002</left_val>
-            <right_val>-8.9524149894714355e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 3 -1.</_>
-                <_>
-                  6 7 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4215099625289440e-002</threshold>
-            <left_val>2.3867559432983398e-001</left_val>
-            <right_val>-6.0889568179845810e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 1 2 -1.</_>
-                <_>
-                  10 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4006508687743917e-005</threshold>
-            <left_val>-1.2491259723901749e-001</left_val>
-            <right_val>9.6516169607639313e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 1 4 -1.</_>
-                <_>
-                  0 4 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8896171133965254e-003</threshold>
-            <left_val>5.1770750433206558e-002</left_val>
-            <right_val>-2.7633678913116455e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 8 -1.</_>
-                <_>
-                  14 3 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4485709369182587e-001</threshold>
-            <left_val>-3.9524438977241516e-001</left_val>
-            <right_val>1.4283739961683750e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 10 6 -1.</_>
-                <_>
-                  3 6 5 3 2.</_>
-                <_>
-                  8 9 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.4485607445240021e-002</threshold>
-            <left_val>-3.5406059026718140e-001</left_val>
-            <right_val>3.9224278181791306e-002</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 3 2 3 -1.</_>
-                <_>
-                  13 4 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.4072000756859779e-002</threshold>
-            <left_val>2.3231640458106995e-001</left_val>
-            <right_val>-3.2994810491800308e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 3 3 -1.</_>
-                <_>
-                  6 3 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9683260470628738e-002</threshold>
-            <left_val>-5.4490741342306137e-002</left_val>
-            <right_val>2.5256949663162231e-001</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 3 4 -1.</_>
-                <_>
-                  13 4 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7556510865688324e-002</threshold>
-            <left_val>3.3798649907112122e-002</left_val>
-            <right_val>-1.7246970534324646e-001</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 12 6 -1.</_>
-                <_>
-                  1 4 6 3 2.</_>
-                <_>
-                  7 7 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5962730348110199e-001</threshold>
-            <left_val>3.2824710011482239e-002</left_val>
-            <right_val>-4.9014711380004883e-001</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 3 2 3 -1.</_>
-                <_>
-                  12 4 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5168360434472561e-002</threshold>
-            <left_val>-3.1594321131706238e-002</left_val>
-            <right_val>1.3700030744075775e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 3 2 -1.</_>
-                <_>
-                  6 4 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8054259940981865e-002</threshold>
-            <left_val>1.8131910264492035e-001</left_val>
-            <right_val>-7.3166027665138245e-002</right_val></_></_></trees>
-      <stage_threshold>-1.7063260078430176e+000</stage_threshold>
-      <parent>14</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 16 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5180639028549194e-002</threshold>
-            <left_val>6.9966208934783936e-001</left_val>
-            <right_val>-3.5598480701446533e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 3 3 -1.</_>
-                <_>
-                  8 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4972269311547279e-002</threshold>
-            <left_val>6.5660268068313599e-001</left_val>
-            <right_val>-1.3398469984531403e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 3 3 -1.</_>
-                <_>
-                  6 4 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.5527230948209763e-002</threshold>
-            <left_val>5.7874792814254761e-001</left_val>
-            <right_val>-1.2656690180301666e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7877001129090786e-003</threshold>
-            <left_val>3.2121130824089050e-001</left_val>
-            <right_val>-9.2314563691616058e-002</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 1 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0429969988763332e-002</threshold>
-            <left_val>-8.6593657732009888e-002</left_val>
-            <right_val>6.6687929630279541e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 6 6 -1.</_>
-                <_>
-                  12 6 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9914349913597107e-001</threshold>
-            <left_val>-1.1814249679446220e-002</left_val>
-            <right_val>2.8926709294319153e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 6 6 -1.</_>
-                <_>
-                  4 6 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3934800028800964e-001</threshold>
-            <left_val>2.7977100014686584e-001</left_val>
-            <right_val>-1.1972069740295410e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 4 3 -1.</_>
-                <_>
-                  8 3 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4900620579719543e-002</threshold>
-            <left_val>6.0853272676467896e-001</left_val>
-            <right_val>-3.3297471702098846e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1045788675546646e-003</threshold>
-            <left_val>7.4957266449928284e-002</left_val>
-            <right_val>-5.1426941156387329e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 2 4 -1.</_>
-                <_>
-                  12 5 1 2 2.</_>
-                <_>
-                  11 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1164579540491104e-002</threshold>
-            <left_val>-4.2139139026403427e-002</left_val>
-            <right_val>3.2087740302085876e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 11 6 1 -1.</_>
-                <_>
-                  6 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.9737460687756538e-003</threshold>
-            <left_val>5.8269631117582321e-002</left_val>
-            <right_val>-5.2123707532882690e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 2 4 -1.</_>
-                <_>
-                  12 5 1 2 2.</_>
-                <_>
-                  11 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0200380347669125e-002</threshold>
-            <left_val>2.6471599936485291e-001</left_val>
-            <right_val>-4.6848529018461704e-003</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 2 4 -1.</_>
-                <_>
-                  5 5 1 2 2.</_>
-                <_>
-                  6 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.4758108928799629e-003</threshold>
-            <left_val>-1.0912910103797913e-001</left_val>
-            <right_val>3.3013060688972473e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 12 4 -1.</_>
-                <_>
-                  5 7 12 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.2913921177387238e-002</threshold>
-            <left_val>-2.7027499675750732e-001</left_val>
-            <right_val>5.7806611061096191e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 3 2 2 -1.</_>
-                <_>
-                  2 3 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.2694900445640087e-003</threshold>
-            <left_val>6.7417383193969727e-002</left_val>
-            <right_val>-3.9489638805389404e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 11 6 1 -1.</_>
-                <_>
-                  9 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2788378670811653e-003</threshold>
-            <left_val>4.4355489313602448e-002</left_val>
-            <right_val>-4.2548438906669617e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 4 4 -1.</_>
-                <_>
-                  3 5 2 2 2.</_>
-                <_>
-                  5 7 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2712450474500656e-002</threshold>
-            <left_val>4.3758571147918701e-001</left_val>
-            <right_val>-5.6706890463829041e-002</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 6 2 -1.</_>
-                <_>
-                  8 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8580600619316101e-002</threshold>
-            <left_val>-6.1528331041336060e-001</left_val>
-            <right_val>4.0651239454746246e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 6 3 -1.</_>
-                <_>
-                  6 5 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2815988659858704e-002</threshold>
-            <left_val>3.9717459678649902e-001</left_val>
-            <right_val>-5.5707391351461411e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 9 1 3 -1.</_>
-                <_>
-                  17 10 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.7739210054278374e-003</threshold>
-            <left_val>7.1527756750583649e-002</left_val>
-            <right_val>-3.6739039421081543e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 12 2 -1.</_>
-                <_>
-                  8 0 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1746100857853889e-002</threshold>
-            <left_val>1.3615989685058594e-001</left_val>
-            <right_val>-1.5944430232048035e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 9 1 3 -1.</_>
-                <_>
-                  17 10 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6994749894365668e-003</threshold>
-            <left_val>-2.8949651122093201e-001</left_val>
-            <right_val>7.2794176638126373e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 5 8 -1.</_>
-                <_>
-                  6 6 5 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.4074663221836090e-002</threshold>
-            <left_val>3.6687631160020828e-002</left_val>
-            <right_val>-4.8284009099006653e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5314641445875168e-002</threshold>
-            <left_val>-2.9834219813346863e-001</left_val>
-            <right_val>6.0024339705705643e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 2 3 -1.</_>
-                <_>
-                  6 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.3436840176582336e-002</threshold>
-            <left_val>-3.6994270980358124e-002</left_val>
-            <right_val>6.1292910575866699e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.1329999268054962e-003</threshold>
-            <left_val>9.7552441060543060e-002</left_val>
-            <right_val>-8.2057207822799683e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 6 6 -1.</_>
-                <_>
-                  8 5 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7359552979469299e-002</threshold>
-            <left_val>1.0101430118083954e-001</left_val>
-            <right_val>-1.9310599565505981e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.7818439304828644e-002</threshold>
-            <left_val>-8.6803017184138298e-003</left_val>
-            <right_val>4.1474840044975281e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 2 3 -1.</_>
-                <_>
-                  7 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5347029790282249e-002</threshold>
-            <left_val>4.2153739929199219e-001</left_val>
-            <right_val>-4.4529590755701065e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 11 4 1 -1.</_>
-                <_>
-                  11 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.7832679916173220e-003</threshold>
-            <left_val>4.8425801098346710e-002</left_val>
-            <right_val>-3.4922879934310913e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 2 3 -1.</_>
-                <_>
-                  7 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.3268889635801315e-002</threshold>
-            <left_val>-6.6568560898303986e-002</left_val>
-            <right_val>2.6760068535804749e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 3 -1.</_>
-                <_>
-                  12 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1013819389045238e-003</threshold>
-            <left_val>7.8247211873531342e-002</left_val>
-            <right_val>-3.5030668973922729e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 3 -1.</_>
-                <_>
-                  4 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1671819724142551e-002</threshold>
-            <left_val>3.1337831169366837e-002</left_val>
-            <right_val>-4.9763050675392151e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 10 -1.</_>
-                <_>
-                  17 5 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.7239661216735840e-002</threshold>
-            <left_val>2.2004479542374611e-002</left_val>
-            <right_val>-5.3065848350524902e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 10 -1.</_>
-                <_>
-                  0 5 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4776130206882954e-002</threshold>
-            <left_val>-3.2586520910263062e-001</left_val>
-            <right_val>5.5654410272836685e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 15 2 -1.</_>
-                <_>
-                  7 5 5 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9921749830245972e-001</threshold>
-            <left_val>-5.2553087472915649e-001</left_val>
-            <right_val>3.2468371093273163e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 11 4 1 -1.</_>
-                <_>
-                  5 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0785730816423893e-003</threshold>
-            <left_val>-4.8107388615608215e-001</left_val>
-            <right_val>2.9926039278507233e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 8 3 -1.</_>
-                <_>
-                  5 10 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.1787680499255657e-003</threshold>
-            <left_val>1.9346639513969421e-001</left_val>
-            <right_val>-8.5371166467666626e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 1 2 -1.</_>
-                <_>
-                  3 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.9532832130789757e-003</threshold>
-            <left_val>4.7720771282911301e-002</left_val>
-            <right_val>-3.3479538559913635e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 3 3 -1.</_>
-                <_>
-                  9 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2821669690310955e-002</threshold>
-            <left_val>2.1228149533271790e-001</left_val>
-            <right_val>-4.3001249432563782e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 1 4 -1.</_>
-                <_>
-                  0 10 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7380151227116585e-003</threshold>
-            <left_val>-4.9310049414634705e-001</left_val>
-            <right_val>3.3275339752435684e-002</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 1 9 -1.</_>
-                <_>
-                  13 4 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.1670171320438385e-002</threshold>
-            <left_val>6.1839159578084946e-002</left_val>
-            <right_val>-8.9411988854408264e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 9 1 -1.</_>
-                <_>
-                  5 4 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2189070135354996e-001</threshold>
-            <left_val>-5.4505228996276855e-001</left_val>
-            <right_val>3.2852120697498322e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 8 4 3 -1.</_>
-                <_>
-                  14 9 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5401430428028107e-002</threshold>
-            <left_val>-3.1807848811149597e-001</left_val>
-            <right_val>1.4967699535191059e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 11 -1.</_>
-                <_>
-                  1 0 1 11 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3675070852041245e-002</threshold>
-            <left_val>-2.7233030647039413e-002</left_val>
-            <right_val>5.3073042631149292e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 6 2 6 -1.</_>
-                <_>
-                  17 6 1 3 2.</_>
-                <_>
-                  16 9 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6405509822070599e-003</threshold>
-            <left_val>-3.3072780817747116e-002</left_val>
-            <right_val>8.4785066545009613e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 2 6 -1.</_>
-                <_>
-                  0 6 1 3 2.</_>
-                <_>
-                  1 9 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.1956089009763673e-005</threshold>
-            <left_val>-2.0156539976596832e-001</left_val>
-            <right_val>8.2180216908454895e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 6 3 1 -1.</_>
-                <_>
-                  9 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8447040822356939e-003</threshold>
-            <left_val>1.3294629752635956e-001</left_val>
-            <right_val>-7.7659137547016144e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 12 6 -1.</_>
-                <_>
-                  4 3 4 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4447699487209320e-001</threshold>
-            <left_val>3.8755510002374649e-002</left_val>
-            <right_val>-3.7729701399803162e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 2 4 -1.</_>
-                <_>
-                  11 5 1 2 2.</_>
-                <_>
-                  10 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5187789686024189e-002</threshold>
-            <left_val>-1.8020100891590118e-002</left_val>
-            <right_val>3.1634598970413208e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 3 -1.</_>
-                <_>
-                  5 1 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1923990696668625e-002</threshold>
-            <left_val>2.9422530531883240e-001</left_val>
-            <right_val>-4.8749800771474838e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 5 3 -1.</_>
-                <_>
-                  8 1 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8610840663313866e-002</threshold>
-            <left_val>-5.6667249649763107e-002</left_val>
-            <right_val>2.1379719674587250e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 3 -1.</_>
-                <_>
-                  0 5 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9478588625788689e-003</threshold>
-            <left_val>4.7943778336048126e-002</left_val>
-            <right_val>-3.1509420275688171e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 6 4 -1.</_>
-                <_>
-                  11 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6161081641912460e-002</threshold>
-            <left_val>-4.7610089182853699e-001</left_val>
-            <right_val>2.9308699071407318e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 2 4 -1.</_>
-                <_>
-                  6 5 1 2 2.</_>
-                <_>
-                  7 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1872449889779091e-002</threshold>
-            <left_val>-3.6026339977979660e-002</left_val>
-            <right_val>4.1018471121788025e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 5 1 4 -1.</_>
-                <_>
-                  17 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2818480655550957e-003</threshold>
-            <left_val>-2.1089139580726624e-001</left_val>
-            <right_val>2.9605450108647346e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 1 4 -1.</_>
-                <_>
-                  0 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.4704189747571945e-003</threshold>
-            <left_val>4.0655650198459625e-002</left_val>
-            <right_val>-3.3085140585899353e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 4 3 -1.</_>
-                <_>
-                  11 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.5958840548992157e-002</threshold>
-            <left_val>3.6941869184374809e-003</left_val>
-            <right_val>-3.6771050095558167e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 3 4 -1.</_>
-                <_>
-                  7 4 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.2840991169214249e-002</threshold>
-            <left_val>2.3720830678939819e-001</left_val>
-            <right_val>-6.0800980776548386e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 1 4 -1.</_>
-                <_>
-                  13 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1817189864814281e-002</threshold>
-            <left_val>-2.4793669581413269e-001</left_val>
-            <right_val>1.3696460053324699e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 1 4 -1.</_>
-                <_>
-                  4 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2998480349779129e-002</threshold>
-            <left_val>-6.2347020953893661e-002</left_val>
-            <right_val>2.9573059082031250e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3825829178094864e-002</threshold>
-            <left_val>2.1070300042629242e-001</left_val>
-            <right_val>-6.8099439144134521e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 2 4 -1.</_>
-                <_>
-                  5 0 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0883940383791924e-002</threshold>
-            <left_val>-4.7151368856430054e-001</left_val>
-            <right_val>3.1116139143705368e-002</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 3 -1.</_>
-                <_>
-                  6 2 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0772840604186058e-002</threshold>
-            <left_val>4.0928280353546143e-001</left_val>
-            <right_val>-4.0188588201999664e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 12 2 -1.</_>
-                <_>
-                  6 10 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6424789801239967e-002</threshold>
-            <left_val>-5.2670851349830627e-002</left_val>
-            <right_val>2.5522339344024658e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 10 4 -1.</_>
-                <_>
-                  4 1 5 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.2143590748310089e-002</threshold>
-            <left_val>-1.1854399740695953e-001</left_val>
-            <right_val>1.2375999987125397e-001</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  8 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.8667740561068058e-003</threshold>
-            <left_val>-3.4111011028289795e-001</left_val>
-            <right_val>3.9649881422519684e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 1 3 -1.</_>
-                <_>
-                  12 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.9784085974097252e-003</threshold>
-            <left_val>2.3357069492340088e-001</left_val>
-            <right_val>-4.1538249701261520e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 12 6 -1.</_>
-                <_>
-                  0 4 6 3 2.</_>
-                <_>
-                  6 7 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5251199901103973e-001</threshold>
-            <left_val>3.2831441611051559e-002</left_val>
-            <right_val>-3.8840961456298828e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 7 1 3 -1.</_>
-                <_>
-                  17 8 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2495389245450497e-003</threshold>
-            <left_val>-2.9752320051193237e-001</left_val>
-            <right_val>1.9470980390906334e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 1 3 -1.</_>
-                <_>
-                  5 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6419220529496670e-003</threshold>
-            <left_val>-3.4735631197690964e-002</left_val>
-            <right_val>3.4990420937538147e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 4 4 -1.</_>
-                <_>
-                  12 1 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7110049724578857e-002</threshold>
-            <left_val>-3.3298000693321228e-002</left_val>
-            <right_val>9.1474249958992004e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 3 1 -1.</_>
-                <_>
-                  4 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.7776986658573151e-003</threshold>
-            <left_val>-4.3720889091491699e-001</left_val>
-            <right_val>2.9044499620795250e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 3 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5141129735857248e-003</threshold>
-            <left_val>1.2397520244121552e-001</left_val>
-            <right_val>-7.6406501233577728e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 3 1 -1.</_>
-                <_>
-                  8 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.4081619493663311e-003</threshold>
-            <left_val>-3.2332200556993484e-002</left_val>
-            <right_val>3.6264058947563171e-001</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 1 -1.</_>
-                <_>
-                  7 6 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.7686367332935333e-003</threshold>
-            <left_val>1.0199560225009918e-001</left_val>
-            <right_val>-1.2560969591140747e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 2 4 4 -1.</_>
-                <_>
-                  1 2 2 2 2.</_>
-                <_>
-                  3 4 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.6744568757712841e-003</threshold>
-            <left_val>1.0714609920978546e-001</left_val>
-            <right_val>-1.1194419860839844e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 2 1 -1.</_>
-                <_>
-                  12 3 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5654099881649017e-002</threshold>
-            <left_val>6.4865481853485107e-001</left_val>
-            <right_val>-7.8786844387650490e-003</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 2 2 -1.</_>
-                <_>
-                  5 2 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9749540835618973e-002</threshold>
-            <left_val>3.7323061376810074e-002</left_val>
-            <right_val>-3.4825590252876282e-001</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 6 3 -1.</_>
-                <_>
-                  11 2 6 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0802859216928482e-002</threshold>
-            <left_val>8.4190078079700470e-002</left_val>
-            <right_val>-3.6445919424295425e-002</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 3 6 -1.</_>
-                <_>
-                  7 2 1 6 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.2063199430704117e-002</threshold>
-            <left_val>-5.9582170099020004e-002</left_val>
-            <right_val>2.1152189373970032e-001</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 4 2 -1.</_>
-                <_>
-                  9 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.3523709066212177e-003</threshold>
-            <left_val>2.7724659070372581e-002</left_val>
-            <right_val>-4.0503290295600891e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 4 2 -1.</_>
-                <_>
-                  7 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.5603959802538157e-003</threshold>
-            <left_val>5.0967320799827576e-002</left_val>
-            <right_val>-2.6350560784339905e-001</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 4 5 -1.</_>
-                <_>
-                  13 1 2 5 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.0307959765195847e-002</threshold>
-            <left_val>5.4715231060981750e-002</left_val>
-            <right_val>-9.5685377717018127e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 12 7 -1.</_>
-                <_>
-                  7 5 4 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6106768846511841e-001</threshold>
-            <left_val>-3.2228010892868042e-001</left_val>
-            <right_val>3.1508989632129669e-002</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 3 4 -1.</_>
-                <_>
-                  13 6 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8650289401412010e-002</threshold>
-            <left_val>3.4172570705413818e-001</left_val>
-            <right_val>-2.2077450528740883e-002</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 4 3 -1.</_>
-                <_>
-                  5 6 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.1903461813926697e-002</threshold>
-            <left_val>-1.6342630609869957e-002</left_val>
-            <right_val>6.5226632356643677e-001</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 8 8 4 -1.</_>
-                <_>
-                  9 8 4 2 2.</_>
-                <_>
-                  5 10 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1047720462083817e-002</threshold>
-            <left_val>-3.6522111296653748e-001</left_val>
-            <right_val>3.4920029342174530e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 9 12 1 -1.</_>
-                <_>
-                  8 9 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5979911684989929e-002</threshold>
-            <left_val>2.1591410040855408e-001</left_val>
-            <right_val>-5.5970121175050735e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 18 1 -1.</_>
-                <_>
-                  0 11 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.9886161237955093e-002</threshold>
-            <left_val>4.4573429971933365e-002</left_val>
-            <right_val>-3.0152690410614014e-001</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 1 3 -1.</_>
-                <_>
-                  0 8 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9145331829786301e-003</threshold>
-            <left_val>3.1792480498552322e-002</left_val>
-            <right_val>-3.2067620754241943e-001</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 1 4 -1.</_>
-                <_>
-                  14 6 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.9716869816184044e-002</threshold>
-            <left_val>-2.5787210464477539e-001</left_val>
-            <right_val>3.7697579711675644e-002</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 3 3 -1.</_>
-                <_>
-                  4 1 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2731749340891838e-002</threshold>
-            <left_val>-3.6135891079902649e-001</left_val>
-            <right_val>2.9329940676689148e-002</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  9 0 9 6 2.</_>
-                <_>
-                  0 6 9 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0700128674507141e-001</threshold>
-            <left_val>-5.6401658058166504e-001</left_val>
-            <right_val>1.7949940636754036e-002</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 4 4 -1.</_>
-                <_>
-                  3 5 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9415460526943207e-002</threshold>
-            <left_val>1.4522629976272583e-001</left_val>
-            <right_val>-7.1183227002620697e-002</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 1 4 -1.</_>
-                <_>
-                  14 6 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.8602709032129496e-005</threshold>
-            <left_val>2.3447860032320023e-002</left_val>
-            <right_val>-7.4233293533325195e-002</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 1 -1.</_>
-                <_>
-                  4 6 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.1794691234827042e-002</threshold>
-            <left_val>-4.3648260831832886e-001</left_val>
-            <right_val>3.1634360551834106e-002</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 16 1 -1.</_>
-                <_>
-                  5 10 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1113259494304657e-002</threshold>
-            <left_val>-2.8742879629135132e-002</left_val>
-            <right_val>4.2367678880691528e-001</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9094129353761673e-003</threshold>
-            <left_val>2.8096439316868782e-002</left_val>
-            <right_val>-3.5525271296501160e-001</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 16 4 -1.</_>
-                <_>
-                  2 1 16 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3127149343490601e-002</threshold>
-            <left_val>-6.3333027064800262e-002</left_val>
-            <right_val>1.2167730182409286e-001</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 3 -1.</_>
-                <_>
-                  6 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.1103478074073792e-003</threshold>
-            <left_val>1.5755009651184082e-001</left_val>
-            <right_val>-6.5233632922172546e-002</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 1 3 1 -1.</_>
-                <_>
-                  14 2 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.4811979904770851e-003</threshold>
-            <left_val>-3.1289771199226379e-001</left_val>
-            <right_val>4.7166388481855392e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 1 8 -1.</_>
-                <_>
-                  4 3 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6476139426231384e-002</threshold>
-            <left_val>1.1513979732990265e-001</left_val>
-            <right_val>-8.6872749030590057e-002</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 4 -1.</_>
-                <_>
-                  0 4 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7051448822021484e-001</threshold>
-            <left_val>-4.4175881147384644e-001</left_val>
-            <right_val>2.5920050218701363e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 3 3 -1.</_>
-                <_>
-                  4 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.1307939440011978e-002</threshold>
-            <left_val>4.0796020627021790e-001</left_val>
-            <right_val>-2.7346299961209297e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 3 -1.</_>
-                <_>
-                  15 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.5358042269945145e-003</threshold>
-            <left_val>-2.1038420498371124e-001</left_val>
-            <right_val>3.9202261716127396e-002</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 1 2 -1.</_>
-                <_>
-                  2 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.6511092223227024e-003</threshold>
-            <left_val>4.8896100372076035e-002</left_val>
-            <right_val>-2.0760509371757507e-001</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 1 -1.</_>
-                <_>
-                  16 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0118389764102176e-004</threshold>
-            <left_val>1.2528030574321747e-001</left_val>
-            <right_val>-2.1875940263271332e-001</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 7 3 -1.</_>
-                <_>
-                  8 2 7 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.7405759319663048e-002</threshold>
-            <left_val>1.5803159773349762e-001</left_val>
-            <right_val>-7.3161102831363678e-002</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 2 2 -1.</_>
-                <_>
-                  14 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3358670286834240e-002</threshold>
-            <left_val>-1.0327829979360104e-002</left_val>
-            <right_val>1.9837729632854462e-001</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 2 3 -1.</_>
-                <_>
-                  8 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6863640397787094e-002</threshold>
-            <left_val>1.5782469511032104e-001</left_val>
-            <right_val>-8.3013407886028290e-002</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 6 5 -1.</_>
-                <_>
-                  12 2 2 5 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.6753689646720886e-002</threshold>
-            <left_val>2.1774150431156158e-002</left_val>
-            <right_val>-1.2496709823608398e-001</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 5 6 -1.</_>
-                <_>
-                  6 2 5 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.4787309765815735e-001</threshold>
-            <left_val>-5.5887281894683838e-001</left_val>
-            <right_val>1.9629070535302162e-002</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 2 -1.</_>
-                <_>
-                  12 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5863390639424324e-002</threshold>
-            <left_val>-4.4667821377515793e-002</left_val>
-            <right_val>3.5529270768165588e-001</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.4960109293460846e-002</threshold>
-            <left_val>-2.6829180121421814e-001</left_val>
-            <right_val>4.8722568899393082e-002</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 2 -1.</_>
-                <_>
-                  17 4 1 1 2.</_>
-                <_>
-                  16 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2794410546775907e-005</threshold>
-            <left_val>8.3423823118209839e-002</left_val>
-            <right_val>-7.9932630062103271e-002</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 1 3 -1.</_>
-                <_>
-                  3 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7223030328750610e-002</threshold>
-            <left_val>-5.3263998031616211e-001</left_val>
-            <right_val>1.9519500434398651e-002</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 2 -1.</_>
-                <_>
-                  14 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3742740266025066e-003</threshold>
-            <left_val>7.8433223068714142e-002</left_val>
-            <right_val>-1.6823059320449829e-001</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 4 2 -1.</_>
-                <_>
-                  2 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.1677848249673843e-003</threshold>
-            <left_val>-5.8949600905179977e-002</left_val>
-            <right_val>1.9434289634227753e-001</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 17 2 -1.</_>
-                <_>
-                  1 11 17 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4254640564322472e-002</threshold>
-            <left_val>-5.3892469406127930e-001</left_val>
-            <right_val>1.2915720231831074e-002</right_val></_></_></trees>
-      <stage_threshold>-1.6296470165252686e+000</stage_threshold>
-      <parent>15</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 17 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9386109709739685e-002</threshold>
-            <left_val>6.7190408706665039e-001</left_val>
-            <right_val>-2.7040511369705200e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 3 -1.</_>
-                <_>
-                  14 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.8521290346980095e-003</threshold>
-            <left_val>1.5782390534877777e-001</left_val>
-            <right_val>-1.1456169933080673e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 4 3 -1.</_>
-                <_>
-                  2 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3724600672721863e-002</threshold>
-            <left_val>3.0622988939285278e-001</left_val>
-            <right_val>-3.1042310595512390e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 11 8 -1.</_>
-                <_>
-                  7 8 11 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8008269369602203e-001</threshold>
-            <left_val>-4.3263959884643555e-001</left_val>
-            <right_val>3.6715991795063019e-002</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 1 3 -1.</_>
-                <_>
-                  7 4 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8437011688947678e-003</threshold>
-            <left_val>3.9657589793205261e-001</left_val>
-            <right_val>-1.3096019625663757e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 7 6 -1.</_>
-                <_>
-                  11 9 7 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4490400254726410e-001</threshold>
-            <left_val>6.3096016645431519e-002</left_val>
-            <right_val>-1.8521189689636230e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 7 6 -1.</_>
-                <_>
-                  0 9 7 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7838220149278641e-002</threshold>
-            <left_val>-4.3671241402626038e-001</left_val>
-            <right_val>9.5829539000988007e-002</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  6 0 3 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6507797241210938e-003</threshold>
-            <left_val>-1.9749960303306580e-001</left_val>
-            <right_val>1.3382530212402344e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 13 2 -1.</_>
-                <_>
-                  1 11 13 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4434559531509876e-003</threshold>
-            <left_val>-2.8863328695297241e-001</left_val>
-            <right_val>8.0679617822170258e-002</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 1 3 -1.</_>
-                <_>
-                  10 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1448189616203308e-002</threshold>
-            <left_val>2.0668460428714752e-001</left_val>
-            <right_val>-2.9727399349212646e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 1 3 -1.</_>
-                <_>
-                  3 4 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5179160051047802e-002</threshold>
-            <left_val>-5.1914721727371216e-001</left_val>
-            <right_val>3.8224801421165466e-002</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 6 -1.</_>
-                <_>
-                  10 4 1 6 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.7604092657566071e-002</threshold>
-            <left_val>-4.6431368589401245e-001</left_val>
-            <right_val>1.1916999705135822e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 6 4 -1.</_>
-                <_>
-                  8 5 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8936419859528542e-002</threshold>
-            <left_val>1.1738669872283936e-001</left_val>
-            <right_val>-1.8909810483455658e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 4 -1.</_>
-                <_>
-                  8 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0080969892442226e-002</threshold>
-            <left_val>-4.3171709775924683e-001</left_val>
-            <right_val>4.2613830417394638e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 10 4 -1.</_>
-                <_>
-                  3 1 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.0424810498952866e-002</threshold>
-            <left_val>-8.4850631654262543e-002</left_val>
-            <right_val>2.1506150066852570e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 2 -1.</_>
-                <_>
-                  6 0 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4389303326606750e-002</threshold>
-            <left_val>1.7555430531501770e-001</left_val>
-            <right_val>-1.0601290315389633e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 6 2 -1.</_>
-                <_>
-                  4 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1437110379338264e-002</threshold>
-            <left_val>2.1907110512256622e-001</left_val>
-            <right_val>-8.4247410297393799e-002</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 3 -1.</_>
-                <_>
-                  10 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.1345440596342087e-003</threshold>
-            <left_val>-4.1084781289100647e-001</left_val>
-            <right_val>5.6968819350004196e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 3 1 -1.</_>
-                <_>
-                  5 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.5703564584255219e-003</threshold>
-            <left_val>-5.5861141532659531e-002</left_val>
-            <right_val>3.6446011066436768e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 3 -1.</_>
-                <_>
-                  14 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.4563569873571396e-003</threshold>
-            <left_val>-3.7393100559711456e-002</left_val>
-            <right_val>1.3930140435695648e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 4 3 -1.</_>
-                <_>
-                  2 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3805219680070877e-002</threshold>
-            <left_val>-1.5813879668712616e-001</left_val>
-            <right_val>1.2095350027084351e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 8 4 4 -1.</_>
-                <_>
-                  14 9 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3389449343085289e-002</threshold>
-            <left_val>2.1982479840517044e-002</left_val>
-            <right_val>-4.8894658684730530e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 6 2 -1.</_>
-                <_>
-                  6 0 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4841769821941853e-002</threshold>
-            <left_val>-4.2008030414581299e-001</left_val>
-            <right_val>4.2827770113945007e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 8 4 4 -1.</_>
-                <_>
-                  14 9 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9951960071921349e-002</threshold>
-            <left_val>-3.8262298703193665e-001</left_val>
-            <right_val>1.7620539292693138e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 4 4 -1.</_>
-                <_>
-                  0 9 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5557182058691978e-003</threshold>
-            <left_val>-3.3374428749084473e-001</left_val>
-            <right_val>4.9041308462619781e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 4 3 -1.</_>
-                <_>
-                  14 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.5748967938125134e-003</threshold>
-            <left_val>2.9259499162435532e-002</left_val>
-            <right_val>-1.7972069978713989e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 4 3 -1.</_>
-                <_>
-                  0 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0564279742538929e-002</threshold>
-            <left_val>3.8666039705276489e-002</left_val>
-            <right_val>-3.8292339444160461e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 1 3 -1.</_>
-                <_>
-                  10 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7607624009251595e-003</threshold>
-            <left_val>-1.6946149989962578e-002</left_val>
-            <right_val>1.9596639275550842e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 2 -1.</_>
-                <_>
-                  11 4 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.9941717684268951e-002</threshold>
-            <left_val>1.3279989361763000e-001</left_val>
-            <right_val>-1.0967929661273956e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 6 -1.</_>
-                <_>
-                  8 2 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2798118889331818e-002</threshold>
-            <left_val>2.1123570203781128e-001</left_val>
-            <right_val>-5.2206270396709442e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9366537034511566e-002</threshold>
-            <left_val>-3.1673339009284973e-001</left_val>
-            <right_val>5.1063869148492813e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 7 2 2 -1.</_>
-                <_>
-                  11 7 1 1 2.</_>
-                <_>
-                  10 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.8841950483620167e-003</threshold>
-            <left_val>-5.1112260669469833e-002</left_val>
-            <right_val>2.8360730409622192e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 7 4 -1.</_>
-                <_>
-                  0 8 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.5134568810462952e-002</threshold>
-            <left_val>3.0124710872769356e-002</left_val>
-            <right_val>-4.3692100048065186e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 3 1 -1.</_>
-                <_>
-                  14 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.8909007608890533e-003</threshold>
-            <left_val>4.1621170938014984e-002</left_val>
-            <right_val>-3.7158828973770142e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 1 3 -1.</_>
-                <_>
-                  4 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5983669087290764e-002</threshold>
-            <left_val>-5.1140671968460083e-001</left_val>
-            <right_val>2.4840809404850006e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 4 3 -1.</_>
-                <_>
-                  11 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.4470201730728149e-002</threshold>
-            <left_val>-2.1385170519351959e-001</left_val>
-            <right_val>1.8365900032222271e-003</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 3 4 -1.</_>
-                <_>
-                  7 4 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.3956471830606461e-002</threshold>
-            <left_val>-4.1229560971260071e-002</left_val>
-            <right_val>3.3696550130844116e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 1 3 -1.</_>
-                <_>
-                  10 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0578580442816019e-003</threshold>
-            <left_val>6.2026239931583405e-002</left_val>
-            <right_val>-6.6379219293594360e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 2 5 -1.</_>
-                <_>
-                  3 5 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9420420285314322e-003</threshold>
-            <left_val>7.9117313027381897e-002</left_val>
-            <right_val>-1.9388359785079956e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 10 3 -1.</_>
-                <_>
-                  5 1 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0667409524321556e-002</threshold>
-            <left_val>1.7511230707168579e-001</left_val>
-            <right_val>-5.5765930563211441e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 5 3 -1.</_>
-                <_>
-                  5 1 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1788690462708473e-002</threshold>
-            <left_val>-8.2900352776050568e-002</left_val>
-            <right_val>1.5535129606723785e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 3 -1.</_>
-                <_>
-                  14 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8824249505996704e-002</threshold>
-            <left_val>3.0222170054912567e-002</left_val>
-            <right_val>-4.0415239334106445e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 1 3 -1.</_>
-                <_>
-                  7 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.3997547626495361e-003</threshold>
-            <left_val>2.0664639770984650e-001</left_val>
-            <right_val>-6.2480248510837555e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 6 4 -1.</_>
-                <_>
-                  6 5 3 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8516681194305420e-002</threshold>
-            <left_val>-5.4968580603599548e-002</left_val>
-            <right_val>2.5411149859428406e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  9 0 9 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0517799258232117e-001</threshold>
-            <left_val>-6.1518680304288864e-002</left_val>
-            <right_val>2.1540619432926178e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 16 2 -1.</_>
-                <_>
-                  5 10 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0942661464214325e-002</threshold>
-            <left_val>2.0580589771270752e-001</left_val>
-            <right_val>-6.6298596560955048e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 6 3 -1.</_>
-                <_>
-                  7 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0694980397820473e-002</threshold>
-            <left_val>-3.8925689458847046e-001</left_val>
-            <right_val>3.6689650267362595e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 3 10 -1.</_>
-                <_>
-                  13 0 1 10 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.5016449391841888e-002</threshold>
-            <left_val>-3.2912530004978180e-002</left_val>
-            <right_val>2.2270810604095459e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 3 10 -1.</_>
-                <_>
-                  4 0 1 10 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4674070775508881e-002</threshold>
-            <left_val>-5.1711809635162354e-001</left_val>
-            <right_val>2.5168089196085930e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 2 -1.</_>
-                <_>
-                  10 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4877469297498465e-003</threshold>
-            <left_val>1.1860589683055878e-001</left_val>
-            <right_val>-1.0493949800729752e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 3 2 -1.</_>
-                <_>
-                  6 0 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.0133477672934532e-003</threshold>
-            <left_val>3.0495999380946159e-002</left_val>
-            <right_val>-3.5960870981216431e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 6 5 -1.</_>
-                <_>
-                  11 0 2 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6038149893283844e-003</threshold>
-            <left_val>6.1225108802318573e-002</left_val>
-            <right_val>-2.3886460065841675e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 4 -1.</_>
-                <_>
-                  7 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.0930928923189640e-003</threshold>
-            <left_val>5.0354178994894028e-002</left_val>
-            <right_val>-2.4130879342556000e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 2 -1.</_>
-                <_>
-                  9 0 6 1 2.</_>
-                <_>
-                  3 1 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.2711968570947647e-003</threshold>
-            <left_val>1.7760099470615387e-001</left_val>
-            <right_val>-6.8700566887855530e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 3 3 -1.</_>
-                <_>
-                  8 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.6021431013941765e-003</threshold>
-            <left_val>1.5871450304985046e-001</left_val>
-            <right_val>-7.1639142930507660e-002</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 2 -1.</_>
-                <_>
-                  10 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9862489551305771e-002</threshold>
-            <left_val>-3.8224980235099792e-001</left_val>
-            <right_val>8.9862719178199768e-003</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 2 -1.</_>
-                <_>
-                  7 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5749119967222214e-003</threshold>
-            <left_val>2.2762650251388550e-001</left_val>
-            <right_val>-6.0182739049196243e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 2 3 -1.</_>
-                <_>
-                  9 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.6771429926156998e-002</threshold>
-            <left_val>-1.8169719725847244e-002</left_val>
-            <right_val>2.0630699396133423e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 18 2 -1.</_>
-                <_>
-                  6 5 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6554858684539795e-001</threshold>
-            <left_val>-4.8712089657783508e-001</left_val>
-            <right_val>2.7063539251685143e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 4 4 -1.</_>
-                <_>
-                  13 3 2 2 2.</_>
-                <_>
-                  11 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6141930371522903e-002</threshold>
-            <left_val>1.9213640689849854e-001</left_val>
-            <right_val>-2.7676820755004883e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 3 2 -1.</_>
-                <_>
-                  9 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.9902370423078537e-002</threshold>
-            <left_val>-4.2627981305122375e-001</left_val>
-            <right_val>2.9879650101065636e-002</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 8 6 2 -1.</_>
-                <_>
-                  13 8 3 1 2.</_>
-                <_>
-                  10 9 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6611340474337339e-003</threshold>
-            <left_val>1.0172230005264282e-001</left_val>
-            <right_val>-4.3250489979982376e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 6 2 -1.</_>
-                <_>
-                  2 8 3 1 2.</_>
-                <_>
-                  5 9 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.8367520794272423e-003</threshold>
-            <left_val>-6.7465707659721375e-002</left_val>
-            <right_val>1.9671800732612610e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 6 2 -1.</_>
-                <_>
-                  10 9 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6790149733424187e-002</threshold>
-            <left_val>-3.9753469824790955e-001</left_val>
-            <right_val>3.7431109696626663e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 4 2 -1.</_>
-                <_>
-                  9 6 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2243920005857944e-002</threshold>
-            <left_val>5.5608421564102173e-002</left_val>
-            <right_val>-2.0048050582408905e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 3 3 -1.</_>
-                <_>
-                  12 3 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.1686821281909943e-002</threshold>
-            <left_val>-1.0107450187206268e-002</left_val>
-            <right_val>2.9090631008148193e-001</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 8 4 -1.</_>
-                <_>
-                  5 4 4 2 2.</_>
-                <_>
-                  9 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.1395501494407654e-002</threshold>
-            <left_val>-6.0413521528244019e-001</left_val>
-            <right_val>1.9080249592661858e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 3 3 -1.</_>
-                <_>
-                  12 3 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.5230207080021501e-005</threshold>
-            <left_val>-4.3509960174560547e-002</left_val>
-            <right_val>4.5345060527324677e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 8 5 4 -1.</_>
-                <_>
-                  6 9 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0757230222225189e-002</threshold>
-            <left_val>1.9926990568637848e-001</left_val>
-            <right_val>-5.0487600266933441e-002</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 3 1 -1.</_>
-                <_>
-                  14 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.2588269785046577e-002</threshold>
-            <left_val>-1.5318900346755981e-002</left_val>
-            <right_val>1.7491130530834198e-001</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 1 3 -1.</_>
-                <_>
-                  4 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.1975219249725342e-002</threshold>
-            <left_val>-4.5546808838844299e-001</left_val>
-            <right_val>2.2921970114111900e-002</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 3 3 -1.</_>
-                <_>
-                  12 3 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8598889932036400e-002</threshold>
-            <left_val>6.3289977610111237e-002</left_val>
-            <right_val>-2.2360650822520256e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 3 3 -1.</_>
-                <_>
-                  6 3 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.1398629546165466e-002</threshold>
-            <left_val>-2.9707899317145348e-002</left_val>
-            <right_val>3.4164550900459290e-001</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 3 -1.</_>
-                <_>
-                  13 1 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5574470162391663e-002</threshold>
-            <left_val>1.1719810217618942e-001</left_val>
-            <right_val>-5.0286509096622467e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 3 3 2 -1.</_>
-                <_>
-                  3 4 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9469770379364491e-003</threshold>
-            <left_val>9.2899397015571594e-002</left_val>
-            <right_val>-1.4018329977989197e-001</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 14 6 -1.</_>
-                <_>
-                  11 3 7 3 2.</_>
-                <_>
-                  4 6 7 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5679700300097466e-003</threshold>
-            <left_val>-4.5396000146865845e-002</left_val>
-            <right_val>5.7984590530395508e-002</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 3 8 6 -1.</_>
-                <_>
-                  2 3 4 3 2.</_>
-                <_>
-                  6 6 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2352210283279419e-001</threshold>
-            <left_val>1.8805639818310738e-002</left_val>
-            <right_val>-5.6560719013214111e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 3 -1.</_>
-                <_>
-                  16 5 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0430569818709046e-004</threshold>
-            <left_val>8.0288991332054138e-002</left_val>
-            <right_val>-1.1547219753265381e-001</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 3 -1.</_>
-                <_>
-                  0 5 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7123868763446808e-003</threshold>
-            <left_val>-3.7258410453796387e-001</left_val>
-            <right_val>3.0633870512247086e-002</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 2 1 -1.</_>
-                <_>
-                  12 4 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7766250297427177e-002</threshold>
-            <left_val>1.8392249941825867e-001</left_val>
-            <right_val>-3.2872468233108521e-002</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 1 2 -1.</_>
-                <_>
-                  6 4 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5392260684166104e-004</threshold>
-            <left_val>-1.1578179895877838e-001</left_val>
-            <right_val>9.7096182405948639e-002</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 3 -1.</_>
-                <_>
-                  17 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6866529844701290e-003</threshold>
-            <left_val>-2.7469968795776367e-001</left_val>
-            <right_val>5.0014968961477280e-002</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 2 8 -1.</_>
-                <_>
-                  9 2 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6139489412307739e-001</threshold>
-            <left_val>1.6754530370235443e-001</left_val>
-            <right_val>-6.5458148717880249e-002</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 16 12 -1.</_>
-                <_>
-                  2 0 8 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0767639577388763e-001</threshold>
-            <left_val>5.1562719047069550e-002</left_val>
-            <right_val>-1.7276130616664886e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 10 3 -1.</_>
-                <_>
-                  4 4 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3081259578466415e-002</threshold>
-            <left_val>-4.6209480613470078e-002</left_val>
-            <right_val>2.2093529999256134e-001</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 4 3 -1.</_>
-                <_>
-                  7 4 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0417399927973747e-002</threshold>
-            <left_val>1.2907770276069641e-001</left_val>
-            <right_val>-8.3780996501445770e-002</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 1 3 -1.</_>
-                <_>
-                  0 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3997350838035345e-003</threshold>
-            <left_val>3.1802389770746231e-002</left_val>
-            <right_val>-2.9635548591613770e-001</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 1 5 3 -1.</_>
-                <_>
-                  12 2 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5930660068988800e-002</threshold>
-            <left_val>1.0412970185279846e-001</left_val>
-            <right_val>-6.9342762231826782e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 12 7 -1.</_>
-                <_>
-                  4 4 4 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3908320069313049e-001</threshold>
-            <left_val>-5.0697857141494751e-001</left_val>
-            <right_val>2.0860239863395691e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 2 2 -1.</_>
-                <_>
-                  13 4 1 1 2.</_>
-                <_>
-                  12 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.0117949247360229e-003</threshold>
-            <left_val>-2.8569610789418221e-002</left_val>
-            <right_val>1.7320330440998077e-001</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 4 3 -1.</_>
-                <_>
-                  7 2 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7363999076187611e-003</threshold>
-            <left_val>-1.8128049373626709e-001</left_val>
-            <right_val>5.3030159324407578e-002</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 2 2 -1.</_>
-                <_>
-                  13 4 1 1 2.</_>
-                <_>
-                  12 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1724679972976446e-003</threshold>
-            <left_val>1.4318360388278961e-001</left_val>
-            <right_val>-4.6536020934581757e-002</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 3 3 -1.</_>
-                <_>
-                  6 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1111910454928875e-002</threshold>
-            <left_val>2.0232780277729034e-001</left_val>
-            <right_val>-4.8444561660289764e-002</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 4 1 2 -1.</_>
-                <_>
-                  11 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0085949907079339e-004</threshold>
-            <left_val>5.5502779781818390e-002</left_val>
-            <right_val>-6.3348926603794098e-002</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 1 6 -1.</_>
-                <_>
-                  4 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.1863000467419624e-002</threshold>
-            <left_val>1.3861429691314697e-001</left_val>
-            <right_val>-7.0301473140716553e-002</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 14 7 -1.</_>
-                <_>
-                  4 5 7 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9870280623435974e-001</threshold>
-            <left_val>5.3018219769001007e-003</left_val>
-            <right_val>-4.9552699923515320e-001</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 16 7 -1.</_>
-                <_>
-                  8 5 8 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9273781180381775e-001</threshold>
-            <left_val>2.2202910482883453e-001</left_val>
-            <right_val>-5.9545800089836121e-002</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 11 14 1 -1.</_>
-                <_>
-                  4 11 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7936239987611771e-002</threshold>
-            <left_val>1.7134670168161392e-002</left_val>
-            <right_val>-6.2441098690032959e-001</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 12 1 -1.</_>
-                <_>
-                  6 11 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.2372408360242844e-003</threshold>
-            <left_val>-6.5199822187423706e-002</left_val>
-            <right_val>1.7533220350742340e-001</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 2 1 -1.</_>
-                <_>
-                  15 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0964090004563332e-002</threshold>
-            <left_val>2.3662520572543144e-002</left_val>
-            <right_val>-3.8045209646224976e-001</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 2 2 -1.</_>
-                <_>
-                  4 4 1 1 2.</_>
-                <_>
-                  5 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9963670056313276e-003</threshold>
-            <left_val>1.6336169838905334e-001</left_val>
-            <right_val>-6.1245940625667572e-002</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 2 2 -1.</_>
-                <_>
-                  12 3 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.6385689154267311e-002</threshold>
-            <left_val>1.3814860582351685e-001</left_val>
-            <right_val>-1.7998920753598213e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 2 2 -1.</_>
-                <_>
-                  6 3 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.4890769273042679e-002</threshold>
-            <left_val>2.2105880081653595e-002</left_val>
-            <right_val>-4.3824601173400879e-001</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 5 3 -1.</_>
-                <_>
-                  7 3 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3625978976488113e-002</threshold>
-            <left_val>-4.6475131064653397e-002</left_val>
-            <right_val>1.9136969745159149e-001</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 2 2 7 -1.</_>
-                <_>
-                  2 2 1 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6936049107462168e-003</threshold>
-            <left_val>6.9527350366115570e-002</left_val>
-            <right_val>-1.3958020508289337e-001</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 2 -1.</_>
-                <_>
-                  14 0 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6001410782337189e-002</threshold>
-            <left_val>1.7003299295902252e-001</left_val>
-            <right_val>-2.2912779822945595e-002</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 2 4 -1.</_>
-                <_>
-                  4 0 1 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2382080554962158e-002</threshold>
-            <left_val>2.7026671171188354e-001</left_val>
-            <right_val>-4.0354069322347641e-002</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 5 8 -1.</_>
-                <_>
-                  11 7 5 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0552508831024170e-002</threshold>
-            <left_val>-7.1423888206481934e-001</left_val>
-            <right_val>8.3871074020862579e-003</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 6 2 6 -1.</_>
-                <_>
-                  1 6 1 3 2.</_>
-                <_>
-                  2 9 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9464749842882156e-002</threshold>
-            <left_val>2.0357880741357803e-002</left_val>
-            <right_val>-5.0658088922500610e-001</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 1 5 3 -1.</_>
-                <_>
-                  12 2 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.7326802313327789e-003</threshold>
-            <left_val>4.5126538723707199e-002</left_val>
-            <right_val>-4.7429598867893219e-002</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 8 2 -1.</_>
-                <_>
-                  2 10 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2775048855692148e-003</threshold>
-            <left_val>-1.0658310353755951e-001</left_val>
-            <right_val>1.0186749696731567e-001</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 1 5 3 -1.</_>
-                <_>
-                  12 2 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.3961221575737000e-002</threshold>
-            <left_val>-9.4395978376269341e-003</left_val>
-            <right_val>8.8545367121696472e-002</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 3 5 -1.</_>
-                <_>
-                  6 2 1 5 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.6761499941349030e-002</threshold>
-            <left_val>2.4322110414505005e-001</left_val>
-            <right_val>-4.4136319309473038e-002</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 2 2 -1.</_>
-                <_>
-                  13 3 1 1 2.</_>
-                <_>
-                  12 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1103870201623067e-004</threshold>
-            <left_val>4.3608471751213074e-002</left_val>
-            <right_val>-4.5845959335565567e-002</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 2 2 -1.</_>
-                <_>
-                  4 3 1 1 2.</_>
-                <_>
-                  5 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0285600001225248e-004</threshold>
-            <left_val>9.3662150204181671e-002</left_val>
-            <right_val>-1.0273990035057068e-001</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 3 1 -1.</_>
-                <_>
-                  15 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0630009695887566e-002</threshold>
-            <left_val>3.1317610293626785e-002</left_val>
-            <right_val>-4.0388751029968262e-001</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 1 3 -1.</_>
-                <_>
-                  3 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8916089087724686e-002</threshold>
-            <left_val>-6.6609549522399902e-001</left_val>
-            <right_val>1.2026290409266949e-002</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 1 3 6 -1.</_>
-                <_>
-                  15 2 1 6 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.4989351183176041e-002</threshold>
-            <left_val>-2.2083500400185585e-002</left_val>
-            <right_val>3.1624680757522583e-001</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 7 2 3 -1.</_>
-                <_>
-                  8 8 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.3135945498943329e-003</threshold>
-            <left_val>2.4396809935569763e-001</left_val>
-            <right_val>-3.4472171217203140e-002</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 10 2 1 -1.</_>
-                <_>
-                  13 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1829029972432181e-004</threshold>
-            <left_val>7.6737791299819946e-002</left_val>
-            <right_val>-7.4983909726142883e-002</right_val></_></_>
-        <_>
-          <!-- tree 120 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 15 4 -1.</_>
-                <_>
-                  0 8 15 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6458101123571396e-002</threshold>
-            <left_val>-6.8958371877670288e-001</left_val>
-            <right_val>1.3191980309784412e-002</right_val></_></_>
-        <_>
-          <!-- tree 121 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 11 6 1 -1.</_>
-                <_>
-                  11 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8806230509653687e-003</threshold>
-            <left_val>7.5947493314743042e-002</left_val>
-            <right_val>-4.7749940305948257e-002</right_val></_></_>
-        <_>
-          <!-- tree 122 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 11 6 1 -1.</_>
-                <_>
-                  5 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.1947557628154755e-003</threshold>
-            <left_val>2.6319609954953194e-002</left_val>
-            <right_val>-3.6540159583091736e-001</right_val></_></_>
-        <_>
-          <!-- tree 123 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 11 4 1 -1.</_>
-                <_>
-                  9 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3926942162215710e-003</threshold>
-            <left_val>-4.3237671256065369e-001</left_val>
-            <right_val>1.5065680257976055e-002</right_val></_></_>
-        <_>
-          <!-- tree 124 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 3 3 -1.</_>
-                <_>
-                  8 6 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3078089579939842e-002</threshold>
-            <left_val>1.3706269860267639e-001</left_val>
-            <right_val>-6.0588121414184570e-002</right_val></_></_>
-        <_>
-          <!-- tree 125 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 4 -1.</_>
-                <_>
-                  9 4 9 2 2.</_>
-                <_>
-                  0 6 9 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5273529291152954e-001</threshold>
-            <left_val>-4.8930040001869202e-001</left_val>
-            <right_val>1.8007790669798851e-002</right_val></_></_>
-        <_>
-          <!-- tree 126 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 16 12 -1.</_>
-                <_>
-                  8 0 8 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.0859832763671875e-001</threshold>
-            <left_val>-1.8213309347629547e-002</left_val>
-            <right_val>5.0210291147232056e-001</right_val></_></_>
-        <_>
-          <!-- tree 127 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 16 2 -1.</_>
-                <_>
-                  2 2 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.1210429519414902e-003</threshold>
-            <left_val>-9.2683613300323486e-002</left_val>
-            <right_val>7.1713283658027649e-002</right_val></_></_>
-        <_>
-          <!-- tree 128 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 9 6 -1.</_>
-                <_>
-                  3 2 9 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5781129896640778e-001</threshold>
-            <left_val>4.0578329563140869e-001</left_val>
-            <right_val>-2.4888839572668076e-002</right_val></_></_>
-        <_>
-          <!-- tree 129 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 2 1 -1.</_>
-                <_>
-                  15 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0054220445454121e-002</threshold>
-            <left_val>-2.6102149486541748e-001</left_val>
-            <right_val>2.1513199433684349e-002</right_val></_></_>
-        <_>
-          <!-- tree 130 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 1 2 -1.</_>
-                <_>
-                  3 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0722960345447063e-002</threshold>
-            <left_val>2.1149590611457825e-002</left_val>
-            <right_val>-4.4449388980865479e-001</right_val></_></_>
-        <_>
-          <!-- tree 131 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 3 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.4461651705205441e-003</threshold>
-            <left_val>1.4982509613037109e-001</left_val>
-            <right_val>-6.8097911775112152e-002</right_val></_></_>
-        <_>
-          <!-- tree 132 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 2 2 -1.</_>
-                <_>
-                  4 2 1 1 2.</_>
-                <_>
-                  5 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0270509665133432e-004</threshold>
-            <left_val>9.1675288975238800e-002</left_val>
-            <right_val>-9.6970669925212860e-002</right_val></_></_>
-        <_>
-          <!-- tree 133 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 3 3 -1.</_>
-                <_>
-                  14 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3320950567722321e-002</threshold>
-            <left_val>-1.9236829876899719e-001</left_val>
-            <right_val>3.7209238857030869e-002</right_val></_></_>
-        <_>
-          <!-- tree 134 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 5 3 -1.</_>
-                <_>
-                  4 4 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.6009110733866692e-002</threshold>
-            <left_val>1.7083279788494110e-001</left_val>
-            <right_val>-5.8662418276071548e-002</right_val></_></_>
-        <_>
-          <!-- tree 135 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 6 7 -1.</_>
-                <_>
-                  14 5 2 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3390360400080681e-002</threshold>
-            <left_val>1.3289719820022583e-001</left_val>
-            <right_val>-1.0905700176954269e-001</right_val></_></_>
-        <_>
-          <!-- tree 136 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 4 2 -1.</_>
-                <_>
-                  2 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1657520197331905e-002</threshold>
-            <left_val>-4.7384869307279587e-002</left_val>
-            <right_val>1.9837440550327301e-001</right_val></_></_>
-        <_>
-          <!-- tree 137 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 15 1 -1.</_>
-                <_>
-                  8 1 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5216249972581863e-002</threshold>
-            <left_val>9.0810291469097137e-002</left_val>
-            <right_val>-8.1595033407211304e-002</right_val></_></_>
-        <_>
-          <!-- tree 138 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 8 2 -1.</_>
-                <_>
-                  4 2 4 1 2.</_>
-                <_>
-                  8 3 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0137271173298359e-003</threshold>
-            <left_val>1.3411369919776917e-001</left_val>
-            <right_val>-8.9783012866973877e-002</right_val></_></_>
-        <_>
-          <!-- tree 139 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8997131157666445e-003</threshold>
-            <left_val>1.3354049623012543e-001</left_val>
-            <right_val>-2.7490219101309776e-002</right_val></_></_>
-        <_>
-          <!-- tree 140 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 12 8 -1.</_>
-                <_>
-                  3 8 12 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.5744711160659790e-001</threshold>
-            <left_val>-6.3561663031578064e-002</left_val>
-            <right_val>1.5566839277744293e-001</right_val></_></_>
-        <_>
-          <!-- tree 141 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 6 6 -1.</_>
-                <_>
-                  14 5 2 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3599389791488647e-001</threshold>
-            <left_val>-4.9014529585838318e-001</left_val>
-            <right_val>9.3379104509949684e-003</right_val></_></_>
-        <_>
-          <!-- tree 142 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 6 6 -1.</_>
-                <_>
-                  2 5 2 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2645169645547867e-002</threshold>
-            <left_val>1.6510139405727386e-001</left_val>
-            <right_val>-6.5266229212284088e-002</right_val></_></_>
-        <_>
-          <!-- tree 143 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 2 6 1 -1.</_>
-                <_>
-                  10 2 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.3665400743484497e-002</threshold>
-            <left_val>-4.8871468752622604e-003</left_val>
-            <right_val>7.4069589376449585e-001</right_val></_></_>
-        <_>
-          <!-- tree 144 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 1 6 -1.</_>
-                <_>
-                  8 2 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.5547451376914978e-002</threshold>
-            <left_val>4.9933698773384094e-001</left_val>
-            <right_val>-1.6801070421934128e-002</right_val></_></_>
-        <_>
-          <!-- tree 145 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 4 2 -1.</_>
-                <_>
-                  11 5 2 1 2.</_>
-                <_>
-                  9 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.5683398172259331e-003</threshold>
-            <left_val>9.0739540755748749e-002</left_val>
-            <right_val>-3.3331640064716339e-002</right_val></_></_>
-        <_>
-          <!-- tree 146 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 4 2 -1.</_>
-                <_>
-                  5 5 2 1 2.</_>
-                <_>
-                  7 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2663889676332474e-002</threshold>
-            <left_val>-3.5381950438022614e-002</left_val>
-            <right_val>2.8114819526672363e-001</right_val></_></_>
-        <_>
-          <!-- tree 147 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 10 2 1 -1.</_>
-                <_>
-                  13 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0308570199413225e-004</threshold>
-            <left_val>-6.0301329940557480e-002</left_val>
-            <right_val>9.2195279896259308e-002</right_val></_></_>
-        <_>
-          <!-- tree 148 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 2 1 -1.</_>
-                <_>
-                  4 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.6807813204359263e-005</threshold>
-            <left_val>9.1417297720909119e-002</left_val>
-            <right_val>-1.0815770179033279e-001</right_val></_></_>
-        <_>
-          <!-- tree 149 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 6 -1.</_>
-                <_>
-                  17 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.5817271135747433e-003</threshold>
-            <left_val>2.9872510582208633e-002</left_val>
-            <right_val>-1.7231559753417969e-001</right_val></_></_>
-        <_>
-          <!-- tree 150 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 8 -1.</_>
-                <_>
-                  0 4 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0975960418581963e-002</threshold>
-            <left_val>4.0259808301925659e-002</left_val>
-            <right_val>-2.1657769381999969e-001</right_val></_></_>
-        <_>
-          <!-- tree 151 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 4 -1.</_>
-                <_>
-                  16 1 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2732270173728466e-002</threshold>
-            <left_val>2.3903559893369675e-002</left_val>
-            <right_val>-3.2514059543609619e-001</right_val></_></_>
-        <_>
-          <!-- tree 152 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 3 1 -1.</_>
-                <_>
-                  2 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.6572989821434021e-003</threshold>
-            <left_val>2.0860520005226135e-001</left_val>
-            <right_val>-4.3289590626955032e-002</right_val></_></_>
-        <_>
-          <!-- tree 153 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 3 -1.</_>
-                <_>
-                  15 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.5848739147186279e-003</threshold>
-            <left_val>4.0576349943876266e-002</left_val>
-            <right_val>-2.5737819075584412e-001</right_val></_></_>
-        <_>
-          <!-- tree 154 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 14 4 -1.</_>
-                <_>
-                  2 1 14 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6772130280733109e-002</threshold>
-            <left_val>-8.6598917841911316e-002</left_val>
-            <right_val>1.0538879781961441e-001</right_val></_></_>
-        <_>
-          <!-- tree 155 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 3 -1.</_>
-                <_>
-                  6 2 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4040360227227211e-002</threshold>
-            <left_val>1.9790090620517731e-001</left_val>
-            <right_val>-5.0357129424810410e-002</right_val></_></_>
-        <_>
-          <!-- tree 156 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 2 2 -1.</_>
-                <_>
-                  4 10 1 1 2.</_>
-                <_>
-                  5 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.7764357633423060e-005</threshold>
-            <left_val>-9.0779386460781097e-002</left_val>
-            <right_val>9.9890656769275665e-002</right_val></_></_>
-        <_>
-          <!-- tree 157 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 3 3 -1.</_>
-                <_>
-                  12 0 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4859418198466301e-003</threshold>
-            <left_val>-2.3571990430355072e-001</left_val>
-            <right_val>4.4631820172071457e-002</right_val></_></_>
-        <_>
-          <!-- tree 158 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 2 2 -1.</_>
-                <_>
-                  4 10 1 1 2.</_>
-                <_>
-                  5 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1004119733115658e-004</threshold>
-            <left_val>1.1131180077791214e-001</left_val>
-            <right_val>-8.0598853528499603e-002</right_val></_></_>
-        <_>
-          <!-- tree 159 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 3 1 -1.</_>
-                <_>
-                  13 4 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.5401768982410431e-002</threshold>
-            <left_val>-4.6270359307527542e-003</left_val>
-            <right_val>3.5879731178283691e-001</right_val></_></_>
-        <_>
-          <!-- tree 160 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 1 3 -1.</_>
-                <_>
-                  5 4 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.8854090962558985e-003</threshold>
-            <left_val>4.6248920261859894e-002</left_val>
-            <right_val>-1.9142200052738190e-001</right_val></_></_>
-        <_>
-          <!-- tree 161 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 3 -1.</_>
-                <_>
-                  15 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7548590674996376e-002</threshold>
-            <left_val>-4.6502590179443359e-001</left_val>
-            <right_val>6.3705849461257458e-003</right_val></_></_>
-        <_>
-          <!-- tree 162 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 3 2 2 -1.</_>
-                <_>
-                  1 3 1 1 2.</_>
-                <_>
-                  2 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2218310439493507e-004</threshold>
-            <left_val>-6.8593278527259827e-002</left_val>
-            <right_val>1.2230750173330307e-001</right_val></_></_>
-        <_>
-          <!-- tree 163 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 3 -1.</_>
-                <_>
-                  15 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0193839989369735e-004</threshold>
-            <left_val>4.5737609267234802e-002</left_val>
-            <right_val>-4.4129759073257446e-002</right_val></_></_>
-        <_>
-          <!-- tree 164 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 3 3 -1.</_>
-                <_>
-                  0 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4042990282177925e-002</threshold>
-            <left_val>2.5051740929484367e-002</left_val>
-            <right_val>-3.3193638920783997e-001</right_val></_></_>
-        <_>
-          <!-- tree 165 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 3 2 2 -1.</_>
-                <_>
-                  16 3 1 1 2.</_>
-                <_>
-                  15 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.1185698693152517e-005</threshold>
-            <left_val>4.5867718756198883e-002</left_val>
-            <right_val>-4.8201519995927811e-002</right_val></_></_>
-        <_>
-          <!-- tree 166 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 4 4 -1.</_>
-                <_>
-                  0 3 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3652809895575047e-002</threshold>
-            <left_val>-2.2167709469795227e-001</left_val>
-            <right_val>3.6618560552597046e-002</right_val></_></_>
-        <_>
-          <!-- tree 167 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 4 3 1 -1.</_>
-                <_>
-                  15 4 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3016860000789165e-002</threshold>
-            <left_val>-6.6395550966262817e-001</left_val>
-            <right_val>6.4530200324952602e-003</right_val></_></_>
-        <_>
-          <!-- tree 168 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 3 1 -1.</_>
-                <_>
-                  2 4 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0348210129886866e-003</threshold>
-            <left_val>1.9975389540195465e-001</left_val>
-            <right_val>-4.4125560671091080e-002</right_val></_></_></trees>
-      <stage_threshold>-1.5289800167083740e+000</stage_threshold>
-      <parent>16</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 18 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 7 4 1 -1.</_>
-                <_>
-                  5 7 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.8687296956777573e-003</threshold>
-            <left_val>-3.2520338892936707e-001</left_val>
-            <right_val>7.5342357158660889e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 5 3 -1.</_>
-                <_>
-                  7 4 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8394820168614388e-002</threshold>
-            <left_val>5.3487628698348999e-001</left_val>
-            <right_val>-1.6648720204830170e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 3 -1.</_>
-                <_>
-                  8 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.0085170641541481e-002</threshold>
-            <left_val>3.2912710309028625e-001</left_val>
-            <right_val>-2.3674790561199188e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 2 -1.</_>
-                <_>
-                  10 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.8486373424530029e-003</threshold>
-            <left_val>3.1169471144676208e-001</left_val>
-            <right_val>-1.4142170548439026e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  7 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4256549999117851e-002</threshold>
-            <left_val>-1.0750769823789597e-001</left_val>
-            <right_val>4.5222070813179016e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 10 6 -1.</_>
-                <_>
-                  10 6 5 3 2.</_>
-                <_>
-                  5 9 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0950550213456154e-002</threshold>
-            <left_val>-1.9999259710311890e-001</left_val>
-            <right_val>5.3246650844812393e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 8 8 -1.</_>
-                <_>
-                  4 2 4 4 2.</_>
-                <_>
-                  8 6 4 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9642797112464905e-002</threshold>
-            <left_val>-4.6795380115509033e-001</left_val>
-            <right_val>5.3968351334333420e-002</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 2 3 4 -1.</_>
-                <_>
-                  13 3 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.3666269183158875e-002</threshold>
-            <left_val>-2.7843418717384338e-001</left_val>
-            <right_val>1.0408580303192139e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 4 3 -1.</_>
-                <_>
-                  5 3 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.7214139252901077e-002</threshold>
-            <left_val>2.9560580849647522e-001</left_val>
-            <right_val>-9.3614630401134491e-002</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 2 3 -1.</_>
-                <_>
-                  10 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4078790321946144e-002</threshold>
-            <left_val>-4.5739430934190750e-002</left_val>
-            <right_val>3.3025279641151428e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 4 -1.</_>
-                <_>
-                  6 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0570909827947617e-002</threshold>
-            <left_val>3.6789980530738831e-001</left_val>
-            <right_val>-5.9032700955867767e-002</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 3 -1.</_>
-                <_>
-                  12 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2845669873058796e-002</threshold>
-            <left_val>-1.1354859918355942e-001</left_val>
-            <right_val>3.0396461486816406e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 7 4 1 -1.</_>
-                <_>
-                  5 7 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.8591687381267548e-003</threshold>
-            <left_val>7.5328573584556580e-002</left_val>
-            <right_val>-3.4735369682312012e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 7 3 1 -1.</_>
-                <_>
-                  11 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7100565433502197e-003</threshold>
-            <left_val>-2.5546409189701080e-002</left_val>
-            <right_val>3.1419700384140015e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 5 4 3 -1.</_>
-                <_>
-                  3 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4336729198694229e-002</threshold>
-            <left_val>1.5685400366783142e-001</left_val>
-            <right_val>-1.4091870188713074e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 10 -1.</_>
-                <_>
-                  16 7 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0705789327621460e-002</threshold>
-            <left_val>-1.3573260605335236e-001</left_val>
-            <right_val>9.9381998181343079e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 2 3 -1.</_>
-                <_>
-                  6 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.4271190203726292e-003</threshold>
-            <left_val>-8.6527682840824127e-002</left_val>
-            <right_val>2.5319969654083252e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 12 2 -1.</_>
-                <_>
-                  3 6 12 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4646859839558601e-002</threshold>
-            <left_val>-1.3291080296039581e-001</left_val>
-            <right_val>1.4640970528125763e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0743489265441895e-002</threshold>
-            <left_val>1.4069710671901703e-001</left_val>
-            <right_val>-1.3886369764804840e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 3 -1.</_>
-                <_>
-                  9 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7419740632176399e-003</threshold>
-            <left_val>-5.1748061180114746e-001</left_val>
-            <right_val>4.0649030357599258e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 3 -1.</_>
-                <_>
-                  7 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.0930829495191574e-003</threshold>
-            <left_val>-4.0435808897018433e-001</left_val>
-            <right_val>4.6360980719327927e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 4 3 -1.</_>
-                <_>
-                  8 3 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5379290804266930e-002</threshold>
-            <left_val>3.0655589699745178e-001</left_val>
-            <right_val>-3.5374239087104797e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 8 1 -1.</_>
-                <_>
-                  4 3 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.1475291848182678e-002</threshold>
-            <left_val>-3.8354039192199707e-001</left_val>
-            <right_val>4.7201968729496002e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 6 2 -1.</_>
-                <_>
-                  8 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2456119991838932e-002</threshold>
-            <left_val>3.3344469964504242e-002</left_val>
-            <right_val>-4.9855390191078186e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 7 6 3 -1.</_>
-                <_>
-                  6 8 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1596459671854973e-002</threshold>
-            <left_val>-7.4448928236961365e-002</left_val>
-            <right_val>2.3217280209064484e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2071918249130249e-002</threshold>
-            <left_val>-3.6879450082778931e-001</left_val>
-            <right_val>5.1230560988187790e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 1 -1.</_>
-                <_>
-                  6 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7727240920066833e-002</threshold>
-            <left_val>2.6015728712081909e-001</left_val>
-            <right_val>-6.7504949867725372e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 4 2 -1.</_>
-                <_>
-                  12 5 2 1 2.</_>
-                <_>
-                  10 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2539019808173180e-002</threshold>
-            <left_val>2.1004550158977509e-001</left_val>
-            <right_val>-2.3079540580511093e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 3 3 -1.</_>
-                <_>
-                  7 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5370660461485386e-002</threshold>
-            <left_val>-7.7269732952117920e-002</left_val>
-            <right_val>2.3955790698528290e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 10 2 2 -1.</_>
-                <_>
-                  16 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0980560481548309e-003</threshold>
-            <left_val>-4.3999078869819641e-001</left_val>
-            <right_val>1.7386879771947861e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 2 2 -1.</_>
-                <_>
-                  0 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8011109679937363e-003</threshold>
-            <left_val>-4.4160670042037964e-001</left_val>
-            <right_val>3.2729189842939377e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 8 1 4 -1.</_>
-                <_>
-                  17 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5965040074661374e-003</threshold>
-            <left_val>-1.4084090292453766e-001</left_val>
-            <right_val>4.0539931505918503e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 1 4 -1.</_>
-                <_>
-                  0 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9109409768134356e-003</threshold>
-            <left_val>-2.8206449747085571e-001</left_val>
-            <right_val>5.5733498185873032e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 6 2 -1.</_>
-                <_>
-                  15 5 3 1 2.</_>
-                <_>
-                  12 6 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7939320802688599e-002</threshold>
-            <left_val>-1.5600599581375718e-003</left_val>
-            <right_val>-7.8283268213272095e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 6 2 -1.</_>
-                <_>
-                  0 5 3 1 2.</_>
-                <_>
-                  3 6 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.5398529879748821e-003</threshold>
-            <left_val>2.0363679528236389e-001</left_val>
-            <right_val>-7.2035230696201324e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 4 4 -1.</_>
-                <_>
-                  11 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.2799189686775208e-003</threshold>
-            <left_val>5.1637120544910431e-002</left_val>
-            <right_val>-2.6890641450881958e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 2 2 -1.</_>
-                <_>
-                  7 6 1 1 2.</_>
-                <_>
-                  8 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8095400668680668e-003</threshold>
-            <left_val>3.0433818697929382e-001</left_val>
-            <right_val>-4.3821170926094055e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 3 2 3 -1.</_>
-                <_>
-                  16 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6761439666152000e-003</threshold>
-            <left_val>4.3164499104022980e-002</left_val>
-            <right_val>-3.7114360928535461e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 4 2 -1.</_>
-                <_>
-                  3 5 2 1 2.</_>
-                <_>
-                  5 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.2293779812753201e-003</threshold>
-            <left_val>2.7686190605163574e-001</left_val>
-            <right_val>-5.2161470055580139e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 15 4 -1.</_>
-                <_>
-                  3 2 15 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3478921055793762e-002</threshold>
-            <left_val>-7.0697076618671417e-002</left_val>
-            <right_val>1.4227619767189026e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 1 4 3 -1.</_>
-                <_>
-                  8 1 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6060278117656708e-003</threshold>
-            <left_val>3.9228759706020355e-002</left_val>
-            <right_val>-3.4136408567428589e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 6 3 -1.</_>
-                <_>
-                  7 1 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6463410109281540e-002</threshold>
-            <left_val>-7.1609079837799072e-002</left_val>
-            <right_val>1.5261730551719666e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 13 3 -1.</_>
-                <_>
-                  0 1 13 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6798190549015999e-002</threshold>
-            <left_val>2.5057008862495422e-001</left_val>
-            <right_val>-6.0030229389667511e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 3 2 3 -1.</_>
-                <_>
-                  16 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3578269630670547e-002</threshold>
-            <left_val>-5.7186329364776611e-001</left_val>
-            <right_val>2.3683719336986542e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 3 2 -1.</_>
-                <_>
-                  3 3 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.4585109464824200e-003</threshold>
-            <left_val>1.3189469277858734e-001</left_val>
-            <right_val>-1.0400889813899994e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 2 -1.</_>
-                <_>
-                  17 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0323669994249940e-004</threshold>
-            <left_val>8.6108498275279999e-002</left_val>
-            <right_val>-7.8769676387310028e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 1 2 -1.</_>
-                <_>
-                  0 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0363529697060585e-003</threshold>
-            <left_val>-4.4107070565223694e-001</left_val>
-            <right_val>3.1886640936136246e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 12 3 -1.</_>
-                <_>
-                  9 5 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5648690760135651e-002</threshold>
-            <left_val>7.3849938809871674e-002</left_val>
-            <right_val>-9.3154169619083405e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 8 3 -1.</_>
-                <_>
-                  5 10 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7097870633006096e-003</threshold>
-            <left_val>1.6499599814414978e-001</left_val>
-            <right_val>-7.4880279600620270e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 6 2 6 -1.</_>
-                <_>
-                  16 6 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.9235828965902328e-003</threshold>
-            <left_val>1.8079340457916260e-001</left_val>
-            <right_val>-6.5171472728252411e-002</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 3 2 -1.</_>
-                <_>
-                  5 10 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9562699645757675e-003</threshold>
-            <left_val>-5.2876442670822144e-001</left_val>
-            <right_val>2.5368360802531242e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 4 -1.</_>
-                <_>
-                  16 7 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.2617141306400299e-003</threshold>
-            <left_val>-5.0331529229879379e-002</left_val>
-            <right_val>2.9480621218681335e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 2 6 -1.</_>
-                <_>
-                  1 6 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3671088516712189e-002</threshold>
-            <left_val>-1.6121190041303635e-002</left_val>
-            <right_val>6.7309892177581787e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 4 2 -1.</_>
-                <_>
-                  9 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3832988962531090e-003</threshold>
-            <left_val>2.5124080479145050e-002</left_val>
-            <right_val>-4.9571260809898376e-001</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 6 3 -1.</_>
-                <_>
-                  4 3 3 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1697970330715179e-002</threshold>
-            <left_val>4.3101280927658081e-002</left_val>
-            <right_val>-2.4264599382877350e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 2 -1.</_>
-                <_>
-                  16 1 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2845739722251892e-002</threshold>
-            <left_val>-3.6139601469039917e-001</left_val>
-            <right_val>4.5609131455421448e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 2 2 -1.</_>
-                <_>
-                  2 1 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3638010248541832e-002</threshold>
-            <left_val>3.0973179265856743e-002</left_val>
-            <right_val>-3.6637219786643982e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 1 -1.</_>
-                <_>
-                  4 0 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.9795887470245361e-003</threshold>
-            <left_val>-1.0917530208826065e-001</left_val>
-            <right_val>1.0718029737472534e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 16 4 -1.</_>
-                <_>
-                  1 1 16 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.2535842657089233e-002</threshold>
-            <left_val>3.0982971191406250e-001</left_val>
-            <right_val>-3.4692220389842987e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 2 -1.</_>
-                <_>
-                  16 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1674970388412476e-002</threshold>
-            <left_val>3.3513750880956650e-002</left_val>
-            <right_val>-2.6671060919761658e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 7 2 -1.</_>
-                <_>
-                  3 1 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4128520153462887e-002</threshold>
-            <left_val>-7.4317902326583862e-002</left_val>
-            <right_val>1.9508810341358185e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 9 6 3 -1.</_>
-                <_>
-                  11 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2944388687610626e-002</threshold>
-            <left_val>-3.3596301078796387e-001</left_val>
-            <right_val>1.2414090335369110e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 9 6 3 -1.</_>
-                <_>
-                  5 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3753149658441544e-002</threshold>
-            <left_val>4.0032509714365005e-002</left_val>
-            <right_val>-2.6519769430160522e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 3 4 3 -1.</_>
-                <_>
-                  12 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3233430236577988e-002</threshold>
-            <left_val>1.6016100347042084e-001</left_val>
-            <right_val>-2.2260909900069237e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 1 2 -1.</_>
-                <_>
-                  9 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.1078928411006927e-003</threshold>
-            <left_val>-4.8795029520988464e-002</left_val>
-            <right_val>2.0597800612449646e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 2 -1.</_>
-                <_>
-                  16 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0937879793345928e-002</threshold>
-            <left_val>-2.0160789787769318e-001</left_val>
-            <right_val>4.1750270873308182e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 3 -1.</_>
-                <_>
-                  2 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0795599780976772e-002</threshold>
-            <left_val>-2.4597220122814178e-001</left_val>
-            <right_val>4.4583730399608612e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 4 -1.</_>
-                <_>
-                  14 1 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4712370000779629e-002</threshold>
-            <left_val>8.2067541778087616e-002</left_val>
-            <right_val>-4.7636579722166061e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 3 -1.</_>
-                <_>
-                  4 1 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.1026970595121384e-002</threshold>
-            <left_val>3.1423869729042053e-001</left_val>
-            <right_val>-3.3792741596698761e-002</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 3 -1.</_>
-                <_>
-                  6 4 6 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8690350055694580e-002</threshold>
-            <left_val>5.8236971497535706e-002</left_val>
-            <right_val>-2.0244419574737549e-001</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 12 12 -1.</_>
-                <_>
-                  6 0 6 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0032179951667786e-001</threshold>
-            <left_val>-4.5807100832462311e-002</left_val>
-            <right_val>2.7768740057945251e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 4 2 -1.</_>
-                <_>
-                  11 5 2 1 2.</_>
-                <_>
-                  9 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2365980334579945e-005</threshold>
-            <left_val>5.0709828734397888e-002</left_val>
-            <right_val>-7.6038338243961334e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 8 2 3 -1.</_>
-                <_>
-                  8 9 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2146702073514462e-003</threshold>
-            <left_val>2.2490769624710083e-001</left_val>
-            <right_val>-4.9134440720081329e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 3 -1.</_>
-                <_>
-                  16 6 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0706060129450634e-004</threshold>
-            <left_val>6.7870803177356720e-002</left_val>
-            <right_val>-8.7166316807270050e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 2 2 -1.</_>
-                <_>
-                  5 5 1 1 2.</_>
-                <_>
-                  6 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8535310886800289e-003</threshold>
-            <left_val>2.6514551043510437e-001</left_val>
-            <right_val>-3.8151159882545471e-002</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 3 -1.</_>
-                <_>
-                  16 6 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.6675869747996330e-003</threshold>
-            <left_val>-1.8696850538253784e-001</left_val>
-            <right_val>3.4325890243053436e-002</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 3 -1.</_>
-                <_>
-                  6 5 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.2776339948177338e-003</threshold>
-            <left_val>9.9364303052425385e-002</left_val>
-            <right_val>-9.7539342939853668e-002</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 6 7 -1.</_>
-                <_>
-                  6 5 3 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.5002653300762177e-002</threshold>
-            <left_val>-4.4809039682149887e-002</left_val>
-            <right_val>2.5511339306831360e-001</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 7 12 2 -1.</_>
-                <_>
-                  4 7 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2640319541096687e-002</threshold>
-            <left_val>3.7417881190776825e-002</left_val>
-            <right_val>-2.6542389392852783e-001</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 3 -1.</_>
-                <_>
-                  10 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4759110286831856e-002</threshold>
-            <left_val>-1.4441870152950287e-001</left_val>
-            <right_val>2.6218270882964134e-002</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  7 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9840638898313046e-003</threshold>
-            <left_val>1.9986990094184875e-001</left_val>
-            <right_val>-5.5323310196399689e-002</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 3 5 -1.</_>
-                <_>
-                  12 3 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2002780102193356e-002</threshold>
-            <left_val>2.7846589684486389e-001</left_val>
-            <right_val>-3.5339098423719406e-002</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 12 8 -1.</_>
-                <_>
-                  4 4 4 8 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9566120207309723e-001</threshold>
-            <left_val>-3.2644128799438477e-001</left_val>
-            <right_val>3.1533479690551758e-002</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 2 3 6 -1.</_>
-                <_>
-                  12 2 1 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8940979391336441e-002</threshold>
-            <left_val>-2.4071710184216499e-002</left_val>
-            <right_val>2.0041519403457642e-001</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 3 6 -1.</_>
-                <_>
-                  5 2 1 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.9572459829505533e-005</threshold>
-            <left_val>1.0405100136995316e-001</left_val>
-            <right_val>-1.0776259750127792e-001</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 4 1 -1.</_>
-                <_>
-                  14 5 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3607240766286850e-003</threshold>
-            <left_val>9.9615901708602905e-002</left_val>
-            <right_val>-8.3951607346534729e-002</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 3 1 -1.</_>
-                <_>
-                  7 10 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.8188247648067772e-005</threshold>
-            <left_val>1.0282000154256821e-001</left_val>
-            <right_val>-9.2874817550182343e-002</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 4 3 -1.</_>
-                <_>
-                  10 2 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1810559779405594e-002</threshold>
-            <left_val>-2.9324960708618164e-001</left_val>
-            <right_val>3.6554131656885147e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 2 3 -1.</_>
-                <_>
-                  8 3 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.8092541769146919e-003</threshold>
-            <left_val>1.9611120223999023e-001</left_val>
-            <right_val>-5.6822441518306732e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 4 1 -1.</_>
-                <_>
-                  14 5 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.2623611390590668e-002</threshold>
-            <left_val>-9.4473883509635925e-003</left_val>
-            <right_val>5.0844651460647583e-001</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 1 4 -1.</_>
-                <_>
-                  4 5 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.2930259369313717e-003</threshold>
-            <left_val>9.2036433517932892e-002</left_val>
-            <right_val>-1.1842270195484161e-001</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  0 3 18 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.6469340324401855e-001</threshold>
-            <left_val>-3.9508619904518127e-001</left_val>
-            <right_val>2.5425970554351807e-002</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 1 3 -1.</_>
-                <_>
-                  5 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0441480204463005e-002</threshold>
-            <left_val>2.7400210499763489e-002</left_val>
-            <right_val>-3.3969599008560181e-001</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 6 2 -1.</_>
-                <_>
-                  10 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1257670596241951e-002</threshold>
-            <left_val>1.0770229622721672e-002</left_val>
-            <right_val>-5.4437619447708130e-001</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 1 -1.</_>
-                <_>
-                  4 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.5998326539993286e-005</threshold>
-            <left_val>-8.6119651794433594e-002</left_val>
-            <right_val>1.0474950075149536e-001</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 2 -1.</_>
-                <_>
-                  16 1 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1877079668920487e-004</threshold>
-            <left_val>1.3329850137233734e-001</left_val>
-            <right_val>-2.2571019828319550e-001</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 3 3 -1.</_>
-                <_>
-                  8 5 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2582539580762386e-002</threshold>
-            <left_val>1.0203540325164795e-001</left_val>
-            <right_val>-9.2602252960205078e-002</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 2 1 -1.</_>
-                <_>
-                  8 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.5820167441852391e-005</threshold>
-            <left_val>-1.1563900113105774e-001</left_val>
-            <right_val>8.9998990297317505e-002</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 4 3 -1.</_>
-                <_>
-                  6 2 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.5666181296110153e-003</threshold>
-            <left_val>3.7725161761045456e-002</left_val>
-            <right_val>-2.4878449738025665e-001</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 11 4 1 -1.</_>
-                <_>
-                  10 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7672890834510326e-003</threshold>
-            <left_val>-5.6385320425033569e-001</left_val>
-            <right_val>1.1175219900906086e-002</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 6 10 -1.</_>
-                <_>
-                  3 0 2 10 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7847689818590879e-003</threshold>
-            <left_val>6.8087071180343628e-002</left_val>
-            <right_val>-1.2581770122051239e-001</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 6 9 -1.</_>
-                <_>
-                  14 6 2 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5486249476671219e-002</threshold>
-            <left_val>5.7677350938320160e-002</left_val>
-            <right_val>-9.9549897015094757e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 6 9 -1.</_>
-                <_>
-                  2 6 2 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.5713947415351868e-002</threshold>
-            <left_val>-3.6518439650535583e-002</left_val>
-            <right_val>2.8699418902397156e-001</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 1 2 4 -1.</_>
-                <_>
-                  13 2 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.0637598186731339e-003</threshold>
-            <left_val>-7.7375017106533051e-002</left_val>
-            <right_val>4.0799569338560104e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 14 4 -1.</_>
-                <_>
-                  0 4 7 2 2.</_>
-                <_>
-                  7 6 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0294229723513126e-002</threshold>
-            <left_val>-1.1247719824314117e-001</left_val>
-            <right_val>8.7451197206974030e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 2 -1.</_>
-                <_>
-                  10 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.5298741683363914e-003</threshold>
-            <left_val>7.0183053612709045e-002</left_val>
-            <right_val>-8.9181199669837952e-002</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 8 10 -1.</_>
-                <_>
-                  2 1 4 10 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.5547690987586975e-002</threshold>
-            <left_val>-2.7765339612960815e-001</left_val>
-            <right_val>3.4830510616302490e-002</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 3 -1.</_>
-                <_>
-                  16 5 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1343659833073616e-002</threshold>
-            <left_val>-3.5542330145835876e-001</left_val>
-            <right_val>2.3554539307951927e-002</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 2 2 -1.</_>
-                <_>
-                  1 1 1 1 2.</_>
-                <_>
-                  2 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0126819688593969e-004</threshold>
-            <left_val>9.1516196727752686e-002</left_val>
-            <right_val>-9.3038432300090790e-002</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 3 -1.</_>
-                <_>
-                  15 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8029360100626945e-002</threshold>
-            <left_val>1.9349269568920135e-001</left_val>
-            <right_val>-2.5129379704594612e-002</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 3 2 -1.</_>
-                <_>
-                  3 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7232729122042656e-002</threshold>
-            <left_val>2.7890768647193909e-001</left_val>
-            <right_val>-3.8710448890924454e-002</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 4 -1.</_>
-                <_>
-                  16 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1195029946975410e-004</threshold>
-            <left_val>5.0033789128065109e-002</left_val>
-            <right_val>-8.3999648690223694e-002</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 4 -1.</_>
-                <_>
-                  0 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.9721581637859344e-003</threshold>
-            <left_val>3.3347249031066895e-002</left_val>
-            <right_val>-2.6903629302978516e-001</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 6 2 -1.</_>
-                <_>
-                  10 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3551829508505762e-004</threshold>
-            <left_val>6.8747326731681824e-002</left_val>
-            <right_val>-9.7762331366539001e-002</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  6 10 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1608728468418121e-002</threshold>
-            <left_val>-4.2120318859815598e-002</left_val>
-            <right_val>2.1496939659118652e-001</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 3 1 -1.</_>
-                <_>
-                  9 10 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4065970685333014e-003</threshold>
-            <left_val>-2.2874389588832855e-001</left_val>
-            <right_val>1.5017420053482056e-002</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 2 1 -1.</_>
-                <_>
-                  8 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0731370275607333e-004</threshold>
-            <left_val>8.7367862462997437e-002</left_val>
-            <right_val>-9.8653607070446014e-002</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 2 1 -1.</_>
-                <_>
-                  9 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6097549784462899e-005</threshold>
-            <left_val>9.9156707525253296e-002</left_val>
-            <right_val>-7.0301808416843414e-002</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 2 1 -1.</_>
-                <_>
-                  8 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.1741916548926383e-005</threshold>
-            <left_val>-7.4249409139156342e-002</left_val>
-            <right_val>1.2826450169086456e-001</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 1 -1.</_>
-                <_>
-                  8 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1397949856473133e-004</threshold>
-            <left_val>-9.6481591463088989e-002</left_val>
-            <right_val>9.6139311790466309e-002</right_val></_></_>
-        <_>
-          <!-- tree 120 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 10 4 -1.</_>
-                <_>
-                  3 8 5 2 2.</_>
-                <_>
-                  8 10 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6666661053895950e-002</threshold>
-            <left_val>1.8062859773635864e-002</left_val>
-            <right_val>-5.1227068901062012e-001</right_val></_></_>
-        <_>
-          <!-- tree 121 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 3 -1.</_>
-                <_>
-                  12 7 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8091689795255661e-002</threshold>
-            <left_val>1.6024060547351837e-001</left_val>
-            <right_val>-1.6382170841097832e-002</right_val></_></_>
-        <_>
-          <!-- tree 122 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 3 3 -1.</_>
-                <_>
-                  6 7 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.2913880199193954e-002</threshold>
-            <left_val>-1.9014870747923851e-002</left_val>
-            <right_val>4.5053559541702271e-001</right_val></_></_>
-        <_>
-          <!-- tree 123 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 6 2 -1.</_>
-                <_>
-                  10 9 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5276740305125713e-002</threshold>
-            <left_val>-2.7582061290740967e-001</left_val>
-            <right_val>2.9354600235819817e-002</right_val></_></_>
-        <_>
-          <!-- tree 124 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 6 1 -1.</_>
-                <_>
-                  8 9 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.3131810426712036e-003</threshold>
-            <left_val>-2.5190541148185730e-001</left_val>
-            <right_val>3.3755309879779816e-002</right_val></_></_>
-        <_>
-          <!-- tree 125 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 4 4 -1.</_>
-                <_>
-                  10 5 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0541479587554932e-002</threshold>
-            <left_val>-3.3350829035043716e-002</left_val>
-            <right_val>1.2646000087261200e-001</right_val></_></_>
-        <_>
-          <!-- tree 126 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 8 -1.</_>
-                <_>
-                  6 4 6 8 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9827249646186829e-001</threshold>
-            <left_val>7.0513941347599030e-002</left_val>
-            <right_val>-1.3399259746074677e-001</right_val></_></_>
-        <_>
-          <!-- tree 127 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 6 5 -1.</_>
-                <_>
-                  14 5 2 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1315490826964378e-002</threshold>
-            <left_val>1.2407120317220688e-001</left_val>
-            <right_val>-9.3437470495700836e-002</right_val></_></_>
-        <_>
-          <!-- tree 128 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 4 2 -1.</_>
-                <_>
-                  5 5 2 1 2.</_>
-                <_>
-                  7 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5536180734634399e-003</threshold>
-            <left_val>1.6640309989452362e-001</left_val>
-            <right_val>-5.1540210843086243e-002</right_val></_></_>
-        <_>
-          <!-- tree 129 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 6 3 -1.</_>
-                <_>
-                  8 7 2 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9454020783305168e-002</threshold>
-            <left_val>-4.1273329406976700e-002</left_val>
-            <right_val>2.5026160478591919e-001</right_val></_></_>
-        <_>
-          <!-- tree 130 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 2 -1.</_>
-                <_>
-                  0 8 1 1 2.</_>
-                <_>
-                  1 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0502000077394769e-004</threshold>
-            <left_val>-1.0847820341587067e-001</left_val>
-            <right_val>8.3983741700649261e-002</right_val></_></_>
-        <_>
-          <!-- tree 131 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 2 -1.</_>
-                <_>
-                  17 8 1 1 2.</_>
-                <_>
-                  16 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0733069939306006e-004</threshold>
-            <left_val>8.3531558513641357e-002</left_val>
-            <right_val>-5.6373700499534607e-002</right_val></_></_>
-        <_>
-          <!-- tree 132 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 2 -1.</_>
-                <_>
-                  0 8 1 1 2.</_>
-                <_>
-                  1 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6264020056696609e-005</threshold>
-            <left_val>1.3745079934597015e-001</left_val>
-            <right_val>-6.8600043654441833e-002</right_val></_></_>
-        <_>
-          <!-- tree 133 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 3 2 -1.</_>
-                <_>
-                  13 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5310499817132950e-002</threshold>
-            <left_val>-1.9469089806079865e-001</left_val>
-            <right_val>2.8970900923013687e-002</right_val></_></_>
-        <_>
-          <!-- tree 134 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3486049622297287e-002</threshold>
-            <left_val>-6.2618911266326904e-001</left_val>
-            <right_val>1.2297869659960270e-002</right_val></_></_>
-        <_>
-          <!-- tree 135 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 10 6 -1.</_>
-                <_>
-                  11 6 5 3 2.</_>
-                <_>
-                  6 9 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1582080274820328e-001</threshold>
-            <left_val>-4.2694661021232605e-001</left_val>
-            <right_val>1.9071470014750957e-003</right_val></_></_>
-        <_>
-          <!-- tree 136 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 4 4 -1.</_>
-                <_>
-                  4 5 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2180320471525192e-002</threshold>
-            <left_val>-3.6031588912010193e-002</left_val>
-            <right_val>2.1900460124015808e-001</right_val></_></_>
-        <_>
-          <!-- tree 137 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 2 2 -1.</_>
-                <_>
-                  12 3 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.9619124084711075e-003</threshold>
-            <left_val>-2.2418439388275146e-002</left_val>
-            <right_val>8.1508889794349670e-002</right_val></_></_>
-        <_>
-          <!-- tree 138 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 2 3 -1.</_>
-                <_>
-                  5 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3083880543708801e-002</threshold>
-            <left_val>-4.9076971411705017e-001</left_val>
-            <right_val>1.7307329922914505e-002</right_val></_></_>
-        <_>
-          <!-- tree 139 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 1 -1.</_>
-                <_>
-                  16 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1683529737638310e-004</threshold>
-            <left_val>1.0331380367279053e-001</left_val>
-            <right_val>-2.0561179518699646e-001</right_val></_></_>
-        <_>
-          <!-- tree 140 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 16 2 -1.</_>
-                <_>
-                  1 0 8 1 2.</_>
-                <_>
-                  9 1 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.8267622739076614e-003</threshold>
-            <left_val>-6.6107340157032013e-002</left_val>
-            <right_val>1.5025080740451813e-001</right_val></_></_>
-        <_>
-          <!-- tree 141 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 1 -1.</_>
-                <_>
-                  16 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.3460809178650379e-003</threshold>
-            <left_val>-3.0913439393043518e-001</left_val>
-            <right_val>1.4155699871480465e-002</right_val></_></_>
-        <_>
-          <!-- tree 142 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 1 -1.</_>
-                <_>
-                  1 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0096169319003820e-003</threshold>
-            <left_val>-4.6867091208696365e-002</left_val>
-            <right_val>2.0841519534587860e-001</right_val></_></_>
-        <_>
-          <!-- tree 143 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 2 1 -1.</_>
-                <_>
-                  12 4 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3369109034538269e-002</threshold>
-            <left_val>4.1900089383125305e-001</left_val>
-            <right_val>-3.8494879845529795e-003</right_val></_></_>
-        <_>
-          <!-- tree 144 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 1 2 -1.</_>
-                <_>
-                  6 4 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.6893829926848412e-003</threshold>
-            <left_val>-1.3875140249729156e-001</left_val>
-            <right_val>6.3448376953601837e-002</right_val></_></_></trees>
-      <stage_threshold>-1.5681409835815430e+000</stage_threshold>
-      <parent>17</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 19 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 2 3 -1.</_>
-                <_>
-                  6 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.3631179481744766e-002</threshold>
-            <left_val>-2.7505779266357422e-001</left_val>
-            <right_val>7.1009528636932373e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 9 9 -1.</_>
-                <_>
-                  8 4 9 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2867219746112823e-001</threshold>
-            <left_val>1.1402829736471176e-001</left_val>
-            <right_val>-2.5071978569030762e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 9 1 -1.</_>
-                <_>
-                  8 4 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.8553440272808075e-001</threshold>
-            <left_val>-7.1051809936761856e-004</left_val>
-            <right_val>-2.0411979980468750e+003</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 4 2 -1.</_>
-                <_>
-                  10 5 2 1 2.</_>
-                <_>
-                  8 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0022269561886787e-002</threshold>
-            <left_val>3.6850100755691528e-001</left_val>
-            <right_val>-1.1276180297136307e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 4 4 -1.</_>
-                <_>
-                  6 3 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.8808779567480087e-002</threshold>
-            <left_val>3.3759531378746033e-001</left_val>
-            <right_val>-2.0759710669517517e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 3 2 -1.</_>
-                <_>
-                  13 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.6742409914731979e-002</threshold>
-            <left_val>-1.8537110090255737e-001</left_val>
-            <right_val>2.4919350445270538e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 2 3 -1.</_>
-                <_>
-                  5 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0245149955153465e-002</threshold>
-            <left_val>2.5566178560256958e-001</left_val>
-            <right_val>-1.6401439905166626e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 10 -1.</_>
-                <_>
-                  15 7 3 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8364270925521851e-002</threshold>
-            <left_val>-1.3210600614547729e-001</left_val>
-            <right_val>1.0085999965667725e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 5 3 -1.</_>
-                <_>
-                  8 3 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9492400810122490e-002</threshold>
-            <left_val>1.1866439878940582e-001</left_val>
-            <right_val>-2.2919100522994995e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 10 -1.</_>
-                <_>
-                  16 7 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.5401881933212280e-002</threshold>
-            <left_val>3.9086669683456421e-002</left_val>
-            <right_val>-4.4828139245510101e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 10 -1.</_>
-                <_>
-                  0 7 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.7863655537366867e-003</threshold>
-            <left_val>-2.8531849384307861e-001</left_val>
-            <right_val>9.7677417099475861e-002</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 16 9 -1.</_>
-                <_>
-                  5 0 8 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3927909582853317e-002</threshold>
-            <left_val>9.3449726700782776e-002</left_val>
-            <right_val>-2.7780878543853760e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 1 2 -1.</_>
-                <_>
-                  9 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.8246569931507111e-003</threshold>
-            <left_val>2.2555319964885712e-001</left_val>
-            <right_val>-1.0125789791345596e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 8 2 -1.</_>
-                <_>
-                  5 5 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5018019825220108e-002</threshold>
-            <left_val>-8.2751229405403137e-002</left_val>
-            <right_val>2.6553609967231750e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 6 2 -1.</_>
-                <_>
-                  2 4 3 1 2.</_>
-                <_>
-                  5 5 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.9249351769685745e-003</threshold>
-            <left_val>2.6004979014396667e-001</left_val>
-            <right_val>-9.1353721916675568e-002</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 6 -1.</_>
-                <_>
-                  16 4 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5024420619010925e-003</threshold>
-            <left_val>9.9367111921310425e-002</left_val>
-            <right_val>-7.1672402322292328e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 6 -1.</_>
-                <_>
-                  1 4 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4381379373371601e-003</threshold>
-            <left_val>1.2497270107269287e-001</left_val>
-            <right_val>-1.8109659850597382e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 4 1 -1.</_>
-                <_>
-                  11 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.3433339819312096e-003</threshold>
-            <left_val>3.7100249528884888e-001</left_val>
-            <right_val>-5.0013199448585510e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4360060691833496e-002</threshold>
-            <left_val>-3.6683601140975952e-001</left_val>
-            <right_val>5.0595879554748535e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 4 -1.</_>
-                <_>
-                  10 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.0591458827257156e-003</threshold>
-            <left_val>3.8355801254510880e-002</left_val>
-            <right_val>-3.9722838997840881e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 2 -1.</_>
-                <_>
-                  6 6 1 1 2.</_>
-                <_>
-                  7 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.4672801159322262e-003</threshold>
-            <left_val>2.8062960505485535e-001</left_val>
-            <right_val>-5.8162041008472443e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 2 -1.</_>
-                <_>
-                  12 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.4330900758504868e-002</threshold>
-            <left_val>-3.9409149438142776e-002</left_val>
-            <right_val>2.3248769342899323e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 2 3 -1.</_>
-                <_>
-                  6 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.3590178936719894e-002</threshold>
-            <left_val>5.8214940130710602e-002</left_val>
-            <right_val>-3.7649789452552795e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 3 2 -1.</_>
-                <_>
-                  10 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.8359300941228867e-002</threshold>
-            <left_val>-3.1998670101165771e-001</left_val>
-            <right_val>3.7257380783557892e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 2 3 -1.</_>
-                <_>
-                  8 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6094490885734558e-002</threshold>
-            <left_val>1.6750979423522949e-001</left_val>
-            <right_val>-1.1763060092926025e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 8 3 3 -1.</_>
-                <_>
-                  15 9 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2275910004973412e-002</threshold>
-            <left_val>1.5325929969549179e-002</left_val>
-            <right_val>-2.7663159370422363e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 3 3 -1.</_>
-                <_>
-                  0 9 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.4588464125990868e-003</threshold>
-            <left_val>4.2470309883356094e-002</left_val>
-            <right_val>-3.5148349404335022e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 2 2 -1.</_>
-                <_>
-                  12 6 1 1 2.</_>
-                <_>
-                  11 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2011879161000252e-003</threshold>
-            <left_val>-4.8598669469356537e-002</left_val>
-            <right_val>2.2258450090885162e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 6 5 -1.</_>
-                <_>
-                  5 0 2 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6433428525924683e-002</threshold>
-            <left_val>-4.5761460065841675e-001</left_val>
-            <right_val>2.9529940336942673e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 2 2 -1.</_>
-                <_>
-                  12 6 1 1 2.</_>
-                <_>
-                  11 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7194520700722933e-003</threshold>
-            <left_val>2.8547590970993042e-001</left_val>
-            <right_val>-3.9135500788688660e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 2 2 -1.</_>
-                <_>
-                  5 6 1 1 2.</_>
-                <_>
-                  6 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4795390199869871e-003</threshold>
-            <left_val>2.2883270680904388e-001</left_val>
-            <right_val>-6.0576260089874268e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 6 1 3 -1.</_>
-                <_>
-                  17 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.4941270500421524e-003</threshold>
-            <left_val>-3.0932080745697021e-001</left_val>
-            <right_val>2.9831670224666595e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 1 2 -1.</_>
-                <_>
-                  4 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.2734388262033463e-003</threshold>
-            <left_val>-5.9098191559314728e-002</left_val>
-            <right_val>2.2960080206394196e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 6 1 3 -1.</_>
-                <_>
-                  17 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8899749740958214e-003</threshold>
-            <left_val>3.2622959464788437e-002</left_val>
-            <right_val>-2.0528559386730194e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 3 10 2 -1.</_>
-                <_>
-                  1 3 5 1 2.</_>
-                <_>
-                  6 4 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1825909614562988e-002</threshold>
-            <left_val>1.9279049336910248e-001</left_val>
-            <right_val>-7.3136076331138611e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 2 -1.</_>
-                <_>
-                  9 4 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3574689626693726e-002</threshold>
-            <left_val>-1.6170579940080643e-002</left_val>
-            <right_val>2.6534038782119751e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 1 3 -1.</_>
-                <_>
-                  0 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.0199640206992626e-003</threshold>
-            <left_val>3.2929629087448120e-002</left_val>
-            <right_val>-4.1653159260749817e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 4 -1.</_>
-                <_>
-                  16 1 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.7281829863786697e-002</threshold>
-            <left_val>-2.7529978752136230e-001</left_val>
-            <right_val>2.0595779642462730e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 16 1 -1.</_>
-                <_>
-                  4 1 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8378039598464966e-002</threshold>
-            <left_val>-5.6658681482076645e-002</left_val>
-            <right_val>2.2680400311946869e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 4 -1.</_>
-                <_>
-                  7 1 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8549919128417969e-002</threshold>
-            <left_val>2.8250589966773987e-001</left_val>
-            <right_val>-5.3727861493825912e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 3 -1.</_>
-                <_>
-                  4 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.8881962001323700e-003</threshold>
-            <left_val>4.3956100940704346e-002</left_val>
-            <right_val>-3.6961129307746887e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 4 2 -1.</_>
-                <_>
-                  9 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.3639208674430847e-003</threshold>
-            <left_val>-3.8934838771820068e-001</left_val>
-            <right_val>1.6238860785961151e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 8 6 -1.</_>
-                <_>
-                  5 4 4 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3416770622134209e-002</threshold>
-            <left_val>-1.8020549416542053e-001</left_val>
-            <right_val>6.5479606389999390e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 1 -1.</_>
-                <_>
-                  11 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0741058979183435e-003</threshold>
-            <left_val>1.5390050411224365e-001</left_val>
-            <right_val>-8.0369636416435242e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 12 8 -1.</_>
-                <_>
-                  5 4 6 8 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9896711707115173e-002</threshold>
-            <left_val>8.4819942712783813e-002</left_val>
-            <right_val>-1.8152259290218353e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 14 9 -1.</_>
-                <_>
-                  4 2 7 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.8487498760223389e-001</threshold>
-            <left_val>-5.4407620429992676e-001</left_val>
-            <right_val>-2.0537020172923803e-003</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 3 12 9 -1.</_>
-                <_>
-                  8 3 6 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8590870499610901e-001</threshold>
-            <left_val>-3.4733101725578308e-002</left_val>
-            <right_val>3.7966889142990112e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 12 3 -1.</_>
-                <_>
-                  3 1 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4944491237401962e-002</threshold>
-            <left_val>-1.0628589987754822e-001</left_val>
-            <right_val>1.2806500494480133e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 3 3 -1.</_>
-                <_>
-                  6 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2796489298343658e-002</threshold>
-            <left_val>3.6542838811874390e-001</left_val>
-            <right_val>-4.0509790182113647e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 6 2 -1.</_>
-                <_>
-                  10 1 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6358839124441147e-002</threshold>
-            <left_val>-5.2112942934036255e-001</left_val>
-            <right_val>3.0187880620360374e-002</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 1 -1.</_>
-                <_>
-                  6 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3396210744976997e-003</threshold>
-            <left_val>1.8814109265804291e-001</left_val>
-            <right_val>-7.4049197137355804e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 8 1 4 -1.</_>
-                <_>
-                  15 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2243230594322085e-004</threshold>
-            <left_val>5.7484649121761322e-002</left_val>
-            <right_val>-3.9915520697832108e-002</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 1 4 -1.</_>
-                <_>
-                  2 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1718519817804918e-004</threshold>
-            <left_val>-1.4954920113086700e-001</left_val>
-            <right_val>8.1642888486385345e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 10 1 2 -1.</_>
-                <_>
-                  15 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4519607909023762e-003</threshold>
-            <left_val>1.6601830720901489e-002</left_val>
-            <right_val>-1.5385159850120544e-001</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 10 1 2 -1.</_>
-                <_>
-                  2 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0932450095424429e-004</threshold>
-            <left_val>-1.7002880573272705e-001</left_val>
-            <right_val>8.5956446826457977e-002</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 6 -1.</_>
-                <_>
-                  8 4 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.5179023444652557e-002</threshold>
-            <left_val>8.5408963263034821e-002</left_val>
-            <right_val>-1.3447010517120361e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  6 0 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0164520740509033e-002</threshold>
-            <left_val>1.8779170513153076e-001</left_val>
-            <right_val>-6.7191623151302338e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  8 0 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1386420130729675e-002</threshold>
-            <left_val>-6.1028450727462769e-001</left_val>
-            <right_val>1.9187970086932182e-002</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 2 2 -1.</_>
-                <_>
-                  2 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9179229857400060e-003</threshold>
-            <left_val>-5.8911509811878204e-002</left_val>
-            <right_val>2.1525830030441284e-001</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 6 2 -1.</_>
-                <_>
-                  11 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4344459176063538e-002</threshold>
-            <left_val>1.1284279637038708e-002</left_val>
-            <right_val>-3.6955431103706360e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 5 2 -1.</_>
-                <_>
-                  6 10 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.3110237717628479e-003</threshold>
-            <left_val>3.1973779201507568e-001</left_val>
-            <right_val>-3.3365249633789063e-002</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 10 6 2 -1.</_>
-                <_>
-                  11 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2101389244198799e-002</threshold>
-            <left_val>-2.7678531408309937e-001</left_val>
-            <right_val>1.2874299660325050e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 6 2 -1.</_>
-                <_>
-                  5 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0385779440402985e-002</threshold>
-            <left_val>-5.1266109943389893e-001</left_val>
-            <right_val>2.0121119916439056e-002</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 1 9 -1.</_>
-                <_>
-                  13 4 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1750890314579010e-001</threshold>
-            <left_val>-1.9588080048561096e-001</left_val>
-            <right_val>2.0088920369744301e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 1 3 -1.</_>
-                <_>
-                  5 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2457219883799553e-002</threshold>
-            <left_val>-3.6020371317863464e-001</left_val>
-            <right_val>2.8396470472216606e-002</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 2 3 -1.</_>
-                <_>
-                  9 2 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5784770995378494e-003</threshold>
-            <left_val>1.8908539414405823e-001</left_val>
-            <right_val>-4.3369468301534653e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 4 -1.</_>
-                <_>
-                  0 2 9 2 2.</_>
-                <_>
-                  9 4 9 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3688610494136810e-001</threshold>
-            <left_val>1.9999820739030838e-002</left_val>
-            <right_val>-5.4874652624130249e-001</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 3 3 4 -1.</_>
-                <_>
-                  15 4 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8810320422053337e-002</threshold>
-            <left_val>-5.5651491880416870e-001</left_val>
-            <right_val>1.0983499698340893e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 3 4 -1.</_>
-                <_>
-                  0 4 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5747509896755219e-002</threshold>
-            <left_val>2.4598199874162674e-002</left_val>
-            <right_val>-4.0236338973045349e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 2 2 -1.</_>
-                <_>
-                  11 4 1 1 2.</_>
-                <_>
-                  10 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.6313503086566925e-005</threshold>
-            <left_val>5.5196251720190048e-002</left_val>
-            <right_val>-8.7640739977359772e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 3 4 -1.</_>
-                <_>
-                  5 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6491168215870857e-003</threshold>
-            <left_val>1.4749449491500854e-001</left_val>
-            <right_val>-6.3069596886634827e-002</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 1 9 -1.</_>
-                <_>
-                  13 4 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7864599823951721e-001</threshold>
-            <left_val>-7.5675052404403687e-001</left_val>
-            <right_val>3.4561890643090010e-003</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 9 1 -1.</_>
-                <_>
-                  5 4 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1177310347557068e-001</threshold>
-            <left_val>-3.3842530846595764e-001</left_val>
-            <right_val>2.9908629134297371e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 6 4 -1.</_>
-                <_>
-                  15 1 3 2 2.</_>
-                <_>
-                  12 3 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7611680552363396e-002</threshold>
-            <left_val>-2.5893269106745720e-002</left_val>
-            <right_val>1.0236769914627075e-001</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 14 4 -1.</_>
-                <_>
-                  1 1 14 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.5229709222912788e-002</threshold>
-            <left_val>-1.0067760199308395e-001</left_val>
-            <right_val>1.1171419918537140e-001</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 4 9 -1.</_>
-                <_>
-                  13 0 2 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.2196209803223610e-003</threshold>
-            <left_val>1.3222789764404297e-001</left_val>
-            <right_val>-1.1153940111398697e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 3 2 -1.</_>
-                <_>
-                  0 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0246332325041294e-003</threshold>
-            <left_val>-6.2780529260635376e-001</left_val>
-            <right_val>1.3513820245862007e-002</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 12 4 -1.</_>
-                <_>
-                  6 4 6 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8054771274328232e-002</threshold>
-            <left_val>1.9251599907875061e-002</left_val>
-            <right_val>-4.7624149918556213e-001</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  7 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0157009586691856e-002</threshold>
-            <left_val>1.8371550738811493e-001</left_val>
-            <right_val>-5.8640699833631516e-002</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 4 9 -1.</_>
-                <_>
-                  13 0 2 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5374549925327301e-002</threshold>
-            <left_val>-4.7950971126556396e-001</left_val>
-            <right_val>1.7445040866732597e-002</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 4 9 -1.</_>
-                <_>
-                  3 0 2 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0695769742596895e-004</threshold>
-            <left_val>6.9972157478332520e-002</left_val>
-            <right_val>-1.4726209640502930e-001</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 2 -1.</_>
-                <_>
-                  16 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.7402779608964920e-003</threshold>
-            <left_val>-1.8943889439105988e-001</left_val>
-            <right_val>4.4850360602140427e-002</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 3 -1.</_>
-                <_>
-                  2 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.4455690048635006e-002</threshold>
-            <left_val>2.9286550357937813e-002</left_val>
-            <right_val>-3.3406850695610046e-001</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 4 5 -1.</_>
-                <_>
-                  11 3 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1007389985024929e-002</threshold>
-            <left_val>1.6767920553684235e-001</left_val>
-            <right_val>-4.5263808220624924e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 3 2 -1.</_>
-                <_>
-                  4 10 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.1059811636805534e-003</threshold>
-            <left_val>-5.3664588928222656e-001</left_val>
-            <right_val>1.8926989287137985e-002</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 11 16 1 -1.</_>
-                <_>
-                  5 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.3566756695508957e-003</threshold>
-            <left_val>-5.6550279259681702e-002</left_val>
-            <right_val>1.6391740739345551e-001</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 16 2 -1.</_>
-                <_>
-                  5 10 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1989709921181202e-002</threshold>
-            <left_val>9.8681986331939697e-002</left_val>
-            <right_val>-9.3427039682865143e-002</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 3 3 -1.</_>
-                <_>
-                  14 2 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8332680687308311e-002</threshold>
-            <left_val>1.5537080168724060e-001</left_val>
-            <right_val>-4.7529440373182297e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 3 3 -1.</_>
-                <_>
-                  4 2 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.2228980436921120e-002</threshold>
-            <left_val>-5.3477160632610321e-002</left_val>
-            <right_val>1.7177890241146088e-001</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 2 2 -1.</_>
-                <_>
-                  9 2 1 1 2.</_>
-                <_>
-                  8 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.7822019597515464e-005</threshold>
-            <left_val>-8.8446229696273804e-002</left_val>
-            <right_val>1.0630639642477036e-001</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 2 2 -1.</_>
-                <_>
-                  8 2 1 1 2.</_>
-                <_>
-                  9 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.5454830443486571e-005</threshold>
-            <left_val>-8.7844558060169220e-002</left_val>
-            <right_val>1.0228630155324936e-001</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 4 2 -1.</_>
-                <_>
-                  9 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.2959644496440887e-003</threshold>
-            <left_val>7.7602830715477467e-003</left_val>
-            <right_val>-5.8247411251068115e-001</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 8 2 1 -1.</_>
-                <_>
-                  1 8 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.2757556810975075e-005</threshold>
-            <left_val>6.4984649419784546e-002</left_val>
-            <right_val>-1.3101190328598022e-001</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 16 6 -1.</_>
-                <_>
-                  10 6 8 3 2.</_>
-                <_>
-                  2 9 8 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9920749962329865e-001</threshold>
-            <left_val>1.6709130257368088e-002</left_val>
-            <right_val>-3.1872358918190002e-001</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 4 4 -1.</_>
-                <_>
-                  2 6 2 2 2.</_>
-                <_>
-                  4 8 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3613670133054256e-002</threshold>
-            <left_val>-6.2816083431243896e-002</left_val>
-            <right_val>1.7845809459686279e-001</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 4 10 -1.</_>
-                <_>
-                  14 0 2 10 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4157780464738607e-003</threshold>
-            <left_val>6.6462337970733643e-002</left_val>
-            <right_val>-8.9528001844882965e-002</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 4 10 -1.</_>
-                <_>
-                  2 0 2 10 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7696220725774765e-003</threshold>
-            <left_val>5.9173680841922760e-002</left_val>
-            <right_val>-1.9932749867439270e-001</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 2 -1.</_>
-                <_>
-                  10 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2113050110638142e-003</threshold>
-            <left_val>8.9376598596572876e-002</left_val>
-            <right_val>-8.6342461407184601e-002</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 2 -1.</_>
-                <_>
-                  7 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.0520251281559467e-003</threshold>
-            <left_val>1.8127410113811493e-001</left_val>
-            <right_val>-4.9871731549501419e-002</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 7 3 1 -1.</_>
-                <_>
-                  11 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3850060533732176e-003</threshold>
-            <left_val>1.0447499901056290e-001</left_val>
-            <right_val>-3.4482009708881378e-002</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 3 -1.</_>
-                <_>
-                  2 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.1687719970941544e-002</threshold>
-            <left_val>-4.5468750596046448e-001</left_val>
-            <right_val>2.1641310304403305e-002</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 7 3 1 -1.</_>
-                <_>
-                  11 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.2866670456714928e-005</threshold>
-            <left_val>-5.9006929397583008e-002</left_val>
-            <right_val>5.5168408900499344e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 7 3 1 -1.</_>
-                <_>
-                  6 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4913419727236032e-003</threshold>
-            <left_val>1.6070629656314850e-001</left_val>
-            <right_val>-5.8827608823776245e-002</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 10 8 2 -1.</_>
-                <_>
-                  14 10 4 1 2.</_>
-                <_>
-                  10 11 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9107990451157093e-003</threshold>
-            <left_val>-5.9656649827957153e-002</left_val>
-            <right_val>9.3852207064628601e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 2 6 -1.</_>
-                <_>
-                  2 8 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.5528650041669607e-003</threshold>
-            <left_val>-1.0640110075473785e-001</left_val>
-            <right_val>9.0040393173694611e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 3 2 -1.</_>
-                <_>
-                  13 10 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2945669703185558e-002</threshold>
-            <left_val>1.9677519798278809e-002</left_val>
-            <right_val>-1.7321330308914185e-001</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 9 3 2 -1.</_>
-                <_>
-                  2 10 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.4259969298727810e-005</threshold>
-            <left_val>-2.3065930604934692e-001</left_val>
-            <right_val>5.5004071444272995e-002</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 4 2 6 -1.</_>
-                <_>
-                  14 4 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6149960458278656e-002</threshold>
-            <left_val>3.1157720834016800e-002</left_val>
-            <right_val>-9.7619056701660156e-002</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 6 2 -1.</_>
-                <_>
-                  4 4 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.3370880484580994e-001</threshold>
-            <left_val>-4.6099790930747986e-001</left_val>
-            <right_val>2.0583210512995720e-002</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 7 2 1 -1.</_>
-                <_>
-                  11 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.7964879348874092e-003</threshold>
-            <left_val>3.0732661485671997e-001</left_val>
-            <right_val>-2.7057770639657974e-002</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 10 1 -1.</_>
-                <_>
-                  5 10 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8513940311968327e-003</threshold>
-            <left_val>-5.1156919449567795e-002</left_val>
-            <right_val>1.6160629689693451e-001</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 12 9 -1.</_>
-                <_>
-                  4 3 6 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.2029757797718048e-002</threshold>
-            <left_val>-4.0357459336519241e-002</left_val>
-            <right_val>1.0516119748353958e-001</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 10 2 2 -1.</_>
-                <_>
-                  2 10 1 1 2.</_>
-                <_>
-                  3 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0794289846671745e-004</threshold>
-            <left_val>-9.3203842639923096e-002</left_val>
-            <right_val>9.3569189310073853e-002</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 8 1 3 -1.</_>
-                <_>
-                  14 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.2651713639497757e-003</threshold>
-            <left_val>-3.9545240998268127e-001</left_val>
-            <right_val>2.5677639991044998e-002</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 3 1 -1.</_>
-                <_>
-                  4 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4052440412342548e-002</threshold>
-            <left_val>-5.9753012657165527e-001</left_val>
-            <right_val>1.5152829699218273e-002</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 4 4 -1.</_>
-                <_>
-                  8 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.1634595990180969e-003</threshold>
-            <left_val>9.5714226365089417e-002</left_val>
-            <right_val>-9.5124170184135437e-002</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 1 6 -1.</_>
-                <_>
-                  7 3 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.2123326361179352e-002</threshold>
-            <left_val>3.2383221387863159e-001</left_val>
-            <right_val>-2.8505349531769753e-002</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 2 4 -1.</_>
-                <_>
-                  14 3 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4225790277123451e-002</threshold>
-            <left_val>7.5030997395515442e-002</left_val>
-            <right_val>-4.6096429228782654e-002</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 4 2 -1.</_>
-                <_>
-                  4 3 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.9291448667645454e-003</threshold>
-            <left_val>-7.9523496329784393e-002</left_val>
-            <right_val>1.3036440312862396e-001</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 12 6 -1.</_>
-                <_>
-                  12 4 6 3 2.</_>
-                <_>
-                  6 7 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2931670062243938e-002</threshold>
-            <left_val>-1.2009199708700180e-001</left_val>
-            <right_val>4.2189829051494598e-002</right_val></_></_>
-        <_>
-          <!-- tree 120 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 12 6 -1.</_>
-                <_>
-                  0 4 6 3 2.</_>
-                <_>
-                  6 7 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8171440064907074e-001</threshold>
-            <left_val>2.2706279531121254e-002</left_val>
-            <right_val>-4.8832720518112183e-001</right_val></_></_>
-        <_>
-          <!-- tree 121 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 1 4 -1.</_>
-                <_>
-                  10 4 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9113100841641426e-002</threshold>
-            <left_val>-6.3608497381210327e-001</left_val>
-            <right_val>8.8415952632203698e-004</right_val></_></_>
-        <_>
-          <!-- tree 122 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 1 4 -1.</_>
-                <_>
-                  7 4 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7110278867185116e-003</threshold>
-            <left_val>-3.9759650826454163e-002</left_val>
-            <right_val>2.3626869916915894e-001</right_val></_></_>
-        <_>
-          <!-- tree 123 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 3 1 4 -1.</_>
-                <_>
-                  17 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.4733629375696182e-003</threshold>
-            <left_val>2.2379960864782333e-002</left_val>
-            <right_val>-1.7788839340209961e-001</right_val></_></_>
-        <_>
-          <!-- tree 124 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 1 4 -1.</_>
-                <_>
-                  0 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.1282920911908150e-003</threshold>
-            <left_val>3.3228699117898941e-002</left_val>
-            <right_val>-2.5719881057739258e-001</right_val></_></_>
-        <_>
-          <!-- tree 125 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 4 2 1 -1.</_>
-                <_>
-                  11 4 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7273770645260811e-002</threshold>
-            <left_val>1.6270759701728821e-001</left_val>
-            <right_val>-2.1705560386180878e-002</right_val></_></_>
-        <_>
-          <!-- tree 126 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 2 -1.</_>
-                <_>
-                  8 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.9155421331524849e-003</threshold>
-            <left_val>2.9015779495239258e-002</left_val>
-            <right_val>-2.9269620776176453e-001</right_val></_></_>
-        <_>
-          <!-- tree 127 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 2 16 1 -1.</_>
-                <_>
-                  5 2 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2589450478553772e-002</threshold>
-            <left_val>-3.7038650363683701e-002</left_val>
-            <right_val>2.3939940333366394e-001</right_val></_></_>
-        <_>
-          <!-- tree 128 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 4 3 -1.</_>
-                <_>
-                  6 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.0267271474003792e-003</threshold>
-            <left_val>4.7315951436758041e-002</left_val>
-            <right_val>-2.2438630461692810e-001</right_val></_></_>
-        <_>
-          <!-- tree 129 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 3 -1.</_>
-                <_>
-                  15 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1691940017044544e-002</threshold>
-            <left_val>1.1056809872388840e-001</left_val>
-            <right_val>-3.3759210258722305e-002</right_val></_></_>
-        <_>
-          <!-- tree 130 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 3 2 -1.</_>
-                <_>
-                  5 2 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0161567740142345e-003</threshold>
-            <left_val>1.0859990119934082e-001</left_val>
-            <right_val>-7.9750627279281616e-002</right_val></_></_>
-        <_>
-          <!-- tree 131 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 9 1 -1.</_>
-                <_>
-                  10 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7831029146909714e-003</threshold>
-            <left_val>6.5243370831012726e-002</left_val>
-            <right_val>-1.0473190248012543e-001</right_val></_></_>
-        <_>
-          <!-- tree 132 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 7 2 1 -1.</_>
-                <_>
-                  6 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0584440315142274e-004</threshold>
-            <left_val>-8.9639373123645782e-002</left_val>
-            <right_val>9.8210841417312622e-002</right_val></_></_>
-        <_>
-          <!-- tree 133 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 2 -1.</_>
-                <_>
-                  9 2 6 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5233529731631279e-002</threshold>
-            <left_val>-6.2021549791097641e-002</left_val>
-            <right_val>1.6327550634741783e-002</right_val></_></_>
-        <_>
-          <!-- tree 134 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 2 6 -1.</_>
-                <_>
-                  9 2 1 6 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.0070729106664658e-002</threshold>
-            <left_val>-4.4011878967285156e-001</left_val>
-            <right_val>2.0913720130920410e-002</right_val></_></_>
-        <_>
-          <!-- tree 135 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 4 2 1 -1.</_>
-                <_>
-                  11 4 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.1066437736153603e-003</threshold>
-            <left_val>-5.4624948650598526e-002</left_val>
-            <right_val>3.3620700240135193e-002</right_val></_></_>
-        <_>
-          <!-- tree 136 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 3 6 -1.</_>
-                <_>
-                  2 7 3 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1259020306169987e-002</threshold>
-            <left_val>-6.2500476837158203e-002</left_val>
-            <right_val>1.5815970301628113e-001</right_val></_></_>
-        <_>
-          <!-- tree 137 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 4 2 -1.</_>
-                <_>
-                  13 4 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.9940709471702576e-002</threshold>
-            <left_val>9.9289081990718842e-002</left_val>
-            <right_val>-1.5471179969608784e-002</right_val></_></_>
-        <_>
-          <!-- tree 138 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 2 4 -1.</_>
-                <_>
-                  5 4 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.5130548775196075e-002</threshold>
-            <left_val>-6.7135852575302124e-001</left_val>
-            <right_val>1.5666810795664787e-002</right_val></_></_>
-        <_>
-          <!-- tree 139 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 4 -1.</_>
-                <_>
-                  17 8 1 2 2.</_>
-                <_>
-                  16 10 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5883829481899738e-003</threshold>
-            <left_val>1.7980380356311798e-001</left_val>
-            <right_val>-2.3508859798312187e-002</right_val></_></_>
-        <_>
-          <!-- tree 140 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 4 -1.</_>
-                <_>
-                  0 8 1 2 2.</_>
-                <_>
-                  1 10 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0726720211096108e-004</threshold>
-            <left_val>-1.2116920202970505e-001</left_val>
-            <right_val>7.4779331684112549e-002</right_val></_></_>
-        <_>
-          <!-- tree 141 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 3 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.8314870111644268e-003</threshold>
-            <left_val>1.4616240561008453e-001</left_val>
-            <right_val>-5.4507091641426086e-002</right_val></_></_>
-        <_>
-          <!-- tree 142 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 3 2 -1.</_>
-                <_>
-                  8 2 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7257036939263344e-003</threshold>
-            <left_val>1.9625810906291008e-002</left_val>
-            <right_val>-4.1208940744400024e-001</right_val></_></_>
-        <_>
-          <!-- tree 143 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 2 -1.</_>
-                <_>
-                  13 6 1 1 2.</_>
-                <_>
-                  12 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4206570815294981e-003</threshold>
-            <left_val>1.5835359692573547e-001</left_val>
-            <right_val>-3.8983419537544250e-002</right_val></_></_>
-        <_>
-          <!-- tree 144 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 2 3 -1.</_>
-                <_>
-                  7 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.1286660805344582e-002</threshold>
-            <left_val>2.2240610420703888e-001</left_val>
-            <right_val>-3.5136040300130844e-002</right_val></_></_>
-        <_>
-          <!-- tree 145 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 2 1 -1.</_>
-                <_>
-                  10 4 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.1091319397091866e-002</threshold>
-            <left_val>4.7937040217220783e-003</left_val>
-            <right_val>-7.7131432294845581e-001</right_val></_></_>
-        <_>
-          <!-- tree 146 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 1 2 -1.</_>
-                <_>
-                  8 4 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7936730757355690e-002</threshold>
-            <left_val>1.5124980360269547e-002</left_val>
-            <right_val>-5.3765070438385010e-001</right_val></_></_>
-        <_>
-          <!-- tree 147 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 2 -1.</_>
-                <_>
-                  13 6 1 1 2.</_>
-                <_>
-                  12 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1349859889596701e-003</threshold>
-            <left_val>-5.1612630486488342e-002</left_val>
-            <right_val>1.4234930276870728e-001</right_val></_></_>
-        <_>
-          <!-- tree 148 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 3 3 -1.</_>
-                <_>
-                  8 7 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.0158199369907379e-002</threshold>
-            <left_val>-3.8654580712318420e-001</left_val>
-            <right_val>2.1317519247531891e-002</right_val></_></_>
-        <_>
-          <!-- tree 149 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 3 -1.</_>
-                <_>
-                  15 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3773770071566105e-002</threshold>
-            <left_val>-2.7151010930538177e-002</left_val>
-            <right_val>1.3596110045909882e-001</right_val></_></_>
-        <_>
-          <!-- tree 150 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 4 -1.</_>
-                <_>
-                  0 2 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1484188288450241e-002</threshold>
-            <left_val>1.2364120222628117e-002</left_val>
-            <right_val>-6.0026621818542480e-001</right_val></_></_>
-        <_>
-          <!-- tree 151 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 3 -1.</_>
-                <_>
-                  15 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.5589502453804016e-002</threshold>
-            <left_val>-3.6776699125766754e-003</left_val>
-            <right_val>7.8460097312927246e-001</right_val></_></_>
-        <_>
-          <!-- tree 152 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 3 2 -1.</_>
-                <_>
-                  3 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1003009974956512e-002</threshold>
-            <left_val>-6.3236251473426819e-002</left_val>
-            <right_val>1.5475340187549591e-001</right_val></_></_>
-        <_>
-          <!-- tree 153 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 3 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8239460662007332e-002</threshold>
-            <left_val>-5.1131701469421387e-001</left_val>
-            <right_val>4.6110339462757111e-003</right_val></_></_>
-        <_>
-          <!-- tree 154 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 3 1 -1.</_>
-                <_>
-                  2 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2187300249934196e-002</threshold>
-            <left_val>2.7354350686073303e-001</left_val>
-            <right_val>-3.5504270344972610e-002</right_val></_></_>
-        <_>
-          <!-- tree 155 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 3 -1.</_>
-                <_>
-                  15 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.2632675766944885e-003</threshold>
-            <left_val>2.6573730632662773e-002</left_val>
-            <right_val>-1.7602869868278503e-001</right_val></_></_>
-        <_>
-          <!-- tree 156 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 3 3 -1.</_>
-                <_>
-                  0 3 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.9086610563099384e-003</threshold>
-            <left_val>4.5535139739513397e-002</left_val>
-            <right_val>-1.7905420064926147e-001</right_val></_></_>
-        <_>
-          <!-- tree 157 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 3 -1.</_>
-                <_>
-                  0 3 18 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0929259955883026e-002</threshold>
-            <left_val>-6.4203962683677673e-002</left_val>
-            <right_val>1.4781139791011810e-001</right_val></_></_>
-        <_>
-          <!-- tree 158 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 10 -1.</_>
-                <_>
-                  9 0 9 10 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.3848549127578735e-001</threshold>
-            <left_val>3.0681729316711426e-001</left_val>
-            <right_val>-2.5509320199489594e-002</right_val></_></_>
-        <_>
-          <!-- tree 159 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 18 1 -1.</_>
-                <_>
-                  0 11 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.2267033159732819e-002</threshold>
-            <left_val>2.5428939610719681e-002</left_val>
-            <right_val>-3.7467381358146667e-001</right_val></_></_>
-        <_>
-          <!-- tree 160 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 4 -1.</_>
-                <_>
-                  5 7 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5226610004901886e-002</threshold>
-            <left_val>1.6329860687255859e-001</left_val>
-            <right_val>-4.9246568232774734e-002</right_val></_></_>
-        <_>
-          <!-- tree 161 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 14 1 -1.</_>
-                <_>
-                  4 9 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2331340461969376e-002</threshold>
-            <left_val>-4.1064839810132980e-002</left_val>
-            <right_val>8.4209568798542023e-002</right_val></_></_>
-        <_>
-          <!-- tree 162 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 6 2 -1.</_>
-                <_>
-                  6 9 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0107300244271755e-002</threshold>
-            <left_val>3.6028161644935608e-002</left_val>
-            <right_val>-2.2353689372539520e-001</right_val></_></_>
-        <_>
-          <!-- tree 163 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 6 3 -1.</_>
-                <_>
-                  12 10 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2511450573801994e-002</threshold>
-            <left_val>1.1696700006723404e-002</left_val>
-            <right_val>-3.9479258656501770e-001</right_val></_></_>
-        <_>
-          <!-- tree 164 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 2 2 -1.</_>
-                <_>
-                  0 9 1 1 2.</_>
-                <_>
-                  1 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.2349717558827251e-005</threshold>
-            <left_val>1.1120089888572693e-001</left_val>
-            <right_val>-6.8608567118644714e-002</right_val></_></_>
-        <_>
-          <!-- tree 165 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 9 2 2 -1.</_>
-                <_>
-                  17 9 1 1 2.</_>
-                <_>
-                  16 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0324839968234301e-004</threshold>
-            <left_val>-6.6275127232074738e-002</left_val>
-            <right_val>6.7079029977321625e-002</right_val></_></_>
-        <_>
-          <!-- tree 166 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 2 2 -1.</_>
-                <_>
-                  0 9 1 1 2.</_>
-                <_>
-                  1 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.9090077381115407e-005</threshold>
-            <left_val>-1.0303229838609695e-001</left_val>
-            <right_val>9.4525799155235291e-002</right_val></_></_>
-        <_>
-          <!-- tree 167 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 6 3 -1.</_>
-                <_>
-                  12 10 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1240658611059189e-002</threshold>
-            <left_val>-7.6241451501846313e-001</left_val>
-            <right_val>4.3533057905733585e-003</right_val></_></_>
-        <_>
-          <!-- tree 168 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 1 2 -1.</_>
-                <_>
-                  0 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.7355383331887424e-005</threshold>
-            <left_val>-1.1680190265178680e-001</left_val>
-            <right_val>6.3053049147129059e-002</right_val></_></_>
-        <_>
-          <!-- tree 169 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 6 3 -1.</_>
-                <_>
-                  12 10 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0743820166680962e-004</threshold>
-            <left_val>6.4560279250144958e-002</left_val>
-            <right_val>-5.4237850010395050e-002</right_val></_></_>
-        <_>
-          <!-- tree 170 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 3 3 -1.</_>
-                <_>
-                  0 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.5144548900425434e-003</threshold>
-            <left_val>3.3215470612049103e-002</left_val>
-            <right_val>-2.5936529040336609e-001</right_val></_></_>
-        <_>
-          <!-- tree 171 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 2 -1.</_>
-                <_>
-                  13 6 1 1 2.</_>
-                <_>
-                  12 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2152430135756731e-003</threshold>
-            <left_val>7.2427697479724884e-002</left_val>
-            <right_val>-3.1113930046558380e-002</right_val></_></_>
-        <_>
-          <!-- tree 172 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 2 2 -1.</_>
-                <_>
-                  4 6 1 1 2.</_>
-                <_>
-                  5 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8813109491020441e-003</threshold>
-            <left_val>-5.5175848305225372e-002</left_val>
-            <right_val>1.3634249567985535e-001</right_val></_></_>
-        <_>
-          <!-- tree 173 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 2 1 -1.</_>
-                <_>
-                  11 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5010379292070866e-003</threshold>
-            <left_val>-4.3706288933753967e-001</left_val>
-            <right_val>1.2440679594874382e-002</right_val></_></_>
-        <_>
-          <!-- tree 174 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 2 1 -1.</_>
-                <_>
-                  6 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6884759105741978e-003</threshold>
-            <left_val>-5.7385152578353882e-001</left_val>
-            <right_val>1.2120500206947327e-002</right_val></_></_>
-        <_>
-          <!-- tree 175 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 8 -1.</_>
-                <_>
-                  9 2 9 4 2.</_>
-                <_>
-                  0 6 9 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1402000784873962e-001</threshold>
-            <left_val>-5.8456861972808838e-001</left_val>
-            <right_val>1.0485970415174961e-002</right_val></_></_>
-        <_>
-          <!-- tree 176 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 14 6 -1.</_>
-                <_>
-                  2 8 14 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.1054090261459351e-002</threshold>
-            <left_val>-8.1812131404876709e-001</left_val>
-            <right_val>7.2916587814688683e-003</right_val></_></_>
-        <_>
-          <!-- tree 177 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 8 1 3 -1.</_>
-                <_>
-                  9 9 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5786549560725689e-003</threshold>
-            <left_val>1.6817580163478851e-001</left_val>
-            <right_val>-3.0429689213633537e-002</right_val></_></_>
-        <_>
-          <!-- tree 178 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 2 -1.</_>
-                <_>
-                  8 9 1 1 2.</_>
-                <_>
-                  9 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.9935383584816009e-005</threshold>
-            <left_val>9.6470743417739868e-002</left_val>
-            <right_val>-7.6730802655220032e-002</right_val></_></_>
-        <_>
-          <!-- tree 179 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 2 -1.</_>
-                <_>
-                  9 9 1 1 2.</_>
-                <_>
-                  8 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.1117057309020311e-005</threshold>
-            <left_val>1.1266720294952393e-001</left_val>
-            <right_val>-9.5239438116550446e-002</right_val></_></_>
-        <_>
-          <!-- tree 180 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 1 3 -1.</_>
-                <_>
-                  3 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.6042489334940910e-002</threshold>
-            <left_val>-7.2348618507385254e-001</left_val>
-            <right_val>1.0882630012929440e-002</right_val></_></_>
-        <_>
-          <!-- tree 181 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 2 -1.</_>
-                <_>
-                  9 9 1 1 2.</_>
-                <_>
-                  8 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.9935383584816009e-005</threshold>
-            <left_val>-8.0347903072834015e-002</left_val>
-            <right_val>9.3099772930145264e-002</right_val></_></_>
-        <_>
-          <!-- tree 182 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 8 2 1 -1.</_>
-                <_>
-                  9 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9171269163489342e-003</threshold>
-            <left_val>2.3305200040340424e-002</left_val>
-            <right_val>-3.5824480652809143e-001</right_val></_></_>
-        <_>
-          <!-- tree 183 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 14 2 -1.</_>
-                <_>
-                  4 9 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1886080354452133e-001</threshold>
-            <left_val>4.6478789299726486e-003</left_val>
-            <right_val>-5.0907981395721436e-001</right_val></_></_>
-        <_>
-          <!-- tree 184 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 14 2 -1.</_>
-                <_>
-                  7 9 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2497439980506897e-001</threshold>
-            <left_val>-1.1920450255274773e-002</left_val>
-            <right_val>6.2223482131958008e-001</right_val></_></_>
-        <_>
-          <!-- tree 185 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 2 -1.</_>
-                <_>
-                  16 9 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2638079574098811e-005</threshold>
-            <left_val>-5.9718921780586243e-002</left_val>
-            <right_val>2.8372069820761681e-002</right_val></_></_>
-        <_>
-          <!-- tree 186 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 2 -1.</_>
-                <_>
-                  0 9 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3235920127481222e-003</threshold>
-            <left_val>-3.6871388554573059e-001</left_val>
-            <right_val>1.8724299967288971e-002</right_val></_></_>
-        <_>
-          <!-- tree 187 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 5 3 -1.</_>
-                <_>
-                  7 4 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6250781267881393e-002</threshold>
-            <left_val>-2.9849739745259285e-002</left_val>
-            <right_val>2.6220449805259705e-001</right_val></_></_>
-        <_>
-          <!-- tree 188 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 3 2 -1.</_>
-                <_>
-                  6 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.5288298279047012e-003</threshold>
-            <left_val>-5.9577301144599915e-002</left_val>
-            <right_val>1.1369310319423676e-001</right_val></_></_>
-        <_>
-          <!-- tree 189 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 8 2 2 -1.</_>
-                <_>
-                  15 8 1 1 2.</_>
-                <_>
-                  14 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1289530084468424e-004</threshold>
-            <left_val>6.7611873149871826e-002</left_val>
-            <right_val>-5.3027831017971039e-002</right_val></_></_>
-        <_>
-          <!-- tree 190 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 2 2 -1.</_>
-                <_>
-                  2 8 1 1 2.</_>
-                <_>
-                  3 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.4089351478032768e-005</threshold>
-            <left_val>-9.8176851868629456e-002</left_val>
-            <right_val>8.5162512958049774e-002</right_val></_></_>
-        <_>
-          <!-- tree 191 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 3 5 -1.</_>
-                <_>
-                  14 4 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3257388062775135e-003</threshold>
-            <left_val>1.2211889773607254e-001</left_val>
-            <right_val>-9.0576842427253723e-002</right_val></_></_>
-        <_>
-          <!-- tree 192 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 3 7 -1.</_>
-                <_>
-                  3 1 1 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8568990528583527e-002</threshold>
-            <left_val>-4.1049700975418091e-001</left_val>
-            <right_val>2.1933330222964287e-002</right_val></_></_>
-        <_>
-          <!-- tree 193 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 7 3 1 -1.</_>
-                <_>
-                  13 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9717009272426367e-003</threshold>
-            <left_val>1.6750890016555786e-001</left_val>
-            <right_val>-6.1077561229467392e-002</right_val></_></_></trees>
-      <stage_threshold>-1.5810970067977905e+000</stage_threshold>
-      <parent>18</parent>
-      <next>-1</next></_></stages></classifier_OjoI_18_12_SIANIfacity>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_mouth.xml b/data/haarcascades/haarcascade_mcs_mouth.xml
deleted file mode 100644
index 277a2eb678..0000000000
--- a/data/haarcascades/haarcascade_mcs_mouth.xml
+++ /dev/null
@@ -1,17680 +0,0 @@
-<?xml version="1.0"?>
-<!--
-25x15 Mouth detector computed with 7000 positive samples
-2006-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 – Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 – Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@ARTICLE{Castrillon11-mva,
-					  author = {Modesto Castrill\'on and Oscar D\'eniz and Daniel Hern\'andez and Javier Lorenzo},
-					  title = {A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework},
-					  journal = {Machine Vision and Applications},
-					  year = {2011},
-					  volume = {22},
-					  pages = {481-494},
-					  number = {3},
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
-
--->
-<opencv_storage>
-<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
-  <featureType>HAAR</featureType>
-  <height>25</height>
-  <width>15</width>
-  <stageParams>
-    <maxWeakCount>218</maxWeakCount></stageParams>
-  <featureParams>
-    <maxCatCount>0</maxCatCount></featureParams>
-  <stageNum>17</stageNum>
-  <stages>
-    <_>
-      <maxWeakCount>13</maxWeakCount>
-      <stageThreshold>-1.4372119903564453e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 0 -1.1928550153970718e-01</internalNodes>
-          <leafValues>
-            7.8541821241378784e-01 -4.5413601398468018e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1 -6.4164772629737854e-02</internalNodes>
-          <leafValues>
-            -7.4076807498931885e-01 2.6520359516143799e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2 9.1076180338859558e-02</internalNodes>
-          <leafValues>
-            -2.0633709430694580e-01 8.4009462594985962e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3 -1.1293300241231918e-01</internalNodes>
-          <leafValues>
-            8.2841217517852783e-01 -1.8663629889488220e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 4 -7.4193343520164490e-02</internalNodes>
-          <leafValues>
-            8.3546602725982666e-01 -1.5277010202407837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 5 2.1404659491963685e-05</internalNodes>
-          <leafValues>
-            -7.1694560348987579e-02 1.8583349883556366e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 6 -9.9697530269622803e-02</internalNodes>
-          <leafValues>
-            6.8704581260681152e-01 -1.7217309772968292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 7 -9.0041361749172211e-02</internalNodes>
-          <leafValues>
-            7.3102378845214844e-01 -1.3687719404697418e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 8 2.5138311320915818e-04</internalNodes>
-          <leafValues>
-            -3.4698268771171570e-01 3.6477771401405334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 9 1.6144449546118267e-05</internalNodes>
-          <leafValues>
-            -3.0854660272598267e-01 2.3200240731239319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 10 1.9363909814273939e-05</internalNodes>
-          <leafValues>
-            -3.8198560476303101e-01 2.4041070044040680e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 11 6.9673648104071617e-03</internalNodes>
-          <leafValues>
-            5.4587811231613159e-02 -7.4870657920837402e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 12 -4.7189309261739254e-03</internalNodes>
-          <leafValues>
-            -7.4766868352890015e-01 1.2058690190315247e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>13</maxWeakCount>
-      <stageThreshold>-1.5416599512100220e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 13 -1.0063350200653076e-01</internalNodes>
-          <leafValues>
-            7.8480839729309082e-01 -3.8668298721313477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 14 -3.6676760762929916e-02</internalNodes>
-          <leafValues>
-            5.4532337188720703e-01 -4.0126779675483704e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 15 8.1556223332881927e-02</internalNodes>
-          <leafValues>
-            -1.3153980672359467e-01 8.0849581956863403e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 16 -1.0641860216856003e-01</internalNodes>
-          <leafValues>
-            6.7823898792266846e-01 -2.0833569765090942e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 17 1.5630740672349930e-02</internalNodes>
-          <leafValues>
-            -3.7497881054878235e-01 3.1505098938941956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 18 7.1129046380519867e-02</internalNodes>
-          <leafValues>
-            -1.5573850274085999e-01 7.0505428314208984e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 19 7.3663912713527679e-02</internalNodes>
-          <leafValues>
-            -1.5476830303668976e-01 6.7158848047256470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 20 -1.0592950275167823e-04</internalNodes>
-          <leafValues>
-            1.3653880357742310e-01 -2.6701828837394714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 21 -1.9239520188421011e-03</internalNodes>
-          <leafValues>
-            -7.2614389657974243e-01 1.3645769655704498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 22 2.3057300131767988e-03</internalNodes>
-          <leafValues>
-            7.0613697171211243e-02 -6.4231842756271362e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 23 1.8073299434036016e-03</internalNodes>
-          <leafValues>
-            1.3556429743766785e-01 -7.0507860183715820e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 24 -6.6433362662792206e-02</internalNodes>
-          <leafValues>
-            6.1587882041931152e-01 -1.4002630114555359e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 25 -6.8927720189094543e-02</internalNodes>
-          <leafValues>
-            6.7659240961074829e-01 -1.2249880284070969e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>29</maxWeakCount>
-      <stageThreshold>-1.5324319601058960e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 26 -1.8226550519466400e-01</internalNodes>
-          <leafValues>
-            5.9615147113800049e-01 -3.1954830884933472e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 27 2.8932818770408630e-01</internalNodes>
-          <leafValues>
-            -2.4015160277485847e-02 3.7627071142196655e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 28 -4.2456621304154396e-03</internalNodes>
-          <leafValues>
-            -7.1173977851867676e-01 1.2147200107574463e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 29 5.4568149149417877e-02</internalNodes>
-          <leafValues>
-            -1.8221180140972137e-01 4.5972719788551331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 30 -4.4434829615056515e-03</internalNodes>
-          <leafValues>
-            -5.3546768426895142e-01 1.6558359563350677e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 31 -2.0492389798164368e-02</internalNodes>
-          <leafValues>
-            -8.7706089019775391e-01 -1.5163989737629890e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 32 -4.8007471486926079e-03</internalNodes>
-          <leafValues>
-            -5.4314231872558594e-01 1.3561309874057770e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 33 1.2266600131988525e-01</internalNodes>
-          <leafValues>
-            1.1244720220565796e-01 -6.5744018554687500e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 34 -5.5254979088203982e-05</internalNodes>
-          <leafValues>
-            1.5367390215396881e-01 -3.8419818878173828e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 35 -1.1318609863519669e-01</internalNodes>
-          <leafValues>
-            4.9271959066390991e-01 -1.0942760109901428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 36 7.9295687377452850e-02</internalNodes>
-          <leafValues>
-            -1.6474610567092896e-01 4.7205179929733276e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 37 1.4872930012643337e-02</internalNodes>
-          <leafValues>
-            7.4014373123645782e-02 -5.9262758493423462e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 38 5.3839791566133499e-02</internalNodes>
-          <leafValues>
-            -2.1115440130233765e-01 3.5378909111022949e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 39 -7.5959272682666779e-02</internalNodes>
-          <leafValues>
-            5.9318017959594727e-01 -1.0900689661502838e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 40 1.1581660062074661e-01</internalNodes>
-          <leafValues>
-            -9.8490521311759949e-02 5.9403347969055176e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 41 -1.6082640737295151e-02</internalNodes>
-          <leafValues>
-            3.7941950559616089e-01 -1.6540519893169403e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 42 6.7254770547151566e-03</internalNodes>
-          <leafValues>
-            9.3757107853889465e-02 -7.0609378814697266e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 43 -6.1188410967588425e-02</internalNodes>
-          <leafValues>
-            -4.3810299038887024e-01 7.9622969031333923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 44 -5.5152038112282753e-03</internalNodes>
-          <leafValues>
-            -7.0193570852279663e-01 7.8178927302360535e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 45 -1.9885340332984924e-01</internalNodes>
-          <leafValues>
-            -6.7261308431625366e-01 5.6049771606922150e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 46 1.9447319209575653e-02</internalNodes>
-          <leafValues>
-            -1.1651100218296051e-01 4.1515278816223145e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 47 -4.6706218272447586e-03</internalNodes>
-          <leafValues>
-            -6.0901588201522827e-01 1.0499799996614456e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 48 4.0827528573572636e-03</internalNodes>
-          <leafValues>
-            6.8996846675872803e-02 -5.4908710718154907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 49 -2.0197959616780281e-02</internalNodes>
-          <leafValues>
-            2.8849300742149353e-01 -1.8048889935016632e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 50 5.0443068146705627e-02</internalNodes>
-          <leafValues>
-            -8.9770630002021790e-02 4.6099209785461426e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 51 -5.0139562226831913e-03</internalNodes>
-          <leafValues>
-            -4.8208698630332947e-01 5.8809980750083923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 52 8.5741933435201645e-03</internalNodes>
-          <leafValues>
-            5.6864671409130096e-02 -5.9790831804275513e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 53 -1.2162449769675732e-02</internalNodes>
-          <leafValues>
-            1.4463059604167938e-01 -1.1683259904384613e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 54 -1.9329390488564968e-03</internalNodes>
-          <leafValues>
-            -5.4508608579635620e-01 6.0978390276432037e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>34</maxWeakCount>
-      <stageThreshold>-1.4849940538406372e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 55 -3.2055098563432693e-02</internalNodes>
-          <leafValues>
-            4.2800301313400269e-01 -4.2589429020881653e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 56 -1.2310340255498886e-01</internalNodes>
-          <leafValues>
-            5.1212418079376221e-01 -2.0555849373340607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 57 -5.8588259853422642e-03</internalNodes>
-          <leafValues>
-            -7.1018207073211670e-01 1.0759060084819794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 58 9.7714133560657501e-02</internalNodes>
-          <leafValues>
-            -1.4779579639434814e-01 4.5711749792098999e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 59 -5.2739460021257401e-02</internalNodes>
-          <leafValues>
-            3.7437671422958374e-01 -2.1838270127773285e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 60 5.8418910950422287e-02</internalNodes>
-          <leafValues>
-            -1.3862940669059753e-01 4.9932828545570374e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 61 8.8756918907165527e-02</internalNodes>
-          <leafValues>
-            -1.3158950209617615e-01 6.2165617942810059e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 62 1.4587669633328915e-02</internalNodes>
-          <leafValues>
-            9.1569669544696808e-02 -5.8156752586364746e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 63 1.0446000099182129e-01</internalNodes>
-          <leafValues>
-            5.2740359678864479e-03 -5.6644519531250000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 64 -8.4322784096002579e-03</internalNodes>
-          <leafValues>
-            -4.8660460114479065e-01 9.7961761057376862e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 65 4.0655929595232010e-02</internalNodes>
-          <leafValues>
-            1.3915790617465973e-01 -3.6560159921646118e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 66 6.3366899266839027e-03</internalNodes>
-          <leafValues>
-            6.4174547791481018e-02 -6.2454712390899658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 67 1.5845589339733124e-02</internalNodes>
-          <leafValues>
-            -1.7919149994850159e-01 2.8899058699607849e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 68 -7.4686333537101746e-02</internalNodes>
-          <leafValues>
-            5.4240232706069946e-01 -1.3147279620170593e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 69 4.7695250250399113e-03</internalNodes>
-          <leafValues>
-            9.6534043550491333e-02 -6.5611547231674194e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 70 -5.3522668778896332e-02</internalNodes>
-          <leafValues>
-            4.6368008852005005e-01 -1.3534300029277802e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 71 -6.3648750074207783e-03</internalNodes>
-          <leafValues>
-            -6.6245639324188232e-01 6.8485736846923828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 72 -2.4473370611667633e-01</internalNodes>
-          <leafValues>
-            -8.1813371181488037e-01 4.5079968869686127e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 73 -2.4634969886392355e-03</internalNodes>
-          <leafValues>
-            -7.6818048954010010e-01 4.9584589898586273e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 74 -3.5803489387035370e-02</internalNodes>
-          <leafValues>
-            3.7496039271354675e-01 -1.4479289948940277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 75 -5.6720529682934284e-03</internalNodes>
-          <leafValues>
-            -6.1275362968444824e-01 9.3584716320037842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 76 -1.3268710114061832e-02</internalNodes>
-          <leafValues>
-            2.8637841343879700e-01 -2.5518891215324402e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 77 -6.2518939375877380e-03</internalNodes>
-          <leafValues>
-            -5.8967739343643188e-01 6.7711167037487030e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 78 7.3092570528388023e-03</internalNodes>
-          <leafValues>
-            2.7219809591770172e-02 -5.7148611545562744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 79 2.5819439440965652e-02</internalNodes>
-          <leafValues>
-            -1.3260079920291901e-01 3.0502519011497498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 80 -2.1107880398631096e-02</internalNodes>
-          <leafValues>
-            1.2006290256977081e-01 -1.4752650260925293e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 81 4.0848340839147568e-02</internalNodes>
-          <leafValues>
-            -1.7368830740451813e-01 2.5304460525512695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 82 -1.7947599291801453e-02</internalNodes>
-          <leafValues>
-            -7.1176171302795410e-01 5.8369800448417664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 83 -1.3889590278267860e-02</internalNodes>
-          <leafValues>
-            -6.7781329154968262e-01 4.3563000857830048e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 84 -9.8488982766866684e-03</internalNodes>
-          <leafValues>
-            1.4792129397392273e-01 -8.9746527373790741e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 85 -6.5984703600406647e-02</internalNodes>
-          <leafValues>
-            5.6838017702102661e-01 -6.8174257874488831e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 86 -1.8370660254731774e-03</internalNodes>
-          <leafValues>
-            -4.9869379401206970e-01 7.7964358031749725e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 87 -2.7765180915594101e-02</internalNodes>
-          <leafValues>
-            2.6799491047859192e-01 -1.3826249539852142e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 88 9.9889356642961502e-03</internalNodes>
-          <leafValues>
-            4.4561941176652908e-02 -7.3173791170120239e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>42</maxWeakCount>
-      <stageThreshold>-1.5437099933624268e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 89 -4.5638348907232285e-02</internalNodes>
-          <leafValues>
-            6.2754231691360474e-01 -2.4949370324611664e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 90 -3.1067680567502975e-02</internalNodes>
-          <leafValues>
-            6.4278161525726318e-01 -1.6719000041484833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 91 3.0193419661372900e-03</internalNodes>
-          <leafValues>
-            -2.3993469774723053e-01 3.6768180131912231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 92 3.1567640602588654e-02</internalNodes>
-          <leafValues>
-            -1.1476919800043106e-01 5.7501727342605591e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 93 -6.4146341755986214e-03</internalNodes>
-          <leafValues>
-            2.1546250581741333e-01 -3.7687700986862183e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 94 -5.7010860182344913e-03</internalNodes>
-          <leafValues>
-            -4.5338240265846252e-01 9.4688847661018372e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 95 1.8903000652790070e-01</internalNodes>
-          <leafValues>
-            8.0115526914596558e-02 -7.1848851442337036e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 96 1.2939789891242981e-01</internalNodes>
-          <leafValues>
-            1.0937190055847168e-01 -5.1970487833023071e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 97 -6.5768390893936157e-02</internalNodes>
-          <leafValues>
-            5.0031042098999023e-01 -1.2387350201606750e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 98 -4.0884059853851795e-03</internalNodes>
-          <leafValues>
-            -5.1180112361907959e-01 5.9422370046377182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 99 -3.0664270743727684e-02</internalNodes>
-          <leafValues>
-            2.9646489024162292e-01 -1.7412480711936951e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 100 2.7700960636138916e-03</internalNodes>
-          <leafValues>
-            8.4690727293491364e-02 -4.0095150470733643e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 101 -6.2402039766311646e-03</internalNodes>
-          <leafValues>
-            -5.5609232187271118e-01 8.0085046589374542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 102 1.0515259578824043e-02</internalNodes>
-          <leafValues>
-            -1.3094049692153931e-01 3.6127111315727234e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 103 1.8179269507527351e-02</internalNodes>
-          <leafValues>
-            -1.2451809644699097e-01 3.5565629601478577e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 104 5.3037698380649090e-03</internalNodes>
-          <leafValues>
-            6.3822023570537567e-02 -6.1784660816192627e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 105 -1.9478060305118561e-01</internalNodes>
-          <leafValues>
-            -7.2289019823074341e-01 4.7576818615198135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 106 7.2230421938002110e-03</internalNodes>
-          <leafValues>
-            4.5338228344917297e-02 -5.4608362913131714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 107 5.0375838764011860e-03</internalNodes>
-          <leafValues>
-            8.0446831881999969e-02 -4.8174721002578735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 108 -7.1934829466044903e-03</internalNodes>
-          <leafValues>
-            -5.0189918279647827e-01 1.2870029546320438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 109 -4.4941599480807781e-03</internalNodes>
-          <leafValues>
-            -5.8627098798751831e-01 6.3467502593994141e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 110 8.7413139641284943e-02</internalNodes>
-          <leafValues>
-            -6.7620240151882172e-02 4.7970318794250488e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 111 -3.7701569497585297e-02</internalNodes>
-          <leafValues>
-            3.9133429527282715e-01 -9.7880929708480835e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 112 3.0070370994508266e-03</internalNodes>
-          <leafValues>
-            4.8492491245269775e-02 -2.4722249805927277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 113 9.7409866750240326e-02</internalNodes>
-          <leafValues>
-            -6.6901072859764099e-02 5.8135199546813965e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 114 -4.0166568942368031e-03</internalNodes>
-          <leafValues>
-            -5.4565542936325073e-01 3.6392461508512497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 115 1.0492489673197269e-02</internalNodes>
-          <leafValues>
-            -1.0874660313129425e-01 3.2534250617027283e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 116 2.4965999647974968e-02</internalNodes>
-          <leafValues>
-            -1.1378960311412811e-01 3.0565109848976135e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 117 1.3010300695896149e-01</internalNodes>
-          <leafValues>
-            -1.2204769998788834e-01 3.0353659391403198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 118 -8.4372088313102722e-02</internalNodes>
-          <leafValues>
-            -6.9431221485137939e-01 1.7885660752654076e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 119 -2.9267850331962109e-03</internalNodes>
-          <leafValues>
-            -5.4018348455429077e-01 5.6407321244478226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 120 -2.0674509927630424e-02</internalNodes>
-          <leafValues>
-            4.1809210181236267e-01 -6.8534046411514282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 121 -5.1450639963150024e-02</internalNodes>
-          <leafValues>
-            -6.2890982627868652e-01 5.2987698465585709e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 122 -8.9261196553707123e-03</internalNodes>
-          <leafValues>
-            -4.6443560719490051e-01 2.3655079305171967e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 123 -8.3048470318317413e-02</internalNodes>
-          <leafValues>
-            3.3041968941688538e-01 -9.3869760632514954e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 124 1.1336999945342541e-02</internalNodes>
-          <leafValues>
-            -9.7960032522678375e-02 3.4840530157089233e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 125 8.2777902483940125e-02</internalNodes>
-          <leafValues>
-            -1.1593910306692123e-01 2.6809579133987427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 126 -4.7884881496429443e-02</internalNodes>
-          <leafValues>
-            -6.0792112350463867e-01 2.2236289456486702e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 127 -3.8582698907703161e-03</internalNodes>
-          <leafValues>
-            -4.6889010071754456e-01 5.5454041808843613e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 128 -3.3453129231929779e-02</internalNodes>
-          <leafValues>
-            4.1926679015159607e-01 -6.3108846545219421e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 129 1.2603639625012875e-02</internalNodes>
-          <leafValues>
-            -1.2276329845190048e-01 2.1752209961414337e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 130 2.6260089129209518e-02</internalNodes>
-          <leafValues>
-            1.6289670020341873e-02 -5.6887590885162354e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>64</maxWeakCount>
-      <stageThreshold>-1.5637760162353516e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 131 -1.9779309630393982e-02</internalNodes>
-          <leafValues>
-            4.4720950722694397e-01 -2.5737971067428589e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 132 -9.1997236013412476e-03</internalNodes>
-          <leafValues>
-            4.3978941440582275e-01 -1.3823099434375763e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 133 2.2242579609155655e-02</internalNodes>
-          <leafValues>
-            -1.7611500620841980e-01 3.4068119525909424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 134 5.3650550544261932e-03</internalNodes>
-          <leafValues>
-            -1.0874909907579422e-01 1.6310940682888031e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 135 7.4250137805938721e-01</internalNodes>
-          <leafValues>
-            4.6233131433837116e-04 -1.4172740478515625e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 136 -1.2899990379810333e-01</internalNodes>
-          <leafValues>
-            4.2209368944168091e-01 -1.2642090022563934e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 137 4.2140239477157593e-01</internalNodes>
-          <leafValues>
-            3.0299068894237280e-03 1.2071870117187500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 138 -1.4317120611667633e-01</internalNodes>
-          <leafValues>
-            5.0700122117996216e-01 -1.0911709815263748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 139 4.4366121292114258e-03</internalNodes>
-          <leafValues>
-            -2.2188140451908112e-01 2.4461059272289276e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 140 3.0177310109138489e-03</internalNodes>
-          <leafValues>
-            1.0722339898347855e-01 -3.4702050685882568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 141 -4.8220949247479439e-03</internalNodes>
-          <leafValues>
-            -6.5341192483901978e-01 8.0343447625637054e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 142 3.6278828978538513e-02</internalNodes>
-          <leafValues>
-            -2.2070750594139099e-01 2.2424909472465515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 143 -1.6759949922561646e-01</internalNodes>
-          <leafValues>
-            4.0590721368789673e-01 -1.0541699826717377e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 144 -5.0991941243410110e-02</internalNodes>
-          <leafValues>
-            3.4522831439971924e-01 -1.2064740061759949e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 145 1.6163529828190804e-02</internalNodes>
-          <leafValues>
-            -1.4651750028133392e-01 3.6967509984970093e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 146 8.3268675953149796e-03</internalNodes>
-          <leafValues>
-            6.4239829778671265e-02 -5.4906690120697021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 147 -7.2614871896803379e-03</internalNodes>
-          <leafValues>
-            -6.1058157682418823e-01 5.3833089768886566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 148 -4.2785529047250748e-02</internalNodes>
-          <leafValues>
-            3.4355071187019348e-01 -1.0584419965744019e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 149 -5.5888559669256210e-02</internalNodes>
-          <leafValues>
-            -4.2134630680084229e-01 8.5534237325191498e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 150 1.0770390182733536e-01</internalNodes>
-          <leafValues>
-            7.9667679965496063e-02 -5.1052689552307129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 151 -4.8622798203723505e-05</internalNodes>
-          <leafValues>
-            1.1649709939956665e-01 -3.0223610997200012e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 152 2.7271810919046402e-02</internalNodes>
-          <leafValues>
-            -8.3197653293609619e-02 3.4107041358947754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 153 2.7942128945142031e-03</internalNodes>
-          <leafValues>
-            8.3613917231559753e-02 -4.5217469334602356e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 154 -5.9649557806551456e-03</internalNodes>
-          <leafValues>
-            -5.8149677515029907e-01 5.8847118169069290e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 155 -3.6455120891332626e-02</internalNodes>
-          <leafValues>
-            2.9876148700714111e-01 -1.1639650166034698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 156 5.6035928428173065e-02</internalNodes>
-          <leafValues>
-            -1.1897490173578262e-01 3.4904998540878296e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 157 1.9068910041823983e-03</internalNodes>
-          <leafValues>
-            6.2339980155229568e-02 -5.2227342128753662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 158 -3.1480301171541214e-02</internalNodes>
-          <leafValues>
-            -5.9882801771163940e-01 2.2110050544142723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 159 -2.9177989810705185e-02</internalNodes>
-          <leafValues>
-            -7.6283282041549683e-01 3.7851981818675995e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 160 9.3441819772124290e-03</internalNodes>
-          <leafValues>
-            2.9378799721598625e-02 -5.4641848802566528e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 161 1.2941689928993583e-03</internalNodes>
-          <leafValues>
-            -2.1526190638542175e-01 1.2930710613727570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 162 3.9952751249074936e-02</internalNodes>
-          <leafValues>
-            -8.1563241779804230e-02 3.4403279423713684e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 163 2.5796899199485779e-01</internalNodes>
-          <leafValues>
-            -8.2971312105655670e-02 2.9717591404914856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 164 8.3975978195667267e-03</internalNodes>
-          <leafValues>
-            -1.2357590347528458e-01 3.1307429075241089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 165 -2.1048100665211678e-02</internalNodes>
-          <leafValues>
-            2.5538909435272217e-01 -1.0775920003652573e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 166 1.8419239670038223e-02</internalNodes>
-          <leafValues>
-            -3.4885831177234650e-02 4.6130049228668213e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 167 -3.3599320799112320e-02</internalNodes>
-          <leafValues>
-            -6.3856261968612671e-01 4.3235760182142258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 168 -5.9369178488850594e-03</internalNodes>
-          <leafValues>
-            -3.3812350034713745e-01 2.6138810440897942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 169 7.4244509451091290e-03</internalNodes>
-          <leafValues>
-            4.1649479418992996e-02 -6.0131359100341797e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 170 -3.8341500330716372e-03</internalNodes>
-          <leafValues>
-            -3.1479349732398987e-01 2.2726090624928474e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 171 5.9263929724693298e-03</internalNodes>
-          <leafValues>
-            -8.4517963230609894e-02 2.9861259460449219e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 172 -1.9444419071078300e-02</internalNodes>
-          <leafValues>
-            2.2137579321861267e-01 -5.1358368247747421e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 173 1.8775269389152527e-02</internalNodes>
-          <leafValues>
-            -1.2233640253543854e-01 2.6476910710334778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 174 6.4857508987188339e-03</internalNodes>
-          <leafValues>
-            2.0563449710607529e-02 -5.2469062805175781e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 175 -2.5987258553504944e-01</internalNodes>
-          <leafValues>
-            -6.5701937675476074e-01 3.4549690783023834e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 176 -5.8150831609964371e-03</internalNodes>
-          <leafValues>
-            -6.5954607725143433e-01 3.0244240537285805e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 177 -2.6121940463781357e-02</internalNodes>
-          <leafValues>
-            1.8704070150852203e-01 -1.2529240548610687e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 178 -5.7821800000965595e-03</internalNodes>
-          <leafValues>
-            2.3285099864006042e-01 -1.1824960261583328e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 179 -2.9595640953630209e-03</internalNodes>
-          <leafValues>
-            -4.5799380540847778e-01 5.6465540081262589e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 180 -1.2088200077414513e-02</internalNodes>
-          <leafValues>
-            -5.1893490552902222e-01 2.4499660357832909e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 181 -8.8109169155359268e-03</internalNodes>
-          <leafValues>
-            2.5700250267982483e-01 -9.2767156660556793e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 182 -4.5942850410938263e-02</internalNodes>
-          <leafValues>
-            -4.4797191023826599e-01 2.9946230351924896e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 183 -1.0004140436649323e-02</internalNodes>
-          <leafValues>
-            -6.1496341228485107e-01 3.6421269178390503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 184 -1.1675399728119373e-02</internalNodes>
-          <leafValues>
-            1.1728770285844803e-01 -6.1347480863332748e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 185 -5.2466850727796555e-02</internalNodes>
-          <leafValues>
-            -7.6136529445648193e-01 3.0689470469951630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 186 1.8226340413093567e-02</internalNodes>
-          <leafValues>
-            -8.5480183362960815e-02 2.6953738927841187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 187 -4.5268420130014420e-02</internalNodes>
-          <leafValues>
-            3.2644701004028320e-01 -7.7375642955303192e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 188 -8.1426883116364479e-03</internalNodes>
-          <leafValues>
-            -4.5829379558563232e-01 9.3973511829972267e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 189 -5.3349281661212444e-03</internalNodes>
-          <leafValues>
-            -5.7754981517791748e-01 3.5252388566732407e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 190 -1.0754769900813699e-03</internalNodes>
-          <leafValues>
-            1.4347539842128754e-01 -1.0157629847526550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 191 -3.5198600962758064e-03</internalNodes>
-          <leafValues>
-            -6.0820412635803223e-01 3.2888069748878479e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 192 1.1248350143432617e-02</internalNodes>
-          <leafValues>
-            -9.0550042688846588e-02 2.3237830400466919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 193 -1.1992019601166248e-02</internalNodes>
-          <leafValues>
-            -5.7053321599960327e-01 3.6703631281852722e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 194 -1.2105530127882957e-02</internalNodes>
-          <leafValues>
-            -7.0862692594528198e-01 4.4598700478672981e-03</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>57</maxWeakCount>
-      <stageThreshold>-1.5267670154571533e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 195 -1.1128909885883331e-01</internalNodes>
-          <leafValues>
-            5.2144467830657959e-01 -2.7625268697738647e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 196 -3.1310080084949732e-03</internalNodes>
-          <leafValues>
-            -6.0733932256698608e-01 2.4398099631071091e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 197 -9.7501352429389954e-02</internalNodes>
-          <leafValues>
-            5.4892867803573608e-01 -1.6524270176887512e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 198 -6.5224707126617432e-02</internalNodes>
-          <leafValues>
-            3.4020069241523743e-01 -2.6939308643341064e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 199 1.1918029934167862e-01</internalNodes>
-          <leafValues>
-            -1.1235760152339935e-01 6.3959801197052002e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 200 -1.4062980189919472e-02</internalNodes>
-          <leafValues>
-            3.3427619934082031e-01 -1.2845389544963837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 201 -5.6402500718832016e-02</internalNodes>
-          <leafValues>
-            3.7906289100646973e-01 -1.5541569888591766e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 202 7.1742408908903599e-03</internalNodes>
-          <leafValues>
-            -1.1330889910459518e-01 1.8250890076160431e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 203 1.2597529590129852e-01</internalNodes>
-          <leafValues>
-            9.4548553228378296e-02 -4.8534440994262695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 204 5.9177991934120655e-03</internalNodes>
-          <leafValues>
-            7.0132136344909668e-02 -5.3770399093627930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 205 -4.3927740305662155e-02</internalNodes>
-          <leafValues>
-            3.9507418870925903e-01 -1.0801859945058823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 206 -9.8314704373478889e-03</internalNodes>
-          <leafValues>
-            9.5960617065429688e-02 -4.6807598322629929e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 207 5.6353402324020863e-03</internalNodes>
-          <leafValues>
-            9.4341628253459930e-02 -5.2477169036865234e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 208 -1.1538280174136162e-02</internalNodes>
-          <leafValues>
-            -5.1548802852630615e-01 1.3805530034005642e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 209 2.8646249324083328e-02</internalNodes>
-          <leafValues>
-            -1.3827019929885864e-01 2.7504378557205200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 210 1.3867979869246483e-02</internalNodes>
-          <leafValues>
-            -1.2035869807004929e-01 3.5214358568191528e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 211 -4.0469371015205979e-04</internalNodes>
-          <leafValues>
-            1.5226370096206665e-01 -2.5900840759277344e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 212 -1.5945810079574585e-01</internalNodes>
-          <leafValues>
-            -6.3918548822402954e-01 5.1464989781379700e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 213 -2.7928699273616076e-03</internalNodes>
-          <leafValues>
-            -5.8401507139205933e-01 5.4279379546642303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 214 1.8353210762143135e-02</internalNodes>
-          <leafValues>
-            -1.0511510074138641e-01 3.5298159718513489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 215 -5.1810559816658497e-03</internalNodes>
-          <leafValues>
-            -4.7417679429054260e-01 7.9851232469081879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 216 9.2321299016475677e-03</internalNodes>
-          <leafValues>
-            -7.5932718813419342e-02 1.8528139591217041e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 217 1.2117110192775726e-02</internalNodes>
-          <leafValues>
-            -1.1175289750099182e-01 2.8536349534988403e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 218 -7.2612818330526352e-03</internalNodes>
-          <leafValues>
-            -5.8851087093353271e-01 5.2688319236040115e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 219 5.6134900078177452e-03</internalNodes>
-          <leafValues>
-            4.7468490898609161e-02 -5.3945899009704590e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 220 -1.9451679289340973e-01</internalNodes>
-          <leafValues>
-            -5.6342220306396484e-01 3.0210889875888824e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 221 3.5509431362152100e-01</internalNodes>
-          <leafValues>
-            6.3089452683925629e-02 -4.9805879592895508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 222 3.3111970871686935e-02</internalNodes>
-          <leafValues>
-            3.4632470458745956e-02 -5.2464848756790161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 223 3.4281808882951736e-02</internalNodes>
-          <leafValues>
-            4.3143980205059052e-02 -6.4707130193710327e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 224 -7.8256614506244659e-03</internalNodes>
-          <leafValues>
-            -4.6880009770393372e-01 4.0239371359348297e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 225 1.1156049557030201e-02</internalNodes>
-          <leafValues>
-            4.0150500833988190e-02 -6.0955387353897095e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 226 1.1363060213625431e-02</internalNodes>
-          <leafValues>
-            -8.2748986780643463e-02 3.8116890192031860e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 227 2.0405100658535957e-02</internalNodes>
-          <leafValues>
-            4.2575638741254807e-02 -7.4677741527557373e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 228 1.9111629575490952e-02</internalNodes>
-          <leafValues>
-            -1.2391970306634903e-01 2.2265200316905975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 229 -7.3364898562431335e-03</internalNodes>
-          <leafValues>
-            3.0342069268226624e-01 -9.2695690691471100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 230 -8.6538922041654587e-03</internalNodes>
-          <leafValues>
-            -3.3517450094223022e-01 5.8540578931570053e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 231 3.4789599478244781e-02</internalNodes>
-          <leafValues>
-            3.3757809549570084e-02 -7.4834531545639038e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 232 -1.7418829724192619e-02</internalNodes>
-          <leafValues>
-            2.4453639984130859e-01 -6.9878697395324707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 233 3.5119079984724522e-03</internalNodes>
-          <leafValues>
-            -1.2778869271278381e-01 2.4033150076866150e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 234 5.0669797929003835e-04</internalNodes>
-          <leafValues>
-            -1.1697790026664734e-01 1.4393800497055054e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 235 -5.9512741863727570e-03</internalNodes>
-          <leafValues>
-            -5.0781607627868652e-01 4.7852229326963425e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 236 5.0377801060676575e-02</internalNodes>
-          <leafValues>
-            2.9282520990818739e-03 -7.7516961097717285e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 237 3.8862510118633509e-03</internalNodes>
-          <leafValues>
-            -1.5504209697246552e-01 1.5709200501441956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 238 3.8511630147695541e-02</internalNodes>
-          <leafValues>
-            2.3097040131688118e-02 -6.2916171550750732e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 239 -5.5746049620211124e-03</internalNodes>
-          <leafValues>
-            1.8070709705352783e-01 -1.2980529665946960e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 240 1.2664760649204254e-01</internalNodes>
-          <leafValues>
-            -8.6559399962425232e-02 2.9573258757591248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 241 5.4126111790537834e-03</internalNodes>
-          <leafValues>
-            -1.5283249318599701e-01 1.6629169881343842e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 242 -3.6153081804513931e-02</internalNodes>
-          <leafValues>
-            2.7973130345344543e-01 -1.0398860275745392e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 243 7.1673998609185219e-03</internalNodes>
-          <leafValues>
-            -9.4564221799373627e-02 2.7785280346870422e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 244 -6.7790350876748562e-03</internalNodes>
-          <leafValues>
-            1.6790680587291718e-01 -8.3954311907291412e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 245 -2.9867609962821007e-02</internalNodes>
-          <leafValues>
-            -7.2361171245574951e-01 3.4631069749593735e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 246 6.5265512093901634e-03</internalNodes>
-          <leafValues>
-            -1.1737609654664993e-01 1.3460339605808258e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 247 3.4080960176652297e-05</internalNodes>
-          <leafValues>
-            -1.7531760036945343e-01 1.3222040235996246e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 248 -1.7629459500312805e-02</internalNodes>
-          <leafValues>
-            -5.1608538627624512e-01 2.5386190041899681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 249 -1.5446309698745608e-03</internalNodes>
-          <leafValues>
-            -4.1421860456466675e-01 5.1330089569091797e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 250 1.1520429980009794e-03</internalNodes>
-          <leafValues>
-            3.6615949124097824e-02 -3.6928009986877441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 251 -2.9612779617309570e-03</internalNodes>
-          <leafValues>
-            2.4461880326271057e-01 -8.4271423518657684e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>64</maxWeakCount>
-      <stageThreshold>-1.4507639408111572e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 252 -1.4103169552981853e-02</internalNodes>
-          <leafValues>
-            2.6997908949851990e-01 -3.9283180236816406e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 253 5.4714400321245193e-03</internalNodes>
-          <leafValues>
-            -2.2691699862480164e-01 2.7490520477294922e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 254 1.6635479405522346e-02</internalNodes>
-          <leafValues>
-            -1.5479080379009247e-01 3.2242020964622498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 255 -8.4477178752422333e-03</internalNodes>
-          <leafValues>
-            3.3207809925079346e-01 -1.2496549636125565e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 256 -2.4904569145292044e-03</internalNodes>
-          <leafValues>
-            2.9002049565315247e-01 -1.4602980017662048e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 257 2.8210440650582314e-02</internalNodes>
-          <leafValues>
-            -8.3193711936473846e-02 4.8053979873657227e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 258 9.3179903924465179e-03</internalNodes>
-          <leafValues>
-            -1.6924269497394562e-01 3.4820309281349182e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 259 -5.7910289615392685e-02</internalNodes>
-          <leafValues>
-            -5.0403988361358643e-01 8.4093488752841949e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 260 8.8212646543979645e-02</internalNodes>
-          <leafValues>
-            7.3309987783432007e-02 -4.8833951354026794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 261 6.0974380176048726e-05</internalNodes>
-          <leafValues>
-            -1.5945079922676086e-01 1.4732779562473297e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 262 -1.4206360094249249e-02</internalNodes>
-          <leafValues>
-            -6.3656848669052124e-01 5.0715360790491104e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 263 -7.7181900851428509e-03</internalNodes>
-          <leafValues>
-            -6.3300287723541260e-01 3.2868899405002594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 264 1.2007170356810093e-02</internalNodes>
-          <leafValues>
-            -1.2545250356197357e-01 2.8936991095542908e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 265 7.0782616734504700e-02</internalNodes>
-          <leafValues>
-            3.0565660446882248e-02 -5.6666982173919678e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 266 -5.0412330776453018e-02</internalNodes>
-          <leafValues>
-            -5.0897938013076782e-01 7.1004882454872131e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 267 2.2072799503803253e-02</internalNodes>
-          <leafValues>
-            -1.4448410272598267e-01 2.7811849117279053e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 268 1.4764940366148949e-02</internalNodes>
-          <leafValues>
-            -1.2839899957180023e-01 3.2901859283447266e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 269 6.8206568248569965e-03</internalNodes>
-          <leafValues>
-            6.5479546785354614e-02 -5.4632657766342163e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 270 2.0179790444672108e-03</internalNodes>
-          <leafValues>
-            -2.0283429324626923e-01 1.6796590387821198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 271 2.5081219151616096e-02</internalNodes>
-          <leafValues>
-            -1.1049439758062363e-01 3.1918600201606750e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 272 8.9391358196735382e-03</internalNodes>
-          <leafValues>
-            7.3413208127021790e-02 -5.5383992195129395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 273 -4.6396959805861115e-04</internalNodes>
-          <leafValues>
-            1.1230310052633286e-01 -1.6971270740032196e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 274 -8.5602197796106339e-03</internalNodes>
-          <leafValues>
-            -7.3473477363586426e-01 4.1716948151588440e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 275 -3.8934718817472458e-02</internalNodes>
-          <leafValues>
-            2.2926269471645355e-01 -7.9229943454265594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 276 -2.1541599184274673e-02</internalNodes>
-          <leafValues>
-            3.0071720480918884e-01 -1.1523400247097015e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 277 4.9337721429765224e-03</internalNodes>
-          <leafValues>
-            -1.0028380155563354e-01 1.3485729694366455e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 278 1.6150669753551483e-01</internalNodes>
-          <leafValues>
-            5.8817189186811447e-02 -5.6567448377609253e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 279 -1.2326019816100597e-02</internalNodes>
-          <leafValues>
-            -2.8233280777931213e-01 1.8759630620479584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 280 5.2987951785326004e-03</internalNodes>
-          <leafValues>
-            5.2406348288059235e-02 -5.7190322875976562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 281 2.8904320672154427e-02</internalNodes>
-          <leafValues>
-            4.7710869461297989e-02 -4.8545840382575989e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 282 1.5569729730486870e-02</internalNodes>
-          <leafValues>
-            4.9317851662635803e-02 -5.1000517606735229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 283 -9.3812070786952972e-02</internalNodes>
-          <leafValues>
-            2.5648090243339539e-01 -1.0570690035820007e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 284 -2.8693329542875290e-02</internalNodes>
-          <leafValues>
-            5.2470439672470093e-01 -5.0950251519680023e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 285 7.2301640175282955e-03</internalNodes>
-          <leafValues>
-            5.8365300297737122e-02 -4.8943120241165161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 286 8.2664839283097535e-05</internalNodes>
-          <leafValues>
-            -1.4372180402278900e-01 1.8202689290046692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 287 1.5241750515997410e-03</internalNodes>
-          <leafValues>
-            2.0126799121499062e-02 -3.8845899701118469e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 288 -6.5512307628523558e-05</internalNodes>
-          <leafValues>
-            2.2803540527820587e-01 -1.5812060236930847e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 289 2.4175599683076143e-03</internalNodes>
-          <leafValues>
-            -8.9045077562332153e-02 2.8392508625984192e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 290 3.4308489412069321e-02</internalNodes>
-          <leafValues>
-            3.9130479097366333e-02 -6.2633931636810303e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 291 1.2766799889504910e-02</internalNodes>
-          <leafValues>
-            -9.8429419100284576e-02 2.8574278950691223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 292 -2.7450299821794033e-03</internalNodes>
-          <leafValues>
-            2.0907869935035706e-01 -1.2679450213909149e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 293 -7.0629850961267948e-03</internalNodes>
-          <leafValues>
-            -4.7847199440002441e-01 2.2974679246544838e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 294 1.0967410169541836e-02</internalNodes>
-          <leafValues>
-            -1.3107410073280334e-01 1.7128570377826691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 295 -1.5306890010833740e-01</internalNodes>
-          <leafValues>
-            2.3610730469226837e-01 -9.6540167927742004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 296 2.1676090545952320e-03</internalNodes>
-          <leafValues>
-            -1.0288040339946747e-01 2.5375840067863464e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 297 1.0705149732530117e-02</internalNodes>
-          <leafValues>
-            1.6089269891381264e-02 -5.8685261011123657e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 298 -6.1142919585108757e-03</internalNodes>
-          <leafValues>
-            -6.1467981338500977e-01 3.4404631704092026e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 299 -1.6005769371986389e-02</internalNodes>
-          <leafValues>
-            9.5413319766521454e-02 -6.5781168639659882e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 300 8.5541699081659317e-03</internalNodes>
-          <leafValues>
-            4.2579360306262970e-02 -5.4903411865234375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 301 -5.5742941185599193e-05</internalNodes>
-          <leafValues>
-            1.5058469772338867e-01 -9.7832597792148590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 302 4.9888480134541169e-05</internalNodes>
-          <leafValues>
-            -1.5222179889678955e-01 1.4647099375724792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 303 9.3986131250858307e-03</internalNodes>
-          <leafValues>
-            -7.9301856458187103e-02 2.2228449583053589e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 304 -4.4594589620828629e-02</internalNodes>
-          <leafValues>
-            3.2170730829238892e-01 -7.1259953081607819e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 305 2.7630710601806641e-01</internalNodes>
-          <leafValues>
-            -3.1289439648389816e-02 4.6367809176445007e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 306 -4.5924279838800430e-02</internalNodes>
-          <leafValues>
-            2.6855510473251343e-01 -9.4698183238506317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 307 3.2828450202941895e-02</internalNodes>
-          <leafValues>
-            4.2008858174085617e-02 -1.9091799855232239e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 308 5.8416211977601051e-03</internalNodes>
-          <leafValues>
-            4.4382080435752869e-02 -5.0172328948974609e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 309 2.5312770158052444e-02</internalNodes>
-          <leafValues>
-            7.6768198050558567e-03 -4.5246911048889160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 310 -2.0680379122495651e-02</internalNodes>
-          <leafValues>
-            -7.0823311805725098e-01 2.7752710506320000e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 311 1.9456259906291962e-03</internalNodes>
-          <leafValues>
-            -1.7256410419940948e-01 8.8524073362350464e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 312 1.3182780146598816e-01</internalNodes>
-          <leafValues>
-            3.7875670939683914e-02 -5.2365738153457642e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 313 -4.8449821770191193e-03</internalNodes>
-          <leafValues>
-            -3.8318011164665222e-01 2.9552109539508820e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 314 5.3295581601560116e-03</internalNodes>
-          <leafValues>
-            -1.1728160083293915e-01 1.7122170329093933e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 315 -3.5328458994626999e-02</internalNodes>
-          <leafValues>
-            3.7315499782562256e-01 -6.5027341246604919e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>77</maxWeakCount>
-      <stageThreshold>-1.3936280012130737e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 316 1.3647849671542645e-02</internalNodes>
-          <leafValues>
-            -2.8023689985275269e-01 3.5753351449966431e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 317 1.2307819910347462e-02</internalNodes>
-          <leafValues>
-            -1.4846450090408325e-01 2.7148860692977905e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 318 4.6594038605690002e-01</internalNodes>
-          <leafValues>
-            -7.0500850677490234e-02 5.8680188655853271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 319 1.5693339519202709e-03</internalNodes>
-          <leafValues>
-            -1.1502370238304138e-01 1.3755360245704651e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 320 2.5176738854497671e-03</internalNodes>
-          <leafValues>
-            -1.7788909375667572e-01 2.1724070608615875e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 321 4.5299702323973179e-03</internalNodes>
-          <leafValues>
-            4.5860350131988525e-02 -5.3767031431198120e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 322 4.0295510552823544e-03</internalNodes>
-          <leafValues>
-            5.9907138347625732e-02 -5.8030951023101807e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 323 9.0281656011939049e-03</internalNodes>
-          <leafValues>
-            -8.8961161673069000e-02 3.4740069508552551e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 324 -7.1099460124969482e-02</internalNodes>
-          <leafValues>
-            4.0032050013542175e-01 -8.7675258517265320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 325 -9.0507879853248596e-02</internalNodes>
-          <leafValues>
-            3.2023850083351135e-01 -1.1072800308465958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 326 3.9499148726463318e-01</internalNodes>
-          <leafValues>
-            -5.4482270032167435e-02 4.3765610456466675e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 327 6.0021281242370605e-03</internalNodes>
-          <leafValues>
-            4.1296858340501785e-02 -6.2775158882141113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 328 -1.2675330042839050e-02</internalNodes>
-          <leafValues>
-            1.8643060326576233e-01 -1.5865950286388397e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 329 5.2523188060149550e-04</internalNodes>
-          <leafValues>
-            -7.3780946433544159e-02 1.1318250000476837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 330 1.5198530256748199e-01</internalNodes>
-          <leafValues>
-            -6.9850206375122070e-02 5.5264592170715332e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 331 -5.9174448251724243e-03</internalNodes>
-          <leafValues>
-            -4.2243769764900208e-01 2.3429270833730698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 332 5.1085697486996651e-04</internalNodes>
-          <leafValues>
-            -1.7821140587329865e-01 1.7475420236587524e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 333 -2.8626650571823120e-02</internalNodes>
-          <leafValues>
-            -7.8067898750305176e-01 4.3033521622419357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 334 3.2388539984822273e-03</internalNodes>
-          <leafValues>
-            -1.1748749762773514e-01 2.3013429343700409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 335 -6.8310899659991264e-03</internalNodes>
-          <leafValues>
-            -5.1702737808227539e-01 2.2477060556411743e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 336 -1.3818129897117615e-01</internalNodes>
-          <leafValues>
-            -6.7183071374893188e-01 3.3945839852094650e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 337 1.2902930378913879e-02</internalNodes>
-          <leafValues>
-            1.9041150808334351e-02 -4.7392490506172180e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 338 6.3398052006959915e-03</internalNodes>
-          <leafValues>
-            4.1281130164861679e-02 -5.8211308717727661e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 339 8.4067512943875045e-05</internalNodes>
-          <leafValues>
-            -2.3016390204429626e-01 1.2408539652824402e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 340 1.7238859087228775e-02</internalNodes>
-          <leafValues>
-            5.3966581821441650e-02 -5.8185648918151855e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 341 -7.8677326440811157e-02</internalNodes>
-          <leafValues>
-            -4.0611150860786438e-01 5.6923508644104004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 342 5.5859591811895370e-03</internalNodes>
-          <leafValues>
-            3.6842439323663712e-02 -5.6468677520751953e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 343 -6.1322399415075779e-04</internalNodes>
-          <leafValues>
-            1.7850470542907715e-01 -6.6888310015201569e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 344 7.9400849062949419e-04</internalNodes>
-          <leafValues>
-            -7.8397832810878754e-02 3.0545571446418762e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 345 1.2827199883759022e-02</internalNodes>
-          <leafValues>
-            4.0437459945678711e-02 -6.4795708656311035e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 346 1.1977979913353920e-02</internalNodes>
-          <leafValues>
-            -9.9379159510135651e-02 2.2672760486602783e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 347 -4.9378769472241402e-03</internalNodes>
-          <leafValues>
-            2.7063280344009399e-01 -8.3922103047370911e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 348 2.0337730646133423e-02</internalNodes>
-          <leafValues>
-            4.0057111531496048e-02 -6.1709612607955933e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 349 -1.5826310217380524e-01</internalNodes>
-          <leafValues>
-            3.7180110812187195e-01 -7.7644877135753632e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 350 4.5150578953325748e-03</internalNodes>
-          <leafValues>
-            -1.4245720207691193e-01 1.9468970596790314e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 351 -1.7942169681191444e-02</internalNodes>
-          <leafValues>
-            -7.2584807872772217e-01 2.9234779998660088e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 352 5.2153151482343674e-03</internalNodes>
-          <leafValues>
-            4.6004150062799454e-02 -4.5367568731307983e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 353 -7.7863838523626328e-03</internalNodes>
-          <leafValues>
-            1.7464269697666168e-01 -1.0989809781312943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 354 9.4133447855710983e-03</internalNodes>
-          <leafValues>
-            3.4647628664970398e-02 -5.9836661815643311e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 355 7.6218741014599800e-03</internalNodes>
-          <leafValues>
-            -1.0570260137319565e-01 2.0373369753360748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 356 2.1601879969239235e-02</internalNodes>
-          <leafValues>
-            -9.0930342674255371e-02 2.8870388865470886e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 357 -1.1823089793324471e-02</internalNodes>
-          <leafValues>
-            -6.3036149740219116e-01 2.4082619696855545e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 358 -2.0232979208230972e-02</internalNodes>
-          <leafValues>
-            -7.4202787876129150e-01 2.3521220311522484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 359 6.4510147785767913e-04</internalNodes>
-          <leafValues>
-            -5.5255789309740067e-02 1.6501660645008087e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 360 -8.1876022741198540e-03</internalNodes>
-          <leafValues>
-            -5.7709318399429321e-01 3.5234641283750534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 361 -4.5044958824291825e-04</internalNodes>
-          <leafValues>
-            1.8597809970378876e-01 -8.2436777651309967e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 362 -2.7309779077768326e-02</internalNodes>
-          <leafValues>
-            -7.2045487165451050e-01 2.7683850377798080e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 363 7.3051019571721554e-03</internalNodes>
-          <leafValues>
-            -7.5815990567207336e-02 1.2281800061464310e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 364 7.2118180105462670e-04</internalNodes>
-          <leafValues>
-            -8.4706626832485199e-02 2.2123050689697266e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 365 -5.5794708896428347e-04</internalNodes>
-          <leafValues>
-            9.2200443148612976e-02 -5.1267310976982117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 366 -1.2906070332974195e-03</internalNodes>
-          <leafValues>
-            2.3648509383201599e-01 -8.5636742413043976e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 367 -2.3440949618816376e-02</internalNodes>
-          <leafValues>
-            -3.4175920486450195e-01 3.0355690047144890e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 368 6.7003733420278877e-05</internalNodes>
-          <leafValues>
-            -1.7783120274543762e-01 1.0983660072088242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 369 -2.0913260523229837e-03</internalNodes>
-          <leafValues>
-            -3.2965481281280518e-01 4.8821929842233658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 370 5.2883368916809559e-03</internalNodes>
-          <leafValues>
-            4.7602079808712006e-02 -4.2296901345252991e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 371 1.0467220097780228e-01</internalNodes>
-          <leafValues>
-            1.4557709917426109e-02 -5.1639598608016968e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 372 4.1093688458204269e-02</internalNodes>
-          <leafValues>
-            2.5569459423422813e-02 -6.7345750331878662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 373 4.5452991127967834e-01</internalNodes>
-          <leafValues>
-            -4.7321271151304245e-02 4.6472591161727905e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 374 -4.4200271368026733e-03</internalNodes>
-          <leafValues>
-            2.1729059517383575e-01 -8.0523736774921417e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 375 -3.3253689762204885e-03</internalNodes>
-          <leafValues>
-            1.1963640153408051e-01 -8.4737166762351990e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 376 1.5223690308630466e-02</internalNodes>
-          <leafValues>
-            -8.9243628084659576e-02 2.2841119766235352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 377 -3.1223909929394722e-02</internalNodes>
-          <leafValues>
-            1.4642609655857086e-01 -1.0129989683628082e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 378 -7.2967536747455597e-02</internalNodes>
-          <leafValues>
-            1.9779099524021149e-01 -9.9804528057575226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 379 4.3468710035085678e-02</internalNodes>
-          <leafValues>
-            -7.3893286287784576e-02 1.5711790323257446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 380 7.7427257783710957e-03</internalNodes>
-          <leafValues>
-            -9.0792253613471985e-02 2.4496759474277496e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 381 -8.3488449454307556e-02</internalNodes>
-          <leafValues>
-            1.7328590154647827e-01 -1.2881289422512054e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 382 4.2111508548259735e-02</internalNodes>
-          <leafValues>
-            -1.4753210544586182e-01 1.3734489679336548e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 383 9.6673727035522461e-02</internalNodes>
-          <leafValues>
-            -5.5196139961481094e-02 3.5633039474487305e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 384 -8.8993981480598450e-03</internalNodes>
-          <leafValues>
-            -5.2619308233261108e-01 3.8890600204467773e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 385 -2.3850830271840096e-02</internalNodes>
-          <leafValues>
-            1.9245590269565582e-01 -1.0501539707183838e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 386 -7.4902130290865898e-04</internalNodes>
-          <leafValues>
-            2.4767409265041351e-01 -7.3859728872776031e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 387 -2.3048849776387215e-02</internalNodes>
-          <leafValues>
-            -5.2203482389450073e-01 2.9538379982113838e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 388 5.7920900871977210e-04</internalNodes>
-          <leafValues>
-            -8.0705501139163971e-02 2.4939849972724915e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 389 -2.5435430929064751e-02</internalNodes>
-          <leafValues>
-            -6.5204900503158569e-01 1.6328070312738419e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 390 1.7639160156250000e-02</internalNodes>
-          <leafValues>
-            2.4694919586181641e-02 -6.8505227565765381e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 391 2.0535739138722420e-02</internalNodes>
-          <leafValues>
-            1.6518220305442810e-02 -4.2852258682250977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 392 1.1113280430436134e-02</internalNodes>
-          <leafValues>
-            -8.7159179151058197e-02 2.0620019733905792e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>73</maxWeakCount>
-      <stageThreshold>-1.3217060565948486e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 393 1.4061849564313889e-02</internalNodes>
-          <leafValues>
-            -2.7372831106185913e-01 4.0178298950195312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 394 -3.3424530178308487e-02</internalNodes>
-          <leafValues>
-            3.4338641166687012e-01 -1.5240709483623505e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 395 -3.3982729073613882e-03</internalNodes>
-          <leafValues>
-            3.0461141467094421e-01 -2.1628560125827789e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 396 6.7393951117992401e-02</internalNodes>
-          <leafValues>
-            -5.3956210613250732e-02 3.3049640059471130e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 397 -5.1544748246669769e-02</internalNodes>
-          <leafValues>
-            3.8040369749069214e-01 -1.3342610001564026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 398 3.6630779504776001e-03</internalNodes>
-          <leafValues>
-            -1.7602029442787170e-01 2.1399669349193573e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 399 7.8836623579263687e-03</internalNodes>
-          <leafValues>
-            5.7061620056629181e-02 -5.1507431268692017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 400 -8.9480048045516014e-03</internalNodes>
-          <leafValues>
-            2.2309969365596771e-01 -1.1905369907617569e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 401 -5.5760587565600872e-04</internalNodes>
-          <leafValues>
-            9.9965967237949371e-02 -2.5582858920097351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 402 9.5389392226934433e-03</internalNodes>
-          <leafValues>
-            -6.5531507134437561e-02 3.2462659478187561e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 403 7.7904132194817066e-03</internalNodes>
-          <leafValues>
-            4.5026030391454697e-02 -6.0688591003417969e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 404 4.0692770853638649e-03</internalNodes>
-          <leafValues>
-            -6.2474351376295090e-02 1.5706950426101685e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 405 3.1110940035432577e-03</internalNodes>
-          <leafValues>
-            -7.4468009173870087e-02 2.6008018851280212e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 406 1.5651449561119080e-02</internalNodes>
-          <leafValues>
-            2.5566350668668747e-02 -5.1725232601165771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 407 2.0446130633354187e-01</internalNodes>
-          <leafValues>
-            -7.6343096792697906e-02 3.3239069581031799e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 408 -1.0169159621000290e-02</internalNodes>
-          <leafValues>
-            1.6066810488700867e-01 -1.0915979743003845e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 409 1.8947809934616089e-01</internalNodes>
-          <leafValues>
-            5.3859941661357880e-02 -5.3987598419189453e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 410 -1.4792400598526001e-01</internalNodes>
-          <leafValues>
-            2.3854659497737885e-01 -1.1328209936618805e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 411 -1.4830310642719269e-01</internalNodes>
-          <leafValues>
-            3.6465111374855042e-01 -7.5315676629543304e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 412 -1.3255329430103302e-01</internalNodes>
-          <leafValues>
-            2.9195559024810791e-01 -9.4944156706333160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 413 -1.6390170902013779e-02</internalNodes>
-          <leafValues>
-            3.9205119013786316e-01 -6.8502128124237061e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 414 -6.3240979798138142e-03</internalNodes>
-          <leafValues>
-            -6.6337722539901733e-01 3.3776801079511642e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 415 1.4740950427949429e-02</internalNodes>
-          <leafValues>
-            4.3142370879650116e-02 -5.0169318914413452e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 416 1.7102040350437164e-02</internalNodes>
-          <leafValues>
-            -1.7399680614471436e-01 2.0360749959945679e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 417 -7.5232060626149178e-03</internalNodes>
-          <leafValues>
-            2.6142400503158569e-01 -8.9473031461238861e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 418 8.0899456515908241e-03</internalNodes>
-          <leafValues>
-            4.9131639301776886e-02 -3.8692459464073181e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 419 -1.1191490106284618e-02</internalNodes>
-          <leafValues>
-            -7.1513938903808594e-01 2.9279340058565140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 420 -6.4855492382775992e-05</internalNodes>
-          <leafValues>
-            1.1478959769010544e-01 -1.1958249658346176e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 421 2.6316290721297264e-02</internalNodes>
-          <leafValues>
-            2.6085929945111275e-02 -8.0710291862487793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 422 -1.3249419629573822e-02</internalNodes>
-          <leafValues>
-            -3.2114431262016296e-01 7.5486088171601295e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 423 6.2180599197745323e-03</internalNodes>
-          <leafValues>
-            5.5559240281581879e-02 -4.0652489662170410e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 424 1.7249800264835358e-01</internalNodes>
-          <leafValues>
-            4.0750358253717422e-02 -5.0563377141952515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 425 -2.1679839119315147e-02</internalNodes>
-          <leafValues>
-            -6.2354528903961182e-01 2.6478029787540436e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 426 1.6703149303793907e-02</internalNodes>
-          <leafValues>
-            -1.3794849812984467e-01 1.3749359548091888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 427 -9.0457811951637268e-02</internalNodes>
-          <leafValues>
-            2.3645150661468506e-01 -8.2285732030868530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 428 -3.1922020018100739e-02</internalNodes>
-          <leafValues>
-            2.5785401463508606e-01 -4.7243330627679825e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 429 -1.0785860009491444e-02</internalNodes>
-          <leafValues>
-            1.9156840443611145e-01 -1.0926260054111481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 430 1.5356860123574734e-02</internalNodes>
-          <leafValues>
-            -9.1598026454448700e-02 1.4929470419883728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 431 -2.9838619753718376e-02</internalNodes>
-          <leafValues>
-            3.6931860446929932e-01 -6.9861568510532379e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 432 1.5088700456544757e-03</internalNodes>
-          <leafValues>
-            -6.8405367434024811e-02 1.1674939841032028e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 433 -3.9159361273050308e-02</internalNodes>
-          <leafValues>
-            -5.1392030715942383e-01 3.7696298211812973e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 434 9.6957627683877945e-03</internalNodes>
-          <leafValues>
-            1.7815299332141876e-02 -4.6859109401702881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 435 7.2683161124587059e-04</internalNodes>
-          <leafValues>
-            -1.3107830286026001e-01 1.5749000012874603e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 436 3.9894571527838707e-03</internalNodes>
-          <leafValues>
-            4.5223500579595566e-02 -4.2377158999443054e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 437 -5.1600970327854156e-03</internalNodes>
-          <leafValues>
-            -5.1509988307952881e-01 3.4805640578269958e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 438 -2.3738930001854897e-02</internalNodes>
-          <leafValues>
-            2.2136999666690826e-01 -8.4229230880737305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 439 1.4563770033419132e-02</internalNodes>
-          <leafValues>
-            -8.9808702468872070e-02 2.1864689886569977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 440 7.2849658317863941e-04</internalNodes>
-          <leafValues>
-            -7.0903539657592773e-02 1.2049960345029831e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 441 -3.1149860471487045e-02</internalNodes>
-          <leafValues>
-            -6.0673481225967407e-01 2.9479870572686195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 442 1.6768559813499451e-02</internalNodes>
-          <leafValues>
-            2.3652590811252594e-02 -4.1640669107437134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 443 -8.9033348485827446e-03</internalNodes>
-          <leafValues>
-            -5.5360221862792969e-01 3.0212569981813431e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 444 5.3961132653057575e-04</internalNodes>
-          <leafValues>
-            -5.8847390115261078e-02 1.5313039720058441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 445 -8.3886012434959412e-03</internalNodes>
-          <leafValues>
-            -7.0527809858322144e-01 2.5097940117120743e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 446 -3.4085000515915453e-04</internalNodes>
-          <leafValues>
-            1.7718690633773804e-01 -1.0484679788351059e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 447 6.1828009784221649e-03</internalNodes>
-          <leafValues>
-            3.3038828521966934e-02 -4.9485749006271362e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 448 8.2702568033710122e-04</internalNodes>
-          <leafValues>
-            -1.8448309600353241e-01 7.7788598835468292e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 449 -6.0980831040069461e-04</internalNodes>
-          <leafValues>
-            1.9595789909362793e-01 -8.3752043545246124e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 450 1.2273030006326735e-04</internalNodes>
-          <leafValues>
-            -8.1470809876918793e-02 1.2093000113964081e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 451 4.6565610682591796e-04</internalNodes>
-          <leafValues>
-            -9.5331951975822449e-02 2.2882999479770660e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 452 -2.1647799760103226e-02</internalNodes>
-          <leafValues>
-            -6.9338059425354004e-01 1.7061540856957436e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 453 5.9500660747289658e-02</internalNodes>
-          <leafValues>
-            5.2603170275688171e-02 -2.7821978926658630e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 454 2.5365199893712997e-02</internalNodes>
-          <leafValues>
-            8.9954538270831108e-03 -6.3834899663925171e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 455 -3.9667091332376003e-03</internalNodes>
-          <leafValues>
-            -3.1752720475196838e-01 4.7011289745569229e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 456 8.2784779369831085e-03</internalNodes>
-          <leafValues>
-            -5.4444059729576111e-02 2.2199389338493347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 457 -2.2125450894236565e-02</internalNodes>
-          <leafValues>
-            -6.7381507158279419e-01 2.2545639425516129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 458 -1.8015919253230095e-02</internalNodes>
-          <leafValues>
-            1.9720579683780670e-01 -4.1927978396415710e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 459 8.4426235407590866e-03</internalNodes>
-          <leafValues>
-            -6.0547191649675369e-02 2.6492148637771606e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 460 -3.2566841691732407e-02</internalNodes>
-          <leafValues>
-            -7.1072858572006226e-01 1.1840609833598137e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 461 -4.7655492089688778e-03</internalNodes>
-          <leafValues>
-            1.3843970000743866e-01 -1.1505319923162460e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 462 5.6936290115118027e-02</internalNodes>
-          <leafValues>
-            -6.1339709907770157e-02 2.6656940579414368e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 463 1.3741460442543030e-01</internalNodes>
-          <leafValues>
-            -1.1396790295839310e-01 1.7893630266189575e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 464 3.4123009536415339e-03</internalNodes>
-          <leafValues>
-            -6.6894076764583588e-02 2.5956168770790100e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 465 1.1629019863903522e-02</internalNodes>
-          <leafValues>
-            -1.3462069630622864e-01 1.5184959769248962e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>102</maxWeakCount>
-      <stageThreshold>-1.4393190145492554e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 466 -3.0265800654888153e-02</internalNodes>
-          <leafValues>
-            3.8096681237220764e-01 -1.3377699255943298e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 467 -1.8889939785003662e-01</internalNodes>
-          <leafValues>
-            3.4722200036048889e-01 -1.1434909701347351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 468 4.4756601564586163e-03</internalNodes>
-          <leafValues>
-            -1.7790019512176514e-01 1.9837200641632080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 469 -9.2559102922677994e-03</internalNodes>
-          <leafValues>
-            2.5532960891723633e-01 -9.5685683190822601e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 470 1.0375189594924450e-02</internalNodes>
-          <leafValues>
-            -1.2901009619235992e-01 2.0472739636898041e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 471 2.5273600220680237e-01</internalNodes>
-          <leafValues>
-            -7.7913478016853333e-02 3.4137108922004700e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 472 7.9952310770750046e-03</internalNodes>
-          <leafValues>
-            1.1916679888963699e-01 -4.1383698582649231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 473 6.6510503529570997e-05</internalNodes>
-          <leafValues>
-            -2.3053060472011566e-01 1.3289320468902588e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 474 1.0429739952087402e-02</internalNodes>
-          <leafValues>
-            -6.2206111848354340e-02 2.9351210594177246e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 475 -9.4513092190027237e-03</internalNodes>
-          <leafValues>
-            1.6715039312839508e-01 -1.1613100022077560e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 476 -1.3863059878349304e-01</internalNodes>
-          <leafValues>
-            -4.5146858692169189e-01 7.2572976350784302e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 477 -1.5423299744725227e-02</internalNodes>
-          <leafValues>
-            -4.2771181464195251e-01 2.4840919300913811e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 478 -6.5782992169260979e-03</internalNodes>
-          <leafValues>
-            -6.5407878160476685e-01 4.0261831134557724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 479 -6.8917557655368000e-05</internalNodes>
-          <leafValues>
-            2.0682600140571594e-01 -1.1952479928731918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 480 7.1416288847103715e-05</internalNodes>
-          <leafValues>
-            -1.6258999705314636e-01 1.5189890563488007e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 481 1.3548660278320312e-01</internalNodes>
-          <leafValues>
-            -5.0455428659915924e-02 4.7124901413917542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 482 1.1286230292171240e-03</internalNodes>
-          <leafValues>
-            -1.9349409639835358e-01 1.4920289814472198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 483 3.7687130272388458e-02</internalNodes>
-          <leafValues>
-            -6.5130472648888826e-04 -5.5662167072296143e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 484 -1.7772499471902847e-02</internalNodes>
-          <leafValues>
-            -5.7330471277236938e-01 4.6251270920038223e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 485 -1.4152459800243378e-02</internalNodes>
-          <leafValues>
-            -7.9059988260269165e-01 1.5357020311057568e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 486 -1.9447410479187965e-02</internalNodes>
-          <leafValues>
-            2.1232390403747559e-01 -1.0219439864158630e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 487 1.2915019877254963e-02</internalNodes>
-          <leafValues>
-            -7.8864462673664093e-02 1.4578649401664734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 488 7.7283121645450592e-03</internalNodes>
-          <leafValues>
-            -1.3381069898605347e-01 2.0553180575370789e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 489 -2.6421029120683670e-02</internalNodes>
-          <leafValues>
-            2.7290409803390503e-01 -8.4103830158710480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 490 -2.1642580628395081e-02</internalNodes>
-          <leafValues>
-            2.1656160056591034e-01 -9.9797606468200684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 491 -1.8604170531034470e-02</internalNodes>
-          <leafValues>
-            3.1678178906440735e-01 -6.8464621901512146e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 492 7.9184472560882568e-03</internalNodes>
-          <leafValues>
-            3.8932591676712036e-02 -5.8496218919754028e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 493 -9.0868779807351530e-05</internalNodes>
-          <leafValues>
-            1.1835379898548126e-01 -2.6939970254898071e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 494 -6.3271610997617245e-05</internalNodes>
-          <leafValues>
-            1.4836210012435913e-01 -1.4140149950981140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 495 3.0123859178274870e-03</internalNodes>
-          <leafValues>
-            4.7559700906276703e-02 -3.1680768728256226e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 496 2.0202860236167908e-02</internalNodes>
-          <leafValues>
-            3.6336939781904221e-02 -4.9587869644165039e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 497 6.8112947046756744e-02</internalNodes>
-          <leafValues>
-            -6.3601806759834290e-02 3.7456488609313965e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 498 -6.1344921588897705e-02</internalNodes>
-          <leafValues>
-            3.7039840221405029e-01 -6.2690317630767822e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 499 -2.3922309279441833e-02</internalNodes>
-          <leafValues>
-            -3.4753319621086121e-01 5.6829240173101425e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 500 4.4279401190578938e-03</internalNodes>
-          <leafValues>
-            3.1897440552711487e-02 -5.0859087705612183e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 501 -9.2366456985473633e-02</internalNodes>
-          <leafValues>
-            -4.8896598815917969e-01 9.9938698112964630e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 502 -3.1878310255706310e-03</internalNodes>
-          <leafValues>
-            8.5749432444572449e-02 -2.3823440074920654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 503 6.2605291604995728e-03</internalNodes>
-          <leafValues>
-            2.4412810802459717e-02 -5.5001372098922729e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 504 2.1717049181461334e-02</internalNodes>
-          <leafValues>
-            -8.4798701107501984e-02 2.1824799478054047e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 505 1.0295960120856762e-02</internalNodes>
-          <leafValues>
-            -1.0329149663448334e-01 1.9458709657192230e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 506 1.2149630114436150e-02</internalNodes>
-          <leafValues>
-            3.2223898917436600e-02 -5.9328657388687134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 507 1.9116830080747604e-02</internalNodes>
-          <leafValues>
-            3.0940750613808632e-02 -4.5388719439506531e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 508 7.1067700628191233e-04</internalNodes>
-          <leafValues>
-            -1.5458069741725922e-01 1.2622979283332825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 509 -2.9427420347929001e-02</internalNodes>
-          <leafValues>
-            2.0704819262027740e-01 -8.6181886494159698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 510 -3.7067469675093889e-03</internalNodes>
-          <leafValues>
-            -5.1559269428253174e-01 3.8358908146619797e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 511 6.0146670875838026e-05</internalNodes>
-          <leafValues>
-            -1.0236179828643799e-01 8.8405437767505646e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 512 -6.8713612563442439e-05</internalNodes>
-          <leafValues>
-            1.9844369590282440e-01 -9.9444359540939331e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 513 -8.4833398461341858e-02</internalNodes>
-          <leafValues>
-            -3.9009338617324829e-01 3.9758160710334778e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 514 1.1545339599251747e-02</internalNodes>
-          <leafValues>
-            2.9910489916801453e-02 -5.0215488672256470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 515 1.2721769744530320e-03</internalNodes>
-          <leafValues>
-            3.5788349807262421e-02 -3.8562840223312378e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 516 3.7894061207771301e-01</internalNodes>
-          <leafValues>
-            4.2915120720863342e-02 -3.7268239259719849e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 517 5.8728668838739395e-02</internalNodes>
-          <leafValues>
-            1.7506660893559456e-02 -7.1293348073959351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 518 -7.2667418862693012e-05</internalNodes>
-          <leafValues>
-            8.5237413644790649e-02 -1.7960679531097412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 519 -2.5661939289420843e-03</internalNodes>
-          <leafValues>
-            -4.9419000744819641e-01 2.1106749773025513e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 520 -6.2544771935790777e-05</internalNodes>
-          <leafValues>
-            1.2607279419898987e-01 -1.3581070303916931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 521 -3.3382088877260685e-03</internalNodes>
-          <leafValues>
-            -3.4254759550094604e-01 3.1329080462455750e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 522 4.0032588876783848e-03</internalNodes>
-          <leafValues>
-            3.5334181040525436e-02 -4.7854140400886536e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 523 7.8725446655880660e-05</internalNodes>
-          <leafValues>
-            -8.6509391665458679e-02 1.0980690270662308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 524 3.5411381395533681e-04</internalNodes>
-          <leafValues>
-            -8.6622327566146851e-02 1.8158109486103058e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 525 -1.0032930225133896e-01</internalNodes>
-          <leafValues>
-            -4.1181001067161560e-01 4.0799010545015335e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 526 4.5734178274869919e-02</internalNodes>
-          <leafValues>
-            2.5063000619411469e-02 -5.8010631799697876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 527 1.4357109554111958e-02</internalNodes>
-          <leafValues>
-            2.7373999357223511e-02 -3.1119069457054138e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 528 4.2823958210647106e-03</internalNodes>
-          <leafValues>
-            -1.2122060358524323e-01 1.3006800413131714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 529 -1.9169269129633904e-02</internalNodes>
-          <leafValues>
-            3.5471150279045105e-01 -5.8697901666164398e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 530 2.0371939986944199e-02</internalNodes>
-          <leafValues>
-            2.7047039940953255e-02 -6.2161028385162354e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 531 -1.1981659568846226e-02</internalNodes>
-          <leafValues>
-            1.7628869414329529e-01 -9.4315692782402039e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 532 -9.4278322649188340e-05</internalNodes>
-          <leafValues>
-            1.5070499479770660e-01 -1.0712909698486328e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 533 1.0182280093431473e-02</internalNodes>
-          <leafValues>
-            1.6143349930644035e-02 -3.5039150714874268e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 534 -5.2059080451726913e-02</internalNodes>
-          <leafValues>
-            -3.1214600801467896e-01 4.7784190624952316e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 535 -2.4943469092249870e-02</internalNodes>
-          <leafValues>
-            -7.9333961009979248e-01 -4.0430951048620045e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 536 -6.2259827973321080e-04</internalNodes>
-          <leafValues>
-            2.0438310503959656e-01 -7.1274451911449432e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 537 -5.6859298638300970e-05</internalNodes>
-          <leafValues>
-            8.6150057613849640e-02 -6.5871208906173706e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 538 4.0834350511431694e-04</internalNodes>
-          <leafValues>
-            -1.0517060011625290e-01 2.2246970236301422e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 539 -1.1075460352003574e-03</internalNodes>
-          <leafValues>
-            4.6430539339780807e-02 -3.1908679753541946e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 540 -1.2366239912807941e-02</internalNodes>
-          <leafValues>
-            -6.2071430683135986e-01 2.6164690032601357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 541 -3.5476218909025192e-02</internalNodes>
-          <leafValues>
-            1.2305829674005508e-01 -5.1929820328950882e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 542 -2.3794448934495449e-03</internalNodes>
-          <leafValues>
-            -3.7954199314117432e-01 4.1748851537704468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 543 1.3966970145702362e-03</internalNodes>
-          <leafValues>
-            -8.5148677229881287e-02 1.5120379626750946e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 544 5.1437891088426113e-03</internalNodes>
-          <leafValues>
-            -8.1664428114891052e-02 1.7895880341529846e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 545 -1.2399390339851379e-01</internalNodes>
-          <leafValues>
-            -6.6589808464050293e-01 9.5204189419746399e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 546 3.9390850812196732e-02</internalNodes>
-          <leafValues>
-            1.8253650516271591e-02 -7.6372909545898438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 547 2.9372270219027996e-03</internalNodes>
-          <leafValues>
-            2.2626129910349846e-02 -3.2338750362396240e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 548 1.8166509270668030e-01</internalNodes>
-          <leafValues>
-            -6.1867389827966690e-02 2.2989329695701599e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 549 8.9275211095809937e-02</internalNodes>
-          <leafValues>
-            -8.4801591932773590e-02 2.1090969443321228e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 550 1.7920130863785744e-02</internalNodes>
-          <leafValues>
-            -6.6390097141265869e-02 2.2434620559215546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 551 5.5024111643433571e-03</internalNodes>
-          <leafValues>
-            -5.5913619697093964e-02 1.0791579633951187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 552 -1.2631840072572231e-02</internalNodes>
-          <leafValues>
-            3.3521848917007446e-01 -4.7069478780031204e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 553 8.2040186971426010e-03</internalNodes>
-          <leafValues>
-            5.2167478948831558e-02 -5.8306807279586792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 554 2.1543860435485840e-02</internalNodes>
-          <leafValues>
-            1.0371980257332325e-02 -8.1690818071365356e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 555 -4.2779878713190556e-03</internalNodes>
-          <leafValues>
-            -3.4370610117912292e-01 3.4835658967494965e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 556 9.5721762627363205e-03</internalNodes>
-          <leafValues>
-            1.6037449240684509e-02 -7.5921469926834106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 557 5.9499992057681084e-03</internalNodes>
-          <leafValues>
-            -8.3513863384723663e-02 9.3756176531314850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 558 -8.6880378425121307e-02</internalNodes>
-          <leafValues>
-            1.9779199361801147e-01 -7.3568522930145264e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 559 5.7690730318427086e-03</internalNodes>
-          <leafValues>
-            -6.1134330928325653e-02 8.2671441137790680e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 560 1.4806459844112396e-01</internalNodes>
-          <leafValues>
-            3.9653290063142776e-02 -4.0852621197700500e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 561 -1.8668269738554955e-02</internalNodes>
-          <leafValues>
-            -6.6713011264801025e-01 1.5644509345293045e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 562 1.0142670013010502e-02</internalNodes>
-          <leafValues>
-            2.1148789674043655e-02 -5.6108218431472778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 563 -2.6263110339641571e-03</internalNodes>
-          <leafValues>
-            8.8142313063144684e-02 -5.8600831776857376e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 564 3.0406240839511156e-03</internalNodes>
-          <leafValues>
-            -6.9973178207874298e-02 1.9421130418777466e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 565 -4.0523111820220947e-03</internalNodes>
-          <leafValues>
-            -3.9898431301116943e-01 2.8451900929212570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 566 3.3293411252088845e-04</internalNodes>
-          <leafValues>
-            -9.2018708586692810e-02 1.5213729441165924e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 567 -1.4471479516942054e-04</internalNodes>
-          <leafValues>
-            1.3288819789886475e-01 -8.6978733539581299e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>115</maxWeakCount>
-      <stageThreshold>-1.3500690460205078e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 568 -3.0528889968991280e-02</internalNodes>
-          <leafValues>
-            3.3611279726028442e-01 -1.6058790683746338e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 569 -6.8238358944654465e-03</internalNodes>
-          <leafValues>
-            2.5108391046524048e-01 -2.5783839821815491e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 570 -2.6070050895214081e-02</internalNodes>
-          <leafValues>
-            3.1767010688781738e-01 -1.1115620285272598e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 571 1.6021650517359376e-03</internalNodes>
-          <leafValues>
-            -1.0961770266294479e-01 1.5613310039043427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 572 -3.4617539495229721e-02</internalNodes>
-          <leafValues>
-            2.6143959164619446e-01 -9.5556437969207764e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 573 8.2549892365932465e-02</internalNodes>
-          <leafValues>
-            -3.5977210849523544e-02 3.1897369027137756e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 574 -1.0799080133438110e-01</internalNodes>
-          <leafValues>
-            -4.6619871258735657e-01 9.6537977457046509e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 575 -7.1096293628215790e-02</internalNodes>
-          <leafValues>
-            -3.2909411191940308e-01 2.0170759409666061e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 576 6.1022722721099854e-01</internalNodes>
-          <leafValues>
-            -4.1085191071033478e-02 5.9197807312011719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 577 -9.6180485561490059e-03</internalNodes>
-          <leafValues>
-            1.8453270196914673e-01 -1.2569570541381836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 578 -2.1656749770045280e-02</internalNodes>
-          <leafValues>
-            3.5588631033897400e-01 -6.5419547259807587e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 579 3.2288730144500732e-03</internalNodes>
-          <leafValues>
-            -1.5971140563488007e-01 1.4421769976615906e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 580 3.6023850552737713e-03</internalNodes>
-          <leafValues>
-            -1.3012659549713135e-01 1.8485300242900848e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 581 1.2242549657821655e-01</internalNodes>
-          <leafValues>
-            -5.0962008535861969e-02 4.7872740030288696e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 582 -3.9816841483116150e-02</internalNodes>
-          <leafValues>
-            1.9110150635242462e-01 -1.4904150366783142e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 583 1.6565460711717606e-02</internalNodes>
-          <leafValues>
-            2.5038570165634155e-02 -2.6608109474182129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 584 6.7314971238374710e-03</internalNodes>
-          <leafValues>
-            3.6166220903396606e-02 -5.7512372732162476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 585 -2.3882629349827766e-02</internalNodes>
-          <leafValues>
-            1.8172420561313629e-01 -1.0134089738130569e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 586 1.6876630485057831e-02</internalNodes>
-          <leafValues>
-            4.9995709210634232e-02 -4.9644881486892700e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 587 8.1463292241096497e-02</internalNodes>
-          <leafValues>
-            5.0819691270589828e-02 -3.0929270386695862e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 588 1.5678660571575165e-01</internalNodes>
-          <leafValues>
-            -8.4641791880130768e-02 2.0975899696350098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 589 1.0736989788711071e-02</internalNodes>
-          <leafValues>
-            -5.8876618742942810e-02 2.6735648512840271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 590 -1.6250779852271080e-02</internalNodes>
-          <leafValues>
-            2.1858249604701996e-01 -1.2752789258956909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 591 -5.1399830728769302e-02</internalNodes>
-          <leafValues>
-            1.7071659862995148e-01 -5.6497618556022644e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 592 1.8661050125956535e-03</internalNodes>
-          <leafValues>
-            4.0338598191738129e-02 -4.7404500842094421e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 593 -4.9435410648584366e-02</internalNodes>
-          <leafValues>
-            1.5376000106334686e-01 -4.1785929352045059e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 594 6.9667182862758636e-02</internalNodes>
-          <leafValues>
-            -5.8853909373283386e-02 3.0999648571014404e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 595 -7.8118540346622467e-02</internalNodes>
-          <leafValues>
-            -4.1095170378684998e-01 5.2306879311800003e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 596 -8.6161941289901733e-03</internalNodes>
-          <leafValues>
-            -5.6689429283142090e-01 2.8680460527539253e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 597 6.8916371092200279e-03</internalNodes>
-          <leafValues>
-            -9.5778420567512512e-02 1.6806310415267944e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 598 8.4734419942833483e-05</internalNodes>
-          <leafValues>
-            -1.4760659635066986e-01 1.2780749797821045e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 599 -6.5460228361189365e-03</internalNodes>
-          <leafValues>
-            -5.3539127111434937e-01 2.1142380312085152e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 600 -1.1936970055103302e-02</internalNodes>
-          <leafValues>
-            2.4896189570426941e-01 -6.5905913710594177e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 601 1.6013499349355698e-02</internalNodes>
-          <leafValues>
-            -7.5163930654525757e-02 9.2000097036361694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 602 -1.7978820204734802e-01</internalNodes>
-          <leafValues>
-            3.1222209334373474e-01 -5.4680030792951584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 603 4.2936030030250549e-01</internalNodes>
-          <leafValues>
-            -4.6744249761104584e-02 4.6717110276222229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 604 1.7629809677600861e-01</internalNodes>
-          <leafValues>
-            -1.1967620253562927e-01 2.3036129772663116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 605 4.3498061597347260e-02</internalNodes>
-          <leafValues>
-            2.1376779302954674e-02 -3.4026959538459778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 606 1.6895519569516182e-02</internalNodes>
-          <leafValues>
-            -1.3055689632892609e-01 1.8340429663658142e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 607 1.8535379320383072e-02</internalNodes>
-          <leafValues>
-            -7.5424313545227051e-02 2.3549360036849976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 608 1.7329430207610130e-02</internalNodes>
-          <leafValues>
-            -8.5383981466293335e-02 2.0364040136337280e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 609 8.6630741134285927e-03</internalNodes>
-          <leafValues>
-            3.8591001182794571e-02 -6.2014609575271606e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 610 5.7052681222558022e-03</internalNodes>
-          <leafValues>
-            3.1247280538082123e-02 -4.0705290436744690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 611 -1.8030379433184862e-03</internalNodes>
-          <leafValues>
-            1.9578510522842407e-01 -1.4333669841289520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 612 -1.8787920475006104e-02</internalNodes>
-          <leafValues>
-            -8.6914187669754028e-01 1.6981970518827438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 613 1.8600920215249062e-02</internalNodes>
-          <leafValues>
-            -8.1815309822559357e-02 1.8913879990577698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 614 8.4120598330628127e-05</internalNodes>
-          <leafValues>
-            -1.2899120151996613e-01 1.2110509723424911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 615 -5.6057129986584187e-03</internalNodes>
-          <leafValues>
-            -4.6983009576797485e-01 1.5989070758223534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 616 3.5192570649087429e-03</internalNodes>
-          <leafValues>
-            3.6193020641803741e-02 -4.4841128587722778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 617 1.7741440096870065e-03</internalNodes>
-          <leafValues>
-            -4.3303471058607101e-02 1.3955749571323395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 618 -1.6350420191884041e-03</internalNodes>
-          <leafValues>
-            1.3950680196285248e-01 -1.1241529881954193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 619 6.4794770441949368e-03</internalNodes>
-          <leafValues>
-            -6.0051560401916504e-02 7.2894193232059479e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 620 -2.0324749872088432e-02</internalNodes>
-          <leafValues>
-            4.2978158593177795e-01 -3.9684608578681946e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 621 -6.3453041948378086e-03</internalNodes>
-          <leafValues>
-            -2.5338429212570190e-01 2.4293940514326096e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 622 9.0959975495934486e-03</internalNodes>
-          <leafValues>
-            3.4088779240846634e-02 -4.5187300443649292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 623 1.6163580119609833e-02</internalNodes>
-          <leafValues>
-            6.8225921131670475e-03 -7.2057378292083740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 624 -1.1229310184717178e-02</internalNodes>
-          <leafValues>
-            -6.1919862031936646e-01 2.2291479632258415e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 625 -1.7633280158042908e-01</internalNodes>
-          <leafValues>
-            -6.8191158771514893e-01 8.8407555595040321e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 626 1.9296240061521530e-02</internalNodes>
-          <leafValues>
-            -7.9629048705101013e-02 2.0130670070648193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 627 1.0565440170466900e-02</internalNodes>
-          <leafValues>
-            -8.3298452198505402e-02 1.8727609515190125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 628 -6.7616738379001617e-03</internalNodes>
-          <leafValues>
-            2.0695839822292328e-01 -8.1318996846675873e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 629 -2.3086878936737776e-03</internalNodes>
-          <leafValues>
-            -2.7981218695640564e-01 2.9389770701527596e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 630 -6.9189318455755711e-03</internalNodes>
-          <leafValues>
-            -5.0955861806869507e-01 2.9100190848112106e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 631 -1.9592609256505966e-02</internalNodes>
-          <leafValues>
-            1.2486959993839264e-01 -6.6669858992099762e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 632 -5.6698801927268505e-04</internalNodes>
-          <leafValues>
-            1.7725250124931335e-01 -7.5555630028247833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 633 6.5187108702957630e-04</internalNodes>
-          <leafValues>
-            -4.6831708401441574e-02 1.3773879408836365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 634 -4.3244438711553812e-04</internalNodes>
-          <leafValues>
-            1.7505480349063873e-01 -8.2217328250408173e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 635 3.2091289758682251e-03</internalNodes>
-          <leafValues>
-            2.5890430435538292e-02 -3.5460329055786133e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 636 -2.8899360448122025e-02</internalNodes>
-          <leafValues>
-            -7.3152142763137817e-01 1.8054809421300888e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 637 9.8803699074778706e-05</internalNodes>
-          <leafValues>
-            -3.8318630307912827e-02 3.4345138818025589e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 638 -2.2848090156912804e-03</internalNodes>
-          <leafValues>
-            -3.6034908890724182e-01 3.8051728159189224e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 639 2.2300830483436584e-01</internalNodes>
-          <leafValues>
-            -3.5387709736824036e-02 4.1186928749084473e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 640 3.8663020823150873e-03</internalNodes>
-          <leafValues>
-            -1.1479409784078598e-01 1.1966259777545929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 641 3.6781090311706066e-03</internalNodes>
-          <leafValues>
-            -8.8786207139492035e-02 2.0931220054626465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 642 3.6886930465698242e-03</internalNodes>
-          <leafValues>
-            4.2065251618623734e-02 -3.3116719126701355e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 643 -5.0008428096771240e-01</internalNodes>
-          <leafValues>
-            4.5823198556900024e-01 -3.0016450211405754e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 644 3.2457590568810701e-03</internalNodes>
-          <leafValues>
-            -5.8139480650424957e-02 2.2444559633731842e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 645 -7.2515371721237898e-04</internalNodes>
-          <leafValues>
-            8.5745699703693390e-02 -2.1644710004329681e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 646 7.5624123215675354e-02</internalNodes>
-          <leafValues>
-            -7.2869867086410522e-02 1.8093410134315491e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 647 -1.4011479914188385e-01</internalNodes>
-          <leafValues>
-            -3.0494970083236694e-01 3.2226338982582092e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 648 1.2914249673485756e-03</internalNodes>
-          <leafValues>
-            -1.6519309580326080e-01 7.9698972404003143e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 649 4.8063062131404877e-03</internalNodes>
-          <leafValues>
-            -5.1163140684366226e-02 1.5284930169582367e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 650 1.9700510427355766e-02</internalNodes>
-          <leafValues>
-            -2.1467920392751694e-02 5.8986312150955200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 651 -2.8246549889445305e-02</internalNodes>
-          <leafValues>
-            -3.6110070347785950e-01 2.1594600751996040e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 652 3.1838800758123398e-02</internalNodes>
-          <leafValues>
-            2.1388119086623192e-02 -5.5919158458709717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 653 5.2926959469914436e-03</internalNodes>
-          <leafValues>
-            1.7141470685601234e-02 -3.2453680038452148e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 654 9.3176206573843956e-03</internalNodes>
-          <leafValues>
-            -6.9147951900959015e-02 1.8778069317340851e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 655 1.9812679965980351e-04</internalNodes>
-          <leafValues>
-            -7.1025170385837555e-02 1.1662720143795013e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 656 1.7203340306878090e-02</internalNodes>
-          <leafValues>
-            -8.3476826548576355e-02 1.4484919607639313e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 657 8.0548562109470367e-03</internalNodes>
-          <leafValues>
-            2.1444449201226234e-02 -2.7631008625030518e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 658 6.7419088445603848e-03</internalNodes>
-          <leafValues>
-            3.4134138375520706e-02 -3.5553708672523499e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 659 5.7136920077027753e-05</internalNodes>
-          <leafValues>
-            -6.9932900369167328e-02 8.2227133214473724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 660 -6.0014430346200243e-05</internalNodes>
-          <leafValues>
-            1.5333159267902374e-01 -8.0194279551506042e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 661 -6.6377622715663165e-05</internalNodes>
-          <leafValues>
-            7.4058532714843750e-02 -4.3576911091804504e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 662 7.0605492510367185e-05</internalNodes>
-          <leafValues>
-            -1.1924110352993011e-01 1.1573670059442520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 663 7.2301438194699585e-05</internalNodes>
-          <leafValues>
-            -7.0231847465038300e-02 7.9363830387592316e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 664 -1.4867830323055387e-03</internalNodes>
-          <leafValues>
-            1.2457609921693802e-01 -1.0762879997491837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 665 -5.2434820681810379e-03</internalNodes>
-          <leafValues>
-            1.1167749762535095e-01 -6.1491239815950394e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 666 7.8055239282548428e-03</internalNodes>
-          <leafValues>
-            -4.9680050462484360e-02 3.0463930964469910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 667 1.6715789213776588e-02</internalNodes>
-          <leafValues>
-            2.4268470704555511e-02 -5.6414997577667236e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 668 -1.9779430702328682e-02</internalNodes>
-          <leafValues>
-            1.2931020557880402e-01 -1.0140080004930496e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 669 -6.7752218456007540e-05</internalNodes>
-          <leafValues>
-            7.7363066375255585e-02 -8.7603732943534851e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 670 -1.2943330220878124e-02</internalNodes>
-          <leafValues>
-            -8.6929148435592651e-01 1.5804219990968704e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 671 -1.2546810321509838e-02</internalNodes>
-          <leafValues>
-            -1.3507589697837830e-01 4.5630618929862976e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 672 7.9727862030267715e-03</internalNodes>
-          <leafValues>
-            4.0577929466962814e-02 -3.4091338515281677e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 673 -6.3152899965643883e-03</internalNodes>
-          <leafValues>
-            1.3729919493198395e-01 -5.6167159229516983e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 674 -3.6897659301757812e-03</internalNodes>
-          <leafValues>
-            1.6393260657787323e-01 -9.1416403651237488e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 675 5.0578881055116653e-03</internalNodes>
-          <leafValues>
-            -8.0079726874828339e-02 1.4337129890918732e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 676 -2.9933569952845573e-02</internalNodes>
-          <leafValues>
-            -5.3267621994018555e-01 2.2731220349669456e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 677 7.0810988545417786e-03</internalNodes>
-          <leafValues>
-            -7.3218218982219696e-02 1.0275089740753174e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 678 5.0813790410757065e-02</internalNodes>
-          <leafValues>
-            5.1686890423297882e-02 -2.5446221232414246e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 679 4.7044758684933186e-03</internalNodes>
-          <leafValues>
-            -5.7290758937597275e-02 7.6064832508563995e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 680 4.6408819034695625e-03</internalNodes>
-          <leafValues>
-            5.5998690426349640e-02 -2.1722699701786041e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 681 -9.5121748745441437e-03</internalNodes>
-          <leafValues>
-            1.8128600716590881e-01 -3.7724230438470840e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 682 2.5726249441504478e-03</internalNodes>
-          <leafValues>
-            -1.2384580075740814e-01 1.4219340682029724e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>128</maxWeakCount>
-      <stageThreshold>-1.3960490226745605e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 683 1.8433019518852234e-02</internalNodes>
-          <leafValues>
-            -1.6187410056591034e-01 3.3512639999389648e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 684 4.8202150501310825e-03</internalNodes>
-          <leafValues>
-            -9.7200833261013031e-02 2.7556920051574707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 685 2.1450810134410858e-02</internalNodes>
-          <leafValues>
-            -1.0136549919843674e-01 3.9221191406250000e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 686 2.0199500024318695e-02</internalNodes>
-          <leafValues>
-            -1.0415519773960114e-01 3.4857091307640076e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 687 1.5460439957678318e-02</internalNodes>
-          <leafValues>
-            -1.8147130310535431e-01 2.2965760529041290e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 688 1.2114670127630234e-02</internalNodes>
-          <leafValues>
-            -9.5579452812671661e-02 3.3212649822235107e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 689 1.6616169363260269e-02</internalNodes>
-          <leafValues>
-            -7.5106747448444366e-02 3.4756600856781006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 690 -1.5129039995372295e-02</internalNodes>
-          <leafValues>
-            1.3962389528751373e-01 -1.1505120247602463e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 691 -7.0729628205299377e-02</internalNodes>
-          <leafValues>
-            2.6836109161376953e-01 -1.0165339708328247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 692 2.2831759415566921e-03</internalNodes>
-          <leafValues>
-            4.4351879507303238e-02 -4.6322458982467651e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 693 5.5853649973869324e-03</internalNodes>
-          <leafValues>
-            9.1951683163642883e-02 -3.1472569704055786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 694 -4.0678508579730988e-02</internalNodes>
-          <leafValues>
-            1.4710660278797150e-01 -7.2650589048862457e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 695 -1.3589780032634735e-01</internalNodes>
-          <leafValues>
-            -5.0535297393798828e-01 4.6995479613542557e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 696 -3.8497470319271088e-02</internalNodes>
-          <leafValues>
-            -3.7170431017875671e-01 5.5208358913660049e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 697 2.7928350027650595e-03</internalNodes>
-          <leafValues>
-            -1.1620769649744034e-01 1.9377970695495605e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 698 5.3412551060318947e-03</internalNodes>
-          <leafValues>
-            1.2964010238647461e-02 -4.9244490265846252e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 699 -2.6604509912431240e-03</internalNodes>
-          <leafValues>
-            -4.5641270279884338e-01 4.3775539845228195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 700 3.2098871469497681e-01</internalNodes>
-          <leafValues>
-            4.8456329852342606e-02 -3.9300969243049622e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 701 -7.2495201602578163e-03</internalNodes>
-          <leafValues>
-            -4.1889420151710510e-01 4.1088439524173737e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 702 2.3353239521384239e-02</internalNodes>
-          <leafValues>
-            3.0208099633455276e-02 -3.7579280138015747e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 703 -2.2498020902276039e-02</internalNodes>
-          <leafValues>
-            -4.5240750908851624e-01 3.8922939449548721e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 704 -2.3866670206189156e-02</internalNodes>
-          <leafValues>
-            -5.2881467342376709e-01 1.3815529644489288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 705 -3.3641930669546127e-02</internalNodes>
-          <leafValues>
-            4.4367140531539917e-01 -4.0341619402170181e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 706 2.2140879184007645e-02</internalNodes>
-          <leafValues>
-            -4.9545429646968842e-02 2.0518389344215393e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 707 1.0603429749608040e-02</internalNodes>
-          <leafValues>
-            3.1996849924325943e-02 -5.1487600803375244e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 708 9.6357148140668869e-03</internalNodes>
-          <leafValues>
-            -1.2373799830675125e-01 1.5278430283069611e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 709 2.9718749225139618e-02</internalNodes>
-          <leafValues>
-            -5.6785408407449722e-02 2.9045888781547546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 710 2.0548420434352010e-04</internalNodes>
-          <leafValues>
-            -2.7184659242630005e-01 1.0707840323448181e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 711 -4.8672650009393692e-02</internalNodes>
-          <leafValues>
-            4.2357748746871948e-01 -4.5685999095439911e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 712 2.5377809070050716e-03</internalNodes>
-          <leafValues>
-            -7.2734832763671875e-02 2.1036009490489960e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 713 -3.3941529691219330e-03</internalNodes>
-          <leafValues>
-            -3.8152369856834412e-01 4.4548328965902328e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 714 -2.3745149374008179e-02</internalNodes>
-          <leafValues>
-            -4.4136199355125427e-01 2.4941470474004745e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 715 -2.0092299208045006e-02</internalNodes>
-          <leafValues>
-            1.6946069896221161e-01 -9.5334596931934357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 716 1.1026510037481785e-02</internalNodes>
-          <leafValues>
-            -7.2176292538642883e-02 2.4846449494361877e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 717 -1.5806879848241806e-02</internalNodes>
-          <leafValues>
-            2.2417180240154266e-01 -7.2446040809154510e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 718 4.9007359892129898e-02</internalNodes>
-          <leafValues>
-            -5.5121738463640213e-02 2.5839251279830933e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 719 2.8871610760688782e-02</internalNodes>
-          <leafValues>
-            -1.1530119925737381e-01 1.9248460233211517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 720 7.3990179225802422e-03</internalNodes>
-          <leafValues>
-            5.2299588918685913e-02 -2.1918569505214691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 721 -6.1737848445773125e-03</internalNodes>
-          <leafValues>
-            2.0380969345569611e-01 -6.9669328629970551e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 722 9.4332564622163773e-03</internalNodes>
-          <leafValues>
-            -5.3407169878482819e-02 2.5862839818000793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 723 1.4321080408990383e-02</internalNodes>
-          <leafValues>
-            3.3642519265413284e-02 -4.6795940399169922e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 724 2.2487280890345573e-02</internalNodes>
-          <leafValues>
-            -4.3100748211145401e-02 1.1230559647083282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 725 -8.8018830865621567e-03</internalNodes>
-          <leafValues>
-            -5.9977447986602783e-01 2.3850029334425926e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 726 -9.2824921011924744e-03</internalNodes>
-          <leafValues>
-            -3.7928500771522522e-01 2.4739539250731468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 727 -3.8288799260044470e-05</internalNodes>
-          <leafValues>
-            1.0945019870996475e-01 -1.2705920636653900e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 728 -1.0607670247554779e-01</internalNodes>
-          <leafValues>
-            1.2239170074462891e-01 -1.7970660701394081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 729 1.4501119963824749e-02</internalNodes>
-          <leafValues>
-            2.5438580662012100e-02 -5.4995167255401611e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 730 -2.9425490647554398e-02</internalNodes>
-          <leafValues>
-            -4.4079890847206116e-01 1.6329530626535416e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 731 -2.1412479877471924e-01</internalNodes>
-          <leafValues>
-            -5.8171492815017700e-01 2.2408049553632736e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 732 -1.5937929973006248e-02</internalNodes>
-          <leafValues>
-            4.4771928340196609e-02 -4.7021768987178802e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 733 3.5832289606332779e-02</internalNodes>
-          <leafValues>
-            2.5715630501508713e-02 -5.4305112361907959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 734 -1.1497899889945984e-02</internalNodes>
-          <leafValues>
-            -4.1323921084403992e-01 2.4659259244799614e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 735 7.6680490747094154e-03</internalNodes>
-          <leafValues>
-            -5.9614498168230057e-02 2.4197499454021454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 736 1.2335750274360180e-02</internalNodes>
-          <leafValues>
-            3.7500880658626556e-02 -4.7769561409950256e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 737 1.3047469779849052e-02</internalNodes>
-          <leafValues>
-            -6.0925539582967758e-02 2.4198959767818451e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 738 5.2074559789616615e-05</internalNodes>
-          <leafValues>
-            -9.8182268440723419e-02 8.9188173413276672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 739 3.2866070978343487e-03</internalNodes>
-          <leafValues>
-            -9.4105660915374756e-02 1.4411650598049164e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 740 -4.1732661426067352e-02</internalNodes>
-          <leafValues>
-            -6.4058172702789307e-01 2.2133890539407730e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 741 9.7638191655278206e-03</internalNodes>
-          <leafValues>
-            4.1278161108493805e-02 -3.3542799949645996e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 742 1.0774569958448410e-01</internalNodes>
-          <leafValues>
-            8.1762494519352913e-03 -4.3478840589523315e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 743 1.1196990311145782e-01</internalNodes>
-          <leafValues>
-            1.9971510395407677e-02 -6.5035951137542725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 744 6.8043068051338196e-02</internalNodes>
-          <leafValues>
-            -6.0273509472608566e-02 1.3844910264015198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 745 1.2061929702758789e-01</internalNodes>
-          <leafValues>
-            -6.6626183688640594e-02 2.1289399266242981e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 746 -2.7089789509773254e-03</internalNodes>
-          <leafValues>
-            -4.2147681117057800e-01 7.0062931627035141e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 747 -9.8798991530202329e-05</internalNodes>
-          <leafValues>
-            1.2873309850692749e-01 -1.1781200021505356e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 748 1.7797689884901047e-02</internalNodes>
-          <leafValues>
-            -3.9807539433240891e-02 2.5822418928146362e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 749 -1.5526750124990940e-02</internalNodes>
-          <leafValues>
-            -5.3756171464920044e-01 2.5428580120205879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 750 -1.1374800233170390e-03</internalNodes>
-          <leafValues>
-            1.4971290528774261e-01 -3.1790051609277725e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 751 2.1987389773130417e-02</internalNodes>
-          <leafValues>
-            3.0267579481005669e-02 -4.1569280624389648e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 752 5.9880971093662083e-05</internalNodes>
-          <leafValues>
-            -6.4167313277721405e-02 7.9953707754611969e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 753 7.6966080814599991e-03</internalNodes>
-          <leafValues>
-            -7.2746522724628448e-02 1.7084559798240662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 754 6.2799488659948111e-04</internalNodes>
-          <leafValues>
-            3.4155208617448807e-02 -1.3791529834270477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 755 -1.2622140347957611e-03</internalNodes>
-          <leafValues>
-            1.6152350604534149e-01 -7.5557827949523926e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 756 -1.1005929671227932e-02</internalNodes>
-          <leafValues>
-            -4.8230040073394775e-01 2.6834029704332352e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 757 -9.5793791115283966e-03</internalNodes>
-          <leafValues>
-            1.9468879699707031e-01 -6.6964037716388702e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 758 -9.1821959358640015e-05</internalNodes>
-          <leafValues>
-            7.9375706613063812e-02 -6.7449547350406647e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 759 1.2134959688410163e-03</internalNodes>
-          <leafValues>
-            -5.1114071160554886e-02 2.7757808566093445e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 760 7.9206802183762193e-04</internalNodes>
-          <leafValues>
-            -2.8480930253863335e-02 1.1306119710206985e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 761 2.7196949813514948e-03</internalNodes>
-          <leafValues>
-            3.6205168813467026e-02 -3.8228958845138550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 762 -7.0203691720962524e-03</internalNodes>
-          <leafValues>
-            -7.0844250917434692e-01 9.6215400844812393e-05</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 763 -7.4910762486979365e-04</internalNodes>
-          <leafValues>
-            1.8996599316596985e-01 -7.0758841931819916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 764 -3.0010089278221130e-02</internalNodes>
-          <leafValues>
-            1.4095950126647949e-01 -8.3362892270088196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 765 2.1152449771761894e-02</internalNodes>
-          <leafValues>
-            2.5880130007863045e-02 -4.6976161003112793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 766 -3.1970590353012085e-02</internalNodes>
-          <leafValues>
-            -5.1240712404251099e-01 1.2115829624235630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 767 1.0507719591259956e-02</internalNodes>
-          <leafValues>
-            3.8660790771245956e-02 -3.0986440181732178e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 768 4.8152811359614134e-05</internalNodes>
-          <leafValues>
-            -6.1655979603528976e-02 6.7806392908096313e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 769 9.6495117759332061e-04</internalNodes>
-          <leafValues>
-            -6.1358559876680374e-02 1.9916859269142151e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 770 -4.0412139147520065e-02</internalNodes>
-          <leafValues>
-            1.3414110243320465e-01 -7.1774438023567200e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 771 5.8856019750237465e-03</internalNodes>
-          <leafValues>
-            3.5979349166154861e-02 -3.3323070406913757e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 772 5.3272489458322525e-03</internalNodes>
-          <leafValues>
-            3.2898910343647003e-02 -5.1538711786270142e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 773 5.3272798657417297e-02</internalNodes>
-          <leafValues>
-            -7.8457422554492950e-02 1.5826569497585297e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 774 1.7442900687456131e-02</internalNodes>
-          <leafValues>
-            1.3395839929580688e-01 -1.1861749738454819e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 775 -4.3359059840440750e-02</internalNodes>
-          <leafValues>
-            -2.2697900235652924e-01 4.6703130006790161e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 776 -2.3120639845728874e-02</internalNodes>
-          <leafValues>
-            1.6340319812297821e-01 -6.8516552448272705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 777 -9.3796178698539734e-03</internalNodes>
-          <leafValues>
-            1.5827399492263794e-01 -7.7110826969146729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 778 -1.4122249558568001e-02</internalNodes>
-          <leafValues>
-            -5.6915611028671265e-01 2.3201670497655869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 779 -1.5595779754221439e-02</internalNodes>
-          <leafValues>
-            -7.1999537944793701e-01 1.1182960122823715e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 780 7.4529898120090365e-04</internalNodes>
-          <leafValues>
-            -7.6692558825016022e-02 5.8296941220760345e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 781 -5.1220599561929703e-03</internalNodes>
-          <leafValues>
-            -4.1475170850753784e-01 2.5212420150637627e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 782 -5.7267909141955897e-05</internalNodes>
-          <leafValues>
-            9.0584710240364075e-02 -6.6890686750411987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 783 8.8431767653673887e-04</internalNodes>
-          <leafValues>
-            -5.7051338255405426e-02 2.4205550551414490e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 784 -6.3992529176175594e-03</internalNodes>
-          <leafValues>
-            -4.7669911384582520e-01 1.7223160713911057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 785 3.4215620253235102e-03</internalNodes>
-          <leafValues>
-            3.3065941184759140e-02 -3.5055148601531982e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 786 6.0761801432818174e-04</internalNodes>
-          <leafValues>
-            -6.3330791890621185e-02 1.8019370734691620e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 787 -2.7124559506773949e-02</internalNodes>
-          <leafValues>
-            1.3474200665950775e-01 -8.4303401410579681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 788 3.2038338482379913e-02</internalNodes>
-          <leafValues>
-            -6.7669242620468140e-02 1.7966659367084503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 789 7.2583961300551891e-03</internalNodes>
-          <leafValues>
-            -9.8616771399974823e-02 1.1662179976701736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 790 -3.7803640589118004e-03</internalNodes>
-          <leafValues>
-            1.2330210208892822e-01 -4.7761891037225723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 791 3.9241630584001541e-02</internalNodes>
-          <leafValues>
-            1.6770560294389725e-02 -7.3297500610351562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 792 -5.3865249356022105e-05</internalNodes>
-          <leafValues>
-            8.5012666881084442e-02 -7.5102739036083221e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 793 8.2592968828976154e-04</internalNodes>
-          <leafValues>
-            -5.5150531232357025e-02 2.0594260096549988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 794 -5.6403529015369713e-05</internalNodes>
-          <leafValues>
-            7.6255522668361664e-02 -6.9994620978832245e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 795 -5.6928332196548581e-04</internalNodes>
-          <leafValues>
-            -2.4831940233707428e-01 4.6885799616575241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 796 4.2482689023017883e-02</internalNodes>
-          <leafValues>
-            -3.4421678632497787e-02 1.4847649633884430e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 797 -3.3953409641981125e-02</internalNodes>
-          <leafValues>
-            2.8434708714485168e-01 -4.3108358979225159e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 798 1.8899820744991302e-02</internalNodes>
-          <leafValues>
-            1.4299860224127769e-02 -4.1920700669288635e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 799 1.9765710458159447e-03</internalNodes>
-          <leafValues>
-            6.2193240970373154e-02 -1.7860250174999237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 800 -5.0894439482362941e-05</internalNodes>
-          <leafValues>
-            9.4885483384132385e-02 -6.8978622555732727e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 801 1.1491550132632256e-02</internalNodes>
-          <leafValues>
-            3.3188611268997192e-02 -3.6289590597152710e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 802 -2.1510679274797440e-02</internalNodes>
-          <leafValues>
-            2.7597379684448242e-01 -3.1749140471220016e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 803 1.3055199757218361e-02</internalNodes>
-          <leafValues>
-            -8.3081558346748352e-02 1.4498490095138550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 804 6.6747581586241722e-03</internalNodes>
-          <leafValues>
-            -4.6190250664949417e-02 1.3833600282669067e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 805 -7.0616300217807293e-03</internalNodes>
-          <leafValues>
-            1.9687490165233612e-01 -8.3798579871654510e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 806 6.1481661396101117e-04</internalNodes>
-          <leafValues>
-            5.4201129823923111e-02 -1.9812339544296265e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 807 2.8601831197738647e-01</internalNodes>
-          <leafValues>
-            2.3295460268855095e-02 -4.1733700037002563e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 808 4.6371720731258392e-02</internalNodes>
-          <leafValues>
-            -2.9012339189648628e-02 1.8080130219459534e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 809 -5.5724751204252243e-02</internalNodes>
-          <leafValues>
-            1.3581469655036926e-01 -1.0612230002880096e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 810 -2.5843968987464905e-01</internalNodes>
-          <leafValues>
-            -4.9107319116592407e-01 1.5150199644267559e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>113</maxWeakCount>
-      <stageThreshold>-1.3937480449676514e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 811 -4.1740439832210541e-02</internalNodes>
-          <leafValues>
-            4.2029929161071777e-01 -1.3865880668163300e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 812 2.7438610792160034e-02</internalNodes>
-          <leafValues>
-            -6.9185562431812286e-02 6.3781380653381348e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 813 -3.1923361122608185e-02</internalNodes>
-          <leafValues>
-            5.5629998445510864e-01 -5.8802250772714615e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 814 -4.2633909732103348e-02</internalNodes>
-          <leafValues>
-            3.9570361375808716e-01 -9.2322356998920441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 815 -4.5332979410886765e-02</internalNodes>
-          <leafValues>
-            4.8316720128059387e-01 -9.9028460681438446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 816 1.4149550115689635e-03</internalNodes>
-          <leafValues>
-            -3.8321029394865036e-02 3.7827879190444946e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 817 3.1844570767134428e-03</internalNodes>
-          <leafValues>
-            8.4587417542934418e-02 -3.6293488740921021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 818 7.9865548759698868e-03</internalNodes>
-          <leafValues>
-            6.6024526953697205e-02 -4.9909490346908569e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 819 8.3637079223990440e-03</internalNodes>
-          <leafValues>
-            -1.5688340365886688e-01 1.7327819764614105e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 820 1.6616169363260269e-02</internalNodes>
-          <leafValues>
-            -1.0921569913625717e-01 3.2081720232963562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 821 -1.0837230086326599e-01</internalNodes>
-          <leafValues>
-            -3.1443148851394653e-01 9.6088737249374390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 822 -5.5264160037040710e-02</internalNodes>
-          <leafValues>
-            -3.2385888695716858e-01 7.6004527509212494e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 823 1.2632569670677185e-01</internalNodes>
-          <leafValues>
-            6.5257273614406586e-02 -4.0118929743766785e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 824 3.8804560899734497e-01</internalNodes>
-          <leafValues>
-            2.9047280550003052e-02 -2.8504198789596558e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 825 2.1647498942911625e-03</internalNodes>
-          <leafValues>
-            5.6638881564140320e-02 -4.4831070303916931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 826 -8.5035830736160278e-02</internalNodes>
-          <leafValues>
-            2.3742489516735077e-01 -1.1276420205831528e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 827 2.9713720083236694e-02</internalNodes>
-          <leafValues>
-            -4.0369931608438492e-02 4.7471740841865540e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 828 1.8948830664157867e-02</internalNodes>
-          <leafValues>
-            -7.9447157680988312e-02 2.7210989594459534e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 829 -5.4433820769190788e-03</internalNodes>
-          <leafValues>
-            -4.0186598896980286e-01 5.7357691228389740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 830 -7.4416291899979115e-03</internalNodes>
-          <leafValues>
-            -4.6421709656715393e-01 3.4328330308198929e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 831 3.1745829619467258e-03</internalNodes>
-          <leafValues>
-            -7.1994602680206299e-02 2.8998330235481262e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 832 -4.6435040421783924e-03</internalNodes>
-          <leafValues>
-            -4.2195430397987366e-01 3.9487071335315704e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 833 -2.2597080096602440e-02</internalNodes>
-          <leafValues>
-            2.7456980943679810e-01 -7.7242776751518250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 834 1.7568180337548256e-02</internalNodes>
-          <leafValues>
-            6.0469850897789001e-02 -2.7558389306068420e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 835 2.2853609919548035e-01</internalNodes>
-          <leafValues>
-            3.7277411669492722e-02 -5.3754311800003052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 836 3.2330639660358429e-02</internalNodes>
-          <leafValues>
-            4.5896150171756744e-02 -3.8448250293731689e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 837 -2.8539650142192841e-02</internalNodes>
-          <leafValues>
-            5.8917909860610962e-01 -3.4072808921337128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 838 2.8611959889531136e-02</internalNodes>
-          <leafValues>
-            2.4174140766263008e-02 -2.3255120217800140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 839 1.9021460786461830e-02</internalNodes>
-          <leafValues>
-            5.6291140615940094e-02 -3.4046700596809387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 840 -5.7942080311477184e-03</internalNodes>
-          <leafValues>
-            2.3920939862728119e-01 -6.3862636685371399e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 841 1.9857540726661682e-02</internalNodes>
-          <leafValues>
-            5.1371630281209946e-02 -3.4053778648376465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 842 -2.2779459133744240e-02</internalNodes>
-          <leafValues>
-            2.9225811362266541e-01 -6.0494560748338699e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 843 1.4801420271396637e-01</internalNodes>
-          <leafValues>
-            -3.4383419901132584e-02 4.6671169996261597e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 844 -3.3703971654176712e-02</internalNodes>
-          <leafValues>
-            -3.7704831361770630e-01 2.6303650811314583e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 845 -1.6228390857577324e-02</internalNodes>
-          <leafValues>
-            -3.3824568986892700e-01 5.7086139917373657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 846 -4.2941919527947903e-03</internalNodes>
-          <leafValues>
-            -3.2951489090919495e-01 4.3417800217866898e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 847 -2.3574110120534897e-02</internalNodes>
-          <leafValues>
-            -3.9452001452445984e-01 3.9823610335588455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 848 2.1848749369382858e-02</internalNodes>
-          <leafValues>
-            2.6808669790625572e-02 -2.5965699553489685e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 849 -2.0930990576744080e-02</internalNodes>
-          <leafValues>
-            -3.6419558525085449e-01 4.3782789260149002e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 850 1.6019339673221111e-03</internalNodes>
-          <leafValues>
-            -2.4020690470933914e-02 2.1828800439834595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 851 -5.4896557331085205e-01</internalNodes>
-          <leafValues>
-            -5.6733721494674683e-01 2.8684079647064209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 852 1.5187090262770653e-02</internalNodes>
-          <leafValues>
-            -8.1696130335330963e-02 2.1070739626884460e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 853 -3.0653451103717089e-03</internalNodes>
-          <leafValues>
-            -3.7013870477676392e-01 4.7142639756202698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 854 -2.2847671061754227e-03</internalNodes>
-          <leafValues>
-            1.8132969737052917e-01 -4.1904181241989136e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 855 1.3886080123484135e-03</internalNodes>
-          <leafValues>
-            -4.7716971486806870e-02 3.1205159425735474e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 856 -4.2354268953204155e-03</internalNodes>
-          <leafValues>
-            -3.1207269430160522e-01 3.6572430282831192e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 857 4.9234707839787006e-03</internalNodes>
-          <leafValues>
-            -1.1051789671182632e-01 1.3647459447383881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 858 -9.7824353724718094e-04</internalNodes>
-          <leafValues>
-            1.0191129893064499e-01 -3.9698559790849686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 859 2.3952899500727654e-03</internalNodes>
-          <leafValues>
-            3.4585561603307724e-02 -4.6207970380783081e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 860 -2.7391599360271357e-05</internalNodes>
-          <leafValues>
-            4.7003678977489471e-02 -5.7648900896310806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 861 -3.7895010318607092e-03</internalNodes>
-          <leafValues>
-            -3.9044469594955444e-01 3.9270818233489990e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 862 2.5150740519165993e-02</internalNodes>
-          <leafValues>
-            -3.1348060816526413e-02 4.7427290678024292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 863 -5.4564148187637329e-02</internalNodes>
-          <leafValues>
-            1.4945609867572784e-01 -9.8201327025890350e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 864 -4.1662190109491348e-02</internalNodes>
-          <leafValues>
-            -4.2450940608978271e-01 1.5298790298402309e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 865 -2.0739400759339333e-02</internalNodes>
-          <leafValues>
-            -3.2189819216728210e-01 4.7922980040311813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 866 -9.7902817651629448e-04</internalNodes>
-          <leafValues>
-            2.3306930065155029e-01 -5.9799421578645706e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 867 -4.1547799482941628e-03</internalNodes>
-          <leafValues>
-            -3.0402511358261108e-01 4.5693140476942062e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 868 -2.6045470804092474e-05</internalNodes>
-          <leafValues>
-            5.5388018488883972e-02 -5.4097719490528107e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 869 1.0567409917712212e-03</internalNodes>
-          <leafValues>
-            -5.2676759660243988e-02 2.4732929468154907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 870 1.8429230153560638e-01</internalNodes>
-          <leafValues>
-            1.6558110713958740e-02 -5.7896447181701660e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 871 1.4177090488374233e-03</internalNodes>
-          <leafValues>
-            -5.2407130599021912e-02 2.5247898697853088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 872 -4.0882350876927376e-03</internalNodes>
-          <leafValues>
-            -3.0666339397430420e-01 2.6950219646096230e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 873 8.5421912372112274e-03</internalNodes>
-          <leafValues>
-            -4.8116620630025864e-02 2.7163261175155640e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 874 1.9569039344787598e-02</internalNodes>
-          <leafValues>
-            2.5119980797171593e-02 -3.3716028928756714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 875 2.6773509383201599e-01</internalNodes>
-          <leafValues>
-            2.3119339719414711e-02 -5.0757241249084473e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 876 -3.2680608332157135e-02</internalNodes>
-          <leafValues>
-            2.7736881375312805e-01 -4.8139289021492004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 877 -5.0574508495628834e-03</internalNodes>
-          <leafValues>
-            -3.6395868659019470e-01 3.6307089030742645e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 878 7.9170227050781250e-02</internalNodes>
-          <leafValues>
-            -2.9553070664405823e-02 1.6328190267086029e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 879 2.2955629974603653e-03</internalNodes>
-          <leafValues>
-            -6.4419128000736237e-02 1.9216349720954895e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 880 2.1744619880337268e-04</internalNodes>
-          <leafValues>
-            -1.2481279671192169e-01 5.1342830061912537e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 881 -5.9793200343847275e-03</internalNodes>
-          <leafValues>
-            -5.4004061222076416e-01 2.3657269775867462e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 882 -2.1830040216445923e-01</internalNodes>
-          <leafValues>
-            -3.0027130246162415e-01 1.8829640001058578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 883 -2.5782659649848938e-03</internalNodes>
-          <leafValues>
-            -2.9368001222610474e-01 4.3735310435295105e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 884 -1.3443179428577423e-01</internalNodes>
-          <leafValues>
-            -2.9820311069488525e-01 2.1951649338006973e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 885 3.3298340439796448e-01</internalNodes>
-          <leafValues>
-            4.1799660772085190e-02 -3.4646728634834290e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 886 -2.7604660019278526e-02</internalNodes>
-          <leafValues>
-            -3.1696259975433350e-01 1.5039809979498386e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 887 2.8459940105676651e-02</internalNodes>
-          <leafValues>
-            3.1132759526371956e-02 -4.1158550977706909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 888 5.6875180453062057e-02</internalNodes>
-          <leafValues>
-            3.1998890917748213e-03 -8.4963297843933105e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 889 -2.6414059102535248e-02</internalNodes>
-          <leafValues>
-            -4.0303400158882141e-01 2.8532799333333969e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 890 8.2670920528471470e-04</internalNodes>
-          <leafValues>
-            -4.7888670116662979e-02 2.0834739506244659e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 891 -1.7481200397014618e-02</internalNodes>
-          <leafValues>
-            -4.7842741012573242e-01 2.6197340339422226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 892 1.0209370404481888e-02</internalNodes>
-          <leafValues>
-            -3.2349199056625366e-02 3.3332398533821106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 893 -9.0442842338234186e-04</internalNodes>
-          <leafValues>
-            2.2529889643192291e-01 -5.0218481570482254e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 894 -5.5155509471660480e-05</internalNodes>
-          <leafValues>
-            8.5416309535503387e-02 -9.2255666851997375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 895 -7.5864349491894245e-03</internalNodes>
-          <leafValues>
-            -2.7453339099884033e-01 4.2833179235458374e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 896 6.8936333060264587e-02</internalNodes>
-          <leafValues>
-            -3.6221239715814590e-02 2.2021399438381195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 897 1.0017789900302887e-03</internalNodes>
-          <leafValues>
-            -4.6468019485473633e-02 2.6032060384750366e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 898 -1.5333900228142738e-03</internalNodes>
-          <leafValues>
-            2.8312671184539795e-01 -3.2194979488849640e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 899 5.0275481771677732e-04</internalNodes>
-          <leafValues>
-            5.4722610861063004e-02 -2.3836499452590942e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 900 6.7827408201992512e-05</internalNodes>
-          <leafValues>
-            -3.9139021188020706e-02 5.0138108432292938e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 901 -9.6863682847470045e-04</internalNodes>
-          <leafValues>
-            2.1087090671062469e-01 -6.0840670019388199e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 902 1.5726730227470398e-02</internalNodes>
-          <leafValues>
-            1.1550820432603359e-02 -8.9771991968154907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 903 -6.1983527848497033e-04</internalNodes>
-          <leafValues>
-            -2.8654229640960693e-01 3.8063231855630875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 904 -1.4889890328049660e-02</internalNodes>
-          <leafValues>
-            2.1888859570026398e-01 -5.3425349295139313e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 905 9.1423774138092995e-03</internalNodes>
-          <leafValues>
-            2.8971910476684570e-02 -4.3313831090927124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 906 4.4567110307980329e-05</internalNodes>
-          <leafValues>
-            -4.9350600689649582e-02 8.2990236580371857e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 907 -4.6295441279653460e-05</internalNodes>
-          <leafValues>
-            1.1451739817857742e-01 -1.1541579663753510e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 908 -9.5154307782649994e-02</internalNodes>
-          <leafValues>
-            -3.6218079924583435e-01 3.8963958621025085e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 909 1.1447920463979244e-02</internalNodes>
-          <leafValues>
-            -6.3377149403095245e-02 1.7998909950256348e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 910 1.6846949234604836e-02</internalNodes>
-          <leafValues>
-            -7.9555906355381012e-02 2.0804320275783539e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 911 -1.9532829523086548e-02</internalNodes>
-          <leafValues>
-            3.3066600561141968e-01 -3.6887980997562408e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 912 -9.9951513111591339e-03</internalNodes>
-          <leafValues>
-            -2.6018738746643066e-01 2.0032050088047981e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 913 5.5966150015592575e-02</internalNodes>
-          <leafValues>
-            2.9873110353946686e-02 -3.7979680299758911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 914 2.2398930042982101e-02</internalNodes>
-          <leafValues>
-            9.4442693516612053e-03 -3.0707120895385742e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 915 -1.1130659841001034e-02</internalNodes>
-          <leafValues>
-            -4.5474618673324585e-01 2.3782089352607727e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 916 1.0391449555754662e-02</internalNodes>
-          <leafValues>
-            -8.0150999128818512e-02 1.0174000263214111e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 917 -9.7076389938592911e-03</internalNodes>
-          <leafValues>
-            3.2200449705123901e-01 -4.7525040805339813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 918 1.9170529412804171e-05</internalNodes>
-          <leafValues>
-            -6.1904601752758026e-02 7.5871497392654419e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 919 -5.7660471647977829e-03</internalNodes>
-          <leafValues>
-            -2.8932619094848633e-01 3.5711359232664108e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 920 -8.0189562868326902e-04</internalNodes>
-          <leafValues>
-            1.4876769483089447e-01 -3.3799510449171066e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 921 -4.5168989896774292e-01</internalNodes>
-          <leafValues>
-            -5.8006447553634644e-01 1.8294280394911766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 922 7.1167000569403172e-03</internalNodes>
-          <leafValues>
-            2.2195219993591309e-02 -4.3420061469078064e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 923 2.1432479843497276e-02</internalNodes>
-          <leafValues>
-            -4.2519841343164444e-02 2.7117589116096497e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>172</maxWeakCount>
-      <stageThreshold>-1.3605639934539795e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 924 8.8465185835957527e-03</internalNodes>
-          <leafValues>
-            -2.0597270131111145e-01 2.1589750051498413e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 925 -1.1486900039017200e-02</internalNodes>
-          <leafValues>
-            1.4502839744091034e-01 -2.5122788548469543e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 926 6.1377901583909988e-02</internalNodes>
-          <leafValues>
-            -1.2108889967203140e-01 2.8931090235710144e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 927 -5.1466740667819977e-02</internalNodes>
-          <leafValues>
-            7.7043011784553528e-02 -1.4475989341735840e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 928 9.9043287336826324e-02</internalNodes>
-          <leafValues>
-            8.7946407496929169e-02 -3.6684900522232056e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 929 6.0240789316594601e-03</internalNodes>
-          <leafValues>
-            5.5971618741750717e-02 -4.2305350303649902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 930 9.3228947371244431e-03</internalNodes>
-          <leafValues>
-            -1.4887219667434692e-01 1.4235040545463562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 931 -8.3782836794853210e-02</internalNodes>
-          <leafValues>
-            -5.0623029470443726e-02 6.7185766994953156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 932 -1.4369570417329669e-03</internalNodes>
-          <leafValues>
-            1.6699740290641785e-01 -1.1847949773073196e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 933 -8.4923747926950455e-03</internalNodes>
-          <leafValues>
-            -5.7465082406997681e-01 4.6952918171882629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 934 6.1581619083881378e-03</internalNodes>
-          <leafValues>
-            3.8783859461545944e-02 -4.1793778538703918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 935 3.8826680183410645e-01</internalNodes>
-          <leafValues>
-            -3.4158889204263687e-02 3.8834908604621887e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 936 -6.2880381010472775e-03</internalNodes>
-          <leafValues>
-            1.8779429793357849e-01 -1.0967569798231125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 937 -8.8647350668907166e-02</internalNodes>
-          <leafValues>
-            2.9610741138458252e-01 -4.9650270491838455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 938 5.7384949177503586e-02</internalNodes>
-          <leafValues>
-            -6.2142979353666306e-02 4.0399539470672607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 939 6.3049891032278538e-03</internalNodes>
-          <leafValues>
-            3.0240859836339951e-02 -2.5532779097557068e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 940 -1.2817610055208206e-02</internalNodes>
-          <leafValues>
-            -7.4915027618408203e-01 1.8835680559277534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 941 6.5159690566360950e-03</internalNodes>
-          <leafValues>
-            -7.4971511960029602e-02 1.9758880138397217e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 942 8.2992920652031898e-03</internalNodes>
-          <leafValues>
-            3.2989550381898880e-02 -4.3466570973396301e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 943 6.3911718316376209e-03</internalNodes>
-          <leafValues>
-            2.9757190495729446e-02 -3.0728459358215332e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 944 6.8949637352488935e-05</internalNodes>
-          <leafValues>
-            -1.7294059693813324e-01 9.2702791094779968e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 945 4.1354808956384659e-02</internalNodes>
-          <leafValues>
-            -2.7904760092496872e-02 1.6296459734439850e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 946 1.8999379873275757e-01</internalNodes>
-          <leafValues>
-            -3.1295470893383026e-02 4.8351749777793884e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 947 -1.2732900679111481e-01</internalNodes>
-          <leafValues>
-            -4.3095651268959045e-01 4.1448518633842468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 948 -3.5605970770120621e-02</internalNodes>
-          <leafValues>
-            -2.0096629858016968e-01 7.7555581927299500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 949 -7.2760661132633686e-03</internalNodes>
-          <leafValues>
-            1.1694429814815521e-01 -5.6488901376724243e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 950 -1.6728280112147331e-02</internalNodes>
-          <leafValues>
-            -5.5824387073516846e-01 2.4678710848093033e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 951 3.5163350403308868e-03</internalNodes>
-          <leafValues>
-            -1.3123939931392670e-01 6.3867613673210144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 952 -3.7709469906985760e-03</internalNodes>
-          <leafValues>
-            -3.3209028840065002e-01 4.1377659887075424e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 953 -1.3886960223317146e-02</internalNodes>
-          <leafValues>
-            -3.1274241209030151e-01 4.2570248246192932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 954 9.3537326902151108e-03</internalNodes>
-          <leafValues>
-            -6.6785670816898346e-02 1.9074550271034241e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 955 -1.9434669986367226e-02</internalNodes>
-          <leafValues>
-            3.1526941061019897e-01 -4.7358151525259018e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 956 6.2511018477380276e-03</internalNodes>
-          <leafValues>
-            3.0958879739046097e-02 -3.8309469819068909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 957 -2.5296900421380997e-02</internalNodes>
-          <leafValues>
-            -2.9622459411621094e-01 1.5191599726676941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 958 -3.0754129402339458e-03</internalNodes>
-          <leafValues>
-            7.2913318872451782e-02 -1.7640450596809387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 959 7.8001008369028568e-03</internalNodes>
-          <leafValues>
-            -5.0157550722360611e-02 1.1628890037536621e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 960 -7.7680540271103382e-03</internalNodes>
-          <leafValues>
-            2.4157559871673584e-01 -7.7894441783428192e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 961 -8.8092312216758728e-02</internalNodes>
-          <leafValues>
-            2.5150829553604126e-01 -4.8299308866262436e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 962 -1.7023129621520638e-03</internalNodes>
-          <leafValues>
-            1.7975769937038422e-01 -9.7071669995784760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 963 -9.9703423678874969e-02</internalNodes>
-          <leafValues>
-            -4.7000929713249207e-01 1.5582949854433537e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 964 4.6657170169055462e-03</internalNodes>
-          <leafValues>
-            2.9513580724596977e-02 -4.0181469917297363e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 965 -1.7661379650235176e-02</internalNodes>
-          <leafValues>
-            -5.4495137929916382e-01 1.6858519986271858e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 966 -2.2309330105781555e-01</internalNodes>
-          <leafValues>
-            1.8432730436325073e-01 -6.3223339617252350e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 967 5.2850779145956039e-02</internalNodes>
-          <leafValues>
-            -7.3477171361446381e-02 1.9944219291210175e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 968 -2.4665659293532372e-02</internalNodes>
-          <leafValues>
-            2.6995450258255005e-01 -5.2351549267768860e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 969 -4.9799769185483456e-03</internalNodes>
-          <leafValues>
-            -4.4958519935607910e-01 2.6983380317687988e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 970 3.0535869300365448e-03</internalNodes>
-          <leafValues>
-            3.7507511675357819e-02 -3.4648960828781128e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 971 -2.6310039684176445e-02</internalNodes>
-          <leafValues>
-            -1.7662410438060760e-01 2.5613600388169289e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 972 -4.8684021458029747e-03</internalNodes>
-          <leafValues>
-            1.8770970404148102e-01 -6.0557551681995392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 973 4.5840580016374588e-02</internalNodes>
-          <leafValues>
-            3.3042129129171371e-02 -2.0266860723495483e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 974 6.7487969063222408e-03</internalNodes>
-          <leafValues>
-            -1.3846549391746521e-01 1.1449229717254639e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 975 1.0793830268085003e-02</internalNodes>
-          <leafValues>
-            -5.5047448724508286e-02 1.8106620013713837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 976 -1.3201650232076645e-02</internalNodes>
-          <leafValues>
-            -4.6548879146575928e-01 2.5808539241552353e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 977 -4.9963342025876045e-03</internalNodes>
-          <leafValues>
-            1.1389660090208054e-01 -1.1401399970054626e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 978 -1.5819359570741653e-02</internalNodes>
-          <leafValues>
-            -4.8535621166229248e-01 2.2087620571255684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 979 6.8264620495028794e-05</internalNodes>
-          <leafValues>
-            -8.1919372081756592e-02 8.4099397063255310e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 980 -1.5637379139661789e-02</internalNodes>
-          <leafValues>
-            -4.5156350731849670e-01 2.2735800594091415e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 981 8.3005577325820923e-03</internalNodes>
-          <leafValues>
-            -5.1414210349321365e-02 2.2123479843139648e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 982 6.6999751143157482e-03</internalNodes>
-          <leafValues>
-            2.9789600521326065e-02 -3.5434889793395996e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 983 5.1744161173701286e-03</internalNodes>
-          <leafValues>
-            -4.9688689410686493e-02 2.2029140591621399e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 984 6.1278040520846844e-03</internalNodes>
-          <leafValues>
-            -6.3075892627239227e-02 1.7833660542964935e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 985 6.8791587837040424e-03</internalNodes>
-          <leafValues>
-            2.8441529721021652e-02 -2.9938548803329468e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 986 -2.1736100316047668e-02</internalNodes>
-          <leafValues>
-            1.7913189530372620e-01 -6.0287751257419586e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 987 1.4009020291268826e-02</internalNodes>
-          <leafValues>
-            -1.0601969808340073e-01 1.5481740236282349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 988 2.1868139505386353e-01</internalNodes>
-          <leafValues>
-            -4.8351760953664780e-02 2.5734689831733704e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 989 2.8380098938941956e-01</internalNodes>
-          <leafValues>
-            -5.0905589014291763e-02 2.9360538721084595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 990 1.2093160301446915e-01</internalNodes>
-          <leafValues>
-            1.7309570685029030e-02 -6.9268721342086792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 991 5.6961830705404282e-02</internalNodes>
-          <leafValues>
-            -1.8678819760680199e-02 3.2275679707527161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 992 -9.0500963851809502e-03</internalNodes>
-          <leafValues>
-            -4.2406618595123291e-01 2.6841519400477409e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 993 2.3118279874324799e-02</internalNodes>
-          <leafValues>
-            1.0546280071139336e-02 -5.2286899089813232e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 994 1.1480690445750952e-03</internalNodes>
-          <leafValues>
-            -4.5985739678144455e-02 2.3199149966239929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 995 -9.8909307271242142e-03</internalNodes>
-          <leafValues>
-            -5.4075521230697632e-01 1.4261700212955475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 996 7.0599978789687157e-04</internalNodes>
-          <leafValues>
-            -6.4954958856105804e-02 1.6775579750537872e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 997 -8.2311293226666749e-05</internalNodes>
-          <leafValues>
-            7.2767913341522217e-02 -5.4248239845037460e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 998 5.3380471654236317e-03</internalNodes>
-          <leafValues>
-            3.2092440873384476e-02 -3.1868579983711243e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 999 5.9835889260284603e-05</internalNodes>
-          <leafValues>
-            -4.9297779798507690e-02 5.7114310562610626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1000 4.0741640987107530e-05</internalNodes>
-          <leafValues>
-            -9.9226392805576324e-02 1.1056730151176453e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1001 -2.7114659547805786e-02</internalNodes>
-          <leafValues>
-            2.4599009752273560e-01 -6.2148950994014740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1002 -8.8477227836847305e-04</internalNodes>
-          <leafValues>
-            2.0234499871730804e-01 -5.2926119416952133e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1003 -1.9263679161667824e-02</internalNodes>
-          <leafValues>
-            1.5162590146064758e-01 -7.1536980569362640e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1004 9.6891522407531738e-03</internalNodes>
-          <leafValues>
-            3.5710871219635010e-02 -3.2550829648971558e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1005 -2.2841900587081909e-02</internalNodes>
-          <leafValues>
-            -3.4999141097068787e-01 1.7189299687743187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1006 -1.4777970314025879e-01</internalNodes>
-          <leafValues>
-            -4.3190780282020569e-01 2.1629950031638145e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1007 2.3399880155920982e-03</internalNodes>
-          <leafValues>
-            -4.4266819953918457e-02 9.6337772905826569e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1008 -7.2832189500331879e-02</internalNodes>
-          <leafValues>
-            -8.1861889362335205e-01 1.1799000203609467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1009 -3.0727210640907288e-01</internalNodes>
-          <leafValues>
-            -7.0073091983795166e-01 3.5564110148698092e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1010 -2.0766649395227432e-02</internalNodes>
-          <leafValues>
-            -3.9139050245285034e-01 2.4622289463877678e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1011 -3.6341920495033264e-03</internalNodes>
-          <leafValues>
-            -4.5010888576507568e-01 5.5562350898981094e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1012 -7.0794070779811591e-05</internalNodes>
-          <leafValues>
-            1.0878349840641022e-01 -9.0500459074974060e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1013 -8.8314860477112234e-05</internalNodes>
-          <leafValues>
-            6.4176410436630249e-02 -4.9464631825685501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1014 -1.1070650070905685e-02</internalNodes>
-          <leafValues>
-            1.4730830490589142e-01 -6.7049317061901093e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1015 6.3626351766288280e-03</internalNodes>
-          <leafValues>
-            -4.0033329278230667e-02 9.2663377523422241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1016 -7.7499519102275372e-03</internalNodes>
-          <leafValues>
-            1.3924610614776611e-01 -7.7478073537349701e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1017 4.7532729804515839e-03</internalNodes>
-          <leafValues>
-            -7.2917170822620392e-02 1.7065620422363281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1018 -1.6807980835437775e-02</internalNodes>
-          <leafValues>
-            1.3080079853534698e-01 -8.0180667340755463e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1019 1.2794940173625946e-01</internalNodes>
-          <leafValues>
-            -1.9922649487853050e-02 3.7117990851402283e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1020 -1.8189599737524986e-02</internalNodes>
-          <leafValues>
-            1.2358730286359787e-01 -8.3040617406368256e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1021 -1.6172589734196663e-02</internalNodes>
-          <leafValues>
-            -4.4906508922576904e-01 2.2756649181246758e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1022 6.8046152591705322e-05</internalNodes>
-          <leafValues>
-            -1.0118240118026733e-01 9.3573577702045441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1023 1.1714019638020545e-04</internalNodes>
-          <leafValues>
-            -8.1081606447696686e-02 1.0626289993524551e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1024 5.4521678976016119e-05</internalNodes>
-          <leafValues>
-            -9.3289181590080261e-02 1.1599899828433990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1025 -9.5095802098512650e-03</internalNodes>
-          <leafValues>
-            -5.0519037246704102e-01 1.4159279875457287e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1026 -2.8461390174925327e-03</internalNodes>
-          <leafValues>
-            -1.9915759563446045e-01 4.7365210950374603e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1027 2.3286240175366402e-02</internalNodes>
-          <leafValues>
-            -4.0329229086637497e-02 8.0515727400779724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1028 -4.2605649679899216e-02</internalNodes>
-          <leafValues>
-            3.3448079228401184e-01 -3.8372710347175598e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1029 4.5101181603968143e-03</internalNodes>
-          <leafValues>
-            2.6354929432272911e-02 -2.3492150008678436e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1030 6.1817811802029610e-03</internalNodes>
-          <leafValues>
-            2.1172510460019112e-02 -4.4205141067504883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1031 -1.0606969706714153e-02</internalNodes>
-          <leafValues>
-            6.5457493066787720e-02 -3.2472599297761917e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1032 -8.5813581943511963e-02</internalNodes>
-          <leafValues>
-            -3.4062311053276062e-01 3.0151499435305595e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1033 6.2758061103522778e-03</internalNodes>
-          <leafValues>
-            -6.1991188675165176e-02 1.5030339360237122e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1034 -3.0965260230004787e-03</internalNodes>
-          <leafValues>
-            1.4812999963760376e-01 -8.1336267292499542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1035 -1.1123980395495892e-02</internalNodes>
-          <leafValues>
-            -4.6381580829620361e-01 1.5213469974696636e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1036 -1.1103980243206024e-02</internalNodes>
-          <leafValues>
-            -6.0053801536560059e-01 1.3585429638624191e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1037 -3.2944830600172281e-03</internalNodes>
-          <leafValues>
-            -4.6413660049438477e-01 2.6226969435811043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1038 1.1376610025763512e-02</internalNodes>
-          <leafValues>
-            -5.6543599814176559e-02 1.5750829875469208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1039 -2.9465200379490852e-02</internalNodes>
-          <leafValues>
-            1.4864230155944824e-01 -6.5188251435756683e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1040 4.9167301505804062e-02</internalNodes>
-          <leafValues>
-            -9.2225171625614166e-02 1.0154259949922562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1041 -2.0959099754691124e-02</internalNodes>
-          <leafValues>
-            1.7496380209922791e-01 -2.5550199672579765e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1042 5.4627470672130585e-03</internalNodes>
-          <leafValues>
-            -6.2659218907356262e-02 1.6952160000801086e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1043 -4.3515427969396114e-03</internalNodes>
-          <leafValues>
-            8.2261569797992706e-02 -5.9839021414518356e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1044 7.4772499501705170e-03</internalNodes>
-          <leafValues>
-            -4.9545519053936005e-02 2.4696870148181915e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1045 -3.7427861243486404e-02</internalNodes>
-          <leafValues>
-            -9.1783320903778076e-01 3.5620180424302816e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1046 -2.4843990802764893e-02</internalNodes>
-          <leafValues>
-            -4.8939180374145508e-01 1.7182579264044762e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1047 8.0120442435145378e-03</internalNodes>
-          <leafValues>
-            2.1742369979619980e-02 -6.4817667007446289e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1048 5.7306028902530670e-03</internalNodes>
-          <leafValues>
-            -7.0788390934467316e-02 1.3909959793090820e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1049 1.0989320464432240e-02</internalNodes>
-          <leafValues>
-            7.0361187681555748e-03 -3.5568338632583618e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1050 -3.5342550836503506e-03</internalNodes>
-          <leafValues>
-            -2.3039029538631439e-01 3.9539441466331482e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1051 3.2612178474664688e-02</internalNodes>
-          <leafValues>
-            -8.3450950682163239e-02 9.6162289381027222e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1052 -5.1919098943471909e-02</internalNodes>
-          <leafValues>
-            -3.5974389314651489e-01 2.3558309301733971e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1053 2.8027060627937317e-01</internalNodes>
-          <leafValues>
-            1.9102599471807480e-02 -2.7387228608131409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1054 -1.8680640496313572e-03</internalNodes>
-          <leafValues>
-            1.5570870041847229e-01 -5.9242039918899536e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1055 4.1271179914474487e-02</internalNodes>
-          <leafValues>
-            9.2102894559502602e-03 -6.2253618240356445e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1056 -3.4157458692789078e-02</internalNodes>
-          <leafValues>
-            -6.9106769561767578e-01 1.4058819971978664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1057 2.8111249208450317e-02</internalNodes>
-          <leafValues>
-            6.3892039470374584e-03 -6.0164892673492432e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1058 -9.7675784491002560e-04</internalNodes>
-          <leafValues>
-            1.6638219356536865e-01 -5.3310938179492950e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1059 -2.8404109179973602e-02</internalNodes>
-          <leafValues>
-            -8.4311908483505249e-01 4.9202498048543930e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1060 9.7658135928213596e-04</internalNodes>
-          <leafValues>
-            -5.2436660975217819e-02 1.6968539357185364e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1061 -7.9386442899703979e-02</internalNodes>
-          <leafValues>
-            -7.4181222915649414e-01 4.5842900872230530e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1062 2.9205000028014183e-03</internalNodes>
-          <leafValues>
-            -4.9970790743827820e-02 1.7052419483661652e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1063 -4.9792099744081497e-03</internalNodes>
-          <leafValues>
-            -4.2470470070838928e-01 1.1333269998431206e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1064 7.5309360399842262e-03</internalNodes>
-          <leafValues>
-            2.0063450559973717e-02 -4.8175561428070068e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1065 -1.2063170224428177e-01</internalNodes>
-          <leafValues>
-            1.7838390171527863e-01 -4.0402330458164215e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1066 6.4506952185183764e-05</internalNodes>
-          <leafValues>
-            -8.5854247212409973e-02 1.0695320367813110e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1067 1.4073869585990906e-01</internalNodes>
-          <leafValues>
-            -2.2774249315261841e-02 4.2583781480789185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1068 5.8708712458610535e-04</internalNodes>
-          <leafValues>
-            -5.8570150285959244e-02 1.5563260018825531e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1069 4.2137140553677455e-05</internalNodes>
-          <leafValues>
-            -5.7670820504426956e-02 6.4898878335952759e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1070 -5.4859159718034789e-05</internalNodes>
-          <leafValues>
-            1.3831870257854462e-01 -9.3551620841026306e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1071 -8.1318263255525380e-05</internalNodes>
-          <leafValues>
-            7.8673712909221649e-02 -5.8452989906072617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1072 1.0710170317906886e-04</internalNodes>
-          <leafValues>
-            -1.0360690206289291e-01 1.1052910238504410e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1073 5.9485197998583317e-03</internalNodes>
-          <leafValues>
-            1.2473990209400654e-02 -6.0467267036437988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1074 -3.8341151084750891e-03</internalNodes>
-          <leafValues>
-            -5.6510668992996216e-01 1.3957980088889599e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1075 4.8183299601078033e-02</internalNodes>
-          <leafValues>
-            6.8787620402872562e-03 -2.2651989758014679e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1076 9.8468521609902382e-03</internalNodes>
-          <leafValues>
-            1.4920420013368130e-02 -5.4084217548370361e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1077 7.0795980282127857e-03</internalNodes>
-          <leafValues>
-            -7.4058413505554199e-02 1.2125100195407867e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1078 -1.7187669873237610e-03</internalNodes>
-          <leafValues>
-            1.1502750217914581e-01 -7.6794423162937164e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1079 1.4132119715213776e-02</internalNodes>
-          <leafValues>
-            2.2234810516238213e-02 -3.7139910459518433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1080 -8.0704037100076675e-03</internalNodes>
-          <leafValues>
-            -2.5363108515739441e-01 3.0734410509467125e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1081 2.2837559878826141e-01</internalNodes>
-          <leafValues>
-            1.6856970265507698e-02 -5.4566478729248047e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1082 -1.0697550140321255e-02</internalNodes>
-          <leafValues>
-            1.7055040597915649e-01 -4.8232439905405045e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1083 6.1057992279529572e-03</internalNodes>
-          <leafValues>
-            -7.4780799448490143e-02 1.2449649721384048e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1084 3.5825320519506931e-03</internalNodes>
-          <leafValues>
-            3.4310609102249146e-02 -2.5292119383811951e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1085 8.7969396263360977e-03</internalNodes>
-          <leafValues>
-            2.2731840610504150e-02 -2.0921200513839722e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1086 -1.1760019697248936e-02</internalNodes>
-          <leafValues>
-            -5.7893252372741699e-01 1.5020879916846752e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1087 1.4420140068978071e-03</internalNodes>
-          <leafValues>
-            1.0806700214743614e-02 -1.7435030639171600e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1088 -4.9062469770433381e-05</internalNodes>
-          <leafValues>
-            8.9151002466678619e-02 -9.4639152288436890e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1089 3.3054608851671219e-02</internalNodes>
-          <leafValues>
-            -5.0297331064939499e-02 7.2425939142704010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1090 -4.4932190328836441e-02</internalNodes>
-          <leafValues>
-            7.1401320397853851e-02 -1.2465400248765945e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1091 -1.2327450327575207e-02</internalNodes>
-          <leafValues>
-            2.2164380550384521e-01 -1.6039999201893806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1092 -3.7249261140823364e-01</internalNodes>
-          <leafValues>
-            -3.6931529641151428e-01 2.6002220809459686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1093 1.5276310034096241e-02</internalNodes>
-          <leafValues>
-            5.3399899043142796e-03 -5.4567837715148926e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1094 -1.4568739570677280e-02</internalNodes>
-          <leafValues>
-            -5.8832311630249023e-01 1.3987700454890728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1095 9.9890248384326696e-04</internalNodes>
-          <leafValues>
-            -3.5881079733371735e-02 1.7432570457458496e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>201</maxWeakCount>
-      <stageThreshold>-1.2964390516281128e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1096 5.7295080274343491e-02</internalNodes>
-          <leafValues>
-            -1.7686650156974792e-01 2.4482910335063934e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1097 -1.0082540102303028e-02</internalNodes>
-          <leafValues>
-            1.3789190351963043e-01 -2.0311470329761505e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1098 -1.8525039777159691e-02</internalNodes>
-          <leafValues>
-            1.6239729523658752e-01 -1.6761909425258636e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1099 -5.2754491567611694e-02</internalNodes>
-          <leafValues>
-            1.3471050560474396e-01 -1.4288149774074554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1100 2.4354750290513039e-02</internalNodes>
-          <leafValues>
-            -2.6654679328203201e-02 4.3264889717102051e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1101 6.3417963683605194e-02</internalNodes>
-          <leafValues>
-            4.2261090129613876e-02 -4.0131768584251404e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1102 3.8921029772609472e-03</internalNodes>
-          <leafValues>
-            -1.9067509472370148e-01 1.2673160433769226e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1103 1.5238909982144833e-03</internalNodes>
-          <leafValues>
-            -1.3715469837188721e-01 1.2464399635791779e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1104 -6.7657418549060822e-03</internalNodes>
-          <leafValues>
-            2.5582429766654968e-01 -6.0715261846780777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1105 -2.4176370352506638e-02</internalNodes>
-          <leafValues>
-            2.8598898649215698e-01 -6.4212836325168610e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1106 -9.1761918738484383e-03</internalNodes>
-          <leafValues>
-            1.0218480229377747e-01 -1.9994470477104187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1107 -1.5783999860286713e-01</internalNodes>
-          <leafValues>
-            2.3983080685138702e-01 -7.8578352928161621e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1108 4.8740189522504807e-02</internalNodes>
-          <leafValues>
-            -1.1009140312671661e-01 1.5583530068397522e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1109 1.9117979332804680e-02</internalNodes>
-          <leafValues>
-            1.9706699997186661e-02 -3.7202331423759460e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1110 -1.2778160162270069e-02</internalNodes>
-          <leafValues>
-            -4.1600129008293152e-01 3.5378720611333847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1111 2.6996301021426916e-03</internalNodes>
-          <leafValues>
-            -9.8559737205505371e-02 1.1491440236568451e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1112 2.4502199143171310e-02</internalNodes>
-          <leafValues>
-            4.3092079460620880e-02 -3.6632940173149109e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1113 8.5003130137920380e-02</internalNodes>
-          <leafValues>
-            4.3011400848627090e-02 -2.8862899541854858e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1114 3.1647530850023031e-03</internalNodes>
-          <leafValues>
-            -1.1429309844970703e-01 1.2794250249862671e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1115 1.1657790280878544e-02</internalNodes>
-          <leafValues>
-            -5.1525581628084183e-02 1.4223769307136536e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1116 -6.6801449283957481e-03</internalNodes>
-          <leafValues>
-            -4.7431039810180664e-01 2.8730580583214760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1117 -3.8820769637823105e-02</internalNodes>
-          <leafValues>
-            9.5313400030136108e-02 -4.7390919178724289e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1118 -2.5421770289540291e-02</internalNodes>
-          <leafValues>
-            -4.2198818922042847e-01 2.8437789529561996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1119 -1.2146069668233395e-02</internalNodes>
-          <leafValues>
-            1.8300829827785492e-01 -7.6282076537609100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1120 -2.6787219569087029e-02</internalNodes>
-          <leafValues>
-            2.8593730926513672e-01 -5.2229799330234528e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1121 -1.1614990420639515e-02</internalNodes>
-          <leafValues>
-            1.1385949701070786e-01 -6.6350683569908142e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1122 -5.9956889599561691e-02</internalNodes>
-          <leafValues>
-            2.7779400348663330e-01 -4.7004148364067078e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1123 -8.6737014353275299e-03</internalNodes>
-          <leafValues>
-            2.1291969716548920e-01 -2.8776409104466438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1124 2.8543549124151468e-03</internalNodes>
-          <leafValues>
-            -1.2216369807720184e-01 1.4215940237045288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1125 2.2713060025125742e-03</internalNodes>
-          <leafValues>
-            1.8237510696053505e-02 -4.1043540835380554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1126 -1.2334890197962523e-03</internalNodes>
-          <leafValues>
-            -3.7727451324462891e-01 3.5043578594923019e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1127 -2.6904400438070297e-03</internalNodes>
-          <leafValues>
-            -4.1960981488227844e-01 1.0044580325484276e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1128 -2.6551370974630117e-03</internalNodes>
-          <leafValues>
-            1.1507959663867950e-01 -1.0722310096025467e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1129 -5.6895318266469985e-05</internalNodes>
-          <leafValues>
-            4.1630361229181290e-02 -3.1723231077194214e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1130 9.8731368780136108e-04</internalNodes>
-          <leafValues>
-            4.2971551418304443e-02 -2.8150218725204468e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1131 1.8213579431176186e-02</internalNodes>
-          <leafValues>
-            -4.5183058828115463e-02 1.9148880243301392e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1132 -8.7277270853519440e-02</internalNodes>
-          <leafValues>
-            1.7189629375934601e-01 -1.2195999920368195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1133 -5.3898650221526623e-03</internalNodes>
-          <leafValues>
-            -3.8666540384292603e-01 1.5535250306129456e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1134 1.0853979736566544e-02</internalNodes>
-          <leafValues>
-            3.6484178155660629e-02 -3.9597511291503906e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1135 -4.1801291517913342e-03</internalNodes>
-          <leafValues>
-            -4.8202338814735413e-01 1.7042439430952072e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1136 -2.3451769724488258e-02</internalNodes>
-          <leafValues>
-            4.9864768981933594e-01 -2.2096080705523491e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1137 2.9061511158943176e-03</internalNodes>
-          <leafValues>
-            2.6948669925332069e-02 -3.2566240429878235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1138 4.6364609152078629e-02</internalNodes>
-          <leafValues>
-            2.6882030069828033e-02 -3.7629741430282593e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1139 -2.1972910326439887e-04</internalNodes>
-          <leafValues>
-            7.0536717772483826e-02 -1.0895930230617523e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1140 -3.7804399617016315e-03</internalNodes>
-          <leafValues>
-            -4.8879170417785645e-01 1.9993200898170471e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1141 6.0642170865321532e-05</internalNodes>
-          <leafValues>
-            -7.5357668101787567e-02 8.1142887473106384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1142 -1.0688889771699905e-02</internalNodes>
-          <leafValues>
-            2.2067229449748993e-01 -5.6204140186309814e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1143 4.3683178722858429e-02</internalNodes>
-          <leafValues>
-            -6.1082210391759872e-02 1.7125819623470306e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1144 -2.0247129723429680e-02</internalNodes>
-          <leafValues>
-            1.5655870735645294e-01 -7.7006831765174866e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1145 -5.9285280294716358e-03</internalNodes>
-          <leafValues>
-            -4.3693101406097412e-01 2.0276429131627083e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1146 1.1349200271070004e-02</internalNodes>
-          <leafValues>
-            -5.9775028377771378e-02 1.6517449915409088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1147 -1.3657160103321075e-01</internalNodes>
-          <leafValues>
-            -8.7073618173599243e-01 4.2868419550359249e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1148 6.6304646432399750e-02</internalNodes>
-          <leafValues>
-            -3.8869779556989670e-02 2.6494520902633667e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1149 1.9591119140386581e-02</internalNodes>
-          <leafValues>
-            -8.0344326794147491e-02 1.6651239991188049e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1150 3.4093219786882401e-02</internalNodes>
-          <leafValues>
-            2.6182109490036964e-02 -4.5268338918685913e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1151 -2.0616619288921356e-01</internalNodes>
-          <leafValues>
-            -4.2545890808105469e-01 1.5678849071264267e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1152 -7.6675140298902988e-03</internalNodes>
-          <leafValues>
-            -3.5133340954780579e-01 2.7434019371867180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1153 -1.2914510443806648e-02</internalNodes>
-          <leafValues>
-            1.3598570227622986e-01 -6.3368737697601318e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1154 1.6074230894446373e-02</internalNodes>
-          <leafValues>
-            2.1521290764212608e-02 -4.6437129378318787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1155 3.6943029612302780e-02</internalNodes>
-          <leafValues>
-            2.7475500479340553e-02 -3.0736088752746582e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1156 -7.5521357357501984e-02</internalNodes>
-          <leafValues>
-            -4.2419311404228210e-01 2.3781700059771538e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1157 2.4398239329457283e-02</internalNodes>
-          <leafValues>
-            -4.9387931823730469e-02 1.6724020242691040e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1158 1.1577049642801285e-01</internalNodes>
-          <leafValues>
-            1.6644010320305824e-02 -6.9280111789703369e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1159 9.1529998462647200e-04</internalNodes>
-          <leafValues>
-            -5.0280008465051651e-02 1.3285259902477264e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1160 -3.6248450633138418e-03</internalNodes>
-          <leafValues>
-            -3.0668339133262634e-01 2.8492359444499016e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1161 -7.3581631295382977e-04</internalNodes>
-          <leafValues>
-            5.5988568812608719e-02 -3.9279788732528687e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1162 2.0004369318485260e-01</internalNodes>
-          <leafValues>
-            -5.6840810924768448e-02 1.6850389540195465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1163 -1.7877690494060516e-02</internalNodes>
-          <leafValues>
-            1.9317519664764404e-01 -5.1463939249515533e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1164 1.1350380256772041e-02</internalNodes>
-          <leafValues>
-            -4.8964411020278931e-02 2.1819390356540680e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1165 1.2502909637987614e-02</internalNodes>
-          <leafValues>
-            -4.1984878480434418e-02 2.7138620615005493e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1166 -9.3033276498317719e-03</internalNodes>
-          <leafValues>
-            1.5904520452022552e-01 -6.2697403132915497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1167 9.8205171525478363e-03</internalNodes>
-          <leafValues>
-            1.5533110126852989e-02 -3.3040758967399597e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1168 4.4993069022893906e-03</internalNodes>
-          <leafValues>
-            3.7670239806175232e-02 -3.1121370196342468e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1169 1.4046450145542622e-02</internalNodes>
-          <leafValues>
-            -4.3426249176263809e-02 1.0327199846506119e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1170 -4.1117519140243530e-02</internalNodes>
-          <leafValues>
-            1.8679919838905334e-01 -6.6434368491172791e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1171 -1.0714519768953323e-02</internalNodes>
-          <leafValues>
-            1.2443839758634567e-01 -6.6358536481857300e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1172 9.2895422130823135e-03</internalNodes>
-          <leafValues>
-            -8.2169853150844574e-02 1.2243539839982986e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1173 -1.3050800189375877e-02</internalNodes>
-          <leafValues>
-            -4.0033888816833496e-01 1.6636909916996956e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1174 -3.6468189209699631e-02</internalNodes>
-          <leafValues>
-            -5.4737377166748047e-01 1.4817729592323303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1175 -7.5372940045781434e-05</internalNodes>
-          <leafValues>
-            5.9471640735864639e-02 -5.7879000902175903e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1176 1.4252290129661560e-02</internalNodes>
-          <leafValues>
-            2.5297269225120544e-02 -3.3364731073379517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1177 3.3469200134277344e-03</internalNodes>
-          <leafValues>
-            -7.0736803114414215e-02 7.4501320719718933e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1178 4.4445958919823170e-03</internalNodes>
-          <leafValues>
-            -6.7245952785015106e-02 1.4518859982490540e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1179 -8.7205823510885239e-03</internalNodes>
-          <leafValues>
-            -2.0213529467582703e-01 2.7520239353179932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1180 4.6921689063310623e-02</internalNodes>
-          <leafValues>
-            1.6156850382685661e-02 -5.3119277954101562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1181 5.8387980971019715e-05</internalNodes>
-          <leafValues>
-            -5.5716171860694885e-02 7.2010621428489685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1182 -4.6103101340122521e-05</internalNodes>
-          <leafValues>
-            9.5903009176254272e-02 -9.7147382795810699e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1183 6.0657761059701443e-03</internalNodes>
-          <leafValues>
-            2.4071209132671356e-02 -2.3760910332202911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1184 -5.5520370602607727e-02</internalNodes>
-          <leafValues>
-            3.0745118856430054e-01 -2.9971180483698845e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1185 -3.6553900688886642e-02</internalNodes>
-          <leafValues>
-            3.2812029123306274e-02 -5.7015221565961838e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1186 1.8784699495881796e-03</internalNodes>
-          <leafValues>
-            -6.5326198935508728e-02 1.3909830152988434e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1187 -7.4822120368480682e-03</internalNodes>
-          <leafValues>
-            -7.7482169866561890e-01 5.9286328032612801e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1188 -3.3365150447934866e-03</internalNodes>
-          <leafValues>
-            -3.6160850524902344e-01 2.2673750296235085e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1189 -1.2254999950528145e-02</internalNodes>
-          <leafValues>
-            -6.5802180767059326e-01 4.3241591192781925e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1190 -2.5022740010172129e-04</internalNodes>
-          <leafValues>
-            1.3684910535812378e-01 -6.1310190707445145e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1191 1.1895839869976044e-01</internalNodes>
-          <leafValues>
-            2.4467010051012039e-02 -3.0819290876388550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1192 1.8534749979153275e-03</internalNodes>
-          <leafValues>
-            -6.5717779099941254e-02 1.3805060088634491e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1193 -1.3966379687190056e-02</internalNodes>
-          <leafValues>
-            -4.2816719412803650e-01 1.6665250062942505e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1194 -1.2011890299618244e-02</internalNodes>
-          <leafValues>
-            -4.5466750860214233e-01 1.7481390386819839e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1195 8.6380320135504007e-04</internalNodes>
-          <leafValues>
-            2.6830639690160751e-02 -1.9495770335197449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1196 -5.4863549303263426e-04</internalNodes>
-          <leafValues>
-            1.7281720042228699e-01 -5.1925048232078552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1197 3.5642020404338837e-02</internalNodes>
-          <leafValues>
-            1.1997340247035027e-02 -2.6362249255180359e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1198 9.2830741778016090e-03</internalNodes>
-          <leafValues>
-            1.5381329692900181e-02 -5.2768671512603760e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1199 3.3444799482822418e-03</internalNodes>
-          <leafValues>
-            -4.4816508889198303e-02 1.5563699603080750e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1200 -3.4852489829063416e-02</internalNodes>
-          <leafValues>
-            -6.1446517705917358e-01 1.4714409597218037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1201 -3.6836538929492235e-03</internalNodes>
-          <leafValues>
-            6.7999623715877533e-02 -4.0318191051483154e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1202 2.6370671112090349e-03</internalNodes>
-          <leafValues>
-            -5.2716590464115143e-02 1.6502730548381805e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1203 -1.1408380232751369e-03</internalNodes>
-          <leafValues>
-            -1.4956669509410858e-01 1.5529209747910500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1204 -5.5604642257094383e-03</internalNodes>
-          <leafValues>
-            1.0151620209217072e-01 -7.8308418393135071e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1205 3.1304020434617996e-02</internalNodes>
-          <leafValues>
-            -5.1962178200483322e-02 1.0363990068435669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1206 9.2903850600123405e-03</internalNodes>
-          <leafValues>
-            -5.3988721221685410e-02 1.6530619561672211e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1207 -1.0893030092120171e-02</internalNodes>
-          <leafValues>
-            1.2810139358043671e-01 -7.3412962257862091e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1208 -4.9190609715878963e-03</internalNodes>
-          <leafValues>
-            -3.5075309872627258e-01 2.4489160627126694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1209 8.1175416707992554e-02</internalNodes>
-          <leafValues>
-            2.0940639078617096e-02 -3.7765330076217651e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1210 -7.1189319714903831e-03</internalNodes>
-          <leafValues>
-            1.3209669291973114e-01 -7.4379600584506989e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1211 2.9033590108156204e-02</internalNodes>
-          <leafValues>
-            -6.0153428465127945e-02 1.6865250468254089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1212 2.6668590307235718e-01</internalNodes>
-          <leafValues>
-            3.0215110629796982e-02 -3.3363750576972961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1213 1.3437710003927350e-03</internalNodes>
-          <leafValues>
-            2.4461960420012474e-02 -3.4976521134376526e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1214 -6.4065970946103334e-05</internalNodes>
-          <leafValues>
-            6.8185970187187195e-02 -1.2182369828224182e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1215 -2.2273659706115723e-03</internalNodes>
-          <leafValues>
-            5.9166438877582550e-02 -5.6960988789796829e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1216 1.0822839976754040e-04</internalNodes>
-          <leafValues>
-            -1.1836750060319901e-01 6.9902807474136353e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1217 7.7762501314282417e-03</internalNodes>
-          <leafValues>
-            1.8266340717673302e-02 -3.2388371229171753e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1218 -8.5627898806706071e-04</internalNodes>
-          <leafValues>
-            1.5964969992637634e-01 -5.2340108901262283e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1219 3.9805951528251171e-03</internalNodes>
-          <leafValues>
-            5.6993248872458935e-03 -6.3849228620529175e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1220 -4.9052381655201316e-04</internalNodes>
-          <leafValues>
-            1.6294740140438080e-01 -7.4230141937732697e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1221 -1.8403500318527222e-02</internalNodes>
-          <leafValues>
-            -6.7734432220458984e-01 1.0705940425395966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1222 -8.9714571367949247e-04</internalNodes>
-          <leafValues>
-            1.6919730603694916e-01 -4.7718539834022522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1223 -1.6734110191464424e-02</internalNodes>
-          <leafValues>
-            -3.1512379646301270e-01 1.2442049570381641e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1224 -1.1976989917457104e-02</internalNodes>
-          <leafValues>
-            -5.2932238578796387e-01 1.4436270110309124e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1225 7.0368088781833649e-03</internalNodes>
-          <leafValues>
-            2.6491589844226837e-02 -2.4709920585155487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1226 -1.0579899884760380e-02</internalNodes>
-          <leafValues>
-            -4.0928080677986145e-01 1.8759179860353470e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1227 6.0849997680634260e-04</internalNodes>
-          <leafValues>
-            -3.3409450203180313e-02 8.4388449788093567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1228 -5.9445307124406099e-04</internalNodes>
-          <leafValues>
-            1.4124199748039246e-01 -5.5558290332555771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1229 -1.5759410336613655e-02</internalNodes>
-          <leafValues>
-            -3.8335001468658447e-01 1.5663359314203262e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1230 -1.0108030401170254e-02</internalNodes>
-          <leafValues>
-            -3.3914390206336975e-01 2.0997010171413422e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1231 8.8242385536432266e-03</internalNodes>
-          <leafValues>
-            4.6882901340723038e-02 -3.4558109939098358e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1232 1.6952809691429138e-01</internalNodes>
-          <leafValues>
-            -2.9788380488753319e-02 2.9782000184059143e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1233 1.4175090473145247e-03</internalNodes>
-          <leafValues>
-            1.4550680294632912e-02 -2.5577118992805481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1234 -6.2455357983708382e-03</internalNodes>
-          <leafValues>
-            1.7031440138816833e-01 -4.5718509703874588e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1235 8.2971990108489990e-02</internalNodes>
-          <leafValues>
-            -1.0885650292038918e-02 2.3585709929466248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1236 -3.6387961357831955e-02</internalNodes>
-          <leafValues>
-            7.2063557803630829e-02 -1.3514919579029083e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1237 2.6058170199394226e-01</internalNodes>
-          <leafValues>
-            3.0760489404201508e-02 -2.0818600058555603e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1238 -1.8370869755744934e-01</internalNodes>
-          <leafValues>
-            -4.6199840307235718e-01 1.7690069973468781e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1239 -3.9726989343762398e-03</internalNodes>
-          <leafValues>
-            -1.6608929634094238e-01 2.0946720615029335e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1240 2.1455910056829453e-02</internalNodes>
-          <leafValues>
-            2.3147830739617348e-02 -3.6254659295082092e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1241 1.4431820251047611e-02</internalNodes>
-          <leafValues>
-            4.4689280912280083e-03 -2.4459290504455566e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1242 -3.3524229656904936e-03</internalNodes>
-          <leafValues>
-            -2.4808409810066223e-01 3.1635299324989319e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1243 -1.5669470652937889e-02</internalNodes>
-          <leafValues>
-            3.1724831461906433e-01 -3.7489920854568481e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1244 -4.0077429264783859e-02</internalNodes>
-          <leafValues>
-            -2.5897759199142456e-01 3.2734971493482590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1245 1.2361209839582443e-02</internalNodes>
-          <leafValues>
-            -4.5074861496686935e-02 1.6906499862670898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1246 1.0967889800667763e-02</internalNodes>
-          <leafValues>
-            1.8792109563946724e-02 -4.3848529458045959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1247 -1.3743470422923565e-02</internalNodes>
-          <leafValues>
-            -4.6097651124000549e-01 1.2236960232257843e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1248 -1.0322439484298229e-03</internalNodes>
-          <leafValues>
-            1.6485999524593353e-01 -5.1658768206834793e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1249 8.8313361629843712e-03</internalNodes>
-          <leafValues>
-            1.5935530886054039e-02 -2.0159539580345154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1250 1.4420679770410061e-02</internalNodes>
-          <leafValues>
-            1.6077350825071335e-02 -4.6416330337524414e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1251 -1.8205989617854357e-03</internalNodes>
-          <leafValues>
-            4.3313421308994293e-02 -2.8083719313144684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1252 3.9304671809077263e-03</internalNodes>
-          <leafValues>
-            4.9701198935508728e-02 -1.5147739648818970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1253 -8.3210691809654236e-03</internalNodes>
-          <leafValues>
-            -1.0299280285835266e-01 1.7981389537453651e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1254 -1.1277500307187438e-03</internalNodes>
-          <leafValues>
-            1.6595210134983063e-01 -4.8344310373067856e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1255 -7.8385067172348499e-04</internalNodes>
-          <leafValues>
-            -1.9464610517024994e-01 2.5084519758820534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1256 -8.5464341100305319e-04</internalNodes>
-          <leafValues>
-            1.4730739593505859e-01 -5.2989389747381210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1257 -6.1449417844414711e-03</internalNodes>
-          <leafValues>
-            9.5158338546752930e-02 -3.2354518771171570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1258 5.3742229938507080e-02</internalNodes>
-          <leafValues>
-            -1.6013909131288528e-02 5.1783877611160278e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1259 -9.1773690655827522e-03</internalNodes>
-          <leafValues>
-            6.5873071551322937e-02 -2.8698600828647614e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1260 -1.6262140125036240e-03</internalNodes>
-          <leafValues>
-            1.1650130152702332e-01 -6.6200569272041321e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1261 -7.0246770977973938e-02</internalNodes>
-          <leafValues>
-            -5.5616712570190430e-01 3.3650770783424377e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1262 -4.5713048428297043e-02</internalNodes>
-          <leafValues>
-            -5.5543631315231323e-01 1.4523830264806747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1263 -1.6252630157396197e-03</internalNodes>
-          <leafValues>
-            7.7445946633815765e-02 -4.7753591090440750e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1264 -8.7784547358751297e-03</internalNodes>
-          <leafValues>
-            -6.6605579853057861e-01 1.1499799787998199e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1265 5.8178059756755829e-02</internalNodes>
-          <leafValues>
-            -1.2690190225839615e-02 2.4311649799346924e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1266 -1.0166700230911374e-03</internalNodes>
-          <leafValues>
-            1.7018359899520874e-01 -4.3462678790092468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1267 -8.3186908159404993e-04</internalNodes>
-          <leafValues>
-            -1.5544170141220093e-01 2.7767969295382500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1268 1.0635660146363080e-04</internalNodes>
-          <leafValues>
-            -7.9961076378822327e-02 9.7552523016929626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1269 7.7358598355203867e-04</internalNodes>
-          <leafValues>
-            2.8019739314913750e-02 -1.6409790515899658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1270 -5.1288288086652756e-03</internalNodes>
-          <leafValues>
-            1.4355009794235229e-01 -5.2181150764226913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1271 -2.9623789712786674e-02</internalNodes>
-          <leafValues>
-            1.2567119300365448e-01 -7.2701826691627502e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1272 4.7920320183038712e-02</internalNodes>
-          <leafValues>
-            -6.2750786542892456e-02 1.4967499673366547e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1273 2.9907789081335068e-02</internalNodes>
-          <leafValues>
-            3.3279890194535255e-03 -5.3522837162017822e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1274 -3.1103161163628101e-03</internalNodes>
-          <leafValues>
-            -1.8463380634784698e-01 4.0260940790176392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1275 1.1777599574998021e-03</internalNodes>
-          <leafValues>
-            -4.2148880660533905e-02 1.8332019448280334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1276 1.4972169883549213e-02</internalNodes>
-          <leafValues>
-            -5.0178010016679764e-02 1.4795599877834320e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1277 2.2697489708662033e-02</internalNodes>
-          <leafValues>
-            8.8858045637607574e-03 -3.5102608799934387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1278 1.2884129770100117e-02</internalNodes>
-          <leafValues>
-            3.4654911607503891e-02 -2.4061930179595947e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1279 -1.1240700259804726e-03</internalNodes>
-          <leafValues>
-            1.3145309686660767e-01 -2.8843039646744728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1280 -1.3627869775518775e-03</internalNodes>
-          <leafValues>
-            2.0138439536094666e-01 -3.7955548614263535e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1281 5.3557957289740443e-04</internalNodes>
-          <leafValues>
-            2.7959279716014862e-02 -1.1965149641036987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1282 -1.5280179679393768e-02</internalNodes>
-          <leafValues>
-            -4.8518699407577515e-01 1.5622369945049286e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1283 4.6412500523729250e-05</internalNodes>
-          <leafValues>
-            -5.8938909322023392e-02 6.0108929872512817e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1284 9.6553878393024206e-05</internalNodes>
-          <leafValues>
-            -9.6594870090484619e-02 7.7917523682117462e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1285 3.8991239853203297e-03</internalNodes>
-          <leafValues>
-            -2.6182200759649277e-02 1.9023859500885010e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1286 2.3785470053553581e-02</internalNodes>
-          <leafValues>
-            4.0359679609537125e-02 -1.7933170497417450e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1287 5.9117228374816477e-05</internalNodes>
-          <leafValues>
-            -6.7694537341594696e-02 7.8966610133647919e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1288 5.8535519987344742e-02</internalNodes>
-          <leafValues>
-            -2.7913320809602737e-02 2.6359620690345764e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1289 -6.7125670611858368e-03</internalNodes>
-          <leafValues>
-            -8.2460111379623413e-01 3.6960430443286896e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1290 -4.6747662127017975e-03</internalNodes>
-          <leafValues>
-            -7.6254647970199585e-01 9.2743840068578720e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1291 5.3981528617441654e-03</internalNodes>
-          <leafValues>
-            1.9147379789501429e-03 -8.0577397346496582e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1292 7.7252141200006008e-03</internalNodes>
-          <leafValues>
-            -8.2200609147548676e-02 9.2598602175712585e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1293 -1.1672140099108219e-03</internalNodes>
-          <leafValues>
-            1.1479389667510986e-01 -4.5965019613504410e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1294 -7.4022258631885052e-03</internalNodes>
-          <leafValues>
-            -4.2622160911560059e-01 1.7451889812946320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1295 6.5430802351329476e-05</internalNodes>
-          <leafValues>
-            -4.4547699391841888e-02 4.9818251281976700e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1296 4.6353430661838502e-05</internalNodes>
-          <leafValues>
-            -8.2009993493556976e-02 9.2233128845691681e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>218</maxWeakCount>
-      <stageThreshold>-1.2540320158004761e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1297 1.0560779832303524e-02</internalNodes>
-          <leafValues>
-            -1.7285460233688354e-01 2.0729510486125946e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1298 -3.8237389177083969e-02</internalNodes>
-          <leafValues>
-            1.7711129784584045e-01 -1.5853039920330048e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1299 -5.4120671004056931e-02</internalNodes>
-          <leafValues>
-            2.5644430518150330e-01 -8.8433571159839630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1300 -2.2004460915923119e-03</internalNodes>
-          <leafValues>
-            2.0103460550308228e-01 -1.1016409844160080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1301 6.5438866615295410e-02</internalNodes>
-          <leafValues>
-            7.8213139204308391e-04 -4.3508232421875000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1302 -1.3564580120146275e-02</internalNodes>
-          <leafValues>
-            -5.4078108072280884e-01 4.8653590492904186e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1303 -1.8708320567384362e-03</internalNodes>
-          <leafValues>
-            1.6335619986057281e-01 -1.2285909801721573e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1304 1.6992689669132233e-01</internalNodes>
-          <leafValues>
-            -4.5410599559545517e-03 4.8108500242233276e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1305 3.5981500986963511e-03</internalNodes>
-          <leafValues>
-            3.5675730556249619e-02 -4.2361581325531006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1306 5.4489761590957642e-01</internalNodes>
-          <leafValues>
-            -1.9873559474945068e-02 5.4604721069335938e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1307 -6.2775306403636932e-02</internalNodes>
-          <leafValues>
-            1.7221370339393616e-01 -1.1438000202178955e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1308 -4.5944411307573318e-02</internalNodes>
-          <leafValues>
-            2.5957840681076050e-01 -7.3221608996391296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1309 2.1809421014040709e-03</internalNodes>
-          <leafValues>
-            4.9543481320142746e-02 -3.1750869750976562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1310 -9.6566081047058105e-03</internalNodes>
-          <leafValues>
-            1.5817630290985107e-01 -8.9046843349933624e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1311 8.0804243683815002e-02</internalNodes>
-          <leafValues>
-            5.0327628850936890e-02 -2.8871178627014160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1312 9.8778933286666870e-02</internalNodes>
-          <leafValues>
-            -3.8188338279724121e-02 3.1198310852050781e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1313 8.4114018827676773e-03</internalNodes>
-          <leafValues>
-            -9.4993650913238525e-02 1.3448500633239746e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1314 -1.4770099893212318e-02</internalNodes>
-          <leafValues>
-            1.7157199978828430e-01 -7.5040556490421295e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1315 1.0575640201568604e-01</internalNodes>
-          <leafValues>
-            -4.4023178517818451e-02 3.4951940178871155e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1316 4.0104389190673828e-02</internalNodes>
-          <leafValues>
-            -5.7279150933027267e-02 2.7639150619506836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1317 1.3599339872598648e-02</internalNodes>
-          <leafValues>
-            -8.8640242815017700e-02 1.5966300666332245e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1318 -3.3378789667040110e-03</internalNodes>
-          <leafValues>
-            -4.9908700585365295e-01 7.1760369464755058e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1319 6.5490198321640491e-03</internalNodes>
-          <leafValues>
-            -5.9780698269605637e-02 2.1105900406837463e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1320 -6.2758670537732542e-05</internalNodes>
-          <leafValues>
-            6.5547652542591095e-02 -5.4199248552322388e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1321 9.0889551211148500e-04</internalNodes>
-          <leafValues>
-            4.2570099234580994e-02 -2.8287160396575928e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1322 8.8103182613849640e-02</internalNodes>
-          <leafValues>
-            4.0662709623575211e-02 -2.9837289452552795e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1323 -1.3515380024909973e-01</internalNodes>
-          <leafValues>
-            -4.0110760927200317e-01 2.5998929515480995e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1324 1.0549680329859257e-02</internalNodes>
-          <leafValues>
-            2.6560230180621147e-02 -3.5546660423278809e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1325 -1.0974519886076450e-02</internalNodes>
-          <leafValues>
-            1.5402090549468994e-01 -7.1584962308406830e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1326 -1.2810549698770046e-02</internalNodes>
-          <leafValues>
-            -2.6804751157760620e-01 2.0543249323964119e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1327 -6.7375123500823975e-02</internalNodes>
-          <leafValues>
-            -5.2991771697998047e-01 1.9250020384788513e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1328 1.3328590430319309e-02</internalNodes>
-          <leafValues>
-            1.4192479662597179e-02 -2.6928961277008057e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1329 -3.4924790263175964e-02</internalNodes>
-          <leafValues>
-            2.8777620196342468e-01 -3.6692250519990921e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1330 -2.5960700586438179e-02</internalNodes>
-          <leafValues>
-            -5.2505880594253540e-01 4.2013241909444332e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1331 -1.4432610012590885e-02</internalNodes>
-          <leafValues>
-            -4.4046211242675781e-01 2.3941269144415855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1332 1.0242980206385255e-03</internalNodes>
-          <leafValues>
-            -8.1329412758350372e-02 1.0900759696960449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1333 -3.3913699444383383e-03</internalNodes>
-          <leafValues>
-            -2.7442601323127747e-01 3.5398051142692566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1334 -2.5459110736846924e-02</internalNodes>
-          <leafValues>
-            1.8842819333076477e-01 -5.0521291792392731e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1335 -2.5063930079340935e-02</internalNodes>
-          <leafValues>
-            1.5833060443401337e-01 -6.7982017993927002e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1336 4.5757358893752098e-03</internalNodes>
-          <leafValues>
-            -5.1283899694681168e-02 1.1465849727392197e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1337 -1.5383529663085938e-01</internalNodes>
-          <leafValues>
-            4.2741459608078003e-01 -2.3353850468993187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1338 6.7441980354487896e-03</internalNodes>
-          <leafValues>
-            1.1636420153081417e-02 -1.9906160235404968e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1339 4.9857632257044315e-04</internalNodes>
-          <leafValues>
-            -1.1122179776430130e-01 9.1327317059040070e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1340 4.1650209575891495e-02</internalNodes>
-          <leafValues>
-            -3.4230709075927734e-02 1.3409090042114258e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1341 -4.8686578869819641e-02</internalNodes>
-          <leafValues>
-            3.8406088948249817e-01 -3.6709271371364594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1342 -1.4266110025346279e-02</internalNodes>
-          <leafValues>
-            1.9041019678115845e-01 -3.7326261401176453e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1343 2.0738251041620970e-03</internalNodes>
-          <leafValues>
-            -9.4080023467540741e-02 1.3675460219383240e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1344 -1.2780539691448212e-02</internalNodes>
-          <leafValues>
-            7.9020939767360687e-02 -3.2141771167516708e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1345 8.7420884519815445e-03</internalNodes>
-          <leafValues>
-            -8.0583378672599792e-02 1.4332190155982971e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1346 6.9780537160113454e-05</internalNodes>
-          <leafValues>
-            -1.5397520363330841e-01 6.9408260285854340e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1347 -7.9981610178947449e-03</internalNodes>
-          <leafValues>
-            -4.4979119300842285e-01 2.3229770362377167e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1348 5.3804512135684490e-03</internalNodes>
-          <leafValues>
-            2.4654839187860489e-02 -1.7253589630126953e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1349 -2.0006939768791199e-02</internalNodes>
-          <leafValues>
-            1.6526390612125397e-01 -6.2598757445812225e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1350 -4.4656409882009029e-03</internalNodes>
-          <leafValues>
-            -3.7304630875587463e-01 1.0551270097494125e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1351 -3.1919090542942286e-03</internalNodes>
-          <leafValues>
-            -4.4115498661994934e-01 2.0958809182047844e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1352 -6.2270428985357285e-02</internalNodes>
-          <leafValues>
-            -5.4134678840637207e-01 1.3220540247857571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1353 -4.4956348836421967e-02</internalNodes>
-          <leafValues>
-            -4.3312940001487732e-01 2.0668320357799530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1354 1.1595709947869182e-03</internalNodes>
-          <leafValues>
-            -2.3692440241575241e-02 1.0879980027675629e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1355 -8.8405620772391558e-04</internalNodes>
-          <leafValues>
-            1.6496179997920990e-01 -5.2494730800390244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1356 2.6691770181059837e-02</internalNodes>
-          <leafValues>
-            1.4845820143818855e-02 -5.5716449022293091e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1357 1.8276730552315712e-02</internalNodes>
-          <leafValues>
-            -6.6286213696002960e-02 1.2577010691165924e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1358 -8.0911338329315186e-02</internalNodes>
-          <leafValues>
-            1.1313769966363907e-01 -4.9807820469141006e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1359 -3.6403700709342957e-02</internalNodes>
-          <leafValues>
-            2.3366059362888336e-01 -3.8333971053361893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1360 -1.3947879895567894e-02</internalNodes>
-          <leafValues>
-            9.9164612591266632e-02 -6.7826092243194580e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1361 -2.2420510649681091e-02</internalNodes>
-          <leafValues>
-            1.9045069813728333e-01 -4.8424690961837769e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1362 9.9516332149505615e-02</internalNodes>
-          <leafValues>
-            -4.8220060765743256e-02 2.0561240613460541e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1363 1.4956299960613251e-01</internalNodes>
-          <leafValues>
-            1.4172339811921120e-02 -6.4508867263793945e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1364 9.6693442901596427e-04</internalNodes>
-          <leafValues>
-            -3.7843611091375351e-02 6.3549898564815521e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1365 1.2041750364005566e-02</internalNodes>
-          <leafValues>
-            1.8035089597105980e-02 -4.7741371393203735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1366 2.3097700905054808e-03</internalNodes>
-          <leafValues>
-            -4.1533429175615311e-02 1.3027940690517426e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1367 2.2019869647920132e-03</internalNodes>
-          <leafValues>
-            -5.1468931138515472e-02 1.7361460626125336e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1368 2.7255890890955925e-02</internalNodes>
-          <leafValues>
-            -1.5339000150561333e-02 3.6252358555793762e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1369 8.8747506961226463e-03</internalNodes>
-          <leafValues>
-            -4.2691629379987717e-02 2.0767800509929657e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1370 4.7241621650755405e-03</internalNodes>
-          <leafValues>
-            -5.0056781619787216e-02 8.7361179292201996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1371 7.3167313530575484e-05</internalNodes>
-          <leafValues>
-            -1.2441310286521912e-01 7.2677783668041229e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1372 -1.2639940250664949e-03</internalNodes>
-          <leafValues>
-            7.7619902789592743e-02 -4.0498621761798859e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1373 3.6909559275954962e-03</internalNodes>
-          <leafValues>
-            3.1138850376009941e-02 -3.0862191319465637e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1374 -2.8352240100502968e-02</internalNodes>
-          <leafValues>
-            -3.5501840710639954e-01 1.3532860204577446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1375 -9.6667202888056636e-04</internalNodes>
-          <leafValues>
-            6.7602843046188354e-02 -1.4329749345779419e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1376 -5.8740310370922089e-02</internalNodes>
-          <leafValues>
-            -5.5063128471374512e-01 4.2741261422634125e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1377 -2.7275739237666130e-02</internalNodes>
-          <leafValues>
-            -6.4931607246398926e-01 1.2534529902040958e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1378 -1.1755879968404770e-02</internalNodes>
-          <leafValues>
-            -5.6485652923583984e-01 1.3763760216534138e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1379 7.5923758558928967e-03</internalNodes>
-          <leafValues>
-            -4.3114069849252701e-02 2.0055860280990601e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1380 -7.1979401400312781e-04</internalNodes>
-          <leafValues>
-            -1.3741749525070190e-01 3.4067109227180481e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1381 4.1190441697835922e-03</internalNodes>
-          <leafValues>
-            3.6710578948259354e-02 -2.4774970114231110e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1382 7.5443051755428314e-03</internalNodes>
-          <leafValues>
-            7.2344779036939144e-03 -4.4737368822097778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1383 -5.2358289249241352e-03</internalNodes>
-          <leafValues>
-            2.1731640398502350e-01 -3.8680329918861389e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1384 7.4686598964035511e-04</internalNodes>
-          <leafValues>
-            -3.7170719355344772e-02 3.8519371300935745e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1385 8.8468490866944194e-04</internalNodes>
-          <leafValues>
-            -1.0209800302982330e-01 9.2614941298961639e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1386 -1.1738609755411744e-03</internalNodes>
-          <leafValues>
-            1.1087919771671295e-01 -8.5696041584014893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1387 -9.8959967494010925e-02</internalNodes>
-          <leafValues>
-            -4.4991499185562134e-01 2.1242130547761917e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1388 8.8248471729457378e-04</internalNodes>
-          <leafValues>
-            2.2897589951753616e-02 -1.9950489699840546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1389 -4.1377689689397812e-02</internalNodes>
-          <leafValues>
-            1.5493899583816528e-01 -5.9139370918273926e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1390 6.7946789786219597e-03</internalNodes>
-          <leafValues>
-            -7.8361012041568756e-02 1.7395700514316559e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1391 4.4758509844541550e-02</internalNodes>
-          <leafValues>
-            2.6089010760188103e-02 -3.3111590147018433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1392 2.9978479724377394e-03</internalNodes>
-          <leafValues>
-            4.5928150415420532e-02 -1.4914700388908386e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1393 -5.9589359909296036e-02</internalNodes>
-          <leafValues>
-            -2.4853509664535522e-01 3.2523650676012039e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1394 9.4199320301413536e-04</internalNodes>
-          <leafValues>
-            -4.2554680258035660e-02 1.3448560237884521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1395 -2.3947510868310928e-02</internalNodes>
-          <leafValues>
-            -4.5831909775733948e-01 1.7818130552768707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1396 7.4462359771132469e-03</internalNodes>
-          <leafValues>
-            -4.2358528822660446e-02 5.8031070977449417e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1397 -1.2909569777548313e-02</internalNodes>
-          <leafValues>
-            1.9730390608310699e-01 -4.4523268938064575e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1398 2.8930921107530594e-03</internalNodes>
-          <leafValues>
-            4.2881060391664505e-02 -1.3717460632324219e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1399 -6.8186258431524038e-04</internalNodes>
-          <leafValues>
-            1.3378690183162689e-01 -5.6549690663814545e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1400 9.0884382370859385e-04</internalNodes>
-          <leafValues>
-            -3.6167509853839874e-02 1.2201189994812012e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1401 4.2305429815314710e-04</internalNodes>
-          <leafValues>
-            -6.9509476423263550e-02 1.3025139272212982e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1402 -1.6460029873996973e-03</internalNodes>
-          <leafValues>
-            -1.3005359470844269e-01 3.2738208770751953e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1403 7.2493818588554859e-03</internalNodes>
-          <leafValues>
-            1.2288839556276798e-02 -6.2278699874877930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1404 7.8207803890109062e-03</internalNodes>
-          <leafValues>
-            7.4369488283991814e-03 -1.4869819581508636e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1405 3.5927280783653259e-02</internalNodes>
-          <leafValues>
-            1.8867580220103264e-02 -3.9214968681335449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1406 -6.1618811741936952e-05</internalNodes>
-          <leafValues>
-            5.6887779384851456e-02 -6.7739218473434448e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1407 3.7408068776130676e-02</internalNodes>
-          <leafValues>
-            -3.8547120988368988e-02 2.2187900543212891e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1408 -5.2155661396682262e-03</internalNodes>
-          <leafValues>
-            1.3633349537849426e-01 -6.7394860088825226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1409 -9.3568190932273865e-02</internalNodes>
-          <leafValues>
-            1.7437450587749481e-01 -4.8774711787700653e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1410 7.6228141784667969e-02</internalNodes>
-          <leafValues>
-            -5.7475849986076355e-02 1.4711800217628479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1411 -2.0037770271301270e-02</internalNodes>
-          <leafValues>
-            -4.1577899456024170e-01 1.7923019826412201e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1412 -1.1824379675090313e-02</internalNodes>
-          <leafValues>
-            1.1446230113506317e-01 -7.0048220455646515e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1413 -1.6057320171967149e-03</internalNodes>
-          <leafValues>
-            1.6788209974765778e-01 -4.9946658313274384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1414 -2.5517439935356379e-03</internalNodes>
-          <leafValues>
-            -3.8285169005393982e-01 1.1361270211637020e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1415 -9.9515629699453712e-05</internalNodes>
-          <leafValues>
-            9.2549681663513184e-02 -9.0349666774272919e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1416 -1.6710499301552773e-02</internalNodes>
-          <leafValues>
-            1.7871430516242981e-01 -4.1317749768495560e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1417 -9.6687301993370056e-04</internalNodes>
-          <leafValues>
-            -2.5220069289207458e-01 3.0552810057997704e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1418 -6.0828930145362392e-05</internalNodes>
-          <leafValues>
-            5.4259378463029861e-02 -4.7438140958547592e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1419 -8.6335372179746628e-04</internalNodes>
-          <leafValues>
-            1.7799940705299377e-01 -4.2312078177928925e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1420 -8.9218461653217673e-04</internalNodes>
-          <leafValues>
-            -1.8458789587020874e-01 2.5141609832644463e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1421 -3.4870179370045662e-03</internalNodes>
-          <leafValues>
-            1.6776649653911591e-01 -4.6044059097766876e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1422 1.9598890095949173e-02</internalNodes>
-          <leafValues>
-            1.8055850639939308e-02 -3.0225679278373718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1423 -1.0987210087478161e-02</internalNodes>
-          <leafValues>
-            -3.7276530265808105e-01 1.9768150523304939e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1424 -6.6390639403834939e-05</internalNodes>
-          <leafValues>
-            7.6856963336467743e-02 -1.2683600187301636e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1425 -4.2606238275766373e-03</internalNodes>
-          <leafValues>
-            1.1328200250864029e-01 -6.9660402834415436e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1426 7.3147160001099110e-03</internalNodes>
-          <leafValues>
-            3.2997671514749527e-02 -2.6462730765342712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1427 -1.0119480080902576e-02</internalNodes>
-          <leafValues>
-            -4.7061848640441895e-01 1.3846470043063164e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1428 9.2144332826137543e-02</internalNodes>
-          <leafValues>
-            -8.8630668818950653e-02 8.0828502774238586e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1429 1.1842589825391769e-02</internalNodes>
-          <leafValues>
-            -5.4271340370178223e-02 1.5906229615211487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1430 2.6060450822114944e-02</internalNodes>
-          <leafValues>
-            2.0219080150127411e-02 -3.7096428871154785e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1431 2.8632500767707825e-01</internalNodes>
-          <leafValues>
-            1.7163900658488274e-02 -3.9469349384307861e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1432 -1.9337460398674011e-02</internalNodes>
-          <leafValues>
-            -2.1738919615745544e-01 1.4887879602611065e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1433 6.8996037589386106e-04</internalNodes>
-          <leafValues>
-            -6.4250953495502472e-02 1.0741239786148071e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1434 2.7315480634570122e-02</internalNodes>
-          <leafValues>
-            5.0893737934529781e-03 -5.5414777994155884e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1435 -7.3149320669472218e-03</internalNodes>
-          <leafValues>
-            -5.7884562015533447e-01 1.1422660201787949e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1436 1.3492980040609837e-02</internalNodes>
-          <leafValues>
-            6.9531891494989395e-03 -3.3597940206527710e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1437 1.7034929245710373e-02</internalNodes>
-          <leafValues>
-            9.6587073057889938e-03 -6.6380858421325684e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1438 -4.9536321312189102e-02</internalNodes>
-          <leafValues>
-            -1.0995940119028091e-01 7.1444557979702950e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1439 -3.2623220235109329e-02</internalNodes>
-          <leafValues>
-            1.8881709873676300e-01 -4.1656959801912308e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1440 2.5752598885446787e-03</internalNodes>
-          <leafValues>
-            -5.1026009023189545e-02 1.0571180284023285e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1441 2.4968909565359354e-03</internalNodes>
-          <leafValues>
-            -5.5985808372497559e-02 1.3470019400119781e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1442 -1.1691699735820293e-02</internalNodes>
-          <leafValues>
-            6.9479256868362427e-02 -4.9810849130153656e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1443 5.0966278649866581e-03</internalNodes>
-          <leafValues>
-            -7.1984186768531799e-02 1.2013410031795502e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1444 8.6429098155349493e-04</internalNodes>
-          <leafValues>
-            -2.8091590851545334e-02 1.1059089750051498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1445 -3.0658349860459566e-03</internalNodes>
-          <leafValues>
-            -4.0703940391540527e-01 1.8710559234023094e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1446 -5.5272910685744137e-05</internalNodes>
-          <leafValues>
-            7.0791281759738922e-02 -7.0031739771366119e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1447 6.5698497928678989e-04</internalNodes>
-          <leafValues>
-            -4.9295708537101746e-02 1.5482489764690399e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1448 5.3707341430708766e-04</internalNodes>
-          <leafValues>
-            3.0296180397272110e-02 -1.2385109812021255e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1449 -2.7268910780549049e-02</internalNodes>
-          <leafValues>
-            -4.6740248799324036e-01 1.4987439848482609e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1450 -2.6138951070606709e-03</internalNodes>
-          <leafValues>
-            1.1666820198297501e-01 -6.1536878347396851e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1451 -2.7707589790225029e-02</internalNodes>
-          <leafValues>
-            -6.4345467090606689e-01 1.2005249969661236e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1452 -2.0054269582033157e-02</internalNodes>
-          <leafValues>
-            -3.4935790300369263e-01 1.0976320132613182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1453 6.9170317146927118e-04</internalNodes>
-          <leafValues>
-            4.4264778494834900e-02 -1.4918880164623260e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1454 6.4560663304291666e-05</internalNodes>
-          <leafValues>
-            -4.2204160243272781e-02 4.7343600541353226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1455 -8.8378103100694716e-05</internalNodes>
-          <leafValues>
-            1.0160549730062485e-01 -7.4064172804355621e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1456 -6.6106527810916305e-05</internalNodes>
-          <leafValues>
-            7.5940653681755066e-02 -4.9520809203386307e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1457 4.2288508848287165e-04</internalNodes>
-          <leafValues>
-            -5.8860011398792267e-02 1.3856880366802216e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1458 2.5251980405300856e-03</internalNodes>
-          <leafValues>
-            -3.0284479260444641e-02 1.6436590254306793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1459 -9.0347938239574432e-03</internalNodes>
-          <leafValues>
-            -6.5022891759872437e-01 1.1707929894328117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1460 -4.2698681354522705e-03</internalNodes>
-          <leafValues>
-            1.2133090198040009e-01 -6.0833681374788284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1461 1.6653979197144508e-02</internalNodes>
-          <leafValues>
-            1.4557110145688057e-02 -5.0316780805587769e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1462 -1.1785580217838287e-01</internalNodes>
-          <leafValues>
-            -3.4865391254425049e-01 5.8299610391259193e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1463 -3.8989041000604630e-02</internalNodes>
-          <leafValues>
-            1.0821299999952316e-01 -8.2435406744480133e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1464 -6.9744870997965336e-03</internalNodes>
-          <leafValues>
-            9.2099390923976898e-02 -4.4741760939359665e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1465 1.5437410213053226e-02</internalNodes>
-          <leafValues>
-            2.9481740668416023e-02 -2.4086919426918030e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1466 -5.9599988162517548e-03</internalNodes>
-          <leafValues>
-            -2.2541530430316925e-01 2.5642080232501030e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1467 -5.3358142031356692e-04</internalNodes>
-          <leafValues>
-            1.1838089674711227e-01 -5.7124208658933640e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1468 1.7693769186735153e-02</internalNodes>
-          <leafValues>
-            2.6607789099216461e-02 -3.0558571219444275e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1469 5.3599448874592781e-03</internalNodes>
-          <leafValues>
-            -5.6949790567159653e-02 1.2108889967203140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1470 1.5854809433221817e-02</internalNodes>
-          <leafValues>
-            2.1557219326496124e-02 -2.5214201211929321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1471 5.4963350296020508e-02</internalNodes>
-          <leafValues>
-            1.0636219754815102e-02 -5.7305997610092163e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1472 -3.7383600138127804e-03</internalNodes>
-          <leafValues>
-            7.7441543340682983e-02 -3.0604809522628784e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1473 1.8262390047311783e-02</internalNodes>
-          <leafValues>
-            -5.4902829229831696e-02 1.1765880137681961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1474 -3.1827870756387711e-02</internalNodes>
-          <leafValues>
-            -9.1100317239761353e-01 1.3938200427219272e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1475 -3.6466179881244898e-03</internalNodes>
-          <leafValues>
-            1.0852409899234772e-01 -7.2252616286277771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1476 -5.1743179559707642e-02</internalNodes>
-          <leafValues>
-            -9.1869431734085083e-01 1.8797840457409620e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1477 -9.0449545532464981e-03</internalNodes>
-          <leafValues>
-            1.7876809835433960e-01 -3.8844209164381027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1478 -4.5340228825807571e-03</internalNodes>
-          <leafValues>
-            -2.4725730717182159e-01 2.9726779088377953e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1479 6.8734101951122284e-03</internalNodes>
-          <leafValues>
-            -6.7521482706069946e-02 1.0654129832983017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1480 7.7327789040282369e-04</internalNodes>
-          <leafValues>
-            2.2192569449543953e-02 -1.3983079791069031e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1481 -8.5252941062208265e-05</internalNodes>
-          <leafValues>
-            9.0302497148513794e-02 -7.8618973493576050e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1482 4.8931739293038845e-03</internalNodes>
-          <leafValues>
-            3.1124200671911240e-02 -1.6171300411224365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1483 -3.5761829465627670e-02</internalNodes>
-          <leafValues>
-            -3.4062370657920837e-01 2.0185910165309906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1484 -1.1069890111684799e-02</internalNodes>
-          <leafValues>
-            1.1651419848203659e-01 -3.4033469855785370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1485 3.4201510716229677e-03</internalNodes>
-          <leafValues>
-            -5.3016118705272675e-02 1.3394360244274139e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1486 -4.9969270825386047e-02</internalNodes>
-          <leafValues>
-            -8.4932959079742432e-01 2.7547380886971951e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1487 -1.1221430031582713e-03</internalNodes>
-          <leafValues>
-            -1.6294130682945251e-01 4.1338101029396057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1488 3.7148129194974899e-02</internalNodes>
-          <leafValues>
-            1.7175029963254929e-02 -2.8404331207275391e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1489 2.3847341071814299e-03</internalNodes>
-          <leafValues>
-            3.4838210791349411e-02 -1.8447269499301910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1490 1.4311249554157257e-01</internalNodes>
-          <leafValues>
-            2.5221729651093483e-02 -2.5437259674072266e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1491 -1.1918859556317329e-02</internalNodes>
-          <leafValues>
-            1.6557849943637848e-01 -4.4744271785020828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1492 6.4779450185596943e-03</internalNodes>
-          <leafValues>
-            -2.5023799389600754e-02 7.9913288354873657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1493 1.4581739669665694e-03</internalNodes>
-          <leafValues>
-            -7.9792372882366180e-02 8.2918867468833923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1494 6.2418850138783455e-03</internalNodes>
-          <leafValues>
-            1.3290929608047009e-02 -2.9951110482215881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1495 -2.2714590653777122e-02</internalNodes>
-          <leafValues>
-            4.3989849090576172e-01 -1.5037129633128643e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1496 -4.3001482263207436e-03</internalNodes>
-          <leafValues>
-            -3.5465851426124573e-01 7.9521266743540764e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1497 1.0604769922792912e-03</internalNodes>
-          <leafValues>
-            3.8593769073486328e-02 -1.7629230022430420e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1498 4.3205441907048225e-03</internalNodes>
-          <leafValues>
-            1.7124539241194725e-02 -1.0750160366296768e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1499 -3.8217399269342422e-03</internalNodes>
-          <leafValues>
-            -4.5892098546028137e-01 1.4125829562544823e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1500 9.7336847102269530e-04</internalNodes>
-          <leafValues>
-            -3.6155119538307190e-02 1.2680569291114807e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1501 -7.9081847798079252e-04</internalNodes>
-          <leafValues>
-            1.7071470618247986e-01 -3.7614621222019196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1502 -7.6159887248650193e-04</internalNodes>
-          <leafValues>
-            2.3113989830017090e-01 -6.0362979769706726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1503 -2.1031539887189865e-02</internalNodes>
-          <leafValues>
-            -4.9185648560523987e-01 1.5601299703121185e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1504 1.8097320571541786e-02</internalNodes>
-          <leafValues>
-            -4.6735849231481552e-02 1.0506930202245712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1505 -1.3120859861373901e-02</internalNodes>
-          <leafValues>
-            1.0183440148830414e-01 -8.5726559162139893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1506 2.0128190517425537e-01</internalNodes>
-          <leafValues>
-            -9.4874696806073189e-03 5.4181897640228271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1507 7.3326090350747108e-03</internalNodes>
-          <leafValues>
-            2.8244720771908760e-02 -2.4529810249805450e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1508 9.0540642850100994e-04</internalNodes>
-          <leafValues>
-            -5.5965088307857513e-02 2.3225949704647064e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1509 5.3532002493739128e-04</internalNodes>
-          <leafValues>
-            4.3219450861215591e-02 -1.6520470380783081e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1510 -8.0239711678586900e-05</internalNodes>
-          <leafValues>
-            5.8853890746831894e-02 -4.7541521489620209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1511 4.8403399996459484e-03</internalNodes>
-          <leafValues>
-            -5.4115850478410721e-02 1.3033269345760345e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1512 6.6192197799682617e-01</internalNodes>
-          <leafValues>
-            -1.4795269817113876e-02 5.7857227325439453e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1513 -8.5441237315535545e-03</internalNodes>
-          <leafValues>
-            1.1657439917325974e-01 -6.2898837029933929e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1514 5.4021849791752174e-05</internalNodes>
-          <leafValues>
-            -6.0200899839401245e-02 6.9971673190593719e-02</leafValues></_></weakClassifiers></_></stages>
-  <features>
-    <_>
-      <rects>
-        <_>
-          0 0 14 9 -1.</_>
-        <_>
-          0 3 14 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 8 14 -1.</_>
-        <_>
-          17 8 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 11 6 -1.</_>
-        <_>
-          7 5 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 6 -1.</_>
-        <_>
-          5 4 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 11 6 -1.</_>
-        <_>
-          6 6 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 6 3 -1.</_>
-        <_>
-          19 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 15 6 -1.</_>
-        <_>
-          5 2 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 13 6 -1.</_>
-        <_>
-          7 5 13 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 6 5 -1.</_>
-        <_>
-          8 3 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 14 4 1 -1.</_>
-        <_>
-          21 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 12 -1.</_>
-        <_>
-          0 7 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 10 3 4 -1.</_>
-        <_>
-          22 11 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 4 -1.</_>
-        <_>
-          0 11 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 15 8 -1.</_>
-        <_>
-          5 2 15 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 5 9 -1.</_>
-        <_>
-          20 3 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 13 4 -1.</_>
-        <_>
-          6 4 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 15 6 -1.</_>
-        <_>
-          7 4 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 4 12 -1.</_>
-        <_>
-          2 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 14 6 -1.</_>
-        <_>
-          6 3 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 9 6 -1.</_>
-        <_>
-          8 5 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 4 6 -1.</_>
-        <_>
-          21 3 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 1 3 -1.</_>
-        <_>
-          1 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 12 1 3 -1.</_>
-        <_>
-          23 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 1 3 -1.</_>
-        <_>
-          1 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 11 8 -1.</_>
-        <_>
-          7 9 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 9 6 -1.</_>
-        <_>
-          8 6 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 15 9 -1.</_>
-        <_>
-          1 3 15 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 11 15 -1.</_>
-        <_>
-          9 5 11 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 4 -1.</_>
-        <_>
-          0 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 12 6 -1.</_>
-        <_>
-          7 12 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 6 -1.</_>
-        <_>
-          0 7 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 11 -1.</_>
-        <_>
-          14 0 1 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 6 -1.</_>
-        <_>
-          0 11 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 12 -1.</_>
-        <_>
-          13 0 12 6 2.</_>
-        <_>
-          1 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 4 -1.</_>
-        <_>
-          0 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 14 6 -1.</_>
-        <_>
-          7 5 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 4 -1.</_>
-        <_>
-          5 5 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 12 1 -1.</_>
-        <_>
-          12 13 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 12 6 -1.</_>
-        <_>
-          8 3 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 2 4 9 -1.</_>
-        <_>
-          21 2 2 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 13 6 -1.</_>
-        <_>
-          6 4 13 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 2 -1.</_>
-        <_>
-          5 4 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 5 3 -1.</_>
-        <_>
-          0 12 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 11 14 -1.</_>
-        <_>
-          14 7 11 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 4 1 -1.</_>
-        <_>
-          3 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 12 -1.</_>
-        <_>
-          13 0 12 6 2.</_>
-        <_>
-          1 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 6 -1.</_>
-        <_>
-          0 4 3 3 2.</_>
-        <_>
-          3 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 9 1 4 -1.</_>
-        <_>
-          22 10 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 4 1 -1.</_>
-        <_>
-          3 10 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 4 8 10 -1.</_>
-        <_>
-          20 4 4 5 2.</_>
-        <_>
-          16 9 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 9 6 -1.</_>
-        <_>
-          8 9 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 4 3 -1.</_>
-        <_>
-          12 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 3 -1.</_>
-        <_>
-          0 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 14 2 -1.</_>
-        <_>
-          11 9 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 4 1 -1.</_>
-        <_>
-          10 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 6 -1.</_>
-        <_>
-          0 3 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 15 6 -1.</_>
-        <_>
-          5 3 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 3 -1.</_>
-        <_>
-          0 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 20 6 -1.</_>
-        <_>
-          8 3 10 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 24 5 -1.</_>
-        <_>
-          6 6 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 9 6 -1.</_>
-        <_>
-          8 7 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 14 4 -1.</_>
-        <_>
-          5 4 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 8 3 6 -1.</_>
-        <_>
-          22 10 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 18 2 -1.</_>
-        <_>
-          3 9 9 1 2.</_>
-        <_>
-          12 10 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 8 3 6 -1.</_>
-        <_>
-          22 10 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 6 -1.</_>
-        <_>
-          0 0 12 3 2.</_>
-        <_>
-          12 3 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 11 4 4 -1.</_>
-        <_>
-          15 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 15 2 -1.</_>
-        <_>
-          5 6 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 15 6 -1.</_>
-        <_>
-          5 6 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 3 -1.</_>
-        <_>
-          0 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 13 6 -1.</_>
-        <_>
-          6 8 13 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 6 3 -1.</_>
-        <_>
-          0 12 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 14 14 -1.</_>
-        <_>
-          11 7 14 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 4 1 -1.</_>
-        <_>
-          8 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 13 6 -1.</_>
-        <_>
-          6 11 13 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 4 4 -1.</_>
-        <_>
-          0 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 4 6 -1.</_>
-        <_>
-          21 3 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 6 3 -1.</_>
-        <_>
-          0 13 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 4 3 -1.</_>
-        <_>
-          17 11 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 10 8 -1.</_>
-        <_>
-          0 7 5 4 2.</_>
-        <_>
-          5 11 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 2 3 8 -1.</_>
-        <_>
-          22 2 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 16 4 -1.</_>
-        <_>
-          9 3 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 24 2 -1.</_>
-        <_>
-          13 13 12 1 2.</_>
-        <_>
-          1 14 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 4 10 -1.</_>
-        <_>
-          6 5 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 6 -1.</_>
-        <_>
-          11 9 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 8 6 -1.</_>
-        <_>
-          8 12 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 7 1 4 -1.</_>
-        <_>
-          24 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 15 6 -1.</_>
-        <_>
-          5 9 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 8 4 3 -1.</_>
-        <_>
-          21 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 4 -1.</_>
-        <_>
-          5 3 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 15 3 -1.</_>
-        <_>
-          6 5 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 12 -1.</_>
-        <_>
-          0 3 1 6 2.</_>
-        <_>
-          1 9 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 11 4 -1.</_>
-        <_>
-          7 4 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 6 -1.</_>
-        <_>
-          0 3 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 3 1 12 -1.</_>
-        <_>
-          24 7 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 12 -1.</_>
-        <_>
-          0 0 12 6 2.</_>
-        <_>
-          12 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 24 14 -1.</_>
-        <_>
-          13 1 12 7 2.</_>
-        <_>
-          1 8 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 4 -1.</_>
-        <_>
-          5 3 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 9 1 4 -1.</_>
-        <_>
-          23 10 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 11 8 -1.</_>
-        <_>
-          7 9 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 9 1 4 -1.</_>
-        <_>
-          23 10 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 9 -1.</_>
-        <_>
-          0 9 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 9 3 -1.</_>
-        <_>
-          8 3 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 7 4 -1.</_>
-        <_>
-          9 5 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 0 3 2 -1.</_>
-        <_>
-          22 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 13 14 -1.</_>
-        <_>
-          0 7 13 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 9 4 4 -1.</_>
-        <_>
-          21 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 4 4 -1.</_>
-        <_>
-          0 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 1 4 -1.</_>
-        <_>
-          21 10 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 9 4 1 -1.</_>
-        <_>
-          4 10 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 3 10 12 -1.</_>
-        <_>
-          20 3 5 6 2.</_>
-        <_>
-          15 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 14 6 -1.</_>
-        <_>
-          0 8 7 3 2.</_>
-        <_>
-          7 11 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 10 1 4 -1.</_>
-        <_>
-          22 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 10 12 -1.</_>
-        <_>
-          0 3 5 6 2.</_>
-        <_>
-          5 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 1 -1.</_>
-        <_>
-          23 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 9 3 -1.</_>
-        <_>
-          8 4 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 11 4 -1.</_>
-        <_>
-          7 6 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 20 8 -1.</_>
-        <_>
-          12 7 10 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 9 8 -1.</_>
-        <_>
-          15 5 3 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 3 4 4 -1.</_>
-        <_>
-          22 4 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 9 8 -1.</_>
-        <_>
-          7 5 3 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 10 3 2 -1.</_>
-        <_>
-          22 10 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 24 5 -1.</_>
-        <_>
-          6 5 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 7 3 -1.</_>
-        <_>
-          9 8 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 20 9 -1.</_>
-        <_>
-          7 0 10 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 8 9 -1.</_>
-        <_>
-          13 2 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 4 1 -1.</_>
-        <_>
-          2 9 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 5 6 10 -1.</_>
-        <_>
-          22 5 3 5 2.</_>
-        <_>
-          19 10 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 10 -1.</_>
-        <_>
-          0 5 3 5 2.</_>
-        <_>
-          3 10 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 9 2 -1.</_>
-        <_>
-          13 10 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 2 -1.</_>
-        <_>
-          5 3 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 4 4 3 -1.</_>
-        <_>
-          21 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 15 4 -1.</_>
-        <_>
-          1 6 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 5 4 10 -1.</_>
-        <_>
-          23 5 2 5 2.</_>
-        <_>
-          21 10 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 21 8 -1.</_>
-        <_>
-          7 0 7 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 15 6 -1.</_>
-        <_>
-          5 2 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 21 3 -1.</_>
-        <_>
-          9 2 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 15 6 -1.</_>
-        <_>
-          6 5 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 10 -1.</_>
-        <_>
-          0 5 2 5 2.</_>
-        <_>
-          2 10 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 10 1 4 -1.</_>
-        <_>
-          21 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 4 -1.</_>
-        <_>
-          0 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 24 3 -1.</_>
-        <_>
-          7 3 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 13 -1.</_>
-        <_>
-          6 0 12 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 4 -1.</_>
-        <_>
-          5 4 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 14 3 -1.</_>
-        <_>
-          5 5 14 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 8 2 4 -1.</_>
-        <_>
-          22 9 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 4 2 -1.</_>
-        <_>
-          3 9 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 9 6 -1.</_>
-        <_>
-          9 10 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 11 14 -1.</_>
-        <_>
-          0 7 11 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 12 -1.</_>
-        <_>
-          13 0 12 6 2.</_>
-        <_>
-          1 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 4 -1.</_>
-        <_>
-          0 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 15 4 -1.</_>
-        <_>
-          7 3 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 4 1 -1.</_>
-        <_>
-          3 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 11 4 4 -1.</_>
-        <_>
-          21 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 12 8 -1.</_>
-        <_>
-          1 7 6 4 2.</_>
-        <_>
-          7 11 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 11 6 -1.</_>
-        <_>
-          7 11 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 2 -1.</_>
-        <_>
-          0 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 8 6 -1.</_>
-        <_>
-          12 3 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 8 6 -1.</_>
-        <_>
-          9 3 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 6 3 3 -1.</_>
-        <_>
-          22 7 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 5 6 -1.</_>
-        <_>
-          0 7 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 9 6 -1.</_>
-        <_>
-          8 9 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 20 13 -1.</_>
-        <_>
-          12 0 10 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 6 4 -1.</_>
-        <_>
-          22 3 3 2 2.</_>
-        <_>
-          19 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 12 3 -1.</_>
-        <_>
-          9 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 3 2 5 -1.</_>
-        <_>
-          22 3 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 8 8 -1.</_>
-        <_>
-          8 7 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 3 1 -1.</_>
-        <_>
-          21 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 3 -1.</_>
-        <_>
-          4 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          22 11 1 3 -1.</_>
-        <_>
-          21 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 4 4 3 -1.</_>
-        <_>
-          3 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 4 6 8 -1.</_>
-        <_>
-          22 4 3 4 2.</_>
-        <_>
-          19 8 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 8 8 -1.</_>
-        <_>
-          0 4 4 4 2.</_>
-        <_>
-          4 8 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 11 1 3 -1.</_>
-        <_>
-          21 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 24 14 -1.</_>
-        <_>
-          0 1 12 7 2.</_>
-        <_>
-          12 8 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 8 2 4 -1.</_>
-        <_>
-          23 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 4 -1.</_>
-        <_>
-          5 4 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 9 3 -1.</_>
-        <_>
-          8 2 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 4 -1.</_>
-        <_>
-          0 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 10 7 2 -1.</_>
-        <_>
-          18 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 12 4 -1.</_>
-        <_>
-          6 12 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 6 15 -1.</_>
-        <_>
-          16 0 2 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 7 2 -1.</_>
-        <_>
-          0 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 6 6 -1.</_>
-        <_>
-          18 5 3 3 2.</_>
-        <_>
-          15 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 15 -1.</_>
-        <_>
-          7 0 2 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 9 4 -1.</_>
-        <_>
-          8 8 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 10 6 -1.</_>
-        <_>
-          7 8 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 11 1 3 -1.</_>
-        <_>
-          18 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 11 3 1 -1.</_>
-        <_>
-          7 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 10 4 1 -1.</_>
-        <_>
-          16 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 9 3 -1.</_>
-        <_>
-          8 2 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 5 3 -1.</_>
-        <_>
-          0 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 8 1 4 -1.</_>
-        <_>
-          20 9 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 15 6 -1.</_>
-        <_>
-          5 3 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 2 -1.</_>
-        <_>
-          24 0 1 1 2.</_>
-        <_>
-          23 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 15 6 -1.</_>
-        <_>
-          3 5 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 6 9 -1.</_>
-        <_>
-          19 3 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 6 -1.</_>
-        <_>
-          5 4 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 8 3 -1.</_>
-        <_>
-          17 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 8 4 -1.</_>
-        <_>
-          4 3 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 4 6 2 -1.</_>
-        <_>
-          16 5 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 12 -1.</_>
-        <_>
-          0 0 12 6 2.</_>
-        <_>
-          12 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 10 3 2 -1.</_>
-        <_>
-          22 10 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          4 5 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 9 1 -1.</_>
-        <_>
-          17 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 10 2 3 -1.</_>
-        <_>
-          3 10 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 8 5 2 -1.</_>
-        <_>
-          20 8 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 16 6 -1.</_>
-        <_>
-          0 9 8 3 2.</_>
-        <_>
-          8 12 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 13 3 -1.</_>
-        <_>
-          6 3 13 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 3 4 -1.</_>
-        <_>
-          0 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 12 -1.</_>
-        <_>
-          8 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 3 -1.</_>
-        <_>
-          5 4 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 2 3 -1.</_>
-        <_>
-          3 10 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 4 6 4 -1.</_>
-        <_>
-          22 4 3 2 2.</_>
-        <_>
-          19 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 4 -1.</_>
-        <_>
-          0 3 4 2 2.</_>
-        <_>
-          4 5 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 10 5 3 -1.</_>
-        <_>
-          19 11 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 5 3 -1.</_>
-        <_>
-          1 11 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 13 14 -1.</_>
-        <_>
-          12 8 13 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 13 14 -1.</_>
-        <_>
-          0 8 13 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 6 12 -1.</_>
-        <_>
-          14 3 3 6 2.</_>
-        <_>
-          11 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 10 -1.</_>
-        <_>
-          9 5 3 5 2.</_>
-        <_>
-          12 10 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 8 5 4 -1.</_>
-        <_>
-          20 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 5 4 -1.</_>
-        <_>
-          0 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 9 3 -1.</_>
-        <_>
-          8 10 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 6 4 -1.</_>
-        <_>
-          9 10 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 14 4 -1.</_>
-        <_>
-          6 7 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 5 4 -1.</_>
-        <_>
-          9 7 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 5 3 6 -1.</_>
-        <_>
-          22 7 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 6 -1.</_>
-        <_>
-          0 7 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 5 4 -1.</_>
-        <_>
-          17 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 6 4 -1.</_>
-        <_>
-          3 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 14 4 1 -1.</_>
-        <_>
-          21 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 3 2 -1.</_>
-        <_>
-          5 9 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 7 -1.</_>
-        <_>
-          14 2 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 7 -1.</_>
-        <_>
-          9 2 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 5 -1.</_>
-        <_>
-          11 3 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 15 1 -1.</_>
-        <_>
-          10 10 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 21 9 -1.</_>
-        <_>
-          9 6 7 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 6 -1.</_>
-        <_>
-          0 6 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 24 3 -1.</_>
-        <_>
-          7 12 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 2 -1.</_>
-        <_>
-          6 8 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 4 -1.</_>
-        <_>
-          13 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 6 8 5 -1.</_>
-        <_>
-          10 6 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 6 4 -1.</_>
-        <_>
-          11 6 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 4 1 -1.</_>
-        <_>
-          2 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 4 13 -1.</_>
-        <_>
-          17 2 2 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 4 -1.</_>
-        <_>
-          0 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 0 1 2 -1.</_>
-        <_>
-          24 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 4 -1.</_>
-        <_>
-          1 5 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 8 4 -1.</_>
-        <_>
-          0 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 11 10 4 -1.</_>
-        <_>
-          20 11 5 2 2.</_>
-        <_>
-          15 13 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 11 3 -1.</_>
-        <_>
-          7 6 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 4 4 3 -1.</_>
-        <_>
-          21 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 1 -1.</_>
-        <_>
-          2 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 12 4 -1.</_>
-        <_>
-          7 4 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 7 3 -1.</_>
-        <_>
-          8 7 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 9 14 -1.</_>
-        <_>
-          16 7 9 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 6 -1.</_>
-        <_>
-          0 0 12 3 2.</_>
-        <_>
-          12 3 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 13 2 1 -1.</_>
-        <_>
-          23 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 24 2 -1.</_>
-        <_>
-          0 13 12 1 2.</_>
-        <_>
-          12 14 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 12 5 3 -1.</_>
-        <_>
-          19 13 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 7 4 -1.</_>
-        <_>
-          9 8 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 7 -1.</_>
-        <_>
-          14 0 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 7 4 -1.</_>
-        <_>
-          11 0 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 14 2 -1.</_>
-        <_>
-          9 5 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 15 4 -1.</_>
-        <_>
-          3 3 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 12 5 3 -1.</_>
-        <_>
-          19 13 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 8 4 -1.</_>
-        <_>
-          0 11 4 2 2.</_>
-        <_>
-          4 13 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 11 6 -1.</_>
-        <_>
-          7 11 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 7 4 -1.</_>
-        <_>
-          0 12 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 5 2 -1.</_>
-        <_>
-          20 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 3 2 -1.</_>
-        <_>
-          6 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 4 8 10 -1.</_>
-        <_>
-          21 4 4 5 2.</_>
-        <_>
-          17 9 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 2 -1.</_>
-        <_>
-          5 4 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 5 2 -1.</_>
-        <_>
-          16 5 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 22 10 -1.</_>
-        <_>
-          1 0 11 5 2.</_>
-        <_>
-          12 5 11 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 5 2 -1.</_>
-        <_>
-          20 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 5 2 -1.</_>
-        <_>
-          0 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 6 12 -1.</_>
-        <_>
-          13 1 3 6 2.</_>
-        <_>
-          10 7 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 8 -1.</_>
-        <_>
-          0 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 13 6 -1.</_>
-        <_>
-          6 2 13 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 4 4 -1.</_>
-        <_>
-          3 4 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 8 5 3 -1.</_>
-        <_>
-          20 9 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 2 2 -1.</_>
-        <_>
-          7 13 1 1 2.</_>
-        <_>
-          8 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 13 2 2 -1.</_>
-        <_>
-          17 13 1 1 2.</_>
-        <_>
-          16 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 2 2 -1.</_>
-        <_>
-          7 13 1 1 2.</_>
-        <_>
-          8 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 5 6 1 -1.</_>
-        <_>
-          21 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 6 6 -1.</_>
-        <_>
-          0 10 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 13 4 -1.</_>
-        <_>
-          6 9 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 8 1 -1.</_>
-        <_>
-          7 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 4 4 -1.</_>
-        <_>
-          17 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 15 2 -1.</_>
-        <_>
-          5 7 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 20 10 -1.</_>
-        <_>
-          3 1 10 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 3 -1.</_>
-        <_>
-          2 5 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 4 4 -1.</_>
-        <_>
-          17 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 4 4 -1.</_>
-        <_>
-          6 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 8 10 -1.</_>
-        <_>
-          21 4 4 5 2.</_>
-        <_>
-          17 9 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 5 3 -1.</_>
-        <_>
-          0 9 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 13 2 1 -1.</_>
-        <_>
-          23 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 1 -1.</_>
-        <_>
-          1 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 7 3 -1.</_>
-        <_>
-          10 2 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 12 -1.</_>
-        <_>
-          0 3 4 6 2.</_>
-        <_>
-          4 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 16 11 -1.</_>
-        <_>
-          6 0 8 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 21 3 -1.</_>
-        <_>
-          9 0 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 1 2 12 -1.</_>
-        <_>
-          23 1 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 6 3 -1.</_>
-        <_>
-          17 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 4 -1.</_>
-        <_>
-          10 9 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 5 5 6 -1.</_>
-        <_>
-          20 7 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 24 8 -1.</_>
-        <_>
-          0 4 12 4 2.</_>
-        <_>
-          12 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 10 1 4 -1.</_>
-        <_>
-          21 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 11 3 -1.</_>
-        <_>
-          7 1 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 13 4 -1.</_>
-        <_>
-          6 1 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 11 4 -1.</_>
-        <_>
-          7 13 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 3 4 12 -1.</_>
-        <_>
-          23 3 2 6 2.</_>
-        <_>
-          21 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 21 6 -1.</_>
-        <_>
-          9 6 7 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 3 2 10 -1.</_>
-        <_>
-          24 3 1 5 2.</_>
-        <_>
-          23 8 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 10 -1.</_>
-        <_>
-          0 3 1 5 2.</_>
-        <_>
-          1 8 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 10 1 4 -1.</_>
-        <_>
-          23 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 10 4 1 -1.</_>
-        <_>
-          2 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 9 4 -1.</_>
-        <_>
-          8 11 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 13 6 -1.</_>
-        <_>
-          5 11 13 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 15 4 -1.</_>
-        <_>
-          5 2 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 22 15 -1.</_>
-        <_>
-          12 0 11 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 14 8 1 -1.</_>
-        <_>
-          12 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 8 4 -1.</_>
-        <_>
-          1 4 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 13 1 2 -1.</_>
-        <_>
-          15 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 6 -1.</_>
-        <_>
-          5 4 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 12 2 1 -1.</_>
-        <_>
-          23 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 1 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 13 9 2 -1.</_>
-        <_>
-          11 13 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 2 -1.</_>
-        <_>
-          8 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 12 4 3 -1.</_>
-        <_>
-          20 13 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 18 10 -1.</_>
-        <_>
-          3 0 9 5 2.</_>
-        <_>
-          12 5 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 12 6 3 -1.</_>
-        <_>
-          12 12 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 8 -1.</_>
-        <_>
-          0 2 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 5 3 4 -1.</_>
-        <_>
-          22 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 4 -1.</_>
-        <_>
-          0 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 14 10 -1.</_>
-        <_>
-          13 0 7 5 2.</_>
-        <_>
-          6 5 7 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 4 3 -1.</_>
-        <_>
-          1 13 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 7 2 2 -1.</_>
-        <_>
-          21 7 1 1 2.</_>
-        <_>
-          20 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 6 3 4 -1.</_>
-        <_>
-          22 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 7 3 -1.</_>
-        <_>
-          9 7 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 4 2 -1.</_>
-        <_>
-          11 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 5 4 -1.</_>
-        <_>
-          0 7 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 6 -1.</_>
-        <_>
-          5 5 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 5 2 -1.</_>
-        <_>
-          4 5 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 6 3 -1.</_>
-        <_>
-          13 12 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 11 12 2 -1.</_>
-        <_>
-          11 11 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 4 -1.</_>
-        <_>
-          0 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 9 3 -1.</_>
-        <_>
-          8 8 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 9 6 -1.</_>
-        <_>
-          8 10 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 11 5 4 -1.</_>
-        <_>
-          20 12 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 8 3 -1.</_>
-        <_>
-          9 5 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 5 4 -1.</_>
-        <_>
-          0 12 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 6 6 -1.</_>
-        <_>
-          7 9 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 10 4 -1.</_>
-        <_>
-          19 10 5 2 2.</_>
-        <_>
-          14 12 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 3 2 -1.</_>
-        <_>
-          17 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 2 -1.</_>
-        <_>
-          7 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 8 4 -1.</_>
-        <_>
-          12 4 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 0 2 1 -1.</_>
-        <_>
-          21 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 1 8 6 -1.</_>
-        <_>
-          11 3 8 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 3 4 8 -1.</_>
-        <_>
-          13 4 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 20 15 -1.</_>
-        <_>
-          3 0 10 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 7 3 -1.</_>
-        <_>
-          9 1 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 5 2 -1.</_>
-        <_>
-          12 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 13 3 -1.</_>
-        <_>
-          6 2 13 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 10 12 -1.</_>
-        <_>
-          19 3 5 6 2.</_>
-        <_>
-          14 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 21 6 -1.</_>
-        <_>
-          8 6 7 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 10 12 -1.</_>
-        <_>
-          12 0 5 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 11 3 -1.</_>
-        <_>
-          7 9 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 22 10 -1.</_>
-        <_>
-          2 5 11 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 15 4 -1.</_>
-        <_>
-          5 6 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 15 6 -1.</_>
-        <_>
-          7 3 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 6 -1.</_>
-        <_>
-          0 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 15 4 -1.</_>
-        <_>
-          5 2 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 9 2 -1.</_>
-        <_>
-          14 9 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 8 4 -1.</_>
-        <_>
-          17 11 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 4 -1.</_>
-        <_>
-          0 11 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 6 4 -1.</_>
-        <_>
-          18 11 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 24 1 -1.</_>
-        <_>
-          6 13 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 10 6 -1.</_>
-        <_>
-          0 9 5 3 2.</_>
-        <_>
-          5 12 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 10 10 -1.</_>
-        <_>
-          18 5 5 5 2.</_>
-        <_>
-          13 10 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 4 2 -1.</_>
-        <_>
-          2 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 12 10 -1.</_>
-        <_>
-          19 5 6 5 2.</_>
-        <_>
-          13 10 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 12 10 -1.</_>
-        <_>
-          0 5 6 5 2.</_>
-        <_>
-          6 10 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 4 -1.</_>
-        <_>
-          11 13 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 5 -1.</_>
-        <_>
-          5 8 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 14 18 1 -1.</_>
-        <_>
-          4 14 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 6 -1.</_>
-        <_>
-          1 3 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 9 4 -1.</_>
-        <_>
-          8 10 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 5 4 -1.</_>
-        <_>
-          0 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 5 6 2 -1.</_>
-        <_>
-          21 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 2 -1.</_>
-        <_>
-          2 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 6 3 -1.</_>
-        <_>
-          15 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 21 9 -1.</_>
-        <_>
-          9 3 7 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 10 2 -1.</_>
-        <_>
-          11 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 14 -1.</_>
-        <_>
-          0 0 12 7 2.</_>
-        <_>
-          12 7 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 6 -1.</_>
-        <_>
-          5 4 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 11 -1.</_>
-        <_>
-          10 0 8 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 15 6 -1.</_>
-        <_>
-          5 2 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 5 4 -1.</_>
-        <_>
-          10 6 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 3 -1.</_>
-        <_>
-          23 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 3 -1.</_>
-        <_>
-          0 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 15 2 -1.</_>
-        <_>
-          10 6 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 4 -1.</_>
-        <_>
-          0 4 3 2 2.</_>
-        <_>
-          3 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 7 2 4 -1.</_>
-        <_>
-          20 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 4 2 -1.</_>
-        <_>
-          5 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 13 1 2 -1.</_>
-        <_>
-          24 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 15 -1.</_>
-        <_>
-          3 0 2 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 4 1 -1.</_>
-        <_>
-          22 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 4 -1.</_>
-        <_>
-          3 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 1 24 14 -1.</_>
-        <_>
-          13 1 12 7 2.</_>
-        <_>
-          1 8 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 6 -1.</_>
-        <_>
-          8 9 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 4 -1.</_>
-        <_>
-          10 3 5 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 20 10 -1.</_>
-        <_>
-          5 0 10 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 6 12 -1.</_>
-        <_>
-          22 3 3 6 2.</_>
-        <_>
-          19 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 7 2 -1.</_>
-        <_>
-          3 3 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 6 12 -1.</_>
-        <_>
-          22 3 3 6 2.</_>
-        <_>
-          19 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 6 12 -1.</_>
-        <_>
-          0 3 3 6 2.</_>
-        <_>
-          3 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 14 6 1 -1.</_>
-        <_>
-          19 14 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 6 13 -1.</_>
-        <_>
-          6 2 2 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 14 8 1 -1.</_>
-        <_>
-          19 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 8 1 -1.</_>
-        <_>
-          2 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 11 2 2 -1.</_>
-        <_>
-          23 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 11 2 2 -1.</_>
-        <_>
-          2 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 9 4 -1.</_>
-        <_>
-          8 5 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 9 3 -1.</_>
-        <_>
-          8 5 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 6 2 4 -1.</_>
-        <_>
-          23 6 1 2 2.</_>
-        <_>
-          22 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 6 8 -1.</_>
-        <_>
-          9 3 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 4 3 4 -1.</_>
-        <_>
-          22 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 4 2 -1.</_>
-        <_>
-          4 10 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 7 2 2 -1.</_>
-        <_>
-          18 7 1 1 2.</_>
-        <_>
-          17 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 6 1 -1.</_>
-        <_>
-          11 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 2 2 -1.</_>
-        <_>
-          18 7 1 1 2.</_>
-        <_>
-          17 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 4 -1.</_>
-        <_>
-          0 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 5 5 6 -1.</_>
-        <_>
-          20 7 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 2 2 -1.</_>
-        <_>
-          18 7 1 1 2.</_>
-        <_>
-          17 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 4 9 -1.</_>
-        <_>
-          16 0 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 14 14 -1.</_>
-        <_>
-          5 1 7 7 2.</_>
-        <_>
-          12 8 7 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 4 9 -1.</_>
-        <_>
-          16 0 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 5 3 -1.</_>
-        <_>
-          0 8 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 2 3 4 -1.</_>
-        <_>
-          22 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 15 -1.</_>
-        <_>
-          7 0 2 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 2 3 4 -1.</_>
-        <_>
-          22 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 3 -1.</_>
-        <_>
-          3 3 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 7 -1.</_>
-        <_>
-          14 6 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 10 15 1 -1.</_>
-        <_>
-          9 10 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 10 9 -1.</_>
-        <_>
-          12 6 5 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 22 14 -1.</_>
-        <_>
-          12 1 11 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 11 2 -1.</_>
-        <_>
-          2 6 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 4 -1.</_>
-        <_>
-          3 2 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 15 6 -1.</_>
-        <_>
-          5 3 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 6 6 -1.</_>
-        <_>
-          0 9 3 3 2.</_>
-        <_>
-          3 12 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 5 2 -1.</_>
-        <_>
-          19 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 14 4 -1.</_>
-        <_>
-          2 10 7 2 2.</_>
-        <_>
-          9 12 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 24 8 -1.</_>
-        <_>
-          9 3 8 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 6 -1.</_>
-        <_>
-          0 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 14 2 1 -1.</_>
-        <_>
-          23 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 4 -1.</_>
-        <_>
-          0 4 3 2 2.</_>
-        <_>
-          3 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 21 1 -1.</_>
-        <_>
-          10 13 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 14 -1.</_>
-        <_>
-          0 0 12 7 2.</_>
-        <_>
-          12 7 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 0 1 10 -1.</_>
-        <_>
-          24 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 2 2 -1.</_>
-        <_>
-          4 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 14 2 1 -1.</_>
-        <_>
-          23 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 2 1 -1.</_>
-        <_>
-          1 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 11 6 -1.</_>
-        <_>
-          7 4 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 2 2 -1.</_>
-        <_>
-          2 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 0 1 10 -1.</_>
-        <_>
-          24 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 10 -1.</_>
-        <_>
-          0 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 6 2 -1.</_>
-        <_>
-          14 11 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 20 2 -1.</_>
-        <_>
-          7 0 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 10 4 -1.</_>
-        <_>
-          10 0 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 20 1 -1.</_>
-        <_>
-          10 0 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 10 3 -1.</_>
-        <_>
-          8 5 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 7 6 -1.</_>
-        <_>
-          9 8 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 9 3 -1.</_>
-        <_>
-          8 6 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 3 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 0 1 4 -1.</_>
-        <_>
-          24 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 1 -1.</_>
-        <_>
-          10 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 10 1 4 -1.</_>
-        <_>
-          21 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 5 -1.</_>
-        <_>
-          6 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 8 12 -1.</_>
-        <_>
-          21 3 4 6 2.</_>
-        <_>
-          17 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 12 -1.</_>
-        <_>
-          0 3 4 6 2.</_>
-        <_>
-          4 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 10 -1.</_>
-        <_>
-          13 3 3 5 2.</_>
-        <_>
-          10 8 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 4 1 -1.</_>
-        <_>
-          4 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 9 4 -1.</_>
-        <_>
-          16 2 9 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 9 -1.</_>
-        <_>
-          9 2 2 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 9 3 3 -1.</_>
-        <_>
-          20 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 13 4 -1.</_>
-        <_>
-          6 2 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 5 4 -1.</_>
-        <_>
-          10 5 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 3 -1.</_>
-        <_>
-          0 6 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 5 4 4 -1.</_>
-        <_>
-          21 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 4 -1.</_>
-        <_>
-          0 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 9 6 -1.</_>
-        <_>
-          8 11 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 3 1 -1.</_>
-        <_>
-          5 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 14 2 1 -1.</_>
-        <_>
-          23 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 2 1 -1.</_>
-        <_>
-          1 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 14 -1.</_>
-        <_>
-          11 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 3 -1.</_>
-        <_>
-          3 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 12 1 2 -1.</_>
-        <_>
-          24 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 14 14 -1.</_>
-        <_>
-          0 8 14 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 6 15 -1.</_>
-        <_>
-          15 0 2 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 4 -1.</_>
-        <_>
-          0 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 13 1 2 -1.</_>
-        <_>
-          24 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 1 2 -1.</_>
-        <_>
-          0 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 11 2 4 -1.</_>
-        <_>
-          23 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 2 4 -1.</_>
-        <_>
-          0 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          17 10 1 1 2.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 6 -1.</_>
-        <_>
-          13 0 12 3 2.</_>
-        <_>
-          1 3 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 12 -1.</_>
-        <_>
-          8 1 2 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 6 6 3 -1.</_>
-        <_>
-          19 7 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 7 2 -1.</_>
-        <_>
-          5 7 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 7 4 -1.</_>
-        <_>
-          9 7 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 3 -1.</_>
-        <_>
-          0 7 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 13 4 -1.</_>
-        <_>
-          6 9 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 6 2 -1.</_>
-        <_>
-          14 11 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 10 -1.</_>
-        <_>
-          6 0 6 5 2.</_>
-        <_>
-          12 5 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 6 2 -1.</_>
-        <_>
-          14 11 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 6 2 -1.</_>
-        <_>
-          14 11 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 6 2 -1.</_>
-        <_>
-          9 11 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 12 18 3 -1.</_>
-        <_>
-          11 12 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 4 4 2 -1.</_>
-        <_>
-          23 4 2 1 2.</_>
-        <_>
-          21 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 7 3 -1.</_>
-        <_>
-          9 4 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 8 5 -1.</_>
-        <_>
-          15 4 4 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 4 -1.</_>
-        <_>
-          11 2 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          22 0 2 2 -1.</_>
-        <_>
-          22 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 16 12 -1.</_>
-        <_>
-          12 1 8 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 20 10 -1.</_>
-        <_>
-          3 0 10 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 6 -1.</_>
-        <_>
-          0 4 3 3 2.</_>
-        <_>
-          3 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 4 3 3 -1.</_>
-        <_>
-          23 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 3 -1.</_>
-        <_>
-          2 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          22 7 3 4 -1.</_>
-        <_>
-          22 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 4 7 -1.</_>
-        <_>
-          4 1 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 7 3 4 -1.</_>
-        <_>
-          22 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 4 6 2 -1.</_>
-        <_>
-          18 5 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 6 -1.</_>
-        <_>
-          5 5 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 8 4 -1.</_>
-        <_>
-          16 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 24 10 -1.</_>
-        <_>
-          0 1 12 5 2.</_>
-        <_>
-          12 6 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 7 -1.</_>
-        <_>
-          15 0 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 4 -1.</_>
-        <_>
-          0 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 5 4 4 -1.</_>
-        <_>
-          20 5 2 2 2.</_>
-        <_>
-          18 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 6 2 -1.</_>
-        <_>
-          5 5 3 1 2.</_>
-        <_>
-          8 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 9 2 3 -1.</_>
-        <_>
-          21 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 7 6 -1.</_>
-        <_>
-          9 9 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 7 2 -1.</_>
-        <_>
-          17 3 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 9 4 -1.</_>
-        <_>
-          3 3 9 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 14 6 1 -1.</_>
-        <_>
-          19 14 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 11 6 -1.</_>
-        <_>
-          6 11 11 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 8 12 -1.</_>
-        <_>
-          21 3 4 6 2.</_>
-        <_>
-          17 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 24 8 -1.</_>
-        <_>
-          0 7 12 4 2.</_>
-        <_>
-          12 11 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 16 12 -1.</_>
-        <_>
-          13 3 8 6 2.</_>
-        <_>
-          5 9 8 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 24 6 -1.</_>
-        <_>
-          8 5 8 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 24 1 -1.</_>
-        <_>
-          7 8 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 14 6 -1.</_>
-        <_>
-          1 9 7 3 2.</_>
-        <_>
-          8 12 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 5 3 2 -1.</_>
-        <_>
-          19 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 10 1 -1.</_>
-        <_>
-          5 14 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 15 6 -1.</_>
-        <_>
-          5 3 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 7 6 -1.</_>
-        <_>
-          1 3 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 12 6 3 -1.</_>
-        <_>
-          17 13 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 12 24 3 -1.</_>
-        <_>
-          7 12 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 6 3 -1.</_>
-        <_>
-          5 13 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 12 -1.</_>
-        <_>
-          13 0 12 6 2.</_>
-        <_>
-          1 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 21 15 -1.</_>
-        <_>
-          9 0 7 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 6 2 -1.</_>
-        <_>
-          17 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 14 2 -1.</_>
-        <_>
-          3 4 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 21 4 -1.</_>
-        <_>
-          11 0 7 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 4 1 -1.</_>
-        <_>
-          7 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 8 12 -1.</_>
-        <_>
-          21 3 4 6 2.</_>
-        <_>
-          17 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 12 -1.</_>
-        <_>
-          0 3 4 6 2.</_>
-        <_>
-          4 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 16 8 -1.</_>
-        <_>
-          13 0 8 4 2.</_>
-        <_>
-          5 4 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 4 2 -1.</_>
-        <_>
-          4 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 11 15 4 -1.</_>
-        <_>
-          5 12 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 1 2 -1.</_>
-        <_>
-          10 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 14 6 1 -1.</_>
-        <_>
-          14 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 4 -1.</_>
-        <_>
-          9 6 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 13 2 -1.</_>
-        <_>
-          12 6 13 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 15 6 -1.</_>
-        <_>
-          5 2 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 20 15 -1.</_>
-        <_>
-          3 0 10 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 22 14 -1.</_>
-        <_>
-          12 1 11 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 10 2 -1.</_>
-        <_>
-          15 6 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 13 2 -1.</_>
-        <_>
-          0 6 13 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 4 -1.</_>
-        <_>
-          5 3 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 15 3 -1.</_>
-        <_>
-          5 5 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 11 4 4 -1.</_>
-        <_>
-          21 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 2 -1.</_>
-        <_>
-          5 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 3 2 4 -1.</_>
-        <_>
-          23 3 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 6 -1.</_>
-        <_>
-          8 1 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 11 3 -1.</_>
-        <_>
-          8 7 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 1 -1.</_>
-        <_>
-          1 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 12 3 3 -1.</_>
-        <_>
-          21 13 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 3 3 -1.</_>
-        <_>
-          1 13 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 3 2 4 -1.</_>
-        <_>
-          23 3 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 4 -1.</_>
-        <_>
-          1 3 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 3 4 10 -1.</_>
-        <_>
-          23 3 2 5 2.</_>
-        <_>
-          21 8 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 10 -1.</_>
-        <_>
-          0 3 2 5 2.</_>
-        <_>
-          2 8 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 1 1 4 -1.</_>
-        <_>
-          24 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 6 -1.</_>
-        <_>
-          0 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 4 4 -1.</_>
-        <_>
-          17 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 4 4 -1.</_>
-        <_>
-          6 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 10 12 -1.</_>
-        <_>
-          15 8 10 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 9 3 -1.</_>
-        <_>
-          8 6 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 14 2 -1.</_>
-        <_>
-          6 8 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 5 4 -1.</_>
-        <_>
-          10 8 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 12 2 3 -1.</_>
-        <_>
-          23 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 4 -1.</_>
-        <_>
-          0 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 21 2 -1.</_>
-        <_>
-          10 13 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 3 1 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 12 2 3 -1.</_>
-        <_>
-          23 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 9 2 -1.</_>
-        <_>
-          11 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 12 2 3 -1.</_>
-        <_>
-          23 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 2 3 -1.</_>
-        <_>
-          0 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 9 9 -1.</_>
-        <_>
-          8 7 9 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 12 4 -1.</_>
-        <_>
-          3 11 6 2 2.</_>
-        <_>
-          9 13 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 5 4 -1.</_>
-        <_>
-          10 11 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 14 6 1 -1.</_>
-        <_>
-          9 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 18 15 -1.</_>
-        <_>
-          4 0 9 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 4 -1.</_>
-        <_>
-          1 3 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 0 3 4 -1.</_>
-        <_>
-          22 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 20 8 -1.</_>
-        <_>
-          5 0 10 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 24 10 -1.</_>
-        <_>
-          13 5 12 5 2.</_>
-        <_>
-          1 10 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 5 6 -1.</_>
-        <_>
-          0 7 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 4 2 -1.</_>
-        <_>
-          18 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 4 2 -1.</_>
-        <_>
-          2 3 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 6 6 -1.</_>
-        <_>
-          16 1 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 6 6 -1.</_>
-        <_>
-          7 1 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 6 1 -1.</_>
-        <_>
-          13 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 11 4 -1.</_>
-        <_>
-          6 9 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 13 2 2 -1.</_>
-        <_>
-          24 13 1 1 2.</_>
-        <_>
-          23 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 13 4 -1.</_>
-        <_>
-          6 1 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 3 1 -1.</_>
-        <_>
-          18 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 3 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          22 12 2 2 -1.</_>
-        <_>
-          23 12 1 1 2.</_>
-        <_>
-          22 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 1 -1.</_>
-        <_>
-          1 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 13 2 1 -1.</_>
-        <_>
-          22 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 2 1 -1.</_>
-        <_>
-          2 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 13 3 1 -1.</_>
-        <_>
-          23 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 12 -1.</_>
-        <_>
-          2 2 1 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 4 2 -1.</_>
-        <_>
-          18 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 4 2 -1.</_>
-        <_>
-          3 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 0 1 12 -1.</_>
-        <_>
-          24 3 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 15 6 -1.</_>
-        <_>
-          5 10 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 7 6 2 -1.</_>
-        <_>
-          19 7 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 10 5 3 -1.</_>
-        <_>
-          1 11 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 0 1 12 -1.</_>
-        <_>
-          24 3 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 3 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 12 1 -1.</_>
-        <_>
-          13 0 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 1 -1.</_>
-        <_>
-          8 0 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 20 1 -1.</_>
-        <_>
-          8 0 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 9 2 -1.</_>
-        <_>
-          4 0 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 8 2 -1.</_>
-        <_>
-          11 7 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 8 -1.</_>
-        <_>
-          11 7 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 4 4 2 -1.</_>
-        <_>
-          21 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 6 -1.</_>
-        <_>
-          6 7 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 4 4 2 -1.</_>
-        <_>
-          21 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 4 -1.</_>
-        <_>
-          4 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 11 3 -1.</_>
-        <_>
-          7 6 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 3 4 -1.</_>
-        <_>
-          20 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 9 3 -1.</_>
-        <_>
-          8 5 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 9 3 -1.</_>
-        <_>
-          9 7 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 8 8 -1.</_>
-        <_>
-          0 7 4 4 2.</_>
-        <_>
-          4 11 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 7 3 -1.</_>
-        <_>
-          9 8 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 9 3 -1.</_>
-        <_>
-          8 4 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 1 6 -1.</_>
-        <_>
-          19 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 7 24 5 -1.</_>
-        <_>
-          6 7 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 11 1 2 -1.</_>
-        <_>
-          24 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 5 -1.</_>
-        <_>
-          5 2 4 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 8 12 -1.</_>
-        <_>
-          20 3 4 6 2.</_>
-        <_>
-          16 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 12 -1.</_>
-        <_>
-          0 0 12 6 2.</_>
-        <_>
-          12 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 10 8 -1.</_>
-        <_>
-          13 2 5 4 2.</_>
-        <_>
-          8 6 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 8 -1.</_>
-        <_>
-          0 3 1 4 2.</_>
-        <_>
-          1 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 11 2 4 -1.</_>
-        <_>
-          22 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 2 4 -1.</_>
-        <_>
-          1 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 13 12 -1.</_>
-        <_>
-          12 8 13 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 4 -1.</_>
-        <_>
-          5 8 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 6 6 7 -1.</_>
-        <_>
-          17 6 2 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 6 6 -1.</_>
-        <_>
-          6 6 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 13 9 2 -1.</_>
-        <_>
-          16 13 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 7 4 -1.</_>
-        <_>
-          3 5 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 4 6 8 -1.</_>
-        <_>
-          21 4 3 4 2.</_>
-        <_>
-          18 8 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 14 9 1 -1.</_>
-        <_>
-          6 14 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 14 4 -1.</_>
-        <_>
-          18 11 7 2 2.</_>
-        <_>
-          11 13 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 6 8 -1.</_>
-        <_>
-          1 4 3 4 2.</_>
-        <_>
-          4 8 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 2 -1.</_>
-        <_>
-          23 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 13 4 -1.</_>
-        <_>
-          6 1 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 2 -1.</_>
-        <_>
-          11 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          2 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 9 5 6 -1.</_>
-        <_>
-          20 11 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 3 -1.</_>
-        <_>
-          5 3 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 7 3 -1.</_>
-        <_>
-          9 3 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 14 21 1 -1.</_>
-        <_>
-          9 14 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 16 4 -1.</_>
-        <_>
-          8 11 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 24 2 -1.</_>
-        <_>
-          12 12 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 3 6 -1.</_>
-        <_>
-          22 11 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 12 2 -1.</_>
-        <_>
-          0 1 6 1 2.</_>
-        <_>
-          6 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 9 3 -1.</_>
-        <_>
-          8 10 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 6 -1.</_>
-        <_>
-          0 11 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 14 4 -1.</_>
-        <_>
-          18 11 7 2 2.</_>
-        <_>
-          11 13 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 6 -1.</_>
-        <_>
-          8 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 12 6 2 -1.</_>
-        <_>
-          12 12 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 1 2 -1.</_>
-        <_>
-          0 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 10 12 -1.</_>
-        <_>
-          20 3 5 6 2.</_>
-        <_>
-          15 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 4 6 -1.</_>
-        <_>
-          10 9 2 3 2.</_>
-        <_>
-          12 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 6 4 -1.</_>
-        <_>
-          11 3 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 14 -1.</_>
-        <_>
-          0 7 14 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 10 12 -1.</_>
-        <_>
-          20 2 5 6 2.</_>
-        <_>
-          15 8 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 4 -1.</_>
-        <_>
-          11 3 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 5 2 6 -1.</_>
-        <_>
-          23 7 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 5 3 -1.</_>
-        <_>
-          10 9 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 7 5 4 -1.</_>
-        <_>
-          20 8 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 11 4 -1.</_>
-        <_>
-          7 11 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 13 1 2 -1.</_>
-        <_>
-          16 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 5 4 -1.</_>
-        <_>
-          3 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 8 2 -1.</_>
-        <_>
-          17 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 5 4 -1.</_>
-        <_>
-          0 8 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 12 6 -1.</_>
-        <_>
-          13 4 4 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 12 6 -1.</_>
-        <_>
-          8 4 4 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 12 9 -1.</_>
-        <_>
-          11 0 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 16 8 -1.</_>
-        <_>
-          12 5 8 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 1 -1.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 2 1 -1.</_>
-        <_>
-          8 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 6 4 -1.</_>
-        <_>
-          22 3 3 2 2.</_>
-        <_>
-          19 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 3 -1.</_>
-        <_>
-          10 10 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 2 -1.</_>
-        <_>
-          0 0 12 1 2.</_>
-        <_>
-          12 1 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 6 4 -1.</_>
-        <_>
-          0 3 3 2 2.</_>
-        <_>
-          3 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 0 3 4 -1.</_>
-        <_>
-          22 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 3 -1.</_>
-        <_>
-          11 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 7 2 4 -1.</_>
-        <_>
-          20 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 10 1 -1.</_>
-        <_>
-          9 9 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 2 -1.</_>
-        <_>
-          7 6 1 1 2.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 2 -1.</_>
-        <_>
-          7 6 1 1 2.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 9 6 -1.</_>
-        <_>
-          11 11 3 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 6 -1.</_>
-        <_>
-          0 7 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 4 7 -1.</_>
-        <_>
-          15 5 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 13 20 2 -1.</_>
-        <_>
-          2 13 10 1 2.</_>
-        <_>
-          12 14 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 7 2 2 -1.</_>
-        <_>
-          24 7 1 1 2.</_>
-        <_>
-          23 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 1 4 -1.</_>
-        <_>
-          3 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 14 4 -1.</_>
-        <_>
-          11 3 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 4 5 -1.</_>
-        <_>
-          6 7 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 8 1 4 -1.</_>
-        <_>
-          22 9 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 10 8 -1.</_>
-        <_>
-          7 0 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 24 3 -1.</_>
-        <_>
-          9 6 8 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 10 -1.</_>
-        <_>
-          10 5 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 15 3 -1.</_>
-        <_>
-          5 5 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 6 -1.</_>
-        <_>
-          11 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 8 7 3 -1.</_>
-        <_>
-          18 9 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          0 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 2 1 -1.</_>
-        <_>
-          20 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 8 -1.</_>
-        <_>
-          0 8 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 7 2 2 -1.</_>
-        <_>
-          24 7 1 1 2.</_>
-        <_>
-          23 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 2 -1.</_>
-        <_>
-          0 7 1 1 2.</_>
-        <_>
-          1 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 8 1 4 -1.</_>
-        <_>
-          23 9 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 8 3 1 -1.</_>
-        <_>
-          2 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 7 2 2 -1.</_>
-        <_>
-          22 7 1 1 2.</_>
-        <_>
-          21 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 15 6 -1.</_>
-        <_>
-          5 10 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 14 8 -1.</_>
-        <_>
-          6 9 14 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 10 2 -1.</_>
-        <_>
-          1 5 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 3 -1.</_>
-        <_>
-          13 6 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 7 3 -1.</_>
-        <_>
-          0 5 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 7 2 2 -1.</_>
-        <_>
-          22 7 1 1 2.</_>
-        <_>
-          21 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 2 2 -1.</_>
-        <_>
-          2 7 1 1 2.</_>
-        <_>
-          3 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 1 3 -1.</_>
-        <_>
-          21 10 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 13 2 2 -1.</_>
-        <_>
-          11 13 1 1 2.</_>
-        <_>
-          12 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 6 12 -1.</_>
-        <_>
-          22 3 3 6 2.</_>
-        <_>
-          19 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 6 12 -1.</_>
-        <_>
-          0 3 3 6 2.</_>
-        <_>
-          3 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 4 11 -1.</_>
-        <_>
-          18 1 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 6 3 -1.</_>
-        <_>
-          0 11 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 11 2 1 -1.</_>
-        <_>
-          23 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 11 -1.</_>
-        <_>
-          5 1 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 3 4 12 -1.</_>
-        <_>
-          23 3 2 6 2.</_>
-        <_>
-          21 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 12 -1.</_>
-        <_>
-          0 3 2 6 2.</_>
-        <_>
-          2 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 6 4 -1.</_>
-        <_>
-          11 12 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 13 4 -1.</_>
-        <_>
-          6 12 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 3 1 -1.</_>
-        <_>
-          12 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 13 8 -1.</_>
-        <_>
-          5 6 13 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 10 6 -1.</_>
-        <_>
-          15 4 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 10 6 -1.</_>
-        <_>
-          0 4 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 13 8 -1.</_>
-        <_>
-          12 3 13 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 3 -1.</_>
-        <_>
-          5 4 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 9 3 -1.</_>
-        <_>
-          9 4 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 7 3 -1.</_>
-        <_>
-          2 3 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 3 -1.</_>
-        <_>
-          5 3 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 15 3 -1.</_>
-        <_>
-          5 5 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 2 2 -1.</_>
-        <_>
-          18 6 1 1 2.</_>
-        <_>
-          17 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 2 3 -1.</_>
-        <_>
-          5 10 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 11 2 4 -1.</_>
-        <_>
-          23 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 14 4 -1.</_>
-        <_>
-          0 11 7 2 2.</_>
-        <_>
-          7 13 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 6 3 -1.</_>
-        <_>
-          10 5 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 24 14 -1.</_>
-        <_>
-          0 1 12 7 2.</_>
-        <_>
-          12 8 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 24 8 -1.</_>
-        <_>
-          13 5 12 4 2.</_>
-        <_>
-          1 9 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 12 -1.</_>
-        <_>
-          0 0 12 6 2.</_>
-        <_>
-          12 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 15 14 -1.</_>
-        <_>
-          10 7 15 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 2 1 -1.</_>
-        <_>
-          1 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 11 24 4 -1.</_>
-        <_>
-          1 11 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 10 3 -1.</_>
-        <_>
-          7 8 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 7 3 -1.</_>
-        <_>
-          9 6 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 6 -1.</_>
-        <_>
-          0 11 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 8 3 2 -1.</_>
-        <_>
-          22 8 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 3 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 6 1 6 -1.</_>
-        <_>
-          24 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 7 2 -1.</_>
-        <_>
-          3 3 7 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 6 10 -1.</_>
-        <_>
-          13 4 3 5 2.</_>
-        <_>
-          10 9 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 14 6 -1.</_>
-        <_>
-          0 6 14 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 8 -1.</_>
-        <_>
-          13 0 4 4 2.</_>
-        <_>
-          9 4 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 5 3 -1.</_>
-        <_>
-          2 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 9 7 6 -1.</_>
-        <_>
-          18 11 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 7 6 -1.</_>
-        <_>
-          0 11 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 3 3 -1.</_>
-        <_>
-          12 2 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 8 -1.</_>
-        <_>
-          9 2 3 4 2.</_>
-        <_>
-          12 6 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 14 24 1 -1.</_>
-        <_>
-          7 14 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 12 -1.</_>
-        <_>
-          0 3 6 6 2.</_>
-        <_>
-          6 9 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 9 4 -1.</_>
-        <_>
-          14 3 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 6 6 -1.</_>
-        <_>
-          9 4 3 3 2.</_>
-        <_>
-          12 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 4 1 -1.</_>
-        <_>
-          20 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 9 4 -1.</_>
-        <_>
-          11 3 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 6 9 -1.</_>
-        <_>
-          16 4 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 6 9 -1.</_>
-        <_>
-          7 4 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 2 -1.</_>
-        <_>
-          17 5 1 1 2.</_>
-        <_>
-          16 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 12 -1.</_>
-        <_>
-          0 4 15 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 11 3 -1.</_>
-        <_>
-          8 2 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 6 -1.</_>
-        <_>
-          0 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 1 3 -1.</_>
-        <_>
-          14 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 1 4 -1.</_>
-        <_>
-          21 10 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 5 3 -1.</_>
-        <_>
-          10 6 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 1 3 -1.</_>
-        <_>
-          14 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 9 1 4 -1.</_>
-        <_>
-          21 10 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 9 4 1 -1.</_>
-        <_>
-          4 10 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 9 3 -1.</_>
-        <_>
-          8 9 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 21 3 -1.</_>
-        <_>
-          9 9 7 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 8 8 -1.</_>
-        <_>
-          12 6 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 6 12 -1.</_>
-        <_>
-          9 3 2 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 1 -1.</_>
-        <_>
-          12 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 4 4 -1.</_>
-        <_>
-          11 10 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 2 -1.</_>
-        <_>
-          17 5 1 1 2.</_>
-        <_>
-          16 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 8 -1.</_>
-        <_>
-          13 0 12 4 2.</_>
-        <_>
-          1 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 12 4 3 -1.</_>
-        <_>
-          21 13 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 4 -1.</_>
-        <_>
-          0 3 2 2 2.</_>
-        <_>
-          2 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 2 3 -1.</_>
-        <_>
-          19 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 15 6 -1.</_>
-        <_>
-          2 5 15 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 15 2 -1.</_>
-        <_>
-          5 1 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 4 -1.</_>
-        <_>
-          0 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 1 2 12 -1.</_>
-        <_>
-          20 4 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 2 3 -1.</_>
-        <_>
-          4 3 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 2 2 -1.</_>
-        <_>
-          20 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 12 4 3 -1.</_>
-        <_>
-          0 13 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 12 8 -1.</_>
-        <_>
-          13 3 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 2 -1.</_>
-        <_>
-          5 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 2 14 12 -1.</_>
-        <_>
-          11 8 14 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 14 12 -1.</_>
-        <_>
-          0 8 14 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 6 8 -1.</_>
-        <_>
-          18 7 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 13 2 -1.</_>
-        <_>
-          7 0 13 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 7 6 8 -1.</_>
-        <_>
-          18 7 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 6 8 -1.</_>
-        <_>
-          5 7 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 2 2 -1.</_>
-        <_>
-          18 7 1 1 2.</_>
-        <_>
-          17 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 6 -1.</_>
-        <_>
-          13 6 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 2 1 6 -1.</_>
-        <_>
-          20 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 10 2 1 -1.</_>
-        <_>
-          19 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 8 2 -1.</_>
-        <_>
-          8 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 16 7 -1.</_>
-        <_>
-          13 5 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 2 2 -1.</_>
-        <_>
-          18 7 1 1 2.</_>
-        <_>
-          17 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 2 2 -1.</_>
-        <_>
-          11 13 1 1 2.</_>
-        <_>
-          12 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 2 2 -1.</_>
-        <_>
-          18 7 1 1 2.</_>
-        <_>
-          17 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 8 5 3 -1.</_>
-        <_>
-          20 9 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 2 2 -1.</_>
-        <_>
-          11 13 1 1 2.</_>
-        <_>
-          12 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 15 4 -1.</_>
-        <_>
-          5 12 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 6 3 -1.</_>
-        <_>
-          0 9 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 10 2 1 -1.</_>
-        <_>
-          19 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 2 1 -1.</_>
-        <_>
-          5 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 6 -1.</_>
-        <_>
-          13 0 12 3 2.</_>
-        <_>
-          1 3 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 2 5 -1.</_>
-        <_>
-          5 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 3 4 12 -1.</_>
-        <_>
-          23 3 2 6 2.</_>
-        <_>
-          21 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 12 -1.</_>
-        <_>
-          0 3 2 6 2.</_>
-        <_>
-          2 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 2 1 6 -1.</_>
-        <_>
-          24 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 9 8 -1.</_>
-        <_>
-          8 2 3 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 2 1 6 -1.</_>
-        <_>
-          24 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 6 -1.</_>
-        <_>
-          0 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 9 4 -1.</_>
-        <_>
-          9 7 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 4 -1.</_>
-        <_>
-          11 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 14 2 1 -1.</_>
-        <_>
-          20 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 6 4 -1.</_>
-        <_>
-          0 9 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 15 -1.</_>
-        <_>
-          11 5 3 5 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 4 6 -1.</_>
-        <_>
-          14 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 9 3 -1.</_>
-        <_>
-          8 3 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 8 6 -1.</_>
-        <_>
-          0 9 4 3 2.</_>
-        <_>
-          4 12 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 5 4 -1.</_>
-        <_>
-          20 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 16 7 -1.</_>
-        <_>
-          8 3 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 10 8 -1.</_>
-        <_>
-          15 2 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 24 10 -1.</_>
-        <_>
-          0 2 12 5 2.</_>
-        <_>
-          12 7 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 9 5 4 -1.</_>
-        <_>
-          20 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 22 1 -1.</_>
-        <_>
-          11 14 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 0 3 12 -1.</_>
-        <_>
-          22 0 3 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 2 -1.</_>
-        <_>
-          1 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 9 5 4 -1.</_>
-        <_>
-          20 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 5 4 -1.</_>
-        <_>
-          0 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 18 6 -1.</_>
-        <_>
-          13 5 6 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 10 1 -1.</_>
-        <_>
-          9 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 1 4 10 -1.</_>
-        <_>
-          21 1 2 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 4 -1.</_>
-        <_>
-          4 1 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 8 4 7 -1.</_>
-        <_>
-          17 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 4 7 -1.</_>
-        <_>
-          6 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 13 2 -1.</_>
-        <_>
-          6 1 13 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 8 3 -1.</_>
-        <_>
-          0 13 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 0 2 1 -1.</_>
-        <_>
-          22 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 3 8 8 -1.</_>
-        <_>
-          21 3 4 4 2.</_>
-        <_>
-          17 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 13 6 -1.</_>
-        <_>
-          6 4 13 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 15 14 -1.</_>
-        <_>
-          10 7 15 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 12 1 -1.</_>
-        <_>
-          1 1 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 3 4 2 -1.</_>
-        <_>
-          18 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 6 4 -1.</_>
-        <_>
-          9 11 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 4 5 6 -1.</_>
-        <_>
-          20 6 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 5 3 -1.</_>
-        <_>
-          1 13 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 2 -1.</_>
-        <_>
-          13 0 12 1 2.</_>
-        <_>
-          1 1 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 5 3 -1.</_>
-        <_>
-          2 4 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 6 8 4 -1.</_>
-        <_>
-          19 6 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 3 -1.</_>
-        <_>
-          4 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 4 -1.</_>
-        <_>
-          23 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 6 -1.</_>
-        <_>
-          0 3 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 14 2 -1.</_>
-        <_>
-          18 1 7 1 2.</_>
-        <_>
-          11 2 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 14 2 -1.</_>
-        <_>
-          0 1 7 1 2.</_>
-        <_>
-          7 2 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 15 6 -1.</_>
-        <_>
-          5 6 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 8 5 -1.</_>
-        <_>
-          15 4 4 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 2 2 -1.</_>
-        <_>
-          2 9 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 8 6 3 -1.</_>
-        <_>
-          14 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 24 6 -1.</_>
-        <_>
-          8 11 8 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 24 3 -1.</_>
-        <_>
-          9 13 8 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 15 4 -1.</_>
-        <_>
-          5 13 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 10 1 4 -1.</_>
-        <_>
-          23 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 10 4 1 -1.</_>
-        <_>
-          2 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 10 14 -1.</_>
-        <_>
-          15 8 10 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 2 -1.</_>
-        <_>
-          2 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 4 5 6 -1.</_>
-        <_>
-          20 6 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 7 6 -1.</_>
-        <_>
-          0 6 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 6 3 -1.</_>
-        <_>
-          11 8 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 9 1 -1.</_>
-        <_>
-          11 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 15 1 -1.</_>
-        <_>
-          10 10 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 6 3 -1.</_>
-        <_>
-          9 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 12 2 1 -1.</_>
-        <_>
-          23 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 24 2 -1.</_>
-        <_>
-          0 13 12 1 2.</_>
-        <_>
-          12 14 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 7 3 -1.</_>
-        <_>
-          9 10 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 4 -1.</_>
-        <_>
-          0 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 5 4 -1.</_>
-        <_>
-          18 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 8 2 -1.</_>
-        <_>
-          1 4 4 1 2.</_>
-        <_>
-          5 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 8 4 4 -1.</_>
-        <_>
-          21 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 8 4 -1.</_>
-        <_>
-          4 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 14 4 -1.</_>
-        <_>
-          11 5 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 18 9 -1.</_>
-        <_>
-          12 0 9 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 20 15 -1.</_>
-        <_>
-          3 0 10 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 8 -1.</_>
-        <_>
-          14 3 2 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 4 1 9 -1.</_>
-        <_>
-          14 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 4 8 -1.</_>
-        <_>
-          7 7 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 5 4 3 -1.</_>
-        <_>
-          21 6 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 8 4 3 -1.</_>
-        <_>
-          21 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 3 -1.</_>
-        <_>
-          0 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 9 2 2 -1.</_>
-        <_>
-          21 9 1 1 2.</_>
-        <_>
-          20 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 2 2 -1.</_>
-        <_>
-          3 9 1 1 2.</_>
-        <_>
-          4 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 6 12 -1.</_>
-        <_>
-          22 3 3 6 2.</_>
-        <_>
-          19 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 12 3 -1.</_>
-        <_>
-          7 5 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 11 2 -1.</_>
-        <_>
-          0 1 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 6 5 -1.</_>
-        <_>
-          15 2 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 10 -1.</_>
-        <_>
-          0 0 12 5 2.</_>
-        <_>
-          12 5 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 4 2 3 -1.</_>
-        <_>
-          20 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 7 4 -1.</_>
-        <_>
-          0 4 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 14 14 -1.</_>
-        <_>
-          11 8 14 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 5 -1.</_>
-        <_>
-          8 2 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 20 1 -1.</_>
-        <_>
-          7 0 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 14 1 -1.</_>
-        <_>
-          11 0 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 2 -1.</_>
-        <_>
-          9 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 4 -1.</_>
-        <_>
-          11 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 3 -1.</_>
-        <_>
-          6 12 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 10 12 -1.</_>
-        <_>
-          20 3 5 6 2.</_>
-        <_>
-          15 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 14 3 -1.</_>
-        <_>
-          0 4 14 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 8 3 -1.</_>
-        <_>
-          11 4 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 2 1 -1.</_>
-        <_>
-          1 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 13 2 2 -1.</_>
-        <_>
-          24 13 1 1 2.</_>
-        <_>
-          23 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 2 -1.</_>
-        <_>
-          0 13 1 1 2.</_>
-        <_>
-          1 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 8 1 -1.</_>
-        <_>
-          11 12 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 6 4 -1.</_>
-        <_>
-          0 8 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 6 12 -1.</_>
-        <_>
-          22 3 3 6 2.</_>
-        <_>
-          19 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 6 12 -1.</_>
-        <_>
-          0 3 3 6 2.</_>
-        <_>
-          3 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 7 2 4 -1.</_>
-        <_>
-          23 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 4 -1.</_>
-        <_>
-          0 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 8 4 -1.</_>
-        <_>
-          17 7 4 2 2.</_>
-        <_>
-          13 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 10 14 -1.</_>
-        <_>
-          0 8 10 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 7 3 -1.</_>
-        <_>
-          9 9 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 3 4 -1.</_>
-        <_>
-          9 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 10 2 3 -1.</_>
-        <_>
-          17 11 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 10 3 2 -1.</_>
-        <_>
-          8 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 1 -1.</_>
-        <_>
-          23 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 8 4 3 -1.</_>
-        <_>
-          12 8 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 7 15 3 -1.</_>
-        <_>
-          10 8 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 20 8 -1.</_>
-        <_>
-          10 0 10 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 4 3 -1.</_>
-        <_>
-          20 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          5 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 3 5 2 -1.</_>
-        <_>
-          18 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 5 2 -1.</_>
-        <_>
-          2 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 5 -1.</_>
-        <_>
-          13 0 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 12 6 3 -1.</_>
-        <_>
-          7 13 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 5 -1.</_>
-        <_>
-          13 0 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 2 -1.</_>
-        <_>
-          9 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 9 4 3 -1.</_>
-        <_>
-          18 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 4 3 -1.</_>
-        <_>
-          3 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 15 6 -1.</_>
-        <_>
-          7 12 15 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 12 6 -1.</_>
-        <_>
-          4 1 6 3 2.</_>
-        <_>
-          10 4 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 14 10 -1.</_>
-        <_>
-          10 10 14 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 3 -1.</_>
-        <_>
-          10 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 4 6 -1.</_>
-        <_>
-          14 5 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 4 -1.</_>
-        <_>
-          11 5 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 0 5 3 -1.</_>
-        <_>
-          19 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 1 -1.</_>
-        <_>
-          7 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 5 3 -1.</_>
-        <_>
-          19 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 1 -1.</_>
-        <_>
-          7 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 15 -1.</_>
-        <_>
-          13 0 2 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 6 -1.</_>
-        <_>
-          0 2 1 3 2.</_>
-        <_>
-          1 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 2 1 -1.</_>
-        <_>
-          21 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 14 8 -1.</_>
-        <_>
-          9 0 7 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 18 4 -1.</_>
-        <_>
-          4 6 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 2 -1.</_>
-        <_>
-          0 7 1 1 2.</_>
-        <_>
-          1 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 7 2 2 -1.</_>
-        <_>
-          24 7 1 1 2.</_>
-        <_>
-          23 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 2 -1.</_>
-        <_>
-          0 7 1 1 2.</_>
-        <_>
-          1 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 7 2 2 -1.</_>
-        <_>
-          24 7 1 1 2.</_>
-        <_>
-          23 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 2 -1.</_>
-        <_>
-          0 7 1 1 2.</_>
-        <_>
-          1 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 6 1 4 -1.</_>
-        <_>
-          24 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 4 -1.</_>
-        <_>
-          0 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 15 -1.</_>
-        <_>
-          13 0 2 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 3 -1.</_>
-        <_>
-          0 2 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 9 3 -1.</_>
-        <_>
-          8 2 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 3 3 -1.</_>
-        <_>
-          9 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 7 5 3 -1.</_>
-        <_>
-          18 8 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 5 -1.</_>
-        <_>
-          7 8 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 14 -1.</_>
-        <_>
-          13 0 12 7 2.</_>
-        <_>
-          1 7 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 9 4 -1.</_>
-        <_>
-          8 12 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 14 4 -1.</_>
-        <_>
-          6 12 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 3 4 -1.</_>
-        <_>
-          0 12 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 11 8 2 -1.</_>
-        <_>
-          17 12 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 8 2 -1.</_>
-        <_>
-          0 12 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 13 1 2 -1.</_>
-        <_>
-          23 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 1 2 -1.</_>
-        <_>
-          1 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 14 8 -1.</_>
-        <_>
-          9 0 7 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 14 8 -1.</_>
-        <_>
-          0 3 14 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 4 2 3 -1.</_>
-        <_>
-          20 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 14 9 -1.</_>
-        <_>
-          0 4 14 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 9 1 -1.</_>
-        <_>
-          12 13 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 9 1 -1.</_>
-        <_>
-          10 13 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 7 2 2 -1.</_>
-        <_>
-          21 7 1 1 2.</_>
-        <_>
-          20 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 15 6 -1.</_>
-        <_>
-          5 12 15 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 2 6 -1.</_>
-        <_>
-          21 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 8 10 -1.</_>
-        <_>
-          4 4 4 5 2.</_>
-        <_>
-          8 9 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 8 6 -1.</_>
-        <_>
-          16 3 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 11 2 -1.</_>
-        <_>
-          2 1 11 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 4 5 6 -1.</_>
-        <_>
-          20 6 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 5 6 -1.</_>
-        <_>
-          0 6 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 11 6 4 -1.</_>
-        <_>
-          22 11 3 2 2.</_>
-        <_>
-          19 13 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 5 2 -1.</_>
-        <_>
-          10 5 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 11 4 -1.</_>
-        <_>
-          7 7 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 4 -1.</_>
-        <_>
-          9 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 11 -1.</_>
-        <_>
-          7 0 12 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 10 -1.</_>
-        <_>
-          9 0 5 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 8 2 4 -1.</_>
-        <_>
-          23 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 4 2 -1.</_>
-        <_>
-          2 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 3 2 12 -1.</_>
-        <_>
-          24 3 1 6 2.</_>
-        <_>
-          23 9 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 12 -1.</_>
-        <_>
-          9 3 3 6 2.</_>
-        <_>
-          12 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 12 -1.</_>
-        <_>
-          13 0 12 6 2.</_>
-        <_>
-          1 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 12 -1.</_>
-        <_>
-          0 3 1 6 2.</_>
-        <_>
-          1 9 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 3 4 -1.</_>
-        <_>
-          14 8 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 1 -1.</_>
-        <_>
-          2 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 16 7 -1.</_>
-        <_>
-          13 2 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 1 6 -1.</_>
-        <_>
-          8 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 9 4 -1.</_>
-        <_>
-          8 8 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 10 4 -1.</_>
-        <_>
-          7 6 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 1 6 -1.</_>
-        <_>
-          12 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 12 -1.</_>
-        <_>
-          0 3 4 6 2.</_>
-        <_>
-          4 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 13 6 2 -1.</_>
-        <_>
-          19 13 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 6 2 -1.</_>
-        <_>
-          3 13 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 12 1 3 -1.</_>
-        <_>
-          23 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 1 3 -1.</_>
-        <_>
-          1 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 12 1 3 -1.</_>
-        <_>
-          23 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 10 1 -1.</_>
-        <_>
-          9 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 12 1 3 -1.</_>
-        <_>
-          23 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 1 3 -1.</_>
-        <_>
-          1 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 12 4 -1.</_>
-        <_>
-          11 3 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 6 -1.</_>
-        <_>
-          3 3 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 2 -1.</_>
-        <_>
-          23 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          2 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 13 4 2 -1.</_>
-        <_>
-          15 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 6 3 -1.</_>
-        <_>
-          2 7 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 13 4 2 -1.</_>
-        <_>
-          15 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 24 4 -1.</_>
-        <_>
-          0 7 12 2 2.</_>
-        <_>
-          12 9 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 2 -1.</_>
-        <_>
-          23 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 4 2 -1.</_>
-        <_>
-          8 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 9 4 -1.</_>
-        <_>
-          8 12 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 21 3 -1.</_>
-        <_>
-          9 13 7 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 21 2 -1.</_>
-        <_>
-          8 13 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 10 1 4 -1.</_>
-        <_>
-          21 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 6 3 -1.</_>
-        <_>
-          2 6 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 2 8 5 -1.</_>
-        <_>
-          15 4 4 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 8 6 -1.</_>
-        <_>
-          4 4 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 15 4 -1.</_>
-        <_>
-          5 2 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 8 4 -1.</_>
-        <_>
-          0 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 15 14 -1.</_>
-        <_>
-          10 7 15 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 6 2 -1.</_>
-        <_>
-          11 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 11 4 -1.</_>
-        <_>
-          8 10 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 3 -1.</_>
-        <_>
-          9 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 5 4 6 -1.</_>
-        <_>
-          21 7 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 6 6 -1.</_>
-        <_>
-          10 5 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 10 6 -1.</_>
-        <_>
-          12 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 10 6 -1.</_>
-        <_>
-          8 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 1 -1.</_>
-        <_>
-          13 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 4 1 -1.</_>
-        <_>
-          4 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 12 1 2 -1.</_>
-        <_>
-          18 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 20 10 -1.</_>
-        <_>
-          12 0 10 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 2 3 6 -1.</_>
-        <_>
-          23 3 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 6 3 -1.</_>
-        <_>
-          2 3 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 1 4 6 -1.</_>
-        <_>
-          23 1 2 3 2.</_>
-        <_>
-          21 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 6 -1.</_>
-        <_>
-          0 1 2 3 2.</_>
-        <_>
-          2 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 0 1 6 -1.</_>
-        <_>
-          24 3 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 6 -1.</_>
-        <_>
-          0 3 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 6 6 -1.</_>
-        <_>
-          18 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 15 4 -1.</_>
-        <_>
-          5 2 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 18 1 -1.</_>
-        <_>
-          10 8 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 4 -1.</_>
-        <_>
-          8 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 8 2 -1.</_>
-        <_>
-          11 5 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 6 -1.</_>
-        <_>
-          7 0 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 8 2 1 -1.</_>
-        <_>
-          21 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 4 8 4 -1.</_>
-        <_>
-          17 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 13 2 -1.</_>
-        <_>
-          6 1 13 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 5 4 6 -1.</_>
-        <_>
-          21 7 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 6 -1.</_>
-        <_>
-          0 7 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 8 2 1 -1.</_>
-        <_>
-          21 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 2 1 -1.</_>
-        <_>
-          3 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 1 -1.</_>
-        <_>
-          23 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 15 4 -1.</_>
-        <_>
-          4 1 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 10 8 -1.</_>
-        <_>
-          15 3 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 2 -1.</_>
-        <_>
-          0 5 2 1 2.</_>
-        <_>
-          2 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 1 -1.</_>
-        <_>
-          23 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 4 -1.</_>
-        <_>
-          0 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 13 4 2 -1.</_>
-        <_>
-          19 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 2 2 -1.</_>
-        <_>
-          7 12 1 1 2.</_>
-        <_>
-          8 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 8 -1.</_>
-        <_>
-          13 0 12 4 2.</_>
-        <_>
-          1 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 3 -1.</_>
-        <_>
-          2 5 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 4 3 -1.</_>
-        <_>
-          19 7 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 4 -1.</_>
-        <_>
-          6 7 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 2 -1.</_>
-        <_>
-          7 11 1 1 2.</_>
-        <_>
-          8 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 9 3 -1.</_>
-        <_>
-          12 5 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 1 -1.</_>
-        <_>
-          2 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 8 1 -1.</_>
-        <_>
-          19 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 9 3 -1.</_>
-        <_>
-          10 5 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 8 1 -1.</_>
-        <_>
-          19 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 8 1 -1.</_>
-        <_>
-          2 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 12 2 -1.</_>
-        <_>
-          9 11 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 20 9 -1.</_>
-        <_>
-          9 6 10 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 12 2 -1.</_>
-        <_>
-          6 9 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 13 4 -1.</_>
-        <_>
-          6 9 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 4 2 -1.</_>
-        <_>
-          2 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 3 12 -1.</_>
-        <_>
-          11 4 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 11 4 -1.</_>
-        <_>
-          7 11 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 15 6 -1.</_>
-        <_>
-          5 11 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 14 10 -1.</_>
-        <_>
-          1 10 14 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 10 2 2 -1.</_>
-        <_>
-          14 10 1 1 2.</_>
-        <_>
-          13 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          0 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 4 2 -1.</_>
-        <_>
-          18 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 4 -1.</_>
-        <_>
-          0 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 12 6 2 -1.</_>
-        <_>
-          14 12 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 1 -1.</_>
-        <_>
-          8 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 2 10 -1.</_>
-        <_>
-          18 3 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 7 3 -1.</_>
-        <_>
-          18 1 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 6 2 -1.</_>
-        <_>
-          9 12 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 7 4 3 -1.</_>
-        <_>
-          20 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 10 -1.</_>
-        <_>
-          6 3 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 6 2 -1.</_>
-        <_>
-          17 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 1 2 12 -1.</_>
-        <_>
-          18 5 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 3 -1.</_>
-        <_>
-          8 4 4 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 13 2 2 -1.</_>
-        <_>
-          15 13 1 1 2.</_>
-        <_>
-          14 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 3 -1.</_>
-        <_>
-          12 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 10 8 -1.</_>
-        <_>
-          15 3 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 10 8 -1.</_>
-        <_>
-          0 3 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 14 10 -1.</_>
-        <_>
-          11 8 14 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 24 12 -1.</_>
-        <_>
-          0 0 12 6 2.</_>
-        <_>
-          12 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 7 4 3 -1.</_>
-        <_>
-          20 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 7 3 -1.</_>
-        <_>
-          0 2 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 7 4 3 -1.</_>
-        <_>
-          20 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 8 -1.</_>
-        <_>
-          0 9 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 4 3 4 -1.</_>
-        <_>
-          23 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 2 12 1 -1.</_>
-        <_>
-          15 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          22 4 3 4 -1.</_>
-        <_>
-          23 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 4 3 -1.</_>
-        <_>
-          1 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 6 2 -1.</_>
-        <_>
-          15 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 6 2 -1.</_>
-        <_>
-          15 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 2 -1.</_>
-        <_>
-          6 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 6 2 -1.</_>
-        <_>
-          15 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 6 -1.</_>
-        <_>
-          7 7 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 0 1 10 -1.</_>
-        <_>
-          24 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 1 -1.</_>
-        <_>
-          7 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 13 2 2 -1.</_>
-        <_>
-          15 13 1 1 2.</_>
-        <_>
-          14 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 1 -1.</_>
-        <_>
-          9 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 4 1 9 -1.</_>
-        <_>
-          21 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 4 9 1 -1.</_>
-        <_>
-          4 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 6 13 -1.</_>
-        <_>
-          13 1 2 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 4 7 -1.</_>
-        <_>
-          11 2 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 6 13 -1.</_>
-        <_>
-          13 1 2 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 13 -1.</_>
-        <_>
-          10 1 2 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 4 1 -1.</_>
-        <_>
-          16 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 1 -1.</_>
-        <_>
-          7 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 4 1 9 -1.</_>
-        <_>
-          14 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 2 2 -1.</_>
-        <_>
-          14 9 1 1 2.</_>
-        <_>
-          13 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 2 -1.</_>
-        <_>
-          7 11 1 1 2.</_>
-        <_>
-          8 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 2 2 -1.</_>
-        <_>
-          14 9 1 1 2.</_>
-        <_>
-          13 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 10 1 -1.</_>
-        <_>
-          11 13 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 10 7 -1.</_>
-        <_>
-          9 8 5 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 15 10 -1.</_>
-        <_>
-          9 5 5 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 5 4 -1.</_>
-        <_>
-          20 7 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 5 4 -1.</_>
-        <_>
-          0 7 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 1 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 7 3 -1.</_>
-        <_>
-          9 5 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 4 3 -1.</_>
-        <_>
-          15 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 4 3 -1.</_>
-        <_>
-          8 4 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 2 -1.</_>
-        <_>
-          7 6 1 1 2.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 13 2 2 -1.</_>
-        <_>
-          15 13 1 1 2.</_>
-        <_>
-          14 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 2 -1.</_>
-        <_>
-          6 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 14 2 1 -1.</_>
-        <_>
-          20 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 6 2 -1.</_>
-        <_>
-          1 13 3 1 2.</_>
-        <_>
-          4 14 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 2 -1.</_>
-        <_>
-          12 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 8 -1.</_>
-        <_>
-          8 0 4 4 2.</_>
-        <_>
-          12 4 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 2 -1.</_>
-        <_>
-          17 12 1 1 2.</_>
-        <_>
-          16 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 8 8 -1.</_>
-        <_>
-          0 4 4 4 2.</_>
-        <_>
-          4 8 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 4 2 1 -1.</_>
-        <_>
-          19 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 2 1 -1.</_>
-        <_>
-          5 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 2 2 -1.</_>
-        <_>
-          21 0 1 1 2.</_>
-        <_>
-          20 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 15 3 -1.</_>
-        <_>
-          0 6 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 3 -1.</_>
-        <_>
-          13 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 3 2 -1.</_>
-        <_>
-          5 10 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 0 2 2 -1.</_>
-        <_>
-          21 0 1 1 2.</_>
-        <_>
-          20 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_>
-        <_>
-          4 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 12 4 -1.</_>
-        <_>
-          0 11 6 2 2.</_>
-        <_>
-          6 13 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 8 4 -1.</_>
-        <_>
-          17 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 13 6 -1.</_>
-        <_>
-          6 8 13 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 4 2 3 -1.</_>
-        <_>
-          23 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 10 2 -1.</_>
-        <_>
-          2 14 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 4 2 3 -1.</_>
-        <_>
-          23 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 3 -1.</_>
-        <_>
-          1 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 21 3 -1.</_>
-        <_>
-          9 8 7 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 2 2 -1.</_>
-        <_>
-          2 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 21 6 -1.</_>
-        <_>
-          9 4 7 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 8 6 -1.</_>
-        <_>
-          1 3 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 15 4 -1.</_>
-        <_>
-          6 5 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 4 1 -1.</_>
-        <_>
-          3 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 14 18 1 -1.</_>
-        <_>
-          4 14 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 24 10 -1.</_>
-        <_>
-          0 3 12 5 2.</_>
-        <_>
-          12 8 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 10 12 -1.</_>
-        <_>
-          20 3 5 6 2.</_>
-        <_>
-          15 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 3 -1.</_>
-        <_>
-          9 6 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 21 1 -1.</_>
-        <_>
-          9 13 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 10 12 -1.</_>
-        <_>
-          0 3 5 6 2.</_>
-        <_>
-          5 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 4 -1.</_>
-        <_>
-          5 4 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 9 3 -1.</_>
-        <_>
-          8 7 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 13 3 1 -1.</_>
-        <_>
-          15 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 10 2 -1.</_>
-        <_>
-          7 2 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 13 3 1 -1.</_>
-        <_>
-          15 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 3 1 -1.</_>
-        <_>
-          9 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 24 12 -1.</_>
-        <_>
-          13 0 12 6 2.</_>
-        <_>
-          1 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 13 14 -1.</_>
-        <_>
-          0 7 13 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 6 3 3 -1.</_>
-        <_>
-          20 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 8 4 -1.</_>
-        <_>
-          8 10 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 10 6 4 -1.</_>
-        <_>
-          15 10 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 4 4 -1.</_>
-        <_>
-          11 3 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 10 6 4 -1.</_>
-        <_>
-          15 10 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 10 4 -1.</_>
-        <_>
-          7 12 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 10 6 4 -1.</_>
-        <_>
-          15 10 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 4 -1.</_>
-        <_>
-          8 10 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 14 4 1 -1.</_>
-        <_>
-          21 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 4 -1.</_>
-        <_>
-          0 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 6 12 -1.</_>
-        <_>
-          22 3 3 6 2.</_>
-        <_>
-          19 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 15 2 -1.</_>
-        <_>
-          5 2 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 3 4 -1.</_>
-        <_>
-          19 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 20 4 -1.</_>
-        <_>
-          12 5 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 14 4 1 -1.</_>
-        <_>
-          21 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 4 1 -1.</_>
-        <_>
-          2 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 6 12 -1.</_>
-        <_>
-          22 3 3 6 2.</_>
-        <_>
-          19 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 6 12 -1.</_>
-        <_>
-          0 3 3 6 2.</_>
-        <_>
-          3 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 3 4 -1.</_>
-        <_>
-          19 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 4 -1.</_>
-        <_>
-          3 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 10 2 -1.</_>
-        <_>
-          10 1 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 3 -1.</_>
-        <_>
-          9 0 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 2 1 -1.</_>
-        <_>
-          21 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 4 2 -1.</_>
-        <_>
-          3 9 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 0 2 1 -1.</_>
-        <_>
-          21 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 21 1 -1.</_>
-        <_>
-          9 0 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 2 1 -1.</_>
-        <_>
-          21 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 11 24 4 -1.</_>
-        <_>
-          13 11 12 2 2.</_>
-        <_>
-          1 13 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 24 4 -1.</_>
-        <_>
-          0 11 12 2 2.</_>
-        <_>
-          12 13 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 2 -1.</_>
-        <_>
-          17 5 1 1 2.</_>
-        <_>
-          16 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 6 2 -1.</_>
-        <_>
-          18 1 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 21 2 -1.</_>
-        <_>
-          9 0 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 10 15 -1.</_>
-        <_>
-          13 0 5 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 13 4 -1.</_>
-        <_>
-          6 1 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 9 3 -1.</_>
-        <_>
-          11 4 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 10 3 -1.</_>
-        <_>
-          2 3 10 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 16 8 -1.</_>
-        <_>
-          6 6 8 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 15 -1.</_>
-        <_>
-          8 0 6 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 8 2 4 -1.</_>
-        <_>
-          23 8 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 3 -1.</_>
-        <_>
-          0 6 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 5 4 2 -1.</_>
-        <_>
-          22 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 2 -1.</_>
-        <_>
-          1 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 2 3 4 -1.</_>
-        <_>
-          22 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 3 -1.</_>
-        <_>
-          3 3 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          23 2 2 2 -1.</_>
-        <_>
-          23 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 4 -1.</_>
-        <_>
-          0 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 7 2 5 -1.</_>
-        <_>
-          23 7 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 1 2 4 -1.</_>
-        <_>
-          23 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 4 -1.</_>
-        <_>
-          0 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 3 5 4 -1.</_>
-        <_>
-          19 4 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 2 -1.</_>
-        <_>
-          12 1 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 11 6 4 -1.</_>
-        <_>
-          19 12 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 6 4 -1.</_>
-        <_>
-          1 4 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 0 2 1 -1.</_>
-        <_>
-          23 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 0 4 2 -1.</_>
-        <_>
-          20 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 12 -1.</_>
-        <_>
-          0 0 1 6 2.</_>
-        <_>
-          1 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 4 2 8 -1.</_>
-        <_>
-          23 4 1 4 2.</_>
-        <_>
-          22 8 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 8 -1.</_>
-        <_>
-          1 4 1 4 2.</_>
-        <_>
-          2 8 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 4 1 -1.</_>
-        <_>
-          17 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 5 8 -1.</_>
-        <_>
-          10 4 5 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 13 2 2 -1.</_>
-        <_>
-          19 13 1 1 2.</_>
-        <_>
-          18 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 13 6 -1.</_>
-        <_>
-          6 11 13 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 13 4 -1.</_>
-        <_>
-          6 11 13 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 24 4 -1.</_>
-        <_>
-          0 8 12 2 2.</_>
-        <_>
-          12 10 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 8 3 -1.</_>
-        <_>
-          17 11 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 16 8 -1.</_>
-        <_>
-          4 0 8 4 2.</_>
-        <_>
-          12 4 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 1 2 -1.</_>
-        <_>
-          14 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 6 6 -1.</_>
-        <_>
-          5 9 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 10 12 3 -1.</_>
-        <_>
-          16 10 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 12 3 -1.</_>
-        <_>
-          3 10 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 8 5 3 -1.</_>
-        <_>
-          19 9 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 3 1 -1.</_>
-        <_>
-          8 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 3 1 -1.</_>
-        <_>
-          8 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 8 2 3 -1.</_>
-        <_>
-          20 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 2 -1.</_>
-        <_>
-          3 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 8 5 3 -1.</_>
-        <_>
-          19 9 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 6 11 -1.</_>
-        <_>
-          6 1 2 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 15 4 -1.</_>
-        <_>
-          5 3 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 3 3 -1.</_>
-        <_>
-          11 3 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 18 6 -1.</_>
-        <_>
-          11 7 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 24 9 -1.</_>
-        <_>
-          7 6 12 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 10 -1.</_>
-        <_>
-          0 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 10 2 -1.</_>
-        <_>
-          9 4 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 3 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 1 -1.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 6 6 -1.</_>
-        <_>
-          19 7 3 3 2.</_>
-        <_>
-          16 10 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 10 2 2 -1.</_>
-        <_>
-          14 10 1 1 2.</_>
-        <_>
-          13 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 3 -1.</_>
-        <_>
-          11 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 6 3 -1.</_>
-        <_>
-          19 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 3 -1.</_>
-        <_>
-          0 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 0 1 2 -1.</_>
-        <_>
-          24 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 16 1 -1.</_>
-        <_>
-          4 0 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 11 6 4 -1.</_>
-        <_>
-          19 12 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 6 4 -1.</_>
-        <_>
-          0 12 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 15 6 -1.</_>
-        <_>
-          5 6 15 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 9 3 -1.</_>
-        <_>
-          8 4 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 1 12 -1.</_>
-        <_>
-          12 3 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 14 8 -1.</_>
-        <_>
-          1 7 14 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 6 4 -1.</_>
-        <_>
-          17 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 4 2 -1.</_>
-        <_>
-          3 7 2 1 2.</_>
-        <_>
-          5 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 1 8 -1.</_>
-        <_>
-          14 9 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 3 -1.</_>
-        <_>
-          0 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 6 3 -1.</_>
-        <_>
-          13 12 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 6 3 -1.</_>
-        <_>
-          10 12 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 6 10 -1.</_>
-        <_>
-          19 5 3 5 2.</_>
-        <_>
-          16 10 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 6 10 -1.</_>
-        <_>
-          3 5 3 5 2.</_>
-        <_>
-          6 10 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 8 1 -1.</_>
-        <_>
-          19 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 8 1 -1.</_>
-        <_>
-          2 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 14 2 -1.</_>
-        <_>
-          9 13 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 14 20 1 -1.</_>
-        <_>
-          6 14 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 2 2 -1.</_>
-        <_>
-          18 7 1 1 2.</_>
-        <_>
-          17 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 2 -1.</_>
-        <_>
-          0 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 2 2 -1.</_>
-        <_>
-          18 7 1 1 2.</_>
-        <_>
-          17 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 10 2 2 -1.</_>
-        <_>
-          14 10 1 1 2.</_>
-        <_>
-          13 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 4 -1.</_>
-        <_>
-          6 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 2 -1.</_>
-        <_>
-          12 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 8 3 -1.</_>
-        <_>
-          10 1 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 7 2 -1.</_>
-        <_>
-          14 6 7 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 1 -1.</_>
-        <_>
-          9 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 2 -1.</_>
-        <_>
-          7 11 1 1 2.</_>
-        <_>
-          8 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 2 -1.</_>
-        <_>
-          7 11 1 1 2.</_>
-        <_>
-          8 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 4 1 -1.</_>
-        <_>
-          17 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 4 1 -1.</_>
-        <_>
-          6 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 4 -1.</_>
-        <_>
-          11 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 2 -1.</_>
-        <_>
-          10 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 0 4 8 -1.</_>
-        <_>
-          19 2 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 4 -1.</_>
-        <_>
-          6 2 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 1 5 2 -1.</_>
-        <_>
-          20 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 4 -1.</_>
-        <_>
-          0 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 5 4 -1.</_>
-        <_>
-          20 7 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 1 -1.</_>
-        <_>
-          7 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 24 2 -1.</_>
-        <_>
-          13 8 12 1 2.</_>
-        <_>
-          1 9 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 8 3 -1.</_>
-        <_>
-          8 9 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 11 6 4 -1.</_>
-        <_>
-          19 11 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          9 0 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 3 2 -1.</_>
-        <_>
-          15 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 13 2 -1.</_>
-        <_>
-          5 7 13 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 3 2 -1.</_>
-        <_>
-          15 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 6 -1.</_>
-        <_>
-          10 8 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 5 2 -1.</_>
-        <_>
-          20 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 2 5 -1.</_>
-        <_>
-          5 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          24 7 1 8 -1.</_>
-        <_>
-          24 9 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 11 3 -1.</_>
-        <_>
-          7 8 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 11 2 2 -1.</_>
-        <_>
-          14 11 1 1 2.</_>
-        <_>
-          13 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 3 1 -1.</_>
-        <_>
-          11 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 7 1 8 -1.</_>
-        <_>
-          24 9 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 4 -1.</_>
-        <_>
-          10 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          22 1 2 3 -1.</_>
-        <_>
-          21 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 2 -1.</_>
-        <_>
-          4 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 4 3 3 -1.</_>
-        <_>
-          17 5 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 2 -1.</_>
-        <_>
-          3 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 8 3 -1.</_>
-        <_>
-          17 0 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 4 3 -1.</_>
-        <_>
-          0 13 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 21 3 -1.</_>
-        <_>
-          9 3 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 5 -1.</_>
-        <_>
-          8 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 7 6 4 -1.</_>
-        <_>
-          22 7 3 2 2.</_>
-        <_>
-          19 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 6 4 -1.</_>
-        <_>
-          0 7 3 2 2.</_>
-        <_>
-          3 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          24 4 1 4 -1.</_>
-        <_>
-          24 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 4 -1.</_>
-        <_>
-          3 8 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 9 4 1 -1.</_>
-        <_>
-          18 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 4 1 -1.</_>
-        <_>
-          5 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          23 6 2 2 -1.</_>
-        <_>
-          23 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 2 -1.</_>
-        <_>
-          0 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 7 2 2 -1.</_>
-        <_>
-          23 7 1 1 2.</_>
-        <_>
-          22 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 6 4 -1.</_>
-        <_>
-          4 11 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 10 4 -1.</_>
-        <_>
-          19 1 5 2 2.</_>
-        <_>
-          14 3 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 12 2 -1.</_>
-        <_>
-          6 3 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 8 9 -1.</_>
-        <_>
-          9 9 8 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 3 3 -1.</_>
-        <_>
-          4 9 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 7 2 2 -1.</_>
-        <_>
-          23 7 1 1 2.</_>
-        <_>
-          22 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 2 2 -1.</_>
-        <_>
-          11 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 7 2 2 -1.</_>
-        <_>
-          23 7 1 1 2.</_>
-        <_>
-          22 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 13 10 1 -1.</_>
-        <_>
-          9 13 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 20 15 -1.</_>
-        <_>
-          3 0 10 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 24 1 -1.</_>
-        <_>
-          6 13 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          22 7 2 2 -1.</_>
-        <_>
-          23 7 1 1 2.</_>
-        <_>
-          22 8 1 1 2.</_></rects></_></features></cascade>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_nose.xml b/data/haarcascades/haarcascade_mcs_nose.xml
deleted file mode 100644
index d196df1307..0000000000
--- a/data/haarcascades/haarcascade_mcs_nose.xml
+++ /dev/null
@@ -1,39332 +0,0 @@
-<?xml version="1.0"?>
-<!--
-18x15 Nose detector computed with 7000 positive samples
-2006-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 – Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 – Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@ARTICLE{Castrillon11-mva,
-					  author = {Modesto Castrill\'on and Oscar D\'eniz and Daniel Hern\'andez and Javier Lorenzo},
-					  title = {A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework},
-					  journal = {Machine Vision and Applications},
-					  year = {2011},
-					  volume = {22},
-					  pages = {481-494},
-					  number = {3},
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
-  <featureType>HAAR</featureType>
-  <height>18</height>
-  <width>15</width>
-  <stageParams>
-    <maxWeakCount>377</maxWeakCount></stageParams>
-  <featureParams>
-    <maxCatCount>0</maxCatCount></featureParams>
-  <stageNum>20</stageNum>
-  <stages>
-    <_>
-      <maxWeakCount>16</maxWeakCount>
-      <stageThreshold>-1.8310650587081909e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 0 3.6321789026260376e-02</internalNodes>
-          <leafValues>
-            -6.7726498842239380e-01 6.6873461008071899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1 5.4485928267240524e-02</internalNodes>
-          <leafValues>
-            -4.4031769037246704e-01 4.8918509483337402e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2 -1.5089729428291321e-01</internalNodes>
-          <leafValues>
-            6.3702392578125000e-01 -2.8146758675575256e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3 -7.9493917524814606e-02</internalNodes>
-          <leafValues>
-            6.3470429182052612e-01 -1.6119189560413361e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 4 -6.7041739821434021e-02</internalNodes>
-          <leafValues>
-            5.9565997123718262e-01 -1.6454219818115234e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 5 1.6542470455169678e-01</internalNodes>
-          <leafValues>
-            -2.9165010899305344e-02 2.7849620580673218e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 6 1.4491100609302521e-01</internalNodes>
-          <leafValues>
-            -1.5930549800395966e-01 5.6260192394256592e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 7 -1.2696940451860428e-02</internalNodes>
-          <leafValues>
-            -6.9244408607482910e-01 1.0427670180797577e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 8 5.2858339622616768e-03</internalNodes>
-          <leafValues>
-            7.3600113391876221e-02 -8.1359738111495972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 9 1.3196030259132385e-01</internalNodes>
-          <leafValues>
-            -8.5236929357051849e-02 6.4642858505249023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 10 2.6259789592586458e-05</internalNodes>
-          <leafValues>
-            -2.5225260853767395e-01 2.7700841426849365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 11 8.9456392743159086e-05</internalNodes>
-          <leafValues>
-            -1.5982529520988464e-01 1.7960309982299805e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 12 -1.8172040581703186e-02</internalNodes>
-          <leafValues>
-            4.6623438596725464e-01 -1.5989740192890167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 13 -1.1940079927444458e-01</internalNodes>
-          <leafValues>
-            5.8289611339569092e-01 -1.2482699751853943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 14 -4.9619960784912109e-01</internalNodes>
-          <leafValues>
-            7.5930988788604736e-01 -9.3943662941455841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 15 -1.8309399485588074e-01</internalNodes>
-          <leafValues>
-            5.8175492286682129e-01 -8.8393591344356537e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>24</maxWeakCount>
-      <stageThreshold>-1.7070330381393433e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 16 4.8528000712394714e-02</internalNodes>
-          <leafValues>
-            1.5333959890995175e-04 -2.6736979980468750e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 17 1.1161860078573227e-01</internalNodes>
-          <leafValues>
-            -1.3917839527130127e-01 4.7061970829963684e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 18 1.4094239473342896e-01</internalNodes>
-          <leafValues>
-            -4.5902550220489502e-01 6.8740749359130859e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 19 -1.5287929773330688e-01</internalNodes>
-          <leafValues>
-            2.5948369503021240e-01 -4.5264568179845810e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 20 5.7879261672496796e-02</internalNodes>
-          <leafValues>
-            -3.7455689907073975e-01 4.6996209025382996e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 21 5.9482799842953682e-03</internalNodes>
-          <leafValues>
-            -3.3294659852981567e-01 2.7539891004562378e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 22 -1.8460640311241150e-01</internalNodes>
-          <leafValues>
-            4.8681849241256714e-01 -1.6400709748268127e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 23 -6.6531449556350708e-03</internalNodes>
-          <leafValues>
-            -6.5238291025161743e-01 1.1169300228357315e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 24 8.0141983926296234e-03</internalNodes>
-          <leafValues>
-            1.1979129910469055e-01 -7.1780908107757568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 25 1.3707329332828522e-01</internalNodes>
-          <leafValues>
-            -1.4187979698181152e-01 3.2952371239662170e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 26 9.0329283848404884e-03</internalNodes>
-          <leafValues>
-            1.0413199663162231e-01 -7.3359811305999756e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 27 -1.8033640086650848e-01</internalNodes>
-          <leafValues>
-            -5.4879492521286011e-01 7.1061477065086365e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 28 -7.8154532238841057e-03</internalNodes>
-          <leafValues>
-            -6.8952822685241699e-01 1.0636539757251740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 29 -1.0885799676179886e-01</internalNodes>
-          <leafValues>
-            7.0592081546783447e-01 -1.0026659816503525e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 30 -1.7265169322490692e-01</internalNodes>
-          <leafValues>
-            4.8955410718917847e-01 -1.3769739866256714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 31 5.7466980069875717e-02</internalNodes>
-          <leafValues>
-            4.7874748706817627e-02 -3.3611130714416504e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 32 -1.2948019802570343e-01</internalNodes>
-          <leafValues>
-            -6.7898839712142944e-01 1.0975400358438492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 33 -5.8118398301303387e-03</internalNodes>
-          <leafValues>
-            -5.0810492038726807e-01 5.3020551800727844e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 34 -5.2181649953126907e-03</internalNodes>
-          <leafValues>
-            -7.4403452873229980e-01 7.3957882821559906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 35 -1.4101220294833183e-02</internalNodes>
-          <leafValues>
-            -5.1200342178344727e-01 2.9416909441351891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 36 -2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            2.0708249509334564e-01 -2.1835790574550629e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 37 6.6746207885444164e-03</internalNodes>
-          <leafValues>
-            7.8219272196292877e-02 -5.8582967519760132e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 38 -6.5912399441003799e-03</internalNodes>
-          <leafValues>
-            -6.5275472402572632e-01 5.5090259760618210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 39 2.6057091355323792e-01</internalNodes>
-          <leafValues>
-            2.0925529301166534e-02 -6.4536881446838379e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>32</maxWeakCount>
-      <stageThreshold>-1.5818140506744385e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 40 -8.9073367416858673e-02</internalNodes>
-          <leafValues>
-            5.4986131191253662e-01 -5.0310492515563965e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 41 -4.7085169702768326e-02</internalNodes>
-          <leafValues>
-            3.8556599617004395e-01 -1.6194720566272736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 42 1.3444259762763977e-01</internalNodes>
-          <leafValues>
-            -3.1617870926856995e-01 5.6394141912460327e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 43 4.2632790282368660e-03</internalNodes>
-          <leafValues>
-            -2.2349369525909424e-01 9.7776100039482117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 44 1.2148299813270569e-01</internalNodes>
-          <leafValues>
-            -1.3394290208816528e-01 5.3553748130798340e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 45 -3.3225349616259336e-03</internalNodes>
-          <leafValues>
-            -6.8287009000778198e-01 8.3227276802062988e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 46 -7.7031590044498444e-03</internalNodes>
-          <leafValues>
-            -6.8243968486785889e-01 1.0678689926862717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 47 -3.5309780389070511e-02</internalNodes>
-          <leafValues>
-            -6.5210008621215820e-01 9.8716266453266144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 48 -3.0447470024228096e-02</internalNodes>
-          <leafValues>
-            2.4795380234718323e-01 -2.5818860530853271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 49 4.8874127678573132e-03</internalNodes>
-          <leafValues>
-            8.0552853643894196e-02 -6.3403171300888062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 50 -1.4157949388027191e-01</internalNodes>
-          <leafValues>
-            6.3742321729660034e-01 -9.2166163027286530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 51 1.4565919339656830e-01</internalNodes>
-          <leafValues>
-            -1.0329990088939667e-01 5.8382421731948853e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 52 -1.1624179780483246e-02</internalNodes>
-          <leafValues>
-            -6.8889158964157104e-01 8.2864850759506226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 53 -2.1747549995779991e-02</internalNodes>
-          <leafValues>
-            -6.2138390541076660e-01 4.7698199748992920e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 54 1.8483079969882965e-02</internalNodes>
-          <leafValues>
-            -2.0105470716953278e-01 2.6797088980674744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 55 3.6982730031013489e-02</internalNodes>
-          <leafValues>
-            -1.6930599510669708e-01 2.2727000713348389e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 56 1.6890119761228561e-02</internalNodes>
-          <leafValues>
-            7.7417492866516113e-02 -7.6188772916793823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 57 -2.3899060487747192e-01</internalNodes>
-          <leafValues>
-            4.3991729617118835e-01 -1.3199730217456818e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 58 -1.8494910001754761e-01</internalNodes>
-          <leafValues>
-            7.3120379447937012e-01 -7.2184756398200989e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 59 9.1745406389236450e-03</internalNodes>
-          <leafValues>
-            4.9446281045675278e-02 -5.7036292552947998e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 60 7.2624902240931988e-03</internalNodes>
-          <leafValues>
-            5.9888068586587906e-02 -7.0289182662963867e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 61 5.2557058632373810e-02</internalNodes>
-          <leafValues>
-            -9.8877280950546265e-02 1.7423820495605469e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 62 -3.0039260163903236e-02</internalNodes>
-          <leafValues>
-            4.9870780110359192e-01 -7.9483807086944580e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 63 -1.0927859693765640e-02</internalNodes>
-          <leafValues>
-            -4.5372459292411804e-01 4.9035139381885529e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 64 -8.5020083934068680e-03</internalNodes>
-          <leafValues>
-            -7.3869508504867554e-01 5.1413938403129578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 65 5.5216949433088303e-02</internalNodes>
-          <leafValues>
-            -1.2393470108509064e-01 3.2208061218261719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 66 -8.8366940617561340e-02</internalNodes>
-          <leafValues>
-            4.8289158940315247e-01 -8.4041692316532135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 67 1.7165759578347206e-02</internalNodes>
-          <leafValues>
-            -1.3141620159149170e-01 2.6804590225219727e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 68 9.0517058968544006e-02</internalNodes>
-          <leafValues>
-            -9.3023687601089478e-02 4.0674149990081787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 69 1.5297899954020977e-02</internalNodes>
-          <leafValues>
-            -1.1356069892644882e-01 9.7625277936458588e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 70 -3.0629519373178482e-02</internalNodes>
-          <leafValues>
-            4.2534521222114563e-01 -8.6539477109909058e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 71 7.9888060688972473e-02</internalNodes>
-          <leafValues>
-            9.2437528073787689e-02 -3.9891800284385681e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>46</maxWeakCount>
-      <stageThreshold>-1.5400149822235107e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 72 6.1446119099855423e-02</internalNodes>
-          <leafValues>
-            -4.5049899816513062e-01 4.8542028665542603e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 73 1.8957859277725220e-01</internalNodes>
-          <leafValues>
-            -6.7046932876110077e-02 4.1977021098136902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 74 1.7365670204162598e-01</internalNodes>
-          <leafValues>
-            -2.8913810849189758e-01 5.2919161319732666e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 75 -1.6413420438766479e-02</internalNodes>
-          <leafValues>
-            2.8622248768806458e-01 -1.7473380267620087e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 76 -1.0728030465543270e-02</internalNodes>
-          <leafValues>
-            3.1400930881500244e-01 -2.8309330344200134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 77 7.7994461171329021e-03</internalNodes>
-          <leafValues>
-            -2.8578609228134155e-01 2.2502979636192322e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 78 1.1308079585433006e-02</internalNodes>
-          <leafValues>
-            1.0458890348672867e-01 -7.4274301528930664e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 79 1.0321979969739914e-01</internalNodes>
-          <leafValues>
-            -1.1678420007228851e-01 4.9274420738220215e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 80 5.6132972240447998e-03</internalNodes>
-          <leafValues>
-            8.9059703052043915e-02 -5.3440308570861816e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 81 -6.0694269835948944e-02</internalNodes>
-          <leafValues>
-            5.5840307474136353e-01 -2.2769929841160774e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 82 6.2487940303981304e-03</internalNodes>
-          <leafValues>
-            7.5867779552936554e-02 -5.8721762895584106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 83 -4.0023289620876312e-02</internalNodes>
-          <leafValues>
-            1.4124380052089691e-01 -1.7217030748724937e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 84 -4.1220769286155701e-02</internalNodes>
-          <leafValues>
-            5.1341092586517334e-01 -8.5405632853507996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 85 -3.5766770597547293e-03</internalNodes>
-          <leafValues>
-            -6.0522651672363281e-01 4.0932849049568176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 86 -9.9679548293352127e-03</internalNodes>
-          <leafValues>
-            -6.0633981227874756e-01 6.7360512912273407e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 87 -6.7802299745380878e-03</internalNodes>
-          <leafValues>
-            2.7804800868034363e-01 -1.7987030744552612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 88 -2.0799320191144943e-02</internalNodes>
-          <leafValues>
-            4.8167890310287476e-01 -1.2403880059719086e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 89 1.3915869593620300e-01</internalNodes>
-          <leafValues>
-            -4.4727511703968048e-02 5.8631712198257446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 90 -5.3711780346930027e-03</internalNodes>
-          <leafValues>
-            2.0390869677066803e-01 -2.3393230140209198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 91 1.6477100551128387e-02</internalNodes>
-          <leafValues>
-            4.0445160120725632e-02 -6.2500530481338501e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 92 1.1078979820013046e-02</internalNodes>
-          <leafValues>
-            5.7671349495649338e-02 -5.4169511795043945e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 93 1.6222869977355003e-02</internalNodes>
-          <leafValues>
-            -1.6634809970855713e-01 2.0724619925022125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 94 -7.1675870567560196e-03</internalNodes>
-          <leafValues>
-            -4.7880691289901733e-01 7.5772762298583984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 95 5.8906380087137222e-02</internalNodes>
-          <leafValues>
-            -8.6781859397888184e-02 3.9148110151290894e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 96 9.3187667429447174e-02</internalNodes>
-          <leafValues>
-            6.1930160969495773e-02 -5.7390558719635010e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 97 -2.0346969831734896e-03</internalNodes>
-          <leafValues>
-            -1.3607080280780792e-01 4.5008528977632523e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 98 5.2366578020155430e-03</internalNodes>
-          <leafValues>
-            -1.8271179497241974e-01 1.6897720098495483e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 99 -1.0588670149445534e-02</internalNodes>
-          <leafValues>
-            -5.5421608686447144e-01 4.9204610288143158e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 100 1.0035210289061069e-02</internalNodes>
-          <leafValues>
-            4.0936209261417389e-02 -6.8710482120513916e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 101 -3.4406900405883789e-02</internalNodes>
-          <leafValues>
-            3.5165968537330627e-01 -4.2896948754787445e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 102 7.4508260004222393e-03</internalNodes>
-          <leafValues>
-            4.9808371812105179e-02 -6.1689341068267822e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 103 8.2342803478240967e-02</internalNodes>
-          <leafValues>
-            8.3641491830348969e-02 -8.1014506518840790e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 104 -6.1770621687173843e-02</internalNodes>
-          <leafValues>
-            3.2327979803085327e-01 -7.9227820038795471e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 105 3.6459080874919891e-02</internalNodes>
-          <leafValues>
-            -1.5961149334907532e-01 1.2324509769678116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 106 4.7497428953647614e-02</internalNodes>
-          <leafValues>
-            -1.6593399643898010e-01 2.9666280746459961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 107 -9.6670873463153839e-03</internalNodes>
-          <leafValues>
-            -5.8818382024765015e-01 3.3668398857116699e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 108 6.9817090407013893e-03</internalNodes>
-          <leafValues>
-            5.8536108583211899e-02 -4.7672748565673828e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 109 -1.0325170308351517e-01</internalNodes>
-          <leafValues>
-            2.2064709663391113e-01 -1.2364889681339264e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 110 6.9648057222366333e-02</internalNodes>
-          <leafValues>
-            -1.0253950208425522e-01 3.7149900197982788e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 111 -5.8889530599117279e-02</internalNodes>
-          <leafValues>
-            3.2488629221916199e-01 -9.6266001462936401e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 112 -2.9939830303192139e-02</internalNodes>
-          <leafValues>
-            1.7989009618759155e-01 -1.5311330556869507e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 113 8.5012055933475494e-03</internalNodes>
-          <leafValues>
-            4.2618699371814728e-02 -5.1194471120834351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 114 -5.8030229993164539e-03</internalNodes>
-          <leafValues>
-            -4.9628180265426636e-01 5.9898991137742996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 115 2.2724280133843422e-02</internalNodes>
-          <leafValues>
-            -9.5675282180309296e-02 2.3382890224456787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 116 -3.7230949848890305e-02</internalNodes>
-          <leafValues>
-            3.2164341211318970e-01 -9.2149853706359863e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 117 1.6675420105457306e-02</internalNodes>
-          <leafValues>
-            6.1764750629663467e-02 -4.7197958827018738e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>56</maxWeakCount>
-      <stageThreshold>-1.5587489604949951e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 118 5.6446779519319534e-02</internalNodes>
-          <leafValues>
-            -4.7918748855590820e-01 4.9137350916862488e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 119 1.0642809793353081e-02</internalNodes>
-          <leafValues>
-            -1.4483550190925598e-01 3.1846639513969421e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 120 5.9832781553268433e-02</internalNodes>
-          <leafValues>
-            -3.6746969819068909e-01 2.7132889628410339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 121 -1.2132249772548676e-02</internalNodes>
-          <leafValues>
-            1.2309090048074722e-01 -8.9722618460655212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 122 3.1117030885070562e-03</internalNodes>
-          <leafValues>
-            -3.5122260451316833e-01 2.2136250138282776e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 123 -3.9773698896169662e-02</internalNodes>
-          <leafValues>
-            2.0415990054607391e-01 -4.3302271515130997e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 124 -1.8394950777292252e-02</internalNodes>
-          <leafValues>
-            1.9368380308151245e-01 -2.2873930633068085e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 125 9.2628989368677139e-03</internalNodes>
-          <leafValues>
-            -2.2149570286273956e-01 2.0678040385246277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 126 9.8584238439798355e-03</internalNodes>
-          <leafValues>
-            5.5731959640979767e-02 -6.4374917745590210e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 127 -7.9286862164735794e-03</internalNodes>
-          <leafValues>
-            -6.2890440225601196e-01 5.2759759128093719e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 128 6.5443426370620728e-02</internalNodes>
-          <leafValues>
-            -1.0315559804439545e-01 4.4659650325775146e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 129 3.2274659723043442e-02</internalNodes>
-          <leafValues>
-            -1.7194040119647980e-01 3.6625158786773682e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 130 4.8025429248809814e-02</internalNodes>
-          <leafValues>
-            8.4739521145820618e-02 -5.1354151964187622e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 131 -1.1461510322988033e-02</internalNodes>
-          <leafValues>
-            -6.5055489540100098e-01 5.5119000375270844e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 132 3.4770029596984386e-03</internalNodes>
-          <leafValues>
-            -1.6373869776725769e-01 2.6408019661903381e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 133 -4.1784349828958511e-02</internalNodes>
-          <leafValues>
-            -7.4961292743682861e-01 3.7305548787117004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 134 -3.1991851329803467e-01</internalNodes>
-          <leafValues>
-            4.0143400430679321e-01 -1.0337690263986588e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 135 -1.2783069908618927e-01</internalNodes>
-          <leafValues>
-            2.7113029360771179e-01 -9.5342872664332390e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 136 6.3939742743968964e-02</internalNodes>
-          <leafValues>
-            -1.3559409976005554e-01 3.1885480880737305e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 137 1.4868929982185364e-01</internalNodes>
-          <leafValues>
-            -7.4743010103702545e-02 5.0650840997695923e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 138 1.0867480188608170e-02</internalNodes>
-          <leafValues>
-            6.7860342562198639e-02 -5.6486707925796509e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 139 -1.1102750152349472e-01</internalNodes>
-          <leafValues>
-            3.6937940120697021e-01 -1.0240530222654343e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 140 5.5490661412477493e-02</internalNodes>
-          <leafValues>
-            -1.3388429582118988e-01 3.2509210705757141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 141 -1.2321200221776962e-01</internalNodes>
-          <leafValues>
-            -4.4768521189689636e-01 7.3690727353096008e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 142 -2.0375039428472519e-02</internalNodes>
-          <leafValues>
-            -6.6259127855300903e-01 4.2243398725986481e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 143 -3.0578291043639183e-03</internalNodes>
-          <leafValues>
-            1.8292440474033356e-01 -1.2179119884967804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 144 -1.6195779666304588e-02</internalNodes>
-          <leafValues>
-            -6.3178831338882446e-01 4.0226891636848450e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 145 5.0967220216989517e-02</internalNodes>
-          <leafValues>
-            -7.7404953539371490e-02 2.4355340003967285e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 146 5.8094091713428497e-02</internalNodes>
-          <leafValues>
-            -1.2381289899349213e-01 2.5356009602546692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 147 -4.2313118465244770e-03</internalNodes>
-          <leafValues>
-            -5.3830701112747192e-01 2.3571109399199486e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 148 -1.8701169639825821e-02</internalNodes>
-          <leafValues>
-            3.7818440794944763e-01 -8.0060847103595734e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 149 2.5685389991849661e-03</internalNodes>
-          <leafValues>
-            -1.6534459590911865e-01 1.6206049919128418e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 150 1.9677819218486547e-03</internalNodes>
-          <leafValues>
-            -1.7564539611339569e-01 1.5307140350341797e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 151 3.5487169027328491e-01</internalNodes>
-          <leafValues>
-            -1.3613759540021420e-02 3.6016708612442017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 152 2.6808801293373108e-01</internalNodes>
-          <leafValues>
-            -8.0943092703819275e-02 3.6912909150123596e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 153 6.2880717217922211e-02</internalNodes>
-          <leafValues>
-            -9.1311313211917877e-02 3.2952618598937988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 154 2.4154469370841980e-02</internalNodes>
-          <leafValues>
-            -6.8631373345851898e-02 4.5747300982475281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 155 9.1738719493150711e-03</internalNodes>
-          <leafValues>
-            5.4542269557714462e-02 -5.1373308897018433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 156 -1.3073369860649109e-02</internalNodes>
-          <leafValues>
-            -5.9702301025390625e-01 3.6591410636901855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 157 6.8077309988439083e-03</internalNodes>
-          <leafValues>
-            -3.5432789474725723e-02 2.5199410319328308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 158 4.5149110257625580e-02</internalNodes>
-          <leafValues>
-            6.3889928162097931e-02 -3.8367250561714172e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 159 9.9950553849339485e-03</internalNodes>
-          <leafValues>
-            1.3209559954702854e-02 -4.5377358794212341e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 160 7.9643689095973969e-03</internalNodes>
-          <leafValues>
-            3.3718310296535492e-02 -6.5334022045135498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 161 3.5672768950462341e-01</internalNodes>
-          <leafValues>
-            3.2221440225839615e-02 -5.8003139495849609e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 162 -3.6269061267375946e-02</internalNodes>
-          <leafValues>
-            2.4694380164146423e-01 -1.0495760291814804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 163 4.2786229401826859e-02</internalNodes>
-          <leafValues>
-            -7.0717707276344299e-02 3.6938878893852234e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 164 -1.1904439888894558e-03</internalNodes>
-          <leafValues>
-            -3.8284510374069214e-01 6.1551358550786972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 165 1.0740149766206741e-01</internalNodes>
-          <leafValues>
-            -2.1972050890326500e-02 1.8137590587139130e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 166 7.7441677451133728e-02</internalNodes>
-          <leafValues>
-            -2.0107130706310272e-01 1.1222709715366364e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 167 7.1143552660942078e-02</internalNodes>
-          <leafValues>
-            -3.1009899452328682e-02 7.3064021766185760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 168 -5.7338759303092957e-02</internalNodes>
-          <leafValues>
-            4.0864440798759460e-01 -6.1444051563739777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 169 -7.2106160223484039e-02</internalNodes>
-          <leafValues>
-            3.3982399106025696e-01 -8.6813166737556458e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 170 -5.8580391108989716e-02</internalNodes>
-          <leafValues>
-            -4.9610468745231628e-01 6.1556190252304077e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 171 4.4991881586611271e-03</internalNodes>
-          <leafValues>
-            3.9484139531850815e-02 -4.6022048592567444e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 172 5.7972371578216553e-02</internalNodes>
-          <leafValues>
-            -1.1365810036659241e-01 1.8178419768810272e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 173 4.1217011213302612e-01</internalNodes>
-          <leafValues>
-            1.7291519790887833e-02 -8.0449968576431274e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>84</maxWeakCount>
-      <stageThreshold>-1.5197360515594482e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 174 -4.9232240766286850e-02</internalNodes>
-          <leafValues>
-            4.0377280116081238e-01 -4.2361000180244446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 175 2.7331050485372543e-02</internalNodes>
-          <leafValues>
-            -1.3277700543403625e-01 2.0733749866485596e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 176 -4.5100759714841843e-02</internalNodes>
-          <leafValues>
-            3.1615048646926880e-01 -4.2044240236282349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 177 -2.5283211469650269e-01</internalNodes>
-          <leafValues>
-            -5.7497388124465942e-01 6.4437933266162872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 178 -4.2795531451702118e-02</internalNodes>
-          <leafValues>
-            1.2526020407676697e-01 -3.6320659518241882e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 179 -1.0599119961261749e-01</internalNodes>
-          <leafValues>
-            -5.9337782859802246e-01 1.1679250001907349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 180 7.1173040196299553e-03</internalNodes>
-          <leafValues>
-            -2.0296379923820496e-01 2.1597969532012939e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 181 -1.1543310247361660e-02</internalNodes>
-          <leafValues>
-            -5.6954711675643921e-01 6.9512702524662018e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 182 2.5941779837012291e-02</internalNodes>
-          <leafValues>
-            4.0675889700651169e-02 -5.9662687778472900e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 183 -1.1117800325155258e-01</internalNodes>
-          <leafValues>
-            3.9230749011039734e-01 -8.5263282060623169e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 184 1.3980209827423096e-01</internalNodes>
-          <leafValues>
-            -2.0322300493717194e-01 2.5884169340133667e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 185 2.2344760596752167e-02</internalNodes>
-          <leafValues>
-            -2.2175629436969757e-01 1.5351130068302155e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 186 3.5640481859445572e-02</internalNodes>
-          <leafValues>
-            -1.1393369734287262e-01 2.9229050874710083e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 187 8.0998390913009644e-03</internalNodes>
-          <leafValues>
-            3.9572209119796753e-02 -6.6712599992752075e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 188 5.3474139422178268e-02</internalNodes>
-          <leafValues>
-            -7.6794572174549103e-02 4.3219769001007080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 189 -1.3862100429832935e-02</internalNodes>
-          <leafValues>
-            8.4603689610958099e-02 -1.6059190034866333e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 190 -7.7099740505218506e-02</internalNodes>
-          <leafValues>
-            5.4772442579269409e-01 -6.6370002925395966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 191 -1.2801369652152061e-02</internalNodes>
-          <leafValues>
-            -5.5477362871170044e-01 5.6784640997648239e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 192 -1.0235139779979363e-04</internalNodes>
-          <leafValues>
-            1.4509449899196625e-01 -1.9509540498256683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 193 7.0487200282514095e-03</internalNodes>
-          <leafValues>
-            4.0054310113191605e-02 -4.4429570436477661e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 194 -4.5558041892945766e-03</internalNodes>
-          <leafValues>
-            -4.3548169732093811e-01 6.0629911720752716e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 195 1.9300010055303574e-02</internalNodes>
-          <leafValues>
-            -7.1191310882568359e-02 8.1069536507129669e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 196 5.4058600217103958e-03</internalNodes>
-          <leafValues>
-            -1.4167229831218719e-01 1.9680340588092804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 197 -8.6945146322250366e-03</internalNodes>
-          <leafValues>
-            -1.3133870065212250e-01 2.0501429215073586e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 198 9.7174253314733505e-03</internalNodes>
-          <leafValues>
-            -1.8720309436321259e-01 1.8761770427227020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 199 -1.1155830323696136e-01</internalNodes>
-          <leafValues>
-            4.0864959359169006e-01 -6.9993183016777039e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 200 9.7640797495841980e-02</internalNodes>
-          <leafValues>
-            -1.2449839711189270e-01 2.1617740392684937e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 201 -1.5061390399932861e-01</internalNodes>
-          <leafValues>
-            -3.8674619793891907e-01 5.4316818714141846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 202 4.9472171813249588e-03</internalNodes>
-          <leafValues>
-            4.3653231114149094e-02 -5.1559001207351685e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 203 -2.0495539531111717e-02</internalNodes>
-          <leafValues>
-            -5.4416948556900024e-01 7.6605947688221931e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 204 -2.7278669178485870e-02</internalNodes>
-          <leafValues>
-            4.2674958705902100e-01 -5.6518279016017914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 205 1.3524649664759636e-02</internalNodes>
-          <leafValues>
-            -5.0716150552034378e-02 1.8381009995937347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 206 -9.4986647367477417e-02</internalNodes>
-          <leafValues>
-            -4.2324599623680115e-01 5.2298299968242645e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 207 1.1051560193300247e-01</internalNodes>
-          <leafValues>
-            3.5527960862964392e-03 -4.1661360859870911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 208 -1.3192519545555115e-01</internalNodes>
-          <leafValues>
-            -6.2827968597412109e-01 3.9149269461631775e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 209 1.9424719735980034e-02</internalNodes>
-          <leafValues>
-            6.5935368184000254e-04 -5.7528150081634521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 210 1.4707759954035282e-02</internalNodes>
-          <leafValues>
-            3.9024401456117630e-02 -5.6517869234085083e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 211 2.9291698592714965e-04</internalNodes>
-          <leafValues>
-            -1.2926730513572693e-01 1.2589070200920105e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 212 2.1614220459014177e-03</internalNodes>
-          <leafValues>
-            -1.3799719512462616e-01 1.6510820388793945e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 213 -4.8753958940505981e-01</internalNodes>
-          <leafValues>
-            4.3802809715270996e-01 -6.0623701661825180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 214 5.0596840679645538e-02</internalNodes>
-          <leafValues>
-            -4.3501000851392746e-02 5.1223617792129517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 215 1.9822390377521515e-01</internalNodes>
-          <leafValues>
-            1.6843929886817932e-02 -4.5089399814605713e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 216 -5.2561469376087189e-02</internalNodes>
-          <leafValues>
-            6.1911600828170776e-01 -3.3245678991079330e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 217 3.9434649050235748e-02</internalNodes>
-          <leafValues>
-            -1.3324570655822754e-01 1.5556560456752777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 218 -8.2802558317780495e-03</internalNodes>
-          <leafValues>
-            -4.6491861343383789e-01 4.6377800405025482e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 219 1.8781690299510956e-01</internalNodes>
-          <leafValues>
-            -7.3843918740749359e-02 2.0355209708213806e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 220 5.9288300573825836e-02</internalNodes>
-          <leafValues>
-            -1.0040319710969925e-01 2.9306849837303162e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 221 4.8330631107091904e-03</internalNodes>
-          <leafValues>
-            -1.2360379844903946e-01 1.8227760493755341e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 222 1.3462300412356853e-02</internalNodes>
-          <leafValues>
-            -8.6501419544219971e-02 2.5453040003776550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 223 1.1278780177235603e-02</internalNodes>
-          <leafValues>
-            3.5953551530838013e-02 -3.6370408535003662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 224 1.1120849847793579e-01</internalNodes>
-          <leafValues>
-            4.1156098246574402e-02 -4.9355891346931458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 225 5.8954879641532898e-03</internalNodes>
-          <leafValues>
-            8.6054708808660507e-03 -5.7748162746429443e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 226 7.0609137765131891e-05</internalNodes>
-          <leafValues>
-            -1.9438520073890686e-01 1.0896600037813187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 227 1.1162689886987209e-02</internalNodes>
-          <leafValues>
-            -1.0524000227451324e-01 1.7699919641017914e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 228 1.4758500270545483e-02</internalNodes>
-          <leafValues>
-            3.3827111124992371e-02 -5.7838040590286255e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 229 6.5100449137389660e-03</internalNodes>
-          <leafValues>
-            1.2222490273416042e-02 -6.8323171138763428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 230 1.3240260072052479e-02</internalNodes>
-          <leafValues>
-            3.1728319823741913e-02 -4.9623319506645203e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 231 -2.1011430025100708e-01</internalNodes>
-          <leafValues>
-            -4.9222511053085327e-01 5.4596872068941593e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 232 2.4140250682830811e-01</internalNodes>
-          <leafValues>
-            3.1461920589208603e-02 -5.6909531354904175e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 233 3.8006789982318878e-03</internalNodes>
-          <leafValues>
-            -6.5067090094089508e-02 3.7642251700162888e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 234 1.2624409794807434e-01</internalNodes>
-          <leafValues>
-            3.9377398788928986e-02 -4.5900979638099670e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 235 1.3010799884796143e-02</internalNodes>
-          <leafValues>
-            -5.7910811156034470e-02 2.9622611403465271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 236 7.1800998412072659e-03</internalNodes>
-          <leafValues>
-            3.4249510616064072e-02 -5.6361818313598633e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 237 2.4246750399470329e-02</internalNodes>
-          <leafValues>
-            -1.0864839702844620e-01 1.0131549835205078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 238 -1.6966859996318817e-01</internalNodes>
-          <leafValues>
-            -3.4119209647178650e-01 4.9988009035587311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 239 -2.0461060106754303e-02</internalNodes>
-          <leafValues>
-            -2.0795580744743347e-01 3.4589329734444618e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 240 -2.1308129653334618e-02</internalNodes>
-          <leafValues>
-            5.0270938873291016e-01 -4.0076468139886856e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 241 -1.0930839926004410e-02</internalNodes>
-          <leafValues>
-            1.5635550022125244e-01 -7.5159102678298950e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 242 9.9652167409658432e-03</internalNodes>
-          <leafValues>
-            3.6286398768424988e-02 -5.0529891252517700e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 243 -3.3498809207230806e-03</internalNodes>
-          <leafValues>
-            -2.7242329716682434e-01 2.7380689978599548e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 244 5.9739351272583008e-02</internalNodes>
-          <leafValues>
-            2.6872010901570320e-02 -6.3886368274688721e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 245 1.2781299650669098e-01</internalNodes>
-          <leafValues>
-            1.4498339733108878e-03 -3.8336989283561707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 246 2.9313340783119202e-03</internalNodes>
-          <leafValues>
-            -1.3099479675292969e-01 1.2987799942493439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 247 6.1392742209136486e-03</internalNodes>
-          <leafValues>
-            1.0834789834916592e-02 -3.1701850891113281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 248 -8.1134513020515442e-02</internalNodes>
-          <leafValues>
-            -3.5706749558448792e-01 4.9477528780698776e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 249 -6.0443039983510971e-02</internalNodes>
-          <leafValues>
-            4.0889498591423035e-01 -2.2163810208439827e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 250 5.9390361420810223e-03</internalNodes>
-          <leafValues>
-            -1.0460360348224640e-01 1.9445130228996277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 251 7.8998396929819137e-05</internalNodes>
-          <leafValues>
-            -4.7956719994544983e-02 5.7118128985166550e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 252 -1.8057189881801605e-03</internalNodes>
-          <leafValues>
-            -2.9241380095481873e-01 5.8119218796491623e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 253 6.7375837825238705e-03</internalNodes>
-          <leafValues>
-            -8.8656462728977203e-02 4.4145271182060242e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 254 5.5221098591573536e-05</internalNodes>
-          <leafValues>
-            -1.2490449845790863e-01 1.2661279737949371e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 255 2.4163089692592621e-02</internalNodes>
-          <leafValues>
-            -1.3393550179898739e-02 3.4677559137344360e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 256 1.2786190025508404e-02</internalNodes>
-          <leafValues>
-            -5.6848809123039246e-02 2.7275329828262329e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 257 -1.3572210446000099e-03</internalNodes>
-          <leafValues>
-            6.5408997237682343e-02 -1.4144480228424072e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>99</maxWeakCount>
-      <stageThreshold>-1.5084979534149170e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 258 1.2013850361108780e-01</internalNodes>
-          <leafValues>
-            -3.6573138833045959e-01 3.6293190717697144e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 259 -1.4620110392570496e-01</internalNodes>
-          <leafValues>
-            3.9655679464340210e-01 -1.9461369514465332e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 260 1.2343060225248337e-02</internalNodes>
-          <leafValues>
-            -2.4749830365180969e-01 2.2562310099601746e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 261 3.2748850062489510e-03</internalNodes>
-          <leafValues>
-            7.2104498744010925e-02 -3.8964301347732544e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 262 2.4311800301074982e-01</internalNodes>
-          <leafValues>
-            9.4664301723241806e-03 1.0626879882812500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 263 3.9923518896102905e-02</internalNodes>
-          <leafValues>
-            -1.2903560698032379e-01 1.9358199834823608e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 264 -7.0425998419523239e-03</internalNodes>
-          <leafValues>
-            1.5446980297565460e-01 -2.6546320319175720e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 265 6.5724221058189869e-03</internalNodes>
-          <leafValues>
-            7.3708683252334595e-02 -5.8167362213134766e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 266 -2.3335739970207214e-02</internalNodes>
-          <leafValues>
-            -4.2724540829658508e-01 8.8655106723308563e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 267 -2.6215979829430580e-02</internalNodes>
-          <leafValues>
-            3.5602480173110962e-01 -1.0141780227422714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 268 1.1400490067899227e-02</internalNodes>
-          <leafValues>
-            -1.1014410108327866e-01 3.6441218852996826e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 269 1.4520609751343727e-02</internalNodes>
-          <leafValues>
-            2.1424520760774612e-02 -4.9028620123863220e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 270 -8.5834655910730362e-03</internalNodes>
-          <leafValues>
-            -6.5257197618484497e-01 5.4663181304931641e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 271 -1.3745459914207458e-01</internalNodes>
-          <leafValues>
-            -5.0492751598358154e-01 5.2730988711118698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 272 -1.2615700252354145e-02</internalNodes>
-          <leafValues>
-            -6.2455308437347412e-01 3.1615808606147766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 273 -2.3604110538144596e-05</internalNodes>
-          <leafValues>
-            9.8741486668586731e-02 -9.4690948724746704e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 274 -5.8249959693057463e-05</internalNodes>
-          <leafValues>
-            1.4451199769973755e-01 -1.6137890517711639e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 275 -1.9951239228248596e-02</internalNodes>
-          <leafValues>
-            -3.7731361389160156e-01 2.4471480399370193e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 276 -5.4968569427728653e-02</internalNodes>
-          <leafValues>
-            -4.4058069586753845e-01 5.3490400314331055e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 277 -1.6939230263233185e-02</internalNodes>
-          <leafValues>
-            -6.6650348901748657e-01 3.1559631228446960e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 278 1.1090139858424664e-02</internalNodes>
-          <leafValues>
-            3.1197320669889450e-02 -5.4754877090454102e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 279 2.8986210003495216e-02</internalNodes>
-          <leafValues>
-            -1.2510849535465240e-01 9.1882318258285522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 280 -1.0453460365533829e-01</internalNodes>
-          <leafValues>
-            4.3575459718704224e-01 -6.0676250606775284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 281 -4.6273069456219673e-03</internalNodes>
-          <leafValues>
-            9.7388513386249542e-02 -9.1208413243293762e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 282 5.1698398590087891e-01</internalNodes>
-          <leafValues>
-            -6.0991138219833374e-02 4.8797199130058289e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 283 -6.6743656992912292e-02</internalNodes>
-          <leafValues>
-            3.7274169921875000e-01 -6.3504636287689209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 284 1.5470350161194801e-02</internalNodes>
-          <leafValues>
-            6.1050411313772202e-02 -4.8717978596687317e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 285 -3.5926289856433868e-03</internalNodes>
-          <leafValues>
-            1.4211909472942352e-01 -1.5088430047035217e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 286 -2.0565569400787354e-01</internalNodes>
-          <leafValues>
-            -4.7814959287643433e-01 4.3618928641080856e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 287 2.9654990881681442e-02</internalNodes>
-          <leafValues>
-            -3.5474069416522980e-02 1.8964229524135590e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 288 1.3284200429916382e-01</internalNodes>
-          <leafValues>
-            5.5517818778753281e-02 -3.9714470505714417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 289 3.3759230282157660e-03</internalNodes>
-          <leafValues>
-            4.1567429900169373e-02 -3.6205479502677917e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 290 5.4163701133802533e-04</internalNodes>
-          <leafValues>
-            -1.8664340674877167e-01 1.0409829765558243e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 291 -5.2731011062860489e-02</internalNodes>
-          <leafValues>
-            2.7602180838584900e-01 -2.7059659361839294e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 292 -6.2107551842927933e-02</internalNodes>
-          <leafValues>
-            3.1340470910072327e-01 -6.9655612111091614e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 293 -1.3962079770863056e-02</internalNodes>
-          <leafValues>
-            4.1585158556699753e-02 -1.0574489831924438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 294 5.9113580733537674e-02</internalNodes>
-          <leafValues>
-            -1.1327149718999863e-01 2.1400369703769684e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 295 -3.2472780346870422e-01</internalNodes>
-          <leafValues>
-            -2.1028089523315430e-01 1.4781720004975796e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 296 -9.5277121290564537e-03</internalNodes>
-          <leafValues>
-            1.0578139871358871e-01 -2.1662670373916626e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 297 -5.5769551545381546e-02</internalNodes>
-          <leafValues>
-            2.7192020416259766e-01 -2.1369809284806252e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 298 1.3918150216341019e-02</internalNodes>
-          <leafValues>
-            -8.8893227279186249e-02 2.5558671355247498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 299 2.3373179137706757e-03</internalNodes>
-          <leafValues>
-            -1.1573249846696854e-01 1.5424209833145142e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 300 7.1918689645826817e-03</internalNodes>
-          <leafValues>
-            4.1037619113922119e-02 -5.0523638725280762e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 301 8.5471794009208679e-03</internalNodes>
-          <leafValues>
-            1.4381350018084049e-02 -2.3163309693336487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 302 -3.2956521026790142e-03</internalNodes>
-          <leafValues>
-            -2.8280371427536011e-01 6.1899840831756592e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 303 -2.2070689126849174e-02</internalNodes>
-          <leafValues>
-            1.4894370734691620e-01 -9.4912350177764893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 304 1.6646440327167511e-01</internalNodes>
-          <leafValues>
-            -5.9046350419521332e-02 4.5291060209274292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 305 7.9817809164524078e-03</internalNodes>
-          <leafValues>
-            -7.0236042141914368e-02 1.2004370242357254e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 306 7.7218217775225639e-03</internalNodes>
-          <leafValues>
-            4.7613430768251419e-02 -4.1645199060440063e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 307 2.8179560104035772e-05</internalNodes>
-          <leafValues>
-            -1.1355110257863998e-01 9.9581547081470490e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 308 1.1535449884831905e-02</internalNodes>
-          <leafValues>
-            4.7971371561288834e-02 -4.7012269496917725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 309 -4.1789751499891281e-02</internalNodes>
-          <leafValues>
-            1.8016649782657623e-01 -9.2361323535442352e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 310 7.5845858082175255e-03</internalNodes>
-          <leafValues>
-            -1.1702799797058105e-01 1.5177269279956818e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 311 1.1714509688317776e-02</internalNodes>
-          <leafValues>
-            -3.9957709610462189e-02 5.6379120796918869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 312 8.0904200673103333e-02</internalNodes>
-          <leafValues>
-            -5.8665640652179718e-02 3.2547131180763245e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 313 1.1185820214450359e-02</internalNodes>
-          <leafValues>
-            -1.5692700445652008e-01 1.0740319639444351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 314 2.0746290683746338e-02</internalNodes>
-          <leafValues>
-            -7.2714947164058685e-02 2.9882580041885376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 315 7.1547999978065491e-03</internalNodes>
-          <leafValues>
-            5.0220601260662079e-02 -3.8929650187492371e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 316 -4.7662649303674698e-03</internalNodes>
-          <leafValues>
-            1.0623099654912949e-01 -1.6408999264240265e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 317 1.3244680128991604e-02</internalNodes>
-          <leafValues>
-            -3.4063499420881271e-02 3.1890881061553955e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 318 2.0384900271892548e-03</internalNodes>
-          <leafValues>
-            3.9936680346727371e-02 -4.6564960479736328e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 319 2.2383779287338257e-02</internalNodes>
-          <leafValues>
-            1.9574180245399475e-02 -3.1799200177192688e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 320 -6.0196588747203350e-03</internalNodes>
-          <leafValues>
-            -4.0058508515357971e-01 4.1111808270215988e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 321 1.3340399600565434e-02</internalNodes>
-          <leafValues>
-            7.2229830548167229e-03 -3.5855838656425476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 322 1.6548049449920654e-01</internalNodes>
-          <leafValues>
-            3.6020029336214066e-02 -4.4204410910606384e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 323 -1.7267789691686630e-02</internalNodes>
-          <leafValues>
-            9.5772877335548401e-02 -3.0379680916666985e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 324 3.7873580586165190e-03</internalNodes>
-          <leafValues>
-            -1.3409850001335144e-01 1.2926609814167023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 325 5.5727548897266388e-03</internalNodes>
-          <leafValues>
-            -6.6907882690429688e-02 1.7382170259952545e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 326 8.5729602724313736e-03</internalNodes>
-          <leafValues>
-            3.0721880495548248e-02 -5.8534258604049683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 327 -2.6385819539427757e-02</internalNodes>
-          <leafValues>
-            1.7780029773712158e-01 -3.9368398487567902e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 328 1.1899930424988270e-02</internalNodes>
-          <leafValues>
-            -5.7148940861225128e-02 3.0101099610328674e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 329 6.8353079259395599e-02</internalNodes>
-          <leafValues>
-            2.9185149818658829e-02 -1.5513670444488525e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 330 1.0824030265212059e-02</internalNodes>
-          <leafValues>
-            -1.3470290601253510e-01 1.3852770626544952e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 331 8.8032193481922150e-02</internalNodes>
-          <leafValues>
-            -3.6536350846290588e-02 2.3603020608425140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 332 -2.5776170194149017e-02</internalNodes>
-          <leafValues>
-            1.8358540534973145e-01 -1.3343839347362518e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 333 8.2010023295879364e-02</internalNodes>
-          <leafValues>
-            1.1817749589681625e-02 -3.1878089904785156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 334 -2.0370729267597198e-02</internalNodes>
-          <leafValues>
-            2.5035229325294495e-01 -7.0230402052402496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 335 7.8417092561721802e-02</internalNodes>
-          <leafValues>
-            2.5404049083590508e-02 -2.1633470058441162e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 336 5.4000681266188622e-03</internalNodes>
-          <leafValues>
-            3.9877630770206451e-02 -3.8197609782218933e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 337 1.1655789799988270e-02</internalNodes>
-          <leafValues>
-            8.5724918171763420e-03 -4.6817851066589355e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 338 6.1775790527462959e-05</internalNodes>
-          <leafValues>
-            -1.7354169487953186e-01 9.0420998632907867e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 339 -1.8026469275355339e-02</internalNodes>
-          <leafValues>
-            -7.9275929927825928e-01 9.2333797365427017e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 340 2.1709210705012083e-03</internalNodes>
-          <leafValues>
-            -8.4628887474536896e-02 1.6544300317764282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 341 -8.2279697060585022e-02</internalNodes>
-          <leafValues>
-            2.1551139652729034e-01 -9.1900646686553955e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 342 1.0293359868228436e-02</internalNodes>
-          <leafValues>
-            2.3490300402045250e-02 -6.7681080102920532e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 343 -2.1881979703903198e-01</internalNodes>
-          <leafValues>
-            5.0478667020797729e-01 -3.1892780214548111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 344 -2.2118939086794853e-02</internalNodes>
-          <leafValues>
-            -6.3159322738647461e-01 2.5988319888710976e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 345 2.2942360490560532e-02</internalNodes>
-          <leafValues>
-            -4.0672279894351959e-02 3.5672950744628906e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 346 -5.6763160973787308e-02</internalNodes>
-          <leafValues>
-            3.5523039102554321e-01 -3.8303978741168976e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 347 -7.5660292059183121e-03</internalNodes>
-          <leafValues>
-            -3.7110349535942078e-01 1.9238779321312904e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 348 1.2348339706659317e-01</internalNodes>
-          <leafValues>
-            2.1532310172915459e-02 -6.3291150331497192e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 349 2.7259990019956604e-05</internalNodes>
-          <leafValues>
-            -1.2036570161581039e-01 1.0520099848508835e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 350 8.5555076599121094e-02</internalNodes>
-          <leafValues>
-            3.4211669117212296e-02 -4.8727419972419739e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 351 -1.4981040358543396e-01</internalNodes>
-          <leafValues>
-            4.2568850517272949e-01 -4.0688131004571915e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 352 2.4900440126657486e-02</internalNodes>
-          <leafValues>
-            -4.6901259571313858e-02 2.8062260150909424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 353 7.8607350587844849e-03</internalNodes>
-          <leafValues>
-            5.2375709637999535e-03 -9.7636777162551880e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 354 7.3002476710826159e-05</internalNodes>
-          <leafValues>
-            -1.6680990159511566e-01 1.0618969798088074e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 355 1.7788860201835632e-01</internalNodes>
-          <leafValues>
-            -1.6729630529880524e-02 1.7790630459785461e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 356 1.2957760132849216e-02</internalNodes>
-          <leafValues>
-            3.2777778804302216e-02 -4.4296708703041077e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>107</maxWeakCount>
-      <stageThreshold>-1.4449690580368042e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 357 -6.7150183022022247e-02</internalNodes>
-          <leafValues>
-            3.9577248692512512e-01 -3.1510940194129944e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 358 4.8962850123643875e-02</internalNodes>
-          <leafValues>
-            -2.6961261034011841e-01 1.6869769990444183e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 359 2.7194418944418430e-03</internalNodes>
-          <leafValues>
-            -3.5195991396903992e-01 2.2836600244045258e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 360 -5.1611121743917465e-03</internalNodes>
-          <leafValues>
-            2.4076780676841736e-01 -2.2074960172176361e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 361 2.3630170524120331e-01</internalNodes>
-          <leafValues>
-            -1.6534950584173203e-02 -7.9190631103515625e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 362 -1.9205499440431595e-02</internalNodes>
-          <leafValues>
-            3.6792600154876709e-01 -5.1191650331020355e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 363 3.8221171125769615e-03</internalNodes>
-          <leafValues>
-            -1.4513429999351501e-01 3.2845288515090942e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 364 -1.1440079659223557e-02</internalNodes>
-          <leafValues>
-            -3.5804128646850586e-01 1.1914189904928207e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 365 8.8761039078235626e-03</internalNodes>
-          <leafValues>
-            -2.1450379490852356e-01 1.7957879602909088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 366 8.4572024643421173e-03</internalNodes>
-          <leafValues>
-            -6.9746732711791992e-02 1.6367790102958679e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 367 -1.2689580023288727e-01</internalNodes>
-          <leafValues>
-            2.4832360446453094e-01 -1.2166699767112732e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 368 4.6295030042529106e-03</internalNodes>
-          <leafValues>
-            -5.6057151407003403e-02 3.5743680596351624e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 369 -7.5959236710332334e-05</internalNodes>
-          <leafValues>
-            1.4901199936866760e-01 -1.8527039885520935e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 370 1.3179309666156769e-01</internalNodes>
-          <leafValues>
-            3.1471058726310730e-02 -6.5023940801620483e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 371 1.3506829738616943e-02</internalNodes>
-          <leafValues>
-            4.9855500459671021e-02 -5.2044898271560669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 372 -1.3922819495201111e-01</internalNodes>
-          <leafValues>
-            -4.2741641402244568e-01 2.2189699113368988e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 373 6.0221530497074127e-02</internalNodes>
-          <leafValues>
-            5.5732671171426773e-02 -4.3182530999183655e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 374 -1.3498260080814362e-01</internalNodes>
-          <leafValues>
-            -7.1942609548568726e-01 6.5442471532151103e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 375 -3.9722030051052570e-03</internalNodes>
-          <leafValues>
-            1.1103550344705582e-01 -2.0654919743537903e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 376 -2.1884329617023468e-02</internalNodes>
-          <leafValues>
-            -2.5028410553932190e-01 4.5227419584989548e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 377 5.6294221431016922e-02</internalNodes>
-          <leafValues>
-            3.7377629429101944e-02 -6.2178802490234375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 378 -4.1612509638071060e-02</internalNodes>
-          <leafValues>
-            -5.8709871768951416e-01 3.2716508954763412e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 379 7.3085748590528965e-03</internalNodes>
-          <leafValues>
-            -1.3444009423255920e-01 1.8418920040130615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 380 -3.9157591760158539e-02</internalNodes>
-          <leafValues>
-            -7.2376221418380737e-02 3.7419971078634262e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 381 8.2146301865577698e-03</internalNodes>
-          <leafValues>
-            -2.0513060688972473e-01 1.1532980203628540e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 382 -3.4585020039230585e-03</internalNodes>
-          <leafValues>
-            5.0050161778926849e-02 -5.7895500212907791e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 383 4.0681189857423306e-03</internalNodes>
-          <leafValues>
-            -9.4465941190719604e-02 2.9207259416580200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 384 -5.4911449551582336e-02</internalNodes>
-          <leafValues>
-            -3.5309541225433350e-01 7.0034377276897430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 385 6.9372743368148804e-02</internalNodes>
-          <leafValues>
-            2.2225400432944298e-02 -7.1920287609100342e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 386 7.9585537314414978e-02</internalNodes>
-          <leafValues>
-            -3.8074009120464325e-02 3.0334910750389099e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 387 5.4406329989433289e-02</internalNodes>
-          <leafValues>
-            4.4882718473672867e-02 -4.4952940940856934e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 388 2.6906138658523560e-01</internalNodes>
-          <leafValues>
-            -3.6008980125188828e-02 5.3076601028442383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 389 4.1156299412250519e-03</internalNodes>
-          <leafValues>
-            -1.0036530345678329e-01 1.8043400347232819e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 390 -1.4385980367660522e-01</internalNodes>
-          <leafValues>
-            -6.2012898921966553e-01 1.1513910256326199e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 391 1.4403319917619228e-02</internalNodes>
-          <leafValues>
-            -7.6877258718013763e-02 2.6086720824241638e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 392 3.9774607867002487e-03</internalNodes>
-          <leafValues>
-            4.2533420026302338e-02 -4.6169069409370422e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 393 -4.6856269240379333e-02</internalNodes>
-          <leafValues>
-            4.8750248551368713e-01 -4.3399021029472351e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 394 -5.2139908075332642e-03</internalNodes>
-          <leafValues>
-            1.1039640009403229e-01 -1.8073910474777222e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 395 -6.7679318599402905e-03</internalNodes>
-          <leafValues>
-            -5.2303707599639893e-01 3.0777219682931900e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 396 -7.1862619370222092e-03</internalNodes>
-          <leafValues>
-            1.8328289687633514e-01 -5.6999340653419495e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 397 -9.6733449026942253e-04</internalNodes>
-          <leafValues>
-            1.5355390310287476e-01 -1.0831949859857559e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 398 2.9203139245510101e-02</internalNodes>
-          <leafValues>
-            -3.7776630371809006e-02 1.0933200269937515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 399 9.8407091572880745e-03</internalNodes>
-          <leafValues>
-            -1.0926169902086258e-01 1.6795679926872253e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 400 4.4505208730697632e-01</internalNodes>
-          <leafValues>
-            2.6825889945030212e-02 -7.8063780069351196e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 401 -6.1639058403670788e-03</internalNodes>
-          <leafValues>
-            -4.9384048581123352e-01 3.1130479648709297e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 402 -4.9183439463376999e-02</internalNodes>
-          <leafValues>
-            -3.2318601012229919e-01 4.6904429793357849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 403 2.6128649551537819e-05</internalNodes>
-          <leafValues>
-            -1.0635109990835190e-01 1.5446029603481293e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 404 -3.6831300705671310e-02</internalNodes>
-          <leafValues>
-            2.8206101059913635e-01 -1.2601600028574467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 405 -7.1884751319885254e-02</internalNodes>
-          <leafValues>
-            2.3140460252761841e-01 -7.3330886662006378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 406 5.7498589158058167e-02</internalNodes>
-          <leafValues>
-            -9.6435636281967163e-02 2.0507499575614929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 407 3.9720349013805389e-03</internalNodes>
-          <leafValues>
-            3.6001030355691910e-02 -5.4572492837905884e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 408 2.6467780116945505e-03</internalNodes>
-          <leafValues>
-            -4.4131889939308167e-02 7.5650222599506378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 409 -8.8836792856454849e-03</internalNodes>
-          <leafValues>
-            -4.6108219027519226e-01 3.2768789678812027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 410 -1.2856270186603069e-02</internalNodes>
-          <leafValues>
-            7.2195157408714294e-02 -2.9732180759310722e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 411 1.2072769924998283e-02</internalNodes>
-          <leafValues>
-            -5.0588879734277725e-02 2.9055860638618469e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 412 1.8108480435330421e-04</internalNodes>
-          <leafValues>
-            -7.1461439132690430e-02 7.9823851585388184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 413 1.6076380386948586e-02</internalNodes>
-          <leafValues>
-            4.7663111239671707e-02 -3.2759100198745728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 414 -9.5250606536865234e-03</internalNodes>
-          <leafValues>
-            -1.8988420069217682e-01 7.0858187973499298e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 415 -6.2362798489630222e-03</internalNodes>
-          <leafValues>
-            -4.2836889624595642e-01 3.3970601856708527e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 416 2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            -8.0308698117733002e-02 1.1084640026092529e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 417 -1.1949270265176892e-03</internalNodes>
-          <leafValues>
-            2.2565570473670959e-01 -6.2634393572807312e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 418 7.5406976975500584e-05</internalNodes>
-          <leafValues>
-            -1.2379209697246552e-01 8.9499987661838531e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 419 -1.5506739728152752e-02</internalNodes>
-          <leafValues>
-            3.1002271175384521e-01 -6.5474428236484528e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 420 5.1327929832041264e-03</internalNodes>
-          <leafValues>
-            2.0446259528398514e-02 -4.9159330129623413e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 421 4.8783698730403557e-05</internalNodes>
-          <leafValues>
-            -1.7229010164737701e-01 1.0885129868984222e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 422 6.1788759194314480e-03</internalNodes>
-          <leafValues>
-            1.9519099965691566e-02 -3.1397709250450134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 423 1.7130610346794128e-01</internalNodes>
-          <leafValues>
-            1.7246689647436142e-02 -7.7260631322860718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 424 -4.2986709624528885e-02</internalNodes>
-          <leafValues>
-            1.5775360167026520e-01 -4.8268649727106094e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 425 -5.2703949622809887e-03</internalNodes>
-          <leafValues>
-            -4.6245059370994568e-01 3.9202030748128891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 426 2.0323780179023743e-01</internalNodes>
-          <leafValues>
-            3.5771671682596207e-02 -3.9400190114974976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 427 1.8217949196696281e-02</internalNodes>
-          <leafValues>
-            -4.0734618902206421e-02 3.7419110536575317e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 428 -1.0606779687805101e-04</internalNodes>
-          <leafValues>
-            1.0123260319232941e-01 -9.1124363243579865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 429 3.8906659465283155e-03</internalNodes>
-          <leafValues>
-            -1.5201710164546967e-01 9.3479022383689880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 430 1.2537229806184769e-02</internalNodes>
-          <leafValues>
-            -6.0158051550388336e-02 2.5583261251449585e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 431 -9.9574513733386993e-03</internalNodes>
-          <leafValues>
-            1.3798029720783234e-01 -1.2496340274810791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 432 3.6789269652217627e-03</internalNodes>
-          <leafValues>
-            4.2771819978952408e-02 -3.0630341172218323e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 433 3.7803261075168848e-03</internalNodes>
-          <leafValues>
-            3.2370451837778091e-02 -4.1383808851242065e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 434 6.8372930400073528e-05</internalNodes>
-          <leafValues>
-            -6.4546667039394379e-02 7.9466506838798523e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 435 -6.3996631070040166e-05</internalNodes>
-          <leafValues>
-            1.3556569814682007e-01 -1.1014910042285919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 436 -8.3484519564080983e-05</internalNodes>
-          <leafValues>
-            1.2857739627361298e-01 -9.3731433153152466e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 437 -1.0072399862110615e-02</internalNodes>
-          <leafValues>
-            -3.8280281424522400e-01 3.4546609967947006e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 438 -1.0316800326108932e-02</internalNodes>
-          <leafValues>
-            1.2971499562263489e-01 -1.0244529694318771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 439 1.0713770054280758e-02</internalNodes>
-          <leafValues>
-            -7.0452913641929626e-02 2.3588269948959351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 440 2.6279760524630547e-02</internalNodes>
-          <leafValues>
-            -1.2427800148725510e-01 8.1192903220653534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 441 5.5222269147634506e-03</internalNodes>
-          <leafValues>
-            6.1467431485652924e-02 -2.6426988840103149e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 442 7.4345488101243973e-03</internalNodes>
-          <leafValues>
-            -8.8471248745918274e-02 1.4741429686546326e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 443 -5.8172550052404404e-03</internalNodes>
-          <leafValues>
-            -3.1304401159286499e-01 4.3700240552425385e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 444 -3.6513719707727432e-02</internalNodes>
-          <leafValues>
-            3.2511061429977417e-01 -3.3389080315828323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 445 -4.6333879232406616e-02</internalNodes>
-          <leafValues>
-            5.0428932905197144e-01 -2.5547180324792862e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 446 1.5593919670209289e-04</internalNodes>
-          <leafValues>
-            -5.6827340275049210e-02 7.7660933136940002e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 447 8.2058515399694443e-03</internalNodes>
-          <leafValues>
-            3.2184999436140060e-02 -4.2038908600807190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 448 -4.4285461306571960e-02</internalNodes>
-          <leafValues>
-            -3.8966551423072815e-01 1.1912340298295021e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 449 2.5834020227193832e-02</internalNodes>
-          <leafValues>
-            4.1731890290975571e-02 -3.3182808756828308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 450 3.0991230159997940e-02</internalNodes>
-          <leafValues>
-            1.7353070899844170e-02 -6.6546082496643066e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 451 1.1223349720239639e-02</internalNodes>
-          <leafValues>
-            -6.4317956566810608e-02 2.1755810081958771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 452 -1.0795110138133168e-03</internalNodes>
-          <leafValues>
-            6.0490209609270096e-02 -1.2580770254135132e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 453 1.5915779769420624e-01</internalNodes>
-          <leafValues>
-            3.2363180071115494e-02 -4.0798279643058777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 454 2.5649809686001390e-05</internalNodes>
-          <leafValues>
-            -7.4427329003810883e-02 8.9588217437267303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 455 2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            -9.3008317053318024e-02 1.3343870639801025e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 456 1.4618090353906155e-02</internalNodes>
-          <leafValues>
-            1.9154099747538567e-02 -6.4152318239212036e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 457 2.3532200604677200e-02</internalNodes>
-          <leafValues>
-            -6.0358211398124695e-02 2.1782620251178741e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 458 1.5804159920662642e-03</internalNodes>
-          <leafValues>
-            -1.0721720010042191e-01 9.3893371522426605e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 459 1.0986100137233734e-01</internalNodes>
-          <leafValues>
-            6.0271378606557846e-02 -2.3471720516681671e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 460 -9.9525712430477142e-03</internalNodes>
-          <leafValues>
-            -5.9630388021469116e-01 2.2674830630421638e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 461 -2.7224500663578510e-03</internalNodes>
-          <leafValues>
-            -3.4362030029296875e-01 3.1717851758003235e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 462 -3.2594770193099976e-02</internalNodes>
-          <leafValues>
-            2.0315499603748322e-01 -7.1107327938079834e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 463 3.1989789567887783e-03</internalNodes>
-          <leafValues>
-            4.0066048502922058e-02 -3.1384450197219849e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>141</maxWeakCount>
-      <stageThreshold>-1.4003620147705078e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 464 7.7838331460952759e-02</internalNodes>
-          <leafValues>
-            -2.8954571485519409e-01 3.3590829372406006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 465 -1.8956370651721954e-02</internalNodes>
-          <leafValues>
-            1.3711029291152954e-01 -1.1915580183267593e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 466 -2.9012229293584824e-02</internalNodes>
-          <leafValues>
-            2.6803770661354065e-01 -2.8188169002532959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 467 9.8552741110324860e-04</internalNodes>
-          <leafValues>
-            -8.1531323492527008e-02 1.5281049907207489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 468 1.0328469943488017e-04</internalNodes>
-          <leafValues>
-            -2.4661579728126526e-01 1.7609159648418427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 469 -4.5671691186726093e-03</internalNodes>
-          <leafValues>
-            -4.8002299666404724e-01 6.5878503024578094e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 470 2.3546300828456879e-02</internalNodes>
-          <leafValues>
-            -1.6119800508022308e-01 1.7704969644546509e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 471 1.0163839906454086e-01</internalNodes>
-          <leafValues>
-            2.4753339588642120e-02 -5.6535172462463379e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 472 -1.1764950118958950e-02</internalNodes>
-          <leafValues>
-            5.7793740183115005e-02 -3.6047691106796265e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 473 2.9407900292426348e-03</internalNodes>
-          <leafValues>
-            -5.6864451617002487e-02 3.2670629024505615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 474 1.2036000378429890e-02</internalNodes>
-          <leafValues>
-            5.0029050558805466e-02 -4.3046820163726807e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 475 -6.2945342506282032e-05</internalNodes>
-          <leafValues>
-            1.4414469897747040e-01 -1.2317640334367752e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 476 -1.0069269686937332e-01</internalNodes>
-          <leafValues>
-            -4.2357030510902405e-01 4.9802679568529129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 477 1.4581729657948017e-02</internalNodes>
-          <leafValues>
-            3.0177220702171326e-02 -6.6406387090682983e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 478 -6.5432410337962210e-05</internalNodes>
-          <leafValues>
-            1.2506960332393646e-01 -1.6383630037307739e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 479 -9.9888555705547333e-03</internalNodes>
-          <leafValues>
-            -3.9762818813323975e-01 3.1741239130496979e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 480 1.4515570364892483e-02</internalNodes>
-          <leafValues>
-            -6.7560233175754547e-02 3.2044398784637451e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 481 4.4144429266452789e-03</internalNodes>
-          <leafValues>
-            -1.1010450124740601e-01 1.0620170086622238e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 482 -1.9047720357775688e-02</internalNodes>
-          <leafValues>
-            4.3591830134391785e-01 -5.6705459952354431e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 483 1.1922540143132210e-02</internalNodes>
-          <leafValues>
-            2.2601209580898285e-02 -3.4638860821723938e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 484 3.1663820147514343e-02</internalNodes>
-          <leafValues>
-            -6.9747507572174072e-02 3.3460348844528198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 485 -4.0487637743353844e-03</internalNodes>
-          <leafValues>
-            -3.7775671482086182e-01 4.1244998574256897e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 486 8.5836304351687431e-03</internalNodes>
-          <leafValues>
-            4.0586728602647781e-02 -4.6596848964691162e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 487 2.5460028648376465e-01</internalNodes>
-          <leafValues>
-            2.9270550236105919e-02 -6.1891537904739380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 488 -2.7734090108424425e-03</internalNodes>
-          <leafValues>
-            1.4600990712642670e-01 -1.2482350319623947e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 489 -9.1764237731695175e-03</internalNodes>
-          <leafValues>
-            2.4817289412021637e-01 -5.5748548358678818e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 490 7.4874111451208591e-03</internalNodes>
-          <leafValues>
-            -1.0712330043315887e-01 1.6646879911422729e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 491 5.0387311726808548e-02</internalNodes>
-          <leafValues>
-            -5.0489690154790878e-02 1.2678450345993042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 492 7.7575668692588806e-02</internalNodes>
-          <leafValues>
-            1.2100619822740555e-01 -1.7718310654163361e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 493 1.0453660041093826e-02</internalNodes>
-          <leafValues>
-            -3.0459070578217506e-02 2.4667170643806458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 494 -1.1940089985728264e-02</internalNodes>
-          <leafValues>
-            1.4313019812107086e-01 -1.4006079733371735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 495 -2.1164349745959044e-03</internalNodes>
-          <leafValues>
-            5.4504208266735077e-02 -9.2412821948528290e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 496 4.8259901814162731e-03</internalNodes>
-          <leafValues>
-            -7.9584978520870209e-02 4.2220059037208557e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 497 8.0155059695243835e-03</internalNodes>
-          <leafValues>
-            1.9714679569005966e-02 -4.7956329584121704e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 498 -7.2104120627045631e-03</internalNodes>
-          <leafValues>
-            -4.6714499592781067e-01 3.2550580799579620e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 499 -3.1670030206441879e-02</internalNodes>
-          <leafValues>
-            3.7553250789642334e-01 -1.0949539951980114e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 500 6.3463337719440460e-03</internalNodes>
-          <leafValues>
-            -6.5203480422496796e-02 2.4626299738883972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 501 -3.6191360559314489e-03</internalNodes>
-          <leafValues>
-            -1.7093889415264130e-01 3.1114179641008377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 502 4.3581780046224594e-03</internalNodes>
-          <leafValues>
-            3.6647301167249680e-02 -4.2374929785728455e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 503 7.1306470781564713e-03</internalNodes>
-          <leafValues>
-            3.6186341196298599e-02 -3.5813450813293457e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 504 2.0273950695991516e-01</internalNodes>
-          <leafValues>
-            -4.6457529067993164e-02 3.2370680570602417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 505 -6.8010999821126461e-03</internalNodes>
-          <leafValues>
-            1.7033079266548157e-01 -9.0368293225765228e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 506 1.9894709810614586e-02</internalNodes>
-          <leafValues>
-            3.1671468168497086e-02 -6.2594968080520630e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 507 7.2822818765416741e-04</internalNodes>
-          <leafValues>
-            -7.0317156612873077e-02 9.6888661384582520e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 508 3.6959239840507507e-01</internalNodes>
-          <leafValues>
-            1.8628669902682304e-02 -7.7441781759262085e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 509 1.0125909931957722e-02</internalNodes>
-          <leafValues>
-            -6.6889248788356781e-02 1.5247039496898651e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 510 -1.2455949932336807e-01</internalNodes>
-          <leafValues>
-            2.8963080048561096e-01 -4.8562891781330109e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 511 2.5091960560530424e-03</internalNodes>
-          <leafValues>
-            -3.5043649375438690e-02 1.1125019937753677e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 512 -2.8475138545036316e-01</internalNodes>
-          <leafValues>
-            3.5674199461936951e-01 -4.2815480381250381e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 513 -1.6454169526696205e-03</internalNodes>
-          <leafValues>
-            1.9690880179405212e-01 -4.3971408158540726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 514 1.5759950038045645e-03</internalNodes>
-          <leafValues>
-            -1.5584190189838409e-01 1.0929670184850693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 515 6.7018110712524503e-05</internalNodes>
-          <leafValues>
-            -9.3722403049468994e-02 7.9448983073234558e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 516 4.5426278375089169e-03</internalNodes>
-          <leafValues>
-            3.8276840001344681e-02 -4.2568549513816833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 517 -5.8855221141129732e-04</internalNodes>
-          <leafValues>
-            6.0305360704660416e-02 -1.4615760743618011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 518 -1.3436630368232727e-02</internalNodes>
-          <leafValues>
-            -2.3946529626846313e-01 6.3380107283592224e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 519 -4.6623498201370239e-03</internalNodes>
-          <leafValues>
-            -4.1108340024948120e-02 3.8609981536865234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 520 1.9660739228129387e-02</internalNodes>
-          <leafValues>
-            -3.7687391042709351e-02 3.9592269062995911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 521 -8.2754753530025482e-03</internalNodes>
-          <leafValues>
-            1.0256180167198181e-01 -4.2751040309667587e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 522 -3.1780879944562912e-02</internalNodes>
-          <leafValues>
-            3.6264151334762573e-01 -4.0603369474411011e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 523 2.1684650331735611e-02</internalNodes>
-          <leafValues>
-            2.2938560694456100e-02 -3.5124549269676208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 524 -1.5403999947011471e-02</internalNodes>
-          <leafValues>
-            2.9343938827514648e-01 -4.8390299081802368e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 525 -8.1902230158448219e-03</internalNodes>
-          <leafValues>
-            -3.2770949602127075e-01 4.1368559002876282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 526 -7.9587763175368309e-03</internalNodes>
-          <leafValues>
-            -5.8493942022323608e-01 1.9722139462828636e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 527 2.2349890321493149e-02</internalNodes>
-          <leafValues>
-            6.3248360529541969e-03 -6.7023582756519318e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 528 1.8036609981209040e-03</internalNodes>
-          <leafValues>
-            -7.2210237383842468e-02 2.0629370212554932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 529 -2.0462639629840851e-02</internalNodes>
-          <leafValues>
-            -3.4459498524665833e-01 2.6240190491080284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 530 9.1937501565553248e-05</internalNodes>
-          <leafValues>
-            -1.1172589659690857e-01 1.1403390020132065e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 531 -2.0170810166746378e-03</internalNodes>
-          <leafValues>
-            5.8695279061794281e-02 -4.3408349156379700e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 532 1.6941629583016038e-03</internalNodes>
-          <leafValues>
-            6.6092863678932190e-02 -2.0478239655494690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 533 1.1209110170602798e-01</internalNodes>
-          <leafValues>
-            -3.9467259193770587e-04 -5.1060438156127930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 534 7.2903931140899658e-02</internalNodes>
-          <leafValues>
-            -3.9906460791826248e-02 3.3780521154403687e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 535 -3.0249240808188915e-03</internalNodes>
-          <leafValues>
-            1.1249010264873505e-01 -1.4893929660320282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 536 -1.7990779131650925e-02</internalNodes>
-          <leafValues>
-            -2.4895049631595612e-01 5.2208401262760162e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 537 -2.8163999319076538e-02</internalNodes>
-          <leafValues>
-            3.4624269604682922e-01 -4.6813420951366425e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 538 1.4555190503597260e-01</internalNodes>
-          <leafValues>
-            -1.3727329671382904e-01 9.9273979663848877e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 539 1.9026039540767670e-01</internalNodes>
-          <leafValues>
-            1.7888879403471947e-02 -7.1033167839050293e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 540 1.7087809741497040e-01</internalNodes>
-          <leafValues>
-            2.1454460918903351e-02 -5.6766891479492188e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 541 -4.9392290413379669e-02</internalNodes>
-          <leafValues>
-            4.6601650118827820e-01 -2.8405459597706795e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 542 3.9778267964720726e-03</internalNodes>
-          <leafValues>
-            -1.0497090220451355e-01 1.2071380019187927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 543 -1.8006129562854767e-01</internalNodes>
-          <leafValues>
-            3.8309639692306519e-01 -1.4102069661021233e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 544 3.3417791128158569e-03</internalNodes>
-          <leafValues>
-            -1.0533019900321960e-01 1.2955980002880096e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 545 -2.8957970440387726e-02</internalNodes>
-          <leafValues>
-            -3.2808870077133179e-01 8.5954880341887474e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 546 1.2989169918000698e-02</internalNodes>
-          <leafValues>
-            4.0657699108123779e-02 -3.4399700164794922e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 547 9.3189179897308350e-03</internalNodes>
-          <leafValues>
-            2.0000560209155083e-02 -3.0933129787445068e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 548 -5.2429470088100061e-05</internalNodes>
-          <leafValues>
-            1.2686310708522797e-01 -9.5152713358402252e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 549 5.6926601246232167e-05</internalNodes>
-          <leafValues>
-            -6.9777466356754303e-02 1.0061009973287582e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 550 -6.6324290819466114e-03</internalNodes>
-          <leafValues>
-            -3.7384641170501709e-01 3.2925400882959366e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 551 -1.8024910241365433e-03</internalNodes>
-          <leafValues>
-            8.3397291600704193e-02 -7.6452530920505524e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 552 6.5196603536605835e-02</internalNodes>
-          <leafValues>
-            3.1775739043951035e-02 -3.6805319786071777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 553 -1.7499100416898727e-02</internalNodes>
-          <leafValues>
-            -2.5744670629501343e-01 2.0698830485343933e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 554 8.7240803986787796e-03</internalNodes>
-          <leafValues>
-            -5.1745019853115082e-02 2.2648270428180695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 555 -2.4927619379013777e-03</internalNodes>
-          <leafValues>
-            9.7427107393741608e-02 -8.4230922162532806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 556 -4.4600460678339005e-02</internalNodes>
-          <leafValues>
-            -7.6867169141769409e-01 1.4703400433063507e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 557 3.2505799084901810e-02</internalNodes>
-          <leafValues>
-            3.0005859211087227e-02 -4.9162200093269348e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 558 -2.5649809686001390e-05</internalNodes>
-          <leafValues>
-            1.1314590275287628e-01 -9.4056800007820129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 559 -2.3604110538144596e-05</internalNodes>
-          <leafValues>
-            8.8364727795124054e-02 -6.8058848381042480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 560 2.6216499463771470e-05</internalNodes>
-          <leafValues>
-            -9.1394290328025818e-02 1.2277369946241379e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 561 -2.9017529450356960e-03</internalNodes>
-          <leafValues>
-            -1.5153430402278900e-01 3.0693180859088898e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 562 6.8409377709031105e-03</internalNodes>
-          <leafValues>
-            2.8549060225486755e-02 -3.7030708789825439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 563 1.2914350628852844e-01</internalNodes>
-          <leafValues>
-            5.2656780928373337e-02 -2.0276160538196564e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 564 -1.1380250006914139e-01</internalNodes>
-          <leafValues>
-            2.2251050174236298e-01 -5.1625229418277740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 565 8.2800639793276787e-03</internalNodes>
-          <leafValues>
-            -6.5930999815464020e-02 6.0252968221902847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 566 -5.3036700934171677e-02</internalNodes>
-          <leafValues>
-            -4.6652480959892273e-01 2.7602789923548698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 567 1.1862640082836151e-01</internalNodes>
-          <leafValues>
-            -3.3534578979015350e-02 3.7986829876899719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 568 3.0761719681322575e-03</internalNodes>
-          <leafValues>
-            -1.2260209769010544e-01 1.1537180095911026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 569 -1.7530350305605680e-04</internalNodes>
-          <leafValues>
-            8.5038073360919952e-02 -9.2355959117412567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 570 6.6797256469726562e-02</internalNodes>
-          <leafValues>
-            2.7040729299187660e-02 -4.5982721447944641e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 571 2.3379459977149963e-02</internalNodes>
-          <leafValues>
-            -6.2042251229286194e-02 1.7584429681301117e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 572 1.0949910210911185e-04</internalNodes>
-          <leafValues>
-            -1.2381599843502045e-01 9.6813596785068512e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 573 3.3863238990306854e-02</internalNodes>
-          <leafValues>
-            1.3947179540991783e-02 -1.8364569544792175e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 574 -3.4967120736837387e-02</internalNodes>
-          <leafValues>
-            -8.0809932947158813e-01 1.4799409545958042e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 575 4.5521798729896545e-01</internalNodes>
-          <leafValues>
-            1.3605389744043350e-02 -6.0478818416595459e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 576 1.6087630763649940e-02</internalNodes>
-          <leafValues>
-            5.8055009692907333e-02 -1.9826529920101166e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 577 1.7235469818115234e-01</internalNodes>
-          <leafValues>
-            7.4058459140360355e-03 -5.1899272203445435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 578 1.5957270516082644e-03</internalNodes>
-          <leafValues>
-            -4.2893920093774796e-02 2.6449468731880188e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 579 -7.6875099912285805e-03</internalNodes>
-          <leafValues>
-            -2.7318629622459412e-01 1.3109279796481133e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 580 -1.5951599925756454e-03</internalNodes>
-          <leafValues>
-            2.0967930555343628e-01 -4.9833789467811584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 581 1.0349789634346962e-02</internalNodes>
-          <leafValues>
-            7.2593181394040585e-03 -4.4166409969329834e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 582 6.9909151643514633e-03</internalNodes>
-          <leafValues>
-            2.4994520470499992e-02 -4.0138208866119385e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 583 4.7854268923401833e-03</internalNodes>
-          <leafValues>
-            2.3502610623836517e-02 -9.9097803235054016e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 584 -4.3787118047475815e-03</internalNodes>
-          <leafValues>
-            -3.6183780431747437e-01 2.6457339525222778e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 585 3.1168339774012566e-03</internalNodes>
-          <leafValues>
-            -4.5762591063976288e-02 1.1177150160074234e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 586 -1.1843509972095490e-02</internalNodes>
-          <leafValues>
-            2.7435851097106934e-01 -3.5070378333330154e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 587 -1.5275570331141353e-04</internalNodes>
-          <leafValues>
-            8.4554448723793030e-02 -7.5316190719604492e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 588 -8.6214318871498108e-02</internalNodes>
-          <leafValues>
-            1.3820220530033112e-01 -7.1106247603893280e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 589 3.6304339766502380e-02</internalNodes>
-          <leafValues>
-            -3.8147788494825363e-02 1.1627230048179626e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 590 1.4807139523327351e-03</internalNodes>
-          <leafValues>
-            -1.0411299765110016e-01 1.1228249967098236e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 591 7.3545570485293865e-03</internalNodes>
-          <leafValues>
-            3.3374588936567307e-02 -3.5831621289253235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 592 3.4468159079551697e-02</internalNodes>
-          <leafValues>
-            -5.4936081171035767e-02 2.0390030741691589e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 593 -5.9239879250526428e-02</internalNodes>
-          <leafValues>
-            4.3228080868721008e-01 -2.4707719683647156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 594 2.4270419776439667e-01</internalNodes>
-          <leafValues>
-            2.2037450224161148e-02 -5.4193401336669922e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 595 -1.2284790165722370e-02</internalNodes>
-          <leafValues>
-            -3.7384429574012756e-01 9.2992689460515976e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 596 -1.1619590222835541e-02</internalNodes>
-          <leafValues>
-            -5.8757847547531128e-01 1.7577210441231728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 597 2.1228510886430740e-02</internalNodes>
-          <leafValues>
-            5.6798839941620827e-03 -3.1449121236801147e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 598 1.5732479514554143e-03</internalNodes>
-          <leafValues>
-            -7.9905793070793152e-02 1.3976779580116272e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 599 6.1120092868804932e-01</internalNodes>
-          <leafValues>
-            1.3321190141141415e-02 -5.5098742246627808e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 600 -2.0905339624732733e-04</internalNodes>
-          <leafValues>
-            1.0304620116949081e-01 -9.4890147447586060e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 601 7.5772361014969647e-05</internalNodes>
-          <leafValues>
-            -8.5623927414417267e-02 8.7449163198471069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 602 -4.8126399517059326e-02</internalNodes>
-          <leafValues>
-            2.1198000013828278e-01 -4.7644909471273422e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 603 -8.6747817695140839e-03</internalNodes>
-          <leafValues>
-            -4.2384940385818481e-01 2.1367609500885010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 604 8.1669818609952927e-03</internalNodes>
-          <leafValues>
-            -5.2588619291782379e-02 2.0056459307670593e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>111</maxWeakCount>
-      <stageThreshold>-1.4018720388412476e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 605 8.5009383037686348e-03</internalNodes>
-          <leafValues>
-            -4.2771288752555847e-01 2.8500860929489136e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 606 -3.6675720475614071e-03</internalNodes>
-          <leafValues>
-            1.8305620551109314e-01 -4.3906581401824951e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 607 1.5451109968125820e-02</internalNodes>
-          <leafValues>
-            -2.5173941254615784e-01 1.8866589665412903e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 608 3.0046209692955017e-01</internalNodes>
-          <leafValues>
-            -5.4038830101490021e-02 4.8624160885810852e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 609 3.6772501468658447e-01</internalNodes>
-          <leafValues>
-            2.5102959945797920e-02 -9.5871881103515625e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 610 -4.0474338456988335e-03</internalNodes>
-          <leafValues>
-            2.1335700154304504e-01 -9.7891986370086670e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 611 -5.3314119577407837e-02</internalNodes>
-          <leafValues>
-            -6.1614441871643066e-01 5.5987618863582611e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 612 -2.7916610240936279e-01</internalNodes>
-          <leafValues>
-            4.0783798694610596e-01 -1.1853860318660736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 613 -3.6125730257481337e-03</internalNodes>
-          <leafValues>
-            2.3250600695610046e-01 -1.5664309263229370e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 614 -2.6726289652287960e-03</internalNodes>
-          <leafValues>
-            1.7571009695529938e-01 -1.5493810176849365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 615 -1.1829179711639881e-02</internalNodes>
-          <leafValues>
-            -6.6747820377349854e-01 4.5493591576814651e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 616 4.4169160537421703e-03</internalNodes>
-          <leafValues>
-            -2.2939409315586090e-01 1.0542789846658707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 617 -1.0357840359210968e-01</internalNodes>
-          <leafValues>
-            3.4294271469116211e-01 -6.9909207522869110e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 618 3.4325949382036924e-03</internalNodes>
-          <leafValues>
-            -1.8468430638313293e-01 1.6796229779720306e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 619 -2.2001469507813454e-02</internalNodes>
-          <leafValues>
-            -4.4479998946189880e-01 4.7688841819763184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 620 3.4049700479954481e-03</internalNodes>
-          <leafValues>
-            -6.1201151460409164e-02 1.3493420183658600e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 621 -1.6375419497489929e-01</internalNodes>
-          <leafValues>
-            -4.9726039171218872e-01 4.3114218860864639e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 622 4.2683139443397522e-02</internalNodes>
-          <leafValues>
-            1.9057090580463409e-01 -4.5245770364999771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 623 -5.8941352181136608e-03</internalNodes>
-          <leafValues>
-            1.2556779384613037e-01 -1.5506540238857269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 624 1.6873490065336227e-02</internalNodes>
-          <leafValues>
-            -6.6119313240051270e-02 3.4744951128959656e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 625 4.3099578469991684e-02</internalNodes>
-          <leafValues>
-            5.7583600282669067e-02 -3.3952900767326355e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 626 -1.9477229565382004e-02</internalNodes>
-          <leafValues>
-            -8.0392777919769287e-01 2.4795620702207088e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 627 -4.6851670049363747e-05</internalNodes>
-          <leafValues>
-            1.1619050055742264e-01 -1.7257040739059448e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 628 -6.1807930469512939e-02</internalNodes>
-          <leafValues>
-            4.0565249323844910e-01 -5.5282030254602432e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 629 -3.9889659732580185e-02</internalNodes>
-          <leafValues>
-            -2.8519150614738464e-01 7.1040973067283630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 630 5.1790241152048111e-02</internalNodes>
-          <leafValues>
-            1.0264960117638111e-02 -3.3244749903678894e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 631 5.5987639352679253e-03</internalNodes>
-          <leafValues>
-            -2.3741720616817474e-01 7.6081469655036926e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 632 3.7294030189514160e-01</internalNodes>
-          <leafValues>
-            -1.4457600191235542e-02 2.7664330601692200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 633 2.8402900695800781e-01</internalNodes>
-          <leafValues>
-            -6.6569052636623383e-02 3.0555289983749390e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 634 -3.3610709011554718e-02</internalNodes>
-          <leafValues>
-            3.7678858637809753e-01 -3.8632158190011978e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 635 4.1422769427299500e-03</internalNodes>
-          <leafValues>
-            -1.1140339821577072e-01 1.6079390048980713e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 636 -7.8478157520294189e-02</internalNodes>
-          <leafValues>
-            5.2872437238693237e-01 -3.0871439725160599e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 637 7.3427408933639526e-03</internalNodes>
-          <leafValues>
-            -8.8620431721210480e-02 1.7578239738941193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 638 3.6650819238275290e-03</internalNodes>
-          <leafValues>
-            -1.4013199508190155e-01 8.8994570076465607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 639 2.4947609752416611e-02</internalNodes>
-          <leafValues>
-            -5.7245790958404541e-02 2.9098680615425110e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 640 -9.5206424593925476e-03</internalNodes>
-          <leafValues>
-            -5.0748902559280396e-01 2.9920989647507668e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 641 -5.2697858773171902e-03</internalNodes>
-          <leafValues>
-            -3.3674290776252747e-01 4.2487990111112595e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 642 -5.2029830403625965e-03</internalNodes>
-          <leafValues>
-            -3.8729768991470337e-01 3.9070878177881241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 643 1.5543039888143539e-02</internalNodes>
-          <leafValues>
-            -8.1509388983249664e-02 1.8083870410919189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 644 -5.2419401705265045e-02</internalNodes>
-          <leafValues>
-            -5.5317038297653198e-01 1.8499359488487244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 645 -1.1110330000519753e-02</internalNodes>
-          <leafValues>
-            -7.0344591140747070e-01 1.8182870000600815e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 646 2.4250999558717012e-03</internalNodes>
-          <leafValues>
-            -4.5725211501121521e-02 5.1940329372882843e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 647 -8.0726835876703262e-03</internalNodes>
-          <leafValues>
-            -2.2301289439201355e-01 5.9184651821851730e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 648 8.3049550652503967e-02</internalNodes>
-          <leafValues>
-            -7.7934071421623230e-02 3.9087869226932526e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 649 -8.3224788308143616e-02</internalNodes>
-          <leafValues>
-            2.9764831066131592e-01 -5.5352561175823212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 650 -2.8794119134545326e-02</internalNodes>
-          <leafValues>
-            1.7857789993286133e-01 -2.2039219737052917e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 651 5.6489530950784683e-02</internalNodes>
-          <leafValues>
-            -6.9890931248664856e-02 2.1076519787311554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 652 -6.1607591807842255e-02</internalNodes>
-          <leafValues>
-            -6.7098802328109741e-01 2.5408720597624779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 653 4.0430251508951187e-02</internalNodes>
-          <leafValues>
-            -4.3006941676139832e-02 3.6125731468200684e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 654 8.1663697957992554e-02</internalNodes>
-          <leafValues>
-            3.7107840180397034e-02 -4.0147781372070312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 655 2.0060269162058830e-02</internalNodes>
-          <leafValues>
-            2.8394110500812531e-02 -4.5096978545188904e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 656 4.4809231162071228e-01</internalNodes>
-          <leafValues>
-            -2.8863489627838135e-02 5.4432421922683716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 657 9.4997808337211609e-03</internalNodes>
-          <leafValues>
-            -6.3185006380081177e-02 2.0143640041351318e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 658 -2.3604110538144596e-05</internalNodes>
-          <leafValues>
-            8.5501417517662048e-02 -6.2585182487964630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 659 -8.9380017016083002e-05</internalNodes>
-          <leafValues>
-            1.2780819833278656e-01 -1.0212580114603043e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 660 -3.0439419788308442e-04</internalNodes>
-          <leafValues>
-            1.3623830676078796e-01 -9.6396081149578094e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 661 -7.1386282797902822e-05</internalNodes>
-          <leafValues>
-            1.2020439654588699e-01 -1.1520940065383911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 662 -7.4278670363128185e-03</internalNodes>
-          <leafValues>
-            -1.1765129864215851e-01 2.5646839290857315e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 663 9.1655907453969121e-05</internalNodes>
-          <leafValues>
-            -1.0665830224752426e-01 1.1622580140829086e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 664 -8.8285116362385452e-05</internalNodes>
-          <leafValues>
-            1.0202009975910187e-01 -9.4773791730403900e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 665 1.7160010337829590e-01</internalNodes>
-          <leafValues>
-            -9.6324786543846130e-02 1.3936719298362732e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 666 6.1614410951733589e-03</internalNodes>
-          <leafValues>
-            -7.8339770436286926e-02 1.9864350557327271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 667 1.0488010011613369e-02</internalNodes>
-          <leafValues>
-            2.2472979500889778e-02 -5.8889657258987427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 668 4.2389098554849625e-02</internalNodes>
-          <leafValues>
-            3.2426279503852129e-03 -3.8179519772529602e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 669 1.8942179158329964e-02</internalNodes>
-          <leafValues>
-            -3.8592588156461716e-02 3.4485790133476257e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 670 -1.8505830084905028e-03</internalNodes>
-          <leafValues>
-            6.2117058783769608e-02 -1.4222989976406097e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 671 3.4762551076710224e-03</internalNodes>
-          <leafValues>
-            -6.3081473112106323e-02 2.0072069764137268e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 672 8.2640787586569786e-03</internalNodes>
-          <leafValues>
-            -4.6010430902242661e-02 1.1308149993419647e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 673 -8.4993377327919006e-02</internalNodes>
-          <leafValues>
-            2.1542909741401672e-01 -6.5986298024654388e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 674 -2.3180700838565826e-02</internalNodes>
-          <leafValues>
-            -3.4274458885192871e-01 2.3565940558910370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 675 1.7291529104113579e-02</internalNodes>
-          <leafValues>
-            3.1432639807462692e-02 -3.9180231094360352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 676 3.1471049878746271e-03</internalNodes>
-          <leafValues>
-            -1.2125449627637863e-01 9.5088116824626923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 677 -9.5794200897216797e-02</internalNodes>
-          <leafValues>
-            3.7472879886627197e-01 -4.2680621147155762e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 678 -2.6557369157671928e-02</internalNodes>
-          <leafValues>
-            -4.7922921180725098e-01 2.6146400719881058e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 679 -8.1971433246508241e-05</internalNodes>
-          <leafValues>
-            1.0347779840230942e-01 -1.1757999658584595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 680 -6.4540100283920765e-03</internalNodes>
-          <leafValues>
-            -5.2700281143188477e-01 3.4957159310579300e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 681 -3.3087339252233505e-02</internalNodes>
-          <leafValues>
-            -3.9793440699577332e-01 2.5454800575971603e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 682 7.0128366351127625e-02</internalNodes>
-          <leafValues>
-            -2.9464110732078552e-02 4.1201031208038330e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 683 -9.6940301591530442e-04</internalNodes>
-          <leafValues>
-            1.2894269824028015e-01 -8.4787413477897644e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 684 1.8660759553313255e-02</internalNodes>
-          <leafValues>
-            -6.2266499735414982e-03 3.6698341369628906e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 685 1.3513430021703243e-02</internalNodes>
-          <leafValues>
-            1.7080739140510559e-02 -7.1084249019622803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 686 -7.1627681609243155e-04</internalNodes>
-          <leafValues>
-            9.5187976956367493e-02 -4.6339459717273712e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 687 5.4968800395727158e-03</internalNodes>
-          <leafValues>
-            1.9017050042748451e-02 -5.6606787443161011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 688 -3.3988431096076965e-02</internalNodes>
-          <leafValues>
-            2.0532059669494629e-01 -5.3730130195617676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 689 -9.4949705526232719e-03</internalNodes>
-          <leafValues>
-            -4.7799149155616760e-01 2.6109879836440086e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 690 8.8990468066185713e-04</internalNodes>
-          <leafValues>
-            -5.3878299891948700e-02 1.5298619866371155e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 691 6.1590311815962195e-05</internalNodes>
-          <leafValues>
-            -1.2033499777317047e-01 8.7442100048065186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 692 -5.8384079486131668e-02</internalNodes>
-          <leafValues>
-            1.9574840366840363e-01 -6.6920563578605652e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 693 1.6286900499835610e-03</internalNodes>
-          <leafValues>
-            -1.0631299763917923e-01 1.2674750387668610e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 694 7.9788036644458771e-02</internalNodes>
-          <leafValues>
-            1.2167329899966717e-02 -5.1673012971878052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 695 5.3892009891569614e-03</internalNodes>
-          <leafValues>
-            -1.2911440432071686e-01 8.8783398270606995e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 696 2.5091820955276489e-01</internalNodes>
-          <leafValues>
-            3.2179851084947586e-02 -3.7686109542846680e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 697 1.7209710553288460e-02</internalNodes>
-          <leafValues>
-            1.2379400432109833e-02 -7.8753459453582764e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 698 1.8916660547256470e-01</internalNodes>
-          <leafValues>
-            -3.3356759697198868e-02 1.8951129913330078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 699 -4.8115151003003120e-03</internalNodes>
-          <leafValues>
-            2.0501169562339783e-01 -5.3161811083555222e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 700 2.0269770175218582e-02</internalNodes>
-          <leafValues>
-            -2.8937749564647675e-02 2.1850499510765076e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 701 -7.8484037658199668e-05</internalNodes>
-          <leafValues>
-            5.7575121521949768e-02 -1.8328189849853516e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 702 2.2350680083036423e-03</internalNodes>
-          <leafValues>
-            -3.2419610768556595e-02 8.6609072983264923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 703 -1.6989709809422493e-02</internalNodes>
-          <leafValues>
-            2.8270080685615540e-01 -3.8365218788385391e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 704 -6.4167408272624016e-03</internalNodes>
-          <leafValues>
-            1.3134069740772247e-01 -4.3611731380224228e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 705 7.4191158637404442e-03</internalNodes>
-          <leafValues>
-            -7.0633463561534882e-02 1.7600670456886292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 706 6.3850679434835911e-03</internalNodes>
-          <leafValues>
-            3.2175671309232712e-02 -3.9056539535522461e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 707 -1.2516930699348450e-01</internalNodes>
-          <leafValues>
-            -8.1828737258911133e-01 1.0883989743888378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 708 -4.4671529904007912e-03</internalNodes>
-          <leafValues>
-            -5.0346201658248901e-01 4.6763787977397442e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 709 -7.7330769272521138e-05</internalNodes>
-          <leafValues>
-            1.1231110244989395e-01 -9.6118189394474030e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 710 4.8749379813671112e-02</internalNodes>
-          <leafValues>
-            1.5394289977848530e-02 -1.3794970512390137e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 711 -1.5057959593832493e-02</internalNodes>
-          <leafValues>
-            9.6794217824935913e-02 -1.0408320277929306e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 712 -1.2867139652371407e-02</internalNodes>
-          <leafValues>
-            -5.5943179130554199e-01 8.0226631835103035e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 713 4.0156361460685730e-01</internalNodes>
-          <leafValues>
-            1.4450309798121452e-02 -6.9868141412734985e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 714 1.4811520231887698e-03</internalNodes>
-          <leafValues>
-            -6.0255978256464005e-02 6.1738591641187668e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 715 -3.6016408354043961e-02</internalNodes>
-          <leafValues>
-            -7.6666152477264404e-01 1.4014800079166889e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>157</maxWeakCount>
-      <stageThreshold>-1.4323190450668335e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 716 9.1756142675876617e-02</internalNodes>
-          <leafValues>
-            -2.3866780102252960e-01 4.1412800550460815e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 717 -6.3968323171138763e-02</internalNodes>
-          <leafValues>
-            2.3543690145015717e-01 -2.2721849381923676e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 718 -1.0061279870569706e-02</internalNodes>
-          <leafValues>
-            1.9033129513263702e-01 -2.6683130860328674e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 719 -1.3561559841036797e-02</internalNodes>
-          <leafValues>
-            1.4927579462528229e-01 -1.8083690106868744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 720 -1.5076830051839352e-02</internalNodes>
-          <leafValues>
-            2.0609399676322937e-01 -1.8534150719642639e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 721 -6.1514219269156456e-03</internalNodes>
-          <leafValues>
-            -5.2573877573013306e-01 1.7555620521306992e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 722 5.2476930432021618e-04</internalNodes>
-          <leafValues>
-            -1.4588220417499542e-01 1.5166099369525909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 723 2.4739510845392942e-03</internalNodes>
-          <leafValues>
-            -1.8805119395256042e-01 9.5694698393344879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 724 5.1760678179562092e-03</internalNodes>
-          <leafValues>
-            5.2032090723514557e-02 -4.9382910132408142e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 725 7.1702478453516960e-03</internalNodes>
-          <leafValues>
-            -9.4142921268939972e-02 1.1217010021209717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 726 -2.0057760179042816e-02</internalNodes>
-          <leafValues>
-            -5.9458369016647339e-01 3.6551840603351593e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 727 -2.0991469919681549e-01</internalNodes>
-          <leafValues>
-            2.6298180222511292e-01 -1.0240700095891953e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 728 -4.2166719213128090e-03</internalNodes>
-          <leafValues>
-            1.3226920366287231e-01 -1.5037320554256439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 729 -1.4944000169634819e-02</internalNodes>
-          <leafValues>
-            6.5007939934730530e-02 -3.1482189893722534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 730 9.1618977487087250e-02</internalNodes>
-          <leafValues>
-            1.1459749937057495e-01 -2.1580819785594940e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 731 1.3998460490256548e-03</internalNodes>
-          <leafValues>
-            -1.5135070681571960e-01 1.3515089452266693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 732 6.2787801027297974e-02</internalNodes>
-          <leafValues>
-            -1.0663919895887375e-01 2.0777790248394012e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 733 1.6034470498561859e-01</internalNodes>
-          <leafValues>
-            -6.7444883286952972e-02 3.0661910772323608e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 734 -1.0080800391733646e-02</internalNodes>
-          <leafValues>
-            2.2366729378700256e-01 -8.8719040155410767e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 735 2.1805059164762497e-02</internalNodes>
-          <leafValues>
-            -5.5670421570539474e-02 1.3599489629268646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 736 -6.2400531023740768e-02</internalNodes>
-          <leafValues>
-            -4.4345939159393311e-01 3.1536590307950974e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 737 -3.3827558159828186e-02</internalNodes>
-          <leafValues>
-            2.5352260470390320e-01 -1.4237060211598873e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 738 2.4944260716438293e-02</internalNodes>
-          <leafValues>
-            -5.6528169661760330e-02 2.6071038842201233e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 739 2.8674729168415070e-02</internalNodes>
-          <leafValues>
-            -2.9934270307421684e-02 3.9638450741767883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 740 9.0782970190048218e-02</internalNodes>
-          <leafValues>
-            4.7861438244581223e-02 -3.9084589481353760e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 741 -9.8480619490146637e-03</internalNodes>
-          <leafValues>
-            -5.3130447864532471e-01 1.5104659833014011e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 742 7.7331489883363247e-03</internalNodes>
-          <leafValues>
-            2.4212060496211052e-02 -5.6011068820953369e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 743 9.7148418426513672e-03</internalNodes>
-          <leafValues>
-            -7.7339023351669312e-02 2.0035690069198608e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 744 -3.8716041017323732e-03</internalNodes>
-          <leafValues>
-            9.3583829700946808e-02 -1.6308769583702087e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 745 4.5740120112895966e-03</internalNodes>
-          <leafValues>
-            -7.4100360274314880e-02 1.8673260509967804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 746 3.5367589443922043e-03</internalNodes>
-          <leafValues>
-            -1.3378569483757019e-01 1.3118870556354523e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 747 6.7387451417744160e-03</internalNodes>
-          <leafValues>
-            1.9104549661278725e-02 -2.6714089512825012e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 748 9.2638395726680756e-03</internalNodes>
-          <leafValues>
-            3.8944028317928314e-02 -3.8115268945693970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 749 1.8035650253295898e-02</internalNodes>
-          <leafValues>
-            -5.6313838809728622e-02 2.6199018955230713e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 750 6.1390590853989124e-03</internalNodes>
-          <leafValues>
-            6.6768251359462738e-02 -2.4741740524768829e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 751 -2.0742289721965790e-02</internalNodes>
-          <leafValues>
-            1.5816679596900940e-01 -3.7055108696222305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 752 7.1745091117918491e-03</internalNodes>
-          <leafValues>
-            -6.2723852694034576e-02 2.4000909924507141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 753 -1.3980129733681679e-02</internalNodes>
-          <leafValues>
-            -2.5686889886856079e-01 2.4408269673585892e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 754 5.0162561237812042e-03</internalNodes>
-          <leafValues>
-            3.4693509340286255e-02 -3.6940971016883850e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 755 6.2731141224503517e-03</internalNodes>
-          <leafValues>
-            -9.3136273324489594e-02 8.9128710329532623e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 756 -6.1432798393070698e-03</internalNodes>
-          <leafValues>
-            -3.8624298572540283e-01 3.2790008932352066e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 757 -5.4340949282050133e-03</internalNodes>
-          <leafValues>
-            1.2529590725898743e-01 -7.3308877646923065e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 758 2.6476379483938217e-02</internalNodes>
-          <leafValues>
-            1.9692519679665565e-02 -6.5207397937774658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 759 5.3198561072349548e-02</internalNodes>
-          <leafValues>
-            -3.8907509297132492e-02 3.4459230303764343e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 760 6.8159057991579175e-04</internalNodes>
-          <leafValues>
-            -1.4296619594097137e-01 1.1051479727029800e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 761 2.7321189641952515e-02</internalNodes>
-          <leafValues>
-            -2.3013580590486526e-02 3.8668289780616760e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 762 1.6437519341707230e-02</internalNodes>
-          <leafValues>
-            -5.0356149673461914e-02 2.5431129336357117e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 763 -1.1353069916367531e-02</internalNodes>
-          <leafValues>
-            -3.8533338904380798e-01 2.3351570591330528e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 764 -5.6346738710999489e-03</internalNodes>
-          <leafValues>
-            1.8512620031833649e-01 -7.8567862510681152e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 765 6.9470210000872612e-03</internalNodes>
-          <leafValues>
-            3.6982610821723938e-02 -1.7629860341548920e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 766 -1.6561519354581833e-02</internalNodes>
-          <leafValues>
-            -4.9848580360412598e-01 2.8883419930934906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 767 -7.6849356293678284e-02</internalNodes>
-          <leafValues>
-            -3.1578719615936279e-01 4.3519400060176849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 768 -1.5181129798293114e-02</internalNodes>
-          <leafValues>
-            2.3423460125923157e-01 -6.2591478228569031e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 769 1.9489860162138939e-02</internalNodes>
-          <leafValues>
-            9.9025378003716469e-03 -3.8761860132217407e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 770 1.8050599843263626e-02</internalNodes>
-          <leafValues>
-            -4.3930709362030029e-02 3.3341428637504578e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 771 -2.9345480725169182e-03</internalNodes>
-          <leafValues>
-            8.0954536795616150e-02 -4.9914769828319550e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 772 2.6363410055637360e-02</internalNodes>
-          <leafValues>
-            2.9126759618520737e-02 -5.0750941038131714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 773 2.4248650297522545e-03</internalNodes>
-          <leafValues>
-            3.4961428493261337e-02 -2.8733271360397339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 774 4.9459808506071568e-03</internalNodes>
-          <leafValues>
-            2.3161210119724274e-02 -5.0714761018753052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 775 -1.5279249846935272e-01</internalNodes>
-          <leafValues>
-            -3.2881578803062439e-01 2.5182789191603661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 776 -1.4403219392988831e-04</internalNodes>
-          <leafValues>
-            7.5519256293773651e-02 -1.8179009854793549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 777 2.8954431414604187e-01</internalNodes>
-          <leafValues>
-            1.1204889975488186e-02 -3.8397979736328125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 778 -4.8776458948850632e-02</internalNodes>
-          <leafValues>
-            -3.8399431109428406e-01 3.3249679952859879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 779 -3.2626438885927200e-02</internalNodes>
-          <leafValues>
-            3.1781470775604248e-01 -4.7008451074361801e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 780 7.5620561838150024e-03</internalNodes>
-          <leafValues>
-            -1.6391299664974213e-01 8.8394619524478912e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 781 5.5116498842835426e-03</internalNodes>
-          <leafValues>
-            -4.5366939157247543e-02 1.0359580069780350e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 782 7.8960359096527100e-03</internalNodes>
-          <leafValues>
-            2.5835210457444191e-02 -4.1176858544349670e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 783 2.5515830144286156e-02</internalNodes>
-          <leafValues>
-            2.3357940837740898e-02 -1.0157670080661774e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 784 2.7663391083478928e-03</internalNodes>
-          <leafValues>
-            -8.3083488047122955e-02 1.4612929522991180e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 785 -3.0674580484628677e-03</internalNodes>
-          <leafValues>
-            9.2135928571224213e-02 -5.7146791368722916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 786 9.2945564538240433e-03</internalNodes>
-          <leafValues>
-            3.8736391812562943e-02 -3.5326778888702393e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 787 6.7423127591609955e-02</internalNodes>
-          <leafValues>
-            -7.5241766870021820e-02 1.7596650123596191e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 788 -4.4064600951969624e-03</internalNodes>
-          <leafValues>
-            9.7793661057949066e-02 -1.5189309418201447e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 789 -4.9828600138425827e-02</internalNodes>
-          <leafValues>
-            -4.5790219306945801e-01 6.8976799957454205e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 790 3.6543350666761398e-02</internalNodes>
-          <leafValues>
-            5.1439449191093445e-02 -2.6903149485588074e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 791 -6.4155302941799164e-02</internalNodes>
-          <leafValues>
-            -3.7688180804252625e-02 3.5685088485479355e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 792 1.6559410141780972e-03</internalNodes>
-          <leafValues>
-            -7.8454039990901947e-02 1.4457669854164124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 793 -4.3586108833551407e-02</internalNodes>
-          <leafValues>
-            -6.8510597944259644e-01 1.3048769906163216e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 794 -2.2230669856071472e-01</internalNodes>
-          <leafValues>
-            -5.7761538028717041e-01 1.7124939709901810e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 795 2.4673160165548325e-02</internalNodes>
-          <leafValues>
-            1.1898159980773926e-02 -4.0522110462188721e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 796 -1.1929229833185673e-02</internalNodes>
-          <leafValues>
-            3.3518779277801514e-01 -3.3670309931039810e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 797 1.2319719826336950e-04</internalNodes>
-          <leafValues>
-            -8.5718862712383270e-02 8.3713091909885406e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 798 -9.3408823013305664e-03</internalNodes>
-          <leafValues>
-            -2.8543150424957275e-01 4.0737889707088470e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 799 -7.4626510031521320e-03</internalNodes>
-          <leafValues>
-            1.1191319674253464e-01 -3.4012328833341599e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 800 -1.3723709620535374e-02</internalNodes>
-          <leafValues>
-            2.4986229836940765e-01 -4.5033760368824005e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 801 1.5219870209693909e-01</internalNodes>
-          <leafValues>
-            -9.1021090745925903e-02 9.0961046516895294e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 802 7.7259603131096810e-05</internalNodes>
-          <leafValues>
-            -1.0590860247612000e-01 1.1055749654769897e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 803 4.9416758120059967e-03</internalNodes>
-          <leafValues>
-            2.4189069867134094e-02 -3.0954331159591675e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 804 -8.4537155926227570e-03</internalNodes>
-          <leafValues>
-            -4.9883198738098145e-01 1.9790159538388252e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 805 -1.5807019372005016e-04</internalNodes>
-          <leafValues>
-            8.1088282167911530e-02 -9.6961513161659241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 806 -3.7125058472156525e-02</internalNodes>
-          <leafValues>
-            -6.6581451892852783e-01 1.4882969669997692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 807 2.6830319315195084e-02</internalNodes>
-          <leafValues>
-            -1.4309049583971500e-02 1.8943400681018829e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 808 -5.0245620310306549e-02</internalNodes>
-          <leafValues>
-            2.9321768879890442e-01 -3.4267731010913849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 809 -6.9950302131474018e-03</internalNodes>
-          <leafValues>
-            -3.6339738965034485e-01 2.4558270350098610e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 810 6.5877571702003479e-02</internalNodes>
-          <leafValues>
-            -6.9623842835426331e-02 1.6893179714679718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 811 -1.3468010351061821e-02</internalNodes>
-          <leafValues>
-            -5.7445019483566284e-01 7.6498151756823063e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 812 6.5795979462563992e-03</internalNodes>
-          <leafValues>
-            4.6871460974216461e-02 -2.6042988896369934e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 813 8.3702273666858673e-02</internalNodes>
-          <leafValues>
-            -2.6280758902430534e-03 9.5396530628204346e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 814 -2.6914669200778008e-02</internalNodes>
-          <leafValues>
-            4.3413200974464417e-01 -2.5187220424413681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 815 6.8170771002769470e-02</internalNodes>
-          <leafValues>
-            1.1355379596352577e-02 -1.9769650697708130e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 816 -1.8386699259281158e-02</internalNodes>
-          <leafValues>
-            -3.0161228775978088e-01 4.0068160742521286e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 817 -4.8888311721384525e-03</internalNodes>
-          <leafValues>
-            -4.7499518841505051e-02 2.7949759736657143e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 818 1.2031979858875275e-02</internalNodes>
-          <leafValues>
-            -4.1758809238672256e-02 2.5678071379661560e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 819 4.5282568782567978e-02</internalNodes>
-          <leafValues>
-            -1.2090729549527168e-02 5.9624272584915161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 820 1.6428649425506592e-02</internalNodes>
-          <leafValues>
-            3.1723149120807648e-02 -3.4151419997215271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 821 1.5807289630174637e-02</internalNodes>
-          <leafValues>
-            -8.7692633271217346e-02 7.3399387300014496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 822 7.3865547776222229e-02</internalNodes>
-          <leafValues>
-            1.7566639930009842e-02 -5.8591890335083008e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 823 8.1742003560066223e-02</internalNodes>
-          <leafValues>
-            -1.4694429934024811e-02 3.8172268867492676e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 824 1.6201290418393910e-04</internalNodes>
-          <leafValues>
-            -1.0157629847526550e-01 1.0071060061454773e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 825 9.6514606848359108e-03</internalNodes>
-          <leafValues>
-            -3.9196711033582687e-02 1.5712510049343109e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 826 1.1394619941711426e-01</internalNodes>
-          <leafValues>
-            2.1624019369482994e-02 -4.9949270486831665e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 827 -3.1548771075904369e-03</internalNodes>
-          <leafValues>
-            5.0318129360675812e-02 -4.3619360774755478e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 828 -4.4351350516080856e-02</internalNodes>
-          <leafValues>
-            3.0843031406402588e-01 -3.2389428466558456e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 829 5.9337329119443893e-02</internalNodes>
-          <leafValues>
-            8.8634816929697990e-03 -4.3402770161628723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 830 8.4961997345089912e-03</internalNodes>
-          <leafValues>
-            -1.6435340046882629e-01 7.2020038962364197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 831 1.2611909769475460e-02</internalNodes>
-          <leafValues>
-            -5.4733909666538239e-02 2.6740849018096924e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 832 1.0056140273809433e-01</internalNodes>
-          <leafValues>
-            9.6470691263675690e-02 -1.2373570352792740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 833 2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            -6.5468028187751770e-02 7.5764216482639313e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 834 1.7325380817055702e-02</internalNodes>
-          <leafValues>
-            4.9385469406843185e-02 -2.0938959717750549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 835 -8.1096980720758438e-03</internalNodes>
-          <leafValues>
-            -2.3129729926586151e-01 1.3806460425257683e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 836 7.0394109934568405e-03</internalNodes>
-          <leafValues>
-            -4.8593230545520782e-02 2.1045120060443878e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 837 -1.0678370017558336e-03</internalNodes>
-          <leafValues>
-            9.8571203649044037e-02 -4.5679539442062378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 838 7.9888887703418732e-03</internalNodes>
-          <leafValues>
-            2.2722730413079262e-02 -4.7305500507354736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 839 -2.8562550432980061e-03</internalNodes>
-          <leafValues>
-            -1.2667450308799744e-01 2.6346899569034576e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 840 -2.8239099308848381e-02</internalNodes>
-          <leafValues>
-            -4.8173430562019348e-01 2.0280279219150543e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 841 -3.5814680159091949e-03</internalNodes>
-          <leafValues>
-            1.3375559449195862e-01 -7.5176857411861420e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 842 -1.4436709880828857e-01</internalNodes>
-          <leafValues>
-            -3.1298300623893738e-01 3.8588508963584900e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 843 1.2504559755325317e-01</internalNodes>
-          <leafValues>
-            6.5982979722321033e-03 -8.1579452753067017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 844 -1.3011660426855087e-02</internalNodes>
-          <leafValues>
-            1.2922100722789764e-01 -7.9708762466907501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 845 -1.7209460493177176e-03</internalNodes>
-          <leafValues>
-            1.8410180509090424e-01 -3.8158390671014786e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 846 8.2962076703552157e-05</internalNodes>
-          <leafValues>
-            -8.0844506621360779e-02 1.2401849776506424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 847 6.5386621281504631e-03</internalNodes>
-          <leafValues>
-            2.5721050798892975e-02 -3.4728491306304932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 848 -7.6022120192646980e-03</internalNodes>
-          <leafValues>
-            -1.3279519975185394e-01 6.9503903388977051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 849 -1.2741329555865377e-04</internalNodes>
-          <leafValues>
-            7.3461078107357025e-02 -5.6750301271677017e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 850 -8.7483227252960205e-03</internalNodes>
-          <leafValues>
-            -3.8747811317443848e-01 2.5242859497666359e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 851 1.8606209778226912e-04</internalNodes>
-          <leafValues>
-            -8.0794073641300201e-02 1.1124949902296066e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 852 -2.3457060160581023e-04</internalNodes>
-          <leafValues>
-            1.3575780391693115e-01 -8.0513857305049896e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 853 1.7333909636363387e-03</internalNodes>
-          <leafValues>
-            -4.0824349969625473e-02 7.0485733449459076e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 854 2.5763779412955046e-03</internalNodes>
-          <leafValues>
-            -1.0582429915666580e-01 8.8251203298568726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 855 3.1439519952982664e-03</internalNodes>
-          <leafValues>
-            2.2850390523672104e-02 -2.2878000140190125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 856 -6.6810711286962032e-03</internalNodes>
-          <leafValues>
-            -5.5194759368896484e-01 1.6644019633531570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 857 -1.0215619578957558e-02</internalNodes>
-          <leafValues>
-            1.1516509950160980e-01 -3.0920639634132385e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 858 6.8375351838767529e-03</internalNodes>
-          <leafValues>
-            3.5597868263721466e-02 -2.5795739889144897e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 859 3.1667288858443499e-03</internalNodes>
-          <leafValues>
-            -1.1311589926481247e-01 5.9377081692218781e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 860 1.7846110463142395e-01</internalNodes>
-          <leafValues>
-            -9.1090977191925049e-02 1.0215540230274200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 861 -2.3922319523990154e-03</internalNodes>
-          <leafValues>
-            1.0548549890518188e-01 -4.0941018611192703e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 862 8.2479801494628191e-04</internalNodes>
-          <leafValues>
-            -9.2547960579395294e-02 1.0704030096530914e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 863 -2.3213559761643410e-03</internalNodes>
-          <leafValues>
-            4.7483701258897781e-02 -4.4801708310842514e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 864 9.9881906062364578e-03</internalNodes>
-          <leafValues>
-            -5.3101241588592529e-02 1.8933349847793579e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 865 7.2582447901368141e-03</internalNodes>
-          <leafValues>
-            1.5470819547772408e-02 -1.6273790597915649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 866 -1.2209150195121765e-01</internalNodes>
-          <leafValues>
-            -6.5882581472396851e-01 1.4432240277528763e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 867 4.2930290102958679e-02</internalNodes>
-          <leafValues>
-            -8.9507391676306725e-03 7.0037537813186646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 868 -1.4183740131556988e-02</internalNodes>
-          <leafValues>
-            2.8738090395927429e-01 -3.2423838973045349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 869 6.5566753619350493e-05</internalNodes>
-          <leafValues>
-            -6.0012109577655792e-02 7.2343066334724426e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 870 -9.1673799033742398e-05</internalNodes>
-          <leafValues>
-            1.2412530183792114e-01 -8.8637173175811768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 871 1.0451570153236389e-02</internalNodes>
-          <leafValues>
-            1.9897699356079102e-02 -5.4859578609466553e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 872 7.1406508795917034e-03</internalNodes>
-          <leafValues>
-            2.1871440112590790e-02 -3.9959570765495300e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>166</maxWeakCount>
-      <stageThreshold>-1.3140599727630615e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 873 -7.9002313315868378e-02</internalNodes>
-          <leafValues>
-            3.2428950071334839e-01 -2.5313940644264221e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 874 2.2337300702929497e-02</internalNodes>
-          <leafValues>
-            -9.4131506979465485e-02 1.3784369826316833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 875 -6.6611483693122864e-02</internalNodes>
-          <leafValues>
-            1.7535580694675446e-01 -2.6326939463615417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 876 1.8115570768713951e-02</internalNodes>
-          <leafValues>
-            1.0016679763793945e-01 -2.5084051489830017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 877 4.2208299040794373e-02</internalNodes>
-          <leafValues>
-            -4.6460118144750595e-02 5.0753402709960938e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 878 2.1947380155324936e-02</internalNodes>
-          <leafValues>
-            -3.5192631185054779e-02 2.9413568973541260e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 879 3.9068479090929031e-02</internalNodes>
-          <leafValues>
-            3.4318011254072189e-02 -5.9637278318405151e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 880 -1.7158839851617813e-02</internalNodes>
-          <leafValues>
-            2.2071230411529541e-01 -6.2802940607070923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 881 -5.5410808272426948e-05</internalNodes>
-          <leafValues>
-            1.9250670075416565e-01 -9.7911693155765533e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 882 5.7713039219379425e-02</internalNodes>
-          <leafValues>
-            -1.7752349376678467e-02 3.9690899848937988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 883 -2.7670299634337425e-02</internalNodes>
-          <leafValues>
-            2.7309200167655945e-01 -6.9922827184200287e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 884 4.1078277863562107e-03</internalNodes>
-          <leafValues>
-            -4.9098778516054153e-02 2.4907429516315460e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 885 4.8231639084406197e-05</internalNodes>
-          <leafValues>
-            -1.2422840297222137e-01 1.7488770186901093e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 886 5.4101468995213509e-03</internalNodes>
-          <leafValues>
-            -1.1635100096464157e-01 1.1202619969844818e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 887 1.2156780064105988e-01</internalNodes>
-          <leafValues>
-            3.5816799849271774e-02 -4.2390239238739014e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 888 -4.5798659324645996e-02</internalNodes>
-          <leafValues>
-            -3.9612388610839844e-01 2.6914669200778008e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 889 -4.3434510007500648e-03</internalNodes>
-          <leafValues>
-            1.5174229443073273e-01 -1.5247189998626709e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 890 5.4885639110580087e-04</internalNodes>
-          <leafValues>
-            -1.0398910194635391e-01 1.0211019963026047e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 891 2.4605579674243927e-03</internalNodes>
-          <leafValues>
-            -9.2063240706920624e-02 2.0085799694061279e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 892 -2.0400179550051689e-02</internalNodes>
-          <leafValues>
-            3.9317831397056580e-01 5.8226548135280609e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 893 2.3037819482851774e-04</internalNodes>
-          <leafValues>
-            -1.5047320723533630e-01 1.0606130212545395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 894 -4.2928410694003105e-03</internalNodes>
-          <leafValues>
-            7.2660259902477264e-02 -7.9356543719768524e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 895 1.8637800216674805e-01</internalNodes>
-          <leafValues>
-            -1.1249560117721558e-01 1.5694859623908997e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 896 -2.6433460414409637e-02</internalNodes>
-          <leafValues>
-            -3.9095601439476013e-01 4.9486149102449417e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 897 -2.4137930572032928e-01</internalNodes>
-          <leafValues>
-            -6.7887061834335327e-01 1.8050249665975571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 898 3.0466640368103981e-02</internalNodes>
-          <leafValues>
-            2.7202309574931860e-03 -6.3896268606185913e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 899 2.7874959632754326e-03</internalNodes>
-          <leafValues>
-            -8.3127573132514954e-02 1.7751370370388031e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 900 1.2827770411968231e-01</internalNodes>
-          <leafValues>
-            -9.3625776469707489e-02 1.6796620190143585e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 901 -3.7217219360172749e-03</internalNodes>
-          <leafValues>
-            1.6798649728298187e-01 -1.0740660130977631e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 902 2.5106329470872879e-02</internalNodes>
-          <leafValues>
-            1.7044939100742340e-02 -4.9812939763069153e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 903 8.5740294307470322e-03</internalNodes>
-          <leafValues>
-            3.8930539041757584e-02 -3.3503991365432739e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 904 -1.6299229115247726e-02</internalNodes>
-          <leafValues>
-            -1.7728500068187714e-01 5.9367809444665909e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 905 1.3755589723587036e-02</internalNodes>
-          <leafValues>
-            4.9292150884866714e-02 -2.9905700683593750e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 906 1.0170560330152512e-02</internalNodes>
-          <leafValues>
-            1.2569320388138294e-02 -3.2717370986938477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 907 -1.1838880181312561e-01</internalNodes>
-          <leafValues>
-            -3.0642750859260559e-01 4.0406189858913422e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 908 2.8778460621833801e-01</internalNodes>
-          <leafValues>
-            8.6266417056322098e-03 -5.8403861522674561e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 909 -1.0709369555115700e-02</internalNodes>
-          <leafValues>
-            -4.5812180638313293e-01 2.6710700243711472e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 910 -1.6836540773510933e-02</internalNodes>
-          <leafValues>
-            -4.8346018791198730e-01 1.4101839624345303e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 911 -2.6871969923377037e-02</internalNodes>
-          <leafValues>
-            3.0236101150512695e-01 -4.0173869580030441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 912 2.0822209771722555e-03</internalNodes>
-          <leafValues>
-            2.6397850364446640e-02 -7.1128167212009430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 913 1.8307130038738251e-01</internalNodes>
-          <leafValues>
-            3.1573470681905746e-02 -4.3112158775329590e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 914 -5.3969710133969784e-03</internalNodes>
-          <leafValues>
-            -9.9910236895084381e-02 1.3491000048816204e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 915 6.5924688242375851e-03</internalNodes>
-          <leafValues>
-            3.4465100616216660e-02 -4.0542820096015930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 916 7.6914830133318901e-03</internalNodes>
-          <leafValues>
-            -3.9300210773944855e-02 1.6817179322242737e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 917 -1.3487709686160088e-02</internalNodes>
-          <leafValues>
-            3.1880301237106323e-01 -3.8503371179103851e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 918 -1.3206779956817627e-02</internalNodes>
-          <leafValues>
-            1.1506190150976181e-01 -2.6123069226741791e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 919 9.5766428858041763e-03</internalNodes>
-          <leafValues>
-            -5.6236121803522110e-02 2.2048389911651611e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 920 3.0655260197818279e-03</internalNodes>
-          <leafValues>
-            -8.0174110829830170e-02 1.0322000086307526e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 921 8.6779087723698467e-05</internalNodes>
-          <leafValues>
-            -1.7224429547786713e-01 6.9087728857994080e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 922 9.6185833215713501e-02</internalNodes>
-          <leafValues>
-            1.5162150375545025e-03 -5.5438750982284546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 923 3.8120381534099579e-02</internalNodes>
-          <leafValues>
-            5.1593549549579620e-02 -2.6273688673973083e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 924 5.0568342208862305e-01</internalNodes>
-          <leafValues>
-            1.0466909967362881e-02 -5.1577657461166382e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 925 -1.2192579917609692e-02</internalNodes>
-          <leafValues>
-            3.0584090948104858e-01 -4.0013160556554794e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 926 1.2820640206336975e-01</internalNodes>
-          <leafValues>
-            2.2402040660381317e-02 -2.7763271331787109e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 927 1.2943449616432190e-01</internalNodes>
-          <leafValues>
-            -6.1534829437732697e-02 2.1345520019531250e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 928 -7.5714521110057831e-02</internalNodes>
-          <leafValues>
-            1.5290339291095734e-01 -1.1667010188102722e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 929 -5.3732179367216304e-05</internalNodes>
-          <leafValues>
-            1.2800370156764984e-01 -9.7825959324836731e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 930 7.5803599320352077e-03</internalNodes>
-          <leafValues>
-            -9.7915172576904297e-02 1.2620359659194946e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 931 6.8636022508144379e-02</internalNodes>
-          <leafValues>
-            4.0432218462228775e-02 -3.1329730153083801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 932 1.1460750363767147e-02</internalNodes>
-          <leafValues>
-            2.5361500680446625e-02 -4.8540189862251282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 933 2.6128649551537819e-05</internalNodes>
-          <leafValues>
-            -1.0432030260562897e-01 1.1333329975605011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 934 8.4630657511297613e-05</internalNodes>
-          <leafValues>
-            -1.0487859696149826e-01 1.2740099430084229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 935 -2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            1.5114049613475800e-01 -1.0252150148153305e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 936 1.1611119844019413e-02</internalNodes>
-          <leafValues>
-            1.4886969700455666e-02 -2.8674951195716858e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 937 1.2420720420777798e-02</internalNodes>
-          <leafValues>
-            -6.2066860496997833e-02 1.7772339284420013e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 938 2.3426260799169540e-02</internalNodes>
-          <leafValues>
-            -8.4759250283241272e-02 1.4415900409221649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 939 1.4368200302124023e-01</internalNodes>
-          <leafValues>
-            2.5768509134650230e-02 -4.9598070979118347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 940 -3.6740589421242476e-03</internalNodes>
-          <leafValues>
-            -3.4700030088424683e-01 1.2800060212612152e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 941 5.1495590014383197e-05</internalNodes>
-          <leafValues>
-            -1.0679510235786438e-01 9.9959939718246460e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 942 9.9259437993168831e-03</internalNodes>
-          <leafValues>
-            3.2620970159769058e-02 -3.5369759798049927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 943 -5.1487040764186531e-05</internalNodes>
-          <leafValues>
-            1.2531200051307678e-01 -9.5278233289718628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 944 2.7326600626111031e-02</internalNodes>
-          <leafValues>
-            -8.9491289108991623e-03 6.4724721014499664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 945 2.2325750440359116e-02</internalNodes>
-          <leafValues>
-            1.4013900421559811e-02 -7.4047172069549561e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 946 4.0280960500240326e-02</internalNodes>
-          <leafValues>
-            1.0004050564020872e-03 -1.1777099967002869e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 947 2.1893329918384552e-02</internalNodes>
-          <leafValues>
-            -5.0884321331977844e-02 2.2789579629898071e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 948 -7.1642571128904819e-03</internalNodes>
-          <leafValues>
-            1.2857060134410858e-01 -5.3552430123090744e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 949 -8.0841138958930969e-02</internalNodes>
-          <leafValues>
-            2.0653660595417023e-01 -6.6617228090763092e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 950 5.1331298891454935e-04</internalNodes>
-          <leafValues>
-            -5.4442800581455231e-02 1.4963160455226898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 951 8.6274370551109314e-03</internalNodes>
-          <leafValues>
-            3.0817959457635880e-02 -3.6723139882087708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 952 -8.7373692076653242e-04</internalNodes>
-          <leafValues>
-            1.3902780413627625e-01 -6.3252650201320648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 953 -1.1720039881765842e-02</internalNodes>
-          <leafValues>
-            -4.7670018672943115e-01 2.4412320926785469e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 954 4.8860989511013031e-02</internalNodes>
-          <leafValues>
-            1.0085090063512325e-02 -4.6592590212821960e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 955 1.8693100661039352e-02</internalNodes>
-          <leafValues>
-            -7.1992039680480957e-02 1.7693880200386047e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 956 -5.3908649832010269e-02</internalNodes>
-          <leafValues>
-            1.4675259590148926e-01 -9.0455517172813416e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 957 8.3356387913227081e-03</internalNodes>
-          <leafValues>
-            2.2398740053176880e-02 -4.9412518739700317e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 958 2.7100899387733079e-05</internalNodes>
-          <leafValues>
-            -5.3562410175800323e-02 7.7102899551391602e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 959 4.9839400162454695e-05</internalNodes>
-          <leafValues>
-            -8.7917067110538483e-02 1.2769749760627747e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 960 -2.5873789127217606e-05</internalNodes>
-          <leafValues>
-            8.6240112781524658e-02 -9.1946959495544434e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 961 -4.5616321585839614e-05</internalNodes>
-          <leafValues>
-            1.0863859951496124e-01 -9.9706746637821198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 962 3.4546090755611658e-03</internalNodes>
-          <leafValues>
-            3.3691279590129852e-02 -2.5994610786437988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 963 -3.0438970774412155e-02</internalNodes>
-          <leafValues>
-            3.6962929368019104e-01 -2.9208270832896233e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 964 4.3956300616264343e-01</internalNodes>
-          <leafValues>
-            -2.3035079240798950e-02 4.4141438603401184e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 965 5.8688350691227242e-05</internalNodes>
-          <leafValues>
-            -1.0969989746809006e-01 9.8768897354602814e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 966 8.4090819582343102e-03</internalNodes>
-          <leafValues>
-            -4.9145638942718506e-02 1.7818750441074371e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 967 -1.4912109822034836e-02</internalNodes>
-          <leafValues>
-            -4.2131778597831726e-01 2.6400730013847351e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 968 -2.0906489342451096e-02</internalNodes>
-          <leafValues>
-            -2.9467320442199707e-01 1.5055189840495586e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 969 5.3503939852816984e-05</internalNodes>
-          <leafValues>
-            -8.0975167453289032e-02 1.2568619847297668e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 970 -1.0656829690560699e-03</internalNodes>
-          <leafValues>
-            5.3799871355295181e-02 -1.4916649460792542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 971 1.4879689551889896e-02</internalNodes>
-          <leafValues>
-            2.0114380866289139e-02 -4.7147929668426514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 972 1.8449500203132629e-02</internalNodes>
-          <leafValues>
-            1.6212660819292068e-02 -2.6070928573608398e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 973 1.1283960193395615e-03</internalNodes>
-          <leafValues>
-            -6.1842311173677444e-02 1.5736180543899536e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 974 4.1768390685319901e-02</internalNodes>
-          <leafValues>
-            4.5171868987381458e-03 -5.2301770448684692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 975 -4.6589840203523636e-03</internalNodes>
-          <leafValues>
-            -2.4603700637817383e-01 3.8989998400211334e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 976 1.2120570056140423e-02</internalNodes>
-          <leafValues>
-            1.2968990020453930e-02 -6.7711579799652100e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 977 5.1322788931429386e-03</internalNodes>
-          <leafValues>
-            1.5230550430715084e-02 -5.5883342027664185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 978 8.5264481604099274e-02</internalNodes>
-          <leafValues>
-            1.7884389963001013e-03 -5.7048821449279785e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 979 2.7729919180274010e-02</internalNodes>
-          <leafValues>
-            -3.7531539797782898e-02 3.1022569537162781e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 980 4.1674780659377575e-03</internalNodes>
-          <leafValues>
-            -9.5324076712131500e-02 9.6109919250011444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 981 -3.5056591033935547e-02</internalNodes>
-          <leafValues>
-            -3.7690278887748718e-01 2.4474700912833214e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 982 1.7184760421514511e-02</internalNodes>
-          <leafValues>
-            -7.0347599685192108e-03 4.8588299751281738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 983 3.7842839956283569e-03</internalNodes>
-          <leafValues>
-            4.3908059597015381e-02 -2.5237309932708740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 984 8.2066917419433594e-01</internalNodes>
-          <leafValues>
-            1.5171869657933712e-02 -5.3948462009429932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 985 1.0091160424053669e-02</internalNodes>
-          <leafValues>
-            -9.6920862793922424e-02 1.1189579963684082e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 986 -1.6029510647058487e-02</internalNodes>
-          <leafValues>
-            -2.3441310226917267e-01 2.3455519229173660e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 987 1.0849679820239544e-02</internalNodes>
-          <leafValues>
-            4.4147640466690063e-02 -2.6963528990745544e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 988 1.3045299798250198e-02</internalNodes>
-          <leafValues>
-            2.2153200116008520e-03 -7.9784917831420898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 989 1.1236639693379402e-02</internalNodes>
-          <leafValues>
-            -4.3046820908784866e-02 2.4014919996261597e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 990 -7.7543058432638645e-03</internalNodes>
-          <leafValues>
-            -3.5501450300216675e-01 1.1025140061974525e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 991 3.3010800834745169e-03</internalNodes>
-          <leafValues>
-            3.0340820550918579e-02 -3.7136289477348328e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 992 6.5340842120349407e-03</internalNodes>
-          <leafValues>
-            -8.5805252194404602e-02 9.1638848185539246e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 993 -4.7619681805372238e-02</internalNodes>
-          <leafValues>
-            4.0863269567489624e-01 -2.6420159265398979e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 994 6.8403937621042132e-04</internalNodes>
-          <leafValues>
-            -3.2312858849763870e-02 8.8080801069736481e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 995 -7.6149452070239931e-05</internalNodes>
-          <leafValues>
-            1.1525599658489227e-01 -8.9074932038784027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 996 2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            -6.0994371771812439e-02 8.1846691668033600e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 997 -8.2685357483569533e-05</internalNodes>
-          <leafValues>
-            1.1239729821681976e-01 -8.7840661406517029e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 998 -5.1181959861423820e-05</internalNodes>
-          <leafValues>
-            1.2418139725923538e-01 -9.6157982945442200e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 999 -8.0426130443811417e-03</internalNodes>
-          <leafValues>
-            -4.0603759884834290e-01 2.5093160569667816e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1000 2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            -7.3493182659149170e-02 9.0214557945728302e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1001 5.0119768275180832e-05</internalNodes>
-          <leafValues>
-            -8.2994453608989716e-02 1.1394649744033813e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1002 -9.5925288042053580e-04</internalNodes>
-          <leafValues>
-            -7.1206063032150269e-02 4.2806431651115417e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1003 2.0211040973663330e-03</internalNodes>
-          <leafValues>
-            2.5516960769891739e-02 -3.5512170195579529e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1004 1.2242579832673073e-02</internalNodes>
-          <leafValues>
-            1.8769890069961548e-02 -1.9807919859886169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1005 -1.4281050302088261e-02</internalNodes>
-          <leafValues>
-            1.9607509672641754e-01 -5.0247050821781158e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1006 4.0956941246986389e-01</internalNodes>
-          <leafValues>
-            1.3107390142977238e-02 -7.2472369670867920e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1007 2.6600460842018947e-05</internalNodes>
-          <leafValues>
-            -8.7076403200626373e-02 1.1106210201978683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1008 -1.1234419653192163e-03</internalNodes>
-          <leafValues>
-            7.7456079423427582e-02 -1.3284559547901154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1009 5.6427060626447201e-03</internalNodes>
-          <leafValues>
-            4.8446040600538254e-02 -2.1871030330657959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1010 -1.3591510243713856e-02</internalNodes>
-          <leafValues>
-            8.2535639405250549e-02 -2.2708360105752945e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1011 1.1591419577598572e-02</internalNodes>
-          <leafValues>
-            -4.8790689557790756e-02 1.9490590691566467e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1012 -1.2608569860458374e-01</internalNodes>
-          <leafValues>
-            4.1815188527107239e-01 -9.5796259120106697e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1013 2.6331260800361633e-02</internalNodes>
-          <leafValues>
-            1.6726149246096611e-02 -5.7491612434387207e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1014 4.1054669767618179e-02</internalNodes>
-          <leafValues>
-            -1.0885179974138737e-02 3.4100100398063660e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1015 7.1040436625480652e-02</internalNodes>
-          <leafValues>
-            -1.3916869647800922e-02 6.0548651218414307e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1016 -1.6813749447464943e-02</internalNodes>
-          <leafValues>
-            -4.1529890894889832e-01 2.3168940097093582e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1017 -1.6978330910205841e-02</internalNodes>
-          <leafValues>
-            2.2032840549945831e-01 -3.9898801594972610e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1018 -9.5234332547988743e-05</internalNodes>
-          <leafValues>
-            8.1150002777576447e-02 -1.3438819348812103e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1019 -1.7120620235800743e-02</internalNodes>
-          <leafValues>
-            -4.2468288540840149e-01 2.0317260175943375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1020 2.1241260692477226e-02</internalNodes>
-          <leafValues>
-            1.4055900275707245e-02 -5.4326081275939941e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1021 -4.6816341578960419e-02</internalNodes>
-          <leafValues>
-            3.9923959970474243e-01 -2.2853419184684753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1022 -2.2095210850238800e-02</internalNodes>
-          <leafValues>
-            -4.1975128650665283e-01 1.1670240201056004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1023 2.2133700549602509e-01</internalNodes>
-          <leafValues>
-            1.3368880376219749e-02 -5.8491647243499756e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1024 5.7718330062925816e-03</internalNodes>
-          <leafValues>
-            -3.9301060140132904e-02 7.6248377561569214e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1025 9.2696389183402061e-03</internalNodes>
-          <leafValues>
-            -4.0809009224176407e-02 2.0580360293388367e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1026 1.6822699690237641e-03</internalNodes>
-          <leafValues>
-            -6.0559730976819992e-02 8.9423552155494690e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1027 -1.5279100276529789e-02</internalNodes>
-          <leafValues>
-            -3.9893868565559387e-01 2.2799460217356682e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1028 -3.1749838963150978e-03</internalNodes>
-          <leafValues>
-            1.3225950300693512e-01 -4.6028770506381989e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1029 2.8258180245757103e-03</internalNodes>
-          <leafValues>
-            -1.0630449652671814e-01 9.6875302493572235e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1030 -5.4384778195526451e-05</internalNodes>
-          <leafValues>
-            5.1282491534948349e-02 -8.4274142980575562e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1031 1.4561800286173820e-02</internalNodes>
-          <leafValues>
-            -4.3352860957384109e-02 1.9777399301528931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1032 4.3724558781832457e-04</internalNodes>
-          <leafValues>
-            -5.0819009542465210e-02 1.0387989878654480e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1033 -1.0908489674329758e-01</internalNodes>
-          <leafValues>
-            -3.3270779252052307e-01 2.6828980073332787e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1034 -7.0241180947050452e-04</internalNodes>
-          <leafValues>
-            7.6168522238731384e-02 -6.4519211649894714e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1035 -1.5636570751667023e-02</internalNodes>
-          <leafValues>
-            -4.4809681177139282e-01 2.0276250317692757e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1036 -1.1897999793291092e-02</internalNodes>
-          <leafValues>
-            -4.9537119269371033e-01 4.4984170235693455e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1037 -1.5789919998496771e-03</internalNodes>
-          <leafValues>
-            1.2958030402660370e-01 -7.2660639882087708e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1038 -4.9960118532180786e-01</internalNodes>
-          <leafValues>
-            -6.6730189323425293e-01 7.9309539869427681e-03</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>200</maxWeakCount>
-      <stageThreshold>-1.2872380018234253e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1039 -7.8940317034721375e-02</internalNodes>
-          <leafValues>
-            3.2988879084587097e-01 -1.9701880216598511e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1040 -1.7321130260825157e-02</internalNodes>
-          <leafValues>
-            2.1981470286846161e-01 -8.1192083656787872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1041 1.2355250306427479e-02</internalNodes>
-          <leafValues>
-            -3.0988898873329163e-01 1.4423920214176178e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1042 -1.0426779836416245e-01</internalNodes>
-          <leafValues>
-            1.5626840293407440e-01 -1.8359909951686859e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1043 -8.5183881223201752e-02</internalNodes>
-          <leafValues>
-            -2.9022741317749023e-01 1.2742319703102112e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1044 -1.3357129693031311e-01</internalNodes>
-          <leafValues>
-            -3.0198419094085693e-01 -1.6821650788187981e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1045 2.2293360531330109e-01</internalNodes>
-          <leafValues>
-            1.8408309668302536e-02 -9.1678131103515625e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1046 -2.7723070234060287e-02</internalNodes>
-          <leafValues>
-            9.9666483700275421e-02 -1.1882440000772476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1047 1.8182699382305145e-01</internalNodes>
-          <leafValues>
-            -5.7261440902948380e-02 4.6252810955047607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1048 2.4684790521860123e-02</internalNodes>
-          <leafValues>
-            6.8861052393913269e-02 -1.9284169375896454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1049 1.3814649544656277e-02</internalNodes>
-          <leafValues>
-            -7.8058518469333649e-02 3.0780151486396790e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1050 -2.4524500593543053e-02</internalNodes>
-          <leafValues>
-            -2.6867350935935974e-01 6.8230986595153809e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1051 7.0112771354615688e-03</internalNodes>
-          <leafValues>
-            -1.8542979657649994e-01 1.1322949826717377e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1052 -1.0548190027475357e-01</internalNodes>
-          <leafValues>
-            -3.4024599194526672e-01 1.0903449729084969e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1053 -6.3391570001840591e-03</internalNodes>
-          <leafValues>
-            1.0419529676437378e-01 -2.0516459643840790e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1054 7.8947477042675018e-02</internalNodes>
-          <leafValues>
-            1.6118109226226807e-02 -4.1540539264678955e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1055 4.8509850166738033e-03</internalNodes>
-          <leafValues>
-            4.8841159790754318e-02 -3.8384801149368286e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1056 4.5862730592489243e-02</internalNodes>
-          <leafValues>
-            -1.5829730033874512e-01 1.0200840234756470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1057 1.3429409824311733e-02</internalNodes>
-          <leafValues>
-            5.4573111236095428e-02 -3.6586639285087585e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1058 1.9151210784912109e-02</internalNodes>
-          <leafValues>
-            1.1911420151591301e-02 -4.3721321225166321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1059 -2.2035999596118927e-01</internalNodes>
-          <leafValues>
-            3.8328599929809570e-01 -5.7721391320228577e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1060 4.2383451014757156e-02</internalNodes>
-          <leafValues>
-            -6.5342620015144348e-02 7.8451372683048248e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1061 3.0524730682373047e-02</internalNodes>
-          <leafValues>
-            4.9622170627117157e-02 -3.4946510195732117e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1062 1.9504040479660034e-02</internalNodes>
-          <leafValues>
-            -6.8343728780746460e-02 2.6461350917816162e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1063 9.8469397053122520e-03</internalNodes>
-          <leafValues>
-            -7.7927976846694946e-02 2.0894029736518860e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1064 -3.2195370644330978e-02</internalNodes>
-          <leafValues>
-            2.6800119876861572e-01 -7.0054799318313599e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1065 -9.8907537758350372e-03</internalNodes>
-          <leafValues>
-            1.2193089723587036e-01 -1.3975459337234497e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1066 1.6434019431471825e-02</internalNodes>
-          <leafValues>
-            2.9636459425091743e-02 -2.3874099552631378e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1067 -8.7646512838546187e-05</internalNodes>
-          <leafValues>
-            1.0851290076971054e-01 -1.3716340065002441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1068 -1.4536869712173939e-02</internalNodes>
-          <leafValues>
-            -3.8466268777847290e-01 2.3676240816712379e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1069 1.1710939928889275e-02</internalNodes>
-          <leafValues>
-            4.1695669293403625e-02 -3.1956040859222412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1070 -1.1641769669950008e-02</internalNodes>
-          <leafValues>
-            -2.8680109977722168e-01 1.4557749964296818e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1071 2.1298279985785484e-02</internalNodes>
-          <leafValues>
-            2.5519400835037231e-02 -4.8966890573501587e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1072 -9.2027969658374786e-03</internalNodes>
-          <leafValues>
-            -6.2252938747406006e-01 8.7586138397455215e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1073 -2.0174520090222359e-02</internalNodes>
-          <leafValues>
-            3.0807420611381531e-01 -3.9538878947496414e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1074 1.0657950304448605e-02</internalNodes>
-          <leafValues>
-            1.0425630025565624e-02 -3.7197288870811462e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1075 4.5577301643788815e-03</internalNodes>
-          <leafValues>
-            -1.1608000099658966e-01 1.0506209731101990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1076 5.9895858168601990e-02</internalNodes>
-          <leafValues>
-            -8.2911262288689613e-03 7.5710900127887726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1077 -9.2518046498298645e-02</internalNodes>
-          <leafValues>
-            -3.9722099900245667e-01 3.5415899008512497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1078 5.3780227899551392e-03</internalNodes>
-          <leafValues>
-            -4.5169800519943237e-02 1.0165379941463470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1079 -2.1006090100854635e-03</internalNodes>
-          <leafValues>
-            7.3628917336463928e-02 -1.8362529575824738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1080 8.4413066506385803e-03</internalNodes>
-          <leafValues>
-            -5.0623130053281784e-02 2.7132049202919006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1081 -2.8913110494613647e-02</internalNodes>
-          <leafValues>
-            -2.3330889642238617e-01 5.6141868233680725e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1082 8.9428931474685669e-02</internalNodes>
-          <leafValues>
-            4.2139500379562378e-02 -2.9663449525833130e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1083 -2.2211730480194092e-02</internalNodes>
-          <leafValues>
-            3.2237181067466736e-01 -4.1160151362419128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1084 3.7851219531148672e-03</internalNodes>
-          <leafValues>
-            -7.0737093687057495e-02 1.0991329699754715e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1085 8.3305174484848976e-03</internalNodes>
-          <leafValues>
-            -1.9362829625606537e-01 6.6261023283004761e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1086 -2.3463189601898193e-02</internalNodes>
-          <leafValues>
-            -2.2869169712066650e-01 5.3898990154266357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1087 1.0604270501062274e-03</internalNodes>
-          <leafValues>
-            -7.2537548840045929e-02 1.5869510173797607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1088 6.5959356725215912e-02</internalNodes>
-          <leafValues>
-            5.6216111406683922e-03 -3.9239290356636047e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1089 -5.4879009723663330e-02</internalNodes>
-          <leafValues>
-            2.8525480628013611e-01 -4.4418711215257645e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1090 3.4504090435802937e-03</internalNodes>
-          <leafValues>
-            1.3675140216946602e-02 -4.4305860996246338e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1091 7.9733468592166901e-03</internalNodes>
-          <leafValues>
-            2.0884349942207336e-02 -5.0481712818145752e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1092 1.8430359661579132e-02</internalNodes>
-          <leafValues>
-            -3.7965130060911179e-02 2.1417169272899628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1093 -6.0115829110145569e-03</internalNodes>
-          <leafValues>
-            -3.4198600053787231e-01 2.9979920014739037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1094 -4.0763098746538162e-02</internalNodes>
-          <leafValues>
-            2.4182400107383728e-01 -3.2476250082254410e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1095 -4.5631989836692810e-02</internalNodes>
-          <leafValues>
-            1.9471660256385803e-01 -8.9865140616893768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1096 -1.3024959713220596e-02</internalNodes>
-          <leafValues>
-            1.8374669551849365e-01 -3.9763871580362320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1097 3.5364780575037003e-02</internalNodes>
-          <leafValues>
-            -9.9338017404079437e-02 1.3468970358371735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1098 1.8771320581436157e-01</internalNodes>
-          <leafValues>
-            1.1638140305876732e-02 -3.4229630231857300e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1099 -7.5244922190904617e-03</internalNodes>
-          <leafValues>
-            -2.0901820063591003e-01 6.4269833266735077e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1100 -3.4522291272878647e-02</internalNodes>
-          <leafValues>
-            3.5216939449310303e-01 -3.6898851394653320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1101 -1.1451860191300511e-03</internalNodes>
-          <leafValues>
-            7.2152033448219299e-02 -2.0841260254383087e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1102 -1.0812779888510704e-02</internalNodes>
-          <leafValues>
-            -3.3911031484603882e-01 1.0240299627184868e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1103 4.4051618315279484e-03</internalNodes>
-          <leafValues>
-            4.4835019856691360e-02 -2.3211100697517395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1104 -6.1400611884891987e-03</internalNodes>
-          <leafValues>
-            -2.6839160919189453e-01 3.9040140807628632e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1105 -2.5988669221987948e-05</internalNodes>
-          <leafValues>
-            1.1040650308132172e-01 -9.7347527742385864e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1106 -9.7707603126764297e-03</internalNodes>
-          <leafValues>
-            1.3180179893970490e-01 -4.2217381298542023e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1107 1.4637519605457783e-02</internalNodes>
-          <leafValues>
-            -3.9937119930982590e-02 2.6679611206054688e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1108 1.7369400709867477e-02</internalNodes>
-          <leafValues>
-            4.3008368462324142e-02 -2.6838469505310059e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1109 2.0715700462460518e-02</internalNodes>
-          <leafValues>
-            -4.4139068573713303e-02 2.5288510322570801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1110 4.4260770082473755e-03</internalNodes>
-          <leafValues>
-            -1.8148280680179596e-02 6.3740082085132599e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1111 -2.1819660440087318e-02</internalNodes>
-          <leafValues>
-            -4.5305460691452026e-01 2.4142699316143990e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1112 4.8437709920108318e-03</internalNodes>
-          <leafValues>
-            1.2343520298600197e-02 -1.5617559850215912e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1113 -2.7822460979223251e-03</internalNodes>
-          <leafValues>
-            -3.0781841278076172e-01 3.3887200057506561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1114 -1.4766600215807557e-03</internalNodes>
-          <leafValues>
-            3.7661001086235046e-02 -3.7117090076208115e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1115 2.0395090803503990e-02</internalNodes>
-          <leafValues>
-            1.3521149754524231e-02 -7.2870039939880371e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1116 1.4377470361068845e-03</internalNodes>
-          <leafValues>
-            -5.5464219301939011e-02 5.5265650153160095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1117 -2.9832549393177032e-02</internalNodes>
-          <leafValues>
-            4.2611280083656311e-01 -2.1838100627064705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1118 3.0555859208106995e-02</internalNodes>
-          <leafValues>
-            1.7631899565458298e-02 -6.0954070091247559e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1119 1.2299589812755585e-01</internalNodes>
-          <leafValues>
-            -2.6662720367312431e-02 3.6958339810371399e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1120 -2.2958520799875259e-02</internalNodes>
-          <leafValues>
-            -4.6332129836082458e-01 1.8426449969410896e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1121 -1.3268290087580681e-02</internalNodes>
-          <leafValues>
-            -4.3808931112289429e-01 1.9012859091162682e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1122 -4.6182751655578613e-02</internalNodes>
-          <leafValues>
-            -7.0005071163177490e-01 1.1527130380272865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1123 2.6312459260225296e-02</internalNodes>
-          <leafValues>
-            -7.1522757411003113e-02 1.2768800556659698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1124 6.8344743340276182e-05</internalNodes>
-          <leafValues>
-            -7.1661248803138733e-02 6.4936593174934387e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1125 -3.7463910877704620e-02</internalNodes>
-          <leafValues>
-            -3.1653049588203430e-01 3.0787749215960503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1126 5.6358661502599716e-02</internalNodes>
-          <leafValues>
-            8.4295487031340599e-03 -6.0672062635421753e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1127 -7.3837172240018845e-03</internalNodes>
-          <leafValues>
-            9.7772389650344849e-02 -9.9168926477432251e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1128 2.9623919544974342e-05</internalNodes>
-          <leafValues>
-            -5.4954130202531815e-02 7.5745277106761932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1129 1.6535919904708862e-01</internalNodes>
-          <leafValues>
-            2.6091169565916061e-02 -3.5252508521080017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1130 -8.3075620234012604e-02</internalNodes>
-          <leafValues>
-            -5.3609657287597656e-01 1.5322240069508553e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1131 1.3314849929884076e-03</internalNodes>
-          <leafValues>
-            -4.3492630124092102e-02 2.1460059285163879e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1132 -2.4037649855017662e-02</internalNodes>
-          <leafValues>
-            3.3584278821945190e-01 -2.4913089349865913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1133 6.2097259797155857e-03</internalNodes>
-          <leafValues>
-            4.9151420593261719e-02 -1.9901290535926819e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1134 7.3641598224639893e-02</internalNodes>
-          <leafValues>
-            -8.7231457233428955e-02 1.0949330031871796e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1135 2.8918519616127014e-02</internalNodes>
-          <leafValues>
-            5.1056448370218277e-02 -2.0575879514217377e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1136 3.7253550253808498e-03</internalNodes>
-          <leafValues>
-            -3.6701608449220657e-02 1.0511349886655807e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1137 8.2107484340667725e-03</internalNodes>
-          <leafValues>
-            2.3830300197005272e-02 -3.5800701379776001e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1138 1.8392279744148254e-03</internalNodes>
-          <leafValues>
-            -4.4707790017127991e-02 1.1898309737443924e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1139 -6.8104080855846405e-03</internalNodes>
-          <leafValues>
-            -1.6840079426765442e-01 4.8348199576139450e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1140 3.3966489136219025e-03</internalNodes>
-          <leafValues>
-            -3.0804419890046120e-02 1.3462269306182861e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1141 3.3915819949470460e-04</internalNodes>
-          <leafValues>
-            -7.7528692781925201e-02 1.1303810030221939e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1142 -1.8353240191936493e-01</internalNodes>
-          <leafValues>
-            9.5320522785186768e-02 -3.2496929168701172e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1143 4.4860368967056274e-01</internalNodes>
-          <leafValues>
-            1.3921190053224564e-02 -7.2890061140060425e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1144 8.8801890611648560e-02</internalNodes>
-          <leafValues>
-            -6.4020909368991852e-02 3.6400448530912399e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1145 1.0808440297842026e-01</internalNodes>
-          <leafValues>
-            -6.4322993159294128e-02 1.9376879930496216e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1146 -6.9059031084179878e-03</internalNodes>
-          <leafValues>
-            -3.1092429161071777e-01 2.0556580275297165e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1147 2.5598949287086725e-03</internalNodes>
-          <leafValues>
-            -9.1550342738628387e-02 9.2027373611927032e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1148 4.9356167437508702e-04</internalNodes>
-          <leafValues>
-            -2.4271320551633835e-02 6.5760858356952667e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1149 1.5352670103311539e-02</internalNodes>
-          <leafValues>
-            1.7310719937086105e-02 -4.8900419473648071e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1150 9.7035951912403107e-03</internalNodes>
-          <leafValues>
-            8.9735705405473709e-03 -4.1271901130676270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1151 -2.1431730128824711e-03</internalNodes>
-          <leafValues>
-            -1.9551250338554382e-01 3.8025110960006714e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1152 -5.3084579121787101e-05</internalNodes>
-          <leafValues>
-            7.0507623255252838e-02 -4.7128938138484955e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1153 8.6803667247295380e-02</internalNodes>
-          <leafValues>
-            -1.6351899132132530e-02 4.7820520401000977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1154 1.1078939773142338e-02</internalNodes>
-          <leafValues>
-            -2.5524420663714409e-02 1.0990680009126663e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1155 -6.1349938623607159e-03</internalNodes>
-          <leafValues>
-            -3.5728418827056885e-01 2.2397089749574661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1156 -4.7654299996793270e-03</internalNodes>
-          <leafValues>
-            -8.5008271038532257e-02 2.2307649254798889e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1157 1.2252650223672390e-02</internalNodes>
-          <leafValues>
-            1.7857609316706657e-02 -4.1976860165596008e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1158 1.1971440166234970e-02</internalNodes>
-          <leafValues>
-            -2.1071229130029678e-02 2.3789730668067932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1159 3.2991201151162386e-03</internalNodes>
-          <leafValues>
-            -6.1564899981021881e-02 1.3292570412158966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1160 -1.8449019640684128e-02</internalNodes>
-          <leafValues>
-            1.4298330247402191e-01 -2.5206809863448143e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1161 -7.4155619367957115e-03</internalNodes>
-          <leafValues>
-            1.7994129657745361e-01 -4.9833629280328751e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1162 4.8206571489572525e-02</internalNodes>
-          <leafValues>
-            2.7245989069342613e-02 -3.8131779432296753e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1163 1.1687170481309295e-03</internalNodes>
-          <leafValues>
-            4.6957340091466904e-02 -1.8173030018806458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1164 -1.3616660237312317e-01</internalNodes>
-          <leafValues>
-            4.0798899531364441e-01 -2.2476859390735626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1165 -2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            1.0147339850664139e-01 -8.4523528814315796e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1166 7.6772958040237427e-02</internalNodes>
-          <leafValues>
-            6.4514591358602047e-03 -4.6041280031204224e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1167 6.3457563519477844e-02</internalNodes>
-          <leafValues>
-            -2.0250169560313225e-02 3.9726629853248596e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1168 -3.3444589935243130e-03</internalNodes>
-          <leafValues>
-            1.5261699259281158e-01 -5.2653640508651733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1169 5.7241220027208328e-02</internalNodes>
-          <leafValues>
-            -1.3445749878883362e-01 8.0746330320835114e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1170 -4.1631441563367844e-02</internalNodes>
-          <leafValues>
-            -1.0822279751300812e-01 2.2437069565057755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1171 1.4903079718351364e-02</internalNodes>
-          <leafValues>
-            4.5007079839706421e-02 -2.2001840174198151e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1172 2.2303420305252075e-01</internalNodes>
-          <leafValues>
-            1.2495860457420349e-02 -6.0045099258422852e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1173 1.6906030476093292e-02</internalNodes>
-          <leafValues>
-            1.2750269845128059e-02 -5.3238618373870850e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1174 2.4477340281009674e-01</internalNodes>
-          <leafValues>
-            3.1138889025896788e-03 -5.7128059864044189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1175 -1.8740040063858032e-01</internalNodes>
-          <leafValues>
-            4.3744760751724243e-01 -1.9650889560580254e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1176 5.0131231546401978e-03</internalNodes>
-          <leafValues>
-            -6.7403636872768402e-02 1.0132519900798798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1177 1.2101340107619762e-03</internalNodes>
-          <leafValues>
-            3.4509558230638504e-02 -2.1935179829597473e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1178 -1.0921210050582886e-02</internalNodes>
-          <leafValues>
-            -1.5897870063781738e-01 6.7669888958334923e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1179 1.0091220028698444e-03</internalNodes>
-          <leafValues>
-            -8.0816611647605896e-02 9.0216286480426788e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1180 -7.9159833490848541e-02</internalNodes>
-          <leafValues>
-            -4.9557760357856750e-01 9.0577276423573494e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1181 2.3125790059566498e-02</internalNodes>
-          <leafValues>
-            2.6155060157179832e-02 -2.6404741406440735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1182 2.5399661064147949e-01</internalNodes>
-          <leafValues>
-            -4.1755758225917816e-02 8.4267638623714447e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1183 4.1338570415973663e-02</internalNodes>
-          <leafValues>
-            -5.4307978600263596e-02 1.6323280334472656e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1184 7.9801427200436592e-03</internalNodes>
-          <leafValues>
-            -5.6379988789558411e-02 8.5087403655052185e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1185 -2.2182149812579155e-02</internalNodes>
-          <leafValues>
-            1.5680639445781708e-01 -5.2673079073429108e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1186 8.8383043475914747e-05</internalNodes>
-          <leafValues>
-            -1.1258769780397415e-01 7.1022190153598785e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1187 -5.0613721832633018e-03</internalNodes>
-          <leafValues>
-            -3.7599068880081177e-01 2.2983800619840622e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1188 6.3651002943515778e-02</internalNodes>
-          <leafValues>
-            4.1155992075800896e-03 -4.1837128996849060e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1189 1.9820030778646469e-02</internalNodes>
-          <leafValues>
-            -8.2667507231235504e-02 9.7538232803344727e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1190 1.2445739703252912e-03</internalNodes>
-          <leafValues>
-            -3.3446729183197021e-02 1.4538469910621643e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1191 -1.1178659647703171e-01</internalNodes>
-          <leafValues>
-            2.5024509429931641e-01 -3.5332940518856049e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1192 -2.4203520733863115e-03</internalNodes>
-          <leafValues>
-            1.7330379784107208e-01 -2.2793199867010117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1193 1.2127320223953575e-04</internalNodes>
-          <leafValues>
-            -7.4290402233600616e-02 1.1935789883136749e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1194 8.6516663432121277e-03</internalNodes>
-          <leafValues>
-            1.1963260360062122e-02 -2.8482851386070251e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1195 2.5779709176276810e-05</internalNodes>
-          <leafValues>
-            -1.1878810077905655e-01 8.3679713308811188e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1196 6.6892090253531933e-03</internalNodes>
-          <leafValues>
-            -2.5949949398636818e-02 9.8636366426944733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1197 7.3373341001570225e-03</internalNodes>
-          <leafValues>
-            -5.6868050247430801e-02 1.3806000351905823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1198 -4.8734410665929317e-03</internalNodes>
-          <leafValues>
-            7.7433526515960693e-02 -3.5236679017543793e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1199 6.4124629716388881e-05</internalNodes>
-          <leafValues>
-            -1.2456929683685303e-01 7.1608223021030426e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1200 -3.0315749347209930e-02</internalNodes>
-          <leafValues>
-            -1.9579620659351349e-01 3.0857350677251816e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1201 -3.5041071474552155e-02</internalNodes>
-          <leafValues>
-            1.7880150675773621e-01 -4.8966780304908752e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1202 4.1970908641815186e-02</internalNodes>
-          <leafValues>
-            -4.0191859006881714e-02 1.2946340441703796e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1203 -4.0881849825382233e-02</internalNodes>
-          <leafValues>
-            1.3018250465393066e-01 -7.8276343643665314e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1204 -5.2412762306630611e-03</internalNodes>
-          <leafValues>
-            -1.8295650184154510e-01 3.7169050425291061e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1205 5.0555911002447829e-05</internalNodes>
-          <leafValues>
-            -8.3728358149528503e-02 9.3980863690376282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1206 1.6592690721154213e-02</internalNodes>
-          <leafValues>
-            5.7793757878243923e-03 -8.1482458114624023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1207 6.3152369111776352e-03</internalNodes>
-          <leafValues>
-            2.1336369216442108e-02 -3.2484549283981323e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1208 -5.6888211518526077e-02</internalNodes>
-          <leafValues>
-            -4.1595301032066345e-01 3.6880860570818186e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1209 3.4150490537285805e-03</internalNodes>
-          <leafValues>
-            -5.3596410900354385e-02 1.4040400087833405e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1210 1.4779959619045258e-01</internalNodes>
-          <leafValues>
-            4.9799410626292229e-03 -6.2260872125625610e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1211 -6.9511711597442627e-02</internalNodes>
-          <leafValues>
-            -4.3304800987243652e-01 1.8926220014691353e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1212 1.6076939646154642e-03</internalNodes>
-          <leafValues>
-            -3.6794148385524750e-02 6.8327270448207855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1213 1.5456780092790723e-03</internalNodes>
-          <leafValues>
-            -6.6803686320781708e-02 1.3351519405841827e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1214 1.5967389568686485e-02</internalNodes>
-          <leafValues>
-            6.9505311548709869e-03 -4.7136560082435608e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1215 2.8711509704589844e-01</internalNodes>
-          <leafValues>
-            -1.5348769724369049e-02 4.7458758950233459e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1216 3.4093499183654785e-01</internalNodes>
-          <leafValues>
-            5.4452791810035706e-03 -7.9175651073455811e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1217 6.6727129742503166e-03</internalNodes>
-          <leafValues>
-            2.9457410797476768e-02 -2.5477468967437744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1218 -2.6719029992818832e-03</internalNodes>
-          <leafValues>
-            -1.7070059478282928e-01 3.5767339169979095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1219 5.2617820911109447e-03</internalNodes>
-          <leafValues>
-            -3.3655051141977310e-02 2.1332639455795288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1220 8.1078894436359406e-03</internalNodes>
-          <leafValues>
-            3.0109869316220284e-02 -4.6023748815059662e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1221 1.6731999814510345e-02</internalNodes>
-          <leafValues>
-            -4.3719969689846039e-02 1.9436429440975189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1222 1.9152810797095299e-02</internalNodes>
-          <leafValues>
-            1.7497120425105095e-02 -4.2827600240707397e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1223 -1.4171889424324036e-01</internalNodes>
-          <leafValues>
-            -3.8993918895721436e-01 1.7089590430259705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1224 3.8122260011732578e-03</internalNodes>
-          <leafValues>
-            -1.1586090177297592e-01 5.0662569701671600e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1225 -1.7030799761414528e-02</internalNodes>
-          <leafValues>
-            -5.3991311788558960e-01 1.1941430158913136e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1226 -8.8250916451215744e-03</internalNodes>
-          <leafValues>
-            -3.3240219950675964e-01 8.3178747445344925e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1227 -5.9308991767466068e-03</internalNodes>
-          <leafValues>
-            2.2111830115318298e-01 -3.1433571130037308e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1228 -3.7457819562405348e-03</internalNodes>
-          <leafValues>
-            -1.0303570330142975e-01 2.4099970236420631e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1229 4.8495861701667309e-03</internalNodes>
-          <leafValues>
-            2.5730669498443604e-02 -2.6656630635261536e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1230 3.0769100785255432e-01</internalNodes>
-          <leafValues>
-            2.6101889088749886e-02 -1.8695330619812012e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1231 1.1795950122177601e-02</internalNodes>
-          <leafValues>
-            -1.1187969893217087e-01 6.8893343210220337e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1232 -1.0205689817667007e-01</internalNodes>
-          <leafValues>
-            1.6410979628562927e-01 -3.9911000058054924e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1233 1.0506930202245712e-01</internalNodes>
-          <leafValues>
-            -1.7098480835556984e-02 4.2889660596847534e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1234 4.8301670176442713e-05</internalNodes>
-          <leafValues>
-            -4.1623938828706741e-02 4.9571871757507324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1235 2.2682799026370049e-03</internalNodes>
-          <leafValues>
-            -6.8807549774646759e-02 1.0216739773750305e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1236 -6.0366461984813213e-03</internalNodes>
-          <leafValues>
-            -1.7388309538364410e-01 1.9866410642862320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1237 4.9747680313885212e-03</internalNodes>
-          <leafValues>
-            3.3109340816736221e-02 -2.3262310028076172e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1238 -3.4262079745531082e-02</internalNodes>
-          <leafValues>
-            -2.1563960611820221e-01 1.1507480405271053e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>205</maxWeakCount>
-      <stageThreshold>-1.2998509407043457e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1239 8.8293753564357758e-02</internalNodes>
-          <leafValues>
-            -2.4894049763679504e-01 2.6465269923210144e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1240 -1.6517499461770058e-02</internalNodes>
-          <leafValues>
-            1.3087649643421173e-01 -4.8301700502634048e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1241 2.4295739829540253e-01</internalNodes>
-          <leafValues>
-            2.4608039529994130e-04 -1.2118969726562500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1242 1.7855629324913025e-02</internalNodes>
-          <leafValues>
-            -2.1882280707359314e-02 6.2913432717323303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1243 -1.1276870034635067e-02</internalNodes>
-          <leafValues>
-            1.8169599771499634e-01 -2.3071660101413727e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1244 2.3212030529975891e-02</internalNodes>
-          <leafValues>
-            1.0888969898223877e-01 -2.8105589747428894e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1245 -3.3462621271610260e-02</internalNodes>
-          <leafValues>
-            4.2646810412406921e-01 -1.1283230036497116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1246 3.0994430184364319e-02</internalNodes>
-          <leafValues>
-            5.7805508375167847e-02 -3.9169758558273315e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1247 -1.5080560743808746e-01</internalNodes>
-          <leafValues>
-            -4.4636020064353943e-01 6.8994842469692230e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1248 1.9667649269104004e-01</internalNodes>
-          <leafValues>
-            5.0415519624948502e-02 -5.1629501581192017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1249 2.2066079545766115e-03</internalNodes>
-          <leafValues>
-            -7.0726096630096436e-02 2.7825760841369629e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1250 -1.0757049918174744e-01</internalNodes>
-          <leafValues>
-            2.4468080699443817e-01 -7.2584472596645355e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1251 6.0178998857736588e-02</internalNodes>
-          <leafValues>
-            -9.3773849308490753e-02 2.0907169580459595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1252 7.2164356708526611e-02</internalNodes>
-          <leafValues>
-            2.4619700387120247e-02 -3.7749460339546204e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1253 -1.8397889798507094e-03</internalNodes>
-          <leafValues>
-            -3.6595511436462402e-01 3.5692859441041946e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1254 3.3323359675705433e-03</internalNodes>
-          <leafValues>
-            2.7419339865446091e-02 -2.1830609440803528e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1255 2.5542399287223816e-01</internalNodes>
-          <leafValues>
-            4.2471811175346375e-02 -4.0455558896064758e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1256 8.3238910883665085e-03</internalNodes>
-          <leafValues>
-            -3.8298089057207108e-02 1.9972600042819977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1257 3.6837169900536537e-03</internalNodes>
-          <leafValues>
-            5.1650788635015488e-02 -3.1488728523254395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1258 1.5801090002059937e-01</internalNodes>
-          <leafValues>
-            7.9839415848255157e-03 -6.4591610431671143e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1259 1.1954840272665024e-01</internalNodes>
-          <leafValues>
-            3.0364699661731720e-02 -4.8359268903732300e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1260 -8.1479396612849087e-05</internalNodes>
-          <leafValues>
-            9.1914586722850800e-02 -1.0646209865808487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1261 2.5267980527132750e-03</internalNodes>
-          <leafValues>
-            4.5257300138473511e-02 -3.4382629394531250e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1262 1.7898750305175781e-01</internalNodes>
-          <leafValues>
-            1.4417519792914391e-02 -5.0265449285507202e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1263 -3.9555188268423080e-02</internalNodes>
-          <leafValues>
-            -3.5880690813064575e-01 3.4250080585479736e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1264 7.6789730228483677e-03</internalNodes>
-          <leafValues>
-            -1.1144369840621948e-01 1.3516369462013245e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1265 1.0572779923677444e-02</internalNodes>
-          <leafValues>
-            -4.3757978826761246e-02 3.1598579883575439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1266 3.5706758499145508e-02</internalNodes>
-          <leafValues>
-            -1.5924380719661713e-01 8.3367466926574707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1267 1.5176620334386826e-02</internalNodes>
-          <leafValues>
-            -1.0966440290212631e-01 1.4354470372200012e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1268 -5.1909979432821274e-02</internalNodes>
-          <leafValues>
-            1.3713189959526062e-01 -2.8933400288224220e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1269 -2.4980900809168816e-02</internalNodes>
-          <leafValues>
-            1.2819109857082367e-01 -1.0164009779691696e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1270 5.1697930321097374e-03</internalNodes>
-          <leafValues>
-            3.9700139313936234e-02 -1.6936889290809631e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1271 -4.7851498238742352e-03</internalNodes>
-          <leafValues>
-            -2.8047218918800354e-01 4.2479898780584335e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1272 -1.1434390209615231e-02</internalNodes>
-          <leafValues>
-            -3.0073690414428711e-01 2.7911560609936714e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1273 3.1038429588079453e-02</internalNodes>
-          <leafValues>
-            -3.8415629416704178e-02 3.1910240650177002e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1274 1.9539990462362766e-03</internalNodes>
-          <leafValues>
-            4.9008220434188843e-02 -2.4340090155601501e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1275 1.5783209819346666e-03</internalNodes>
-          <leafValues>
-            4.9061909317970276e-02 -2.1728959679603577e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1276 -1.4102280139923096e-01</internalNodes>
-          <leafValues>
-            1.2385349720716476e-01 -1.9456090405583382e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1277 2.5759469717741013e-02</internalNodes>
-          <leafValues>
-            -5.7730589061975479e-02 2.2352460026741028e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1278 -1.3943019509315491e-01</internalNodes>
-          <leafValues>
-            -4.3312790989875793e-01 5.1124738529324532e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1279 -9.7004458308219910e-02</internalNodes>
-          <leafValues>
-            -5.8657991886138916e-01 1.7181839793920517e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1280 9.5027927309274673e-03</internalNodes>
-          <leafValues>
-            -2.8794759884476662e-02 2.9738929867744446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1281 -2.6246929541230202e-02</internalNodes>
-          <leafValues>
-            -2.1234120428562164e-01 4.9407571554183960e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1282 -2.8517890721559525e-02</internalNodes>
-          <leafValues>
-            -4.1019749641418457e-01 1.0724140331149101e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1283 -7.9501066356897354e-03</internalNodes>
-          <leafValues>
-            2.9748660326004028e-01 -3.5765208303928375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1284 -2.9474299401044846e-02</internalNodes>
-          <leafValues>
-            -2.7445879578590393e-01 3.7858150899410248e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1285 -1.9700409844517708e-02</internalNodes>
-          <leafValues>
-            -3.7312510609626770e-01 2.4606190621852875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1286 2.0297240465879440e-02</internalNodes>
-          <leafValues>
-            -1.1456100270152092e-02 1.3001470267772675e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1287 -7.3365420103073120e-02</internalNodes>
-          <leafValues>
-            -3.3396759629249573e-01 2.8859499841928482e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1288 6.3272351399064064e-03</internalNodes>
-          <leafValues>
-            -7.6731666922569275e-02 1.5083900094032288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1289 -1.3661600649356842e-01</internalNodes>
-          <leafValues>
-            1.6243369877338409e-01 -9.5643773674964905e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1290 -1.0758030228316784e-02</internalNodes>
-          <leafValues>
-            -2.3738150298595428e-01 3.1558960676193237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1291 6.6685132682323456e-02</internalNodes>
-          <leafValues>
-            1.5413840301334858e-02 -6.2513381242752075e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1292 3.0325201153755188e-01</internalNodes>
-          <leafValues>
-            -2.9134880751371384e-02 3.6113429069519043e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1293 -1.5823159366846085e-02</internalNodes>
-          <leafValues>
-            -4.0985879302024841e-01 2.3118449375033379e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1294 2.5374559685587883e-02</internalNodes>
-          <leafValues>
-            -2.0472100004553795e-02 2.7052029967308044e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1295 1.6346940770745277e-02</internalNodes>
-          <leafValues>
-            -3.5330820828676224e-02 2.8036290407180786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1296 3.4061360638588667e-03</internalNodes>
-          <leafValues>
-            -1.1166790127754211e-01 9.2086836695671082e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1297 2.3185899853706360e-01</internalNodes>
-          <leafValues>
-            -5.3374111652374268e-02 2.2651399672031403e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1298 8.7358150631189346e-03</internalNodes>
-          <leafValues>
-            6.2240570783615112e-02 -1.6097889840602875e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1299 4.7981638461351395e-02</internalNodes>
-          <leafValues>
-            3.2530840486288071e-02 -2.7026590704917908e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1300 3.2552659511566162e-02</internalNodes>
-          <leafValues>
-            -2.6799609884619713e-02 3.6133301258087158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1301 -5.2017602138221264e-03</internalNodes>
-          <leafValues>
-            -2.2696959972381592e-01 5.3690869361162186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1302 -5.2009779959917068e-02</internalNodes>
-          <leafValues>
-            5.1674157381057739e-01 -2.0591339096426964e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1303 -5.0841891206800938e-03</internalNodes>
-          <leafValues>
-            8.3876252174377441e-02 -1.2154210358858109e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1304 5.3035072050988674e-03</internalNodes>
-          <leafValues>
-            3.1446810811758041e-02 -1.2339060008525848e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1305 4.5940061099827290e-03</internalNodes>
-          <leafValues>
-            -6.2744297087192535e-02 1.4181789755821228e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1306 6.9754808209836483e-03</internalNodes>
-          <leafValues>
-            2.7987610548734665e-02 -3.0492180585861206e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1307 -3.3900879789143801e-03</internalNodes>
-          <leafValues>
-            -2.1763899922370911e-01 3.6219488829374313e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1308 9.5793427899479866e-03</internalNodes>
-          <leafValues>
-            -4.3325878679752350e-02 1.6427470743656158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1309 -5.5032961070537567e-02</internalNodes>
-          <leafValues>
-            -2.6936888694763184e-01 3.2055959105491638e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1310 -9.5517598092556000e-02</internalNodes>
-          <leafValues>
-            2.1610739827156067e-01 -5.8239780366420746e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1311 -8.8512140791863203e-04</internalNodes>
-          <leafValues>
-            7.5295902788639069e-02 -1.2177939713001251e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1312 8.4586488083004951e-03</internalNodes>
-          <leafValues>
-            -4.5572049915790558e-02 2.8566330671310425e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1313 1.3831759989261627e-01</internalNodes>
-          <leafValues>
-            -3.0347919091582298e-02 2.8037178516387939e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1314 -8.5889035835862160e-03</internalNodes>
-          <leafValues>
-            2.5955429673194885e-01 -2.4801440536975861e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1315 2.6830460410565138e-03</internalNodes>
-          <leafValues>
-            -1.3567750155925751e-01 7.5019992887973785e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1316 5.6114759296178818e-02</internalNodes>
-          <leafValues>
-            -1.3314700126647949e-01 6.7530378699302673e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1317 6.4768209122121334e-03</internalNodes>
-          <leafValues>
-            -4.2834509164094925e-02 2.2837740182876587e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1318 7.5396071188151836e-03</internalNodes>
-          <leafValues>
-            1.7571780830621719e-02 -4.7123318910598755e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1319 -3.2276589423418045e-02</internalNodes>
-          <leafValues>
-            1.6673429310321808e-01 -5.7283289730548859e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1320 8.1356316804885864e-03</internalNodes>
-          <leafValues>
-            2.7268510311841965e-02 -1.1111909896135330e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1321 1.0477039963006973e-02</internalNodes>
-          <leafValues>
-            2.6003930717706680e-02 -3.6761531233787537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1322 3.0995670706033707e-02</internalNodes>
-          <leafValues>
-            -2.8645429760217667e-02 3.3150678873062134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1323 -7.0666121318936348e-03</internalNodes>
-          <leafValues>
-            -4.0544331073760986e-01 2.5192549452185631e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1324 -3.6987180355936289e-03</internalNodes>
-          <leafValues>
-            6.3140757381916046e-02 -3.2778479158878326e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1325 -3.0666269361972809e-02</internalNodes>
-          <leafValues>
-            3.2546588778495789e-01 -2.7702359482645988e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1326 7.8880243003368378e-02</internalNodes>
-          <leafValues>
-            1.5338109806180000e-02 -2.2066299617290497e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1327 -3.2662380486726761e-02</internalNodes>
-          <leafValues>
-            -2.6111158728599548e-01 3.9614301174879074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1328 -2.0299869775772095e-01</internalNodes>
-          <leafValues>
-            4.6856230497360229e-01 -2.1190289407968521e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1329 -1.3156479690223932e-03</internalNodes>
-          <leafValues>
-            5.1139071583747864e-02 -1.7780220508575439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1330 2.4586269259452820e-01</internalNodes>
-          <leafValues>
-            2.0771999843418598e-03 -7.2302591800689697e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1331 9.6061620861291885e-03</internalNodes>
-          <leafValues>
-            -4.3856609612703323e-02 2.0256240665912628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1332 9.2888638377189636e-02</internalNodes>
-          <leafValues>
-            2.5762340053915977e-02 -8.1829749047756195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1333 1.8360089743509889e-03</internalNodes>
-          <leafValues>
-            -1.0658069700002670e-01 7.7832147479057312e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1334 -1.0181380435824394e-02</internalNodes>
-          <leafValues>
-            -7.0450127124786377e-02 2.1115120500326157e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1335 2.2913800179958344e-01</internalNodes>
-          <leafValues>
-            1.0578580200672150e-02 -8.1552761793136597e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1336 -2.1260060369968414e-02</internalNodes>
-          <leafValues>
-            -2.3754499852657318e-01 1.2737980112433434e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1337 1.9725849851965904e-03</internalNodes>
-          <leafValues>
-            5.7212870568037033e-02 -1.3770629465579987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1338 -4.6411700168391690e-05</internalNodes>
-          <leafValues>
-            5.0291039049625397e-02 -5.7502999901771545e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1339 -3.6206799745559692e-01</internalNodes>
-          <leafValues>
-            -7.7337008714675903e-01 1.0174609720706940e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1340 -1.4286839962005615e-01</internalNodes>
-          <leafValues>
-            3.6285620927810669e-01 -2.9650410637259483e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1341 -6.0175389051437378e-02</internalNodes>
-          <leafValues>
-            1.0930059850215912e-01 -9.0728648006916046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1342 4.7640471166232601e-05</internalNodes>
-          <leafValues>
-            -5.5577810853719711e-02 7.7917866408824921e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1343 -5.4806099797133356e-05</internalNodes>
-          <leafValues>
-            8.5094630718231201e-02 -9.0222798287868500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1344 -8.2555618137121201e-03</internalNodes>
-          <leafValues>
-            1.6778500378131866e-01 -3.9129231125116348e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1345 -2.4975580163300037e-03</internalNodes>
-          <leafValues>
-            -2.5427588820457458e-01 3.1008599326014519e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1346 1.6913549602031708e-01</internalNodes>
-          <leafValues>
-            7.6711731962859631e-03 -4.7778978943824768e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1347 8.0642458051443100e-03</internalNodes>
-          <leafValues>
-            3.2001681625843048e-02 -2.2016289830207825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1348 5.8364861615700647e-05</internalNodes>
-          <leafValues>
-            -9.2706032097339630e-02 9.2668697237968445e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1349 -2.4263940751552582e-02</internalNodes>
-          <leafValues>
-            3.0613300204277039e-01 -2.3674689233303070e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1350 1.2453939765691757e-01</internalNodes>
-          <leafValues>
-            -1.1398720089346170e-03 6.5001028776168823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1351 -3.0860610306262970e-02</internalNodes>
-          <leafValues>
-            -2.3400309681892395e-01 3.4316759556531906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1352 1.2754309922456741e-02</internalNodes>
-          <leafValues>
-            -3.9132729172706604e-02 9.4901800155639648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1353 3.7656739354133606e-02</internalNodes>
-          <leafValues>
-            2.6196390390396118e-02 -3.0910909175872803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1354 -3.1221879646182060e-02</internalNodes>
-          <leafValues>
-            -2.8618350625038147e-01 5.0922371447086334e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1355 -1.3468950055539608e-02</internalNodes>
-          <leafValues>
-            2.1257250010967255e-01 -3.5957340151071548e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1356 -7.5858170166611671e-03</internalNodes>
-          <leafValues>
-            -1.4510390162467957e-01 2.8400380164384842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1357 -3.2564129680395126e-02</internalNodes>
-          <leafValues>
-            2.1210159361362457e-01 -3.3740561455488205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1358 -4.7857668250799179e-02</internalNodes>
-          <leafValues>
-            -2.8939861059188843e-01 8.2710552960634232e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1359 4.0885780006647110e-02</internalNodes>
-          <leafValues>
-            1.5406140126287937e-02 -5.2735280990600586e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1360 -1.1155439540743828e-02</internalNodes>
-          <leafValues>
-            2.0481599867343903e-01 -3.8578160107135773e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1361 -4.3652538210153580e-02</internalNodes>
-          <leafValues>
-            -5.6057322025299072e-01 1.5544040128588676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1362 -2.3742709308862686e-02</internalNodes>
-          <leafValues>
-            -7.8456741571426392e-01 3.1750639900565147e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1363 1.0698919743299484e-01</internalNodes>
-          <leafValues>
-            -2.6180049404501915e-02 2.7015981078147888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1364 3.7855070084333420e-02</internalNodes>
-          <leafValues>
-            6.5697189420461655e-03 -4.0291649103164673e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1365 -3.0002340674400330e-02</internalNodes>
-          <leafValues>
-            -3.6409360170364380e-01 1.9139550626277924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1366 1.7724040895700455e-02</internalNodes>
-          <leafValues>
-            1.2176860123872757e-02 -3.6743289232254028e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1367 -7.9289022833108902e-03</internalNodes>
-          <leafValues>
-            -2.3455849289894104e-01 3.1265281140804291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1368 -4.1190151125192642e-02</internalNodes>
-          <leafValues>
-            1.7809179425239563e-01 -2.8660740703344345e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1369 1.0414299555122852e-02</internalNodes>
-          <leafValues>
-            -4.6135619282722473e-02 2.2065189480781555e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1370 -6.2351129949092865e-02</internalNodes>
-          <leafValues>
-            -6.0133552551269531e-01 1.1970040388405323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1371 1.0768829844892025e-02</internalNodes>
-          <leafValues>
-            -3.7883501499891281e-02 1.9194099307060242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1372 -1.5350959729403257e-03</internalNodes>
-          <leafValues>
-            1.3435329496860504e-01 -5.9909719973802567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1373 -4.9390122294425964e-03</internalNodes>
-          <leafValues>
-            -2.2644749283790588e-01 3.3138100057840347e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1374 2.9866439290344715e-03</internalNodes>
-          <leafValues>
-            3.9536539465188980e-02 -1.7985729873180389e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1375 7.1302180003840476e-05</internalNodes>
-          <leafValues>
-            -1.2174189835786819e-01 5.7866320013999939e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1376 1.4132769778370857e-02</internalNodes>
-          <leafValues>
-            -6.9726303219795227e-02 1.0778389871120453e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1377 -8.7037831544876099e-03</internalNodes>
-          <leafValues>
-            1.3537360727787018e-01 -6.1749380081892014e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1378 -3.9659719914197922e-02</internalNodes>
-          <leafValues>
-            2.8668469190597534e-01 -4.0120128542184830e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1379 1.6550280153751373e-02</internalNodes>
-          <leafValues>
-            -5.4914530366659164e-02 1.5019510686397552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1380 1.8208170309662819e-02</internalNodes>
-          <leafValues>
-            -7.1605183184146881e-02 1.9685640931129456e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1381 -2.9519250616431236e-02</internalNodes>
-          <leafValues>
-            2.0991930365562439e-01 -4.3216299265623093e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1382 -2.1285060793161392e-02</internalNodes>
-          <leafValues>
-            1.8691639602184296e-01 -2.3788860067725182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1383 3.7830621004104614e-02</internalNodes>
-          <leafValues>
-            -1.2754780054092407e-01 7.2359248995780945e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1384 1.1643759906291962e-02</internalNodes>
-          <leafValues>
-            -4.6442810446023941e-02 1.3790960609912872e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1385 -5.9127039276063442e-03</internalNodes>
-          <leafValues>
-            -1.6960899531841278e-01 4.4999938458204269e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1386 -5.7644449174404144e-02</internalNodes>
-          <leafValues>
-            -2.9772061109542847e-01 8.5106249898672104e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1387 -5.3929239511489868e-02</internalNodes>
-          <leafValues>
-            -3.4829708933830261e-01 2.0777279511094093e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1388 7.7844387851655483e-04</internalNodes>
-          <leafValues>
-            -1.0678429901599884e-01 6.3128329813480377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1389 2.1701509132981300e-02</internalNodes>
-          <leafValues>
-            -4.3070908635854721e-02 2.0515139400959015e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1390 1.4290180057287216e-02</internalNodes>
-          <leafValues>
-            4.0106780827045441e-02 -1.9636610150337219e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1391 4.7906510531902313e-02</internalNodes>
-          <leafValues>
-            2.6682909578084946e-02 -2.6081061363220215e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1392 2.0704690366983414e-02</internalNodes>
-          <leafValues>
-            8.2300165668129921e-03 -1.7172940075397491e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1393 -2.2899899631738663e-02</internalNodes>
-          <leafValues>
-            -3.7081000208854675e-01 1.8541749566793442e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1394 -1.9879220053553581e-03</internalNodes>
-          <leafValues>
-            1.6436809301376343e-01 -2.1798299625515938e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1395 5.4986838222248480e-05</internalNodes>
-          <leafValues>
-            -6.4901493489742279e-02 1.0623300075531006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1396 1.3559920480474830e-03</internalNodes>
-          <leafValues>
-            -2.4597849696874619e-02 1.4361660182476044e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1397 -2.6802290449268185e-05</internalNodes>
-          <leafValues>
-            7.7275946736335754e-02 -9.1653436422348022e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1398 -7.1620233356952667e-02</internalNodes>
-          <leafValues>
-            -2.4552260339260101e-01 2.9534120112657547e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1399 2.4330910295248032e-02</internalNodes>
-          <leafValues>
-            4.1399519890546799e-02 -1.5903189778327942e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1400 2.7946570888161659e-02</internalNodes>
-          <leafValues>
-            2.2586109116673470e-03 -6.7318201065063477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1401 -1.4360989443957806e-03</internalNodes>
-          <leafValues>
-            1.0648050159215927e-01 -6.4426578581333160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1402 4.7291368246078491e-03</internalNodes>
-          <leafValues>
-            1.9701540470123291e-02 -2.8576970100402832e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1403 -9.9202662706375122e-02</internalNodes>
-          <leafValues>
-            -3.5200428962707520e-01 1.6816059127449989e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1404 -8.9718345552682877e-03</internalNodes>
-          <leafValues>
-            9.1350711882114410e-02 -2.3734020069241524e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1405 3.2134570647031069e-03</internalNodes>
-          <leafValues>
-            -4.9445088952779770e-02 1.4231130480766296e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1406 -1.0166129795834422e-03</internalNodes>
-          <leafValues>
-            6.4581580460071564e-02 -1.9129069522023201e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1407 -6.1253100284375250e-05</internalNodes>
-          <leafValues>
-            8.3547137677669525e-02 -9.0619690716266632e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1408 -1.1647429782897234e-03</internalNodes>
-          <leafValues>
-            -1.7997290194034576e-01 4.0095169097185135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1409 -6.4332097768783569e-02</internalNodes>
-          <leafValues>
-            -3.8692688941955566e-01 1.7440609633922577e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1410 -1.3757969439029694e-01</internalNodes>
-          <leafValues>
-            2.2808580100536346e-01 -3.2859951257705688e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1411 7.3165339417755604e-03</internalNodes>
-          <leafValues>
-            4.2987760156393051e-02 -1.5990610420703888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1412 2.1075239405035973e-02</internalNodes>
-          <leafValues>
-            1.3760750181972980e-02 -9.7436219453811646e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1413 4.7083821147680283e-02</internalNodes>
-          <leafValues>
-            -7.1691006422042847e-02 1.0700540244579315e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1414 5.9396019205451012e-03</internalNodes>
-          <leafValues>
-            -6.3396736979484558e-02 3.8722541183233261e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1415 5.8197128772735596e-01</internalNodes>
-          <leafValues>
-            2.1600350737571716e-02 -3.7873318791389465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1416 1.6042120754718781e-02</internalNodes>
-          <leafValues>
-            -4.6681709587574005e-02 1.4364209771156311e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1417 -3.8316261023283005e-02</internalNodes>
-          <leafValues>
-            -6.2408488988876343e-01 1.0848820209503174e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1418 1.2451539933681488e-01</internalNodes>
-          <leafValues>
-            -9.1985529288649559e-03 1.1172670125961304e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1419 1.2287569791078568e-01</internalNodes>
-          <leafValues>
-            -1.3092120178043842e-02 5.2221369743347168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1420 -9.1833565384149551e-03</internalNodes>
-          <leafValues>
-            -7.5866103172302246e-02 2.5587979704141617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1421 1.6818720847368240e-02</internalNodes>
-          <leafValues>
-            -3.0961170792579651e-02 2.3137600719928741e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1422 6.6163040173705667e-05</internalNodes>
-          <leafValues>
-            -5.9390440583229065e-02 7.4203498661518097e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1423 -5.4877910763025284e-02</internalNodes>
-          <leafValues>
-            2.5981691479682922e-01 -2.6993019506335258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1424 -7.6188119128346443e-03</internalNodes>
-          <leafValues>
-            1.3379520177841187e-01 -5.5999118834733963e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1425 -2.3362420499324799e-01</internalNodes>
-          <leafValues>
-            3.2755351066589355e-01 -2.1469429135322571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1426 -1.1149320006370544e-01</internalNodes>
-          <leafValues>
-            -2.4463839828968048e-01 3.6242511123418808e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1427 -4.4157028198242188e-02</internalNodes>
-          <leafValues>
-            4.3402171134948730e-01 -1.6649100929498672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1428 -5.7168701459886506e-05</internalNodes>
-          <leafValues>
-            6.6894836723804474e-02 -5.0718188285827637e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1429 5.3646868764190003e-05</internalNodes>
-          <leafValues>
-            -8.0378301441669464e-02 8.1809766590595245e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1430 1.0595089942216873e-01</internalNodes>
-          <leafValues>
-            5.0716297701001167e-03 -6.4737159013748169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1431 8.3668403327465057e-02</internalNodes>
-          <leafValues>
-            8.6071500554680824e-03 -6.5093028545379639e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1432 8.3153052255511284e-03</internalNodes>
-          <leafValues>
-            -4.7283139079809189e-02 1.9029919803142548e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1433 -6.2146518379449844e-02</internalNodes>
-          <leafValues>
-            -1.8513560295104980e-01 4.3402440845966339e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1434 -1.5061040176078677e-03</internalNodes>
-          <leafValues>
-            -4.2554888874292374e-02 4.7270778566598892e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1435 -1.2630449607968330e-02</internalNodes>
-          <leafValues>
-            1.0056299716234207e-01 -7.0035003125667572e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1436 -7.2226561605930328e-03</internalNodes>
-          <leafValues>
-            -1.3512469828128815e-01 1.6519190743565559e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1437 3.9844110608100891e-02</internalNodes>
-          <leafValues>
-            6.1076539568603039e-03 -1.0002349615097046e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1438 5.3863292932510376e-01</internalNodes>
-          <leafValues>
-            4.2299588676542044e-04 -9.8810201883316040e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1439 -2.4347769096493721e-02</internalNodes>
-          <leafValues>
-            -9.8886072635650635e-01 4.6373298391699791e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1440 4.4827940873801708e-03</internalNodes>
-          <leafValues>
-            -5.4137490689754486e-02 1.3800579309463501e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1441 7.9640939831733704e-02</internalNodes>
-          <leafValues>
-            -5.7961471378803253e-02 1.0780200362205505e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1442 6.5154298208653927e-03</internalNodes>
-          <leafValues>
-            -9.5109693706035614e-02 7.6177991926670074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1443 6.3926346600055695e-02</internalNodes>
-          <leafValues>
-            2.2149670869112015e-02 -3.6810970306396484e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>211</maxWeakCount>
-      <stageThreshold>-1.2603249549865723e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1444 -2.2702280431985855e-02</internalNodes>
-          <leafValues>
-            3.4584361314773560e-01 -1.4961080253124237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1445 -1.1325979605317116e-02</internalNodes>
-          <leafValues>
-            9.4636216759681702e-02 -1.4820310473442078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1446 -1.0080899810418487e-03</internalNodes>
-          <leafValues>
-            1.4881299436092377e-01 -2.3232239484786987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1447 -1.0500989854335785e-01</internalNodes>
-          <leafValues>
-            -2.1537660062313080e-01 8.9450702071189880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1448 -1.2677620165050030e-02</internalNodes>
-          <leafValues>
-            2.7584138512611389e-01 -1.1488199979066849e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1449 4.9704289995133877e-03</internalNodes>
-          <leafValues>
-            4.4038921594619751e-02 -1.6276310384273529e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1450 6.1556040309369564e-03</internalNodes>
-          <leafValues>
-            7.4212923645973206e-02 -3.2477781176567078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1451 -7.2180028073489666e-03</internalNodes>
-          <leafValues>
-            4.2525339126586914e-01 -2.7641389518976212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1452 2.9266420751810074e-03</internalNodes>
-          <leafValues>
-            -5.2912838757038116e-02 3.9208140969276428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1453 7.9688094556331635e-03</internalNodes>
-          <leafValues>
-            3.3333700150251389e-02 -4.1967239975929260e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1454 4.5101311989128590e-03</internalNodes>
-          <leafValues>
-            -4.7721531242132187e-02 4.4400349259376526e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1455 -7.2346827946603298e-03</internalNodes>
-          <leafValues>
-            -4.2018109560012817e-01 5.5328268557786942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1456 5.4523041471838951e-03</internalNodes>
-          <leafValues>
-            4.2710270732641220e-02 -4.0073931217193604e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1457 1.3547390699386597e-01</internalNodes>
-          <leafValues>
-            1.3275199569761753e-02 -4.1893950104713440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1458 -2.8521999716758728e-02</internalNodes>
-          <leafValues>
-            7.1237042546272278e-02 -2.3564490675926208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1459 -6.7890807986259460e-02</internalNodes>
-          <leafValues>
-            -6.0827171802520752e-01 2.7981699531665072e-05</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1460 -2.7107769710710272e-05</internalNodes>
-          <leafValues>
-            1.0022850334644318e-01 -1.3644769787788391e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1461 -2.5962561368942261e-01</internalNodes>
-          <leafValues>
-            -1.3785040378570557e-01 2.6653099805116653e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1462 1.1885579675436020e-01</internalNodes>
-          <leafValues>
-            2.7489190921187401e-02 -5.4295271635055542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1463 5.6852251291275024e-02</internalNodes>
-          <leafValues>
-            -1.1255219578742981e-02 3.8339531421661377e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1464 4.1569471359252930e-02</internalNodes>
-          <leafValues>
-            -4.1771259158849716e-02 3.4204569458961487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1465 4.4139921665191650e-02</internalNodes>
-          <leafValues>
-            -2.2549359127879143e-02 4.6690988540649414e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1466 1.0635829716920853e-01</internalNodes>
-          <leafValues>
-            2.9710769653320312e-02 -4.5093208551406860e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1467 -8.2869287580251694e-03</internalNodes>
-          <leafValues>
-            -1.2223249673843384e-01 5.3247738629579544e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1468 3.6731671541929245e-02</internalNodes>
-          <leafValues>
-            4.2036790400743484e-02 -4.4834709167480469e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1469 -5.7765528559684753e-02</internalNodes>
-          <leafValues>
-            -5.4591369628906250e-01 7.4861990287899971e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1470 1.7487849295139313e-01</internalNodes>
-          <leafValues>
-            2.8172209858894348e-02 -4.3244078755378723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1471 -2.5779709176276810e-05</internalNodes>
-          <leafValues>
-            8.4961481392383575e-02 -9.3616262078285217e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1472 4.4103060645284131e-05</internalNodes>
-          <leafValues>
-            -1.5745340287685394e-01 7.8559979796409607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1473 -2.5306469760835171e-03</internalNodes>
-          <leafValues>
-            -1.8604919314384460e-01 1.3255439698696136e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1474 -2.5649809686001390e-05</internalNodes>
-          <leafValues>
-            1.0800860077142715e-01 -1.1497180163860321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1475 -5.4274487495422363e-01</internalNodes>
-          <leafValues>
-            -6.5146768093109131e-01 1.9872210919857025e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1476 1.0453820228576660e-02</internalNodes>
-          <leafValues>
-            -5.7684049010276794e-02 2.1809279918670654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1477 -2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            7.0307686924934387e-02 -6.8771660327911377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1478 -3.8687910884618759e-02</internalNodes>
-          <leafValues>
-            -2.3570249974727631e-01 5.9372939169406891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1479 1.4677809551358223e-02</internalNodes>
-          <leafValues>
-            -4.5802700333297253e-03 6.6445422172546387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1480 -1.0180200450122356e-02</internalNodes>
-          <leafValues>
-            5.2202922105789185e-01 -2.3886220529675484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1481 2.5779709176276810e-05</internalNodes>
-          <leafValues>
-            -7.5542762875556946e-02 1.0763020068407059e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1482 -2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            1.1347659677267075e-01 -1.1764179915189743e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1483 -1.1001049540936947e-02</internalNodes>
-          <leafValues>
-            -4.1635859012603760e-01 2.9155520722270012e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1484 -1.0040359571576118e-02</internalNodes>
-          <leafValues>
-            5.0152337551116943e-01 -2.4473249912261963e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1485 1.1051800101995468e-02</internalNodes>
-          <leafValues>
-            3.7960179150104523e-02 -2.9772630333900452e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1486 -1.2089540250599384e-02</internalNodes>
-          <leafValues>
-            -5.1634800434112549e-01 2.1521920338273048e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1487 -8.4410563111305237e-02</internalNodes>
-          <leafValues>
-            4.9133801460266113e-01 -1.4603810384869576e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1488 2.2714000195264816e-02</internalNodes>
-          <leafValues>
-            -4.8863139003515244e-02 2.3572869598865509e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1489 2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            -6.4245767891407013e-02 6.5696552395820618e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1490 2.5649809686001390e-05</internalNodes>
-          <leafValues>
-            -1.0076279938220978e-01 1.0067179799079895e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1491 1.0682299733161926e-02</internalNodes>
-          <leafValues>
-            1.1979729868471622e-02 -4.7588628530502319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1492 1.4251710474491119e-01</internalNodes>
-          <leafValues>
-            2.6978740468621254e-02 -3.5890379548072815e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1493 2.6178720872849226e-05</internalNodes>
-          <leafValues>
-            -5.1943808794021606e-02 5.9698838740587234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1494 1.5015379758551717e-03</internalNodes>
-          <leafValues>
-            4.2682919651269913e-02 -2.4742330610752106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1495 2.7750380468205549e-05</internalNodes>
-          <leafValues>
-            -6.5969876945018768e-02 9.5235317945480347e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1496 -2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            9.1440632939338684e-02 -1.1401320248842239e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1497 1.8318339716643095e-03</internalNodes>
-          <leafValues>
-            -3.5802870988845825e-02 2.8000190854072571e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1498 -2.6216499463771470e-05</internalNodes>
-          <leafValues>
-            1.1927170306444168e-01 -9.0051122009754181e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1499 1.8415799364447594e-02</internalNodes>
-          <leafValues>
-            2.8677040711045265e-02 -3.4597221016883850e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1500 -2.5649809686001390e-05</internalNodes>
-          <leafValues>
-            1.0555200278759003e-01 -9.3961820006370544e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1501 -4.4283028692007065e-02</internalNodes>
-          <leafValues>
-            -3.9377251267433167e-01 2.4995140731334686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1502 -3.7492141127586365e-02</internalNodes>
-          <leafValues>
-            4.0750551223754883e-01 -2.4686330929398537e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1503 -2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            5.9588670730590820e-02 -4.2587179690599442e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1504 -2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            1.1652469635009766e-01 -8.1122256815433502e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1505 -3.9012550842016935e-03</internalNodes>
-          <leafValues>
-            -2.5430038571357727e-01 3.8077041506767273e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1506 -2.6903450489044189e-03</internalNodes>
-          <leafValues>
-            3.0911579728126526e-01 -3.1062390655279160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1507 -7.0722219534218311e-03</internalNodes>
-          <leafValues>
-            -2.1491000056266785e-01 3.0251279473304749e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1508 2.1917349658906460e-03</internalNodes>
-          <leafValues>
-            5.5682230740785599e-02 -1.6676320135593414e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1509 2.5904899302986450e-05</internalNodes>
-          <leafValues>
-            -1.2242270261049271e-01 8.2701347768306732e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1510 -8.6123133078217506e-03</internalNodes>
-          <leafValues>
-            1.5256710350513458e-01 -7.0295087993144989e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1511 -3.2312501221895218e-02</internalNodes>
-          <leafValues>
-            1.0563810169696808e-01 -8.8757291436195374e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1512 -2.4041660130023956e-01</internalNodes>
-          <leafValues>
-            -5.6874710321426392e-01 1.5582700259983540e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1513 -3.6818000953644514e-03</internalNodes>
-          <leafValues>
-            3.9008429646492004e-01 -2.4482680484652519e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1514 -3.7560980767011642e-02</internalNodes>
-          <leafValues>
-            -5.9190589189529419e-01 1.4883680269122124e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1515 -2.6046231389045715e-01</internalNodes>
-          <leafValues>
-            -8.0789750814437866e-01 8.0495169386267662e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1516 2.2003079950809479e-01</internalNodes>
-          <leafValues>
-            1.1459389701485634e-02 -6.6569620370864868e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1517 1.4207080006599426e-02</internalNodes>
-          <leafValues>
-            1.1487069539725780e-02 -4.3284940719604492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1518 1.9708760082721710e-03</internalNodes>
-          <leafValues>
-            -3.1346779316663742e-02 2.8304418921470642e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1519 -1.6858950257301331e-02</internalNodes>
-          <leafValues>
-            -6.4982718229293823e-01 9.0222535654902458e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1520 1.1876899749040604e-01</internalNodes>
-          <leafValues>
-            2.9948050156235695e-02 -2.9692101478576660e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1521 3.5489429719746113e-03</internalNodes>
-          <leafValues>
-            2.2447990253567696e-02 -1.1885970085859299e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1522 3.2591039780527353e-03</internalNodes>
-          <leafValues>
-            4.3978188186883926e-02 -2.0008519291877747e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1523 -6.9489958696067333e-03</internalNodes>
-          <leafValues>
-            1.0979989916086197e-01 -5.1372870802879333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1524 1.1651299893856049e-02</internalNodes>
-          <leafValues>
-            -3.9162278175354004e-02 2.3111459612846375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1525 -2.0093740895390511e-03</internalNodes>
-          <leafValues>
-            6.5508507192134857e-02 -3.6176491528749466e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1526 4.4954619370400906e-03</internalNodes>
-          <leafValues>
-            -7.4295833706855774e-02 1.4806370437145233e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1527 4.0165609680116177e-03</internalNodes>
-          <leafValues>
-            1.9205560907721519e-02 -1.3202959299087524e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1528 5.1109711639583111e-03</internalNodes>
-          <leafValues>
-            3.0545530840754509e-02 -3.2131591439247131e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1529 2.6829841081053019e-03</internalNodes>
-          <leafValues>
-            2.5536099448800087e-02 -1.1544889956712723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1530 -3.2579500693827868e-03</internalNodes>
-          <leafValues>
-            -2.5272831320762634e-01 3.9438471198081970e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1531 -1.9859049934893847e-03</internalNodes>
-          <leafValues>
-            2.6658049225807190e-01 -4.6847358345985413e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1532 -1.2540949881076813e-01</internalNodes>
-          <leafValues>
-            -4.0570110082626343e-01 2.3068020120263100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1533 5.4464139975607395e-03</internalNodes>
-          <leafValues>
-            -3.3851519227027893e-02 1.0910320281982422e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1534 -2.9129069298505783e-02</internalNodes>
-          <leafValues>
-            8.2942448556423187e-02 -1.0390459746122360e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1535 -5.3342789411544800e-02</internalNodes>
-          <leafValues>
-            1.4234119653701782e-01 -6.3767828047275543e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1536 -6.9826036691665649e-02</internalNodes>
-          <leafValues>
-            -2.9960519075393677e-01 3.8142379373311996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1537 1.0430120164528489e-03</internalNodes>
-          <leafValues>
-            -4.8670019954442978e-02 2.2043199837207794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1538 4.8559759743511677e-03</internalNodes>
-          <leafValues>
-            -9.1000363230705261e-02 9.7604036331176758e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1539 -5.6559829972684383e-03</internalNodes>
-          <leafValues>
-            5.0467990338802338e-02 -8.2895793020725250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1540 -3.9691910147666931e-01</internalNodes>
-          <leafValues>
-            -5.9703147411346436e-01 1.7244290560483932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1541 -5.4687079042196274e-02</internalNodes>
-          <leafValues>
-            3.9003100991249084e-01 -2.5155629962682724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1542 -6.4253779128193855e-03</internalNodes>
-          <leafValues>
-            -2.5506249070167542e-01 3.9406619966030121e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1543 8.5719041526317596e-03</internalNodes>
-          <leafValues>
-            1.8664859235286713e-02 -2.2203260660171509e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1544 1.2086849892511964e-03</internalNodes>
-          <leafValues>
-            -7.2148896753787994e-02 1.1844079941511154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1545 -1.3033949770033360e-02</internalNodes>
-          <leafValues>
-            2.0586760342121124e-01 -1.5820149332284927e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1546 7.2425887919962406e-03</internalNodes>
-          <leafValues>
-            -6.3072256743907928e-02 1.4706359803676605e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1547 -1.5267370268702507e-02</internalNodes>
-          <leafValues>
-            -2.6799020171165466e-01 6.9345328956842422e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1548 5.9866169467568398e-03</internalNodes>
-          <leafValues>
-            3.3543970435857773e-02 -2.6078468561172485e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1549 -1.0885690338909626e-02</internalNodes>
-          <leafValues>
-            8.5525132715702057e-02 -2.1214239299297333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1550 4.8979911953210831e-03</internalNodes>
-          <leafValues>
-            -4.5136060565710068e-02 2.2412009537220001e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1551 -1.9256390631198883e-01</internalNodes>
-          <leafValues>
-            -6.3481587171554565e-01 4.2262570932507515e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1552 1.0860689729452133e-01</internalNodes>
-          <leafValues>
-            1.7091739922761917e-02 -5.4510730504989624e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1553 -5.4836701601743698e-02</internalNodes>
-          <leafValues>
-            -3.5489219427108765e-01 4.5531531795859337e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1554 5.8792168274521828e-03</internalNodes>
-          <leafValues>
-            1.5520109795033932e-02 -5.4079991579055786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1555 7.5071100145578384e-03</internalNodes>
-          <leafValues>
-            -1.5854269266128540e-02 6.6651731729507446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1556 1.6902120783925056e-02</internalNodes>
-          <leafValues>
-            2.2205380722880363e-02 -3.7370339035987854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1557 -3.1124811357585713e-05</internalNodes>
-          <leafValues>
-            3.3728368580341339e-02 -6.2124319374561310e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1558 -7.8268267214298248e-02</internalNodes>
-          <leafValues>
-            4.3044888973236084e-01 -1.9318610429763794e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1559 2.2108739241957664e-02</internalNodes>
-          <leafValues>
-            1.3979909941554070e-02 -4.2325040698051453e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1560 5.4141050204634666e-03</internalNodes>
-          <leafValues>
-            4.2009621858596802e-02 -1.8368819355964661e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1561 2.6600460842018947e-05</internalNodes>
-          <leafValues>
-            -5.3144950419664383e-02 6.6343963146209717e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1562 2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            -8.5169032216072083e-02 1.0345680266618729e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1563 9.6517298370599747e-03</internalNodes>
-          <leafValues>
-            -6.7758128046989441e-02 1.2381830066442490e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1564 2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            -1.0852000117301941e-01 8.2693062722682953e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1565 2.5218860246241093e-03</internalNodes>
-          <leafValues>
-            -1.0458250343799591e-01 6.6328182816505432e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1566 -5.2996139973402023e-02</internalNodes>
-          <leafValues>
-            2.3921950161457062e-01 -4.1141789406538010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1567 2.9717630241066217e-03</internalNodes>
-          <leafValues>
-            3.5355281084775925e-02 -1.5361009538173676e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1568 -5.0528207793831825e-03</internalNodes>
-          <leafValues>
-            -2.8384080529212952e-01 2.9197370633482933e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1569 -1.4023650437593460e-03</internalNodes>
-          <leafValues>
-            1.9387529790401459e-01 -2.3465460166335106e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1570 2.6361160053056665e-05</internalNodes>
-          <leafValues>
-            -1.3175390660762787e-01 6.1764400452375412e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1571 5.7318392209708691e-03</internalNodes>
-          <leafValues>
-            -3.7673819810152054e-02 1.4864000678062439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1572 4.6025160700082779e-03</internalNodes>
-          <leafValues>
-            -6.0082349926233292e-02 1.4757469296455383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1573 4.9826940521597862e-03</internalNodes>
-          <leafValues>
-            5.0217468291521072e-02 -1.7708259820938110e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1574 -7.3296032845973969e-02</internalNodes>
-          <leafValues>
-            -4.9743050336837769e-01 1.6706680878996849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1575 -1.4238869771361351e-02</internalNodes>
-          <leafValues>
-            5.2175557613372803e-01 -1.1300929822027683e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1576 1.8155459314584732e-02</internalNodes>
-          <leafValues>
-            -3.8824878633022308e-02 2.0927000045776367e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1577 -2.5779709176276810e-05</internalNodes>
-          <leafValues>
-            6.4905673265457153e-02 -7.3861442506313324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1578 2.9359169275267050e-05</internalNodes>
-          <leafValues>
-            -7.5759023427963257e-02 1.1070480197668076e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1579 2.5904899302986450e-05</internalNodes>
-          <leafValues>
-            -5.6690879166126251e-02 7.0565029978752136e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1580 2.5659629609435797e-03</internalNodes>
-          <leafValues>
-            -2.2681709378957748e-02 3.2642030715942383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1581 -4.3134070932865143e-02</internalNodes>
-          <leafValues>
-            9.1313943266868591e-02 -7.7684916555881500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1582 1.1505100131034851e-01</internalNodes>
-          <leafValues>
-            -5.3883530199527740e-02 1.7382779717445374e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1583 3.7683431059122086e-02</internalNodes>
-          <leafValues>
-            1.1911179870367050e-02 -1.6320049762725830e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1584 2.8705120086669922e-02</internalNodes>
-          <leafValues>
-            2.3064490407705307e-02 -3.4346461296081543e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1585 7.4174538254737854e-02</internalNodes>
-          <leafValues>
-            -3.6453459411859512e-02 2.2265499830245972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1586 3.8726661354303360e-02</internalNodes>
-          <leafValues>
-            -8.6111679673194885e-02 9.4164192676544189e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1587 -4.1428101249039173e-03</internalNodes>
-          <leafValues>
-            -1.2223830074071884e-01 3.4176569432020187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1588 2.4673599749803543e-02</internalNodes>
-          <leafValues>
-            5.6583188474178314e-02 -1.4888830482959747e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1589 9.9808704107999802e-03</internalNodes>
-          <leafValues>
-            -1.9759509712457657e-02 3.0300268530845642e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1590 -6.6217122366651893e-05</internalNodes>
-          <leafValues>
-            8.9724272489547729e-02 -8.9633807539939880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1591 1.9440250471234322e-03</internalNodes>
-          <leafValues>
-            4.5923989266157150e-02 -1.6087460517883301e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1592 -9.9218348041176796e-03</internalNodes>
-          <leafValues>
-            -3.3827519416809082e-01 2.3345960304141045e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1593 2.7032099751522765e-05</internalNodes>
-          <leafValues>
-            -7.1613729000091553e-02 1.4374250173568726e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1594 -1.1575380340218544e-02</internalNodes>
-          <leafValues>
-            7.2989538311958313e-02 -1.1206659674644470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1595 3.8227710127830505e-01</internalNodes>
-          <leafValues>
-            4.3869050568901002e-04 -9.6936649084091187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1596 2.5604510679841042e-02</internalNodes>
-          <leafValues>
-            -5.3209688514471054e-02 1.6056999564170837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1597 6.5232798457145691e-02</internalNodes>
-          <leafValues>
-            -5.0901030190289021e-03 1.0526590049266815e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1598 -7.6533563435077667e-02</internalNodes>
-          <leafValues>
-            -2.7622249722480774e-01 2.9837079346179962e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1599 -3.0668321414850652e-05</internalNodes>
-          <leafValues>
-            4.9761619418859482e-02 -6.4698956906795502e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1600 -7.1437079459428787e-03</internalNodes>
-          <leafValues>
-            4.2741951346397400e-01 -1.7721550539135933e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1601 -7.0699103176593781e-02</internalNodes>
-          <leafValues>
-            -3.1640189886093140e-01 2.4211840704083443e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1602 8.3971813321113586e-02</internalNodes>
-          <leafValues>
-            7.6198792085051537e-03 -8.0655181407928467e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1603 4.9757468700408936e-01</internalNodes>
-          <leafValues>
-            6.2387259677052498e-03 -8.3056390285491943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1604 5.4929931648075581e-03</internalNodes>
-          <leafValues>
-            2.6602910831570625e-02 -2.2599579393863678e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1605 -2.7536999434232712e-02</internalNodes>
-          <leafValues>
-            1.8433550000190735e-01 -7.0537109859287739e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1606 4.5211901888251305e-03</internalNodes>
-          <leafValues>
-            -5.4292399436235428e-02 1.2545329332351685e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1607 3.8641680032014847e-02</internalNodes>
-          <leafValues>
-            8.4282690659165382e-03 -2.1961739659309387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1608 -2.1654170006513596e-02</internalNodes>
-          <leafValues>
-            -2.8082931041717529e-01 2.4411179125308990e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1609 -2.9021130874752998e-02</internalNodes>
-          <leafValues>
-            -3.1314170360565186e-01 2.2386759519577026e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1610 -4.4424049556255341e-03</internalNodes>
-          <leafValues>
-            6.4938491582870483e-01 -1.1466369964182377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1611 1.4012949541211128e-02</internalNodes>
-          <leafValues>
-            -5.6059911847114563e-02 1.2263079732656479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1612 7.5773880816996098e-03</internalNodes>
-          <leafValues>
-            -7.3808819055557251e-02 9.7556889057159424e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1613 -2.6077621150761843e-03</internalNodes>
-          <leafValues>
-            -9.1106370091438293e-02 2.9852710664272308e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1614 2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            -7.3772080242633820e-02 9.1605342924594879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1615 2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            -6.9059409201145172e-02 1.3202320039272308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1616 -5.7401981204748154e-02</internalNodes>
-          <leafValues>
-            1.4494429528713226e-01 -6.0069218277931213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1617 -9.3912649899721146e-03</internalNodes>
-          <leafValues>
-            5.0085651874542236e-01 -4.1706929914653301e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1618 2.6128649551537819e-05</internalNodes>
-          <leafValues>
-            -7.6227553188800812e-02 1.2607720494270325e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1619 5.0317928194999695e-02</internalNodes>
-          <leafValues>
-            1.0360590182244778e-02 -3.1897589564323425e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1620 5.1848609000444412e-03</internalNodes>
-          <leafValues>
-            -6.4724229276180267e-02 1.2341039627790451e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1621 -3.3910661004483700e-03</internalNodes>
-          <leafValues>
-            -1.0288400202989578e-01 4.4040981680154800e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1622 6.0285101644694805e-03</internalNodes>
-          <leafValues>
-            3.7052210420370102e-02 -2.1273019909858704e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1623 -2.4773539975285530e-02</internalNodes>
-          <leafValues>
-            3.0380809307098389e-01 -1.4165430329740047e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1624 1.6291119158267975e-02</internalNodes>
-          <leafValues>
-            -6.7963749170303345e-02 1.0207100212574005e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1625 8.6468607187271118e-02</internalNodes>
-          <leafValues>
-            4.0547042153775692e-03 -4.7402960062026978e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1626 3.6333149764686823e-03</internalNodes>
-          <leafValues>
-            -3.5381391644477844e-02 2.0167960226535797e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1627 1.8694689497351646e-03</internalNodes>
-          <leafValues>
-            2.2365350276231766e-02 -5.7087961584329605e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1628 -3.7068868987262249e-03</internalNodes>
-          <leafValues>
-            -1.6035629808902740e-01 4.5690719038248062e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1629 -3.0651168344775215e-05</internalNodes>
-          <leafValues>
-            3.5478990525007248e-02 -3.4492049366235733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1630 -4.0897028520703316e-03</internalNodes>
-          <leafValues>
-            -2.6812940835952759e-01 2.7717530727386475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1631 -9.0142004191875458e-03</internalNodes>
-          <leafValues>
-            1.2767490744590759e-01 -2.5871720165014267e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1632 1.0104560293257236e-02</internalNodes>
-          <leafValues>
-            4.1761290282011032e-02 -1.6333200037479401e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1633 2.3208620026707649e-02</internalNodes>
-          <leafValues>
-            -1.5451289713382721e-02 2.6844790577888489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1634 1.1345080286264420e-01</internalNodes>
-          <leafValues>
-            -7.4470281600952148e-02 1.1021339893341064e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1635 -1.1667109793052077e-03</internalNodes>
-          <leafValues>
-            -6.8658977746963501e-02 9.7963117063045502e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1636 6.1848782934248447e-05</internalNodes>
-          <leafValues>
-            -8.0737061798572540e-02 8.1719793379306793e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1637 2.7750380468205549e-05</internalNodes>
-          <leafValues>
-            -8.1860013306140900e-02 8.6313776671886444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1638 2.7259990019956604e-05</internalNodes>
-          <leafValues>
-            -8.0956377089023590e-02 8.2103863358497620e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1639 -2.9359169275267050e-05</internalNodes>
-          <leafValues>
-            1.0450900346040726e-01 -7.2645798325538635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1640 -2.5649809686001390e-05</internalNodes>
-          <leafValues>
-            1.0629419982433319e-01 -6.7989073693752289e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1641 -1.6393380239605904e-02</internalNodes>
-          <leafValues>
-            -1.7156420648097992e-01 2.7696609497070312e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1642 -2.3359790444374084e-02</internalNodes>
-          <leafValues>
-            3.8850760459899902e-01 -1.6645319759845734e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1643 2.2364470642060041e-03</internalNodes>
-          <leafValues>
-            -1.7200240865349770e-02 2.1048629283905029e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1644 -1.2738189660012722e-02</internalNodes>
-          <leafValues>
-            -2.5325098633766174e-01 2.8455469757318497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1645 1.3035169802606106e-02</internalNodes>
-          <leafValues>
-            -3.6639489233493805e-02 5.0902638584375381e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1646 2.8332999136182480e-05</internalNodes>
-          <leafValues>
-            -8.3791807293891907e-02 8.3851858973503113e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1647 1.2336200103163719e-02</internalNodes>
-          <leafValues>
-            -5.1417160779237747e-02 5.3230680525302887e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1648 -3.2792810350656509e-02</internalNodes>
-          <leafValues>
-            2.3273399472236633e-01 -3.7388250231742859e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1649 2.0052760373800993e-03</internalNodes>
-          <leafValues>
-            2.7813620865345001e-02 -2.9500991106033325e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1650 1.3906819745898247e-02</internalNodes>
-          <leafValues>
-            -5.4373260587453842e-02 1.2525920569896698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1651 2.1737889945507050e-01</internalNodes>
-          <leafValues>
-            4.1637279093265533e-02 -1.7800329625606537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1652 6.7987501621246338e-01</internalNodes>
-          <leafValues>
-            -1.8981909379363060e-02 3.5123589634895325e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1653 -4.9756500869989395e-02</internalNodes>
-          <leafValues>
-            -8.0023968219757080e-01 9.7657497972249985e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1654 4.5796870253980160e-03</internalNodes>
-          <leafValues>
-            2.1078180521726608e-02 -2.8444689512252808e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>289</maxWeakCount>
-      <stageThreshold>-1.2427099943161011e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1655 1.0514260083436966e-01</internalNodes>
-          <leafValues>
-            -1.0304620116949081e-01 5.2641832828521729e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1656 2.1874869242310524e-02</internalNodes>
-          <leafValues>
-            -1.1491969972848892e-01 8.7951011955738068e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1657 2.5913900136947632e-01</internalNodes>
-          <leafValues>
-            -1.8469070710125379e-05 -7.8960552978515625e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1658 -8.2329362630844116e-03</internalNodes>
-          <leafValues>
-            1.2152519822120667e-01 -2.1997219324111938e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1659 -7.4537489563226700e-03</internalNodes>
-          <leafValues>
-            1.1699049919843674e-01 -1.9874709844589233e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1660 5.0783991813659668e-02</internalNodes>
-          <leafValues>
-            3.4344758838415146e-02 -1.9979280233383179e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1661 -5.3065801039338112e-03</internalNodes>
-          <leafValues>
-            1.0219410061836243e-01 -2.3248760402202606e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1662 -1.9852140918374062e-02</internalNodes>
-          <leafValues>
-            -5.7735747098922729e-01 1.0748630389571190e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1663 2.5102009996771812e-02</internalNodes>
-          <leafValues>
-            3.3516518771648407e-02 -5.1891112327575684e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1664 3.9596240967512131e-03</internalNodes>
-          <leafValues>
-            -1.5465679764747620e-01 1.0011819750070572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1665 -5.9100659564137459e-03</internalNodes>
-          <leafValues>
-            -3.3589190244674683e-01 6.0344338417053223e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1666 9.0328548103570938e-03</internalNodes>
-          <leafValues>
-            -1.0467969812452793e-02 -3.5610088706016541e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1667 8.5141025483608246e-03</internalNodes>
-          <leafValues>
-            3.3426739275455475e-02 -4.1499960422515869e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1668 1.4581300318241119e-02</internalNodes>
-          <leafValues>
-            -1.1947499960660934e-01 1.0586699843406677e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1669 1.1524210125207901e-01</internalNodes>
-          <leafValues>
-            -2.3419320583343506e-02 3.9515259861946106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1670 -2.1557710133492947e-03</internalNodes>
-          <leafValues>
-            1.1369600147008896e-01 -1.1491960287094116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1671 -1.3152989745140076e-01</internalNodes>
-          <leafValues>
-            -4.0761440992355347e-01 2.8095500543713570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1672 8.7718963623046875e-02</internalNodes>
-          <leafValues>
-            1.1915800161659718e-02 -6.2395787239074707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1673 5.1810648292303085e-03</internalNodes>
-          <leafValues>
-            -1.0937149822711945e-01 1.1196020245552063e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1674 -3.5339239984750748e-03</internalNodes>
-          <leafValues>
-            1.2084960192441940e-01 -5.4252031259238720e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1675 1.1804329697042704e-03</internalNodes>
-          <leafValues>
-            -1.2307350337505341e-01 1.2815740704536438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1676 5.6288531050086021e-03</internalNodes>
-          <leafValues>
-            3.1606510281562805e-02 -2.8103598952293396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1677 9.9457567557692528e-04</internalNodes>
-          <leafValues>
-            -6.5978333353996277e-02 1.4891250431537628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1678 -3.7337269168347120e-03</internalNodes>
-          <leafValues>
-            5.9899568557739258e-02 -1.8003620207309723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1679 1.0250649938825518e-04</internalNodes>
-          <leafValues>
-            -8.6224079132080078e-02 1.3904710114002228e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1680 4.1721882298588753e-03</internalNodes>
-          <leafValues>
-            -2.4659799411892891e-02 7.9436056315898895e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1681 4.8526689410209656e-02</internalNodes>
-          <leafValues>
-            3.8152199238538742e-02 -3.3759069442749023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1682 8.4143159911036491e-03</internalNodes>
-          <leafValues>
-            5.1525980234146118e-03 -1.6511310636997223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1683 -3.5702888853847980e-03</internalNodes>
-          <leafValues>
-            -2.3562599718570709e-01 4.1760321706533432e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1684 2.2256400436162949e-02</internalNodes>
-          <leafValues>
-            -2.8121219947934151e-02 1.3493560254573822e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1685 3.8191271014511585e-03</internalNodes>
-          <leafValues>
-            -1.1853609979152679e-01 8.4350273013114929e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1686 1.4533999562263489e-01</internalNodes>
-          <leafValues>
-            -2.8631420806050301e-02 3.5683318972587585e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1687 -8.9769659098237753e-04</internalNodes>
-          <leafValues>
-            5.4901029914617538e-02 -1.7856329679489136e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1688 4.1682600975036621e-02</internalNodes>
-          <leafValues>
-            -1.8363239243626595e-02 1.6168589890003204e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1689 5.0139758735895157e-02</internalNodes>
-          <leafValues>
-            -4.4928468763828278e-02 2.1465340256690979e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1690 3.0929069034755230e-03</internalNodes>
-          <leafValues>
-            3.0171500518918037e-02 -3.5135638713836670e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1691 1.8156090751290321e-02</internalNodes>
-          <leafValues>
-            -5.5261798202991486e-02 1.9471189379692078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1692 2.0246930420398712e-02</internalNodes>
-          <leafValues>
-            3.7365719676017761e-02 -3.0078509449958801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1693 1.1716090142726898e-02</internalNodes>
-          <leafValues>
-            -6.1458099633455276e-02 1.6397699713706970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1694 -8.1182513386011124e-03</internalNodes>
-          <leafValues>
-            -8.8726110756397247e-02 3.2724000513553619e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1695 -1.4681640267372131e-01</internalNodes>
-          <leafValues>
-            -4.9301609396934509e-01 2.0158279687166214e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1696 -5.2891620434820652e-03</internalNodes>
-          <leafValues>
-            -2.5142368674278259e-01 9.5387678593397141e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1697 -1.4862219803035259e-02</internalNodes>
-          <leafValues>
-            2.5943711400032043e-01 -3.1378541141748428e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1698 -1.7715459689497948e-02</internalNodes>
-          <leafValues>
-            -5.1138341426849365e-01 7.5401309877634048e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1699 -9.5196522306650877e-04</internalNodes>
-          <leafValues>
-            6.9236308336257935e-02 -1.2581700086593628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1700 6.6216342151165009e-02</internalNodes>
-          <leafValues>
-            -9.8208645358681679e-03 3.6082351207733154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1701 8.2799885421991348e-03</internalNodes>
-          <leafValues>
-            -7.4818223714828491e-02 1.5120029449462891e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1702 1.2625900097191334e-02</internalNodes>
-          <leafValues>
-            6.2517106533050537e-02 -1.5846930444240570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1703 -5.0610590726137161e-02</internalNodes>
-          <leafValues>
-            4.3044748902320862e-01 -1.9521590322256088e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1704 6.4415240287780762e-01</internalNodes>
-          <leafValues>
-            1.9606480374932289e-02 -3.7122789025306702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1705 6.2919452786445618e-02</internalNodes>
-          <leafValues>
-            -1.2445899844169617e-01 6.8127602338790894e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1706 1.5886759385466576e-02</internalNodes>
-          <leafValues>
-            3.7582379300147295e-03 -2.5132799148559570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1707 -2.3676711134612560e-03</internalNodes>
-          <leafValues>
-            -1.8140539526939392e-01 4.5303210616111755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1708 2.5242239236831665e-02</internalNodes>
-          <leafValues>
-            1.6800789162516594e-02 -3.1515631079673767e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1709 1.3737349770963192e-02</internalNodes>
-          <leafValues>
-            -3.2908398658037186e-02 2.3093259334564209e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1710 -2.1248359698802233e-03</internalNodes>
-          <leafValues>
-            6.4555563032627106e-02 -1.4124630391597748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1711 -6.0910829342901707e-03</internalNodes>
-          <leafValues>
-            -4.6051791310310364e-01 1.6628300771117210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1712 4.0456880815327168e-03</internalNodes>
-          <leafValues>
-            8.3615174517035484e-03 -2.6965349912643433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1713 -3.4469161182641983e-02</internalNodes>
-          <leafValues>
-            2.1582040190696716e-01 -3.4924760460853577e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1714 8.9153727458324283e-05</internalNodes>
-          <leafValues>
-            -5.1043938845396042e-02 3.4690521657466888e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1715 -6.6213719546794891e-03</internalNodes>
-          <leafValues>
-            -4.1585859656333923e-01 1.9391119480133057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1716 1.3638250529766083e-01</internalNodes>
-          <leafValues>
-            -4.4547390192747116e-02 1.7608410120010376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1717 2.5193500332534313e-03</internalNodes>
-          <leafValues>
-            -9.0518496930599213e-02 8.7540969252586365e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1718 -7.8399538993835449e-02</internalNodes>
-          <leafValues>
-            2.6488780975341797e-01 -3.2434631139039993e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1719 7.1002319455146790e-03</internalNodes>
-          <leafValues>
-            -1.1403769999742508e-01 1.0402719676494598e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1720 -6.2689207494258881e-02</internalNodes>
-          <leafValues>
-            -5.6851968169212341e-02 1.4763230457901955e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1721 6.9820493459701538e-02</internalNodes>
-          <leafValues>
-            1.6728859394788742e-02 -5.0399231910705566e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1722 1.0238329879939556e-02</internalNodes>
-          <leafValues>
-            -2.8636269271373749e-02 1.8522030115127563e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1723 -1.4994280412793159e-02</internalNodes>
-          <leafValues>
-            2.2429679334163666e-01 -3.3266838639974594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1724 5.2933390252292156e-03</internalNodes>
-          <leafValues>
-            2.9912209138274193e-02 -2.1737770736217499e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1725 8.0084912478923798e-03</internalNodes>
-          <leafValues>
-            3.4174129366874695e-02 -2.6237648725509644e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1726 1.1461140215396881e-01</internalNodes>
-          <leafValues>
-            -2.4488439783453941e-02 9.7091667354106903e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1727 -5.2127178758382797e-02</internalNodes>
-          <leafValues>
-            -6.4139938354492188e-01 1.1557060293853283e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1728 7.4813142418861389e-02</internalNodes>
-          <leafValues>
-            -5.0265830010175705e-02 5.0224021077156067e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1729 -1.9123209640383720e-02</internalNodes>
-          <leafValues>
-            -3.1091290712356567e-01 2.2727809846401215e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1730 5.4096881300210953e-02</internalNodes>
-          <leafValues>
-            -9.0643512085080147e-03 2.5074291229248047e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1731 -2.5658370926976204e-02</internalNodes>
-          <leafValues>
-            2.1216529607772827e-01 -3.5177871584892273e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1732 1.5096050500869751e-01</internalNodes>
-          <leafValues>
-            1.8668990582227707e-02 -2.1598240733146667e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1733 1.1122240126132965e-01</internalNodes>
-          <leafValues>
-            3.4245200455188751e-02 -2.1573379635810852e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1734 6.0547110479092225e-05</internalNodes>
-          <leafValues>
-            -3.7213701754808426e-02 3.7215270102024078e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1735 5.8619431219995022e-03</internalNodes>
-          <leafValues>
-            -7.7396132051944733e-02 9.3063041567802429e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1736 -3.4194190055131912e-02</internalNodes>
-          <leafValues>
-            3.4479939937591553e-01 -3.3559378236532211e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1737 -7.2817560285329819e-03</internalNodes>
-          <leafValues>
-            -2.9600289463996887e-01 2.6088409125804901e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1738 1.0952579788863659e-02</internalNodes>
-          <leafValues>
-            -5.8721199631690979e-02 1.3843379914760590e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1739 8.1078127026557922e-02</internalNodes>
-          <leafValues>
-            -7.2938360273838043e-02 9.6455402672290802e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1740 1.0665360093116760e-01</internalNodes>
-          <leafValues>
-            -1.2848479673266411e-02 1.8970890343189240e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1741 -6.8527236580848694e-02</internalNodes>
-          <leafValues>
-            -3.2469791173934937e-01 2.3436879739165306e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1742 3.6735620349645615e-02</internalNodes>
-          <leafValues>
-            -5.8335401117801666e-02 8.4354646503925323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1743 8.4685698151588440e-02</internalNodes>
-          <leafValues>
-            -6.4503356814384460e-02 1.6065360605716705e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1744 3.6365711130201817e-03</internalNodes>
-          <leafValues>
-            -4.9595098942518234e-02 1.7173859477043152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1745 -4.8055797815322876e-03</internalNodes>
-          <leafValues>
-            -2.7324178814888000e-01 2.7532469481229782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1746 -9.6100764349102974e-03</internalNodes>
-          <leafValues>
-            -2.3277230560779572e-01 2.0290989428758621e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1747 7.8186683356761932e-02</internalNodes>
-          <leafValues>
-            1.1925170198082924e-02 -5.6188392639160156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1748 7.4945122003555298e-02</internalNodes>
-          <leafValues>
-            2.2771470248699188e-03 -6.7497521638870239e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1749 -3.6618590354919434e-02</internalNodes>
-          <leafValues>
-            1.9563549757003784e-01 -4.4303759932518005e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1750 2.5921240448951721e-03</internalNodes>
-          <leafValues>
-            4.1194058954715729e-02 -1.1646830290555954e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1751 6.7376391962170601e-03</internalNodes>
-          <leafValues>
-            3.1075129285454750e-02 -2.5548139214515686e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1752 2.8166980482637882e-03</internalNodes>
-          <leafValues>
-            -4.1387278586626053e-02 2.0167019963264465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1753 6.5882243216037750e-02</internalNodes>
-          <leafValues>
-            1.3007510453462601e-02 -5.5459141731262207e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1754 1.5577779849991202e-03</internalNodes>
-          <leafValues>
-            -2.3746419697999954e-02 4.1367299854755402e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1755 -5.4769590497016907e-03</internalNodes>
-          <leafValues>
-            -2.6814338564872742e-01 2.4470189586281776e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1756 -5.5535528808832169e-03</internalNodes>
-          <leafValues>
-            2.0323030650615692e-01 -3.5721950232982635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1757 -6.6988892853260040e-02</internalNodes>
-          <leafValues>
-            -5.1838552951812744e-01 1.0844370350241661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1758 4.1470538824796677e-02</internalNodes>
-          <leafValues>
-            2.7333609759807587e-03 -3.5633009672164917e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1759 -3.4693330526351929e-03</internalNodes>
-          <leafValues>
-            9.8271742463111877e-02 -7.2967939078807831e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1760 -8.2196565344929695e-03</internalNodes>
-          <leafValues>
-            1.0828279703855515e-01 -4.7256238758563995e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1761 9.9876541644334793e-03</internalNodes>
-          <leafValues>
-            -4.7037940472364426e-02 1.7513559758663177e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1762 -2.8357180953025818e-01</internalNodes>
-          <leafValues>
-            1.1804939806461334e-01 -5.6662421673536301e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1763 -3.1115990132093430e-02</internalNodes>
-          <leafValues>
-            3.8079530000686646e-01 -1.9796870648860931e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1764 1.0992879979312420e-02</internalNodes>
-          <leafValues>
-            2.2017719224095345e-02 -8.0382846295833588e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1765 -1.6561850905418396e-02</internalNodes>
-          <leafValues>
-            -4.3999090790748596e-01 1.5166619792580605e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1766 1.8488729838281870e-03</internalNodes>
-          <leafValues>
-            -1.9684309139847755e-02 1.6026680171489716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1767 -6.8709079641848803e-05</internalNodes>
-          <leafValues>
-            8.9373558759689331e-02 -7.0307746529579163e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1768 -5.3440540796145797e-05</internalNodes>
-          <leafValues>
-            1.0770639777183533e-01 -7.9271383583545685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1769 5.1137150876456872e-05</internalNodes>
-          <leafValues>
-            -7.4268989264965057e-02 9.2868506908416748e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1770 -1.0940999723970890e-02</internalNodes>
-          <leafValues>
-            -6.0954278707504272e-01 7.1117929182946682e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1771 1.6700969636440277e-01</internalNodes>
-          <leafValues>
-            1.7398620024323463e-02 -3.4830319881439209e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1772 -5.3627010434865952e-02</internalNodes>
-          <leafValues>
-            -2.5175419449806213e-01 3.0668680556118488e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1773 -1.6854789108037949e-02</internalNodes>
-          <leafValues>
-            -2.3226660490036011e-01 2.9541799798607826e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1774 -6.6016108030453324e-04</internalNodes>
-          <leafValues>
-            8.4474369883537292e-02 -2.9211960732936859e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1775 5.8979410823667422e-05</internalNodes>
-          <leafValues>
-            -7.1650400757789612e-02 8.9446447789669037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1776 -2.9099199920892715e-02</internalNodes>
-          <leafValues>
-            1.5133389830589294e-01 -4.4302191585302353e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1777 6.0370288789272308e-02</internalNodes>
-          <leafValues>
-            2.3916089907288551e-02 -2.8696390986442566e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1778 5.2198538469383493e-05</internalNodes>
-          <leafValues>
-            -5.5224779993295670e-02 6.3085198402404785e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1779 -5.3573388868244365e-05</internalNodes>
-          <leafValues>
-            9.1779157519340515e-02 -7.3383733630180359e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1780 -9.2194221913814545e-02</internalNodes>
-          <leafValues>
-            8.4590747952461243e-02 -4.3549880385398865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1781 6.8016350269317627e-03</internalNodes>
-          <leafValues>
-            -3.9529308676719666e-02 1.7724280059337616e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1782 1.3659190386533737e-02</internalNodes>
-          <leafValues>
-            -3.1453400850296021e-02 9.2184126377105713e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1783 -2.0240260288119316e-02</internalNodes>
-          <leafValues>
-            1.2939970195293427e-01 -7.2216689586639404e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1784 -3.3109420537948608e-01</internalNodes>
-          <leafValues>
-            -5.6844151020050049e-01 4.8965080641210079e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1785 -3.5590109229087830e-01</internalNodes>
-          <leafValues>
-            -6.0889261960983276e-01 1.2166419997811317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1786 3.2671329379081726e-01</internalNodes>
-          <leafValues>
-            1.1408380232751369e-02 -5.4270422458648682e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1787 -6.3796848058700562e-02</internalNodes>
-          <leafValues>
-            -8.0737471580505371e-01 7.3937238194048405e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1788 4.1656321845948696e-03</internalNodes>
-          <leafValues>
-            1.8647879362106323e-02 -6.3343852758407593e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1789 6.2817978858947754e-01</internalNodes>
-          <leafValues>
-            -2.2962320595979691e-02 2.8442010283470154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1790 5.7043769629672170e-05</internalNodes>
-          <leafValues>
-            -5.8396600186824799e-02 2.7118930593132973e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1791 -8.2484260201454163e-03</internalNodes>
-          <leafValues>
-            -3.6744558811187744e-01 1.7963869497179985e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1792 2.1319560706615448e-01</internalNodes>
-          <leafValues>
-            4.8015988431870937e-03 -2.5128981471061707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1793 -9.2648178339004517e-02</internalNodes>
-          <leafValues>
-            4.0808829665184021e-01 -1.6961680725216866e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1794 6.7387576564215124e-05</internalNodes>
-          <leafValues>
-            -1.1430130153894424e-01 6.2709592282772064e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1795 -5.2264030091464520e-03</internalNodes>
-          <leafValues>
-            -3.8103449344635010e-01 1.8856620416045189e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1796 -4.5156818814575672e-03</internalNodes>
-          <leafValues>
-            -3.2349079847335815e-01 1.5758650377392769e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1797 3.1322699505835772e-03</internalNodes>
-          <leafValues>
-            3.7116400897502899e-02 -1.6313099861145020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1798 -3.0949179083108902e-02</internalNodes>
-          <leafValues>
-            -2.2487780451774597e-01 1.5935560688376427e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1799 -1.1999710462987423e-02</internalNodes>
-          <leafValues>
-            1.0604210197925568e-01 -5.6003518402576447e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1800 3.3642560243606567e-02</internalNodes>
-          <leafValues>
-            9.4332182779908180e-03 -2.4610279500484467e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1801 1.1973080225288868e-02</internalNodes>
-          <leafValues>
-            -4.5692600309848785e-02 1.5212790668010712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1802 -1.4105269312858582e-01</internalNodes>
-          <leafValues>
-            -4.0252068638801575e-01 1.6124870628118515e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1803 -5.8696339838206768e-03</internalNodes>
-          <leafValues>
-            1.2235599756240845e-01 -4.8751059919595718e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1804 2.1555710118263960e-03</internalNodes>
-          <leafValues>
-            -1.8416309729218483e-02 1.4515219628810883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1805 2.4534349795430899e-03</internalNodes>
-          <leafValues>
-            -9.0565666556358337e-02 6.3355736434459686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1806 5.2382410503923893e-03</internalNodes>
-          <leafValues>
-            -4.1047159582376480e-02 7.2730809450149536e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1807 -1.4319210313260555e-02</internalNodes>
-          <leafValues>
-            -1.7929619550704956e-01 3.6573551595211029e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1808 -1.0585630312561989e-02</internalNodes>
-          <leafValues>
-            -3.8849338889122009e-01 7.9265926033258438e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1809 8.9276917278766632e-03</internalNodes>
-          <leafValues>
-            -5.7579260319471359e-02 1.0150779783725739e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1810 5.7917978614568710e-02</internalNodes>
-          <leafValues>
-            1.3735010288655758e-02 -1.9172470271587372e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1811 -9.2071853578090668e-03</internalNodes>
-          <leafValues>
-            -2.0012189447879791e-01 3.3192038536071777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1812 -8.3500929176807404e-02</internalNodes>
-          <leafValues>
-            2.9251980781555176e-01 -2.2903669625520706e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1813 -4.5707109384238720e-03</internalNodes>
-          <leafValues>
-            -1.9109779596328735e-01 4.0867939591407776e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1814 -2.8107669204473495e-02</internalNodes>
-          <leafValues>
-            -1.3955590128898621e-01 2.2897839546203613e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1815 -2.2816540673375130e-02</internalNodes>
-          <leafValues>
-            -2.5770029425621033e-01 2.2989239543676376e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1816 -5.2285268902778625e-03</internalNodes>
-          <leafValues>
-            -6.1747290194034576e-02 3.7713401019573212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1817 6.0513508506119251e-03</internalNodes>
-          <leafValues>
-            -4.1627131402492523e-02 1.5567490458488464e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1818 -4.0782008320093155e-02</internalNodes>
-          <leafValues>
-            2.5596979260444641e-01 -2.5189070031046867e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1819 6.2671699561178684e-03</internalNodes>
-          <leafValues>
-            -9.7672566771507263e-02 7.2752490639686584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1820 -1.1280509643256664e-03</internalNodes>
-          <leafValues>
-            7.3656037449836731e-02 -1.1387579888105392e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1821 6.8747308105230331e-03</internalNodes>
-          <leafValues>
-            -6.6789150238037109e-02 1.3151079416275024e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1822 -3.3762790262699127e-02</internalNodes>
-          <leafValues>
-            -1.8931210041046143e-01 3.4766618162393570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1823 5.1757418987108395e-05</internalNodes>
-          <leafValues>
-            -7.8098617494106293e-02 7.9830199480056763e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1824 1.0175850242376328e-01</internalNodes>
-          <leafValues>
-            1.7523359507322311e-02 -2.1947909891605377e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1825 1.1764559894800186e-01</internalNodes>
-          <leafValues>
-            1.4738990366458893e-01 -4.2805839329957962e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1826 -1.9031679630279541e-01</internalNodes>
-          <leafValues>
-            -3.7623789906501770e-01 3.8982050027698278e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1827 2.1824610233306885e-01</internalNodes>
-          <leafValues>
-            7.8864647075533867e-03 -6.4516901969909668e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1828 6.1720587837044150e-05</internalNodes>
-          <leafValues>
-            -6.8813540041446686e-02 7.8313410282135010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1829 7.6815136708319187e-05</internalNodes>
-          <leafValues>
-            -6.9198243319988251e-02 9.8149210214614868e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1830 -1.5573709970340133e-03</internalNodes>
-          <leafValues>
-            4.5510411262512207e-02 -1.1858870089054108e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1831 1.5356070362031460e-02</internalNodes>
-          <leafValues>
-            -3.7732329219579697e-02 1.6196539998054504e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1832 -6.4422818832099438e-04</internalNodes>
-          <leafValues>
-            -4.9214340746402740e-02 3.8596581667661667e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1833 3.0240670312196016e-03</internalNodes>
-          <leafValues>
-            1.9877310842275620e-02 -2.7352470159530640e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1834 -2.4049060046672821e-01</internalNodes>
-          <leafValues>
-            -3.2233241200447083e-01 9.9804811179637909e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1835 -6.8453960120677948e-03</internalNodes>
-          <leafValues>
-            -2.6824951171875000e-01 2.0093979313969612e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1836 -9.8221071064472198e-02</internalNodes>
-          <leafValues>
-            3.6731448769569397e-01 -1.6751440241932869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1837 -3.3398460596799850e-02</internalNodes>
-          <leafValues>
-            -7.5862818956375122e-01 9.9286399781703949e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1838 -3.2237220555543900e-02</internalNodes>
-          <leafValues>
-            2.2383579611778259e-01 -1.2614809907972813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1839 -3.3283960074186325e-02</internalNodes>
-          <leafValues>
-            2.9738378524780273e-01 -1.9648900255560875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1840 -6.3496932853013277e-05</internalNodes>
-          <leafValues>
-            5.7933460921049118e-02 -4.3885860592126846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1841 7.6012212957721204e-05</internalNodes>
-          <leafValues>
-            -7.1816489100456238e-02 8.6936511099338531e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1842 2.7044719085097313e-02</internalNodes>
-          <leafValues>
-            7.5920550152659416e-03 -5.4519557952880859e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1843 9.8314275965094566e-03</internalNodes>
-          <leafValues>
-            2.3584580048918724e-02 -2.4372850358486176e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1844 -1.4273289591073990e-02</internalNodes>
-          <leafValues>
-            1.2024249881505966e-01 -2.0805019885301590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1845 3.4047421067953110e-03</internalNodes>
-          <leafValues>
-            2.4277240037918091e-02 -2.4346110224723816e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1846 -2.1703050006181002e-03</internalNodes>
-          <leafValues>
-            4.7682531177997589e-02 -2.8576539829373360e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1847 6.4616702497005463e-02</internalNodes>
-          <leafValues>
-            -7.2562202811241150e-02 9.5571190118789673e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1848 -3.6136131733655930e-02</internalNodes>
-          <leafValues>
-            -2.2917810082435608e-01 2.1050409413874149e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1849 -1.9167549908161163e-02</internalNodes>
-          <leafValues>
-            3.0063459277153015e-01 -2.2639019414782524e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1850 1.0301499627530575e-02</internalNodes>
-          <leafValues>
-            1.9979899749159813e-02 -1.1853440105915070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1851 2.5042060762643814e-02</internalNodes>
-          <leafValues>
-            1.3732859864830971e-02 -4.4012320041656494e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1852 1.1802879720926285e-01</internalNodes>
-          <leafValues>
-            -2.3824589326977730e-02 9.6127033233642578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1853 -8.2905329763889313e-03</internalNodes>
-          <leafValues>
-            -8.1776067614555359e-02 6.8393409252166748e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1854 -1.0710770264267921e-02</internalNodes>
-          <leafValues>
-            4.3334428220987320e-02 -7.5097911059856415e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1855 2.6918289065361023e-01</internalNodes>
-          <leafValues>
-            -3.9503660053014755e-02 1.4504730701446533e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1856 -2.2763809189200401e-02</internalNodes>
-          <leafValues>
-            9.9672622978687286e-02 -7.7555380761623383e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1857 -1.2115190178155899e-01</internalNodes>
-          <leafValues>
-            -3.9497470855712891e-01 1.6640119254589081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1858 7.1451293479185551e-05</internalNodes>
-          <leafValues>
-            -5.3211521357297897e-02 3.6570221185684204e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1859 3.8077360950410366e-03</internalNodes>
-          <leafValues>
-            -9.1341376304626465e-02 7.4727490544319153e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1860 -6.2283109873533249e-02</internalNodes>
-          <leafValues>
-            4.4904568791389465e-01 -1.4291680417954922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1861 -1.6545509919524193e-02</internalNodes>
-          <leafValues>
-            2.1537640690803528e-01 -2.6689510792493820e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1862 -9.5320530235767365e-03</internalNodes>
-          <leafValues>
-            -1.5028700232505798e-01 8.1632016226649284e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1863 -5.1539638661779463e-05</internalNodes>
-          <leafValues>
-            7.7702187001705170e-02 -7.4435219168663025e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1864 8.1616528332233429e-03</internalNodes>
-          <leafValues>
-            1.2540699914097786e-02 -4.7263838350772858e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1865 -1.6064610332250595e-02</internalNodes>
-          <leafValues>
-            -6.3055968284606934e-01 8.5211051627993584e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1866 -9.4421818852424622e-02</internalNodes>
-          <leafValues>
-            1.3808089494705200e-01 -3.9954699575901031e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1867 -7.0128433406352997e-02</internalNodes>
-          <leafValues>
-            -2.7507200837135315e-01 2.6419319212436676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1868 -1.4281000010669231e-02</internalNodes>
-          <leafValues>
-            8.4090739488601685e-02 -4.2029079049825668e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1869 -2.0523479208350182e-02</internalNodes>
-          <leafValues>
-            1.5208010375499725e-01 -3.8674451410770416e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1870 3.1574970483779907e-01</internalNodes>
-          <leafValues>
-            8.8831735774874687e-03 -6.8551319837570190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1871 5.9291431680321693e-03</internalNodes>
-          <leafValues>
-            6.9111599586904049e-03 -6.0731059312820435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1872 6.0803038650192320e-05</internalNodes>
-          <leafValues>
-            -6.6974677145481110e-02 7.5997337698936462e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1873 8.9074257994070649e-04</internalNodes>
-          <leafValues>
-            -5.7422380894422531e-02 8.9614070951938629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1874 7.5585566461086273e-02</internalNodes>
-          <leafValues>
-            5.4939449764788151e-03 -5.0682210922241211e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1875 1.7032520845532417e-02</internalNodes>
-          <leafValues>
-            -7.0099852979183197e-02 8.4323048591613770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1876 1.2238330207765102e-02</internalNodes>
-          <leafValues>
-            3.3506508916616440e-02 -1.5453749895095825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1877 1.2650569900870323e-02</internalNodes>
-          <leafValues>
-            -3.4498661756515503e-02 1.7358370125293732e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1878 3.9281910285353661e-03</internalNodes>
-          <leafValues>
-            3.3152848482131958e-02 -1.2065990269184113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1879 -1.8485839664936066e-01</internalNodes>
-          <leafValues>
-            -4.4308841228485107e-01 1.2247050181031227e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1880 -6.5704691223800182e-03</internalNodes>
-          <leafValues>
-            -2.8371539711952209e-01 1.1953360401093960e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1881 -5.8720408560475335e-05</internalNodes>
-          <leafValues>
-            6.0625560581684113e-02 -9.0594232082366943e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1882 -2.1587649825960398e-03</internalNodes>
-          <leafValues>
-            7.1897417306900024e-02 -7.1638710796833038e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1883 -4.2619958519935608e-02</internalNodes>
-          <leafValues>
-            -6.3012677431106567e-01 9.0704262256622314e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1884 -2.1494319662451744e-03</internalNodes>
-          <leafValues>
-            7.0125512778759003e-02 -3.0237630009651184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1885 -9.0273208916187286e-03</internalNodes>
-          <leafValues>
-            -2.0843930542469025e-01 2.5662729516625404e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1886 -1.9365029409527779e-02</internalNodes>
-          <leafValues>
-            -2.1868449449539185e-01 3.9497479796409607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1887 -1.4133329689502716e-01</internalNodes>
-          <leafValues>
-            1.7587089538574219e-01 -3.0029740184545517e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1888 -7.0533920079469681e-03</internalNodes>
-          <leafValues>
-            1.2578339874744415e-01 -4.2285289615392685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1889 9.1119036369491369e-05</internalNodes>
-          <leafValues>
-            -8.0194853246212006e-02 6.9832347333431244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1890 5.6941218674182892e-02</internalNodes>
-          <leafValues>
-            1.6689090058207512e-02 -5.2839207649230957e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1891 -5.4684251546859741e-02</internalNodes>
-          <leafValues>
-            -2.0393149554729462e-01 2.8620930388569832e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1892 -5.8811619965126738e-05</internalNodes>
-          <leafValues>
-            4.1804101318120956e-02 -4.7025229781866074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1893 1.7949440516531467e-03</internalNodes>
-          <leafValues>
-            -7.5684927403926849e-02 6.9111049175262451e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1894 2.9679369181394577e-03</internalNodes>
-          <leafValues>
-            -3.7506360560655594e-02 1.6561579704284668e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1895 2.8809459879994392e-02</internalNodes>
-          <leafValues>
-            -1.2360650300979614e-01 4.9675479531288147e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1896 4.0495251305401325e-03</internalNodes>
-          <leafValues>
-            -3.1962219625711441e-02 1.9525900483131409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1897 -6.2003359198570251e-02</internalNodes>
-          <leafValues>
-            -3.8278189301490784e-01 1.5061319805681705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1898 -5.1115748647134751e-05</internalNodes>
-          <leafValues>
-            6.7757539451122284e-02 -5.2631400525569916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1899 -8.5218940512277186e-05</internalNodes>
-          <leafValues>
-            8.6446836590766907e-02 -6.7225173115730286e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1900 5.5194161832332611e-03</internalNodes>
-          <leafValues>
-            -1.7245279625058174e-02 1.6542769968509674e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1901 -1.0302600450813770e-02</internalNodes>
-          <leafValues>
-            -2.3677019774913788e-01 2.2329760715365410e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1902 4.1106292046606541e-03</internalNodes>
-          <leafValues>
-            -2.0237570628523827e-02 8.8973782956600189e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1903 2.2337420377880335e-03</internalNodes>
-          <leafValues>
-            -4.6158008277416229e-02 1.1012540012598038e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1904 -7.5415097177028656e-02</internalNodes>
-          <leafValues>
-            -4.3671968579292297e-01 7.0562111213803291e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1905 -3.5641689319163561e-03</internalNodes>
-          <leafValues>
-            -2.0360149443149567e-01 2.6056429371237755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1906 -7.5477738864719868e-03</internalNodes>
-          <leafValues>
-            6.8226106464862823e-02 -2.2757640108466148e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1907 3.1273330096155405e-03</internalNodes>
-          <leafValues>
-            -5.1596619188785553e-02 1.1045560240745544e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1908 -7.2469911538064480e-03</internalNodes>
-          <leafValues>
-            -2.8128591179847717e-01 3.2531570177525282e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1909 -5.2346920710988343e-05</internalNodes>
-          <leafValues>
-            7.0106193423271179e-02 -9.4152770936489105e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1910 -2.4612979963421822e-02</internalNodes>
-          <leafValues>
-            -8.7304252386093140e-01 1.3450640253722668e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1911 -3.5978900268673897e-03</internalNodes>
-          <leafValues>
-            -1.7041720449924469e-01 3.1998220831155777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1912 7.2957523167133331e-02</internalNodes>
-          <leafValues>
-            5.0021768547594547e-03 -4.6821400523185730e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1913 -8.2925416529178619e-02</internalNodes>
-          <leafValues>
-            -6.8254911899566650e-01 6.8542738445103168e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1914 1.4584979414939880e-01</internalNodes>
-          <leafValues>
-            4.4581899419426918e-03 -9.1366928815841675e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1915 1.2101789936423302e-02</internalNodes>
-          <leafValues>
-            2.4414170533418655e-02 -1.8117509782314301e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1916 -6.0667369514703751e-02</internalNodes>
-          <leafValues>
-            2.2934840619564056e-01 -1.4323459938168526e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1917 2.0745540037751198e-02</internalNodes>
-          <leafValues>
-            -2.6910720393061638e-02 1.9334229826927185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1918 7.7412481186911464e-04</internalNodes>
-          <leafValues>
-            -2.9913529753684998e-02 4.5873280614614487e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1919 1.3549369759857655e-02</internalNodes>
-          <leafValues>
-            3.4433681517839432e-02 -1.8116979300975800e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1920 1.2264180183410645e-01</internalNodes>
-          <leafValues>
-            8.5802376270294189e-03 -3.5567748546600342e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1921 6.7160837352275848e-02</internalNodes>
-          <leafValues>
-            1.5259440056979656e-02 -3.3480858802795410e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1922 -2.4647530168294907e-02</internalNodes>
-          <leafValues>
-            1.9604270160198212e-01 -2.5130519643425941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1923 1.6193950548768044e-02</internalNodes>
-          <leafValues>
-            2.5508690625429153e-02 -2.1010090410709381e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1924 4.4934380054473877e-01</internalNodes>
-          <leafValues>
-            -1.0850709863007069e-02 2.6361268758773804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1925 1.0006000287830830e-02</internalNodes>
-          <leafValues>
-            1.6283020377159119e-02 -3.3978369832038879e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1926 -3.3295390312559903e-04</internalNodes>
-          <leafValues>
-            4.8216179013252258e-02 -3.3164579421281815e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1927 -2.8556359931826591e-02</internalNodes>
-          <leafValues>
-            -1.4011450111865997e-01 3.5931900143623352e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1928 6.8772169761359692e-03</internalNodes>
-          <leafValues>
-            -1.2332179583609104e-02 1.5525570511817932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1929 2.6129318866878748e-03</internalNodes>
-          <leafValues>
-            -4.3558120727539062e-02 1.2221980094909668e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1930 3.2784798741340637e-01</internalNodes>
-          <leafValues>
-            1.3112389715388417e-03 -8.1634020805358887e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1931 1.5350890159606934e-01</internalNodes>
-          <leafValues>
-            1.5348929911851883e-02 -3.3603930473327637e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1932 9.0102507965639234e-04</internalNodes>
-          <leafValues>
-            -3.2568939030170441e-02 6.3755579292774200e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1933 -7.4206269346177578e-05</internalNodes>
-          <leafValues>
-            8.1737652420997620e-02 -6.6912956535816193e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1934 -3.3565158955752850e-03</internalNodes>
-          <leafValues>
-            -1.2600690126419067e-01 2.2333910688757896e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1935 6.5229997038841248e-02</internalNodes>
-          <leafValues>
-            -3.2034210860729218e-02 1.7820569872856140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1936 -2.0175189711153507e-03</internalNodes>
-          <leafValues>
-            2.4484390392899513e-02 -5.7224631309509277e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1937 7.0746080018579960e-03</internalNodes>
-          <leafValues>
-            9.8791662603616714e-03 -5.4220247268676758e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1938 6.5917898609768599e-05</internalNodes>
-          <leafValues>
-            -5.1658220589160919e-02 5.6762930005788803e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1939 3.0828830599784851e-01</internalNodes>
-          <leafValues>
-            -9.5853386446833611e-03 5.3433179855346680e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1940 1.0255790315568447e-02</internalNodes>
-          <leafValues>
-            2.4838339537382126e-02 -1.6516630351543427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1941 -5.3460840717889369e-05</internalNodes>
-          <leafValues>
-            7.9820998013019562e-02 -6.5021842718124390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1942 -2.3789680562913418e-03</internalNodes>
-          <leafValues>
-            4.7830250114202499e-02 -5.2991490811109543e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1943 -5.6755929253995419e-03</internalNodes>
-          <leafValues>
-            1.2446220219135284e-01 -4.4751990586519241e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>317</maxWeakCount>
-      <stageThreshold>-1.1628010272979736e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1944 -1.0756739974021912e-01</internalNodes>
-          <leafValues>
-            3.4051141142845154e-01 -1.5209180116653442e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1945 4.3516431003808975e-02</internalNodes>
-          <leafValues>
-            -1.3533400371670723e-02 2.8570750355720520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1946 1.5090970695018768e-01</internalNodes>
-          <leafValues>
-            5.0420017214491963e-04 -5.6076660156250000e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1947 8.1543149426579475e-03</internalNodes>
-          <leafValues>
-            -5.7393770664930344e-02 1.6381829977035522e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1948 -1.0340789705514908e-01</internalNodes>
-          <leafValues>
-            2.2989919781684875e-01 -1.2858000397682190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1949 -7.5287488289177418e-03</internalNodes>
-          <leafValues>
-            7.1470782160758972e-02 -2.5789029896259308e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1950 3.6443499848246574e-03</internalNodes>
-          <leafValues>
-            -2.2227230668067932e-01 1.2411169707775116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1951 5.3749978542327881e-01</internalNodes>
-          <leafValues>
-            1.3947029598057270e-02 5.2125108242034912e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1952 2.7013081312179565e-01</internalNodes>
-          <leafValues>
-            -1.9904779270291328e-02 -6.3081250000000000e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1953 -1.0368769988417625e-02</internalNodes>
-          <leafValues>
-            1.0527289658784866e-01 -1.2945720553398132e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1954 -1.5604550018906593e-02</internalNodes>
-          <leafValues>
-            2.1595460176467896e-01 -9.8842203617095947e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1955 -2.0287589728832245e-01</internalNodes>
-          <leafValues>
-            -2.7739518880844116e-01 3.4634380135685205e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1956 -2.7160419151186943e-02</internalNodes>
-          <leafValues>
-            1.0022699832916260e-01 -2.0542170107364655e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1957 -5.2366848103702068e-03</internalNodes>
-          <leafValues>
-            1.2705439329147339e-01 -1.2547770142555237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1958 4.6215238980948925e-03</internalNodes>
-          <leafValues>
-            4.4826891273260117e-02 -2.7245700359344482e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1959 -6.7956638522446156e-03</internalNodes>
-          <leafValues>
-            -1.3386589288711548e-01 2.7177840471267700e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1960 -2.1976660192012787e-01</internalNodes>
-          <leafValues>
-            -2.5276950001716614e-01 4.6465039253234863e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1961 4.6517988666892052e-03</internalNodes>
-          <leafValues>
-            1.0934700258076191e-02 -3.5598039627075195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1962 -1.5317969955503941e-03</internalNodes>
-          <leafValues>
-            -2.4999429285526276e-01 4.4351290911436081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1963 4.6969428658485413e-03</internalNodes>
-          <leafValues>
-            2.1836619824171066e-02 -2.8716519474983215e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1964 4.8189409077167511e-02</internalNodes>
-          <leafValues>
-            2.8869369998574257e-02 -3.6160790920257568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1965 -7.6267770491540432e-03</internalNodes>
-          <leafValues>
-            1.3116089999675751e-01 -3.7187561392784119e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1966 -4.5027391024632379e-05</internalNodes>
-          <leafValues>
-            7.1991510689258575e-02 -1.2496870011091232e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1967 -5.3772819228470325e-05</internalNodes>
-          <leafValues>
-            7.9510539770126343e-02 -7.9604126513004303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1968 9.2382878065109253e-03</internalNodes>
-          <leafValues>
-            -4.5949440449476242e-02 2.0551459491252899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1969 3.3600959926843643e-02</internalNodes>
-          <leafValues>
-            2.3966940119862556e-02 -2.2747719287872314e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1970 -4.1857630014419556e-02</internalNodes>
-          <leafValues>
-            -2.5670358538627625e-01 4.3388199061155319e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1971 4.3434980325400829e-03</internalNodes>
-          <leafValues>
-            -3.6065939813852310e-02 1.3354070484638214e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1972 8.7262392044067383e-03</internalNodes>
-          <leafValues>
-            -2.8033399954438210e-02 2.9659709334373474e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1973 7.2506397962570190e-02</internalNodes>
-          <leafValues>
-            3.3931098878383636e-02 -2.6456800103187561e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1974 6.9837369956076145e-03</internalNodes>
-          <leafValues>
-            2.3075399920344353e-02 -3.6719548702239990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1975 9.3958720564842224e-02</internalNodes>
-          <leafValues>
-            5.1443470874801278e-04 -6.9157868623733521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1976 -5.4611168801784515e-02</internalNodes>
-          <leafValues>
-            3.5633870959281921e-01 -2.5591190904378891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1977 8.3599044010043144e-03</internalNodes>
-          <leafValues>
-            -1.1838919669389725e-01 5.4096020758152008e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1978 -8.5311960428953171e-03</internalNodes>
-          <leafValues>
-            2.5801640748977661e-01 -4.3296508491039276e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1979 5.3095761686563492e-02</internalNodes>
-          <leafValues>
-            1.3446169905364513e-02 -2.0017629861831665e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1980 7.1099922060966492e-03</internalNodes>
-          <leafValues>
-            -1.7173579335212708e-01 6.6415287554264069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1981 -1.2145659886300564e-02</internalNodes>
-          <leafValues>
-            -3.4982419013977051e-01 1.5253229998052120e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1982 4.9184050410985947e-02</internalNodes>
-          <leafValues>
-            -1.4627310633659363e-01 7.6635338366031647e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1983 6.4207926392555237e-02</internalNodes>
-          <leafValues>
-            -4.2698029428720474e-02 8.9895337820053101e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1984 5.0567109137773514e-02</internalNodes>
-          <leafValues>
-            -3.4271400421857834e-02 3.2117810845375061e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1985 3.8187500834465027e-01</internalNodes>
-          <leafValues>
-            5.9737069532275200e-03 -4.1509181261062622e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1986 2.4141989648342133e-01</internalNodes>
-          <leafValues>
-            4.2892090976238251e-02 -2.5744560360908508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1987 8.7335016578435898e-03</internalNodes>
-          <leafValues>
-            2.1523810923099518e-02 -2.5816148519515991e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1988 5.5905920453369617e-03</internalNodes>
-          <leafValues>
-            3.6882549524307251e-02 -2.6805239915847778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1989 1.4510929584503174e-02</internalNodes>
-          <leafValues>
-            -1.0920179635286331e-01 9.9173150956630707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1990 -2.7428429573774338e-02</internalNodes>
-          <leafValues>
-            -2.5048801302909851e-01 4.5212849974632263e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1991 -1.2336769700050354e-01</internalNodes>
-          <leafValues>
-            2.2557680308818817e-01 -4.2895268648862839e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1992 -6.1607718467712402e-02</internalNodes>
-          <leafValues>
-            -2.7772828936576843e-01 3.2521318644285202e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1993 -7.6216891407966614e-02</internalNodes>
-          <leafValues>
-            3.6572670936584473e-01 -2.5518480688333511e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1994 4.3231542222201824e-03</internalNodes>
-          <leafValues>
-            -5.9951819479465485e-02 1.2853649258613586e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1995 -7.2015187470242381e-05</internalNodes>
-          <leafValues>
-            6.6845960915088654e-02 -6.5362177789211273e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1996 3.8772630505263805e-03</internalNodes>
-          <leafValues>
-            -7.4681833386421204e-02 1.4904339611530304e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1997 -3.0842460691928864e-02</internalNodes>
-          <leafValues>
-            4.6776279807090759e-02 -7.9269908368587494e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1998 2.9754610732197762e-03</internalNodes>
-          <leafValues>
-            -6.3138246536254883e-02 1.2994049489498138e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1999 -4.3571940623223782e-03</internalNodes>
-          <leafValues>
-            1.7601740360260010e-01 -2.0950280129909515e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2000 2.5649809686001390e-05</internalNodes>
-          <leafValues>
-            -9.3459837138652802e-02 1.0563880205154419e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2001 -1.9046630710363388e-02</internalNodes>
-          <leafValues>
-            3.7896901369094849e-02 -2.0427240431308746e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2002 -5.9084378182888031e-02</internalNodes>
-          <leafValues>
-            -2.6028269529342651e-01 3.1877409666776657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2003 -3.9950340986251831e-02</internalNodes>
-          <leafValues>
-            -3.5063821077346802e-01 9.2909233644604683e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2004 5.0834741443395615e-02</internalNodes>
-          <leafValues>
-            2.1912310272455215e-02 -3.8032969832420349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2005 -1.3603189960122108e-02</internalNodes>
-          <leafValues>
-            2.0380680263042450e-01 -2.1299460902810097e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2006 -6.7439332604408264e-02</internalNodes>
-          <leafValues>
-            -4.7569081187248230e-01 1.6315059736371040e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2007 1.7744049429893494e-02</internalNodes>
-          <leafValues>
-            -2.6215350255370140e-02 1.7312249541282654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2008 4.0822949260473251e-02</internalNodes>
-          <leafValues>
-            2.6971889659762383e-02 -2.5315660238265991e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2009 -3.5472789313644171e-03</internalNodes>
-          <leafValues>
-            -1.9389900565147400e-01 1.5181340277194977e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2010 1.3450950384140015e-02</internalNodes>
-          <leafValues>
-            -5.6016638875007629e-02 1.3361880183219910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2011 7.0215687155723572e-02</internalNodes>
-          <leafValues>
-            1.2199330143630505e-02 -2.9756540060043335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2012 1.5829039737582207e-02</internalNodes>
-          <leafValues>
-            -8.7111897766590118e-02 8.8955126702785492e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2013 -2.0391130819916725e-02</internalNodes>
-          <leafValues>
-            1.7829939723014832e-01 -3.7198159843683243e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2014 3.6189330276101828e-03</internalNodes>
-          <leafValues>
-            -7.6297633349895477e-02 9.6968129277229309e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2015 1.0060019558295608e-03</internalNodes>
-          <leafValues>
-            -4.9890179187059402e-02 6.5894342958927155e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2016 2.9275720007717609e-03</internalNodes>
-          <leafValues>
-            2.9817380011081696e-02 -2.4240310490131378e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2017 -1.2258989736437798e-02</internalNodes>
-          <leafValues>
-            1.9031849503517151e-01 -7.5331269763410091e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2018 2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            -8.8776819407939911e-02 8.0645427107810974e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2019 -1.2860990129411221e-02</internalNodes>
-          <leafValues>
-            6.9567993283271790e-02 -2.9768820852041245e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2020 -4.9192551523447037e-02</internalNodes>
-          <leafValues>
-            1.5113650262355804e-01 -5.4699920117855072e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2021 -1.9440440461039543e-02</internalNodes>
-          <leafValues>
-            -1.7859379947185516e-01 1.7632320523262024e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2022 2.5363420136272907e-03</internalNodes>
-          <leafValues>
-            3.0099060386419296e-02 -2.1704940497875214e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2023 -2.0927110686898232e-02</internalNodes>
-          <leafValues>
-            1.5293440222740173e-01 -2.6591630652546883e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2024 2.1768060978502035e-03</internalNodes>
-          <leafValues>
-            -8.0131806433200836e-02 8.7036617100238800e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2025 3.2644919119775295e-03</internalNodes>
-          <leafValues>
-            -5.0661858171224594e-02 5.0410520285367966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2026 5.3135089576244354e-02</internalNodes>
-          <leafValues>
-            3.1357381492853165e-02 -2.4327489733695984e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2027 6.5658721141517162e-03</internalNodes>
-          <leafValues>
-            -3.1448438763618469e-02 1.3142390549182892e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2028 -1.6994590405374765e-03</internalNodes>
-          <leafValues>
-            7.8728817403316498e-02 -9.3054726719856262e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2029 -2.3196509107947350e-02</internalNodes>
-          <leafValues>
-            2.0170910656452179e-01 -1.5233940444886684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2030 7.1990801952779293e-03</internalNodes>
-          <leafValues>
-            -4.3634898960590363e-02 2.1300609409809113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2031 6.9829211570322514e-03</internalNodes>
-          <leafValues>
-            3.1767521053552628e-02 -2.1285930275917053e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2032 -4.4900798238813877e-03</internalNodes>
-          <leafValues>
-            -1.7512929439544678e-01 4.4021461158990860e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2033 -1.2099999934434891e-01</internalNodes>
-          <leafValues>
-            -3.6906799674034119e-01 4.4225710444152355e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2034 -3.8008268922567368e-02</internalNodes>
-          <leafValues>
-            5.2773797512054443e-01 -1.4740760438144207e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2035 -1.1132000014185905e-02</internalNodes>
-          <leafValues>
-            6.3405543565750122e-02 -1.1063119769096375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2036 1.2125620245933533e-01</internalNodes>
-          <leafValues>
-            1.1243700236082077e-01 -6.7125849425792694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2037 -5.8873560279607773e-02</internalNodes>
-          <leafValues>
-            1.9491989910602570e-01 -7.9787842696532607e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2038 -1.2328930199146271e-02</internalNodes>
-          <leafValues>
-            -1.8806469440460205e-01 3.9350580424070358e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2039 -4.4250390492379665e-03</internalNodes>
-          <leafValues>
-            1.1267340183258057e-01 -6.8100236356258392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2040 -5.0966828130185604e-03</internalNodes>
-          <leafValues>
-            -1.7945580184459686e-01 4.7573208808898926e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2041 -4.0345240384340286e-02</internalNodes>
-          <leafValues>
-            -5.7044768333435059e-01 5.5092480033636093e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2042 1.1254940181970596e-01</internalNodes>
-          <leafValues>
-            -2.6945270597934723e-02 2.5808990001678467e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2043 6.9978296756744385e-02</internalNodes>
-          <leafValues>
-            -1.1665009660646319e-03 8.6768251657485962e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2044 1.6544900834560394e-02</internalNodes>
-          <leafValues>
-            2.4307189509272575e-02 -2.5596928596496582e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2045 8.2277417182922363e-02</internalNodes>
-          <leafValues>
-            -2.6873949915170670e-02 2.4098409712314606e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2046 -4.6195117756724358e-03</internalNodes>
-          <leafValues>
-            -1.6582019627094269e-01 4.0042418986558914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2047 -2.4694160092622042e-03</internalNodes>
-          <leafValues>
-            9.2771060764789581e-02 -2.7375319972634315e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2048 1.0857389861484990e-04</internalNodes>
-          <leafValues>
-            -1.3484829664230347e-01 4.3606601655483246e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2049 -1.6490770503878593e-02</internalNodes>
-          <leafValues>
-            -1.6668060421943665e-01 1.7749810591340065e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2050 -4.7164629213511944e-03</internalNodes>
-          <leafValues>
-            1.7804649472236633e-01 -3.6563079804182053e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2051 9.0624459087848663e-02</internalNodes>
-          <leafValues>
-            1.7400879412889481e-02 -4.8980259895324707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2052 2.7714879252016544e-03</internalNodes>
-          <leafValues>
-            -6.5938666462898254e-02 9.6407622098922729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2053 4.3489869683980942e-02</internalNodes>
-          <leafValues>
-            1.3916529715061188e-02 -2.7095559239387512e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2054 6.3884491100907326e-03</internalNodes>
-          <leafValues>
-            -5.8143090456724167e-02 1.0462710261344910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2055 -1.4263800345361233e-02</internalNodes>
-          <leafValues>
-            1.4017640054225922e-01 -2.6916030794382095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2056 -5.6627448648214340e-03</internalNodes>
-          <leafValues>
-            -1.8962329626083374e-01 3.1633749604225159e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2057 7.5204060412943363e-03</internalNodes>
-          <leafValues>
-            -4.3590031564235687e-02 1.0007920116186142e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2058 -1.1097979731857777e-02</internalNodes>
-          <leafValues>
-            3.0840259790420532e-01 -2.1208239719271660e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2059 -6.1832141131162643e-02</internalNodes>
-          <leafValues>
-            1.8315550684928894e-01 -7.7433600090444088e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2060 3.4768159966915846e-03</internalNodes>
-          <leafValues>
-            5.0638139247894287e-02 -1.3400410115718842e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2061 9.7783863544464111e-02</internalNodes>
-          <leafValues>
-            2.0544449798762798e-03 -6.8779617547988892e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2062 -9.1820947825908661e-02</internalNodes>
-          <leafValues>
-            -2.5586891174316406e-01 2.5108650326728821e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2063 -1.4008830301463604e-02</internalNodes>
-          <leafValues>
-            -3.6381798982620239e-01 1.5536899678409100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2064 -4.7098949551582336e-02</internalNodes>
-          <leafValues>
-            4.1200450062751770e-01 -1.4785699546337128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2065 -2.4077659472823143e-02</internalNodes>
-          <leafValues>
-            -2.6497179269790649e-01 4.3284958228468895e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2066 -3.0720019713044167e-03</internalNodes>
-          <leafValues>
-            1.1348199844360352e-01 -5.2723880857229233e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2067 -2.3235319182276726e-02</internalNodes>
-          <leafValues>
-            -1.6182410717010498e-01 1.3907140120863914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2068 2.1753229200839996e-02</internalNodes>
-          <leafValues>
-            3.2046329230070114e-02 -1.8150269985198975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2069 -2.8419379144906998e-02</internalNodes>
-          <leafValues>
-            7.3599129915237427e-02 -1.2185299769043922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2070 -9.9035337567329407e-02</internalNodes>
-          <leafValues>
-            -8.0039161443710327e-01 7.5543550774455070e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2071 3.6745260003954172e-03</internalNodes>
-          <leafValues>
-            -4.2538471519947052e-02 1.3135530054569244e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2072 -2.4902099370956421e-01</internalNodes>
-          <leafValues>
-            5.7097381353378296e-01 -1.0065279901027679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2073 -2.5670630857348442e-03</internalNodes>
-          <leafValues>
-            1.0045439749956131e-01 -4.3844770640134811e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2074 6.2725669704377651e-03</internalNodes>
-          <leafValues>
-            2.8288219124078751e-02 -1.9911240041255951e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2075 1.2186019681394100e-02</internalNodes>
-          <leafValues>
-            -8.9298561215400696e-03 1.7236189544200897e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2076 -8.4080873057246208e-03</internalNodes>
-          <leafValues>
-            2.2059670090675354e-01 -2.5424160063266754e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2077 7.6226810924708843e-03</internalNodes>
-          <leafValues>
-            2.2617619484663010e-02 -3.5040241479873657e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2078 -3.5278380382806063e-03</internalNodes>
-          <leafValues>
-            -2.1290290355682373e-01 3.3766809850931168e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2079 -4.8759128898382187e-02</internalNodes>
-          <leafValues>
-            2.6399469375610352e-01 -2.2728230804204941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2080 4.2163010686635971e-02</internalNodes>
-          <leafValues>
-            1.6483969986438751e-02 -3.7255099415779114e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2081 4.1251659393310547e-02</internalNodes>
-          <leafValues>
-            -5.6340959854424000e-03 1.0747420042753220e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2082 -3.3506590873003006e-02</internalNodes>
-          <leafValues>
-            3.2449829578399658e-01 -1.9830549135804176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2083 -4.0785958990454674e-03</internalNodes>
-          <leafValues>
-            7.1264110505580902e-02 -8.6405247449874878e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2084 -3.9688128978013992e-02</internalNodes>
-          <leafValues>
-            -3.5533818602561951e-01 1.6811089590191841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2085 2.6250740885734558e-01</internalNodes>
-          <leafValues>
-            3.3027199096977711e-03 -3.0452561378479004e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2086 -1.0336879640817642e-01</internalNodes>
-          <leafValues>
-            -4.4277548789978027e-01 1.5268780291080475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2087 2.5352418888360262e-03</internalNodes>
-          <leafValues>
-            2.2626899182796478e-02 -1.9356669485569000e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2088 1.3277910184115171e-03</internalNodes>
-          <leafValues>
-            -8.4263376891613007e-02 6.5771676599979401e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2089 -6.9261603057384491e-02</internalNodes>
-          <leafValues>
-            1.9142749905586243e-01 -1.4814269728958607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2090 -3.1945269554853439e-02</internalNodes>
-          <leafValues>
-            -3.0996501445770264e-01 1.8099319189786911e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2091 7.1500530466437340e-03</internalNodes>
-          <leafValues>
-            -7.5515069067478180e-02 7.1342557668685913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2092 2.4518880527466536e-03</internalNodes>
-          <leafValues>
-            -5.2676178514957428e-02 1.1914870142936707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2093 2.5479370728135109e-02</internalNodes>
-          <leafValues>
-            -2.1526889875531197e-02 1.1254230141639709e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2094 8.3662307588383555e-05</internalNodes>
-          <leafValues>
-            -1.2372410297393799e-01 4.4758491218090057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2095 5.2631269209086895e-03</internalNodes>
-          <leafValues>
-            1.6644699499011040e-02 -2.7927619218826294e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2096 5.9906251408392563e-05</internalNodes>
-          <leafValues>
-            -5.9021618217229843e-02 9.0707242488861084e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2097 4.0492799878120422e-01</internalNodes>
-          <leafValues>
-            9.8951030522584915e-03 -5.3900748491287231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2098 4.5421868562698364e-03</internalNodes>
-          <leafValues>
-            -8.3042033016681671e-02 5.7933621108531952e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2099 -2.8602469712495804e-02</internalNodes>
-          <leafValues>
-            9.8798967897891998e-02 -4.1183408349752426e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2100 6.0981088317930698e-03</internalNodes>
-          <leafValues>
-            -4.9600891768932343e-02 1.0823159664869308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2101 2.4081019219011068e-03</internalNodes>
-          <leafValues>
-            3.1793300062417984e-02 -8.9700646698474884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2102 -1.0493289679288864e-01</internalNodes>
-          <leafValues>
-            -1.8384000658988953e-01 2.9272029176354408e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2103 -7.2810851270332932e-04</internalNodes>
-          <leafValues>
-            3.4607950598001480e-02 -1.8057569861412048e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2104 2.3983051069080830e-03</internalNodes>
-          <leafValues>
-            -3.6649569869041443e-02 1.4693680405616760e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2105 4.4842050410807133e-03</internalNodes>
-          <leafValues>
-            2.5456009432673454e-02 -1.7060090601444244e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2106 5.5928908288478851e-02</internalNodes>
-          <leafValues>
-            6.9079152308404446e-03 -7.4263191223144531e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2107 -1.1314620263874531e-02</internalNodes>
-          <leafValues>
-            -6.5691602230072021e-01 3.0682450160384178e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2108 5.2855871617794037e-03</internalNodes>
-          <leafValues>
-            1.2209150008857250e-02 -4.1138368844985962e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2109 -3.5499120131134987e-03</internalNodes>
-          <leafValues>
-            1.5674009919166565e-01 -1.3673329725861549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2110 -1.6200989484786987e-02</internalNodes>
-          <leafValues>
-            -4.5118838548660278e-01 1.0513720102608204e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2111 -6.3212178647518158e-03</internalNodes>
-          <leafValues>
-            2.4671469628810883e-01 -2.2179229184985161e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2112 6.7806281149387360e-02</internalNodes>
-          <leafValues>
-            1.4192859642207623e-02 -4.5575699210166931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2113 4.4995149970054626e-01</internalNodes>
-          <leafValues>
-            -2.0509930327534676e-02 2.3841699957847595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2114 -1.6068010032176971e-01</internalNodes>
-          <leafValues>
-            -7.9124170541763306e-01 5.4184817709028721e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2115 -9.4610815867781639e-03</internalNodes>
-          <leafValues>
-            -2.4211630225181580e-01 9.1182524338364601e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2116 1.4758739620447159e-02</internalNodes>
-          <leafValues>
-            -4.1610460728406906e-02 1.3534289598464966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2117 6.5756370313465595e-03</internalNodes>
-          <leafValues>
-            9.3746017664670944e-03 -8.3214268088340759e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2118 5.7711522094905376e-03</internalNodes>
-          <leafValues>
-            2.6692569255828857e-02 -1.9803330302238464e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2119 -5.0913479179143906e-02</internalNodes>
-          <leafValues>
-            3.2146498560905457e-01 -1.6986150294542313e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2120 6.3694868003949523e-05</internalNodes>
-          <leafValues>
-            -8.4535129368305206e-02 6.8501226603984833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2121 -2.1522149909287691e-03</internalNodes>
-          <leafValues>
-            5.4858829826116562e-02 -4.8125740140676498e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2122 -4.0621249936521053e-03</internalNodes>
-          <leafValues>
-            3.1572619080543518e-01 -1.7434440553188324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2123 -3.5119060426950455e-02</internalNodes>
-          <leafValues>
-            -4.5856899023056030e-01 1.4954689890146255e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2124 -1.2798880226910114e-02</internalNodes>
-          <leafValues>
-            -1.5211139619350433e-01 3.4501589834690094e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2125 -5.3432481363415718e-03</internalNodes>
-          <leafValues>
-            -2.0269839465618134e-01 1.3967310078442097e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2126 -3.0109770596027374e-03</internalNodes>
-          <leafValues>
-            2.3964940011501312e-01 -2.1433170884847641e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2127 7.9564087092876434e-02</internalNodes>
-          <leafValues>
-            1.6967510804533958e-02 -3.1260809302330017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2128 -1.6894670203328133e-02</internalNodes>
-          <leafValues>
-            1.4590300619602203e-01 -3.4819670021533966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2129 6.5786761045455933e-01</internalNodes>
-          <leafValues>
-            -1.3023089617490768e-02 4.1044768691062927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2130 -1.1272220313549042e-01</internalNodes>
-          <leafValues>
-            -3.7772709131240845e-01 1.5922689810395241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2131 1.7792880535125732e-02</internalNodes>
-          <leafValues>
-            1.1819509789347649e-02 -2.4668039381504059e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2132 3.3843109849840403e-03</internalNodes>
-          <leafValues>
-            4.2096659541130066e-02 -1.3628929853439331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2133 1.2930380180478096e-02</internalNodes>
-          <leafValues>
-            1.5634240582585335e-02 -3.1559720635414124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2134 1.9866120070219040e-02</internalNodes>
-          <leafValues>
-            -1.9867179915308952e-02 2.7292838692665100e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2135 -2.0256979390978813e-02</internalNodes>
-          <leafValues>
-            -7.5079268217086792e-01 3.6987708881497383e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2136 -6.8132500164210796e-03</internalNodes>
-          <leafValues>
-            -1.8717190623283386e-01 2.9125010594725609e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2137 -1.3450549915432930e-02</internalNodes>
-          <leafValues>
-            2.4198499321937561e-01 -1.1136880144476891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2138 -5.3866169764660299e-05</internalNodes>
-          <leafValues>
-            7.5190216302871704e-02 -7.5837813317775726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2139 5.0485909014241770e-05</internalNodes>
-          <leafValues>
-            -4.7988038510084152e-02 5.0790980458259583e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2140 -6.4496016420889646e-05</internalNodes>
-          <leafValues>
-            8.6316317319869995e-02 -6.7659139633178711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2141 -4.8561800213064998e-05</internalNodes>
-          <leafValues>
-            9.5296271145343781e-02 -7.2032049298286438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2142 5.0147060392191634e-05</internalNodes>
-          <leafValues>
-            -7.0621952414512634e-02 9.1684870421886444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2143 7.7007611980661750e-04</internalNodes>
-          <leafValues>
-            -3.1202390789985657e-02 5.4991550743579865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2144 9.6719879657030106e-03</internalNodes>
-          <leafValues>
-            -4.3330889195203781e-02 1.1517649888992310e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2145 7.5680748559534550e-03</internalNodes>
-          <leafValues>
-            -2.3294750601053238e-02 2.0603770017623901e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2146 5.0460308557376266e-04</internalNodes>
-          <leafValues>
-            5.1032479852437973e-02 -1.1277139931917191e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2147 -3.7291790358722210e-03</internalNodes>
-          <leafValues>
-            7.9139657318592072e-02 -2.0108159631490707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2148 1.5590510331094265e-02</internalNodes>
-          <leafValues>
-            1.7876299098134041e-02 -3.2968211174011230e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2149 -5.4314311593770981e-02</internalNodes>
-          <leafValues>
-            -5.6021261215209961e-01 1.0424769716337323e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2150 7.8423749655485153e-03</internalNodes>
-          <leafValues>
-            -3.4334991127252579e-02 1.7766019701957703e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2151 6.9496310316026211e-03</internalNodes>
-          <leafValues>
-            1.1910869739949703e-02 -2.8336969017982483e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2152 -4.2853900231420994e-03</internalNodes>
-          <leafValues>
-            -2.3308420181274414e-01 2.2341530770063400e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2153 4.8665860958863050e-05</internalNodes>
-          <leafValues>
-            -4.3898120522499084e-02 4.3758340179920197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2154 -5.6118220527423546e-05</internalNodes>
-          <leafValues>
-            8.0828711390495300e-02 -6.9480091333389282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2155 -4.8432860523462296e-02</internalNodes>
-          <leafValues>
-            -7.9129552841186523e-01 6.5139750950038433e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2156 1.5224199742078781e-02</internalNodes>
-          <leafValues>
-            -4.0089219808578491e-02 1.3455769419670105e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2157 -1.2872340157628059e-02</internalNodes>
-          <leafValues>
-            5.6049060076475143e-02 -2.4543890729546547e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2158 2.8247250244021416e-02</internalNodes>
-          <leafValues>
-            -3.9471641182899475e-02 1.5137889981269836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2159 7.4682589620351791e-03</internalNodes>
-          <leafValues>
-            1.3042449951171875e-02 -2.0481270551681519e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2160 -4.6974901109933853e-02</internalNodes>
-          <leafValues>
-            8.0171698331832886e-01 -7.1750162169337273e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2161 1.3225469738245010e-02</internalNodes>
-          <leafValues>
-            -1.3960069976747036e-02 1.7298750579357147e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2162 2.1193178836256266e-03</internalNodes>
-          <leafValues>
-            4.6903520822525024e-02 -1.5726210176944733e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2163 2.1487170457839966e-01</internalNodes>
-          <leafValues>
-            3.7922300398349762e-03 -3.8143840432167053e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2164 1.5091340243816376e-01</internalNodes>
-          <leafValues>
-            -1.3922699727118015e-02 4.0974789857864380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2165 -2.3029349744319916e-01</internalNodes>
-          <leafValues>
-            -5.8206570148468018e-01 1.1216839775443077e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2166 1.4030410349369049e-01</internalNodes>
-          <leafValues>
-            1.6904490068554878e-02 -3.6825358867645264e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2167 7.0036112447269261e-05</internalNodes>
-          <leafValues>
-            -5.5154349654912949e-02 7.2621561586856842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2168 4.9608469009399414e-01</internalNodes>
-          <leafValues>
-            7.3583098128437996e-03 -7.0183300971984863e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2169 -2.3255969863384962e-03</internalNodes>
-          <leafValues>
-            -1.4822499454021454e-01 3.2614789903163910e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2170 -1.3885440304875374e-02</internalNodes>
-          <leafValues>
-            1.6097649931907654e-01 -3.3147368580102921e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2171 -7.6077110134065151e-03</internalNodes>
-          <leafValues>
-            -5.0956517457962036e-01 5.0284918397665024e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2172 2.9671129304915667e-03</internalNodes>
-          <leafValues>
-            3.1977619975805283e-02 -1.9695889949798584e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2173 5.5358321405947208e-03</internalNodes>
-          <leafValues>
-            -5.6520581245422363e-02 1.0753619670867920e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2174 -7.1021996438503265e-02</internalNodes>
-          <leafValues>
-            7.9194337129592896e-02 -8.1384330987930298e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2175 4.5800071209669113e-02</internalNodes>
-          <leafValues>
-            -3.0750399455428123e-02 1.5652079880237579e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2176 6.7807468585669994e-03</internalNodes>
-          <leafValues>
-            1.8944440409541130e-02 -3.0112281441688538e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2177 -1.9455070141702890e-03</internalNodes>
-          <leafValues>
-            1.2722960114479065e-01 -2.5484839454293251e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2178 1.8618459999561310e-01</internalNodes>
-          <leafValues>
-            9.0244021266698837e-03 -5.4486262798309326e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2179 -5.9605968999676406e-05</internalNodes>
-          <leafValues>
-            6.2663361430168152e-02 -5.3432390093803406e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2180 -2.3714829236268997e-02</internalNodes>
-          <leafValues>
-            -6.0180211067199707e-01 7.9368790611624718e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2181 -3.1358301639556885e-02</internalNodes>
-          <leafValues>
-            -1.7721989750862122e-01 9.2706838622689247e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2182 -3.4968998283147812e-02</internalNodes>
-          <leafValues>
-            3.7945351004600525e-01 -1.6990920528769493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2183 -6.2416650354862213e-02</internalNodes>
-          <leafValues>
-            -4.1591739654541016e-01 4.8467209562659264e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2184 4.2283751070499420e-02</internalNodes>
-          <leafValues>
-            9.8220221698284149e-03 -4.7655558586120605e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2185 5.1127527840435505e-03</internalNodes>
-          <leafValues>
-            -3.6782070994377136e-02 1.6474020481109619e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2186 -1.1211450211703777e-02</internalNodes>
-          <leafValues>
-            1.8803590536117554e-01 -2.7652859687805176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2187 5.2367132157087326e-03</internalNodes>
-          <leafValues>
-            2.8679000213742256e-02 -1.7751020193099976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2188 -5.3686140745412558e-05</internalNodes>
-          <leafValues>
-            7.5371779501438141e-02 -6.6665068268775940e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2189 1.2840200215578079e-02</internalNodes>
-          <leafValues>
-            2.1807890385389328e-02 -1.2720319628715515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2190 4.2792808264493942e-02</internalNodes>
-          <leafValues>
-            7.5381440110504627e-03 -7.1861362457275391e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2191 -5.2706589922308922e-03</internalNodes>
-          <leafValues>
-            9.8822019994258881e-02 -4.4858880341053009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2192 -8.2180468598380685e-04</internalNodes>
-          <leafValues>
-            -1.0595670342445374e-01 4.4027641415596008e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2193 -1.9295280799269676e-02</internalNodes>
-          <leafValues>
-            -4.1217219829559326e-01 2.9048579744994640e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2194 -2.0072490442544222e-03</internalNodes>
-          <leafValues>
-            1.1491479724645615e-01 -4.5590780675411224e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2195 -5.5046308785676956e-02</internalNodes>
-          <leafValues>
-            1.8940329551696777e-01 -1.1900239624083042e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2196 -1.1249479651451111e-01</internalNodes>
-          <leafValues>
-            2.4269099533557892e-01 -2.2053480148315430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2197 9.5265945419669151e-03</internalNodes>
-          <leafValues>
-            -3.8553819060325623e-02 3.0138580128550529e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2198 8.8573405519127846e-03</internalNodes>
-          <leafValues>
-            -6.4660146832466125e-02 8.5030071437358856e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2199 -5.3099901415407658e-03</internalNodes>
-          <leafValues>
-            -7.7924527227878571e-02 5.1822390407323837e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2200 1.5247969329357147e-01</internalNodes>
-          <leafValues>
-            1.7019810155034065e-02 -2.8019899129867554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2201 -5.1454458385705948e-02</internalNodes>
-          <leafValues>
-            -2.2231650352478027e-01 8.8541666045784950e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2202 2.5466380640864372e-02</internalNodes>
-          <leafValues>
-            -5.4948728531599045e-02 8.9072257280349731e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2203 2.5437718629837036e-01</internalNodes>
-          <leafValues>
-            2.0636660046875477e-03 -8.7088710069656372e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2204 -2.2862739861011505e-01</internalNodes>
-          <leafValues>
-            2.0034660398960114e-01 -2.5318780913949013e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2205 -1.1813339777290821e-02</internalNodes>
-          <leafValues>
-            1.3387170433998108e-01 -3.6503531038761139e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2206 -2.0118320360779762e-02</internalNodes>
-          <leafValues>
-            -2.0123849809169769e-01 2.8073679655790329e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2207 2.1774079650640488e-02</internalNodes>
-          <leafValues>
-            -6.5130768343806267e-03 2.8022170066833496e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2208 4.8404871486127377e-03</internalNodes>
-          <leafValues>
-            -2.9814250767230988e-02 1.5977649390697479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2209 -1.1922290286747739e-04</internalNodes>
-          <leafValues>
-            3.4044638276100159e-02 -1.6057680547237396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2210 -7.2792158462107182e-03</internalNodes>
-          <leafValues>
-            -4.8334380984306335e-01 9.9527724087238312e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2211 2.5904899302986450e-05</internalNodes>
-          <leafValues>
-            -3.8143690675497055e-02 4.7028180211782455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2212 -9.0986102819442749e-02</internalNodes>
-          <leafValues>
-            2.6971128582954407e-01 -1.7947979271411896e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2213 -2.0878769457340240e-01</internalNodes>
-          <leafValues>
-            2.3006640374660492e-01 -2.1609179675579071e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2214 -7.0507721975445747e-03</internalNodes>
-          <leafValues>
-            -2.5048211216926575e-01 2.0052019506692886e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2215 8.9825186878442764e-03</internalNodes>
-          <leafValues>
-            -1.8023729324340820e-02 2.9516848921775818e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2216 5.9706211090087891e-02</internalNodes>
-          <leafValues>
-            -1.2844909913837910e-02 3.5593861341476440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2217 -1.0364769957959652e-02</internalNodes>
-          <leafValues>
-            -2.0093110203742981e-01 2.7827220037579536e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2218 -1.9454259425401688e-02</internalNodes>
-          <leafValues>
-            -5.3035300970077515e-01 9.0706236660480499e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2219 -2.1027070470154285e-03</internalNodes>
-          <leafValues>
-            8.8599607348442078e-02 -3.6157719790935516e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2220 7.5333649292588234e-03</internalNodes>
-          <leafValues>
-            -2.4457870051264763e-02 1.9365130364894867e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2221 5.1182601600885391e-03</internalNodes>
-          <leafValues>
-            1.7408149316906929e-02 -2.2554570436477661e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2222 2.1947720088064671e-03</internalNodes>
-          <leafValues>
-            2.9690459370613098e-02 -1.9585029780864716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2223 4.1202981024980545e-02</internalNodes>
-          <leafValues>
-            -1.3297099620103836e-02 1.0000280290842056e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2224 1.6161680221557617e-02</internalNodes>
-          <leafValues>
-            4.0170218795537949e-02 -1.3210490345954895e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2225 1.2740600109100342e-01</internalNodes>
-          <leafValues>
-            9.2737795785069466e-03 -2.3941579461097717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2226 -2.6743640191853046e-03</internalNodes>
-          <leafValues>
-            2.3251029849052429e-01 -2.3273019120097160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2227 -1.1705280095338821e-01</internalNodes>
-          <leafValues>
-            -2.1834470331668854e-01 1.3516159728169441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2228 6.6700777970254421e-03</internalNodes>
-          <leafValues>
-            -4.3667081743478775e-02 1.0799729824066162e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2229 4.0056079626083374e-02</internalNodes>
-          <leafValues>
-            -6.8564810790121555e-03 2.9377210140228271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2230 -4.5556342229247093e-03</internalNodes>
-          <leafValues>
-            1.1046539992094040e-01 -4.6572249382734299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2231 3.1573511660099030e-02</internalNodes>
-          <leafValues>
-            9.8816202953457832e-03 -4.1573968529701233e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2232 -2.4809420108795166e-02</internalNodes>
-          <leafValues>
-            -3.3196479082107544e-01 1.4033090323209763e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2233 -2.8404951444827020e-04</internalNodes>
-          <leafValues>
-            -9.7788289189338684e-02 2.3671500384807587e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2234 4.0798787958920002e-03</internalNodes>
-          <leafValues>
-            6.7953333258628845e-02 -9.0779386460781097e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2235 -2.2680750116705894e-02</internalNodes>
-          <leafValues>
-            -8.0813902616500854e-01 3.1646140851080418e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2236 -1.6572299646213651e-03</internalNodes>
-          <leafValues>
-            1.4296419918537140e-01 -3.2175339758396149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2237 -2.0962789654731750e-02</internalNodes>
-          <leafValues>
-            -7.5405949354171753e-01 3.1872680410742760e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2238 -1.0227429447695613e-03</internalNodes>
-          <leafValues>
-            8.3290070295333862e-02 -5.5208690464496613e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2239 -3.0178760644048452e-03</internalNodes>
-          <leafValues>
-            -4.1023060679435730e-02 1.9629580900073051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2240 1.9140060245990753e-01</internalNodes>
-          <leafValues>
-            1.7543679103255272e-02 -2.5566551089286804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2241 -1.8952760845422745e-02</internalNodes>
-          <leafValues>
-            3.2863160967826843e-01 -4.8918230459094048e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2242 -4.5249331742525101e-03</internalNodes>
-          <leafValues>
-            -1.5619170665740967e-01 2.9538759961724281e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2243 -4.9335299991071224e-03</internalNodes>
-          <leafValues>
-            -1.5361049771308899e-01 1.2712599709630013e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2244 1.8985930830240250e-02</internalNodes>
-          <leafValues>
-            -3.9585389196872711e-02 1.2031179666519165e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2245 -1.5369809698313475e-03</internalNodes>
-          <leafValues>
-            5.1183801144361496e-02 -1.9807800650596619e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2246 3.1302288174629211e-02</internalNodes>
-          <leafValues>
-            7.9048639163374901e-03 -5.4225182533264160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2247 -7.9099438153207302e-04</internalNodes>
-          <leafValues>
-            7.3334179818630219e-02 -2.4761039763689041e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2248 4.5027391024632379e-05</internalNodes>
-          <leafValues>
-            -6.7761823534965515e-02 6.7263968288898468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2249 5.1923059800174087e-05</internalNodes>
-          <leafValues>
-            -3.4273158758878708e-02 3.8594700396060944e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2250 -5.7095869124168530e-05</internalNodes>
-          <leafValues>
-            8.3823829889297485e-02 -6.6085226833820343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2251 -1.2159290164709091e-01</internalNodes>
-          <leafValues>
-            -7.0010262727737427e-01 1.8631670391187072e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2252 1.7494540661573410e-02</internalNodes>
-          <leafValues>
-            2.5959860533475876e-02 -1.8100750446319580e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2253 -6.3360072672367096e-02</internalNodes>
-          <leafValues>
-            1.3021109998226166e-01 -8.8773788884282112e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2254 -3.9351868629455566e-01</internalNodes>
-          <leafValues>
-            -6.3525807857513428e-01 8.2348221912980080e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2255 -1.4749130234122276e-02</internalNodes>
-          <leafValues>
-            5.7367369532585144e-02 -7.7454112470149994e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2256 7.4586831033229828e-03</internalNodes>
-          <leafValues>
-            -7.3831513524055481e-02 7.2971351444721222e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2257 6.0465059505077079e-05</internalNodes>
-          <leafValues>
-            -6.8741306662559509e-02 8.3382681012153625e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2258 6.3182349549606442e-05</internalNodes>
-          <leafValues>
-            -6.4837761223316193e-02 7.9487666487693787e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2259 -1.7990749329328537e-02</internalNodes>
-          <leafValues>
-            -3.4188538789749146e-01 8.2358242943882942e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2260 -1.7810800345614552e-03</internalNodes>
-          <leafValues>
-            8.3142079412937164e-02 -6.6293247044086456e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>356</maxWeakCount>
-      <stageThreshold>-1.1554880142211914e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 2261 5.2821958065032959e-01</internalNodes>
-          <leafValues>
-            -1.1207380145788193e-01 4.6492001414299011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2262 -8.3934608846902847e-03</internalNodes>
-          <leafValues>
-            1.2420009821653366e-01 -9.8423361778259277e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2263 -1.2533710338175297e-02</internalNodes>
-          <leafValues>
-            1.2940670549869537e-01 -2.1826070547103882e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2264 -2.6514590717852116e-03</internalNodes>
-          <leafValues>
-            1.0746669769287109e-01 -6.5223596990108490e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2265 -1.2469879584386945e-03</internalNodes>
-          <leafValues>
-            9.4827726483345032e-02 -1.9725410640239716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2266 -1.0506220161914825e-02</internalNodes>
-          <leafValues>
-            -1.7862290143966675e-01 7.0718586444854736e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2267 -1.4628679491579533e-03</internalNodes>
-          <leafValues>
-            7.7305212616920471e-02 -1.5881679952144623e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2268 1.1747170239686966e-02</internalNodes>
-          <leafValues>
-            4.1279338300228119e-02 -1.6574889421463013e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2269 2.1636099554598331e-03</internalNodes>
-          <leafValues>
-            -8.1736542284488678e-02 1.8447269499301910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2270 -1.5604849904775620e-02</internalNodes>
-          <leafValues>
-            1.8409819900989532e-01 9.1587323695421219e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2271 -6.7909010685980320e-03</internalNodes>
-          <leafValues>
-            1.9271300733089447e-01 -6.1005659401416779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2272 -4.6382728032767773e-03</internalNodes>
-          <leafValues>
-            7.2124399244785309e-02 -1.5475249290466309e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2273 -1.0595080256462097e-01</internalNodes>
-          <leafValues>
-            1.6988320648670197e-01 -7.7400818467140198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2274 2.2278100252151489e-02</internalNodes>
-          <leafValues>
-            3.0081849545240402e-02 -3.1891208887100220e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2275 3.8351129740476608e-02</internalNodes>
-          <leafValues>
-            -2.9357129707932472e-02 3.7845009565353394e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2276 1.2740549631416798e-02</internalNodes>
-          <leafValues>
-            1.2108690105378628e-02 -2.8980401158332825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2277 -1.1967839673161507e-02</internalNodes>
-          <leafValues>
-            -2.7529829740524292e-01 3.3420279622077942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2278 6.2382412143051624e-03</internalNodes>
-          <leafValues>
-            2.3227069526910782e-02 -2.8768861293792725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2279 1.2571290135383606e-03</internalNodes>
-          <leafValues>
-            -1.2283419817686081e-01 7.7545933425426483e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2280 9.7746416926383972e-02</internalNodes>
-          <leafValues>
-            1.2077139690518379e-02 -3.2092699408531189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2281 -5.9180860407650471e-03</internalNodes>
-          <leafValues>
-            -2.2756209969520569e-01 4.4753268361091614e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2282 6.4139030873775482e-03</internalNodes>
-          <leafValues>
-            4.0146928280591965e-02 -5.0460521131753922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2283 9.2285759747028351e-03</internalNodes>
-          <leafValues>
-            2.3475490510463715e-02 -3.7728920578956604e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2284 -2.6009760331362486e-03</internalNodes>
-          <leafValues>
-            5.8036070317029953e-02 -3.9748001843690872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2285 4.5100939460098743e-03</internalNodes>
-          <leafValues>
-            -1.5007099509239197e-01 6.4765617251396179e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2286 -3.0929979681968689e-01</internalNodes>
-          <leafValues>
-            -3.6162209510803223e-01 5.2778669632971287e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2287 1.6643610596656799e-01</internalNodes>
-          <leafValues>
-            5.8025740087032318e-02 -1.6670639812946320e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2288 -2.9249170795083046e-02</internalNodes>
-          <leafValues>
-            -1.0418120026588440e-01 4.7381941229104996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2289 5.7897690683603287e-02</internalNodes>
-          <leafValues>
-            -8.2713462412357330e-02 1.2301749736070633e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2290 4.3999850749969482e-02</internalNodes>
-          <leafValues>
-            3.1090460252016783e-03 -3.8884210586547852e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2291 -1.3344550132751465e-01</internalNodes>
-          <leafValues>
-            -2.7564039826393127e-01 3.0734259635210037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2292 8.4765329957008362e-03</internalNodes>
-          <leafValues>
-            2.6562379673123360e-02 -2.8648358583450317e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2293 6.2942858785390854e-03</internalNodes>
-          <leafValues>
-            1.9861690700054169e-02 -3.6465620994567871e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2294 1.1854199692606926e-02</internalNodes>
-          <leafValues>
-            -4.8169068992137909e-02 1.5777969360351562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2295 -1.0978949815034866e-01</internalNodes>
-          <leafValues>
-            -2.1610009670257568e-01 3.5239979624748230e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2296 1.2859810376539826e-03</internalNodes>
-          <leafValues>
-            -7.6805353164672852e-02 9.9000319838523865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2297 1.0880099982023239e-01</internalNodes>
-          <leafValues>
-            -9.8220370709896088e-02 1.1628390103578568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2298 1.4206060208380222e-02</internalNodes>
-          <leafValues>
-            4.8896879889070988e-03 -3.8383349776268005e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2299 1.3263390399515629e-02</internalNodes>
-          <leafValues>
-            2.2176699712872505e-02 -3.8806360960006714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2300 7.9566845670342445e-03</internalNodes>
-          <leafValues>
-            -7.1314819157123566e-02 7.4114650487899780e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2301 7.6957657933235168e-02</internalNodes>
-          <leafValues>
-            -3.6166220903396606e-02 2.5757679343223572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2302 1.0020350106060505e-02</internalNodes>
-          <leafValues>
-            -7.8531332314014435e-02 6.3383802771568298e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2303 9.2017520219087601e-03</internalNodes>
-          <leafValues>
-            2.9391989111900330e-02 -2.5732880830764771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2304 3.0723180621862411e-02</internalNodes>
-          <leafValues>
-            -1.8738139420747757e-02 2.2832340002059937e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2305 1.1019960045814514e-02</internalNodes>
-          <leafValues>
-            -5.3296729922294617e-02 1.7494520545005798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2306 -2.7454070746898651e-02</internalNodes>
-          <leafValues>
-            1.7024679481983185e-01 -8.2028387114405632e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2307 -1.3689819723367691e-02</internalNodes>
-          <leafValues>
-            2.0019780099391937e-01 -4.1991960257291794e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2308 -8.1678535789251328e-03</internalNodes>
-          <leafValues>
-            -2.6262301206588745e-01 1.0354639962315559e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2309 1.0099980048835278e-02</internalNodes>
-          <leafValues>
-            -4.4948261231184006e-02 1.8523730337619781e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2310 2.0024929940700531e-01</internalNodes>
-          <leafValues>
-            -3.6824479699134827e-02 2.4072830379009247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2311 3.7789789494127035e-03</internalNodes>
-          <leafValues>
-            -1.3910900056362152e-01 7.6126843690872192e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2312 -1.1101000010967255e-02</internalNodes>
-          <leafValues>
-            2.3991499841213226e-01 -3.6410998553037643e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2313 6.2072020024061203e-02</internalNodes>
-          <leafValues>
-            2.7602510526776314e-02 -2.9762440919876099e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2314 -4.9415021203458309e-04</internalNodes>
-          <leafValues>
-            4.3032951653003693e-02 -1.6109019517898560e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2315 -3.5258450079709291e-03</internalNodes>
-          <leafValues>
-            -1.7413130402565002e-01 5.7513698935508728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2316 5.6127668358385563e-03</internalNodes>
-          <leafValues>
-            -2.4234469980001450e-02 9.8788991570472717e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2317 3.7660789676010609e-03</internalNodes>
-          <leafValues>
-            -3.6623299121856689e-02 2.0090830326080322e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2318 1.5459409914910793e-02</internalNodes>
-          <leafValues>
-            7.6649021357297897e-03 -2.0163559913635254e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2319 -1.0357989929616451e-02</internalNodes>
-          <leafValues>
-            -4.2395240068435669e-01 1.7005009576678276e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2320 -1.3180119916796684e-02</internalNodes>
-          <leafValues>
-            -2.8122058510780334e-01 2.5302259251475334e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2321 3.6393520236015320e-01</internalNodes>
-          <leafValues>
-            1.0694099590182304e-02 -6.5183037519454956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2322 4.5797090977430344e-02</internalNodes>
-          <leafValues>
-            -1.0829409584403038e-03 -6.0917937755584717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2323 -1.6817899420857430e-02</internalNodes>
-          <leafValues>
-            2.4067279696464539e-01 -2.8841640800237656e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2324 -6.9932773709297180e-02</internalNodes>
-          <leafValues>
-            -2.4569059908390045e-01 1.4374910097103566e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2325 3.7072949111461639e-02</internalNodes>
-          <leafValues>
-            1.2047279626131058e-02 -6.1824947595596313e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2326 -2.2509139962494373e-03</internalNodes>
-          <leafValues>
-            -1.3868570327758789e-01 2.3441780358552933e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2327 -4.1130598634481430e-02</internalNodes>
-          <leafValues>
-            -4.9580198526382446e-01 1.2616300024092197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2328 2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            -7.0274658501148224e-02 6.5245926380157471e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2329 -3.2828738912940025e-03</internalNodes>
-          <leafValues>
-            -2.1801410615444183e-01 2.8452510014176369e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2330 -5.8957811444997787e-02</internalNodes>
-          <leafValues>
-            -1.1310169845819473e-01 3.5647820681333542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2331 3.2863670639926568e-05</internalNodes>
-          <leafValues>
-            -6.9775812327861786e-02 9.4940163195133209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2332 -7.3036700487136841e-02</internalNodes>
-          <leafValues>
-            1.0691460222005844e-01 -8.9681193232536316e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2333 -1.0581959784030914e-01</internalNodes>
-          <leafValues>
-            1.8230620026588440e-01 -3.8819670677185059e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2334 4.6694820048287511e-04</internalNodes>
-          <leafValues>
-            -1.0075339674949646e-01 6.5119899809360504e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2335 -2.5920490734279156e-03</internalNodes>
-          <leafValues>
-            -2.5448209047317505e-01 2.3101860657334328e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2336 1.0439500212669373e-02</internalNodes>
-          <leafValues>
-            4.0941308252513409e-03 -5.8273357152938843e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2337 -2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            6.0636729001998901e-02 -1.0014739632606506e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2338 -2.2808990906924009e-03</internalNodes>
-          <leafValues>
-            1.8519909679889679e-01 -2.5434119626879692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2339 -2.0937379449605942e-03</internalNodes>
-          <leafValues>
-            -1.9199110567569733e-01 3.3368378877639771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2340 -2.1821799874305725e-01</internalNodes>
-          <leafValues>
-            3.0659881234169006e-01 -2.1840380504727364e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2341 1.1518020182847977e-02</internalNodes>
-          <leafValues>
-            -1.0706210136413574e-01 5.8232858777046204e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2342 -3.1504388898611069e-02</internalNodes>
-          <leafValues>
-            1.1767739802598953e-01 -4.5906491577625275e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2343 -2.9461419209837914e-02</internalNodes>
-          <leafValues>
-            -2.2960099577903748e-01 2.8894580900669098e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2344 -7.9243192449212074e-03</internalNodes>
-          <leafValues>
-            1.4196249842643738e-01 -1.2565449811518192e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2345 4.1360300965607166e-03</internalNodes>
-          <leafValues>
-            -2.8592340648174286e-02 2.0373730361461639e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2346 1.0430599562823772e-02</internalNodes>
-          <leafValues>
-            -4.2332988232374191e-02 5.2509099245071411e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2347 -2.4384139478206635e-01</internalNodes>
-          <leafValues>
-            3.3615669608116150e-01 -1.8990069627761841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2348 7.5686741620302200e-03</internalNodes>
-          <leafValues>
-            6.4027151092886925e-03 -3.0588310956954956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2349 1.2688450515270233e-03</internalNodes>
-          <leafValues>
-            -9.0141750872135162e-02 7.2941012680530548e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2350 3.0815709382295609e-02</internalNodes>
-          <leafValues>
-            2.9594700317829847e-03 -2.4351659417152405e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2351 2.1978209260851145e-03</internalNodes>
-          <leafValues>
-            -6.3376732170581818e-02 1.0065200179815292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2352 6.1282119713723660e-03</internalNodes>
-          <leafValues>
-            -3.8386259227991104e-02 6.6562168300151825e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2353 2.8037100564688444e-03</internalNodes>
-          <leafValues>
-            3.5719309002161026e-02 -1.5420930087566376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2354 -3.9568650536239147e-03</internalNodes>
-          <leafValues>
-            7.0916712284088135e-02 -3.9958059787750244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2355 1.3929230161011219e-02</internalNodes>
-          <leafValues>
-            -2.3392310366034508e-02 2.8147700428962708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2356 -1.0155060328543186e-02</internalNodes>
-          <leafValues>
-            -1.4042359590530396e-01 1.8515620380640030e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2357 1.4601370319724083e-02</internalNodes>
-          <leafValues>
-            1.2359219603240490e-02 -5.4975450038909912e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2358 5.3091858717380092e-05</internalNodes>
-          <leafValues>
-            -4.3967559933662415e-02 3.4709561616182327e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2359 -2.1016378886997700e-03</internalNodes>
-          <leafValues>
-            2.2752889990806580e-01 -2.8702080249786377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2360 6.4648198895156384e-03</internalNodes>
-          <leafValues>
-            1.8192790448665619e-02 -2.2275130450725555e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2361 -2.6089660823345184e-03</internalNodes>
-          <leafValues>
-            -1.4833129942417145e-01 4.2162369936704636e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2362 -4.9172870814800262e-02</internalNodes>
-          <leafValues>
-            1.8216049671173096e-01 -3.4944381564855576e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2363 -1.7964000580832362e-03</internalNodes>
-          <leafValues>
-            4.8824101686477661e-02 -1.8214319646358490e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2364 7.3850047774612904e-03</internalNodes>
-          <leafValues>
-            -4.1866000741720200e-02 1.8619979918003082e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2365 2.0502610132098198e-02</internalNodes>
-          <leafValues>
-            -5.8134358376264572e-02 1.3789500296115875e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2366 1.1636819690465927e-01</internalNodes>
-          <leafValues>
-            -5.5159669369459152e-02 6.7019522190093994e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2367 -5.8732312172651291e-03</internalNodes>
-          <leafValues>
-            2.3400300741195679e-01 -2.7389379218220711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2368 2.8881600499153137e-01</internalNodes>
-          <leafValues>
-            1.9362909719347954e-02 -1.6190120577812195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2369 -1.1966419965028763e-01</internalNodes>
-          <leafValues>
-            2.4559150636196136e-01 -2.5993959978222847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2370 3.8372459821403027e-03</internalNodes>
-          <leafValues>
-            -1.3896790146827698e-01 5.6779049336910248e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2371 -1.1065569706261158e-03</internalNodes>
-          <leafValues>
-            -1.6209499537944794e-01 3.6041721701622009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2372 8.6359567940235138e-02</internalNodes>
-          <leafValues>
-            -1.0209360159933567e-02 2.5007158517837524e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2373 -3.5953361541032791e-02</internalNodes>
-          <leafValues>
-            -7.5698071718215942e-01 8.1533808261156082e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2374 8.2757696509361267e-02</internalNodes>
-          <leafValues>
-            -1.1972229927778244e-02 1.3151499629020691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2375 1.4555160701274872e-01</internalNodes>
-          <leafValues>
-            2.5669520720839500e-02 -2.3377719521522522e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2376 6.6698692739009857e-02</internalNodes>
-          <leafValues>
-            1.8229909241199493e-02 -1.2386269867420197e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2377 9.8781272768974304e-02</internalNodes>
-          <leafValues>
-            -1.9738260656595230e-02 3.2106879353523254e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2378 -2.8243279457092285e-01</internalNodes>
-          <leafValues>
-            -5.4694139957427979e-01 2.3887760471552610e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2379 2.1013429760932922e-01</internalNodes>
-          <leafValues>
-            1.8199119716882706e-02 -3.6248031258583069e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2380 -6.5322709269821644e-04</internalNodes>
-          <leafValues>
-            5.5216301232576370e-02 -3.0892439186573029e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2381 -3.4593738615512848e-02</internalNodes>
-          <leafValues>
-            3.3557349443435669e-01 -1.5504119917750359e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2382 -5.2095651626586914e-03</internalNodes>
-          <leafValues>
-            -2.5957450270652771e-01 1.2371880002319813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2383 6.7268118262290955e-02</internalNodes>
-          <leafValues>
-            -6.2751926481723785e-02 9.1558992862701416e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2384 4.0582818910479546e-03</internalNodes>
-          <leafValues>
-            4.1073631495237350e-02 -1.5675480663776398e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2385 -4.4469390064477921e-02</internalNodes>
-          <leafValues>
-            -1.9344259798526764e-01 3.1193459406495094e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2386 -2.8536471072584391e-03</internalNodes>
-          <leafValues>
-            -7.4204660952091217e-02 8.2652583718299866e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2387 1.2151960283517838e-01</internalNodes>
-          <leafValues>
-            -1.7220549285411835e-02 3.7725690007209778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2388 5.2743978798389435e-02</internalNodes>
-          <leafValues>
-            7.3638479225337505e-03 -3.9580649137496948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2389 1.3366829603910446e-02</internalNodes>
-          <leafValues>
-            3.0281009152531624e-02 -1.7159000039100647e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2390 7.8486632555723190e-03</internalNodes>
-          <leafValues>
-            -2.2395020350813866e-02 1.5052449703216553e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2391 -3.8255099207162857e-03</internalNodes>
-          <leafValues>
-            1.3788110017776489e-01 -3.9005029946565628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2392 -1.4737069606781006e-01</internalNodes>
-          <leafValues>
-            9.8498381674289703e-02 -1.7566099762916565e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2393 7.1411043405532837e-02</internalNodes>
-          <leafValues>
-            2.3220099508762360e-02 -2.6759588718414307e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2394 1.6689129173755646e-02</internalNodes>
-          <leafValues>
-            -2.1761840209364891e-02 1.4617420732975006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2395 -3.2251640222966671e-03</internalNodes>
-          <leafValues>
-            1.1931479722261429e-01 -5.4029799997806549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2396 7.9702045768499374e-03</internalNodes>
-          <leafValues>
-            -5.4389618337154388e-02 7.2950288653373718e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2397 1.1626689694821835e-02</internalNodes>
-          <leafValues>
-            3.2414920628070831e-02 -1.7057350277900696e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2398 -3.3233501017093658e-02</internalNodes>
-          <leafValues>
-            -1.5321509540081024e-01 2.7658430859446526e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2399 1.6202520579099655e-02</internalNodes>
-          <leafValues>
-            -7.9839676618576050e-02 8.0415137112140656e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2400 -1.6993099823594093e-02</internalNodes>
-          <leafValues>
-            1.0708849877119064e-01 -2.7095580473542213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2401 5.2699539810419083e-03</internalNodes>
-          <leafValues>
-            -7.7671408653259277e-02 9.0478442609310150e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2402 -1.1230699717998505e-02</internalNodes>
-          <leafValues>
-            -3.6888670921325684e-01 1.4764210209250450e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2403 2.1683340892195702e-02</internalNodes>
-          <leafValues>
-            2.1191939711570740e-02 -2.4312150478363037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2404 -2.7136749122291803e-03</internalNodes>
-          <leafValues>
-            1.2931990623474121e-01 -1.8054159358143806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2405 3.8232649676501751e-03</internalNodes>
-          <leafValues>
-            -6.7757181823253632e-02 7.9043537378311157e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2406 1.2926490046083927e-02</internalNodes>
-          <leafValues>
-            2.2853519767522812e-02 -2.5793269276618958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2407 -2.6950810570269823e-03</internalNodes>
-          <leafValues>
-            2.1666090190410614e-01 -2.7097690850496292e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2408 2.1591490507125854e-01</internalNodes>
-          <leafValues>
-            4.6611670404672623e-03 -8.6887371540069580e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2409 1.6816329956054688e-01</internalNodes>
-          <leafValues>
-            1.4129919931292534e-02 -3.5010749101638794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2410 -4.9199439585208893e-02</internalNodes>
-          <leafValues>
-            -7.7299457788467407e-01 6.0964501462876797e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2411 2.6104740798473358e-02</internalNodes>
-          <leafValues>
-            6.1850231140851974e-03 -6.6869372129440308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2412 1.4541350305080414e-02</internalNodes>
-          <leafValues>
-            5.0752838142216206e-03 -7.4292498826980591e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2413 1.1107119498774409e-03</internalNodes>
-          <leafValues>
-            -3.4112259745597839e-02 1.5071749687194824e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2414 -1.0770659893751144e-02</internalNodes>
-          <leafValues>
-            -9.3431137502193451e-02 1.0186879895627499e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2415 9.4277620315551758e-02</internalNodes>
-          <leafValues>
-            -6.0080580413341522e-02 8.3786897361278534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2416 1.2355080246925354e-01</internalNodes>
-          <leafValues>
-            -4.1992601007223129e-02 9.3132473528385162e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2417 8.3645677566528320e-01</internalNodes>
-          <leafValues>
-            1.1344860307872295e-02 -5.4795432090759277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2418 3.5250179469585419e-02</internalNodes>
-          <leafValues>
-            -1.0818820446729660e-02 9.0401187539100647e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2419 -5.1221748435636982e-05</internalNodes>
-          <leafValues>
-            7.9516053199768066e-02 -6.6719420254230499e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2420 6.7162756749894470e-05</internalNodes>
-          <leafValues>
-            -4.4288840144872665e-02 5.3668409585952759e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2421 4.6395221725106239e-03</internalNodes>
-          <leafValues>
-            -8.4727346897125244e-02 6.2100611627101898e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2422 -1.3368109939619899e-03</internalNodes>
-          <leafValues>
-            -8.0351352691650391e-02 2.7986800298094749e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2423 -3.3781651407480240e-02</internalNodes>
-          <leafValues>
-            3.2461521029472351e-01 -1.6312640160322189e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2424 -1.7830280121415854e-03</internalNodes>
-          <leafValues>
-            -1.6490410268306732e-01 2.1757079288363457e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2425 2.0984211005270481e-03</internalNodes>
-          <leafValues>
-            2.9534770175814629e-02 -1.7951250076293945e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2426 -5.3364270570455119e-05</internalNodes>
-          <leafValues>
-            4.4331740587949753e-02 -3.6765310913324356e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2427 1.2269259989261627e-01</internalNodes>
-          <leafValues>
-            1.2407179921865463e-02 -4.0553379058837891e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2428 9.4987526535987854e-02</internalNodes>
-          <leafValues>
-            -3.5644270246848464e-04 -9.9994051456451416e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2429 -6.3772678375244141e-02</internalNodes>
-          <leafValues>
-            7.4163448810577393e-01 -6.8990588188171387e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2430 5.5591128766536713e-02</internalNodes>
-          <leafValues>
-            -3.5102190449833870e-03 2.1648910641670227e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2431 -1.5703400596976280e-02</internalNodes>
-          <leafValues>
-            -2.3365770280361176e-01 2.3516980931162834e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2432 -1.1627990007400513e-01</internalNodes>
-          <leafValues>
-            -1. 5.0003651995211840e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2433 6.3939712941646576e-02</internalNodes>
-          <leafValues>
-            8.5324635729193687e-03 -5.6500917673110962e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2434 1.8591650296002626e-03</internalNodes>
-          <leafValues>
-            -2.1516749635338783e-02 4.3187011033296585e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2435 2.3360128980129957e-03</internalNodes>
-          <leafValues>
-            4.5124590396881104e-02 -1.0887669771909714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2436 -5.8738891035318375e-02</internalNodes>
-          <leafValues>
-            -5.6496912240982056e-01 5.2059069275856018e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2437 3.7132750730961561e-03</internalNodes>
-          <leafValues>
-            -1.3463160023093224e-02 3.7635311484336853e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2438 2.0255730487406254e-03</internalNodes>
-          <leafValues>
-            3.1444959342479706e-02 -1.2322609871625900e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2439 -6.3382161897607148e-05</internalNodes>
-          <leafValues>
-            7.7033013105392456e-02 -6.6739097237586975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2440 1.2969060242176056e-01</internalNodes>
-          <leafValues>
-            3.6417250521481037e-03 -4.1131299734115601e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2441 -1.1913739889860153e-01</internalNodes>
-          <leafValues>
-            -6.0263478755950928e-01 7.9903472214937210e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2442 -1.2801880016922951e-02</internalNodes>
-          <leafValues>
-            -5.9771001338958740e-01 1.0519300121814013e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2443 -1.9107370078563690e-01</internalNodes>
-          <leafValues>
-            -8.1298089027404785e-01 5.7100728154182434e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2444 2.2893320769071579e-02</internalNodes>
-          <leafValues>
-            1.9452519714832306e-02 -1.6321709752082825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2445 1.7033159732818604e-01</internalNodes>
-          <leafValues>
-            -1.9810710102319717e-02 2.4343749880790710e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2446 3.8168561458587646e-01</internalNodes>
-          <leafValues>
-            7.4787861667573452e-03 -8.3872407674789429e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2447 -6.2416237778961658e-03</internalNodes>
-          <leafValues>
-            -1.4228279888629913e-01 3.3278539776802063e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2448 8.4588013589382172e-02</internalNodes>
-          <leafValues>
-            1.6765499487519264e-02 -9.2857971787452698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2449 2.2514959797263145e-02</internalNodes>
-          <leafValues>
-            8.7925590574741364e-02 -7.1550369262695312e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2450 -1.9668120145797729e-01</internalNodes>
-          <leafValues>
-            8.3321869373321533e-02 -2.0352829247713089e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2451 -2.1616910398006439e-01</internalNodes>
-          <leafValues>
-            2.9649278521537781e-01 -1.6111530363559723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2452 -8.8920090347528458e-03</internalNodes>
-          <leafValues>
-            1.3778349757194519e-01 -3.5843171179294586e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2453 -1.2084799818694592e-02</internalNodes>
-          <leafValues>
-            -4.3843948841094971e-01 1.2365490198135376e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2454 2.5806298851966858e-01</internalNodes>
-          <leafValues>
-            -5.2921390160918236e-03 3.7774148583412170e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2455 1.4883230440318584e-02</internalNodes>
-          <leafValues>
-            9.0738674625754356e-03 -5.5208402872085571e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2456 6.6914242506027222e-01</internalNodes>
-          <leafValues>
-            -1.4938499778509140e-02 1.7851120233535767e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2457 -4.9930079840123653e-03</internalNodes>
-          <leafValues>
-            -2.3148590326309204e-01 2.3481570184230804e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2458 2.0315469801425934e-01</internalNodes>
-          <leafValues>
-            2.1833679638803005e-03 -4.9344301223754883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2459 -5.6780078448355198e-03</internalNodes>
-          <leafValues>
-            1.9343170523643494e-01 -2.7786340564489365e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2460 5.9304530732333660e-03</internalNodes>
-          <leafValues>
-            -2.0089559257030487e-02 1.0909699648618698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2461 -2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            6.9419682025909424e-02 -8.3425432443618774e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2462 -6.2176208011806011e-03</internalNodes>
-          <leafValues>
-            7.8689947724342346e-02 -1.3951480388641357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2463 5.5320560932159424e-03</internalNodes>
-          <leafValues>
-            -6.6315047442913055e-02 7.9847618937492371e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2464 -3.6959160119295120e-02</internalNodes>
-          <leafValues>
-            -2.9380309581756592e-01 1.5764990821480751e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2465 1.6365250572562218e-02</internalNodes>
-          <leafValues>
-            -3.2235268503427505e-02 1.4612549543380737e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2466 -7.8597873449325562e-02</internalNodes>
-          <leafValues>
-            -1.9322140514850616e-01 9.7729396075010300e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2467 -3.7147980183362961e-02</internalNodes>
-          <leafValues>
-            -8.0554589629173279e-02 6.5781079232692719e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2468 1.1728459969162941e-02</internalNodes>
-          <leafValues>
-            2.7243109419941902e-02 -1.4649729430675507e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2469 -1.0335040278732777e-02</internalNodes>
-          <leafValues>
-            6.2767356634140015e-02 -8.1577852368354797e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2470 -2.2553969174623489e-02</internalNodes>
-          <leafValues>
-            -5.3455010056495667e-02 2.6032449677586555e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2471 -2.0984159782528877e-02</internalNodes>
-          <leafValues>
-            -7.0430137217044830e-02 7.9067058861255646e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2472 -7.0778899826109409e-03</internalNodes>
-          <leafValues>
-            6.8095311522483826e-02 -2.1682029590010643e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2473 -1.9395829876884818e-03</internalNodes>
-          <leafValues>
-            6.1789739876985550e-02 -1.0044089704751968e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2474 1.5511269448325038e-03</internalNodes>
-          <leafValues>
-            -2.3770300671458244e-02 1.0483939945697784e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2475 -8.7477812485303730e-05</internalNodes>
-          <leafValues>
-            7.3554880917072296e-02 -6.8933039903640747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2476 -4.8028680612333119e-04</internalNodes>
-          <leafValues>
-            4.4728521257638931e-02 -4.3513979762792587e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2477 -1.7207010090351105e-01</internalNodes>
-          <leafValues>
-            -5.9279191493988037e-01 8.8808601722121239e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2478 1.5847340226173401e-01</internalNodes>
-          <leafValues>
-            3.0388650484383106e-03 -2.7436259388923645e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2479 -1.4971689879894257e-01</internalNodes>
-          <leafValues>
-            -7.6002198457717896e-01 6.4801289699971676e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2480 -2.0640289876610041e-03</internalNodes>
-          <leafValues>
-            1.5531200170516968e-01 -3.0484480783343315e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2481 -7.7108487486839294e-02</internalNodes>
-          <leafValues>
-            4.3029859662055969e-01 -1.1647719889879227e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2482 -3.4328561276197433e-02</internalNodes>
-          <leafValues>
-            -2.3154769837856293e-01 1.6160769388079643e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2483 4.3574009090662003e-02</internalNodes>
-          <leafValues>
-            -2.8146019205451012e-02 1.6973729431629181e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2484 7.4282230343669653e-05</internalNodes>
-          <leafValues>
-            -6.5261639654636383e-02 3.5262048244476318e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2485 2.1579340100288391e-03</internalNodes>
-          <leafValues>
-            4.3165851384401321e-02 -1.1010999977588654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2486 2.0436691120266914e-03</internalNodes>
-          <leafValues>
-            2.9586719349026680e-02 -6.1997979879379272e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2487 1.8425910174846649e-01</internalNodes>
-          <leafValues>
-            5.3550167940557003e-03 -9.2895787954330444e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2488 1.9119750708341599e-02</internalNodes>
-          <leafValues>
-            5.3580361418426037e-03 -6.5347892045974731e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2489 6.4144372940063477e-02</internalNodes>
-          <leafValues>
-            -1.0330500081181526e-02 4.6719509363174438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2490 -4.3394681997597218e-03</internalNodes>
-          <leafValues>
-            -1.5378740429878235e-01 1.1142870411276817e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2491 -2.2321179509162903e-01</internalNodes>
-          <leafValues>
-            -9.4697248935699463e-01 4.8918798565864563e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2492 -5.6038159527815878e-05</internalNodes>
-          <leafValues>
-            7.0976890623569489e-02 -6.2353119254112244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2493 1.3452749699354172e-03</internalNodes>
-          <leafValues>
-            -2.8609760105609894e-02 1.5549249947071075e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2494 1.3946880353614688e-03</internalNodes>
-          <leafValues>
-            -4.0270540863275528e-02 5.8612279593944550e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2495 1.5620330348610878e-02</internalNodes>
-          <leafValues>
-            7.3195630684494972e-03 -6.3210958242416382e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2496 -5.5555468861712143e-05</internalNodes>
-          <leafValues>
-            4.5023500919342041e-02 -2.8714200481772423e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2497 1.1142860166728497e-02</internalNodes>
-          <leafValues>
-            1.5724860131740570e-02 -2.8536120057106018e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2498 1.3101319782435894e-02</internalNodes>
-          <leafValues>
-            -3.5583950579166412e-02 1.0512710362672806e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2499 8.7957009673118591e-03</internalNodes>
-          <leafValues>
-            2.4417439475655556e-02 -1.8935090303421021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2500 -4.9927979707717896e-02</internalNodes>
-          <leafValues>
-            7.8737221658229828e-02 -2.7785409241914749e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2501 3.9871338754892349e-02</internalNodes>
-          <leafValues>
-            -2.9802389442920685e-02 1.9444610178470612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2502 -1.5781600028276443e-02</internalNodes>
-          <leafValues>
-            -7.6653957366943359e-01 9.5044961199164391e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2503 -6.1174961738288403e-03</internalNodes>
-          <leafValues>
-            -2.6769641041755676e-01 1.7127420753240585e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2504 4.4994831085205078e-01</internalNodes>
-          <leafValues>
-            -1.9066739827394485e-02 2.3485369980335236e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2505 -4.3342880904674530e-02</internalNodes>
-          <leafValues>
-            -7.1883791685104370e-01 6.2806149944663048e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2506 -3.0128860846161842e-02</internalNodes>
-          <leafValues>
-            -6.5766400098800659e-01 4.9726511351764202e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2507 -2.2716969251632690e-02</internalNodes>
-          <leafValues>
-            -1.9271560013294220e-01 2.2421309724450111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2508 -1.0098509956151247e-03</internalNodes>
-          <leafValues>
-            7.8559018671512604e-02 -3.5671528428792953e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2509 -1.0692490031942725e-03</internalNodes>
-          <leafValues>
-            1.2817870080471039e-01 -5.1395080983638763e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2510 -5.7365992106497288e-03</internalNodes>
-          <leafValues>
-            -4.5711138844490051e-01 4.0395711548626423e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2511 -5.0038979679811746e-05</internalNodes>
-          <leafValues>
-            6.9684647023677826e-02 -7.4391268193721771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2512 3.3675018697977066e-02</internalNodes>
-          <leafValues>
-            3.2588799949735403e-03 -8.0500680208206177e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2513 1.5914790332317352e-02</internalNodes>
-          <leafValues>
-            1.0776109993457794e-02 -4.0246000885963440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2514 -4.2607940849848092e-04</internalNodes>
-          <leafValues>
-            -4.7198060899972916e-02 2.3349309340119362e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2515 2.2485710680484772e-01</internalNodes>
-          <leafValues>
-            -3.9887890219688416e-02 1.0685189813375473e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2516 -2.9953860212117434e-03</internalNodes>
-          <leafValues>
-            9.1609388589859009e-02 -7.4848413467407227e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2517 -4.1523170657455921e-03</internalNodes>
-          <leafValues>
-            1.1539760231971741e-01 -4.2511921375989914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2518 4.9836929887533188e-02</internalNodes>
-          <leafValues>
-            -3.9297798648476601e-03 5.1817202568054199e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2519 -2.0023329183459282e-02</internalNodes>
-          <leafValues>
-            1.9128979742527008e-01 -2.3151049390435219e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2520 -6.2091718427836895e-03</internalNodes>
-          <leafValues>
-            1.0139790177345276e-01 -3.2446511089801788e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2521 -5.2683670073747635e-03</internalNodes>
-          <leafValues>
-            -1.8189090490341187e-01 3.0742220580577850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2522 2.5454410351812840e-03</internalNodes>
-          <leafValues>
-            1.5531339682638645e-02 -7.6035097241401672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2523 -3.3172550611197948e-03</internalNodes>
-          <leafValues>
-            -1.3509359955787659e-01 3.5959109663963318e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2524 -2.6110820472240448e-02</internalNodes>
-          <leafValues>
-            8.7283633649349213e-02 -2.1770549938082695e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2525 2.4312630295753479e-01</internalNodes>
-          <leafValues>
-            3.6142878234386444e-02 -1.4625130593776703e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2526 1.9041310250759125e-01</internalNodes>
-          <leafValues>
-            7.3239780031144619e-03 -2.7729520201683044e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2527 1.6359759494662285e-02</internalNodes>
-          <leafValues>
-            -1.0685429722070694e-01 4.9114670604467392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2528 -6.8857766687870026e-02</internalNodes>
-          <leafValues>
-            -4.2388990521430969e-01 8.5399514064192772e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2529 2.0329190418124199e-02</internalNodes>
-          <leafValues>
-            -3.9603959769010544e-02 1.6347900032997131e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2530 1.2973019853234291e-02</internalNodes>
-          <leafValues>
-            -1.9561119377613068e-02 1.1104790121316910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2531 6.2990398146212101e-03</internalNodes>
-          <leafValues>
-            -3.8755550980567932e-02 1.6495589911937714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2532 4.6493619447574019e-04</internalNodes>
-          <leafValues>
-            -7.0398978888988495e-02 5.9166688472032547e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2533 -1.1437010020017624e-02</internalNodes>
-          <leafValues>
-            -2.5582531094551086e-01 2.2561600431799889e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2534 -6.0563441365957260e-02</internalNodes>
-          <leafValues>
-            -1.5025900304317474e-01 3.5881530493497849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2535 -5.7170469313859940e-02</internalNodes>
-          <leafValues>
-            -5.5165249109268188e-01 8.8588111102581024e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2536 -3.7495139986276627e-03</internalNodes>
-          <leafValues>
-            -1.0633470118045807e-01 1.6566360369324684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2537 3.6156480200588703e-03</internalNodes>
-          <leafValues>
-            -4.6951588243246078e-02 9.8432987928390503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2538 3.9375461637973785e-03</internalNodes>
-          <leafValues>
-            1.5857139602303505e-02 -1.2761549651622772e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2539 6.9156679091975093e-04</internalNodes>
-          <leafValues>
-            -9.6932567656040192e-02 4.6035420149564743e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2540 -1.7139660194516182e-02</internalNodes>
-          <leafValues>
-            1.8325529992580414e-01 -2.9744260013103485e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2541 -2.1130971144884825e-03</internalNodes>
-          <leafValues>
-            -1.4694969356060028e-01 3.7141200155019760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2542 -6.3239036535378546e-05</internalNodes>
-          <leafValues>
-            5.6094359606504440e-02 -4.5251309871673584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2543 5.2524639613693580e-05</internalNodes>
-          <leafValues>
-            -6.6079467535018921e-02 8.4846131503582001e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2544 2.2989229764789343e-03</internalNodes>
-          <leafValues>
-            -6.2885507941246033e-02 7.2458572685718536e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2545 8.5239242762327194e-03</internalNodes>
-          <leafValues>
-            2.4598589166998863e-02 -2.0404249429702759e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2546 1.5247499570250511e-02</internalNodes>
-          <leafValues>
-            -4.6305138617753983e-02 9.2680208384990692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2547 -4.1115559637546539e-02</internalNodes>
-          <leafValues>
-            -1.6479089856147766e-01 3.2052058726549149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2548 -5.7012498378753662e-02</internalNodes>
-          <leafValues>
-            1.7691320180892944e-01 -2.8910059481859207e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2549 -3.6141950637102127e-02</internalNodes>
-          <leafValues>
-            3.3573868870735168e-01 -1.4668149873614311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2550 -4.7342400997877121e-02</internalNodes>
-          <leafValues>
-            -3.6468461155891418e-01 9.7021097317337990e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2551 1.5224410162772983e-04</internalNodes>
-          <leafValues>
-            -8.5566259920597076e-02 5.6335821747779846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2552 -1.0744449682533741e-03</internalNodes>
-          <leafValues>
-            6.7602880299091339e-02 -4.4944599270820618e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2553 2.4688818957656622e-03</internalNodes>
-          <leafValues>
-            3.9391770958900452e-02 -1.1436650156974792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2554 -2.2395079955458641e-02</internalNodes>
-          <leafValues>
-            -4.1499689221382141e-01 3.3534979447722435e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2555 1.4145880006253719e-02</internalNodes>
-          <leafValues>
-            7.8060040250420570e-03 -5.6246250867843628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2556 -5.6172739277826622e-05</internalNodes>
-          <leafValues>
-            4.2239628732204437e-02 -3.9982240647077560e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2557 -4.6720141544938087e-03</internalNodes>
-          <leafValues>
-            -3.0066668987274170e-01 1.5984399244189262e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2558 5.9289661294315010e-05</internalNodes>
-          <leafValues>
-            -4.1034109890460968e-02 5.2692588418722153e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2559 -1.9730681087821722e-03</internalNodes>
-          <leafValues>
-            1.5118849277496338e-01 -3.2511081546545029e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2560 -2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            4.1403569281101227e-02 -4.2990118265151978e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2561 5.1802700909320265e-05</internalNodes>
-          <leafValues>
-            -5.8342479169368744e-02 9.3940071761608124e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2562 2.2840979509055614e-03</internalNodes>
-          <leafValues>
-            1.8507080152630806e-02 -4.5831311494112015e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2563 -1.3125069439411163e-01</internalNodes>
-          <leafValues>
-            -1.7687280476093292e-01 2.6014940813183784e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2564 -1.1948959436267614e-03</internalNodes>
-          <leafValues>
-            4.1936729103326797e-02 -5.5546648800373077e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2565 7.2234630584716797e-02</internalNodes>
-          <leafValues>
-            1.0688959620893002e-02 -4.0127620100975037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2566 -5.6396931409835815e-02</internalNodes>
-          <leafValues>
-            -8.8491988182067871e-01 3.6692508729174733e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2567 -5.4153650999069214e-02</internalNodes>
-          <leafValues>
-            -2.2496509552001953e-01 1.7923209816217422e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2568 -2.5167329236865044e-02</internalNodes>
-          <leafValues>
-            1.3002359867095947e-01 -3.6686159670352936e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2569 1.3710210099816322e-02</internalNodes>
-          <leafValues>
-            -4.0513981133699417e-02 1.1201860010623932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2570 -2.7890820056200027e-02</internalNodes>
-          <leafValues>
-            -7.3137658834457397e-01 3.7337029352784157e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2571 -7.5335809960961342e-03</internalNodes>
-          <leafValues>
-            -2.3119840025901794e-01 1.7614539712667465e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2572 3.2403611112385988e-03</internalNodes>
-          <leafValues>
-            -8.7237963452935219e-03 2.0382650196552277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2573 8.4408961236476898e-02</internalNodes>
-          <leafValues>
-            5.1954388618469238e-03 -8.2454532384872437e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2574 -8.2196877337992191e-04</internalNodes>
-          <leafValues>
-            -8.1715703010559082e-02 2.1830869838595390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2575 2.9956221114844084e-03</internalNodes>
-          <leafValues>
-            -2.8032269328832626e-02 1.5127840638160706e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2576 -7.0376463234424591e-02</internalNodes>
-          <leafValues>
-            -1.3520090281963348e-01 3.9681098423898220e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2577 3.2191380858421326e-02</internalNodes>
-          <leafValues>
-            1.3135899789631367e-02 -3.3470198512077332e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2578 5.4974909871816635e-03</internalNodes>
-          <leafValues>
-            -2.6549790054559708e-02 1.1709090322256088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2579 1.6429390758275986e-02</internalNodes>
-          <leafValues>
-            -5.3361341357231140e-02 8.2119062542915344e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2580 -7.4506900273263454e-03</internalNodes>
-          <leafValues>
-            8.0858200788497925e-02 -2.2392859682440758e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2581 4.9851150251924992e-03</internalNodes>
-          <leafValues>
-            -2.0572969689965248e-02 2.5987860560417175e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2582 2.9100670944899321e-03</internalNodes>
-          <leafValues>
-            -2.3105369880795479e-02 4.5229300856590271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2583 -1.3522300124168396e-01</internalNodes>
-          <leafValues>
-            1.1169719696044922e-01 -4.3613661080598831e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2584 -9.8680844530463219e-03</internalNodes>
-          <leafValues>
-            -1.8346819281578064e-01 3.8948319852352142e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2585 4.0301959961652756e-03</internalNodes>
-          <leafValues>
-            2.3375049233436584e-02 -2.0566239953041077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2586 3.9632450789213181e-02</internalNodes>
-          <leafValues>
-            7.7001759782433510e-03 -1.6639390587806702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2587 -1.2742499820888042e-02</internalNodes>
-          <leafValues>
-            1.4852410554885864e-01 -3.0606770887970924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2588 3.7017830181866884e-03</internalNodes>
-          <leafValues>
-            2.0922090858221054e-02 -1.1472299695014954e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2589 2.2704519797116518e-03</internalNodes>
-          <leafValues>
-            2.7025869116187096e-02 -1.6540579497814178e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2590 1.4953289926052094e-01</internalNodes>
-          <leafValues>
-            -2.0300289615988731e-03 5.9815090894699097e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2591 -5.1417769864201546e-03</internalNodes>
-          <leafValues>
-            3.8440889120101929e-01 -1.1284800246357918e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2592 -6.3616367988288403e-03</internalNodes>
-          <leafValues>
-            -3.1090161204338074e-01 1.4351840130984783e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2593 -5.9813860803842545e-02</internalNodes>
-          <leafValues>
-            -7.0378690958023071e-01 5.7968678884208202e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2594 3.5357210040092468e-01</internalNodes>
-          <leafValues>
-            1.1212659999728203e-02 -3.3229699730873108e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2595 6.8999081850051880e-01</internalNodes>
-          <leafValues>
-            -1.0586109943687916e-02 3.8376569747924805e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2596 4.8297038301825523e-03</internalNodes>
-          <leafValues>
-            2.1038129925727844e-02 -5.7353559881448746e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2597 1.7828490585088730e-02</internalNodes>
-          <leafValues>
-            -1.0605059564113617e-02 3.9563548564910889e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2598 6.4284101128578186e-02</internalNodes>
-          <leafValues>
-            -6.3842877745628357e-02 2.6795409619808197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2599 2.5491470098495483e-01</internalNodes>
-          <leafValues>
-            1.9327409565448761e-02 -2.4302749335765839e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2600 5.1334970630705357e-03</internalNodes>
-          <leafValues>
-            1.1508010327816010e-02 -2.3830899596214294e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2601 -3.9797872304916382e-03</internalNodes>
-          <leafValues>
-            -2.0426890254020691e-01 2.0390080288052559e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2602 2.7258729096502066e-03</internalNodes>
-          <leafValues>
-            -4.6508461236953735e-02 7.9410687088966370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2603 -1.4983859844505787e-02</internalNodes>
-          <leafValues>
-            3.9586919546127319e-01 -1.1343169957399368e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2604 2.9130540788173676e-03</internalNodes>
-          <leafValues>
-            3.6371629685163498e-02 -9.0614721179008484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2605 -9.0548500884324312e-04</internalNodes>
-          <leafValues>
-            6.2091920524835587e-02 -6.8425096571445465e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2606 -1.1654829978942871e-01</internalNodes>
-          <leafValues>
-            1.1569529771804810e-01 -1.3268720358610153e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2607 1.0781300254166126e-02</internalNodes>
-          <leafValues>
-            1.7420019954442978e-02 -2.8036078810691833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2608 -5.3447848558425903e-01</internalNodes>
-          <leafValues>
-            -4.7411590814590454e-01 8.6649907752871513e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2609 5.6615539506310597e-05</internalNodes>
-          <leafValues>
-            -5.8638270944356918e-02 7.5020261108875275e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2610 6.2536040786653757e-05</internalNodes>
-          <leafValues>
-            -4.9846608191728592e-02 5.9350069612264633e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2611 7.3054343461990356e-02</internalNodes>
-          <leafValues>
-            -1.4036689884960651e-02 3.5884460806846619e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2612 -1.6530159860849380e-02</internalNodes>
-          <leafValues>
-            -3.4632420539855957e-01 6.7927599884569645e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2613 -6.3628758653067052e-05</internalNodes>
-          <leafValues>
-            7.1638368070125580e-02 -5.9216059744358063e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2614 -1.9453760236501694e-02</internalNodes>
-          <leafValues>
-            -5.1694720983505249e-01 6.2814089469611645e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2615 2.1202109754085541e-01</internalNodes>
-          <leafValues>
-            7.6583931222558022e-03 -5.0985842943191528e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2616 1.9657649099826813e-02</internalNodes>
-          <leafValues>
-            -4.3143048882484436e-02 5.1890939474105835e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>371</maxWeakCount>
-      <stageThreshold>-1.1236120462417603e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 2617 8.6894199252128601e-02</internalNodes>
-          <leafValues>
-            -1.8969950079917908e-01 2.2035740315914154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2618 -9.6704717725515366e-03</internalNodes>
-          <leafValues>
-            1.1851350218057632e-01 -8.6339563131332397e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2619 -8.1467948853969574e-02</internalNodes>
-          <leafValues>
-            1.4990839362144470e-01 -1.2963719666004181e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2620 -1.7537999665364623e-03</internalNodes>
-          <leafValues>
-            1.7750880122184753e-01 -1.0693369805812836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2621 -7.4387797212693840e-05</internalNodes>
-          <leafValues>
-            9.6010386943817139e-02 -1.6225080192089081e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2622 8.0011058598756790e-03</internalNodes>
-          <leafValues>
-            -1.8540080636739731e-02 2.4660170078277588e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2623 1.7090819776058197e-02</internalNodes>
-          <leafValues>
-            3.2561480998992920e-02 -2.6181620359420776e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2624 9.9246148020029068e-03</internalNodes>
-          <leafValues>
-            -1.9358970224857330e-02 1.2542679905891418e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2625 1.2290390208363533e-02</internalNodes>
-          <leafValues>
-            3.4330211579799652e-02 -3.2864710688591003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2626 2.1256268955767155e-03</internalNodes>
-          <leafValues>
-            -7.1797981858253479e-02 6.9216072559356689e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2627 2.4960160255432129e-01</internalNodes>
-          <leafValues>
-            -1.1238349974155426e-01 1.4298430085182190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2628 -4.9557890743017197e-03</internalNodes>
-          <leafValues>
-            1.3797929883003235e-01 -5.8330990374088287e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2629 6.9741107523441315e-02</internalNodes>
-          <leafValues>
-            2.9714699834585190e-02 -3.4425801038742065e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2630 8.1527782604098320e-03</internalNodes>
-          <leafValues>
-            -4.6951010823249817e-02 7.8247062861919403e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2631 1.0349320247769356e-02</internalNodes>
-          <leafValues>
-            -6.9432802498340607e-02 1.5855890512466431e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2632 6.3299350440502167e-03</internalNodes>
-          <leafValues>
-            -3.9910208433866501e-02 1.5249839425086975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2633 3.0955720692873001e-02</internalNodes>
-          <leafValues>
-            4.1943959891796112e-02 -2.3227399587631226e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2634 1.2504469603300095e-02</internalNodes>
-          <leafValues>
-            -1.8312249332666397e-02 9.9652856588363647e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2635 7.4256081134080887e-03</internalNodes>
-          <leafValues>
-            -6.2183279544115067e-02 1.6638119518756866e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2636 2.0066989585757256e-02</internalNodes>
-          <leafValues>
-            2.2657990455627441e-02 -3.4708911180496216e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2637 -5.8288997411727905e-01</internalNodes>
-          <leafValues>
-            2.8628429770469666e-01 -2.9674390330910683e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2638 -1.4278849586844444e-02</internalNodes>
-          <leafValues>
-            1.7780199646949768e-01 -2.9107179492712021e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2639 5.9483898803591728e-03</internalNodes>
-          <leafValues>
-            -5.1461439579725266e-02 2.1336910128593445e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2640 -3.7677738815546036e-02</internalNodes>
-          <leafValues>
-            -3.6932611465454102e-01 5.7723309844732285e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2641 6.5808892250061035e-02</internalNodes>
-          <leafValues>
-            4.0651790797710419e-02 -2.1074700355529785e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2642 -2.3132109642028809e-01</internalNodes>
-          <leafValues>
-            4.1835370659828186e-01 -1.2195900082588196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2643 9.2640687944367528e-04</internalNodes>
-          <leafValues>
-            -1.4468879997730255e-01 5.8539729565382004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2644 1.0040670167654753e-03</internalNodes>
-          <leafValues>
-            -4.4056508690118790e-02 3.3918689936399460e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2645 -1.6178250312805176e-02</internalNodes>
-          <leafValues>
-            -2.5373190641403198e-01 2.8968360275030136e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2646 -6.0239218873903155e-04</internalNodes>
-          <leafValues>
-            4.1323728859424591e-02 -4.0084209293127060e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2647 -6.0449438169598579e-03</internalNodes>
-          <leafValues>
-            1.4372240006923676e-01 -4.7170829027891159e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2648 2.2208129521459341e-03</internalNodes>
-          <leafValues>
-            4.5135390013456345e-02 -1.6863340139389038e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2649 -2.5435380637645721e-02</internalNodes>
-          <leafValues>
-            2.7486249804496765e-01 -2.5021070614457130e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2650 -9.7569217905402184e-03</internalNodes>
-          <leafValues>
-            -3.5105359554290771e-01 6.7487931810319424e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2651 -5.8798119425773621e-03</internalNodes>
-          <leafValues>
-            -2.3652760684490204e-01 2.9202800244092941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2652 1.7566860187798738e-03</internalNodes>
-          <leafValues>
-            -9.9007412791252136e-02 5.2369870245456696e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2653 -7.4273318052291870e-02</internalNodes>
-          <leafValues>
-            -2.6232570409774780e-01 3.2476898282766342e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2654 3.1107749789953232e-02</internalNodes>
-          <leafValues>
-            -3.1739011406898499e-02 1.9744929671287537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2655 6.3703872263431549e-02</internalNodes>
-          <leafValues>
-            2.6871459558606148e-02 -2.7673950791358948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2656 -4.7539241611957550e-02</internalNodes>
-          <leafValues>
-            -4.0510261058807373e-01 1.2222040444612503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2657 -3.5632580984383821e-03</internalNodes>
-          <leafValues>
-            -1.9992919266223907e-01 3.3539909869432449e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2658 -2.6527589187026024e-02</internalNodes>
-          <leafValues>
-            -1.6290059685707092e-01 2.7833169326186180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2659 2.8048178553581238e-01</internalNodes>
-          <leafValues>
-            2.8810590505599976e-02 -2.2711829841136932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2660 4.5591941475868225e-01</internalNodes>
-          <leafValues>
-            -2.2757180035114288e-02 3.1029689311981201e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2661 8.6748532950878143e-02</internalNodes>
-          <leafValues>
-            7.2686396539211273e-02 -1.0276269912719727e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2662 1.6994470497593284e-03</internalNodes>
-          <leafValues>
-            -3.1809408217668533e-02 8.7146088480949402e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2663 -1.1253879638388753e-03</internalNodes>
-          <leafValues>
-            6.8066433072090149e-02 -1.2390069663524628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2664 5.0872150808572769e-02</internalNodes>
-          <leafValues>
-            -8.7517164647579193e-03 3.1184211373329163e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2665 1.9961729645729065e-01</internalNodes>
-          <leafValues>
-            -3.0910549685359001e-02 2.1652880311012268e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2666 -6.3838690519332886e-02</internalNodes>
-          <leafValues>
-            -6.0265827178955078e-01 1.3233360368758440e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2667 6.3007958233356476e-03</internalNodes>
-          <leafValues>
-            -5.2063349634408951e-02 1.2607939541339874e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2668 5.6697470135986805e-03</internalNodes>
-          <leafValues>
-            9.0780286118388176e-03 -1.9445329904556274e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2669 1.4293550048023462e-03</internalNodes>
-          <leafValues>
-            -8.5781432688236237e-02 7.1289457380771637e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2670 1.3812010176479816e-02</internalNodes>
-          <leafValues>
-            8.0618355423212051e-03 -3.8797891139984131e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2671 2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            -6.2491171061992645e-02 1.0920929908752441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2672 -3.9398381486535072e-03</internalNodes>
-          <leafValues>
-            5.0932329148054123e-02 -1.4980320632457733e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2673 -1.2358880043029785e-01</internalNodes>
-          <leafValues>
-            3.1476518511772156e-01 -2.5759879499673843e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2674 -1.0957430116832256e-02</internalNodes>
-          <leafValues>
-            -2.6074820756912231e-01 1.5849729999899864e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2675 -7.6301600784063339e-03</internalNodes>
-          <leafValues>
-            2.6100659370422363e-01 -2.4329889565706253e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2676 -6.7839071154594421e-02</internalNodes>
-          <leafValues>
-            1.9691309332847595e-01 -8.3496840670704842e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2677 1.8607309088110924e-02</internalNodes>
-          <leafValues>
-            2.5603959336876869e-02 -2.5413629412651062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2678 -5.8711939345812425e-05</internalNodes>
-          <leafValues>
-            3.5625811666250229e-02 -4.1084211319684982e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2679 8.3914608694612980e-05</internalNodes>
-          <leafValues>
-            -1.3061410188674927e-01 4.9393389374017715e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2680 1.7734190449118614e-02</internalNodes>
-          <leafValues>
-            -3.4273520112037659e-02 1.2126860022544861e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2681 6.8113701418042183e-03</internalNodes>
-          <leafValues>
-            2.2671220824122429e-02 -2.6590269804000854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2682 4.5482560992240906e-02</internalNodes>
-          <leafValues>
-            -6.1395200900733471e-03 4.7231659293174744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2683 -7.0767141878604889e-03</internalNodes>
-          <leafValues>
-            -3.1650930643081665e-01 2.0036390051245689e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2684 7.3222210630774498e-04</internalNodes>
-          <leafValues>
-            -2.2880610078573227e-02 6.4724266529083252e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2685 -3.2817400060594082e-03</internalNodes>
-          <leafValues>
-            2.5166231393814087e-01 -2.3168640211224556e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2686 -4.6115890145301819e-02</internalNodes>
-          <leafValues>
-            -3.5920459032058716e-01 1.5987880527973175e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2687 1.0526889935135841e-02</internalNodes>
-          <leafValues>
-            9.6597811207175255e-03 -5.8308398723602295e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2688 2.1888600662350655e-02</internalNodes>
-          <leafValues>
-            2.8070888947695494e-03 -2.9022130370140076e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2689 -3.7969578988850117e-03</internalNodes>
-          <leafValues>
-            2.6823088526725769e-01 -2.2035770118236542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2690 2.9150590300559998e-02</internalNodes>
-          <leafValues>
-            3.7061858922243118e-02 -9.7243040800094604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2691 7.9669371247291565e-02</internalNodes>
-          <leafValues>
-            -6.1300739645957947e-02 1.0794749855995178e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2692 -2.7629170566797256e-02</internalNodes>
-          <leafValues>
-            2.2528949379920959e-01 -3.2572429627180099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2693 -1.2017980217933655e-02</internalNodes>
-          <leafValues>
-            1.0100489854812622e-01 -6.6461361944675446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2694 -1.1925140395760536e-02</internalNodes>
-          <leafValues>
-            -1.8590609729290009e-01 3.2485559582710266e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2695 2.5123509764671326e-01</internalNodes>
-          <leafValues>
-            -2.4892140179872513e-02 2.8030058741569519e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2696 6.9036600179970264e-03</internalNodes>
-          <leafValues>
-            -6.2898851931095123e-02 3.1777821481227875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2697 5.3575318306684494e-02</internalNodes>
-          <leafValues>
-            -1.2439640238881111e-02 4.6091410517692566e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2698 -9.4652660191059113e-03</internalNodes>
-          <leafValues>
-            8.4103047847747803e-02 -1.1300220340490341e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2699 1.8469220399856567e-01</internalNodes>
-          <leafValues>
-            2.1576140075922012e-02 -2.6910570263862610e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2700 -1.1816070228815079e-01</internalNodes>
-          <leafValues>
-            -4.7206339240074158e-01 9.0096276253461838e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2701 3.6900841223541647e-05</internalNodes>
-          <leafValues>
-            -5.8833159506320953e-02 9.9453382194042206e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2702 -1.6330610215663910e-01</internalNodes>
-          <leafValues>
-            -6.0990130901336670e-01 1.3118899660184979e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2703 -9.6555590629577637e-02</internalNodes>
-          <leafValues>
-            -5.2723962068557739e-01 1.1668589897453785e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2704 4.0162451565265656e-02</internalNodes>
-          <leafValues>
-            -3.2783899456262589e-02 1.8107770383358002e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2705 -2.9686940833926201e-02</internalNodes>
-          <leafValues>
-            1.0548429936170578e-01 -6.1513308435678482e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2706 7.5436946644913405e-05</internalNodes>
-          <leafValues>
-            -3.5980768501758575e-02 4.9934450536966324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2707 2.0552529022097588e-03</internalNodes>
-          <leafValues>
-            2.7518209069967270e-02 -2.4573980271816254e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2708 2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            -2.5809049606323242e-02 2.9950719326734543e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2709 -5.0713717937469482e-03</internalNodes>
-          <leafValues>
-            -2.0639109611511230e-01 3.2002601772546768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2710 -4.8216218128800392e-03</internalNodes>
-          <leafValues>
-            -9.7566813230514526e-02 5.5109240114688873e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2711 6.5210692584514618e-02</internalNodes>
-          <leafValues>
-            6.3420450314879417e-03 -7.8828340768814087e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2712 1.5821969136595726e-02</internalNodes>
-          <leafValues>
-            -2.1475680172443390e-02 1.2227129936218262e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2713 -3.0075939372181892e-02</internalNodes>
-          <leafValues>
-            3.7011429667472839e-01 -1.5476689673960209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2714 -5.5496598361060023e-04</internalNodes>
-          <leafValues>
-            4.1431929916143417e-02 -1.2144719809293747e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2715 -2.4754840880632401e-02</internalNodes>
-          <leafValues>
-            -3.5262298583984375e-01 1.5344849787652493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2716 -8.7477359920740128e-03</internalNodes>
-          <leafValues>
-            1.9155359268188477e-01 -2.2537950426340103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2717 -3.5500800004228950e-04</internalNodes>
-          <leafValues>
-            -8.4604002535343170e-02 6.5341651439666748e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2718 -5.7884451001882553e-02</internalNodes>
-          <leafValues>
-            2.5973668694496155e-01 -2.1083710715174675e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2719 3.7522350903600454e-03</internalNodes>
-          <leafValues>
-            3.1614970415830612e-02 -1.8795000016689301e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2720 2.0266280625946820e-04</internalNodes>
-          <leafValues>
-            -4.8824269324541092e-02 4.7762241214513779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2721 -1.7959989607334137e-02</internalNodes>
-          <leafValues>
-            -1.8358300626277924e-01 2.7057379484176636e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2722 -5.1200438290834427e-02</internalNodes>
-          <leafValues>
-            2.7234628796577454e-01 -1.9954629242420197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2723 -7.3698651976883411e-03</internalNodes>
-          <leafValues>
-            -1.2299379706382751e-01 4.5279439538717270e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2724 -8.1579107791185379e-04</internalNodes>
-          <leafValues>
-            4.6081308275461197e-02 -2.1206410601735115e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2725 7.7019751188345253e-05</internalNodes>
-          <leafValues>
-            -1.1223869770765305e-01 4.6719830483198166e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2726 3.3753409981727600e-02</internalNodes>
-          <leafValues>
-            -2.9694780707359314e-02 3.0958639457821846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2727 2.8879839926958084e-02</internalNodes>
-          <leafValues>
-            -4.7609180212020874e-02 1.6370640695095062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2728 -1.3803930580615997e-01</internalNodes>
-          <leafValues>
-            -7.4509102106094360e-01 2.3958049714565277e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2729 9.0306542813777924e-02</internalNodes>
-          <leafValues>
-            2.8410099446773529e-02 -2.0606000721454620e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2730 1.3130649924278259e-01</internalNodes>
-          <leafValues>
-            5.8837989345192909e-03 -2.5894629955291748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2731 1.3623699545860291e-01</internalNodes>
-          <leafValues>
-            1.8490679562091827e-02 -2.9096630215644836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2732 1.1483960552141070e-03</internalNodes>
-          <leafValues>
-            -2.5334190577268600e-02 8.1962920725345612e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2733 7.0390116889029741e-05</internalNodes>
-          <leafValues>
-            -6.5080173313617706e-02 8.2337766885757446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2734 -5.8111059479415417e-03</internalNodes>
-          <leafValues>
-            -2.0126000046730042e-01 1.4183170162141323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2735 -1.2150090187788010e-02</internalNodes>
-          <leafValues>
-            2.1021689474582672e-01 -2.9711810871958733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2736 4.3220389634370804e-03</internalNodes>
-          <leafValues>
-            2.2152660414576530e-02 -1.9705900549888611e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2737 4.6673179604113102e-03</internalNodes>
-          <leafValues>
-            2.2342119365930557e-02 -2.6342189311981201e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2738 -1.3583960244432092e-03</internalNodes>
-          <leafValues>
-            7.3765449225902557e-02 -1.7833979800343513e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2739 -5.0764158368110657e-03</internalNodes>
-          <leafValues>
-            -1.7490370571613312e-01 2.9997769743204117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2740 1.9497750326991081e-03</internalNodes>
-          <leafValues>
-            -2.7114750817418098e-02 1.6166089475154877e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2741 -2.5937429163604975e-03</internalNodes>
-          <leafValues>
-            1.8078009784221649e-01 -2.7191480621695518e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2742 -2.1715890616178513e-02</internalNodes>
-          <leafValues>
-            9.6041858196258545e-02 -5.2243158221244812e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2743 -2.5649809686001390e-05</internalNodes>
-          <leafValues>
-            8.3050042390823364e-02 -6.1770558357238770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2744 9.8641996737569571e-04</internalNodes>
-          <leafValues>
-            -2.4684209376573563e-02 9.7191460430622101e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2745 2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            -6.9555416703224182e-02 7.7152892947196960e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2746 -1.0910170152783394e-02</internalNodes>
-          <leafValues>
-            -2.5444790720939636e-01 1.6135040670633316e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2747 5.6066219258354977e-05</internalNodes>
-          <leafValues>
-            -7.6400838792324066e-02 7.0996761322021484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2748 2.7718160301446915e-02</internalNodes>
-          <leafValues>
-            7.7127898111939430e-03 -3.0201679468154907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2749 4.3827071785926819e-03</internalNodes>
-          <leafValues>
-            -3.4336760640144348e-02 1.3955120742321014e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2750 -3.7561710923910141e-02</internalNodes>
-          <leafValues>
-            -4.5689418911933899e-01 1.1854999698698521e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2751 1.3753259554505348e-02</internalNodes>
-          <leafValues>
-            -8.3447448909282684e-02 5.9472300112247467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2752 -2.7579799294471741e-02</internalNodes>
-          <leafValues>
-            2.1291820704936981e-01 -2.3054409772157669e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2753 -4.0822759270668030e-02</internalNodes>
-          <leafValues>
-            -5.0263231992721558e-01 1.0639879852533340e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2754 1.4743439853191376e-01</internalNodes>
-          <leafValues>
-            7.7440468594431877e-03 -1.8454490602016449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2755 -1.9371560215950012e-01</internalNodes>
-          <leafValues>
-            4.6490699052810669e-01 -1.4074579812586308e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2756 -4.1467480361461639e-02</internalNodes>
-          <leafValues>
-            -1.3331499695777893e-01 3.1722411513328552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2757 2.1617549937218428e-03</internalNodes>
-          <leafValues>
-            3.4888401627540588e-02 -1.1983960121870041e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2758 -2.8305849991738796e-03</internalNodes>
-          <leafValues>
-            -2.1483750641345978e-01 2.5539120659232140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2759 -1.0838639922440052e-02</internalNodes>
-          <leafValues>
-            3.3803048729896545e-01 -1.3591179624199867e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2760 2.1821239497512579e-03</internalNodes>
-          <leafValues>
-            -3.1135229393839836e-02 8.3679892122745514e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2761 6.8489680415950716e-05</internalNodes>
-          <leafValues>
-            -1.5453560650348663e-01 3.3053979277610779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2762 5.2545121870934963e-03</internalNodes>
-          <leafValues>
-            -2.9414970427751541e-02 1.6506220400333405e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2763 7.5199748389422894e-03</internalNodes>
-          <leafValues>
-            2.3363400250673294e-02 -2.1771569550037384e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2764 -4.5123990625143051e-02</internalNodes>
-          <leafValues>
-            -3.2536029815673828e-01 1.3281660154461861e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2765 -2.0451450254768133e-03</internalNodes>
-          <leafValues>
-            9.5804646611213684e-02 -5.0993110984563828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2766 2.9070109594613314e-03</internalNodes>
-          <leafValues>
-            -2.7690220624208450e-02 1.9595550000667572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2767 -2.5558389723300934e-02</internalNodes>
-          <leafValues>
-            -2.7625438570976257e-01 2.1147929131984711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2768 2.6447090785950422e-03</internalNodes>
-          <leafValues>
-            -3.2627500593662262e-02 4.1240271180868149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2769 2.8334530725260265e-05</internalNodes>
-          <leafValues>
-            -8.4877587854862213e-02 5.5865898728370667e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2770 6.6109612816944718e-04</internalNodes>
-          <leafValues>
-            -3.2827850431203842e-02 7.4010983109474182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2771 2.0918789505958557e-01</internalNodes>
-          <leafValues>
-            1.0018980130553246e-02 -4.7411561012268066e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2772 -6.0340400523273274e-05</internalNodes>
-          <leafValues>
-            4.8323448747396469e-02 -3.2779499888420105e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2773 6.6149746999144554e-05</internalNodes>
-          <leafValues>
-            -7.4969246983528137e-02 6.1952129006385803e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2774 -5.1479000831022859e-04</internalNodes>
-          <leafValues>
-            -9.4924032688140869e-02 3.5300780087709427e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2775 7.3261340148746967e-03</internalNodes>
-          <leafValues>
-            3.8502220064401627e-02 -1.4840659499168396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2776 2.4439459666609764e-02</internalNodes>
-          <leafValues>
-            -1.3411019928753376e-02 1.8843680620193481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2777 4.1021420620381832e-03</internalNodes>
-          <leafValues>
-            -4.9980189651250839e-02 1.0747750103473663e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2778 -2.2003119811415672e-03</internalNodes>
-          <leafValues>
-            1.5202569961547852e-01 -1.0413169860839844e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2779 -6.3748419051989913e-05</internalNodes>
-          <leafValues>
-            8.3184726536273956e-02 -7.3027476668357849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2780 1.6917420551180840e-02</internalNodes>
-          <leafValues>
-            2.2687980905175209e-02 -1.7060829699039459e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2781 2.3382799699902534e-03</internalNodes>
-          <leafValues>
-            -5.9908460825681686e-02 8.6580373346805573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2782 3.5319819580763578e-03</internalNodes>
-          <leafValues>
-            3.3012930303812027e-02 -1.5926639735698700e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2783 8.2293795421719551e-03</internalNodes>
-          <leafValues>
-            -7.6026521623134613e-02 7.5319997966289520e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2784 -4.1300300508737564e-02</internalNodes>
-          <leafValues>
-            -6.1095607280731201e-01 2.1895230747759342e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2785 -4.3179420754313469e-03</internalNodes>
-          <leafValues>
-            1.4404989778995514e-01 -3.8870800286531448e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2786 4.7153229388641194e-05</internalNodes>
-          <leafValues>
-            -4.9817599356174469e-02 4.8768520355224609e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2787 7.9003963037393987e-05</internalNodes>
-          <leafValues>
-            -6.8322107195854187e-02 6.8077176809310913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2788 -6.0340400523273274e-05</internalNodes>
-          <leafValues>
-            5.1328659057617188e-02 -3.5550858825445175e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2789 -5.1807070121867582e-05</internalNodes>
-          <leafValues>
-            8.4212273359298706e-02 -5.4924808442592621e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2790 4.7213859856128693e-02</internalNodes>
-          <leafValues>
-            2.3352450225502253e-03 -3.4417921304702759e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2791 -4.0626591071486473e-03</internalNodes>
-          <leafValues>
-            -1.8419119715690613e-01 2.5720769539475441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2792 -2.2785339504480362e-02</internalNodes>
-          <leafValues>
-            -1.3962119817733765e-01 1.2151359580457211e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2793 -7.5854226946830750e-02</internalNodes>
-          <leafValues>
-            1.1256880313158035e-01 -3.9203669875860214e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2794 7.5154039077460766e-03</internalNodes>
-          <leafValues>
-            -1.9784659147262573e-02 5.8735560625791550e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2795 3.1700478866696358e-03</internalNodes>
-          <leafValues>
-            -5.4245430976152420e-02 9.0264856815338135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2796 3.2852489966899157e-03</internalNodes>
-          <leafValues>
-            -5.4539371281862259e-02 9.0909533202648163e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2797 -9.3818716704845428e-02</internalNodes>
-          <leafValues>
-            -4.8168069124221802e-01 9.7587006166577339e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2798 -6.3132712966762483e-05</internalNodes>
-          <leafValues>
-            4.1089840233325958e-02 -3.6543939262628555e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2799 -1.9857510924339294e-02</internalNodes>
-          <leafValues>
-            -1.1721470206975937e-01 4.0564559400081635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2800 6.7911748774349689e-03</internalNodes>
-          <leafValues>
-            6.4080609008669853e-03 -3.2277610898017883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2801 -8.9469276368618011e-02</internalNodes>
-          <leafValues>
-            -3.5741510987281799e-01 1.2498370371758938e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2802 7.4639841914176941e-03</internalNodes>
-          <leafValues>
-            -1.9977200776338577e-02 1.8343879282474518e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2803 3.5889059305191040e-01</internalNodes>
-          <leafValues>
-            1.1032329872250557e-02 -5.5673301219940186e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2804 -2.8839880600571632e-02</internalNodes>
-          <leafValues>
-            1.9993069767951965e-01 -8.9885722845792770e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2805 1.3966220431029797e-03</internalNodes>
-          <leafValues>
-            -4.3905839323997498e-02 1.1055959761142731e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2806 -8.6227077990770340e-03</internalNodes>
-          <leafValues>
-            -4.3030598759651184e-01 4.9329511821269989e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2807 8.1372596323490143e-03</internalNodes>
-          <leafValues>
-            6.1173681169748306e-03 -7.0870321989059448e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2808 -5.2080889872740954e-05</internalNodes>
-          <leafValues>
-            5.4686058312654495e-02 -4.8987131565809250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2809 -6.2907347455620766e-05</internalNodes>
-          <leafValues>
-            7.7754616737365723e-02 -5.9795960783958435e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2810 -2.2601069882512093e-02</internalNodes>
-          <leafValues>
-            -1.1791110038757324e-01 7.3637152090668678e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2811 -4.6634320169687271e-03</internalNodes>
-          <leafValues>
-            7.5231060385704041e-02 -5.7572990655899048e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2812 -4.7270618379116058e-03</internalNodes>
-          <leafValues>
-            7.1065858006477356e-02 -8.5967883467674255e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2813 7.2711610794067383e-01</internalNodes>
-          <leafValues>
-            1.0272890329360962e-02 -4.6845859289169312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2814 -3.0634279828518629e-03</internalNodes>
-          <leafValues>
-            1.0827480256557465e-01 -2.3178070783615112e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2815 5.1220320165157318e-02</internalNodes>
-          <leafValues>
-            1.0082930326461792e-02 -4.6223670244216919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2816 -2.3362249135971069e-02</internalNodes>
-          <leafValues>
-            2.2211229801177979e-01 -2.0499259233474731e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2817 2.2698229178786278e-02</internalNodes>
-          <leafValues>
-            -1.1409649997949600e-01 4.1347719728946686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2818 3.2806419767439365e-03</internalNodes>
-          <leafValues>
-            -2.2716879844665527e-02 1.0286050289869308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2819 3.5968020092695951e-03</internalNodes>
-          <leafValues>
-            2.1161420270800591e-02 -2.0680260658264160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2820 -1.2049609795212746e-02</internalNodes>
-          <leafValues>
-            -2.6006719470024109e-01 2.0481001120060682e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2821 -2.6617539115250111e-03</internalNodes>
-          <leafValues>
-            1.5578770637512207e-01 -3.2414011657238007e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2822 -1.4739999547600746e-02</internalNodes>
-          <leafValues>
-            -1.6306230425834656e-01 7.1668480522930622e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2823 -7.0214703679084778e-02</internalNodes>
-          <leafValues>
-            3.6760380864143372e-01 -1.2261849828064442e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2824 -1.1493829637765884e-01</internalNodes>
-          <leafValues>
-            -4.1006609797477722e-01 1.1137899942696095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2825 -1.6535300761461258e-02</internalNodes>
-          <leafValues>
-            -4.9331170320510864e-01 8.9259371161460876e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2826 -6.8457737565040588e-02</internalNodes>
-          <leafValues>
-            -6.2944388389587402e-01 1.3810090022161603e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2827 1.7950909677892923e-03</internalNodes>
-          <leafValues>
-            4.3995179235935211e-02 -9.8123088479042053e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2828 9.2409765347838402e-03</internalNodes>
-          <leafValues>
-            -3.1927980482578278e-02 7.8624442219734192e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2829 1.5084880404174328e-02</internalNodes>
-          <leafValues>
-            -6.5231107175350189e-02 8.3552867174148560e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2830 -1.4755530282855034e-02</internalNodes>
-          <leafValues>
-            5.9695459902286530e-02 -2.4628980085253716e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2831 1.3870550319552422e-02</internalNodes>
-          <leafValues>
-            6.8354210816323757e-03 -6.6978019475936890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2832 8.4027196862734854e-05</internalNodes>
-          <leafValues>
-            -3.8849148899316788e-02 5.0546988844871521e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2833 -2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            7.7616319060325623e-02 -5.7069089263677597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2834 -3.7118638865649700e-03</internalNodes>
-          <leafValues>
-            5.7683859020471573e-02 -3.6430291831493378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2835 2.9378160834312439e-02</internalNodes>
-          <leafValues>
-            1.1657239869236946e-02 -3.7504649162292480e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2836 7.5752860307693481e-01</internalNodes>
-          <leafValues>
-            -1.2491280212998390e-02 3.0145660042762756e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2837 2.8497090563178062e-02</internalNodes>
-          <leafValues>
-            -7.3959968984127045e-02 6.2593862414360046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2838 3.0728369951248169e-02</internalNodes>
-          <leafValues>
-            8.5481833666563034e-03 -2.5127428770065308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2839 3.3614620566368103e-02</internalNodes>
-          <leafValues>
-            -1.1441719718277454e-02 4.9361410737037659e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2840 -2.2651510313153267e-02</internalNodes>
-          <leafValues>
-            2.0686359703540802e-01 -9.4910562038421631e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2841 -5.5092899856390432e-05</internalNodes>
-          <leafValues>
-            6.4360730350017548e-02 -7.2689138352870941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2842 -6.5959710627794266e-03</internalNodes>
-          <leafValues>
-            -1.7541189491748810e-01 1.6160210594534874e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2843 -6.0941398260183632e-05</internalNodes>
-          <leafValues>
-            7.5048670172691345e-02 -5.2823100239038467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2844 2.5904899302986450e-05</internalNodes>
-          <leafValues>
-            -4.9739658832550049e-02 5.8573901653289795e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2845 5.0394570280332118e-05</internalNodes>
-          <leafValues>
-            -6.1880309134721756e-02 6.6674813628196716e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2846 1.2553679756820202e-02</internalNodes>
-          <leafValues>
-            2.4910740554332733e-02 -1.2772439420223236e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2847 5.8084350079298019e-02</internalNodes>
-          <leafValues>
-            -1.7822250723838806e-02 2.2898909449577332e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2848 8.0750687047839165e-03</internalNodes>
-          <leafValues>
-            -2.2753600031137466e-02 1.4363150298595428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2849 1.2163340114057064e-02</internalNodes>
-          <leafValues>
-            2.6754619553685188e-02 -1.8255999684333801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2850 -1.5941649908199906e-03</internalNodes>
-          <leafValues>
-            9.9438779056072235e-02 -2.3783439770340919e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2851 -1.2085849791765213e-01</internalNodes>
-          <leafValues>
-            -5.9585529565811157e-01 6.8441159091889858e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2852 8.7481532245874405e-03</internalNodes>
-          <leafValues>
-            -2.2079860791563988e-02 2.6656690239906311e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2853 1.6135359182953835e-02</internalNodes>
-          <leafValues>
-            6.7850813269615173e-02 -7.7386163175106049e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2854 2.2907149791717529e-01</internalNodes>
-          <leafValues>
-            -3.5378839820623398e-02 4.8707369714975357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2855 5.0671470165252686e-01</internalNodes>
-          <leafValues>
-            5.8341762050986290e-03 -6.6830587387084961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2856 -3.5818759351968765e-02</internalNodes>
-          <leafValues>
-            -2.6823309063911438e-01 1.7747150268405676e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2857 -2.6501350104808807e-02</internalNodes>
-          <leafValues>
-            -3.0137398838996887e-01 1.3973710127174854e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2858 2.4797840043902397e-02</internalNodes>
-          <leafValues>
-            2.4552580434828997e-03 -5.9522122144699097e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2859 1.6543349483981729e-03</internalNodes>
-          <leafValues>
-            -2.5125969201326370e-02 1.9396910071372986e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2860 7.0274528115987778e-03</internalNodes>
-          <leafValues>
-            2.0404130220413208e-02 -5.3175788372755051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2861 7.4207589030265808e-02</internalNodes>
-          <leafValues>
-            1.2462070211768150e-02 -3.3352059125900269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2862 -2.3010969161987305e-03</internalNodes>
-          <leafValues>
-            -1.4958749711513519e-01 2.0109549164772034e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2863 1.3790120137855411e-03</internalNodes>
-          <leafValues>
-            3.3377520740032196e-02 -1.2395989894866943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2864 8.2677090167999268e-01</internalNodes>
-          <leafValues>
-            4.6560140326619148e-03 -7.6405769586563110e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2865 2.9461461305618286e-01</internalNodes>
-          <leafValues>
-            -1.5230939723551273e-02 3.1044191122055054e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2866 7.4683561921119690e-02</internalNodes>
-          <leafValues>
-            8.8676074519753456e-03 -5.2286827564239502e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2867 8.8000342249870300e-02</internalNodes>
-          <leafValues>
-            -1.1935940012335777e-02 4.0419429540634155e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2868 5.3336159326136112e-03</internalNodes>
-          <leafValues>
-            1.3640279881656170e-02 -2.4479709565639496e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2869 -5.4324131458997726e-02</internalNodes>
-          <leafValues>
-            -3.3548229932785034e-01 1.1758499778807163e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2870 3.2561250030994415e-02</internalNodes>
-          <leafValues>
-            1.3724969467148185e-03 -3.3259418606758118e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2871 4.8455069772899151e-03</internalNodes>
-          <leafValues>
-            -3.6367859691381454e-02 1.3941270112991333e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2872 -9.4578228890895844e-03</internalNodes>
-          <leafValues>
-            -1.5179359912872314e-01 7.1280989795923233e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2873 6.5718130208551884e-03</internalNodes>
-          <leafValues>
-            1.6051219776272774e-02 -2.5226241350173950e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2874 2.3467710241675377e-02</internalNodes>
-          <leafValues>
-            6.1246878467500210e-03 -2.3419499397277832e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2875 1.7358670011162758e-03</internalNodes>
-          <leafValues>
-            -3.9614859968423843e-02 1.2166520208120346e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2876 8.0753577640280128e-04</internalNodes>
-          <leafValues>
-            -2.6527570560574532e-02 3.9102729409933090e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2877 -5.5824369192123413e-03</internalNodes>
-          <leafValues>
-            -1.0073930025100708e-01 3.7261690944433212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2878 -2.6079979725182056e-03</internalNodes>
-          <leafValues>
-            7.4016816914081573e-02 -1.0955180041491985e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2879 6.9571033236570656e-05</internalNodes>
-          <leafValues>
-            -8.5262916982173920e-02 6.4489983022212982e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2880 8.1941768527030945e-02</internalNodes>
-          <leafValues>
-            2.0980359986424446e-03 -6.1844950914382935e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2881 1.9427090883255005e-02</internalNodes>
-          <leafValues>
-            -2.2283710539340973e-02 1.9918359816074371e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2882 -1.5077610313892365e-01</internalNodes>
-          <leafValues>
-            -6.4394700527191162e-01 7.0817708037793636e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2883 -1.5093310503289104e-03</internalNodes>
-          <leafValues>
-            -1.0650269687175751e-01 3.7576910108327866e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2884 3.6287561058998108e-02</internalNodes>
-          <leafValues>
-            6.2272557988762856e-04 -1.0000269412994385e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2885 -1.7432459862902761e-03</internalNodes>
-          <leafValues>
-            8.2987606525421143e-02 -5.1900088787078857e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2886 -6.1345883295871317e-05</internalNodes>
-          <leafValues>
-            4.1130200028419495e-02 -3.9763219654560089e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2887 2.6694999178289436e-05</internalNodes>
-          <leafValues>
-            -5.7489451020956039e-02 7.6786473393440247e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2888 2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            -3.3249299973249435e-02 6.0841768980026245e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2889 -2.1666070446372032e-02</internalNodes>
-          <leafValues>
-            -4.2399600148200989e-01 9.5887510105967522e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2890 6.5124082565307617e-01</internalNodes>
-          <leafValues>
-            -1.3923630118370056e-02 2.0358699560165405e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2891 -8.1125432625412941e-03</internalNodes>
-          <leafValues>
-            4.7284670174121857e-02 -8.7794028222560883e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2892 8.7661407887935638e-03</internalNodes>
-          <leafValues>
-            3.6122149322181940e-04 -4.6132668852806091e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2893 5.6974760809680447e-05</internalNodes>
-          <leafValues>
-            -5.4080601781606674e-02 8.7679319083690643e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2894 8.2681202911771834e-05</internalNodes>
-          <leafValues>
-            -3.6107949912548065e-02 4.0353108197450638e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2895 3.6902779247611761e-03</internalNodes>
-          <leafValues>
-            3.2845668494701385e-02 -1.7654460668563843e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2896 -2.4884620215743780e-03</internalNodes>
-          <leafValues>
-            -1.1169090121984482e-01 3.8092769682407379e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2897 6.1029191128909588e-03</internalNodes>
-          <leafValues>
-            -2.1872300654649734e-02 2.1474809944629669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2898 8.4216389805078506e-03</internalNodes>
-          <leafValues>
-            2.5033319368958473e-02 -1.0524729639291763e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2899 -1.1277659796178341e-02</internalNodes>
-          <leafValues>
-            -1.2068639695644379e-01 3.6691870540380478e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2900 -2.5908139068633318e-03</internalNodes>
-          <leafValues>
-            4.8961970955133438e-02 -2.7112780138850212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2901 3.9354357868432999e-03</internalNodes>
-          <leafValues>
-            -4.8803329467773438e-02 9.1594167053699493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2902 -5.7140849530696869e-03</internalNodes>
-          <leafValues>
-            6.5281033515930176e-02 -5.4428141564130783e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2903 7.5044799596071243e-03</internalNodes>
-          <leafValues>
-            4.0455900132656097e-02 -1.0016919672489166e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2904 3.6039410624653101e-03</internalNodes>
-          <leafValues>
-            -4.8441201448440552e-02 4.4366039335727692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2905 -1.4248499646782875e-02</internalNodes>
-          <leafValues>
-            -1.8958659470081329e-01 2.2379109635949135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2906 1.0746859759092331e-01</internalNodes>
-          <leafValues>
-            -1.4573340304195881e-02 1.8533800542354584e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2907 6.5448340028524399e-03</internalNodes>
-          <leafValues>
-            3.0963949859142303e-02 -1.5456229448318481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2908 4.0558791160583496e-01</internalNodes>
-          <leafValues>
-            -1.0606770403683186e-02 9.3066513538360596e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2909 4.5041620731353760e-01</internalNodes>
-          <leafValues>
-            -1.1917609721422195e-02 3.7239480018615723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2910 1.0484869480133057e+00</internalNodes>
-          <leafValues>
-            2.4846600368618965e-02 -2.0550209283828735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2911 -3.1736500561237335e-02</internalNodes>
-          <leafValues>
-            1.8238979578018188e-01 -2.0837070420384407e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2912 1.0162170231342316e-01</internalNodes>
-          <leafValues>
-            1.5214960090816021e-02 -2.8738000988960266e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2913 1.6911029815673828e-03</internalNodes>
-          <leafValues>
-            -2.7203610166907310e-02 1.5361389517784119e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2914 -5.5090200155973434e-02</internalNodes>
-          <leafValues>
-            4.0182009339332581e-01 -2.6924409903585911e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2915 -6.6355741582810879e-03</internalNodes>
-          <leafValues>
-            -1.0399519652128220e-01 3.9930969476699829e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2916 -2.8234618902206421e-01</internalNodes>
-          <leafValues>
-            -6.5735298395156860e-01 2.2085180971771479e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2917 3.5606080293655396e-01</internalNodes>
-          <leafValues>
-            8.8273994624614716e-03 -4.1840550303459167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2918 2.8794088866561651e-03</internalNodes>
-          <leafValues>
-            -4.7702580690383911e-02 4.8619240522384644e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2919 -3.4571390599012375e-02</internalNodes>
-          <leafValues>
-            -1.6541080176830292e-01 3.2450839877128601e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2920 7.0021182298660278e-02</internalNodes>
-          <leafValues>
-            7.1347500197589397e-03 -5.1421910524368286e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2921 -2.5386309251189232e-02</internalNodes>
-          <leafValues>
-            -1.2876220047473907e-01 2.9181970283389091e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2922 7.7927471138536930e-03</internalNodes>
-          <leafValues>
-            3.8529869168996811e-02 -4.9483839422464371e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2923 1.4281559735536575e-02</internalNodes>
-          <leafValues>
-            5.6447219103574753e-03 -7.0385247468948364e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2924 2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            -4.2018178850412369e-02 4.4230289757251740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2925 -3.5789560060948133e-03</internalNodes>
-          <leafValues>
-            4.6143290400505066e-01 -9.7652971744537354e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2926 -6.9024448748677969e-05</internalNodes>
-          <leafValues>
-            5.0133138895034790e-02 -5.8964539319276810e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2927 -3.0192299745976925e-03</internalNodes>
-          <leafValues>
-            -1.9493819773197174e-01 2.4710690602660179e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2928 -2.5278010871261358e-03</internalNodes>
-          <leafValues>
-            8.3505026996135712e-02 -2.5268739089369774e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2929 1.7980269622057676e-03</internalNodes>
-          <leafValues>
-            -4.8482459038496017e-02 9.4311736524105072e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2930 -2.2690620273351669e-02</internalNodes>
-          <leafValues>
-            -2.9978820681571960e-01 2.2890099789947271e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2931 1.4375130413100123e-03</internalNodes>
-          <leafValues>
-            -6.2439408153295517e-02 7.5290091335773468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2932 8.2696974277496338e-03</internalNodes>
-          <leafValues>
-            -3.0353950336575508e-02 8.8089391589164734e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2933 -1.5055939555168152e-01</internalNodes>
-          <leafValues>
-            1.9413860142230988e-01 -2.2772220894694328e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2934 1.7811149591580033e-03</internalNodes>
-          <leafValues>
-            -6.0310248285531998e-02 2.0073890686035156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2935 4.7450647689402103e-03</internalNodes>
-          <leafValues>
-            -5.1879990845918655e-02 7.4092343449592590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2936 -3.9645358920097351e-03</internalNodes>
-          <leafValues>
-            -1.2223859876394272e-01 1.8484760075807571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2937 2.1129579842090607e-01</internalNodes>
-          <leafValues>
-            6.9678751751780510e-03 -6.3405531644821167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2938 6.7932292819023132e-02</internalNodes>
-          <leafValues>
-            1.1238300241529942e-02 -2.9897838830947876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2939 3.5460498929023743e-01</internalNodes>
-          <leafValues>
-            1.0820729658007622e-02 -4.0180310606956482e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2940 6.7880570888519287e-02</internalNodes>
-          <leafValues>
-            -9.0837832540273666e-03 2.8558140993118286e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2941 2.3179009556770325e-02</internalNodes>
-          <leafValues>
-            1.2033659964799881e-02 -3.4283030033111572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2942 -2.5018129497766495e-02</internalNodes>
-          <leafValues>
-            1.6851060092449188e-01 -1.4854829758405685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2943 1.0846500284969807e-02</internalNodes>
-          <leafValues>
-            -4.9866069108247757e-02 9.1330289840698242e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2944 6.7432790994644165e-02</internalNodes>
-          <leafValues>
-            -6.7176923155784607e-02 5.2287008613348007e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2945 -1.0400989651679993e-01</internalNodes>
-          <leafValues>
-            2.1269090473651886e-01 -1.9635310396552086e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2946 -1.9552459940314293e-02</internalNodes>
-          <leafValues>
-            -8.5949383676052094e-02 1.0878560133278370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2947 -1.0041260393336415e-03</internalNodes>
-          <leafValues>
-            -8.8146753609180450e-02 5.3349688649177551e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2948 3.1779510900378227e-03</internalNodes>
-          <leafValues>
-            -2.5708079338073730e-02 1.2620189785957336e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2949 -5.1974221132695675e-03</internalNodes>
-          <leafValues>
-            -1.4909990131855011e-01 2.5734230875968933e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2950 -8.4385536611080170e-03</internalNodes>
-          <leafValues>
-            1.7627319693565369e-01 -1.7336180433630943e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2951 6.3723679631948471e-03</internalNodes>
-          <leafValues>
-            -2.8829930350184441e-02 1.6014620661735535e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2952 6.4913480309769511e-04</internalNodes>
-          <leafValues>
-            2.5060750544071198e-02 -6.8481996655464172e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2953 -2.3739310563541949e-05</internalNodes>
-          <leafValues>
-            5.9776719659566879e-02 -6.9079458713531494e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2954 2.1902309730648994e-02</internalNodes>
-          <leafValues>
-            1.5800049528479576e-02 -2.5902339816093445e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2955 -2.3225650191307068e-02</internalNodes>
-          <leafValues>
-            -1.5240189433097839e-01 3.4358970820903778e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2956 1.7396999523043633e-02</internalNodes>
-          <leafValues>
-            -4.4514410197734833e-02 8.6146168410778046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2957 -4.3821102008223534e-03</internalNodes>
-          <leafValues>
-            -6.5594673156738281e-02 7.0031292736530304e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2958 -5.2271839231252670e-02</internalNodes>
-          <leafValues>
-            -8.4593230485916138e-01 4.0736538358032703e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2959 -2.6945039280690253e-05</internalNodes>
-          <leafValues>
-            7.1103386580944061e-02 -5.6970071047544479e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2960 7.3246699757874012e-03</internalNodes>
-          <leafValues>
-            1.0148160159587860e-02 -1.6495819389820099e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2961 7.9648941755294800e-02</internalNodes>
-          <leafValues>
-            4.9309800378978252e-03 -7.3935991525650024e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2962 2.5645719841122627e-02</internalNodes>
-          <leafValues>
-            -9.9361119791865349e-03 1.9573490321636200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2963 -2.1517710760235786e-02</internalNodes>
-          <leafValues>
-            -3.7398171424865723e-01 1.0564680211246014e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2964 3.1084879301488400e-03</internalNodes>
-          <leafValues>
-            -2.3289280012249947e-02 4.4452898204326630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2965 -2.0305790007114410e-02</internalNodes>
-          <leafValues>
-            1.8450389802455902e-01 -2.2041650488972664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2966 -2.3073209740687162e-04</internalNodes>
-          <leafValues>
-            -4.2533028870820999e-02 4.0534239262342453e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2967 5.1654567942023277e-03</internalNodes>
-          <leafValues>
-            1.9550900906324387e-02 -2.7522230148315430e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2968 -1.3373889960348606e-02</internalNodes>
-          <leafValues>
-            -1.0676769912242889e-01 1.5713090077042580e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2969 -3.0557509511709213e-02</internalNodes>
-          <leafValues>
-            -4.9036020040512085e-01 8.4824627265334129e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2970 -4.4938637875020504e-03</internalNodes>
-          <leafValues>
-            2.4587419629096985e-01 -7.3765181005001068e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2971 1.5328789595514536e-03</internalNodes>
-          <leafValues>
-            -2.1998360753059387e-02 1.7105750739574432e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2972 2.8464570641517639e-02</internalNodes>
-          <leafValues>
-            -4.4271750375628471e-03 3.7864500284194946e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2973 -3.6278439220041037e-03</internalNodes>
-          <leafValues>
-            -1.1943010240793228e-01 3.6387339234352112e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2974 6.5880590118467808e-03</internalNodes>
-          <leafValues>
-            4.7421031631529331e-03 -2.3040629923343658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2975 -1.7257609870284796e-03</internalNodes>
-          <leafValues>
-            -1.5124620497226715e-01 2.4530509486794472e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2976 -4.0079229511320591e-03</internalNodes>
-          <leafValues>
-            1.1795750260353088e-01 -2.8455309569835663e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2977 6.0597620904445648e-03</internalNodes>
-          <leafValues>
-            -1.5942880883812904e-02 2.6349261403083801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2978 1.0206180065870285e-01</internalNodes>
-          <leafValues>
-            2.2873809561133385e-02 -1.7569309473037720e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2979 -5.3605949506163597e-03</internalNodes>
-          <leafValues>
-            -2.8432789444923401e-01 1.3539279811084270e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2980 1.3634009519591928e-03</internalNodes>
-          <leafValues>
-            1.5016339719295502e-02 -2.1692469716072083e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2981 -5.1867151341866702e-05</internalNodes>
-          <leafValues>
-            7.1595683693885803e-02 -5.9194121509790421e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2982 5.5599510669708252e-03</internalNodes>
-          <leafValues>
-            -5.0443381071090698e-02 2.4631209671497345e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2983 -8.1721879541873932e-03</internalNodes>
-          <leafValues>
-            1.4858539402484894e-01 -3.2055098563432693e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2984 -5.1187299191951752e-02</internalNodes>
-          <leafValues>
-            -2.5399059057235718e-01 6.8093240261077881e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2985 4.0242701768875122e-02</internalNodes>
-          <leafValues>
-            7.3603428900241852e-03 -5.3896129131317139e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2986 -8.6354929953813553e-03</internalNodes>
-          <leafValues>
-            2.0159240067005157e-01 -1.6828190535306931e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2987 6.2959326896816492e-05</internalNodes>
-          <leafValues>
-            -5.4412890225648880e-02 7.3297880589962006e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>377</maxWeakCount>
-      <stageThreshold>-1.0771520137786865e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 2988 -4.6584438532590866e-02</internalNodes>
-          <leafValues>
-            3.9758908748626709e-01 -1.0487789660692215e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2989 -1.3546080328524113e-02</internalNodes>
-          <leafValues>
-            1.0160709917545319e-01 -6.0582119971513748e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2990 2.1240619942545891e-02</internalNodes>
-          <leafValues>
-            -2.1520909667015076e-01 9.9192880094051361e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2991 -6.8675312213599682e-03</internalNodes>
-          <leafValues>
-            3.4559080004692078e-01 -2.7297310531139374e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2992 1.8874719971790910e-03</internalNodes>
-          <leafValues>
-            -6.2646366655826569e-02 2.2028639912605286e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2993 -9.6648931503295898e-03</internalNodes>
-          <leafValues>
-            1.2642039358615875e-01 -2.9440899379551411e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2994 5.7599171996116638e-03</internalNodes>
-          <leafValues>
-            -6.4545191824436188e-02 2.1166889369487762e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2995 4.2604688555002213e-02</internalNodes>
-          <leafValues>
-            8.1665478646755219e-02 -2.2115150094032288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2996 1.1809020070359111e-03</internalNodes>
-          <leafValues>
-            5.3782589733600616e-02 -2.1832549571990967e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2997 2.5866830721497536e-02</internalNodes>
-          <leafValues>
-            -3.4579040948301554e-03 -2.2809159755706787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2998 -1.3024089857935905e-02</internalNodes>
-          <leafValues>
-            -2.3362639546394348e-01 4.5519679784774780e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2999 -2.6178720872849226e-05</internalNodes>
-          <leafValues>
-            6.3058510422706604e-02 -3.5777151584625244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3000 3.8649858906865120e-03</internalNodes>
-          <leafValues>
-            4.1308909654617310e-02 -2.1261259913444519e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3001 -4.3429462239146233e-03</internalNodes>
-          <leafValues>
-            1.0967259854078293e-01 -6.7377433180809021e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3002 3.2463369425386190e-03</internalNodes>
-          <leafValues>
-            -5.9912640601396561e-02 2.4788300693035126e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3003 -4.4672209769487381e-02</internalNodes>
-          <leafValues>
-            -1.3787649571895599e-01 7.5812488794326782e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3004 -5.9697840362787247e-02</internalNodes>
-          <leafValues>
-            -3.7201279401779175e-01 2.4332780390977859e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3005 -9.9666267633438110e-03</internalNodes>
-          <leafValues>
-            7.4087321758270264e-02 -1.2867400050163269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3006 1.1090090265497565e-03</internalNodes>
-          <leafValues>
-            -4.5063789933919907e-02 1.9852949678897858e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3007 1.9137640297412872e-01</internalNodes>
-          <leafValues>
-            1.6608469188213348e-02 -4.0662389993667603e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3008 2.9130840674042702e-02</internalNodes>
-          <leafValues>
-            3.6106731742620468e-02 -2.1135319769382477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3009 -3.9123510941863060e-03</internalNodes>
-          <leafValues>
-            -1.3715060055255890e-01 3.1154200434684753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3010 1.0206189937889576e-02</internalNodes>
-          <leafValues>
-            2.9056249186396599e-02 -2.5032269954681396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3011 -5.4421171545982361e-02</internalNodes>
-          <leafValues>
-            -3.6787760257720947e-01 4.9542388878762722e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3012 1.0504369623959064e-02</internalNodes>
-          <leafValues>
-            -3.9119478315114975e-02 1.7866680026054382e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3013 -3.8903228938579559e-02</internalNodes>
-          <leafValues>
-            -1.1156520247459412e-01 4.9485109746456146e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3014 -3.0581050086766481e-03</internalNodes>
-          <leafValues>
-            1.1854489892721176e-01 -6.5253503620624542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3015 1.2071110308170319e-02</internalNodes>
-          <leafValues>
-            1.6908379271626472e-02 -4.6089250594377518e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3016 -3.6121580749750137e-02</internalNodes>
-          <leafValues>
-            -2.8585109114646912e-01 2.7392070740461349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3017 -7.0450740167871118e-05</internalNodes>
-          <leafValues>
-            8.1192217767238617e-02 -8.5339479148387909e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3018 -6.1475399881601334e-02</internalNodes>
-          <leafValues>
-            -3.0502641201019287e-01 2.1672610193490982e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3019 1.2384360283613205e-01</internalNodes>
-          <leafValues>
-            -8.6616817861795425e-03 9.5883563160896301e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3020 -1.3729789853096008e-01</internalNodes>
-          <leafValues>
-            3.2487779855728149e-01 -2.7384700253605843e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3021 -3.7660130858421326e-01</internalNodes>
-          <leafValues>
-            6.9512300193309784e-02 -8.7510026991367340e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3022 -1.0428489744663239e-01</internalNodes>
-          <leafValues>
-            -1.7433910071849823e-01 4.6572308987379074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3023 1.5377249568700790e-02</internalNodes>
-          <leafValues>
-            7.2437077760696411e-03 -3.7064689397811890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3024 1.0340980254113674e-02</internalNodes>
-          <leafValues>
-            1.9599150866270065e-02 -3.5058119893074036e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3025 2.6178720872849226e-05</internalNodes>
-          <leafValues>
-            -3.7143740803003311e-02 4.6319041401147842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3026 -5.1104918384226039e-05</internalNodes>
-          <leafValues>
-            7.5019650161266327e-02 -9.5568731427192688e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3027 1.2594480067491531e-03</internalNodes>
-          <leafValues>
-            -3.6140341311693192e-02 1.4024050533771515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3028 -4.4775051064789295e-03</internalNodes>
-          <leafValues>
-            1.1984299868345261e-01 -5.5974781513214111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3029 -2.5892409030348063e-03</internalNodes>
-          <leafValues>
-            2.0983800292015076e-01 -2.1606909111142159e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3030 2.8334530725260265e-05</internalNodes>
-          <leafValues>
-            -6.4645819365978241e-02 1.1007639765739441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3031 4.9330651760101318e-02</internalNodes>
-          <leafValues>
-            -3.4308250993490219e-02 1.0559219866991043e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3032 -3.1046869116835296e-04</internalNodes>
-          <leafValues>
-            3.8028620183467865e-02 -2.0678110420703888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3033 1.1290919966995716e-02</internalNodes>
-          <leafValues>
-            -4.3023418635129929e-02 1.6977259516716003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3034 -1.9364829640835524e-03</internalNodes>
-          <leafValues>
-            -1.0826709866523743e-01 6.4394846558570862e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3035 1.3304199278354645e-01</internalNodes>
-          <leafValues>
-            -1.0764880105853081e-02 3.0249550938606262e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3036 -1.2178049981594086e-01</internalNodes>
-          <leafValues>
-            -4.0108850598335266e-01 1.9901329651474953e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3037 -4.8507350584259257e-05</internalNodes>
-          <leafValues>
-            5.7830650359392166e-02 -5.5416390299797058e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3038 8.1427283585071564e-03</internalNodes>
-          <leafValues>
-            -1.3038429617881775e-01 5.0446111708879471e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3039 2.5049310922622681e-01</internalNodes>
-          <leafValues>
-            4.9552097916603088e-03 -8.4521442651748657e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3040 2.9000479262322187e-03</internalNodes>
-          <leafValues>
-            -4.8634160310029984e-02 1.3975860178470612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3041 -9.5292963087558746e-03</internalNodes>
-          <leafValues>
-            -4.8227089643478394e-01 8.9182211086153984e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3042 -1.2608580291271210e-03</internalNodes>
-          <leafValues>
-            -1.4396399259567261e-01 4.4625461101531982e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3043 6.9864251418039203e-04</internalNodes>
-          <leafValues>
-            -5.3468879312276840e-02 4.4480290263891220e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3044 5.0955888582393527e-05</internalNodes>
-          <leafValues>
-            -9.1091223061084747e-02 6.1559129506349564e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3045 -4.2289011180400848e-02</internalNodes>
-          <leafValues>
-            -1.4529189467430115e-01 2.2947659716010094e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3046 8.3977341651916504e-02</internalNodes>
-          <leafValues>
-            3.7113729864358902e-02 -1.6206559538841248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3047 9.1143082827329636e-03</internalNodes>
-          <leafValues>
-            -8.4407972171902657e-03 1.0362890362739563e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3048 4.6319790271809325e-05</internalNodes>
-          <leafValues>
-            -6.7505158483982086e-02 8.5311636328697205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3049 5.2136087417602539e-01</internalNodes>
-          <leafValues>
-            -1.4404560439288616e-02 4.4966968894004822e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3050 1.5858359634876251e-02</internalNodes>
-          <leafValues>
-            2.4507109075784683e-02 -2.8061380982398987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3051 9.0295937843620777e-04</internalNodes>
-          <leafValues>
-            -1.9777469336986542e-02 5.8223951607942581e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3052 -1.6763530438765883e-03</internalNodes>
-          <leafValues>
-            -1.5801259875297546e-01 3.4012299031019211e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3053 -2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            5.1980741322040558e-02 -3.5259820520877838e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3054 2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            -7.7739536762237549e-02 7.5770601630210876e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3055 5.9450380504131317e-03</internalNodes>
-          <leafValues>
-            -1.0767629742622375e-01 4.7342531383037567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3056 -3.3886708319187164e-02</internalNodes>
-          <leafValues>
-            2.5395831465721130e-01 -2.6396760717034340e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3057 5.5312961339950562e-03</internalNodes>
-          <leafValues>
-            -2.7721639722585678e-02 2.3233540356159210e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3058 -6.0472032055258751e-03</internalNodes>
-          <leafValues>
-            -1.7387150228023529e-01 3.4561499953269958e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3059 -3.1955521553754807e-02</internalNodes>
-          <leafValues>
-            -1.9199980422854424e-02 3.0842060223221779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3060 9.0737096965312958e-02</internalNodes>
-          <leafValues>
-            7.7871060930192471e-03 -7.5864750146865845e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3061 -1.2445859611034393e-02</internalNodes>
-          <leafValues>
-            1.4370959997177124e-01 -1.0477649979293346e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3062 1.1301520280539989e-02</internalNodes>
-          <leafValues>
-            -1.3221940398216248e-01 4.0967330336570740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3063 -1.0558320209383965e-02</internalNodes>
-          <leafValues>
-            -3.3963328599929810e-01 1.2630919925868511e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3064 4.6060150489211082e-03</internalNodes>
-          <leafValues>
-            -3.5319130867719650e-02 1.5813319385051727e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3065 -3.0661260709166527e-02</internalNodes>
-          <leafValues>
-            -5.8793282508850098e-01 9.6826143562793732e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3066 -6.2674311921000481e-03</internalNodes>
-          <leafValues>
-            -1.9762620329856873e-01 2.6928830891847610e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3067 1.2989880051463842e-03</internalNodes>
-          <leafValues>
-            -2.9124230146408081e-02 7.6282523572444916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3068 4.8161852173507214e-03</internalNodes>
-          <leafValues>
-            1.8022129312157631e-02 -2.9259270429611206e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3069 -4.4622411951422691e-03</internalNodes>
-          <leafValues>
-            4.8554401844739914e-02 -4.6847470104694366e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3070 -4.9135680455947295e-05</internalNodes>
-          <leafValues>
-            8.1215217709541321e-02 -6.3379563391208649e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3071 5.0573139451444149e-03</internalNodes>
-          <leafValues>
-            1.4097140170633793e-02 -2.0685930550098419e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3072 1.3823669869452715e-03</internalNodes>
-          <leafValues>
-            -4.2655818164348602e-02 1.1541669815778732e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3073 -4.0184449404478073e-02</internalNodes>
-          <leafValues>
-            -2.9843661189079285e-01 1.7463730648159981e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3074 7.0384680293500423e-03</internalNodes>
-          <leafValues>
-            -5.2195250988006592e-02 9.4690658152103424e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3075 -5.6935990869533271e-05</internalNodes>
-          <leafValues>
-            5.0736121833324432e-02 -1.2229949980974197e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3076 5.9834190324181691e-05</internalNodes>
-          <leafValues>
-            -6.1534628272056580e-02 8.2193866372108459e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3077 2.3980330675840378e-02</internalNodes>
-          <leafValues>
-            8.9948609471321106e-02 -5.3157258778810501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3078 1.9857319071888924e-02</internalNodes>
-          <leafValues>
-            -2.9017150402069092e-02 1.9026429951190948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3079 -1.8872609734535217e-01</internalNodes>
-          <leafValues>
-            -1.8916009366512299e-01 9.1472929343581200e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3080 -5.3056180477142334e-03</internalNodes>
-          <leafValues>
-            5.9502270072698593e-02 -1.1066360026597977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3081 1.7961669713258743e-02</internalNodes>
-          <leafValues>
-            6.9341547787189484e-03 -2.9351618885993958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3082 4.4897631742060184e-03</internalNodes>
-          <leafValues>
-            3.4544911235570908e-02 -1.4389620721340179e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3083 -1.3780979812145233e-01</internalNodes>
-          <leafValues>
-            6.6656690835952759e-01 -7.6799020171165466e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3084 2.5066170841455460e-02</internalNodes>
-          <leafValues>
-            2.7024639770388603e-02 -1.8130689859390259e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3085 -6.6011329181492329e-03</internalNodes>
-          <leafValues>
-            -4.7107979655265808e-02 5.3564820438623428e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3086 4.4634088873863220e-02</internalNodes>
-          <leafValues>
-            -5.8299250900745392e-02 8.5404127836227417e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3087 -2.0959110930562019e-02</internalNodes>
-          <leafValues>
-            1.7154890298843384e-01 -3.0249819159507751e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3088 4.8691190779209137e-02</internalNodes>
-          <leafValues>
-            2.1405220031738281e-02 -2.3135960102081299e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3089 3.3477138727903366e-02</internalNodes>
-          <leafValues>
-            -1.7535399645566940e-02 2.0705880224704742e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3090 -1.5782449394464493e-02</internalNodes>
-          <leafValues>
-            2.0446999371051788e-01 -2.9454570263624191e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3091 2.1625500172376633e-02</internalNodes>
-          <leafValues>
-            -1.2141889892518520e-02 2.5204500555992126e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3092 -5.1940139383077621e-03</internalNodes>
-          <leafValues>
-            -1.2218979746103287e-01 4.5143280178308487e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3093 -3.1310278922319412e-02</internalNodes>
-          <leafValues>
-            2.8687921166419983e-01 -8.2902582362294197e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3094 1.5542740002274513e-02</internalNodes>
-          <leafValues>
-            2.7400100603699684e-02 -2.0353409647941589e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3095 -5.2836928516626358e-03</internalNodes>
-          <leafValues>
-            5.4194588214159012e-02 -2.4016149342060089e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3096 -6.4056441187858582e-03</internalNodes>
-          <leafValues>
-            1.3316440582275391e-01 -4.6583179384469986e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3097 -4.7195679508149624e-03</internalNodes>
-          <leafValues>
-            -1.0466440021991730e-01 2.9198190197348595e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3098 -1.2241840362548828e-02</internalNodes>
-          <leafValues>
-            -3.5400021076202393e-01 1.5616860240697861e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3099 -3.4770739730447531e-03</internalNodes>
-          <leafValues>
-            4.7154370695352554e-02 -3.7254210561513901e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3100 1.8311959505081177e-01</internalNodes>
-          <leafValues>
-            -4.9684889614582062e-02 1.2035690248012543e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3101 -1.3658869266510010e-01</internalNodes>
-          <leafValues>
-            -2.2701020538806915e-01 8.3362739533185959e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3102 -4.4932749122381210e-02</internalNodes>
-          <leafValues>
-            7.9606711864471436e-02 -6.9477088749408722e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3103 -1.0785179911181331e-03</internalNodes>
-          <leafValues>
-            1.1147390305995941e-01 -3.0282339081168175e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3104 -8.6406682385131717e-04</internalNodes>
-          <leafValues>
-            -1.4347119629383087e-01 3.7838041782379150e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3105 1.4584630262106657e-03</internalNodes>
-          <leafValues>
-            -2.7251800522208214e-02 1.5474230051040649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3106 -1.8864479660987854e-01</internalNodes>
-          <leafValues>
-            1.7952759563922882e-01 -3.0425619333982468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3107 -9.0535402705427259e-05</internalNodes>
-          <leafValues>
-            3.7944830954074860e-02 -3.4926921129226685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3108 -9.8015682306140661e-04</internalNodes>
-          <leafValues>
-            1.4717060327529907e-01 -3.5082500427961349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3109 -1.2613929808139801e-02</internalNodes>
-          <leafValues>
-            -2.3039579391479492e-01 2.6101479306817055e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3110 5.1353210437810048e-05</internalNodes>
-          <leafValues>
-            -7.3191367089748383e-02 7.0723876357078552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3111 -1.1017440119758248e-03</internalNodes>
-          <leafValues>
-            1.0001300275325775e-01 -1.9991559907793999e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3112 2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            -7.3069721460342407e-02 7.6998889446258545e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3113 -8.5628936067223549e-03</internalNodes>
-          <leafValues>
-            5.3870048373937607e-02 -8.1171043217182159e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3114 2.4042169749736786e-01</internalNodes>
-          <leafValues>
-            -1.4012940227985382e-02 5.0366157293319702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3115 5.4416628554463387e-03</internalNodes>
-          <leafValues>
-            2.5490989908576012e-02 -1.2167359888553619e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3116 1.2384300120174885e-02</internalNodes>
-          <leafValues>
-            1.2509509921073914e-02 -3.8121658563613892e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3117 9.6918210387229919e-02</internalNodes>
-          <leafValues>
-            -1.2539669871330261e-02 1.0202600061893463e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3118 1.2472909688949585e-01</internalNodes>
-          <leafValues>
-            8.6807161569595337e-03 -6.0219871997833252e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3119 5.1862320106010884e-05</internalNodes>
-          <leafValues>
-            -6.0201589018106461e-02 6.4894728362560272e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3120 -5.2220391808077693e-05</internalNodes>
-          <leafValues>
-            7.8609548509120941e-02 -6.0117799788713455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3121 -2.3879110813140869e-05</internalNodes>
-          <leafValues>
-            7.9572148621082306e-02 -5.4761201143264771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3122 2.4684870368218981e-05</internalNodes>
-          <leafValues>
-            -7.5995661318302155e-02 8.9526608586311340e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3123 6.6632673144340515e-02</internalNodes>
-          <leafValues>
-            1.1696009896695614e-02 -3.8171160221099854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3124 2.0522400736808777e-03</internalNodes>
-          <leafValues>
-            -3.4895081073045731e-02 1.3413290679454803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3125 -3.9307191036641598e-03</internalNodes>
-          <leafValues>
-            -6.6283293068408966e-02 2.9610849916934967e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3126 1.2441479600965977e-02</internalNodes>
-          <leafValues>
-            1.5905169770121574e-02 -3.2050350308418274e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3127 3.8802489638328552e-02</internalNodes>
-          <leafValues>
-            -1.5245269984006882e-02 6.3629612326622009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3128 -6.3351631979458034e-05</internalNodes>
-          <leafValues>
-            6.1788670718669891e-02 -7.1749016642570496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3129 -2.4020129814743996e-02</internalNodes>
-          <leafValues>
-            2.4262709915637970e-01 -8.7506501004099846e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3130 6.7699998617172241e-03</internalNodes>
-          <leafValues>
-            -3.3120978623628616e-02 1.4404219388961792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3131 -1.6888360679149628e-01</internalNodes>
-          <leafValues>
-            3.5152590274810791e-01 -7.1931672282516956e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3132 -6.7578062415122986e-02</internalNodes>
-          <leafValues>
-            -2.2686310112476349e-01 2.5602210313081741e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3133 -1.1355879716575146e-02</internalNodes>
-          <leafValues>
-            -6.2450700998306274e-01 2.5642369873821735e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3134 7.7880248427391052e-02</internalNodes>
-          <leafValues>
-            7.9159401357173920e-03 -5.6059461832046509e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3135 -2.9031829908490181e-03</internalNodes>
-          <leafValues>
-            9.4153687357902527e-02 -4.9611900001764297e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3136 -2.4730090517550707e-03</internalNodes>
-          <leafValues>
-            1.0858210176229477e-01 -5.3893819451332092e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3137 3.8511860184371471e-03</internalNodes>
-          <leafValues>
-            2.3423779755830765e-02 -1.3090899586677551e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3138 -2.2390179801732302e-03</internalNodes>
-          <leafValues>
-            -2.1743249893188477e-01 2.4435719475150108e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3139 7.3695750907063484e-03</internalNodes>
-          <leafValues>
-            -2.4774579331278801e-02 1.1588659882545471e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3140 -4.6323970891535282e-03</internalNodes>
-          <leafValues>
-            1.2989379465579987e-01 -3.8149699568748474e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3141 1.9922649487853050e-02</internalNodes>
-          <leafValues>
-            1.5869069844484329e-02 -1.8562960624694824e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3142 1.6726849600672722e-02</internalNodes>
-          <leafValues>
-            1.6922770440578461e-01 -3.2117698341608047e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3143 -1.4559989795088768e-03</internalNodes>
-          <leafValues>
-            7.2710826992988586e-02 -5.3102489560842514e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3144 1.4368960261344910e-01</internalNodes>
-          <leafValues>
-            -1.0999070107936859e-01 6.3211508095264435e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3145 -5.9681031852960587e-03</internalNodes>
-          <leafValues>
-            8.5351467132568359e-02 -3.1996998935937881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3146 8.6067931260913610e-04</internalNodes>
-          <leafValues>
-            -6.7739866673946381e-02 7.8335791826248169e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3147 2.2462129127234221e-03</internalNodes>
-          <leafValues>
-            4.2138159275054932e-02 -1.5379780530929565e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3148 -2.3184010758996010e-02</internalNodes>
-          <leafValues>
-            2.3559680581092834e-01 -2.2087629884481430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3149 8.3518847532104701e-05</internalNodes>
-          <leafValues>
-            -4.9133669584989548e-02 3.5325560718774796e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3150 -2.2380428854376078e-03</internalNodes>
-          <leafValues>
-            1.7978920042514801e-01 -2.4958169087767601e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3151 -3.6487199831753969e-03</internalNodes>
-          <leafValues>
-            -4.8889059573411942e-02 1.5720760449767113e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3152 2.4686430115252733e-03</internalNodes>
-          <leafValues>
-            3.4214280545711517e-02 -1.3692939281463623e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3153 -1.7901340499520302e-02</internalNodes>
-          <leafValues>
-            2.0170210301876068e-01 -5.8616171590983868e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3154 5.4372870363295078e-04</internalNodes>
-          <leafValues>
-            -8.1766016781330109e-02 5.7825129479169846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3155 7.2202371666207910e-04</internalNodes>
-          <leafValues>
-            2.4502370506525040e-02 -6.1022099107503891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3156 -3.6474859807640314e-03</internalNodes>
-          <leafValues>
-            -1.4141079783439636e-01 3.6404989659786224e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3157 7.3206011438742280e-04</internalNodes>
-          <leafValues>
-            -4.3659660965204239e-02 4.8195239156484604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3158 3.1086079776287079e-02</internalNodes>
-          <leafValues>
-            3.6769669502973557e-02 -1.4276769757270813e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3159 -6.9447411224246025e-03</internalNodes>
-          <leafValues>
-            3.5043680667877197e-01 -7.0687229745090008e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3160 6.0204358305782080e-05</internalNodes>
-          <leafValues>
-            -1.2189149856567383e-01 4.1316650807857513e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3161 3.6609929054975510e-02</internalNodes>
-          <leafValues>
-            1.9925929605960846e-02 -9.8471991717815399e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3162 -1.0960429906845093e-02</internalNodes>
-          <leafValues>
-            1.2811520695686340e-01 -3.8388188928365707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3163 -2.3295450955629349e-03</internalNodes>
-          <leafValues>
-            7.0760749280452728e-02 -2.8919460251927376e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3164 6.1855830252170563e-02</internalNodes>
-          <leafValues>
-            -4.7587100416421890e-02 9.8586358129978180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3165 -2.3475209251046181e-02</internalNodes>
-          <leafValues>
-            8.6964562535285950e-02 -1.2254109606146812e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3166 -9.3669712077826262e-04</internalNodes>
-          <leafValues>
-            8.1251077353954315e-02 -5.4221849888563156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3167 -1.3151890039443970e-01</internalNodes>
-          <leafValues>
-            -1.5397280454635620e-01 1.0072549805045128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3168 8.8957380503416061e-03</internalNodes>
-          <leafValues>
-            3.1962350010871887e-02 -1.3615429401397705e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3169 -8.2765902334358543e-05</internalNodes>
-          <leafValues>
-            5.3280740976333618e-02 -5.5038310587406158e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3170 2.0361710339784622e-03</internalNodes>
-          <leafValues>
-            3.5483650863170624e-02 -1.2068919837474823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3171 2.8764940798282623e-03</internalNodes>
-          <leafValues>
-            -2.7869360521435738e-02 1.0440739989280701e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3172 -9.9125062115490437e-04</internalNodes>
-          <leafValues>
-            9.7983770072460175e-02 -5.9333961457014084e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3173 3.0070789158344269e-02</internalNodes>
-          <leafValues>
-            1.6433039680123329e-02 -9.3353606760501862e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3174 -5.2220391808077693e-05</internalNodes>
-          <leafValues>
-            7.5220681726932526e-02 -5.7729821652173996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3175 -1.4955939352512360e-01</internalNodes>
-          <leafValues>
-            -5.7173091173171997e-01 7.4865440838038921e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3176 -1.0101850144565105e-02</internalNodes>
-          <leafValues>
-            1.8661679327487946e-01 -2.6581920683383942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3177 -2.3593820631504059e-02</internalNodes>
-          <leafValues>
-            -3.6165231466293335e-01 8.6832279339432716e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3178 -5.6298989802598953e-02</internalNodes>
-          <leafValues>
-            3.8091570138931274e-01 -1.2540389783680439e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3179 4.8374498874181882e-05</internalNodes>
-          <leafValues>
-            -3.7239558994770050e-02 4.3505970388650894e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3180 7.3194838478229940e-05</internalNodes>
-          <leafValues>
-            -5.7480230927467346e-02 8.0166891217231750e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3181 -2.2648379206657410e-02</internalNodes>
-          <leafValues>
-            -9.1465108096599579e-02 6.0311011038720608e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3182 7.5446818955242634e-03</internalNodes>
-          <leafValues>
-            2.7741640806198120e-02 -1.7181250452995300e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3183 -1.0577409714460373e-01</internalNodes>
-          <leafValues>
-            5.3441429138183594e-01 -5.1590129733085632e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3184 4.4444771483540535e-03</internalNodes>
-          <leafValues>
-            3.4301549196243286e-02 -1.4514839649200439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3185 5.6781400926411152e-03</internalNodes>
-          <leafValues>
-            -4.3091170489788055e-02 1.4633339643478394e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3186 -1.0109309852123260e-01</internalNodes>
-          <leafValues>
-            -1.7478010058403015e-01 2.8068430721759796e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3187 -4.7357238829135895e-02</internalNodes>
-          <leafValues>
-            1.6704539954662323e-01 -1.5818670392036438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3188 -5.7674032449722290e-01</internalNodes>
-          <leafValues>
-            -6.2243127822875977e-01 7.9542007297277451e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3189 1.8059749854728580e-03</internalNodes>
-          <leafValues>
-            -1.6442989930510521e-02 4.6261239796876907e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3190 1.4680040068924427e-02</internalNodes>
-          <leafValues>
-            8.1173582002520561e-03 -5.5666857957839966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3191 -1.6897849738597870e-01</internalNodes>
-          <leafValues>
-            -3.1401479244232178e-01 1.2572989799082279e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3192 -1.9389929249882698e-02</internalNodes>
-          <leafValues>
-            1.5510299801826477e-01 -2.7996309101581573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3193 -2.6446670293807983e-02</internalNodes>
-          <leafValues>
-            -3.1462061405181885e-01 1.7393559217453003e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3194 -4.5732469297945499e-03</internalNodes>
-          <leafValues>
-            -1.3583140075206757e-01 3.7665959447622299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3195 7.8531084582209587e-03</internalNodes>
-          <leafValues>
-            -3.6102959420531988e-03 1.8964889645576477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3196 2.7107769710710272e-05</internalNodes>
-          <leafValues>
-            -8.4309861063957214e-02 5.4540161043405533e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3197 -2.0377049222588539e-02</internalNodes>
-          <leafValues>
-            1.1659640073776245e-01 -1.3695999979972839e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3198 1.7351469397544861e-01</internalNodes>
-          <leafValues>
-            -1.2655749917030334e-02 3.5746860504150391e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3199 5.4228559136390686e-02</internalNodes>
-          <leafValues>
-            9.2725036665797234e-03 -1.7699269950389862e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3200 5.4582608863711357e-03</internalNodes>
-          <leafValues>
-            -4.3747000396251678e-02 1.0337469726800919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3201 6.3768923282623291e-02</internalNodes>
-          <leafValues>
-            2.1960640326142311e-02 -2.0528109371662140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3202 1.1216020211577415e-02</internalNodes>
-          <leafValues>
-            -6.0158800333738327e-02 7.7689386904239655e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3203 3.9365720003843307e-02</internalNodes>
-          <leafValues>
-            -2.0138410851359367e-02 1.2760840356349945e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3204 -1.6133710741996765e-02</internalNodes>
-          <leafValues>
-            1.1279760301113129e-01 -6.0140721499919891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3205 -1.6923110233619809e-03</internalNodes>
-          <leafValues>
-            2.8056159615516663e-02 -4.9229931086301804e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3206 -4.9907790526049212e-05</internalNodes>
-          <leafValues>
-            7.2209537029266357e-02 -5.7712871581315994e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3207 8.3856992423534393e-03</internalNodes>
-          <leafValues>
-            4.2978320270776749e-03 -4.8725709319114685e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3208 -6.8764640018343925e-03</internalNodes>
-          <leafValues>
-            -3.5551750659942627e-01 1.0993010364472866e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3209 -7.4763470329344273e-03</internalNodes>
-          <leafValues>
-            1.6195739805698395e-01 -2.6884159073233604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3210 3.8878160994499922e-03</internalNodes>
-          <leafValues>
-            -1.1019629985094070e-01 4.0942940860986710e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3211 -6.3231296837329865e-02</internalNodes>
-          <leafValues>
-            4.9099159240722656e-01 -5.1781800575554371e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3212 -5.6607749313116074e-02</internalNodes>
-          <leafValues>
-            3.7937331199645996e-01 -1.0820900090038776e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3213 -2.6267269253730774e-01</internalNodes>
-          <leafValues>
-            -4.4802859425544739e-01 1.0556190274655819e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3214 -5.4856478527653962e-05</internalNodes>
-          <leafValues>
-            6.5392680466175079e-02 -6.2045000493526459e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3215 4.7022080252645537e-05</internalNodes>
-          <leafValues>
-            -3.5339221358299255e-02 4.8449590802192688e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3216 7.6384996646083891e-05</internalNodes>
-          <leafValues>
-            -5.5468279868364334e-02 8.1199139356613159e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3217 -1.3491000235080719e-01</internalNodes>
-          <leafValues>
-            -5.6497681140899658e-01 5.8416058309376240e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3218 -1.7328690737485886e-02</internalNodes>
-          <leafValues>
-            6.8611651659011841e-02 -6.2486048787832260e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3219 -1.1590039730072021e-01</internalNodes>
-          <leafValues>
-            3.5991528630256653e-01 -7.0457011461257935e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3220 -2.5972709991037846e-03</internalNodes>
-          <leafValues>
-            -6.1048980802297592e-02 7.2908006608486176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3221 -5.8517122268676758e-01</internalNodes>
-          <leafValues>
-            1.7067320644855499e-01 -2.7490269392728806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3222 -1.6476539894938469e-02</internalNodes>
-          <leafValues>
-            1.3038930296897888e-01 -3.3192738890647888e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3223 -4.7457408159971237e-02</internalNodes>
-          <leafValues>
-            9.3888796865940094e-02 -4.7779250890016556e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3224 -7.1776830591261387e-03</internalNodes>
-          <leafValues>
-            -1.9722719490528107e-01 2.3815890774130821e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3225 8.9368229964748025e-04</internalNodes>
-          <leafValues>
-            -3.8510698825120926e-02 1.2537740170955658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3226 -1.5897080302238464e-01</internalNodes>
-          <leafValues>
-            4.2691999673843384e-01 -1.1353019624948502e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3227 -1.5724339755252004e-03</internalNodes>
-          <leafValues>
-            1.3034050166606903e-01 -2.9230359941720963e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3228 6.2912302382756025e-05</internalNodes>
-          <leafValues>
-            -5.3911529481410980e-02 8.9420966804027557e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3229 7.9537890851497650e-03</internalNodes>
-          <leafValues>
-            2.9220320284366608e-02 -1.6147419810295105e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3230 2.7854310348629951e-02</internalNodes>
-          <leafValues>
-            8.1461891531944275e-03 -5.0107979774475098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3231 -3.0726810917258263e-02</internalNodes>
-          <leafValues>
-            -3.9195880293846130e-01 6.9215041585266590e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3232 -3.5664699971675873e-02</internalNodes>
-          <leafValues>
-            -7.5857192277908325e-01 5.3641172125935555e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3233 3.6027681082487106e-02</internalNodes>
-          <leafValues>
-            -1.9103139638900757e-02 2.4392929673194885e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3234 6.5820151939988136e-04</internalNodes>
-          <leafValues>
-            -8.8687792420387268e-02 5.6508339941501617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3235 -1.2858919799327850e-01</internalNodes>
-          <leafValues>
-            -1.3470490276813507e-01 1.5026190318167210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3236 -2.5442369282245636e-02</internalNodes>
-          <leafValues>
-            -1.9021469354629517e-01 2.1260490640997887e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3237 5.1264330744743347e-02</internalNodes>
-          <leafValues>
-            -3.6050491034984589e-03 3.7001758813858032e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3238 3.2650150358676910e-02</internalNodes>
-          <leafValues>
-            -1.3591149821877480e-02 3.2766878604888916e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3239 5.5878241546452045e-03</internalNodes>
-          <leafValues>
-            -8.4945466369390488e-03 8.9727967977523804e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3240 -4.5875091105699539e-02</internalNodes>
-          <leafValues>
-            4.1267889738082886e-01 -9.8934909328818321e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3241 5.4674488492310047e-03</internalNodes>
-          <leafValues>
-            -3.0802270397543907e-02 6.0756050050258636e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3242 1.0691279917955399e-01</internalNodes>
-          <leafValues>
-            -3.0546620488166809e-02 1.4703939855098724e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3243 5.8234319090843201e-02</internalNodes>
-          <leafValues>
-            1.7207229975610971e-03 -6.0017997026443481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3244 5.4181519895792007e-02</internalNodes>
-          <leafValues>
-            1.1113340035080910e-02 -4.2601078748703003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3245 1.9892099499702454e-01</internalNodes>
-          <leafValues>
-            1.5127729857340455e-03 -6.6665178537368774e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3246 -8.3669811487197876e-02</internalNodes>
-          <leafValues>
-            -1.5974959731101990e-01 2.5830730795860291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3247 -3.8393560796976089e-02</internalNodes>
-          <leafValues>
-            -4.1582900285720825e-01 9.7704501822590828e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3248 5.7619191706180573e-02</internalNodes>
-          <leafValues>
-            9.3507859855890274e-03 -4.1870141029357910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3249 4.4033560901880264e-02</internalNodes>
-          <leafValues>
-            -4.6378269791603088e-02 9.1974459588527679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3250 2.6608958840370178e-01</internalNodes>
-          <leafValues>
-            1.0085210204124451e-02 -3.8973841071128845e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3251 -5.3618479520082474e-02</internalNodes>
-          <leafValues>
-            -5.0888961553573608e-01 4.0682330727577209e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3252 -6.6047519794665277e-05</internalNodes>
-          <leafValues>
-            6.9126643240451813e-02 -5.9194508939981461e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3253 5.5685410188743845e-05</internalNodes>
-          <leafValues>
-            -4.0055848658084869e-02 5.4304640740156174e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3254 -5.3049330745125189e-05</internalNodes>
-          <leafValues>
-            7.3174417018890381e-02 -5.9858329594135284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3255 -1.2469390407204628e-02</internalNodes>
-          <leafValues>
-            -3.1522521376609802e-01 1.1735130101442337e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3256 -9.2733606696128845e-02</internalNodes>
-          <leafValues>
-            3.2328981161117554e-01 -1.2764150276780128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3257 5.9549742937088013e-01</internalNodes>
-          <leafValues>
-            8.3142714574933052e-03 -5.6721991300582886e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3258 5.3787451982498169e-01</internalNodes>
-          <leafValues>
-            -1.4138909988105297e-02 3.2671380043029785e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3259 -1.9027920067310333e-01</internalNodes>
-          <leafValues>
-            -6.6162157058715820e-01 7.4805710464715958e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3260 6.7436046898365021e-02</internalNodes>
-          <leafValues>
-            5.3405929356813431e-03 -5.7537007331848145e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3261 -1.7849049763754010e-03</internalNodes>
-          <leafValues>
-            3.4301608800888062e-02 -1.2449859827756882e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3262 -1.7916489392518997e-02</internalNodes>
-          <leafValues>
-            2.1311169862747192e-01 -2.1878639236092567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3263 3.4813389647752047e-03</internalNodes>
-          <leafValues>
-            2.6820680126547813e-02 -1.0166029632091522e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3264 1.6392209799960256e-03</internalNodes>
-          <leafValues>
-            -2.2629670798778534e-02 1.6795350611209869e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3265 5.8717228966997936e-05</internalNodes>
-          <leafValues>
-            -9.6914820373058319e-02 5.4079819470643997e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3266 -1.1430910089984536e-03</internalNodes>
-          <leafValues>
-            -9.1304652392864227e-02 4.7841008752584457e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3267 -1.2747140228748322e-01</internalNodes>
-          <leafValues>
-            1.2315750122070312e-01 -3.9322629570960999e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3268 5.0409889809088781e-05</internalNodes>
-          <leafValues>
-            -4.6518798917531967e-02 9.3584999442100525e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3269 -7.7158221974968910e-03</internalNodes>
-          <leafValues>
-            -6.5466707944869995e-01 3.9967028424143791e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3270 2.7107769710710272e-05</internalNodes>
-          <leafValues>
-            -6.4025022089481354e-02 6.3265442848205566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3271 1.5383179998025298e-03</internalNodes>
-          <leafValues>
-            2.2635150700807571e-02 -1.9351179897785187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3272 -6.4936917624436319e-05</internalNodes>
-          <leafValues>
-            5.7882208377122879e-02 -7.3858819901943207e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3273 1.3653080165386200e-01</internalNodes>
-          <leafValues>
-            -1.4967570081353188e-02 2.6669740676879883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3274 1.8993720412254333e-01</internalNodes>
-          <leafValues>
-            1.2506790459156036e-02 -3.5344779491424561e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3275 3.1455919146537781e-02</internalNodes>
-          <leafValues>
-            1.8380979076027870e-02 -6.0388348996639252e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3276 -2.6903549209237099e-02</internalNodes>
-          <leafValues>
-            -2.2182409465312958e-01 1.8634779378771782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3277 -2.5814530253410339e-01</internalNodes>
-          <leafValues>
-            -8.0185538530349731e-01 3.8440190837718546e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3278 1.5139740705490112e-01</internalNodes>
-          <leafValues>
-            2.6706179603934288e-02 -1.5360879898071289e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3279 4.4095158576965332e-02</internalNodes>
-          <leafValues>
-            4.9483109265565872e-02 -1.3220359571278095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3280 1.7376670148223639e-03</internalNodes>
-          <leafValues>
-            -2.9610499739646912e-02 1.2741160392761230e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3281 6.7472518421709538e-03</internalNodes>
-          <leafValues>
-            3.6909829825162888e-02 -1.8634669482707977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3282 -2.7132511138916016e-01</internalNodes>
-          <leafValues>
-            4.3453308939933777e-01 -9.0847145766019821e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3283 4.7428919933736324e-03</internalNodes>
-          <leafValues>
-            1.6645729541778564e-02 -9.9810160696506500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3284 9.8173134028911591e-03</internalNodes>
-          <leafValues>
-            -5.5774748325347900e-02 7.1195892989635468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3285 1.1679739691317081e-03</internalNodes>
-          <leafValues>
-            -6.7695029079914093e-02 4.1236151009798050e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3286 -3.1285739969462156e-03</internalNodes>
-          <leafValues>
-            7.9346306622028351e-02 -6.4487002789974213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3287 -2.1147250663489103e-03</internalNodes>
-          <leafValues>
-            -1.0483580082654953e-01 1.4968249946832657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3288 -1.7796000465750694e-03</internalNodes>
-          <leafValues>
-            2.8925609588623047e-01 -1.3443579897284508e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3289 -2.1853840351104736e-01</internalNodes>
-          <leafValues>
-            -5.6218802928924561e-01 2.4572419933974743e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3290 -5.4242029786109924e-02</internalNodes>
-          <leafValues>
-            -2.1208059787750244e-01 1.9283739849925041e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3291 2.2505840752273798e-03</internalNodes>
-          <leafValues>
-            8.7050450965762138e-03 -4.6989489346742630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3292 2.7368739247322083e-02</internalNodes>
-          <leafValues>
-            5.3823711350560188e-03 -7.3394852876663208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3293 -1.7120830714702606e-02</internalNodes>
-          <leafValues>
-            1.7836299538612366e-01 -7.9886056482791901e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3294 5.8321221731603146e-03</internalNodes>
-          <leafValues>
-            1.9390260800719261e-02 -2.0578180253505707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3295 -6.9258757866919041e-04</internalNodes>
-          <leafValues>
-            5.2536159753799438e-02 -3.4893590956926346e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3296 2.1873079240322113e-03</internalNodes>
-          <leafValues>
-            -3.0892930924892426e-02 1.1824580281972885e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3297 -2.6870400179177523e-03</internalNodes>
-          <leafValues>
-            -4.7888439148664474e-02 1.0966289788484573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3298 1.7761799972504377e-03</internalNodes>
-          <leafValues>
-            2.8323309496045113e-02 -1.3571000099182129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3299 2.6876769959926605e-02</internalNodes>
-          <leafValues>
-            1.0936670005321503e-02 -1.3214470446109772e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3300 -3.9743751287460327e-02</internalNodes>
-          <leafValues>
-            -2.7749490737915039e-01 1.4792799949645996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3301 5.1912020891904831e-02</internalNodes>
-          <leafValues>
-            -3.0621079728007317e-02 1.3863949477672577e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3302 -4.9659938667900860e-05</internalNodes>
-          <leafValues>
-            6.5223008394241333e-02 -6.1120528727769852e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3303 2.0899269729852676e-02</internalNodes>
-          <leafValues>
-            1.0013979859650135e-02 -3.7899270653724670e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3304 3.4640848636627197e-02</internalNodes>
-          <leafValues>
-            -2.3631630465388298e-02 1.6691960394382477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3305 2.8383019380271435e-03</internalNodes>
-          <leafValues>
-            2.2854080423712730e-02 -5.9783868491649628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3306 2.1739569492638111e-03</internalNodes>
-          <leafValues>
-            -1.8679669126868248e-02 1.9977539777755737e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3307 -1.5048719942569733e-02</internalNodes>
-          <leafValues>
-            -3.1850379705429077e-01 3.2470070291310549e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3308 -7.0679760538041592e-03</internalNodes>
-          <leafValues>
-            -3.4946501255035400e-01 1.1351609602570534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3309 2.0126479864120483e-01</internalNodes>
-          <leafValues>
-            -1.5343960374593735e-02 2.7069568634033203e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3310 -4.5434191823005676e-02</internalNodes>
-          <leafValues>
-            -1.5440119802951813e-01 2.6735989376902580e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3311 5.0224931328557432e-05</internalNodes>
-          <leafValues>
-            -4.5412018895149231e-02 5.8358419686555862e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3312 2.8120330534875393e-03</internalNodes>
-          <leafValues>
-            -3.5226300358772278e-02 1.2060999870300293e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3313 1.0989969968795776e-01</internalNodes>
-          <leafValues>
-            -8.2655288279056549e-03 2.7113300561904907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3314 3.5002671182155609e-02</internalNodes>
-          <leafValues>
-            4.1824929416179657e-02 -1.4443680644035339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3315 5.6986298412084579e-02</internalNodes>
-          <leafValues>
-            -4.4864691793918610e-02 9.4764657318592072e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3316 -1.9248030148446560e-03</internalNodes>
-          <leafValues>
-            4.3857198208570480e-02 -1.1556690186262131e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3317 3.6413230001926422e-02</internalNodes>
-          <leafValues>
-            -2.5924969464540482e-02 8.7799377739429474e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3318 4.9817138351500034e-03</internalNodes>
-          <leafValues>
-            -6.2499199062585831e-02 6.2983013689517975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3319 -1.5732439234852791e-02</internalNodes>
-          <leafValues>
-            1.0918200016021729e-01 -3.5442460328340530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3320 -3.2386161386966705e-02</internalNodes>
-          <leafValues>
-            -6.1410897970199585e-01 6.1990139074623585e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3321 1.9163029268383980e-02</internalNodes>
-          <leafValues>
-            -3.0063120648264885e-03 4.8029029369354248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3322 -6.6093212808482349e-05</internalNodes>
-          <leafValues>
-            5.7336781173944473e-02 -7.1615733206272125e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3323 1.1779610067605972e-03</internalNodes>
-          <leafValues>
-            4.7181140631437302e-02 -9.4607576727867126e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3324 -1.4855359680950642e-02</internalNodes>
-          <leafValues>
-            -1.3877260684967041e-01 3.3843901008367538e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3325 -2.3859990760684013e-02</internalNodes>
-          <leafValues>
-            1.9980570673942566e-01 -1.2243060395121574e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3326 -7.8580729663372040e-02</internalNodes>
-          <leafValues>
-            -4.9618101119995117e-01 9.5836250111460686e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3327 -2.8969749808311462e-02</internalNodes>
-          <leafValues>
-            2.0147210359573364e-01 -2.1185049787163734e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3328 4.5099250972270966e-02</internalNodes>
-          <leafValues>
-            7.2327218949794769e-03 -5.7577252388000488e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3329 3.9302468299865723e-02</internalNodes>
-          <leafValues>
-            2.5572910904884338e-02 -1.4938560128211975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3330 3.8417819887399673e-02</internalNodes>
-          <leafValues>
-            4.3327999301254749e-03 -8.4697937965393066e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3331 1.5752380713820457e-02</internalNodes>
-          <leafValues>
-            2.1558489650487900e-02 -9.4584867358207703e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3332 6.5488961990922689e-04</internalNodes>
-          <leafValues>
-            -1.1371400207281113e-01 3.4283000975847244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3333 6.0493252240121365e-03</internalNodes>
-          <leafValues>
-            -1.5399529598653316e-02 1.0828500241041183e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3334 3.8006659597158432e-02</internalNodes>
-          <leafValues>
-            8.7194433435797691e-03 -4.5662951469421387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3335 2.2284449078142643e-03</internalNodes>
-          <leafValues>
-            -5.4057799279689789e-02 2.0597549155354500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3336 -1.1698610149323940e-02</internalNodes>
-          <leafValues>
-            1.8344320356845856e-01 -2.3553410544991493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3337 -2.3577509447932243e-02</internalNodes>
-          <leafValues>
-            -3.3778700232505798e-01 4.2076371610164642e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3338 -1.7685960046947002e-03</internalNodes>
-          <leafValues>
-            -1.0340850055217743e-01 3.9750009775161743e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3339 -6.2674082815647125e-02</internalNodes>
-          <leafValues>
-            2.5634589791297913e-01 -2.6633420493453741e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3340 4.9983179196715355e-03</internalNodes>
-          <leafValues>
-            -5.9610750526189804e-02 6.8351902067661285e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3341 -1.3796079903841019e-02</internalNodes>
-          <leafValues>
-            -1.2925280630588531e-01 1.3147160410881042e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3342 7.3155229911208153e-03</internalNodes>
-          <leafValues>
-            2.3670859634876251e-02 -1.7314620316028595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3343 1.6057699918746948e-02</internalNodes>
-          <leafValues>
-            2.1099910140037537e-02 -3.6534700542688370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3344 -1.3640339672565460e-01</internalNodes>
-          <leafValues>
-            3.2520669698715210e-01 -1.2592249549925327e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3345 -4.3760128319263458e-03</internalNodes>
-          <leafValues>
-            -6.8926952779293060e-02 1.2655669823288918e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3346 -2.5193709880113602e-02</internalNodes>
-          <leafValues>
-            6.3607120513916016e-01 -6.9624311290681362e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3347 -9.9254563450813293e-02</internalNodes>
-          <leafValues>
-            -1.6383069753646851e-01 4.0242899209260941e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3348 -4.1403169743716717e-03</internalNodes>
-          <leafValues>
-            4.5324161648750305e-02 -9.0439721941947937e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3349 -9.2972591519355774e-03</internalNodes>
-          <leafValues>
-            7.3006376624107361e-02 -2.1570960059762001e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3350 -6.5849390812218189e-03</internalNodes>
-          <leafValues>
-            -1.4133420586585999e-01 3.4721940755844116e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3351 8.2593657076358795e-02</internalNodes>
-          <leafValues>
-            2.2461370099335909e-03 -3.3250170946121216e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3352 4.4785510748624802e-02</internalNodes>
-          <leafValues>
-            -1.6393229365348816e-02 3.1968909502029419e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3353 1.4941610395908356e-02</internalNodes>
-          <leafValues>
-            -1.3618029654026031e-02 9.1183677315711975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3354 -4.8578871064819396e-04</internalNodes>
-          <leafValues>
-            4.5027341693639755e-02 -9.9143527448177338e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3355 -1.0591340251266956e-03</internalNodes>
-          <leafValues>
-            4.3794080615043640e-02 -4.6322930604219437e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3356 -1.2409189715981483e-02</internalNodes>
-          <leafValues>
-            -1.1891479790210724e-01 4.1725698858499527e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3357 -2.0622629672288895e-03</internalNodes>
-          <leafValues>
-            1.3315789401531219e-01 -2.3993510752916336e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3358 8.8945101015269756e-04</internalNodes>
-          <leafValues>
-            -3.2941568642854691e-02 1.3120089471340179e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3359 -1.6302269650623202e-03</internalNodes>
-          <leafValues>
-            -5.3911749273538589e-02 1.4448829926550388e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3360 7.9654958099126816e-03</internalNodes>
-          <leafValues>
-            1.4407279901206493e-02 -2.6187309622764587e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3361 -6.1501268646679819e-05</internalNodes>
-          <leafValues>
-            3.3002119511365891e-02 -2.9767390340566635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3362 -2.0129390060901642e-01</internalNodes>
-          <leafValues>
-            -4.9312359094619751e-01 7.3236711323261261e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3363 1.2285460252314806e-03</internalNodes>
-          <leafValues>
-            3.4660179167985916e-02 -9.4074666500091553e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3364 1.0491379536688328e-02</internalNodes>
-          <leafValues>
-            -3.8984928280115128e-02 1.2683519721031189e-01</leafValues></_></weakClassifiers></_></stages>
-  <features>
-    <_>
-      <rects>
-        <_>
-          8 4 4 4 -1.</_>
-        <_>
-          8 4 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 7 -1.</_>
-        <_>
-          6 0 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 9 -1.</_>
-        <_>
-          3 8 12 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 8 -1.</_>
-        <_>
-          6 0 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 12 4 -1.</_>
-        <_>
-          3 10 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 3 8 -1.</_>
-        <_>
-          10 1 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 8 3 -1.</_>
-        <_>
-          8 1 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 3 -1.</_>
-        <_>
-          3 1 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          8 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 11 9 -1.</_>
-        <_>
-          5 9 11 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 1 -1.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 1 -1.</_>
-        <_>
-          9 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 9 7 -1.</_>
-        <_>
-          7 0 3 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 12 8 -1.</_>
-        <_>
-          3 9 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 14 -1.</_>
-        <_>
-          9 0 7 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 9 -1.</_>
-        <_>
-          3 7 12 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 6 1 -1.</_>
-        <_>
-          8 3 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 4 -1.</_>
-        <_>
-          9 2 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 5 6 -1.</_>
-        <_>
-          9 2 5 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 9 -1.</_>
-        <_>
-          7 3 4 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 4 -1.</_>
-        <_>
-          10 2 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 1 -1.</_>
-        <_>
-          7 0 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 14 9 -1.</_>
-        <_>
-          2 9 14 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 5 3 -1.</_>
-        <_>
-          9 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 2 -1.</_>
-        <_>
-          4 0 5 1 2.</_>
-        <_>
-          9 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 14 -1.</_>
-        <_>
-          9 0 6 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 3 -1.</_>
-        <_>
-          5 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 14 -1.</_>
-        <_>
-          14 7 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 2 -1.</_>
-        <_>
-          4 1 5 1 2.</_>
-        <_>
-          9 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 14 4 -1.</_>
-        <_>
-          2 11 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 14 9 -1.</_>
-        <_>
-          2 7 14 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 12 -1.</_>
-        <_>
-          14 6 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 12 -1.</_>
-        <_>
-          0 6 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 3 3 -1.</_>
-        <_>
-          11 2 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 4 2 -1.</_>
-        <_>
-          6 3 2 1 2.</_>
-        <_>
-          8 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 4 -1.</_>
-        <_>
-          8 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 3 -1.</_>
-        <_>
-          7 2 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 3 -1.</_>
-        <_>
-          4 2 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 8 14 -1.</_>
-        <_>
-          10 8 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 8 6 -1.</_>
-        <_>
-          5 8 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 12 -1.</_>
-        <_>
-          11 0 4 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 10 -1.</_>
-        <_>
-          8 0 4 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 8 -1.</_>
-        <_>
-          9 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 2 -1.</_>
-        <_>
-          9 3 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 4 -1.</_>
-        <_>
-          10 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 2 -1.</_>
-        <_>
-          4 2 5 1 2.</_>
-        <_>
-          9 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 4 -1.</_>
-        <_>
-          9 0 9 2 2.</_>
-        <_>
-          0 2 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 8 14 -1.</_>
-        <_>
-          3 0 4 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 6 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 9 -1.</_>
-        <_>
-          4 7 10 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 8 3 -1.</_>
-        <_>
-          1 1 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 4 -1.</_>
-        <_>
-          8 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 2 -1.</_>
-        <_>
-          6 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          8 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 2 -1.</_>
-        <_>
-          7 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 14 9 -1.</_>
-        <_>
-          2 9 14 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 7 -1.</_>
-        <_>
-          9 0 5 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          8 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 7 -1.</_>
-        <_>
-          7 0 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          10 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 3 -1.</_>
-        <_>
-          8 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 9 16 6 -1.</_>
-        <_>
-          1 11 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 14 4 -1.</_>
-        <_>
-          1 11 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 8 4 -1.</_>
-        <_>
-          5 13 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 2 -1.</_>
-        <_>
-          8 0 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          8 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 16 2 -1.</_>
-        <_>
-          4 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          9 0 9 4 2.</_>
-        <_>
-          0 4 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 3 -1.</_>
-        <_>
-          10 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 7 -1.</_>
-        <_>
-          10 0 3 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 7 6 -1.</_>
-        <_>
-          8 0 7 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 6 4 -1.</_>
-        <_>
-          12 9 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 6 4 -1.</_>
-        <_>
-          3 9 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 1 -1.</_>
-        <_>
-          7 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 8 3 -1.</_>
-        <_>
-          4 2 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 6 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          6 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 4 -1.</_>
-        <_>
-          12 6 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 3 -1.</_>
-        <_>
-          8 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 4 -1.</_>
-        <_>
-          12 6 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 4 -1.</_>
-        <_>
-          6 6 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          10 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          7 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 1 -1.</_>
-        <_>
-          6 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          9 0 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 10 9 -1.</_>
-        <_>
-          5 9 10 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 2 -1.</_>
-        <_>
-          6 9 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 5 -1.</_>
-        <_>
-          16 10 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 5 -1.</_>
-        <_>
-          1 10 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 4 -1.</_>
-        <_>
-          1 13 16 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 3 -1.</_>
-        <_>
-          0 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 12 8 -1.</_>
-        <_>
-          3 9 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 14 -1.</_>
-        <_>
-          0 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 11 3 1 -1.</_>
-        <_>
-          16 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 8 1 -1.</_>
-        <_>
-          7 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 4 -1.</_>
-        <_>
-          3 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 12 4 -1.</_>
-        <_>
-          7 1 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 3 -1.</_>
-        <_>
-          4 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 12 -1.</_>
-        <_>
-          12 0 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 5 -1.</_>
-        <_>
-          4 0 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 7 -1.</_>
-        <_>
-          8 0 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 7 -1.</_>
-        <_>
-          4 0 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 3 -1.</_>
-        <_>
-          8 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 1 -1.</_>
-        <_>
-          10 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 6 16 8 -1.</_>
-        <_>
-          1 8 16 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 8 -1.</_>
-        <_>
-          3 7 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 4 -1.</_>
-        <_>
-          3 6 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 8 11 -1.</_>
-        <_>
-          3 0 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 3 1 -1.</_>
-        <_>
-          12 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 1 3 -1.</_>
-        <_>
-          6 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 12 12 2 -1.</_>
-        <_>
-          5 12 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 5 -1.</_>
-        <_>
-          6 0 4 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 17 2 -1.</_>
-        <_>
-          1 3 17 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 4 -1.</_>
-        <_>
-          8 4 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 11 -1.</_>
-        <_>
-          10 1 1 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 9 -1.</_>
-        <_>
-          3 4 12 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 2 -1.</_>
-        <_>
-          9 0 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 4 -1.</_>
-        <_>
-          8 0 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 8 7 -1.</_>
-        <_>
-          10 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 8 5 -1.</_>
-        <_>
-          4 9 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 1 -1.</_>
-        <_>
-          7 0 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          5 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 2 -1.</_>
-        <_>
-          8 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 14 6 -1.</_>
-        <_>
-          2 8 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 12 4 -1.</_>
-        <_>
-          3 11 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 3 14 -1.</_>
-        <_>
-          0 8 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 2 -1.</_>
-        <_>
-          9 0 7 1 2.</_>
-        <_>
-          2 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 4 -1.</_>
-        <_>
-          9 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 6 -1.</_>
-        <_>
-          9 2 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 14 14 -1.</_>
-        <_>
-          9 1 7 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 9 -1.</_>
-        <_>
-          6 4 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 9 2 -1.</_>
-        <_>
-          12 4 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 6 16 9 -1.</_>
-        <_>
-          1 9 16 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 1 -1.</_>
-        <_>
-          10 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 6 -1.</_>
-        <_>
-          5 6 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 14 6 -1.</_>
-        <_>
-          2 7 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          9 0 9 5 2.</_>
-        <_>
-          0 5 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 2 -1.</_>
-        <_>
-          0 4 9 1 2.</_>
-        <_>
-          9 5 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 10 -1.</_>
-        <_>
-          16 0 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 4 -1.</_>
-        <_>
-          5 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 3 -1.</_>
-        <_>
-          9 0 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 9 9 -1.</_>
-        <_>
-          6 0 3 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 1 -1.</_>
-        <_>
-          10 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 8 -1.</_>
-        <_>
-          7 0 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 12 2 -1.</_>
-        <_>
-          3 13 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 5 -1.</_>
-        <_>
-          8 0 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 12 -1.</_>
-        <_>
-          12 0 3 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 3 -1.</_>
-        <_>
-          6 0 6 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 15 6 -1.</_>
-        <_>
-          2 11 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 4 2 -1.</_>
-        <_>
-          6 7 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 2 -1.</_>
-        <_>
-          9 1 6 1 2.</_>
-        <_>
-          3 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 3 3 -1.</_>
-        <_>
-          7 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 18 4 -1.</_>
-        <_>
-          0 7 9 2 2.</_>
-        <_>
-          9 9 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 1 -1.</_>
-        <_>
-          10 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 3 -1.</_>
-        <_>
-          8 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 14 -1.</_>
-        <_>
-          9 1 9 7 2.</_>
-        <_>
-          0 8 9 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 3 -1.</_>
-        <_>
-          3 0 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 3 -1.</_>
-        <_>
-          5 0 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 1 2 -1.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 1 12 -1.</_>
-        <_>
-          17 2 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          6 0 6 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 1 12 -1.</_>
-        <_>
-          17 2 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 14 8 -1.</_>
-        <_>
-          2 3 14 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 14 6 -1.</_>
-        <_>
-          2 7 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 12 1 -1.</_>
-        <_>
-          1 2 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 2 -1.</_>
-        <_>
-          9 5 2 1 2.</_>
-        <_>
-          7 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 16 6 -1.</_>
-        <_>
-          1 6 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 13 12 -1.</_>
-        <_>
-          5 3 13 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 8 4 -1.</_>
-        <_>
-          5 8 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 10 -1.</_>
-        <_>
-          9 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 9 12 -1.</_>
-        <_>
-          4 0 3 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 14 10 -1.</_>
-        <_>
-          11 4 7 5 2.</_>
-        <_>
-          4 9 7 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 12 10 -1.</_>
-        <_>
-          0 4 6 5 2.</_>
-        <_>
-          6 9 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          9 0 9 4 2.</_>
-        <_>
-          0 4 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 15 2 -1.</_>
-        <_>
-          1 12 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 14 2 -1.</_>
-        <_>
-          3 1 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 7 4 -1.</_>
-        <_>
-          3 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 6 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 13 12 -1.</_>
-        <_>
-          2 5 13 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          6 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 7 -1.</_>
-        <_>
-          9 0 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          7 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 14 6 -1.</_>
-        <_>
-          2 9 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 7 10 -1.</_>
-        <_>
-          11 6 7 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 3 -1.</_>
-        <_>
-          9 0 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 2 -1.</_>
-        <_>
-          9 1 9 1 2.</_>
-        <_>
-          0 2 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 2 -1.</_>
-        <_>
-          1 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 7 -1.</_>
-        <_>
-          14 4 1 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 2 -1.</_>
-        <_>
-          1 11 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 2 6 -1.</_>
-        <_>
-          13 6 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 8 4 -1.</_>
-        <_>
-          8 9 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 14 4 -1.</_>
-        <_>
-          2 10 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 9 -1.</_>
-        <_>
-          3 3 12 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 12 -1.</_>
-        <_>
-          14 7 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 2 -1.</_>
-        <_>
-          6 0 3 1 2.</_>
-        <_>
-          9 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 2 -1.</_>
-        <_>
-          10 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 6 -1.</_>
-        <_>
-          7 0 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 4 6 -1.</_>
-        <_>
-          11 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          0 0 9 4 2.</_>
-        <_>
-          9 4 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 10 -1.</_>
-        <_>
-          14 6 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 10 -1.</_>
-        <_>
-          0 6 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 2 -1.</_>
-        <_>
-          10 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 2 2 -1.</_>
-        <_>
-          8 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 1 -1.</_>
-        <_>
-          10 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 3 -1.</_>
-        <_>
-          8 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 12 -1.</_>
-        <_>
-          3 6 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 4 -1.</_>
-        <_>
-          3 7 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 14 -1.</_>
-        <_>
-          12 8 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 14 2 -1.</_>
-        <_>
-          2 14 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 6 -1.</_>
-        <_>
-          0 6 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 4 -1.</_>
-        <_>
-          0 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 10 -1.</_>
-        <_>
-          10 0 4 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 10 -1.</_>
-        <_>
-          4 0 4 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 12 2 -1.</_>
-        <_>
-          3 14 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 4 6 -1.</_>
-        <_>
-          3 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 11 4 4 -1.</_>
-        <_>
-          14 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 5 14 -1.</_>
-        <_>
-          0 8 5 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 1 -1.</_>
-        <_>
-          10 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 2 1 -1.</_>
-        <_>
-          7 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 17 4 -1.</_>
-        <_>
-          1 12 17 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 3 -1.</_>
-        <_>
-          8 1 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          9 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 4 4 -1.</_>
-        <_>
-          2 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 10 8 -1.</_>
-        <_>
-          8 3 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 10 8 -1.</_>
-        <_>
-          5 3 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 4 -1.</_>
-        <_>
-          12 7 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 6 -1.</_>
-        <_>
-          0 9 9 3 2.</_>
-        <_>
-          9 12 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 6 4 -1.</_>
-        <_>
-          13 7 3 2 2.</_>
-        <_>
-          10 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 2 -1.</_>
-        <_>
-          8 0 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 16 10 -1.</_>
-        <_>
-          1 5 8 5 2.</_>
-        <_>
-          9 10 8 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 4 -1.</_>
-        <_>
-          12 6 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 4 2 -1.</_>
-        <_>
-          6 6 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 6 4 -1.</_>
-        <_>
-          13 8 3 2 2.</_>
-        <_>
-          10 10 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          10 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 10 1 3 -1.</_>
-        <_>
-          17 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 11 2 -1.</_>
-        <_>
-          3 0 11 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 6 10 8 -1.</_>
-        <_>
-          13 6 5 4 2.</_>
-        <_>
-          8 10 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 14 2 -1.</_>
-        <_>
-          2 13 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 1 3 -1.</_>
-        <_>
-          17 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 8 3 -1.</_>
-        <_>
-          9 6 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 9 3 6 -1.</_>
-        <_>
-          13 11 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 3 6 -1.</_>
-        <_>
-          2 11 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 1 3 -1.</_>
-        <_>
-          17 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 1 3 -1.</_>
-        <_>
-          0 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 6 6 -1.</_>
-        <_>
-          11 1 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 1 -1.</_>
-        <_>
-          4 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          14 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 8 4 -1.</_>
-        <_>
-          1 7 4 2 2.</_>
-        <_>
-          5 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 4 2 -1.</_>
-        <_>
-          8 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 6 -1.</_>
-        <_>
-          9 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 14 8 -1.</_>
-        <_>
-          2 8 14 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 3 -1.</_>
-        <_>
-          7 0 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 3 6 -1.</_>
-        <_>
-          8 3 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 4 -1.</_>
-        <_>
-          9 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 6 7 -1.</_>
-        <_>
-          3 8 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 2 -1.</_>
-        <_>
-          9 1 5 1 2.</_>
-        <_>
-          4 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 6 -1.</_>
-        <_>
-          3 3 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 12 2 -1.</_>
-        <_>
-          3 10 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 16 2 -1.</_>
-        <_>
-          1 10 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 3 -1.</_>
-        <_>
-          10 4 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 2 -1.</_>
-        <_>
-          5 3 4 1 2.</_>
-        <_>
-          9 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 12 -1.</_>
-        <_>
-          9 0 7 6 2.</_>
-        <_>
-          2 6 7 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 3 -1.</_>
-        <_>
-          6 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 1 -1.</_>
-        <_>
-          15 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 1 -1.</_>
-        <_>
-          2 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 4 -1.</_>
-        <_>
-          14 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 4 5 -1.</_>
-        <_>
-          8 5 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 4 -1.</_>
-        <_>
-          5 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 3 -1.</_>
-        <_>
-          2 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          8 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 7 -1.</_>
-        <_>
-          9 0 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 1 8 -1.</_>
-        <_>
-          9 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 9 -1.</_>
-        <_>
-          7 6 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 16 6 -1.</_>
-        <_>
-          1 6 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 3 2 -1.</_>
-        <_>
-          6 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 2 -1.</_>
-        <_>
-          7 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 14 10 -1.</_>
-        <_>
-          1 5 7 5 2.</_>
-        <_>
-          8 10 7 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 3 6 -1.</_>
-        <_>
-          10 11 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 10 -1.</_>
-        <_>
-          0 5 9 5 2.</_>
-        <_>
-          9 10 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 2 -1.</_>
-        <_>
-          8 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 2 5 -1.</_>
-        <_>
-          6 1 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 7 -1.</_>
-        <_>
-          8 0 4 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 4 -1.</_>
-        <_>
-          4 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 14 -1.</_>
-        <_>
-          12 7 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 5 -1.</_>
-        <_>
-          5 0 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 14 -1.</_>
-        <_>
-          12 7 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 14 -1.</_>
-        <_>
-          0 7 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 3 6 -1.</_>
-        <_>
-          10 11 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 3 6 -1.</_>
-        <_>
-          5 11 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 6 2 -1.</_>
-        <_>
-          7 14 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 3 -1.</_>
-        <_>
-          7 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 1 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 11 1 3 -1.</_>
-        <_>
-          2 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 4 -1.</_>
-        <_>
-          11 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 14 9 -1.</_>
-        <_>
-          2 8 14 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 4 -1.</_>
-        <_>
-          14 10 4 2 2.</_>
-        <_>
-          10 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 4 3 -1.</_>
-        <_>
-          1 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 2 -1.</_>
-        <_>
-          8 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 2 -1.</_>
-        <_>
-          0 0 9 1 2.</_>
-        <_>
-          9 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 12 -1.</_>
-        <_>
-          7 1 2 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 4 -1.</_>
-        <_>
-          0 12 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 4 -1.</_>
-        <_>
-          12 7 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 6 -1.</_>
-        <_>
-          0 10 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 6 -1.</_>
-        <_>
-          11 0 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 4 2 -1.</_>
-        <_>
-          6 7 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          9 6 3 1 2.</_>
-        <_>
-          6 7 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 5 2 -1.</_>
-        <_>
-          6 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 4 -1.</_>
-        <_>
-          11 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 1 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 6 2 -1.</_>
-        <_>
-          11 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 2 6 -1.</_>
-        <_>
-          8 2 1 3 2.</_>
-        <_>
-          9 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 3 -1.</_>
-        <_>
-          16 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 10 4 -1.</_>
-        <_>
-          6 1 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 4 -1.</_>
-        <_>
-          14 10 4 2 2.</_>
-        <_>
-          10 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 4 -1.</_>
-        <_>
-          0 10 4 2 2.</_>
-        <_>
-          4 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 4 -1.</_>
-        <_>
-          14 7 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 3 -1.</_>
-        <_>
-          0 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 4 -1.</_>
-        <_>
-          14 7 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 4 3 -1.</_>
-        <_>
-          4 7 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 8 3 -1.</_>
-        <_>
-          10 3 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 3 -1.</_>
-        <_>
-          4 3 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 14 2 -1.</_>
-        <_>
-          4 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 12 4 -1.</_>
-        <_>
-          3 1 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 10 -1.</_>
-        <_>
-          13 6 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 14 2 -1.</_>
-        <_>
-          7 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 12 12 3 -1.</_>
-        <_>
-          8 12 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          0 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 2 -1.</_>
-        <_>
-          10 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 2 2 -1.</_>
-        <_>
-          7 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 1 -1.</_>
-        <_>
-          16 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 3 -1.</_>
-        <_>
-          4 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 4 -1.</_>
-        <_>
-          3 7 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 1 3 -1.</_>
-        <_>
-          2 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 6 -1.</_>
-        <_>
-          0 11 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 2 -1.</_>
-        <_>
-          0 4 9 1 2.</_>
-        <_>
-          9 5 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 3 -1.</_>
-        <_>
-          14 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 14 6 -1.</_>
-        <_>
-          2 4 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 3 -1.</_>
-        <_>
-          8 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 6 10 -1.</_>
-        <_>
-          0 6 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 2 -1.</_>
-        <_>
-          9 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 6 -1.</_>
-        <_>
-          0 0 9 3 2.</_>
-        <_>
-          9 3 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 6 -1.</_>
-        <_>
-          4 5 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 9 3 -1.</_>
-        <_>
-          3 5 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 1 -1.</_>
-        <_>
-          9 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 1 -1.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 4 -1.</_>
-        <_>
-          9 2 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 3 3 -1.</_>
-        <_>
-          8 3 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 6 -1.</_>
-        <_>
-          5 6 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 14 8 -1.</_>
-        <_>
-          4 4 14 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 4 -1.</_>
-        <_>
-          9 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 6 7 -1.</_>
-        <_>
-          12 7 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 8 4 -1.</_>
-        <_>
-          2 11 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 1 6 -1.</_>
-        <_>
-          13 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 1 6 -1.</_>
-        <_>
-          4 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 4 -1.</_>
-        <_>
-          8 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 1 -1.</_>
-        <_>
-          9 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 1 -1.</_>
-        <_>
-          9 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 14 8 -1.</_>
-        <_>
-          2 9 14 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 3 -1.</_>
-        <_>
-          1 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 8 -1.</_>
-        <_>
-          10 4 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 2 -1.</_>
-        <_>
-          6 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 4 10 -1.</_>
-        <_>
-          14 10 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 10 -1.</_>
-        <_>
-          0 10 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 6 6 -1.</_>
-        <_>
-          12 8 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 6 6 -1.</_>
-        <_>
-          3 8 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 6 -1.</_>
-        <_>
-          10 3 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 6 -1.</_>
-        <_>
-          2 3 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 4 -1.</_>
-        <_>
-          9 0 9 2 2.</_>
-        <_>
-          0 2 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 14 2 -1.</_>
-        <_>
-          2 11 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 6 -1.</_>
-        <_>
-          9 7 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 4 16 1 -1.</_>
-        <_>
-          5 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 4 4 -1.</_>
-        <_>
-          10 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 4 4 -1.</_>
-        <_>
-          4 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 8 -1.</_>
-        <_>
-          9 6 6 4 2.</_>
-        <_>
-          3 10 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 9 3 -1.</_>
-        <_>
-          6 12 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 6 4 -1.</_>
-        <_>
-          13 6 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 12 -1.</_>
-        <_>
-          0 6 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 9 -1.</_>
-        <_>
-          4 0 5 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 8 5 -1.</_>
-        <_>
-          6 9 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 5 -1.</_>
-        <_>
-          6 4 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 4 -1.</_>
-        <_>
-          8 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 18 2 -1.</_>
-        <_>
-          0 14 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 2 -1.</_>
-        <_>
-          6 9 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 2 -1.</_>
-        <_>
-          4 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 3 -1.</_>
-        <_>
-          14 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 2 -1.</_>
-        <_>
-          1 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 6 4 -1.</_>
-        <_>
-          13 6 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 1 -1.</_>
-        <_>
-          5 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 16 11 -1.</_>
-        <_>
-          5 1 8 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 8 -1.</_>
-        <_>
-          9 3 5 4 2.</_>
-        <_>
-          4 7 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 2 -1.</_>
-        <_>
-          5 8 1 1 2.</_>
-        <_>
-          6 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 3 -1.</_>
-        <_>
-          13 9 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 5 16 6 -1.</_>
-        <_>
-          1 7 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 6 -1.</_>
-        <_>
-          0 7 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 3 -1.</_>
-        <_>
-          0 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 3 -1.</_>
-        <_>
-          13 9 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 1 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 3 -1.</_>
-        <_>
-          13 9 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 3 -1.</_>
-        <_>
-          5 9 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 13 1 2 -1.</_>
-        <_>
-          11 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 16 2 -1.</_>
-        <_>
-          1 13 8 1 2.</_>
-        <_>
-          9 14 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 1 -1.</_>
-        <_>
-          16 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 1 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 2 2 -1.</_>
-        <_>
-          13 9 1 1 2.</_>
-        <_>
-          12 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 2 2 -1.</_>
-        <_>
-          4 9 1 1 2.</_>
-        <_>
-          5 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 2 1 -1.</_>
-        <_>
-          11 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 9 -1.</_>
-        <_>
-          7 0 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 2 1 -1.</_>
-        <_>
-          11 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 1 -1.</_>
-        <_>
-          6 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 3 -1.</_>
-        <_>
-          8 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 8 6 -1.</_>
-        <_>
-          8 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 4 10 -1.</_>
-        <_>
-          8 1 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 1 -1.</_>
-        <_>
-          10 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 10 -1.</_>
-        <_>
-          9 5 9 5 2.</_>
-        <_>
-          0 10 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 3 -1.</_>
-        <_>
-          4 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 4 1 2 -1.</_>
-        <_>
-          17 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 10 1 -1.</_>
-        <_>
-          5 6 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          7 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 6 5 -1.</_>
-        <_>
-          5 5 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 2 -1.</_>
-        <_>
-          17 2 1 1 2.</_>
-        <_>
-          16 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 2 -1.</_>
-        <_>
-          0 2 1 1 2.</_>
-        <_>
-          1 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 2 -1.</_>
-        <_>
-          17 2 1 1 2.</_>
-        <_>
-          16 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 4 -1.</_>
-        <_>
-          7 3 2 2 2.</_>
-        <_>
-          9 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 8 2 -1.</_>
-        <_>
-          5 7 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 5 4 -1.</_>
-        <_>
-          6 5 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          8 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          5 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 18 3 -1.</_>
-        <_>
-          0 13 18 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 6 -1.</_>
-        <_>
-          8 4 1 3 2.</_>
-        <_>
-          9 7 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 9 4 -1.</_>
-        <_>
-          8 0 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 15 3 -1.</_>
-        <_>
-          1 13 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 3 -1.</_>
-        <_>
-          17 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 3 1 -1.</_>
-        <_>
-          2 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 6 1 -1.</_>
-        <_>
-          12 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 1 6 -1.</_>
-        <_>
-          6 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 6 -1.</_>
-        <_>
-          8 7 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 16 3 -1.</_>
-        <_>
-          1 9 16 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 2 -1.</_>
-        <_>
-          9 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 10 4 -1.</_>
-        <_>
-          5 0 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 2 -1.</_>
-        <_>
-          17 2 1 1 2.</_>
-        <_>
-          16 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 2 -1.</_>
-        <_>
-          0 2 1 1 2.</_>
-        <_>
-          1 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 4 -1.</_>
-        <_>
-          9 1 2 2 2.</_>
-        <_>
-          7 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 4 6 -1.</_>
-        <_>
-          4 11 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 12 9 2 -1.</_>
-        <_>
-          5 13 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 10 2 -1.</_>
-        <_>
-          2 1 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 3 -1.</_>
-        <_>
-          0 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 2 -1.</_>
-        <_>
-          0 9 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 4 -1.</_>
-        <_>
-          0 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 3 -1.</_>
-        <_>
-          10 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 9 7 -1.</_>
-        <_>
-          11 7 3 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 12 4 -1.</_>
-        <_>
-          3 8 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 2 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 7 2 -1.</_>
-        <_>
-          6 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 15 4 -1.</_>
-        <_>
-          1 12 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          9 0 9 4 2.</_>
-        <_>
-          0 4 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 12 -1.</_>
-        <_>
-          8 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 2 2 -1.</_>
-        <_>
-          12 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 3 -1.</_>
-        <_>
-          8 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 1 -1.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 10 -1.</_>
-        <_>
-          0 6 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 2 -1.</_>
-        <_>
-          4 1 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 2 -1.</_>
-        <_>
-          16 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 4 -1.</_>
-        <_>
-          5 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 1 -1.</_>
-        <_>
-          10 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 3 3 -1.</_>
-        <_>
-          4 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 2 -1.</_>
-        <_>
-          16 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 2 -1.</_>
-        <_>
-          9 0 9 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 4 2 -1.</_>
-        <_>
-          8 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 10 -1.</_>
-        <_>
-          9 5 9 5 2.</_>
-        <_>
-          0 10 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 6 -1.</_>
-        <_>
-          0 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 3 -1.</_>
-        <_>
-          15 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 1 -1.</_>
-        <_>
-          9 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 8 -1.</_>
-        <_>
-          8 2 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 3 -1.</_>
-        <_>
-          10 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 3 -1.</_>
-        <_>
-          15 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 8 8 2 -1.</_>
-        <_>
-          5 9 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 3 2 -1.</_>
-        <_>
-          4 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 3 2 -1.</_>
-        <_>
-          10 3 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 8 2 -1.</_>
-        <_>
-          2 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 3 -1.</_>
-        <_>
-          15 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 3 2 -1.</_>
-        <_>
-          3 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 4 -1.</_>
-        <_>
-          17 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 4 -1.</_>
-        <_>
-          0 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 2 -1.</_>
-        <_>
-          9 0 6 1 2.</_>
-        <_>
-          3 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 8 3 -1.</_>
-        <_>
-          9 1 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 6 -1.</_>
-        <_>
-          8 0 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 2 -1.</_>
-        <_>
-          8 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 6 2 -1.</_>
-        <_>
-          11 8 3 1 2.</_>
-        <_>
-          8 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 12 -1.</_>
-        <_>
-          0 9 18 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 3 6 -1.</_>
-        <_>
-          14 10 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 14 4 -1.</_>
-        <_>
-          2 10 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 3 1 -1.</_>
-        <_>
-          14 10 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 15 -1.</_>
-        <_>
-          9 0 5 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 1 -1.</_>
-        <_>
-          7 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 3 2 -1.</_>
-        <_>
-          10 3 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 2 -1.</_>
-        <_>
-          5 3 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 4 -1.</_>
-        <_>
-          6 6 3 2 2.</_>
-        <_>
-          9 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 4 3 -1.</_>
-        <_>
-          11 8 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 4 -1.</_>
-        <_>
-          7 8 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 4 1 -1.</_>
-        <_>
-          11 9 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 3 3 -1.</_>
-        <_>
-          6 8 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 13 6 2 -1.</_>
-        <_>
-          13 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 14 2 -1.</_>
-        <_>
-          9 1 7 1 2.</_>
-        <_>
-          2 2 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 1 -1.</_>
-        <_>
-          10 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 8 -1.</_>
-        <_>
-          7 5 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 7 1 4 -1.</_>
-        <_>
-          5 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 6 2 -1.</_>
-        <_>
-          13 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 1 3 -1.</_>
-        <_>
-          4 10 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 13 6 2 -1.</_>
-        <_>
-          13 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 1 2 -1.</_>
-        <_>
-          4 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 8 -1.</_>
-        <_>
-          7 5 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 2 -1.</_>
-        <_>
-          11 5 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 2 -1.</_>
-        <_>
-          7 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 3 -1.</_>
-        <_>
-          8 8 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 8 -1.</_>
-        <_>
-          7 0 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          6 0 6 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 9 -1.</_>
-        <_>
-          14 0 2 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 9 4 -1.</_>
-        <_>
-          4 0 9 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 13 13 2 -1.</_>
-        <_>
-          3 14 13 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 16 2 -1.</_>
-        <_>
-          1 14 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 6 6 -1.</_>
-        <_>
-          13 11 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 6 6 -1.</_>
-        <_>
-          3 11 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 6 2 -1.</_>
-        <_>
-          13 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 6 2 -1.</_>
-        <_>
-          3 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 5 2 -1.</_>
-        <_>
-          11 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_>
-        <_>
-          9 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 1 3 -1.</_>
-        <_>
-          6 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 8 -1.</_>
-        <_>
-          14 0 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 4 -1.</_>
-        <_>
-          1 11 8 2 2.</_>
-        <_>
-          9 13 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 8 -1.</_>
-        <_>
-          14 0 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          4 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 2 3 13 -1.</_>
-        <_>
-          13 2 1 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 15 -1.</_>
-        <_>
-          4 0 1 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 14 -1.</_>
-        <_>
-          17 8 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 5 2 -1.</_>
-        <_>
-          10 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 5 2 -1.</_>
-        <_>
-          3 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 10 -1.</_>
-        <_>
-          9 5 9 5 2.</_>
-        <_>
-          0 10 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 5 6 -1.</_>
-        <_>
-          6 5 5 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 6 -1.</_>
-        <_>
-          12 6 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 1 8 -1.</_>
-        <_>
-          8 6 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 16 6 -1.</_>
-        <_>
-          1 9 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 6 -1.</_>
-        <_>
-          5 6 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 2 -1.</_>
-        <_>
-          16 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 8 16 4 -1.</_>
-        <_>
-          1 8 8 2 2.</_>
-        <_>
-          9 10 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 17 4 -1.</_>
-        <_>
-          1 12 17 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 6 2 -1.</_>
-        <_>
-          0 13 3 1 2.</_>
-        <_>
-          3 14 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 4 -1.</_>
-        <_>
-          12 6 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 8 -1.</_>
-        <_>
-          3 0 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 6 -1.</_>
-        <_>
-          6 4 6 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 4 1 -1.</_>
-        <_>
-          6 6 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 10 -1.</_>
-        <_>
-          10 0 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 2 -1.</_>
-        <_>
-          6 9 1 1 2.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 4 -1.</_>
-        <_>
-          17 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 2 -1.</_>
-        <_>
-          5 8 1 1 2.</_>
-        <_>
-          6 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 4 -1.</_>
-        <_>
-          17 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 1 3 -1.</_>
-        <_>
-          2 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 2 -1.</_>
-        <_>
-          16 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 4 -1.</_>
-        <_>
-          0 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 3 3 -1.</_>
-        <_>
-          12 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          9 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 15 4 -1.</_>
-        <_>
-          1 7 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 8 -1.</_>
-        <_>
-          9 6 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          8 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 2 -1.</_>
-        <_>
-          9 3 5 1 2.</_>
-        <_>
-          4 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 11 -1.</_>
-        <_>
-          6 0 2 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 12 4 -1.</_>
-        <_>
-          3 12 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 12 6 -1.</_>
-        <_>
-          5 9 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 4 -1.</_>
-        <_>
-          3 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 3 3 -1.</_>
-        <_>
-          12 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 3 3 -1.</_>
-        <_>
-          3 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 15 -1.</_>
-        <_>
-          5 5 12 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 2 -1.</_>
-        <_>
-          6 9 1 1 2.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 2 2 -1.</_>
-        <_>
-          13 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 15 8 -1.</_>
-        <_>
-          1 5 15 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 2 3 -1.</_>
-        <_>
-          9 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 4 3 -1.</_>
-        <_>
-          5 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 4 4 -1.</_>
-        <_>
-          7 2 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 2 -1.</_>
-        <_>
-          8 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 8 2 -1.</_>
-        <_>
-          4 3 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 16 10 -1.</_>
-        <_>
-          2 3 8 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 12 8 -1.</_>
-        <_>
-          2 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 2 -1.</_>
-        <_>
-          14 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 9 -1.</_>
-        <_>
-          0 7 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 8 -1.</_>
-        <_>
-          4 7 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 4 3 -1.</_>
-        <_>
-          2 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 4 -1.</_>
-        <_>
-          8 1 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 1 4 -1.</_>
-        <_>
-          6 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 1 -1.</_>
-        <_>
-          6 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 14 4 -1.</_>
-        <_>
-          2 10 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 2 -1.</_>
-        <_>
-          1 11 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 4 2 -1.</_>
-        <_>
-          2 9 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 8 2 -1.</_>
-        <_>
-          11 7 4 1 2.</_>
-        <_>
-          7 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          0 0 9 5 2.</_>
-        <_>
-          9 5 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 10 -1.</_>
-        <_>
-          11 0 5 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          6 7 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 6 -1.</_>
-        <_>
-          7 6 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 14 -1.</_>
-        <_>
-          0 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 2 1 -1.</_>
-        <_>
-          12 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 11 1 2 -1.</_>
-        <_>
-          6 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 6 -1.</_>
-        <_>
-          3 6 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 8 -1.</_>
-        <_>
-          2 4 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 10 -1.</_>
-        <_>
-          15 0 1 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 2 -1.</_>
-        <_>
-          3 0 10 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 10 -1.</_>
-        <_>
-          11 1 4 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 10 4 -1.</_>
-        <_>
-          7 1 5 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 9 7 -1.</_>
-        <_>
-          8 0 3 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 4 -1.</_>
-        <_>
-          8 2 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 8 -1.</_>
-        <_>
-          3 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 2 -1.</_>
-        <_>
-          0 10 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 4 -1.</_>
-        <_>
-          12 7 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 5 2 -1.</_>
-        <_>
-          6 7 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 13 4 2 -1.</_>
-        <_>
-          12 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 2 -1.</_>
-        <_>
-          4 0 5 1 2.</_>
-        <_>
-          9 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          9 0 4 1 2.</_>
-        <_>
-          5 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 6 6 -1.</_>
-        <_>
-          3 9 3 3 2.</_>
-        <_>
-          6 12 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 9 2 -1.</_>
-        <_>
-          9 13 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 3 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 3 2 -1.</_>
-        <_>
-          15 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 6 -1.</_>
-        <_>
-          5 3 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 8 -1.</_>
-        <_>
-          8 0 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 8 -1.</_>
-        <_>
-          6 0 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 5 -1.</_>
-        <_>
-          8 0 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 5 -1.</_>
-        <_>
-          4 0 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 14 -1.</_>
-        <_>
-          9 0 2 7 2.</_>
-        <_>
-          7 7 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 2 -1.</_>
-        <_>
-          9 0 9 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 4 -1.</_>
-        <_>
-          9 6 9 2 2.</_>
-        <_>
-          0 8 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 2 -1.</_>
-        <_>
-          10 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 6 -1.</_>
-        <_>
-          7 5 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 4 -1.</_>
-        <_>
-          5 2 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 2 -1.</_>
-        <_>
-          17 2 1 1 2.</_>
-        <_>
-          16 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 2 -1.</_>
-        <_>
-          0 2 1 1 2.</_>
-        <_>
-          1 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 1 2 -1.</_>
-        <_>
-          17 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 3 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 2 1 4 -1.</_>
-        <_>
-          1 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 6 -1.</_>
-        <_>
-          9 0 8 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 3 4 -1.</_>
-        <_>
-          13 7 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 1 3 -1.</_>
-        <_>
-          2 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 4 -1.</_>
-        <_>
-          12 8 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 3 -1.</_>
-        <_>
-          6 8 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 2 -1.</_>
-        <_>
-          8 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 8 2 -1.</_>
-        <_>
-          3 8 4 1 2.</_>
-        <_>
-          7 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 4 6 -1.</_>
-        <_>
-          11 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 14 4 -1.</_>
-        <_>
-          8 11 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 6 2 -1.</_>
-        <_>
-          11 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 6 2 -1.</_>
-        <_>
-          5 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 2 -1.</_>
-        <_>
-          1 12 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 4 -1.</_>
-        <_>
-          1 12 16 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 13 6 2 -1.</_>
-        <_>
-          14 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 14 12 1 -1.</_>
-        <_>
-          5 14 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          6 6 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 4 3 -1.</_>
-        <_>
-          8 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 1 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 1 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 3 -1.</_>
-        <_>
-          0 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 16 4 -1.</_>
-        <_>
-          1 7 16 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 2 2 -1.</_>
-        <_>
-          5 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 11 -1.</_>
-        <_>
-          7 0 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 3 -1.</_>
-        <_>
-          7 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 14 -1.</_>
-        <_>
-          14 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          7 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 16 7 -1.</_>
-        <_>
-          5 3 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 9 3 -1.</_>
-        <_>
-          4 2 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 8 13 -1.</_>
-        <_>
-          6 2 4 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 9 1 -1.</_>
-        <_>
-          7 0 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 3 -1.</_>
-        <_>
-          14 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 1 2 -1.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 3 -1.</_>
-        <_>
-          11 9 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 3 -1.</_>
-        <_>
-          4 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 3 -1.</_>
-        <_>
-          14 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 3 3 -1.</_>
-        <_>
-          4 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 2 -1.</_>
-        <_>
-          11 0 4 1 2.</_>
-        <_>
-          7 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 6 9 -1.</_>
-        <_>
-          3 6 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 2 -1.</_>
-        <_>
-          12 5 1 1 2.</_>
-        <_>
-          11 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 2 -1.</_>
-        <_>
-          5 5 1 1 2.</_>
-        <_>
-          6 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 3 14 -1.</_>
-        <_>
-          14 8 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 6 8 -1.</_>
-        <_>
-          4 5 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 2 -1.</_>
-        <_>
-          10 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 8 14 -1.</_>
-        <_>
-          8 1 4 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 2 -1.</_>
-        <_>
-          10 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 7 -1.</_>
-        <_>
-          5 7 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 3 -1.</_>
-        <_>
-          10 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 10 10 -1.</_>
-        <_>
-          13 3 5 5 2.</_>
-        <_>
-          8 8 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 5 -1.</_>
-        <_>
-          2 0 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 6 6 -1.</_>
-        <_>
-          12 8 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 6 6 -1.</_>
-        <_>
-          3 8 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 1 -1.</_>
-        <_>
-          11 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 11 4 -1.</_>
-        <_>
-          4 1 11 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 16 2 -1.</_>
-        <_>
-          2 13 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 3 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 2 -1.</_>
-        <_>
-          11 0 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 4 -1.</_>
-        <_>
-          7 1 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 14 -1.</_>
-        <_>
-          5 0 4 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 2 -1.</_>
-        <_>
-          6 8 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 8 -1.</_>
-        <_>
-          8 2 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 3 -1.</_>
-        <_>
-          10 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          8 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 9 2 -1.</_>
-        <_>
-          12 4 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 9 -1.</_>
-        <_>
-          3 6 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 8 2 -1.</_>
-        <_>
-          5 6 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 2 6 -1.</_>
-        <_>
-          13 6 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 6 -1.</_>
-        <_>
-          0 0 9 3 2.</_>
-        <_>
-          9 3 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 2 6 -1.</_>
-        <_>
-          13 6 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 6 2 -1.</_>
-        <_>
-          5 6 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 8 4 3 -1.</_>
-        <_>
-          13 9 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 8 -1.</_>
-        <_>
-          0 5 9 4 2.</_>
-        <_>
-          9 9 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 3 -1.</_>
-        <_>
-          12 1 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 2 -1.</_>
-        <_>
-          7 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 3 3 -1.</_>
-        <_>
-          13 8 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          0 11 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          16 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 1 -1.</_>
-        <_>
-          8 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 4 -1.</_>
-        <_>
-          6 6 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 3 3 -1.</_>
-        <_>
-          13 8 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 3 -1.</_>
-        <_>
-          5 8 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          15 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 2 -1.</_>
-        <_>
-          0 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 2 6 -1.</_>
-        <_>
-          12 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 1 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 3 -1.</_>
-        <_>
-          13 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 7 -1.</_>
-        <_>
-          8 5 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 11 -1.</_>
-        <_>
-          7 0 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 2 -1.</_>
-        <_>
-          9 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 3 -1.</_>
-        <_>
-          13 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 4 -1.</_>
-        <_>
-          5 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 14 2 -1.</_>
-        <_>
-          10 0 7 1 2.</_>
-        <_>
-          3 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 6 -1.</_>
-        <_>
-          0 0 2 3 2.</_>
-        <_>
-          2 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          15 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 4 -1.</_>
-        <_>
-          3 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          9 0 9 4 2.</_>
-        <_>
-          0 4 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 3 -1.</_>
-        <_>
-          4 1 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 2 -1.</_>
-        <_>
-          12 6 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          5 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 15 -1.</_>
-        <_>
-          16 0 1 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 15 -1.</_>
-        <_>
-          1 0 1 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 14 -1.</_>
-        <_>
-          15 8 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 12 -1.</_>
-        <_>
-          0 7 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 10 7 -1.</_>
-        <_>
-          8 2 5 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 9 6 -1.</_>
-        <_>
-          2 3 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 6 -1.</_>
-        <_>
-          3 5 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 10 2 -1.</_>
-        <_>
-          5 5 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 3 3 -1.</_>
-        <_>
-          14 10 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 11 3 3 -1.</_>
-        <_>
-          2 11 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 12 -1.</_>
-        <_>
-          13 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 4 -1.</_>
-        <_>
-          0 8 2 2 2.</_>
-        <_>
-          2 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 6 1 -1.</_>
-        <_>
-          14 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 6 -1.</_>
-        <_>
-          0 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 16 6 -1.</_>
-        <_>
-          1 7 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          6 7 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 6 -1.</_>
-        <_>
-          11 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 6 -1.</_>
-        <_>
-          6 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 12 -1.</_>
-        <_>
-          13 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 4 2 -1.</_>
-        <_>
-          2 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 11 -1.</_>
-        <_>
-          13 4 1 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 5 12 -1.</_>
-        <_>
-          0 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 11 -1.</_>
-        <_>
-          13 4 1 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 13 4 2 -1.</_>
-        <_>
-          5 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 1 2 -1.</_>
-        <_>
-          11 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 7 2 -1.</_>
-        <_>
-          0 5 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 3 3 -1.</_>
-        <_>
-          13 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 7 -1.</_>
-        <_>
-          7 0 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 15 -1.</_>
-        <_>
-          8 0 4 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 3 -1.</_>
-        <_>
-          0 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 1 -1.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 13 -1.</_>
-        <_>
-          4 2 1 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 3 3 -1.</_>
-        <_>
-          13 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 4 -1.</_>
-        <_>
-          5 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 13 -1.</_>
-        <_>
-          6 0 4 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 4 -1.</_>
-        <_>
-          10 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 1 -1.</_>
-        <_>
-          8 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 3 3 -1.</_>
-        <_>
-          13 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 3 -1.</_>
-        <_>
-          5 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 2 1 8 -1.</_>
-        <_>
-          17 2 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 2 8 1 -1.</_>
-        <_>
-          1 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 4 -1.</_>
-        <_>
-          12 7 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 3 -1.</_>
-        <_>
-          6 7 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          13 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 8 3 -1.</_>
-        <_>
-          0 5 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 6 -1.</_>
-        <_>
-          10 5 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 6 8 -1.</_>
-        <_>
-          4 1 3 4 2.</_>
-        <_>
-          7 5 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 2 -1.</_>
-        <_>
-          10 4 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 2 -1.</_>
-        <_>
-          6 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 3 4 -1.</_>
-        <_>
-          9 12 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 10 4 -1.</_>
-        <_>
-          1 13 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 2 -1.</_>
-        <_>
-          14 1 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 8 -1.</_>
-        <_>
-          3 3 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 2 8 -1.</_>
-        <_>
-          12 4 1 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 8 2 -1.</_>
-        <_>
-          6 4 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 1 -1.</_>
-        <_>
-          7 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 6 -1.</_>
-        <_>
-          7 7 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 1 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 3 -1.</_>
-        <_>
-          8 1 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 3 -1.</_>
-        <_>
-          16 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 4 4 -1.</_>
-        <_>
-          2 7 2 2 2.</_>
-        <_>
-          4 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 3 -1.</_>
-        <_>
-          16 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 3 -1.</_>
-        <_>
-          0 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 4 -1.</_>
-        <_>
-          12 6 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 13 8 2 -1.</_>
-        <_>
-          6 13 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          8 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 12 -1.</_>
-        <_>
-          4 3 5 6 2.</_>
-        <_>
-          9 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 8 4 -1.</_>
-        <_>
-          7 11 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 8 4 -1.</_>
-        <_>
-          7 11 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 2 2 -1.</_>
-        <_>
-          14 6 1 1 2.</_>
-        <_>
-          13 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 2 -1.</_>
-        <_>
-          3 6 1 1 2.</_>
-        <_>
-          4 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 6 -1.</_>
-        <_>
-          4 4 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 7 3 -1.</_>
-        <_>
-          5 1 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 6 -1.</_>
-        <_>
-          17 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 12 2 -1.</_>
-        <_>
-          3 12 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 11 1 2 -1.</_>
-        <_>
-          17 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 2 -1.</_>
-        <_>
-          7 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 3 -1.</_>
-        <_>
-          14 3 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          5 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 8 2 -1.</_>
-        <_>
-          9 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 15 -1.</_>
-        <_>
-          7 0 6 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 6 -1.</_>
-        <_>
-          17 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 6 -1.</_>
-        <_>
-          0 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          14 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 5 -1.</_>
-        <_>
-          6 1 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 4 -1.</_>
-        <_>
-          14 0 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 8 -1.</_>
-        <_>
-          9 3 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 3 -1.</_>
-        <_>
-          14 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 3 2 -1.</_>
-        <_>
-          4 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 3 2 2 -1.</_>
-        <_>
-          13 3 1 1 2.</_>
-        <_>
-          12 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 2 2 -1.</_>
-        <_>
-          4 3 1 1 2.</_>
-        <_>
-          5 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          16 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 3 -1.</_>
-        <_>
-          1 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 4 -1.</_>
-        <_>
-          4 8 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 8 -1.</_>
-        <_>
-          9 2 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 9 12 -1.</_>
-        <_>
-          4 0 3 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 12 10 -1.</_>
-        <_>
-          12 4 6 5 2.</_>
-        <_>
-          6 9 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 2 -1.</_>
-        <_>
-          9 0 9 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          13 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 10 4 -1.</_>
-        <_>
-          2 2 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          13 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          13 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 4 3 -1.</_>
-        <_>
-          5 7 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 4 -1.</_>
-        <_>
-          12 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 6 -1.</_>
-        <_>
-          14 0 4 3 2.</_>
-        <_>
-          10 3 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          0 0 9 5 2.</_>
-        <_>
-          9 5 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 8 -1.</_>
-        <_>
-          16 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 8 -1.</_>
-        <_>
-          0 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 1 -1.</_>
-        <_>
-          15 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 4 -1.</_>
-        <_>
-          4 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 1 -1.</_>
-        <_>
-          15 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 10 1 4 -1.</_>
-        <_>
-          3 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 1 4 -1.</_>
-        <_>
-          13 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 6 -1.</_>
-        <_>
-          9 0 8 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 4 -1.</_>
-        <_>
-          9 0 8 2 2.</_>
-        <_>
-          1 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 16 11 -1.</_>
-        <_>
-          5 3 8 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 1 -1.</_>
-        <_>
-          9 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 9 4 4 -1.</_>
-        <_>
-          3 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 14 9 -1.</_>
-        <_>
-          2 6 14 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 2 -1.</_>
-        <_>
-          7 6 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 4 -1.</_>
-        <_>
-          13 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 11 4 4 -1.</_>
-        <_>
-          1 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 4 -1.</_>
-        <_>
-          13 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 2 -1.</_>
-        <_>
-          5 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 1 -1.</_>
-        <_>
-          14 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 12 -1.</_>
-        <_>
-          0 7 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 16 12 -1.</_>
-        <_>
-          10 3 8 6 2.</_>
-        <_>
-          2 9 8 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 8 2 -1.</_>
-        <_>
-          5 5 4 1 2.</_>
-        <_>
-          9 6 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 1 -1.</_>
-        <_>
-          14 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 6 -1.</_>
-        <_>
-          7 1 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 1 -1.</_>
-        <_>
-          14 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 7 -1.</_>
-        <_>
-          9 2 4 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 1 -1.</_>
-        <_>
-          14 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 4 -1.</_>
-        <_>
-          4 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 3 -1.</_>
-        <_>
-          15 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 3 2 -1.</_>
-        <_>
-          3 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 3 -1.</_>
-        <_>
-          13 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          5 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 13 7 2 -1.</_>
-        <_>
-          8 14 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 1 2 -1.</_>
-        <_>
-          8 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 8 -1.</_>
-        <_>
-          10 1 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 4 -1.</_>
-        <_>
-          8 1 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 10 -1.</_>
-        <_>
-          9 0 4 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 3 2 -1.</_>
-        <_>
-          7 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 9 10 -1.</_>
-        <_>
-          9 10 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 10 -1.</_>
-        <_>
-          5 0 4 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 7 -1.</_>
-        <_>
-          5 0 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 2 -1.</_>
-        <_>
-          6 0 1 1 2.</_>
-        <_>
-          7 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 4 -1.</_>
-        <_>
-          0 12 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 5 10 -1.</_>
-        <_>
-          0 10 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 3 -1.</_>
-        <_>
-          9 9 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 2 -1.</_>
-        <_>
-          0 13 1 1 2.</_>
-        <_>
-          1 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 13 2 2 -1.</_>
-        <_>
-          17 13 1 1 2.</_>
-        <_>
-          16 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 2 -1.</_>
-        <_>
-          0 13 1 1 2.</_>
-        <_>
-          1 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          10 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 2 -1.</_>
-        <_>
-          0 10 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 2 6 -1.</_>
-        <_>
-          14 5 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 6 -1.</_>
-        <_>
-          0 9 9 3 2.</_>
-        <_>
-          9 12 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 4 -1.</_>
-        <_>
-          9 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 4 -1.</_>
-        <_>
-          1 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 2 -1.</_>
-        <_>
-          9 0 8 1 2.</_>
-        <_>
-          1 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 2 -1.</_>
-        <_>
-          8 0 1 1 2.</_>
-        <_>
-          9 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 4 -1.</_>
-        <_>
-          12 7 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 4 -1.</_>
-        <_>
-          7 8 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 4 -1.</_>
-        <_>
-          12 7 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 4 2 -1.</_>
-        <_>
-          6 7 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 2 -1.</_>
-        <_>
-          12 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 17 6 -1.</_>
-        <_>
-          0 7 17 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 2 2 -1.</_>
-        <_>
-          15 6 1 1 2.</_>
-        <_>
-          14 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 1 -1.</_>
-        <_>
-          9 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 6 2 2 -1.</_>
-        <_>
-          15 6 1 1 2.</_>
-        <_>
-          14 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 3 1 -1.</_>
-        <_>
-          10 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 6 -1.</_>
-        <_>
-          9 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 1 -1.</_>
-        <_>
-          9 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 10 -1.</_>
-        <_>
-          6 5 3 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 2 -1.</_>
-        <_>
-          9 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 6 2 2 -1.</_>
-        <_>
-          15 6 1 1 2.</_>
-        <_>
-          14 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 2 2 -1.</_>
-        <_>
-          2 6 1 1 2.</_>
-        <_>
-          3 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 2 2 -1.</_>
-        <_>
-          15 6 1 1 2.</_>
-        <_>
-          14 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 2 2 -1.</_>
-        <_>
-          2 6 1 1 2.</_>
-        <_>
-          3 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 5 -1.</_>
-        <_>
-          7 0 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 6 -1.</_>
-        <_>
-          7 5 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 1 3 -1.</_>
-        <_>
-          4 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 6 -1.</_>
-        <_>
-          13 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 16 2 -1.</_>
-        <_>
-          1 4 8 1 2.</_>
-        <_>
-          9 5 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 6 2 -1.</_>
-        <_>
-          12 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 2 -1.</_>
-        <_>
-          9 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 4 -1.</_>
-        <_>
-          7 4 2 2 2.</_>
-        <_>
-          9 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 6 2 -1.</_>
-        <_>
-          12 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 1 4 -1.</_>
-        <_>
-          3 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 6 2 -1.</_>
-        <_>
-          12 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 11 2 -1.</_>
-        <_>
-          3 1 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 2 -1.</_>
-        <_>
-          6 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 3 -1.</_>
-        <_>
-          0 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 12 4 -1.</_>
-        <_>
-          12 5 6 2 2.</_>
-        <_>
-          6 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 12 4 -1.</_>
-        <_>
-          0 5 6 2 2.</_>
-        <_>
-          6 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 2 -1.</_>
-        <_>
-          10 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 4 4 -1.</_>
-        <_>
-          0 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 1 -1.</_>
-        <_>
-          16 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 1 2 -1.</_>
-        <_>
-          2 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 15 -1.</_>
-        <_>
-          6 0 6 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 6 4 -1.</_>
-        <_>
-          4 2 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 2 13 -1.</_>
-        <_>
-          13 2 1 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 13 -1.</_>
-        <_>
-          4 2 1 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          4 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 16 2 -1.</_>
-        <_>
-          2 13 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 14 2 -1.</_>
-        <_>
-          2 14 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 2 -1.</_>
-        <_>
-          1 0 1 1 2.</_>
-        <_>
-          2 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 4 -1.</_>
-        <_>
-          3 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 2 -1.</_>
-        <_>
-          1 0 1 1 2.</_>
-        <_>
-          2 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 8 2 -1.</_>
-        <_>
-          8 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 3 -1.</_>
-        <_>
-          6 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 4 4 -1.</_>
-        <_>
-          10 6 2 2 2.</_>
-        <_>
-          8 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 7 6 -1.</_>
-        <_>
-          5 3 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 15 -1.</_>
-        <_>
-          7 5 6 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 4 4 -1.</_>
-        <_>
-          6 6 2 2 2.</_>
-        <_>
-          8 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 2 -1.</_>
-        <_>
-          8 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 1 -1.</_>
-        <_>
-          7 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 6 4 3 -1.</_>
-        <_>
-          12 7 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 4 -1.</_>
-        <_>
-          6 7 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 12 -1.</_>
-        <_>
-          13 6 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 10 -1.</_>
-        <_>
-          3 6 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 1 8 -1.</_>
-        <_>
-          8 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 8 1 -1.</_>
-        <_>
-          10 5 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 2 -1.</_>
-        <_>
-          9 3 9 1 2.</_>
-        <_>
-          0 4 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 4 -1.</_>
-        <_>
-          5 2 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 6 -1.</_>
-        <_>
-          15 9 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 6 -1.</_>
-        <_>
-          2 9 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 3 6 -1.</_>
-        <_>
-          16 9 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 14 3 -1.</_>
-        <_>
-          1 13 14 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 3 6 -1.</_>
-        <_>
-          16 9 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 9 12 -1.</_>
-        <_>
-          0 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 4 -1.</_>
-        <_>
-          12 7 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 3 -1.</_>
-        <_>
-          6 7 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 2 -1.</_>
-        <_>
-          14 10 4 1 2.</_>
-        <_>
-          10 11 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 3 -1.</_>
-        <_>
-          8 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 3 -1.</_>
-        <_>
-          9 2 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 4 -1.</_>
-        <_>
-          8 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 2 -1.</_>
-        <_>
-          14 1 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 4 -1.</_>
-        <_>
-          5 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 2 -1.</_>
-        <_>
-          11 11 1 1 2.</_>
-        <_>
-          10 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 16 6 -1.</_>
-        <_>
-          1 8 8 3 2.</_>
-        <_>
-          9 11 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 7 -1.</_>
-        <_>
-          16 8 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 7 -1.</_>
-        <_>
-          1 8 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 4 -1.</_>
-        <_>
-          10 9 1 2 2.</_>
-        <_>
-          9 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 4 -1.</_>
-        <_>
-          7 9 1 2 2.</_>
-        <_>
-          8 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 14 9 -1.</_>
-        <_>
-          3 6 7 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 6 -1.</_>
-        <_>
-          6 7 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 3 -1.</_>
-        <_>
-          11 0 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 8 2 -1.</_>
-        <_>
-          7 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 16 8 -1.</_>
-        <_>
-          1 8 16 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 14 8 -1.</_>
-        <_>
-          2 7 7 4 2.</_>
-        <_>
-          9 11 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 6 -1.</_>
-        <_>
-          9 9 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 9 -1.</_>
-        <_>
-          5 9 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 6 8 -1.</_>
-        <_>
-          12 7 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 9 4 -1.</_>
-        <_>
-          12 5 3 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 6 8 -1.</_>
-        <_>
-          12 7 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 4 -1.</_>
-        <_>
-          4 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 6 -1.</_>
-        <_>
-          8 3 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 1 -1.</_>
-        <_>
-          6 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 6 6 -1.</_>
-        <_>
-          12 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 6 6 -1.</_>
-        <_>
-          3 9 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 14 -1.</_>
-        <_>
-          15 8 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 2 -1.</_>
-        <_>
-          5 1 4 1 2.</_>
-        <_>
-          9 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 5 -1.</_>
-        <_>
-          8 0 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 4 -1.</_>
-        <_>
-          5 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 3 -1.</_>
-        <_>
-          12 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 15 -1.</_>
-        <_>
-          9 0 5 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 3 -1.</_>
-        <_>
-          8 0 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 14 -1.</_>
-        <_>
-          0 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 8 4 -1.</_>
-        <_>
-          5 6 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 14 2 -1.</_>
-        <_>
-          2 10 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 2 -1.</_>
-        <_>
-          0 10 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 8 2 -1.</_>
-        <_>
-          5 7 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 3 -1.</_>
-        <_>
-          11 6 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 1 -1.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 2 -1.</_>
-        <_>
-          13 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 2 -1.</_>
-        <_>
-          6 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 3 -1.</_>
-        <_>
-          11 6 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          6 6 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 1 -1.</_>
-        <_>
-          11 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 13 10 2 -1.</_>
-        <_>
-          4 14 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 1 -1.</_>
-        <_>
-          11 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 12 14 2 -1.</_>
-        <_>
-          1 13 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 6 -1.</_>
-        <_>
-          8 7 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 4 -1.</_>
-        <_>
-          10 7 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 6 -1.</_>
-        <_>
-          15 9 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 3 2 -1.</_>
-        <_>
-          7 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 14 2 -1.</_>
-        <_>
-          2 9 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 8 -1.</_>
-        <_>
-          3 4 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 8 -1.</_>
-        <_>
-          9 1 9 4 2.</_>
-        <_>
-          0 5 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 7 -1.</_>
-        <_>
-          7 0 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 4 1 -1.</_>
-        <_>
-          10 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 10 2 -1.</_>
-        <_>
-          2 0 10 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 6 -1.</_>
-        <_>
-          9 4 5 3 2.</_>
-        <_>
-          4 7 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 4 2 -1.</_>
-        <_>
-          5 8 2 1 2.</_>
-        <_>
-          7 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 6 -1.</_>
-        <_>
-          15 9 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 16 6 -1.</_>
-        <_>
-          1 6 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 4 -1.</_>
-        <_>
-          9 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 3 -1.</_>
-        <_>
-          0 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 3 -1.</_>
-        <_>
-          14 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 3 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 12 3 -1.</_>
-        <_>
-          9 1 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 12 3 -1.</_>
-        <_>
-          3 1 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 3 -1.</_>
-        <_>
-          14 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 7 -1.</_>
-        <_>
-          4 0 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 4 6 -1.</_>
-        <_>
-          14 4 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 6 4 -1.</_>
-        <_>
-          4 4 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 8 -1.</_>
-        <_>
-          4 3 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 2 -1.</_>
-        <_>
-          12 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 3 -1.</_>
-        <_>
-          6 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 2 -1.</_>
-        <_>
-          9 0 6 1 2.</_>
-        <_>
-          3 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 2 -1.</_>
-        <_>
-          0 2 1 1 2.</_>
-        <_>
-          1 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 3 -1.</_>
-        <_>
-          14 2 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 4 -1.</_>
-        <_>
-          9 0 7 2 2.</_>
-        <_>
-          2 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 3 6 -1.</_>
-        <_>
-          7 2 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 4 -1.</_>
-        <_>
-          16 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 4 -1.</_>
-        <_>
-          0 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 2 -1.</_>
-        <_>
-          9 3 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 3 2 -1.</_>
-        <_>
-          6 3 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 4 -1.</_>
-        <_>
-          14 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 4 -1.</_>
-        <_>
-          2 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 10 2 -1.</_>
-        <_>
-          13 13 5 1 2.</_>
-        <_>
-          8 14 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 3 -1.</_>
-        <_>
-          5 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 6 -1.</_>
-        <_>
-          8 7 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 8 2 -1.</_>
-        <_>
-          9 3 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 11 4 -1.</_>
-        <_>
-          4 2 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 12 4 3 -1.</_>
-        <_>
-          5 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 2 -1.</_>
-        <_>
-          6 8 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 6 -1.</_>
-        <_>
-          0 11 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 13 1 2 -1.</_>
-        <_>
-          12 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 1 8 -1.</_>
-        <_>
-          8 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 4 13 -1.</_>
-        <_>
-          11 2 2 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 13 -1.</_>
-        <_>
-          5 2 2 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 3 -1.</_>
-        <_>
-          12 9 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 10 4 -1.</_>
-        <_>
-          5 0 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 7 18 4 -1.</_>
-        <_>
-          9 7 9 2 2.</_>
-        <_>
-          0 9 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 2 2 -1.</_>
-        <_>
-          4 8 1 1 2.</_>
-        <_>
-          5 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 3 -1.</_>
-        <_>
-          9 0 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 1 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 14 8 -1.</_>
-        <_>
-          2 5 14 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 1 8 -1.</_>
-        <_>
-          8 6 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 8 4 4 -1.</_>
-        <_>
-          11 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 4 2 -1.</_>
-        <_>
-          2 11 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 4 2 -1.</_>
-        <_>
-          12 8 2 1 2.</_>
-        <_>
-          10 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 3 3 -1.</_>
-        <_>
-          8 8 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 4 2 -1.</_>
-        <_>
-          15 8 2 1 2.</_>
-        <_>
-          13 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 4 2 -1.</_>
-        <_>
-          1 8 2 1 2.</_>
-        <_>
-          3 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 10 12 -1.</_>
-        <_>
-          5 3 5 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 10 12 -1.</_>
-        <_>
-          8 3 5 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 8 -1.</_>
-        <_>
-          9 0 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 8 -1.</_>
-        <_>
-          5 0 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          9 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          9 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 2 -1.</_>
-        <_>
-          6 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 2 -1.</_>
-        <_>
-          9 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 4 -1.</_>
-        <_>
-          9 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 6 4 -1.</_>
-        <_>
-          11 8 3 2 2.</_>
-        <_>
-          8 10 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 2 -1.</_>
-        <_>
-          16 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 3 -1.</_>
-        <_>
-          2 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 3 -1.</_>
-        <_>
-          15 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 3 2 -1.</_>
-        <_>
-          3 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 2 -1.</_>
-        <_>
-          14 1 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 2 4 -1.</_>
-        <_>
-          4 1 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 2 5 6 -1.</_>
-        <_>
-          13 5 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 9 -1.</_>
-        <_>
-          2 3 14 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 1 2 -1.</_>
-        <_>
-          2 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 5 6 -1.</_>
-        <_>
-          13 5 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 9 -1.</_>
-        <_>
-          2 0 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 2 -1.</_>
-        <_>
-          8 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 5 -1.</_>
-        <_>
-          11 2 4 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 2 5 6 -1.</_>
-        <_>
-          13 5 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 5 6 -1.</_>
-        <_>
-          0 5 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 10 -1.</_>
-        <_>
-          9 4 6 5 2.</_>
-        <_>
-          3 9 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 2 3 -1.</_>
-        <_>
-          7 6 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 6 6 -1.</_>
-        <_>
-          13 3 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 6 6 -1.</_>
-        <_>
-          5 3 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 4 1 6 -1.</_>
-        <_>
-          13 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 2 -1.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 6 2 -1.</_>
-        <_>
-          13 13 3 1 2.</_>
-        <_>
-          10 14 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 6 2 -1.</_>
-        <_>
-          2 13 3 1 2.</_>
-        <_>
-          5 14 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 12 9 3 -1.</_>
-        <_>
-          8 12 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 14 12 1 -1.</_>
-        <_>
-          5 14 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 15 -1.</_>
-        <_>
-          8 0 4 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 8 14 -1.</_>
-        <_>
-          5 0 4 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 4 -1.</_>
-        <_>
-          14 10 4 2 2.</_>
-        <_>
-          10 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 5 -1.</_>
-        <_>
-          6 0 4 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 1 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 2 -1.</_>
-        <_>
-          6 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 8 -1.</_>
-        <_>
-          12 5 1 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 8 2 -1.</_>
-        <_>
-          6 5 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 14 4 -1.</_>
-        <_>
-          2 6 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 1 4 -1.</_>
-        <_>
-          12 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 1 4 -1.</_>
-        <_>
-          5 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 3 2 -1.</_>
-        <_>
-          13 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 9 6 4 -1.</_>
-        <_>
-          3 9 3 2 2.</_>
-        <_>
-          6 11 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 6 1 -1.</_>
-        <_>
-          9 12 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 1 -1.</_>
-        <_>
-          8 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 8 2 -1.</_>
-        <_>
-          6 13 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 2 -1.</_>
-        <_>
-          9 0 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 11 10 4 -1.</_>
-        <_>
-          7 11 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 15 4 -1.</_>
-        <_>
-          6 11 5 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 4 -1.</_>
-        <_>
-          7 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 2 2 -1.</_>
-        <_>
-          1 10 1 1 2.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 3 2 -1.</_>
-        <_>
-          9 10 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 3 -1.</_>
-        <_>
-          0 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 4 4 -1.</_>
-        <_>
-          11 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 4 4 -1.</_>
-        <_>
-          3 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 16 2 -1.</_>
-        <_>
-          6 7 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 16 2 -1.</_>
-        <_>
-          4 7 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 4 2 -1.</_>
-        <_>
-          14 10 2 1 2.</_>
-        <_>
-          12 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 4 2 -1.</_>
-        <_>
-          2 10 2 1 2.</_>
-        <_>
-          4 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 9 -1.</_>
-        <_>
-          8 7 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 15 -1.</_>
-        <_>
-          8 5 4 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 3 -1.</_>
-        <_>
-          8 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 7 2 -1.</_>
-        <_>
-          6 2 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 6 2 -1.</_>
-        <_>
-          0 7 3 1 2.</_>
-        <_>
-          3 8 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 5 3 -1.</_>
-        <_>
-          11 4 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 5 -1.</_>
-        <_>
-          7 4 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 3 -1.</_>
-        <_>
-          7 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 6 14 -1.</_>
-        <_>
-          2 1 3 7 2.</_>
-        <_>
-          5 8 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 8 9 -1.</_>
-        <_>
-          10 1 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 4 -1.</_>
-        <_>
-          8 7 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 4 -1.</_>
-        <_>
-          10 9 1 2 2.</_>
-        <_>
-          9 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 4 2 -1.</_>
-        <_>
-          3 9 2 1 2.</_>
-        <_>
-          5 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          0 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 9 -1.</_>
-        <_>
-          6 0 8 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 8 4 -1.</_>
-        <_>
-          5 1 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 6 -1.</_>
-        <_>
-          7 5 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 2 -1.</_>
-        <_>
-          11 5 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 2 -1.</_>
-        <_>
-          15 1 1 1 2.</_>
-        <_>
-          14 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 3 2 -1.</_>
-        <_>
-          3 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          15 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 2 -1.</_>
-        <_>
-          3 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 8 -1.</_>
-        <_>
-          8 2 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 8 -1.</_>
-        <_>
-          3 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 2 -1.</_>
-        <_>
-          11 0 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 9 6 -1.</_>
-        <_>
-          4 8 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 2 -1.</_>
-        <_>
-          11 0 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 9 2 -1.</_>
-        <_>
-          4 0 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 4 -1.</_>
-        <_>
-          7 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 3 -1.</_>
-        <_>
-          6 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 6 -1.</_>
-        <_>
-          9 0 7 3 2.</_>
-        <_>
-          2 3 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 14 -1.</_>
-        <_>
-          0 7 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 10 -1.</_>
-        <_>
-          9 5 9 5 2.</_>
-        <_>
-          0 10 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 1 3 -1.</_>
-        <_>
-          5 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 4 -1.</_>
-        <_>
-          3 7 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 14 6 -1.</_>
-        <_>
-          2 7 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 6 6 -1.</_>
-        <_>
-          11 5 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 2 -1.</_>
-        <_>
-          6 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 9 15 -1.</_>
-        <_>
-          3 5 3 5 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 5 3 -1.</_>
-        <_>
-          10 9 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 4 -1.</_>
-        <_>
-          6 1 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 8 6 -1.</_>
-        <_>
-          7 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 8 5 -1.</_>
-        <_>
-          8 9 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 1 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 8 -1.</_>
-        <_>
-          11 2 2 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 1 6 -1.</_>
-        <_>
-          9 8 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          0 11 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 5 3 -1.</_>
-        <_>
-          3 9 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 16 4 -1.</_>
-        <_>
-          5 1 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 2 -1.</_>
-        <_>
-          9 0 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 4 7 -1.</_>
-        <_>
-          15 5 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 7 4 -1.</_>
-        <_>
-          3 5 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 2 -1.</_>
-        <_>
-          8 3 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 2 -1.</_>
-        <_>
-          4 2 5 1 2.</_>
-        <_>
-          9 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 2 -1.</_>
-        <_>
-          16 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 14 3 -1.</_>
-        <_>
-          2 13 14 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 2 -1.</_>
-        <_>
-          16 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 2 2 -1.</_>
-        <_>
-          1 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 6 6 -1.</_>
-        <_>
-          12 9 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 6 6 -1.</_>
-        <_>
-          4 9 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 9 -1.</_>
-        <_>
-          8 8 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 4 -1.</_>
-        <_>
-          0 5 9 2 2.</_>
-        <_>
-          9 7 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 1 3 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 6 4 -1.</_>
-        <_>
-          4 5 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 13 6 2 -1.</_>
-        <_>
-          13 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 3 1 -1.</_>
-        <_>
-          2 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 4 -1.</_>
-        <_>
-          9 1 9 2 2.</_>
-        <_>
-          0 3 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 6 2 -1.</_>
-        <_>
-          3 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 9 -1.</_>
-        <_>
-          8 8 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 9 1 -1.</_>
-        <_>
-          10 8 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 9 16 2 -1.</_>
-        <_>
-          1 10 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 16 8 -1.</_>
-        <_>
-          1 9 16 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          15 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 11 2 -1.</_>
-        <_>
-          3 1 11 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 9 6 -1.</_>
-        <_>
-          8 5 3 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 4 -1.</_>
-        <_>
-          5 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 3 -1.</_>
-        <_>
-          14 3 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 3 -1.</_>
-        <_>
-          4 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 2 -1.</_>
-        <_>
-          10 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 6 -1.</_>
-        <_>
-          9 1 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 6 -1.</_>
-        <_>
-          9 5 2 3 2.</_>
-        <_>
-          7 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 6 -1.</_>
-        <_>
-          3 6 6 3 2.</_>
-        <_>
-          9 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 6 -1.</_>
-        <_>
-          7 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 2 -1.</_>
-        <_>
-          8 6 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 14 2 -1.</_>
-        <_>
-          2 13 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 6 7 -1.</_>
-        <_>
-          4 8 2 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          15 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 3 3 -1.</_>
-        <_>
-          4 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 2 -1.</_>
-        <_>
-          9 0 6 1 2.</_>
-        <_>
-          3 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 4 2 -1.</_>
-        <_>
-          1 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 5 -1.</_>
-        <_>
-          14 7 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 6 3 -1.</_>
-        <_>
-          9 6 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 5 16 6 -1.</_>
-        <_>
-          1 7 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 8 2 -1.</_>
-        <_>
-          12 9 4 1 2.</_>
-        <_>
-          8 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 15 -1.</_>
-        <_>
-          3 0 6 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 2 -1.</_>
-        <_>
-          10 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 4 2 -1.</_>
-        <_>
-          6 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 9 -1.</_>
-        <_>
-          9 0 3 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 8 2 -1.</_>
-        <_>
-          2 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 8 -1.</_>
-        <_>
-          8 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 2 -1.</_>
-        <_>
-          16 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 2 2 -1.</_>
-        <_>
-          2 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 3 -1.</_>
-        <_>
-          13 3 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 2 -1.</_>
-        <_>
-          5 3 4 1 2.</_>
-        <_>
-          9 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 5 3 -1.</_>
-        <_>
-          12 2 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 3 5 -1.</_>
-        <_>
-          6 2 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 9 6 -1.</_>
-        <_>
-          7 3 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 9 6 -1.</_>
-        <_>
-          2 3 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 8 -1.</_>
-        <_>
-          4 4 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 2 -1.</_>
-        <_>
-          7 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 8 -1.</_>
-        <_>
-          11 2 2 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 4 3 -1.</_>
-        <_>
-          4 7 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 8 -1.</_>
-        <_>
-          11 2 2 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 11 6 4 -1.</_>
-        <_>
-          1 11 3 2 2.</_>
-        <_>
-          4 13 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 8 -1.</_>
-        <_>
-          11 2 2 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 6 -1.</_>
-        <_>
-          7 2 8 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 4 -1.</_>
-        <_>
-          15 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 4 -1.</_>
-        <_>
-          4 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 1 -1.</_>
-        <_>
-          14 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 11 8 -1.</_>
-        <_>
-          0 11 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 17 4 -1.</_>
-        <_>
-          1 11 17 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 16 6 -1.</_>
-        <_>
-          1 8 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 1 -1.</_>
-        <_>
-          14 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 1 -1.</_>
-        <_>
-          3 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 9 6 -1.</_>
-        <_>
-          5 4 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 3 2 -1.</_>
-        <_>
-          7 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 12 4 -1.</_>
-        <_>
-          6 13 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 16 2 -1.</_>
-        <_>
-          0 0 8 1 2.</_>
-        <_>
-          8 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 2 -1.</_>
-        <_>
-          14 2 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 6 -1.</_>
-        <_>
-          4 2 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 6 -1.</_>
-        <_>
-          16 10 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 6 -1.</_>
-        <_>
-          1 10 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 3 3 -1.</_>
-        <_>
-          13 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 3 -1.</_>
-        <_>
-          5 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 3 6 -1.</_>
-        <_>
-          12 9 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 2 -1.</_>
-        <_>
-          12 3 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 4 1 8 -1.</_>
-        <_>
-          13 6 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 8 1 -1.</_>
-        <_>
-          5 6 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 6 -1.</_>
-        <_>
-          8 0 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 10 1 -1.</_>
-        <_>
-          8 3 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 5 -1.</_>
-        <_>
-          9 8 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 8 2 -1.</_>
-        <_>
-          9 4 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 2 3 13 -1.</_>
-        <_>
-          12 2 1 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 13 -1.</_>
-        <_>
-          5 2 1 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 1 6 -1.</_>
-        <_>
-          17 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 6 -1.</_>
-        <_>
-          0 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 8 4 -1.</_>
-        <_>
-          12 7 4 2 2.</_>
-        <_>
-          8 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 8 4 -1.</_>
-        <_>
-          2 7 4 2 2.</_>
-        <_>
-          6 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 4 -1.</_>
-        <_>
-          9 5 6 2 2.</_>
-        <_>
-          3 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 3 3 -1.</_>
-        <_>
-          8 13 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 2 3 -1.</_>
-        <_>
-          8 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 3 -1.</_>
-        <_>
-          5 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 4 1 -1.</_>
-        <_>
-          5 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 1 -1.</_>
-        <_>
-          9 0 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 4 2 -1.</_>
-        <_>
-          6 8 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 4 -1.</_>
-        <_>
-          12 7 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 4 2 -1.</_>
-        <_>
-          6 7 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 12 4 -1.</_>
-        <_>
-          7 1 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 12 4 -1.</_>
-        <_>
-          5 1 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 12 3 -1.</_>
-        <_>
-          9 1 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 11 8 -1.</_>
-        <_>
-          3 3 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 15 4 -1.</_>
-        <_>
-          2 8 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 2 2 -1.</_>
-        <_>
-          5 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 10 8 5 -1.</_>
-        <_>
-          8 10 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 8 5 -1.</_>
-        <_>
-          6 10 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 17 2 -1.</_>
-        <_>
-          1 12 17 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 17 4 -1.</_>
-        <_>
-          0 10 17 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 2 -1.</_>
-        <_>
-          9 6 9 1 2.</_>
-        <_>
-          0 7 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 3 6 -1.</_>
-        <_>
-          5 3 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 13 6 2 -1.</_>
-        <_>
-          11 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 6 2 -1.</_>
-        <_>
-          5 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 2 2 -1.</_>
-        <_>
-          4 6 1 1 2.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 2 2 -1.</_>
-        <_>
-          4 6 1 1 2.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 8 -1.</_>
-        <_>
-          13 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 3 -1.</_>
-        <_>
-          10 8 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 1 3 -1.</_>
-        <_>
-          8 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 3 1 -1.</_>
-        <_>
-          10 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 6 2 -1.</_>
-        <_>
-          10 1 3 1 2.</_>
-        <_>
-          7 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 16 5 -1.</_>
-        <_>
-          5 5 8 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 6 1 -1.</_>
-        <_>
-          14 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 1 -1.</_>
-        <_>
-          2 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 1 -1.</_>
-        <_>
-          15 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 1 -1.</_>
-        <_>
-          2 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 2 -1.</_>
-        <_>
-          8 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 10 -1.</_>
-        <_>
-          0 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 6 -1.</_>
-        <_>
-          3 5 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 3 -1.</_>
-        <_>
-          5 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 6 -1.</_>
-        <_>
-          10 1 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 8 -1.</_>
-        <_>
-          4 0 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 1 -1.</_>
-        <_>
-          9 0 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 9 -1.</_>
-        <_>
-          6 0 6 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 9 4 -1.</_>
-        <_>
-          5 12 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 13 -1.</_>
-        <_>
-          4 2 1 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 2 -1.</_>
-        <_>
-          10 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 6 -1.</_>
-        <_>
-          8 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 3 -1.</_>
-        <_>
-          12 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 3 -1.</_>
-        <_>
-          6 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 2 -1.</_>
-        <_>
-          12 6 1 1 2.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 11 -1.</_>
-        <_>
-          9 0 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 5 -1.</_>
-        <_>
-          8 0 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 5 12 -1.</_>
-        <_>
-          2 8 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 10 -1.</_>
-        <_>
-          9 5 9 5 2.</_>
-        <_>
-          0 10 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 4 -1.</_>
-        <_>
-          0 10 4 2 2.</_>
-        <_>
-          4 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 3 -1.</_>
-        <_>
-          9 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 2 2 -1.</_>
-        <_>
-          2 11 1 1 2.</_>
-        <_>
-          3 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 14 -1.</_>
-        <_>
-          14 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 2 14 -1.</_>
-        <_>
-          2 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 3 4 -1.</_>
-        <_>
-          15 8 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 6 -1.</_>
-        <_>
-          0 9 9 3 2.</_>
-        <_>
-          9 12 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 5 -1.</_>
-        <_>
-          12 8 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 5 3 -1.</_>
-        <_>
-          6 8 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 2 -1.</_>
-        <_>
-          16 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 5 -1.</_>
-        <_>
-          8 8 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 10 12 -1.</_>
-        <_>
-          8 5 10 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 3 -1.</_>
-        <_>
-          16 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 4 -1.</_>
-        <_>
-          5 0 5 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 5 -1.</_>
-        <_>
-          12 0 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 5 -1.</_>
-        <_>
-          3 0 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 4 -1.</_>
-        <_>
-          7 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 10 12 -1.</_>
-        <_>
-          11 3 5 6 2.</_>
-        <_>
-          6 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 1 -1.</_>
-        <_>
-          5 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 16 8 -1.</_>
-        <_>
-          10 4 8 4 2.</_>
-        <_>
-          2 8 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 4 4 -1.</_>
-        <_>
-          1 6 2 2 2.</_>
-        <_>
-          3 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 2 -1.</_>
-        <_>
-          14 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 4 -1.</_>
-        <_>
-          4 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 8 1 3 -1.</_>
-        <_>
-          12 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 1 3 -1.</_>
-        <_>
-          5 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 4 -1.</_>
-        <_>
-          10 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 1 3 -1.</_>
-        <_>
-          5 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 2 -1.</_>
-        <_>
-          3 1 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 4 -1.</_>
-        <_>
-          4 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 10 12 -1.</_>
-        <_>
-          11 3 5 6 2.</_>
-        <_>
-          6 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 10 12 -1.</_>
-        <_>
-          2 3 5 6 2.</_>
-        <_>
-          7 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 9 -1.</_>
-        <_>
-          9 0 1 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 1 -1.</_>
-        <_>
-          1 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 14 -1.</_>
-        <_>
-          12 8 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 6 14 -1.</_>
-        <_>
-          0 8 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 9 -1.</_>
-        <_>
-          9 0 1 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 2 -1.</_>
-        <_>
-          9 0 9 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 14 3 -1.</_>
-        <_>
-          2 13 14 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          0 0 9 4 2.</_>
-        <_>
-          9 4 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 5 6 -1.</_>
-        <_>
-          11 4 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 5 6 -1.</_>
-        <_>
-          2 4 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 8 5 -1.</_>
-        <_>
-          8 10 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 10 6 -1.</_>
-        <_>
-          9 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 6 4 -1.</_>
-        <_>
-          0 11 3 2 2.</_>
-        <_>
-          3 13 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 14 2 1 -1.</_>
-        <_>
-          14 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 14 2 1 -1.</_>
-        <_>
-          3 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 8 -1.</_>
-        <_>
-          0 7 18 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 3 -1.</_>
-        <_>
-          4 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 1 2 -1.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 6 8 -1.</_>
-        <_>
-          5 4 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 2 -1.</_>
-        <_>
-          10 9 2 1 2.</_>
-        <_>
-          8 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 2 -1.</_>
-        <_>
-          6 9 2 1 2.</_>
-        <_>
-          8 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 1 2 -1.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 1 2 -1.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 16 2 -1.</_>
-        <_>
-          9 1 8 1 2.</_>
-        <_>
-          1 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 4 2 -1.</_>
-        <_>
-          6 10 2 1 2.</_>
-        <_>
-          8 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 3 -1.</_>
-        <_>
-          8 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 4 -1.</_>
-        <_>
-          6 0 2 2 2.</_>
-        <_>
-          8 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 6 3 -1.</_>
-        <_>
-          14 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 3 -1.</_>
-        <_>
-          2 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 13 2 2 -1.</_>
-        <_>
-          15 13 1 1 2.</_>
-        <_>
-          14 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 2 2 -1.</_>
-        <_>
-          2 13 1 1 2.</_>
-        <_>
-          3 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 12 4 2 -1.</_>
-        <_>
-          15 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 7 4 -1.</_>
-        <_>
-          9 4 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 2 -1.</_>
-        <_>
-          17 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 2 -1.</_>
-        <_>
-          0 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 2 -1.</_>
-        <_>
-          17 4 1 1 2.</_>
-        <_>
-          16 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 2 -1.</_>
-        <_>
-          0 4 1 1 2.</_>
-        <_>
-          1 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 6 -1.</_>
-        <_>
-          9 3 2 3 2.</_>
-        <_>
-          7 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 16 4 -1.</_>
-        <_>
-          9 3 8 2 2.</_>
-        <_>
-          1 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 14 2 -1.</_>
-        <_>
-          2 13 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 2 -1.</_>
-        <_>
-          13 0 1 1 2.</_>
-        <_>
-          12 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_>
-        <_>
-          5 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 2 -1.</_>
-        <_>
-          5 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 14 6 1 -1.</_>
-        <_>
-          14 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          5 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 16 6 -1.</_>
-        <_>
-          1 3 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 10 8 -1.</_>
-        <_>
-          8 7 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 11 8 -1.</_>
-        <_>
-          0 9 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 2 -1.</_>
-        <_>
-          12 8 1 1 2.</_>
-        <_>
-          11 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 16 1 -1.</_>
-        <_>
-          4 7 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 10 8 -1.</_>
-        <_>
-          8 7 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 10 8 -1.</_>
-        <_>
-          5 7 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 2 -1.</_>
-        <_>
-          5 8 1 1 2.</_>
-        <_>
-          6 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 7 18 8 -1.</_>
-        <_>
-          0 7 9 4 2.</_>
-        <_>
-          9 11 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 12 4 2 -1.</_>
-        <_>
-          15 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 4 2 -1.</_>
-        <_>
-          1 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          14 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          4 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 3 -1.</_>
-        <_>
-          13 3 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 3 -1.</_>
-        <_>
-          5 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 1 -1.</_>
-        <_>
-          16 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 3 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 5 -1.</_>
-        <_>
-          8 6 2 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 10 2 -1.</_>
-        <_>
-          11 9 5 1 2.</_>
-        <_>
-          6 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 5 8 -1.</_>
-        <_>
-          4 9 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 15 6 -1.</_>
-        <_>
-          2 7 15 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 15 -1.</_>
-        <_>
-          3 5 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          0 11 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 4 -1.</_>
-        <_>
-          9 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 6 -1.</_>
-        <_>
-          0 8 18 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 12 4 -1.</_>
-        <_>
-          3 12 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 6 1 -1.</_>
-        <_>
-          2 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 14 6 1 -1.</_>
-        <_>
-          14 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 1 -1.</_>
-        <_>
-          8 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 1 -1.</_>
-        <_>
-          6 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 14 6 1 -1.</_>
-        <_>
-          14 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 6 1 -1.</_>
-        <_>
-          2 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 10 2 -1.</_>
-        <_>
-          11 9 5 1 2.</_>
-        <_>
-          6 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 6 2 -1.</_>
-        <_>
-          4 9 3 1 2.</_>
-        <_>
-          7 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 9 -1.</_>
-        <_>
-          13 6 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 9 2 -1.</_>
-        <_>
-          5 6 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 2 -1.</_>
-        <_>
-          13 2 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 2 -1.</_>
-        <_>
-          7 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 3 -1.</_>
-        <_>
-          11 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 2 -1.</_>
-        <_>
-          7 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 1 -1.</_>
-        <_>
-          9 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 8 -1.</_>
-        <_>
-          4 4 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 3 -1.</_>
-        <_>
-          12 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 3 -1.</_>
-        <_>
-          6 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 2 -1.</_>
-        <_>
-          13 0 1 1 2.</_>
-        <_>
-          12 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_>
-        <_>
-          5 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 18 3 -1.</_>
-        <_>
-          0 13 18 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 1 -1.</_>
-        <_>
-          5 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 2 -1.</_>
-        <_>
-          11 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 2 -1.</_>
-        <_>
-          5 0 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 3 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 1 -1.</_>
-        <_>
-          11 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 1 -1.</_>
-        <_>
-          6 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          15 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 2 -1.</_>
-        <_>
-          3 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 2 -1.</_>
-        <_>
-          9 0 9 1 2.</_>
-        <_>
-          0 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 4 -1.</_>
-        <_>
-          0 4 9 2 2.</_>
-        <_>
-          9 6 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 4 2 -1.</_>
-        <_>
-          12 7 2 1 2.</_>
-        <_>
-          10 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 4 -1.</_>
-        <_>
-          5 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 4 2 -1.</_>
-        <_>
-          12 7 2 1 2.</_>
-        <_>
-          10 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 2 -1.</_>
-        <_>
-          6 8 1 1 2.</_>
-        <_>
-          7 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 8 -1.</_>
-        <_>
-          8 7 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 16 9 -1.</_>
-        <_>
-          1 7 16 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 6 -1.</_>
-        <_>
-          15 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 6 -1.</_>
-        <_>
-          0 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 11 -1.</_>
-        <_>
-          6 0 3 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 10 -1.</_>
-        <_>
-          8 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 4 -1.</_>
-        <_>
-          14 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 2 -1.</_>
-        <_>
-          9 5 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 2 -1.</_>
-        <_>
-          11 10 3 1 2.</_>
-        <_>
-          8 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 3 -1.</_>
-        <_>
-          10 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 3 -1.</_>
-        <_>
-          4 1 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 1 2 -1.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 8 2 -1.</_>
-        <_>
-          5 8 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 6 9 -1.</_>
-        <_>
-          13 8 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 6 9 -1.</_>
-        <_>
-          3 8 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 6 -1.</_>
-        <_>
-          9 8 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 3 -1.</_>
-        <_>
-          9 8 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 1 3 -1.</_>
-        <_>
-          10 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 1 3 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 4 -1.</_>
-        <_>
-          9 11 9 2 2.</_>
-        <_>
-          0 13 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 6 4 -1.</_>
-        <_>
-          7 11 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 12 -1.</_>
-        <_>
-          0 5 18 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 1 4 -1.</_>
-        <_>
-          0 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 3 3 -1.</_>
-        <_>
-          13 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 3 3 -1.</_>
-        <_>
-          4 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 4 -1.</_>
-        <_>
-          14 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 4 -1.</_>
-        <_>
-          4 1 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 8 4 -1.</_>
-        <_>
-          9 6 4 2 2.</_>
-        <_>
-          5 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 2 2 -1.</_>
-        <_>
-          3 11 1 1 2.</_>
-        <_>
-          4 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 2 -1.</_>
-        <_>
-          1 11 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 15 2 -1.</_>
-        <_>
-          1 14 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 1 2 -1.</_>
-        <_>
-          16 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 2 -1.</_>
-        <_>
-          0 8 2 1 2.</_>
-        <_>
-          2 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 4 -1.</_>
-        <_>
-          4 6 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 1 2 -1.</_>
-        <_>
-          4 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 7 -1.</_>
-        <_>
-          14 3 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 7 3 -1.</_>
-        <_>
-          4 3 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 2 7 -1.</_>
-        <_>
-          13 5 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 2 7 -1.</_>
-        <_>
-          4 5 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 2 -1.</_>
-        <_>
-          9 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 6 2 -1.</_>
-        <_>
-          6 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 6 -1.</_>
-        <_>
-          13 6 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 4 2 -1.</_>
-        <_>
-          5 10 2 1 2.</_>
-        <_>
-          7 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 4 2 -1.</_>
-        <_>
-          12 11 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 4 2 -1.</_>
-        <_>
-          4 11 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 1 2 -1.</_>
-        <_>
-          16 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 2 1 -1.</_>
-        <_>
-          2 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 3 -1.</_>
-        <_>
-          15 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 5 6 -1.</_>
-        <_>
-          0 6 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 3 -1.</_>
-        <_>
-          15 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 16 9 -1.</_>
-        <_>
-          1 6 16 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 2 -1.</_>
-        <_>
-          0 10 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 2 2 -1.</_>
-        <_>
-          1 11 1 1 2.</_>
-        <_>
-          2 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 13 2 2 -1.</_>
-        <_>
-          16 13 1 1 2.</_>
-        <_>
-          15 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 2 2 -1.</_>
-        <_>
-          1 13 1 1 2.</_>
-        <_>
-          2 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 13 2 2 -1.</_>
-        <_>
-          16 13 1 1 2.</_>
-        <_>
-          15 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 2 2 -1.</_>
-        <_>
-          1 13 1 1 2.</_>
-        <_>
-          2 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 4 -1.</_>
-        <_>
-          10 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 3 2 -1.</_>
-        <_>
-          3 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 2 -1.</_>
-        <_>
-          15 3 1 1 2.</_>
-        <_>
-          14 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 4 -1.</_>
-        <_>
-          6 2 3 2 2.</_>
-        <_>
-          9 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 3 -1.</_>
-        <_>
-          10 2 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 1 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 4 -1.</_>
-        <_>
-          12 1 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 2 -1.</_>
-        <_>
-          12 3 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 1 -1.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 6 4 -1.</_>
-        <_>
-          3 1 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 16 7 -1.</_>
-        <_>
-          5 1 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 9 -1.</_>
-        <_>
-          7 6 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 7 2 -1.</_>
-        <_>
-          6 9 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 3 -1.</_>
-        <_>
-          4 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 8 2 -1.</_>
-        <_>
-          9 3 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 8 5 -1.</_>
-        <_>
-          8 5 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 11 -1.</_>
-        <_>
-          8 0 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 6 5 -1.</_>
-        <_>
-          12 8 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 9 2 -1.</_>
-        <_>
-          3 1 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 6 5 -1.</_>
-        <_>
-          12 8 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 6 5 -1.</_>
-        <_>
-          3 8 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 2 -1.</_>
-        <_>
-          10 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 4 -1.</_>
-        <_>
-          9 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 2 -1.</_>
-        <_>
-          1 11 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 2 -1.</_>
-        <_>
-          3 2 6 1 2.</_>
-        <_>
-          9 3 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 2 -1.</_>
-        <_>
-          16 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 1 -1.</_>
-        <_>
-          7 0 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 9 2 -1.</_>
-        <_>
-          12 5 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 6 -1.</_>
-        <_>
-          16 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 6 -1.</_>
-        <_>
-          0 6 9 3 2.</_>
-        <_>
-          9 9 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 6 -1.</_>
-        <_>
-          9 1 9 3 2.</_>
-        <_>
-          0 4 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 1 -1.</_>
-        <_>
-          9 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 1 2 -1.</_>
-        <_>
-          9 5 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 1 -1.</_>
-        <_>
-          9 5 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 5 2 -1.</_>
-        <_>
-          7 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 1 3 -1.</_>
-        <_>
-          5 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 5 2 -1.</_>
-        <_>
-          7 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 3 -1.</_>
-        <_>
-          7 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 3 2 -1.</_>
-        <_>
-          11 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 4 -1.</_>
-        <_>
-          0 8 9 2 2.</_>
-        <_>
-          9 10 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 3 -1.</_>
-        <_>
-          16 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 3 -1.</_>
-        <_>
-          0 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 4 6 -1.</_>
-        <_>
-          11 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 2 -1.</_>
-        <_>
-          0 12 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 14 8 -1.</_>
-        <_>
-          2 7 14 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          8 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 4 6 -1.</_>
-        <_>
-          11 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          9 0 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 2 -1.</_>
-        <_>
-          9 1 2 1 2.</_>
-        <_>
-          7 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 4 6 -1.</_>
-        <_>
-          3 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 4 -1.</_>
-        <_>
-          9 6 3 2 2.</_>
-        <_>
-          6 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 6 3 -1.</_>
-        <_>
-          3 8 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 3 -1.</_>
-        <_>
-          9 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 6 -1.</_>
-        <_>
-          0 8 9 3 2.</_>
-        <_>
-          9 11 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 1 -1.</_>
-        <_>
-          10 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 5 -1.</_>
-        <_>
-          7 0 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 2 -1.</_>
-        <_>
-          10 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 1 -1.</_>
-        <_>
-          7 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 3 -1.</_>
-        <_>
-          11 2 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 3 6 -1.</_>
-        <_>
-          7 2 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 16 4 -1.</_>
-        <_>
-          9 3 8 2 2.</_>
-        <_>
-          1 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 4 -1.</_>
-        <_>
-          8 5 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 15 14 -1.</_>
-        <_>
-          8 0 5 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 10 -1.</_>
-        <_>
-          6 1 6 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 11 3 1 -1.</_>
-        <_>
-          16 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 11 1 3 -1.</_>
-        <_>
-          2 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 1 14 -1.</_>
-        <_>
-          15 7 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 6 -1.</_>
-        <_>
-          8 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 2 -1.</_>
-        <_>
-          7 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 4 -1.</_>
-        <_>
-          8 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 1 3 -1.</_>
-        <_>
-          12 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 9 9 -1.</_>
-        <_>
-          7 0 3 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 1 -1.</_>
-        <_>
-          10 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 3 -1.</_>
-        <_>
-          8 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 12 8 -1.</_>
-        <_>
-          6 7 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 3 -1.</_>
-        <_>
-          8 1 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 14 6 -1.</_>
-        <_>
-          2 6 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 6 -1.</_>
-        <_>
-          4 6 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 5 8 -1.</_>
-        <_>
-          12 5 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 5 8 -1.</_>
-        <_>
-          1 5 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          14 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          4 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 2 -1.</_>
-        <_>
-          11 0 5 1 2.</_>
-        <_>
-          6 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 2 -1.</_>
-        <_>
-          1 0 8 1 2.</_>
-        <_>
-          9 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 12 6 -1.</_>
-        <_>
-          9 3 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 3 -1.</_>
-        <_>
-          8 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 12 10 -1.</_>
-        <_>
-          6 1 6 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 6 2 -1.</_>
-        <_>
-          4 13 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 3 -1.</_>
-        <_>
-          11 1 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 6 -1.</_>
-        <_>
-          7 1 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 10 4 -1.</_>
-        <_>
-          8 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 10 4 -1.</_>
-        <_>
-          5 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 4 -1.</_>
-        <_>
-          16 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 16 2 -1.</_>
-        <_>
-          1 14 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 14 2 -1.</_>
-        <_>
-          2 14 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 4 -1.</_>
-        <_>
-          0 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 15 3 -1.</_>
-        <_>
-          2 8 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 8 -1.</_>
-        <_>
-          3 3 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 6 -1.</_>
-        <_>
-          9 6 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 6 3 -1.</_>
-        <_>
-          9 6 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 13 -1.</_>
-        <_>
-          10 0 4 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 7 -1.</_>
-        <_>
-          5 0 4 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 6 2 -1.</_>
-        <_>
-          13 9 3 1 2.</_>
-        <_>
-          10 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 2 -1.</_>
-        <_>
-          15 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 10 4 -1.</_>
-        <_>
-          5 2 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 8 -1.</_>
-        <_>
-          16 3 1 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 8 3 -1.</_>
-        <_>
-          2 3 8 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 2 -1.</_>
-        <_>
-          15 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 3 -1.</_>
-        <_>
-          3 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 5 2 4 -1.</_>
-        <_>
-          16 5 1 2 2.</_>
-        <_>
-          15 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 14 -1.</_>
-        <_>
-          3 7 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 3 -1.</_>
-        <_>
-          16 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 3 -1.</_>
-        <_>
-          0 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 2 4 -1.</_>
-        <_>
-          16 5 1 2 2.</_>
-        <_>
-          15 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 8 6 -1.</_>
-        <_>
-          1 3 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 6 -1.</_>
-        <_>
-          16 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 6 -1.</_>
-        <_>
-          0 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 3 -1.</_>
-        <_>
-          13 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          5 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 15 -1.</_>
-        <_>
-          3 0 6 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 4 7 -1.</_>
-        <_>
-          8 1 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 4 -1.</_>
-        <_>
-          10 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 3 -1.</_>
-        <_>
-          8 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 2 -1.</_>
-        <_>
-          17 3 1 1 2.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 2 -1.</_>
-        <_>
-          1 2 1 1 2.</_>
-        <_>
-          2 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_>
-        <_>
-          15 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 2 -1.</_>
-        <_>
-          1 2 1 1 2.</_>
-        <_>
-          2 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 1 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 9 4 -1.</_>
-        <_>
-          5 0 9 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 3 7 -1.</_>
-        <_>
-          11 3 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 7 3 -1.</_>
-        <_>
-          7 3 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 2 -1.</_>
-        <_>
-          17 3 1 1 2.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 2 2 -1.</_>
-        <_>
-          6 6 1 1 2.</_>
-        <_>
-          7 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 4 -1.</_>
-        <_>
-          7 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 10 6 -1.</_>
-        <_>
-          0 3 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 2 -1.</_>
-        <_>
-          17 3 1 1 2.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 12 8 -1.</_>
-        <_>
-          6 7 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 3 -1.</_>
-        <_>
-          6 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 5 -1.</_>
-        <_>
-          13 8 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 4 -1.</_>
-        <_>
-          7 7 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 12 8 -1.</_>
-        <_>
-          6 7 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 12 13 -1.</_>
-        <_>
-          6 2 6 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 6 -1.</_>
-        <_>
-          0 11 18 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 4 13 -1.</_>
-        <_>
-          3 2 2 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 1 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 9 -1.</_>
-        <_>
-          7 5 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 1 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 1 3 -1.</_>
-        <_>
-          7 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 8 6 -1.</_>
-        <_>
-          9 2 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 8 6 -1.</_>
-        <_>
-          5 2 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 1 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 2 -1.</_>
-        <_>
-          6 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 2 -1.</_>
-        <_>
-          10 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 2 -1.</_>
-        <_>
-          4 0 4 1 2.</_>
-        <_>
-          8 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 8 3 -1.</_>
-        <_>
-          9 12 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 16 1 -1.</_>
-        <_>
-          5 13 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 10 1 -1.</_>
-        <_>
-          7 13 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 10 1 -1.</_>
-        <_>
-          6 13 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 18 2 -1.</_>
-        <_>
-          0 13 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 3 2 -1.</_>
-        <_>
-          5 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_>
-        <_>
-          11 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 13 2 -1.</_>
-        <_>
-          1 13 13 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 3 6 -1.</_>
-        <_>
-          11 11 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 2 -1.</_>
-        <_>
-          9 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 3 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 9 8 4 -1.</_>
-        <_>
-          1 9 4 2 2.</_>
-        <_>
-          5 11 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 8 10 -1.</_>
-        <_>
-          14 5 4 5 2.</_>
-        <_>
-          10 10 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 3 2 -1.</_>
-        <_>
-          3 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 1 16 9 -1.</_>
-        <_>
-          1 4 16 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 2 -1.</_>
-        <_>
-          8 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 3 -1.</_>
-        <_>
-          14 2 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 12 6 3 -1.</_>
-        <_>
-          3 12 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 2 -1.</_>
-        <_>
-          12 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 4 4 -1.</_>
-        <_>
-          4 8 2 2 2.</_>
-        <_>
-          6 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 11 -1.</_>
-        <_>
-          9 0 3 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 1 -1.</_>
-        <_>
-          10 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 17 2 -1.</_>
-        <_>
-          0 10 17 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 6 -1.</_>
-        <_>
-          2 3 14 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 2 -1.</_>
-        <_>
-          0 13 1 1 2.</_>
-        <_>
-          1 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 10 10 -1.</_>
-        <_>
-          10 4 5 5 2.</_>
-        <_>
-          5 9 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 9 -1.</_>
-        <_>
-          7 4 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 5 6 -1.</_>
-        <_>
-          12 4 5 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 5 -1.</_>
-        <_>
-          6 4 3 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 2 -1.</_>
-        <_>
-          9 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 2 -1.</_>
-        <_>
-          8 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 3 -1.</_>
-        <_>
-          0 9 18 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          8 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          6 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 10 -1.</_>
-        <_>
-          12 10 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 4 -1.</_>
-        <_>
-          3 5 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 7 3 -1.</_>
-        <_>
-          5 6 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          13 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 4 -1.</_>
-        <_>
-          5 2 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 2 -1.</_>
-        <_>
-          17 3 1 1 2.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 2 -1.</_>
-        <_>
-          11 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 4 -1.</_>
-        <_>
-          7 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 3 -1.</_>
-        <_>
-          13 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 4 -1.</_>
-        <_>
-          0 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 2 3 -1.</_>
-        <_>
-          14 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 6 -1.</_>
-        <_>
-          0 6 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 2 3 -1.</_>
-        <_>
-          14 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 2 -1.</_>
-        <_>
-          4 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 4 -1.</_>
-        <_>
-          10 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 4 7 -1.</_>
-        <_>
-          3 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 4 -1.</_>
-        <_>
-          9 0 9 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 9 6 6 -1.</_>
-        <_>
-          3 11 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 10 -1.</_>
-        <_>
-          12 10 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 14 -1.</_>
-        <_>
-          5 0 5 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 9 -1.</_>
-        <_>
-          7 3 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 9 -1.</_>
-        <_>
-          9 0 2 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 1 -1.</_>
-        <_>
-          10 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 6 3 -1.</_>
-        <_>
-          7 4 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 8 -1.</_>
-        <_>
-          7 0 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 3 -1.</_>
-        <_>
-          4 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 2 -1.</_>
-        <_>
-          10 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 14 2 1 -1.</_>
-        <_>
-          4 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 2 -1.</_>
-        <_>
-          10 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 3 -1.</_>
-        <_>
-          8 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 5 16 6 -1.</_>
-        <_>
-          1 7 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 9 -1.</_>
-        <_>
-          0 6 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 6 4 -1.</_>
-        <_>
-          13 8 3 2 2.</_>
-        <_>
-          10 10 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 6 4 -1.</_>
-        <_>
-          2 8 3 2 2.</_>
-        <_>
-          5 10 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 16 6 -1.</_>
-        <_>
-          5 4 8 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 2 1 -1.</_>
-        <_>
-          7 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 2 -1.</_>
-        <_>
-          9 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 6 4 -1.</_>
-        <_>
-          2 8 3 2 2.</_>
-        <_>
-          5 10 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 10 -1.</_>
-        <_>
-          15 3 1 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 10 2 -1.</_>
-        <_>
-          3 3 10 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 12 18 2 -1.</_>
-        <_>
-          9 12 9 1 2.</_>
-        <_>
-          0 13 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 6 4 -1.</_>
-        <_>
-          5 9 3 2 2.</_>
-        <_>
-          8 11 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          16 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 7 7 8 -1.</_>
-        <_>
-          0 11 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          2 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 15 -1.</_>
-        <_>
-          15 0 1 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 3 15 -1.</_>
-        <_>
-          2 0 1 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 4 -1.</_>
-        <_>
-          17 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 14 8 1 -1.</_>
-        <_>
-          5 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 1 8 -1.</_>
-        <_>
-          17 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 6 -1.</_>
-        <_>
-          0 11 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 4 -1.</_>
-        <_>
-          8 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 8 -1.</_>
-        <_>
-          1 0 5 4 2.</_>
-        <_>
-          6 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 12 -1.</_>
-        <_>
-          16 6 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 12 -1.</_>
-        <_>
-          0 6 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 1 2 -1.</_>
-        <_>
-          17 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          9 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 1 -1.</_>
-        <_>
-          7 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 10 8 -1.</_>
-        <_>
-          3 4 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 16 2 -1.</_>
-        <_>
-          1 8 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 12 -1.</_>
-        <_>
-          3 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 2 -1.</_>
-        <_>
-          16 3 1 1 2.</_>
-        <_>
-          15 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 2 2 -1.</_>
-        <_>
-          1 3 1 1 2.</_>
-        <_>
-          2 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 4 -1.</_>
-        <_>
-          16 3 1 2 2.</_>
-        <_>
-          15 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 2 -1.</_>
-        <_>
-          0 1 9 1 2.</_>
-        <_>
-          9 2 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 3 -1.</_>
-        <_>
-          15 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 3 3 -1.</_>
-        <_>
-          2 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 4 7 -1.</_>
-        <_>
-          13 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 2 1 -1.</_>
-        <_>
-          1 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 10 -1.</_>
-        <_>
-          17 4 1 5 2.</_>
-        <_>
-          16 9 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 10 -1.</_>
-        <_>
-          0 4 1 5 2.</_>
-        <_>
-          1 9 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 1 -1.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 1 -1.</_>
-        <_>
-          1 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 1 -1.</_>
-        <_>
-          16 6 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 1 2 -1.</_>
-        <_>
-          2 6 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 8 4 7 -1.</_>
-        <_>
-          13 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 4 7 -1.</_>
-        <_>
-          3 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 4 -1.</_>
-        <_>
-          9 9 9 2 2.</_>
-        <_>
-          0 11 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 2 -1.</_>
-        <_>
-          9 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 8 4 -1.</_>
-        <_>
-          12 7 4 2 2.</_>
-        <_>
-          8 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 9 3 -1.</_>
-        <_>
-          1 13 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 13 1 2 -1.</_>
-        <_>
-          13 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 18 2 -1.</_>
-        <_>
-          0 13 9 1 2.</_>
-        <_>
-          9 14 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 8 4 -1.</_>
-        <_>
-          7 13 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 18 4 -1.</_>
-        <_>
-          0 7 9 2 2.</_>
-        <_>
-          9 9 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 9 6 -1.</_>
-        <_>
-          5 4 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 4 -1.</_>
-        <_>
-          6 5 3 2 2.</_>
-        <_>
-          9 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 9 -1.</_>
-        <_>
-          9 3 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          7 0 2 2 2.</_>
-        <_>
-          9 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 6 -1.</_>
-        <_>
-          4 2 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 3 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 3 1 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 15 -1.</_>
-        <_>
-          11 5 1 5 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 15 -1.</_>
-        <_>
-          6 5 1 5 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 4 -1.</_>
-        <_>
-          16 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 17 10 -1.</_>
-        <_>
-          0 5 17 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 10 -1.</_>
-        <_>
-          12 5 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_>
-        <_>
-          15 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 9 6 -1.</_>
-        <_>
-          6 5 3 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 11 2 -1.</_>
-        <_>
-          6 4 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 2 -1.</_>
-        <_>
-          1 2 1 1 2.</_>
-        <_>
-          2 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 2 -1.</_>
-        <_>
-          14 1 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 2 4 -1.</_>
-        <_>
-          4 1 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 6 -1.</_>
-        <_>
-          6 6 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 4 -1.</_>
-        <_>
-          13 1 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 8 4 -1.</_>
-        <_>
-          0 9 4 2 2.</_>
-        <_>
-          4 11 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 3 -1.</_>
-        <_>
-          16 9 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 7 14 4 -1.</_>
-        <_>
-          2 9 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 4 -1.</_>
-        <_>
-          9 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 15 -1.</_>
-        <_>
-          2 0 7 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 14 4 -1.</_>
-        <_>
-          1 9 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 8 7 -1.</_>
-        <_>
-          11 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 4 -1.</_>
-        <_>
-          5 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 6 9 8 -1.</_>
-        <_>
-          11 6 3 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 9 8 -1.</_>
-        <_>
-          4 6 3 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 2 -1.</_>
-        <_>
-          7 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          7 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 2 -1.</_>
-        <_>
-          11 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 14 -1.</_>
-        <_>
-          0 1 9 7 2.</_>
-        <_>
-          9 8 9 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 2 -1.</_>
-        <_>
-          11 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 2 -1.</_>
-        <_>
-          5 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 6 -1.</_>
-        <_>
-          4 4 5 3 2.</_>
-        <_>
-          9 7 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_>
-        <_>
-          8 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 1 1 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 3 2 -1.</_>
-        <_>
-          3 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 10 -1.</_>
-        <_>
-          16 8 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 10 -1.</_>
-        <_>
-          0 8 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_>
-        <_>
-          8 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 10 2 -1.</_>
-        <_>
-          1 7 5 1 2.</_>
-        <_>
-          6 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          9 0 9 4 2.</_>
-        <_>
-          0 4 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 4 -1.</_>
-        <_>
-          3 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 4 -1.</_>
-        <_>
-          11 5 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 4 -1.</_>
-        <_>
-          7 5 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 10 -1.</_>
-        <_>
-          16 1 1 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 9 -1.</_>
-        <_>
-          7 0 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 10 -1.</_>
-        <_>
-          16 1 1 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 10 2 -1.</_>
-        <_>
-          2 1 10 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 2 -1.</_>
-        <_>
-          14 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 6 -1.</_>
-        <_>
-          6 0 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 4 -1.</_>
-        <_>
-          9 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          6 6 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 12 7 -1.</_>
-        <_>
-          6 3 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 7 -1.</_>
-        <_>
-          6 3 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 2 -1.</_>
-        <_>
-          14 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 3 -1.</_>
-        <_>
-          4 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 4 -1.</_>
-        <_>
-          0 11 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 8 -1.</_>
-        <_>
-          9 6 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 5 14 6 -1.</_>
-        <_>
-          2 7 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 5 8 -1.</_>
-        <_>
-          2 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 4 -1.</_>
-        <_>
-          4 5 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          9 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 1 3 -1.</_>
-        <_>
-          14 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 3 4 -1.</_>
-        <_>
-          3 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 8 10 -1.</_>
-        <_>
-          13 4 4 5 2.</_>
-        <_>
-          9 9 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 3 3 -1.</_>
-        <_>
-          4 9 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 1 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 1 2 -1.</_>
-        <_>
-          4 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 10 -1.</_>
-        <_>
-          8 9 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 4 -1.</_>
-        <_>
-          7 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 10 -1.</_>
-        <_>
-          14 0 1 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 2 -1.</_>
-        <_>
-          4 0 10 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 3 -1.</_>
-        <_>
-          15 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 12 9 3 -1.</_>
-        <_>
-          7 12 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 3 -1.</_>
-        <_>
-          15 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 14 4 -1.</_>
-        <_>
-          2 3 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 2 -1.</_>
-        <_>
-          9 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 12 4 -1.</_>
-        <_>
-          1 3 6 2 2.</_>
-        <_>
-          7 5 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 2 -1.</_>
-        <_>
-          9 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 8 2 -1.</_>
-        <_>
-          5 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 4 -1.</_>
-        <_>
-          16 9 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 4 3 -1.</_>
-        <_>
-          2 9 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 12 2 3 -1.</_>
-        <_>
-          15 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 4 -1.</_>
-        <_>
-          0 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 12 2 3 -1.</_>
-        <_>
-          15 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 2 3 -1.</_>
-        <_>
-          1 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 8 -1.</_>
-        <_>
-          8 2 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 8 -1.</_>
-        <_>
-          9 0 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 12 1 -1.</_>
-        <_>
-          8 14 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 4 -1.</_>
-        <_>
-          8 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          8 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 8 2 -1.</_>
-        <_>
-          8 14 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 4 -1.</_>
-        <_>
-          0 11 9 2 2.</_>
-        <_>
-          9 13 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 8 2 -1.</_>
-        <_>
-          13 9 4 1 2.</_>
-        <_>
-          9 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 8 2 -1.</_>
-        <_>
-          13 9 4 1 2.</_>
-        <_>
-          9 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 8 2 -1.</_>
-        <_>
-          1 9 4 1 2.</_>
-        <_>
-          5 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 3 -1.</_>
-        <_>
-          10 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 3 1 -1.</_>
-        <_>
-          8 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 8 -1.</_>
-        <_>
-          8 2 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 3 -1.</_>
-        <_>
-          10 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 7 8 2 -1.</_>
-        <_>
-          5 8 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 9 9 -1.</_>
-        <_>
-          7 4 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 7 -1.</_>
-        <_>
-          11 4 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 7 3 -1.</_>
-        <_>
-          7 4 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 2 -1.</_>
-        <_>
-          7 6 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 6 -1.</_>
-        <_>
-          7 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 6 -1.</_>
-        <_>
-          9 2 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 3 -1.</_>
-        <_>
-          11 5 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 14 12 1 -1.</_>
-        <_>
-          8 14 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 14 12 1 -1.</_>
-        <_>
-          4 14 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 16 6 -1.</_>
-        <_>
-          1 9 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 4 -1.</_>
-        <_>
-          0 11 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 1 -1.</_>
-        <_>
-          15 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 1 4 -1.</_>
-        <_>
-          8 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          15 2 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 2 4 -1.</_>
-        <_>
-          2 6 1 2 2.</_>
-        <_>
-          3 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 10 -1.</_>
-        <_>
-          15 10 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 6 4 -1.</_>
-        <_>
-          3 9 3 2 2.</_>
-        <_>
-          6 11 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 7 -1.</_>
-        <_>
-          14 4 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 7 4 -1.</_>
-        <_>
-          5 3 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 3 -1.</_>
-        <_>
-          14 2 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 8 3 -1.</_>
-        <_>
-          0 5 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 3 5 -1.</_>
-        <_>
-          15 5 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 5 2 -1.</_>
-        <_>
-          5 4 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 6 -1.</_>
-        <_>
-          8 9 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 1 -1.</_>
-        <_>
-          10 9 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 6 10 -1.</_>
-        <_>
-          13 4 3 5 2.</_>
-        <_>
-          10 9 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 6 10 -1.</_>
-        <_>
-          2 4 3 5 2.</_>
-        <_>
-          5 9 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 10 2 -1.</_>
-        <_>
-          9 5 5 1 2.</_>
-        <_>
-          4 6 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 3 6 -1.</_>
-        <_>
-          7 3 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 4 -1.</_>
-        <_>
-          0 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 10 4 -1.</_>
-        <_>
-          8 2 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 4 -1.</_>
-        <_>
-          0 0 9 2 2.</_>
-        <_>
-          9 2 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 2 -1.</_>
-        <_>
-          9 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 2 -1.</_>
-        <_>
-          3 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 1 3 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 12 6 -1.</_>
-        <_>
-          3 4 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 1 3 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 1 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 3 1 3 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 3 1 -1.</_>
-        <_>
-          2 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 1 -1.</_>
-        <_>
-          16 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 1 3 -1.</_>
-        <_>
-          2 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 14 6 -1.</_>
-        <_>
-          2 5 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 8 -1.</_>
-        <_>
-          4 6 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 3 -1.</_>
-        <_>
-          13 3 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 4 -1.</_>
-        <_>
-          5 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 2 4 13 -1.</_>
-        <_>
-          13 2 2 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 4 13 -1.</_>
-        <_>
-          3 2 2 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 8 3 -1.</_>
-        <_>
-          9 4 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 8 -1.</_>
-        <_>
-          9 4 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 10 1 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 13 -1.</_>
-        <_>
-          9 0 3 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 10 -1.</_>
-        <_>
-          0 6 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 2 -1.</_>
-        <_>
-          0 12 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 6 -1.</_>
-        <_>
-          5 9 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 5 -1.</_>
-        <_>
-          12 7 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 2 1 -1.</_>
-        <_>
-          7 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 2 -1.</_>
-        <_>
-          11 2 3 1 2.</_>
-        <_>
-          8 3 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 3 1 -1.</_>
-        <_>
-          5 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 14 -1.</_>
-        <_>
-          9 1 9 7 2.</_>
-        <_>
-          0 8 9 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 6 6 -1.</_>
-        <_>
-          0 9 3 3 2.</_>
-        <_>
-          3 12 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 10 6 -1.</_>
-        <_>
-          13 9 5 3 2.</_>
-        <_>
-          8 12 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 15 3 -1.</_>
-        <_>
-          1 11 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 1 2 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 9 2 -1.</_>
-        <_>
-          7 7 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 2 -1.</_>
-        <_>
-          7 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 4 2 -1.</_>
-        <_>
-          2 7 2 1 2.</_>
-        <_>
-          4 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 5 2 -1.</_>
-        <_>
-          8 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 4 11 -1.</_>
-        <_>
-          7 2 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_>
-        <_>
-          11 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 4 -1.</_>
-        <_>
-          8 8 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 1 -1.</_>
-        <_>
-          7 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 8 -1.</_>
-        <_>
-          4 0 3 4 2.</_>
-        <_>
-          7 4 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 9 9 -1.</_>
-        <_>
-          8 4 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 4 10 -1.</_>
-        <_>
-          0 9 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 1 2 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 16 4 -1.</_>
-        <_>
-          1 8 16 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 1 2 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 11 2 1 -1.</_>
-        <_>
-          2 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 13 14 2 -1.</_>
-        <_>
-          2 14 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 4 2 -1.</_>
-        <_>
-          0 13 2 1 2.</_>
-        <_>
-          2 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 2 -1.</_>
-        <_>
-          15 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 2 -1.</_>
-        <_>
-          5 9 1 1 2.</_>
-        <_>
-          6 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 2 -1.</_>
-        <_>
-          6 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 2 -1.</_>
-        <_>
-          0 6 9 1 2.</_>
-        <_>
-          9 7 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 13 2 2 -1.</_>
-        <_>
-          15 13 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 4 -1.</_>
-        <_>
-          9 8 9 2 2.</_>
-        <_>
-          0 10 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 4 -1.</_>
-        <_>
-          8 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 9 -1.</_>
-        <_>
-          7 7 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 7 -1.</_>
-        <_>
-          9 1 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 2 -1.</_>
-        <_>
-          12 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 4 -1.</_>
-        <_>
-          6 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 2 -1.</_>
-        <_>
-          12 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 4 -1.</_>
-        <_>
-          15 1 2 2 2.</_>
-        <_>
-          13 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 1 -1.</_>
-        <_>
-          3 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 2 -1.</_>
-        <_>
-          15 0 1 1 2.</_>
-        <_>
-          14 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_>
-        <_>
-          3 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 2 -1.</_>
-        <_>
-          15 0 1 1 2.</_>
-        <_>
-          14 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_>
-        <_>
-          3 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 4 -1.</_>
-        <_>
-          16 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 6 2 -1.</_>
-        <_>
-          3 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 6 -1.</_>
-        <_>
-          17 1 1 3 2.</_>
-        <_>
-          16 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 2 2 -1.</_>
-        <_>
-          2 13 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 6 -1.</_>
-        <_>
-          17 1 1 3 2.</_>
-        <_>
-          16 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 4 -1.</_>
-        <_>
-          5 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          15 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          3 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 2 3 3 -1.</_>
-        <_>
-          11 3 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 3 -1.</_>
-        <_>
-          4 3 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 1 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 2 -1.</_>
-        <_>
-          7 3 1 1 2.</_>
-        <_>
-          8 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 2 -1.</_>
-        <_>
-          6 9 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 9 3 -1.</_>
-        <_>
-          3 10 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 10 1 -1.</_>
-        <_>
-          6 12 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 8 3 -1.</_>
-        <_>
-          6 12 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 12 4 2 -1.</_>
-        <_>
-          14 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 3 4 -1.</_>
-        <_>
-          4 12 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 10 2 2 -1.</_>
-        <_>
-          13 10 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 10 2 2 -1.</_>
-        <_>
-          5 10 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 9 -1.</_>
-        <_>
-          13 2 2 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 8 3 -1.</_>
-        <_>
-          8 4 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 9 -1.</_>
-        <_>
-          13 2 2 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 9 6 -1.</_>
-        <_>
-          5 2 9 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 2 -1.</_>
-        <_>
-          10 3 1 1 2.</_>
-        <_>
-          9 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 10 13 -1.</_>
-        <_>
-          8 2 5 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          5 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 7 8 -1.</_>
-        <_>
-          5 2 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 1 3 -1.</_>
-        <_>
-          8 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 2 -1.</_>
-        <_>
-          0 10 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 17 4 -1.</_>
-        <_>
-          0 9 17 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 6 9 -1.</_>
-        <_>
-          12 9 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 3 3 -1.</_>
-        <_>
-          2 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 2 -1.</_>
-        <_>
-          12 8 1 1 2.</_>
-        <_>
-          11 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 4 -1.</_>
-        <_>
-          0 10 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 3 -1.</_>
-        <_>
-          9 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 2 -1.</_>
-        <_>
-          0 4 9 1 2.</_>
-        <_>
-          9 5 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 4 -1.</_>
-        <_>
-          11 2 6 2 2.</_>
-        <_>
-          5 4 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 12 4 -1.</_>
-        <_>
-          1 2 6 2 2.</_>
-        <_>
-          7 4 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 1 8 -1.</_>
-        <_>
-          13 6 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 8 1 -1.</_>
-        <_>
-          5 6 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 8 2 -1.</_>
-        <_>
-          13 8 4 1 2.</_>
-        <_>
-          9 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 6 2 -1.</_>
-        <_>
-          4 8 3 1 2.</_>
-        <_>
-          7 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 2 -1.</_>
-        <_>
-          9 3 6 1 2.</_>
-        <_>
-          3 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 1 4 -1.</_>
-        <_>
-          4 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 6 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 3 14 -1.</_>
-        <_>
-          1 1 1 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 3 -1.</_>
-        <_>
-          15 7 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 2 -1.</_>
-        <_>
-          4 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 6 -1.</_>
-        <_>
-          17 1 1 3 2.</_>
-        <_>
-          16 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 6 -1.</_>
-        <_>
-          0 1 1 3 2.</_>
-        <_>
-          1 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 7 -1.</_>
-        <_>
-          9 0 3 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 9 7 -1.</_>
-        <_>
-          6 0 3 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 6 -1.</_>
-        <_>
-          9 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 1 -1.</_>
-        <_>
-          9 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 5 4 -1.</_>
-        <_>
-          11 5 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 6 -1.</_>
-        <_>
-          7 2 9 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 6 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 7 -1.</_>
-        <_>
-          9 3 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 4 6 -1.</_>
-        <_>
-          10 3 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 14 -1.</_>
-        <_>
-          4 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 16 3 -1.</_>
-        <_>
-          1 7 16 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 6 3 -1.</_>
-        <_>
-          7 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 8 2 -1.</_>
-        <_>
-          13 8 4 1 2.</_>
-        <_>
-          9 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 8 2 -1.</_>
-        <_>
-          1 8 4 1 2.</_>
-        <_>
-          5 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 2 -1.</_>
-        <_>
-          7 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 4 -1.</_>
-        <_>
-          0 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 2 -1.</_>
-        <_>
-          11 8 1 1 2.</_>
-        <_>
-          10 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 5 8 -1.</_>
-        <_>
-          6 6 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 16 6 -1.</_>
-        <_>
-          1 10 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 2 -1.</_>
-        <_>
-          6 8 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 1 -1.</_>
-        <_>
-          10 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 2 -1.</_>
-        <_>
-          9 4 9 1 2.</_>
-        <_>
-          0 5 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 5 -1.</_>
-        <_>
-          1 9 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 3 -1.</_>
-        <_>
-          16 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 5 3 1 -1.</_>
-        <_>
-          2 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 6 1 4 -1.</_>
-        <_>
-          17 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 4 -1.</_>
-        <_>
-          0 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 6 -1.</_>
-        <_>
-          14 5 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 6 -1.</_>
-        <_>
-          0 5 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 6 6 -1.</_>
-        <_>
-          9 9 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 16 3 -1.</_>
-        <_>
-          6 9 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 2 -1.</_>
-        <_>
-          4 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 3 -1.</_>
-        <_>
-          14 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 3 -1.</_>
-        <_>
-          4 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 3 10 -1.</_>
-        <_>
-          11 2 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 5 -1.</_>
-        <_>
-          4 2 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 2 2 -1.</_>
-        <_>
-          13 4 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 2 -1.</_>
-        <_>
-          5 4 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 6 -1.</_>
-        <_>
-          9 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 3 1 -1.</_>
-        <_>
-          7 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 6 -1.</_>
-        <_>
-          10 8 1 3 2.</_>
-        <_>
-          9 11 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 4 2 -1.</_>
-        <_>
-          8 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 7 -1.</_>
-        <_>
-          10 1 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          6 3 3 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 3 -1.</_>
-        <_>
-          0 9 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 3 -1.</_>
-        <_>
-          8 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 6 16 3 -1.</_>
-        <_>
-          1 7 16 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 1 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 3 3 -1.</_>
-        <_>
-          8 10 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 3 -1.</_>
-        <_>
-          17 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 3 -1.</_>
-        <_>
-          0 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 4 6 -1.</_>
-        <_>
-          13 5 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 4 6 -1.</_>
-        <_>
-          1 5 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 11 -1.</_>
-        <_>
-          8 0 4 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 12 14 -1.</_>
-        <_>
-          6 1 6 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 8 9 -1.</_>
-        <_>
-          12 5 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 18 2 -1.</_>
-        <_>
-          9 12 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 2 1 -1.</_>
-        <_>
-          8 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 2 -1.</_>
-        <_>
-          8 13 1 1 2.</_>
-        <_>
-          9 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 4 4 -1.</_>
-        <_>
-          10 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 4 4 -1.</_>
-        <_>
-          6 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 9 -1.</_>
-        <_>
-          7 5 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 6 3 -1.</_>
-        <_>
-          11 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 8 4 -1.</_>
-        <_>
-          4 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 2 -1.</_>
-        <_>
-          14 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 2 -1.</_>
-        <_>
-          8 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 2 -1.</_>
-        <_>
-          10 6 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 4 2 -1.</_>
-        <_>
-          2 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 2 -1.</_>
-        <_>
-          11 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 3 -1.</_>
-        <_>
-          7 7 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 2 -1.</_>
-        <_>
-          11 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 4 -1.</_>
-        <_>
-          8 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 6 -1.</_>
-        <_>
-          5 6 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 4 -1.</_>
-        <_>
-          13 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 10 4 -1.</_>
-        <_>
-          4 7 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 14 6 1 -1.</_>
-        <_>
-          12 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 6 -1.</_>
-        <_>
-          5 3 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 2 -1.</_>
-        <_>
-          7 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          0 11 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 12 -1.</_>
-        <_>
-          14 9 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 3 -1.</_>
-        <_>
-          3 1 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 2 -1.</_>
-        <_>
-          9 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 14 6 1 -1.</_>
-        <_>
-          4 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 1 -1.</_>
-        <_>
-          6 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 10 15 -1.</_>
-        <_>
-          8 0 5 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 10 15 -1.</_>
-        <_>
-          5 0 5 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 1 14 -1.</_>
-        <_>
-          15 7 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 9 2 -1.</_>
-        <_>
-          12 4 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 1 14 -1.</_>
-        <_>
-          15 7 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 10 -1.</_>
-        <_>
-          3 5 6 5 2.</_>
-        <_>
-          9 10 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 2 -1.</_>
-        <_>
-          9 0 8 1 2.</_>
-        <_>
-          1 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 3 -1.</_>
-        <_>
-          0 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          13 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          0 0 9 5 2.</_>
-        <_>
-          9 5 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 2 -1.</_>
-        <_>
-          10 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 8 -1.</_>
-        <_>
-          9 0 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 4 1 -1.</_>
-        <_>
-          8 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 4 1 -1.</_>
-        <_>
-          8 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 15 2 -1.</_>
-        <_>
-          3 13 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 18 8 -1.</_>
-        <_>
-          0 9 18 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 6 -1.</_>
-        <_>
-          11 6 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 2 3 -1.</_>
-        <_>
-          2 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 3 -1.</_>
-        <_>
-          14 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 3 3 -1.</_>
-        <_>
-          4 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 3 -1.</_>
-        <_>
-          14 3 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 3 -1.</_>
-        <_>
-          4 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          10 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          5 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 10 -1.</_>
-        <_>
-          3 5 6 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 4 -1.</_>
-        <_>
-          9 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 5 -1.</_>
-        <_>
-          8 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 6 -1.</_>
-        <_>
-          0 1 9 3 2.</_>
-        <_>
-          9 4 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 2 -1.</_>
-        <_>
-          6 7 3 1 2.</_>
-        <_>
-          9 8 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 6 -1.</_>
-        <_>
-          12 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 2 -1.</_>
-        <_>
-          5 9 2 1 2.</_>
-        <_>
-          7 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          10 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 3 -1.</_>
-        <_>
-          8 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          15 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 6 -1.</_>
-        <_>
-          8 0 9 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 8 2 -1.</_>
-        <_>
-          10 9 4 1 2.</_>
-        <_>
-          6 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 8 2 -1.</_>
-        <_>
-          4 9 4 1 2.</_>
-        <_>
-          8 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 1 14 -1.</_>
-        <_>
-          15 7 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 14 -1.</_>
-        <_>
-          2 7 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 3 -1.</_>
-        <_>
-          17 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 2 -1.</_>
-        <_>
-          6 8 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 1 4 -1.</_>
-        <_>
-          17 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 8 -1.</_>
-        <_>
-          14 6 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 16 2 -1.</_>
-        <_>
-          1 10 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 8 6 -1.</_>
-        <_>
-          5 10 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 16 8 -1.</_>
-        <_>
-          0 2 8 4 2.</_>
-        <_>
-          8 6 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 4 -1.</_>
-        <_>
-          16 10 2 2 2.</_>
-        <_>
-          14 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 3 -1.</_>
-        <_>
-          0 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 4 -1.</_>
-        <_>
-          16 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 1 4 -1.</_>
-        <_>
-          0 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 6 -1.</_>
-        <_>
-          0 11 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 8 2 -1.</_>
-        <_>
-          3 0 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 10 6 -1.</_>
-        <_>
-          13 9 5 3 2.</_>
-        <_>
-          8 12 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 12 1 -1.</_>
-        <_>
-          5 12 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 8 -1.</_>
-        <_>
-          11 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 8 4 2 -1.</_>
-        <_>
-          1 8 2 1 2.</_>
-        <_>
-          3 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 2 6 -1.</_>
-        <_>
-          12 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 8 -1.</_>
-        <_>
-          9 0 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 2 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 11 3 4 -1.</_>
-        <_>
-          13 12 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 3 4 -1.</_>
-        <_>
-          2 12 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 7 2 -1.</_>
-        <_>
-          8 14 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 3 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          15 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          3 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 3 -1.</_>
-        <_>
-          14 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 3 -1.</_>
-        <_>
-          2 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 4 -1.</_>
-        <_>
-          16 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 4 -1.</_>
-        <_>
-          1 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 4 -1.</_>
-        <_>
-          3 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 6 -1.</_>
-        <_>
-          0 6 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 2 -1.</_>
-        <_>
-          7 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 16 2 -1.</_>
-        <_>
-          1 9 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 8 2 -1.</_>
-        <_>
-          3 4 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 9 11 -1.</_>
-        <_>
-          9 0 3 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 11 -1.</_>
-        <_>
-          7 0 6 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 11 -1.</_>
-        <_>
-          5 0 6 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 6 4 -1.</_>
-        <_>
-          11 2 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 2 2 -1.</_>
-        <_>
-          5 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 6 -1.</_>
-        <_>
-          8 5 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 8 4 -1.</_>
-        <_>
-          4 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 2 8 -1.</_>
-        <_>
-          9 3 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 14 -1.</_>
-        <_>
-          0 1 9 7 2.</_>
-        <_>
-          9 8 9 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 5 10 -1.</_>
-        <_>
-          13 10 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 2 -1.</_>
-        <_>
-          11 5 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 7 8 -1.</_>
-        <_>
-          7 2 7 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 7 -1.</_>
-        <_>
-          11 2 4 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 2 4 3 -1.</_>
-        <_>
-          12 3 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 3 4 -1.</_>
-        <_>
-          6 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 3 -1.</_>
-        <_>
-          10 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 13 6 -1.</_>
-        <_>
-          2 5 13 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 3 -1.</_>
-        <_>
-          8 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 6 -1.</_>
-        <_>
-          0 6 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 16 2 -1.</_>
-        <_>
-          1 10 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 6 4 -1.</_>
-        <_>
-          5 5 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 8 -1.</_>
-        <_>
-          13 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 8 -1.</_>
-        <_>
-          3 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 3 -1.</_>
-        <_>
-          15 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 3 1 -1.</_>
-        <_>
-          2 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 4 5 10 -1.</_>
-        <_>
-          13 9 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 5 10 -1.</_>
-        <_>
-          0 9 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 3 -1.</_>
-        <_>
-          15 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 5 3 2 -1.</_>
-        <_>
-          3 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 4 -1.</_>
-        <_>
-          14 10 4 2 2.</_>
-        <_>
-          10 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 4 9 -1.</_>
-        <_>
-          3 5 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 8 9 -1.</_>
-        <_>
-          10 1 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 8 9 -1.</_>
-        <_>
-          4 1 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 4 -1.</_>
-        <_>
-          14 10 4 2 2.</_>
-        <_>
-          10 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 8 4 -1.</_>
-        <_>
-          0 9 4 2 2.</_>
-        <_>
-          4 11 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 14 2 -1.</_>
-        <_>
-          10 0 7 1 2.</_>
-        <_>
-          3 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 18 2 -1.</_>
-        <_>
-          0 13 9 1 2.</_>
-        <_>
-          9 14 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 1 2 -1.</_>
-        <_>
-          11 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 8 2 -1.</_>
-        <_>
-          3 14 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 13 10 2 -1.</_>
-        <_>
-          9 13 5 1 2.</_>
-        <_>
-          4 14 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 2 -1.</_>
-        <_>
-          6 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 9 -1.</_>
-        <_>
-          14 0 2 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 9 4 -1.</_>
-        <_>
-          4 0 9 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 3 -1.</_>
-        <_>
-          8 6 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 3 2 -1.</_>
-        <_>
-          3 10 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 7 2 -1.</_>
-        <_>
-          6 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 1 2 -1.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          10 5 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 6 -1.</_>
-        <_>
-          5 0 5 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 9 14 -1.</_>
-        <_>
-          10 0 3 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 15 -1.</_>
-        <_>
-          6 0 6 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          10 5 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 8 4 -1.</_>
-        <_>
-          0 11 4 2 2.</_>
-        <_>
-          4 13 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 3 -1.</_>
-        <_>
-          16 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 4 -1.</_>
-        <_>
-          0 10 4 2 2.</_>
-        <_>
-          4 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 2 -1.</_>
-        <_>
-          12 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 2 -1.</_>
-        <_>
-          4 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_>
-        <_>
-          9 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 11 4 -1.</_>
-        <_>
-          0 13 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          10 5 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 4 -1.</_>
-        <_>
-          8 5 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 3 -1.</_>
-        <_>
-          10 4 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 4 -1.</_>
-        <_>
-          6 4 3 2 2.</_>
-        <_>
-          9 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 9 -1.</_>
-        <_>
-          10 4 1 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 9 3 -1.</_>
-        <_>
-          8 4 9 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 3 -1.</_>
-        <_>
-          16 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 2 -1.</_>
-        <_>
-          3 0 5 1 2.</_>
-        <_>
-          8 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 13 -1.</_>
-        <_>
-          14 1 1 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 2 -1.</_>
-        <_>
-          3 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 8 -1.</_>
-        <_>
-          14 10 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 4 8 -1.</_>
-        <_>
-          0 10 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 13 -1.</_>
-        <_>
-          2 0 2 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 12 1 -1.</_>
-        <_>
-          9 14 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 9 2 -1.</_>
-        <_>
-          10 5 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 12 -1.</_>
-        <_>
-          6 5 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 4 -1.</_>
-        <_>
-          9 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 4 -1.</_>
-        <_>
-          11 5 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 1 -1.</_>
-        <_>
-          4 0 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 5 10 -1.</_>
-        <_>
-          10 7 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 5 10 -1.</_>
-        <_>
-          3 7 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 14 6 -1.</_>
-        <_>
-          2 4 14 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 5 3 -1.</_>
-        <_>
-          4 5 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 15 3 -1.</_>
-        <_>
-          7 2 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 3 -1.</_>
-        <_>
-          6 2 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 12 9 -1.</_>
-        <_>
-          8 5 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 11 -1.</_>
-        <_>
-          10 0 2 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 3 1 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 6 -1.</_>
-        <_>
-          16 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 1 2 -1.</_>
-        <_>
-          0 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 2 -1.</_>
-        <_>
-          15 6 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 3 -1.</_>
-        <_>
-          3 6 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 4 -1.</_>
-        <_>
-          9 0 9 2 2.</_>
-        <_>
-          0 2 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 4 -1.</_>
-        <_>
-          5 6 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 12 -1.</_>
-        <_>
-          15 1 2 6 2.</_>
-        <_>
-          13 7 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 14 -1.</_>
-        <_>
-          3 8 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 5 3 -1.</_>
-        <_>
-          7 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 2 -1.</_>
-        <_>
-          6 8 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 9 3 -1.</_>
-        <_>
-          10 9 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 9 3 -1.</_>
-        <_>
-          5 9 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 7 -1.</_>
-        <_>
-          11 4 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 4 7 -1.</_>
-        <_>
-          5 4 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 14 3 1 -1.</_>
-        <_>
-          11 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 3 1 -1.</_>
-        <_>
-          6 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 12 1 -1.</_>
-        <_>
-          9 14 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 8 -1.</_>
-        <_>
-          0 1 9 4 2.</_>
-        <_>
-          9 5 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 6 4 -1.</_>
-        <_>
-          9 1 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 1 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 2 -1.</_>
-        <_>
-          12 8 1 1 2.</_>
-        <_>
-          11 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 11 -1.</_>
-        <_>
-          7 0 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 6 3 -1.</_>
-        <_>
-          9 8 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 9 -1.</_>
-        <_>
-          6 0 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 2 -1.</_>
-        <_>
-          11 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          7 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 1 -1.</_>
-        <_>
-          11 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 11 -1.</_>
-        <_>
-          8 4 2 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 3 3 -1.</_>
-        <_>
-          11 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 9 2 -1.</_>
-        <_>
-          8 1 9 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 1 -1.</_>
-        <_>
-          11 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 6 -1.</_>
-        <_>
-          0 9 9 3 2.</_>
-        <_>
-          9 12 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 3 3 -1.</_>
-        <_>
-          11 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 3 3 -1.</_>
-        <_>
-          6 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 1 -1.</_>
-        <_>
-          11 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 6 -1.</_>
-        <_>
-          0 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 5 6 -1.</_>
-        <_>
-          11 10 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 6 -1.</_>
-        <_>
-          0 10 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 6 6 -1.</_>
-        <_>
-          11 10 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 6 6 -1.</_>
-        <_>
-          1 10 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 1 -1.</_>
-        <_>
-          11 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 3 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 9 9 -1.</_>
-        <_>
-          8 6 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 2 -1.</_>
-        <_>
-          7 0 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 3 6 -1.</_>
-        <_>
-          12 9 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 14 12 1 -1.</_>
-        <_>
-          5 14 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 4 1 -1.</_>
-        <_>
-          9 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 4 1 -1.</_>
-        <_>
-          7 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 14 2 1 -1.</_>
-        <_>
-          14 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 14 2 1 -1.</_>
-        <_>
-          3 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 3 6 -1.</_>
-        <_>
-          12 9 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 3 6 -1.</_>
-        <_>
-          5 9 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 12 12 2 -1.</_>
-        <_>
-          5 13 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 15 -1.</_>
-        <_>
-          5 0 5 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 4 -1.</_>
-        <_>
-          8 1 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 8 -1.</_>
-        <_>
-          0 3 1 4 2.</_>
-        <_>
-          1 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 3 -1.</_>
-        <_>
-          14 2 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 6 -1.</_>
-        <_>
-          16 0 2 3 2.</_>
-        <_>
-          14 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 2 -1.</_>
-        <_>
-          3 3 6 1 2.</_>
-        <_>
-          9 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 1 -1.</_>
-        <_>
-          16 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 10 1 2 -1.</_>
-        <_>
-          2 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 6 4 -1.</_>
-        <_>
-          13 7 3 2 2.</_>
-        <_>
-          10 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 5 -1.</_>
-        <_>
-          6 4 6 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 5 6 -1.</_>
-        <_>
-          9 3 5 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 6 -1.</_>
-        <_>
-          10 2 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 14 4 -1.</_>
-        <_>
-          11 4 7 2 2.</_>
-        <_>
-          4 6 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 14 4 -1.</_>
-        <_>
-          0 4 7 2 2.</_>
-        <_>
-          7 6 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 6 4 -1.</_>
-        <_>
-          13 7 3 2 2.</_>
-        <_>
-          10 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 6 4 -1.</_>
-        <_>
-          2 7 3 2 2.</_>
-        <_>
-          5 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 2 -1.</_>
-        <_>
-          10 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 6 1 -1.</_>
-        <_>
-          9 14 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 6 -1.</_>
-        <_>
-          9 9 9 3 2.</_>
-        <_>
-          0 12 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 14 -1.</_>
-        <_>
-          1 7 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 3 -1.</_>
-        <_>
-          3 8 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 2 2 -1.</_>
-        <_>
-          7 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 12 -1.</_>
-        <_>
-          7 0 4 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 1 -1.</_>
-        <_>
-          9 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 4 -1.</_>
-        <_>
-          8 8 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          0 11 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 8 -1.</_>
-        <_>
-          8 5 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 4 -1.</_>
-        <_>
-          3 5 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 1 -1.</_>
-        <_>
-          6 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 10 -1.</_>
-        <_>
-          11 0 2 5 2.</_>
-        <_>
-          9 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 2 -1.</_>
-        <_>
-          4 3 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 4 -1.</_>
-        <_>
-          12 0 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 5 2 -1.</_>
-        <_>
-          6 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 4 -1.</_>
-        <_>
-          12 0 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          5 0 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 3 -1.</_>
-        <_>
-          10 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 3 -1.</_>
-        <_>
-          5 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 2 -1.</_>
-        <_>
-          12 8 1 1 2.</_>
-        <_>
-          11 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 2 -1.</_>
-        <_>
-          5 8 1 1 2.</_>
-        <_>
-          6 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 2 -1.</_>
-        <_>
-          12 8 1 1 2.</_>
-        <_>
-          11 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 2 -1.</_>
-        <_>
-          5 8 1 1 2.</_>
-        <_>
-          6 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 4 -1.</_>
-        <_>
-          10 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 5 12 -1.</_>
-        <_>
-          3 6 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 4 1 -1.</_>
-        <_>
-          11 10 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 3 6 -1.</_>
-        <_>
-          4 3 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 16 1 -1.</_>
-        <_>
-          6 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 4 -1.</_>
-        <_>
-          3 6 6 2 2.</_>
-        <_>
-          9 8 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 16 3 -1.</_>
-        <_>
-          1 8 16 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 6 6 -1.</_>
-        <_>
-          4 8 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 4 3 -1.</_>
-        <_>
-          14 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 4 3 -1.</_>
-        <_>
-          0 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 1 3 -1.</_>
-        <_>
-          14 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 9 3 -1.</_>
-        <_>
-          4 9 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 3 -1.</_>
-        <_>
-          14 2 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 4 -1.</_>
-        <_>
-          3 2 1 2 2.</_>
-        <_>
-          4 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 10 -1.</_>
-        <_>
-          12 5 2 5 2.</_>
-        <_>
-          10 10 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 10 -1.</_>
-        <_>
-          4 5 2 5 2.</_>
-        <_>
-          6 10 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 2 2 -1.</_>
-        <_>
-          11 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 6 -1.</_>
-        <_>
-          5 6 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 2 2 -1.</_>
-        <_>
-          11 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 1 -1.</_>
-        <_>
-          9 5 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 9 14 -1.</_>
-        <_>
-          5 0 3 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 10 -1.</_>
-        <_>
-          11 0 2 5 2.</_>
-        <_>
-          9 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 5 -1.</_>
-        <_>
-          5 0 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 1 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 4 4 -1.</_>
-        <_>
-          12 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 4 -1.</_>
-        <_>
-          9 7 1 2 2.</_>
-        <_>
-          8 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 16 2 -1.</_>
-        <_>
-          5 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 12 -1.</_>
-        <_>
-          5 4 8 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 12 9 -1.</_>
-        <_>
-          6 5 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 3 -1.</_>
-        <_>
-          14 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 3 -1.</_>
-        <_>
-          4 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 16 7 -1.</_>
-        <_>
-          6 2 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 16 7 -1.</_>
-        <_>
-          4 2 8 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 13 2 2 -1.</_>
-        <_>
-          16 13 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 2 -1.</_>
-        <_>
-          1 13 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 8 -1.</_>
-        <_>
-          17 7 1 4 2.</_>
-        <_>
-          16 11 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 8 -1.</_>
-        <_>
-          0 7 1 4 2.</_>
-        <_>
-          1 11 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 7 3 -1.</_>
-        <_>
-          11 3 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 3 -1.</_>
-        <_>
-          1 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 6 4 -1.</_>
-        <_>
-          12 7 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 1 -1.</_>
-        <_>
-          9 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 8 -1.</_>
-        <_>
-          0 7 18 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 2 -1.</_>
-        <_>
-          7 6 1 1 2.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 2 -1.</_>
-        <_>
-          12 6 1 1 2.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 4 6 -1.</_>
-        <_>
-          6 7 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 2 -1.</_>
-        <_>
-          16 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 14 2 1 -1.</_>
-        <_>
-          9 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 7 3 -1.</_>
-        <_>
-          11 3 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 9 12 -1.</_>
-        <_>
-          0 5 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 11 -1.</_>
-        <_>
-          16 0 1 11 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 3 -1.</_>
-        <_>
-          10 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 8 4 2 -1.</_>
-        <_>
-          12 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 5 6 -1.</_>
-        <_>
-          4 6 5 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 3 -1.</_>
-        <_>
-          16 2 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 3 -1.</_>
-        <_>
-          1 2 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 3 3 -1.</_>
-        <_>
-          14 8 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 4 9 -1.</_>
-        <_>
-          4 4 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 1 -1.</_>
-        <_>
-          10 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 2 2 -1.</_>
-        <_>
-          8 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 15 -1.</_>
-        <_>
-          9 0 7 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 4 3 -1.</_>
-        <_>
-          12 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 8 -1.</_>
-        <_>
-          3 6 6 4 2.</_>
-        <_>
-          9 10 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 6 -1.</_>
-        <_>
-          13 7 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 4 -1.</_>
-        <_>
-          6 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 3 3 -1.</_>
-        <_>
-          13 8 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 14 -1.</_>
-        <_>
-          0 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 4 -1.</_>
-        <_>
-          13 9 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 4 3 -1.</_>
-        <_>
-          5 9 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          9 0 6 2 2.</_>
-        <_>
-          3 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 12 -1.</_>
-        <_>
-          3 8 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 4 -1.</_>
-        <_>
-          12 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 1 6 -1.</_>
-        <_>
-          5 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 14 -1.</_>
-        <_>
-          17 8 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          0 0 9 5 2.</_>
-        <_>
-          9 5 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 11 -1.</_>
-        <_>
-          9 0 4 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 4 -1.</_>
-        <_>
-          7 0 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 13 10 2 -1.</_>
-        <_>
-          13 13 5 1 2.</_>
-        <_>
-          8 14 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 4 -1.</_>
-        <_>
-          3 2 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 8 4 1 -1.</_>
-        <_>
-          14 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 3 2 -1.</_>
-        <_>
-          4 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 1 -1.</_>
-        <_>
-          14 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 3 -1.</_>
-        <_>
-          4 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 1 -1.</_>
-        <_>
-          14 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 11 2 2 -1.</_>
-        <_>
-          2 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 11 16 2 -1.</_>
-        <_>
-          2 12 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 3 -1.</_>
-        <_>
-          10 8 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 16 3 -1.</_>
-        <_>
-          2 13 16 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 4 -1.</_>
-        <_>
-          0 10 9 2 2.</_>
-        <_>
-          9 12 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 9 2 -1.</_>
-        <_>
-          9 12 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 3 -1.</_>
-        <_>
-          4 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 6 -1.</_>
-        <_>
-          8 3 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 9 -1.</_>
-        <_>
-          6 3 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 6 -1.</_>
-        <_>
-          7 6 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 3 -1.</_>
-        <_>
-          10 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 2 -1.</_>
-        <_>
-          11 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 1 -1.</_>
-        <_>
-          7 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 3 -1.</_>
-        <_>
-          12 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 11 -1.</_>
-        <_>
-          5 0 4 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 3 -1.</_>
-        <_>
-          12 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 3 4 -1.</_>
-        <_>
-          6 2 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 13 10 2 -1.</_>
-        <_>
-          0 13 5 1 2.</_>
-        <_>
-          5 14 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 12 4 3 -1.</_>
-        <_>
-          13 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 1 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 2 -1.</_>
-        <_>
-          7 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 4 -1.</_>
-        <_>
-          0 12 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 12 4 3 -1.</_>
-        <_>
-          13 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 4 2 -1.</_>
-        <_>
-          5 10 2 1 2.</_>
-        <_>
-          7 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 2 8 -1.</_>
-        <_>
-          13 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 8 -1.</_>
-        <_>
-          3 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 12 4 3 -1.</_>
-        <_>
-          13 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 2 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          8 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 4 3 -1.</_>
-        <_>
-          3 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 1 6 -1.</_>
-        <_>
-          7 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 4 -1.</_>
-        <_>
-          8 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          11 9 1 1 2.</_>
-        <_>
-          10 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 2 -1.</_>
-        <_>
-          6 9 1 1 2.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 4 -1.</_>
-        <_>
-          9 6 6 2 2.</_>
-        <_>
-          3 8 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 2 -1.</_>
-        <_>
-          7 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 1 6 -1.</_>
-        <_>
-          17 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 2 -1.</_>
-        <_>
-          6 8 1 1 2.</_>
-        <_>
-          7 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 3 -1.</_>
-        <_>
-          9 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 17 6 -1.</_>
-        <_>
-          0 6 17 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 16 3 -1.</_>
-        <_>
-          1 7 16 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 1 -1.</_>
-        <_>
-          3 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 4 -1.</_>
-        <_>
-          12 6 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 8 4 -1.</_>
-        <_>
-          7 1 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 1 -1.</_>
-        <_>
-          6 0 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 1 -1.</_>
-        <_>
-          11 7 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 6 8 -1.</_>
-        <_>
-          13 6 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 7 -1.</_>
-        <_>
-          11 2 4 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 6 8 -1.</_>
-        <_>
-          13 6 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 3 -1.</_>
-        <_>
-          6 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 6 8 -1.</_>
-        <_>
-          13 6 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 6 8 -1.</_>
-        <_>
-          3 6 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 6 -1.</_>
-        <_>
-          6 5 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 4 -1.</_>
-        <_>
-          6 6 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 2 -1.</_>
-        <_>
-          0 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 4 -1.</_>
-        <_>
-          16 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 4 -1.</_>
-        <_>
-          0 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 17 2 -1.</_>
-        <_>
-          1 5 17 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 4 -1.</_>
-        <_>
-          0 0 9 2 2.</_>
-        <_>
-          9 2 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 4 2 -1.</_>
-        <_>
-          13 10 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 4 -1.</_>
-        <_>
-          5 10 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 1 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 2 -1.</_>
-        <_>
-          7 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 1 3 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 3 -1.</_>
-        <_>
-          4 10 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 16 6 -1.</_>
-        <_>
-          1 5 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 1 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 4 -1.</_>
-        <_>
-          17 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 4 2 -1.</_>
-        <_>
-          6 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 13 18 2 -1.</_>
-        <_>
-          0 14 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 3 -1.</_>
-        <_>
-          7 5 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 1 -1.</_>
-        <_>
-          9 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 1 -1.</_>
-        <_>
-          8 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 10 -1.</_>
-        <_>
-          10 0 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 10 -1.</_>
-        <_>
-          6 0 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 6 -1.</_>
-        <_>
-          10 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 6 6 -1.</_>
-        <_>
-          6 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 6 -1.</_>
-        <_>
-          9 5 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 4 -1.</_>
-        <_>
-          9 5 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 1 -1.</_>
-        <_>
-          15 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 1 -1.</_>
-        <_>
-          1 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 3 2 -1.</_>
-        <_>
-          3 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 4 -1.</_>
-        <_>
-          17 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 1 -1.</_>
-        <_>
-          15 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 3 1 -1.</_>
-        <_>
-          2 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 16 2 -1.</_>
-        <_>
-          5 13 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 2 2 -1.</_>
-        <_>
-          2 3 1 1 2.</_>
-        <_>
-          3 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 2 -1.</_>
-        <_>
-          15 3 1 1 2.</_>
-        <_>
-          14 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 2 2 -1.</_>
-        <_>
-          2 3 1 1 2.</_>
-        <_>
-          3 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 11 3 -1.</_>
-        <_>
-          4 2 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 1 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 14 9 1 -1.</_>
-        <_>
-          10 14 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 6 2 -1.</_>
-        <_>
-          5 10 3 1 2.</_>
-        <_>
-          8 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          9 10 9 1 2.</_>
-        <_>
-          0 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 15 4 -1.</_>
-        <_>
-          0 13 15 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 16 3 -1.</_>
-        <_>
-          2 13 16 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 16 1 -1.</_>
-        <_>
-          4 0 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 12 5 -1.</_>
-        <_>
-          9 5 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 12 5 -1.</_>
-        <_>
-          3 5 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 9 3 -1.</_>
-        <_>
-          11 12 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 4 3 -1.</_>
-        <_>
-          7 1 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          10 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 7 2 -1.</_>
-        <_>
-          3 0 7 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 4 -1.</_>
-        <_>
-          3 7 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 1 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 11 8 4 -1.</_>
-        <_>
-          7 11 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 6 1 -1.</_>
-        <_>
-          8 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 4 1 -1.</_>
-        <_>
-          8 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 8 2 -1.</_>
-        <_>
-          4 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          16 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 10 2 3 -1.</_>
-        <_>
-          2 11 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 2 -1.</_>
-        <_>
-          17 12 1 1 2.</_>
-        <_>
-          16 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 4 -1.</_>
-        <_>
-          0 12 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 2 -1.</_>
-        <_>
-          17 12 1 1 2.</_>
-        <_>
-          16 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 4 -1.</_>
-        <_>
-          16 1 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 4 2 -1.</_>
-        <_>
-          2 1 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 3 -1.</_>
-        <_>
-          13 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          5 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 2 -1.</_>
-        <_>
-          17 2 1 1 2.</_>
-        <_>
-          16 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 2 -1.</_>
-        <_>
-          0 2 1 1 2.</_>
-        <_>
-          1 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 1 -1.</_>
-        <_>
-          12 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 1 -1.</_>
-        <_>
-          3 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 2 -1.</_>
-        <_>
-          9 3 4 1 2.</_>
-        <_>
-          5 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 8 -1.</_>
-        <_>
-          8 0 1 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 3 -1.</_>
-        <_>
-          9 2 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 2 -1.</_>
-        <_>
-          9 2 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 2 -1.</_>
-        <_>
-          17 12 1 1 2.</_>
-        <_>
-          16 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 2 2 -1.</_>
-        <_>
-          0 12 1 1 2.</_>
-        <_>
-          1 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 2 -1.</_>
-        <_>
-          17 12 1 1 2.</_>
-        <_>
-          16 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 2 2 -1.</_>
-        <_>
-          0 12 1 1 2.</_>
-        <_>
-          1 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 8 2 -1.</_>
-        <_>
-          8 13 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          5 0 4 1 2.</_>
-        <_>
-          9 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 1 4 -1.</_>
-        <_>
-          13 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 16 6 -1.</_>
-        <_>
-          0 7 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 1 6 -1.</_>
-        <_>
-          12 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 1 6 -1.</_>
-        <_>
-          5 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 6 4 -1.</_>
-        <_>
-          15 8 3 2 2.</_>
-        <_>
-          12 10 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 4 -1.</_>
-        <_>
-          0 5 9 2 2.</_>
-        <_>
-          9 7 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 2 -1.</_>
-        <_>
-          11 3 1 1 2.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 6 3 -1.</_>
-        <_>
-          4 11 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 3 -1.</_>
-        <_>
-          17 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 3 8 -1.</_>
-        <_>
-          8 3 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 4 1 -1.</_>
-        <_>
-          13 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 9 12 -1.</_>
-        <_>
-          4 7 3 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 4 1 -1.</_>
-        <_>
-          13 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 1 4 -1.</_>
-        <_>
-          5 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 3 -1.</_>
-        <_>
-          17 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 3 -1.</_>
-        <_>
-          0 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 1 3 -1.</_>
-        <_>
-          13 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 2 2 -1.</_>
-        <_>
-          6 3 1 1 2.</_>
-        <_>
-          7 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 8 2 -1.</_>
-        <_>
-          8 13 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 4 3 -1.</_>
-        <_>
-          6 6 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 2 -1.</_>
-        <_>
-          6 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 11 -1.</_>
-        <_>
-          6 0 6 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 4 -1.</_>
-        <_>
-          17 3 1 2 2.</_>
-        <_>
-          16 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 6 6 -1.</_>
-        <_>
-          5 3 3 3 2.</_>
-        <_>
-          8 6 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 6 -1.</_>
-        <_>
-          7 2 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 4 -1.</_>
-        <_>
-          6 2 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 4 -1.</_>
-        <_>
-          17 3 1 2 2.</_>
-        <_>
-          16 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 3 2 -1.</_>
-        <_>
-          2 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 4 -1.</_>
-        <_>
-          17 3 1 2 2.</_>
-        <_>
-          16 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 4 -1.</_>
-        <_>
-          0 3 1 2 2.</_>
-        <_>
-          1 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 1 -1.</_>
-        <_>
-          15 4 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 6 6 -1.</_>
-        <_>
-          5 5 3 3 2.</_>
-        <_>
-          8 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 10 -1.</_>
-        <_>
-          8 8 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 1 4 -1.</_>
-        <_>
-          3 4 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 8 6 1 -1.</_>
-        <_>
-          11 8 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 1 6 -1.</_>
-        <_>
-          7 8 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 13 12 1 -1.</_>
-        <_>
-          6 13 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 16 2 -1.</_>
-        <_>
-          8 13 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 4 4 -1.</_>
-        <_>
-          10 11 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 7 3 -1.</_>
-        <_>
-          4 2 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 2 2 -1.</_>
-        <_>
-          12 2 1 1 2.</_>
-        <_>
-          11 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 2 -1.</_>
-        <_>
-          5 2 1 1 2.</_>
-        <_>
-          6 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 8 2 -1.</_>
-        <_>
-          8 13 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 13 8 2 -1.</_>
-        <_>
-          6 13 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 12 9 -1.</_>
-        <_>
-          8 6 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 4 -1.</_>
-        <_>
-          9 2 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 8 1 4 -1.</_>
-        <_>
-          13 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 8 4 1 -1.</_>
-        <_>
-          5 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 12 5 -1.</_>
-        <_>
-          7 1 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 1 -1.</_>
-        <_>
-          6 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 4 -1.</_>
-        <_>
-          8 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 2 2 -1.</_>
-        <_>
-          4 2 1 1 2.</_>
-        <_>
-          5 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 2 2 -1.</_>
-        <_>
-          13 2 1 1 2.</_>
-        <_>
-          12 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 2 2 -1.</_>
-        <_>
-          4 2 1 1 2.</_>
-        <_>
-          5 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 5 4 -1.</_>
-        <_>
-          7 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 1 6 -1.</_>
-        <_>
-          9 3 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 6 2 4 -1.</_>
-        <_>
-          15 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 2 -1.</_>
-        <_>
-          0 6 9 1 2.</_>
-        <_>
-          9 7 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 2 2 -1.</_>
-        <_>
-          14 6 1 1 2.</_>
-        <_>
-          13 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 5 8 -1.</_>
-        <_>
-          0 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 2 2 -1.</_>
-        <_>
-          12 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 10 2 -1.</_>
-        <_>
-          8 0 10 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 11 12 -1.</_>
-        <_>
-          5 4 11 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 11 12 -1.</_>
-        <_>
-          2 4 11 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 2 14 -1.</_>
-        <_>
-          12 1 1 7 2.</_>
-        <_>
-          11 8 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 2 14 -1.</_>
-        <_>
-          5 1 1 7 2.</_>
-        <_>
-          6 8 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 1 -1.</_>
-        <_>
-          11 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 2 -1.</_>
-        <_>
-          3 6 1 1 2.</_>
-        <_>
-          4 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 1 -1.</_>
-        <_>
-          11 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 4 -1.</_>
-        <_>
-          0 8 9 2 2.</_>
-        <_>
-          9 10 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 1 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 15 14 -1.</_>
-        <_>
-          8 0 5 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 9 13 -1.</_>
-        <_>
-          7 0 3 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 9 -1.</_>
-        <_>
-          7 5 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          9 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 6 2 -1.</_>
-        <_>
-          10 2 3 1 2.</_>
-        <_>
-          7 3 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 6 2 -1.</_>
-        <_>
-          9 6 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 2 -1.</_>
-        <_>
-          12 9 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 3 -1.</_>
-        <_>
-          6 9 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 14 4 1 -1.</_>
-        <_>
-          12 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 14 4 1 -1.</_>
-        <_>
-          4 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 4 4 -1.</_>
-        <_>
-          14 11 2 2 2.</_>
-        <_>
-          12 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 1 3 -1.</_>
-        <_>
-          6 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 1 2 -1.</_>
-        <_>
-          11 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 4 4 -1.</_>
-        <_>
-          3 11 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 1 2 -1.</_>
-        <_>
-          11 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 2 -1.</_>
-        <_>
-          6 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 10 4 -1.</_>
-        <_>
-          12 7 5 2 2.</_>
-        <_>
-          7 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 10 4 -1.</_>
-        <_>
-          1 7 5 2 2.</_>
-        <_>
-          6 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 4 -1.</_>
-        <_>
-          6 4 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 4 4 -1.</_>
-        <_>
-          2 11 2 2 2.</_>
-        <_>
-          4 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 14 6 1 -1.</_>
-        <_>
-          11 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 14 6 1 -1.</_>
-        <_>
-          5 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 3 1 -1.</_>
-        <_>
-          12 12 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 12 3 1 -1.</_>
-        <_>
-          5 12 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 6 4 -1.</_>
-        <_>
-          5 4 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 12 9 -1.</_>
-        <_>
-          8 6 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 2 -1.</_>
-        <_>
-          4 7 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 1 2 -1.</_>
-        <_>
-          4 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 4 2 -1.</_>
-        <_>
-          11 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 4 2 -1.</_>
-        <_>
-          3 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 8 2 -1.</_>
-        <_>
-          9 4 4 1 2.</_>
-        <_>
-          5 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 2 2 -1.</_>
-        <_>
-          6 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 11 -1.</_>
-        <_>
-          14 3 1 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 2 11 -1.</_>
-        <_>
-          3 3 1 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 3 -1.</_>
-        <_>
-          15 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 4 5 -1.</_>
-        <_>
-          1 6 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 3 -1.</_>
-        <_>
-          13 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 2 -1.</_>
-        <_>
-          7 6 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 1 6 -1.</_>
-        <_>
-          13 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 4 4 -1.</_>
-        <_>
-          5 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 3 9 -1.</_>
-        <_>
-          9 4 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 1 -1.</_>
-        <_>
-          10 5 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 9 9 -1.</_>
-        <_>
-          9 5 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 9 9 -1.</_>
-        <_>
-          6 5 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          6 4 6 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 14 4 -1.</_>
-        <_>
-          1 3 7 2 2.</_>
-        <_>
-          8 5 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 8 -1.</_>
-        <_>
-          9 0 9 4 2.</_>
-        <_>
-          0 4 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 2 2 -1.</_>
-        <_>
-          5 10 1 1 2.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 3 -1.</_>
-        <_>
-          8 9 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 3 2 -1.</_>
-        <_>
-          10 9 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 9 -1.</_>
-        <_>
-          9 0 3 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 6 -1.</_>
-        <_>
-          9 0 9 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 2 -1.</_>
-        <_>
-          9 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 1 -1.</_>
-        <_>
-          9 2 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 6 3 -1.</_>
-        <_>
-          11 11 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 4 -1.</_>
-        <_>
-          0 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 3 8 -1.</_>
-        <_>
-          14 5 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 1 -1.</_>
-        <_>
-          5 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 1 2 2 -1.</_>
-        <_>
-          14 1 1 1 2.</_>
-        <_>
-          13 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 2 -1.</_>
-        <_>
-          3 1 1 1 2.</_>
-        <_>
-          4 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 1 -1.</_>
-        <_>
-          14 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 1 -1.</_>
-        <_>
-          2 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 8 -1.</_>
-        <_>
-          16 2 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 8 -1.</_>
-        <_>
-          1 2 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 2 -1.</_>
-        <_>
-          8 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 15 -1.</_>
-        <_>
-          5 0 6 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 6 4 -1.</_>
-        <_>
-          11 2 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 8 6 -1.</_>
-        <_>
-          4 2 4 3 2.</_>
-        <_>
-          8 5 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 1 4 -1.</_>
-        <_>
-          9 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 7 6 -1.</_>
-        <_>
-          7 2 7 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 8 2 -1.</_>
-        <_>
-          10 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 17 9 -1.</_>
-        <_>
-          0 3 17 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 5 6 -1.</_>
-        <_>
-          7 3 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 4 -1.</_>
-        <_>
-          5 1 4 2 2.</_>
-        <_>
-          9 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 9 -1.</_>
-        <_>
-          9 3 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 2 -1.</_>
-        <_>
-          9 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 11 8 -1.</_>
-        <_>
-          4 4 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 16 6 -1.</_>
-        <_>
-          1 6 16 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 8 2 -1.</_>
-        <_>
-          10 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 8 2 -1.</_>
-        <_>
-          4 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 4 2 -1.</_>
-        <_>
-          15 8 2 1 2.</_>
-        <_>
-          13 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 3 -1.</_>
-        <_>
-          0 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 3 -1.</_>
-        <_>
-          16 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 5 3 1 -1.</_>
-        <_>
-          2 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 6 1 2 -1.</_>
-        <_>
-          17 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 2 -1.</_>
-        <_>
-          0 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 12 -1.</_>
-        <_>
-          17 7 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 12 -1.</_>
-        <_>
-          0 7 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 4 -1.</_>
-        <_>
-          0 7 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 2 -1.</_>
-        <_>
-          0 10 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 2 -1.</_>
-        <_>
-          6 8 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 1 -1.</_>
-        <_>
-          1 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          16 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 6 3 -1.</_>
-        <_>
-          5 11 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 3 -1.</_>
-        <_>
-          14 2 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 5 14 2 -1.</_>
-        <_>
-          2 5 7 1 2.</_>
-        <_>
-          9 6 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 3 -1.</_>
-        <_>
-          14 2 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 3 2 -1.</_>
-        <_>
-          14 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 3 2 -1.</_>
-        <_>
-          1 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 11 -1.</_>
-        <_>
-          16 3 1 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 11 -1.</_>
-        <_>
-          1 3 1 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 2 2 -1.</_>
-        <_>
-          15 5 1 1 2.</_>
-        <_>
-          14 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 2 2 -1.</_>
-        <_>
-          2 5 1 1 2.</_>
-        <_>
-          3 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 4 -1.</_>
-        <_>
-          15 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 4 -1.</_>
-        <_>
-          0 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 3 -1.</_>
-        <_>
-          17 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 3 -1.</_>
-        <_>
-          0 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 4 -1.</_>
-        <_>
-          17 6 1 2 2.</_>
-        <_>
-          16 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 4 -1.</_>
-        <_>
-          0 6 1 2 2.</_>
-        <_>
-          1 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 6 -1.</_>
-        <_>
-          9 6 9 3 2.</_>
-        <_>
-          0 9 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 6 2 -1.</_>
-        <_>
-          5 1 3 1 2.</_>
-        <_>
-          8 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 2 -1.</_>
-        <_>
-          11 1 1 1 2.</_>
-        <_>
-          10 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 2 -1.</_>
-        <_>
-          6 1 1 1 2.</_>
-        <_>
-          7 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 6 3 -1.</_>
-        <_>
-          10 1 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 6 3 -1.</_>
-        <_>
-          5 1 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 3 -1.</_>
-        <_>
-          14 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 3 -1.</_>
-        <_>
-          2 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 4 2 -1.</_>
-        <_>
-          15 8 2 1 2.</_>
-        <_>
-          13 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 4 2 -1.</_>
-        <_>
-          1 8 2 1 2.</_>
-        <_>
-          3 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 6 -1.</_>
-        <_>
-          7 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 6 -1.</_>
-        <_>
-          12 2 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 8 -1.</_>
-        <_>
-          7 0 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 1 3 -1.</_>
-        <_>
-          12 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 1 3 -1.</_>
-        <_>
-          4 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 1 3 -1.</_>
-        <_>
-          14 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 1 -1.</_>
-        <_>
-          4 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 4 -1.</_>
-        <_>
-          9 9 9 2 2.</_>
-        <_>
-          0 11 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 7 4 -1.</_>
-        <_>
-          8 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          3 0 6 2 2.</_>
-        <_>
-          9 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          7 0 2 2 2.</_>
-        <_>
-          9 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 2 2 -1.</_>
-        <_>
-          12 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 2 2 -1.</_>
-        <_>
-          4 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 10 -1.</_>
-        <_>
-          11 5 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 4 10 -1.</_>
-        <_>
-          5 5 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 3 -1.</_>
-        <_>
-          5 10 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 2 -1.</_>
-        <_>
-          5 8 1 1 2.</_>
-        <_>
-          6 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 8 -1.</_>
-        <_>
-          9 5 9 4 2.</_>
-        <_>
-          0 9 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 9 -1.</_>
-        <_>
-          0 6 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 2 -1.</_>
-        <_>
-          9 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 2 -1.</_>
-        <_>
-          0 3 9 1 2.</_>
-        <_>
-          9 4 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 8 4 -1.</_>
-        <_>
-          8 11 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 2 -1.</_>
-        <_>
-          3 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 4 6 -1.</_>
-        <_>
-          14 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 3 -1.</_>
-        <_>
-          8 1 9 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 11 8 4 -1.</_>
-        <_>
-          8 11 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 8 4 -1.</_>
-        <_>
-          6 11 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 6 2 -1.</_>
-        <_>
-          6 6 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 4 -1.</_>
-        <_>
-          11 5 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 6 -1.</_>
-        <_>
-          7 5 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 15 14 -1.</_>
-        <_>
-          3 8 15 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 14 -1.</_>
-        <_>
-          0 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 2 -1.</_>
-        <_>
-          12 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 2 -1.</_>
-        <_>
-          6 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 1 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 6 -1.</_>
-        <_>
-          0 0 2 3 2.</_>
-        <_>
-          2 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 5 -1.</_>
-        <_>
-          14 6 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 16 3 -1.</_>
-        <_>
-          1 9 16 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 2 -1.</_>
-        <_>
-          1 11 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 5 -1.</_>
-        <_>
-          14 6 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 5 4 -1.</_>
-        <_>
-          4 6 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 1 2 -1.</_>
-        <_>
-          15 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 10 2 -1.</_>
-        <_>
-          2 1 10 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 9 -1.</_>
-        <_>
-          12 2 2 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 3 3 -1.</_>
-        <_>
-          4 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 4 -1.</_>
-        <_>
-          10 1 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 2 1 -1.</_>
-        <_>
-          1 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 11 3 1 -1.</_>
-        <_>
-          16 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 11 1 3 -1.</_>
-        <_>
-          2 12 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 9 -1.</_>
-        <_>
-          12 2 2 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 6 -1.</_>
-        <_>
-          6 2 9 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 10 6 2 -1.</_>
-        <_>
-          10 10 3 1 2.</_>
-        <_>
-          7 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 2 -1.</_>
-        <_>
-          7 7 1 1 2.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 6 -1.</_>
-        <_>
-          7 5 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 1 6 -1.</_>
-        <_>
-          6 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 3 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 2 -1.</_>
-        <_>
-          4 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 3 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 3 -1.</_>
-        <_>
-          1 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 8 2 -1.</_>
-        <_>
-          10 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 2 -1.</_>
-        <_>
-          4 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          7 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 2 -1.</_>
-        <_>
-          0 0 9 1 2.</_>
-        <_>
-          9 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 2 12 -1.</_>
-        <_>
-          12 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 2 12 -1.</_>
-        <_>
-          4 9 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 6 2 -1.</_>
-        <_>
-          10 10 3 1 2.</_>
-        <_>
-          7 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 7 2 -1.</_>
-        <_>
-          6 4 7 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 13 4 1 -1.</_>
-        <_>
-          13 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 6 2 -1.</_>
-        <_>
-          4 9 3 1 2.</_>
-        <_>
-          7 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 2 -1.</_>
-        <_>
-          7 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 4 1 -1.</_>
-        <_>
-          3 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 1 3 -1.</_>
-        <_>
-          12 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 2 -1.</_>
-        <_>
-          6 0 3 1 2.</_>
-        <_>
-          9 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 2 2 -1.</_>
-        <_>
-          6 2 1 1 2.</_>
-        <_>
-          7 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 4 -1.</_>
-        <_>
-          8 1 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 1 3 -1.</_>
-        <_>
-          6 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 10 4 -1.</_>
-        <_>
-          9 8 5 2 2.</_>
-        <_>
-          4 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 2 -1.</_>
-        <_>
-          0 10 18 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 1 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 6 -1.</_>
-        <_>
-          7 7 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 4 -1.</_>
-        <_>
-          6 6 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 7 8 -1.</_>
-        <_>
-          7 2 7 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          6 7 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 3 -1.</_>
-        <_>
-          13 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 3 -1.</_>
-        <_>
-          5 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 6 -1.</_>
-        <_>
-          5 4 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 7 3 -1.</_>
-        <_>
-          8 1 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 4 4 -1.</_>
-        <_>
-          14 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 4 -1.</_>
-        <_>
-          0 13 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 16 2 -1.</_>
-        <_>
-          1 14 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 10 -1.</_>
-        <_>
-          2 0 3 5 2.</_>
-        <_>
-          5 5 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 3 -1.</_>
-        <_>
-          13 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 3 -1.</_>
-        <_>
-          5 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 3 -1.</_>
-        <_>
-          15 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 1 -1.</_>
-        <_>
-          8 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 3 -1.</_>
-        <_>
-          15 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 10 -1.</_>
-        <_>
-          4 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 3 -1.</_>
-        <_>
-          15 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 3 2 -1.</_>
-        <_>
-          3 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 2 -1.</_>
-        <_>
-          16 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 3 -1.</_>
-        <_>
-          2 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 8 -1.</_>
-        <_>
-          8 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 13 -1.</_>
-        <_>
-          5 0 5 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 12 9 -1.</_>
-        <_>
-          8 6 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 12 9 -1.</_>
-        <_>
-          4 6 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 2 -1.</_>
-        <_>
-          17 5 1 1 2.</_>
-        <_>
-          16 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 2 -1.</_>
-        <_>
-          17 5 1 1 2.</_>
-        <_>
-          16 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 13 -1.</_>
-        <_>
-          9 0 5 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 2 -1.</_>
-        <_>
-          17 5 1 1 2.</_>
-        <_>
-          16 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 2 -1.</_>
-        <_>
-          0 5 1 1 2.</_>
-        <_>
-          1 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 2 -1.</_>
-        <_>
-          9 5 9 1 2.</_>
-        <_>
-          0 6 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 2 2 -1.</_>
-        <_>
-          0 13 1 1 2.</_>
-        <_>
-          1 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          17 10 1 1 2.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 2 -1.</_>
-        <_>
-          0 10 1 1 2.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 5 2 -1.</_>
-        <_>
-          7 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 9 3 -1.</_>
-        <_>
-          11 6 3 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 2 -1.</_>
-        <_>
-          16 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 3 -1.</_>
-        <_>
-          2 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 2 1 10 -1.</_>
-        <_>
-          11 2 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 10 1 -1.</_>
-        <_>
-          7 2 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 2 -1.</_>
-        <_>
-          14 0 1 1 2.</_>
-        <_>
-          13 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_>
-        <_>
-          4 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 2 -1.</_>
-        <_>
-          14 0 1 1 2.</_>
-        <_>
-          13 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_>
-        <_>
-          4 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 3 -1.</_>
-        <_>
-          8 9 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 1 3 -1.</_>
-        <_>
-          5 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 7 1 6 -1.</_>
-        <_>
-          17 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 6 -1.</_>
-        <_>
-          0 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 9 -1.</_>
-        <_>
-          12 7 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 2 -1.</_>
-        <_>
-          0 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 8 2 -1.</_>
-        <_>
-          11 10 4 1 2.</_>
-        <_>
-          7 11 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 8 2 -1.</_>
-        <_>
-          3 10 4 1 2.</_>
-        <_>
-          7 11 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 6 -1.</_>
-        <_>
-          8 7 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 3 -1.</_>
-        <_>
-          10 7 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 11 1 2 -1.</_>
-        <_>
-          12 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 4 -1.</_>
-        <_>
-          7 1 9 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 2 -1.</_>
-        <_>
-          8 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 6 -1.</_>
-        <_>
-          4 3 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 7 3 -1.</_>
-        <_>
-          6 1 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 2 -1.</_>
-        <_>
-          7 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 2 -1.</_>
-        <_>
-          15 2 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 3 -1.</_>
-        <_>
-          3 2 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 14 -1.</_>
-        <_>
-          14 0 1 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 6 -1.</_>
-        <_>
-          7 5 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 1 2 -1.</_>
-        <_>
-          12 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 6 -1.</_>
-        <_>
-          8 0 9 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          15 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          3 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 1 -1.</_>
-        <_>
-          16 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 12 2 -1.</_>
-        <_>
-          3 13 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 1 2 -1.</_>
-        <_>
-          12 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 2 2 -1.</_>
-        <_>
-          4 9 1 1 2.</_>
-        <_>
-          5 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 1 -1.</_>
-        <_>
-          16 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 12 1 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 1 -1.</_>
-        <_>
-          15 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 10 1 4 -1.</_>
-        <_>
-          3 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 1 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 1 -1.</_>
-        <_>
-          11 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 7 4 -1.</_>
-        <_>
-          8 1 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 2 -1.</_>
-        <_>
-          11 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 2 -1.</_>
-        <_>
-          6 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 6 3 -1.</_>
-        <_>
-          9 5 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 4 7 -1.</_>
-        <_>
-          6 4 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 4 -1.</_>
-        <_>
-          17 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 8 4 -1.</_>
-        <_>
-          4 3 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 2 -1.</_>
-        <_>
-          9 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 3 2 -1.</_>
-        <_>
-          7 8 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 9 -1.</_>
-        <_>
-          10 6 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 6 -1.</_>
-        <_>
-          7 4 2 3 2.</_>
-        <_>
-          9 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 1 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 4 -1.</_>
-        <_>
-          17 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 4 10 -1.</_>
-        <_>
-          13 3 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_>
-        <_>
-          4 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 6 -1.</_>
-        <_>
-          0 3 18 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 2 6 -1.</_>
-        <_>
-          4 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 1 6 -1.</_>
-        <_>
-          12 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 4 -1.</_>
-        <_>
-          11 2 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 2 2 -1.</_>
-        <_>
-          12 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 15 -1.</_>
-        <_>
-          14 0 1 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 15 -1.</_>
-        <_>
-          3 0 1 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 6 6 -1.</_>
-        <_>
-          11 1 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 1 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 9 3 3 -1.</_>
-        <_>
-          14 10 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 16 6 -1.</_>
-        <_>
-          4 5 8 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 15 -1.</_>
-        <_>
-          7 0 6 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 16 10 -1.</_>
-        <_>
-          8 5 8 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 1 3 -1.</_>
-        <_>
-          8 10 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 9 3 1 -1.</_>
-        <_>
-          10 10 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 10 -1.</_>
-        <_>
-          13 5 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 14 3 -1.</_>
-        <_>
-          2 7 14 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 3 -1.</_>
-        <_>
-          8 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 4 -1.</_>
-        <_>
-          0 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 1 2 -1.</_>
-        <_>
-          12 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 1 2 -1.</_>
-        <_>
-          5 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 3 3 -1.</_>
-        <_>
-          14 10 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 11 -1.</_>
-        <_>
-          3 3 6 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 9 3 -1.</_>
-        <_>
-          10 12 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 2 6 -1.</_>
-        <_>
-          3 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 6 12 -1.</_>
-        <_>
-          12 9 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 12 2 -1.</_>
-        <_>
-          8 13 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 8 3 -1.</_>
-        <_>
-          8 12 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 8 3 -1.</_>
-        <_>
-          6 12 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 2 -1.</_>
-        <_>
-          5 4 1 1 2.</_>
-        <_>
-          6 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 4 -1.</_>
-        <_>
-          11 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 2 -1.</_>
-        <_>
-          8 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 4 -1.</_>
-        <_>
-          7 0 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 1 -1.</_>
-        <_>
-          6 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 4 -1.</_>
-        <_>
-          10 3 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 6 4 -1.</_>
-        <_>
-          5 3 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 16 13 -1.</_>
-        <_>
-          5 2 8 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 2 -1.</_>
-        <_>
-          1 0 1 1 2.</_>
-        <_>
-          2 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 2 -1.</_>
-        <_>
-          1 0 1 1 2.</_>
-        <_>
-          2 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 8 7 -1.</_>
-        <_>
-          12 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 8 7 -1.</_>
-        <_>
-          2 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 6 3 -1.</_>
-        <_>
-          13 9 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 6 3 -1.</_>
-        <_>
-          3 9 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 12 -1.</_>
-        <_>
-          1 6 16 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 5 4 -1.</_>
-        <_>
-          9 0 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 10 -1.</_>
-        <_>
-          7 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 2 -1.</_>
-        <_>
-          8 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 9 3 -1.</_>
-        <_>
-          3 7 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 8 2 -1.</_>
-        <_>
-          9 7 4 1 2.</_>
-        <_>
-          5 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 9 -1.</_>
-        <_>
-          7 4 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 7 -1.</_>
-        <_>
-          13 4 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 3 7 -1.</_>
-        <_>
-          4 4 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 12 10 3 -1.</_>
-        <_>
-          4 13 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 13 8 2 -1.</_>
-        <_>
-          4 14 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 12 -1.</_>
-        <_>
-          13 6 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 8 -1.</_>
-        <_>
-          0 2 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 3 -1.</_>
-        <_>
-          13 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 3 -1.</_>
-        <_>
-          5 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 3 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 4 -1.</_>
-        <_>
-          8 5 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 6 2 -1.</_>
-        <_>
-          7 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 2 -1.</_>
-        <_>
-          12 3 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 6 2 -1.</_>
-        <_>
-          7 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 6 2 -1.</_>
-        <_>
-          8 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 12 -1.</_>
-        <_>
-          13 6 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 5 12 -1.</_>
-        <_>
-          0 6 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 14 10 1 -1.</_>
-        <_>
-          4 14 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 9 3 -1.</_>
-        <_>
-          5 12 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 14 4 -1.</_>
-        <_>
-          2 11 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 8 -1.</_>
-        <_>
-          0 4 18 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 3 -1.</_>
-        <_>
-          9 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_>
-        <_>
-          9 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 1 3 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 11 3 -1.</_>
-        <_>
-          4 1 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 10 6 -1.</_>
-        <_>
-          0 9 5 3 2.</_>
-        <_>
-          5 12 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 9 -1.</_>
-        <_>
-          6 4 6 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 12 9 -1.</_>
-        <_>
-          6 7 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 6 -1.</_>
-        <_>
-          6 10 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 6 -1.</_>
-        <_>
-          0 12 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 2 -1.</_>
-        <_>
-          8 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 2 -1.</_>
-        <_>
-          4 5 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 5 3 -1.</_>
-        <_>
-          8 3 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 2 -1.</_>
-        <_>
-          8 13 1 1 2.</_>
-        <_>
-          9 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 2 -1.</_>
-        <_>
-          14 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 2 -1.</_>
-        <_>
-          4 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 16 4 -1.</_>
-        <_>
-          1 7 16 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 1 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 11 2 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 2 2 -1.</_>
-        <_>
-          0 11 1 1 2.</_>
-        <_>
-          1 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 1 -1.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 2 1 -1.</_>
-        <_>
-          1 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 18 6 -1.</_>
-        <_>
-          0 9 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 7 12 -1.</_>
-        <_>
-          4 5 7 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 3 -1.</_>
-        <_>
-          9 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 6 3 -1.</_>
-        <_>
-          7 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 6 6 -1.</_>
-        <_>
-          12 3 6 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          6 3 3 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 12 9 -1.</_>
-        <_>
-          8 2 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 3 1 -1.</_>
-        <_>
-          2 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 2 -1.</_>
-        <_>
-          14 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 12 9 -1.</_>
-        <_>
-          6 2 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 4 -1.</_>
-        <_>
-          8 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 1 -1.</_>
-        <_>
-          5 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 1 -1.</_>
-        <_>
-          11 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 1 -1.</_>
-        <_>
-          9 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 1 -1.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 8 4 -1.</_>
-        <_>
-          9 2 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 1 -1.</_>
-        <_>
-          9 3 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 13 2 2 -1.</_>
-        <_>
-          13 13 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 1 4 -1.</_>
-        <_>
-          7 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 4 -1.</_>
-        <_>
-          16 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 4 -1.</_>
-        <_>
-          0 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 3 2 -1.</_>
-        <_>
-          10 13 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 3 2 -1.</_>
-        <_>
-          7 13 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 13 2 2 -1.</_>
-        <_>
-          13 13 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 2 2 -1.</_>
-        <_>
-          4 13 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 6 4 -1.</_>
-        <_>
-          12 11 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 6 4 -1.</_>
-        <_>
-          4 11 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 3 -1.</_>
-        <_>
-          6 11 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 4 1 -1.</_>
-        <_>
-          7 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          7 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 4 9 -1.</_>
-        <_>
-          5 8 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 2 8 -1.</_>
-        <_>
-          11 7 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 2 -1.</_>
-        <_>
-          6 8 1 1 2.</_>
-        <_>
-          7 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 4 -1.</_>
-        <_>
-          8 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 1 -1.</_>
-        <_>
-          10 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 9 -1.</_>
-        <_>
-          6 5 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 6 -1.</_>
-        <_>
-          7 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 2 -1.</_>
-        <_>
-          11 6 1 1 2.</_>
-        <_>
-          10 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 2 -1.</_>
-        <_>
-          7 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 2 6 -1.</_>
-        <_>
-          10 6 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 6 -1.</_>
-        <_>
-          0 7 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 2 -1.</_>
-        <_>
-          7 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 6 9 -1.</_>
-        <_>
-          14 9 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 3 -1.</_>
-        <_>
-          4 7 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 4 8 -1.</_>
-        <_>
-          13 5 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 11 2 -1.</_>
-        <_>
-          0 5 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 2 -1.</_>
-        <_>
-          16 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 2 -1.</_>
-        <_>
-          1 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 13 -1.</_>
-        <_>
-          16 0 1 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 13 -1.</_>
-        <_>
-          1 0 1 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 9 3 -1.</_>
-        <_>
-          9 1 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 8 -1.</_>
-        <_>
-          9 2 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 9 -1.</_>
-        <_>
-          3 4 12 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 3 -1.</_>
-        <_>
-          0 11 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 4 -1.</_>
-        <_>
-          9 11 9 2 2.</_>
-        <_>
-          0 13 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 4 -1.</_>
-        <_>
-          4 6 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 6 -1.</_>
-        <_>
-          9 2 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 4 2 -1.</_>
-        <_>
-          6 1 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 12 2 3 -1.</_>
-        <_>
-          13 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 8 -1.</_>
-        <_>
-          6 0 2 4 2.</_>
-        <_>
-          8 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 6 2 -1.</_>
-        <_>
-          10 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 6 2 -1.</_>
-        <_>
-          5 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 3 -1.</_>
-        <_>
-          14 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 5 2 -1.</_>
-        <_>
-          2 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 11 -1.</_>
-        <_>
-          14 1 1 11 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 11 3 -1.</_>
-        <_>
-          4 1 11 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 12 -1.</_>
-        <_>
-          12 0 1 6 2.</_>
-        <_>
-          11 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 12 -1.</_>
-        <_>
-          5 0 1 6 2.</_>
-        <_>
-          6 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 4 -1.</_>
-        <_>
-          11 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 3 3 12 -1.</_>
-        <_>
-          1 7 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 4 -1.</_>
-        <_>
-          11 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 2 -1.</_>
-        <_>
-          7 5 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 10 -1.</_>
-        <_>
-          13 5 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 6 8 -1.</_>
-        <_>
-          0 5 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 2 -1.</_>
-        <_>
-          14 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 2 -1.</_>
-        <_>
-          0 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 3 8 -1.</_>
-        <_>
-          14 5 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 3 8 -1.</_>
-        <_>
-          1 5 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 4 10 -1.</_>
-        <_>
-          12 3 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 4 10 -1.</_>
-        <_>
-          4 3 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 4 7 -1.</_>
-        <_>
-          12 2 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 7 -1.</_>
-        <_>
-          4 2 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 2 -1.</_>
-        <_>
-          14 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 2 -1.</_>
-        <_>
-          4 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 2 2 -1.</_>
-        <_>
-          13 4 1 1 2.</_>
-        <_>
-          12 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 14 -1.</_>
-        <_>
-          5 1 4 7 2.</_>
-        <_>
-          9 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 10 -1.</_>
-        <_>
-          13 5 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 16 4 -1.</_>
-        <_>
-          1 6 16 2 2.</_></rects></_></features></cascade>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_rightear.xml b/data/haarcascades/haarcascade_mcs_rightear.xml
deleted file mode 100644
index 61adf1692d..0000000000
--- a/data/haarcascades/haarcascade_mcs_rightear.xml
+++ /dev/null
@@ -1,7931 +0,0 @@
-<?xml version="1.0"?>
-<!--
-12x20 Right ear (in the image) detector computed with 5000 positive and 15000 negative samples
-2011-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 – Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 – Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@INPROCEEDINGS{Castrillon11-caepia,
-					  author =       "Castrill\'on Santana, M. and Lorenzo Navarro, J. and Hern\'andez Sosa, D. ",
-					  title =        "An Study on Ear Detection and its Applications to Face Detection",
-					  booktitle =    "Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA)",
-					  year =         "2011",
-					  month =        "November",
-					  address =      "La Laguna, Spain",
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
-  <featureType>HAAR</featureType>
-  <height>12</height>
-  <width>20</width>
-  <stageParams>
-    <maxWeakCount>61</maxWeakCount></stageParams>
-  <featureParams>
-    <maxCatCount>0</maxCatCount></featureParams>
-  <stageNum>20</stageNum>
-  <stages>
-    <_>
-      <maxWeakCount>7</maxWeakCount>
-      <stageThreshold>-1.3802499771118164e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 0 -1.2393590062856674e-01</internalNodes>
-          <leafValues>
-            8.2578802108764648e-01 -6.7602032423019409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1 9.4228880479931831e-03</internalNodes>
-          <leafValues>
-            -1.2722210586071014e-01 3.3211699128150940e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2 -1.1084940284490585e-02</internalNodes>
-          <leafValues>
-            5.6749510765075684e-01 -5.6716197729110718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3 -2.0189690589904785e-01</internalNodes>
-          <leafValues>
-            -7.6717972755432129e-01 1.9637049734592438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 4 -4.7402849304489791e-05</internalNodes>
-          <leafValues>
-            3.8455748558044434e-01 -6.7010718584060669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 5 -8.6445426568388939e-03</internalNodes>
-          <leafValues>
-            -6.9345837831497192e-01 1.0593380033969879e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 6 5.0770420784829184e-05</internalNodes>
-          <leafValues>
-            -6.8352818489074707e-01 3.5795739293098450e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>9</maxWeakCount>
-      <stageThreshold>-1.4652169942855835e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 7 -1.8316349387168884e-01</internalNodes>
-          <leafValues>
-            7.8830862045288086e-01 -5.8876812458038330e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 8 2.5380790233612061e-02</internalNodes>
-          <leafValues>
-            -7.4764448404312134e-01 4.1486009955406189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 9 1.4207419939339161e-02</internalNodes>
-          <leafValues>
-            -7.8411531448364258e-01 2.7354270219802856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 10 8.6809601634740829e-03</internalNodes>
-          <leafValues>
-            -1.0974329710006714e-01 9.4718709588050842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 11 -4.1219559498131275e-03</internalNodes>
-          <leafValues>
-            3.1739580631256104e-01 -5.4334312677383423e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 12 -1.1700070463120937e-02</internalNodes>
-          <leafValues>
-            3.9653539657592773e-01 -3.7434050440788269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 13 2.8762829303741455e-01</internalNodes>
-          <leafValues>
-            -1.7733460664749146e-01 8.8516682386398315e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 14 -4.8463501036167145e-02</internalNodes>
-          <leafValues>
-            -6.0947227478027344e-01 1.3633400201797485e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 15 7.6523773372173309e-02</internalNodes>
-          <leafValues>
-            -2.9950559139251709e-01 6.1522072553634644e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>18</maxWeakCount>
-      <stageThreshold>-2.0372869968414307e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 16 1.1777380108833313e-01</internalNodes>
-          <leafValues>
-            -5.8754861354827881e-01 6.1994218826293945e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 17 2.9533330351114273e-02</internalNodes>
-          <leafValues>
-            -4.2420691251754761e-01 3.6524820327758789e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 18 6.1603458598256111e-03</internalNodes>
-          <leafValues>
-            -7.9607379436492920e-01 3.2861700654029846e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 19 -5.9753831010311842e-05</internalNodes>
-          <leafValues>
-            1.0398519784212112e-01 -4.5819509029388428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 20 -3.6190438549965620e-04</internalNodes>
-          <leafValues>
-            5.3506380319595337e-01 -6.4719748497009277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 21 2.0906500518321991e-02</internalNodes>
-          <leafValues>
-            -1.6793949902057648e-01 2.4539050459861755e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 22 8.2527771592140198e-03</internalNodes>
-          <leafValues>
-            -8.5986042022705078e-01 2.2863869369029999e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 23 5.9341029264032841e-03</internalNodes>
-          <leafValues>
-            -4.6319939196109772e-02 -6.0758531093597412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 24 1.8554080452304333e-04</internalNodes>
-          <leafValues>
-            -5.7996147871017456e-01 3.7694430351257324e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 25 -7.2531788609921932e-03</internalNodes>
-          <leafValues>
-            -5.6681227684020996e-01 -1.9910290837287903e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 26 4.0826769691193476e-05</internalNodes>
-          <leafValues>
-            -6.2813758850097656e-01 4.0546119213104248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 27 -1.0268500074744225e-02</internalNodes>
-          <leafValues>
-            4.5032399892807007e-01 -2.7399060130119324e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 28 -3.5408639814704657e-03</internalNodes>
-          <leafValues>
-            3.4393149614334106e-01 -6.7639619112014771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 29 -6.9421626627445221e-02</internalNodes>
-          <leafValues>
-            6.5173202753067017e-01 -7.4326410889625549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 30 7.1986039984039962e-05</internalNodes>
-          <leafValues>
-            -4.5737218856811523e-01 3.0109271407127380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 31 6.3741732446942478e-05</internalNodes>
-          <leafValues>
-            -5.5820369720458984e-01 1.9148319959640503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 32 4.4920871005160734e-05</internalNodes>
-          <leafValues>
-            -5.7379388809204102e-01 2.1276189386844635e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 33 1.3159319758415222e-01</internalNodes>
-          <leafValues>
-            -2.2754240036010742e-01 2.8766331076622009e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>13</maxWeakCount>
-      <stageThreshold>-1.5061739683151245e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 34 -1.5496319532394409e-01</internalNodes>
-          <leafValues>
-            7.2985649108886719e-01 -5.9489607810974121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 35 8.4833214059472084e-03</internalNodes>
-          <leafValues>
-            1.3606220483779907e-01 -4.3773031234741211e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 36 -3.2831680029630661e-02</internalNodes>
-          <leafValues>
-            6.7158091068267822e-01 -2.8739199042320251e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 37 -2.8853790834546089e-02</internalNodes>
-          <leafValues>
-            4.5923650264739990e-01 -4.9327030777931213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 38 1.7052419483661652e-01</internalNodes>
-          <leafValues>
-            -1.6527549922466278e-01 8.4507262706756592e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 39 1.0879129916429520e-01</internalNodes>
-          <leafValues>
-            -2.8913050889968872e-01 5.3111201524734497e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 40 3.0960019212216139e-03</internalNodes>
-          <leafValues>
-            -5.5323868989944458e-01 2.6134639978408813e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 41 -3.3618099987506866e-02</internalNodes>
-          <leafValues>
-            2.2911429405212402e-01 -5.5924427509307861e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 42 -1.1074040085077286e-03</internalNodes>
-          <leafValues>
-            -6.3096380233764648e-01 1.5855440497398376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 43 -4.4385627843439579e-03</internalNodes>
-          <leafValues>
-            -6.3817399740219116e-01 1.2779480218887329e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 44 -9.4127003103494644e-03</internalNodes>
-          <leafValues>
-            3.5108420252799988e-01 -3.4738400578498840e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 45 -3.2499480992555618e-02</internalNodes>
-          <leafValues>
-            6.7672997713088989e-01 -5.5984470993280411e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 46 -1.3464169576764107e-02</internalNodes>
-          <leafValues>
-            -7.5412607192993164e-01 1.5986099839210510e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>17</maxWeakCount>
-      <stageThreshold>-1.5266020298004150e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 47 -1.8050560355186462e-01</internalNodes>
-          <leafValues>
-            7.1835839748382568e-01 -5.2469527721405029e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 48 -1.5271560288965702e-02</internalNodes>
-          <leafValues>
-            3.2215949892997742e-01 -1.5855640172958374e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 49 -3.4879799932241440e-02</internalNodes>
-          <leafValues>
-            3.2105189561843872e-01 -5.3338629007339478e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 50 -3.1743600964546204e-02</internalNodes>
-          <leafValues>
-            4.1040870547294617e-01 -3.7935909628868103e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 51 4.8427619040012360e-03</internalNodes>
-          <leafValues>
-            -6.9584208726882935e-01 2.4080069363117218e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 52 4.9639631062746048e-02</internalNodes>
-          <leafValues>
-            8.0581977963447571e-03 -5.4770648479461670e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 53 1.1154930293560028e-01</internalNodes>
-          <leafValues>
-            -2.4036459624767303e-01 5.6387817859649658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 54 -2.6947790756821632e-02</internalNodes>
-          <leafValues>
-            -4.5162969827651978e-01 6.0060828924179077e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 55 -4.9296129494905472e-02</internalNodes>
-          <leafValues>
-            8.3912831544876099e-01 -1.8871270120143890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 56 2.8315439820289612e-02</internalNodes>
-          <leafValues>
-            6.9766468368470669e-03 1.8534269928932190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 57 3.3421538770198822e-02</internalNodes>
-          <leafValues>
-            -3.1101679801940918e-01 4.0044930577278137e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 58 -6.2644667923450470e-03</internalNodes>
-          <leafValues>
-            -4.4615790247917175e-01 6.6276572644710541e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 59 2.5548560079187155e-03</internalNodes>
-          <leafValues>
-            1.3413320481777191e-01 -7.4927258491516113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 60 2.9710179194808006e-02</internalNodes>
-          <leafValues>
-            6.1377300880849361e-04 -7.7615362405776978e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 61 -4.1485700756311417e-02</internalNodes>
-          <leafValues>
-            5.9405767917633057e-01 -1.6889290511608124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 62 1.2231590226292610e-02</internalNodes>
-          <leafValues>
-            5.1312480121850967e-02 -7.5303572416305542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 63 -4.3153190053999424e-03</internalNodes>
-          <leafValues>
-            -6.4812111854553223e-01 1.3281610608100891e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>17</maxWeakCount>
-      <stageThreshold>-1.4295140504837036e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 64 1.1714699864387512e-01</internalNodes>
-          <leafValues>
-            -5.1155489683151245e-01 5.4587250947952271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 65 5.2537951618432999e-02</internalNodes>
-          <leafValues>
-            -2.6988661289215088e-01 3.4098041057586670e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 66 -1.9980749115347862e-02</internalNodes>
-          <leafValues>
-            3.5662230849266052e-01 -4.4640049338340759e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 67 -1.2166350334882736e-01</internalNodes>
-          <leafValues>
-            4.5662569999694824e-01 -6.7647598683834076e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 68 1.6176940873265266e-02</internalNodes>
-          <leafValues>
-            -4.8407769203186035e-01 2.5647491216659546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 69 -1.2731030583381653e-01</internalNodes>
-          <leafValues>
-            7.8568279743194580e-01 -7.6182372868061066e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 70 -3.7296859081834555e-03</internalNodes>
-          <leafValues>
-            2.7144059538841248e-01 -4.8822438716888428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 71 -1.7392159998416901e-01</internalNodes>
-          <leafValues>
-            7.3156762123107910e-01 -4.0217950940132141e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 72 -9.4516716897487640e-02</internalNodes>
-          <leafValues>
-            4.9297851324081421e-01 -2.1850970387458801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 73 7.9759500920772552e-02</internalNodes>
-          <leafValues>
-            -1.0667549818754196e-01 2.1722890436649323e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 74 2.9159070923924446e-02</internalNodes>
-          <leafValues>
-            1.5513190627098083e-01 -7.9432719945907593e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 75 6.8567609414458275e-03</internalNodes>
-          <leafValues>
-            -7.7142190933227539e-01 1.0970850288867950e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 76 2.6352910790592432e-03</internalNodes>
-          <leafValues>
-            9.6235923469066620e-02 -7.4925291538238525e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 77 -4.1161300614476204e-03</internalNodes>
-          <leafValues>
-            1.7448060214519501e-01 -4.6480000019073486e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 78 -2.7307260315865278e-03</internalNodes>
-          <leafValues>
-            -5.8561611175537109e-01 1.1779639869928360e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 79 -1.9059289246797562e-02</internalNodes>
-          <leafValues>
-            -6.8809962272644043e-01 1.0283970087766647e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 80 -2.9182219877839088e-03</internalNodes>
-          <leafValues>
-            -6.6901868581771851e-01 8.3721928298473358e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>26</maxWeakCount>
-      <stageThreshold>-1.5588049888610840e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 81 8.1108748912811279e-02</internalNodes>
-          <leafValues>
-            -3.9180481433868408e-01 5.3625607490539551e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 82 9.1598061844706535e-03</internalNodes>
-          <leafValues>
-            -4.6528929471969604e-01 3.3383831381797791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 83 8.0795027315616608e-04</internalNodes>
-          <leafValues>
-            -7.5230997800827026e-01 1.4381100237369537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 84 2.4406640231609344e-01</internalNodes>
-          <leafValues>
-            -2.2846619784832001e-01 5.0088721513748169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 85 9.9084907560609281e-05</internalNodes>
-          <leafValues>
-            -4.9552011489868164e-01 2.3163549602031708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 86 -1.6304260492324829e-01</internalNodes>
-          <leafValues>
-            8.0807077884674072e-01 -1.4503139257431030e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 87 9.9489316344261169e-03</internalNodes>
-          <leafValues>
-            -1.3804569840431213e-01 6.0897988080978394e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 88 7.6701432466506958e-02</internalNodes>
-          <leafValues>
-            3.7772629410028458e-02 -5.3447282314300537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 89 4.7309949994087219e-02</internalNodes>
-          <leafValues>
-            -3.6191630363464355e-01 2.8269779682159424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 90 -2.2022439166903496e-02</internalNodes>
-          <leafValues>
-            -5.2068692445755005e-01 9.4968706369400024e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 91 1.3980070129036903e-02</internalNodes>
-          <leafValues>
-            1.1217589676380157e-01 -6.8278092145919800e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 92 -6.6961131989955902e-02</internalNodes>
-          <leafValues>
-            8.7730789184570312e-01 -2.7844179421663284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 93 1.1592600494623184e-03</internalNodes>
-          <leafValues>
-            -3.4661638736724854e-01 2.0498119294643402e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 94 1.9640380516648293e-02</internalNodes>
-          <leafValues>
-            -1.2608189880847931e-01 2.8791791200637817e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 95 -1.0507949627935886e-02</internalNodes>
-          <leafValues>
-            -6.1253058910369873e-01 1.2488999962806702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 96 1.7976740375161171e-02</internalNodes>
-          <leafValues>
-            -1.2991739809513092e-01 1.4235779643058777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 97 -3.1597379595041275e-02</internalNodes>
-          <leafValues>
-            3.3326789736747742e-01 -2.4774129688739777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 98 -1.8917859997600317e-03</internalNodes>
-          <leafValues>
-            -5.3087908029556274e-01 8.8928163051605225e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 99 -1.7453400418162346e-02</internalNodes>
-          <leafValues>
-            -6.4604520797729492e-01 1.1086379736661911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 100 1.0619490407407284e-02</internalNodes>
-          <leafValues>
-            1.4190349727869034e-02 -2.1650099754333496e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 101 -1.1998750269412994e-03</internalNodes>
-          <leafValues>
-            -6.4023351669311523e-01 1.0543160140514374e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 102 9.0056620538234711e-03</internalNodes>
-          <leafValues>
-            6.6442847251892090e-02 -3.8506388664245605e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 103 -3.1365811824798584e-02</internalNodes>
-          <leafValues>
-            4.9019768834114075e-01 -1.3340839743614197e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 104 8.8146664202213287e-03</internalNodes>
-          <leafValues>
-            -7.5805522501468658e-02 5.1142227649688721e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 105 -2.4432060308754444e-03</internalNodes>
-          <leafValues>
-            -5.3494578599929810e-01 1.3186639547348022e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 106 3.3595509827136993e-02</internalNodes>
-          <leafValues>
-            1.8829340115189552e-02 -8.7616902589797974e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>25</maxWeakCount>
-      <stageThreshold>-1.5198639631271362e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 107 -1.9901029765605927e-01</internalNodes>
-          <leafValues>
-            4.1589239239692688e-01 -4.6403810381889343e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 108 1.0957729537039995e-03</internalNodes>
-          <leafValues>
-            -2.7428150177001953e-01 2.1992009878158569e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 109 3.5783050116151571e-03</internalNodes>
-          <leafValues>
-            -2.5449270009994507e-01 5.4316788911819458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 110 3.5569820553064346e-02</internalNodes>
-          <leafValues>
-            4.2951688170433044e-02 -6.6588342189788818e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 111 -3.8403531070798635e-03</internalNodes>
-          <leafValues>
-            1.9703429937362671e-01 -5.4586201906204224e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 112 3.9690821431577206e-03</internalNodes>
-          <leafValues>
-            -5.1554411649703979e-01 2.2360439598560333e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 113 7.4965478852391243e-03</internalNodes>
-          <leafValues>
-            1.5371499955654144e-01 -6.1535251140594482e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 114 -8.9704096317291260e-03</internalNodes>
-          <leafValues>
-            1.8355900049209595e-01 -2.8429880738258362e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 115 -5.6080069392919540e-02</internalNodes>
-          <leafValues>
-            7.7755087614059448e-01 -9.8359443247318268e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 116 1.0908209718763828e-02</internalNodes>
-          <leafValues>
-            6.3484668731689453e-02 -6.9791257381439209e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 117 -9.8930671811103821e-03</internalNodes>
-          <leafValues>
-            4.0726318955421448e-01 -2.5781801342964172e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 118 1.8678830564022064e-01</internalNodes>
-          <leafValues>
-            -2.7086579799652100e-01 3.6147558689117432e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 119 -9.4373157480731606e-04</internalNodes>
-          <leafValues>
-            -5.8118808269500732e-01 1.5266190469264984e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 120 -2.6823019608855247e-02</internalNodes>
-          <leafValues>
-            7.3039489984512329e-01 -5.7183459401130676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 121 -8.4266774356365204e-03</internalNodes>
-          <leafValues>
-            -6.9740217924118042e-01 1.1783199757337570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 122 4.4732030481100082e-02</internalNodes>
-          <leafValues>
-            -6.6901608370244503e-03 -3.9551690220832825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 123 1.9846759736537933e-02</internalNodes>
-          <leafValues>
-            -2.5491309165954590e-01 2.6959219574928284e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 124 -1.1466080322861671e-03</internalNodes>
-          <leafValues>
-            -4.7784709930419922e-01 1.4147639274597168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 125 9.8631740547716618e-04</internalNodes>
-          <leafValues>
-            -2.9782509803771973e-01 2.1989880502223969e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 126 -1.3526080548763275e-01</internalNodes>
-          <leafValues>
-            7.3641002178192139e-01 -3.6679711192846298e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 127 -1.4555889647454023e-03</internalNodes>
-          <leafValues>
-            -4.9741968512535095e-01 1.4351129531860352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 128 -1.3439180329442024e-02</internalNodes>
-          <leafValues>
-            4.4307011365890503e-01 -6.1504751443862915e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 129 5.8535612188279629e-03</internalNodes>
-          <leafValues>
-            8.6272820830345154e-02 -6.9572478532791138e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 130 -3.6728219129145145e-03</internalNodes>
-          <leafValues>
-            -2.4009980261325836e-01 7.2359912097454071e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 131 2.8104060329496861e-03</internalNodes>
-          <leafValues>
-            -2.8405401110649109e-01 2.0643989741802216e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>23</maxWeakCount>
-      <stageThreshold>-1.2744859457015991e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 132 1.6374010592699051e-02</internalNodes>
-          <leafValues>
-            -3.7089619040489197e-01 5.0737190246582031e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 133 9.4187058508396149e-02</internalNodes>
-          <leafValues>
-            -3.1576469540596008e-01 4.0862488746643066e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 134 1.1773589998483658e-02</internalNodes>
-          <leafValues>
-            -3.5064500570297241e-01 3.1217798590660095e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 135 1.0922340303659439e-01</internalNodes>
-          <leafValues>
-            -1.2247060239315033e-01 2.5683128833770752e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 136 -6.6653150133788586e-03</internalNodes>
-          <leafValues>
-            2.3083719611167908e-01 -4.8135739564895630e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 137 -4.5095751993358135e-03</internalNodes>
-          <leafValues>
-            1.6601459681987762e-01 -1.2917369604110718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 138 -1.1136589571833611e-02</internalNodes>
-          <leafValues>
-            3.8687920570373535e-01 -2.2618110477924347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 139 -1.5101970732212067e-01</internalNodes>
-          <leafValues>
-            7.8407418727874756e-01 -5.6705389171838760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 140 3.5842441022396088e-02</internalNodes>
-          <leafValues>
-            -3.3353409171104431e-01 2.6884201169013977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 141 6.0237798839807510e-02</internalNodes>
-          <leafValues>
-            6.6777043044567108e-02 -5.8397102355957031e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 142 6.8902626633644104e-02</internalNodes>
-          <leafValues>
-            -3.2930138707160950e-01 2.3172050714492798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 143 -1.1977110058069229e-01</internalNodes>
-          <leafValues>
-            7.2716677188873291e-01 -1.0525380074977875e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 144 1.8936740234494209e-02</internalNodes>
-          <leafValues>
-            -1.3431450724601746e-01 5.6203877925872803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 145 8.3808198571205139e-02</internalNodes>
-          <leafValues>
-            -4.9557849764823914e-02 1.0450640320777893e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 146 3.3902268856763840e-02</internalNodes>
-          <leafValues>
-            9.9094279110431671e-02 -7.6239812374114990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 147 -8.1007126718759537e-03</internalNodes>
-          <leafValues>
-            -4.3555849790573120e-01 2.2304659709334373e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 148 2.4974169209599495e-03</internalNodes>
-          <leafValues>
-            9.3714617192745209e-02 -6.8376600742340088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 149 1.0426550172269344e-02</internalNodes>
-          <leafValues>
-            -1.1307760328054428e-01 4.3951630592346191e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 150 -2.4919810239225626e-03</internalNodes>
-          <leafValues>
-            -4.9109318852424622e-01 1.2399309873580933e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 151 -4.4614528305828571e-03</internalNodes>
-          <leafValues>
-            3.4285509586334229e-01 -1.3288980722427368e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 152 -6.9255861453711987e-03</internalNodes>
-          <leafValues>
-            4.0674179792404175e-01 -1.4747169613838196e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 153 1.4747819863259792e-02</internalNodes>
-          <leafValues>
-            -1.7921010032296181e-02 1.5927059948444366e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 154 9.8200701177120209e-03</internalNodes>
-          <leafValues>
-            8.6944580078125000e-02 -6.7220121622085571e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>29</maxWeakCount>
-      <stageThreshold>-1.3562519550323486e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 155 3.0345980077981949e-02</internalNodes>
-          <leafValues>
-            -5.6813991069793701e-01 2.7571758627891541e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 156 -4.5385681092739105e-02</internalNodes>
-          <leafValues>
-            -5.6568390130996704e-01 4.2446270585060120e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 157 -2.4006670713424683e-01</internalNodes>
-          <leafValues>
-            3.9162129163742065e-01 -3.0378338694572449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 158 -1.0817600414156914e-03</internalNodes>
-          <leafValues>
-            -7.0329940319061279e-01 1.1626099795103073e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 159 -1.6060429625213146e-03</internalNodes>
-          <leafValues>
-            2.2388499975204468e-01 -4.8557040095329285e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 160 -1.0570240020751953e-01</internalNodes>
-          <leafValues>
-            -7.4889171123504639e-01 2.8992230072617531e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 161 -2.3500300012528896e-03</internalNodes>
-          <leafValues>
-            2.3428779840469360e-01 -4.2647179961204529e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 162 -6.1817590147256851e-02</internalNodes>
-          <leafValues>
-            -8.9189022779464722e-01 -1.0216370224952698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 163 5.4469848982989788e-03</internalNodes>
-          <leafValues>
-            -2.6281470060348511e-01 3.1677961349487305e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 164 -6.7602698691189289e-03</internalNodes>
-          <leafValues>
-            -7.9144752025604248e-01 1.2072199955582619e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 165 7.8887082054279745e-05</internalNodes>
-          <leafValues>
-            -4.4443818926811218e-01 1.9887650012969971e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 166 6.4817398786544800e-02</internalNodes>
-          <leafValues>
-            -2.3440040647983551e-01 2.8372839093208313e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 167 2.9690501093864441e-01</internalNodes>
-          <leafValues>
-            -1.1379630118608475e-01 8.4734469652175903e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 168 -1.2669449672102928e-02</internalNodes>
-          <leafValues>
-            -5.3791618347167969e-01 5.0364010035991669e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 169 3.2963419798761606e-03</internalNodes>
-          <leafValues>
-            9.5009326934814453e-02 -6.9295811653137207e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 170 8.1940039992332458e-02</internalNodes>
-          <leafValues>
-            6.4861620776355267e-03 -4.8242160677909851e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 171 4.5874840579926968e-03</internalNodes>
-          <leafValues>
-            7.4269242584705353e-02 -8.5056728124618530e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 172 1.3228190131485462e-02</internalNodes>
-          <leafValues>
-            -1.8141390383243561e-01 5.5488282442092896e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 173 8.3280639955773950e-05</internalNodes>
-          <leafValues>
-            -3.5342589020729065e-01 1.6182580590248108e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 174 9.3232236802577972e-02</internalNodes>
-          <leafValues>
-            3.6166220903396606e-02 -3.9560291171073914e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 175 -1.7989000305533409e-02</internalNodes>
-          <leafValues>
-            1.8585060536861420e-01 -2.9997050762176514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 176 8.5582181811332703e-02</internalNodes>
-          <leafValues>
-            -2.3212260566651821e-03 -7.5706237554550171e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 177 1.4874819666147232e-02</internalNodes>
-          <leafValues>
-            -2.1825970709323883e-01 2.7366569638252258e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 178 2.0184369757771492e-02</internalNodes>
-          <leafValues>
-            3.5116590559482574e-02 -4.5619380474090576e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 179 1.4273890294134617e-02</internalNodes>
-          <leafValues>
-            -1.2478730082511902e-01 6.1065578460693359e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 180 2.6945620775222778e-02</internalNodes>
-          <leafValues>
-            -5.6217260658740997e-02 4.3960160017013550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 181 -1.4722250401973724e-02</internalNodes>
-          <leafValues>
-            -7.0504772663116455e-01 8.9823968708515167e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 182 -3.9676232263445854e-03</internalNodes>
-          <leafValues>
-            -2.0258559286594391e-01 2.4594809859991074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 183 -6.9255158305168152e-02</internalNodes>
-          <leafValues>
-            7.7862018346786499e-01 -8.2329802215099335e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>34</maxWeakCount>
-      <stageThreshold>-1.4609309434890747e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 184 4.2280860245227814e-02</internalNodes>
-          <leafValues>
-            -4.3323940038681030e-01 3.1084230542182922e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 185 3.2466039061546326e-02</internalNodes>
-          <leafValues>
-            -2.5457349419593811e-01 2.8453230857849121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 186 3.9204079657793045e-03</internalNodes>
-          <leafValues>
-            -2.4197019636631012e-01 3.8850378990173340e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 187 1.4881529845297337e-02</internalNodes>
-          <leafValues>
-            -2.0224849879741669e-01 2.0803029835224152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 188 -4.8258059541694820e-04</internalNodes>
-          <leafValues>
-            2.0644129812717438e-01 -4.6135428547859192e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 189 1.0871110111474991e-01</internalNodes>
-          <leafValues>
-            -1.1968149803578854e-02 -8.3505737781524658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 190 1.1553530202945694e-04</internalNodes>
-          <leafValues>
-            -6.2181282043457031e-01 1.2894719839096069e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 191 1.9984820391982794e-03</internalNodes>
-          <leafValues>
-            1.2071420252323151e-01 -5.1865231990814209e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 192 -1.9442409393377602e-04</internalNodes>
-          <leafValues>
-            1.5316960215568542e-01 -4.6682178974151611e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 193 3.4691508859395981e-02</internalNodes>
-          <leafValues>
-            5.2325479686260223e-02 -5.6493771076202393e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 194 1.2708869576454163e-01</internalNodes>
-          <leafValues>
-            -1.1623410135507584e-01 6.6390967369079590e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 195 1.8425850570201874e-01</internalNodes>
-          <leafValues>
-            -2.9410699009895325e-01 2.7760609984397888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 196 -1.0079169645905495e-02</internalNodes>
-          <leafValues>
-            2.0110170543193817e-01 -3.7747490406036377e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 197 2.3211309686303139e-02</internalNodes>
-          <leafValues>
-            -1.5770949423313141e-01 4.1628879308700562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 198 -8.5837738588452339e-03</internalNodes>
-          <leafValues>
-            -6.4297300577163696e-01 9.1064400970935822e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 199 3.0105128884315491e-01</internalNodes>
-          <leafValues>
-            1.8554370850324631e-02 -3.6014398932456970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 200 5.5468631908297539e-03</internalNodes>
-          <leafValues>
-            1.1459550261497498e-01 -5.0818997621536255e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 201 -3.2614849042147398e-03</internalNodes>
-          <leafValues>
-            -6.5068858861923218e-01 7.1761913597583771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 202 -2.1482119336724281e-03</internalNodes>
-          <leafValues>
-            1.3169400393962860e-01 -3.7837469577789307e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 203 4.2770840227603912e-03</internalNodes>
-          <leafValues>
-            4.9258850514888763e-02 -5.8316987752914429e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 204 -2.8884320054203272e-03</internalNodes>
-          <leafValues>
-            3.1445708870887756e-01 -1.6602359712123871e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 205 -4.7958120703697205e-02</internalNodes>
-          <leafValues>
-            -7.2590202093124390e-01 1.5948530286550522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 206 2.6324709877371788e-02</internalNodes>
-          <leafValues>
-            7.4111200869083405e-02 -6.6733390092849731e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 207 1.3688339851796627e-02</internalNodes>
-          <leafValues>
-            4.7244258224964142e-02 -3.2059279084205627e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 208 1.5577600337564945e-02</internalNodes>
-          <leafValues>
-            -9.6644677221775055e-02 5.0794398784637451e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 209 -8.4227044135332108e-03</internalNodes>
-          <leafValues>
-            -9.9238747358322144e-01 2.0270830020308495e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 210 3.8861939683556557e-03</internalNodes>
-          <leafValues>
-            7.3856048285961151e-02 -6.7188322544097900e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 211 -3.3598121255636215e-02</internalNodes>
-          <leafValues>
-            -7.3445242643356323e-01 5.7080879807472229e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 212 1.7251629382371902e-02</internalNodes>
-          <leafValues>
-            -1.3607659935951233e-01 4.2951139807701111e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 213 -3.1715810298919678e-02</internalNodes>
-          <leafValues>
-            -7.4400889873504639e-01 3.3651608973741531e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 214 1.0187040083110332e-02</internalNodes>
-          <leafValues>
-            -1.6512380540370941e-01 3.5162070393562317e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 215 3.7060850299894810e-03</internalNodes>
-          <leafValues>
-            6.8452596664428711e-02 -1.8737269937992096e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 216 -9.5564024522900581e-03</internalNodes>
-          <leafValues>
-            -5.8053100109100342e-01 8.2600042223930359e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 217 -1.4073489606380463e-01</internalNodes>
-          <leafValues>
-            -1. -6.1561721377074718e-03</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>43</maxWeakCount>
-      <stageThreshold>-1.4843599796295166e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 218 8.2872863858938217e-03</internalNodes>
-          <leafValues>
-            -3.3240118622779846e-01 4.0866941213607788e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 219 -5.3943969309329987e-02</internalNodes>
-          <leafValues>
-            2.7990311384201050e-01 -3.5782578587532043e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 220 -1.1539819650352001e-02</internalNodes>
-          <leafValues>
-            2.1358589828014374e-01 -4.5100399851799011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 221 -1.5745559707283974e-02</internalNodes>
-          <leafValues>
-            2.1471889317035675e-01 -9.9175170063972473e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 222 -1.3527829432860017e-03</internalNodes>
-          <leafValues>
-            1.5119549632072449e-01 -5.2674210071563721e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 223 -1.1468210257589817e-02</internalNodes>
-          <leafValues>
-            1.3523469865322113e-01 -3.7286050617694855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 224 8.5535906255245209e-03</internalNodes>
-          <leafValues>
-            -2.5730869174003601e-01 2.4693550169467926e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 225 5.6266319006681442e-02</internalNodes>
-          <leafValues>
-            -2.1571849286556244e-01 1.8734970688819885e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 226 2.0349300466477871e-03</internalNodes>
-          <leafValues>
-            8.9395299553871155e-02 -6.2484967708587646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 227 -1.0920839849859476e-03</internalNodes>
-          <leafValues>
-            -3.2366481423377991e-01 6.9054901599884033e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 228 -5.1597058773040771e-02</internalNodes>
-          <leafValues>
-            6.1383968591690063e-01 -9.5396347343921661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 229 1.7433969303965569e-02</internalNodes>
-          <leafValues>
-            -2.5729641318321228e-01 2.5275719165802002e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 230 7.6819643378257751e-02</internalNodes>
-          <leafValues>
-            8.7492428719997406e-02 -6.7382502555847168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 231 8.0648958683013916e-02</internalNodes>
-          <leafValues>
-            -5.7000648230314255e-02 4.2771929502487183e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 232 7.0360638201236725e-03</internalNodes>
-          <leafValues>
-            -4.2870849370956421e-01 1.4574399590492249e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 233 4.9487157957628369e-04</internalNodes>
-          <leafValues>
-            -4.4867759943008423e-01 8.7952293455600739e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 234 -2.0319919567555189e-03</internalNodes>
-          <leafValues>
-            -6.9378471374511719e-01 7.9090960323810577e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 235 1.5986919403076172e-02</internalNodes>
-          <leafValues>
-            -1.8177279829978943e-01 3.3544349670410156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 236 1.0031439887825400e-04</internalNodes>
-          <leafValues>
-            -2.8036159276962280e-01 1.8939669430255890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 237 -2.0664870738983154e-01</internalNodes>
-          <leafValues>
-            -7.0004421472549438e-01 6.2915571033954620e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 238 1.0939550120383501e-03</internalNodes>
-          <leafValues>
-            -5.6122779846191406e-01 7.9117156565189362e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 239 1.0714650154113770e-02</internalNodes>
-          <leafValues>
-            3.6672711372375488e-02 -4.8171210289001465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 240 1.2993469834327698e-02</internalNodes>
-          <leafValues>
-            -1.3089600205421448e-01 3.2844379544258118e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 241 5.4268362000584602e-03</internalNodes>
-          <leafValues>
-            4.6886149793863297e-02 -5.8115488290786743e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 242 1.0718739591538906e-02</internalNodes>
-          <leafValues>
-            5.9297699481248856e-02 -6.6856807470321655e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 243 -3.1285220757126808e-03</internalNodes>
-          <leafValues>
-            -3.5857740044593811e-01 2.8134709224104881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 244 5.2357040112838149e-04</internalNodes>
-          <leafValues>
-            -3.4198528528213501e-01 1.2199939787387848e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 245 1.0644399560987949e-02</internalNodes>
-          <leafValues>
-            3.9803087711334229e-03 -6.9705927371978760e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 246 1.5901770442724228e-02</internalNodes>
-          <leafValues>
-            -7.6809287071228027e-02 5.2953928709030151e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 247 -1.0395360179245472e-02</internalNodes>
-          <leafValues>
-            -6.4491081237792969e-01 1.0781600140035152e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 248 3.7131321150809526e-03</internalNodes>
-          <leafValues>
-            6.6979996860027313e-02 -6.2111258506774902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 249 2.3174570873379707e-02</internalNodes>
-          <leafValues>
-            1.6732679679989815e-02 -4.5888119935989380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 250 1.1146579869091511e-02</internalNodes>
-          <leafValues>
-            -1.1638499796390533e-01 4.3002909421920776e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 251 1.2715480290353298e-02</internalNodes>
-          <leafValues>
-            1.6517929732799530e-02 -6.6795057058334351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 252 -1.2653400190174580e-02</internalNodes>
-          <leafValues>
-            1.1365109682083130e-01 -3.7035998702049255e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 253 -7.1139880456030369e-03</internalNodes>
-          <leafValues>
-            1.7468209564685822e-01 -1.2769439816474915e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 254 -1.3703290373086929e-02</internalNodes>
-          <leafValues>
-            4.2330458760261536e-01 -9.5448397099971771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 255 7.5888428837060928e-03</internalNodes>
-          <leafValues>
-            -8.7192570790648460e-03 3.0307659506797791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 256 -5.7711452245712280e-04</internalNodes>
-          <leafValues>
-            -5.0375598669052124e-01 9.0188682079315186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 257 -6.1391671188175678e-03</internalNodes>
-          <leafValues>
-            -6.0663592815399170e-01 4.6589769423007965e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 258 9.4300412456505001e-05</internalNodes>
-          <leafValues>
-            -2.6559790968894958e-01 1.5030109882354736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 259 -2.4399429559707642e-01</internalNodes>
-          <leafValues>
-            6.4060389995574951e-01 -6.8897739052772522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 260 -1.2823240458965302e-01</internalNodes>
-          <leafValues>
-            2.1190899610519409e-01 -2.7341139316558838e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>42</maxWeakCount>
-      <stageThreshold>-1.4225620031356812e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 261 -9.8697589710354805e-03</internalNodes>
-          <leafValues>
-            4.8807978630065918e-01 -2.6589471101760864e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 262 3.3131919801235199e-02</internalNodes>
-          <leafValues>
-            3.2597500830888748e-02 -6.3295251131057739e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 263 1.7511799931526184e-02</internalNodes>
-          <leafValues>
-            -3.5473251342773438e-01 2.8011149168014526e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 264 -7.3885500431060791e-02</internalNodes>
-          <leafValues>
-            4.7378170490264893e-01 -1.1292530223727226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 265 1.8212760332971811e-03</internalNodes>
-          <leafValues>
-            -4.6179610490798950e-01 1.4266149699687958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 266 -8.5360601544380188e-02</internalNodes>
-          <leafValues>
-            -6.6754668951034546e-01 7.5132578611373901e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 267 -2.7539798617362976e-01</internalNodes>
-          <leafValues>
-            3.8147959113121033e-01 -2.3665140569210052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 268 3.0699970200657845e-02</internalNodes>
-          <leafValues>
-            5.1691979169845581e-02 -2.4286730587482452e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 269 -9.6332989633083344e-03</internalNodes>
-          <leafValues>
-            3.3072310686111450e-01 -2.0818190276622772e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 270 1.6330240294337273e-02</internalNodes>
-          <leafValues>
-            3.4118140320060775e-05 -8.0960237979888916e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 271 8.6133222794160247e-05</internalNodes>
-          <leafValues>
-            -3.7730661034584045e-01 1.3947279751300812e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 272 -3.0760519206523895e-02</internalNodes>
-          <leafValues>
-            6.7611587047576904e-01 -1.4665770344436169e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 273 6.8717780523002148e-03</internalNodes>
-          <leafValues>
-            -1.6677060723304749e-01 3.0840030312538147e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 274 1.7696250230073929e-02</internalNodes>
-          <leafValues>
-            3.8468770682811737e-02 -5.9128028154373169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 275 1.4457659795880318e-02</internalNodes>
-          <leafValues>
-            7.1180373430252075e-02 -6.8788748979568481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 276 4.4003669172525406e-03</internalNodes>
-          <leafValues>
-            -1.7107939720153809e-01 3.3334150910377502e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 277 -1.9785019103437662e-03</internalNodes>
-          <leafValues>
-            -6.3402158021926880e-01 8.5248172283172607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 278 -3.5506778955459595e-01</internalNodes>
-          <leafValues>
-            6.9163411855697632e-01 -8.7763786315917969e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 279 1.2596770189702511e-02</internalNodes>
-          <leafValues>
-            -2.0116379857063293e-01 3.4040948748588562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 280 -2.3926040157675743e-03</internalNodes>
-          <leafValues>
-            -6.2525659799575806e-01 1.1060170084238052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 281 -8.7672837253194302e-05</internalNodes>
-          <leafValues>
-            1.4002850651741028e-01 -3.9103108644485474e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 282 5.4524061270058155e-03</internalNodes>
-          <leafValues>
-            -3.1052809953689575e-01 6.3757672905921936e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 283 1.2568219564855099e-02</internalNodes>
-          <leafValues>
-            -1.3675519824028015e-01 3.2680550217628479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 284 3.7843358516693115e-01</internalNodes>
-          <leafValues>
-            -3.7364691495895386e-02 3.7789309024810791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 285 -3.3601790200918913e-03</internalNodes>
-          <leafValues>
-            2.9605069756507874e-01 -1.5206739306449890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 286 -4.3185380101203918e-01</internalNodes>
-          <leafValues>
-            -6.8029761314392090e-01 1.2745309621095657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 287 7.3479618877172470e-03</internalNodes>
-          <leafValues>
-            -6.6707527637481689e-01 6.7926846444606781e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 288 7.5943907722830772e-03</internalNodes>
-          <leafValues>
-            -1.1112800240516663e-01 2.2462299466133118e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 289 -7.3589297244325280e-05</internalNodes>
-          <leafValues>
-            1.3988719880580902e-01 -3.4220328927040100e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 290 -1.0304169700248167e-04</internalNodes>
-          <leafValues>
-            8.2018472254276276e-02 -1.0476870089769363e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 291 -5.4624290205538273e-03</internalNodes>
-          <leafValues>
-            -5.1264250278472900e-01 9.2095062136650085e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 292 1.9663229584693909e-02</internalNodes>
-          <leafValues>
-            6.1935991048812866e-02 -6.1648821830749512e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 293 -1.1055600043619052e-04</internalNodes>
-          <leafValues>
-            1.4308770000934601e-01 -2.7447059750556946e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 294 3.8737419527024031e-03</internalNodes>
-          <leafValues>
-            -1.0690200328826904e-01 2.0657220482826233e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 295 -4.5131230726838112e-03</internalNodes>
-          <leafValues>
-            3.4341660141944885e-01 -1.2317349761724472e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 296 -6.1594668775796890e-02</internalNodes>
-          <leafValues>
-            9.3623742461204529e-02 -4.5765519142150879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 297 1.2142979539930820e-03</internalNodes>
-          <leafValues>
-            -1.3058850169181824e-01 3.0691918730735779e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 298 1.3168719410896301e-01</internalNodes>
-          <leafValues>
-            1.1348670348525047e-02 -3.6062520742416382e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 299 -9.8962578922510147e-03</internalNodes>
-          <leafValues>
-            9.7268536686897278e-02 -4.5470228791236877e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 300 -4.3822340667247772e-03</internalNodes>
-          <leafValues>
-            -6.9014567136764526e-01 7.1008093655109406e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 301 -2.4433590471744537e-02</internalNodes>
-          <leafValues>
-            5.0112801790237427e-01 -9.8408728837966919e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 302 -8.6958734318614006e-03</internalNodes>
-          <leafValues>
-            -1.4006440341472626e-01 3.6845669150352478e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>37</maxWeakCount>
-      <stageThreshold>-1.3051190376281738e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 303 -1.7152750864624977e-02</internalNodes>
-          <leafValues>
-            4.7029718756675720e-01 -2.2067089378833771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 304 8.3040937781333923e-02</internalNodes>
-          <leafValues>
-            5.5113639682531357e-02 -5.5488407611846924e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 305 1.2245059758424759e-01</internalNodes>
-          <leafValues>
-            -2.8312590718269348e-01 3.4973090887069702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 306 7.3496531695127487e-03</internalNodes>
-          <leafValues>
-            -1.3282130658626556e-01 4.8876601457595825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 307 -9.3082878738641739e-03</internalNodes>
-          <leafValues>
-            4.5475938916206360e-01 -1.4194749295711517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 308 1.7290420830249786e-02</internalNodes>
-          <leafValues>
-            9.8470740020275116e-02 -6.8155962228775024e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 309 6.8027682602405548e-02</internalNodes>
-          <leafValues>
-            1.2287759780883789e-01 -5.8085542917251587e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 310 -2.5710109621286392e-03</internalNodes>
-          <leafValues>
-            -2.8932929039001465e-01 9.2327423393726349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 311 -2.7197790332138538e-03</internalNodes>
-          <leafValues>
-            -4.8277780413627625e-01 1.2942260503768921e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 312 3.6168839782476425e-02</internalNodes>
-          <leafValues>
-            -3.3225961029529572e-02 2.8994488716125488e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 313 -4.5704417861998081e-03</internalNodes>
-          <leafValues>
-            -5.9805792570114136e-01 1.0446850210428238e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 314 3.7568379193544388e-03</internalNodes>
-          <leafValues>
-            1.2488850206136703e-01 -5.7084852457046509e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 315 3.0054030939936638e-03</internalNodes>
-          <leafValues>
-            -3.2693040370941162e-01 1.9752669334411621e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 316 -1.0322710126638412e-01</internalNodes>
-          <leafValues>
-            5.9689277410507202e-01 -9.9626749753952026e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 317 8.5584551095962524e-02</internalNodes>
-          <leafValues>
-            -2.3595149815082550e-01 2.7769410610198975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 318 -1.7628820613026619e-02</internalNodes>
-          <leafValues>
-            2.3300230503082275e-01 -3.8094460964202881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 319 -7.3259319178760052e-03</internalNodes>
-          <leafValues>
-            1.5533800423145294e-01 -3.4289830923080444e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 320 1.6643910109996796e-01</internalNodes>
-          <leafValues>
-            1.3593060430139303e-04 -6.0628050565719604e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 321 1.3041920028626919e-02</internalNodes>
-          <leafValues>
-            1.0876829922199249e-01 -4.7265630960464478e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 322 -1.3597619719803333e-02</internalNodes>
-          <leafValues>
-            -5.8280581235885620e-01 7.2698637843132019e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 323 6.8220919929444790e-03</internalNodes>
-          <leafValues>
-            -1.4359709620475769e-01 3.4434759616851807e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 324 -1.3025919906795025e-04</internalNodes>
-          <leafValues>
-            7.5394742190837860e-02 -6.7537508904933929e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 325 -2.4602119810879230e-03</internalNodes>
-          <leafValues>
-            -5.1882988214492798e-01 8.0956049263477325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 326 -3.2538071274757385e-02</internalNodes>
-          <leafValues>
-            -5.8500260114669800e-01 5.7338178157806396e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 327 2.0106420852243900e-03</internalNodes>
-          <leafValues>
-            -1.0640989989042282e-01 4.0276700258255005e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 328 -4.6432539820671082e-02</internalNodes>
-          <leafValues>
-            -4.2023709416389465e-01 4.2063061147928238e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 329 -1.2824350036680698e-02</internalNodes>
-          <leafValues>
-            4.8449409008026123e-01 -9.4362497329711914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 330 3.4120719879865646e-02</internalNodes>
-          <leafValues>
-            2.7428179979324341e-02 -5.6730318069458008e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 331 -4.4012650847434998e-02</internalNodes>
-          <leafValues>
-            3.7047350406646729e-01 -1.3064679503440857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 332 -3.7362610455602407e-03</internalNodes>
-          <leafValues>
-            -6.1717242002487183e-01 4.6860579401254654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 333 -5.2141821943223476e-03</internalNodes>
-          <leafValues>
-            -6.5322470664978027e-01 5.3996030241250992e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 334 6.4924731850624084e-03</internalNodes>
-          <leafValues>
-            4.4800970703363419e-02 -4.3987420201301575e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 335 -4.2384970001876354e-03</internalNodes>
-          <leafValues>
-            -7.1687930822372437e-01 5.4430369287729263e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 336 -3.1804300379008055e-03</internalNodes>
-          <leafValues>
-            2.4815900623798370e-01 -8.9008152484893799e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 337 2.9277798603288829e-04</internalNodes>
-          <leafValues>
-            -2.1440739929676056e-01 2.0239150524139404e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 338 -1.1838439851999283e-02</internalNodes>
-          <leafValues>
-            6.8225288391113281e-01 -5.6109890341758728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 339 -2.0604960620403290e-02</internalNodes>
-          <leafValues>
-            -6.4495718479156494e-01 6.5811157226562500e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>45</maxWeakCount>
-      <stageThreshold>-1.2928479909896851e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 340 -5.7252319529652596e-03</internalNodes>
-          <leafValues>
-            3.4108111262321472e-01 -3.3441230654716492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 341 1.5814049541950226e-01</internalNodes>
-          <leafValues>
-            -2.9555070400238037e-01 2.9280221462249756e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 342 3.5558689851313829e-03</internalNodes>
-          <leafValues>
-            -2.8485581278800964e-01 2.4933080375194550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 343 -3.1524680089205503e-03</internalNodes>
-          <leafValues>
-            -4.6672669053077698e-01 7.6127722859382629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 344 -1.4493550173938274e-02</internalNodes>
-          <leafValues>
-            2.5777289271354675e-01 -2.4369129538536072e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 345 -6.8386606872081757e-02</internalNodes>
-          <leafValues>
-            5.2669358253479004e-01 8.9219277724623680e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 346 1.0660409461706877e-03</internalNodes>
-          <leafValues>
-            -4.9784231185913086e-01 1.1696430295705795e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 347 1.6208799555897713e-02</internalNodes>
-          <leafValues>
-            -3.0983239412307739e-01 9.5886580646038055e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 348 2.8249868750572205e-01</internalNodes>
-          <leafValues>
-            -7.3715627193450928e-02 6.4200782775878906e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 349 8.6361259222030640e-02</internalNodes>
-          <leafValues>
-            4.0710549801588058e-02 -5.0559818744659424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 350 5.1451180130243301e-02</internalNodes>
-          <leafValues>
-            -3.3384099602699280e-01 1.6614030301570892e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 351 -6.9037936627864838e-02</internalNodes>
-          <leafValues>
-            -3.1987860798835754e-01 3.4255299717187881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 352 -5.6569739244878292e-03</internalNodes>
-          <leafValues>
-            -6.1266559362411499e-01 8.3148159086704254e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 353 -7.1886749938130379e-03</internalNodes>
-          <leafValues>
-            4.2386818677186966e-02 -9.7789242863655090e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 354 -2.6780599728226662e-02</internalNodes>
-          <leafValues>
-            1.2735369801521301e-01 -3.4852239489555359e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 355 -6.9346590898931026e-03</internalNodes>
-          <leafValues>
-            4.4443860650062561e-02 -2.6666578650474548e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 356 1.2057109922170639e-01</internalNodes>
-          <leafValues>
-            9.1515138745307922e-02 -5.5102181434631348e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 357 1.0571300052106380e-02</internalNodes>
-          <leafValues>
-            -1.1927139759063721e-01 1.5043540298938751e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 358 -1.4446419663727283e-02</internalNodes>
-          <leafValues>
-            3.2619118690490723e-01 -1.3021939992904663e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 359 4.9188970588147640e-03</internalNodes>
-          <leafValues>
-            2.4317760020494461e-02 -5.8825939893722534e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 360 -3.8240209687501192e-03</internalNodes>
-          <leafValues>
-            -6.5660482645034790e-01 6.3337683677673340e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 361 -1.7404669523239136e-01</internalNodes>
-          <leafValues>
-            -5.4772597551345825e-01 6.0019370168447495e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 362 4.5922618359327316e-02</internalNodes>
-          <leafValues>
-            5.0438169389963150e-02 -6.9467681646347046e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 363 -3.9035470690578222e-03</internalNodes>
-          <leafValues>
-            2.2018410265445709e-01 -1.8376649916172028e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 364 1.7436769558116794e-03</internalNodes>
-          <leafValues>
-            6.1212658882141113e-02 -5.7988357543945312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 365 -9.7301546484231949e-03</internalNodes>
-          <leafValues>
-            -5.1599711179733276e-01 4.9021121114492416e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 366 -5.0866428762674332e-02</internalNodes>
-          <leafValues>
-            4.3118700385093689e-01 -9.5599338412284851e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 367 1.5334750059992075e-04</internalNodes>
-          <leafValues>
-            -8.4842063486576080e-02 5.3982339799404144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 368 -7.9509448260068893e-03</internalNodes>
-          <leafValues>
-            4.7792288661003113e-01 -9.3340940773487091e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 369 -4.4662738218903542e-03</internalNodes>
-          <leafValues>
-            -6.6406428813934326e-01 7.0635370910167694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 370 6.7459428682923317e-03</internalNodes>
-          <leafValues>
-            -9.5945097506046295e-02 4.5204031467437744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 371 -4.8576910048723221e-02</internalNodes>
-          <leafValues>
-            -2.5402069091796875e-01 3.5480510443449020e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 372 -8.1895291805267334e-03</internalNodes>
-          <leafValues>
-            -6.9631862640380859e-01 5.4189778864383698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 373 -1.3830559328198433e-04</internalNodes>
-          <leafValues>
-            7.7265933156013489e-02 -4.3882951140403748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 374 -2.9827160760760307e-02</internalNodes>
-          <leafValues>
-            5.1934647560119629e-01 -7.4816159904003143e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 375 1.9728230312466621e-02</internalNodes>
-          <leafValues>
-            4.6895399689674377e-02 -5.6989020109176636e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 376 1.2107780203223228e-02</internalNodes>
-          <leafValues>
-            -1.3739739358425140e-01 3.2666760683059692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 377 6.9206808693706989e-03</internalNodes>
-          <leafValues>
-            4.6539328992366791e-02 -4.9861478805541992e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 378 7.5631309300661087e-03</internalNodes>
-          <leafValues>
-            -1.0235120356082916e-01 3.9567971229553223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 379 -2.3844289779663086e-01</internalNodes>
-          <leafValues>
-            -7.1881687641143799e-01 4.9742348492145538e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 380 -9.2327659949660301e-03</internalNodes>
-          <leafValues>
-            4.8625311255455017e-01 -7.8327029943466187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 381 1.2344529852271080e-02</internalNodes>
-          <leafValues>
-            -4.5567270368337631e-02 1.6513639688491821e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 382 -1.0889769764617085e-03</internalNodes>
-          <leafValues>
-            2.3016020655632019e-01 -1.4696329832077026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 383 -5.1214238628745079e-03</internalNodes>
-          <leafValues>
-            1.7787009477615356e-01 -1.9967870414257050e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 384 2.3381220176815987e-02</internalNodes>
-          <leafValues>
-            3.9966959506273270e-02 -7.6583552360534668e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>49</maxWeakCount>
-      <stageThreshold>-1.3127609491348267e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 385 5.8875479735434055e-03</internalNodes>
-          <leafValues>
-            -2.6197949051856995e-01 3.9267268776893616e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 386 -2.0563710480928421e-02</internalNodes>
-          <leafValues>
-            2.3240800201892853e-01 -3.6058109253644943e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 387 2.4195060133934021e-02</internalNodes>
-          <leafValues>
-            -1.7246599495410919e-01 4.0554100275039673e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 388 2.2053229808807373e-01</internalNodes>
-          <leafValues>
-            -2.4937939643859863e-01 2.4980540573596954e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 389 8.1213507801294327e-03</internalNodes>
-          <leafValues>
-            9.8432846367359161e-02 -5.0667357444763184e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 390 -1.5637070173397660e-03</internalNodes>
-          <leafValues>
-            -4.1526609659194946e-01 1.3340100646018982e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 391 1.2210609856992960e-03</internalNodes>
-          <leafValues>
-            -2.5663951039314270e-01 2.1268320083618164e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 392 4.5655488967895508e-02</internalNodes>
-          <leafValues>
-            8.5712976753711700e-02 -5.5701047182083130e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 393 -1.7322370782494545e-02</internalNodes>
-          <leafValues>
-            1.0083419829607010e-01 -4.3052899837493896e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 394 2.7879169210791588e-02</internalNodes>
-          <leafValues>
-            4.4392268173396587e-03 -5.7203328609466553e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 395 -4.7942388802766800e-02</internalNodes>
-          <leafValues>
-            4.9971351027488708e-01 -1.0569220036268234e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 396 -9.0003162622451782e-02</internalNodes>
-          <leafValues>
-            7.7226841449737549e-01 -3.5037949681282043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 397 2.1878979168832302e-03</internalNodes>
-          <leafValues>
-            -4.3980291485786438e-01 1.0962349921464920e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 398 -1.1160460300743580e-02</internalNodes>
-          <leafValues>
-            -6.0748499631881714e-01 2.5118330493569374e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 399 2.3293609265238047e-03</internalNodes>
-          <leafValues>
-            7.4755467474460602e-02 -5.6645327806472778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 400 -3.2051369547843933e-02</internalNodes>
-          <leafValues>
-            1.3710969686508179e-01 -1.4014610648155212e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 401 -1.0117290169000626e-01</internalNodes>
-          <leafValues>
-            6.2204962968826294e-01 -6.4412176609039307e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 402 4.2040869593620300e-02</internalNodes>
-          <leafValues>
-            -8.5930466651916504e-02 4.9315661191940308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 403 2.5582410395145416e-02</internalNodes>
-          <leafValues>
-            6.1051581054925919e-02 -6.5449321269989014e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 404 1.0514019988477230e-02</internalNodes>
-          <leafValues>
-            -1.0234809666872025e-01 2.6112779974937439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 405 1.1631770030362532e-04</internalNodes>
-          <leafValues>
-            -3.1768348813056946e-01 1.2542060017585754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 406 -4.4300020672380924e-03</internalNodes>
-          <leafValues>
-            1.9109399616718292e-01 -5.2662618458271027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 407 2.0806640386581421e-03</internalNodes>
-          <leafValues>
-            -1.4428110420703888e-01 3.0112838745117188e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 408 5.4104570299386978e-03</internalNodes>
-          <leafValues>
-            -5.4554589092731476e-02 3.5240170359611511e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 409 1.0801830329000950e-02</internalNodes>
-          <leafValues>
-            5.5018458515405655e-02 -7.4443417787551880e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 410 4.2296931147575378e-02</internalNodes>
-          <leafValues>
-            6.1844110488891602e-02 -3.3144399523735046e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 411 5.9895617887377739e-03</internalNodes>
-          <leafValues>
-            6.4745798707008362e-02 -5.6030327081680298e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 412 -9.4227874651551247e-03</internalNodes>
-          <leafValues>
-            -3.0067789554595947e-01 4.3195281177759171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 413 -2.0783370360732079e-02</internalNodes>
-          <leafValues>
-            3.7524980306625366e-01 -1.0968690365552902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 414 -5.2015861729159951e-04</internalNodes>
-          <leafValues>
-            -1.1337819695472717e-01 3.7144880741834641e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 415 -8.0162001540884376e-04</internalNodes>
-          <leafValues>
-            -5.2545320987701416e-01 6.6209748387336731e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 416 -2.5214110501110554e-03</internalNodes>
-          <leafValues>
-            -1.5936410427093506e-01 5.1849711686372757e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 417 9.0704779722727835e-05</internalNodes>
-          <leafValues>
-            -3.3334940671920776e-01 1.0919860005378723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 418 -1.8114539561793208e-03</internalNodes>
-          <leafValues>
-            1.1214060336351395e-01 -9.0960927307605743e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 419 -1.9519029557704926e-01</internalNodes>
-          <leafValues>
-            -7.2080957889556885e-01 5.0182379782199860e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 420 -1.4884449541568756e-02</internalNodes>
-          <leafValues>
-            -6.0010558366775513e-01 9.1695934534072876e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 421 -9.3493862077593803e-03</internalNodes>
-          <leafValues>
-            4.8005661368370056e-01 -7.6954081654548645e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 422 7.1461386978626251e-02</internalNodes>
-          <leafValues>
-            -5.7781968265771866e-02 2.6106640696525574e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 423 5.1590640097856522e-02</internalNodes>
-          <leafValues>
-            7.1806840598583221e-02 -4.6015501022338867e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 424 3.0857140664011240e-03</internalNodes>
-          <leafValues>
-            -9.2065691947937012e-02 1.1266019940376282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 425 1.7517179949209094e-03</internalNodes>
-          <leafValues>
-            -1.9908079504966736e-01 1.9879740476608276e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 426 6.3493461348116398e-03</internalNodes>
-          <leafValues>
-            -1.0544289648532867e-01 4.3338119983673096e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 427 4.2910311371088028e-02</internalNodes>
-          <leafValues>
-            5.2926450967788696e-02 -6.6493779420852661e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 428 -2.8933840990066528e-01</internalNodes>
-          <leafValues>
-            -5.9245282411575317e-01 5.0023719668388367e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 429 1.9839199259877205e-02</internalNodes>
-          <leafValues>
-            4.1037648916244507e-02 -6.7570680379867554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 430 -2.9357530176639557e-02</internalNodes>
-          <leafValues>
-            -6.5960741043090820e-01 4.1811358183622360e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 431 8.8180392980575562e-02</internalNodes>
-          <leafValues>
-            6.5817430615425110e-02 -4.4950678944587708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 432 -1.3282440602779388e-01</internalNodes>
-          <leafValues>
-            -2.1098449826240540e-01 3.9650738239288330e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 433 8.0266319855581969e-05</internalNodes>
-          <leafValues>
-            -2.5888821482658386e-01 1.1488880217075348e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>55</maxWeakCount>
-      <stageThreshold>-1.3777979612350464e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 434 6.5426998771727085e-03</internalNodes>
-          <leafValues>
-            -2.2366699576377869e-01 4.7720021009445190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 435 -2.2333480592351407e-04</internalNodes>
-          <leafValues>
-            1.0184849798679352e-01 -1.8614460527896881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 436 -6.0191731899976730e-03</internalNodes>
-          <leafValues>
-            3.1382268667221069e-01 -2.3328569531440735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 437 1.7179940640926361e-01</internalNodes>
-          <leafValues>
-            -2.9191988706588745e-01 2.1794080734252930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 438 1.6310229897499084e-02</internalNodes>
-          <leafValues>
-            -1.4051440358161926e-01 3.2606941461563110e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 439 -1.5107460319995880e-01</internalNodes>
-          <leafValues>
-            6.4690059423446655e-01 -5.2486609667539597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 440 4.6439900994300842e-02</internalNodes>
-          <leafValues>
-            -2.4340909719467163e-01 2.6854258775711060e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 441 -4.3716500513255596e-03</internalNodes>
-          <leafValues>
-            -2.9228550195693970e-01 9.8407112061977386e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 442 1.6864160075783730e-02</internalNodes>
-          <leafValues>
-            -2.8363880515098572e-01 1.9571739435195923e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 443 2.5575649924576283e-03</internalNodes>
-          <leafValues>
-            4.4347479939460754e-02 -1.3447460532188416e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 444 2.0957190543413162e-02</internalNodes>
-          <leafValues>
-            -1.8374939262866974e-01 2.6384368538856506e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 445 4.1607948951423168e-03</internalNodes>
-          <leafValues>
-            4.9291279166936874e-02 -6.1921811103820801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 446 4.1489768773317337e-03</internalNodes>
-          <leafValues>
-            4.1641891002655029e-02 -7.3988562822341919e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 447 2.1313559263944626e-02</internalNodes>
-          <leafValues>
-            2.3694250732660294e-02 -5.6835669279098511e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 448 1.2101300060749054e-02</internalNodes>
-          <leafValues>
-            -9.5187656581401825e-02 4.6901950240135193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 449 1.8083410104736686e-03</internalNodes>
-          <leafValues>
-            4.7500770539045334e-02 -3.0990800261497498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 450 -1.0990530252456665e-02</internalNodes>
-          <leafValues>
-            6.7560458183288574e-01 -6.0268498957157135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 451 -8.9888361981138587e-04</internalNodes>
-          <leafValues>
-            1.6142509877681732e-01 -8.0034710466861725e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 452 8.5803032561670989e-05</internalNodes>
-          <leafValues>
-            -2.5957980751991272e-01 1.5043449401855469e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 453 -1.0529270395636559e-02</internalNodes>
-          <leafValues>
-            4.8798549175262451e-01 -1.0572060197591782e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 454 -2.5140570942312479e-03</internalNodes>
-          <leafValues>
-            -5.9965860843658447e-01 7.1445137262344360e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 455 -2.0928360521793365e-02</internalNodes>
-          <leafValues>
-            -6.3737767934799194e-01 1.1195439845323563e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 456 8.4567293524742126e-03</internalNodes>
-          <leafValues>
-            1.0487599670886993e-01 -3.3027571439743042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 457 1.1649870127439499e-01</internalNodes>
-          <leafValues>
-            4.9215629696846008e-02 -7.1875381469726562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 458 1.0911310091614723e-02</internalNodes>
-          <leafValues>
-            4.0617398917675018e-02 -7.1910649538040161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 459 -2.4141639471054077e-02</internalNodes>
-          <leafValues>
-            4.6759098768234253e-01 -3.2959330826997757e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 460 1.2029770296066999e-03</internalNodes>
-          <leafValues>
-            -3.1624960899353027e-01 1.1505530029535294e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 461 9.8068173974752426e-03</internalNodes>
-          <leafValues>
-            -3.6025181412696838e-02 1.7123579978942871e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 462 6.7418841645121574e-03</internalNodes>
-          <leafValues>
-            6.2854416668415070e-02 -5.5376541614532471e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 463 -1.3345720246434212e-02</internalNodes>
-          <leafValues>
-            -7.5741612911224365e-01 9.3524847179651260e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 464 8.8471651077270508e-02</internalNodes>
-          <leafValues>
-            5.5774558335542679e-02 -5.2644717693328857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 465 -1.4308050274848938e-02</internalNodes>
-          <leafValues>
-            -5.0163388252258301e-01 6.1552900820970535e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 466 2.3234330583363771e-03</internalNodes>
-          <leafValues>
-            -8.7273299694061279e-02 3.7597200274467468e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 467 -6.6605149768292904e-03</internalNodes>
-          <leafValues>
-            -5.6011527776718140e-01 4.5979429036378860e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 468 -2.3684150073677301e-04</internalNodes>
-          <leafValues>
-            9.2453077435493469e-02 -3.4188869595527649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 469 5.2499719895422459e-03</internalNodes>
-          <leafValues>
-            -1.0243079811334610e-01 3.8211381435394287e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 470 9.6710777143016458e-05</internalNodes>
-          <leafValues>
-            -1.4891329407691956e-01 2.4878869950771332e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 471 -3.1435599084943533e-03</internalNodes>
-          <leafValues>
-            2.0501570403575897e-01 -5.9435389935970306e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 472 -1.9189229351468384e-04</internalNodes>
-          <leafValues>
-            1.2612619996070862e-01 -3.2496848702430725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 473 -4.6893218532204628e-03</internalNodes>
-          <leafValues>
-            3.2404568791389465e-01 -3.2848190516233444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 474 3.0783370602875948e-03</internalNodes>
-          <leafValues>
-            5.5750191211700439e-02 -5.7443851232528687e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 475 1.3539710082113743e-02</internalNodes>
-          <leafValues>
-            -3.2638911157846451e-02 4.8875731229782104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 476 8.2393882621545345e-05</internalNodes>
-          <leafValues>
-            -2.2491760551929474e-01 1.5178939700126648e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 477 -9.3342671170830727e-03</internalNodes>
-          <leafValues>
-            -5.7278221845626831e-01 4.6149488538503647e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 478 4.5541571453213692e-03</internalNodes>
-          <leafValues>
-            -2.0548130571842194e-01 1.4704200625419617e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 479 2.4691719561815262e-02</internalNodes>
-          <leafValues>
-            2.0886249840259552e-02 -5.6028658151626587e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 480 9.7412186732981354e-05</internalNodes>
-          <leafValues>
-            -1.5648730099201202e-01 1.9009509682655334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 481 5.7823117822408676e-03</internalNodes>
-          <leafValues>
-            -1.2173660099506378e-01 2.1024130284786224e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 482 -6.4938321709632874e-02</internalNodes>
-          <leafValues>
-            5.5764448642730713e-01 -6.1514221131801605e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 483 -5.9424177743494511e-03</internalNodes>
-          <leafValues>
-            -4.4680491089820862e-01 5.5648550391197205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 484 -5.0992597825825214e-03</internalNodes>
-          <leafValues>
-            1.9794790446758270e-01 -1.8055149912834167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 485 -1.5280229970812798e-02</internalNodes>
-          <leafValues>
-            -8.6270570755004883e-02 3.5552538931369781e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 486 -7.4432790279388428e-03</internalNodes>
-          <leafValues>
-            1.7408570647239685e-01 -1.8400490283966064e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 487 5.1331128925085068e-03</internalNodes>
-          <leafValues>
-            -8.8491149246692657e-02 3.1532418727874756e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 488 2.4648790713399649e-03</internalNodes>
-          <leafValues>
-            -8.3607397973537445e-02 3.5939309000968933e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>57</maxWeakCount>
-      <stageThreshold>-1.2673230171203613e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 489 3.2584890723228455e-02</internalNodes>
-          <leafValues>
-            -2.9446709156036377e-01 3.8783320784568787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 490 -1.5954829752445221e-02</internalNodes>
-          <leafValues>
-            -8.7387222051620483e-01 1.3140209950506687e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 491 6.5294029191136360e-03</internalNodes>
-          <leafValues>
-            -1.8746000528335571e-01 3.4920379519462585e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 492 -6.9139063358306885e-02</internalNodes>
-          <leafValues>
-            -3.2066041231155396e-01 2.1070230752229691e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 493 -2.7401080355048180e-02</internalNodes>
-          <leafValues>
-            1.6137300431728363e-01 -3.3988159894943237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 494 5.4834091663360596e-01</internalNodes>
-          <leafValues>
-            -1.1290470138192177e-02 -1.0005040168762207e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 495 4.6463169157505035e-02</internalNodes>
-          <leafValues>
-            -7.0668822526931763e-01 5.8523610234260559e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 496 3.5692781209945679e-02</internalNodes>
-          <leafValues>
-            -1.2722860090434551e-02 5.1669907569885254e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 497 -8.8253971189260483e-03</internalNodes>
-          <leafValues>
-            3.5113370418548584e-01 -1.2264049798250198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 498 -2.4928439408540726e-02</internalNodes>
-          <leafValues>
-            -4.1226190328598022e-01 8.2819983363151550e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 499 8.3438487490639091e-04</internalNodes>
-          <leafValues>
-            -3.1004768610000610e-01 1.2824219465255737e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 500 4.3677380308508873e-03</internalNodes>
-          <leafValues>
-            8.7895832955837250e-02 -5.5109828710556030e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 501 -6.0594570823013783e-03</internalNodes>
-          <leafValues>
-            2.3694829642772675e-01 -1.6963149607181549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 502 -1.3386299833655357e-02</internalNodes>
-          <leafValues>
-            -2.9353159666061401e-01 3.3642090857028961e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 503 5.5047020316123962e-02</internalNodes>
-          <leafValues>
-            9.9271617829799652e-02 -4.0973669290542603e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 504 1.7345769330859184e-02</internalNodes>
-          <leafValues>
-            -1.0950370132923126e-01 4.2251870036125183e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 505 5.1694452762603760e-01</internalNodes>
-          <leafValues>
-            -5.7410959154367447e-02 6.4137631654739380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 506 6.5628431737422943e-02</internalNodes>
-          <leafValues>
-            3.3641148358583450e-02 -6.0003411769866943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 507 1.0161089897155762e-01</internalNodes>
-          <leafValues>
-            -2.5070580840110779e-01 1.8186099827289581e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 508 2.9830370098352432e-02</internalNodes>
-          <leafValues>
-            -1.1608160287141800e-01 3.5246831178665161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 509 -6.6538550890982151e-04</internalNodes>
-          <leafValues>
-            -5.6480127573013306e-01 6.4513862133026123e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 510 8.9011844247579575e-03</internalNodes>
-          <leafValues>
-            3.7113070487976074e-02 -6.2943869829177856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 511 -5.7988148182630539e-03</internalNodes>
-          <leafValues>
-            3.3002421259880066e-01 -1.1569269746541977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 512 1.8202450126409531e-02</internalNodes>
-          <leafValues>
-            2.2297389805316925e-02 -6.8679827451705933e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 513 -6.3430098816752434e-03</internalNodes>
-          <leafValues>
-            -5.9504687786102295e-01 5.3902018815279007e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 514 1.0256610065698624e-01</internalNodes>
-          <leafValues>
-            1.1425909586250782e-02 -3.4088680148124695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 515 -2.1729130297899246e-02</internalNodes>
-          <leafValues>
-            1.0024060308933258e-01 -3.6016431450843811e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 516 -4.0402188897132874e-02</internalNodes>
-          <leafValues>
-            -7.9971337318420410e-01 1.0374830104410648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 517 -1.1156830005347729e-02</internalNodes>
-          <leafValues>
-            4.1818261146545410e-01 -1.0622619837522507e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 518 1.0242810240015388e-03</internalNodes>
-          <leafValues>
-            -7.2071209549903870e-02 9.9886089563369751e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 519 9.5549278194084764e-04</internalNodes>
-          <leafValues>
-            -1.6656149923801422e-01 2.7860009670257568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 520 1.3702700380235910e-04</internalNodes>
-          <leafValues>
-            -3.1575959920883179e-01 1.1808790266513824e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 521 -1.9174149632453918e-01</internalNodes>
-          <leafValues>
-            5.2235382795333862e-01 -7.6672300696372986e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 522 2.5123620871454477e-03</internalNodes>
-          <leafValues>
-            -8.5517987608909607e-02 2.7882871031761169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 523 3.6384440027177334e-03</internalNodes>
-          <leafValues>
-            -1.0173840075731277e-01 3.6575859785079956e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 524 -9.1068800538778305e-03</internalNodes>
-          <leafValues>
-            -1.9999110698699951e-01 3.5431660711765289e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 525 -2.5456059724092484e-02</internalNodes>
-          <leafValues>
-            -6.6976618766784668e-01 5.1672291010618210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 526 -2.5856729596853256e-02</internalNodes>
-          <leafValues>
-            -7.3498648405075073e-01 2.7689380571246147e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 527 8.5871294140815735e-03</internalNodes>
-          <leafValues>
-            -1.1443380266427994e-01 2.7319890260696411e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 528 3.5716209094971418e-03</internalNodes>
-          <leafValues>
-            6.0280900448560715e-02 -2.6631888747215271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 529 1.0332760401070118e-02</internalNodes>
-          <leafValues>
-            3.8581959903240204e-02 -6.7532962560653687e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 530 -8.3224009722471237e-03</internalNodes>
-          <leafValues>
-            2.5268268585205078e-01 -6.8770729005336761e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 531 -1.8182119820266962e-03</internalNodes>
-          <leafValues>
-            -3.1761169433593750e-01 9.2666782438755035e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 532 -1.3169780373573303e-02</internalNodes>
-          <leafValues>
-            -5.3651332855224609e-01 2.8106879442930222e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 533 2.0408600568771362e-02</internalNodes>
-          <leafValues>
-            -6.0603220015764236e-02 5.0572431087493896e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 534 1.7321230471134186e-01</internalNodes>
-          <leafValues>
-            2.1015009842813015e-03 3.2260191440582275e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 535 -5.8910921216011047e-02</internalNodes>
-          <leafValues>
-            1.4044930040836334e-01 -2.0362600684165955e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 536 4.9123559147119522e-03</internalNodes>
-          <leafValues>
-            7.1367353200912476e-02 -5.0733560323715210e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 537 -1.3819620653521270e-04</internalNodes>
-          <leafValues>
-            7.6624020934104919e-02 -3.4903231263160706e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 538 1.2017219560220838e-03</internalNodes>
-          <leafValues>
-            -5.1169282197952271e-01 5.4793931543827057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 539 -5.4135429672896862e-03</internalNodes>
-          <leafValues>
-            -5.0181478261947632e-01 5.0226181745529175e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 540 -3.3707648515701294e-02</internalNodes>
-          <leafValues>
-            -8.5764700174331665e-01 4.7642397694289684e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 541 1.2718940153717995e-02</internalNodes>
-          <leafValues>
-            -1.0830610245466232e-01 2.8867751359939575e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 542 -2.0672269165515900e-02</internalNodes>
-          <leafValues>
-            -3.0906811356544495e-01 2.1581029519438744e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 543 1.5933969989418983e-02</internalNodes>
-          <leafValues>
-            -8.3755359053611755e-02 4.1743949055671692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 544 9.3405526131391525e-03</internalNodes>
-          <leafValues>
-            4.7591928392648697e-02 -6.5143817663192749e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 545 1.3016579672694206e-02</internalNodes>
-          <leafValues>
-            5.3528260439634323e-02 -4.8644289374351501e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>61</maxWeakCount>
-      <stageThreshold>-1.3531359434127808e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 546 5.0423052161931992e-03</internalNodes>
-          <leafValues>
-            -2.2111539542675018e-01 4.3673288822174072e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 547 3.3594230189919472e-03</internalNodes>
-          <leafValues>
-            -1.7003799974918365e-01 1.2387859821319580e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 548 -2.2854709997773170e-02</internalNodes>
-          <leafValues>
-            3.0707350373268127e-01 -1.9186529517173767e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 549 4.3850108049809933e-03</internalNodes>
-          <leafValues>
-            3.2038759440183640e-02 -1.4620819687843323e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 550 -5.3011639975011349e-03</internalNodes>
-          <leafValues>
-            1.6375949978828430e-01 -2.8174880146980286e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 551 4.9680870026350021e-02</internalNodes>
-          <leafValues>
-            4.2250480502843857e-02 -6.0391640663146973e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 552 -5.1453109830617905e-02</internalNodes>
-          <leafValues>
-            6.5720152854919434e-01 -7.0812806487083435e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 553 2.7113489806652069e-02</internalNodes>
-          <leafValues>
-            2.9805190861225128e-02 -4.0825900435447693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 554 2.3578230291604996e-02</internalNodes>
-          <leafValues>
-            -3.0918011069297791e-01 2.1382910013198853e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 555 2.9583559371531010e-03</internalNodes>
-          <leafValues>
-            2.3970389738678932e-02 -1.6768220067024231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 556 -2.8374159592203796e-04</internalNodes>
-          <leafValues>
-            1.9550369679927826e-01 -2.6317828893661499e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 557 3.8295589387416840e-02</internalNodes>
-          <leafValues>
-            -8.1490896642208099e-02 4.1922101378440857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 558 -1.0575760155916214e-02</internalNodes>
-          <leafValues>
-            -5.5699461698532104e-01 6.0772120952606201e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 559 -1.3283690204843879e-03</internalNodes>
-          <leafValues>
-            9.2958763241767883e-02 -3.3554950356483459e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 560 1.8217159667983651e-03</internalNodes>
-          <leafValues>
-            -9.9800482392311096e-02 3.8015770912170410e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 561 -1.8067359924316406e-03</internalNodes>
-          <leafValues>
-            -5.1108711957931519e-01 6.8366326391696930e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 562 6.6835001111030579e-02</internalNodes>
-          <leafValues>
-            3.1457249075174332e-02 -6.9415211677551270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 563 -1.3109239749610424e-02</internalNodes>
-          <leafValues>
-            6.0284411907196045e-01 -8.0423787236213684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 564 -1.9930349662899971e-03</internalNodes>
-          <leafValues>
-            -4.1979709267616272e-01 8.9367941021919250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 565 -1.0855719447135925e-03</internalNodes>
-          <leafValues>
-            -2.4703420698642731e-01 5.2764680236577988e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 566 -2.0320110488682985e-03</internalNodes>
-          <leafValues>
-            -6.1820042133331299e-01 5.1938790827989578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 567 1.6026819124817848e-02</internalNodes>
-          <leafValues>
-            -8.5486106574535370e-02 5.8234047889709473e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 568 1.7896020784974098e-02</internalNodes>
-          <leafValues>
-            6.8894177675247192e-02 -5.8082962036132812e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 569 -2.4853560607880354e-03</internalNodes>
-          <leafValues>
-            2.0646420121192932e-01 -6.0466051101684570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 570 -1.8073250539600849e-03</internalNodes>
-          <leafValues>
-            2.5038561224937439e-01 -1.3862800598144531e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 571 -1.1800680309534073e-02</internalNodes>
-          <leafValues>
-            -5.5517327785491943e-01 2.3907609283924103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 572 5.3180782124400139e-03</internalNodes>
-          <leafValues>
-            -1.0365380346775055e-01 3.5622540116310120e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 573 -1.9885929941665381e-04</internalNodes>
-          <leafValues>
-            7.9137459397315979e-02 -7.1248553693294525e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 574 1.2722889892756939e-02</internalNodes>
-          <leafValues>
-            3.6043450236320496e-02 -7.7585661411285400e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 575 5.4894611239433289e-03</internalNodes>
-          <leafValues>
-            -1.1198099702596664e-01 2.9539060592651367e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 576 3.1117599457502365e-02</internalNodes>
-          <leafValues>
-            6.8027697503566742e-02 -4.7621628642082214e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 577 -1.0922919958829880e-02</internalNodes>
-          <leafValues>
-            3.7011030316352844e-01 -1.5059700608253479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 578 -1.7167469486594200e-03</internalNodes>
-          <leafValues>
-            2.7644971013069153e-01 -1.1304590106010437e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 579 -1.3501050416380167e-03</internalNodes>
-          <leafValues>
-            -3.5303080081939697e-01 9.9187247455120087e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 580 1.9909780472517014e-02</internalNodes>
-          <leafValues>
-            6.5169408917427063e-02 -4.9353629350662231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 581 2.3044180124998093e-02</internalNodes>
-          <leafValues>
-            1.7247360199689865e-02 -3.9788180589675903e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 582 9.6177039667963982e-03</internalNodes>
-          <leafValues>
-            -1.1394459754228592e-01 3.1357648968696594e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 583 -7.6275239698588848e-03</internalNodes>
-          <leafValues>
-            -9.2318731546401978e-01 7.8877164050936699e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 584 8.7190303020179272e-05</internalNodes>
-          <leafValues>
-            -3.0970078706741333e-01 9.5611982047557831e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 585 -1.1889990419149399e-02</internalNodes>
-          <leafValues>
-            4.7901371121406555e-01 -3.5577189177274704e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 586 8.4557365626096725e-03</internalNodes>
-          <leafValues>
-            5.2709650248289108e-02 -5.7321697473526001e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 587 1.1996040120720863e-02</internalNodes>
-          <leafValues>
-            1.9709009677171707e-02 -6.9532912969589233e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 588 -2.7005810290575027e-02</internalNodes>
-          <leafValues>
-            5.9652292728424072e-01 -5.1673818379640579e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 589 1.8543410114943981e-03</internalNodes>
-          <leafValues>
-            7.2791919112205505e-02 -5.0846791267395020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 590 7.5675587868317962e-04</internalNodes>
-          <leafValues>
-            -3.8867241144180298e-01 6.5925061702728271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 591 -3.8905180990695953e-02</internalNodes>
-          <leafValues>
-            -6.0740387439727783e-01 3.5101689863950014e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 592 -5.7714940048754215e-03</internalNodes>
-          <leafValues>
-            1.7274090647697449e-01 -1.7644210159778595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 593 -9.1350553557276726e-03</internalNodes>
-          <leafValues>
-            -2.8621628880500793e-01 3.0258299782872200e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 594 4.5439298264682293e-03</internalNodes>
-          <leafValues>
-            -8.5076972842216492e-02 4.1360539197921753e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 595 1.5785360708832741e-02</internalNodes>
-          <leafValues>
-            -9.6528999507427216e-02 2.8125289082527161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 596 1.7944289371371269e-02</internalNodes>
-          <leafValues>
-            5.0230890512466431e-02 -6.4134520292282104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 597 -3.8975570350885391e-02</internalNodes>
-          <leafValues>
-            -2.5966680049896240e-01 3.0592629685997963e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 598 5.2373361540958285e-04</internalNodes>
-          <leafValues>
-            1.0446350276470184e-01 -3.1365889310836792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 599 -2.5457229465246201e-02</internalNodes>
-          <leafValues>
-            -1.6731269657611847e-01 3.7427790462970734e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 600 -4.2908679693937302e-02</internalNodes>
-          <leafValues>
-            -4.0295800566673279e-01 6.5455727279186249e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 601 -5.1728109829127789e-03</internalNodes>
-          <leafValues>
-            3.1299790740013123e-01 -7.0367880165576935e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 602 -1.8753990298137069e-04</internalNodes>
-          <leafValues>
-            1.5299630165100098e-01 -2.0695990324020386e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 603 -1.9984589889645576e-03</internalNodes>
-          <leafValues>
-            2.6436290144920349e-01 -1.0118020325899124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 604 -3.7929560057818890e-03</internalNodes>
-          <leafValues>
-            2.8518161177635193e-01 -1.0743419826030731e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 605 4.5540980994701385e-02</internalNodes>
-          <leafValues>
-            4.5009840279817581e-02 -2.0425949990749359e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 606 2.4831600487232208e-02</internalNodes>
-          <leafValues>
-            4.9255561083555222e-02 -6.0236537456512451e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>59</maxWeakCount>
-      <stageThreshold>-1.1971529722213745e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 607 3.9991321973502636e-03</internalNodes>
-          <leafValues>
-            -2.6711270213127136e-01 3.5392650961875916e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 608 1.1023290455341339e-02</internalNodes>
-          <leafValues>
-            -1.0786689817905426e-01 1.0729049891233444e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 609 -3.7521351128816605e-02</internalNodes>
-          <leafValues>
-            3.0647391080856323e-01 -2.1749919652938843e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 610 -2.7670729905366898e-03</internalNodes>
-          <leafValues>
-            -3.9869681000709534e-01 8.7402120232582092e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 611 1.9890109542757273e-03</internalNodes>
-          <leafValues>
-            -3.2719919085502625e-01 2.0264029502868652e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 612 1.9364669919013977e-02</internalNodes>
-          <leafValues>
-            -5.1705140620470047e-02 1.2021850049495697e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 613 -1.1918369680643082e-02</internalNodes>
-          <leafValues>
-            1.2546530365943909e-01 -3.7106749415397644e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 614 9.5910847187042236e-02</internalNodes>
-          <leafValues>
-            -1.7389330267906189e-01 2.2600440680980682e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 615 1.0751710087060928e-01</internalNodes>
-          <leafValues>
-            -7.8588336706161499e-02 5.7250618934631348e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 616 -3.1022340059280396e-02</internalNodes>
-          <leafValues>
-            1.4575169980525970e-01 -3.2396531105041504e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 617 1.6883790493011475e-02</internalNodes>
-          <leafValues>
-            -1.6565980017185211e-01 2.9082998633384705e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 618 5.0262849981663749e-05</internalNodes>
-          <leafValues>
-            -5.7035660743713379e-01 6.2110569328069687e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 619 9.1006923466920853e-03</internalNodes>
-          <leafValues>
-            5.5405318737030029e-02 -4.9272969365119934e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 620 -1.6937600076198578e-01</internalNodes>
-          <leafValues>
-            5.4915368556976318e-01 -3.9581310003995895e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 621 1.9913749769330025e-02</internalNodes>
-          <leafValues>
-            9.4958506524562836e-02 -5.1041561365127563e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 622 3.0223759822547436e-03</internalNodes>
-          <leafValues>
-            -6.3331179320812225e-02 2.0407359302043915e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 623 -4.5423391275107861e-03</internalNodes>
-          <leafValues>
-            4.2783120274543762e-01 -7.8888073563575745e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 624 -3.5147000104188919e-02</internalNodes>
-          <leafValues>
-            -6.1061471700668335e-01 2.5506079196929932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 625 2.0077088847756386e-03</internalNodes>
-          <leafValues>
-            6.3804052770137787e-02 -4.4934588670730591e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 626 -1.5540630556643009e-03</internalNodes>
-          <leafValues>
-            -4.0192028880119324e-01 3.1636688858270645e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 627 1.4254899695515633e-02</internalNodes>
-          <leafValues>
-            -7.9566307365894318e-02 3.8706529140472412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 628 1.1024920269846916e-02</internalNodes>
-          <leafValues>
-            6.7027233541011810e-02 -2.8063619136810303e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 629 -5.1981899887323380e-03</internalNodes>
-          <leafValues>
-            3.6570119857788086e-01 -1.1679860204458237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 630 4.9434448592364788e-03</internalNodes>
-          <leafValues>
-            4.9997199326753616e-02 -1.4642210304737091e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 631 -1.6670800745487213e-02</internalNodes>
-          <leafValues>
-            -4.9238750338554382e-01 6.1317440122365952e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 632 7.7939140610396862e-03</internalNodes>
-          <leafValues>
-            -2.9953140765428543e-02 2.3316749930381775e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 633 -1.4590610517188907e-03</internalNodes>
-          <leafValues>
-            -5.7006311416625977e-01 5.3406499326229095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 634 -2.2517830133438110e-02</internalNodes>
-          <leafValues>
-            1.1464659869670868e-01 -1.2585699558258057e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 635 1.4919370412826538e-02</internalNodes>
-          <leafValues>
-            5.2204128354787827e-02 -5.6187790632247925e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 636 -1.8656760454177856e-01</internalNodes>
-          <leafValues>
-            6.0989791154861450e-01 -5.0142709165811539e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 637 1.2466400221455842e-04</internalNodes>
-          <leafValues>
-            -3.2725819945335388e-01 8.6407169699668884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 638 -8.5008898749947548e-03</internalNodes>
-          <leafValues>
-            4.0898931026458740e-01 -8.6464531719684601e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 639 1.4465590007603168e-02</internalNodes>
-          <leafValues>
-            5.5936750024557114e-02 -5.2939140796661377e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 640 1.1536439880728722e-02</internalNodes>
-          <leafValues>
-            -9.3967936933040619e-02 4.0461421012878418e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 641 1.6789000481367111e-02</internalNodes>
-          <leafValues>
-            4.9098148941993713e-02 -6.1509531736373901e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 642 -2.9727790970355272e-03</internalNodes>
-          <leafValues>
-            1.5688349306583405e-01 -7.9878687858581543e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 643 2.7876989915966988e-03</internalNodes>
-          <leafValues>
-            -1.1298049986362457e-01 2.3814339935779572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 644 2.6815771125257015e-03</internalNodes>
-          <leafValues>
-            -6.3131898641586304e-02 1.7341490089893341e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 645 -1.6932430444285274e-03</internalNodes>
-          <leafValues>
-            2.9134979844093323e-01 -9.7688913345336914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 646 -2.1838879212737083e-02</internalNodes>
-          <leafValues>
-            2.2410179674625397e-01 -6.3271783292293549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 647 -4.6455059200525284e-02</internalNodes>
-          <leafValues>
-            -6.6729080677032471e-01 4.1569691151380539e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 648 3.4257268905639648e-01</internalNodes>
-          <leafValues>
-            -4.3775469064712524e-02 4.2250889539718628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 649 -9.7134057432413101e-03</internalNodes>
-          <leafValues>
-            2.8876009583473206e-01 -1.0904739797115326e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 650 -1.9520539790391922e-03</internalNodes>
-          <leafValues>
-            1.1463859677314758e-01 -1.0175020247697830e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 651 -1.8771419301629066e-02</internalNodes>
-          <leafValues>
-            6.2400698661804199e-01 -5.0913780927658081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 652 2.5264939665794373e-01</internalNodes>
-          <leafValues>
-            -2.2805340588092804e-01 1.4274069666862488e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 653 -7.8301310539245605e-02</internalNodes>
-          <leafValues>
-            -4.9581411480903625e-01 5.4817609488964081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 654 -1.6115349531173706e-01</internalNodes>
-          <leafValues>
-            -5.7617807388305664e-01 4.2033191770315170e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 655 1.3769039884209633e-02</internalNodes>
-          <leafValues>
-            4.6666219830513000e-02 -5.0551378726959229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 656 -1.8329080194234848e-02</internalNodes>
-          <leafValues>
-            -7.9812979698181152e-01 -6.3357828184962273e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 657 -3.9759539067745209e-03</internalNodes>
-          <leafValues>
-            2.6330900192260742e-01 -1.0175059735774994e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 658 1.9660349935293198e-02</internalNodes>
-          <leafValues>
-            3.9909198880195618e-02 -6.7467451095581055e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 659 -8.9697521179914474e-03</internalNodes>
-          <leafValues>
-            5.5054008960723877e-02 -4.3380209803581238e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 660 1.7052260041236877e-01</internalNodes>
-          <leafValues>
-            -8.9983023703098297e-02 1.5587039291858673e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 661 -6.7584879696369171e-02</internalNodes>
-          <leafValues>
-            1.8699319660663605e-01 -1.3449880480766296e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 662 -4.9654832109808922e-03</internalNodes>
-          <leafValues>
-            2.1740439534187317e-01 -6.8494133651256561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 663 -3.6419339012354612e-03</internalNodes>
-          <leafValues>
-            2.2659860551357269e-01 -1.1511819809675217e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 664 3.0941639095544815e-02</internalNodes>
-          <leafValues>
-            9.5881456509232521e-03 -4.3764260411262512e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 665 2.0714900456368923e-03</internalNodes>
-          <leafValues>
-            -6.9400407373905182e-02 3.5815268754959106e-01</leafValues></_></weakClassifiers></_></stages>
-  <features>
-    <_>
-      <rects>
-        <_>
-          2 7 8 12 -1.</_>
-        <_>
-          2 7 4 6 2.</_>
-        <_>
-          6 13 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 8 2 -1.</_>
-        <_>
-          5 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 4 -1.</_>
-        <_>
-          5 5 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 18 -1.</_>
-        <_>
-          4 9 8 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 3 2 -1.</_>
-        <_>
-          0 19 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 10 -1.</_>
-        <_>
-          11 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 10 1 -1.</_>
-        <_>
-          5 0 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 8 14 -1.</_>
-        <_>
-          2 5 4 7 2.</_>
-        <_>
-          6 12 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 8 -1.</_>
-        <_>
-          0 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 6 10 -1.</_>
-        <_>
-          2 12 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 4 8 -1.</_>
-        <_>
-          10 2 2 4 2.</_>
-        <_>
-          8 6 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 4 8 -1.</_>
-        <_>
-          0 2 2 4 2.</_>
-        <_>
-          2 6 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          6 18 6 1 2.</_>
-        <_>
-          0 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 12 6 -1.</_>
-        <_>
-          6 14 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 2 6 -1.</_>
-        <_>
-          6 12 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 12 6 2 -1.</_>
-        <_>
-          6 12 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 6 -1.</_>
-        <_>
-          8 10 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 9 3 -1.</_>
-        <_>
-          6 7 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 4 5 -1.</_>
-        <_>
-          6 2 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 4 -1.</_>
-        <_>
-          4 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          8 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 20 -1.</_>
-        <_>
-          3 10 3 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 16 3 4 -1.</_>
-        <_>
-          9 17 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 4 -1.</_>
-        <_>
-          0 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 16 3 4 -1.</_>
-        <_>
-          9 17 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 3 4 -1.</_>
-        <_>
-          0 17 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 8 1 -1.</_>
-        <_>
-          5 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 9 6 -1.</_>
-        <_>
-          3 6 3 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 6 1 -1.</_>
-        <_>
-          8 15 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 6 -1.</_>
-        <_>
-          4 15 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 9 2 -1.</_>
-        <_>
-          2 4 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 4 -1.</_>
-        <_>
-          0 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 7 10 -1.</_>
-        <_>
-          4 13 7 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 8 12 -1.</_>
-        <_>
-          2 7 4 6 2.</_>
-        <_>
-          6 13 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          7 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          5 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 16 4 4 -1.</_>
-        <_>
-          5 18 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 12 3 -1.</_>
-        <_>
-          6 17 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 12 3 -1.</_>
-        <_>
-          0 15 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 16 -1.</_>
-        <_>
-          0 4 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 8 13 -1.</_>
-        <_>
-          2 0 4 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 2 -1.</_>
-        <_>
-          0 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 18 5 2 -1.</_>
-        <_>
-          7 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 5 2 -1.</_>
-        <_>
-          0 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 15 2 3 -1.</_>
-        <_>
-          6 15 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 15 3 2 -1.</_>
-        <_>
-          6 15 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 7 8 12 -1.</_>
-        <_>
-          2 7 4 6 2.</_>
-        <_>
-          6 13 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 16 4 4 -1.</_>
-        <_>
-          5 18 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          4 5 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 16 12 4 -1.</_>
-        <_>
-          6 16 6 2 2.</_>
-        <_>
-          0 18 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 10 4 -1.</_>
-        <_>
-          0 4 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 8 -1.</_>
-        <_>
-          6 11 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 8 3 -1.</_>
-        <_>
-          6 11 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 12 1 6 -1.</_>
-        <_>
-          6 12 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 12 6 1 -1.</_>
-        <_>
-          6 12 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 4 10 -1.</_>
-        <_>
-          10 1 2 5 2.</_>
-        <_>
-          8 6 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          5 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 3 -1.</_>
-        <_>
-          10 3 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 3 -1.</_>
-        <_>
-          0 3 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 8 4 -1.</_>
-        <_>
-          6 10 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 9 3 -1.</_>
-        <_>
-          6 7 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 10 -1.</_>
-        <_>
-          0 1 2 5 2.</_>
-        <_>
-          2 6 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 8 17 -1.</_>
-        <_>
-          5 3 4 17 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 8 -1.</_>
-        <_>
-          6 0 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 3 -1.</_>
-        <_>
-          6 10 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 18 4 2 -1.</_>
-        <_>
-          0 19 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 3 -1.</_>
-        <_>
-          6 10 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 6 9 3 -1.</_>
-        <_>
-          4 7 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 3 -1.</_>
-        <_>
-          6 10 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 10 3 6 -1.</_>
-        <_>
-          6 10 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 10 -1.</_>
-        <_>
-          0 5 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 8 -1.</_>
-        <_>
-          4 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 3 -1.</_>
-        <_>
-          1 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 12 4 -1.</_>
-        <_>
-          0 9 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 1 3 -1.</_>
-        <_>
-          1 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 8 2 -1.</_>
-        <_>
-          6 11 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 6 -1.</_>
-        <_>
-          5 5 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 8 -1.</_>
-        <_>
-          0 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 8 14 -1.</_>
-        <_>
-          6 5 4 7 2.</_>
-        <_>
-          2 12 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 8 -1.</_>
-        <_>
-          0 8 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 12 3 -1.</_>
-        <_>
-          0 17 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 3 -1.</_>
-        <_>
-          4 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 12 6 8 -1.</_>
-        <_>
-          5 14 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 4 9 -1.</_>
-        <_>
-          3 14 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 10 16 -1.</_>
-        <_>
-          2 8 10 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 15 3 2 -1.</_>
-        <_>
-          5 15 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 15 4 1 -1.</_>
-        <_>
-          9 16 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 15 1 4 -1.</_>
-        <_>
-          3 16 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 14 3 3 -1.</_>
-        <_>
-          7 15 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 14 3 3 -1.</_>
-        <_>
-          5 15 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 8 2 -1.</_>
-        <_>
-          5 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 6 17 -1.</_>
-        <_>
-          5 2 2 17 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 2 -1.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 4 2 -1.</_>
-        <_>
-          6 14 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 8 1 -1.</_>
-        <_>
-          3 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          5 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 2 -1.</_>
-        <_>
-          10 0 2 1 2.</_>
-        <_>
-          8 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          0 0 2 1 2.</_>
-        <_>
-          2 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 3 -1.</_>
-        <_>
-          8 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 5 8 14 -1.</_>
-        <_>
-          2 5 4 7 2.</_>
-        <_>
-          6 12 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 1 -1.</_>
-        <_>
-          7 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 3 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 4 1 -1.</_>
-        <_>
-          8 6 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 1 4 -1.</_>
-        <_>
-          4 6 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 7 9 -1.</_>
-        <_>
-          3 4 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 6 3 -1.</_>
-        <_>
-          3 9 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 18 10 2 -1.</_>
-        <_>
-          7 18 5 1 2.</_>
-        <_>
-          2 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 6 1 -1.</_>
-        <_>
-          6 13 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 3 -1.</_>
-        <_>
-          8 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 2 -1.</_>
-        <_>
-          4 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 14 12 5 -1.</_>
-        <_>
-          0 14 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 8 2 -1.</_>
-        <_>
-          5 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 16 2 2 -1.</_>
-        <_>
-          6 16 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 16 2 2 -1.</_>
-        <_>
-          6 16 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 1 6 -1.</_>
-        <_>
-          4 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 1 -1.</_>
-        <_>
-          8 11 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 17 1 3 -1.</_>
-        <_>
-          10 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 1 3 -1.</_>
-        <_>
-          1 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 1 18 -1.</_>
-        <_>
-          11 8 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 20 -1.</_>
-        <_>
-          0 5 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 2 -1.</_>
-        <_>
-          7 0 3 1 2.</_>
-        <_>
-          4 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 3 -1.</_>
-        <_>
-          0 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 4 2 -1.</_>
-        <_>
-          3 4 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 2 2 -1.</_>
-        <_>
-          6 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 12 12 5 -1.</_>
-        <_>
-          3 12 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 10 2 -1.</_>
-        <_>
-          0 18 5 1 2.</_>
-        <_>
-          5 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 8 13 -1.</_>
-        <_>
-          5 3 4 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 8 13 -1.</_>
-        <_>
-          3 3 4 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 4 -1.</_>
-        <_>
-          11 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 10 2 -1.</_>
-        <_>
-          0 1 5 1 2.</_>
-        <_>
-          5 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 8 5 -1.</_>
-        <_>
-          4 11 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 14 -1.</_>
-        <_>
-          0 7 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 6 -1.</_>
-        <_>
-          6 12 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 10 6 4 -1.</_>
-        <_>
-          6 12 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 17 12 2 -1.</_>
-        <_>
-          0 17 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 3 -1.</_>
-        <_>
-          4 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 4 -1.</_>
-        <_>
-          6 9 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 6 -1.</_>
-        <_>
-          6 9 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 2 -1.</_>
-        <_>
-          9 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 4 -1.</_>
-        <_>
-          1 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 2 -1.</_>
-        <_>
-          9 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 3 2 -1.</_>
-        <_>
-          2 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 4 1 -1.</_>
-        <_>
-          9 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 1 4 -1.</_>
-        <_>
-          3 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 12 4 -1.</_>
-        <_>
-          0 4 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 8 -1.</_>
-        <_>
-          6 11 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 8 14 -1.</_>
-        <_>
-          2 6 4 7 2.</_>
-        <_>
-          6 13 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 18 1 2 -1.</_>
-        <_>
-          11 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 2 2 -1.</_>
-        <_>
-          0 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 4 4 -1.</_>
-        <_>
-          4 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          7 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 2 -1.</_>
-        <_>
-          5 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 2 -1.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 2 -1.</_>
-        <_>
-          0 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 8 -1.</_>
-        <_>
-          6 0 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 12 7 -1.</_>
-        <_>
-          6 12 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 10 2 6 -1.</_>
-        <_>
-          4 12 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 1 3 -1.</_>
-        <_>
-          0 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 3 4 -1.</_>
-        <_>
-          10 8 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 2 -1.</_>
-        <_>
-          0 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 6 12 -1.</_>
-        <_>
-          4 7 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 16 4 4 -1.</_>
-        <_>
-          3 18 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 6 -1.</_>
-        <_>
-          7 4 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          5 4 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 3 -1.</_>
-        <_>
-          8 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          4 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 6 -1.</_>
-        <_>
-          11 3 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 16 -1.</_>
-        <_>
-          0 12 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 6 -1.</_>
-        <_>
-          11 3 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 6 1 -1.</_>
-        <_>
-          6 12 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 3 -1.</_>
-        <_>
-          3 13 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 8 2 -1.</_>
-        <_>
-          6 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 2 -1.</_>
-        <_>
-          4 2 2 1 2.</_>
-        <_>
-          6 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 6 -1.</_>
-        <_>
-          10 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 4 4 -1.</_>
-        <_>
-          0 4 2 2 2.</_>
-        <_>
-          2 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 6 -1.</_>
-        <_>
-          10 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 6 -1.</_>
-        <_>
-          0 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 18 1 2 -1.</_>
-        <_>
-          11 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 1 2 -1.</_>
-        <_>
-          0 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 6 -1.</_>
-        <_>
-          6 13 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 17 12 3 -1.</_>
-        <_>
-          6 17 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 6 -1.</_>
-        <_>
-          0 13 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 8 4 -1.</_>
-        <_>
-          0 5 4 2 2.</_>
-        <_>
-          4 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 3 -1.</_>
-        <_>
-          1 1 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 12 6 -1.</_>
-        <_>
-          0 5 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 5 18 -1.</_>
-        <_>
-          5 6 5 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 9 9 -1.</_>
-        <_>
-          3 0 3 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 3 -1.</_>
-        <_>
-          11 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 4 2 -1.</_>
-        <_>
-          2 12 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 3 -1.</_>
-        <_>
-          11 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 3 1 -1.</_>
-        <_>
-          2 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 14 3 4 -1.</_>
-        <_>
-          9 16 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 3 4 -1.</_>
-        <_>
-          0 16 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 3 -1.</_>
-        <_>
-          8 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          4 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 3 -1.</_>
-        <_>
-          11 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 3 -1.</_>
-        <_>
-          0 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 6 8 -1.</_>
-        <_>
-          3 10 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 4 3 -1.</_>
-        <_>
-          5 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 4 -1.</_>
-        <_>
-          9 6 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 3 -1.</_>
-        <_>
-          3 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 1 -1.</_>
-        <_>
-          8 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 4 -1.</_>
-        <_>
-          5 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 14 6 6 -1.</_>
-        <_>
-          3 17 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 8 12 -1.</_>
-        <_>
-          2 5 4 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 4 -1.</_>
-        <_>
-          11 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 1 -1.</_>
-        <_>
-          1 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 18 6 2 -1.</_>
-        <_>
-          7 18 3 1 2.</_>
-        <_>
-          4 19 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 8 2 -1.</_>
-        <_>
-          0 18 4 1 2.</_>
-        <_>
-          4 19 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 8 -1.</_>
-        <_>
-          6 0 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 6 1 -1.</_>
-        <_>
-          6 13 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 1 -1.</_>
-        <_>
-          3 13 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 8 5 -1.</_>
-        <_>
-          4 11 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 4 14 -1.</_>
-        <_>
-          10 6 2 7 2.</_>
-        <_>
-          8 13 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 4 14 -1.</_>
-        <_>
-          0 6 2 7 2.</_>
-        <_>
-          2 13 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 8 2 -1.</_>
-        <_>
-          4 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 3 -1.</_>
-        <_>
-          1 1 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 3 2 -1.</_>
-        <_>
-          1 18 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 12 12 -1.</_>
-        <_>
-          0 8 12 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 14 -1.</_>
-        <_>
-          0 13 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 1 -1.</_>
-        <_>
-          9 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 3 -1.</_>
-        <_>
-          4 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 1 3 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 3 2 -1.</_>
-        <_>
-          2 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 1 3 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 17 1 2 -1.</_>
-        <_>
-          3 17 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 1 3 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 2 3 -1.</_>
-        <_>
-          5 7 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 1 3 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 3 -1.</_>
-        <_>
-          0 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 2 -1.</_>
-        <_>
-          7 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 2 3 -1.</_>
-        <_>
-          5 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 8 1 4 -1.</_>
-        <_>
-          11 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 4 6 -1.</_>
-        <_>
-          4 4 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 17 6 2 -1.</_>
-        <_>
-          8 17 3 1 2.</_>
-        <_>
-          5 18 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 2 -1.</_>
-        <_>
-          3 0 3 1 2.</_>
-        <_>
-          6 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 1 2 -1.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 2 -1.</_>
-        <_>
-          0 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 4 -1.</_>
-        <_>
-          10 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 4 -1.</_>
-        <_>
-          0 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 5 -1.</_>
-        <_>
-          0 13 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 10 10 -1.</_>
-        <_>
-          1 9 5 5 2.</_>
-        <_>
-          6 14 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 6 2 -1.</_>
-        <_>
-          1 1 3 1 2.</_>
-        <_>
-          4 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 5 -1.</_>
-        <_>
-          8 5 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 1 -1.</_>
-        <_>
-          8 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 12 -1.</_>
-        <_>
-          11 8 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 1 12 -1.</_>
-        <_>
-          0 8 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 4 8 -1.</_>
-        <_>
-          6 10 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 10 12 -1.</_>
-        <_>
-          1 7 5 6 2.</_>
-        <_>
-          6 13 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          8 5 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 4 4 -1.</_>
-        <_>
-          3 6 2 2 2.</_>
-        <_>
-          5 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 2 -1.</_>
-        <_>
-          10 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 2 -1.</_>
-        <_>
-          0 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 17 2 1 -1.</_>
-        <_>
-          8 17 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 3 -1.</_>
-        <_>
-          1 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 3 6 -1.</_>
-        <_>
-          6 14 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 14 3 5 -1.</_>
-        <_>
-          5 14 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          10 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 12 7 -1.</_>
-        <_>
-          0 12 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 3 2 -1.</_>
-        <_>
-          7 15 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 16 1 4 -1.</_>
-        <_>
-          11 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 1 4 -1.</_>
-        <_>
-          0 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 6 4 -1.</_>
-        <_>
-          4 4 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 3 -1.</_>
-        <_>
-          4 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 20 -1.</_>
-        <_>
-          8 10 4 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 2 3 -1.</_>
-        <_>
-          3 12 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 20 -1.</_>
-        <_>
-          8 10 4 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 20 -1.</_>
-        <_>
-          0 10 4 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 3 -1.</_>
-        <_>
-          6 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          6 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 1 -1.</_>
-        <_>
-          8 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 3 -1.</_>
-        <_>
-          4 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 12 3 -1.</_>
-        <_>
-          0 10 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 1 -1.</_>
-        <_>
-          2 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 4 2 -1.</_>
-        <_>
-          9 13 2 1 2.</_>
-        <_>
-          7 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 4 2 -1.</_>
-        <_>
-          1 13 2 1 2.</_>
-        <_>
-          3 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          8 5 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 2 1 -1.</_>
-        <_>
-          3 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          8 5 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 6 -1.</_>
-        <_>
-          4 5 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 3 -1.</_>
-        <_>
-          10 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 4 3 -1.</_>
-        <_>
-          5 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 1 -1.</_>
-        <_>
-          8 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 1 3 -1.</_>
-        <_>
-          5 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 8 -1.</_>
-        <_>
-          6 11 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 8 3 -1.</_>
-        <_>
-          6 11 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 3 -1.</_>
-        <_>
-          6 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          4 0 2 1 2.</_>
-        <_>
-          6 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 12 2 -1.</_>
-        <_>
-          0 11 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 8 5 -1.</_>
-        <_>
-          4 11 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 7 8 -1.</_>
-        <_>
-          2 4 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 2 -1.</_>
-        <_>
-          3 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 17 3 3 -1.</_>
-        <_>
-          9 18 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 3 3 -1.</_>
-        <_>
-          0 18 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          0 18 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 12 5 -1.</_>
-        <_>
-          3 11 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 1 -1.</_>
-        <_>
-          8 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 1 4 -1.</_>
-        <_>
-          4 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 7 -1.</_>
-        <_>
-          6 0 2 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 7 -1.</_>
-        <_>
-          4 0 2 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 12 3 -1.</_>
-        <_>
-          0 17 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 17 4 2 -1.</_>
-        <_>
-          4 17 2 1 2.</_>
-        <_>
-          6 18 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 1 -1.</_>
-        <_>
-          10 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 1 -1.</_>
-        <_>
-          1 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 2 -1.</_>
-        <_>
-          7 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 3 1 -1.</_>
-        <_>
-          4 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 7 -1.</_>
-        <_>
-          10 3 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 2 -1.</_>
-        <_>
-          5 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 4 -1.</_>
-        <_>
-          8 6 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 4 3 -1.</_>
-        <_>
-          4 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 2 -1.</_>
-        <_>
-          10 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 3 -1.</_>
-        <_>
-          0 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 2 -1.</_>
-        <_>
-          10 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 2 -1.</_>
-        <_>
-          0 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 1 -1.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 2 1 -1.</_>
-        <_>
-          4 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 2 -1.</_>
-        <_>
-          5 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 4 2 -1.</_>
-        <_>
-          5 14 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 3 3 -1.</_>
-        <_>
-          4 7 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 6 14 -1.</_>
-        <_>
-          6 5 3 7 2.</_>
-        <_>
-          3 12 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 2 -1.</_>
-        <_>
-          3 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 18 5 2 -1.</_>
-        <_>
-          7 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 10 2 -1.</_>
-        <_>
-          0 19 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 1 15 -1.</_>
-        <_>
-          11 7 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 1 6 -1.</_>
-        <_>
-          0 7 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 9 8 -1.</_>
-        <_>
-          3 4 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 12 5 -1.</_>
-        <_>
-          6 15 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 3 6 -1.</_>
-        <_>
-          4 11 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 3 -1.</_>
-        <_>
-          8 11 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 10 2 -1.</_>
-        <_>
-          2 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 10 2 -1.</_>
-        <_>
-          5 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          8 5 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          4 5 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 5 -1.</_>
-        <_>
-          6 0 3 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 5 6 -1.</_>
-        <_>
-          6 0 5 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 2 -1.</_>
-        <_>
-          9 9 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 2 3 -1.</_>
-        <_>
-          3 9 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 3 -1.</_>
-        <_>
-          11 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 3 -1.</_>
-        <_>
-          0 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 12 8 -1.</_>
-        <_>
-          0 15 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 6 3 -1.</_>
-        <_>
-          5 13 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 16 2 4 -1.</_>
-        <_>
-          5 17 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 2 1 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 15 2 3 -1.</_>
-        <_>
-          5 16 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          4 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 2 3 -1.</_>
-        <_>
-          6 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 2 3 -1.</_>
-        <_>
-          4 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 3 -1.</_>
-        <_>
-          10 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 2 3 -1.</_>
-        <_>
-          5 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 1 8 -1.</_>
-        <_>
-          6 9 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 3 -1.</_>
-        <_>
-          0 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 3 -1.</_>
-        <_>
-          5 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 8 1 -1.</_>
-        <_>
-          6 9 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 15 2 3 -1.</_>
-        <_>
-          5 16 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 15 3 2 -1.</_>
-        <_>
-          7 16 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 13 2 3 -1.</_>
-        <_>
-          9 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 2 3 -1.</_>
-        <_>
-          1 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 12 12 -1.</_>
-        <_>
-          0 9 12 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 2 -1.</_>
-        <_>
-          1 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 6 1 -1.</_>
-        <_>
-          8 15 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 4 -1.</_>
-        <_>
-          0 9 1 2 2.</_>
-        <_>
-          1 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 17 8 2 -1.</_>
-        <_>
-          6 17 4 1 2.</_>
-        <_>
-          2 18 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 9 2 -1.</_>
-        <_>
-          1 9 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 1 4 -1.</_>
-        <_>
-          5 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 3 -1.</_>
-        <_>
-          7 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 3 -1.</_>
-        <_>
-          5 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 6 -1.</_>
-        <_>
-          0 13 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 3 -1.</_>
-        <_>
-          6 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 17 1 3 -1.</_>
-        <_>
-          9 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 17 1 3 -1.</_>
-        <_>
-          2 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 12 6 -1.</_>
-        <_>
-          0 11 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 6 2 -1.</_>
-        <_>
-          5 6 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 4 -1.</_>
-        <_>
-          7 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 4 3 -1.</_>
-        <_>
-          5 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 16 -1.</_>
-        <_>
-          11 8 1 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 20 -1.</_>
-        <_>
-          0 5 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 13 6 6 -1.</_>
-        <_>
-          9 13 3 3 2.</_>
-        <_>
-          6 16 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 4 -1.</_>
-        <_>
-          8 12 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 3 -1.</_>
-        <_>
-          1 1 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 6 6 -1.</_>
-        <_>
-          0 13 3 3 2.</_>
-        <_>
-          3 16 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 1 -1.</_>
-        <_>
-          9 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 2 -1.</_>
-        <_>
-          0 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 2 2 -1.</_>
-        <_>
-          3 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 2 -1.</_>
-        <_>
-          11 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 3 -1.</_>
-        <_>
-          4 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 5 12 -1.</_>
-        <_>
-          4 8 5 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 3 -1.</_>
-        <_>
-          1 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 3 -1.</_>
-        <_>
-          9 8 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 3 -1.</_>
-        <_>
-          3 8 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 2 -1.</_>
-        <_>
-          11 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 2 -1.</_>
-        <_>
-          0 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 17 2 1 -1.</_>
-        <_>
-          8 17 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 17 1 2 -1.</_>
-        <_>
-          4 17 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 4 -1.</_>
-        <_>
-          8 6 1 2 2.</_>
-        <_>
-          7 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 6 -1.</_>
-        <_>
-          6 8 6 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 4 -1.</_>
-        <_>
-          8 6 1 2 2.</_>
-        <_>
-          7 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 4 -1.</_>
-        <_>
-          3 6 1 2 2.</_>
-        <_>
-          4 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 2 -1.</_>
-        <_>
-          8 3 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 11 6 5 -1.</_>
-        <_>
-          3 11 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 3 3 -1.</_>
-        <_>
-          8 13 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 3 3 -1.</_>
-        <_>
-          3 13 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 2 -1.</_>
-        <_>
-          8 3 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 6 -1.</_>
-        <_>
-          4 3 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 7 -1.</_>
-        <_>
-          0 0 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 10 3 -1.</_>
-        <_>
-          1 10 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 12 4 -1.</_>
-        <_>
-          0 10 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 15 -1.</_>
-        <_>
-          0 10 3 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 7 18 -1.</_>
-        <_>
-          5 9 7 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 5 -1.</_>
-        <_>
-          2 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 2 -1.</_>
-        <_>
-          4 2 2 1 2.</_>
-        <_>
-          6 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          7 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 7 6 2 -1.</_>
-        <_>
-          3 7 3 1 2.</_>
-        <_>
-          6 8 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 10 10 -1.</_>
-        <_>
-          6 8 5 5 2.</_>
-        <_>
-          1 13 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 3 -1.</_>
-        <_>
-          1 1 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 12 3 -1.</_>
-        <_>
-          0 17 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 12 -1.</_>
-        <_>
-          0 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 17 2 1 -1.</_>
-        <_>
-          10 17 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          0 18 6 1 2.</_>
-        <_>
-          6 19 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 5 -1.</_>
-        <_>
-          7 4 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 5 3 -1.</_>
-        <_>
-          5 4 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 3 -1.</_>
-        <_>
-          11 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 3 -1.</_>
-        <_>
-          0 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 2 -1.</_>
-        <_>
-          8 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 3 -1.</_>
-        <_>
-          4 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 1 -1.</_>
-        <_>
-          6 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 2 -1.</_>
-        <_>
-          5 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 1 2 -1.</_>
-        <_>
-          11 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 2 -1.</_>
-        <_>
-          0 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_>
-        <_>
-          7 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 2 -1.</_>
-        <_>
-          5 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 1 -1.</_>
-        <_>
-          9 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 8 12 -1.</_>
-        <_>
-          0 7 8 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 12 6 -1.</_>
-        <_>
-          0 16 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 17 2 1 -1.</_>
-        <_>
-          10 17 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 17 1 2 -1.</_>
-        <_>
-          2 17 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 1 -1.</_>
-        <_>
-          10 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 1 3 -1.</_>
-        <_>
-          2 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 2 -1.</_>
-        <_>
-          10 12 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 12 8 -1.</_>
-        <_>
-          0 11 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 8 -1.</_>
-        <_>
-          5 10 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 1 2 -1.</_>
-        <_>
-          5 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 4 -1.</_>
-        <_>
-          9 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 4 1 -1.</_>
-        <_>
-          3 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 1 -1.</_>
-        <_>
-          10 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 1 -1.</_>
-        <_>
-          1 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 1 -1.</_>
-        <_>
-          10 6 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 1 2 -1.</_>
-        <_>
-          2 6 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 1 3 -1.</_>
-        <_>
-          6 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 1 3 -1.</_>
-        <_>
-          0 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_>
-        <_>
-          7 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 2 -1.</_>
-        <_>
-          1 0 2 1 2.</_>
-        <_>
-          3 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 3 -1.</_>
-        <_>
-          6 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 3 3 -1.</_>
-        <_>
-          5 12 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 10 1 6 -1.</_>
-        <_>
-          6 10 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 2 1 -1.</_>
-        <_>
-          3 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          9 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 6 1 -1.</_>
-        <_>
-          6 11 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 15 1 3 -1.</_>
-        <_>
-          6 16 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 16 6 2 -1.</_>
-        <_>
-          2 16 3 1 2.</_>
-        <_>
-          5 17 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 6 -1.</_>
-        <_>
-          6 1 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 2 -1.</_>
-        <_>
-          6 1 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 1 -1.</_>
-        <_>
-          9 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 3 1 -1.</_>
-        <_>
-          2 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 1 -1.</_>
-        <_>
-          8 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 4 -1.</_>
-        <_>
-          8 7 1 2 2.</_>
-        <_>
-          7 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 4 -1.</_>
-        <_>
-          3 7 1 2 2.</_>
-        <_>
-          4 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 4 5 12 -1.</_>
-        <_>
-          2 7 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 7 18 -1.</_>
-        <_>
-          5 9 7 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 7 18 -1.</_>
-        <_>
-          0 9 7 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 1 6 -1.</_>
-        <_>
-          11 12 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          4 0 2 1 2.</_>
-        <_>
-          6 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          11 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 6 -1.</_>
-        <_>
-          0 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 3 -1.</_>
-        <_>
-          5 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 15 6 2 -1.</_>
-        <_>
-          3 15 3 1 2.</_>
-        <_>
-          6 16 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 6 -1.</_>
-        <_>
-          6 13 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 11 8 5 -1.</_>
-        <_>
-          4 11 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 5 -1.</_>
-        <_>
-          10 1 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 12 13 -1.</_>
-        <_>
-          6 7 6 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 8 -1.</_>
-        <_>
-          6 10 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 8 3 -1.</_>
-        <_>
-          6 10 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 3 -1.</_>
-        <_>
-          1 1 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 2 3 -1.</_>
-        <_>
-          9 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 2 3 -1.</_>
-        <_>
-          1 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 1 -1.</_>
-        <_>
-          10 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 6 -1.</_>
-        <_>
-          4 5 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 3 -1.</_>
-        <_>
-          7 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 2 -1.</_>
-        <_>
-          5 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 1 -1.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 1 -1.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 4 2 -1.</_>
-        <_>
-          4 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 12 9 -1.</_>
-        <_>
-          3 9 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 1 3 -1.</_>
-        <_>
-          9 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 1 3 -1.</_>
-        <_>
-          2 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 3 5 -1.</_>
-        <_>
-          7 13 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 12 5 3 -1.</_>
-        <_>
-          5 13 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 17 6 3 -1.</_>
-        <_>
-          3 18 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 15 2 4 -1.</_>
-        <_>
-          5 16 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 18 3 2 -1.</_>
-        <_>
-          8 18 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 4 -1.</_>
-        <_>
-          1 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 3 -1.</_>
-        <_>
-          9 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 4 3 2 -1.</_>
-        <_>
-          3 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 2 3 -1.</_>
-        <_>
-          5 7 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          8 5 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 6 -1.</_>
-        <_>
-          4 5 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 3 -1.</_>
-        <_>
-          10 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 1 2 -1.</_>
-        <_>
-          0 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 12 8 -1.</_>
-        <_>
-          0 5 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 3 -1.</_>
-        <_>
-          0 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 2 -1.</_>
-        <_>
-          8 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 2 3 -1.</_>
-        <_>
-          4 7 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 2 -1.</_>
-        <_>
-          7 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 2 3 -1.</_>
-        <_>
-          5 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 2 -1.</_>
-        <_>
-          6 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 15 3 2 -1.</_>
-        <_>
-          5 15 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 3 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 4 3 -1.</_>
-        <_>
-          5 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 3 3 -1.</_>
-        <_>
-          4 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 16 1 4 -1.</_>
-        <_>
-          7 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 16 1 4 -1.</_>
-        <_>
-          4 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 1 6 -1.</_>
-        <_>
-          6 13 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 13 6 1 -1.</_>
-        <_>
-          6 13 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 1 6 -1.</_>
-        <_>
-          4 9 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 1 -1.</_>
-        <_>
-          8 9 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 1 6 -1.</_>
-        <_>
-          11 12 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 6 -1.</_>
-        <_>
-          0 12 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 1 -1.</_>
-        <_>
-          3 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 8 -1.</_>
-        <_>
-          3 4 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 6 12 -1.</_>
-        <_>
-          3 7 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 1 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 2 -1.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 8 3 -1.</_>
-        <_>
-          4 12 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 4 -1.</_>
-        <_>
-          11 0 1 2 2.</_>
-        <_>
-          10 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 4 -1.</_>
-        <_>
-          0 0 1 2 2.</_>
-        <_>
-          1 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 6 -1.</_>
-        <_>
-          11 9 1 3 2.</_>
-        <_>
-          10 12 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 12 3 -1.</_>
-        <_>
-          0 11 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 1 3 -1.</_>
-        <_>
-          7 12 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 1 3 -1.</_>
-        <_>
-          4 12 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 2 3 -1.</_>
-        <_>
-          6 12 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 2 3 -1.</_>
-        <_>
-          4 12 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 1 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 3 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 2 -1.</_>
-        <_>
-          6 1 2 1 2.</_>
-        <_>
-          4 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 6 -1.</_>
-        <_>
-          4 2 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 6 -1.</_>
-        <_>
-          11 9 1 3 2.</_>
-        <_>
-          10 12 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 6 -1.</_>
-        <_>
-          0 9 1 3 2.</_>
-        <_>
-          1 12 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 6 2 -1.</_>
-        <_>
-          3 9 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 12 3 -1.</_>
-        <_>
-          0 9 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 2 -1.</_>
-        <_>
-          7 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 2 3 -1.</_>
-        <_>
-          5 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 2 -1.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 2 -1.</_>
-        <_>
-          0 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 2 -1.</_>
-        <_>
-          7 0 2 1 2.</_>
-        <_>
-          5 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 3 -1.</_>
-        <_>
-          5 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 3 -1.</_>
-        <_>
-          8 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_>
-        <_>
-          5 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 17 1 3 -1.</_>
-        <_>
-          10 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 4 -1.</_>
-        <_>
-          0 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 3 -1.</_>
-        <_>
-          8 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 2 -1.</_>
-        <_>
-          4 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 1 3 -1.</_>
-        <_>
-          5 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 7 -1.</_>
-        <_>
-          10 1 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 8 -1.</_>
-        <_>
-          1 1 1 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 1 6 -1.</_>
-        <_>
-          11 11 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 11 6 1 -1.</_>
-        <_>
-          1 11 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 6 6 -1.</_>
-        <_>
-          2 4 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 4 1 -1.</_>
-        <_>
-          9 4 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 1 4 -1.</_>
-        <_>
-          3 4 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 14 4 2 -1.</_>
-        <_>
-          6 14 2 1 2.</_>
-        <_>
-          4 15 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 16 1 4 -1.</_>
-        <_>
-          5 17 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 3 5 -1.</_>
-        <_>
-          7 13 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 12 5 3 -1.</_>
-        <_>
-          5 13 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 2 -1.</_>
-        <_>
-          4 2 2 1 2.</_>
-        <_>
-          6 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 3 -1.</_>
-        <_>
-          9 9 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 5 3 -1.</_>
-        <_>
-          4 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 17 2 3 -1.</_>
-        <_>
-          9 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 2 3 -1.</_>
-        <_>
-          1 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 4 10 -1.</_>
-        <_>
-          10 2 2 5 2.</_>
-        <_>
-          8 7 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 4 10 -1.</_>
-        <_>
-          0 2 2 5 2.</_>
-        <_>
-          2 7 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 5 -1.</_>
-        <_>
-          3 13 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          6 18 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 14 5 6 -1.</_>
-        <_>
-          4 17 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 3 -1.</_>
-        <_>
-          0 1 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 2 -1.</_>
-        <_>
-          0 4 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 8 -1.</_>
-        <_>
-          2 0 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 3 -1.</_>
-        <_>
-          6 10 3 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 10 6 4 -1.</_>
-        <_>
-          4 10 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          6 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 2 -1.</_>
-        <_>
-          4 0 1 1 2.</_>
-        <_>
-          5 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 5 2 -1.</_>
-        <_>
-          7 13 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 3 -1.</_>
-        <_>
-          0 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 2 -1.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          4 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 4 -1.</_>
-        <_>
-          7 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 4 -1.</_>
-        <_>
-          3 6 1 2 2.</_>
-        <_>
-          4 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 5 2 -1.</_>
-        <_>
-          7 13 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 13 2 5 -1.</_>
-        <_>
-          5 13 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 2 -1.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          5 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          7 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 15 12 5 -1.</_>
-        <_>
-          3 15 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 17 1 2 -1.</_>
-        <_>
-          3 17 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 2 -1.</_>
-        <_>
-          9 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 14 4 6 -1.</_>
-        <_>
-          1 14 2 3 2.</_>
-        <_>
-          3 17 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 2 -1.</_>
-        <_>
-          9 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 8 3 -1.</_>
-        <_>
-          2 10 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 2 -1.</_>
-        <_>
-          9 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 1 3 -1.</_>
-        <_>
-          3 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 1 3 -1.</_>
-        <_>
-          8 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 1 3 -1.</_>
-        <_>
-          3 13 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 6 -1.</_>
-        <_>
-          10 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 6 -1.</_>
-        <_>
-          1 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 16 -1.</_>
-        <_>
-          6 12 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 3 2 -1.</_>
-        <_>
-          2 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 6 -1.</_>
-        <_>
-          9 5 1 3 2.</_>
-        <_>
-          8 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 2 6 -1.</_>
-        <_>
-          2 5 1 3 2.</_>
-        <_>
-          3 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 12 18 -1.</_>
-        <_>
-          6 2 6 9 2.</_>
-        <_>
-          0 11 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 4 -1.</_>
-        <_>
-          0 13 6 2 2.</_>
-        <_>
-          6 15 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 12 12 -1.</_>
-        <_>
-          0 7 12 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 14 3 6 -1.</_>
-        <_>
-          5 14 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 2 3 -1.</_>
-        <_>
-          6 12 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 2 3 -1.</_>
-        <_>
-          4 12 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 10 2 -1.</_>
-        <_>
-          6 9 5 1 2.</_>
-        <_>
-          1 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 6 -1.</_>
-        <_>
-          4 5 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 10 8 7 -1.</_>
-        <_>
-          4 10 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 4 -1.</_>
-        <_>
-          6 7 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 13 4 2 -1.</_>
-        <_>
-          9 13 2 1 2.</_>
-        <_>
-          7 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 4 2 -1.</_>
-        <_>
-          1 13 2 1 2.</_>
-        <_>
-          3 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 3 -1.</_>
-        <_>
-          9 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 2 3 -1.</_>
-        <_>
-          2 8 1 3 2.</_></rects></_></features></cascade>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_righteye.xml b/data/haarcascades/haarcascade_mcs_righteye.xml
deleted file mode 100644
index 8db288d262..0000000000
--- a/data/haarcascades/haarcascade_mcs_righteye.xml
+++ /dev/null
@@ -1,34105 +0,0 @@
-<?xml version="1.0"?>
-<!--
-18x12 Right eye (in the image) detector computed with 7000 positive samples
-2006-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 – Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 – Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@ARTICLE{Castrillon11-mva,
-					  author = {Modesto Castrill\'on and Oscar D\'eniz and Daniel Hern\'andez and Javier Lorenzo},
-					  title = {A comparison of face and facial feature detectors based on the Viola–Jones general object detection framework},
-					  journal = {Machine Vision and Applications},
-					  year = {2011},
-					  volume = {22},
-					  pages = {481-494},
-					  number = {3},
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
-  <featureType>HAAR</featureType>
-  <height>18</height>
-  <width>12</width>
-  <stageParams>
-    <maxWeakCount>415</maxWeakCount></stageParams>
-  <featureParams>
-    <maxCatCount>0</maxCatCount></featureParams>
-  <stageNum>18</stageNum>
-  <stages>
-    <_>
-      <maxWeakCount>14</maxWeakCount>
-      <stageThreshold>-1.8531819581985474e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 0 -2.4424770474433899e-01</internalNodes>
-          <leafValues>
-            6.9875770807266235e-01 -6.8658047914505005e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1 -7.8023127571213990e-05</internalNodes>
-          <leafValues>
-            1.8409989774227142e-01 -1.5867869555950165e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2 6.1863329261541367e-02</internalNodes>
-          <leafValues>
-            -5.8069580793380737e-01 4.2429021000862122e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3 1.0108880087500438e-04</internalNodes>
-          <leafValues>
-            -2.1480329334735870e-01 2.5654569268226624e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 4 -9.1220928879920393e-05</internalNodes>
-          <leafValues>
-            3.8367459177970886e-01 -6.1654907464981079e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 5 -3.0509479343891144e-02</internalNodes>
-          <leafValues>
-            3.9360129833221436e-01 -1.3422299921512604e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 6 -9.1780202637892216e-05</internalNodes>
-          <leafValues>
-            2.7786558866500854e-01 -4.3007740378379822e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 7 2.7771899476647377e-02</internalNodes>
-          <leafValues>
-            -8.0776482820510864e-02 2.8311640024185181e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 8 -2.9620470479130745e-02</internalNodes>
-          <leafValues>
-            4.8583909869194031e-01 -1.9754469394683838e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 9 2.2866599261760712e-02</internalNodes>
-          <leafValues>
-            1.0636190325021744e-01 -7.5176268815994263e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 10 -4.1282488964498043e-03</internalNodes>
-          <leafValues>
-            -6.7065757513046265e-01 1.0479719936847687e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 11 4.9167869292432442e-05</internalNodes>
-          <leafValues>
-            -4.3471860885620117e-01 1.9802249968051910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 12 1.0719999670982361e-01</internalNodes>
-          <leafValues>
-            -8.9806847274303436e-02 7.4682819843292236e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 13 -1.0073629766702652e-01</internalNodes>
-          <leafValues>
-            5.0939172506332397e-01 -1.3393540680408478e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>18</maxWeakCount>
-      <stageThreshold>-1.7752469778060913e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 14 1.7802350223064423e-01</internalNodes>
-          <leafValues>
-            -7.5870281457901001e-01 5.3465932607650757e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 15 -6.5577399730682373e-01</internalNodes>
-          <leafValues>
-            6.4692652225494385e-01 -4.3502590060234070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 16 -4.0021299355430529e-05</internalNodes>
-          <leafValues>
-            2.9965978860855103e-01 -5.6885862350463867e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 17 -3.7154618650674820e-02</internalNodes>
-          <leafValues>
-            3.4918901324272156e-01 -2.5589430704712868e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 18 -1.2173940241336823e-01</internalNodes>
-          <leafValues>
-            6.1586397886276245e-01 -2.0626740157604218e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 19 5.2311879699118435e-05</internalNodes>
-          <leafValues>
-            -4.3647938966751099e-01 2.1958270668983459e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 20 8.0859176814556122e-02</internalNodes>
-          <leafValues>
-            -1.9945010542869568e-01 6.7326688766479492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 21 4.0166039980249479e-05</internalNodes>
-          <leafValues>
-            -4.5640110969543457e-02 1.9430699944496155e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 22 -3.1046951335156336e-05</internalNodes>
-          <leafValues>
-            2.7887210249900818e-01 -3.9368268847465515e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 23 4.4764861464500427e-02</internalNodes>
-          <leafValues>
-            1.5304270200431347e-02 -5.4978501796722412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 24 4.1439689084654674e-05</internalNodes>
-          <leafValues>
-            -4.0887549519538879e-01 2.4293379485607147e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 25 -6.8109878338873386e-03</internalNodes>
-          <leafValues>
-            2.0475849509239197e-01 -1.7610409855842590e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 26 -1.1959940195083618e-02</internalNodes>
-          <leafValues>
-            3.2010918855667114e-01 -2.4382120370864868e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 27 4.1247010231018066e-03</internalNodes>
-          <leafValues>
-            1.0142499953508377e-01 -6.7148768901824951e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 28 4.8378468491137028e-03</internalNodes>
-          <leafValues>
-            1.0296879708766937e-01 -7.6776862144470215e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 29 -6.9100200198590755e-03</internalNodes>
-          <leafValues>
-            -5.3126591444015503e-01 1.0427720099687576e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 30 -1.0080339759588242e-01</internalNodes>
-          <leafValues>
-            5.0777941942214966e-01 -1.3023640215396881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 31 -1.9967159628868103e-01</internalNodes>
-          <leafValues>
-            3.8986781239509583e-01 -1.6772779822349548e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>28</maxWeakCount>
-      <stageThreshold>-1.6665699481964111e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 32 2.5776880979537964e-01</internalNodes>
-          <leafValues>
-            -5.8348870277404785e-01 5.5340260267257690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 33 -7.3068267107009888e-01</internalNodes>
-          <leafValues>
-            5.5796027183532715e-01 -3.2565701007843018e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 34 -2.7534509077668190e-02</internalNodes>
-          <leafValues>
-            4.8059350252151489e-01 -2.3844310641288757e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 35 -2.3275651037693024e-03</internalNodes>
-          <leafValues>
-            -3.6521190404891968e-01 4.5028999447822571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 36 1.1417310452088714e-03</internalNodes>
-          <leafValues>
-            -3.4956368803977966e-01 2.9769980907440186e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 37 -3.3687320537865162e-03</internalNodes>
-          <leafValues>
-            -7.0289838314056396e-01 1.2980960309505463e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 38 2.4614449590444565e-02</internalNodes>
-          <leafValues>
-            1.3107569515705109e-01 -5.4708969593048096e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 39 -5.8426922187209129e-03</internalNodes>
-          <leafValues>
-            -5.8647221326828003e-01 9.7731806337833405e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 40 -5.4343082010746002e-03</internalNodes>
-          <leafValues>
-            -5.7326608896255493e-01 1.1278089880943298e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 41 2.2054079920053482e-02</internalNodes>
-          <leafValues>
-            -9.2888571321964264e-02 1.3657820224761963e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 42 -1.5347589738667011e-02</internalNodes>
-          <leafValues>
-            -6.4429342746734619e-01 7.4354633688926697e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 43 5.0572961568832397e-02</internalNodes>
-          <leafValues>
-            5.6103519164025784e-03 -5.0079947710037231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 44 -1.3261740095913410e-02</internalNodes>
-          <leafValues>
-            -7.3392891883850098e-01 6.5433360636234283e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 45 -3.8969300221651793e-03</internalNodes>
-          <leafValues>
-            3.1489849090576172e-01 -8.1432163715362549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 46 -2.4822659790515900e-02</internalNodes>
-          <leafValues>
-            3.8604599237442017e-01 -1.2266899645328522e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 47 -1.1084429919719696e-02</internalNodes>
-          <leafValues>
-            -5.6293141841888428e-01 5.4145891219377518e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 48 1.8387300893664360e-02</internalNodes>
-          <leafValues>
-            6.0027949512004852e-02 -6.5090698003768921e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 49 -2.7180250734090805e-02</internalNodes>
-          <leafValues>
-            2.1603550016880035e-01 -9.3256972730159760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 50 -1.8154690042138100e-02</internalNodes>
-          <leafValues>
-            2.4887280166149139e-01 -1.7248439788818359e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 51 -7.4400618672370911e-02</internalNodes>
-          <leafValues>
-            2.2635079920291901e-01 -1.9566230475902557e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 52 2.5560980662703514e-02</internalNodes>
-          <leafValues>
-            -1.1583790183067322e-01 3.8171079754829407e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 53 -1.4836280047893524e-01</internalNodes>
-          <leafValues>
-            4.4178679585456848e-01 -9.0950436890125275e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 54 2.7006680611521006e-03</internalNodes>
-          <leafValues>
-            7.7947027981281281e-02 -5.5427479743957520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 55 -8.6278393864631653e-03</internalNodes>
-          <leafValues>
-            -6.9937318563461304e-01 4.9830928444862366e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 56 6.8439252674579620e-02</internalNodes>
-          <leafValues>
-            -7.5978577136993408e-02 6.2046712636947632e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 57 -1.0975140146911144e-02</internalNodes>
-          <leafValues>
-            -6.0147458314895630e-01 7.1278177201747894e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 58 1.8099289387464523e-02</internalNodes>
-          <leafValues>
-            5.1625069230794907e-02 -6.1827600002288818e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 59 -3.3489301800727844e-02</internalNodes>
-          <leafValues>
-            -4.7863158583641052e-01 1.8769619986414909e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>42</maxWeakCount>
-      <stageThreshold>-1.6865210533142090e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 60 -1.0777440071105957e+00</internalNodes>
-          <leafValues>
-            6.4120662212371826e-01 -4.2570671439170837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 61 -9.1444328427314758e-02</internalNodes>
-          <leafValues>
-            -4.7957998514175415e-01 5.7769209146499634e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 62 -7.4071469716727734e-03</internalNodes>
-          <leafValues>
-            2.8621929883956909e-01 -4.1994690895080566e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 63 4.7062758356332779e-02</internalNodes>
-          <leafValues>
-            -4.3619200587272644e-01 2.6828920841217041e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 64 -3.6404181271791458e-02</internalNodes>
-          <leafValues>
-            3.5899761319160461e-01 -2.1427430212497711e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 65 8.6630545556545258e-03</internalNodes>
-          <leafValues>
-            1.4662440121173859e-01 -6.7707377672195435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 66 9.3371979892253876e-03</internalNodes>
-          <leafValues>
-            5.1249351352453232e-02 -6.2359398603439331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 67 -8.9909201487898827e-03</internalNodes>
-          <leafValues>
-            1.8665479496121407e-02 -1.2940050661563873e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 68 6.0002477839589119e-03</internalNodes>
-          <leafValues>
-            1.2412460148334503e-01 -4.5031398534774780e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 69 -4.1527119465172291e-03</internalNodes>
-          <leafValues>
-            -6.1313831806182861e-01 1.0697679966688156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 70 -9.4439463282469660e-05</internalNodes>
-          <leafValues>
-            1.6724079847335815e-01 -2.9332458972930908e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 71 7.7140098437666893e-03</internalNodes>
-          <leafValues>
-            9.1794438660144806e-02 -5.2451968193054199e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 72 2.9233409091830254e-02</internalNodes>
-          <leafValues>
-            -1.5653559565544128e-01 3.0735900998115540e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 73 -2.8729479759931564e-02</internalNodes>
-          <leafValues>
-            2.0408889651298523e-01 -1.5190300345420837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 74 -9.4922380521893501e-03</internalNodes>
-          <leafValues>
-            -6.5572720766067505e-01 8.0031089484691620e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 75 1.5254859812557697e-02</internalNodes>
-          <leafValues>
-            -7.0718497037887573e-02 1.8037749826908112e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 76 8.5085026919841766e-02</internalNodes>
-          <leafValues>
-            -8.7161593139171600e-02 5.4529631137847900e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 77 -1.2432079762220383e-02</internalNodes>
-          <leafValues>
-            -6.0595548152923584e-01 6.3416220247745514e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 78 7.8379884362220764e-03</internalNodes>
-          <leafValues>
-            8.5878178477287292e-02 -4.8387068510055542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 79 3.0610410496592522e-02</internalNodes>
-          <leafValues>
-            -8.5991300642490387e-02 1.2778289616107941e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 80 -7.8582251444458961e-03</internalNodes>
-          <leafValues>
-            -4.7124311327934265e-01 8.1875868141651154e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 81 -4.0620751678943634e-02</internalNodes>
-          <leafValues>
-            3.4080961346626282e-01 -6.9700337946414948e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 82 3.8473328948020935e-01</internalNodes>
-          <leafValues>
-            9.9060591310262680e-04 -4.8748442382812500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 83 8.8061448186635971e-03</internalNodes>
-          <leafValues>
-            2.1548839285969734e-02 -3.8199108839035034e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 84 -9.8602060461416841e-05</internalNodes>
-          <leafValues>
-            1.4345769584178925e-01 -2.5611689686775208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 85 4.4175058603286743e-02</internalNodes>
-          <leafValues>
-            -3.5266518592834473e-02 5.0838309526443481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 86 1.6760559519752860e-03</internalNodes>
-          <leafValues>
-            9.2227913439273834e-02 -4.0895891189575195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 87 -2.0384270697832108e-02</internalNodes>
-          <leafValues>
-            1.1310269683599472e-01 -6.7171029746532440e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 88 -2.8324460610747337e-02</internalNodes>
-          <leafValues>
-            3.2514190673828125e-01 -1.1220960319042206e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 89 1.1148240417242050e-02</internalNodes>
-          <leafValues>
-            4.3706391006708145e-02 -5.6290757656097412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 90 -6.1231020838022232e-02</internalNodes>
-          <leafValues>
-            3.2292550802230835e-01 -1.1842100322246552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 91 -2.5340579450130463e-03</internalNodes>
-          <leafValues>
-            -2.8566569089889526e-01 9.7137562930583954e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 92 9.4344420358538628e-03</internalNodes>
-          <leafValues>
-            5.5838178843259811e-02 -6.1303967237472534e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 93 -2.4996360763907433e-02</internalNodes>
-          <leafValues>
-            3.7379479408264160e-01 -9.5438957214355469e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 94 -1.5579929575324059e-02</internalNodes>
-          <leafValues>
-            -4.3321099877357483e-01 8.2081481814384460e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 95 -7.4995987117290497e-02</internalNodes>
-          <leafValues>
-            2.2193589806556702e-01 -1.5627489984035492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 96 -1.0779550075531006e+00</internalNodes>
-          <leafValues>
-            -2.7007299661636353e-01 1.3836389780044556e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 97 5.9222001582384109e-02</internalNodes>
-          <leafValues>
-            -3.7382701039314270e-01 1.1695600301027298e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 98 -8.6024785414338112e-03</internalNodes>
-          <leafValues>
-            2.7681049704551697e-01 -1.2526260316371918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 99 -9.9356677383184433e-03</internalNodes>
-          <leafValues>
-            -5.1475620269775391e-01 6.3418559730052948e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 100 1.2248200178146362e-01</internalNodes>
-          <leafValues>
-            -8.3492033183574677e-02 3.8797920942306519e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 101 1.2311439961194992e-02</internalNodes>
-          <leafValues>
-            5.4995030164718628e-02 -3.6952498555183411e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>56</maxWeakCount>
-      <stageThreshold>-1.6953380107879639e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 102 -6.7200362682342529e-02</internalNodes>
-          <leafValues>
-            4.5108181238174438e-01 -5.3534239530563354e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 103 -8.2662038505077362e-02</internalNodes>
-          <leafValues>
-            3.4775099158287048e-01 -1.2517650425434113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 104 -2.5940420106053352e-02</internalNodes>
-          <leafValues>
-            3.1833609938621521e-01 -3.6004140973091125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 105 5.3580861538648605e-02</internalNodes>
-          <leafValues>
-            -6.5426699817180634e-02 1.6147750616073608e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 106 -5.7038158178329468e-02</internalNodes>
-          <leafValues>
-            3.7935408949851990e-01 -2.5456818938255310e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 107 1.3242330402135849e-02</internalNodes>
-          <leafValues>
-            -4.4407260417938232e-01 2.3491750657558441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 108 -3.9509739726781845e-02</internalNodes>
-          <leafValues>
-            4.3274340033531189e-01 -1.9499629735946655e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 109 -2.8298990800976753e-02</internalNodes>
-          <leafValues>
-            2.0397779345512390e-01 -8.9589469134807587e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 110 6.3852379098534584e-03</internalNodes>
-          <leafValues>
-            -3.5488009452819824e-01 1.9138309359550476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 111 1.1374940164387226e-02</internalNodes>
-          <leafValues>
-            -1.3457709550857544e-01 1.2404730170965195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 112 6.5829078666865826e-03</internalNodes>
-          <leafValues>
-            9.5501258969306946e-02 -4.7210261225700378e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 113 -8.6454320698976517e-03</internalNodes>
-          <leafValues>
-            3.2122609019279480e-01 -8.4004022181034088e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 114 -6.4918738789856434e-03</internalNodes>
-          <leafValues>
-            3.7122198939323425e-01 -1.4155159890651703e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 115 9.4650797545909882e-03</internalNodes>
-          <leafValues>
-            4.8017621040344238e-02 -4.9044439196586609e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 116 2.2820439189672470e-02</internalNodes>
-          <leafValues>
-            -1.2555100023746490e-01 3.2097619771957397e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 117 5.9925079345703125e-02</internalNodes>
-          <leafValues>
-            8.4711313247680664e-02 -4.5627591013908386e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 118 8.8552264496684074e-03</internalNodes>
-          <leafValues>
-            6.0358591377735138e-02 -6.0775542259216309e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 119 -1.7045319080352783e-02</internalNodes>
-          <leafValues>
-            9.4534762203693390e-02 -1.0723099857568741e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 120 -3.8314480334520340e-02</internalNodes>
-          <leafValues>
-            -5.7877939939498901e-01 6.7216247320175171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 121 -6.9333538413047791e-02</internalNodes>
-          <leafValues>
-            -3.3919590711593628e-01 1.9480850547552109e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 122 -1.8777130171656609e-02</internalNodes>
-          <leafValues>
-            1.6830919682979584e-01 -2.0851990580558777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 123 3.2719969749450684e-02</internalNodes>
-          <leafValues>
-            3.0514130368828773e-02 -4.5696869492530823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 124 -2.1114969626069069e-02</internalNodes>
-          <leafValues>
-            -4.8196780681610107e-01 7.8218683600425720e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 125 4.8785269260406494e-02</internalNodes>
-          <leafValues>
-            2.0097790285944939e-02 -3.5147210955619812e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 126 5.9009779244661331e-02</internalNodes>
-          <leafValues>
-            5.0008200109004974e-02 -7.1498161554336548e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 127 -1.3095900416374207e-02</internalNodes>
-          <leafValues>
-            -2.0079830288887024e-01 7.4462093412876129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 128 4.8975921235978603e-03</internalNodes>
-          <leafValues>
-            5.5243130773305893e-02 -5.7409340143203735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 129 -5.4940162226557732e-03</internalNodes>
-          <leafValues>
-            3.5677149891853333e-01 -8.6807981133460999e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 130 -3.1561508774757385e-02</internalNodes>
-          <leafValues>
-            -4.6615409851074219e-01 7.0244632661342621e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 131 2.2134589962661266e-03</internalNodes>
-          <leafValues>
-            -6.8283282220363617e-02 7.9536527395248413e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 132 -8.2062073051929474e-03</internalNodes>
-          <leafValues>
-            2.7306330204010010e-01 -1.1220429837703705e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 133 -4.2711659334599972e-03</internalNodes>
-          <leafValues>
-            2.0383749902248383e-01 -1.1134400218725204e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 134 -4.5153028331696987e-03</internalNodes>
-          <leafValues>
-            2.1680480241775513e-01 -1.4698010683059692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 135 -6.8448767997324467e-03</internalNodes>
-          <leafValues>
-            -5.1700651645660400e-01 5.7613730430603027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 136 -9.3936352059245110e-03</internalNodes>
-          <leafValues>
-            -7.0918929576873779e-01 4.1451569646596909e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 137 -3.5494949668645859e-02</internalNodes>
-          <leafValues>
-            4.1316780447959900e-01 -6.1823520809412003e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 138 -3.0114190652966499e-02</internalNodes>
-          <leafValues>
-            4.9658629298210144e-01 -5.9313420206308365e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 139 -2.8231500182300806e-03</internalNodes>
-          <leafValues>
-            -4.2436400055885315e-01 7.1718901395797729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 140 -5.4673277772963047e-03</internalNodes>
-          <leafValues>
-            -5.5095481872558594e-01 4.6391129493713379e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 141 1.0120819933945313e-04</internalNodes>
-          <leafValues>
-            -5.8151338249444962e-02 5.8602251112461090e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 142 -9.6490257419645786e-05</internalNodes>
-          <leafValues>
-            1.2582179903984070e-01 -2.2901579737663269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 143 -6.1294160783290863e-02</internalNodes>
-          <leafValues>
-            2.9266101121902466e-01 -9.5403976738452911e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 144 2.8102770447731018e-02</internalNodes>
-          <leafValues>
-            -1.1171860247850418e-01 2.8479880094528198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 145 8.5702445358037949e-03</internalNodes>
-          <leafValues>
-            3.3816758543252945e-02 -2.5395581126213074e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 146 -1.0708959773182869e-02</internalNodes>
-          <leafValues>
-            -4.0251371264457703e-01 6.1992008239030838e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 147 7.7682421542704105e-03</internalNodes>
-          <leafValues>
-            4.5514889061450958e-02 -4.4539490342140198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 148 -3.9436880499124527e-02</internalNodes>
-          <leafValues>
-            -5.9126931428909302e-01 3.6915950477123260e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 149 -8.3061866462230682e-03</internalNodes>
-          <leafValues>
-            4.1907790303230286e-01 -3.8043338805437088e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 150 -2.6948580052703619e-03</internalNodes>
-          <leafValues>
-            2.6846599578857422e-01 -1.0144890099763870e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 151 -5.0465110689401627e-02</internalNodes>
-          <leafValues>
-            1.2373439967632294e-01 -1.2334769964218140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 152 -1.0141739767277613e-04</internalNodes>
-          <leafValues>
-            1.0864509642124176e-01 -2.4142740666866302e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 153 1.2928189709782600e-02</internalNodes>
-          <leafValues>
-            -7.8642763197422028e-02 2.5868999958038330e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 154 -1.6396190039813519e-03</internalNodes>
-          <leafValues>
-            -2.5857350230216980e-01 8.3787269890308380e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 155 6.9712791591882706e-03</internalNodes>
-          <leafValues>
-            -2.5677189230918884e-02 2.0356319844722748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 156 3.9361029863357544e-02</internalNodes>
-          <leafValues>
-            -5.5376350879669189e-02 3.9945369958877563e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 157 -3.0988039448857307e-02</internalNodes>
-          <leafValues>
-            3.2057970762252808e-01 -6.4473606646060944e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>72</maxWeakCount>
-      <stageThreshold>-1.6599390506744385e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 158 -2.4494670331478119e-01</internalNodes>
-          <leafValues>
-            4.0746760368347168e-01 -4.0469241142272949e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 159 -1.8972739577293396e-02</internalNodes>
-          <leafValues>
-            3.4485670924186707e-01 -3.0548089742660522e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 160 -2.9695449396967888e-02</internalNodes>
-          <leafValues>
-            2.4475049972534180e-01 -3.6786770820617676e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 161 1.2069249898195267e-01</internalNodes>
-          <leafValues>
-            -3.3793058991432190e-01 2.0322279632091522e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 162 -5.4062519222497940e-02</internalNodes>
-          <leafValues>
-            4.5939388871192932e-01 -1.1671090126037598e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 163 -7.3384187999181449e-05</internalNodes>
-          <leafValues>
-            1.8353730440139771e-02 -1.0902920365333557e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 164 -7.9208686656784266e-05</internalNodes>
-          <leafValues>
-            1.5077480673789978e-01 -3.7546008825302124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 165 2.6447780430316925e-02</internalNodes>
-          <leafValues>
-            -4.1112259030342102e-02 5.3516292572021484e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 166 -8.7839355692267418e-03</internalNodes>
-          <leafValues>
-            3.7664881348609924e-01 -1.3378149271011353e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 167 1.5802720189094543e-01</internalNodes>
-          <leafValues>
-            -7.5865842401981354e-02 5.6553637981414795e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 168 -2.3577159270644188e-02</internalNodes>
-          <leafValues>
-            5.0584560632705688e-01 -6.5434440970420837e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 169 3.5952448844909668e-02</internalNodes>
-          <leafValues>
-            6.8231552839279175e-02 -5.3152531385421753e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 170 -8.6752548813819885e-03</internalNodes>
-          <leafValues>
-            2.1871459484100342e-01 -1.8592439591884613e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 171 -3.1334798783063889e-02</internalNodes>
-          <leafValues>
-            -5.2554857730865479e-01 6.3401840627193451e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 172 -4.4468481093645096e-02</internalNodes>
-          <leafValues>
-            -6.1970520019531250e-01 4.7379858791828156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 173 1.0566320270299911e-02</internalNodes>
-          <leafValues>
-            1.9362540915608406e-02 -3.8206431269645691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 174 -9.7126147011294961e-05</internalNodes>
-          <leafValues>
-            1.4222820103168488e-01 -2.2819939255714417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 175 4.3628368526697159e-02</internalNodes>
-          <leafValues>
-            9.2759296298027039e-02 -3.6083820462226868e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 176 1.0665970330592245e-04</internalNodes>
-          <leafValues>
-            -2.5239759683609009e-01 1.2652850151062012e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 177 -3.2759020105004311e-03</internalNodes>
-          <leafValues>
-            -5.0014287233352661e-01 5.5411998182535172e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 178 -5.1345061510801315e-03</internalNodes>
-          <leafValues>
-            -4.9917379021644592e-01 5.3027190268039703e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 179 -2.3086380679160357e-03</internalNodes>
-          <leafValues>
-            1.4560249447822571e-01 -1.5677399933338165e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 180 -1.1395690031349659e-02</internalNodes>
-          <leafValues>
-            -5.6590718030929565e-01 4.8358190804719925e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 181 2.1377710625529289e-02</internalNodes>
-          <leafValues>
-            -2.0428450778126717e-02 3.3207640051841736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 182 -5.4581598378717899e-03</internalNodes>
-          <leafValues>
-            1.8875059485435486e-01 -1.6000190377235413e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 183 -6.5560699440538883e-03</internalNodes>
-          <leafValues>
-            3.9806428551673889e-01 -5.0772599875926971e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 184 -3.0029900372028351e-02</internalNodes>
-          <leafValues>
-            -6.3900482654571533e-01 4.8738751560449600e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 185 1.7660830169916153e-02</internalNodes>
-          <leafValues>
-            -5.9581778943538666e-02 3.6284449696540833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 186 7.7252220362424850e-03</internalNodes>
-          <leafValues>
-            4.8472359776496887e-02 -5.8043122291564941e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 187 -3.8417279720306396e-03</internalNodes>
-          <leafValues>
-            1.3482269644737244e-01 -6.1082180589437485e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 188 1.6697360202670097e-02</internalNodes>
-          <leafValues>
-            -6.1526499688625336e-02 4.5710238814353943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 189 -4.7411560080945492e-03</internalNodes>
-          <leafValues>
-            -4.1636040806770325e-01 5.9805721044540405e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 190 -6.6320500336587429e-03</internalNodes>
-          <leafValues>
-            2.9735830426216125e-01 -8.8206142187118530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 191 1.1486539617180824e-02</internalNodes>
-          <leafValues>
-            5.0168808549642563e-02 -5.0688809156417847e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 192 -2.1305510774254799e-02</internalNodes>
-          <leafValues>
-            -5.8062469959259033e-01 4.1004549711942673e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 193 -4.7006089240312576e-02</internalNodes>
-          <leafValues>
-            3.6068481206893921e-01 -7.2690792381763458e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 194 1.7832050099968910e-02</internalNodes>
-          <leafValues>
-            -7.4530497193336487e-02 4.0493220090866089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 195 -1.5592209994792938e-01</internalNodes>
-          <leafValues>
-            1.7431819438934326e-01 -1.7088210582733154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 196 5.4303607903420925e-03</internalNodes>
-          <leafValues>
-            7.9587250947952271e-02 -3.6683198809623718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 197 3.0937120318412781e-02</internalNodes>
-          <leafValues>
-            -6.5279401838779449e-02 4.5822051167488098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 198 -1.0075340047478676e-02</internalNodes>
-          <leafValues>
-            -3.8206771016120911e-01 5.8533921837806702e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 199 -2.4391389451920986e-03</internalNodes>
-          <leafValues>
-            1.6461110115051270e-01 -1.2688189744949341e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 200 2.7846049517393112e-02</internalNodes>
-          <leafValues>
-            -6.8525552749633789e-02 2.9142960906028748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 201 -2.5113900192081928e-03</internalNodes>
-          <leafValues>
-            7.9238571226596832e-02 -4.3009191751480103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 202 5.5342530831694603e-03</internalNodes>
-          <leafValues>
-            3.6389451473951340e-02 -4.9398460984230042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 203 -1.1999580077826977e-02</internalNodes>
-          <leafValues>
-            -5.2778410911560059e-01 3.4849070012569427e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 204 -3.9921961724758148e-03</internalNodes>
-          <leafValues>
-            2.1965460479259491e-01 -9.6781797707080841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 205 -1.3837540149688721e-01</internalNodes>
-          <leafValues>
-            -2.2437030076980591e-01 1.5038269571959972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 206 3.9730938151478767e-03</internalNodes>
-          <leafValues>
-            4.8632390797138214e-02 -3.8494649529457092e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 207 -2.7530850842595100e-02</internalNodes>
-          <leafValues>
-            9.1857790946960449e-02 -1.1331369727849960e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 208 -4.8373710364103317e-02</internalNodes>
-          <leafValues>
-            2.3593319952487946e-01 -8.9034907519817352e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 209 -1.5814600046724081e-03</internalNodes>
-          <leafValues>
-            1.0996560007333755e-01 -6.9286808371543884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 210 -8.7159816175699234e-03</internalNodes>
-          <leafValues>
-            3.0356439948081970e-01 -6.6869571805000305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 211 1.8994549289345741e-02</internalNodes>
-          <leafValues>
-            1.7783800140023232e-02 -5.1624137163162231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 212 9.0731251984834671e-03</internalNodes>
-          <leafValues>
-            4.3918740004301071e-02 -4.1843789815902710e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 213 1.5486050397157669e-02</internalNodes>
-          <leafValues>
-            -5.8535698801279068e-02 2.7429381012916565e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 214 2.7820859104394913e-02</internalNodes>
-          <leafValues>
-            2.9692919924855232e-02 -6.2087607383728027e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 215 -1.3044780353084207e-03</internalNodes>
-          <leafValues>
-            1.6318100690841675e-01 -5.9719368815422058e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 216 8.5032671689987183e-02</internalNodes>
-          <leafValues>
-            -6.4964443445205688e-02 2.7426218986511230e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 217 1.7395729199051857e-02</internalNodes>
-          <leafValues>
-            3.8472320884466171e-02 -3.1618699431419373e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 218 -2.1765150129795074e-02</internalNodes>
-          <leafValues>
-            -5.2773088216781616e-01 3.4570030868053436e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 219 -9.7448393702507019e-02</internalNodes>
-          <leafValues>
-            2.5861459970474243e-01 -7.4092611670494080e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 220 -1.5628200490027666e-03</internalNodes>
-          <leafValues>
-            2.5666180253028870e-01 -7.2598278522491455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 221 -3.7647458910942078e-01</internalNodes>
-          <leafValues>
-            2.6231971383094788e-01 -7.1217708289623260e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 222 -2.1947529166936874e-02</internalNodes>
-          <leafValues>
-            -5.5471789836883545e-01 3.2997239381074905e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 223 3.8632971048355103e-01</internalNodes>
-          <leafValues>
-            2.5074239820241928e-02 -6.0832667350769043e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 224 -3.1041959300637245e-03</internalNodes>
-          <leafValues>
-            1.6470110416412354e-01 -1.0676909983158112e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 225 -3.4860908985137939e-02</internalNodes>
-          <leafValues>
-            -5.7921218872070312e-01 1.2084069661796093e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 226 1.1423420161008835e-02</internalNodes>
-          <leafValues>
-            5.6263469159603119e-02 -2.9407739639282227e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 227 5.8854189701378345e-03</internalNodes>
-          <leafValues>
-            1.7714949324727058e-02 -6.4319449663162231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 228 -6.7278537899255753e-03</internalNodes>
-          <leafValues>
-            2.2641740739345551e-01 -7.9366579651832581e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 229 -1.5968179330229759e-02</internalNodes>
-          <leafValues>
-            8.4905549883842468e-02 -6.6024817526340485e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>97</maxWeakCount>
-      <stageThreshold>-1.7070800065994263e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 230 -3.6784499883651733e-01</internalNodes>
-          <leafValues>
-            4.5800340175628662e-01 -3.3849748969078064e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 231 -9.4871893525123596e-02</internalNodes>
-          <leafValues>
-            -4.5669031143188477e-01 3.2879181206226349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 232 -1.8604120239615440e-02</internalNodes>
-          <leafValues>
-            2.0924760401248932e-01 -3.6567929387092590e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 233 2.9974810779094696e-02</internalNodes>
-          <leafValues>
-            -1.9289420545101166e-01 3.2448410987854004e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 234 5.8208271861076355e-02</internalNodes>
-          <leafValues>
-            1.3660140102729201e-03 -1.2704019775390625e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 235 -2.8189869597554207e-02</internalNodes>
-          <leafValues>
-            9.7124092280864716e-02 -1.7665229737758636e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 236 3.6802981048822403e-02</internalNodes>
-          <leafValues>
-            -5.7311378419399261e-02 5.5507022142410278e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 237 5.0173830240964890e-02</internalNodes>
-          <leafValues>
-            6.7918449640274048e-02 -5.5383729934692383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 238 1.2276550114620477e-04</internalNodes>
-          <leafValues>
-            -3.6698448657989502e-01 1.1779980361461639e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 239 -1.2047369964420795e-02</internalNodes>
-          <leafValues>
-            2.8118661046028137e-01 -9.1286137700080872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 240 -1.3500650227069855e-01</internalNodes>
-          <leafValues>
-            4.0587979555130005e-01 -1.1283899843692780e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 241 -1.4946890063583851e-02</internalNodes>
-          <leafValues>
-            1.1184260249137878e-01 -6.9855831563472748e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 242 -2.8080230578780174e-02</internalNodes>
-          <leafValues>
-            3.7134361267089844e-01 -1.1335489898920059e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 243 8.9532906713429838e-05</internalNodes>
-          <leafValues>
-            -2.4021409451961517e-01 1.5452569723129272e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 244 3.3625299111008644e-03</internalNodes>
-          <leafValues>
-            7.6281696557998657e-02 -4.2249780893325806e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 245 7.7109010890126228e-03</internalNodes>
-          <leafValues>
-            6.4429573714733124e-02 -5.2580958604812622e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 246 -4.0021299355430529e-05</internalNodes>
-          <leafValues>
-            1.2313339859247208e-01 -2.5762450695037842e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 247 -3.1202889513224363e-03</internalNodes>
-          <leafValues>
-            -4.6036028861999512e-01 5.1612310111522675e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 248 -1.0011930018663406e-02</internalNodes>
-          <leafValues>
-            -5.9611922502517700e-01 4.7229800373315811e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 249 1.7205670475959778e-02</internalNodes>
-          <leafValues>
-            -8.7691828608512878e-02 3.6531248688697815e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 250 -8.0158591270446777e-02</internalNodes>
-          <leafValues>
-            1.7942880094051361e-01 -1.8761360645294189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 251 -3.0895389616489410e-02</internalNodes>
-          <leafValues>
-            -5.3028690814971924e-01 6.2362041324377060e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 252 -4.0663570165634155e-02</internalNodes>
-          <leafValues>
-            -6.5177547931671143e-01 4.2615588754415512e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 253 1.3517879880964756e-02</internalNodes>
-          <leafValues>
-            -6.4104713499546051e-02 3.9314290881156921e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 254 2.0111180841922760e-02</internalNodes>
-          <leafValues>
-            -1.7060810327529907e-01 1.8481850624084473e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 255 1.0260569863021374e-02</internalNodes>
-          <leafValues>
-            3.3398948609828949e-02 -4.3841761350631714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 256 -1.0485230013728142e-02</internalNodes>
-          <leafValues>
-            1.9740979373455048e-01 -1.4588220417499542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 257 4.0648399590281770e-05</internalNodes>
-          <leafValues>
-            -7.9994283616542816e-02 4.1719149798154831e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 258 -3.8299830630421638e-03</internalNodes>
-          <leafValues>
-            -5.3327178955078125e-01 5.3281601518392563e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 259 1.7642440274357796e-02</internalNodes>
-          <leafValues>
-            -9.9251352250576019e-02 2.7189201116561890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 260 -2.4608120322227478e-02</internalNodes>
-          <leafValues>
-            3.0124360322952271e-01 -8.6540237069129944e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 261 1.3368680141866207e-02</internalNodes>
-          <leafValues>
-            4.3695349246263504e-02 -6.1414361000061035e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 262 -1.0268009646097198e-04</internalNodes>
-          <leafValues>
-            8.9721798896789551e-02 -2.5240990519523621e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 263 -2.8268070891499519e-02</internalNodes>
-          <leafValues>
-            -4.5758980512619019e-01 2.6957040652632713e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 264 4.5313038863241673e-03</internalNodes>
-          <leafValues>
-            6.2346488237380981e-02 -3.8223439455032349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 265 -1.4729249477386475e-01</internalNodes>
-          <leafValues>
-            1.5171539783477783e-01 -1.7683920264244080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 266 -1.5091559849679470e-02</internalNodes>
-          <leafValues>
-            -3.2118791341781616e-01 8.1255659461021423e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 267 -7.1740341372787952e-03</internalNodes>
-          <leafValues>
-            1.7002619802951813e-01 -6.0686178505420685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 268 -8.0513395369052887e-03</internalNodes>
-          <leafValues>
-            2.9498210549354553e-01 -9.3280687928199768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 269 -1.8630200624465942e-01</internalNodes>
-          <leafValues>
-            -4.4096079468727112e-01 5.3429558873176575e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 270 -1.2388650327920914e-02</internalNodes>
-          <leafValues>
-            -5.8523058891296387e-01 3.1196039170026779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 271 -5.3622801788151264e-03</internalNodes>
-          <leafValues>
-            1.0439769923686981e-01 -1.0434389859437943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 272 -1.9562510773539543e-02</internalNodes>
-          <leafValues>
-            -5.7829868793487549e-01 3.2233841717243195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 273 -1.4553970098495483e-01</internalNodes>
-          <leafValues>
-            -4.1880708932876587e-01 1.1629059445112944e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 274 -7.3159099556505680e-03</internalNodes>
-          <leafValues>
-            2.4218960106372833e-01 -7.8386463224887848e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 275 9.5743779093027115e-03</internalNodes>
-          <leafValues>
-            3.2800838351249695e-02 -3.5083159804344177e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 276 2.4385999888181686e-02</internalNodes>
-          <leafValues>
-            3.5847108811140060e-02 -4.7145798802375793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 277 1.5609519556164742e-02</internalNodes>
-          <leafValues>
-            -9.0331830084323883e-02 2.0074969530105591e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 278 1.8569679930806160e-02</internalNodes>
-          <leafValues>
-            3.5404149442911148e-02 -5.2113038301467896e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 279 1.3852110505104065e-01</internalNodes>
-          <leafValues>
-            1.9737629219889641e-02 -2.7352941036224365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 280 -2.0759139209985733e-02</internalNodes>
-          <leafValues>
-            1.9612009823322296e-01 -9.6768572926521301e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 281 -2.6231709867715836e-02</internalNodes>
-          <leafValues>
-            5.5649291723966599e-02 -5.8627698570489883e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 282 1.1033529788255692e-01</internalNodes>
-          <leafValues>
-            -6.5192982554435730e-02 3.2797458767890930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 283 8.1975180655717850e-03</internalNodes>
-          <leafValues>
-            -3.6720771342515945e-02 1.8983750045299530e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 284 1.1925240047276020e-02</internalNodes>
-          <leafValues>
-            -4.7182181477546692e-01 3.9609570056200027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 285 -1.0444080084562302e-01</internalNodes>
-          <leafValues>
-            3.0608791112899780e-01 -6.9167442619800568e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 286 9.1293286532163620e-03</internalNodes>
-          <leafValues>
-            -9.6449576318264008e-02 2.2882050275802612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 287 3.5521490644896403e-05</internalNodes>
-          <leafValues>
-            -1.3747419416904449e-01 1.2723550200462341e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 288 -6.4568631350994110e-03</internalNodes>
-          <leafValues>
-            -4.1703549027442932e-01 4.7209650278091431e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 289 -3.6431129556149244e-03</internalNodes>
-          <leafValues>
-            1.4550060033798218e-01 -7.9281456768512726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 290 -5.1797907799482346e-03</internalNodes>
-          <leafValues>
-            2.0312570035457611e-01 -8.3984777331352234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 291 1.4643589965999126e-02</internalNodes>
-          <leafValues>
-            3.9659328758716583e-02 -4.4028940796852112e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 292 -8.0946777015924454e-03</internalNodes>
-          <leafValues>
-            -4.5905250310897827e-01 3.3486161381006241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 293 1.0767610371112823e-01</internalNodes>
-          <leafValues>
-            -1.4604750322178006e-03 -9.7961211204528809e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 294 -6.4884279854595661e-03</internalNodes>
-          <leafValues>
-            1.8487909436225891e-01 -9.3405902385711670e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 295 -1.6400039196014404e-02</internalNodes>
-          <leafValues>
-            -4.0006530284881592e-01 3.2618328928947449e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 296 3.0795740894973278e-03</internalNodes>
-          <leafValues>
-            6.3936926424503326e-02 -2.4403099715709686e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 297 2.3928020149469376e-02</internalNodes>
-          <leafValues>
-            -7.4498817324638367e-02 1.5541020035743713e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 298 -8.8588669896125793e-03</internalNodes>
-          <leafValues>
-            -4.5777368545532227e-01 3.2278370112180710e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 299 -3.0064169317483902e-02</internalNodes>
-          <leafValues>
-            2.0335829257965088e-01 -4.4844739139080048e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 300 -4.7341538593173027e-03</internalNodes>
-          <leafValues>
-            1.2229750305414200e-01 -1.2873139977455139e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 301 -8.5981301963329315e-02</internalNodes>
-          <leafValues>
-            4.3083581328392029e-01 -6.3731619156897068e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 302 -2.1685559302568436e-02</internalNodes>
-          <leafValues>
-            2.8727719187736511e-01 -6.0343831777572632e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 303 -1.3941359706223011e-02</internalNodes>
-          <leafValues>
-            -5.1329857110977173e-01 1.8201520666480064e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 304 2.4440600536763668e-03</internalNodes>
-          <leafValues>
-            -8.6260870099067688e-02 1.6634729504585266e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 305 1.7512999475002289e-02</internalNodes>
-          <leafValues>
-            1.9067149609327316e-02 -4.1144749522209167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 306 1.1205240298295394e-04</internalNodes>
-          <leafValues>
-            -1.9769529998302460e-01 7.5256332755088806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 307 2.4711890518665314e-01</internalNodes>
-          <leafValues>
-            -8.4033057093620300e-02 1.7387530207633972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 308 9.2011861852370203e-05</internalNodes>
-          <leafValues>
-            -1.0857179760932922e-01 1.3808019459247589e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 309 -9.0258494019508362e-03</internalNodes>
-          <leafValues>
-            -4.7819659113883972e-01 3.2357428222894669e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 310 -3.6494661122560501e-02</internalNodes>
-          <leafValues>
-            1.1401130259037018e-01 -1.3022980093955994e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 311 -1.2746749818325043e-01</internalNodes>
-          <leafValues>
-            5.1732218265533447e-01 -2.9527239501476288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 312 -1.4561279676854610e-02</internalNodes>
-          <leafValues>
-            1.1064620316028595e-01 -1.4923259615898132e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 313 -1.3745570322498679e-04</internalNodes>
-          <leafValues>
-            5.8987621217966080e-02 -9.3671269714832306e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 314 1.0125709697604179e-02</internalNodes>
-          <leafValues>
-            -4.6942770481109619e-02 3.4779500961303711e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 315 -1.4763530343770981e-03</internalNodes>
-          <leafValues>
-            6.7057438194751740e-02 -1.5268740057945251e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 316 -5.1781561225652695e-02</internalNodes>
-          <leafValues>
-            3.2812559604644775e-01 -4.9428470432758331e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 317 -8.7604322470724583e-04</internalNodes>
-          <leafValues>
-            9.5243208110332489e-02 -4.9483429640531540e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 318 -2.2923199459910393e-02</internalNodes>
-          <leafValues>
-            -6.0710781812667847e-01 2.1902529522776604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 319 3.9328118873527274e-05</internalNodes>
-          <leafValues>
-            -7.6403297483921051e-02 9.5908410847187042e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 320 -2.6600218843668699e-03</internalNodes>
-          <leafValues>
-            2.4431939423084259e-01 -6.4098820090293884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 321 7.9669617116451263e-02</internalNodes>
-          <leafValues>
-            -1.1213810183107853e-02 1.5940660238265991e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 322 -2.8348390012979507e-02</internalNodes>
-          <leafValues>
-            1.5259909629821777e-01 -8.8062129914760590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 323 7.4440040625631809e-03</internalNodes>
-          <leafValues>
-            2.1669639274477959e-02 -4.0132689476013184e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 324 -1.1087640188634396e-02</internalNodes>
-          <leafValues>
-            -3.9004370570182800e-01 3.5446919500827789e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 325 1.4261420071125031e-01</internalNodes>
-          <leafValues>
-            -3.9467811584472656e-02 3.4237340092658997e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 326 1.0709280148148537e-02</internalNodes>
-          <leafValues>
-            3.9296310395002365e-02 -3.3758899569511414e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>116</maxWeakCount>
-      <stageThreshold>-1.6312040090560913e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 327 -4.9442949891090393e-01</internalNodes>
-          <leafValues>
-            4.4323670864105225e-01 -2.7319180965423584e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 328 -1.2554959952831268e-01</internalNodes>
-          <leafValues>
-            4.0862751007080078e-01 -2.2868640720844269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 329 -5.2924221381545067e-03</internalNodes>
-          <leafValues>
-            1.6534030437469482e-01 -4.3098509311676025e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 330 -1.0192809998989105e-01</internalNodes>
-          <leafValues>
-            2.6754850149154663e-01 -1.8038110435009003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 331 1.8004419803619385e+00</internalNodes>
-          <leafValues>
-            -2.1841609850525856e-02 -1.4260159912109375e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 332 1.0608100332319736e-02</internalNodes>
-          <leafValues>
-            -5.9960059821605682e-02 3.4709489345550537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 333 -1.6630759928375483e-03</internalNodes>
-          <leafValues>
-            2.8806871175765991e-01 -1.5445019304752350e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 334 -1.1193910177098587e-04</internalNodes>
-          <leafValues>
-            9.8864771425724030e-02 -1.1795780062675476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 335 -4.2859889566898346e-02</internalNodes>
-          <leafValues>
-            1.6759259998798370e-01 -2.1457959711551666e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 336 -9.3869988631922752e-05</internalNodes>
-          <leafValues>
-            9.6965126693248749e-02 -8.3837963640689850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 337 1.1530930176377296e-02</internalNodes>
-          <leafValues>
-            5.7559680193662643e-02 -5.2718931436538696e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 338 1.9106600433588028e-02</internalNodes>
-          <leafValues>
-            -4.5117460191249847e-02 3.8243150711059570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 339 1.7600689083337784e-02</internalNodes>
-          <leafValues>
-            -8.8198132812976837e-02 4.3440911173820496e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 340 -1.3769839890301228e-02</internalNodes>
-          <leafValues>
-            -4.3921610713005066e-01 2.8345840051770210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 341 -8.7673062807880342e-05</internalNodes>
-          <leafValues>
-            1.2015280127525330e-01 -2.9294851422309875e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 342 -7.6127682405058295e-05</internalNodes>
-          <leafValues>
-            1.5655809640884399e-01 -1.5530920028686523e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 343 8.4909036755561829e-02</internalNodes>
-          <leafValues>
-            -9.1236896812915802e-02 3.2453578710556030e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 344 -1.5367859974503517e-02</internalNodes>
-          <leafValues>
-            -2.9729259014129639e-01 4.7699470072984695e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 345 9.9366791546344757e-03</internalNodes>
-          <leafValues>
-            5.7912901043891907e-02 -5.0259292125701904e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 346 7.6439202530309558e-05</internalNodes>
-          <leafValues>
-            -9.9498890340328217e-02 1.3198280334472656e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 347 -8.2395068602636456e-05</internalNodes>
-          <leafValues>
-            1.7732089757919312e-01 -1.6241380572319031e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 348 1.5879699960350990e-02</internalNodes>
-          <leafValues>
-            -7.5514368712902069e-02 3.5822570323944092e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 349 -3.0790620949119329e-03</internalNodes>
-          <leafValues>
-            1.1570940166711807e-01 -2.1889360249042511e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 350 -1.4905449934303761e-02</internalNodes>
-          <leafValues>
-            -3.9039888978004456e-01 1.7254609614610672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 351 8.6873043328523636e-03</internalNodes>
-          <leafValues>
-            4.4716950505971909e-02 -4.9758139252662659e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 352 3.2028879970312119e-02</internalNodes>
-          <leafValues>
-            -8.2974523305892944e-02 2.8257378935813904e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 353 -3.1918611377477646e-02</internalNodes>
-          <leafValues>
-            3.5842159390449524e-01 -6.8592041730880737e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 354 -9.8993210121989250e-03</internalNodes>
-          <leafValues>
-            -4.5753958821296692e-01 4.3285790830850601e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 355 -9.1577637940645218e-03</internalNodes>
-          <leafValues>
-            3.2826730608940125e-01 -6.6698208451271057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 356 -1.0106399655342102e-02</internalNodes>
-          <leafValues>
-            9.1073133051395416e-02 -2.0907290279865265e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 357 -1.0402830317616463e-02</internalNodes>
-          <leafValues>
-            -4.8874959349632263e-01 3.8931101560592651e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 358 2.0562000572681427e-02</internalNodes>
-          <leafValues>
-            3.9995308965444565e-02 -4.7452241182327271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 359 -3.8352191448211670e-02</internalNodes>
-          <leafValues>
-            -4.7058039903640747e-01 3.7908799946308136e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 360 -6.9335498847067356e-03</internalNodes>
-          <leafValues>
-            2.4987019598484039e-01 -5.6883011013269424e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 361 -1.9851999357342720e-02</internalNodes>
-          <leafValues>
-            1.8991729617118835e-01 -1.1510910093784332e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 362 -9.5688046712893993e-05</internalNodes>
-          <leafValues>
-            1.3111490011215210e-01 -2.0739020407199860e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 363 -4.5679330825805664e-02</internalNodes>
-          <leafValues>
-            1.4726249873638153e-01 -1.2605570256710052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 364 -4.4255409389734268e-02</internalNodes>
-          <leafValues>
-            3.9286181330680847e-01 -5.6143738329410553e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 365 -7.7998407185077667e-02</internalNodes>
-          <leafValues>
-            1.7947210371494293e-01 -1.1833500117063522e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 366 8.4853731095790863e-03</internalNodes>
-          <leafValues>
-            2.5496419519186020e-02 -2.2068339586257935e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 367 -1.7047259956598282e-02</internalNodes>
-          <leafValues>
-            2.7297979593276978e-01 -7.0188298821449280e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 368 7.9200501204468310e-05</internalNodes>
-          <leafValues>
-            -6.7605443298816681e-02 7.1529977023601532e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 369 6.2673659995198250e-03</internalNodes>
-          <leafValues>
-            5.4571509361267090e-02 -3.6617699265480042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 370 7.8682642197236419e-05</internalNodes>
-          <leafValues>
-            -7.1166932582855225e-02 7.9210631549358368e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 371 -1.0391850082669407e-04</internalNodes>
-          <leafValues>
-            1.1487320065498352e-01 -2.0163500308990479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 372 3.4147119149565697e-03</internalNodes>
-          <leafValues>
-            4.0455348789691925e-02 -2.3108960688114166e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 373 8.3642201498150826e-03</internalNodes>
-          <leafValues>
-            -4.5927461236715317e-02 4.0529310703277588e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 374 3.6362249404191971e-02</internalNodes>
-          <leafValues>
-            7.8255804255604744e-03 -7.4479711055755615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 375 -4.0266428142786026e-02</internalNodes>
-          <leafValues>
-            -2.9234629869461060e-01 5.7985309511423111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 376 -3.6416169255971909e-02</internalNodes>
-          <leafValues>
-            -5.7923018932342529e-01 5.2343257702887058e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 377 1.4502329751849174e-02</internalNodes>
-          <leafValues>
-            3.7191450595855713e-02 -4.7790169715881348e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 378 7.1894600987434387e-02</internalNodes>
-          <leafValues>
-            1.3680050149559975e-02 -4.2053639888763428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 379 4.7077611088752747e-02</internalNodes>
-          <leafValues>
-            3.7311609834432602e-02 -4.4205638766288757e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 380 -2.0691620185971260e-02</internalNodes>
-          <leafValues>
-            9.2584423720836639e-02 -5.4656080901622772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 381 5.8702230453491211e-02</internalNodes>
-          <leafValues>
-            4.2894300073385239e-02 -3.9461919665336609e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 382 2.6266539469361305e-02</internalNodes>
-          <leafValues>
-            -1.6368310898542404e-02 4.1084641218185425e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 383 -6.7523908801376820e-03</internalNodes>
-          <leafValues>
-            1.4126999676227570e-01 -1.1122710257768631e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 384 -3.0624749138951302e-02</internalNodes>
-          <leafValues>
-            3.3001619577407837e-01 -2.4412149563431740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 385 -2.0111929625272751e-02</internalNodes>
-          <leafValues>
-            3.6708730459213257e-01 -4.4314250349998474e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 386 2.3419620469212532e-02</internalNodes>
-          <leafValues>
-            -3.7601488828659058e-01 4.3635338544845581e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 387 -3.6192089319229126e-03</internalNodes>
-          <leafValues>
-            2.9460039734840393e-01 -5.8415818959474564e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 388 -4.6485148370265961e-02</internalNodes>
-          <leafValues>
-            2.2718380391597748e-01 -7.9986602067947388e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 389 -2.7961090207099915e-02</internalNodes>
-          <leafValues>
-            -4.8854830861091614e-01 4.0761001408100128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 390 -8.8993441313505173e-03</internalNodes>
-          <leafValues>
-            -6.1056411266326904e-01 3.1436510384082794e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 391 -4.7756999731063843e-02</internalNodes>
-          <leafValues>
-            3.5695630311965942e-01 -4.7706581652164459e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 392 1.5203200280666351e-02</internalNodes>
-          <leafValues>
-            3.2397348433732986e-02 -5.1129198074340820e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 393 -2.6603629812598228e-02</internalNodes>
-          <leafValues>
-            -4.5528748631477356e-01 3.0705869197845459e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 394 -2.0662199240177870e-03</internalNodes>
-          <leafValues>
-            1.9821240007877350e-01 -5.1250338554382324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 395 6.8433540873229504e-03</internalNodes>
-          <leafValues>
-            4.2817000299692154e-02 -3.4796771407127380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 396 1.3943660305812955e-03</internalNodes>
-          <leafValues>
-            -7.6624289155006409e-02 1.7947790026664734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 397 -1.5453259402420372e-04</internalNodes>
-          <leafValues>
-            9.4035491347312927e-02 -1.5089119970798492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 398 -1.6063340008258820e-01</internalNodes>
-          <leafValues>
-            1.8896080553531647e-01 -7.5927153229713440e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 399 1.6323490440845490e-01</internalNodes>
-          <leafValues>
-            -3.5981848835945129e-02 3.8546431064605713e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 400 -2.1562659740447998e-01</internalNodes>
-          <leafValues>
-            -3.0063590407371521e-01 1.0327990166842937e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 401 -1.8259340897202492e-02</internalNodes>
-          <leafValues>
-            -3.5089141130447388e-01 3.8606669753789902e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 402 8.7421722128055990e-05</internalNodes>
-          <leafValues>
-            -8.4997348487377167e-02 8.9438356459140778e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 403 9.1984707978554070e-05</internalNodes>
-          <leafValues>
-            -1.2029039859771729e-01 1.2935799360275269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 404 -9.7184813057538122e-05</internalNodes>
-          <leafValues>
-            1.5226499736309052e-01 -1.0576970130205154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 405 -8.1813501310534775e-05</internalNodes>
-          <leafValues>
-            1.5129140019416809e-01 -1.0089760273694992e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 406 3.6952689290046692e-01</internalNodes>
-          <leafValues>
-            3.3503640443086624e-02 -4.0417960286140442e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 407 2.2105079144239426e-02</internalNodes>
-          <leafValues>
-            -2.1560800075531006e-01 6.4489699900150299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 408 1.3170000165700912e-02</internalNodes>
-          <leafValues>
-            3.2980829477310181e-02 -2.8448399901390076e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 409 1.3640720397233963e-02</internalNodes>
-          <leafValues>
-            -5.6598719209432602e-02 2.4039690196514130e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 410 1.2301489710807800e-02</internalNodes>
-          <leafValues>
-            1.9816080108284950e-02 -4.6144211292266846e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 411 -9.5483958721160889e-02</internalNodes>
-          <leafValues>
-            -3.4973609447479248e-01 3.5531830042600632e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 412 -1.0081489570438862e-02</internalNodes>
-          <leafValues>
-            -3.1359091401100159e-01 2.1178700029850006e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 413 8.1625310704112053e-03</internalNodes>
-          <leafValues>
-            3.2066490501165390e-02 -4.2840909957885742e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 414 5.9994839131832123e-02</internalNodes>
-          <leafValues>
-            4.8301668721251190e-04 -2.8568148612976074e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 415 -5.8298230171203613e-02</internalNodes>
-          <leafValues>
-            2.8866380453109741e-01 -4.5333638787269592e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 416 8.0641999375075102e-04</internalNodes>
-          <leafValues>
-            -2.7502080425620079e-02 5.5130850523710251e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 417 9.2612383014056832e-05</internalNodes>
-          <leafValues>
-            -9.0724922716617584e-02 1.6268420219421387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 418 -1.4031870290637016e-02</internalNodes>
-          <leafValues>
-            -1.7377139627933502e-01 2.7589490637183189e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 419 -2.1856749430298805e-02</internalNodes>
-          <leafValues>
-            1.1253879964351654e-01 -1.1328639835119247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 420 -4.2751420289278030e-02</internalNodes>
-          <leafValues>
-            -5.2992081642150879e-01 4.2229499667882919e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 421 -3.0375849455595016e-02</internalNodes>
-          <leafValues>
-            -7.1178191900253296e-01 1.7570890486240387e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 422 3.7499099969863892e-02</internalNodes>
-          <leafValues>
-            6.9999499246478081e-03 -3.7006160616874695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 423 1.1432570172473788e-03</internalNodes>
-          <leafValues>
-            -6.2220100313425064e-02 1.7703770101070404e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 424 -8.5832587501499802e-05</internalNodes>
-          <leafValues>
-            6.0030180960893631e-02 -5.1105540245771408e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 425 -9.4309507403522730e-05</internalNodes>
-          <leafValues>
-            1.0625579953193665e-01 -1.1291199922561646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 426 3.9328118873527274e-05</internalNodes>
-          <leafValues>
-            -6.4681328833103180e-02 7.1846023201942444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 427 1.8130460754036903e-02</internalNodes>
-          <leafValues>
-            3.4265581518411636e-02 -3.6213138699531555e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 428 -3.4514781087636948e-02</internalNodes>
-          <leafValues>
-            3.1022149324417114e-01 -4.1098561137914658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 429 2.7974370867013931e-02</internalNodes>
-          <leafValues>
-            -3.9424188435077667e-02 3.0851641297340393e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 430 -2.8201080858707428e-02</internalNodes>
-          <leafValues>
-            1.1525700241327286e-01 -7.4511423707008362e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 431 -3.0379800125956535e-02</internalNodes>
-          <leafValues>
-            -5.2470958232879639e-01 2.6152899488806725e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 432 -3.2038960605859756e-02</internalNodes>
-          <leafValues>
-            1.9343900680541992e-01 -6.1670139431953430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 433 1.1998290196061134e-02</internalNodes>
-          <leafValues>
-            -7.5464673340320587e-02 1.9255849719047546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 434 -3.5314068198204041e-02</internalNodes>
-          <leafValues>
-            -5.0705671310424805e-01 1.0585010051727295e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 435 -1.8655620515346527e-02</internalNodes>
-          <leafValues>
-            -3.6211800575256348e-01 3.6405950784683228e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 436 -2.8076169546693563e-03</internalNodes>
-          <leafValues>
-            5.3241610527038574e-02 -6.1510920524597168e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 437 6.1249658465385437e-02</internalNodes>
-          <leafValues>
-            -4.6230819076299667e-02 2.6103648543357849e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 438 3.8007500115782022e-03</internalNodes>
-          <leafValues>
-            -3.3608149737119675e-02 6.3185527920722961e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 439 -6.8106069229543209e-03</internalNodes>
-          <leafValues>
-            1.3896889984607697e-01 -9.1367863118648529e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 440 -1.4018400106579065e-03</internalNodes>
-          <leafValues>
-            5.0228320062160492e-02 -6.7810513079166412e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 441 4.1776038706302643e-03</internalNodes>
-          <leafValues>
-            3.1617678701877594e-02 -3.8861921429634094e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 442 -3.3317681401968002e-02</internalNodes>
-          <leafValues>
-            1.5129630267620087e-01 -8.0862723290920258e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>126</maxWeakCount>
-      <stageThreshold>-1.5601739883422852e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 443 -1.7488760873675346e-02</internalNodes>
-          <leafValues>
-            3.2901680469512939e-01 -2.5890278816223145e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 444 -7.6176282018423080e-03</internalNodes>
-          <leafValues>
-            7.1541152894496918e-02 -2.3951459676027298e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 445 2.7712950110435486e-01</internalNodes>
-          <leafValues>
-            -3.4845480322837830e-01 1.8256700038909912e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 446 -6.2221560627222061e-02</internalNodes>
-          <leafValues>
-            1.0674960166215897e-01 -1.4201539754867554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 447 -2.7581760659813881e-03</internalNodes>
-          <leafValues>
-            2.0689900219440460e-01 -3.4231829643249512e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 448 2.4392189458012581e-02</internalNodes>
-          <leafValues>
-            -1.8963119387626648e-01 2.5946459174156189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 449 -4.5020319521427155e-03</internalNodes>
-          <leafValues>
-            4.0866190195083618e-01 -1.1621879786252975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 450 -3.3270670101046562e-03</internalNodes>
-          <leafValues>
-            2.8641051054000854e-01 -7.0059493184089661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 451 3.1234470661729574e-03</internalNodes>
-          <leafValues>
-            -3.1795001029968262e-01 1.1268649995326996e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 452 4.7244699671864510e-03</internalNodes>
-          <leafValues>
-            -7.4922777712345123e-02 3.2988309860229492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 453 -5.5989590473473072e-03</internalNodes>
-          <leafValues>
-            1.4106449484825134e-01 -2.1870850026607513e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 454 -1.3673740439116955e-02</internalNodes>
-          <leafValues>
-            -2.9188311100006104e-01 5.1885809749364853e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 455 -1.5710070729255676e-02</internalNodes>
-          <leafValues>
-            -4.7450101375579834e-01 7.2411507368087769e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 456 -6.2331659719347954e-03</internalNodes>
-          <leafValues>
-            1.5145640075206757e-01 -4.7863069921731949e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 457 -5.9798290021717548e-03</internalNodes>
-          <leafValues>
-            3.0300670862197876e-01 -1.0020550340414047e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 458 -1.9614109769463539e-02</internalNodes>
-          <leafValues>
-            2.3906539380550385e-01 -1.2380470335483551e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 459 -9.7658529877662659e-02</internalNodes>
-          <leafValues>
-            3.3550170063972473e-01 -8.4931187331676483e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 460 5.5993441492319107e-02</internalNodes>
-          <leafValues>
-            -1.5721499919891357e-02 4.0024089813232422e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 461 -9.7235292196273804e-03</internalNodes>
-          <leafValues>
-            2.1756379306316376e-01 -1.1435779929161072e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 462 -1.4722860418260098e-02</internalNodes>
-          <leafValues>
-            -5.5747538805007935e-01 3.6078389734029770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 463 2.5517370551824570e-02</internalNodes>
-          <leafValues>
-            -8.2256257534027100e-02 3.1335538625717163e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 464 1.3567660003900528e-02</internalNodes>
-          <leafValues>
-            2.3133050650358200e-02 -4.1297689080238342e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 465 -1.7204899340867996e-02</internalNodes>
-          <leafValues>
-            -4.4162181019783020e-01 5.2605498582124710e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 466 3.4919459372758865e-02</internalNodes>
-          <leafValues>
-            1.4397609978914261e-02 -3.9569649100303650e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 467 -1.7781810835003853e-02</internalNodes>
-          <leafValues>
-            -5.8534961938858032e-01 3.7046588957309723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 468 6.0122098773717880e-02</internalNodes>
-          <leafValues>
-            1.4435539953410625e-02 -3.3743178844451904e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 469 -5.4228208027780056e-03</internalNodes>
-          <leafValues>
-            2.5677248835563660e-01 -7.9253107309341431e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 470 -1.2484540231525898e-02</internalNodes>
-          <leafValues>
-            1.1836159974336624e-01 -8.1720106303691864e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 471 -1.6004320234060287e-02</internalNodes>
-          <leafValues>
-            1.6762499511241913e-01 -1.4247520267963409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 472 1.8744349479675293e-02</internalNodes>
-          <leafValues>
-            -7.5924798846244812e-02 2.7398949861526489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 473 1.1467009782791138e-02</internalNodes>
-          <leafValues>
-            5.8074008673429489e-02 -3.7608700990676880e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 474 2.0451270043849945e-01</internalNodes>
-          <leafValues>
-            -5.2543081343173981e-02 5.0651127099990845e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 475 -1.5374840237200260e-02</internalNodes>
-          <leafValues>
-            2.8505790233612061e-01 -8.5190899670124054e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 476 8.3877835422754288e-03</internalNodes>
-          <leafValues>
-            5.0722919404506683e-02 -2.4024839699268341e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 477 1.9463960081338882e-02</internalNodes>
-          <leafValues>
-            4.7701448202133179e-02 -4.0168151259422302e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 478 -9.6702417067717761e-05</internalNodes>
-          <leafValues>
-            8.0057263374328613e-02 -1.0148379951715469e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 479 -2.8271209448575974e-02</internalNodes>
-          <leafValues>
-            -6.6573107242584229e-01 2.7066949754953384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 480 4.0985859930515289e-02</internalNodes>
-          <leafValues>
-            2.3980900645256042e-02 -2.8985351324081421e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 481 -2.4697459302842617e-03</internalNodes>
-          <leafValues>
-            9.0631358325481415e-02 -2.1575699746608734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 482 -3.6953210830688477e-02</internalNodes>
-          <leafValues>
-            -6.1706972122192383e-01 2.4969769641757011e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 483 -1.4313410036265850e-02</internalNodes>
-          <leafValues>
-            -4.3720778822898865e-01 3.4561868757009506e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 484 1.5469809994101524e-02</internalNodes>
-          <leafValues>
-            -5.5725499987602234e-02 2.9458519816398621e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 485 1.5401760116219521e-02</internalNodes>
-          <leafValues>
-            -1.2555029988288879e-01 1.7011690139770508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 486 2.0449940115213394e-02</internalNodes>
-          <leafValues>
-            1.3330750167369843e-02 -3.5554531216621399e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 487 -1.1459179950179532e-04</internalNodes>
-          <leafValues>
-            1.0097809880971909e-01 -1.7902599275112152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 488 2.1345940232276917e-01</internalNodes>
-          <leafValues>
-            -6.0278929769992828e-02 2.4713979661464691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 489 -7.6341837644577026e-02</internalNodes>
-          <leafValues>
-            1.0174889862537384e-01 -1.7403389513492584e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 490 -2.7297199703752995e-03</internalNodes>
-          <leafValues>
-            7.9033032059669495e-02 -4.8074871301651001e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 491 -3.9923721924424171e-03</internalNodes>
-          <leafValues>
-            1.9130119681358337e-01 -8.8253356516361237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 492 8.8855503126978874e-03</internalNodes>
-          <leafValues>
-            -7.5035899877548218e-02 2.4043780565261841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 493 -9.9884327501058578e-03</internalNodes>
-          <leafValues>
-            1.9008040428161621e-01 -1.0136889666318893e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 494 -2.7102470397949219e-02</internalNodes>
-          <leafValues>
-            -5.5960011482238770e-01 8.8603552430868149e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 495 1.0957789607346058e-02</internalNodes>
-          <leafValues>
-            4.1825290769338608e-02 -4.5446240901947021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 496 -1.7460700124502182e-02</internalNodes>
-          <leafValues>
-            -2.3399209976196289e-01 1.6339760273694992e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 497 -1.9853349775075912e-02</internalNodes>
-          <leafValues>
-            -4.8932269215583801e-01 3.2708961516618729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 498 -6.1350357718765736e-03</internalNodes>
-          <leafValues>
-            -5.1191371679306030e-01 2.7723550796508789e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 499 -4.8992279917001724e-02</internalNodes>
-          <leafValues>
-            -3.6576160788536072e-01 4.0420729666948318e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 500 -3.3459690213203430e-01</internalNodes>
-          <leafValues>
-            -5.9153968095779419e-01 2.1460810676217079e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 501 -2.8862519189715385e-02</internalNodes>
-          <leafValues>
-            -5.9815990924835205e-01 1.9781190901994705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 502 -1.1251099640503526e-03</internalNodes>
-          <leafValues>
-            2.0122319459915161e-01 -8.7745033204555511e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 503 -6.4093400724232197e-03</internalNodes>
-          <leafValues>
-            -6.1948382854461670e-01 2.3344030603766441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 504 1.1830270523205400e-03</internalNodes>
-          <leafValues>
-            -6.9342859089374542e-02 1.4039330184459686e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 505 -1.0599560337141156e-03</internalNodes>
-          <leafValues>
-            1.7260709404945374e-01 -8.1097446382045746e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 506 -8.5180420428514481e-03</internalNodes>
-          <leafValues>
-            -5.3051722049713135e-01 2.6180759072303772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 507 -2.3521099239587784e-02</internalNodes>
-          <leafValues>
-            2.5432139635086060e-01 -5.6951168924570084e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 508 7.3622940108180046e-03</internalNodes>
-          <leafValues>
-            3.0450310558080673e-02 -2.6797720789909363e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 509 -2.1439490839838982e-02</internalNodes>
-          <leafValues>
-            -3.3608379960060120e-01 4.3043609708547592e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 510 -1.1769459582865238e-02</internalNodes>
-          <leafValues>
-            1.0212860256433487e-01 -1.0810419917106628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 511 2.8588879853487015e-02</internalNodes>
-          <leafValues>
-            -6.0787688940763474e-02 3.1145519018173218e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 512 -1.1894520372152328e-02</internalNodes>
-          <leafValues>
-            -4.5586681365966797e-01 3.2649289816617966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 513 8.9476241555530578e-05</internalNodes>
-          <leafValues>
-            -1.7755030095577240e-01 7.9232156276702881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 514 1.0587619617581367e-02</internalNodes>
-          <leafValues>
-            -2.4411190301179886e-02 2.2775959968566895e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 515 -1.3677559792995453e-02</internalNodes>
-          <leafValues>
-            1.0863789916038513e-01 -1.2193650007247925e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 516 1.3244390487670898e-01</internalNodes>
-          <leafValues>
-            -3.3203829079866409e-02 4.5417618751525879e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 517 -3.4419998526573181e-02</internalNodes>
-          <leafValues>
-            -4.4876348972320557e-01 3.3680748194456100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 518 1.4392529614269733e-02</internalNodes>
-          <leafValues>
-            1.7250670120120049e-02 -2.8750520944595337e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 519 -1.5969440340995789e-02</internalNodes>
-          <leafValues>
-            -5.4419952630996704e-01 2.2490320727229118e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 520 1.7835280159488320e-03</internalNodes>
-          <leafValues>
-            2.8877379372715950e-02 -2.2269259393215179e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 521 -4.9637211486697197e-03</internalNodes>
-          <leafValues>
-            1.5367990732192993e-01 -8.0054156482219696e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 522 3.7779840640723705e-03</internalNodes>
-          <leafValues>
-            -4.9544081091880798e-02 8.9024871587753296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 523 7.8981714323163033e-03</internalNodes>
-          <leafValues>
-            -7.4866697192192078e-02 2.0431950688362122e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 524 -8.0553352832794189e-02</internalNodes>
-          <leafValues>
-            -5.6442260742187500e-01 9.1366795822978020e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 525 -3.0759580433368683e-02</internalNodes>
-          <leafValues>
-            -4.4340169429779053e-01 2.4137599393725395e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 526 -9.2535447329282761e-03</internalNodes>
-          <leafValues>
-            -5.6261157989501953e-01 9.2792203649878502e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 527 -1.2369129399303347e-04</internalNodes>
-          <leafValues>
-            1.0645399987697601e-01 -1.2000100314617157e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 528 3.2567538321018219e-02</internalNodes>
-          <leafValues>
-            -4.0003869682550430e-02 1.9980829954147339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 529 -1.1247079819440842e-02</internalNodes>
-          <leafValues>
-            1.8409490585327148e-01 -6.8117700517177582e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 530 -2.9179789125919342e-02</internalNodes>
-          <leafValues>
-            4.8721261322498322e-02 -4.7425370663404465e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 531 4.9517739564180374e-02</internalNodes>
-          <leafValues>
-            3.2707910984754562e-02 -3.8871440291404724e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 532 -7.7525358647108078e-03</internalNodes>
-          <leafValues>
-            -4.0735891461372375e-01 2.7974059805274010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 533 2.0060930401086807e-02</internalNodes>
-          <leafValues>
-            -7.0303089916706085e-02 1.7212529480457306e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 534 -6.1907349154353142e-03</internalNodes>
-          <leafValues>
-            2.6576110720634460e-01 -6.0436088591814041e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 535 -3.2592790666967630e-03</internalNodes>
-          <leafValues>
-            -4.4088658690452576e-01 2.9936179518699646e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 536 6.9727632217109203e-03</internalNodes>
-          <leafValues>
-            2.2902229800820351e-02 -3.0562791228294373e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 537 -3.1218219548463821e-02</internalNodes>
-          <leafValues>
-            1.3678680360317230e-01 -8.6494326591491699e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 538 -2.1239029243588448e-02</internalNodes>
-          <leafValues>
-            9.2500463128089905e-02 -1.4436760544776917e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 539 -1.1203570291399956e-02</internalNodes>
-          <leafValues>
-            1.7076200246810913e-01 -7.0275321602821350e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 540 -2.5859309360384941e-02</internalNodes>
-          <leafValues>
-            1.4182479679584503e-01 -3.3001139760017395e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 541 1.2670049909502268e-04</internalNodes>
-          <leafValues>
-            -1.3006690144538879e-01 9.2362843453884125e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 542 4.3577109463512897e-03</internalNodes>
-          <leafValues>
-            -3.5865459591150284e-02 4.4456228613853455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 543 2.7678349614143372e-01</internalNodes>
-          <leafValues>
-            1.2988999485969543e-01 -9.0131908655166626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 544 -2.5398649275302887e-02</internalNodes>
-          <leafValues>
-            -8.2552421092987061e-01 3.6853079218417406e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 545 -1.2352040037512779e-02</internalNodes>
-          <leafValues>
-            -5.6349527835845947e-01 1.8808899447321892e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 546 8.2362545654177666e-03</internalNodes>
-          <leafValues>
-            7.0837750099599361e-03 -5.5061972141265869e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 547 1.1910520261153579e-03</internalNodes>
-          <leafValues>
-            -7.4929133057594299e-02 1.6042159497737885e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 548 1.3469549594447017e-04</internalNodes>
-          <leafValues>
-            -5.1338870078325272e-02 5.3888119757175446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 549 -1.7835580511018634e-03</internalNodes>
-          <leafValues>
-            2.1617199480533600e-01 -5.3082071244716644e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 550 2.3661980405449867e-02</internalNodes>
-          <leafValues>
-            5.9997271746397018e-03 -6.8889677524566650e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 551 -9.9182292819023132e-02</internalNodes>
-          <leafValues>
-            3.4148588776588440e-01 -3.3521678298711777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 552 1.6663040220737457e-01</internalNodes>
-          <leafValues>
-            -8.2063250243663788e-02 1.5505069494247437e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 553 -3.2383298967033625e-03</internalNodes>
-          <leafValues>
-            9.4989769160747528e-02 -1.3713200390338898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 554 -4.0861237794160843e-03</internalNodes>
-          <leafValues>
-            -2.9612249135971069e-01 1.4876189641654491e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 555 -7.7778939157724380e-04</internalNodes>
-          <leafValues>
-            1.5173420310020447e-01 -7.8519538044929504e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 556 7.2721489705145359e-03</internalNodes>
-          <leafValues>
-            2.4271810427308083e-02 -4.9869158864021301e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 557 -1.1204819747945294e-04</internalNodes>
-          <leafValues>
-            1.0622479766607285e-01 -1.0977140069007874e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 558 -9.0798959136009216e-02</internalNodes>
-          <leafValues>
-            -2.7696010470390320e-01 1.6883529722690582e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 559 1.7063830047845840e-02</internalNodes>
-          <leafValues>
-            -9.4675257802009583e-02 1.5047849714756012e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 560 4.2208808660507202e-01</internalNodes>
-          <leafValues>
-            2.2498339414596558e-02 -4.6997109055519104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 561 8.2323037087917328e-02</internalNodes>
-          <leafValues>
-            -2.4581270292401314e-02 4.4949281215667725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 562 -1.3997350470162928e-04</internalNodes>
-          <leafValues>
-            1.0967099666595459e-01 -1.0202780365943909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 563 5.4491691291332245e-02</internalNodes>
-          <leafValues>
-            2.7186699211597443e-02 -3.5525378584861755e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 564 8.6169438436627388e-03</internalNodes>
-          <leafValues>
-            -2.3389210924506187e-02 8.4641262888908386e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 565 -2.6372019201517105e-02</internalNodes>
-          <leafValues>
-            -4.8046991229057312e-01 2.0224269479513168e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 566 -2.0510379690676928e-03</internalNodes>
-          <leafValues>
-            6.4058199524879456e-02 -5.3157251328229904e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 567 -2.8355750255286694e-03</internalNodes>
-          <leafValues>
-            1.0579310357570648e-01 -1.0183099657297134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 568 -3.5882219672203064e-03</internalNodes>
-          <leafValues>
-            4.1550219058990479e-02 -8.8538073003292084e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>113</maxWeakCount>
-      <stageThreshold>-1.5219190120697021e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 569 -2.9585899785161018e-02</internalNodes>
-          <leafValues>
-            2.3680339753627777e-01 -4.2841690778732300e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 570 4.3837837874889374e-03</internalNodes>
-          <leafValues>
-            -1.0966610163450241e-01 2.1417999267578125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 571 -3.3207288943231106e-03</internalNodes>
-          <leafValues>
-            2.0494979619979858e-01 -3.5999551415443420e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 572 -1.3062369823455811e-01</internalNodes>
-          <leafValues>
-            1.9599080085754395e-01 -5.5496081709861755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 573 -4.0074709802865982e-02</internalNodes>
-          <leafValues>
-            3.5060319304466248e-01 -1.4514569938182831e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 574 -9.1901496052742004e-03</internalNodes>
-          <leafValues>
-            1.9584690034389496e-01 -1.8307019770145416e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 575 3.1390838325023651e-02</internalNodes>
-          <leafValues>
-            -1.2538769841194153e-01 3.5840180516242981e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 576 -2.8154529631137848e-02</internalNodes>
-          <leafValues>
-            2.4045500159263611e-01 -1.0665749758481979e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 577 -3.1386429909616709e-03</internalNodes>
-          <leafValues>
-            1.0872109979391098e-01 -2.8648340702056885e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 578 3.7445150315761566e-02</internalNodes>
-          <leafValues>
-            -1.9261129200458527e-02 2.9213270545005798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 579 -2.3726930841803551e-02</internalNodes>
-          <leafValues>
-            2.1073000133037567e-01 -1.5662379562854767e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 580 -1.2667299597524107e-04</internalNodes>
-          <leafValues>
-            6.5764471888542175e-02 -8.8266886770725250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 581 -1.1386990081518888e-04</internalNodes>
-          <leafValues>
-            1.2571960687637329e-01 -2.5380450487136841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 582 1.7410060390830040e-02</internalNodes>
-          <leafValues>
-            2.1554760634899139e-02 -3.7880858778953552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 583 -2.0424669608473778e-02</internalNodes>
-          <leafValues>
-            -6.2727987766265869e-01 4.4566430151462555e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 584 -1.9522489979863167e-02</internalNodes>
-          <leafValues>
-            3.0573040246963501e-01 -7.4159696698188782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 585 -1.4893850684165955e-01</internalNodes>
-          <leafValues>
-            2.1615840494632721e-01 -1.3478299975395203e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 586 -1.8726779147982597e-02</internalNodes>
-          <leafValues>
-            -4.2101779580116272e-01 1.8423220142722130e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 587 1.1000379920005798e-02</internalNodes>
-          <leafValues>
-            4.8627670854330063e-02 -4.8832741379737854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 588 1.8614949658513069e-03</internalNodes>
-          <leafValues>
-            5.4186780005693436e-02 -4.0128099918365479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 589 -9.9544697150122374e-05</internalNodes>
-          <leafValues>
-            1.5979149937629700e-01 -1.5368139743804932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 590 -4.5718628913164139e-02</internalNodes>
-          <leafValues>
-            1.9089759886264801e-01 -6.7994199693202972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 591 1.9421679899096489e-02</internalNodes>
-          <leafValues>
-            -7.1206711232662201e-02 3.1886649131774902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 592 1.3375740672927350e-04</internalNodes>
-          <leafValues>
-            -1.9609630107879639e-01 9.8393999040126801e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 593 5.6271668523550034e-02</internalNodes>
-          <leafValues>
-            -7.0181913673877716e-02 2.9178839921951294e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 594 -9.5227472484111786e-03</internalNodes>
-          <leafValues>
-            1.2545530498027802e-01 -5.6728851050138474e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 595 -8.3248773589730263e-03</internalNodes>
-          <leafValues>
-            2.1773670613765717e-01 -9.0510971844196320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 596 -1.3861699961125851e-02</internalNodes>
-          <leafValues>
-            -5.0754171609878540e-01 3.4201409667730331e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 597 -1.7032949253916740e-02</internalNodes>
-          <leafValues>
-            -6.0418641567230225e-01 2.9236070811748505e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 598 1.8115249695256352e-03</internalNodes>
-          <leafValues>
-            5.3599029779434204e-02 -3.8502350449562073e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 599 -1.0465639934409410e-04</internalNodes>
-          <leafValues>
-            1.4829610288143158e-01 -1.3145260512828827e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 600 -4.5165838673710823e-03</internalNodes>
-          <leafValues>
-            1.6519570350646973e-01 -8.2269832491874695e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 601 -5.8911121450364590e-03</internalNodes>
-          <leafValues>
-            2.3836469650268555e-01 -9.6064627170562744e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 602 1.0750669753178954e-04</internalNodes>
-          <leafValues>
-            -1.0889690369367599e-01 8.3729512989521027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 603 -2.1406659856438637e-02</internalNodes>
-          <leafValues>
-            -5.7400590181350708e-01 3.4402690827846527e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 604 -3.3456799574196339e-03</internalNodes>
-          <leafValues>
-            1.7945970594882965e-01 -8.2998618483543396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 605 2.7489429339766502e-02</internalNodes>
-          <leafValues>
-            3.0824439600110054e-02 -5.8022832870483398e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 606 2.1110640373080969e-03</internalNodes>
-          <leafValues>
-            -6.6623561084270477e-02 1.1231890320777893e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 607 -1.0807989747263491e-04</internalNodes>
-          <leafValues>
-            8.9796923100948334e-02 -1.7956060171127319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 608 -1.1436110362410545e-02</internalNodes>
-          <leafValues>
-            -2.8840988874435425e-01 1.4820040203630924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 609 -1.1947689577937126e-02</internalNodes>
-          <leafValues>
-            -6.1322289705276489e-01 3.0310040339827538e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 610 -1.1076559894718230e-04</internalNodes>
-          <leafValues>
-            6.2256809324026108e-02 -6.6575892269611359e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 611 -3.4022140316665173e-03</internalNodes>
-          <leafValues>
-            2.0614670217037201e-01 -8.2437336444854736e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 612 -2.1814549341797829e-02</internalNodes>
-          <leafValues>
-            -5.2821779251098633e-01 1.9165750592947006e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 613 -5.7069370523095131e-03</internalNodes>
-          <leafValues>
-            1.6021859645843506e-01 -1.0214129835367203e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 614 -4.5757409185171127e-02</internalNodes>
-          <leafValues>
-            -5.9256380796432495e-01 1.5681680291891098e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 615 -6.1292409896850586e-02</internalNodes>
-          <leafValues>
-            -6.0241961479187012e-01 2.3671669885516167e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 616 -3.3792359754443169e-03</internalNodes>
-          <leafValues>
-            1.3549880683422089e-01 -1.1183329671621323e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 617 -1.3138949871063232e-02</internalNodes>
-          <leafValues>
-            2.5460991263389587e-01 -6.0035631060600281e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 618 1.3603650033473969e-02</internalNodes>
-          <leafValues>
-            -6.6929057240486145e-02 2.5394749641418457e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 619 3.9979619905352592e-03</internalNodes>
-          <leafValues>
-            4.5510061085224152e-02 -3.4562489390373230e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 620 7.2696888819336891e-03</internalNodes>
-          <leafValues>
-            1.4675630256533623e-02 -4.9067720770835876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 621 -1.9900960614904761e-04</internalNodes>
-          <leafValues>
-            9.5301151275634766e-02 -1.6552710533142090e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 622 -1.1526229977607727e-01</internalNodes>
-          <leafValues>
-            -1.9299569725990295e-01 2.6505190879106522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 623 1.5108739957213402e-02</internalNodes>
-          <leafValues>
-            -1.2415219843387604e-01 1.3125440478324890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 624 -3.7075690925121307e-02</internalNodes>
-          <leafValues>
-            2.3687429726123810e-01 -4.0280740708112717e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 625 -2.6980770751833916e-02</internalNodes>
-          <leafValues>
-            2.8977629542350769e-01 -5.6271400302648544e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 626 2.7761999517679214e-02</internalNodes>
-          <leafValues>
-            2.1243380382657051e-02 -3.1720191240310669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 627 -2.3027699440717697e-02</internalNodes>
-          <leafValues>
-            1.7699679732322693e-01 -8.7042309343814850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 628 5.4088570177555084e-02</internalNodes>
-          <leafValues>
-            -6.1808630824089050e-02 2.9303619265556335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 629 -5.8628612896427512e-04</internalNodes>
-          <leafValues>
-            8.5848852992057800e-02 -1.6957600414752960e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 630 -1.5223369933664799e-02</internalNodes>
-          <leafValues>
-            -3.7147569656372070e-01 1.1803089641034603e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 631 -1.1488939635455608e-02</internalNodes>
-          <leafValues>
-            -4.5097041130065918e-01 3.1614851206541061e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 632 2.0920310635119677e-03</internalNodes>
-          <leafValues>
-            -6.1659429222345352e-02 8.8506996631622314e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 633 -4.0617170743644238e-03</internalNodes>
-          <leafValues>
-            1.5518330037593842e-01 -9.1991297900676727e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 634 1.1135039676446468e-04</internalNodes>
-          <leafValues>
-            -8.7840989232063293e-02 1.0133089870214462e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 635 1.1977129906881601e-04</internalNodes>
-          <leafValues>
-            -1.1713469773530960e-01 1.2503969669342041e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 636 -3.2901849597692490e-02</internalNodes>
-          <leafValues>
-            9.3008488416671753e-02 -2.6525959372520447e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 637 -4.8292260617017746e-02</internalNodes>
-          <leafValues>
-            2.5879448652267456e-01 -5.9369418770074844e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 638 -5.4056089371442795e-02</internalNodes>
-          <leafValues>
-            1.0135240107774734e-01 -1.0452730208635330e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 639 9.4745680689811707e-03</internalNodes>
-          <leafValues>
-            3.4919779747724533e-02 -3.6243519186973572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 640 1.2838640250265598e-02</internalNodes>
-          <leafValues>
-            -3.3247381448745728e-02 8.1635028123855591e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 641 5.8513090014457703e-02</internalNodes>
-          <leafValues>
-            2.2172549739480019e-02 -6.3187897205352783e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 642 3.1740390695631504e-03</internalNodes>
-          <leafValues>
-            2.1843500435352325e-02 -4.1793620586395264e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 643 -8.3488157542888075e-05</internalNodes>
-          <leafValues>
-            1.3983680307865143e-01 -9.4738103449344635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 644 -2.4147950112819672e-01</internalNodes>
-          <leafValues>
-            -2.9803830385208130e-01 1.0715509764850140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 645 -1.5269799530506134e-01</internalNodes>
-          <leafValues>
-            2.1027280390262604e-01 -6.2791332602500916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 646 8.1526712165214121e-05</internalNodes>
-          <leafValues>
-            -1.2688499689102173e-01 1.4064699411392212e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 647 2.8918751049786806e-03</internalNodes>
-          <leafValues>
-            -5.3787451237440109e-02 2.5723600387573242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 648 1.0334750264883041e-01</internalNodes>
-          <leafValues>
-            -4.5310858637094498e-02 2.9249981045722961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 649 -4.4316049665212631e-02</internalNodes>
-          <leafValues>
-            2.2686310112476349e-01 -7.3259286582469940e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 650 1.0020990157499909e-04</internalNodes>
-          <leafValues>
-            -1.9540700316429138e-01 9.6934191882610321e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 651 -5.4574098438024521e-02</internalNodes>
-          <leafValues>
-            -4.8137459158897400e-01 2.4985810741782188e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 652 7.3195910081267357e-03</internalNodes>
-          <leafValues>
-            3.1002139672636986e-02 -2.7970591187477112e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 653 1.0135199874639511e-02</internalNodes>
-          <leafValues>
-            4.3817508965730667e-02 -2.9374900460243225e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 654 1.0032069985754788e-04</internalNodes>
-          <leafValues>
-            -7.1889169514179230e-02 5.5231738835573196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 655 -1.0669980198144913e-02</internalNodes>
-          <leafValues>
-            -5.4181689023971558e-01 2.2745499387383461e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 656 1.3994649634696543e-04</internalNodes>
-          <leafValues>
-            -1.7900389432907104e-01 5.5582638829946518e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 657 -1.9100980833172798e-02</internalNodes>
-          <leafValues>
-            2.1325789391994476e-01 -5.5573090910911560e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 658 -3.7138879299163818e-02</internalNodes>
-          <leafValues>
-            1.0222770273685455e-01 -1.3214519619941711e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 659 -3.0081560835242271e-02</internalNodes>
-          <leafValues>
-            -9.2211201786994934e-02 1.3682609796524048e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 660 8.4205687046051025e-02</internalNodes>
-          <leafValues>
-            -8.9014582335948944e-03 4.9819019436836243e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 661 5.4196681827306747e-02</internalNodes>
-          <leafValues>
-            -3.6897160112857819e-02 3.0469229817390442e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 662 -3.0808220617473125e-03</internalNodes>
-          <leafValues>
-            -2.1802039444446564e-01 2.5868140161037445e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 663 -3.8952209055423737e-02</internalNodes>
-          <leafValues>
-            -5.6945180892944336e-01 1.8307609483599663e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 664 -2.0182169973850250e-03</internalNodes>
-          <leafValues>
-            9.0408429503440857e-02 -3.9514921605587006e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 665 1.2030619836878031e-04</internalNodes>
-          <leafValues>
-            -8.8653340935707092e-02 1.2966379523277283e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 666 -3.4868849907070398e-03</internalNodes>
-          <leafValues>
-            -4.6177589893341064e-01 3.2781731337308884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 667 1.9827641081064939e-03</internalNodes>
-          <leafValues>
-            -5.7257439941167831e-02 2.0264209806919098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 668 -6.5655857324600220e-02</internalNodes>
-          <leafValues>
-            -6.0540872812271118e-01 9.3178926035761833e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 669 -6.7180477082729340e-02</internalNodes>
-          <leafValues>
-            -7.7103197574615479e-01 1.4232809655368328e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 670 -1.0016120359068736e-04</internalNodes>
-          <leafValues>
-            7.7105052769184113e-02 -7.5750999152660370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 671 1.0698969708755612e-04</internalNodes>
-          <leafValues>
-            -9.5489822328090668e-02 1.1988189816474915e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 672 -7.9930722713470459e-02</internalNodes>
-          <leafValues>
-            -1.6380259394645691e-01 1.3423699885606766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 673 -8.4473669528961182e-02</internalNodes>
-          <leafValues>
-            -4.8431029915809631e-01 2.2637430578470230e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 674 -1.2981670442968607e-04</internalNodes>
-          <leafValues>
-            8.6959727108478546e-02 -7.9428322613239288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 675 1.0976740159094334e-03</internalNodes>
-          <leafValues>
-            -7.1204371750354767e-02 1.7087329924106598e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 676 1.6371599631384015e-03</internalNodes>
-          <leafValues>
-            -5.5209361016750336e-02 6.0871999710798264e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 677 1.6619920730590820e-02</internalNodes>
-          <leafValues>
-            2.4160409346222878e-02 -4.5807400345802307e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 678 -4.8507770895957947e-01</internalNodes>
-          <leafValues>
-            -6.8080270290374756e-01 1.4013550244271755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 679 -2.2336160764098167e-03</internalNodes>
-          <leafValues>
-            9.1761179268360138e-02 -1.2991249561309814e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 680 -4.0087301284074783e-02</internalNodes>
-          <leafValues>
-            2.5663140416145325e-01 -5.2874509245157242e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 681 -2.0479310303926468e-02</internalNodes>
-          <leafValues>
-            1.3254520297050476e-01 -1.1415109783411026e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>165</maxWeakCount>
-      <stageThreshold>-1.5396820306777954e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 682 -3.0279869213700294e-02</internalNodes>
-          <leafValues>
-            2.6074808835983276e-01 -2.9911878705024719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 683 2.5544969365000725e-02</internalNodes>
-          <leafValues>
-            -7.6168537139892578e-02 1.4981770515441895e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 684 -3.0233090743422508e-02</internalNodes>
-          <leafValues>
-            1.9648909568786621e-01 -2.8406110405921936e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 685 -3.1364429742097855e-02</internalNodes>
-          <leafValues>
-            1.3312689960002899e-01 -6.8049967288970947e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 686 -6.6530257463455200e-02</internalNodes>
-          <leafValues>
-            2.3011529445648193e-01 -1.5324029326438904e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 687 -1.6842380166053772e-02</internalNodes>
-          <leafValues>
-            3.3064040541648865e-01 -1.0679270327091217e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 688 3.0633020401000977e-01</internalNodes>
-          <leafValues>
-            -5.1862299442291260e-03 -1.7709560546875000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 689 8.6503643542528152e-03</internalNodes>
-          <leafValues>
-            4.1600249707698822e-02 -3.9576560258865356e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 690 1.1161570250988007e-01</internalNodes>
-          <leafValues>
-            6.7927487194538116e-02 -4.8279160261154175e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 691 1.8374849110841751e-02</internalNodes>
-          <leafValues>
-            -1.4926449954509735e-01 1.6236560046672821e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 692 1.1767529940698296e-04</internalNodes>
-          <leafValues>
-            -2.5731500983238220e-01 8.8558197021484375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 693 4.1459160856902599e-03</internalNodes>
-          <leafValues>
-            -1.2687800452113152e-02 7.7366776764392853e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 694 1.9385030493140221e-02</internalNodes>
-          <leafValues>
-            3.8660649210214615e-02 -5.6522101163864136e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 695 -4.7151502221822739e-03</internalNodes>
-          <leafValues>
-            1.7933480441570282e-01 -1.0190699994564056e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 696 -6.3565477728843689e-02</internalNodes>
-          <leafValues>
-            3.7969771027565002e-01 -6.1266478151082993e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 697 -2.1264329552650452e-02</internalNodes>
-          <leafValues>
-            1.7494979500770569e-01 -6.1323810368776321e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 698 -1.5541970729827881e-01</internalNodes>
-          <leafValues>
-            3.7420210242271423e-01 -5.9625931084156036e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 699 -1.5928709506988525e-01</internalNodes>
-          <leafValues>
-            -2.0913429558277130e-01 9.9482368677854538e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 700 -4.8500150442123413e-02</internalNodes>
-          <leafValues>
-            2.0101189613342285e-01 -1.1658769845962524e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 701 2.7365760877728462e-02</internalNodes>
-          <leafValues>
-            1.7961660400032997e-02 -5.0528198480606079e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 702 1.3842820189893246e-02</internalNodes>
-          <leafValues>
-            4.5227438211441040e-02 -4.1571640968322754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 703 -7.3072552680969238e-02</internalNodes>
-          <leafValues>
-            -2.4777120351791382e-01 1.1063029989600182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 704 -3.2598939724266529e-03</internalNodes>
-          <leafValues>
-            8.0251343548297882e-02 -2.9581651091575623e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 705 2.5017689913511276e-02</internalNodes>
-          <leafValues>
-            1.9366070628166199e-02 -3.5857200622558594e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 706 1.6677830368280411e-02</internalNodes>
-          <leafValues>
-            4.1564568877220154e-02 -4.3558189272880554e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 707 -4.7600651159882545e-03</internalNodes>
-          <leafValues>
-            2.5715979933738708e-01 -1.0322690010070801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 708 -5.4333410225808620e-03</internalNodes>
-          <leafValues>
-            2.3189009726047516e-01 -8.1801012158393860e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 709 -3.3548839855939150e-03</internalNodes>
-          <leafValues>
-            1.9780829548835754e-01 -3.0241459608078003e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 710 1.1623079888522625e-02</internalNodes>
-          <leafValues>
-            3.4616850316524506e-02 -4.6493241190910339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 711 -3.2393898814916611e-02</internalNodes>
-          <leafValues>
-            1.1313209682703018e-01 -3.5140689462423325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 712 -4.8913709819316864e-02</internalNodes>
-          <leafValues>
-            4.8904749751091003e-01 -3.4122288227081299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 713 -1.8474429845809937e-02</internalNodes>
-          <leafValues>
-            2.6580730080604553e-01 -5.8163199573755264e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 714 5.4383978247642517e-02</internalNodes>
-          <leafValues>
-            -6.6510722041130066e-02 2.5590199232101440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 715 -9.6155777573585510e-03</internalNodes>
-          <leafValues>
-            2.1052959561347961e-01 -7.2851337492465973e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 716 -1.0688910260796547e-02</internalNodes>
-          <leafValues>
-            -5.1457118988037109e-01 3.7727449089288712e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 717 -9.2319631949067116e-03</internalNodes>
-          <leafValues>
-            -3.8744360208511353e-01 3.1080190092325211e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 718 -1.4203519560396671e-02</internalNodes>
-          <leafValues>
-            -5.2725839614868164e-01 2.8752619400620461e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 719 -1.1013289913535118e-02</internalNodes>
-          <leafValues>
-            1.8653820455074310e-01 -1.1610689759254456e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 720 -8.6668403819203377e-03</internalNodes>
-          <leafValues>
-            -3.8775750994682312e-01 3.8770258426666260e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 721 6.2698893249034882e-02</internalNodes>
-          <leafValues>
-            3.0983440577983856e-02 -3.3265390992164612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 722 -8.5753016173839569e-03</internalNodes>
-          <leafValues>
-            -5.7140302658081055e-01 2.5879889726638794e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 723 -4.7201640903949738e-02</internalNodes>
-          <leafValues>
-            -6.9058227539062500e-01 2.5752310175448656e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 724 -4.5456448569893837e-03</internalNodes>
-          <leafValues>
-            1.4207980036735535e-01 -1.0768160223960876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 725 6.5161921083927155e-03</internalNodes>
-          <leafValues>
-            -6.4744740724563599e-02 6.8756408989429474e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 726 5.9258960187435150e-02</internalNodes>
-          <leafValues>
-            3.5610690712928772e-02 -4.2347010970115662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 727 -1.0237420065095648e-04</internalNodes>
-          <leafValues>
-            8.9698426425457001e-02 -1.1640360206365585e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 728 -1.3284040323924273e-04</internalNodes>
-          <leafValues>
-            8.1888839602470398e-02 -1.6856490075588226e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 729 1.1395310139050707e-04</internalNodes>
-          <leafValues>
-            -6.6531307995319366e-02 6.2950029969215393e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 730 -7.9775685444474220e-03</internalNodes>
-          <leafValues>
-            -3.6961629986763000e-01 3.9622299373149872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 731 1.1280580423772335e-02</internalNodes>
-          <leafValues>
-            2.0512890070676804e-02 -3.2650449872016907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 732 -2.8830489609390497e-03</internalNodes>
-          <leafValues>
-            1.7990750074386597e-01 -8.9808806777000427e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 733 4.2662010528147221e-03</internalNodes>
-          <leafValues>
-            -4.1640471667051315e-02 3.2371160387992859e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 734 -1.3183150440454483e-04</internalNodes>
-          <leafValues>
-            1.3967730104923248e-01 -1.1727079749107361e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 735 -2.2476160898804665e-02</internalNodes>
-          <leafValues>
-            -6.2844127416610718e-01 2.9074009507894516e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 736 -1.4370390214025974e-02</internalNodes>
-          <leafValues>
-            1.5368999540805817e-01 -1.0520540177822113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 737 1.1654799891402945e-04</internalNodes>
-          <leafValues>
-            -8.3058603107929230e-02 9.2904143035411835e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 738 2.2677709348499775e-03</internalNodes>
-          <leafValues>
-            -7.2462536394596100e-02 2.1309800446033478e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 739 2.3946949839591980e-01</internalNodes>
-          <leafValues>
-            -5.9451188892126083e-02 2.3515209555625916e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 740 1.7877299338579178e-02</internalNodes>
-          <leafValues>
-            -1.1026129871606827e-01 1.4158380031585693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 741 -1.5361069701611996e-02</internalNodes>
-          <leafValues>
-            -4.9897781014442444e-01 2.3761089891195297e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 742 7.5403959490358829e-03</internalNodes>
-          <leafValues>
-            -8.1947498023509979e-02 1.4900860190391541e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 743 8.1448331475257874e-03</internalNodes>
-          <leafValues>
-            3.5342019051313400e-02 -3.7091499567031860e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 744 1.3363580219447613e-03</internalNodes>
-          <leafValues>
-            -7.6095156371593475e-02 1.6213759779930115e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 745 -1.2043320020893589e-04</internalNodes>
-          <leafValues>
-            9.0054206550121307e-02 -5.5159721523523331e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 746 -1.2009990314254537e-04</internalNodes>
-          <leafValues>
-            1.4145790040493011e-01 -9.4803117215633392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 747 1.0903520160354674e-04</internalNodes>
-          <leafValues>
-            -1.2242019921541214e-01 1.1741840094327927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 748 9.7870870376937091e-05</internalNodes>
-          <leafValues>
-            -1.2043909728527069e-01 1.1508560180664062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 749 -2.3091919720172882e-02</internalNodes>
-          <leafValues>
-            1.3310079276561737e-01 -9.9734462797641754e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 750 -3.9068670012056828e-03</internalNodes>
-          <leafValues>
-            2.4054819345474243e-01 -5.9338040649890900e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 751 -5.9686671011149883e-03</internalNodes>
-          <leafValues>
-            -4.9683380126953125e-01 2.9891790822148323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 752 -1.5916809439659119e-02</internalNodes>
-          <leafValues>
-            -3.4195870161056519e-01 3.1308840960264206e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 753 2.3104140534996986e-02</internalNodes>
-          <leafValues>
-            -3.6324020475149155e-02 3.5032561421394348e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 754 -1.1559560149908066e-01</internalNodes>
-          <leafValues>
-            1.4629890024662018e-01 -8.7614320218563080e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 755 3.3450409770011902e-02</internalNodes>
-          <leafValues>
-            2.4819390848278999e-02 -2.5611048936843872e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 756 -7.0857969112694263e-03</internalNodes>
-          <leafValues>
-            7.8206166625022888e-02 -1.5480500459671021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 757 -6.6877126693725586e-02</internalNodes>
-          <leafValues>
-            7.9394780099391937e-02 -1.6149780154228210e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 758 3.8874439895153046e-02</internalNodes>
-          <leafValues>
-            -6.1855491250753403e-02 2.0676539838314056e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 759 2.8544560074806213e-02</internalNodes>
-          <leafValues>
-            5.5605778470635414e-03 -3.8904601335525513e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 760 -5.5549708195030689e-03</internalNodes>
-          <leafValues>
-            1.6296879947185516e-01 -6.9366142153739929e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 761 -8.0097168684005737e-03</internalNodes>
-          <leafValues>
-            1.4130909740924835e-01 -4.7679040580987930e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 762 -5.1694051362574100e-03</internalNodes>
-          <leafValues>
-            2.1644559502601624e-01 -5.8431811630725861e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 763 5.8240639045834541e-03</internalNodes>
-          <leafValues>
-            3.4278281033039093e-02 -3.1473830342292786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 764 1.0263649892294779e-04</internalNodes>
-          <leafValues>
-            -1.5524019300937653e-01 9.1399282217025757e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 765 -1.2985959649085999e-02</internalNodes>
-          <leafValues>
-            -3.6545321345329285e-01 1.2820590287446976e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 766 8.9552644640207291e-03</internalNodes>
-          <leafValues>
-            2.9396979138255119e-02 -4.4281241297721863e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 767 1.8870230764150620e-02</internalNodes>
-          <leafValues>
-            2.0487939938902855e-02 -5.3079450130462646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 768 -4.4253231026232243e-03</internalNodes>
-          <leafValues>
-            1.6098490357398987e-01 -7.0962816476821899e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 769 -8.5866253357380629e-05</internalNodes>
-          <leafValues>
-            7.3070809245109558e-02 -7.1717053651809692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 770 1.0140320286154747e-02</internalNodes>
-          <leafValues>
-            3.5248361527919769e-02 -3.2715541124343872e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 771 2.2763259708881378e-01</internalNodes>
-          <leafValues>
-            -2.6924060657620430e-02 4.1793221235275269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 772 -8.8044107542373240e-05</internalNodes>
-          <leafValues>
-            9.1143772006034851e-02 -1.2312269955873489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 773 -1.0645220056176186e-02</internalNodes>
-          <leafValues>
-            -4.3658348917961121e-01 2.3624230176210403e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 774 4.6525610378012061e-04</internalNodes>
-          <leafValues>
-            -7.9812757670879364e-02 1.3412840664386749e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 775 -3.3041620627045631e-03</internalNodes>
-          <leafValues>
-            -3.8255479931831360e-01 1.6996940597891808e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 776 -1.0777499846881256e-04</internalNodes>
-          <leafValues>
-            1.6754819452762604e-01 -1.2961159646511078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 777 3.1904759816825390e-03</internalNodes>
-          <leafValues>
-            1.7584459856152534e-02 -3.3535620570182800e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 778 9.7345822723582387e-05</internalNodes>
-          <leafValues>
-            -1.2326420098543167e-01 1.4727219939231873e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 779 9.7421427199151367e-05</internalNodes>
-          <leafValues>
-            -6.0977838933467865e-02 7.9623550176620483e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 780 -7.4847228825092316e-04</internalNodes>
-          <leafValues>
-            1.0238070040941238e-01 -1.1906520277261734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 781 -1.5704490244388580e-02</internalNodes>
-          <leafValues>
-            9.3455828726291656e-02 -6.0468971729278564e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 782 -8.1626698374748230e-05</internalNodes>
-          <leafValues>
-            1.1332800239324570e-01 -8.8222980499267578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 783 -6.9608110934495926e-03</internalNodes>
-          <leafValues>
-            1.1039009690284729e-01 -4.0659449994564056e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 784 -4.4434489682316780e-03</internalNodes>
-          <leafValues>
-            1.2838089466094971e-01 -8.1361807882785797e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 785 -1.6160740051418543e-03</internalNodes>
-          <leafValues>
-            -3.3738899230957031e-01 3.5158511251211166e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 786 1.0108389687957242e-04</internalNodes>
-          <leafValues>
-            -1.2524829804897308e-01 7.9936161637306213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 787 9.9391723051667213e-04</internalNodes>
-          <leafValues>
-            -8.4492728114128113e-02 1.9661809504032135e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 788 -8.4912832826375961e-03</internalNodes>
-          <leafValues>
-            -2.9578000307083130e-01 4.2739611119031906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 789 9.5672323368489742e-05</internalNodes>
-          <leafValues>
-            -6.4625412225723267e-02 6.3440762460231781e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 790 1.1625020124483854e-04</internalNodes>
-          <leafValues>
-            -9.1274477541446686e-02 1.1936099827289581e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 791 -1.7826290568336844e-03</internalNodes>
-          <leafValues>
-            9.5706947147846222e-02 -8.4634251892566681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 792 -6.2756668776273727e-03</internalNodes>
-          <leafValues>
-            1.3744869828224182e-01 -9.1167822480201721e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 793 -8.2775605842471123e-03</internalNodes>
-          <leafValues>
-            -1.3923400640487671e-01 3.6440789699554443e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 794 3.0183959752321243e-03</internalNodes>
-          <leafValues>
-            -4.6180319041013718e-02 2.2055029869079590e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 795 1.7405690625309944e-02</internalNodes>
-          <leafValues>
-            8.9857252314686775e-03 -4.9438339471817017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 796 -1.2369710020720959e-04</internalNodes>
-          <leafValues>
-            6.2267590314149857e-02 -1.5967980027198792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 797 -5.8059301227331161e-03</internalNodes>
-          <leafValues>
-            4.9442801624536514e-02 -4.6539600938558578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 798 -1.0530239902436733e-02</internalNodes>
-          <leafValues>
-            -1.9742619991302490e-01 6.9146141409873962e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 799 -2.9337439686059952e-02</internalNodes>
-          <leafValues>
-            -6.4315217733383179e-01 4.9710599705576897e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 800 -5.6665588170289993e-02</internalNodes>
-          <leafValues>
-            -7.8389710187911987e-01 1.0764749720692635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 801 -5.8364521712064743e-02</internalNodes>
-          <leafValues>
-            -7.5414752960205078e-01 2.7036149986088276e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 802 -6.0695819556713104e-03</internalNodes>
-          <leafValues>
-            1.5555210411548615e-01 -6.3514240086078644e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 803 -4.9055949784815311e-03</internalNodes>
-          <leafValues>
-            1.5411140024662018e-01 -6.0024090111255646e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 804 -2.4349590763449669e-02</internalNodes>
-          <leafValues>
-            1.1066699773073196e-01 -8.9354656636714935e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 805 -2.0510459318757057e-02</internalNodes>
-          <leafValues>
-            -1.7066219449043274e-01 1.8875259906053543e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 806 -4.0406160056591034e-02</internalNodes>
-          <leafValues>
-            -5.1201337575912476e-01 1.8266160041093826e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 807 1.1639139614999294e-02</internalNodes>
-          <leafValues>
-            -2.6663990691304207e-02 1.5386949479579926e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 808 8.9536290615797043e-03</internalNodes>
-          <leafValues>
-            2.2930210456252098e-02 -4.0166389942169189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 809 2.2256279364228249e-02</internalNodes>
-          <leafValues>
-            -4.9168240278959274e-02 1.8879279494285583e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 810 -2.3009749129414558e-02</internalNodes>
-          <leafValues>
-            1.8750759959220886e-01 -6.2172628939151764e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 811 -1.1061690002679825e-01</internalNodes>
-          <leafValues>
-            -2.1010109782218933e-01 7.2418609634041786e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 812 -1.0646130144596100e-01</internalNodes>
-          <leafValues>
-            3.7617880105972290e-01 -2.4961100891232491e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 813 -3.5521229729056358e-03</internalNodes>
-          <leafValues>
-            1.1204829812049866e-01 -3.1895328313112259e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 814 -4.2262352071702480e-03</internalNodes>
-          <leafValues>
-            -3.7392550706863403e-01 2.4184040725231171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 815 6.2988628633320332e-03</internalNodes>
-          <leafValues>
-            8.1449449062347412e-03 -1.8559670448303223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 816 2.7100159786641598e-03</internalNodes>
-          <leafValues>
-            -4.7996520996093750e-02 2.3121020197868347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 817 3.3773749601095915e-03</internalNodes>
-          <leafValues>
-            -9.4845660030841827e-02 5.0685029476881027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 818 -2.8979899361729622e-03</internalNodes>
-          <leafValues>
-            1.2751890718936920e-01 -7.5084179639816284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 819 2.3524831049144268e-03</internalNodes>
-          <leafValues>
-            -4.1102841496467590e-02 5.9530649334192276e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 820 7.7729858458042145e-03</internalNodes>
-          <leafValues>
-            4.5494630932807922e-02 -2.1120029687881470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 821 -3.6903400905430317e-03</internalNodes>
-          <leafValues>
-            1.1549659818410873e-01 -4.9121920019388199e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 822 -9.3724876642227173e-03</internalNodes>
-          <leafValues>
-            -3.5917419195175171e-01 2.6274360716342926e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 823 -1.7983719590120018e-04</internalNodes>
-          <leafValues>
-            5.4064981639385223e-02 -5.1320828497409821e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 824 -5.0172610208392143e-03</internalNodes>
-          <leafValues>
-            1.3417109847068787e-01 -6.9252252578735352e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 825 1.0011839913204312e-04</internalNodes>
-          <leafValues>
-            -4.9067988991737366e-02 6.4117558300495148e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 826 8.1611080095171928e-03</internalNodes>
-          <leafValues>
-            2.4682909250259399e-02 -3.8521420955657959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 827 -9.0656030806712806e-05</internalNodes>
-          <leafValues>
-            9.8888702690601349e-02 -8.8233307003974915e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 828 -4.5008701272308826e-03</internalNodes>
-          <leafValues>
-            1.5800720453262329e-01 -5.7534229010343552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 829 1.9587080925703049e-02</internalNodes>
-          <leafValues>
-            -1.7980769276618958e-02 2.6230278611183167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 830 -2.9633310623466969e-03</internalNodes>
-          <leafValues>
-            8.2995072007179260e-02 -1.2231569737195969e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 831 1.0743290185928345e-02</internalNodes>
-          <leafValues>
-            1.2482419610023499e-02 -3.4274709224700928e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 832 -4.9855629913508892e-03</internalNodes>
-          <leafValues>
-            1.3816909492015839e-01 -6.4010940492153168e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 833 1.2566439807415009e-01</internalNodes>
-          <leafValues>
-            -1.7671900568529963e-03 1.0003019571304321e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 834 2.3738740012049675e-02</internalNodes>
-          <leafValues>
-            2.7755569666624069e-02 -3.6009928584098816e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 835 -1.4753870200365782e-03</internalNodes>
-          <leafValues>
-            1.5723270177841187e-01 -4.7080140560865402e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 836 -1.2558279559016228e-04</internalNodes>
-          <leafValues>
-            1.0315959900617599e-01 -8.4792517125606537e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 837 1.2353599595371634e-04</internalNodes>
-          <leafValues>
-            -1.0267879813909531e-01 1.0298290103673935e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 838 1.0993010364472866e-03</internalNodes>
-          <leafValues>
-            -7.2144910693168640e-02 1.6145619750022888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 839 -4.3352600932121277e-01</internalNodes>
-          <leafValues>
-            2.6333650946617126e-01 -3.7169009447097778e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 840 5.0879339687526226e-03</internalNodes>
-          <leafValues>
-            3.4845910966396332e-02 -3.0750349164009094e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 841 -1.3961529731750488e-01</internalNodes>
-          <leafValues>
-            1.0710100084543228e-01 -4.6853039413690567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 842 9.6808090806007385e-02</internalNodes>
-          <leafValues>
-            4.7895569354295731e-02 -2.0780010521411896e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 843 -3.8298558443784714e-02</internalNodes>
-          <leafValues>
-            3.2057020068168640e-01 -4.3165210634469986e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 844 1.0037220083177090e-02</internalNodes>
-          <leafValues>
-            3.0110519379377365e-02 -3.1479340791702271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 845 4.8312591388821602e-03</internalNodes>
-          <leafValues>
-            -5.7667169719934464e-02 1.4061050117015839e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 846 -2.1472699940204620e-02</internalNodes>
-          <leafValues>
-            1.5234650671482086e-01 -6.5562672913074493e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>211</maxWeakCount>
-      <stageThreshold>-1.4944460391998291e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 847 -2.2243140637874603e-01</internalNodes>
-          <leafValues>
-            2.2312499582767487e-01 -2.6396349072456360e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 848 3.2376810908317566e-02</internalNodes>
-          <leafValues>
-            -5.1940750330686569e-02 1.0894130170345306e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 849 -4.4717159122228622e-02</internalNodes>
-          <leafValues>
-            2.0623689889907837e-01 -2.3611530661582947e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 850 -3.2623540610074997e-02</internalNodes>
-          <leafValues>
-            2.7237409353256226e-01 -6.6274151206016541e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 851 -2.6925209909677505e-02</internalNodes>
-          <leafValues>
-            3.1263470649719238e-01 -1.2983320653438568e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 852 5.2859159186482430e-03</internalNodes>
-          <leafValues>
-            -1.9235099852085114e-01 1.6803570091724396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 853 2.2291530668735504e-01</internalNodes>
-          <leafValues>
-            -3.4413149952888489e-01 5.6544858962297440e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 854 -1.7159320414066315e-02</internalNodes>
-          <leafValues>
-            1.7324289679527283e-01 -5.5152550339698792e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 855 -9.4694783911108971e-03</internalNodes>
-          <leafValues>
-            1.8445380032062531e-01 -1.2914590537548065e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 856 -1.2710930313915014e-03</internalNodes>
-          <leafValues>
-            9.0124821290373802e-03 -2.7641639113426208e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 857 8.4737753495573997e-03</internalNodes>
-          <leafValues>
-            4.9679640680551529e-02 -4.6019071340560913e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 858 4.5989021658897400e-02</internalNodes>
-          <leafValues>
-            -1.0000479966402054e-01 2.3884369432926178e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 859 -1.0296510299667716e-04</internalNodes>
-          <leafValues>
-            9.8898597061634064e-02 -1.9507980346679688e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 860 -3.0870530754327774e-02</internalNodes>
-          <leafValues>
-            3.7806090712547302e-01 -5.2301649004220963e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 861 1.0105510242283344e-02</internalNodes>
-          <leafValues>
-            4.1510879993438721e-02 -4.5916628837585449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 862 -3.2147150486707687e-03</internalNodes>
-          <leafValues>
-            -2.8180390596389771e-01 6.4971752464771271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 863 9.1434055939316750e-03</internalNodes>
-          <leafValues>
-            -6.3290692865848541e-02 3.1076049804687500e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 864 1.3100530020892620e-02</internalNodes>
-          <leafValues>
-            3.1325671821832657e-02 -4.4022560119628906e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 865 -1.5001240186393261e-02</internalNodes>
-          <leafValues>
-            -3.3287960290908813e-01 4.4980511069297791e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 866 1.3146589696407318e-01</internalNodes>
-          <leafValues>
-            4.6440351754426956e-02 -3.9830890297889709e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 867 -7.5358957983553410e-03</internalNodes>
-          <leafValues>
-            -3.9559870958328247e-01 3.6384049803018570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 868 1.1706859804689884e-02</internalNodes>
-          <leafValues>
-            2.5723859667778015e-02 -3.8717350363731384e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 869 1.1505650356411934e-02</internalNodes>
-          <leafValues>
-            -6.2695182859897614e-02 2.3504909873008728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 870 3.8508679717779160e-02</internalNodes>
-          <leafValues>
-            1.3529039919376373e-02 -4.6797460317611694e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 871 1.3592040166258812e-02</internalNodes>
-          <leafValues>
-            4.7803930938243866e-02 -3.5141488909721375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 872 -1.9229929894208908e-02</internalNodes>
-          <leafValues>
-            1.7745910584926605e-01 -5.9988129884004593e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 873 -6.2505668029189110e-03</internalNodes>
-          <leafValues>
-            2.0134179294109344e-01 -8.1581160426139832e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 874 -1.8178259953856468e-02</internalNodes>
-          <leafValues>
-            5.4905299097299576e-02 -4.3673731386661530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 875 -5.6842509657144547e-02</internalNodes>
-          <leafValues>
-            1.4393079280853271e-01 -1.1943359673023224e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 876 -2.4953780695796013e-02</internalNodes>
-          <leafValues>
-            1.2545959651470184e-01 -6.5463587641716003e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 877 -2.6323249563574791e-02</internalNodes>
-          <leafValues>
-            2.2335560619831085e-01 -9.6750900149345398e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 878 -2.7933349832892418e-02</internalNodes>
-          <leafValues>
-            1.3253739476203918e-01 -1.2293589860200882e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 879 -1.2998450256418437e-04</internalNodes>
-          <leafValues>
-            7.1499042212963104e-02 -2.0235860347747803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 880 -9.2149457486812025e-05</internalNodes>
-          <leafValues>
-            5.9155948460102081e-02 -1.4431430399417877e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 881 -1.7388040199875832e-02</internalNodes>
-          <leafValues>
-            -3.3351859450340271e-01 3.9699219167232513e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 882 -8.6862171883694828e-05</internalNodes>
-          <leafValues>
-            5.7397030293941498e-02 -7.0616796612739563e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 883 8.9044791820924729e-05</internalNodes>
-          <leafValues>
-            -1.0670109838247299e-01 1.4415599405765533e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 884 9.6210632473230362e-03</internalNodes>
-          <leafValues>
-            2.9006609693169594e-02 -4.2044961452484131e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 885 -1.3927029795013368e-04</internalNodes>
-          <leafValues>
-            7.7079556882381439e-02 -1.6374519467353821e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 886 -3.0657060444355011e-02</internalNodes>
-          <leafValues>
-            -6.1427122354507446e-01 1.4103920198976994e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 887 -4.7086398117244244e-03</internalNodes>
-          <leafValues>
-            1.6230380535125732e-01 -8.8489651679992676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 888 1.0449769906699657e-02</internalNodes>
-          <leafValues>
-            2.0908510312438011e-02 -5.7801717519760132e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 889 -1.6580440104007721e-02</internalNodes>
-          <leafValues>
-            -3.2363709807395935e-01 3.6240901798009872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 890 -1.8138250336050987e-02</internalNodes>
-          <leafValues>
-            1.0105939954519272e-01 -1.7580989748239517e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 891 -7.6911728829145432e-03</internalNodes>
-          <leafValues>
-            1.4427539706230164e-01 -9.5350138843059540e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 892 -9.3184299767017365e-03</internalNodes>
-          <leafValues>
-            8.8270977139472961e-02 -1.1901699751615524e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 893 2.7095710858702660e-02</internalNodes>
-          <leafValues>
-            -6.6773496568202972e-02 2.2551900148391724e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 894 2.5444820057600737e-03</internalNodes>
-          <leafValues>
-            5.2423369139432907e-02 -1.5915879607200623e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 895 -5.9284839779138565e-02</internalNodes>
-          <leafValues>
-            2.7843329310417175e-01 -4.8978719860315323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 896 2.2457299754023552e-02</internalNodes>
-          <leafValues>
-            -6.6214859485626221e-02 1.9962659478187561e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 897 3.1462030019611120e-03</internalNodes>
-          <leafValues>
-            -1.8244290351867676e-01 8.5549309849739075e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 898 -7.0586092770099640e-02</internalNodes>
-          <leafValues>
-            -2.7667859196662903e-01 1.4894080348312855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 899 -8.0054822319652885e-05</internalNodes>
-          <leafValues>
-            1.0879600048065186e-01 -1.0610870271921158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 900 -3.0580060556530952e-02</internalNodes>
-          <leafValues>
-            1.0778079926967621e-01 -2.0585630089044571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 901 9.1068223118782043e-03</internalNodes>
-          <leafValues>
-            -4.5717220753431320e-02 3.2543709874153137e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 902 5.0897640176117420e-03</internalNodes>
-          <leafValues>
-            3.4051191061735153e-02 -3.5899510979652405e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 903 -5.0143159925937653e-02</internalNodes>
-          <leafValues>
-            3.1396710872650146e-01 -4.0979839861392975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 904 -1.0316399857401848e-02</internalNodes>
-          <leafValues>
-            -4.3923801183700562e-01 2.9322719201445580e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 905 -5.7999929413199425e-03</internalNodes>
-          <leafValues>
-            2.0461860299110413e-01 -5.8188889175653458e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 906 3.5368890967220068e-03</internalNodes>
-          <leafValues>
-            5.3520288318395615e-02 -2.1615199744701385e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 907 -2.6618309784680605e-03</internalNodes>
-          <leafValues>
-            -3.8629740476608276e-01 3.1471978873014450e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 908 3.1112500000745058e-03</internalNodes>
-          <leafValues>
-            -3.3582359552383423e-02 1.4472900331020355e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 909 -6.1837960965931416e-03</internalNodes>
-          <leafValues>
-            -3.9847150444984436e-01 2.6712730526924133e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 910 -9.6736097475513816e-05</internalNodes>
-          <leafValues>
-            9.6591942012310028e-02 -7.6616533100605011e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 911 9.8329477012157440e-02</internalNodes>
-          <leafValues>
-            4.3741971254348755e-02 -2.5856900215148926e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 912 2.0389869809150696e-02</internalNodes>
-          <leafValues>
-            -5.5230699479579926e-02 2.1881949901580811e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 913 -7.8190360218286514e-03</internalNodes>
-          <leafValues>
-            -3.0988308787345886e-01 3.4586869180202484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 914 -5.9094849973917007e-02</internalNodes>
-          <leafValues>
-            1.6294850409030914e-01 -6.3798002898693085e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 915 -2.4365609884262085e-01</internalNodes>
-          <leafValues>
-            1.7031520605087280e-01 -6.8715758621692657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 916 -3.0184438824653625e-01</internalNodes>
-          <leafValues>
-            -3.4642049670219421e-01 2.5085069239139557e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 917 -1.2000049464404583e-03</internalNodes>
-          <leafValues>
-            1.7887699604034424e-01 -6.0992758721113205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 918 -1.0535799711942673e-01</internalNodes>
-          <leafValues>
-            5.4462939500808716e-02 -6.4320951700210571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 919 -2.4108510464429855e-02</internalNodes>
-          <leafValues>
-            -4.7865489125251770e-01 2.0613849163055420e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 920 1.1989559978246689e-01</internalNodes>
-          <leafValues>
-            -1.3448059558868408e-02 4.8987388610839844e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 921 -2.5708250701427460e-02</internalNodes>
-          <leafValues>
-            1.3927629590034485e-01 -7.3621720075607300e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 922 -4.3719869852066040e-01</internalNodes>
-          <leafValues>
-            -7.3239421844482422e-01 4.4073038734495640e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 923 -7.9788602888584137e-02</internalNodes>
-          <leafValues>
-            1.0349279642105103e-01 -1.0366749763488770e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 924 -3.5169530659914017e-02</internalNodes>
-          <leafValues>
-            5.8486729860305786e-02 -4.2844671756029129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 925 -1.7630029469728470e-02</internalNodes>
-          <leafValues>
-            1.0138259828090668e-01 -1.0425739735364914e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 926 -8.3025526255369186e-03</internalNodes>
-          <leafValues>
-            -4.4066068530082703e-01 2.1682849153876305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 927 -8.2851955667138100e-03</internalNodes>
-          <leafValues>
-            -4.8541179299354553e-01 2.0918089896440506e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 928 7.9370345920324326e-03</internalNodes>
-          <leafValues>
-            5.9423311613500118e-03 -4.1828221082687378e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 929 -1.0507660044822842e-04</internalNodes>
-          <leafValues>
-            7.6169930398464203e-02 -1.4411410689353943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 930 -2.1757930517196655e-02</internalNodes>
-          <leafValues>
-            1.7152060568332672e-01 -2.9704490676522255e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 931 1.2922010384500027e-02</internalNodes>
-          <leafValues>
-            2.9204640537500381e-02 -3.2309919595718384e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 932 1.6168419271707535e-02</internalNodes>
-          <leafValues>
-            -7.6147191226482391e-02 2.6088440418243408e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 933 -1.5057939291000366e-01</internalNodes>
-          <leafValues>
-            1.4852869510650635e-01 -7.0202209055423737e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 934 -6.3427072763442993e-01</internalNodes>
-          <leafValues>
-            3.4904581308364868e-01 -2.9892899096012115e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 935 -1.1482870206236839e-02</internalNodes>
-          <leafValues>
-            1.5068680047988892e-01 -6.9276407361030579e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 936 -6.2928773462772369e-02</internalNodes>
-          <leafValues>
-            -5.9944522380828857e-01 6.5263039432466030e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 937 -2.7896769344806671e-02</internalNodes>
-          <leafValues>
-            3.1232240796089172e-01 -3.0732870101928711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 938 1.1286689899861813e-02</internalNodes>
-          <leafValues>
-            1.4317009598016739e-02 -2.2894239425659180e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 939 -3.8705959450453520e-03</internalNodes>
-          <leafValues>
-            8.5102573037147522e-02 -1.1673109978437424e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 940 -1.4275030232965946e-02</internalNodes>
-          <leafValues>
-            -2.0762340724468231e-01 1.8262609839439392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 941 -1.2816109694540501e-02</internalNodes>
-          <leafValues>
-            -2.8642359375953674e-01 3.5254720598459244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 942 4.9328650347888470e-03</internalNodes>
-          <leafValues>
-            -4.9868829548358917e-02 8.1233069300651550e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 943 -8.6533632129430771e-03</internalNodes>
-          <leafValues>
-            2.1703800559043884e-01 -4.6255528926849365e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 944 1.3576580211520195e-02</internalNodes>
-          <leafValues>
-            -1.0879430174827576e-01 8.3670340478420258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 945 -4.2641188949346542e-02</internalNodes>
-          <leafValues>
-            -4.9992290139198303e-01 1.9083680585026741e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 946 -3.7867110222578049e-02</internalNodes>
-          <leafValues>
-            -5.3069418668746948e-01 -2.1276540064718574e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 947 -1.1035409756004810e-02</internalNodes>
-          <leafValues>
-            2.2670739889144897e-01 -4.3859541416168213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 948 2.4298341013491154e-03</internalNodes>
-          <leafValues>
-            -3.4560989588499069e-02 1.5052950382232666e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 949 1.3272870332002640e-02</internalNodes>
-          <leafValues>
-            1.8622349947690964e-02 -4.7048270702362061e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 950 -1.1064320278819650e-04</internalNodes>
-          <leafValues>
-            9.6265792846679688e-02 -8.1750109791755676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 951 -2.3866009432822466e-03</internalNodes>
-          <leafValues>
-            1.8094350397586823e-01 -4.9262270331382751e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 952 -7.9415831714868546e-04</internalNodes>
-          <leafValues>
-            -1.6565640270709991e-01 2.4288009852170944e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 953 -2.2455830127000809e-02</internalNodes>
-          <leafValues>
-            1.9843299686908722e-01 -4.4509500265121460e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 954 3.0328119173645973e-03</internalNodes>
-          <leafValues>
-            2.7753420174121857e-02 -3.9394208788871765e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 955 -9.1960644349455833e-03</internalNodes>
-          <leafValues>
-            -5.9172922372817993e-01 1.2525149621069431e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 956 -3.9500650018453598e-02</internalNodes>
-          <leafValues>
-            -9.8541247844696045e-01 1.5248659765347838e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 957 1.2567999772727489e-02</internalNodes>
-          <leafValues>
-            2.0022910088300705e-02 -3.8397899270057678e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 958 -9.2911832325626165e-05</internalNodes>
-          <leafValues>
-            7.3141880333423615e-02 -6.7897647619247437e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 959 3.2143931835889816e-02</internalNodes>
-          <leafValues>
-            -6.4257197082042694e-02 1.3723790645599365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 960 -1.8411510391160846e-03</internalNodes>
-          <leafValues>
-            -2.6820561289787292e-01 4.4881530106067657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 961 -5.5849379859864712e-03</internalNodes>
-          <leafValues>
-            1.6651730239391327e-01 -5.5644121021032333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 962 1.2912580277770758e-03</internalNodes>
-          <leafValues>
-            6.2142610549926758e-02 -2.7014490962028503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 963 1.0070719872601330e-04</internalNodes>
-          <leafValues>
-            -8.8493198156356812e-02 1.0002399981021881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 964 -4.2259409092366695e-03</internalNodes>
-          <leafValues>
-            -3.2037448883056641e-01 1.2218790128827095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 965 -1.4590879436582327e-04</internalNodes>
-          <leafValues>
-            1.1364399641752243e-01 -9.4178639352321625e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 966 5.3230789490044117e-03</internalNodes>
-          <leafValues>
-            1.7175100743770599e-02 -2.2011129558086395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 967 -1.7821589484810829e-02</internalNodes>
-          <leafValues>
-            1.4161479473114014e-01 -6.1871610581874847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 968 -3.5818900913000107e-02</internalNodes>
-          <leafValues>
-            8.7859541177749634e-02 -3.8827799260616302e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 969 4.9706641584634781e-03</internalNodes>
-          <leafValues>
-            -1.7065429687500000e-01 5.0853051245212555e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 970 6.6589623689651489e-02</internalNodes>
-          <leafValues>
-            -2.3590439930558205e-02 3.6133819818496704e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 971 -3.2721939682960510e-01</internalNodes>
-          <leafValues>
-            -3.5842499136924744e-01 2.5435820221900940e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 972 -3.9326760917901993e-02</internalNodes>
-          <leafValues>
-            4.7284521162509918e-02 -6.2605947256088257e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 973 2.8017789125442505e-02</internalNodes>
-          <leafValues>
-            -3.3617768436670303e-02 2.7131238579750061e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 974 -1.2500650249421597e-02</internalNodes>
-          <leafValues>
-            -4.7937780618667603e-01 7.0343599654734135e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 975 5.7694758288562298e-03</internalNodes>
-          <leafValues>
-            3.1953860074281693e-02 -2.6032549142837524e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 976 -4.7707721590995789e-02</internalNodes>
-          <leafValues>
-            -4.9741709232330322e-01 1.3043950311839581e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 977 3.5443119704723358e-02</internalNodes>
-          <leafValues>
-            -3.1736850738525391e-02 3.1976988911628723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 978 1.4040179550647736e-02</internalNodes>
-          <leafValues>
-            -3.3049471676349640e-02 7.0506528019905090e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 979 2.3037919402122498e-01</internalNodes>
-          <leafValues>
-            1.8883729353547096e-02 -4.3587929010391235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 980 -9.6582166850566864e-02</internalNodes>
-          <leafValues>
-            -7.1832108497619629e-01 9.9819665774703026e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 981 -1.4366320334374905e-02</internalNodes>
-          <leafValues>
-            1.4567980170249939e-01 -6.5572626888751984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 982 -7.1069528348743916e-03</internalNodes>
-          <leafValues>
-            6.6373258829116821e-02 -2.0451290532946587e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 983 8.4905643016099930e-03</internalNodes>
-          <leafValues>
-            -6.3891783356666565e-02 1.5739880502223969e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 984 1.1191760003566742e-01</internalNodes>
-          <leafValues>
-            -2.8282059356570244e-02 2.9970058798789978e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 985 1.2471539957914501e-04</internalNodes>
-          <leafValues>
-            -8.4956198930740356e-02 9.8341517150402069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 986 -1.3551780022680759e-02</internalNodes>
-          <leafValues>
-            -3.5027718544006348e-01 1.1073109693825245e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 987 -1.2808430008590221e-02</internalNodes>
-          <leafValues>
-            -4.5078259706497192e-01 1.9789749756455421e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 988 -3.9998371154069901e-02</internalNodes>
-          <leafValues>
-            -6.8415868282318115e-01 2.3409149143844843e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 989 -1.4464680571109056e-03</internalNodes>
-          <leafValues>
-            1.4939129352569580e-01 -5.2095100283622742e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 990 -1.2429339811205864e-02</internalNodes>
-          <leafValues>
-            -1.5857979655265808e-01 8.9363977313041687e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 991 -2.9783550649881363e-02</internalNodes>
-          <leafValues>
-            -6.9471049308776855e-01 1.1115159839391708e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 992 -5.6329318322241306e-03</internalNodes>
-          <leafValues>
-            1.4112220704555511e-01 -5.2758459001779556e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 993 -6.5792538225650787e-03</internalNodes>
-          <leafValues>
-            -3.4625589847564697e-01 2.3270340636372566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 994 -9.0057790279388428e-02</internalNodes>
-          <leafValues>
-            7.5973026454448700e-02 -2.9642039909958839e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 995 -1.3072340190410614e-01</internalNodes>
-          <leafValues>
-            -3.2420840859413147e-01 2.7410000562667847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 996 9.8338117823004723e-03</internalNodes>
-          <leafValues>
-            -6.0853008180856705e-02 1.0065329819917679e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 997 -1.2233830057084560e-02</internalNodes>
-          <leafValues>
-            1.5252889692783356e-01 -5.2607860416173935e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 998 -2.3421589285135269e-02</internalNodes>
-          <leafValues>
-            1.0870900005102158e-01 -9.1985270380973816e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 999 -8.4613403305411339e-03</internalNodes>
-          <leafValues>
-            1.8257629871368408e-01 -4.7872170805931091e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1000 -5.2086021751165390e-03</internalNodes>
-          <leafValues>
-            -7.0401079952716827e-02 1.6041789203882217e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1001 -1.4447170309722424e-02</internalNodes>
-          <leafValues>
-            -4.1489130258560181e-01 1.9600320607423782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1002 -1.7468390287831426e-03</internalNodes>
-          <leafValues>
-            -1.9475990533828735e-01 3.0956840142607689e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1003 -2.9236089903861284e-03</internalNodes>
-          <leafValues>
-            1.6618309915065765e-01 -4.5732278376817703e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1004 -1.1378220515325665e-03</internalNodes>
-          <leafValues>
-            1.3497720658779144e-01 -5.7737439870834351e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1005 -2.2203589323908091e-03</internalNodes>
-          <leafValues>
-            9.6290342509746552e-02 -7.8362621366977692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1006 7.3363608680665493e-04</internalNodes>
-          <leafValues>
-            -8.0939002335071564e-02 1.6864289343357086e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1007 -1.0410290269646794e-04</internalNodes>
-          <leafValues>
-            9.7535729408264160e-02 -8.3381116390228271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1008 -2.9475050978362560e-03</internalNodes>
-          <leafValues>
-            -2.1080949902534485e-01 2.0222319290041924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1009 -8.3546721725724638e-05</internalNodes>
-          <leafValues>
-            7.0981398224830627e-02 -1.0542409867048264e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1010 -3.2032128423452377e-02</internalNodes>
-          <leafValues>
-            1.0082499682903290e-01 -3.6564670503139496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1011 -2.7375599741935730e-01</internalNodes>
-          <leafValues>
-            -4.7556069493293762e-01 1.6102559864521027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1012 1.1218780418857932e-03</internalNodes>
-          <leafValues>
-            2.7350509539246559e-02 -9.6968427300453186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1013 4.0910821408033371e-02</internalNodes>
-          <leafValues>
-            2.0444039255380630e-02 -3.8385981321334839e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1014 1.0185709834331647e-04</internalNodes>
-          <leafValues>
-            -6.2665432691574097e-02 8.6711652576923370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1015 8.8024331489577889e-05</internalNodes>
-          <leafValues>
-            -9.0517483651638031e-02 8.3377197384834290e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1016 -2.3895479738712311e-02</internalNodes>
-          <leafValues>
-            1.2739649415016174e-01 -8.3965286612510681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1017 2.2485909983515739e-02</internalNodes>
-          <leafValues>
-            -5.5055338889360428e-02 1.3913129270076752e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1018 4.1692931205034256e-02</internalNodes>
-          <leafValues>
-            -1.6963820904493332e-02 1.8453200161457062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1019 -2.6616320013999939e-02</internalNodes>
-          <leafValues>
-            1.5978839993476868e-01 -5.5901341140270233e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1020 -3.7673220038414001e-02</internalNodes>
-          <leafValues>
-            -5.6011748313903809e-01 7.0831510238349438e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1021 8.7794396677054465e-05</internalNodes>
-          <leafValues>
-            -8.2011356949806213e-02 9.4610482454299927e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1022 1.1703169438987970e-03</internalNodes>
-          <leafValues>
-            3.3138789236545563e-02 -1.2254939973354340e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1023 -1.8461579456925392e-02</internalNodes>
-          <leafValues>
-            1.1984329670667648e-01 -7.3555886745452881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1024 -4.9685002304613590e-03</internalNodes>
-          <leafValues>
-            1.5291570127010345e-01 -4.5049760490655899e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1025 9.4893397763371468e-03</internalNodes>
-          <leafValues>
-            3.8226161152124405e-02 -2.0697419345378876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1026 4.2636949568986893e-02</internalNodes>
-          <leafValues>
-            4.7441869974136353e-03 -2.4128800630569458e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1027 1.2260899879038334e-02</internalNodes>
-          <leafValues>
-            -5.2345231175422668e-02 1.5391710400581360e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1028 -3.6220869515091181e-03</internalNodes>
-          <leafValues>
-            -3.1135520339012146e-01 2.7554929256439209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1029 1.8543130136094987e-04</internalNodes>
-          <leafValues>
-            -1.3158130645751953e-01 5.8432999998331070e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1030 1.9817280117422342e-03</internalNodes>
-          <leafValues>
-            -1.5591939911246300e-02 7.9335182905197144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1031 3.0786939896643162e-03</internalNodes>
-          <leafValues>
-            -3.9832580834627151e-02 2.0168849825859070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1032 -4.9620792269706726e-03</internalNodes>
-          <leafValues>
-            4.3630041182041168e-02 -1.6167530789971352e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1033 1.0100869985762984e-04</internalNodes>
-          <leafValues>
-            -1.0894899815320969e-01 6.6285558044910431e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1034 4.5535610988736153e-03</internalNodes>
-          <leafValues>
-            -2.5678759440779686e-02 2.5574589148163795e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1035 1.8472580239176750e-02</internalNodes>
-          <leafValues>
-            4.5276731252670288e-02 -1.8895520269870758e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1036 -1.2821660493500531e-04</internalNodes>
-          <leafValues>
-            6.5693907439708710e-02 -6.1557758599519730e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1037 -9.1399750090204179e-05</internalNodes>
-          <leafValues>
-            9.4862386584281921e-02 -7.9766832292079926e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1038 1.9103009253740311e-02</internalNodes>
-          <leafValues>
-            -1.5823919326066971e-02 2.0067700743675232e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1039 3.2626159489154816e-02</internalNodes>
-          <leafValues>
-            1.1280800215899944e-02 -6.2056678533554077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1040 -3.7017529830336571e-03</internalNodes>
-          <leafValues>
-            6.2841519713401794e-02 -2.3586150258779526e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1041 -1.7747739329934120e-02</internalNodes>
-          <leafValues>
-            -5.6140452623367310e-01 1.2981880456209183e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1042 5.9074100106954575e-02</internalNodes>
-          <leafValues>
-            -3.3294579479843378e-03 8.4481179714202881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1043 -5.4828140884637833e-02</internalNodes>
-          <leafValues>
-            5.5514711141586304e-01 -1.1694990098476410e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1044 1.0296080290572718e-04</internalNodes>
-          <leafValues>
-            -4.5484889298677444e-02 5.8925010263919830e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1045 -9.7072806966025382e-05</internalNodes>
-          <leafValues>
-            9.6935607492923737e-02 -8.0250047147274017e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1046 5.8545041829347610e-03</internalNodes>
-          <leafValues>
-            1.4835690148174763e-02 -3.5753148794174194e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1047 1.6329690115526319e-03</internalNodes>
-          <leafValues>
-            -4.4237900525331497e-02 1.6755719482898712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1048 1.5812419354915619e-02</internalNodes>
-          <leafValues>
-            7.1729267947375774e-03 -7.8497059643268585e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1049 -4.3562431819736958e-03</internalNodes>
-          <leafValues>
-            2.5313070416450500e-01 -2.8974350541830063e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1050 3.5560280084609985e-02</internalNodes>
-          <leafValues>
-            1.7037480138242245e-03 -4.0621849894523621e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1051 1.0531170293688774e-02</internalNodes>
-          <leafValues>
-            2.9233150184154510e-02 -2.6782780885696411e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1052 3.1187709420919418e-02</internalNodes>
-          <leafValues>
-            4.4837938621640205e-03 -1.9009509682655334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1053 -2.3982839658856392e-02</internalNodes>
-          <leafValues>
-            -4.6067911386489868e-01 1.5553499571979046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1054 4.7000840306282043e-02</internalNodes>
-          <leafValues>
-            -1.8269939348101616e-02 8.1415437161922455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1055 2.6086059212684631e-01</internalNodes>
-          <leafValues>
-            -1.1339389719069004e-02 5.6355899572372437e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1056 -8.8318936526775360e-02</internalNodes>
-          <leafValues>
-            -7.1698242425918579e-01 5.8255391195416451e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1057 -3.1121359206736088e-03</internalNodes>
-          <leafValues>
-            5.7725358754396439e-02 -1.2493800371885300e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>209</maxWeakCount>
-      <stageThreshold>-1.5047789812088013e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1058 2.8087180107831955e-02</internalNodes>
-          <leafValues>
-            -1.5413700044155121e-01 4.5727699995040894e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1059 -5.5903568863868713e-02</internalNodes>
-          <leafValues>
-            3.6255109310150146e-01 -1.4866210520267487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1060 -5.3916401229798794e-03</internalNodes>
-          <leafValues>
-            1.1215359717607498e-01 -3.0657169222831726e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1061 -5.7490311563014984e-02</internalNodes>
-          <leafValues>
-            -3.7761840224266052e-01 6.6982932388782501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1062 3.3081531524658203e-02</internalNodes>
-          <leafValues>
-            8.9242622256278992e-02 -4.1101458668708801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1063 -3.3971451222896576e-02</internalNodes>
-          <leafValues>
-            1.7306150496006012e-01 -1.7985619604587555e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1064 6.0396149754524231e-02</internalNodes>
-          <leafValues>
-            -5.2139468491077423e-02 4.2019769549369812e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1065 -1.5026940032839775e-02</internalNodes>
-          <leafValues>
-            3.3774340152740479e-01 -9.3563601374626160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1066 1.1687699705362320e-02</internalNodes>
-          <leafValues>
-            8.5324212908744812e-02 -3.3287081122398376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1067 -4.4202590361237526e-03</internalNodes>
-          <leafValues>
-            3.0262300372123718e-01 -7.3225647211074829e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1068 9.8442351445555687e-03</internalNodes>
-          <leafValues>
-            6.7588306963443756e-02 -3.6280980706214905e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1069 6.5739490091800690e-03</internalNodes>
-          <leafValues>
-            -6.6520340740680695e-02 3.6753880977630615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1070 -1.2470779940485954e-02</internalNodes>
-          <leafValues>
-            1.3371619582176208e-01 -1.3606360554695129e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1071 -8.7947519205044955e-05</internalNodes>
-          <leafValues>
-            7.0185787975788116e-02 -7.1383133530616760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1072 -4.1784630157053471e-03</internalNodes>
-          <leafValues>
-            3.3897310495376587e-01 -6.0283429920673370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1073 -1.0158100165426731e-02</internalNodes>
-          <leafValues>
-            -4.3232920765876770e-01 2.9709020629525185e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1074 -2.5939870625734329e-02</internalNodes>
-          <leafValues>
-            2.9187950491905212e-01 -5.8434039354324341e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1075 1.6638180240988731e-02</internalNodes>
-          <leafValues>
-            -7.7353350818157196e-02 2.3780930042266846e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1076 1.4849379658699036e-03</internalNodes>
-          <leafValues>
-            8.9698158204555511e-02 -2.0726980268955231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1077 2.4323889985680580e-02</internalNodes>
-          <leafValues>
-            4.6134989708662033e-02 -2.3631970584392548e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1078 7.4536320753395557e-03</internalNodes>
-          <leafValues>
-            5.6870579719543457e-02 -2.9884359240531921e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1079 2.7136409655213356e-02</internalNodes>
-          <leafValues>
-            3.3143240958452225e-02 -2.6137140393257141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1080 -3.9215758442878723e-02</internalNodes>
-          <leafValues>
-            -4.2938810586929321e-01 3.9842639118432999e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1081 2.6724360883235931e-02</internalNodes>
-          <leafValues>
-            -1.0130269825458527e-01 1.5306079387664795e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1082 -7.7838180586695671e-03</internalNodes>
-          <leafValues>
-            -5.0431340932846069e-01 3.2204821705818176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1083 3.1347721815109253e-02</internalNodes>
-          <leafValues>
-            -5.2811268717050552e-02 3.2771229743957520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1084 5.1572020165622234e-03</internalNodes>
-          <leafValues>
-            3.9264280349016190e-02 -4.0240189433097839e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1085 1.9256999716162682e-02</internalNodes>
-          <leafValues>
-            3.3628650009632111e-02 -3.6241069436073303e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1086 1.7587229609489441e-02</internalNodes>
-          <leafValues>
-            -5.1554750651121140e-02 2.7599188685417175e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1087 -9.7410473972558975e-03</internalNodes>
-          <leafValues>
-            2.3560559749603271e-01 -6.0343839228153229e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1088 -1.1508379975566640e-04</internalNodes>
-          <leafValues>
-            6.9393739104270935e-02 -2.0505240559577942e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1089 -1.3304370641708374e-01</internalNodes>
-          <leafValues>
-            -3.9202588796615601e-01 3.1970690935850143e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1090 -4.7447659075260162e-02</internalNodes>
-          <leafValues>
-            -3.5722380876541138e-01 3.7217479199171066e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1091 -4.1948170401155949e-03</internalNodes>
-          <leafValues>
-            1.3637860119342804e-01 -6.9371573626995087e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1092 -3.9906660094857216e-03</internalNodes>
-          <leafValues>
-            1.4928449690341949e-01 -8.0571353435516357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1093 -8.4894258179701865e-05</internalNodes>
-          <leafValues>
-            8.8759668171405792e-02 -7.9379200935363770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1094 -4.1100149246631190e-05</internalNodes>
-          <leafValues>
-            1.2289889901876450e-01 -1.0322090238332748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1095 1.4727080240845680e-02</internalNodes>
-          <leafValues>
-            1.9744509831070900e-02 -3.6746519804000854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1096 -8.5327234119176865e-03</internalNodes>
-          <leafValues>
-            -3.6299398541450500e-01 3.1131930649280548e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1097 -1.6553919762372971e-02</internalNodes>
-          <leafValues>
-            1.0105790197849274e-01 -1.5329389274120331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1098 -1.2337979860603809e-02</internalNodes>
-          <leafValues>
-            -4.6292439103126526e-01 2.2736590355634689e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1099 -3.6450990010052919e-03</internalNodes>
-          <leafValues>
-            4.2629018425941467e-02 -1.3781179487705231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1100 1.2839140370488167e-02</internalNodes>
-          <leafValues>
-            -4.1048280894756317e-02 4.3761840462684631e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1101 -9.3080453574657440e-02</internalNodes>
-          <leafValues>
-            2.2917859256267548e-01 -5.0032921135425568e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1102 2.1762320771813393e-02</internalNodes>
-          <leafValues>
-            -5.0271000713109970e-02 2.2881449759006500e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1103 1.7361560836434364e-02</internalNodes>
-          <leafValues>
-            2.5310549885034561e-02 -2.6760739088058472e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1104 -1.3084709644317627e-02</internalNodes>
-          <leafValues>
-            -2.9774340987205505e-01 4.3805930763483047e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1105 -8.4787927335128188e-05</internalNodes>
-          <leafValues>
-            7.4056796729564667e-02 -1.1382059752941132e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1106 -5.2169840782880783e-03</internalNodes>
-          <leafValues>
-            1.2962180376052856e-01 -8.9122071862220764e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1107 5.5256679654121399e-02</internalNodes>
-          <leafValues>
-            -1.6715130209922791e-01 4.9011368304491043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1108 -1.0899559594690800e-02</internalNodes>
-          <leafValues>
-            1.7473630607128143e-01 -6.5568633377552032e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1109 1.4722730033099651e-02</internalNodes>
-          <leafValues>
-            2.1222619339823723e-02 -3.6853900551795959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1110 3.0714910477399826e-02</internalNodes>
-          <leafValues>
-            -4.7032870352268219e-02 2.2777770459651947e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1111 -6.8415720015764236e-03</internalNodes>
-          <leafValues>
-            -2.5939539074897766e-01 2.4496970698237419e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1112 1.7822159454226494e-02</internalNodes>
-          <leafValues>
-            -7.9186916351318359e-02 1.4894349873065948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1113 2.8468179516494274e-03</internalNodes>
-          <leafValues>
-            -3.7116099148988724e-02 1.6393619775772095e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1114 -1.3656679540872574e-02</internalNodes>
-          <leafValues>
-            -3.9892640709877014e-01 2.6514330878853798e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1115 -1.2483780086040497e-01</internalNodes>
-          <leafValues>
-            -3.8755100965499878e-01 8.9756725355982780e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1116 -4.3433021346572787e-05</internalNodes>
-          <leafValues>
-            1.1973830312490463e-01 -8.5467711091041565e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1117 -2.1456810645759106e-03</internalNodes>
-          <leafValues>
-            2.0692780613899231e-01 -5.0187058746814728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1118 -9.6643620054237545e-05</internalNodes>
-          <leafValues>
-            1.0034500062465668e-01 -1.1663100123405457e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1119 -4.7470871359109879e-03</internalNodes>
-          <leafValues>
-            -4.4494819641113281e-01 1.9583249464631081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1120 -2.2244181018322706e-03</internalNodes>
-          <leafValues>
-            1.9856449961662292e-01 -5.5820390582084656e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1121 3.7989660631865263e-03</internalNodes>
-          <leafValues>
-            3.6714699119329453e-02 -2.9941511154174805e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1122 -5.7312021963298321e-03</internalNodes>
-          <leafValues>
-            -5.2832037210464478e-01 1.8550330772995949e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1123 -2.5910209864377975e-02</internalNodes>
-          <leafValues>
-            2.8764611482620239e-01 -3.8489770144224167e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1124 -9.6947006881237030e-02</internalNodes>
-          <leafValues>
-            -5.9902548789978027e-01 1.8979549407958984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1125 -5.4922740906476974e-02</internalNodes>
-          <leafValues>
-            7.1482129395008087e-02 -1.0858479887247086e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1126 -2.7080800384283066e-02</internalNodes>
-          <leafValues>
-            1.8649069964885712e-01 -5.9568218886852264e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1127 5.0297360867261887e-03</internalNodes>
-          <leafValues>
-            3.3363129943609238e-02 -3.0831581354141235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1128 3.3542269375175238e-03</internalNodes>
-          <leafValues>
-            -5.4571229964494705e-02 2.2534120082855225e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1129 1.2667280388996005e-03</internalNodes>
-          <leafValues>
-            -1.7840330302715302e-01 3.4346438944339752e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1130 1.1339919641613960e-02</internalNodes>
-          <leafValues>
-            2.6406589895486832e-02 -3.8119348883628845e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1131 9.1608919319696724e-05</internalNodes>
-          <leafValues>
-            -1.0066139698028564e-01 8.7170496582984924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1132 7.8464552643708885e-05</internalNodes>
-          <leafValues>
-            -1.0216680169105530e-01 1.0109920054674149e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1133 7.5286210631020367e-05</internalNodes>
-          <leafValues>
-            -5.6061439216136932e-02 5.8424450457096100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1134 -2.6337830349802971e-03</internalNodes>
-          <leafValues>
-            1.7215870320796967e-01 -5.7880070060491562e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1135 6.3031561672687531e-02</internalNodes>
-          <leafValues>
-            -1.9201409071683884e-02 2.7799960970878601e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1136 -2.3219529539346695e-02</internalNodes>
-          <leafValues>
-            1.0284779965877533e-01 -9.8239988088607788e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1137 -9.0258438140153885e-03</internalNodes>
-          <leafValues>
-            2.2167690098285675e-02 -8.2948818802833557e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1138 3.8732189685106277e-02</internalNodes>
-          <leafValues>
-            -2.8826160356402397e-02 3.4773069620132446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1139 -4.7702491283416748e-02</internalNodes>
-          <leafValues>
-            -6.7103427648544312e-01 1.6573669388890266e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1140 -1.2847820296883583e-02</internalNodes>
-          <leafValues>
-            -3.8643950223922729e-01 2.0033469423651695e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1141 5.7381160557270050e-02</internalNodes>
-          <leafValues>
-            -1.1463870294392109e-02 2.6734361052513123e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1142 -1.0621190071105957e-02</internalNodes>
-          <leafValues>
-            -3.1218948960304260e-01 2.8248360380530357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1143 -1.3676609843969345e-02</internalNodes>
-          <leafValues>
-            -1.2689730525016785e-01 8.6436048150062561e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1144 4.3348008766770363e-03</internalNodes>
-          <leafValues>
-            5.1033958792686462e-02 -1.7394079267978668e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1145 7.5991630554199219e-02</internalNodes>
-          <leafValues>
-            -2.3328589275479317e-02 4.2845860123634338e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1146 1.3098600320518017e-02</internalNodes>
-          <leafValues>
-            -2.4747660383582115e-02 3.3785021305084229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1147 -3.5736020654439926e-02</internalNodes>
-          <leafValues>
-            3.7913449108600616e-02 -5.3559090942144394e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1148 1.0628229938447475e-04</internalNodes>
-          <leafValues>
-            -8.4522321820259094e-02 1.0640759766101837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1149 2.1813490893691778e-03</internalNodes>
-          <leafValues>
-            4.0383778512477875e-02 -1.9148570299148560e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1150 -9.4492107629776001e-02</internalNodes>
-          <leafValues>
-            2.0704220235347748e-01 -4.4048219919204712e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1151 -1.3529360294342041e-01</internalNodes>
-          <leafValues>
-            -2.6852059364318848e-01 5.2231121808290482e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1152 -1.2129560112953186e-01</internalNodes>
-          <leafValues>
-            9.0266220271587372e-02 -9.2542663216590881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1153 -2.3765969090163708e-03</internalNodes>
-          <leafValues>
-            8.2525849342346191e-02 -3.1835190951824188e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1154 1.2632180005311966e-02</internalNodes>
-          <leafValues>
-            -4.9935780465602875e-02 1.8270030617713928e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1155 3.7632249295711517e-03</internalNodes>
-          <leafValues>
-            1.4996149577200413e-02 -1.3626490533351898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1156 -4.1556770156603307e-05</internalNodes>
-          <leafValues>
-            7.4878826737403870e-02 -1.1227519810199738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1157 -6.9654630497097969e-03</internalNodes>
-          <leafValues>
-            1.6071209311485291e-01 -5.4801609367132187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1158 -4.2004981078207493e-03</internalNodes>
-          <leafValues>
-            -2.9972600936889648e-01 2.8893660753965378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1159 -1.9440690521150827e-03</internalNodes>
-          <leafValues>
-            1.2529659271240234e-01 -3.5508431494235992e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1160 -8.9434572146274149e-05</internalNodes>
-          <leafValues>
-            9.8911896347999573e-02 -8.5844233632087708e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1161 9.9513839813880622e-05</internalNodes>
-          <leafValues>
-            -4.1452258825302124e-02 5.4522711783647537e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1162 -8.9198641944676638e-05</internalNodes>
-          <leafValues>
-            7.3228873312473297e-02 -1.2978109717369080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1163 5.7081338018178940e-03</internalNodes>
-          <leafValues>
-            -7.0425257086753845e-02 1.4262980222702026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1164 -9.4857633113861084e-02</internalNodes>
-          <leafValues>
-            2.3310409486293793e-01 -3.7148199975490570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1165 2.8471320867538452e-02</internalNodes>
-          <leafValues>
-            -4.8538058996200562e-02 3.5143539309501648e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1166 4.1401110589504242e-02</internalNodes>
-          <leafValues>
-            -1.8223199993371964e-02 3.9729571342468262e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1167 -2.8941810131072998e-02</internalNodes>
-          <leafValues>
-            -2.2416530549526215e-01 1.4477049931883812e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1168 4.3586310930550098e-03</internalNodes>
-          <leafValues>
-            4.5635841786861420e-02 -1.8632480502128601e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1169 -7.3322281241416931e-02</internalNodes>
-          <leafValues>
-            -1.9238489866256714e-01 1.2455330230295658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1170 1.9518200308084488e-02</internalNodes>
-          <leafValues>
-            -2.0500229671597481e-02 4.1983589529991150e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1171 3.9780829101800919e-03</internalNodes>
-          <leafValues>
-            -4.5975688844919205e-02 1.0321869701147079e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1172 -9.7237170848529786e-05</internalNodes>
-          <leafValues>
-            1.0506830364465714e-01 -8.7533041834831238e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1173 8.7185493612196296e-05</internalNodes>
-          <leafValues>
-            -6.2952272593975067e-02 7.8699469566345215e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1174 2.6201619766652584e-03</internalNodes>
-          <leafValues>
-            2.9076900333166122e-02 -3.1879830360412598e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1175 6.8807557225227356e-02</internalNodes>
-          <leafValues>
-            -6.5168988658115268e-04 -7.2238290309906006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1176 -6.4465478062629700e-02</internalNodes>
-          <leafValues>
-            4.3315869569778442e-01 -2.1786129102110863e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1177 8.7852329015731812e-03</internalNodes>
-          <leafValues>
-            -5.7266969233751297e-02 7.7373459935188293e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1178 -1.5497979708015919e-02</internalNodes>
-          <leafValues>
-            1.7337580025196075e-01 -5.8008719235658646e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1179 -2.2943260148167610e-02</internalNodes>
-          <leafValues>
-            6.9100983440876007e-02 -4.1808031499385834e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1180 -8.2105891779065132e-03</internalNodes>
-          <leafValues>
-            -2.7963161468505859e-01 2.9525220394134521e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1181 -3.3475670963525772e-02</internalNodes>
-          <leafValues>
-            1.1038400232791901e-01 -3.3238198608160019e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1182 8.7814498692750931e-03</internalNodes>
-          <leafValues>
-            -8.9171886444091797e-02 8.7001636624336243e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1183 3.4709158539772034e-01</internalNodes>
-          <leafValues>
-            -4.8120681196451187e-02 1.8035539984703064e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1184 -1.0401030158391222e-04</internalNodes>
-          <leafValues>
-            9.4648033380508423e-02 -8.3219513297080994e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1185 -2.7705188840627670e-03</internalNodes>
-          <leafValues>
-            1.5773800015449524e-01 -2.5001129135489464e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1186 -8.6398613348137587e-05</internalNodes>
-          <leafValues>
-            7.1280792355537415e-02 -1.4600040018558502e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1187 -2.6759049296379089e-01</internalNodes>
-          <leafValues>
-            1.2558859586715698e-01 -3.8995288312435150e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1188 -2.4231130257248878e-02</internalNodes>
-          <leafValues>
-            8.8422782719135284e-02 -9.3978613615036011e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1189 1.0885329917073250e-02</internalNodes>
-          <leafValues>
-            -4.1272029280662537e-02 2.5976330041885376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1190 2.1032560616731644e-02</internalNodes>
-          <leafValues>
-            -4.3483361601829529e-02 1.8442779779434204e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1191 -4.2315269820392132e-03</internalNodes>
-          <leafValues>
-            1.2188120186328888e-01 -7.7749006450176239e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1192 -1.5873130410909653e-02</internalNodes>
-          <leafValues>
-            1.0431399941444397e-01 -8.4082178771495819e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1193 -1.9862418994307518e-03</internalNodes>
-          <leafValues>
-            3.7543788552284241e-02 -4.8584461212158203e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1194 7.8583601862192154e-05</internalNodes>
-          <leafValues>
-            -8.0581262707710266e-02 1.0911089926958084e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1195 2.9601699206978083e-03</internalNodes>
-          <leafValues>
-            2.4551110342144966e-02 -3.3558800816535950e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1196 -9.5016136765480042e-02</internalNodes>
-          <leafValues>
-            -5.9915632009506226e-01 1.1551329866051674e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1197 1.1362539953552186e-04</internalNodes>
-          <leafValues>
-            -8.6923167109489441e-02 9.3489281833171844e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1198 -9.8137762397527695e-03</internalNodes>
-          <leafValues>
-            7.6431483030319214e-02 -1.0938859730958939e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1199 9.8380893177818507e-05</internalNodes>
-          <leafValues>
-            -6.6263832151889801e-02 8.1618256866931915e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1200 2.2226599976420403e-03</internalNodes>
-          <leafValues>
-            3.1717978417873383e-02 -2.4636030197143555e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1201 2.3853180464357138e-03</internalNodes>
-          <leafValues>
-            -2.7855399996042252e-02 1.2080640345811844e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1202 -3.9457518607378006e-02</internalNodes>
-          <leafValues>
-            -3.5027569532394409e-01 2.1213570609688759e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1203 -7.9605240898672491e-05</internalNodes>
-          <leafValues>
-            8.8247403502464294e-02 -5.9798751026391983e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1204 -2.2772089578211308e-03</internalNodes>
-          <leafValues>
-            1.8961960077285767e-01 -3.7514250725507736e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1205 2.0586390048265457e-02</internalNodes>
-          <leafValues>
-            2.7481140568852425e-02 -8.0342061817646027e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1206 -7.4273057281970978e-02</internalNodes>
-          <leafValues>
-            -3.3686059713363647e-01 2.1948199719190598e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1207 1.8075270578265190e-02</internalNodes>
-          <leafValues>
-            -2.1912610158324242e-02 2.0319029688835144e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1208 -1.4953720383346081e-02</internalNodes>
-          <leafValues>
-            -2.6559591293334961e-01 2.6371410116553307e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1209 -4.8192208632826805e-03</internalNodes>
-          <leafValues>
-            1.6707129776477814e-01 -1.4215789735317230e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1210 3.6314369936008006e-05</internalNodes>
-          <leafValues>
-            -7.7198803424835205e-02 1.0186760127544403e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1211 -8.3623798564076424e-03</internalNodes>
-          <leafValues>
-            -1.6067409515380859e-01 1.5523280017077923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1212 2.3804600350558758e-03</internalNodes>
-          <leafValues>
-            5.8899540454149246e-02 -1.3108530640602112e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1213 1.6680910484865308e-03</internalNodes>
-          <leafValues>
-            3.0969940125942230e-02 -2.2598870098590851e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1214 1.5265520196408033e-03</internalNodes>
-          <leafValues>
-            -4.9240689724683762e-02 2.0791269838809967e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1215 1.4575149863958359e-02</internalNodes>
-          <leafValues>
-            -3.6837290972471237e-02 1.0154440253973007e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1216 -7.6943649910390377e-03</internalNodes>
-          <leafValues>
-            1.5710060298442841e-01 -5.7826489210128784e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1217 -9.0497516794130206e-05</internalNodes>
-          <leafValues>
-            4.7573201358318329e-02 -1.6521500051021576e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1218 -2.2794010117650032e-02</internalNodes>
-          <leafValues>
-            -2.5973218679428101e-01 2.6559799909591675e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1219 -9.0023465454578400e-03</internalNodes>
-          <leafValues>
-            4.1206229478120804e-02 -2.2416520863771439e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1220 6.7992340773344040e-03</internalNodes>
-          <leafValues>
-            -3.9371181279420853e-02 1.7100240290164948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1221 -4.3460330925881863e-03</internalNodes>
-          <leafValues>
-            6.0964401811361313e-02 -2.0817179232835770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1222 -3.7276789080351591e-03</internalNodes>
-          <leafValues>
-            1.2307090312242508e-01 -5.8938860893249512e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1223 -8.4070830780547112e-05</internalNodes>
-          <leafValues>
-            1.3861919939517975e-01 -8.2764759659767151e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1224 1.1763629736378789e-03</internalNodes>
-          <leafValues>
-            5.0358530133962631e-02 -1.5933729708194733e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1225 5.5893128737807274e-03</internalNodes>
-          <leafValues>
-            7.0979949086904526e-03 -5.8028382062911987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1226 -1.0127289715455845e-04</internalNodes>
-          <leafValues>
-            8.3265759050846100e-02 -8.2378573715686798e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1227 -2.4464890360832214e-02</internalNodes>
-          <leafValues>
-            -8.7221837043762207e-01 1.3292940566316247e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1228 -4.4401640479918569e-05</internalNodes>
-          <leafValues>
-            5.6002810597419739e-02 -1.5147769451141357e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1229 5.7037789374589920e-02</internalNodes>
-          <leafValues>
-            5.0832000561058521e-03 -1.1047369986772537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1230 2.0243139937520027e-02</internalNodes>
-          <leafValues>
-            -4.9084380269050598e-02 1.5443739295005798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1231 9.7376257181167603e-03</internalNodes>
-          <leafValues>
-            -1.9700789824128151e-02 5.2151169627904892e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1232 -1.5008449554443359e-02</internalNodes>
-          <leafValues>
-            1.4697140455245972e-01 -5.0271861255168915e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1233 -2.1046690642833710e-02</internalNodes>
-          <leafValues>
-            -3.6531120538711548e-01 1.7672160640358925e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1234 9.5258541405200958e-03</internalNodes>
-          <leafValues>
-            1.5648230910301208e-02 -4.0153148770332336e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1235 -2.2794330492615700e-02</internalNodes>
-          <leafValues>
-            2.9926788806915283e-01 -2.3447409272193909e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1236 -7.8630357980728149e-02</internalNodes>
-          <leafValues>
-            -6.5496569871902466e-01 1.0836719535291195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1237 9.5926318317651749e-03</internalNodes>
-          <leafValues>
-            1.5389059670269489e-02 -3.6421850323677063e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1238 -2.7699070051312447e-03</internalNodes>
-          <leafValues>
-            1.9490230083465576e-01 -3.2363388687372208e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1239 -1.1783170339185745e-04</internalNodes>
-          <leafValues>
-            6.4062900841236115e-02 -4.3425600975751877e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1240 -2.1889989729970694e-03</internalNodes>
-          <leafValues>
-            -2.6822608709335327e-01 2.5960480794310570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1241 -5.6854140013456345e-02</internalNodes>
-          <leafValues>
-            -6.9606697559356689e-01 5.1044360734522343e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1242 2.1522639691829681e-01</internalNodes>
-          <leafValues>
-            -1.1709770187735558e-02 5.6467902660369873e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1243 -2.0456990227103233e-02</internalNodes>
-          <leafValues>
-            3.6347669363021851e-01 -3.6606830544769764e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1244 7.7381962910294533e-05</internalNodes>
-          <leafValues>
-            -1.1122140288352966e-01 5.8982748538255692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1245 4.1361998766660690e-02</internalNodes>
-          <leafValues>
-            -5.1151089370250702e-02 3.9524771273136139e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1246 -9.8949691164307296e-05</internalNodes>
-          <leafValues>
-            1.0554169863462448e-01 -7.2439141571521759e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1247 1.8021840602159500e-02</internalNodes>
-          <leafValues>
-            1.4994920231401920e-02 -1.4176709949970245e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1248 8.2080148160457611e-02</internalNodes>
-          <leafValues>
-            2.3314690217375755e-02 -2.8175860643386841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1249 -1.0621119872666895e-04</internalNodes>
-          <leafValues>
-            6.2869526445865631e-02 -6.1158828437328339e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1250 -7.9379147791769356e-05</internalNodes>
-          <leafValues>
-            8.7550431489944458e-02 -8.2194067537784576e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1251 5.5925888009369373e-03</internalNodes>
-          <leafValues>
-            3.7611849606037140e-02 -1.9585789740085602e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1252 2.2940209601074457e-03</internalNodes>
-          <leafValues>
-            -4.4044021517038345e-02 1.6968269646167755e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1253 -4.0604019165039062e-01</internalNodes>
-          <leafValues>
-            1.7274110019207001e-01 -1.6850609332323074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1254 4.1022609919309616e-02</internalNodes>
-          <leafValues>
-            -4.5638781040906906e-02 1.5800049901008606e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1255 -1.4138690195977688e-02</internalNodes>
-          <leafValues>
-            6.5703168511390686e-02 -5.7085040956735611e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1256 6.9438129663467407e-02</internalNodes>
-          <leafValues>
-            2.2782269865274429e-02 -3.2717821002006531e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1257 4.5383367687463760e-03</internalNodes>
-          <leafValues>
-            -1.6410829499363899e-02 1.9021320343017578e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1258 -7.3475250974297523e-03</internalNodes>
-          <leafValues>
-            1.5832969546318054e-01 -4.1667878627777100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1259 -2.8285540174692869e-03</internalNodes>
-          <leafValues>
-            6.7029163241386414e-02 -4.5508660376071930e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1260 9.2704901471734047e-03</internalNodes>
-          <leafValues>
-            -5.2456460893154144e-02 1.5916010737419128e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1261 7.3743790388107300e-02</internalNodes>
-          <leafValues>
-            2.7622079942375422e-03 -5.8930927515029907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1262 -7.9017343523446470e-05</internalNodes>
-          <leafValues>
-            5.8952510356903076e-02 -1.0288809984922409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1263 -1.1446610005805269e-04</internalNodes>
-          <leafValues>
-            6.6440522670745850e-02 -6.6069446504116058e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1264 -8.8836946815717965e-05</internalNodes>
-          <leafValues>
-            8.7505243718624115e-02 -7.1942538022994995e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1265 8.6307860328815877e-05</internalNodes>
-          <leafValues>
-            -6.2407039105892181e-02 8.5861496627330780e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1266 2.8763279260601848e-05</internalNodes>
-          <leafValues>
-            -7.2714872658252716e-02 8.1864006817340851e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>300</maxWeakCount>
-      <stageThreshold>-1.4390770196914673e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1267 -2.7320239692926407e-02</internalNodes>
-          <leafValues>
-            3.2964909076690674e-01 -1.7424769699573517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1268 -1.2693449854850769e-01</internalNodes>
-          <leafValues>
-            1.9988879561424255e-01 -1.8093200027942657e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1269 -5.8230119757354259e-03</internalNodes>
-          <leafValues>
-            1.3379770517349243e-01 -2.9584899544715881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1270 -1.0102219879627228e-02</internalNodes>
-          <leafValues>
-            3.0932119488716125e-01 -1.0596410371363163e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1271 -6.1621540226042271e-03</internalNodes>
-          <leafValues>
-            2.6765128970146179e-01 -1.1746490001678467e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1272 1.5751619637012482e-01</internalNodes>
-          <leafValues>
-            -4.4081759452819824e-01 2.5278929620981216e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1273 -1.1121460236608982e-02</internalNodes>
-          <leafValues>
-            2.2672709822654724e-01 -1.2998679280281067e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1274 1.8185679614543915e-01</internalNodes>
-          <leafValues>
-            2.7329839766025543e-02 -2.9153040051460266e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1275 -1.2944860383868217e-02</internalNodes>
-          <leafValues>
-            9.6943646669387817e-02 -1.6887310147285461e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1276 -2.1488919854164124e-02</internalNodes>
-          <leafValues>
-            -2.9174751043319702e-01 2.2947270423173904e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1277 1.9648829475045204e-02</internalNodes>
-          <leafValues>
-            -1.5948629379272461e-01 1.0274410247802734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1278 -2.0773630589246750e-02</internalNodes>
-          <leafValues>
-            3.1656980514526367e-02 -2.1503049880266190e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1279 3.9682849310338497e-03</internalNodes>
-          <leafValues>
-            -2.1936699748039246e-01 7.8478358685970306e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1280 3.0420809984207153e-02</internalNodes>
-          <leafValues>
-            1.0165469720959663e-02 -3.0965119600296021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1281 -1.0891959816217422e-01</internalNodes>
-          <leafValues>
-            1.2353190034627914e-01 -1.2826040387153625e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1282 7.3761628009378910e-03</internalNodes>
-          <leafValues>
-            -7.4341319501399994e-02 1.8419550359249115e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1283 8.1076346337795258e-02</internalNodes>
-          <leafValues>
-            -7.7455572783946991e-02 2.2572399675846100e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1284 -1.1007470078766346e-02</internalNodes>
-          <leafValues>
-            -2.9864379763603210e-01 3.6562368273735046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1285 7.6382579281926155e-03</internalNodes>
-          <leafValues>
-            3.0265279114246368e-02 -4.0436980128288269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1286 -3.9173129945993423e-02</internalNodes>
-          <leafValues>
-            3.6285480856895447e-01 -3.6153119057416916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1287 -3.8692470639944077e-02</internalNodes>
-          <leafValues>
-            -3.6894500255584717e-01 4.1328370571136475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1288 7.3556299321353436e-03</internalNodes>
-          <leafValues>
-            1.4625470153987408e-02 -4.2549151182174683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1289 -3.3073050435632467e-03</internalNodes>
-          <leafValues>
-            1.8068400025367737e-01 -6.9157406687736511e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1290 1.6253300418611616e-04</internalNodes>
-          <leafValues>
-            -6.8862676620483398e-02 5.1595509052276611e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1291 -9.4225285574793816e-03</internalNodes>
-          <leafValues>
-            -5.4762011766433716e-01 2.1833010017871857e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1292 -8.5778563516214490e-05</internalNodes>
-          <leafValues>
-            3.3158481121063232e-02 -2.9057880863547325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1293 -1.2468020431697369e-02</internalNodes>
-          <leafValues>
-            -4.0364319086074829e-01 3.3987078815698624e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1294 3.3008489757776260e-02</internalNodes>
-          <leafValues>
-            7.6816817745566368e-03 -5.0423312187194824e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1295 1.0868630371987820e-02</internalNodes>
-          <leafValues>
-            4.5615401118993759e-02 -2.5677078962326050e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1296 -8.4409132599830627e-02</internalNodes>
-          <leafValues>
-            -3.1029421091079712e-01 4.6273539774119854e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1297 -9.3027371913194656e-03</internalNodes>
-          <leafValues>
-            8.4993101656436920e-02 -1.4124239981174469e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1298 9.2303037643432617e-02</internalNodes>
-          <leafValues>
-            7.9931216314435005e-03 -4.2582070827484131e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1299 -1.0815899819135666e-02</internalNodes>
-          <leafValues>
-            2.1468059718608856e-01 -5.2153371274471283e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1300 -1.1681180330924690e-04</internalNodes>
-          <leafValues>
-            4.8450410366058350e-02 -3.9833851158618927e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1301 -4.0612979792058468e-03</internalNodes>
-          <leafValues>
-            1.6646389663219452e-01 -6.9063633680343628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1302 5.7951388880610466e-03</internalNodes>
-          <leafValues>
-            -9.0683251619338989e-02 8.3746202290058136e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1303 4.9339048564434052e-02</internalNodes>
-          <leafValues>
-            3.9173539727926254e-02 -3.3289939165115356e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1304 1.1971060303039849e-04</internalNodes>
-          <leafValues>
-            -5.3018629550933838e-02 5.9675298631191254e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1305 -1.0609890159685165e-04</internalNodes>
-          <leafValues>
-            8.0995649099349976e-02 -1.6321890056133270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1306 -3.0870910733938217e-02</internalNodes>
-          <leafValues>
-            -9.5257751643657684e-02 1.1297959834337234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1307 1.2120340019464493e-01</internalNodes>
-          <leafValues>
-            -3.6473531275987625e-02 2.9850721359252930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1308 -2.0626220107078552e-01</internalNodes>
-          <leafValues>
-            -2.3698499798774719e-01 1.0814179666340351e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1309 4.5673310756683350e-02</internalNodes>
-          <leafValues>
-            4.6200390905141830e-02 -2.8622150421142578e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1310 -4.6554979681968689e-01</internalNodes>
-          <leafValues>
-            2.3931290209293365e-01 -4.3889150023460388e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1311 -2.7247559279203415e-02</internalNodes>
-          <leafValues>
-            2.2010290622711182e-01 -4.7335881739854813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1312 6.7061851732432842e-03</internalNodes>
-          <leafValues>
-            -8.0964729189872742e-02 1.9794599711894989e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1313 1.0068929754197598e-02</internalNodes>
-          <leafValues>
-            2.1472670137882233e-02 -4.2355400323867798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1314 -2.0853739231824875e-02</internalNodes>
-          <leafValues>
-            8.8176608085632324e-02 -1.1373549699783325e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1315 -1.6856560483574867e-02</internalNodes>
-          <leafValues>
-            -3.3476999402046204e-01 2.8114089742302895e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1316 1.0779639706015587e-02</internalNodes>
-          <leafValues>
-            2.2091429680585861e-02 -2.6592388749122620e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1317 -1.4492620527744293e-01</internalNodes>
-          <leafValues>
-            -4.1471031308174133e-01 2.0235959440469742e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1318 -1.4222270250320435e-01</internalNodes>
-          <leafValues>
-            -5.0898122787475586e-01 1.4417699538171291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1319 -2.6127409189939499e-02</internalNodes>
-          <leafValues>
-            -3.6849400401115417e-01 2.1076979115605354e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1320 -4.4306788593530655e-02</internalNodes>
-          <leafValues>
-            2.4365669488906860e-01 -3.3151701092720032e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1321 -4.7106731683015823e-02</internalNodes>
-          <leafValues>
-            2.2794100642204285e-01 -3.7193849682807922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1322 -1.3220019638538361e-02</internalNodes>
-          <leafValues>
-            9.2124797403812408e-02 -4.0445350110530853e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1323 -2.2011219989508390e-03</internalNodes>
-          <leafValues>
-            1.1649300158023834e-01 -7.2288736701011658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1324 -1.3163460418581963e-02</internalNodes>
-          <leafValues>
-            -2.7950811386108398e-01 1.8101029098033905e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1325 1.3168309815227985e-02</internalNodes>
-          <leafValues>
-            -4.7634720802307129e-02 1.8659350275993347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1326 -3.1536500900983810e-03</internalNodes>
-          <leafValues>
-            -3.4663060307502747e-01 3.5029809921979904e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1327 -6.2986309640109539e-03</internalNodes>
-          <leafValues>
-            -4.4517099857330322e-01 1.6394890844821930e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1328 1.0520889918552712e-04</internalNodes>
-          <leafValues>
-            -1.2221650034189224e-01 9.1529771685600281e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1329 6.7712259478867054e-03</internalNodes>
-          <leafValues>
-            -6.2910549342632294e-02 1.3665160536766052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1330 1.0879420442506671e-03</internalNodes>
-          <leafValues>
-            5.4720260202884674e-02 -9.9656596779823303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1331 -3.3788580913096666e-03</internalNodes>
-          <leafValues>
-            -2.9915699362754822e-01 2.9105750843882561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1332 -4.8709530383348465e-03</internalNodes>
-          <leafValues>
-            8.2811303436756134e-02 -1.3028509914875031e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1333 5.3894789889454842e-03</internalNodes>
-          <leafValues>
-            -4.2147580534219742e-02 2.2190959751605988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1334 1.7554419115185738e-02</internalNodes>
-          <leafValues>
-            2.4383009877055883e-03 -7.2084337472915649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1335 -8.7206506577786058e-05</internalNodes>
-          <leafValues>
-            5.3330589085817337e-02 -1.5196210145950317e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1336 1.5179510228335857e-02</internalNodes>
-          <leafValues>
-            -5.7497899979352951e-02 1.6275669634342194e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1337 -2.5617830455303192e-02</internalNodes>
-          <leafValues>
-            -2.2136710584163666e-01 4.4065218418836594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1338 -8.7506044656038284e-03</internalNodes>
-          <leafValues>
-            1.8021699786186218e-01 -4.8347599804401398e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1339 1.2497880379669368e-04</internalNodes>
-          <leafValues>
-            -1.3058370351791382e-01 6.3506737351417542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1340 5.6294607929885387e-03</internalNodes>
-          <leafValues>
-            2.2644480690360069e-02 -8.5971117019653320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1341 -7.9026613384485245e-03</internalNodes>
-          <leafValues>
-            1.5518979728221893e-01 -5.8897480368614197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1342 -2.4716140702366829e-02</internalNodes>
-          <leafValues>
-            -4.9796000123023987e-01 1.8713599070906639e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1343 7.5827902182936668e-03</internalNodes>
-          <leafValues>
-            1.3807909563183784e-02 -4.6953529119491577e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1344 1.5213450416922569e-02</internalNodes>
-          <leafValues>
-            -6.1865940690040588e-02 3.3661410212516785e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1345 5.6500758975744247e-02</internalNodes>
-          <leafValues>
-            2.3028869181871414e-02 -3.8726210594177246e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1346 -1.2669079937040806e-02</internalNodes>
-          <leafValues>
-            1.1255340278148651e-01 -7.1737729012966156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1347 8.1679318100214005e-03</internalNodes>
-          <leafValues>
-            3.0598040670156479e-02 -2.7574780583381653e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1348 2.4625749886035919e-01</internalNodes>
-          <leafValues>
-            -3.1543320510536432e-03 4.1911658644676208e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1349 -6.3956580124795437e-03</internalNodes>
-          <leafValues>
-            1.2454889714717865e-01 -5.9035938233137131e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1350 2.5588089600205421e-02</internalNodes>
-          <leafValues>
-            1.6577800735831261e-02 -7.5359277427196503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1351 -7.4204497039318085e-02</internalNodes>
-          <leafValues>
-            -2.2262080013751984e-01 4.0606889873743057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1352 -3.4715060144662857e-02</internalNodes>
-          <leafValues>
-            -4.0411248803138733e-01 1.5808880329132080e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1353 -1.1728240177035332e-02</internalNodes>
-          <leafValues>
-            1.3309819996356964e-01 -5.6337751448154449e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1354 1.2831239961087704e-02</internalNodes>
-          <leafValues>
-            1.9909920170903206e-02 -3.7757879495620728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1355 -1.0563439689576626e-02</internalNodes>
-          <leafValues>
-            -3.2508909702301025e-01 2.3221909999847412e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1356 -3.5942891240119934e-01</internalNodes>
-          <leafValues>
-            -3.7527939677238464e-01 1.9600039348006248e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1357 -3.7011738866567612e-02</internalNodes>
-          <leafValues>
-            -5.4136317968368530e-01 1.2847639620304108e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1358 -2.5081379339098930e-02</internalNodes>
-          <leafValues>
-            -3.7354961037635803e-01 1.8088519573211670e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1359 -4.7535188496112823e-03</internalNodes>
-          <leafValues>
-            1.9727499783039093e-01 -4.1774708777666092e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1360 -3.4907329827547073e-02</internalNodes>
-          <leafValues>
-            -7.2574031352996826e-01 1.4851300511509180e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1361 -7.4698338285088539e-03</internalNodes>
-          <leafValues>
-            -2.4860990047454834e-01 2.9280329123139381e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1362 -8.5913809016346931e-03</internalNodes>
-          <leafValues>
-            6.7347623407840729e-02 -4.0358699858188629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1363 -2.2700410336256027e-02</internalNodes>
-          <leafValues>
-            8.9239656925201416e-02 -7.8781761229038239e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1364 2.2053509019315243e-03</internalNodes>
-          <leafValues>
-            -2.9912160709500313e-02 1.0977400094270706e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1365 -9.8910197615623474e-02</internalNodes>
-          <leafValues>
-            1.8266810476779938e-01 -5.4516408592462540e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1366 1.8624879419803619e-02</internalNodes>
-          <leafValues>
-            -2.8659839183092117e-02 1.8234199285507202e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1367 2.1846349537372589e-01</internalNodes>
-          <leafValues>
-            -2.1460210904479027e-02 3.5764479637145996e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1368 -8.7592922151088715e-02</internalNodes>
-          <leafValues>
-            -1.3817930221557617e-01 5.3657878190279007e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1369 -5.9761269949376583e-03</internalNodes>
-          <leafValues>
-            -4.6034899353981018e-01 1.3340939767658710e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1370 -1.2421079911291599e-02</internalNodes>
-          <leafValues>
-            -3.3196499943733215e-01 1.2879449874162674e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1371 -1.3781080488115549e-03</internalNodes>
-          <leafValues>
-            8.6616329848766327e-02 -7.4349276721477509e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1372 -1.4621959999203682e-02</internalNodes>
-          <leafValues>
-            1.3001319766044617e-01 -6.7598417401313782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1373 -2.4735030531883240e-01</internalNodes>
-          <leafValues>
-            8.5237301886081696e-02 -8.4645196795463562e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1374 5.9308610856533051e-02</internalNodes>
-          <leafValues>
-            1.3260659761726856e-02 -1.9157089293003082e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1375 2.7013169601559639e-02</internalNodes>
-          <leafValues>
-            -5.4349761456251144e-02 1.4400729537010193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1376 -1.0043109767138958e-02</internalNodes>
-          <leafValues>
-            9.7532339394092560e-02 -6.7870423197746277e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1377 1.6333710402250290e-02</internalNodes>
-          <leafValues>
-            -3.4645229578018188e-02 2.1960219740867615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1378 -1.2308630160987377e-02</internalNodes>
-          <leafValues>
-            8.2006506621837616e-02 -4.1976820677518845e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1379 1.0485749691724777e-02</internalNodes>
-          <leafValues>
-            -5.1224850118160248e-02 1.4488840103149414e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1380 -1.3628990564029664e-04</internalNodes>
-          <leafValues>
-            6.1384610831737518e-02 -5.8191310614347458e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1381 8.5936411051079631e-04</internalNodes>
-          <leafValues>
-            -5.9147980064153671e-02 1.3367150723934174e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1382 8.3236678619869053e-05</internalNodes>
-          <leafValues>
-            -2.4901889264583588e-02 2.5403380393981934e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1383 1.3244279660284519e-02</internalNodes>
-          <leafValues>
-            2.3201990872621536e-02 -3.1300029158592224e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1384 5.1960810087621212e-03</internalNodes>
-          <leafValues>
-            -2.0643370226025581e-02 1.6936659812927246e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1385 -1.0730049689300358e-04</internalNodes>
-          <leafValues>
-            7.5357936322689056e-02 -8.5676707327365875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1386 1.9123459234833717e-02</internalNodes>
-          <leafValues>
-            7.9347174614667892e-03 -4.0754169225692749e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1387 1.5554900281131268e-02</internalNodes>
-          <leafValues>
-            1.1862790212035179e-02 -5.2963471412658691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1388 1.2289740145206451e-02</internalNodes>
-          <leafValues>
-            -4.7180838882923126e-02 1.5157990157604218e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1389 -1.4573910273611546e-02</internalNodes>
-          <leafValues>
-            -3.6669370532035828e-01 1.7396919429302216e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1390 9.7942277789115906e-03</internalNodes>
-          <leafValues>
-            2.2446950897574425e-02 -1.9372400641441345e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1391 -1.1129249818623066e-02</internalNodes>
-          <leafValues>
-            1.2022449821233749e-01 -5.0490919500589371e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1392 -2.8478259220719337e-02</internalNodes>
-          <leafValues>
-            -1.5742279589176178e-01 1.5236110426485538e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1393 1.7496680840849876e-02</internalNodes>
-          <leafValues>
-            2.5690859183669090e-02 -2.3409870266914368e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1394 1.5521899797022343e-02</internalNodes>
-          <leafValues>
-            -5.5130939930677414e-02 1.3458259403705597e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1395 -7.6961889863014221e-02</internalNodes>
-          <leafValues>
-            1.4820179343223572e-01 -5.2654728293418884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1396 1.2541759759187698e-02</internalNodes>
-          <leafValues>
-            1.9928690046072006e-02 -1.9568939507007599e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1397 1.4891889877617359e-03</internalNodes>
-          <leafValues>
-            -5.2284549921751022e-02 1.2443289905786514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1398 -8.7659856944810599e-05</internalNodes>
-          <leafValues>
-            5.6242011487483978e-02 -3.5084269940853119e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1399 -7.8899807704146951e-05</internalNodes>
-          <leafValues>
-            1.0030300170183182e-01 -7.2244107723236084e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1400 1.0928830306511372e-04</internalNodes>
-          <leafValues>
-            -6.8274326622486115e-02 6.1526838690042496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1401 9.7802199888974428e-05</internalNodes>
-          <leafValues>
-            -8.4941998124122620e-02 7.9070352017879486e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1402 -3.6586909554898739e-03</internalNodes>
-          <leafValues>
-            8.4576956927776337e-02 -6.1979670077562332e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1403 -2.7165230363607407e-02</internalNodes>
-          <leafValues>
-            -1.3254989683628082e-01 4.7547008842229843e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1404 -2.4415540695190430e-01</internalNodes>
-          <leafValues>
-            -2.8779751062393188e-01 1.0103769600391388e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1405 2.1893939375877380e-01</internalNodes>
-          <leafValues>
-            -1.9153190776705742e-02 4.3883860111236572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1406 -3.7663489580154419e-02</internalNodes>
-          <leafValues>
-            -5.3167599439620972e-01 8.6589939892292023e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1407 9.8570194095373154e-03</internalNodes>
-          <leafValues>
-            3.5411339253187180e-02 -1.7533619701862335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1408 -1.1069320142269135e-02</internalNodes>
-          <leafValues>
-            8.7674133479595184e-02 -2.3971110582351685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1409 -3.2092579640448093e-03</internalNodes>
-          <leafValues>
-            1.1677669733762741e-01 -5.2938070148229599e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1410 3.1299121677875519e-02</internalNodes>
-          <leafValues>
-            5.0855642184615135e-03 -1.6072839498519897e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1411 -1.6410440439358354e-03</internalNodes>
-          <leafValues>
-            -1.9995410740375519e-01 3.2194938510656357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1412 -8.7659856944810599e-05</internalNodes>
-          <leafValues>
-            7.1497410535812378e-02 -4.5898139476776123e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1413 -2.0864999387413263e-03</internalNodes>
-          <leafValues>
-            1.7110210657119751e-01 -3.5948559641838074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1414 -6.0527279973030090e-02</internalNodes>
-          <leafValues>
-            -7.6273518800735474e-01 1.3608309673145413e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1415 1.2230159714818001e-02</internalNodes>
-          <leafValues>
-            2.8595050796866417e-02 -2.2392280399799347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1416 -1.7876380681991577e-01</internalNodes>
-          <leafValues>
-            -3.5213679075241089e-01 1.7496939748525620e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1417 -9.4217322766780853e-03</internalNodes>
-          <leafValues>
-            7.6749376952648163e-02 -7.8374743461608887e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1418 5.1809968426823616e-03</internalNodes>
-          <leafValues>
-            3.2549921423196793e-02 -1.0737700015306473e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1419 1.2300110422074795e-02</internalNodes>
-          <leafValues>
-            1.5902930870652199e-02 -3.8703128695487976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1420 -1.2951259850524366e-04</internalNodes>
-          <leafValues>
-            5.2656628191471100e-02 -6.0614999383687973e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1421 -1.0170210152864456e-01</internalNodes>
-          <leafValues>
-            -7.7593147754669189e-01 6.8476120941340923e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1422 -3.6904220469295979e-03</internalNodes>
-          <leafValues>
-            1.9035929441452026e-01 -2.3995259776711464e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1423 1.5722079202532768e-02</internalNodes>
-          <leafValues>
-            2.0075650885701180e-02 -2.8484240174293518e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1424 1.5800909604877234e-03</internalNodes>
-          <leafValues>
-            1.4534479938447475e-02 -4.6087890863418579e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1425 1.9083570223301649e-03</internalNodes>
-          <leafValues>
-            -4.3277118355035782e-02 1.4814759790897369e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1426 4.5368049293756485e-02</internalNodes>
-          <leafValues>
-            1.2600870104506612e-03 -1.0040459632873535e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1427 -3.1613200902938843e-02</internalNodes>
-          <leafValues>
-            1.9041140377521515e-01 -3.0077679082751274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1428 -5.9592720121145248e-02</internalNodes>
-          <leafValues>
-            5.9635359793901443e-02 -6.2979087233543396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1429 -2.2434289753437042e-01</internalNodes>
-          <leafValues>
-            -4.1175138950347900e-01 1.5641730278730392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1430 -6.5899849869310856e-03</internalNodes>
-          <leafValues>
-            1.9443179666996002e-01 -3.1694628298282623e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1431 7.9618580639362335e-03</internalNodes>
-          <leafValues>
-            -5.1823440939188004e-02 1.1943539977073669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1432 2.4097269400954247e-02</internalNodes>
-          <leafValues>
-            2.5083899963647127e-03 -5.8389508724212646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1433 -1.9797749817371368e-02</internalNodes>
-          <leafValues>
-            -2.4893710017204285e-01 2.3319810628890991e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1434 3.0359720811247826e-02</internalNodes>
-          <leafValues>
-            -2.2299349308013916e-02 8.5980042815208435e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1435 -8.3497361629270017e-05</internalNodes>
-          <leafValues>
-            6.4343743026256561e-02 -8.9677549898624420e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1436 -2.3914920166134834e-02</internalNodes>
-          <leafValues>
-            1.2109059840440750e-01 -2.5260699912905693e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1437 -8.6520854383707047e-03</internalNodes>
-          <leafValues>
-            -4.7165429592132568e-01 1.2948970310389996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1438 -1.8689059652388096e-03</internalNodes>
-          <leafValues>
-            -1.8584649264812469e-01 2.8544230386614799e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1439 -1.4712030068039894e-02</internalNodes>
-          <leafValues>
-            7.3833480477333069e-02 -7.9545512795448303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1440 9.6776559075806290e-05</internalNodes>
-          <leafValues>
-            -5.3808450698852539e-02 6.7052409052848816e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1441 -4.0881600230932236e-02</internalNodes>
-          <leafValues>
-            1.5709510445594788e-01 -3.9720211178064346e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1442 4.3581537902355194e-03</internalNodes>
-          <leafValues>
-            -6.8891957402229309e-02 5.4509818553924561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1443 -7.9926364123821259e-03</internalNodes>
-          <leafValues>
-            9.5844186842441559e-02 -6.9580480456352234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1444 1.0333009995520115e-02</internalNodes>
-          <leafValues>
-            -5.4686669260263443e-02 1.3011549413204193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1445 -1.1435869964770973e-04</internalNodes>
-          <leafValues>
-            6.7426279187202454e-02 -9.8393097519874573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1446 -2.0709419623017311e-02</internalNodes>
-          <leafValues>
-            2.0106869935989380e-01 -2.6080749928951263e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1447 -1.6621459508314729e-03</internalNodes>
-          <leafValues>
-            -2.2376410663127899e-01 2.6049429550766945e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1448 1.9625460263341665e-03</internalNodes>
-          <leafValues>
-            -4.3015338480472565e-02 1.2084879726171494e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1449 -4.7995131462812424e-02</internalNodes>
-          <leafValues>
-            -5.9408020973205566e-01 9.8937414586544037e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1450 -8.1422913353890181e-05</internalNodes>
-          <leafValues>
-            6.3267372548580170e-02 -4.6790290623903275e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1451 -3.5077799111604691e-03</internalNodes>
-          <leafValues>
-            2.0965479314327240e-01 -2.5860479101538658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1452 6.1466880142688751e-03</internalNodes>
-          <leafValues>
-            2.1389920264482498e-02 -1.5767499804496765e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1453 -2.2475130856037140e-02</internalNodes>
-          <leafValues>
-            -3.8649868965148926e-01 1.3500030152499676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1454 -1.2854509986937046e-02</internalNodes>
-          <leafValues>
-            -3.1043541431427002e-01 1.6851799562573433e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1455 -3.2944459468126297e-02</internalNodes>
-          <leafValues>
-            -2.4135130643844604e-01 2.1218579262495041e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1456 -4.2211711406707764e-03</internalNodes>
-          <leafValues>
-            5.4983090609312057e-02 -3.6255910992622375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1457 -2.5159320794045925e-03</internalNodes>
-          <leafValues>
-            6.7240409553050995e-02 -1.0563170164823532e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1458 1.2536929920315742e-02</internalNodes>
-          <leafValues>
-            -3.1297560781240463e-02 4.4635839760303497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1459 -1.2544070370495319e-02</internalNodes>
-          <leafValues>
-            2.4844449758529663e-01 -3.0549539253115654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1460 -4.6609319746494293e-02</internalNodes>
-          <leafValues>
-            -4.1198849678039551e-01 7.2858459316194057e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1461 -1.3294920325279236e-02</internalNodes>
-          <leafValues>
-            1.6136699914932251e-01 -4.0562149137258530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1462 -2.8895901050418615e-03</internalNodes>
-          <leafValues>
-            6.9220848381519318e-02 -3.4948769956827164e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1463 9.2754911747761071e-05</internalNodes>
-          <leafValues>
-            -6.2799602746963501e-02 9.0230673551559448e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1464 1.2964129447937012e-01</internalNodes>
-          <leafValues>
-            -8.1927813589572906e-03 3.8863879442214966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1465 -2.8936140239238739e-02</internalNodes>
-          <leafValues>
-            8.4075257182121277e-02 -6.7740783095359802e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1466 -1.4308850513771176e-03</internalNodes>
-          <leafValues>
-            -5.4857030510902405e-02 2.9219489544630051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1467 2.3652089294046164e-03</internalNodes>
-          <leafValues>
-            -4.8029679805040359e-02 1.3704180717468262e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1468 1.5420720446854830e-03</internalNodes>
-          <leafValues>
-            -4.9499150365591049e-02 6.5847739577293396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1469 -1.8509089713916183e-03</internalNodes>
-          <leafValues>
-            -2.3544579744338989e-01 2.5507390499114990e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1470 -6.0786440735682845e-04</internalNodes>
-          <leafValues>
-            4.0977660566568375e-02 -3.0832519754767418e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1471 -4.1273389942944050e-03</internalNodes>
-          <leafValues>
-            1.1393050104379654e-01 -5.2464749664068222e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1472 -2.1144140511751175e-02</internalNodes>
-          <leafValues>
-            -2.8581771254539490e-01 1.9020890817046165e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1473 -6.8623408675193787e-02</internalNodes>
-          <leafValues>
-            5.2402520179748535e-01 -1.3370789587497711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1474 -2.3273609578609467e-02</internalNodes>
-          <leafValues>
-            -1.9590279459953308e-01 1.5390779823064804e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1475 1.1729559861123562e-02</internalNodes>
-          <leafValues>
-            1.2804569676518440e-02 -3.9975368976593018e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1476 -1.9197949441149831e-03</internalNodes>
-          <leafValues>
-            -2.5994110107421875e-01 2.8458990156650543e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1477 1.1447600554674864e-03</internalNodes>
-          <leafValues>
-            -4.5072000473737717e-02 1.3860389590263367e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1478 -1.0227440361632034e-04</internalNodes>
-          <leafValues>
-            5.5592600256204605e-02 -4.9113009124994278e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1479 -1.0123359970748425e-04</internalNodes>
-          <leafValues>
-            9.4505466520786285e-02 -8.8237293064594269e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1480 1.0893570288317278e-04</internalNodes>
-          <leafValues>
-            -4.5741818845272064e-02 5.8658581227064133e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1481 7.4765441240742803e-05</internalNodes>
-          <leafValues>
-            -8.0418758094310760e-02 1.0517989844083786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1482 -1.0043049696832895e-03</internalNodes>
-          <leafValues>
-            3.7291228771209717e-02 -9.5728866755962372e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1483 -1.3605220243334770e-02</internalNodes>
-          <leafValues>
-            -1.7957609891891479e-01 3.2971139997243881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1484 2.8680460527539253e-03</internalNodes>
-          <leafValues>
-            1.2185310013592243e-02 -2.6212790608406067e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1485 -1.2858140689786524e-04</internalNodes>
-          <leafValues>
-            8.6011983454227448e-02 -6.9080702960491180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1486 1.2469210196286440e-03</internalNodes>
-          <leafValues>
-            2.2270040586590767e-02 -1.1044169962406158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1487 8.2425161963328719e-04</internalNodes>
-          <leafValues>
-            -5.4833728820085526e-02 1.2498649954795837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1488 7.8583601862192154e-05</internalNodes>
-          <leafValues>
-            -5.4548110812902451e-02 6.6198967397212982e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1489 -8.3637831266969442e-04</internalNodes>
-          <leafValues>
-            1.3395069539546967e-01 -5.7126030325889587e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1490 1.0339979780837893e-04</internalNodes>
-          <leafValues>
-            -3.7374898791313171e-02 5.5564608424901962e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1491 1.1284360289573669e-01</internalNodes>
-          <leafValues>
-            -4.7857798635959625e-02 1.4919960498809814e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1492 -2.1991500630974770e-02</internalNodes>
-          <leafValues>
-            7.4098996818065643e-02 -1.5654139220714569e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1493 -5.8295959606766701e-03</internalNodes>
-          <leafValues>
-            -1.2228869646787643e-01 4.6361729502677917e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1494 -4.7616049647331238e-01</internalNodes>
-          <leafValues>
-            2.9897591471672058e-01 -1.9476199522614479e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1495 -9.6184182912111282e-03</internalNodes>
-          <leafValues>
-            6.5632872283458710e-02 -9.7764529287815094e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1496 -9.8459348082542419e-03</internalNodes>
-          <leafValues>
-            2.9953660443425179e-02 -4.1783228516578674e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1497 -3.4493058919906616e-02</internalNodes>
-          <leafValues>
-            1.4814029633998871e-01 -5.2295818924903870e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1498 -2.7170699089765549e-02</internalNodes>
-          <leafValues>
-            -1.8757429718971252e-01 1.2358410283923149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1499 3.2725300639867783e-02</internalNodes>
-          <leafValues>
-            1.3365229591727257e-02 -4.1139039397239685e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1500 8.4677049017045647e-05</internalNodes>
-          <leafValues>
-            -3.6508630961179733e-02 4.4863410294055939e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1501 4.8961658030748367e-03</internalNodes>
-          <leafValues>
-            -4.9906510859727859e-02 1.1985769867897034e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1502 -9.8173961043357849e-02</internalNodes>
-          <leafValues>
-            -4.0475818514823914e-01 2.2186879068613052e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1503 -2.9190620407462120e-02</internalNodes>
-          <leafValues>
-            2.0124709606170654e-01 -3.4556761384010315e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1504 1.6377819702029228e-03</internalNodes>
-          <leafValues>
-            4.8856548964977264e-02 -1.1524800211191177e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1505 -1.1581239959923550e-04</internalNodes>
-          <leafValues>
-            5.7624600827693939e-02 -9.5245189964771271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1506 -1.2790900655090809e-04</internalNodes>
-          <leafValues>
-            6.4437143504619598e-02 -6.1183791607618332e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1507 1.8525200430303812e-03</internalNodes>
-          <leafValues>
-            -3.9117921143770218e-02 1.5792779624462128e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1508 -1.6371360048651695e-02</internalNodes>
-          <leafValues>
-            -2.7185299992561340e-01 1.6307469457387924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1509 9.7776018083095551e-04</internalNodes>
-          <leafValues>
-            -5.2038270980119705e-02 1.1381710320711136e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1510 1.5415719710290432e-02</internalNodes>
-          <leafValues>
-            1.3977140188217163e-02 -3.4197929501533508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1511 1.4122789725661278e-03</internalNodes>
-          <leafValues>
-            -4.9484260380268097e-02 1.1596909910440445e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1512 1.0917360335588455e-01</internalNodes>
-          <leafValues>
-            4.8475428484380245e-03 -5.3975361585617065e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1513 6.0521319508552551e-02</internalNodes>
-          <leafValues>
-            2.1077200770378113e-02 -2.8005740046501160e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1514 2.5193318724632263e-01</internalNodes>
-          <leafValues>
-            -7.9183783382177353e-03 4.0918448567390442e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1515 2.7253168821334839e-01</internalNodes>
-          <leafValues>
-            -1.2983440421521664e-02 4.2010658979415894e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1516 3.7246018648147583e-02</internalNodes>
-          <leafValues>
-            8.6529608815908432e-03 -5.9303051233291626e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1517 -2.1589249372482300e-02</internalNodes>
-          <leafValues>
-            -3.1377330422401428e-01 1.6977600753307343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1518 -2.6934880763292313e-02</internalNodes>
-          <leafValues>
-            -3.6965128779411316e-01 2.5225139688700438e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1519 1.0230350308120251e-02</internalNodes>
-          <leafValues>
-            2.0219080150127411e-02 -2.8223741054534912e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1520 -2.4981389287859201e-03</internalNodes>
-          <leafValues>
-            2.8802009299397469e-02 -4.1332159191370010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1521 6.1933491379022598e-02</internalNodes>
-          <leafValues>
-            -2.1436979994177818e-02 2.8102350234985352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1522 -1.5541249513626099e-01</internalNodes>
-          <leafValues>
-            9.4182349741458893e-02 -5.3503081202507019e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1523 1.4328320324420929e-01</internalNodes>
-          <leafValues>
-            1.8958590924739838e-02 -3.2329851388931274e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1524 1.0829309467226267e-03</internalNodes>
-          <leafValues>
-            -3.9980951696634293e-02 8.4950529038906097e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1525 4.2623549699783325e-02</internalNodes>
-          <leafValues>
-            2.5714209303259850e-02 -2.0262250304222107e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1526 -9.4770672149024904e-05</internalNodes>
-          <leafValues>
-            7.2402693331241608e-02 -7.2625011205673218e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1527 -4.9279178492724895e-03</internalNodes>
-          <leafValues>
-            -2.1339289844036102e-01 2.8035620227456093e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1528 2.2998640779405832e-03</internalNodes>
-          <leafValues>
-            1.7618950456380844e-02 -1.7477869987487793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1529 -1.8047069897875190e-03</internalNodes>
-          <leafValues>
-            1.5262520313262939e-01 -3.3268321305513382e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1530 6.3559878617525101e-03</internalNodes>
-          <leafValues>
-            2.4536989629268646e-02 -2.5021979212760925e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1531 1.7984479665756226e-02</internalNodes>
-          <leafValues>
-            -4.4790919870138168e-02 1.1593340337276459e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1532 -1.3372869789600372e-01</internalNodes>
-          <leafValues>
-            3.0456998944282532e-01 -1.9601140171289444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1533 -7.6566986739635468e-02</internalNodes>
-          <leafValues>
-            3.2627278566360474e-01 -1.6411129385232925e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1534 5.7867518626153469e-04</internalNodes>
-          <leafValues>
-            -5.3845439106225967e-02 8.0281347036361694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1535 -1.0546330304350704e-04</internalNodes>
-          <leafValues>
-            5.7120978832244873e-02 -8.6317531764507294e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1536 6.7152240080758929e-04</internalNodes>
-          <leafValues>
-            -3.0404970049858093e-02 3.0943179503083229e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1537 -1.8690660595893860e-02</internalNodes>
-          <leafValues>
-            1.0812710225582123e-01 -5.5201351642608643e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1538 -3.6627850495278835e-03</internalNodes>
-          <leafValues>
-            1.0792650282382965e-01 -3.5584200173616409e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1539 1.9153920002281666e-03</internalNodes>
-          <leafValues>
-            -5.5652879178524017e-02 1.0891920328140259e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1540 -5.8281961828470230e-02</internalNodes>
-          <leafValues>
-            9.2221289873123169e-02 -5.9672281146049500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1541 2.0880669355392456e-02</internalNodes>
-          <leafValues>
-            -4.4841628521680832e-02 1.4994530379772186e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1542 -1.2872450053691864e-02</internalNodes>
-          <leafValues>
-            -1.8297229707241058e-01 1.2131419964134693e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1543 -1.5816009545233101e-04</internalNodes>
-          <leafValues>
-            6.7625537514686584e-02 -7.4934296309947968e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1544 -3.6091450601816177e-03</internalNodes>
-          <leafValues>
-            6.2888123095035553e-02 -6.1180680990219116e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1545 1.5257050283253193e-02</internalNodes>
-          <leafValues>
-            4.0386959910392761e-02 -1.3029590249061584e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1546 7.2127310559153557e-03</internalNodes>
-          <leafValues>
-            -2.4583019316196442e-02 9.6449322998523712e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1547 -6.6937888041138649e-03</internalNodes>
-          <leafValues>
-            1.2095390260219574e-01 -5.6884378194808960e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1548 -2.9697069898247719e-02</internalNodes>
-          <leafValues>
-            -4.4960159063339233e-01 2.3813890293240547e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1549 1.4415530022233725e-03</internalNodes>
-          <leafValues>
-            3.7733301520347595e-02 -1.2737789750099182e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1550 1.4221980236470699e-03</internalNodes>
-          <leafValues>
-            -2.1170429885387421e-01 1.6940960660576820e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1551 -1.5120590105652809e-03</internalNodes>
-          <leafValues>
-            1.2285920232534409e-01 -4.1854929178953171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1552 2.0304210484027863e-02</internalNodes>
-          <leafValues>
-            1.3554779812693596e-02 -1.9578050076961517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1553 -2.0062210038304329e-02</internalNodes>
-          <leafValues>
-            -2.1793180704116821e-01 2.1363889798521996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1554 -8.2440199330449104e-03</internalNodes>
-          <leafValues>
-            2.9835399985313416e-01 -1.6030140221118927e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1555 -1.2381359934806824e-01</internalNodes>
-          <leafValues>
-            -7.2187852859497070e-01 7.2500761598348618e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1556 1.4663189649581909e-01</internalNodes>
-          <leafValues>
-            1.0929410345852375e-02 -3.8258919119834900e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1557 -1.0277800261974335e-02</internalNodes>
-          <leafValues>
-            1.1528860032558441e-01 -4.0658649057149887e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1558 3.3496099058538675e-03</internalNodes>
-          <leafValues>
-            -3.0865129083395004e-02 6.3714809715747833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1559 -1.4789789915084839e-02</internalNodes>
-          <leafValues>
-            -2.6894780993461609e-01 2.2147249430418015e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1560 5.2639901638031006e-02</internalNodes>
-          <leafValues>
-            -1.1888500303030014e-03 8.4306770563125610e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1561 -2.2687960416078568e-02</internalNodes>
-          <leafValues>
-            -5.0103509426116943e-01 1.0603000409901142e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1562 1.3357940129935741e-02</internalNodes>
-          <leafValues>
-            1.3358240015804768e-02 -3.4407868981361389e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1563 4.0347680449485779e-02</internalNodes>
-          <leafValues>
-            -2.2541839629411697e-02 2.1424660086631775e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1564 2.0399050787091255e-02</internalNodes>
-          <leafValues>
-            5.7352068834006786e-03 -8.1542342901229858e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1565 -2.0794410258531570e-02</internalNodes>
-          <leafValues>
-            2.8139808773994446e-01 -1.7350850626826286e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1566 -2.2991070523858070e-02</internalNodes>
-          <leafValues>
-            -2.3115499317646027e-01 1.0062159970402718e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>278</maxWeakCount>
-      <stageThreshold>-1.4224710464477539e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1567 -3.2529558986425400e-02</internalNodes>
-          <leafValues>
-            3.8044160604476929e-01 -1.5227490663528442e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1568 -9.6866730600595474e-03</internalNodes>
-          <leafValues>
-            1.7110300064086914e-01 -6.4435392618179321e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1569 -4.2818721383810043e-02</internalNodes>
-          <leafValues>
-            3.5909658670425415e-01 -8.2244172692298889e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1570 4.7356471419334412e-02</internalNodes>
-          <leafValues>
-            -4.5057401061058044e-02 1.1725539714097977e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1571 -3.3883251249790192e-02</internalNodes>
-          <leafValues>
-            1.5656350553035736e-01 -1.9660830497741699e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1572 1.6506519168615341e-02</internalNodes>
-          <leafValues>
-            -3.7829719483852386e-02 4.3533229827880859e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1573 1.4033010229468346e-02</internalNodes>
-          <leafValues>
-            -8.4303461015224457e-02 3.9072498679161072e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1574 -4.3674569576978683e-02</internalNodes>
-          <leafValues>
-            3.5789701342582703e-01 -5.6618168950080872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1575 3.9390970021486282e-02</internalNodes>
-          <leafValues>
-            7.4526593089103699e-02 -2.8721511363983154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1576 2.7967539429664612e-01</internalNodes>
-          <leafValues>
-            -1.7927689850330353e-01 9.5716983079910278e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1577 -2.7309380471706390e-02</internalNodes>
-          <leafValues>
-            2.0642340183258057e-01 -9.6997790038585663e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1578 8.1798024475574493e-03</internalNodes>
-          <leafValues>
-            -4.3230161070823669e-02 1.0153889656066895e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1579 4.8562590964138508e-03</internalNodes>
-          <leafValues>
-            -6.6235437989234924e-02 2.2371730208396912e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1580 -2.1111050620675087e-02</internalNodes>
-          <leafValues>
-            -2.3597380518913269e-01 2.0980730652809143e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1581 2.9689490329474211e-03</internalNodes>
-          <leafValues>
-            5.5319551378488541e-02 -3.1421989202499390e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1582 -1.4177729608491063e-03</internalNodes>
-          <leafValues>
-            -9.9316902458667755e-02 4.0930420160293579e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1583 1.8895609537139535e-03</internalNodes>
-          <leafValues>
-            4.7736670821905136e-02 -3.3560028672218323e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1584 -3.2547879964113235e-02</internalNodes>
-          <leafValues>
-            -4.6100369095802307e-01 2.2066680714488029e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1585 -3.2047629356384277e-02</internalNodes>
-          <leafValues>
-            -3.7099909782409668e-01 3.5771168768405914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1586 -1.0906500369310379e-01</internalNodes>
-          <leafValues>
-            2.7380779385566711e-01 -5.1245860755443573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1587 4.5085761696100235e-02</internalNodes>
-          <leafValues>
-            -8.0376937985420227e-02 2.0190399885177612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1588 9.6619682153686881e-05</internalNodes>
-          <leafValues>
-            -3.8644108921289444e-02 4.5012358576059341e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1589 -1.2527930084615946e-04</internalNodes>
-          <leafValues>
-            6.0821618884801865e-02 -2.3440569639205933e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1590 -7.6730418950319290e-03</internalNodes>
-          <leafValues>
-            -2.5697150826454163e-01 3.0136449262499809e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1591 -2.4111960083246231e-03</internalNodes>
-          <leafValues>
-            1.3455359637737274e-01 -9.4123587012290955e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1592 -3.5480279475450516e-03</internalNodes>
-          <leafValues>
-            1.6368620097637177e-01 -6.5735898911952972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1593 -7.4420678429305553e-03</internalNodes>
-          <leafValues>
-            4.3583691120147705e-01 -3.4085851162672043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1594 6.9531807675957680e-03</internalNodes>
-          <leafValues>
-            3.4082211554050446e-02 -1.5552860498428345e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1595 -1.1566810309886932e-02</internalNodes>
-          <leafValues>
-            -3.7222158908843994e-01 3.1968921422958374e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1596 7.3271869041491300e-05</internalNodes>
-          <leafValues>
-            -4.7866608947515488e-02 3.9341930299997330e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1597 -4.7459648922085762e-03</internalNodes>
-          <leafValues>
-            1.8686290085315704e-01 -6.2216449528932571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1598 -2.4754500016570091e-02</internalNodes>
-          <leafValues>
-            -5.0596177577972412e-01 1.3228390365839005e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1599 1.1549480259418488e-02</internalNodes>
-          <leafValues>
-            4.1499558836221695e-02 -2.6305711269378662e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1600 7.6468382030725479e-03</internalNodes>
-          <leafValues>
-            1.4065190218389034e-02 -3.6097638309001923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1601 2.9371369630098343e-02</internalNodes>
-          <leafValues>
-            -5.6847479194402695e-02 1.8845230340957642e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1602 -6.5610869787633419e-03</internalNodes>
-          <leafValues>
-            2.4409130215644836e-01 -7.4077129364013672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1603 -1.7362499609589577e-02</internalNodes>
-          <leafValues>
-            -2.6955080032348633e-01 4.5806050300598145e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1604 -6.4328663051128387e-02</internalNodes>
-          <leafValues>
-            -6.7359542846679688e-01 8.9323017746210098e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1605 -2.5860529392957687e-02</internalNodes>
-          <leafValues>
-            -2.8402230143547058e-01 3.7698548287153244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1606 -3.9703961461782455e-02</internalNodes>
-          <leafValues>
-            -4.8480059951543808e-02 1.0969489812850952e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1607 -3.3141750842332840e-02</internalNodes>
-          <leafValues>
-            1.4789700508117676e-01 -8.2552701234817505e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1608 -3.9032109081745148e-02</internalNodes>
-          <leafValues>
-            9.3282796442508698e-02 -5.6148871779441833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1609 -1.1510000331327319e-04</internalNodes>
-          <leafValues>
-            7.6830253005027771e-02 -1.4591589570045471e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1610 2.8774080798029900e-02</internalNodes>
-          <leafValues>
-            1.4245410449802876e-02 -4.2927891016006470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1611 -1.7967380583286285e-02</internalNodes>
-          <leafValues>
-            -2.8555288910865784e-01 3.5016119480133057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1612 -1.4183930121362209e-02</internalNodes>
-          <leafValues>
-            -2.0557439327239990e-01 2.4191029369831085e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1613 9.5999464392662048e-03</internalNodes>
-          <leafValues>
-            3.8848869502544403e-02 -2.5329971313476562e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1614 2.8658700175583363e-03</internalNodes>
-          <leafValues>
-            -3.8897961378097534e-02 2.1641039848327637e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1615 9.8942127078771591e-03</internalNodes>
-          <leafValues>
-            -2.2040490061044693e-02 4.1194090247154236e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1616 5.3157331421971321e-03</internalNodes>
-          <leafValues>
-            3.4069050103425980e-02 -1.9336779415607452e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1617 1.1667669750750065e-02</internalNodes>
-          <leafValues>
-            2.8704559430480003e-02 -3.2336559891700745e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1618 7.9165054485201836e-03</internalNodes>
-          <leafValues>
-            -2.1710209548473358e-02 2.7279400825500488e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1619 1.4896179549396038e-02</internalNodes>
-          <leafValues>
-            -2.8705410659313202e-02 2.9993739724159241e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1620 -4.6051971614360809e-02</internalNodes>
-          <leafValues>
-            -7.1714037656784058e-01 1.6391549725085497e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1621 1.2525349855422974e-02</internalNodes>
-          <leafValues>
-            -2.4171119555830956e-02 3.4617099165916443e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1622 -7.3274560272693634e-03</internalNodes>
-          <leafValues>
-            -1.2797740101814270e-01 4.1265968233346939e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1623 -1.0679940169211477e-04</internalNodes>
-          <leafValues>
-            5.8594450354576111e-02 -1.5463119745254517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1624 1.1660600081086159e-02</internalNodes>
-          <leafValues>
-            1.1693470180034637e-02 -4.9165180325508118e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1625 -1.6170109808444977e-01</internalNodes>
-          <leafValues>
-            -3.9669001102447510e-01 2.2492909803986549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1626 -2.1332919597625732e-02</internalNodes>
-          <leafValues>
-            1.0327749699354172e-01 -7.7664600685238838e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1627 2.2397670894861221e-02</internalNodes>
-          <leafValues>
-            -3.1559981405735016e-02 2.6935219764709473e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1628 -9.1192683612462133e-05</internalNodes>
-          <leafValues>
-            7.7337473630905151e-02 -7.5700417160987854e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1629 -2.4261020123958588e-02</internalNodes>
-          <leafValues>
-            1.0713250190019608e-01 -8.2371480762958527e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1630 8.2271397113800049e-03</internalNodes>
-          <leafValues>
-            -2.9786510393023491e-02 1.6342550516128540e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1631 1.4093330129981041e-02</internalNodes>
-          <leafValues>
-            -2.8404369950294495e-02 3.5299220681190491e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1632 -1.0918209701776505e-01</internalNodes>
-          <leafValues>
-            1.7027379572391510e-01 -6.2282849103212357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1633 -3.2730210572481155e-02</internalNodes>
-          <leafValues>
-            -1.7788340151309967e-01 5.2962359040975571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1634 -1.2067790143191814e-02</internalNodes>
-          <leafValues>
-            1.1206190288066864e-01 -6.1255540698766708e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1635 1.0436809808015823e-01</internalNodes>
-          <leafValues>
-            -3.2521981745958328e-02 2.8920689225196838e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1636 5.5702589452266693e-03</internalNodes>
-          <leafValues>
-            3.2705459743738174e-02 -1.8883390724658966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1637 -7.4505289085209370e-03</internalNodes>
-          <leafValues>
-            1.1109550297260284e-01 -7.6065346598625183e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1638 1.8507199361920357e-02</internalNodes>
-          <leafValues>
-            5.1278448663651943e-03 -3.2454928755760193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1639 -1.3000619946978986e-04</internalNodes>
-          <leafValues>
-            6.5906368196010590e-02 -1.1608509719371796e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1640 -1.0110549919772893e-04</internalNodes>
-          <leafValues>
-            6.6874466836452484e-02 -6.1187278479337692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1641 -8.2355996710248291e-05</internalNodes>
-          <leafValues>
-            5.6198339909315109e-02 -1.3230879604816437e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1642 6.7807449959218502e-03</internalNodes>
-          <leafValues>
-            -3.2801959663629532e-02 2.2695629298686981e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1643 -1.0289719700813293e-01</internalNodes>
-          <leafValues>
-            -3.2038938999176025e-01 2.5616079568862915e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1644 1.0858030145755038e-04</internalNodes>
-          <leafValues>
-            -2.3970989510416985e-02 3.6143548786640167e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1645 3.4920300822705030e-03</internalNodes>
-          <leafValues>
-            4.0521498769521713e-02 -2.0743690431118011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1646 8.4493216127157211e-03</internalNodes>
-          <leafValues>
-            2.7343379333615303e-02 -8.0973640084266663e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1647 -5.8201588690280914e-03</internalNodes>
-          <leafValues>
-            1.4030739665031433e-01 -5.3014609962701797e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1648 -2.0276790019124746e-03</internalNodes>
-          <leafValues>
-            -2.3815169930458069e-01 2.8206869959831238e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1649 -6.2650619074702263e-03</internalNodes>
-          <leafValues>
-            1.0950689762830734e-01 -7.1786336600780487e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1650 1.8329780548810959e-02</internalNodes>
-          <leafValues>
-            3.2881149090826511e-03 -2.4403749406337738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1651 -1.4055710285902023e-02</internalNodes>
-          <leafValues>
-            -2.0988300442695618e-01 3.7349730730056763e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1652 1.6436750069260597e-02</internalNodes>
-          <leafValues>
-            -2.0020410418510437e-02 1.7581729590892792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1653 -7.6040881685912609e-03</internalNodes>
-          <leafValues>
-            1.1120659857988358e-01 -6.6377982497215271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1654 -1.7437810311093926e-03</internalNodes>
-          <leafValues>
-            -1.1763899773359299e-01 2.0920079201459885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1655 2.0605439785867929e-03</internalNodes>
-          <leafValues>
-            3.0492970719933510e-02 -2.3323950171470642e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1656 -4.7545689158141613e-03</internalNodes>
-          <leafValues>
-            1.5850760042667389e-01 -4.9032289534807205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1657 1.0362310335040092e-02</internalNodes>
-          <leafValues>
-            -1.0725220292806625e-01 7.2945110499858856e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1658 1.9581569358706474e-02</internalNodes>
-          <leafValues>
-            -3.0178340151906013e-02 1.2788949906826019e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1659 -3.7324108183383942e-02</internalNodes>
-          <leafValues>
-            2.5007569789886475e-01 -3.4548711031675339e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1660 -2.2115129977464676e-02</internalNodes>
-          <leafValues>
-            -3.5684010386466980e-01 1.4295370317995548e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1661 -1.7337020486593246e-02</internalNodes>
-          <leafValues>
-            1.5191890299320221e-01 -5.3740900009870529e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1662 -1.1369160376489162e-02</internalNodes>
-          <leafValues>
-            -1.5406270325183868e-01 1.4785549603402615e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1663 -1.4761550351977348e-02</internalNodes>
-          <leafValues>
-            -3.7672498822212219e-01 2.3018039762973785e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1664 -1.1766609735786915e-02</internalNodes>
-          <leafValues>
-            1.4722760021686554e-01 -3.5164430737495422e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1665 -5.1778471097350121e-03</internalNodes>
-          <leafValues>
-            -1.5880860388278961e-01 5.5203009396791458e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1666 1.8116280436515808e-01</internalNodes>
-          <leafValues>
-            5.9258830733597279e-03 -3.4079378843307495e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1667 -2.8401340823620558e-03</internalNodes>
-          <leafValues>
-            -2.5190570950508118e-01 2.9740760102868080e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1668 -5.6462749838829041e-02</internalNodes>
-          <leafValues>
-            -4.2315030097961426e-01 9.2743232380598783e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1669 -3.3624221105128527e-03</internalNodes>
-          <leafValues>
-            6.5666697919368744e-02 -1.0826759785413742e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1670 8.3388388156890869e-03</internalNodes>
-          <leafValues>
-            1.0488309897482395e-02 -7.4981592595577240e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1671 -1.5665130689740181e-02</internalNodes>
-          <leafValues>
-            -3.9219671487808228e-01 1.8510419875383377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1672 -1.7687210347503424e-03</internalNodes>
-          <leafValues>
-            1.5860289335250854e-01 -3.9618719369173050e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1673 -6.9300839677453041e-03</internalNodes>
-          <leafValues>
-            -2.1337039768695831e-01 3.1901270151138306e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1674 -6.2634617090225220e-02</internalNodes>
-          <leafValues>
-            4.6897390484809875e-01 -1.0887789539992809e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1675 3.6505470052361488e-03</internalNodes>
-          <leafValues>
-            -2.6130320504307747e-02 2.3748870193958282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1676 1.1151240207254887e-02</internalNodes>
-          <leafValues>
-            5.3229848854243755e-03 -3.2130768895149231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1677 -4.5365858823060989e-03</internalNodes>
-          <leafValues>
-            8.2844547927379608e-02 -8.0115981400012970e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1678 -4.3989070691168308e-03</internalNodes>
-          <leafValues>
-            -2.2062489390373230e-01 2.3956889286637306e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1679 -8.0931422417052090e-05</internalNodes>
-          <leafValues>
-            8.3183720707893372e-02 -7.6105080544948578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1680 1.7180040478706360e-02</internalNodes>
-          <leafValues>
-            3.0891239643096924e-02 -2.1150709688663483e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1681 -1.9628280773758888e-02</internalNodes>
-          <leafValues>
-            1.8306790292263031e-01 -3.8707170635461807e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1682 2.4444239214062691e-02</internalNodes>
-          <leafValues>
-            -2.6723939180374146e-01 2.7812579646706581e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1683 -3.6335210315883160e-03</internalNodes>
-          <leafValues>
-            1.2941999733448029e-01 -6.0854408890008926e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1684 -1.5583789348602295e-01</internalNodes>
-          <leafValues>
-            2.9201939702033997e-01 -2.2044450044631958e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1685 1.2645959854125977e-02</internalNodes>
-          <leafValues>
-            -5.7956811040639877e-02 1.2000530213117599e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1686 -1.8256660550832748e-02</internalNodes>
-          <leafValues>
-            1.1456149816513062e-01 -6.6880658268928528e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1687 7.8691470623016357e-01</internalNodes>
-          <leafValues>
-            -1.9597550854086876e-02 3.9855471253395081e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1688 -2.6444930117577314e-03</internalNodes>
-          <leafValues>
-            -2.0646509528160095e-01 2.4280549958348274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1689 -1.0909110278589651e-04</internalNodes>
-          <leafValues>
-            9.3177713453769684e-02 -8.4980867803096771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1690 -9.1609297669492662e-05</internalNodes>
-          <leafValues>
-            6.3885338604450226e-02 -7.0593856275081635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1691 1.0280970309395343e-04</internalNodes>
-          <leafValues>
-            -8.3767838776111603e-02 1.1355379968881607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1692 6.5171226859092712e-02</internalNodes>
-          <leafValues>
-            -2.1008869633078575e-02 1.6222980618476868e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1693 -3.3189691603183746e-02</internalNodes>
-          <leafValues>
-            1.4846749603748322e-01 -5.2959389984607697e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1694 -4.0189391374588013e-01</internalNodes>
-          <leafValues>
-            -4.9486890435218811e-01 1.5633370727300644e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1695 7.2733121924102306e-03</internalNodes>
-          <leafValues>
-            2.7792690321803093e-02 -2.3128899931907654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1696 -1.3244659639894962e-02</internalNodes>
-          <leafValues>
-            -2.8102970123291016e-01 2.6572089642286301e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1697 -2.2069490514695644e-03</internalNodes>
-          <leafValues>
-            -1.3499380648136139e-01 5.3295578807592392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1698 6.3389358110725880e-03</internalNodes>
-          <leafValues>
-            -2.9710570350289345e-02 1.2620060145854950e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1699 -1.9882840570062399e-03</internalNodes>
-          <leafValues>
-            1.4089819788932800e-01 -6.4480878412723541e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1700 1.1109679937362671e-02</internalNodes>
-          <leafValues>
-            3.6036681383848190e-02 -2.0155589282512665e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1701 -1.5754520893096924e-02</internalNodes>
-          <leafValues>
-            -3.8578459620475769e-01 1.7101729288697243e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1702 -2.0075829233974218e-03</internalNodes>
-          <leafValues>
-            1.0723750293254852e-01 -3.2845478504896164e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1703 -1.0277600085828453e-04</internalNodes>
-          <leafValues>
-            8.9651212096214294e-02 -7.3453463613986969e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1704 -1.2877609580755234e-02</internalNodes>
-          <leafValues>
-            1.1867459863424301e-01 -8.1963732838630676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1705 2.2134140133857727e-02</internalNodes>
-          <leafValues>
-            -3.8634710013866425e-02 2.0064100623130798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1706 -1.4158019796013832e-02</internalNodes>
-          <leafValues>
-            -1.3553419709205627e-01 2.2455710917711258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1707 3.5068059805780649e-03</internalNodes>
-          <leafValues>
-            4.1640508919954300e-02 -1.7104309797286987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1708 3.4302179701626301e-03</internalNodes>
-          <leafValues>
-            -3.8643669337034225e-02 1.3460919260978699e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1709 -2.5867659132927656e-03</internalNodes>
-          <leafValues>
-            -3.3378678560256958e-01 2.0394440740346909e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1710 -8.3075952716171741e-05</internalNodes>
-          <leafValues>
-            4.3186109513044357e-02 -3.6894761025905609e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1711 -2.9514790512621403e-03</internalNodes>
-          <leafValues>
-            1.6360920667648315e-01 -4.0991440415382385e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1712 -6.6972076892852783e-02</internalNodes>
-          <leafValues>
-            7.9344272613525391e-02 -1.7339119687676430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1713 -8.7736167013645172e-02</internalNodes>
-          <leafValues>
-            -2.7998620271682739e-01 2.3209020495414734e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1714 2.8925359249114990e-02</internalNodes>
-          <leafValues>
-            -3.2643690705299377e-02 6.9175571203231812e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1715 1.3697390444576740e-02</internalNodes>
-          <leafValues>
-            -3.4412618726491928e-02 1.8311390280723572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1716 -5.0847078673541546e-03</internalNodes>
-          <leafValues>
-            9.3848191201686859e-02 -4.2314790189266205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1717 3.8608049508184195e-03</internalNodes>
-          <leafValues>
-            -8.7915137410163879e-02 7.9263538122177124e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1718 1.0344120115041733e-01</internalNodes>
-          <leafValues>
-            1.4294220134615898e-02 -1.7824479937553406e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1719 5.3322589956223965e-03</internalNodes>
-          <leafValues>
-            -1.9811069965362549e-01 3.3467840403318405e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1720 2.4972399696707726e-02</internalNodes>
-          <leafValues>
-            -2.9970880597829819e-02 2.5031089782714844e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1721 8.0840502050705254e-05</internalNodes>
-          <leafValues>
-            -8.1262156367301941e-02 7.6767727732658386e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1722 -9.6944597316905856e-05</internalNodes>
-          <leafValues>
-            6.8264253437519073e-02 -4.7088030725717545e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1723 1.6829340020194650e-03</internalNodes>
-          <leafValues>
-            3.8623999804258347e-02 -1.6512230038642883e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1724 2.5296229869127274e-02</internalNodes>
-          <leafValues>
-            2.4244319647550583e-03 -4.9479418992996216e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1725 7.7065881341695786e-03</internalNodes>
-          <leafValues>
-            -4.0091071277856827e-02 1.7837360501289368e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1726 -6.3551932573318481e-02</internalNodes>
-          <leafValues>
-            -9.6359908580780029e-01 1.2983690248802304e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1727 1.2043629772961140e-02</internalNodes>
-          <leafValues>
-            3.2327480614185333e-02 -2.0570349693298340e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1728 -5.1777001470327377e-02</internalNodes>
-          <leafValues>
-            1.2718230485916138e-01 -2.5768250226974487e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1729 -5.2279248833656311e-02</internalNodes>
-          <leafValues>
-            5.9088861942291260e-01 -1.0696710087358952e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1730 -2.8587870765477419e-03</internalNodes>
-          <leafValues>
-            -2.1566559374332428e-01 2.1160630509257317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1731 -2.2894500289112329e-03</internalNodes>
-          <leafValues>
-            1.4047910273075104e-01 -4.5665130019187927e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1732 4.4600428082048893e-03</internalNodes>
-          <leafValues>
-            4.1558738797903061e-02 -1.1571829766035080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1733 -2.5135470554232597e-02</internalNodes>
-          <leafValues>
-            3.2584500312805176e-01 -1.9654629752039909e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1734 -4.1408590041100979e-03</internalNodes>
-          <leafValues>
-            -2.4931840598583221e-01 2.4890620261430740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1735 2.5323050096631050e-02</internalNodes>
-          <leafValues>
-            -4.0092781186103821e-02 1.6539059579372406e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1736 -3.0261930078268051e-03</internalNodes>
-          <leafValues>
-            1.3259239494800568e-01 -3.6744181066751480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1737 -2.0923390984535217e-03</internalNodes>
-          <leafValues>
-            -2.3182089626789093e-01 2.6503330096602440e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1738 1.1389939754735678e-04</internalNodes>
-          <leafValues>
-            -8.6492210626602173e-02 3.3153928816318512e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1739 4.1002789512276649e-03</internalNodes>
-          <leafValues>
-            2.8531620278954506e-02 -1.8766659498214722e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1740 -1.0652170021785423e-04</internalNodes>
-          <leafValues>
-            7.3864407837390900e-02 -1.0641259700059891e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1741 -1.1209140211576596e-04</internalNodes>
-          <leafValues>
-            7.4941687285900116e-02 -7.3481239378452301e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1742 -1.0086740076076239e-04</internalNodes>
-          <leafValues>
-            5.8873329311609268e-02 -5.0781998783349991e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1743 8.7035987235140055e-05</internalNodes>
-          <leafValues>
-            -6.9829471409320831e-02 8.2421161234378815e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1744 9.9490047432482243e-05</internalNodes>
-          <leafValues>
-            -5.0873178988695145e-02 6.2739193439483643e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1745 -9.9564917036332190e-05</internalNodes>
-          <leafValues>
-            9.5691867172718048e-02 -8.1678442656993866e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1746 3.5038128495216370e-02</internalNodes>
-          <leafValues>
-            2.4704539682716131e-03 -7.5103992223739624e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1747 -2.2841310128569603e-02</internalNodes>
-          <leafValues>
-            -3.8842248916625977e-01 1.2580679729580879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1748 -1.0086740076076239e-04</internalNodes>
-          <leafValues>
-            4.8513848334550858e-02 -4.4357851147651672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1749 8.7035987235140055e-05</internalNodes>
-          <leafValues>
-            -6.9275371730327606e-02 8.0701768398284912e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1750 8.4506031125783920e-03</internalNodes>
-          <leafValues>
-            2.8818279504776001e-02 -2.3520529270172119e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1751 3.3874511718750000e-02</internalNodes>
-          <leafValues>
-            -1.8710069358348846e-02 2.9156479239463806e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1752 3.0527070164680481e-02</internalNodes>
-          <leafValues>
-            2.8566541150212288e-03 -6.2721562385559082e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1753 4.5102681033313274e-03</internalNodes>
-          <leafValues>
-            -2.1763099357485771e-02 2.4781370162963867e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1754 -1.1711950413882732e-02</internalNodes>
-          <leafValues>
-            -8.2332722842693329e-02 7.1632838808000088e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1755 -1.9293600693345070e-02</internalNodes>
-          <leafValues>
-            -5.4533201456069946e-01 9.4053568318486214e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1756 -2.7695020660758018e-02</internalNodes>
-          <leafValues>
-            1.2569870054721832e-01 -2.4778019636869431e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1757 6.4738709479570389e-03</internalNodes>
-          <leafValues>
-            -4.0420930832624435e-02 1.3924980163574219e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1758 8.3701964467763901e-03</internalNodes>
-          <leafValues>
-            2.1314760670065880e-02 -1.3580240309238434e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1759 9.5793809741735458e-03</internalNodes>
-          <leafValues>
-            1.0532050393521786e-02 -4.6821591258049011e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1760 8.8913729996420443e-05</internalNodes>
-          <leafValues>
-            -2.6148770004510880e-02 6.7171059548854828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1761 -7.8428974375128746e-03</internalNodes>
-          <leafValues>
-            1.4042629301548004e-01 -4.0453571826219559e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1762 -1.5551749616861343e-02</internalNodes>
-          <leafValues>
-            -2.3723240196704865e-01 8.9765731245279312e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1763 -1.0940689593553543e-02</internalNodes>
-          <leafValues>
-            -2.4828870594501495e-01 2.1254500374197960e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1764 1.3340170262381434e-03</internalNodes>
-          <leafValues>
-            5.1965519785881042e-02 -2.4966360628604889e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1765 -3.9200708270072937e-03</internalNodes>
-          <leafValues>
-            2.1566860377788544e-01 -2.9206639155745506e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1766 -8.4352102130651474e-03</internalNodes>
-          <leafValues>
-            1.3894349336624146e-01 -2.7564799413084984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1767 1.0151269816560671e-04</internalNodes>
-          <leafValues>
-            -7.4789039790630341e-02 7.8852757811546326e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1768 1.1394869943615049e-04</internalNodes>
-          <leafValues>
-            -3.3959168940782547e-02 4.0015239268541336e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1769 -1.0446170199429616e-04</internalNodes>
-          <leafValues>
-            9.3367688357830048e-02 -7.0703469216823578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1770 7.1699619293212891e-02</internalNodes>
-          <leafValues>
-            2.0074559375643730e-02 -2.8401699662208557e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1771 7.6136142015457153e-02</internalNodes>
-          <leafValues>
-            -1.8674589693546295e-02 3.4351688623428345e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1772 -1.0139370337128639e-02</internalNodes>
-          <leafValues>
-            7.9048253595829010e-02 -7.6241552829742432e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1773 -1.1787709780037403e-02</internalNodes>
-          <leafValues>
-            -3.8687211275100708e-01 1.5032519586384296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1774 -1.1715809814631939e-03</internalNodes>
-          <leafValues>
-            -1.2566329538822174e-01 4.2748369276523590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1775 -1.1624010221567005e-04</internalNodes>
-          <leafValues>
-            7.7757306396961212e-02 -7.0283323526382446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1776 -4.0296189486980438e-02</internalNodes>
-          <leafValues>
-            4.0789419412612915e-01 -2.4684509262442589e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1777 -2.0148590207099915e-02</internalNodes>
-          <leafValues>
-            1.6085879504680634e-01 -3.7873048335313797e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1778 -9.9596334621310234e-03</internalNodes>
-          <leafValues>
-            4.6971559524536133e-02 -5.5278468877077103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1779 1.0458829812705517e-02</internalNodes>
-          <leafValues>
-            6.4418478868901730e-03 -7.1921861171722412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1780 -8.3341188728809357e-03</internalNodes>
-          <leafValues>
-            5.9552740305662155e-02 -1.6490520909428596e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1781 6.4220251515507698e-03</internalNodes>
-          <leafValues>
-            -3.1288038939237595e-02 1.6086129844188690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1782 -1.4171390235424042e-01</internalNodes>
-          <leafValues>
-            -4.8521599173545837e-01 4.3316078372299671e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1783 -9.2059485614299774e-03</internalNodes>
-          <leafValues>
-            -1.3737039268016815e-01 3.9314210414886475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1784 -1.1828100308775902e-02</internalNodes>
-          <leafValues>
-            -5.6232619285583496e-01 1.8052730010822415e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1785 -2.6902719400823116e-03</internalNodes>
-          <leafValues>
-            -2.2296780347824097e-01 2.3458529263734818e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1786 1.6899820417165756e-02</internalNodes>
-          <leafValues>
-            -2.2523698862642050e-03 3.2749548554420471e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1787 6.6508129239082336e-03</internalNodes>
-          <leafValues>
-            -2.2151440382003784e-02 2.6804810762405396e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1788 -1.1253960430622101e-02</internalNodes>
-          <leafValues>
-            -2.1269169449806213e-01 1.9085729494690895e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1789 8.1370659172534943e-03</internalNodes>
-          <leafValues>
-            1.9186450168490410e-02 -2.7125069499015808e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1790 1.8258720636367798e-02</internalNodes>
-          <leafValues>
-            -2.0849399268627167e-02 1.6397699713706970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1791 -7.3184021748602390e-03</internalNodes>
-          <leafValues>
-            1.1440680176019669e-01 -4.5136548578739166e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1792 7.0838169194757938e-03</internalNodes>
-          <leafValues>
-            -3.0573329329490662e-01 1.5363070182502270e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1793 7.9824047861620784e-04</internalNodes>
-          <leafValues>
-            5.4806288331747055e-02 -9.6648342907428741e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1794 3.8189259357750416e-03</internalNodes>
-          <leafValues>
-            -2.4906789883971214e-02 1.7047740519046783e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1795 -9.7243173513561487e-05</internalNodes>
-          <leafValues>
-            9.7341060638427734e-02 -5.9142779558897018e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1796 3.8480389863252640e-02</internalNodes>
-          <leafValues>
-            -6.9969161413609982e-03 1.1771100014448166e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1797 -1.6899229958653450e-02</internalNodes>
-          <leafValues>
-            7.8709267079830170e-02 -8.0960407853126526e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1798 3.4140020608901978e-02</internalNodes>
-          <leafValues>
-            2.9647560790181160e-02 -2.1153970062732697e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1799 -1.3483889633789659e-03</internalNodes>
-          <leafValues>
-            1.2221589684486389e-01 -5.2371580153703690e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1800 -4.5433178544044495e-02</internalNodes>
-          <leafValues>
-            9.3226648867130280e-02 -2.4248609319329262e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1801 -9.8451746453065425e-05</internalNodes>
-          <leafValues>
-            6.5616242587566376e-02 -7.7497042715549469e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1802 9.4870656728744507e-02</internalNodes>
-          <leafValues>
-            -6.5743089653551579e-03 2.4361729621887207e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1803 -4.5803082175552845e-03</internalNodes>
-          <leafValues>
-            6.4869597554206848e-02 -8.1663407385349274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1804 7.2096623480319977e-02</internalNodes>
-          <leafValues>
-            -1.3442070223391056e-02 1.4696159958839417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1805 -8.6482256650924683e-02</internalNodes>
-          <leafValues>
-            -2.6061370968818665e-01 2.4327959865331650e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1806 -3.6125909537076950e-02</internalNodes>
-          <leafValues>
-            7.1490518748760223e-02 -6.7800052464008331e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1807 -7.6352730393409729e-02</internalNodes>
-          <leafValues>
-            1.3374680280685425e-01 -5.0326138734817505e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1808 -1.0973890312016010e-02</internalNodes>
-          <leafValues>
-            -6.9340631365776062e-02 1.5405960381031036e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1809 1.4667320251464844e-01</internalNodes>
-          <leafValues>
-            1.3563389889895916e-02 -4.0459880232810974e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1810 1.2397590093314648e-02</internalNodes>
-          <leafValues>
-            1.8343500792980194e-02 -1.4745520055294037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1811 -4.3075408786535263e-02</internalNodes>
-          <leafValues>
-            -3.5041698813438416e-01 1.3814290054142475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1812 -3.6940488964319229e-02</internalNodes>
-          <leafValues>
-            -7.8505232930183411e-02 3.4940339624881744e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1813 -1.3126240670681000e-01</internalNodes>
-          <leafValues>
-            -4.4067218899726868e-01 1.2085669673979282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1814 -4.9558010697364807e-01</internalNodes>
-          <leafValues>
-            -3.1593188643455505e-01 1.4849360100924969e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1815 -2.4269169662147760e-03</internalNodes>
-          <leafValues>
-            -2.4598549306392670e-01 2.1273959428071976e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1816 -6.1519298469647765e-04</internalNodes>
-          <leafValues>
-            -1.1089760065078735e-01 5.2152808755636215e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1817 3.3521879464387894e-02</internalNodes>
-          <leafValues>
-            -1.4474649913609028e-02 3.3576649427413940e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1818 -4.4954858720302582e-02</internalNodes>
-          <leafValues>
-            -4.7776260972023010e-01 2.3775880690664053e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1819 -9.6803857013583183e-03</internalNodes>
-          <leafValues>
-            -1.3491189479827881e-01 3.7101969122886658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1820 -1.5080680139362812e-02</internalNodes>
-          <leafValues>
-            1.4766040444374084e-01 -1.4693359844386578e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1821 -7.0486129261553288e-03</internalNodes>
-          <leafValues>
-            1.2857760488986969e-01 -3.8553401827812195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1822 1.0608400218188763e-02</internalNodes>
-          <leafValues>
-            -6.4019598066806793e-02 7.8001968562602997e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1823 -5.9643429704010487e-03</internalNodes>
-          <leafValues>
-            6.9554768502712250e-02 -8.1943526864051819e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1824 3.9288301020860672e-02</internalNodes>
-          <leafValues>
-            6.0737589374184608e-03 -1.7827449738979340e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1825 -1.5277069993317127e-02</internalNodes>
-          <leafValues>
-            1.2987169623374939e-01 -4.5128051191568375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1826 9.2299269454088062e-05</internalNodes>
-          <leafValues>
-            -5.5158708244562149e-02 7.2173222899436951e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1827 2.4077570438385010e-01</internalNodes>
-          <leafValues>
-            1.3051790185272694e-02 -3.7544038891792297e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1828 -8.2777936768252403e-05</internalNodes>
-          <leafValues>
-            8.7432913482189178e-02 -8.0448426306247711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1829 1.0664980072760954e-04</internalNodes>
-          <leafValues>
-            -6.8053416907787323e-02 7.9824432730674744e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1830 9.2299269454088062e-05</internalNodes>
-          <leafValues>
-            -5.7555299252271652e-02 7.4612356722354889e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1831 -8.7791820988059044e-05</internalNodes>
-          <leafValues>
-            8.9770622551441193e-02 -7.8726790845394135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1832 -9.7666241344995797e-05</internalNodes>
-          <leafValues>
-            7.9511262476444244e-02 -8.0778427422046661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1833 1.5842399443499744e-04</internalNodes>
-          <leafValues>
-            -6.3730709254741669e-02 8.8729366660118103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1834 1.2284370313864201e-04</internalNodes>
-          <leafValues>
-            -5.6088779121637344e-02 8.1273712217807770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1835 -1.1712549894582480e-04</internalNodes>
-          <leafValues>
-            7.5557589530944824e-02 -7.6586730778217316e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1836 1.0328610427677631e-02</internalNodes>
-          <leafValues>
-            1.0152160190045834e-02 -2.8533908724784851e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1837 2.9327110387384892e-03</internalNodes>
-          <leafValues>
-            3.2252810895442963e-02 -1.5635579824447632e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1838 -1.0308229684596881e-04</internalNodes>
-          <leafValues>
-            5.0609830766916275e-02 -5.6346200406551361e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1839 1.0124980326509103e-04</internalNodes>
-          <leafValues>
-            -6.1613030731678009e-02 8.9073821902275085e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1840 3.8937058299779892e-02</internalNodes>
-          <leafValues>
-            2.0891619846224785e-02 -1.2963040173053741e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1841 1.1204339563846588e-02</internalNodes>
-          <leafValues>
-            -2.8574090451002121e-02 1.7617300152778625e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1842 1.0314460098743439e-01</internalNodes>
-          <leafValues>
-            3.9013950154185295e-03 -4.3666309118270874e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1843 -1.1191029846668243e-01</internalNodes>
-          <leafValues>
-            3.3865529298782349e-01 -1.4155720360577106e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1844 -2.6280559599399567e-02</internalNodes>
-          <leafValues>
-            -8.9043527841567993e-02 1.8448470160365105e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>317</maxWeakCount>
-      <stageThreshold>-1.3818249702453613e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1845 -1.2676210142672062e-02</internalNodes>
-          <leafValues>
-            2.0237310230731964e-01 -2.5077709555625916e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1846 -4.6319760382175446e-02</internalNodes>
-          <leafValues>
-            2.1999239921569824e-01 -1.6146729886531830e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1847 -3.5081539303064346e-02</internalNodes>
-          <leafValues>
-            1.5923239290714264e-01 -2.1780499815940857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1848 -1.8382079899311066e-02</internalNodes>
-          <leafValues>
-            2.5103780627250671e-01 -3.1736700329929590e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1849 -7.4837259016931057e-03</internalNodes>
-          <leafValues>
-            1.5708750486373901e-01 -1.2671829760074615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1850 4.6564780175685883e-02</internalNodes>
-          <leafValues>
-            -2.2000789642333984e-01 5.6889738887548447e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1851 -2.0530119538307190e-02</internalNodes>
-          <leafValues>
-            2.2484280169010162e-01 -8.0766998231410980e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1852 -2.1643849089741707e-02</internalNodes>
-          <leafValues>
-            1.9534820318222046e-01 -7.6146677136421204e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1853 -3.3336980268359184e-03</internalNodes>
-          <leafValues>
-            9.7043372690677643e-02 -2.0862129330635071e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1854 2.7746830135583878e-02</internalNodes>
-          <leafValues>
-            -4.2685609310865402e-02 1.9736699759960175e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1855 3.1199149787425995e-02</internalNodes>
-          <leafValues>
-            -8.8123418390750885e-02 1.6084210574626923e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1856 -1.4883769676089287e-02</internalNodes>
-          <leafValues>
-            1.2884040176868439e-01 -4.9883481115102768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1857 -1.2498069554567337e-02</internalNodes>
-          <leafValues>
-            1.9557100534439087e-01 -7.3339052498340607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1858 6.8398728035390377e-03</internalNodes>
-          <leafValues>
-            -1.9100619852542877e-01 3.0017739161849022e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1859 1.6698269173502922e-02</internalNodes>
-          <leafValues>
-            -6.6535621881484985e-02 2.4306890368461609e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1860 -1.3585180044174194e-02</internalNodes>
-          <leafValues>
-            -3.1157851219177246e-01 3.0332250520586967e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1861 -1.6012180596590042e-02</internalNodes>
-          <leafValues>
-            -3.8150539994239807e-01 2.9990119859576225e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1862 2.4959780275821686e-02</internalNodes>
-          <leafValues>
-            1.7127040773630142e-02 -1.7174740135669708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1863 -6.2679812312126160e-02</internalNodes>
-          <leafValues>
-            -2.4782620370388031e-01 5.0681248307228088e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1864 -5.1468160003423691e-02</internalNodes>
-          <leafValues>
-            -6.0602962970733643e-01 2.3179119452834129e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1865 1.7415819689631462e-02</internalNodes>
-          <leafValues>
-            3.3250451087951660e-02 -3.6394399404525757e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1866 3.3267650753259659e-02</internalNodes>
-          <leafValues>
-            -5.9090301394462585e-02 2.3938019573688507e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1867 -1.0759649740066379e-04</internalNodes>
-          <leafValues>
-            6.7025236785411835e-02 -1.7393949627876282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1868 -1.1119269765913486e-02</internalNodes>
-          <leafValues>
-            -2.1026720106601715e-01 1.6025310382246971e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1869 -8.6540812626481056e-03</internalNodes>
-          <leafValues>
-            -2.9001379013061523e-01 3.4559149295091629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1870 1.0427879897179082e-04</internalNodes>
-          <leafValues>
-            -1.3615639507770538e-01 5.5320408195257187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1871 -1.4959470368921757e-02</internalNodes>
-          <leafValues>
-            -2.8106829524040222e-01 3.3888410776853561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1872 -1.5031349658966064e-01</internalNodes>
-          <leafValues>
-            -1.0209769755601883e-01 9.4559686258435249e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1873 -2.0292310044169426e-02</internalNodes>
-          <leafValues>
-            -3.6912149190902710e-01 2.5728639215230942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1874 1.6227319836616516e-02</internalNodes>
-          <leafValues>
-            6.1225090175867081e-03 -4.6356171369552612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1875 1.2045660056173801e-02</internalNodes>
-          <leafValues>
-            3.1531188637018204e-02 -2.9530370235443115e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1876 9.5706343650817871e-02</internalNodes>
-          <leafValues>
-            9.0816244482994080e-03 -6.9083817303180695e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1877 -1.4548900723457336e-01</internalNodes>
-          <leafValues>
-            -3.1886878609657288e-01 3.4880429506301880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1878 1.1059490032494068e-02</internalNodes>
-          <leafValues>
-            3.8989599794149399e-02 -1.3711850345134735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1879 -5.6998720392584801e-03</internalNodes>
-          <leafValues>
-            -3.5794290900230408e-01 2.6885839179158211e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1880 -4.9371081404387951e-03</internalNodes>
-          <leafValues>
-            1.0142619907855988e-01 -5.1279809325933456e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1881 -1.4712589792907238e-02</internalNodes>
-          <leafValues>
-            1.2495979666709900e-01 -7.7691748738288879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1882 1.1282210238277912e-02</internalNodes>
-          <leafValues>
-            -3.3828750252723694e-02 1.4979380369186401e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1883 -9.6910931169986725e-03</internalNodes>
-          <leafValues>
-            2.3743079602718353e-01 -4.8856690526008606e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1884 -1.7229679971933365e-02</internalNodes>
-          <leafValues>
-            -5.6515389680862427e-01 8.7145604193210602e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1885 5.6609478779137135e-03</internalNodes>
-          <leafValues>
-            -6.0676008462905884e-02 1.5271340310573578e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1886 -5.3604390472173691e-02</internalNodes>
-          <leafValues>
-            -2.1472039818763733e-01 1.4890110120177269e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1887 -1.0153600014746189e-02</internalNodes>
-          <leafValues>
-            -3.1097480654716492e-01 2.8160639107227325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1888 -1.7072910442948341e-02</internalNodes>
-          <leafValues>
-            7.1882233023643494e-02 -5.2844271063804626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1889 -1.0728809982538223e-02</internalNodes>
-          <leafValues>
-            1.6389510035514832e-01 -5.4277900606393814e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1890 1.0714929550886154e-02</internalNodes>
-          <leafValues>
-            -4.3529260903596878e-02 1.5492570400238037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1891 -9.1774649918079376e-03</internalNodes>
-          <leafValues>
-            8.2661621272563934e-02 -1.1048959940671921e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1892 -5.1653548143804073e-03</internalNodes>
-          <leafValues>
-            4.6839110553264618e-02 -5.0071209669113159e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1893 1.3472570106387138e-02</internalNodes>
-          <leafValues>
-            2.3994479328393936e-02 -3.6207410693168640e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1894 9.8625328973866999e-05</internalNodes>
-          <leafValues>
-            -7.2403706610202789e-02 8.5279501974582672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1895 -3.8795128930360079e-03</internalNodes>
-          <leafValues>
-            9.9527172744274139e-02 -9.3315653502941132e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1896 2.4870259687304497e-02</internalNodes>
-          <leafValues>
-            1.6243930906057358e-02 -4.6679219603538513e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1897 1.3287420570850372e-01</internalNodes>
-          <leafValues>
-            2.9302369803190231e-02 -2.8217709064483643e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1898 1.3053320348262787e-02</internalNodes>
-          <leafValues>
-            -2.2584149613976479e-02 1.9151739776134491e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1899 -2.3439459037035704e-03</internalNodes>
-          <leafValues>
-            1.3174580037593842e-01 -7.1855299174785614e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1900 -4.3457929044961929e-02</internalNodes>
-          <leafValues>
-            6.9369621574878693e-02 -2.2885309532284737e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1901 -5.9775430709123611e-02</internalNodes>
-          <leafValues>
-            2.3593389987945557e-01 -3.9723061025142670e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1902 -6.1264610849320889e-03</internalNodes>
-          <leafValues>
-            -2.1994990110397339e-01 2.2333640605211258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1903 -2.2975069005042315e-03</internalNodes>
-          <leafValues>
-            1.1488830298185349e-01 -8.4905907511711121e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1904 3.2943069934844971e-02</internalNodes>
-          <leafValues>
-            8.4422080544754863e-04 -8.7972801923751831e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1905 -1.9385489868000150e-03</internalNodes>
-          <leafValues>
-            8.5967347025871277e-02 -1.1247129738330841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1906 -2.1609459072351456e-03</internalNodes>
-          <leafValues>
-            7.8462250530719757e-02 -3.7393838167190552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1907 -9.0928059071302414e-03</internalNodes>
-          <leafValues>
-            -4.1091561317443848e-01 1.8252879381179810e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1908 -1.6027869284152985e-01</internalNodes>
-          <leafValues>
-            -2.2541759908199310e-01 1.5782350674271584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1909 -4.9950089305639267e-02</internalNodes>
-          <leafValues>
-            -1.8641009926795959e-01 4.2277488857507706e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1910 -1.0969909839332104e-02</internalNodes>
-          <leafValues>
-            -4.1804128885269165e-01 1.6149029135704041e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1911 9.3183261924423277e-05</internalNodes>
-          <leafValues>
-            -7.6907746493816376e-02 1.0072469711303711e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1912 1.3265410438179970e-02</internalNodes>
-          <leafValues>
-            1.9543310627341270e-02 -1.7777380347251892e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1913 -1.2569909915328026e-02</internalNodes>
-          <leafValues>
-            -2.1007700264453888e-01 3.5157121717929840e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1914 9.8762623965740204e-03</internalNodes>
-          <leafValues>
-            6.7626000382006168e-03 -3.0761849880218506e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1915 -2.1076570264995098e-03</internalNodes>
-          <leafValues>
-            1.3363209366798401e-01 -5.7092700153589249e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1916 -7.1060168556869030e-04</internalNodes>
-          <leafValues>
-            -1.7669269442558289e-01 6.5393269062042236e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1917 -9.2764664441347122e-03</internalNodes>
-          <leafValues>
-            -2.4678149819374084e-01 2.7610789984464645e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1918 6.5380721352994442e-03</internalNodes>
-          <leafValues>
-            -2.3361699655652046e-02 2.5770819187164307e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1919 -1.1298989877104759e-02</internalNodes>
-          <leafValues>
-            1.5731829404830933e-01 -4.3780930340290070e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1920 -2.8048140928149223e-02</internalNodes>
-          <leafValues>
-            -3.9991301298141479e-01 9.0252067893743515e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1921 1.1714899912476540e-02</internalNodes>
-          <leafValues>
-            2.2580929100513458e-02 -3.1374511122703552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1922 -1.2955210695508868e-04</internalNodes>
-          <leafValues>
-            3.7720758467912674e-02 -6.0533870011568069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1923 -3.7807179614901543e-03</internalNodes>
-          <leafValues>
-            1.3487710058689117e-01 -5.6583140045404434e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1924 -4.9128020182251930e-03</internalNodes>
-          <leafValues>
-            1.4564900100231171e-01 -2.7835259214043617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1925 -1.6391910612583160e-02</internalNodes>
-          <leafValues>
-            -6.4010322093963623e-01 1.1727060191333294e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1926 -1.1464639566838741e-02</internalNodes>
-          <leafValues>
-            3.9367951452732086e-02 -3.3033378422260284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1927 -3.4916009753942490e-02</internalNodes>
-          <leafValues>
-            -3.3986571431159973e-01 2.0481580868363380e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1928 4.9870118498802185e-02</internalNodes>
-          <leafValues>
-            -5.0045821815729141e-02 4.6599239110946655e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1929 -1.0137989738723263e-04</internalNodes>
-          <leafValues>
-            8.6516477167606354e-02 -8.1374593079090118e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1930 -8.1614796072244644e-03</internalNodes>
-          <leafValues>
-            1.2585890293121338e-01 -2.4253010749816895e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1931 -5.1362808793783188e-02</internalNodes>
-          <leafValues>
-            1.2383320182561874e-01 -5.7537298649549484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1932 -9.2184888198971748e-03</internalNodes>
-          <leafValues>
-            1.3315090537071228e-01 -6.2671236693859100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1933 5.9735208749771118e-02</internalNodes>
-          <leafValues>
-            1.9387029111385345e-02 -3.7452590465545654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1934 -3.7147789262235165e-03</internalNodes>
-          <leafValues>
-            1.3588359951972961e-01 -1.1573229730129242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1935 -1.6745850443840027e-03</internalNodes>
-          <leafValues>
-            -2.1437530219554901e-01 3.1279198825359344e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1936 2.7367400005459785e-02</internalNodes>
-          <leafValues>
-            6.2164650298655033e-03 -1.6582269966602325e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1937 -5.6425300426781178e-03</internalNodes>
-          <leafValues>
-            8.9943163096904755e-02 -7.7249430119991302e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1938 -4.4944159686565399e-02</internalNodes>
-          <leafValues>
-            1.0177309811115265e-01 -7.9409472644329071e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1939 -1.2397750280797482e-02</internalNodes>
-          <leafValues>
-            -2.5522980093955994e-01 2.5932550430297852e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1940 1.3257490098476410e-01</internalNodes>
-          <leafValues>
-            -6.0667068464681506e-04 -9.0462738275527954e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1941 -4.7687850892543793e-02</internalNodes>
-          <leafValues>
-            -2.9634040594100952e-01 2.2060779854655266e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1942 -1.3438980386126786e-04</internalNodes>
-          <leafValues>
-            3.4807950258255005e-02 -2.3007700219750404e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1943 -4.7759748995304108e-02</internalNodes>
-          <leafValues>
-            3.2043048739433289e-01 -2.0720070227980614e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1944 8.4569696336984634e-03</internalNodes>
-          <leafValues>
-            1.6900449991226196e-02 -2.3434109985828400e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1945 -9.0884640812873840e-03</internalNodes>
-          <leafValues>
-            -2.7401408553123474e-01 2.3920679464936256e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1946 1.1316059681121260e-04</internalNodes>
-          <leafValues>
-            -7.1908891201019287e-02 6.4337499439716339e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1947 -2.2978619672358036e-03</internalNodes>
-          <leafValues>
-            1.4139309525489807e-01 -4.6627011150121689e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1948 -7.0250302087515593e-05</internalNodes>
-          <leafValues>
-            4.3631881475448608e-02 -8.9844681322574615e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1949 -2.4793320335447788e-03</internalNodes>
-          <leafValues>
-            1.1531940102577209e-01 -5.4794210940599442e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1950 -2.3779749870300293e-02</internalNodes>
-          <leafValues>
-            -8.9623087644577026e-01 8.2168419612571597e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1951 1.5105960192158818e-03</internalNodes>
-          <leafValues>
-            -4.6251200139522552e-02 1.4637500047683716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1952 -1.9929770380258560e-02</internalNodes>
-          <leafValues>
-            1.0345499962568283e-01 -6.9326370954513550e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1953 5.6873750872910023e-03</internalNodes>
-          <leafValues>
-            1.5714770182967186e-02 -4.3551269173622131e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1954 2.5528179481625557e-02</internalNodes>
-          <leafValues>
-            1.7960410565137863e-02 -1.0271559655666351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1955 6.2439180910587311e-03</internalNodes>
-          <leafValues>
-            -5.0889659672975540e-02 1.2102349847555161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1956 -3.8433890789747238e-02</internalNodes>
-          <leafValues>
-            -1.1351989954710007e-01 1.1109850369393826e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1957 -1.1655789799988270e-02</internalNodes>
-          <leafValues>
-            1.8188430368900299e-01 -3.4386049956083298e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1958 1.7019029706716537e-02</internalNodes>
-          <leafValues>
-            -2.8822610154747963e-02 1.7922890186309814e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1959 -2.1281840279698372e-02</internalNodes>
-          <leafValues>
-            7.9361222684383392e-02 -1.4837169647216797e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1960 6.4630597829818726e-02</internalNodes>
-          <leafValues>
-            -8.3243446424603462e-03 3.4404671192169189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1961 -2.0165389403700829e-02</internalNodes>
-          <leafValues>
-            9.9575139582157135e-02 -6.4981013536453247e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1962 -4.8298938199877739e-03</internalNodes>
-          <leafValues>
-            3.9893500506877899e-02 -4.0078371763229370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1963 -3.3053491264581680e-02</internalNodes>
-          <leafValues>
-            1.1697690188884735e-01 -5.5427171289920807e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1964 6.2406919896602631e-02</internalNodes>
-          <leafValues>
-            -2.2736979648470879e-02 3.6325179040431976e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1965 -6.1196450144052505e-02</internalNodes>
-          <leafValues>
-            1.9369029998779297e-01 -3.5640351474285126e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1966 1.0678559541702271e-02</internalNodes>
-          <leafValues>
-            1.6535019502043724e-02 -4.2336410284042358e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1967 1.6491359099745750e-02</internalNodes>
-          <leafValues>
-            -4.3294098228216171e-02 1.7356230318546295e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1968 -5.2192797884345055e-03</internalNodes>
-          <leafValues>
-            -4.0950641036033630e-01 2.0815720781683922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1969 3.7556931376457214e-02</internalNodes>
-          <leafValues>
-            -3.5021461546421051e-02 1.9875930249691010e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1970 1.1630539665929973e-04</internalNodes>
-          <leafValues>
-            -6.6101007163524628e-02 2.8246320784091949e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1971 -2.9590369667857885e-03</internalNodes>
-          <leafValues>
-            -2.3298619687557220e-01 2.6747660711407661e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1972 9.7334973514080048e-02</internalNodes>
-          <leafValues>
-            1.6407809453085065e-03 -5.2689087390899658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1973 9.4552114605903625e-03</internalNodes>
-          <leafValues>
-            -1.2956419587135315e-01 4.3152049183845520e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1974 -1.9573559984564781e-03</internalNodes>
-          <leafValues>
-            9.4022996723651886e-02 -5.0729468464851379e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1975 -1.9813209772109985e-02</internalNodes>
-          <leafValues>
-            -2.8099170327186584e-01 2.5431409478187561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1976 4.6183229424059391e-03</internalNodes>
-          <leafValues>
-            2.0152140408754349e-02 -2.8583228588104248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1977 -1.3847060035914183e-03</internalNodes>
-          <leafValues>
-            1.2452150136232376e-01 -4.8138331621885300e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1978 4.2347438633441925e-02</internalNodes>
-          <leafValues>
-            1.4238060452044010e-02 -1.4341959357261658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1979 -3.7257060408592224e-01</internalNodes>
-          <leafValues>
-            -3.1286910176277161e-01 1.8492879346013069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1980 -3.0691500753164291e-02</internalNodes>
-          <leafValues>
-            -4.1157820820808411e-01 1.0822709649801254e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1981 -1.6395879909396172e-02</internalNodes>
-          <leafValues>
-            1.4505170285701752e-01 -4.0790930390357971e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1982 -6.2989019788801670e-03</internalNodes>
-          <leafValues>
-            -4.1820481419563293e-01 1.2296830303966999e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1983 9.4060532748699188e-02</internalNodes>
-          <leafValues>
-            1.3523289933800697e-02 -3.6032849550247192e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1984 -3.2638560980558395e-02</internalNodes>
-          <leafValues>
-            8.1849083304405212e-02 -7.4722953140735626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1985 -1.4613750390708447e-02</internalNodes>
-          <leafValues>
-            -2.2184589505195618e-01 2.5819279253482819e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1986 -1.7758510075509548e-03</internalNodes>
-          <leafValues>
-            8.7858870625495911e-02 -2.7116740122437477e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1987 -3.7843519821763039e-03</internalNodes>
-          <leafValues>
-            -2.5046458840370178e-01 2.1436279639601707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1988 -6.0635298723354936e-04</internalNodes>
-          <leafValues>
-            -4.7731950879096985e-01 1.1409179866313934e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1989 1.0241969721391797e-04</internalNodes>
-          <leafValues>
-            -9.3447387218475342e-02 6.7655086517333984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1990 6.5193139016628265e-03</internalNodes>
-          <leafValues>
-            -1.4612539671361446e-02 2.0815970003604889e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1991 5.3755999542772770e-03</internalNodes>
-          <leafValues>
-            -3.8265600800514221e-02 1.9941569864749908e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1992 2.5083690416067839e-03</internalNodes>
-          <leafValues>
-            -3.9266299456357956e-02 4.1621260344982147e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1993 -6.1823232099413872e-03</internalNodes>
-          <leafValues>
-            1.0581050068140030e-01 -5.8252051472663879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1994 -1.7877219943329692e-03</internalNodes>
-          <leafValues>
-            1.5875810384750366e-01 -3.8672041147947311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1995 2.0424230024218559e-03</internalNodes>
-          <leafValues>
-            -1.2316930294036865e-01 4.7692388296127319e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1996 -7.9678567999508232e-05</internalNodes>
-          <leafValues>
-            5.8007881045341492e-02 -3.7209790199995041e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1997 -2.4312110617756844e-03</internalNodes>
-          <leafValues>
-            1.8218949437141418e-01 -3.1718999147415161e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1998 9.7082564607262611e-03</internalNodes>
-          <leafValues>
-            2.5093549862504005e-02 -2.1581520140171051e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1999 1.8651289865374565e-02</internalNodes>
-          <leafValues>
-            -5.6221790611743927e-02 1.0076929628849030e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2000 -4.3425198644399643e-02</internalNodes>
-          <leafValues>
-            -5.2580821514129639e-01 2.3139629047363997e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2001 9.8262643441557884e-03</internalNodes>
-          <leafValues>
-            2.8758440166711807e-02 -2.0458370447158813e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2002 -2.5310849305242300e-03</internalNodes>
-          <leafValues>
-            2.2459560632705688e-01 -4.7744251787662506e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2003 -9.8680997325573117e-05</internalNodes>
-          <leafValues>
-            5.2503999322652817e-02 -1.1616130173206329e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2004 8.7780077592469752e-05</internalNodes>
-          <leafValues>
-            -5.7921901345252991e-02 5.2974458783864975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2005 -2.0101759582757950e-03</internalNodes>
-          <leafValues>
-            1.3039940595626831e-01 -4.1645880788564682e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2006 -6.9859880022704601e-03</internalNodes>
-          <leafValues>
-            -2.5740739703178406e-01 2.2923920303583145e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2007 -8.5653923451900482e-03</internalNodes>
-          <leafValues>
-            -3.4816130995750427e-01 1.6321830451488495e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2008 4.1130301542580128e-03</internalNodes>
-          <leafValues>
-            -1.1193159967660904e-02 7.8239932656288147e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2009 -2.8649440035223961e-02</internalNodes>
-          <leafValues>
-            -2.4921450018882751e-01 2.3253569379448891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2010 -7.1668572723865509e-02</internalNodes>
-          <leafValues>
-            1.8234179913997650e-01 -3.2952211797237396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2011 2.0047359168529510e-02</internalNodes>
-          <leafValues>
-            3.4545011818408966e-02 -1.7593920230865479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2012 9.2730745673179626e-03</internalNodes>
-          <leafValues>
-            2.4312171153724194e-03 -3.6256709694862366e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2013 -1.3696910173166543e-04</internalNodes>
-          <leafValues>
-            5.3849659860134125e-02 -1.0452479869127274e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2014 -1.6431650146842003e-02</internalNodes>
-          <leafValues>
-            1.0723640024662018e-01 -2.3307560011744499e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2015 1.5543770045042038e-02</internalNodes>
-          <leafValues>
-            -6.2471259385347366e-02 1.2017949670553207e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2016 1.6755719482898712e-01</internalNodes>
-          <leafValues>
-            2.9874350875616074e-03 -2.5671449303627014e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2017 -1.0847680270671844e-01</internalNodes>
-          <leafValues>
-            3.7149819731712341e-01 -1.6100300475955009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2018 -3.6692418158054352e-02</internalNodes>
-          <leafValues>
-            1.0603889822959900e-01 -2.8071129694581032e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2019 -1.0187889635562897e-01</internalNodes>
-          <leafValues>
-            -5.4750579595565796e-01 1.0856229811906815e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2020 -2.3083990439772606e-02</internalNodes>
-          <leafValues>
-            -3.9017239212989807e-01 2.3198500275611877e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2021 1.1738779954612255e-02</internalNodes>
-          <leafValues>
-            1.7849219962954521e-02 -2.9607269167900085e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2022 1.1186770163476467e-02</internalNodes>
-          <leafValues>
-            1.7683990299701691e-02 -1.0949549823999405e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2023 1.3084909878671169e-02</internalNodes>
-          <leafValues>
-            -5.5493030697107315e-02 9.3764066696166992e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2024 -4.8294991254806519e-02</internalNodes>
-          <leafValues>
-            -1.0963620245456696e-01 6.0481518507003784e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2025 -1.2075870297849178e-02</internalNodes>
-          <leafValues>
-            6.8646393716335297e-02 -8.8205531239509583e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2026 2.2616419941186905e-02</internalNodes>
-          <leafValues>
-            -5.2717179059982300e-02 3.7717801332473755e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2027 2.9184659942984581e-02</internalNodes>
-          <leafValues>
-            -1.7316710203886032e-02 3.2407519221305847e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2028 5.6647129356861115e-02</internalNodes>
-          <leafValues>
-            1.4209809713065624e-02 -4.0311878919601440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2029 -6.0038570314645767e-02</internalNodes>
-          <leafValues>
-            6.3324189186096191e-01 -9.3253394588828087e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2030 -2.1041039377450943e-02</internalNodes>
-          <leafValues>
-            -7.0778012275695801e-02 1.0951139964163303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2031 1.0698719881474972e-02</internalNodes>
-          <leafValues>
-            3.0739499256014824e-02 -1.8623949587345123e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2032 -1.4163380255922675e-03</internalNodes>
-          <leafValues>
-            1.4207880198955536e-01 -5.6051291525363922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2033 1.9057249650359154e-02</internalNodes>
-          <leafValues>
-            1.1568720452487469e-02 -4.1893801093101501e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2034 2.4255400523543358e-02</internalNodes>
-          <leafValues>
-            -2.7422881126403809e-01 1.5305199660360813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2035 -1.6801659949123859e-03</internalNodes>
-          <leafValues>
-            1.2455579638481140e-01 -4.5174699276685715e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2036 -7.1042921626940370e-04</internalNodes>
-          <leafValues>
-            5.2189279347658157e-02 -3.7788871675729752e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2037 -9.6175346698146313e-05</internalNodes>
-          <leafValues>
-            8.0373562872409821e-02 -6.5977610647678375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2038 3.0253970623016357e-01</internalNodes>
-          <leafValues>
-            -6.4190649427473545e-03 2.8734558820724487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2039 -3.3847650885581970e-01</internalNodes>
-          <leafValues>
-            -2.9949620366096497e-01 1.9311109557747841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2040 1.8414769321680069e-02</internalNodes>
-          <leafValues>
-            4.1407728567719460e-03 -3.2009989023208618e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2041 2.0269309170544147e-03</internalNodes>
-          <leafValues>
-            3.8851920515298843e-02 -1.3650539517402649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2042 -2.6168529875576496e-03</internalNodes>
-          <leafValues>
-            2.1721449494361877e-01 -4.5792929828166962e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2043 -1.4506299339700490e-04</internalNodes>
-          <leafValues>
-            7.7357552945613861e-02 -7.0164747536182404e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2044 1.5293279429897666e-03</internalNodes>
-          <leafValues>
-            2.2826919332146645e-02 -6.4625710248947144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2045 9.2465557157993317e-02</internalNodes>
-          <leafValues>
-            -3.0449060723185539e-02 2.2376939654350281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2046 4.2030760087072849e-03</internalNodes>
-          <leafValues>
-            -6.8453937768936157e-02 6.1928309500217438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2047 8.0572906881570816e-05</internalNodes>
-          <leafValues>
-            -5.9534300118684769e-02 8.1452347338199615e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2048 1.1286319792270660e-01</internalNodes>
-          <leafValues>
-            -1.3413679553195834e-03 5.4813021421432495e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2049 -6.4409552142024040e-03</internalNodes>
-          <leafValues>
-            -1.8755680322647095e-01 2.6392029598355293e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2050 -1.0748989880084991e-02</internalNodes>
-          <leafValues>
-            1.2552680075168610e-01 -4.0465429425239563e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2051 -5.3139980882406235e-02</internalNodes>
-          <leafValues>
-            1.2461829930543900e-01 -4.1095100343227386e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2052 2.2604359313845634e-02</internalNodes>
-          <leafValues>
-            -1.7869070172309875e-02 2.4132210016250610e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2053 2.2205261047929525e-03</internalNodes>
-          <leafValues>
-            3.1968820840120316e-02 -1.6952280700206757e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2054 -3.9627980440855026e-03</internalNodes>
-          <leafValues>
-            3.8538839668035507e-02 -2.9197089374065399e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2055 -1.5152409672737122e-02</internalNodes>
-          <leafValues>
-            1.5154479444026947e-01 -3.3755920827388763e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2056 1.2909620068967342e-02</internalNodes>
-          <leafValues>
-            1.9307920709252357e-02 -2.6814758777618408e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2057 -5.0301581621170044e-02</internalNodes>
-          <leafValues>
-            2.6842170953750610e-01 -1.9832609221339226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2058 2.3144690692424774e-01</internalNodes>
-          <leafValues>
-            -4.4317539781332016e-02 1.1355269700288773e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2059 2.4806660413742065e-01</internalNodes>
-          <leafValues>
-            -3.6366160959005356e-02 1.5459740161895752e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2060 1.0751839727163315e-02</internalNodes>
-          <leafValues>
-            -5.6199159473180771e-02 9.1953150928020477e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2061 -1.0409940034151077e-01</internalNodes>
-          <leafValues>
-            2.6155480742454529e-01 -2.2073730826377869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2062 3.4987339749932289e-03</internalNodes>
-          <leafValues>
-            -3.4594438970088959e-02 5.2544221282005310e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2063 -1.8789369612932205e-02</internalNodes>
-          <leafValues>
-            1.4423690736293793e-01 -3.7627071142196655e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2064 2.3785369470715523e-02</internalNodes>
-          <leafValues>
-            -1.4142000116407871e-02 4.0588378906250000e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2065 -5.3594702482223511e-01</internalNodes>
-          <leafValues>
-            -3.1141081452369690e-01 1.6834039241075516e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2066 -9.9058146588504314e-05</internalNodes>
-          <leafValues>
-            1.1654440313577652e-01 -9.4845108687877655e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2067 5.1509789191186428e-03</internalNodes>
-          <leafValues>
-            2.4767279624938965e-02 -2.1172380447387695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2068 -2.4665810167789459e-02</internalNodes>
-          <leafValues>
-            8.9738540351390839e-02 -2.5230530649423599e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2069 -1.0207219747826457e-04</internalNodes>
-          <leafValues>
-            7.1243196725845337e-02 -6.9542892277240753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2070 8.9753637439571321e-05</internalNodes>
-          <leafValues>
-            -6.4138673245906830e-02 3.4588780254125595e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2071 7.5129319156985730e-05</internalNodes>
-          <leafValues>
-            -7.0998512208461761e-02 6.9298543035984039e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2072 1.2670209631323814e-02</internalNodes>
-          <leafValues>
-            1.9961479119956493e-03 -6.1854892969131470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2073 1.3350560038816184e-04</internalNodes>
-          <leafValues>
-            -9.3998126685619354e-02 6.0371071100234985e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2074 3.5089589655399323e-03</internalNodes>
-          <leafValues>
-            -4.3076660484075546e-02 6.9475613534450531e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2075 5.0673130899667740e-03</internalNodes>
-          <leafValues>
-            -5.1575150340795517e-02 1.2066970020532608e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2076 -4.9438390135765076e-01</internalNodes>
-          <leafValues>
-            -3.3594810962677002e-01 3.4810409415513277e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2077 3.1801950931549072e-01</internalNodes>
-          <leafValues>
-            -1.5378340147435665e-02 3.3919140696525574e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2078 -3.5130660980939865e-02</internalNodes>
-          <leafValues>
-            1.8598470091819763e-01 -1.8994120880961418e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2079 -1.0103350359713659e-04</internalNodes>
-          <leafValues>
-            5.9129860252141953e-02 -8.6535729467868805e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2080 -7.3789812624454498e-02</internalNodes>
-          <leafValues>
-            -1.8977540731430054e-01 3.4424799960106611e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2081 4.8484738916158676e-02</internalNodes>
-          <leafValues>
-            -1.9127920269966125e-02 3.3737879991531372e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2082 -3.2950159907341003e-01</internalNodes>
-          <leafValues>
-            -2.4671790003776550e-01 8.9904768392443657e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2083 5.1932130008935928e-02</internalNodes>
-          <leafValues>
-            2.9886350035667419e-02 -1.7665469646453857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2084 -4.7828998416662216e-02</internalNodes>
-          <leafValues>
-            1.3356339931488037e-01 -2.2263629361987114e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2085 6.8820808082818985e-03</internalNodes>
-          <leafValues>
-            2.6210820302367210e-02 -2.0100249350070953e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2086 7.0850020274519920e-03</internalNodes>
-          <leafValues>
-            7.2960550896823406e-03 -2.2371199727058411e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2087 -2.7695680037140846e-02</internalNodes>
-          <leafValues>
-            5.0937449932098389e-01 -1.0129760019481182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2088 -3.7936570588499308e-03</internalNodes>
-          <leafValues>
-            -2.7367559075355530e-01 2.2888140752911568e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2089 6.6490046679973602e-02</internalNodes>
-          <leafValues>
-            -1.7767919227480888e-02 3.0243128538131714e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2090 2.4492349475622177e-02</internalNodes>
-          <leafValues>
-            1.6199620440602303e-02 -1.8059089779853821e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2091 3.9224490523338318e-02</internalNodes>
-          <leafValues>
-            6.2305349856615067e-03 -7.2741222381591797e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2092 -3.9555127732455730e-03</internalNodes>
-          <leafValues>
-            8.3237506449222565e-02 -5.9971958398818970e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2093 -4.0117479860782623e-02</internalNodes>
-          <leafValues>
-            -8.9912259578704834e-01 5.7570450007915497e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2094 3.7345938384532928e-02</internalNodes>
-          <leafValues>
-            -1.0278220288455486e-02 5.5619978904724121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2095 3.5555940121412277e-03</internalNodes>
-          <leafValues>
-            1.6657149419188499e-02 -3.3648529648780823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2096 -1.7665129853412509e-03</internalNodes>
-          <leafValues>
-            1.1981459707021713e-01 -3.9624880999326706e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2097 4.8014218918979168e-03</internalNodes>
-          <leafValues>
-            3.4317120909690857e-02 -1.4242500066757202e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2098 -4.8842090182006359e-03</internalNodes>
-          <leafValues>
-            -2.4056419730186462e-01 5.4772831499576569e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2099 1.1965839803451672e-04</internalNodes>
-          <leafValues>
-            -6.5111830830574036e-02 9.1186530888080597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2100 6.1463210731744766e-02</internalNodes>
-          <leafValues>
-            2.2536460310220718e-03 -5.8605438470840454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2101 6.9882362149655819e-03</internalNodes>
-          <leafValues>
-            -5.1632720977067947e-02 1.0069630295038223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2102 -1.5248640440404415e-02</internalNodes>
-          <leafValues>
-            -3.9649030566215515e-01 7.3884390294551849e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2103 -9.1895330115221441e-05</internalNodes>
-          <leafValues>
-            6.6976770758628845e-02 -6.9580227136611938e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2104 -3.8073170930147171e-02</internalNodes>
-          <leafValues>
-            7.1678817272186279e-02 -5.4218940436840057e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2105 6.0213740915060043e-02</internalNodes>
-          <leafValues>
-            -1.7918029800057411e-02 2.8277221322059631e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2106 -1.1608110507950187e-03</internalNodes>
-          <leafValues>
-            -1.3598379492759705e-01 2.9590860009193420e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2107 -1.8159779720008373e-03</internalNodes>
-          <leafValues>
-            1.7696669697761536e-01 -3.3906169235706329e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2108 5.7966040913015604e-04</internalNodes>
-          <leafValues>
-            -3.8249019533395767e-02 2.4134349077939987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2109 -9.4094357336871326e-05</internalNodes>
-          <leafValues>
-            6.8295761942863464e-02 -6.8657957017421722e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2110 1.8233150243759155e-02</internalNodes>
-          <leafValues>
-            -9.2594744637608528e-03 2.2030550241470337e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2111 -2.1909039467573166e-02</internalNodes>
-          <leafValues>
-            -4.0802249312400818e-01 1.3047140091657639e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2112 -8.4120110841467977e-05</internalNodes>
-          <leafValues>
-            4.6509388834238052e-02 -4.4079691171646118e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2113 3.1046951335156336e-05</internalNodes>
-          <leafValues>
-            -8.9913800358772278e-02 4.8912350088357925e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2114 2.5289219338446856e-03</internalNodes>
-          <leafValues>
-            -2.3542739450931549e-02 1.5479239821434021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2115 -1.2940970063209534e-01</internalNodes>
-          <leafValues>
-            -3.9730009436607361e-01 1.2606710195541382e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2116 1.2858719564974308e-02</internalNodes>
-          <leafValues>
-            -3.6222558468580246e-02 1.6217750310897827e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2117 1.1377360351616517e-04</internalNodes>
-          <leafValues>
-            -1.0770879685878754e-01 4.6765219420194626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2118 -2.9391219839453697e-02</internalNodes>
-          <leafValues>
-            2.2892589867115021e-01 -3.4089948982000351e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2119 1.7511859536170959e-01</internalNodes>
-          <leafValues>
-            -1.8170779570937157e-02 2.6032659411430359e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2120 1.3814390404149890e-03</internalNodes>
-          <leafValues>
-            3.3500280231237411e-02 -1.6772350668907166e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2121 -1.0088009730679914e-04</internalNodes>
-          <leafValues>
-            6.9935522973537445e-02 -7.0163749158382416e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2122 -5.2363821305334568e-03</internalNodes>
-          <leafValues>
-            -3.8714709877967834e-01 3.8488220889121294e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2123 1.1944399448111653e-03</internalNodes>
-          <leafValues>
-            -4.0175188332796097e-02 1.1868380010128021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2124 -1.0081879736389965e-04</internalNodes>
-          <leafValues>
-            5.3753741085529327e-02 -5.6394770741462708e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2125 1.2026460171910003e-04</internalNodes>
-          <leafValues>
-            -6.2764182686805725e-02 7.7123142778873444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2126 -1.1322049977025017e-04</internalNodes>
-          <leafValues>
-            5.6235220283269882e-02 -5.4109230637550354e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2127 1.1329459812259302e-04</internalNodes>
-          <leafValues>
-            -5.6005071848630905e-02 7.9855620861053467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2128 -1.0272819781675935e-04</internalNodes>
-          <leafValues>
-            5.0986729562282562e-02 -4.5671850442886353e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2129 -9.1088571934960783e-05</internalNodes>
-          <leafValues>
-            8.5412003099918365e-02 -7.8027188777923584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2130 2.6975329965353012e-03</internalNodes>
-          <leafValues>
-            1.1360989883542061e-02 -1.3084140419960022e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2131 1.1563959717750549e-01</internalNodes>
-          <leafValues>
-            1.3141030445694923e-02 -3.4900349378585815e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2132 1.1328439723001793e-04</internalNodes>
-          <leafValues>
-            -4.6778239309787750e-02 6.6560126841068268e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2133 9.8681906820274889e-05</internalNodes>
-          <leafValues>
-            -6.3125617802143097e-02 7.3674477636814117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2134 -6.7920819856226444e-03</internalNodes>
-          <leafValues>
-            -8.6472243070602417e-02 1.3665749691426754e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2135 7.4815307743847370e-03</internalNodes>
-          <leafValues>
-            1.8933869898319244e-02 -2.4700309336185455e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2136 -9.6308911452069879e-05</internalNodes>
-          <leafValues>
-            3.9868801832199097e-02 -4.4424280524253845e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2137 -1.4094969630241394e-01</internalNodes>
-          <leafValues>
-            -8.1448292732238770e-01 5.2730259485542774e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2138 6.3983728177845478e-03</internalNodes>
-          <leafValues>
-            -2.3488819599151611e-02 6.4670667052268982e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2139 -2.5239890441298485e-02</internalNodes>
-          <leafValues>
-            1.6939760744571686e-01 -2.8049439191818237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2140 1.7426529526710510e-01</internalNodes>
-          <leafValues>
-            2.0990138873457909e-03 -5.8285897970199585e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2141 1.3174180686473846e-01</internalNodes>
-          <leafValues>
-            1.1987269856035709e-02 -4.5190098881721497e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2142 1.1509929754538462e-04</internalNodes>
-          <leafValues>
-            -4.8113349825143814e-02 6.8035729229450226e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2143 9.7694486612454057e-05</internalNodes>
-          <leafValues>
-            -6.5665252506732941e-02 8.1481061875820160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2144 8.2227466627955437e-03</internalNodes>
-          <leafValues>
-            -1.1364550143480301e-01 1.9999189302325249e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2145 -7.2657060809433460e-03</internalNodes>
-          <leafValues>
-            1.9642250239849091e-01 -2.3443970829248428e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2146 -1.3820930384099483e-02</internalNodes>
-          <leafValues>
-            -3.5106611251831055e-01 2.1997150033712387e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2147 3.1349230557680130e-03</internalNodes>
-          <leafValues>
-            3.4941900521516800e-02 -1.1724609881639481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2148 7.1846559643745422e-02</internalNodes>
-          <leafValues>
-            1.1878719553351402e-02 -3.4860029816627502e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2149 -1.4865489676594734e-02</internalNodes>
-          <leafValues>
-            -2.0006850361824036e-01 2.1975699812173843e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2150 2.2416159510612488e-02</internalNodes>
-          <leafValues>
-            -1.4369959942996502e-02 1.2353249639272690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2151 -8.5451323539018631e-03</internalNodes>
-          <leafValues>
-            9.6531502902507782e-02 -5.6036688387393951e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2152 -2.2441910579800606e-02</internalNodes>
-          <leafValues>
-            -1.7705179750919342e-01 1.5571230091154575e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2153 7.0013068616390228e-03</internalNodes>
-          <leafValues>
-            -4.0438491851091385e-02 1.0996779799461365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2154 2.2682549431920052e-02</internalNodes>
-          <leafValues>
-            6.6524217836558819e-03 -1.8406519293785095e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2155 -2.5074880104511976e-03</internalNodes>
-          <leafValues>
-            5.7935230433940887e-02 -7.8782439231872559e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2156 -1.4321220107376575e-02</internalNodes>
-          <leafValues>
-            1.2821240723133087e-01 -2.5092139840126038e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2157 -4.5356648042798042e-03</internalNodes>
-          <leafValues>
-            9.1736033558845520e-02 -5.7933621108531952e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2158 1.9409060478210449e-02</internalNodes>
-          <leafValues>
-            2.2336810827255249e-02 -1.6051660478115082e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2159 -1.8575839931145310e-03</internalNodes>
-          <leafValues>
-            6.7214876413345337e-02 -7.1684822440147400e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2160 1.4123350381851196e-02</internalNodes>
-          <leafValues>
-            -1.8340790644288063e-02 6.5503582358360291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2161 9.8213102319277823e-05</internalNodes>
-          <leafValues>
-            -6.1678610742092133e-02 7.3350921273231506e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>365</maxWeakCount>
-      <stageThreshold>-1.3049939870834351e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 2162 -3.3882360905408859e-02</internalNodes>
-          <leafValues>
-            2.0239050686359406e-01 -2.2946560382843018e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2163 5.7477080263197422e-03</internalNodes>
-          <leafValues>
-            -5.0940629094839096e-02 1.2186110019683838e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2164 -2.9972488991916180e-03</internalNodes>
-          <leafValues>
-            1.0657569766044617e-01 -2.5070008635520935e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2165 -4.9375999718904495e-02</internalNodes>
-          <leafValues>
-            2.2355130314826965e-01 -9.3850642442703247e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2166 -8.8743809610605240e-03</internalNodes>
-          <leafValues>
-            1.8828199803829193e-01 -1.0731340199708939e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2167 -1.5041409991681576e-02</internalNodes>
-          <leafValues>
-            5.3844779729843140e-02 -8.1702902913093567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2168 -1.1803549714386463e-02</internalNodes>
-          <leafValues>
-            2.0604920387268066e-01 -7.4148297309875488e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2169 -8.9601287618279457e-03</internalNodes>
-          <leafValues>
-            9.8798438906669617e-02 -1.4819039404392242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2170 -8.7451227009296417e-03</internalNodes>
-          <leafValues>
-            2.2514469921588898e-01 -8.0280996859073639e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2171 -1.3039770722389221e-01</internalNodes>
-          <leafValues>
-            -1.9512100517749786e-01 2.9707670211791992e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2172 9.4073556363582611e-02</internalNodes>
-          <leafValues>
-            4.4669799506664276e-02 -3.4604659676551819e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2173 1.1114570312201977e-02</internalNodes>
-          <leafValues>
-            8.7716905400156975e-03 -3.6369881033897400e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2174 -2.8564259409904480e-02</internalNodes>
-          <leafValues>
-            1.7795929312705994e-01 -7.0157200098037720e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2175 -4.0305700153112411e-02</internalNodes>
-          <leafValues>
-            6.1408281326293945e-02 -1.1470430344343185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2176 -2.6785670779645443e-03</internalNodes>
-          <leafValues>
-            7.0054598152637482e-02 -2.1235230565071106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2177 -1.2476369738578796e-02</internalNodes>
-          <leafValues>
-            2.5417190790176392e-01 -3.6739729344844818e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2178 -3.7886248901486397e-03</internalNodes>
-          <leafValues>
-            1.8476079404354095e-01 -6.2649697065353394e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2179 4.7300331294536591e-02</internalNodes>
-          <leafValues>
-            -1.8394020199775696e-01 2.0217979326844215e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2180 -5.1964629441499710e-02</internalNodes>
-          <leafValues>
-            -3.3711931109428406e-01 3.0889309942722321e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2181 6.8056071177124977e-03</internalNodes>
-          <leafValues>
-            -1.5254379808902740e-01 6.3084572553634644e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2182 2.8190209995955229e-03</internalNodes>
-          <leafValues>
-            3.1094970181584358e-02 -2.6837760210037231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2183 -6.6912218928337097e-02</internalNodes>
-          <leafValues>
-            3.1126910448074341e-01 -3.2822500914335251e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2184 1.7488099634647369e-02</internalNodes>
-          <leafValues>
-            -8.8495753705501556e-02 1.4047129452228546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2185 3.4225170966237783e-03</internalNodes>
-          <leafValues>
-            4.2204130440950394e-02 -1.9856970012187958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2186 -7.7762128785252571e-03</internalNodes>
-          <leafValues>
-            -3.8108658790588379e-01 2.8606420382857323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2187 -1.2615400366485119e-02</internalNodes>
-          <leafValues>
-            1.6002969443798065e-01 -5.7289630174636841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2188 -4.2172331362962723e-02</internalNodes>
-          <leafValues>
-            2.7694448828697205e-01 -3.3612001687288284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2189 -2.9790079221129417e-02</internalNodes>
-          <leafValues>
-            -2.9134678840637207e-01 1.3471970334649086e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2190 -3.6842040717601776e-02</internalNodes>
-          <leafValues>
-            -2.9361110925674438e-01 2.9519720003008842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2191 -3.3496100455522537e-02</internalNodes>
-          <leafValues>
-            -3.8665390014648438e-01 2.2829739376902580e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2192 1.6487220302224159e-02</internalNodes>
-          <leafValues>
-            2.7645170688629150e-02 -3.0679538846015930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2193 -7.6681151986122131e-03</internalNodes>
-          <leafValues>
-            1.9639779627323151e-01 -5.6477900594472885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2194 -8.4842611104249954e-03</internalNodes>
-          <leafValues>
-            1.4659149944782257e-01 -5.8792188763618469e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2195 -6.6472780890762806e-03</internalNodes>
-          <leafValues>
-            2.4539250880479813e-02 -1.2503169476985931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2196 -4.3351850472390652e-03</internalNodes>
-          <leafValues>
-            4.8890460282564163e-02 -1.8971499800682068e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2197 -1.6708990558981895e-02</internalNodes>
-          <leafValues>
-            -8.4014803171157837e-02 1.4256189577281475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2198 1.3730719685554504e-02</internalNodes>
-          <leafValues>
-            -5.9245068579912186e-02 1.6668020188808441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2199 -4.9747668206691742e-02</internalNodes>
-          <leafValues>
-            -5.0222182273864746e-01 -7.9818630183581263e-05</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2200 -1.5398520044982433e-02</internalNodes>
-          <leafValues>
-            -2.4704429507255554e-01 3.7857480347156525e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2201 6.9194408133625984e-03</internalNodes>
-          <leafValues>
-            -2.5483440607786179e-02 5.9669129550457001e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2202 7.9743033275008202e-03</internalNodes>
-          <leafValues>
-            -4.5462001115083694e-02 2.1774409711360931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2203 1.5987269580364227e-02</internalNodes>
-          <leafValues>
-            -2.6203149929642677e-02 1.6608029603958130e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2204 -1.1483809910714626e-02</internalNodes>
-          <leafValues>
-            -4.2757600545883179e-01 1.9634570926427841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2205 -2.0910050719976425e-02</internalNodes>
-          <leafValues>
-            -1.9163990020751953e-01 1.8767410889267921e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2206 -9.1570820659399033e-03</internalNodes>
-          <leafValues>
-            -3.3912599086761475e-01 2.2093880921602249e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2207 -4.4602658599615097e-02</internalNodes>
-          <leafValues>
-            1.1534290015697479e-01 -7.1533598005771637e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2208 -3.3839430660009384e-02</internalNodes>
-          <leafValues>
-            9.7139656543731689e-02 -7.8735627233982086e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2209 2.2553609684109688e-02</internalNodes>
-          <leafValues>
-            8.4229987114667892e-03 -1.5705260634422302e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2210 -2.9585180804133415e-02</internalNodes>
-          <leafValues>
-            1.9586630165576935e-01 -4.2920190840959549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2211 -4.5955018140375614e-03</internalNodes>
-          <leafValues>
-            1.2022340297698975e-01 -8.3882987499237061e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2212 -9.5542743802070618e-03</internalNodes>
-          <leafValues>
-            -3.1514930725097656e-01 2.1119819954037666e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2213 -8.0368801951408386e-02</internalNodes>
-          <leafValues>
-            1.3920859992504120e-01 -2.0802559331059456e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2214 -7.9689081758260727e-03</internalNodes>
-          <leafValues>
-            1.2371149659156799e-01 -5.5208720266819000e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2215 -6.4949761144816875e-03</internalNodes>
-          <leafValues>
-            1.7598539590835571e-01 -4.9857739359140396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2216 1.5145390294492245e-02</internalNodes>
-          <leafValues>
-            -2.6866549253463745e-01 2.7768999338150024e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2217 -1.0654450207948685e-01</internalNodes>
-          <leafValues>
-            3.8894391059875488e-01 -2.1989410743117332e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2218 1.8047619611024857e-02</internalNodes>
-          <leafValues>
-            -4.7987051308155060e-02 1.8138599395751953e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2219 -6.9957501254975796e-03</internalNodes>
-          <leafValues>
-            1.0746960341930389e-01 -2.2650029510259628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2220 -1.0456600284669548e-04</internalNodes>
-          <leafValues>
-            5.8700188994407654e-02 -1.2299560010433197e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2221 9.3732677400112152e-02</internalNodes>
-          <leafValues>
-            1.5036529861390591e-02 -2.1524760127067566e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2222 6.5442179329693317e-03</internalNodes>
-          <leafValues>
-            3.6178309470415115e-02 -1.9664210081100464e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2223 6.9820377975702286e-03</internalNodes>
-          <leafValues>
-            -2.7531590312719345e-02 9.9207893013954163e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2224 -3.6357950884848833e-03</internalNodes>
-          <leafValues>
-            1.2325549870729446e-01 -5.4068911820650101e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2225 -1.7133219167590141e-02</internalNodes>
-          <leafValues>
-            -1.5714760124683380e-01 1.1257690377533436e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2226 6.4856321550905704e-03</internalNodes>
-          <leafValues>
-            3.5732869058847427e-02 -1.9302600622177124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2227 1.5455770306289196e-02</internalNodes>
-          <leafValues>
-            7.3288627900183201e-03 -3.3833038806915283e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2228 -1.5808869153261185e-02</internalNodes>
-          <leafValues>
-            -2.2456270456314087e-01 2.9451670125126839e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2229 -3.2471489161252975e-02</internalNodes>
-          <leafValues>
-            -5.5803108215332031e-01 2.8975890018045902e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2230 -3.9141788147389889e-03</internalNodes>
-          <leafValues>
-            1.4021359384059906e-01 -5.0554420799016953e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2231 -1.0944330133497715e-02</internalNodes>
-          <leafValues>
-            -3.5154539346694946e-01 1.8400410190224648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2232 1.0616300278343260e-04</internalNodes>
-          <leafValues>
-            -8.3685651421546936e-02 7.6890029013156891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2233 6.1605898663401604e-03</internalNodes>
-          <leafValues>
-            2.9453009366989136e-02 -1.9558599591255188e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2234 8.2721293438225985e-05</internalNodes>
-          <leafValues>
-            -8.0076627433300018e-02 8.3749473094940186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2235 -8.6001930758357048e-03</internalNodes>
-          <leafValues>
-            1.0143149644136429e-01 -4.6038668602705002e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2236 -2.0330580882728100e-03</internalNodes>
-          <leafValues>
-            9.0525522828102112e-02 -8.3805181086063385e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2237 7.9374670982360840e-02</internalNodes>
-          <leafValues>
-            1.8412400037050247e-02 -1.2558990716934204e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2238 -1.1706469580531120e-02</internalNodes>
-          <leafValues>
-            -3.4564140439033508e-01 1.7899520695209503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2239 7.5991638004779816e-02</internalNodes>
-          <leafValues>
-            -1.7106909304857254e-02 6.7980378866195679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2240 -5.0547100603580475e-02</internalNodes>
-          <leafValues>
-            8.2406863570213318e-02 -9.9478118121623993e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2241 -3.1586930155754089e-02</internalNodes>
-          <leafValues>
-            -2.5311431288719177e-01 2.1670460700988770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2242 -3.8616750389337540e-02</internalNodes>
-          <leafValues>
-            -2.5136458873748779e-01 3.0640950426459312e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2243 -2.8309430927038193e-03</internalNodes>
-          <leafValues>
-            5.8621428906917572e-02 -3.4674659371376038e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2244 3.4507629461586475e-03</internalNodes>
-          <leafValues>
-            -5.9696689248085022e-02 1.4282059669494629e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2245 -6.4924471080303192e-03</internalNodes>
-          <leafValues>
-            1.6060300171375275e-01 -3.9581570774316788e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2246 -8.9043304324150085e-03</internalNodes>
-          <leafValues>
-            -2.9341179132461548e-01 2.0171549171209335e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2247 -2.7951620519161224e-02</internalNodes>
-          <leafValues>
-            7.2093032300472260e-02 -8.1142388284206390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2248 7.9951416410040110e-05</internalNodes>
-          <leafValues>
-            -6.7746952176094055e-02 9.3461208045482635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2249 1.1102859862148762e-02</internalNodes>
-          <leafValues>
-            -2.8035409748554230e-02 2.2704620659351349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2250 1.3552259653806686e-02</internalNodes>
-          <leafValues>
-            -2.1036660298705101e-02 2.6905548572540283e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2251 1.4126170426607132e-02</internalNodes>
-          <leafValues>
-            1.4326309785246849e-02 -2.2234620153903961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2252 4.2146299965679646e-03</internalNodes>
-          <leafValues>
-            3.7077061831951141e-02 -1.5360489487648010e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2253 -2.0096069201827049e-03</internalNodes>
-          <leafValues>
-            1.0902349650859833e-01 -8.5512273013591766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2254 1.8302820622920990e-02</internalNodes>
-          <leafValues>
-            -5.6824129074811935e-02 1.0522840172052383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2255 6.5802307799458504e-03</internalNodes>
-          <leafValues>
-            3.3959459513425827e-02 -7.0342078804969788e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2256 -3.5527150612324476e-03</internalNodes>
-          <leafValues>
-            9.2438496649265289e-02 -6.8014897406101227e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2257 1.8833009526133537e-02</internalNodes>
-          <leafValues>
-            1.6142280772328377e-02 -7.9908937215805054e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2258 6.4154029823839664e-03</internalNodes>
-          <leafValues>
-            2.4767400696873665e-02 -2.4944229423999786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2259 4.6186340041458607e-03</internalNodes>
-          <leafValues>
-            2.4536220356822014e-02 -3.1335648894309998e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2260 1.1884859949350357e-01</internalNodes>
-          <leafValues>
-            2.0980369299650192e-02 -2.5818759202957153e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2261 1.0991309682140127e-04</internalNodes>
-          <leafValues>
-            -3.7180811166763306e-02 4.6653941273689270e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2262 6.1736410856246948e-01</internalNodes>
-          <leafValues>
-            -2.1467130631208420e-02 3.1791171431541443e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2263 3.8408428430557251e-02</internalNodes>
-          <leafValues>
-            -3.5127598792314529e-02 1.8549050390720367e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2264 5.3536839783191681e-02</internalNodes>
-          <leafValues>
-            -4.1895449161529541e-02 1.3988719880580902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2265 8.8034123182296753e-02</internalNodes>
-          <leafValues>
-            -6.8377859890460968e-02 4.1693281382322311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2266 -1.2001659721136093e-02</internalNodes>
-          <leafValues>
-            6.1066821217536926e-02 -1.0328210145235062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2267 -4.8769591376185417e-03</internalNodes>
-          <leafValues>
-            1.2130960077047348e-01 -4.3480679392814636e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2268 -2.9313350096344948e-03</internalNodes>
-          <leafValues>
-            9.8697140812873840e-02 -5.4528530687093735e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2269 8.7714530527591705e-03</internalNodes>
-          <leafValues>
-            1.5202780254185200e-02 -2.7232658863067627e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2270 2.5236629880964756e-03</internalNodes>
-          <leafValues>
-            -3.5202231258153915e-02 1.5970990061759949e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2271 -7.2554531507194042e-03</internalNodes>
-          <leafValues>
-            -3.3298349380493164e-01 1.7689129337668419e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2272 -5.7377000339329243e-03</internalNodes>
-          <leafValues>
-            -3.4500560164451599e-01 1.3545690104365349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2273 -1.7369260312989354e-03</internalNodes>
-          <leafValues>
-            8.0387458205223083e-02 -2.9330410063266754e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2274 7.4976221658289433e-03</internalNodes>
-          <leafValues>
-            -2.9240680858492851e-02 1.8164479732513428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2275 2.6569119654595852e-03</internalNodes>
-          <leafValues>
-            -2.1224660798907280e-02 3.1799409538507462e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2276 1.0299009736627340e-03</internalNodes>
-          <leafValues>
-            -1.2613479793071747e-01 4.8335380852222443e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2277 7.3244851082563400e-03</internalNodes>
-          <leafValues>
-            1.1200889945030212e-02 -4.4718209654092789e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2278 -8.6582284420728683e-03</internalNodes>
-          <leafValues>
-            1.4065790176391602e-01 -4.3052151799201965e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2279 1.1580599675653502e-04</internalNodes>
-          <leafValues>
-            -7.2923496365547180e-02 6.7385733127593994e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2280 -1.4025709824636579e-03</internalNodes>
-          <leafValues>
-            -1.8745669722557068e-01 3.2026190310716629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2281 3.4833580255508423e-02</internalNodes>
-          <leafValues>
-            1.2874660082161427e-02 -2.5058078765869141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2282 -4.0964070707559586e-02</internalNodes>
-          <leafValues>
-            -3.3095490932464600e-01 1.5322729945182800e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2283 -9.9130235612392426e-03</internalNodes>
-          <leafValues>
-            5.0588980317115784e-02 -1.4300700277090073e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2284 3.1872559338808060e-03</internalNodes>
-          <leafValues>
-            -3.1206250190734863e-02 1.8519160151481628e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2285 1.2019430141663179e-04</internalNodes>
-          <leafValues>
-            -4.5336149632930756e-02 4.4496789574623108e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2286 7.7739008702337742e-03</internalNodes>
-          <leafValues>
-            3.1605679541826248e-02 -1.7864149808883667e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2287 -2.1307980641722679e-03</internalNodes>
-          <leafValues>
-            -3.1884080171585083e-01 4.4108141213655472e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2288 1.4493019552901387e-03</internalNodes>
-          <leafValues>
-            -5.2389718592166901e-02 1.0424470156431198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2289 -1.8452210724353790e-01</internalNodes>
-          <leafValues>
-            1.7595799267292023e-01 -3.3386971801519394e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2290 -1.1728370009222999e-04</internalNodes>
-          <leafValues>
-            6.0376390814781189e-02 -8.8284641504287720e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2291 -1.9901100546121597e-02</internalNodes>
-          <leafValues>
-            2.2972399368882179e-02 -3.1790241599082947e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2292 6.2372140586376190e-02</internalNodes>
-          <leafValues>
-            -2.2591490298509598e-02 2.8110951185226440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2293 -3.3517589326947927e-03</internalNodes>
-          <leafValues>
-            6.8909741938114166e-02 -2.8704280033707619e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2294 -7.4083356594201177e-05</internalNodes>
-          <leafValues>
-            8.3308637142181396e-02 -5.9445090591907501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2295 -1.2365039438009262e-03</internalNodes>
-          <leafValues>
-            7.1449361741542816e-02 -4.1921019554138184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2296 -1.5120030147954822e-03</internalNodes>
-          <leafValues>
-            8.8795676827430725e-02 -5.9792499989271164e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2297 7.4081351049244404e-03</internalNodes>
-          <leafValues>
-            8.0022467300295830e-03 -3.2635369896888733e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2298 -1.2917170301079750e-02</internalNodes>
-          <leafValues>
-            -3.4276279807090759e-01 1.3512610457837582e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2299 5.6006559170782566e-03</internalNodes>
-          <leafValues>
-            -3.8777850568294525e-02 1.1089079827070236e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2300 2.9303599148988724e-02</internalNodes>
-          <leafValues>
-            -2.5236869230866432e-02 2.0500029623508453e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2301 -3.3195200376212597e-04</internalNodes>
-          <leafValues>
-            6.2742240726947784e-02 -9.6477419137954712e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2302 -4.3038749136030674e-03</internalNodes>
-          <leafValues>
-            1.1313679814338684e-01 -4.6373449265956879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2303 -1.7296209931373596e-02</internalNodes>
-          <leafValues>
-            -3.8349351286888123e-01 1.0016939602792263e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2304 -2.2030149400234222e-01</internalNodes>
-          <leafValues>
-            -3.5790899395942688e-01 1.3102149590849876e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2305 1.7911270260810852e-02</internalNodes>
-          <leafValues>
-            4.1835359297692776e-03 -2.5600808858871460e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2306 -1.1390260420739651e-02</internalNodes>
-          <leafValues>
-            -2.6581099629402161e-01 1.9057299941778183e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2307 -2.8078479692339897e-02</internalNodes>
-          <leafValues>
-            1.6174699366092682e-01 -3.2481499016284943e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2308 -1.9583579152822495e-02</internalNodes>
-          <leafValues>
-            -2.6070371270179749e-01 2.2547200322151184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2309 7.3393443017266691e-05</internalNodes>
-          <leafValues>
-            -5.4666221141815186e-02 4.0767289698123932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2310 -4.6995278447866440e-02</internalNodes>
-          <leafValues>
-            -4.4603431224822998e-01 1.1102690361440182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2311 -1.1355779861332849e-04</internalNodes>
-          <leafValues>
-            3.3556360751390457e-02 -2.4448079988360405e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2312 4.7428491525352001e-03</internalNodes>
-          <leafValues>
-            -3.3876050263643265e-02 1.4432670176029205e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2313 6.0940310359001160e-03</internalNodes>
-          <leafValues>
-            -2.6939800009131432e-02 1.8384850025177002e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2314 -7.4838818982243538e-03</internalNodes>
-          <leafValues>
-            -2.9266190528869629e-01 1.5399949625134468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2315 7.8164823353290558e-03</internalNodes>
-          <leafValues>
-            9.0713957324624062e-03 -3.5414189100265503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2316 -5.1856059581041336e-03</internalNodes>
-          <leafValues>
-            1.4908669888973236e-01 -3.8270790129899979e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2317 -4.8475480079650879e-01</internalNodes>
-          <leafValues>
-            -5.6529688835144043e-01 9.0100103989243507e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2318 -6.0149569064378738e-02</internalNodes>
-          <leafValues>
-            -6.6451191902160645e-01 5.7822549715638161e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2319 -3.2175570726394653e-02</internalNodes>
-          <leafValues>
-            -1.6214740276336670e-01 2.4788419250398874e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2320 6.7587220109999180e-03</internalNodes>
-          <leafValues>
-            -3.7111308425664902e-02 1.3146670162677765e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2321 1.2848580256104469e-02</internalNodes>
-          <leafValues>
-            8.4516126662492752e-03 -5.2762651443481445e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2322 5.1822371780872345e-02</internalNodes>
-          <leafValues>
-            -2.2025400772690773e-02 2.2004729509353638e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2323 4.3869521468877792e-02</internalNodes>
-          <leafValues>
-            4.6415599063038826e-03 -2.9684591293334961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2324 -2.8215179219841957e-02</internalNodes>
-          <leafValues>
-            -2.3835469782352448e-01 2.0944530144333839e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2325 1.1462989496067166e-03</internalNodes>
-          <leafValues>
-            -3.2323900610208511e-02 9.8447293043136597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2326 -9.1807021817658097e-05</internalNodes>
-          <leafValues>
-            4.8391621559858322e-02 -1.0352600365877151e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2327 -3.1447969377040863e-03</internalNodes>
-          <leafValues>
-            7.9412266612052917e-02 -3.7316069006919861e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2328 -1.2354710139334202e-02</internalNodes>
-          <leafValues>
-            -4.4685348868370056e-01 1.0231420397758484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2329 7.3198013007640839e-02</internalNodes>
-          <leafValues>
-            -2.3037230130285025e-03 4.2292898893356323e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2330 2.0700140297412872e-01</internalNodes>
-          <leafValues>
-            6.5427711233496666e-03 -6.8654668331146240e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2331 -2.8876150026917458e-02</internalNodes>
-          <leafValues>
-            -3.4709088504314423e-02 2.2856339812278748e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2332 1.1793940328061581e-02</internalNodes>
-          <leafValues>
-            -3.7016589194536209e-02 1.2962980568408966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2333 -8.4449667483568192e-03</internalNodes>
-          <leafValues>
-            1.3182109594345093e-01 -4.6101968735456467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2334 -1.7379879718646407e-03</internalNodes>
-          <leafValues>
-            -1.9482420384883881e-01 2.5667199864983559e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2335 -1.3288700021803379e-02</internalNodes>
-          <leafValues>
-            -4.4804200530052185e-02 1.5710260719060898e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2336 9.5334917306900024e-02</internalNodes>
-          <leafValues>
-            1.0352609679102898e-02 -4.4375640153884888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2337 1.1624330363702029e-04</internalNodes>
-          <leafValues>
-            -5.2062071859836578e-02 4.3834179639816284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2338 -1.0214909707428887e-04</internalNodes>
-          <leafValues>
-            8.4646992385387421e-02 -5.3199101239442825e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2339 3.3260729163885117e-02</internalNodes>
-          <leafValues>
-            1.0557370260357857e-02 -1.7795279622077942e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2340 1.0356389975640923e-04</internalNodes>
-          <leafValues>
-            -6.9730758666992188e-02 5.8773018419742584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2341 -8.6508220434188843e-01</internalNodes>
-          <leafValues>
-            5.2564299106597900e-01 -7.9431589692831039e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2342 5.5448818206787109e-01</internalNodes>
-          <leafValues>
-            -1.1862279847264290e-02 3.3969870209693909e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2343 -1.2398809939622879e-01</internalNodes>
-          <leafValues>
-            -3.0059650540351868e-01 1.0551629588007927e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2344 -1.8067149445414543e-02</internalNodes>
-          <leafValues>
-            4.8538219183683395e-02 -9.4906397163867950e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2345 1.7284390330314636e-01</internalNodes>
-          <leafValues>
-            2.9056880157440901e-03 -2.6223310828208923e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2346 -5.6298580602742732e-05</internalNodes>
-          <leafValues>
-            3.5491660237312317e-02 -1.1942940205335617e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2347 4.3891761451959610e-02</internalNodes>
-          <leafValues>
-            -5.7431817986071110e-03 1.2878720462322235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2348 1.1601000092923641e-02</internalNodes>
-          <leafValues>
-            -2.7580419555306435e-02 1.6389440000057220e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2349 1.0969590395689011e-02</internalNodes>
-          <leafValues>
-            -2.4061219766736031e-02 6.6235110163688660e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2350 -6.5495766699314117e-02</internalNodes>
-          <leafValues>
-            1.4799270033836365e-01 -3.7685319781303406e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2351 -4.1891798377037048e-02</internalNodes>
-          <leafValues>
-            -7.0353198051452637e-01 1.4793720329180360e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2352 1.0460639896336943e-04</internalNodes>
-          <leafValues>
-            -6.8750366568565369e-02 6.8998672068119049e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2353 3.0087800696492195e-02</internalNodes>
-          <leafValues>
-            -2.4997230619192123e-02 1.6010420024394989e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2354 -3.5395029187202454e-01</internalNodes>
-          <leafValues>
-            -2.6776018738746643e-01 1.9514789804816246e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2355 -1.7325379885733128e-03</internalNodes>
-          <leafValues>
-            9.0407662093639374e-02 -3.3809348940849304e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2356 -9.1078240075148642e-05</internalNodes>
-          <leafValues>
-            6.6738963127136230e-02 -6.4228832721710205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2357 1.0164060222450644e-04</internalNodes>
-          <leafValues>
-            -5.5076360702514648e-02 8.6006529629230499e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2358 1.0091240255860612e-04</internalNodes>
-          <leafValues>
-            -6.6988758742809296e-02 9.0417332947254181e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2359 1.1433399777160957e-04</internalNodes>
-          <leafValues>
-            -7.9386427998542786e-02 3.3360429108142853e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2360 -9.1078240075148642e-05</internalNodes>
-          <leafValues>
-            6.8556882441043854e-02 -6.7940391600131989e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2361 -3.9200659841299057e-02</internalNodes>
-          <leafValues>
-            2.6595410704612732e-01 -1.1581010185182095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2362 -4.0849689394235611e-02</internalNodes>
-          <leafValues>
-            2.3699620366096497e-01 -1.8228670582175255e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2363 1.5409139450639486e-03</internalNodes>
-          <leafValues>
-            3.2854549586772919e-02 -1.3879729807376862e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2364 2.2081700153648853e-03</internalNodes>
-          <leafValues>
-            2.8462519869208336e-02 -1.5396310389041901e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2365 2.5576550979167223e-03</internalNodes>
-          <leafValues>
-            -3.1621441245079041e-02 1.3564549386501312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2366 -1.0356900282204151e-02</internalNodes>
-          <leafValues>
-            -2.8086408972740173e-01 1.6379009932279587e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2367 2.6948269456624985e-02</internalNodes>
-          <leafValues>
-            -7.6934508979320526e-03 1.3261960446834564e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2368 -9.3930400907993317e-03</internalNodes>
-          <leafValues>
-            7.1190893650054932e-02 -6.2922917306423187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2369 3.2943800091743469e-02</internalNodes>
-          <leafValues>
-            -3.3817298710346222e-02 8.7523058056831360e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2370 8.8589258491992950e-02</internalNodes>
-          <leafValues>
-            1.5241189859807491e-02 -3.6706811189651489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2371 -8.0594501923769712e-05</internalNodes>
-          <leafValues>
-            5.0675150007009506e-02 -1.8724879249930382e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2372 7.6212047133594751e-05</internalNodes>
-          <leafValues>
-            -1.1710049957036972e-01 4.6428650617599487e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2373 2.9634490609169006e-02</internalNodes>
-          <leafValues>
-            6.1184200458228588e-03 -8.1311158835887909e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2374 4.9311809241771698e-02</internalNodes>
-          <leafValues>
-            1.5268309973180294e-02 -2.9420408606529236e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2375 5.4893750697374344e-02</internalNodes>
-          <leafValues>
-            -1.0509899817407131e-02 1.4876569807529449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2376 -2.2886209189891815e-02</internalNodes>
-          <leafValues>
-            1.1702159792184830e-01 -4.0515769273042679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2377 5.3369901143014431e-03</internalNodes>
-          <leafValues>
-            2.2458840161561966e-02 -4.7646570950746536e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2378 -4.3291270732879639e-02</internalNodes>
-          <leafValues>
-            4.2726710438728333e-01 -1.0213980451226234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2379 7.1153361350297928e-03</internalNodes>
-          <leafValues>
-            -9.3713469803333282e-02 1.4859509654343128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2380 1.9230809994041920e-03</internalNodes>
-          <leafValues>
-            -2.8736030682921410e-02 1.5192930400371552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2381 -4.8766369000077248e-03</internalNodes>
-          <leafValues>
-            -1.2188100069761276e-01 3.5688500851392746e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2382 8.1249003414995968e-05</internalNodes>
-          <leafValues>
-            -6.9741703569889069e-02 7.9007953405380249e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2383 -3.0618819873780012e-03</internalNodes>
-          <leafValues>
-            -2.4777479469776154e-01 1.6769090667366982e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2384 -1.0020760237239301e-04</internalNodes>
-          <leafValues>
-            8.9383192360401154e-02 -7.5246021151542664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2385 -3.5711210221052170e-03</internalNodes>
-          <leafValues>
-            3.2868590205907822e-02 -2.6319630444049835e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2386 4.4158261269330978e-02</internalNodes>
-          <leafValues>
-            9.1490726917982101e-03 -4.9472698569297791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2387 -1.2411230243742466e-02</internalNodes>
-          <leafValues>
-            -7.9080909490585327e-01 1.2701259693130851e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2388 3.1543849036097527e-03</internalNodes>
-          <leafValues>
-            -2.6582410559058189e-02 1.6744150221347809e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2389 -1.0832149535417557e-02</internalNodes>
-          <leafValues>
-            -1.4656180143356323e-01 9.8041100427508354e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2390 -9.0239293058402836e-05</internalNodes>
-          <leafValues>
-            8.0845810472965240e-02 -5.8461051434278488e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2391 -7.7505349181592464e-03</internalNodes>
-          <leafValues>
-            -6.1667799949645996e-02 1.6547329723834991e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2392 1.4565950259566307e-02</internalNodes>
-          <leafValues>
-            1.5213799662888050e-02 -2.6753041148185730e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2393 -8.4792282432317734e-03</internalNodes>
-          <leafValues>
-            3.0588289722800255e-02 -4.4890258461236954e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2394 2.5341829750686884e-03</internalNodes>
-          <leafValues>
-            -2.3893959820270538e-02 1.7228589951992035e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2395 -5.7597858831286430e-03</internalNodes>
-          <leafValues>
-            1.3594760000705719e-01 -1.5244400128722191e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2396 -1.4607460470870137e-03</internalNodes>
-          <leafValues>
-            -1.1625000089406967e-01 5.1985260099172592e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2397 2.8517120517790318e-03</internalNodes>
-          <leafValues>
-            -1.7940439283847809e-02 6.0237661004066467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2398 8.9769951999187469e-02</internalNodes>
-          <leafValues>
-            -9.4037447124719620e-03 4.4200161099433899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2399 1.8908040598034859e-02</internalNodes>
-          <leafValues>
-            4.9003809690475464e-03 -2.7509149909019470e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2400 -8.5895955562591553e-03</internalNodes>
-          <leafValues>
-            -1.7463889718055725e-01 2.4978419765830040e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2401 -1.4033289626240730e-02</internalNodes>
-          <leafValues>
-            1.1389180272817612e-01 -2.2636910900473595e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2402 -1.2071140110492706e-02</internalNodes>
-          <leafValues>
-            1.0377719998359680e-01 -4.1957050561904907e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2403 7.8776637092232704e-03</internalNodes>
-          <leafValues>
-            4.4563128612935543e-03 -2.5385779142379761e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2404 9.7573982202447951e-05</internalNodes>
-          <leafValues>
-            -7.1789413690567017e-02 6.4117558300495148e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2405 1.1756990104913712e-01</internalNodes>
-          <leafValues>
-            -1.0103950276970863e-02 2.8671211004257202e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2406 -1.7693729698657990e-01</internalNodes>
-          <leafValues>
-            -3.2672521471977234e-01 1.3368690386414528e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2407 6.9278101436793804e-03</internalNodes>
-          <leafValues>
-            -2.6613669469952583e-02 1.6719299554824829e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2408 8.2964971661567688e-03</internalNodes>
-          <leafValues>
-            -5.0678610801696777e-02 1.0666640102863312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2409 -1.7562190070748329e-02</internalNodes>
-          <leafValues>
-            -2.2206050157546997e-01 1.2752059847116470e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2410 7.2527178563177586e-03</internalNodes>
-          <leafValues>
-            2.5016179308295250e-02 -1.8147459626197815e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2411 -8.3280522376298904e-03</internalNodes>
-          <leafValues>
-            1.0262949764728546e-01 -3.1841918826103210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2412 8.1564113497734070e-03</internalNodes>
-          <leafValues>
-            -2.6094259694218636e-02 1.9404900074005127e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2413 9.6458224579691887e-03</internalNodes>
-          <leafValues>
-            -1.7504140734672546e-02 1.8571110069751740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2414 -2.6147949974983931e-03</internalNodes>
-          <leafValues>
-            5.7285130023956299e-02 -8.5206836462020874e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2415 -9.0203131549060345e-05</internalNodes>
-          <leafValues>
-            4.4843290001153946e-02 -5.5859129875898361e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2416 -2.2970889508724213e-01</internalNodes>
-          <leafValues>
-            4.1338160634040833e-01 -1.0467030107975006e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2417 -9.3038368504494429e-05</internalNodes>
-          <leafValues>
-            6.5610900521278381e-02 -4.6013180166482925e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2418 3.2218669075518847e-03</internalNodes>
-          <leafValues>
-            1.4394659548997879e-02 -2.8860649466514587e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2419 -5.4404459893703461e-02</internalNodes>
-          <leafValues>
-            3.4964048862457275e-01 -4.6711899340152740e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2420 8.3852171897888184e-02</internalNodes>
-          <leafValues>
-            9.7965141758322716e-03 -4.5140910148620605e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2421 -7.3948511853814125e-03</internalNodes>
-          <leafValues>
-            -1.6057239472866058e-01 2.0318130031228065e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2422 2.6246640086174011e-01</internalNodes>
-          <leafValues>
-            -9.4673177227377892e-03 4.4844120740890503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2423 -1.0621179826557636e-03</internalNodes>
-          <leafValues>
-            -1.1759970337152481e-01 3.7068329751491547e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2424 3.9175958372652531e-03</internalNodes>
-          <leafValues>
-            -2.8878200799226761e-02 1.5599119663238525e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2425 2.3374879732728004e-02</internalNodes>
-          <leafValues>
-            -3.0305700376629829e-02 4.9608588218688965e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2426 7.0046126842498779e-02</internalNodes>
-          <leafValues>
-            3.0271939933300018e-02 -1.6876719892024994e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2427 -1.4835690148174763e-02</internalNodes>
-          <leafValues>
-            3.7178281694650650e-02 -5.0572458654642105e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2428 -6.1111040413379669e-02</internalNodes>
-          <leafValues>
-            1.4954359829425812e-01 -3.3388800919055939e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2429 1.2960570165887475e-03</internalNodes>
-          <leafValues>
-            7.7619366347789764e-02 -3.0182060599327087e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2430 -9.6840893093030900e-05</internalNodes>
-          <leafValues>
-            7.6822131872177124e-02 -6.0163989663124084e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2431 -1.2722789542749524e-03</internalNodes>
-          <leafValues>
-            -3.2610461115837097e-01 7.6267711818218231e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2432 2.7745799161493778e-03</internalNodes>
-          <leafValues>
-            -3.7424080073833466e-02 1.5734979510307312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2433 -1.3858770020306110e-02</internalNodes>
-          <leafValues>
-            1.0158479958772659e-01 -1.1126480065286160e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2434 -7.4661108665168285e-03</internalNodes>
-          <leafValues>
-            1.5804830193519592e-01 -2.9558379203081131e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2435 -6.5499739721417427e-03</internalNodes>
-          <leafValues>
-            5.3577870130538940e-02 -1.8859000876545906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2436 1.7137609422206879e-02</internalNodes>
-          <leafValues>
-            2.8566429391503334e-02 -1.6672840714454651e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2437 -1.5429790318012238e-01</internalNodes>
-          <leafValues>
-            -5.3008288145065308e-01 4.6510128304362297e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2438 1.0610629804432392e-02</internalNodes>
-          <leafValues>
-            -1.4005419798195362e-02 3.5358279943466187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2439 -1.2487419694662094e-01</internalNodes>
-          <leafValues>
-            -9.2341862618923187e-02 7.7773127704858780e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2440 2.4952359497547150e-02</internalNodes>
-          <leafValues>
-            -1.9140990450978279e-02 2.2024959325790405e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2441 -1.0323809832334518e-01</internalNodes>
-          <leafValues>
-            4.6602148562669754e-02 -8.1108592450618744e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2442 -4.5149028301239014e-03</internalNodes>
-          <leafValues>
-            8.9722327888011932e-02 -5.1392719149589539e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2443 -1.1647379724308848e-03</internalNodes>
-          <leafValues>
-            6.6680416464805603e-02 -2.8577109798789024e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2444 -2.0229439437389374e-01</internalNodes>
-          <leafValues>
-            -1.4662939310073853e-01 3.2757651060819626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2445 6.6811027936637402e-03</internalNodes>
-          <leafValues>
-            -2.2777039557695389e-02 6.4059197902679443e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2446 1.3379199663177133e-03</internalNodes>
-          <leafValues>
-            -3.8998249918222427e-02 1.1498399823904037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2447 1.1130159720778465e-02</internalNodes>
-          <leafValues>
-            1.1183519847691059e-02 -1.2708090245723724e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2448 -1.6420660540461540e-02</internalNodes>
-          <leafValues>
-            -4.4360479712486267e-01 8.8887596502900124e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2449 1.2306580320000648e-02</internalNodes>
-          <leafValues>
-            1.6212840564548969e-03 -6.9290822744369507e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2450 -1.5455400571227074e-03</internalNodes>
-          <leafValues>
-            1.0736440122127533e-01 -3.8405489176511765e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2451 1.2311200052499771e-01</internalNodes>
-          <leafValues>
-            -4.0762219578027725e-03 2.4662579596042633e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2452 -5.8553021401166916e-02</internalNodes>
-          <leafValues>
-            -1.7537310719490051e-01 2.4212690070271492e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2453 4.9732271581888199e-03</internalNodes>
-          <leafValues>
-            8.6330175399780273e-03 -3.4557878971099854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2454 1.0527500126045197e-04</internalNodes>
-          <leafValues>
-            -6.1904430389404297e-02 7.3099963366985321e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2455 3.3458888530731201e-02</internalNodes>
-          <leafValues>
-            -5.6895300745964050e-02 1.1233749985694885e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2456 1.0234630107879639e-01</internalNodes>
-          <leafValues>
-            1.7183110117912292e-02 -2.6306340098381042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2457 -1.1073449626564980e-02</internalNodes>
-          <leafValues>
-            -1.2017820030450821e-01 1.5160970389842987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2458 -9.2945203185081482e-02</internalNodes>
-          <leafValues>
-            -3.8352051377296448e-01 1.1504840105772018e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2459 9.8843947052955627e-03</internalNodes>
-          <leafValues>
-            9.4814822077751160e-03 -7.9045042395591736e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2460 8.5867056623101234e-03</internalNodes>
-          <leafValues>
-            -3.8179259747266769e-02 1.1506719887256622e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2461 7.7010630629956722e-03</internalNodes>
-          <leafValues>
-            8.2067763432860374e-03 -3.1945049762725830e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2462 9.9160419777035713e-03</internalNodes>
-          <leafValues>
-            1.8310869112610817e-02 -2.3958839476108551e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2463 -2.6565459556877613e-03</internalNodes>
-          <leafValues>
-            1.4702770113945007e-01 -3.2037820667028427e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2464 -7.6955580152571201e-03</internalNodes>
-          <leafValues>
-            -3.1516849994659424e-01 1.3593629933893681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2465 7.8387549147009850e-03</internalNodes>
-          <leafValues>
-            1.0083840228617191e-02 -8.1965617835521698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2466 -2.0592060685157776e-01</internalNodes>
-          <leafValues>
-            2.3605699837207794e-01 -1.7845120280981064e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2467 -1.0210929758613929e-04</internalNodes>
-          <leafValues>
-            4.5697391033172607e-02 -3.6160539835691452e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2468 7.4321818538010120e-03</internalNodes>
-          <leafValues>
-            1.5175740234553814e-02 -2.6345270872116089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2469 -5.3089652210474014e-03</internalNodes>
-          <leafValues>
-            3.2872479408979416e-02 -4.2499881237745285e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2470 -1.0211910121142864e-02</internalNodes>
-          <leafValues>
-            -1.0723040252923965e-01 3.5072378814220428e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2471 1.5653369948267937e-02</internalNodes>
-          <leafValues>
-            -1.4208839833736420e-01 2.5232769548892975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2472 -1.5530959703028202e-02</internalNodes>
-          <leafValues>
-            7.1468062698841095e-02 -6.0601238161325455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2473 -4.0227901190519333e-03</internalNodes>
-          <leafValues>
-            6.1269611120223999e-02 -4.4298589229583740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2474 7.8046880662441254e-03</internalNodes>
-          <leafValues>
-            -4.2839359492063522e-02 1.2119139730930328e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2475 -2.9384619556367397e-03</internalNodes>
-          <leafValues>
-            -1.6056729853153229e-01 1.4218579977750778e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2476 4.7694980166852474e-03</internalNodes>
-          <leafValues>
-            -1.9999140873551369e-02 2.1468199789524078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2477 6.9417068734765053e-03</internalNodes>
-          <leafValues>
-            2.2083880379796028e-02 -6.8389862775802612e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2478 -3.3458590041846037e-03</internalNodes>
-          <leafValues>
-            -2.1466180682182312e-01 2.0412910729646683e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2479 -2.8961960226297379e-02</internalNodes>
-          <leafValues>
-            -4.1232240200042725e-01 9.1418614611029625e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2480 -1.2559530325233936e-02</internalNodes>
-          <leafValues>
-            -3.8228130340576172e-01 9.3479985371232033e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2481 7.8233212232589722e-02</internalNodes>
-          <leafValues>
-            -1.4915429987013340e-02 2.4250149726867676e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2482 5.5003669112920761e-02</internalNodes>
-          <leafValues>
-            5.6673302315175533e-03 -6.4445608854293823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2483 -1.2113080359995365e-02</internalNodes>
-          <leafValues>
-            1.4756150543689728e-01 -2.7481930330395699e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2484 -9.3241877038963139e-05</internalNodes>
-          <leafValues>
-            7.1323297917842865e-02 -5.4497368633747101e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2485 -5.1809228025376797e-03</internalNodes>
-          <leafValues>
-            -1.9661720097064972e-01 1.0387259535491467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2486 2.8799069114029408e-03</internalNodes>
-          <leafValues>
-            2.2689169272780418e-02 -1.8536199629306793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2487 1.4433950127568096e-04</internalNodes>
-          <leafValues>
-            -1.6389660537242889e-01 1.3282339274883270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2488 -2.9764540959149599e-03</internalNodes>
-          <leafValues>
-            1.9814909994602203e-01 -2.2932359948754311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2489 -1.7436200752854347e-02</internalNodes>
-          <leafValues>
-            -1. 1.6758659621700644e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2490 -9.5769818872213364e-03</internalNodes>
-          <leafValues>
-            -6.0397851467132568e-01 5.7854237966239452e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2491 2.6807630434632301e-02</internalNodes>
-          <leafValues>
-            -1.4236460439860821e-02 3.6326110363006592e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2492 -9.0954907238483429e-02</internalNodes>
-          <leafValues>
-            5.9409832954406738e-01 -5.7622790336608887e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2493 9.7699109464883804e-03</internalNodes>
-          <leafValues>
-            1.0967959649860859e-02 -9.0999282896518707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2494 6.5793031826615334e-03</internalNodes>
-          <leafValues>
-            2.2652110084891319e-02 -1.7030160129070282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2495 -7.5635597109794617e-02</internalNodes>
-          <leafValues>
-            6.6555428504943848e-01 -2.2662319242954254e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2496 9.9336117506027222e-02</internalNodes>
-          <leafValues>
-            -1.7142260447144508e-02 2.3149140179157257e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2497 1.6461970284581184e-02</internalNodes>
-          <leafValues>
-            -4.0686290711164474e-02 8.8516846299171448e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2498 -7.6298139989376068e-02</internalNodes>
-          <leafValues>
-            1.9077619910240173e-01 -2.1715249866247177e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2499 -2.1418400108814240e-01</internalNodes>
-          <leafValues>
-            6.8394792079925537e-01 -2.8622080571949482e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2500 2.5286169722676277e-02</internalNodes>
-          <leafValues>
-            -1.6091799736022949e-01 3.1155489385128021e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2501 1.4956890046596527e-01</internalNodes>
-          <leafValues>
-            -1.0683029890060425e-02 2.1775540709495544e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2502 2.9672959446907043e-01</internalNodes>
-          <leafValues>
-            -7.5341230258345604e-03 5.3798502683639526e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2503 1.5840710699558258e-01</internalNodes>
-          <leafValues>
-            -2.0367559045553207e-03 7.8343671560287476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2504 -2.0454709883779287e-03</internalNodes>
-          <leafValues>
-            -1.6811850666999817e-01 2.5403629988431931e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2505 1.4253250556066632e-03</internalNodes>
-          <leafValues>
-            -1.9209619611501694e-02 9.9919341504573822e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2506 -6.2084808945655823e-02</internalNodes>
-          <leafValues>
-            -3.2638630270957947e-01 1.5010939911007881e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2507 5.3531691431999207e-02</internalNodes>
-          <leafValues>
-            1.5144430100917816e-02 -1.2006749957799911e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2508 1.0787569917738438e-02</internalNodes>
-          <leafValues>
-            -3.1277839094400406e-02 1.4318579435348511e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2509 -1.3449840247631073e-02</internalNodes>
-          <leafValues>
-            1.5218019485473633e-01 -2.7612710371613503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2510 1.1931080371141434e-02</internalNodes>
-          <leafValues>
-            2.9722340404987335e-02 -1.5517580509185791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2511 -4.5196209102869034e-02</internalNodes>
-          <leafValues>
-            -1.8409070372581482e-01 8.7686460465192795e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2512 6.5672039985656738e-02</internalNodes>
-          <leafValues>
-            -6.2955729663372040e-03 7.0492321252822876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2513 7.7328020706772804e-03</internalNodes>
-          <leafValues>
-            -4.4531129300594330e-02 8.6046911776065826e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2514 -3.0604829080402851e-03</internalNodes>
-          <leafValues>
-            1.0113420337438583e-01 -4.2885549366474152e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2515 8.2347340881824493e-02</internalNodes>
-          <leafValues>
-            3.0522139277309179e-03 -2.3243139684200287e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2516 -6.9534480571746826e-03</internalNodes>
-          <leafValues>
-            5.7797849178314209e-02 -7.6140359044075012e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2517 -1.4939639717340469e-02</internalNodes>
-          <leafValues>
-            6.9081947207450867e-02 -4.3814908713102341e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2518 1.1418660171329975e-02</internalNodes>
-          <leafValues>
-            -3.2972648739814758e-02 1.6681009531021118e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2519 2.5770820677280426e-02</internalNodes>
-          <leafValues>
-            -4.2302068322896957e-02 1.1955089867115021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2520 -8.1753218546509743e-03</internalNodes>
-          <leafValues>
-            9.1556102037429810e-02 -5.3072091192007065e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2521 -2.1397249773144722e-02</internalNodes>
-          <leafValues>
-            2.0224739611148834e-01 -2.8093929868191481e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2522 1.2690890580415726e-03</internalNodes>
-          <leafValues>
-            -3.5791151225566864e-02 1.2621949613094330e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2523 8.2354843616485596e-03</internalNodes>
-          <leafValues>
-            3.1432591378688812e-02 -5.5796068161725998e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2524 4.4060330837965012e-02</internalNodes>
-          <leafValues>
-            1.2473659589886665e-02 -3.6804640293121338e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2525 1.0450479749124497e-04</internalNodes>
-          <leafValues>
-            -4.5484520494937897e-02 3.2811541110277176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2526 -6.3033318147063255e-03</internalNodes>
-          <leafValues>
-            1.3801789283752441e-01 -3.1995330005884171e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>415</maxWeakCount>
-      <stageThreshold>-1.3446700572967529e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 2527 -2.7316650375723839e-02</internalNodes>
-          <leafValues>
-            2.7487730979919434e-01 -1.5850859880447388e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2528 7.6439790427684784e-03</internalNodes>
-          <leafValues>
-            -7.4583776295185089e-02 1.5125609934329987e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2529 -6.9862797856330872e-02</internalNodes>
-          <leafValues>
-            2.8707519173622131e-01 -8.9994929730892181e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2530 -1.0788509994745255e-01</internalNodes>
-          <leafValues>
-            -3.3596950769424438e-01 2.0893020555377007e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2531 -1.5034900046885014e-02</internalNodes>
-          <leafValues>
-            8.6543716490268707e-02 -2.3165270686149597e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2532 1.7096489667892456e-02</internalNodes>
-          <leafValues>
-            1.2342380359768867e-02 3.7771260738372803e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2533 -2.1886809263378382e-03</internalNodes>
-          <leafValues>
-            1.5675470232963562e-01 -1.1138690263032913e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2534 -2.4373169988393784e-02</internalNodes>
-          <leafValues>
-            2.1010430157184601e-01 -1.4367789961397648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2535 -8.1659909337759018e-03</internalNodes>
-          <leafValues>
-            1.7865429818630219e-01 -9.5783412456512451e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2536 -7.5612151995301247e-03</internalNodes>
-          <leafValues>
-            2.5702549144625664e-02 -7.9344697296619415e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2537 -6.5740081481635571e-04</internalNodes>
-          <leafValues>
-            -1.4089170098304749e-01 8.0607332289218903e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2538 -8.8607652287464589e-05</internalNodes>
-          <leafValues>
-            7.5460836291313171e-02 -1.8756809830665588e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2539 6.2588072614744306e-04</internalNodes>
-          <leafValues>
-            4.6485811471939087e-02 -2.5176569819450378e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2540 -1.2103809975087643e-02</internalNodes>
-          <leafValues>
-            1.3484419882297516e-01 -8.9047953486442566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2541 -6.8692131899297237e-03</internalNodes>
-          <leafValues>
-            2.1173520386219025e-01 -6.5386101603507996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2542 5.6604170240461826e-03</internalNodes>
-          <leafValues>
-            -1.3595540076494217e-02 1.8750169873237610e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2543 -9.4631352112628520e-05</internalNodes>
-          <leafValues>
-            5.0867721438407898e-02 -1.8780030310153961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2544 3.4878090955317020e-03</internalNodes>
-          <leafValues>
-            -5.1359388977289200e-02 1.1506889760494232e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2545 -9.4707533717155457e-03</internalNodes>
-          <leafValues>
-            9.8822489380836487e-02 -9.3697369098663330e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2546 1.4385590329766273e-02</internalNodes>
-          <leafValues>
-            -7.8755013644695282e-02 3.1363941729068756e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2547 -1.4251519460231066e-03</internalNodes>
-          <leafValues>
-            1.4444510638713837e-01 -6.3101217150688171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2548 3.6899289116263390e-03</internalNodes>
-          <leafValues>
-            2.3989859968423843e-02 -3.2146468758583069e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2549 -6.8723889999091625e-03</internalNodes>
-          <leafValues>
-            -2.5446730852127075e-01 3.3128850162029266e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2550 2.4660020135343075e-03</internalNodes>
-          <leafValues>
-            -4.3644420802593231e-02 1.4037939906120300e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2551 9.1303391382098198e-03</internalNodes>
-          <leafValues>
-            2.3647300899028778e-02 -3.7906241416931152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2552 -3.0127069912850857e-03</internalNodes>
-          <leafValues>
-            2.3551990091800690e-01 -4.2731329798698425e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2553 1.1245849542319775e-02</internalNodes>
-          <leafValues>
-            2.3805119097232819e-02 -3.1765449047088623e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2554 4.4033519923686981e-02</internalNodes>
-          <leafValues>
-            1.5065879561007023e-02 -2.5235170125961304e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2555 -4.1104990988969803e-02</internalNodes>
-          <leafValues>
-            -2.5063040852546692e-01 3.0693089589476585e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2556 -3.6634609103202820e-02</internalNodes>
-          <leafValues>
-            1.9319459795951843e-01 -4.1235551238059998e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2557 1.4633010141551495e-02</internalNodes>
-          <leafValues>
-            -6.6459119319915771e-02 1.5650509297847748e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2558 6.3870670273900032e-03</internalNodes>
-          <leafValues>
-            -2.6944689452648163e-02 3.7887599319219589e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2559 -8.5294283926486969e-03</internalNodes>
-          <leafValues>
-            7.7619388699531555e-02 -1.0268399864435196e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2560 1.0175130330026150e-02</internalNodes>
-          <leafValues>
-            2.1145140752196312e-02 -2.7438971400260925e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2561 4.6252820640802383e-02</internalNodes>
-          <leafValues>
-            -3.2085079699754715e-02 2.9516988992691040e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2562 -2.0645210519433022e-02</internalNodes>
-          <leafValues>
-            9.0427830815315247e-02 -3.8768420927226543e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2563 -1.8383029848337173e-02</internalNodes>
-          <leafValues>
-            -3.1522661447525024e-01 3.0239699408411980e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2564 -7.0474706590175629e-02</internalNodes>
-          <leafValues>
-            8.4262803196907043e-02 -9.4253793358802795e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2565 2.8779879212379456e-02</internalNodes>
-          <leafValues>
-            -4.3083410710096359e-02 2.5382921099662781e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2566 -3.9638858288526535e-03</internalNodes>
-          <leafValues>
-            -3.0343660712242126e-01 2.6317149400711060e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2567 -7.3942821472883224e-03</internalNodes>
-          <leafValues>
-            -4.3046790361404419e-01 1.5894040465354919e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2568 -3.9092078804969788e-02</internalNodes>
-          <leafValues>
-            -4.6360069513320923e-01 1.1617040261626244e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2569 -4.2651049792766571e-02</internalNodes>
-          <leafValues>
-            -4.4052749872207642e-01 1.4934539794921875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2570 -3.2970950007438660e-02</internalNodes>
-          <leafValues>
-            -3.4874680638313293e-01 -3.7375820102170110e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2571 -1.3688179664313793e-02</internalNodes>
-          <leafValues>
-            2.4025470018386841e-01 -3.0663989484310150e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2572 3.6174680572003126e-03</internalNodes>
-          <leafValues>
-            -4.3150220066308975e-02 1.1144080013036728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2573 -1.8408719450235367e-02</internalNodes>
-          <leafValues>
-            -3.0483740568161011e-01 2.2827899083495140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2574 8.4504440426826477e-02</internalNodes>
-          <leafValues>
-            -9.5612574368715286e-03 2.0102660357952118e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2575 3.1940080225467682e-02</internalNodes>
-          <leafValues>
-            2.8196170926094055e-02 -2.6275300979614258e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2576 -5.6045739911496639e-03</internalNodes>
-          <leafValues>
-            9.5459349453449249e-02 -7.0795007050037384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2577 -2.7486490085721016e-02</internalNodes>
-          <leafValues>
-            -1.2586189806461334e-01 5.3209599107503891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2578 4.0080148726701736e-02</internalNodes>
-          <leafValues>
-            -1.9919050391763449e-03 2.6778548955917358e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2579 -6.0500898398458958e-03</internalNodes>
-          <leafValues>
-            1.0807660222053528e-01 -7.6502397656440735e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2580 1.6309870406985283e-02</internalNodes>
-          <leafValues>
-            3.1113339588046074e-02 -2.2906629741191864e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2581 -2.1269150078296661e-02</internalNodes>
-          <leafValues>
-            -2.7229338884353638e-01 2.6028970256447792e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2582 -1.1312039714539424e-04</internalNodes>
-          <leafValues>
-            5.4071560502052307e-02 -1.2318380177021027e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2583 -2.5106180459260941e-02</internalNodes>
-          <leafValues>
-            1.9082669913768768e-01 -4.0326580405235291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2584 -3.2266911119222641e-02</internalNodes>
-          <leafValues>
-            6.0755331069231033e-02 -2.3014400154352188e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2585 -1.5903979539871216e-02</internalNodes>
-          <leafValues>
-            6.6860802471637726e-02 -1.1064460128545761e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2586 6.2107760459184647e-03</internalNodes>
-          <leafValues>
-            8.0979540944099426e-03 -2.5538039207458496e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2587 -9.4095463282428682e-05</internalNodes>
-          <leafValues>
-            6.3928060233592987e-02 -1.1833990365266800e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2588 5.5843768641352654e-03</internalNodes>
-          <leafValues>
-            -5.0344880670309067e-02 1.4636759459972382e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2589 -7.3416143655776978e-02</internalNodes>
-          <leafValues>
-            -3.6426061391830444e-01 1.7588060349225998e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2590 7.9857250675559044e-03</internalNodes>
-          <leafValues>
-            -2.0407540723681450e-02 2.0582839846611023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2591 -4.6555800363421440e-03</internalNodes>
-          <leafValues>
-            1.1924490332603455e-01 -5.3060591220855713e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2592 -1.4567379839718342e-03</internalNodes>
-          <leafValues>
-            8.0878950655460358e-02 -3.4969870001077652e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2593 -4.0669189766049385e-03</internalNodes>
-          <leafValues>
-            1.3475550711154938e-01 -6.0763791203498840e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2594 -1.9439009483903646e-03</internalNodes>
-          <leafValues>
-            3.5232741385698318e-02 -1.8867930397391319e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2595 -2.1124959457665682e-03</internalNodes>
-          <leafValues>
-            9.3589469790458679e-02 -7.2769477963447571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2596 -4.3111350387334824e-03</internalNodes>
-          <leafValues>
-            2.3961730301380157e-02 -5.8411359786987305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2597 5.6312880478799343e-03</internalNodes>
-          <leafValues>
-            4.9782160669565201e-02 -1.3893429934978485e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2598 -2.9775509610772133e-02</internalNodes>
-          <leafValues>
-            -2.3828829824924469e-01 8.3421133458614349e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2599 -2.4996970314532518e-03</internalNodes>
-          <leafValues>
-            7.0528857409954071e-02 -8.8426813483238220e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2600 -4.1618719696998596e-02</internalNodes>
-          <leafValues>
-            -4.5704779028892517e-01 2.4038259289227426e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2601 -1.7385400831699371e-02</internalNodes>
-          <leafValues>
-            -2.1895749866962433e-01 2.9016839340329170e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2602 -1.5565169742330909e-03</internalNodes>
-          <leafValues>
-            3.5198878496885300e-02 -4.7955259680747986e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2603 1.1509309842949733e-04</internalNodes>
-          <leafValues>
-            -7.5342476367950439e-02 8.2199811935424805e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2604 4.9892379902303219e-03</internalNodes>
-          <leafValues>
-            5.8806170709431171e-03 -3.6068248748779297e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2605 -1.0128300345968455e-04</internalNodes>
-          <leafValues>
-            8.4276176989078522e-02 -6.8763136863708496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2606 9.9149248853791505e-05</internalNodes>
-          <leafValues>
-            -6.1370018869638443e-02 9.2962853610515594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2607 -7.4688978202175349e-05</internalNodes>
-          <leafValues>
-            6.6261902451515198e-02 -8.9723907411098480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2608 -1.1687710136175156e-01</internalNodes>
-          <leafValues>
-            -2.6946708559989929e-01 2.2773561067879200e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2609 -4.5594099909067154e-02</internalNodes>
-          <leafValues>
-            -2.1460740268230438e-01 2.7173580601811409e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2610 -2.0167430862784386e-02</internalNodes>
-          <leafValues>
-            -2.1186199784278870e-01 2.1692689508199692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2611 -2.0116599276661873e-02</internalNodes>
-          <leafValues>
-            -4.2579978704452515e-01 1.2864829972386360e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2612 1.0467610554769635e-03</internalNodes>
-          <leafValues>
-            3.5689130425453186e-02 -1.3110220432281494e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2613 -2.2577140480279922e-02</internalNodes>
-          <leafValues>
-            -2.8517609834671021e-01 1.9716870039701462e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2614 -1.6918679466471076e-03</internalNodes>
-          <leafValues>
-            -2.2059449553489685e-01 3.4719381481409073e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2615 -1.7014020122587681e-03</internalNodes>
-          <leafValues>
-            1.6053110361099243e-01 -3.8246080279350281e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2616 6.3295272411778569e-04</internalNodes>
-          <leafValues>
-            6.1598058789968491e-02 -1.5416809916496277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2617 6.3840970396995544e-03</internalNodes>
-          <leafValues>
-            -4.4685110449790955e-02 1.4613169431686401e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2618 1.1487339623272419e-02</internalNodes>
-          <leafValues>
-            -2.0203100517392159e-02 1.0990539938211441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2619 -9.9725337349809706e-05</internalNodes>
-          <leafValues>
-            8.8752306997776031e-02 -7.8050062060356140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2620 -1.3515730388462543e-02</internalNodes>
-          <leafValues>
-            1.2383879721164703e-01 -6.8068411201238632e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2621 -1.9129710271954536e-02</internalNodes>
-          <leafValues>
-            -4.0590089559555054e-01 1.4618029817938805e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2622 -3.4465670585632324e-02</internalNodes>
-          <leafValues>
-            2.8184041380882263e-01 -2.2152330726385117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2623 -2.0487470552325249e-02</internalNodes>
-          <leafValues>
-            8.6006246507167816e-02 -7.4289858341217041e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2624 2.1417900919914246e-02</internalNodes>
-          <leafValues>
-            -5.0567369908094406e-02 1.7608459293842316e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2625 1.0022870264947414e-04</internalNodes>
-          <leafValues>
-            -7.6136611402034760e-02 7.7453456819057465e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2626 -1.1440980015322566e-03</internalNodes>
-          <leafValues>
-            1.3106130063533783e-01 -5.9427108615636826e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2627 -1.4926489675417542e-03</internalNodes>
-          <leafValues>
-            1.1569160223007202e-01 -5.1303990185260773e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2628 -1.4178160345181823e-03</internalNodes>
-          <leafValues>
-            -1.1656679958105087e-01 3.6218471825122833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2629 -4.7570239752531052e-02</internalNodes>
-          <leafValues>
-            -3.0153951048851013e-01 1.7995720729231834e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2630 6.7516998387873173e-03</internalNodes>
-          <leafValues>
-            4.5671020634472370e-03 -3.2800048589706421e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2631 -9.9902870715595782e-05</internalNodes>
-          <leafValues>
-            6.2831349670886993e-02 -9.0242616832256317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2632 4.4691278599202633e-03</internalNodes>
-          <leafValues>
-            1.6881229355931282e-02 -2.5619581341743469e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2633 -1.5597039600834250e-03</internalNodes>
-          <leafValues>
-            1.5142050385475159e-01 -3.4283578395843506e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2634 -2.9167518950998783e-03</internalNodes>
-          <leafValues>
-            -2.3072950541973114e-01 1.3630339875817299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2635 9.9341967143118382e-05</internalNodes>
-          <leafValues>
-            -7.1005381643772125e-02 8.1697426736354828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2636 1.1012300092261285e-04</internalNodes>
-          <leafValues>
-            -3.6688800901174545e-02 5.5210899561643600e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2637 -1.2116230209358037e-04</internalNodes>
-          <leafValues>
-            7.6930791139602661e-02 -7.8013658523559570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2638 8.2692378782667220e-05</internalNodes>
-          <leafValues>
-            -6.9511868059635162e-02 5.4754100739955902e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2639 -5.7337670587003231e-03</internalNodes>
-          <leafValues>
-            -3.8145920634269714e-01 1.3249520212411880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2640 8.4541890828404576e-05</internalNodes>
-          <leafValues>
-            -5.8527629822492599e-02 5.2114509046077728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2641 -3.2148940954357386e-03</internalNodes>
-          <leafValues>
-            1.9818669557571411e-01 -2.7734709903597832e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2642 2.6157390326261520e-02</internalNodes>
-          <leafValues>
-            -2.9161190614104271e-02 9.3741878867149353e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2643 -1.4505890198051929e-02</internalNodes>
-          <leafValues>
-            -2.2876620292663574e-01 2.3291150107979774e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2644 8.5460231639444828e-04</internalNodes>
-          <leafValues>
-            -1.7463499680161476e-02 4.9941889941692352e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2645 -7.4818951543420553e-04</internalNodes>
-          <leafValues>
-            5.3755320608615875e-02 -1.2013070285320282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2646 2.7736639603972435e-02</internalNodes>
-          <leafValues>
-            -4.6890750527381897e-03 5.5901169776916504e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2647 3.9643929339945316e-03</internalNodes>
-          <leafValues>
-            -3.6292050033807755e-02 1.5132050216197968e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2648 -2.2398240398615599e-03</internalNodes>
-          <leafValues>
-            -3.6148559302091599e-02 1.3452059589326382e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2649 -3.9014678914099932e-03</internalNodes>
-          <leafValues>
-            1.1665710061788559e-01 -5.8023910969495773e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2650 7.8577287495136261e-03</internalNodes>
-          <leafValues>
-            -4.5177441090345383e-02 1.5682870149612427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2651 2.2638099268078804e-02</internalNodes>
-          <leafValues>
-            -1.3579820096492767e-01 4.2554739862680435e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2652 -2.5986449792981148e-02</internalNodes>
-          <leafValues>
-            1.7888210713863373e-01 -4.7442611306905746e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2653 1.9732700660824776e-02</internalNodes>
-          <leafValues>
-            -2.7600640431046486e-02 2.1244800090789795e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2654 -4.2725708335638046e-03</internalNodes>
-          <leafValues>
-            4.8975061625242233e-02 -6.9325067102909088e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2655 3.9207109808921814e-01</internalNodes>
-          <leafValues>
-            -1.2857420369982719e-02 4.3954390287399292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2656 -5.9483079239726067e-03</internalNodes>
-          <leafValues>
-            -3.7634629011154175e-01 8.6762178689241409e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2657 -8.9699737145565450e-05</internalNodes>
-          <leafValues>
-            7.6080530881881714e-02 -8.0823980271816254e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2658 -8.3298161625862122e-03</internalNodes>
-          <leafValues>
-            -1.1028739809989929e-01 1.4299210160970688e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2659 -1.1061090044677258e-02</internalNodes>
-          <leafValues>
-            2.3409999907016754e-01 -2.2986939176917076e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2660 -3.4027020446956158e-03</internalNodes>
-          <leafValues>
-            1.2203729897737503e-01 -2.9225839301943779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2661 8.6490763351321220e-05</internalNodes>
-          <leafValues>
-            -6.7251376807689667e-02 7.6228253543376923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2662 6.6004507243633270e-02</internalNodes>
-          <leafValues>
-            8.9948913082480431e-03 -1.1085270345211029e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2663 -6.1384908854961395e-02</internalNodes>
-          <leafValues>
-            -3.7708151340484619e-01 1.3758949935436249e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2664 2.2467050701379776e-02</internalNodes>
-          <leafValues>
-            1.3185550458729267e-02 -1.5804879367351532e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2665 -1.0128029622137547e-02</internalNodes>
-          <leafValues>
-            1.0872840136289597e-01 -5.3388658910989761e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2666 1.0057699866592884e-02</internalNodes>
-          <leafValues>
-            -4.2716991156339645e-02 1.2052679806947708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2667 -1.4173669740557671e-02</internalNodes>
-          <leafValues>
-            -2.0305970311164856e-01 2.4551179260015488e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2668 -2.3401159793138504e-02</internalNodes>
-          <leafValues>
-            -4.0858080983161926e-01 2.0997230894863605e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2669 -1.2913989834487438e-02</internalNodes>
-          <leafValues>
-            -3.5346880555152893e-01 1.3238550163805485e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2670 1.1887939646840096e-02</internalNodes>
-          <leafValues>
-            -2.4994270876049995e-02 1.0629689693450928e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2671 1.4728870242834091e-02</internalNodes>
-          <leafValues>
-            1.2584480457007885e-02 -3.5870888829231262e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2672 -2.6837689802050591e-03</internalNodes>
-          <leafValues>
-            5.5337000638246536e-02 -3.3083409070968628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2673 8.5124364122748375e-03</internalNodes>
-          <leafValues>
-            -5.2581608295440674e-02 1.2180329859256744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2674 -9.1770477592945099e-03</internalNodes>
-          <leafValues>
-            -3.4201860427856445e-01 8.0853570252656937e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2675 8.6409807205200195e-02</internalNodes>
-          <leafValues>
-            2.2997839376330376e-02 -2.0930939912796021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2676 -1.4614709652960300e-02</internalNodes>
-          <leafValues>
-            -3.1371870636940002e-01 8.6596552282571793e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2677 -1.0003909847000614e-04</internalNodes>
-          <leafValues>
-            4.7573979943990707e-02 -1.1311870068311691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2678 1.4839449431747198e-03</internalNodes>
-          <leafValues>
-            -5.4255820810794830e-02 7.0115558803081512e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2679 4.3706027790904045e-03</internalNodes>
-          <leafValues>
-            -4.4686149805784225e-02 1.2047159671783447e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2680 1.4132079482078552e-01</internalNodes>
-          <leafValues>
-            1.2737610377371311e-02 -1.4522150158882141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2681 2.4103390052914619e-02</internalNodes>
-          <leafValues>
-            -2.4701459333300591e-02 1.9275949895381927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2682 4.3824901804327965e-03</internalNodes>
-          <leafValues>
-            2.7143049985170364e-02 -1.6311520338058472e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2683 -1.0324969887733459e-01</internalNodes>
-          <leafValues>
-            -1.4729699492454529e-01 3.1285788863897324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2684 -5.8382350951433182e-02</internalNodes>
-          <leafValues>
-            9.8135061562061310e-02 -3.9102800190448761e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2685 -1.9191790372133255e-02</internalNodes>
-          <leafValues>
-            7.1935810148715973e-02 -8.2254111766815186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2686 1.6117200255393982e-02</internalNodes>
-          <leafValues>
-            -3.9202481508255005e-02 9.5867179334163666e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2687 -6.6582779400050640e-03</internalNodes>
-          <leafValues>
-            9.4062991440296173e-02 -5.7329818606376648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2688 -1.6119579970836639e-01</internalNodes>
-          <leafValues>
-            -1.7675599455833435e-01 1.3390669599175453e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2689 -1.6168789565563202e-01</internalNodes>
-          <leafValues>
-            2.7366220951080322e-01 -1.9569290801882744e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2690 -4.0631181001663208e-01</internalNodes>
-          <leafValues>
-            1.6015130281448364e-01 -3.3474721014499664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2691 2.6102520525455475e-02</internalNodes>
-          <leafValues>
-            -3.3659111708402634e-02 1.7118139564990997e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2692 2.0601820200681686e-02</internalNodes>
-          <leafValues>
-            1.6000960022211075e-02 -2.3066750168800354e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2693 1.0951990261673927e-02</internalNodes>
-          <leafValues>
-            2.4326240643858910e-02 -1.9323149323463440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2694 -1.5384820289909840e-02</internalNodes>
-          <leafValues>
-            1.2911400198936462e-01 -2.3152599111199379e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2695 9.1529190540313721e-03</internalNodes>
-          <leafValues>
-            -2.7552120387554169e-02 1.9494320452213287e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2696 5.8382698334753513e-03</internalNodes>
-          <leafValues>
-            -3.7690669298171997e-02 5.3948331624269485e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2697 -1.7356640100479126e-01</internalNodes>
-          <leafValues>
-            1.5356999635696411e-01 -3.3633600920438766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2698 7.6276779174804688e-02</internalNodes>
-          <leafValues>
-            1.5475229592993855e-03 -7.5983768701553345e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2699 -1.7654739320278168e-02</internalNodes>
-          <leafValues>
-            -1.5101839601993561e-01 3.4960251301527023e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2700 5.0020511262118816e-03</internalNodes>
-          <leafValues>
-            1.0976109653711319e-02 -1.1282850056886673e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2701 -7.6133022957947105e-05</internalNodes>
-          <leafValues>
-            6.5145239233970642e-02 -8.6627103388309479e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2702 8.4629254415631294e-03</internalNodes>
-          <leafValues>
-            -3.0137870460748672e-02 7.9518511891365051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2703 -5.5159530602395535e-03</internalNodes>
-          <leafValues>
-            1.1917640268802643e-01 -4.7046270221471786e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2704 -1.0923639871180058e-02</internalNodes>
-          <leafValues>
-            -2.0526829361915588e-01 1.4711259864270687e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2705 -1.1515899561345577e-02</internalNodes>
-          <leafValues>
-            -2.4651350080966949e-01 2.2872030735015869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2706 3.6823050322709605e-05</internalNodes>
-          <leafValues>
-            -6.6898003220558167e-02 7.6234780251979828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2707 -1.3713270425796509e-02</internalNodes>
-          <leafValues>
-            2.0567509531974792e-01 -2.3606160655617714e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2708 -5.5889528244733810e-02</internalNodes>
-          <leafValues>
-            -2.7449899911880493e-01 1.3196709565818310e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2709 -7.8329117968678474e-03</internalNodes>
-          <leafValues>
-            -3.5972028970718384e-01 1.2990689836442471e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2710 -7.7925767982378602e-04</internalNodes>
-          <leafValues>
-            -1.4078480005264282e-01 4.9385368824005127e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2711 -5.0162840634584427e-03</internalNodes>
-          <leafValues>
-            1.9255110621452332e-01 -2.6873560622334480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2712 8.3736347733065486e-04</internalNodes>
-          <leafValues>
-            6.6555291414260864e-02 -1.9420300424098969e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2713 -3.5831771790981293e-02</internalNodes>
-          <leafValues>
-            8.7871067225933075e-02 -5.5707920342683792e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2714 -2.4628289975225925e-03</internalNodes>
-          <leafValues>
-            -2.0921580493450165e-01 1.8114559352397919e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2715 9.1072899522259831e-05</internalNodes>
-          <leafValues>
-            -6.9014422595500946e-02 8.4240511059761047e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2716 -9.2241833044681698e-05</internalNodes>
-          <leafValues>
-            4.5415610074996948e-02 -3.6202490329742432e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2717 -9.7194097179453820e-05</internalNodes>
-          <leafValues>
-            8.1714563071727753e-02 -7.3729299008846283e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2718 -1.4691230654716492e-01</internalNodes>
-          <leafValues>
-            4.7253649681806564e-02 -1.1035589873790741e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2719 4.6493168920278549e-03</internalNodes>
-          <leafValues>
-            -2.2682029753923416e-02 2.3072040081024170e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2720 -3.0784970149397850e-02</internalNodes>
-          <leafValues>
-            1.5000149607658386e-01 -8.1769423559308052e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2721 4.7821208834648132e-02</internalNodes>
-          <leafValues>
-            1.2351839803159237e-02 -3.6188510060310364e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2722 9.8456286650616676e-05</internalNodes>
-          <leafValues>
-            -3.4333311021327972e-02 4.0087040513753891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2723 1.0053080040961504e-04</internalNodes>
-          <leafValues>
-            -6.2489669770002365e-02 6.9051243364810944e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2724 -1.1028290027752519e-03</internalNodes>
-          <leafValues>
-            1.1222849786281586e-01 -4.7414951026439667e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2725 -1.0884639777941629e-04</internalNodes>
-          <leafValues>
-            7.9145051538944244e-02 -7.1242846548557281e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2726 7.7682570554316044e-03</internalNodes>
-          <leafValues>
-            8.4031699225306511e-03 -1.8451359868049622e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2727 -1.0334140388295054e-03</internalNodes>
-          <leafValues>
-            7.7164746820926666e-02 -5.5574499070644379e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2728 -3.0169570818543434e-03</internalNodes>
-          <leafValues>
-            6.5370842814445496e-02 -6.8895407021045685e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2729 4.2601529508829117e-02</internalNodes>
-          <leafValues>
-            9.5762135460972786e-03 -4.5295569300651550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2730 8.9718572795391083e-02</internalNodes>
-          <leafValues>
-            5.8670719154179096e-03 -6.6131949424743652e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2731 -1.9257919630035758e-03</internalNodes>
-          <leafValues>
-            1.2355759739875793e-01 -3.5531468689441681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2732 -4.6729970723390579e-02</internalNodes>
-          <leafValues>
-            -3.8210949301719666e-01 2.5716701056808233e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2733 -1.9390480592846870e-02</internalNodes>
-          <leafValues>
-            -2.6054370403289795e-01 1.8408829346299171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2734 -3.3818829804658890e-02</internalNodes>
-          <leafValues>
-            -8.3000667393207550e-02 1.8959350883960724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2735 -2.7817259542644024e-03</internalNodes>
-          <leafValues>
-            5.1791708916425705e-02 -9.4872772693634033e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2736 6.0290079563856125e-03</internalNodes>
-          <leafValues>
-            -4.2852569371461868e-02 8.8055506348609924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2737 -6.8631009198725224e-03</internalNodes>
-          <leafValues>
-            1.6017200052738190e-01 -3.7203401327133179e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2738 1.1772879958152771e-01</internalNodes>
-          <leafValues>
-            -1.8191840499639511e-03 6.7784088850021362e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2739 9.8577737808227539e-02</internalNodes>
-          <leafValues>
-            -6.5248049795627594e-03 6.2354952096939087e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2740 -1.1462450027465820e-02</internalNodes>
-          <leafValues>
-            -1.9901570677757263e-01 8.0179795622825623e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2741 -1.6331799328327179e-01</internalNodes>
-          <leafValues>
-            9.0368956327438354e-02 -5.3411129862070084e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2742 -7.8257713466882706e-03</internalNodes>
-          <leafValues>
-            7.4546746909618378e-02 -1.3470030389726162e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2743 8.9898668229579926e-03</internalNodes>
-          <leafValues>
-            1.2299000285565853e-02 -3.7481948733329773e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2744 -5.6645218282938004e-02</internalNodes>
-          <leafValues>
-            3.5397979617118835e-01 -2.1140910685062408e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2745 -4.2577688582241535e-03</internalNodes>
-          <leafValues>
-            9.0883523225784302e-02 -5.0522129982709885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2746 -7.0387452840805054e-02</internalNodes>
-          <leafValues>
-            8.3182856440544128e-02 -1.1604440398514271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2747 -1.3627569377422333e-01</internalNodes>
-          <leafValues>
-            -4.9146878719329834e-01 9.1721685603260994e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2748 -3.8915369659662247e-02</internalNodes>
-          <leafValues>
-            6.6144913434982300e-02 -2.0414689555764198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2749 -8.5782501846551895e-03</internalNodes>
-          <leafValues>
-            -1.2900049984455109e-01 4.2405869811773300e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2750 4.3098080903291702e-02</internalNodes>
-          <leafValues>
-            -1.8007570877671242e-02 2.4129959940910339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2751 -3.3460808917880058e-03</internalNodes>
-          <leafValues>
-            1.4778639376163483e-01 -3.3262528479099274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2752 5.3540067747235298e-03</internalNodes>
-          <leafValues>
-            1.4319010078907013e-02 -2.9529830813407898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2753 -1.1729090329026803e-04</internalNodes>
-          <leafValues>
-            5.7986699044704437e-02 -7.5029499828815460e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2754 -1.3683609664440155e-01</internalNodes>
-          <leafValues>
-            -2.7513518929481506e-01 8.0752503126859665e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2755 5.7693019509315491e-02</internalNodes>
-          <leafValues>
-            -1.1471459642052650e-02 3.7974670529365540e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2756 2.1746279671788216e-02</internalNodes>
-          <leafValues>
-            2.2382160648703575e-02 -5.4663319140672684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2757 -5.4478328675031662e-02</internalNodes>
-          <leafValues>
-            -5.7317501306533813e-01 8.2423100247979164e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2758 2.3975670337677002e-02</internalNodes>
-          <leafValues>
-            -2.3942779749631882e-02 1.8982769548892975e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2759 -3.4061338752508163e-02</internalNodes>
-          <leafValues>
-            -9.0856909751892090e-02 4.9854729324579239e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2760 5.6406371295452118e-03</internalNodes>
-          <leafValues>
-            -2.4469649791717529e-01 1.9837260246276855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2761 1.5809290111064911e-01</internalNodes>
-          <leafValues>
-            -1.3730409555137157e-02 3.8538208603858948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2762 -1.7964139580726624e-02</internalNodes>
-          <leafValues>
-            -7.9316347837448120e-02 1.2321749702095985e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2763 -1.1972050182521343e-02</internalNodes>
-          <leafValues>
-            -1.4300990104675293e-01 3.0117489397525787e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2764 1.3162150047719479e-02</internalNodes>
-          <leafValues>
-            1.1303279548883438e-02 -1.7486180365085602e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2765 -8.5265472531318665e-02</internalNodes>
-          <leafValues>
-            -3.9678549766540527e-01 1.0860330425202847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2766 1.7804340459406376e-03</internalNodes>
-          <leafValues>
-            -3.9756961166858673e-02 1.1241979897022247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2767 -9.3962233222555369e-05</internalNodes>
-          <leafValues>
-            6.7450180649757385e-02 -6.8437807261943817e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2768 -2.9045040719211102e-03</internalNodes>
-          <leafValues>
-            -1.5429930388927460e-01 1.6898680478334427e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2769 1.0914620361290872e-04</internalNodes>
-          <leafValues>
-            -6.4099319279193878e-02 8.4356158971786499e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2770 -2.6563489809632301e-02</internalNodes>
-          <leafValues>
-            -2.3420210182666779e-01 6.7638568580150604e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2771 5.8761797845363617e-03</internalNodes>
-          <leafValues>
-            4.1062418371438980e-02 -1.1332540214061737e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2772 1.6818059608340263e-02</internalNodes>
-          <leafValues>
-            -3.7261139601469040e-02 1.0307539999485016e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2773 -6.8439432652667165e-05</internalNodes>
-          <leafValues>
-            7.6601967215538025e-02 -6.5059483051300049e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2774 5.9544979594647884e-03</internalNodes>
-          <leafValues>
-            -5.1745139062404633e-02 1.1782070249319077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2775 2.4542519822716713e-02</internalNodes>
-          <leafValues>
-            -4.4502120465040207e-02 1.3515689969062805e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2776 -1.7439179122447968e-02</internalNodes>
-          <leafValues>
-            -3.5987889766693115e-01 4.2388997972011566e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2777 8.4699690341949463e-02</internalNodes>
-          <leafValues>
-            -9.4887204468250275e-03 4.8985049128532410e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2778 5.8426469564437866e-02</internalNodes>
-          <leafValues>
-            -1.7764889635145664e-03 2.4012650549411774e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2779 -4.6921251341700554e-03</internalNodes>
-          <leafValues>
-            -1.8347929418087006e-01 2.4366600438952446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2780 1.6189800226129591e-04</internalNodes>
-          <leafValues>
-            -1.5806570649147034e-02 6.0901619493961334e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2781 9.7161885350942612e-03</internalNodes>
-          <leafValues>
-            -1.5758480876684189e-02 3.3742859959602356e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2782 -1.4382590306922793e-03</internalNodes>
-          <leafValues>
-            -1.2217970192432404e-01 3.5345770418643951e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2783 7.7670789323747158e-05</internalNodes>
-          <leafValues>
-            -6.2246508896350861e-02 7.3040649294853210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2784 -4.1573401540517807e-02</internalNodes>
-          <leafValues>
-            4.1148650646209717e-01 -4.6173711307346821e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2785 1.1024770356016234e-04</internalNodes>
-          <leafValues>
-            -9.3715772032737732e-02 5.2691221237182617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2786 1.0518720373511314e-03</internalNodes>
-          <leafValues>
-            4.0317419916391373e-02 -1.0210459679365158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2787 8.7676383554935455e-02</internalNodes>
-          <leafValues>
-            1.8454900011420250e-02 -2.4232000112533569e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2788 -3.1262669712305069e-02</internalNodes>
-          <leafValues>
-            -4.8824569582939148e-01 6.7201550118625164e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2789 3.5472500603646040e-03</internalNodes>
-          <leafValues>
-            -4.7451101243495941e-02 9.8277866840362549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2790 -6.1450069770216942e-03</internalNodes>
-          <leafValues>
-            -3.8893818855285645e-01 8.0250157043337822e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2791 -1.1112130014225841e-03</internalNodes>
-          <leafValues>
-            1.2668809294700623e-01 -4.1672218590974808e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2792 -2.4048870429396629e-02</internalNodes>
-          <leafValues>
-            -1.9376470148563385e-01 7.5982958078384399e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2793 -1.1609439738094807e-02</internalNodes>
-          <leafValues>
-            8.7421193718910217e-02 -5.1379751414060593e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2794 -4.6341970562934875e-02</internalNodes>
-          <leafValues>
-            2.9603001475334167e-01 -7.7182101085782051e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2795 -1.9600499421358109e-02</internalNodes>
-          <leafValues>
-            -3.0478379130363464e-01 1.4669680036604404e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2796 -2.6132878847420216e-03</internalNodes>
-          <leafValues>
-            8.9694216847419739e-02 -2.9012639075517654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2797 3.4202230162918568e-03</internalNodes>
-          <leafValues>
-            3.9998780936002731e-02 -1.0716559737920761e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2798 1.2173360300948843e-04</internalNodes>
-          <leafValues>
-            -3.2719809561967850e-02 3.9863388985395432e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2799 -8.2835118519142270e-05</internalNodes>
-          <leafValues>
-            6.9058813154697418e-02 -6.5140433609485626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2800 -8.8672131299972534e-02</internalNodes>
-          <leafValues>
-            -2.5951391458511353e-01 2.3857909254729748e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2801 5.6452948600053787e-02</internalNodes>
-          <leafValues>
-            -2.4432990700006485e-02 1.9439670443534851e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2802 3.5284429788589478e-02</internalNodes>
-          <leafValues>
-            -6.3825729303061962e-03 1.3022419810295105e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2803 3.3733129967004061e-03</internalNodes>
-          <leafValues>
-            4.5979738235473633e-02 -1.0800649970769882e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2804 2.8562510851770639e-03</internalNodes>
-          <leafValues>
-            1.6703339293599129e-02 -3.4011591225862503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2805 -1.4414669713005424e-03</internalNodes>
-          <leafValues>
-            9.9324166774749756e-02 -4.2529720813035965e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2806 -8.5116196423768997e-03</internalNodes>
-          <leafValues>
-            -7.5509257614612579e-02 1.0203289799392223e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2807 -9.2428773641586304e-03</internalNodes>
-          <leafValues>
-            -1.5811079740524292e-01 2.5361889973282814e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2808 -2.8794261161237955e-03</internalNodes>
-          <leafValues>
-            7.9453438520431519e-02 -2.7514219284057617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2809 1.0851400293176994e-04</internalNodes>
-          <leafValues>
-            -6.1319191008806229e-02 7.4100911617279053e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2810 1.7776450514793396e-01</internalNodes>
-          <leafValues>
-            -1.4268799684941769e-02 1.2164130061864853e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2811 -1.7149469256401062e-01</internalNodes>
-          <leafValues>
-            1.5083140134811401e-01 -3.4926589578390121e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2812 1.5180290210992098e-04</internalNodes>
-          <leafValues>
-            -4.1534621268510818e-02 4.2376600205898285e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2813 6.3419649377465248e-03</internalNodes>
-          <leafValues>
-            2.2105900570750237e-02 -2.1631160378456116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2814 1.3935989700257778e-02</internalNodes>
-          <leafValues>
-            5.4779318161308765e-03 -2.5664830207824707e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2815 -9.7202723845839500e-03</internalNodes>
-          <leafValues>
-            -2.7872490882873535e-01 1.5381219796836376e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2816 -2.7980960905551910e-02</internalNodes>
-          <leafValues>
-            -8.6809730529785156e-01 1.1637150309979916e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2817 3.6777809727936983e-03</internalNodes>
-          <leafValues>
-            -4.3908510357141495e-02 9.6896052360534668e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2818 -3.1721419654786587e-03</internalNodes>
-          <leafValues>
-            -2.4078020453453064e-01 1.3723400421440601e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2819 -3.9061410352587700e-03</internalNodes>
-          <leafValues>
-            1.7140209674835205e-01 -2.2317929193377495e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2820 9.6693192608654499e-04</internalNodes>
-          <leafValues>
-            3.2951351255178452e-02 -1.0080079734325409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2821 -8.9019339065998793e-04</internalNodes>
-          <leafValues>
-            -1.1009719967842102e-01 3.8997169584035873e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2822 -1.1497789993882179e-02</internalNodes>
-          <leafValues>
-            3.3927921205759048e-02 -3.9842899888753891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2823 -7.9675206507090479e-05</internalNodes>
-          <leafValues>
-            7.7203802764415741e-02 -6.1698041856288910e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2824 8.9554538135416806e-05</internalNodes>
-          <leafValues>
-            -5.7938948273658752e-02 6.7448146641254425e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2825 -5.9674619697034359e-03</internalNodes>
-          <leafValues>
-            1.0244590044021606e-01 -3.9467670023441315e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2826 8.7341177277266979e-05</internalNodes>
-          <leafValues>
-            -5.9245120733976364e-02 6.4863033592700958e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2827 7.7206510468386114e-05</internalNodes>
-          <leafValues>
-            -7.0006839931011200e-02 6.3901223242282867e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2828 -3.6013379693031311e-02</internalNodes>
-          <leafValues>
-            -2.0447410643100739e-01 1.5239260159432888e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2829 -5.5890497751533985e-03</internalNodes>
-          <leafValues>
-            1.5467870235443115e-01 -2.6221899315714836e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2830 -3.0190621037036180e-03</internalNodes>
-          <leafValues>
-            1.1821600049734116e-01 -1.9682880491018295e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2831 -1.0563310206634924e-04</internalNodes>
-          <leafValues>
-            3.9622470736503601e-02 -1.0212220251560211e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2832 2.9260979965329170e-02</internalNodes>
-          <leafValues>
-            9.6228392794728279e-03 -7.9048648476600647e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2833 -2.4363890290260315e-02</internalNodes>
-          <leafValues>
-            -1.2736499309539795e-01 3.2335508614778519e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2834 6.9917208747938275e-04</internalNodes>
-          <leafValues>
-            6.5614067018032074e-02 -2.3335599899291992e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2835 -1.6459520906209946e-02</internalNodes>
-          <leafValues>
-            1.3085840642452240e-01 -3.2097321003675461e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2836 3.0983570031821728e-03</internalNodes>
-          <leafValues>
-            -3.2258279621601105e-02 5.0043828785419464e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2837 -3.2638181000947952e-02</internalNodes>
-          <leafValues>
-            -2.7409970760345459e-01 1.4894080348312855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2838 1.5158359892666340e-03</internalNodes>
-          <leafValues>
-            -1.7136910930275917e-02 8.1351801753044128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2839 -2.5613330304622650e-02</internalNodes>
-          <leafValues>
-            4.1096380352973938e-01 -9.7792968153953552e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2840 -1.3288609916344285e-03</internalNodes>
-          <leafValues>
-            -1.2679819762706757e-01 3.7426289170980453e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2841 -1.9732659682631493e-02</internalNodes>
-          <leafValues>
-            -5.6787997484207153e-01 6.9732400588691235e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2842 2.7425400912761688e-02</internalNodes>
-          <leafValues>
-            -4.0334589779376984e-02 9.4880692660808563e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2843 -6.8159690126776695e-03</internalNodes>
-          <leafValues>
-            1.0129919648170471e-01 -4.9294691532850266e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2844 -9.7623662441037595e-05</internalNodes>
-          <leafValues>
-            5.7613339275121689e-02 -4.3638128787279129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2845 7.9219877079594880e-05</internalNodes>
-          <leafValues>
-            -6.2002480030059814e-02 7.0036582648754120e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2846 -9.2277792282402515e-04</internalNodes>
-          <leafValues>
-            -7.1099899709224701e-02 2.3343959823250771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2847 1.0547949932515621e-03</internalNodes>
-          <leafValues>
-            3.8641069084405899e-02 -1.1528919637203217e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2848 1.1142979928990826e-04</internalNodes>
-          <leafValues>
-            -4.3857090175151825e-02 5.0205580890178680e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2849 -1.1004459811374545e-03</internalNodes>
-          <leafValues>
-            8.3625599741935730e-02 -4.6221289783716202e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2850 -2.0133139565587044e-02</internalNodes>
-          <leafValues>
-            -1.8197959661483765e-01 1.9399069249629974e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2851 2.5024140253663063e-02</internalNodes>
-          <leafValues>
-            1.1270459741353989e-02 -3.4410759806632996e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2852 -4.4190499931573868e-02</internalNodes>
-          <leafValues>
-            2.9248470067977905e-01 -1.4849469996988773e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2853 -5.7440258562564850e-02</internalNodes>
-          <leafValues>
-            4.7087571024894714e-01 -7.9044541344046593e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2854 1.4867359772324562e-02</internalNodes>
-          <leafValues>
-            -1.9268039613962173e-02 1.1098550260066986e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2855 1.9520210335031152e-03</internalNodes>
-          <leafValues>
-            -3.4362699836492538e-02 1.1349079757928848e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2856 -1.3590609654784203e-02</internalNodes>
-          <leafValues>
-            -7.9360902309417725e-01 1.8023570301011205e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2857 -2.6812639553099871e-03</internalNodes>
-          <leafValues>
-            1.6896739602088928e-01 -2.6089740917086601e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2858 -8.6407686467282474e-05</internalNodes>
-          <leafValues>
-            6.1775680631399155e-02 -4.4603981077671051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2859 1.2983200140297413e-03</internalNodes>
-          <leafValues>
-            3.4938950091600418e-02 -1.1019679903984070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2860 2.6221210137009621e-03</internalNodes>
-          <leafValues>
-            -3.2050449401140213e-02 6.8139947950839996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2861 1.2280650436878204e-02</internalNodes>
-          <leafValues>
-            1.2359930202364922e-02 -2.9862219095230103e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2862 -5.0658849067986012e-03</internalNodes>
-          <leafValues>
-            -2.8093919157981873e-01 2.4003749713301659e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2863 -1.0383049811935052e-04</internalNodes>
-          <leafValues>
-            6.0894660651683807e-02 -7.0253036916255951e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2864 9.8692486062645912e-03</internalNodes>
-          <leafValues>
-            6.2764049507677555e-03 -3.6045169830322266e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2865 -9.1246962256263942e-05</internalNodes>
-          <leafValues>
-            6.3636362552642822e-02 -6.4670093357563019e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2866 -7.5011849403381348e-03</internalNodes>
-          <leafValues>
-            9.5473609864711761e-02 -3.6763638257980347e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2867 -1.4745439589023590e-01</internalNodes>
-          <leafValues>
-            -7.9214060306549072e-01 5.0740689039230347e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2868 -2.1300138905644417e-03</internalNodes>
-          <leafValues>
-            1.0333529859781265e-01 -4.2891681194305420e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2869 2.5524429511278868e-03</internalNodes>
-          <leafValues>
-            -4.1929069906473160e-02 8.7996013462543488e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2870 5.8139938861131668e-02</internalNodes>
-          <leafValues>
-            1.2611810117959976e-02 -3.0331811308860779e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2871 2.3743009194731712e-02</internalNodes>
-          <leafValues>
-            -2.9802089557051659e-02 1.2322849780321121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2872 -6.2248498201370239e-02</internalNodes>
-          <leafValues>
-            1.1110640317201614e-01 -2.0817250013351440e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2873 -9.1270900156814605e-05</internalNodes>
-          <leafValues>
-            6.4382009208202362e-02 -6.0937818139791489e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2874 -3.9082568138837814e-02</internalNodes>
-          <leafValues>
-            5.6695652008056641e-01 -1.1460679816082120e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2875 1.3248370029032230e-02</internalNodes>
-          <leafValues>
-            1.2405660003423691e-02 -3.0858299136161804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2876 -5.0235718488693237e-02</internalNodes>
-          <leafValues>
-            1.6084699332714081e-01 -3.1474840361624956e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2877 8.1979725509881973e-03</internalNodes>
-          <leafValues>
-            -4.3110638856887817e-02 8.3337813615798950e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2878 4.5282919891178608e-03</internalNodes>
-          <leafValues>
-            -1.4737699925899506e-01 2.2266879677772522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2879 -7.0286458358168602e-03</internalNodes>
-          <leafValues>
-            -2.1665599942207336e-01 1.8082590773701668e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2880 3.2996211200952530e-02</internalNodes>
-          <leafValues>
-            -1.1144799739122391e-01 3.5693738609552383e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2881 6.9042239338159561e-03</internalNodes>
-          <leafValues>
-            -3.2669480890035629e-02 1.2693080306053162e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2882 6.4168781973421574e-03</internalNodes>
-          <leafValues>
-            1.3405409641563892e-02 -2.2676290571689606e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2883 3.2765600830316544e-02</internalNodes>
-          <leafValues>
-            -2.0737469196319580e-02 2.0090930163860321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2884 -6.9006122648715973e-02</internalNodes>
-          <leafValues>
-            -4.8873770236968994e-01 2.5993511080741882e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2885 -1.5318569785449654e-04</internalNodes>
-          <leafValues>
-            6.9251857697963715e-02 -6.4636163413524628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2886 1.3968399725854397e-02</internalNodes>
-          <leafValues>
-            2.3769039660692215e-02 -1.3656540215015411e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2887 2.4323699995875359e-02</internalNodes>
-          <leafValues>
-            9.9094482138752937e-03 -3.6789679527282715e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2888 5.3771991282701492e-02</internalNodes>
-          <leafValues>
-            -3.4769340418279171e-03 5.6615811586380005e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2889 3.7300360854715109e-03</internalNodes>
-          <leafValues>
-            1.1731130070984364e-02 -3.5765179991722107e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2890 -5.9517208486795425e-02</internalNodes>
-          <leafValues>
-            -4.9590829014778137e-01 1.2971699470654130e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2891 7.5328880921006203e-03</internalNodes>
-          <leafValues>
-            -3.6959148943424225e-02 1.0903140157461166e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2892 2.3298559244722128e-03</internalNodes>
-          <leafValues>
-            1.4677469618618488e-02 -1.8427179753780365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2893 -1.3588890433311462e-03</internalNodes>
-          <leafValues>
-            1.1983290314674377e-01 -4.0848769247531891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2894 -6.9162257015705109e-02</internalNodes>
-          <leafValues>
-            9.9982842803001404e-02 -2.2005759179592133e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2895 -1.0890520364046097e-01</internalNodes>
-          <leafValues>
-            3.5323360562324524e-01 -1.1501859873533249e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2896 3.4343260526657104e-01</internalNodes>
-          <leafValues>
-            -1.7977360635995865e-02 2.3037150502204895e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2897 -6.6631078720092773e-01</internalNodes>
-          <leafValues>
-            -4.3691501021385193e-01 1.1366610415279865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2898 -4.5054171234369278e-02</internalNodes>
-          <leafValues>
-            3.2915808260440826e-02 -8.5535138845443726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2899 -1.4088810421526432e-02</internalNodes>
-          <leafValues>
-            5.3100470453500748e-02 -7.7183209359645844e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2900 -9.3094259500503540e-03</internalNodes>
-          <leafValues>
-            1.2417539954185486e-01 -3.2946839928627014e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2901 1.4807860367000103e-02</internalNodes>
-          <leafValues>
-            -7.0644028484821320e-02 8.1475563347339630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2902 1.0399249941110611e-01</internalNodes>
-          <leafValues>
-            -1.4924500137567520e-02 1.8357430398464203e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2903 1.9406999647617340e-01</internalNodes>
-          <leafValues>
-            -6.4371521584689617e-03 6.0971242189407349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2904 -3.8064900785684586e-02</internalNodes>
-          <leafValues>
-            -5.2255958318710327e-01 5.7811117731034756e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2905 -6.6563528962433338e-03</internalNodes>
-          <leafValues>
-            9.4871222972869873e-02 -3.9789460599422455e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2906 -1.0609209857648239e-04</internalNodes>
-          <leafValues>
-            4.5516170561313629e-02 -4.1418150067329407e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2907 7.0871852338314056e-02</internalNodes>
-          <leafValues>
-            9.3520022928714752e-03 -3.6439558863639832e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2908 1.2085449881851673e-02</internalNodes>
-          <leafValues>
-            2.3465529084205627e-02 -1.4409939944744110e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2909 -9.9468030384741724e-05</internalNodes>
-          <leafValues>
-            5.7956721633672714e-02 -6.0917779803276062e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2910 1.6888909740373492e-03</internalNodes>
-          <leafValues>
-            -4.6765789389610291e-02 1.9036899507045746e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2911 -9.8317061201669276e-05</internalNodes>
-          <leafValues>
-            7.2646446526050568e-02 -5.8051958680152893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2912 8.1128161400556564e-03</internalNodes>
-          <leafValues>
-            -4.0620859712362289e-02 9.7611181437969208e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2913 1.7255520448088646e-02</internalNodes>
-          <leafValues>
-            1.7161769792437553e-02 -2.4358719587326050e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2914 3.1692821532487869e-02</internalNodes>
-          <leafValues>
-            1.1967140249907970e-02 -2.9160520434379578e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2915 -9.4834472984075546e-03</internalNodes>
-          <leafValues>
-            -1.4566260576248169e-01 3.1208310276269913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2916 1.8280290532857180e-03</internalNodes>
-          <leafValues>
-            -1.4711730182170868e-02 5.5668108165264130e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2917 8.6632797319907695e-05</internalNodes>
-          <leafValues>
-            -6.1156060546636581e-02 7.0974543690681458e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2918 2.5025049224495888e-02</internalNodes>
-          <leafValues>
-            -1.3397550210356712e-02 1.0556930303573608e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2919 5.5940490216016769e-02</internalNodes>
-          <leafValues>
-            -1.4789390377700329e-02 2.4960540235042572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2920 1.6337510198354721e-02</internalNodes>
-          <leafValues>
-            -5.6752599775791168e-02 1.3382770121097565e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2921 -4.5972689986228943e-01</internalNodes>
-          <leafValues>
-            -7.1287852525711060e-01 4.9509857781231403e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2922 -6.5172776579856873e-02</internalNodes>
-          <leafValues>
-            -8.2543537020683289e-02 1.5198189765214920e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2923 -2.6704780757427216e-02</internalNodes>
-          <leafValues>
-            -2.0916239917278290e-01 1.8581379204988480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2924 1.8495510518550873e-01</internalNodes>
-          <leafValues>
-            1.8260549986734986e-03 -3.9183071255683899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2925 9.5611862838268280e-02</internalNodes>
-          <leafValues>
-            -1.5232330188155174e-02 3.0041059851646423e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2926 5.4745167493820190e-01</internalNodes>
-          <leafValues>
-            6.3382647931575775e-03 -6.2035357952117920e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2927 7.9493559896945953e-03</internalNodes>
-          <leafValues>
-            -6.2048658728599548e-02 6.1209429055452347e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2928 2.7175021171569824e-01</internalNodes>
-          <leafValues>
-            -1.6191200120374560e-03 5.8006882667541504e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2929 1.3671410083770752e-01</internalNodes>
-          <leafValues>
-            1.4446510002017021e-02 -2.6299729943275452e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2930 2.3144269362092018e-02</internalNodes>
-          <leafValues>
-            1.5177230350673199e-02 -3.3594930171966553e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2931 -1.4187960186973214e-03</internalNodes>
-          <leafValues>
-            9.5409370958805084e-02 -3.6757789552211761e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2932 -1.8819719552993774e-02</internalNodes>
-          <leafValues>
-            -4.0184121578931808e-02 1.3270259834825993e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2933 -8.1724688410758972e-02</internalNodes>
-          <leafValues>
-            3.2492980360984802e-01 -1.1558920145034790e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2934 -8.0951452255249023e-03</internalNodes>
-          <leafValues>
-            -2.6765230298042297e-01 1.4577089808881283e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2935 -8.2515813119243830e-05</internalNodes>
-          <leafValues>
-            3.8213159888982773e-02 -9.2825122177600861e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2936 4.9149271100759506e-02</internalNodes>
-          <leafValues>
-            -1.1441200040280819e-02 1.3343520462512970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2937 5.3070918656885624e-03</internalNodes>
-          <leafValues>
-            -3.0889939516782761e-02 1.2001869827508926e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2938 1.2434639967978001e-02</internalNodes>
-          <leafValues>
-            1.0091929696500301e-02 -1.6182650625705719e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2939 1.3028579996898770e-03</internalNodes>
-          <leafValues>
-            -5.6219980120658875e-02 6.6662617027759552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2940 -1.0949189774692059e-02</internalNodes>
-          <leafValues>
-            -2.1038089692592621e-01 2.1130399778485298e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2941 -1.5839550644159317e-02</internalNodes>
-          <leafValues>
-            -3.2079550623893738e-01 1.0882910341024399e-02</leafValues></_></weakClassifiers></_></stages>
-  <features>
-    <_>
-      <rects>
-        <_>
-          3 0 12 12 -1.</_>
-        <_>
-          3 4 12 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 5 -1.</_>
-        <_>
-          16 0 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 8 -1.</_>
-        <_>
-          7 8 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 5 -1.</_>
-        <_>
-          1 0 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 2 -1.</_>
-        <_>
-          3 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 4 -1.</_>
-        <_>
-          8 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 3 -1.</_>
-        <_>
-          8 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 4 1 -1.</_>
-        <_>
-          8 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 12 2 -1.</_>
-        <_>
-          6 11 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 8 -1.</_>
-        <_>
-          6 2 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 6 -1.</_>
-        <_>
-          4 3 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 12 -1.</_>
-        <_>
-          7 4 4 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          2 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 7 -1.</_>
-        <_>
-          9 0 1 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 6 -1.</_>
-        <_>
-          4 4 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 9 2 -1.</_>
-        <_>
-          9 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 6 -1.</_>
-        <_>
-          6 3 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 2 -1.</_>
-        <_>
-          10 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 2 -1.</_>
-        <_>
-          0 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 3 -1.</_>
-        <_>
-          14 5 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 3 -1.</_>
-        <_>
-          2 5 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 4 1 -1.</_>
-        <_>
-          9 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 4 1 -1.</_>
-        <_>
-          7 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 3 3 -1.</_>
-        <_>
-          15 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 6 -1.</_>
-        <_>
-          3 2 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 9 -1.</_>
-        <_>
-          8 5 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 9 -1.</_>
-        <_>
-          6 4 6 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 1 -1.</_>
-        <_>
-          15 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 8 4 4 -1.</_>
-        <_>
-          14 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 3 9 -1.</_>
-        <_>
-          0 5 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 6 2 -1.</_>
-        <_>
-          0 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 4 -1.</_>
-        <_>
-          9 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 2 -1.</_>
-        <_>
-          9 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 8 2 -1.</_>
-        <_>
-          12 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 6 1 -1.</_>
-        <_>
-          7 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          7 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 9 3 3 -1.</_>
-        <_>
-          15 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 2 -1.</_>
-        <_>
-          8 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 5 -1.</_>
-        <_>
-          14 4 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 5 -1.</_>
-        <_>
-          2 4 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 16 8 -1.</_>
-        <_>
-          5 3 8 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 7 3 -1.</_>
-        <_>
-          5 3 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 6 -1.</_>
-        <_>
-          3 3 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 2 -1.</_>
-        <_>
-          8 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 6 4 -1.</_>
-        <_>
-          6 5 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 4 -1.</_>
-        <_>
-          0 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          16 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          6 4 6 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 4 -1.</_>
-        <_>
-          9 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 4 -1.</_>
-        <_>
-          2 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 8 -1.</_>
-        <_>
-          8 8 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 4 -1.</_>
-        <_>
-          8 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          8 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 4 -1.</_>
-        <_>
-          5 0 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 3 2 -1.</_>
-        <_>
-          9 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 3 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 2 -1.</_>
-        <_>
-          0 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 3 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          3 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 3 -1.</_>
-        <_>
-          6 0 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 6 2 -1.</_>
-        <_>
-          0 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          8 1 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 5 9 3 -1.</_>
-        <_>
-          5 5 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 3 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 3 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 5 -1.</_>
-        <_>
-          10 0 4 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 3 -1.</_>
-        <_>
-          0 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 4 -1.</_>
-        <_>
-          12 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 4 -1.</_>
-        <_>
-          8 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 1 -1.</_>
-        <_>
-          6 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 4 -1.</_>
-        <_>
-          12 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          1 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 4 -1.</_>
-        <_>
-          12 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 3 -1.</_>
-        <_>
-          6 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 16 3 -1.</_>
-        <_>
-          4 9 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          0 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 2 -1.</_>
-        <_>
-          5 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 3 -1.</_>
-        <_>
-          2 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 6 -1.</_>
-        <_>
-          5 4 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          6 4 6 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 6 -1.</_>
-        <_>
-          3 9 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 5 -1.</_>
-        <_>
-          1 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 6 -1.</_>
-        <_>
-          4 3 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 4 -1.</_>
-        <_>
-          15 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          7 2 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 6 -1.</_>
-        <_>
-          8 4 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 8 -1.</_>
-        <_>
-          2 0 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 3 -1.</_>
-        <_>
-          4 6 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 2 -1.</_>
-        <_>
-          10 4 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 8 4 -1.</_>
-        <_>
-          10 10 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 4 -1.</_>
-        <_>
-          5 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 15 3 -1.</_>
-        <_>
-          8 0 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 5 4 -1.</_>
-        <_>
-          0 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 3 -1.</_>
-        <_>
-          9 0 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 8 -1.</_>
-        <_>
-          0 3 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 3 -1.</_>
-        <_>
-          12 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 4 3 -1.</_>
-        <_>
-          4 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 1 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 3 -1.</_>
-        <_>
-          3 3 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 4 -1.</_>
-        <_>
-          9 6 9 2 2.</_>
-        <_>
-          0 8 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 3 -1.</_>
-        <_>
-          6 0 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 4 -1.</_>
-        <_>
-          6 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 3 -1.</_>
-        <_>
-          9 0 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 3 -1.</_>
-        <_>
-          3 0 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 2 -1.</_>
-        <_>
-          2 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 11 14 1 -1.</_>
-        <_>
-          4 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 14 1 -1.</_>
-        <_>
-          7 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 6 -1.</_>
-        <_>
-          15 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 1 -1.</_>
-        <_>
-          5 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 2 -1.</_>
-        <_>
-          11 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 6 -1.</_>
-        <_>
-          0 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 7 -1.</_>
-        <_>
-          16 5 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 7 -1.</_>
-        <_>
-          1 5 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 4 3 -1.</_>
-        <_>
-          14 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 4 3 -1.</_>
-        <_>
-          2 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 2 -1.</_>
-        <_>
-          9 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 4 2 -1.</_>
-        <_>
-          7 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 3 -1.</_>
-        <_>
-          12 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 3 -1.</_>
-        <_>
-          6 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 2 -1.</_>
-        <_>
-          0 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 6 -1.</_>
-        <_>
-          5 2 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 11 4 -1.</_>
-        <_>
-          3 1 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 2 -1.</_>
-        <_>
-          15 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 2 -1.</_>
-        <_>
-          0 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          8 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          8 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 1 -1.</_>
-        <_>
-          9 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 1 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 12 12 -1.</_>
-        <_>
-          7 0 6 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 3 -1.</_>
-        <_>
-          8 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 1 3 -1.</_>
-        <_>
-          1 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 1 -1.</_>
-        <_>
-          10 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 7 -1.</_>
-        <_>
-          2 5 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 7 4 -1.</_>
-        <_>
-          6 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 9 -1.</_>
-        <_>
-          3 4 12 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 3 -1.</_>
-        <_>
-          8 5 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 4 -1.</_>
-        <_>
-          4 0 4 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 6 -1.</_>
-        <_>
-          3 9 12 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 4 -1.</_>
-        <_>
-          5 4 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 4 -1.</_>
-        <_>
-          1 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 3 -1.</_>
-        <_>
-          12 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 4 3 -1.</_>
-        <_>
-          6 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 6 -1.</_>
-        <_>
-          3 3 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 3 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          11 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 3 -1.</_>
-        <_>
-          3 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          11 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 4 -1.</_>
-        <_>
-          5 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 18 4 -1.</_>
-        <_>
-          9 7 9 2 2.</_>
-        <_>
-          0 9 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 1 2 -1.</_>
-        <_>
-          7 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 4 -1.</_>
-        <_>
-          17 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 4 -1.</_>
-        <_>
-          0 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 5 -1.</_>
-        <_>
-          16 4 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 1 -1.</_>
-        <_>
-          6 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 5 -1.</_>
-        <_>
-          16 4 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 5 -1.</_>
-        <_>
-          1 4 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 4 1 -1.</_>
-        <_>
-          11 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 6 3 -1.</_>
-        <_>
-          7 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 3 -1.</_>
-        <_>
-          11 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 3 -1.</_>
-        <_>
-          7 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 4 2 -1.</_>
-        <_>
-          11 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 4 2 -1.</_>
-        <_>
-          5 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 1 4 -1.</_>
-        <_>
-          17 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 4 -1.</_>
-        <_>
-          5 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 3 -1.</_>
-        <_>
-          9 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 2 -1.</_>
-        <_>
-          3 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          3 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 2 -1.</_>
-        <_>
-          5 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 6 -1.</_>
-        <_>
-          6 2 6 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 8 -1.</_>
-        <_>
-          0 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 2 -1.</_>
-        <_>
-          4 5 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 4 3 -1.</_>
-        <_>
-          13 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 10 3 -1.</_>
-        <_>
-          4 8 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 3 -1.</_>
-        <_>
-          13 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          8 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 6 1 -1.</_>
-        <_>
-          8 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 3 -1.</_>
-        <_>
-          4 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 9 6 -1.</_>
-        <_>
-          9 6 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 2 1 -1.</_>
-        <_>
-          4 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 12 6 -1.</_>
-        <_>
-          8 6 4 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 12 4 -1.</_>
-        <_>
-          3 8 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 3 -1.</_>
-        <_>
-          11 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          6 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 6 2 -1.</_>
-        <_>
-          7 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 2 -1.</_>
-        <_>
-          6 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 12 10 -1.</_>
-        <_>
-          3 2 6 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 4 4 -1.</_>
-        <_>
-          14 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 11 8 -1.</_>
-        <_>
-          0 8 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 6 -1.</_>
-        <_>
-          3 2 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 12 9 -1.</_>
-        <_>
-          4 5 12 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 4 -1.</_>
-        <_>
-          0 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 10 -1.</_>
-        <_>
-          9 1 9 5 2.</_>
-        <_>
-          0 6 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 3 3 -1.</_>
-        <_>
-          3 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 3 -1.</_>
-        <_>
-          12 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 7 3 2 -1.</_>
-        <_>
-          6 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 3 1 -1.</_>
-        <_>
-          10 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 4 -1.</_>
-        <_>
-          1 7 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 3 7 -1.</_>
-        <_>
-          12 3 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 9 9 -1.</_>
-        <_>
-          7 4 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 4 -1.</_>
-        <_>
-          9 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 5 -1.</_>
-        <_>
-          3 0 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 4 -1.</_>
-        <_>
-          3 2 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 2 -1.</_>
-        <_>
-          5 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 1 6 -1.</_>
-        <_>
-          9 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 6 2 -1.</_>
-        <_>
-          6 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          0 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 4 -1.</_>
-        <_>
-          0 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 1 -1.</_>
-        <_>
-          11 5 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 6 -1.</_>
-        <_>
-          4 3 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 3 -1.</_>
-        <_>
-          11 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          7 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 10 1 2 -1.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 1 2 -1.</_>
-        <_>
-          2 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 11 6 1 -1.</_>
-        <_>
-          8 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          16 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          8 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          6 4 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 4 -1.</_>
-        <_>
-          6 1 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 4 -1.</_>
-        <_>
-          9 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 4 -1.</_>
-        <_>
-          7 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 1 -1.</_>
-        <_>
-          9 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 16 4 -1.</_>
-        <_>
-          0 6 8 2 2.</_>
-        <_>
-          8 8 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          16 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 2 -1.</_>
-        <_>
-          2 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          16 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 2 -1.</_>
-        <_>
-          0 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 3 -1.</_>
-        <_>
-          5 1 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 4 -1.</_>
-        <_>
-          4 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          1 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 2 -1.</_>
-        <_>
-          5 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 18 8 -1.</_>
-        <_>
-          6 4 6 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 2 -1.</_>
-        <_>
-          2 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 3 -1.</_>
-        <_>
-          12 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 4 3 -1.</_>
-        <_>
-          4 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 8 -1.</_>
-        <_>
-          9 2 9 4 2.</_>
-        <_>
-          0 6 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 3 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 8 7 -1.</_>
-        <_>
-          12 5 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 4 -1.</_>
-        <_>
-          4 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 8 7 -1.</_>
-        <_>
-          12 5 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 4 -1.</_>
-        <_>
-          6 4 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 4 -1.</_>
-        <_>
-          16 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 2 -1.</_>
-        <_>
-          4 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 3 -1.</_>
-        <_>
-          5 2 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 3 -1.</_>
-        <_>
-          3 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 12 10 -1.</_>
-        <_>
-          9 2 6 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 12 2 -1.</_>
-        <_>
-          4 9 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 12 10 -1.</_>
-        <_>
-          9 2 6 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 12 10 -1.</_>
-        <_>
-          3 2 6 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 12 8 -1.</_>
-        <_>
-          0 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 6 -1.</_>
-        <_>
-          4 2 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 3 -1.</_>
-        <_>
-          7 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          0 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 2 -1.</_>
-        <_>
-          7 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          8 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 6 -1.</_>
-        <_>
-          16 6 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 6 -1.</_>
-        <_>
-          1 6 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 4 -1.</_>
-        <_>
-          16 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 4 -1.</_>
-        <_>
-          0 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 4 -1.</_>
-        <_>
-          6 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 2 -1.</_>
-        <_>
-          7 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 5 -1.</_>
-        <_>
-          13 5 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 7 -1.</_>
-        <_>
-          8 2 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 5 -1.</_>
-        <_>
-          13 5 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 5 3 -1.</_>
-        <_>
-          5 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 2 -1.</_>
-        <_>
-          9 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 1 3 -1.</_>
-        <_>
-          8 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 4 -1.</_>
-        <_>
-          16 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 4 2 -1.</_>
-        <_>
-          3 11 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          0 0 9 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 1 -1.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 4 1 -1.</_>
-        <_>
-          7 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 12 4 -1.</_>
-        <_>
-          4 2 4 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 4 -1.</_>
-        <_>
-          4 6 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 9 -1.</_>
-        <_>
-          0 3 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 7 -1.</_>
-        <_>
-          16 3 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 7 -1.</_>
-        <_>
-          1 3 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 3 2 -1.</_>
-        <_>
-          14 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 1 -1.</_>
-        <_>
-          9 2 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 4 -1.</_>
-        <_>
-          3 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 8 -1.</_>
-        <_>
-          14 4 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 8 -1.</_>
-        <_>
-          2 4 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 1 2 -1.</_>
-        <_>
-          14 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 2 1 -1.</_>
-        <_>
-          4 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 6 -1.</_>
-        <_>
-          6 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 1 3 -1.</_>
-        <_>
-          5 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 6 -1.</_>
-        <_>
-          6 4 6 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 6 -1.</_>
-        <_>
-          8 6 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 5 -1.</_>
-        <_>
-          2 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 6 -1.</_>
-        <_>
-          3 4 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 9 -1.</_>
-        <_>
-          4 3 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 1 -1.</_>
-        <_>
-          9 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 2 -1.</_>
-        <_>
-          13 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 1 -1.</_>
-        <_>
-          9 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 6 -1.</_>
-        <_>
-          0 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 3 -1.</_>
-        <_>
-          12 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 4 3 -1.</_>
-        <_>
-          4 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 1 2 -1.</_>
-        <_>
-          13 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 1 -1.</_>
-        <_>
-          5 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 1 -1.</_>
-        <_>
-          12 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 6 -1.</_>
-        <_>
-          3 3 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 1 6 -1.</_>
-        <_>
-          17 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 6 -1.</_>
-        <_>
-          0 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 1 -1.</_>
-        <_>
-          12 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 2 1 -1.</_>
-        <_>
-          5 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 2 -1.</_>
-        <_>
-          6 5 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 8 4 -1.</_>
-        <_>
-          4 0 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 3 -1.</_>
-        <_>
-          0 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          6 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 4 -1.</_>
-        <_>
-          5 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 3 3 -1.</_>
-        <_>
-          14 10 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 3 -1.</_>
-        <_>
-          5 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 2 4 -1.</_>
-        <_>
-          15 6 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 8 3 1 -1.</_>
-        <_>
-          6 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 6 3 -1.</_>
-        <_>
-          12 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 4 -1.</_>
-        <_>
-          6 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 2 -1.</_>
-        <_>
-          10 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 6 3 -1.</_>
-        <_>
-          7 5 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 6 -1.</_>
-        <_>
-          16 5 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 9 1 -1.</_>
-        <_>
-          12 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 4 -1.</_>
-        <_>
-          5 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 3 -1.</_>
-        <_>
-          6 0 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 4 -1.</_>
-        <_>
-          6 9 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 1 6 -1.</_>
-        <_>
-          15 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 2 -1.</_>
-        <_>
-          8 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 4 3 -1.</_>
-        <_>
-          14 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 4 -1.</_>
-        <_>
-          5 0 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 9 4 3 -1.</_>
-        <_>
-          14 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 4 3 -1.</_>
-        <_>
-          0 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 6 -1.</_>
-        <_>
-          14 8 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 6 -1.</_>
-        <_>
-          0 7 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 6 -1.</_>
-        <_>
-          10 4 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 10 -1.</_>
-        <_>
-          6 1 3 5 2.</_>
-        <_>
-          9 6 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 2 6 -1.</_>
-        <_>
-          16 5 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 6 -1.</_>
-        <_>
-          1 5 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 2 -1.</_>
-        <_>
-          13 0 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 5 -1.</_>
-        <_>
-          5 0 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 8 -1.</_>
-        <_>
-          6 8 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 2 -1.</_>
-        <_>
-          5 10 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 3 -1.</_>
-        <_>
-          8 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 4 2 -1.</_>
-        <_>
-          10 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 4 -1.</_>
-        <_>
-          8 5 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          8 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          8 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 3 -1.</_>
-        <_>
-          0 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 4 -1.</_>
-        <_>
-          1 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 8 -1.</_>
-        <_>
-          3 2 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 9 -1.</_>
-        <_>
-          3 3 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 10 -1.</_>
-        <_>
-          16 0 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 2 2 -1.</_>
-        <_>
-          3 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 2 -1.</_>
-        <_>
-          16 9 1 1 2.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 2 -1.</_>
-        <_>
-          16 9 1 1 2.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 6 2.</_>
-        <_>
-          0 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 6 -1.</_>
-        <_>
-          0 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 2 -1.</_>
-        <_>
-          10 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 2 -1.</_>
-        <_>
-          6 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 1 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 10 1 -1.</_>
-        <_>
-          2 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 1 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 1 2 -1.</_>
-        <_>
-          2 2 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 6 -1.</_>
-        <_>
-          11 4 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 6 2 -1.</_>
-        <_>
-          7 4 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 2 -1.</_>
-        <_>
-          10 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 2 2 -1.</_>
-        <_>
-          7 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 2 -1.</_>
-        <_>
-          10 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 11 -1.</_>
-        <_>
-          8 0 2 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 2 -1.</_>
-        <_>
-          10 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 6 2 -1.</_>
-        <_>
-          6 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 4 -1.</_>
-        <_>
-          14 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 4 -1.</_>
-        <_>
-          14 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 4 4 -1.</_>
-        <_>
-          0 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 4 -1.</_>
-        <_>
-          14 1 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 3 -1.</_>
-        <_>
-          4 1 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 10 3 -1.</_>
-        <_>
-          5 0 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 6 2 -1.</_>
-        <_>
-          7 2 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 2 -1.</_>
-        <_>
-          3 1 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 3 -1.</_>
-        <_>
-          5 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 8 7 -1.</_>
-        <_>
-          12 5 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 8 7 -1.</_>
-        <_>
-          2 5 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 6 2 -1.</_>
-        <_>
-          14 8 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 6 2 -1.</_>
-        <_>
-          2 8 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 1 -1.</_>
-        <_>
-          6 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 8 4 -1.</_>
-        <_>
-          5 5 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 6 -1.</_>
-        <_>
-          16 0 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 16 4 -1.</_>
-        <_>
-          5 2 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 6 -1.</_>
-        <_>
-          1 0 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 4 -1.</_>
-        <_>
-          3 2 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 1 -1.</_>
-        <_>
-          11 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 12 2 -1.</_>
-        <_>
-          3 11 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 1 -1.</_>
-        <_>
-          11 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 8 3 -1.</_>
-        <_>
-          3 0 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 3 -1.</_>
-        <_>
-          11 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          6 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 6 4 -1.</_>
-        <_>
-          13 5 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 1 -1.</_>
-        <_>
-          9 3 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 3 -1.</_>
-        <_>
-          14 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          4 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 4 -1.</_>
-        <_>
-          11 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 3 -1.</_>
-        <_>
-          4 4 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 2 2 -1.</_>
-        <_>
-          12 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 2 -1.</_>
-        <_>
-          6 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 3 -1.</_>
-        <_>
-          14 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 4 -1.</_>
-        <_>
-          5 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 6 -1.</_>
-        <_>
-          14 8 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 3 -1.</_>
-        <_>
-          5 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 6 -1.</_>
-        <_>
-          14 5 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 6 -1.</_>
-        <_>
-          2 5 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          6 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 2 2 -1.</_>
-        <_>
-          4 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 6 -1.</_>
-        <_>
-          5 2 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 5 2 -1.</_>
-        <_>
-          6 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 4 4 -1.</_>
-        <_>
-          11 8 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 3 -1.</_>
-        <_>
-          8 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 1 2 -1.</_>
-        <_>
-          15 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 4 -1.</_>
-        <_>
-          0 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 9 -1.</_>
-        <_>
-          15 5 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 3 9 -1.</_>
-        <_>
-          0 5 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 3 -1.</_>
-        <_>
-          8 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 4 -1.</_>
-        <_>
-          0 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 2 -1.</_>
-        <_>
-          6 3 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          3 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 1 -1.</_>
-        <_>
-          14 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 9 -1.</_>
-        <_>
-          2 0 8 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 15 12 -1.</_>
-        <_>
-          6 0 5 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 3 -1.</_>
-        <_>
-          13 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 3 -1.</_>
-        <_>
-          4 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 3 -1.</_>
-        <_>
-          14 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 3 2 -1.</_>
-        <_>
-          4 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 1 -1.</_>
-        <_>
-          14 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 4 -1.</_>
-        <_>
-          4 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 5 -1.</_>
-        <_>
-          13 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 5 -1.</_>
-        <_>
-          3 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          9 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 10 -1.</_>
-        <_>
-          9 2 9 5 2.</_>
-        <_>
-          0 7 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 2 -1.</_>
-        <_>
-          0 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 2 -1.</_>
-        <_>
-          8 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 3 -1.</_>
-        <_>
-          6 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 2 -1.</_>
-        <_>
-          15 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 3 -1.</_>
-        <_>
-          3 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 4 7 -1.</_>
-        <_>
-          14 5 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 7 -1.</_>
-        <_>
-          2 5 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 3 -1.</_>
-        <_>
-          10 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 1 2 -1.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          9 4 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 3 -1.</_>
-        <_>
-          8 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 4 -1.</_>
-        <_>
-          3 5 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 4 -1.</_>
-        <_>
-          5 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 4 -1.</_>
-        <_>
-          10 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 3 -1.</_>
-        <_>
-          6 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 5 -1.</_>
-        <_>
-          1 6 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 7 -1.</_>
-        <_>
-          16 5 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 4 8 -1.</_>
-        <_>
-          1 4 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 6 4 -1.</_>
-        <_>
-          12 4 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 4 -1.</_>
-        <_>
-          0 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 1 2 -1.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 1 2 -1.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 8 3 -1.</_>
-        <_>
-          7 2 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          7 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 8 -1.</_>
-        <_>
-          9 3 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 6 4 6 -1.</_>
-        <_>
-          0 8 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 4 2 -1.</_>
-        <_>
-          11 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 9 3 -1.</_>
-        <_>
-          4 8 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 3 -1.</_>
-        <_>
-          8 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 2 -1.</_>
-        <_>
-          0 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 4 2 -1.</_>
-        <_>
-          11 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 8 -1.</_>
-        <_>
-          8 3 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 3 -1.</_>
-        <_>
-          7 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 3 -1.</_>
-        <_>
-          10 5 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 2 -1.</_>
-        <_>
-          0 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 2 -1.</_>
-        <_>
-          15 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 4 2 -1.</_>
-        <_>
-          11 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 4 2 -1.</_>
-        <_>
-          5 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 2 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 8 1 -1.</_>
-        <_>
-          8 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          0 0 9 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          8 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 3 1 -1.</_>
-        <_>
-          9 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 3 1 -1.</_>
-        <_>
-          8 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 2 1 3 -1.</_>
-        <_>
-          17 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 3 -1.</_>
-        <_>
-          0 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 2 -1.</_>
-        <_>
-          6 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 2 -1.</_>
-        <_>
-          8 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 6 2.</_>
-        <_>
-          0 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 6 4 -1.</_>
-        <_>
-          6 6 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 1 -1.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 16 1 -1.</_>
-        <_>
-          8 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 8 -1.</_>
-        <_>
-          15 0 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 1 -1.</_>
-        <_>
-          2 0 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 8 -1.</_>
-        <_>
-          15 0 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 3 8 -1.</_>
-        <_>
-          2 0 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 3 -1.</_>
-        <_>
-          16 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 4 -1.</_>
-        <_>
-          5 0 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          14 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          2 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 6 -1.</_>
-        <_>
-          9 4 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 4 -1.</_>
-        <_>
-          4 4 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 16 1 -1.</_>
-        <_>
-          6 10 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 12 2 -1.</_>
-        <_>
-          9 9 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 4 -1.</_>
-        <_>
-          11 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 4 1 -1.</_>
-        <_>
-          4 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 4 -1.</_>
-        <_>
-          11 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 4 3 -1.</_>
-        <_>
-          7 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 1 -1.</_>
-        <_>
-          16 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 1 -1.</_>
-        <_>
-          1 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 4 -1.</_>
-        <_>
-          14 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 4 -1.</_>
-        <_>
-          2 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 5 3 -1.</_>
-        <_>
-          7 3 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 6 -1.</_>
-        <_>
-          3 5 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 1 -1.</_>
-        <_>
-          14 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 1 4 -1.</_>
-        <_>
-          4 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 2 -1.</_>
-        <_>
-          17 3 1 1 2.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 4 -1.</_>
-        <_>
-          11 4 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 8 2 -1.</_>
-        <_>
-          5 5 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 1 2 -1.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 4 -1.</_>
-        <_>
-          0 0 6 2 2.</_>
-        <_>
-          6 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 12 2 -1.</_>
-        <_>
-          11 1 6 1 2.</_>
-        <_>
-          5 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 12 2 -1.</_>
-        <_>
-          2 1 6 1 2.</_>
-        <_>
-          8 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 4 -1.</_>
-        <_>
-          9 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 4 -1.</_>
-        <_>
-          7 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 2 -1.</_>
-        <_>
-          17 4 1 1 2.</_>
-        <_>
-          16 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 2 -1.</_>
-        <_>
-          0 4 1 1 2.</_>
-        <_>
-          1 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 4 3 -1.</_>
-        <_>
-          12 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 4 3 -1.</_>
-        <_>
-          4 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 3 -1.</_>
-        <_>
-          13 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 2 -1.</_>
-        <_>
-          5 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 2 -1.</_>
-        <_>
-          11 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 5 4 -1.</_>
-        <_>
-          0 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 2 -1.</_>
-        <_>
-          11 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 1 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 2 -1.</_>
-        <_>
-          11 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 2 -1.</_>
-        <_>
-          6 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 5 -1.</_>
-        <_>
-          11 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 4 4 -1.</_>
-        <_>
-          3 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 10 -1.</_>
-        <_>
-          13 0 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 5 -1.</_>
-        <_>
-          5 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 1 -1.</_>
-        <_>
-          6 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 2 -1.</_>
-        <_>
-          1 0 6 1 2.</_>
-        <_>
-          7 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 2 -1.</_>
-        <_>
-          6 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 4 -1.</_>
-        <_>
-          0 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 6 -1.</_>
-        <_>
-          14 4 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 8 4 -1.</_>
-        <_>
-          3 6 4 2 2.</_>
-        <_>
-          7 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 4 -1.</_>
-        <_>
-          12 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 3 -1.</_>
-        <_>
-          6 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 6 3 -1.</_>
-        <_>
-          9 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 16 1 -1.</_>
-        <_>
-          5 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 2 -1.</_>
-        <_>
-          6 0 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 1 -1.</_>
-        <_>
-          7 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 1 -1.</_>
-        <_>
-          6 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 3 -1.</_>
-        <_>
-          15 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 3 -1.</_>
-        <_>
-          1 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 2 -1.</_>
-        <_>
-          15 10 1 1 2.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 2 -1.</_>
-        <_>
-          2 10 1 1 2.</_>
-        <_>
-          3 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 2 7 -1.</_>
-        <_>
-          12 2 1 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 7 2 -1.</_>
-        <_>
-          6 2 7 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 9 -1.</_>
-        <_>
-          14 5 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 3 4 -1.</_>
-        <_>
-          0 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 14 1 -1.</_>
-        <_>
-          4 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 14 1 -1.</_>
-        <_>
-          7 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 2 -1.</_>
-        <_>
-          15 10 1 1 2.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 2 -1.</_>
-        <_>
-          2 10 1 1 2.</_>
-        <_>
-          3 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 12 9 -1.</_>
-        <_>
-          9 3 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 12 9 -1.</_>
-        <_>
-          3 3 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 11 2 1 -1.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 1 2 -1.</_>
-        <_>
-          3 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 6 -1.</_>
-        <_>
-          6 3 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 4 -1.</_>
-        <_>
-          3 3 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 5 -1.</_>
-        <_>
-          4 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 4 4 -1.</_>
-        <_>
-          4 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          0 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 6 2 -1.</_>
-        <_>
-          12 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 3 -1.</_>
-        <_>
-          6 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 1 -1.</_>
-        <_>
-          6 5 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 4 -1.</_>
-        <_>
-          5 0 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 5 -1.</_>
-        <_>
-          13 5 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 5 3 -1.</_>
-        <_>
-          5 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 2 -1.</_>
-        <_>
-          14 11 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 9 -1.</_>
-        <_>
-          4 1 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 1 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 1 -1.</_>
-        <_>
-          6 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 2 -1.</_>
-        <_>
-          17 4 1 1 2.</_>
-        <_>
-          16 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 12 -1.</_>
-        <_>
-          9 0 1 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 12 -1.</_>
-        <_>
-          8 0 1 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 2 -1.</_>
-        <_>
-          17 4 1 1 2.</_>
-        <_>
-          16 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 2 -1.</_>
-        <_>
-          0 4 1 1 2.</_>
-        <_>
-          1 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 6 -1.</_>
-        <_>
-          14 4 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 4 6 -1.</_>
-        <_>
-          0 4 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 2 -1.</_>
-        <_>
-          10 2 1 1 2.</_>
-        <_>
-          9 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 4 3 -1.</_>
-        <_>
-          13 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 4 3 -1.</_>
-        <_>
-          1 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 6 2.</_>
-        <_>
-          0 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 7 2 -1.</_>
-        <_>
-          0 4 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 4 -1.</_>
-        <_>
-          4 2 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 4 -1.</_>
-        <_>
-          8 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 3 -1.</_>
-        <_>
-          9 0 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 5 -1.</_>
-        <_>
-          3 0 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 4 -1.</_>
-        <_>
-          8 4 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 1 -1.</_>
-        <_>
-          9 3 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 3 -1.</_>
-        <_>
-          14 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 12 -1.</_>
-        <_>
-          0 0 2 6 2.</_>
-        <_>
-          2 6 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 1 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 4 -1.</_>
-        <_>
-          9 0 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 4 -1.</_>
-        <_>
-          3 2 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 1 2 -1.</_>
-        <_>
-          5 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 6 -1.</_>
-        <_>
-          1 0 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 4 2 -1.</_>
-        <_>
-          13 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 5 -1.</_>
-        <_>
-          9 3 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 3 -1.</_>
-        <_>
-          12 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 6 -1.</_>
-        <_>
-          5 3 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 9 6 -1.</_>
-        <_>
-          9 6 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 9 6 -1.</_>
-        <_>
-          6 6 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 2 -1.</_>
-        <_>
-          14 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 2 2 -1.</_>
-        <_>
-          4 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 5 1 6 -1.</_>
-        <_>
-          15 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 6 1 -1.</_>
-        <_>
-          3 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          16 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          2 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 3 -1.</_>
-        <_>
-          12 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 4 2 -1.</_>
-        <_>
-          4 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 4 -1.</_>
-        <_>
-          0 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 3 -1.</_>
-        <_>
-          12 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 2 -1.</_>
-        <_>
-          6 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 7 3 -1.</_>
-        <_>
-          6 2 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          3 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 3 -1.</_>
-        <_>
-          8 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 4 2 -1.</_>
-        <_>
-          6 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 3 -1.</_>
-        <_>
-          10 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          8 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 6 2 -1.</_>
-        <_>
-          14 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 4 -1.</_>
-        <_>
-          0 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 5 6 -1.</_>
-        <_>
-          13 8 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 4 2 -1.</_>
-        <_>
-          7 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 4 3 -1.</_>
-        <_>
-          14 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 4 3 -1.</_>
-        <_>
-          2 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 5 6 -1.</_>
-        <_>
-          13 8 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 5 6 -1.</_>
-        <_>
-          0 8 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 1 2 -1.</_>
-        <_>
-          13 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 2 -1.</_>
-        <_>
-          16 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 2 -1.</_>
-        <_>
-          1 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 1 2 -1.</_>
-        <_>
-          13 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 1 2 -1.</_>
-        <_>
-          4 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 6 2 -1.</_>
-        <_>
-          9 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 12 2 -1.</_>
-        <_>
-          7 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 12 -1.</_>
-        <_>
-          2 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 3 -1.</_>
-        <_>
-          9 1 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 5 -1.</_>
-        <_>
-          8 0 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          7 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 3 -1.</_>
-        <_>
-          16 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 1 -1.</_>
-        <_>
-          6 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 1 -1.</_>
-        <_>
-          5 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 7 1 4 -1.</_>
-        <_>
-          17 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 5 -1.</_>
-        <_>
-          4 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 2 -1.</_>
-        <_>
-          5 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 6 -1.</_>
-        <_>
-          8 4 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 9 -1.</_>
-        <_>
-          16 4 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 9 -1.</_>
-        <_>
-          0 4 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 4 -1.</_>
-        <_>
-          6 5 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 16 3 -1.</_>
-        <_>
-          4 9 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 1 -1.</_>
-        <_>
-          12 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 4 2 -1.</_>
-        <_>
-          3 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 4 -1.</_>
-        <_>
-          11 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 3 2 -1.</_>
-        <_>
-          5 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 2 -1.</_>
-        <_>
-          0 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 3 -1.</_>
-        <_>
-          16 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 3 -1.</_>
-        <_>
-          0 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 2 -1.</_>
-        <_>
-          8 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 4 2 -1.</_>
-        <_>
-          4 4 2 1 2.</_>
-        <_>
-          6 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 1 3 -1.</_>
-        <_>
-          6 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 8 -1.</_>
-        <_>
-          3 2 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 2 1 -1.</_>
-        <_>
-          4 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          8 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 4 -1.</_>
-        <_>
-          14 0 4 2 2.</_>
-        <_>
-          10 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 3 -1.</_>
-        <_>
-          9 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 3 -1.</_>
-        <_>
-          8 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 1 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 1 2 -1.</_>
-        <_>
-          0 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 2 2 -1.</_>
-        <_>
-          16 10 1 1 2.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 2 1 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 11 2 1 -1.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 2 1 -1.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 4 2 -1.</_>
-        <_>
-          14 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 4 2 -1.</_>
-        <_>
-          2 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 3 -1.</_>
-        <_>
-          14 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 9 1 2 -1.</_>
-        <_>
-          3 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 8 2 2 -1.</_>
-        <_>
-          14 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 2 2 -1.</_>
-        <_>
-          4 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 8 2 2 -1.</_>
-        <_>
-          14 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 2 2 -1.</_>
-        <_>
-          4 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 3 -1.</_>
-        <_>
-          16 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 9 -1.</_>
-        <_>
-          3 0 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 5 -1.</_>
-        <_>
-          11 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 5 -1.</_>
-        <_>
-          6 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 6 8 -1.</_>
-        <_>
-          2 3 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 8 -1.</_>
-        <_>
-          15 0 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 3 8 -1.</_>
-        <_>
-          2 0 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 2 -1.</_>
-        <_>
-          7 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 4 -1.</_>
-        <_>
-          14 0 4 2 2.</_>
-        <_>
-          10 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 4 -1.</_>
-        <_>
-          0 0 4 2 2.</_>
-        <_>
-          4 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 8 -1.</_>
-        <_>
-          9 2 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 8 1 -1.</_>
-        <_>
-          9 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 2 -1.</_>
-        <_>
-          11 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 2 -1.</_>
-        <_>
-          0 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 1 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 4 -1.</_>
-        <_>
-          16 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 2 -1.</_>
-        <_>
-          7 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 3 -1.</_>
-        <_>
-          15 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 7 3 2 -1.</_>
-        <_>
-          3 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 1 3 -1.</_>
-        <_>
-          10 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 4 -1.</_>
-        <_>
-          0 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 2 -1.</_>
-        <_>
-          6 4 3 1 2.</_>
-        <_>
-          9 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          5 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          6 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 1 6 -1.</_>
-        <_>
-          12 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 1 6 -1.</_>
-        <_>
-          5 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 2 -1.</_>
-        <_>
-          12 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 2 -1.</_>
-        <_>
-          4 0 5 1 2.</_>
-        <_>
-          9 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 3 -1.</_>
-        <_>
-          13 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 3 -1.</_>
-        <_>
-          5 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 2 -1.</_>
-        <_>
-          15 7 1 1 2.</_>
-        <_>
-          14 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 2 2 -1.</_>
-        <_>
-          2 7 1 1 2.</_>
-        <_>
-          3 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 2 -1.</_>
-        <_>
-          15 7 1 1 2.</_>
-        <_>
-          14 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 2 2 -1.</_>
-        <_>
-          2 7 1 1 2.</_>
-        <_>
-          3 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 9 -1.</_>
-        <_>
-          0 0 9 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          9 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 12 6 -1.</_>
-        <_>
-          6 6 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 14 7 -1.</_>
-        <_>
-          7 5 7 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 5 3 -1.</_>
-        <_>
-          12 1 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 2 -1.</_>
-        <_>
-          8 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 5 -1.</_>
-        <_>
-          6 1 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 9 -1.</_>
-        <_>
-          8 4 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 4 -1.</_>
-        <_>
-          9 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 4 -1.</_>
-        <_>
-          3 0 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 2 -1.</_>
-        <_>
-          9 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 6 2 -1.</_>
-        <_>
-          7 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 10 2 -1.</_>
-        <_>
-          7 11 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 4 -1.</_>
-        <_>
-          15 6 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 4 3 -1.</_>
-        <_>
-          3 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 4 -1.</_>
-        <_>
-          3 2 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 2 1 -1.</_>
-        <_>
-          2 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 3 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 4 -1.</_>
-        <_>
-          9 0 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 4 -1.</_>
-        <_>
-          16 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 2 -1.</_>
-        <_>
-          7 3 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 4 -1.</_>
-        <_>
-          16 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 2 -1.</_>
-        <_>
-          3 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 5 16 6 -1.</_>
-        <_>
-          10 5 8 3 2.</_>
-        <_>
-          2 8 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 4 -1.</_>
-        <_>
-          0 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 3 -1.</_>
-        <_>
-          11 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 2 -1.</_>
-        <_>
-          3 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 2 -1.</_>
-        <_>
-          14 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 4 -1.</_>
-        <_>
-          4 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 4 2 3 -1.</_>
-        <_>
-          12 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 4 3 -1.</_>
-        <_>
-          4 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 5 -1.</_>
-        <_>
-          11 4 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 2 -1.</_>
-        <_>
-          6 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 4 -1.</_>
-        <_>
-          12 4 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 3 -1.</_>
-        <_>
-          6 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 6 -1.</_>
-        <_>
-          14 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          1 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 1 2 -1.</_>
-        <_>
-          15 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 1 -1.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 1 -1.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 3 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 2 1 -1.</_>
-        <_>
-          3 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 3 -1.</_>
-        <_>
-          14 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 3 3 -1.</_>
-        <_>
-          3 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          8 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 2 2 -1.</_>
-        <_>
-          4 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 4 6 -1.</_>
-        <_>
-          15 4 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 4 6 -1.</_>
-        <_>
-          1 4 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 3 -1.</_>
-        <_>
-          16 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 16 2 -1.</_>
-        <_>
-          4 10 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 15 9 -1.</_>
-        <_>
-          8 3 5 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 2 -1.</_>
-        <_>
-          9 3 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 8 8 4 -1.</_>
-        <_>
-          5 9 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 9 2 -1.</_>
-        <_>
-          0 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 16 1 -1.</_>
-        <_>
-          2 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 1 -1.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 3 -1.</_>
-        <_>
-          16 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 7 3 2 -1.</_>
-        <_>
-          2 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 4 1 4 -1.</_>
-        <_>
-          17 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 4 -1.</_>
-        <_>
-          5 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 7 1 2 -1.</_>
-        <_>
-          17 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 2 -1.</_>
-        <_>
-          0 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 3 -1.</_>
-        <_>
-          0 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 11 8 -1.</_>
-        <_>
-          0 4 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 2 -1.</_>
-        <_>
-          4 5 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 3 6 -1.</_>
-        <_>
-          13 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          9 0 9 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 10 -1.</_>
-        <_>
-          9 2 4 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 15 9 -1.</_>
-        <_>
-          8 3 5 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 2 3 -1.</_>
-        <_>
-          3 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 6 3 -1.</_>
-        <_>
-          13 6 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 6 3 -1.</_>
-        <_>
-          3 6 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 12 9 -1.</_>
-        <_>
-          9 3 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 12 9 -1.</_>
-        <_>
-          5 3 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 10 -1.</_>
-        <_>
-          17 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 3 -1.</_>
-        <_>
-          8 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 2 -1.</_>
-        <_>
-          9 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 4 2 -1.</_>
-        <_>
-          7 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 2 -1.</_>
-        <_>
-          15 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 2 -1.</_>
-        <_>
-          8 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 3 -1.</_>
-        <_>
-          14 3 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 8 -1.</_>
-        <_>
-          3 2 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 11 -1.</_>
-        <_>
-          0 0 9 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 3 -1.</_>
-        <_>
-          7 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 3 -1.</_>
-        <_>
-          11 2 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 6 -1.</_>
-        <_>
-          6 0 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 4 2 -1.</_>
-        <_>
-          11 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 4 -1.</_>
-        <_>
-          1 3 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 4 -1.</_>
-        <_>
-          3 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 1 -1.</_>
-        <_>
-          15 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 1 4 -1.</_>
-        <_>
-          3 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 8 2 -1.</_>
-        <_>
-          5 7 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 5 4 -1.</_>
-        <_>
-          0 5 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 4 -1.</_>
-        <_>
-          9 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 1 -1.</_>
-        <_>
-          9 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 3 1 -1.</_>
-        <_>
-          4 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 4 -1.</_>
-        <_>
-          14 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 3 -1.</_>
-        <_>
-          6 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 10 2 2 -1.</_>
-        <_>
-          14 10 1 1 2.</_>
-        <_>
-          13 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 1 -1.</_>
-        <_>
-          5 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 4 -1.</_>
-        <_>
-          11 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 4 -1.</_>
-        <_>
-          5 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          3 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 2 -1.</_>
-        <_>
-          1 0 1 1 2.</_>
-        <_>
-          2 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 3 -1.</_>
-        <_>
-          17 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          7 5 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 15 2 -1.</_>
-        <_>
-          8 9 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 4 4 -1.</_>
-        <_>
-          1 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 8 -1.</_>
-        <_>
-          7 4 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 10 -1.</_>
-        <_>
-          0 0 9 5 2.</_>
-        <_>
-          9 5 9 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 12 3 -1.</_>
-        <_>
-          6 5 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 3 -1.</_>
-        <_>
-          6 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 3 -1.</_>
-        <_>
-          17 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          0 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 9 8 -1.</_>
-        <_>
-          5 8 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 10 1 -1.</_>
-        <_>
-          8 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 12 3 -1.</_>
-        <_>
-          9 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 14 6 -1.</_>
-        <_>
-          7 6 7 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 8 3 -1.</_>
-        <_>
-          12 9 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 8 3 -1.</_>
-        <_>
-          2 9 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 2 -1.</_>
-        <_>
-          12 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 2 -1.</_>
-        <_>
-          2 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 4 -1.</_>
-        <_>
-          3 5 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 1 -1.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 3 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 3 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 1 -1.</_>
-        <_>
-          15 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 2 -1.</_>
-        <_>
-          11 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 1 3 -1.</_>
-        <_>
-          3 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 3 -1.</_>
-        <_>
-          11 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 3 -1.</_>
-        <_>
-          0 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 15 3 -1.</_>
-        <_>
-          8 2 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 4 -1.</_>
-        <_>
-          6 2 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 5 3 -1.</_>
-        <_>
-          7 8 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 12 2 -1.</_>
-        <_>
-          0 1 6 1 2.</_>
-        <_>
-          6 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          6 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 2 -1.</_>
-        <_>
-          11 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 4 2 -1.</_>
-        <_>
-          5 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_>
-        <_>
-          15 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_>
-        <_>
-          15 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 2 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_>
-        <_>
-          2 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_>
-        <_>
-          11 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 2 -1.</_>
-        <_>
-          0 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 1 -1.</_>
-        <_>
-          2 0 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 6 -1.</_>
-        <_>
-          9 0 3 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_>
-        <_>
-          11 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 3 8 -1.</_>
-        <_>
-          0 6 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 1 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 2 -1.</_>
-        <_>
-          0 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 6 -1.</_>
-        <_>
-          15 0 3 3 2.</_>
-        <_>
-          12 3 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 12 4 -1.</_>
-        <_>
-          2 3 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 6 -1.</_>
-        <_>
-          15 0 3 3 2.</_>
-        <_>
-          12 3 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 6 -1.</_>
-        <_>
-          0 0 3 3 2.</_>
-        <_>
-          3 3 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 15 1 -1.</_>
-        <_>
-          5 9 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 1 3 -1.</_>
-        <_>
-          9 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 3 -1.</_>
-        <_>
-          12 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 10 16 1 -1.</_>
-        <_>
-          5 10 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 4 -1.</_>
-        <_>
-          17 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 4 -1.</_>
-        <_>
-          0 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 1 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 3 -1.</_>
-        <_>
-          12 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 7 1 2 -1.</_>
-        <_>
-          0 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 3 -1.</_>
-        <_>
-          12 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 2 -1.</_>
-        <_>
-          6 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 2 2 -1.</_>
-        <_>
-          15 1 1 1 2.</_>
-        <_>
-          14 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 2 2 -1.</_>
-        <_>
-          2 1 1 1 2.</_>
-        <_>
-          3 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 3 -1.</_>
-        <_>
-          9 2 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 3 6 -1.</_>
-        <_>
-          2 1 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 1 3 -1.</_>
-        <_>
-          11 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 1 -1.</_>
-        <_>
-          7 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 2 -1.</_>
-        <_>
-          9 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 4 2 -1.</_>
-        <_>
-          7 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 1 -1.</_>
-        <_>
-          9 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 1 4 -1.</_>
-        <_>
-          14 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 1 4 -1.</_>
-        <_>
-          14 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 7 4 1 -1.</_>
-        <_>
-          4 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 3 -1.</_>
-        <_>
-          13 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 2 -1.</_>
-        <_>
-          5 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 6 6 -1.</_>
-        <_>
-          13 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 6 6 -1.</_>
-        <_>
-          3 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 1 9 -1.</_>
-        <_>
-          13 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 1 9 -1.</_>
-        <_>
-          4 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 3 -1.</_>
-        <_>
-          6 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 4 -1.</_>
-        <_>
-          4 4 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 6 -1.</_>
-        <_>
-          1 0 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 3 -1.</_>
-        <_>
-          13 0 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 4 -1.</_>
-        <_>
-          5 0 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 3 -1.</_>
-        <_>
-          8 6 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 4 -1.</_>
-        <_>
-          4 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 5 3 -1.</_>
-        <_>
-          7 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 6 3 -1.</_>
-        <_>
-          7 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 1 -1.</_>
-        <_>
-          12 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 9 -1.</_>
-        <_>
-          0 3 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 1 -1.</_>
-        <_>
-          12 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 6 7 -1.</_>
-        <_>
-          2 2 2 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 1 -1.</_>
-        <_>
-          12 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 3 1 -1.</_>
-        <_>
-          5 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 3 -1.</_>
-        <_>
-          10 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 3 -1.</_>
-        <_>
-          5 3 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 3 -1.</_>
-        <_>
-          7 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 5 -1.</_>
-        <_>
-          5 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 5 -1.</_>
-        <_>
-          10 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 5 -1.</_>
-        <_>
-          3 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 4 -1.</_>
-        <_>
-          12 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 4 -1.</_>
-        <_>
-          4 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          3 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 7 2 -1.</_>
-        <_>
-          0 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 3 -1.</_>
-        <_>
-          5 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 2 -1.</_>
-        <_>
-          8 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 3 -1.</_>
-        <_>
-          7 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 4 -1.</_>
-        <_>
-          7 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 6 -1.</_>
-        <_>
-          9 3 9 3 2.</_>
-        <_>
-          0 6 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 18 1 -1.</_>
-        <_>
-          9 11 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 3 -1.</_>
-        <_>
-          13 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 3 -1.</_>
-        <_>
-          4 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 1 -1.</_>
-        <_>
-          11 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 1 -1.</_>
-        <_>
-          6 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 4 -1.</_>
-        <_>
-          15 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          8 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 8 -1.</_>
-        <_>
-          8 4 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 4 -1.</_>
-        <_>
-          0 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 3 -1.</_>
-        <_>
-          16 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 7 3 2 -1.</_>
-        <_>
-          2 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 6 -1.</_>
-        <_>
-          4 2 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 2 -1.</_>
-        <_>
-          1 0 6 1 2.</_>
-        <_>
-          7 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 2 -1.</_>
-        <_>
-          15 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 3 -1.</_>
-        <_>
-          3 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 4 -1.</_>
-        <_>
-          16 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 4 -1.</_>
-        <_>
-          1 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 8 6 -1.</_>
-        <_>
-          6 7 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 3 -1.</_>
-        <_>
-          6 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 4 -1.</_>
-        <_>
-          10 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 2 -1.</_>
-        <_>
-          9 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 4 -1.</_>
-        <_>
-          1 0 5 2 2.</_>
-        <_>
-          6 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 1 3 -1.</_>
-        <_>
-          2 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 6 -1.</_>
-        <_>
-          14 5 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 1 3 -1.</_>
-        <_>
-          1 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 3 -1.</_>
-        <_>
-          6 2 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 4 6 -1.</_>
-        <_>
-          0 5 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 3 9 -1.</_>
-        <_>
-          12 4 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 16 1 -1.</_>
-        <_>
-          4 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 2 -1.</_>
-        <_>
-          9 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 2 2 -1.</_>
-        <_>
-          2 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 8 4 4 -1.</_>
-        <_>
-          14 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 3 4 -1.</_>
-        <_>
-          0 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 2 2 -1.</_>
-        <_>
-          16 10 1 1 2.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 2 2 -1.</_>
-        <_>
-          1 10 1 1 2.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 1 -1.</_>
-        <_>
-          16 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 1 -1.</_>
-        <_>
-          1 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 6 -1.</_>
-        <_>
-          12 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 6 -1.</_>
-        <_>
-          5 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 1 8 -1.</_>
-        <_>
-          10 2 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          7 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 6 -1.</_>
-        <_>
-          6 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 4 -1.</_>
-        <_>
-          0 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 3 7 -1.</_>
-        <_>
-          12 3 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 3 -1.</_>
-        <_>
-          6 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          10 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 5 -1.</_>
-        <_>
-          6 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 1 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 2 3 -1.</_>
-        <_>
-          6 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 1 8 -1.</_>
-        <_>
-          10 2 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 10 2 1 -1.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 4 1 -1.</_>
-        <_>
-          11 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 10 -1.</_>
-        <_>
-          8 0 3 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 12 4 -1.</_>
-        <_>
-          8 1 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 15 5 -1.</_>
-        <_>
-          5 1 5 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 1 2 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 3 3 -1.</_>
-        <_>
-          7 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 1 3 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 3 -1.</_>
-        <_>
-          7 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 4 1 -1.</_>
-        <_>
-          5 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 2 -1.</_>
-        <_>
-          15 2 1 1 2.</_>
-        <_>
-          14 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 2 2 -1.</_>
-        <_>
-          2 2 1 1 2.</_>
-        <_>
-          3 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 2 -1.</_>
-        <_>
-          9 0 8 1 2.</_>
-        <_>
-          1 1 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 8 1 -1.</_>
-        <_>
-          8 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 3 -1.</_>
-        <_>
-          13 3 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 4 -1.</_>
-        <_>
-          5 3 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 4 -1.</_>
-        <_>
-          15 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 4 -1.</_>
-        <_>
-          0 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 9 3 -1.</_>
-        <_>
-          8 2 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 3 2 -1.</_>
-        <_>
-          3 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 7 3 1 -1.</_>
-        <_>
-          14 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 1 3 -1.</_>
-        <_>
-          6 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_>
-        <_>
-          11 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 2 -1.</_>
-        <_>
-          5 9 1 1 2.</_>
-        <_>
-          6 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 4 -1.</_>
-        <_>
-          12 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 4 2 -1.</_>
-        <_>
-          6 5 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 4 -1.</_>
-        <_>
-          13 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          5 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 10 15 2 -1.</_>
-        <_>
-          8 10 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 3 -1.</_>
-        <_>
-          0 2 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 7 -1.</_>
-        <_>
-          12 1 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 2 -1.</_>
-        <_>
-          9 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 11 -1.</_>
-        <_>
-          0 0 9 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 1 -1.</_>
-        <_>
-          1 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 1 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 14 7 -1.</_>
-        <_>
-          4 5 7 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 4 -1.</_>
-        <_>
-          4 4 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 3 -1.</_>
-        <_>
-          8 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 12 2 -1.</_>
-        <_>
-          2 5 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 3 -1.</_>
-        <_>
-          8 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 6 3 -1.</_>
-        <_>
-          3 6 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 1 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 1 -1.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 2 2 -1.</_>
-        <_>
-          14 9 1 1 2.</_>
-        <_>
-          13 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 7 3 -1.</_>
-        <_>
-          6 1 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 2 -1.</_>
-        <_>
-          9 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 3 3 -1.</_>
-        <_>
-          7 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 9 2 2 -1.</_>
-        <_>
-          14 9 1 1 2.</_>
-        <_>
-          13 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 2 2 -1.</_>
-        <_>
-          3 9 1 1 2.</_>
-        <_>
-          4 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 2 -1.</_>
-        <_>
-          15 7 1 1 2.</_>
-        <_>
-          14 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 4 -1.</_>
-        <_>
-          0 6 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 2 -1.</_>
-        <_>
-          15 7 1 1 2.</_>
-        <_>
-          14 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 2 2 -1.</_>
-        <_>
-          2 7 1 1 2.</_>
-        <_>
-          3 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 6 -1.</_>
-        <_>
-          14 0 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 6 -1.</_>
-        <_>
-          2 0 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 8 1 -1.</_>
-        <_>
-          6 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 2 -1.</_>
-        <_>
-          5 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 1 -1.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 1 -1.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 4 2 -1.</_>
-        <_>
-          10 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 4 2 -1.</_>
-        <_>
-          6 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 7 3 -1.</_>
-        <_>
-          9 1 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 3 -1.</_>
-        <_>
-          6 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 2 -1.</_>
-        <_>
-          15 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 3 -1.</_>
-        <_>
-          3 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 8 4 -1.</_>
-        <_>
-          12 8 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 3 4 -1.</_>
-        <_>
-          2 8 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 3 3 -1.</_>
-        <_>
-          15 7 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 3 3 -1.</_>
-        <_>
-          2 7 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 2 2 -1.</_>
-        <_>
-          16 10 1 1 2.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 2 2 -1.</_>
-        <_>
-          1 10 1 1 2.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 2 1 -1.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 2 1 -1.</_>
-        <_>
-          5 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 1 2 -1.</_>
-        <_>
-          13 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 1 -1.</_>
-        <_>
-          5 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 8 4 -1.</_>
-        <_>
-          12 8 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 8 4 -1.</_>
-        <_>
-          2 8 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 8 2 -1.</_>
-        <_>
-          12 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 8 2 -1.</_>
-        <_>
-          2 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 6 2 -1.</_>
-        <_>
-          9 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 4 1 -1.</_>
-        <_>
-          9 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 5 3 -1.</_>
-        <_>
-          7 10 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 8 3 -1.</_>
-        <_>
-          0 5 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 2 -1.</_>
-        <_>
-          9 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 2 -1.</_>
-        <_>
-          10 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 2 -1.</_>
-        <_>
-          8 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 9 -1.</_>
-        <_>
-          12 0 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 9 3 -1.</_>
-        <_>
-          3 5 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 1 2 -1.</_>
-        <_>
-          9 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 1 -1.</_>
-        <_>
-          9 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 6 -1.</_>
-        <_>
-          10 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 2 -1.</_>
-        <_>
-          7 7 1 1 2.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 4 -1.</_>
-        <_>
-          9 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 8 -1.</_>
-        <_>
-          5 3 4 4 2.</_>
-        <_>
-          9 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 3 1 -1.</_>
-        <_>
-          10 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 3 1 -1.</_>
-        <_>
-          7 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 4 -1.</_>
-        <_>
-          8 7 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 2 -1.</_>
-        <_>
-          7 6 1 1 2.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 14 7 -1.</_>
-        <_>
-          4 5 7 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          6 10 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 12 2 -1.</_>
-        <_>
-          6 10 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 12 2 -1.</_>
-        <_>
-          6 10 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 4 -1.</_>
-        <_>
-          8 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 2 -1.</_>
-        <_>
-          14 0 4 1 2.</_>
-        <_>
-          10 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 2 -1.</_>
-        <_>
-          0 0 4 1 2.</_>
-        <_>
-          4 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 9 -1.</_>
-        <_>
-          12 0 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 1 4 -1.</_>
-        <_>
-          1 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 2 -1.</_>
-        <_>
-          15 4 1 1 2.</_>
-        <_>
-          14 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 2 2 -1.</_>
-        <_>
-          2 4 1 1 2.</_>
-        <_>
-          3 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 2 -1.</_>
-        <_>
-          15 4 1 1 2.</_>
-        <_>
-          14 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 2 2 -1.</_>
-        <_>
-          2 4 1 1 2.</_>
-        <_>
-          3 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 6 -1.</_>
-        <_>
-          3 4 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 3 -1.</_>
-        <_>
-          2 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 2 -1.</_>
-        <_>
-          10 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 4 2 -1.</_>
-        <_>
-          6 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 8 -1.</_>
-        <_>
-          3 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 5 3 -1.</_>
-        <_>
-          3 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 9 8 -1.</_>
-        <_>
-          9 5 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 9 4 -1.</_>
-        <_>
-          5 0 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 2 -1.</_>
-        <_>
-          10 2 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 16 6 -1.</_>
-        <_>
-          0 6 8 3 2.</_>
-        <_>
-          8 9 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 3 -1.</_>
-        <_>
-          10 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 10 12 2 -1.</_>
-        <_>
-          1 11 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 3 -1.</_>
-        <_>
-          10 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 6 6 -1.</_>
-        <_>
-          7 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 2 -1.</_>
-        <_>
-          6 5 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 6 -1.</_>
-        <_>
-          3 3 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 1 -1.</_>
-        <_>
-          16 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 3 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 3 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 6 4 -1.</_>
-        <_>
-          6 1 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 4 2 -1.</_>
-        <_>
-          10 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 3 2 -1.</_>
-        <_>
-          5 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 1 4 -1.</_>
-        <_>
-          13 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 10 4 2 -1.</_>
-        <_>
-          6 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 1 4 -1.</_>
-        <_>
-          13 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 4 1 -1.</_>
-        <_>
-          5 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 8 -1.</_>
-        <_>
-          15 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 2 8 -1.</_>
-        <_>
-          1 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 5 6 -1.</_>
-        <_>
-          13 8 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 4 -1.</_>
-        <_>
-          6 4 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 3 2 -1.</_>
-        <_>
-          4 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 5 6 -1.</_>
-        <_>
-          13 8 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 5 6 -1.</_>
-        <_>
-          0 8 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 5 -1.</_>
-        <_>
-          13 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 3 -1.</_>
-        <_>
-          6 0 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 12 -1.</_>
-        <_>
-          9 0 3 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 12 -1.</_>
-        <_>
-          6 0 3 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 11 -1.</_>
-        <_>
-          0 0 9 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          6 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 3 -1.</_>
-        <_>
-          6 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 8 -1.</_>
-        <_>
-          8 1 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 2 -1.</_>
-        <_>
-          4 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 4 -1.</_>
-        <_>
-          16 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 6 -1.</_>
-        <_>
-          0 6 9 3 2.</_>
-        <_>
-          9 9 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 1 -1.</_>
-        <_>
-          6 6 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 3 -1.</_>
-        <_>
-          3 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 4 -1.</_>
-        <_>
-          5 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 3 -1.</_>
-        <_>
-          5 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 1 4 -1.</_>
-        <_>
-          8 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 2 -1.</_>
-        <_>
-          1 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 4 -1.</_>
-        <_>
-          16 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 3 -1.</_>
-        <_>
-          2 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 2 -1.</_>
-        <_>
-          0 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 3 -1.</_>
-        <_>
-          8 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 1 3 -1.</_>
-        <_>
-          16 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 1 3 -1.</_>
-        <_>
-          1 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 2 2 -1.</_>
-        <_>
-          15 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 2 2 -1.</_>
-        <_>
-          3 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 9 1 2 -1.</_>
-        <_>
-          13 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 1 -1.</_>
-        <_>
-          5 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 3 -1.</_>
-        <_>
-          6 9 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 4 1 -1.</_>
-        <_>
-          4 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 3 -1.</_>
-        <_>
-          7 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 1 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 6 -1.</_>
-        <_>
-          7 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 2 -1.</_>
-        <_>
-          6 4 3 1 2.</_>
-        <_>
-          9 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 3 -1.</_>
-        <_>
-          15 5 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 3 -1.</_>
-        <_>
-          13 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 8 2 -1.</_>
-        <_>
-          7 0 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 3 -1.</_>
-        <_>
-          7 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 4 -1.</_>
-        <_>
-          0 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 10 -1.</_>
-        <_>
-          16 0 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 1 -1.</_>
-        <_>
-          4 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 10 -1.</_>
-        <_>
-          17 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 1 10 1 -1.</_>
-        <_>
-          1 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 9 -1.</_>
-        <_>
-          14 1 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 5 -1.</_>
-        <_>
-          1 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 1 -1.</_>
-        <_>
-          14 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 3 -1.</_>
-        <_>
-          7 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 6 2.</_>
-        <_>
-          0 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 3 6 -1.</_>
-        <_>
-          2 2 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 3 -1.</_>
-        <_>
-          10 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 3 -1.</_>
-        <_>
-          8 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 4 -1.</_>
-        <_>
-          16 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 4 -1.</_>
-        <_>
-          0 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 12 2 -1.</_>
-        <_>
-          12 1 6 1 2.</_>
-        <_>
-          6 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 6 3 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 1 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 1 -1.</_>
-        <_>
-          9 3 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 4 -1.</_>
-        <_>
-          12 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 8 -1.</_>
-        <_>
-          4 2 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 12 4 -1.</_>
-        <_>
-          6 5 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 4 1 -1.</_>
-        <_>
-          7 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 6 1 -1.</_>
-        <_>
-          9 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 1 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 3 -1.</_>
-        <_>
-          13 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 9 -1.</_>
-        <_>
-          6 3 6 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 12 3 -1.</_>
-        <_>
-          9 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          6 10 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 15 1 -1.</_>
-        <_>
-          7 11 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 2 -1.</_>
-        <_>
-          5 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 4 6 -1.</_>
-        <_>
-          12 2 2 3 2.</_>
-        <_>
-          10 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 4 6 -1.</_>
-        <_>
-          4 2 2 3 2.</_>
-        <_>
-          6 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 1 -1.</_>
-        <_>
-          12 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 1 4 -1.</_>
-        <_>
-          6 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 1 -1.</_>
-        <_>
-          9 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 4 -1.</_>
-        <_>
-          16 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 4 -1.</_>
-        <_>
-          0 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 2 -1.</_>
-        <_>
-          9 1 6 1 2.</_>
-        <_>
-          3 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 5 6 -1.</_>
-        <_>
-          6 9 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 1 -1.</_>
-        <_>
-          11 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 2 4 -1.</_>
-        <_>
-          4 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 3 3 -1.</_>
-        <_>
-          15 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 3 -1.</_>
-        <_>
-          3 2 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 3 -1.</_>
-        <_>
-          13 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 6 -1.</_>
-        <_>
-          3 2 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 1 2 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 9 -1.</_>
-        <_>
-          14 1 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 12 9 -1.</_>
-        <_>
-          9 2 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 12 9 -1.</_>
-        <_>
-          3 2 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 3 -1.</_>
-        <_>
-          10 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 3 2 -1.</_>
-        <_>
-          8 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 5 3 -1.</_>
-        <_>
-          9 2 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 2 -1.</_>
-        <_>
-          12 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 3 -1.</_>
-        <_>
-          2 0 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 2 -1.</_>
-        <_>
-          10 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 8 1 3 -1.</_>
-        <_>
-          14 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 3 1 -1.</_>
-        <_>
-          4 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 2 1 2 -1.</_>
-        <_>
-          15 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 6 6 -1.</_>
-        <_>
-          4 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 3 2 -1.</_>
-        <_>
-          3 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 2 -1.</_>
-        <_>
-          16 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 2 -1.</_>
-        <_>
-          1 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 3 -1.</_>
-        <_>
-          10 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 6 3 -1.</_>
-        <_>
-          4 4 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 6 -1.</_>
-        <_>
-          12 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 6 6 -1.</_>
-        <_>
-          4 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 2 -1.</_>
-        <_>
-          6 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 3 -1.</_>
-        <_>
-          6 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 2 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          8 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 12 3 -1.</_>
-        <_>
-          9 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 1 -1.</_>
-        <_>
-          1 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          9 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 3 -1.</_>
-        <_>
-          8 4 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 7 3 -1.</_>
-        <_>
-          5 3 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 12 4 -1.</_>
-        <_>
-          12 4 6 2 2.</_>
-        <_>
-          6 6 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 12 1 -1.</_>
-        <_>
-          5 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 2 -1.</_>
-        <_>
-          9 2 6 1 2.</_>
-        <_>
-          3 3 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 1 2 -1.</_>
-        <_>
-          2 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          14 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 1 2 -1.</_>
-        <_>
-          0 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 3 9 -1.</_>
-        <_>
-          3 1 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 2 2 -1.</_>
-        <_>
-          4 6 1 1 2.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 6 1 -1.</_>
-        <_>
-          9 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 4 4 -1.</_>
-        <_>
-          0 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 4 -1.</_>
-        <_>
-          8 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 6 3 -1.</_>
-        <_>
-          4 2 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 9 1 -1.</_>
-        <_>
-          11 3 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 9 1 -1.</_>
-        <_>
-          4 3 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          14 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 4 -1.</_>
-        <_>
-          4 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 4 5 -1.</_>
-        <_>
-          12 4 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 4 5 -1.</_>
-        <_>
-          4 4 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 2 -1.</_>
-        <_>
-          14 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 6 3 -1.</_>
-        <_>
-          12 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 6 10 -1.</_>
-        <_>
-          2 1 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          1 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 4 -1.</_>
-        <_>
-          16 8 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 2 -1.</_>
-        <_>
-          0 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 4 -1.</_>
-        <_>
-          16 8 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 4 -1.</_>
-        <_>
-          1 8 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 2 -1.</_>
-        <_>
-          8 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 2 -1.</_>
-        <_>
-          7 6 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 8 2 2 -1.</_>
-        <_>
-          15 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 11 6 1 -1.</_>
-        <_>
-          7 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 3 1 -1.</_>
-        <_>
-          8 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 1 -1.</_>
-        <_>
-          9 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 3 1 -1.</_>
-        <_>
-          8 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 1 -1.</_>
-        <_>
-          9 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 3 1 -1.</_>
-        <_>
-          8 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 2 2 -1.</_>
-        <_>
-          15 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 2 2 -1.</_>
-        <_>
-          3 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 1 -1.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 1 -1.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 1 -1.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 11 -1.</_>
-        <_>
-          9 1 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 4 -1.</_>
-        <_>
-          10 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 10 4 -1.</_>
-        <_>
-          0 5 5 2 2.</_>
-        <_>
-          5 7 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 9 -1.</_>
-        <_>
-          4 6 10 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 9 -1.</_>
-        <_>
-          0 3 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 10 -1.</_>
-        <_>
-          8 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 10 -1.</_>
-        <_>
-          8 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 6 3 -1.</_>
-        <_>
-          11 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 6 3 -1.</_>
-        <_>
-          5 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 2 -1.</_>
-        <_>
-          10 3 1 1 2.</_>
-        <_>
-          9 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 1 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 4 -1.</_>
-        <_>
-          10 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 4 -1.</_>
-        <_>
-          2 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 4 1 -1.</_>
-        <_>
-          14 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 2 1 -1.</_>
-        <_>
-          3 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 2 -1.</_>
-        <_>
-          10 3 1 1 2.</_>
-        <_>
-          9 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 2 -1.</_>
-        <_>
-          7 3 1 1 2.</_>
-        <_>
-          8 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 3 1 -1.</_>
-        <_>
-          15 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 3 1 -1.</_>
-        <_>
-          15 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 2 -1.</_>
-        <_>
-          7 6 1 1 2.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 8 4 -1.</_>
-        <_>
-          10 5 4 2 2.</_>
-        <_>
-          6 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 8 4 -1.</_>
-        <_>
-          4 5 4 2 2.</_>
-        <_>
-          8 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 6 -1.</_>
-        <_>
-          12 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 6 6 -1.</_>
-        <_>
-          4 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 4 -1.</_>
-        <_>
-          15 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 4 -1.</_>
-        <_>
-          0 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 3 1 -1.</_>
-        <_>
-          15 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 1 3 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 1 4 -1.</_>
-        <_>
-          8 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 6 8 -1.</_>
-        <_>
-          7 4 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 14 7 -1.</_>
-        <_>
-          4 5 7 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 4 -1.</_>
-        <_>
-          9 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 1 2 -1.</_>
-        <_>
-          12 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 16 1 -1.</_>
-        <_>
-          8 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 1 -1.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 4 2 -1.</_>
-        <_>
-          8 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 2 -1.</_>
-        <_>
-          8 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 12 3 -1.</_>
-        <_>
-          3 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 9 -1.</_>
-        <_>
-          6 3 3 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 1 -1.</_>
-        <_>
-          10 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 3 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 1 4 -1.</_>
-        <_>
-          0 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 1 4 -1.</_>
-        <_>
-          8 6 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 12 3 -1.</_>
-        <_>
-          2 7 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 3 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 1 3 -1.</_>
-        <_>
-          5 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 2 -1.</_>
-        <_>
-          6 0 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 1 -1.</_>
-        <_>
-          11 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 3 -1.</_>
-        <_>
-          0 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 4 -1.</_>
-        <_>
-          15 1 2 2 2.</_>
-        <_>
-          13 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 2 -1.</_>
-        <_>
-          6 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 1 4 4 -1.</_>
-        <_>
-          15 1 2 2 2.</_>
-        <_>
-          13 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 4 4 -1.</_>
-        <_>
-          1 1 2 2 2.</_>
-        <_>
-          3 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 1 -1.</_>
-        <_>
-          11 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 2 -1.</_>
-        <_>
-          0 8 1 1 2.</_>
-        <_>
-          1 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 5 6 -1.</_>
-        <_>
-          12 9 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 2 -1.</_>
-        <_>
-          14 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 3 -1.</_>
-        <_>
-          4 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          8 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 6 -1.</_>
-        <_>
-          4 9 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 4 -1.</_>
-        <_>
-          9 2 9 2 2.</_>
-        <_>
-          0 4 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 2 -1.</_>
-        <_>
-          4 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 1 -1.</_>
-        <_>
-          13 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 6 1 -1.</_>
-        <_>
-          3 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 1 -1.</_>
-        <_>
-          11 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 1 -1.</_>
-        <_>
-          5 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 3 -1.</_>
-        <_>
-          16 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 6 3 -1.</_>
-        <_>
-          4 2 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_>
-        <_>
-          7 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 1 -1.</_>
-        <_>
-          9 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 5 -1.</_>
-        <_>
-          13 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 3 -1.</_>
-        <_>
-          14 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 3 -1.</_>
-        <_>
-          5 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 3 -1.</_>
-        <_>
-          9 0 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 8 -1.</_>
-        <_>
-          2 0 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 4 2 -1.</_>
-        <_>
-          12 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 4 2 -1.</_>
-        <_>
-          4 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 3 -1.</_>
-        <_>
-          6 5 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 4 -1.</_>
-        <_>
-          6 0 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 12 8 -1.</_>
-        <_>
-          5 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 12 2 -1.</_>
-        <_>
-          3 9 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 2 -1.</_>
-        <_>
-          12 0 6 1 2.</_>
-        <_>
-          6 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 1 3 -1.</_>
-        <_>
-          7 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 2 2 -1.</_>
-        <_>
-          14 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 2 2 -1.</_>
-        <_>
-          4 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 4 -1.</_>
-        <_>
-          9 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 4 -1.</_>
-        <_>
-          7 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 3 -1.</_>
-        <_>
-          7 1 4 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 4 -1.</_>
-        <_>
-          3 1 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 1 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 4 -1.</_>
-        <_>
-          1 1 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 3 -1.</_>
-        <_>
-          11 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 1 3 -1.</_>
-        <_>
-          5 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 4 1 -1.</_>
-        <_>
-          13 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 2 1 -1.</_>
-        <_>
-          5 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 3 -1.</_>
-        <_>
-          11 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 3 -1.</_>
-        <_>
-          5 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 2 -1.</_>
-        <_>
-          16 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 2 -1.</_>
-        <_>
-          1 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 5 3 -1.</_>
-        <_>
-          13 10 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 6 3 -1.</_>
-        <_>
-          0 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 1 6 -1.</_>
-        <_>
-          7 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 3 -1.</_>
-        <_>
-          5 3 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 2 3 -1.</_>
-        <_>
-          8 3 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 3 -1.</_>
-        <_>
-          5 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 4 -1.</_>
-        <_>
-          15 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 4 -1.</_>
-        <_>
-          0 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 1 6 -1.</_>
-        <_>
-          7 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 1 -1.</_>
-        <_>
-          11 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 15 3 -1.</_>
-        <_>
-          8 1 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 6 3 -1.</_>
-        <_>
-          4 1 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 3 -1.</_>
-        <_>
-          16 1 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 3 2 -1.</_>
-        <_>
-          2 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 2 -1.</_>
-        <_>
-          15 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 3 -1.</_>
-        <_>
-          3 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 1 -1.</_>
-        <_>
-          6 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 3 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 2 -1.</_>
-        <_>
-          8 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 1 -1.</_>
-        <_>
-          10 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 3 -1.</_>
-        <_>
-          8 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 2 -1.</_>
-        <_>
-          11 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 5 -1.</_>
-        <_>
-          1 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 4 -1.</_>
-        <_>
-          16 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 1 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 3 -1.</_>
-        <_>
-          9 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 5 -1.</_>
-        <_>
-          6 6 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 2 -1.</_>
-        <_>
-          11 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 1 -1.</_>
-        <_>
-          10 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 3 -1.</_>
-        <_>
-          6 3 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 2 -1.</_>
-        <_>
-          10 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 2 -1.</_>
-        <_>
-          7 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 18 3 -1.</_>
-        <_>
-          6 9 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 3 -1.</_>
-        <_>
-          13 6 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 15 3 -1.</_>
-        <_>
-          6 10 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 4 -1.</_>
-        <_>
-          16 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 3 -1.</_>
-        <_>
-          4 6 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 4 -1.</_>
-        <_>
-          16 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 6 1 -1.</_>
-        <_>
-          7 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 1 -1.</_>
-        <_>
-          1 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 1 3 -1.</_>
-        <_>
-          10 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 6 -1.</_>
-        <_>
-          0 6 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 4 -1.</_>
-        <_>
-          16 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 4 -1.</_>
-        <_>
-          0 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 3 -1.</_>
-        <_>
-          14 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 4 -1.</_>
-        <_>
-          1 7 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 10 2 2 -1.</_>
-        <_>
-          14 10 1 1 2.</_>
-        <_>
-          13 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 3 3 -1.</_>
-        <_>
-          2 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 2 -1.</_>
-        <_>
-          13 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 2 -1.</_>
-        <_>
-          5 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 1 3 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_>
-        <_>
-          11 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 2 -1.</_>
-        <_>
-          5 9 1 1 2.</_>
-        <_>
-          6 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 3 -1.</_>
-        <_>
-          9 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 12 4 -1.</_>
-        <_>
-          0 5 6 2 2.</_>
-        <_>
-          6 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 4 -1.</_>
-        <_>
-          12 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 5 3 -1.</_>
-        <_>
-          5 4 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 1 -1.</_>
-        <_>
-          14 5 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 5 3 -1.</_>
-        <_>
-          4 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 4 4 -1.</_>
-        <_>
-          11 8 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 4 4 -1.</_>
-        <_>
-          5 8 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 3 2 -1.</_>
-        <_>
-          14 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 6 12 4 -1.</_>
-        <_>
-          1 6 6 2 2.</_>
-        <_>
-          7 8 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 10 6 -1.</_>
-        <_>
-          13 5 5 3 2.</_>
-        <_>
-          8 8 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 2 -1.</_>
-        <_>
-          0 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 2 -1.</_>
-        <_>
-          11 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 8 2 -1.</_>
-        <_>
-          3 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 3 -1.</_>
-        <_>
-          14 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 3 -1.</_>
-        <_>
-          2 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 2 -1.</_>
-        <_>
-          15 7 1 1 2.</_>
-        <_>
-          14 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 3 -1.</_>
-        <_>
-          7 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 9 1 -1.</_>
-        <_>
-          8 8 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 2 2 -1.</_>
-        <_>
-          2 7 1 1 2.</_>
-        <_>
-          3 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 1 3 -1.</_>
-        <_>
-          13 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 3 3 -1.</_>
-        <_>
-          2 6 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 1 -1.</_>
-        <_>
-          9 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 1 3 -1.</_>
-        <_>
-          4 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 14 2 -1.</_>
-        <_>
-          10 10 7 1 2.</_>
-        <_>
-          3 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 10 3 -1.</_>
-        <_>
-          4 10 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 6 -1.</_>
-        <_>
-          6 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 3 -1.</_>
-        <_>
-          7 9 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 8 6 -1.</_>
-        <_>
-          5 2 8 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 8 3 -1.</_>
-        <_>
-          5 9 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 3 -1.</_>
-        <_>
-          5 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 1 -1.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 2 1 -1.</_>
-        <_>
-          7 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 1 -1.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 2 1 -1.</_>
-        <_>
-          7 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 2 -1.</_>
-        <_>
-          6 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 1 -1.</_>
-        <_>
-          6 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 6 2.</_>
-        <_>
-          0 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 4 -1.</_>
-        <_>
-          8 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 2 2 -1.</_>
-        <_>
-          8 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 1 3 -1.</_>
-        <_>
-          10 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 1 3 -1.</_>
-        <_>
-          7 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 4 -1.</_>
-        <_>
-          15 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 4 -1.</_>
-        <_>
-          0 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 2 -1.</_>
-        <_>
-          15 4 1 1 2.</_>
-        <_>
-          14 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 2 2 -1.</_>
-        <_>
-          2 4 1 1 2.</_>
-        <_>
-          3 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 5 -1.</_>
-        <_>
-          14 7 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 5 -1.</_>
-        <_>
-          2 7 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 4 1 -1.</_>
-        <_>
-          14 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 1 4 -1.</_>
-        <_>
-          4 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 7 1 3 -1.</_>
-        <_>
-          13 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 2 -1.</_>
-        <_>
-          0 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 1 3 -1.</_>
-        <_>
-          13 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 1 3 -1.</_>
-        <_>
-          4 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 5 6 -1.</_>
-        <_>
-          13 4 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 5 6 -1.</_>
-        <_>
-          0 4 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 6 -1.</_>
-        <_>
-          11 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 2 -1.</_>
-        <_>
-          4 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 3 -1.</_>
-        <_>
-          9 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 2 -1.</_>
-        <_>
-          9 0 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 6 -1.</_>
-        <_>
-          10 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 6 -1.</_>
-        <_>
-          5 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 1 -1.</_>
-        <_>
-          4 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 2 2 -1.</_>
-        <_>
-          16 9 1 1 2.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 2 -1.</_>
-        <_>
-          1 9 1 1 2.</_>
-        <_>
-          2 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 1 -1.</_>
-        <_>
-          16 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 1 3 -1.</_>
-        <_>
-          2 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 3 -1.</_>
-        <_>
-          10 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 3 2 -1.</_>
-        <_>
-          8 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 6 4 -1.</_>
-        <_>
-          9 5 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 4 2 -1.</_>
-        <_>
-          6 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          16 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 1 -1.</_>
-        <_>
-          5 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          16 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 12 2 -1.</_>
-        <_>
-          0 10 6 1 2.</_>
-        <_>
-          6 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          8 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 2 -1.</_>
-        <_>
-          0 0 7 1 2.</_>
-        <_>
-          7 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 1 3 -1.</_>
-        <_>
-          10 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 2 2 -1.</_>
-        <_>
-          3 10 1 1 2.</_>
-        <_>
-          4 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 2 -1.</_>
-        <_>
-          8 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 4 -1.</_>
-        <_>
-          16 2 1 2 2.</_>
-        <_>
-          15 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 1 -1.</_>
-        <_>
-          1 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 4 -1.</_>
-        <_>
-          0 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_>
-        <_>
-          8 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 1 -1.</_>
-        <_>
-          16 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 6 1 -1.</_>
-        <_>
-          9 3 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 3 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 8 3 -1.</_>
-        <_>
-          6 1 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 1 -1.</_>
-        <_>
-          6 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 1 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 1 -1.</_>
-        <_>
-          16 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 3 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 4 -1.</_>
-        <_>
-          13 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_>
-        <_>
-          9 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 2 -1.</_>
-        <_>
-          7 0 1 1 2.</_>
-        <_>
-          8 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 6 -1.</_>
-        <_>
-          6 3 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 6 7 -1.</_>
-        <_>
-          7 2 2 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 3 -1.</_>
-        <_>
-          6 1 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 4 2 -1.</_>
-        <_>
-          6 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 2 -1.</_>
-        <_>
-          1 4 1 1 2.</_>
-        <_>
-          2 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 3 -1.</_>
-        <_>
-          14 2 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 3 -1.</_>
-        <_>
-          10 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 2 1 -1.</_>
-        <_>
-          4 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 9 -1.</_>
-        <_>
-          1 3 1 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 12 2 -1.</_>
-        <_>
-          9 3 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 2 2 -1.</_>
-        <_>
-          2 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 2 -1.</_>
-        <_>
-          16 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 2 -1.</_>
-        <_>
-          0 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 1 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 3 -1.</_>
-        <_>
-          2 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 7 3 2 -1.</_>
-        <_>
-          14 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 3 -1.</_>
-        <_>
-          4 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 11 6 -1.</_>
-        <_>
-          5 8 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 2 -1.</_>
-        <_>
-          6 8 1 1 2.</_>
-        <_>
-          7 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_>
-        <_>
-          7 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 6 -1.</_>
-        <_>
-          11 4 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 3 -1.</_>
-        <_>
-          7 4 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 8 4 -1.</_>
-        <_>
-          9 6 4 2 2.</_>
-        <_>
-          5 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 6 3 -1.</_>
-        <_>
-          13 5 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 1 -1.</_>
-        <_>
-          2 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 6 3 -1.</_>
-        <_>
-          13 5 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 6 3 -1.</_>
-        <_>
-          3 5 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 9 -1.</_>
-        <_>
-          13 0 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 6 9 -1.</_>
-        <_>
-          3 0 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 6 -1.</_>
-        <_>
-          12 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 6 -1.</_>
-        <_>
-          3 2 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 16 2 -1.</_>
-        <_>
-          8 0 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 5 -1.</_>
-        <_>
-          13 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 6 -1.</_>
-        <_>
-          0 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 3 -1.</_>
-        <_>
-          14 2 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 6 -1.</_>
-        <_>
-          5 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 8 -1.</_>
-        <_>
-          3 4 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 2 -1.</_>
-        <_>
-          5 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 4 -1.</_>
-        <_>
-          13 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 4 -1.</_>
-        <_>
-          3 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 4 -1.</_>
-        <_>
-          9 1 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 6 3 -1.</_>
-        <_>
-          4 4 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 12 1 -1.</_>
-        <_>
-          10 11 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 12 1 -1.</_>
-        <_>
-          4 11 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 11 2 1 -1.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 14 7 -1.</_>
-        <_>
-          7 5 7 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 11 2 1 -1.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 2 1 -1.</_>
-        <_>
-          3 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 11 2 1 -1.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 2 1 -1.</_>
-        <_>
-          3 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 1 -1.</_>
-        <_>
-          14 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 1 -1.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 1 -1.</_>
-        <_>
-          14 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 1 -1.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 2 2 -1.</_>
-        <_>
-          15 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 2 2 -1.</_>
-        <_>
-          3 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 11 2 1 -1.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 11 2 1 -1.</_>
-        <_>
-          5 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 3 -1.</_>
-        <_>
-          14 2 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 10 1 -1.</_>
-        <_>
-          8 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 3 -1.</_>
-        <_>
-          14 2 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 4 -1.</_>
-        <_>
-          4 2 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 6 4 -1.</_>
-        <_>
-          12 2 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 11 4 -1.</_>
-        <_>
-          4 4 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 3 -1.</_>
-        <_>
-          4 0 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 3 -1.</_>
-        <_>
-          14 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 3 -1.</_>
-        <_>
-          4 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 5 6 -1.</_>
-        <_>
-          9 7 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 3 -1.</_>
-        <_>
-          7 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 5 -1.</_>
-        <_>
-          14 5 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 7 -1.</_>
-        <_>
-          1 0 1 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 2 -1.</_>
-        <_>
-          13 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 4 -1.</_>
-        <_>
-          4 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 2 -1.</_>
-        <_>
-          13 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 3 -1.</_>
-        <_>
-          4 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 6 -1.</_>
-        <_>
-          9 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 3 -1.</_>
-        <_>
-          6 4 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 5 -1.</_>
-        <_>
-          12 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 4 5 -1.</_>
-        <_>
-          4 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 3 -1.</_>
-        <_>
-          14 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 6 18 6 -1.</_>
-        <_>
-          0 6 9 3 2.</_>
-        <_>
-          9 9 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 3 -1.</_>
-        <_>
-          14 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 3 -1.</_>
-        <_>
-          4 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 3 -1.</_>
-        <_>
-          6 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 2 1 -1.</_>
-        <_>
-          4 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 1 -1.</_>
-        <_>
-          6 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 1 2 -1.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 2 -1.</_>
-        <_>
-          8 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 10 -1.</_>
-        <_>
-          16 0 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          2 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 1 -1.</_>
-        <_>
-          14 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 3 2 -1.</_>
-        <_>
-          2 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 10 -1.</_>
-        <_>
-          16 0 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 10 2 -1.</_>
-        <_>
-          2 0 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 6 1 4 -1.</_>
-        <_>
-          17 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 4 -1.</_>
-        <_>
-          0 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 12 1 -1.</_>
-        <_>
-          9 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 2 -1.</_>
-        <_>
-          2 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 3 -1.</_>
-        <_>
-          12 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 3 -1.</_>
-        <_>
-          5 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 3 -1.</_>
-        <_>
-          10 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 6 1 -1.</_>
-        <_>
-          3 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 9 2 -1.</_>
-        <_>
-          9 3 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 3 -1.</_>
-        <_>
-          6 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 15 1 -1.</_>
-        <_>
-          8 3 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 3 -1.</_>
-        <_>
-          5 1 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 2 -1.</_>
-        <_>
-          10 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 9 2 -1.</_>
-        <_>
-          5 3 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 3 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 4 -1.</_>
-        <_>
-          0 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 1 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 6 -1.</_>
-        <_>
-          17 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 10 6 -1.</_>
-        <_>
-          0 5 5 3 2.</_>
-        <_>
-          5 8 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 2 -1.</_>
-        <_>
-          11 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 2 -1.</_>
-        <_>
-          6 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 4 -1.</_>
-        <_>
-          11 0 6 2 2.</_>
-        <_>
-          5 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 4 -1.</_>
-        <_>
-          1 0 6 2 2.</_>
-        <_>
-          7 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 4 -1.</_>
-        <_>
-          17 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 3 -1.</_>
-        <_>
-          4 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 4 -1.</_>
-        <_>
-          17 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 1 2 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 2 -1.</_>
-        <_>
-          6 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 6 6 -1.</_>
-        <_>
-          12 4 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 6 1 -1.</_>
-        <_>
-          4 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 9 6 -1.</_>
-        <_>
-          5 9 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 1 -1.</_>
-        <_>
-          6 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 5 -1.</_>
-        <_>
-          11 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 5 -1.</_>
-        <_>
-          5 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 1 -1.</_>
-        <_>
-          16 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 1 -1.</_>
-        <_>
-          1 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 3 -1.</_>
-        <_>
-          17 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 4 3 -1.</_>
-        <_>
-          7 1 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 1 -1.</_>
-        <_>
-          9 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 12 2 -1.</_>
-        <_>
-          1 0 6 1 2.</_>
-        <_>
-          7 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          15 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 3 -1.</_>
-        <_>
-          0 1 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 4 1 -1.</_>
-        <_>
-          8 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 1 -1.</_>
-        <_>
-          8 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 1 3 -1.</_>
-        <_>
-          10 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 6 1 -1.</_>
-        <_>
-          8 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 5 4 -1.</_>
-        <_>
-          13 5 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 5 4 -1.</_>
-        <_>
-          0 5 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 6 -1.</_>
-        <_>
-          10 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 4 1 -1.</_>
-        <_>
-          6 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 4 -1.</_>
-        <_>
-          10 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 14 3 -1.</_>
-        <_>
-          9 7 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 8 1 -1.</_>
-        <_>
-          5 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 16 1 -1.</_>
-        <_>
-          8 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 4 5 -1.</_>
-        <_>
-          14 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 4 5 -1.</_>
-        <_>
-          14 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 4 5 -1.</_>
-        <_>
-          2 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 6 -1.</_>
-        <_>
-          12 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 4 1 -1.</_>
-        <_>
-          3 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 10 -1.</_>
-        <_>
-          10 0 1 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 10 2 -1.</_>
-        <_>
-          8 0 10 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 1 4 -1.</_>
-        <_>
-          11 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 3 -1.</_>
-        <_>
-          6 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 3 -1.</_>
-        <_>
-          16 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 3 -1.</_>
-        <_>
-          0 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 11 4 1 -1.</_>
-        <_>
-          15 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 4 1 -1.</_>
-        <_>
-          1 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 1 2 -1.</_>
-        <_>
-          13 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 1 -1.</_>
-        <_>
-          8 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 1 -1.</_>
-        <_>
-          5 0 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 1 -1.</_>
-        <_>
-          5 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 5 -1.</_>
-        <_>
-          13 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 1 -1.</_>
-        <_>
-          6 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 5 -1.</_>
-        <_>
-          13 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 1 -1.</_>
-        <_>
-          7 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 6 -1.</_>
-        <_>
-          10 4 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 4 6 -1.</_>
-        <_>
-          6 4 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 4 -1.</_>
-        <_>
-          8 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 2 -1.</_>
-        <_>
-          10 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 9 12 3 -1.</_>
-        <_>
-          8 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 12 3 -1.</_>
-        <_>
-          4 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 6 -1.</_>
-        <_>
-          10 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 10 4 -1.</_>
-        <_>
-          4 3 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 6 1 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 1 -1.</_>
-        <_>
-          5 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 12 3 -1.</_>
-        <_>
-          3 9 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 2 -1.</_>
-        <_>
-          0 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 4 -1.</_>
-        <_>
-          10 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 4 -1.</_>
-        <_>
-          5 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 3 -1.</_>
-        <_>
-          10 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 2 -1.</_>
-        <_>
-          7 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 3 -1.</_>
-        <_>
-          17 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 2 2 -1.</_>
-        <_>
-          2 7 1 1 2.</_>
-        <_>
-          3 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 4 -1.</_>
-        <_>
-          13 6 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          0 0 9 6 2.</_>
-        <_>
-          9 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 4 1 -1.</_>
-        <_>
-          13 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 4 3 -1.</_>
-        <_>
-          5 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 3 -1.</_>
-        <_>
-          17 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 10 4 -1.</_>
-        <_>
-          0 4 5 2 2.</_>
-        <_>
-          5 6 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 3 -1.</_>
-        <_>
-          8 5 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 5 -1.</_>
-        <_>
-          3 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 2 2 -1.</_>
-        <_>
-          10 6 1 1 2.</_>
-        <_>
-          9 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 3 -1.</_>
-        <_>
-          0 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 2 -1.</_>
-        <_>
-          0 9 1 1 2.</_>
-        <_>
-          1 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 2 -1.</_>
-        <_>
-          16 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 2 2 -1.</_>
-        <_>
-          2 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 8 2 -1.</_>
-        <_>
-          12 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 2 -1.</_>
-        <_>
-          2 10 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 2 -1.</_>
-        <_>
-          15 7 1 1 2.</_>
-        <_>
-          14 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 1 4 -1.</_>
-        <_>
-          3 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 6 -1.</_>
-        <_>
-          17 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 12 3 -1.</_>
-        <_>
-          2 8 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 6 -1.</_>
-        <_>
-          17 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 6 -1.</_>
-        <_>
-          0 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 2 1 -1.</_>
-        <_>
-          2 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 1 3 -1.</_>
-        <_>
-          9 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 2 -1.</_>
-        <_>
-          9 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 2 -1.</_>
-        <_>
-          7 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 3 2 -1.</_>
-        <_>
-          10 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 3 -1.</_>
-        <_>
-          8 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 4 -1.</_>
-        <_>
-          3 6 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 4 4 -1.</_>
-        <_>
-          5 1 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 4 -1.</_>
-        <_>
-          11 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 7 4 -1.</_>
-        <_>
-          2 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          9 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          9 1 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 3 8 -1.</_>
-        <_>
-          11 2 1 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 8 3 -1.</_>
-        <_>
-          7 2 8 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 1 -1.</_>
-        <_>
-          13 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 1 3 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 2 -1.</_>
-        <_>
-          14 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 3 -1.</_>
-        <_>
-          5 3 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 4 -1.</_>
-        <_>
-          3 4 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 3 6 -1.</_>
-        <_>
-          3 4 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 3 -1.</_>
-        <_>
-          14 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 3 3 -1.</_>
-        <_>
-          4 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 2 -1.</_>
-        <_>
-          9 5 9 1 2.</_>
-        <_>
-          0 6 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 1 4 -1.</_>
-        <_>
-          7 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 2 -1.</_>
-        <_>
-          14 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 3 -1.</_>
-        <_>
-          4 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 3 3 -1.</_>
-        <_>
-          0 2 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 5 8 -1.</_>
-        <_>
-          7 8 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 1 -1.</_>
-        <_>
-          12 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 3 1 -1.</_>
-        <_>
-          5 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 6 9 -1.</_>
-        <_>
-          12 5 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 6 9 -1.</_>
-        <_>
-          4 5 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 2 4 -1.</_>
-        <_>
-          16 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 4 -1.</_>
-        <_>
-          0 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 2 -1.</_>
-        <_>
-          16 4 1 1 2.</_>
-        <_>
-          15 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 2 -1.</_>
-        <_>
-          1 4 1 1 2.</_>
-        <_>
-          2 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 9 6 -1.</_>
-        <_>
-          12 5 3 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 12 4 -1.</_>
-        <_>
-          2 5 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 1 2 -1.</_>
-        <_>
-          12 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 2 -1.</_>
-        <_>
-          7 3 1 1 2.</_>
-        <_>
-          8 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 6 3 -1.</_>
-        <_>
-          7 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 2 -1.</_>
-        <_>
-          8 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 4 -1.</_>
-        <_>
-          16 0 2 2 2.</_>
-        <_>
-          14 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 6 7 -1.</_>
-        <_>
-          7 4 2 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 4 -1.</_>
-        <_>
-          16 0 2 2 2.</_>
-        <_>
-          14 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 2 -1.</_>
-        <_>
-          5 8 1 1 2.</_>
-        <_>
-          6 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 4 -1.</_>
-        <_>
-          16 0 2 2 2.</_>
-        <_>
-          14 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 2 -1.</_>
-        <_>
-          5 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 4 4 -1.</_>
-        <_>
-          8 1 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 7 3 -1.</_>
-        <_>
-          3 3 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          0 0 9 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 6 -1.</_>
-        <_>
-          9 0 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 9 3 -1.</_>
-        <_>
-          5 9 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 8 1 -1.</_>
-        <_>
-          9 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 4 -1.</_>
-        <_>
-          9 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 4 -1.</_>
-        <_>
-          0 0 3 2 2.</_>
-        <_>
-          3 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 9 -1.</_>
-        <_>
-          11 3 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 9 9 -1.</_>
-        <_>
-          4 3 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 11 3 1 -1.</_>
-        <_>
-          16 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 2 -1.</_>
-        <_>
-          3 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 12 3 -1.</_>
-        <_>
-          6 3 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 3 1 -1.</_>
-        <_>
-          1 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 1 2 -1.</_>
-        <_>
-          16 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 2 2 -1.</_>
-        <_>
-          0 10 1 1 2.</_>
-        <_>
-          1 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 1 2 -1.</_>
-        <_>
-          17 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 1 2 -1.</_>
-        <_>
-          0 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 1 -1.</_>
-        <_>
-          16 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 1 3 -1.</_>
-        <_>
-          2 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 9 6 -1.</_>
-        <_>
-          12 5 3 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 9 6 -1.</_>
-        <_>
-          3 5 3 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 1 6 -1.</_>
-        <_>
-          12 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 2 1 -1.</_>
-        <_>
-          4 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 2 -1.</_>
-        <_>
-          8 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 12 2 -1.</_>
-        <_>
-          4 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 8 11 -1.</_>
-        <_>
-          9 1 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 8 11 -1.</_>
-        <_>
-          5 1 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 6 -1.</_>
-        <_>
-          10 5 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 3 -1.</_>
-        <_>
-          4 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 1 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 4 1 -1.</_>
-        <_>
-          10 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 6 5 -1.</_>
-        <_>
-          6 7 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 5 4 -1.</_>
-        <_>
-          13 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 5 4 -1.</_>
-        <_>
-          0 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 1 -1.</_>
-        <_>
-          14 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 5 1 3 -1.</_>
-        <_>
-          4 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          7 10 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 2 -1.</_>
-        <_>
-          5 9 1 1 2.</_>
-        <_>
-          6 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 1 -1.</_>
-        <_>
-          15 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 1 -1.</_>
-        <_>
-          7 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 10 2 1 -1.</_>
-        <_>
-          11 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 2 1 -1.</_>
-        <_>
-          6 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 14 2 -1.</_>
-        <_>
-          11 10 7 1 2.</_>
-        <_>
-          4 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 14 2 -1.</_>
-        <_>
-          0 10 7 1 2.</_>
-        <_>
-          7 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 3 -1.</_>
-        <_>
-          9 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 3 1 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 15 3 -1.</_>
-        <_>
-          7 0 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 7 3 -1.</_>
-        <_>
-          5 2 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 2 -1.</_>
-        <_>
-          8 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 1 2 -1.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 3 1 -1.</_>
-        <_>
-          1 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 3 -1.</_>
-        <_>
-          15 1 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 3 -1.</_>
-        <_>
-          1 1 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 2 1 -1.</_>
-        <_>
-          6 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 2 -1.</_>
-        <_>
-          16 4 1 1 2.</_>
-        <_>
-          15 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 4 -1.</_>
-        <_>
-          0 0 9 2 2.</_>
-        <_>
-          9 2 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 3 -1.</_>
-        <_>
-          13 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 10 1 2 -1.</_>
-        <_>
-          7 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 3 -1.</_>
-        <_>
-          13 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 4 9 7 -1.</_>
-        <_>
-          5 4 3 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 2 -1.</_>
-        <_>
-          11 10 1 1 2.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 2 1 -1.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 1 -1.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 3 1 -1.</_>
-        <_>
-          8 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 4 1 -1.</_>
-        <_>
-          10 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 2 1 -1.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 1 -1.</_>
-        <_>
-          9 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 3 1 -1.</_>
-        <_>
-          8 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 1 -1.</_>
-        <_>
-          9 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 18 4 -1.</_>
-        <_>
-          0 8 9 2 2.</_>
-        <_>
-          9 10 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 1 -1.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 1 -1.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 6 1 -1.</_>
-        <_>
-          9 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 6 1 -1.</_>
-        <_>
-          8 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 2 -1.</_>
-        <_>
-          16 4 1 1 2.</_>
-        <_>
-          15 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 3 6 -1.</_>
-        <_>
-          3 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 3 -1.</_>
-        <_>
-          13 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 2 -1.</_>
-        <_>
-          5 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 8 6 -1.</_>
-        <_>
-          14 2 4 3 2.</_>
-        <_>
-          10 5 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 8 6 -1.</_>
-        <_>
-          0 2 4 3 2.</_>
-        <_>
-          4 5 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 2 -1.</_>
-        <_>
-          16 4 1 1 2.</_>
-        <_>
-          15 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 2 -1.</_>
-        <_>
-          1 4 1 1 2.</_>
-        <_>
-          2 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 3 8 -1.</_>
-        <_>
-          14 8 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 2 -1.</_>
-        <_>
-          7 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 4 -1.</_>
-        <_>
-          16 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 4 -1.</_>
-        <_>
-          0 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 1 12 -1.</_>
-        <_>
-          14 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 1 4 -1.</_>
-        <_>
-          5 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 6 -1.</_>
-        <_>
-          16 0 2 3 2.</_>
-        <_>
-          14 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 6 -1.</_>
-        <_>
-          0 0 2 3 2.</_>
-        <_>
-          2 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 10 -1.</_>
-        <_>
-          16 0 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 3 2 -1.</_>
-        <_>
-          5 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 8 1 -1.</_>
-        <_>
-          11 3 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 8 1 -1.</_>
-        <_>
-          3 3 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 2 -1.</_>
-        <_>
-          14 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 1 12 2 -1.</_>
-        <_>
-          1 1 6 1 2.</_>
-        <_>
-          7 2 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 9 -1.</_>
-        <_>
-          17 3 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 2 -1.</_>
-        <_>
-          1 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 7 2 -1.</_>
-        <_>
-          10 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 4 -1.</_>
-        <_>
-          8 3 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 1 -1.</_>
-        <_>
-          12 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 1 -1.</_>
-        <_>
-          3 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 12 4 -1.</_>
-        <_>
-          3 4 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 1 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 15 3 -1.</_>
-        <_>
-          8 1 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 3 -1.</_>
-        <_>
-          4 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 8 2 -1.</_>
-        <_>
-          5 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 2 -1.</_>
-        <_>
-          8 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 8 -1.</_>
-        <_>
-          9 0 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 4 -1.</_>
-        <_>
-          9 0 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 3 -1.</_>
-        <_>
-          6 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 2 5 8 -1.</_>
-        <_>
-          13 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 6 -1.</_>
-        <_>
-          1 0 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 6 -1.</_>
-        <_>
-          12 5 1 3 2.</_>
-        <_>
-          11 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 6 -1.</_>
-        <_>
-          5 5 1 3 2.</_>
-        <_>
-          6 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 6 -1.</_>
-        <_>
-          8 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 5 -1.</_>
-        <_>
-          2 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 12 2 -1.</_>
-        <_>
-          3 11 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 1 3 -1.</_>
-        <_>
-          1 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 4 -1.</_>
-        <_>
-          4 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          6 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 4 -1.</_>
-        <_>
-          17 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 5 3 -1.</_>
-        <_>
-          7 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 1 -1.</_>
-        <_>
-          10 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 2 -1.</_>
-        <_>
-          13 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 6 4 -1.</_>
-        <_>
-          5 1 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 4 -1.</_>
-        <_>
-          8 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 2 -1.</_>
-        <_>
-          3 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 3 -1.</_>
-        <_>
-          11 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 4 3 -1.</_>
-        <_>
-          6 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 5 9 -1.</_>
-        <_>
-          13 5 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 5 8 -1.</_>
-        <_>
-          0 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 2 -1.</_>
-        <_>
-          13 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 10 2 -1.</_>
-        <_>
-          2 0 5 1 2.</_>
-        <_>
-          7 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 5 2 -1.</_>
-        <_>
-          13 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 5 2 -1.</_>
-        <_>
-          0 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 1 3 -1.</_>
-        <_>
-          13 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 1 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 10 2 -1.</_>
-        <_>
-          12 2 5 1 2.</_>
-        <_>
-          7 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 3 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 2 -1.</_>
-        <_>
-          15 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          8 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 18 2 -1.</_>
-        <_>
-          6 10 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 1 -1.</_>
-        <_>
-          10 4 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 4 -1.</_>
-        <_>
-          9 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 4 -1.</_>
-        <_>
-          5 2 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 4 3 -1.</_>
-        <_>
-          13 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 3 -1.</_>
-        <_>
-          4 1 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 14 4 -1.</_>
-        <_>
-          10 1 7 2 2.</_>
-        <_>
-          3 3 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 4 3 -1.</_>
-        <_>
-          3 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 4 2 -1.</_>
-        <_>
-          11 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 5 6 -1.</_>
-        <_>
-          5 8 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 6 -1.</_>
-        <_>
-          7 6 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 10 2 -1.</_>
-        <_>
-          4 5 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 2 -1.</_>
-        <_>
-          12 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 6 8 -1.</_>
-        <_>
-          7 6 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 4 -1.</_>
-        <_>
-          0 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 2 -1.</_>
-        <_>
-          12 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 8 -1.</_>
-        <_>
-          0 2 1 4 2.</_>
-        <_>
-          1 6 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 4 -1.</_>
-        <_>
-          15 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 4 -1.</_>
-        <_>
-          1 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 2 2 -1.</_>
-        <_>
-          12 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 2 -1.</_>
-        <_>
-          6 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 2 -1.</_>
-        <_>
-          12 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 3 2 -1.</_>
-        <_>
-          5 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 4 3 -1.</_>
-        <_>
-          11 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 2 -1.</_>
-        <_>
-          2 10 1 1 2.</_>
-        <_>
-          3 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 4 3 -1.</_>
-        <_>
-          11 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 1 -1.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 1 3 -1.</_>
-        <_>
-          11 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 12 4 -1.</_>
-        <_>
-          12 6 6 2 2.</_>
-        <_>
-          6 8 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 4 3 -1.</_>
-        <_>
-          5 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 15 3 -1.</_>
-        <_>
-          8 1 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 15 3 -1.</_>
-        <_>
-          5 1 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 5 -1.</_>
-        <_>
-          10 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 6 5 -1.</_>
-        <_>
-          6 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 2 -1.</_>
-        <_>
-          11 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 2 -1.</_>
-        <_>
-          5 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 3 -1.</_>
-        <_>
-          8 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 3 -1.</_>
-        <_>
-          0 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 3 -1.</_>
-        <_>
-          8 5 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 1 -1.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 2 -1.</_>
-        <_>
-          7 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 3 2 -1.</_>
-        <_>
-          3 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 4 3 -1.</_>
-        <_>
-          6 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 4 -1.</_>
-        <_>
-          15 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 11 3 -1.</_>
-        <_>
-          3 3 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 2 -1.</_>
-        <_>
-          14 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 5 3 4 -1.</_>
-        <_>
-          2 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 3 -1.</_>
-        <_>
-          14 1 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 1 2 -1.</_>
-        <_>
-          4 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 3 -1.</_>
-        <_>
-          17 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 12 7 -1.</_>
-        <_>
-          6 5 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 1 -1.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 18 10 -1.</_>
-        <_>
-          9 1 9 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 10 -1.</_>
-        <_>
-          7 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 14 4 -1.</_>
-        <_>
-          1 0 7 2 2.</_>
-        <_>
-          8 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 7 6 -1.</_>
-        <_>
-          8 7 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 9 3 -1.</_>
-        <_>
-          4 1 9 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 3 -1.</_>
-        <_>
-          8 9 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 1 4 -1.</_>
-        <_>
-          4 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 2 -1.</_>
-        <_>
-          9 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          7 5 1 1 2.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 1 6 -1.</_>
-        <_>
-          17 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 1 3 -1.</_>
-        <_>
-          0 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 6 -1.</_>
-        <_>
-          1 5 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 5 -1.</_>
-        <_>
-          16 7 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 1 6 -1.</_>
-        <_>
-          0 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 5 -1.</_>
-        <_>
-          16 7 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 5 -1.</_>
-        <_>
-          1 7 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 2 2 -1.</_>
-        <_>
-          16 10 1 1 2.</_>
-        <_>
-          15 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 2 2 -1.</_>
-        <_>
-          1 10 1 1 2.</_>
-        <_>
-          2 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 6 -1.</_>
-        <_>
-          16 4 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 6 -1.</_>
-        <_>
-          0 4 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 1 -1.</_>
-        <_>
-          16 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 1 2 -1.</_>
-        <_>
-          2 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 3 -1.</_>
-        <_>
-          15 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 7 3 2 -1.</_>
-        <_>
-          3 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 2 2 2 -1.</_>
-        <_>
-          17 2 1 1 2.</_>
-        <_>
-          16 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 6 -1.</_>
-        <_>
-          3 3 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 1 3 -1.</_>
-        <_>
-          4 5 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 4 -1.</_>
-        <_>
-          12 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 5 3 -1.</_>
-        <_>
-          4 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 3 -1.</_>
-        <_>
-          12 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 4 1 -1.</_>
-        <_>
-          5 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 1 -1.</_>
-        <_>
-          10 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          10 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 2 1 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 3 -1.</_>
-        <_>
-          12 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 12 1 -1.</_>
-        <_>
-          7 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 2 -1.</_>
-        <_>
-          8 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 3 -1.</_>
-        <_>
-          4 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 5 -1.</_>
-        <_>
-          7 1 4 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 3 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 10 3 -1.</_>
-        <_>
-          4 2 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 3 -1.</_>
-        <_>
-          7 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 2 -1.</_>
-        <_>
-          15 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 9 6 -1.</_>
-        <_>
-          4 8 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 2 -1.</_>
-        <_>
-          15 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 4 2 -1.</_>
-        <_>
-          1 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 2 -1.</_>
-        <_>
-          11 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 5 2 -1.</_>
-        <_>
-          0 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 2 1 -1.</_>
-        <_>
-          14 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 1 3 -1.</_>
-        <_>
-          2 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 6 2.</_>
-        <_>
-          0 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 12 -1.</_>
-        <_>
-          5 0 1 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 8 -1.</_>
-        <_>
-          12 0 1 4 2.</_>
-        <_>
-          11 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 8 -1.</_>
-        <_>
-          5 0 1 4 2.</_>
-        <_>
-          6 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          8 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 4 2 -1.</_>
-        <_>
-          13 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 4 -1.</_>
-        <_>
-          5 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 1 -1.</_>
-        <_>
-          15 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 2 1 -1.</_>
-        <_>
-          2 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 1 3 -1.</_>
-        <_>
-          10 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 2 -1.</_>
-        <_>
-          3 0 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 9 1 -1.</_>
-        <_>
-          12 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 2 -1.</_>
-        <_>
-          9 2 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 8 -1.</_>
-        <_>
-          9 6 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 3 -1.</_>
-        <_>
-          6 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 6 3 -1.</_>
-        <_>
-          6 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 10 2 2 -1.</_>
-        <_>
-          3 10 1 1 2.</_>
-        <_>
-          4 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 2 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 12 2 -1.</_>
-        <_>
-          8 6 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 3 -1.</_>
-        <_>
-          11 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 11 -1.</_>
-        <_>
-          16 0 1 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 11 -1.</_>
-        <_>
-          0 0 9 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 6 -1.</_>
-        <_>
-          5 2 5 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 1 8 -1.</_>
-        <_>
-          9 3 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 3 12 3 -1.</_>
-        <_>
-          5 3 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 9 -1.</_>
-        <_>
-          14 3 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 9 -1.</_>
-        <_>
-          0 3 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 1 10 -1.</_>
-        <_>
-          10 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 3 3 2 -1.</_>
-        <_>
-          4 4 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 11 14 1 -1.</_>
-        <_>
-          4 11 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 16 2 -1.</_>
-        <_>
-          4 10 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 3 -1.</_>
-        <_>
-          11 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 3 -1.</_>
-        <_>
-          5 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 7 3 -1.</_>
-        <_>
-          6 9 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 12 6 -1.</_>
-        <_>
-          4 7 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 2 -1.</_>
-        <_>
-          16 3 1 1 2.</_>
-        <_>
-          15 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 2 2 -1.</_>
-        <_>
-          1 3 1 1 2.</_>
-        <_>
-          2 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 2 -1.</_>
-        <_>
-          16 3 1 1 2.</_>
-        <_>
-          15 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 2 2 -1.</_>
-        <_>
-          1 3 1 1 2.</_>
-        <_>
-          2 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 1 2 -1.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 2 2 -1.</_>
-        <_>
-          1 3 1 1 2.</_>
-        <_>
-          2 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 4 -1.</_>
-        <_>
-          9 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 3 -1.</_>
-        <_>
-          6 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          8 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          9 7 1 1 2.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 5 -1.</_>
-        <_>
-          9 0 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 1 4 -1.</_>
-        <_>
-          8 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 1 -1.</_>
-        <_>
-          10 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 8 4 -1.</_>
-        <_>
-          14 6 4 2 2.</_>
-        <_>
-          10 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 12 2 -1.</_>
-        <_>
-          3 8 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 1 2 -1.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 1 2 -1.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 4 -1.</_>
-        <_>
-          8 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 2 -1.</_>
-        <_>
-          9 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 4 -1.</_>
-        <_>
-          14 0 4 2 2.</_>
-        <_>
-          10 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 4 -1.</_>
-        <_>
-          0 0 4 2 2.</_>
-        <_>
-          4 2 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 1 -1.</_>
-        <_>
-          9 2 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 6 2 6 -1.</_>
-        <_>
-          13 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 4 2 -1.</_>
-        <_>
-          8 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 14 2 -1.</_>
-        <_>
-          10 9 7 1 2.</_>
-        <_>
-          3 10 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 10 -1.</_>
-        <_>
-          1 0 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 3 -1.</_>
-        <_>
-          16 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 6 -1.</_>
-        <_>
-          17 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 6 -1.</_>
-        <_>
-          0 2 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 14 1 -1.</_>
-        <_>
-          4 6 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 2 -1.</_>
-        <_>
-          11 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 6 2 -1.</_>
-        <_>
-          5 6 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 1 2 -1.</_>
-        <_>
-          10 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 6 -1.</_>
-        <_>
-          3 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 3 -1.</_>
-        <_>
-          16 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 8 3 1 -1.</_>
-        <_>
-          2 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 4 5 -1.</_>
-        <_>
-          15 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 5 -1.</_>
-        <_>
-          1 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 3 9 -1.</_>
-        <_>
-          13 5 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 9 -1.</_>
-        <_>
-          4 5 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 1 3 -1.</_>
-        <_>
-          9 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          8 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 1 -1.</_>
-        <_>
-          14 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 1 3 -1.</_>
-        <_>
-          4 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 1 2 -1.</_>
-        <_>
-          14 5 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 2 1 -1.</_>
-        <_>
-          4 5 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 2 4 1 -1.</_>
-        <_>
-          14 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 4 1 -1.</_>
-        <_>
-          2 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 1 -1.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 5 8 -1.</_>
-        <_>
-          1 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 2 2 -1.</_>
-        <_>
-          15 6 1 1 2.</_>
-        <_>
-          14 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 2 1 -1.</_>
-        <_>
-          6 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 2 -1.</_>
-        <_>
-          9 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 9 1 -1.</_>
-        <_>
-          12 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 11 6 1 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 15 3 -1.</_>
-        <_>
-          5 9 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 8 4 -1.</_>
-        <_>
-          14 6 4 2 2.</_>
-        <_>
-          10 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 10 4 -1.</_>
-        <_>
-          1 6 5 2 2.</_>
-        <_>
-          6 8 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 2 8 -1.</_>
-        <_>
-          13 2 1 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 2 -1.</_>
-        <_>
-          5 2 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 2 -1.</_>
-        <_>
-          0 6 1 1 2.</_>
-        <_>
-          1 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 1 3 -1.</_>
-        <_>
-          2 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 1 -1.</_>
-        <_>
-          16 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 1 3 -1.</_>
-        <_>
-          8 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 3 -1.</_>
-        <_>
-          11 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 3 -1.</_>
-        <_>
-          8 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 10 -1.</_>
-        <_>
-          11 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 1 2 -1.</_>
-        <_>
-          2 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 10 -1.</_>
-        <_>
-          11 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 10 1 -1.</_>
-        <_>
-          7 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 11 8 -1.</_>
-        <_>
-          4 3 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 6 1 -1.</_>
-        <_>
-          3 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 2 -1.</_>
-        <_>
-          10 2 1 1 2.</_>
-        <_>
-          9 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 10 6 -1.</_>
-        <_>
-          0 3 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 1 3 -1.</_>
-        <_>
-          13 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 3 1 -1.</_>
-        <_>
-          5 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 2 2 -1.</_>
-        <_>
-          10 2 1 1 2.</_>
-        <_>
-          9 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 10 -1.</_>
-        <_>
-          17 0 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 10 1 -1.</_>
-        <_>
-          1 0 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 11 2 1 -1.</_>
-        <_>
-          14 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 11 2 1 -1.</_>
-        <_>
-          3 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 6 6 -1.</_>
-        <_>
-          15 5 3 3 2.</_>
-        <_>
-          12 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 8 6 -1.</_>
-        <_>
-          0 5 4 3 2.</_>
-        <_>
-          4 8 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 3 1 -1.</_>
-        <_>
-          13 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 6 14 1 -1.</_>
-        <_>
-          7 6 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 3 1 -1.</_>
-        <_>
-          13 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 3 -1.</_>
-        <_>
-          7 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 1 3 -1.</_>
-        <_>
-          17 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 1 3 -1.</_>
-        <_>
-          5 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          9 7 1 1 2.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 1 3 -1.</_>
-        <_>
-          0 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 6 -1.</_>
-        <_>
-          3 2 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 1 3 -1.</_>
-        <_>
-          13 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 1 3 -1.</_>
-        <_>
-          4 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 1 3 -1.</_>
-        <_>
-          9 5 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 8 2 2 -1.</_>
-        <_>
-          4 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 12 4 -1.</_>
-        <_>
-          6 10 12 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 5 -1.</_>
-        <_>
-          2 6 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 4 3 -1.</_>
-        <_>
-          14 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 4 3 -1.</_>
-        <_>
-          2 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 2 -1.</_>
-        <_>
-          8 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 3 2 -1.</_>
-        <_>
-          15 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 3 2 -1.</_>
-        <_>
-          0 11 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 3 -1.</_>
-        <_>
-          7 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 7 4 -1.</_>
-        <_>
-          6 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 7 2 -1.</_>
-        <_>
-          0 7 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          16 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 2 -1.</_>
-        <_>
-          5 0 1 1 2.</_>
-        <_>
-          6 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 1 -1.</_>
-        <_>
-          10 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 1 -1.</_>
-        <_>
-          6 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 2 2 -1.</_>
-        <_>
-          17 7 1 1 2.</_>
-        <_>
-          16 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 2 2 -1.</_>
-        <_>
-          0 7 1 1 2.</_>
-        <_>
-          1 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 3 1 -1.</_>
-        <_>
-          12 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 3 1 -1.</_>
-        <_>
-          5 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 6 1 -1.</_>
-        <_>
-          12 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 8 2 -1.</_>
-        <_>
-          6 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 1 3 -1.</_>
-        <_>
-          14 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 3 1 -1.</_>
-        <_>
-          4 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 4 2 8 -1.</_>
-        <_>
-          15 8 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 8 -1.</_>
-        <_>
-          1 8 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 6 3 -1.</_>
-        <_>
-          7 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 14 2 -1.</_>
-        <_>
-          9 3 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 7 6 -1.</_>
-        <_>
-          8 7 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 7 6 -1.</_>
-        <_>
-          3 7 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 6 6 -1.</_>
-        <_>
-          13 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 6 6 -1.</_>
-        <_>
-          3 5 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 5 4 -1.</_>
-        <_>
-          13 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 5 4 -1.</_>
-        <_>
-          0 9 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 2 1 -1.</_>
-        <_>
-          11 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 11 16 1 -1.</_>
-        <_>
-          8 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 8 4 -1.</_>
-        <_>
-          11 5 4 2 2.</_>
-        <_>
-          7 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 3 -1.</_>
-        <_>
-          6 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 2 -1.</_>
-        <_>
-          9 3 4 1 2.</_>
-        <_>
-          5 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 6 4 -1.</_>
-        <_>
-          4 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 9 2 -1.</_>
-        <_>
-          9 2 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 6 2 -1.</_>
-        <_>
-          4 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 3 -1.</_>
-        <_>
-          3 7 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 1 3 -1.</_>
-        <_>
-          7 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 9 2 -1.</_>
-        <_>
-          9 2 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 9 2 -1.</_>
-        <_>
-          6 2 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 2 -1.</_>
-        <_>
-          10 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 2 -1.</_>
-        <_>
-          4 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 12 2 -1.</_>
-        <_>
-          3 9 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 8 2 -1.</_>
-        <_>
-          4 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 2 1 -1.</_>
-        <_>
-          14 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 1 2 -1.</_>
-        <_>
-          4 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 5 -1.</_>
-        <_>
-          14 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 5 -1.</_>
-        <_>
-          2 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 4 -1.</_>
-        <_>
-          8 6 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 3 -1.</_>
-        <_>
-          6 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 3 -1.</_>
-        <_>
-          14 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 10 4 -1.</_>
-        <_>
-          4 4 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 12 4 -1.</_>
-        <_>
-          10 0 4 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 4 -1.</_>
-        <_>
-          3 0 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 2 -1.</_>
-        <_>
-          10 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 2 -1.</_>
-        <_>
-          4 7 1 1 2.</_>
-        <_>
-          5 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 2 -1.</_>
-        <_>
-          10 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 6 1 -1.</_>
-        <_>
-          6 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 9 -1.</_>
-        <_>
-          6 3 3 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 5 14 6 -1.</_>
-        <_>
-          2 5 7 3 2.</_>
-        <_>
-          9 8 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 1 -1.</_>
-        <_>
-          15 4 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 6 2 -1.</_>
-        <_>
-          3 4 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 10 16 1 -1.</_>
-        <_>
-          6 10 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 3 3 -1.</_>
-        <_>
-          5 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          16 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          1 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 3 -1.</_>
-        <_>
-          10 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 5 3 -1.</_>
-        <_>
-          2 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 1 6 -1.</_>
-        <_>
-          10 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 9 2 1 -1.</_>
-        <_>
-          1 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 4 3 -1.</_>
-        <_>
-          7 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 2 2 -1.</_>
-        <_>
-          3 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 5 -1.</_>
-        <_>
-          13 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 6 5 -1.</_>
-        <_>
-          3 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 3 -1.</_>
-        <_>
-          3 1 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          6 1 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 2 -1.</_>
-        <_>
-          12 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 6 5 -1.</_>
-        <_>
-          2 2 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 1 -1.</_>
-        <_>
-          15 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 8 3 -1.</_>
-        <_>
-          5 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 2 -1.</_>
-        <_>
-          12 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 3 -1.</_>
-        <_>
-          6 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 18 2 -1.</_>
-        <_>
-          6 3 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 7 -1.</_>
-        <_>
-          2 5 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 10 5 2 -1.</_>
-        <_>
-          13 11 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 5 2 -1.</_>
-        <_>
-          0 11 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 4 -1.</_>
-        <_>
-          9 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 4 -1.</_>
-        <_>
-          7 0 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 1 4 -1.</_>
-        <_>
-          10 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          8 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          9 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 6 2 -1.</_>
-        <_>
-          7 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 6 8 -1.</_>
-        <_>
-          9 4 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 12 4 -1.</_>
-        <_>
-          6 4 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 4 4 -1.</_>
-        <_>
-          13 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 6 2 -1.</_>
-        <_>
-          8 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 4 4 -1.</_>
-        <_>
-          13 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 4 4 -1.</_>
-        <_>
-          3 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          16 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 3 3 -1.</_>
-        <_>
-          2 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 4 5 -1.</_>
-        <_>
-          8 6 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 3 -1.</_>
-        <_>
-          6 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 3 5 -1.</_>
-        <_>
-          11 3 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 5 3 -1.</_>
-        <_>
-          7 3 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 4 2 -1.</_>
-        <_>
-          7 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 8 6 -1.</_>
-        <_>
-          5 6 4 3 2.</_>
-        <_>
-          9 9 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 1 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 3 -1.</_>
-        <_>
-          6 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 1 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 4 2 -1.</_>
-        <_>
-          4 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 2 -1.</_>
-        <_>
-          15 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 4 2 -1.</_>
-        <_>
-          1 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 4 -1.</_>
-        <_>
-          10 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 3 2 -1.</_>
-        <_>
-          8 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 3 -1.</_>
-        <_>
-          10 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 1 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 2 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          8 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 1 -1.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 1 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 1 -1.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 1 3 -1.</_>
-        <_>
-          15 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 1 3 -1.</_>
-        <_>
-          2 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 6 -1.</_>
-        <_>
-          15 5 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 3 6 -1.</_>
-        <_>
-          0 5 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 3 2 -1.</_>
-        <_>
-          16 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 6 -1.</_>
-        <_>
-          4 9 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 3 -1.</_>
-        <_>
-          2 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 2 -1.</_>
-        <_>
-          17 1 1 1 2.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 2 -1.</_>
-        <_>
-          5 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 8 2 -1.</_>
-        <_>
-          13 2 4 1 2.</_>
-        <_>
-          9 3 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 1 -1.</_>
-        <_>
-          12 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 1 -1.</_>
-        <_>
-          5 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 4 3 -1.</_>
-        <_>
-          7 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 15 1 -1.</_>
-        <_>
-          5 1 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 1 2 -1.</_>
-        <_>
-          7 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 8 3 -1.</_>
-        <_>
-          4 2 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 2 1 -1.</_>
-        <_>
-          13 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 1 -1.</_>
-        <_>
-          4 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 3 -1.</_>
-        <_>
-          17 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 2 2 -1.</_>
-        <_>
-          7 10 1 1 2.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 1 -1.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 1 -1.</_>
-        <_>
-          8 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 1 -1.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 4 1 -1.</_>
-        <_>
-          8 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 1 3 -1.</_>
-        <_>
-          17 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 3 -1.</_>
-        <_>
-          0 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 2 2 -1.</_>
-        <_>
-          4 6 1 1 2.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 6 4 -1.</_>
-        <_>
-          14 6 3 2 2.</_>
-        <_>
-          11 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 3 2 -1.</_>
-        <_>
-          6 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 1 -1.</_>
-        <_>
-          6 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          1 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 3 -1.</_>
-        <_>
-          16 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 2 3 -1.</_>
-        <_>
-          1 9 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 3 -1.</_>
-        <_>
-          13 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 6 -1.</_>
-        <_>
-          5 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 3 -1.</_>
-        <_>
-          13 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 4 3 2 -1.</_>
-        <_>
-          5 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 15 4 -1.</_>
-        <_>
-          8 8 5 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 15 9 -1.</_>
-        <_>
-          5 3 5 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 4 1 -1.</_>
-        <_>
-          10 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 4 1 -1.</_>
-        <_>
-          6 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 1 4 -1.</_>
-        <_>
-          14 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 3 -1.</_>
-        <_>
-          8 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 3 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 8 4 -1.</_>
-        <_>
-          14 6 4 2 2.</_>
-        <_>
-          10 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 8 4 -1.</_>
-        <_>
-          0 6 4 2 2.</_>
-        <_>
-          4 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 8 2 -1.</_>
-        <_>
-          11 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 8 2 -1.</_>
-        <_>
-          3 9 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 1 -1.</_>
-        <_>
-          5 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 3 2 -1.</_>
-        <_>
-          4 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 2 -1.</_>
-        <_>
-          14 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 2 -1.</_>
-        <_>
-          2 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 2 -1.</_>
-        <_>
-          14 0 4 1 2.</_>
-        <_>
-          10 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 1 3 -1.</_>
-        <_>
-          6 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 2 -1.</_>
-        <_>
-          14 0 3 1 2.</_>
-        <_>
-          11 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 8 2 -1.</_>
-        <_>
-          0 0 4 1 2.</_>
-        <_>
-          4 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 3 -1.</_>
-        <_>
-          17 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 10 12 -1.</_>
-        <_>
-          5 0 5 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 9 1 2 -1.</_>
-        <_>
-          15 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 9 2 1 -1.</_>
-        <_>
-          3 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 8 3 3 -1.</_>
-        <_>
-          16 8 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 3 4 -1.</_>
-        <_>
-          1 8 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 12 6 -1.</_>
-        <_>
-          10 1 4 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 12 2 -1.</_>
-        <_>
-          3 2 6 1 2.</_>
-        <_>
-          9 3 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 4 -1.</_>
-        <_>
-          17 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 7 6 -1.</_>
-        <_>
-          0 4 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 6 -1.</_>
-        <_>
-          14 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 3 6 -1.</_>
-        <_>
-          3 5 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 3 -1.</_>
-        <_>
-          14 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 2 3 2 -1.</_>
-        <_>
-          3 3 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 10 4 -1.</_>
-        <_>
-          7 1 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 10 4 -1.</_>
-        <_>
-          6 1 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 11 -1.</_>
-        <_>
-          0 0 9 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 3 -1.</_>
-        <_>
-          9 3 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 2 -1.</_>
-        <_>
-          14 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 1 2 3 -1.</_>
-        <_>
-          4 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 4 -1.</_>
-        <_>
-          11 1 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 4 -1.</_>
-        <_>
-          5 4 1 2 2.</_>
-        <_>
-          6 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 4 3 -1.</_>
-        <_>
-          10 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 6 -1.</_>
-        <_>
-          3 3 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 3 -1.</_>
-        <_>
-          13 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 3 -1.</_>
-        <_>
-          5 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 1 -1.</_>
-        <_>
-          11 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 4 1 -1.</_>
-        <_>
-          5 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 1 2 -1.</_>
-        <_>
-          12 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 4 -1.</_>
-        <_>
-          4 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 1 -1.</_>
-        <_>
-          9 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 1 -1.</_>
-        <_>
-          7 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          9 7 1 1 2.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 4 -1.</_>
-        <_>
-          4 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 5 4 -1.</_>
-        <_>
-          12 6 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 3 -1.</_>
-        <_>
-          0 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 3 1 -1.</_>
-        <_>
-          6 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 1 -1.</_>
-        <_>
-          6 0 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          17 0 1 1 2.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 2 -1.</_>
-        <_>
-          0 0 1 1 2.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 9 -1.</_>
-        <_>
-          8 4 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 1 4 -1.</_>
-        <_>
-          13 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 3 4 1 -1.</_>
-        <_>
-          5 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 2 -1.</_>
-        <_>
-          1 0 1 1 2.</_>
-        <_>
-          2 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 1 -1.</_>
-        <_>
-          1 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 3 -1.</_>
-        <_>
-          9 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 1 3 -1.</_>
-        <_>
-          4 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 10 -1.</_>
-        <_>
-          14 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 10 -1.</_>
-        <_>
-          2 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 12 2 -1.</_>
-        <_>
-          6 6 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 2 2 -1.</_>
-        <_>
-          2 7 1 1 2.</_>
-        <_>
-          3 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 5 3 4 -1.</_>
-        <_>
-          15 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 3 4 -1.</_>
-        <_>
-          0 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 4 -1.</_>
-        <_>
-          12 5 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 4 -1.</_>
-        <_>
-          0 5 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 3 -1.</_>
-        <_>
-          10 2 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 2 3 -1.</_>
-        <_>
-          6 2 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 3 -1.</_>
-        <_>
-          9 6 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 6 3 -1.</_>
-        <_>
-          7 6 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 3 -1.</_>
-        <_>
-          9 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 12 9 -1.</_>
-        <_>
-          6 3 4 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 5 -1.</_>
-        <_>
-          16 7 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 3 -1.</_>
-        <_>
-          8 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 5 -1.</_>
-        <_>
-          16 7 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 3 5 -1.</_>
-        <_>
-          1 7 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 8 -1.</_>
-        <_>
-          11 1 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 4 -1.</_>
-        <_>
-          7 1 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 5 -1.</_>
-        <_>
-          12 4 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 1 -1.</_>
-        <_>
-          8 8 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 6 2 -1.</_>
-        <_>
-          11 7 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 2 2 -1.</_>
-        <_>
-          7 4 1 1 2.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          8 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 10 -1.</_>
-        <_>
-          11 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 10 1 -1.</_>
-        <_>
-          7 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 8 -1.</_>
-        <_>
-          12 0 1 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 8 -1.</_>
-        <_>
-          6 8 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 8 3 -1.</_>
-        <_>
-          5 5 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 5 8 -1.</_>
-        <_>
-          4 6 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 4 6 -1.</_>
-        <_>
-          13 9 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 4 6 -1.</_>
-        <_>
-          1 9 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 2 2 -1.</_>
-        <_>
-          15 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 2 2 -1.</_>
-        <_>
-          3 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 4 6 -1.</_>
-        <_>
-          0 4 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          14 7 1 1 2.</_>
-        <_>
-          13 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 2 1 -1.</_>
-        <_>
-          6 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 3 1 -1.</_>
-        <_>
-          11 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 3 1 -1.</_>
-        <_>
-          6 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 3 -1.</_>
-        <_>
-          11 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 2 -1.</_>
-        <_>
-          7 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 7 3 -1.</_>
-        <_>
-          6 9 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 1 3 -1.</_>
-        <_>
-          7 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 8 1 -1.</_>
-        <_>
-          5 9 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 8 2 -1.</_>
-        <_>
-          9 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 4 -1.</_>
-        <_>
-          16 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 6 2 -1.</_>
-        <_>
-          5 7 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 4 -1.</_>
-        <_>
-          16 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 4 -1.</_>
-        <_>
-          0 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 2 1 -1.</_>
-        <_>
-          16 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 1 2 -1.</_>
-        <_>
-          2 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 2 1 -1.</_>
-        <_>
-          6 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 2 -1.</_>
-        <_>
-          9 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 2 -1.</_>
-        <_>
-          9 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 10 4 -1.</_>
-        <_>
-          0 5 5 2 2.</_>
-        <_>
-          5 7 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 2 6 -1.</_>
-        <_>
-          13 5 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 2 6 -1.</_>
-        <_>
-          4 5 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          10 8 1 1 2.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          10 0 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 3 -1.</_>
-        <_>
-          14 7 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 2 -1.</_>
-        <_>
-          5 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 1 -1.</_>
-        <_>
-          13 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 2 3 -1.</_>
-        <_>
-          5 3 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 1 -1.</_>
-        <_>
-          13 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 3 1 -1.</_>
-        <_>
-          4 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 2 7 -1.</_>
-        <_>
-          12 3 1 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 9 3 -1.</_>
-        <_>
-          2 1 9 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 7 -1.</_>
-        <_>
-          10 0 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 4 7 -1.</_>
-        <_>
-          6 0 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 1 3 -1.</_>
-        <_>
-          8 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          10 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 4 3 -1.</_>
-        <_>
-          6 2 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 1 3 -1.</_>
-        <_>
-          9 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 2 2 -1.</_>
-        <_>
-          8 2 1 1 2.</_>
-        <_>
-          9 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 15 3 -1.</_>
-        <_>
-          8 1 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 3 -1.</_>
-        <_>
-          5 1 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 1 -1.</_>
-        <_>
-          16 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 1 2 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 3 -1.</_>
-        <_>
-          10 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 1 3 -1.</_>
-        <_>
-          7 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          11 9 1 1 2.</_>
-        <_>
-          10 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          11 9 1 1 2.</_>
-        <_>
-          10 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 2 -1.</_>
-        <_>
-          6 9 1 1 2.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 5 -1.</_>
-        <_>
-          12 4 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 2 -1.</_>
-        <_>
-          6 9 1 1 2.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          11 9 1 1 2.</_>
-        <_>
-          10 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 2 3 -1.</_>
-        <_>
-          3 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 9 2 2 -1.</_>
-        <_>
-          15 9 1 1 2.</_>
-        <_>
-          14 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 2 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 6 4 -1.</_>
-        <_>
-          12 1 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 1 -1.</_>
-        <_>
-          8 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 1 -1.</_>
-        <_>
-          16 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 1 -1.</_>
-        <_>
-          1 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 6 4 -1.</_>
-        <_>
-          12 1 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 6 4 -1.</_>
-        <_>
-          4 1 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 2 -1.</_>
-        <_>
-          17 3 1 1 2.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 8 3 -1.</_>
-        <_>
-          5 10 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 3 -1.</_>
-        <_>
-          9 10 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 7 4 -1.</_>
-        <_>
-          0 9 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 9 1 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 4 -1.</_>
-        <_>
-          17 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 4 -1.</_>
-        <_>
-          0 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 11 4 -1.</_>
-        <_>
-          4 3 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 10 2 -1.</_>
-        <_>
-          0 1 5 1 2.</_>
-        <_>
-          5 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          11 9 1 1 2.</_>
-        <_>
-          10 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 2 -1.</_>
-        <_>
-          6 9 1 1 2.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          11 9 1 1 2.</_>
-        <_>
-          10 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 2 -1.</_>
-        <_>
-          6 9 1 1 2.</_>
-        <_>
-          7 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 3 1 -1.</_>
-        <_>
-          9 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 1 3 -1.</_>
-        <_>
-          0 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 2 6 -1.</_>
-        <_>
-          14 4 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 2 6 -1.</_>
-        <_>
-          3 4 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 4 1 -1.</_>
-        <_>
-          11 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 1 4 -1.</_>
-        <_>
-          7 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 2 -1.</_>
-        <_>
-          9 2 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_>
-        <_>
-          15 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 2 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_>
-        <_>
-          2 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 2 2 -1.</_>
-        <_>
-          15 9 1 1 2.</_>
-        <_>
-          14 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 2 2 -1.</_>
-        <_>
-          2 9 1 1 2.</_>
-        <_>
-          3 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 3 3 -1.</_>
-        <_>
-          15 9 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 3 2 -1.</_>
-        <_>
-          0 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 1 3 -1.</_>
-        <_>
-          16 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 1 3 -1.</_>
-        <_>
-          1 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 3 -1.</_>
-        <_>
-          17 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 3 -1.</_>
-        <_>
-          0 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 3 5 -1.</_>
-        <_>
-          9 2 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 4 -1.</_>
-        <_>
-          8 1 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 9 3 3 -1.</_>
-        <_>
-          15 9 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 3 3 -1.</_>
-        <_>
-          2 9 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 16 1 -1.</_>
-        <_>
-          1 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 12 2 -1.</_>
-        <_>
-          3 10 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 16 2 -1.</_>
-        <_>
-          6 10 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 3 1 -1.</_>
-        <_>
-          2 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 4 2 -1.</_>
-        <_>
-          13 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 4 2 -1.</_>
-        <_>
-          3 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 14 2 -1.</_>
-        <_>
-          11 9 7 1 2.</_>
-        <_>
-          4 10 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 14 2 -1.</_>
-        <_>
-          0 9 7 1 2.</_>
-        <_>
-          7 10 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 7 4 -1.</_>
-        <_>
-          11 10 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 2 4 -1.</_>
-        <_>
-          0 10 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 8 4 -1.</_>
-        <_>
-          5 7 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 1 3 -1.</_>
-        <_>
-          4 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 8 1 3 -1.</_>
-        <_>
-          14 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 3 -1.</_>
-        <_>
-          6 9 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 8 3 -1.</_>
-        <_>
-          10 9 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 8 3 -1.</_>
-        <_>
-          0 9 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 6 3 -1.</_>
-        <_>
-          12 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 6 3 -1.</_>
-        <_>
-          0 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 3 -1.</_>
-        <_>
-          9 10 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 2 1 -1.</_>
-        <_>
-          6 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 3 3 -1.</_>
-        <_>
-          9 10 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 3 3 -1.</_>
-        <_>
-          8 10 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 3 1 -1.</_>
-        <_>
-          8 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 9 3 -1.</_>
-        <_>
-          12 4 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 6 3 -1.</_>
-        <_>
-          3 4 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 14 12 -1.</_>
-        <_>
-          4 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 12 -1.</_>
-        <_>
-          7 0 7 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 9 -1.</_>
-        <_>
-          6 0 8 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 9 3 -1.</_>
-        <_>
-          3 0 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 4 -1.</_>
-        <_>
-          8 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 10 4 -1.</_>
-        <_>
-          4 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 9 3 -1.</_>
-        <_>
-          12 4 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 9 3 -1.</_>
-        <_>
-          3 4 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 9 1 -1.</_>
-        <_>
-          12 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 9 1 -1.</_>
-        <_>
-          3 11 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 3 -1.</_>
-        <_>
-          17 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 16 1 -1.</_>
-        <_>
-          8 11 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 2 -1.</_>
-        <_>
-          8 0 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 3 -1.</_>
-        <_>
-          0 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 2 -1.</_>
-        <_>
-          1 0 1 1 2.</_>
-        <_>
-          2 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 14 2 -1.</_>
-        <_>
-          9 0 7 1 2.</_>
-        <_>
-          2 1 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 3 -1.</_>
-        <_>
-          5 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 3 -1.</_>
-        <_>
-          14 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 2 -1.</_>
-        <_>
-          4 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 1 -1.</_>
-        <_>
-          16 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 1 -1.</_>
-        <_>
-          1 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 5 -1.</_>
-        <_>
-          12 4 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 5 3 -1.</_>
-        <_>
-          6 4 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 6 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 6 9 -1.</_>
-        <_>
-          4 5 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 5 -1.</_>
-        <_>
-          12 0 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 7 -1.</_>
-        <_>
-          2 0 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 5 -1.</_>
-        <_>
-          12 0 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 5 4 -1.</_>
-        <_>
-          6 0 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 12 -1.</_>
-        <_>
-          9 0 9 6 2.</_>
-        <_>
-          0 6 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 1 -1.</_>
-        <_>
-          9 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 8 -1.</_>
-        <_>
-          9 0 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 4 -1.</_>
-        <_>
-          9 0 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 4 3 -1.</_>
-        <_>
-          14 4 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 1 -1.</_>
-        <_>
-          1 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 6 -1.</_>
-        <_>
-          10 0 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 3 -1.</_>
-        <_>
-          8 0 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          8 0 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 1 -1.</_>
-        <_>
-          2 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 3 -1.</_>
-        <_>
-          8 3 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 3 1 -1.</_>
-        <_>
-          3 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 11 6 1 -1.</_>
-        <_>
-          13 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 6 1 -1.</_>
-        <_>
-          3 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 1 4 -1.</_>
-        <_>
-          17 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 1 4 -1.</_>
-        <_>
-          0 5 1 2 2.</_></rects></_></features></cascade>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_righteye_alt.xml b/data/haarcascades/haarcascade_mcs_righteye_alt.xml
deleted file mode 100644
index 43245afc30..0000000000
--- a/data/haarcascades/haarcascade_mcs_righteye_alt.xml
+++ /dev/null
@@ -1,22351 +0,0 @@
-<?xml version="1.0"?>
-<!--
-18x12 Right eye (in the image) detector computed with 12000 positive samples
-2012-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 ? Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 ? Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor ? Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 ? License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@ARTICLE{Castrillon12-ciarp,
-					  author = {Modesto Castrill\'on and Daniel Hern\'andez and Javier Lorenzo},
-					  title = {Combining Face and Facial Feature Detectors for Face Detection Performance Improvement},
-					  journal = {Lecture Notes in Computer Science},
-					  year = {2012},
-					  volume = {7441},
-					  pages = {82-89},
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<classifier_OjoD_18_12_SIANIfacity type_id="opencv-haar-classifier">
-  <size>
-    18 12</size>
-  <stages>
-    <_>
-      <!-- stage 0 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 12 -1.</_>
-                <_>
-                  7 4 4 4 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6810832023620605e-001</threshold>
-            <left_val>8.3960670232772827e-001</left_val>
-            <right_val>-7.6481401920318604e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 8 -1.</_>
-                <_>
-                  0 8 18 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0721870660781860e-001</threshold>
-            <left_val>-7.1712601184844971e-001</left_val>
-            <right_val>5.2041262388229370e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 2 1 -1.</_>
-                <_>
-                  1 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3353710023220628e-005</threshold>
-            <left_val>4.7114491462707520e-001</left_val>
-            <right_val>-6.5355622768402100e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 5 8 -1.</_>
-                <_>
-                  12 6 5 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3509589433670044e-001</threshold>
-            <left_val>2.9115460813045502e-002</left_val>
-            <right_val>-3.3245581388473511e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 2 2 -1.</_>
-                <_>
-                  8 5 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0615929737687111e-002</threshold>
-            <left_val>6.8218058347702026e-001</left_val>
-            <right_val>-2.8196701407432556e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 2 5 -1.</_>
-                <_>
-                  14 0 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6026369091123343e-005</threshold>
-            <left_val>2.0233640074729919e-001</left_val>
-            <right_val>-1.3312029838562012e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 2 5 -1.</_>
-                <_>
-                  3 0 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.4764939957531169e-005</threshold>
-            <left_val>2.8388169407844543e-001</left_val>
-            <right_val>-4.7019150853157043e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 6 -1.</_>
-                <_>
-                  3 2 12 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1478319764137268e-001</threshold>
-            <left_val>-1.8182520568370819e-001</left_val>
-            <right_val>6.4350587129592896e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 11 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.4280993430875242e-005</threshold>
-            <left_val>-4.9766281247138977e-001</left_val>
-            <right_val>2.3925340175628662e-001</right_val></_></_></trees>
-      <stage_threshold>-1.8184880018234253e+000</stage_threshold>
-      <parent>-1</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 1 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 12 -1.</_>
-                <_>
-                  7 4 4 4 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0355957746505737e-001</threshold>
-            <left_val>8.0994802713394165e-001</left_val>
-            <right_val>-6.6400188207626343e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 8 -1.</_>
-                <_>
-                  0 8 18 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8693929314613342e-001</threshold>
-            <left_val>-6.3067370653152466e-001</left_val>
-            <right_val>5.7269209623336792e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 4 1 -1.</_>
-                <_>
-                  2 0 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2597850551828742e-005</threshold>
-            <left_val>3.1228521466255188e-001</left_val>
-            <right_val>-6.9640642404556274e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 10 6 -1.</_>
-                <_>
-                  4 4 10 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1617150157690048e-001</threshold>
-            <left_val>6.4757740497589111e-001</left_val>
-            <right_val>-2.8760230541229248e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3706079684197903e-002</threshold>
-            <left_val>-6.4052939414978027e-001</left_val>
-            <right_val>1.9451349973678589e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 6 4 2 -1.</_>
-                <_>
-                  8 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3996980153024197e-002</threshold>
-            <left_val>2.3904429376125336e-001</left_val>
-            <right_val>-1.2181480228900909e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 6 2 -1.</_>
-                <_>
-                  8 6 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3848619312047958e-002</threshold>
-            <left_val>4.1974571347236633e-001</left_val>
-            <right_val>-2.9327690601348877e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 1 2 -1.</_>
-                <_>
-                  15 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0047809054376557e-005</threshold>
-            <left_val>9.3466326594352722e-002</left_val>
-            <right_val>-8.5978589951992035e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 1 2 -1.</_>
-                <_>
-                  2 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.8869820602703840e-005</threshold>
-            <left_val>2.9515549540519714e-001</left_val>
-            <right_val>-3.6450791358947754e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.1548085436224937e-003</threshold>
-            <left_val>-7.9693388938903809e-001</left_val>
-            <right_val>1.1169960349798203e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.5567810088396072e-003</threshold>
-            <left_val>1.0915560275316238e-001</left_val>
-            <right_val>-7.6665240526199341e-001</right_val></_></_></trees>
-      <stage_threshold>-1.8897850513458252e+000</stage_threshold>
-      <parent>0</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 2 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 12 -1.</_>
-                <_>
-                  7 4 4 4 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.9526257514953613e-001</threshold>
-            <left_val>7.6672828197479248e-001</left_val>
-            <right_val>-5.7977437973022461e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 6 5 -1.</_>
-                <_>
-                  12 0 3 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7080819234251976e-002</threshold>
-            <left_val>2.3749460279941559e-001</left_val>
-            <right_val>-1.0151080042123795e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 4 -1.</_>
-                <_>
-                  9 3 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.8396757841110229e-002</threshold>
-            <left_val>6.1395412683486938e-001</left_val>
-            <right_val>-4.0397110581398010e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 12 4 -1.</_>
-                <_>
-                  10 0 4 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0759669840335846e-002</threshold>
-            <left_val>-1.5979920327663422e-001</left_val>
-            <right_val>2.1410289406776428e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 6 6 -1.</_>
-                <_>
-                  3 0 3 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8572969138622284e-002</threshold>
-            <left_val>4.6015259623527527e-001</left_val>
-            <right_val>-4.9520689249038696e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 18 6 -1.</_>
-                <_>
-                  0 9 18 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1635340005159378e-001</threshold>
-            <left_val>-6.0537588596343994e-001</left_val>
-            <right_val>2.3268540203571320e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 2 1 -1.</_>
-                <_>
-                  1 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0375100100645795e-004</threshold>
-            <left_val>-5.2447670698165894e-001</left_val>
-            <right_val>2.0643760263919830e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 10 8 2 -1.</_>
-                <_>
-                  10 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.9346808120608330e-003</threshold>
-            <left_val>-5.8789312839508057e-001</left_val>
-            <right_val>8.3713911473751068e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 4 2 -1.</_>
-                <_>
-                  7 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6315559670329094e-003</threshold>
-            <left_val>1.0943070054054260e-001</left_val>
-            <right_val>-7.9030650854110718e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 9 1 2 -1.</_>
-                <_>
-                  11 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.4884088933467865e-003</threshold>
-            <left_val>2.3464180529117584e-002</left_val>
-            <right_val>-4.6662831306457520e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 6 2 -1.</_>
-                <_>
-                  8 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5442529469728470e-002</threshold>
-            <left_val>4.1558659076690674e-001</left_val>
-            <right_val>-2.0745509862899780e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 9 1 2 -1.</_>
-                <_>
-                  11 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4391910284757614e-002</threshold>
-            <left_val>-5.1255929470062256e-001</left_val>
-            <right_val>4.2892999947071075e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 2 1 -1.</_>
-                <_>
-                  7 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.7105670198798180e-003</threshold>
-            <left_val>1.3508659601211548e-001</left_val>
-            <right_val>-6.7032521963119507e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 1 4 3 -1.</_>
-                <_>
-                  8 1 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0664899833500385e-002</threshold>
-            <left_val>-6.4452391862869263e-001</left_val>
-            <right_val>8.6801767349243164e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 3 3 -1.</_>
-                <_>
-                  0 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3130259700119495e-002</threshold>
-            <left_val>7.2303600609302521e-002</left_val>
-            <right_val>-7.2920471429824829e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 4 3 -1.</_>
-                <_>
-                  14 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1123689822852612e-002</threshold>
-            <left_val>-6.3051140308380127e-001</left_val>
-            <right_val>8.8690377771854401e-002</right_val></_></_></trees>
-      <stage_threshold>-1.7659480571746826e+000</stage_threshold>
-      <parent>1</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 3 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 12 9 -1.</_>
-                <_>
-                  7 4 4 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.8238849639892578e-001</threshold>
-            <left_val>6.7658770084381104e-001</left_val>
-            <right_val>-6.3496381044387817e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 16 8 -1.</_>
-                <_>
-                  1 8 16 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6105468869209290e-001</threshold>
-            <left_val>-4.7645848989486694e-001</left_val>
-            <right_val>4.3273618817329407e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 6 2 -1.</_>
-                <_>
-                  5 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.7622179836034775e-002</threshold>
-            <left_val>-2.5917899608612061e-001</left_val>
-            <right_val>6.6635400056838989e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 12 4 -1.</_>
-                <_>
-                  10 0 4 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3445660024881363e-002</threshold>
-            <left_val>-5.1630370318889618e-002</left_val>
-            <right_val>1.9169320166110992e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 4 6 -1.</_>
-                <_>
-                  2 0 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5409329906105995e-002</threshold>
-            <left_val>2.8438740968704224e-001</left_val>
-            <right_val>-4.7467359900474548e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 2 -1.</_>
-                <_>
-                  17 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.9044256785418838e-005</threshold>
-            <left_val>4.0987960994243622e-002</left_val>
-            <right_val>-8.7138727307319641e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1052149784518406e-004</threshold>
-            <left_val>2.7015548944473267e-001</left_val>
-            <right_val>-3.5196688771247864e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2914599627256393e-002</threshold>
-            <left_val>-5.8854997158050537e-001</left_val>
-            <right_val>1.4034299552440643e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 2 -1.</_>
-                <_>
-                  11 4 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.8064533174037933e-002</threshold>
-            <left_val>3.8482880592346191e-001</left_val>
-            <right_val>-1.9926619529724121e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 10 6 -1.</_>
-                <_>
-                  4 3 10 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3427540659904480e-001</threshold>
-            <left_val>5.3540730476379395e-001</left_val>
-            <right_val>-1.2980240583419800e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 9 4 -1.</_>
-                <_>
-                  5 0 3 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4653420075774193e-002</threshold>
-            <left_val>2.5729840993881226e-001</left_val>
-            <right_val>-2.6571980118751526e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 1 -1.</_>
-                <_>
-                  16 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2547649384941906e-004</threshold>
-            <left_val>7.7122293412685394e-002</left_val>
-            <right_val>-7.7603712677955627e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 1 -1.</_>
-                <_>
-                  1 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.8957793195731938e-005</threshold>
-            <left_val>1.8061220645904541e-001</left_val>
-            <right_val>-3.2629799842834473e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 1 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5391400083899498e-002</threshold>
-            <left_val>-4.6647891402244568e-001</left_val>
-            <right_val>2.8946319594979286e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 8 2 2 -1.</_>
-                <_>
-                  5 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4515600167214870e-002</threshold>
-            <left_val>-5.2544248104095459e-001</left_val>
-            <right_val>9.7634941339492798e-002</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 1 2 -1.</_>
-                <_>
-                  13 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.8836379796266556e-003</threshold>
-            <left_val>2.6379430666565895e-002</left_val>
-            <right_val>-5.2875238656997681e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 2 1 -1.</_>
-                <_>
-                  5 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.9651119839400053e-003</threshold>
-            <left_val>9.0258508920669556e-002</left_val>
-            <right_val>-5.3580790758132935e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 4 4 -1.</_>
-                <_>
-                  10 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8835909664630890e-002</threshold>
-            <left_val>3.1948068737983704e-001</left_val>
-            <right_val>-6.3316017389297485e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 1 3 -1.</_>
-                <_>
-                  2 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.3288138955831528e-003</threshold>
-            <left_val>-4.4683480262756348e-001</left_val>
-            <right_val>1.0952600091695786e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 14 8 -1.</_>
-                <_>
-                  2 2 14 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0221300274133682e-001</threshold>
-            <left_val>-1.0253670066595078e-001</left_val>
-            <right_val>4.8284870386123657e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 4 4 -1.</_>
-                <_>
-                  8 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.8491459824144840e-003</threshold>
-            <left_val>2.4407060444355011e-001</left_val>
-            <right_val>-1.7565080523490906e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 8 1 4 -1.</_>
-                <_>
-                  17 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0765879675745964e-003</threshold>
-            <left_val>-4.6912059187889099e-001</left_val>
-            <right_val>7.7857926487922668e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 1 3 -1.</_>
-                <_>
-                  3 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.3826521188020706e-003</threshold>
-            <left_val>6.5722987055778503e-002</left_val>
-            <right_val>-5.7086908817291260e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 1 -1.</_>
-                <_>
-                  16 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1709299869835377e-002</threshold>
-            <left_val>2.9651859775185585e-002</left_val>
-            <right_val>-4.4558471441268921e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 1 3 -1.</_>
-                <_>
-                  2 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.7532749120146036e-003</threshold>
-            <left_val>1.2010630220174789e-001</left_val>
-            <right_val>-3.4494531154632568e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 6 3 -1.</_>
-                <_>
-                  12 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9949299544095993e-002</threshold>
-            <left_val>-3.8329821079969406e-002</left_val>
-            <right_val>2.5580260157585144e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 6 3 -1.</_>
-                <_>
-                  4 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9659079611301422e-002</threshold>
-            <left_val>3.4948769211769104e-001</left_val>
-            <right_val>-1.0688430070877075e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 8 1 3 -1.</_>
-                <_>
-                  13 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.4384029507637024e-003</threshold>
-            <left_val>-4.4859799742698669e-001</left_val>
-            <right_val>6.0474641621112823e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 6 4 -1.</_>
-                <_>
-                  5 1 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2340411096811295e-002</threshold>
-            <left_val>4.6869951486587524e-001</left_val>
-            <right_val>-8.7362661957740784e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 10 1 2 -1.</_>
-                <_>
-                  10 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6322209557984024e-004</threshold>
-            <left_val>-1.5675650537014008e-001</left_val>
-            <right_val>1.1256299912929535e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 4 3 -1.</_>
-                <_>
-                  8 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0735830292105675e-002</threshold>
-            <left_val>5.0046779215335846e-002</left_val>
-            <right_val>-6.9020110368728638e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 14 4 -1.</_>
-                <_>
-                  2 1 14 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6855830103158951e-002</threshold>
-            <left_val>-1.3781370222568512e-001</left_val>
-            <right_val>2.5898760557174683e-001</right_val></_></_></trees>
-      <stage_threshold>-1.9269560575485229e+000</stage_threshold>
-      <parent>2</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 4 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 4 2 -1.</_>
-                <_>
-                  7 4 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.0210861712694168e-002</threshold>
-            <left_val>7.2760909795761108e-001</left_val>
-            <right_val>-4.8194059729576111e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 18 9 -1.</_>
-                <_>
-                  6 4 6 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.4253152608871460e-001</threshold>
-            <left_val>6.5825307369232178e-001</left_val>
-            <right_val>-3.3508211374282837e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 4 3 -1.</_>
-                <_>
-                  3 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7276130430400372e-003</threshold>
-            <left_val>4.6350660920143127e-001</left_val>
-            <right_val>-2.6712501049041748e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  0 4 18 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4221410751342773e-001</threshold>
-            <left_val>2.6187661290168762e-001</left_val>
-            <right_val>-4.4321650266647339e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 12 3 -1.</_>
-                <_>
-                  3 0 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6442220434546471e-002</threshold>
-            <left_val>2.5853350758552551e-001</left_val>
-            <right_val>-4.2997428774833679e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 9 1 2 -1.</_>
-                <_>
-                  10 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1211539822397754e-004</threshold>
-            <left_val>1.0946519672870636e-001</left_val>
-            <right_val>-2.2906930744647980e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 3 -1.</_>
-                <_>
-                  9 9 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.8475080877542496e-003</threshold>
-            <left_val>-6.3840919733047485e-001</left_val>
-            <right_val>1.2859229743480682e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 7 -1.</_>
-                <_>
-                  16 0 1 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1806540209800005e-003</threshold>
-            <left_val>1.5797249972820282e-001</left_val>
-            <right_val>-2.2806149721145630e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 2 -1.</_>
-                <_>
-                  1 0 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.6963173341937363e-005</threshold>
-            <left_val>1.7013229429721832e-001</left_val>
-            <right_val>-4.0136960148811340e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 3 -1.</_>
-                <_>
-                  12 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0161420330405235e-002</threshold>
-            <left_val>-1.2210579961538315e-001</left_val>
-            <right_val>4.2467159032821655e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 3 3 -1.</_>
-                <_>
-                  5 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1128029115498066e-003</threshold>
-            <left_val>3.7742561101913452e-001</left_val>
-            <right_val>-1.6708080470561981e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 8 2 2 -1.</_>
-                <_>
-                  14 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.5285046845674515e-003</threshold>
-            <left_val>5.7505119591951370e-002</left_val>
-            <right_val>-4.5794519782066345e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 4 -1.</_>
-                <_>
-                  5 3 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.5861488431692123e-002</threshold>
-            <left_val>-1.1722719669342041e-001</left_val>
-            <right_val>5.0423789024353027e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 2 1 -1.</_>
-                <_>
-                  15 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1980050243437290e-002</threshold>
-            <left_val>4.8618610948324203e-002</left_val>
-            <right_val>-4.2829948663711548e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 10 4 -1.</_>
-                <_>
-                  4 3 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5652940869331360e-002</threshold>
-            <left_val>4.4611850380897522e-001</left_val>
-            <right_val>-1.2824800610542297e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 1 -1.</_>
-                <_>
-                  16 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2624289840459824e-002</threshold>
-            <left_val>-4.7304341197013855e-001</left_val>
-            <right_val>3.3563230186700821e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 1 2 -1.</_>
-                <_>
-                  2 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.4819469116628170e-003</threshold>
-            <left_val>-4.9199560284614563e-001</left_val>
-            <right_val>1.0396429896354675e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 8 -1.</_>
-                <_>
-                  16 2 1 8 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8513869512826204e-003</threshold>
-            <left_val>1.3302020728588104e-001</left_val>
-            <right_val>-1.5856249630451202e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 5 -1.</_>
-                <_>
-                  1 3 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6580482050776482e-003</threshold>
-            <left_val>2.5680649280548096e-001</left_val>
-            <right_val>-2.1377700567245483e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 8 2 2 -1.</_>
-                <_>
-                  14 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.7151580899953842e-002</threshold>
-            <left_val>-4.8710969090461731e-001</left_val>
-            <right_val>3.2073508948087692e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 8 2 2 -1.</_>
-                <_>
-                  4 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.4631878845393658e-003</threshold>
-            <left_val>1.0160399973392487e-001</left_val>
-            <right_val>-5.0148272514343262e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 12 -1.</_>
-                <_>
-                  7 0 4 12 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.2112571001052856e-002</threshold>
-            <left_val>2.0617170631885529e-001</left_val>
-            <right_val>-2.4160179495811462e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 11 6 1 -1.</_>
-                <_>
-                  7 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3351120054721832e-002</threshold>
-            <left_val>-7.3643708229064941e-001</left_val>
-            <right_val>6.3407666981220245e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 6 -1.</_>
-                <_>
-                  4 2 10 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4642560482025146e-001</threshold>
-            <left_val>-1.0779049992561340e-001</left_val>
-            <right_val>4.4443801045417786e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 3 4 -1.</_>
-                <_>
-                  0 9 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0188819840550423e-002</threshold>
-            <left_val>-5.2276557683944702e-001</left_val>
-            <right_val>8.4325402975082397e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 11 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6951869474723935e-004</threshold>
-            <left_val>-4.0729030966758728e-001</left_val>
-            <right_val>1.0294459760189056e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 5 3 -1.</_>
-                <_>
-                  6 4 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.2296588420867920e-002</threshold>
-            <left_val>-8.3421789109706879e-002</left_val>
-            <right_val>4.9257528781890869e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 2 3 -1.</_>
-                <_>
-                  8 0 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.8663380593061447e-003</threshold>
-            <left_val>-5.9615707397460938e-001</left_val>
-            <right_val>7.2008118033409119e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 3 3 -1.</_>
-                <_>
-                  7 5 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.6932360604405403e-002</threshold>
-            <left_val>3.9307719469070435e-001</left_val>
-            <right_val>-9.4045691192150116e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 10 4 -1.</_>
-                <_>
-                  4 2 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2513670623302460e-002</threshold>
-            <left_val>4.0155789256095886e-001</left_val>
-            <right_val>-8.1126846373081207e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 3 3 -1.</_>
-                <_>
-                  8 0 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6395838037133217e-003</threshold>
-            <left_val>8.2285016775131226e-002</left_val>
-            <right_val>-4.2262369394302368e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 4 3 -1.</_>
-                <_>
-                  8 5 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.0715889781713486e-002</threshold>
-            <left_val>-3.0324889346957207e-002</left_val>
-            <right_val>5.8319318294525146e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 3 4 -1.</_>
-                <_>
-                  10 5 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4977410435676575e-002</threshold>
-            <left_val>2.2337380051612854e-001</left_val>
-            <right_val>-1.5484930574893951e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  8 0 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6284331232309341e-002</threshold>
-            <left_val>-7.2883737087249756e-001</left_val>
-            <right_val>4.9019519239664078e-002</right_val></_></_></trees>
-      <stage_threshold>-1.8730369806289673e+000</stage_threshold>
-      <parent>3</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 5 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 12 6 -1.</_>
-                <_>
-                  3 4 12 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4310139417648315e-001</threshold>
-            <left_val>5.9999501705169678e-001</left_val>
-            <right_val>-4.6854639053344727e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5538708567619324e-002</threshold>
-            <left_val>6.0437542200088501e-001</left_val>
-            <right_val>-3.2276171445846558e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 18 6 -1.</_>
-                <_>
-                  0 9 18 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0528450608253479e-001</threshold>
-            <left_val>-5.2343052625656128e-001</left_val>
-            <right_val>3.6189851164817810e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 2 -1.</_>
-                <_>
-                  14 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1236000136705115e-004</threshold>
-            <left_val>-7.1042299270629883e-002</left_val>
-            <right_val>5.5464118719100952e-002</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 15 4 -1.</_>
-                <_>
-                  5 0 5 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.6982686519622803e-002</threshold>
-            <left_val>2.1147069334983826e-001</left_val>
-            <right_val>-3.7349238991737366e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 18 6 -1.</_>
-                <_>
-                  9 6 9 3 2.</_>
-                <_>
-                  0 9 9 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.2605780065059662e-002</threshold>
-            <left_val>1.5919719636440277e-001</left_val>
-            <right_val>-4.6124869585037231e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 3 -1.</_>
-                <_>
-                  1 0 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1038989759981632e-004</threshold>
-            <left_val>1.4112940430641174e-001</left_val>
-            <right_val>-4.5499908924102783e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 6 6 -1.</_>
-                <_>
-                  8 5 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1507949978113174e-001</threshold>
-            <left_val>2.5770258903503418e-001</left_val>
-            <right_val>-2.6506200432777405e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 6 2 -1.</_>
-                <_>
-                  0 11 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3419501744210720e-003</threshold>
-            <left_val>-5.9668141603469849e-001</left_val>
-            <right_val>1.0230260342359543e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 10 4 2 -1.</_>
-                <_>
-                  9 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.3655629530549049e-003</threshold>
-            <left_val>-7.5729858875274658e-001</left_val>
-            <right_val>6.3309803605079651e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5698159113526344e-002</threshold>
-            <left_val>5.5984470993280411e-002</left_val>
-            <right_val>-7.6305878162384033e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 5 3 4 -1.</_>
-                <_>
-                  14 6 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4888670295476913e-002</threshold>
-            <left_val>1.4457429945468903e-001</left_val>
-            <right_val>-5.9155210852622986e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 6 6 2 -1.</_>
-                <_>
-                  3 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3309270143508911e-002</threshold>
-            <left_val>2.8473040461540222e-001</left_val>
-            <right_val>-1.7599380016326904e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 4 -1.</_>
-                <_>
-                  10 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2894039973616600e-002</threshold>
-            <left_val>5.7657320052385330e-002</left_val>
-            <right_val>-5.1801967620849609e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.8263791035860777e-005</threshold>
-            <left_val>1.6647399961948395e-001</left_val>
-            <right_val>-2.7714401483535767e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 8 6 -1.</_>
-                <_>
-                  5 3 8 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4141130447387695e-001</threshold>
-            <left_val>5.0337702035903931e-001</left_val>
-            <right_val>-9.7330093383789063e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 3 -1.</_>
-                <_>
-                  11 4 2 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.0793926715850830e-002</threshold>
-            <left_val>2.2329810261726379e-001</left_val>
-            <right_val>-1.8872700631618500e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 2 -1.</_>
-                <_>
-                  8 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.0439859516918659e-003</threshold>
-            <left_val>7.4497416615486145e-002</left_val>
-            <right_val>-5.1863551139831543e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 4 3 -1.</_>
-                <_>
-                  8 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.5664521902799606e-003</threshold>
-            <left_val>-5.3494322299957275e-001</left_val>
-            <right_val>6.5551057457923889e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 7 3 2 -1.</_>
-                <_>
-                  15 8 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2475060066208243e-004</threshold>
-            <left_val>-2.2479990124702454e-001</left_val>
-            <right_val>8.8108353316783905e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 2 7 -1.</_>
-                <_>
-                  1 5 1 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0743389837443829e-002</threshold>
-            <left_val>2.6506188511848450e-001</left_val>
-            <right_val>-1.3862170279026031e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 1 2 -1.</_>
-                <_>
-                  13 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.9530052132904530e-003</threshold>
-            <left_val>3.3702958375215530e-002</left_val>
-            <right_val>-4.7984018921852112e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 2 1 -1.</_>
-                <_>
-                  5 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.5777601450681686e-003</threshold>
-            <left_val>-4.4925630092620850e-001</left_val>
-            <right_val>8.1961393356323242e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 10 4 -1.</_>
-                <_>
-                  4 2 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6117959767580032e-002</threshold>
-            <left_val>4.0106239914894104e-001</left_val>
-            <right_val>-9.4889998435974121e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 3 -1.</_>
-                <_>
-                  6 3 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0786920338869095e-002</threshold>
-            <left_val>-8.4221139550209045e-002</left_val>
-            <right_val>4.5751860737800598e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 3 2 4 -1.</_>
-                <_>
-                  16 4 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0906560346484184e-002</threshold>
-            <left_val>3.6288078874349594e-002</left_val>
-            <right_val>-3.1307759881019592e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 1 2 -1.</_>
-                <_>
-                  4 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.7241609687916934e-005</threshold>
-            <left_val>-2.6226210594177246e-001</left_val>
-            <right_val>1.2772110104560852e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 3 2 4 -1.</_>
-                <_>
-                  16 4 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8342709168791771e-002</threshold>
-            <left_val>-3.8035660982131958e-001</left_val>
-            <right_val>2.0931210368871689e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 4 -1.</_>
-                <_>
-                  0 4 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4488579705357552e-002</threshold>
-            <left_val>-6.2516981363296509e-001</left_val>
-            <right_val>5.0568919628858566e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 2 1 8 -1.</_>
-                <_>
-                  17 4 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6086460798978806e-002</threshold>
-            <left_val>-2.5289660692214966e-001</left_val>
-            <right_val>2.2778680548071861e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 5 4 -1.</_>
-                <_>
-                  6 1 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4344440549612045e-002</threshold>
-            <left_val>-1.0455399751663208e-001</left_val>
-            <right_val>3.2213151454925537e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 2 1 8 -1.</_>
-                <_>
-                  17 4 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6739370301365852e-002</threshold>
-            <left_val>1.5031609684228897e-002</left_val>
-            <right_val>-2.3286940157413483e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 1 8 -1.</_>
-                <_>
-                  0 4 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.9860741496086121e-003</threshold>
-            <left_val>8.2456819713115692e-002</left_val>
-            <right_val>-4.0554359555244446e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 2 -1.</_>
-                <_>
-                  12 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.3432222232222557e-003</threshold>
-            <left_val>3.0635970830917358e-001</left_val>
-            <right_val>-5.6111559271812439e-002</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 4 -1.</_>
-                <_>
-                  4 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3267910107970238e-002</threshold>
-            <left_val>5.8571081608533859e-002</left_val>
-            <right_val>-5.6226778030395508e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 3 -1.</_>
-                <_>
-                  10 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8068808652460575e-003</threshold>
-            <left_val>-3.3495968580245972e-001</left_val>
-            <right_val>4.8010118305683136e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 3 2 -1.</_>
-                <_>
-                  5 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6056290157139301e-003</threshold>
-            <left_val>3.3558750152587891e-001</left_val>
-            <right_val>-1.0367739945650101e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 12 6 -1.</_>
-                <_>
-                  7 5 4 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5391300916671753e-002</threshold>
-            <left_val>1.3985100388526917e-001</left_val>
-            <right_val>-2.4411860108375549e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 7 3 -1.</_>
-                <_>
-                  5 1 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1272999942302704e-002</threshold>
-            <left_val>4.2635110020637512e-001</left_val>
-            <right_val>-6.7719720304012299e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 3 -1.</_>
-                <_>
-                  10 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.0648758187890053e-003</threshold>
-            <left_val>5.6782770901918411e-002</left_val>
-            <right_val>-1.8407820165157318e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 4 3 -1.</_>
-                <_>
-                  6 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1429510079324245e-002</threshold>
-            <left_val>5.1047790795564651e-002</left_val>
-            <right_val>-5.8645612001419067e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 6 3 -1.</_>
-                <_>
-                  14 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2818889692425728e-002</threshold>
-            <left_val>2.5195059180259705e-001</left_val>
-            <right_val>-1.7262229323387146e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 1 -1.</_>
-                <_>
-                  6 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5068391114473343e-003</threshold>
-            <left_val>3.4061318635940552e-001</left_val>
-            <right_val>-8.6949199438095093e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 1 2 -1.</_>
-                <_>
-                  12 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.4749757982790470e-003</threshold>
-            <left_val>2.3750610649585724e-002</left_val>
-            <right_val>-2.5926721096038818e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 6 3 -1.</_>
-                <_>
-                  6 4 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1854119598865509e-002</threshold>
-            <left_val>-9.0619556605815887e-002</left_val>
-            <right_val>2.9119190573692322e-001</right_val></_></_></trees>
-      <stage_threshold>-1.8880920410156250e+000</stage_threshold>
-      <parent>4</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 6 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 4 2 -1.</_>
-                <_>
-                  7 4 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.7739148139953613e-002</threshold>
-            <left_val>7.0311528444290161e-001</left_val>
-            <right_val>-4.0234449505805969e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 18 9 -1.</_>
-                <_>
-                  6 4 6 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.0938947200775146e-001</threshold>
-            <left_val>4.6052539348602295e-001</left_val>
-            <right_val>-4.0787270665168762e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 4 4 -1.</_>
-                <_>
-                  8 2 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9570919871330261e-001</threshold>
-            <left_val>6.3850008882582188e-003</left_val>
-            <right_val>-1.0483790283203125e+003</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 3 3 -1.</_>
-                <_>
-                  13 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.5437600240111351e-003</threshold>
-            <left_val>4.4707939028739929e-001</left_val>
-            <right_val>-2.0605599880218506e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 13 4 -1.</_>
-                <_>
-                  2 1 13 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1489699482917786e-001</threshold>
-            <left_val>8.0591542646288872e-003</left_val>
-            <right_val>-1.9253439941406250e+003</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 2 2 -1.</_>
-                <_>
-                  15 0 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2064840120729059e-004</threshold>
-            <left_val>-8.8089093565940857e-002</left_val>
-            <right_val>9.6394099295139313e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 1 -1.</_>
-                <_>
-                  1 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.2417707492131740e-005</threshold>
-            <left_val>1.6505399346351624e-001</left_val>
-            <right_val>-4.8010158538818359e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 6 1 -1.</_>
-                <_>
-                  13 6 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2108679860830307e-002</threshold>
-            <left_val>3.5905620455741882e-001</left_val>
-            <right_val>-1.1650399863719940e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 18 6 -1.</_>
-                <_>
-                  0 9 18 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0738140344619751e-001</threshold>
-            <left_val>-5.6591778993606567e-001</left_val>
-            <right_val>1.3803580403327942e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 6 2 -1.</_>
-                <_>
-                  10 5 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1975189447402954e-002</threshold>
-            <left_val>4.2953509092330933e-001</left_val>
-            <right_val>-1.5891620516777039e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 6 4 -1.</_>
-                <_>
-                  3 4 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1959870345890522e-002</threshold>
-            <left_val>2.9616978764533997e-001</left_val>
-            <right_val>-2.5460711121559143e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 1 2 -1.</_>
-                <_>
-                  16 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0528890723362565e-005</threshold>
-            <left_val>7.4505448341369629e-002</left_val>
-            <right_val>-6.9072231650352478e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 2 1 -1.</_>
-                <_>
-                  2 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.5102466982789338e-005</threshold>
-            <left_val>1.6419610381126404e-001</left_val>
-            <right_val>-3.6688721179962158e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 18 1 -1.</_>
-                <_>
-                  0 11 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8498729690909386e-002</threshold>
-            <left_val>1.2233109772205353e-001</left_val>
-            <right_val>-4.8675718903541565e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 11 4 1 -1.</_>
-                <_>
-                  9 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.7169570140540600e-003</threshold>
-            <left_val>6.4482487738132477e-002</left_val>
-            <right_val>-6.9540137052536011e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 4 6 -1.</_>
-                <_>
-                  8 5 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.1217319928109646e-003</threshold>
-            <left_val>2.0365479588508606e-001</left_val>
-            <right_val>-2.2741779685020447e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 1 -1.</_>
-                <_>
-                  8 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1075680231442675e-004</threshold>
-            <left_val>1.4500780403614044e-001</left_val>
-            <right_val>-3.4105348587036133e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 1 2 -1.</_>
-                <_>
-                  15 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1053880007239059e-004</threshold>
-            <left_val>-6.8307012319564819e-002</left_val>
-            <right_val>7.4650689959526062e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 1 2 -1.</_>
-                <_>
-                  2 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6507181297056377e-005</threshold>
-            <left_val>1.8268570303916931e-001</left_val>
-            <right_val>-2.7704128623008728e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 4 -1.</_>
-                <_>
-                  0 1 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3470049500465393e-002</threshold>
-            <left_val>-1.5655350685119629e-001</left_val>
-            <right_val>3.1936529278755188e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 14 3 -1.</_>
-                <_>
-                  2 3 14 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0096020773053169e-002</threshold>
-            <left_val>-1.5562969446182251e-001</left_val>
-            <right_val>3.1467041373252869e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 1 1 4 -1.</_>
-                <_>
-                  17 2 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.0277601480484009e-003</threshold>
-            <left_val>3.7986829876899719e-002</left_val>
-            <right_val>-3.0223649740219116e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 6 1 -1.</_>
-                <_>
-                  8 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.9380169734358788e-003</threshold>
-            <left_val>8.1531472504138947e-002</left_val>
-            <right_val>-5.6371027231216431e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 1 1 4 -1.</_>
-                <_>
-                  17 2 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7956028934568167e-003</threshold>
-            <left_val>-1.8539020419120789e-001</left_val>
-            <right_val>3.9439260959625244e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 6 -1.</_>
-                <_>
-                  0 2 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5885600820183754e-002</threshold>
-            <left_val>5.9267118573188782e-002</left_val>
-            <right_val>-7.1854251623153687e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 4 -1.</_>
-                <_>
-                  16 0 1 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.7774249911308289e-002</threshold>
-            <left_val>1.4310140162706375e-002</left_val>
-            <right_val>-5.0811702013015747e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 4 2 -1.</_>
-                <_>
-                  2 0 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5504850074648857e-002</threshold>
-            <left_val>8.0278262495994568e-002</left_val>
-            <right_val>-4.4908508658409119e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 2 8 -1.</_>
-                <_>
-                  15 4 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9444189965724945e-002</threshold>
-            <left_val>1.7838209867477417e-001</left_val>
-            <right_val>-1.8505999445915222e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 6 3 -1.</_>
-                <_>
-                  6 4 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8419150039553642e-002</threshold>
-            <left_val>-8.1356927752494812e-002</left_val>
-            <right_val>4.9391180276870728e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 8 6 -1.</_>
-                <_>
-                  5 3 8 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.3308592438697815e-002</threshold>
-            <left_val>3.3119910955429077e-001</left_val>
-            <right_val>-1.1275950074195862e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 3 -1.</_>
-                <_>
-                  5 1 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0398350432515144e-002</threshold>
-            <left_val>3.7371310591697693e-001</left_val>
-            <right_val>-1.0401429980993271e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 3 9 -1.</_>
-                <_>
-                  15 4 3 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4064489305019379e-001</threshold>
-            <left_val>8.4198080003261566e-003</left_val>
-            <right_val>-6.9457089900970459e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 3 9 -1.</_>
-                <_>
-                  0 4 3 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9191060215234756e-002</threshold>
-            <left_val>8.8749423623085022e-002</left_val>
-            <right_val>-4.0662020444869995e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 11 4 1 -1.</_>
-                <_>
-                  8 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9051079656928778e-003</threshold>
-            <left_val>-5.7998901605606079e-001</left_val>
-            <right_val>5.1149401813745499e-002</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 1 2 -1.</_>
-                <_>
-                  0 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0223320461809635e-003</threshold>
-            <left_val>-4.7456279397010803e-001</left_val>
-            <right_val>5.7810228317975998e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 3 -1.</_>
-                <_>
-                  12 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0939320139586926e-003</threshold>
-            <left_val>2.5586429238319397e-001</left_val>
-            <right_val>-5.9901829808950424e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 4 4 -1.</_>
-                <_>
-                  4 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.3198416978120804e-003</threshold>
-            <left_val>2.6578190922737122e-001</left_val>
-            <right_val>-1.1572790145874023e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 9 2 3 -1.</_>
-                <_>
-                  16 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8159309923648834e-003</threshold>
-            <left_val>-5.6447637081146240e-001</left_val>
-            <right_val>5.0173521041870117e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 2 3 -1.</_>
-                <_>
-                  0 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1840989813208580e-002</threshold>
-            <left_val>-7.6622551679611206e-001</left_val>
-            <right_val>3.0004199594259262e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4432789757847786e-002</threshold>
-            <left_val>1.5162460505962372e-001</left_val>
-            <right_val>-1.3350149989128113e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 9 4 -1.</_>
-                <_>
-                  5 0 3 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.0706225708127022e-003</threshold>
-            <left_val>1.2732319533824921e-001</left_val>
-            <right_val>-2.2091729938983917e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 3 -1.</_>
-                <_>
-                  9 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1658039875328541e-002</threshold>
-            <left_val>4.3274190276861191e-002</left_val>
-            <right_val>-5.2941519021987915e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 8 2 2 -1.</_>
-                <_>
-                  8 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9893579185009003e-002</threshold>
-            <left_val>-5.3083962202072144e-001</left_val>
-            <right_val>4.3910909444093704e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 1 2 -1.</_>
-                <_>
-                  14 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.7451149225234985e-003</threshold>
-            <left_val>2.1857760846614838e-002</left_val>
-            <right_val>-4.6655520796775818e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 2 1 -1.</_>
-                <_>
-                  4 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0237179958494380e-004</threshold>
-            <left_val>1.1223310232162476e-001</left_val>
-            <right_val>-2.4498760700225830e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.7937998771667480e-002</threshold>
-            <left_val>1.5558369457721710e-001</left_val>
-            <right_val>-2.5431839749217033e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 8 2 2 -1.</_>
-                <_>
-                  5 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2750740163028240e-002</threshold>
-            <left_val>-3.4159570932388306e-001</left_val>
-            <right_val>7.8362293541431427e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 2 -1.</_>
-                <_>
-                  16 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2596500164363533e-004</threshold>
-            <left_val>1.3888040184974670e-001</left_val>
-            <right_val>-1.7169789969921112e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 2 -1.</_>
-                <_>
-                  1 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.9405978061258793e-003</threshold>
-            <left_val>2.7017688751220703e-001</left_val>
-            <right_val>-9.4520643353462219e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 3 2 1 -1.</_>
-                <_>
-                  16 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8547599868034013e-005</threshold>
-            <left_val>6.3881427049636841e-002</left_val>
-            <right_val>-6.6255062818527222e-002</right_val></_></_></trees>
-      <stage_threshold>-1.8309839963912964e+000</stage_threshold>
-      <parent>5</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 7 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2969099916517735e-002</threshold>
-            <left_val>-4.2454311251640320e-001</left_val>
-            <right_val>6.9157850742340088e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 18 9 -1.</_>
-                <_>
-                  6 4 6 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0824010372161865e+000</threshold>
-            <left_val>6.2524372339248657e-001</left_val>
-            <right_val>-2.5212618708610535e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 10 3 -1.</_>
-                <_>
-                  6 4 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3240320384502411e-001</threshold>
-            <left_val>2.6453230530023575e-002</left_val>
-            <right_val>-1.4411560058593750e+003</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 2 3 5 -1.</_>
-                <_>
-                  11 3 1 5 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.4583930149674416e-002</threshold>
-            <left_val>1.5964910387992859e-001</left_val>
-            <right_val>-7.7864259481430054e-002</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 2 2 -1.</_>
-                <_>
-                  7 5 1 1 2.</_>
-                <_>
-                  8 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5321910399943590e-003</threshold>
-            <left_val>4.6771478652954102e-001</left_val>
-            <right_val>-1.8968330323696136e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 8 -1.</_>
-                <_>
-                  0 8 18 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3865550160408020e-001</threshold>
-            <left_val>-4.1563400626182556e-001</left_val>
-            <right_val>1.8573409318923950e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 6 4 -1.</_>
-                <_>
-                  3 0 3 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1326009184122086e-002</threshold>
-            <left_val>1.8573179841041565e-001</left_val>
-            <right_val>-3.5007140040397644e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 2 -1.</_>
-                <_>
-                  10 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4955209381878376e-003</threshold>
-            <left_val>3.5978358983993530e-001</left_val>
-            <right_val>-1.0183329880237579e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 2 -1.</_>
-                <_>
-                  7 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1344100348651409e-002</threshold>
-            <left_val>-9.0360596776008606e-002</left_val>
-            <right_val>5.8457189798355103e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 10 1 2 -1.</_>
-                <_>
-                  11 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.0495683252811432e-005</threshold>
-            <left_val>-2.5225359201431274e-001</left_val>
-            <right_val>1.3392220437526703e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 6 -1.</_>
-                <_>
-                  5 2 8 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.7168926596641541e-002</threshold>
-            <left_val>-1.5260620415210724e-001</left_val>
-            <right_val>3.4043470025062561e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 2 -1.</_>
-                <_>
-                  17 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.9228993349242955e-005</threshold>
-            <left_val>8.5841812193393707e-002</left_val>
-            <right_val>-5.2303139120340347e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1849910262972116e-003</threshold>
-            <left_val>7.4815556406974792e-002</left_val>
-            <right_val>-5.9763509035110474e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 1 2 -1.</_>
-                <_>
-                  13 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0754860006272793e-002</threshold>
-            <left_val>-3.8698300719261169e-001</left_val>
-            <right_val>3.2411929219961166e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 2 1 -1.</_>
-                <_>
-                  5 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0488190309843048e-004</threshold>
-            <left_val>1.3360279798507690e-001</left_val>
-            <right_val>-3.4231778979301453e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 1 3 6 -1.</_>
-                <_>
-                  12 2 1 6 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.4005950689315796e-002</threshold>
-            <left_val>2.1657359600067139e-001</left_val>
-            <right_val>-3.0087789520621300e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 1 6 3 -1.</_>
-                <_>
-                  6 2 6 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8531499430537224e-002</threshold>
-            <left_val>1.7578999698162079e-001</left_val>
-            <right_val>-2.3588539659976959e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 3 -1.</_>
-                <_>
-                  9 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0950122103095055e-003</threshold>
-            <left_val>-5.1968222856521606e-001</left_val>
-            <right_val>6.4523756504058838e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 10 2 1 -1.</_>
-                <_>
-                  5 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.8823191365227103e-005</threshold>
-            <left_val>1.9835579395294189e-001</left_val>
-            <right_val>-2.0098380744457245e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 8 2 -1.</_>
-                <_>
-                  5 5 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1061999723315239e-002</threshold>
-            <left_val>-8.2831703126430511e-002</left_val>
-            <right_val>4.1824889183044434e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 8 3 -1.</_>
-                <_>
-                  5 4 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6518259420990944e-002</threshold>
-            <left_val>-9.7873881459236145e-002</left_val>
-            <right_val>3.6431550979614258e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 2 -1.</_>
-                <_>
-                  16 4 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9625299610197544e-003</threshold>
-            <left_val>1.8844370543956757e-001</left_val>
-            <right_val>-1.6893580555915833e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.3389389067888260e-003</threshold>
-            <left_val>6.2860213220119476e-002</left_val>
-            <right_val>-5.6821030378341675e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 4 -1.</_>
-                <_>
-                  16 4 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2285309173166752e-003</threshold>
-            <left_val>1.2900340557098389e-001</left_val>
-            <right_val>-1.4946889877319336e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 6 1 -1.</_>
-                <_>
-                  8 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3029079884290695e-002</threshold>
-            <left_val>-7.4421662092208862e-001</left_val>
-            <right_val>4.5929558575153351e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 4 -1.</_>
-                <_>
-                  16 4 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1244779229164124e-002</threshold>
-            <left_val>-3.6576640605926514e-001</left_val>
-            <right_val>1.0424939915537834e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 4 -1.</_>
-                <_>
-                  1 4 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5967479236423969e-003</threshold>
-            <left_val>1.7677290737628937e-001</left_val>
-            <right_val>-1.8999819457530975e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 4 -1.</_>
-                <_>
-                  12 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.0737788230180740e-003</threshold>
-            <left_val>-3.2994970679283142e-001</left_val>
-            <right_val>6.1676099896430969e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 3 3 -1.</_>
-                <_>
-                  0 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6974760219454765e-002</threshold>
-            <left_val>-7.1400022506713867e-001</left_val>
-            <right_val>4.0978480130434036e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 3 -1.</_>
-                <_>
-                  3 1 12 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0088389515876770e-002</threshold>
-            <left_val>-1.2316899746656418e-001</left_val>
-            <right_val>2.6806059479713440e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 12 3 -1.</_>
-                <_>
-                  3 3 12 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1707860752940178e-002</threshold>
-            <left_val>-1.2791140377521515e-001</left_val>
-            <right_val>2.8688108921051025e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 4 3 4 -1.</_>
-                <_>
-                  15 5 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4121609739959240e-002</threshold>
-            <left_val>3.0740590766072273e-002</left_val>
-            <right_val>-3.4621009230613708e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 4 -1.</_>
-                <_>
-                  0 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3910040259361267e-002</threshold>
-            <left_val>-5.6334692239761353e-001</left_val>
-            <right_val>5.4368961602449417e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 4 -1.</_>
-                <_>
-                  12 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3910540379583836e-002</threshold>
-            <left_val>3.5999219864606857e-002</left_val>
-            <right_val>-3.7284949421882629e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 8 3 -1.</_>
-                <_>
-                  6 1 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9868760183453560e-003</threshold>
-            <left_val>1.5719449520111084e-001</left_val>
-            <right_val>-1.8703240156173706e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 6 6 -1.</_>
-                <_>
-                  12 8 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0331939905881882e-001</threshold>
-            <left_val>2.4535490199923515e-002</left_val>
-            <right_val>-5.5506777763366699e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 6 6 -1.</_>
-                <_>
-                  0 8 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.4182611405849457e-002</threshold>
-            <left_val>-4.5211860537528992e-001</left_val>
-            <right_val>5.8777388185262680e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 9 2 2 -1.</_>
-                <_>
-                  16 10 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7721941005438566e-003</threshold>
-            <left_val>-4.3239548802375793e-001</left_val>
-            <right_val>4.4798858463764191e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 6 1 -1.</_>
-                <_>
-                  10 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.7594869956374168e-002</threshold>
-            <left_val>1.6330890357494354e-001</left_val>
-            <right_val>-1.6784989833831787e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 9 2 2 -1.</_>
-                <_>
-                  16 10 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5242209658026695e-002</threshold>
-            <left_val>2.7706470340490341e-002</left_val>
-            <right_val>-6.2536621093750000e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 2 2 -1.</_>
-                <_>
-                  0 10 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6314980350434780e-003</threshold>
-            <left_val>-4.2216229438781738e-001</left_val>
-            <right_val>6.5155752003192902e-002</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 4 -1.</_>
-                <_>
-                  7 3 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3606320843100548e-002</threshold>
-            <left_val>3.3093869686126709e-001</left_val>
-            <right_val>-8.2543507218360901e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 4 3 -1.</_>
-                <_>
-                  7 5 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.0896769613027573e-002</threshold>
-            <left_val>4.7317719459533691e-001</left_val>
-            <right_val>-5.4770849645137787e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 2 -1.</_>
-                <_>
-                  12 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1066540144383907e-002</threshold>
-            <left_val>-6.1698198318481445e-002</left_val>
-            <right_val>3.9080050587654114e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 3 3 -1.</_>
-                <_>
-                  6 7 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.5964860580861568e-004</threshold>
-            <left_val>1.7784999310970306e-001</left_val>
-            <right_val>-1.5802909433841705e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 7 3 2 -1.</_>
-                <_>
-                  15 7 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0035860352218151e-002</threshold>
-            <left_val>3.2939091324806213e-002</left_val>
-            <right_val>-3.5791549086570740e-001</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 7 2 3 -1.</_>
-                <_>
-                  3 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.1251719444990158e-002</threshold>
-            <left_val>-4.0622410178184509e-001</left_val>
-            <right_val>5.7364061474800110e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 1 2 -1.</_>
-                <_>
-                  16 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6790026873350143e-005</threshold>
-            <left_val>5.5528908967971802e-002</left_val>
-            <right_val>-6.0613408684730530e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  4 6 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0986420568078756e-003</threshold>
-            <left_val>8.7490037083625793e-002</left_val>
-            <right_val>-2.5980108976364136e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 8 2 1 -1.</_>
-                <_>
-                  15 8 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5904919710010290e-003</threshold>
-            <left_val>9.1209657490253448e-002</left_val>
-            <right_val>-1.8434490263462067e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 1 2 -1.</_>
-                <_>
-                  3 8 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.8348378837108612e-003</threshold>
-            <left_val>-7.5825102627277374e-002</left_val>
-            <right_val>3.1011909246444702e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 11 14 1 -1.</_>
-                <_>
-                  4 11 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2976410835981369e-002</threshold>
-            <left_val>2.2894360125064850e-002</left_val>
-            <right_val>-3.6694788932800293e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 16 1 -1.</_>
-                <_>
-                  8 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2993461489677429e-002</threshold>
-            <left_val>4.8855211585760117e-002</left_val>
-            <right_val>-4.9654829502105713e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 1 -1.</_>
-                <_>
-                  16 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1254799755988643e-004</threshold>
-            <left_val>-6.4805597066879272e-002</left_val>
-            <right_val>7.7355362474918365e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 2 1 -1.</_>
-                <_>
-                  1 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5766988730756566e-005</threshold>
-            <left_val>1.0217899829149246e-001</left_val>
-            <right_val>-2.4918699264526367e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 1 -1.</_>
-                <_>
-                  16 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.2803260236978531e-002</threshold>
-            <left_val>2.1008219569921494e-002</left_val>
-            <right_val>-4.8412579298019409e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 1 2 -1.</_>
-                <_>
-                  2 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.2998609133064747e-003</threshold>
-            <left_val>-2.8178960084915161e-001</left_val>
-            <right_val>8.6436942219734192e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 3 -1.</_>
-                <_>
-                  9 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.0341289974749088e-003</threshold>
-            <left_val>4.7605708241462708e-002</left_val>
-            <right_val>-3.1112289428710938e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 2 2 -1.</_>
-                <_>
-                  4 5 1 1 2.</_>
-                <_>
-                  5 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0176310315728188e-003</threshold>
-            <left_val>2.3361669480800629e-001</left_val>
-            <right_val>-9.6844062209129333e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 6 3 -1.</_>
-                <_>
-                  9 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2555380351841450e-002</threshold>
-            <left_val>6.3771553337574005e-002</left_val>
-            <right_val>-3.2026350498199463e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 12 6 -1.</_>
-                <_>
-                  2 5 6 3 2.</_>
-                <_>
-                  8 8 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4610219746828079e-002</threshold>
-            <left_val>-1.7586620151996613e-001</left_val>
-            <right_val>1.1790910363197327e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 6 4 -1.</_>
-                <_>
-                  14 5 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8952880054712296e-002</threshold>
-            <left_val>1.6201509535312653e-001</left_val>
-            <right_val>-9.1056473553180695e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 6 4 -1.</_>
-                <_>
-                  2 5 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7667450010776520e-002</threshold>
-            <left_val>1.7925499379634857e-001</left_val>
-            <right_val>-1.3047270476818085e-001</right_val></_></_></trees>
-      <stage_threshold>-1.7924000024795532e+000</stage_threshold>
-      <parent>6</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 8 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 6 2 -1.</_>
-                <_>
-                  8 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9953019917011261e-002</threshold>
-            <left_val>4.6304538846015930e-001</left_val>
-            <right_val>-5.4309362173080444e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 11 6 -1.</_>
-                <_>
-                  6 7 11 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4101259410381317e-001</threshold>
-            <left_val>-4.3483141064643860e-001</left_val>
-            <right_val>2.3144249618053436e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 3 4 -1.</_>
-                <_>
-                  4 5 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8832230493426323e-003</threshold>
-            <left_val>3.5248211026191711e-001</left_val>
-            <right_val>-3.3487960696220398e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 11 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.5682440288364887e-003</threshold>
-            <left_val>-5.0852102041244507e-001</left_val>
-            <right_val>2.4366380274295807e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 7 10 2 -1.</_>
-                <_>
-                  1 8 10 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7619030177593231e-001</threshold>
-            <left_val>-4.3959591537714005e-002</left_val>
-            <right_val>-2.1098750000000000e+003</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 4 -1.</_>
-                <_>
-                  16 0 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1687010303139687e-003</threshold>
-            <left_val>-1.0676959902048111e-001</left_val>
-            <right_val>1.9657030701637268e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 5 -1.</_>
-                <_>
-                  1 0 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4930729996412992e-003</threshold>
-            <left_val>1.5274609625339508e-001</left_val>
-            <right_val>-4.5544859766960144e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  6 4 6 4 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3881989717483521e+000</threshold>
-            <left_val>3.6814248561859131e-001</left_val>
-            <right_val>-2.1648240089416504e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2570229591801763e-004</threshold>
-            <left_val>1.6871599853038788e-001</left_val>
-            <right_val>-3.3025780320167542e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 2 -1.</_>
-                <_>
-                  4 1 10 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0360499620437622e-002</threshold>
-            <left_val>-1.0959889739751816e-001</left_val>
-            <right_val>4.3592530488967896e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  7 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.7699557878077030e-003</threshold>
-            <left_val>3.7267988920211792e-001</left_val>
-            <right_val>-1.1310379952192307e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 9 4 -1.</_>
-                <_>
-                  10 0 3 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.6438332200050354e-002</threshold>
-            <left_val>-5.0932061672210693e-001</left_val>
-            <right_val>3.8267329335212708e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 1 -1.</_>
-                <_>
-                  6 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3943830747157335e-003</threshold>
-            <left_val>3.7487560510635376e-001</left_val>
-            <right_val>-1.1466500163078308e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 3 -1.</_>
-                <_>
-                  12 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9620539620518684e-002</threshold>
-            <left_val>-6.1430118978023529e-002</left_val>
-            <right_val>4.3453490734100342e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 3 3 -1.</_>
-                <_>
-                  5 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5895970650017262e-003</threshold>
-            <left_val>2.9000890254974365e-001</left_val>
-            <right_val>-1.4118500053882599e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 4 3 -1.</_>
-                <_>
-                  11 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4298349618911743e-002</threshold>
-            <left_val>4.3023601174354553e-002</left_val>
-            <right_val>-5.9506058692932129e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 3 -1.</_>
-                <_>
-                  5 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.2771573215723038e-003</threshold>
-            <left_val>5.7618878781795502e-002</left_val>
-            <right_val>-6.0915398597717285e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 2 -1.</_>
-                <_>
-                  13 6 1 1 2.</_>
-                <_>
-                  12 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4311929009854794e-003</threshold>
-            <left_val>2.6851660013198853e-001</left_val>
-            <right_val>-7.8011967241764069e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 1 3 -1.</_>
-                <_>
-                  2 2 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1357249692082405e-002</threshold>
-            <left_val>-5.7373368740081787e-001</left_val>
-            <right_val>6.1811648309230804e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  6 1 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0995700731873512e-002</threshold>
-            <left_val>3.7857949733734131e-001</left_val>
-            <right_val>-9.0212509036064148e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 5 -1.</_>
-                <_>
-                  5 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9253190606832504e-002</threshold>
-            <left_val>-6.1270111799240112e-001</left_val>
-            <right_val>5.8162990957498550e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 8 2 2 -1.</_>
-                <_>
-                  13 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5958230253309011e-003</threshold>
-            <left_val>8.5419252514839172e-002</left_val>
-            <right_val>-1.5067149698734283e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 8 2 2 -1.</_>
-                <_>
-                  5 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7749400809407234e-002</threshold>
-            <left_val>-5.6233870983123779e-001</left_val>
-            <right_val>5.8707099407911301e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 6 3 -1.</_>
-                <_>
-                  14 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0752850733697414e-003</threshold>
-            <left_val>1.8340730667114258e-001</left_val>
-            <right_val>-2.0476980507373810e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 4 5 -1.</_>
-                <_>
-                  2 4 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.4588937461376190e-003</threshold>
-            <left_val>2.5018799304962158e-001</left_val>
-            <right_val>-1.4016430079936981e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 1 8 -1.</_>
-                <_>
-                  9 3 1 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.0339421033859253e-003</threshold>
-            <left_val>1.7297219485044479e-002</left_val>
-            <right_val>-1.0938909649848938e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 1 2 -1.</_>
-                <_>
-                  3 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.7690055370330811e-003</threshold>
-            <left_val>-5.3809267282485962e-001</left_val>
-            <right_val>5.5717989802360535e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 8 -1.</_>
-                <_>
-                  6 2 6 8 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0211340487003326e-001</threshold>
-            <left_val>1.4996449649333954e-001</left_val>
-            <right_val>-1.9804969429969788e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 6 2 -1.</_>
-                <_>
-                  3 10 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.2534068971872330e-003</threshold>
-            <left_val>-1.2579849362373352e-001</left_val>
-            <right_val>2.6560428738594055e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 6 2 -1.</_>
-                <_>
-                  8 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9985489547252655e-002</threshold>
-            <left_val>-2.0184940099716187e-001</left_val>
-            <right_val>1.4270460605621338e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 6 4 -1.</_>
-                <_>
-                  5 3 3 2 2.</_>
-                <_>
-                  8 5 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4325458370149136e-003</threshold>
-            <left_val>1.4902539551258087e-001</left_val>
-            <right_val>-2.2481849789619446e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 2 1 -1.</_>
-                <_>
-                  15 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2979759776499122e-004</threshold>
-            <left_val>7.9636313021183014e-002</left_val>
-            <right_val>-6.8467393517494202e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 4 9 -1.</_>
-                <_>
-                  0 5 4 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.4666491709649563e-003</threshold>
-            <left_val>9.1552861034870148e-002</left_val>
-            <right_val>-3.0332839488983154e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 10 4 -1.</_>
-                <_>
-                  4 3 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.8323269933462143e-002</threshold>
-            <left_val>3.1203231215476990e-001</left_val>
-            <right_val>-9.4739243388175964e-002</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 2 1 -1.</_>
-                <_>
-                  2 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0795370326377451e-004</threshold>
-            <left_val>1.1953579634428024e-001</left_val>
-            <right_val>-2.3774090409278870e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 3 -1.</_>
-                <_>
-                  6 2 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1394219249486923e-002</threshold>
-            <left_val>3.8132411241531372e-001</left_val>
-            <right_val>-6.8722970783710480e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 6 3 -1.</_>
-                <_>
-                  7 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6666570454835892e-002</threshold>
-            <left_val>-5.3747171163558960e-001</left_val>
-            <right_val>5.0780180841684341e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 8 1 3 -1.</_>
-                <_>
-                  12 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6129670664668083e-002</threshold>
-            <left_val>-5.7956278324127197e-001</left_val>
-            <right_val>7.9791489988565445e-003</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  0 0 9 6 2.</_>
-                <_>
-                  9 6 9 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9990308880805969e-001</threshold>
-            <left_val>3.5521049052476883e-002</left_val>
-            <right_val>-6.6213911771774292e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 6 -1.</_>
-                <_>
-                  14 7 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8418158441781998e-002</threshold>
-            <left_val>2.0374530926346779e-002</left_val>
-            <right_val>-3.9533859491348267e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 3 -1.</_>
-                <_>
-                  11 4 2 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.9553457200527191e-002</threshold>
-            <left_val>1.5149369835853577e-001</left_val>
-            <right_val>-1.7391009628772736e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 4 6 -1.</_>
-                <_>
-                  14 8 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.5673670507967472e-003</threshold>
-            <left_val>-1.0654059797525406e-001</left_val>
-            <right_val>1.0897749662399292e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 4 6 -1.</_>
-                <_>
-                  0 8 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.7387808561325073e-002</threshold>
-            <left_val>4.9468740820884705e-002</left_val>
-            <right_val>-5.5027878284454346e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 3 4 4 -1.</_>
-                <_>
-                  14 4 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7050791084766388e-002</threshold>
-            <left_val>-3.8515409827232361e-001</left_val>
-            <right_val>2.2248979657888412e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 4 4 -1.</_>
-                <_>
-                  0 4 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0018899589776993e-002</threshold>
-            <left_val>-6.4674687385559082e-001</left_val>
-            <right_val>3.3203490078449249e-002</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 4 4 -1.</_>
-                <_>
-                  11 4 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5431820414960384e-002</threshold>
-            <left_val>-4.4999931007623672e-002</left_val>
-            <right_val>2.4443189799785614e-001</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 3 6 4 -1.</_>
-                <_>
-                  2 4 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.2180695608258247e-003</threshold>
-            <left_val>1.5854990482330322e-001</left_val>
-            <right_val>-1.9471940398216248e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 5 3 3 -1.</_>
-                <_>
-                  14 6 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.0984179824590683e-002</threshold>
-            <left_val>-3.4700211137533188e-002</left_val>
-            <right_val>3.3703771233558655e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 3 3 -1.</_>
-                <_>
-                  4 6 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.5833184421062469e-003</threshold>
-            <left_val>1.9440969824790955e-001</left_val>
-            <right_val>-1.2268470227718353e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 4 4 -1.</_>
-                <_>
-                  10 1 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5410390943288803e-002</threshold>
-            <left_val>-8.1189441680908203e-001</left_val>
-            <right_val>8.0366088077425957e-003</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 4 2 -1.</_>
-                <_>
-                  5 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0532200410962105e-003</threshold>
-            <left_val>-5.5083888769149780e-001</left_val>
-            <right_val>4.0210179984569550e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 3 3 -1.</_>
-                <_>
-                  16 7 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1325759813189507e-002</threshold>
-            <left_val>9.9898673593997955e-002</left_val>
-            <right_val>-3.9981659501791000e-002</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 4 4 -1.</_>
-                <_>
-                  6 1 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7502499744296074e-002</threshold>
-            <left_val>-5.0785058736801147e-001</left_val>
-            <right_val>4.4904891401529312e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 3 3 -1.</_>
-                <_>
-                  16 7 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.0354807861149311e-003</threshold>
-            <left_val>-7.3971033096313477e-002</left_val>
-            <right_val>8.6997002363204956e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 3 3 -1.</_>
-                <_>
-                  2 7 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9440140575170517e-002</threshold>
-            <left_val>3.5637879371643066e-001</left_val>
-            <right_val>-6.4185008406639099e-002</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 6 2 4 -1.</_>
-                <_>
-                  13 6 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.4901369363069534e-002</threshold>
-            <left_val>1.3781890273094177e-002</left_val>
-            <right_val>-3.0902290344238281e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.0566188991069794e-002</threshold>
-            <left_val>-3.5108640789985657e-001</left_val>
-            <right_val>6.5844587981700897e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 1 9 3 -1.</_>
-                <_>
-                  10 1 3 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4756169915199280e-001</threshold>
-            <left_val>-6.8759101629257202e-001</left_val>
-            <right_val>4.7263758460758254e-005</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 9 3 -1.</_>
-                <_>
-                  5 1 3 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0150520130991936e-002</threshold>
-            <left_val>1.2052480131387711e-001</left_val>
-            <right_val>-1.7938989400863647e-001</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 5 -1.</_>
-                <_>
-                  12 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2828230634331703e-002</threshold>
-            <left_val>-4.8896029591560364e-001</left_val>
-            <right_val>1.8085980787873268e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 3 3 -1.</_>
-                <_>
-                  6 6 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8258199095726013e-002</threshold>
-            <left_val>3.4773400425910950e-001</left_val>
-            <right_val>-6.3224472105503082e-002</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 5 -1.</_>
-                <_>
-                  12 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3490609824657440e-002</threshold>
-            <left_val>2.3697679862380028e-002</left_val>
-            <right_val>-1.3777829706668854e-001</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 5 -1.</_>
-                <_>
-                  4 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6170579940080643e-002</threshold>
-            <left_val>-4.2869010567665100e-001</left_val>
-            <right_val>5.1102340221405029e-002</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 3 -1.</_>
-                <_>
-                  6 3 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8929179757833481e-002</threshold>
-            <left_val>2.6792019605636597e-001</left_val>
-            <right_val>-7.7223733067512512e-002</right_val></_></_></trees>
-      <stage_threshold>-1.7122819423675537e+000</stage_threshold>
-      <parent>7</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 9 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 6 2 -1.</_>
-                <_>
-                  7 4 6 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.6362848728895187e-002</threshold>
-            <left_val>6.2295049428939819e-001</left_val>
-            <right_val>-3.9318370819091797e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 12 3 -1.</_>
-                <_>
-                  10 0 4 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9950939342379570e-002</threshold>
-            <left_val>-1.4530490338802338e-001</left_val>
-            <right_val>2.4978880584239960e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 6 1 -1.</_>
-                <_>
-                  9 3 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.6843659132719040e-002</threshold>
-            <left_val>3.9532458782196045e-001</left_val>
-            <right_val>-3.0981910228729248e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 2 -1.</_>
-                <_>
-                  14 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.4703789278864861e-003</threshold>
-            <left_val>-7.6643757522106171e-002</left_val>
-            <right_val>1.4895190298557281e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 6 2 -1.</_>
-                <_>
-                  3 0 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.1464528553187847e-003</threshold>
-            <left_val>1.8411460518836975e-001</left_val>
-            <right_val>-4.8829838633537292e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 12 2 -1.</_>
-                <_>
-                  3 11 12 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.1217881739139557e-003</threshold>
-            <left_val>-4.2313280701637268e-001</left_val>
-            <right_val>1.9597740471363068e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 3 16 2 -1.</_>
-                <_>
-                  1 4 16 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8062189221382141e-002</threshold>
-            <left_val>2.3335799574851990e-001</left_val>
-            <right_val>-2.9320231080055237e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 4 3 -1.</_>
-                <_>
-                  13 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3905011154711246e-003</threshold>
-            <left_val>3.0706161260604858e-001</left_val>
-            <right_val>-2.2423399984836578e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 2 1 -1.</_>
-                <_>
-                  1 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1563429870875552e-004</threshold>
-            <left_val>1.2549179792404175e-001</left_val>
-            <right_val>-3.5768839716911316e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 1 2 -1.</_>
-                <_>
-                  12 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2130189687013626e-002</threshold>
-            <left_val>-4.3862840533256531e-001</left_val>
-            <right_val>1.5064669772982597e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 3 1 -1.</_>
-                <_>
-                  9 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.5520379208028316e-003</threshold>
-            <left_val>1.7858989536762238e-001</left_val>
-            <right_val>-2.0970739424228668e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 3 2 -1.</_>
-                <_>
-                  15 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3341009393334389e-002</threshold>
-            <left_val>-4.7605940699577332e-001</left_val>
-            <right_val>2.9896590858697891e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 2 3 -1.</_>
-                <_>
-                  3 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0201729834079742e-002</threshold>
-            <left_val>7.7540546655654907e-002</left_val>
-            <right_val>-4.6611380577087402e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 6 2 -1.</_>
-                <_>
-                  13 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.7306690365076065e-002</threshold>
-            <left_val>-3.8885660469532013e-002</left_val>
-            <right_val>5.0057899951934814e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 6 6 2 -1.</_>
-                <_>
-                  3 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.2814108356833458e-003</threshold>
-            <left_val>2.0289039611816406e-001</left_val>
-            <right_val>-1.8781319260597229e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 1 2 -1.</_>
-                <_>
-                  12 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1665919795632362e-002</threshold>
-            <left_val>3.4593590535223484e-003</left_val>
-            <right_val>-6.7075312137603760e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 2 1 -1.</_>
-                <_>
-                  6 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1174700222909451e-002</threshold>
-            <left_val>-6.7676198482513428e-001</left_val>
-            <right_val>5.3503561764955521e-002</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 3 7 -1.</_>
-                <_>
-                  14 0 1 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0277540907263756e-002</threshold>
-            <left_val>-6.1764931678771973e-001</left_val>
-            <right_val>2.5672059506177902e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 3 7 -1.</_>
-                <_>
-                  3 0 1 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6489820331335068e-002</threshold>
-            <left_val>-6.5213251113891602e-001</left_val>
-            <right_val>4.6798661351203918e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 10 3 -1.</_>
-                <_>
-                  4 4 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6063250154256821e-002</threshold>
-            <left_val>-7.9508572816848755e-002</left_val>
-            <right_val>3.9742410182952881e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.8237631320953369e-002</threshold>
-            <left_val>-3.4497588872909546e-001</left_val>
-            <right_val>8.8161222636699677e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 9 2 3 -1.</_>
-                <_>
-                  16 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.8143024370074272e-003</threshold>
-            <left_val>3.8055408746004105e-002</left_val>
-            <right_val>-5.7297128438949585e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 18 6 -1.</_>
-                <_>
-                  0 5 9 3 2.</_>
-                <_>
-                  9 8 9 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0969569848384708e-004</threshold>
-            <left_val>-2.3766790330410004e-001</left_val>
-            <right_val>1.1281009763479233e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 1 5 9 -1.</_>
-                <_>
-                  13 4 5 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4720593392848969e-002</threshold>
-            <left_val>5.7318519800901413e-002</left_val>
-            <right_val>-8.4692500531673431e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 5 9 -1.</_>
-                <_>
-                  0 4 5 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.3549508601427078e-003</threshold>
-            <left_val>1.0101249814033508e-001</left_val>
-            <right_val>-3.0118590593338013e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 2 -1.</_>
-                <_>
-                  6 4 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4732283353805542e-002</threshold>
-            <left_val>1.3135200738906860e-001</left_val>
-            <right_val>-2.2299380600452423e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 2 -1.</_>
-                <_>
-                  6 3 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4942260459065437e-002</threshold>
-            <left_val>-7.4695453047752380e-002</left_val>
-            <right_val>4.2155799269676208e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 2 -1.</_>
-                <_>
-                  6 1 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.1112721711397171e-003</threshold>
-            <left_val>-1.0271769762039185e-001</left_val>
-            <right_val>2.9674398899078369e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 6 -1.</_>
-                <_>
-                  4 2 10 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0131099820137024e-001</threshold>
-            <left_val>4.0764111280441284e-001</left_val>
-            <right_val>-8.9215211570262909e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 2 -1.</_>
-                <_>
-                  16 0 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9525960087776184e-002</threshold>
-            <left_val>4.5859400182962418e-002</left_val>
-            <right_val>-5.3067690134048462e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 2 2 -1.</_>
-                <_>
-                  2 0 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6093149781227112e-002</threshold>
-            <left_val>-5.0799179077148438e-001</left_val>
-            <right_val>4.7188449651002884e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 11 2 1 -1.</_>
-                <_>
-                  10 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7084550131112337e-003</threshold>
-            <left_val>-5.4375791549682617e-001</left_val>
-            <right_val>1.7073409631848335e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 2 1 -1.</_>
-                <_>
-                  7 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0553289757808670e-004</threshold>
-            <left_val>1.6604019701480865e-001</left_val>
-            <right_val>-1.4265109598636627e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 4 -1.</_>
-                <_>
-                  11 5 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2228319197893143e-002</threshold>
-            <left_val>1.1051969975233078e-001</left_val>
-            <right_val>-6.7340642213821411e-002</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 2 2 -1.</_>
-                <_>
-                  1 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9571961387991905e-003</threshold>
-            <left_val>1.9017930328845978e-001</left_val>
-            <right_val>-1.2256579846143723e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 8 2 2 -1.</_>
-                <_>
-                  15 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.9267009813338518e-003</threshold>
-            <left_val>9.4764962792396545e-002</left_val>
-            <right_val>-1.8430569767951965e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 2 2 -1.</_>
-                <_>
-                  3 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.4974898919463158e-003</threshold>
-            <left_val>-9.1449737548828125e-002</left_val>
-            <right_val>3.5069960355758667e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 1 -1.</_>
-                <_>
-                  0 0 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8627950921654701e-002</threshold>
-            <left_val>2.3541490733623505e-001</left_val>
-            <right_val>-1.0408759862184525e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 2 2 -1.</_>
-                <_>
-                  2 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2022979557514191e-002</threshold>
-            <left_val>-3.8634741306304932e-001</left_val>
-            <right_val>6.5065048635005951e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 5 3 6 -1.</_>
-                <_>
-                  15 7 3 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6308001279830933e-002</threshold>
-            <left_val>1.1871179565787315e-002</left_val>
-            <right_val>-4.9800288677215576e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 3 6 -1.</_>
-                <_>
-                  0 7 3 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9565019309520721e-002</threshold>
-            <left_val>3.7156730890274048e-002</left_val>
-            <right_val>-6.4833837747573853e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 4 -1.</_>
-                <_>
-                  11 5 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.8078509494662285e-002</threshold>
-            <left_val>-2.1756550297141075e-002</left_val>
-            <right_val>2.5639408826828003e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 4 3 -1.</_>
-                <_>
-                  7 5 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.6927139163017273e-002</threshold>
-            <left_val>-5.3349718451499939e-002</left_val>
-            <right_val>4.3058720231056213e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 3 4 -1.</_>
-                <_>
-                  12 4 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5176439434289932e-002</threshold>
-            <left_val>9.7822599112987518e-002</left_val>
-            <right_val>-5.9893220663070679e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 1 3 -1.</_>
-                <_>
-                  6 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.8344141840934753e-003</threshold>
-            <left_val>5.6916769593954086e-002</left_val>
-            <right_val>-4.0340718626976013e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 3 2 1 -1.</_>
-                <_>
-                  13 3 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7008539289236069e-002</threshold>
-            <left_val>1.8180780112743378e-002</left_val>
-            <right_val>-5.2570241689682007e-001</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 1 2 -1.</_>
-                <_>
-                  5 3 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.2875955849885941e-003</threshold>
-            <left_val>-4.3682220578193665e-001</left_val>
-            <right_val>5.4094731807708740e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 3 4 -1.</_>
-                <_>
-                  12 4 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.8746491074562073e-002</threshold>
-            <left_val>-1.8321389332413673e-002</left_val>
-            <right_val>3.3403670787811279e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 4 2 -1.</_>
-                <_>
-                  7 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.2010462172329426e-003</threshold>
-            <left_val>-5.4613822698593140e-001</left_val>
-            <right_val>4.0649890899658203e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 3 4 -1.</_>
-                <_>
-                  12 4 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.9961467087268829e-002</threshold>
-            <left_val>-4.5017239451408386e-001</left_val>
-            <right_val>2.8199090156704187e-003</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 4 3 -1.</_>
-                <_>
-                  6 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5273600593209267e-002</threshold>
-            <left_val>2.8241640329360962e-001</left_val>
-            <right_val>-7.7918551862239838e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 4 3 -1.</_>
-                <_>
-                  12 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0812750086188316e-002</threshold>
-            <left_val>-6.5411068499088287e-002</left_val>
-            <right_val>1.8664279580116272e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 6 4 -1.</_>
-                <_>
-                  0 9 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.7010150253772736e-002</threshold>
-            <left_val>3.8035649806261063e-002</left_val>
-            <right_val>-5.4452228546142578e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 2 -1.</_>
-                <_>
-                  17 1 1 1 2.</_>
-                <_>
-                  16 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1786170216510072e-004</threshold>
-            <left_val>1.0787220299243927e-001</left_val>
-            <right_val>-9.9519513547420502e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 2 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_>
-                <_>
-                  1 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1047790030715987e-004</threshold>
-            <left_val>1.5495459735393524e-001</left_val>
-            <right_val>-1.3301509618759155e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 8 2 -1.</_>
-                <_>
-                  5 2 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8215600401163101e-002</threshold>
-            <left_val>-6.8660423159599304e-002</left_val>
-            <right_val>3.1199648976325989e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 10 4 -1.</_>
-                <_>
-                  0 0 5 2 2.</_>
-                <_>
-                  5 2 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3898409008979797e-002</threshold>
-            <left_val>3.9685648679733276e-001</left_val>
-            <right_val>-6.3897557556629181e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 3 5 -1.</_>
-                <_>
-                  12 0 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3358090072870255e-002</threshold>
-            <left_val>3.1209040433168411e-002</left_val>
-            <right_val>-2.4712960422039032e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 3 5 -1.</_>
-                <_>
-                  5 0 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5800479799509048e-002</threshold>
-            <left_val>-5.2216792106628418e-001</left_val>
-            <right_val>4.1600730270147324e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 1 1 2 -1.</_>
-                <_>
-                  17 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1199319851584733e-004</threshold>
-            <left_val>8.4395922720432281e-002</left_val>
-            <right_val>-8.4499090909957886e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 1 -1.</_>
-                <_>
-                  1 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.2885202320758253e-005</threshold>
-            <left_val>9.7559772431850433e-002</left_val>
-            <right_val>-2.1725979447364807e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 4 -1.</_>
-                <_>
-                  12 5 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7041969373822212e-003</threshold>
-            <left_val>2.4064439535140991e-001</left_val>
-            <right_val>-8.1906877458095551e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 4 5 -1.</_>
-                <_>
-                  4 4 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7193550057709217e-003</threshold>
-            <left_val>2.0804579555988312e-001</left_val>
-            <right_val>-1.2089549750089645e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 4 3 -1.</_>
-                <_>
-                  8 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1287519708275795e-002</threshold>
-            <left_val>2.9528530314564705e-002</left_val>
-            <right_val>-7.2591358423233032e-001</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 5 3 -1.</_>
-                <_>
-                  7 3 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5930920839309692e-002</threshold>
-            <left_val>1.1086650192737579e-001</left_val>
-            <right_val>-1.8737399578094482e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 1 2 -1.</_>
-                <_>
-                  16 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2024390161968768e-004</threshold>
-            <left_val>-1.7434149980545044e-001</left_val>
-            <right_val>6.9688543677330017e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 3 3 -1.</_>
-                <_>
-                  0 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0100419633090496e-002</threshold>
-            <left_val>-5.1131051778793335e-001</left_val>
-            <right_val>3.8271598517894745e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 1 3 3 -1.</_>
-                <_>
-                  12 2 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.5751100853085518e-002</threshold>
-            <left_val>-5.4672010242938995e-002</left_val>
-            <right_val>2.3799930512905121e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 3 3 -1.</_>
-                <_>
-                  6 2 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0234059542417526e-002</threshold>
-            <left_val>2.6857110857963562e-001</left_val>
-            <right_val>-7.7714122831821442e-002</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 1 2 -1.</_>
-                <_>
-                  16 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0138830586802214e-004</threshold>
-            <left_val>6.1015319079160690e-002</left_val>
-            <right_val>-5.6767448782920837e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 1 2 -1.</_>
-                <_>
-                  0 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7477441411465406e-005</threshold>
-            <left_val>-1.6955520212650299e-001</left_val>
-            <right_val>1.1403830349445343e-001</right_val></_></_></trees>
-      <stage_threshold>-1.7348790168762207e+000</stage_threshold>
-      <parent>8</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 10 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.8045219630002975e-002</threshold>
-            <left_val>6.2558948993682861e-001</left_val>
-            <right_val>-3.3365538716316223e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 10 4 -1.</_>
-                <_>
-                  4 4 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0243478268384933e-002</threshold>
-            <left_val>4.7322180867195129e-001</left_val>
-            <right_val>-2.9186329245567322e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 16 8 -1.</_>
-                <_>
-                  1 8 16 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.8331419229507446e-001</threshold>
-            <left_val>-3.9113879203796387e-001</left_val>
-            <right_val>2.5622650980949402e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 4 -1.</_>
-                <_>
-                  13 6 1 2 2.</_>
-                <_>
-                  12 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0044081397354603e-003</threshold>
-            <left_val>3.6399510502815247e-001</left_val>
-            <right_val>-1.9256359338760376e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 12 3 -1.</_>
-                <_>
-                  4 0 4 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7470009177923203e-002</threshold>
-            <left_val>1.7452430725097656e-001</left_val>
-            <right_val>-3.1919050216674805e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 5 3 4 -1.</_>
-                <_>
-                  14 6 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.9117159545421600e-002</threshold>
-            <left_val>-5.4369669407606125e-002</left_val>
-            <right_val>3.1064510345458984e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 4 3 -1.</_>
-                <_>
-                  4 6 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1656920425593853e-002</threshold>
-            <left_val>2.5671890377998352e-001</left_val>
-            <right_val>-1.8017989397048950e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 3 2 1 -1.</_>
-                <_>
-                  16 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0440209734952077e-004</threshold>
-            <left_val>6.1535339802503586e-002</left_val>
-            <right_val>-9.6504412591457367e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 1 -1.</_>
-                <_>
-                  1 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0555270273471251e-004</threshold>
-            <left_val>1.2562979757785797e-001</left_val>
-            <right_val>-2.9777041077613831e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 16 6 -1.</_>
-                <_>
-                  10 6 8 3 2.</_>
-                <_>
-                  2 9 8 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.5841680169105530e-002</threshold>
-            <left_val>7.2272002696990967e-002</left_val>
-            <right_val>-3.9159971475601196e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 6 3 -1.</_>
-                <_>
-                  8 6 2 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0494170263409615e-002</threshold>
-            <left_val>1.4515119791030884e-001</left_val>
-            <right_val>-2.1794329583644867e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.8034840971231461e-002</threshold>
-            <left_val>-4.3140959739685059e-001</left_val>
-            <right_val>9.2317827045917511e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 10 8 -1.</_>
-                <_>
-                  6 1 5 8 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9059879481792450e-002</threshold>
-            <left_val>1.2736010551452637e-001</left_val>
-            <right_val>-2.6893270015716553e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 1 2 -1.</_>
-                <_>
-                  16 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1368029663572088e-004</threshold>
-            <left_val>-7.3847033083438873e-002</left_val>
-            <right_val>8.1634096801280975e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 1 2 -1.</_>
-                <_>
-                  1 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.8208111012354493e-005</threshold>
-            <left_val>1.4976090192794800e-001</left_val>
-            <right_val>-2.6417461037635803e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 15 4 -1.</_>
-                <_>
-                  3 1 15 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9730750024318695e-002</threshold>
-            <left_val>-1.3633200526237488e-001</left_val>
-            <right_val>2.3572669923305511e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 14 4 -1.</_>
-                <_>
-                  2 3 14 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9196860268712044e-002</threshold>
-            <left_val>-1.1701930314302444e-001</left_val>
-            <right_val>3.0721390247344971e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 1 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.9500172287225723e-003</threshold>
-            <left_val>6.5656699240207672e-002</left_val>
-            <right_val>-3.5064420104026794e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 1 3 -1.</_>
-                <_>
-                  2 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0177420452237129e-002</threshold>
-            <left_val>-5.5617290735244751e-001</left_val>
-            <right_val>5.7798638939857483e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 11 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6030209371820092e-004</threshold>
-            <left_val>-4.1421860456466675e-001</left_val>
-            <right_val>6.5753549337387085e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 2 1 -1.</_>
-                <_>
-                  7 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.3059297651052475e-003</threshold>
-            <left_val>-5.4771828651428223e-001</left_val>
-            <right_val>5.4126661270856857e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 2 -1.</_>
-                <_>
-                  13 6 1 1 2.</_>
-                <_>
-                  12 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0308510176837444e-003</threshold>
-            <left_val>-7.0931516587734222e-002</left_val>
-            <right_val>2.7669700980186462e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 2 2 -1.</_>
-                <_>
-                  4 6 1 1 2.</_>
-                <_>
-                  5 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1008529691025615e-003</threshold>
-            <left_val>2.4519720673561096e-001</left_val>
-            <right_val>-1.1666910350322723e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 4 -1.</_>
-                <_>
-                  12 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1806489899754524e-002</threshold>
-            <left_val>3.6385551095008850e-002</left_val>
-            <right_val>-3.4721049666404724e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 3 2 -1.</_>
-                <_>
-                  2 1 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1421480216085911e-002</threshold>
-            <left_val>6.0349930077791214e-002</left_val>
-            <right_val>-4.1798681020736694e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 3 -1.</_>
-                <_>
-                  5 3 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1913980841636658e-002</threshold>
-            <left_val>3.7621480226516724e-001</left_val>
-            <right_val>-7.5227960944175720e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 2 -1.</_>
-                <_>
-                  0 3 1 1 2.</_>
-                <_>
-                  1 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0130680311704054e-004</threshold>
-            <left_val>1.8032610416412354e-001</left_val>
-            <right_val>-1.4267539978027344e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 4 -1.</_>
-                <_>
-                  9 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2019679881632328e-002</threshold>
-            <left_val>4.4374089688062668e-002</left_val>
-            <right_val>-4.2647609114646912e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 1 -1.</_>
-                <_>
-                  1 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1055770301027223e-004</threshold>
-            <left_val>9.3973703682422638e-002</left_val>
-            <right_val>-2.4647060036659241e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 2 3 -1.</_>
-                <_>
-                  15 0 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.0081219971179962e-002</threshold>
-            <left_val>1.8790829926729202e-002</left_val>
-            <right_val>-3.6197790503501892e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 3 2 -1.</_>
-                <_>
-                  3 0 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.3911399990320206e-002</threshold>
-            <left_val>-3.4600418806076050e-001</left_val>
-            <right_val>6.4775317907333374e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  7 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1680570431053638e-002</threshold>
-            <left_val>2.8401941061019897e-001</left_val>
-            <right_val>-8.2157500088214874e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 2 1 -1.</_>
-                <_>
-                  6 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1604610335780308e-004</threshold>
-            <left_val>9.5449857413768768e-002</left_val>
-            <right_val>-2.5136241316795349e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 4 5 -1.</_>
-                <_>
-                  10 2 2 5 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.9045611172914505e-002</threshold>
-            <left_val>1.6295669972896576e-001</left_val>
-            <right_val>-3.1894739717245102e-002</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 5 4 -1.</_>
-                <_>
-                  8 2 5 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.2497879117727280e-002</threshold>
-            <left_val>1.2830619513988495e-001</left_val>
-            <right_val>-1.9523960351943970e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1159799993038177e-002</threshold>
-            <left_val>9.6235200762748718e-002</left_val>
-            <right_val>-1.3243910670280457e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 8 3 1 -1.</_>
-                <_>
-                  5 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0230819694697857e-002</threshold>
-            <left_val>-5.4654151201248169e-001</left_val>
-            <right_val>4.2988520115613937e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 3 5 -1.</_>
-                <_>
-                  12 4 1 5 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3818079605698586e-002</threshold>
-            <left_val>-3.5042509436607361e-002</left_val>
-            <right_val>1.9387160241603851e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 5 3 -1.</_>
-                <_>
-                  6 4 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.2773461192846298e-002</threshold>
-            <left_val>3.3459728956222534e-001</left_val>
-            <right_val>-6.9436222314834595e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 4 1 -1.</_>
-                <_>
-                  12 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0122410971671343e-003</threshold>
-            <left_val>2.3572669923305511e-001</left_val>
-            <right_val>-6.8288393318653107e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 4 3 -1.</_>
-                <_>
-                  4 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6818650551140308e-003</threshold>
-            <left_val>1.9051979482173920e-001</left_val>
-            <right_val>-1.4668950438499451e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 3 1 -1.</_>
-                <_>
-                  13 4 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.0836980789899826e-002</threshold>
-            <left_val>-3.7860611081123352e-001</left_val>
-            <right_val>1.3093659654259682e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 1 3 -1.</_>
-                <_>
-                  5 4 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6258839517831802e-002</threshold>
-            <left_val>-6.0836392641067505e-001</left_val>
-            <right_val>4.6812709420919418e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 3 3 -1.</_>
-                <_>
-                  9 0 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0061817318201065e-003</threshold>
-            <left_val>-5.4105937480926514e-001</left_val>
-            <right_val>3.7968978285789490e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 5 2 -1.</_>
-                <_>
-                  6 1 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1912579648196697e-002</threshold>
-            <left_val>-8.6741238832473755e-002</left_val>
-            <right_val>2.6622739434242249e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 3 2 -1.</_>
-                <_>
-                  14 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.3502021580934525e-002</threshold>
-            <left_val>-7.2856420278549194e-001</left_val>
-            <right_val>7.2535811923444271e-003</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 2 3 -1.</_>
-                <_>
-                  4 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1481899768114090e-002</threshold>
-            <left_val>6.1771500855684280e-002</left_val>
-            <right_val>-4.0001630783081055e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 6 2 -1.</_>
-                <_>
-                  8 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1509420126676559e-002</threshold>
-            <left_val>-6.4027559757232666e-001</left_val>
-            <right_val>2.7487259358167648e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 18 6 -1.</_>
-                <_>
-                  0 9 18 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9324969984591007e-003</threshold>
-            <left_val>-7.3666751384735107e-001</left_val>
-            <right_val>2.0676780492067337e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 4 6 -1.</_>
-                <_>
-                  15 6 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7581312246620655e-003</threshold>
-            <left_val>1.4155970513820648e-001</left_val>
-            <right_val>-9.4146639108657837e-002</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 7 2 2 -1.</_>
-                <_>
-                  7 7 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7454020678997040e-002</threshold>
-            <left_val>-3.8733229041099548e-001</left_val>
-            <right_val>4.8368278890848160e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 4 6 -1.</_>
-                <_>
-                  15 6 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7281790524721146e-002</threshold>
-            <left_val>-4.6986758708953857e-001</left_val>
-            <right_val>5.1076877862215042e-003</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 4 6 -1.</_>
-                <_>
-                  1 6 2 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0604689829051495e-002</threshold>
-            <left_val>2.0816320180892944e-001</left_val>
-            <right_val>-8.8896490633487701e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 3 1 -1.</_>
-                <_>
-                  12 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.6771931014955044e-003</threshold>
-            <left_val>1.4150680601596832e-001</left_val>
-            <right_val>-2.3727510124444962e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  8 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6871385574340820e-003</threshold>
-            <left_val>4.5327730476856232e-002</left_val>
-            <right_val>-4.2952930927276611e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 5 -1.</_>
-                <_>
-                  15 5 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.8880778960883617e-003</threshold>
-            <left_val>6.8065337836742401e-002</left_val>
-            <right_val>-4.6702779829502106e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 4 5 -1.</_>
-                <_>
-                  1 5 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.6327122300863266e-003</threshold>
-            <left_val>-8.0038279294967651e-002</left_val>
-            <right_val>2.5579911470413208e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 3 4 -1.</_>
-                <_>
-                  9 0 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3295389711856842e-002</threshold>
-            <left_val>1.7721930518746376e-002</left_val>
-            <right_val>-3.2223680615425110e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 2 1 -1.</_>
-                <_>
-                  5 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2117589833214879e-004</threshold>
-            <left_val>8.6900167167186737e-002</left_val>
-            <right_val>-2.2269949316978455e-001</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 2 -1.</_>
-                <_>
-                  17 4 1 1 2.</_>
-                <_>
-                  16 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1635709961410612e-004</threshold>
-            <left_val>1.1741170287132263e-001</left_val>
-            <right_val>-1.1703369766473770e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 2 -1.</_>
-                <_>
-                  0 4 1 1 2.</_>
-                <_>
-                  1 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1243829794693738e-004</threshold>
-            <left_val>1.5170790255069733e-001</left_val>
-            <right_val>-1.2557980418205261e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 12 2 -1.</_>
-                <_>
-                  12 1 6 1 2.</_>
-                <_>
-                  6 2 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3494050130248070e-002</threshold>
-            <left_val>-3.2267540693283081e-002</left_val>
-            <right_val>1.3067859411239624e-001</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 12 2 -1.</_>
-                <_>
-                  0 1 6 1 2.</_>
-                <_>
-                  6 2 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4105159789323807e-002</threshold>
-            <left_val>2.5845968723297119e-001</left_val>
-            <right_val>-8.1946328282356262e-002</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 1 2 -1.</_>
-                <_>
-                  16 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.9773012287914753e-003</threshold>
-            <left_val>-2.4286900460720062e-001</left_val>
-            <right_val>2.4097239598631859e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 1 2 -1.</_>
-                <_>
-                  1 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1385620018700138e-004</threshold>
-            <left_val>1.2425749748945236e-001</left_val>
-            <right_val>-1.9230820238590240e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 18 3 -1.</_>
-                <_>
-                  6 9 6 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.6696133017539978e-002</threshold>
-            <left_val>2.1385669708251953e-001</left_val>
-            <right_val>-9.1387532651424408e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 7 3 2 -1.</_>
-                <_>
-                  3 7 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0115380398929119e-002</threshold>
-            <left_val>-5.7194989174604416e-002</left_val>
-            <right_val>3.4964808821678162e-001</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 8 3 4 -1.</_>
-                <_>
-                  15 9 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2917679734528065e-002</threshold>
-            <left_val>6.4482808113098145e-002</left_val>
-            <right_val>-3.6598050594329834e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 3 4 -1.</_>
-                <_>
-                  0 9 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0063810274004936e-002</threshold>
-            <left_val>-4.3763339519500732e-001</left_val>
-            <right_val>4.6401929110288620e-002</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8289760705083609e-003</threshold>
-            <left_val>2.6984658837318420e-001</left_val>
-            <right_val>-4.3675228953361511e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 6 4 -1.</_>
-                <_>
-                  5 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9884070158004761e-002</threshold>
-            <left_val>3.4730698913335800e-002</left_val>
-            <right_val>-4.9211961030960083e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 1 6 -1.</_>
-                <_>
-                  8 2 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.9557611346244812e-002</threshold>
-            <left_val>-1.4452800154685974e-002</left_val>
-            <right_val>2.5015810132026672e-001</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 5 6 -1.</_>
-                <_>
-                  0 6 5 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1242230236530304e-001</threshold>
-            <left_val>-7.0981448888778687e-001</left_val>
-            <right_val>2.4513319134712219e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 1 3 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.2617297992110252e-003</threshold>
-            <left_val>1.1259379982948303e-001</left_val>
-            <right_val>-9.0036422014236450e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 3 2 -1.</_>
-                <_>
-                  0 5 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0905790142714977e-002</threshold>
-            <left_val>3.5278510302305222e-002</left_val>
-            <right_val>-4.7903269529342651e-001</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 4 3 -1.</_>
-                <_>
-                  7 4 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1580660715699196e-002</threshold>
-            <left_val>2.4947710335254669e-001</left_val>
-            <right_val>-6.7340537905693054e-002</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 3 4 -1.</_>
-                <_>
-                  7 0 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2180290184915066e-002</threshold>
-            <left_val>3.3950321376323700e-002</left_val>
-            <right_val>-4.9424359202384949e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 1 6 -1.</_>
-                <_>
-                  7 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.1639029532670975e-002</threshold>
-            <left_val>-1.5156419947743416e-002</left_val>
-            <right_val>1.7232060432434082e-001</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 6 1 -1.</_>
-                <_>
-                  11 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.4598629921674728e-002</threshold>
-            <left_val>1.7717359960079193e-001</left_val>
-            <right_val>-9.7788341343402863e-002</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 3 3 -1.</_>
-                <_>
-                  9 9 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7015062086284161e-003</threshold>
-            <left_val>-3.5656741261482239e-001</left_val>
-            <right_val>3.8341779261827469e-002</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 6 2 -1.</_>
-                <_>
-                  8 10 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7201770097017288e-002</threshold>
-            <left_val>2.7020750567317009e-002</left_val>
-            <right_val>-5.7964348793029785e-001</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 4 3 -1.</_>
-                <_>
-                  9 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.1718079745769501e-003</threshold>
-            <left_val>1.1538869887590408e-001</left_val>
-            <right_val>-7.7362932264804840e-002</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 4 3 -1.</_>
-                <_>
-                  7 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.1809311844408512e-003</threshold>
-            <left_val>1.5495200455188751e-001</left_val>
-            <right_val>-1.1836340278387070e-001</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 4 1 -1.</_>
-                <_>
-                  11 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5254609063267708e-003</threshold>
-            <left_val>2.1247270703315735e-001</left_val>
-            <right_val>-6.8675488233566284e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 1 -1.</_>
-                <_>
-                  7 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.1780458781868219e-004</threshold>
-            <left_val>-7.9140536487102509e-002</left_val>
-            <right_val>2.4011979997158051e-001</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 3 -1.</_>
-                <_>
-                  6 0 6 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1357679963111877e-001</threshold>
-            <left_val>1.8214240670204163e-001</left_val>
-            <right_val>-9.2686779797077179e-002</right_val></_></_></trees>
-      <stage_threshold>-1.6796829700469971e+000</stage_threshold>
-      <parent>9</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 11 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2196098268032074e-002</threshold>
-            <left_val>6.2321871519088745e-001</left_val>
-            <right_val>-3.0846419930458069e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 15 6 -1.</_>
-                <_>
-                  3 4 15 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6721360385417938e-001</threshold>
-            <left_val>3.9328968524932861e-001</left_val>
-            <right_val>-2.9381090402603149e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 4 3 -1.</_>
-                <_>
-                  2 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.1970818787813187e-003</threshold>
-            <left_val>1.9036029279232025e-001</left_val>
-            <right_val>-4.2775529623031616e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 4 -1.</_>
-                <_>
-                  13 6 1 2 2.</_>
-                <_>
-                  12 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.0129230841994286e-003</threshold>
-            <left_val>3.3292838931083679e-001</left_val>
-            <right_val>-1.6145950555801392e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 18 6 -1.</_>
-                <_>
-                  0 9 18 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7938390374183655e-001</threshold>
-            <left_val>-4.7852781414985657e-001</left_val>
-            <right_val>8.2675926387310028e-002</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 3 3 -1.</_>
-                <_>
-                  13 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8582969680428505e-002</threshold>
-            <left_val>-6.5726870298385620e-001</left_val>
-            <right_val>2.7196610346436501e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 3 3 -1.</_>
-                <_>
-                  4 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3926457874476910e-003</threshold>
-            <left_val>2.2020849585533142e-001</left_val>
-            <right_val>-1.9411289691925049e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 4 5 -1.</_>
-                <_>
-                  11 1 2 5 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9471900537610054e-002</threshold>
-            <left_val>-3.7211358547210693e-002</left_val>
-            <right_val>1.0708980262279510e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 2 -1.</_>
-                <_>
-                  6 4 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.2243539392948151e-002</threshold>
-            <left_val>1.6777120530605316e-001</left_val>
-            <right_val>-2.5471720099449158e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 1 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1272449977695942e-002</threshold>
-            <left_val>3.0362820252776146e-002</left_val>
-            <right_val>-3.2199749350547791e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 1 3 -1.</_>
-                <_>
-                  2 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.7296248637139797e-003</threshold>
-            <left_val>5.1309239119291306e-002</left_val>
-            <right_val>-5.2529060840606689e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 6 1 -1.</_>
-                <_>
-                  8 6 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.6719911992549896e-003</threshold>
-            <left_val>1.2681700289249420e-001</left_val>
-            <right_val>-2.2429600358009338e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2269289046525955e-002</threshold>
-            <left_val>-4.0020480751991272e-001</left_val>
-            <right_val>8.0248616635799408e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 5 3 4 -1.</_>
-                <_>
-                  14 6 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.1855400204658508e-002</threshold>
-            <left_val>-8.9768264442682266e-003</left_val>
-            <right_val>3.4974721074104309e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 4 3 -1.</_>
-                <_>
-                  4 6 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.2366232052445412e-003</threshold>
-            <left_val>1.7443999648094177e-001</left_val>
-            <right_val>-1.7355519533157349e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 16 6 -1.</_>
-                <_>
-                  10 6 8 3 2.</_>
-                <_>
-                  2 9 8 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.4777632951736450e-002</threshold>
-            <left_val>5.1062591373920441e-002</left_val>
-            <right_val>-3.6973360180854797e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 9 2 1 -1.</_>
-                <_>
-                  3 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1314899893477559e-004</threshold>
-            <left_val>1.0845900326967239e-001</left_val>
-            <right_val>-2.3838439583778381e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 9 1 3 -1.</_>
-                <_>
-                  17 10 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9757779557257891e-003</threshold>
-            <left_val>-3.7891590595245361e-001</left_val>
-            <right_val>4.7076370567083359e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 16 4 -1.</_>
-                <_>
-                  1 1 16 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3355841189622879e-002</threshold>
-            <left_val>-1.0889430344104767e-001</left_val>
-            <right_val>2.2752620279788971e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 4 -1.</_>
-                <_>
-                  5 3 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1121319159865379e-002</threshold>
-            <left_val>-1.0356359928846359e-001</left_val>
-            <right_val>3.2433480024337769e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 8 4 -1.</_>
-                <_>
-                  5 0 4 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2188410405069590e-003</threshold>
-            <left_val>1.1988320201635361e-001</left_val>
-            <right_val>-2.5309950113296509e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 4 -1.</_>
-                <_>
-                  9 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3322260230779648e-002</threshold>
-            <left_val>-4.6327260136604309e-001</left_val>
-            <right_val>2.7917400002479553e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 4 -1.</_>
-                <_>
-                  7 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1763609945774078e-002</threshold>
-            <left_val>-4.9447950720787048e-001</left_val>
-            <right_val>6.2780112028121948e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 8 2 -1.</_>
-                <_>
-                  5 5 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6546010747551918e-002</threshold>
-            <left_val>-7.0860996842384338e-002</left_val>
-            <right_val>3.8759338855743408e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 6 -1.</_>
-                <_>
-                  0 2 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0983680374920368e-002</threshold>
-            <left_val>5.2215598523616791e-002</left_val>
-            <right_val>-4.7912430763244629e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 1 6 -1.</_>
-                <_>
-                  8 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.5203430801630020e-002</threshold>
-            <left_val>1.4733970165252686e-001</left_val>
-            <right_val>-4.7205299139022827e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 6 5 -1.</_>
-                <_>
-                  5 0 2 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.8792399466037750e-002</threshold>
-            <left_val>-4.8313421010971069e-001</left_val>
-            <right_val>5.1030978560447693e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 1 2 -1.</_>
-                <_>
-                  13 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4748310204595327e-003</threshold>
-            <left_val>8.6995199322700500e-002</left_val>
-            <right_val>-1.3301639258861542e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 6 1 -1.</_>
-                <_>
-                  10 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3379849269986153e-002</threshold>
-            <left_val>1.2155140191316605e-001</left_val>
-            <right_val>-1.8905250728130341e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 6 -1.</_>
-                <_>
-                  5 2 8 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4968539774417877e-001</threshold>
-            <left_val>5.3282499313354492e-001</left_val>
-            <right_val>-4.3869771063327789e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  0 0 9 6 2.</_>
-                <_>
-                  9 6 9 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3147540092468262e-001</threshold>
-            <left_val>3.6285050213336945e-002</left_val>
-            <right_val>-7.2065258026123047e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 9 7 3 -1.</_>
-                <_>
-                  11 10 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2757069915533066e-002</threshold>
-            <left_val>1.5488710254430771e-002</left_val>
-            <right_val>-6.0830378532409668e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 6 2 -1.</_>
-                <_>
-                  8 9 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0532529801130295e-002</threshold>
-            <left_val>-5.3597778081893921e-001</left_val>
-            <right_val>3.8419000804424286e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 9 7 3 -1.</_>
-                <_>
-                  11 10 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3228048831224442e-002</threshold>
-            <left_val>-6.8606472015380859e-001</left_val>
-            <right_val>4.9887378700077534e-003</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 3 3 -1.</_>
-                <_>
-                  5 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.1122281476855278e-003</threshold>
-            <left_val>2.4422119557857513e-001</left_val>
-            <right_val>-8.1252299249172211e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 6 3 -1.</_>
-                <_>
-                  14 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4673279598355293e-002</threshold>
-            <left_val>2.1088060736656189e-001</left_val>
-            <right_val>-1.6600500047206879e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 6 3 -1.</_>
-                <_>
-                  2 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0619849897921085e-002</threshold>
-            <left_val>1.5236820280551910e-001</left_val>
-            <right_val>-1.5812709927558899e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 5 5 4 -1.</_>
-                <_>
-                  13 6 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5401569008827209e-002</threshold>
-            <left_val>-5.9497058391571045e-001</left_val>
-            <right_val>1.7393449321389198e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 7 3 -1.</_>
-                <_>
-                  0 10 7 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1991839632391930e-002</threshold>
-            <left_val>3.2845780253410339e-002</left_val>
-            <right_val>-5.8278721570968628e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 1 2 -1.</_>
-                <_>
-                  13 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6024880111217499e-002</threshold>
-            <left_val>-5.9319758415222168e-001</left_val>
-            <right_val>7.7277477830648422e-003</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.4009672971442342e-005</threshold>
-            <left_val>1.0054150223731995e-001</left_val>
-            <right_val>-1.9513580203056335e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 18 9 -1.</_>
-                <_>
-                  6 1 6 9 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8304589390754700e-001</threshold>
-            <left_val>1.1641489714384079e-001</left_val>
-            <right_val>-1.9243900477886200e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 2 1 -1.</_>
-                <_>
-                  5 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.1587168127298355e-003</threshold>
-            <left_val>2.7310799807310104e-002</left_val>
-            <right_val>-6.5126478672027588e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 7 2 3 -1.</_>
-                <_>
-                  15 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.0543098002672195e-003</threshold>
-            <left_val>3.5822600126266479e-002</left_val>
-            <right_val>-1.2355879694223404e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 7 3 2 -1.</_>
-                <_>
-                  3 7 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0826930403709412e-002</threshold>
-            <left_val>-5.6947678327560425e-002</left_val>
-            <right_val>3.7964731454849243e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 2 -1.</_>
-                <_>
-                  16 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9336320459842682e-002</threshold>
-            <left_val>-2.7437770366668701e-001</left_val>
-            <right_val>2.3742979392409325e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 4 3 -1.</_>
-                <_>
-                  1 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0844670254737139e-003</threshold>
-            <left_val>-8.8440679013729095e-002</left_val>
-            <right_val>2.0758619904518127e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 2 -1.</_>
-                <_>
-                  16 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.4967800118029118e-002</threshold>
-            <left_val>3.0504930764436722e-002</left_val>
-            <right_val>-2.1708330512046814e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 7 2 -1.</_>
-                <_>
-                  4 2 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4697089791297913e-002</threshold>
-            <left_val>-6.8411618471145630e-002</left_val>
-            <right_val>2.7859160304069519e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 1 2 -1.</_>
-                <_>
-                  15 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2393240467645228e-004</threshold>
-            <left_val>6.8553149700164795e-002</left_val>
-            <right_val>-8.7831273674964905e-002</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 1 2 -1.</_>
-                <_>
-                  2 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0554819891694933e-004</threshold>
-            <left_val>1.1712960153818130e-001</left_val>
-            <right_val>-1.5531350672245026e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 3 -1.</_>
-                <_>
-                  6 1 6 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0648550093173981e-001</threshold>
-            <left_val>-6.1998508870601654e-002</left_val>
-            <right_val>2.7710339426994324e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 4 -1.</_>
-                <_>
-                  5 1 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0953379347920418e-002</threshold>
-            <left_val>3.0595239996910095e-001</left_val>
-            <right_val>-6.0716990381479263e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 3 2 -1.</_>
-                <_>
-                  16 2 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.9498629271984100e-002</threshold>
-            <left_val>-3.9406108856201172e-001</left_val>
-            <right_val>1.6826160252094269e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 4 6 -1.</_>
-                <_>
-                  0 8 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9228470772504807e-002</threshold>
-            <left_val>3.4308459609746933e-002</left_val>
-            <right_val>-5.0780892372131348e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 9 8 -1.</_>
-                <_>
-                  5 8 9 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1081350035965443e-002</threshold>
-            <left_val>-6.4533978700637817e-001</left_val>
-            <right_val>2.1389039233326912e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 1 4 -1.</_>
-                <_>
-                  4 2 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5145439654588699e-002</threshold>
-            <left_val>-4.2602449655532837e-001</left_val>
-            <right_val>3.9356358349323273e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 2 -1.</_>
-                <_>
-                  11 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2890921942889690e-003</threshold>
-            <left_val>1.9488410651683807e-001</left_val>
-            <right_val>-6.0674101114273071e-002</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.3016500100493431e-003</threshold>
-            <left_val>-5.4184222221374512e-001</left_val>
-            <right_val>3.1283780932426453e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 2 1 -1.</_>
-                <_>
-                  9 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2362208478152752e-003</threshold>
-            <left_val>-2.9087099432945251e-001</left_val>
-            <right_val>1.4468260109424591e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 2 1 -1.</_>
-                <_>
-                  8 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1999450362054631e-004</threshold>
-            <left_val>-1.3722729682922363e-001</left_val>
-            <right_val>1.2392169982194901e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 11 2 1 -1.</_>
-                <_>
-                  16 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9742529839277267e-003</threshold>
-            <left_val>2.9429899528622627e-002</left_val>
-            <right_val>-1.6445399820804596e-001</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 2 1 -1.</_>
-                <_>
-                  1 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2930440425407141e-004</threshold>
-            <left_val>1.2450899928808212e-001</left_val>
-            <right_val>-1.3043509423732758e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 2 -1.</_>
-                <_>
-                  16 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2735600359737873e-003</threshold>
-            <left_val>6.0308720916509628e-002</left_val>
-            <right_val>-1.3316330313682556e-001</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 2 2 -1.</_>
-                <_>
-                  2 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.2600082233548164e-003</threshold>
-            <left_val>-6.8703986704349518e-002</left_val>
-            <right_val>2.7337071299552917e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 11 16 1 -1.</_>
-                <_>
-                  2 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8149579465389252e-002</threshold>
-            <left_val>-4.7220858931541443e-001</left_val>
-            <right_val>2.1372530609369278e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 1 4 -1.</_>
-                <_>
-                  0 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1436408646404743e-003</threshold>
-            <left_val>-3.3360588550567627e-001</left_val>
-            <right_val>5.2412509918212891e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 2 2 2 -1.</_>
-                <_>
-                  15 2 1 1 2.</_>
-                <_>
-                  14 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1810749856522307e-004</threshold>
-            <left_val>1.2552410364151001e-001</left_val>
-            <right_val>-1.2879179418087006e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 2 2 -1.</_>
-                <_>
-                  2 2 1 1 2.</_>
-                <_>
-                  3 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2218070332892239e-004</threshold>
-            <left_val>1.3134269416332245e-001</left_val>
-            <right_val>-1.2296169996261597e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 4 -1.</_>
-                <_>
-                  10 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8656680360436440e-002</threshold>
-            <left_val>-3.5880041122436523e-001</left_val>
-            <right_val>1.2528499588370323e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 7 -1.</_>
-                <_>
-                  8 2 2 7 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4258540719747543e-002</threshold>
-            <left_val>1.2983490526676178e-001</left_val>
-            <right_val>-1.2182570248842239e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.7113481238484383e-003</threshold>
-            <left_val>-5.6336041539907455e-002</left_val>
-            <right_val>1.5032570064067841e-001</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.5950678437948227e-003</threshold>
-            <left_val>3.3188471198081970e-001</left_val>
-            <right_val>-6.1699498444795609e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 1 -1.</_>
-                <_>
-                  16 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0678060352802277e-002</threshold>
-            <left_val>-6.6613417863845825e-001</left_val>
-            <right_val>1.2147589586675167e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 1 -1.</_>
-                <_>
-                  1 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3358499563764781e-004</threshold>
-            <left_val>8.6387783288955688e-002</left_val>
-            <right_val>-2.0256230235099792e-001</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 11 6 1 -1.</_>
-                <_>
-                  9 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4575020410120487e-002</threshold>
-            <left_val>-7.3572522401809692e-001</left_val>
-            <right_val>2.1267030388116837e-002</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 11 6 1 -1.</_>
-                <_>
-                  7 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1412939988076687e-002</threshold>
-            <left_val>-5.0988101959228516e-001</left_val>
-            <right_val>2.6772709563374519e-002</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 3 -1.</_>
-                <_>
-                  14 1 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.4162081778049469e-002</threshold>
-            <left_val>3.6300870776176453e-001</left_val>
-            <right_val>-2.7194390073418617e-002</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 3 3 -1.</_>
-                <_>
-                  4 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2955790162086487e-002</threshold>
-            <left_val>2.7859601378440857e-001</left_val>
-            <right_val>-5.2748218178749084e-002</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 3 9 -1.</_>
-                <_>
-                  14 5 1 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8807529807090759e-001</threshold>
-            <left_val>-8.1691658496856689e-001</left_val>
-            <right_val>9.1450996696949005e-003</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 3 9 -1.</_>
-                <_>
-                  3 5 1 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7352200821042061e-002</threshold>
-            <left_val>1.0071670264005661e-001</left_val>
-            <right_val>-1.6602990031242371e-001</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 4 1 -1.</_>
-                <_>
-                  10 6 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8700050897896290e-003</threshold>
-            <left_val>1.2723830342292786e-001</left_val>
-            <right_val>-5.8128058910369873e-002</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 2 -1.</_>
-                <_>
-                  7 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0184709466993809e-003</threshold>
-            <left_val>1.8212230503559113e-001</left_val>
-            <right_val>-8.9592203497886658e-002</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 1 3 2 -1.</_>
-                <_>
-                  14 2 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.5293970480561256e-002</threshold>
-            <left_val>1.2859360314905643e-002</left_val>
-            <right_val>-2.1852749586105347e-001</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 2 3 -1.</_>
-                <_>
-                  4 2 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.6635837107896805e-003</threshold>
-            <left_val>5.2143279463052750e-002</left_val>
-            <right_val>-3.0202549695968628e-001</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 8 2 2 -1.</_>
-                <_>
-                  10 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.5520989224314690e-003</threshold>
-            <left_val>-2.3607470095157623e-002</left_val>
-            <right_val>1.8376210331916809e-001</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 6 -1.</_>
-                <_>
-                  0 3 18 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.9739900231361389e-001</threshold>
-            <left_val>-5.3579831123352051e-001</left_val>
-            <right_val>2.8743360191583633e-002</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 1 3 3 -1.</_>
-                <_>
-                  12 1 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5186400152742863e-002</threshold>
-            <left_val>-3.3224511146545410e-001</left_val>
-            <right_val>8.5207987576723099e-003</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 8 2 2 -1.</_>
-                <_>
-                  8 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6664810478687286e-002</threshold>
-            <left_val>-3.6154919862747192e-001</left_val>
-            <right_val>4.0535591542720795e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 9 1 2 -1.</_>
-                <_>
-                  11 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6777740092948079e-003</threshold>
-            <left_val>5.6449390947818756e-002</left_val>
-            <right_val>-8.3506047725677490e-002</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 2 1 -1.</_>
-                <_>
-                  7 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.6815550457686186e-004</threshold>
-            <left_val>8.6002722382545471e-002</left_val>
-            <right_val>-1.6662649810314178e-001</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 3 -1.</_>
-                <_>
-                  7 3 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1504880860447884e-002</threshold>
-            <left_val>3.0984830856323242e-001</left_val>
-            <right_val>-4.7374550253152847e-002</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 12 3 -1.</_>
-                <_>
-                  3 3 12 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2018860317766666e-002</threshold>
-            <left_val>-1.1302450299263000e-001</left_val>
-            <right_val>1.5601180493831635e-001</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 1 3 1 -1.</_>
-                <_>
-                  12 2 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.8626540228724480e-003</threshold>
-            <left_val>7.7384807169437408e-002</left_val>
-            <right_val>-2.6118829846382141e-002</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 1 1 3 -1.</_>
-                <_>
-                  6 2 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.0883055925369263e-003</threshold>
-            <left_val>5.0701878964900970e-002</left_val>
-            <right_val>-3.0898410081863403e-001</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 4 4 -1.</_>
-                <_>
-                  15 6 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.0818139463663101e-003</threshold>
-            <left_val>1.0439839959144592e-001</left_val>
-            <right_val>-5.4040290415287018e-002</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 6 -1.</_>
-                <_>
-                  4 2 10 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3746709525585175e-001</threshold>
-            <left_val>-3.6280110478401184e-002</left_val>
-            <right_val>3.9113318920135498e-001</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 18 1 -1.</_>
-                <_>
-                  6 11 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7426609992980957e-002</threshold>
-            <left_val>1.6401870548725128e-001</left_val>
-            <right_val>-8.8042907416820526e-002</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 4 4 -1.</_>
-                <_>
-                  1 6 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0071439668536186e-002</threshold>
-            <left_val>1.9563260674476624e-001</left_val>
-            <right_val>-6.9586493074893951e-002</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 4 -1.</_>
-                <_>
-                  15 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6055470332503319e-002</threshold>
-            <left_val>1.6443690285086632e-002</left_val>
-            <right_val>-1.8746310472488403e-001</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 4 4 -1.</_>
-                <_>
-                  1 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9599670544266701e-002</threshold>
-            <left_val>-4.7449600696563721e-001</left_val>
-            <right_val>3.2551929354667664e-002</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 12 2 -1.</_>
-                <_>
-                  11 1 6 1 2.</_>
-                <_>
-                  5 2 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0608370415866375e-002</threshold>
-            <left_val>-3.7545830011367798e-002</left_val>
-            <right_val>9.7375199198722839e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 12 2 -1.</_>
-                <_>
-                  1 1 6 1 2.</_>
-                <_>
-                  7 2 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4044529758393764e-002</threshold>
-            <left_val>2.1422649919986725e-001</left_val>
-            <right_val>-6.7895002663135529e-002</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 4 2 -1.</_>
-                <_>
-                  13 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5813199803233147e-002</threshold>
-            <left_val>-6.4780187606811523e-001</left_val>
-            <right_val>1.3148790225386620e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 4 2 -1.</_>
-                <_>
-                  3 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5055449679493904e-002</threshold>
-            <left_val>-6.8386191129684448e-001</left_val>
-            <right_val>1.9564820453524590e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 4 4 6 -1.</_>
-                <_>
-                  14 6 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5806560218334198e-001</threshold>
-            <left_val>-5.3126132488250732e-001</left_val>
-            <right_val>3.8119140663184226e-004</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 12 4 -1.</_>
-                <_>
-                  2 6 6 2 2.</_>
-                <_>
-                  8 8 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0771630108356476e-002</threshold>
-            <left_val>-1.1685659736394882e-001</left_val>
-            <right_val>1.1046549677848816e-001</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 3 3 1 -1.</_>
-                <_>
-                  14 4 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8288820758461952e-002</threshold>
-            <left_val>-5.9239888191223145e-001</left_val>
-            <right_val>7.6842932030558586e-003</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 1 3 -1.</_>
-                <_>
-                  4 4 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.6896908208727837e-003</threshold>
-            <left_val>4.6517208218574524e-002</left_val>
-            <right_val>-2.9473629593849182e-001</right_val></_></_></trees>
-      <stage_threshold>-1.6673049926757812e+000</stage_threshold>
-      <parent>10</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 12 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 3 2 -1.</_>
-                <_>
-                  7 4 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.9956759661436081e-002</threshold>
-            <left_val>5.2230298519134521e-001</left_val>
-            <right_val>-3.5263240337371826e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 2 1 6 -1.</_>
-                <_>
-                  8 4 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8569729998707771e-002</threshold>
-            <left_val>1.4566479623317719e-001</left_val>
-            <right_val>-1.1563750356435776e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 6 1 -1.</_>
-                <_>
-                  10 3 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.1501019150018692e-002</threshold>
-            <left_val>3.6643621325492859e-001</left_val>
-            <right_val>-2.2006149590015411e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 7 9 1 -1.</_>
-                <_>
-                  10 7 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3764509707689285e-002</threshold>
-            <left_val>-1.0637629777193069e-001</left_val>
-            <right_val>3.3757281303405762e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 12 3 -1.</_>
-                <_>
-                  5 0 4 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6841601133346558e-002</threshold>
-            <left_val>2.0969760417938232e-001</left_val>
-            <right_val>-3.5538119077682495e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 16 8 -1.</_>
-                <_>
-                  1 8 16 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.5045730471611023e-001</threshold>
-            <left_val>-2.5148901343345642e-001</left_val>
-            <right_val>2.7531328797340393e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 1 -1.</_>
-                <_>
-                  1 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1612180242082104e-004</threshold>
-            <left_val>1.4220459759235382e-001</left_val>
-            <right_val>-3.4681579470634460e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 3 3 -1.</_>
-                <_>
-                  13 6 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.4308359250426292e-002</threshold>
-            <left_val>2.7634850144386292e-001</left_val>
-            <right_val>-5.8556519448757172e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 3 -1.</_>
-                <_>
-                  11 4 2 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0739170014858246e-001</threshold>
-            <left_val>2.5513848662376404e-001</left_val>
-            <right_val>-1.8360190093517303e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 6 3 -1.</_>
-                <_>
-                  13 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1329099312424660e-002</threshold>
-            <left_val>2.8843191266059875e-001</left_val>
-            <right_val>-1.2600709497928619e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  5 6 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.9198631942272186e-003</threshold>
-            <left_val>2.5516051054000854e-001</left_val>
-            <right_val>-1.7994299530982971e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 10 16 2 -1.</_>
-                <_>
-                  2 11 16 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3280439674854279e-003</threshold>
-            <left_val>-3.5088729858398438e-001</left_val>
-            <right_val>1.0136920213699341e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 4 -1.</_>
-                <_>
-                  0 1 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.8708179965615273e-003</threshold>
-            <left_val>5.1397740840911865e-002</left_val>
-            <right_val>-5.6077277660369873e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 4 3 -1.</_>
-                <_>
-                  10 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.8150614649057388e-003</threshold>
-            <left_val>3.9320938289165497e-002</left_val>
-            <right_val>-4.5681610703468323e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 4 3 -1.</_>
-                <_>
-                  6 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2296459637582302e-002</threshold>
-            <left_val>-5.4089337587356567e-001</left_val>
-            <right_val>4.8353921622037888e-002</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 5 2 -1.</_>
-                <_>
-                  8 1 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5832969918847084e-002</threshold>
-            <left_val>-9.2032462358474731e-002</left_val>
-            <right_val>3.3556351065635681e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 1 2 -1.</_>
-                <_>
-                  0 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1616790288826451e-004</threshold>
-            <left_val>1.3700810074806213e-001</left_val>
-            <right_val>-2.0924359560012817e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 4 3 -1.</_>
-                <_>
-                  9 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.3623008579015732e-003</threshold>
-            <left_val>3.4387368708848953e-002</left_val>
-            <right_val>-6.4315831661224365e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 4 3 -1.</_>
-                <_>
-                  7 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.3407022282481194e-003</threshold>
-            <left_val>4.7527570277452469e-002</left_val>
-            <right_val>-5.2763640880584717e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.7040366381406784e-003</threshold>
-            <left_val>6.1033390462398529e-002</left_val>
-            <right_val>-1.1603049933910370e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 4 -1.</_>
-                <_>
-                  4 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6028270125389099e-002</threshold>
-            <left_val>-5.8752918243408203e-001</left_val>
-            <right_val>4.3372269719839096e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0594909638166428e-001</threshold>
-            <left_val>-6.6139537096023560e-001</left_val>
-            <right_val>-1.2790230102837086e-003</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 3 3 -1.</_>
-                <_>
-                  7 5 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.9476720839738846e-002</threshold>
-            <left_val>-8.3381086587905884e-002</left_val>
-            <right_val>3.2143539190292358e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 2 4 4 -1.</_>
-                <_>
-                  13 2 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2502159923315048e-002</threshold>
-            <left_val>9.9471800029277802e-002</left_val>
-            <right_val>-6.8885073065757751e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 1 3 -1.</_>
-                <_>
-                  0 2 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1669840682297945e-003</threshold>
-            <left_val>-3.3657288551330566e-001</left_val>
-            <right_val>6.7130729556083679e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7675988860428333e-003</threshold>
-            <left_val>2.5373768806457520e-001</left_val>
-            <right_val>-5.4118018597364426e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 3 5 -1.</_>
-                <_>
-                  4 0 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.5973610877990723e-003</threshold>
-            <left_val>5.0982888787984848e-002</left_val>
-            <right_val>-3.9950078725814819e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 8 2 -1.</_>
-                <_>
-                  9 2 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.5194750204682350e-003</threshold>
-            <left_val>-5.6820228695869446e-002</left_val>
-            <right_val>9.7085036337375641e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 8 4 -1.</_>
-                <_>
-                  1 0 4 2 2.</_>
-                <_>
-                  5 2 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0232090502977371e-002</threshold>
-            <left_val>2.6110428571701050e-001</left_val>
-            <right_val>-7.0189543068408966e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 10 6 -1.</_>
-                <_>
-                  4 3 10 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9264510273933411e-001</threshold>
-            <left_val>-3.8105361163616180e-002</left_val>
-            <right_val>4.9786558747291565e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 2 2 1 -1.</_>
-                <_>
-                  2 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0531100269872695e-004</threshold>
-            <left_val>1.0181579738855362e-001</left_val>
-            <right_val>-1.9895200431346893e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 1 4 6 -1.</_>
-                <_>
-                  16 1 2 3 2.</_>
-                <_>
-                  14 4 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7167180776596069e-002</threshold>
-            <left_val>1.7047409713268280e-001</left_val>
-            <right_val>-1.1575569957494736e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 4 6 -1.</_>
-                <_>
-                  0 1 2 3 2.</_>
-                <_>
-                  2 4 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6330849379301071e-002</threshold>
-            <left_val>2.3561200499534607e-001</left_val>
-            <right_val>-8.8093422353267670e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 4 2 3 -1.</_>
-                <_>
-                  16 5 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.9368933588266373e-003</threshold>
-            <left_val>3.6905229091644287e-002</left_val>
-            <right_val>-4.8101478815078735e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 1 -1.</_>
-                <_>
-                  8 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.1113299131393433e-003</threshold>
-            <left_val>-3.9816591143608093e-001</left_val>
-            <right_val>4.4077850878238678e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4140089973807335e-002</threshold>
-            <left_val>-4.0721800923347473e-001</left_val>
-            <right_val>4.7490529716014862e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 2 -1.</_>
-                <_>
-                  6 6 1 1 2.</_>
-                <_>
-                  7 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8617640016600490e-003</threshold>
-            <left_val>2.3672190308570862e-001</left_val>
-            <right_val>-7.6820157468318939e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 4 3 3 -1.</_>
-                <_>
-                  15 5 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7797909453511238e-002</threshold>
-            <left_val>-5.5653101205825806e-001</left_val>
-            <right_val>1.8978169187903404e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 5 3 -1.</_>
-                <_>
-                  8 3 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.7056299149990082e-002</threshold>
-            <left_val>1.3742800056934357e-001</left_val>
-            <right_val>-1.2685729563236237e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 9 1 3 -1.</_>
-                <_>
-                  17 10 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.5972482077777386e-003</threshold>
-            <left_val>2.3374689742922783e-002</left_val>
-            <right_val>-3.7989559769630432e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4289989485405385e-004</threshold>
-            <left_val>9.2340193688869476e-002</left_val>
-            <right_val>-1.8222640454769135e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 14 2 -1.</_>
-                <_>
-                  10 0 7 1 2.</_>
-                <_>
-                  3 1 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.7072111628949642e-003</threshold>
-            <left_val>-8.2098759710788727e-002</left_val>
-            <right_val>1.4458109438419342e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 2 3 -1.</_>
-                <_>
-                  0 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.2740625366568565e-003</threshold>
-            <left_val>3.5707078874111176e-002</left_val>
-            <right_val>-4.9938249588012695e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  9 0 9 6 2.</_>
-                <_>
-                  0 6 9 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1985020041465759e-001</threshold>
-            <left_val>2.5246109813451767e-002</left_val>
-            <right_val>-5.8404290676116943e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 3 4 -1.</_>
-                <_>
-                  0 9 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1979590170085430e-002</threshold>
-            <left_val>-4.3877130746841431e-001</left_val>
-            <right_val>3.5344090312719345e-002</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  7 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0584940202534199e-002</threshold>
-            <left_val>2.2189530730247498e-001</left_val>
-            <right_val>-7.5947776436805725e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 4 4 -1.</_>
-                <_>
-                  0 5 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6539521068334579e-002</threshold>
-            <left_val>-7.4320507049560547e-001</left_val>
-            <right_val>2.2532209753990173e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 4 -1.</_>
-                <_>
-                  17 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.2696770764887333e-003</threshold>
-            <left_val>2.5996619835495949e-002</left_val>
-            <right_val>-4.3524068593978882e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 2 2 -1.</_>
-                <_>
-                  5 6 1 1 2.</_>
-                <_>
-                  6 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2490890696644783e-003</threshold>
-            <left_val>2.4717779457569122e-001</left_val>
-            <right_val>-6.4497016370296478e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 4 -1.</_>
-                <_>
-                  17 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9729709252715111e-002</threshold>
-            <left_val>-8.2047319412231445e-001</left_val>
-            <right_val>7.4640130624175072e-003</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 1 4 -1.</_>
-                <_>
-                  0 5 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.4493898749351501e-003</threshold>
-            <left_val>4.1863039135932922e-002</left_val>
-            <right_val>-3.7814080715179443e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 7 3 2 -1.</_>
-                <_>
-                  13 8 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.3664717376232147e-002</threshold>
-            <left_val>-4.8542860895395279e-003</left_val>
-            <right_val>7.5385349988937378e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 7 2 3 -1.</_>
-                <_>
-                  5 8 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.0322289355099201e-003</threshold>
-            <left_val>1.7529049515724182e-001</left_val>
-            <right_val>-9.2345252633094788e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 8 2 2 -1.</_>
-                <_>
-                  15 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.9990269578993320e-003</threshold>
-            <left_val>7.0288032293319702e-002</left_val>
-            <right_val>-1.3759149610996246e-001</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 2 2 -1.</_>
-                <_>
-                  3 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.4922139495611191e-003</threshold>
-            <left_val>-7.2460688650608063e-002</left_val>
-            <right_val>2.6984411478042603e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 10 4 2 -1.</_>
-                <_>
-                  14 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6887518884614110e-004</threshold>
-            <left_val>1.0673040151596069e-001</left_val>
-            <right_val>-1.0224950313568115e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 3 -1.</_>
-                <_>
-                  3 1 12 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4500839635729790e-002</threshold>
-            <left_val>-1.0403750091791153e-001</left_val>
-            <right_val>1.6688880324363708e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 3 9 -1.</_>
-                <_>
-                  13 3 1 9 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5295259207487106e-002</threshold>
-            <left_val>-5.0939851999282837e-001</left_val>
-            <right_val>2.0862380042672157e-002</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 18 6 -1.</_>
-                <_>
-                  0 8 18 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.5677601397037506e-002</threshold>
-            <left_val>-3.8956940174102783e-001</left_val>
-            <right_val>3.8175251334905624e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 10 4 2 -1.</_>
-                <_>
-                  14 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5425739586353302e-002</threshold>
-            <left_val>-3.1342959403991699e-001</left_val>
-            <right_val>1.3558049686253071e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 4 2 -1.</_>
-                <_>
-                  2 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.3960685878992081e-003</threshold>
-            <left_val>2.0714859664440155e-001</left_val>
-            <right_val>-9.0884797275066376e-002</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 10 2 -1.</_>
-                <_>
-                  4 4 10 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.7257710695266724e-002</threshold>
-            <left_val>-3.4004978835582733e-002</left_val>
-            <right_val>4.2590439319610596e-001</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 16 4 -1.</_>
-                <_>
-                  1 2 16 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2978549599647522e-002</threshold>
-            <left_val>-9.6014492213726044e-002</left_val>
-            <right_val>1.6614159941673279e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 2 1 -1.</_>
-                <_>
-                  12 2 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.8808980286121368e-003</threshold>
-            <left_val>2.0307220518589020e-001</left_val>
-            <right_val>-2.9098080471158028e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 3 3 -1.</_>
-                <_>
-                  4 1 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.2321489863097668e-002</threshold>
-            <left_val>5.6583181023597717e-002</left_val>
-            <right_val>-2.9808661341667175e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 2 2 -1.</_>
-                <_>
-                  12 1 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.0069275572896004e-003</threshold>
-            <left_val>-4.5793779194355011e-002</left_val>
-            <right_val>6.0080189257860184e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 2 2 -1.</_>
-                <_>
-                  6 1 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.8184490501880646e-002</threshold>
-            <left_val>3.9265241473913193e-002</left_val>
-            <right_val>-4.3420770764350891e-001</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 12 2 -1.</_>
-                <_>
-                  11 2 6 1 2.</_>
-                <_>
-                  5 3 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2880899943411350e-002</threshold>
-            <left_val>7.1062043309211731e-002</left_val>
-            <right_val>-3.2926250249147415e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 2 12 2 -1.</_>
-                <_>
-                  1 2 6 1 2.</_>
-                <_>
-                  7 3 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7656469717621803e-002</threshold>
-            <left_val>-5.3377009928226471e-002</left_val>
-            <right_val>2.8472688794136047e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 8 1 3 -1.</_>
-                <_>
-                  12 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7241619527339935e-002</threshold>
-            <left_val>1.2728299945592880e-002</left_val>
-            <right_val>-5.9147852659225464e-001</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 8 3 1 -1.</_>
-                <_>
-                  6 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.1344433128833771e-003</threshold>
-            <left_val>-3.9443930983543396e-001</left_val>
-            <right_val>3.5933971405029297e-002</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 2 -1.</_>
-                <_>
-                  8 2 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.2624989077448845e-003</threshold>
-            <left_val>4.1950210928916931e-002</left_val>
-            <right_val>-3.1127980351448059e-001</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 4 -1.</_>
-                <_>
-                  8 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7106670439243317e-002</threshold>
-            <left_val>-4.6345439553260803e-001</left_val>
-            <right_val>3.2157208770513535e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 4 2 -1.</_>
-                <_>
-                  9 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2173170261085033e-003</threshold>
-            <left_val>-3.0107850208878517e-002</left_val>
-            <right_val>1.4784480631351471e-001</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 8 2 1 -1.</_>
-                <_>
-                  5 8 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.0826329067349434e-003</threshold>
-            <left_val>-2.8399410843849182e-001</left_val>
-            <right_val>4.7271709889173508e-002</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 1 2 -1.</_>
-                <_>
-                  14 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.8598020076751709e-002</threshold>
-            <left_val>1.2912260135635734e-003</left_val>
-            <right_val>-8.2174521684646606e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 2 1 -1.</_>
-                <_>
-                  4 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0656929953256622e-004</threshold>
-            <left_val>7.9160809516906738e-002</left_val>
-            <right_val>-1.9015760719776154e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 4 3 4 -1.</_>
-                <_>
-                  12 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2989699654281139e-003</threshold>
-            <left_val>1.4902189373970032e-001</left_val>
-            <right_val>-4.3334830552339554e-002</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 3 2 2 -1.</_>
-                <_>
-                  2 3 1 1 2.</_>
-                <_>
-                  3 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3413479609880596e-004</threshold>
-            <left_val>1.2274789810180664e-001</left_val>
-            <right_val>-1.1754590272903442e-001</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 1 8 -1.</_>
-                <_>
-                  9 1 1 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.0092161893844604e-002</threshold>
-            <left_val>-1.9501920044422150e-001</left_val>
-            <right_val>1.7820900306105614e-002</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 8 1 -1.</_>
-                <_>
-                  9 1 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.0993821620941162e-002</threshold>
-            <left_val>4.8223200440406799e-001</left_val>
-            <right_val>-3.1845889985561371e-002</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 3 -1.</_>
-                <_>
-                  12 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1353549547493458e-002</threshold>
-            <left_val>-2.8713610023260117e-002</left_val>
-            <right_val>1.0261540114879608e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 12 6 -1.</_>
-                <_>
-                  7 8 4 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9425060153007507e-001</threshold>
-            <left_val>-2.1073190495371819e-002</left_val>
-            <right_val>6.6874951124191284e-001</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 6 3 -1.</_>
-                <_>
-                  14 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9247280210256577e-002</threshold>
-            <left_val>-2.3554429411888123e-001</left_val>
-            <right_val>2.3138720542192459e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 6 3 -1.</_>
-                <_>
-                  2 9 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.9638495594263077e-003</threshold>
-            <left_val>-7.8489832580089569e-002</left_val>
-            <right_val>1.8867549300193787e-001</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 7 3 2 -1.</_>
-                <_>
-                  15 7 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3715409915894270e-003</threshold>
-            <left_val>4.1485100984573364e-002</left_val>
-            <right_val>-1.0372100025415421e-001</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 7 2 3 -1.</_>
-                <_>
-                  3 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3743370547890663e-002</threshold>
-            <left_val>-3.9640530943870544e-001</left_val>
-            <right_val>3.4268859773874283e-002</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 3 2 -1.</_>
-                <_>
-                  16 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0030630044639111e-002</threshold>
-            <left_val>2.1527150645852089e-002</left_val>
-            <right_val>-2.5675439834594727e-001</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 3 2 -1.</_>
-                <_>
-                  1 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3138000182807446e-003</threshold>
-            <left_val>1.9897720217704773e-001</left_val>
-            <right_val>-7.1912497282028198e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 6 2 5 -1.</_>
-                <_>
-                  16 6 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5737010873854160e-003</threshold>
-            <left_val>1.0103909671306610e-001</left_val>
-            <right_val>-1.2687060236930847e-001</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 2 5 -1.</_>
-                <_>
-                  1 6 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6109479889273643e-003</threshold>
-            <left_val>-5.2193351089954376e-002</left_val>
-            <right_val>3.1577721238136292e-001</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 9 2 2 -1.</_>
-                <_>
-                  16 10 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5778529923409224e-003</threshold>
-            <left_val>-1.9565540552139282e-001</left_val>
-            <right_val>3.0738929286599159e-002</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 1 -1.</_>
-                <_>
-                  1 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.8134268298745155e-003</threshold>
-            <left_val>-8.0713188648223877e-001</left_val>
-            <right_val>1.7111089080572128e-002</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 9 2 2 -1.</_>
-                <_>
-                  16 10 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9245299994945526e-003</threshold>
-            <left_val>5.1848150789737701e-002</left_val>
-            <right_val>-1.0634920001029968e-001</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 2 2 -1.</_>
-                <_>
-                  0 10 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6619979180395603e-003</threshold>
-            <left_val>-3.1994658708572388e-001</left_val>
-            <right_val>4.2416218668222427e-002</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5030719805508852e-003</threshold>
-            <left_val>9.4091989099979401e-002</left_val>
-            <right_val>-7.0534393191337585e-002</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 3 2 1 -1.</_>
-                <_>
-                  3 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0380429739598185e-004</threshold>
-            <left_val>8.6452230811119080e-002</left_val>
-            <right_val>-1.5703070163726807e-001</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 18 3 -1.</_>
-                <_>
-                  6 1 6 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3336679339408875e-001</threshold>
-            <left_val>-3.6738030612468719e-002</left_val>
-            <right_val>4.2388269305229187e-001</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 1 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4340259153395891e-003</threshold>
-            <left_val>2.0463900268077850e-001</left_val>
-            <right_val>-6.4795367419719696e-002</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 4 4 -1.</_>
-                <_>
-                  8 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3972420282661915e-003</threshold>
-            <left_val>1.0175999999046326e-001</left_val>
-            <right_val>-1.4838589727878571e-001</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 3 2 -1.</_>
-                <_>
-                  7 4 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.9831619709730148e-002</threshold>
-            <left_val>-2.6058611273765564e-001</left_val>
-            <right_val>7.4131652712821960e-002</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 9 3 -1.</_>
-                <_>
-                  9 2 3 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.1318423151969910e-002</threshold>
-            <left_val>-4.0708750486373901e-001</left_val>
-            <right_val>2.2578919306397438e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 2 2 -1.</_>
-                <_>
-                  7 7 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9819168634712696e-003</threshold>
-            <left_val>-1.1497610062360764e-001</left_val>
-            <right_val>1.1413440108299255e-001</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 2 7 4 -1.</_>
-                <_>
-                  11 4 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.9393740296363831e-002</threshold>
-            <left_val>-1.6260729730129242e-001</left_val>
-            <right_val>2.3891910910606384e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 5 6 -1.</_>
-                <_>
-                  0 4 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0838139802217484e-001</threshold>
-            <left_val>-3.6615368723869324e-001</left_val>
-            <right_val>3.3786319196224213e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 6 3 -1.</_>
-                <_>
-                  14 6 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.5659400522708893e-002</threshold>
-            <left_val>-1.9689550623297691e-002</left_val>
-            <right_val>3.2644659280776978e-001</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 6 3 -1.</_>
-                <_>
-                  2 6 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3475780375301838e-002</threshold>
-            <left_val>1.3673679530620575e-001</left_val>
-            <right_val>-9.8038949072360992e-002</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 2 2 -1.</_>
-                <_>
-                  13 9 1 1 2.</_>
-                <_>
-                  12 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1365469981683418e-004</threshold>
-            <left_val>-5.1998078823089600e-002</left_val>
-            <right_val>6.7236803472042084e-002</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 2 2 -1.</_>
-                <_>
-                  4 9 1 1 2.</_>
-                <_>
-                  5 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3144240074325353e-004</threshold>
-            <left_val>-1.0585889965295792e-001</left_val>
-            <right_val>1.2168779969215393e-001</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 12 3 -1.</_>
-                <_>
-                  8 1 4 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2846590019762516e-002</threshold>
-            <left_val>8.2202516496181488e-002</left_val>
-            <right_val>-7.9589501023292542e-002</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 3 4 -1.</_>
-                <_>
-                  4 4 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2092949151992798e-003</threshold>
-            <left_val>9.4016201794147491e-002</left_val>
-            <right_val>-1.3796289265155792e-001</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 12 6 -1.</_>
-                <_>
-                  3 3 12 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6699990257620811e-002</threshold>
-            <left_val>-9.4395473599433899e-002</left_val>
-            <right_val>1.7067569494247437e-001</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 2 -1.</_>
-                <_>
-                  0 3 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7878250926733017e-002</threshold>
-            <left_val>1.4458370208740234e-001</left_val>
-            <right_val>-1.0783910006284714e-001</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 2 1 -1.</_>
-                <_>
-                  12 2 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.7518719434738159e-003</threshold>
-            <left_val>-4.4989299029111862e-002</left_val>
-            <right_val>4.7646138817071915e-002</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 1 2 -1.</_>
-                <_>
-                  6 2 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.1301108002662659e-003</threshold>
-            <left_val>4.4808190315961838e-002</left_val>
-            <right_val>-3.2438778877258301e-001</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 15 3 -1.</_>
-                <_>
-                  7 4 5 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4894459545612335e-001</threshold>
-            <left_val>-3.0193850398063660e-001</left_val>
-            <right_val>2.7400370687246323e-002</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 8 2 4 -1.</_>
-                <_>
-                  8 8 1 2 2.</_>
-                <_>
-                  9 10 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.5494530610740185e-003</threshold>
-            <left_val>-5.3039801120758057e-001</left_val>
-            <right_val>2.3136850446462631e-002</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 6 8 -1.</_>
-                <_>
-                  15 0 3 4 2.</_>
-                <_>
-                  12 4 3 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8778919279575348e-002</threshold>
-            <left_val>-2.6784939691424370e-002</left_val>
-            <right_val>2.1899110078811646e-001</right_val></_></_></trees>
-      <stage_threshold>-1.6442040205001831e+000</stage_threshold>
-      <parent>11</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 13 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1325679719448090e-002</threshold>
-            <left_val>-4.7803491353988647e-001</left_val>
-            <right_val>7.3498201370239258e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 10 4 -1.</_>
-                <_>
-                  4 4 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.9533089399337769e-002</threshold>
-            <left_val>5.5771350860595703e-001</left_val>
-            <right_val>-2.2670570015907288e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 2 2 -1.</_>
-                <_>
-                  7 5 1 1 2.</_>
-                <_>
-                  8 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1314720399677753e-003</threshold>
-            <left_val>4.4743809103965759e-001</left_val>
-            <right_val>-1.3644909858703613e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 7 4 -1.</_>
-                <_>
-                  6 6 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2649870961904526e-002</threshold>
-            <left_val>-1.5226930379867554e-001</left_val>
-            <right_val>7.8735552728176117e-002</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 2 6 -1.</_>
-                <_>
-                  5 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2642489373683929e-001</threshold>
-            <left_val>-4.1502929525449872e-004</left_val>
-            <right_val>-1.0683220214843750e+003</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 3 4 4 -1.</_>
-                <_>
-                  10 3 2 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.6149761676788330e-002</threshold>
-            <left_val>8.4858410060405731e-002</left_val>
-            <right_val>-6.4545206725597382e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 3 2 -1.</_>
-                <_>
-                  5 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6127519346773624e-003</threshold>
-            <left_val>4.4183671474456787e-001</left_val>
-            <right_val>-1.0350040346384048e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 1 -1.</_>
-                <_>
-                  16 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0242169810226187e-004</threshold>
-            <left_val>-9.8213642835617065e-002</left_val>
-            <right_val>1.2914030253887177e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 2 1 -1.</_>
-                <_>
-                  1 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.8429631937760860e-005</threshold>
-            <left_val>1.0027779638767242e-001</left_val>
-            <right_val>-3.8002538681030273e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 8 3 -1.</_>
-                <_>
-                  5 4 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9151799380779266e-002</threshold>
-            <left_val>-7.5300611555576324e-002</left_val>
-            <right_val>4.5866578817367554e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 1 -1.</_>
-                <_>
-                  6 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0838099084794521e-003</threshold>
-            <left_val>5.1005601882934570e-001</left_val>
-            <right_val>-6.4336180686950684e-002</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 8 3 -1.</_>
-                <_>
-                  9 0 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2537680119276047e-002</threshold>
-            <left_val>-4.6181130409240723e-001</left_val>
-            <right_val>3.3831451088190079e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 16 4 -1.</_>
-                <_>
-                  4 0 8 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.7081208825111389e-002</threshold>
-            <left_val>1.6511060297489166e-001</left_val>
-            <right_val>-2.0930479466915131e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 1 4 -1.</_>
-                <_>
-                  9 5 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4256989583373070e-002</threshold>
-            <left_val>1.4572089910507202e-001</left_val>
-            <right_val>-6.4026951789855957e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 4 -1.</_>
-                <_>
-                  5 3 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5033003687858582e-002</threshold>
-            <left_val>5.1746249198913574e-001</left_val>
-            <right_val>-7.6861917972564697e-002</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 2 2 6 -1.</_>
-                <_>
-                  8 4 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.0242659151554108e-002</threshold>
-            <left_val>-1.7024759203195572e-002</left_val>
-            <right_val>2.2390039265155792e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 6 2 -1.</_>
-                <_>
-                  10 4 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.1224708557128906e-002</threshold>
-            <left_val>1.4911690354347229e-001</left_val>
-            <right_val>-2.7958190441131592e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 10 1 2 -1.</_>
-                <_>
-                  12 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.4173839897848666e-005</threshold>
-            <left_val>-2.2882409393787384e-001</left_val>
-            <right_val>8.2659862935543060e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 6 2 -1.</_>
-                <_>
-                  5 4 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0907740332186222e-002</threshold>
-            <left_val>6.5371036529541016e-002</left_val>
-            <right_val>-4.9981170892715454e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 3 16 4 -1.</_>
-                <_>
-                  5 3 8 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6308920979499817e-001</threshold>
-            <left_val>-6.0524332523345947e-001</left_val>
-            <right_val>4.5024640858173370e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 7 4 -1.</_>
-                <_>
-                  0 4 7 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.3864251375198364e-002</threshold>
-            <left_val>-4.8135051131248474e-001</left_val>
-            <right_val>4.9323990941047668e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 10 1 2 -1.</_>
-                <_>
-                  12 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1241710308240727e-004</threshold>
-            <left_val>1.3900199532508850e-001</left_val>
-            <right_val>-4.0958389639854431e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 10 1 2 -1.</_>
-                <_>
-                  5 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.9417651654221117e-005</threshold>
-            <left_val>-2.8291520476341248e-001</left_val>
-            <right_val>9.7753129899501801e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 18 6 -1.</_>
-                <_>
-                  9 6 9 3 2.</_>
-                <_>
-                  0 9 9 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.0392991155385971e-002</threshold>
-            <left_val>6.6282726824283600e-002</left_val>
-            <right_val>-3.1161430478096008e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 2 -1.</_>
-                <_>
-                  0 2 1 1 2.</_>
-                <_>
-                  1 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7815187473315746e-005</threshold>
-            <left_val>1.5816099941730499e-001</left_val>
-            <right_val>-1.4707480370998383e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 14 2 -1.</_>
-                <_>
-                  11 0 7 1 2.</_>
-                <_>
-                  4 1 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0936010181903839e-002</threshold>
-            <left_val>2.6339599490165710e-001</left_val>
-            <right_val>-2.3398019373416901e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  7 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3425219804048538e-002</threshold>
-            <left_val>-8.9827023446559906e-002</left_val>
-            <right_val>2.6492318511009216e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 16 1 -1.</_>
-                <_>
-                  5 10 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3873628824949265e-002</threshold>
-            <left_val>2.8317770361900330e-001</left_val>
-            <right_val>-7.7808901667594910e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 1 4 4 -1.</_>
-                <_>
-                  7 2 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2463210150599480e-002</threshold>
-            <left_val>-1.2371910363435745e-001</left_val>
-            <right_val>1.8724919855594635e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 8 -1.</_>
-                <_>
-                  17 2 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9030779376626015e-002</threshold>
-            <left_val>9.0519478544592857e-003</left_val>
-            <right_val>-4.1493371129035950e-001</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1256829835474491e-002</threshold>
-            <left_val>8.7845213711261749e-002</left_val>
-            <right_val>-2.3316149413585663e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 4 3 -1.</_>
-                <_>
-                  7 7 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5189910307526588e-002</threshold>
-            <left_val>2.9291531443595886e-001</left_val>
-            <right_val>-8.0204613506793976e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 2 2 -1.</_>
-                <_>
-                  4 6 1 1 2.</_>
-                <_>
-                  5 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.1453723143786192e-005</threshold>
-            <left_val>1.5025730431079865e-001</left_val>
-            <right_val>-1.3389849662780762e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 3 -1.</_>
-                <_>
-                  10 6 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7369290813803673e-002</threshold>
-            <left_val>2.1264329552650452e-001</left_val>
-            <right_val>-1.1079180240631104e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 8 -1.</_>
-                <_>
-                  0 2 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.0836751945316792e-003</threshold>
-            <left_val>6.6616423428058624e-002</left_val>
-            <right_val>-3.2809430360794067e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 12 2 -1.</_>
-                <_>
-                  8 2 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8416589125990868e-002</threshold>
-            <left_val>1.0930880159139633e-001</left_val>
-            <right_val>-1.0196469724178314e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 10 -1.</_>
-                <_>
-                  7 2 2 5 2.</_>
-                <_>
-                  9 7 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4164859205484390e-002</threshold>
-            <left_val>6.5767362713813782e-002</left_val>
-            <right_val>-3.2412400841712952e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 7 2 2 -1.</_>
-                <_>
-                  13 7 1 1 2.</_>
-                <_>
-                  12 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.7694352259859443e-005</threshold>
-            <left_val>1.1597049981355667e-001</left_val>
-            <right_val>-1.1484769731760025e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 16 3 -1.</_>
-                <_>
-                  1 1 16 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7230460196733475e-002</threshold>
-            <left_val>2.6190671324729919e-001</left_val>
-            <right_val>-7.0017747581005096e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 3 -1.</_>
-                <_>
-                  9 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.9280352219939232e-003</threshold>
-            <left_val>4.4160388410091400e-002</left_val>
-            <right_val>-3.5706248879432678e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 1 3 -1.</_>
-                <_>
-                  8 5 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.9761910438537598e-002</threshold>
-            <left_val>-2.6648679748177528e-002</left_val>
-            <right_val>7.6121932268142700e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 7 3 2 -1.</_>
-                <_>
-                  14 7 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.3093869909644127e-002</threshold>
-            <left_val>1.1457229964435101e-002</left_val>
-            <right_val>-4.8356440663337708e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 7 2 3 -1.</_>
-                <_>
-                  4 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5517040155827999e-002</threshold>
-            <left_val>2.8549319133162498e-002</left_val>
-            <right_val>-5.8977079391479492e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 2 -1.</_>
-                <_>
-                  17 1 1 1 2.</_>
-                <_>
-                  16 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.1348258138168603e-005</threshold>
-            <left_val>6.3839852809906006e-002</left_val>
-            <right_val>-6.8278312683105469e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 2 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_>
-                <_>
-                  1 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.5886833150871098e-005</threshold>
-            <left_val>1.3642780482769012e-001</left_val>
-            <right_val>-1.2203469872474670e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 1 -1.</_>
-                <_>
-                  16 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8461649536620826e-005</threshold>
-            <left_val>9.5480233430862427e-002</left_val>
-            <right_val>-8.4051437675952911e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 1 -1.</_>
-                <_>
-                  1 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.5865067376289517e-005</threshold>
-            <left_val>8.1667177379131317e-002</left_val>
-            <right_val>-2.2435750067234039e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 3 -1.</_>
-                <_>
-                  10 6 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8028339371085167e-002</threshold>
-            <left_val>-4.2098421603441238e-002</left_val>
-            <right_val>2.6320070028305054e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  7 6 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1890250258147717e-002</threshold>
-            <left_val>1.8222090601921082e-001</left_val>
-            <right_val>-9.6351742744445801e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 2 1 -1.</_>
-                <_>
-                  9 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.6375443313736469e-005</threshold>
-            <left_val>-3.6046039313077927e-002</left_val>
-            <right_val>6.4947687089443207e-002</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 3 3 -1.</_>
-                <_>
-                  8 5 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7775431349873543e-003</threshold>
-            <left_val>1.3119940459728241e-001</left_val>
-            <right_val>-1.3694000244140625e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 6 4 -1.</_>
-                <_>
-                  11 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0142890512943268e-002</threshold>
-            <left_val>4.9725331366062164e-002</left_val>
-            <right_val>-2.0494620501995087e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 1 3 -1.</_>
-                <_>
-                  5 7 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.0250670649111271e-003</threshold>
-            <left_val>1.8385030329227448e-001</left_val>
-            <right_val>-8.9287042617797852e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 4 2 -1.</_>
-                <_>
-                  11 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2001518197357655e-003</threshold>
-            <left_val>2.7691179513931274e-001</left_val>
-            <right_val>-6.5970212221145630e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 2 12 2 -1.</_>
-                <_>
-                  5 2 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6988459974527359e-002</threshold>
-            <left_val>1.0599619895219803e-001</left_val>
-            <right_val>-1.7461700737476349e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 4 -1.</_>
-                <_>
-                  3 1 12 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6818750649690628e-002</threshold>
-            <left_val>-1.3084490597248077e-001</left_val>
-            <right_val>1.3686789572238922e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 1 3 -1.</_>
-                <_>
-                  4 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.4254389405250549e-003</threshold>
-            <left_val>3.5684291273355484e-002</left_val>
-            <right_val>-4.7307041287422180e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 3 -1.</_>
-                <_>
-                  6 2 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7591860145330429e-002</threshold>
-            <left_val>2.8785240650177002e-001</left_val>
-            <right_val>-6.0098338872194290e-002</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 3 3 -1.</_>
-                <_>
-                  3 1 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6125669702887535e-002</threshold>
-            <left_val>-3.0210059881210327e-001</left_val>
-            <right_val>5.8409459888935089e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 7 3 4 -1.</_>
-                <_>
-                  16 7 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0552899688482285e-002</threshold>
-            <left_val>4.2291129939258099e-003</left_val>
-            <right_val>-2.4721190333366394e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 3 4 -1.</_>
-                <_>
-                  1 5 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0046569630503654e-002</threshold>
-            <left_val>2.7138590812683105e-001</left_val>
-            <right_val>-6.3029937446117401e-002</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 4 2 -1.</_>
-                <_>
-                  9 1 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.2175520472228527e-003</threshold>
-            <left_val>-2.5999858975410461e-001</left_val>
-            <right_val>2.3320039734244347e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 4 2 -1.</_>
-                <_>
-                  7 1 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.3304775655269623e-003</threshold>
-            <left_val>-5.2186262607574463e-001</left_val>
-            <right_val>2.9735490679740906e-002</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 7 3 2 -1.</_>
-                <_>
-                  10 7 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.0984921157360077e-002</threshold>
-            <left_val>-2.2182470560073853e-001</left_val>
-            <right_val>5.1118140108883381e-003</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.7245599776506424e-002</threshold>
-            <left_val>3.0876399949193001e-002</left_val>
-            <right_val>-5.1215821504592896e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 2 1 -1.</_>
-                <_>
-                  11 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0668000690639019e-003</threshold>
-            <left_val>-4.3708208948373795e-002</left_val>
-            <right_val>2.7001819014549255e-001</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 3 1 -1.</_>
-                <_>
-                  5 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.3389411631505936e-005</threshold>
-            <left_val>1.4854280650615692e-001</left_val>
-            <right_val>-1.1542809754610062e-001</right_val></_></_></trees>
-      <stage_threshold>-1.5643759965896606e+000</stage_threshold>
-      <parent>12</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 14 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.3494018763303757e-003</threshold>
-            <left_val>-5.3271728754043579e-001</left_val>
-            <right_val>7.3268449306488037e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 11 4 -1.</_>
-                <_>
-                  6 2 11 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.4267958253622055e-002</threshold>
-            <left_val>-2.5425639748573303e-001</left_val>
-            <right_val>5.1729089021682739e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 8 3 -1.</_>
-                <_>
-                  5 4 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9879079908132553e-002</threshold>
-            <left_val>6.3676887750625610e-001</left_val>
-            <right_val>-1.6440890729427338e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 3 -1.</_>
-                <_>
-                  10 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2493499554693699e-002</threshold>
-            <left_val>6.1780160665512085e-001</left_val>
-            <right_val>-1.5069130063056946e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  7 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.4682415947318077e-003</threshold>
-            <left_val>-1.4532479643821716e-001</left_val>
-            <right_val>6.0617917776107788e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 10 3 -1.</_>
-                <_>
-                  4 3 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7246329933404922e-002</threshold>
-            <left_val>5.3559631109237671e-001</left_val>
-            <right_val>-8.9151263236999512e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 8 3 -1.</_>
-                <_>
-                  5 5 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6648440659046173e-002</threshold>
-            <left_val>6.2180757522583008e-001</left_val>
-            <right_val>-8.5310757160186768e-002</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 7 4 3 -1.</_>
-                <_>
-                  7 8 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4102620072662830e-002</threshold>
-            <left_val>-9.3592159450054169e-002</left_val>
-            <right_val>4.4376650452613831e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 8 7 -1.</_>
-                <_>
-                  9 3 4 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3257868885993958e-001</threshold>
-            <left_val>-1.2685759924352169e-002</left_val>
-            <right_val>-8.2546881103515625e+002</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 2 -1.</_>
-                <_>
-                  12 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.9063739180564880e-003</threshold>
-            <left_val>-1.0738559812307358e-001</left_val>
-            <right_val>5.0298547744750977e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.3582093939185143e-003</threshold>
-            <left_val>1.5422430634498596e-001</left_val>
-            <right_val>-3.5790690779685974e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 3 -1.</_>
-                <_>
-                  7 3 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2779511064291000e-002</threshold>
-            <left_val>6.4060282707214355e-001</left_val>
-            <right_val>-1.4030179940164089e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 3 -1.</_>
-                <_>
-                  6 2 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0835140720009804e-002</threshold>
-            <left_val>5.4712289571762085e-001</left_val>
-            <right_val>-7.4879899621009827e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 2 1 -1.</_>
-                <_>
-                  8 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.1647479267558083e-005</threshold>
-            <left_val>1.8039730191230774e-001</left_val>
-            <right_val>-2.2248619794845581e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 4 3 -1.</_>
-                <_>
-                  7 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.1204670667648315e-002</threshold>
-            <left_val>2.9656040668487549e-001</left_val>
-            <right_val>-1.2957809865474701e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 3 2 -1.</_>
-                <_>
-                  13 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7422020435333252e-002</threshold>
-            <left_val>3.9275988936424255e-001</left_val>
-            <right_val>-6.5897516906261444e-002</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 5 6 3 -1.</_>
-                <_>
-                  3 5 2 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2536820024251938e-002</threshold>
-            <left_val>2.0158059895038605e-001</left_val>
-            <right_val>-1.9292819499969482e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 2 1 -1.</_>
-                <_>
-                  12 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.8037480155471712e-005</threshold>
-            <left_val>1.2082680314779282e-001</left_val>
-            <right_val>-1.4217889308929443e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 9 12 -1.</_>
-                <_>
-                  4 6 9 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.5716922283172607e-002</threshold>
-            <left_val>-3.0140811204910278e-001</left_val>
-            <right_val>1.0884209722280502e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 10 2 2 -1.</_>
-                <_>
-                  14 10 1 1 2.</_>
-                <_>
-                  13 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.8559301174245775e-005</threshold>
-            <left_val>-1.1485870182514191e-001</left_val>
-            <right_val>1.2233419716358185e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 10 2 2 -1.</_>
-                <_>
-                  3 10 1 1 2.</_>
-                <_>
-                  4 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.6443768951576203e-005</threshold>
-            <left_val>-1.6948090493679047e-001</left_val>
-            <right_val>1.8788060545921326e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 10 2 2 -1.</_>
-                <_>
-                  14 10 1 1 2.</_>
-                <_>
-                  13 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1368581150891259e-005</threshold>
-            <left_val>2.4010670185089111e-001</left_val>
-            <right_val>-1.4868290722370148e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 1 -1.</_>
-                <_>
-                  6 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.4830620065331459e-003</threshold>
-            <left_val>6.1856138706207275e-001</left_val>
-            <right_val>-4.8334259539842606e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 2 -1.</_>
-                <_>
-                  12 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7779540270566940e-002</threshold>
-            <left_val>-2.6616660878062248e-002</left_val>
-            <right_val>4.9245241284370422e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 4 2 -1.</_>
-                <_>
-                  0 11 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0962300263345242e-003</threshold>
-            <left_val>-5.4207402467727661e-001</left_val>
-            <right_val>5.9048470109701157e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 2 -1.</_>
-                <_>
-                  12 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6451759263873100e-002</threshold>
-            <left_val>7.6350831985473633e-001</left_val>
-            <right_val>-2.5473199784755707e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 11 16 1 -1.</_>
-                <_>
-                  9 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2241640836000443e-002</threshold>
-            <left_val>-3.6452740430831909e-001</left_val>
-            <right_val>8.6116299033164978e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 10 2 1 -1.</_>
-                <_>
-                  11 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7459589764475822e-003</threshold>
-            <left_val>-2.4589340388774872e-001</left_val>
-            <right_val>3.3040750771760941e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 10 2 1 -1.</_>
-                <_>
-                  6 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0295468352269381e-005</threshold>
-            <left_val>2.0092859864234924e-001</left_val>
-            <right_val>-2.0132540166378021e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 2 -1.</_>
-                <_>
-                  12 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5473738573491573e-003</threshold>
-            <left_val>2.1073690056800842e-001</left_val>
-            <right_val>-4.5514870434999466e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 3 2 -1.</_>
-                <_>
-                  5 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7957709282636642e-003</threshold>
-            <left_val>3.0283540487289429e-001</left_val>
-            <right_val>-9.5874093472957611e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 4 1 4 -1.</_>
-                <_>
-                  10 5 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.6188150085508823e-003</threshold>
-            <left_val>7.9740211367607117e-002</left_val>
-            <right_val>-1.6595689952373505e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 2 -1.</_>
-                <_>
-                  0 0 1 1 2.</_>
-                <_>
-                  1 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5857861550757661e-005</threshold>
-            <left_val>1.7260129749774933e-001</left_val>
-            <right_val>-1.6178980469703674e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 3 2 2 -1.</_>
-                <_>
-                  17 3 1 1 2.</_>
-                <_>
-                  16 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.8166970373131335e-005</threshold>
-            <left_val>1.4548319578170776e-001</left_val>
-            <right_val>-1.6439950466156006e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 7 2 3 -1.</_>
-                <_>
-                  8 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.2052710088901222e-005</threshold>
-            <left_val>8.3391591906547546e-002</left_val>
-            <right_val>-3.4013390541076660e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 2 1 -1.</_>
-                <_>
-                  8 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.5986729674041271e-005</threshold>
-            <left_val>-1.2061770260334015e-001</left_val>
-            <right_val>2.4329949915409088e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 1 -1.</_>
-                <_>
-                  1 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6646920964121819e-005</threshold>
-            <left_val>1.0119310021400452e-001</left_val>
-            <right_val>-3.0405890941619873e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 3 2 2 -1.</_>
-                <_>
-                  17 3 1 1 2.</_>
-                <_>
-                  16 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.7388079110532999e-005</threshold>
-            <left_val>-1.1716579645872116e-001</left_val>
-            <right_val>2.1742169559001923e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 2 -1.</_>
-                <_>
-                  0 3 1 1 2.</_>
-                <_>
-                  1 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6242319513112307e-005</threshold>
-            <left_val>1.8022020161151886e-001</left_val>
-            <right_val>-1.5529049932956696e-001</right_val></_></_></trees>
-      <stage_threshold>-1.6128469705581665e+000</stage_threshold>
-      <parent>13</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 15 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6110079362988472e-002</threshold>
-            <left_val>-4.1071599721908569e-001</left_val>
-            <right_val>7.7589380741119385e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 4 3 -1.</_>
-                <_>
-                  7 4 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5305269286036491e-002</threshold>
-            <left_val>6.6618782281875610e-001</left_val>
-            <right_val>-1.5485580265522003e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 6 2 -1.</_>
-                <_>
-                  8 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5699760764837265e-002</threshold>
-            <left_val>3.3241620659828186e-001</left_val>
-            <right_val>-2.3156909644603729e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7776989415287971e-003</threshold>
-            <left_val>4.1196781396865845e-001</left_val>
-            <right_val>-1.3117870688438416e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 1 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.1719085574150085e-003</threshold>
-            <left_val>-6.9755800068378448e-002</left_val>
-            <right_val>6.4852428436279297e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 8 3 -1.</_>
-                <_>
-                  5 5 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5088421106338501e-002</threshold>
-            <left_val>6.1390417814254761e-001</left_val>
-            <right_val>-5.9815850108861923e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 9 10 -1.</_>
-                <_>
-                  4 0 3 10 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0464339703321457e-001</threshold>
-            <left_val>9.0163193643093109e-002</left_val>
-            <right_val>-4.5573940873146057e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 3 -1.</_>
-                <_>
-                  6 3 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1685851514339447e-002</threshold>
-            <left_val>5.5533021688461304e-001</left_val>
-            <right_val>-6.2855109572410583e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 2 1 -1.</_>
-                <_>
-                  6 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.0294553190469742e-003</threshold>
-            <left_val>6.7273747920989990e-001</left_val>
-            <right_val>-4.3747950345277786e-002</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 2 1 -1.</_>
-                <_>
-                  12 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4209800176322460e-003</threshold>
-            <left_val>4.0785990655422211e-002</left_val>
-            <right_val>-3.1722348928451538e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 4 3 -1.</_>
-                <_>
-                  4 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.1889061257243156e-003</threshold>
-            <left_val>2.6846039295196533e-001</left_val>
-            <right_val>-1.2580759823322296e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 4 3 -1.</_>
-                <_>
-                  9 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.3489009886980057e-003</threshold>
-            <left_val>5.0966899842023849e-002</left_val>
-            <right_val>-3.9423060417175293e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 3 -1.</_>
-                <_>
-                  7 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.9262371398508549e-003</threshold>
-            <left_val>6.0307100415229797e-002</left_val>
-            <right_val>-5.6436121463775635e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 7 8 3 -1.</_>
-                <_>
-                  5 8 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3801159113645554e-002</threshold>
-            <left_val>-9.9566370248794556e-002</left_val>
-            <right_val>3.3963540196418762e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 2 1 -1.</_>
-                <_>
-                  2 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1956758650485426e-005</threshold>
-            <left_val>9.3987770378589630e-002</left_val>
-            <right_val>-3.0422720313072205e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 10 6 -1.</_>
-                <_>
-                  13 4 5 3 2.</_>
-                <_>
-                  8 7 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3572919368743896e-001</threshold>
-            <left_val>2.9968850314617157e-002</left_val>
-            <right_val>-4.2673060297966003e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 6 2 -1.</_>
-                <_>
-                  7 5 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1524201147258282e-003</threshold>
-            <left_val>8.3092503249645233e-002</left_val>
-            <right_val>-3.2027548551559448e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 7 1 4 -1.</_>
-                <_>
-                  12 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2321950644254684e-002</threshold>
-            <left_val>3.8670408725738525e-001</left_val>
-            <right_val>-2.8302310965955257e-003</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 2 2 -1.</_>
-                <_>
-                  0 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3701520878821611e-003</threshold>
-            <left_val>-5.4070180654525757e-001</left_val>
-            <right_val>4.8329830169677734e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 8 1 4 -1.</_>
-                <_>
-                  17 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8812189120799303e-003</threshold>
-            <left_val>-4.1134339570999146e-001</left_val>
-            <right_val>5.0348810851573944e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 10 3 -1.</_>
-                <_>
-                  4 2 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3026181161403656e-002</threshold>
-            <left_val>-9.1724671423435211e-002</left_val>
-            <right_val>2.7849179506301880e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 8 4 -1.</_>
-                <_>
-                  5 1 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.8657391220331192e-002</threshold>
-            <left_val>5.2620977163314819e-001</left_val>
-            <right_val>-4.8676058650016785e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 1 4 -1.</_>
-                <_>
-                  0 9 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7647879216820002e-003</threshold>
-            <left_val>-4.5844191312789917e-001</left_val>
-            <right_val>6.4317077398300171e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  6 1 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0504679530858994e-002</threshold>
-            <left_val>-9.4328112900257111e-002</left_val>
-            <right_val>2.9794049263000488e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 2 1 -1.</_>
-                <_>
-                  5 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6554280086420476e-005</threshold>
-            <left_val>1.2746079266071320e-001</left_val>
-            <right_val>-1.9186210632324219e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 1 2 -1.</_>
-                <_>
-                  13 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.4470614567399025e-003</threshold>
-            <left_val>9.2077916488051414e-003</left_val>
-            <right_val>-5.2767378091812134e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 2 1 -1.</_>
-                <_>
-                  5 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.6520130448043346e-003</threshold>
-            <left_val>5.3146030753850937e-002</left_val>
-            <right_val>-4.0580609440803528e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 3 3 -1.</_>
-                <_>
-                  16 7 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9722340628504753e-002</threshold>
-            <left_val>2.8976440429687500e-001</left_val>
-            <right_val>-5.8757949620485306e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 3 3 -1.</_>
-                <_>
-                  2 7 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5641599893569946e-002</threshold>
-            <left_val>-8.5858047008514404e-002</left_val>
-            <right_val>2.7374029159545898e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 2 -1.</_>
-                <_>
-                  16 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2213470414280891e-002</threshold>
-            <left_val>-1.8302009999752045e-001</left_val>
-            <right_val>2.5141900405287743e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 3 -1.</_>
-                <_>
-                  2 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.5025829933583736e-003</threshold>
-            <left_val>7.0544131100177765e-002</left_val>
-            <right_val>-3.0967020988464355e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 2 4 -1.</_>
-                <_>
-                  11 5 1 2 2.</_>
-                <_>
-                  10 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.9423412680625916e-003</threshold>
-            <left_val>3.8959950208663940e-001</left_val>
-            <right_val>-4.3679900467395782e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 2 4 -1.</_>
-                <_>
-                  6 5 1 2 2.</_>
-                <_>
-                  7 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.4905028343200684e-003</threshold>
-            <left_val>-7.2534352540969849e-002</left_val>
-            <right_val>3.3101171255111694e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 4 2 -1.</_>
-                <_>
-                  11 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4299919828772545e-002</threshold>
-            <left_val>5.9872722625732422e-001</left_val>
-            <right_val>-2.7945769950747490e-002</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 4 3 -1.</_>
-                <_>
-                  8 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.7005599848926067e-003</threshold>
-            <left_val>4.8855118453502655e-002</left_val>
-            <right_val>-5.2919381856918335e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 3 3 -1.</_>
-                <_>
-                  16 6 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9664511568844318e-003</threshold>
-            <left_val>-4.3123081326484680e-002</left_val>
-            <right_val>1.0984309762716293e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 3 3 -1.</_>
-                <_>
-                  1 6 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.5540919788181782e-003</threshold>
-            <left_val>3.0421760678291321e-001</left_val>
-            <right_val>-7.2253189980983734e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 11 3 1 -1.</_>
-                <_>
-                  9 11 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7034100387245417e-003</threshold>
-            <left_val>-5.4518002271652222e-001</left_val>
-            <right_val>3.5437230020761490e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 11 3 1 -1.</_>
-                <_>
-                  8 11 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5188990402966738e-003</threshold>
-            <left_val>-4.5737591385841370e-001</left_val>
-            <right_val>5.5983148515224457e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 10 6 -1.</_>
-                <_>
-                  13 4 5 3 2.</_>
-                <_>
-                  8 7 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0579920709133148e-001</threshold>
-            <left_val>-2.7724468964152038e-004</left_val>
-            <right_val>-6.6996318101882935e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 8 10 3 -1.</_>
-                <_>
-                  4 9 10 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9303770512342453e-002</threshold>
-            <left_val>-5.6496240198612213e-002</left_val>
-            <right_val>3.5997670888900757e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 10 6 -1.</_>
-                <_>
-                  13 4 5 3 2.</_>
-                <_>
-                  8 7 5 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.9648310542106628e-002</threshold>
-            <left_val>3.1737551093101501e-002</left_val>
-            <right_val>-6.8570420145988464e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 11 16 1 -1.</_>
-                <_>
-                  9 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2670730501413345e-002</threshold>
-            <left_val>-5.1828289031982422e-001</left_val>
-            <right_val>3.7313610315322876e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 4 -1.</_>
-                <_>
-                  14 7 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.3184129297733307e-002</threshold>
-            <left_val>-3.8423359394073486e-002</left_val>
-            <right_val>1.3666149973869324e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 18 10 -1.</_>
-                <_>
-                  0 2 9 5 2.</_>
-                <_>
-                  9 7 9 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1404110789299011e-001</threshold>
-            <left_val>3.7239000201225281e-002</left_val>
-            <right_val>-6.1689531803131104e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 12 3 -1.</_>
-                <_>
-                  6 5 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1121670156717300e-001</threshold>
-            <left_val>-3.4866338968276978e-001</left_val>
-            <right_val>5.0600431859493256e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 1 -1.</_>
-                <_>
-                  10 4 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2414909899234772e-002</threshold>
-            <left_val>1.6056859493255615e-001</left_val>
-            <right_val>-1.3499259948730469e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 4 -1.</_>
-                <_>
-                  11 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0976280085742474e-002</threshold>
-            <left_val>4.0659919381141663e-001</left_val>
-            <right_val>-7.1035951375961304e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 4 -1.</_>
-                <_>
-                  6 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0068650357425213e-002</threshold>
-            <left_val>3.9899739623069763e-001</left_val>
-            <right_val>-4.7854758799076080e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 10 2 1 -1.</_>
-                <_>
-                  12 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.4595100916922092e-005</threshold>
-            <left_val>1.2453170120716095e-001</left_val>
-            <right_val>-1.5943150222301483e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 3 -1.</_>
-                <_>
-                  0 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2231438457965851e-003</threshold>
-            <left_val>5.1684871315956116e-002</left_val>
-            <right_val>-3.7264791131019592e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 9 6 -1.</_>
-                <_>
-                  9 3 9 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1584289669990540e-001</threshold>
-            <left_val>-5.6410568952560425e-001</left_val>
-            <right_val>1.6620539128780365e-002</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 8 2 2 -1.</_>
-                <_>
-                  8 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.9251379095949233e-005</threshold>
-            <left_val>6.4569346606731415e-002</left_val>
-            <right_val>-2.6977449655532837e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 8 2 2 -1.</_>
-                <_>
-                  11 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5871439129114151e-002</threshold>
-            <left_val>-1.0536020249128342e-001</left_val>
-            <right_val>2.2641019895672798e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 3 -1.</_>
-                <_>
-                  4 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4802659861743450e-002</threshold>
-            <left_val>3.0771070718765259e-001</left_val>
-            <right_val>-5.6442748755216599e-002</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 8 2 2 -1.</_>
-                <_>
-                  11 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.2432001868728548e-005</threshold>
-            <left_val>-1.3522149994969368e-002</left_val>
-            <right_val>6.4676657319068909e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 1 2 -1.</_>
-                <_>
-                  0 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6458349786698818e-003</threshold>
-            <left_val>-3.7946069240570068e-001</left_val>
-            <right_val>4.3726790696382523e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 4 6 -1.</_>
-                <_>
-                  10 4 4 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2038329988718033e-001</threshold>
-            <left_val>8.3884507417678833e-002</left_val>
-            <right_val>-5.7846531271934509e-002</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 4 -1.</_>
-                <_>
-                  8 4 2 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5285080671310425e-001</threshold>
-            <left_val>-4.1195228695869446e-001</left_val>
-            <right_val>4.1427899152040482e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 3 4 -1.</_>
-                <_>
-                  10 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4037640541791916e-002</threshold>
-            <left_val>3.6811178922653198e-001</left_val>
-            <right_val>-2.8063010424375534e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 4 2 -1.</_>
-                <_>
-                  0 10 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0715710967779160e-003</threshold>
-            <left_val>-4.3527451157569885e-001</left_val>
-            <right_val>3.7839580327272415e-002</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 11 2 1 -1.</_>
-                <_>
-                  14 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2647699806839228e-003</threshold>
-            <left_val>3.3513750880956650e-002</left_val>
-            <right_val>-3.1196358799934387e-001</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 11 2 1 -1.</_>
-                <_>
-                  3 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8620659577427432e-005</threshold>
-            <left_val>-1.2641629576683044e-001</left_val>
-            <right_val>1.4573280513286591e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 3 4 6 -1.</_>
-                <_>
-                  14 5 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5032389760017395e-001</threshold>
-            <left_val>-5.1674288511276245e-001</left_val>
-            <right_val>6.3420650549232960e-003</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 4 6 -1.</_>
-                <_>
-                  0 5 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0515840258449316e-003</threshold>
-            <left_val>7.3436759412288666e-002</left_val>
-            <right_val>-2.2326730191707611e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 3 -1.</_>
-                <_>
-                  10 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2594460323452950e-003</threshold>
-            <left_val>1.0833080112934113e-001</left_val>
-            <right_val>-4.8997879028320313e-002</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 14 2 -1.</_>
-                <_>
-                  0 0 7 1 2.</_>
-                <_>
-                  7 1 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9374769181013107e-002</threshold>
-            <left_val>2.9532751441001892e-001</left_val>
-            <right_val>-5.0250150263309479e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 2 1 -1.</_>
-                <_>
-                  9 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1956758650485426e-005</threshold>
-            <left_val>8.0195806920528412e-002</left_val>
-            <right_val>-1.0686949640512466e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 5 3 1 -1.</_>
-                <_>
-                  8 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.4468329977244139e-003</threshold>
-            <left_val>1.2324280291795731e-001</left_val>
-            <right_val>-1.1800339818000793e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 4 2 -1.</_>
-                <_>
-                  11 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0574549213051796e-002</threshold>
-            <left_val>-2.3928789421916008e-002</left_val>
-            <right_val>2.7955460548400879e-001</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6083529219031334e-002</threshold>
-            <left_val>6.2995746731758118e-002</left_val>
-            <right_val>-3.2501700520515442e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 9 -1.</_>
-                <_>
-                  6 0 6 9 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5888260304927826e-001</threshold>
-            <left_val>-1.9509589672088623e-001</left_val>
-            <right_val>8.4130212664604187e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 3 -1.</_>
-                <_>
-                  7 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0786239989101887e-002</threshold>
-            <left_val>3.0075341463088989e-001</left_val>
-            <right_val>-5.3811751306056976e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 5 -1.</_>
-                <_>
-                  16 7 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0971349992323667e-005</threshold>
-            <left_val>1.0555840283632278e-001</left_val>
-            <right_val>-1.8500010669231415e-001</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 3 4 -1.</_>
-                <_>
-                  5 1 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.0255280658602715e-002</threshold>
-            <left_val>5.4217409342527390e-002</left_val>
-            <right_val>-2.6162931323051453e-001</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 2 1 4 -1.</_>
-                <_>
-                  11 2 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.5595720410346985e-002</threshold>
-            <left_val>-2.1169850602746010e-002</left_val>
-            <right_val>1.7655989527702332e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 1 -1.</_>
-                <_>
-                  7 2 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4993960503488779e-003</threshold>
-            <left_val>-2.4702130258083344e-001</left_val>
-            <right_val>6.4111799001693726e-002</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 10 4 -1.</_>
-                <_>
-                  4 2 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.1197629421949387e-002</threshold>
-            <left_val>3.8098621368408203e-001</left_val>
-            <right_val>-4.3534200638532639e-002</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 2 5 -1.</_>
-                <_>
-                  1 7 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2308140285313129e-002</threshold>
-            <left_val>2.2999510169029236e-001</left_val>
-            <right_val>-6.8426601588726044e-002</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 8 2 2 -1.</_>
-                <_>
-                  12 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.3125670850276947e-002</threshold>
-            <left_val>7.3915729299187660e-003</left_val>
-            <right_val>-8.1511551141738892e-001</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 8 2 2 -1.</_>
-                <_>
-                  6 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0254840366542339e-002</threshold>
-            <left_val>-2.0483459532260895e-001</left_val>
-            <right_val>7.4748978018760681e-002</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 3 5 -1.</_>
-                <_>
-                  16 6 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6489239409565926e-002</threshold>
-            <left_val>-1.0638999752700329e-002</left_val>
-            <right_val>1.5904539823532104e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 2 2 -1.</_>
-                <_>
-                  1 10 1 1 2.</_>
-                <_>
-                  2 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.6443768951576203e-005</threshold>
-            <left_val>-1.2445150315761566e-001</left_val>
-            <right_val>1.2339290231466293e-001</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 2 2 -1.</_>
-                <_>
-                  12 5 1 1 2.</_>
-                <_>
-                  11 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6345820408314466e-003</threshold>
-            <left_val>3.3572021126747131e-001</left_val>
-            <right_val>-5.3786080330610275e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 11 4 1 -1.</_>
-                <_>
-                  6 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2814682237803936e-003</threshold>
-            <left_val>-4.0974819660186768e-001</left_val>
-            <right_val>3.8746099919080734e-002</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 2 2 -1.</_>
-                <_>
-                  12 5 1 1 2.</_>
-                <_>
-                  11 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.5832538958638906e-003</threshold>
-            <left_val>-7.4852287769317627e-002</left_val>
-            <right_val>3.2739511132240295e-001</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 2 1 -1.</_>
-                <_>
-                  1 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4718719467055053e-004</threshold>
-            <left_val>6.8306617438793182e-002</left_val>
-            <right_val>-2.0809960365295410e-001</right_val></_></_></trees>
-      <stage_threshold>-1.6440550088882446e+000</stage_threshold>
-      <parent>14</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 16 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9498139619827271e-002</threshold>
-            <left_val>-3.3759370446205139e-001</left_val>
-            <right_val>6.7766612768173218e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 4 3 -1.</_>
-                <_>
-                  7 4 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4336470067501068e-002</threshold>
-            <left_val>6.9824808835983276e-001</left_val>
-            <right_val>-1.3596299290657043e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 3 2 -1.</_>
-                <_>
-                  4 0 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.7922142595052719e-003</threshold>
-            <left_val>8.3390571177005768e-002</left_val>
-            <right_val>-4.1553869843482971e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 2 1 6 -1.</_>
-                <_>
-                  8 4 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.3095659017562866e-002</threshold>
-            <left_val>1.7525289952754974e-001</left_val>
-            <right_val>-3.5272590816020966e-002</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 2 6 1 -1.</_>
-                <_>
-                  10 4 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.7893280386924744e-002</threshold>
-            <left_val>1.7454449832439423e-001</left_val>
-            <right_val>-2.0477719604969025e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 6 4 -1.</_>
-                <_>
-                  9 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9307829216122627e-002</threshold>
-            <left_val>4.0337048470973969e-002</left_val>
-            <right_val>-4.0458971261978149e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 6 4 -1.</_>
-                <_>
-                  6 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3006248995661736e-003</threshold>
-            <left_val>1.0832270234823227e-001</left_val>
-            <right_val>-3.8293439149856567e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9221840240061283e-003</threshold>
-            <left_val>3.0836719274520874e-001</left_val>
-            <right_val>-5.3221769630908966e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 3 4 -1.</_>
-                <_>
-                  3 1 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.2095970101654530e-002</threshold>
-            <left_val>6.8258158862590790e-002</left_val>
-            <right_val>-4.5494788885116577e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 6 3 1 -1.</_>
-                <_>
-                  10 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.8306095674633980e-003</threshold>
-            <left_val>-3.9104040712118149e-002</left_val>
-            <right_val>5.2432292699813843e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 3 1 -1.</_>
-                <_>
-                  7 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1000329628586769e-002</threshold>
-            <left_val>-4.8125259578227997e-002</left_val>
-            <right_val>5.9042930603027344e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 9 4 3 -1.</_>
-                <_>
-                  10 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.3003318607807159e-003</threshold>
-            <left_val>7.7072180807590485e-002</left_val>
-            <right_val>-4.6984028816223145e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 3 -1.</_>
-                <_>
-                  6 3 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0341410785913467e-002</threshold>
-            <left_val>5.3887742757797241e-001</left_val>
-            <right_val>-4.8817768692970276e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 1 -1.</_>
-                <_>
-                  16 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.5519209379563108e-005</threshold>
-            <left_val>-4.8769790679216385e-002</left_val>
-            <right_val>6.1085790395736694e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 2 1 -1.</_>
-                <_>
-                  1 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5766988730756566e-005</threshold>
-            <left_val>8.8775523006916046e-002</left_val>
-            <right_val>-3.1009709835052490e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 4 -1.</_>
-                <_>
-                  10 4 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2121529877185822e-001</threshold>
-            <left_val>-8.7199020385742188e-001</left_val>
-            <right_val>1.9037359743379056e-004</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 3 -1.</_>
-                <_>
-                  8 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0810520276427269e-002</threshold>
-            <left_val>1.2869510054588318e-001</left_val>
-            <right_val>-2.2694960236549377e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 9 4 3 -1.</_>
-                <_>
-                  10 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.5748898088932037e-003</threshold>
-            <left_val>-5.6044650077819824e-001</left_val>
-            <right_val>6.8818382918834686e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 6 5 -1.</_>
-                <_>
-                  4 0 2 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2772360593080521e-002</threshold>
-            <left_val>4.9116428941488266e-002</left_val>
-            <right_val>-4.5276260375976563e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 3 3 6 -1.</_>
-                <_>
-                  16 4 1 6 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.1300768256187439e-002</threshold>
-            <left_val>2.4237060546875000e-001</left_val>
-            <right_val>-6.5867289900779724e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 3 4 -1.</_>
-                <_>
-                  5 1 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.4844119101762772e-002</threshold>
-            <left_val>-4.4477778673171997e-001</left_val>
-            <right_val>5.1829639822244644e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 2 -1.</_>
-                <_>
-                  17 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.5052769817411900e-005</threshold>
-            <left_val>-4.2088508605957031e-002</left_val>
-            <right_val>4.7609008848667145e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5844260342419147e-003</threshold>
-            <left_val>5.6480269879102707e-002</left_val>
-            <right_val>-4.1779080033302307e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  6 1 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6414310559630394e-002</threshold>
-            <left_val>-7.2216093540191650e-002</left_val>
-            <right_val>3.0886408686637878e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  6 1 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4469729512929916e-002</threshold>
-            <left_val>3.4676471352577209e-001</left_val>
-            <right_val>-6.7458316683769226e-002</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 3 -1.</_>
-                <_>
-                  8 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.6515377946197987e-003</threshold>
-            <left_val>6.4198330044746399e-002</left_val>
-            <right_val>-3.5227119922637939e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 8 4 -1.</_>
-                <_>
-                  0 9 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9363719969987869e-002</threshold>
-            <left_val>5.6742910295724869e-002</left_val>
-            <right_val>-3.4612348675727844e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 1 -1.</_>
-                <_>
-                  12 7 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.0357580855488777e-002</threshold>
-            <left_val>-4.8724349588155746e-002</left_val>
-            <right_val>3.8238760828971863e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 1 3 -1.</_>
-                <_>
-                  6 7 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.1647052168846130e-003</threshold>
-            <left_val>2.1022629737854004e-001</left_val>
-            <right_val>-1.0693299770355225e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 7 6 -1.</_>
-                <_>
-                  6 8 7 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4845539815723896e-002</threshold>
-            <left_val>-6.1529231071472168e-001</left_val>
-            <right_val>3.5300489515066147e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 2 1 -1.</_>
-                <_>
-                  6 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.6702024564146996e-003</threshold>
-            <left_val>-4.0551638603210449e-001</left_val>
-            <right_val>4.2726211249828339e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 1 -1.</_>
-                <_>
-                  16 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4502460137009621e-002</threshold>
-            <left_val>-4.2973139882087708e-001</left_val>
-            <right_val>2.6243820786476135e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 1 3 -1.</_>
-                <_>
-                  2 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.6778231151401997e-003</threshold>
-            <left_val>6.6653557121753693e-002</left_val>
-            <right_val>-2.8710830211639404e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 10 -1.</_>
-                <_>
-                  16 0 2 5 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3134600222110748e-001</threshold>
-            <left_val>1.4174330048263073e-002</left_val>
-            <right_val>-1.5358589589595795e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 10 2 -1.</_>
-                <_>
-                  2 0 5 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.3666020333766937e-001</threshold>
-            <left_val>-4.2397919297218323e-001</left_val>
-            <right_val>5.0294190645217896e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 1 2 -1.</_>
-                <_>
-                  12 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.2551309131085873e-003</threshold>
-            <left_val>8.2462644204497337e-003</left_val>
-            <right_val>-3.2001951336860657e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 3 2 -1.</_>
-                <_>
-                  6 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3511019758880138e-002</threshold>
-            <left_val>5.0302737951278687e-001</left_val>
-            <right_val>-3.4302528947591782e-002</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 2 2 -1.</_>
-                <_>
-                  11 6 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3929050415754318e-002</threshold>
-            <left_val>4.3465730547904968e-001</left_val>
-            <right_val>-4.2992260307073593e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 12 3 -1.</_>
-                <_>
-                  5 4 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2819659709930420e-001</threshold>
-            <left_val>-4.8288840055465698e-001</left_val>
-            <right_val>4.2751569300889969e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 1 2 -1.</_>
-                <_>
-                  12 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6732519492506981e-002</threshold>
-            <left_val>-4.3209370970726013e-001</left_val>
-            <right_val>3.1982630025595427e-003</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 2 1 -1.</_>
-                <_>
-                  6 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.0149480551481247e-003</threshold>
-            <left_val>4.4975060969591141e-002</left_val>
-            <right_val>-3.9710980653762817e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 14 2 -1.</_>
-                <_>
-                  11 0 7 1 2.</_>
-                <_>
-                  4 1 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7468000128865242e-003</threshold>
-            <left_val>-4.2383570224046707e-002</left_val>
-            <right_val>9.5026336610317230e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 14 2 -1.</_>
-                <_>
-                  0 0 7 1 2.</_>
-                <_>
-                  7 1 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3763459175825119e-002</threshold>
-            <left_val>-7.2902612388134003e-002</left_val>
-            <right_val>2.4120329320430756e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 6 4 -1.</_>
-                <_>
-                  15 0 3 2 2.</_>
-                <_>
-                  12 2 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5337429940700531e-002</threshold>
-            <left_val>1.2962980568408966e-001</left_val>
-            <right_val>-5.8821711689233780e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 3 -1.</_>
-                <_>
-                  5 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1038820259273052e-002</threshold>
-            <left_val>-3.9287769794464111e-001</left_val>
-            <right_val>4.2961981147527695e-002</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 18 6 -1.</_>
-                <_>
-                  0 4 18 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6639290452003479e-001</threshold>
-            <left_val>-5.7689660787582397e-001</left_val>
-            <right_val>2.6615839451551437e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 12 2 -1.</_>
-                <_>
-                  3 5 12 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5179851353168488e-002</threshold>
-            <left_val>2.5730028748512268e-001</left_val>
-            <right_val>-6.9095030426979065e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 2 -1.</_>
-                <_>
-                  8 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9027519784867764e-003</threshold>
-            <left_val>-4.2040190100669861e-001</left_val>
-            <right_val>4.1919898241758347e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 2 12 3 -1.</_>
-                <_>
-                  5 2 4 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3509289622306824e-002</threshold>
-            <left_val>1.1465229839086533e-001</left_val>
-            <right_val>-1.5128579735755920e-001</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9952589906752110e-003</threshold>
-            <left_val>-2.7340779080986977e-002</left_val>
-            <right_val>2.4642029404640198e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 1 4 -1.</_>
-                <_>
-                  0 4 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.4534540027379990e-003</threshold>
-            <left_val>4.9953348934650421e-002</left_val>
-            <right_val>-3.1069651246070862e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 2 3 -1.</_>
-                <_>
-                  11 5 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2536670081317425e-002</threshold>
-            <left_val>-1.5751969069242477e-002</left_val>
-            <right_val>2.3830600082874298e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 2 6 -1.</_>
-                <_>
-                  5 5 1 3 2.</_>
-                <_>
-                  6 8 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6358969993889332e-003</threshold>
-            <left_val>1.9324310123920441e-001</left_val>
-            <right_val>-8.0604627728462219e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 3 4 4 -1.</_>
-                <_>
-                  14 4 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.2210690677165985e-002</threshold>
-            <left_val>-3.9498311281204224e-001</left_val>
-            <right_val>1.5114610083401203e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 2 -1.</_>
-                <_>
-                  6 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.7369300127029419e-002</threshold>
-            <left_val>-4.9444381147623062e-002</left_val>
-            <right_val>3.1055888533592224e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 3 4 4 -1.</_>
-                <_>
-                  14 4 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8287919703871012e-003</threshold>
-            <left_val>-3.8280609995126724e-002</left_val>
-            <right_val>8.8243007659912109e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 4 4 -1.</_>
-                <_>
-                  0 4 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8313150629401207e-002</threshold>
-            <left_val>-5.6536638736724854e-001</left_val>
-            <right_val>2.8949340805411339e-002</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 4 4 -1.</_>
-                <_>
-                  13 4 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2647269070148468e-002</threshold>
-            <left_val>5.6739021092653275e-002</left_val>
-            <right_val>-1.2499769777059555e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 4 2 -1.</_>
-                <_>
-                  7 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.6736697703599930e-003</threshold>
-            <left_val>-6.2506991624832153e-001</left_val>
-            <right_val>2.3742560297250748e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 3 6 -1.</_>
-                <_>
-                  13 3 1 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8303779661655426e-002</threshold>
-            <left_val>-2.7384009212255478e-002</left_val>
-            <right_val>3.2746648788452148e-001</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 3 3 6 -1.</_>
-                <_>
-                  4 3 1 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3424259852617979e-003</threshold>
-            <left_val>1.0716210305690765e-001</left_val>
-            <right_val>-1.4106050133705139e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 6 6 -1.</_>
-                <_>
-                  13 5 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0879710316658020e-001</threshold>
-            <left_val>1.4286050200462341e-001</left_val>
-            <right_val>-1.0067559778690338e-001</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 3 6 6 -1.</_>
-                <_>
-                  3 5 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3998910188674927e-001</threshold>
-            <left_val>-7.2609817981719971e-001</left_val>
-            <right_val>2.1252749487757683e-002</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 8 3 -1.</_>
-                <_>
-                  5 10 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0510819964110851e-002</threshold>
-            <left_val>2.0192959904670715e-001</left_val>
-            <right_val>-7.1475587785243988e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 2 -1.</_>
-                <_>
-                  0 9 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9618060216307640e-003</threshold>
-            <left_val>-3.3826011419296265e-001</left_val>
-            <right_val>4.2012460529804230e-002</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 3 -1.</_>
-                <_>
-                  16 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.5366048365831375e-003</threshold>
-            <left_val>2.1016959100961685e-002</left_val>
-            <right_val>-3.3604449033737183e-001</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 7 3 2 -1.</_>
-                <_>
-                  2 7 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5359099954366684e-002</threshold>
-            <left_val>-3.9575159549713135e-002</left_val>
-            <right_val>4.1411620378494263e-001</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 8 -1.</_>
-                <_>
-                  17 1 1 4 2.</_>
-                <_>
-                  16 5 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.9200981631875038e-003</threshold>
-            <left_val>1.0086079686880112e-001</left_val>
-            <right_val>-6.0626558959484100e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 2 8 -1.</_>
-                <_>
-                  0 1 1 4 2.</_>
-                <_>
-                  1 5 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7361057735979557e-003</threshold>
-            <left_val>2.1334829926490784e-001</left_val>
-            <right_val>-6.8882316350936890e-002</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 4 5 -1.</_>
-                <_>
-                  14 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.4818300306797028e-003</threshold>
-            <left_val>6.3638597726821899e-002</left_val>
-            <right_val>-1.9560219347476959e-001</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 4 5 -1.</_>
-                <_>
-                  2 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.0354170165956020e-003</threshold>
-            <left_val>5.4166000336408615e-002</left_val>
-            <right_val>-2.7890819311141968e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 18 6 -1.</_>
-                <_>
-                  9 6 9 3 2.</_>
-                <_>
-                  0 9 9 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7828759551048279e-001</threshold>
-            <left_val>-3.7294510006904602e-001</left_val>
-            <right_val>3.6584310233592987e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 7 6 -1.</_>
-                <_>
-                  0 7 7 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8773088753223419e-002</threshold>
-            <left_val>-3.6562091112136841e-001</left_val>
-            <right_val>3.5259820520877838e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 8 3 -1.</_>
-                <_>
-                  5 2 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.4936249256134033e-002</threshold>
-            <left_val>3.4944280982017517e-001</left_val>
-            <right_val>-4.2130310088396072e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 11 3 -1.</_>
-                <_>
-                  3 2 11 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.1275938749313354e-002</threshold>
-            <left_val>-4.9116469919681549e-002</left_val>
-            <right_val>3.2908609509468079e-001</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 1 2 -1.</_>
-                <_>
-                  14 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.3894617855548859e-003</threshold>
-            <left_val>1.0704530403017998e-002</left_val>
-            <right_val>-4.0773379802703857e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 2 1 -1.</_>
-                <_>
-                  4 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.8752930704504251e-003</threshold>
-            <left_val>3.0874349176883698e-002</left_val>
-            <right_val>-4.2981019616127014e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 6 6 -1.</_>
-                <_>
-                  8 4 2 6 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8959279879927635e-002</threshold>
-            <left_val>9.8091676831245422e-002</left_val>
-            <right_val>-1.3165040314197540e-001</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9355230033397675e-002</threshold>
-            <left_val>4.9088131636381149e-002</left_val>
-            <right_val>-2.8296470642089844e-001</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 2 2 -1.</_>
-                <_>
-                  11 5 1 1 2.</_>
-                <_>
-                  10 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.4605318903923035e-003</threshold>
-            <left_val>-4.4935218989849091e-002</left_val>
-            <right_val>2.1187350153923035e-001</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 2 2 -1.</_>
-                <_>
-                  6 5 1 1 2.</_>
-                <_>
-                  7 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3705930002033710e-003</threshold>
-            <left_val>2.9035219550132751e-001</left_val>
-            <right_val>-4.9733299762010574e-002</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 3 -1.</_>
-                <_>
-                  16 1 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.8900327682495117e-003</threshold>
-            <left_val>2.7575170621275902e-002</left_val>
-            <right_val>-2.5662681460380554e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 3 -1.</_>
-                <_>
-                  0 1 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1210380122065544e-002</threshold>
-            <left_val>-4.5494940876960754e-001</left_val>
-            <right_val>2.8127580881118774e-002</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 8 4 3 -1.</_>
-                <_>
-                  7 9 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0722589679062366e-002</threshold>
-            <left_val>2.5290718674659729e-001</left_val>
-            <right_val>-5.1751948893070221e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 2 -1.</_>
-                <_>
-                  11 4 2 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.4759901016950607e-002</threshold>
-            <left_val>9.5928423106670380e-002</left_val>
-            <right_val>-1.3142620027065277e-001</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 7 1 2 -1.</_>
-                <_>
-                  17 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4724220382049680e-003</threshold>
-            <left_val>-3.2331600785255432e-001</left_val>
-            <right_val>3.6647390574216843e-002</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 2 3 -1.</_>
-                <_>
-                  6 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.2189580127596855e-002</threshold>
-            <left_val>4.0190368890762329e-002</left_val>
-            <right_val>-2.7344599366188049e-001</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.5241647213697433e-003</threshold>
-            <left_val>2.8725100681185722e-002</left_val>
-            <right_val>-5.1296249032020569e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 3 3 -1.</_>
-                <_>
-                  7 5 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.9368860647082329e-002</threshold>
-            <left_val>2.6298341155052185e-001</left_val>
-            <right_val>-4.5174758881330490e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 4 8 -1.</_>
-                <_>
-                  8 6 4 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6835989430546761e-002</threshold>
-            <left_val>-7.7370226383209229e-002</left_val>
-            <right_val>8.7621882557868958e-002</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 6 1 -1.</_>
-                <_>
-                  11 7 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.8315960913896561e-002</threshold>
-            <left_val>2.8099019080400467e-002</left_val>
-            <right_val>-4.4539469480514526e-001</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 2 4 -1.</_>
-                <_>
-                  11 5 1 2 2.</_>
-                <_>
-                  10 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7475409433245659e-002</threshold>
-            <left_val>3.2665181159973145e-001</left_val>
-            <right_val>-7.0993858389556408e-003</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 2 4 -1.</_>
-                <_>
-                  6 5 1 2 2.</_>
-                <_>
-                  7 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1099129915237427e-002</threshold>
-            <left_val>-4.1876319795846939e-002</left_val>
-            <right_val>2.9490828514099121e-001</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 11 2 1 -1.</_>
-                <_>
-                  9 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3201128933578730e-003</threshold>
-            <left_val>2.8871670365333557e-002</left_val>
-            <right_val>-3.9258959889411926e-001</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 6 1 -1.</_>
-                <_>
-                  8 11 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0768280364573002e-002</threshold>
-            <left_val>-4.6519058942794800e-001</left_val>
-            <right_val>2.4949219077825546e-002</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 2 -1.</_>
-                <_>
-                  6 0 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.2821088135242462e-002</threshold>
-            <left_val>1.3412840664386749e-001</left_val>
-            <right_val>-9.3141697347164154e-002</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 10 1 -1.</_>
-                <_>
-                  7 0 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7050189897418022e-002</threshold>
-            <left_val>-6.0329660773277283e-002</left_val>
-            <right_val>2.1904440224170685e-001</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 14 3 -1.</_>
-                <_>
-                  2 0 7 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8992629647254944e-001</threshold>
-            <left_val>-5.1518648862838745e-001</left_val>
-            <right_val>2.1408829838037491e-002</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 4 3 -1.</_>
-                <_>
-                  2 6 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7060669139027596e-002</threshold>
-            <left_val>1.9582070410251617e-001</left_val>
-            <right_val>-5.6239139288663864e-002</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 5 3 -1.</_>
-                <_>
-                  13 10 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4951139688491821e-002</threshold>
-            <left_val>-3.6664319038391113e-001</left_val>
-            <right_val>2.4565050378441811e-002</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 4 3 -1.</_>
-                <_>
-                  1 6 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.6735544502735138e-003</threshold>
-            <left_val>-5.2386801689863205e-002</left_val>
-            <right_val>2.1741649508476257e-001</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 3 2 -1.</_>
-                <_>
-                  13 3 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7105480656027794e-002</threshold>
-            <left_val>7.0179320871829987e-002</left_val>
-            <right_val>-2.0144950598478317e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 2 3 -1.</_>
-                <_>
-                  5 3 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.2467918507754803e-003</threshold>
-            <left_val>5.2429918199777603e-002</left_val>
-            <right_val>-2.1052859723567963e-001</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 4 3 -1.</_>
-                <_>
-                  12 1 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.1322270631790161e-002</threshold>
-            <left_val>3.1517499685287476e-001</left_val>
-            <right_val>-4.4390950351953506e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 10 6 -1.</_>
-                <_>
-                  3 8 10 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6205280125141144e-002</threshold>
-            <left_val>-8.7249839305877686e-001</left_val>
-            <right_val>1.2938500382006168e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 4 3 -1.</_>
-                <_>
-                  12 1 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.2938860356807709e-002</threshold>
-            <left_val>-4.3342970311641693e-002</left_val>
-            <right_val>2.4175900220870972e-001</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 10 4 -1.</_>
-                <_>
-                  4 4 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2955680266022682e-002</threshold>
-            <left_val>-4.1244581341743469e-002</left_val>
-            <right_val>2.6797288656234741e-001</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 5 -1.</_>
-                <_>
-                  16 7 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0403520688414574e-003</threshold>
-            <left_val>1.1751759797334671e-001</left_val>
-            <right_val>-8.8851161301136017e-002</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 3 2 4 -1.</_>
-                <_>
-                  6 4 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.3366537690162659e-003</threshold>
-            <left_val>1.1126759648323059e-001</left_val>
-            <right_val>-1.0500030219554901e-001</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 2 4 2 -1.</_>
-                <_>
-                  14 2 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7868309766054153e-002</threshold>
-            <left_val>-3.6040359735488892e-001</left_val>
-            <right_val>4.1551068425178528e-003</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 4 2 -1.</_>
-                <_>
-                  2 2 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6715070493519306e-003</threshold>
-            <left_val>7.4014060199260712e-002</left_val>
-            <right_val>-1.6199620068073273e-001</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 3 3 4 -1.</_>
-                <_>
-                  16 4 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.7153029590845108e-002</threshold>
-            <left_val>-1.6626819968223572e-002</left_val>
-            <right_val>3.0439698696136475e-001</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 3 4 3 -1.</_>
-                <_>
-                  2 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.7896347716450691e-003</threshold>
-            <left_val>1.0218390077352524e-001</left_val>
-            <right_val>-1.0985810309648514e-001</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 2 4 -1.</_>
-                <_>
-                  15 6 1 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-5.8129139244556427e-002</threshold>
-            <left_val>2.4536029994487762e-001</left_val>
-            <right_val>-1.0435160249471664e-002</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 4 2 -1.</_>
-                <_>
-                  3 6 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.8205940723419189e-002</threshold>
-            <left_val>-2.8424680233001709e-002</left_val>
-            <right_val>4.3812799453735352e-001</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 9 5 3 -1.</_>
-                <_>
-                  13 10 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1710450053215027e-002</threshold>
-            <left_val>4.2386539280414581e-002</left_val>
-            <right_val>-2.1680490672588348e-001</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 5 3 -1.</_>
-                <_>
-                  0 10 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9464310258626938e-002</threshold>
-            <left_val>-5.8676087856292725e-001</left_val>
-            <right_val>1.9311159849166870e-002</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 9 1 3 -1.</_>
-                <_>
-                  17 10 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5619969237595797e-003</threshold>
-            <left_val>-2.4047499895095825e-001</left_val>
-            <right_val>2.5458659976720810e-002</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 3 -1.</_>
-                <_>
-                  4 1 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>6.4271733164787292e-002</threshold>
-            <left_val>-1.6712099313735962e-002</left_val>
-            <right_val>7.0072662830352783e-001</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 2 1 3 -1.</_>
-                <_>
-                  17 3 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.4974149893969297e-003</threshold>
-            <left_val>4.0429990738630295e-002</left_val>
-            <right_val>-1.9398880004882813e-001</right_val></_></_>
-        <_>
-          <!-- tree 120 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 11 4 1 -1.</_>
-                <_>
-                  7 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5052769817411900e-005</threshold>
-            <left_val>9.8691992461681366e-002</left_val>
-            <right_val>-1.0426600277423859e-001</right_val></_></_>
-        <_>
-          <!-- tree 121 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 11 16 1 -1.</_>
-                <_>
-                  2 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2979538924992085e-003</threshold>
-            <left_val>4.3742060661315918e-002</left_val>
-            <right_val>-4.0012229233980179e-002</right_val></_></_>
-        <_>
-          <!-- tree 122 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 16 1 -1.</_>
-                <_>
-                  8 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.6886221766471863e-002</threshold>
-            <left_val>1.4384250156581402e-002</left_val>
-            <right_val>-7.6758372783660889e-001</right_val></_></_>
-        <_>
-          <!-- tree 123 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 4 3 -1.</_>
-                <_>
-                  14 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2105238437652588e-002</threshold>
-            <left_val>-7.5344699621200562e-001</left_val>
-            <right_val>2.2511880379170179e-003</right_val></_></_>
-        <_>
-          <!-- tree 124 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 4 3 -1.</_>
-                <_>
-                  2 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.9736672341823578e-003</threshold>
-            <left_val>-6.3740402460098267e-002</left_val>
-            <right_val>1.6708980500698090e-001</right_val></_></_>
-        <_>
-          <!-- tree 125 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 7 1 4 -1.</_>
-                <_>
-                  17 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.7112111933529377e-003</threshold>
-            <left_val>2.9338790103793144e-002</left_val>
-            <right_val>-1.9519449770450592e-001</right_val></_></_>
-        <_>
-          <!-- tree 126 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 1 4 -1.</_>
-                <_>
-                  0 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7494978643953800e-003</threshold>
-            <left_val>-3.1782409548759460e-001</left_val>
-            <right_val>3.3812701702117920e-002</right_val></_></_>
-        <_>
-          <!-- tree 127 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 9 2 1 -1.</_>
-                <_>
-                  16 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3578179534524679e-003</threshold>
-            <left_val>3.7033520638942719e-002</left_val>
-            <right_val>-5.1874168217182159e-002</right_val></_></_></trees>
-      <stage_threshold>-1.6447039842605591e+000</stage_threshold>
-      <parent>15</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 17 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7099228948354721e-002</threshold>
-            <left_val>5.1232028007507324e-001</left_val>
-            <right_val>-4.0044599771499634e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.5581682622432709e-002</threshold>
-            <left_val>4.7390219569206238e-001</left_val>
-            <right_val>-8.0851227045059204e-002</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 15 6 -1.</_>
-                <_>
-                  0 4 15 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5751540660858154e-001</threshold>
-            <left_val>3.0307799577713013e-001</left_val>
-            <right_val>-2.9985809326171875e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 4 -1.</_>
-                <_>
-                  13 6 1 2 2.</_>
-                <_>
-                  12 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.7447071671485901e-003</threshold>
-            <left_val>3.9014250040054321e-001</left_val>
-            <right_val>-1.2618440389633179e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 12 2 -1.</_>
-                <_>
-                  7 6 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3232390582561493e-001</threshold>
-            <left_val>-6.1038082838058472e-001</left_val>
-            <right_val>6.2328979372978210e-002</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 8 4 -1.</_>
-                <_>
-                  11 5 4 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.9189996719360352e-002</threshold>
-            <left_val>4.0009308606386185e-002</left_val>
-            <right_val>-2.4128450453281403e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 8 -1.</_>
-                <_>
-                  7 2 4 8 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3752479255199432e-001</threshold>
-            <left_val>2.4606010993011296e-004</left_val>
-            <right_val>-9.8147119140625000e+002</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 6 2 -1.</_>
-                <_>
-                  12 0 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.3483508527278900e-003</threshold>
-            <left_val>-5.8558419346809387e-002</left_val>
-            <right_val>9.7474083304405212e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 6 2 -1.</_>
-                <_>
-                  3 0 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5156139619648457e-002</threshold>
-            <left_val>1.7715239524841309e-001</left_val>
-            <right_val>-2.7982389926910400e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 4 -1.</_>
-                <_>
-                  13 6 1 2 2.</_>
-                <_>
-                  12 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0705590248107910e-002</threshold>
-            <left_val>-3.0257379636168480e-002</left_val>
-            <right_val>3.6629560589790344e-001</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 2 4 -1.</_>
-                <_>
-                  4 6 1 2 2.</_>
-                <_>
-                  5 8 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2671689987182617e-003</threshold>
-            <left_val>2.1479220688343048e-001</left_val>
-            <right_val>-1.5616300702095032e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 4 8 -1.</_>
-                <_>
-                  13 0 2 8 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9971169084310532e-002</threshold>
-            <left_val>-4.8491969704627991e-001</left_val>
-            <right_val>1.6523819416761398e-002</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 18 4 -1.</_>
-                <_>
-                  0 10 18 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.3550558388233185e-002</threshold>
-            <left_val>-3.3622530102729797e-001</left_val>
-            <right_val>8.8661476969718933e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 4 6 -1.</_>
-                <_>
-                  11 1 2 6 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.8984871506690979e-002</threshold>
-            <left_val>1.8954129517078400e-001</left_val>
-            <right_val>-2.6538040488958359e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 6 4 -1.</_>
-                <_>
-                  7 1 6 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.7077900022268295e-002</threshold>
-            <left_val>1.2257669866085052e-001</left_val>
-            <right_val>-2.1321929991245270e-001</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 3 -1.</_>
-                <_>
-                  16 1 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.6359550654888153e-002</threshold>
-            <left_val>3.6721199750900269e-002</left_val>
-            <right_val>-4.6964219212532043e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 3 2 -1.</_>
-                <_>
-                  2 1 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.8852001093327999e-003</threshold>
-            <left_val>6.9452546536922455e-002</left_val>
-            <right_val>-3.5492339730262756e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 6 8 -1.</_>
-                <_>
-                  13 0 2 8 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8738530576229095e-002</threshold>
-            <left_val>1.1359489709138870e-001</left_val>
-            <right_val>-8.9908212423324585e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 6 8 -1.</_>
-                <_>
-                  3 0 2 8 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6431776881217957e-002</threshold>
-            <left_val>-5.3097301721572876e-001</left_val>
-            <right_val>4.5616019517183304e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 1 -1.</_>
-                <_>
-                  12 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2832629512995481e-003</threshold>
-            <left_val>2.3055520653724670e-001</left_val>
-            <right_val>-5.9067908674478531e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 3 1 -1.</_>
-                <_>
-                  5 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9987220875918865e-003</threshold>
-            <left_val>2.4238279461860657e-001</left_val>
-            <right_val>-8.8716529309749603e-002</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 4 4 -1.</_>
-                <_>
-                  13 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6294091045856476e-003</threshold>
-            <left_val>1.6706959903240204e-001</left_val>
-            <right_val>-1.2665410339832306e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 6 1 -1.</_>
-                <_>
-                  11 4 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.1918899863958359e-002</threshold>
-            <left_val>1.7224679887294769e-001</left_val>
-            <right_val>-1.2623949348926544e-001</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 4 -1.</_>
-                <_>
-                  6 0 6 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0357339680194855e-001</threshold>
-            <left_val>1.4425869286060333e-001</left_val>
-            <right_val>-1.5410119295120239e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 4 4 -1.</_>
-                <_>
-                  3 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8944843262434006e-003</threshold>
-            <left_val>1.5122400224208832e-001</left_val>
-            <right_val>-1.2487240135669708e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 7 2 3 -1.</_>
-                <_>
-                  10 8 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9367299973964691e-002</threshold>
-            <left_val>-3.5261449217796326e-001</left_val>
-            <right_val>2.1729569882154465e-002</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 3 3 -1.</_>
-                <_>
-                  7 5 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.6256119608879089e-002</threshold>
-            <left_val>3.7000009417533875e-001</left_val>
-            <right_val>-5.3758278489112854e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7164689749479294e-002</threshold>
-            <left_val>-2.3610420525074005e-001</left_val>
-            <right_val>9.7192026674747467e-002</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 4 2 -1.</_>
-                <_>
-                  10 5 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7230700701475143e-002</threshold>
-            <left_val>1.4201079308986664e-001</left_val>
-            <right_val>-1.5985390543937683e-001</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 10 4 -1.</_>
-                <_>
-                  4 3 10 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0030000507831573e-002</threshold>
-            <left_val>2.6506531238555908e-001</left_val>
-            <right_val>-8.6499691009521484e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.2107948148623109e-005</threshold>
-            <left_val>9.5687441527843475e-002</left_val>
-            <right_val>-1.9993349909782410e-001</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 4 5 -1.</_>
-                <_>
-                  11 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0295229963958263e-002</threshold>
-            <left_val>-2.9639908671379089e-001</left_val>
-            <right_val>4.1017848998308182e-002</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 4 3 -1.</_>
-                <_>
-                  8 9 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.7980589121580124e-003</threshold>
-            <left_val>-4.3875318765640259e-001</left_val>
-            <right_val>3.9625078439712524e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 4 -1.</_>
-                <_>
-                  5 3 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.7733850777149200e-002</threshold>
-            <left_val>-5.9582959860563278e-002</left_val>
-            <right_val>2.9455170035362244e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 5 -1.</_>
-                <_>
-                  5 0 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8985090777277946e-002</threshold>
-            <left_val>-5.1091802120208740e-001</left_val>
-            <right_val>3.6479711532592773e-002</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 3 2 -1.</_>
-                <_>
-                  10 1 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6718719899654388e-003</threshold>
-            <left_val>-7.0748023688793182e-002</left_val>
-            <right_val>1.6990910470485687e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 2 1 -1.</_>
-                <_>
-                  5 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0109299910254776e-004</threshold>
-            <left_val>7.2951592504978180e-002</left_val>
-            <right_val>-2.2971729934215546e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 2 4 -1.</_>
-                <_>
-                  14 6 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3687750324606895e-002</threshold>
-            <left_val>-1.7154410481452942e-002</left_val>
-            <right_val>1.5828810632228851e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 8 2 2 -1.</_>
-                <_>
-                  5 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1907920241355896e-002</threshold>
-            <left_val>-2.7717119455337524e-001</left_val>
-            <right_val>6.1360988765954971e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 3 -1.</_>
-                <_>
-                  10 7 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.2344508916139603e-002</threshold>
-            <left_val>6.6562681458890438e-003</left_val>
-            <right_val>-3.7267601490020752e-001</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 3 3 -1.</_>
-                <_>
-                  8 7 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3367820084095001e-002</threshold>
-            <left_val>-5.3337848186492920e-001</left_val>
-            <right_val>2.7859410271048546e-002</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 14 2 -1.</_>
-                <_>
-                  10 0 7 1 2.</_>
-                <_>
-                  3 1 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.3360234275460243e-003</threshold>
-            <left_val>-5.2400518208742142e-002</left_val>
-            <right_val>1.2462449818849564e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 9 9 -1.</_>
-                <_>
-                  4 4 3 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.2082502841949463e-001</threshold>
-            <left_val>-4.6310651302337646e-001</left_val>
-            <right_val>3.1300779432058334e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 3 -1.</_>
-                <_>
-                  16 3 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3498559594154358e-002</threshold>
-            <left_val>1.9706040620803833e-002</left_val>
-            <right_val>-4.2935219407081604e-001</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 3 -1.</_>
-                <_>
-                  6 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1888509616255760e-002</threshold>
-            <left_val>2.1265150606632233e-001</left_val>
-            <right_val>-6.5112717449665070e-002</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 16 3 -1.</_>
-                <_>
-                  1 1 16 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.8383689224720001e-002</threshold>
-            <left_val>-9.9591173231601715e-002</left_val>
-            <right_val>1.7049969732761383e-001</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 1 3 -1.</_>
-                <_>
-                  4 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0062440298497677e-002</threshold>
-            <left_val>3.3510580658912659e-002</left_val>
-            <right_val>-4.7417938709259033e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 1 3 3 -1.</_>
-                <_>
-                  12 1 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7981228455901146e-003</threshold>
-            <left_val>3.6437921226024628e-002</left_val>
-            <right_val>-2.2873109579086304e-001</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 4 3 -1.</_>
-                <_>
-                  7 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.0684519559144974e-002</threshold>
-            <left_val>1.4713959395885468e-001</left_val>
-            <right_val>-8.7145403027534485e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 4 4 5 -1.</_>
-                <_>
-                  12 4 2 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3879610002040863e-002</threshold>
-            <left_val>-7.0351168513298035e-002</left_val>
-            <right_val>2.7118590474128723e-001</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 18 2 -1.</_>
-                <_>
-                  6 5 6 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5044348835945129e-001</threshold>
-            <left_val>-4.7885990142822266e-001</left_val>
-            <right_val>3.1736131757497787e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 1 3 3 -1.</_>
-                <_>
-                  12 1 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3026770204305649e-002</threshold>
-            <left_val>1.0787160135805607e-002</left_val>
-            <right_val>-2.5330540537834167e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 3 3 -1.</_>
-                <_>
-                  5 1 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.0072769671678543e-003</threshold>
-            <left_val>2.7806090191006660e-002</left_val>
-            <right_val>-4.7443199157714844e-001</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.7155848480761051e-003</threshold>
-            <left_val>1.9597819447517395e-001</left_val>
-            <right_val>-5.6443430483341217e-002</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.5435571596026421e-003</threshold>
-            <left_val>2.4191839620471001e-002</left_val>
-            <right_val>-5.9032911062240601e-001</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.8930469676852226e-003</threshold>
-            <left_val>-5.4064448922872543e-002</left_val>
-            <right_val>1.3058720529079437e-001</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 3 -1.</_>
-                <_>
-                  0 3 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.1939909830689430e-003</threshold>
-            <left_val>3.4566860646009445e-002</left_val>
-            <right_val>-3.6955019831657410e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 2 -1.</_>
-                <_>
-                  11 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9776040464639664e-002</threshold>
-            <left_val>-4.4595420360565186e-001</left_val>
-            <right_val>4.1442508809268475e-003</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 2 -1.</_>
-                <_>
-                  6 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2136470545083284e-003</threshold>
-            <left_val>2.2781200706958771e-001</left_val>
-            <right_val>-5.8483459055423737e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 4 4 -1.</_>
-                <_>
-                  12 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1251470074057579e-002</threshold>
-            <left_val>1.0093680024147034e-001</left_val>
-            <right_val>-1.7605800181627274e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 4 4 -1.</_>
-                <_>
-                  4 5 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.6385750174522400e-003</threshold>
-            <left_val>1.3835780322551727e-001</left_val>
-            <right_val>-1.2052179872989655e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 1 2 -1.</_>
-                <_>
-                  14 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0255860164761543e-002</threshold>
-            <left_val>-2.6656809449195862e-001</left_val>
-            <right_val>2.2648969665169716e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 2 1 -1.</_>
-                <_>
-                  4 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1238789738854393e-004</threshold>
-            <left_val>7.0958286523818970e-002</left_val>
-            <right_val>-1.9030919671058655e-001</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 8 2 2 -1.</_>
-                <_>
-                  15 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8172770505771041e-003</threshold>
-            <left_val>5.7135429233312607e-002</left_val>
-            <right_val>-1.9398370385169983e-001</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 2 2 -1.</_>
-                <_>
-                  3 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.5736447684466839e-003</threshold>
-            <left_val>-5.8273639529943466e-002</left_val>
-            <right_val>2.7279791235923767e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 6 1 2 -1.</_>
-                <_>
-                  17 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.3255711942911148e-003</threshold>
-            <left_val>-7.4055558443069458e-001</left_val>
-            <right_val>9.1970404610037804e-003</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 4 -1.</_>
-                <_>
-                  0 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1887560617178679e-003</threshold>
-            <left_val>-2.4141499400138855e-001</left_val>
-            <right_val>5.7376209646463394e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 3 4 -1.</_>
-                <_>
-                  15 6 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2584979888051748e-003</threshold>
-            <left_val>1.3913479447364807e-001</left_val>
-            <right_val>-1.1590459942817688e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 1 2 -1.</_>
-                <_>
-                  0 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.4622228061780334e-005</threshold>
-            <left_val>-1.3526099920272827e-001</left_val>
-            <right_val>9.5751672983169556e-002</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 3 3 -1.</_>
-                <_>
-                  9 5 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1349849179387093e-002</threshold>
-            <left_val>1.4678120613098145e-001</left_val>
-            <right_val>-6.3536033034324646e-002</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 6 4 -1.</_>
-                <_>
-                  7 2 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.4286339543759823e-003</threshold>
-            <left_val>8.8673412799835205e-002</left_val>
-            <right_val>-1.5095430612564087e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 2 -1.</_>
-                <_>
-                  15 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.3985550291836262e-003</threshold>
-            <left_val>1.5795840322971344e-001</left_val>
-            <right_val>-7.5238667428493500e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 3 2 -1.</_>
-                <_>
-                  0 11 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.3446951359510422e-003</threshold>
-            <left_val>-6.5790867805480957e-001</left_val>
-            <right_val>2.0568570122122765e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 4 2 -1.</_>
-                <_>
-                  15 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5447890162467957e-002</threshold>
-            <left_val>-4.1285929083824158e-001</left_val>
-            <right_val>5.0353291444480419e-003</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 4 2 -1.</_>
-                <_>
-                  1 5 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.0448579713702202e-003</threshold>
-            <left_val>1.8336050212383270e-001</left_val>
-            <right_val>-7.2318047285079956e-002</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 3 4 -1.</_>
-                <_>
-                  11 0 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.2271078824996948e-003</threshold>
-            <left_val>4.0401030331850052e-002</left_val>
-            <right_val>-2.2265300154685974e-001</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 3 3 -1.</_>
-                <_>
-                  4 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.3982810080051422e-002</threshold>
-            <left_val>-5.7746250182390213e-002</left_val>
-            <right_val>2.2017340362071991e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 3 -1.</_>
-                <_>
-                  16 2 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8559179045259953e-003</threshold>
-            <left_val>5.0909828394651413e-002</left_val>
-            <right_val>-3.0777629464864731e-002</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 3 -1.</_>
-                <_>
-                  1 2 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8284700345247984e-003</threshold>
-            <left_val>7.4684068560600281e-002</left_val>
-            <right_val>-1.7498280107975006e-001</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 12 4 -1.</_>
-                <_>
-                  3 2 12 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3661746680736542e-002</threshold>
-            <left_val>-6.5391771495342255e-002</left_val>
-            <right_val>2.2334089875221252e-001</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 8 3 -1.</_>
-                <_>
-                  5 2 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7838269248604774e-002</threshold>
-            <left_val>2.9847261309623718e-001</left_val>
-            <right_val>-4.9533151090145111e-002</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 2 1 -1.</_>
-                <_>
-                  8 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0150820162380114e-004</threshold>
-            <left_val>1.1381319910287857e-001</left_val>
-            <right_val>-1.2988950312137604e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 3 -1.</_>
-                <_>
-                  7 0 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.2104168832302094e-003</threshold>
-            <left_val>-3.3482441306114197e-001</left_val>
-            <right_val>4.3320100754499435e-002</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 1 4 -1.</_>
-                <_>
-                  9 5 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3469710722565651e-002</threshold>
-            <left_val>1.0485579818487167e-001</left_val>
-            <right_val>-2.6606179773807526e-002</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 5 6 -1.</_>
-                <_>
-                  0 6 5 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0225430130958557e-001</threshold>
-            <left_val>-5.8360242843627930e-001</left_val>
-            <right_val>1.9875079393386841e-002</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 1 -1.</_>
-                <_>
-                  16 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1051409819629043e-004</threshold>
-            <left_val>-5.1062610000371933e-002</left_val>
-            <right_val>5.9449151158332825e-002</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 2 3 -1.</_>
-                <_>
-                  2 2 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8587339445948601e-002</threshold>
-            <left_val>-6.5006488561630249e-001</left_val>
-            <right_val>1.7431130632758141e-002</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 4 3 3 -1.</_>
-                <_>
-                  15 5 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3374029658734798e-002</threshold>
-            <left_val>-1.4429409801959991e-001</left_val>
-            <right_val>1.7930189147591591e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 2 2 -1.</_>
-                <_>
-                  4 6 1 1 2.</_>
-                <_>
-                  5 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3064489942044020e-003</threshold>
-            <left_val>2.0024579763412476e-001</left_val>
-            <right_val>-5.6077890098094940e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 4 3 -1.</_>
-                <_>
-                  10 1 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.4166266024112701e-003</threshold>
-            <left_val>2.1211260929703712e-002</left_val>
-            <right_val>-1.6266340017318726e-001</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 3 4 -1.</_>
-                <_>
-                  4 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9152640849351883e-002</threshold>
-            <left_val>-7.4495017528533936e-001</left_val>
-            <right_val>1.5373099595308304e-002</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 4 3 3 -1.</_>
-                <_>
-                  15 5 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2199099883437157e-002</threshold>
-            <left_val>3.8378299213945866e-003</left_val>
-            <right_val>-4.2204570770263672e-001</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 3 3 -1.</_>
-                <_>
-                  0 5 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1212680265307426e-002</threshold>
-            <left_val>-6.2949067354202271e-001</left_val>
-            <right_val>1.7416249960660934e-002</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 1 4 -1.</_>
-                <_>
-                  9 5 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.4373589083552361e-002</threshold>
-            <left_val>-1.2476569972932339e-002</left_val>
-            <right_val>2.4312859773635864e-001</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 4 1 -1.</_>
-                <_>
-                  9 5 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.5655349753797054e-003</threshold>
-            <left_val>8.4354929625988007e-002</left_val>
-            <right_val>-1.5370599925518036e-001</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 4 3 -1.</_>
-                <_>
-                  10 1 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7004949748516083e-002</threshold>
-            <left_val>-5.8976668119430542e-001</left_val>
-            <right_val>2.9545149300247431e-003</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 4 3 -1.</_>
-                <_>
-                  6 1 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.3342039249837399e-003</threshold>
-            <left_val>3.2064430415630341e-002</left_val>
-            <right_val>-3.6039480566978455e-001</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 3 -1.</_>
-                <_>
-                  7 3 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6217659711837769e-002</threshold>
-            <left_val>4.1957581043243408e-001</left_val>
-            <right_val>-2.8667179867625237e-002</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 12 1 -1.</_>
-                <_>
-                  7 0 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3907890319824219e-002</threshold>
-            <left_val>1.9862470030784607e-001</left_val>
-            <right_val>-5.4882749915122986e-002</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 7 3 2 -1.</_>
-                <_>
-                  16 8 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.3384829759597778e-002</threshold>
-            <left_val>9.7365463152527809e-003</left_val>
-            <right_val>-5.0248068571090698e-001</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 7 2 3 -1.</_>
-                <_>
-                  2 8 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.6862079501152039e-002</threshold>
-            <left_val>-4.6240940690040588e-002</left_val>
-            <right_val>2.6544511318206787e-001</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 4 1 -1.</_>
-                <_>
-                  15 9 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0384619963588193e-004</threshold>
-            <left_val>-6.5498687326908112e-002</left_val>
-            <right_val>7.5105533003807068e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 4 1 -1.</_>
-                <_>
-                  1 9 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8147130031138659e-003</threshold>
-            <left_val>1.5277540683746338e-001</left_val>
-            <right_val>-7.0199362933635712e-002</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 3 2 -1.</_>
-                <_>
-                  9 1 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.1106678806245327e-003</threshold>
-            <left_val>-3.0020499229431152e-001</left_val>
-            <right_val>1.6424750909209251e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 3 1 -1.</_>
-                <_>
-                  7 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5177739337086678e-003</threshold>
-            <left_val>1.7865179479122162e-001</left_val>
-            <right_val>-5.8777790516614914e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 6 6 -1.</_>
-                <_>
-                  15 1 3 3 2.</_>
-                <_>
-                  12 4 3 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1041579097509384e-002</threshold>
-            <left_val>1.8218480050563812e-001</left_val>
-            <right_val>-8.1268668174743652e-002</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 4 2 -1.</_>
-                <_>
-                  7 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7358681224286556e-003</threshold>
-            <left_val>2.5911739096045494e-002</left_val>
-            <right_val>-4.2743799090385437e-001</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 1 -1.</_>
-                <_>
-                  7 10 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0798470117151737e-002</threshold>
-            <left_val>-6.1551171541213989e-001</left_val>
-            <right_val>1.5165490098297596e-002</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 12 2 -1.</_>
-                <_>
-                  4 10 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6831440851092339e-002</threshold>
-            <left_val>1.4407679438591003e-001</left_val>
-            <right_val>-8.0768980085849762e-002</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 11 16 1 -1.</_>
-                <_>
-                  5 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0636080056428909e-002</threshold>
-            <left_val>-6.2096010893583298e-002</left_val>
-            <right_val>1.9595879316329956e-001</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 12 2 -1.</_>
-                <_>
-                  1 0 6 1 2.</_>
-                <_>
-                  7 1 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2243179604411125e-002</threshold>
-            <left_val>2.0768819749355316e-001</left_val>
-            <right_val>-5.2664700895547867e-002</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 1 -1.</_>
-                <_>
-                  16 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2133699841797352e-002</threshold>
-            <left_val>-2.9647940397262573e-001</left_val>
-            <right_val>2.0730949938297272e-002</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 1 3 -1.</_>
-                <_>
-                  2 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1067570187151432e-002</threshold>
-            <left_val>2.1148590371012688e-002</left_val>
-            <right_val>-4.9197408556938171e-001</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 8 2 2 -1.</_>
-                <_>
-                  11 8 1 1 2.</_>
-                <_>
-                  10 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.8478456493467093e-005</threshold>
-            <left_val>1.1343929916620255e-001</left_val>
-            <right_val>-8.3189181983470917e-002</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 4 3 -1.</_>
-                <_>
-                  2 1 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6805750355124474e-003</threshold>
-            <left_val>1.5700399875640869e-001</left_val>
-            <right_val>-6.6936172544956207e-002</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 6 6 -1.</_>
-                <_>
-                  6 8 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8414670377969742e-002</threshold>
-            <left_val>-7.0801937580108643e-001</left_val>
-            <right_val>1.5312350355088711e-002</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 2 6 -1.</_>
-                <_>
-                  6 5 1 3 2.</_>
-                <_>
-                  7 8 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.3131557330489159e-003</threshold>
-            <left_val>3.2525569200515747e-001</left_val>
-            <right_val>-3.9767459034919739e-002</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 10 -1.</_>
-                <_>
-                  8 0 2 10 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6154859215021133e-002</threshold>
-            <left_val>7.2170242667198181e-002</left_val>
-            <right_val>-1.6181150078773499e-001</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 10 8 2 -1.</_>
-                <_>
-                  7 10 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8748309239745140e-002</threshold>
-            <left_val>-5.0679367780685425e-001</left_val>
-            <right_val>2.0193170756101608e-002</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 3 -1.</_>
-                <_>
-                  8 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.1366219520568848e-003</threshold>
-            <left_val>2.0419590175151825e-001</left_val>
-            <right_val>-6.5082170069217682e-002</right_val></_></_>
-        <_>
-          <!-- tree 120 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 2 8 -1.</_>
-                <_>
-                  2 0 1 4 2.</_>
-                <_>
-                  3 4 1 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5805249568074942e-003</threshold>
-            <left_val>1.0301300138235092e-001</left_val>
-            <right_val>-9.4873502850532532e-002</right_val></_></_>
-        <_>
-          <!-- tree 121 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 9 1 2 -1.</_>
-                <_>
-                  17 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0768450010800734e-004</threshold>
-            <left_val>-1.3171160221099854e-001</left_val>
-            <right_val>6.4459241926670074e-002</right_val></_></_>
-        <_>
-          <!-- tree 122 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 1 2 -1.</_>
-                <_>
-                  0 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0487069812370464e-004</threshold>
-            <left_val>-1.2248139828443527e-001</left_val>
-            <right_val>7.9662062227725983e-002</right_val></_></_>
-        <_>
-          <!-- tree 123 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 9 1 3 -1.</_>
-                <_>
-                  17 10 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3125091101974249e-003</threshold>
-            <left_val>4.4756468385457993e-002</left_val>
-            <right_val>-1.7060999572277069e-001</right_val></_></_>
-        <_>
-          <!-- tree 124 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 1 3 -1.</_>
-                <_>
-                  0 10 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1291899029165506e-003</threshold>
-            <left_val>4.8184551298618317e-002</left_val>
-            <right_val>-2.3906719684600830e-001</right_val></_></_>
-        <_>
-          <!-- tree 125 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 3 2 -1.</_>
-                <_>
-                  10 1 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5565729700028896e-002</threshold>
-            <left_val>-2.2367909550666809e-002</left_val>
-            <right_val>1.5265730023384094e-001</right_val></_></_>
-        <_>
-          <!-- tree 126 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 2 -1.</_>
-                <_>
-                  1 2 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2233420275151730e-002</threshold>
-            <left_val>-1.4203540049493313e-002</left_val>
-            <right_val>6.9559741020202637e-001</right_val></_></_>
-        <_>
-          <!-- tree 127 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 2 3 -1.</_>
-                <_>
-                  13 0 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.4537650160491467e-002</threshold>
-            <left_val>-2.8447359800338745e-002</left_val>
-            <right_val>8.0053016543388367e-002</right_val></_></_>
-        <_>
-          <!-- tree 128 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 3 2 -1.</_>
-                <_>
-                  7 6 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.6005781292915344e-002</threshold>
-            <left_val>8.9588922262191772e-001</left_val>
-            <right_val>-1.1561259627342224e-002</right_val></_></_>
-        <_>
-          <!-- tree 129 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 1 10 -1.</_>
-                <_>
-                  11 0 1 5 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0381550341844559e-001</threshold>
-            <left_val>-1.8446309864521027e-001</left_val>
-            <right_val>1.7674740403890610e-002</right_val></_></_>
-        <_>
-          <!-- tree 130 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 10 1 -1.</_>
-                <_>
-                  7 0 5 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.3172790408134460e-001</threshold>
-            <left_val>5.0180637836456299e-001</left_val>
-            <right_val>-2.0710369572043419e-002</right_val></_></_>
-        <_>
-          <!-- tree 131 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 14 2 -1.</_>
-                <_>
-                  11 2 7 1 2.</_>
-                <_>
-                  4 3 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5426370315253735e-002</threshold>
-            <left_val>7.8415192663669586e-002</left_val>
-            <right_val>-2.7261590585112572e-002</right_val></_></_>
-        <_>
-          <!-- tree 132 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 2 1 -1.</_>
-                <_>
-                  2 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0778359865071252e-004</threshold>
-            <left_val>6.0409270226955414e-002</left_val>
-            <right_val>-1.5471479296684265e-001</right_val></_></_>
-        <_>
-          <!-- tree 133 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 6 4 -1.</_>
-                <_>
-                  15 0 3 2 2.</_>
-                <_>
-                  12 2 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4746390059590340e-002</threshold>
-            <left_val>1.2564839422702789e-001</left_val>
-            <right_val>-3.3081028610467911e-002</right_val></_></_>
-        <_>
-          <!-- tree 134 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 6 4 -1.</_>
-                <_>
-                  0 0 3 2 2.</_>
-                <_>
-                  3 2 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5458550304174423e-002</threshold>
-            <left_val>1.7179520428180695e-001</left_val>
-            <right_val>-5.8264948427677155e-002</right_val></_></_>
-        <_>
-          <!-- tree 135 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 2 2 -1.</_>
-                <_>
-                  10 0 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0445830412209034e-002</threshold>
-            <left_val>1.4642359316349030e-001</left_val>
-            <right_val>-3.6354210227727890e-002</right_val></_></_>
-        <_>
-          <!-- tree 136 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 2 2 -1.</_>
-                <_>
-                  8 0 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.6862770318984985e-002</threshold>
-            <left_val>2.1519670262932777e-002</left_val>
-            <right_val>-4.7783750295639038e-001</right_val></_></_>
-        <_>
-          <!-- tree 137 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 2 3 -1.</_>
-                <_>
-                  13 0 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.5936690866947174e-002</threshold>
-            <left_val>4.5006349682807922e-003</left_val>
-            <right_val>-1.7359879612922668e-001</right_val></_></_>
-        <_>
-          <!-- tree 138 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 3 2 -1.</_>
-                <_>
-                  5 0 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5734670683741570e-002</threshold>
-            <left_val>-3.0777779221534729e-001</left_val>
-            <right_val>3.1397148966789246e-002</right_val></_></_>
-        <_>
-          <!-- tree 139 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 12 6 -1.</_>
-                <_>
-                  9 7 4 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.6576629281044006e-001</threshold>
-            <left_val>8.3727054297924042e-003</left_val>
-            <right_val>-1.7637939751148224e-001</right_val></_></_>
-        <_>
-          <!-- tree 140 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 5 12 6 -1.</_>
-                <_>
-                  5 7 4 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.7198851108551025e-001</threshold>
-            <left_val>-2.5540670752525330e-001</left_val>
-            <right_val>3.7426579743623734e-002</right_val></_></_>
-        <_>
-          <!-- tree 141 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 9 3 1 -1.</_>
-                <_>
-                  11 9 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8124678111635149e-005</threshold>
-            <left_val>6.1373539268970490e-002</left_val>
-            <right_val>-5.4453648626804352e-002</right_val></_></_>
-        <_>
-          <!-- tree 142 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 3 1 -1.</_>
-                <_>
-                  6 9 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.9498830018565059e-005</threshold>
-            <left_val>1.0011609643697739e-001</left_val>
-            <right_val>-9.8592832684516907e-002</right_val></_></_>
-        <_>
-          <!-- tree 143 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 8 2 2 -1.</_>
-                <_>
-                  11 8 1 1 2.</_>
-                <_>
-                  10 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0202309931628406e-004</threshold>
-            <left_val>-7.4067138135433197e-002</left_val>
-            <right_val>7.4745737016201019e-002</right_val></_></_>
-        <_>
-          <!-- tree 144 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 8 2 2 -1.</_>
-                <_>
-                  6 8 1 1 2.</_>
-                <_>
-                  7 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.2606707767117769e-005</threshold>
-            <left_val>1.3342879712581635e-001</left_val>
-            <right_val>-9.0439222753047943e-002</right_val></_></_>
-        <_>
-          <!-- tree 145 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 3 -1.</_>
-                <_>
-                  8 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.8040629588067532e-003</threshold>
-            <left_val>-6.1666429042816162e-002</left_val>
-            <right_val>1.6896329820156097e-001</right_val></_></_>
-        <_>
-          <!-- tree 146 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 3 -1.</_>
-                <_>
-                  4 7 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.1060919910669327e-003</threshold>
-            <left_val>1.3207329809665680e-001</left_val>
-            <right_val>-7.3784358799457550e-002</right_val></_></_>
-        <_>
-          <!-- tree 147 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 8 3 1 -1.</_>
-                <_>
-                  14 8 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0786090046167374e-002</threshold>
-            <left_val>-5.6200730800628662e-001</left_val>
-            <right_val>1.3227690011262894e-002</right_val></_></_>
-        <_>
-          <!-- tree 148 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 3 1 -1.</_>
-                <_>
-                  3 8 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.7276162705384195e-005</threshold>
-            <left_val>-9.7462959587574005e-002</left_val>
-            <right_val>1.1971189826726913e-001</right_val></_></_>
-        <_>
-          <!-- tree 149 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 6 6 -1.</_>
-                <_>
-                  12 8 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8057929873466492e-001</threshold>
-            <left_val>-3.0780870001763105e-003</left_val>
-            <right_val>6.8235772848129272e-001</right_val></_></_>
-        <_>
-          <!-- tree 150 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 6 6 -1.</_>
-                <_>
-                  4 8 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3232059776782990e-001</threshold>
-            <left_val>-3.8513648509979248e-001</left_val>
-            <right_val>2.6804640889167786e-002</right_val></_></_>
-        <_>
-          <!-- tree 151 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 2 7 -1.</_>
-                <_>
-                  9 2 1 7 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.3539249822497368e-003</threshold>
-            <left_val>-4.4983521103858948e-002</left_val>
-            <right_val>2.9777200892567635e-002</right_val></_></_>
-        <_>
-          <!-- tree 152 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 2 3 -1.</_>
-                <_>
-                  8 2 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.7433509975671768e-003</threshold>
-            <left_val>2.0317420363426208e-001</left_val>
-            <right_val>-4.5301459729671478e-002</right_val></_></_>
-        <_>
-          <!-- tree 153 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 2 1 -1.</_>
-                <_>
-                  14 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0802519682329148e-004</threshold>
-            <left_val>-5.8308821171522141e-002</left_val>
-            <right_val>7.4881277978420258e-002</right_val></_></_>
-        <_>
-          <!-- tree 154 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 2 1 -1.</_>
-                <_>
-                  3 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0485889652045444e-004</threshold>
-            <left_val>6.7523166537284851e-002</left_val>
-            <right_val>-1.4478640258312225e-001</right_val></_></_>
-        <_>
-          <!-- tree 155 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  9 0 9 6 2.</_>
-                <_>
-                  0 6 9 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5352221131324768e-001</threshold>
-            <left_val>-4.2312130331993103e-001</left_val>
-            <right_val>1.9533690065145493e-002</right_val></_></_>
-        <_>
-          <!-- tree 156 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 8 -1.</_>
-                <_>
-                  0 4 9 4 2.</_>
-                <_>
-                  9 8 9 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2163110077381134e-001</threshold>
-            <left_val>-2.7824950218200684e-001</left_val>
-            <right_val>3.1736399978399277e-002</right_val></_></_>
-        <_>
-          <!-- tree 157 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 2 10 -1.</_>
-                <_>
-                  16 1 1 5 2.</_>
-                <_>
-                  15 6 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9749959465116262e-003</threshold>
-            <left_val>3.7093818187713623e-002</left_val>
-            <right_val>-3.7182409316301346e-002</right_val></_></_>
-        <_>
-          <!-- tree 158 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 2 10 -1.</_>
-                <_>
-                  1 1 1 5 2.</_>
-                <_>
-                  2 6 1 5 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.9040738269686699e-003</threshold>
-            <left_val>1.7077660560607910e-001</left_val>
-            <right_val>-5.1128141582012177e-002</right_val></_></_>
-        <_>
-          <!-- tree 159 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 6 1 3 -1.</_>
-                <_>
-                  17 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3806660473346710e-003</threshold>
-            <left_val>1.8414629623293877e-002</left_val>
-            <right_val>-3.3528879284858704e-001</right_val></_></_>
-        <_>
-          <!-- tree 160 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 1 3 -1.</_>
-                <_>
-                  0 7 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0919709242880344e-003</threshold>
-            <left_val>3.3527199178934097e-002</left_val>
-            <right_val>-2.5639230012893677e-001</right_val></_></_>
-        <_>
-          <!-- tree 161 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 11 9 1 -1.</_>
-                <_>
-                  12 11 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3380180597305298e-002</threshold>
-            <left_val>-5.6673657894134521e-001</left_val>
-            <right_val>9.6841529011726379e-003</right_val></_></_>
-        <_>
-          <!-- tree 162 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 9 1 -1.</_>
-                <_>
-                  3 11 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.3758830763399601e-003</threshold>
-            <left_val>-7.3790043592453003e-002</left_val>
-            <right_val>1.2300299853086472e-001</right_val></_></_>
-        <_>
-          <!-- tree 163 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 2 2 1 -1.</_>
-                <_>
-                  10 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6056828624568880e-005</threshold>
-            <left_val>6.6307842731475830e-002</left_val>
-            <right_val>-8.0982752144336700e-002</right_val></_></_>
-        <_>
-          <!-- tree 164 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 2 1 -1.</_>
-                <_>
-                  7 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.6216521342284977e-005</threshold>
-            <left_val>-9.5515526831150055e-002</left_val>
-            <right_val>9.8478242754936218e-002</right_val></_></_>
-        <_>
-          <!-- tree 165 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 4 2 -1.</_>
-                <_>
-                  12 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.0997669547796249e-002</threshold>
-            <left_val>-1.9261270761489868e-002</left_val>
-            <right_val>1.9147670269012451e-001</right_val></_></_>
-        <_>
-          <!-- tree 166 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 1 7 2 -1.</_>
-                <_>
-                  8 1 7 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.0974739938974380e-002</threshold>
-            <left_val>3.5511299967765808e-002</left_val>
-            <right_val>-2.3782519996166229e-001</right_val></_></_>
-        <_>
-          <!-- tree 167 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 2 3 -1.</_>
-                <_>
-                  8 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5249810181558132e-002</threshold>
-            <left_val>-3.2638609409332275e-002</left_val>
-            <right_val>2.6787319779396057e-001</right_val></_></_>
-        <_>
-          <!-- tree 168 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 2 3 -1.</_>
-                <_>
-                  7 4 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.7066702544689178e-003</threshold>
-            <left_val>1.6137360036373138e-001</left_val>
-            <right_val>-6.4327538013458252e-002</right_val></_></_></trees>
-      <stage_threshold>-1.6502959728240967e+000</stage_threshold>
-      <parent>16</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 18 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6222651153802872e-002</threshold>
-            <left_val>5.9786707162857056e-001</left_val>
-            <right_val>-3.5909670591354370e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 2 3 -1.</_>
-                <_>
-                  13 7 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.1003809310495853e-003</threshold>
-            <left_val>-2.0380510389804840e-001</left_val>
-            <right_val>1.9502650201320648e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 8 3 -1.</_>
-                <_>
-                  5 4 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.9330119043588638e-002</threshold>
-            <left_val>5.0600039958953857e-001</left_val>
-            <right_val>-1.6639490425586700e-001</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 3 3 -1.</_>
-                <_>
-                  13 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4293588511645794e-003</threshold>
-            <left_val>1.8901120126247406e-001</left_val>
-            <right_val>-1.4212790131568909e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 6 -1.</_>
-                <_>
-                  4 0 1 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7428511606995016e-005</threshold>
-            <left_val>1.1049690097570419e-001</left_val>
-            <right_val>-3.3191910386085510e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 2 -1.</_>
-                <_>
-                  17 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.2071679122745991e-003</threshold>
-            <left_val>1.3103869557380676e-001</left_val>
-            <right_val>-7.3238097131252289e-002</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 2 1 -1.</_>
-                <_>
-                  1 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.6127950511872768e-003</threshold>
-            <left_val>-3.1489709019660950e-001</left_val>
-            <right_val>1.1853870004415512e-001</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 8 3 -1.</_>
-                <_>
-                  5 5 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.1899220794439316e-002</threshold>
-            <left_val>3.3643078804016113e-001</left_val>
-            <right_val>-9.0716972947120667e-002</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 18 8 -1.</_>
-                <_>
-                  0 8 18 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6771941184997559e-001</threshold>
-            <left_val>-2.8837621212005615e-001</left_val>
-            <right_val>9.6811376512050629e-002</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 3 3 -1.</_>
-                <_>
-                  13 7 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.9863619282841682e-003</threshold>
-            <left_val>9.2437140643596649e-002</left_val>
-            <right_val>-2.5936789810657501e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 2 3 -1.</_>
-                <_>
-                  5 6 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.8948301747441292e-003</threshold>
-            <left_val>2.0623749494552612e-001</left_val>
-            <right_val>-1.3285739719867706e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 3 1 -1.</_>
-                <_>
-                  13 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.1778100393712521e-002</threshold>
-            <left_val>2.3808769881725311e-002</left_val>
-            <right_val>-1.5618060529232025e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 1 3 -1.</_>
-                <_>
-                  5 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.7711039707064629e-003</threshold>
-            <left_val>-4.4414070248603821e-001</left_val>
-            <right_val>5.2495859563350677e-002</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 6 2 4 -1.</_>
-                <_>
-                  12 6 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.2034980356693268e-002</threshold>
-            <left_val>1.2899329885840416e-002</left_val>
-            <right_val>-3.1973049044609070e-001</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 4 2 -1.</_>
-                <_>
-                  6 6 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.9070861190557480e-002</threshold>
-            <left_val>-3.8365250825881958e-001</left_val>
-            <right_val>6.3556171953678131e-002</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 2 -1.</_>
-                <_>
-                  10 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3082459382712841e-003</threshold>
-            <left_val>-3.8817681372165680e-002</left_val>
-            <right_val>1.8945780396461487e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 1 2 -1.</_>
-                <_>
-                  0 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7394339665770531e-003</threshold>
-            <left_val>-4.3998670578002930e-001</left_val>
-            <right_val>4.6502090990543365e-002</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 3 2 -1.</_>
-                <_>
-                  10 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.4195288792252541e-003</threshold>
-            <left_val>1.1859840154647827e-001</left_val>
-            <right_val>-7.3243133723735809e-002</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6303210556507111e-002</threshold>
-            <left_val>-2.6308500766754150e-001</left_val>
-            <right_val>7.2903439402580261e-002</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 3 -1.</_>
-                <_>
-                  12 6 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.4307971596717834e-002</threshold>
-            <left_val>-6.0798160731792450e-002</left_val>
-            <right_val>3.9862269163131714e-001</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 3 1 -1.</_>
-                <_>
-                  9 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3242679201066494e-003</threshold>
-            <left_val>1.0307639837265015e-001</left_val>
-            <right_val>-2.0086939632892609e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 2 1 -1.</_>
-                <_>
-                  15 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0037739761173725e-002</threshold>
-            <left_val>2.2954529151320457e-002</left_val>
-            <right_val>-3.3619529008865356e-001</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 2 6 3 -1.</_>
-                <_>
-                  6 3 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8309960141777992e-002</threshold>
-            <left_val>2.7249470353126526e-001</left_val>
-            <right_val>-7.5265437364578247e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 3 -1.</_>
-                <_>
-                  11 5 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2437590397894382e-002</threshold>
-            <left_val>1.6988450288772583e-001</left_val>
-            <right_val>-1.2346489727497101e-001</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 3 2 1 -1.</_>
-                <_>
-                  2 3 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7200412710662931e-005</threshold>
-            <left_val>9.2975288629531860e-002</left_val>
-            <right_val>-2.1013750135898590e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 3 2 -1.</_>
-                <_>
-                  16 1 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5010629780590534e-002</threshold>
-            <left_val>2.7979910373687744e-002</left_val>
-            <right_val>-2.2502240538597107e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 5 2 -1.</_>
-                <_>
-                  4 1 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.8223020061850548e-003</threshold>
-            <left_val>-9.1722019016742706e-002</left_val>
-            <right_val>2.1493209898471832e-001</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 2 -1.</_>
-                <_>
-                  8 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.6006199233233929e-003</threshold>
-            <left_val>3.4965578466653824e-002</left_val>
-            <right_val>-5.5234891176223755e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 4 2 -1.</_>
-                <_>
-                  2 0 4 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.6817400008440018e-002</threshold>
-            <left_val>-4.8797228932380676e-001</left_val>
-            <right_val>3.0805250629782677e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 10 18 2 -1.</_>
-                <_>
-                  0 11 18 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.0448551559820771e-004</threshold>
-            <left_val>-3.5009810328483582e-001</left_val>
-            <right_val>4.8253938555717468e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 4 3 -1.</_>
-                <_>
-                  7 4 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3609889447689056e-002</threshold>
-            <left_val>1.7630560696125031e-001</left_val>
-            <right_val>-9.8770871758460999e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 6 6 2 -1.</_>
-                <_>
-                  9 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8547330051660538e-002</threshold>
-            <left_val>1.0437929630279541e-001</left_val>
-            <right_val>-1.1144720017910004e-001</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 8 2 -1.</_>
-                <_>
-                  7 6 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6172698736190796e-002</threshold>
-            <left_val>-3.0085611343383789e-001</left_val>
-            <right_val>7.9608023166656494e-002</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 2 -1.</_>
-                <_>
-                  12 6 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3099640384316444e-002</threshold>
-            <left_val>2.7257511019706726e-001</left_val>
-            <right_val>-2.9355559498071671e-002</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 3 3 -1.</_>
-                <_>
-                  5 6 1 1 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.9425190538167953e-002</threshold>
-            <left_val>-5.3158119320869446e-002</left_val>
-            <right_val>3.6481729149818420e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 0 2 2 -1.</_>
-                <_>
-                  15 0 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.0240049809217453e-002</threshold>
-            <left_val>5.3568179719150066e-003</left_val>
-            <right_val>-1.8116340041160583e-001</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 2 -1.</_>
-                <_>
-                  3 0 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.3122208490967751e-003</threshold>
-            <left_val>5.0547938793897629e-002</left_val>
-            <right_val>-3.4074148535728455e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 8 2 -1.</_>
-                <_>
-                  9 2 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3379230871796608e-002</threshold>
-            <left_val>-2.1109730005264282e-001</left_val>
-            <right_val>1.6865389421582222e-002</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 7 2 3 -1.</_>
-                <_>
-                  3 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9556559622287750e-002</threshold>
-            <left_val>-3.4358918666839600e-001</left_val>
-            <right_val>4.2624428868293762e-002</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 10 4 -1.</_>
-                <_>
-                  13 5 5 2 2.</_>
-                <_>
-                  8 7 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1322460621595383e-002</threshold>
-            <left_val>-3.9133161306381226e-002</left_val>
-            <right_val>5.5833168327808380e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 2 3 -1.</_>
-                <_>
-                  0 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.3630441911518574e-003</threshold>
-            <left_val>-4.7864329814910889e-001</left_val>
-            <right_val>2.9872870072722435e-002</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 4 2 -1.</_>
-                <_>
-                  14 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3409801069647074e-003</threshold>
-            <left_val>1.3057319819927216e-001</left_val>
-            <right_val>-1.4621940255165100e-001</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 4 2 -1.</_>
-                <_>
-                  2 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.2211654409766197e-003</threshold>
-            <left_val>-6.7346267402172089e-002</left_val>
-            <right_val>2.5263699889183044e-001</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 1 2 -1.</_>
-                <_>
-                  12 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0466010309755802e-002</threshold>
-            <left_val>-1.9848449528217316e-001</left_val>
-            <right_val>1.8861690536141396e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 2 1 -1.</_>
-                <_>
-                  6 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.7899202955886722e-005</threshold>
-            <left_val>6.3450932502746582e-002</left_val>
-            <right_val>-2.1557840704917908e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 4 2 3 -1.</_>
-                <_>
-                  12 5 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3922720924019814e-002</threshold>
-            <left_val>2.4631519615650177e-001</left_val>
-            <right_val>-5.1129460334777832e-002</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 3 -1.</_>
-                <_>
-                  0 1 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.7842950336635113e-003</threshold>
-            <left_val>4.2333669960498810e-002</left_val>
-            <right_val>-3.3898320794105530e-001</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 3 3 -1.</_>
-                <_>
-                  12 1 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3269839584827423e-002</threshold>
-            <left_val>2.4037189781665802e-001</left_val>
-            <right_val>-3.4505158662796021e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 4 3 2 -1.</_>
-                <_>
-                  6 5 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6350559890270233e-002</threshold>
-            <left_val>1.9407600164413452e-001</left_val>
-            <right_val>-7.0264637470245361e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 3 3 -1.</_>
-                <_>
-                  12 1 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.7969698905944824e-002</threshold>
-            <left_val>2.3122610151767731e-001</left_val>
-            <right_val>-5.0500500947237015e-003</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 3 3 -1.</_>
-                <_>
-                  6 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7734989523887634e-002</threshold>
-            <left_val>2.2820329666137695e-001</left_val>
-            <right_val>-6.5362311899662018e-002</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 4 4 -1.</_>
-                <_>
-                  12 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.5965424552559853e-003</threshold>
-            <left_val>-3.6203289031982422e-001</left_val>
-            <right_val>4.2960420250892639e-002</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 4 4 -1.</_>
-                <_>
-                  4 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1790839955210686e-002</threshold>
-            <left_val>-3.3380389213562012e-001</left_val>
-            <right_val>3.7407919764518738e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 4 3 5 -1.</_>
-                <_>
-                  10 4 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5361768007278442e-002</threshold>
-            <left_val>-7.3411208391189575e-001</left_val>
-            <right_val>3.7781549617648125e-003</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 3 5 -1.</_>
-                <_>
-                  7 4 1 5 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.2028174549341202e-003</threshold>
-            <left_val>1.9058810174465179e-001</left_val>
-            <right_val>-7.3330029845237732e-002</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 3 -1.</_>
-                <_>
-                  16 8 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.7162883321288973e-005</threshold>
-            <left_val>4.1498031467199326e-002</left_val>
-            <right_val>-7.5053706765174866e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 3 3 -1.</_>
-                <_>
-                  7 5 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.4400381147861481e-002</threshold>
-            <left_val>-5.5474020540714264e-002</left_val>
-            <right_val>2.4660380184650421e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 1 -1.</_>
-                <_>
-                  11 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.3116212151944637e-003</threshold>
-            <left_val>-4.3518859893083572e-002</left_val>
-            <right_val>2.7988308668136597e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 4 4 -1.</_>
-                <_>
-                  7 1 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3429949991405010e-002</threshold>
-            <left_val>-3.6247709393501282e-001</left_val>
-            <right_val>3.9708640426397324e-002</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 8 2 -1.</_>
-                <_>
-                  9 2 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.1758027672767639e-002</threshold>
-            <left_val>1.</left_val>
-            <right_val>-3.3344780094921589e-003</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 8 2 -1.</_>
-                <_>
-                  5 2 4 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.6716182045638561e-003</threshold>
-            <left_val>1.0546670109033585e-001</left_val>
-            <right_val>-1.4009909331798553e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 10 2 -1.</_>
-                <_>
-                  10 1 5 1 2.</_>
-                <_>
-                  5 2 5 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3265940360724926e-002</threshold>
-            <left_val>-3.3783260732889175e-002</left_val>
-            <right_val>1.4028559625148773e-001</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 1 4 4 -1.</_>
-                <_>
-                  5 1 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2150679714977741e-002</threshold>
-            <left_val>-3.2402610778808594e-001</left_val>
-            <right_val>4.1329998522996902e-002</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 3 1 -1.</_>
-                <_>
-                  11 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4970290251076221e-003</threshold>
-            <left_val>1.1668320000171661e-001</left_val>
-            <right_val>-4.5901168137788773e-002</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 6 3 1 -1.</_>
-                <_>
-                  6 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3780330084264278e-003</threshold>
-            <left_val>2.3035770654678345e-001</left_val>
-            <right_val>-5.9925749897956848e-002</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 10 4 -1.</_>
-                <_>
-                  13 5 5 2 2.</_>
-                <_>
-                  8 7 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1058100312948227e-001</threshold>
-            <left_val>1.2656870298087597e-002</left_val>
-            <right_val>-3.2122999429702759e-001</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 11 4 1 -1.</_>
-                <_>
-                  8 11 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.5881681144237518e-003</threshold>
-            <left_val>-5.6259912252426147e-001</left_val>
-            <right_val>2.2143730893731117e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 2 3 1 -1.</_>
-                <_>
-                  16 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.8563141133636236e-003</threshold>
-            <left_val>5.0461299717426300e-002</left_val>
-            <right_val>-1.8779960274696350e-001</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 14 2 -1.</_>
-                <_>
-                  0 2 7 1 2.</_>
-                <_>
-                  7 3 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3232510089874268e-002</threshold>
-            <left_val>-3.6194700747728348e-002</left_val>
-            <right_val>3.8118681311607361e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 2 1 4 -1.</_>
-                <_>
-                  11 2 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.6123570054769516e-002</threshold>
-            <left_val>2.1880419552326202e-001</left_val>
-            <right_val>-4.5539699494838715e-003</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 1 -1.</_>
-                <_>
-                  7 2 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.2496462962590158e-005</threshold>
-            <left_val>-2.3785440623760223e-001</left_val>
-            <right_val>6.5444566309452057e-002</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 2 3 4 -1.</_>
-                <_>
-                  12 2 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.7242470085620880e-002</threshold>
-            <left_val>1.2158119678497314e-001</left_val>
-            <right_val>-1.2862590141594410e-002</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 6 3 -1.</_>
-                <_>
-                  9 0 3 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.3945877850055695e-003</threshold>
-            <left_val>-1.2558129429817200e-001</left_val>
-            <right_val>9.8872929811477661e-002</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 3 -1.</_>
-                <_>
-                  16 8 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0565370321273804e-002</threshold>
-            <left_val>-1.6977620124816895e-001</left_val>
-            <right_val>1.4602130278944969e-002</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 3 -1.</_>
-                <_>
-                  1 8 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.1733884289860725e-003</threshold>
-            <left_val>2.1745790541172028e-001</left_val>
-            <right_val>-6.1847139149904251e-002</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 3 -1.</_>
-                <_>
-                  5 3 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.1808120459318161e-002</threshold>
-            <left_val>4.5185729861259460e-001</left_val>
-            <right_val>-2.6334449648857117e-002</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 11 2 1 -1.</_>
-                <_>
-                  9 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.0804222226142883e-003</threshold>
-            <left_val>1.8054539337754250e-002</left_val>
-            <right_val>-7.1874141693115234e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 4 -1.</_>
-                <_>
-                  16 2 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.3910960406064987e-002</threshold>
-            <left_val>2.3350890725851059e-002</left_val>
-            <right_val>-2.6776230335235596e-001</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 10 4 -1.</_>
-                <_>
-                  0 5 5 2 2.</_>
-                <_>
-                  5 7 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5405980646610260e-002</threshold>
-            <left_val>-2.9497951269149780e-001</left_val>
-            <right_val>3.8374088704586029e-002</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 10 4 -1.</_>
-                <_>
-                  13 5 5 2 2.</_>
-                <_>
-                  8 7 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6777290403842926e-001</threshold>
-            <left_val>2.8599929646588862e-004</left_val>
-            <right_val>-5.5159300565719604e-001</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 12 2 -1.</_>
-                <_>
-                  1 1 6 1 2.</_>
-                <_>
-                  7 2 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3761730641126633e-002</threshold>
-            <left_val>-4.5785948634147644e-002</left_val>
-            <right_val>2.5161430239677429e-001</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 15 2 -1.</_>
-                <_>
-                  7 0 5 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.6237300634384155e-002</threshold>
-            <left_val>-3.4752521663904190e-002</left_val>
-            <right_val>2.6538351178169250e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 10 4 -1.</_>
-                <_>
-                  0 5 5 2 2.</_>
-                <_>
-                  5 7 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.1444196403026581e-002</threshold>
-            <left_val>3.5755679011344910e-002</left_val>
-            <right_val>-3.4804859757423401e-001</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3394089657813311e-003</threshold>
-            <left_val>-3.3602658659219742e-002</left_val>
-            <right_val>1.0252500325441360e-001</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 1 3 -1.</_>
-                <_>
-                  2 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.5066410675644875e-003</threshold>
-            <left_val>4.4362049549818039e-002</left_val>
-            <right_val>-2.4036149680614471e-001</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0031039710156620e-004</threshold>
-            <left_val>6.1728168278932571e-002</left_val>
-            <right_val>-5.3097378462553024e-002</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 2 -1.</_>
-                <_>
-                  6 6 1 1 2.</_>
-                <_>
-                  7 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.0237529426813126e-003</threshold>
-            <left_val>-6.2164731323719025e-002</left_val>
-            <right_val>1.8157570064067841e-001</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 3 1 -1.</_>
-                <_>
-                  12 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-6.1851800419390202e-003</threshold>
-            <left_val>9.2360317707061768e-002</left_val>
-            <right_val>-1.8650660291314125e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 1 2 -1.</_>
-                <_>
-                  5 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.3809583631809801e-005</threshold>
-            <left_val>8.8021188974380493e-002</left_val>
-            <right_val>-1.2617850303649902e-001</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 3 2 1 -1.</_>
-                <_>
-                  13 3 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.4543529599905014e-002</threshold>
-            <left_val>2.8216699138283730e-002</left_val>
-            <right_val>-3.8093110918998718e-001</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 1 2 -1.</_>
-                <_>
-                  5 3 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.3325942978262901e-003</threshold>
-            <left_val>2.8149429708719254e-002</left_val>
-            <right_val>-3.9534220099449158e-001</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 5 3 3 -1.</_>
-                <_>
-                  14 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0263289166614413e-005</threshold>
-            <left_val>1.0053239762783051e-001</left_val>
-            <right_val>-1.6846680641174316e-001</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 5 3 -1.</_>
-                <_>
-                  6 5 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.0444839745759964e-002</threshold>
-            <left_val>4.4246968626976013e-001</left_val>
-            <right_val>-2.5906469672918320e-002</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 9 8 1 -1.</_>
-                <_>
-                  7 9 4 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5071580186486244e-002</threshold>
-            <left_val>-3.9157819747924805e-001</left_val>
-            <right_val>3.2732911407947540e-002</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 6 9 -1.</_>
-                <_>
-                  2 0 2 9 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4117240682244301e-002</threshold>
-            <left_val>1.0829959809780121e-001</left_val>
-            <right_val>-1.0823729634284973e-001</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 12 3 -1.</_>
-                <_>
-                  6 5 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.8642940819263458e-002</threshold>
-            <left_val>2.5470780208706856e-002</left_val>
-            <right_val>-4.2936301231384277e-001</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 3 4 -1.</_>
-                <_>
-                  5 4 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.2909321859478951e-003</threshold>
-            <left_val>1.6408300399780273e-001</left_val>
-            <right_val>-6.6978372633457184e-002</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 3 1 -1.</_>
-                <_>
-                  12 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8071459382772446e-002</threshold>
-            <left_val>-5.0821262598037720e-001</left_val>
-            <right_val>4.2055668309330940e-003</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 1 3 -1.</_>
-                <_>
-                  6 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.8752342164516449e-003</threshold>
-            <left_val>3.0895600095391273e-002</left_val>
-            <right_val>-3.6008161306381226e-001</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 18 1 -1.</_>
-                <_>
-                  0 11 9 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3613730221986771e-002</threshold>
-            <left_val>3.5042371600866318e-002</left_val>
-            <right_val>-3.0913650989532471e-001</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 4 3 -1.</_>
-                <_>
-                  3 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.5183821395039558e-003</threshold>
-            <left_val>1.4006739854812622e-001</left_val>
-            <right_val>-8.0449193716049194e-002</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 2 4 -1.</_>
-                <_>
-                  14 7 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.9920000582933426e-002</threshold>
-            <left_val>9.9910451099276543e-003</left_val>
-            <right_val>-1.4463490247726440e-001</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 6 4 2 -1.</_>
-                <_>
-                  4 7 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.4601869285106659e-002</threshold>
-            <left_val>-3.5186180472373962e-001</left_val>
-            <right_val>3.2366871833801270e-002</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 16 9 -1.</_>
-                <_>
-                  1 3 16 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9126951098442078e-001</threshold>
-            <left_val>-2.5616630911827087e-002</left_val>
-            <right_val>4.3393591046333313e-001</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 8 6 4 -1.</_>
-                <_>
-                  6 8 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0764931589365005e-002</threshold>
-            <left_val>-5.0976359844207764e-001</left_val>
-            <right_val>2.2032100707292557e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 3 3 3 -1.</_>
-                <_>
-                  15 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7800629138946533e-002</threshold>
-            <left_val>1.9135050475597382e-002</left_val>
-            <right_val>-4.2754751443862915e-001</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 3 3 -1.</_>
-                <_>
-                  7 1 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.7978048250079155e-003</threshold>
-            <left_val>-6.5080061554908752e-002</left_val>
-            <right_val>1.5290130674839020e-001</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 3 3 -1.</_>
-                <_>
-                  11 1 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.4738159999251366e-003</threshold>
-            <left_val>1.6798080503940582e-001</left_val>
-            <right_val>-5.1510188728570938e-002</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 3 3 -1.</_>
-                <_>
-                  0 4 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.6864249482750893e-002</threshold>
-            <left_val>-5.1681691408157349e-001</left_val>
-            <right_val>2.2280450910329819e-002</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 8 3 4 -1.</_>
-                <_>
-                  12 8 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0029999539256096e-002</threshold>
-            <left_val>-3.4445670247077942e-001</left_val>
-            <right_val>2.4154469370841980e-002</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 14 2 -1.</_>
-                <_>
-                  1 0 7 1 2.</_>
-                <_>
-                  8 1 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3689860478043556e-002</threshold>
-            <left_val>-5.5780500173568726e-002</left_val>
-            <right_val>1.7974789440631866e-001</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 10 2 1 -1.</_>
-                <_>
-                  11 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5954909399151802e-003</threshold>
-            <left_val>-2.9106938838958740e-001</left_val>
-            <right_val>1.8568839877843857e-002</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 10 16 2 -1.</_>
-                <_>
-                  5 10 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5044439136981964e-002</threshold>
-            <left_val>1.4640870690345764e-001</left_val>
-            <right_val>-7.3545977473258972e-002</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 11 16 1 -1.</_>
-                <_>
-                  6 11 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.0175017677247524e-003</threshold>
-            <left_val>-6.3143156468868256e-002</left_val>
-            <right_val>1.2632110714912415e-001</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 8 3 4 -1.</_>
-                <_>
-                  5 8 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3052280060946941e-002</threshold>
-            <left_val>-4.5200330018997192e-001</left_val>
-            <right_val>2.3266959935426712e-002</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 7 -1.</_>
-                <_>
-                  16 5 1 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9564910326153040e-003</threshold>
-            <left_val>7.2890207171440125e-002</left_val>
-            <right_val>-1.5138550102710724e-001</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 2 7 -1.</_>
-                <_>
-                  1 5 1 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9179390743374825e-002</threshold>
-            <left_val>-2.7251120656728745e-002</left_val>
-            <right_val>4.2502841353416443e-001</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 2 -1.</_>
-                <_>
-                  16 8 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.5272713224403560e-005</threshold>
-            <left_val>-1.3008250296115875e-001</left_val>
-            <right_val>3.9709929376840591e-002</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 8 2 2 -1.</_>
-                <_>
-                  8 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.4395490288734436e-002</threshold>
-            <left_val>-2.2929459810256958e-001</left_val>
-            <right_val>4.1678968816995621e-002</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 8 4 3 -1.</_>
-                <_>
-                  7 9 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1709270067512989e-002</threshold>
-            <left_val>2.5639939308166504e-001</left_val>
-            <right_val>-4.5481789857149124e-002</right_val></_></_>
-        <_>
-          <!-- tree 120 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 7 2 3 -1.</_>
-                <_>
-                  8 8 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.6440530829131603e-003</threshold>
-            <left_val>2.8145501017570496e-001</left_val>
-            <right_val>-4.3814260512590408e-002</right_val></_></_>
-        <_>
-          <!-- tree 121 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 7 2 2 -1.</_>
-                <_>
-                  16 8 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7276149243116379e-002</threshold>
-            <left_val>1.1722300201654434e-002</left_val>
-            <right_val>-3.9212688803672791e-001</right_val></_></_>
-        <_>
-          <!-- tree 122 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 2 2 -1.</_>
-                <_>
-                  0 8 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8190009761601686e-003</threshold>
-            <left_val>-2.8279209136962891e-001</left_val>
-            <right_val>3.6502439528703690e-002</right_val></_></_>
-        <_>
-          <!-- tree 123 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 8 6 -1.</_>
-                <_>
-                  6 8 8 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8481500446796417e-002</threshold>
-            <left_val>-5.1169121265411377e-001</left_val>
-            <right_val>1.1270510032773018e-002</right_val></_></_>
-        <_>
-          <!-- tree 124 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 3 3 2 -1.</_>
-                <_>
-                  6 4 1 2 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>2.3208990693092346e-002</threshold>
-            <left_val>-2.9588380828499794e-002</left_val>
-            <right_val>3.4806481003761292e-001</right_val></_></_>
-        <_>
-          <!-- tree 125 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 3 1 2 -1.</_>
-                <_>
-                  14 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.8326040375977755e-003</threshold>
-            <left_val>-1.6199409961700439e-002</left_val>
-            <right_val>2.3312510550022125e-001</right_val></_></_>
-        <_>
-          <!-- tree 126 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 3 1 2 -1.</_>
-                <_>
-                  3 4 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2569040700327605e-004</threshold>
-            <left_val>8.2235969603061676e-002</left_val>
-            <right_val>-1.2257509678602219e-001</right_val></_></_>
-        <_>
-          <!-- tree 127 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 3 1 -1.</_>
-                <_>
-                  12 0 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.9403999000787735e-003</threshold>
-            <left_val>-3.2972040772438049e-001</left_val>
-            <right_val>1.6205759719014168e-002</right_val></_></_>
-        <_>
-          <!-- tree 128 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 2 2 -1.</_>
-                <_>
-                  7 10 1 1 2.</_>
-                <_>
-                  8 11 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.9995522759854794e-005</threshold>
-            <left_val>1.0087980329990387e-001</left_val>
-            <right_val>-8.4534652531147003e-002</right_val></_></_>
-        <_>
-          <!-- tree 129 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 3 1 -1.</_>
-                <_>
-                  15 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0880589261651039e-002</threshold>
-            <left_val>-5.3558897972106934e-001</left_val>
-            <right_val>6.1522522009909153e-003</right_val></_></_>
-        <_>
-          <!-- tree 130 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 1 3 -1.</_>
-                <_>
-                  3 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.4737410545349121e-003</threshold>
-            <left_val>2.2640680894255638e-002</left_val>
-            <right_val>-3.5979229211807251e-001</right_val></_></_>
-        <_>
-          <!-- tree 131 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 2 4 -1.</_>
-                <_>
-                  15 6 1 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0163559578359127e-002</threshold>
-            <left_val>-1.7618730664253235e-002</left_val>
-            <right_val>1.7577609419822693e-001</right_val></_></_>
-        <_>
-          <!-- tree 132 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 3 -1.</_>
-                <_>
-                  2 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6203319653868675e-002</threshold>
-            <left_val>-3.0511561036109924e-001</left_val>
-            <right_val>2.7852470055222511e-002</right_val></_></_>
-        <_>
-          <!-- tree 133 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 1 5 6 -1.</_>
-                <_>
-                  11 1 5 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0264959335327148e-001</threshold>
-            <left_val>9.8889827728271484e-002</left_val>
-            <right_val>-1.6635639593005180e-002</right_val></_></_>
-        <_>
-          <!-- tree 134 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 1 6 5 -1.</_>
-                <_>
-                  7 1 3 5 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8808260560035706e-001</threshold>
-            <left_val>-3.3819800615310669e-001</left_val>
-            <right_val>2.7649369090795517e-002</right_val></_></_>
-        <_>
-          <!-- tree 135 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 9 4 3 -1.</_>
-                <_>
-                  7 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.3039499111473560e-003</threshold>
-            <left_val>1.6829389333724976e-001</left_val>
-            <right_val>-4.9701988697052002e-002</right_val></_></_>
-        <_>
-          <!-- tree 136 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 3 9 -1.</_>
-                <_>
-                  3 5 1 3 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1467709541320801e-001</threshold>
-            <left_val>-8.2673180103302002e-001</left_val>
-            <right_val>9.7144627943634987e-003</right_val></_></_>
-        <_>
-          <!-- tree 137 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 3 -1.</_>
-                <_>
-                  13 1 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.4587019830942154e-002</threshold>
-            <left_val>3.8129490613937378e-001</left_val>
-            <right_val>-2.8068590909242630e-002</right_val></_></_>
-        <_>
-          <!-- tree 138 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 14 3 -1.</_>
-                <_>
-                  2 3 14 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2911230102181435e-002</threshold>
-            <left_val>-7.0285782217979431e-002</left_val>
-            <right_val>1.2464100122451782e-001</right_val></_></_>
-        <_>
-          <!-- tree 139 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 3 1 6 -1.</_>
-                <_>
-                  11 6 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.4582252204418182e-003</threshold>
-            <left_val>-5.0712950527667999e-002</left_val>
-            <right_val>6.1203949153423309e-002</right_val></_></_>
-        <_>
-          <!-- tree 140 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 3 3 6 -1.</_>
-                <_>
-                  4 5 1 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2501789629459381e-001</threshold>
-            <left_val>-6.4006787538528442e-001</left_val>
-            <right_val>1.1908539570868015e-002</right_val></_></_>
-        <_>
-          <!-- tree 141 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 3 -1.</_>
-                <_>
-                  13 1 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5444659627974033e-002</threshold>
-            <left_val>-5.8896608650684357e-002</left_val>
-            <right_val>1.0827670246362686e-001</right_val></_></_>
-        <_>
-          <!-- tree 142 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 1 -1.</_>
-                <_>
-                  5 0 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5270099975168705e-003</threshold>
-            <left_val>4.3858438730239868e-002</left_val>
-            <right_val>-1.9123759865760803e-001</right_val></_></_>
-        <_>
-          <!-- tree 143 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 6 4 -1.</_>
-                <_>
-                  15 0 3 2 2.</_>
-                <_>
-                  12 2 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3543699905276299e-003</threshold>
-            <left_val>3.6371748894453049e-002</left_val>
-            <right_val>-4.0430441498756409e-002</right_val></_></_>
-        <_>
-          <!-- tree 144 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 6 4 -1.</_>
-                <_>
-                  0 0 3 2 2.</_>
-                <_>
-                  3 2 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.5797719359397888e-002</threshold>
-            <left_val>1.6159279644489288e-001</left_val>
-            <right_val>-5.5993270128965378e-002</right_val></_></_>
-        <_>
-          <!-- tree 145 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 3 -1.</_>
-                <_>
-                  15 1 2 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2601099908351898e-002</threshold>
-            <left_val>1.7859940230846405e-001</left_val>
-            <right_val>-2.9063930734992027e-002</right_val></_></_>
-        <_>
-          <!-- tree 146 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 3 4 -1.</_>
-                <_>
-                  5 1 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.4664657711982727e-002</threshold>
-            <left_val>-1.0474080219864845e-002</left_val>
-            <right_val>8.0984550714492798e-001</right_val></_></_>
-        <_>
-          <!-- tree 147 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 2 2 1 -1.</_>
-                <_>
-                  16 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0696209938032553e-004</threshold>
-            <left_val>-4.8453640192747116e-002</left_val>
-            <right_val>6.7813120782375336e-002</right_val></_></_>
-        <_>
-          <!-- tree 148 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 2 2 1 -1.</_>
-                <_>
-                  1 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1764469672925770e-004</threshold>
-            <left_val>5.3902100771665573e-002</left_val>
-            <right_val>-1.8017460405826569e-001</right_val></_></_>
-        <_>
-          <!-- tree 149 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 1 -1.</_>
-                <_>
-                  16 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>9.8984912037849426e-003</threshold>
-            <left_val>1.9158050417900085e-002</left_val>
-            <right_val>-2.7733120322227478e-001</right_val></_></_>
-        <_>
-          <!-- tree 150 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 2 2 -1.</_>
-                <_>
-                  2 4 1 1 2.</_>
-                <_>
-                  3 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1610490037128329e-004</threshold>
-            <left_val>9.6694946289062500e-002</left_val>
-            <right_val>-8.9068733155727386e-002</right_val></_></_>
-        <_>
-          <!-- tree 151 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 4 2 2 -1.</_>
-                <_>
-                  15 4 1 1 2.</_>
-                <_>
-                  14 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.3369490411132574e-003</threshold>
-            <left_val>-3.5014580935239792e-002</left_val>
-            <right_val>2.6304298639297485e-001</right_val></_></_>
-        <_>
-          <!-- tree 152 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 2 2 -1.</_>
-                <_>
-                  2 4 1 1 2.</_>
-                <_>
-                  3 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.8220298746600747e-005</threshold>
-            <left_val>-8.2813262939453125e-002</left_val>
-            <right_val>1.0475490242242813e-001</right_val></_></_>
-        <_>
-          <!-- tree 153 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 1 -1.</_>
-                <_>
-                  16 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.5098288729786873e-003</threshold>
-            <left_val>-2.6514530181884766e-001</left_val>
-            <right_val>2.4094179272651672e-002</right_val></_></_>
-        <_>
-          <!-- tree 154 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 3 3 -1.</_>
-                <_>
-                  8 4 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2982529588043690e-002</threshold>
-            <left_val>6.4530380070209503e-002</left_val>
-            <right_val>-1.3815590739250183e-001</right_val></_></_>
-        <_>
-          <!-- tree 155 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 2 4 -1.</_>
-                <_>
-                  11 5 1 2 2.</_>
-                <_>
-                  10 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.7175510078668594e-003</threshold>
-            <left_val>-3.4010428935289383e-002</left_val>
-            <right_val>7.3918223381042480e-002</right_val></_></_>
-        <_>
-          <!-- tree 156 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 2 4 -1.</_>
-                <_>
-                  6 5 1 2 2.</_>
-                <_>
-                  7 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.9635830372571945e-003</threshold>
-            <left_val>3.1214600801467896e-001</left_val>
-            <right_val>-3.1653881072998047e-002</right_val></_></_>
-        <_>
-          <!-- tree 157 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 2 9 -1.</_>
-                <_>
-                  12 0 1 9 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.8576980587095022e-003</threshold>
-            <left_val>6.2791481614112854e-002</left_val>
-            <right_val>-4.3215770274400711e-002</right_val></_></_>
-        <_>
-          <!-- tree 158 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 9 2 -1.</_>
-                <_>
-                  6 0 9 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.7608600705862045e-002</threshold>
-            <left_val>1.8788769841194153e-002</left_val>
-            <right_val>-5.0399798154830933e-001</right_val></_></_>
-        <_>
-          <!-- tree 159 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 4 2 -1.</_>
-                <_>
-                  8 10 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1125131063163280e-003</threshold>
-            <left_val>3.5144101828336716e-002</left_val>
-            <right_val>-2.3461879789829254e-001</right_val></_></_>
-        <_>
-          <!-- tree 160 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 4 1 -1.</_>
-                <_>
-                  1 0 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.6296702027320862e-003</threshold>
-            <left_val>-5.3097987174987793e-001</left_val>
-            <right_val>1.4961520209908485e-002</right_val></_></_>
-        <_>
-          <!-- tree 161 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 6 2 -1.</_>
-                <_>
-                  12 1 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.5751709043979645e-003</threshold>
-            <left_val>5.0126578658819199e-002</left_val>
-            <right_val>-3.6364991217851639e-002</right_val></_></_>
-        <_>
-          <!-- tree 162 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 6 2 -1.</_>
-                <_>
-                  3 1 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1125350147485733e-002</threshold>
-            <left_val>-2.4575449526309967e-002</left_val>
-            <right_val>3.9593890309333801e-001</right_val></_></_>
-        <_>
-          <!-- tree 163 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 7 1 3 -1.</_>
-                <_>
-                  11 8 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0265909153968096e-003</threshold>
-            <left_val>1.1584889888763428e-001</left_val>
-            <right_val>-2.8826450929045677e-002</right_val></_></_>
-        <_>
-          <!-- tree 164 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 1 -1.</_>
-                <_>
-                  1 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.2929990189149976e-003</threshold>
-            <left_val>2.6206869632005692e-002</left_val>
-            <right_val>-3.0620381236076355e-001</right_val></_></_>
-        <_>
-          <!-- tree 165 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 4 -1.</_>
-                <_>
-                  17 8 1 2 2.</_>
-                <_>
-                  16 10 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.5255090855062008e-005</threshold>
-            <left_val>-9.1093979775905609e-002</left_val>
-            <right_val>5.6246880441904068e-002</right_val></_></_>
-        <_>
-          <!-- tree 166 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 4 -1.</_>
-                <_>
-                  0 8 1 2 2.</_>
-                <_>
-                  1 10 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1346739716827869e-002</threshold>
-            <left_val>4.4599908590316772e-001</left_val>
-            <right_val>-1.9490949809551239e-002</right_val></_></_>
-        <_>
-          <!-- tree 167 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 6 2 2 -1.</_>
-                <_>
-                  16 6 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.9465399459004402e-003</threshold>
-            <left_val>7.9005546867847443e-002</left_val>
-            <right_val>-1.0729230195283890e-001</right_val></_></_>
-        <_>
-          <!-- tree 168 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 2 2 -1.</_>
-                <_>
-                  2 6 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.3709669932723045e-002</threshold>
-            <left_val>-2.6804009079933167e-001</left_val>
-            <right_val>3.4483738243579865e-002</right_val></_></_>
-        <_>
-          <!-- tree 169 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 6 4 2 -1.</_>
-                <_>
-                  9 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.7944439798593521e-002</threshold>
-            <left_val>-3.8875928521156311e-001</left_val>
-            <right_val>4.3536517769098282e-003</right_val></_></_>
-        <_>
-          <!-- tree 170 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 4 2 -1.</_>
-                <_>
-                  7 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.1233209669589996e-003</threshold>
-            <left_val>1.1811450123786926e-001</left_val>
-            <right_val>-7.6210573315620422e-002</right_val></_></_></trees>
-      <stage_threshold>-1.5979900360107422e+000</stage_threshold>
-      <parent>17</parent>
-      <next>-1</next></_>
-    <_>
-      <!-- stage 19 -->
-      <trees>
-        <_>
-          <!-- tree 0 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 7 2 2 -1.</_>
-                <_>
-                  6 7 1 1 2.</_>
-                <_>
-                  7 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.4262988269329071e-003</threshold>
-            <left_val>-3.0050519108772278e-001</left_val>
-            <right_val>6.7211848497390747e-001</right_val></_></_>
-        <_>
-          <!-- tree 1 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 3 4 3 -1.</_>
-                <_>
-                  7 4 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.9688049331307411e-002</threshold>
-            <left_val>4.2098221182823181e-001</left_val>
-            <right_val>-1.8416300415992737e-001</right_val></_></_>
-        <_>
-          <!-- tree 2 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 3 4 -1.</_>
-                <_>
-                  7 1 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0437469929456711e-001</threshold>
-            <left_val>7.9985307529568672e-003</left_val>
-            <right_val>-1.3431090087890625e+003</right_val></_></_>
-        <_>
-          <!-- tree 3 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 6 2 -1.</_>
-                <_>
-                  8 6 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8829930573701859e-002</threshold>
-            <left_val>1.8901979923248291e-001</left_val>
-            <right_val>-3.1901699304580688e-001</right_val></_></_>
-        <_>
-          <!-- tree 4 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 0 4 7 -1.</_>
-                <_>
-                  3 0 2 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0354820713400841e-003</threshold>
-            <left_val>9.9983938038349152e-002</left_val>
-            <right_val>-3.9372038841247559e-001</right_val></_></_>
-        <_>
-          <!-- tree 5 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 1 -1.</_>
-                <_>
-                  12 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.2086473703384399e-003</threshold>
-            <left_val>-1.3759939372539520e-001</left_val>
-            <right_val>4.2291760444641113e-001</right_val></_></_>
-        <_>
-          <!-- tree 6 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 1 5 4 -1.</_>
-                <_>
-                  7 1 5 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9290760159492493e-001</threshold>
-            <left_val>-1.9123300909996033e-002</left_val>
-            <right_val>-7.1446881103515625e+002</right_val></_></_>
-        <_>
-          <!-- tree 7 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 7 2 2 -1.</_>
-                <_>
-                  11 7 1 1 2.</_>
-                <_>
-                  10 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.5846072286367416e-003</threshold>
-            <left_val>-3.0995719134807587e-002</left_val>
-            <right_val>2.8077399730682373e-001</right_val></_></_>
-        <_>
-          <!-- tree 8 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 7 2 2 -1.</_>
-                <_>
-                  6 7 1 1 2.</_>
-                <_>
-                  7 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.4157869890332222e-003</threshold>
-            <left_val>9.7298726439476013e-002</left_val>
-            <right_val>-4.8166570067405701e-001</right_val></_></_>
-        <_>
-          <!-- tree 9 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 6 3 1 -1.</_>
-                <_>
-                  12 6 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2942730467766523e-003</threshold>
-            <left_val>2.7938959002494812e-001</left_val>
-            <right_val>-4.1473869234323502e-002</right_val></_></_>
-        <_>
-          <!-- tree 10 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 3 3 1 -1.</_>
-                <_>
-                  1 3 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1245800124015659e-004</threshold>
-            <left_val>1.5364760160446167e-001</left_val>
-            <right_val>-1.6658879816532135e-001</right_val></_></_>
-        <_>
-          <!-- tree 11 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 6 16 4 -1.</_>
-                <_>
-                  9 6 8 2 2.</_>
-                <_>
-                  1 8 8 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7863340675830841e-002</threshold>
-            <left_val>7.2040103375911713e-002</left_val>
-            <right_val>-3.2273280620574951e-001</right_val></_></_>
-        <_>
-          <!-- tree 12 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 4 4 3 -1.</_>
-                <_>
-                  3 5 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-9.2770978808403015e-003</threshold>
-            <left_val>1.5470069646835327e-001</left_val>
-            <right_val>-1.5196369588375092e-001</right_val></_></_>
-        <_>
-          <!-- tree 13 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 3 4 8 -1.</_>
-                <_>
-                  9 7 4 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9009688198566437e-002</threshold>
-            <left_val>-2.1719500422477722e-001</left_val>
-            <right_val>4.7354388982057571e-002</right_val></_></_>
-        <_>
-          <!-- tree 14 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 12 2 -1.</_>
-                <_>
-                  3 5 12 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.0119819343090057e-002</threshold>
-            <left_val>2.7460759878158569e-001</left_val>
-            <right_val>-8.6348831653594971e-002</right_val></_></_>
-        <_>
-          <!-- tree 15 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 3 12 -1.</_>
-                <_>
-                  11 6 3 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.9793610274791718e-001</threshold>
-            <left_val>1.8624650314450264e-002</left_val>
-            <right_val>-5.3495907783508301e-001</right_val></_></_>
-        <_>
-          <!-- tree 16 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 3 12 -1.</_>
-                <_>
-                  4 6 3 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.8065958768129349e-002</threshold>
-            <left_val>-2.5904580950737000e-001</left_val>
-            <right_val>1.0311370342969894e-001</right_val></_></_>
-        <_>
-          <!-- tree 17 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 12 4 -1.</_>
-                <_>
-                  3 1 12 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.7357859313488007e-002</threshold>
-            <left_val>-1.1903320252895355e-001</left_val>
-            <right_val>1.6979260742664337e-001</right_val></_></_>
-        <_>
-          <!-- tree 18 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 3 -1.</_>
-                <_>
-                  6 0 6 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.9973270893096924e-002</threshold>
-            <left_val>1.6638070344924927e-001</left_val>
-            <right_val>-1.2824270129203796e-001</right_val></_></_>
-        <_>
-          <!-- tree 19 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 1 1 2 -1.</_>
-                <_>
-                  17 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.6491220816969872e-003</threshold>
-            <left_val>-2.0123389363288879e-001</left_val>
-            <right_val>2.1278910338878632e-002</right_val></_></_>
-        <_>
-          <!-- tree 20 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 1 2 -1.</_>
-                <_>
-                  0 2 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.1840978711843491e-005</threshold>
-            <left_val>1.0628490149974823e-001</left_val>
-            <right_val>-1.7940549552440643e-001</right_val></_></_>
-        <_>
-          <!-- tree 21 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 3 1 -1.</_>
-                <_>
-                  16 2 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1649549938738346e-002</threshold>
-            <left_val>-4.3736520409584045e-001</left_val>
-            <right_val>3.0724890530109406e-002</right_val></_></_>
-        <_>
-          <!-- tree 22 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 1 1 3 -1.</_>
-                <_>
-                  2 2 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.1681910194456577e-003</threshold>
-            <left_val>-3.2502311468124390e-001</left_val>
-            <right_val>5.0562191754579544e-002</right_val></_></_>
-        <_>
-          <!-- tree 23 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 10 7 2 -1.</_>
-                <_>
-                  7 11 7 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.7875070702284575e-003</threshold>
-            <left_val>-1.9940949976444244e-001</left_val>
-            <right_val>7.7970452606678009e-002</right_val></_></_>
-        <_>
-          <!-- tree 24 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 3 3 -1.</_>
-                <_>
-                  4 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3427959792315960e-003</threshold>
-            <left_val>1.4677309989929199e-001</left_val>
-            <right_val>-1.1329550296068192e-001</right_val></_></_>
-        <_>
-          <!-- tree 25 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 3 -1.</_>
-                <_>
-                  11 5 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3160399869084358e-002</threshold>
-            <left_val>-4.2170170694589615e-002</left_val>
-            <right_val>3.1582599878311157e-001</right_val></_></_>
-        <_>
-          <!-- tree 26 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 6 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.6770680025219917e-003</threshold>
-            <left_val>3.1857290863990784e-001</left_val>
-            <right_val>-5.1229890435934067e-002</right_val></_></_>
-        <_>
-          <!-- tree 27 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 3 3 -1.</_>
-                <_>
-                  9 0 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.1013960987329483e-003</threshold>
-            <left_val>3.1445540487766266e-002</left_val>
-            <right_val>-3.2645389437675476e-001</right_val></_></_>
-        <_>
-          <!-- tree 28 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 6 4 2 -1.</_>
-                <_>
-                  5 7 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.0252959802746773e-002</threshold>
-            <left_val>-4.0472069382667542e-001</left_val>
-            <right_val>3.4693039953708649e-002</right_val></_></_>
-        <_>
-          <!-- tree 29 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 4 4 -1.</_>
-                <_>
-                  8 0 2 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6413884311914444e-003</threshold>
-            <left_val>-3.3648169040679932e-001</left_val>
-            <right_val>4.1794441640377045e-002</right_val></_></_>
-        <_>
-          <!-- tree 30 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 2 4 3 -1.</_>
-                <_>
-                  7 3 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3985069245100021e-002</threshold>
-            <left_val>3.1614878773689270e-001</left_val>
-            <right_val>-4.6249549835920334e-002</right_val></_></_>
-        <_>
-          <!-- tree 31 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 5 3 1 -1.</_>
-                <_>
-                  16 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4840610325336456e-002</threshold>
-            <left_val>-7.3656052350997925e-001</left_val>
-            <right_val>8.9046377688646317e-003</right_val></_></_>
-        <_>
-          <!-- tree 32 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 3 1 -1.</_>
-                <_>
-                  1 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.4987051852513105e-005</threshold>
-            <left_val>1.1953199654817581e-001</left_val>
-            <right_val>-1.1896529793739319e-001</right_val></_></_>
-        <_>
-          <!-- tree 33 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 2 3 4 -1.</_>
-                <_>
-                  11 2 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.0412069559097290e-002</threshold>
-            <left_val>-4.0320910513401031e-002</left_val>
-            <right_val>1.6706739366054535e-001</right_val></_></_>
-        <_>
-          <!-- tree 34 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 2 1 3 -1.</_>
-                <_>
-                  3 3 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.9093589186668396e-003</threshold>
-            <left_val>4.8656750470399857e-002</left_val>
-            <right_val>-2.8003680706024170e-001</right_val></_></_>
-        <_>
-          <!-- tree 35 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 10 6 1 -1.</_>
-                <_>
-                  8 10 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.6227843314409256e-003</threshold>
-            <left_val>-4.0062141418457031e-001</left_val>
-            <right_val>3.0084159225225449e-002</right_val></_></_>
-        <_>
-          <!-- tree 36 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 14 7 -1.</_>
-                <_>
-                  7 5 7 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6841889917850494e-001</threshold>
-            <left_val>1.9700720906257629e-002</left_val>
-            <right_val>-5.4525882005691528e-001</right_val></_></_>
-        <_>
-          <!-- tree 37 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 0 1 2 -1.</_>
-                <_>
-                  17 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.9319182336330414e-003</threshold>
-            <left_val>6.6423388198018074e-003</left_val>
-            <right_val>-4.9300599098205566e-001</right_val></_></_>
-        <_>
-          <!-- tree 38 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 2 -1.</_>
-                <_>
-                  0 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.2917856818530709e-005</threshold>
-            <left_val>7.3449976742267609e-002</left_val>
-            <right_val>-1.6144999861717224e-001</right_val></_></_>
-        <_>
-          <!-- tree 39 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 2 -1.</_>
-                <_>
-                  12 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.0923128835856915e-003</threshold>
-            <left_val>-4.7123961150646210e-002</left_val>
-            <right_val>7.2986431419849396e-002</right_val></_></_>
-        <_>
-          <!-- tree 40 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 4 2 -1.</_>
-                <_>
-                  7 1 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.6956098675727844e-003</threshold>
-            <left_val>2.1329889073967934e-002</left_val>
-            <right_val>-5.1486510038375854e-001</right_val></_></_>
-        <_>
-          <!-- tree 41 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 2 -1.</_>
-                <_>
-                  12 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.8282760009169579e-003</threshold>
-            <left_val>1.9071890413761139e-001</left_val>
-            <right_val>-2.5422919541597366e-002</right_val></_></_>
-        <_>
-          <!-- tree 42 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 15 6 -1.</_>
-                <_>
-                  5 3 5 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.6692271232604980e-001</threshold>
-            <left_val>-6.6095298528671265e-001</left_val>
-            <right_val>1.8228070810437202e-002</right_val></_></_>
-        <_>
-          <!-- tree 43 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 12 2 -1.</_>
-                <_>
-                  12 1 6 1 2.</_>
-                <_>
-                  6 2 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.2330170273780823e-002</threshold>
-            <left_val>1.4530169963836670e-001</left_val>
-            <right_val>-1.4983410015702248e-002</right_val></_></_>
-        <_>
-          <!-- tree 44 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 7 2 3 -1.</_>
-                <_>
-                  5 7 1 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0294170118868351e-002</threshold>
-            <left_val>2.4919189512729645e-002</left_val>
-            <right_val>-4.5525848865509033e-001</right_val></_></_>
-        <_>
-          <!-- tree 45 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 5 3 2 -1.</_>
-                <_>
-                  12 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.0171580612659454e-002</threshold>
-            <left_val>-4.6189090609550476e-001</left_val>
-            <right_val>3.3882521092891693e-003</right_val></_></_>
-        <_>
-          <!-- tree 46 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 3 2 -1.</_>
-                <_>
-                  5 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7148168087005615e-003</threshold>
-            <left_val>1.9720679521560669e-001</left_val>
-            <right_val>-6.3187547028064728e-002</right_val></_></_>
-        <_>
-          <!-- tree 47 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 5 4 3 -1.</_>
-                <_>
-                  10 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0056415647268295e-003</threshold>
-            <left_val>1.8307769298553467e-001</left_val>
-            <right_val>-7.2591513395309448e-002</right_val></_></_>
-        <_>
-          <!-- tree 48 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 5 4 3 -1.</_>
-                <_>
-                  6 5 2 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0803050361573696e-002</threshold>
-            <left_val>2.9357129335403442e-001</left_val>
-            <right_val>-5.2083630114793777e-002</right_val></_></_>
-        <_>
-          <!-- tree 49 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 3 6 2 -1.</_>
-                <_>
-                  10 3 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.2687910124659538e-002</threshold>
-            <left_val>-2.2910049557685852e-001</left_val>
-            <right_val>2.9485609382390976e-002</right_val></_></_>
-        <_>
-          <!-- tree 50 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 8 3 1 -1.</_>
-                <_>
-                  8 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.0813551321625710e-003</threshold>
-            <left_val>2.8026320040225983e-002</left_val>
-            <right_val>-3.9691281318664551e-001</right_val></_></_>
-        <_>
-          <!-- tree 51 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 2 4 -1.</_>
-                <_>
-                  11 5 1 2 2.</_>
-                <_>
-                  10 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.2932283878326416e-003</threshold>
-            <left_val>-2.3965410888195038e-002</left_val>
-            <right_val>1.1968089640140533e-001</right_val></_></_>
-        <_>
-          <!-- tree 52 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 3 6 2 -1.</_>
-                <_>
-                  6 3 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3424040526151657e-002</threshold>
-            <left_val>-2.8772619366645813e-001</left_val>
-            <right_val>3.8220979273319244e-002</right_val></_></_>
-        <_>
-          <!-- tree 53 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 12 2 -1.</_>
-                <_>
-                  12 1 6 1 2.</_>
-                <_>
-                  6 2 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.5453490018844604e-002</threshold>
-            <left_val>-8.9001321792602539e-001</left_val>
-            <right_val>9.9092291202396154e-004</right_val></_></_>
-        <_>
-          <!-- tree 54 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 12 2 -1.</_>
-                <_>
-                  0 1 6 1 2.</_>
-                <_>
-                  6 2 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.0602909848093987e-002</threshold>
-            <left_val>2.4050650000572205e-001</left_val>
-            <right_val>-4.7928169369697571e-002</right_val></_></_>
-        <_>
-          <!-- tree 55 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 0 2 3 -1.</_>
-                <_>
-                  8 1 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.1518528275191784e-003</threshold>
-            <left_val>2.2132579982280731e-001</left_val>
-            <right_val>-6.0036528855562210e-002</right_val></_></_>
-        <_>
-          <!-- tree 56 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 3 2 -1.</_>
-                <_>
-                  7 1 3 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1199801489710808e-003</threshold>
-            <left_val>-8.7927162647247314e-002</left_val>
-            <right_val>1.6041250526905060e-001</right_val></_></_>
-        <_>
-          <!-- tree 57 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 3 3 -1.</_>
-                <_>
-                  13 1 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>3.9387959986925125e-002</threshold>
-            <left_val>1.0958000086247921e-002</left_val>
-            <right_val>-2.2292630374431610e-001</right_val></_></_>
-        <_>
-          <!-- tree 58 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 3 3 -1.</_>
-                <_>
-                  5 1 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0546170175075531e-002</threshold>
-            <left_val>5.3426049649715424e-002</left_val>
-            <right_val>-2.7179110050201416e-001</right_val></_></_>
-        <_>
-          <!-- tree 59 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 0 4 2 -1.</_>
-                <_>
-                  11 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1257980018854141e-002</threshold>
-            <left_val>-5.5188918113708496e-001</left_val>
-            <right_val>1.2321829795837402e-002</right_val></_></_>
-        <_>
-          <!-- tree 60 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 7 2 1 -1.</_>
-                <_>
-                  6 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.8547599868034013e-005</threshold>
-            <left_val>-1.0614909976720810e-001</left_val>
-            <right_val>1.0695829987525940e-001</right_val></_></_>
-        <_>
-          <!-- tree 61 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 2 3 4 -1.</_>
-                <_>
-                  11 2 3 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.4024679549038410e-003</threshold>
-            <left_val>-6.3827931880950928e-002</left_val>
-            <right_val>3.6412809044122696e-002</right_val></_></_>
-        <_>
-          <!-- tree 62 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 6 2 4 -1.</_>
-                <_>
-                  6 6 1 4 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.5279590860009193e-002</threshold>
-            <left_val>-2.3291009664535522e-001</left_val>
-            <right_val>5.1007620990276337e-002</right_val></_></_>
-        <_>
-          <!-- tree 63 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 5 2 6 -1.</_>
-                <_>
-                  16 7 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.5645029991865158e-002</threshold>
-            <left_val>1.4120610430836678e-003</left_val>
-            <right_val>-5.9250742197036743e-001</right_val></_></_>
-        <_>
-          <!-- tree 64 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 2 6 -1.</_>
-                <_>
-                  0 7 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.3897020146250725e-002</threshold>
-            <left_val>2.4702310562133789e-002</left_val>
-            <right_val>-4.1002118587493896e-001</right_val></_></_>
-        <_>
-          <!-- tree 65 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 6 3 2 -1.</_>
-                <_>
-                  16 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7050260677933693e-002</threshold>
-            <left_val>8.3261402323842049e-003</left_val>
-            <right_val>-3.5209038853645325e-001</right_val></_></_>
-        <_>
-          <!-- tree 66 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 3 2 -1.</_>
-                <_>
-                  1 6 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.8733973205089569e-003</threshold>
-            <left_val>2.3625299334526062e-001</left_val>
-            <right_val>-4.2287878692150116e-002</right_val></_></_>
-        <_>
-          <!-- tree 67 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 5 3 4 -1.</_>
-                <_>
-                  16 5 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5967480614781380e-002</threshold>
-            <left_val>-3.5506701469421387e-001</left_val>
-            <right_val>1.0870999656617641e-002</right_val></_></_>
-        <_>
-          <!-- tree 68 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 3 4 -1.</_>
-                <_>
-                  1 5 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.1288940012454987e-003</threshold>
-            <left_val>-7.0529833436012268e-002</left_val>
-            <right_val>1.7466700077056885e-001</right_val></_></_>
-        <_>
-          <!-- tree 69 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 3 -1.</_>
-                <_>
-                  17 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.2364799194037914e-003</threshold>
-            <left_val>2.0953370258212090e-002</left_val>
-            <right_val>-3.3864089846611023e-001</right_val></_></_>
-        <_>
-          <!-- tree 70 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 4 2 -1.</_>
-                <_>
-                  5 0 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.0087850540876389e-003</threshold>
-            <left_val>2.9292659834027290e-002</left_val>
-            <right_val>-3.4224748611450195e-001</right_val></_></_>
-        <_>
-          <!-- tree 71 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 0 1 2 -1.</_>
-                <_>
-                  11 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.9541790708899498e-002</threshold>
-            <left_val>1.5414350200444460e-003</left_val>
-            <right_val>-2.3330779373645782e-001</right_val></_></_>
-        <_>
-          <!-- tree 72 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 0 2 1 -1.</_>
-                <_>
-                  7 0 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.2687229551374912e-002</threshold>
-            <left_val>-3.2202750444412231e-002</left_val>
-            <right_val>3.4885931015014648e-001</right_val></_></_>
-        <_>
-          <!-- tree 73 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 4 17 4 -1.</_>
-                <_>
-                  1 5 17 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1968150287866592e-002</threshold>
-            <left_val>7.6574698090553284e-002</left_val>
-            <right_val>-1.1693509668111801e-001</right_val></_></_>
-        <_>
-          <!-- tree 74 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 18 12 -1.</_>
-                <_>
-                  0 3 18 6 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.4089142084121704e-001</threshold>
-            <left_val>-3.7160590291023254e-001</left_val>
-            <right_val>2.8848029673099518e-002</right_val></_></_>
-        <_>
-          <!-- tree 75 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 1 2 -1.</_>
-                <_>
-                  14 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2128669914091006e-004</threshold>
-            <left_val>3.5618349909782410e-002</left_val>
-            <right_val>-8.1658117473125458e-002</right_val></_></_>
-        <_>
-          <!-- tree 76 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 9 2 1 -1.</_>
-                <_>
-                  4 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.1257309961365536e-004</threshold>
-            <left_val>6.1848249286413193e-002</left_val>
-            <right_val>-1.7893390357494354e-001</right_val></_></_>
-        <_>
-          <!-- tree 77 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 10 4 -1.</_>
-                <_>
-                  13 5 5 2 2.</_>
-                <_>
-                  8 7 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5692369639873505e-001</threshold>
-            <left_val>2.0418250933289528e-003</left_val>
-            <right_val>-3.8372790813446045e-001</right_val></_></_>
-        <_>
-          <!-- tree 78 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 1 3 -1.</_>
-                <_>
-                  0 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.9397590551525354e-003</threshold>
-            <left_val>3.6909751594066620e-002</left_val>
-            <right_val>-2.6979750394821167e-001</right_val></_></_>
-        <_>
-          <!-- tree 79 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 6 3 3 -1.</_>
-                <_>
-                  15 6 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5340609718114138e-003</threshold>
-            <left_val>1.2149509787559509e-001</left_val>
-            <right_val>-1.0271450132131577e-001</right_val></_></_>
-        <_>
-          <!-- tree 80 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 6 3 3 -1.</_>
-                <_>
-                  2 6 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.0472261868417263e-003</threshold>
-            <left_val>-5.1498528569936752e-002</left_val>
-            <right_val>1.9663390517234802e-001</right_val></_></_>
-        <_>
-          <!-- tree 81 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 3 1 -1.</_>
-                <_>
-                  15 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.5378870088607073e-003</threshold>
-            <left_val>1.1377040296792984e-001</left_val>
-            <right_val>-1.2270720303058624e-001</right_val></_></_>
-        <_>
-          <!-- tree 82 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 2 8 2 -1.</_>
-                <_>
-                  9 2 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.9171670079231262e-001</threshold>
-            <left_val>2.0281049609184265e-001</left_val>
-            <right_val>-5.9293661266565323e-002</right_val></_></_>
-        <_>
-          <!-- tree 83 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 5 3 1 -1.</_>
-                <_>
-                  15 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.8194790706038475e-002</threshold>
-            <left_val>-4.0183740854263306e-001</left_val>
-            <right_val>9.4950878992676735e-003</right_val></_></_>
-        <_>
-          <!-- tree 84 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 5 1 3 -1.</_>
-                <_>
-                  3 6 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.7471040375530720e-003</threshold>
-            <left_val>1.3657639920711517e-001</left_val>
-            <right_val>-8.3562202751636505e-002</right_val></_></_>
-        <_>
-          <!-- tree 85 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 5 2 2 -1.</_>
-                <_>
-                  13 5 1 1 2.</_>
-                <_>
-                  12 6 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.3678690195083618e-003</threshold>
-            <left_val>2.8895410895347595e-001</left_val>
-            <right_val>-7.0791177451610565e-002</right_val></_></_>
-        <_>
-          <!-- tree 86 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 2 1 -1.</_>
-                <_>
-                  8 9 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.0364330373704433e-002</threshold>
-            <left_val>-3.6532059311866760e-001</left_val>
-            <right_val>3.1027559190988541e-002</right_val></_></_>
-        <_>
-          <!-- tree 87 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 1 -1.</_>
-                <_>
-                  16 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1868910882622004e-003</threshold>
-            <left_val>1.2471160292625427e-001</left_val>
-            <right_val>-2.1058630198240280e-002</right_val></_></_>
-        <_>
-          <!-- tree 88 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 3 2 -1.</_>
-                <_>
-                  4 0 3 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.5623000450432301e-002</threshold>
-            <left_val>-2.9756268858909607e-001</left_val>
-            <right_val>3.3180721104145050e-002</right_val></_></_>
-        <_>
-          <!-- tree 89 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 0 16 2 -1.</_>
-                <_>
-                  10 0 8 1 2.</_>
-                <_>
-                  2 1 8 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.7447229474782944e-003</threshold>
-            <left_val>-5.5369090288877487e-002</left_val>
-            <right_val>8.0895766615867615e-002</right_val></_></_>
-        <_>
-          <!-- tree 90 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 3 3 -1.</_>
-                <_>
-                  4 1 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.7693594396114349e-003</threshold>
-            <left_val>2.0353169739246368e-001</left_val>
-            <right_val>-5.9447389096021652e-002</right_val></_></_>
-        <_>
-          <!-- tree 91 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 0 2 1 -1.</_>
-                <_>
-                  16 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0933070007013157e-004</threshold>
-            <left_val>-5.3917091339826584e-002</left_val>
-            <right_val>6.7618027329444885e-002</right_val></_></_>
-        <_>
-          <!-- tree 92 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 1 -1.</_>
-                <_>
-                  1 0 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.2108810187783092e-004</threshold>
-            <left_val>5.5683720856904984e-002</left_val>
-            <right_val>-1.7708249390125275e-001</right_val></_></_>
-        <_>
-          <!-- tree 93 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 4 4 -1.</_>
-                <_>
-                  16 0 2 2 2.</_>
-                <_>
-                  14 2 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.8970606923103333e-003</threshold>
-            <left_val>9.2097222805023193e-002</left_val>
-            <right_val>-3.7907868623733521e-002</right_val></_></_>
-        <_>
-          <!-- tree 94 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 4 4 -1.</_>
-                <_>
-                  0 0 2 2 2.</_>
-                <_>
-                  2 2 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.3500072099268436e-003</threshold>
-            <left_val>1.4658580720424652e-001</left_val>
-            <right_val>-7.1295157074928284e-002</right_val></_></_>
-        <_>
-          <!-- tree 95 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 0 3 1 -1.</_>
-                <_>
-                  15 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.7157528139650822e-003</threshold>
-            <left_val>-2.1293020248413086e-001</left_val>
-            <right_val>3.0109029263257980e-002</right_val></_></_>
-        <_>
-          <!-- tree 96 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 1 3 -1.</_>
-                <_>
-                  3 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.2461022064089775e-003</threshold>
-            <left_val>-2.4743880331516266e-001</left_val>
-            <right_val>3.6422520875930786e-002</right_val></_></_>
-        <_>
-          <!-- tree 97 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 3 -1.</_>
-                <_>
-                  5 3 8 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.5332200825214386e-002</threshold>
-            <left_val>-4.3887101113796234e-002</left_val>
-            <right_val>2.2771969437599182e-001</right_val></_></_>
-        <_>
-          <!-- tree 98 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 2 2 -1.</_>
-                <_>
-                  0 0 1 1 2.</_>
-                <_>
-                  1 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0587189899524674e-004</threshold>
-            <left_val>1.0036029666662216e-001</left_val>
-            <right_val>-9.9796630442142487e-002</right_val></_></_>
-        <_>
-          <!-- tree 99 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 12 2 -1.</_>
-                <_>
-                  6 0 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1086790263652802e-001</threshold>
-            <left_val>-2.6335340738296509e-001</left_val>
-            <right_val>1.9541220739483833e-002</right_val></_></_>
-        <_>
-          <!-- tree 100 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 12 2 -1.</_>
-                <_>
-                  6 0 6 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4828580431640148e-002</threshold>
-            <left_val>-6.1396230012178421e-002</left_val>
-            <right_val>1.5963110327720642e-001</right_val></_></_>
-        <_>
-          <!-- tree 101 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 10 4 -1.</_>
-                <_>
-                  13 5 5 2 2.</_>
-                <_>
-                  8 7 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.1451540194684640e-004</threshold>
-            <left_val>-3.4139700233936310e-002</left_val>
-            <right_val>1.8776599317789078e-002</right_val></_></_>
-        <_>
-          <!-- tree 102 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 5 10 4 -1.</_>
-                <_>
-                  0 5 5 2 2.</_>
-                <_>
-                  5 7 5 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0391230136156082e-001</threshold>
-            <left_val>1.8342059105634689e-002</left_val>
-            <right_val>-5.5741232633590698e-001</right_val></_></_>
-        <_>
-          <!-- tree 103 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 4 1 3 -1.</_>
-                <_>
-                  17 5 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.8403440956026316e-003</threshold>
-            <left_val>-1.6176800429821014e-001</left_val>
-            <right_val>4.2230840772390366e-002</right_val></_></_>
-        <_>
-          <!-- tree 104 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 2 3 -1.</_>
-                <_>
-                  1 8 1 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.9837881922721863e-003</threshold>
-            <left_val>1.2188349664211273e-001</left_val>
-            <right_val>-7.5493358075618744e-002</right_val></_></_>
-        <_>
-          <!-- tree 105 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 9 6 2 -1.</_>
-                <_>
-                  14 9 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.6931989938020706e-002</threshold>
-            <left_val>-2.7949911355972290e-001</left_val>
-            <right_val>1.8144300207495689e-002</right_val></_></_>
-        <_>
-          <!-- tree 106 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 6 2 -1.</_>
-                <_>
-                  2 9 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.3719637691974640e-003</threshold>
-            <left_val>-7.2795078158378601e-002</left_val>
-            <right_val>1.5270389616489410e-001</right_val></_></_>
-        <_>
-          <!-- tree 107 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 4 3 5 -1.</_>
-                <_>
-                  11 5 1 5 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.1068520396947861e-002</threshold>
-            <left_val>-8.6038000881671906e-003</left_val>
-            <right_val>2.9300528764724731e-001</right_val></_></_>
-        <_>
-          <!-- tree 108 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 4 5 3 -1.</_>
-                <_>
-                  7 5 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.8765709847211838e-002</threshold>
-            <left_val>2.6667380332946777e-001</left_val>
-            <right_val>-3.6998551338911057e-002</right_val></_></_>
-        <_>
-          <!-- tree 109 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 8 2 1 -1.</_>
-                <_>
-                  9 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.3269529230892658e-003</threshold>
-            <left_val>-2.3761349916458130e-001</left_val>
-            <right_val>3.2018061727285385e-002</right_val></_></_>
-        <_>
-          <!-- tree 110 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 8 2 1 -1.</_>
-                <_>
-                  8 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>8.5056803072802722e-005</threshold>
-            <left_val>-7.0894226431846619e-002</left_val>
-            <right_val>1.2628500163555145e-001</right_val></_></_>
-        <_>
-          <!-- tree 111 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 8 6 2 -1.</_>
-                <_>
-                  8 8 2 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.1096479147672653e-002</threshold>
-            <left_val>2.4189710617065430e-002</left_val>
-            <right_val>-5.0479072332382202e-001</right_val></_></_>
-        <_>
-          <!-- tree 112 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 8 4 3 -1.</_>
-                <_>
-                  7 9 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.5069710090756416e-002</threshold>
-            <left_val>-4.9047719687223434e-002</left_val>
-            <right_val>2.0302620530128479e-001</right_val></_></_>
-        <_>
-          <!-- tree 113 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7079169629141688e-003</threshold>
-            <left_val>9.5796592533588409e-002</left_val>
-            <right_val>-3.4222289919853210e-002</right_val></_></_>
-        <_>
-          <!-- tree 114 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 0 4 1 -1.</_>
-                <_>
-                  7 0 2 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1216560639441013e-003</threshold>
-            <left_val>2.4934209883213043e-002</left_val>
-            <right_val>-3.6697131395339966e-001</right_val></_></_>
-        <_>
-          <!-- tree 115 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 2 4 -1.</_>
-                <_>
-                  11 5 1 2 2.</_>
-                <_>
-                  10 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.1798160895705223e-003</threshold>
-            <left_val>-2.5011969730257988e-002</left_val>
-            <right_val>7.8190803527832031e-002</right_val></_></_>
-        <_>
-          <!-- tree 116 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 4 2 3 -1.</_>
-                <_>
-                  0 5 2 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0259440168738365e-002</threshold>
-            <left_val>-3.8385409116744995e-001</left_val>
-            <right_val>2.3607190698385239e-002</right_val></_></_>
-        <_>
-          <!-- tree 117 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 6 2 2 -1.</_>
-                <_>
-                  11 6 1 1 2.</_>
-                <_>
-                  10 7 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.2493520304560661e-003</threshold>
-            <left_val>-1.8063470721244812e-002</left_val>
-            <right_val>9.7392469644546509e-002</right_val></_></_>
-        <_>
-          <!-- tree 118 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 7 2 2 -1.</_>
-                <_>
-                  8 7 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8078900873661041e-002</threshold>
-            <left_val>-2.8260070085525513e-001</left_val>
-            <right_val>3.2420400530099869e-002</right_val></_></_>
-        <_>
-          <!-- tree 119 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 4 1 2 -1.</_>
-                <_>
-                  15 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0033250146079808e-004</threshold>
-            <left_val>5.8378711342811584e-002</left_val>
-            <right_val>-9.5965467393398285e-002</right_val></_></_>
-        <_>
-          <!-- tree 120 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 2 4 -1.</_>
-                <_>
-                  6 5 1 2 2.</_>
-                <_>
-                  7 7 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.5636470206081867e-003</threshold>
-            <left_val>-6.2373951077461243e-002</left_val>
-            <right_val>1.3677039742469788e-001</right_val></_></_>
-        <_>
-          <!-- tree 121 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 3 1 4 -1.</_>
-                <_>
-                  12 3 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.9635799378156662e-002</threshold>
-            <left_val>7.6047349721193314e-003</left_val>
-            <right_val>-3.7049409747123718e-001</right_val></_></_>
-        <_>
-          <!-- tree 122 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  1 1 2 1 -1.</_>
-                <_>
-                  2 1 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.1734029976651073e-004</threshold>
-            <left_val>5.6312419474124908e-002</left_val>
-            <right_val>-1.6223900020122528e-001</right_val></_></_>
-        <_>
-          <!-- tree 123 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 0 6 4 -1.</_>
-                <_>
-                  14 0 2 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.2071691006422043e-002</threshold>
-            <left_val>1.7075739800930023e-002</left_val>
-            <right_val>-1.7555209994316101e-001</right_val></_></_>
-        <_>
-          <!-- tree 124 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 0 1 3 -1.</_>
-                <_>
-                  0 1 1 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-9.0831192210316658e-005</threshold>
-            <left_val>9.6431486308574677e-002</left_val>
-            <right_val>-9.5327220857143402e-002</right_val></_></_>
-        <_>
-          <!-- tree 125 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 0 12 2 -1.</_>
-                <_>
-                  11 0 6 1 2.</_>
-                <_>
-                  5 1 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.1735259108245373e-003</threshold>
-            <left_val>-3.5405401140451431e-002</left_val>
-            <right_val>5.5357661098241806e-002</right_val></_></_>
-        <_>
-          <!-- tree 126 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 1 12 3 -1.</_>
-                <_>
-                  6 1 4 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.9976980760693550e-002</threshold>
-            <left_val>8.3683349192142487e-002</left_val>
-            <right_val>-1.0876650363206863e-001</right_val></_></_>
-        <_>
-          <!-- tree 127 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 2 8 3 -1.</_>
-                <_>
-                  7 2 4 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.8275059312582016e-002</threshold>
-            <left_val>-2.4115200340747833e-001</left_val>
-            <right_val>4.2547758668661118e-002</right_val></_></_>
-        <_>
-          <!-- tree 128 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 4 -1.</_>
-                <_>
-                  3 1 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.6104370374232531e-003</threshold>
-            <left_val>-7.1690596640110016e-002</left_val>
-            <right_val>1.3356970250606537e-001</right_val></_></_>
-        <_>
-          <!-- tree 129 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 1 4 3 -1.</_>
-                <_>
-                  14 2 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.7101410552859306e-002</threshold>
-            <left_val>1.6210360452532768e-002</left_val>
-            <right_val>-3.3410280942916870e-001</right_val></_></_>
-        <_>
-          <!-- tree 130 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 11 15 1 -1.</_>
-                <_>
-                  5 11 5 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.4129230342805386e-003</threshold>
-            <left_val>-7.1663141250610352e-002</left_val>
-            <right_val>1.4046929776668549e-001</right_val></_></_>
-        <_>
-          <!-- tree 131 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 1 3 3 -1.</_>
-                <_>
-                  15 2 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.6567030921578407e-002</threshold>
-            <left_val>8.9016826823353767e-003</left_val>
-            <right_val>-1.1316739767789841e-001</right_val></_></_>
-        <_>
-          <!-- tree 132 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 6 4 6 -1.</_>
-                <_>
-                  0 8 4 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.4526550471782684e-002</threshold>
-            <left_val>1.4559620060026646e-002</left_val>
-            <right_val>-6.1538118124008179e-001</right_val></_></_>
-        <_>
-          <!-- tree 133 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 4 1 2 -1.</_>
-                <_>
-                  14 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.8156858906149864e-003</threshold>
-            <left_val>-1.9643720239400864e-002</left_val>
-            <right_val>4.3227869272232056e-001</right_val></_></_>
-        <_>
-          <!-- tree 134 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 4 1 2 -1.</_>
-                <_>
-                  3 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.8827422587200999e-005</threshold>
-            <left_val>9.6494443714618683e-002</left_val>
-            <right_val>-9.7575537860393524e-002</right_val></_></_>
-        <_>
-          <!-- tree 135 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 2 6 6 -1.</_>
-                <_>
-                  12 4 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-8.9457683265209198e-002</threshold>
-            <left_val>7.5192607939243317e-002</left_val>
-            <right_val>-4.5244731009006500e-002</right_val></_></_>
-        <_>
-          <!-- tree 136 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 2 6 6 -1.</_>
-                <_>
-                  4 4 2 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.1514390408992767e-001</threshold>
-            <left_val>-4.5402219891548157e-001</left_val>
-            <right_val>1.9804859533905983e-002</right_val></_></_>
-        <_>
-          <!-- tree 137 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 1 3 -1.</_>
-                <_>
-                  8 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.2561500072479248e-002</threshold>
-            <left_val>-2.4084420502185822e-001</left_val>
-            <right_val>1.3274069875478745e-002</right_val></_></_>
-        <_>
-          <!-- tree 138 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 0 3 1 -1.</_>
-                <_>
-                  10 1 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-8.4761697798967361e-003</threshold>
-            <left_val>2.7529099583625793e-001</left_val>
-            <right_val>-4.5817509293556213e-002</right_val></_></_>
-        <_>
-          <!-- tree 139 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 1 6 3 -1.</_>
-                <_>
-                  6 2 6 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.1104858517646790e-002</threshold>
-            <left_val>-2.5254199281334877e-002</left_val>
-            <right_val>3.1543159484863281e-001</right_val></_></_>
-        <_>
-          <!-- tree 140 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 8 1 2 -1.</_>
-                <_>
-                  0 9 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.7488082246854901e-005</threshold>
-            <left_val>-1.2215600162744522e-001</left_val>
-            <right_val>7.2712212800979614e-002</right_val></_></_>
-        <_>
-          <!-- tree 141 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  14 9 4 3 -1.</_>
-                <_>
-                  14 10 4 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.4160290360450745e-002</threshold>
-            <left_val>2.8567990288138390e-002</left_val>
-            <right_val>-3.4588310122489929e-001</right_val></_></_>
-        <_>
-          <!-- tree 142 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 4 3 -1.</_>
-                <_>
-                  9 6 2 3 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.9706948630046099e-005</threshold>
-            <left_val>5.6665088981389999e-002</left_val>
-            <right_val>-1.4329999685287476e-001</right_val></_></_>
-        <_>
-          <!-- tree 143 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 7 9 4 -1.</_>
-                <_>
-                  9 9 9 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>2.2474400699138641e-002</threshold>
-            <left_val>-2.0662429928779602e-001</left_val>
-            <right_val>2.6640780270099640e-002</right_val></_></_>
-        <_>
-          <!-- tree 144 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 9 4 -1.</_>
-                <_>
-                  0 9 9 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.7482956945896149e-002</threshold>
-            <left_val>5.0016429275274277e-002</left_val>
-            <right_val>-2.0301230251789093e-001</right_val></_></_>
-        <_>
-          <!-- tree 145 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 4 3 5 -1.</_>
-                <_>
-                  13 5 1 5 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.8470269888639450e-002</threshold>
-            <left_val>2.1042500436306000e-001</left_val>
-            <right_val>-1.9063079729676247e-002</right_val></_></_>
-        <_>
-          <!-- tree 146 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 8 1 3 -1.</_>
-                <_>
-                  2 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>7.1597727946937084e-003</threshold>
-            <left_val>-4.5765839517116547e-002</left_val>
-            <right_val>1.9567190110683441e-001</right_val></_></_>
-        <_>
-          <!-- tree 147 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  15 9 3 3 -1.</_>
-                <_>
-                  15 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.2543402202427387e-003</threshold>
-            <left_val>-3.2032880187034607e-001</left_val>
-            <right_val>2.6651080697774887e-002</right_val></_></_>
-        <_>
-          <!-- tree 148 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 4 5 3 -1.</_>
-                <_>
-                  5 5 5 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.8530499190092087e-002</threshold>
-            <left_val>1.9439229369163513e-001</left_val>
-            <right_val>-4.8699580132961273e-002</right_val></_></_>
-        <_>
-          <!-- tree 149 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 6 15 6 -1.</_>
-                <_>
-                  7 8 5 2 9.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.8783821463584900e-001</threshold>
-            <left_val>-1.6777930781245232e-002</left_val>
-            <right_val>3.7111368775367737e-001</right_val></_></_>
-        <_>
-          <!-- tree 150 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 5 12 3 -1.</_>
-                <_>
-                  6 5 6 3 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>7.6014406979084015e-002</threshold>
-            <left_val>1.7125319689512253e-002</left_val>
-            <right_val>-5.8361458778381348e-001</right_val></_></_>
-        <_>
-          <!-- tree 151 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 1 1 4 -1.</_>
-                <_>
-                  17 2 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.9989949911832809e-003</threshold>
-            <left_val>1.7290040850639343e-002</left_val>
-            <right_val>-1.2039519846439362e-001</right_val></_></_>
-        <_>
-          <!-- tree 152 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 3 3 -1.</_>
-                <_>
-                  0 10 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>9.9080810323357582e-003</threshold>
-            <left_val>2.3359630256891251e-002</left_val>
-            <right_val>-3.7375789880752563e-001</right_val></_></_>
-        <_>
-          <!-- tree 153 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 9 1 2 -1.</_>
-                <_>
-                  17 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0389750241301954e-004</threshold>
-            <left_val>-1.0736549645662308e-001</left_val>
-            <right_val>4.5764569193124771e-002</right_val></_></_>
-        <_>
-          <!-- tree 154 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 9 1 2 -1.</_>
-                <_>
-                  0 10 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0103100212290883e-003</threshold>
-            <left_val>-2.2198240458965302e-001</left_val>
-            <right_val>3.9023850113153458e-002</right_val></_></_>
-        <_>
-          <!-- tree 155 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 8 2 2 -1.</_>
-                <_>
-                  16 8 1 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-2.3250900208950043e-002</threshold>
-            <left_val>1.2186550348997116e-001</left_val>
-            <right_val>-1.8887069076299667e-002</right_val></_></_>
-        <_>
-          <!-- tree 156 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 8 2 2 -1.</_>
-                <_>
-                  2 8 2 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>8.6560938507318497e-003</threshold>
-            <left_val>-3.4802809357643127e-002</left_val>
-            <right_val>2.6685670018196106e-001</right_val></_></_>
-        <_>
-          <!-- tree 157 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 8 1 3 -1.</_>
-                <_>
-                  16 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.0738030076026917e-002</threshold>
-            <left_val>1.4226100407540798e-002</left_val>
-            <right_val>-2.1260090172290802e-001</right_val></_></_>
-        <_>
-          <!-- tree 158 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 3 3 -1.</_>
-                <_>
-                  1 7 1 3 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.5327710211277008e-003</threshold>
-            <left_val>1.3741309940814972e-001</left_val>
-            <right_val>-6.6508442163467407e-002</right_val></_></_>
-        <_>
-          <!-- tree 159 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 7 1 2 -1.</_>
-                <_>
-                  17 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.4663160331547260e-003</threshold>
-            <left_val>2.8193399310112000e-002</left_val>
-            <right_val>-8.0336898565292358e-002</right_val></_></_>
-        <_>
-          <!-- tree 160 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 7 1 2 -1.</_>
-                <_>
-                  0 8 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.0870849946513772e-003</threshold>
-            <left_val>-2.1752350032329559e-001</left_val>
-            <right_val>4.2343270033597946e-002</right_val></_></_>
-        <_>
-          <!-- tree 161 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  16 1 2 4 -1.</_>
-                <_>
-                  15 2 2 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.5930581390857697e-002</threshold>
-            <left_val>3.5099908709526062e-001</left_val>
-            <right_val>-3.8252778351306915e-002</right_val></_></_>
-        <_>
-          <!-- tree 162 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  7 4 3 3 -1.</_>
-                <_>
-                  7 5 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5020960718393326e-002</threshold>
-            <left_val>2.2377529740333557e-001</left_val>
-            <right_val>-3.8715720176696777e-002</right_val></_></_>
-        <_>
-          <!-- tree 163 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 5 3 4 -1.</_>
-                <_>
-                  14 5 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.4599849712103605e-003</threshold>
-            <left_val>7.4148297309875488e-002</left_val>
-            <right_val>-7.8528337180614471e-002</right_val></_></_>
-        <_>
-          <!-- tree 164 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 2 12 1 -1.</_>
-                <_>
-                  9 2 6 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>6.0168118216097355e-003</threshold>
-            <left_val>-1.0999929904937744e-001</left_val>
-            <right_val>7.8647941350936890e-002</right_val></_></_>
-        <_>
-          <!-- tree 165 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  4 0 10 4 -1.</_>
-                <_>
-                  4 0 5 4 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.4243890345096588e-001</threshold>
-            <left_val>-3.6323529481887817e-001</left_val>
-            <right_val>2.4560069665312767e-002</right_val></_></_>
-        <_>
-          <!-- tree 166 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 3 4 -1.</_>
-                <_>
-                  3 5 1 4 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-4.7228108160197735e-003</threshold>
-            <left_val>1.0705450177192688e-001</left_val>
-            <right_val>-7.6868243515491486e-002</right_val></_></_>
-        <_>
-          <!-- tree 167 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 3 12 -1.</_>
-                <_>
-                  14 0 1 12 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1893420964479446e-002</threshold>
-            <left_val>-3.7086701393127441e-001</left_val>
-            <right_val>2.6756819337606430e-002</right_val></_></_>
-        <_>
-          <!-- tree 168 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 4 2 2 -1.</_>
-                <_>
-                  2 4 1 1 2.</_>
-                <_>
-                  3 5 1 1 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>3.5616129171103239e-003</threshold>
-            <left_val>-3.2798498868942261e-002</left_val>
-            <right_val>2.6696491241455078e-001</right_val></_></_>
-        <_>
-          <!-- tree 169 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 0 2 12 -1.</_>
-                <_>
-                  13 0 1 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>5.4270081222057343e-002</threshold>
-            <left_val>7.0277871564030647e-003</left_val>
-            <right_val>-8.3340001106262207e-001</right_val></_></_>
-        <_>
-          <!-- tree 170 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  3 0 2 12 -1.</_>
-                <_>
-                  4 0 1 12 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>4.1021820157766342e-002</threshold>
-            <left_val>8.8532911613583565e-003</left_val>
-            <right_val>-7.8412932157516479e-001</right_val></_></_>
-        <_>
-          <!-- tree 171 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  17 1 1 4 -1.</_>
-                <_>
-                  17 2 1 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.7731649801135063e-002</threshold>
-            <left_val>-4.3762990832328796e-001</left_val>
-            <right_val>-6.9212907692417502e-004</right_val></_></_>
-        <_>
-          <!-- tree 172 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 3 3 -1.</_>
-                <_>
-                  0 2 3 1 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>1.0361500084400177e-002</threshold>
-            <left_val>2.4823799729347229e-002</left_val>
-            <right_val>-3.1671279668807983e-001</right_val></_></_>
-        <_>
-          <!-- tree 173 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 3 2 -1.</_>
-                <_>
-                  9 5 1 2 3.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-7.0502250455319881e-003</threshold>
-            <left_val>1.2061820179224014e-001</left_val>
-            <right_val>-4.4687919318675995e-002</right_val></_></_>
-        <_>
-          <!-- tree 174 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  2 5 1 2 -1.</_>
-                <_>
-                  2 5 1 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.6122040105983615e-003</threshold>
-            <left_val>6.3392668962478638e-002</left_val>
-            <right_val>-1.2448409944772720e-001</right_val></_></_>
-        <_>
-          <!-- tree 175 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  13 1 4 3 -1.</_>
-                <_>
-                  12 2 4 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.6751599758863449e-002</threshold>
-            <left_val>-3.2111309468746185e-002</left_val>
-            <right_val>3.8545480370521545e-001</right_val></_></_>
-        <_>
-          <!-- tree 176 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  5 1 3 4 -1.</_>
-                <_>
-                  6 2 1 4 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>1.5507729724049568e-002</threshold>
-            <left_val>-4.6862591058015823e-002</left_val>
-            <right_val>1.9358439743518829e-001</right_val></_></_>
-        <_>
-          <!-- tree 177 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 2 6 -1.</_>
-                <_>
-                  9 1 1 6 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>4.2960081249475479e-002</threshold>
-            <left_val>-1.0605080053210258e-002</left_val>
-            <right_val>1.3616879284381866e-001</right_val></_></_>
-        <_>
-          <!-- tree 178 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  9 1 6 2 -1.</_>
-                <_>
-                  9 1 6 1 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>5.3200960159301758e-002</threshold>
-            <left_val>2.9277659952640533e-002</left_val>
-            <right_val>-3.0889630317687988e-001</right_val></_></_>
-        <_>
-          <!-- tree 179 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  12 1 6 4 -1.</_>
-                <_>
-                  15 1 3 2 2.</_>
-                <_>
-                  12 3 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-2.5974009186029434e-002</threshold>
-            <left_val>8.4145203232765198e-002</left_val>
-            <right_val>-3.3409930765628815e-002</right_val></_></_>
-        <_>
-          <!-- tree 180 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  0 1 6 4 -1.</_>
-                <_>
-                  0 1 3 2 2.</_>
-                <_>
-                  3 3 3 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.8476620316505432e-002</threshold>
-            <left_val>1.4825859665870667e-001</left_val>
-            <right_val>-5.3597509860992432e-002</right_val></_></_>
-        <_>
-          <!-- tree 181 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 4 7 -1.</_>
-                <_>
-                  9 5 2 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-1.3039880432188511e-003</threshold>
-            <left_val>4.0190171450376511e-002</left_val>
-            <right_val>-9.2481881380081177e-002</right_val></_></_>
-        <_>
-          <!-- tree 182 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 5 4 7 -1.</_>
-                <_>
-                  7 5 2 7 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-3.1569059938192368e-003</threshold>
-            <left_val>8.6595647037029266e-002</left_val>
-            <right_val>-1.2246470153331757e-001</right_val></_></_>
-        <_>
-          <!-- tree 183 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 9 4 2 -1.</_>
-                <_>
-                  9 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-6.9843409582972527e-003</threshold>
-            <left_val>-3.1575238704681396e-001</left_val>
-            <right_val>2.5440100580453873e-002</right_val></_></_>
-        <_>
-          <!-- tree 184 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 9 4 2 -1.</_>
-                <_>
-                  7 9 2 2 2.</_></rects>
-              <tilted>0</tilted></feature>
-            <threshold>-5.6869657710194588e-003</threshold>
-            <left_val>-2.8521931171417236e-001</left_val>
-            <right_val>3.2773211598396301e-002</right_val></_></_>
-        <_>
-          <!-- tree 185 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  10 5 3 3 -1.</_>
-                <_>
-                  11 6 1 3 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-1.7049470916390419e-002</threshold>
-            <left_val>7.7424846589565277e-002</left_val>
-            <right_val>-3.9009008556604385e-002</right_val></_></_>
-        <_>
-          <!-- tree 186 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  8 5 3 3 -1.</_>
-                <_>
-                  7 6 3 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-3.3813931047916412e-002</threshold>
-            <left_val>4.3394011259078979e-001</left_val>
-            <right_val>-2.1828850731253624e-002</right_val></_></_>
-        <_>
-          <!-- tree 187 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  11 2 4 4 -1.</_>
-                <_>
-                  11 2 4 2 2.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-7.7675722539424896e-002</threshold>
-            <left_val>1.6437239944934845e-001</left_val>
-            <right_val>-1.6524160280823708e-002</right_val></_></_>
-        <_>
-          <!-- tree 188 -->
-          <_>
-            <!-- root node -->
-            <feature>
-              <rects>
-                <_>
-                  6 8 1 3 -1.</_>
-                <_>
-                  5 9 1 1 3.</_></rects>
-              <tilted>1</tilted></feature>
-            <threshold>-4.9925399944186211e-003</threshold>
-            <left_val>1.7385929822921753e-001</left_val>
-            <right_val>-4.9703989177942276e-002</right_val></_></_></trees>
-      <stage_threshold>-1.5637309551239014e+000</stage_threshold>
-      <parent>18</parent>
-      <next>-1</next></_></stages></classifier_OjoD_18_12_SIANIfacity>
-</opencv_storage>
diff --git a/data/haarcascades/haarcascade_mcs_upperbody.xml b/data/haarcascades/haarcascade_mcs_upperbody.xml
deleted file mode 100644
index 76ba9ceef9..0000000000
--- a/data/haarcascades/haarcascade_mcs_upperbody.xml
+++ /dev/null
@@ -1,37318 +0,0 @@
-<?xml version="1.0"?>
-<!--
-22x20 Head and shoulders detector
-2006-present, Modesto Castrillon-Santana (SIANI, Universidad de Las Palmas de Gran Canaria, Spain.
-
-COMMERCIAL USE:
-If you have any commercial interest in this work contact mcastrillon@iusiani.ulpgc.es
-
-Creative Commons Attribution-NonCommercial 4.0 International Public License
-
-By exercising the Licensed Rights (defined below), You accept and agree to be bound by the terms and conditions of this Creative Commons Attribution-NonCommercial 4.0 International
-Public License ("Public License"). To the extent this Public License may be interpreted as a contract, You are granted the Licensed Rights in consideration of Your acceptance of these
-terms and conditions, and the Licensor grants You such rights in consideration of benefits the Licensor receives from making the Licensed Material available under these terms and
-conditions.
-
-Section 1 – Definitions.
-
-Adapted Material means material subject to Copyright and Similar Rights that is derived from or based upon the Licensed Material and in which the Licensed Material is translated, altered, arranged, transformed, or otherwise modified in a manner requiring permission under the Copyright and Similar Rights held by the Licensor. For purposes of this Public
-License, where the Licensed Material is a musical work, performance, or sound recording, Adapted Material is always produced where the Licensed Material is synched in timed relation with a moving image.
-Adapter's License means the license You apply to Your Copyright and Similar Rights in Your contributions to Adapted Material in accordance with the terms and conditions of this Public
-License.
-Copyright and Similar Rights means copyright and/or similar rights closely related to copyright including, without limitation, performance, broadcast, sound recording, and Sui Generis Database Rights, without regard to how the rights are labeled or categorized. For purposes of this Public License, the rights specified in Section 2(b)(1)-(2) are not Copyright and Similar Rights.
-Effective Technological Measures means those measures that, in the absence of proper authority, may not be circumvented under laws fulfilling obligations under Article 11 of the WIPO Copyright Treaty adopted on December 20, 1996, and/or similar international agreements.
-Exceptions and Limitations means fair use, fair dealing, and/or any other exception or limitation to Copyright and Similar Rights that applies to Your use of the Licensed Material.
-Licensed Material means the artistic or literary work, database, or other material to which the Licensor applied this Public License.
-Licensed Rights means the rights granted to You subject to the terms and conditions of this Public License, which are limited to all Copyright and Similar Rights that apply to Your use of the Licensed Material and that the Licensor has authority to license.
-Licensor means the individual(s) or entity(ies) granting rights under this Public License.
-NonCommercial means not primarily intended for or directed towards commercial advantage or monetary compensation. For purposes of this Public License, the exchange of the Licensed Material for other material subject to Copyright and Similar Rights by digital file-sharing or similar means is NonCommercial provided there is no payment of monetary compensation in connection with the exchange.
-Share means to provide material to the public by any means or process that requires permission under the Licensed Rights, such as reproduction, public display, public performance, distribution, dissemination, communication, or importation, and to make material available to the public including in ways that members of the public may access the material from a place and at a time individually chosen by them.
-Sui Generis Database Rights means rights other than copyright resulting from Directive 96/9/EC of the European Parliament and of the Council of 11 March 1996 on the legal protection of databases, as amended and/or succeeded, as well as other essentially equivalent rights anywhere in the world.
-You means the individual or entity exercising the Licensed Rights under this Public License. Your has a corresponding meaning.
-
-Section 2 – Scope.
-
-License grant.
-	Subject to the terms and conditions of this Public License, the Licensor hereby grants You a worldwide, royalty-free, non-sublicensable, non-exclusive, irrevocable license to exercise the Licensed Rights in the Licensed Material to:
-	reproduce and Share the Licensed Material, in whole or in part, for NonCommercial purposes only; and
-	produce, reproduce, and Share Adapted Material for NonCommercial purposes only.
-	Exceptions and Limitations. For the avoidance of doubt, where Exceptions and Limitations apply to Your use, this Public License does not apply, and You do not need to comply with its terms and conditions.
-	Term. The term of this Public License is specified in Section 6(a).
-	Media and formats; technical modifications allowed. The Licensor authorizes You to exercise the Licensed Rights in all media and formats whether now known or hereafter created, and to make technical modifications necessary to do so. The Licensor waives and/or agrees not to assert any right or authority to forbid You from making technical modifications necessary to exercise the Licensed Rights, including technical modifications necessary to circumvent Effective Technological Measures. For purposes of this Public License, simply making modifications authorized by this Section 2(a)(4) never produces Adapted Material.
-	Downstream recipients.
-		Offer from the Licensor – Licensed Material. Every recipient of the Licensed Material automatically receives an offer from the Licensor to exercise the Licensed Rights under the terms and conditions of this Public License.
-		No downstream restrictions. You may not offer or impose any additional or different terms or conditions on, or apply any Effective Technological Measures to, the Licensed Material if doing so restricts exercise of the Licensed Rights by any recipient of the Licensed Material.
-	No endorsement. Nothing in this Public License constitutes or may be construed as permission to assert or imply that You are, or that Your use of the Licensed Material is, connected with, or sponsored, endorsed, or granted official status by, the Licensor or others designated to receive attribution as provided in Section 3(a)(1)(A)(i).
-
-Other rights.
-	Moral rights, such as the right of integrity, are not licensed under this Public License, nor are publicity, privacy, and/or other similar personality rights; however, to the extent possible, the Licensor waives and/or agrees not to assert any such rights held by the Licensor to the limited extent necessary to allow You to exercise the Licensed Rights, but not otherwise.
-	Patent and trademark rights are not licensed under this Public License.
-	To the extent possible, the Licensor waives any right to collect royalties from You for the exercise of the Licensed Rights, whether directly or through a collecting society under any voluntary or waivable statutory or compulsory licensing scheme. In all other cases the Licensor expressly reserves any right to collect such royalties, including when the Licensed Material is used other than for NonCommercial purposes.
-
-Section 3 – License Conditions.
-
-Your exercise of the Licensed Rights is expressly made subject to the following conditions.
-
-Attribution.
-
-	If You Share the Licensed Material (including in modified form), You must:
-		retain the following if it is supplied by the Licensor with the Licensed Material:
-			identification of the creator(s) of the Licensed Material and any others designated to receive attribution, in any reasonable manner requested by the Licensor (including by pseudonym if designated);
-			a copyright notice;
-			a notice that refers to this Public License;
-			a notice that refers to the disclaimer of warranties;
-			a URI or hyperlink to the Licensed Material to the extent reasonably practicable;
-			in any publication cite the following paper:
-					@InProceedings{Kruppa03-pets,
-					  author =       "Hannes Kruppa, Modesto Castrill\'on-Santana and Bernt Schiele",
-					  title =        "Fast and Robust Face Finding via Local Context."
-					  booktitle =    "Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance"
-					  year =         "2003",
-					  month =        "October"
-					}
-            indicate if You modified the Licensed Material and retain an indication of any previous modifications; and
-            indicate the Licensed Material is licensed under this Public License, and include the text of, or the URI or hyperlink to, this Public License.
-        You may satisfy the conditions in Section 3(a)(1) in any reasonable manner based on the medium, means, and context in which You Share the Licensed Material. For example, it may be reasonable to satisfy the conditions by providing a URI or hyperlink to a resource that includes the required information.
-        If requested by the Licensor, You must remove any of the information required by Section 3(a)(1)(A) to the extent reasonably practicable.
-        If You Share Adapted Material You produce, the Adapter's License You apply must not prevent recipients of the Adapted Material from complying with this Public License.
-
-Section 4 – Sui Generis Database Rights.
-
-Where the Licensed Rights include Sui Generis Database Rights that apply to Your use of the Licensed Material:
-
-    for the avoidance of doubt, Section 2(a)(1) grants You the right to extract, reuse, reproduce, and Share all or a substantial portion of the contents of the database for NonCommercial purposes only;
-    if You include all or a substantial portion of the database contents in a database in which You have Sui Generis Database Rights, then the database in which You have Sui Generis Database Rights (but not its individual contents) is Adapted Material; and
-    You must comply with the conditions in Section 3(a) if You Share all or a substantial portion of the contents of the database.
-
-For the avoidance of doubt, this Section 4 supplements and does not replace Your obligations under this Public License where the Licensed Rights include other Copyright and Similar Rights.
-
-Section 5 – Disclaimer of Warranties and Limitation of Liability.
-
-    Unless otherwise separately undertaken by the Licensor, to the extent possible, the Licensor offers the Licensed Material as-is and as-available, and makes no representations or warranties of any kind concerning the Licensed Material, whether express, implied, statutory, or other. This includes, without limitation, warranties of title, merchantability, fitness for a particular purpose, non-infringement, absence of latent or other defects, accuracy, or the presence or absence of errors, whether or not known or discoverable. Where disclaimers of warranties are not allowed in full or in part, this disclaimer may not apply to You.
-    To the extent possible, in no event will the Licensor be liable to You on any legal theory (including, without limitation, negligence) or otherwise for any direct, special, indirect, incidental, consequential, punitive, exemplary, or other losses, costs, expenses, or damages arising out of this Public License or use of the Licensed Material, even if the Licensor has been advised of the possibility of such losses, costs, expenses, or damages. Where a limitation of liability is not allowed in full or in part, this limitation may not apply to You.
-
-    The disclaimer of warranties and limitation of liability provided above shall be interpreted in a manner that, to the extent possible, most closely approximates an absolute disclaimer and waiver of all liability.
-
-Section 6 – Term and Termination.
-
-    This Public License applies for the term of the Copyright and Similar Rights licensed here. However, if You fail to comply with this Public License, then Your rights under this Public License terminate automatically.
-
-    Where Your right to use the Licensed Material has terminated under Section 6(a), it reinstates:
-        automatically as of the date the violation is cured, provided it is cured within 30 days of Your discovery of the violation; or
-        upon express reinstatement by the Licensor.
-    For the avoidance of doubt, this Section 6(b) does not affect any right the Licensor may have to seek remedies for Your violations of this Public License.
-    For the avoidance of doubt, the Licensor may also offer the Licensed Material under separate terms or conditions or stop distributing the Licensed Material at any time; however, doing so will not terminate this Public License.
-    Sections 1, 5, 6, 7, and 8 survive termination of this Public License.
-
-Section 7 – Other Terms and Conditions.
-
-    The Licensor shall not be bound by any additional or different terms or conditions communicated by You unless expressly agreed.
-    Any arrangements, understandings, or agreements regarding the Licensed Material not stated herein are separate from and independent of the terms and conditions of this Public License.
-
-Section 8 – Interpretation.
-
-    For the avoidance of doubt, this Public License does not, and shall not be interpreted to, reduce, limit, restrict, or impose conditions on any use of the Licensed Material that could lawfully be made without permission under this Public License.
-    To the extent possible, if any provision of this Public License is deemed unenforceable, it shall be automatically reformed to the minimum extent necessary to make it enforceable. If the provision cannot be reformed, it shall be severed from this Public License without affecting the enforceability of the remaining terms and conditions.
-    No term or condition of this Public License will be waived and no failure to comply consented to unless expressly agreed to by the Licensor.
-    Nothing in this Public License constitutes or may be interpreted as a limitation upon, or waiver of, any privileges and immunities that apply to the Licensor or You, including from the legal processes of any jurisdiction or authority.
--->
-<opencv_storage>
-<cascade type_id="opencv-cascade-classifier"><stageType>BOOST</stageType>
-  <featureType>HAAR</featureType>
-  <height>22</height>
-  <width>20</width>
-  <stageParams>
-    <maxWeakCount>334</maxWeakCount></stageParams>
-  <featureParams>
-    <maxCatCount>0</maxCatCount></featureParams>
-  <stageNum>19</stageNum>
-  <stages>
-    <_>
-      <maxWeakCount>34</maxWeakCount>
-      <stageThreshold>-1.3463230133056641e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 0 1.2492679525166750e-03</internalNodes>
-          <leafValues>
-            -4.9203258752822876e-01 3.8543990254402161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1 3.1020329333841801e-04</internalNodes>
-          <leafValues>
-            -3.7493890523910522e-01 2.8437709808349609e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2 9.6315346658229828e-02</internalNodes>
-          <leafValues>
-            -1.1613050103187561e-01 7.2967511415481567e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3 -2.5381650775671005e-02</internalNodes>
-          <leafValues>
-            3.4308171272277832e-01 -2.1711470186710358e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 4 -3.3788379369070753e-05</internalNodes>
-          <leafValues>
-            2.3084780573844910e-01 -2.1428909897804260e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 5 -9.9204434081912041e-03</internalNodes>
-          <leafValues>
-            -5.4596477746963501e-01 1.4852449297904968e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 6 3.7437680363655090e-01</internalNodes>
-          <leafValues>
-            -5.5639829486608505e-02 -3.8648000488281250e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 7 1.5777030587196350e-01</internalNodes>
-          <leafValues>
-            -8.3601050078868866e-02 6.3613307476043701e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 8 -8.6156948236748576e-04</internalNodes>
-          <leafValues>
-            -4.2473611235618591e-01 1.1517520248889923e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 9 1.4470949536189437e-03</internalNodes>
-          <leafValues>
-            8.8099062442779541e-02 -3.3703750371932983e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 10 9.6110720187425613e-04</internalNodes>
-          <leafValues>
-            1.4646869897842407e-01 -3.9539098739624023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 11 -1.7864780500531197e-02</internalNodes>
-          <leafValues>
-            3.4492269158363342e-01 -1.1889699846506119e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 12 1.4062010450288653e-05</internalNodes>
-          <leafValues>
-            -1.7647840082645416e-01 2.4890510737895966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 13 -4.6323220885824412e-05</internalNodes>
-          <leafValues>
-            1.1303039640188217e-01 -1.2764999270439148e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 14 7.5712718535214663e-04</internalNodes>
-          <leafValues>
-            1.6781170666217804e-01 -3.5051900148391724e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 15 8.4784009959548712e-04</internalNodes>
-          <leafValues>
-            4.7085449099540710e-02 -2.7790009975433350e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 16 -1.3911760179325938e-03</internalNodes>
-          <leafValues>
-            -4.4459569454193115e-01 1.2602819502353668e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 17 -6.3936309888958931e-03</internalNodes>
-          <leafValues>
-            4.0806901454925537e-01 -1.0456319898366928e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 18 -3.4687869629124179e-05</internalNodes>
-          <leafValues>
-            2.0899119973182678e-01 -1.7859880626201630e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 19 4.6302800910780206e-05</internalNodes>
-          <leafValues>
-            -8.1336483359336853e-02 6.3226006925106049e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 20 -5.2149579860270023e-03</internalNodes>
-          <leafValues>
-            3.4537479281425476e-01 -1.0222029685974121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 21 -1.4078790554776788e-03</internalNodes>
-          <leafValues>
-            -3.1319180130958557e-01 1.2761330604553223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 22 -1.7251130193471909e-03</internalNodes>
-          <leafValues>
-            -5.3231698274612427e-01 3.0767120420932770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 23 6.3083309214562178e-04</internalNodes>
-          <leafValues>
-            7.3742397129535675e-02 -2.9746720194816589e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 24 2.8300069272518158e-02</internalNodes>
-          <leafValues>
-            -5.0585608929395676e-02 5.7231342792510986e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 25 3.0987561331130564e-05</internalNodes>
-          <leafValues>
-            -1.9619299471378326e-01 1.5451109409332275e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 26 2.0265610516071320e-01</internalNodes>
-          <leafValues>
-            -8.0046234652400017e-03 -2.8372451171875000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 27 -3.0515150865539908e-04</internalNodes>
-          <leafValues>
-            2.8124749660491943e-01 -1.4992569386959076e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 28 4.3186601251363754e-03</internalNodes>
-          <leafValues>
-            9.0424761176109314e-02 -5.3762412071228027e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 29 -1.0599900037050247e-01</internalNodes>
-          <leafValues>
-            -4.8290529847145081e-01 8.8053867220878601e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 30 6.4299613237380981e-02</internalNodes>
-          <leafValues>
-            -2.2408259974326938e-04 -3.2261879882812500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 31 -4.6435470721917227e-05</internalNodes>
-          <leafValues>
-            1.3458590209484100e-01 -1.2009020149707794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 32 5.3147651487961411e-04</internalNodes>
-          <leafValues>
-            1.2874309718608856e-01 -3.3382850885391235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 33 1.0495550185441971e-01</internalNodes>
-          <leafValues>
-            -7.2582751512527466e-02 4.0762761235237122e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>24</maxWeakCount>
-      <stageThreshold>-1.3991409540176392e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 34 2.6972210034728050e-03</internalNodes>
-          <leafValues>
-            -4.9663209915161133e-01 5.2796190977096558e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 35 -3.1051780097186565e-03</internalNodes>
-          <leafValues>
-            3.0832630395889282e-01 -1.7500090599060059e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 36 -4.6089510433375835e-03</internalNodes>
-          <leafValues>
-            3.9825218915939331e-01 -2.3838889598846436e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 37 7.6866783201694489e-02</internalNodes>
-          <leafValues>
-            -1.2886370718479156e-01 5.6268239021301270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 38 6.0181751847267151e-02</internalNodes>
-          <leafValues>
-            1.1992460116744041e-02 -5.7196899414062500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 39 -2.3719770833849907e-03</internalNodes>
-          <leafValues>
-            9.6406437456607819e-02 -7.2531573474407196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 40 -2.2351389750838280e-02</internalNodes>
-          <leafValues>
-            4.2732998728752136e-01 -2.3335489630699158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 41 1.1298250174149871e-03</internalNodes>
-          <leafValues>
-            -2.4561679363250732e-01 2.3006400465965271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 42 -1.6542900353670120e-02</internalNodes>
-          <leafValues>
-            -7.2953182458877563e-01 7.1322768926620483e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 43 1.6292719170451164e-02</internalNodes>
-          <leafValues>
-            5.3547341376543045e-02 -6.5810048580169678e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 44 1.4970790361985564e-03</internalNodes>
-          <leafValues>
-            -1.8056739866733551e-01 2.4561589956283569e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 45 -1.4413120225071907e-03</internalNodes>
-          <leafValues>
-            1.1152800172567368e-01 -8.2167521119117737e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 46 -1.0352210141718388e-02</internalNodes>
-          <leafValues>
-            -5.1681971549987793e-01 7.7380821108818054e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 47 -5.2497540600597858e-03</internalNodes>
-          <leafValues>
-            1.5652020275592804e-01 -1.2938609719276428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 48 1.5690580476075411e-03</internalNodes>
-          <leafValues>
-            1.5069690346717834e-01 -4.0132901072502136e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 49 -2.6500379666686058e-02</internalNodes>
-          <leafValues>
-            1.0065379738807678e-01 -1.3190379738807678e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 50 6.9238577270880342e-04</internalNodes>
-          <leafValues>
-            -1.6020749509334564e-01 2.6513510942459106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 51 -1.2375250225886703e-03</internalNodes>
-          <leafValues>
-            -3.6430040001869202e-01 1.5638789534568787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 52 8.3097338676452637e-02</internalNodes>
-          <leafValues>
-            -5.0581160932779312e-02 -1.1069330078125000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 53 2.7459360659122467e-02</internalNodes>
-          <leafValues>
-            1.2003759853541851e-02 -6.0372191667556763e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 54 -9.3256239779293537e-04</internalNodes>
-          <leafValues>
-            -3.2193431258201599e-01 1.0041300207376480e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 55 1.3935200404375792e-03</internalNodes>
-          <leafValues>
-            -1.6904979944229126e-01 1.5307870507240295e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 56 1.1394890025258064e-03</internalNodes>
-          <leafValues>
-            1.4565330743789673e-01 -2.9629468917846680e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 57 7.9129770398139954e-02</internalNodes>
-          <leafValues>
-            -1.5996749699115753e-01 2.6491358876228333e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>56</maxWeakCount>
-      <stageThreshold>-1.1955209970474243e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 58 4.6252529136836529e-03</internalNodes>
-          <leafValues>
-            -3.4763190150260925e-01 4.8843431472778320e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 59 4.4427260756492615e-02</internalNodes>
-          <leafValues>
-            -1.6238899528980255e-01 6.0961002111434937e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 60 -1.2432290241122246e-02</internalNodes>
-          <leafValues>
-            3.0170831084251404e-01 -1.7306919395923615e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 61 9.8982118070125580e-02</internalNodes>
-          <leafValues>
-            -9.2205569148063660e-02 5.9408599138259888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 62 2.0849579572677612e-01</internalNodes>
-          <leafValues>
-            1.0404920205473900e-02 -1.1054240234375000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 63 4.2460359632968903e-02</internalNodes>
-          <leafValues>
-            1.3334839604794979e-04 -2.9971960067749023e+01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 64 2.5334998965263367e-01</internalNodes>
-          <leafValues>
-            2.1595309954136610e-04 -2.6144009765625000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 65 -1.6708360612392426e-01</internalNodes>
-          <leafValues>
-            4.0918990969657898e-01 -1.0354740172624588e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 66 6.9854892790317535e-02</internalNodes>
-          <leafValues>
-            4.6605318784713745e-03 -5.1069450000000000e+05</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 67 -1.1447629658505321e-03</internalNodes>
-          <leafValues>
-            1.4222350716590881e-01 -8.5505887866020203e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 68 -3.4705658908933401e-03</internalNodes>
-          <leafValues>
-            -5.2971118688583374e-01 8.3049722015857697e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 69 2.1921019069850445e-03</internalNodes>
-          <leafValues>
-            7.1161970496177673e-02 -4.0433588624000549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 70 1.1649200459942222e-03</internalNodes>
-          <leafValues>
-            1.2676270306110382e-01 -4.0600609779357910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 71 -4.4645569287240505e-03</internalNodes>
-          <leafValues>
-            1.1181999742984772e-01 -5.5742070078849792e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 72 8.8914260268211365e-02</internalNodes>
-          <leafValues>
-            3.0051500070840120e-03 -4.1628109375000000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 73 -6.0652620159089565e-03</internalNodes>
-          <leafValues>
-            2.6277920603752136e-01 -1.5126389265060425e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 74 6.2857627868652344e-02</internalNodes>
-          <leafValues>
-            -1.3715559616684914e-02 -8.7274068750000000e+05</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 75 5.6487987749278545e-03</internalNodes>
-          <leafValues>
-            -1.5913739800453186e-01 3.1859260797500610e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 76 1.4022980630397797e-01</internalNodes>
-          <leafValues>
-            -9.5816357061266899e-03 -1.0553549804687500e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 77 2.3099619895219803e-02</internalNodes>
-          <leafValues>
-            9.7601450979709625e-02 -3.8035428524017334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 78 6.2180660665035248e-02</internalNodes>
-          <leafValues>
-            7.3636812157928944e-03 -2183168.</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 79 -5.5402978323400021e-03</internalNodes>
-          <leafValues>
-            -5.0896018743515015e-01 5.4681908339262009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 80 1.5392599999904633e-01</internalNodes>
-          <leafValues>
-            4.8121181316673756e-03 -1.8279500000000000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 81 -7.0815882645547390e-04</internalNodes>
-          <leafValues>
-            -2.2779859602451324e-01 5.8023121207952499e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 82 3.2015278702601790e-04</internalNodes>
-          <leafValues>
-            -1.5084609389305115e-01 2.1459349989891052e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 83 2.3664999753236771e-02</internalNodes>
-          <leafValues>
-            -3.5690288990736008e-02 3.1699979305267334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 84 -3.3508460037410259e-03</internalNodes>
-          <leafValues>
-            -4.5990100502967834e-01 6.0951150953769684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 85 -7.5522147119045258e-02</internalNodes>
-          <leafValues>
-            1.1057890206575394e-01 -4.0514450520277023e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 86 -5.7262121699750423e-03</internalNodes>
-          <leafValues>
-            2.3271149396896362e-01 -1.3407149910926819e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 87 2.1024739369750023e-02</internalNodes>
-          <leafValues>
-            5.9381611645221710e-03 -5.5033719539642334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 88 3.1837709248065948e-03</internalNodes>
-          <leafValues>
-            -1.2809669971466064e-01 2.6653018593788147e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 89 1.9705400336533785e-03</internalNodes>
-          <leafValues>
-            7.8466497361660004e-02 -3.2406198978424072e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 90 6.6750179976224899e-03</internalNodes>
-          <leafValues>
-            9.1531157493591309e-02 -3.7249198555946350e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 91 -2.4148779921233654e-03</internalNodes>
-          <leafValues>
-            -1.7111690342426300e-01 5.6762799620628357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 92 -9.5466198399662971e-03</internalNodes>
-          <leafValues>
-            4.0662801265716553e-01 -7.4411712586879730e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 93 -3.2907661050558090e-02</internalNodes>
-          <leafValues>
-            -7.1888977289199829e-01 1.4721539802849293e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 94 -8.1849691923707724e-04</internalNodes>
-          <leafValues>
-            1.4569100737571716e-01 -1.9963370263576508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 95 7.2181539144366980e-04</internalNodes>
-          <leafValues>
-            8.2231067121028900e-02 -2.1973559260368347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 96 2.2785319015383720e-03</internalNodes>
-          <leafValues>
-            7.5317807495594025e-02 -3.4543770551681519e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 97 -5.9232191415503621e-04</internalNodes>
-          <leafValues>
-            1.6397179663181305e-01 -1.4223779737949371e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 98 -1.4906689757481217e-03</internalNodes>
-          <leafValues>
-            2.7065008878707886e-01 -1.0185220092535019e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 99 -5.0783937331289053e-04</internalNodes>
-          <leafValues>
-            -2.3237000405788422e-01 1.2487719953060150e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 100 1.2358260573819280e-03</internalNodes>
-          <leafValues>
-            7.1889422833919525e-02 -3.2292270660400391e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 101 9.5672700554132462e-03</internalNodes>
-          <leafValues>
-            -7.7361442148685455e-02 3.1491670012474060e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 102 -4.9210679717361927e-03</internalNodes>
-          <leafValues>
-            2.0018289983272552e-01 -1.6144259274005890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 103 5.0535827176645398e-04</internalNodes>
-          <leafValues>
-            7.0756010711193085e-02 -1.7633900046348572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 104 -1.3640619814395905e-02</internalNodes>
-          <leafValues>
-            -6.6401261091232300e-01 4.0987018495798111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 105 -6.5427437424659729e-02</internalNodes>
-          <leafValues>
-            -7.1546489000320435e-01 -1.4467790024355054e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 106 -5.7416707277297974e-01</internalNodes>
-          <leafValues>
-            -6.4211571216583252e-01 3.7077069282531738e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 107 -1.4680740423500538e-02</internalNodes>
-          <leafValues>
-            -5.7911068201065063e-01 1.2332480400800705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 108 1.0403449647128582e-02</internalNodes>
-          <leafValues>
-            3.0869459733366966e-02 -6.5323889255523682e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 109 3.1473999843001366e-03</internalNodes>
-          <leafValues>
-            -6.3593432307243347e-02 1.5316939353942871e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 110 -3.7591080181300640e-03</internalNodes>
-          <leafValues>
-            2.3941740393638611e-01 -1.0980860143899918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 111 -1.1320270132273436e-03</internalNodes>
-          <leafValues>
-            -3.4076210856437683e-01 4.7114279121160507e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 112 2.3911079391837120e-02</internalNodes>
-          <leafValues>
-            2.4294020608067513e-02 -8.7374562025070190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 113 1.6331439837813377e-03</internalNodes>
-          <leafValues>
-            -1.4867100119590759e-01 1.4686830341815948e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>72</maxWeakCount>
-      <stageThreshold>-1.2550790309906006e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 114 1.4273949898779392e-02</internalNodes>
-          <leafValues>
-            -2.2028170526027679e-01 5.8278697729110718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 115 -1.3155260123312473e-02</internalNodes>
-          <leafValues>
-            3.2376781105995178e-01 -1.7588689923286438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 116 -4.7336989082396030e-03</internalNodes>
-          <leafValues>
-            3.2771259546279907e-01 -1.3504040241241455e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 117 -4.9824719317257404e-03</internalNodes>
-          <leafValues>
-            -4.0712320804595947e-01 1.0729070007801056e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 118 5.3574908524751663e-03</internalNodes>
-          <leafValues>
-            -6.1188440769910812e-02 4.2176121473312378e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 119 7.2625762550160289e-04</internalNodes>
-          <leafValues>
-            7.0681191980838776e-02 -3.9249309897422791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 120 3.1754389405250549e-02</internalNodes>
-          <leafValues>
-            -4.8160050064325333e-03 -2.6766890625000000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 121 7.4712611967697740e-04</internalNodes>
-          <leafValues>
-            1.0044159740209579e-01 -3.5845521092414856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 122 -6.1364839784801006e-03</internalNodes>
-          <leafValues>
-            2.2930769622325897e-01 -1.4849479496479034e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 123 -3.1043920898810029e-04</internalNodes>
-          <leafValues>
-            -1.2606529891490936e-01 5.2981439977884293e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 124 9.5097370445728302e-02</internalNodes>
-          <leafValues>
-            6.5563217503950000e-04 -4.3957660156250000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 125 1.7895869677886367e-04</internalNodes>
-          <leafValues>
-            6.6079929471015930e-02 -1.6163720190525055e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 126 6.2283757142722607e-04</internalNodes>
-          <leafValues>
-            8.1336148083209991e-02 -3.7853249907493591e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 127 1.6121419146656990e-02</internalNodes>
-          <leafValues>
-            -7.0124477148056030e-02 4.2186841368675232e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 128 4.9409839510917664e-01</internalNodes>
-          <leafValues>
-            5.6105360388755798e-02 -5.5268967151641846e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 129 2.6086641009896994e-03</internalNodes>
-          <leafValues>
-            -5.4303850978612900e-02 8.3350032567977905e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 130 -8.0985590815544128e-02</internalNodes>
-          <leafValues>
-            -5.1889681816101074e-01 7.6113581657409668e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 131 -1.8206849694252014e-02</internalNodes>
-          <leafValues>
-            2.3450860381126404e-01 -1.5028589963912964e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 132 2.4453869089484215e-02</internalNodes>
-          <leafValues>
-            7.7094620792195201e-05 -3.4958081054687500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 133 7.3357089422643185e-03</internalNodes>
-          <leafValues>
-            6.4979292452335358e-02 -4.4848531484603882e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 134 2.6216730475425720e-03</internalNodes>
-          <leafValues>
-            -1.4167490601539612e-01 2.0859889686107635e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 135 1.1409450089558959e-03</internalNodes>
-          <leafValues>
-            7.6701499521732330e-02 -2.9446929693222046e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 136 1.2580930255353451e-02</internalNodes>
-          <leafValues>
-            -1.9673809874802828e-03 -2.9883010253906250e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 137 -3.9991579949855804e-02</internalNodes>
-          <leafValues>
-            -6.5278917551040649e-01 1.8880249932408333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 138 -2.9880989342927933e-02</internalNodes>
-          <leafValues>
-            -5.7953011989593506e-01 4.3329969048500061e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 139 1.7895980272442102e-03</internalNodes>
-          <leafValues>
-            -1.0572429746389389e-01 2.3993469774723053e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 140 2.6439139619469643e-03</internalNodes>
-          <leafValues>
-            5.3754869848489761e-02 -4.9620249867439270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 141 8.2859180110972375e-05</internalNodes>
-          <leafValues>
-            -2.0419049263000488e-01 1.2806950509548187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 142 -1.0911240242421627e-02</internalNodes>
-          <leafValues>
-            3.4400200843811035e-01 -7.6199240982532501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 143 -4.1699931025505066e-03</internalNodes>
-          <leafValues>
-            -5.0042337179183960e-01 3.5767048597335815e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 144 2.0652399398386478e-03</internalNodes>
-          <leafValues>
-            -1.5200750529766083e-01 1.6699029505252838e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 145 -1.2707760324701667e-03</internalNodes>
-          <leafValues>
-            -1.0397709906101227e-01 2.6426579803228378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 146 8.2581391325220466e-04</internalNodes>
-          <leafValues>
-            9.1073229908943176e-02 -2.8431761264801025e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 147 6.9688400253653526e-03</internalNodes>
-          <leafValues>
-            -5.6411981582641602e-02 2.3267549276351929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 148 -1.5607889508828521e-03</internalNodes>
-          <leafValues>
-            -3.6969760060310364e-01 6.9473750889301300e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 149 1.2131650000810623e-03</internalNodes>
-          <leafValues>
-            -7.9323820769786835e-02 1.5876859426498413e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 150 1.0624749585986137e-02</internalNodes>
-          <leafValues>
-            4.3361671268939972e-02 -5.7412439584732056e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 151 -7.2990538319572806e-04</internalNodes>
-          <leafValues>
-            1.9509379565715790e-01 -1.3665750622749329e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 152 2.9572990536689758e-01</internalNodes>
-          <leafValues>
-            2.2201120373210870e-05 -3.4219890136718750e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 153 2.5999290868639946e-02</internalNodes>
-          <leafValues>
-            -3.6369461566209793e-02 7.7490493655204773e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 154 8.0749327316880226e-03</internalNodes>
-          <leafValues>
-            8.0705903470516205e-02 -2.8219139575958252e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 155 7.5860577635467052e-04</internalNodes>
-          <leafValues>
-            -7.7643670141696930e-02 1.2977090477943420e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 156 -1.7625710461288691e-03</internalNodes>
-          <leafValues>
-            2.2141739726066589e-01 -9.8886981606483459e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 157 1.1849809670820832e-03</internalNodes>
-          <leafValues>
-            3.8486298173666000e-02 -2.7905330061912537e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 158 -1.7625589668750763e-01</internalNodes>
-          <leafValues>
-            -4.3920260667800903e-01 5.1971361041069031e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 159 -1.4031480532139540e-04</internalNodes>
-          <leafValues>
-            1.2916420400142670e-01 -1.1323709785938263e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 160 9.1363089159131050e-03</internalNodes>
-          <leafValues>
-            -1.1492040008306503e-01 2.2249349951744080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 161 -2.0029260776937008e-03</internalNodes>
-          <leafValues>
-            -2.1929590404033661e-01 4.0854889899492264e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 162 5.5052232742309570e-01</internalNodes>
-          <leafValues>
-            2.5654939934611320e-02 -8.3052450418472290e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 163 -3.3507261425256729e-02</internalNodes>
-          <leafValues>
-            -7.0289891958236694e-01 1.2886079959571362e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 164 -2.7022568974643946e-03</internalNodes>
-          <leafValues>
-            -3.9878979325294495e-01 4.9893561750650406e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 165 3.3577920403331518e-03</internalNodes>
-          <leafValues>
-            -9.1834627091884613e-02 2.3746329545974731e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 166 -1.3520480133593082e-03</internalNodes>
-          <leafValues>
-            2.5809058547019958e-01 -1.1761110275983810e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 167 5.6797950528562069e-03</internalNodes>
-          <leafValues>
-            3.7395790219306946e-02 -5.9308350086212158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 168 1.4522479847073555e-02</internalNodes>
-          <leafValues>
-            2.6865359395742416e-02 -6.3552677631378174e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 169 8.3791668293997645e-04</internalNodes>
-          <leafValues>
-            -1.0668759793043137e-01 1.5068009495735168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 170 8.3057529991492629e-04</internalNodes>
-          <leafValues>
-            7.6927617192268372e-02 -2.6659971475601196e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 171 6.6323182545602322e-04</internalNodes>
-          <leafValues>
-            4.0672291070222855e-02 -1.7801180481910706e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 172 -5.4344389354810119e-04</internalNodes>
-          <leafValues>
-            -2.6988148689270020e-01 7.3258846998214722e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 173 -3.6860290914773941e-02</internalNodes>
-          <leafValues>
-            4.3150851130485535e-01 -4.9470368772745132e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 174 7.5951730832457542e-03</internalNodes>
-          <leafValues>
-            4.7471638768911362e-02 -4.4909921288490295e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 175 2.5462580844759941e-02</internalNodes>
-          <leafValues>
-            -5.9732828289270401e-02 2.8767639398574829e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 176 -3.7006419152021408e-03</internalNodes>
-          <leafValues>
-            1.7362360656261444e-01 -1.0997570306062698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 177 2.5741709396243095e-03</internalNodes>
-          <leafValues>
-            -1.0621029883623123e-01 2.0239670574665070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 178 -7.0176380686461926e-03</internalNodes>
-          <leafValues>
-            -3.6438140273094177e-01 5.3866349160671234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 179 9.4404182163998485e-04</internalNodes>
-          <leafValues>
-            5.6630179286003113e-02 -2.5456568598747253e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 180 -1.7664339393377304e-02</internalNodes>
-          <leafValues>
-            2.6503831148147583e-01 -7.4382461607456207e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 181 -3.6102120066061616e-04</internalNodes>
-          <leafValues>
-            -1.7355899512767792e-01 6.0770709067583084e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 182 -4.5951951295137405e-02</internalNodes>
-          <leafValues>
-            5.9183728694915771e-01 -3.0130209401249886e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 183 -4.7274961252696812e-04</internalNodes>
-          <leafValues>
-            1.7608879506587982e-01 -8.7248638272285461e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 184 2.6895289192907512e-04</internalNodes>
-          <leafValues>
-            8.0688200891017914e-02 -2.2756110131740570e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 185 3.1682780385017395e-01</internalNodes>
-          <leafValues>
-            2.1571939811110497e-02 -7.6482397317886353e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>80</maxWeakCount>
-      <stageThreshold>-1.2471400499343872e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 186 -3.0944950412958860e-03</internalNodes>
-          <leafValues>
-            4.3914398550987244e-01 -2.8156408667564392e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 187 6.9179706275463104e-02</internalNodes>
-          <leafValues>
-            -9.3691639602184296e-02 6.0624539852142334e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 188 6.4804498106241226e-03</internalNodes>
-          <leafValues>
-            -1.8341860175132751e-01 3.0555349588394165e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 189 -9.8769506439566612e-04</internalNodes>
-          <leafValues>
-            1.9242240488529205e-01 -1.7901280522346497e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 190 9.7585223615169525e-02</internalNodes>
-          <leafValues>
-            2.1803719573654234e-04 -1.2009589843750000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 191 3.0975039408076555e-05</internalNodes>
-          <leafValues>
-            -2.3390169441699982e-01 1.3082669675350189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 192 -7.0616282755509019e-04</internalNodes>
-          <leafValues>
-            -2.9879850149154663e-01 1.3913549482822418e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 193 1.1368830455467105e-03</internalNodes>
-          <leafValues>
-            -1.5226979553699493e-01 2.2299830615520477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 194 -5.0543190445750952e-04</internalNodes>
-          <leafValues>
-            -2.7679550647735596e-01 1.4219869673252106e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 195 -5.1033319905400276e-03</internalNodes>
-          <leafValues>
-            1.2869720160961151e-01 -9.3029417097568512e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 196 1.4584139920771122e-02</internalNodes>
-          <leafValues>
-            8.6251437664031982e-02 -4.2429849505424500e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 197 8.8234096765518188e-02</internalNodes>
-          <leafValues>
-            -1.0650979727506638e-01 4.4383850693702698e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 198 -1.2861689552664757e-02</internalNodes>
-          <leafValues>
-            -5.8968228101730347e-01 7.3525756597518921e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 199 -4.9134939908981323e-02</internalNodes>
-          <leafValues>
-            5.2274858951568604e-01 -8.1357583403587341e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 200 8.5799451917409897e-03</internalNodes>
-          <leafValues>
-            -3.2367199659347534e-02 4.2821809649467468e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 201 -5.7424148544669151e-03</internalNodes>
-          <leafValues>
-            -6.2083131074905396e-01 4.0638320147991180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 202 3.6491660284809768e-04</internalNodes>
-          <leafValues>
-            -1.5325640141963959e-01 1.4113970100879669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 203 -5.1613878458738327e-03</internalNodes>
-          <leafValues>
-            -4.1736799478530884e-01 8.1837482750415802e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 204 -4.7439550980925560e-03</internalNodes>
-          <leafValues>
-            -2.9808390140533447e-01 8.1017002463340759e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 205 4.1151638142764568e-03</internalNodes>
-          <leafValues>
-            -3.0103120952844620e-03 -2.4902789294719696e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 206 1.2242980301380157e-01</internalNodes>
-          <leafValues>
-            1.5216519823297858e-03 -1.7302570312500000e+05</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 207 -1.2401449494063854e-03</internalNodes>
-          <leafValues>
-            1.7064030468463898e-01 -7.9368427395820618e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 208 1.6567549901083112e-03</internalNodes>
-          <leafValues>
-            -9.2235311865806580e-02 2.3849889636039734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 209 8.1565687432885170e-03</internalNodes>
-          <leafValues>
-            -9.6964061260223389e-02 1.4428420364856720e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 210 7.3455911874771118e-01</internalNodes>
-          <leafValues>
-            3.2895841286517680e-04 -2.5542700195312500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 211 -3.5420949570834637e-03</internalNodes>
-          <leafValues>
-            -2.5129461288452148e-01 2.4388620629906654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 212 1.8159820139408112e-01</internalNodes>
-          <leafValues>
-            -2.5665969587862492e-03 -6.3014418945312500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 213 -2.5773700326681137e-02</internalNodes>
-          <leafValues>
-            -5.5453181266784668e-01 2.5118520483374596e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 214 -3.6018029786646366e-03</internalNodes>
-          <leafValues>
-            2.0427179336547852e-01 -1.1549550294876099e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 215 2.0895600318908691e-03</internalNodes>
-          <leafValues>
-            5.0279490649700165e-02 -3.1693729758262634e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 216 -2.5717200711369514e-02</internalNodes>
-          <leafValues>
-            1.7803180217742920e-01 -1.1794260144233704e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 217 1.2641009688377380e-01</internalNodes>
-          <leafValues>
-            8.8736182078719139e-03 -8.0529242753982544e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 218 -3.0391849577426910e-03</internalNodes>
-          <leafValues>
-            -5.0898671150207520e-01 3.8904190063476562e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 219 3.4312950447201729e-03</internalNodes>
-          <leafValues>
-            1.1260470375418663e-02 -6.8515866994857788e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 220 1.3510970347851980e-05</internalNodes>
-          <leafValues>
-            -1.4117120206356049e-01 1.5203879773616791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 221 -6.0387961566448212e-03</internalNodes>
-          <leafValues>
-            2.0285439491271973e-01 -1.0382819920778275e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 222 7.5726248323917389e-02</internalNodes>
-          <leafValues>
-            3.9297537878155708e-03 -1.7562469482421875e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 223 -1.9819270819425583e-02</internalNodes>
-          <leafValues>
-            -4.0167808532714844e-01 5.6793309748172760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 224 4.9060788005590439e-03</internalNodes>
-          <leafValues>
-            -8.3899140357971191e-02 2.9041549563407898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 225 -8.1648901104927063e-02</internalNodes>
-          <leafValues>
-            -3.6353430151939392e-01 6.3147798180580139e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 226 -1.0384770110249519e-02</internalNodes>
-          <leafValues>
-            -5.3429818153381348e-01 3.6934189498424530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 227 8.6628712713718414e-02</internalNodes>
-          <leafValues>
-            -6.6336899995803833e-02 2.7173450589179993e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 228 -3.5050030797719955e-02</internalNodes>
-          <leafValues>
-            1.7942179739475250e-01 -1.2234839797019958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 229 -4.8283189535140991e-03</internalNodes>
-          <leafValues>
-            -2.4450659751892090e-01 3.5196378827095032e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 230 6.4928561914712191e-04</internalNodes>
-          <leafValues>
-            6.8680599331855774e-02 -2.6865988969802856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 231 -3.8541138172149658e-02</internalNodes>
-          <leafValues>
-            3.0204850435256958e-01 -3.6987539380788803e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 232 -4.1178430547006428e-04</internalNodes>
-          <leafValues>
-            -2.5598031282424927e-01 7.3106467723846436e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 233 -1.1390140280127525e-02</internalNodes>
-          <leafValues>
-            2.4735149741172791e-01 -7.3474846780300140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 234 9.6719461726024747e-04</internalNodes>
-          <leafValues>
-            -1.4487570524215698e-01 1.6915149986743927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 235 5.8444878086447716e-03</internalNodes>
-          <leafValues>
-            -8.8432386517524719e-02 2.5800499320030212e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 236 2.3828010261058807e-01</internalNodes>
-          <leafValues>
-            1.7703069606795907e-03 -5.5330332031250000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 237 1.5342529513873160e-04</internalNodes>
-          <leafValues>
-            -9.9161237478256226e-02 1.1086180061101913e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 238 -1.8891949206590652e-02</internalNodes>
-          <leafValues>
-            -5.4732471704483032e-01 3.6851409822702408e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 239 -1.4927709707990289e-03</internalNodes>
-          <leafValues>
-            -2.0114320516586304e-01 4.4706899672746658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 240 -4.1659721173346043e-03</internalNodes>
-          <leafValues>
-            3.2556429505348206e-01 -6.0132320970296860e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 241 -1.1243360117077827e-02</internalNodes>
-          <leafValues>
-            -7.0226919651031494e-01 2.9433030635118484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 242 -3.3863231074064970e-03</internalNodes>
-          <leafValues>
-            2.7912768721580505e-01 -7.1983598172664642e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 243 -1.2514149770140648e-02</internalNodes>
-          <leafValues>
-            -6.0517168045043945e-01 3.4084219485521317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 244 1.3723900337936357e-05</internalNodes>
-          <leafValues>
-            -1.4314189553260803e-01 1.3461969792842865e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 245 -7.5697568245232105e-03</internalNodes>
-          <leafValues>
-            -3.7676548957824707e-01 2.5302769616246223e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 246 2.5683428975753486e-04</internalNodes>
-          <leafValues>
-            -1.4978440105915070e-01 1.1690360307693481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 247 -7.2857661871239543e-04</internalNodes>
-          <leafValues>
-            -1.6689300537109375e-01 3.8428731262683868e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 248 -3.6967459321022034e-01</internalNodes>
-          <leafValues>
-            -3.1460630893707275e-01 5.0487510859966278e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 249 -8.5158832371234894e-03</internalNodes>
-          <leafValues>
-            1.1459340155124664e-01 -6.8403221666812897e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 250 8.1972801126539707e-04</internalNodes>
-          <leafValues>
-            5.2736330777406693e-02 -3.1499680876731873e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 251 -4.1751582175493240e-03</internalNodes>
-          <leafValues>
-            1.7611530423164368e-01 -8.1676989793777466e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 252 -9.8344944417476654e-03</internalNodes>
-          <leafValues>
-            2.0449779927730560e-01 -9.0233117341995239e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 253 4.3716239742934704e-03</internalNodes>
-          <leafValues>
-            4.1800890117883682e-02 -3.7982788681983948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 254 1.7981700366362929e-03</internalNodes>
-          <leafValues>
-            -9.7453393042087555e-02 1.7104120552539825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 255 -7.8003508970141411e-03</internalNodes>
-          <leafValues>
-            -4.3254071474075317e-01 2.9787249863147736e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 256 -4.4292348623275757e-01</internalNodes>
-          <leafValues>
-            -4.7411221265792847e-01 3.3337648957967758e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 257 -4.7213938087224960e-03</internalNodes>
-          <leafValues>
-            2.2911380231380463e-01 -9.4238728284835815e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 258 -9.7442632541060448e-03</internalNodes>
-          <leafValues>
-            -6.4544659852981567e-01 3.0015440657734871e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 259 1.5859480481594801e-03</internalNodes>
-          <leafValues>
-            4.3672118335962296e-02 -2.2221189737319946e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 260 -2.3678180295974016e-03</internalNodes>
-          <leafValues>
-            1.5183700621128082e-01 -1.0775730013847351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 261 -3.2757879234850407e-03</internalNodes>
-          <leafValues>
-            -2.5875130295753479e-01 5.0640020519495010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 262 2.9536550864577293e-02</internalNodes>
-          <leafValues>
-            -4.3125800788402557e-02 3.9636090397834778e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 263 1.4104120200499892e-03</internalNodes>
-          <leafValues>
-            2.6309840381145477e-02 -7.1616649627685547e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 264 -2.9282430186867714e-03</internalNodes>
-          <leafValues>
-            -3.1005808711051941e-01 5.6898139417171478e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 265 -1.2943849433213472e-03</internalNodes>
-          <leafValues>
-            1.9013640284538269e-01 -8.8158689439296722e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>97</maxWeakCount>
-      <stageThreshold>-1.1778520345687866e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 266 2.0764119923114777e-02</internalNodes>
-          <leafValues>
-            -1.4975740015506744e-01 5.2302300930023193e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 267 -1.0967290028929710e-02</internalNodes>
-          <leafValues>
-            2.7506521344184875e-01 -1.7145189642906189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 268 4.5052461326122284e-02</internalNodes>
-          <leafValues>
-            -1.0644319653511047e-01 3.6856299638748169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 269 1.0590599849820137e-02</internalNodes>
-          <leafValues>
-            6.2317319214344025e-02 -5.3822457790374756e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 270 6.0975952073931694e-03</internalNodes>
-          <leafValues>
-            1.1455009877681732e-01 -3.7335288524627686e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 271 -3.7739051040261984e-03</internalNodes>
-          <leafValues>
-            2.6657769083976746e-01 -1.0533609986305237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 272 4.2882350087165833e-01</internalNodes>
-          <leafValues>
-            -1.0790639789775014e-03 -2.2903289062500000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 273 -6.7734188633039594e-04</internalNodes>
-          <leafValues>
-            -3.0621621012687683e-01 6.9742493331432343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 274 3.4243479371070862e-02</internalNodes>
-          <leafValues>
-            6.6037551732733846e-04 -1.2504589843750000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 275 4.0923009510152042e-04</internalNodes>
-          <leafValues>
-            1.0079199820756912e-01 -3.5287478566169739e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 276 2.3382599651813507e-01</internalNodes>
-          <leafValues>
-            -1.5880500897765160e-02 -1.7048220214843750e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 277 1.6109049320220947e-02</internalNodes>
-          <leafValues>
-            -6.2004629522562027e-02 4.0062409639358521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 278 6.8031012779101729e-04</internalNodes>
-          <leafValues>
-            -1.4876119792461395e-01 1.7793330550193787e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 279 -3.9104801416397095e-01</internalNodes>
-          <leafValues>
-            5.4885149002075195e-01 -4.6494610607624054e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 280 1.5723650157451630e-01</internalNodes>
-          <leafValues>
-            6.0893679037690163e-03 -1.7285980224609375e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 281 -3.7645339034497738e-04</internalNodes>
-          <leafValues>
-            -2.5363451242446899e-01 8.2632511854171753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 282 8.7999942479655147e-04</internalNodes>
-          <leafValues>
-            -1.8807730078697205e-01 1.1852300167083740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 283 6.7365981522016227e-06</internalNodes>
-          <leafValues>
-            -7.4151508510112762e-02 8.9997649192810059e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 284 8.3209738135337830e-02</internalNodes>
-          <leafValues>
-            2.1281070075929165e-03 -6.3955561523437500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 285 1.6005210636649281e-04</internalNodes>
-          <leafValues>
-            4.8919059336185455e-02 -1.0724899917840958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 286 -5.7949139736592770e-03</internalNodes>
-          <leafValues>
-            -5.8656597137451172e-01 3.3166468143463135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 287 -1.4493979979306459e-03</internalNodes>
-          <leafValues>
-            -2.6738798618316650e-01 7.4978969991207123e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 288 7.8148208558559418e-04</internalNodes>
-          <leafValues>
-            -1.3112050294876099e-01 1.4760360121726990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 289 -2.5643259286880493e-02</internalNodes>
-          <leafValues>
-            1.6250650584697723e-01 -9.1025821864604950e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 290 -1.2929979711771011e-02</internalNodes>
-          <leafValues>
-            -6.5028107166290283e-01 3.1778071075677872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 291 -2.3630550131201744e-03</internalNodes>
-          <leafValues>
-            2.0410169661045074e-01 -9.9841013550758362e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 292 8.1470218719914556e-04</internalNodes>
-          <leafValues>
-            6.2313590198755264e-02 -3.6279430985450745e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 293 6.7365981522016227e-06</internalNodes>
-          <leafValues>
-            -5.2140578627586365e-02 6.2869362533092499e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 294 -3.5238551208749413e-04</internalNodes>
-          <leafValues>
-            -2.4512000381946564e-01 8.4787286818027496e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 295 1.7286300659179688e-02</internalNodes>
-          <leafValues>
-            2.2450499236583710e-02 -3.8069969415664673e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 296 2.2224580869078636e-02</internalNodes>
-          <leafValues>
-            -7.4508157558739185e-04 -3.7578330078125000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 297 -6.9434130564332008e-03</internalNodes>
-          <leafValues>
-            3.0345991253852844e-01 -6.8258620798587799e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 298 -1.9307930488139391e-03</internalNodes>
-          <leafValues>
-            1.9534489512443542e-01 -1.0631649941205978e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 299 2.9717159923166037e-03</internalNodes>
-          <leafValues>
-            -7.6913289725780487e-02 2.8775081038475037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 300 1.4184940373525023e-03</internalNodes>
-          <leafValues>
-            -9.5377556979656219e-02 2.3964689671993256e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 301 -5.2888790378347039e-04</internalNodes>
-          <leafValues>
-            -2.0120939612388611e-01 5.8836109936237335e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 302 -6.4028277993202209e-03</internalNodes>
-          <leafValues>
-            -5.1489818096160889e-01 3.8380980491638184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 303 -6.9917421787977219e-03</internalNodes>
-          <leafValues>
-            -3.8498568534851074e-01 3.4050729125738144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 304 1.1123559670522809e-03</internalNodes>
-          <leafValues>
-            -8.2141973078250885e-02 2.0122329890727997e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 305 -1.9065090455114841e-03</internalNodes>
-          <leafValues>
-            2.3690469563007355e-01 -8.7772883474826813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 306 -7.7383301686495543e-04</internalNodes>
-          <leafValues>
-            -3.3837988972663879e-01 6.4057871699333191e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 307 -3.2006528228521347e-02</internalNodes>
-          <leafValues>
-            1.9329549372196198e-01 -4.2547859251499176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 308 1.0583669645711780e-03</internalNodes>
-          <leafValues>
-            5.5602710694074631e-02 -3.3093279600143433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 309 -3.8688271160935983e-05</internalNodes>
-          <leafValues>
-            1.2988729774951935e-01 -1.2732440233230591e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 310 4.2495719389989972e-04</internalNodes>
-          <leafValues>
-            6.6007331013679504e-02 -2.4933560192584991e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 311 -1.0858799796551466e-03</internalNodes>
-          <leafValues>
-            1.7536289989948273e-01 -8.8097922503948212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 312 -4.4220269774086773e-04</internalNodes>
-          <leafValues>
-            -2.4474479258060455e-01 6.7323610186576843e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 313 -2.3488050326704979e-02</internalNodes>
-          <leafValues>
-            -7.9384112358093262e-01 2.2099610418081284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 314 -1.1940260231494904e-01</internalNodes>
-          <leafValues>
-            2.4683830142021179e-01 -7.0952303707599640e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 315 1.3755969703197479e-02</internalNodes>
-          <leafValues>
-            -8.4090009331703186e-02 1.3500119745731354e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 316 1.1233439436182380e-03</internalNodes>
-          <leafValues>
-            5.7501669973134995e-02 -2.9114100337028503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 317 5.5660970509052277e-02</internalNodes>
-          <leafValues>
-            -2.6459809392690659e-02 8.7817266583442688e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 318 5.8998711407184601e-02</internalNodes>
-          <leafValues>
-            -5.8845829218626022e-02 2.6846578717231750e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 319 2.9505279660224915e-01</internalNodes>
-          <leafValues>
-            4.5877238735556602e-03 -5.7907432317733765e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 320 -1.8508419394493103e-02</internalNodes>
-          <leafValues>
-            1.5778020024299622e-01 -1.0833639651536942e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 321 -1.4618839323520660e-01</internalNodes>
-          <leafValues>
-            -4.9797090888023376e-01 1.0800120420753956e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 322 5.1881098188459873e-03</internalNodes>
-          <leafValues>
-            7.1662880480289459e-02 -2.3642310500144958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 323 3.4516301006078720e-02</internalNodes>
-          <leafValues>
-            1.5872199088335037e-02 -7.6911771297454834e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 324 -1.3522060215473175e-01</internalNodes>
-          <leafValues>
-            2.3531170189380646e-01 -6.6149227321147919e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 325 2.9648290947079659e-03</internalNodes>
-          <leafValues>
-            -1.1206760257482529e-01 1.5914240479469299e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 326 -3.2500699162483215e-01</internalNodes>
-          <leafValues>
-            -2.9588839411735535e-01 5.4077230393886566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 327 1.8331170082092285e-02</internalNodes>
-          <leafValues>
-            8.5066035389900208e-03 -7.3759001493453979e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 328 -4.9089170061051846e-03</internalNodes>
-          <leafValues>
-            -5.8902698755264282e-01 2.1977530792355537e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 329 -3.5843739751726389e-03</internalNodes>
-          <leafValues>
-            2.5745728611946106e-01 -6.3865438103675842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 330 2.4481210857629776e-03</internalNodes>
-          <leafValues>
-            -9.6901766955852509e-02 1.8875969946384430e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 331 6.8095198366791010e-04</internalNodes>
-          <leafValues>
-            5.3433369845151901e-02 -1.8442170321941376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 332 1.9464099779725075e-02</internalNodes>
-          <leafValues>
-            2.3036409169435501e-02 -6.8508958816528320e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 333 -1.3493030564859509e-03</internalNodes>
-          <leafValues>
-            -2.5615009665489197e-01 4.4585660099983215e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 334 6.7073898389935493e-03</internalNodes>
-          <leafValues>
-            -5.5639579892158508e-02 2.7087089419364929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 335 3.5809920518659055e-04</internalNodes>
-          <leafValues>
-            7.6499707996845245e-02 -2.3015449941158295e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 336 -2.1596080623567104e-03</internalNodes>
-          <leafValues>
-            1.3892489671707153e-01 -1.0937239974737167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 337 2.8032960835844278e-03</internalNodes>
-          <leafValues>
-            -6.7089870572090149e-02 2.2176960110664368e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 338 2.7888039126992226e-02</internalNodes>
-          <leafValues>
-            2.6833660900592804e-02 -5.6622868776321411e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 339 6.7365981522016227e-06</internalNodes>
-          <leafValues>
-            -7.2127588093280792e-02 8.5058122873306274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 340 -6.2904052902013063e-04</internalNodes>
-          <leafValues>
-            -2.5115230679512024e-01 5.6262891739606857e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 341 1.5627900138497353e-03</internalNodes>
-          <leafValues>
-            -5.7666070759296417e-02 2.6594689488410950e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 342 1.7357030883431435e-02</internalNodes>
-          <leafValues>
-            1.6016509383916855e-02 -8.6053389310836792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 343 -9.3336682766675949e-03</internalNodes>
-          <leafValues>
-            -3.2241278886795044e-01 3.9600308984518051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 344 2.3083039559423923e-04</internalNodes>
-          <leafValues>
-            -1.6356049478054047e-01 9.8472960293292999e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 345 2.9408670961856842e-03</internalNodes>
-          <leafValues>
-            -6.8432979285717010e-02 1.3971360027790070e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 346 4.0767160244286060e-03</internalNodes>
-          <leafValues>
-            -7.9789556562900543e-02 1.7827980220317841e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 347 7.0768459700047970e-03</internalNodes>
-          <leafValues>
-            -7.2593651711940765e-02 1.4493489265441895e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 348 3.5675889812409878e-03</internalNodes>
-          <leafValues>
-            4.6059738844633102e-02 -3.3893358707427979e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 349 7.5691796839237213e-02</internalNodes>
-          <leafValues>
-            6.0740611515939236e-03 -6.1316579580307007e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 350 3.8123109843581915e-03</internalNodes>
-          <leafValues>
-            -9.8515607416629791e-02 1.4706909656524658e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 351 -7.3113790713250637e-03</internalNodes>
-          <leafValues>
-            -4.7229430079460144e-01 2.1679550409317017e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 352 -7.2989451885223389e-01</internalNodes>
-          <leafValues>
-            -6.8595397472381592e-01 1.9538680091500282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 353 1.4671859389636666e-04</internalNodes>
-          <leafValues>
-            5.1220420747995377e-02 -1.1446470022201538e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 354 -5.5560008622705936e-03</internalNodes>
-          <leafValues>
-            -4.1612398624420166e-01 3.2702378928661346e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 355 -1.5673910093028098e-04</internalNodes>
-          <leafValues>
-            1.3286870718002319e-01 -1.3249930739402771e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 356 -2.7738639619201422e-03</internalNodes>
-          <leafValues>
-            2.0943209528923035e-01 -6.3917256891727448e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 357 2.2972989827394485e-03</internalNodes>
-          <leafValues>
-            7.4391417205333710e-02 -2.0786069333553314e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 358 5.2493470720946789e-03</internalNodes>
-          <leafValues>
-            -6.4007326960563660e-02 2.2066879272460938e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 359 6.3456031493842602e-03</internalNodes>
-          <leafValues>
-            1.9649159163236618e-02 -5.3507632017135620e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 360 -6.7409980110824108e-03</internalNodes>
-          <leafValues>
-            -6.1353850364685059e-01 2.1510519087314606e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 361 -1.1170540004968643e-02</internalNodes>
-          <leafValues>
-            -3.7826779484748840e-01 2.0506409928202629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 362 3.8897111080586910e-03</internalNodes>
-          <leafValues>
-            -6.6197447478771210e-02 2.1680620312690735e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>102</maxWeakCount>
-      <stageThreshold>-1.1284530162811279e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 363 -9.1578466817736626e-03</internalNodes>
-          <leafValues>
-            4.2972201108932495e-01 -2.3510800302028656e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 364 1.4027149975299835e-01</internalNodes>
-          <leafValues>
-            7.2441468946635723e-03 -3.2531410217285156e+01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 365 2.2851820103824139e-03</internalNodes>
-          <leafValues>
-            -1.2872549891471863e-01 3.2936421036720276e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 366 -4.8890261678025126e-04</internalNodes>
-          <leafValues>
-            2.3927259445190430e-01 -1.4880880713462830e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 367 -1.3616800308227539e-02</internalNodes>
-          <leafValues>
-            -5.4977691173553467e-01 5.1818989217281342e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 368 2.3789319675415754e-03</internalNodes>
-          <leafValues>
-            -9.8430566489696503e-02 2.3688089847564697e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 369 -1.4167469998938031e-05</internalNodes>
-          <leafValues>
-            1.0164249688386917e-01 -2.1797139942646027e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 370 2.8050719265593216e-05</internalNodes>
-          <leafValues>
-            -1.0424599796533585e-01 2.6081371307373047e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 371 -1.9801670685410500e-02</internalNodes>
-          <leafValues>
-            1.6776250302791595e-01 -1.3982580602169037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 372 -1.8928950652480125e-02</internalNodes>
-          <leafValues>
-            -2.8522980213165283e-01 7.3428876698017120e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 373 -1.3925390318036079e-02</internalNodes>
-          <leafValues>
-            3.5411250591278076e-01 -6.2552347779273987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 374 8.3792414516210556e-03</internalNodes>
-          <leafValues>
-            -4.7943230718374252e-02 1.0880140215158463e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 375 6.2343817949295044e-01</internalNodes>
-          <leafValues>
-            -3.8946459535509348e-03 -3.5067338867187500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 376 2.1577600389719009e-02</internalNodes>
-          <leafValues>
-            2.5115730240941048e-02 -2.8660660982131958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 377 1.0512989945709705e-02</internalNodes>
-          <leafValues>
-            -4.6095490455627441e-02 4.1044908761978149e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 378 1.3560419902205467e-02</internalNodes>
-          <leafValues>
-            2.5737280026078224e-02 -3.8515180349349976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 379 2.1165169775485992e-01</internalNodes>
-          <leafValues>
-            2.4527360219508410e-03 -7.2768730468750000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 380 -3.3338558860123158e-03</internalNodes>
-          <leafValues>
-            -2.0405860245227814e-01 4.3633658438920975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 381 8.9795915409922600e-03</internalNodes>
-          <leafValues>
-            7.8953661024570465e-02 -2.7793759107589722e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 382 5.3711910732090473e-03</internalNodes>
-          <leafValues>
-            -2.4344349279999733e-02 6.6921539604663849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 383 -8.3309561014175415e-03</internalNodes>
-          <leafValues>
-            -3.5009130835533142e-01 5.9051599353551865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 384 2.8106879908591509e-03</internalNodes>
-          <leafValues>
-            -1.2311270087957382e-01 1.0225059837102890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 385 2.1045610308647156e-02</internalNodes>
-          <leafValues>
-            5.5626410990953445e-02 -3.3561658859252930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 386 3.7455770652741194e-03</internalNodes>
-          <leafValues>
-            -6.7443586885929108e-02 2.2442549467086792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 387 6.9531667232513428e-01</internalNodes>
-          <leafValues>
-            1.5418729744851589e-03 -1.3301940429687500e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 388 -6.6458311630412936e-04</internalNodes>
-          <leafValues>
-            -2.2340250015258789e-01 5.1155500113964081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 389 5.3947657579556108e-04</internalNodes>
-          <leafValues>
-            -1.3277970254421234e-01 1.3717539608478546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 390 -1.7990419641137123e-02</internalNodes>
-          <leafValues>
-            -6.2576317787170410e-01 2.9063150286674500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 391 4.7633830457925797e-02</internalNodes>
-          <leafValues>
-            -7.7418819069862366e-02 2.3740810155868530e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 392 -3.3820658922195435e-02</internalNodes>
-          <leafValues>
-            1.5334419906139374e-01 -1.1414159834384918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 393 -2.8191189630888402e-04</internalNodes>
-          <leafValues>
-            -2.3677270114421844e-01 8.2807861268520355e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 394 -1.3994389446452260e-03</internalNodes>
-          <leafValues>
-            -2.8520968556404114e-01 2.2187830880284309e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 395 -7.1874959394335747e-03</internalNodes>
-          <leafValues>
-            2.7148950099945068e-01 -6.6327087581157684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 396 4.0477450238540769e-04</internalNodes>
-          <leafValues>
-            6.4594961702823639e-02 -2.2240179777145386e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 397 -3.2028779387474060e-03</internalNodes>
-          <leafValues>
-            2.1377420425415039e-01 -9.7073882818222046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 398 1.4322189599624835e-05</internalNodes>
-          <leafValues>
-            -1.4376519620418549e-01 9.7971871495246887e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 399 1.2757449876517057e-03</internalNodes>
-          <leafValues>
-            -8.4751658141613007e-02 2.2380630671977997e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 400 4.8291438724845648e-04</internalNodes>
-          <leafValues>
-            4.6522580087184906e-02 -2.2262130677700043e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 401 1.3836859579896554e-05</internalNodes>
-          <leafValues>
-            -1.6030070185661316e-01 1.1645960062742233e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 402 -2.6899509248323739e-04</internalNodes>
-          <leafValues>
-            -1.2680959701538086e-01 5.1257088780403137e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 403 1.3922810321673751e-03</internalNodes>
-          <leafValues>
-            -1.2315029650926590e-01 1.5025359392166138e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 404 1.3342479360289872e-04</internalNodes>
-          <leafValues>
-            3.3665519207715988e-02 -8.1610232591629028e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 405 6.1454152455553412e-04</internalNodes>
-          <leafValues>
-            5.6519761681556702e-02 -3.1433230638504028e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 406 -1.7104489961639047e-03</internalNodes>
-          <leafValues>
-            2.2990170121192932e-01 -8.1584148108959198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 407 1.3824190318700857e-05</internalNodes>
-          <leafValues>
-            -1.1941490322351456e-01 1.3250949978828430e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 408 2.7970890514552593e-03</internalNodes>
-          <leafValues>
-            -4.7103289514780045e-02 1.9908480346202850e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 409 -3.9447317831218243e-03</internalNodes>
-          <leafValues>
-            -3.2104620337486267e-01 6.1310898512601852e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 410 -3.4402438905090094e-03</internalNodes>
-          <leafValues>
-            2.1354329586029053e-01 -6.1212468892335892e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 411 -2.4654779583215714e-02</internalNodes>
-          <leafValues>
-            2.3340779542922974e-01 -6.6846966743469238e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 412 6.3331361161544919e-04</internalNodes>
-          <leafValues>
-            -9.4038836658000946e-02 7.8479669988155365e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 413 -4.2303430382162333e-04</internalNodes>
-          <leafValues>
-            -2.3801739513874054e-01 7.2642073035240173e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 414 2.9926518909633160e-03</internalNodes>
-          <leafValues>
-            -6.4649626612663269e-02 2.4833339452743530e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 415 -1.1798020452260971e-02</internalNodes>
-          <leafValues>
-            -3.0166530609130859e-01 6.1118420213460922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 416 -9.7868414595723152e-03</internalNodes>
-          <leafValues>
-            -4.5015549659729004e-01 2.8377190232276917e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 417 -5.7037919759750366e-03</internalNodes>
-          <leafValues>
-            2.4853350222110748e-01 -6.9355443120002747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 418 1.4342799659061711e-05</internalNodes>
-          <leafValues>
-            -1.1431010067462921e-01 1.2247920036315918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 419 3.3727320260368288e-04</internalNodes>
-          <leafValues>
-            7.1289442479610443e-02 -2.1220469474792480e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 420 -1.3521739747375250e-03</internalNodes>
-          <leafValues>
-            1.8407520651817322e-01 -8.8902108371257782e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 421 3.9903540164232254e-03</internalNodes>
-          <leafValues>
-            -7.5362227857112885e-02 2.0549720525741577e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 422 1.9200939685106277e-02</internalNodes>
-          <leafValues>
-            1.3868289999663830e-02 -4.2045280337333679e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 423 -1.3546509668231010e-02</internalNodes>
-          <leafValues>
-            -5.1325750350952148e-01 2.9454749077558517e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 424 -1.5859559644013643e-03</internalNodes>
-          <leafValues>
-            2.2549459338188171e-01 -8.4416687488555908e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 425 2.0342590287327766e-03</internalNodes>
-          <leafValues>
-            6.7020267248153687e-02 -2.3722359538078308e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 426 6.5835699439048767e-02</internalNodes>
-          <leafValues>
-            2.2492709103971720e-03 -6.3382607698440552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 427 -1.9567420706152916e-02</internalNodes>
-          <leafValues>
-            -4.0725719928741455e-01 3.5422671586275101e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 428 4.8953219084069133e-04</internalNodes>
-          <leafValues>
-            -6.0342669486999512e-02 1.3273899257183075e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 429 1.4131540410744492e-05</internalNodes>
-          <leafValues>
-            -1.1641930043697357e-01 1.2682040035724640e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 430 1.4203680620994419e-04</internalNodes>
-          <leafValues>
-            -8.8367782533168793e-02 1.3554699718952179e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 431 7.1458360180258751e-03</internalNodes>
-          <leafValues>
-            4.3511848896741867e-02 -3.1864428520202637e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 432 -3.3641001209616661e-04</internalNodes>
-          <leafValues>
-            1.0204680263996124e-01 -9.4299122691154480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 433 1.0267529869452119e-03</internalNodes>
-          <leafValues>
-            -5.9334348887205124e-02 2.2539639472961426e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 434 -1.7631480295676738e-04</internalNodes>
-          <leafValues>
-            -1.0789939761161804e-01 5.4198570549488068e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 435 2.8943250072188675e-05</internalNodes>
-          <leafValues>
-            -1.4709359407424927e-01 9.9714383482933044e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 436 -1.3899109944759402e-05</internalNodes>
-          <leafValues>
-            8.0603472888469696e-02 -6.6251203417778015e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 437 3.2039379584603012e-04</internalNodes>
-          <leafValues>
-            7.1343272924423218e-02 -2.0526170730590820e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 438 -3.6573910620063543e-03</internalNodes>
-          <leafValues>
-            2.4581959843635559e-01 -6.0287520289421082e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 439 1.3356460258364677e-03</internalNodes>
-          <leafValues>
-            5.8436870574951172e-02 -2.4109329283237457e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 440 -1.4866300261928700e-05</internalNodes>
-          <leafValues>
-            6.8313658237457275e-02 -7.8472986817359924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 441 -2.8311789501458406e-03</internalNodes>
-          <leafValues>
-            1.3542939722537994e-01 -9.7606517374515533e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 442 3.0081909149885178e-02</internalNodes>
-          <leafValues>
-            3.2058879733085632e-02 -4.4436109066009521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 443 -1.8263630568981171e-02</internalNodes>
-          <leafValues>
-            -7.2238588333129883e-01 1.5590840019285679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 444 -3.3928160555660725e-03</internalNodes>
-          <leafValues>
-            2.1983329951763153e-01 -2.1465340629220009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 445 1.7436090274713933e-04</internalNodes>
-          <leafValues>
-            -1.0531249642372131e-01 1.1543189734220505e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 446 -2.3402511142194271e-03</internalNodes>
-          <leafValues>
-            -8.7868809700012207e-02 5.3345490247011185e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 447 -1.4445939996221568e-05</internalNodes>
-          <leafValues>
-            1.2160749733448029e-01 -1.1292660236358643e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 448 6.8112200824543834e-04</internalNodes>
-          <leafValues>
-            -4.6869128942489624e-02 8.0613352358341217e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 449 5.8264320250600576e-04</internalNodes>
-          <leafValues>
-            -9.6398808062076569e-02 1.1941459774971008e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 450 1.9176679779775441e-04</internalNodes>
-          <leafValues>
-            5.0320759415626526e-02 -1.1637129634618759e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 451 -2.7771131135523319e-04</internalNodes>
-          <leafValues>
-            -1.9483520090579987e-01 6.6177822649478912e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 452 3.9666048251092434e-03</internalNodes>
-          <leafValues>
-            -5.0924081355333328e-02 2.5490629673004150e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 453 -1.1685799807310104e-02</internalNodes>
-          <leafValues>
-            -4.9997681379318237e-01 2.5235859677195549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 454 2.6211979985237122e-01</internalNodes>
-          <leafValues>
-            2.2027140483260155e-02 -5.0479358434677124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 455 2.6809240225702524e-03</internalNodes>
-          <leafValues>
-            -4.1297640651464462e-02 3.1011810898780823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 456 -1.4688560440845322e-05</internalNodes>
-          <leafValues>
-            9.8060786724090576e-02 -9.0592108666896820e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 457 6.3697979785501957e-03</internalNodes>
-          <leafValues>
-            6.6596217453479767e-02 -2.0278799533843994e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 458 4.6842519193887711e-02</internalNodes>
-          <leafValues>
-            -5.1452621817588806e-02 2.5977781414985657e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 459 -1.3824669622408692e-05</internalNodes>
-          <leafValues>
-            1.0483329743146896e-01 -1.1802680045366287e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 460 4.4806601363234222e-04</internalNodes>
-          <leafValues>
-            -3.3751420676708221e-02 7.9996213316917419e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 461 3.8907579437363893e-05</internalNodes>
-          <leafValues>
-            -1.0547590255737305e-01 1.2467110157012939e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 462 1.3659050455316901e-03</internalNodes>
-          <leafValues>
-            4.0345400571823120e-02 -1.9732360541820526e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 463 5.0416071899235249e-03</internalNodes>
-          <leafValues>
-            -8.6208023130893707e-02 1.3775950670242310e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 464 -4.6140711754560471e-02</internalNodes>
-          <leafValues>
-            1.4173319935798645e-01 -9.5894940197467804e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>125</maxWeakCount>
-      <stageThreshold>-1.1831159591674805e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 465 8.3971247076988220e-03</internalNodes>
-          <leafValues>
-            -2.5191619992256165e-01 3.7484309077262878e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 466 2.1425200626254082e-02</internalNodes>
-          <leafValues>
-            -9.7007170319557190e-02 5.1687681674957275e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 467 -1.0318770073354244e-02</internalNodes>
-          <leafValues>
-            2.9335889220237732e-01 -1.2733930349349976e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 468 1.1448180302977562e-03</internalNodes>
-          <leafValues>
-            -1.8665100634098053e-01 1.7313909530639648e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 469 7.5393520295619965e-02</internalNodes>
-          <leafValues>
-            -6.0648728162050247e-02 3.6127880215644836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 470 -9.3370512127876282e-02</internalNodes>
-          <leafValues>
-            2.3438410460948944e-01 -8.7117947638034821e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 471 5.2113737910985947e-03</internalNodes>
-          <leafValues>
-            6.1274390667676926e-02 -3.0776879191398621e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 472 9.9769225344061852e-03</internalNodes>
-          <leafValues>
-            -6.4087107777595520e-02 3.1106120347976685e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 473 1.9360840087756515e-03</internalNodes>
-          <leafValues>
-            -1.2336800247430801e-01 1.8175140023231506e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 474 7.2699370793998241e-03</internalNodes>
-          <leafValues>
-            9.7474679350852966e-02 -2.7541360259056091e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 475 2.1936019882559776e-02</internalNodes>
-          <leafValues>
-            -4.1907928884029388e-02 -1356970.</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 476 2.1171040134504437e-04</internalNodes>
-          <leafValues>
-            -1.0929139703512192e-01 1.3006860017776489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 477 3.3750660717487335e-02</internalNodes>
-          <leafValues>
-            2.8121320530772209e-02 -1164827.</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 478 7.5086490251123905e-03</internalNodes>
-          <leafValues>
-            4.7132410109043121e-02 -3.7406718730926514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 479 4.4921328662894666e-04</internalNodes>
-          <leafValues>
-            7.6395303010940552e-02 -2.3185940086841583e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 480 -6.6751212580129504e-04</internalNodes>
-          <leafValues>
-            -2.4809950590133667e-01 4.5045658946037292e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 481 1.6522139310836792e-01</internalNodes>
-          <leafValues>
-            -2.5855910032987595e-02 -2.0928300781250000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 482 -2.3144209757447243e-02</internalNodes>
-          <leafValues>
-            4.0059879422187805e-01 -2.7459429576992989e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 483 -1.3048340380191803e-01</internalNodes>
-          <leafValues>
-            6.6290372610092163e-01 3.1869049416854978e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 484 3.1665959395468235e-03</internalNodes>
-          <leafValues>
-            4.9700789153575897e-02 -1.5884129703044891e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 485 2.2637179121375084e-02</internalNodes>
-          <leafValues>
-            -2.2492250427603722e-02 -1.7191429443359375e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 486 -3.7033710628747940e-02</internalNodes>
-          <leafValues>
-            1.7758910357952118e-01 -1.1330360174179077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 487 9.5705546438694000e-02</internalNodes>
-          <leafValues>
-            -4.9311641603708267e-02 2.7034428715705872e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 488 4.9114227294921875e-04</internalNodes>
-          <leafValues>
-            5.6370090693235397e-02 -2.7641159296035767e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 489 1.5984029741957784e-03</internalNodes>
-          <leafValues>
-            -1.3944919407367706e-01 1.1525160074234009e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 490 -2.3700800375081599e-04</internalNodes>
-          <leafValues>
-            -1.2026940286159515e-01 4.5053198933601379e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 491 -1.7486650031059980e-03</internalNodes>
-          <leafValues>
-            2.2485430538654327e-01 -6.9119632244110107e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 492 8.1553738564252853e-03</internalNodes>
-          <leafValues>
-            6.8141236901283264e-02 -2.3620179295539856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 493 5.3146569989621639e-03</internalNodes>
-          <leafValues>
-            6.0295980423688889e-02 -2.6967340707778931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 494 2.0854989998042583e-04</internalNodes>
-          <leafValues>
-            -9.9282257258892059e-02 1.4055749773979187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 495 -2.0299179013818502e-03</internalNodes>
-          <leafValues>
-            1.4621229469776154e-01 -1.0290420055389404e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 496 -4.4038048945367336e-03</internalNodes>
-          <leafValues>
-            1.7609240114688873e-01 -7.7655613422393799e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 497 2.3809750564396381e-03</internalNodes>
-          <leafValues>
-            -7.1971938014030457e-02 2.1995179355144501e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 498 5.7388218119740486e-03</internalNodes>
-          <leafValues>
-            6.1643019318580627e-02 -2.8285768628120422e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 499 -6.7427940666675568e-03</internalNodes>
-          <leafValues>
-            -4.5731940865516663e-01 2.6625709608197212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 500 -1.2488880020100623e-04</internalNodes>
-          <leafValues>
-            7.1579828858375549e-02 -7.4957497417926788e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 501 -7.2185341268777847e-03</internalNodes>
-          <leafValues>
-            -2.9619631171226501e-01 4.9233179539442062e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 502 -5.8523979969322681e-03</internalNodes>
-          <leafValues>
-            -2.4193920195102692e-01 3.9187800139188766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 503 -1.5999950468540192e-02</internalNodes>
-          <leafValues>
-            1.7959849536418915e-01 -9.0380683541297913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 504 -1.4750259651918896e-05</internalNodes>
-          <leafValues>
-            1.2605859339237213e-01 -1.1274249851703644e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 505 1.2057370040565729e-03</internalNodes>
-          <leafValues>
-            -6.0650561004877090e-02 2.1973450481891632e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 506 -4.5243799686431885e-03</internalNodes>
-          <leafValues>
-            -4.3269020318984985e-01 2.5853620842099190e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 507 2.5474729482084513e-03</internalNodes>
-          <leafValues>
-            3.3592820167541504e-02 -3.6064180731773376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 508 -1.2268190039321780e-03</internalNodes>
-          <leafValues>
-            9.5219276845455170e-02 -9.6889063715934753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 509 7.5668231584131718e-03</internalNodes>
-          <leafValues>
-            -4.2003981769084930e-02 3.1474891304969788e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 510 -2.9940240085124969e-02</internalNodes>
-          <leafValues>
-            -4.1186788678169250e-01 1.5012119896709919e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 511 -1.4460280362982303e-04</internalNodes>
-          <leafValues>
-            1.1282800137996674e-01 -1.1564549803733826e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 512 5.5179679766297340e-03</internalNodes>
-          <leafValues>
-            1.4783410355448723e-02 -7.8069239854812622e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 513 4.3602618388831615e-03</internalNodes>
-          <leafValues>
-            1.9197709858417511e-02 -5.7175260782241821e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 514 -1.7657090211287141e-03</internalNodes>
-          <leafValues>
-            1.6336660087108612e-01 -7.2352141141891479e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 515 1.4166040637064725e-04</internalNodes>
-          <leafValues>
-            -9.6755802631378174e-02 1.2809459865093231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 516 3.1230010092258453e-02</internalNodes>
-          <leafValues>
-            1.5640569850802422e-02 -6.4757531881332397e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 517 -4.3514901335584000e-05</internalNodes>
-          <leafValues>
-            1.0053110122680664e-01 -1.2408100068569183e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 518 -3.5158041282556951e-04</internalNodes>
-          <leafValues>
-            1.5431529283523560e-01 -6.7390359938144684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 519 2.0108280295971781e-04</internalNodes>
-          <leafValues>
-            -9.8362952470779419e-02 1.3764080405235291e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 520 4.1300798766314983e-03</internalNodes>
-          <leafValues>
-            5.7529108598828316e-03 -5.3467559814453125e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 521 -2.4093700631055981e-04</internalNodes>
-          <leafValues>
-            -1.9900210201740265e-01 7.4284136295318604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 522 -1.2804890284314752e-03</internalNodes>
-          <leafValues>
-            1.6396580636501312e-01 -3.6987289786338806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 523 -4.7115217894315720e-03</internalNodes>
-          <leafValues>
-            -3.1582680344581604e-01 3.9736218750476837e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 524 1.1140770278871059e-02</internalNodes>
-          <leafValues>
-            -1.0182269662618637e-01 1.2548080086708069e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 525 3.8028880953788757e-02</internalNodes>
-          <leafValues>
-            2.3916039615869522e-02 -6.0534471273422241e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 526 -1.7240589950233698e-03</internalNodes>
-          <leafValues>
-            1.2157250195741653e-01 -1.0092329978942871e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 527 1.0013659484684467e-03</internalNodes>
-          <leafValues>
-            -4.9875840544700623e-02 2.2872529923915863e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 528 1.1469529708847404e-03</internalNodes>
-          <leafValues>
-            4.1399698704481125e-02 -2.3377139866352081e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 529 3.5106660798192024e-03</internalNodes>
-          <leafValues>
-            3.3997271209955215e-02 -3.2346510887145996e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 530 -1.4566490426659584e-03</internalNodes>
-          <leafValues>
-            2.5346401333808899e-01 -4.1150610893964767e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 531 3.7483999133110046e-01</internalNodes>
-          <leafValues>
-            3.3477351069450378e-02 -3.6484500765800476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 532 -1.4147689798846841e-03</internalNodes>
-          <leafValues>
-            -2.0284929871559143e-01 3.7319269031286240e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 533 -2.1542280912399292e-02</internalNodes>
-          <leafValues>
-            3.0418759584426880e-01 -3.8817461580038071e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 534 -4.7629610635340214e-03</internalNodes>
-          <leafValues>
-            -3.3018890023231506e-01 1.3088730163872242e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 535 1.4096570201218128e-02</internalNodes>
-          <leafValues>
-            -3.6260299384593964e-02 3.2955801486968994e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 536 3.5879030474461615e-04</internalNodes>
-          <leafValues>
-            3.9928831160068512e-02 -7.8107982873916626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 537 2.0676909480243921e-03</internalNodes>
-          <leafValues>
-            3.7309668958187103e-02 -3.1918200850486755e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 538 2.2880220785737038e-02</internalNodes>
-          <leafValues>
-            -8.5903979837894440e-02 1.5334339439868927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 539 2.1201509982347488e-02</internalNodes>
-          <leafValues>
-            2.6472510769963264e-02 -5.0557321310043335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 540 -6.0203541070222855e-03</internalNodes>
-          <leafValues>
-            -1.6318249702453613e-01 2.0732490345835686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 541 -5.0420581828802824e-04</internalNodes>
-          <leafValues>
-            1.6668680310249329e-01 -6.6697582602500916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 542 6.0316012240946293e-04</internalNodes>
-          <leafValues>
-            -6.4793847501277924e-02 1.3266150653362274e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 543 3.4756860695779324e-03</internalNodes>
-          <leafValues>
-            5.6924119591712952e-02 -2.4802610278129578e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 544 -2.8164550894871354e-04</internalNodes>
-          <leafValues>
-            1.0731890052556992e-01 -6.8889446556568146e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 545 1.0619480162858963e-03</internalNodes>
-          <leafValues>
-            -7.1329578757286072e-02 1.9133770465850830e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 546 -1.2039010412991047e-02</internalNodes>
-          <leafValues>
-            -1.8531359732151031e-01 1.9869519397616386e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 547 7.3727907147258520e-04</internalNodes>
-          <leafValues>
-            6.9557242095470428e-02 -1.6892650723457336e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 548 -8.9795957319438457e-04</internalNodes>
-          <leafValues>
-            1.0048580169677734e-01 -1.1249220371246338e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 549 -1.4421059750020504e-03</internalNodes>
-          <leafValues>
-            -2.5942280888557434e-01 4.3461620807647705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 550 1.2128099799156189e-02</internalNodes>
-          <leafValues>
-            1.0867379605770111e-03 -9.6219289302825928e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 551 -3.8773349951952696e-03</internalNodes>
-          <leafValues>
-            -4.4588619470596313e-01 2.3271450772881508e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 552 -1.8645300297066569e-03</internalNodes>
-          <leafValues>
-            1.1588860303163528e-01 -7.4421487748622894e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 553 1.5988890081644058e-03</internalNodes>
-          <leafValues>
-            -7.1976162493228912e-02 1.3814139366149902e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 554 -1.0482260026037693e-02</internalNodes>
-          <leafValues>
-            -1.8418419361114502e-01 5.8082859963178635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 555 2.5457469746470451e-03</internalNodes>
-          <leafValues>
-            -4.9719039350748062e-02 2.2162219882011414e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 556 -5.3013530559837818e-03</internalNodes>
-          <leafValues>
-            -1.5105170011520386e-01 1.7132120206952095e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 557 -7.1186490822583437e-04</internalNodes>
-          <leafValues>
-            1.2436850368976593e-01 -8.9634358882904053e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 558 -8.6922161281108856e-03</internalNodes>
-          <leafValues>
-            -5.9594017267227173e-01 1.1369950138032436e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 559 4.9854819662868977e-03</internalNodes>
-          <leafValues>
-            4.8545241355895996e-02 -2.1625879406929016e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 560 -1.9476209999993443e-03</internalNodes>
-          <leafValues>
-            1.7202959954738617e-01 -6.6241711378097534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 561 4.6425309847109020e-04</internalNodes>
-          <leafValues>
-            -8.7388113141059875e-02 1.2562519311904907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 562 -7.8054452314972878e-03</internalNodes>
-          <leafValues>
-            -5.4023122787475586e-01 5.5168392136693001e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 563 -1.7876500496640801e-03</internalNodes>
-          <leafValues>
-            -4.1625720262527466e-01 2.3760259151458740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 564 3.4986619721166790e-04</internalNodes>
-          <leafValues>
-            -1.0645300149917603e-01 1.3415950536727905e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 565 -1.7780930502340198e-03</internalNodes>
-          <leafValues>
-            1.4130510389804840e-01 -8.0240763723850250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 566 -1.8860380351543427e-01</internalNodes>
-          <leafValues>
-            -2.0148520171642303e-01 3.6658711731433868e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 567 -1.0677129961550236e-02</internalNodes>
-          <leafValues>
-            1.3416449725627899e-01 -7.6406367123126984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 568 2.2988369688391685e-02</internalNodes>
-          <leafValues>
-            1.8132690340280533e-02 -4.8544389009475708e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 569 -1.3255500234663486e-03</internalNodes>
-          <leafValues>
-            2.5572159886360168e-01 -4.0705129504203796e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 570 5.9496019966900349e-03</internalNodes>
-          <leafValues>
-            3.9314180612564087e-02 -2.7970561385154724e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 571 -6.6567502915859222e-02</internalNodes>
-          <leafValues>
-            -5.5705511569976807e-01 1.6444809734821320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 572 2.4936130270361900e-02</internalNodes>
-          <leafValues>
-            -2.8254570439457893e-02 2.3453700542449951e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 573 6.7102699540555477e-04</internalNodes>
-          <leafValues>
-            5.2245128899812698e-02 -1.9548429548740387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 574 -6.5158591605722904e-03</internalNodes>
-          <leafValues>
-            1.3059410452842712e-01 -5.4246369749307632e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 575 -2.0384399220347404e-02</internalNodes>
-          <leafValues>
-            2.6776239275932312e-01 -3.7303801625967026e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 576 -4.9205501563847065e-03</internalNodes>
-          <leafValues>
-            -8.7404273450374603e-02 1.6793090850114822e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 577 -2.9292369261384010e-02</internalNodes>
-          <leafValues>
-            -2.3264780640602112e-01 4.3655201792716980e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 578 7.2546571493148804e-02</internalNodes>
-          <leafValues>
-            -3.6490269005298615e-02 2.7231520414352417e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 579 -3.7642000243067741e-03</internalNodes>
-          <leafValues>
-            1.8231450021266937e-01 -7.1627296507358551e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 580 -7.5870528817176819e-03</internalNodes>
-          <leafValues>
-            -1.0087859630584717e-01 3.5317219793796539e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 581 1.8255389295518398e-04</internalNodes>
-          <leafValues>
-            -9.3993760645389557e-02 1.0116200149059296e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 582 3.2301910221576691e-02</internalNodes>
-          <leafValues>
-            7.2117331437766552e-03 -3.5486260056495667e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 583 2.5892930105328560e-02</internalNodes>
-          <leafValues>
-            -3.7203889340162277e-02 2.5027701258659363e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 584 4.9849660135805607e-03</internalNodes>
-          <leafValues>
-            2.3954670876264572e-02 -3.0998921394348145e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 585 3.6892869975417852e-03</internalNodes>
-          <leafValues>
-            3.6769930273294449e-02 -2.6462849974632263e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 586 5.7481178082525730e-03</internalNodes>
-          <leafValues>
-            -4.1655130684375763e-02 1.4225460588932037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 587 -8.9322368148714304e-04</internalNodes>
-          <leafValues>
-            -1.6857950389385223e-01 5.5090259760618210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 588 -3.4081860212609172e-04</internalNodes>
-          <leafValues>
-            3.9664719253778458e-02 -3.8179200142621994e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 589 7.7733430080115795e-03</internalNodes>
-          <leafValues>
-            -4.2298160493373871e-02 2.4191489815711975e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>125</maxWeakCount>
-      <stageThreshold>-1.0558769702911377e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 590 5.8826277963817120e-03</internalNodes>
-          <leafValues>
-            -2.6752731204032898e-01 3.7303671240806580e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 591 -2.4791009491309524e-04</internalNodes>
-          <leafValues>
-            7.8501053154468536e-02 -6.5277233719825745e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 592 2.3347679525613785e-02</internalNodes>
-          <leafValues>
-            1.7821240180637687e-04 -2.9028310546875000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 593 -1.1582409963011742e-02</internalNodes>
-          <leafValues>
-            3.0084291100502014e-01 -1.1225110292434692e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 594 -7.4398629367351532e-03</internalNodes>
-          <leafValues>
-            3.3014228940010071e-01 -1.4450010657310486e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 595 -1.2356679653748870e-03</internalNodes>
-          <leafValues>
-            9.9596269428730011e-02 -4.4884901493787766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 596 -3.1098300591111183e-02</internalNodes>
-          <leafValues>
-            3.4724020957946777e-01 -5.0089869648218155e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 597 -8.6721731349825859e-05</internalNodes>
-          <leafValues>
-            1.2793859839439392e-01 -1.3050040602684021e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 598 4.8631811514496803e-03</internalNodes>
-          <leafValues>
-            9.1580100357532501e-02 -2.8963008522987366e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 599 -8.2328416407108307e-02</internalNodes>
-          <leafValues>
-            4.8640829324722290e-01 -8.5621501784771681e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 600 2.6845820248126984e-02</internalNodes>
-          <leafValues>
-            8.0719226389192045e-05 -2.7684570312500000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 601 -5.2039809525012970e-02</internalNodes>
-          <leafValues>
-            7.9396322369575500e-02 -5.8004710823297501e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 602 -6.9675371050834656e-02</internalNodes>
-          <leafValues>
-            4.9873960018157959e-01 -3.7314310669898987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 603 -2.2737689316272736e-02</internalNodes>
-          <leafValues>
-            -4.0688079595565796e-01 4.2751029133796692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 604 -5.3844530135393143e-02</internalNodes>
-          <leafValues>
-            1.6214320063591003e-01 -9.7108319401741028e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 605 7.2368777182418853e-05</internalNodes>
-          <leafValues>
-            -1.8385389447212219e-01 1.0155250132083893e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 606 2.3242140014190227e-04</internalNodes>
-          <leafValues>
-            -1.4277349412441254e-01 1.2259999662637711e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 607 -4.3009149521822110e-05</internalNodes>
-          <leafValues>
-            1.2804460525512695e-01 -1.2545910477638245e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 608 -2.7856770902872086e-02</internalNodes>
-          <leafValues>
-            1.7858579754829407e-01 -8.4731630980968475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 609 -4.7926288098096848e-03</internalNodes>
-          <leafValues>
-            -4.3757480382919312e-01 1.6302520409226418e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 610 1.3976480113342404e-03</internalNodes>
-          <leafValues>
-            4.9515519291162491e-02 -2.8802138566970825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 611 1.4469549991190434e-02</internalNodes>
-          <leafValues>
-            -6.7634709179401398e-02 1.3598270714282990e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 612 -1.3993920219945721e-05</internalNodes>
-          <leafValues>
-            1.0967969894409180e-01 -1.1632110178470612e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 613 3.3816839568316936e-03</internalNodes>
-          <leafValues>
-            2.8795750811696053e-02 -2.4082769453525543e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 614 2.5580629706382751e-01</internalNodes>
-          <leafValues>
-            -2.8704650700092316e-02 4.6601611375808716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 615 -1.7578320112079382e-03</internalNodes>
-          <leafValues>
-            1.5108330547809601e-01 -6.3459686934947968e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 616 -8.2289418205618858e-03</internalNodes>
-          <leafValues>
-            -2.9966801404953003e-01 4.3361451476812363e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 617 -1.3895850315748248e-05</internalNodes>
-          <leafValues>
-            1.0622219741344452e-01 -1.0804539918899536e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 618 5.4432791657745838e-03</internalNodes>
-          <leafValues>
-            -7.2269909083843231e-02 1.6688150167465210e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 619 3.6632400006055832e-02</internalNodes>
-          <leafValues>
-            3.5935431718826294e-02 -1.9747260212898254e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 620 -1.2231309898197651e-02</internalNodes>
-          <leafValues>
-            -2.6235920190811157e-01 4.7610200941562653e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 621 -1.3806000351905823e-02</internalNodes>
-          <leafValues>
-            3.0292961001396179e-01 -4.8921317793428898e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 622 -1.2311399914324284e-03</internalNodes>
-          <leafValues>
-            1.7459060251712799e-01 -6.8353146314620972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 623 -2.6005920022726059e-02</internalNodes>
-          <leafValues>
-            1.9050909578800201e-01 -4.6166021376848221e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 624 4.6127731911838055e-03</internalNodes>
-          <leafValues>
-            -8.3376087248325348e-02 1.5262119472026825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 625 5.7869260199368000e-03</internalNodes>
-          <leafValues>
-            7.0412610657513142e-03 -7.1386951208114624e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 626 6.7721348023042083e-04</internalNodes>
-          <leafValues>
-            4.9267031252384186e-02 -2.4897420406341553e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 627 -2.2731769829988480e-02</internalNodes>
-          <leafValues>
-            -5.9203499555587769e-01 6.8012541159987450e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 628 -7.6365371933206916e-04</internalNodes>
-          <leafValues>
-            1.0652580112218857e-01 -1.0599949955940247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 629 -4.3849581852555275e-03</internalNodes>
-          <leafValues>
-            2.3418359458446503e-01 -4.6867609024047852e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 630 3.9877369999885559e-03</internalNodes>
-          <leafValues>
-            7.7556453645229340e-02 -1.8153350055217743e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 631 1.3219149550423026e-03</internalNodes>
-          <leafValues>
-            -6.7613117396831512e-02 1.7171590030193329e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 632 6.7325757117941976e-04</internalNodes>
-          <leafValues>
-            -8.9826732873916626e-02 1.4020709693431854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 633 9.2688068980351090e-04</internalNodes>
-          <leafValues>
-            5.6085910648107529e-02 -1.8546910583972931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 634 -1.5381709672510624e-03</internalNodes>
-          <leafValues>
-            -2.3733399808406830e-01 4.8890858888626099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 635 2.7073239907622337e-03</internalNodes>
-          <leafValues>
-            -7.5124382972717285e-02 9.6407197415828705e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 636 -2.8456549625843763e-03</internalNodes>
-          <leafValues>
-            2.2722889482975006e-01 -7.2055377066135406e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 637 3.1373579986393452e-03</internalNodes>
-          <leafValues>
-            3.6863651126623154e-02 -3.2780879735946655e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 638 -3.7588209379464388e-03</internalNodes>
-          <leafValues>
-            -4.2295080423355103e-01 2.3650530725717545e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 639 2.2759051062166691e-03</internalNodes>
-          <leafValues>
-            -5.4995559155941010e-02 1.2049350142478943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 640 -1.9469429552555084e-01</internalNodes>
-          <leafValues>
-            -2.4324010312557220e-01 4.6331658959388733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 641 -9.6125272102653980e-04</internalNodes>
-          <leafValues>
-            1.3797989487648010e-01 -9.2063806951045990e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 642 -2.0522899925708771e-01</internalNodes>
-          <leafValues>
-            4.7303131222724915e-01 -2.2172510623931885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 643 -6.8699531257152557e-02</internalNodes>
-          <leafValues>
-            3.5191631317138672e-01 -2.8691360726952553e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 644 -5.8615300804376602e-03</internalNodes>
-          <leafValues>
-            -3.6117011308670044e-01 3.5613741725683212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 645 -3.0823880806565285e-02</internalNodes>
-          <leafValues>
-            -1.5480700135231018e-01 3.6030359566211700e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 646 6.5875430591404438e-03</internalNodes>
-          <leafValues>
-            -4.9618080258369446e-02 2.2783710062503815e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 647 1.7855790257453918e-01</internalNodes>
-          <leafValues>
-            1.6644019633531570e-02 -5.2305930852890015e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 648 4.7204419388435781e-04</internalNodes>
-          <leafValues>
-            4.3169219046831131e-02 -2.4191060662269592e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 649 1.0938299819827080e-02</internalNodes>
-          <leafValues>
-            -3.4621201455593109e-02 2.3645110428333282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 650 2.6551820337772369e-04</internalNodes>
-          <leafValues>
-            1.0797390341758728e-01 -1.4064499735832214e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 651 -1.8384570255875587e-02</internalNodes>
-          <leafValues>
-            2.2139449417591095e-01 -2.6545690372586250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 652 2.6976049412041903e-03</internalNodes>
-          <leafValues>
-            4.4117338955402374e-02 -2.4985639750957489e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 653 1.9213970750570297e-02</internalNodes>
-          <leafValues>
-            -1.4211599715054035e-02 2.0341560244560242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 654 1.8765490502119064e-02</internalNodes>
-          <leafValues>
-            -2.6414619758725166e-02 4.2244899272918701e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 655 -4.8726210370659828e-03</internalNodes>
-          <leafValues>
-            -3.1537351012229919e-01 2.7417080476880074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 656 6.8514510057866573e-03</internalNodes>
-          <leafValues>
-            1.8685810267925262e-02 -6.0053402185440063e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 657 3.4302549902349710e-03</internalNodes>
-          <leafValues>
-            5.5539049208164215e-02 -5.1063228398561478e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 658 -5.1368698477745056e-03</internalNodes>
-          <leafValues>
-            1.4823649823665619e-01 -7.6043047010898590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 659 4.0547490119934082e-02</internalNodes>
-          <leafValues>
-            2.2683000192046165e-02 -1.4686860144138336e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 660 -3.0698770657181740e-02</internalNodes>
-          <leafValues>
-            -2.3555910587310791e-01 4.2929988354444504e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 661 -4.8826341517269611e-03</internalNodes>
-          <leafValues>
-            1.0821360349655151e-01 -4.0258530527353287e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 662 -1.1315810261294246e-03</internalNodes>
-          <leafValues>
-            1.3305909931659698e-01 -7.6758652925491333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 663 1.0131190065294504e-03</internalNodes>
-          <leafValues>
-            -4.2856771498918533e-02 2.2082559764385223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 664 4.5927320607006550e-03</internalNodes>
-          <leafValues>
-            4.9640059471130371e-02 -2.3265250027179718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 665 -1.4334080333355814e-05</internalNodes>
-          <leafValues>
-            8.6082011461257935e-02 -1.0041899979114532e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 666 -4.3432948586996645e-05</internalNodes>
-          <leafValues>
-            1.0282029956579208e-01 -9.4649210572242737e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 667 -2.2497640457004309e-03</internalNodes>
-          <leafValues>
-            1.0315570235252380e-01 -4.1888978332281113e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 668 -6.4464588649570942e-04</internalNodes>
-          <leafValues>
-            1.1629430204629898e-01 -8.5485748946666718e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 669 -1.4639640226960182e-02</internalNodes>
-          <leafValues>
-            -8.2875743508338928e-02 4.0666591376066208e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 670 -2.5217140093445778e-02</internalNodes>
-          <leafValues>
-            -2.0571319758892059e-01 5.6192658841609955e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 671 1.0123199783265591e-02</internalNodes>
-          <leafValues>
-            -4.2151961475610733e-02 2.9707989096641541e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 672 -1.9428769592195749e-03</internalNodes>
-          <leafValues>
-            1.1105760186910629e-01 -9.5682419836521149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 673 -1.5970990061759949e-03</internalNodes>
-          <leafValues>
-            -1.8751560151576996e-01 2.6098659262061119e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 674 -4.1399329347768798e-05</internalNodes>
-          <leafValues>
-            1.0210459679365158e-01 -9.5533169806003571e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 675 -1.2740289792418480e-02</internalNodes>
-          <leafValues>
-            -3.0079340934753418e-01 3.0958199873566628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 676 -1.0377629660069942e-03</internalNodes>
-          <leafValues>
-            1.1889539659023285e-01 -8.3339259028434753e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 677 7.3452817741781473e-04</internalNodes>
-          <leafValues>
-            -4.5579340308904648e-02 6.5332867205142975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 678 2.1210229024291039e-03</internalNodes>
-          <leafValues>
-            -7.7647641301155090e-02 1.3552039861679077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 679 -3.9646559162065387e-04</internalNodes>
-          <leafValues>
-            -1.3039469718933105e-01 4.4221781194210052e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 680 -2.9011480510234833e-02</internalNodes>
-          <leafValues>
-            1.0911560058593750e-01 -8.6852982640266418e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 681 2.8868720619357191e-05</internalNodes>
-          <leafValues>
-            -9.7223073244094849e-02 1.0939110070466995e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 682 4.4219941628398374e-05</internalNodes>
-          <leafValues>
-            -9.6626587212085724e-02 1.0396730154752731e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 683 -2.1061650477349758e-03</internalNodes>
-          <leafValues>
-            1.5594449639320374e-01 -6.9388382136821747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 684 -1.3419709866866469e-03</internalNodes>
-          <leafValues>
-            -2.3559910058975220e-01 4.3852631002664566e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 685 5.4303952492773533e-04</internalNodes>
-          <leafValues>
-            3.7652920931577682e-02 -1.4700250327587128e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 686 1.9228000019211322e-04</internalNodes>
-          <leafValues>
-            -8.5958786308765411e-02 1.1486630141735077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 687 6.4260498620569706e-03</internalNodes>
-          <leafValues>
-            3.0003899708390236e-02 -2.6264539361000061e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 688 1.7857449129223824e-02</internalNodes>
-          <leafValues>
-            -3.8392178714275360e-02 2.5491470098495483e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 689 1.4346039853990078e-02</internalNodes>
-          <leafValues>
-            8.1513654440641403e-03 -6.6368842124938965e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 690 -1.5616989694535732e-02</internalNodes>
-          <leafValues>
-            2.7357009053230286e-01 -3.9104361087083817e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 691 2.7434809133410454e-02</internalNodes>
-          <leafValues>
-            1.8959000706672668e-02 -5.5424922704696655e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 692 5.8466667542234063e-04</internalNodes>
-          <leafValues>
-            3.7940360605716705e-02 -2.2365260124206543e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 693 -6.7438739351928234e-03</internalNodes>
-          <leafValues>
-            1.3055540621280670e-01 -2.7127960696816444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 694 2.8279089747229591e-05</internalNodes>
-          <leafValues>
-            -1.1748810112476349e-01 7.3770336806774139e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 695 -2.5857390835881233e-02</internalNodes>
-          <leafValues>
-            -7.1859562397003174e-01 1.0667249560356140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 696 -1.4455829841608647e-05</internalNodes>
-          <leafValues>
-            8.8825918734073639e-02 -9.6560813486576080e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 697 -2.8761640351149254e-05</internalNodes>
-          <leafValues>
-            7.1224972605705261e-02 -8.1536293029785156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 698 -4.4676151126623154e-02</internalNodes>
-          <leafValues>
-            4.6559768915176392e-01 -1.8218420445919037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 699 -1.7473939806222916e-02</internalNodes>
-          <leafValues>
-            -2.5894200801849365e-01 9.1081187129020691e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 700 1.1752460151910782e-02</internalNodes>
-          <leafValues>
-            2.3866819217801094e-02 -3.6384621262550354e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 701 -1.9191680476069450e-03</internalNodes>
-          <leafValues>
-            2.5190669298171997e-01 -3.0651960521936417e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 702 -1.0809469968080521e-01</internalNodes>
-          <leafValues>
-            -1.5673610568046570e-01 5.7125121355056763e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 703 -2.0007440820336342e-02</internalNodes>
-          <leafValues>
-            -6.9761687517166138e-01 2.1351710893213749e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 704 -9.3738699797540903e-04</internalNodes>
-          <leafValues>
-            1.2027209997177124e-01 -8.2730740308761597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 705 -1.9725980237126350e-02</internalNodes>
-          <leafValues>
-            6.5103426575660706e-02 -4.3104868382215500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 706 -1.5965709462761879e-02</internalNodes>
-          <leafValues>
-            1.4421139657497406e-01 -7.7061690390110016e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 707 3.1250261235982180e-04</internalNodes>
-          <leafValues>
-            3.4393820911645889e-02 -8.0702297389507294e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 708 1.4896600041538477e-03</internalNodes>
-          <leafValues>
-            3.5183548927307129e-02 -2.5886499881744385e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 709 -5.3775031119585037e-04</internalNodes>
-          <leafValues>
-            1.1620610207319260e-01 -6.3611187040805817e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 710 2.0904899574816227e-03</internalNodes>
-          <leafValues>
-            -4.1186600923538208e-02 2.2300550341606140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 711 2.9691499657928944e-03</internalNodes>
-          <leafValues>
-            4.8269309103488922e-02 -2.0335279405117035e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 712 1.4572769941878505e-05</internalNodes>
-          <leafValues>
-            -9.8957553505897522e-02 9.3041956424713135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 713 -3.1554070301353931e-03</internalNodes>
-          <leafValues>
-            -6.6760122776031494e-01 1.3520079664885998e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 714 2.9881219234084710e-05</internalNodes>
-          <leafValues>
-            -1.0356040298938751e-01 8.6093403398990631e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>159</maxWeakCount>
-      <stageThreshold>-1.0136179924011230e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 715 4.9129109829664230e-02</internalNodes>
-          <leafValues>
-            -1.5613749623298645e-01 3.9328530430793762e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 716 -1.7286360263824463e-02</internalNodes>
-          <leafValues>
-            3.0204918980598450e-01 -9.7565330564975739e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 717 1.7046910524368286e-01</internalNodes>
-          <leafValues>
-            2.3067509755492210e-03 -1.9497540283203125e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 718 8.8703386485576630e-02</internalNodes>
-          <leafValues>
-            -7.4917137622833252e-02 2.8316649794578552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 719 6.5491542220115662e-02</internalNodes>
-          <leafValues>
-            1.6591310268267989e-03 -2.0010880126953125e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 720 1.3477590400725603e-03</internalNodes>
-          <leafValues>
-            -1.6203269362449646e-01 1.0843209922313690e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 721 -1.2740620411932468e-02</internalNodes>
-          <leafValues>
-            1.7574480175971985e-01 -9.3244768679141998e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 722 -5.6134728947654366e-04</internalNodes>
-          <leafValues>
-            1.1455350369215012e-01 -1.7354020476341248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 723 3.5389710683375597e-03</internalNodes>
-          <leafValues>
-            1.1717150360345840e-01 -2.0976379513740540e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 724 2.4736139923334122e-02</internalNodes>
-          <leafValues>
-            1.6364879906177521e-02 -4.7255611419677734e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 725 -1.0651050135493279e-02</internalNodes>
-          <leafValues>
-            -4.5489090681076050e-01 3.1939528882503510e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 726 1.7559889703989029e-02</internalNodes>
-          <leafValues>
-            -4.8362668603658676e-02 3.2062488794326782e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 727 -6.6924717975780368e-04</internalNodes>
-          <leafValues>
-            -2.4639719724655151e-01 5.7935819029808044e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 728 -5.8407627511769533e-04</internalNodes>
-          <leafValues>
-            1.1204340308904648e-01 -9.8744787275791168e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 729 3.7473749835044146e-03</internalNodes>
-          <leafValues>
-            6.2822163105010986e-02 -2.6915690302848816e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 730 -5.7835220359265804e-03</internalNodes>
-          <leafValues>
-            1.7725090682506561e-01 -1.0722990334033966e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 731 -1.3994470238685608e-02</internalNodes>
-          <leafValues>
-            -3.2291290163993835e-01 5.9133160859346390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 732 -5.0094961188733578e-03</internalNodes>
-          <leafValues>
-            3.2413411140441895e-01 -4.6946190297603607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 733 2.0974679291248322e-01</internalNodes>
-          <leafValues>
-            1.2724619591608644e-03 -1.5398029785156250e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 734 -2.3002800345420837e-01</internalNodes>
-          <leafValues>
-            2.4346500635147095e-01 -5.2076339721679688e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 735 1.5492799878120422e-01</internalNodes>
-          <leafValues>
-            -3.8256648927927017e-02 3.8398009538650513e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 736 -1.6321489820256829e-03</internalNodes>
-          <leafValues>
-            -2.6898738741874695e-01 5.1475409418344498e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 737 7.1139976382255554e-02</internalNodes>
-          <leafValues>
-            -1.7741069896146655e-03 -3.6228640136718750e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 738 1.1452710023149848e-03</internalNodes>
-          <leafValues>
-            6.0054820030927658e-02 -2.2977289557456970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 739 -4.5410130405798554e-04</internalNodes>
-          <leafValues>
-            1.2813620269298553e-01 -1.0090760141611099e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 740 -1.4720089893671684e-05</internalNodes>
-          <leafValues>
-            1.0322000086307526e-01 -1.2641830742359161e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 741 -1.1304479558020830e-03</internalNodes>
-          <leafValues>
-            -3.1935998797416687e-01 3.4723218530416489e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 742 -1.6922319307923317e-02</internalNodes>
-          <leafValues>
-            1.3957360386848450e-01 -5.1543079316616058e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 743 -2.3215101100504398e-03</internalNodes>
-          <leafValues>
-            -2.3895290493965149e-01 4.7668199986219406e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 744 3.7084489595144987e-03</internalNodes>
-          <leafValues>
-            -6.5825067460536957e-02 2.2757640480995178e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 745 1.0309210047125816e-03</internalNodes>
-          <leafValues>
-            5.1278948783874512e-02 -1.9257369637489319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 746 -1.5648710541427135e-03</internalNodes>
-          <leafValues>
-            8.9634187519550323e-02 -7.3585078120231628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 747 -4.1427151300013065e-03</internalNodes>
-          <leafValues>
-            1.3048550486564636e-01 -8.4395110607147217e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 748 2.6113409548997879e-02</internalNodes>
-          <leafValues>
-            2.2152740508317947e-02 -5.3387731313705444e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 749 -2.8209320589667186e-05</internalNodes>
-          <leafValues>
-            8.8220342993736267e-02 -1.1844480037689209e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 750 -1.8846359848976135e-01</internalNodes>
-          <leafValues>
-            -1.4832919836044312e-01 2.7575379237532616e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 751 -3.1241099350154400e-04</internalNodes>
-          <leafValues>
-            1.5323509275913239e-01 -6.7858032882213593e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 752 1.1768529657274485e-03</internalNodes>
-          <leafValues>
-            -8.8187567889690399e-02 1.4614510536193848e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 753 -8.1158941611647606e-03</internalNodes>
-          <leafValues>
-            -2.5933700799942017e-01 4.0161240845918655e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 754 -2.1158249583095312e-03</internalNodes>
-          <leafValues>
-            -1.2951439619064331e-01 3.7622030824422836e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 755 -1.6689589247107506e-02</internalNodes>
-          <leafValues>
-            1.6230119764804840e-01 -6.4093820750713348e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 756 3.5482600796967745e-03</internalNodes>
-          <leafValues>
-            -7.9667016863822937e-02 1.1273019760847092e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 757 5.6378880981355906e-04</internalNodes>
-          <leafValues>
-            5.0050869584083557e-02 -2.2882069647312164e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 758 7.8708422370254993e-04</internalNodes>
-          <leafValues>
-            3.6162361502647400e-02 -1.5072689950466156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 759 7.2509991005063057e-03</internalNodes>
-          <leafValues>
-            -6.2301669269800186e-02 1.6492590308189392e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 760 6.6566158784553409e-04</internalNodes>
-          <leafValues>
-            3.7793241441249847e-02 -2.1191699802875519e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 761 5.8047431707382202e-01</internalNodes>
-          <leafValues>
-            1.0952480137348175e-02 -8.0813771486282349e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 762 -7.9105071723461151e-02</internalNodes>
-          <leafValues>
-            3.6394488811492920e-01 -3.0609829351305962e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 763 5.6401832262054086e-04</internalNodes>
-          <leafValues>
-            -6.6107980906963348e-02 1.4774860441684723e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 764 -9.1791141312569380e-04</internalNodes>
-          <leafValues>
-            9.9861629307270050e-02 -5.6733511388301849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 765 5.6301942095160484e-04</internalNodes>
-          <leafValues>
-            4.6789381653070450e-02 -2.4219739437103271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 766 8.3375308895483613e-04</internalNodes>
-          <leafValues>
-            -5.3760558366775513e-02 1.3650870323181152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 767 -3.1824249308556318e-03</internalNodes>
-          <leafValues>
-            2.5260570645332336e-01 -4.1767410933971405e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 768 -7.2406530380249023e-03</internalNodes>
-          <leafValues>
-            -3.4584280848503113e-01 3.2235089689493179e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 769 -8.3251204341650009e-03</internalNodes>
-          <leafValues>
-            -4.1309550404548645e-01 2.1623320877552032e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 770 1.3309439644217491e-02</internalNodes>
-          <leafValues>
-            -2.3230889812111855e-02 3.7454131245613098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 771 -2.3259570822119713e-02</internalNodes>
-          <leafValues>
-            -2.1350060403347015e-01 4.5240461826324463e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 772 1.1522470042109489e-02</internalNodes>
-          <leafValues>
-            -3.7700131535530090e-02 2.9872789978981018e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 773 -2.5679599493741989e-02</internalNodes>
-          <leafValues>
-            -4.9193280935287476e-01 2.0760089159011841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 774 -4.0818247944116592e-03</internalNodes>
-          <leafValues>
-            9.8320446908473969e-02 -5.9292558580636978e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 775 1.3823170214891434e-02</internalNodes>
-          <leafValues>
-            8.0420680344104767e-02 -1.4796389639377594e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 776 -1.4133610420685727e-05</internalNodes>
-          <leafValues>
-            7.2154417634010315e-02 -7.8407011926174164e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 777 1.3749630190432072e-02</internalNodes>
-          <leafValues>
-            -2.5718940421938896e-02 3.5190111398696899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 778 -4.7446079552173615e-03</internalNodes>
-          <leafValues>
-            -2.9917961359024048e-01 1.6113970428705215e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 779 -6.0454257763922215e-03</internalNodes>
-          <leafValues>
-            -5.3650712966918945e-01 1.6792129725217819e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 780 -2.8823830187320709e-02</internalNodes>
-          <leafValues>
-            -6.8795108795166016e-01 3.6530119832605124e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 781 9.7567550837993622e-03</internalNodes>
-          <leafValues>
-            -3.8970921188592911e-02 2.4093149602413177e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 782 5.4871398024260998e-03</internalNodes>
-          <leafValues>
-            1.4116980135440826e-02 -2.5804948806762695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 783 -1.2061520246788859e-03</internalNodes>
-          <leafValues>
-            -1.9207270443439484e-01 4.9500379711389542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 784 9.8257837817072868e-03</internalNodes>
-          <leafValues>
-            -3.8585498929023743e-02 2.2697679698467255e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 785 2.2018669545650482e-01</internalNodes>
-          <leafValues>
-            1.2777510099112988e-02 -7.5363188982009888e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 786 -4.5528009533882141e-02</internalNodes>
-          <leafValues>
-            1.0831479728221893e-01 -8.8267646729946136e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 787 8.6856030975468457e-05</internalNodes>
-          <leafValues>
-            -1.0284650325775146e-01 9.9360488355159760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 788 -5.6585170328617096e-02</internalNodes>
-          <leafValues>
-            2.3910149931907654e-01 -2.3736249655485153e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 789 -3.1276450026780367e-03</internalNodes>
-          <leafValues>
-            -2.2727750241756439e-01 3.8768850266933441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 790 3.9087659679353237e-03</internalNodes>
-          <leafValues>
-            -3.9192341268062592e-02 2.4087190628051758e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 791 7.8154838411137462e-04</internalNodes>
-          <leafValues>
-            7.4562981724739075e-02 -1.2905180454254150e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 792 -2.4408260360360146e-03</internalNodes>
-          <leafValues>
-            -9.1020442545413971e-02 3.9251521229743958e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 793 2.8101990465074778e-03</internalNodes>
-          <leafValues>
-            -6.4837038516998291e-02 1.3925389945507050e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 794 -3.9855740033090115e-03</internalNodes>
-          <leafValues>
-            9.1817371547222137e-02 -8.3031117916107178e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 795 -1.7297789454460144e-02</internalNodes>
-          <leafValues>
-            2.0965570211410522e-01 -5.2194979041814804e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 796 -3.2247748225927353e-02</internalNodes>
-          <leafValues>
-            -4.5823940634727478e-01 8.3728311583399773e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 797 -6.8068369291722775e-03</internalNodes>
-          <leafValues>
-            -2.0197209715843201e-01 5.5631320923566818e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 798 -1.0506629478186369e-03</internalNodes>
-          <leafValues>
-            1.3209819793701172e-01 -7.6885670423507690e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 799 3.7760898703709245e-04</internalNodes>
-          <leafValues>
-            4.6161610633134842e-02 -1.9694140553474426e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 800 -5.7537568500265479e-04</internalNodes>
-          <leafValues>
-            -1.0717370361089706e-01 3.6240298300981522e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 801 7.4092741124331951e-04</internalNodes>
-          <leafValues>
-            -1.0475870221853256e-01 8.0978676676750183e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 802 1.4430390438064933e-03</internalNodes>
-          <leafValues>
-            -2.0330719649791718e-02 1.4773130416870117e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 803 -4.0292008779942989e-03</internalNodes>
-          <leafValues>
-            -4.0607890486717224e-01 2.2358359768986702e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 804 -2.7180630713701248e-02</internalNodes>
-          <leafValues>
-            1.7108470201492310e-01 -5.5255688726902008e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 805 -1.1956419795751572e-02</internalNodes>
-          <leafValues>
-            -7.1867120265960693e-01 1.3094569556415081e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 806 4.1116480133496225e-04</internalNodes>
-          <leafValues>
-            4.8153460025787354e-02 -1.2433259934186935e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 807 -1.3963999663246796e-05</internalNodes>
-          <leafValues>
-            1.0292939841747284e-01 -8.6958311498165131e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 808 -1.4570109669875819e-05</internalNodes>
-          <leafValues>
-            7.4470147490501404e-02 -7.0470541715621948e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 809 1.7139190807938576e-02</internalNodes>
-          <leafValues>
-            -2.6172630488872528e-02 3.3085009455680847e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 810 -1.6302539734169841e-03</internalNodes>
-          <leafValues>
-            -2.3916280269622803e-01 3.5871699452400208e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 811 -1.4535409718519077e-05</internalNodes>
-          <leafValues>
-            9.6902176737785339e-02 -9.2061087489128113e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 812 -2.1566040813922882e-02</internalNodes>
-          <leafValues>
-            7.8962132334709167e-02 -2.5336209684610367e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 813 -3.6455708742141724e-01</internalNodes>
-          <leafValues>
-            -3.5508298873901367e-01 2.5631109252572060e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 814 2.4588650092482567e-02</internalNodes>
-          <leafValues>
-            -4.8407679423689842e-03 3.9943900704383850e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 815 -7.7711517224088311e-04</internalNodes>
-          <leafValues>
-            9.7201973199844360e-02 -9.5743231475353241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 816 2.1896770223975182e-02</internalNodes>
-          <leafValues>
-            -4.5299168676137924e-02 1.0756900161504745e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 817 -4.4443400838645175e-05</internalNodes>
-          <leafValues>
-            1.0131599754095078e-01 -8.8843531906604767e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 818 -7.6723480597138405e-03</internalNodes>
-          <leafValues>
-            -4.5738580822944641e-01 4.6079889871180058e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 819 -1.4039639609109145e-05</internalNodes>
-          <leafValues>
-            9.8416067659854889e-02 -8.7553597986698151e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 820 8.6473729461431503e-03</internalNodes>
-          <leafValues>
-            3.3540779259055853e-03 -4.1771999001502991e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 821 -1.3825670066580642e-05</internalNodes>
-          <leafValues>
-            9.9857017397880554e-02 -8.5694387555122375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 822 -2.6278168661519885e-04</internalNodes>
-          <leafValues>
-            -5.6113108992576599e-02 2.7346489951014519e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 823 -7.9181697219610214e-04</internalNodes>
-          <leafValues>
-            -1.8118320405483246e-01 4.7429770231246948e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 824 -1.4099719701334834e-03</internalNodes>
-          <leafValues>
-            2.7458798885345459e-01 -5.1484808325767517e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 825 7.0703573524951935e-02</internalNodes>
-          <leafValues>
-            1.5473419800400734e-02 -5.7706528902053833e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 826 2.0189339295029640e-02</internalNodes>
-          <leafValues>
-            3.1696720980107784e-03 -4.8307558894157410e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 827 -2.1223660558462143e-02</internalNodes>
-          <leafValues>
-            2.4657000601291656e-01 -3.2886128872632980e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 828 -3.0176939908415079e-03</internalNodes>
-          <leafValues>
-            -2.4524199962615967e-01 9.7305262461304665e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 829 -4.6038549393415451e-02</internalNodes>
-          <leafValues>
-            2.7145799994468689e-01 -3.0896479263901711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 830 3.5309030208736658e-03</internalNodes>
-          <leafValues>
-            6.3980512320995331e-02 -1.3888190686702728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 831 -1.6515320166945457e-03</internalNodes>
-          <leafValues>
-            9.5719188451766968e-02 -8.7903097271919250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 832 4.9779191613197327e-03</internalNodes>
-          <leafValues>
-            4.1744681075215340e-03 -5.4084128141403198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 833 -2.6704220101237297e-02</internalNodes>
-          <leafValues>
-            -1.7620840668678284e-01 4.7774009406566620e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 834 -1.9596800208091736e-02</internalNodes>
-          <leafValues>
-            1.4712940156459808e-01 -6.3787601888179779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 835 -3.7246679421514273e-03</internalNodes>
-          <leafValues>
-            -2.3852190375328064e-01 4.4740460813045502e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 836 1.1539430357515812e-02</internalNodes>
-          <leafValues>
-            -2.2072600200772285e-02 1.1525920033454895e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 837 4.7176578664220870e-04</internalNodes>
-          <leafValues>
-            4.7127831727266312e-02 -1.8147450685501099e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 838 -1.9762469455599785e-03</internalNodes>
-          <leafValues>
-            1.3748070597648621e-01 -5.9092778712511063e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 839 5.5772662162780762e-03</internalNodes>
-          <leafValues>
-            -4.5019958168268204e-02 2.1034489572048187e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 840 -2.0157389342784882e-02</internalNodes>
-          <leafValues>
-            -5.7496970891952515e-01 5.7354308664798737e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 841 1.7307110130786896e-02</internalNodes>
-          <leafValues>
-            1.1190719902515411e-02 -7.1707981824874878e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 842 -4.8755120951682329e-04</internalNodes>
-          <leafValues>
-            5.0394590944051743e-02 -4.8666480928659439e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 843 -2.6511559262871742e-02</internalNodes>
-          <leafValues>
-            -8.9478939771652222e-01 9.4358548521995544e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 844 -2.2744829766452312e-03</internalNodes>
-          <leafValues>
-            -1.2894369661808014e-01 2.2440349683165550e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 845 -5.0057587213814259e-04</internalNodes>
-          <leafValues>
-            1.4377559721469879e-01 -7.1598902344703674e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 846 6.6602397710084915e-03</internalNodes>
-          <leafValues>
-            -2.3207439109683037e-02 7.1363903582096100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 847 3.1885830685496330e-03</internalNodes>
-          <leafValues>
-            5.8010980486869812e-02 -1.6450870037078857e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 848 5.7782739168033004e-04</internalNodes>
-          <leafValues>
-            -4.3485600501298904e-02 1.3383249938488007e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 849 -6.0897087678313255e-04</internalNodes>
-          <leafValues>
-            1.4787660539150238e-01 -6.2495529651641846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 850 -1.6388659423682839e-04</internalNodes>
-          <leafValues>
-            9.3325972557067871e-02 -7.6554320752620697e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 851 6.1837752582505345e-04</internalNodes>
-          <leafValues>
-            5.1471889019012451e-02 -1.7382960021495819e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 852 -3.3793110400438309e-02</internalNodes>
-          <leafValues>
-            -3.6461350321769714e-01 3.7170569412410259e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 853 1.4411949552595615e-02</internalNodes>
-          <leafValues>
-            -3.5240508615970612e-02 2.8138169646263123e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 854 -4.1771069169044495e-02</internalNodes>
-          <leafValues>
-            -8.4693837165832520e-01 5.6314789690077305e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 855 2.6250649243593216e-02</internalNodes>
-          <leafValues>
-            1.1048519983887672e-02 -6.5604877471923828e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 856 3.8364190608263016e-02</internalNodes>
-          <leafValues>
-            1.3381119817495346e-02 -5.1028597354888916e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 857 -4.2627542279660702e-03</internalNodes>
-          <leafValues>
-            1.0298670083284378e-01 -7.7517427504062653e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 858 2.6290370151400566e-03</internalNodes>
-          <leafValues>
-            5.3536839783191681e-02 -1.6710819303989410e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 859 3.0461929272860289e-03</internalNodes>
-          <leafValues>
-            -7.0506170392036438e-02 1.2971059978008270e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 860 -8.1220280844718218e-04</internalNodes>
-          <leafValues>
-            -1.5027570724487305e-01 2.4919940158724785e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 861 -1.3896619748265948e-05</internalNodes>
-          <leafValues>
-            9.4428047537803650e-02 -8.7662227451801300e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 862 -1.1810410069301724e-03</internalNodes>
-          <leafValues>
-            -7.8689701855182648e-02 4.2385399341583252e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 863 -4.3100272305309772e-03</internalNodes>
-          <leafValues>
-            1.0542859882116318e-01 -7.6924249529838562e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 864 4.9178837798535824e-03</internalNodes>
-          <leafValues>
-            -4.4045768678188324e-02 1.1219839751720428e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 865 2.7417130768299103e-03</internalNodes>
-          <leafValues>
-            4.8411499708890915e-02 -1.5718230605125427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 866 -2.0775299519300461e-02</internalNodes>
-          <leafValues>
-            -5.5444902181625366e-01 5.7630650699138641e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 867 9.2838220298290253e-03</internalNodes>
-          <leafValues>
-            2.3150760680437088e-02 -3.2565519213676453e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 868 2.9645489994436502e-03</internalNodes>
-          <leafValues>
-            -5.1561180502176285e-02 7.8658573329448700e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 869 -3.5985060967504978e-03</internalNodes>
-          <leafValues>
-            1.0409019887447357e-01 -7.8626610338687897e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 870 2.9037541151046753e-01</internalNodes>
-          <leafValues>
-            2.0822859369218349e-03 -9.9926912784576416e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 871 -1.7383049428462982e-01</internalNodes>
-          <leafValues>
-            -6.1185789108276367e-01 1.1905180290341377e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 872 -1.4491450201603584e-05</internalNodes>
-          <leafValues>
-            7.7290393412113190e-02 -7.9787142574787140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 873 5.9369370341300964e-02</internalNodes>
-          <leafValues>
-            -1.5881380066275597e-02 4.9138128757476807e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>181</maxWeakCount>
-      <stageThreshold>-9.4397127628326416e-01</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 874 1.2147969566285610e-02</internalNodes>
-          <leafValues>
-            -1.7027840018272400e-01 3.0278548598289490e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 875 -5.1608979701995850e-03</internalNodes>
-          <leafValues>
-            1.6070939600467682e-01 -9.7643166780471802e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 876 -5.6379679590463638e-03</internalNodes>
-          <leafValues>
-            1.7696949839591980e-01 -1.1813969910144806e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 877 -1.3411770341917872e-03</internalNodes>
-          <leafValues>
-            -2.1609729528427124e-01 8.4236972033977509e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 878 1.6899369657039642e-02</internalNodes>
-          <leafValues>
-            3.9709590375423431e-02 -7.1516290283203125e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 879 6.0409329831600189e-02</internalNodes>
-          <leafValues>
-            9.9979763035662472e-05 -3.8527749633789062e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 880 6.2134090811014175e-02</internalNodes>
-          <leafValues>
-            6.3906911236699671e-05 -3.9919741210937500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 881 1.0131259914487600e-03</internalNodes>
-          <leafValues>
-            9.7780823707580566e-02 -1.9260010123252869e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 882 8.5585671663284302e-01</internalNodes>
-          <leafValues>
-            -1.2213829904794693e-02 -3.4853699218750000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 883 -3.2218709588050842e-02</internalNodes>
-          <leafValues>
-            3.9832469820976257e-01 -4.5990351587533951e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 884 2.2235669195652008e-02</internalNodes>
-          <leafValues>
-            -4.0369831025600433e-02 3.6789301037788391e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 885 -8.8841008255258203e-04</internalNodes>
-          <leafValues>
-            -2.1880610287189484e-01 5.0560429692268372e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 886 3.5561749245971441e-03</internalNodes>
-          <leafValues>
-            -5.2009329199790955e-02 2.1389879286289215e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 887 9.6833909628912807e-04</internalNodes>
-          <leafValues>
-            1.4613860286772251e-02 -1.9754350185394287e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 888 -2.7736829593777657e-02</internalNodes>
-          <leafValues>
-            -4.5046409964561462e-01 2.7601879090070724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 889 7.4900686740875244e-02</internalNodes>
-          <leafValues>
-            -1.5738090500235558e-02 1.3751170039176941e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 890 -1.4089980140852276e-05</internalNodes>
-          <leafValues>
-            8.2234293222427368e-02 -1.2902089953422546e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 891 2.8132699299021624e-05</internalNodes>
-          <leafValues>
-            -8.9415237307548523e-02 1.4247649908065796e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 892 3.6726798862218857e-03</internalNodes>
-          <leafValues>
-            3.6753758788108826e-02 -3.0238619446754456e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 893 5.8316331356763840e-02</internalNodes>
-          <leafValues>
-            -2.8371790423989296e-02 2.3014989495277405e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 894 7.8186690807342529e-03</internalNodes>
-          <leafValues>
-            -4.2724270373582840e-02 2.9279640316963196e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 895 8.1707425415515900e-03</internalNodes>
-          <leafValues>
-            5.6390549987554550e-02 -2.2707839310169220e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 896 -4.8393788747489452e-03</internalNodes>
-          <leafValues>
-            1.4251850545406342e-01 -9.1900318861007690e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 897 -1.7523720860481262e-02</internalNodes>
-          <leafValues>
-            2.0598100125789642e-01 -2.8702840209007263e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 898 -1.7228579963557422e-04</internalNodes>
-          <leafValues>
-            1.0865160077810287e-01 -1.0427589714527130e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 899 1.4811339788138866e-03</internalNodes>
-          <leafValues>
-            4.6113200485706329e-02 -2.3989810049533844e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 900 -2.7818970847874880e-03</internalNodes>
-          <leafValues>
-            -1.9629709422588348e-01 5.7060431689023972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 901 1.8516130745410919e-02</internalNodes>
-          <leafValues>
-            -6.8399876356124878e-02 9.2525057494640350e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 902 1.2470349902287126e-03</internalNodes>
-          <leafValues>
-            -4.7470189630985260e-02 2.3869030177593231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 903 8.1306131323799491e-04</internalNodes>
-          <leafValues>
-            5.8681190013885498e-02 -1.3293729722499847e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 904 1.0061890352517366e-03</internalNodes>
-          <leafValues>
-            -4.7185059636831284e-02 2.0784549415111542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 905 1.3212660560384393e-03</internalNodes>
-          <leafValues>
-            -3.2092861831188202e-02 6.1370160430669785e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 906 7.1786798071116209e-04</internalNodes>
-          <leafValues>
-            5.5250648409128189e-02 -1.8089100718498230e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 907 -9.6626102458685637e-04</internalNodes>
-          <leafValues>
-            -1.3047799468040466e-01 3.3318478614091873e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 908 1.7763959476724267e-03</internalNodes>
-          <leafValues>
-            -4.6832490712404251e-02 2.0682440698146820e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 909 -2.8751560021191835e-03</internalNodes>
-          <leafValues>
-            -2.1038760244846344e-01 4.4965479522943497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 910 1.9038280006498098e-03</internalNodes>
-          <leafValues>
-            -4.5024219900369644e-02 2.8117001056671143e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 911 2.9590770136564970e-03</internalNodes>
-          <leafValues>
-            4.8174291849136353e-02 -6.7409582436084747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 912 9.4039470423012972e-04</internalNodes>
-          <leafValues>
-            -8.8440768420696259e-02 1.1570060253143311e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 913 2.4125039577484131e-02</internalNodes>
-          <leafValues>
-            7.2013828903436661e-03 -3.8961169123649597e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 914 -6.2984478427097201e-04</internalNodes>
-          <leafValues>
-            -2.3360639810562134e-01 4.2562689632177353e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 915 -2.9172660782933235e-02</internalNodes>
-          <leafValues>
-            1.7174050211906433e-01 -4.6448789536952972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 916 -1.4338050277729053e-05</internalNodes>
-          <leafValues>
-            1.0395999997854233e-01 -9.0066507458686829e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 917 -1.4969659787311684e-05</internalNodes>
-          <leafValues>
-            5.0678368657827377e-02 -3.9614308625459671e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 918 1.4065210052649491e-05</internalNodes>
-          <leafValues>
-            -9.3186452984809875e-02 1.2208849936723709e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 919 -2.7412388590164483e-04</internalNodes>
-          <leafValues>
-            -1.0865789651870728e-01 4.3262030929327011e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 920 -2.1822929556947201e-04</internalNodes>
-          <leafValues>
-            -1.4428439736366272e-01 6.3061922788619995e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 921 2.9122079722583294e-03</internalNodes>
-          <leafValues>
-            -5.2774921059608459e-02 5.9191830456256866e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 922 -3.6725331097841263e-02</internalNodes>
-          <leafValues>
-            2.1313689649105072e-01 -5.1487848162651062e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 923 1.3013239949941635e-02</internalNodes>
-          <leafValues>
-            -5.7525340467691422e-02 1.2103849649429321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 924 1.1602040380239487e-02</internalNodes>
-          <leafValues>
-            5.0670608878135681e-02 -2.1417009830474854e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 925 -2.1189039107412100e-03</internalNodes>
-          <leafValues>
-            -2.3993240296840668e-01 3.9067979902029037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 926 -9.8798265680670738e-03</internalNodes>
-          <leafValues>
-            2.0317670702934265e-01 -4.6872068196535110e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 927 4.1930121369659901e-03</internalNodes>
-          <leafValues>
-            -4.9094110727310181e-02 7.1827210485935211e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 928 1.5404559671878815e-02</internalNodes>
-          <leafValues>
-            2.5184549391269684e-02 -3.7926280498504639e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 929 4.7204889357089996e-02</internalNodes>
-          <leafValues>
-            6.5619370434433222e-04 -8.5161781311035156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 930 6.5289321355521679e-03</internalNodes>
-          <leafValues>
-            -7.8455463051795959e-02 1.2842629849910736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 931 5.6735638529062271e-02</internalNodes>
-          <leafValues>
-            -1.4093150384724140e-02 1.2426369637250900e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 932 2.6140250265598297e-03</internalNodes>
-          <leafValues>
-            -9.2374339699745178e-02 1.0978870093822479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 933 8.9589040726423264e-04</internalNodes>
-          <leafValues>
-            3.4749828279018402e-02 -1.0929500311613083e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 934 -9.0662058210000396e-04</internalNodes>
-          <leafValues>
-            -1.6220299899578094e-01 5.0702780485153198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 935 -5.6750950170680881e-04</internalNodes>
-          <leafValues>
-            -1.3976819813251495e-01 3.3563069999217987e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 936 3.9271891000680625e-04</internalNodes>
-          <leafValues>
-            5.3779508918523788e-02 -1.7188000679016113e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 937 -8.0099105834960938e-03</internalNodes>
-          <leafValues>
-            1.9834689795970917e-01 -3.8824960589408875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 938 1.0684199631214142e-02</internalNodes>
-          <leafValues>
-            -2.8290269896388054e-02 3.4395828843116760e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 939 1.4759440091438591e-05</internalNodes>
-          <leafValues>
-            -7.8098028898239136e-02 9.7656883299350739e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 940 1.6975859180092812e-02</internalNodes>
-          <leafValues>
-            -5.6326240301132202e-02 1.5583120286464691e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 941 -1.3971020052849781e-05</internalNodes>
-          <leafValues>
-            7.2150066494941711e-02 -7.1441337466239929e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 942 -2.6035839691758156e-03</internalNodes>
-          <leafValues>
-            1.0941360145807266e-01 -8.1451512873172760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 943 2.5178899988532066e-02</internalNodes>
-          <leafValues>
-            1.2207499705255032e-02 -2.2756040096282959e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 944 -3.9559401571750641e-02</internalNodes>
-          <leafValues>
-            -5.8328497409820557e-01 1.4910699799656868e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 945 -1.4030520105734468e-05</internalNodes>
-          <leafValues>
-            5.3006969392299652e-02 -4.6118430793285370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 946 -1.4760649719391949e-05</internalNodes>
-          <leafValues>
-            9.7830682992935181e-02 -8.5236847400665283e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 947 -7.2725438512861729e-03</internalNodes>
-          <leafValues>
-            -1.7783139646053314e-01 2.1142490208148956e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 948 -1.3526830116461497e-05</internalNodes>
-          <leafValues>
-            9.1094732284545898e-02 -8.8054873049259186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 949 2.7169808745384216e-01</internalNodes>
-          <leafValues>
-            6.9690002128481865e-03 -5.7763397693634033e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 950 -1.4148949645459652e-02</internalNodes>
-          <leafValues>
-            -4.2174759507179260e-01 1.7959559336304665e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 951 -2.7665561065077782e-03</internalNodes>
-          <leafValues>
-            -5.9134751558303833e-01 1.1650159955024719e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 952 -2.0631540101021528e-03</internalNodes>
-          <leafValues>
-            1.2150909751653671e-01 -6.4721226692199707e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 953 1.3370909982768353e-05</internalNodes>
-          <leafValues>
-            -5.6479219347238541e-02 7.5040176510810852e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 954 6.4982241019606590e-04</internalNodes>
-          <leafValues>
-            4.2173530906438828e-02 -1.9766530394554138e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 955 2.4920518626458943e-04</internalNodes>
-          <leafValues>
-            -6.2353838235139847e-02 9.4402343034744263e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 956 -1.2078540166839957e-03</internalNodes>
-          <leafValues>
-            1.6323770582675934e-01 -6.4028233289718628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 957 -2.2494650911539793e-03</internalNodes>
-          <leafValues>
-            1.8250890076160431e-01 -1.3332289643585682e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 958 5.9620937099680305e-04</internalNodes>
-          <leafValues>
-            -6.5838947892189026e-02 1.5421830117702484e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 959 -3.9258919423446059e-04</internalNodes>
-          <leafValues>
-            -1.4715319871902466e-01 3.9555948227643967e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 960 -8.1223007291555405e-03</internalNodes>
-          <leafValues>
-            -2.2444109618663788e-01 4.2161621153354645e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 961 -4.7881420701742172e-02</internalNodes>
-          <leafValues>
-            -8.7091821432113647e-01 8.1774117425084114e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 962 -2.2748390212655067e-02</internalNodes>
-          <leafValues>
-            2.9979050159454346e-01 -2.8346529230475426e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 963 1.0392880067229271e-03</internalNodes>
-          <leafValues>
-            2.7098760008811951e-02 -1.0330139845609665e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 964 -2.8231230317032896e-05</internalNodes>
-          <leafValues>
-            7.7585183084011078e-02 -1.0317090153694153e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 965 -4.2344927787780762e-03</internalNodes>
-          <leafValues>
-            1.0193389654159546e-01 -4.3151829391717911e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 966 1.5932330861687660e-02</internalNodes>
-          <leafValues>
-            -3.4068148583173752e-02 2.2951790690422058e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 967 1.8464079766999930e-04</internalNodes>
-          <leafValues>
-            4.5591291040182114e-02 -1.2555940449237823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 968 -1.9733259454369545e-02</internalNodes>
-          <leafValues>
-            2.2064359486103058e-01 -3.5928118973970413e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 969 1.4354330232890788e-05</internalNodes>
-          <leafValues>
-            -5.3893670439720154e-02 7.3926411569118500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 970 7.6591788092628121e-04</internalNodes>
-          <leafValues>
-            4.8648048192262650e-02 -1.6688610613346100e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 971 4.8519670963287354e-03</internalNodes>
-          <leafValues>
-            1.8916709348559380e-02 -3.8225510716438293e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 972 7.8907480929046869e-04</internalNodes>
-          <leafValues>
-            -5.8328978717327118e-02 1.3417090475559235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 973 3.2383669167757034e-02</internalNodes>
-          <leafValues>
-            4.5701907947659492e-03 -3.7887600064277649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 974 -1.2292680330574512e-03</internalNodes>
-          <leafValues>
-            -1.5834780037403107e-01 4.7614280134439468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 975 2.7047060430049896e-02</internalNodes>
-          <leafValues>
-            6.6439821384847164e-03 -5.9655481576919556e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 976 1.4375980198383331e-01</internalNodes>
-          <leafValues>
-            -1.7842639237642288e-02 4.2351529002189636e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 977 -1.5783259645104408e-02</internalNodes>
-          <leafValues>
-            8.8244073092937469e-02 -1.2464329600334167e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 978 -1.4875989872962236e-03</internalNodes>
-          <leafValues>
-            -1.3130789995193481e-01 5.7446569204330444e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 979 2.5348609313368797e-02</internalNodes>
-          <leafValues>
-            -1.8971860408782959e-02 1.5281090140342712e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 980 3.4981030970811844e-02</internalNodes>
-          <leafValues>
-            1.0243220254778862e-02 -7.7604120969772339e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 981 -1.0513720102608204e-02</internalNodes>
-          <leafValues>
-            1.0823149979114532e-01 -2.8787430375814438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 982 -7.3121190071105957e-03</internalNodes>
-          <leafValues>
-            -8.3258008956909180e-01 9.2471670359373093e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 983 -1.3201700150966644e-01</internalNodes>
-          <leafValues>
-            -2.9581999778747559e-01 1.6155829653143883e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 984 3.1345361471176147e-01</internalNodes>
-          <leafValues>
-            1.0132989846169949e-02 -7.1845752000808716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 985 6.7774970084428787e-03</internalNodes>
-          <leafValues>
-            1.6121359542012215e-02 -3.0593600869178772e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 986 -1.6488260030746460e-01</internalNodes>
-          <leafValues>
-            -7.3052179813385010e-01 9.3599827960133553e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 987 3.0263569205999374e-02</internalNodes>
-          <leafValues>
-            -2.1490950137376785e-02 2.1476639807224274e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 988 -1.0164840146899223e-02</internalNodes>
-          <leafValues>
-            -1.2528149783611298e-01 6.0508821159601212e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 989 -4.9876107368618250e-04</internalNodes>
-          <leafValues>
-            1.1736539751291275e-01 -6.5368436276912689e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 990 -2.0281779870856553e-04</internalNodes>
-          <leafValues>
-            -1.4580169320106506e-01 5.3317841142416000e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 991 7.5787317473441362e-04</internalNodes>
-          <leafValues>
-            -5.0901308655738831e-02 9.6431486308574677e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 992 3.0924860038794577e-04</internalNodes>
-          <leafValues>
-            -7.4172429740428925e-02 1.0036680102348328e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 993 -1.7347460612654686e-02</internalNodes>
-          <leafValues>
-            -7.0043748617172241e-01 5.1052640192210674e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 994 4.2674738913774490e-02</internalNodes>
-          <leafValues>
-            -4.3247479945421219e-02 1.8100689351558685e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 995 -3.1056061387062073e-01</internalNodes>
-          <leafValues>
-            -8.1626391410827637e-01 1.7991130007430911e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 996 2.6550391316413879e-01</internalNodes>
-          <leafValues>
-            1.3434600085020065e-02 -6.2406688928604126e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 997 4.2594179831212386e-05</internalNodes>
-          <leafValues>
-            -3.9899569004774094e-02 3.6133170127868652e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 998 -5.9230630286037922e-03</internalNodes>
-          <leafValues>
-            -3.3807530999183655e-01 2.2033369168639183e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 999 7.4049353599548340e-02</internalNodes>
-          <leafValues>
-            1.3915670569986105e-03 -6.9353181123733521e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1000 -1.7220899462699890e-02</internalNodes>
-          <leafValues>
-            2.3747919499874115e-01 -3.3367458730936050e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1001 5.3963330574333668e-03</internalNodes>
-          <leafValues>
-            5.0931539386510849e-02 -1.5562909841537476e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1002 -1.8919620197266340e-03</internalNodes>
-          <leafValues>
-            -1.5169349312782288e-01 5.3993280977010727e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1003 -1.5097260475158691e-03</internalNodes>
-          <leafValues>
-            1.9851540029048920e-01 -3.3595308661460876e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1004 3.0020769685506821e-02</internalNodes>
-          <leafValues>
-            -1.7136970534920692e-02 4.1571149230003357e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1005 5.0775688141584396e-03</internalNodes>
-          <leafValues>
-            9.6978880465030670e-03 -1.7263160645961761e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1006 -1.1930350447073579e-03</internalNodes>
-          <leafValues>
-            -1.7071479558944702e-01 4.4078700244426727e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1007 -4.3130549602210522e-03</internalNodes>
-          <leafValues>
-            7.3799706995487213e-02 -6.1707559973001480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1008 3.7032270338386297e-03</internalNodes>
-          <leafValues>
-            -3.6637570708990097e-02 2.2825400531291962e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1009 -1.2335710227489471e-01</internalNodes>
-          <leafValues>
-            -8.0323278903961182e-01 5.5564441718161106e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1010 -1.6671289503574371e-01</internalNodes>
-          <leafValues>
-            -7.4742680788040161e-01 7.7674849890172482e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1011 -4.2208871245384216e-01</internalNodes>
-          <leafValues>
-            -4.7446969151496887e-01 6.5842550247907639e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1012 -9.1678872704505920e-02</internalNodes>
-          <leafValues>
-            -6.0947632789611816e-01 1.0897959582507610e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1013 6.3239918090403080e-03</internalNodes>
-          <leafValues>
-            -3.3826641738414764e-02 1.8243339657783508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1014 4.2129371315240860e-02</internalNodes>
-          <leafValues>
-            9.4385631382465363e-03 -7.7248048782348633e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1015 -9.3927257694303989e-04</internalNodes>
-          <leafValues>
-            7.1579143404960632e-02 -3.5312049090862274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1016 -2.5862399488687515e-03</internalNodes>
-          <leafValues>
-            -1.7614290118217468e-01 3.8970381021499634e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1017 -6.0188758652657270e-05</internalNodes>
-          <leafValues>
-            5.7997729629278183e-02 -6.4837977290153503e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1018 -2.8638429284910671e-05</internalNodes>
-          <leafValues>
-            9.1408349573612213e-02 -1.0475879907608032e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1019 3.8879539351910353e-03</internalNodes>
-          <leafValues>
-            -5.7216320186853409e-02 1.3386100530624390e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1020 -1.1557409539818764e-02</internalNodes>
-          <leafValues>
-            -2.0509949326515198e-01 3.6868590861558914e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1021 -1.3373260153457522e-03</internalNodes>
-          <leafValues>
-            1.2270689755678177e-01 -6.2221698462963104e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1022 1.6762840095907450e-03</internalNodes>
-          <leafValues>
-            -8.8421173393726349e-02 1.3434900343418121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1023 7.7090170234441757e-03</internalNodes>
-          <leafValues>
-            4.9661491066217422e-03 -7.5325018167495728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1024 -1.7691600369289517e-03</internalNodes>
-          <leafValues>
-            -1.5910659730434418e-01 5.0247859209775925e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1025 1.4020030386745930e-02</internalNodes>
-          <leafValues>
-            -2.1401990205049515e-02 3.8334238529205322e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1026 1.4426360394281801e-05</internalNodes>
-          <leafValues>
-            -7.8059092164039612e-02 8.9304782450199127e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1027 -3.1559329479932785e-02</internalNodes>
-          <leafValues>
-            2.3358459770679474e-01 -2.1906960755586624e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1028 -1.1780899949371815e-03</internalNodes>
-          <leafValues>
-            -1.7116659879684448e-01 4.0173828601837158e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1029 1.4788280241191387e-02</internalNodes>
-          <leafValues>
-            -3.6710381507873535e-02 2.1811370551586151e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1030 7.2554568760097027e-04</internalNodes>
-          <leafValues>
-            -9.1587312519550323e-02 7.8570358455181122e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1031 5.7623899920145050e-05</internalNodes>
-          <leafValues>
-            -8.7541349232196808e-02 7.2184711694717407e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1032 2.2748520132154226e-03</internalNodes>
-          <leafValues>
-            5.7446658611297607e-02 -1.3148130476474762e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1033 -4.1168648749589920e-03</internalNodes>
-          <leafValues>
-            -2.0229530334472656e-01 1.2693749740719795e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1034 -1.0332450270652771e-02</internalNodes>
-          <leafValues>
-            1.0516080260276794e-01 -7.0124857127666473e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1035 3.3246190287172794e-03</internalNodes>
-          <leafValues>
-            -4.0530338883399963e-02 5.9988118708133698e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1036 1.7478669760748744e-03</internalNodes>
-          <leafValues>
-            -8.1173956394195557e-02 1.1108309775590897e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1037 3.9028140599839389e-04</internalNodes>
-          <leafValues>
-            4.8233661800622940e-02 -1.9484539330005646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1038 1.6148900613188744e-04</internalNodes>
-          <leafValues>
-            8.2814067602157593e-02 -9.4663769006729126e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1039 -1.7121629416942596e-01</internalNodes>
-          <leafValues>
-            3.1984481215476990e-01 -1.1575589887797832e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1040 2.4543540179729462e-01</internalNodes>
-          <leafValues>
-            1.4251790009438992e-02 -5.0641399621963501e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1041 3.0413989443331957e-03</internalNodes>
-          <leafValues>
-            -2.4235099554061890e-02 1.8348780274391174e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1042 -3.5697590559720993e-02</internalNodes>
-          <leafValues>
-            -2.8293010592460632e-01 2.4910699576139450e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1043 -2.9557330999523401e-03</internalNodes>
-          <leafValues>
-            2.4772000312805176e-01 -2.4235939607024193e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1044 7.2135991649702191e-04</internalNodes>
-          <leafValues>
-            3.4506618976593018e-02 -2.2165650129318237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1045 -1.0706990025937557e-02</internalNodes>
-          <leafValues>
-            -8.6768919229507446e-01 6.9787860848009586e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1046 3.4451750107109547e-03</internalNodes>
-          <leafValues>
-            -2.2823199629783630e-02 3.1982448697090149e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1047 2.6111999526619911e-02</internalNodes>
-          <leafValues>
-            3.6254660226404667e-03 -7.5875741243362427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1048 -1.2527000159025192e-02</internalNodes>
-          <leafValues>
-            -4.5790728926658630e-01 1.6250349581241608e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1049 4.3875008821487427e-02</internalNodes>
-          <leafValues>
-            1.7482640221714973e-02 -3.9459380507469177e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1050 6.7723668180406094e-03</internalNodes>
-          <leafValues>
-            -5.2476380020380020e-02 1.4575639367103577e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1051 7.8281061723828316e-03</internalNodes>
-          <leafValues>
-            -4.2176958173513412e-02 7.7543281018733978e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1052 -1.3225760310888290e-02</internalNodes>
-          <leafValues>
-            1.5081860125064850e-01 -5.1193341612815857e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1053 1.0840999893844128e-03</internalNodes>
-          <leafValues>
-            3.5837080329656601e-02 -2.2138750553131104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1054 1.9366490596439689e-04</internalNodes>
-          <leafValues>
-            -8.7103597819805145e-02 8.8438250124454498e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>161</maxWeakCount>
-      <stageThreshold>-1.0122050046920776e+00</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1055 -4.8138638958334923e-03</internalNodes>
-          <leafValues>
-            3.3305510878562927e-01 -1.1184120178222656e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1056 -4.8076249659061432e-03</internalNodes>
-          <leafValues>
-            2.2943000495433807e-01 -8.7792031466960907e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1057 -6.3146371394395828e-04</internalNodes>
-          <leafValues>
-            -2.5594729185104370e-01 7.8774467110633850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1058 -3.3615701249800622e-04</internalNodes>
-          <leafValues>
-            -1.8154360353946686e-01 7.7407546341419220e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1059 5.8366339653730392e-02</internalNodes>
-          <leafValues>
-            2.0159339532256126e-02 -3.7257949218750000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1060 6.9574371445924044e-04</internalNodes>
-          <leafValues>
-            8.5560150444507599e-02 -2.8294658660888672e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1061 6.4000801648944616e-04</internalNodes>
-          <leafValues>
-            1.1213850229978561e-01 -2.4997310340404510e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1062 -8.4167812019586563e-03</internalNodes>
-          <leafValues>
-            3.4115108847618103e-01 -9.1669142246246338e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1063 -2.2956470493227243e-03</internalNodes>
-          <leafValues>
-            2.4936810135841370e-01 -5.6569069623947144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1064 1.1676879599690437e-02</internalNodes>
-          <leafValues>
-            3.5941518843173981e-02 -3.6494261026382446e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1065 -1.7014340264722705e-03</internalNodes>
-          <leafValues>
-            1.4737150073051453e-01 -1.1686210334300995e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1066 -7.0934131508693099e-04</internalNodes>
-          <leafValues>
-            9.5654368400573730e-02 -1.1207240074872971e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1067 4.3072118423879147e-03</internalNodes>
-          <leafValues>
-            7.2915956377983093e-02 -2.3251010477542877e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1068 5.1240371540188789e-03</internalNodes>
-          <leafValues>
-            -4.7454528510570526e-02 3.8078710436820984e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1069 3.5788940731436014e-03</internalNodes>
-          <leafValues>
-            -4.7301489859819412e-02 2.9896679520606995e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1070 -3.3787379506975412e-03</internalNodes>
-          <leafValues>
-            -2.1025639772415161e-01 3.1566038727760315e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1071 1.6957529587671161e-03</internalNodes>
-          <leafValues>
-            7.7830709517002106e-02 -1.7848539352416992e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1072 5.4554390953853726e-04</internalNodes>
-          <leafValues>
-            3.4314308315515518e-02 -1.1110570281744003e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1073 7.1256239898502827e-03</internalNodes>
-          <leafValues>
-            -6.7792102694511414e-02 1.9082720577716827e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1074 -7.1168097201734781e-04</internalNodes>
-          <leafValues>
-            -1.4311639964580536e-01 4.7033898532390594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1075 9.6405223011970520e-03</internalNodes>
-          <leafValues>
-            -3.5559050738811493e-02 3.5041770339012146e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1076 -1.4268929589889012e-05</internalNodes>
-          <leafValues>
-            7.1855843067169189e-02 -7.3007427155971527e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1077 -3.9352979511022568e-03</internalNodes>
-          <leafValues>
-            -2.1431219577789307e-01 5.3092300891876221e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1078 -1.1273019947111607e-02</internalNodes>
-          <leafValues>
-            4.3782061338424683e-01 -2.5934530422091484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1079 -2.8332630172371864e-03</internalNodes>
-          <leafValues>
-            -2.6155671477317810e-01 4.1156601160764694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1080 -1.3269010232761502e-03</internalNodes>
-          <leafValues>
-            1.5967020392417908e-01 -3.3737391233444214e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1081 -9.1561209410429001e-03</internalNodes>
-          <leafValues>
-            -3.1967610120773315e-01 3.3890329301357269e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1082 -1.7915640026330948e-02</internalNodes>
-          <leafValues>
-            -7.0053237676620483e-01 4.4488841667771339e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1083 3.8176840171217918e-03</internalNodes>
-          <leafValues>
-            6.2512502074241638e-02 -1.6921320557594299e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1084 4.5008640881860629e-05</internalNodes>
-          <leafValues>
-            -9.8662726581096649e-02 7.9565010964870453e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1085 -5.6530670262873173e-03</internalNodes>
-          <leafValues>
-            2.9453009366989136e-01 -4.3036140501499176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1086 1.3065920211374760e-03</internalNodes>
-          <leafValues>
-            -6.6126309335231781e-02 1.9360679388046265e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1087 4.9355439841747284e-03</internalNodes>
-          <leafValues>
-            4.9594070762395859e-02 -2.2154040634632111e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1088 1.5995210036635399e-02</internalNodes>
-          <leafValues>
-            4.5337058603763580e-02 -2.1014940738677979e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1089 1.0815339628607035e-03</internalNodes>
-          <leafValues>
-            -1.1542639881372452e-01 8.3288490772247314e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1090 8.7853492004796863e-04</internalNodes>
-          <leafValues>
-            2.7896849438548088e-02 -9.9133409559726715e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1091 7.3434278601780534e-04</internalNodes>
-          <leafValues>
-            -5.6502331048250198e-02 1.7661200463771820e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1092 -1.0622059926390648e-03</internalNodes>
-          <leafValues>
-            -1.0033279657363892e-01 2.4592749774456024e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1093 -6.9304608041420579e-04</internalNodes>
-          <leafValues>
-            1.5932570397853851e-01 -5.8667950332164764e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1094 9.1822311514988542e-04</internalNodes>
-          <leafValues>
-            3.3871021121740341e-02 -1.1693420261144638e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1095 3.5730420495383441e-04</internalNodes>
-          <leafValues>
-            -7.0367507636547089e-02 1.4592669904232025e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1096 -7.4347230838611722e-04</internalNodes>
-          <leafValues>
-            -1.3231860101222992e-01 4.2515788227319717e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1097 -2.7919169515371323e-02</internalNodes>
-          <leafValues>
-            -6.4661091566085815e-01 1.4362960122525692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1098 -7.2348387911915779e-03</internalNodes>
-          <leafValues>
-            1.5208439528942108e-01 -2.5076340883970261e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1099 -1.2335630133748055e-02</internalNodes>
-          <leafValues>
-            -3.2772049307823181e-01 2.7494419366121292e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1100 8.9493131963536143e-04</internalNodes>
-          <leafValues>
-            -7.3789313435554504e-02 1.4715169370174408e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1101 -1.1678929440677166e-03</internalNodes>
-          <leafValues>
-            2.3279860615730286e-01 -4.6786271035671234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1102 -1.4189979992806911e-05</internalNodes>
-          <leafValues>
-            4.3930541723966599e-02 -3.7888601422309875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1103 1.1783849913626909e-03</internalNodes>
-          <leafValues>
-            4.6435151249170303e-02 -2.2555530071258545e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1104 3.1638250220566988e-03</internalNodes>
-          <leafValues>
-            1.4266540296375751e-02 -1.5830729901790619e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1105 -4.2278678156435490e-03</internalNodes>
-          <leafValues>
-            -2.3111909627914429e-01 3.9585571736097336e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1106 -2.9055060818791389e-02</internalNodes>
-          <leafValues>
-            2.2005799412727356e-01 -1.8948260694742203e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1107 -1.4660089618701022e-05</internalNodes>
-          <leafValues>
-            9.4057418406009674e-02 -8.9589871466159821e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1108 1.5642490470781922e-03</internalNodes>
-          <leafValues>
-            -2.9802989214658737e-02 2.0670419931411743e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1109 -1.6279580304399133e-03</internalNodes>
-          <leafValues>
-            -2.3323430120944977e-01 3.6563020199537277e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1110 -1.0405499488115311e-03</internalNodes>
-          <leafValues>
-            5.9083230793476105e-02 -3.2685071229934692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1111 -1.6444999491795897e-03</internalNodes>
-          <leafValues>
-            1.3493299484252930e-01 -6.0224398970603943e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1112 -5.3500832291319966e-04</internalNodes>
-          <leafValues>
-            -1.0380990058183670e-01 2.6242509484291077e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1113 8.8775012409314513e-04</internalNodes>
-          <leafValues>
-            3.5718239843845367e-02 -2.5862941145896912e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1114 3.7019669543951750e-03</internalNodes>
-          <leafValues>
-            -2.2746559232473373e-02 2.7165991067886353e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1115 -1.9900789484381676e-03</internalNodes>
-          <leafValues>
-            2.2302250564098358e-01 -3.6304280161857605e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1116 3.3227570820599794e-03</internalNodes>
-          <leafValues>
-            6.1393459327518940e-03 -5.9358280897140503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1117 8.7127886712551117e-02</internalNodes>
-          <leafValues>
-            3.1586099416017532e-02 -2.4441570043563843e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1118 -2.2545009851455688e-02</internalNodes>
-          <leafValues>
-            6.0322389006614685e-02 -5.0378400832414627e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1119 7.1416068822145462e-03</internalNodes>
-          <leafValues>
-            -5.1704131066799164e-02 1.6004230082035065e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1120 -1.5722440555691719e-02</internalNodes>
-          <leafValues>
-            -7.1705770492553711e-01 1.1371869593858719e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1121 -3.6207420635037124e-04</internalNodes>
-          <leafValues>
-            -1.4637580513954163e-01 5.2074629813432693e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1122 -3.0946239829063416e-02</internalNodes>
-          <leafValues>
-            2.8515431284904480e-01 -2.8299989178776741e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1123 -3.8750860840082169e-03</internalNodes>
-          <leafValues>
-            -1.8727800250053406e-01 4.7576699405908585e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1124 -5.3602852858603001e-04</internalNodes>
-          <leafValues>
-            7.9475373029708862e-02 -3.9783481508493423e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1125 9.3597290106117725e-04</internalNodes>
-          <leafValues>
-            3.0939189717173576e-02 -2.6814800500869751e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1126 8.5998268332332373e-04</internalNodes>
-          <leafValues>
-            -6.1905588954687119e-02 1.4959439635276794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1127 -1.0758650023490191e-03</internalNodes>
-          <leafValues>
-            7.5612559914588928e-02 -1.1494939774274826e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1128 4.5355302281677723e-03</internalNodes>
-          <leafValues>
-            5.6059500202536583e-03 -5.7013422250747681e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1129 4.7198678657878190e-05</internalNodes>
-          <leafValues>
-            -1.0799890011548996e-01 8.5406206548213959e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1130 -1.0689400369301438e-03</internalNodes>
-          <leafValues>
-            1.3189959526062012e-01 -7.2640426456928253e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1131 -7.7435292769223452e-04</internalNodes>
-          <leafValues>
-            -2.0819279551506042e-01 4.1918680071830750e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1132 -4.1570421308279037e-02</internalNodes>
-          <leafValues>
-            -3.8603949546813965e-01 6.2196617946028709e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1133 -1.2767040729522705e-01</internalNodes>
-          <leafValues>
-            -4.1226288676261902e-01 1.9546430557966232e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1134 4.6110390685498714e-03</internalNodes>
-          <leafValues>
-            -7.0534370839595795e-02 6.4243637025356293e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1135 -1.9830530509352684e-03</internalNodes>
-          <leafValues>
-            1.5599420666694641e-01 -7.5535386800765991e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1136 5.5741341784596443e-03</internalNodes>
-          <leafValues>
-            -5.3869280964136124e-02 1.7663550376892090e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1137 -6.2112910673022270e-03</internalNodes>
-          <leafValues>
-            -2.4935899674892426e-01 3.7481259554624557e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1138 -1.4880870003253222e-03</internalNodes>
-          <leafValues>
-            1.7453719675540924e-01 -2.9856640845537186e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1139 -1.6566930571570992e-03</internalNodes>
-          <leafValues>
-            -1.3825559616088867e-01 6.4315892755985260e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1140 -1.2179469689726830e-02</internalNodes>
-          <leafValues>
-            -7.3452550172805786e-01 6.6957371309399605e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1141 -8.2790851593017578e-04</internalNodes>
-          <leafValues>
-            -2.1595530211925507e-01 3.7085570394992828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1142 -1.6515310853719711e-02</internalNodes>
-          <leafValues>
-            8.6132906377315521e-02 -3.9982698857784271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1143 6.3035473227500916e-02</internalNodes>
-          <leafValues>
-            -3.2119460403919220e-02 2.7596130967140198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1144 -1.4381350483745337e-03</internalNodes>
-          <leafValues>
-            -2.1799820661544800e-01 4.0228120982646942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1145 -8.3341673016548157e-03</internalNodes>
-          <leafValues>
-            2.0551650226116180e-01 -4.3687049299478531e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1146 -2.6486050337553024e-03</internalNodes>
-          <leafValues>
-            1.1604149639606476e-01 -1.5633650124073029e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1147 1.0625630384311080e-03</internalNodes>
-          <leafValues>
-            -5.9282109141349792e-02 1.7666099965572357e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1148 1.6927489778026938e-03</internalNodes>
-          <leafValues>
-            2.1706450730562210e-02 -1.2041869759559631e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1149 4.3286401778459549e-03</internalNodes>
-          <leafValues>
-            1.2777020223438740e-02 -6.8458771705627441e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1150 -5.0025819800794125e-03</internalNodes>
-          <leafValues>
-            6.9742977619171143e-02 -4.5128200203180313e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1151 -4.0001221932470798e-03</internalNodes>
-          <leafValues>
-            -2.1252320706844330e-01 4.0566269308328629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1152 -2.9794070869684219e-03</internalNodes>
-          <leafValues>
-            -1.9225180149078369e-01 3.7790048867464066e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1153 -4.7926669940352440e-03</internalNodes>
-          <leafValues>
-            2.0764119923114777e-01 -4.1848249733448029e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1154 -1.2958609731867909e-03</internalNodes>
-          <leafValues>
-            1.0586590319871902e-01 -1.0162109881639481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1155 -3.9834968745708466e-02</internalNodes>
-          <leafValues>
-            -4.6228501200675964e-01 1.7882000654935837e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1156 -3.5444050445221364e-04</internalNodes>
-          <leafValues>
-            9.8369859158992767e-02 -7.9836666584014893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1157 7.3516031261533499e-04</internalNodes>
-          <leafValues>
-            4.3184559792280197e-02 -1.7705610394477844e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1158 -2.2232010960578918e-03</internalNodes>
-          <leafValues>
-            2.6093319058418274e-01 -2.0896289497613907e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1159 -3.3918209373950958e-02</internalNodes>
-          <leafValues>
-            -4.2818689346313477e-01 1.8691619858145714e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1160 1.6966359689831734e-03</internalNodes>
-          <leafValues>
-            -3.7930358201265335e-02 5.3745239973068237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1161 -1.6069110482931137e-02</internalNodes>
-          <leafValues>
-            2.7468490600585938e-01 -2.6708930730819702e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1162 6.7740790545940399e-03</internalNodes>
-          <leafValues>
-            1.4412250369787216e-02 -4.3264049291610718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1163 -4.1755018755793571e-03</internalNodes>
-          <leafValues>
-            -2.5962948799133301e-01 2.8292329981923103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1164 1.2053320184350014e-02</internalNodes>
-          <leafValues>
-            -1.6576129943132401e-02 2.3224839568138123e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1165 -2.6080579118570313e-05</internalNodes>
-          <leafValues>
-            8.1346921622753143e-02 -9.0487897396087646e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1166 -1.4344100236485247e-05</internalNodes>
-          <leafValues>
-            3.6852870136499405e-02 -4.1185200214385986e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1167 -3.9379368536174297e-03</internalNodes>
-          <leafValues>
-            -3.1543010473251343e-01 2.5417279452085495e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1168 4.0381070226430893e-02</internalNodes>
-          <leafValues>
-            2.3525550495833158e-03 -6.2616312503814697e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1169 6.4301681704819202e-03</internalNodes>
-          <leafValues>
-            -5.3877070546150208e-02 1.4479260146617889e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1170 -4.6332839876413345e-02</internalNodes>
-          <leafValues>
-            -3.8724219799041748e-01 9.4530889764428139e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1171 1.0219570249319077e-02</internalNodes>
-          <leafValues>
-            2.7350710704922676e-02 -2.6912888884544373e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1172 3.5570480395108461e-03</internalNodes>
-          <leafValues>
-            -3.1693849712610245e-02 9.5666013658046722e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1173 3.3236679882975295e-05</internalNodes>
-          <leafValues>
-            -7.8234672546386719e-02 9.4776540994644165e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1174 -5.1339739002287388e-03</internalNodes>
-          <leafValues>
-            1.6685609519481659e-01 -2.7505289763212204e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1175 -1.4517169802275021e-05</internalNodes>
-          <leafValues>
-            7.5686343014240265e-02 -1.0133370012044907e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1176 3.1801449949853122e-04</internalNodes>
-          <leafValues>
-            4.8777759075164795e-02 -1.4337550103664398e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1177 3.1173340976238251e-03</internalNodes>
-          <leafValues>
-            -3.3060338348150253e-02 2.3306910693645477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1178 2.5181370973587036e-01</internalNodes>
-          <leafValues>
-            2.5762580335140228e-03 -8.7339729070663452e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1179 -2.1105359494686127e-01</internalNodes>
-          <leafValues>
-            -4.9011439085006714e-01 1.4697089791297913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1180 2.0397249609231949e-02</internalNodes>
-          <leafValues>
-            6.3519459217786789e-03 -4.9986541271209717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1181 5.0813501002267003e-04</internalNodes>
-          <leafValues>
-            4.4790260493755341e-02 -1.4761149883270264e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1182 -3.8189589977264404e-03</internalNodes>
-          <leafValues>
-            9.7741521894931793e-02 -3.0301010236144066e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1183 -1.7395459581166506e-03</internalNodes>
-          <leafValues>
-            2.4675619602203369e-01 -2.9020030051469803e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1184 4.1809340473264456e-04</internalNodes>
-          <leafValues>
-            5.0920631736516953e-02 -1.0856080055236816e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1185 1.3991099549457431e-03</internalNodes>
-          <leafValues>
-            5.8758009225130081e-02 -1.1712399870157242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1186 8.7988591985777020e-04</internalNodes>
-          <leafValues>
-            -3.8413930684328079e-02 6.0627821832895279e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1187 -1.7343460349366069e-03</internalNodes>
-          <leafValues>
-            1.2327539920806885e-01 -5.8927621692419052e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1188 -5.1964629441499710e-02</internalNodes>
-          <leafValues>
-            -2.7523401379585266e-01 2.5769200176000595e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1189 1.1679840087890625e-01</internalNodes>
-          <leafValues>
-            -1.6948359087109566e-02 4.8907220363616943e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1190 1.5027469999040477e-05</internalNodes>
-          <leafValues>
-            -4.2930729687213898e-02 4.5053750276565552e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1191 -6.2790908850729465e-03</internalNodes>
-          <leafValues>
-            1.0057970136404037e-01 -7.1604646742343903e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1192 2.2292429581284523e-02</internalNodes>
-          <leafValues>
-            -3.3260539174079895e-02 5.9876371175050735e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1193 1.1112909764051437e-02</internalNodes>
-          <leafValues>
-            1.8461560830473900e-02 -4.0056389570236206e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1194 -2.7678120881319046e-02</internalNodes>
-          <leafValues>
-            -1.5821710228919983e-01 4.4526699930429459e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1195 1.1028380133211613e-02</internalNodes>
-          <leafValues>
-            -5.8520350605249405e-02 1.2061409652233124e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1196 -3.5407328605651855e-01</internalNodes>
-          <leafValues>
-            -9.0477108955383301e-01 3.2190340571105480e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1197 -2.9098710510879755e-03</internalNodes>
-          <leafValues>
-            2.3300099372863770e-01 -3.2274879515171051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1198 6.7031742073595524e-03</internalNodes>
-          <leafValues>
-            5.4442249238491058e-02 -1.4111320674419403e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1199 -2.3569950833916664e-02</internalNodes>
-          <leafValues>
-            2.6528549194335938e-01 -2.7591150254011154e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1200 8.1230228533968329e-04</internalNodes>
-          <leafValues>
-            -3.4654319286346436e-02 3.8616400212049484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1201 -4.9135009758174419e-03</internalNodes>
-          <leafValues>
-            -4.4999811053276062e-01 1.7377259209752083e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1202 4.7644469304941595e-04</internalNodes>
-          <leafValues>
-            4.3053060770034790e-02 -1.6222530603408813e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1203 -1.2371529592201114e-03</internalNodes>
-          <leafValues>
-            -1.9527329504489899e-01 3.4781698137521744e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1204 2.7213430032134056e-02</internalNodes>
-          <leafValues>
-            2.6703500188887119e-03 -4.6807101368904114e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1205 7.8581515699625015e-03</internalNodes>
-          <leafValues>
-            -3.1454358249902725e-02 2.3968310654163361e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1206 -9.4054918736219406e-03</internalNodes>
-          <leafValues>
-            -1.8506290018558502e-01 2.6161460205912590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1207 2.1883580833673477e-02</internalNodes>
-          <leafValues>
-            1.5367889776825905e-02 -4.7111880779266357e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1208 1.8064159899950027e-02</internalNodes>
-          <leafValues>
-            -2.2110609337687492e-02 2.4883800745010376e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1209 9.4773704186081886e-03</internalNodes>
-          <leafValues>
-            -3.2008700072765350e-02 2.1519260108470917e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1210 -1.6133759170770645e-02</internalNodes>
-          <leafValues>
-            -3.2680571079254150e-01 1.9019920378923416e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1211 2.4490270763635635e-02</internalNodes>
-          <leafValues>
-            -5.3573019802570343e-02 1.3475239276885986e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1212 -4.5099710114300251e-03</internalNodes>
-          <leafValues>
-            6.3583053648471832e-02 -4.9054648727178574e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1213 1.4463099651038647e-03</internalNodes>
-          <leafValues>
-            5.5047128349542618e-02 -1.3593649864196777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1214 2.7760691009461880e-03</internalNodes>
-          <leafValues>
-            -4.2384490370750427e-02 6.7933753132820129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1215 -1.4073699712753296e-01</internalNodes>
-          <leafValues>
-            -2.4455660581588745e-01 2.8879430145025253e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>237</maxWeakCount>
-      <stageThreshold>-9.5147550106048584e-01</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1216 -1.3682370074093342e-02</internalNodes>
-          <leafValues>
-            3.2413798570632935e-01 -1.4175209403038025e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1217 -1.4372760429978371e-02</internalNodes>
-          <leafValues>
-            2.4135230481624603e-01 -4.4534299522638321e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1218 -8.1836461322382092e-04</internalNodes>
-          <leafValues>
-            1.0672769695520401e-01 -1.5665370225906372e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1219 -1.2486530095338821e-01</internalNodes>
-          <leafValues>
-            3.4077370166778564e-01 -4.3315630406141281e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1220 1.6304250061511993e-01</internalNodes>
-          <leafValues>
-            1.5282359672710299e-03 -4.0748660278320312e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1221 3.2605718821287155e-02</internalNodes>
-          <leafValues>
-            -6.1942920088768005e-02 2.5561058521270752e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1222 1.8693620339035988e-02</internalNodes>
-          <leafValues>
-            1.0656840167939663e-03 -1.1298509521484375e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1223 4.1687521152198315e-03</internalNodes>
-          <leafValues>
-            3.6205310374498367e-02 -3.4358918666839600e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1224 2.4810180068016052e-01</internalNodes>
-          <leafValues>
-            1.0417460463941097e-02 -1.4925009765625000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1225 -1.5247239498421550e-03</internalNodes>
-          <leafValues>
-            1.0447689890861511e-01 -1.1282300204038620e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1226 4.3308010697364807e-01</internalNodes>
-          <leafValues>
-            -4.9477489665150642e-03 -2.2265880859375000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1227 1.2200199998915195e-03</internalNodes>
-          <leafValues>
-            4.8132400959730148e-02 -1.1945640295743942e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1228 3.4034859389066696e-02</internalNodes>
-          <leafValues>
-            1.2363449670374393e-02 -1.2715170312500000e+05</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1229 2.9459499273798428e-05</internalNodes>
-          <leafValues>
-            -4.2258169502019882e-02 4.6157348901033401e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1230 5.0410781055688858e-02</internalNodes>
-          <leafValues>
-            3.1929798424243927e-02 -7.3170861816406250e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1231 3.4591180738061666e-03</internalNodes>
-          <leafValues>
-            6.5230898559093475e-02 -1.8423840403556824e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1232 6.1741018295288086e-01</internalNodes>
-          <leafValues>
-            -9.0229194611310959e-03 -1.5548990234375000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1233 1.6172550618648529e-02</internalNodes>
-          <leafValues>
-            -2.1732240915298462e-02 4.3600159883499146e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1234 4.3139848858118057e-03</internalNodes>
-          <leafValues>
-            7.4104718863964081e-02 -1.5698270499706268e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1235 2.5886419415473938e-01</internalNodes>
-          <leafValues>
-            -3.3373549580574036e-02 2.7657139301300049e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1236 -5.6355118751525879e-02</internalNodes>
-          <leafValues>
-            1.6577279567718506e-01 -7.0722267031669617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1237 -2.8677979484200478e-02</internalNodes>
-          <leafValues>
-            -1.8732979893684387e-01 3.8104340434074402e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1238 2.6342319324612617e-02</internalNodes>
-          <leafValues>
-            -6.6387602128088474e-03 -1.2419830078125000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1239 2.3009490221738815e-02</internalNodes>
-          <leafValues>
-            -2.2657530382275581e-02 1.2870970368385315e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1240 -2.8790850192308426e-03</internalNodes>
-          <leafValues>
-            1.2932890653610229e-01 -7.0002339780330658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1241 -3.6661271005868912e-02</internalNodes>
-          <leafValues>
-            -2.0944400131702423e-01 5.1285970956087112e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1242 1.0139449685811996e-01</internalNodes>
-          <leafValues>
-            6.2089762650430202e-04 -1.0912600097656250e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1243 -9.5230191946029663e-03</internalNodes>
-          <leafValues>
-            1.1074540019035339e-01 -4.9746628850698471e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1244 4.7148238867521286e-02</internalNodes>
-          <leafValues>
-            -1.8974080681800842e-02 4.4045388698577881e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1245 2.6617941330187023e-04</internalNodes>
-          <leafValues>
-            3.5245511680841446e-02 -1.2747010588645935e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1246 -1.6388510121032596e-03</internalNodes>
-          <leafValues>
-            9.0450480580329895e-02 -9.1294348239898682e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1247 1.0469569824635983e-03</internalNodes>
-          <leafValues>
-            3.5024590790271759e-02 -2.4553160369396210e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1248 5.7105771265923977e-03</internalNodes>
-          <leafValues>
-            -4.1117560118436813e-02 2.0729669928550720e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1249 -3.0254309531301260e-03</internalNodes>
-          <leafValues>
-            -1.6913729906082153e-01 3.2537300139665604e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1250 4.3001459562219679e-04</internalNodes>
-          <leafValues>
-            -9.0787641704082489e-02 9.5726296305656433e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1251 -2.8151560574769974e-02</internalNodes>
-          <leafValues>
-            3.1782031059265137e-01 -1.5754420310258865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1252 1.4203020371496677e-02</internalNodes>
-          <leafValues>
-            3.6543320864439011e-02 -2.4772170186042786e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1253 1.4925509458407760e-03</internalNodes>
-          <leafValues>
-            -5.6895390152931213e-02 1.6450239717960358e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1254 -1.5694119501858950e-03</internalNodes>
-          <leafValues>
-            -2.1969459950923920e-01 4.2165379971265793e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1255 3.3460158854722977e-02</internalNodes>
-          <leafValues>
-            -3.0376350507140160e-02 2.4883690476417542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1256 2.1535790438065305e-05</internalNodes>
-          <leafValues>
-            -1.1558929830789566e-01 7.5267367064952850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1257 2.2091339633334428e-04</internalNodes>
-          <leafValues>
-            4.7116700559854507e-02 -1.3771249353885651e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1258 -3.0852231429889798e-04</internalNodes>
-          <leafValues>
-            -1.7308589816093445e-01 5.2946820855140686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1259 -2.2987410426139832e-02</internalNodes>
-          <leafValues>
-            9.3859672546386719e-02 -4.9169398844242096e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1260 -1.9873609766364098e-02</internalNodes>
-          <leafValues>
-            2.2172120213508606e-01 -4.0203988552093506e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1261 -2.1868769545108080e-03</internalNodes>
-          <leafValues>
-            7.3976643383502960e-02 -4.0414918214082718e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1262 1.9180430099368095e-03</internalNodes>
-          <leafValues>
-            2.2919140756130219e-02 -3.7119540572166443e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1263 1.9919909536838531e-03</internalNodes>
-          <leafValues>
-            -4.3757811188697815e-02 1.5035259723663330e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1264 -1.8371410667896271e-02</internalNodes>
-          <leafValues>
-            -3.4854280948638916e-01 2.2885089740157127e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1265 3.3407800365239382e-03</internalNodes>
-          <leafValues>
-            3.4570869058370590e-02 -1.2488479912281036e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1266 -5.8704670518636703e-02</internalNodes>
-          <leafValues>
-            3.7905201315879822e-01 -2.6460919529199600e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1267 6.8355379626154900e-03</internalNodes>
-          <leafValues>
-            6.1131529510021210e-03 -3.2385069131851196e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1268 -2.8255670331418514e-03</internalNodes>
-          <leafValues>
-            -3.1155520677566528e-01 2.6504810899496078e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1269 2.2296449169516563e-03</internalNodes>
-          <leafValues>
-            -3.1206009909510612e-02 1.7110890150070190e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1270 6.5813441760838032e-03</internalNodes>
-          <leafValues>
-            -4.7404121607542038e-02 1.7835719883441925e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1271 1.0121960192918777e-01</internalNodes>
-          <leafValues>
-            1.4261390082538128e-02 -4.3145358562469482e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1272 3.0684550292789936e-03</internalNodes>
-          <leafValues>
-            3.0059700831770897e-02 -2.4846489727497101e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1273 -3.0772039666771889e-02</internalNodes>
-          <leafValues>
-            3.2272088527679443e-01 -1.0183470323681831e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1274 2.2650569677352905e-02</internalNodes>
-          <leafValues>
-            -2.3484040051698685e-02 3.2515829801559448e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1275 3.3587489277124405e-02</internalNodes>
-          <leafValues>
-            -3.5907190293073654e-02 9.0325959026813507e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1276 -1.0384810157120228e-02</internalNodes>
-          <leafValues>
-            -2.4556130170822144e-01 3.0561409890651703e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1277 -1.3354570546653122e-04</internalNodes>
-          <leafValues>
-            8.3960212767124176e-02 -9.1717928647994995e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1278 -2.9986540321260691e-03</internalNodes>
-          <leafValues>
-            1.6547350585460663e-01 -5.0249978899955750e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1279 -2.9653869205503725e-05</internalNodes>
-          <leafValues>
-            4.8514939844608307e-02 -3.7718929350376129e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1280 -1.8298539798706770e-03</internalNodes>
-          <leafValues>
-            1.0312289744615555e-01 -7.0163890719413757e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1281 -7.9780339729040861e-04</internalNodes>
-          <leafValues>
-            -1.6155080497264862e-01 3.3425241708755493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1282 1.6090199351310730e-02</internalNodes>
-          <leafValues>
-            -2.3172449320554733e-02 3.1312319636344910e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1283 -2.6117239147424698e-02</internalNodes>
-          <leafValues>
-            -1.8283359706401825e-01 4.4406160712242126e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1284 5.3988862782716751e-04</internalNodes>
-          <leafValues>
-            3.7879750132560730e-02 -1.9420880079269409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1285 8.3446368575096130e-02</internalNodes>
-          <leafValues>
-            -5.4222598671913147e-02 1.1876580119132996e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1286 -5.8048460632562637e-02</internalNodes>
-          <leafValues>
-            1.1394450068473816e-01 -9.1198466718196869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1287 -1.8814830109477043e-03</internalNodes>
-          <leafValues>
-            -1.5262010693550110e-01 2.3864509537816048e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1288 1.3132189633324742e-03</internalNodes>
-          <leafValues>
-            -4.6137560158967972e-02 1.4679610729217529e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1289 -1.7690629465505481e-03</internalNodes>
-          <leafValues>
-            9.4071052968502045e-02 -3.4722801297903061e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1290 -1.0372219840064645e-03</internalNodes>
-          <leafValues>
-            1.8261389434337616e-01 -4.6382140368223190e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1291 1.0254649678245187e-03</internalNodes>
-          <leafValues>
-            4.6782769262790680e-02 -1.5734140574932098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1292 6.0706451768055558e-04</internalNodes>
-          <leafValues>
-            5.0757829099893570e-02 -1.4380960166454315e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1293 2.8512319549918175e-02</internalNodes>
-          <leafValues>
-            -4.1036080569028854e-02 1.3501669466495514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1294 1.3121340423822403e-02</internalNodes>
-          <leafValues>
-            1.8242850899696350e-02 -4.0659961104393005e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1295 -1.0520350188016891e-03</internalNodes>
-          <leafValues>
-            -9.1481313109397888e-02 4.8208720982074738e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1296 -5.2031682571396232e-04</internalNodes>
-          <leafValues>
-            1.7003460228443146e-01 -5.6223969906568527e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1297 3.6587389186024666e-03</internalNodes>
-          <leafValues>
-            2.7709450572729111e-02 -2.8259190917015076e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1298 6.9533567875623703e-03</internalNodes>
-          <leafValues>
-            -2.7793539687991142e-02 2.6696971058845520e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1299 -2.7009609621018171e-03</internalNodes>
-          <leafValues>
-            -1.1849860101938248e-01 2.9575539752840996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1300 2.6926631107926369e-03</internalNodes>
-          <leafValues>
-            3.4701220691204071e-02 -1.9704259932041168e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1301 8.9048492908477783e-01</internalNodes>
-          <leafValues>
-            9.4922678545117378e-03 -6.9257652759552002e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1302 1.2570730410516262e-02</internalNodes>
-          <leafValues>
-            1.0482070036232471e-02 -5.3685492277145386e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1303 -9.8518103361129761e-02</internalNodes>
-          <leafValues>
-            -1.3873669505119324e-01 1.6502020880579948e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1304 2.2518350742757320e-03</internalNodes>
-          <leafValues>
-            -3.8794040679931641e-02 1.7727519571781158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1305 2.5133260060101748e-03</internalNodes>
-          <leafValues>
-            -2.7275720611214638e-02 1.4456109702587128e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1306 -1.6838839510455728e-03</internalNodes>
-          <leafValues>
-            1.5908120572566986e-01 -4.3830271810293198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1307 1.0922889923676848e-03</internalNodes>
-          <leafValues>
-            3.0462669208645821e-02 -2.0940789580345154e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1308 -4.6525499783456326e-03</internalNodes>
-          <leafValues>
-            -5.0559902191162109e-01 1.2849849648773670e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1309 3.9402171969413757e-03</internalNodes>
-          <leafValues>
-            1.2510060332715511e-02 -3.6254620552062988e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1310 3.1555439345538616e-03</internalNodes>
-          <leafValues>
-            9.6861021593213081e-03 -6.0146772861480713e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1311 -7.4672501068562269e-04</internalNodes>
-          <leafValues>
-            7.9826571047306061e-02 -6.6200077533721924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1312 3.4551098942756653e-03</internalNodes>
-          <leafValues>
-            -2.1648630499839783e-02 2.7341049909591675e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1313 -1.8974170088768005e-03</internalNodes>
-          <leafValues>
-            -9.0953402221202850e-02 1.6143409535288811e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1314 3.5065270494669676e-03</internalNodes>
-          <leafValues>
-            2.2660460323095322e-02 -2.7876350283622742e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1315 -2.8986909455852583e-05</internalNodes>
-          <leafValues>
-            5.1336620002985001e-02 -6.1516389250755310e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1316 -7.4356691911816597e-03</internalNodes>
-          <leafValues>
-            1.0708740353584290e-01 -6.0333460569381714e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1317 3.8960299571044743e-04</internalNodes>
-          <leafValues>
-            -4.9783200025558472e-02 4.2651828378438950e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1318 -3.8861521170474589e-04</internalNodes>
-          <leafValues>
-            1.1715649813413620e-01 -6.5398089587688446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1319 6.1152309179306030e-02</internalNodes>
-          <leafValues>
-            3.6394819617271423e-03 -6.6099071502685547e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1320 -3.3038608729839325e-02</internalNodes>
-          <leafValues>
-            -1.7845560610294342e-01 3.6528710275888443e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1321 -4.0356258978135884e-04</internalNodes>
-          <leafValues>
-            2.6595359668135643e-02 -3.6493018269538879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1322 -2.9699380975216627e-03</internalNodes>
-          <leafValues>
-            1.7883479595184326e-01 -4.9407958984375000e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1323 5.5536800064146519e-03</internalNodes>
-          <leafValues>
-            2.0649340003728867e-02 -1.5717330574989319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1324 -2.0024640485644341e-02</internalNodes>
-          <leafValues>
-            2.2152520716190338e-01 -3.0920460820198059e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1325 -6.8768248893320560e-03</internalNodes>
-          <leafValues>
-            -2.0433600246906281e-01 1.4137160032987595e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1326 2.7050529606640339e-03</internalNodes>
-          <leafValues>
-            4.4882070273160934e-02 -1.6589009761810303e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1327 4.5226789079606533e-03</internalNodes>
-          <leafValues>
-            -9.3675320968031883e-03 8.1165276467800140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1328 -1.0950569994747639e-03</internalNodes>
-          <leafValues>
-            -1.6356320679187775e-01 4.3779909610748291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1329 -9.1500708367675543e-04</internalNodes>
-          <leafValues>
-            1.1621239781379700e-01 -4.0983591228723526e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1330 2.8402361273765564e-01</internalNodes>
-          <leafValues>
-            1.0129080154001713e-02 -6.0319852828979492e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1331 -1.6765540465712547e-02</internalNodes>
-          <leafValues>
-            7.5574487447738647e-02 -4.7983448952436447e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1332 -1.0621249675750732e-03</internalNodes>
-          <leafValues>
-            -1.7645570635795593e-01 3.7266809493303299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1333 -1.3859430328011513e-02</internalNodes>
-          <leafValues>
-            1.9205330312252045e-01 -2.5051679462194443e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1334 6.3116271048784256e-03</internalNodes>
-          <leafValues>
-            -3.7239659577608109e-02 1.7168369889259338e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1335 1.7877150326967239e-02</internalNodes>
-          <leafValues>
-            5.6739561259746552e-03 -3.8877210021018982e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1336 5.4825581610202789e-03</internalNodes>
-          <leafValues>
-            3.0310610309243202e-02 -2.2730059921741486e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1337 -1.3553289696574211e-02</internalNodes>
-          <leafValues>
-            2.6057419180870056e-01 -6.3845720142126083e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1338 2.5274800136685371e-03</internalNodes>
-          <leafValues>
-            4.0234599262475967e-02 -1.7549510300159454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1339 -6.4695789478719234e-03</internalNodes>
-          <leafValues>
-            7.6588369905948639e-02 -5.7295378297567368e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1340 -6.7757196724414825e-02</internalNodes>
-          <leafValues>
-            2.2221979498863220e-01 -3.3134650439023972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1341 -8.4518149495124817e-02</internalNodes>
-          <leafValues>
-            -5.0019848346710205e-01 4.1239801794290543e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1342 -8.1915102899074554e-02</internalNodes>
-          <leafValues>
-            -6.5000212192535400e-01 9.2215994372963905e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1343 5.9685902670025826e-04</internalNodes>
-          <leafValues>
-            3.1704228371381760e-02 -7.0871040225028992e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1344 -2.3389240726828575e-02</internalNodes>
-          <leafValues>
-            1.0624480247497559e-01 -6.4790308475494385e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1345 -8.0898992018774152e-04</internalNodes>
-          <leafValues>
-            -1.1900889873504639e-01 3.2629311084747314e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1346 1.9939169287681580e-03</internalNodes>
-          <leafValues>
-            7.4816852807998657e-02 -9.5308631658554077e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1347 -3.4726969897747040e-03</internalNodes>
-          <leafValues>
-            2.1070009469985962e-01 -3.9540618658065796e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1348 -3.3657159656286240e-03</internalNodes>
-          <leafValues>
-            1.2709540128707886e-01 -5.5735819041728973e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1349 -1.3575919903814793e-02</internalNodes>
-          <leafValues>
-            -1.5449869632720947e-01 4.0265358984470367e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1350 1.6253659850917757e-04</internalNodes>
-          <leafValues>
-            -1.1073529720306396e-01 6.9158107042312622e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1351 -8.3766528405249119e-04</internalNodes>
-          <leafValues>
-            8.5044503211975098e-02 -5.0807278603315353e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1352 6.7485118051990867e-04</internalNodes>
-          <leafValues>
-            3.3850058913230896e-02 -1.8681390583515167e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1353 4.5086331665515900e-02</internalNodes>
-          <leafValues>
-            -2.2217540070414543e-02 1.6278229653835297e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1354 3.5375991137698293e-04</internalNodes>
-          <leafValues>
-            -8.4861122071743011e-02 7.9549372196197510e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1355 -5.7213287800550461e-03</internalNodes>
-          <leafValues>
-            -1.5201200544834137e-01 8.8938418775796890e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1356 -7.2676259151194245e-05</internalNodes>
-          <leafValues>
-            7.4427559971809387e-02 -9.4257198274135590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1357 -1.5427060425281525e-03</internalNodes>
-          <leafValues>
-            9.9066533148288727e-02 -1.4238010160624981e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1358 -3.1625840347260237e-03</internalNodes>
-          <leafValues>
-            -1.8063150346279144e-01 3.3944349735975266e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1359 6.6523120040073991e-04</internalNodes>
-          <leafValues>
-            -4.0894519537687302e-02 6.0058850795030594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1360 -2.7951318770647049e-04</internalNodes>
-          <leafValues>
-            8.7963223457336426e-02 -7.9021811485290527e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1361 2.1129949018359184e-03</internalNodes>
-          <leafValues>
-            3.6279819905757904e-02 -8.4132328629493713e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1362 9.9497847259044647e-03</internalNodes>
-          <leafValues>
-            -5.5264249444007874e-02 1.2318620085716248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1363 5.4585319012403488e-03</internalNodes>
-          <leafValues>
-            1.7271419987082481e-02 -1.4714859426021576e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1364 -1.5861300053074956e-03</internalNodes>
-          <leafValues>
-            1.7243680357933044e-01 -3.7152450531721115e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1365 -3.7650260492227972e-04</internalNodes>
-          <leafValues>
-            -1.5841029584407806e-01 4.2054440826177597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1366 4.8947380855679512e-04</internalNodes>
-          <leafValues>
-            -8.6445927619934082e-02 8.4095031023025513e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1367 -4.2103161104023457e-04</internalNodes>
-          <leafValues>
-            1.2958380579948425e-01 -5.7010810822248459e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1368 1.7509369645267725e-03</internalNodes>
-          <leafValues>
-            -3.1569670885801315e-02 2.3537610471248627e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1369 3.2388899475336075e-02</internalNodes>
-          <leafValues>
-            9.8493462428450584e-03 -2.5093591213226318e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1370 -1.1695439752656966e-04</internalNodes>
-          <leafValues>
-            -1.2052779644727707e-01 5.7291809469461441e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1371 5.2962708286941051e-04</internalNodes>
-          <leafValues>
-            3.8372319191694260e-02 -1.2122260034084320e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1372 -1.6693899407982826e-02</internalNodes>
-          <leafValues>
-            9.3027323484420776e-02 -6.7262589931488037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1373 -4.4602990965358913e-04</internalNodes>
-          <leafValues>
-            -9.7155101597309113e-02 3.2263729721307755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1374 2.7705840766429901e-02</internalNodes>
-          <leafValues>
-            -4.5673649758100510e-02 1.3469059765338898e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1375 1.4168629604682792e-05</internalNodes>
-          <leafValues>
-            -5.1646851003170013e-02 5.7442869991064072e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1376 6.5597752109169960e-04</internalNodes>
-          <leafValues>
-            4.1580449789762497e-02 -1.5479899942874908e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1377 -1.9950540736317635e-02</internalNodes>
-          <leafValues>
-            1.0158760100603104e-01 -4.1194550693035126e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1378 -1.0277380049228668e-01</internalNodes>
-          <leafValues>
-            2.7642831206321716e-01 -2.2232910618185997e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1379 -1.1396359652280807e-02</internalNodes>
-          <leafValues>
-            -2.9092219471931458e-01 7.6221348717808723e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1380 4.2369891889393330e-03</internalNodes>
-          <leafValues>
-            2.8951080515980721e-02 -2.1133390069007874e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1381 1.3533539604395628e-03</internalNodes>
-          <leafValues>
-            -1.7100410535931587e-02 1.1205810308456421e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1382 3.8031381368637085e-01</internalNodes>
-          <leafValues>
-            1.7792930826544762e-02 -3.3087378740310669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1383 -4.9306880100630224e-05</internalNodes>
-          <leafValues>
-            5.7494789361953735e-02 -5.7994779199361801e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1384 -2.0659419242292643e-03</internalNodes>
-          <leafValues>
-            -2.4288409948348999e-01 2.6420449838042259e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1385 -5.7952571660280228e-04</internalNodes>
-          <leafValues>
-            4.3308749794960022e-02 -5.1844529807567596e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1386 2.9111439289408736e-05</internalNodes>
-          <leafValues>
-            -1.0596740245819092e-01 5.8839380741119385e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1387 1.4325099982670508e-05</internalNodes>
-          <leafValues>
-            -7.7876992523670197e-02 6.6765457391738892e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1388 7.4459682218730450e-04</internalNodes>
-          <leafValues>
-            -8.3045527338981628e-02 1.0169909894466400e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1389 -2.7282300870865583e-03</internalNodes>
-          <leafValues>
-            7.7897660434246063e-02 -2.5507520884275436e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1390 1.5567449852824211e-02</internalNodes>
-          <leafValues>
-            1.0506859980523586e-02 -5.9925341606140137e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1391 -6.8032061681151390e-03</internalNodes>
-          <leafValues>
-            2.6317459344863892e-01 -2.7121569961309433e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1392 4.7938480973243713e-02</internalNodes>
-          <leafValues>
-            7.4435519054532051e-03 -8.8113451004028320e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1393 -1.7394230235368013e-03</internalNodes>
-          <leafValues>
-            -1.0975260287523270e-01 5.5294711142778397e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1394 2.0128060132265091e-02</internalNodes>
-          <leafValues>
-            -2.9149420559406281e-02 2.2172920405864716e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1395 -4.3711899779736996e-03</internalNodes>
-          <leafValues>
-            -1.2924540042877197e-01 1.5891730785369873e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1396 1.0657859966158867e-02</internalNodes>
-          <leafValues>
-            -2.6825129985809326e-02 2.2967310249805450e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1397 -2.5562180206179619e-02</internalNodes>
-          <leafValues>
-            -9.6018558740615845e-01 2.4847979657351971e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1398 1.2549740495160222e-03</internalNodes>
-          <leafValues>
-            6.5428301692008972e-02 -9.0715043246746063e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1399 -3.6583960056304932e-02</internalNodes>
-          <leafValues>
-            -8.2619887590408325e-01 9.8219967912882566e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1400 -1.0427700355648994e-02</internalNodes>
-          <leafValues>
-            2.0940390229225159e-01 -2.9688650742173195e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1401 4.6284540439955890e-04</internalNodes>
-          <leafValues>
-            -9.5797866582870483e-02 6.4504817128181458e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1402 -1.7270300304517150e-03</internalNodes>
-          <leafValues>
-            -1.8250599503517151e-01 4.3564688414335251e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1403 -2.0097640808671713e-03</internalNodes>
-          <leafValues>
-            1.7395040392875671e-01 -3.4777939319610596e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1404 -1.0565159842371941e-02</internalNodes>
-          <leafValues>
-            -6.7046958208084106e-01 9.1460766270756721e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1405 3.6083920858800411e-03</internalNodes>
-          <leafValues>
-            -4.0318038314580917e-02 1.0652980208396912e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1406 -1.0259989649057388e-03</internalNodes>
-          <leafValues>
-            -1.4572420716285706e-01 4.2951799929141998e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1407 -3.7319560069590807e-03</internalNodes>
-          <leafValues>
-            7.1757651865482330e-02 -2.9140990227460861e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1408 1.2519509764388204e-03</internalNodes>
-          <leafValues>
-            -7.6744079589843750e-02 8.8873356580734253e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1409 -2.6295570656657219e-02</internalNodes>
-          <leafValues>
-            -5.4250258207321167e-01 6.4060981385409832e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1410 2.1677089855074883e-02</internalNodes>
-          <leafValues>
-            1.4695540070533752e-02 -4.2403239011764526e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1411 1.2761490419507027e-02</internalNodes>
-          <leafValues>
-            -1.7890950664877892e-02 1.9420540332794189e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1412 -2.0567029714584351e-03</internalNodes>
-          <leafValues>
-            6.7716017365455627e-02 -9.1368153691291809e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1413 -7.7950339764356613e-03</internalNodes>
-          <leafValues>
-            6.9471307098865509e-02 -3.2636199146509171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1414 1.2084699701517820e-03</internalNodes>
-          <leafValues>
-            3.9306450635194778e-02 -1.9763720035552979e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1415 4.1114289313554764e-02</internalNodes>
-          <leafValues>
-            -9.3598989769816399e-03 1.9510230422019958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1416 -1.9867620430886745e-03</internalNodes>
-          <leafValues>
-            8.9320957660675049e-02 -7.0197992026805878e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1417 4.3194511090405285e-04</internalNodes>
-          <leafValues>
-            -7.2992227971553802e-02 8.7222076952457428e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1418 -1.2856139801442623e-02</internalNodes>
-          <leafValues>
-            -1.9291040301322937e-01 3.7453301250934601e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1419 3.3460529521107674e-03</internalNodes>
-          <leafValues>
-            -1.7367599532008171e-02 2.7341571450233459e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1420 3.0642180354334414e-04</internalNodes>
-          <leafValues>
-            3.8734178990125656e-02 -1.5396389365196228e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1421 1.0412399657070637e-02</internalNodes>
-          <leafValues>
-            -2.2793370299041271e-03 4.4056978821754456e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1422 2.8117289766669273e-03</internalNodes>
-          <leafValues>
-            -1.9140290096402168e-02 2.9534861445426941e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1423 5.9893741272389889e-03</internalNodes>
-          <leafValues>
-            5.6822518818080425e-03 -3.9801359176635742e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1424 -1.4277939953899477e-05</internalNodes>
-          <leafValues>
-            7.5205951929092407e-02 -7.2355180978775024e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1425 2.8138908743858337e-01</internalNodes>
-          <leafValues>
-            3.0617320444434881e-03 -5.3069370985031128e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1426 -8.7479073554277420e-03</internalNodes>
-          <leafValues>
-            -9.0702220797538757e-02 6.1258301138877869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1427 -5.6720711290836334e-02</internalNodes>
-          <leafValues>
-            1.7737619578838348e-01 -1.7746560275554657e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1428 6.8297073245048523e-02</internalNodes>
-          <leafValues>
-            -2.3318519815802574e-02 2.7793890237808228e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1429 1.2627799808979034e-01</internalNodes>
-          <leafValues>
-            1.2115039862692356e-02 -4.1395869851112366e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1430 6.1351219192147255e-03</internalNodes>
-          <leafValues>
-            2.9587330296635628e-02 -1.9230470061302185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1431 -1.8394199432805181e-03</internalNodes>
-          <leafValues>
-            1.7592909932136536e-01 -2.5844290852546692e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1432 2.9283049516379833e-03</internalNodes>
-          <leafValues>
-            1.1218659579753876e-02 -5.0416141748428345e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1433 -6.1085459310561419e-04</internalNodes>
-          <leafValues>
-            8.2549288868904114e-02 -6.5701678395271301e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1434 -4.8793861060403287e-04</internalNodes>
-          <leafValues>
-            7.1810998022556305e-02 -7.6354406774044037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1435 8.6069349199533463e-03</internalNodes>
-          <leafValues>
-            4.0774960070848465e-02 -1.1507250368595123e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1436 1.4266039943322539e-03</internalNodes>
-          <leafValues>
-            -4.1656959801912308e-02 1.6798630356788635e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1437 4.8269471153616905e-03</internalNodes>
-          <leafValues>
-            4.0586888790130615e-03 -6.3450187444686890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1438 3.0349730513989925e-04</internalNodes>
-          <leafValues>
-            -7.4305862188339233e-02 9.2885307967662811e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1439 4.0700649842619896e-03</internalNodes>
-          <leafValues>
-            1.7601199448108673e-02 -1.4042760431766510e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1440 1.7230060184374452e-03</internalNodes>
-          <leafValues>
-            6.7328721284866333e-02 -1.1149639636278152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1441 -4.2959861457347870e-02</internalNodes>
-          <leafValues>
-            8.9163742959499359e-02 -5.3549990057945251e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1442 -7.6154018752276897e-03</internalNodes>
-          <leafValues>
-            1.1312600225210190e-01 -5.6240588426589966e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1443 1.1204009875655174e-02</internalNodes>
-          <leafValues>
-            2.1411050111055374e-02 -3.1488281488418579e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1444 -3.5213530063629150e-02</internalNodes>
-          <leafValues>
-            -2.0609620213508606e-01 2.8586030006408691e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1445 4.5947679318487644e-03</internalNodes>
-          <leafValues>
-            -1.7090849578380585e-02 2.2707240283489227e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1446 4.5796878635883331e-02</internalNodes>
-          <leafValues>
-            -1.3230360113084316e-02 4.3202790617942810e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1447 -2.9980540275573730e-03</internalNodes>
-          <leafValues>
-            -1.2645569443702698e-01 5.0367150455713272e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1448 -5.3378548473119736e-03</internalNodes>
-          <leafValues>
-            9.5470063388347626e-02 -5.8848761022090912e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1449 1.0418590391054749e-03</internalNodes>
-          <leafValues>
-            -6.1176940798759460e-02 6.5677382051944733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1450 6.4219138585031033e-04</internalNodes>
-          <leafValues>
-            -7.8584067523479462e-02 7.0961080491542816e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1451 1.0756379924714565e-03</internalNodes>
-          <leafValues>
-            4.1385240852832794e-02 -1.4342910051345825e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1452 -5.4661920294165611e-03</internalNodes>
-          <leafValues>
-            1.2052729725837708e-01 -4.7768119722604752e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>245</maxWeakCount>
-      <stageThreshold>-8.9815771579742432e-01</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1453 1.4044909738004208e-02</internalNodes>
-          <leafValues>
-            -1.1754830181598663e-01 2.9966700077056885e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1454 1.3747519915341400e-05</internalNodes>
-          <leafValues>
-            -4.0695600211620331e-02 5.3288660943508148e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1455 6.1071332311257720e-04</internalNodes>
-          <leafValues>
-            -1.5881499648094177e-01 9.3698732554912567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1456 -1.2948609655722976e-03</internalNodes>
-          <leafValues>
-            -5.4627988487482071e-02 2.7983199805021286e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1457 3.4624651074409485e-01</internalNodes>
-          <leafValues>
-            2.6321019977331161e-02 -1.4812429687500000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1458 -3.8160590920597315e-03</internalNodes>
-          <leafValues>
-            2.4088940024375916e-01 -2.9296329244971275e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1459 3.4190680831670761e-02</internalNodes>
-          <leafValues>
-            -2.7402290143072605e-03 -3.1396430664062500e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1460 1.1889369925484061e-03</internalNodes>
-          <leafValues>
-            -6.6801503300666809e-02 1.2544539570808411e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1461 -1.1160460300743580e-02</internalNodes>
-          <leafValues>
-            1.4045539498329163e-01 -8.2512803375720978e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1462 1.5963950427249074e-03</internalNodes>
-          <leafValues>
-            6.3538387417793274e-02 -1.7245189845561981e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1463 1.0270989732816815e-03</internalNodes>
-          <leafValues>
-            8.7721683084964752e-02 -1.2988109886646271e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1464 3.6547291092574596e-03</internalNodes>
-          <leafValues>
-            -9.1982476413249969e-02 1.1752050369977951e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1465 -1.7952709458768368e-03</internalNodes>
-          <leafValues>
-            1.4286880195140839e-01 -7.6801367104053497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1466 -6.8708707112818956e-04</internalNodes>
-          <leafValues>
-            -1.3375990092754364e-01 6.5970778465270996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1467 2.2609028965234756e-03</internalNodes>
-          <leafValues>
-            3.1525388360023499e-02 -2.9333940148353577e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1468 -7.9880550038069487e-04</internalNodes>
-          <leafValues>
-            9.2652402818202972e-02 -4.8865720629692078e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1469 -1.4205630123615265e-01</internalNodes>
-          <leafValues>
-            2.9974219202995300e-01 -3.1955420970916748e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1470 -2.6552429422736168e-02</internalNodes>
-          <leafValues>
-            9.3852818012237549e-02 -5.9430178254842758e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1471 -1.3033810071647167e-02</internalNodes>
-          <leafValues>
-            -2.1567200124263763e-01 4.3825730681419373e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1472 1.5498420223593712e-02</internalNodes>
-          <leafValues>
-            -1.4112919569015503e-02 1.0027839988470078e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1473 -2.1014609374105930e-03</internalNodes>
-          <leafValues>
-            1.6404679417610168e-01 -6.6425412893295288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1474 9.5388311892747879e-03</internalNodes>
-          <leafValues>
-            3.8093499839305878e-02 -2.9983720183372498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1475 -1.5687920385971665e-03</internalNodes>
-          <leafValues>
-            2.3949630558490753e-01 -4.6231910586357117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1476 4.2190421372652054e-03</internalNodes>
-          <leafValues>
-            -4.4786229729652405e-02 2.0811119675636292e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1477 -3.0952331144362688e-04</internalNodes>
-          <leafValues>
-            -1.2582519650459290e-01 8.1964462995529175e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1478 4.6312180347740650e-04</internalNodes>
-          <leafValues>
-            -9.6806809306144714e-02 9.4297870993614197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1479 2.4860999546945095e-03</internalNodes>
-          <leafValues>
-            5.5631000548601151e-02 -1.5159459412097931e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1480 -5.3660441190004349e-03</internalNodes>
-          <leafValues>
-            -2.8408879041671753e-01 2.7606539428234100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1481 -1.3755810214206576e-03</internalNodes>
-          <leafValues>
-            2.1815380454063416e-01 -3.9356950670480728e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1482 4.6460707671940327e-03</internalNodes>
-          <leafValues>
-            2.5740889832377434e-02 -2.4686050415039062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1483 6.6427360288798809e-03</internalNodes>
-          <leafValues>
-            -5.2207160741090775e-02 1.5937830507755280e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1484 -8.5125081241130829e-03</internalNodes>
-          <leafValues>
-            -5.1953881978988647e-01 5.7587879709899426e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1485 -1.0186510160565376e-02</internalNodes>
-          <leafValues>
-            -4.9416080117225647e-01 1.4378200285136700e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1486 3.3871911466121674e-02</internalNodes>
-          <leafValues>
-            -2.1367419511079788e-02 3.4267479181289673e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1487 -1.2628670083358884e-03</internalNodes>
-          <leafValues>
-            8.1579618155956268e-02 -8.5091993212699890e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1488 5.8080098824575543e-04</internalNodes>
-          <leafValues>
-            4.0864091366529465e-02 -1.9041730463504791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1489 -1.5919590368866920e-03</internalNodes>
-          <leafValues>
-            2.1132859587669373e-01 -3.2383318990468979e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1490 1.9183800322934985e-03</internalNodes>
-          <leafValues>
-            3.5422440618276596e-02 -1.2954640388488770e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1491 -3.3837689552456141e-03</internalNodes>
-          <leafValues>
-            -3.9200991392135620e-01 1.7284810543060303e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1492 -4.4958260841667652e-03</internalNodes>
-          <leafValues>
-            -6.5269482135772705e-01 8.9287841692566872e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1493 1.1123440228402615e-02</internalNodes>
-          <leafValues>
-            -4.9451079219579697e-02 1.3990929722785950e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1494 -2.1186670288443565e-02</internalNodes>
-          <leafValues>
-            1.4022010564804077e-01 -3.2561041414737701e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1495 4.7813180834054947e-02</internalNodes>
-          <leafValues>
-            1.7437700182199478e-02 -4.0824559330940247e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1496 4.3155639432370663e-03</internalNodes>
-          <leafValues>
-            1.9035950303077698e-02 -1.5336640179157257e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1497 4.8115472309291363e-03</internalNodes>
-          <leafValues>
-            3.1786568462848663e-02 -2.2056590020656586e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1498 9.8020406439900398e-03</internalNodes>
-          <leafValues>
-            -3.6895118653774261e-02 2.3310080170631409e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1499 -3.0184770002961159e-03</internalNodes>
-          <leafValues>
-            1.5916270017623901e-01 -5.2995648235082626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1500 2.6722450274974108e-03</internalNodes>
-          <leafValues>
-            -7.5243122875690460e-02 5.0269700586795807e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1501 1.2502169702202082e-03</internalNodes>
-          <leafValues>
-            -5.1091250032186508e-02 1.4441229403018951e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1502 1.4972910284996033e-03</internalNodes>
-          <leafValues>
-            2.6812529191374779e-02 -1.6315759718418121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1503 -2.8825521003454924e-03</internalNodes>
-          <leafValues>
-            -4.1588610410690308e-01 1.8284549936652184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1504 -2.2845040075480938e-03</internalNodes>
-          <leafValues>
-            1.1726160347461700e-01 -5.0136148929595947e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1505 5.2596088498830795e-03</internalNodes>
-          <leafValues>
-            2.4950170889496803e-02 -3.0131611227989197e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1506 1.5561799518764019e-03</internalNodes>
-          <leafValues>
-            -1.0462810099124908e-01 7.1823246777057648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1507 -2.5602891109883785e-03</internalNodes>
-          <leafValues>
-            1.6153579950332642e-01 -4.4245410710573196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1508 8.9566741371527314e-04</internalNodes>
-          <leafValues>
-            2.8113519772887230e-02 -8.6903810501098633e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1509 1.3984919860376976e-05</internalNodes>
-          <leafValues>
-            -1.0637009888887405e-01 6.4237020909786224e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1510 -3.0262451036833227e-04</internalNodes>
-          <leafValues>
-            -1.6569760441780090e-01 5.9751808643341064e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1511 -2.5108361151069403e-03</internalNodes>
-          <leafValues>
-            8.8912777602672577e-02 -7.2652541100978851e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1512 1.9389450317248702e-03</internalNodes>
-          <leafValues>
-            2.9152520000934601e-02 -9.1866388916969299e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1513 7.3843088466674089e-04</internalNodes>
-          <leafValues>
-            -4.2057931423187256e-02 1.5995030105113983e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1514 -3.6558669526129961e-03</internalNodes>
-          <leafValues>
-            -9.5142677426338196e-02 1.7093049362301826e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1515 2.6905719190835953e-02</internalNodes>
-          <leafValues>
-            -5.1677141338586807e-02 1.2445399910211563e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1516 1.5600489859934896e-04</internalNodes>
-          <leafValues>
-            4.8049561679363251e-02 -1.0828830301761627e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1517 -2.9363629437284544e-05</internalNodes>
-          <leafValues>
-            7.7676616609096527e-02 -8.3602227270603180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1518 -1.3152750208973885e-02</internalNodes>
-          <leafValues>
-            -5.3625142574310303e-01 9.8441755399107933e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1519 1.2583429925143719e-03</internalNodes>
-          <leafValues>
-            3.6697480827569962e-02 -1.9785030186176300e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1520 -3.5280231386423111e-02</internalNodes>
-          <leafValues>
-            2.8760561347007751e-01 -2.4332510307431221e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1521 1.0623750276863575e-03</internalNodes>
-          <leafValues>
-            -6.4936116337776184e-02 1.0775420069694519e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1522 1.3485189811035525e-05</internalNodes>
-          <leafValues>
-            -9.1917447745800018e-02 5.9476271271705627e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1523 2.6417789049446583e-03</internalNodes>
-          <leafValues>
-            5.2622731775045395e-02 -1.3380350172519684e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1524 -4.2458991520106792e-03</internalNodes>
-          <leafValues>
-            1.5622630715370178e-01 -3.9715219289064407e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1525 -1.2747449800372124e-02</internalNodes>
-          <leafValues>
-            -3.9632159471511841e-01 1.6892410814762115e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1526 5.0329609075561166e-04</internalNodes>
-          <leafValues>
-            -4.6448979526758194e-02 8.7452828884124756e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1527 -1.3987520105729345e-05</internalNodes>
-          <leafValues>
-            9.0819023549556732e-02 -8.3491086959838867e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1528 3.3579400042071939e-04</internalNodes>
-          <leafValues>
-            3.0231660231947899e-02 -8.4349960088729858e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1529 5.5269408039748669e-03</internalNodes>
-          <leafValues>
-            -7.3858089745044708e-02 8.5668817162513733e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1530 -1.7237789870705456e-04</internalNodes>
-          <leafValues>
-            -7.0609577000141144e-02 3.4158289432525635e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1531 -2.7978639118373394e-03</internalNodes>
-          <leafValues>
-            1.9515010714530945e-01 -3.3844988793134689e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1532 -1.4513960195472464e-05</internalNodes>
-          <leafValues>
-            4.3614171445369720e-02 -3.4747149795293808e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1533 6.4136547734960914e-04</internalNodes>
-          <leafValues>
-            4.0988758206367493e-02 -1.7332290112972260e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1534 -9.5870634540915489e-03</internalNodes>
-          <leafValues>
-            1.4798779785633087e-01 -3.3517260104417801e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1535 -1.6748090274631977e-03</internalNodes>
-          <leafValues>
-            -1.8289859592914581e-01 3.4056250005960464e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1536 -3.5602890420705080e-04</internalNodes>
-          <leafValues>
-            -9.0450271964073181e-02 2.9689440503716469e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1537 -2.5170370936393738e-03</internalNodes>
-          <leafValues>
-            3.3267921209335327e-01 -1.9150910899043083e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1538 3.6662290804088116e-03</internalNodes>
-          <leafValues>
-            2.0794689655303955e-02 -1.1462289839982986e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1539 3.3933550585061312e-03</internalNodes>
-          <leafValues>
-            -2.0670190453529358e-02 2.8567948937416077e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1540 -9.3351822579279542e-04</internalNodes>
-          <leafValues>
-            8.7735213339328766e-02 -4.1667710989713669e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1541 1.5587939880788326e-02</internalNodes>
-          <leafValues>
-            3.2399158924818039e-02 -1.9780139625072479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1542 3.8261379813775420e-04</internalNodes>
-          <leafValues>
-            -8.8336393237113953e-02 5.5809110403060913e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1543 1.2352470075711608e-03</internalNodes>
-          <leafValues>
-            3.4270290285348892e-02 -1.7848719656467438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1544 7.5910572195425630e-04</internalNodes>
-          <leafValues>
-            -5.5778361856937408e-02 6.1857070773839951e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1545 2.8413049876689911e-03</internalNodes>
-          <leafValues>
-            -2.7083519846200943e-02 2.3203529417514801e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1546 -1.4313060091808438e-05</internalNodes>
-          <leafValues>
-            6.6050931811332703e-02 -5.9752069413661957e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1547 -3.6771351005882025e-03</internalNodes>
-          <leafValues>
-            -4.0045088529586792e-01 1.4387479983270168e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1548 -2.5888609234243631e-03</internalNodes>
-          <leafValues>
-            1.1220999807119370e-01 -4.7137189656496048e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1549 1.1471610050648451e-03</internalNodes>
-          <leafValues>
-            4.7330550849437714e-02 -1.3199129700660706e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1550 1.6501640900969505e-02</internalNodes>
-          <leafValues>
-            -3.4597828984260559e-02 9.5769941806793213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1551 3.3293468877673149e-03</internalNodes>
-          <leafValues>
-            4.1258718818426132e-02 -1.6558709740638733e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1552 1.7063439590856433e-03</internalNodes>
-          <leafValues>
-            -3.2584629952907562e-02 2.7619439363479614e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1553 -2.7118679136037827e-03</internalNodes>
-          <leafValues>
-            8.9609041810035706e-02 -6.4858056604862213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1554 -4.1943859308958054e-02</internalNodes>
-          <leafValues>
-            -5.3329932689666748e-01 6.9506950676441193e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1555 2.2219200618565083e-03</internalNodes>
-          <leafValues>
-            -5.6344181299209595e-02 1.0510399937629700e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1556 4.4396471232175827e-02</internalNodes>
-          <leafValues>
-            8.1383727956563234e-04 -1.0001629590988159e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1557 -6.6766492091119289e-03</internalNodes>
-          <leafValues>
-            -1.4048320055007935e-01 4.3647080659866333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1558 -1.4053310267627239e-02</internalNodes>
-          <leafValues>
-            -7.8012561798095703e-01 2.0627910271286964e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1559 2.8836489946115762e-05</internalNodes>
-          <leafValues>
-            -6.9865100085735321e-02 8.1550262868404388e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1560 2.3246949538588524e-02</internalNodes>
-          <leafValues>
-            -1.0230179876089096e-02 2.2243100404739380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1561 -1.8424650654196739e-02</internalNodes>
-          <leafValues>
-            -2.1308340132236481e-01 3.0248960480093956e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1562 -1.1484029702842236e-02</internalNodes>
-          <leafValues>
-            1.9427800178527832e-01 -3.0198210850358009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1563 -1.1278050020337105e-02</internalNodes>
-          <leafValues>
-            -1.8280689418315887e-01 3.2126009464263916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1564 8.0079799517989159e-03</internalNodes>
-          <leafValues>
-            -2.2145880386233330e-02 2.8033518791198730e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1565 2.4508950300514698e-03</internalNodes>
-          <leafValues>
-            -3.1573358923196793e-02 1.9028620421886444e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1566 -7.3367758886888623e-04</internalNodes>
-          <leafValues>
-            6.2882833182811737e-02 -2.9410809278488159e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1567 4.7427918761968613e-03</internalNodes>
-          <leafValues>
-            1.8659200519323349e-02 -3.6193120479583740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1568 -1.5166309662163258e-02</internalNodes>
-          <leafValues>
-            -3.0083620548248291e-01 5.1251458935439587e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1569 2.0500000100582838e-03</internalNodes>
-          <leafValues>
-            -3.3869780600070953e-02 1.6676980257034302e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1570 8.9623825624585152e-03</internalNodes>
-          <leafValues>
-            9.9547952413558960e-03 -1.3321259617805481e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1571 5.8658542111515999e-03</internalNodes>
-          <leafValues>
-            2.8031339868903160e-02 -2.1094280481338501e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1572 7.1393670514225960e-03</internalNodes>
-          <leafValues>
-            -3.3273868262767792e-02 9.2609196901321411e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1573 -2.3449780419468880e-03</internalNodes>
-          <leafValues>
-            9.6021108329296112e-02 -8.1295557320117950e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1574 6.0673272237181664e-03</internalNodes>
-          <leafValues>
-            -3.7160739302635193e-02 5.9563819319009781e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1575 -7.9464316368103027e-03</internalNodes>
-          <leafValues>
-            1.2790870666503906e-01 -6.0662470757961273e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1576 6.3600740395486355e-04</internalNodes>
-          <leafValues>
-            2.4837940931320190e-02 -1.1699199676513672e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1577 -5.9671682538464665e-04</internalNodes>
-          <leafValues>
-            -1.7579829692840576e-01 3.9644010365009308e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1578 3.8733381032943726e-01</internalNodes>
-          <leafValues>
-            1.2454539537429810e-02 -4.6469339728355408e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1579 2.0961730182170868e-01</internalNodes>
-          <leafValues>
-            8.1857265904545784e-03 -6.0814487934112549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1580 -3.6388849839568138e-03</internalNodes>
-          <leafValues>
-            -1.9478240609169006e-01 2.6340700685977936e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1581 -3.9718127809464931e-03</internalNodes>
-          <leafValues>
-            2.7739891409873962e-01 -2.2029049694538116e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1582 -8.7379878095816821e-05</internalNodes>
-          <leafValues>
-            3.6866988986730576e-02 -3.4307479858398438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1583 -4.9215141683816910e-02</internalNodes>
-          <leafValues>
-            -4.5262241363525391e-01 1.2579060159623623e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1584 -1.6017559682950377e-03</internalNodes>
-          <leafValues>
-            2.0021310448646545e-01 -4.3042439967393875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1585 -1.4037380424269941e-05</internalNodes>
-          <leafValues>
-            7.3363706469535828e-02 -7.9242199659347534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1586 2.0111119747161865e-01</internalNodes>
-          <leafValues>
-            7.1724099107086658e-03 -3.6252960562705994e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1587 1.1730849510058761e-03</internalNodes>
-          <leafValues>
-            4.5483089983463287e-02 -1.2364199757575989e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1588 -4.1541741666151211e-05</internalNodes>
-          <leafValues>
-            5.3658191114664078e-02 -5.7738419622182846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1589 3.6186390207149088e-04</internalNodes>
-          <leafValues>
-            -8.9843407273292542e-02 7.6897308230400085e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1590 -5.7938909158110619e-03</internalNodes>
-          <leafValues>
-            -1.3961860537528992e-01 3.0140429735183716e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1591 -9.3461759388446808e-04</internalNodes>
-          <leafValues>
-            1.3507390022277832e-01 -4.6672869473695755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1592 4.0281258523464203e-02</internalNodes>
-          <leafValues>
-            5.6996531784534454e-03 -5.3407847881317139e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1593 -2.3343730717897415e-02</internalNodes>
-          <leafValues>
-            -5.6592631340026855e-01 9.9596958607435226e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1594 1.0834979824721813e-02</internalNodes>
-          <leafValues>
-            -2.0727390423417091e-02 1.3920789957046509e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1595 -1.0692279785871506e-02</internalNodes>
-          <leafValues>
-            -3.9034500718116760e-01 1.4858629554510117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1596 -3.7577420007437468e-03</internalNodes>
-          <leafValues>
-            7.2709776461124420e-02 -5.5485241115093231e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1597 4.8496359959244728e-03</internalNodes>
-          <leafValues>
-            -4.4144079089164734e-02 1.4520399272441864e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1598 -2.0216009579598904e-03</internalNodes>
-          <leafValues>
-            -1.2228240072727203e-01 1.9589329138398170e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1599 -3.0792229808866978e-03</internalNodes>
-          <leafValues>
-            -1.3739609718322754e-01 4.4269159436225891e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1600 -3.0445810407400131e-02</internalNodes>
-          <leafValues>
-            1.0403379797935486e-01 -6.3097096979618073e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1601 3.2141059637069702e-02</internalNodes>
-          <leafValues>
-            -3.4690480679273605e-02 1.9732339680194855e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1602 1.0678219841793180e-03</internalNodes>
-          <leafValues>
-            3.1145870685577393e-02 -7.4491903185844421e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1603 5.7594738900661469e-02</internalNodes>
-          <leafValues>
-            -2.1155780181288719e-02 2.7825739979743958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1604 -4.3557130265980959e-04</internalNodes>
-          <leafValues>
-            7.0562250912189484e-02 -4.3941300362348557e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1605 2.6335280854254961e-03</internalNodes>
-          <leafValues>
-            3.4343041479587555e-02 -1.9728440046310425e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1606 -1.8992539844475687e-04</internalNodes>
-          <leafValues>
-            3.8183588534593582e-02 -3.9899230003356934e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1607 2.3401959333568811e-03</internalNodes>
-          <leafValues>
-            4.3499860912561417e-02 -1.4296689629554749e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1608 2.2936260327696800e-02</internalNodes>
-          <leafValues>
-            -4.5327339321374893e-02 9.6657410264015198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1609 -9.9645974114537239e-04</internalNodes>
-          <leafValues>
-            -1.3013899326324463e-01 4.2947601526975632e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1610 -1.6800489975139499e-03</internalNodes>
-          <leafValues>
-            1.2129139900207520e-01 -4.8279300332069397e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1611 1.4437539903155994e-05</internalNodes>
-          <leafValues>
-            -7.6120197772979736e-02 8.3246052265167236e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1612 -2.4843189865350723e-02</internalNodes>
-          <leafValues>
-            -1.3380190730094910e-01 1.3220779597759247e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1613 -1.0164140257984400e-03</internalNodes>
-          <leafValues>
-            1.0272929817438126e-01 -7.6802343130111694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1614 -4.1430609417147934e-04</internalNodes>
-          <leafValues>
-            -1.1245259642601013e-01 3.0514910817146301e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1615 -6.7945162300020456e-04</internalNodes>
-          <leafValues>
-            -1.6325150430202484e-01 3.3536169677972794e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1616 1.9495520740747452e-02</internalNodes>
-          <leafValues>
-            5.7650068774819374e-03 -4.5265421271324158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1617 -5.3661768324673176e-03</internalNodes>
-          <leafValues>
-            9.9718101322650909e-02 -5.6515909731388092e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1618 5.6726497132331133e-04</internalNodes>
-          <leafValues>
-            -6.0869559645652771e-02 7.9314343631267548e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1619 1.3020439445972443e-01</internalNodes>
-          <leafValues>
-            8.3379819989204407e-03 -6.4657479524612427e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1620 -1.5517289936542511e-01</internalNodes>
-          <leafValues>
-            -1.9947460293769836e-01 2.8714579530060291e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1621 -1.0103389620780945e-02</internalNodes>
-          <leafValues>
-            -5.5504488945007324e-01 9.4422968104481697e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1622 -5.3147180005908012e-04</internalNodes>
-          <leafValues>
-            -1.1538010090589523e-01 2.5066599249839783e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1623 2.7250559069216251e-03</internalNodes>
-          <leafValues>
-            -3.1389288604259491e-02 1.6994899511337280e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1624 5.7027460570679978e-05</internalNodes>
-          <leafValues>
-            -5.3073558956384659e-02 5.3962681442499161e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1625 -1.5532029792666435e-02</internalNodes>
-          <leafValues>
-            7.9827189445495605e-02 -6.7680947482585907e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1626 8.5362847894430161e-03</internalNodes>
-          <leafValues>
-            -7.0293392054736614e-03 3.0805149674415588e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1627 -3.7575151509372517e-05</internalNodes>
-          <leafValues>
-            8.4663920104503632e-02 -7.6399482786655426e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1628 -8.6169335991144180e-03</internalNodes>
-          <leafValues>
-            -2.5099471211433411e-01 6.7693921737372875e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1629 -4.6231658197939396e-03</internalNodes>
-          <leafValues>
-            -2.1756580471992493e-01 2.6302969083189964e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1630 -3.0669190455228090e-03</internalNodes>
-          <leafValues>
-            4.9040269106626511e-02 -2.9388900846242905e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1631 -2.0297299488447607e-04</internalNodes>
-          <leafValues>
-            7.3129378259181976e-02 -7.3650099337100983e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1632 3.7411341327242553e-04</internalNodes>
-          <leafValues>
-            -5.7002428919076920e-02 1.1576510220766068e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1633 -3.6344649270176888e-03</internalNodes>
-          <leafValues>
-            -1.2033560127019882e-01 5.1267258822917938e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1634 -4.1708979755640030e-02</internalNodes>
-          <leafValues>
-            1.7255930602550507e-01 -2.5525050237774849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1635 -3.8403399288654327e-02</internalNodes>
-          <leafValues>
-            -5.6570559740066528e-01 9.7671225666999817e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1636 4.1329801082611084e-02</internalNodes>
-          <leafValues>
-            1.8378839595243335e-03 -7.4326777458190918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1637 5.1363147795200348e-03</internalNodes>
-          <leafValues>
-            -3.5778369754552841e-02 1.5663790702819824e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1638 -4.3387200683355331e-02</internalNodes>
-          <leafValues>
-            -7.4183559417724609e-01 7.4417991563677788e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1639 -3.9333879947662354e-01</internalNodes>
-          <leafValues>
-            -8.0782192945480347e-01 5.0263358280062675e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1640 -4.5350207947194576e-03</internalNodes>
-          <leafValues>
-            -1.0642389953136444e-01 1.5727840363979340e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1641 1.9919529557228088e-02</internalNodes>
-          <leafValues>
-            6.0822288505733013e-03 -8.2916480302810669e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1642 2.3730589076876640e-02</internalNodes>
-          <leafValues>
-            6.4080459997057915e-03 -1.6867209970951080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1643 -2.8552979230880737e-02</internalNodes>
-          <leafValues>
-            2.0902900397777557e-01 -2.5401420891284943e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1644 -1.0153220035135746e-02</internalNodes>
-          <leafValues>
-            -1.7431560158729553e-01 3.2279461622238159e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1645 -1.3743219897150993e-02</internalNodes>
-          <leafValues>
-            1.4481510221958160e-01 -3.8015659898519516e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1646 -5.0018008798360825e-02</internalNodes>
-          <leafValues>
-            1.2793619930744171e-01 -1.7024690285325050e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1647 7.3427949100732803e-03</internalNodes>
-          <leafValues>
-            -6.1966661363840103e-02 9.6776783466339111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1648 -2.8415350243449211e-05</internalNodes>
-          <leafValues>
-            3.8222339004278183e-02 -3.4578870981931686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1649 -4.7856881283223629e-03</internalNodes>
-          <leafValues>
-            -2.3318560421466827e-01 2.6358589529991150e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1650 -2.5914890691637993e-02</internalNodes>
-          <leafValues>
-            -3.9864018559455872e-01 5.1441029645502567e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1651 -2.9252108652144670e-04</internalNodes>
-          <leafValues>
-            7.1496248245239258e-02 -8.0430403351783752e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1652 -1.1403319658711553e-03</internalNodes>
-          <leafValues>
-            5.4625019431114197e-02 -3.8924530148506165e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1653 8.4561068797484040e-04</internalNodes>
-          <leafValues>
-            3.3605828881263733e-02 -1.6251370310783386e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1654 6.5537020564079285e-02</internalNodes>
-          <leafValues>
-            -4.3104059994220734e-02 1.2173459678888321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1655 -1.4268089830875397e-01</internalNodes>
-          <leafValues>
-            -3.9792910218238831e-01 1.4490179717540741e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1656 -1.9059600308537483e-02</internalNodes>
-          <leafValues>
-            1.4526650309562683e-01 -8.6782136932015419e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1657 -1.5515769831836224e-02</internalNodes>
-          <leafValues>
-            1.1133140325546265e-01 -5.3697030991315842e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1658 1.3885410130023956e-01</internalNodes>
-          <leafValues>
-            -5.0534959882497787e-03 1.6789239645004272e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1659 1.7033860087394714e-01</internalNodes>
-          <leafValues>
-            1.0047719813883305e-02 -6.4494568109512329e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1660 5.2646450698375702e-02</internalNodes>
-          <leafValues>
-            3.6884329747408628e-03 -1.8775080144405365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1661 -7.9300440847873688e-03</internalNodes>
-          <leafValues>
-            -3.2442069053649902e-01 1.6116160899400711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1662 3.1593221426010132e-01</internalNodes>
-          <leafValues>
-            -1.2846199795603752e-02 4.5563331246376038e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1663 8.8319703936576843e-03</internalNodes>
-          <leafValues>
-            5.2410300821065903e-02 -1.1414919793605804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1664 -1.2973800301551819e-02</internalNodes>
-          <leafValues>
-            2.3786480724811554e-01 -2.0313760265707970e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1665 3.0844169668853283e-03</internalNodes>
-          <leafValues>
-            6.0380458831787109e-02 -1.0091140121221542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1666 -2.7839969843626022e-02</internalNodes>
-          <leafValues>
-            1.0084290057420731e-01 -1.0545670054852962e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1667 -3.0661900527775288e-03</internalNodes>
-          <leafValues>
-            -1.0459470003843307e-01 5.1240298897027969e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1668 -8.1280972808599472e-03</internalNodes>
-          <leafValues>
-            1.5106280148029327e-01 -1.9644349813461304e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1669 3.8767930120229721e-02</internalNodes>
-          <leafValues>
-            6.2415110878646374e-03 -8.3952087163925171e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1670 6.6339358687400818e-02</internalNodes>
-          <leafValues>
-            -2.3870199918746948e-02 2.2625799477100372e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1671 -2.9363119974732399e-03</internalNodes>
-          <leafValues>
-            -1.5040889382362366e-01 3.6693960428237915e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1672 -9.2636849731206894e-03</internalNodes>
-          <leafValues>
-            1.2020699679851532e-01 -1.1293319985270500e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1673 1.3361490331590176e-02</internalNodes>
-          <leafValues>
-            1.5341799706220627e-02 -3.5258570313453674e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1674 4.6068900264799595e-03</internalNodes>
-          <leafValues>
-            -4.5361459255218506e-02 5.5542398244142532e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1675 5.9639662504196167e-04</internalNodes>
-          <leafValues>
-            3.2120391726493835e-02 -1.7702579498291016e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1676 1.5830510528758168e-04</internalNodes>
-          <leafValues>
-            4.2900439351797104e-02 -8.0514959990978241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1677 9.4060867559164762e-04</internalNodes>
-          <leafValues>
-            -3.9882160723209381e-02 1.3454659283161163e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1678 -3.8463119417428970e-02</internalNodes>
-          <leafValues>
-            -1. 1.4261410105973482e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1679 1.2119730236008763e-03</internalNodes>
-          <leafValues>
-            -1.0469900071620941e-01 6.5710946917533875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1680 -5.8379401452839375e-03</internalNodes>
-          <leafValues>
-            1.4715319871902466e-01 -6.5610289573669434e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1681 -1.4856379712000489e-03</internalNodes>
-          <leafValues>
-            -1.6367240250110626e-01 3.6001469939947128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1682 -4.6175359748303890e-03</internalNodes>
-          <leafValues>
-            1.8892879784107208e-01 -1.4663389883935452e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1683 1.9380920275580138e-04</internalNodes>
-          <leafValues>
-            -7.0864766836166382e-02 9.3604557216167450e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1684 -2.9661089647561312e-03</internalNodes>
-          <leafValues>
-            -6.1803489923477173e-01 8.6903069168329239e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1685 1.4307440324046183e-05</internalNodes>
-          <leafValues>
-            -9.0512536466121674e-02 5.9804238379001617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1686 1.2180440127849579e-02</internalNodes>
-          <leafValues>
-            2.3737740702927113e-03 -5.6064158678054810e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1687 -3.3536320552229881e-03</internalNodes>
-          <leafValues>
-            2.5614398717880249e-01 -2.1437460556626320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1688 -1.2697829864919186e-02</internalNodes>
-          <leafValues>
-            2.7518770098686218e-01 -2.1501349285244942e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1689 -1.7751600593328476e-02</internalNodes>
-          <leafValues>
-            -4.6445640921592712e-01 1.5054970048367977e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1690 4.3673209846019745e-02</internalNodes>
-          <leafValues>
-            3.3700480125844479e-03 -3.1441199779510498e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1691 4.5492161065340042e-02</internalNodes>
-          <leafValues>
-            8.5049429908394814e-03 -6.4043509960174561e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1692 -1.0141120105981827e-01</internalNodes>
-          <leafValues>
-            -1. 1.4608280616812408e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1693 -2.7950519695878029e-02</internalNodes>
-          <leafValues>
-            2.3282410204410553e-01 -2.4742539972066879e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1694 6.3734117429703474e-04</internalNodes>
-          <leafValues>
-            -6.5201878547668457e-02 5.8342281728982925e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1695 -3.2297719735652208e-03</internalNodes>
-          <leafValues>
-            -1.2013810127973557e-01 4.8295538872480392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1696 -4.7359239310026169e-02</internalNodes>
-          <leafValues>
-            -6.5350711345672607e-01 2.3264330811798573e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1697 1.8326259450986981e-03</internalNodes>
-          <leafValues>
-            -5.5741731077432632e-02 9.5505326986312866e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>279</maxWeakCount>
-      <stageThreshold>-9.5101702213287354e-01</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1698 6.9287262856960297e-02</internalNodes>
-          <leafValues>
-            -1.0325390100479126e-01 3.6703258752822876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1699 -7.8862551599740982e-03</internalNodes>
-          <leafValues>
-            -7.5367718935012817e-01 6.1004441231489182e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1700 -8.6761467158794403e-02</internalNodes>
-          <leafValues>
-            4.2298769950866699e-01 -4.8861160874366760e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1701 -4.6193759888410568e-02</internalNodes>
-          <leafValues>
-            1.2829530239105225e-01 -6.2890656292438507e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1702 4.5601249439641833e-04</internalNodes>
-          <leafValues>
-            -1.4540119469165802e-01 8.9171208441257477e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1703 2.2151950001716614e-01</internalNodes>
-          <leafValues>
-            1.0495079681277275e-02 -1.9372780621051788e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1704 -2.8609700166271068e-05</internalNodes>
-          <leafValues>
-            8.9309170842170715e-02 -1.2048160284757614e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1705 1.1661860160529613e-02</internalNodes>
-          <leafValues>
-            -3.6442179232835770e-02 3.2719528675079346e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1706 -3.9292860776185989e-02</internalNodes>
-          <leafValues>
-            2.3638220131397247e-01 -2.1902250126004219e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1707 4.7508609713986516e-04</internalNodes>
-          <leafValues>
-            -8.2093991339206696e-02 7.0899896323680878e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1708 2.7530049905180931e-02</internalNodes>
-          <leafValues>
-            -4.6179860830307007e-02 2.2978270053863525e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1709 2.4088330566883087e-02</internalNodes>
-          <leafValues>
-            2.5007570162415504e-02 -3.6831110715866089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1710 3.1142881198320538e-05</internalNodes>
-          <leafValues>
-            -1.5297169983386993e-01 7.4359253048896790e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1711 -3.8976089563220739e-03</internalNodes>
-          <leafValues>
-            -1.8000039458274841e-01 5.2392251789569855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1712 -7.5943870469927788e-03</internalNodes>
-          <leafValues>
-            -1.9217739999294281e-01 4.8256490379571915e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1713 -3.4858959261327982e-03</internalNodes>
-          <leafValues>
-            8.1301920115947723e-02 -6.6110998392105103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1714 -3.5117838531732559e-02</internalNodes>
-          <leafValues>
-            -2.6033520698547363e-01 3.9632041007280350e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1715 2.2614879906177521e-01</internalNodes>
-          <leafValues>
-            -2.9896909371018410e-02 2.8666049242019653e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1716 1.9386729598045349e-01</internalNodes>
-          <leafValues>
-            -1.4692339755129069e-04 -7.1909208984375000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1717 -4.5231450349092484e-03</internalNodes>
-          <leafValues>
-            -7.1015566587448120e-02 2.1436849609017372e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1718 -2.9855089262127876e-02</internalNodes>
-          <leafValues>
-            1.1950010061264038e-01 -7.5768560171127319e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1719 -7.8530138125643134e-04</internalNodes>
-          <leafValues>
-            1.5392230451107025e-01 -4.3703861534595490e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1720 -4.3314939830452204e-05</internalNodes>
-          <leafValues>
-            9.2457972466945648e-02 -9.1111399233341217e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1721 9.0954294428229332e-03</internalNodes>
-          <leafValues>
-            -2.0682830363512039e-02 7.5521059334278107e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1722 -6.4024911262094975e-04</internalNodes>
-          <leafValues>
-            -2.0595400035381317e-01 4.3313179165124893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1723 2.1848140750080347e-03</internalNodes>
-          <leafValues>
-            -2.3959070444107056e-02 1.3920339941978455e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1724 -6.5740908030420542e-04</internalNodes>
-          <leafValues>
-            9.6214868128299713e-02 -8.4607146680355072e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1725 -2.6019528741016984e-04</internalNodes>
-          <leafValues>
-            -1.3024799525737762e-01 5.1234468817710876e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1726 -5.0155790522694588e-03</internalNodes>
-          <leafValues>
-            -5.7478731870651245e-01 1.1919369921088219e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1727 3.2060540979728103e-04</internalNodes>
-          <leafValues>
-            4.5675579458475113e-02 -1.5236130356788635e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1728 8.5811875760555267e-03</internalNodes>
-          <leafValues>
-            -3.0357500538229942e-02 2.1575599908828735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1729 1.1925109662115574e-02</internalNodes>
-          <leafValues>
-            -2.8248419985175133e-02 1.9682750105857849e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1730 -4.7097587957978249e-03</internalNodes>
-          <leafValues>
-            8.2625426352024078e-02 -1.1231990158557892e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1731 -1.0695779928937554e-03</internalNodes>
-          <leafValues>
-            3.4612610936164856e-02 -3.4769508987665176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1732 -4.9490150995552540e-03</internalNodes>
-          <leafValues>
-            -1.8427060544490814e-01 4.2387481778860092e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1733 -6.7667837720364332e-04</internalNodes>
-          <leafValues>
-            9.3548178672790527e-02 -8.7969146668910980e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1734 4.9757309257984161e-02</internalNodes>
-          <leafValues>
-            2.7587689459323883e-02 -2.5638130307197571e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1735 -1.0812530526891351e-03</internalNodes>
-          <leafValues>
-            1.6654999554157257e-01 -3.7381488829851151e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1736 5.0784139893949032e-03</internalNodes>
-          <leafValues>
-            2.1401269361376762e-02 -3.2902011275291443e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1737 -1.4780629426240921e-03</internalNodes>
-          <leafValues>
-            5.8206021785736084e-02 -2.8309479355812073e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1738 8.3614438772201538e-03</internalNodes>
-          <leafValues>
-            -5.0670899450778961e-02 1.6926950216293335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1739 8.0310832709074020e-03</internalNodes>
-          <leafValues>
-            2.3582600057125092e-02 -3.0375048518180847e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1740 -2.8671300242422149e-05</internalNodes>
-          <leafValues>
-            7.7157698571681976e-02 -7.8943833708763123e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1741 -7.9513173550367355e-03</internalNodes>
-          <leafValues>
-            -1.3142600655555725e-01 3.4881640225648880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1742 1.4974420191720128e-03</internalNodes>
-          <leafValues>
-            -5.1281169056892395e-02 1.2815970182418823e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1743 -2.2107020486146212e-03</internalNodes>
-          <leafValues>
-            7.8908361494541168e-02 -3.5110998898744583e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1744 3.3375908969901502e-04</internalNodes>
-          <leafValues>
-            -7.3800027370452881e-02 9.0184502303600311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1745 -1.5214539598673582e-03</internalNodes>
-          <leafValues>
-            -1.4592529833316803e-01 4.7654949128627777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1746 4.4929070281796157e-04</internalNodes>
-          <leafValues>
-            -7.0153526961803436e-02 9.5465831458568573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1747 1.5836360398679972e-03</internalNodes>
-          <leafValues>
-            2.8301160782575607e-02 -1.4393569529056549e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1748 -1.6235290095210075e-02</internalNodes>
-          <leafValues>
-            1.8387019634246826e-01 -3.6908861249685287e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1749 -3.4098308533430099e-02</internalNodes>
-          <leafValues>
-            1.6756339371204376e-01 -2.5717439129948616e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1750 -2.9732889379374683e-04</internalNodes>
-          <leafValues>
-            -1.3297170400619507e-01 4.8040248453617096e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1751 1.3863020285498351e-05</internalNodes>
-          <leafValues>
-            -4.4619798660278320e-02 4.9105420708656311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1752 4.7123921103775501e-04</internalNodes>
-          <leafValues>
-            4.3268211185932159e-02 -1.6172820329666138e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1753 -4.1129379533231258e-03</internalNodes>
-          <leafValues>
-            2.1532170474529266e-01 -2.2212410345673561e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1754 8.4233487723395228e-04</internalNodes>
-          <leafValues>
-            -3.9122831076383591e-02 1.6345480084419250e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1755 1.3869360554963350e-03</internalNodes>
-          <leafValues>
-            4.0814429521560669e-02 -2.4761269986629486e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1756 2.3325090296566486e-03</internalNodes>
-          <leafValues>
-            3.6428030580282211e-02 -1.5850290656089783e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1757 9.2067092657089233e-02</internalNodes>
-          <leafValues>
-            -3.6511659622192383e-02 9.4252876937389374e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1758 -6.6990442574024200e-02</internalNodes>
-          <leafValues>
-            3.1247970461845398e-01 -2.1145220845937729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1759 -2.0284320414066315e-01</internalNodes>
-          <leafValues>
-            -1.4556419849395752e-01 3.4133061766624451e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1760 -1.9777350127696991e-01</internalNodes>
-          <leafValues>
-            2.0860530436038971e-01 -3.0937839299440384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1761 2.9955860227346420e-03</internalNodes>
-          <leafValues>
-            5.1478169858455658e-02 -9.0642452239990234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1762 -1.3588789850473404e-02</internalNodes>
-          <leafValues>
-            -1.5979449450969696e-01 4.2713351547718048e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1763 -1.0466199601069093e-03</internalNodes>
-          <leafValues>
-            1.0747960209846497e-01 -5.8228868991136551e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1764 2.8862239560112357e-04</internalNodes>
-          <leafValues>
-            -7.2858572006225586e-02 1.0977680236101151e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1765 -2.7921080589294434e-02</internalNodes>
-          <leafValues>
-            -2.4890719354152679e-01 8.8059734553098679e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1766 -1.1447289958596230e-02</internalNodes>
-          <leafValues>
-            1.5152229368686676e-01 -3.8170240819454193e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1767 -3.3761549275368452e-03</internalNodes>
-          <leafValues>
-            1.1309570074081421e-01 -5.5087108165025711e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1768 -5.2940822206437588e-03</internalNodes>
-          <leafValues>
-            -1.5518580377101898e-01 3.7175498902797699e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1769 6.9440458901226521e-04</internalNodes>
-          <leafValues>
-            -3.9365228265523911e-02 1.3071919977664948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1770 1.4813370398769621e-05</internalNodes>
-          <leafValues>
-            -7.1707822382450104e-02 7.4765637516975403e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1771 -1.3590740272775292e-03</internalNodes>
-          <leafValues>
-            -1.2917560338973999e-01 4.3069899082183838e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1772 6.9750571856275201e-04</internalNodes>
-          <leafValues>
-            -4.3258938938379288e-02 1.4512489736080170e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1773 -4.6163110528141260e-04</internalNodes>
-          <leafValues>
-            9.1437846422195435e-02 -5.3290210664272308e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1774 -3.0486299656331539e-03</internalNodes>
-          <leafValues>
-            -2.1486389636993408e-01 2.7408670634031296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1775 -3.3797100186347961e-03</internalNodes>
-          <leafValues>
-            1.0764840245246887e-01 -4.3844230473041534e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1776 -8.4170768968760967e-04</internalNodes>
-          <leafValues>
-            -1.9803969562053680e-01 2.9308119788765907e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1777 1.0257579851895571e-03</internalNodes>
-          <leafValues>
-            -7.4067540466785431e-02 1.2488970160484314e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1778 8.0574918538331985e-03</internalNodes>
-          <leafValues>
-            2.0815389230847359e-02 -2.6045981049537659e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1779 -8.3471642574295402e-04</internalNodes>
-          <leafValues>
-            8.7164878845214844e-02 -6.6393643617630005e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1780 -1.9537750631570816e-04</internalNodes>
-          <leafValues>
-            8.0834336578845978e-02 -6.8215869367122650e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1781 -6.3116732053458691e-03</internalNodes>
-          <leafValues>
-            -7.2064602375030518e-01 3.9312788285315037e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1782 1.4718360034748912e-04</internalNodes>
-          <leafValues>
-            5.1508098840713501e-02 -1.0907209664583206e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1783 2.8240380343049765e-03</internalNodes>
-          <leafValues>
-            -3.5113781690597534e-02 8.6087152361869812e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1784 -1.0794559493660927e-03</internalNodes>
-          <leafValues>
-            8.6356408894062042e-02 -6.2143780291080475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1785 4.7946680337190628e-02</internalNodes>
-          <leafValues>
-            1.2823230354115367e-03 -9.1077202558517456e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1786 2.9353320132941008e-04</internalNodes>
-          <leafValues>
-            -7.4236482381820679e-02 9.5342949032783508e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1787 3.4700211137533188e-02</internalNodes>
-          <leafValues>
-            2.1481830626726151e-03 -8.7691652774810791e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1788 -2.0402260124683380e-02</internalNodes>
-          <leafValues>
-            -4.9989640712738037e-01 9.8876487463712692e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1789 1.9776409026235342e-03</internalNodes>
-          <leafValues>
-            -4.6828888356685638e-02 5.6408070027828217e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1790 -6.9213248789310455e-03</internalNodes>
-          <leafValues>
-            -1.9620729982852936e-01 2.7109440416097641e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1791 4.3053150177001953e-02</internalNodes>
-          <leafValues>
-            -1.6171690076589584e-02 1.1537670344114304e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1792 4.0770901250652969e-05</internalNodes>
-          <leafValues>
-            -7.2369873523712158e-02 7.8648090362548828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1793 -1.1116759851574898e-02</internalNodes>
-          <leafValues>
-            1.7709450423717499e-01 -2.6758000254631042e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1794 2.2260710597038269e-02</internalNodes>
-          <leafValues>
-            4.2804859578609467e-02 -1.3306209444999695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1795 2.2397749125957489e-02</internalNodes>
-          <leafValues>
-            -8.4760002791881561e-03 2.0141950249671936e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1796 -2.2704310249537230e-03</internalNodes>
-          <leafValues>
-            1.0329409688711166e-01 -5.9588078409433365e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1797 8.6120571941137314e-03</internalNodes>
-          <leafValues>
-            4.4897329062223434e-02 -1.5256009995937347e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1798 4.2043669964186847e-05</internalNodes>
-          <leafValues>
-            -7.5515180826187134e-02 7.4329316616058350e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1799 -2.6688739657402039e-02</internalNodes>
-          <leafValues>
-            -9.0282207727432251e-01 2.5531589053571224e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1800 -1.2111039832234383e-03</internalNodes>
-          <leafValues>
-            8.7331131100654602e-02 -6.1327978968620300e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1801 6.6678058356046677e-03</internalNodes>
-          <leafValues>
-            1.2144420295953751e-02 -1.7702829837799072e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1802 5.1054819487035275e-03</internalNodes>
-          <leafValues>
-            -5.2553549408912659e-02 1.0995060205459595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1803 -4.3119120527990162e-04</internalNodes>
-          <leafValues>
-            -1.1329609900712967e-01 2.7260279282927513e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1804 9.0407149400562048e-04</internalNodes>
-          <leafValues>
-            -7.4957557022571564e-02 7.0602118968963623e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1805 -4.2526099085807800e-01</internalNodes>
-          <leafValues>
-            -2.2629819810390472e-01 1.2958800420165062e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1806 -1.8204950029030442e-03</internalNodes>
-          <leafValues>
-            2.1072770655155182e-01 -2.8397979214787483e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1807 1.6079390048980713e-01</internalNodes>
-          <leafValues>
-            -1.1575119569897652e-02 4.7614181041717529e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1808 1.7258119769394398e-03</internalNodes>
-          <leafValues>
-            4.1094399988651276e-02 -1.4275330305099487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1809 -1.4840350486338139e-03</internalNodes>
-          <leafValues>
-            -1.6670119762420654e-01 3.2535050064325333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1810 7.1747507899999619e-03</internalNodes>
-          <leafValues>
-            7.0819728076457977e-02 -8.9106030762195587e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1811 -8.2580056041479111e-03</internalNodes>
-          <leafValues>
-            1.0304500162601471e-01 -3.3432789146900177e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1812 -6.7563762422651052e-04</internalNodes>
-          <leafValues>
-            9.2545412480831146e-02 -6.2600679695606232e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1813 1.5063700266182423e-03</internalNodes>
-          <leafValues>
-            3.4287590533494949e-02 -5.2697051316499710e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1814 6.4832060597836971e-03</internalNodes>
-          <leafValues>
-            -7.9551890492439270e-02 8.3565287292003632e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1815 1.5010650269687176e-02</internalNodes>
-          <leafValues>
-            -2.3017060011625290e-02 2.8918200731277466e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1816 2.3918910883367062e-03</internalNodes>
-          <leafValues>
-            2.2861290723085403e-02 -2.8804329037666321e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1817 1.8441990017890930e-02</internalNodes>
-          <leafValues>
-            5.6940279901027679e-03 -4.0642881393432617e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1818 1.5894079580903053e-02</internalNodes>
-          <leafValues>
-            9.7483089193701744e-03 -5.4180818796157837e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1819 -6.0511790215969086e-03</internalNodes>
-          <leafValues>
-            5.1702819764614105e-02 -1.8666969612240791e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1820 -1.7308069393038750e-02</internalNodes>
-          <leafValues>
-            -6.4874321222305298e-01 8.5127726197242737e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1821 -3.0910979956388474e-02</internalNodes>
-          <leafValues>
-            -3.5174548625946045e-01 1.5809880569577217e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1822 -9.6330260857939720e-03</internalNodes>
-          <leafValues>
-            1.6103549301624298e-01 -3.5562090575695038e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1823 -3.8023660890758038e-03</internalNodes>
-          <leafValues>
-            -1.0701960325241089e-01 2.3216780275106430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1824 -1.1252719908952713e-01</internalNodes>
-          <leafValues>
-            -8.6782878637313843e-01 5.9430040419101715e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1825 -8.0329097807407379e-02</internalNodes>
-          <leafValues>
-            2.3479300737380981e-01 -2.4581069126725197e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1826 -4.8303799703717232e-03</internalNodes>
-          <leafValues>
-            -2.0043809711933136e-01 2.9466770589351654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1827 5.9475651942193508e-03</internalNodes>
-          <leafValues>
-            -4.1612159460783005e-02 1.0927669703960419e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1828 -1.5954700112342834e-01</internalNodes>
-          <leafValues>
-            -9.2996472120285034e-01 5.9394179843366146e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1829 -6.2117610126733780e-02</internalNodes>
-          <leafValues>
-            -1. -9.8518899176269770e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1830 -1.6722660511732101e-02</internalNodes>
-          <leafValues>
-            2.0358540117740631e-01 -2.6677429676055908e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1831 2.5412259856238961e-04</internalNodes>
-          <leafValues>
-            3.5772711038589478e-02 -1.1497990041971207e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1832 -4.4589709490537643e-02</internalNodes>
-          <leafValues>
-            -8.2331168651580811e-01 5.8186561800539494e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1833 5.0029508769512177e-02</internalNodes>
-          <leafValues>
-            6.5201208926737309e-03 -6.0308629274368286e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1834 2.7316421270370483e-01</internalNodes>
-          <leafValues>
-            1.0105229914188385e-02 -4.4744080305099487e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1835 1.9679760560393333e-02</internalNodes>
-          <leafValues>
-            7.3466659523546696e-03 -2.7913179993629456e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1836 -2.6382820680737495e-02</internalNodes>
-          <leafValues>
-            -6.0314857959747314e-01 7.7110212296247482e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1837 -6.1990451067686081e-03</internalNodes>
-          <leafValues>
-            1.5202729403972626e-01 -2.0159959793090820e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1838 9.0291406959295273e-03</internalNodes>
-          <leafValues>
-            -2.3990979418158531e-02 2.4176830053329468e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1839 -1.3173219747841358e-02</internalNodes>
-          <leafValues>
-            -4.7442790865898132e-01 6.2788990326225758e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1840 9.9061578512191772e-03</internalNodes>
-          <leafValues>
-            1.1161520145833492e-02 -5.1541870832443237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1841 9.6910722553730011e-02</internalNodes>
-          <leafValues>
-            1.9756879657506943e-02 -1.1220339685678482e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1842 -1.2751290202140808e-01</internalNodes>
-          <leafValues>
-            -1.1650139838457108e-01 4.3513149023056030e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1843 7.3522380553185940e-03</internalNodes>
-          <leafValues>
-            -1.5223789960145950e-02 1.2865990400314331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1844 -8.0287149176001549e-03</internalNodes>
-          <leafValues>
-            1.0930059850215912e-01 -5.2379939705133438e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1845 6.0138270258903503e-02</internalNodes>
-          <leafValues>
-            5.8138328604400158e-03 -1.7840869724750519e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1846 -2.4024039506912231e-02</internalNodes>
-          <leafValues>
-            1.8859949707984924e-01 -2.9658870771527290e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1847 -1.6334449872374535e-02</internalNodes>
-          <leafValues>
-            -1.3187359273433685e-01 2.2140020504593849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1848 4.8175701522268355e-05</internalNodes>
-          <leafValues>
-            -7.6274849474430084e-02 7.0715323090553284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1849 1.1565199820324779e-03</internalNodes>
-          <leafValues>
-            4.4213209301233292e-02 -1.1717999726533890e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1850 2.5506340898573399e-03</internalNodes>
-          <leafValues>
-            -3.0667930841445923e-02 1.8196919560432434e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1851 -6.5251272171735764e-03</internalNodes>
-          <leafValues>
-            -1.1443450301885605e-01 3.5183969885110855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1852 6.6153168678283691e-02</internalNodes>
-          <leafValues>
-            -2.7254449203610420e-02 1.9241680204868317e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1853 4.2829991434700787e-04</internalNodes>
-          <leafValues>
-            -6.3267558813095093e-02 8.3096623420715332e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1854 -2.9148950488888659e-05</internalNodes>
-          <leafValues>
-            5.9166900813579559e-02 -9.1467723250389099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1855 1.3398390365182422e-05</internalNodes>
-          <leafValues>
-            -6.2772221863269806e-02 7.6751098036766052e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1856 -3.1628899159841239e-04</internalNodes>
-          <leafValues>
-            1.0652689635753632e-01 -4.8427011817693710e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1857 4.7857520985417068e-04</internalNodes>
-          <leafValues>
-            3.1358771026134491e-02 -1.3498780131340027e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1858 5.3419070318341255e-03</internalNodes>
-          <leafValues>
-            -5.9767518192529678e-02 9.7649917006492615e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1859 -4.8007210716605186e-03</internalNodes>
-          <leafValues>
-            5.7684548199176788e-02 -3.3368781208992004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1860 -2.5623580440878868e-03</internalNodes>
-          <leafValues>
-            8.2448042929172516e-02 -6.7134477198123932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1861 -7.8163482248783112e-04</internalNodes>
-          <leafValues>
-            -1.3109140098094940e-01 2.2550739347934723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1862 -5.9796901041409001e-05</internalNodes>
-          <leafValues>
-            7.8017666935920715e-02 -7.2233237326145172e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1863 -1.4955470105633140e-03</internalNodes>
-          <leafValues>
-            -1.7849470674991608e-01 2.6512440294027328e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1864 -1.0731930285692215e-01</internalNodes>
-          <leafValues>
-            -5.5978351831436157e-01 7.9387873411178589e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1865 -1.1570350266993046e-02</internalNodes>
-          <leafValues>
-            3.2721909880638123e-01 -1.5334350056946278e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1866 1.2698080390691757e-03</internalNodes>
-          <leafValues>
-            -5.2673868834972382e-02 9.5417343080043793e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1867 -2.1792970073875040e-04</internalNodes>
-          <leafValues>
-            -6.7746378481388092e-02 3.5121351480484009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1868 2.7424149448052049e-04</internalNodes>
-          <leafValues>
-            -7.2451137006282806e-02 6.9099687039852142e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1869 -1.4675620150228497e-05</internalNodes>
-          <leafValues>
-            6.1696369200944901e-02 -6.3419573009014130e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1870 4.5412341132760048e-03</internalNodes>
-          <leafValues>
-            8.6941216140985489e-03 -5.6155169010162354e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1871 -1.7456309869885445e-03</internalNodes>
-          <leafValues>
-            1.2214440107345581e-01 -4.3239079415798187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1872 2.1515421103686094e-03</internalNodes>
-          <leafValues>
-            4.2700000107288361e-02 -1.3580679893493652e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1873 2.5772679597139359e-02</internalNodes>
-          <leafValues>
-            -6.7501049488782883e-03 2.0923960208892822e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1874 -2.2853460162878036e-02</internalNodes>
-          <leafValues>
-            -6.3482582569122314e-01 7.7631678432226181e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1875 1.0445450246334076e-01</internalNodes>
-          <leafValues>
-            8.2119172438979149e-03 -1.1739929765462875e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1876 3.4289199393242598e-03</internalNodes>
-          <leafValues>
-            -1.9393250346183777e-02 2.5361278653144836e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1877 -4.4450531277107075e-05</internalNodes>
-          <leafValues>
-            3.0491659417748451e-02 -3.3532731235027313e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1878 -1.3084859820082784e-03</internalNodes>
-          <leafValues>
-            -1.2543289363384247e-01 4.2175199836492538e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1879 -8.2920619752258062e-04</internalNodes>
-          <leafValues>
-            8.8702872395515442e-02 -5.9949461370706558e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1880 -1.1649610241875052e-03</internalNodes>
-          <leafValues>
-            -1.2260919809341431e-01 3.9777249097824097e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1881 -1.1792209697887301e-03</internalNodes>
-          <leafValues>
-            4.8803780227899551e-02 -3.1617261469364166e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1882 1.4045130228623748e-03</internalNodes>
-          <leafValues>
-            -6.8578563630580902e-02 1.0806819796562195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1883 8.1535786390304565e-02</internalNodes>
-          <leafValues>
-            7.5162621214985847e-03 -1.9914560019969940e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1884 1.3402649760246277e-01</internalNodes>
-          <leafValues>
-            1.1346439830958843e-02 -4.2387020587921143e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1885 5.1846381276845932e-02</internalNodes>
-          <leafValues>
-            -2.4805670604109764e-02 1.0611870139837265e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1886 2.2436599829234183e-04</internalNodes>
-          <leafValues>
-            4.9879040569067001e-02 -1.0322760045528412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1887 2.0504279434680939e-01</internalNodes>
-          <leafValues>
-            1.2941809836775064e-03 -7.3124569654464722e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1888 4.9221020191907883e-02</internalNodes>
-          <leafValues>
-            -3.2314330339431763e-02 1.6341570019721985e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1889 -2.7643840294331312e-03</internalNodes>
-          <leafValues>
-            -7.2709262371063232e-02 2.9063390567898750e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1890 1.7601479776203632e-03</internalNodes>
-          <leafValues>
-            7.0655502378940582e-02 -9.9655970931053162e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1891 -1.5338409692049026e-02</internalNodes>
-          <leafValues>
-            1.0849429666996002e-01 -6.5918280743062496e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1892 1.3629199936985970e-02</internalNodes>
-          <leafValues>
-            -3.1854670494794846e-02 1.7387719452381134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1893 -1.4116940292296931e-05</internalNodes>
-          <leafValues>
-            7.0969909429550171e-02 -7.6373629271984100e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1894 -1.5539459884166718e-02</internalNodes>
-          <leafValues>
-            -2.2922930121421814e-01 2.2228740155696869e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1895 9.2819044366478920e-03</internalNodes>
-          <leafValues>
-            -4.8776720650494099e-03 2.0902079343795776e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1896 -1.4155480130284559e-05</internalNodes>
-          <leafValues>
-            6.7757986485958099e-02 -7.2306759655475616e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1897 -8.7379867909476161e-04</internalNodes>
-          <leafValues>
-            -1.3424280285835266e-01 3.0613569542765617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1898 -1.0997530072927475e-02</internalNodes>
-          <leafValues>
-            3.0229330062866211e-01 -1.6519390046596527e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1899 6.6538681276142597e-03</internalNodes>
-          <leafValues>
-            6.3065579161047935e-03 -6.2725418806076050e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1900 -1.3275049859657884e-03</internalNodes>
-          <leafValues>
-            -1.7980930209159851e-01 2.7482420206069946e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1901 -9.1509369667619467e-04</internalNodes>
-          <leafValues>
-            8.2379557192325592e-02 -4.4698160141706467e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1902 3.7874261033721268e-04</internalNodes>
-          <leafValues>
-            3.9099998772144318e-02 -1.2113759666681290e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1903 3.1279059476219118e-04</internalNodes>
-          <leafValues>
-            -4.0467869490385056e-02 8.0922096967697144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1904 -4.4098051148466766e-04</internalNodes>
-          <leafValues>
-            -1.3570870459079742e-01 3.4640021622180939e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1905 -2.3545681033283472e-03</internalNodes>
-          <leafValues>
-            1.8316949903964996e-01 -6.5944390371441841e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1906 -1.4042760085430928e-05</internalNodes>
-          <leafValues>
-            7.1066640317440033e-02 -7.2712719440460205e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1907 -3.4967949613928795e-03</internalNodes>
-          <leafValues>
-            2.8079178929328918e-01 -2.0121440291404724e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1908 3.8677681004628539e-05</internalNodes>
-          <leafValues>
-            -7.7483072876930237e-02 6.1632208526134491e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1909 4.0409551002085209e-03</internalNodes>
-          <leafValues>
-            -2.8791289776563644e-02 1.0144700109958649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1910 4.3885988998226821e-04</internalNodes>
-          <leafValues>
-            4.4285491108894348e-02 -1.0667510330677032e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1911 2.8847819194197655e-03</internalNodes>
-          <leafValues>
-            -3.0110429972410202e-02 1.9770030677318573e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1912 -3.6182960029691458e-03</internalNodes>
-          <leafValues>
-            -1.5853509306907654e-01 3.1248699873685837e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1913 -7.4127241969108582e-02</internalNodes>
-          <leafValues>
-            2.6847139000892639e-01 -7.5118849053978920e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1914 -1.7701960168778896e-03</internalNodes>
-          <leafValues>
-            7.0348329842090607e-02 -7.6661907136440277e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1915 -2.2964610159397125e-01</internalNodes>
-          <leafValues>
-            -1.7674639821052551e-01 2.6304980739951134e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1916 -8.4374961443245411e-04</internalNodes>
-          <leafValues>
-            1.2280090153217316e-01 -3.9470311254262924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1917 6.2283687293529510e-04</internalNodes>
-          <leafValues>
-            -5.9402100741863251e-02 1.0227580368518829e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1918 3.7774170050397515e-04</internalNodes>
-          <leafValues>
-            -6.5731868147850037e-02 9.4461776316165924e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1919 -9.1600026935338974e-03</internalNodes>
-          <leafValues>
-            -2.3604519665241241e-01 8.3174835890531540e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1920 -3.9922599680721760e-03</internalNodes>
-          <leafValues>
-            -1.6145500540733337e-01 3.2346289604902267e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1921 -3.3894251100718975e-03</internalNodes>
-          <leafValues>
-            2.5536310672760010e-01 -1.6282750293612480e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1922 2.0170630887150764e-03</internalNodes>
-          <leafValues>
-            -3.3730961382389069e-02 1.4327409863471985e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1923 6.0314318398013711e-04</internalNodes>
-          <leafValues>
-            2.0838299766182899e-02 -8.0766737461090088e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1924 -3.5625399323180318e-04</internalNodes>
-          <leafValues>
-            -1.1648300290107727e-01 4.1728250682353973e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1925 -2.3485629935748875e-04</internalNodes>
-          <leafValues>
-            5.0236988812685013e-02 -3.5763539373874664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1926 4.1733398102223873e-03</internalNodes>
-          <leafValues>
-            6.2450668774545193e-03 -7.5315088033676147e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1927 -1.5104680322110653e-02</internalNodes>
-          <leafValues>
-            -3.7117061018943787e-01 3.5868769045919180e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1928 -3.3432588679715991e-04</internalNodes>
-          <leafValues>
-            7.3129981756210327e-02 -6.3462227582931519e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1929 9.2645268887281418e-04</internalNodes>
-          <leafValues>
-            -2.8360379859805107e-02 8.1202872097492218e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1930 -1.6456949524581432e-03</internalNodes>
-          <leafValues>
-            -1.4563870429992676e-01 3.3951658755540848e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1931 -1.2158240424469113e-03</internalNodes>
-          <leafValues>
-            4.5882221311330795e-02 -5.7257469743490219e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1932 4.9246400594711304e-03</internalNodes>
-          <leafValues>
-            -4.3981380760669708e-02 1.1510019749403000e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1933 -6.6806487739086151e-03</internalNodes>
-          <leafValues>
-            7.1484349668025970e-02 -7.7606171369552612e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1934 -4.2396718636155128e-03</internalNodes>
-          <leafValues>
-            1.2487599998712540e-01 -4.1228380054235458e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1935 5.9024091809988022e-02</internalNodes>
-          <leafValues>
-            8.7620420381426811e-03 -2.3974700272083282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1936 -8.4677420090883970e-04</internalNodes>
-          <leafValues>
-            -1.6061230003833771e-01 2.9858700931072235e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1937 3.0823849374428391e-04</internalNodes>
-          <leafValues>
-            -4.2748618870973587e-02 6.5159931778907776e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1938 -1.5910139773041010e-03</internalNodes>
-          <leafValues>
-            1.0174900293350220e-01 -5.2041478455066681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1939 6.5938353538513184e-02</internalNodes>
-          <leafValues>
-            -8.7185706943273544e-03 1.2778709828853607e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1940 6.9909919984638691e-03</internalNodes>
-          <leafValues>
-            2.1958060562610626e-02 -2.2432990372180939e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1941 -3.7245001643896103e-02</internalNodes>
-          <leafValues>
-            1.0239789634943008e-01 -1.2216970324516296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1942 -7.1809038519859314e-02</internalNodes>
-          <leafValues>
-            -1.4630299806594849e-01 3.5678751766681671e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1943 1.2186600361019373e-03</internalNodes>
-          <leafValues>
-            -3.0746009200811386e-02 9.0086430311203003e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1944 -1.4185549844114576e-05</internalNodes>
-          <leafValues>
-            7.2184130549430847e-02 -8.0784916877746582e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1945 -4.7359269112348557e-02</internalNodes>
-          <leafValues>
-            -5.1488220691680908e-02 8.3303246647119522e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1946 -9.9122747778892517e-02</internalNodes>
-          <leafValues>
-            7.4836689233779907e-01 -7.0312391035258770e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1947 6.5616220235824585e-03</internalNodes>
-          <leafValues>
-            2.9704109765589237e-03 -8.6616927385330200e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1948 1.4554029803548474e-05</internalNodes>
-          <leafValues>
-            -6.6417336463928223e-02 6.9943219423294067e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1949 -1.4783379810978658e-05</internalNodes>
-          <leafValues>
-            4.8168119043111801e-02 -4.5541871339082718e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1950 3.4434479312039912e-04</internalNodes>
-          <leafValues>
-            3.9564359933137894e-02 -1.3817049562931061e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1951 -1.5220089815557003e-02</internalNodes>
-          <leafValues>
-            5.6425478309392929e-02 -3.1832590699195862e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1952 -9.9003070499747992e-04</internalNodes>
-          <leafValues>
-            8.4525726735591888e-02 -6.0871038585901260e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1953 5.0106819253414869e-04</internalNodes>
-          <leafValues>
-            -7.4269689619541168e-02 7.5144886970520020e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1954 2.1565580368041992e-01</internalNodes>
-          <leafValues>
-            1.3532330282032490e-02 -3.6944881081581116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1955 4.6514578163623810e-02</internalNodes>
-          <leafValues>
-            -3.2852739095687866e-02 7.5578376650810242e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1956 -3.3291958272457123e-02</internalNodes>
-          <leafValues>
-            9.8225638270378113e-02 -8.4359258413314819e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1957 -3.7740701436996460e-01</internalNodes>
-          <leafValues>
-            -4.0594369173049927e-01 6.7579401656985283e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1958 1.3958640396595001e-02</internalNodes>
-          <leafValues>
-            1.4477419666945934e-02 -3.5323330760002136e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1959 -1.0354929603636265e-02</internalNodes>
-          <leafValues>
-            4.9957130104303360e-02 -3.3316690474748611e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1960 -3.5259810090065002e-01</internalNodes>
-          <leafValues>
-            -8.8354581594467163e-01 5.2982778288424015e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1961 -2.5497689843177795e-02</internalNodes>
-          <leafValues>
-            -5.0059622526168823e-01 3.3401530236005783e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1962 -1.3579069636762142e-02</internalNodes>
-          <leafValues>
-            -7.9210782051086426e-01 5.2573881112039089e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1963 -6.4325397834181786e-03</internalNodes>
-          <leafValues>
-            2.2479079663753510e-01 -1.2490210123360157e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1964 1.7743050120770931e-03</internalNodes>
-          <leafValues>
-            3.6416389048099518e-02 -1.2674359977245331e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1965 -2.8727769386023283e-03</internalNodes>
-          <leafValues>
-            2.6288139820098877e-01 -1.4163469895720482e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1966 9.7850046586245298e-05</internalNodes>
-          <leafValues>
-            -6.3954651355743408e-02 8.0631032586097717e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1967 1.7374150454998016e-02</internalNodes>
-          <leafValues>
-            2.8990509454160929e-03 -4.2226800322532654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1968 -1.4066740404814482e-03</internalNodes>
-          <leafValues>
-            1.0372389853000641e-01 -4.6474151313304901e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1969 -1.6724130138754845e-02</internalNodes>
-          <leafValues>
-            -2.8448548913002014e-01 9.2373117804527283e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1970 -1.0558520443737507e-02</internalNodes>
-          <leafValues>
-            -1.0547369718551636e-01 5.2889660000801086e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1971 1.5293300151824951e-01</internalNodes>
-          <leafValues>
-            3.2300320453941822e-03 -4.7545519471168518e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1972 7.7029820531606674e-03</internalNodes>
-          <leafValues>
-            -6.0984298586845398e-02 8.6567848920822144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1973 1.4633269980549812e-02</internalNodes>
-          <leafValues>
-            -1.7254069447517395e-02 7.3769517242908478e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1974 -5.9058261103928089e-03</internalNodes>
-          <leafValues>
-            1.0765349864959717e-01 -5.8216858655214310e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1975 -8.6052267579361796e-04</internalNodes>
-          <leafValues>
-            -2.4705569446086884e-01 3.9832849055528641e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1976 1.3982819837110583e-05</internalNodes>
-          <leafValues>
-            -6.8481527268886566e-02 7.2419390082359314e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>292</maxWeakCount>
-      <stageThreshold>-8.8979828357696533e-01</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 1977 -2.2767020389437675e-02</internalNodes>
-          <leafValues>
-            3.7855881452560425e-01 -7.4579752981662750e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1978 1.3848500326275826e-02</internalNodes>
-          <leafValues>
-            -3.8395948708057404e-02 1.5865300595760345e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1979 1.6501640900969505e-02</internalNodes>
-          <leafValues>
-            -4.0356989949941635e-02 3.1940919160842896e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1980 4.9945950508117676e-02</internalNodes>
-          <leafValues>
-            1.3500959612429142e-03 -7.1901618957519531e+01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1981 2.3085280554369092e-04</internalNodes>
-          <leafValues>
-            -1.5948350727558136e-01 6.2301728874444962e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1982 -3.2616918906569481e-04</internalNodes>
-          <leafValues>
-            1.1485809832811356e-01 -8.2625932991504669e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1983 2.0700939930975437e-03</internalNodes>
-          <leafValues>
-            9.9244236946105957e-02 -1.8762749433517456e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1984 3.6466990131884813e-03</internalNodes>
-          <leafValues>
-            -5.9486821293830872e-02 2.3915329948067665e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1985 4.3258240818977356e-01</internalNodes>
-          <leafValues>
-            -3.5108299925923347e-03 -8.8022760009765625e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1986 -1.5135499835014343e-01</internalNodes>
-          <leafValues>
-            2.1386210620403290e-01 -3.7147529423236847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1987 1.4268080121837556e-05</internalNodes>
-          <leafValues>
-            -7.8762777149677277e-02 1.1088649928569794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1988 4.5837109792046249e-04</internalNodes>
-          <leafValues>
-            3.1337808817625046e-02 -1.2781299650669098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1989 8.5760722868144512e-04</internalNodes>
-          <leafValues>
-            -1.1430999636650085e-01 8.4779530763626099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1990 -1.3306170003488660e-03</internalNodes>
-          <leafValues>
-            1.2380199879407883e-01 -6.3108362257480621e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1991 -7.8581267734989524e-04</internalNodes>
-          <leafValues>
-            1.4474479854106903e-01 -6.6131599247455597e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1992 2.9203219339251518e-02</internalNodes>
-          <leafValues>
-            1.5835119411349297e-02 -2.7886340022087097e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1993 -3.3595840795896947e-04</internalNodes>
-          <leafValues>
-            -1.3980509340763092e-01 5.2156690508127213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1994 -4.9088441301137209e-04</internalNodes>
-          <leafValues>
-            -1.6182370483875275e-01 5.2929759025573730e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1995 -1.0883460193872452e-01</internalNodes>
-          <leafValues>
-            2.0574440062046051e-01 -4.0060799568891525e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1996 -3.5458389669656754e-02</internalNodes>
-          <leafValues>
-            1.0138759762048721e-01 -8.3750143647193909e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1997 8.7126181460916996e-04</internalNodes>
-          <leafValues>
-            4.4440608471632004e-02 -1.9689509272575378e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1998 -1.3993269763886929e-02</internalNodes>
-          <leafValues>
-            -2.2459620237350464e-01 1.2766630388796329e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 1999 -2.2845380008220673e-03</internalNodes>
-          <leafValues>
-            7.6802432537078857e-02 -9.2134661972522736e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2000 -1.0183329693973064e-02</internalNodes>
-          <leafValues>
-            1.1236850172281265e-01 -5.3973980247974396e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2001 3.5436619073152542e-03</internalNodes>
-          <leafValues>
-            4.4633179903030396e-02 -1.4774739742279053e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2002 2.3777359456289560e-04</internalNodes>
-          <leafValues>
-            -8.6299903690814972e-02 5.5821128189563751e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2003 1.0005419608205557e-03</internalNodes>
-          <leafValues>
-            -3.9257239550352097e-02 1.5329119563102722e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2004 6.4915331313386559e-04</internalNodes>
-          <leafValues>
-            -4.9939561635255814e-02 7.5440049171447754e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2005 -7.5847338885068893e-03</internalNodes>
-          <leafValues>
-            -2.4265210330486298e-01 2.5270320475101471e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2006 -1.5712540596723557e-02</internalNodes>
-          <leafValues>
-            1.7297010123729706e-01 -3.9057541638612747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2007 -3.9321780204772949e-01</internalNodes>
-          <leafValues>
-            -2.5074109435081482e-01 3.5513188689947128e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2008 6.4803091809153557e-03</internalNodes>
-          <leafValues>
-            3.5816188901662827e-02 -1.5493710339069366e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2009 -3.6928490735590458e-03</internalNodes>
-          <leafValues>
-            6.6010497510433197e-02 -9.1977387666702271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2010 4.0171178989112377e-04</internalNodes>
-          <leafValues>
-            -5.3731810301542282e-02 6.2330979853868484e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2011 -1.0566849960014224e-03</internalNodes>
-          <leafValues>
-            2.4069379270076752e-01 -3.8379501551389694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2012 -6.2974360771477222e-03</internalNodes>
-          <leafValues>
-            -5.5077511072158813e-01 1.1444900184869766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2013 -2.2626901045441628e-03</internalNodes>
-          <leafValues>
-            -3.0054908990859985e-01 1.9966229796409607e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2014 4.4639740372076631e-04</internalNodes>
-          <leafValues>
-            -9.2869967222213745e-02 1.1919409781694412e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2015 1.2323829287197441e-04</internalNodes>
-          <leafValues>
-            -8.0585919320583344e-02 9.6582867205142975e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2016 -4.2977688281098381e-05</internalNodes>
-          <leafValues>
-            5.6325040757656097e-02 -6.1825469136238098e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2017 -1.3477250467985868e-03</internalNodes>
-          <leafValues>
-            -1.2008170038461685e-01 5.5916771292686462e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2018 4.2214780114591122e-04</internalNodes>
-          <leafValues>
-            -8.4175691008567810e-02 9.9671080708503723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2019 2.8857209254056215e-03</internalNodes>
-          <leafValues>
-            6.5345473587512970e-02 -1.0931260138750076e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2020 3.0309830326586962e-03</internalNodes>
-          <leafValues>
-            -2.5247409939765930e-02 1.9884890317916870e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2021 -5.3361342288553715e-03</internalNodes>
-          <leafValues>
-            1.0040310025215149e-01 -5.8072179555892944e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2022 -3.8242610171437263e-03</internalNodes>
-          <leafValues>
-            1.5898209810256958e-01 -4.2140848934650421e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2023 -1.7378249904140830e-03</internalNodes>
-          <leafValues>
-            -1.3454620540142059e-01 5.5477790534496307e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2024 -1.0192190296947956e-02</internalNodes>
-          <leafValues>
-            1.2067530304193497e-01 -5.3306579589843750e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2025 -7.0896078832447529e-03</internalNodes>
-          <leafValues>
-            -1.5418629348278046e-01 4.4162388890981674e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2026 -2.4648339021950960e-03</internalNodes>
-          <leafValues>
-            1.7080619931221008e-01 -2.7274850755929947e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2027 -6.4241851214319468e-04</internalNodes>
-          <leafValues>
-            -1.5442839264869690e-01 4.0064170956611633e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2028 6.6317862365394831e-04</internalNodes>
-          <leafValues>
-            -3.0377250164747238e-02 5.6270759552717209e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2029 -8.2941073924303055e-03</internalNodes>
-          <leafValues>
-            -4.1811838746070862e-01 1.3492629863321781e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2030 -3.6951078800484538e-04</internalNodes>
-          <leafValues>
-            4.8480831086635590e-02 -3.3837471157312393e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2031 1.3221809640526772e-03</internalNodes>
-          <leafValues>
-            -4.2906221002340317e-02 1.2838859856128693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2032 -1.2671080185100436e-03</internalNodes>
-          <leafValues>
-            -1.1043450236320496e-01 2.5441320613026619e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2033 2.4836331140249968e-03</internalNodes>
-          <leafValues>
-            3.4706719219684601e-02 -1.8949089944362640e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2034 -6.2526516616344452e-02</internalNodes>
-          <leafValues>
-            -5.9004527330398560e-01 2.7786649297922850e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2035 -1.4897409826517105e-02</internalNodes>
-          <leafValues>
-            1.8752850592136383e-01 -3.3959109336137772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2036 -1.2002790346741676e-02</internalNodes>
-          <leafValues>
-            -2.8914290666580200e-01 7.3392977938055992e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2037 3.1435370910912752e-03</internalNodes>
-          <leafValues>
-            4.4084388762712479e-02 -1.5315219759941101e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2038 -2.4036609102040529e-03</internalNodes>
-          <leafValues>
-            1.1861529946327209e-01 -2.7313409373164177e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2039 -3.5791810601949692e-02</internalNodes>
-          <leafValues>
-            1.6680610179901123e-01 -3.5469651222229004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2040 5.7867588475346565e-03</internalNodes>
-          <leafValues>
-            2.2431949153542519e-02 -8.4338746964931488e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2041 -2.6954410132020712e-03</internalNodes>
-          <leafValues>
-            -3.4904921054840088e-01 1.4700699597597122e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2042 6.2262167921289802e-04</internalNodes>
-          <leafValues>
-            -4.2427390813827515e-02 1.0650890320539474e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2043 -8.7842030916363001e-04</internalNodes>
-          <leafValues>
-            1.3310040533542633e-01 -4.1842449456453323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2044 -2.0373899023979902e-03</internalNodes>
-          <leafValues>
-            -2.3306299746036530e-01 1.7812909558415413e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2045 1.3666530139744282e-03</internalNodes>
-          <leafValues>
-            2.5180319324135780e-02 -2.1236039698123932e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2046 -1.3152270112186670e-03</internalNodes>
-          <leafValues>
-            1.9212719798088074e-01 -4.6617131680250168e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2047 1.9801879301667213e-02</internalNodes>
-          <leafValues>
-            1.4901800081133842e-02 -3.5319229960441589e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2048 3.1510000117123127e-03</internalNodes>
-          <leafValues>
-            -1.2941169552505016e-02 1.4735250174999237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2049 3.5291429609060287e-02</internalNodes>
-          <leafValues>
-            7.3530990630388260e-03 -7.1556198596954346e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2050 -2.8649759769905359e-05</internalNodes>
-          <leafValues>
-            3.4785639494657516e-02 -3.3928319811820984e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2051 1.2113710399717093e-03</internalNodes>
-          <leafValues>
-            -3.5517819225788116e-02 1.3941350579261780e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2052 -1.8620840273797512e-03</internalNodes>
-          <leafValues>
-            -1.3029609620571136e-01 2.4534810334444046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2053 -2.7619469910860062e-02</internalNodes>
-          <leafValues>
-            1.4360269904136658e-01 -3.4316640347242355e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2054 5.0724758766591549e-03</internalNodes>
-          <leafValues>
-            2.0405089482665062e-02 -6.9412447512149811e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2055 1.0903120040893555e-02</internalNodes>
-          <leafValues>
-            5.0989679992198944e-02 -1.1491060256958008e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2056 -2.7553900144994259e-03</internalNodes>
-          <leafValues>
-            1.9678440690040588e-01 -1.2697969563305378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2057 -1.8694249447435141e-03</internalNodes>
-          <leafValues>
-            -2.9915121197700500e-01 1.6838220879435539e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2058 1.5511639649048448e-03</internalNodes>
-          <leafValues>
-            2.4750430136919022e-02 -1.0845399647951126e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2059 -1.4158929698169231e-02</internalNodes>
-          <leafValues>
-            1.2197340279817581e-01 -4.1165851056575775e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2060 -1.2717859819531441e-02</internalNodes>
-          <leafValues>
-            -4.3909710645675659e-01 7.9397717490792274e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2061 -1.6385139897465706e-03</internalNodes>
-          <leafValues>
-            -1.6575939953327179e-01 3.1098280102014542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2062 3.5357510205358267e-04</internalNodes>
-          <leafValues>
-            -3.6188390105962753e-02 6.4537517726421356e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2063 -1.3709410559386015e-03</internalNodes>
-          <leafValues>
-            1.9694100320339203e-01 -3.0401369556784630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2064 1.2311729602515697e-02</internalNodes>
-          <leafValues>
-            9.1771297156810760e-03 -1.3160559535026550e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2065 1.8457289552316070e-03</internalNodes>
-          <leafValues>
-            3.0837250873446465e-02 -1.6602100431919098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2066 -1.5473379753530025e-02</internalNodes>
-          <leafValues>
-            2.5880289077758789e-01 -2.2011399269104004e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2067 -2.1259100176393986e-03</internalNodes>
-          <leafValues>
-            -1.0968039929866791e-01 4.7188289463520050e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2068 -3.1477488577365875e-02</internalNodes>
-          <leafValues>
-            8.7950423359870911e-02 -2.9075659811496735e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2069 8.3510661497712135e-03</internalNodes>
-          <leafValues>
-            -5.7418391108512878e-02 1.2259429693222046e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2070 -1.5261439839377999e-03</internalNodes>
-          <leafValues>
-            5.1226388663053513e-02 -5.6588850915431976e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2071 -4.0471060201525688e-03</internalNodes>
-          <leafValues>
-            -7.3753368854522705e-01 6.5819500014185905e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2072 2.3618470877408981e-03</internalNodes>
-          <leafValues>
-            -5.8076798915863037e-02 9.7385376691818237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2073 -5.0288718193769455e-03</internalNodes>
-          <leafValues>
-            -4.0696510672569275e-01 1.2450199574232101e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2074 -4.5899039832875133e-04</internalNodes>
-          <leafValues>
-            -1.1976789683103561e-01 3.0493760481476784e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2075 -7.6553300023078918e-03</internalNodes>
-          <leafValues>
-            3.2797640562057495e-01 -1.4679649844765663e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2076 3.1651180237531662e-02</internalNodes>
-          <leafValues>
-            9.8373405635356903e-03 -9.9427476525306702e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2077 -4.2005829163827002e-04</internalNodes>
-          <leafValues>
-            6.9475196301937103e-02 -6.6317923367023468e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2078 -4.3475469574332237e-03</internalNodes>
-          <leafValues>
-            -9.2239603400230408e-02 3.7397488951683044e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2079 3.5791029222309589e-03</internalNodes>
-          <leafValues>
-            -1.9854990765452385e-02 2.4084280431270599e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2080 -1.0942749679088593e-02</internalNodes>
-          <leafValues>
-            2.6542368531227112e-01 -1.2423070147633553e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2081 3.8771289400756359e-03</internalNodes>
-          <leafValues>
-            -5.7885479182004929e-02 1.0133259743452072e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2082 5.1080808043479919e-03</internalNodes>
-          <leafValues>
-            4.0216930210590363e-03 -8.9897549152374268e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2083 4.7296998673118651e-04</internalNodes>
-          <leafValues>
-            3.9465188980102539e-02 -1.3236129283905029e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2084 -8.7365293875336647e-03</internalNodes>
-          <leafValues>
-            -8.5640531778335571e-01 6.3242338364943862e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2085 -2.3332149721682072e-03</internalNodes>
-          <leafValues>
-            -3.0867880582809448e-01 1.7711369320750237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2086 9.1973934322595596e-03</internalNodes>
-          <leafValues>
-            1.2881910428404808e-02 -2.7063271403312683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2087 -9.0592764317989349e-03</internalNodes>
-          <leafValues>
-            3.7111261487007141e-01 -1.5435660257935524e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2088 -6.8536121398210526e-03</internalNodes>
-          <leafValues>
-            -2.3248560726642609e-01 1.4396419748663902e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2089 3.2640730496495962e-03</internalNodes>
-          <leafValues>
-            -1.6830140724778175e-02 2.8828591108322144e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2090 8.4918318316340446e-04</internalNodes>
-          <leafValues>
-            2.8029309585690498e-02 -1.9904230535030365e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2091 -2.1864029113203287e-03</internalNodes>
-          <leafValues>
-            2.0627869665622711e-01 -2.2290140390396118e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2092 -4.4997650547884405e-04</internalNodes>
-          <leafValues>
-            -1.5903109312057495e-01 4.2944360524415970e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2093 2.9121869374648668e-05</internalNodes>
-          <leafValues>
-            -6.5282016992568970e-02 7.1159698069095612e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2094 4.3467659503221512e-02</internalNodes>
-          <leafValues>
-            -1.6959929838776588e-02 1.0998240113258362e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2095 -1.1365989921614528e-03</internalNodes>
-          <leafValues>
-            -2.2058859467506409e-01 2.3035509511828423e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2096 -1.8206920474767685e-02</internalNodes>
-          <leafValues>
-            -2.9789340496063232e-01 9.9594965577125549e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2097 6.6835589706897736e-02</internalNodes>
-          <leafValues>
-            -1.8957259133458138e-02 3.0663791298866272e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2098 -1.4330899830383714e-05</internalNodes>
-          <leafValues>
-            5.7081911712884903e-02 -6.5903536975383759e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2099 1.4206670457497239e-03</internalNodes>
-          <leafValues>
-            -3.8737241178750992e-02 1.2876810133457184e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2100 2.7356849750503898e-04</internalNodes>
-          <leafValues>
-            -7.6959587633609772e-02 5.7561419904232025e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2101 -4.3629730498651043e-05</internalNodes>
-          <leafValues>
-            6.8417556583881378e-02 -7.2743088006973267e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2102 2.2442260757088661e-02</internalNodes>
-          <leafValues>
-            1.2906930409371853e-02 -2.7765989303588867e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2103 -9.5062162727117538e-03</internalNodes>
-          <leafValues>
-            2.2520409524440765e-01 -2.2552950307726860e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2104 1.2153879739344120e-02</internalNodes>
-          <leafValues>
-            1.4640049776062369e-03 -8.2713627815246582e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2105 -3.8760809693485498e-03</internalNodes>
-          <leafValues>
-            -3.0009371042251587e-01 1.5818350017070770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2106 1.8056180328130722e-02</internalNodes>
-          <leafValues>
-            -2.7300639078021049e-02 1.1843930184841156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2107 -1.0198189876973629e-02</internalNodes>
-          <leafValues>
-            -4.6742329001426697e-01 1.1439249850809574e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2108 -1.8736829515546560e-03</internalNodes>
-          <leafValues>
-            6.1713431030511856e-02 -5.4324761033058167e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2109 -1.4160489627101924e-05</internalNodes>
-          <leafValues>
-            6.5854422748088837e-02 -7.1403980255126953e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2110 -7.5924489647150040e-04</internalNodes>
-          <leafValues>
-            -7.3370590806007385e-02 1.5395210124552250e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2111 1.9678730517625809e-02</internalNodes>
-          <leafValues>
-            -1.7670389264822006e-02 2.6263308525085449e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2112 -1.7821189761161804e-01</internalNodes>
-          <leafValues>
-            -5.2703332901000977e-01 9.4334492459893227e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2113 1.4515940165438224e-05</internalNodes>
-          <leafValues>
-            -6.4707919955253601e-02 6.9548860192298889e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2114 -1.4563810545951128e-03</internalNodes>
-          <leafValues>
-            4.2549580335617065e-02 -3.3000539988279343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2115 2.1180020645260811e-02</internalNodes>
-          <leafValues>
-            2.6962980628013611e-02 -1.7822809517383575e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2116 7.7891332330182195e-04</internalNodes>
-          <leafValues>
-            -5.7932410389184952e-02 7.7026076614856720e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2117 -3.8158979732543230e-03</internalNodes>
-          <leafValues>
-            9.7226321697235107e-02 -5.2060168236494064e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2118 7.4426521314308047e-04</internalNodes>
-          <leafValues>
-            1.9151100888848305e-02 -9.7902022302150726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2119 -6.9776270538568497e-03</internalNodes>
-          <leafValues>
-            1.1507830023765564e-01 -4.7722190618515015e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2120 1.4204400031303521e-05</internalNodes>
-          <leafValues>
-            -4.1490320116281509e-02 4.9247849732637405e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2121 -5.6304200552403927e-04</internalNodes>
-          <leafValues>
-            -1.4389720559120178e-01 3.6801539361476898e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2122 2.6648829225450754e-03</internalNodes>
-          <leafValues>
-            -6.0111761093139648e-02 9.3297347426414490e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2123 -8.8225618004798889e-02</internalNodes>
-          <leafValues>
-            -1.7006370425224304e-01 2.9528470709919930e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2124 -8.7953936308622360e-03</internalNodes>
-          <leafValues>
-            -5.8269548416137695e-01 1.8716199556365609e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2125 -1.1649719672277570e-03</internalNodes>
-          <leafValues>
-            1.2489689886569977e-01 -4.3457120656967163e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2126 1.3699769624508917e-05</internalNodes>
-          <leafValues>
-            -4.2961910367012024e-02 4.4930510222911835e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2127 2.8596229385584593e-03</internalNodes>
-          <leafValues>
-            1.4335130341351032e-02 -3.0572828650474548e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2128 -2.2674720734357834e-02</internalNodes>
-          <leafValues>
-            4.0617591142654419e-01 -1.0855849832296371e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2129 -9.9256280809640884e-03</internalNodes>
-          <leafValues>
-            2.7254319190979004e-01 -1.6158660873770714e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2130 5.9502501040697098e-02</internalNodes>
-          <leafValues>
-            4.5848288573324680e-03 -7.3743087053298950e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2131 5.1061160862445831e-02</internalNodes>
-          <leafValues>
-            5.0964308902621269e-03 -7.6984941959381104e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2132 -1.2472540140151978e-02</internalNodes>
-          <leafValues>
-            8.4497779607772827e-02 -3.3125039190053940e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2133 1.4897279907017946e-03</internalNodes>
-          <leafValues>
-            3.6912161856889725e-02 -1.3818310201168060e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2134 -2.2147510200738907e-02</internalNodes>
-          <leafValues>
-            -1.6144229471683502e-01 9.0466598048806190e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2135 9.4495322555303574e-03</internalNodes>
-          <leafValues>
-            4.6972200274467468e-02 -1.0716339945793152e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2136 1.9293139921501279e-03</internalNodes>
-          <leafValues>
-            -3.4286331385374069e-02 5.2777741104364395e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2137 -3.8894641399383545e-01</internalNodes>
-          <leafValues>
-            -7.6786720752716064e-01 5.8184252120554447e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2138 2.2508520632982254e-02</internalNodes>
-          <leafValues>
-            -1.1624289676547050e-02 8.8422507047653198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2139 -2.2605659440159798e-02</internalNodes>
-          <leafValues>
-            2.4461190402507782e-01 -1.7740579321980476e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2140 -1.1666050180792809e-02</internalNodes>
-          <leafValues>
-            -2.5602799654006958e-01 1.1454549618065357e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2141 -2.0710580050945282e-02</internalNodes>
-          <leafValues>
-            -5.5883651971817017e-01 7.5737191364169121e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2142 7.8827500343322754e-02</internalNodes>
-          <leafValues>
-            3.9148649193521123e-06 -7.5623649358749390e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2143 2.3726599290966988e-02</internalNodes>
-          <leafValues>
-            -2.3146500810980797e-02 1.9937509298324585e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2144 1.2368409661576152e-03</internalNodes>
-          <leafValues>
-            3.8288921117782593e-02 -1.2177640199661255e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2145 -1.4358550288307015e-05</internalNodes>
-          <leafValues>
-            6.0658939182758331e-02 -7.3654122650623322e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2146 8.7936148047447205e-03</internalNodes>
-          <leafValues>
-            -3.3896610140800476e-02 9.5205701887607574e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2147 -2.3806949320714921e-04</internalNodes>
-          <leafValues>
-            -9.9966533482074738e-02 4.5478440821170807e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2148 -8.3054965361952782e-03</internalNodes>
-          <leafValues>
-            1.3420370221138000e-01 -2.5543849915266037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2149 8.1005110405385494e-04</internalNodes>
-          <leafValues>
-            4.0490619838237762e-02 -1.1215209960937500e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2150 -1.7238059639930725e-01</internalNodes>
-          <leafValues>
-            -5.0442242622375488e-01 8.9577194303274155e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2151 2.9706210625590757e-05</internalNodes>
-          <leafValues>
-            -7.0957981050014496e-02 6.3416786491870880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2152 -3.5412028431892395e-02</internalNodes>
-          <leafValues>
-            -1.7485639452934265e-01 9.6797533333301544e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2153 8.2069952040910721e-03</internalNodes>
-          <leafValues>
-            -2.8969779610633850e-02 1.6151989996433258e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2154 -4.4735260307788849e-03</internalNodes>
-          <leafValues>
-            -4.4660449028015137e-01 1.0111720301210880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2155 4.2432491318322718e-04</internalNodes>
-          <leafValues>
-            -4.5450739562511444e-02 9.8722547292709351e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2156 -9.3795463442802429e-02</internalNodes>
-          <leafValues>
-            4.7356921434402466e-01 -5.7168500497937202e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2157 -6.3939332903828472e-05</internalNodes>
-          <leafValues>
-            -1.0030250251293182e-01 5.6099571287631989e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2158 -5.1775861531496048e-02</internalNodes>
-          <leafValues>
-            -8.5062891244888306e-01 2.1091110538691282e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2159 2.3427829146385193e-03</internalNodes>
-          <leafValues>
-            -6.0702718794345856e-02 8.7300397455692291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2160 -5.5683478713035583e-02</internalNodes>
-          <leafValues>
-            -3.6283439397811890e-01 6.0013919137418270e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2161 1.9656179472804070e-02</internalNodes>
-          <leafValues>
-            -1.5454960055649281e-02 2.9359608888626099e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2162 -5.2067539654672146e-03</internalNodes>
-          <leafValues>
-            -1.4107729494571686e-01 9.3313539400696754e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2163 -8.1932216882705688e-02</internalNodes>
-          <leafValues>
-            -7.0356172323226929e-01 6.1017181724309921e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2164 -1.0771179944276810e-01</internalNodes>
-          <leafValues>
-            1.2234950065612793e-01 -2.7294529601931572e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2165 -4.4263739138841629e-02</internalNodes>
-          <leafValues>
-            -4.6973970532417297e-01 1.1172570288181305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2166 -1.1734849773347378e-02</internalNodes>
-          <leafValues>
-            7.9907633364200592e-02 -3.9245810359716415e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2167 -4.9447570927441120e-03</internalNodes>
-          <leafValues>
-            -1.4253869652748108e-01 3.6019299179315567e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2168 -1.2758700177073479e-02</internalNodes>
-          <leafValues>
-            2.1074560284614563e-01 -2.7008490636944771e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2169 -2.4229190312325954e-03</internalNodes>
-          <leafValues>
-            -1.7348369956016541e-01 2.7011310681700706e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2170 1.2762489728629589e-02</internalNodes>
-          <leafValues>
-            -4.0995080024003983e-02 1.0026659816503525e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2171 -1.9846750423312187e-02</internalNodes>
-          <leafValues>
-            -1.7189559340476990e-01 2.7843099087476730e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2172 -9.6252951771020889e-03</internalNodes>
-          <leafValues>
-            7.5235731899738312e-02 -6.2477041035890579e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2173 1.4421059750020504e-02</internalNodes>
-          <leafValues>
-            -4.4746961444616318e-02 1.2761180102825165e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2174 -1.7601229250431061e-02</internalNodes>
-          <leafValues>
-            -1.8411770462989807e-01 7.5616179965436459e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2175 2.6960249524563551e-03</internalNodes>
-          <leafValues>
-            5.1309641450643539e-02 -9.9234290421009064e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2176 8.8272113353013992e-03</internalNodes>
-          <leafValues>
-            -2.9426699504256248e-02 1.2871199846267700e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2177 1.5159220201894641e-03</internalNodes>
-          <leafValues>
-            -7.0951983332633972e-02 7.0258103311061859e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2178 9.9900282919406891e-02</internalNodes>
-          <leafValues>
-            4.2045200243592262e-03 -2.5636160373687744e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2179 -9.0645171701908112e-02</internalNodes>
-          <leafValues>
-            -7.3471748828887939e-01 7.1614691987633705e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2180 -8.4249622887000442e-04</internalNodes>
-          <leafValues>
-            -1.5900529921054840e-01 2.4666419252753258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2181 -3.0089109204709530e-03</internalNodes>
-          <leafValues>
-            2.3173299431800842e-01 -2.1815709769725800e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2182 -3.3637441694736481e-02</internalNodes>
-          <leafValues>
-            -3.6218351125717163e-01 7.5414488092064857e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2183 -2.2824279963970184e-01</internalNodes>
-          <leafValues>
-            -5.3426170349121094e-01 8.0225821584463120e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2184 1.8216760829091072e-02</internalNodes>
-          <leafValues>
-            -1.5583549626171589e-02 1.6877870261669159e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2185 3.0790129676461220e-03</internalNodes>
-          <leafValues>
-            2.4512980133295059e-02 -1.9235950708389282e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2186 -4.4569619931280613e-03</internalNodes>
-          <leafValues>
-            -2.0312610268592834e-01 2.4477139115333557e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2187 -1.2145079672336578e-02</internalNodes>
-          <leafValues>
-            5.4033899307250977e-01 -8.7826717644929886e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2188 -2.3873759433627129e-02</internalNodes>
-          <leafValues>
-            1.3763800263404846e-01 -1.1732709594070911e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2189 -2.7447650209069252e-02</internalNodes>
-          <leafValues>
-            -1.6193859279155731e-01 2.8378870338201523e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2190 -4.5404389500617981e-02</internalNodes>
-          <leafValues>
-            2.2645190358161926e-01 -2.8770249336957932e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2191 1.6533889574930072e-03</internalNodes>
-          <leafValues>
-            3.0014310032129288e-02 -1.5527120232582092e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2192 -1.2394280172884464e-02</internalNodes>
-          <leafValues>
-            1.1130840331315994e-01 -2.5827359408140182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2193 1.8719509243965149e-02</internalNodes>
-          <leafValues>
-            -1.9343839958310127e-02 2.6074668765068054e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2194 -2.9856900218874216e-03</internalNodes>
-          <leafValues>
-            -2.8213161230087280e-01 7.8225499019026756e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2195 -2.0480990409851074e-02</internalNodes>
-          <leafValues>
-            -5.6029498577117920e-01 8.0386884510517120e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2196 6.2915110029280186e-03</internalNodes>
-          <leafValues>
-            -4.7007601708173752e-02 6.9091297686100006e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2197 -1.1142699979245663e-02</internalNodes>
-          <leafValues>
-            2.1556779742240906e-01 -2.0254980772733688e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2198 -3.1025360804051161e-03</internalNodes>
-          <leafValues>
-            -2.1672689914703369e-01 1.3014920055866241e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2199 7.7247130684554577e-03</internalNodes>
-          <leafValues>
-            9.9663622677326202e-03 -4.4809859991073608e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2200 -8.8526323437690735e-02</internalNodes>
-          <leafValues>
-            5.4465758800506592e-01 -1.8960989546030760e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2201 6.1687689274549484e-02</internalNodes>
-          <leafValues>
-            8.9669581502676010e-03 -5.0003600120544434e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2202 1.3722930103540421e-02</internalNodes>
-          <leafValues>
-            -1.3184379786252975e-02 2.3204129934310913e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2203 -4.9674719572067261e-02</internalNodes>
-          <leafValues>
-            -3.9700868725776672e-01 1.1291200295090675e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2204 1.4873009640723467e-03</internalNodes>
-          <leafValues>
-            -3.7490010261535645e-02 1.4988760650157928e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2205 1.4871370512992144e-03</internalNodes>
-          <leafValues>
-            2.5183940306305885e-02 -1.8258319795131683e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2206 -4.9300859682261944e-03</internalNodes>
-          <leafValues>
-            2.3329930007457733e-01 -2.0209580659866333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2207 3.8708809018135071e-01</internalNodes>
-          <leafValues>
-            1.4189199544489384e-02 -3.3035850524902344e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2208 -1.5642799437046051e-02</internalNodes>
-          <leafValues>
-            -2.2099809348583221e-01 7.4994498863816261e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2209 4.7617158852517605e-03</internalNodes>
-          <leafValues>
-            2.7577200904488564e-02 -1.6086949408054352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2210 6.0681640170514584e-03</internalNodes>
-          <leafValues>
-            -3.7658590823411942e-02 9.0074919164180756e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2211 7.3775771306827664e-04</internalNodes>
-          <leafValues>
-            -5.7681489735841751e-02 8.1796541810035706e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2212 9.9665368907153606e-04</internalNodes>
-          <leafValues>
-            -2.9481150209903717e-02 4.9594949930906296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2213 -7.1411498356610537e-04</internalNodes>
-          <leafValues>
-            7.9853750765323639e-02 -5.6889399886131287e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2214 4.0103218634612858e-04</internalNodes>
-          <leafValues>
-            3.9645630866289139e-02 -1.2507979571819305e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2215 -4.3492428958415985e-03</internalNodes>
-          <leafValues>
-            3.4267151355743408e-01 -1.3171579688787460e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2216 -4.5664971694350243e-03</internalNodes>
-          <leafValues>
-            -5.7348942756652832e-01 3.4244819544255733e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2217 -1.6654949635267258e-02</internalNodes>
-          <leafValues>
-            -2.9475829005241394e-01 1.4510709792375565e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2218 1.6763679683208466e-01</internalNodes>
-          <leafValues>
-            7.0861837593838573e-04 -9.9972397089004517e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2219 -1.4438680373132229e-02</internalNodes>
-          <leafValues>
-            9.1619342565536499e-02 -5.1960468292236328e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2220 6.6305609652772546e-04</internalNodes>
-          <leafValues>
-            2.9365209862589836e-02 -1.3490900397300720e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2221 -1.4088350326346699e-05</internalNodes>
-          <leafValues>
-            6.8118147552013397e-02 -6.9758139550685883e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2222 -1.4499350450932980e-02</internalNodes>
-          <leafValues>
-            1.0636260360479355e-01 -2.6339579373598099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2223 -1.4112069948168937e-05</internalNodes>
-          <leafValues>
-            6.7933529615402222e-02 -7.1538552641868591e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2224 3.2297680154442787e-03</internalNodes>
-          <leafValues>
-            3.5616960376501083e-02 -1.4987170696258545e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2225 -1.2449090136215091e-03</internalNodes>
-          <leafValues>
-            8.5310973227024078e-02 -5.0303228199481964e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2226 1.9396430579945445e-03</internalNodes>
-          <leafValues>
-            -3.2993078231811523e-02 5.2711058408021927e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2227 1.5153799904510379e-03</internalNodes>
-          <leafValues>
-            4.7350451350212097e-02 -9.0107597410678864e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2228 -2.0151579752564430e-02</internalNodes>
-          <leafValues>
-            3.1018638610839844e-01 -1.0560410097241402e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2229 -1.0241220006719232e-03</internalNodes>
-          <leafValues>
-            -1.5783089399337769e-01 2.6851199567317963e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2230 2.8379200026392937e-02</internalNodes>
-          <leafValues>
-            -9.9058141931891441e-03 1.4265379309654236e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2231 5.3610950708389282e-02</internalNodes>
-          <leafValues>
-            1.0473029688000679e-02 -4.4550651311874390e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2232 -1.4160390011966228e-02</internalNodes>
-          <leafValues>
-            -1. 7.1694981306791306e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2233 2.1303679386619478e-04</internalNodes>
-          <leafValues>
-            -6.9676317274570465e-02 6.4859509468078613e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2234 -4.8539000563323498e-03</internalNodes>
-          <leafValues>
-            7.1323692798614502e-02 -4.6175349503755569e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2235 3.0484499875456095e-03</internalNodes>
-          <leafValues>
-            -5.1321279257535934e-02 1.4626629650592804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2236 1.2647379934787750e-01</internalNodes>
-          <leafValues>
-            7.6361437095329165e-04 -1.0042829513549805e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2237 -3.1012939289212227e-02</internalNodes>
-          <leafValues>
-            -1.6555130481719971e-01 3.1050549820065498e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2238 5.1011998206377029e-02</internalNodes>
-          <leafValues>
-            1.7226659692823887e-03 -3.5149711370468140e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2239 1.0826109908521175e-02</internalNodes>
-          <leafValues>
-            3.8518119603395462e-02 -1.3052040338516235e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2240 4.8744820058345795e-02</internalNodes>
-          <leafValues>
-            -2.2428359836339951e-02 1.8270319700241089e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2241 -1.2570779770612717e-02</internalNodes>
-          <leafValues>
-            2.8901270031929016e-01 -1.7391089349985123e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2242 1.7412479966878891e-02</internalNodes>
-          <leafValues>
-            -1.0330840013921261e-02 1.6961729526519775e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2243 2.0524440333247185e-04</internalNodes>
-          <leafValues>
-            3.8509201258420944e-02 -1.2219169735908508e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2244 -1.2439410202205181e-03</internalNodes>
-          <leafValues>
-            5.4002009332180023e-02 -3.5104531794786453e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2245 6.1096338322386146e-04</internalNodes>
-          <leafValues>
-            -7.0445932447910309e-02 6.2362931668758392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2246 -1.3741919770836830e-02</internalNodes>
-          <leafValues>
-            9.2544101178646088e-02 -3.0641069635748863e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2247 -2.8044390492141247e-03</internalNodes>
-          <leafValues>
-            -1.2330780178308487e-01 4.2105171829462051e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2248 4.7048758715391159e-02</internalNodes>
-          <leafValues>
-            1.0950920404866338e-03 -8.4190052747726440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2249 -1.4890570193529129e-02</internalNodes>
-          <leafValues>
-            2.5517889857292175e-01 -1.7952889204025269e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2250 3.8549639284610748e-03</internalNodes>
-          <leafValues>
-            2.2235570475459099e-02 -4.2414370924234390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2251 -8.3304597064852715e-03</internalNodes>
-          <leafValues>
-            -1.7280849814414978e-01 2.6187630370259285e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2252 -2.4235919117927551e-03</internalNodes>
-          <leafValues>
-            6.1521679162979126e-02 -4.2346790432929993e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2253 2.0981200505048037e-03</internalNodes>
-          <leafValues>
-            -4.5152019709348679e-02 1.2587040662765503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2254 -3.1279098242521286e-02</internalNodes>
-          <leafValues>
-            -4.9621739983558655e-01 3.0154960695654154e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2255 -9.8806107416749001e-04</internalNodes>
-          <leafValues>
-            7.8685648739337921e-02 -6.1010491102933884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2256 -3.1887448858469725e-03</internalNodes>
-          <leafValues>
-            4.8666700720787048e-02 -6.9095551967620850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2257 3.6120909499004483e-04</internalNodes>
-          <leafValues>
-            3.7986539304256439e-02 -1.2916709482669830e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2258 -4.7003240324556828e-03</internalNodes>
-          <leafValues>
-            1.5735860168933868e-01 -3.1987510621547699e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2259 4.0772740612737834e-04</internalNodes>
-          <leafValues>
-            -8.1700682640075684e-02 7.0277199149131775e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2260 -1.5688460553064942e-04</internalNodes>
-          <leafValues>
-            6.6089183092117310e-02 -5.8684460818767548e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2261 -8.8306762336287647e-05</internalNodes>
-          <leafValues>
-            7.6648086309432983e-02 -6.1461128294467926e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2262 -8.4060793742537498e-03</internalNodes>
-          <leafValues>
-            -4.7935470938682556e-02 1.9660739228129387e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2263 -7.5640631839632988e-03</internalNodes>
-          <leafValues>
-            -1.3129790127277374e-01 3.6835629492998123e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2264 2.9140699552954175e-05</internalNodes>
-          <leafValues>
-            -4.8771411180496216e-02 5.4109010845422745e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2265 -2.9703689506277442e-05</internalNodes>
-          <leafValues>
-            7.7505372464656830e-02 -6.2566630542278290e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2266 4.6520221233367920e-01</internalNodes>
-          <leafValues>
-            3.2388810068368912e-03 -9.5390701293945312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2267 4.3617340922355652e-01</internalNodes>
-          <leafValues>
-            -1.0471199639141560e-02 4.9274379014968872e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2268 4.7622469067573547e-01</internalNodes>
-          <leafValues>
-            1.0192049667239189e-02 -3.0609691143035889e-01</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>312</maxWeakCount>
-      <stageThreshold>-8.6750441789627075e-01</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 2269 -6.9590657949447632e-03</internalNodes>
-          <leafValues>
-            1.5868470072746277e-01 -1.6239820420742035e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2270 -3.0573920812457800e-03</internalNodes>
-          <leafValues>
-            1.5380610525608063e-01 -1.0447710007429123e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2271 4.9113620072603226e-02</internalNodes>
-          <leafValues>
-            3.1365771428681910e-04 -5.9103668212890625e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2272 3.5433040466159582e-03</internalNodes>
-          <leafValues>
-            -5.8694530278444290e-02 1.9025419652462006e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2273 -3.1152060255408287e-03</internalNodes>
-          <leafValues>
-            1.6918399930000305e-01 -5.7261351495981216e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2274 -3.0493480153381824e-04</internalNodes>
-          <leafValues>
-            8.7339952588081360e-02 -1.1609370261430740e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2275 -2.9056929051876068e-03</internalNodes>
-          <leafValues>
-            -1.6569739580154419e-01 8.9497320353984833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2276 2.4364320561289787e-03</internalNodes>
-          <leafValues>
-            -6.1192200519144535e-03 -1.1708849668502808e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2277 -1.9272440671920776e-01</internalNodes>
-          <leafValues>
-            2.5199291110038757e-01 -2.5372540578246117e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2278 -1.5847420692443848e-01</internalNodes>
-          <leafValues>
-            4.7349348664283752e-01 1.1943650431931019e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2279 -1.4465919695794582e-02</internalNodes>
-          <leafValues>
-            2.6014938950538635e-01 -3.2948598265647888e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2280 1.4936940371990204e-01</internalNodes>
-          <leafValues>
-            1.3150180166121572e-04 -1.8844749450683594e+01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2281 -8.5310498252511024e-04</internalNodes>
-          <leafValues>
-            -1.7988120019435883e-01 3.9786599576473236e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2282 -7.1676567196846008e-02</internalNodes>
-          <leafValues>
-            9.7726896405220032e-02 -7.2678178548812866e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2283 -1.6500559868291020e-03</internalNodes>
-          <leafValues>
-            -1.6228690743446350e-01 4.5543350279331207e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2284 8.7681278586387634e-02</internalNodes>
-          <leafValues>
-            1.0731910355389118e-02 -2.5473240017890930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2285 4.2137179523706436e-02</internalNodes>
-          <leafValues>
-            -5.8585599064826965e-02 1.2307800352573395e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2286 1.5697469934821129e-03</internalNodes>
-          <leafValues>
-            3.9195891469717026e-02 -3.7577088922262192e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2287 4.3402929441072047e-04</internalNodes>
-          <leafValues>
-            7.2439298033714294e-02 -9.1538086533546448e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2288 -4.3872660025954247e-03</internalNodes>
-          <leafValues>
-            1.8260389566421509e-01 -1.8635680899024010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2289 -6.7455501994118094e-04</internalNodes>
-          <leafValues>
-            8.0404117703437805e-02 -8.2332372665405273e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2290 6.0816952027380466e-03</internalNodes>
-          <leafValues>
-            4.2769778519868851e-02 -1.8744979798793793e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2291 1.6488720430061221e-03</internalNodes>
-          <leafValues>
-            -4.2755078524351120e-02 1.4212779700756073e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2292 3.2328169327229261e-03</internalNodes>
-          <leafValues>
-            3.3626940101385117e-02 -7.8316323459148407e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2293 4.7256439924240112e-02</internalNodes>
-          <leafValues>
-            -2.2591020911931992e-02 3.0011969804763794e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2294 -6.2247258611023426e-03</internalNodes>
-          <leafValues>
-            -1.0147669911384583e-01 1.6788400709629059e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2295 1.6149500152096152e-03</internalNodes>
-          <leafValues>
-            5.5833689868450165e-02 -1.0707660019397736e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2296 9.1500347480177879e-04</internalNodes>
-          <leafValues>
-            -6.9352641701698303e-02 8.8161237537860870e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2297 -2.2576500196009874e-03</internalNodes>
-          <leafValues>
-            -1.2706309556961060e-01 5.4880708456039429e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2298 -3.4538839012384415e-02</internalNodes>
-          <leafValues>
-            2.7154579758644104e-01 -2.4382650852203369e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2299 -1.7117150127887726e-03</internalNodes>
-          <leafValues>
-            1.4996920526027679e-01 -4.0825318545103073e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2300 -3.2278900034725666e-03</internalNodes>
-          <leafValues>
-            -1.2764149904251099e-01 2.3431450128555298e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2301 -4.4023559894412756e-05</internalNodes>
-          <leafValues>
-            7.7392660081386566e-02 -7.4177153408527374e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2302 7.5647688936442137e-04</internalNodes>
-          <leafValues>
-            3.3927328884601593e-02 -1.4417350292205811e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2303 8.4927473217248917e-03</internalNodes>
-          <leafValues>
-            -4.0082499384880066e-02 1.2817430496215820e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2304 -7.6771569438278675e-03</internalNodes>
-          <leafValues>
-            -6.8460687994956970e-02 2.7800939977169037e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2305 -7.1219368837773800e-03</internalNodes>
-          <leafValues>
-            1.7107799649238586e-01 -3.3437490463256836e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2306 -5.5628590285778046e-02</internalNodes>
-          <leafValues>
-            2.7421030402183533e-01 -5.5358181707561016e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2307 -8.6285015568137169e-03</internalNodes>
-          <leafValues>
-            9.6154272556304932e-02 -5.9233158826828003e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2308 -8.4619313478469849e-02</internalNodes>
-          <leafValues>
-            -1.0364869982004166e-01 4.1444499045610428e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2309 3.9100160938687623e-04</internalNodes>
-          <leafValues>
-            -7.1321249008178711e-02 8.9755021035671234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2310 -1.8672130536288023e-03</internalNodes>
-          <leafValues>
-            -1.1459860205650330e-01 2.5895899161696434e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2311 -3.3822900149971247e-05</internalNodes>
-          <leafValues>
-            7.9902566969394684e-02 -6.7662969231605530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2312 8.1294048577547073e-03</internalNodes>
-          <leafValues>
-            -1.5307970345020294e-02 1.3641610741615295e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2313 -3.7496020086109638e-03</internalNodes>
-          <leafValues>
-            -1.9913309812545776e-01 3.0319629237055779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2314 -1.2066840194165707e-02</internalNodes>
-          <leafValues>
-            9.3559846282005310e-02 -2.5958370417356491e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2315 7.5598962604999542e-02</internalNodes>
-          <leafValues>
-            1.5041110105812550e-02 -3.6718261241912842e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2316 -1.6014720313251019e-03</internalNodes>
-          <leafValues>
-            -1.5824559330940247e-01 1.6495509073138237e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2317 -1.6493949806317687e-03</internalNodes>
-          <leafValues>
-            1.5612399578094482e-01 -3.3213630318641663e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2318 7.5000891229137778e-04</internalNodes>
-          <leafValues>
-            -6.6709816455841064e-02 1.1225040256977081e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2319 4.4484718819148839e-04</internalNodes>
-          <leafValues>
-            3.6335270851850510e-02 -1.6284869611263275e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2320 2.5233838823623955e-04</internalNodes>
-          <leafValues>
-            3.3983569592237473e-02 -1.0951840132474899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2321 -3.3512299414724112e-03</internalNodes>
-          <leafValues>
-            9.6623063087463379e-02 -5.5458720773458481e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2322 -9.4628758961334825e-04</internalNodes>
-          <leafValues>
-            -1.7076319456100464e-01 2.2219700738787651e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2323 9.0931905433535576e-03</internalNodes>
-          <leafValues>
-            -2.2302780300378799e-02 2.3247869312763214e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2324 1.4432819625653792e-05</internalNodes>
-          <leafValues>
-            -1.7819089815020561e-02 2.5444870814681053e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2325 -1.2126220099162310e-04</internalNodes>
-          <leafValues>
-            -1.0076980292797089e-01 4.8461761325597763e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2326 -1.5898300334811211e-03</internalNodes>
-          <leafValues>
-            7.1014806628227234e-02 -4.2943000793457031e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2327 6.1745261773467064e-03</internalNodes>
-          <leafValues>
-            -2.9729399830102921e-02 1.6170799732208252e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2328 -3.0631071422249079e-04</internalNodes>
-          <leafValues>
-            -8.7092787027359009e-02 3.1442601233720779e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2329 -5.8703188551589847e-04</internalNodes>
-          <leafValues>
-            6.9914981722831726e-02 -6.8044006824493408e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2330 -6.2474939040839672e-03</internalNodes>
-          <leafValues>
-            -9.6013367176055908e-02 2.9822429642081261e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2331 -8.4606884047389030e-03</internalNodes>
-          <leafValues>
-            -4.9265980720520020e-01 9.7682923078536987e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2332 -8.2077048718929291e-02</internalNodes>
-          <leafValues>
-            2.4171060323715210e-01 -2.1062780171632767e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2333 2.4003140628337860e-02</internalNodes>
-          <leafValues>
-            -1.1466279625892639e-02 4.2264458537101746e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2334 5.0643119961023331e-02</internalNodes>
-          <leafValues>
-            1.1797649785876274e-02 -3.0376261472702026e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2335 -7.5805537402629852e-02</internalNodes>
-          <leafValues>
-            -6.0144102573394775e-01 7.6154861599206924e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2336 2.1794199710711837e-04</internalNodes>
-          <leafValues>
-            -7.6192483305931091e-02 6.0302849858999252e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2337 -1.1538410035427660e-04</internalNodes>
-          <leafValues>
-            9.7286820411682129e-02 -6.3996717333793640e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2338 -5.6703570298850536e-03</internalNodes>
-          <leafValues>
-            4.7419899702072144e-01 -8.9765265583992004e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2339 9.0920249931514263e-04</internalNodes>
-          <leafValues>
-            -5.4096128791570663e-02 9.9844329059123993e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2340 6.6968752071261406e-04</internalNodes>
-          <leafValues>
-            2.9092999175190926e-02 -1.4089579880237579e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2341 -1.3045269995927811e-02</internalNodes>
-          <leafValues>
-            -3.6840420961380005e-01 1.3595229946076870e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2342 8.1813009455800056e-04</internalNodes>
-          <leafValues>
-            2.0997049286961555e-02 -7.1003288030624390e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2343 3.0674310401082039e-03</internalNodes>
-          <leafValues>
-            -2.0319199189543724e-02 2.1805720031261444e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2344 2.4622390046715736e-03</internalNodes>
-          <leafValues>
-            -4.3403070420026779e-02 9.6221841871738434e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2345 4.0511658880859613e-04</internalNodes>
-          <leafValues>
-            3.8897279649972916e-02 -1.3268139958381653e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2346 -8.4437627810984850e-04</internalNodes>
-          <leafValues>
-            5.0205118954181671e-02 -3.7280499935150146e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2347 -1.3546720147132874e-03</internalNodes>
-          <leafValues>
-            8.7879791855812073e-02 -5.8279629796743393e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2348 -3.7650408921763301e-04</internalNodes>
-          <leafValues>
-            -9.4865918159484863e-02 4.2081668972969055e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2349 3.3679799525998533e-04</internalNodes>
-          <leafValues>
-            4.7310721129179001e-02 -1.0243420302867889e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2350 -2.8126540200901218e-05</internalNodes>
-          <leafValues>
-            4.7269638627767563e-02 -5.5766370147466660e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2351 4.1841669008135796e-03</internalNodes>
-          <leafValues>
-            -1.9733460620045662e-02 2.3084339499473572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2352 -1.1791250435635448e-03</internalNodes>
-          <leafValues>
-            1.7762739956378937e-01 -3.5704571753740311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2353 -2.4450810160487890e-03</internalNodes>
-          <leafValues>
-            -1.1740010231733322e-01 4.4417370110750198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2354 2.6766739320009947e-03</internalNodes>
-          <leafValues>
-            3.3644858747720718e-02 -1.5421959757804871e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2355 9.7273271530866623e-03</internalNodes>
-          <leafValues>
-            -3.6012981086969376e-02 1.4240190386772156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2356 -4.9499998567625880e-04</internalNodes>
-          <leafValues>
-            -8.1604748964309692e-02 2.0572710782289505e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2357 -1.4889230020344257e-02</internalNodes>
-          <leafValues>
-            -4.6096751093864441e-01 9.8663335666060448e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2358 -3.0629769898951054e-03</internalNodes>
-          <leafValues>
-            2.6929551362991333e-01 -1.9634859636425972e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2359 -2.3329691030085087e-03</internalNodes>
-          <leafValues>
-            -1.8056930601596832e-01 2.6195030659437180e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2360 1.4440430095419288e-03</internalNodes>
-          <leafValues>
-            -3.6736939102411270e-02 9.5665268599987030e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2361 -2.4700779467821121e-03</internalNodes>
-          <leafValues>
-            7.1355991065502167e-02 -6.9826416671276093e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2362 2.5538569316267967e-03</internalNodes>
-          <leafValues>
-            -5.2430380135774612e-02 1.4462329447269440e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2363 1.2297700159251690e-03</internalNodes>
-          <leafValues>
-            5.3223300725221634e-02 -1.0887510329484940e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2364 -1.1272770352661610e-02</internalNodes>
-          <leafValues>
-            1.2317550182342529e-01 -2.3890729993581772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2365 8.5928626358509064e-03</internalNodes>
-          <leafValues>
-            4.2121421545743942e-02 -1.1863400042057037e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2366 3.3916949760168791e-03</internalNodes>
-          <leafValues>
-            -2.8021439909934998e-02 2.1571420133113861e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2367 3.9071948267519474e-03</internalNodes>
-          <leafValues>
-            1.2598560191690922e-02 -3.9708340167999268e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2368 -1.7956830561161041e-03</internalNodes>
-          <leafValues>
-            1.2647710740566254e-01 -5.7237148284912109e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2369 -7.7512441202998161e-04</internalNodes>
-          <leafValues>
-            -1.6876439750194550e-01 2.8973329812288284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2370 1.0271680355072021e-01</internalNodes>
-          <leafValues>
-            -1.2080660089850426e-02 3.9716011285781860e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2371 -4.0367760811932385e-04</internalNodes>
-          <leafValues>
-            6.7599602043628693e-02 -6.7388482391834259e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2372 -2.2988640703260899e-03</internalNodes>
-          <leafValues>
-            -9.6752107143402100e-02 5.6014880537986755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2373 -7.7720789704471827e-04</internalNodes>
-          <leafValues>
-            1.2280429899692535e-01 -3.8351070135831833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2374 4.3838539568241686e-05</internalNodes>
-          <leafValues>
-            -2.9446190223097801e-02 2.5065520778298378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2375 -4.3220039515290409e-05</internalNodes>
-          <leafValues>
-            6.0876619070768356e-02 -7.4360720813274384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2376 1.8013520457316190e-04</internalNodes>
-          <leafValues>
-            4.4003210961818695e-02 -1.2167269736528397e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2377 -1.5988990664482117e-02</internalNodes>
-          <leafValues>
-            -3.6425220966339111e-01 1.1611090041697025e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2378 3.0585259664803743e-03</internalNodes>
-          <leafValues>
-            -1.7674630507826805e-02 1.4486950635910034e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2379 -7.9687736928462982e-02</internalNodes>
-          <leafValues>
-            -5.1687908172607422e-01 9.3473158776760101e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2380 -1.9053969532251358e-02</internalNodes>
-          <leafValues>
-            6.6542461514472961e-02 -3.9088901132345200e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2381 6.2866392545402050e-04</internalNodes>
-          <leafValues>
-            -4.2991779744625092e-02 1.0028839856386185e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2382 -4.6688509173691273e-03</internalNodes>
-          <leafValues>
-            5.5551759898662567e-02 -4.2753148823976517e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2383 -1.4348989680001978e-05</internalNodes>
-          <leafValues>
-            7.3363922536373138e-02 -7.5351633131504059e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2384 2.9872718732804060e-04</internalNodes>
-          <leafValues>
-            -7.7761411666870117e-02 5.4107978940010071e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2385 -1.4901659451425076e-03</internalNodes>
-          <leafValues>
-            -1.2372410297393799e-01 3.6912061274051666e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2386 3.0812988989055157e-03</internalNodes>
-          <leafValues>
-            -8.6249075829982758e-03 1.9336590170860291e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2387 -2.1335019264370203e-03</internalNodes>
-          <leafValues>
-            2.3859849572181702e-01 -1.8126849085092545e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2388 9.9391005933284760e-03</internalNodes>
-          <leafValues>
-            1.1431059800088406e-02 -2.2138220071792603e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2389 8.2578818546608090e-04</internalNodes>
-          <leafValues>
-            3.9670199155807495e-02 -1.0737189650535583e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2390 1.8395700026303530e-03</internalNodes>
-          <leafValues>
-            -2.7136169373989105e-02 1.1130770295858383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2391 3.8778909947723150e-03</internalNodes>
-          <leafValues>
-            -5.4471541196107864e-02 8.4703780710697174e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2392 1.1750679695978761e-03</internalNodes>
-          <leafValues>
-            2.1696800366044044e-02 -1.3571469485759735e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2393 -1.5827510505914688e-03</internalNodes>
-          <leafValues>
-            7.7993959188461304e-02 -6.2593907117843628e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2394 -8.1443432718515396e-03</internalNodes>
-          <leafValues>
-            -8.9417421817779541e-01 2.4376239161938429e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2395 -3.5362979397177696e-03</internalNodes>
-          <leafValues>
-            -3.3739840984344482e-01 1.3051600195467472e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2396 -7.5185662135481834e-03</internalNodes>
-          <leafValues>
-            1.7903229594230652e-01 -9.4940410926938057e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2397 -1.3678180053830147e-02</internalNodes>
-          <leafValues>
-            -7.1258807182312012e-01 6.1758197844028473e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2398 2.9812520369887352e-03</internalNodes>
-          <leafValues>
-            -6.2631383538246155e-02 8.0112308263778687e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2399 -3.6354900803416967e-03</internalNodes>
-          <leafValues>
-            1.1051779985427856e-01 -3.6950528621673584e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2400 4.4591492041945457e-03</internalNodes>
-          <leafValues>
-            2.5896830484271049e-02 -1.0620719939470291e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2401 1.6104400157928467e-02</internalNodes>
-          <leafValues>
-            1.0394480079412460e-02 -4.1476351022720337e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2402 1.4112349599599838e-02</internalNodes>
-          <leafValues>
-            6.1774178175255656e-04 -6.8693232536315918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2403 -3.7388880737125874e-03</internalNodes>
-          <leafValues>
-            1.5318030118942261e-01 -2.9674530029296875e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2404 -3.8605570793151855e-02</internalNodes>
-          <leafValues>
-            -7.0356887578964233e-01 2.6169209741055965e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2405 1.8483239691704512e-03</internalNodes>
-          <leafValues>
-            7.5572483241558075e-02 -6.1567280441522598e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2406 -3.7039730232208967e-03</internalNodes>
-          <leafValues>
-            1.6795060038566589e-01 -2.0140400156378746e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2407 -6.7307491553947330e-04</internalNodes>
-          <leafValues>
-            -1.5372750163078308e-01 2.9886560514569283e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2408 1.9836979918181896e-03</internalNodes>
-          <leafValues>
-            -1.8347289413213730e-02 1.3557240366935730e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2409 -1.9738670380320400e-04</internalNodes>
-          <leafValues>
-            6.6614717245101929e-02 -8.0920897424221039e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2410 -1.4239580370485783e-02</internalNodes>
-          <leafValues>
-            -1.3320599496364594e-01 1.2875780463218689e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2411 4.0507009252905846e-03</internalNodes>
-          <leafValues>
-            4.0493208914995193e-02 -1.1370310187339783e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2412 -1.0803360491991043e-03</internalNodes>
-          <leafValues>
-            8.2551851868629456e-02 -5.4668750613927841e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2413 -1.4226039638742805e-03</internalNodes>
-          <leafValues>
-            -1.2009900063276291e-01 3.7243649363517761e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2414 -2.1526139229536057e-02</internalNodes>
-          <leafValues>
-            1.9598940014839172e-01 -1.1042039841413498e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2415 -2.0712440833449364e-02</internalNodes>
-          <leafValues>
-            2.9122969508171082e-01 -1.5912450850009918e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2416 -1.4033130137249827e-03</internalNodes>
-          <leafValues>
-            -1.2359079718589783e-01 1.6418259590864182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2417 5.8878812706097960e-04</internalNodes>
-          <leafValues>
-            3.4428730607032776e-02 -1.3279630243778229e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2418 -4.0147930121747777e-05</internalNodes>
-          <leafValues>
-            5.2795641124248505e-02 -4.6990659087896347e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2419 2.2268320899456739e-03</internalNodes>
-          <leafValues>
-            -2.1238829940557480e-02 2.1404080092906952e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2420 1.3318729586899281e-02</internalNodes>
-          <leafValues>
-            1.4480380341410637e-02 -2.3123030364513397e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2421 -1.7160760238766670e-02</internalNodes>
-          <leafValues>
-            -3.9468988776206970e-01 1.0943929664790630e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2422 3.0774369835853577e-02</internalNodes>
-          <leafValues>
-            2.1721019875258207e-03 -3.1501969695091248e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2423 -1.6679989174008369e-02</internalNodes>
-          <leafValues>
-            2.5761198997497559e-01 -1.7667369917035103e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2424 -9.7562937298789620e-04</internalNodes>
-          <leafValues>
-            -7.6857216656208038e-02 2.7707789093255997e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2425 -6.4838528633117676e-03</internalNodes>
-          <leafValues>
-            2.0521609485149384e-01 -2.1178059279918671e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2426 -2.4545229971408844e-03</internalNodes>
-          <leafValues>
-            -1.5586429834365845e-01 3.2481741160154343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2427 -2.4111429229378700e-03</internalNodes>
-          <leafValues>
-            9.1278932988643646e-02 -4.8587068915367126e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2428 1.5041510050650686e-04</internalNodes>
-          <leafValues>
-            -9.5509223639965057e-02 5.4279290139675140e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2429 4.1928939521312714e-02</internalNodes>
-          <leafValues>
-            5.5031818337738514e-03 -7.7479290962219238e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2430 2.0099419634789228e-03</internalNodes>
-          <leafValues>
-            -2.8640370815992355e-02 1.4182229340076447e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2431 1.9516570027917624e-03</internalNodes>
-          <leafValues>
-            1.4893580228090286e-02 -3.1890881061553955e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2432 -1.2247270205989480e-03</internalNodes>
-          <leafValues>
-            7.2824656963348389e-02 -3.1667441129684448e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2433 -1.0412910021841526e-02</internalNodes>
-          <leafValues>
-            -1.4135329425334930e-01 3.2725520431995392e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2434 -8.6048692464828491e-03</internalNodes>
-          <leafValues>
-            -1.7254149913787842e-01 3.4668690059334040e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2435 3.4611239098012447e-03</internalNodes>
-          <leafValues>
-            3.1594958156347275e-02 -1.5405359864234924e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2436 4.4333230704069138e-02</internalNodes>
-          <leafValues>
-            -2.0914139226078987e-02 1.6136829555034637e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2437 -3.2635610550642014e-02</internalNodes>
-          <leafValues>
-            2.1003389358520508e-01 -2.9780490323901176e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2438 -7.9052507877349854e-02</internalNodes>
-          <leafValues>
-            1.8492619693279266e-01 -1.1976730078458786e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2439 7.3115207254886627e-02</internalNodes>
-          <leafValues>
-            8.8554704561829567e-03 -5.1346242427825928e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2440 6.3138650730252266e-03</internalNodes>
-          <leafValues>
-            1.2937859632074833e-02 -2.1465529501438141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2441 -1.0274830274283886e-03</internalNodes>
-          <leafValues>
-            1.1241199821233749e-01 -4.2139180004596710e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2442 -1.6066900570876896e-04</internalNodes>
-          <leafValues>
-            -9.2596597969532013e-02 3.3403988927602768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2443 1.4575430192053318e-02</internalNodes>
-          <leafValues>
-            -2.3500410839915276e-02 1.8772770464420319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2444 -5.7197501882910728e-03</internalNodes>
-          <leafValues>
-            -1.4184519648551941e-01 3.3893290907144547e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2445 -1.0095680132508278e-02</internalNodes>
-          <leafValues>
-            -3.6976811289787292e-01 1.1113449931144714e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2446 -1.2176940217614174e-03</internalNodes>
-          <leafValues>
-            5.1818449050188065e-02 -4.7457851469516754e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2447 7.8980736434459686e-02</internalNodes>
-          <leafValues>
-            9.7751449793577194e-03 -4.3593549728393555e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2448 -9.6514541655778885e-04</internalNodes>
-          <leafValues>
-            4.8271138221025467e-02 -4.6483509242534637e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2449 9.1809416189789772e-03</internalNodes>
-          <leafValues>
-            -2.1579770371317863e-02 1.9924899935722351e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2450 -1.8495230004191399e-02</internalNodes>
-          <leafValues>
-            -3.4228208661079407e-01 6.5597319044172764e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2451 -2.2168110590428114e-03</internalNodes>
-          <leafValues>
-            9.0867489576339722e-02 -5.5027540773153305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2452 -1.5820340195205063e-04</internalNodes>
-          <leafValues>
-            -9.0893670916557312e-02 4.0111150592565536e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2453 1.5867890324443579e-03</internalNodes>
-          <leafValues>
-            -5.1445338875055313e-02 8.2311213016510010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2454 1.4582079648971558e-01</internalNodes>
-          <leafValues>
-            1.1615890543907881e-03 -8.7532532215118408e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2455 -6.6445011179894209e-04</internalNodes>
-          <leafValues>
-            -9.8049089312553406e-02 4.4343311339616776e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2456 5.8919959701597691e-03</internalNodes>
-          <leafValues>
-            1.5775660285726190e-03 -1.0001260042190552e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2457 -1.3995329936733469e-05</internalNodes>
-          <leafValues>
-            7.3066778481006622e-02 -5.7691581547260284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2458 -9.9132228642702103e-03</internalNodes>
-          <leafValues>
-            -7.5529462099075317e-01 5.2168890833854675e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2459 -1.5792429447174072e-02</internalNodes>
-          <leafValues>
-            2.8222128748893738e-01 -1.7060630023479462e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2460 -2.6797680184245110e-03</internalNodes>
-          <leafValues>
-            -7.9262927174568176e-02 1.5230569988489151e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2461 -1.4144170098006725e-02</internalNodes>
-          <leafValues>
-            -7.6791101694107056e-01 5.3670979104936123e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2462 1.6818119585514069e-01</internalNodes>
-          <leafValues>
-            9.6734073013067245e-03 -3.3587118983268738e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2463 -2.0679819583892822e-01</internalNodes>
-          <leafValues>
-            -4.4644999504089355e-01 8.5481600835919380e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2464 1.4232929970603436e-05</internalNodes>
-          <leafValues>
-            -4.8844348639249802e-02 4.5179460197687149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2465 -2.0378379151225090e-02</internalNodes>
-          <leafValues>
-            3.2889419794082642e-01 -1.3800919987261295e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2466 1.4215029776096344e-02</internalNodes>
-          <leafValues>
-            -1.0470540262758732e-02 1.1338669806718826e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2467 4.8233679262921214e-04</internalNodes>
-          <leafValues>
-            4.4216580688953400e-02 -1.0093499720096588e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2468 4.3106778321089223e-05</internalNodes>
-          <leafValues>
-            -3.8059741258621216e-02 3.7995509803295135e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2469 9.0388357639312744e-02</internalNodes>
-          <leafValues>
-            8.3996197208762169e-03 -4.9610888957977295e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2470 3.7458650767803192e-02</internalNodes>
-          <leafValues>
-            2.8608210850507021e-03 -3.5298860073089600e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2471 3.1219370663166046e-02</internalNodes>
-          <leafValues>
-            -8.9630456641316414e-03 5.2930659055709839e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2472 1.4717579819262028e-02</internalNodes>
-          <leafValues>
-            -3.5097280051559210e-03 2.6866179704666138e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2473 1.4505100436508656e-02</internalNodes>
-          <leafValues>
-            6.5859002061188221e-03 -6.7086291313171387e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2474 2.6275549316778779e-04</internalNodes>
-          <leafValues>
-            3.2062649726867676e-02 -5.3764168173074722e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2475 -1.5802070265635848e-03</internalNodes>
-          <leafValues>
-            1.7928290367126465e-01 -2.2988079115748405e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2476 -2.4961680173873901e-02</internalNodes>
-          <leafValues>
-            -7.6229918003082275e-01 1.3633499620482326e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2477 -1.0827300138771534e-02</internalNodes>
-          <leafValues>
-            -4.1359999775886536e-01 1.0123790241777897e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2478 3.1056890729814768e-03</internalNodes>
-          <leafValues>
-            -1.4968870207667351e-02 1.4612309634685516e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2479 -3.2839320600032806e-02</internalNodes>
-          <leafValues>
-            -8.3612412214279175e-01 5.1855011843144894e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2480 -8.2352161407470703e-03</internalNodes>
-          <leafValues>
-            2.2326070070266724e-01 -9.2590171843767166e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2481 9.3107353895902634e-03</internalNodes>
-          <leafValues>
-            -9.7794700413942337e-03 4.2239460349082947e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2482 -1.4591770246624947e-02</internalNodes>
-          <leafValues>
-            -2.4204090237617493e-01 8.5437763482332230e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2483 -2.1764719858765602e-02</internalNodes>
-          <leafValues>
-            -6.0603100061416626e-01 7.0369099266827106e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2484 1.3476300409820396e-05</internalNodes>
-          <leafValues>
-            -5.2269939333200455e-02 6.5587602555751801e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2485 1.3351259753108025e-02</internalNodes>
-          <leafValues>
-            -4.0418989956378937e-02 1.0951729863882065e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2486 -6.3701579347252846e-03</internalNodes>
-          <leafValues>
-            -1.3111020624637604e-01 3.8481429219245911e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2487 1.5143630094826221e-02</internalNodes>
-          <leafValues>
-            -2.0249659195542336e-02 2.1716409921646118e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2488 4.5786341652274132e-03</internalNodes>
-          <leafValues>
-            1.4322079718112946e-02 -5.7222241163253784e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2489 -4.6741031110286713e-02</internalNodes>
-          <leafValues>
-            -7.2265928983688354e-01 4.1450331918895245e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2490 9.5456670969724655e-03</internalNodes>
-          <leafValues>
-            -1.0392360389232635e-02 1.8317960202693939e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2491 -1.7097139358520508e-01</internalNodes>
-          <leafValues>
-            -2.6629018783569336e-01 1.5714570879936218e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2492 -7.1421632310375571e-04</internalNodes>
-          <leafValues>
-            6.8821117281913757e-02 -1.8535939976572990e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2493 4.7080889344215393e-03</internalNodes>
-          <leafValues>
-            8.7029086425900459e-03 -4.7382900118827820e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2494 2.8823789762100205e-05</internalNodes>
-          <leafValues>
-            -3.5033170133829117e-02 4.1010260581970215e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2495 -2.3279939778149128e-03</internalNodes>
-          <leafValues>
-            2.3261049389839172e-01 -1.7835669219493866e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2496 8.4805669030174613e-04</internalNodes>
-          <leafValues>
-            2.5282969698309898e-02 -1.7157159745693207e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2497 -6.5123359672725201e-04</internalNodes>
-          <leafValues>
-            8.6811847984790802e-02 -4.7068729996681213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2498 -1.1371539440006018e-03</internalNodes>
-          <leafValues>
-            8.0242671072483063e-02 -1.6520520672202110e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2499 -5.6554668117314577e-04</internalNodes>
-          <leafValues>
-            -1.4709630608558655e-01 3.2420728355646133e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2500 2.4779029190540314e-03</internalNodes>
-          <leafValues>
-            -9.6723642200231552e-03 1.3506250083446503e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2501 1.7332839779555798e-03</internalNodes>
-          <leafValues>
-            -2.4561529979109764e-02 1.7612139880657196e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2502 -4.4806491583585739e-02</internalNodes>
-          <leafValues>
-            -6.0948181152343750e-01 3.4338440746068954e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2503 -2.0501140505075455e-02</internalNodes>
-          <leafValues>
-            -5.4643869400024414e-01 7.2927437722682953e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2504 -1.6198139637708664e-02</internalNodes>
-          <leafValues>
-            -6.6130048036575317e-01 2.1677929908037186e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2505 1.4479210221907124e-05</internalNodes>
-          <leafValues>
-            -5.5189680308103561e-02 7.2523497045040131e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2506 -1.7286660149693489e-03</internalNodes>
-          <leafValues>
-            -1.7387390136718750e-01 8.9998291805386543e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2507 -1.3669549844053108e-05</internalNodes>
-          <leafValues>
-            6.6204346716403961e-02 -6.1010520905256271e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2508 3.5130590200424194e-01</internalNodes>
-          <leafValues>
-            1.3569389702752233e-03 -8.1200098991394043e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2509 2.4454699456691742e-01</internalNodes>
-          <leafValues>
-            9.9658807739615440e-03 -4.1247910261154175e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2510 -3.2614581286907196e-02</internalNodes>
-          <leafValues>
-            7.0626311004161835e-02 -2.6639420539140701e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2511 2.4752068566158414e-04</internalNodes>
-          <leafValues>
-            3.3226758241653442e-02 -1.3203519582748413e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2512 -1.3165399432182312e-03</internalNodes>
-          <leafValues>
-            7.8517846763134003e-02 -1.9580749794840813e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2513 -1.6912100545596331e-04</internalNodes>
-          <leafValues>
-            -9.7635522484779358e-02 4.3525248765945435e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2514 9.2338479589670897e-04</internalNodes>
-          <leafValues>
-            -2.9401849955320358e-02 8.0856159329414368e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2515 -1.0980790248140693e-03</internalNodes>
-          <leafValues>
-            1.2562260031700134e-01 -3.5378601402044296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2516 7.5967791490256786e-03</internalNodes>
-          <leafValues>
-            1.2936309911310673e-02 -2.9600989818572998e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2517 3.6338350037112832e-04</internalNodes>
-          <leafValues>
-            4.7169290482997894e-02 -9.5228493213653564e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2518 -6.4660399220883846e-03</internalNodes>
-          <leafValues>
-            9.8374269902706146e-02 -4.1656348854303360e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2519 5.0431757699698210e-04</internalNodes>
-          <leafValues>
-            -6.7573040723800659e-02 6.5746881067752838e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2520 2.0181000232696533e-02</internalNodes>
-          <leafValues>
-            -2.6914089918136597e-02 1.6784250736236572e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2521 8.3369575440883636e-03</internalNodes>
-          <leafValues>
-            4.0364239364862442e-02 -1.3436989486217499e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2522 6.0851150192320347e-04</internalNodes>
-          <leafValues>
-            -4.2444441467523575e-02 1.2860350310802460e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2523 2.4325479753315449e-03</internalNodes>
-          <leafValues>
-            3.1940739601850510e-02 -1.8476389348506927e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2524 -9.9839484319090843e-03</internalNodes>
-          <leafValues>
-            1.1942879855632782e-01 -4.2162060737609863e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2525 -5.5000629276037216e-02</internalNodes>
-          <leafValues>
-            -1.1925660073757172e-01 4.6324558556079865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2526 1.9433120265603065e-02</internalNodes>
-          <leafValues>
-            5.1037009805440903e-02 -5.5511191487312317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2527 -5.4839542135596275e-03</internalNodes>
-          <leafValues>
-            8.1406086683273315e-02 -6.0122720897197723e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2528 -3.0243439599871635e-02</internalNodes>
-          <leafValues>
-            -9.7785070538520813e-02 2.1915659308433533e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2529 2.0199140999466181e-03</internalNodes>
-          <leafValues>
-            -1.8789879977703094e-02 2.4053630232810974e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2530 1.2714860029518604e-02</internalNodes>
-          <leafValues>
-            3.9840238168835640e-03 -3.1065699458122253e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2531 -1.6343439929187298e-03</internalNodes>
-          <leafValues>
-            -1.4421850442886353e-01 3.4464638680219650e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2532 -7.7880651224404573e-04</internalNodes>
-          <leafValues>
-            6.4484052360057831e-02 -3.2130420207977295e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2533 -5.3918338380753994e-03</internalNodes>
-          <leafValues>
-            2.0775160193443298e-01 -2.2383010014891624e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2534 5.8038760907948017e-03</internalNodes>
-          <leafValues>
-            2.5264130905270576e-02 -8.7034113705158234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2535 -1.5872420044615865e-03</internalNodes>
-          <leafValues>
-            -1.3280770182609558e-01 3.2864589244127274e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2536 -2.0254219416528940e-03</internalNodes>
-          <leafValues>
-            5.4597068578004837e-02 -6.1921451240777969e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2537 -1.0030369739979506e-03</internalNodes>
-          <leafValues>
-            9.2259302735328674e-02 -5.1212120801210403e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2538 2.1510530263185501e-02</internalNodes>
-          <leafValues>
-            -8.8652186095714569e-03 2.4676810204982758e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2539 -3.9943971205502748e-04</internalNodes>
-          <leafValues>
-            7.5322106480598450e-02 -6.5167978405952454e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2540 9.4137862324714661e-03</internalNodes>
-          <leafValues>
-            1.0708389803767204e-02 -2.1738730370998383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2541 5.5900849401950836e-02</internalNodes>
-          <leafValues>
-            -2.9666159301996231e-02 1.5803800523281097e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2542 1.2583700008690357e-02</internalNodes>
-          <leafValues>
-            2.0409680902957916e-02 -2.3156540095806122e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2543 -1.2195089831948280e-02</internalNodes>
-          <leafValues>
-            -3.1428098678588867e-01 1.3503570109605789e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2544 2.8386089950799942e-02</internalNodes>
-          <leafValues>
-            -1.9067099317908287e-02 1.2438379973173141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2545 -2.5152720627374947e-04</internalNodes>
-          <leafValues>
-            7.1380242705345154e-02 -5.8560580015182495e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2546 2.9507439583539963e-02</internalNodes>
-          <leafValues>
-            6.3799307681620121e-03 -1.4193299412727356e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2547 1.2022940441966057e-02</internalNodes>
-          <leafValues>
-            -5.3622491657733917e-02 8.0924786627292633e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2548 1.2839339673519135e-02</internalNodes>
-          <leafValues>
-            -2.6221500709652901e-02 4.1462760418653488e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2549 5.8855762472376227e-04</internalNodes>
-          <leafValues>
-            3.8205999881029129e-02 -1.1232639849185944e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2550 -1.8602449446916580e-02</internalNodes>
-          <leafValues>
-            4.2938970029354095e-02 -2.1604780107736588e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2551 9.6901757642626762e-03</internalNodes>
-          <leafValues>
-            -6.5837942063808441e-02 9.5084339380264282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2552 -2.1559480577707291e-02</internalNodes>
-          <leafValues>
-            1.0580649971961975e-01 -1.8551910296082497e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2553 7.3115159757435322e-03</internalNodes>
-          <leafValues>
-            3.6227419972419739e-02 -1.2839490175247192e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2554 3.5540990065783262e-03</internalNodes>
-          <leafValues>
-            -1.4768529683351517e-02 1.0962279886007309e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2555 -3.5278309136629105e-02</internalNodes>
-          <leafValues>
-            -1.6880880296230316e-01 2.6196459308266640e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2556 -4.6638878993690014e-03</internalNodes>
-          <leafValues>
-            2.2009849548339844e-01 -1.9692299887537956e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2557 1.9794099498540163e-03</internalNodes>
-          <leafValues>
-            3.6675110459327698e-02 -1.1910759657621384e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2558 -6.8223169073462486e-03</internalNodes>
-          <leafValues>
-            -7.6013803482055664e-02 2.6197660714387894e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2559 5.9645362198352814e-03</internalNodes>
-          <leafValues>
-            4.9213368445634842e-02 -1.0780470073223114e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2560 1.4459050260484219e-02</internalNodes>
-          <leafValues>
-            3.2462789677083492e-03 -8.5476738214492798e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2561 -3.1713109463453293e-02</internalNodes>
-          <leafValues>
-            1.3757289946079254e-01 -3.6400198936462402e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2562 1.7335789743810892e-03</internalNodes>
-          <leafValues>
-            -4.3718948960304260e-02 5.9835158288478851e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2563 -5.0536859780550003e-03</internalNodes>
-          <leafValues>
-            -1.5021230280399323e-01 2.9182959347963333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2564 8.4217369556427002e-02</internalNodes>
-          <leafValues>
-            1.3661800185218453e-03 -9.5813941955566406e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2565 -1.0397040285170078e-02</internalNodes>
-          <leafValues>
-            1.3979810476303101e-01 -3.3863049000501633e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2566 2.2687430027872324e-03</internalNodes>
-          <leafValues>
-            1.8805570900440216e-02 -6.6583722829818726e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2567 -8.4558986127376556e-03</internalNodes>
-          <leafValues>
-            9.0560458600521088e-02 -5.0610478967428207e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2568 1.3801630120724440e-03</internalNodes>
-          <leafValues>
-            1.7754420638084412e-02 -2.1638050675392151e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2569 -5.5963802151381969e-03</internalNodes>
-          <leafValues>
-            -2.8498208522796631e-01 1.5376719646155834e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2570 2.6721679023467004e-04</internalNodes>
-          <leafValues>
-            -3.9111170917749405e-02 6.6796816885471344e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2571 -2.1694051101803780e-03</internalNodes>
-          <leafValues>
-            2.2806470096111298e-01 -1.9059510901570320e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2572 -3.1538289040327072e-02</internalNodes>
-          <leafValues>
-            -8.6931541562080383e-02 9.8167890682816505e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2573 -7.5018982170149684e-04</internalNodes>
-          <leafValues>
-            9.9676176905632019e-02 -4.2362589389085770e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2574 -6.4003129955381155e-04</internalNodes>
-          <leafValues>
-            6.2989667057991028e-02 -3.9446629583835602e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2575 -1.5866950154304504e-02</internalNodes>
-          <leafValues>
-            -4.8367229104042053e-01 8.9298039674758911e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2576 8.7925972184166312e-04</internalNodes>
-          <leafValues>
-            -7.2101019322872162e-02 4.3867569416761398e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2577 -4.5651597902178764e-03</internalNodes>
-          <leafValues>
-            -1.3108620047569275e-01 3.7173461169004440e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2578 -2.7413619682192802e-03</internalNodes>
-          <leafValues>
-            1.1473529785871506e-01 -4.2169798165559769e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2579 -2.1342469379305840e-02</internalNodes>
-          <leafValues>
-            -6.8548619747161865e-01 5.8210380375385284e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2580 1.4491120055026840e-05</internalNodes>
-          <leafValues>
-            -2.9132340103387833e-02 3.3831749111413956e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>309</maxWeakCount>
-      <stageThreshold>-7.9887461662292480e-01</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 2581 -1.8552249297499657e-02</internalNodes>
-          <leafValues>
-            3.3236879110336304e-01 -7.6788291335105896e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2582 3.7926589720882475e-04</internalNodes>
-          <leafValues>
-            1.7414020374417305e-02 -5.7631779462099075e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2583 2.1424360573291779e-02</internalNodes>
-          <leafValues>
-            -6.4302399754524231e-02 2.4737679958343506e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2584 4.4263061136007309e-03</internalNodes>
-          <leafValues>
-            -7.7862620353698730e-02 1.6879579424858093e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2585 -1.5863520093262196e-04</internalNodes>
-          <leafValues>
-            1.4739909768104553e-01 -5.0722010433673859e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2586 -6.6188991069793701e-02</internalNodes>
-          <leafValues>
-            5.7475470006465912e-02 -5.5869068950414658e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2587 3.4559089690446854e-02</internalNodes>
-          <leafValues>
-            -6.9819921627640724e-03 -4.1039318847656250e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2588 7.3930531740188599e-02</internalNodes>
-          <leafValues>
-            6.0889549786224961e-05 -1.9960350036621094e+02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2589 1.8902160227298737e-02</internalNodes>
-          <leafValues>
-            2.9056149287498556e-05 -5.2581162109375000e+03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2590 1.9612549804151058e-03</internalNodes>
-          <leafValues>
-            -2.3328019306063652e-02 4.2286589741706848e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2591 -2.7586980722844601e-03</internalNodes>
-          <leafValues>
-            -1.7501020431518555e-01 4.9470871686935425e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2592 -1.2046890333294868e-02</internalNodes>
-          <leafValues>
-            2.2035419940948486e-01 1.2788879685103893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2593 -1.8279790878295898e-02</internalNodes>
-          <leafValues>
-            4.5822000503540039e-01 -1.9634220749139786e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2594 4.3859930883627385e-05</internalNodes>
-          <leafValues>
-            -3.4029088914394379e-02 3.8145478814840317e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2595 7.6734893023967743e-02</internalNodes>
-          <leafValues>
-            -3.1122019514441490e-02 2.9373010993003845e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2596 -2.2784480825066566e-02</internalNodes>
-          <leafValues>
-            1.0999619960784912e-01 -4.7260750085115433e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2597 1.7537520034238696e-03</internalNodes>
-          <leafValues>
-            7.7944591641426086e-02 -9.3691043555736542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2598 -7.5380277121439576e-04</internalNodes>
-          <leafValues>
-            -1.2007279694080353e-01 3.7189111113548279e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2599 4.9356842646375299e-04</internalNodes>
-          <leafValues>
-            -5.6529350578784943e-02 1.1932630091905594e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2600 -3.1938559841364622e-03</internalNodes>
-          <leafValues>
-            2.3886230587959290e-01 -1.0429210029542446e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2601 -6.2314997194334865e-04</internalNodes>
-          <leafValues>
-            -1.4654360711574554e-01 4.6651639044284821e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2602 7.5532711343839765e-04</internalNodes>
-          <leafValues>
-            -3.2616719603538513e-02 1.0278490185737610e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2603 -6.0558720724657178e-04</internalNodes>
-          <leafValues>
-            1.4802519977092743e-01 -5.5854860693216324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2604 -1.2911390513181686e-03</internalNodes>
-          <leafValues>
-            -2.4329729378223419e-01 2.1729959174990654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2605 1.0470219422131777e-03</internalNodes>
-          <leafValues>
-            3.1796138733625412e-02 -2.0254389941692352e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2606 2.2770989744458348e-04</internalNodes>
-          <leafValues>
-            -9.9047839641571045e-02 8.5004203021526337e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2607 -6.8532312288880348e-03</internalNodes>
-          <leafValues>
-            9.5258437097072601e-02 -6.6690467298030853e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2608 1.6310160281136632e-03</internalNodes>
-          <leafValues>
-            2.5861479341983795e-02 -1.2913499772548676e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2609 8.4447831613942981e-04</internalNodes>
-          <leafValues>
-            -9.9558450281620026e-02 7.8244321048259735e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2610 1.2907589785754681e-02</internalNodes>
-          <leafValues>
-            -1.9313080236315727e-02 1.5871819853782654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2611 -1.8375849351286888e-02</internalNodes>
-          <leafValues>
-            -1.6427409648895264e-01 3.7290308624505997e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2612 7.7001117169857025e-02</internalNodes>
-          <leafValues>
-            4.6129091642796993e-03 -3.5554099082946777e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2613 4.3118221219629049e-04</internalNodes>
-          <leafValues>
-            -7.4013233184814453e-02 7.7864721417427063e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2614 -2.3275790736079216e-03</internalNodes>
-          <leafValues>
-            1.2112230062484741e-01 -6.0913208872079849e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2615 3.4061390906572342e-03</internalNodes>
-          <leafValues>
-            4.6381261199712753e-02 -1.5369950234889984e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2616 1.6798749566078186e-03</internalNodes>
-          <leafValues>
-            -4.8045791685581207e-02 1.6896919906139374e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2617 -2.8759230190189555e-05</internalNodes>
-          <leafValues>
-            7.1234047412872314e-02 -8.4967203438282013e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2618 -3.8337870500981808e-03</internalNodes>
-          <leafValues>
-            8.6094066500663757e-02 -1.8024690449237823e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2619 -3.9875688962638378e-03</internalNodes>
-          <leafValues>
-            -1.9953170418739319e-01 3.2206621021032333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2620 9.3647763133049011e-03</internalNodes>
-          <leafValues>
-            -3.1845349818468094e-02 1.1254569888114929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2621 -1.8147890223190188e-03</internalNodes>
-          <leafValues>
-            8.5613116621971130e-02 -6.8807862699031830e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2622 2.3888219147920609e-03</internalNodes>
-          <leafValues>
-            4.1106618940830231e-02 -1.3841870427131653e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2623 7.7157230116426945e-03</internalNodes>
-          <leafValues>
-            -4.8835061490535736e-02 1.2875230610370636e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2624 1.2959349900484085e-02</internalNodes>
-          <leafValues>
-            1.2101089581847191e-02 -7.2399519383907318e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2625 2.0204610191285610e-03</internalNodes>
-          <leafValues>
-            -7.5819760560989380e-02 9.4004109501838684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2626 2.4580449098721147e-04</internalNodes>
-          <leafValues>
-            2.7981899678707123e-02 -7.9659119248390198e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2627 2.6291629672050476e-01</internalNodes>
-          <leafValues>
-            7.6313978061079979e-03 -6.2488871812820435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2628 5.4684141650795937e-04</internalNodes>
-          <leafValues>
-            3.6020711064338684e-02 -1.2037140130996704e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2629 2.2176979109644890e-03</internalNodes>
-          <leafValues>
-            -2.5367310270667076e-02 1.9185779988765717e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2630 -1.7476399661973119e-03</internalNodes>
-          <leafValues>
-            -6.5879262983798981e-02 2.9718939214944839e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2631 -2.3619020357728004e-02</internalNodes>
-          <leafValues>
-            2.6847231388092041e-01 -1.8415899947285652e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2632 -2.8751560021191835e-03</internalNodes>
-          <leafValues>
-            -1.2898570299148560e-01 2.4393929168581963e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2633 6.8191969767212868e-03</internalNodes>
-          <leafValues>
-            1.8544880673289299e-02 -2.7904790639877319e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2634 3.0725370161235332e-03</internalNodes>
-          <leafValues>
-            -2.1483320742845535e-02 2.4263529479503632e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2635 -2.0298749208450317e-02</internalNodes>
-          <leafValues>
-            -1.4076599478721619e-01 3.2566029578447342e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2636 -1.5689089894294739e-02</internalNodes>
-          <leafValues>
-            -6.9940197467803955e-01 3.9432961493730545e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2637 -1.1604740284383297e-03</internalNodes>
-          <leafValues>
-            9.5765352249145508e-02 -6.2716588377952576e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2638 7.5667561031877995e-03</internalNodes>
-          <leafValues>
-            -2.6595719158649445e-02 1.9355979561805725e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2639 -3.1542551005259156e-04</internalNodes>
-          <leafValues>
-            7.0579119026660919e-02 -7.1788802742958069e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2640 2.9042719397693872e-03</internalNodes>
-          <leafValues>
-            -6.1845920979976654e-02 4.2431510984897614e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2641 3.5413689911365509e-03</internalNodes>
-          <leafValues>
-            5.9017430990934372e-02 -9.6548438072204590e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2642 1.1393419699743390e-03</internalNodes>
-          <leafValues>
-            4.3081670999526978e-02 -1.4239120483398438e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2643 -4.6505071222782135e-03</internalNodes>
-          <leafValues>
-            1.3614599406719208e-01 -4.5110020786523819e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2644 -3.4854039549827576e-03</internalNodes>
-          <leafValues>
-            -6.9675557315349579e-02 1.4633069746196270e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2645 -3.7426329217851162e-03</internalNodes>
-          <leafValues>
-            -1.5967729687690735e-01 3.3669691532850266e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2646 -2.9627270996570587e-03</internalNodes>
-          <leafValues>
-            2.0822240412235260e-01 -2.2225260734558105e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2647 -3.4283090382814407e-02</internalNodes>
-          <leafValues>
-            2.1095730364322662e-01 -2.3902049288153648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2648 3.3819628879427910e-04</internalNodes>
-          <leafValues>
-            3.9674218744039536e-02 -1.3274720311164856e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2649 2.3642720188945532e-03</internalNodes>
-          <leafValues>
-            -2.4829670786857605e-02 2.0826670527458191e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2650 -1.2370860204100609e-02</internalNodes>
-          <leafValues>
-            -1.7958630621433258e-01 7.0276390761137009e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2651 -9.7465672297403216e-04</internalNodes>
-          <leafValues>
-            6.9008462131023407e-02 -7.2172008454799652e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2652 4.1931481100618839e-03</internalNodes>
-          <leafValues>
-            -4.4049788266420364e-02 6.0757238417863846e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2653 -5.9395581483840942e-03</internalNodes>
-          <leafValues>
-            -1.1568579822778702e-01 4.6306878328323364e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2654 3.3657620660960674e-03</internalNodes>
-          <leafValues>
-            7.1067977696657181e-03 -5.6800097227096558e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2655 5.2664991468191147e-02</internalNodes>
-          <leafValues>
-            -8.0993287265300751e-03 6.1797207593917847e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2656 -8.6903236806392670e-03</internalNodes>
-          <leafValues>
-            8.8130272924900055e-02 -5.3699720650911331e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2657 5.1246141083538532e-04</internalNodes>
-          <leafValues>
-            3.2490119338035583e-02 -1.4880390465259552e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2658 4.1789390146732330e-02</internalNodes>
-          <leafValues>
-            -1.0749000124633312e-02 1.7396600544452667e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2659 1.2822130229324102e-03</internalNodes>
-          <leafValues>
-            -4.3590739369392395e-02 1.0424520075321198e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2660 1.5393650159239769e-02</internalNodes>
-          <leafValues>
-            1.2413539923727512e-02 -1.1460710316896439e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2661 -7.1986489929258823e-03</internalNodes>
-          <leafValues>
-            -1.5547029674053192e-01 3.2518330961465836e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2662 2.4960329756140709e-03</internalNodes>
-          <leafValues>
-            -3.2073240727186203e-02 6.2223941087722778e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2663 1.5824640169739723e-02</internalNodes>
-          <leafValues>
-            -3.3876150846481323e-02 1.3409389555454254e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2664 -1.1245839996263385e-03</internalNodes>
-          <leafValues>
-            -1.0918530076742172e-01 3.2895151525735855e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2665 1.5742470277473330e-03</internalNodes>
-          <leafValues>
-            -6.6320508718490601e-02 6.3174061477184296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2666 1.3438949827104807e-03</internalNodes>
-          <leafValues>
-            -3.1797438859939575e-02 8.5642039775848389e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2667 -1.7369530396535993e-03</internalNodes>
-          <leafValues>
-            -1.0020039975643158e-01 4.5710239559412003e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2668 1.3791640289127827e-02</internalNodes>
-          <leafValues>
-            -1.3253919780254364e-02 1.0214310139417648e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2669 -1.0735140182077885e-02</internalNodes>
-          <leafValues>
-            1.2846539914608002e-01 -3.9404049515724182e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2670 2.9586190357804298e-03</internalNodes>
-          <leafValues>
-            2.0358830690383911e-02 -6.5112963318824768e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2671 4.0438622236251831e-03</internalNodes>
-          <leafValues>
-            -2.4486489593982697e-02 1.7876209318637848e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2672 -3.6525711417198181e-02</internalNodes>
-          <leafValues>
-            -3.0766680836677551e-01 3.2902029342949390e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2673 8.7369624525308609e-03</internalNodes>
-          <leafValues>
-            2.9470490291714668e-02 -1.5324589610099792e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2674 2.0252179820090532e-03</internalNodes>
-          <leafValues>
-            -4.0819671005010605e-02 5.9705868363380432e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2675 5.5626290850341320e-03</internalNodes>
-          <leafValues>
-            1.1083589866757393e-02 -3.8313630223274231e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2676 -1.4883900294080377e-03</internalNodes>
-          <leafValues>
-            8.7504617869853973e-02 -6.4911797642707825e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2677 1.4624910363636445e-05</internalNodes>
-          <leafValues>
-            -7.4116103351116180e-02 5.5589601397514343e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2678 3.4180650254711509e-04</internalNodes>
-          <leafValues>
-            -5.3940810263156891e-02 5.3457278758287430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2679 1.5538090374320745e-03</internalNodes>
-          <leafValues>
-            5.6233700364828110e-02 -8.4622420370578766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2680 6.7849917104467750e-04</internalNodes>
-          <leafValues>
-            -3.8959890604019165e-02 1.0434179753065109e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2681 -4.7519501298666000e-02</internalNodes>
-          <leafValues>
-            1.0885579884052277e-01 -4.0618479251861572e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2682 2.4074900895357132e-02</internalNodes>
-          <leafValues>
-            3.5018681082874537e-03 -6.4238542318344116e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2683 3.7433409597724676e-03</internalNodes>
-          <leafValues>
-            2.6027470827102661e-02 -1.6493119299411774e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2684 7.2088050656020641e-03</internalNodes>
-          <leafValues>
-            -1.2712650001049042e-02 1.3134109973907471e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2685 -1.0108030401170254e-03</internalNodes>
-          <leafValues>
-            6.1837401241064072e-02 -8.2996368408203125e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2686 4.1825440712273121e-03</internalNodes>
-          <leafValues>
-            -1.0030060075223446e-02 1.1928550153970718e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2687 -3.1841539312154055e-03</internalNodes>
-          <leafValues>
-            -2.5018841028213501e-01 1.7455190420150757e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2688 -2.5301869958639145e-02</internalNodes>
-          <leafValues>
-            -4.0261000394821167e-01 1.0077700018882751e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2689 -7.3312386870384216e-02</internalNodes>
-          <leafValues>
-            2.7588349580764771e-01 -1.7455000430345535e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2690 2.8851899504661560e-01</internalNodes>
-          <leafValues>
-            9.3694366514682770e-03 -2.5082978606224060e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2691 -3.0820369720458984e-03</internalNodes>
-          <leafValues>
-            2.5158360600471497e-01 -1.8791029229760170e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2692 -1.5379919670522213e-02</internalNodes>
-          <leafValues>
-            -3.3297958970069885e-01 6.7029618658125401e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2693 -2.5755220558494329e-03</internalNodes>
-          <leafValues>
-            -1.4434809982776642e-01 3.0039159581065178e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2694 -2.1770859602838755e-03</internalNodes>
-          <leafValues>
-            6.2653936445713043e-02 -3.4369219094514847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2695 -1.1601459980010986e-01</internalNodes>
-          <leafValues>
-            -1.2724180519580841e-01 3.5242829471826553e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2696 3.9402980357408524e-02</internalNodes>
-          <leafValues>
-            -1.7962940037250519e-02 8.2134842872619629e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2697 3.1257659196853638e-02</internalNodes>
-          <leafValues>
-            -4.9964789301156998e-02 1.0353790223598480e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2698 2.6839839294552803e-02</internalNodes>
-          <leafValues>
-            -3.4829258918762207e-02 7.7249996364116669e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2699 6.1816979199647903e-02</internalNodes>
-          <leafValues>
-            -3.2788280397653580e-02 1.3600580394268036e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2700 6.3738808035850525e-02</internalNodes>
-          <leafValues>
-            1.5652630478143692e-02 -1.4570459723472595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2701 -3.6892290227115154e-03</internalNodes>
-          <leafValues>
-            -1.3121150434017181e-01 3.6355018615722656e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2702 -8.2587070763111115e-02</internalNodes>
-          <leafValues>
-            -1.7447319626808167e-01 5.7495138607919216e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2703 5.6636601686477661e-02</internalNodes>
-          <leafValues>
-            -1.0941830463707447e-02 4.2631658911705017e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2704 -6.5044318325817585e-03</internalNodes>
-          <leafValues>
-            7.4859157204627991e-02 -3.5383179783821106e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2705 -2.3780569434165955e-02</internalNodes>
-          <leafValues>
-            -1.5401679277420044e-01 3.0552649870514870e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2706 2.8647059574723244e-02</internalNodes>
-          <leafValues>
-            4.9762979149818420e-02 -4.5181389898061752e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2707 -5.7239918969571590e-03</internalNodes>
-          <leafValues>
-            1.3393920660018921e-01 -3.6599840968847275e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2708 -1.8808670341968536e-01</internalNodes>
-          <leafValues>
-            -8.2748666405677795e-02 1.3201599940657616e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2709 -1.5791060402989388e-02</internalNodes>
-          <leafValues>
-            1.6398489475250244e-01 -2.7588550001382828e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2710 9.5513111352920532e-01</internalNodes>
-          <leafValues>
-            -2.2177249193191528e-03 3.4002560377120972e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2711 6.9580972194671631e-01</internalNodes>
-          <leafValues>
-            -1.0847539640963078e-02 4.2184200882911682e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2712 -2.2638689726591110e-02</internalNodes>
-          <leafValues>
-            -6.9218701124191284e-01 1.8343270057812333e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2713 2.4945749901235104e-03</internalNodes>
-          <leafValues>
-            3.4244280308485031e-02 -1.2839129567146301e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2714 1.1748660355806351e-02</internalNodes>
-          <leafValues>
-            -1.3351519592106342e-02 1.3926979899406433e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2715 -9.7356218611821532e-04</internalNodes>
-          <leafValues>
-            1.0277090221643448e-01 -5.4498881101608276e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2716 -2.5124179199337959e-02</internalNodes>
-          <leafValues>
-            -1.2226320058107376e-01 2.4546569213271141e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2717 -2.9109479859471321e-02</internalNodes>
-          <leafValues>
-            -1.3387270271778107e-01 3.4804411232471466e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2718 -2.5209460407495499e-02</internalNodes>
-          <leafValues>
-            1.5426969528198242e-01 -2.9093060642480850e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2719 2.8921720513608307e-05</internalNodes>
-          <leafValues>
-            -8.7873406708240509e-02 5.0044890493154526e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2720 1.5944410115480423e-03</internalNodes>
-          <leafValues>
-            -2.1487699821591377e-02 3.3794458955526352e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2721 -2.4497460108250380e-03</internalNodes>
-          <leafValues>
-            9.3932069838047028e-02 -4.6001140028238297e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2722 1.0740390047430992e-02</internalNodes>
-          <leafValues>
-            4.5302681624889374e-02 -9.2800490558147430e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2723 3.4238519147038460e-03</internalNodes>
-          <leafValues>
-            -6.3131660223007202e-02 7.8274093568325043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2724 1.2687790207564831e-02</internalNodes>
-          <leafValues>
-            -1.4953400008380413e-02 2.3682670295238495e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2725 -7.3656099848449230e-03</internalNodes>
-          <leafValues>
-            -1.9476279616355896e-01 2.4360220879316330e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2726 1.0200890153646469e-01</internalNodes>
-          <leafValues>
-            4.0122540667653084e-03 -5.3724962472915649e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2727 -2.6625579223036766e-02</internalNodes>
-          <leafValues>
-            1.7184010148048401e-01 -2.5444649159908295e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2728 -2.9014078900218010e-03</internalNodes>
-          <leafValues>
-            -3.6081880331039429e-01 8.7030120193958282e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2729 -1.4157840269035660e-05</internalNodes>
-          <leafValues>
-            6.8706989288330078e-02 -6.4286127686500549e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2730 -6.1351951444521546e-04</internalNodes>
-          <leafValues>
-            -6.6050916910171509e-02 2.2572780027985573e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2731 2.0250449888408184e-03</internalNodes>
-          <leafValues>
-            -1.9751559942960739e-02 2.2373759746551514e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2732 4.2518540285527706e-03</internalNodes>
-          <leafValues>
-            2.3174580186605453e-02 -7.0114336907863617e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2733 -2.1689679473638535e-02</internalNodes>
-          <leafValues>
-            -5.1939392089843750e-01 8.3778435364365578e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2734 -1.4693619959871285e-05</internalNodes>
-          <leafValues>
-            4.3421141803264618e-02 -4.3481610715389252e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2735 -1.1886609718203545e-03</internalNodes>
-          <leafValues>
-            -1.4900510013103485e-01 2.8446840122342110e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2736 -2.3027509450912476e-03</internalNodes>
-          <leafValues>
-            3.8527239114046097e-02 -4.0906090289354324e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2737 -1.2595600448548794e-02</internalNodes>
-          <leafValues>
-            1.0461640357971191e-01 -3.8185920566320419e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2738 -6.2729697674512863e-03</internalNodes>
-          <leafValues>
-            9.3321256339550018e-02 -4.8175711184740067e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2739 -4.6335258521139622e-03</internalNodes>
-          <leafValues>
-            -1.3342230021953583e-01 3.1944058835506439e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2740 -9.7669087350368500e-02</internalNodes>
-          <leafValues>
-            -4.1564458608627319e-01 4.0813097730278969e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2741 -1.0522989928722382e-01</internalNodes>
-          <leafValues>
-            -4.2108398675918579e-01 9.7584994509816170e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2742 3.0224110931158066e-02</internalNodes>
-          <leafValues>
-            1.7810890451073647e-02 -1.8008120357990265e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2743 -4.4741849415004253e-03</internalNodes>
-          <leafValues>
-            1.7108829319477081e-01 -2.5597169995307922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2744 -1.4250929780246224e-05</internalNodes>
-          <leafValues>
-            3.8947280496358871e-02 -4.8989661037921906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2745 -1.3952420093119144e-02</internalNodes>
-          <leafValues>
-            -2.8586119413375854e-01 1.4210299588739872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2746 -5.9520517243072391e-04</internalNodes>
-          <leafValues>
-            2.8458939865231514e-02 -4.8770058900117874e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2747 1.2668339535593987e-02</internalNodes>
-          <leafValues>
-            -1.9914640113711357e-02 2.2914430499076843e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2748 -6.5630413591861725e-02</internalNodes>
-          <leafValues>
-            9.5949631929397583e-01 -8.1838190089911222e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2749 5.1044370047748089e-04</internalNodes>
-          <leafValues>
-            -6.2212668359279633e-02 6.8753853440284729e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2750 8.2773733884096146e-03</internalNodes>
-          <leafValues>
-            7.8722098842263222e-03 -5.2360677719116211e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2751 -1.3714290224015713e-02</internalNodes>
-          <leafValues>
-            2.9130959510803223e-01 -1.6186399385333061e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2752 -1.6599230002611876e-03</internalNodes>
-          <leafValues>
-            -1.8650990724563599e-01 2.1775769069790840e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2753 1.3917240314185619e-02</internalNodes>
-          <leafValues>
-            -5.4833069443702698e-02 7.5145483016967773e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2754 -1.4104699715971947e-02</internalNodes>
-          <leafValues>
-            -1.2660549581050873e-01 3.9071101695299149e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2755 -2.6598859578371048e-02</internalNodes>
-          <leafValues>
-            9.9623836576938629e-02 -4.5457080006599426e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2756 -5.3842482157051563e-04</internalNodes>
-          <leafValues>
-            -8.2026347517967224e-02 2.7188310399651527e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2757 1.4044049748918042e-05</internalNodes>
-          <leafValues>
-            -6.2360528856515884e-02 6.7301332950592041e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2758 -3.9561990648508072e-02</internalNodes>
-          <leafValues>
-            -4.8174971342086792e-01 4.6106358058750629e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2759 1.0853289859369397e-03</internalNodes>
-          <leafValues>
-            2.6313990354537964e-02 -1.5306760370731354e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2760 -1.9153479486703873e-02</internalNodes>
-          <leafValues>
-            1.8400320410728455e-01 -9.7944093868136406e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2761 3.0306449159979820e-02</internalNodes>
-          <leafValues>
-            -1.0793870314955711e-02 3.9886739850044250e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2762 1.6124650137498975e-03</internalNodes>
-          <leafValues>
-            -1.1791810393333435e-02 1.2058059871196747e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2763 1.2632669880986214e-02</internalNodes>
-          <leafValues>
-            9.2375585809350014e-03 -4.2379188537597656e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2764 -4.3210129661019892e-05</internalNodes>
-          <leafValues>
-            5.3656429052352905e-02 -4.3450549244880676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2765 1.4556180394720286e-04</internalNodes>
-          <leafValues>
-            -5.0275009125471115e-02 7.6121151447296143e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2766 1.4344939700094983e-05</internalNodes>
-          <leafValues>
-            -5.1202371716499329e-02 5.5829189717769623e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2767 -7.3230598354712129e-04</internalNodes>
-          <leafValues>
-            1.3922749459743500e-01 -3.2454621046781540e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2768 1.1387620121240616e-02</internalNodes>
-          <leafValues>
-            -6.2937070615589619e-03 1.8512730300426483e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2769 -2.5180529337376356e-03</internalNodes>
-          <leafValues>
-            -1.3749399781227112e-01 3.2907929271459579e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2770 5.1528509706258774e-02</internalNodes>
-          <leafValues>
-            -1.1617249809205532e-02 1.0777329653501511e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2771 -2.5644950568675995e-02</internalNodes>
-          <leafValues>
-            1.2324140220880508e-01 -3.5101208835840225e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2772 1.6199030214920640e-03</internalNodes>
-          <leafValues>
-            3.3527150750160217e-02 -1.3585910201072693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2773 -1.8191960407420993e-03</internalNodes>
-          <leafValues>
-            -1.6489550471305847e-01 3.0319610610604286e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2774 -3.1801960431039333e-03</internalNodes>
-          <leafValues>
-            1.1684840172529221e-01 -1.8739059567451477e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2775 9.2808151384815574e-04</internalNodes>
-          <leafValues>
-            3.8395769894123077e-02 -1.1520709842443466e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2776 -4.1049402207136154e-03</internalNodes>
-          <leafValues>
-            4.4779919087886810e-02 -2.7737030759453773e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2777 6.7887702025473118e-03</internalNodes>
-          <leafValues>
-            -4.8911478370428085e-02 9.7002588212490082e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2778 -4.7330660745501518e-03</internalNodes>
-          <leafValues>
-            -9.3821138143539429e-02 2.7040770277380943e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2779 -2.1507510915398598e-02</internalNodes>
-          <leafValues>
-            1.4032480120658875e-01 -3.1963579356670380e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2780 5.0437378883361816e-01</internalNodes>
-          <leafValues>
-            8.9663412654772401e-04 -1.0000989437103271e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2781 -2.8804481029510498e-01</internalNodes>
-          <leafValues>
-            -3.1754299998283386e-01 1.2626879848539829e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2782 -5.2623480558395386e-02</internalNodes>
-          <leafValues>
-            8.1666037440299988e-02 -1.2998109683394432e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2783 4.1319038718938828e-03</internalNodes>
-          <leafValues>
-            -7.2914630174636841e-02 7.3860652744770050e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2784 3.5127711016684771e-03</internalNodes>
-          <leafValues>
-            2.1715799346566200e-02 -9.8766706883907318e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2785 -6.7080818116664886e-03</internalNodes>
-          <leafValues>
-            -2.4903470277786255e-01 2.0480340346693993e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2786 -1.3876140117645264e-02</internalNodes>
-          <leafValues>
-            7.2459720075130463e-02 -1.1381589807569981e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2787 3.6984090693295002e-03</internalNodes>
-          <leafValues>
-            -5.0353258848190308e-02 1.0232850164175034e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2788 -5.5892078671604395e-04</internalNodes>
-          <leafValues>
-            5.5168900638818741e-02 -2.3259639739990234e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2789 1.9318210252095014e-04</internalNodes>
-          <leafValues>
-            -5.3024489432573318e-02 8.0820031464099884e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2790 5.4443400353193283e-02</internalNodes>
-          <leafValues>
-            1.9684119615703821e-03 -4.9336650967597961e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2791 5.7882429100573063e-03</internalNodes>
-          <leafValues>
-            4.2235270142555237e-02 -9.3656897544860840e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2792 -5.3214468061923981e-04</internalNodes>
-          <leafValues>
-            -6.8211279809474945e-02 4.0915060788393021e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2793 -1.5291050076484680e-03</internalNodes>
-          <leafValues>
-            1.3078080117702484e-01 -3.1037170439958572e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2794 1.4692340300825890e-05</internalNodes>
-          <leafValues>
-            -9.7166307270526886e-02 5.8675400912761688e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2795 8.1570359179750085e-04</internalNodes>
-          <leafValues>
-            -5.2740119397640228e-02 8.4838531911373138e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2796 8.3234731573611498e-04</internalNodes>
-          <leafValues>
-            -4.5831769704818726e-02 6.0256149619817734e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2797 -1.8306729616597295e-03</internalNodes>
-          <leafValues>
-            -2.7214428782463074e-01 1.8664810806512833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2798 1.6016690060496330e-03</internalNodes>
-          <leafValues>
-            -2.3981889709830284e-02 1.5741920471191406e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2799 1.5611300477758050e-03</internalNodes>
-          <leafValues>
-            4.9081899225711823e-02 -9.3477390706539154e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2800 -5.3921141661703587e-03</internalNodes>
-          <leafValues>
-            8.7293423712253571e-02 -3.9956189692020416e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2801 1.6652110498398542e-03</internalNodes>
-          <leafValues>
-            -5.1185470074415207e-02 7.7633060514926910e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2802 -1.2331049656495452e-03</internalNodes>
-          <leafValues>
-            -7.4288368225097656e-02 2.3193370550870895e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2803 5.6793959811329842e-04</internalNodes>
-          <leafValues>
-            -6.6756121814250946e-02 8.2881033420562744e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2804 1.5132910339161754e-03</internalNodes>
-          <leafValues>
-            2.0081700757145882e-02 -7.6579719781875610e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2805 -1.0698379483073950e-03</internalNodes>
-          <leafValues>
-            -1.3229699432849884e-01 4.2196661233901978e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2806 -1.7369719222187996e-02</internalNodes>
-          <leafValues>
-            2.7938818931579590e-01 -1.5034230425953865e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2807 -9.2626689001917839e-03</internalNodes>
-          <leafValues>
-            -2.2753229737281799e-01 1.9179979339241982e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2808 1.8482010811567307e-02</internalNodes>
-          <leafValues>
-            -1.4924430288374424e-02 3.1277260184288025e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2809 -1.4998589642345905e-02</internalNodes>
-          <leafValues>
-            2.6199528574943542e-01 -1.5377020463347435e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2810 6.5004371572285891e-04</internalNodes>
-          <leafValues>
-            2.4507129564881325e-02 -1.6830539703369141e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2811 -2.5195319205522537e-02</internalNodes>
-          <leafValues>
-            -5.9329587221145630e-01 6.0378611087799072e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2812 8.1507470458745956e-03</internalNodes>
-          <leafValues>
-            -1.5775049105286598e-02 1.2555959820747375e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2813 4.5397952198982239e-03</internalNodes>
-          <leafValues>
-            7.2475941851735115e-03 -5.6123107671737671e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2814 2.8840870072599500e-05</internalNodes>
-          <leafValues>
-            -6.5030217170715332e-02 5.5643379688262939e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2815 -4.3392801284790039e-01</internalNodes>
-          <leafValues>
-            -5.7634198665618896e-01 7.1343099698424339e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2816 -2.1952809765934944e-03</internalNodes>
-          <leafValues>
-            4.5806728303432465e-02 -2.1312480792403221e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2817 -1.1394290486350656e-03</internalNodes>
-          <leafValues>
-            1.4237360656261444e-01 -2.5946369394659996e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2818 3.0147060751914978e-03</internalNodes>
-          <leafValues>
-            1.7312619835138321e-02 -3.8250389695167542e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2819 1.5648039698135108e-04</internalNodes>
-          <leafValues>
-            3.9767131209373474e-02 -9.9703207612037659e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2820 1.0532010346651077e-03</internalNodes>
-          <leafValues>
-            -1.5648569911718369e-02 9.7645491361618042e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2821 -7.9741291701793671e-03</internalNodes>
-          <leafValues>
-            1.8544709682464600e-01 -2.2098619490861893e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2822 -4.7134719789028168e-03</internalNodes>
-          <leafValues>
-            -9.1619712114334106e-01 3.6266651004552841e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2823 1.4999460428953171e-02</internalNodes>
-          <leafValues>
-            -9.6984812989830971e-03 5.0326949357986450e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2824 2.7833459898829460e-03</internalNodes>
-          <leafValues>
-            4.8701078630983829e-03 -2.6087599992752075e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2825 2.1982809994369745e-04</internalNodes>
-          <leafValues>
-            3.7642948329448700e-02 -1.1638490110635757e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2826 -5.5281631648540497e-04</internalNodes>
-          <leafValues>
-            5.3662311285734177e-02 -1.8457710742950439e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2827 8.1757438601925969e-04</internalNodes>
-          <leafValues>
-            -3.0396200716495514e-02 1.4339430630207062e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2828 -5.7877011597156525e-02</internalNodes>
-          <leafValues>
-            -5.6250417232513428e-01 3.0934759415686131e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2829 -4.4983409345149994e-02</internalNodes>
-          <leafValues>
-            -8.4331500530242920e-01 4.5743319205939770e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2830 -1.6125569818541408e-03</internalNodes>
-          <leafValues>
-            -1.6456800699234009e-01 2.5509359315037727e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2831 7.2911148890852928e-03</internalNodes>
-          <leafValues>
-            -4.7056321054697037e-02 8.0835387110710144e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2832 1.7726710066199303e-03</internalNodes>
-          <leafValues>
-            3.7935160100460052e-02 -6.6936686635017395e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2833 -8.0677121877670288e-03</internalNodes>
-          <leafValues>
-            -1.9031119346618652e-01 2.4777170270681381e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2834 -7.9460779670625925e-04</internalNodes>
-          <leafValues>
-            8.6663946509361267e-02 -3.5398159176111221e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2835 -1.4300229850050528e-05</internalNodes>
-          <leafValues>
-            6.0487300157546997e-02 -6.5558813512325287e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2836 2.0962581038475037e-03</internalNodes>
-          <leafValues>
-            -2.0192330703139305e-02 1.3147759437561035e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2837 5.0030398415401578e-04</internalNodes>
-          <leafValues>
-            3.4723591059446335e-02 -1.1322329938411713e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2838 2.0867818966507912e-03</internalNodes>
-          <leafValues>
-            -1.3874029740691185e-02 6.8921387195587158e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2839 3.3986899070441723e-03</internalNodes>
-          <leafValues>
-            -1.8986670300364494e-02 2.0400190353393555e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2840 1.1253410018980503e-02</internalNodes>
-          <leafValues>
-            2.2273620124906301e-03 -9.2255651950836182e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2841 -1.2344319839030504e-03</internalNodes>
-          <leafValues>
-            -1.2524029612541199e-01 3.1339269131422043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2842 1.6126739792525768e-03</internalNodes>
-          <leafValues>
-            -1.5665169805288315e-02 8.4837719798088074e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2843 -5.2141858031973243e-04</internalNodes>
-          <leafValues>
-            9.5479287207126617e-02 -4.7874130308628082e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2844 3.8721379823982716e-03</internalNodes>
-          <leafValues>
-            5.4993298836052418e-03 -4.4602560997009277e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2845 1.7618340253829956e-01</internalNodes>
-          <leafValues>
-            -4.1341241449117661e-02 1.0009519755840302e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2846 -1.0830520186573267e-03</internalNodes>
-          <leafValues>
-            6.8640246987342834e-02 -4.4131200760602951e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2847 1.0719549609348178e-03</internalNodes>
-          <leafValues>
-            3.9141189306974411e-02 -1.0489390045404434e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2848 9.4975891988724470e-04</internalNodes>
-          <leafValues>
-            3.6073371767997742e-02 -1.2237410247325897e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2849 -9.6825882792472839e-03</internalNodes>
-          <leafValues>
-            2.1743309497833252e-01 -1.9503809511661530e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2850 2.9981420375406742e-03</internalNodes>
-          <leafValues>
-            -1.1931939981877804e-02 9.4061717391014099e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2851 3.3787859138101339e-03</internalNodes>
-          <leafValues>
-            3.8003969937562943e-02 -1.1360760033130646e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2852 -2.6151719503104687e-03</internalNodes>
-          <leafValues>
-            1.5477259457111359e-01 -2.9518639668822289e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2853 -1.1613050010055304e-03</internalNodes>
-          <leafValues>
-            -2.0248539745807648e-01 2.0097140222787857e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2854 -1.6141240485012531e-03</internalNodes>
-          <leafValues>
-            -1.0936950147151947e-01 2.9148740693926811e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2855 -2.1682349033653736e-03</internalNodes>
-          <leafValues>
-            1.3386780023574829e-01 -2.9886990785598755e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2856 2.1131899207830429e-02</internalNodes>
-          <leafValues>
-            4.5307017862796783e-03 -5.3612178564071655e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2857 1.6037460591178387e-04</internalNodes>
-          <leafValues>
-            4.3597098439931870e-02 -8.4111146628856659e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2858 -9.3009177362546325e-04</internalNodes>
-          <leafValues>
-            9.5719091594219208e-02 -3.5718031227588654e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2859 -8.7824072688817978e-03</internalNodes>
-          <leafValues>
-            -3.6118468642234802e-01 1.0629709810018539e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2860 5.3067589178681374e-03</internalNodes>
-          <leafValues>
-            -8.9432783424854279e-03 1.5807029604911804e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2861 4.6785878948867321e-03</internalNodes>
-          <leafValues>
-            -1.6060940921306610e-02 2.4921239912509918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2862 6.7471889778971672e-03</internalNodes>
-          <leafValues>
-            -3.2983239740133286e-02 6.1737928539514542e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2863 -4.1250120848417282e-03</internalNodes>
-          <leafValues>
-            -1.3271600008010864e-01 3.0833190307021141e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2864 6.8065262166783214e-04</internalNodes>
-          <leafValues>
-            2.5545250624418259e-02 -1.0341659933328629e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2865 2.1838350221514702e-03</internalNodes>
-          <leafValues>
-            -2.5376550853252411e-02 1.5284040570259094e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2866 -8.2007780671119690e-02</internalNodes>
-          <leafValues>
-            -6.8529888987541199e-02 3.8178220391273499e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2867 5.4427138529717922e-03</internalNodes>
-          <leafValues>
-            4.2902021668851376e-03 -8.7351191043853760e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2868 5.6404271163046360e-04</internalNodes>
-          <leafValues>
-            3.5445190966129303e-02 -8.5448153316974640e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2869 -4.0039150044322014e-03</internalNodes>
-          <leafValues>
-            -2.2544440627098083e-01 1.6658950597047806e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2870 7.1750470669940114e-04</internalNodes>
-          <leafValues>
-            -3.5013999789953232e-02 8.5731953382492065e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2871 2.1980039309710264e-03</internalNodes>
-          <leafValues>
-            -3.5395350307226181e-02 1.0176719725131989e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2872 -6.0970097547397017e-04</internalNodes>
-          <leafValues>
-            6.0024809092283249e-02 -8.4693066775798798e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2873 5.7354441378265619e-04</internalNodes>
-          <leafValues>
-            -5.5539701133966446e-02 8.1733368337154388e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2874 1.1020589619874954e-02</internalNodes>
-          <leafValues>
-            4.4961579144001007e-02 -1.0106059908866882e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2875 3.2966160215437412e-03</internalNodes>
-          <leafValues>
-            -5.1389090716838837e-02 8.1389263272285461e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2876 -2.0174959208816290e-03</internalNodes>
-          <leafValues>
-            4.0528461337089539e-02 -3.2342150807380676e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2877 -4.8243958735838532e-04</internalNodes>
-          <leafValues>
-            -1.1752799898386002e-01 3.4329470247030258e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2878 -3.7981800734996796e-02</internalNodes>
-          <leafValues>
-            2.0706389844417572e-01 -9.8644997924566269e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2879 -6.9430111907422543e-03</internalNodes>
-          <leafValues>
-            3.3689939975738525e-01 -1.1807870119810104e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2880 -4.8804618418216705e-03</internalNodes>
-          <leafValues>
-            -4.1485041379928589e-01 8.2202637568116188e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2881 1.4070210454519838e-05</internalNodes>
-          <leafValues>
-            -5.6398481130599976e-02 6.8512678146362305e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2882 -2.7632080018520355e-02</internalNodes>
-          <leafValues>
-            -5.7075572013854980e-01 6.3934479840099812e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2883 6.5936171449720860e-04</internalNodes>
-          <leafValues>
-            3.2117888331413269e-02 -1.1347310245037079e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2884 5.0442051142454147e-02</internalNodes>
-          <leafValues>
-            3.5058089997619390e-03 -2.4307049810886383e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2885 -3.5251879598945379e-03</internalNodes>
-          <leafValues>
-            7.3516011238098145e-02 -5.0434000790119171e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2886 -9.8136421293020248e-03</internalNodes>
-          <leafValues>
-            6.6950842738151550e-02 -3.7114970386028290e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2887 7.7288062311708927e-03</internalNodes>
-          <leafValues>
-            -3.3462271094322205e-02 1.4445079863071442e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2888 -6.5115757752209902e-04</internalNodes>
-          <leafValues>
-            4.9658838659524918e-02 -3.3331710845232010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2889 -7.3544832412153482e-04</internalNodes>
-          <leafValues>
-            -1.6646279394626617e-01 3.0607059597969055e-02</leafValues></_></weakClassifiers></_>
-    <_>
-      <maxWeakCount>334</maxWeakCount>
-      <stageThreshold>-7.7826201915740967e-01</stageThreshold>
-      <weakClassifiers>
-        <_>
-          <internalNodes>
-            0 -1 2890 -6.5500719938427210e-04</internalNodes>
-          <leafValues>
-            1.0611940175294876e-01 -1.8115450441837311e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2891 -1.9778949208557606e-03</internalNodes>
-          <leafValues>
-            1.3503830134868622e-01 -4.6880759298801422e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2892 5.9389008674770594e-04</internalNodes>
-          <leafValues>
-            -8.4648221731185913e-02 1.2404429912567139e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2893 1.0614610509946942e-03</internalNodes>
-          <leafValues>
-            -5.9560459107160568e-02 1.8259480595588684e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2894 2.7606791257858276e-01</internalNodes>
-          <leafValues>
-            6.2563497340306640e-04 -2.1944240234375000e+04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2895 -2.9046900453977287e-04</internalNodes>
-          <leafValues>
-            7.4143633246421814e-02 -1.1948379874229431e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2896 1.1933119967579842e-02</internalNodes>
-          <leafValues>
-            -1.3460500165820122e-02 2.7524510025978088e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2897 1.0096719861030579e-01</internalNodes>
-          <leafValues>
-            -5.6561990641057491e-03 -2.4996870040893555e+01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2898 -1.5156090259552002e-02</internalNodes>
-          <leafValues>
-            1.4056429266929626e-01 -4.4841770082712173e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2899 -1.5076439594849944e-03</internalNodes>
-          <leafValues>
-            -1.7628009617328644e-01 3.8193639367818832e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2900 -1.9093969604000449e-03</internalNodes>
-          <leafValues>
-            1.1207529902458191e-01 -4.8806078732013702e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2901 3.5581018892116845e-04</internalNodes>
-          <leafValues>
-            5.0305519253015518e-02 -1.2028399854898453e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2902 1.2928070500493050e-03</internalNodes>
-          <leafValues>
-            -6.7517459392547607e-02 8.5675567388534546e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2903 -1.1862709652632475e-03</internalNodes>
-          <leafValues>
-            -7.1755349636077881e-02 2.9050039127469063e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2904 2.9675700716325082e-05</internalNodes>
-          <leafValues>
-            -9.7550496459007263e-02 5.5263109505176544e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2905 -5.1812059246003628e-04</internalNodes>
-          <leafValues>
-            1.3014769554138184e-01 -4.0146790444850922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2906 -2.4787770234979689e-04</internalNodes>
-          <leafValues>
-            -1.2997619807720184e-01 4.5160390436649323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2907 5.0375860882923007e-04</internalNodes>
-          <leafValues>
-            2.5243489071726799e-02 -1.1178129911422729e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2908 6.3750747358426452e-04</internalNodes>
-          <leafValues>
-            -5.1844630390405655e-02 1.1380760371685028e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2909 -5.5010168580338359e-04</internalNodes>
-          <leafValues>
-            -1.5109330415725708e-01 3.0021730810403824e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2910 2.0001670054625720e-04</internalNodes>
-          <leafValues>
-            4.6603560447692871e-02 -1.2110610306262970e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2911 -1.2848580256104469e-02</internalNodes>
-          <leafValues>
-            1.4400559663772583e-01 -2.4580590426921844e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2912 8.7248822674155235e-03</internalNodes>
-          <leafValues>
-            -3.0027579516172409e-02 1.8809199333190918e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2913 9.0796118602156639e-03</internalNodes>
-          <leafValues>
-            8.9979087933897972e-03 -2.1755939722061157e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2914 -6.0907658189535141e-03</internalNodes>
-          <leafValues>
-            -2.4176609516143799e-01 2.0848300307989120e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2915 -2.0602690055966377e-02</internalNodes>
-          <leafValues>
-            1.4985099434852600e-01 -2.2443689405918121e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2916 2.1011219359934330e-04</internalNodes>
-          <leafValues>
-            5.8400630950927734e-02 -8.2507818937301636e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2917 7.6200407929718494e-03</internalNodes>
-          <leafValues>
-            -4.6605788171291351e-02 1.1164589971303940e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2918 1.3028680346906185e-02</internalNodes>
-          <leafValues>
-            1.1367970146238804e-02 -4.4878101348876953e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2919 3.9239479228854179e-03</internalNodes>
-          <leafValues>
-            -1.7383949831128120e-02 1.8231689929962158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2920 -1.3659669784829021e-03</internalNodes>
-          <leafValues>
-            1.7153720557689667e-01 -2.8898969292640686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2921 -1.4295619621407241e-05</internalNodes>
-          <leafValues>
-            3.6472570151090622e-02 -5.7127911597490311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2922 -1.4978270046412945e-03</internalNodes>
-          <leafValues>
-            -1.0584619641304016e-01 5.2903588861227036e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2923 7.7579449862241745e-04</internalNodes>
-          <leafValues>
-            -3.2008528709411621e-02 1.6330100595951080e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2924 -5.3715571993961930e-04</internalNodes>
-          <leafValues>
-            1.0312590003013611e-01 -5.1378048956394196e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2925 -1.8734990153461695e-03</internalNodes>
-          <leafValues>
-            -1.0094600170850754e-01 3.1621370464563370e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2926 -2.7301919180899858e-03</internalNodes>
-          <leafValues>
-            -1.8882660567760468e-01 2.5445640087127686e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2927 -2.7519989758729935e-02</internalNodes>
-          <leafValues>
-            2.0207390189170837e-01 -8.7642138823866844e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2928 -5.7156491093337536e-03</internalNodes>
-          <leafValues>
-            -1.4730660617351532e-01 3.8653228431940079e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2929 -3.8841580972075462e-03</internalNodes>
-          <leafValues>
-            1.9324040412902832e-01 -3.3158119767904282e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2930 -2.9681410524062812e-04</internalNodes>
-          <leafValues>
-            7.0978216826915741e-02 -8.3440601825714111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2931 -7.3247430846095085e-03</internalNodes>
-          <leafValues>
-            9.9289767444133759e-02 -7.1985991671681404e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2932 4.0174159221351147e-03</internalNodes>
-          <leafValues>
-            2.3349240422248840e-02 -2.0595629513263702e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2933 3.0161300674080849e-03</internalNodes>
-          <leafValues>
-            -1.1856850236654282e-02 7.5035043060779572e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2934 -6.0926907462999225e-04</internalNodes>
-          <leafValues>
-            6.6941566765308380e-02 -7.4088506400585175e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2935 -2.8288490138947964e-03</internalNodes>
-          <leafValues>
-            -8.4346950054168701e-02 2.0641390234231949e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2936 1.5945710241794586e-02</internalNodes>
-          <leafValues>
-            1.8828209489583969e-02 -2.5902500748634338e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2937 -6.2250817427411675e-04</internalNodes>
-          <leafValues>
-            8.3537682890892029e-02 -4.3164398521184921e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2938 9.3902602791786194e-02</internalNodes>
-          <leafValues>
-            -2.8874060139060020e-02 1.4930969476699829e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2939 4.2735088616609573e-02</internalNodes>
-          <leafValues>
-            -2.1169420331716537e-02 1.8162199854850769e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2940 2.3074240016285330e-04</internalNodes>
-          <leafValues>
-            3.7333559244871140e-02 -1.1767379939556122e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2941 1.4175169781083241e-05</internalNodes>
-          <leafValues>
-            -3.7760701030492783e-02 4.1684981435537338e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2942 -4.4660810381174088e-03</internalNodes>
-          <leafValues>
-            -2.0308449864387512e-01 2.1115880459547043e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2943 1.2269329745322466e-03</internalNodes>
-          <leafValues>
-            -3.2496001571416855e-02 3.2794348895549774e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2944 3.9916601032018661e-02</internalNodes>
-          <leafValues>
-            -2.5608949363231659e-02 1.9469550251960754e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2945 -7.3776850476861000e-03</internalNodes>
-          <leafValues>
-            8.0924406647682190e-02 -4.2932409793138504e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2946 2.3230710066854954e-03</internalNodes>
-          <leafValues>
-            2.0082749426364899e-02 -2.2169919312000275e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2947 5.5887812050059438e-04</internalNodes>
-          <leafValues>
-            -4.9321770668029785e-02 1.3549089431762695e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2948 1.4422759704757482e-05</internalNodes>
-          <leafValues>
-            -6.2462970614433289e-02 7.0136800408363342e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2949 -9.0111764147877693e-03</internalNodes>
-          <leafValues>
-            -1.1790829896926880e-01 1.3764100149273872e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2950 -2.5969429407268763e-03</internalNodes>
-          <leafValues>
-            8.5311427712440491e-02 -5.3704299032688141e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2951 4.2405598796904087e-03</internalNodes>
-          <leafValues>
-            -3.4656058996915817e-02 7.6122537255287170e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2952 -2.8519309125840664e-04</internalNodes>
-          <leafValues>
-            6.7123286426067352e-02 -7.1620211005210876e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2953 -9.1536442050710320e-04</internalNodes>
-          <leafValues>
-            -1.0286690294742584e-01 4.6275518834590912e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2954 8.9915059506893158e-03</internalNodes>
-          <leafValues>
-            2.1047739312052727e-02 -2.0345629751682281e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2955 -2.3468779399991035e-03</internalNodes>
-          <leafValues>
-            6.1836708337068558e-02 -2.7794880792498589e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2956 7.8483502147719264e-04</internalNodes>
-          <leafValues>
-            -5.6725129485130310e-02 8.2626231014728546e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2957 -4.2987228371202946e-03</internalNodes>
-          <leafValues>
-            -4.6485468745231628e-01 1.2136589735746384e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2958 3.7865751073695719e-04</internalNodes>
-          <leafValues>
-            -5.7894710451364517e-02 7.8972049057483673e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2959 -1.8922489834949374e-04</internalNodes>
-          <leafValues>
-            -4.8778239637613297e-02 2.8404900804162025e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2960 1.4289650134742260e-03</internalNodes>
-          <leafValues>
-            -5.4618939757347107e-02 7.4633039534091949e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2961 -6.3519232207909226e-04</internalNodes>
-          <leafValues>
-            -1.2235110253095627e-01 2.2536490112543106e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2962 -1.3744450407102704e-03</internalNodes>
-          <leafValues>
-            8.7468042969703674e-02 -4.6227011829614639e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2963 8.3811202785000205e-04</internalNodes>
-          <leafValues>
-            -5.3081158548593521e-02 6.6298030316829681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2964 -4.7142491675913334e-03</internalNodes>
-          <leafValues>
-            -1.4428180456161499e-01 3.1851839274168015e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2965 3.5760139580816031e-03</internalNodes>
-          <leafValues>
-            -5.4558500647544861e-02 7.7983260154724121e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2966 1.3958959840238094e-02</internalNodes>
-          <leafValues>
-            -4.3213408440351486e-02 1.0227949917316437e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2967 1.4338699656946119e-05</internalNodes>
-          <leafValues>
-            -5.6758139282464981e-02 5.9547949582338333e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2968 -1.0628110030665994e-03</internalNodes>
-          <leafValues>
-            -1.6489389538764954e-01 2.7261860668659210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2969 1.0051510296761990e-02</internalNodes>
-          <leafValues>
-            -9.7075058147311211e-03 1.9438129663467407e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2970 -1.1699779424816370e-03</internalNodes>
-          <leafValues>
-            8.6702376604080200e-02 -5.1672320812940598e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2971 -3.3962219953536987e-02</internalNodes>
-          <leafValues>
-            -2.3889440298080444e-01 9.8034106194972992e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2972 3.5306809004396200e-03</internalNodes>
-          <leafValues>
-            -2.0434120669960976e-02 2.0758320391178131e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2973 -7.7752848155796528e-03</internalNodes>
-          <leafValues>
-            -1.5383580327033997e-01 2.4621009826660156e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2974 1.8700800137594342e-03</internalNodes>
-          <leafValues>
-            3.6134559661149979e-02 -1.3638550043106079e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2975 2.8848159126937389e-03</internalNodes>
-          <leafValues>
-            -1.8914660438895226e-02 1.8570280075073242e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2976 -1.9861269742250443e-02</internalNodes>
-          <leafValues>
-            3.6918470263481140e-01 -1.1665159836411476e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2977 -2.7482518926262856e-03</internalNodes>
-          <leafValues>
-            -2.1028390526771545e-01 2.3893959820270538e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2978 -2.7001290582120419e-03</internalNodes>
-          <leafValues>
-            2.0786289870738983e-01 -2.1798720583319664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2979 -4.5068548060953617e-03</internalNodes>
-          <leafValues>
-            -8.6702600121498108e-02 4.8602908849716187e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2980 2.4951489642262459e-02</internalNodes>
-          <leafValues>
-            -1.5552300028502941e-02 2.7785879373550415e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2981 1.2935699487570673e-04</internalNodes>
-          <leafValues>
-            -7.3888942599296570e-02 4.8402789980173111e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2982 9.3646477907896042e-03</internalNodes>
-          <leafValues>
-            -2.5281939655542374e-02 1.8370600044727325e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2983 8.4151826798915863e-02</internalNodes>
-          <leafValues>
-            1.0824269615113735e-02 -1.9552649557590485e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2984 1.1270279996097088e-02</internalNodes>
-          <leafValues>
-            1.0561659932136536e-02 -3.9813381433486938e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2985 -2.3937860503792763e-02</internalNodes>
-          <leafValues>
-            -6.0860121250152588e-01 4.2452588677406311e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2986 2.0148959010839462e-03</internalNodes>
-          <leafValues>
-            -3.0430519953370094e-02 1.3252329826354980e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2987 -9.2081452021375299e-04</internalNodes>
-          <leafValues>
-            -6.4787812530994415e-02 2.7679389342665672e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2988 2.4192659184336662e-03</internalNodes>
-          <leafValues>
-            4.7041378915309906e-02 -8.9719109237194061e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2989 -6.5186403691768646e-02</internalNodes>
-          <leafValues>
-            -5.6671458482742310e-01 2.5166301056742668e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2990 2.8571339324116707e-02</internalNodes>
-          <leafValues>
-            -2.5201410055160522e-02 1.9006469845771790e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2991 -3.3785749692469835e-03</internalNodes>
-          <leafValues>
-            -1.2729710340499878e-01 1.9669840112328529e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2992 1.0253169573843479e-02</internalNodes>
-          <leafValues>
-            -2.0659439265727997e-02 2.0298719406127930e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2993 4.9304449930787086e-03</internalNodes>
-          <leafValues>
-            2.1737489849328995e-02 -1.2347099930047989e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2994 9.6938945353031158e-03</internalNodes>
-          <leafValues>
-            6.0204151086509228e-03 -6.4063978195190430e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2995 -4.8665871145203710e-04</internalNodes>
-          <leafValues>
-            4.7643549740314484e-02 -2.8483150526881218e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2996 -2.1001850254833698e-03</internalNodes>
-          <leafValues>
-            8.1388853490352631e-02 -4.8343729227781296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2997 7.1035227738320827e-03</internalNodes>
-          <leafValues>
-            4.8637919127941132e-02 -5.9368059039115906e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2998 7.6833309140056372e-04</internalNodes>
-          <leafValues>
-            -5.5948581546545029e-02 9.0324163436889648e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 2999 3.0236479360610247e-03</internalNodes>
-          <leafValues>
-            2.4593129754066467e-02 -4.8018101602792740e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3000 -1.5640349593013525e-03</internalNodes>
-          <leafValues>
-            -1.4176750183105469e-01 4.4273559004068375e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3001 -4.9588200636208057e-03</internalNodes>
-          <leafValues>
-            3.3299440145492554e-01 -1.3866799883544445e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3002 -3.1740468693897128e-04</internalNodes>
-          <leafValues>
-            -9.9935911595821381e-02 4.1256289929151535e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3003 -8.0420851008966565e-04</internalNodes>
-          <leafValues>
-            1.0639169812202454e-01 -2.8372989967465401e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3004 1.6408630181103945e-03</internalNodes>
-          <leafValues>
-            -2.4030350148677826e-02 1.7486830055713654e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3005 -6.1796259880065918e-01</internalNodes>
-          <leafValues>
-            -3.5708969831466675e-01 4.0679760277271271e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3006 -1.7735069990158081e-01</internalNodes>
-          <leafValues>
-            -6.1740487813949585e-01 6.5281139686703682e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3007 9.8318364471197128e-03</internalNodes>
-          <leafValues>
-            -9.5694959163665771e-03 9.4102367758750916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3008 -9.9137630313634872e-03</internalNodes>
-          <leafValues>
-            2.0841769874095917e-01 -2.0038869231939316e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3009 1.0139079764485359e-02</internalNodes>
-          <leafValues>
-            8.6421063169836998e-03 -1.6476039588451385e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3010 -4.7524129040539265e-03</internalNodes>
-          <leafValues>
-            -9.3199521303176880e-01 4.2677428573369980e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3011 -3.5657559055835009e-03</internalNodes>
-          <leafValues>
-            -7.0002816617488861e-02 1.3544510118663311e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3012 -7.5818779878318310e-03</internalNodes>
-          <leafValues>
-            -2.5617438554763794e-01 1.5119800344109535e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3013 3.2128070015460253e-03</internalNodes>
-          <leafValues>
-            -4.7117389738559723e-02 4.2283978313207626e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3014 -1.4448419678956270e-03</internalNodes>
-          <leafValues>
-            1.2069970369338989e-01 -3.4035868942737579e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3015 4.3855889089172706e-05</internalNodes>
-          <leafValues>
-            -3.3758200705051422e-02 2.9251309111714363e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3016 7.9919979907572269e-04</internalNodes>
-          <leafValues>
-            5.2105661481618881e-02 -1.0435529798269272e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3017 1.6669919714331627e-02</internalNodes>
-          <leafValues>
-            3.1498380005359650e-02 -7.5712457299232483e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3018 4.4861449860036373e-03</internalNodes>
-          <leafValues>
-            -6.0100939124822617e-02 1.0679920017719269e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3019 1.5718489885330200e-03</internalNodes>
-          <leafValues>
-            2.2957760840654373e-02 -5.1999129354953766e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3020 -1.0987470159307122e-03</internalNodes>
-          <leafValues>
-            6.7808508872985840e-02 -6.2232740223407745e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3021 3.6574289202690125e-01</internalNodes>
-          <leafValues>
-            8.5034789517521858e-03 -8.7944783270359039e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3022 6.2328672409057617e-01</internalNodes>
-          <leafValues>
-            6.2737329863011837e-03 -6.5871769189834595e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3023 -2.0381929352879524e-02</internalNodes>
-          <leafValues>
-            2.0589959621429443e-01 -2.1329719573259354e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3024 1.2231430038809776e-02</internalNodes>
-          <leafValues>
-            1.6662970185279846e-02 -2.4959360063076019e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3025 1.1891610175371170e-01</internalNodes>
-          <leafValues>
-            4.6012690290808678e-03 -2.4065980315208435e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3026 -4.5336168259382248e-02</internalNodes>
-          <leafValues>
-            2.6013681292533875e-01 -1.5307229943573475e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3027 1.0635649785399437e-02</internalNodes>
-          <leafValues>
-            1.3968730345368385e-02 -1.8730120360851288e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3028 8.0420613288879395e-02</internalNodes>
-          <leafValues>
-            6.4792581833899021e-03 -7.3739159107208252e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3029 4.1983132250607014e-03</internalNodes>
-          <leafValues>
-            -4.0718421339988708e-02 4.9123499542474747e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3030 2.7840971015393734e-03</internalNodes>
-          <leafValues>
-            -4.6847000718116760e-02 8.3045586943626404e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3031 -2.3969069588929415e-03</internalNodes>
-          <leafValues>
-            -1.0305040329694748e-01 3.6219939589500427e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3032 2.3801729083061218e-02</internalNodes>
-          <leafValues>
-            -2.6440629735589027e-02 1.5566450357437134e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3033 5.8980349422199652e-05</internalNodes>
-          <leafValues>
-            -7.4151277542114258e-02 5.3694751113653183e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3034 4.2179841548204422e-03</internalNodes>
-          <leafValues>
-            5.8198180049657822e-02 -6.9338247179985046e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3035 -7.3058279231190681e-03</internalNodes>
-          <leafValues>
-            -9.0065263211727142e-02 3.4009128808975220e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3036 5.0189117901027203e-03</internalNodes>
-          <leafValues>
-            -1.8705239519476891e-02 2.2443990409374237e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3037 -2.0936098881065845e-03</internalNodes>
-          <leafValues>
-            -6.6003449261188507e-02 1.9856190308928490e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3038 6.8444077624008060e-04</internalNodes>
-          <leafValues>
-            5.4512381553649902e-02 -9.2761643230915070e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3039 -4.1365441866219044e-03</internalNodes>
-          <leafValues>
-            -1.0075940191745758e-01 2.9440989717841148e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3040 9.9968025460839272e-03</internalNodes>
-          <leafValues>
-            -3.8969870656728745e-02 1.4083629846572876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3041 4.1777390288189054e-04</internalNodes>
-          <leafValues>
-            1.6349399462342262e-02 -8.7681837379932404e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3042 1.4318599824036937e-05</internalNodes>
-          <leafValues>
-            -6.0149569064378738e-02 7.5571998953819275e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3043 1.0386370122432709e-02</internalNodes>
-          <leafValues>
-            1.3826809823513031e-02 -1.3289609551429749e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3044 -3.4228169824928045e-03</internalNodes>
-          <leafValues>
-            6.8344578146934509e-02 -5.8622609823942184e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3045 1.4140920029603876e-05</internalNodes>
-          <leafValues>
-            -3.3672899007797241e-02 3.4742329269647598e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3046 -2.9150721430778503e-01</internalNodes>
-          <leafValues>
-            -2.6706650853157043e-01 1.6969459131360054e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3047 -2.2624819539487362e-03</internalNodes>
-          <leafValues>
-            5.8930430561304092e-02 -3.8748141378164291e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3048 6.0357558540999889e-03</internalNodes>
-          <leafValues>
-            -5.4498948156833649e-02 8.3862930536270142e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3049 -4.2928759939968586e-03</internalNodes>
-          <leafValues>
-            -7.3004312813282013e-02 1.4651809819042683e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3050 1.1044720187783241e-02</internalNodes>
-          <leafValues>
-            1.2078249827027321e-02 -3.9404100179672241e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3051 -1.0535520268604159e-03</internalNodes>
-          <leafValues>
-            4.8318728804588318e-02 -3.4919891506433487e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3052 5.6404650211334229e-02</internalNodes>
-          <leafValues>
-            -6.8446230143308640e-03 6.1755502223968506e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3053 -8.4812091663479805e-03</internalNodes>
-          <leafValues>
-            -1.3839499652385712e-01 1.2489840388298035e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3054 1.6193240880966187e-02</internalNodes>
-          <leafValues>
-            9.0974392369389534e-03 -4.4633740186691284e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3055 -2.8318920521996915e-04</internalNodes>
-          <leafValues>
-            8.2474879920482635e-02 -4.7371931374073029e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3056 4.1413828730583191e-03</internalNodes>
-          <leafValues>
-            -1.4848480001091957e-02 2.8132051229476929e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3057 -3.4166331170126796e-04</internalNodes>
-          <leafValues>
-            -6.0937568545341492e-02 2.9026310890913010e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3058 2.0170300267636776e-03</internalNodes>
-          <leafValues>
-            1.9604349508881569e-02 -2.0822779834270477e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3059 -2.0873220637440681e-03</internalNodes>
-          <leafValues>
-            1.0310489684343338e-01 -3.7634961307048798e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3060 -5.6890142150223255e-03</internalNodes>
-          <leafValues>
-            -1.2544399499893188e-01 3.3915720880031586e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3061 1.0917709767818451e-01</internalNodes>
-          <leafValues>
-            7.4923089705407619e-03 -1.1904879659414291e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3062 -5.0970359006896615e-04</internalNodes>
-          <leafValues>
-            9.7908712923526764e-02 -3.9758011698722839e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3063 -1.4320580661296844e-01</internalNodes>
-          <leafValues>
-            -8.0416381359100342e-01 6.3695549033582211e-04</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3064 -8.0799080431461334e-02</internalNodes>
-          <leafValues>
-            3.1338238716125488e-01 -1.3846360146999359e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3065 -9.3855917453765869e-02</internalNodes>
-          <leafValues>
-            -1.4186389744281769e-01 4.8957560211420059e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3066 1.0711970180273056e-01</internalNodes>
-          <leafValues>
-            1.0395029559731483e-02 -3.9300349354743958e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3067 5.6628540158271790e-02</internalNodes>
-          <leafValues>
-            1.6760550206527114e-03 -7.5297760963439941e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3068 -5.9830099344253540e-03</internalNodes>
-          <leafValues>
-            9.8864533007144928e-02 -4.2337849736213684e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3069 3.2563660293817520e-02</internalNodes>
-          <leafValues>
-            7.7907292870804667e-04 -1.0018880367279053e+00</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3070 5.2614361047744751e-03</internalNodes>
-          <leafValues>
-            -2.3592080920934677e-02 1.8561479449272156e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3071 -2.8537029400467873e-02</internalNodes>
-          <leafValues>
-            -8.7918317317962646e-01 2.7133359108120203e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3072 -1.1468839831650257e-02</internalNodes>
-          <leafValues>
-            -2.8566700220108032e-01 1.4948310330510139e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3073 5.8335228823125362e-04</internalNodes>
-          <leafValues>
-            1.6099810600280762e-02 -1.0043399780988693e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3074 4.0041147731244564e-03</internalNodes>
-          <leafValues>
-            5.0489702261984348e-03 -7.1332311630249023e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3075 -2.3596179671585560e-03</internalNodes>
-          <leafValues>
-            2.4190050363540649e-01 -1.4085929840803146e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3076 3.3726831316016614e-04</internalNodes>
-          <leafValues>
-            2.9679410159587860e-02 -1.2967990338802338e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3077 6.7051057703793049e-04</internalNodes>
-          <leafValues>
-            -4.2348969727754593e-02 6.4362458884716034e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3078 -3.4773809602484107e-04</internalNodes>
-          <leafValues>
-            6.9616302847862244e-02 -6.3760548830032349e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3079 2.6000179350376129e-02</internalNodes>
-          <leafValues>
-            3.4755310043692589e-03 -5.2053117752075195e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3080 -1.6987169161438942e-02</internalNodes>
-          <leafValues>
-            -4.3342560529708862e-01 8.5654119029641151e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3081 2.9391179850790650e-05</internalNodes>
-          <leafValues>
-            -3.6627989262342453e-02 4.1910480707883835e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3082 -2.4438139516860247e-03</internalNodes>
-          <leafValues>
-            3.0130320787429810e-01 -1.3301130384206772e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3083 6.4233690500259399e-03</internalNodes>
-          <leafValues>
-            7.3442691937088966e-03 -5.7522922754287720e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3084 1.1681020259857178e-01</internalNodes>
-          <leafValues>
-            3.3814390189945698e-03 -8.7938332557678223e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3085 -2.7548689104150981e-05</internalNodes>
-          <leafValues>
-            6.4680196344852448e-02 -5.7411041110754013e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3086 2.4947611382231116e-04</internalNodes>
-          <leafValues>
-            -7.5326800346374512e-02 4.8592418432235718e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3087 -7.1671740151941776e-03</internalNodes>
-          <leafValues>
-            -8.3547100424766541e-02 2.1562419831752777e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3088 -1.8627879908308387e-03</internalNodes>
-          <leafValues>
-            1.0043080151081085e-01 -3.8185749202966690e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3089 -1.6036540269851685e-02</internalNodes>
-          <leafValues>
-            -9.1825373470783234e-02 3.9515469223260880e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3090 -1.2315779924392700e-02</internalNodes>
-          <leafValues>
-            2.3118409514427185e-01 -1.7156910151243210e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3091 -1.3695989735424519e-02</internalNodes>
-          <leafValues>
-            -4.6317929029464722e-01 2.2789770737290382e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3092 -8.4357131272554398e-03</internalNodes>
-          <leafValues>
-            -2.6425519585609436e-01 1.4832129701972008e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3093 -9.2736718943342566e-04</internalNodes>
-          <leafValues>
-            7.9645402729511261e-02 -4.9840580672025681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3094 -7.3909357888624072e-04</internalNodes>
-          <leafValues>
-            1.1675740033388138e-01 -3.2842319458723068e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3095 -5.3007681854069233e-03</internalNodes>
-          <leafValues>
-            -5.8355450630187988e-02 2.4915490299463272e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3096 2.3519468959420919e-03</internalNodes>
-          <leafValues>
-            3.4184001386165619e-02 -1.2361560016870499e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3097 3.6758350324817002e-04</internalNodes>
-          <leafValues>
-            2.4377340450882912e-02 -9.2866457998752594e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3098 -1.8738239305093884e-04</internalNodes>
-          <leafValues>
-            -9.7189396619796753e-02 4.5581560581922531e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3099 -4.3005049228668213e-03</internalNodes>
-          <leafValues>
-            5.9655640274286270e-02 -2.6550989598035812e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3100 3.0303259845823050e-03</internalNodes>
-          <leafValues>
-            -4.6652421355247498e-02 8.3090431988239288e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3101 9.1612888500094414e-03</internalNodes>
-          <leafValues>
-            8.1623140722513199e-03 -1.4294110238552094e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3102 -7.1365521289408207e-03</internalNodes>
-          <leafValues>
-            -2.1283440291881561e-01 1.9532319158315659e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3103 4.0135360322892666e-03</internalNodes>
-          <leafValues>
-            -2.7977779507637024e-02 6.5373353660106659e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3104 7.3571591638028622e-03</internalNodes>
-          <leafValues>
-            -3.3633861690759659e-02 1.1916100233793259e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3105 -1.4602700248360634e-03</internalNodes>
-          <leafValues>
-            1.4011189341545105e-01 -1.2051680125296116e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3106 1.4471929716819432e-05</internalNodes>
-          <leafValues>
-            -5.7255640625953674e-02 6.8829320371150970e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3107 -1.4309570360637736e-05</internalNodes>
-          <leafValues>
-            8.2789108157157898e-02 -8.4355473518371582e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3108 -5.5356771918013692e-04</internalNodes>
-          <leafValues>
-            -1.4383679628372192e-01 3.1933940947055817e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3109 2.1484889090061188e-02</internalNodes>
-          <leafValues>
-            -3.0742040835320950e-03 3.7881690263748169e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3110 -9.8766442388296127e-03</internalNodes>
-          <leafValues>
-            3.5023438930511475e-01 -1.0607440024614334e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3111 -4.5920489355921745e-04</internalNodes>
-          <leafValues>
-            -1.1301189661026001e-01 2.3139599710702896e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3112 -1.6422939952462912e-03</internalNodes>
-          <leafValues>
-            7.4747122824192047e-02 -5.0454050302505493e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3113 -5.3874298464506865e-04</internalNodes>
-          <leafValues>
-            -1.3922649621963501e-01 2.9874069616198540e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3114 -5.7828719727694988e-03</internalNodes>
-          <leafValues>
-            8.0108322203159332e-02 -4.9318719655275345e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3115 -1.1254530400037766e-02</internalNodes>
-          <leafValues>
-            -9.4960838556289673e-02 1.2815359979867935e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3116 -6.3977600075304508e-03</internalNodes>
-          <leafValues>
-            1.8505319952964783e-01 -1.9816260784864426e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3117 -1.7287230002693832e-04</internalNodes>
-          <leafValues>
-            -4.4736761599779129e-02 3.1513940542936325e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3118 -4.4290270656347275e-02</internalNodes>
-          <leafValues>
-            -8.4371000528335571e-01 4.1946070268750191e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3119 1.4135680430626962e-05</internalNodes>
-          <leafValues>
-            -2.8704009950160980e-02 2.9664069414138794e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3120 1.4838889910606667e-05</internalNodes>
-          <leafValues>
-            -5.7750280946493149e-02 5.9877578169107437e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3121 1.4357990039570723e-05</internalNodes>
-          <leafValues>
-            -4.8069581389427185e-02 5.2067048847675323e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3122 -3.0332439928315580e-04</internalNodes>
-          <leafValues>
-            -1.1391550302505493e-01 3.3420108258724213e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3123 -2.1341539919376373e-02</internalNodes>
-          <leafValues>
-            1.3414019346237183e-01 -2.8697019442915916e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3124 1.2220669537782669e-02</internalNodes>
-          <leafValues>
-            -3.1815130263566971e-02 1.2447299808263779e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3125 -1.7970399931073189e-03</internalNodes>
-          <leafValues>
-            -7.8972600400447845e-02 2.3819999769330025e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3126 1.0250660125166178e-03</internalNodes>
-          <leafValues>
-            9.1715447604656219e-02 -5.1853589713573456e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3127 2.9596749300253578e-05</internalNodes>
-          <leafValues>
-            -4.5877501368522644e-02 2.2276140749454498e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3128 -2.9857519548386335e-03</internalNodes>
-          <leafValues>
-            -1.0987590253353119e-01 3.9163749665021896e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3129 3.4685849677771330e-03</internalNodes>
-          <leafValues>
-            -3.1400199979543686e-02 5.9269599616527557e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3130 -5.0253752851858735e-04</internalNodes>
-          <leafValues>
-            6.8993613123893738e-02 -5.6809179484844208e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3131 3.1805990729480982e-03</internalNodes>
-          <leafValues>
-            1.7488589510321617e-02 -1.0994870215654373e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3132 -6.3892719335854053e-03</internalNodes>
-          <leafValues>
-            2.3231509327888489e-01 -1.6345100477337837e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3133 4.7345750033855438e-02</internalNodes>
-          <leafValues>
-            3.2520359382033348e-03 -7.1971511840820312e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3134 -6.3473977148532867e-02</internalNodes>
-          <leafValues>
-            -5.7145291566848755e-01 5.7878792285919189e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3135 1.8283590674400330e-02</internalNodes>
-          <leafValues>
-            -3.0776629224419594e-02 6.7068859934806824e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3136 3.3511288464069366e-02</internalNodes>
-          <leafValues>
-            9.5050930976867676e-03 -3.9411789178848267e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3137 5.8480639010667801e-02</internalNodes>
-          <leafValues>
-            8.8002288248389959e-04 -7.2193121910095215e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3138 -6.8779820576310158e-03</internalNodes>
-          <leafValues>
-            -1.3660149276256561e-01 2.8550539165735245e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3139 -7.4082398787140846e-03</internalNodes>
-          <leafValues>
-            -1. 1.4721560291945934e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3140 1.9716760143637657e-03</internalNodes>
-          <leafValues>
-            -3.1249720603227615e-02 1.2497240304946899e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3141 -8.5898824036121368e-03</internalNodes>
-          <leafValues>
-            7.3831759393215179e-02 -5.1625881344079971e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3142 3.8665629923343658e-02</internalNodes>
-          <leafValues>
-            -4.0125548839569092e-02 1.0069020092487335e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3143 -2.3928559385240078e-03</internalNodes>
-          <leafValues>
-            4.5589141547679901e-02 -4.5100230723619461e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3144 -6.2895438168197870e-04</internalNodes>
-          <leafValues>
-            -1.1667449772357941e-01 3.2768420875072479e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3145 -2.3187010083347559e-03</internalNodes>
-          <leafValues>
-            1.3001890480518341e-01 -1.0718069970607758e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3146 1.4138329788693227e-05</internalNodes>
-          <leafValues>
-            -6.4404919743537903e-02 5.7263828814029694e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3147 -2.8554860502481461e-02</internalNodes>
-          <leafValues>
-            -5.0639897584915161e-01 1.1023499537259340e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3148 3.2312930561602116e-03</internalNodes>
-          <leafValues>
-            3.6267548799514771e-02 -1.0106699913740158e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3149 1.6222210251726210e-04</internalNodes>
-          <leafValues>
-            -4.0285501629114151e-02 3.1679298728704453e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3150 4.2762039811350405e-04</internalNodes>
-          <leafValues>
-            -3.6203209310770035e-02 1.0361579805612564e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3151 3.3335629268549383e-04</internalNodes>
-          <leafValues>
-            -2.9866840690374374e-02 2.9882159084081650e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3152 -2.2189140319824219e-01</internalNodes>
-          <leafValues>
-            -3.8243699073791504e-01 9.5520019531250000e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3153 8.7596403318457305e-05</internalNodes>
-          <leafValues>
-            3.9001930505037308e-02 -8.1183552742004395e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3154 -1.1259169696131721e-04</internalNodes>
-          <leafValues>
-            6.3710443675518036e-02 -5.8460969477891922e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3155 -1.6238780226558447e-03</internalNodes>
-          <leafValues>
-            4.1994798928499222e-02 -4.4873479753732681e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3156 -6.0143370181322098e-02</internalNodes>
-          <leafValues>
-            -6.9434410333633423e-01 5.1933941431343555e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3157 2.2263569757342339e-02</internalNodes>
-          <leafValues>
-            7.1151661686599255e-03 -1.6245369613170624e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3158 1.5287219546735287e-02</internalNodes>
-          <leafValues>
-            -3.1578138470649719e-02 1.3159650564193726e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3159 -2.7766029816120863e-03</internalNodes>
-          <leafValues>
-            3.3783968538045883e-02 -3.1077789142727852e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3160 1.6177409561350942e-03</internalNodes>
-          <leafValues>
-            3.9119731634855270e-02 -9.9278897047042847e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3161 1.9479090115055442e-03</internalNodes>
-          <leafValues>
-            -5.3654409945011139e-02 7.0118047297000885e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3162 1.2130389921367168e-02</internalNodes>
-          <leafValues>
-            4.0306180715560913e-02 -9.0640321373939514e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3163 -1.3028389774262905e-02</internalNodes>
-          <leafValues>
-            1.1700630187988281e-01 -6.7425691522657871e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3164 -5.0146891735494137e-03</internalNodes>
-          <leafValues>
-            -1.3672140240669250e-01 2.8440289199352264e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3165 2.9157409444451332e-03</internalNodes>
-          <leafValues>
-            -2.0223509520292282e-02 1.7895069718360901e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3166 1.4704049564898014e-02</internalNodes>
-          <leafValues>
-            -1.1754130013287067e-02 3.0486410856246948e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3167 -6.0479778796434402e-02</internalNodes>
-          <leafValues>
-            -7.8139930963516235e-01 2.7442490682005882e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3168 -4.3481457978487015e-03</internalNodes>
-          <leafValues>
-            -1.3809560239315033e-01 2.4240119382739067e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3169 -2.0365869626402855e-02</internalNodes>
-          <leafValues>
-            4.7886461019515991e-02 -2.1922210231423378e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3170 3.8487561047077179e-02</internalNodes>
-          <leafValues>
-            -1.4815949834883213e-02 2.8366428613662720e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3171 8.8168919086456299e-02</internalNodes>
-          <leafValues>
-            6.1495671980082989e-03 -1.1289569735527039e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3172 4.0345671586692333e-03</internalNodes>
-          <leafValues>
-            -6.8296507000923157e-02 5.5224869400262833e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3173 9.2876404523849487e-03</internalNodes>
-          <leafValues>
-            3.4623101353645325e-02 -5.4317090660333633e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3174 1.6310110222548246e-03</internalNodes>
-          <leafValues>
-            -2.9204320162534714e-02 1.2989430129528046e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3175 -1.2771799811162055e-04</internalNodes>
-          <leafValues>
-            5.7855401188135147e-02 -6.3030250370502472e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3176 1.3937779702246189e-02</internalNodes>
-          <leafValues>
-            6.9280698895454407e-02 -6.1526641249656677e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3177 6.8672648631036282e-03</internalNodes>
-          <leafValues>
-            7.0364428684115410e-03 -4.4557929039001465e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3178 2.1003469824790955e-02</internalNodes>
-          <leafValues>
-            -3.5268500447273254e-02 1.5359219908714294e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3179 -5.0168340094387531e-03</internalNodes>
-          <leafValues>
-            -5.2301561832427979e-01 3.5861700307577848e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3180 -3.1568898702971637e-04</internalNodes>
-          <leafValues>
-            -1.1868490278720856e-01 2.9266620054841042e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3181 -9.4318166375160217e-03</internalNodes>
-          <leafValues>
-            1.2853389978408813e-01 -2.4564500898122787e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3182 6.0749690979719162e-02</internalNodes>
-          <leafValues>
-            1.5456859953701496e-02 -2.3764939606189728e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3183 1.4245889615267515e-03</internalNodes>
-          <leafValues>
-            -2.7731699869036674e-02 7.5339756906032562e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3184 4.5280749909579754e-03</internalNodes>
-          <leafValues>
-            7.9670632258057594e-03 -4.6478900313377380e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3185 -1.1256569996476173e-03</internalNodes>
-          <leafValues>
-            8.7405860424041748e-02 -2.8235470876097679e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3186 7.1023160126060247e-04</internalNodes>
-          <leafValues>
-            -4.5912958681583405e-02 7.7868096530437469e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3187 -1.0647220187820494e-04</internalNodes>
-          <leafValues>
-            -6.9129116833209991e-02 3.4806620329618454e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3188 4.0483310818672180e-02</internalNodes>
-          <leafValues>
-            -6.7497747950255871e-03 5.7718431949615479e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3189 3.1162700615823269e-03</internalNodes>
-          <leafValues>
-            -1.5197520144283772e-02 1.5354870259761810e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3190 4.5352601446211338e-03</internalNodes>
-          <leafValues>
-            1.9577570259571075e-02 -1.9316029548645020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3191 -4.1040619835257530e-03</internalNodes>
-          <leafValues>
-            1.6863599419593811e-01 -2.3052209988236427e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3192 -1.2791199842467904e-03</internalNodes>
-          <leafValues>
-            -1.2263630330562592e-01 3.3852901309728622e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3193 3.7750229239463806e-02</internalNodes>
-          <leafValues>
-            2.7295380830764771e-02 -3.9029780775308609e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3194 -3.1329069286584854e-02</internalNodes>
-          <leafValues>
-            -1.7695879936218262e-01 2.3652670904994011e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3195 6.9908007979393005e-02</internalNodes>
-          <leafValues>
-            -1.3607740402221680e-02 1.7705820500850677e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3196 -1.7724529607221484e-03</internalNodes>
-          <leafValues>
-            8.9443042874336243e-02 -4.4195320457220078e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3197 9.5961341867223382e-04</internalNodes>
-          <leafValues>
-            4.6264778822660446e-02 -8.5146717727184296e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3198 4.8880279064178467e-03</internalNodes>
-          <leafValues>
-            -4.3457351624965668e-02 8.3665966987609863e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3199 -1.8521700054407120e-02</internalNodes>
-          <leafValues>
-            -1.9846099615097046e-01 7.7576087787747383e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3200 -2.9453789466060698e-04</internalNodes>
-          <leafValues>
-            6.5195016562938690e-02 -7.3865167796611786e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3201 3.2816329039633274e-03</internalNodes>
-          <leafValues>
-            1.0613779537379742e-02 -1.2129720300436020e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3202 -4.1478020139038563e-03</internalNodes>
-          <leafValues>
-            1.3219490647315979e-01 -2.7838779613375664e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3203 2.9324321076273918e-03</internalNodes>
-          <leafValues>
-            1.5625990927219391e-02 -1.3332700729370117e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3204 1.4735000149812549e-05</internalNodes>
-          <leafValues>
-            -6.6767387092113495e-02 6.7779406905174255e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3205 1.0550020262598991e-02</internalNodes>
-          <leafValues>
-            -1.8690729513764381e-02 3.5460308194160461e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3206 6.6441838862374425e-04</internalNodes>
-          <leafValues>
-            3.1682059168815613e-02 -1.2590830028057098e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3207 -7.8891811426728964e-04</internalNodes>
-          <leafValues>
-            4.1447490453720093e-02 -1.9493930041790009e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3208 4.0985438972711563e-03</internalNodes>
-          <leafValues>
-            -1.4138899743556976e-02 2.5552189350128174e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3209 -1.1657159775495529e-03</internalNodes>
-          <leafValues>
-            -9.9526606500148773e-02 2.5209929794073105e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3210 8.3427336066961288e-03</internalNodes>
-          <leafValues>
-            6.7264190874993801e-03 -5.3164392709732056e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3211 1.1264909990131855e-02</internalNodes>
-          <leafValues>
-            -2.0710369572043419e-02 1.7936679720878601e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3212 -4.5051681809127331e-03</internalNodes>
-          <leafValues>
-            -6.6127192974090576e-01 5.7547520846128464e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3213 -1.4798439806327224e-03</internalNodes>
-          <leafValues>
-            1.0810559988021851e-01 -1.9588569179177284e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3214 1.6471470007672906e-04</internalNodes>
-          <leafValues>
-            5.3238850086927414e-02 -6.9692611694335938e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3215 4.4582888484001160e-02</internalNodes>
-          <leafValues>
-            7.8089488670229912e-03 -3.7653329968452454e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3216 -1.9773680716753006e-02</internalNodes>
-          <leafValues>
-            1.3560689985752106e-01 -3.0749319121241570e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3217 4.3540569022297859e-03</internalNodes>
-          <leafValues>
-            9.3921516090631485e-03 -1.9494530558586121e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3218 -2.4175210297107697e-01</internalNodes>
-          <leafValues>
-            -6.3273942470550537e-01 5.7554137893021107e-03</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3219 -4.4678640551865101e-04</internalNodes>
-          <leafValues>
-            7.4578367173671722e-02 -5.0328239798545837e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3220 1.4537060260772705e-01</internalNodes>
-          <leafValues>
-            7.1067730896174908e-03 -5.0648421049118042e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3221 1.4327790267998353e-05</internalNodes>
-          <leafValues>
-            -2.8675070032477379e-02 2.7644269168376923e-02</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3222 6.7291660234332085e-03</internalNodes>
-          <leafValues>
-            8.8470866903662682e-03 -4.2330700159072876e-01</leafValues></_>
-        <_>
-          <internalNodes>
-            0 -1 3223 2.2473030257970095e-03</internalNodes>
-          <leafValues>
-            -1.4289340004324913e-02 1.4410759508609772e-01</leafValues></_></weakClassifiers></_></stages>
-  <features>
-    <_>
-      <rects>
-        <_>
-          8 4 6 4 -1.</_>
-        <_>
-          10 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 4 -1.</_>
-        <_>
-          8 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 12 7 -1.</_>
-        <_>
-          8 4 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 16 8 -1.</_>
-        <_>
-          7 1 8 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 2 -1.</_>
-        <_>
-          8 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 6 -1.</_>
-        <_>
-          10 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 9 -1.</_>
-        <_>
-          0 3 15 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 6 -1.</_>
-        <_>
-          9 4 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 17 1 3 -1.</_>
-        <_>
-          6 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 17 2 3 -1.</_>
-        <_>
-          14 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 17 2 3 -1.</_>
-        <_>
-          6 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 6 -1.</_>
-        <_>
-          8 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 2 -1.</_>
-        <_>
-          8 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 13 4 1 -1.</_>
-        <_>
-          12 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_>
-        <_>
-          1 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 2 4 -1.</_>
-        <_>
-          21 1 1 2 2.</_>
-        <_>
-          20 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 2 4 -1.</_>
-        <_>
-          0 1 1 2 2.</_>
-        <_>
-          1 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 4 -1.</_>
-        <_>
-          14 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 4 1 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 1 -1.</_>
-        <_>
-          16 5 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 2 4 -1.</_>
-        <_>
-          21 6 1 2 2.</_>
-        <_>
-          20 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 3 -1.</_>
-        <_>
-          1 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 0 1 2 -1.</_>
-        <_>
-          20 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          9 2 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 1 -1.</_>
-        <_>
-          10 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 18 2 -1.</_>
-        <_>
-          6 16 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 4 -1.</_>
-        <_>
-          10 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 6 -1.</_>
-        <_>
-          10 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 17 8 -1.</_>
-        <_>
-          5 7 17 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 3 3 -1.</_>
-        <_>
-          4 7 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 2 -1.</_>
-        <_>
-          12 5 2 1 2.</_>
-        <_>
-          10 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 9 14 -1.</_>
-        <_>
-          13 4 3 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 4 -1.</_>
-        <_>
-          10 4 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 3 -1.</_>
-        <_>
-          11 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 4 -1.</_>
-        <_>
-          11 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 9 -1.</_>
-        <_>
-          8 2 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 4 2 -1.</_>
-        <_>
-          10 11 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 14 8 6 -1.</_>
-        <_>
-          7 17 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 12 11 -1.</_>
-        <_>
-          9 4 4 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 4 -1.</_>
-        <_>
-          8 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 17 3 -1.</_>
-        <_>
-          1 18 17 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 20 3 -1.</_>
-        <_>
-          1 18 20 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 3 -1.</_>
-        <_>
-          10 1 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 8 2 -1.</_>
-        <_>
-          8 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 3 6 -1.</_>
-        <_>
-          9 9 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 4 18 -1.</_>
-        <_>
-          13 0 2 18 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 2 3 -1.</_>
-        <_>
-          1 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 9 12 -1.</_>
-        <_>
-          13 6 3 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 2 -1.</_>
-        <_>
-          8 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 2 3 -1.</_>
-        <_>
-          19 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 20 1 -1.</_>
-        <_>
-          10 7 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 4 4 -1.</_>
-        <_>
-          13 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 3 -1.</_>
-        <_>
-          2 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 6 6 -1.</_>
-        <_>
-          9 8 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 3 2 -1.</_>
-        <_>
-          3 7 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 16 16 -1.</_>
-        <_>
-          7 4 8 16 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 4 -1.</_>
-        <_>
-          6 2 3 2 2.</_>
-        <_>
-          9 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 8 9 -1.</_>
-        <_>
-          9 3 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 6 13 -1.</_>
-        <_>
-          7 2 3 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 16 6 -1.</_>
-        <_>
-          7 3 8 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 20 -1.</_>
-        <_>
-          0 0 2 10 2.</_>
-        <_>
-          2 10 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 3 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 6 6 -1.</_>
-        <_>
-          9 2 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 16 14 -1.</_>
-        <_>
-          3 13 16 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 3 -1.</_>
-        <_>
-          11 4 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 12 2 2 -1.</_>
-        <_>
-          12 12 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 3 -1.</_>
-        <_>
-          4 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 3 -1.</_>
-        <_>
-          16 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 2 3 -1.</_>
-        <_>
-          4 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 4 8 -1.</_>
-        <_>
-          12 3 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 3 7 3 -1.</_>
-        <_>
-          0 4 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 8 4 -1.</_>
-        <_>
-          8 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 14 2 -1.</_>
-        <_>
-          1 6 7 1 2.</_>
-        <_>
-          8 7 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 3 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 5 12 -1.</_>
-        <_>
-          8 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 18 2 -1.</_>
-        <_>
-          2 1 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 2 6 -1.</_>
-        <_>
-          0 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 17 4 3 -1.</_>
-        <_>
-          15 18 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 13 3 -1.</_>
-        <_>
-          0 14 13 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 17 1 3 -1.</_>
-        <_>
-          12 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 2 -1.</_>
-        <_>
-          9 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 10 4 10 -1.</_>
-        <_>
-          20 10 2 5 2.</_>
-        <_>
-          18 15 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 3 3 -1.</_>
-        <_>
-          1 18 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 9 15 -1.</_>
-        <_>
-          14 7 3 5 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 12 2 -1.</_>
-        <_>
-          8 3 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 18 2 -1.</_>
-        <_>
-          13 5 9 1 2.</_>
-        <_>
-          4 6 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 9 -1.</_>
-        <_>
-          8 2 1 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 17 4 3 -1.</_>
-        <_>
-          16 18 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 1 -1.</_>
-        <_>
-          11 0 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 17 6 3 -1.</_>
-        <_>
-          15 18 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 4 -1.</_>
-        <_>
-          5 2 4 2 2.</_>
-        <_>
-          9 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 12 3 -1.</_>
-        <_>
-          5 11 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 5 4 -1.</_>
-        <_>
-          8 10 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 2 3 -1.</_>
-        <_>
-          18 3 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 17 4 3 -1.</_>
-        <_>
-          2 18 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 1 2 -1.</_>
-        <_>
-          13 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 3 -1.</_>
-        <_>
-          8 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 2 3 -1.</_>
-        <_>
-          18 3 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 2 3 -1.</_>
-        <_>
-          2 3 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          9 2 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 6 -1.</_>
-        <_>
-          8 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 17 2 3 -1.</_>
-        <_>
-          16 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 14 8 3 -1.</_>
-        <_>
-          2 15 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 18 4 -1.</_>
-        <_>
-          11 13 9 2 2.</_>
-        <_>
-          2 15 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 22 20 -1.</_>
-        <_>
-          11 0 11 20 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 5 3 -1.</_>
-        <_>
-          12 4 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 5 3 -1.</_>
-        <_>
-          5 4 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 6 4 -1.</_>
-        <_>
-          13 10 3 2 2.</_>
-        <_>
-          10 12 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 4 -1.</_>
-        <_>
-          6 10 3 2 2.</_>
-        <_>
-          9 12 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 2 1 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 6 -1.</_>
-        <_>
-          10 4 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 8 -1.</_>
-        <_>
-          10 0 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 8 2 -1.</_>
-        <_>
-          9 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 6 -1.</_>
-        <_>
-          8 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 5 -1.</_>
-        <_>
-          7 5 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 4 -1.</_>
-        <_>
-          8 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 9 -1.</_>
-        <_>
-          7 3 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 1 2 -1.</_>
-        <_>
-          18 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 4 2 -1.</_>
-        <_>
-          0 18 2 1 2.</_>
-        <_>
-          2 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 1 4 -1.</_>
-        <_>
-          18 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 4 12 -1.</_>
-        <_>
-          7 3 2 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 1 2 -1.</_>
-        <_>
-          18 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 3 3 -1.</_>
-        <_>
-          5 8 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 1 2 -1.</_>
-        <_>
-          18 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 1 2 -1.</_>
-        <_>
-          3 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 5 4 -1.</_>
-        <_>
-          9 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 22 19 -1.</_>
-        <_>
-          11 0 11 19 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 3 6 -1.</_>
-        <_>
-          18 10 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 22 3 -1.</_>
-        <_>
-          11 1 11 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 16 4 -1.</_>
-        <_>
-          7 3 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 17 2 2 -1.</_>
-        <_>
-          6 18 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 3 6 -1.</_>
-        <_>
-          10 10 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 4 -1.</_>
-        <_>
-          9 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 18 3 2 -1.</_>
-        <_>
-          15 19 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 2 1 -1.</_>
-        <_>
-          4 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 8 6 -1.</_>
-        <_>
-          12 4 4 3 2.</_>
-        <_>
-          8 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 8 6 -1.</_>
-        <_>
-          6 4 4 3 2.</_>
-        <_>
-          10 7 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          9 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          0 0 2 1 2.</_>
-        <_>
-          2 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 1 -1.</_>
-        <_>
-          10 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 4 -1.</_>
-        <_>
-          9 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 18 3 2 -1.</_>
-        <_>
-          15 19 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 5 3 -1.</_>
-        <_>
-          10 2 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 18 3 2 -1.</_>
-        <_>
-          15 19 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 18 3 2 -1.</_>
-        <_>
-          4 19 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 4 9 -1.</_>
-        <_>
-          13 1 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 4 2 -1.</_>
-        <_>
-          0 0 2 1 2.</_>
-        <_>
-          2 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 3 -1.</_>
-        <_>
-          12 11 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 6 -1.</_>
-        <_>
-          10 0 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 3 -1.</_>
-        <_>
-          12 11 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 18 4 -1.</_>
-        <_>
-          7 11 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 16 5 -1.</_>
-        <_>
-          9 8 8 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 14 1 -1.</_>
-        <_>
-          11 0 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 3 -1.</_>
-        <_>
-          12 11 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 3 -1.</_>
-        <_>
-          9 11 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 9 1 2 -1.</_>
-        <_>
-          21 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 22 7 -1.</_>
-        <_>
-          11 13 11 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 2 -1.</_>
-        <_>
-          11 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 10 -1.</_>
-        <_>
-          8 4 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 2 3 -1.</_>
-        <_>
-          17 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 16 19 -1.</_>
-        <_>
-          8 0 8 19 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 6 -1.</_>
-        <_>
-          10 8 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 3 -1.</_>
-        <_>
-          3 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_>
-        <_>
-          8 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 4 -1.</_>
-        <_>
-          8 7 3 2 2.</_>
-        <_>
-          11 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 3 -1.</_>
-        <_>
-          11 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 2 2 -1.</_>
-        <_>
-          4 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 1 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 1 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          9 2 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 14 6 6 -1.</_>
-        <_>
-          16 14 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 12 4 -1.</_>
-        <_>
-          8 7 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 8 1 -1.</_>
-        <_>
-          9 10 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 4 2 -1.</_>
-        <_>
-          9 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 2 -1.</_>
-        <_>
-          16 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 6 5 -1.</_>
-        <_>
-          3 14 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 9 1 2 -1.</_>
-        <_>
-          21 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 18 1 -1.</_>
-        <_>
-          8 5 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 2 -1.</_>
-        <_>
-          13 5 1 1 2.</_>
-        <_>
-          12 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 2 -1.</_>
-        <_>
-          0 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 22 7 -1.</_>
-        <_>
-          0 0 11 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 2 -1.</_>
-        <_>
-          10 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 8 9 -1.</_>
-        <_>
-          9 4 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 3 -1.</_>
-        <_>
-          8 0 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 3 -1.</_>
-        <_>
-          9 6 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 4 10 -1.</_>
-        <_>
-          0 1 2 5 2.</_>
-        <_>
-          2 6 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 1 -1.</_>
-        <_>
-          10 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 2 2 -1.</_>
-        <_>
-          3 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 3 2 -1.</_>
-        <_>
-          13 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 4 -1.</_>
-        <_>
-          3 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 4 7 -1.</_>
-        <_>
-          12 3 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 8 -1.</_>
-        <_>
-          10 2 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 12 6 -1.</_>
-        <_>
-          8 4 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 4 -1.</_>
-        <_>
-          8 7 3 2 2.</_>
-        <_>
-          11 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 3 -1.</_>
-        <_>
-          8 2 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 3 -1.</_>
-        <_>
-          11 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_>
-        <_>
-          8 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 1 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 1 -1.</_>
-        <_>
-          8 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 1 -1.</_>
-        <_>
-          11 0 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 9 2 3 -1.</_>
-        <_>
-          18 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 14 12 3 -1.</_>
-        <_>
-          5 14 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 3 3 -1.</_>
-        <_>
-          13 6 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 3 -1.</_>
-        <_>
-          8 6 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 10 12 -1.</_>
-        <_>
-          14 8 5 6 2.</_>
-        <_>
-          9 14 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 21 6 -1.</_>
-        <_>
-          7 14 7 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 1 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 2 4 11 -1.</_>
-        <_>
-          12 3 2 11 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 6 -1.</_>
-        <_>
-          10 8 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 4 -1.</_>
-        <_>
-          8 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 3 2 -1.</_>
-        <_>
-          16 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 11 10 -1.</_>
-        <_>
-          2 15 11 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 18 6 -1.</_>
-        <_>
-          2 8 18 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 2 -1.</_>
-        <_>
-          10 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 6 1 -1.</_>
-        <_>
-          13 17 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 14 1 2 -1.</_>
-        <_>
-          10 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 3 -1.</_>
-        <_>
-          12 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 8 1 -1.</_>
-        <_>
-          13 2 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 4 16 4 -1.</_>
-        <_>
-          11 4 8 2 2.</_>
-        <_>
-          3 6 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 3 -1.</_>
-        <_>
-          10 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 22 4 -1.</_>
-        <_>
-          0 2 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 9 17 -1.</_>
-        <_>
-          11 1 3 17 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 16 17 -1.</_>
-        <_>
-          7 1 8 17 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 7 2 -1.</_>
-        <_>
-          15 7 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          2 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 5 4 -1.</_>
-        <_>
-          16 10 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 3 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 8 3 -1.</_>
-        <_>
-          6 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          9 2 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 22 4 -1.</_>
-        <_>
-          0 0 11 2 2.</_>
-        <_>
-          11 2 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 3 -1.</_>
-        <_>
-          11 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 9 -1.</_>
-        <_>
-          9 7 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 15 2 4 -1.</_>
-        <_>
-          15 16 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 3 -1.</_>
-        <_>
-          9 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 4 -1.</_>
-        <_>
-          11 7 2 2 2.</_>
-        <_>
-          9 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 15 16 2 -1.</_>
-        <_>
-          11 15 8 1 2.</_>
-        <_>
-          3 16 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 2 2 -1.</_>
-        <_>
-          9 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 2 -1.</_>
-        <_>
-          12 5 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 4 -1.</_>
-        <_>
-          10 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 15 1 2 -1.</_>
-        <_>
-          13 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 21 18 -1.</_>
-        <_>
-          7 8 7 6 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 4 6 -1.</_>
-        <_>
-          9 12 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 15 1 2 -1.</_>
-        <_>
-          8 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 3 9 -1.</_>
-        <_>
-          14 7 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 8 9 -1.</_>
-        <_>
-          9 7 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 5 2 -1.</_>
-        <_>
-          17 7 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 6 -1.</_>
-        <_>
-          7 1 1 3 2.</_>
-        <_>
-          8 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 2 -1.</_>
-        <_>
-          13 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 1 22 19 -1.</_>
-        <_>
-          11 1 11 19 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 5 -1.</_>
-        <_>
-          14 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 4 -1.</_>
-        <_>
-          10 2 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 4 1 -1.</_>
-        <_>
-          16 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 3 9 -1.</_>
-        <_>
-          8 3 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          11 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 6 10 -1.</_>
-        <_>
-          6 5 3 5 2.</_>
-        <_>
-          9 10 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 6 2 -1.</_>
-        <_>
-          16 7 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 6 2 -1.</_>
-        <_>
-          0 7 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 8 2 -1.</_>
-        <_>
-          9 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 16 2 -1.</_>
-        <_>
-          7 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 12 4 -1.</_>
-        <_>
-          8 7 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 6 -1.</_>
-        <_>
-          11 4 2 3 2.</_>
-        <_>
-          9 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 6 -1.</_>
-        <_>
-          9 4 2 3 2.</_>
-        <_>
-          11 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 3 -1.</_>
-        <_>
-          9 2 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 20 7 -1.</_>
-        <_>
-          10 2 10 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 1 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 2 3 -1.</_>
-        <_>
-          1 0 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 1 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 16 11 4 -1.</_>
-        <_>
-          5 18 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          9 2 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 3 -1.</_>
-        <_>
-          9 5 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 18 9 -1.</_>
-        <_>
-          8 3 6 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 7 8 -1.</_>
-        <_>
-          4 2 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 8 4 -1.</_>
-        <_>
-          7 7 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 1 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 15 2 3 -1.</_>
-        <_>
-          2 16 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 1 1 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 4 -1.</_>
-        <_>
-          10 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 1 -1.</_>
-        <_>
-          10 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 3 -1.</_>
-        <_>
-          9 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 10 12 -1.</_>
-        <_>
-          11 4 5 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 3 -1.</_>
-        <_>
-          9 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 2 -1.</_>
-        <_>
-          14 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 1 2 -1.</_>
-        <_>
-          5 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 1 2 -1.</_>
-        <_>
-          16 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 1 2 -1.</_>
-        <_>
-          5 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 16 14 4 -1.</_>
-        <_>
-          4 17 14 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 2 2 -1.</_>
-        <_>
-          5 14 1 1 2.</_>
-        <_>
-          6 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 3 4 -1.</_>
-        <_>
-          10 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 2 -1.</_>
-        <_>
-          7 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 3 -1.</_>
-        <_>
-          14 6 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 3 -1.</_>
-        <_>
-          7 6 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 16 1 2 -1.</_>
-        <_>
-          13 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 3 -1.</_>
-        <_>
-          10 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 3 6 -1.</_>
-        <_>
-          11 1 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 16 1 2 -1.</_>
-        <_>
-          8 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 8 2 8 -1.</_>
-        <_>
-          18 8 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 4 1 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 1 2 -1.</_>
-        <_>
-          0 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 1 -1.</_>
-        <_>
-          14 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 1 2 -1.</_>
-        <_>
-          5 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 4 6 -1.</_>
-        <_>
-          12 3 2 3 2.</_>
-        <_>
-          10 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 12 15 -1.</_>
-        <_>
-          5 4 4 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 12 7 -1.</_>
-        <_>
-          13 10 4 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 18 2 2 -1.</_>
-        <_>
-          6 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 10 9 -1.</_>
-        <_>
-          12 8 5 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 15 6 -1.</_>
-        <_>
-          5 11 5 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 10 12 -1.</_>
-        <_>
-          11 5 5 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 10 12 -1.</_>
-        <_>
-          6 5 5 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 6 11 -1.</_>
-        <_>
-          15 0 3 11 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 8 -1.</_>
-        <_>
-          4 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 20 3 -1.</_>
-        <_>
-          2 10 20 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 13 12 -1.</_>
-        <_>
-          3 13 13 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 5 6 -1.</_>
-        <_>
-          9 14 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 21 18 -1.</_>
-        <_>
-          7 8 7 6 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 7 2 -1.</_>
-        <_>
-          10 7 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 4 2 2 -1.</_>
-        <_>
-          20 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 5 -1.</_>
-        <_>
-          10 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 4 2 2 -1.</_>
-        <_>
-          20 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 2 -1.</_>
-        <_>
-          9 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 7 4 -1.</_>
-        <_>
-          7 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 4 -1.</_>
-        <_>
-          9 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 10 -1.</_>
-        <_>
-          9 0 2 5 2.</_>
-        <_>
-          11 5 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 1 -1.</_>
-        <_>
-          6 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 1 -1.</_>
-        <_>
-          14 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 7 2 -1.</_>
-        <_>
-          5 7 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 9 -1.</_>
-        <_>
-          10 8 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 2 -1.</_>
-        <_>
-          10 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 4 7 -1.</_>
-        <_>
-          12 3 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 7 -1.</_>
-        <_>
-          8 3 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 6 6 -1.</_>
-        <_>
-          15 3 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 1 6 -1.</_>
-        <_>
-          0 3 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 6 6 -1.</_>
-        <_>
-          15 3 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 6 6 -1.</_>
-        <_>
-          5 3 2 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 8 2 -1.</_>
-        <_>
-          18 6 4 1 2.</_>
-        <_>
-          14 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 20 20 -1.</_>
-        <_>
-          1 10 20 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 8 2 -1.</_>
-        <_>
-          0 6 4 1 2.</_>
-        <_>
-          4 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 2 -1.</_>
-        <_>
-          13 5 1 1 2.</_>
-        <_>
-          12 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          9 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 10 -1.</_>
-        <_>
-          11 1 1 5 2.</_>
-        <_>
-          10 6 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 5 3 -1.</_>
-        <_>
-          8 5 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 2 3 -1.</_>
-        <_>
-          13 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 3 -1.</_>
-        <_>
-          7 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 18 16 2 -1.</_>
-        <_>
-          13 18 8 1 2.</_>
-        <_>
-          5 19 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 4 6 -1.</_>
-        <_>
-          7 3 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 4 -1.</_>
-        <_>
-          11 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 6 6 -1.</_>
-        <_>
-          16 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 2 -1.</_>
-        <_>
-          9 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 2 -1.</_>
-        <_>
-          13 5 1 1 2.</_>
-        <_>
-          12 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 8 -1.</_>
-        <_>
-          9 2 2 4 2.</_>
-        <_>
-          11 6 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 6 1 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 6 -1.</_>
-        <_>
-          10 10 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          10 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 16 4 -1.</_>
-        <_>
-          7 4 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 16 6 -1.</_>
-        <_>
-          11 2 8 3 2.</_>
-        <_>
-          3 5 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 2 -1.</_>
-        <_>
-          11 0 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 11 6 9 -1.</_>
-        <_>
-          18 11 2 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 18 9 -1.</_>
-        <_>
-          7 8 6 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 7 4 -1.</_>
-        <_>
-          12 5 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 3 -1.</_>
-        <_>
-          10 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 10 -1.</_>
-        <_>
-          11 0 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 8 6 -1.</_>
-        <_>
-          4 4 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 10 -1.</_>
-        <_>
-          11 0 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 3 8 -1.</_>
-        <_>
-          4 4 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 8 4 -1.</_>
-        <_>
-          14 8 4 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 10 1 -1.</_>
-        <_>
-          11 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 6 6 -1.</_>
-        <_>
-          9 8 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 22 1 -1.</_>
-        <_>
-          11 3 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 3 3 -1.</_>
-        <_>
-          13 6 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 20 13 -1.</_>
-        <_>
-          10 4 10 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 1 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 3 -1.</_>
-        <_>
-          10 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 9 -1.</_>
-        <_>
-          10 7 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 13 10 -1.</_>
-        <_>
-          4 13 13 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 9 14 10 -1.</_>
-        <_>
-          4 14 14 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 1 2 -1.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 1 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 3 -1.</_>
-        <_>
-          9 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 1 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 4 -1.</_>
-        <_>
-          10 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 1 -1.</_>
-        <_>
-          11 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 4 -1.</_>
-        <_>
-          9 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 1 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 1 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 1 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 18 3 -1.</_>
-        <_>
-          1 5 18 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 1 2 -1.</_>
-        <_>
-          20 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 1 2 -1.</_>
-        <_>
-          1 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 3 -1.</_>
-        <_>
-          9 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 15 2 2 -1.</_>
-        <_>
-          9 16 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 2 6 -1.</_>
-        <_>
-          13 9 1 3 2.</_>
-        <_>
-          12 12 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 2 -1.</_>
-        <_>
-          12 6 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 2 6 -1.</_>
-        <_>
-          13 9 1 3 2.</_>
-        <_>
-          12 12 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 9 9 -1.</_>
-        <_>
-          9 3 3 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 1 -1.</_>
-        <_>
-          11 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 1 -1.</_>
-        <_>
-          7 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 3 -1.</_>
-        <_>
-          14 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 9 -1.</_>
-        <_>
-          10 6 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          11 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          7 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 1 2 -1.</_>
-        <_>
-          11 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 1 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 4 -1.</_>
-        <_>
-          9 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 3 -1.</_>
-        <_>
-          15 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 3 -1.</_>
-        <_>
-          7 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 1 -1.</_>
-        <_>
-          14 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 15 7 2 -1.</_>
-        <_>
-          4 16 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 10 4 -1.</_>
-        <_>
-          12 6 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 10 4 -1.</_>
-        <_>
-          0 6 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 1 -1.</_>
-        <_>
-          14 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 2 -1.</_>
-        <_>
-          8 6 1 1 2.</_>
-        <_>
-          9 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 2 -1.</_>
-        <_>
-          12 11 1 1 2.</_>
-        <_>
-          11 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 16 20 2 -1.</_>
-        <_>
-          1 16 10 1 2.</_>
-        <_>
-          11 17 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 1 -1.</_>
-        <_>
-          14 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 1 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 1 -1.</_>
-        <_>
-          9 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 1 -1.</_>
-        <_>
-          14 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 1 -1.</_>
-        <_>
-          7 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 4 -1.</_>
-        <_>
-          9 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 2 -1.</_>
-        <_>
-          9 9 2 1 2.</_>
-        <_>
-          11 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 16 1 4 -1.</_>
-        <_>
-          19 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 5 4 -1.</_>
-        <_>
-          8 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 15 18 4 -1.</_>
-        <_>
-          11 15 9 2 2.</_>
-        <_>
-          2 17 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 6 -1.</_>
-        <_>
-          10 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 14 3 1 -1.</_>
-        <_>
-          12 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 1 -1.</_>
-        <_>
-          8 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 3 -1.</_>
-        <_>
-          11 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          10 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 2 6 -1.</_>
-        <_>
-          13 9 1 3 2.</_>
-        <_>
-          12 12 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 3 2 -1.</_>
-        <_>
-          8 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 6 1 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 1 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 3 -1.</_>
-        <_>
-          9 2 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 5 4 -1.</_>
-        <_>
-          4 4 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 22 8 -1.</_>
-        <_>
-          0 8 11 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 3 1 -1.</_>
-        <_>
-          9 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 14 2 2 -1.</_>
-        <_>
-          14 14 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 18 14 1 -1.</_>
-        <_>
-          11 18 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 7 6 -1.</_>
-        <_>
-          12 9 7 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 16 2 4 -1.</_>
-        <_>
-          1 18 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 18 3 1 -1.</_>
-        <_>
-          19 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 18 3 1 -1.</_>
-        <_>
-          2 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 2 3 -1.</_>
-        <_>
-          13 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 4 8 -1.</_>
-        <_>
-          9 14 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 14 12 -1.</_>
-        <_>
-          4 12 14 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 8 4 -1.</_>
-        <_>
-          5 2 4 2 2.</_>
-        <_>
-          9 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 3 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 7 4 -1.</_>
-        <_>
-          7 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 4 -1.</_>
-        <_>
-          9 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 8 8 -1.</_>
-        <_>
-          9 4 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 18 11 -1.</_>
-        <_>
-          8 0 6 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 16 2 -1.</_>
-        <_>
-          3 3 8 1 2.</_>
-        <_>
-          11 4 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          9 2 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          9 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 6 -1.</_>
-        <_>
-          10 9 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 1 2 -1.</_>
-        <_>
-          0 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 4 -1.</_>
-        <_>
-          12 8 1 2 2.</_>
-        <_>
-          11 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 4 -1.</_>
-        <_>
-          7 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 4 -1.</_>
-        <_>
-          11 7 3 2 2.</_>
-        <_>
-          8 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 2 -1.</_>
-        <_>
-          4 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 8 3 -1.</_>
-        <_>
-          6 2 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 6 -1.</_>
-        <_>
-          13 0 3 3 2.</_>
-        <_>
-          10 3 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 6 -1.</_>
-        <_>
-          6 8 3 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 14 2 -1.</_>
-        <_>
-          11 6 7 1 2.</_>
-        <_>
-          4 7 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 16 1 3 -1.</_>
-        <_>
-          9 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 10 20 10 -1.</_>
-        <_>
-          1 15 20 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 16 14 -1.</_>
-        <_>
-          3 13 16 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 6 -1.</_>
-        <_>
-          7 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 3 -1.</_>
-        <_>
-          9 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 8 -1.</_>
-        <_>
-          11 2 3 4 2.</_>
-        <_>
-          8 6 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 4 -1.</_>
-        <_>
-          8 4 3 2 2.</_>
-        <_>
-          11 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 4 -1.</_>
-        <_>
-          7 6 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 4 -1.</_>
-        <_>
-          14 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 4 -1.</_>
-        <_>
-          7 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 1 -1.</_>
-        <_>
-          6 0 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 4 -1.</_>
-        <_>
-          10 6 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 4 -1.</_>
-        <_>
-          11 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 9 -1.</_>
-        <_>
-          9 7 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          11 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 12 -1.</_>
-        <_>
-          6 13 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 2 -1.</_>
-        <_>
-          11 5 1 1 2.</_>
-        <_>
-          10 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 3 -1.</_>
-        <_>
-          9 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 3 -1.</_>
-        <_>
-          15 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 3 -1.</_>
-        <_>
-          5 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 7 4 -1.</_>
-        <_>
-          9 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 4 -1.</_>
-        <_>
-          9 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 5 8 -1.</_>
-        <_>
-          11 5 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 1 4 -1.</_>
-        <_>
-          10 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 1 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 1 -1.</_>
-        <_>
-          10 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 5 3 -1.</_>
-        <_>
-          9 5 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 1 2 -1.</_>
-        <_>
-          10 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 14 19 3 -1.</_>
-        <_>
-          2 15 19 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 18 5 2 -1.</_>
-        <_>
-          2 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 2 -1.</_>
-        <_>
-          5 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 3 1 -1.</_>
-        <_>
-          19 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 8 -1.</_>
-        <_>
-          8 4 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 5 8 -1.</_>
-        <_>
-          6 5 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 6 2 -1.</_>
-        <_>
-          11 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 18 2 2 -1.</_>
-        <_>
-          17 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          8 9 3 1 2.</_>
-        <_>
-          11 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 2 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 22 17 -1.</_>
-        <_>
-          11 0 11 17 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 17 2 3 -1.</_>
-        <_>
-          14 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 4 -1.</_>
-        <_>
-          11 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 6 2 4 -1.</_>
-        <_>
-          18 6 1 2 2.</_>
-        <_>
-          17 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 4 -1.</_>
-        <_>
-          10 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 6 2 4 -1.</_>
-        <_>
-          18 6 1 2 2.</_>
-        <_>
-          17 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 17 2 3 -1.</_>
-        <_>
-          6 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 6 -1.</_>
-        <_>
-          8 2 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 6 3 -1.</_>
-        <_>
-          8 0 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 6 3 3 -1.</_>
-        <_>
-          20 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 3 1 -1.</_>
-        <_>
-          2 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 16 3 2 -1.</_>
-        <_>
-          19 16 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 3 3 -1.</_>
-        <_>
-          1 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 16 3 2 -1.</_>
-        <_>
-          19 16 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 16 3 2 -1.</_>
-        <_>
-          2 16 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 8 -1.</_>
-        <_>
-          19 0 2 4 2.</_>
-        <_>
-          17 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 3 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 3 -1.</_>
-        <_>
-          8 6 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 18 2 2 -1.</_>
-        <_>
-          3 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 1 -1.</_>
-        <_>
-          10 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 2 -1.</_>
-        <_>
-          8 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 4 -1.</_>
-        <_>
-          6 1 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 6 -1.</_>
-        <_>
-          10 6 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 6 -1.</_>
-        <_>
-          8 8 1 3 2.</_>
-        <_>
-          9 11 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 2 -1.</_>
-        <_>
-          11 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 4 -1.</_>
-        <_>
-          8 9 1 2 2.</_>
-        <_>
-          9 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 1 4 -1.</_>
-        <_>
-          11 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 8 -1.</_>
-        <_>
-          1 0 2 4 2.</_>
-        <_>
-          3 4 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 4 3 -1.</_>
-        <_>
-          8 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 12 2 2 -1.</_>
-        <_>
-          20 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 1 2 -1.</_>
-        <_>
-          0 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 3 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 8 1 -1.</_>
-        <_>
-          7 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 18 12 -1.</_>
-        <_>
-          9 9 6 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 6 5 -1.</_>
-        <_>
-          13 11 2 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 3 6 -1.</_>
-        <_>
-          10 9 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 18 18 2 -1.</_>
-        <_>
-          11 18 9 1 2.</_>
-        <_>
-          2 19 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 14 -1.</_>
-        <_>
-          9 7 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 8 4 -1.</_>
-        <_>
-          13 9 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 2 2 -1.</_>
-        <_>
-          4 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 8 4 -1.</_>
-        <_>
-          13 9 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 4 8 -1.</_>
-        <_>
-          9 9 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 2 -1.</_>
-        <_>
-          17 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 9 -1.</_>
-        <_>
-          8 7 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 9 7 -1.</_>
-        <_>
-          11 8 3 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 4 -1.</_>
-        <_>
-          10 8 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 3 6 -1.</_>
-        <_>
-          11 10 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 15 4 4 -1.</_>
-        <_>
-          4 15 2 2 2.</_>
-        <_>
-          6 17 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 4 4 -1.</_>
-        <_>
-          12 5 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 6 -1.</_>
-        <_>
-          9 4 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 2 -1.</_>
-        <_>
-          11 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 2 -1.</_>
-        <_>
-          10 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 3 -1.</_>
-        <_>
-          13 9 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 14 1 2 -1.</_>
-        <_>
-          7 14 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 3 -1.</_>
-        <_>
-          13 9 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 3 3 -1.</_>
-        <_>
-          9 9 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 6 -1.</_>
-        <_>
-          7 0 2 3 2.</_>
-        <_>
-          9 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 18 10 2 -1.</_>
-        <_>
-          6 19 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 17 1 3 -1.</_>
-        <_>
-          10 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 4 -1.</_>
-        <_>
-          14 0 6 2 2.</_>
-        <_>
-          8 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 2 -1.</_>
-        <_>
-          11 0 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 14 7 2 -1.</_>
-        <_>
-          14 15 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 6 -1.</_>
-        <_>
-          2 0 6 3 2.</_>
-        <_>
-          8 3 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 2 -1.</_>
-        <_>
-          11 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 6 -1.</_>
-        <_>
-          8 10 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 10 4 -1.</_>
-        <_>
-          12 6 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 18 3 1 -1.</_>
-        <_>
-          4 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 12 18 -1.</_>
-        <_>
-          8 11 12 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 4 10 -1.</_>
-        <_>
-          10 6 2 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 1 14 4 -1.</_>
-        <_>
-          11 1 7 2 2.</_>
-        <_>
-          4 3 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 18 9 -1.</_>
-        <_>
-          8 1 6 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 1 -1.</_>
-        <_>
-          10 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 2 2 -1.</_>
-        <_>
-          9 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 4 1 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 13 12 7 -1.</_>
-        <_>
-          4 13 4 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 1 -1.</_>
-        <_>
-          13 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 1 -1.</_>
-        <_>
-          7 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 4 12 -1.</_>
-        <_>
-          14 12 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 17 2 2 -1.</_>
-        <_>
-          4 18 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 5 2 -1.</_>
-        <_>
-          16 3 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 15 6 -1.</_>
-        <_>
-          8 2 5 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 5 3 -1.</_>
-        <_>
-          9 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 19 2 -1.</_>
-        <_>
-          0 18 19 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 15 1 2 -1.</_>
-        <_>
-          18 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 4 5 -1.</_>
-        <_>
-          6 10 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 18 2 -1.</_>
-        <_>
-          3 6 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 6 -1.</_>
-        <_>
-          10 7 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 2 -1.</_>
-        <_>
-          13 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          9 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 9 6 10 -1.</_>
-        <_>
-          13 9 3 5 2.</_>
-        <_>
-          10 14 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 6 8 -1.</_>
-        <_>
-          2 9 3 4 2.</_>
-        <_>
-          5 13 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 1 3 -1.</_>
-        <_>
-          13 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 17 1 3 -1.</_>
-        <_>
-          8 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 7 3 -1.</_>
-        <_>
-          12 12 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 2 -1.</_>
-        <_>
-          12 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          9 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 6 -1.</_>
-        <_>
-          9 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 3 -1.</_>
-        <_>
-          10 10 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          16 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 4 -1.</_>
-        <_>
-          4 1 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 4 -1.</_>
-        <_>
-          13 1 2 2 2.</_>
-        <_>
-          11 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 6 4 -1.</_>
-        <_>
-          6 1 3 2 2.</_>
-        <_>
-          9 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 3 -1.</_>
-        <_>
-          10 1 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 1 -1.</_>
-        <_>
-          10 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 18 12 -1.</_>
-        <_>
-          7 9 6 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 12 12 -1.</_>
-        <_>
-          9 1 4 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 11 -1.</_>
-        <_>
-          8 3 3 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 5 -1.</_>
-        <_>
-          10 0 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 9 -1.</_>
-        <_>
-          12 6 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          9 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 18 8 -1.</_>
-        <_>
-          3 5 18 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 2 -1.</_>
-        <_>
-          5 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 3 -1.</_>
-        <_>
-          11 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 5 4 -1.</_>
-        <_>
-          10 0 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 3 -1.</_>
-        <_>
-          11 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 1 -1.</_>
-        <_>
-          10 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 3 -1.</_>
-        <_>
-          11 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 4 -1.</_>
-        <_>
-          11 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 3 -1.</_>
-        <_>
-          13 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 3 -1.</_>
-        <_>
-          6 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 6 9 -1.</_>
-        <_>
-          12 7 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 3 7 -1.</_>
-        <_>
-          7 2 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 15 3 -1.</_>
-        <_>
-          12 1 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 9 -1.</_>
-        <_>
-          8 7 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 2 6 -1.</_>
-        <_>
-          14 9 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 13 4 2 -1.</_>
-        <_>
-          10 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 2 -1.</_>
-        <_>
-          12 11 1 1 2.</_>
-        <_>
-          11 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 3 -1.</_>
-        <_>
-          11 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 16 1 4 -1.</_>
-        <_>
-          18 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 2 1 -1.</_>
-        <_>
-          8 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 13 6 1 -1.</_>
-        <_>
-          14 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 13 6 1 -1.</_>
-        <_>
-          6 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 15 3 -1.</_>
-        <_>
-          12 1 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 3 -1.</_>
-        <_>
-          5 1 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 3 -1.</_>
-        <_>
-          13 1 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 7 4 -1.</_>
-        <_>
-          6 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 1 -1.</_>
-        <_>
-          10 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 14 20 3 -1.</_>
-        <_>
-          1 15 20 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 6 2 -1.</_>
-        <_>
-          2 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 16 6 4 -1.</_>
-        <_>
-          17 16 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 16 6 4 -1.</_>
-        <_>
-          3 16 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 1 3 -1.</_>
-        <_>
-          13 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 16 10 -1.</_>
-        <_>
-          3 13 16 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 12 1 2 -1.</_>
-        <_>
-          12 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 1 2 -1.</_>
-        <_>
-          9 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 4 3 -1.</_>
-        <_>
-          9 13 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 4 2 -1.</_>
-        <_>
-          3 6 2 1 2.</_>
-        <_>
-          5 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 1 3 -1.</_>
-        <_>
-          13 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 15 1 4 -1.</_>
-        <_>
-          9 17 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 2 -1.</_>
-        <_>
-          14 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 5 -1.</_>
-        <_>
-          12 1 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 2 -1.</_>
-        <_>
-          11 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 4 3 -1.</_>
-        <_>
-          11 2 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 6 -1.</_>
-        <_>
-          11 2 3 3 2.</_>
-        <_>
-          8 5 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 18 1 2 -1.</_>
-        <_>
-          8 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 7 3 -1.</_>
-        <_>
-          9 11 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 6 -1.</_>
-        <_>
-          10 3 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 15 17 2 -1.</_>
-        <_>
-          3 16 17 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 13 1 2 -1.</_>
-        <_>
-          4 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 1 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 11 -1.</_>
-        <_>
-          10 4 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 10 2 4 -1.</_>
-        <_>
-          18 10 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 10 4 2 -1.</_>
-        <_>
-          4 10 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 11 2 2 -1.</_>
-        <_>
-          14 11 1 1 2.</_>
-        <_>
-          13 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 15 12 -1.</_>
-        <_>
-          7 10 5 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 4 3 -1.</_>
-        <_>
-          12 11 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 4 3 -1.</_>
-        <_>
-          6 11 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 12 15 -1.</_>
-        <_>
-          11 4 4 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 8 13 -1.</_>
-        <_>
-          7 5 4 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          15 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 1 -1.</_>
-        <_>
-          5 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 1 -1.</_>
-        <_>
-          12 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 1 -1.</_>
-        <_>
-          9 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 4 -1.</_>
-        <_>
-          11 7 2 2 2.</_>
-        <_>
-          9 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 2 -1.</_>
-        <_>
-          11 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 2 -1.</_>
-        <_>
-          11 4 1 1 2.</_>
-        <_>
-          10 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 1 -1.</_>
-        <_>
-          9 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 6 -1.</_>
-        <_>
-          10 4 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 2 -1.</_>
-        <_>
-          8 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 6 -1.</_>
-        <_>
-          0 3 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 12 8 -1.</_>
-        <_>
-          8 1 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 3 5 -1.</_>
-        <_>
-          1 0 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 4 -1.</_>
-        <_>
-          8 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 11 4 -1.</_>
-        <_>
-          5 2 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 6 -1.</_>
-        <_>
-          12 4 2 3 2.</_>
-        <_>
-          10 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 6 -1.</_>
-        <_>
-          9 4 2 3 2.</_>
-        <_>
-          11 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 3 -1.</_>
-        <_>
-          12 5 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 3 -1.</_>
-        <_>
-          10 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          9 2 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 2 1 -1.</_>
-        <_>
-          4 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 2 -1.</_>
-        <_>
-          13 5 1 1 2.</_>
-        <_>
-          12 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 4 4 -1.</_>
-        <_>
-          2 4 2 2 2.</_>
-        <_>
-          4 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 5 -1.</_>
-        <_>
-          14 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 6 -1.</_>
-        <_>
-          9 8 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 3 -1.</_>
-        <_>
-          9 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 8 8 -1.</_>
-        <_>
-          3 4 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 18 14 -1.</_>
-        <_>
-          2 12 18 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 15 10 -1.</_>
-        <_>
-          3 14 15 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 2 1 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 14 20 1 -1.</_>
-        <_>
-          5 14 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 2 1 -1.</_>
-        <_>
-          17 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 2 2 -1.</_>
-        <_>
-          8 5 1 1 2.</_>
-        <_>
-          9 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          11 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 14 8 6 -1.</_>
-        <_>
-          14 14 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          8 9 3 1 2.</_>
-        <_>
-          11 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 5 -1.</_>
-        <_>
-          14 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 2 3 -1.</_>
-        <_>
-          4 2 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 4 2 -1.</_>
-        <_>
-          13 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 4 6 -1.</_>
-        <_>
-          7 6 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 10 -1.</_>
-        <_>
-          10 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 1 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 18 18 -1.</_>
-        <_>
-          4 0 9 18 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 3 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 2 -1.</_>
-        <_>
-          9 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 4 5 -1.</_>
-        <_>
-          12 5 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 8 1 4 -1.</_>
-        <_>
-          11 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 8 5 -1.</_>
-        <_>
-          4 15 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 17 10 3 -1.</_>
-        <_>
-          12 17 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 1 2 -1.</_>
-        <_>
-          0 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 1 -1.</_>
-        <_>
-          11 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 8 3 -1.</_>
-        <_>
-          4 17 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 16 1 2 -1.</_>
-        <_>
-          16 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 18 -1.</_>
-        <_>
-          9 0 9 18 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 12 -1.</_>
-        <_>
-          8 3 3 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 1 -1.</_>
-        <_>
-          7 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 3 1 -1.</_>
-        <_>
-          14 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 16 1 2 -1.</_>
-        <_>
-          5 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 3 1 -1.</_>
-        <_>
-          14 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 1 -1.</_>
-        <_>
-          7 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 10 2 -1.</_>
-        <_>
-          11 3 5 1 2.</_>
-        <_>
-          6 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 6 -1.</_>
-        <_>
-          10 0 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 3 -1.</_>
-        <_>
-          13 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 20 6 -1.</_>
-        <_>
-          0 2 10 3 2.</_>
-        <_>
-          10 5 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 4 -1.</_>
-        <_>
-          9 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 20 3 -1.</_>
-        <_>
-          0 13 20 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 3 -1.</_>
-        <_>
-          13 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 3 -1.</_>
-        <_>
-          10 4 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 2 -1.</_>
-        <_>
-          12 4 2 1 2.</_>
-        <_>
-          10 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 2 -1.</_>
-        <_>
-          9 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 1 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 6 4 -1.</_>
-        <_>
-          12 4 3 2 2.</_>
-        <_>
-          9 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 3 -1.</_>
-        <_>
-          8 5 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 2 -1.</_>
-        <_>
-          13 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 2 -1.</_>
-        <_>
-          6 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 5 3 -1.</_>
-        <_>
-          11 1 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 19 12 -1.</_>
-        <_>
-          0 5 19 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 15 16 -1.</_>
-        <_>
-          6 12 15 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 4 2 -1.</_>
-        <_>
-          9 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 8 4 -1.</_>
-        <_>
-          14 8 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 16 4 4 -1.</_>
-        <_>
-          3 17 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 3 -1.</_>
-        <_>
-          9 6 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 3 -1.</_>
-        <_>
-          10 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 3 8 -1.</_>
-        <_>
-          15 2 1 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 6 -1.</_>
-        <_>
-          7 1 1 3 2.</_>
-        <_>
-          8 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 5 3 -1.</_>
-        <_>
-          11 1 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 8 -1.</_>
-        <_>
-          3 0 5 4 2.</_>
-        <_>
-          8 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 9 -1.</_>
-        <_>
-          16 1 1 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 9 3 -1.</_>
-        <_>
-          6 1 9 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 4 -1.</_>
-        <_>
-          10 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 2 4 -1.</_>
-        <_>
-          21 2 1 2 2.</_>
-        <_>
-          20 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 1 6 -1.</_>
-        <_>
-          10 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 2 2 -1.</_>
-        <_>
-          15 8 1 1 2.</_>
-        <_>
-          14 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 2 -1.</_>
-        <_>
-          8 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 15 20 3 -1.</_>
-        <_>
-          6 15 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 7 2 -1.</_>
-        <_>
-          1 18 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 2 4 -1.</_>
-        <_>
-          21 2 1 2 2.</_>
-        <_>
-          20 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 2 2 -1.</_>
-        <_>
-          0 12 1 1 2.</_>
-        <_>
-          1 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 17 1 2 -1.</_>
-        <_>
-          19 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 5 -1.</_>
-        <_>
-          11 1 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 17 2 2 -1.</_>
-        <_>
-          18 18 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 17 1 2 -1.</_>
-        <_>
-          2 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 8 4 -1.</_>
-        <_>
-          14 8 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 22 15 -1.</_>
-        <_>
-          11 2 11 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 4 2 -1.</_>
-        <_>
-          13 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 4 2 -1.</_>
-        <_>
-          7 3 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 16 4 -1.</_>
-        <_>
-          8 2 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 18 4 1 -1.</_>
-        <_>
-          10 18 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 2 4 -1.</_>
-        <_>
-          21 2 1 2 2.</_>
-        <_>
-          20 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 2 2 -1.</_>
-        <_>
-          2 12 1 1 2.</_>
-        <_>
-          3 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 2 4 -1.</_>
-        <_>
-          21 2 1 2 2.</_>
-        <_>
-          20 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 2 2 -1.</_>
-        <_>
-          1 12 1 1 2.</_>
-        <_>
-          2 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 2 2 4 -1.</_>
-        <_>
-          21 2 1 2 2.</_>
-        <_>
-          20 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 2 4 -1.</_>
-        <_>
-          0 2 1 2 2.</_>
-        <_>
-          1 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 11 8 -1.</_>
-        <_>
-          5 3 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 3 2 -1.</_>
-        <_>
-          17 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 7 -1.</_>
-        <_>
-          9 10 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 17 1 3 -1.</_>
-        <_>
-          13 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 7 -1.</_>
-        <_>
-          7 9 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 5 10 4 -1.</_>
-        <_>
-          11 5 5 2 2.</_>
-        <_>
-          6 7 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 8 3 -1.</_>
-        <_>
-          5 6 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 1 3 -1.</_>
-        <_>
-          13 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 9 -1.</_>
-        <_>
-          8 6 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 12 5 -1.</_>
-        <_>
-          9 8 4 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 6 -1.</_>
-        <_>
-          10 5 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 3 5 -1.</_>
-        <_>
-          15 7 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 17 1 3 -1.</_>
-        <_>
-          8 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 5 3 -1.</_>
-        <_>
-          9 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 3 2 -1.</_>
-        <_>
-          17 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 10 2 3 -1.</_>
-        <_>
-          5 11 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 14 3 4 -1.</_>
-        <_>
-          17 16 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 7 4 -1.</_>
-        <_>
-          5 11 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 1 4 -1.</_>
-        <_>
-          12 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 4 1 -1.</_>
-        <_>
-          10 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 5 -1.</_>
-        <_>
-          13 9 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 4 -1.</_>
-        <_>
-          8 7 3 2 2.</_>
-        <_>
-          11 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 2 -1.</_>
-        <_>
-          8 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 3 -1.</_>
-        <_>
-          4 1 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 5 -1.</_>
-        <_>
-          13 9 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 5 3 -1.</_>
-        <_>
-          9 9 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 8 3 8 -1.</_>
-        <_>
-          13 8 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 3 8 -1.</_>
-        <_>
-          8 8 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 6 -1.</_>
-        <_>
-          8 9 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 1 18 -1.</_>
-        <_>
-          4 11 1 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 6 -1.</_>
-        <_>
-          15 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 3 8 -1.</_>
-        <_>
-          3 13 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 11 1 2 -1.</_>
-        <_>
-          20 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 1 2 -1.</_>
-        <_>
-          1 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 6 -1.</_>
-        <_>
-          15 3 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 18 4 -1.</_>
-        <_>
-          2 2 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 6 6 -1.</_>
-        <_>
-          9 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 7 4 -1.</_>
-        <_>
-          3 3 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 3 -1.</_>
-        <_>
-          13 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          9 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 18 12 2 -1.</_>
-        <_>
-          14 18 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 12 2 -1.</_>
-        <_>
-          4 18 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 16 8 -1.</_>
-        <_>
-          9 9 8 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 16 8 -1.</_>
-        <_>
-          5 9 8 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 16 1 2 -1.</_>
-        <_>
-          20 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 4 -1.</_>
-        <_>
-          11 0 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 6 -1.</_>
-        <_>
-          9 4 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 4 5 -1.</_>
-        <_>
-          13 4 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 4 5 -1.</_>
-        <_>
-          7 4 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 4 -1.</_>
-        <_>
-          8 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 15 1 4 -1.</_>
-        <_>
-          3 16 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 6 -1.</_>
-        <_>
-          10 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 16 6 4 -1.</_>
-        <_>
-          6 17 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 6 -1.</_>
-        <_>
-          10 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 9 18 -1.</_>
-        <_>
-          7 8 3 6 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 4 -1.</_>
-        <_>
-          8 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          9 2 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 4 2 -1.</_>
-        <_>
-          18 0 2 1 2.</_>
-        <_>
-          16 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 3 -1.</_>
-        <_>
-          8 6 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 12 -1.</_>
-        <_>
-          8 0 2 6 2.</_>
-        <_>
-          10 6 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 10 14 -1.</_>
-        <_>
-          17 4 5 7 2.</_>
-        <_>
-          12 11 5 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 1 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          10 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 6 -1.</_>
-        <_>
-          10 10 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 7 8 -1.</_>
-        <_>
-          12 13 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 5 -1.</_>
-        <_>
-          7 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 12 1 -1.</_>
-        <_>
-          5 3 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 8 2 -1.</_>
-        <_>
-          8 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 6 -1.</_>
-        <_>
-          11 0 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 6 -1.</_>
-        <_>
-          10 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 1 4 -1.</_>
-        <_>
-          16 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 12 2 -1.</_>
-        <_>
-          5 3 6 1 2.</_>
-        <_>
-          11 4 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 13 10 -1.</_>
-        <_>
-          7 7 13 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 2 8 -1.</_>
-        <_>
-          21 1 1 4 2.</_>
-        <_>
-          20 5 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 2 -1.</_>
-        <_>
-          9 11 1 1 2.</_>
-        <_>
-          10 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 3 -1.</_>
-        <_>
-          11 10 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 4 2 -1.</_>
-        <_>
-          2 6 2 1 2.</_>
-        <_>
-          4 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 4 2 -1.</_>
-        <_>
-          18 6 2 1 2.</_>
-        <_>
-          16 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          11 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 4 -1.</_>
-        <_>
-          11 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 2 2 -1.</_>
-        <_>
-          8 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 4 -1.</_>
-        <_>
-          11 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 2 -1.</_>
-        <_>
-          3 6 1 1 2.</_>
-        <_>
-          4 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 7 6 -1.</_>
-        <_>
-          13 9 7 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 16 2 2 -1.</_>
-        <_>
-          1 16 1 1 2.</_>
-        <_>
-          2 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 16 2 2 -1.</_>
-        <_>
-          20 16 1 1 2.</_>
-        <_>
-          19 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 16 2 2 -1.</_>
-        <_>
-          1 16 1 1 2.</_>
-        <_>
-          2 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 2 1 -1.</_>
-        <_>
-          15 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 2 1 -1.</_>
-        <_>
-          6 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 7 1 12 -1.</_>
-        <_>
-          21 7 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 6 7 -1.</_>
-        <_>
-          9 9 2 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 8 6 6 -1.</_>
-        <_>
-          14 10 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 16 16 1 -1.</_>
-        <_>
-          11 16 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 1 -1.</_>
-        <_>
-          10 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 8 5 -1.</_>
-        <_>
-          9 4 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 6 3 -1.</_>
-        <_>
-          9 9 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 4 2 -1.</_>
-        <_>
-          11 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 6 3 5 -1.</_>
-        <_>
-          15 7 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 9 6 3 -1.</_>
-        <_>
-          10 9 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 6 6 -1.</_>
-        <_>
-          14 10 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 12 12 6 -1.</_>
-        <_>
-          4 12 6 3 2.</_>
-        <_>
-          10 15 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 3 3 -1.</_>
-        <_>
-          13 18 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 17 3 3 -1.</_>
-        <_>
-          6 18 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 17 1 3 -1.</_>
-        <_>
-          15 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 17 1 3 -1.</_>
-        <_>
-          6 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 4 -1.</_>
-        <_>
-          10 1 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 4 -1.</_>
-        <_>
-          9 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 16 2 2 -1.</_>
-        <_>
-          20 16 1 1 2.</_>
-        <_>
-          19 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 4 10 -1.</_>
-        <_>
-          4 13 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 16 1 2 -1.</_>
-        <_>
-          19 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 3 6 -1.</_>
-        <_>
-          5 13 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 2 -1.</_>
-        <_>
-          11 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 2 -1.</_>
-        <_>
-          11 0 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 16 2 2 -1.</_>
-        <_>
-          20 16 1 1 2.</_>
-        <_>
-          19 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 16 2 2 -1.</_>
-        <_>
-          1 16 1 1 2.</_>
-        <_>
-          2 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 4 4 -1.</_>
-        <_>
-          11 6 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 16 1 2 -1.</_>
-        <_>
-          1 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 16 10 -1.</_>
-        <_>
-          5 5 16 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 4 -1.</_>
-        <_>
-          11 6 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 2 -1.</_>
-        <_>
-          11 9 1 1 2.</_>
-        <_>
-          10 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 2 -1.</_>
-        <_>
-          3 0 5 1 2.</_>
-        <_>
-          8 1 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 2 -1.</_>
-        <_>
-          21 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 2 2 -1.</_>
-        <_>
-          2 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 3 -1.</_>
-        <_>
-          9 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 1 2 -1.</_>
-        <_>
-          18 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 7 3 -1.</_>
-        <_>
-          9 2 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 6 -1.</_>
-        <_>
-          8 8 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 3 7 -1.</_>
-        <_>
-          8 9 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 9 3 2 -1.</_>
-        <_>
-          19 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 1 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 6 -1.</_>
-        <_>
-          11 6 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 3 -1.</_>
-        <_>
-          10 1 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 0 1 2 -1.</_>
-        <_>
-          18 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 9 -1.</_>
-        <_>
-          10 3 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 0 1 2 -1.</_>
-        <_>
-          18 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 3 2 -1.</_>
-        <_>
-          0 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 3 -1.</_>
-        <_>
-          10 1 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 4 -1.</_>
-        <_>
-          8 8 1 2 2.</_>
-        <_>
-          9 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 4 -1.</_>
-        <_>
-          12 7 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 1 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 11 11 3 -1.</_>
-        <_>
-          8 12 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 12 3 -1.</_>
-        <_>
-          9 5 4 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 6 -1.</_>
-        <_>
-          11 6 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 4 -1.</_>
-        <_>
-          9 6 2 2 2.</_>
-        <_>
-          11 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 11 -1.</_>
-        <_>
-          12 5 1 11 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 4 -1.</_>
-        <_>
-          10 5 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 11 -1.</_>
-        <_>
-          12 5 1 11 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 2 -1.</_>
-        <_>
-          9 9 2 1 2.</_>
-        <_>
-          11 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 10 3 -1.</_>
-        <_>
-          11 5 5 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 9 16 11 -1.</_>
-        <_>
-          7 9 8 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 14 4 3 -1.</_>
-        <_>
-          18 15 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 14 5 -1.</_>
-        <_>
-          7 7 7 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 6 10 -1.</_>
-        <_>
-          13 6 3 5 2.</_>
-        <_>
-          10 11 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 12 8 -1.</_>
-        <_>
-          5 6 6 4 2.</_>
-        <_>
-          11 10 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 1 2 -1.</_>
-        <_>
-          3 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 4 3 -1.</_>
-        <_>
-          19 17 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 4 3 -1.</_>
-        <_>
-          1 17 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 14 4 3 -1.</_>
-        <_>
-          18 15 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 6 -1.</_>
-        <_>
-          0 0 7 3 2.</_>
-        <_>
-          7 3 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 8 11 -1.</_>
-        <_>
-          14 0 4 11 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 11 8 -1.</_>
-        <_>
-          8 0 11 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 14 4 3 -1.</_>
-        <_>
-          18 15 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 4 3 -1.</_>
-        <_>
-          0 15 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 11 -1.</_>
-        <_>
-          12 5 1 11 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 11 3 -1.</_>
-        <_>
-          10 5 11 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 6 -1.</_>
-        <_>
-          11 3 3 3 2.</_>
-        <_>
-          8 6 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          10 7 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 2 -1.</_>
-        <_>
-          12 11 1 1 2.</_>
-        <_>
-          11 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 9 -1.</_>
-        <_>
-          9 7 1 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 12 2 1 -1.</_>
-        <_>
-          19 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 1 2 -1.</_>
-        <_>
-          3 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 10 4 -1.</_>
-        <_>
-          9 2 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 2 -1.</_>
-        <_>
-          9 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 9 9 -1.</_>
-        <_>
-          12 5 9 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 6 17 -1.</_>
-        <_>
-          6 3 2 17 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 13 16 -1.</_>
-        <_>
-          8 12 13 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 9 9 -1.</_>
-        <_>
-          1 5 9 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 3 2 -1.</_>
-        <_>
-          13 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 3 14 -1.</_>
-        <_>
-          6 6 1 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 4 -1.</_>
-        <_>
-          15 2 1 2 2.</_>
-        <_>
-          14 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 3 -1.</_>
-        <_>
-          11 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 4 3 -1.</_>
-        <_>
-          9 0 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 6 -1.</_>
-        <_>
-          8 2 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 9 -1.</_>
-        <_>
-          10 6 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 4 -1.</_>
-        <_>
-          11 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 4 -1.</_>
-        <_>
-          10 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 3 -1.</_>
-        <_>
-          9 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 18 2 2 -1.</_>
-        <_>
-          6 18 1 1 2.</_>
-        <_>
-          7 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 12 -1.</_>
-        <_>
-          10 4 2 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 1 3 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 4 6 -1.</_>
-        <_>
-          9 10 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 2 -1.</_>
-        <_>
-          9 3 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 2 -1.</_>
-        <_>
-          9 1 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 1 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 14 10 6 -1.</_>
-        <_>
-          5 14 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 17 10 2 -1.</_>
-        <_>
-          12 17 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 10 2 -1.</_>
-        <_>
-          5 17 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 16 1 2 -1.</_>
-        <_>
-          15 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 5 3 -1.</_>
-        <_>
-          8 3 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 12 12 -1.</_>
-        <_>
-          16 7 6 6 2.</_>
-        <_>
-          10 13 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 14 -1.</_>
-        <_>
-          3 7 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 3 -1.</_>
-        <_>
-          11 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 15 18 4 -1.</_>
-        <_>
-          1 17 18 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 1 3 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 16 1 2 -1.</_>
-        <_>
-          6 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 6 -1.</_>
-        <_>
-          11 3 1 3 2.</_>
-        <_>
-          10 6 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 1 3 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 6 3 -1.</_>
-        <_>
-          11 12 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 11 6 3 -1.</_>
-        <_>
-          5 12 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 12 6 -1.</_>
-        <_>
-          11 7 6 3 2.</_>
-        <_>
-          5 10 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 5 6 -1.</_>
-        <_>
-          3 13 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 8 8 -1.</_>
-        <_>
-          15 12 4 4 2.</_>
-        <_>
-          11 16 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 8 8 -1.</_>
-        <_>
-          3 12 4 4 2.</_>
-        <_>
-          7 16 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 12 2 1 -1.</_>
-        <_>
-          16 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 4 4 -1.</_>
-        <_>
-          5 14 2 2 2.</_>
-        <_>
-          7 16 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 1 -1.</_>
-        <_>
-          9 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 3 -1.</_>
-        <_>
-          9 6 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 2 -1.</_>
-        <_>
-          4 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 2 2 -1.</_>
-        <_>
-          17 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 7 3 -1.</_>
-        <_>
-          3 13 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 2 2 -1.</_>
-        <_>
-          17 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 2 -1.</_>
-        <_>
-          4 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 3 -1.</_>
-        <_>
-          14 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 1 -1.</_>
-        <_>
-          7 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 8 -1.</_>
-        <_>
-          11 1 2 4 2.</_>
-        <_>
-          9 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 3 3 -1.</_>
-        <_>
-          9 2 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 6 -1.</_>
-        <_>
-          12 4 1 3 2.</_>
-        <_>
-          11 7 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 6 -1.</_>
-        <_>
-          9 3 2 3 2.</_>
-        <_>
-          11 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 3 2 -1.</_>
-        <_>
-          14 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 2 -1.</_>
-        <_>
-          7 7 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 18 5 2 -1.</_>
-        <_>
-          14 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 18 14 2 -1.</_>
-        <_>
-          4 18 7 1 2.</_>
-        <_>
-          11 19 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 18 2 2 -1.</_>
-        <_>
-          14 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 3 -1.</_>
-        <_>
-          9 8 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 18 2 2 -1.</_>
-        <_>
-          14 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 2 -1.</_>
-        <_>
-          10 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 18 2 2 -1.</_>
-        <_>
-          14 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 1 -1.</_>
-        <_>
-          11 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          9 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 17 4 3 -1.</_>
-        <_>
-          4 18 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 2 -1.</_>
-        <_>
-          12 11 1 1 2.</_>
-        <_>
-          11 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 4 -1.</_>
-        <_>
-          8 6 3 2 2.</_>
-        <_>
-          11 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 3 -1.</_>
-        <_>
-          12 6 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 3 -1.</_>
-        <_>
-          10 6 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 3 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 16 2 -1.</_>
-        <_>
-          3 6 8 1 2.</_>
-        <_>
-          11 7 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 12 6 -1.</_>
-        <_>
-          11 3 6 3 2.</_>
-        <_>
-          5 6 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 9 -1.</_>
-        <_>
-          8 5 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 17 2 3 -1.</_>
-        <_>
-          15 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 2 -1.</_>
-        <_>
-          7 7 1 1 2.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 17 2 3 -1.</_>
-        <_>
-          15 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 2 -1.</_>
-        <_>
-          9 11 1 1 2.</_>
-        <_>
-          10 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 2 4 -1.</_>
-        <_>
-          21 6 1 2 2.</_>
-        <_>
-          20 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 2 -1.</_>
-        <_>
-          9 11 1 1 2.</_>
-        <_>
-          10 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 2 4 -1.</_>
-        <_>
-          21 6 1 2 2.</_>
-        <_>
-          20 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 7 3 -1.</_>
-        <_>
-          7 3 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 4 -1.</_>
-        <_>
-          15 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 1 8 -1.</_>
-        <_>
-          10 10 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 1 3 -1.</_>
-        <_>
-          12 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 3 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 17 2 3 -1.</_>
-        <_>
-          15 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 17 2 3 -1.</_>
-        <_>
-          5 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 2 -1.</_>
-        <_>
-          12 6 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 10 -1.</_>
-        <_>
-          10 0 1 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 8 -1.</_>
-        <_>
-          11 5 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 1 -1.</_>
-        <_>
-          10 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 2 -1.</_>
-        <_>
-          13 1 1 1 2.</_>
-        <_>
-          12 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 4 -1.</_>
-        <_>
-          0 6 1 2 2.</_>
-        <_>
-          1 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 17 6 1 -1.</_>
-        <_>
-          18 17 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 6 1 -1.</_>
-        <_>
-          2 17 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 18 1 2 -1.</_>
-        <_>
-          11 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 18 1 2 -1.</_>
-        <_>
-          10 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 14 3 1 -1.</_>
-        <_>
-          12 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 3 1 -1.</_>
-        <_>
-          9 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 3 10 -1.</_>
-        <_>
-          10 7 3 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 9 12 -1.</_>
-        <_>
-          10 13 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 3 -1.</_>
-        <_>
-          7 10 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 5 -1.</_>
-        <_>
-          10 0 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 2 2 -1.</_>
-        <_>
-          1 4 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 3 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 2 -1.</_>
-        <_>
-          7 0 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 1 3 -1.</_>
-        <_>
-          12 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 1 2 -1.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 1 -1.</_>
-        <_>
-          14 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 2 -1.</_>
-        <_>
-          10 0 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 1 2 -1.</_>
-        <_>
-          10 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 1 2 -1.</_>
-        <_>
-          8 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 4 -1.</_>
-        <_>
-          13 6 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 16 20 4 -1.</_>
-        <_>
-          11 16 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 8 -1.</_>
-        <_>
-          11 5 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 10 1 -1.</_>
-        <_>
-          8 8 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 5 -1.</_>
-        <_>
-          13 5 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 4 2 -1.</_>
-        <_>
-          9 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 10 2 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 14 2 -1.</_>
-        <_>
-          4 8 7 1 2.</_>
-        <_>
-          11 9 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 6 -1.</_>
-        <_>
-          11 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 1 -1.</_>
-        <_>
-          11 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 7 6 -1.</_>
-        <_>
-          13 9 7 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 7 6 7 -1.</_>
-        <_>
-          9 9 2 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          10 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 2 -1.</_>
-        <_>
-          9 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 1 -1.</_>
-        <_>
-          14 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 1 -1.</_>
-        <_>
-          7 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 18 2 2 -1.</_>
-        <_>
-          11 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 1 3 -1.</_>
-        <_>
-          8 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 8 5 -1.</_>
-        <_>
-          10 11 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 2 -1.</_>
-        <_>
-          10 7 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 1 4 -1.</_>
-        <_>
-          11 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 6 4 -1.</_>
-        <_>
-          6 2 3 2 2.</_>
-        <_>
-          9 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 4 -1.</_>
-        <_>
-          10 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 6 5 -1.</_>
-        <_>
-          4 8 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 3 -1.</_>
-        <_>
-          10 6 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 1 3 -1.</_>
-        <_>
-          6 15 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 2 2 -1.</_>
-        <_>
-          12 13 1 1 2.</_>
-        <_>
-          11 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 9 1 -1.</_>
-        <_>
-          9 13 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 10 4 3 -1.</_>
-        <_>
-          14 11 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 10 3 4 -1.</_>
-        <_>
-          8 11 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 3 -1.</_>
-        <_>
-          13 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 3 -1.</_>
-        <_>
-          6 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 12 2 3 -1.</_>
-        <_>
-          18 13 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 18 3 2 -1.</_>
-        <_>
-          3 19 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 18 4 2 -1.</_>
-        <_>
-          15 19 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 18 4 2 -1.</_>
-        <_>
-          3 19 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 6 2 -1.</_>
-        <_>
-          12 7 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 2 -1.</_>
-        <_>
-          8 7 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 3 4 -1.</_>
-        <_>
-          14 6 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 2 -1.</_>
-        <_>
-          10 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 4 -1.</_>
-        <_>
-          15 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 16 1 2 -1.</_>
-        <_>
-          9 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 6 3 -1.</_>
-        <_>
-          9 8 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 1 2 -1.</_>
-        <_>
-          10 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 1 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 6 10 -1.</_>
-        <_>
-          14 0 6 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 10 6 -1.</_>
-        <_>
-          8 0 5 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 6 -1.</_>
-        <_>
-          12 0 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 1 -1.</_>
-        <_>
-          6 0 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 12 2 3 -1.</_>
-        <_>
-          18 13 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 13 2 2 -1.</_>
-        <_>
-          9 13 1 1 2.</_>
-        <_>
-          10 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 2 3 -1.</_>
-        <_>
-          15 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 12 2 -1.</_>
-        <_>
-          5 4 6 1 2.</_>
-        <_>
-          11 5 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 12 2 3 -1.</_>
-        <_>
-          18 13 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 3 2 -1.</_>
-        <_>
-          4 13 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 16 3 -1.</_>
-        <_>
-          3 0 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 8 9 -1.</_>
-        <_>
-          11 2 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 13 4 2 -1.</_>
-        <_>
-          18 13 2 1 2.</_>
-        <_>
-          16 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 12 -1.</_>
-        <_>
-          7 14 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 5 16 -1.</_>
-        <_>
-          13 12 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 4 -1.</_>
-        <_>
-          7 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 12 5 -1.</_>
-        <_>
-          5 14 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 6 4 -1.</_>
-        <_>
-          9 10 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 9 18 -1.</_>
-        <_>
-          13 0 3 18 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 4 2 -1.</_>
-        <_>
-          2 13 2 1 2.</_>
-        <_>
-          4 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 4 18 1 -1.</_>
-        <_>
-          2 4 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 8 -1.</_>
-        <_>
-          9 5 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 1 4 -1.</_>
-        <_>
-          11 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 3 -1.</_>
-        <_>
-          10 7 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 18 2 1 -1.</_>
-        <_>
-          10 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 2 2 -1.</_>
-        <_>
-          3 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 4 -1.</_>
-        <_>
-          15 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 4 -1.</_>
-        <_>
-          6 5 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 14 19 3 -1.</_>
-        <_>
-          2 15 19 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 14 19 3 -1.</_>
-        <_>
-          1 15 19 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 5 4 -1.</_>
-        <_>
-          9 4 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 3 4 -1.</_>
-        <_>
-          11 2 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 8 -1.</_>
-        <_>
-          10 6 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 3 16 -1.</_>
-        <_>
-          5 12 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 5 8 -1.</_>
-        <_>
-          14 13 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 14 3 2 -1.</_>
-        <_>
-          8 15 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 6 4 -1.</_>
-        <_>
-          15 1 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 18 6 -1.</_>
-        <_>
-          8 10 6 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 4 -1.</_>
-        <_>
-          11 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 5 -1.</_>
-        <_>
-          11 0 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 6 -1.</_>
-        <_>
-          8 4 2 3 2.</_>
-        <_>
-          10 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 18 3 -1.</_>
-        <_>
-          8 3 6 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 4 8 -1.</_>
-        <_>
-          0 14 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 8 4 -1.</_>
-        <_>
-          9 8 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 2 -1.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 6 -1.</_>
-        <_>
-          11 1 1 3 2.</_>
-        <_>
-          10 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 10 4 -1.</_>
-        <_>
-          9 2 5 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 3 -1.</_>
-        <_>
-          8 6 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 18 5 -1.</_>
-        <_>
-          6 15 6 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 6 -1.</_>
-        <_>
-          10 9 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 11 2 3 -1.</_>
-        <_>
-          1 12 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 14 2 2 -1.</_>
-        <_>
-          12 15 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 14 2 3 -1.</_>
-        <_>
-          11 14 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 6 -1.</_>
-        <_>
-          11 4 3 3 2.</_>
-        <_>
-          8 7 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 15 11 -1.</_>
-        <_>
-          7 8 5 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 3 -1.</_>
-        <_>
-          12 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 2 -1.</_>
-        <_>
-          11 2 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 17 14 -1.</_>
-        <_>
-          3 13 17 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 16 8 -1.</_>
-        <_>
-          7 2 8 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 1 1 18 -1.</_>
-        <_>
-          13 7 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 1 -1.</_>
-        <_>
-          7 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 6 5 -1.</_>
-        <_>
-          12 10 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 4 5 -1.</_>
-        <_>
-          8 11 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 18 8 -1.</_>
-        <_>
-          11 1 9 4 2.</_>
-        <_>
-          2 5 9 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 16 2 -1.</_>
-        <_>
-          4 3 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 15 -1.</_>
-        <_>
-          14 0 1 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 4 -1.</_>
-        <_>
-          11 0 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 18 1 2 -1.</_>
-        <_>
-          15 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 7 3 -1.</_>
-        <_>
-          6 2 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 1 3 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 3 -1.</_>
-        <_>
-          8 6 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 1 2 8 -1.</_>
-        <_>
-          21 1 1 4 2.</_>
-        <_>
-          20 5 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 1 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 3 -1.</_>
-        <_>
-          12 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 8 -1.</_>
-        <_>
-          10 2 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 3 -1.</_>
-        <_>
-          9 2 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 1 -1.</_>
-        <_>
-          10 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 8 -1.</_>
-        <_>
-          14 4 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 6 4 -1.</_>
-        <_>
-          3 5 3 2 2.</_>
-        <_>
-          6 7 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 6 1 2 -1.</_>
-        <_>
-          18 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 1 2 -1.</_>
-        <_>
-          3 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 3 18 -1.</_>
-        <_>
-          14 11 3 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 2 -1.</_>
-        <_>
-          11 0 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 2 -1.</_>
-        <_>
-          14 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 2 -1.</_>
-        <_>
-          10 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 2 -1.</_>
-        <_>
-          14 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 1 -1.</_>
-        <_>
-          11 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 3 -1.</_>
-        <_>
-          13 0 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 6 11 -1.</_>
-        <_>
-          10 1 3 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 2 2 -1.</_>
-        <_>
-          11 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          10 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 3 -1.</_>
-        <_>
-          11 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          9 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 10 9 -1.</_>
-        <_>
-          8 5 10 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 1 -1.</_>
-        <_>
-          10 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 7 8 2 -1.</_>
-        <_>
-          12 7 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 8 -1.</_>
-        <_>
-          10 7 1 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 11 12 -1.</_>
-        <_>
-          9 14 11 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 9 -1.</_>
-        <_>
-          9 7 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 6 -1.</_>
-        <_>
-          10 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 5 3 -1.</_>
-        <_>
-          8 5 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 1 4 -1.</_>
-        <_>
-          11 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 1 -1.</_>
-        <_>
-          11 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 17 1 3 -1.</_>
-        <_>
-          20 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 3 3 -1.</_>
-        <_>
-          9 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 20 6 -1.</_>
-        <_>
-          11 12 10 3 2.</_>
-        <_>
-          1 15 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 15 1 2 -1.</_>
-        <_>
-          6 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 18 20 -1.</_>
-        <_>
-          3 10 18 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 19 20 -1.</_>
-        <_>
-          0 10 19 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 14 2 3 -1.</_>
-        <_>
-          15 15 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 1 -1.</_>
-        <_>
-          9 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 2 3 -1.</_>
-        <_>
-          14 8 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 2 2 -1.</_>
-        <_>
-          9 11 1 1 2.</_>
-        <_>
-          10 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 14 2 3 -1.</_>
-        <_>
-          15 15 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 2 3 -1.</_>
-        <_>
-          5 15 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 3 14 -1.</_>
-        <_>
-          15 11 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 4 -1.</_>
-        <_>
-          8 7 3 2 2.</_>
-        <_>
-          11 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 5 4 -1.</_>
-        <_>
-          9 8 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 6 2 -1.</_>
-        <_>
-          11 8 3 1 2.</_>
-        <_>
-          8 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 2 -1.</_>
-        <_>
-          9 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 1 1 6 -1.</_>
-        <_>
-          17 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 1 6 -1.</_>
-        <_>
-          4 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 18 20 -1.</_>
-        <_>
-          8 0 6 20 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 4 -1.</_>
-        <_>
-          10 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 4 15 -1.</_>
-        <_>
-          11 6 4 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 17 3 2 -1.</_>
-        <_>
-          2 17 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 18 3 2 -1.</_>
-        <_>
-          19 18 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 18 3 2 -1.</_>
-        <_>
-          2 18 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 17 1 3 -1.</_>
-        <_>
-          20 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 2 -1.</_>
-        <_>
-          9 9 2 1 2.</_>
-        <_>
-          11 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 1 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 2 -1.</_>
-        <_>
-          10 4 1 1 2.</_>
-        <_>
-          11 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 1 -1.</_>
-        <_>
-          14 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 4 2 -1.</_>
-        <_>
-          15 4 2 1 2.</_>
-        <_>
-          13 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 4 2 -1.</_>
-        <_>
-          5 4 2 1 2.</_>
-        <_>
-          7 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 6 2 -1.</_>
-        <_>
-          17 3 3 1 2.</_>
-        <_>
-          14 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 3 16 -1.</_>
-        <_>
-          7 1 1 16 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 1 -1.</_>
-        <_>
-          13 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 1 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 3 13 -1.</_>
-        <_>
-          13 6 1 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 16 2 -1.</_>
-        <_>
-          10 4 8 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 4 -1.</_>
-        <_>
-          12 1 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 4 -1.</_>
-        <_>
-          9 4 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 2 -1.</_>
-        <_>
-          13 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 6 -1.</_>
-        <_>
-          10 2 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 2 -1.</_>
-        <_>
-          13 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 1 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 1 2 -1.</_>
-        <_>
-          12 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 11 8 -1.</_>
-        <_>
-          8 1 11 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 6 6 8 -1.</_>
-        <_>
-          16 8 2 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          11 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 3 -1.</_>
-        <_>
-          13 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 2 -1.</_>
-        <_>
-          9 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 9 4 2 -1.</_>
-        <_>
-          18 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 4 2 -1.</_>
-        <_>
-          2 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 8 2 2 -1.</_>
-        <_>
-          20 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 2 2 -1.</_>
-        <_>
-          2 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 4 2 16 -1.</_>
-        <_>
-          17 12 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 6 15 -1.</_>
-        <_>
-          3 9 6 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 4 6 -1.</_>
-        <_>
-          14 6 4 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 4 -1.</_>
-        <_>
-          8 6 2 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 2 1 -1.</_>
-        <_>
-          16 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 0 8 12 -1.</_>
-        <_>
-          5 0 4 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 2 -1.</_>
-        <_>
-          11 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 4 2 -1.</_>
-        <_>
-          10 7 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 7 -1.</_>
-        <_>
-          9 10 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 3 9 -1.</_>
-        <_>
-          11 9 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 4 -1.</_>
-        <_>
-          10 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 7 3 -1.</_>
-        <_>
-          9 7 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 15 1 2 -1.</_>
-        <_>
-          8 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 14 9 6 -1.</_>
-        <_>
-          16 14 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 19 16 1 -1.</_>
-        <_>
-          7 19 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 18 5 2 -1.</_>
-        <_>
-          11 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 18 11 2 -1.</_>
-        <_>
-          2 19 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 7 1 3 -1.</_>
-        <_>
-          19 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 11 1 4 -1.</_>
-        <_>
-          5 12 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 17 6 1 -1.</_>
-        <_>
-          16 17 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 6 1 -1.</_>
-        <_>
-          3 17 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 16 1 -1.</_>
-        <_>
-          10 0 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 6 8 -1.</_>
-        <_>
-          3 11 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 13 2 2 -1.</_>
-        <_>
-          18 13 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 3 1 -1.</_>
-        <_>
-          7 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 1 -1.</_>
-        <_>
-          15 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 4 -1.</_>
-        <_>
-          7 3 1 2 2.</_>
-        <_>
-          8 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 2 2 -1.</_>
-        <_>
-          14 2 1 1 2.</_>
-        <_>
-          13 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 9 -1.</_>
-        <_>
-          16 1 1 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 1 -1.</_>
-        <_>
-          6 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          15 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 16 11 -1.</_>
-        <_>
-          4 6 8 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 1 2 -1.</_>
-        <_>
-          15 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 10 6 -1.</_>
-        <_>
-          5 12 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          15 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 2 -1.</_>
-        <_>
-          6 0 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 6 8 14 -1.</_>
-        <_>
-          18 6 4 7 2.</_>
-        <_>
-          14 13 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 8 18 -1.</_>
-        <_>
-          1 2 4 9 2.</_>
-        <_>
-          5 11 4 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 13 2 2 -1.</_>
-        <_>
-          19 13 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 13 2 2 -1.</_>
-        <_>
-          3 13 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 7 1 3 -1.</_>
-        <_>
-          19 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 15 -1.</_>
-        <_>
-          9 0 9 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 17 2 2 -1.</_>
-        <_>
-          19 18 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 2 2 -1.</_>
-        <_>
-          1 18 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 5 -1.</_>
-        <_>
-          16 2 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 2 -1.</_>
-        <_>
-          10 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 3 -1.</_>
-        <_>
-          12 3 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 3 3 -1.</_>
-        <_>
-          9 3 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 3 4 -1.</_>
-        <_>
-          10 2 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 3 -1.</_>
-        <_>
-          8 10 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 3 -1.</_>
-        <_>
-          9 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 8 3 -1.</_>
-        <_>
-          9 1 8 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 4 -1.</_>
-        <_>
-          11 6 3 2 2.</_>
-        <_>
-          8 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 9 3 -1.</_>
-        <_>
-          10 6 9 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 3 -1.</_>
-        <_>
-          11 10 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 3 3 -1.</_>
-        <_>
-          9 11 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 4 -1.</_>
-        <_>
-          10 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 4 2 -1.</_>
-        <_>
-          12 5 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 3 4 -1.</_>
-        <_>
-          10 2 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 3 -1.</_>
-        <_>
-          12 2 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 4 -1.</_>
-        <_>
-          11 3 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 4 -1.</_>
-        <_>
-          10 3 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 1 -1.</_>
-        <_>
-          10 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          6 6 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 3 -1.</_>
-        <_>
-          10 5 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 12 1 2 -1.</_>
-        <_>
-          5 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 15 10 4 -1.</_>
-        <_>
-          17 15 5 2 2.</_>
-        <_>
-          12 17 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 10 4 -1.</_>
-        <_>
-          0 15 5 2 2.</_>
-        <_>
-          5 17 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 3 6 -1.</_>
-        <_>
-          10 9 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 3 6 -1.</_>
-        <_>
-          9 9 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 3 3 -1.</_>
-        <_>
-          14 9 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 6 8 -1.</_>
-        <_>
-          8 10 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 6 -1.</_>
-        <_>
-          9 13 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 16 2 2 -1.</_>
-        <_>
-          8 17 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 6 -1.</_>
-        <_>
-          9 13 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 11 6 2 -1.</_>
-        <_>
-          13 13 2 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 12 6 2 -1.</_>
-        <_>
-          8 13 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 3 6 -1.</_>
-        <_>
-          10 10 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 3 1 -1.</_>
-        <_>
-          11 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 1 2 -1.</_>
-        <_>
-          0 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 7 1 3 -1.</_>
-        <_>
-          19 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 1 3 -1.</_>
-        <_>
-          2 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 5 2 2 -1.</_>
-        <_>
-          17 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 2 2 -1.</_>
-        <_>
-          3 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 9 9 -1.</_>
-        <_>
-          16 5 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 9 9 -1.</_>
-        <_>
-          3 5 3 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 7 6 6 -1.</_>
-        <_>
-          14 9 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 7 6 6 -1.</_>
-        <_>
-          8 9 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 0 3 10 -1.</_>
-        <_>
-          18 0 3 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 11 1 4 -1.</_>
-        <_>
-          6 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 2 2 -1.</_>
-        <_>
-          9 6 1 1 2.</_>
-        <_>
-          10 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 4 7 -1.</_>
-        <_>
-          10 10 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 2 2 -1.</_>
-        <_>
-          11 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 9 6 -1.</_>
-        <_>
-          7 5 9 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 3 -1.</_>
-        <_>
-          9 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 1 2 -1.</_>
-        <_>
-          10 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 3 -1.</_>
-        <_>
-          11 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 1 8 -1.</_>
-        <_>
-          10 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 8 13 10 -1.</_>
-        <_>
-          5 13 13 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 5 4 -1.</_>
-        <_>
-          7 7 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 16 2 -1.</_>
-        <_>
-          11 12 8 1 2.</_>
-        <_>
-          3 13 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 22 2 -1.</_>
-        <_>
-          11 0 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 4 2 -1.</_>
-        <_>
-          13 11 2 1 2.</_>
-        <_>
-          11 12 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 4 5 -1.</_>
-        <_>
-          11 2 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 4 -1.</_>
-        <_>
-          11 4 3 2 2.</_>
-        <_>
-          8 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 6 -1.</_>
-        <_>
-          10 3 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 9 3 -1.</_>
-        <_>
-          7 4 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 3 -1.</_>
-        <_>
-          9 5 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 4 -1.</_>
-        <_>
-          11 3 1 2 2.</_>
-        <_>
-          10 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 4 3 -1.</_>
-        <_>
-          3 13 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 6 -1.</_>
-        <_>
-          7 0 2 3 2.</_>
-        <_>
-          9 3 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 17 1 2 -1.</_>
-        <_>
-          12 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 3 1 -1.</_>
-        <_>
-          12 4 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 0 3 12 -1.</_>
-        <_>
-          20 0 1 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 6 9 -1.</_>
-        <_>
-          2 8 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 2 4 -1.</_>
-        <_>
-          14 1 1 2 2.</_>
-        <_>
-          13 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 1 6 -1.</_>
-        <_>
-          5 7 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 2 4 -1.</_>
-        <_>
-          14 1 1 2 2.</_>
-        <_>
-          13 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 4 -1.</_>
-        <_>
-          0 0 7 2 2.</_>
-        <_>
-          7 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          11 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 2 -1.</_>
-        <_>
-          12 8 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 3 -1.</_>
-        <_>
-          10 10 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 4 -1.</_>
-        <_>
-          10 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 3 2 -1.</_>
-        <_>
-          16 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 3 2 -1.</_>
-        <_>
-          3 2 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 2 4 -1.</_>
-        <_>
-          14 1 1 2 2.</_>
-        <_>
-          13 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 10 4 -1.</_>
-        <_>
-          4 6 5 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 6 16 -1.</_>
-        <_>
-          14 12 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 7 9 -1.</_>
-        <_>
-          7 6 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 2 4 -1.</_>
-        <_>
-          14 7 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 2 -1.</_>
-        <_>
-          8 7 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 4 -1.</_>
-        <_>
-          11 9 3 2 2.</_>
-        <_>
-          8 11 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 2 -1.</_>
-        <_>
-          8 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 2 -1.</_>
-        <_>
-          9 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 2 -1.</_>
-        <_>
-          11 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 2 -1.</_>
-        <_>
-          11 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 16 2 -1.</_>
-        <_>
-          3 1 8 1 2.</_>
-        <_>
-          11 2 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 1 -1.</_>
-        <_>
-          8 0 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 2 -1.</_>
-        <_>
-          11 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 3 3 -1.</_>
-        <_>
-          9 8 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 2 -1.</_>
-        <_>
-          11 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 3 4 -1.</_>
-        <_>
-          6 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          9 2 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 3 -1.</_>
-        <_>
-          9 2 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 1 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 1 6 -1.</_>
-        <_>
-          15 3 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 1 3 -1.</_>
-        <_>
-          8 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 1 3 -1.</_>
-        <_>
-          13 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 8 8 -1.</_>
-        <_>
-          2 10 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 4 9 -1.</_>
-        <_>
-          14 10 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 22 4 -1.</_>
-        <_>
-          0 12 11 2 2.</_>
-        <_>
-          11 14 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 2 2 -1.</_>
-        <_>
-          13 7 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 4 -1.</_>
-        <_>
-          10 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          9 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 6 1 -1.</_>
-        <_>
-          11 6 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 6 6 -1.</_>
-        <_>
-          9 8 6 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 1 3 -1.</_>
-        <_>
-          13 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 1 3 -1.</_>
-        <_>
-          8 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 5 3 -1.</_>
-        <_>
-          9 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 2 -1.</_>
-        <_>
-          10 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 3 -1.</_>
-        <_>
-          11 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 4 -1.</_>
-        <_>
-          9 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 3 3 -1.</_>
-        <_>
-          13 18 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 1 -1.</_>
-        <_>
-          10 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 1 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 4 11 -1.</_>
-        <_>
-          4 9 2 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 14 2 2 -1.</_>
-        <_>
-          16 14 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 2 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_>
-        <_>
-          10 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 14 2 2 -1.</_>
-        <_>
-          16 14 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 9 8 11 -1.</_>
-        <_>
-          4 9 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 1 2 -1.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 4 1 -1.</_>
-        <_>
-          12 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          11 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 6 -1.</_>
-        <_>
-          10 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 5 -1.</_>
-        <_>
-          8 4 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 4 -1.</_>
-        <_>
-          8 3 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 1 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 4 -1.</_>
-        <_>
-          8 6 3 2 2.</_>
-        <_>
-          11 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 10 3 -1.</_>
-        <_>
-          7 8 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 2 -1.</_>
-        <_>
-          9 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 10 1 3 -1.</_>
-        <_>
-          11 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 16 -1.</_>
-        <_>
-          5 0 3 8 2.</_>
-        <_>
-          8 8 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 1 -1.</_>
-        <_>
-          9 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 1 3 1 -1.</_>
-        <_>
-          16 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 3 1 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 16 2 -1.</_>
-        <_>
-          6 1 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 17 3 3 -1.</_>
-        <_>
-          6 18 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 1 3 -1.</_>
-        <_>
-          13 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 2 2 -1.</_>
-        <_>
-          6 13 1 1 2.</_>
-        <_>
-          7 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 17 7 3 -1.</_>
-        <_>
-          9 18 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 1 3 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 11 2 1 -1.</_>
-        <_>
-          14 11 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 9 3 4 -1.</_>
-        <_>
-          6 9 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 4 9 -1.</_>
-        <_>
-          10 5 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 17 2 3 -1.</_>
-        <_>
-          7 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 7 2 -1.</_>
-        <_>
-          8 8 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 1 -1.</_>
-        <_>
-          7 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 2 2 -1.</_>
-        <_>
-          14 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 2 2 -1.</_>
-        <_>
-          2 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 3 2 -1.</_>
-        <_>
-          14 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 2 2 -1.</_>
-        <_>
-          7 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 10 6 -1.</_>
-        <_>
-          16 0 5 3 2.</_>
-        <_>
-          11 3 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 10 2 -1.</_>
-        <_>
-          6 3 5 1 2.</_>
-        <_>
-          11 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 11 2 2 -1.</_>
-        <_>
-          14 11 1 1 2.</_>
-        <_>
-          13 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 8 5 -1.</_>
-        <_>
-          2 15 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 15 3 -1.</_>
-        <_>
-          5 2 15 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 4 5 -1.</_>
-        <_>
-          2 15 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          9 9 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 6 1 -1.</_>
-        <_>
-          13 9 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 8 1 3 -1.</_>
-        <_>
-          13 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 2 -1.</_>
-        <_>
-          10 10 1 1 2.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 2 5 -1.</_>
-        <_>
-          11 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 6 -1.</_>
-        <_>
-          8 6 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 4 -1.</_>
-        <_>
-          9 5 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 9 -1.</_>
-        <_>
-          10 6 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 2 -1.</_>
-        <_>
-          9 8 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 1 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 4 1 -1.</_>
-        <_>
-          12 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 4 1 -1.</_>
-        <_>
-          8 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 11 2 3 -1.</_>
-        <_>
-          20 11 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 3 1 -1.</_>
-        <_>
-          8 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 11 2 3 -1.</_>
-        <_>
-          20 11 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 11 3 2 -1.</_>
-        <_>
-          2 11 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 10 2 10 -1.</_>
-        <_>
-          18 15 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 2 10 -1.</_>
-        <_>
-          2 15 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 12 8 8 -1.</_>
-        <_>
-          17 12 4 4 2.</_>
-        <_>
-          13 16 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 8 8 -1.</_>
-        <_>
-          1 12 4 4 2.</_>
-        <_>
-          5 16 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 15 1 2 -1.</_>
-        <_>
-          13 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 15 1 2 -1.</_>
-        <_>
-          8 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 22 12 -1.</_>
-        <_>
-          0 5 11 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 12 10 -1.</_>
-        <_>
-          3 5 12 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 6 1 -1.</_>
-        <_>
-          15 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 2 4 -1.</_>
-        <_>
-          6 14 1 2 2.</_>
-        <_>
-          7 16 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 12 2 2 -1.</_>
-        <_>
-          14 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 7 6 -1.</_>
-        <_>
-          7 11 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 1 3 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 12 2 2 -1.</_>
-        <_>
-          7 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 5 10 -1.</_>
-        <_>
-          17 0 5 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 1 6 -1.</_>
-        <_>
-          10 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 4 -1.</_>
-        <_>
-          11 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 2 2 -1.</_>
-        <_>
-          9 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 3 6 -1.</_>
-        <_>
-          10 9 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 1 3 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 6 -1.</_>
-        <_>
-          15 1 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 3 -1.</_>
-        <_>
-          7 1 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 8 -1.</_>
-        <_>
-          14 5 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 2 -1.</_>
-        <_>
-          8 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 8 -1.</_>
-        <_>
-          14 5 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 8 -1.</_>
-        <_>
-          7 5 1 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 4 1 -1.</_>
-        <_>
-          14 0 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 4 -1.</_>
-        <_>
-          10 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 1 18 3 -1.</_>
-        <_>
-          8 1 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 9 1 -1.</_>
-        <_>
-          12 3 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 14 4 3 -1.</_>
-        <_>
-          12 15 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 7 6 -1.</_>
-        <_>
-          6 6 7 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 1 -1.</_>
-        <_>
-          14 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 1 2 -1.</_>
-        <_>
-          8 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 1 -1.</_>
-        <_>
-          15 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 1 4 -1.</_>
-        <_>
-          7 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 14 20 4 -1.</_>
-        <_>
-          7 14 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 15 2 1 -1.</_>
-        <_>
-          8 15 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 12 2 3 -1.</_>
-        <_>
-          10 13 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 12 1 2 -1.</_>
-        <_>
-          10 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 12 -1.</_>
-        <_>
-          11 13 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 1 9 -1.</_>
-        <_>
-          10 14 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 1 2 -1.</_>
-        <_>
-          17 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 1 2 -1.</_>
-        <_>
-          4 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 7 3 -1.</_>
-        <_>
-          8 12 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 6 6 -1.</_>
-        <_>
-          8 17 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 14 3 4 -1.</_>
-        <_>
-          10 16 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 20 3 -1.</_>
-        <_>
-          10 4 10 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 4 10 -1.</_>
-        <_>
-          11 6 4 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 4 3 -1.</_>
-        <_>
-          5 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 17 1 2 -1.</_>
-        <_>
-          16 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 3 -1.</_>
-        <_>
-          10 12 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 1 2 -1.</_>
-        <_>
-          11 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 13 10 -1.</_>
-        <_>
-          4 15 13 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 16 2 1 -1.</_>
-        <_>
-          11 16 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 16 1 2 -1.</_>
-        <_>
-          11 16 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 12 1 4 -1.</_>
-        <_>
-          11 14 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 5 3 -1.</_>
-        <_>
-          5 15 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 10 8 -1.</_>
-        <_>
-          9 8 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 1 4 -1.</_>
-        <_>
-          10 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 2 -1.</_>
-        <_>
-          10 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 6 2 -1.</_>
-        <_>
-          10 3 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 5 6 -1.</_>
-        <_>
-          9 2 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 6 -1.</_>
-        <_>
-          8 7 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 1 16 -1.</_>
-        <_>
-          11 10 1 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 4 4 -1.</_>
-        <_>
-          10 13 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 18 3 -1.</_>
-        <_>
-          2 3 18 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 15 12 -1.</_>
-        <_>
-          5 8 5 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 5 3 2 -1.</_>
-        <_>
-          18 5 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 2 3 -1.</_>
-        <_>
-          4 5 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 2 1 16 -1.</_>
-        <_>
-          11 10 1 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 10 8 -1.</_>
-        <_>
-          3 8 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 9 -1.</_>
-        <_>
-          10 9 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 7 -1.</_>
-        <_>
-          8 10 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 8 6 6 -1.</_>
-        <_>
-          14 10 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 8 6 6 -1.</_>
-        <_>
-          8 10 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 13 2 1 -1.</_>
-        <_>
-          17 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 16 7 2 -1.</_>
-        <_>
-          1 17 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 15 4 4 -1.</_>
-        <_>
-          16 17 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 15 4 4 -1.</_>
-        <_>
-          2 17 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 2 9 -1.</_>
-        <_>
-          17 13 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 13 2 1 -1.</_>
-        <_>
-          4 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 15 12 -1.</_>
-        <_>
-          5 12 15 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 10 4 -1.</_>
-        <_>
-          11 6 5 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          11 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 6 12 -1.</_>
-        <_>
-          3 12 6 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 4 10 -1.</_>
-        <_>
-          16 2 4 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 2 10 4 -1.</_>
-        <_>
-          6 2 5 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 12 5 6 -1.</_>
-        <_>
-          11 15 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 2 -1.</_>
-        <_>
-          10 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 15 -1.</_>
-        <_>
-          10 7 2 5 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 6 -1.</_>
-        <_>
-          8 8 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 3 -1.</_>
-        <_>
-          12 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 9 3 -1.</_>
-        <_>
-          5 2 9 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 11 -1.</_>
-        <_>
-          12 2 2 11 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 6 -1.</_>
-        <_>
-          8 7 3 3 2.</_>
-        <_>
-          11 10 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 4 4 -1.</_>
-        <_>
-          13 3 2 2 2.</_>
-        <_>
-          11 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 4 4 -1.</_>
-        <_>
-          6 7 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 14 -1.</_>
-        <_>
-          8 1 3 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 10 -1.</_>
-        <_>
-          10 0 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 4 -1.</_>
-        <_>
-          11 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 1 -1.</_>
-        <_>
-          11 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 3 -1.</_>
-        <_>
-          11 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 1 2 -1.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 5 1 3 -1.</_>
-        <_>
-          16 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 3 -1.</_>
-        <_>
-          11 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 4 3 -1.</_>
-        <_>
-          9 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 14 -1.</_>
-        <_>
-          10 1 2 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 1 4 -1.</_>
-        <_>
-          8 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 4 -1.</_>
-        <_>
-          13 7 1 2 2.</_>
-        <_>
-          12 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 4 -1.</_>
-        <_>
-          8 7 1 2 2.</_>
-        <_>
-          9 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 1 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 1 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 2 -1.</_>
-        <_>
-          11 7 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 2 -1.</_>
-        <_>
-          8 7 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 3 -1.</_>
-        <_>
-          9 6 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 6 -1.</_>
-        <_>
-          10 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 9 -1.</_>
-        <_>
-          14 2 1 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 9 3 -1.</_>
-        <_>
-          8 2 9 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 11 -1.</_>
-        <_>
-          12 1 2 11 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 11 4 -1.</_>
-        <_>
-          10 1 11 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 8 3 -1.</_>
-        <_>
-          8 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 8 -1.</_>
-        <_>
-          9 1 2 4 2.</_>
-        <_>
-          11 5 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 2 -1.</_>
-        <_>
-          11 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 1 12 -1.</_>
-        <_>
-          5 8 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 6 -1.</_>
-        <_>
-          10 4 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 3 -1.</_>
-        <_>
-          21 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 12 3 -1.</_>
-        <_>
-          9 2 4 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 9 14 -1.</_>
-        <_>
-          14 0 3 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 2 2 -1.</_>
-        <_>
-          9 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 6 10 -1.</_>
-        <_>
-          12 3 6 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 1 2 -1.</_>
-        <_>
-          9 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 3 -1.</_>
-        <_>
-          13 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 12 10 -1.</_>
-        <_>
-          9 0 4 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 3 1 -1.</_>
-        <_>
-          12 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 3 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 3 -1.</_>
-        <_>
-          10 7 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 1 -1.</_>
-        <_>
-          10 6 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 8 -1.</_>
-        <_>
-          10 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 6 1 -1.</_>
-        <_>
-          11 0 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 3 -1.</_>
-        <_>
-          14 5 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 12 1 -1.</_>
-        <_>
-          14 4 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 7 16 12 -1.</_>
-        <_>
-          3 13 16 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 5 12 -1.</_>
-        <_>
-          2 9 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 4 3 -1.</_>
-        <_>
-          12 14 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 4 6 16 -1.</_>
-        <_>
-          2 12 6 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 3 1 -1.</_>
-        <_>
-          12 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 1 -1.</_>
-        <_>
-          10 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 9 4 2 -1.</_>
-        <_>
-          11 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 1 3 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 1 -1.</_>
-        <_>
-          14 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 1 3 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 3 1 3 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 3 -1.</_>
-        <_>
-          11 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 3 -1.</_>
-        <_>
-          11 1 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 10 6 -1.</_>
-        <_>
-          5 2 10 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 6 10 -1.</_>
-        <_>
-          13 5 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 10 4 -1.</_>
-        <_>
-          6 7 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 4 -1.</_>
-        <_>
-          10 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 6 10 -1.</_>
-        <_>
-          3 5 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 1 3 -1.</_>
-        <_>
-          12 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 1 2 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 9 4 2 -1.</_>
-        <_>
-          11 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 4 2 -1.</_>
-        <_>
-          9 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 2 -1.</_>
-        <_>
-          10 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 17 1 2 -1.</_>
-        <_>
-          5 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 7 9 -1.</_>
-        <_>
-          8 6 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 3 -1.</_>
-        <_>
-          7 6 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 9 3 -1.</_>
-        <_>
-          8 7 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 6 2 -1.</_>
-        <_>
-          11 8 3 1 2.</_>
-        <_>
-          8 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 2 -1.</_>
-        <_>
-          9 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 17 3 3 -1.</_>
-        <_>
-          15 18 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 6 -1.</_>
-        <_>
-          9 11 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 6 16 8 -1.</_>
-        <_>
-          4 8 16 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 17 1 3 -1.</_>
-        <_>
-          8 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 17 1 3 -1.</_>
-        <_>
-          13 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 17 1 3 -1.</_>
-        <_>
-          8 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 1 3 -1.</_>
-        <_>
-          12 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 1 3 -1.</_>
-        <_>
-          9 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 1 3 -1.</_>
-        <_>
-          13 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 2 -1.</_>
-        <_>
-          8 4 3 1 2.</_>
-        <_>
-          11 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 16 16 -1.</_>
-        <_>
-          5 8 16 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 10 -1.</_>
-        <_>
-          2 0 6 5 2.</_>
-        <_>
-          8 5 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 21 12 -1.</_>
-        <_>
-          8 9 7 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 20 15 -1.</_>
-        <_>
-          6 5 10 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 5 -1.</_>
-        <_>
-          13 6 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 6 6 -1.</_>
-        <_>
-          13 5 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 1 3 -1.</_>
-        <_>
-          10 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 3 10 -1.</_>
-        <_>
-          18 1 1 10 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 5 3 -1.</_>
-        <_>
-          8 8 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 7 12 3 -1.</_>
-        <_>
-          9 8 4 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 5 3 -1.</_>
-        <_>
-          9 6 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 15 2 2 -1.</_>
-        <_>
-          8 16 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          11 9 3 1 2.</_>
-        <_>
-          8 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 2 -1.</_>
-        <_>
-          8 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 2 2 -1.</_>
-        <_>
-          13 10 1 1 2.</_>
-        <_>
-          12 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          8 9 3 1 2.</_>
-        <_>
-          11 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 1 -1.</_>
-        <_>
-          7 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 15 6 4 -1.</_>
-        <_>
-          5 16 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 2 -1.</_>
-        <_>
-          8 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 3 1 3 -1.</_>
-        <_>
-          18 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 1 3 -1.</_>
-        <_>
-          3 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 6 2 -1.</_>
-        <_>
-          2 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 6 2 -1.</_>
-        <_>
-          2 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 3 3 -1.</_>
-        <_>
-          13 10 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 3 3 -1.</_>
-        <_>
-          8 10 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 1 6 -1.</_>
-        <_>
-          11 11 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 15 4 1 -1.</_>
-        <_>
-          6 15 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 8 7 9 -1.</_>
-        <_>
-          13 11 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 14 1 2 -1.</_>
-        <_>
-          10 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 4 6 -1.</_>
-        <_>
-          13 12 2 3 2.</_>
-        <_>
-          11 15 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 15 12 5 -1.</_>
-        <_>
-          11 15 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 4 6 -1.</_>
-        <_>
-          13 12 2 3 2.</_>
-        <_>
-          11 15 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 4 6 -1.</_>
-        <_>
-          7 12 2 3 2.</_>
-        <_>
-          9 15 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 16 8 3 -1.</_>
-        <_>
-          7 16 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 1 2 -1.</_>
-        <_>
-          10 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 12 5 3 -1.</_>
-        <_>
-          10 13 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 2 -1.</_>
-        <_>
-          9 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 3 3 -1.</_>
-        <_>
-          18 10 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 12 4 -1.</_>
-        <_>
-          0 0 6 2 2.</_>
-        <_>
-          6 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 2 -1.</_>
-        <_>
-          21 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 1 -1.</_>
-        <_>
-          7 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 5 21 12 -1.</_>
-        <_>
-          8 9 7 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 2 -1.</_>
-        <_>
-          7 8 1 1 2.</_>
-        <_>
-          8 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 8 14 -1.</_>
-        <_>
-          7 1 4 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 3 3 -1.</_>
-        <_>
-          3 10 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 1 -1.</_>
-        <_>
-          10 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 9 -1.</_>
-        <_>
-          10 7 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 6 3 -1.</_>
-        <_>
-          14 9 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 1 6 -1.</_>
-        <_>
-          10 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 1 4 -1.</_>
-        <_>
-          11 2 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 9 -1.</_>
-        <_>
-          9 4 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 4 -1.</_>
-        <_>
-          8 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 1 4 -1.</_>
-        <_>
-          10 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 2 -1.</_>
-        <_>
-          13 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 3 -1.</_>
-        <_>
-          9 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 3 3 -1.</_>
-        <_>
-          13 11 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 12 5 3 -1.</_>
-        <_>
-          7 13 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 3 3 -1.</_>
-        <_>
-          13 11 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 3 3 -1.</_>
-        <_>
-          9 11 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 3 4 -1.</_>
-        <_>
-          12 1 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 8 11 -1.</_>
-        <_>
-          8 8 4 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 12 6 -1.</_>
-        <_>
-          9 6 4 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 3 4 -1.</_>
-        <_>
-          9 1 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 8 6 3 -1.</_>
-        <_>
-          14 9 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 8 6 -1.</_>
-        <_>
-          7 8 8 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 8 6 3 -1.</_>
-        <_>
-          14 9 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 8 3 6 -1.</_>
-        <_>
-          8 9 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 2 -1.</_>
-        <_>
-          21 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 20 3 -1.</_>
-        <_>
-          0 12 20 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 22 1 -1.</_>
-        <_>
-          0 3 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 14 12 -1.</_>
-        <_>
-          0 13 14 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 4 4 3 -1.</_>
-        <_>
-          15 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 4 -1.</_>
-        <_>
-          7 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 8 2 -1.</_>
-        <_>
-          13 4 4 1 2.</_>
-        <_>
-          9 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 8 2 -1.</_>
-        <_>
-          5 4 4 1 2.</_>
-        <_>
-          9 5 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 4 3 -1.</_>
-        <_>
-          12 4 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 4 3 -1.</_>
-        <_>
-          6 4 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 15 3 -1.</_>
-        <_>
-          9 6 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 21 12 -1.</_>
-        <_>
-          7 9 7 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 6 -1.</_>
-        <_>
-          14 0 1 3 2.</_>
-        <_>
-          13 3 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 16 2 -1.</_>
-        <_>
-          7 7 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 5 9 -1.</_>
-        <_>
-          14 7 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 4 5 9 -1.</_>
-        <_>
-          3 7 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 7 9 -1.</_>
-        <_>
-          9 6 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 1 -1.</_>
-        <_>
-          11 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 2 -1.</_>
-        <_>
-          11 4 3 1 2.</_>
-        <_>
-          8 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 4 -1.</_>
-        <_>
-          8 8 1 2 2.</_>
-        <_>
-          9 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 6 -1.</_>
-        <_>
-          11 6 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 15 -1.</_>
-        <_>
-          11 1 3 15 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 6 -1.</_>
-        <_>
-          10 9 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 1 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 0 1 2 -1.</_>
-        <_>
-          21 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 1 -1.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 15 1 2 -1.</_>
-        <_>
-          16 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 2 14 -1.</_>
-        <_>
-          5 12 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 15 12 2 -1.</_>
-        <_>
-          13 15 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 15 12 2 -1.</_>
-        <_>
-          3 15 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 15 1 2 -1.</_>
-        <_>
-          16 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 15 1 2 -1.</_>
-        <_>
-          11 15 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 4 2 -1.</_>
-        <_>
-          17 0 2 1 2.</_>
-        <_>
-          15 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 8 7 -1.</_>
-        <_>
-          11 13 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 2 3 -1.</_>
-        <_>
-          9 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          17 0 1 2 2.</_>
-        <_>
-          16 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 1 3 -1.</_>
-        <_>
-          10 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 2 2 -1.</_>
-        <_>
-          16 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 1 3 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 4 -1.</_>
-        <_>
-          9 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 1 -1.</_>
-        <_>
-          12 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 11 12 1 -1.</_>
-        <_>
-          10 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 12 1 -1.</_>
-        <_>
-          6 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 14 4 -1.</_>
-        <_>
-          7 9 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 3 1 -1.</_>
-        <_>
-          8 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 3 10 -1.</_>
-        <_>
-          18 1 1 10 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 4 1 -1.</_>
-        <_>
-          11 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 6 3 -1.</_>
-        <_>
-          8 9 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 1 -1.</_>
-        <_>
-          10 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 8 -1.</_>
-        <_>
-          11 11 1 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 4 6 -1.</_>
-        <_>
-          10 12 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 6 4 -1.</_>
-        <_>
-          13 0 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 9 14 4 -1.</_>
-        <_>
-          8 9 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 6 9 -1.</_>
-        <_>
-          13 7 2 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 4 -1.</_>
-        <_>
-          4 0 1 2 2.</_>
-        <_>
-          5 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 6 10 -1.</_>
-        <_>
-          14 6 2 10 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 10 6 -1.</_>
-        <_>
-          8 6 10 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 4 -1.</_>
-        <_>
-          12 5 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 2 -1.</_>
-        <_>
-          9 5 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 3 -1.</_>
-        <_>
-          10 2 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 3 4 -1.</_>
-        <_>
-          12 2 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 2 -1.</_>
-        <_>
-          11 3 3 1 2.</_>
-        <_>
-          8 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 10 3 -1.</_>
-        <_>
-          4 1 10 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 9 1 4 -1.</_>
-        <_>
-          21 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 1 4 -1.</_>
-        <_>
-          0 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 2 2 -1.</_>
-        <_>
-          16 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 12 2 -1.</_>
-        <_>
-          1 7 6 1 2.</_>
-        <_>
-          7 8 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 1 4 -1.</_>
-        <_>
-          13 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 1 4 -1.</_>
-        <_>
-          8 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 4 -1.</_>
-        <_>
-          14 0 1 2 2.</_>
-        <_>
-          13 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 18 2 2 -1.</_>
-        <_>
-          4 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 19 3 1 -1.</_>
-        <_>
-          16 19 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 18 1 2 -1.</_>
-        <_>
-          5 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 18 1 2 -1.</_>
-        <_>
-          15 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 18 1 2 -1.</_>
-        <_>
-          6 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 19 3 1 -1.</_>
-        <_>
-          19 19 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 1 3 -1.</_>
-        <_>
-          9 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 3 -1.</_>
-        <_>
-          13 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 0 6 2 -1.</_>
-        <_>
-          0 0 3 1 2.</_>
-        <_>
-          3 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 1 3 -1.</_>
-        <_>
-          12 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 1 6 -1.</_>
-        <_>
-          10 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 10 4 -1.</_>
-        <_>
-          7 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 9 1 -1.</_>
-        <_>
-          14 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 2 22 14 -1.</_>
-        <_>
-          0 2 11 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 19 3 1 -1.</_>
-        <_>
-          2 19 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 3 3 -1.</_>
-        <_>
-          19 17 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 3 3 -1.</_>
-        <_>
-          2 17 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 4 1 6 -1.</_>
-        <_>
-          15 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 6 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 1 3 -1.</_>
-        <_>
-          12 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 1 3 -1.</_>
-        <_>
-          9 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 1 1 4 -1.</_>
-        <_>
-          16 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 1 4 -1.</_>
-        <_>
-          5 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 16 3 2 -1.</_>
-        <_>
-          19 16 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 2 2 -1.</_>
-        <_>
-          3 9 1 1 2.</_>
-        <_>
-          4 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 2 8 -1.</_>
-        <_>
-          13 3 1 4 2.</_>
-        <_>
-          12 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 3 -1.</_>
-        <_>
-          9 0 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 1 -1.</_>
-        <_>
-          14 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 4 -1.</_>
-        <_>
-          10 1 1 2 2.</_>
-        <_>
-          11 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 3 -1.</_>
-        <_>
-          14 2 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 7 6 -1.</_>
-        <_>
-          7 2 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 6 -1.</_>
-        <_>
-          10 2 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 3 2 -1.</_>
-        <_>
-          8 2 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 8 8 -1.</_>
-        <_>
-          8 4 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 1 -1.</_>
-        <_>
-          10 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 4 2 -1.</_>
-        <_>
-          13 11 2 1 2.</_>
-        <_>
-          11 12 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 6 1 -1.</_>
-        <_>
-          10 14 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 6 -1.</_>
-        <_>
-          11 0 5 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 15 12 2 -1.</_>
-        <_>
-          3 15 6 1 2.</_>
-        <_>
-          9 16 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 10 4 -1.</_>
-        <_>
-          7 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 9 12 -1.</_>
-        <_>
-          7 6 3 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 4 -1.</_>
-        <_>
-          15 2 1 2 2.</_>
-        <_>
-          14 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 2 4 -1.</_>
-        <_>
-          6 2 1 2 2.</_>
-        <_>
-          7 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 6 -1.</_>
-        <_>
-          11 0 5 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 10 4 -1.</_>
-        <_>
-          10 4 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 15 2 2 -1.</_>
-        <_>
-          17 15 1 1 2.</_>
-        <_>
-          16 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 15 2 2 -1.</_>
-        <_>
-          4 15 1 1 2.</_>
-        <_>
-          5 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 15 1 2 -1.</_>
-        <_>
-          16 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 15 1 2 -1.</_>
-        <_>
-          5 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 2 12 -1.</_>
-        <_>
-          20 6 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 3 6 -1.</_>
-        <_>
-          3 14 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 18 4 -1.</_>
-        <_>
-          11 10 9 2 2.</_>
-        <_>
-          2 12 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 14 8 -1.</_>
-        <_>
-          8 0 7 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 14 14 -1.</_>
-        <_>
-          8 13 14 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 10 16 -1.</_>
-        <_>
-          6 12 10 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 14 14 -1.</_>
-        <_>
-          8 13 14 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 6 4 1 -1.</_>
-        <_>
-          2 6 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 3 12 15 -1.</_>
-        <_>
-          7 8 12 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 20 9 -1.</_>
-        <_>
-          10 8 10 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 6 -1.</_>
-        <_>
-          11 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 1 6 -1.</_>
-        <_>
-          0 14 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 1 -1.</_>
-        <_>
-          14 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 6 1 -1.</_>
-        <_>
-          7 0 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 2 -1.</_>
-        <_>
-          13 1 1 1 2.</_>
-        <_>
-          12 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 2 -1.</_>
-        <_>
-          8 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 6 -1.</_>
-        <_>
-          14 0 1 3 2.</_>
-        <_>
-          13 3 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 6 -1.</_>
-        <_>
-          7 0 1 3 2.</_>
-        <_>
-          8 3 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 4 2 -1.</_>
-        <_>
-          13 2 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 2 3 6 -1.</_>
-        <_>
-          8 4 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 7 6 -1.</_>
-        <_>
-          12 9 7 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 7 -1.</_>
-        <_>
-          10 9 2 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 9 7 4 -1.</_>
-        <_>
-          13 10 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 7 -1.</_>
-        <_>
-          9 10 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 10 2 2 -1.</_>
-        <_>
-          6 10 1 1 2.</_>
-        <_>
-          7 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 4 -1.</_>
-        <_>
-          11 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 4 -1.</_>
-        <_>
-          12 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 4 -1.</_>
-        <_>
-          9 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 16 6 3 -1.</_>
-        <_>
-          8 17 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 2 -1.</_>
-        <_>
-          10 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 4 1 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 2 -1.</_>
-        <_>
-          11 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 12 10 1 -1.</_>
-        <_>
-          9 12 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 12 6 -1.</_>
-        <_>
-          4 3 4 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 16 12 -1.</_>
-        <_>
-          7 2 8 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 1 -1.</_>
-        <_>
-          10 5 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 2 -1.</_>
-        <_>
-          19 0 2 1 2.</_>
-        <_>
-          17 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 4 -1.</_>
-        <_>
-          9 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          9 7 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 3 -1.</_>
-        <_>
-          9 8 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 3 6 -1.</_>
-        <_>
-          12 5 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 2 -1.</_>
-        <_>
-          1 0 2 1 2.</_>
-        <_>
-          3 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 2 -1.</_>
-        <_>
-          19 0 2 1 2.</_>
-        <_>
-          17 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 18 12 -1.</_>
-        <_>
-          0 9 18 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 12 14 -1.</_>
-        <_>
-          5 13 12 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 2 -1.</_>
-        <_>
-          1 0 2 1 2.</_>
-        <_>
-          3 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 6 -1.</_>
-        <_>
-          11 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 2 -1.</_>
-        <_>
-          11 0 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 9 6 -1.</_>
-        <_>
-          10 0 3 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 6 -1.</_>
-        <_>
-          9 4 2 3 2.</_>
-        <_>
-          11 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 2 1 -1.</_>
-        <_>
-          13 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 1 4 -1.</_>
-        <_>
-          11 14 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 3 -1.</_>
-        <_>
-          10 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 8 -1.</_>
-        <_>
-          9 4 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 1 21 18 -1.</_>
-        <_>
-          7 7 7 6 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 8 4 -1.</_>
-        <_>
-          11 3 4 2 2.</_>
-        <_>
-          7 5 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 6 -1.</_>
-        <_>
-          11 1 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 2 2 2 -1.</_>
-        <_>
-          13 2 1 1 2.</_>
-        <_>
-          12 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 2 2 -1.</_>
-        <_>
-          8 2 1 1 2.</_>
-        <_>
-          9 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 4 -1.</_>
-        <_>
-          11 1 1 2 2.</_>
-        <_>
-          10 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 1 -1.</_>
-        <_>
-          10 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 3 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 2 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 4 -1.</_>
-        <_>
-          11 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 4 -1.</_>
-        <_>
-          9 6 2 2 2.</_>
-        <_>
-          11 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 4 -1.</_>
-        <_>
-          13 6 1 2 2.</_>
-        <_>
-          12 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 3 -1.</_>
-        <_>
-          10 6 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 1 -1.</_>
-        <_>
-          12 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 6 -1.</_>
-        <_>
-          10 3 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 4 -1.</_>
-        <_>
-          10 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 3 -1.</_>
-        <_>
-          10 7 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 8 8 -1.</_>
-        <_>
-          9 9 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 3 9 -1.</_>
-        <_>
-          8 5 3 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 1 -1.</_>
-        <_>
-          12 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 16 1 4 -1.</_>
-        <_>
-          8 17 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 1 -1.</_>
-        <_>
-          12 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 2 -1.</_>
-        <_>
-          0 3 4 1 2.</_>
-        <_>
-          4 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 1 -1.</_>
-        <_>
-          12 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 1 -1.</_>
-        <_>
-          9 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 1 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 1 -1.</_>
-        <_>
-          10 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 6 5 -1.</_>
-        <_>
-          9 7 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 6 5 -1.</_>
-        <_>
-          10 7 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 3 2 -1.</_>
-        <_>
-          12 7 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 3 -1.</_>
-        <_>
-          10 7 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 3 -1.</_>
-        <_>
-          11 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 5 -1.</_>
-        <_>
-          10 11 2 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 8 6 2 -1.</_>
-        <_>
-          15 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 1 3 -1.</_>
-        <_>
-          1 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 3 1 -1.</_>
-        <_>
-          19 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 3 1 -1.</_>
-        <_>
-          2 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 17 1 3 -1.</_>
-        <_>
-          20 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 1 3 -1.</_>
-        <_>
-          1 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 3 1 -1.</_>
-        <_>
-          19 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 8 6 2 -1.</_>
-        <_>
-          4 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 3 1 -1.</_>
-        <_>
-          19 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 9 -1.</_>
-        <_>
-          10 1 2 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 3 1 -1.</_>
-        <_>
-          19 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 3 1 -1.</_>
-        <_>
-          2 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 15 2 1 -1.</_>
-        <_>
-          15 15 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 8 6 9 -1.</_>
-        <_>
-          3 11 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 12 4 -1.</_>
-        <_>
-          13 8 6 2 2.</_>
-        <_>
-          7 10 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 14 8 -1.</_>
-        <_>
-          3 6 7 4 2.</_>
-        <_>
-          10 10 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 2 -1.</_>
-        <_>
-          13 1 1 1 2.</_>
-        <_>
-          12 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 1 2 -1.</_>
-        <_>
-          6 5 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 15 2 1 -1.</_>
-        <_>
-          15 15 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 5 2 -1.</_>
-        <_>
-          11 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          11 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 15 1 2 -1.</_>
-        <_>
-          7 15 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 2 -1.</_>
-        <_>
-          13 1 1 1 2.</_>
-        <_>
-          12 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 2 -1.</_>
-        <_>
-          8 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 1 4 -1.</_>
-        <_>
-          11 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 4 -1.</_>
-        <_>
-          10 0 1 2 2.</_>
-        <_>
-          11 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 2 -1.</_>
-        <_>
-          8 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 6 -1.</_>
-        <_>
-          9 7 2 3 2.</_>
-        <_>
-          11 10 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 6 6 -1.</_>
-        <_>
-          16 7 2 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 6 -1.</_>
-        <_>
-          6 7 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 5 17 3 -1.</_>
-        <_>
-          4 6 17 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 1 2 -1.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 5 -1.</_>
-        <_>
-          13 5 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 4 1 -1.</_>
-        <_>
-          9 12 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 1 2 -1.</_>
-        <_>
-          15 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 2 3 -1.</_>
-        <_>
-          9 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 12 -1.</_>
-        <_>
-          14 6 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 4 -1.</_>
-        <_>
-          10 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 6 -1.</_>
-        <_>
-          11 6 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 8 -1.</_>
-        <_>
-          14 0 1 4 2.</_>
-        <_>
-          13 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 8 -1.</_>
-        <_>
-          7 0 1 4 2.</_>
-        <_>
-          8 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 1 2 -1.</_>
-        <_>
-          15 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 1 2 -1.</_>
-        <_>
-          6 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 1 3 -1.</_>
-        <_>
-          15 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 6 1 3 -1.</_>
-        <_>
-          6 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 2 -1.</_>
-        <_>
-          13 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 4 1 -1.</_>
-        <_>
-          11 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 2 -1.</_>
-        <_>
-          13 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 10 1 3 -1.</_>
-        <_>
-          2 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 1 2 -1.</_>
-        <_>
-          18 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 2 2 -1.</_>
-        <_>
-          8 11 1 1 2.</_>
-        <_>
-          9 12 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 1 2 -1.</_>
-        <_>
-          18 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 17 2 2 -1.</_>
-        <_>
-          5 17 1 1 2.</_>
-        <_>
-          6 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 4 9 -1.</_>
-        <_>
-          11 4 2 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 17 1 2 -1.</_>
-        <_>
-          3 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 11 12 2 -1.</_>
-        <_>
-          9 12 12 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 9 4 -1.</_>
-        <_>
-          11 4 9 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 16 1 4 -1.</_>
-        <_>
-          18 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 4 -1.</_>
-        <_>
-          9 7 1 2 2.</_>
-        <_>
-          10 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 9 4 -1.</_>
-        <_>
-          8 8 9 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 1 3 -1.</_>
-        <_>
-          10 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 3 6 -1.</_>
-        <_>
-          10 7 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 14 2 -1.</_>
-        <_>
-          0 7 7 1 2.</_>
-        <_>
-          7 8 7 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 1 2 -1.</_>
-        <_>
-          12 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 1 -1.</_>
-        <_>
-          10 9 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 4 -1.</_>
-        <_>
-          14 0 6 2 2.</_>
-        <_>
-          8 2 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 2 -1.</_>
-        <_>
-          12 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 17 2 2 -1.</_>
-        <_>
-          2 18 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 18 2 1 -1.</_>
-        <_>
-          20 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 5 3 -1.</_>
-        <_>
-          9 10 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 8 19 -1.</_>
-        <_>
-          13 1 4 19 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 2 1 -1.</_>
-        <_>
-          1 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 16 6 4 -1.</_>
-        <_>
-          18 16 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 2 6 -1.</_>
-        <_>
-          6 9 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 16 6 4 -1.</_>
-        <_>
-          18 16 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 6 4 -1.</_>
-        <_>
-          2 16 2 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 17 1 3 -1.</_>
-        <_>
-          21 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 6 8 -1.</_>
-        <_>
-          2 12 3 4 2.</_>
-        <_>
-          5 16 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          21 17 1 3 -1.</_>
-        <_>
-          21 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 17 1 3 -1.</_>
-        <_>
-          0 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 6 4 -1.</_>
-        <_>
-          15 1 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 6 12 9 -1.</_>
-        <_>
-          9 9 4 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 1 -1.</_>
-        <_>
-          12 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 1 -1.</_>
-        <_>
-          9 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 4 1 -1.</_>
-        <_>
-          15 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 1 3 -1.</_>
-        <_>
-          8 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 3 -1.</_>
-        <_>
-          12 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 3 1 -1.</_>
-        <_>
-          8 2 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 16 -1.</_>
-        <_>
-          13 0 1 16 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 2 16 -1.</_>
-        <_>
-          8 0 1 16 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 7 3 -1.</_>
-        <_>
-          13 1 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 2 -1.</_>
-        <_>
-          6 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 1 12 -1.</_>
-        <_>
-          15 6 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 18 6 -1.</_>
-        <_>
-          2 2 9 3 2.</_>
-        <_>
-          11 5 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 4 3 -1.</_>
-        <_>
-          11 12 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 9 15 -1.</_>
-        <_>
-          4 10 3 5 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 8 3 -1.</_>
-        <_>
-          10 7 8 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 8 -1.</_>
-        <_>
-          12 7 1 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 15 9 3 -1.</_>
-        <_>
-          12 16 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 6 -1.</_>
-        <_>
-          9 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 11 -1.</_>
-        <_>
-          14 3 1 11 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 11 3 -1.</_>
-        <_>
-          8 3 11 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 1 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 6 2 -1.</_>
-        <_>
-          2 3 3 1 2.</_>
-        <_>
-          5 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 19 20 1 -1.</_>
-        <_>
-          7 19 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 1 2 -1.</_>
-        <_>
-          6 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 5 -1.</_>
-        <_>
-          13 5 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 14 1 2 -1.</_>
-        <_>
-          7 14 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 13 12 7 -1.</_>
-        <_>
-          5 13 6 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 2 4 -1.</_>
-        <_>
-          6 13 1 2 2.</_>
-        <_>
-          7 15 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 5 8 -1.</_>
-        <_>
-          10 11 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 5 -1.</_>
-        <_>
-          8 5 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 1 -1.</_>
-        <_>
-          10 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 1 -1.</_>
-        <_>
-          7 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 16 6 -1.</_>
-        <_>
-          13 1 8 3 2.</_>
-        <_>
-          5 4 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 16 6 -1.</_>
-        <_>
-          1 1 8 3 2.</_>
-        <_>
-          9 4 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 4 4 8 -1.</_>
-        <_>
-          15 4 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 4 8 -1.</_>
-        <_>
-          5 4 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 4 13 -1.</_>
-        <_>
-          13 0 2 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 3 3 -1.</_>
-        <_>
-          9 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 12 2 1 -1.</_>
-        <_>
-          15 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 4 20 -1.</_>
-        <_>
-          7 0 2 20 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 15 15 -1.</_>
-        <_>
-          5 10 15 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 5 8 -1.</_>
-        <_>
-          7 11 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 12 3 -1.</_>
-        <_>
-          10 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 6 4 -1.</_>
-        <_>
-          10 4 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 3 4 4 -1.</_>
-        <_>
-          9 5 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 1 2 -1.</_>
-        <_>
-          7 12 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 9 3 10 -1.</_>
-        <_>
-          14 14 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 9 -1.</_>
-        <_>
-          10 9 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 20 6 -1.</_>
-        <_>
-          1 16 20 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 3 10 -1.</_>
-        <_>
-          5 14 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 3 6 -1.</_>
-        <_>
-          15 2 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 6 3 -1.</_>
-        <_>
-          7 2 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 3 3 -1.</_>
-        <_>
-          12 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 9 8 1 -1.</_>
-        <_>
-          3 9 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 9 12 3 -1.</_>
-        <_>
-          10 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 9 12 3 -1.</_>
-        <_>
-          6 9 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 1 3 -1.</_>
-        <_>
-          18 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 6 -1.</_>
-        <_>
-          11 6 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 9 12 -1.</_>
-        <_>
-          3 14 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 6 -1.</_>
-        <_>
-          16 7 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          8 9 3 1 2.</_>
-        <_>
-          11 10 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 2 -1.</_>
-        <_>
-          14 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 4 -1.</_>
-        <_>
-          11 6 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 6 -1.</_>
-        <_>
-          11 6 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 4 6 9 -1.</_>
-        <_>
-          8 7 2 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 8 -1.</_>
-        <_>
-          8 7 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 15 2 2 -1.</_>
-        <_>
-          11 15 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 3 6 -1.</_>
-        <_>
-          16 7 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 3 -1.</_>
-        <_>
-          6 7 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 2 -1.</_>
-        <_>
-          12 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 12 7 4 -1.</_>
-        <_>
-          2 13 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 10 10 -1.</_>
-        <_>
-          16 7 5 5 2.</_>
-        <_>
-          11 12 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 13 3 3 -1.</_>
-        <_>
-          2 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 1 3 -1.</_>
-        <_>
-          13 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 3 2 -1.</_>
-        <_>
-          1 12 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 14 -1.</_>
-        <_>
-          14 7 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 14 -1.</_>
-        <_>
-          6 7 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 11 2 -1.</_>
-        <_>
-          6 1 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 7 6 -1.</_>
-        <_>
-          7 5 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 3 1 -1.</_>
-        <_>
-          14 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 1 3 -1.</_>
-        <_>
-          8 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 3 1 -1.</_>
-        <_>
-          14 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 22 14 -1.</_>
-        <_>
-          11 0 11 14 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 3 6 -1.</_>
-        <_>
-          18 9 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 3 6 -1.</_>
-        <_>
-          3 9 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 6 4 -1.</_>
-        <_>
-          15 9 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 14 4 6 -1.</_>
-        <_>
-          2 14 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 16 3 3 -1.</_>
-        <_>
-          19 17 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 16 3 3 -1.</_>
-        <_>
-          2 17 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 1 3 -1.</_>
-        <_>
-          18 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 2 3 1 -1.</_>
-        <_>
-          2 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 3 2 2 -1.</_>
-        <_>
-          21 3 1 1 2.</_>
-        <_>
-          20 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 17 6 2 -1.</_>
-        <_>
-          11 17 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 2 12 -1.</_>
-        <_>
-          20 6 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 6 12 2 -1.</_>
-        <_>
-          2 6 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 12 1 2 -1.</_>
-        <_>
-          18 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 12 1 2 -1.</_>
-        <_>
-          3 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 6 4 -1.</_>
-        <_>
-          15 9 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 15 1 2 -1.</_>
-        <_>
-          3 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 2 -1.</_>
-        <_>
-          14 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 10 7 3 -1.</_>
-        <_>
-          1 11 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 4 6 -1.</_>
-        <_>
-          14 10 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 14 11 3 -1.</_>
-        <_>
-          2 15 11 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 3 3 -1.</_>
-        <_>
-          12 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 1 3 -1.</_>
-        <_>
-          6 15 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 6 4 -1.</_>
-        <_>
-          15 9 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 10 4 -1.</_>
-        <_>
-          9 2 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 4 2 1 -1.</_>
-        <_>
-          13 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 1 2 -1.</_>
-        <_>
-          9 4 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 6 -1.</_>
-        <_>
-          14 3 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 3 6 -1.</_>
-        <_>
-          7 3 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 2 9 -1.</_>
-        <_>
-          8 6 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 9 2 -1.</_>
-        <_>
-          14 6 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 1 9 -1.</_>
-        <_>
-          9 8 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 9 1 -1.</_>
-        <_>
-          13 8 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 12 8 -1.</_>
-        <_>
-          6 8 12 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 6 -1.</_>
-        <_>
-          7 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 3 3 -1.</_>
-        <_>
-          12 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 2 2 -1.</_>
-        <_>
-          0 3 1 1 2.</_>
-        <_>
-          1 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 13 3 3 -1.</_>
-        <_>
-          12 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 2 -1.</_>
-        <_>
-          11 4 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 12 6 -1.</_>
-        <_>
-          15 0 6 3 2.</_>
-        <_>
-          9 3 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 3 -1.</_>
-        <_>
-          10 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 13 3 3 -1.</_>
-        <_>
-          12 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 3 3 -1.</_>
-        <_>
-          9 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 6 -1.</_>
-        <_>
-          13 6 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 6 3 -1.</_>
-        <_>
-          9 6 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 16 2 -1.</_>
-        <_>
-          6 1 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 11 2 -1.</_>
-        <_>
-          5 1 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 2 9 -1.</_>
-        <_>
-          16 3 1 9 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 3 5 2 -1.</_>
-        <_>
-          6 3 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 7 3 -1.</_>
-        <_>
-          12 1 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 1 -1.</_>
-        <_>
-          4 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          9 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 3 -1.</_>
-        <_>
-          10 5 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 4 -1.</_>
-        <_>
-          11 5 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 2 1 -1.</_>
-        <_>
-          11 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 1 6 -1.</_>
-        <_>
-          9 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 6 1 -1.</_>
-        <_>
-          13 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 15 2 2 -1.</_>
-        <_>
-          18 15 1 1 2.</_>
-        <_>
-          17 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 15 2 2 -1.</_>
-        <_>
-          3 15 1 1 2.</_>
-        <_>
-          4 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 18 12 -1.</_>
-        <_>
-          4 7 9 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 7 18 12 -1.</_>
-        <_>
-          9 7 9 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 14 19 -1.</_>
-        <_>
-          8 0 7 19 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 3 4 -1.</_>
-        <_>
-          11 1 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 3 -1.</_>
-        <_>
-          9 6 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 17 6 2 -1.</_>
-        <_>
-          2 18 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 2 -1.</_>
-        <_>
-          12 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 6 3 -1.</_>
-        <_>
-          7 7 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 6 -1.</_>
-        <_>
-          10 8 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 4 -1.</_>
-        <_>
-          8 7 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 15 5 2 -1.</_>
-        <_>
-          13 16 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 20 15 -1.</_>
-        <_>
-          1 9 20 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 12 9 -1.</_>
-        <_>
-          8 2 6 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 4 -1.</_>
-        <_>
-          10 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 6 1 12 -1.</_>
-        <_>
-          15 10 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 4 2 -1.</_>
-        <_>
-          2 0 2 1 2.</_>
-        <_>
-          4 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 16 20 -1.</_>
-        <_>
-          3 10 16 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 1 -1.</_>
-        <_>
-          11 5 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 10 8 -1.</_>
-        <_>
-          12 4 10 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 1 7 18 -1.</_>
-        <_>
-          1 10 7 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 3 10 -1.</_>
-        <_>
-          17 1 1 10 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 10 3 -1.</_>
-        <_>
-          5 1 10 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 8 3 2 -1.</_>
-        <_>
-          12 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 1 -1.</_>
-        <_>
-          9 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 8 -1.</_>
-        <_>
-          11 2 2 4 2.</_>
-        <_>
-          9 6 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 4 -1.</_>
-        <_>
-          9 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 2 -1.</_>
-        <_>
-          12 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 6 -1.</_>
-        <_>
-          9 4 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 8 -1.</_>
-        <_>
-          10 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 6 -1.</_>
-        <_>
-          9 4 2 3 2.</_>
-        <_>
-          11 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 3 2 -1.</_>
-        <_>
-          13 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 4 -1.</_>
-        <_>
-          8 6 3 2 2.</_>
-        <_>
-          11 8 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 3 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 4 -1.</_>
-        <_>
-          9 7 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 4 -1.</_>
-        <_>
-          11 7 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 1 -1.</_>
-        <_>
-          10 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 4 2 -1.</_>
-        <_>
-          18 0 2 1 2.</_>
-        <_>
-          16 1 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 8 -1.</_>
-        <_>
-          9 8 1 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 5 9 -1.</_>
-        <_>
-          11 5 5 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 4 -1.</_>
-        <_>
-          9 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 1 10 -1.</_>
-        <_>
-          11 1 1 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 1 10 1 -1.</_>
-        <_>
-          11 1 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 7 18 9 -1.</_>
-        <_>
-          9 10 6 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 12 1 4 -1.</_>
-        <_>
-          10 14 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 14 1 2 -1.</_>
-        <_>
-          13 14 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 15 2 1 -1.</_>
-        <_>
-          9 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 2 10 -1.</_>
-        <_>
-          13 8 1 5 2.</_>
-        <_>
-          12 13 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 4 2 -1.</_>
-        <_>
-          12 6 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 2 8 -1.</_>
-        <_>
-          14 14 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 7 9 -1.</_>
-        <_>
-          6 6 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 1 -1.</_>
-        <_>
-          11 3 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 2 -1.</_>
-        <_>
-          9 7 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 3 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 1 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 1 2 -1.</_>
-        <_>
-          20 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 6 1 -1.</_>
-        <_>
-          13 13 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 6 1 2 -1.</_>
-        <_>
-          20 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 10 -1.</_>
-        <_>
-          8 8 1 5 2.</_>
-        <_>
-          9 13 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 6 1 2 -1.</_>
-        <_>
-          20 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 1 2 -1.</_>
-        <_>
-          1 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 6 3 -1.</_>
-        <_>
-          4 8 6 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 17 1 3 -1.</_>
-        <_>
-          15 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 4 2 10 -1.</_>
-        <_>
-          1 9 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 8 -1.</_>
-        <_>
-          15 2 2 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 2 -1.</_>
-        <_>
-          8 7 3 1 2.</_>
-        <_>
-          11 8 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 18 9 -1.</_>
-        <_>
-          2 8 18 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 2 4 -1.</_>
-        <_>
-          8 9 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 12 6 -1.</_>
-        <_>
-          10 10 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 12 6 -1.</_>
-        <_>
-          0 10 12 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 4 -1.</_>
-        <_>
-          9 8 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 1 3 -1.</_>
-        <_>
-          12 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 3 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 17 1 3 -1.</_>
-        <_>
-          15 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 6 -1.</_>
-        <_>
-          9 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 2 4 -1.</_>
-        <_>
-          18 6 1 2 2.</_>
-        <_>
-          17 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 17 3 1 -1.</_>
-        <_>
-          2 17 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 17 1 3 -1.</_>
-        <_>
-          6 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 2 -1.</_>
-        <_>
-          18 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 6 2 -1.</_>
-        <_>
-          2 18 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 2 4 -1.</_>
-        <_>
-          18 6 1 2 2.</_>
-        <_>
-          17 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 6 2 4 -1.</_>
-        <_>
-          3 6 1 2 2.</_>
-        <_>
-          4 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 18 5 2 -1.</_>
-        <_>
-          14 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 4 2 -1.</_>
-        <_>
-          8 10 2 1 2.</_>
-        <_>
-          10 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 2 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 5 2 -1.</_>
-        <_>
-          8 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 10 2 -1.</_>
-        <_>
-          6 10 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 3 7 -1.</_>
-        <_>
-          9 11 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 15 1 2 -1.</_>
-        <_>
-          16 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 2 12 -1.</_>
-        <_>
-          9 1 1 6 2.</_>
-        <_>
-          10 7 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 1 3 -1.</_>
-        <_>
-          14 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 1 2 -1.</_>
-        <_>
-          10 1 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 3 3 2 -1.</_>
-        <_>
-          14 3 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 4 -1.</_>
-        <_>
-          8 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 4 -1.</_>
-        <_>
-          8 1 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 0 16 2 -1.</_>
-        <_>
-          6 1 16 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 5 6 6 -1.</_>
-        <_>
-          4 5 3 3 2.</_>
-        <_>
-          7 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 4 -1.</_>
-        <_>
-          14 8 1 2 2.</_>
-        <_>
-          13 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 1 3 -1.</_>
-        <_>
-          8 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 4 -1.</_>
-        <_>
-          14 8 1 2 2.</_>
-        <_>
-          13 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 15 1 2 -1.</_>
-        <_>
-          5 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 8 8 -1.</_>
-        <_>
-          7 7 4 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 6 -1.</_>
-        <_>
-          10 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 8 6 -1.</_>
-        <_>
-          7 8 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 1 3 -1.</_>
-        <_>
-          7 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 1 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 13 4 3 -1.</_>
-        <_>
-          8 14 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 9 3 3 -1.</_>
-        <_>
-          5 10 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 1 -1.</_>
-        <_>
-          15 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 18 1 -1.</_>
-        <_>
-          10 6 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 5 10 12 -1.</_>
-        <_>
-          7 9 10 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 3 1 -1.</_>
-        <_>
-          7 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 9 -1.</_>
-        <_>
-          14 1 1 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 2 1 -1.</_>
-        <_>
-          7 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 1 3 -1.</_>
-        <_>
-          13 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 14 2 1 -1.</_>
-        <_>
-          9 14 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 14 2 2 -1.</_>
-        <_>
-          12 14 1 1 2.</_>
-        <_>
-          11 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 14 2 2 -1.</_>
-        <_>
-          9 14 1 1 2.</_>
-        <_>
-          10 15 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 7 1 3 -1.</_>
-        <_>
-          13 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 13 1 2 -1.</_>
-        <_>
-          7 13 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 4 -1.</_>
-        <_>
-          14 8 1 2 2.</_>
-        <_>
-          13 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 9 7 8 -1.</_>
-        <_>
-          1 11 7 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 15 1 4 -1.</_>
-        <_>
-          20 16 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 3 12 -1.</_>
-        <_>
-          3 11 3 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 15 1 4 -1.</_>
-        <_>
-          20 16 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 15 1 4 -1.</_>
-        <_>
-          1 16 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 4 -1.</_>
-        <_>
-          14 8 1 2 2.</_>
-        <_>
-          13 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 1 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 7 5 12 -1.</_>
-        <_>
-          16 10 5 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 12 3 2 -1.</_>
-        <_>
-          6 13 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 6 4 2 -1.</_>
-        <_>
-          15 6 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 2 -1.</_>
-        <_>
-          10 6 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 8 2 4 -1.</_>
-        <_>
-          14 8 1 2 2.</_>
-        <_>
-          13 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 2 4 -1.</_>
-        <_>
-          7 8 1 2 2.</_>
-        <_>
-          8 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 3 6 -1.</_>
-        <_>
-          13 3 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 6 3 -1.</_>
-        <_>
-          9 3 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 11 3 1 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 17 1 3 -1.</_>
-        <_>
-          6 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 1 3 -1.</_>
-        <_>
-          12 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 1 3 -1.</_>
-        <_>
-          9 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 4 2 -1.</_>
-        <_>
-          15 6 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 4 -1.</_>
-        <_>
-          7 6 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 4 -1.</_>
-        <_>
-          9 3 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 4 3 3 -1.</_>
-        <_>
-          14 5 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 3 3 -1.</_>
-        <_>
-          7 5 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 2 1 -1.</_>
-        <_>
-          16 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 2 1 -1.</_>
-        <_>
-          5 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 13 1 3 -1.</_>
-        <_>
-          17 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 13 1 3 -1.</_>
-        <_>
-          4 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 12 10 3 -1.</_>
-        <_>
-          12 13 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 10 3 -1.</_>
-        <_>
-          0 13 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 5 -1.</_>
-        <_>
-          13 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 4 3 5 -1.</_>
-        <_>
-          8 4 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 3 1 -1.</_>
-        <_>
-          13 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 2 -1.</_>
-        <_>
-          10 4 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 8 -1.</_>
-        <_>
-          10 1 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 6 5 -1.</_>
-        <_>
-          10 0 2 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 2 1 -1.</_>
-        <_>
-          12 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 11 -1.</_>
-        <_>
-          8 0 1 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 11 3 1 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 3 2 2 -1.</_>
-        <_>
-          10 3 1 1 2.</_>
-        <_>
-          11 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 11 3 1 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 6 -1.</_>
-        <_>
-          8 8 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 8 2 2 -1.</_>
-        <_>
-          12 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 2 -1.</_>
-        <_>
-          10 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 12 -1.</_>
-        <_>
-          10 4 2 12 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 12 -1.</_>
-        <_>
-          10 6 2 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 8 12 -1.</_>
-        <_>
-          8 10 8 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 10 14 2 -1.</_>
-        <_>
-          7 10 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 3 3 -1.</_>
-        <_>
-          11 1 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 2 2 -1.</_>
-        <_>
-          18 0 1 1 2.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 3 -1.</_>
-        <_>
-          9 8 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 6 -1.</_>
-        <_>
-          10 6 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 8 2 -1.</_>
-        <_>
-          7 12 4 1 2.</_>
-        <_>
-          11 13 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 9 2 -1.</_>
-        <_>
-          8 1 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 16 1 -1.</_>
-        <_>
-          6 2 8 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 10 3 2 -1.</_>
-        <_>
-          13 11 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          9 11 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 11 3 2 -1.</_>
-        <_>
-          12 12 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 11 2 3 -1.</_>
-        <_>
-          10 12 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 13 4 2 -1.</_>
-        <_>
-          9 13 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 3 -1.</_>
-        <_>
-          12 1 4 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 1 -1.</_>
-        <_>
-          8 13 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 2 2 -1.</_>
-        <_>
-          18 0 1 1 2.</_>
-        <_>
-          17 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 2 -1.</_>
-        <_>
-          3 0 1 1 2.</_>
-        <_>
-          4 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 6 2 -1.</_>
-        <_>
-          11 8 3 1 2.</_>
-        <_>
-          8 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 4 -1.</_>
-        <_>
-          9 6 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 4 -1.</_>
-        <_>
-          19 0 2 2 2.</_>
-        <_>
-          17 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 1 3 -1.</_>
-        <_>
-          9 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 9 15 -1.</_>
-        <_>
-          15 0 3 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 9 15 -1.</_>
-        <_>
-          4 0 3 15 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 2 3 10 -1.</_>
-        <_>
-          17 2 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 3 10 -1.</_>
-        <_>
-          4 2 1 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 1 4 -1.</_>
-        <_>
-          18 1 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 8 3 2 -1.</_>
-        <_>
-          3 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 18 4 1 -1.</_>
-        <_>
-          14 18 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 12 8 -1.</_>
-        <_>
-          5 10 6 4 2.</_>
-        <_>
-          11 14 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 1 6 -1.</_>
-        <_>
-          13 6 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 6 1 -1.</_>
-        <_>
-          9 6 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 3 1 6 -1.</_>
-        <_>
-          15 6 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 1 6 -1.</_>
-        <_>
-          6 6 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 4 -1.</_>
-        <_>
-          19 0 2 2 2.</_>
-        <_>
-          17 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 2 2 -1.</_>
-        <_>
-          7 7 1 1 2.</_>
-        <_>
-          8 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 0 4 4 -1.</_>
-        <_>
-          19 0 2 2 2.</_>
-        <_>
-          17 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 4 4 -1.</_>
-        <_>
-          1 0 2 2 2.</_>
-        <_>
-          3 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 1 -1.</_>
-        <_>
-          14 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 15 2 -1.</_>
-        <_>
-          2 14 15 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 8 1 4 -1.</_>
-        <_>
-          14 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 1 4 -1.</_>
-        <_>
-          7 10 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 2 3 -1.</_>
-        <_>
-          14 7 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 2 -1.</_>
-        <_>
-          8 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          20 0 1 2 -1.</_>
-        <_>
-          20 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 12 4 -1.</_>
-        <_>
-          8 5 12 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 8 -1.</_>
-        <_>
-          11 7 2 4 2.</_>
-        <_>
-          9 11 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 3 3 -1.</_>
-        <_>
-          9 7 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 1 3 -1.</_>
-        <_>
-          13 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 8 3 12 -1.</_>
-        <_>
-          8 8 1 12 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 16 3 3 -1.</_>
-        <_>
-          17 16 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 16 18 -1.</_>
-        <_>
-          3 0 8 9 2.</_>
-        <_>
-          11 9 8 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 7 1 3 -1.</_>
-        <_>
-          19 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 1 3 -1.</_>
-        <_>
-          8 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 7 1 3 -1.</_>
-        <_>
-          19 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 1 3 -1.</_>
-        <_>
-          2 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 1 -1.</_>
-        <_>
-          10 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 2 4 -1.</_>
-        <_>
-          7 1 1 2 2.</_>
-        <_>
-          8 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 2 2 -1.</_>
-        <_>
-          14 2 1 1 2.</_>
-        <_>
-          13 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 1 2 -1.</_>
-        <_>
-          6 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 2 2 -1.</_>
-        <_>
-          14 2 1 1 2.</_>
-        <_>
-          13 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 2 2 -1.</_>
-        <_>
-          7 2 1 1 2.</_>
-        <_>
-          8 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 16 4 -1.</_>
-        <_>
-          6 15 16 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 3 3 -1.</_>
-        <_>
-          1 12 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 9 -1.</_>
-        <_>
-          11 7 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 1 2 -1.</_>
-        <_>
-          1 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 1 2 -1.</_>
-        <_>
-          16 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 1 2 -1.</_>
-        <_>
-          6 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 8 12 -1.</_>
-        <_>
-          13 0 4 12 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 12 8 -1.</_>
-        <_>
-          9 0 12 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 1 4 4 -1.</_>
-        <_>
-          14 1 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 2 -1.</_>
-        <_>
-          5 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 1 -1.</_>
-        <_>
-          14 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 1 3 -1.</_>
-        <_>
-          5 1 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 3 1 -1.</_>
-        <_>
-          14 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 3 1 -1.</_>
-        <_>
-          7 2 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 3 1 -1.</_>
-        <_>
-          15 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 1 3 -1.</_>
-        <_>
-          7 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 11 8 6 -1.</_>
-        <_>
-          18 11 4 3 2.</_>
-        <_>
-          14 14 4 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 2 -1.</_>
-        <_>
-          8 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 5 -1.</_>
-        <_>
-          8 7 3 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 3 6 -1.</_>
-        <_>
-          10 11 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 2 -1.</_>
-        <_>
-          10 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 2 -1.</_>
-        <_>
-          8 11 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 4 8 -1.</_>
-        <_>
-          9 8 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 15 6 -1.</_>
-        <_>
-          7 11 5 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 21 3 -1.</_>
-        <_>
-          8 8 7 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 4 4 -1.</_>
-        <_>
-          8 1 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 0 1 8 -1.</_>
-        <_>
-          17 0 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 4 1 3 -1.</_>
-        <_>
-          2 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 1 4 -1.</_>
-        <_>
-          12 8 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 1 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 3 -1.</_>
-        <_>
-          12 7 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 3 3 -1.</_>
-        <_>
-          9 7 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 2 6 -1.</_>
-        <_>
-          13 6 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 2 1 -1.</_>
-        <_>
-          10 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 10 5 6 -1.</_>
-        <_>
-          9 12 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 3 3 -1.</_>
-        <_>
-          11 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 13 3 3 -1.</_>
-        <_>
-          10 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 5 -1.</_>
-        <_>
-          11 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 3 6 10 -1.</_>
-        <_>
-          10 3 2 10 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 14 16 3 -1.</_>
-        <_>
-          3 15 16 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 2 -1.</_>
-        <_>
-          9 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 9 -1.</_>
-        <_>
-          14 13 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 12 2 4 -1.</_>
-        <_>
-          11 12 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 2 4 10 -1.</_>
-        <_>
-          17 2 2 5 2.</_>
-        <_>
-          15 7 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 6 4 -1.</_>
-        <_>
-          5 10 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 3 16 -1.</_>
-        <_>
-          14 11 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 1 3 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 3 16 -1.</_>
-        <_>
-          14 11 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 3 16 -1.</_>
-        <_>
-          5 11 3 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 3 8 -1.</_>
-        <_>
-          15 11 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 2 4 10 -1.</_>
-        <_>
-          3 2 2 5 2.</_>
-        <_>
-          5 7 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 3 3 -1.</_>
-        <_>
-          11 6 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 10 -1.</_>
-        <_>
-          10 8 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 4 -1.</_>
-        <_>
-          10 9 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 3 4 -1.</_>
-        <_>
-          8 12 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 3 6 -1.</_>
-        <_>
-          11 10 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 3 6 -1.</_>
-        <_>
-          10 10 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 12 6 2 -1.</_>
-        <_>
-          15 12 3 1 2.</_>
-        <_>
-          12 13 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 8 8 12 -1.</_>
-        <_>
-          0 8 4 6 2.</_>
-        <_>
-          4 14 4 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 4 8 -1.</_>
-        <_>
-          18 10 2 4 2.</_>
-        <_>
-          16 14 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 4 4 -1.</_>
-        <_>
-          10 5 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 10 4 -1.</_>
-        <_>
-          11 5 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 6 2 -1.</_>
-        <_>
-          11 7 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 19 6 1 -1.</_>
-        <_>
-          9 19 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 11 10 8 -1.</_>
-        <_>
-          3 11 5 4 2.</_>
-        <_>
-          8 15 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 15 1 2 -1.</_>
-        <_>
-          18 16 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 3 1 -1.</_>
-        <_>
-          11 10 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 13 2 2 -1.</_>
-        <_>
-          13 13 1 1 2.</_>
-        <_>
-          12 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 2 -1.</_>
-        <_>
-          8 13 1 1 2.</_>
-        <_>
-          9 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 14 2 -1.</_>
-        <_>
-          5 1 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 4 1 -1.</_>
-        <_>
-          8 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 2 -1.</_>
-        <_>
-          13 5 1 1 2.</_>
-        <_>
-          12 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 4 1 -1.</_>
-        <_>
-          4 1 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 6 -1.</_>
-        <_>
-          12 8 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 4 -1.</_>
-        <_>
-          8 9 3 2 2.</_>
-        <_>
-          11 11 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 12 3 -1.</_>
-        <_>
-          5 8 12 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 3 3 -1.</_>
-        <_>
-          6 1 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 8 2 2 -1.</_>
-        <_>
-          20 8 1 1 2.</_>
-        <_>
-          19 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 3 -1.</_>
-        <_>
-          10 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 18 1 2 -1.</_>
-        <_>
-          11 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 1 4 6 -1.</_>
-        <_>
-          9 3 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 3 -1.</_>
-        <_>
-          9 5 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 4 1 -1.</_>
-        <_>
-          10 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 16 11 -1.</_>
-        <_>
-          6 1 8 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 15 1 3 -1.</_>
-        <_>
-          2 16 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 4 -1.</_>
-        <_>
-          8 8 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 14 2 2 -1.</_>
-        <_>
-          10 15 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 6 3 4 -1.</_>
-        <_>
-          18 7 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 6 -1.</_>
-        <_>
-          10 7 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 2 6 -1.</_>
-        <_>
-          13 3 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 6 -1.</_>
-        <_>
-          8 3 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 16 2 2 -1.</_>
-        <_>
-          10 17 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 8 4 10 -1.</_>
-        <_>
-          4 13 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 12 6 -1.</_>
-        <_>
-          13 13 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 8 3 -1.</_>
-        <_>
-          5 1 8 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          17 0 1 2 2.</_>
-        <_>
-          16 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 2 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 2 4 -1.</_>
-        <_>
-          4 0 1 2 2.</_>
-        <_>
-          5 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 10 2 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_>
-        <_>
-          11 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 10 2 2 -1.</_>
-        <_>
-          9 10 1 1 2.</_>
-        <_>
-          10 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 17 1 3 -1.</_>
-        <_>
-          18 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 17 1 3 -1.</_>
-        <_>
-          3 18 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 2 1 -1.</_>
-        <_>
-          13 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 14 4 -1.</_>
-        <_>
-          0 0 7 2 2.</_>
-        <_>
-          7 2 7 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 2 3 -1.</_>
-        <_>
-          13 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 8 3 -1.</_>
-        <_>
-          6 4 8 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 1 3 3 -1.</_>
-        <_>
-          12 2 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 1 3 3 -1.</_>
-        <_>
-          10 2 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 9 6 -1.</_>
-        <_>
-          11 3 9 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 2 1 -1.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 12 3 -1.</_>
-        <_>
-          9 7 4 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 7 2 -1.</_>
-        <_>
-          11 3 7 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 3 -1.</_>
-        <_>
-          12 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 18 3 2 -1.</_>
-        <_>
-          3 19 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 12 1 8 -1.</_>
-        <_>
-          17 14 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 18 8 2 -1.</_>
-        <_>
-          4 19 8 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 16 9 2 -1.</_>
-        <_>
-          16 16 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 9 2 -1.</_>
-        <_>
-          3 16 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 10 2 -1.</_>
-        <_>
-          11 3 5 1 2.</_>
-        <_>
-          6 4 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 16 6 4 -1.</_>
-        <_>
-          3 16 3 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 13 1 6 -1.</_>
-        <_>
-          20 13 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 13 6 1 -1.</_>
-        <_>
-          2 13 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          21 12 1 2 -1.</_>
-        <_>
-          21 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 18 10 -1.</_>
-        <_>
-          1 5 18 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 0 2 4 -1.</_>
-        <_>
-          17 0 1 2 2.</_>
-        <_>
-          16 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 2 -1.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 1 4 -1.</_>
-        <_>
-          11 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 11 3 -1.</_>
-        <_>
-          10 4 11 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 6 -1.</_>
-        <_>
-          11 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 6 -1.</_>
-        <_>
-          10 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 1 3 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 3 12 -1.</_>
-        <_>
-          8 6 1 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 9 3 2 -1.</_>
-        <_>
-          13 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 3 2 -1.</_>
-        <_>
-          8 9 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 4 -1.</_>
-        <_>
-          9 1 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 1 4 -1.</_>
-        <_>
-          10 6 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 4 10 -1.</_>
-        <_>
-          10 6 4 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 5 2 -1.</_>
-        <_>
-          10 7 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 6 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 6 -1.</_>
-        <_>
-          9 4 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 12 2 -1.</_>
-        <_>
-          12 2 6 1 2.</_>
-        <_>
-          6 3 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 12 2 -1.</_>
-        <_>
-          4 2 6 1 2.</_>
-        <_>
-          10 3 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 1 3 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 3 6 -1.</_>
-        <_>
-          9 2 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 1 -1.</_>
-        <_>
-          10 0 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 1 3 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 3 3 -1.</_>
-        <_>
-          13 4 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 3 3 3 -1.</_>
-        <_>
-          9 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 9 6 3 -1.</_>
-        <_>
-          9 9 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 10 6 -1.</_>
-        <_>
-          6 4 5 3 2.</_>
-        <_>
-          11 7 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 2 2 -1.</_>
-        <_>
-          11 0 1 1 2.</_>
-        <_>
-          10 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 4 3 -1.</_>
-        <_>
-          11 1 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 1 10 7 -1.</_>
-        <_>
-          6 1 5 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 1 2 -1.</_>
-        <_>
-          0 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 1 3 14 -1.</_>
-        <_>
-          15 2 1 14 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 8 1 3 -1.</_>
-        <_>
-          9 9 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 4 3 5 -1.</_>
-        <_>
-          13 5 1 5 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 5 3 -1.</_>
-        <_>
-          9 5 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 4 3 6 -1.</_>
-        <_>
-          15 4 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 14 3 -1.</_>
-        <_>
-          7 2 14 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 4 2 3 -1.</_>
-        <_>
-          17 4 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 9 2 -1.</_>
-        <_>
-          3 5 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 2 -1.</_>
-        <_>
-          14 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 2 5 -1.</_>
-        <_>
-          6 4 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 3 4 -1.</_>
-        <_>
-          14 9 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 8 4 3 -1.</_>
-        <_>
-          8 9 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 4 -1.</_>
-        <_>
-          11 6 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 6 3 2 -1.</_>
-        <_>
-          7 6 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 1 8 -1.</_>
-        <_>
-          9 7 1 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 8 1 -1.</_>
-        <_>
-          13 7 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 9 4 10 -1.</_>
-        <_>
-          20 9 2 5 2.</_>
-        <_>
-          18 14 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 4 4 2 -1.</_>
-        <_>
-          5 4 2 1 2.</_>
-        <_>
-          7 5 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 9 4 10 -1.</_>
-        <_>
-          20 9 2 5 2.</_>
-        <_>
-          18 14 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 1 -1.</_>
-        <_>
-          9 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 1 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 3 -1.</_>
-        <_>
-          10 5 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 3 -1.</_>
-        <_>
-          11 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 8 18 -1.</_>
-        <_>
-          6 0 4 18 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 1 -1.</_>
-        <_>
-          11 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 2 -1.</_>
-        <_>
-          10 4 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 4 -1.</_>
-        <_>
-          11 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 10 3 -1.</_>
-        <_>
-          5 6 10 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 3 -1.</_>
-        <_>
-          11 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 3 2 -1.</_>
-        <_>
-          1 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 6 3 -1.</_>
-        <_>
-          10 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 2 6 13 -1.</_>
-        <_>
-          10 2 3 13 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 20 9 -1.</_>
-        <_>
-          2 3 10 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 2 2 -1.</_>
-        <_>
-          9 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 6 -1.</_>
-        <_>
-          11 7 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 2 2 -1.</_>
-        <_>
-          9 0 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 6 1 -1.</_>
-        <_>
-          10 1 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 18 9 -1.</_>
-        <_>
-          7 10 6 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 6 6 -1.</_>
-        <_>
-          14 10 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 8 8 -1.</_>
-        <_>
-          8 1 4 8 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 8 12 -1.</_>
-        <_>
-          11 13 8 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 0 16 12 -1.</_>
-        <_>
-          2 3 16 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 10 9 -1.</_>
-        <_>
-          8 5 10 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 5 -1.</_>
-        <_>
-          11 5 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 5 -1.</_>
-        <_>
-          11 0 2 5 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 4 -1.</_>
-        <_>
-          11 0 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 8 7 4 -1.</_>
-        <_>
-          14 9 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 0 9 6 -1.</_>
-        <_>
-          8 2 9 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 4 15 9 -1.</_>
-        <_>
-          10 7 5 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 3 -1.</_>
-        <_>
-          8 6 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 12 18 -1.</_>
-        <_>
-          11 7 4 6 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 10 -1.</_>
-        <_>
-          11 5 2 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 1 12 18 -1.</_>
-        <_>
-          11 7 4 6 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 12 18 -1.</_>
-        <_>
-          7 7 4 6 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 11 2 2 -1.</_>
-        <_>
-          15 11 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 11 2 2 -1.</_>
-        <_>
-          7 11 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 9 2 2 -1.</_>
-        <_>
-          13 9 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 9 2 2 -1.</_>
-        <_>
-          9 9 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 7 6 6 -1.</_>
-        <_>
-          12 9 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 6 12 -1.</_>
-        <_>
-          8 7 2 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 12 10 -1.</_>
-        <_>
-          14 0 6 5 2.</_>
-        <_>
-          8 5 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 4 -1.</_>
-        <_>
-          10 5 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 8 2 -1.</_>
-        <_>
-          13 0 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 6 4 -1.</_>
-        <_>
-          0 11 3 2 2.</_>
-        <_>
-          3 13 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 6 3 -1.</_>
-        <_>
-          10 6 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 6 6 -1.</_>
-        <_>
-          4 1 3 3 2.</_>
-        <_>
-          7 4 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 3 -1.</_>
-        <_>
-          13 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 1 -1.</_>
-        <_>
-          5 0 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 6 4 -1.</_>
-        <_>
-          12 0 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 6 11 8 -1.</_>
-        <_>
-          3 8 11 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 12 1 2 -1.</_>
-        <_>
-          20 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 12 1 2 -1.</_>
-        <_>
-          1 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 12 2 2 -1.</_>
-        <_>
-          20 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 2 2 -1.</_>
-        <_>
-          8 10 1 1 2.</_>
-        <_>
-          9 11 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 11 3 3 -1.</_>
-        <_>
-          13 12 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 11 3 3 -1.</_>
-        <_>
-          8 12 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 12 2 2 -1.</_>
-        <_>
-          20 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 2 2 -1.</_>
-        <_>
-          0 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 4 8 -1.</_>
-        <_>
-          13 5 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 4 8 -1.</_>
-        <_>
-          7 5 2 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 11 6 7 -1.</_>
-        <_>
-          10 11 2 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 1 6 -1.</_>
-        <_>
-          10 10 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 4 20 -1.</_>
-        <_>
-          11 0 2 20 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 5 16 -1.</_>
-        <_>
-          4 4 5 8 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          19 0 2 14 -1.</_>
-        <_>
-          19 7 2 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 1 4 -1.</_>
-        <_>
-          11 12 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 4 -1.</_>
-        <_>
-          8 9 3 2 2.</_>
-        <_>
-          11 11 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 2 3 -1.</_>
-        <_>
-          13 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 2 -1.</_>
-        <_>
-          9 1 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 0 2 4 -1.</_>
-        <_>
-          18 0 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 0 4 2 -1.</_>
-        <_>
-          4 0 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 2 -1.</_>
-        <_>
-          8 10 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 6 3 6 -1.</_>
-        <_>
-          7 8 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 1 4 -1.</_>
-        <_>
-          13 8 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 16 6 -1.</_>
-        <_>
-          8 12 8 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 16 12 3 -1.</_>
-        <_>
-          5 16 6 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 12 6 -1.</_>
-        <_>
-          6 14 6 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 15 1 4 -1.</_>
-        <_>
-          18 16 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 5 2 3 -1.</_>
-        <_>
-          4 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 14 2 -1.</_>
-        <_>
-          6 2 14 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 15 1 4 -1.</_>
-        <_>
-          3 16 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 6 2 -1.</_>
-        <_>
-          14 0 6 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 6 -1.</_>
-        <_>
-          8 0 1 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 13 2 2 -1.</_>
-        <_>
-          17 13 1 1 2.</_>
-        <_>
-          16 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 1 10 2 -1.</_>
-        <_>
-          6 1 5 1 2.</_>
-        <_>
-          11 2 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 13 2 2 -1.</_>
-        <_>
-          17 13 1 1 2.</_>
-        <_>
-          16 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 13 2 2 -1.</_>
-        <_>
-          4 13 1 1 2.</_>
-        <_>
-          5 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 13 2 2 -1.</_>
-        <_>
-          17 13 1 1 2.</_>
-        <_>
-          16 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 13 2 2 -1.</_>
-        <_>
-          4 13 1 1 2.</_>
-        <_>
-          5 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 3 1 -1.</_>
-        <_>
-          15 11 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 1 3 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 8 7 9 -1.</_>
-        <_>
-          13 11 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 7 9 -1.</_>
-        <_>
-          2 11 7 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 13 2 1 -1.</_>
-        <_>
-          17 13 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 13 1 2 -1.</_>
-        <_>
-          5 13 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 11 3 1 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 1 2 -1.</_>
-        <_>
-          5 14 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          16 9 4 9 -1.</_>
-        <_>
-          16 12 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 9 4 9 -1.</_>
-        <_>
-          2 12 4 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 9 -1.</_>
-        <_>
-          16 1 1 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          2 0 12 10 -1.</_>
-        <_>
-          2 0 6 5 2.</_>
-        <_>
-          8 5 6 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 18 11 -1.</_>
-        <_>
-          4 2 9 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 2 18 11 -1.</_>
-        <_>
-          9 2 9 11 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 8 14 -1.</_>
-        <_>
-          14 1 4 7 2.</_>
-        <_>
-          10 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 8 14 -1.</_>
-        <_>
-          4 1 4 7 2.</_>
-        <_>
-          8 8 4 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 6 2 4 -1.</_>
-        <_>
-          15 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 6 2 4 -1.</_>
-        <_>
-          5 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 7 3 -1.</_>
-        <_>
-          13 11 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 10 3 7 -1.</_>
-        <_>
-          9 11 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 18 2 2 -1.</_>
-        <_>
-          17 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 18 2 2 -1.</_>
-        <_>
-          4 18 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 3 9 -1.</_>
-        <_>
-          16 1 1 9 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 0 9 3 -1.</_>
-        <_>
-          6 1 9 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 2 6 8 -1.</_>
-        <_>
-          9 4 6 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 4 2 -1.</_>
-        <_>
-          10 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 1 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 3 2 -1.</_>
-        <_>
-          9 8 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 3 -1.</_>
-        <_>
-          11 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 3 1 -1.</_>
-        <_>
-          10 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 2 2 -1.</_>
-        <_>
-          13 7 1 1 2.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 6 -1.</_>
-        <_>
-          9 8 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 8 2 -1.</_>
-        <_>
-          10 4 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 12 4 2 -1.</_>
-        <_>
-          9 12 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 14 1 2 -1.</_>
-        <_>
-          14 14 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 13 2 4 -1.</_>
-        <_>
-          10 15 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 14 1 2 -1.</_>
-        <_>
-          14 14 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 14 2 1 -1.</_>
-        <_>
-          8 14 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 13 3 3 -1.</_>
-        <_>
-          14 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 4 8 -1.</_>
-        <_>
-          8 7 4 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 13 3 3 -1.</_>
-        <_>
-          14 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 13 3 3 -1.</_>
-        <_>
-          7 14 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 2 2 -1.</_>
-        <_>
-          18 3 1 1 2.</_>
-        <_>
-          17 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 9 3 -1.</_>
-        <_>
-          5 11 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 4 4 -1.</_>
-        <_>
-          10 5 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 1 3 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 6 2 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_>
-        <_>
-          12 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 16 20 -1.</_>
-        <_>
-          7 0 8 20 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 9 3 -1.</_>
-        <_>
-          8 7 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 3 -1.</_>
-        <_>
-          13 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 2 2 -1.</_>
-        <_>
-          5 3 1 1 2.</_>
-        <_>
-          6 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 2 -1.</_>
-        <_>
-          15 2 1 1 2.</_>
-        <_>
-          14 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 4 4 -1.</_>
-        <_>
-          7 3 2 2 2.</_>
-        <_>
-          9 5 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 2 2 -1.</_>
-        <_>
-          18 3 1 1 2.</_>
-        <_>
-          17 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 3 4 -1.</_>
-        <_>
-          8 5 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 3 2 2 -1.</_>
-        <_>
-          18 3 1 1 2.</_>
-        <_>
-          17 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 3 2 2 -1.</_>
-        <_>
-          3 3 1 1 2.</_>
-        <_>
-          4 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 2 2 2 -1.</_>
-        <_>
-          15 2 1 1 2.</_>
-        <_>
-          14 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 2 2 -1.</_>
-        <_>
-          6 2 1 1 2.</_>
-        <_>
-          7 3 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 0 7 3 -1.</_>
-        <_>
-          13 1 7 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 7 -1.</_>
-        <_>
-          9 1 1 7 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 3 -1.</_>
-        <_>
-          13 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 7 6 9 -1.</_>
-        <_>
-          2 10 6 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 12 -1.</_>
-        <_>
-          13 1 1 6 2.</_>
-        <_>
-          12 7 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 12 -1.</_>
-        <_>
-          8 1 1 6 2.</_>
-        <_>
-          9 7 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 14 3 1 -1.</_>
-        <_>
-          14 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 3 2 -1.</_>
-        <_>
-          3 9 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 14 3 1 -1.</_>
-        <_>
-          14 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 2 1 -1.</_>
-        <_>
-          6 9 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 2 3 1 -1.</_>
-        <_>
-          19 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          6 11 3 1 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 9 3 1 -1.</_>
-        <_>
-          15 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 9 3 1 -1.</_>
-        <_>
-          6 9 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 1 3 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 1 3 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 1 2 -1.</_>
-        <_>
-          13 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 21 6 -1.</_>
-        <_>
-          7 7 7 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 6 1 -1.</_>
-        <_>
-          11 4 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 3 -1.</_>
-        <_>
-          8 9 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 2 -1.</_>
-        <_>
-          11 9 2 1 2.</_>
-        <_>
-          9 10 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 8 2 -1.</_>
-        <_>
-          5 5 4 1 2.</_>
-        <_>
-          9 6 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 3 -1.</_>
-        <_>
-          11 6 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 6 4 -1.</_>
-        <_>
-          8 7 3 2 2.</_>
-        <_>
-          11 9 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 6 -1.</_>
-        <_>
-          11 5 1 3 2.</_>
-        <_>
-          10 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 1 2 -1.</_>
-        <_>
-          8 6 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 2 3 -1.</_>
-        <_>
-          13 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 2 1 3 -1.</_>
-        <_>
-          3 3 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 11 7 3 -1.</_>
-        <_>
-          8 12 7 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 4 2 -1.</_>
-        <_>
-          2 1 2 1 2.</_>
-        <_>
-          4 2 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 5 3 1 -1.</_>
-        <_>
-          15 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 2 -1.</_>
-        <_>
-          3 0 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 3 3 2 -1.</_>
-        <_>
-          19 3 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 3 2 -1.</_>
-        <_>
-          2 3 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 8 8 -1.</_>
-        <_>
-          14 12 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 22 2 -1.</_>
-        <_>
-          0 18 11 1 2.</_>
-        <_>
-          11 19 11 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 10 2 1 -1.</_>
-        <_>
-          15 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 5 3 1 -1.</_>
-        <_>
-          6 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 5 21 12 -1.</_>
-        <_>
-          8 9 7 4 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 2 1 -1.</_>
-        <_>
-          6 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 3 2 3 -1.</_>
-        <_>
-          13 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 2 3 -1.</_>
-        <_>
-          7 4 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 8 3 1 -1.</_>
-        <_>
-          14 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 1 5 4 -1.</_>
-        <_>
-          7 2 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 4 -1.</_>
-        <_>
-          10 2 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 3 -1.</_>
-        <_>
-          9 3 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 6 3 -1.</_>
-        <_>
-          10 3 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 16 4 -1.</_>
-        <_>
-          0 0 8 2 2.</_>
-        <_>
-          8 2 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 6 2 -1.</_>
-        <_>
-          11 3 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 1 2 -1.</_>
-        <_>
-          7 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 6 -1.</_>
-        <_>
-          14 2 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 2 4 -1.</_>
-        <_>
-          6 0 1 2 2.</_>
-        <_>
-          7 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 1 3 -1.</_>
-        <_>
-          13 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 2 2 2 -1.</_>
-        <_>
-          2 3 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 4 8 -1.</_>
-        <_>
-          11 2 2 4 2.</_>
-        <_>
-          9 6 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 1 3 -1.</_>
-        <_>
-          8 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 7 4 -1.</_>
-        <_>
-          12 10 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 9 4 7 -1.</_>
-        <_>
-          10 10 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 10 3 6 -1.</_>
-        <_>
-          9 12 3 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 8 2 12 -1.</_>
-        <_>
-          8 11 2 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 14 1 4 -1.</_>
-        <_>
-          11 14 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          7 18 2 1 -1.</_>
-        <_>
-          8 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 2 1 -1.</_>
-        <_>
-          9 3 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 0 2 4 -1.</_>
-        <_>
-          14 0 1 2 2.</_>
-        <_>
-          13 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 2 -1.</_>
-        <_>
-          9 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 1 2 -1.</_>
-        <_>
-          12 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 2 9 12 -1.</_>
-        <_>
-          5 8 9 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 2 8 -1.</_>
-        <_>
-          10 8 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 4 3 -1.</_>
-        <_>
-          8 1 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 3 4 4 -1.</_>
-        <_>
-          15 3 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 2 -1.</_>
-        <_>
-          11 0 5 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 2 -1.</_>
-        <_>
-          11 7 2 1 2.</_>
-        <_>
-          9 8 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 4 8 1 -1.</_>
-        <_>
-          8 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 1 2 -1.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 3 3 6 -1.</_>
-        <_>
-          8 3 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 4 1 -1.</_>
-        <_>
-          10 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 4 1 -1.</_>
-        <_>
-          10 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 4 1 -1.</_>
-        <_>
-          10 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 2 2 -1.</_>
-        <_>
-          4 6 1 1 2.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 2 -1.</_>
-        <_>
-          8 7 1 1 2.</_>
-        <_>
-          9 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 6 2 2 -1.</_>
-        <_>
-          17 6 1 1 2.</_>
-        <_>
-          16 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 6 2 2 -1.</_>
-        <_>
-          4 6 1 1 2.</_>
-        <_>
-          5 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 7 3 3 -1.</_>
-        <_>
-          14 8 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 3 3 -1.</_>
-        <_>
-          7 8 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 6 -1.</_>
-        <_>
-          11 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 4 -1.</_>
-        <_>
-          9 6 2 2 2.</_>
-        <_>
-          11 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 3 -1.</_>
-        <_>
-          12 1 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 1 5 4 -1.</_>
-        <_>
-          7 2 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 10 -1.</_>
-        <_>
-          9 6 2 10 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 3 3 4 -1.</_>
-        <_>
-          10 3 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 7 1 3 -1.</_>
-        <_>
-          12 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 1 3 -1.</_>
-        <_>
-          9 8 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 8 2 2 -1.</_>
-        <_>
-          11 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 6 -1.</_>
-        <_>
-          9 6 2 3 2.</_>
-        <_>
-          11 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 2 -1.</_>
-        <_>
-          12 7 1 1 2.</_>
-        <_>
-          11 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 2 2 -1.</_>
-        <_>
-          9 7 1 1 2.</_>
-        <_>
-          10 8 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 4 -1.</_>
-        <_>
-          11 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 4 1 -1.</_>
-        <_>
-          11 6 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 4 7 -1.</_>
-        <_>
-          13 2 2 7 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 7 4 -1.</_>
-        <_>
-          9 2 7 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 2 4 -1.</_>
-        <_>
-          10 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 1 -1.</_>
-        <_>
-          12 1 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 2 -1.</_>
-        <_>
-          12 5 3 1 2.</_>
-        <_>
-          9 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 2 -1.</_>
-        <_>
-          8 4 3 1 2.</_>
-        <_>
-          11 5 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 6 2 -1.</_>
-        <_>
-          12 5 3 1 2.</_>
-        <_>
-          9 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 6 2 -1.</_>
-        <_>
-          7 5 3 1 2.</_>
-        <_>
-          10 6 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 4 3 -1.</_>
-        <_>
-          11 5 4 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 4 3 4 -1.</_>
-        <_>
-          11 5 1 4 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 11 4 1 -1.</_>
-        <_>
-          11 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 3 16 12 -1.</_>
-        <_>
-          2 6 16 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 7 6 -1.</_>
-        <_>
-          12 13 7 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 1 2 -1.</_>
-        <_>
-          5 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          20 4 2 2 -1.</_>
-        <_>
-          20 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 3 8 2 -1.</_>
-        <_>
-          0 3 4 1 2.</_>
-        <_>
-          4 4 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 11 1 6 -1.</_>
-        <_>
-          11 11 1 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 13 6 7 -1.</_>
-        <_>
-          3 13 3 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 14 6 6 -1.</_>
-        <_>
-          16 14 3 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 1 4 -1.</_>
-        <_>
-          10 11 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 2 -1.</_>
-        <_>
-          10 11 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 4 2 2 -1.</_>
-        <_>
-          1 4 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 5 4 3 -1.</_>
-        <_>
-          18 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 4 5 -1.</_>
-        <_>
-          2 14 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 9 2 8 -1.</_>
-        <_>
-          17 13 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 16 3 4 -1.</_>
-        <_>
-          4 18 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 18 10 2 -1.</_>
-        <_>
-          11 18 5 1 2.</_>
-        <_>
-          6 19 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 5 4 3 -1.</_>
-        <_>
-          2 5 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 14 4 5 -1.</_>
-        <_>
-          18 14 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 14 4 5 -1.</_>
-        <_>
-          2 14 2 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 18 2 2 -1.</_>
-        <_>
-          17 19 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 9 1 3 -1.</_>
-        <_>
-          10 10 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 17 2 3 -1.</_>
-        <_>
-          14 18 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 14 6 6 -1.</_>
-        <_>
-          0 14 3 3 2.</_>
-        <_>
-          3 17 3 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 18 1 2 -1.</_>
-        <_>
-          15 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 5 3 -1.</_>
-        <_>
-          8 7 5 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 3 -1.</_>
-        <_>
-          11 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 10 3 3 -1.</_>
-        <_>
-          4 11 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 12 22 4 -1.</_>
-        <_>
-          11 12 11 2 2.</_>
-        <_>
-          0 14 11 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 7 6 -1.</_>
-        <_>
-          7 9 7 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 15 2 2 -1.</_>
-        <_>
-          11 16 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 1 4 -1.</_>
-        <_>
-          8 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 3 1 -1.</_>
-        <_>
-          12 13 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 12 1 3 -1.</_>
-        <_>
-          10 13 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 10 5 6 -1.</_>
-        <_>
-          11 12 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 3 1 -1.</_>
-        <_>
-          9 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 14 14 3 -1.</_>
-        <_>
-          5 15 14 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 4 3 -1.</_>
-        <_>
-          6 15 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 1 3 -1.</_>
-        <_>
-          14 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 5 12 1 -1.</_>
-        <_>
-          5 5 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 1 2 4 -1.</_>
-        <_>
-          11 1 1 2 2.</_>
-        <_>
-          10 3 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 10 1 3 -1.</_>
-        <_>
-          7 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 7 10 6 -1.</_>
-        <_>
-          11 7 5 3 2.</_>
-        <_>
-          6 10 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 6 -1.</_>
-        <_>
-          10 1 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 3 1 3 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 4 5 4 -1.</_>
-        <_>
-          8 5 5 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 10 9 -1.</_>
-        <_>
-          8 5 10 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 0 3 4 -1.</_>
-        <_>
-          8 0 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 9 3 -1.</_>
-        <_>
-          7 10 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          9 7 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 1 6 -1.</_>
-        <_>
-          11 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 3 3 -1.</_>
-        <_>
-          12 8 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 4 10 -1.</_>
-        <_>
-          13 7 2 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 10 4 -1.</_>
-        <_>
-          9 7 10 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 3 -1.</_>
-        <_>
-          13 6 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 7 3 3 -1.</_>
-        <_>
-          2 8 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 3 3 -1.</_>
-        <_>
-          18 9 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 5 3 3 -1.</_>
-        <_>
-          6 6 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 1 -1.</_>
-        <_>
-          14 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 1 3 -1.</_>
-        <_>
-          8 7 1 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 6 3 -1.</_>
-        <_>
-          11 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 4 -1.</_>
-        <_>
-          11 6 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 1 9 -1.</_>
-        <_>
-          11 7 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 4 1 9 -1.</_>
-        <_>
-          10 7 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 4 -1.</_>
-        <_>
-          11 5 1 2 2.</_>
-        <_>
-          10 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 2 4 -1.</_>
-        <_>
-          3 0 1 2 2.</_>
-        <_>
-          4 2 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 1 2 2 -1.</_>
-        <_>
-          13 1 1 1 2.</_>
-        <_>
-          12 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 2 2 -1.</_>
-        <_>
-          8 1 1 1 2.</_>
-        <_>
-          9 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 18 20 -1.</_>
-        <_>
-          4 0 9 20 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 7 9 11 -1.</_>
-        <_>
-          7 7 3 11 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 14 8 1 -1.</_>
-        <_>
-          12 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 14 8 1 -1.</_>
-        <_>
-          6 14 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 13 3 4 -1.</_>
-        <_>
-          15 13 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 2 -1.</_>
-        <_>
-          0 6 1 1 2.</_>
-        <_>
-          1 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 13 3 4 -1.</_>
-        <_>
-          15 13 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 4 4 -1.</_>
-        <_>
-          10 0 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 4 4 -1.</_>
-        <_>
-          13 2 2 2 2.</_>
-        <_>
-          11 4 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 8 3 2 -1.</_>
-        <_>
-          9 8 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 2 1 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 7 1 2 -1.</_>
-        <_>
-          11 7 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 3 9 -1.</_>
-        <_>
-          13 8 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 4 3 -1.</_>
-        <_>
-          10 9 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 10 1 2 -1.</_>
-        <_>
-          12 10 1 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 11 4 4 -1.</_>
-        <_>
-          9 12 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 18 20 -1.</_>
-        <_>
-          4 0 9 20 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 18 20 -1.</_>
-        <_>
-          9 0 9 20 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 8 2 -1.</_>
-        <_>
-          7 7 4 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 6 4 3 -1.</_>
-        <_>
-          11 6 2 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 11 9 -1.</_>
-        <_>
-          10 14 11 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 6 8 -1.</_>
-        <_>
-          9 5 2 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 6 1 -1.</_>
-        <_>
-          11 7 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 3 8 2 -1.</_>
-        <_>
-          6 3 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 8 -1.</_>
-        <_>
-          11 0 3 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 0 3 3 -1.</_>
-        <_>
-          9 1 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          17 8 3 3 -1.</_>
-        <_>
-          18 9 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 12 3 -1.</_>
-        <_>
-          9 3 12 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 2 -1.</_>
-        <_>
-          10 7 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 5 3 6 -1.</_>
-        <_>
-          8 7 1 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 3 9 -1.</_>
-        <_>
-          13 6 1 3 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 3 3 -1.</_>
-        <_>
-          8 6 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 4 3 2 -1.</_>
-        <_>
-          12 5 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 4 2 3 -1.</_>
-        <_>
-          10 5 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 0 3 7 -1.</_>
-        <_>
-          12 0 1 7 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 3 3 -1.</_>
-        <_>
-          11 3 1 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 1 1 2 -1.</_>
-        <_>
-          18 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 1 2 -1.</_>
-        <_>
-          3 2 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 2 1 6 -1.</_>
-        <_>
-          13 5 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 5 8 -1.</_>
-        <_>
-          8 16 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 15 2 2 -1.</_>
-        <_>
-          11 16 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 2 10 18 -1.</_>
-        <_>
-          6 11 10 9 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 8 1 12 -1.</_>
-        <_>
-          16 12 1 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 13 4 -1.</_>
-        <_>
-          8 3 13 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 2 1 8 -1.</_>
-        <_>
-          13 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 1 8 -1.</_>
-        <_>
-          8 4 1 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 3 2 4 -1.</_>
-        <_>
-          12 3 2 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 2 4 4 -1.</_>
-        <_>
-          11 2 2 4 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          19 15 3 2 -1.</_>
-        <_>
-          20 16 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 15 2 3 -1.</_>
-        <_>
-          2 16 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          18 19 3 1 -1.</_>
-        <_>
-          19 19 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 19 3 1 -1.</_>
-        <_>
-          2 19 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 5 -1.</_>
-        <_>
-          11 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 5 1 3 -1.</_>
-        <_>
-          8 6 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 6 2 -1.</_>
-        <_>
-          9 8 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 6 1 -1.</_>
-        <_>
-          13 8 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 12 -1.</_>
-        <_>
-          14 3 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 3 2 -1.</_>
-        <_>
-          9 7 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 3 2 12 -1.</_>
-        <_>
-          14 3 2 6 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 3 12 2 -1.</_>
-        <_>
-          8 3 6 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 11 11 9 -1.</_>
-        <_>
-          11 14 11 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 11 11 9 -1.</_>
-        <_>
-          0 14 11 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 7 2 9 -1.</_>
-        <_>
-          15 10 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 7 2 9 -1.</_>
-        <_>
-          5 10 2 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 10 4 3 -1.</_>
-        <_>
-          14 11 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 10 4 3 -1.</_>
-        <_>
-          4 11 4 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 3 3 -1.</_>
-        <_>
-          18 9 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 8 3 3 -1.</_>
-        <_>
-          3 9 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 18 1 2 -1.</_>
-        <_>
-          15 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 6 2 2 -1.</_>
-        <_>
-          0 6 1 1 2.</_>
-        <_>
-          1 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 16 2 2 -1.</_>
-        <_>
-          14 16 1 1 2.</_>
-        <_>
-          13 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 18 1 2 -1.</_>
-        <_>
-          6 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 18 6 1 -1.</_>
-        <_>
-          16 18 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 18 6 1 -1.</_>
-        <_>
-          3 18 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 17 3 3 -1.</_>
-        <_>
-          18 18 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 17 3 3 -1.</_>
-        <_>
-          3 18 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 16 2 2 -1.</_>
-        <_>
-          14 16 1 1 2.</_>
-        <_>
-          13 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 16 2 2 -1.</_>
-        <_>
-          7 16 1 1 2.</_>
-        <_>
-          8 17 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 8 4 2 -1.</_>
-        <_>
-          11 8 2 1 2.</_>
-        <_>
-          9 9 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 4 6 -1.</_>
-        <_>
-          10 0 4 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 18 2 2 -1.</_>
-        <_>
-          11 18 1 1 2.</_>
-        <_>
-          10 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 6 2 4 -1.</_>
-        <_>
-          10 7 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 7 5 6 -1.</_>
-        <_>
-          9 9 5 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 10 2 3 -1.</_>
-        <_>
-          10 11 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 6 6 -1.</_>
-        <_>
-          10 11 2 2 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 6 2 -1.</_>
-        <_>
-          10 10 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 5 2 5 -1.</_>
-        <_>
-          11 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 10 1 6 -1.</_>
-        <_>
-          8 12 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 11 2 3 -1.</_>
-        <_>
-          10 12 2 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 2 2 -1.</_>
-        <_>
-          8 13 1 1 2.</_>
-        <_>
-          9 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 1 2 10 -1.</_>
-        <_>
-          15 1 1 10 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          4 9 10 2 -1.</_>
-        <_>
-          4 9 5 1 2.</_>
-        <_>
-          9 10 5 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 18 1 2 -1.</_>
-        <_>
-          11 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 18 1 2 -1.</_>
-        <_>
-          10 19 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 10 4 8 -1.</_>
-        <_>
-          18 10 2 4 2.</_>
-        <_>
-          16 14 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 10 4 8 -1.</_>
-        <_>
-          2 10 2 4 2.</_>
-        <_>
-          4 14 2 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 8 2 6 -1.</_>
-        <_>
-          17 8 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 8 2 6 -1.</_>
-        <_>
-          4 8 1 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 6 3 14 -1.</_>
-        <_>
-          19 6 1 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 6 3 14 -1.</_>
-        <_>
-          2 6 1 14 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 17 2 2 -1.</_>
-        <_>
-          17 17 1 1 2.</_>
-        <_>
-          16 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 17 2 2 -1.</_>
-        <_>
-          4 17 1 1 2.</_>
-        <_>
-          5 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 17 1 2 -1.</_>
-        <_>
-          17 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 17 1 2 -1.</_>
-        <_>
-          4 18 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 2 1 4 -1.</_>
-        <_>
-          11 3 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 2 4 1 -1.</_>
-        <_>
-          11 3 2 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 5 6 -1.</_>
-        <_>
-          1 3 5 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          16 3 1 2 -1.</_>
-        <_>
-          16 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 16 3 -1.</_>
-        <_>
-          5 1 16 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 0 2 20 -1.</_>
-        <_>
-          12 0 1 20 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 7 6 2 -1.</_>
-        <_>
-          7 8 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 1 9 -1.</_>
-        <_>
-          18 4 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 0 2 20 -1.</_>
-        <_>
-          9 0 1 20 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 2 3 -1.</_>
-        <_>
-          18 1 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 2 3 -1.</_>
-        <_>
-          3 1 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          18 1 3 2 -1.</_>
-        <_>
-          19 1 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 3 1 2 -1.</_>
-        <_>
-          5 4 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 3 20 1 -1.</_>
-        <_>
-          6 3 10 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 0 5 3 -1.</_>
-        <_>
-          10 1 5 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 6 3 4 -1.</_>
-        <_>
-          12 7 3 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 4 8 1 -1.</_>
-        <_>
-          11 6 4 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 6 1 4 -1.</_>
-        <_>
-          12 7 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 6 -1.</_>
-        <_>
-          8 9 2 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          14 11 4 6 -1.</_>
-        <_>
-          14 13 4 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 8 9 3 -1.</_>
-        <_>
-          6 9 9 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 9 9 2 -1.</_>
-        <_>
-          8 10 9 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 13 6 2 -1.</_>
-        <_>
-          2 13 3 1 2.</_>
-        <_>
-          5 14 3 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 3 6 -1.</_>
-        <_>
-          13 1 1 6 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 10 8 8 -1.</_>
-        <_>
-          0 12 8 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 12 10 4 -1.</_>
-        <_>
-          11 12 5 4 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 0 6 3 -1.</_>
-        <_>
-          9 1 6 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 1 3 8 -1.</_>
-        <_>
-          13 2 1 8 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 1 8 3 -1.</_>
-        <_>
-          9 2 8 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          13 9 2 2 -1.</_>
-        <_>
-          14 9 1 1 2.</_>
-        <_>
-          13 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 7 2 4 -1.</_>
-        <_>
-          8 7 1 2 2.</_>
-        <_>
-          9 9 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 0 14 12 -1.</_>
-        <_>
-          4 3 14 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 16 12 -1.</_>
-        <_>
-          1 3 16 6 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 0 8 6 -1.</_>
-        <_>
-          12 3 8 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 1 3 -1.</_>
-        <_>
-          8 15 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 9 2 2 -1.</_>
-        <_>
-          14 9 1 1 2.</_>
-        <_>
-          13 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 6 2 2 -1.</_>
-        <_>
-          8 6 1 1 2.</_>
-        <_>
-          9 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 4 4 4 -1.</_>
-        <_>
-          11 5 4 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 4 6 4 -1.</_>
-        <_>
-          8 4 3 2 2.</_>
-        <_>
-          11 6 3 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 6 2 4 -1.</_>
-        <_>
-          13 8 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 9 2 2 -1.</_>
-        <_>
-          7 9 1 1 2.</_>
-        <_>
-          8 10 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 5 2 2 -1.</_>
-        <_>
-          12 5 1 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          0 4 20 7 -1.</_>
-        <_>
-          10 4 10 7 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 15 3 2 -1.</_>
-        <_>
-          10 15 3 1 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          5 16 17 4 -1.</_>
-        <_>
-          5 18 17 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 1 9 1 -1.</_>
-        <_>
-          7 4 3 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 5 1 6 -1.</_>
-        <_>
-          10 7 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          10 5 6 1 -1.</_>
-        <_>
-          12 7 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 0 12 2 -1.</_>
-        <_>
-          9 0 6 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          7 17 3 3 -1.</_>
-        <_>
-          8 18 1 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          1 0 20 2 -1.</_>
-        <_>
-          1 0 10 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 15 3 -1.</_>
-        <_>
-          5 1 5 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 1 12 1 -1.</_>
-        <_>
-          11 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          2 1 12 1 -1.</_>
-        <_>
-          5 1 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 5 3 1 -1.</_>
-        <_>
-          14 5 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 15 3 2 -1.</_>
-        <_>
-          10 16 1 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          12 6 3 13 -1.</_>
-        <_>
-          13 6 1 13 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 4 3 -1.</_>
-        <_>
-          10 6 2 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          8 2 9 9 -1.</_>
-        <_>
-          11 2 3 9 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 2 5 4 -1.</_>
-        <_>
-          11 2 5 2 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 6 6 6 -1.</_>
-        <_>
-          13 8 6 2 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          11 2 6 3 -1.</_>
-        <_>
-          13 4 2 3 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          9 6 6 3 -1.</_>
-        <_>
-          11 7 2 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 5 2 4 -1.</_>
-        <_>
-          10 5 1 2 2.</_>
-        <_>
-          11 7 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 2 -1.</_>
-        <_>
-          12 6 1 1 2.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 4 9 3 -1.</_>
-        <_>
-          9 5 3 1 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 3 1 3 -1.</_>
-        <_>
-          11 4 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 2 3 6 -1.</_>
-        <_>
-          9 4 3 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 6 2 2 -1.</_>
-        <_>
-          12 6 1 1 2.</_>
-        <_>
-          11 7 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 0 2 2 -1.</_>
-        <_>
-          5 0 1 1 2.</_>
-        <_>
-          6 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 3 -1.</_>
-        <_>
-          14 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          1 6 16 2 -1.</_>
-        <_>
-          9 6 8 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 0 8 2 -1.</_>
-        <_>
-          13 0 4 1 2.</_>
-        <_>
-          9 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 14 1 3 -1.</_>
-        <_>
-          8 15 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 14 3 1 -1.</_>
-        <_>
-          14 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 15 3 5 -1.</_>
-        <_>
-          4 15 1 5 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 2 -1.</_>
-        <_>
-          16 0 1 1 2.</_>
-        <_>
-          15 1 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 7 12 1 -1.</_>
-        <_>
-          9 7 6 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 14 3 1 -1.</_>
-        <_>
-          14 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 3 2 -1.</_>
-        <_>
-          10 5 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 3 3 -1.</_>
-        <_>
-          11 7 1 3 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 5 2 5 -1.</_>
-        <_>
-          10 5 1 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 2 6 15 -1.</_>
-        <_>
-          12 7 2 5 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 2 3 15 -1.</_>
-        <_>
-          9 7 1 5 9.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 7 10 10 -1.</_>
-        <_>
-          16 7 5 5 2.</_>
-        <_>
-          11 12 5 5 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 14 3 6 -1.</_>
-        <_>
-          4 14 1 6 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 4 4 4 -1.</_>
-        <_>
-          11 4 2 2 2.</_>
-        <_>
-          9 6 2 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 0 21 2 -1.</_>
-        <_>
-          7 0 7 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          11 1 8 1 -1.</_>
-        <_>
-          11 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 1 8 1 -1.</_>
-        <_>
-          7 1 4 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 3 3 3 -1.</_>
-        <_>
-          15 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          9 12 3 3 -1.</_>
-        <_>
-          9 13 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          12 12 2 2 -1.</_>
-        <_>
-          12 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 12 2 2 -1.</_>
-        <_>
-          8 13 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 7 8 12 -1.</_>
-        <_>
-          10 11 8 4 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          8 13 1 2 -1.</_>
-        <_>
-          8 14 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 13 4 2 -1.</_>
-        <_>
-          12 13 2 1 2.</_>
-        <_>
-          10 14 2 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 14 3 1 -1.</_>
-        <_>
-          7 14 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 15 2 4 -1.</_>
-        <_>
-          16 15 1 2 2.</_>
-        <_>
-          15 17 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          4 3 3 3 -1.</_>
-        <_>
-          4 4 3 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 0 2 3 -1.</_>
-        <_>
-          14 1 2 1 3.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          3 12 2 2 -1.</_>
-        <_>
-          3 12 1 1 2.</_>
-        <_>
-          4 13 1 1 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 1 3 -1.</_>
-        <_>
-          17 11 1 1 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 1 3 2 -1.</_>
-        <_>
-          6 1 1 2 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          13 0 3 18 -1.</_>
-        <_>
-          14 0 1 18 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          6 0 3 18 -1.</_>
-        <_>
-          7 0 1 18 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          15 15 2 4 -1.</_>
-        <_>
-          16 15 1 2 2.</_>
-        <_>
-          15 17 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          0 12 12 8 -1.</_>
-        <_>
-          4 12 4 8 3.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          10 8 2 3 -1.</_>
-        <_>
-          10 8 1 3 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          3 0 10 3 -1.</_>
-        <_>
-          3 0 5 3 2.</_></rects>
-      <tilted>1</tilted></_>
-    <_>
-      <rects>
-        <_>
-          15 15 2 4 -1.</_>
-        <_>
-          16 15 1 2 2.</_>
-        <_>
-          15 17 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          5 15 2 4 -1.</_>
-        <_>
-          5 15 1 2 2.</_>
-        <_>
-          6 17 1 2 2.</_></rects></_>
-    <_>
-      <rects>
-        <_>
-          17 10 1 3 -1.</_>
-        <_>
-          17 11 1 1 3.</_></rects></_></features></cascade>
-</opencv_storage>

From e2f24f43c982365e1483ad3b3e73c0f5b5bb3b7e Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Sun, 10 Aug 2014 01:54:16 +0400
Subject: [PATCH 75/92] added some basic functionality needed by the new face
 module (moved from the old "contrib")

---
 modules/core/include/opencv2/core.hpp         |   54 +
 modules/core/src/lda.cpp                      | 1119 +++++++++++++++++
 modules/core/src/matmul.cpp                   |    1 -
 modules/imgproc/doc/colormaps.rst             |  107 ++
 modules/imgproc/doc/imgproc.rst               |    1 +
 .../doc/pics/colormaps/colorscale_autumn.jpg  |  Bin 0 -> 1352 bytes
 .../doc/pics/colormaps/colorscale_bone.jpg    |  Bin 0 -> 1325 bytes
 .../doc/pics/colormaps/colorscale_cool.jpg    |  Bin 0 -> 1325 bytes
 .../doc/pics/colormaps/colorscale_hot.jpg     |  Bin 0 -> 1403 bytes
 .../doc/pics/colormaps/colorscale_hsv.jpg     |  Bin 0 -> 1690 bytes
 .../doc/pics/colormaps/colorscale_jet.jpg     |  Bin 0 -> 1579 bytes
 .../doc/pics/colormaps/colorscale_mkpj1.jpg   |  Bin 0 -> 1569 bytes
 .../doc/pics/colormaps/colorscale_mkpj2.jpg   |  Bin 0 -> 1517 bytes
 .../doc/pics/colormaps/colorscale_ocean.jpg   |  Bin 0 -> 1430 bytes
 .../doc/pics/colormaps/colorscale_pink.jpg    |  Bin 0 -> 1390 bytes
 .../doc/pics/colormaps/colorscale_rainbow.jpg |  Bin 0 -> 1524 bytes
 .../doc/pics/colormaps/colorscale_spring.jpg  |  Bin 0 -> 1254 bytes
 .../doc/pics/colormaps/colorscale_summer.jpg  |  Bin 0 -> 1345 bytes
 .../doc/pics/colormaps/colorscale_winter.jpg  |  Bin 0 -> 1238 bytes
 modules/imgproc/include/opencv2/imgproc.hpp   |   18 +
 modules/imgproc/src/colormap.cpp              |  530 ++++++++
 modules/python/common.cmake                   |    2 +-
 22 files changed, 1830 insertions(+), 2 deletions(-)
 create mode 100644 modules/core/src/lda.cpp
 create mode 100644 modules/imgproc/doc/colormaps.rst
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_autumn.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_bone.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_cool.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_hot.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_hsv.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_jet.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_mkpj1.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_mkpj2.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_ocean.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_pink.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_rainbow.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_spring.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_summer.jpg
 create mode 100644 modules/imgproc/doc/pics/colormaps/colorscale_winter.jpg
 create mode 100644 modules/imgproc/src/colormap.cpp

diff --git a/modules/core/include/opencv2/core.hpp b/modules/core/include/opencv2/core.hpp
index b5249c9f50..773ee82d64 100644
--- a/modules/core/include/opencv2/core.hpp
+++ b/modules/core/include/opencv2/core.hpp
@@ -690,7 +690,61 @@ public:
     Mat mean; //!< mean value subtracted before the projection and added after the back projection
 };
 
+// Linear Discriminant Analysis
+class CV_EXPORTS LDA
+{
+public:
+    // Initializes a LDA with num_components (default 0) and specifies how
+    // samples are aligned (default dataAsRow=true).
+    explicit LDA(int num_components = 0);
+
+    // Initializes and performs a Discriminant Analysis with Fisher's
+    // Optimization Criterion on given data in src and corresponding labels
+    // in labels. If 0 (or less) number of components are given, they are
+    // automatically determined for given data in computation.
+    LDA(InputArrayOfArrays src, InputArray labels, int num_components = 0);
+
+    // Serializes this object to a given filename.
+    void save(const String& filename) const;
+
+    // Deserializes this object from a given filename.
+    void load(const String& filename);
+
+    // Serializes this object to a given cv::FileStorage.
+    void save(FileStorage& fs) const;
+
+        // Deserializes this object from a given cv::FileStorage.
+    void load(const FileStorage& node);
+
+    // Destructor.
+    ~LDA();
+
+    //! Compute the discriminants for data in src and labels.
+    void compute(InputArrayOfArrays src, InputArray labels);
 
+    // Projects samples into the LDA subspace.
+    Mat project(InputArray src);
+
+    // Reconstructs projections from the LDA subspace.
+    Mat reconstruct(InputArray src);
+
+    // Returns the eigenvectors of this LDA.
+    Mat eigenvectors() const { return _eigenvectors; }
+
+    // Returns the eigenvalues of this LDA.
+    Mat eigenvalues() const { return _eigenvalues; }
+
+    static Mat subspaceProject(InputArray W, InputArray mean, InputArray src);
+    static Mat subspaceReconstruct(InputArray W, InputArray mean, InputArray src);
+
+protected:
+    bool _dataAsRow;
+    int _num_components;
+    Mat _eigenvectors;
+    Mat _eigenvalues;
+
+    void lda(InputArrayOfArrays src, InputArray labels);
+};
 
 /*!
     Singular Value Decomposition class
diff --git a/modules/core/src/lda.cpp b/modules/core/src/lda.cpp
new file mode 100644
index 0000000000..5e20b5e6a1
--- /dev/null
+++ b/modules/core/src/lda.cpp
@@ -0,0 +1,1119 @@
+/*
+ * Copyright (c) 2011. Philipp Wagner <bytefish[at]gmx[dot]de>.
+ * Released to public domain under terms of the BSD Simplified license.
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *   * Redistributions of source code must retain the above copyright
+ *     notice, this list of conditions and the following disclaimer.
+ *   * Redistributions in binary form must reproduce the above copyright
+ *     notice, this list of conditions and the following disclaimer in the
+ *     documentation and/or other materials provided with the distribution.
+ *   * Neither the name of the organization nor the names of its contributors
+ *     may be used to endorse or promote products derived from this software
+ *     without specific prior written permission.
+ *
+ *   See <http://www.opensource.org/licenses/bsd-license>
+ */
+
+#include "precomp.hpp"
+#include <iostream>
+#include <map>
+#include <set>
+
+namespace cv
+{
+
+// Removes duplicate elements in a given vector.
+template<typename _Tp>
+inline std::vector<_Tp> remove_dups(const std::vector<_Tp>& src) {
+    typedef typename std::set<_Tp>::const_iterator constSetIterator;
+    typedef typename std::vector<_Tp>::const_iterator constVecIterator;
+    std::set<_Tp> set_elems;
+    for (constVecIterator it = src.begin(); it != src.end(); ++it)
+        set_elems.insert(*it);
+    std::vector<_Tp> elems;
+    for (constSetIterator it = set_elems.begin(); it != set_elems.end(); ++it)
+        elems.push_back(*it);
+    return elems;
+}
+
+static Mat argsort(InputArray _src, bool ascending=true)
+{
+    Mat src = _src.getMat();
+    if (src.rows != 1 && src.cols != 1) {
+        String error_message = "Wrong shape of input matrix! Expected a matrix with one row or column.";
+        CV_Error(Error::StsBadArg, error_message);
+    }
+    int flags = SORT_EVERY_ROW | (ascending ? SORT_ASCENDING : SORT_DESCENDING);
+    Mat sorted_indices;
+    sortIdx(src.reshape(1,1),sorted_indices,flags);
+    return sorted_indices;
+}
+
+static Mat asRowMatrix(InputArrayOfArrays src, int rtype, double alpha=1, double beta=0) {
+    // make sure the input data is a vector of matrices or vector of vector
+    if(src.kind() != _InputArray::STD_VECTOR_MAT && src.kind() != _InputArray::STD_VECTOR_VECTOR) {
+        String error_message = "The data is expected as InputArray::STD_VECTOR_MAT (a std::vector<Mat>) or _InputArray::STD_VECTOR_VECTOR (a std::vector< std::vector<...> >).";
+        CV_Error(Error::StsBadArg, error_message);
+    }
+    // number of samples
+    size_t n = src.total();
+    // return empty matrix if no matrices given
+    if(n == 0)
+        return Mat();
+    // dimensionality of (reshaped) samples
+    size_t d = src.getMat(0).total();
+    // create data matrix
+    Mat data((int)n, (int)d, rtype);
+    // now copy data
+    for(int i = 0; i < (int)n; i++) {
+        // make sure data can be reshaped, throw exception if not!
+        if(src.getMat(i).total() != d) {
+            String error_message = format("Wrong number of elements in matrix #%d! Expected %d was %d.", i, (int)d, (int)src.getMat(i).total());
+            CV_Error(Error::StsBadArg, error_message);
+        }
+        // get a hold of the current row
+        Mat xi = data.row(i);
+        // make reshape happy by cloning for non-continuous matrices
+        if(src.getMat(i).isContinuous()) {
+            src.getMat(i).reshape(1, 1).convertTo(xi, rtype, alpha, beta);
+        } else {
+            src.getMat(i).clone().reshape(1, 1).convertTo(xi, rtype, alpha, beta);
+        }
+    }
+    return data;
+}
+
+static void sortMatrixColumnsByIndices(InputArray _src, InputArray _indices, OutputArray _dst) {
+    if(_indices.getMat().type() != CV_32SC1) {
+        CV_Error(Error::StsUnsupportedFormat, "cv::sortColumnsByIndices only works on integer indices!");
+    }
+    Mat src = _src.getMat();
+    std::vector<int> indices = _indices.getMat();
+    _dst.create(src.rows, src.cols, src.type());
+    Mat dst = _dst.getMat();
+    for(size_t idx = 0; idx < indices.size(); idx++) {
+        Mat originalCol = src.col(indices[idx]);
+        Mat sortedCol = dst.col((int)idx);
+        originalCol.copyTo(sortedCol);
+    }
+}
+
+static Mat sortMatrixColumnsByIndices(InputArray src, InputArray indices) {
+    Mat dst;
+    sortMatrixColumnsByIndices(src, indices, dst);
+    return dst;
+}
+
+
+template<typename _Tp> static bool
+isSymmetric_(InputArray src) {
+    Mat _src = src.getMat();
+    if(_src.cols != _src.rows)
+        return false;
+    for (int i = 0; i < _src.rows; i++) {
+        for (int j = 0; j < _src.cols; j++) {
+            _Tp a = _src.at<_Tp> (i, j);
+            _Tp b = _src.at<_Tp> (j, i);
+            if (a != b) {
+                return false;
+            }
+        }
+    }
+    return true;
+}
+
+template<typename _Tp> static bool
+isSymmetric_(InputArray src, double eps) {
+    Mat _src = src.getMat();
+    if(_src.cols != _src.rows)
+        return false;
+    for (int i = 0; i < _src.rows; i++) {
+        for (int j = 0; j < _src.cols; j++) {
+            _Tp a = _src.at<_Tp> (i, j);
+            _Tp b = _src.at<_Tp> (j, i);
+            if (std::abs(a - b) > eps) {
+                return false;
+            }
+        }
+    }
+    return true;
+}
+
+static bool isSymmetric(InputArray src, double eps=1e-16)
+{
+    Mat m = src.getMat();
+    switch (m.type()) {
+        case CV_8SC1: return isSymmetric_<char>(m); break;
+        case CV_8UC1:
+            return isSymmetric_<unsigned char>(m); break;
+        case CV_16SC1:
+            return isSymmetric_<short>(m); break;
+        case CV_16UC1:
+            return isSymmetric_<unsigned short>(m); break;
+        case CV_32SC1:
+            return isSymmetric_<int>(m); break;
+        case CV_32FC1:
+            return isSymmetric_<float>(m, eps); break;
+        case CV_64FC1:
+            return isSymmetric_<double>(m, eps); break;
+        default:
+            break;
+    }
+    return false;
+}
+
+
+//------------------------------------------------------------------------------
+// cv::subspaceProject
+//------------------------------------------------------------------------------
+Mat LDA::subspaceProject(InputArray _W, InputArray _mean, InputArray _src) {
+    // get data matrices
+    Mat W = _W.getMat();
+    Mat mean = _mean.getMat();
+    Mat src = _src.getMat();
+    // get number of samples and dimension
+    int n = src.rows;
+    int d = src.cols;
+    // make sure the data has the correct shape
+    if(W.rows != d) {
+        String error_message = format("Wrong shapes for given matrices. Was size(src) = (%d,%d), size(W) = (%d,%d).", src.rows, src.cols, W.rows, W.cols);
+        CV_Error(Error::StsBadArg, error_message);
+    }
+    // make sure mean is correct if not empty
+    if(!mean.empty() && (mean.total() != (size_t) d)) {
+        String error_message = format("Wrong mean shape for the given data matrix. Expected %d, but was %d.", d, mean.total());
+        CV_Error(Error::StsBadArg, error_message);
+    }
+    // create temporary matrices
+    Mat X, Y;
+    // make sure you operate on correct type
+    src.convertTo(X, W.type());
+    // safe to do, because of above assertion
+    if(!mean.empty()) {
+        for(int i=0; i<n; i++) {
+            Mat r_i = X.row(i);
+            subtract(r_i, mean.reshape(1,1), r_i);
+        }
+    }
+    // finally calculate projection as Y = (X-mean)*W
+    gemm(X, W, 1.0, Mat(), 0.0, Y);
+    return Y;
+}
+
+//------------------------------------------------------------------------------
+// cv::subspaceReconstruct
+//------------------------------------------------------------------------------
+Mat LDA::subspaceReconstruct(InputArray _W, InputArray _mean, InputArray _src)
+{
+    // get data matrices
+    Mat W = _W.getMat();
+    Mat mean = _mean.getMat();
+    Mat src = _src.getMat();
+    // get number of samples and dimension
+    int n = src.rows;
+    int d = src.cols;
+    // make sure the data has the correct shape
+    if(W.cols != d) {
+        String error_message = format("Wrong shapes for given matrices. Was size(src) = (%d,%d), size(W) = (%d,%d).", src.rows, src.cols, W.rows, W.cols);
+        CV_Error(Error::StsBadArg, error_message);
+    }
+    // make sure mean is correct if not empty
+    if(!mean.empty() && (mean.total() != (size_t) W.rows)) {
+        String error_message = format("Wrong mean shape for the given eigenvector matrix. Expected %d, but was %d.", W.cols, mean.total());
+        CV_Error(Error::StsBadArg, error_message);
+    }
+    // initialize temporary matrices
+    Mat X, Y;
+    // copy data & make sure we are using the correct type
+    src.convertTo(Y, W.type());
+    // calculate the reconstruction
+    gemm(Y, W, 1.0, Mat(), 0.0, X, GEMM_2_T);
+    // safe to do because of above assertion
+    if(!mean.empty()) {
+        for(int i=0; i<n; i++) {
+            Mat r_i = X.row(i);
+            add(r_i, mean.reshape(1,1), r_i);
+        }
+    }
+    return X;
+}
+
+
+class EigenvalueDecomposition {
+private:
+
+    // Holds the data dimension.
+    int n;
+
+    // Stores real/imag part of a complex division.
+    double cdivr, cdivi;
+
+    // Pointer to internal memory.
+    double *d, *e, *ort;
+    double **V, **H;
+
+    // Holds the computed eigenvalues.
+    Mat _eigenvalues;
+
+    // Holds the computed eigenvectors.
+    Mat _eigenvectors;
+
+    // Allocates memory.
+    template<typename _Tp>
+    _Tp *alloc_1d(int m) {
+        return new _Tp[m];
+    }
+
+    // Allocates memory.
+    template<typename _Tp>
+    _Tp *alloc_1d(int m, _Tp val) {
+        _Tp *arr = alloc_1d<_Tp> (m);
+        for (int i = 0; i < m; i++)
+            arr[i] = val;
+        return arr;
+    }
+
+    // Allocates memory.
+    template<typename _Tp>
+    _Tp **alloc_2d(int m, int _n) {
+        _Tp **arr = new _Tp*[m];
+        for (int i = 0; i < m; i++)
+            arr[i] = new _Tp[_n];
+        return arr;
+    }
+
+    // Allocates memory.
+    template<typename _Tp>
+    _Tp **alloc_2d(int m, int _n, _Tp val) {
+        _Tp **arr = alloc_2d<_Tp> (m, _n);
+        for (int i = 0; i < m; i++) {
+            for (int j = 0; j < _n; j++) {
+                arr[i][j] = val;
+            }
+        }
+        return arr;
+    }
+
+    void cdiv(double xr, double xi, double yr, double yi) {
+        double r, dv;
+        if (std::abs(yr) > std::abs(yi)) {
+            r = yi / yr;
+            dv = yr + r * yi;
+            cdivr = (xr + r * xi) / dv;
+            cdivi = (xi - r * xr) / dv;
+        } else {
+            r = yr / yi;
+            dv = yi + r * yr;
+            cdivr = (r * xr + xi) / dv;
+            cdivi = (r * xi - xr) / dv;
+        }
+    }
+
+    // Nonsymmetric reduction from Hessenberg to real Schur form.
+
+    void hqr2() {
+
+        //  This is derived from the Algol procedure hqr2,
+        //  by Martin and Wilkinson, Handbook for Auto. Comp.,
+        //  Vol.ii-Linear Algebra, and the corresponding
+        //  Fortran subroutine in EISPACK.
+
+        // Initialize
+        int nn = this->n;
+        int n1 = nn - 1;
+        int low = 0;
+        int high = nn - 1;
+        double eps = std::pow(2.0, -52.0);
+        double exshift = 0.0;
+        double p = 0, q = 0, r = 0, s = 0, z = 0, t, w, x, y;
+
+        // Store roots isolated by balanc and compute matrix norm
+
+        double norm = 0.0;
+        for (int i = 0; i < nn; i++) {
+            if (i < low || i > high) {
+                d[i] = H[i][i];
+                e[i] = 0.0;
+            }
+            for (int j = std::max(i - 1, 0); j < nn; j++) {
+                norm = norm + std::abs(H[i][j]);
+            }
+        }
+
+        // Outer loop over eigenvalue index
+        int iter = 0;
+        while (n1 >= low) {
+
+            // Look for single small sub-diagonal element
+            int l = n1;
+            while (l > low) {
+                s = std::abs(H[l - 1][l - 1]) + std::abs(H[l][l]);
+                if (s == 0.0) {
+                    s = norm;
+                }
+                if (std::abs(H[l][l - 1]) < eps * s) {
+                    break;
+                }
+                l--;
+            }
+
+            // Check for convergence
+            // One root found
+
+            if (l == n1) {
+                H[n1][n1] = H[n1][n1] + exshift;
+                d[n1] = H[n1][n1];
+                e[n1] = 0.0;
+                n1--;
+                iter = 0;
+
+                // Two roots found
+
+            } else if (l == n1 - 1) {
+                w = H[n1][n1 - 1] * H[n1 - 1][n1];
+                p = (H[n1 - 1][n1 - 1] - H[n1][n1]) / 2.0;
+                q = p * p + w;
+                z = std::sqrt(std::abs(q));
+                H[n1][n1] = H[n1][n1] + exshift;
+                H[n1 - 1][n1 - 1] = H[n1 - 1][n1 - 1] + exshift;
+                x = H[n1][n1];
+
+                // Real pair
+
+                if (q >= 0) {
+                    if (p >= 0) {
+                        z = p + z;
+                    } else {
+                        z = p - z;
+                    }
+                    d[n1 - 1] = x + z;
+                    d[n1] = d[n1 - 1];
+                    if (z != 0.0) {
+                        d[n1] = x - w / z;
+                    }
+                    e[n1 - 1] = 0.0;
+                    e[n1] = 0.0;
+                    x = H[n1][n1 - 1];
+                    s = std::abs(x) + std::abs(z);
+                    p = x / s;
+                    q = z / s;
+                    r = std::sqrt(p * p + q * q);
+                    p = p / r;
+                    q = q / r;
+
+                    // Row modification
+
+                    for (int j = n1 - 1; j < nn; j++) {
+                        z = H[n1 - 1][j];
+                        H[n1 - 1][j] = q * z + p * H[n1][j];
+                        H[n1][j] = q * H[n1][j] - p * z;
+                    }
+
+                    // Column modification
+
+                    for (int i = 0; i <= n1; i++) {
+                        z = H[i][n1 - 1];
+                        H[i][n1 - 1] = q * z + p * H[i][n1];
+                        H[i][n1] = q * H[i][n1] - p * z;
+                    }
+
+                    // Accumulate transformations
+
+                    for (int i = low; i <= high; i++) {
+                        z = V[i][n1 - 1];
+                        V[i][n1 - 1] = q * z + p * V[i][n1];
+                        V[i][n1] = q * V[i][n1] - p * z;
+                    }
+
+                    // Complex pair
+
+                } else {
+                    d[n1 - 1] = x + p;
+                    d[n1] = x + p;
+                    e[n1 - 1] = z;
+                    e[n1] = -z;
+                }
+                n1 = n1 - 2;
+                iter = 0;
+
+                // No convergence yet
+
+            } else {
+
+                // Form shift
+
+                x = H[n1][n1];
+                y = 0.0;
+                w = 0.0;
+                if (l < n1) {
+                    y = H[n1 - 1][n1 - 1];
+                    w = H[n1][n1 - 1] * H[n1 - 1][n1];
+                }
+
+                // Wilkinson's original ad hoc shift
+
+                if (iter == 10) {
+                    exshift += x;
+                    for (int i = low; i <= n1; i++) {
+                        H[i][i] -= x;
+                    }
+                    s = std::abs(H[n1][n1 - 1]) + std::abs(H[n1 - 1][n1 - 2]);
+                    x = y = 0.75 * s;
+                    w = -0.4375 * s * s;
+                }
+
+                // MATLAB's new ad hoc shift
+
+                if (iter == 30) {
+                    s = (y - x) / 2.0;
+                    s = s * s + w;
+                    if (s > 0) {
+                        s = std::sqrt(s);
+                        if (y < x) {
+                            s = -s;
+                        }
+                        s = x - w / ((y - x) / 2.0 + s);
+                        for (int i = low; i <= n1; i++) {
+                            H[i][i] -= s;
+                        }
+                        exshift += s;
+                        x = y = w = 0.964;
+                    }
+                }
+
+                iter = iter + 1; // (Could check iteration count here.)
+
+                // Look for two consecutive small sub-diagonal elements
+                int m = n1 - 2;
+                while (m >= l) {
+                    z = H[m][m];
+                    r = x - z;
+                    s = y - z;
+                    p = (r * s - w) / H[m + 1][m] + H[m][m + 1];
+                    q = H[m + 1][m + 1] - z - r - s;
+                    r = H[m + 2][m + 1];
+                    s = std::abs(p) + std::abs(q) + std::abs(r);
+                    p = p / s;
+                    q = q / s;
+                    r = r / s;
+                    if (m == l) {
+                        break;
+                    }
+                    if (std::abs(H[m][m - 1]) * (std::abs(q) + std::abs(r)) < eps * (std::abs(p)
+                                                                                     * (std::abs(H[m - 1][m - 1]) + std::abs(z) + std::abs(
+                                                                                                                                           H[m + 1][m + 1])))) {
+                        break;
+                    }
+                    m--;
+                }
+
+                for (int i = m + 2; i <= n1; i++) {
+                    H[i][i - 2] = 0.0;
+                    if (i > m + 2) {
+                        H[i][i - 3] = 0.0;
+                    }
+                }
+
+                // Double QR step involving rows l:n and columns m:n
+
+                for (int k = m; k <= n1 - 1; k++) {
+                    bool notlast = (k != n1 - 1);
+                    if (k != m) {
+                        p = H[k][k - 1];
+                        q = H[k + 1][k - 1];
+                        r = (notlast ? H[k + 2][k - 1] : 0.0);
+                        x = std::abs(p) + std::abs(q) + std::abs(r);
+                        if (x != 0.0) {
+                            p = p / x;
+                            q = q / x;
+                            r = r / x;
+                        }
+                    }
+                    if (x == 0.0) {
+                        break;
+                    }
+                    s = std::sqrt(p * p + q * q + r * r);
+                    if (p < 0) {
+                        s = -s;
+                    }
+                    if (s != 0) {
+                        if (k != m) {
+                            H[k][k - 1] = -s * x;
+                        } else if (l != m) {
+                            H[k][k - 1] = -H[k][k - 1];
+                        }
+                        p = p + s;
+                        x = p / s;
+                        y = q / s;
+                        z = r / s;
+                        q = q / p;
+                        r = r / p;
+
+                        // Row modification
+
+                        for (int j = k; j < nn; j++) {
+                            p = H[k][j] + q * H[k + 1][j];
+                            if (notlast) {
+                                p = p + r * H[k + 2][j];
+                                H[k + 2][j] = H[k + 2][j] - p * z;
+                            }
+                            H[k][j] = H[k][j] - p * x;
+                            H[k + 1][j] = H[k + 1][j] - p * y;
+                        }
+
+                        // Column modification
+
+                        for (int i = 0; i <= std::min(n1, k + 3); i++) {
+                            p = x * H[i][k] + y * H[i][k + 1];
+                            if (notlast) {
+                                p = p + z * H[i][k + 2];
+                                H[i][k + 2] = H[i][k + 2] - p * r;
+                            }
+                            H[i][k] = H[i][k] - p;
+                            H[i][k + 1] = H[i][k + 1] - p * q;
+                        }
+
+                        // Accumulate transformations
+
+                        for (int i = low; i <= high; i++) {
+                            p = x * V[i][k] + y * V[i][k + 1];
+                            if (notlast) {
+                                p = p + z * V[i][k + 2];
+                                V[i][k + 2] = V[i][k + 2] - p * r;
+                            }
+                            V[i][k] = V[i][k] - p;
+                            V[i][k + 1] = V[i][k + 1] - p * q;
+                        }
+                    } // (s != 0)
+                } // k loop
+            } // check convergence
+        } // while (n1 >= low)
+
+        // Backsubstitute to find vectors of upper triangular form
+
+        if (norm == 0.0) {
+            return;
+        }
+
+        for (n1 = nn - 1; n1 >= 0; n1--) {
+            p = d[n1];
+            q = e[n1];
+
+            // Real vector
+
+            if (q == 0) {
+                int l = n1;
+                H[n1][n1] = 1.0;
+                for (int i = n1 - 1; i >= 0; i--) {
+                    w = H[i][i] - p;
+                    r = 0.0;
+                    for (int j = l; j <= n1; j++) {
+                        r = r + H[i][j] * H[j][n1];
+                    }
+                    if (e[i] < 0.0) {
+                        z = w;
+                        s = r;
+                    } else {
+                        l = i;
+                        if (e[i] == 0.0) {
+                            if (w != 0.0) {
+                                H[i][n1] = -r / w;
+                            } else {
+                                H[i][n1] = -r / (eps * norm);
+                            }
+
+                            // Solve real equations
+
+                        } else {
+                            x = H[i][i + 1];
+                            y = H[i + 1][i];
+                            q = (d[i] - p) * (d[i] - p) + e[i] * e[i];
+                            t = (x * s - z * r) / q;
+                            H[i][n1] = t;
+                            if (std::abs(x) > std::abs(z)) {
+                                H[i + 1][n1] = (-r - w * t) / x;
+                            } else {
+                                H[i + 1][n1] = (-s - y * t) / z;
+                            }
+                        }
+
+                        // Overflow control
+
+                        t = std::abs(H[i][n1]);
+                        if ((eps * t) * t > 1) {
+                            for (int j = i; j <= n1; j++) {
+                                H[j][n1] = H[j][n1] / t;
+                            }
+                        }
+                    }
+                }
+                // Complex vector
+            } else if (q < 0) {
+                int l = n1 - 1;
+
+                // Last vector component imaginary so matrix is triangular
+
+                if (std::abs(H[n1][n1 - 1]) > std::abs(H[n1 - 1][n1])) {
+                    H[n1 - 1][n1 - 1] = q / H[n1][n1 - 1];
+                    H[n1 - 1][n1] = -(H[n1][n1] - p) / H[n1][n1 - 1];
+                } else {
+                    cdiv(0.0, -H[n1 - 1][n1], H[n1 - 1][n1 - 1] - p, q);
+                    H[n1 - 1][n1 - 1] = cdivr;
+                    H[n1 - 1][n1] = cdivi;
+                }
+                H[n1][n1 - 1] = 0.0;
+                H[n1][n1] = 1.0;
+                for (int i = n1 - 2; i >= 0; i--) {
+                    double ra, sa, vr, vi;
+                    ra = 0.0;
+                    sa = 0.0;
+                    for (int j = l; j <= n1; j++) {
+                        ra = ra + H[i][j] * H[j][n1 - 1];
+                        sa = sa + H[i][j] * H[j][n1];
+                    }
+                    w = H[i][i] - p;
+
+                    if (e[i] < 0.0) {
+                        z = w;
+                        r = ra;
+                        s = sa;
+                    } else {
+                        l = i;
+                        if (e[i] == 0) {
+                            cdiv(-ra, -sa, w, q);
+                            H[i][n1 - 1] = cdivr;
+                            H[i][n1] = cdivi;
+                        } else {
+
+                            // Solve complex equations
+
+                            x = H[i][i + 1];
+                            y = H[i + 1][i];
+                            vr = (d[i] - p) * (d[i] - p) + e[i] * e[i] - q * q;
+                            vi = (d[i] - p) * 2.0 * q;
+                            if (vr == 0.0 && vi == 0.0) {
+                                vr = eps * norm * (std::abs(w) + std::abs(q) + std::abs(x)
+                                                   + std::abs(y) + std::abs(z));
+                            }
+                            cdiv(x * r - z * ra + q * sa,
+                                 x * s - z * sa - q * ra, vr, vi);
+                            H[i][n1 - 1] = cdivr;
+                            H[i][n1] = cdivi;
+                            if (std::abs(x) > (std::abs(z) + std::abs(q))) {
+                                H[i + 1][n1 - 1] = (-ra - w * H[i][n1 - 1] + q
+                                                   * H[i][n1]) / x;
+                                H[i + 1][n1] = (-sa - w * H[i][n1] - q * H[i][n1
+                                                                            - 1]) / x;
+                            } else {
+                                cdiv(-r - y * H[i][n1 - 1], -s - y * H[i][n1], z,
+                                     q);
+                                H[i + 1][n1 - 1] = cdivr;
+                                H[i + 1][n1] = cdivi;
+                            }
+                        }
+
+                        // Overflow control
+
+                        t = std::max(std::abs(H[i][n1 - 1]), std::abs(H[i][n1]));
+                        if ((eps * t) * t > 1) {
+                            for (int j = i; j <= n1; j++) {
+                                H[j][n1 - 1] = H[j][n1 - 1] / t;
+                                H[j][n1] = H[j][n1] / t;
+                            }
+                        }
+                    }
+                }
+            }
+        }
+
+        // Vectors of isolated roots
+
+        for (int i = 0; i < nn; i++) {
+            if (i < low || i > high) {
+                for (int j = i; j < nn; j++) {
+                    V[i][j] = H[i][j];
+                }
+            }
+        }
+
+        // Back transformation to get eigenvectors of original matrix
+
+        for (int j = nn - 1; j >= low; j--) {
+            for (int i = low; i <= high; i++) {
+                z = 0.0;
+                for (int k = low; k <= std::min(j, high); k++) {
+                    z = z + V[i][k] * H[k][j];
+                }
+                V[i][j] = z;
+            }
+        }
+    }
+
+    // Nonsymmetric reduction to Hessenberg form.
+    void orthes() {
+        //  This is derived from the Algol procedures orthes and ortran,
+        //  by Martin and Wilkinson, Handbook for Auto. Comp.,
+        //  Vol.ii-Linear Algebra, and the corresponding
+        //  Fortran subroutines in EISPACK.
+        int low = 0;
+        int high = n - 1;
+
+        for (int m = low + 1; m <= high - 1; m++) {
+
+            // Scale column.
+
+            double scale = 0.0;
+            for (int i = m; i <= high; i++) {
+                scale = scale + std::abs(H[i][m - 1]);
+            }
+            if (scale != 0.0) {
+
+                // Compute Householder transformation.
+
+                double h = 0.0;
+                for (int i = high; i >= m; i--) {
+                    ort[i] = H[i][m - 1] / scale;
+                    h += ort[i] * ort[i];
+                }
+                double g = std::sqrt(h);
+                if (ort[m] > 0) {
+                    g = -g;
+                }
+                h = h - ort[m] * g;
+                ort[m] = ort[m] - g;
+
+                // Apply Householder similarity transformation
+                // H = (I-u*u'/h)*H*(I-u*u')/h)
+
+                for (int j = m; j < n; j++) {
+                    double f = 0.0;
+                    for (int i = high; i >= m; i--) {
+                        f += ort[i] * H[i][j];
+                    }
+                    f = f / h;
+                    for (int i = m; i <= high; i++) {
+                        H[i][j] -= f * ort[i];
+                    }
+                }
+
+                for (int i = 0; i <= high; i++) {
+                    double f = 0.0;
+                    for (int j = high; j >= m; j--) {
+                        f += ort[j] * H[i][j];
+                    }
+                    f = f / h;
+                    for (int j = m; j <= high; j++) {
+                        H[i][j] -= f * ort[j];
+                    }
+                }
+                ort[m] = scale * ort[m];
+                H[m][m - 1] = scale * g;
+            }
+        }
+
+        // Accumulate transformations (Algol's ortran).
+
+        for (int i = 0; i < n; i++) {
+            for (int j = 0; j < n; j++) {
+                V[i][j] = (i == j ? 1.0 : 0.0);
+            }
+        }
+
+        for (int m = high - 1; m >= low + 1; m--) {
+            if (H[m][m - 1] != 0.0) {
+                for (int i = m + 1; i <= high; i++) {
+                    ort[i] = H[i][m - 1];
+                }
+                for (int j = m; j <= high; j++) {
+                    double g = 0.0;
+                    for (int i = m; i <= high; i++) {
+                        g += ort[i] * V[i][j];
+                    }
+                    // Double division avoids possible underflow
+                    g = (g / ort[m]) / H[m][m - 1];
+                    for (int i = m; i <= high; i++) {
+                        V[i][j] += g * ort[i];
+                    }
+                }
+            }
+        }
+    }
+
+    // Releases all internal working memory.
+    void release() {
+        // releases the working data
+        delete[] d;
+        delete[] e;
+        delete[] ort;
+        for (int i = 0; i < n; i++) {
+            delete[] H[i];
+            delete[] V[i];
+        }
+        delete[] H;
+        delete[] V;
+    }
+
+    // Computes the Eigenvalue Decomposition for a matrix given in H.
+    void compute() {
+        // Allocate memory for the working data.
+        V = alloc_2d<double> (n, n, 0.0);
+        d = alloc_1d<double> (n);
+        e = alloc_1d<double> (n);
+        ort = alloc_1d<double> (n);
+        // Reduce to Hessenberg form.
+        orthes();
+        // Reduce Hessenberg to real Schur form.
+        hqr2();
+        // Copy eigenvalues to OpenCV Matrix.
+        _eigenvalues.create(1, n, CV_64FC1);
+        for (int i = 0; i < n; i++) {
+            _eigenvalues.at<double> (0, i) = d[i];
+        }
+        // Copy eigenvectors to OpenCV Matrix.
+        _eigenvectors.create(n, n, CV_64FC1);
+        for (int i = 0; i < n; i++)
+            for (int j = 0; j < n; j++)
+                _eigenvectors.at<double> (i, j) = V[i][j];
+        // Deallocate the memory by releasing all internal working data.
+        release();
+    }
+
+public:
+    EigenvalueDecomposition()
+    : n(0) { }
+
+    // Initializes & computes the Eigenvalue Decomposition for a general matrix
+    // given in src. This function is a port of the EigenvalueSolver in JAMA,
+    // which has been released to public domain by The MathWorks and the
+    // National Institute of Standards and Technology (NIST).
+    EigenvalueDecomposition(InputArray src) {
+        compute(src);
+    }
+
+    // This function computes the Eigenvalue Decomposition for a general matrix
+    // given in src. This function is a port of the EigenvalueSolver in JAMA,
+    // which has been released to public domain by The MathWorks and the
+    // National Institute of Standards and Technology (NIST).
+    void compute(InputArray src)
+    {
+        if(isSymmetric(src)) {
+            // Fall back to OpenCV for a symmetric matrix!
+            cv::eigen(src, _eigenvalues, _eigenvectors);
+        } else {
+            Mat tmp;
+            // Convert the given input matrix to double. Is there any way to
+            // prevent allocating the temporary memory? Only used for copying
+            // into working memory and deallocated after.
+            src.getMat().convertTo(tmp, CV_64FC1);
+            // Get dimension of the matrix.
+            this->n = tmp.cols;
+            // Allocate the matrix data to work on.
+            this->H = alloc_2d<double> (n, n);
+            // Now safely copy the data.
+            for (int i = 0; i < tmp.rows; i++) {
+                for (int j = 0; j < tmp.cols; j++) {
+                    this->H[i][j] = tmp.at<double>(i, j);
+                }
+            }
+            // Deallocates the temporary matrix before computing.
+            tmp.release();
+            // Performs the eigenvalue decomposition of H.
+            compute();
+        }
+    }
+
+    ~EigenvalueDecomposition() {}
+
+    // Returns the eigenvalues of the Eigenvalue Decomposition.
+    Mat eigenvalues() {    return _eigenvalues; }
+    // Returns the eigenvectors of the Eigenvalue Decomposition.
+    Mat eigenvectors() { return _eigenvectors; }
+};
+
+
+//------------------------------------------------------------------------------
+// Linear Discriminant Analysis implementation
+//------------------------------------------------------------------------------
+
+LDA::LDA(int num_components) : _num_components(num_components) { }
+
+LDA::LDA(InputArrayOfArrays src, InputArray labels, int num_components) : _num_components(num_components)
+{
+    this->compute(src, labels); //! compute eigenvectors and eigenvalues
+}
+
+LDA::~LDA() {}
+
+void LDA::save(const String& filename) const
+{
+    FileStorage fs(filename, FileStorage::WRITE);
+    if (!fs.isOpened()) {
+        CV_Error(Error::StsError, "File can't be opened for writing!");
+    }
+    this->save(fs);
+    fs.release();
+}
+
+// Deserializes this object from a given filename.
+void LDA::load(const String& filename) {
+    FileStorage fs(filename, FileStorage::READ);
+    if (!fs.isOpened())
+       CV_Error(Error::StsError, "File can't be opened for writing!");
+    this->load(fs);
+    fs.release();
+}
+
+// Serializes this object to a given FileStorage.
+void LDA::save(FileStorage& fs) const {
+    // write matrices
+    fs << "num_components" << _num_components;
+    fs << "eigenvalues" << _eigenvalues;
+    fs << "eigenvectors" << _eigenvectors;
+}
+
+// Deserializes this object from a given FileStorage.
+void LDA::load(const FileStorage& fs) {
+    //read matrices
+    fs["num_components"] >> _num_components;
+    fs["eigenvalues"] >> _eigenvalues;
+    fs["eigenvectors"] >> _eigenvectors;
+}
+
+void LDA::lda(InputArrayOfArrays _src, InputArray _lbls) {
+    // get data
+    Mat src = _src.getMat();
+    std::vector<int> labels;
+    // safely copy the labels
+    {
+        Mat tmp = _lbls.getMat();
+        for(unsigned int i = 0; i < tmp.total(); i++) {
+            labels.push_back(tmp.at<int>(i));
+        }
+    }
+    // turn into row sampled matrix
+    Mat data;
+    // ensure working matrix is double precision
+    src.convertTo(data, CV_64FC1);
+    // maps the labels, so they're ascending: [0,1,...,C]
+    std::vector<int> mapped_labels(labels.size());
+    std::vector<int> num2label = remove_dups(labels);
+    std::map<int, int> label2num;
+    for (int i = 0; i < (int)num2label.size(); i++)
+        label2num[num2label[i]] = i;
+    for (size_t i = 0; i < labels.size(); i++)
+        mapped_labels[i] = label2num[labels[i]];
+    // get sample size, dimension
+    int N = data.rows;
+    int D = data.cols;
+    // number of unique labels
+    int C = (int)num2label.size();
+    // we can't do a LDA on one class, what do you
+    // want to separate from each other then?
+    if(C == 1) {
+        String error_message = "At least two classes are needed to perform a LDA. Reason: Only one class was given!";
+        CV_Error(Error::StsBadArg, error_message);
+    }
+    // throw error if less labels, than samples
+    if (labels.size() != static_cast<size_t>(N)) {
+        String error_message = format("The number of samples must equal the number of labels. Given %d labels, %d samples. ", labels.size(), N);
+        CV_Error(Error::StsBadArg, error_message);
+    }
+    // warn if within-classes scatter matrix becomes singular
+    if (N < D) {
+        std::cout << "Warning: Less observations than feature dimension given!"
+                  << "Computation will probably fail."
+                  << std::endl;
+    }
+    // clip number of components to be a valid number
+    if ((_num_components <= 0) || (_num_components > (C - 1))) {
+        _num_components = (C - 1);
+    }
+    // holds the mean over all classes
+    Mat meanTotal = Mat::zeros(1, D, data.type());
+    // holds the mean for each class
+    std::vector<Mat> meanClass(C);
+    std::vector<int> numClass(C);
+    // initialize
+    for (int i = 0; i < C; i++) {
+        numClass[i] = 0;
+        meanClass[i] = Mat::zeros(1, D, data.type()); //! Dx1 image vector
+    }
+    // calculate sums
+    for (int i = 0; i < N; i++) {
+        Mat instance = data.row(i);
+        int classIdx = mapped_labels[i];
+        add(meanTotal, instance, meanTotal);
+        add(meanClass[classIdx], instance, meanClass[classIdx]);
+        numClass[classIdx]++;
+    }
+    // calculate total mean
+    meanTotal.convertTo(meanTotal, meanTotal.type(), 1.0 / static_cast<double> (N));
+    // calculate class means
+    for (int i = 0; i < C; i++) {
+        meanClass[i].convertTo(meanClass[i], meanClass[i].type(), 1.0 / static_cast<double> (numClass[i]));
+    }
+    // subtract class means
+    for (int i = 0; i < N; i++) {
+        int classIdx = mapped_labels[i];
+        Mat instance = data.row(i);
+        subtract(instance, meanClass[classIdx], instance);
+    }
+    // calculate within-classes scatter
+    Mat Sw = Mat::zeros(D, D, data.type());
+    mulTransposed(data, Sw, true);
+    // calculate between-classes scatter
+    Mat Sb = Mat::zeros(D, D, data.type());
+    for (int i = 0; i < C; i++) {
+        Mat tmp;
+        subtract(meanClass[i], meanTotal, tmp);
+        mulTransposed(tmp, tmp, true);
+        add(Sb, tmp, Sb);
+    }
+    // invert Sw
+    Mat Swi = Sw.inv();
+    // M = inv(Sw)*Sb
+    Mat M;
+    gemm(Swi, Sb, 1.0, Mat(), 0.0, M);
+    EigenvalueDecomposition es(M);
+    _eigenvalues = es.eigenvalues();
+    _eigenvectors = es.eigenvectors();
+    // reshape eigenvalues, so they are stored by column
+    _eigenvalues = _eigenvalues.reshape(1, 1);
+    // get sorted indices descending by their eigenvalue
+    std::vector<int> sorted_indices = argsort(_eigenvalues, false);
+    // now sort eigenvalues and eigenvectors accordingly
+    _eigenvalues = sortMatrixColumnsByIndices(_eigenvalues, sorted_indices);
+    _eigenvectors = sortMatrixColumnsByIndices(_eigenvectors, sorted_indices);
+    // and now take only the num_components and we're out!
+    _eigenvalues = Mat(_eigenvalues, Range::all(), Range(0, _num_components));
+    _eigenvectors = Mat(_eigenvectors, Range::all(), Range(0, _num_components));
+}
+
+void LDA::compute(InputArrayOfArrays _src, InputArray _lbls) {
+    switch(_src.kind()) {
+    case _InputArray::STD_VECTOR_MAT:
+        lda(asRowMatrix(_src, CV_64FC1), _lbls);
+        break;
+    case _InputArray::MAT:
+        lda(_src.getMat(), _lbls);
+        break;
+    default:
+        String error_message= format("InputArray Datatype %d is not supported.", _src.kind());
+        CV_Error(Error::StsBadArg, error_message);
+        break;
+    }
+}
+
+// Projects samples into the LDA subspace.
+Mat LDA::project(InputArray src) {
+   return subspaceProject(_eigenvectors, Mat(), _dataAsRow ? src : src.getMat().t());
+}
+
+// Reconstructs projections from the LDA subspace.
+Mat LDA::reconstruct(InputArray src) {
+   return subspaceReconstruct(_eigenvectors, Mat(), _dataAsRow ? src : src.getMat().t());
+}
+
+}
diff --git a/modules/core/src/matmul.cpp b/modules/core/src/matmul.cpp
index b3c04a6bf3..99711e2587 100644
--- a/modules/core/src/matmul.cpp
+++ b/modules/core/src/matmul.cpp
@@ -3295,7 +3295,6 @@ void cv::PCABackProject(InputArray data, InputArray mean,
     pca.backProject(data, result);
 }
 
-
 /****************************************************************************************\
 *                                    Earlier API                                         *
 \****************************************************************************************/
diff --git a/modules/imgproc/doc/colormaps.rst b/modules/imgproc/doc/colormaps.rst
new file mode 100644
index 0000000000..9881d84ff2
--- /dev/null
+++ b/modules/imgproc/doc/colormaps.rst
@@ -0,0 +1,107 @@
+ColorMaps in OpenCV
+===================
+
+applyColorMap
+---------------------
+
+Applies a GNU Octave/MATLAB equivalent colormap on a given image.
+
+.. ocv:function:: void applyColorMap(InputArray src, OutputArray dst, int colormap)
+
+    :param src: The source image, grayscale or colored does not matter.
+    :param dst: The result is the colormapped source image. Note: :ocv:func:`Mat::create` is called on dst.
+    :param colormap: The colormap to apply, see the list of available colormaps below.
+
+Currently the following GNU Octave/MATLAB equivalent colormaps are implemented:
+
+.. code-block:: cpp
+
+    enum
+    {
+        COLORMAP_AUTUMN = 0,
+        COLORMAP_BONE = 1,
+        COLORMAP_JET = 2,
+        COLORMAP_WINTER = 3,
+        COLORMAP_RAINBOW = 4,
+        COLORMAP_OCEAN = 5,
+        COLORMAP_SUMMER = 6,
+        COLORMAP_SPRING = 7,
+        COLORMAP_COOL = 8,
+        COLORMAP_HSV = 9,
+        COLORMAP_PINK = 10,
+        COLORMAP_HOT = 11
+    }
+
+
+Description
+-----------
+
+The human perception isn't built for observing fine changes in grayscale images. Human eyes are more sensitive to observing changes between colors, so you often need to recolor your grayscale images to get a clue about them. OpenCV now comes with various colormaps to enhance the visualization in your computer vision application.
+
+In OpenCV 2.4 you only need :ocv:func:`applyColorMap` to apply a colormap on a given image. The following sample code reads the path to an image from command line, applies a Jet colormap on it and shows the result:
+
+.. code-block:: cpp
+
+    #include <opencv2/contrib.hpp>
+    #include <opencv2/core.hpp>
+    #include <opencv2/highgui.hpp>
+
+    using namespace cv;
+
+    int main(int argc, const char *argv[]) {
+        // Get the path to the image, if it was given
+        // if no arguments were given.
+        String filename;
+        if (argc > 1) {
+            filename = String(argv[1]);
+        }
+        // The following lines show how to apply a colormap on a given image
+        // and show it with cv::imshow example with an image. An exception is
+        // thrown if the path to the image is invalid.
+        if(!filename.empty()) {
+            Mat img0 = imread(filename);
+            // Throw an exception, if the image can't be read:
+            if(img0.empty()) {
+                CV_Error(CV_StsBadArg, "Sample image is empty. Please adjust your path, so it points to a valid input image!");
+            }
+            // Holds the colormap version of the image:
+            Mat cm_img0;
+            // Apply the colormap:
+            applyColorMap(img0, cm_img0, COLORMAP_JET);
+            // Show the result:
+            imshow("cm_img0", cm_img0);
+            waitKey(0);
+        }
+
+        return 0;
+    }
+
+And here are the color scales for each of the available colormaps:
+
++-----------------------+---------------------------------------------------+
+| Class                 | Scale                                             |
++=======================+===================================================+
+| COLORMAP_AUTUMN       | .. image:: pics/colormaps/colorscale_autumn.jpg    |
++-----------------------+---------------------------------------------------+
+| COLORMAP_BONE         | .. image:: pics/colormaps/colorscale_bone.jpg      |
++-----------------------+---------------------------------------------------+
+| COLORMAP_COOL         | .. image:: pics/colormaps/colorscale_cool.jpg      |
++-----------------------+---------------------------------------------------+
+| COLORMAP_HOT          | .. image:: pics/colormaps/colorscale_hot.jpg       |
++-----------------------+---------------------------------------------------+
+| COLORMAP_HSV          | .. image:: pics/colormaps/colorscale_hsv.jpg       |
++-----------------------+---------------------------------------------------+
+| COLORMAP_JET          | .. image:: pics/colormaps/colorscale_jet.jpg       |
++-----------------------+---------------------------------------------------+
+| COLORMAP_OCEAN        | .. image:: pics/colormaps/colorscale_ocean.jpg     |
++-----------------------+---------------------------------------------------+
+| COLORMAP_PINK         | .. image:: pics/colormaps/colorscale_pink.jpg      |
++-----------------------+---------------------------------------------------+
+| COLORMAP_RAINBOW      | .. image:: pics/colormaps/colorscale_rainbow.jpg   |
++-----------------------+---------------------------------------------------+
+| COLORMAP_SPRING       | .. image:: pics/colormaps/colorscale_spring.jpg    |
++-----------------------+---------------------------------------------------+
+| COLORMAP_SUMMER       | .. image:: pics/colormaps/colorscale_summer.jpg    |
++-----------------------+---------------------------------------------------+
+| COLORMAP_WINTER       | .. image:: pics/colormaps/colorscale_winter.jpg    |
++-----------------------+---------------------------------------------------+
diff --git a/modules/imgproc/doc/imgproc.rst b/modules/imgproc/doc/imgproc.rst
index acaebc4753..93b1cd9f6e 100644
--- a/modules/imgproc/doc/imgproc.rst
+++ b/modules/imgproc/doc/imgproc.rst
@@ -10,6 +10,7 @@ imgproc. Image Processing
     filtering
     geometric_transformations
     miscellaneous_transformations
+    colormaps
     histograms
     structural_analysis_and_shape_descriptors
     motion_analysis_and_object_tracking
diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_autumn.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_autumn.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..0c1c8a29b8de2a44d6fe6e646dfd039dd26bcb24
GIT binary patch
literal 1352
zcmbVKZ)_7~7{BYacWpN_I$-KPP#J704Ida=)s2i4bjYbSMc26-S;BC`<75epmTqPt
zFh$W13*Ze{QyI>BV^Ejb-f+u^B1L4-2<>P`Cs8V!`)k&@&e<62^R}xbh7am<xi@#u
z`@HY-`}4#GV?Sbx=;F=A7>;8Y4i6R^!Zu<O90gh>D5L~hWl||2C1oTTe<_8Wq!biM
z%2VVDB?|aTO;M(zA9P9Ls6<8(G9^V)@sj_v#J<8*a%>rn5qK6RQQ?FNkGU~5;FQJT
z0oX*~5<)5?DS(jz1>z!rPY?iF28f}$0roMeN|wHSjgDMw*hXdTUXpv@$Z7eC4P6(P
zZn-(Va&6_Fg9>HF!;d_gnVs|a6Hl(n%hx{j^fLt;pM9=))AO6@S6(eKmcCZTY=6C~
zddC~=&f2{u^FB*medF8j9D4V?!|xwG_95SV{KUzYkJ~=6e=4+}>G<5~61&fT(bN0&
zCHLiTu6%p7-|HK=<qr(r4&Dv@bZ>a%=h3n8@XW8Xk-6XIe~%(wh-We$$V&yhB*+5_
z@xmqh;3ZU2+441Hy3Rmt+r2m|_keuKh9jrDE-F^6-7>wja?ed=#>%|A*<nO2&g|b2
zJNUnt{Y~sXuOOC6;9wr1!q#K+A)lQM&Yioa=LIhK<x$SG{)bf~Hi7YqqeZ-x^}8JP
zY4*DO?sYU|4YQ6yy?BxxXwc|=j=GZb>t56eJO0SGqm1^ud5-qAM@#wgGoe7<R6&}9
z4Mx<=b=PQ-C~yM}+*L<cs1!DgHbEDOw`6ZLaQ%*+Q0bi(vkgw$tAi$oM$ZrXzYl9B
zJum3n#u%fG)55hzUSMX<novjX2I>!~s!kn3)HYV}(ypfT9sylP0}QRNHR|V2O$Ye$
zTDLpXY=d&hR0*^Xff+WATSQM`McV{iuF(eCp;(}2xHm04WN!(q-?{oN015qSEGHWE
zfz~Me8D`I2t7sf!%(hM5zK%ODXY|-Xp2-+?$ho?}Z-Z{f%D1~eV}mAjqRoO%t<eMw
zwdXSQ7pKaa0Zu^NFGPAzP4cxMB+JaIX^#ugT%f#tEknz)Aq(^X!FAVo5f6a+I)*;V
zdCcehGt-MQ)}-kDj)5=-+EISjRDF}9n%S#neByYKc+Wo=*1*O;nS-vsc)&zE>virb
zi1VJPvG8-%cI2)`FIth8G;+5Wbwpzzpj2*Bh0dJrD~Gqng|q_<Yf^ONW937IFi0qq
zi{=WzAj_B$Tc;s{e6^x60Gk&Es&l8$HBr`l;q3isdVsejHNpp5y&#Wy|0NKQ(}Tmw
SQEEzbS&(UAnkv&`xBmj<XI)PK

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_bone.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_bone.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..7dbf7663597e6a9e54ecf4f937ce43c61cc42116
GIT binary patch
literal 1325
zcmex=<NpH&0WUXCHwH#V1_nkTWcYuZ!I^=H5d=Ua69}*{gGg2u7G@SURyH;;X6NK!
zW9MXNW8>iF;N$`UAd82aiwDF383NJD#LCRf%Eivc4pu@E@&5pWAP0jSBLg#|5(ASU
zBeNjm|04|YKzFi&od<L*1TZo&v#_$U1D(MQRIpV5=zL~oprcuVE(WTu1<Et92(k((
z8alEG2PU#B6^a-&PF%>L?6mQqXwbzED#l4gO`Kd};u4Zls%q*Qnp!5NX66=_R?aT2
zZtfnQUcn)uVc`*xQOPN(Y3Ui6S;Zx#W#tu>Rn0A}ZS5VMU6UqHnL2IyjG40*Enc#8
z+42=DS8dw7W$U)>J9h3mboj{8W5-XNJay^vm8;jT-?(|};iJb-o<4j2;^nK4pFV&2
z`tAFVpT9u<0{IgLu=-07=r1Nv9I%7@#mH0+#LR*$tcr$gLXLs#iG{*SMvWXIP7@by
zJjkhR9P~jnspuk?n2O0m)sG;rfqh1t$C}9U8QfzCf8Ao>VP*tI9<v~WJ;NXF4KM7r
z?p^k6jWl2L>*!ngS(g~{BTD3>?tsMG6ED<e7ad;k>w1it;=4SM_zRQ&3_G@-zX4}n
z^)Hm3Cd+<pyN(tA+C-2zSnGABloF}>J5Y0$|2?|)G|+<Bf*X^I4*$rm_I(>+CVv=Y
z->YTn8!u$;UA^d1_T0<W;jT-ro;g-6D>nPqE?ez)UC&MKUA_1+z9fvlcviaeGLWrb
z&UME;n+bH-;>%XLiOTcR-Ita4uPuqn&w5^RuJh}<ZlKvGo=v=%Ilr=Q>P4W*b1&O{
z`m4PNXt>R}$h?v$Ux?aSFSgvf+R~RfS8ne2X}e^NSNsaMU0(ZiUAxaKyQ$qbcDXw)
z`?jvx_ifBSpj&v&x2EczcLSRGSNvrx-^{CaQ_mxqQ~G|z^0oWEjb)pCYv*6{ttC?V
zSx4Vgne;y>0|wr;Z?kW0$N`2<e&*hl2VR)30W!g1c^DMNJ3(Q*PFmo*IVb?ZVfOqD
zjP+{yj$Tl>MT0_k14tOG@pYq-6|em}U5F`{|2?|)wB7ORx*a*5I}`tyf@72a;o7(6
zTT6q5Z@d5nVW#Q1m!L4tdX{Y42MnQDxvAe>i)ZC$z4)?zmp1#(v&IWAgDkB|cU@QP
z19aBKmvhB7OgwK43}p3dyL8RB7Vk=T`E}hDm{L-TJzi`%zh}P}C;-pBgaz}wbe-*1
zx@r)$;4nVqZgQ^Q@Aqk7cwMR0o_BfQr|ZtkO69$dzKK;{0E`Y$0M|o8ZPT>pi-D&8
e>;3`?|M_0e5zJHWwR-K&sBw|>%~s0&|4jgO{5tOd

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_cool.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_cool.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..4253efb99d463ed63e4d70c09ddd09522315d9d8
GIT binary patch
literal 1325
zcmex=<NpH&0WUXCHwH#V1_nkTWcYuZ!I^=H5d=Ua69}*{gGg2u7G@SURyH;;X6NK!
zW9MXNW8>iF;N$`UAd82aiwDF383NJD#LCRf%Eivc4pu@E@&5pWAP0jSBLg#|5(ASU
zBeNjm|04|YKzFi&od<L*1TZo&v#_$U1D(MQRIpV5=zL~oprcuVE(WTu1<Et92(k((
z8alEG2PU#B6^a-&PF%>L?6mQqXwbzED#l4gO`Kd};u4Zls%q*Qnp!5NX66=_R?aT2
zZtfnQUcn)uVc`*xQOPN(Y3Ui6S;Zx#W#tu>Rn0A}ZS5VMU6UqHnL2IyjG40*Enc#8
z+42=DS8dw7W$U)>J9h3mboj{8W5-XNJay^vm8;jT-?(|};iJb-o<4j2;^nK4pFV&2
z`tAFVpT9u<0{IgLu=-07=r1Nv9I%7@#mH0+#LR*$tcr$gLXLs#iG{*SMvWXIP7@by
zJjkhR9P~jnspuk?n2O0m)sG;rfqh1t$C}9U8QfzCf8Ao>VP*tI9<v~WJ;QIg_}8IJ
zU;YT4S-&=H`tpbI*9`3sp4pxfHhcNQ&}FZGT%EbAPBbcSe{bo5-+OkagiT-nI5hR&
z)U3Guy`j^8g@^F(KE2&FbJsu9D4<B>Y@qDY*FUa<gu6EVXYg99U$t5P%c@J?*X_uu
zy%xJk+xu_Umc8~|oAtl0y7c9b_A2$ePj4^Ua@U?~t$F;hHD@n>SarGdPxd<YyHAfs
zR)K7u-x>*YR_L;qKY*6)I=u~>WqVHV5(PRcD(-7q{L9d#?_&#Y03BNrHvQMtOrRlY
z5HE&@`0qYl<{DXjHM4$g<n+Bj>FY5-hi-GlViOK;?K<6c3FxiWK*z52{;Rd-ZoSm&
zw&OrQC~etWFSS<x%W9*qf3mjhzqD&n?Y-Dt_U=pnZH<Zp`2pgTKgWgtDI49L2=Z4L
zFtozbfI$xmzU$2IKE0g?3PfPAhOVsoXBrm&GB&{Oz203>P&8x$Mbd!L0Ez&xu-56n
zT3hzMI<x=MYVUiy9&Y>|S$1MABviG|?7z0!`|^i%E9RF^&+EEe@<(e6(4m{n{SU47
zz5a3C4*BxwqN!kufq?^b9VoJahQ8LjiOsIhdM`k3%B;RRvwmsV^u48rlYwr%7=@Z}
zVgv2o>)sSieIE++a$4M1pmb~j(D^_iOq+1{>a`v)eSiaXD=^V)1|<Y(pj&ggE<ply
V&FSkOSAoL+Rp<B0vKRkv0syp$Q91ws

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_hot.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_hot.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..cf7870085b77e0d80640517633e9eeee30d51a9c
GIT binary patch
literal 1403
zcmex=<NpH&0WUXCHwH#V1_nkTWcYuZ!I^=H5d=Ua69}*{gGg2u7G@SURyH;;X6NK!
zW9MXNW8>iF;N$`UAd82aiwDF383NJD#LCRf%Eivc4pu@E@&5pWAP0jSBLg#|5(ASU
zBeNjm|04|YKzFi&od<L*1TZo&v#_$U1D(MQRIpV5=zL~oprcuVE(WTu1<Et92(k((
z8alEG2PU#B6^a-&PF%>L?6mQqXwbzED#l4gO`Kd};u4Zls%q*Qnp!5NX66=_R?aT2
zZtfnQUcn)uVc`*xQOPN(Y3Ui6S;Zx#W#tu>Rn0A}ZS5VMU6UqHnL2IyjG40*Enc#8
z+42=DS8dw7W$U)>J9h3mboj{8W5-XNJay^vm8;jT-?(|};iJb-o<4j2;^nK4pFV&2
z`tAFVpT9u<0{IgLu=-07=r1Nv9I%7@#mH0+#LR*$tcr$gLXLs#iG{*SMvWXIP7@by
zJjkhR9P~jnspuk?n2O0m)sG;rfqh1t$C}9U8QfzCf8Ao>VP*tI9<v~WJ;NW)O>4Wg
zj)RCt>uS{kFWi9hKN_;Xl5}@YI<-w_wH$~zvaW97loHc7zxvnaM11>o&31m^*R|bp
z_oF^)&tH)$%L`)O*!cGAnrbLxz0kflf1Nd6fK?yu&tIE-1E>wesF?aK9b|aA|L?=E
zW8K>Sn4W(5pP`~Qd&PzS3~l@Br9aHi4gPymwyyg^t@gT$Rs3s<tn?kftlRDS!fxxw
z8UL0ac~<MU-}#@^8x#A7>+GS7^<Bs1=RK=7-T>6Fv~-t#=sItp`l;7m><!zeFH=`J
z^WC}KuCMH-UVkxn^@NL6{Yy)Ksb~FIQ+MXicaxiQ+d6OU`YXQby5gd;b^BdkZT%SW
z`SY3cX{Ec=vtF01-=#h2qIG!m(%Oshit#^Q{P}En=f)PGSxYmoZO*moUz!<Jy8e2F
z`<wZO9VTn7!sae_{JQ3}-_+%q7izPAHMi8Ad>n4F7U-<ZsBdd-$2Gr<3fsFHEdD5o
W|3Mf$jNiYWcWg8g1|kyv-vj`tW_@S?

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_hsv.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_hsv.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..6032b875780af56e1f9339a3f46af4f55de9bca0
GIT binary patch
literal 1690
zcmbVKYfuws6#YWTgU3t=h*U&YM5Kx>BMK-=B4SCQ)`<8b3K^fMi~}MF1w#rbp;jkF
z3)HqYBS=9jW<=tH0#QIwXstY&@P>c_Awx(YflWwuy9-svnf_>dcfLFK&Ubd_oIM9^
zNBe<YSV(9HAP@i`U=KjMKrpZ%;DvV!yex@$Cs|q&Ey*M@dG=7OsAP&2g-oW}P_3--
z!X{fAYg>H5KQi~K1&K%`SyRZAS;&8C=p#U<0#^bc5|#i9I)O+hp!ER4c#>x6VPxlu
zU_rDbktrAr8w?<^!{`%<7-<s57(?^0dtgZ?*}JU@B0Gfdrz|-+&nF}I8r6N%oyU&b
zn>9;UA4tfwvYzks!2)NGWu6}{U$Ms5&wuT@fZ)xags?sh4U5>ZbJy-Yk(`5v4j+j*
zdhGbA#H7>7DPN>!ojsQ=$ocC0rOV&u<rjQ+<@>^->%~8pl-{^mez!t$@BV{_m9=&C
zPo6eBd*0a6+V-bR-rmuv7#Mu@dT4k=IjWtQ)aj?DVS^FZh3kA%|EP<O>9W8*py0X)
z7RlHl(k)4DtH}02;gtO+9hUfHQ0HyRy>{oZmHX=L8pi_(&DQgmu2FbsacQ&4{++PQ
z|E27$uy?vTfi01MnMb4pCNKyTC@|eMd3C3|>e#ha>)%_Y=iq`dXsp1ASJa&jp@5Vo
zs6#=&m<IDrj%tX8f=sChhcua@ri2MFubClHE=Pf@RO37uC+KldMPCwWRVW~cYbWET
zFB_6C_~kaiS#XV{E=2&V9%?CCUTn6Orj-}xCo*$Wy2f1mb5cdc@ilHEeH?XFaGTld
zoR$`1l#eWk35HQ{v8K6R1!*T35|4s#eW_ju8z9c5rc$F^)$L|F#9wtpH16Yj%SbCe
z-XYs53euJB4L~aUh2>}NEtcOMVdRxK8H;qcniyG1&Po1FW*G9Q|7u~%o{KM74ct-o
zjAVdm$9!Ef7~L}{)_a;ewNMT;(W(_I)y|!seVTmj2Ic_8RAGv(OJB@ilvYqrGaQ5E
z*`|$10P>|mT+ZL75p>`ft^5ZL|Jf$?GzyAS+4ZzRv0nuWzBwxzM?sjmbp;9%WAsiG
z)3)^xEeQ%!R|T3JYvHs~<L)HIc)!@mXOzEB!|GTsq9sBc^_jpno>#VJI!J$exUPrQ
zB4z$oDQb72Pi<{rqhN<L?C==#&5+J~BCU<lz1WG2J1m<hj|+f`W21L{J{+tQze@L;
zVYMkz7x-7RWq;r3nVjcUBk6f2{?oprMq9sza19EONW@Xiq@{W)q8Gila)00O*_1G2
zV7wwtI2(m{JPKH7@GMl<VS{G(Bns@!MF#%YHO*=+t<qCg?ZF(BBgE(vnwdggY)b?Z
z$nW=sqfa0c{ExNSE$jGpd?(q1I6D+9N@grZyvyQy-H-rX`3u2>_d;F~mX8SCZKwLc
zg{mm|yL6a|D@XW{_I~Hus|OJVOLo0{lp%4wg96B1wLLNk;+WIUGA{^+R<@dlLL_rh
zXv8D%OAJ@Ok3PlDuXmo}QCcbnus@idcO~W}&ugo<o~7iryEs&^ZRii5!76ho3QkwC
z<~;AJN<yxq;MZt(EfL|Q`<esm_HLd*?0Y>0rj01b7hOz=!<|lmGf?mm(^=D(12u48
zy7*49M_uh^a1;_S8Ot_MLlG3{#G!D8DQQS1ny|ZUMuC!Bd6=udfE4zl;5_A^LS3Yc
zk_)7n54djwGB6ayR{cbs@jRtaXQ`t85L60_<9l647?SSU=nNYQB4&u0jOXo26pR)q
zw^WzB8N?0neRvCUrBT{5aHw}S4rQ^8bIuEK=YRALUN(KhD8qwN7Ta5*iuAuqYmo}!
Mt}!SmyB+QL3w;MAcmMzZ

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_jet.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_jet.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..ea273a570528421024a2fc720876e2a50892adfb
GIT binary patch
literal 1579
zcmbV~ZBP?e6oz;62?2`{qE@Ypf>?+hihv*k?kE*BRT+&C0ZB%oB7~2kfCxiUrD%mw
z{Aem*O+*c-F>X;2Welk(ppJ?OhCmq9fJBm@O(b9p3F&SW>yQ4hJv;Z@v$N;yecySm
zz1#jAm`aOU9R+|O0D#B?*n5FU00W|dW(*oQESm8+92Q5w69|q)bao;Torwg3lZ%rx
z2@Rxjbs@Q;FX&I+k7DpxES^Lp5FIW5DcS!7$WFjq5Ws@-0Sp<$l0o|&z!TAlcgRD;
zz7G(C#o-A=M1~8}&@dH|kHsRQ@rYuiyBPTn;K=xC^8%I=+}Cd*&d>2!yyr-blh=y+
zTa*nlgLmN89ebTg(`U^5a@GQ$g<t#n1qCk&30)c%`Q6H>=vAv}^o_A`j7{+g$tgc<
zOWmH9zB4y3e^<fo!jhj$_wE1XK-tk_zw&-NURhOr`pj8jZQZ%^7cO79+HkG$`i-WR
z+jm;q+V9@GFYkP!=u&p~sMP%fF9tO)hqOB5n-SCK*jw{E3+fB?IT`=zi;VcfpbUtp
zFA%c}Sy(a-KQDkVZTWiQmK^u_i}yHrtT<9rf6Lh`aD#!eb%%^J-8)FVz=&FNIQu+f
zd;gcSkH-G-r2<^BAOa6d1|Yx+HR{a@Jx5x)ezM@!%?TchDHqq*WHQ7>v9r@9Y?bs>
zD0`Tnlz9klkudbk<LYH16Gg+P=%fiIsq-l76uc|6M*s@4I@TEK3>=D<Ng0yTMpz^+
zQO)G3ndK(<{*^;@{Z(&O5!4pJEi*%CW}LQBABOu{JxdE&rG@@->7qwrg7VbfD{`x^
zN)qTeC{?{qp>-T%6@}_J3k6w^9<?{huPw5;36s0WEOD)Z<tF&$>u*)j=UYzPQC=38
z`?aHKf<ExoSuX9zT4V5VQ89aKdt+DqWFh5Uzn$hO-|TyJZIPQ=T<)g6_+f_!nE~U`
zrbbe>yIX5gqMn)7f9aqJ{@%!lvnZ<zL}!YrgNrj|HtgZt@Xl6lyIEOfhRt?hmZ^hc
z2RsLusr}LcD|>YFi4;!H;f#t9Bg;4utl>~6pf*Y1rvo;+&k#p(_%HW|;jxP51`XeD
z=o!r<rQ~Icch{9Qg~+8F?_G<26;F)Zr)UxgcZR`z!JX-SG4dNH8Lz8tM0`{D(*@(v
zfucN!rU}m4uTNSgeqy6mDw;gS#c?jlhA+JP`2N{Sqo~WqC7qcp?7((2dsy&-mwC_y
z<$A6+R?k$}z}u{pH~Ne`&L=>F3~;PPDKy7iu;Ghtv^_Apj^`JqmO>>4m}Y=iS{T)4
zx)~ywV3LU?<i!4-2YGZf%d||73AYxBe~V;>mYJrGd2Xf3tyCF@_ikIx6KmqKKK}8K
zNJk)2KD@?p%wT*w-55TepPwJm%&Sj*TuhxiiJ1%K?2|{V^LXkb;bp|fMIedsMlkc0
zmxW#$asW>5)hAAmXl|&OEUe<T*{ddws@I-ocXOv?Y~oHy{;+fXj1?+Kc%5EQ$??-Y
zOBjiv<Yo&CS!GR)T{k;hlV)pKzQ?jEhUS#iX!t0yn;i~hwFM5wBankJ>%xm(udxRu
zDZ8a*cA&xt2Ra~YKb_E3g+z{B++V;)?vHpB4l**LEXa))iHg|>Z&@?XQoHstlzumC
z&JvVbm4c(abRtg2;XTkvbCpA(-^esZf7Q~HiRUeh08uWKpdHPs({64PKen-Te<XVT
Kl;bmO@A(@(*W>#D

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_mkpj1.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_mkpj1.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..d7e936397f1f5a4b96e4a4783bcbc02ca7a12fb0
GIT binary patch
literal 1569
zcmbV~e^ioJ7{_0Ji)Khxu2pi<%58M!DN9RBj=5~H(o-#&Oy$%{My^d$!Zh&oL!o(A
zYt5Q#>Z~y`2b@x}KxGBhma_<dkR;ekHBk#>!bF7Fed(<J*&o}U_uPBld%yR2@AG{>
zkN>{^ArwYW+mHsKP!NOy59EIUr9x;F63C230*gUr92Seg;&FI<U=WBwcmk1t#|MQ3
z5rdHcZ_`48ry&dEBQH|XI1C0COu!QYNB+~~{~00&L6Im3gNlOCWE6&s@@pXqs1p|`
z4;1?%P-qMmhbMqCLcjq<7$_fu0Y&3L#o#m_=n$5So3UVN3O;=Ec0yF)%w-2pGz3Mj
zy?AZbmV09h<96&lL=2uC@!Fi%7cGu?<IT60uZT}rxhgUBopovJ-`zmp`u?^|#s^u<
zk9O|LV}H!qT~y57$1B-idiY31rBHPA^RG^RU482GH#Og$J@<q7N6God3zwQ(6qj4C
zTvcAzXm8xS^~<lf_1!(aeTMt}M%eP`@sr<&tivOYKgOM|KPTLi9>f>o^Y8daUu575
zjW8e}zEEf$7#K1Zw_quLM#^Tw_QLR}We0<1u07Fk@ftBYZp+xL9eeKu&tAA3UgSWm
z1)TjmV~75ivzNwR`7%P&Fem^ILxyOOmo1dQ%u<HOk@cn1OU<DBp<JqO@OJqTL5|3s
z-mOt{^Oa+EGZQ|LG?A&2Pxn2MC&l&G*XQ}t?V8&4ePGMU5*KvL8%b7}N_b~|)bX~?
z#>w2zdTib`y@G0!n`e*hyOKfTvcx>W{Hact{BF^v{>i*TRg#=kj^ouuj;QGmy=%O)
z%q3+PK>7fZ9#FZgiKeT%4vUXkIX1D)50$EFLu|2n_3EyD>?c=SZ+>cYQs{ccv#iVQ
z1bvINjA6;%)Z^)xZ{=k9p-_&o_@_=9EKN$U_D*O`8K#xI1_?*U&!-!{_hjyoq`0Ki
z+{44HJKjyrv|`v?Su5G>lv2|bXE;54D!p4;o?IBO4=B|Vy1sQvXw8rB7IQxIX`Cy(
z<63n%jSI49A_44S5G`-JOm3l#A}*+lvga<&()o_Z^v{bGDHDKsGQUq|*XGO}&5jXu
zj54gNa;?4$AjgPQhEPl77cSY5HfOZbK}z!&tozxiu8s9O3j|S9((G6ft!g;OfMkVO
zNEQ#nItP)@>@28T@H`P-oqDgMQl$>_L-WCgbug86c2_N_=aN8pJ?tgUWs&t2oMG1J
zjq=`OTfNcGOA0AOV+qeD<>dk%*|9>wh=B_awkd}4%HqbK4mO(HMdv+W%UtD@MZAJ6
z;MH(x)Gkl$pin8-tJI(uJO(0cYjVo$8ufmGV$#M@(U#mvU~^&nL)o~-#2C(|2-SyF
zcM<x6G9*2q+M1rbc!?1MpmEFqznxLkz`x;P4Asbf^R~vjyB+{8%*^(tc!X57e7E<#
zqsn@QrahGUf@cleyF$XztLxln8mA=Foy(sklB66a=!UKqYqCO|uj5lE2ajH6+rCTE
zb+?QpSBp7)&3h7$i#bfLeCW<%<9bBVw}4yxP=PNr&sZ#_mR}K6s_RNlTiCX?B;73s
zX@EwDSFbaJ{|k`I!T};}XCmd|<EiKhM+87cw8ScVP4235{QM)12-9vKfoh^O0vW7I
z;WofVG2pIhFE9f#Odn~9RnU0y=`oU)#cir^5FC7}63K!Oq<C3$A0{Awax7d+y9L^$
cG(l(JStyUdwQJ^D^PL-;8$72nbpHOo038Y9Qvd(}

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_mkpj2.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_mkpj2.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..40b067afe5e47e2f0e75e2176e8719a3becbfb27
GIT binary patch
literal 1517
zcmbV}c~DbV6vl7%uqZ}UEIMWsrM9$Mg^D<pG$NvD(TS7<Vv`gsprA4W8chtTA|P&z
zwYa4;2*#+OA+l*8Mu}ow!LXx<K@egJB#@8|czr?XGSffWesAuXbLO3U=ljhEwLq`H
z6v~=)YXAZP00RC1^c(~MB*Gy_MLL8=IVuK?Mxn77EOz|hobXtj6Ap{TyWpLi9fCVo
z7iU+;;CSTSRU`(5!Z_owxbc<$RG`~{fCqCB0EL(bkOTyZfPn4-BJ2}0ZVxv5P6#9l
zjltqz8!qrd*%a753I&_Sz>eW<KKvh`37DyKmyogU)F|A%ozs@?KXD%KwMuqp`o?Ga
z`M%Lf2b`Q|c+C93bAk7V3qShU@AGB;%L7&ftqxujvUVLM?3-{JJtC5^`TLmIxGh`b
zlT&u>=Iq(aO*@#Lk$EWV@Q){d$~krV%-M7K1sB8@C6_K=xn5FQR$g)Aro38p_g>BY
zUmrYF*EcjaHMg|3X*yqbb-(H9)xI?h4jE0uW{cJ4;Bs(I=pVTVFc;F10nWjNKyu)N
zBA_vImtd!osko?}?(>%J$4^^z;=JsRlb7#C{q*RhXU;R``)L*!9BAWY{|@ZH|04SX
z>`$&X;EF=P;h_kC1V+SqQp8xkBK!8Jm(AHwi!x=u^=TP#Q<L(f=2?fhqQ_NX4W<sf
zkuB!ZGn5%s&DASCw5%MBR3oiP7G#NPt^L3Cm9h$SOjeFLIO*JCs_B}PV$Z*Ynsw8f
z8q=Und8#~?;+YuVV|?FOx6#8o4Z;%Mdb{ea4==PYVg=_Vk-DiZG2Z%^IvDY!wQj4T
zFsV7uMw=sStN4`bCf-*brT2Z)J(9vI>toOas>pIhA*I%mFu2HjY<6~?h4(tEL^7(`
zWaDh8F7|^!m5*S()<PeQn=@KqOE{4FpdzY{pTMfmvo!^0l1*26>(g}X`!AS=wPTkw
zi5cGM(s%_fvHDWmaADo<5g)7l3(Hyi@lbvK3$|Lw8M~6}VZ7K5fh*D{GIkAV_3eG$
z!4NRe!h3>@S2sbRv#9WCrj|KvS)j-@hM7X5Jg(F+I7~Nn$s${`EF}4b%ILepCKAWA
z8?SzKOQMbB@O>KdcxN_y+m-6#vPGs!eup-Kahf|^{9Hs%YoA?SX`ZEJ2|5Sl5IDxg
z{&nJ?3Nv^O46=_AGk?M9hz)d^g?K?gW(B-Tm5m1Ti2H3J#_14<{W+)s0v^jHmvy%Y
zy-JEvI!Q2Tuk;{yv0CAyVyoCk-$1~fBpPaOeZEBz(j-^-^dIi_o5*n=)<1c0<k4ld
zHdo-;>-Vy;cA^<<xhA>y+CO$U*PPiv8y2<|rwmjD=2w)yY#cgM&?OU=<kj<N-BPl#
zXr+JI4u+9Pv2IhnihJ_N(yK^lD=mURM#**_Ek~qp?)o-#B!GBcZ@%vyx4~XrVeA*B
zf43C^duU_1^?GU7)0OrRV>5d6<PH^_oI*l26&;zJreh4};+mA%H!3?%j8dyRTti)0
zjoir{>D015dS0J}J~X`7;A@^O)CAv9ikA(HhObzx4XuPgI9nL4Jer#IgXQZZ6QMCG
zAaE~|p6jNTFWkltocU1Ro0@Z$(^T3oCyHa4CTaBXo|~DyvF#=j<x!=UahktDeZAjC
zFZ|N{Sxu-}AdZS>>UO`6u`jA3FbyXU*v{$qS69IgckF_Ir*YEXM*Am{&XA5Sr6&n$
F{T;Jd&d2}&

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_ocean.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_ocean.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..11d771f71d269bd399032ce6a01a2d2d234d23dd
GIT binary patch
literal 1430
zcmex=<NpH&0WUXCHwH#V1_nkTWcYuZ!I^=H5d=Ua69}*{gGg2u7G@SURyH;;X6NK!
zW9MXNW8>iF;N$`UAd82aiwDF383NJD#LCRf%Eivc4pu@E@&5pWAP0jSBLg#|5(ASU
zBeNjm|04|YKzFi&od<L*1TZo&v#_$U1D(MQRIpV5=zL~oprcuVE(WTu1<Et92(k((
z8alEG2PU#B6^a-&PF%>L?6mQqXwbzED#l4gO`Kd};u4Zls%q*Qnp!5NX66=_R?aT2
zZtfnQUcn)uVc`*xQOPN(Y3Ui6S;Zx#W#tu>Rn0A}ZS5VMU6UqHnL2IyjG40*Enc#8
z+42=DS8dw7W$U)>J9h3mboj{8W5-XNJay^vm8;jT-?(|};iJb-o<4j2;^nK4pFV&2
z`tAFVpT9u<0{IgLu=-07=r1Nv9I%7@#mH0+#LR*$tcr$gLXLs#iG{*SMvWXIP7@by
zJjkhR9P~jnspuk?n2O0m)sG;rfqh1t$C}9U8QfzCf8Ao>VP*tI9<v~WJ;NUczx}Nq
z^D9C!uYXu6{GRLGVPPeg--qVyb-y-aens&06~C@uNbH&SWU8urP&kkkcli2(Um=~}
zUETJwUs~e7OZ$bvu^<)yU79a1e_W=1SLDmf9}o@O{xj5nT)WqNYf|*z{|v{reYtn_
zt@A_o`CUKwntk8KvdzA=^RM~V5~=*G#ZNch^#h7U-^$Pb{5rxaKkMG*>iYRn{1cCr
zTJf51|M_(tQ1)MK_I$AL3zK{IpI@70=Pr8%!rTQ>Qx8_N0IVkc<l|j)*=FDV^Xt0r
z!umDx@vmdfA@hRmTYgr}KWe?6x1P6rp3JNLjxq9W``dP(=PQk0uwGoK`i5M4?ZbPk
zzpndycyIXY82R?9_1A#1U*p%-{8RaD!*=3*jrGO4srM?%->ogElYOz@>%EQj_pp8S
zLbcQ4cUj-(D~VqL)Ej>osMSjUN_geN^$*w2KQceP@kRMQkbSYw+pX4L2xotIZuJ+@
zdlkj2{<1<%{>OfK{lg&jd!kaMf3$#6v7D!BlZyWy&DU3IGdsVx+E(?it!0xq`OY&a
zq*N8iI{L=8ihrrc{F0FD3$;KEi}p41qypn`(Y(3#Qc1NJ{r%?mf;D*OfB(-Qb^CI4
znCkxff3ov^-^N|B6RG^Mz5y7HS1)AlT@4K2aK~leR@p^^!}jXlW#9fY*llfI_HFH3
zP&_R7DU%)y31LXk1EUZgJ(-K26oTUs7*h~6&%c0T3KBibYUWw51lqCx{MwRR;=c}l
z{kQeZOJtt$5C7>a{{-*)aQ(yeN^qzg{E_`5d(VgGp})937OL+BhTJ{bSNo%Y0e!V@
z>%kx8tNsFI--rIXe*TgF<^wr>-w*E<e+dlNx>wiPAKvT!0u2BCrP<Fvs^3igy?F13
u=dQoH-rJb|F+KRBc+p?i@_ADKq<;SK{8k~?UX2tB1$9W#12MV(|4jh=x0Ry+

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_pink.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_pink.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..8fad88c3f2464b6bde38ef2f3f089228943eb248
GIT binary patch
literal 1390
zcmex=<NpH&0WUXCHwH#V1_nkTWcYuZ!I^=H5d=Ua69}*{gGg2u7G@SURyH;;X6NK!
zW9MXNW8>iF;N$`UAd82aiwDF383NJD#LCRf%Eivc4pu@E@&5pWAP0jSBLg#|5(ASU
zBeNjm|04|YKzFi&od<L*1TZo&v#_$U1D(MQRIpV5=zL~oprcuVE(WTu1<Et92(k((
z8alEG2PU#B6^a-&PF%>L?6mQqXwbzED#l4gO`Kd};u4Zls%q*Qnp!5NX66=_R?aT2
zZtfnQUcn)uVc`*xQOPN(Y3Ui6S;Zx#W#tu>Rn0A}ZS5VMU6UqHnL2IyjG40*Enc#8
z+42=DS8dw7W$U)>J9h3mboj{8W5-XNJay^vm8;jT-?(|};iJb-o<4j2;^nK4pFV&2
z`tAFVpT9u<0{IgLu=-07=r1Nv9I%7@#mH0+#LR*$tcr$gLXLs#iG{*SMvWXIP7@by
zJjkhR9P~jnspuk?n2O0m)sG;rfqh1t$C}9U8QfzCf8Ao>VP*tI9<v~WJ;R@<AG-e;
z6t?`)zGGwfJ#3HtgYAEsE`L~G@ZtE~sK+Zm$~!mw5WHVezv!>_ri<3Ku7&&LU+njK
zv&HXzV9X}Fw$5vrw(gg9#i}p(b=`EyS9!0OCG(nJ$9%H&V)tHJdoh-6?&S~b>b-t1
z+Qn<V{9)vY_sjBM{%0u6E<3#7*EO;E-^I4)Sn;n-`EI>(cA5O)=&1axqZ|H7-MU;I
z7G$0ICO>no|D|2B*4r=bd~3Y&SGe=?vR~n*&ODC$mwlBFj^0&&SF{z*IvVhCbzWXX
ziG0*;pb<wlys+E4J@Jp}N#m2Naw6(^b0hyV@Fv}WGKxJuXXj<#`1b4C(dAypH@^M4
zw%c#&S>>}UvLn9z3fns0|JbIS>RRon^UEJccs!c-=JJ-``+MWJzWfo&?Z5lS)!%XR
zTgwvrJjEBh()wdtFSU?8F#O@`AJ_LfFPzhTZ7=(!^-*8{um)~@VK=qv`uYdjw-%&)
z*E@Xq!|DqqqHc2YTjQD+tdHw^;$8eB8Bg$s+9}^ZP{Z+lkNw5EsW&s`?pw6uKL3~a
zrDaj-`772%$~(KfHkr5hWvt%h3$@v^E>-m}E!pMo_;p>S+*0PHm-f9_*X;N5N4PyK
z9@ac5zij^HKf{i#yAy#Lxcz^3M{kp5zqYA*?v=B<`5&%bYrYj6K$&}2Yszl<X1?Xz
z@|UrEb8o+l`8M;)U+smLch_pqTG*y=|8iCT%C&dx-*p{=vmULexVqh32N;>Tz%WjN
zMZ=SsPp+Ej*tcz4^Piz@V-A$Db4lga?WS+4YqOIsFHMHV!n29bu9&WY2708K?Y^mN
z(=UHqqf+Q!mU*l8{;~D9zWmW@U4HjZ*5CF1hjtqrSLwb`Dq1JEzc-+H#p(}V|771=
zc;TGu>$v8Z;cKh@F|D}uMc!*~_Vo{<Zv%{~rzZmA?u8ZCVt)Ta>m4tIuXis}-TD6}
E04&UFH2?qr

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_rainbow.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_rainbow.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..9565527aecdc16f4e7fe559c2168a5b0fb6edf9f
GIT binary patch
literal 1524
zcmbV}e^AqP7{|ZccR%<kjsYtESc*j9d7J`~MSMeq(knPLm=4DdRDNt%9LNxs8wrU4
z*WomxWpe@o60#lX1QyH?5h^+u$_7&;zz`TP1{-X{u|8i=@~-}<p6`7=_k5n``8=QJ
z{e4;ctiMBR4}|RxgD@Bf!hjF5K7>LbECw}n$D)RV(H)P&!8ih*Kv-TxTN?t=mPjDj
z*xT6Jp$0q$dpig8fHqmVip9e)-i}BhE|>hL&H58WvVpc>AQ-a^!jdpB31htrQNWz|
z<?+C<D~7?sI6Q#}#;^wk(zRfG7zRV*!Nj1N3-S<-gm>P$E0{ozj3aJKb=iG}UuxsA
zx30zYpkijbZ+u#gt)1Jt^&8whU-f$Jb#FiaHv-<=^H#{d(6IO3-+$oHM^Vw#!$)Yx
zj-N<KOiE^+OlN1D%FN>AettIZ+!y%;7cPEP{B_AUf^W;puU1r6U90~7hZ{Ggx9S@j
zWp`Tdw%u#*`1zNf`wx1Rs=j{p(D2BUKSrO9jZf%i=k$j81*6G~>OytCuz%D=0=lp$
z10t#mgFOWnOv2%}?jkq`M-t;w$=i0Hv2oeUFRg2__3%A7;~Jl)uyfn)H{_{9r7bJ_
zcfxZ1m$Fr1f9X;~4loA5gGmqqnaH7ILB)MZ&29~rbyv*PxH3I$X-~TW8JPUFS~VuD
z5qDdmyvEIBDO*jMQMDa2i!LW{!&^g^+$a5zAu;mYkrcL5(8Q0Rom4s2?AEvwv{S`^
zcE;<ers)$8H2Uz~z9eByk>YLeN`|DMeX^^|_nm(5Hc=@XSa;1#^(@m<Xqxoc@^OZ1
z5fa#G7A6Rmu3EhFq}>+prB!#w)9UOEqGFxbjG%)>r!_jJG_%dBXmLo4mT{y+j|hzQ
zQ=548j~gs0%^B{4oDqZEFyEgYV#+S$DcUt$%~@T<Bj&VJZn$Htn)c`MTNzqDBD~>a
zTJP~&U{tSMI?D5&7^LaDT-hnLS)u}2z4CTrpx+|JV|vz6F?xB2Ha2ls{H0#<fsVnM
zLtN8SDzZys-MK~l#e`s4U{@P`<M>gxQY%E+X%H{Ge3IyipCJR0psc&Ta$cPK;ndNk
zOKO>8fRwA;QH_Sj{2upqCpXuK?te-RuAG-#YGWg;j*NUXb_K+cm1~TEf(f4Lyp|mC
zcYan#@F@F`Wlg6{$jevDrkso{KKSW$Fp%TvXr$USn)qND9!haU4=AFJu_+ZzXl};l
zYUrO7Dp(g39H&~g%qJ9}qFf%Ohu_{eMbFDuH(1Eh40kW4@j9>b*_`iyFt4zi%c@my
ziYn4*KEVcYedt6`vF`BPTxVCcGFdbc(Q}POcj}Rhuex$hiB4c*IA_~_mnZG5Ij>w)
zF>2Y&C;oDSK>$FBo`Wg^iMZMYF#^bb49J$eAj@#E+!JeJv`2jkcq7#DP5w(JvgzS&
zE5y$Uyx&HT(V&284FC`|+N=^7YihWx#fz;Gb+bX*R|d8u56caJ@z~%2z<5F8tD}aQ
zsb<%qsy-9t*71$yozJ2a^5PaIMK?Q0)1H3mV1?ezge|?GYO_5jg^AMY8ebtZ5HAyf
v@EQP>PPn9Qv;;`g-BXyRChDR2rgKR`5JN$qG_PEn%M@2lWv$U6*8V>MZbHuy

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_spring.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_spring.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..ada03a160deff66b1f19022dad4e429580a94a6e
GIT binary patch
literal 1254
zcmex=<NpH&0WUXCHwH#V1_nkTWcYuZ!I^=H5d=Ua69}*{gGg2u7G@SURyH;;X6NK!
zW9MXNW8>iF;N$`UAd82aiwDF383NJD#LCRf%Eivc4pu@E@&5pWAP0jSBLg#|5(ASU
zBeNjm|04|YKzFi&od<L*1TZo&v#_$U1D(MQRIpV5=zL~oprcuVE(WTu1<Et92(k((
z8alEG2PU#B6^a-&PF%>L?6mQqXwbzED#l4gO`Kd};u4Zls%q*Qnp!5NX66=_R?aT2
zZtfnQUcn)uVc`*xQOPN(Y3Ui6S;Zx#W#tu>Rn0A}ZS5VMU6UqHnL2IyjG40*Enc#8
z+42=DS8dw7W$U)>J9h3mboj{8W5-XNJay^vm8;jT-?(|};iJb-o<4j2;^nK4pFV&2
z`tAFVpT9u<0{IgLu=-07=r1Nv9I%7@#mH0+#LR*$tcr$gLXLs#iG{*SMvWXIP7@by
zJjkhR9P~jnspuk?n2O0m)sG;rfqh1t$C}9U8QfzCf8Ao>VP*tI9<v~WJ;SHnaaZg3
znpQ-8Tm7L#^xvGv-_w6PM<@N=nh_mV3napiCZE^Z_Vjh!)rHx&HovV7Yh9o9V@-YV
z$+cJZ=0=HKoev^DM*LeoH9F~!tZV$%w;>9zwEhAW&8d76_9`R#%O9<;TLZVh{1N&Z
ztnt*^jSF+b-~Re%>U3-U?XQ2bA8mX-HM$6>V}Jhj539uXuKK$_{?I;c`Q0|N?s|W_
zx-kFp$2GsRE&xrqe&q4Dbf7(7*JoYW`Zn_0-qlXmx7LK&e9A7>j}B|yntmHd)P&iW
zRhn+oKX@hdcidGczD4VAeOupkd|qhoX`lz|Zmn><5c(VFI<OZmY+HS8@2cLdaa-TU
zi}t^&4Bcj;TOInlZhvdQ*0&%>ihhjvd~#j<wzb@K^Ls(&@Ap5pPhI}Xr|g_Mkz3#}
z1G*u;dBOVM^2gtu|0=ZYDA29jKn~spwe=d<nd!H_t>umbht%Zgl~uR4=&rT{5sx<h
z_1D^V^oLc~{%oMzz>fZC@%hBsD<B^O!)$T><qxZ`L4!CM5@uPgTjRIC{&5`=H$ZRJ
z-CzGO1nP1~0PLFncD2*}<&PsFA-KNt_#0q69z~1C$|u)e#Q{B+bsj|gSX1`~=&|_b
z6|2APUDX1PO<=Itthzn@!3(XwTLYRGtp0ZOqs71FKra9zacy;|bk^SNTfoS=@@aKW
r1~3hM`&-WiOemm;)doiF<e2@y^zqkT3S>So1Z({4S3bFR<Nr+noDn_I

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_summer.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_summer.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..10cb35cfec39c572271b2ba1594d7e802ce47738
GIT binary patch
literal 1345
zcmbV~eM}Q)9LMi^?ezr~tcu(CV~teN!B`@~UP@YmV$qUxf!Sj{lP1cryLOnUPzR(-
zl<DRYW0)(h8iop8DeZ+|Uz`rIxw$zz7o@MW%w$a2D2@nN=<GJS=egGHkL{0bzso(j
z%YA>p=lglSml{ufkE~G0cgPVGMGzERNNNJvim*^vaAm<_V{qlL*%%w=;5c)0`8=G<
z=i)doi^mth0#Dglf^7H#hooCs91P<KxHy-Q{HG=L86xB%PoW5g<|8a2iV4xwHADn_
zau|ESY`Rbu#^&H$U?U3%+$(^63<IV)z%fu8!FPl$<g8q~sS;mRyPKQ8e|5>>&htF+
zmZ7V;bz^huHt#ubgfCe0_!Cd&tuNTH@#(_Svge+E;YG>Ts%`S>?K>1N?^F@>uc*m}
zR~z?gU!!yfn_CQr-e_&>c<bn~x8FJb?t7=+H+7x<z<lOHZ=dBOYrk#aqSNK}T>AL(
zmCwJp_T^XCzrNx1`2)dFcsvrF{Nc{ssULruj?K(3JcutYC4PCBgj|sGQT-#A5OA?z
z23*L6vJQb86S6sLH{mNQYq`7kugWhu%v-&s^Zd|NzIb!pT<)F&V}dp7N+;LPLo|l$
z-+>+ZUu1uR{lyhUvN05dhY67i<l!;@{Wr@j`lz!>mbgO_BlZYA^qaUU;GQK3BiH9_
zY9~xRmGQyCq1agI&&iWC6<u<CBkR3K8b<71`f{wUtT-)kOlX1@?JZ-`4H{^tsmSk>
zP*XB`U*LDoYE%urJ{{RCBK^*3naNDuGU}D1=aTiOcG+USQd)A-!c127#$Z=^2BY^~
zbWA8a?vaFQiuf*W%QJLW`&_f_M5DDfPM2$fQ^ZVL^NI3`D@DrD{$!}J=XS1D8!+lK
zHli&e1=wHRm2Rsy?K<e|1Lnp^gRwf~d}eu?E(bUo)jq3ryANP@jo6<JyLIH!V1ehl
zrKSP8B)WTQ7Xfw$FbBGZ2PQu37AqK);}cELrjHH}+<r-U+zR;>fcRSoY0)N*ww8IM
zg&Q7FRN~V-FkS8GX`iQyG{NO_q45+V*?0zQr+_;&4eETbX^N0a3gC8-%?v@5VRx(Q
zlC)56$w<!Xqb^4>#{y?dq>q(X3>N{-UUmAwy^gk>Cu-n{8DN0Lk{p_f#6^k)eT!5g
zH)T%EOa+XvD>H-96RNW?7KIn`nZ!zeKL8)p-E_^!Ox6ryr&XKSMnx7y<W1+V7hLd<
zcw{3JT}h^G!M+a|`Fk#2IuMWL5hM1xu)8t3MAvA7cSGZG+v|)=zjH?BHp63tX@)^s
l{yvIiRHyY(cX2xi(8m0VITi{Kt33eH<yf9$(yB^D{s0(QS+4*9

literal 0
HcmV?d00001

diff --git a/modules/imgproc/doc/pics/colormaps/colorscale_winter.jpg b/modules/imgproc/doc/pics/colormaps/colorscale_winter.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..f7753548fc8799c4002be2f03a929bb9521a08fc
GIT binary patch
literal 1238
zcmex=<NpH&0WUXCHwH#V1_nkTWcYuZ!I^=H5d=Ua69}*{gGg2u7G@SURyH;;X6NK!
zW9MXNW8>iF;N$`UAd82aiwDF383NJD#LCRf%Eivc4pu@E@&5pWAP0jSBLg#|5(ASU
zBeNjm|04|YKzFi&od<L*1TZo&v#_$U1D(MQRIpV5=zL~oprcuVE(WTu1<Et92(k((
z8alEG2PU#B6^a-&PF%>L?6mQqXwbzED#l4gO`Kd};u4Zls%q*Qnp!5NX66=_R?aT2
zZtfnQUcn)uVc`*xQOPN(Y3Ui6S;Zx#W#tu>Rn0A}ZS5VMU6UqHnL2IyjG40*Enc#8
z+42=DS8dw7W$U)>J9h3mboj{8W5-XNJay^vm8;jT-?(|};iJb-o<4j2;^nK4pFV&2
z`tAFVpT9u<0{IgLu=-07=r1Nv9I%7@#mH0+#LR*$tcr$gLXLs#iG{*SMvWXIP7@by
zJjkhR9P~jnspuk?n2O0m)sG;rfqh1t$C}9U8QfzCf8Ao>VP*tI9<v~WJ;R^st#6~m
z_O7<OzBME2+xqXDMX&s6+PO40O6=-<5b-%;ZNJ>krP;T(=vIf-uFtx#^=-Uq*PV~A
zXN6r|m>c;GNW>d=y{h<nR@$%mb(GoO)mE1m{JPe=KI`Y2z{l53a;x~4X50=dUGMm1
zt#sDUGm${Cwbfy*>$A>7EPhrPJ<qn-?J`)^a<7Zq*3UdzYE$*BcX`yst#2c*&CPbZ
zzP09>cJlFc8MjJ+W}MsdGRh3(uJckG7iM3n&Gx#!HSN|{`KU`kr-7Vu^_z*VRsYh=
z=&;=7fnU~Y16>k!yg%l`wzb-ES7+x&h3#GaY$M20r|Vlmiq>acf?3+SH8bkln%h|r
zqiz6w2@D#qTbpyM!=`Snxd(DYy&cexK%MEgzOChsyZWEO^~Sp8zplny+P0QE>pX~n
zSO+u$DO_hA%>xFJcGiV$YkmU>xE~$Au9c3vIydt|EySA|Kr7AmvR~SgyV~mdf?r|1
zTWg-_fC3xY&d(NW&&%yxoC#J13b^nyk9L6rac#z}Z);xrZC#vwYhSkLMo{=$0nJE{
z0tFn<UC(<XE^K{ew-p$ln{%uB*8+VDc1qT7DY3ckm$s~3ZFYIZFOXj$0UjMTb$!-Z
zaKM2ATyEz=U_t;Y0tFn@QYWB5byzMa;DAQu0DTDzm8H3n+du)gFCXLx`~Noqs$?G=

literal 0
HcmV?d00001

diff --git a/modules/imgproc/include/opencv2/imgproc.hpp b/modules/imgproc/include/opencv2/imgproc.hpp
index 76d65c2802..286938cdd2 100644
--- a/modules/imgproc/include/opencv2/imgproc.hpp
+++ b/modules/imgproc/include/opencv2/imgproc.hpp
@@ -1518,6 +1518,24 @@ CV_EXPORTS Ptr<GeneralizedHoughGuil> createGeneralizedHoughGuil();
 //! Performs linear blending of two images
 CV_EXPORTS void blendLinear(InputArray src1, InputArray src2, InputArray weights1, InputArray weights2, OutputArray dst);
 
+enum
+{
+    COLORMAP_AUTUMN = 0,
+    COLORMAP_BONE = 1,
+    COLORMAP_JET = 2,
+    COLORMAP_WINTER = 3,
+    COLORMAP_RAINBOW = 4,
+    COLORMAP_OCEAN = 5,
+    COLORMAP_SUMMER = 6,
+    COLORMAP_SPRING = 7,
+    COLORMAP_COOL = 8,
+    COLORMAP_HSV = 9,
+    COLORMAP_PINK = 10,
+    COLORMAP_HOT = 11
+};
+
+CV_EXPORTS_W void applyColorMap(InputArray src, OutputArray dst, int colormap);
+
 } // cv
 
 #endif
diff --git a/modules/imgproc/src/colormap.cpp b/modules/imgproc/src/colormap.cpp
new file mode 100644
index 0000000000..08ff44a5c6
--- /dev/null
+++ b/modules/imgproc/src/colormap.cpp
@@ -0,0 +1,530 @@
+/*
+ * Copyright (c) 2011. Philipp Wagner <bytefish[at]gmx[dot]de>.
+ * Released to public domain under terms of the BSD Simplified license.
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *   * Redistributions of source code must retain the above copyright
+ *     notice, this list of conditions and the following disclaimer.
+ *   * Redistributions in binary form must reproduce the above copyright
+ *     notice, this list of conditions and the following disclaimer in the
+ *     documentation and/or other materials provided with the distribution.
+ *   * Neither the name of the organization nor the names of its contributors
+ *     may be used to endorse or promote products derived from this software
+ *     without specific prior written permission.
+ *
+ *   See <http://www.opensource.org/licenses/bsd-license>
+ */
+#include "precomp.hpp"
+#include <iostream>
+
+#ifdef _MSC_VER
+#pragma warning( disable: 4305 )
+#endif
+
+namespace cv
+{
+
+static Mat linspace(float x0, float x1, int n)
+{
+    Mat pts(n, 1, CV_32FC1);
+    float step = (x1-x0)/(n-1);
+    for(int i = 0; i < n; i++)
+        pts.at<float>(i,0) = x0+i*step;
+    return pts;
+}
+
+//------------------------------------------------------------------------------
+// cv::sortMatrixRowsByIndices
+//------------------------------------------------------------------------------
+static void sortMatrixRowsByIndices(InputArray _src, InputArray _indices, OutputArray _dst)
+{
+    if(_indices.getMat().type() != CV_32SC1)
+        CV_Error(Error::StsUnsupportedFormat, "cv::sortRowsByIndices only works on integer indices!");
+    Mat src = _src.getMat();
+    std::vector<int> indices = _indices.getMat();
+    _dst.create(src.rows, src.cols, src.type());
+    Mat dst = _dst.getMat();
+    for(size_t idx = 0; idx < indices.size(); idx++) {
+        Mat originalRow = src.row(indices[idx]);
+        Mat sortedRow = dst.row((int)idx);
+        originalRow.copyTo(sortedRow);
+    }
+}
+
+static Mat sortMatrixRowsByIndices(InputArray src, InputArray indices)
+{
+    Mat dst;
+    sortMatrixRowsByIndices(src, indices, dst);
+    return dst;
+}
+
+
+static Mat argsort(InputArray _src, bool ascending=true)
+{
+    Mat src = _src.getMat();
+    if (src.rows != 1 && src.cols != 1)
+        CV_Error(Error::StsBadArg, "cv::argsort only sorts 1D matrices.");
+    int flags = SORT_EVERY_ROW | (ascending ? SORT_ASCENDING : SORT_DESCENDING);
+    Mat sorted_indices;
+    sortIdx(src.reshape(1,1),sorted_indices,flags);
+    return sorted_indices;
+}
+
+template <typename _Tp> static
+Mat interp1_(const Mat& X_, const Mat& Y_, const Mat& XI)
+{
+    int n = XI.rows;
+    // sort input table
+    std::vector<int> sort_indices = argsort(X_);
+
+    Mat X = sortMatrixRowsByIndices(X_,sort_indices);
+    Mat Y = sortMatrixRowsByIndices(Y_,sort_indices);
+    // interpolated values
+    Mat yi = Mat::zeros(XI.size(), XI.type());
+    for(int i = 0; i < n; i++) {
+        int c = 0;
+        int low = 0;
+        int high = X.rows - 1;
+        // set bounds
+        if(XI.at<_Tp>(i,0) < X.at<_Tp>(low, 0))
+            high = 1;
+        if(XI.at<_Tp>(i,0) > X.at<_Tp>(high, 0))
+            low = high - 1;
+        // binary search
+        while((high-low)>1) {
+            c = low + ((high - low) >> 1);
+            if(XI.at<_Tp>(i,0) > X.at<_Tp>(c,0)) {
+                low = c;
+            } else {
+                high = c;
+            }
+        }
+        // linear interpolation
+        yi.at<_Tp>(i,0) += Y.at<_Tp>(low,0)
+        + (XI.at<_Tp>(i,0) - X.at<_Tp>(low,0))
+        * (Y.at<_Tp>(high,0) - Y.at<_Tp>(low,0))
+        / (X.at<_Tp>(high,0) - X.at<_Tp>(low,0));
+    }
+    return yi;
+}
+
+static Mat interp1(InputArray _x, InputArray _Y, InputArray _xi)
+{
+    // get matrices
+    Mat x = _x.getMat();
+    Mat Y = _Y.getMat();
+    Mat xi = _xi.getMat();
+    // check types & alignment
+    CV_Assert((x.type() == Y.type()) && (Y.type() == xi.type()));
+    CV_Assert((x.cols == 1) && (x.rows == Y.rows) && (x.cols == Y.cols));
+    // call templated interp1
+    switch(x.type()) {
+        case CV_8SC1: return interp1_<char>(x,Y,xi); break;
+        case CV_8UC1: return interp1_<unsigned char>(x,Y,xi); break;
+        case CV_16SC1: return interp1_<short>(x,Y,xi); break;
+        case CV_16UC1: return interp1_<unsigned short>(x,Y,xi); break;
+        case CV_32SC1: return interp1_<int>(x,Y,xi); break;
+        case CV_32FC1: return interp1_<float>(x,Y,xi); break;
+        case CV_64FC1: return interp1_<double>(x,Y,xi); break;
+        default: CV_Error(Error::StsUnsupportedFormat, ""); break;
+    }
+    return Mat();
+}
+
+namespace colormap
+{
+
+    class ColorMap {
+
+    protected:
+        Mat _lut;
+
+    public:
+        virtual ~ColorMap() {}
+
+        // Applies the colormap on a given image.
+        //
+        // This function expects BGR-aligned data of type CV_8UC1 or
+        // CV_8UC3. If the wrong image type is given, the original image
+        // will be returned.
+        //
+        // Throws an error for wrong-aligned lookup table, which must be
+        // of size 256 in the latest OpenCV release (2.3.1).
+        void operator()(InputArray src, OutputArray dst) const;
+
+        // Setup base map to interpolate from.
+        virtual void init(int n) = 0;
+
+        // Interpolates from a base colormap.
+        static Mat linear_colormap(InputArray X,
+                InputArray r, InputArray g, InputArray b,
+                int n) {
+            return linear_colormap(X,r,g,b,linspace(0,1,n));
+        }
+
+        // Interpolates from a base colormap.
+        static Mat linear_colormap(InputArray X,
+                InputArray r, InputArray g, InputArray b,
+                float begin, float end, float n) {
+            return linear_colormap(X,r,g,b,linspace(begin,end, cvRound(n)));
+        }
+
+        // Interpolates from a base colormap.
+        static Mat linear_colormap(InputArray X,
+                InputArray r, InputArray g, InputArray b,
+                InputArray xi);
+    };
+
+    // Equals the GNU Octave colormap "autumn".
+    class Autumn : public ColorMap {
+    public:
+        Autumn() : ColorMap() {
+            init(256);
+        }
+
+        Autumn(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            float g[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
+            float b[] = {  0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    // Equals the GNU Octave colormap "bone".
+    class Bone : public ColorMap {
+    public:
+        Bone() : ColorMap() {
+            init(256);
+        }
+
+        Bone(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 0, 0.01388888888888889, 0.02777777777777778, 0.04166666666666666, 0.05555555555555555, 0.06944444444444445, 0.08333333333333333, 0.09722222222222221, 0.1111111111111111, 0.125, 0.1388888888888889, 0.1527777777777778, 0.1666666666666667, 0.1805555555555556, 0.1944444444444444, 0.2083333333333333, 0.2222222222222222, 0.2361111111111111, 0.25, 0.2638888888888889, 0.2777777777777778, 0.2916666666666666, 0.3055555555555555, 0.3194444444444444, 0.3333333333333333, 0.3472222222222222, 0.3611111111111111, 0.375, 0.3888888888888888, 0.4027777777777777, 0.4166666666666666, 0.4305555555555555, 0.4444444444444444, 0.4583333333333333, 0.4722222222222222, 0.4861111111111112, 0.5, 0.5138888888888888, 0.5277777777777778, 0.5416666666666667, 0.5555555555555556, 0.5694444444444444, 0.5833333333333333, 0.5972222222222222, 0.611111111111111, 0.6249999999999999, 0.6388888888888888, 0.6527777777777778, 0.6726190476190474, 0.6944444444444442, 0.7162698412698412, 0.7380952380952381, 0.7599206349206349, 0.7817460317460316, 0.8035714285714286, 0.8253968253968254, 0.8472222222222221, 0.8690476190476188, 0.8908730158730158, 0.9126984126984128, 0.9345238095238095, 0.9563492063492063, 0.978174603174603, 1};
+            float g[] = { 0, 0.01388888888888889, 0.02777777777777778, 0.04166666666666666, 0.05555555555555555, 0.06944444444444445, 0.08333333333333333, 0.09722222222222221, 0.1111111111111111, 0.125, 0.1388888888888889, 0.1527777777777778, 0.1666666666666667, 0.1805555555555556, 0.1944444444444444, 0.2083333333333333, 0.2222222222222222, 0.2361111111111111, 0.25, 0.2638888888888889, 0.2777777777777778, 0.2916666666666666, 0.3055555555555555, 0.3194444444444444, 0.3353174603174602, 0.3544973544973544, 0.3736772486772486, 0.3928571428571428, 0.412037037037037, 0.4312169312169312, 0.4503968253968254, 0.4695767195767195, 0.4887566137566137, 0.5079365079365078, 0.5271164021164021, 0.5462962962962963, 0.5654761904761904, 0.5846560846560845, 0.6038359788359787, 0.623015873015873, 0.6421957671957671, 0.6613756613756612, 0.6805555555555555, 0.6997354497354497, 0.7189153439153438, 0.7380952380952379, 0.7572751322751322, 0.7764550264550264, 0.7916666666666666, 0.8055555555555555, 0.8194444444444444, 0.8333333333333334, 0.8472222222222222, 0.861111111111111, 0.875, 0.8888888888888888, 0.9027777777777777, 0.9166666666666665, 0.9305555555555555, 0.9444444444444444, 0.9583333333333333, 0.9722222222222221, 0.986111111111111, 1};
+            float b[] = { 0, 0.01917989417989418, 0.03835978835978836, 0.05753968253968253, 0.07671957671957672, 0.09589947089947089, 0.1150793650793651, 0.1342592592592592, 0.1534391534391534, 0.1726190476190476, 0.1917989417989418, 0.210978835978836, 0.2301587301587301, 0.2493386243386243, 0.2685185185185185, 0.2876984126984127, 0.3068783068783069, 0.326058201058201, 0.3452380952380952, 0.3644179894179894, 0.3835978835978835, 0.4027777777777777, 0.4219576719576719, 0.4411375661375661, 0.4583333333333333, 0.4722222222222222, 0.4861111111111111, 0.5, 0.5138888888888888, 0.5277777777777777, 0.5416666666666666, 0.5555555555555556, 0.5694444444444444, 0.5833333333333333, 0.5972222222222222, 0.6111111111111112, 0.625, 0.6388888888888888, 0.6527777777777778, 0.6666666666666667, 0.6805555555555556, 0.6944444444444444, 0.7083333333333333, 0.7222222222222222, 0.736111111111111, 0.7499999999999999, 0.7638888888888888, 0.7777777777777778, 0.7916666666666666, 0.8055555555555555, 0.8194444444444444, 0.8333333333333334, 0.8472222222222222, 0.861111111111111, 0.875, 0.8888888888888888, 0.9027777777777777, 0.9166666666666665, 0.9305555555555555, 0.9444444444444444, 0.9583333333333333, 0.9722222222222221, 0.986111111111111, 1};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+
+
+
+    // Equals the GNU Octave colormap "jet".
+    class Jet : public ColorMap {
+
+    public:
+        Jet() {
+            init(256);
+        }
+        Jet(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            // breakpoints
+            Mat X = linspace(0,1,256);
+            // define the basemap
+            float r[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.00588235294117645,0.02156862745098032,0.03725490196078418,0.05294117647058827,0.06862745098039214,0.084313725490196,0.1000000000000001,0.115686274509804,0.1313725490196078,0.1470588235294117,0.1627450980392156,0.1784313725490196,0.1941176470588235,0.2098039215686274,0.2254901960784315,0.2411764705882353,0.2568627450980392,0.2725490196078431,0.2882352941176469,0.303921568627451,0.3196078431372549,0.3352941176470587,0.3509803921568628,0.3666666666666667,0.3823529411764706,0.3980392156862744,0.4137254901960783,0.4294117647058824,0.4450980392156862,0.4607843137254901,0.4764705882352942,0.4921568627450981,0.5078431372549019,0.5235294117647058,0.5392156862745097,0.5549019607843135,0.5705882352941174,0.5862745098039217,0.6019607843137256,0.6176470588235294,0.6333333333333333,0.6490196078431372,0.664705882352941,0.6803921568627449,0.6960784313725492,0.7117647058823531,0.7274509803921569,0.7431372549019608,0.7588235294117647,0.7745098039215685,0.7901960784313724,0.8058823529411763,0.8215686274509801,0.8372549019607844,0.8529411764705883,0.8686274509803922,0.884313725490196,0.8999999999999999,0.9156862745098038,0.9313725490196076,0.947058823529412,0.9627450980392158,0.9784313725490197,0.9941176470588236,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9862745098039216,0.9705882352941178,0.9549019607843139,0.93921568627451,0.9235294117647062,0.9078431372549018,0.892156862745098,0.8764705882352941,0.8607843137254902,0.8450980392156864,0.8294117647058825,0.8137254901960786,0.7980392156862743,0.7823529411764705,0.7666666666666666,0.7509803921568627,0.7352941176470589,0.719607843137255,0.7039215686274511,0.6882352941176473,0.6725490196078434,0.6568627450980391,0.6411764705882352,0.6254901960784314,0.6098039215686275,0.5941176470588236,0.5784313725490198,0.5627450980392159,0.5470588235294116,0.5313725490196077,0.5156862745098039,0.5};
+            float g[] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.001960784313725483,0.01764705882352935,0.03333333333333333,0.0490196078431373,0.06470588235294117,0.08039215686274503,0.09607843137254901,0.111764705882353,0.1274509803921569,0.1431372549019607,0.1588235294117647,0.1745098039215687,0.1901960784313725,0.2058823529411764,0.2215686274509804,0.2372549019607844,0.2529411764705882,0.2686274509803921,0.2843137254901961,0.3,0.3156862745098039,0.3313725490196078,0.3470588235294118,0.3627450980392157,0.3784313725490196,0.3941176470588235,0.4098039215686274,0.4254901960784314,0.4411764705882353,0.4568627450980391,0.4725490196078431,0.4882352941176471,0.503921568627451,0.5196078431372548,0.5352941176470587,0.5509803921568628,0.5666666666666667,0.5823529411764705,0.5980392156862746,0.6137254901960785,0.6294117647058823,0.6450980392156862,0.6607843137254901,0.6764705882352942,0.692156862745098,0.7078431372549019,0.723529411764706,0.7392156862745098,0.7549019607843137,0.7705882352941176,0.7862745098039214,0.8019607843137255,0.8176470588235294,0.8333333333333333,0.8490196078431373,0.8647058823529412,0.8803921568627451,0.8960784313725489,0.9117647058823528,0.9274509803921569,0.9431372549019608,0.9588235294117646,0.9745098039215687,0.9901960784313726,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9901960784313726,0.9745098039215687,0.9588235294117649,0.943137254901961,0.9274509803921571,0.9117647058823528,0.8960784313725489,0.8803921568627451,0.8647058823529412,0.8490196078431373,0.8333333333333335,0.8176470588235296,0.8019607843137253,0.7862745098039214,0.7705882352941176,0.7549019607843137,0.7392156862745098,0.723529411764706,0.7078431372549021,0.6921568627450982,0.6764705882352944,0.6607843137254901,0.6450980392156862,0.6294117647058823,0.6137254901960785,0.5980392156862746,0.5823529411764707,0.5666666666666669,0.5509803921568626,0.5352941176470587,0.5196078431372548,0.503921568627451,0.4882352941176471,0.4725490196078432,0.4568627450980394,0.4411764705882355,0.4254901960784316,0.4098039215686273,0.3941176470588235,0.3784313725490196,0.3627450980392157,0.3470588235294119,0.331372549019608,0.3156862745098041,0.2999999999999998,0.284313725490196,0.2686274509803921,0.2529411764705882,0.2372549019607844,0.2215686274509805,0.2058823529411766,0.1901960784313728,0.1745098039215689,0.1588235294117646,0.1431372549019607,0.1274509803921569,0.111764705882353,0.09607843137254912,0.08039215686274526,0.06470588235294139,0.04901960784313708,0.03333333333333321,0.01764705882352935,0.001960784313725483,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
+            float b[] = {0.5,0.5156862745098039,0.5313725490196078,0.5470588235294118,0.5627450980392157,0.5784313725490196,0.5941176470588235,0.6098039215686275,0.6254901960784314,0.6411764705882352,0.6568627450980392,0.6725490196078432,0.6882352941176471,0.7039215686274509,0.7196078431372549,0.7352941176470589,0.7509803921568627,0.7666666666666666,0.7823529411764706,0.7980392156862746,0.8137254901960784,0.8294117647058823,0.8450980392156863,0.8607843137254902,0.8764705882352941,0.892156862745098,0.907843137254902,0.9235294117647059,0.9392156862745098,0.9549019607843137,0.9705882352941176,0.9862745098039216,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0.9941176470588236,0.9784313725490197,0.9627450980392158,0.9470588235294117,0.9313725490196079,0.915686274509804,0.8999999999999999,0.884313725490196,0.8686274509803922,0.8529411764705883,0.8372549019607844,0.8215686274509804,0.8058823529411765,0.7901960784313726,0.7745098039215685,0.7588235294117647,0.7431372549019608,0.7274509803921569,0.7117647058823531,0.696078431372549,0.6803921568627451,0.6647058823529413,0.6490196078431372,0.6333333333333333,0.6176470588235294,0.6019607843137256,0.5862745098039217,0.5705882352941176,0.5549019607843138,0.5392156862745099,0.5235294117647058,0.5078431372549019,0.4921568627450981,0.4764705882352942,0.4607843137254903,0.4450980392156865,0.4294117647058826,0.4137254901960783,0.3980392156862744,0.3823529411764706,0.3666666666666667,0.3509803921568628,0.335294117647059,0.3196078431372551,0.3039215686274508,0.2882352941176469,0.2725490196078431,0.2568627450980392,0.2411764705882353,0.2254901960784315,0.2098039215686276,0.1941176470588237,0.1784313725490199,0.1627450980392156,0.1470588235294117,0.1313725490196078,0.115686274509804,0.1000000000000001,0.08431372549019622,0.06862745098039236,0.05294117647058805,0.03725490196078418,0.02156862745098032,0.00588235294117645,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
+            // now build lookup table
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(256,1, CV_32FC1, r).clone(), // red
+                    Mat(256,1, CV_32FC1, g).clone(), // green
+                    Mat(256,1, CV_32FC1, b).clone(), // blue
+                    n);
+        }
+    };
+
+    // Equals the GNU Octave colormap "winter".
+    class Winter : public ColorMap {
+    public:
+        Winter() : ColorMap() {
+            init(256);
+        }
+
+        Winter(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = {0.0, 0.0,  0.0, 0.0,  0.0, 0.0,  0.0, 0.0,  0.0, 0.0,  0.0};
+            float g[] = {0.0, 0.1,  0.2, 0.3,  0.4, 0.5,  0.6, 0.7,  0.8, 0.9,  1.0};
+            float b[] = {1.0, 0.95, 0.9, 0.85, 0.8, 0.75, 0.7, 0.65, 0.6, 0.55, 0.5};
+            Mat X = linspace(0,1,11);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(11,1, CV_32FC1, r).clone(), // red
+                    Mat(11,1, CV_32FC1, g).clone(), // green
+                    Mat(11,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    // Equals the GNU Octave colormap "rainbow".
+    class Rainbow : public ColorMap {
+    public:
+        Rainbow() : ColorMap() {
+            init(256);
+        }
+
+        Rainbow(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9365079365079367, 0.8571428571428572, 0.7777777777777777, 0.6984126984126986, 0.6190476190476191, 0.53968253968254, 0.4603174603174605, 0.3809523809523814, 0.3015873015873018, 0.2222222222222223, 0.1428571428571432, 0.06349206349206415, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603208, 0.08465608465608465, 0.1375661375661377, 0.1904761904761907, 0.2433862433862437, 0.2962962962962963, 0.3492063492063493, 0.4021164021164023, 0.4550264550264553, 0.5079365079365079, 0.5608465608465609, 0.6137566137566139, 0.666666666666667};
+            float g[] = { 0, 0.03968253968253968, 0.07936507936507936, 0.119047619047619, 0.1587301587301587, 0.1984126984126984, 0.2380952380952381, 0.2777777777777778, 0.3174603174603174, 0.3571428571428571, 0.3968253968253968, 0.4365079365079365, 0.4761904761904762, 0.5158730158730158, 0.5555555555555556, 0.5952380952380952, 0.6349206349206349, 0.6746031746031745, 0.7142857142857142, 0.753968253968254, 0.7936507936507936, 0.8333333333333333, 0.873015873015873, 0.9126984126984127, 0.9523809523809523, 0.992063492063492, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9841269841269842, 0.9047619047619047, 0.8253968253968256, 0.7460317460317465, 0.666666666666667, 0.587301587301587, 0.5079365079365079, 0.4285714285714288, 0.3492063492063493, 0.2698412698412698, 0.1904761904761907, 0.1111111111111116, 0.03174603174603208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+            float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.01587301587301582, 0.09523809523809534, 0.1746031746031744, 0.2539682539682535, 0.333333333333333, 0.412698412698413, 0.4920634920634921, 0.5714285714285712, 0.6507936507936507, 0.7301587301587302, 0.8095238095238093, 0.8888888888888884, 0.9682539682539679, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    // Equals the GNU Octave colormap "ocean".
+    class Ocean : public ColorMap {
+    public:
+        Ocean() : ColorMap() {
+            init(256);
+        }
+
+        Ocean(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904762, 0.09523809523809523, 0.1428571428571428, 0.1904761904761905, 0.2380952380952381, 0.2857142857142857, 0.3333333333333333, 0.3809523809523809, 0.4285714285714285, 0.4761904761904762, 0.5238095238095238, 0.5714285714285714, 0.6190476190476191, 0.6666666666666666, 0.7142857142857143, 0.7619047619047619, 0.8095238095238095, 0.8571428571428571, 0.9047619047619048, 0.9523809523809523, 1};
+            float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.02380952380952381, 0.04761904761904762, 0.07142857142857142, 0.09523809523809523, 0.119047619047619, 0.1428571428571428, 0.1666666666666667, 0.1904761904761905, 0.2142857142857143, 0.2380952380952381, 0.2619047619047619, 0.2857142857142857, 0.3095238095238095, 0.3333333333333333, 0.3571428571428572, 0.3809523809523809, 0.4047619047619048, 0.4285714285714285, 0.4523809523809524, 0.4761904761904762, 0.5, 0.5238095238095238, 0.5476190476190477, 0.5714285714285714, 0.5952380952380952, 0.6190476190476191, 0.6428571428571429, 0.6666666666666666, 0.6904761904761905, 0.7142857142857143, 0.7380952380952381, 0.7619047619047619, 0.7857142857142857, 0.8095238095238095, 0.8333333333333334, 0.8571428571428571, 0.8809523809523809, 0.9047619047619048, 0.9285714285714286, 0.9523809523809523, 0.9761904761904762, 1};
+            float b[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    // Equals the GNU Octave colormap "summer".
+    class Summer : public ColorMap {
+    public:
+        Summer() : ColorMap() {
+            init(256);
+        }
+
+        Summer(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
+            float g[] = { 0.5, 0.5079365079365079, 0.5158730158730158, 0.5238095238095238, 0.5317460317460317, 0.5396825396825397, 0.5476190476190477, 0.5555555555555556, 0.5634920634920635, 0.5714285714285714, 0.5793650793650793, 0.5873015873015873, 0.5952380952380952, 0.6031746031746031, 0.6111111111111112, 0.6190476190476191, 0.626984126984127, 0.6349206349206349, 0.6428571428571428, 0.6507936507936508, 0.6587301587301587, 0.6666666666666666, 0.6746031746031746, 0.6825396825396826, 0.6904761904761905, 0.6984126984126984, 0.7063492063492063, 0.7142857142857143, 0.7222222222222222, 0.7301587301587301, 0.7380952380952381, 0.746031746031746, 0.753968253968254, 0.7619047619047619, 0.7698412698412698, 0.7777777777777778, 0.7857142857142857, 0.7936507936507937, 0.8015873015873016, 0.8095238095238095, 0.8174603174603174, 0.8253968253968254, 0.8333333333333333, 0.8412698412698413, 0.8492063492063492, 0.8571428571428572, 0.8650793650793651, 0.873015873015873, 0.8809523809523809, 0.8888888888888888, 0.8968253968253967, 0.9047619047619048, 0.9126984126984127, 0.9206349206349207, 0.9285714285714286, 0.9365079365079365, 0.9444444444444444, 0.9523809523809523, 0.9603174603174602, 0.9682539682539683, 0.9761904761904762, 0.9841269841269842, 0.9920634920634921, 1};
+            float b[] = { 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    // Equals the GNU Octave colormap "spring".
+    class Spring : public ColorMap {
+    public:
+        Spring() : ColorMap() {
+            init(256);
+        }
+
+        Spring(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            float g[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
+            float b[] = { 1, 0.9841269841269842, 0.9682539682539683, 0.9523809523809523, 0.9365079365079365, 0.9206349206349207, 0.9047619047619048, 0.8888888888888888, 0.873015873015873, 0.8571428571428572, 0.8412698412698413, 0.8253968253968254, 0.8095238095238095, 0.7936507936507937, 0.7777777777777778, 0.7619047619047619, 0.746031746031746, 0.7301587301587302, 0.7142857142857143, 0.6984126984126984, 0.6825396825396826, 0.6666666666666667, 0.6507936507936508, 0.6349206349206349, 0.6190476190476191, 0.6031746031746033, 0.5873015873015873, 0.5714285714285714, 0.5555555555555556, 0.5396825396825398, 0.5238095238095238, 0.5079365079365079, 0.4920634920634921, 0.4761904761904762, 0.4603174603174603, 0.4444444444444444, 0.4285714285714286, 0.4126984126984127, 0.3968253968253969, 0.3809523809523809, 0.3650793650793651, 0.3492063492063492, 0.3333333333333334, 0.3174603174603174, 0.3015873015873016, 0.2857142857142857, 0.2698412698412699, 0.253968253968254, 0.2380952380952381, 0.2222222222222222, 0.2063492063492064, 0.1904761904761905, 0.1746031746031746, 0.1587301587301587, 0.1428571428571429, 0.126984126984127, 0.1111111111111112, 0.09523809523809523, 0.07936507936507942, 0.06349206349206349, 0.04761904761904767, 0.03174603174603174, 0.01587301587301593, 0};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    // Equals the GNU Octave colormap "cool".
+    class Cool : public ColorMap {
+    public:
+        Cool() : ColorMap() {
+            init(256);
+        }
+
+        Cool(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 0, 0.01587301587301587, 0.03174603174603174, 0.04761904761904762, 0.06349206349206349, 0.07936507936507936, 0.09523809523809523, 0.1111111111111111, 0.126984126984127, 0.1428571428571428, 0.1587301587301587, 0.1746031746031746, 0.1904761904761905, 0.2063492063492063, 0.2222222222222222, 0.2380952380952381, 0.253968253968254, 0.2698412698412698, 0.2857142857142857, 0.3015873015873016, 0.3174603174603174, 0.3333333333333333, 0.3492063492063492, 0.3650793650793651, 0.3809523809523809, 0.3968253968253968, 0.4126984126984127, 0.4285714285714285, 0.4444444444444444, 0.4603174603174603, 0.4761904761904762, 0.492063492063492, 0.5079365079365079, 0.5238095238095238, 0.5396825396825397, 0.5555555555555556, 0.5714285714285714, 0.5873015873015873, 0.6031746031746031, 0.6190476190476191, 0.6349206349206349, 0.6507936507936508, 0.6666666666666666, 0.6825396825396826, 0.6984126984126984, 0.7142857142857143, 0.7301587301587301, 0.746031746031746, 0.7619047619047619, 0.7777777777777778, 0.7936507936507936, 0.8095238095238095, 0.8253968253968254, 0.8412698412698413, 0.8571428571428571, 0.873015873015873, 0.8888888888888888, 0.9047619047619048, 0.9206349206349206, 0.9365079365079365, 0.9523809523809523, 0.9682539682539683, 0.9841269841269841, 1};
+            float g[] = { 1, 0.9841269841269842, 0.9682539682539683, 0.9523809523809523, 0.9365079365079365, 0.9206349206349207, 0.9047619047619048, 0.8888888888888888, 0.873015873015873, 0.8571428571428572, 0.8412698412698413, 0.8253968253968254, 0.8095238095238095, 0.7936507936507937, 0.7777777777777778, 0.7619047619047619, 0.746031746031746, 0.7301587301587302, 0.7142857142857143, 0.6984126984126984, 0.6825396825396826, 0.6666666666666667, 0.6507936507936508, 0.6349206349206349, 0.6190476190476191, 0.6031746031746033, 0.5873015873015873, 0.5714285714285714, 0.5555555555555556, 0.5396825396825398, 0.5238095238095238, 0.5079365079365079, 0.4920634920634921, 0.4761904761904762, 0.4603174603174603, 0.4444444444444444, 0.4285714285714286, 0.4126984126984127, 0.3968253968253969, 0.3809523809523809, 0.3650793650793651, 0.3492063492063492, 0.3333333333333334, 0.3174603174603174, 0.3015873015873016, 0.2857142857142857, 0.2698412698412699, 0.253968253968254, 0.2380952380952381, 0.2222222222222222, 0.2063492063492064, 0.1904761904761905, 0.1746031746031746, 0.1587301587301587, 0.1428571428571429, 0.126984126984127, 0.1111111111111112, 0.09523809523809523, 0.07936507936507942, 0.06349206349206349, 0.04761904761904767, 0.03174603174603174, 0.01587301587301593, 0};
+            float b[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    // Equals the GNU Octave colormap "hsv".
+    class HSV : public ColorMap {
+    public:
+        HSV() : ColorMap() {
+            init(256);
+        }
+
+        HSV(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526, 0.8571428571428568, 0.7619047619047614, 0.6666666666666665, 0.5714285714285716, 0.4761904761904763, 0.3809523809523805, 0.2857142857142856, 0.1904761904761907, 0.0952380952380949, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809557, 0.1904761904761905, 0.2857142857142854, 0.3809523809523809, 0.4761904761904765, 0.5714285714285714, 0.6666666666666663, 0.7619047619047619, 0.8571428571428574, 0.9523809523809523, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            float g[] = { 0, 0.09523809523809523, 0.1904761904761905, 0.2857142857142857, 0.3809523809523809, 0.4761904761904762, 0.5714285714285714, 0.6666666666666666, 0.7619047619047619, 0.8571428571428571, 0.9523809523809523, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526, 0.8571428571428577, 0.7619047619047619, 0.6666666666666665, 0.5714285714285716, 0.4761904761904767, 0.3809523809523814, 0.2857142857142856, 0.1904761904761907, 0.09523809523809579, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
+            float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.09523809523809523, 0.1904761904761905, 0.2857142857142857, 0.3809523809523809, 0.4761904761904762, 0.5714285714285714, 0.6666666666666666, 0.7619047619047619, 0.8571428571428571, 0.9523809523809523, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.9523809523809526, 0.8571428571428577, 0.7619047619047614, 0.6666666666666665, 0.5714285714285716, 0.4761904761904767, 0.3809523809523805, 0.2857142857142856, 0.1904761904761907, 0.09523809523809579, 0};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    // Equals the GNU Octave colormap "pink".
+    class Pink : public ColorMap {
+    public:
+        Pink() : ColorMap() {
+            init(256);
+        }
+
+        Pink(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 0, 0.1571348402636772, 0.2222222222222222, 0.2721655269759087, 0.3142696805273544, 0.3513641844631533, 0.3849001794597505, 0.415739709641549, 0.4444444444444444, 0.4714045207910317, 0.4969039949999532, 0.5211573066470477, 0.5443310539518174, 0.5665577237325317, 0.5879447357921312, 0.6085806194501846, 0.6285393610547089, 0.6478835438717, 0.6666666666666666, 0.6849348892187751, 0.7027283689263065, 0.7200822998230956, 0.7370277311900888, 0.753592220347252, 0.7663560447348133, 0.7732293307186413, 0.7800420555749596, 0.7867957924694432, 0.7934920476158722, 0.8001322641986387, 0.8067178260046388, 0.8132500607904444, 0.8197302434079591, 0.8261595987094034, 0.8325393042503717, 0.8388704928078611, 0.8451542547285166, 0.8513916401208816, 0.8575836609041332, 0.8637312927246217, 0.8698354767504924, 0.8758971213537393, 0.8819171036881968, 0.8878962711712378, 0.8938354428762595, 0.8997354108424372, 0.9055969413076769, 0.9114207758701963, 0.9172076325837248, 0.9229582069908971, 0.9286731730990523, 0.9343531843023135, 0.9399988742535192, 0.9456108576893002, 0.9511897312113418, 0.9567360740266436, 0.9622504486493763, 0.9677334015667416, 0.9731854638710686, 0.9786071518602129, 0.9839989676081821, 0.9893613995077727, 0.9946949227868761, 1};
+            float g[] = { 0, 0.1028688999747279, 0.1454785934906616, 0.1781741612749496, 0.2057377999494559, 0.2300218531141181, 0.2519763153394848, 0.2721655269759087, 0.2909571869813232, 0.3086066999241838, 0.3253000243161777, 0.3411775438127727, 0.3563483225498992, 0.3708990935094579, 0.3849001794597505, 0.3984095364447979, 0.4114755998989117, 0.4241393401869012, 0.4364357804719847, 0.4483951394230328, 0.4600437062282361, 0.4714045207910317, 0.4824979096371639, 0.4933419132673033, 0.5091750772173156, 0.5328701692569688, 0.5555555555555556, 0.5773502691896257, 0.5983516452371671, 0.6186404847588913, 0.6382847385042254, 0.6573421981221795, 0.6758625033664688, 0.6938886664887108, 0.7114582486036499, 0.7286042804780002, 0.7453559924999299, 0.7617394000445604, 0.7777777777777778, 0.7934920476158723, 0.8089010988089465, 0.8240220541217402, 0.8388704928078611, 0.8534606386520677, 0.8678055195451838, 0.8819171036881968, 0.8958064164776166, 0.9094836413191612, 0.9172076325837248, 0.9229582069908971, 0.9286731730990523, 0.9343531843023135, 0.9399988742535192, 0.9456108576893002, 0.9511897312113418, 0.9567360740266436, 0.9622504486493763, 0.9677334015667416, 0.9731854638710686, 0.9786071518602129, 0.9839989676081821, 0.9893613995077727, 0.9946949227868761, 1};
+            float b[] = { 0, 0.1028688999747279, 0.1454785934906616, 0.1781741612749496, 0.2057377999494559, 0.2300218531141181, 0.2519763153394848, 0.2721655269759087, 0.2909571869813232, 0.3086066999241838, 0.3253000243161777, 0.3411775438127727, 0.3563483225498992, 0.3708990935094579, 0.3849001794597505, 0.3984095364447979, 0.4114755998989117, 0.4241393401869012, 0.4364357804719847, 0.4483951394230328, 0.4600437062282361, 0.4714045207910317, 0.4824979096371639, 0.4933419132673033, 0.5039526306789697, 0.5143444998736397, 0.5245305283129621, 0.5345224838248488, 0.5443310539518174, 0.5539659798925444, 0.563436169819011, 0.5727497953228163, 0.5819143739626463, 0.5909368402852788, 0.5998236072282915, 0.6085806194501846, 0.6172133998483676, 0.6257270902992705, 0.6341264874742278, 0.642416074439621, 0.6506000486323554, 0.6586823467062358, 0.6666666666666666, 0.6745564876468501, 0.6823550876255453, 0.6900655593423541, 0.6976908246297114, 0.7052336473499384, 0.7237468644557459, 0.7453559924999298, 0.7663560447348133, 0.7867957924694432, 0.8067178260046388, 0.8261595987094034, 0.8451542547285166, 0.8637312927246217, 0.8819171036881968, 0.8997354108424372, 0.9172076325837248, 0.9343531843023135, 0.9511897312113418, 0.9677334015667416, 0.9839989676081821, 1};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    // Equals the GNU Octave colormap "hot".
+    class Hot : public ColorMap {
+    public:
+        Hot() : ColorMap() {
+            init(256);
+        }
+
+        Hot(int n) : ColorMap() {
+            init(n);
+        }
+
+        void init(int n) {
+            float r[] = { 0, 0.03968253968253968, 0.07936507936507936, 0.119047619047619, 0.1587301587301587, 0.1984126984126984, 0.2380952380952381, 0.2777777777777778, 0.3174603174603174, 0.3571428571428571, 0.3968253968253968, 0.4365079365079365, 0.4761904761904762, 0.5158730158730158, 0.5555555555555556, 0.5952380952380952, 0.6349206349206349, 0.6746031746031745, 0.7142857142857142, 0.753968253968254, 0.7936507936507936, 0.8333333333333333, 0.873015873015873, 0.9126984126984127, 0.9523809523809523, 0.992063492063492, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            float g[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.03174603174603163, 0.0714285714285714, 0.1111111111111112, 0.1507936507936507, 0.1904761904761905, 0.23015873015873, 0.2698412698412698, 0.3095238095238093, 0.3492063492063491, 0.3888888888888888, 0.4285714285714284, 0.4682539682539679, 0.5079365079365079, 0.5476190476190477, 0.5873015873015872, 0.6269841269841268, 0.6666666666666665, 0.7063492063492065, 0.746031746031746, 0.7857142857142856, 0.8253968253968254, 0.8650793650793651, 0.9047619047619047, 0.9444444444444442, 0.984126984126984, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1};
+            float b[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.04761904761904745, 0.1269841269841265, 0.2063492063492056, 0.2857142857142856, 0.3650793650793656, 0.4444444444444446, 0.5238095238095237, 0.6031746031746028, 0.6825396825396828, 0.7619047619047619, 0.8412698412698409, 0.92063492063492, 1};
+            Mat X = linspace(0,1,64);
+            this->_lut = ColorMap::linear_colormap(X,
+                    Mat(64,1, CV_32FC1, r).clone(), // red
+                    Mat(64,1, CV_32FC1, g).clone(), // green
+                    Mat(64,1, CV_32FC1, b).clone(), // blue
+                    n);  // number of sample points
+        }
+    };
+
+    void ColorMap::operator()(InputArray _src, OutputArray _dst) const
+    {
+        if(_lut.total() != 256)
+            CV_Error(Error::StsAssert, "cv::LUT only supports tables of size 256.");
+        Mat src = _src.getMat();
+        // Return original matrix if wrong type is given (is fail loud better here?)
+        if(src.type() != CV_8UC1 && src.type() != CV_8UC3)
+        {
+            src.copyTo(_dst);
+            return;
+        }
+        // Turn into a BGR matrix into its grayscale representation.
+        if(src.type() == CV_8UC3)
+            cvtColor(src.clone(), src, COLOR_BGR2GRAY);
+        cvtColor(src.clone(), src, COLOR_GRAY2BGR);
+        // Apply the ColorMap.
+        LUT(src, _lut, _dst);
+    }
+
+    Mat ColorMap::linear_colormap(InputArray X,
+            InputArray r, InputArray g, InputArray b,
+            InputArray xi) {
+        Mat lut, lut8;
+        Mat planes[] = {
+                interp1(X, b, xi),
+                interp1(X, g, xi),
+                interp1(X, r, xi)};
+        merge(planes, 3, lut);
+        lut.convertTo(lut8, CV_8U, 255.);
+        return lut8;
+    }
+
+    }
+
+    void applyColorMap(InputArray src, OutputArray dst, int colormap)
+    {
+        colormap::ColorMap* cm =
+            colormap == COLORMAP_AUTUMN ? (colormap::ColorMap*)(new colormap::Autumn) :
+            colormap == COLORMAP_BONE ? (colormap::ColorMap*)(new colormap::Bone) :
+            colormap == COLORMAP_COOL ? (colormap::ColorMap*)(new colormap::Cool) :
+            colormap == COLORMAP_HOT ? (colormap::ColorMap*)(new colormap::Hot) :
+            colormap == COLORMAP_HSV ? (colormap::ColorMap*)(new colormap::HSV) :
+            colormap == COLORMAP_JET ? (colormap::ColorMap*)(new colormap::Jet) :
+            colormap == COLORMAP_OCEAN ? (colormap::ColorMap*)(new colormap::Ocean) :
+            colormap == COLORMAP_PINK ? (colormap::ColorMap*)(new colormap::Pink) :
+            colormap == COLORMAP_RAINBOW ? (colormap::ColorMap*)(new colormap::Rainbow) :
+            colormap == COLORMAP_SPRING ? (colormap::ColorMap*)(new colormap::Spring) :
+            colormap == COLORMAP_SUMMER ? (colormap::ColorMap*)(new colormap::Summer) :
+            colormap == COLORMAP_WINTER ? (colormap::ColorMap*)(new colormap::Winter) : 0;
+
+        if( !cm )
+            CV_Error( Error::StsBadArg, "Unknown colormap id; use one of COLORMAP_*");
+
+        (*cm)(src, dst);
+
+        delete cm;
+    }
+}
diff --git a/modules/python/common.cmake b/modules/python/common.cmake
index 2343c64e8b..d9a0bc18bd 100644
--- a/modules/python/common.cmake
+++ b/modules/python/common.cmake
@@ -15,10 +15,10 @@ endforeach(mp)
 # module blacklist
 ocv_list_filterout(candidate_deps "^opencv_cud(a|ev)")
 ocv_list_filterout(candidate_deps "^opencv_adas$")
+ocv_list_filterout(candidate_deps "^opencv_face$")
 ocv_list_filterout(candidate_deps "^opencv_matlab$")
 ocv_list_filterout(candidate_deps "^opencv_tracking$")
 
-
 ocv_add_module(${MODULE_NAME} BINDINGS OPTIONAL ${candidate_deps})
 
 ocv_module_include_directories(

From d0137b6d2dd45db79c2e97de225531b317e17dd4 Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Sun, 10 Aug 2014 23:24:16 +0400
Subject: [PATCH 76/92] moved part of video to contrib/{outflow, bgsegm}; moved
 matlab to contrib

---
 data/softcascade/inria_caltech-17.01.2013.xml | 61401 ---------------
 data/softcascade/soft-cascade-17.12.2012.xml  | 61409 ----------------
 modules/imgproc/src/smooth.cpp                |    27 +-
 modules/matlab/CMakeLists.txt                 |   312 -
 modules/matlab/LICENSE                        |    42 -
 modules/matlab/README.md                      |   394 -
 modules/matlab/compile.cmake                  |    49 -
 modules/matlab/generator/build_info.py        |    75 -
 modules/matlab/generator/cvmex.py             |    63 -
 modules/matlab/generator/filters.py           |   179 -
 modules/matlab/generator/gen_matlab.py        |   198 -
 modules/matlab/generator/parse_tree.py        |   359 -
 .../matlab/generator/templates/__init__.py    |     0
 .../matlab/generator/templates/functional.cpp |   149 -
 .../generator/templates/template_build_info.m |    41 -
 .../templates/template_class_base.cpp         |    98 -
 .../generator/templates/template_class_base.m |    31 -
 .../generator/templates/template_cvmex_base.m |    46 -
 .../generator/templates/template_doc_base.m   |    62 -
 .../templates/template_function_base.cpp      |    60 -
 .../generator/templates/template_map_base.m   |    71 -
 .../matlab/include/opencv2/matlab/bridge.hpp  |   616 -
 modules/matlab/include/opencv2/matlab/map.hpp |    91 -
 .../matlab/include/opencv2/matlab/mxarray.hpp |   684 -
 .../include/opencv2/matlab/transpose.hpp      |   141 -
 modules/matlab/test/CMakeLists.txt            |    23 -
 modules/matlab/test/OpenCVTest.m              |   166 -
 modules/matlab/test/cv_exception.cpp          |    33 -
 modules/matlab/test/exception.cpp             |    29 -
 modules/matlab/test/help.m                    |    15 -
 modules/matlab/test/std_exception.cpp         |    32 -
 modules/matlab/test/test_compiler.cpp         |    31 -
 modules/matlab/test/test_generator.hpp        |    15 -
 modules/matlab/test/testsuite.m               |    11 -
 modules/python/common.cmake                   |     2 +
 modules/superres/src/optical_flow.cpp         |     3 +-
 .../motion_analysis_and_object_tracking.rst   |   183 -
 .../include/opencv2/video/background_segm.hpp |    78 -
 .../video/include/opencv2/video/tracking.hpp  |    45 +-
 modules/video/perf/opencl/perf_motempl.cpp    |     2 +-
 modules/video/src/affineflow.cpp              |   850 -
 modules/video/src/bgfg_gaussmix.cpp           |   472 -
 modules/video/src/bgfg_gmg.cpp                |   522 -
 modules/video/src/compat_video.cpp            |    70 -
 modules/video/src/motempl.cpp                 |   416 -
 .../video/src/opencl/updatemotionhistory.cl   |    27 -
 modules/video/src/simpleflow.cpp              |   673 -
 modules/video/test/ocl/test_motempl.cpp       |    67 -
 .../test/test_backgroundsubtractor_gbh.cpp    |   137 -
 modules/video/test/test_motiontemplates.cpp   |   500 -
 modules/video/test/test_simpleflow.cpp        |   190 -
 samples/cpp/bgfg_gmg.cpp                      |    81 -
 samples/cpp/bgfg_segm.cpp                     |    21 +-
 samples/cpp/motempl.cpp                       |   204 -
 samples/cpp/segment_objects.cpp               |     4 +-
 samples/cpp/simpleflow_demo.cpp               |   221 -
 samples/cpp/trained_classifierNM1.xml         |  4046 -
 samples/cpp/trained_classifierNM2.xml         |  4046 -
 samples/cpp/trained_classifier_erGrouping.xml | 20046 -----
 samples/cpp/tutorial_code/video/bg_sub.cpp    |     8 -
 samples/python2/motempl.py                    |    85 -
 samples/tapi/bgfg_segm.cpp                    |    16 +-
 62 files changed, 55 insertions(+), 159913 deletions(-)
 delete mode 100644 data/softcascade/inria_caltech-17.01.2013.xml
 delete mode 100644 data/softcascade/soft-cascade-17.12.2012.xml
 delete mode 100644 modules/matlab/CMakeLists.txt
 delete mode 100644 modules/matlab/LICENSE
 delete mode 100644 modules/matlab/README.md
 delete mode 100644 modules/matlab/compile.cmake
 delete mode 100644 modules/matlab/generator/build_info.py
 delete mode 100644 modules/matlab/generator/cvmex.py
 delete mode 100644 modules/matlab/generator/filters.py
 delete mode 100644 modules/matlab/generator/gen_matlab.py
 delete mode 100644 modules/matlab/generator/parse_tree.py
 delete mode 100644 modules/matlab/generator/templates/__init__.py
 delete mode 100644 modules/matlab/generator/templates/functional.cpp
 delete mode 100644 modules/matlab/generator/templates/template_build_info.m
 delete mode 100644 modules/matlab/generator/templates/template_class_base.cpp
 delete mode 100644 modules/matlab/generator/templates/template_class_base.m
 delete mode 100644 modules/matlab/generator/templates/template_cvmex_base.m
 delete mode 100644 modules/matlab/generator/templates/template_doc_base.m
 delete mode 100644 modules/matlab/generator/templates/template_function_base.cpp
 delete mode 100644 modules/matlab/generator/templates/template_map_base.m
 delete mode 100644 modules/matlab/include/opencv2/matlab/bridge.hpp
 delete mode 100644 modules/matlab/include/opencv2/matlab/map.hpp
 delete mode 100644 modules/matlab/include/opencv2/matlab/mxarray.hpp
 delete mode 100644 modules/matlab/include/opencv2/matlab/transpose.hpp
 delete mode 100644 modules/matlab/test/CMakeLists.txt
 delete mode 100644 modules/matlab/test/OpenCVTest.m
 delete mode 100644 modules/matlab/test/cv_exception.cpp
 delete mode 100644 modules/matlab/test/exception.cpp
 delete mode 100644 modules/matlab/test/help.m
 delete mode 100644 modules/matlab/test/std_exception.cpp
 delete mode 100644 modules/matlab/test/test_compiler.cpp
 delete mode 100644 modules/matlab/test/test_generator.hpp
 delete mode 100644 modules/matlab/test/testsuite.m
 delete mode 100644 modules/video/src/affineflow.cpp
 delete mode 100644 modules/video/src/bgfg_gaussmix.cpp
 delete mode 100644 modules/video/src/bgfg_gmg.cpp
 delete mode 100644 modules/video/src/motempl.cpp
 delete mode 100644 modules/video/src/opencl/updatemotionhistory.cl
 delete mode 100644 modules/video/src/simpleflow.cpp
 delete mode 100644 modules/video/test/ocl/test_motempl.cpp
 delete mode 100644 modules/video/test/test_backgroundsubtractor_gbh.cpp
 delete mode 100644 modules/video/test/test_motiontemplates.cpp
 delete mode 100644 modules/video/test/test_simpleflow.cpp
 delete mode 100644 samples/cpp/bgfg_gmg.cpp
 delete mode 100644 samples/cpp/motempl.cpp
 delete mode 100644 samples/cpp/simpleflow_demo.cpp
 delete mode 100644 samples/cpp/trained_classifierNM1.xml
 delete mode 100644 samples/cpp/trained_classifierNM2.xml
 delete mode 100644 samples/cpp/trained_classifier_erGrouping.xml
 delete mode 100755 samples/python2/motempl.py

diff --git a/data/softcascade/inria_caltech-17.01.2013.xml b/data/softcascade/inria_caltech-17.01.2013.xml
deleted file mode 100644
index af4d89eda6..0000000000
--- a/data/softcascade/inria_caltech-17.01.2013.xml
+++ /dev/null
@@ -1,61401 +0,0 @@
-<?xml version="1.0"?>
-<!-- Soft Cascade for pedestrian detection trained with the OpenCV sft application. -->
-<!-- Training set: Octave -1 - Caltech, Octave 0, 1 - INRIA-->
-<!-- Number of octaves: 3-->
-<!-- Pruning method: DBP-->
-<!-- Autor: cuda-geek (https://github.com/cuda-geek)-->
-<opencv_storage>
-<first-soft-sascade>
-  <stageType>BOOST</stageType>
-  <featureType>ICF</featureType>
-  <octavesNum>2</octavesNum>
-  <width>64</width>
-  <height>128</height>
-  <shrinkage>4</shrinkage>
-  <octaves>
-    <_>
-      <scale>-1</scale>
-      <weaks>1024</weaks>
-      <trees>
-        <_>
-          <treeThreshold>-9.4971716403961182e-01</treeThreshold>
-          <internalNodes>
-            1 2 0 3.7500000000000000e+01 0 -1 1 6.6500000000000000e+01
-            -2 -3 2 1.7235000000000000e+03</internalNodes>
-          <leafValues>
-            -9.4971716403961182e-01 2.6997840404510498e-01
-            7.8099721670150757e-01 -7.7198696136474609e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.7211276292800903e+00</treeThreshold>
-          <internalNodes>
-            1 2 3 8.4650000000000000e+02 0 -1 4 1.2500000000000000e+01
-            -2 -3 5 5.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5446445941925049e-01 7.2089314460754395e-01
-            -9.4914066791534424e-01 -4.8974543809890747e-02</leafValues></_>
-        <_>
-          <treeThreshold>-2.4981524944305420e+00</treeThreshold>
-          <internalNodes>
-            1 2 6 2.5000000000000000e+00 0 -1 7 5.9500000000000000e+01
-            -2 -3 8 5.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7702480554580688e-01 6.2583726644515991e-01
-            5.4469954967498779e-01 -8.8470917940139771e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.1237995624542236e+00</treeThreshold>
-          <internalNodes>
-            1 2 9 7.8500000000000000e+01 0 -1 10 1.2005000000000000e+03
-            -2 -3 11 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.2334083914756775e-03 -9.4934105873107910e-01
-            6.9860899448394775e-01 -5.2581334114074707e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.4558345079421997e+00</treeThreshold>
-          <internalNodes>
-            1 2 12 5.6550000000000000e+02 0 -1 13 1.5000000000000000e+00
-            -2 -3 14 7.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.4912836551666260e-01 -9.5133358240127563e-01
-            -1.3602481782436371e-01 6.6796511411666870e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.5295742750167847e+00</treeThreshold>
-          <internalNodes>
-            1 2 15 2.7500000000000000e+01 0 -1 16 8.5000000000000000e+00
-            -2 -3 17 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7886241674423218e-01 4.4655936956405640e-01
-            -7.3739707469940186e-02 -7.9169273376464844e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.2253897190093994e+00</treeThreshold>
-          <internalNodes>
-            1 2 18 5.0000000000000000e-01 0 -1 19 1.5000000000000000e+00
-            -2 -3 20 2.6925000000000000e+03</internalNodes>
-          <leafValues>
-            -8.5955154895782471e-01 5.1408839225769043e-01
-            3.5344448685646057e-01 -6.9581556320190430e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.6767826080322266e+00</treeThreshold>
-          <internalNodes>
-            1 2 21 4.8050000000000000e+02 0 -1 22 1.2500000000000000e+01
-            -2 -3 23 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.2450993061065674e-01 2.5221033021807671e-02
-            -6.7134410142898560e-01 6.1318635940551758e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.3603744506835938e+00</treeThreshold>
-          <internalNodes>
-            1 2 24 1.1435000000000000e+03 0 -1 25 1.7835000000000000e+03
-            -2 -3 26 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.0388273000717163e-01 3.1640821695327759e-01
-            -8.4853601455688477e-01 6.8783169984817505e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.0207209587097168e+00</treeThreshold>
-          <internalNodes>
-            1 2 27 3.5000000000000000e+00 0 -1 28 4.9500000000000000e+01
-            -2 -3 29 9.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3346191048622131e-01 -8.7325519323348999e-01
-            -8.2403194904327393e-01 3.3965352177619934e-01</leafValues></_>
-        <_>
-          <treeThreshold>-7.3391747474670410e-01</treeThreshold>
-          <internalNodes>
-            1 2 30 1.5000000000000000e+00 0 -1 31 3.2950000000000000e+02
-            -2 -3 32 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            6.6277317702770233e-02 -6.9447505474090576e-01
-            -5.3387427330017090e-01 4.5649796724319458e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.5609853267669678e-01</treeThreshold>
-          <internalNodes>
-            1 2 33 5.0000000000000000e-01 0 -1 34 9.9450000000000000e+02
-            -2 -3 35 6.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8371157050132751e-01 -5.3800541162490845e-01
-            -7.2787827253341675e-01 3.4235689043998718e-01</leafValues></_>
-        <_>
-          <treeThreshold>-5.6636196374893188e-01</treeThreshold>
-          <internalNodes>
-            1 2 36 6.5000000000000000e+00 0 -1 37 72. -2 -3 38
-            3.0950000000000000e+02</internalNodes>
-          <leafValues>
-            -8.5185158252716064e-01 7.3330056667327881e-01
-            2.8973656892776489e-01 -6.7352497577667236e-01</leafValues></_>
-        <_>
-          <treeThreshold>-3.7486231327056885e-01</treeThreshold>
-          <internalNodes>
-            1 2 39 2.5000000000000000e+00 0 -1 40 7.1500000000000000e+01
-            -2 -3 41 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3279057741165161e-01 7.1982288360595703e-01
-            -7.4711191654205322e-01 1.9149963557720184e-01</leafValues></_>
-        <_>
-          <treeThreshold>-4.8397040367126465e-01</treeThreshold>
-          <internalNodes>
-            1 2 42 1.1825000000000000e+03 0 -1 43 7.1500000000000000e+01
-            -2 -3 44 1000.</internalNodes>
-          <leafValues>
-            -1.9838142395019531e-01 4.8220044374465942e-01
-            -8.3472287654876709e-01 9.5568519830703735e-01</leafValues></_>
-        <_>
-          <treeThreshold>-4.4923403859138489e-01</treeThreshold>
-          <internalNodes>
-            1 2 45 1.4050000000000000e+02 0 -1 46 3.8645000000000000e+03
-            -2 -3 47 5.7750000000000000e+02</internalNodes>
-          <leafValues>
-            -5.5212533473968506e-01 4.4974172115325928e-01
-            -7.6033878326416016e-01 3.4736368805170059e-02</leafValues></_>
-        <_>
-          <treeThreshold>-4.2061111330986023e-01</treeThreshold>
-          <internalNodes>
-            1 2 48 3.2500000000000000e+01 0 -1 49 5.0000000000000000e-01
-            -2 -3 50 715.</internalNodes>
-          <leafValues>
-            3.7134438753128052e-01 -3.3291110396385193e-01
-            -8.0598479509353638e-01 9.6374911069869995e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.9169148802757263e-01</treeThreshold>
-          <internalNodes>
-            1 2 51 1.0500000000000000e+01 0 -1 52 1.0500000000000000e+01
-            -2 -3 53 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6079102754592896e-01 6.6127598285675049e-01
-            2.2891961038112640e-01 -9.0992504358291626e-01</leafValues></_>
-        <_>
-          <treeThreshold>-5.1674181222915649e-01</treeThreshold>
-          <internalNodes>
-            1 2 54 2.6150000000000000e+02 0 -1 55 3.2695000000000000e+03
-            -2 -3 56 1409.</internalNodes>
-          <leafValues>
-            -9.3132334947586060e-01 9.0150839090347290e-01
-            -5.5453002452850342e-01 1.6071465611457825e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2020828723907471e-02</treeThreshold>
-          <internalNodes>
-            1 2 57 7.9500000000000000e+01 0 -1 58 2.8025000000000000e+03
-            -2 -3 59 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.9213029146194458e-01 5.8876264095306396e-01
-            -6.8830287456512451e-01 1.2910151481628418e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1566778421401978e-01</treeThreshold>
-          <internalNodes>
-            1 2 60 3.5000000000000000e+00 0 -1 61 1.0500000000000000e+01
-            -2 -3 62 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0831661224365234e-01 -4.9088028073310852e-01
-            -6.5012139081954956e-01 3.4508187323808670e-02</leafValues></_>
-        <_>
-          <treeThreshold>-2.1515211090445518e-02</treeThreshold>
-          <internalNodes>
-            1 2 63 2.8050000000000000e+02 0 -1 64 1.3550000000000000e+02
-            -2 -3 65 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1834840774536133e-01 3.4400060772895813e-01
-            -6.3054949045181274e-01 1.1890744417905807e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1621408462524414e-01</treeThreshold>
-          <internalNodes>
-            1 2 66 9.5000000000000000e+00 0 -1 67 6.1450000000000000e+02
-            -2 -3 68 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3128114938735962e-02 -9.1282945871353149e-01
-            -3.9921483397483826e-01 3.3772930502891541e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6335878372192383e-01</treeThreshold>
-          <internalNodes>
-            1 2 69 3.7950000000000000e+02 0 -1 70 1.3500000000000000e+01
-            -2 -3 71 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0056474208831787e-01 5.2738833427429199e-01
-            3.5282510519027710e-01 -3.3403894305229187e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6363087892532349e-01</treeThreshold>
-          <internalNodes>
-            1 2 72 1.1250000000000000e+02 0 -1 73 5.0000000000000000e-01
-            -2 -3 74 1.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6730571985244751e-01 2.9215443134307861e-01
-            -8.7365627288818359e-01 3.9535489678382874e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9701683521270752e-01</treeThreshold>
-          <internalNodes>
-            1 2 75 5.0425000000000000e+03 0 -1 76 4.5000000000000000e+00
-            -2 -3 77 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.0965454578399658e-01 1.8540042638778687e-01
-            -9.2315214872360229e-01 5.3048878908157349e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5701298117637634e-01</treeThreshold>
-          <internalNodes>
-            1 2 78 5.0000000000000000e-01 0 -1 79 6.5000000000000000e+00
-            -2 -3 80 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.7668315172195435e-01 5.6005096435546875e-01
-            2.1146409213542938e-01 -5.8390063047409058e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3680413961410522e-01</treeThreshold>
-          <internalNodes>
-            1 2 81 1.6385000000000000e+03 0 -1 82 1.6425000000000000e+03
-            -2 -3 83 9.5650000000000000e+02</internalNodes>
-          <leafValues>
-            -4.7798931598663330e-01 7.4568957090377808e-01
-            -6.5293675661087036e-01 7.9791143536567688e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.9123014211654663e-01</treeThreshold>
-          <internalNodes>
-            1 2 84 2.5000000000000000e+00 0 -1 85 3.5000000000000000e+00
-            -2 -3 86 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4295582771301270e-01 3.1564649939537048e-01
-            2.5442600250244141e-01 -5.3678894042968750e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9566841125488281e-01</treeThreshold>
-          <internalNodes>
-            1 2 87 1.5000000000000000e+00 0 -1 88 8.3500000000000000e+01
-            -2 -3 89 4.3585000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9861388206481934e-01 5.2257591485977173e-01
-            2.0443826913833618e-01 -9.2329531908035278e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9697165489196777e-01</treeThreshold>
-          <internalNodes>
-            1 2 90 6.5000000000000000e+00 0 -1 91 5.0000000000000000e-01
-            -2 -3 92 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5905121564865112e-01 -4.5287278294563293e-01
-            4.4855368137359619e-01 -5.0183618068695068e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2100763320922852e-01</treeThreshold>
-          <internalNodes>
-            1 2 93 1.5500000000000000e+01 0 -1 94 1727. -2 -3 95
-            4.0650000000000000e+02</internalNodes>
-          <leafValues>
-            8.0813169479370117e-02 -7.7053368091583252e-01
-            -6.6791737079620361e-01 5.0257974863052368e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2186468839645386e+00</treeThreshold>
-          <internalNodes>
-            1 2 96 2.5000000000000000e+00 0 -1 97 9.4450000000000000e+02
-            -2 -3 98 2.8250000000000000e+02</internalNodes>
-          <leafValues>
-            5.1938551664352417e-01 -6.8461489677429199e-01
-            2.9763919115066528e-01 -5.4145312309265137e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5830533504486084e+00</treeThreshold>
-          <internalNodes>
-            1 2 99 1.5000000000000000e+00 0 -1 100
-            6.4500000000000000e+01 -2 -3 101 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6440649628639221e-01 -8.8290220499038696e-01
-            -5.5990779399871826e-01 5.2934420108795166e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6476187705993652e+00</treeThreshold>
-          <internalNodes>
-            1 2 102 6.3500000000000000e+01 0 -1 103 1272. -2 -3 104
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.6397061347961426e-02 -6.9906431436538696e-01
-            -3.5238000750541687e-01 4.7082781791687012e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9613027572631836e+00</treeThreshold>
-          <internalNodes>
-            1 2 105 1.9050000000000000e+02 0 -1 106
-            2.5950000000000000e+02 -2 -3 107 8.6850000000000000e+02</internalNodes>
-          <leafValues>
-            4.7928789258003235e-01 -5.8920049667358398e-01
-            3.1368392705917358e-01 -7.1384090185165405e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8639501333236694e+00</treeThreshold>
-          <internalNodes>
-            1 2 108 4.5000000000000000e+00 0 -1 109
-            2.5000000000000000e+00 -2 -3 110 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9352459907531738e-01 7.6466333866119385e-01
-            -4.9252825975418091e-01 3.0242496728897095e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8654627799987793e+00</treeThreshold>
-          <internalNodes>
-            1 2 111 5.5000000000000000e+00 0 -1 112
-            4.6550000000000000e+02 -2 -3 113 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1676077842712402e-01 -5.6126487255096436e-01
-            -7.7573800086975098e-01 5.2215093374252319e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1480247974395752e+00</treeThreshold>
-          <internalNodes>
-            1 2 114 6.0500000000000000e+01 0 -1 115
-            2.0500000000000000e+01 -2 -3 116 2.3450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.9376759529113770e-01 -1.0997094959020615e-01
-            7.2199839353561401e-01 -5.0327394157648087e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.9088299274444580e+00</treeThreshold>
-          <internalNodes>
-            1 2 117 7.5000000000000000e+00 0 -1 118
-            4.0500000000000000e+01 -2 -3 119 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.8195198178291321e-02 -7.0370197296142578e-01
-            -2.3919497430324554e-01 4.2311295866966248e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5272409915924072e+00</treeThreshold>
-          <internalNodes>
-            1 2 120 1.6050000000000000e+02 0 -1 121
-            1.0500000000000000e+01 -2 -3 122 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4770694971084595e-01 -3.8158890604972839e-01
-            -9.7206908464431763e-01 8.9829629659652710e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9680063724517822e+00</treeThreshold>
-          <internalNodes>
-            1 2 123 2.5000000000000000e+00 0 -1 124
-            1.9500000000000000e+01 -2 -3 125 2.5735000000000000e+03</internalNodes>
-          <leafValues>
-            -4.3100010603666306e-02 -7.5473427772521973e-01
-            -3.5048019886016846e-01 4.4076529145240784e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3465363979339600e+00</treeThreshold>
-          <internalNodes>
-            1 2 126 1.2500000000000000e+01 0 -1 127
-            1.0555000000000000e+03 -2 -3 128 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7551236152648926e-01 -6.7303813993930817e-02
-            3.7853002548217773e-01 -3.1027609109878540e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9033544063568115e+00</treeThreshold>
-          <internalNodes>
-            1 2 129 8.5000000000000000e+00 0 -1 130
-            5.6250000000000000e+02 -2 -3 131 1.3550000000000000e+02</internalNodes>
-          <leafValues>
-            -3.6559425294399261e-02 -7.8142386674880981e-01
-            7.2312414646148682e-01 2.3289153352379799e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9388859272003174e+00</treeThreshold>
-          <internalNodes>
-            1 2 132 5.0000000000000000e-01 0 -1 133
-            5.5250000000000000e+02 -2 -3 134 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.9772734045982361e-01 3.6010205745697021e-01
-            -5.2232388406991959e-02 -8.5994052886962891e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1289162635803223e+00</treeThreshold>
-          <internalNodes>
-            1 2 135 2.5000000000000000e+00 0 -1 136
-            9.3550000000000000e+02 -2 -3 137 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5386021137237549e-01 -7.9960751533508301e-01
-            5.9937894344329834e-01 -9.3748055398464203e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9401018619537354e+00</treeThreshold>
-          <internalNodes>
-            1 2 138 2.3500000000000000e+01 0 -1 139
-            4.9500000000000000e+01 -2 -3 140 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.2960659861564636e-01 6.7244362831115723e-01
-            7.8785783052444458e-01 -9.8723149299621582e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1424379348754883e+00</treeThreshold>
-          <internalNodes>
-            1 2 141 2.5000000000000000e+00 0 -1 142
-            5.5000000000000000e+00 -2 -3 143 2361.</internalNodes>
-          <leafValues>
-            -9.1799181699752808e-01 4.2446807026863098e-01
-            2.0233620703220367e-01 -9.6672892570495605e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4968855381011963e+00</treeThreshold>
-          <internalNodes>
-            1 2 144 2.8550000000000000e+02 0 -1 145
-            5.1500000000000000e+01 -2 -3 146 5.6650000000000000e+02</internalNodes>
-          <leafValues>
-            -8.5579192638397217e-01 -9.2651106417179108e-02
-            3.8093444705009460e-01 -5.7530546188354492e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1502232551574707e+00</treeThreshold>
-          <internalNodes>
-            1 2 147 4.5000000000000000e+00 0 -1 148
-            6.8500000000000000e+01 -2 -3 149 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9113306999206543e-01 7.8237515687942505e-01
-            3.2001781463623047e-01 -3.7314903736114502e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8585174083709717e+00</treeThreshold>
-          <internalNodes>
-            1 2 150 5.0000000000000000e-01 0 -1 151
-            5.5000000000000000e+00 -2 -3 152 4.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9204528331756592e-01 7.0829415321350098e-01
-            7.4046157300472260e-02 -6.1383426189422607e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8080792427062988e+00</treeThreshold>
-          <internalNodes>
-            1 2 153 3.5500000000000000e+01 0 -1 154 7681. -2 -3 155
-            2.4675000000000000e+03</internalNodes>
-          <leafValues>
-            3.3740982413291931e-02 -7.4226945638656616e-01
-            -7.3395508527755737e-01 3.6083909869194031e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3863887786865234e+00</treeThreshold>
-          <internalNodes>
-            1 2 156 5.6500000000000000e+01 0 -1 157
-            5.0000000000000000e-01 -2 -3 158 8.4050000000000000e+02</internalNodes>
-          <leafValues>
-            1.7904321849346161e-01 -4.8003113269805908e-01
-            -9.6535164117813110e-01 6.9043123722076416e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6636304855346680e+00</treeThreshold>
-          <internalNodes>
-            1 2 159 4.5000000000000000e+00 0 -1 160
-            2.5000000000000000e+00 -2 -3 161 5.8950000000000000e+02</internalNodes>
-          <leafValues>
-            2.8943026065826416e-01 -6.7487114667892456e-01
-            2.7724167704582214e-01 -8.2213556766510010e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8721060752868652e+00</treeThreshold>
-          <internalNodes>
-            1 2 162 1.2150000000000000e+02 0 -1 163
-            1.4500000000000000e+01 -2 -3 164 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0847551524639130e-01 -6.2353050708770752e-01
-            -9.3967980146408081e-01 1.3107043504714966e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7894663810729980e+00</treeThreshold>
-          <internalNodes>
-            1 2 165 2.5000000000000000e+00 0 -1 166
-            1.5500000000000000e+01 -2 -3 167 7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5801634788513184e-01 4.9648978747427464e-03
-            2.7702361345291138e-01 -6.3914996385574341e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0543885231018066e+00</treeThreshold>
-          <internalNodes>
-            1 2 168 9.3500000000000000e+01 0 -1 169
-            6.1500000000000000e+01 -2 -3 170 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7131806612014771e-01 7.3680460453033447e-01
-            3.5524344444274902e-01 -8.2101029157638550e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9048261642456055e+00</treeThreshold>
-          <internalNodes>
-            1 2 171 7.5500000000000000e+01 0 -1 172
-            5.0000000000000000e-01 -2 -3 173 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9885207414627075e-01 -1.4956261217594147e-01
-            -9.2175818979740143e-02 -8.9010834693908691e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4586915969848633e+00</treeThreshold>
-          <internalNodes>
-            1 2 174 2.6950000000000000e+02 0 -1 175
-            1.7605000000000000e+03 -2 -3 176 2.8545000000000000e+03</internalNodes>
-          <leafValues>
-            8.6131852865219116e-01 -1.3636624813079834e-01
-            -7.9446256160736084e-01 5.2974238060414791e-03</leafValues></_>
-        <_>
-          <treeThreshold>4.6468200683593750e+00</treeThreshold>
-          <internalNodes>
-            1 2 177 8.5000000000000000e+00 0 -1 178
-            1.7250000000000000e+02 -2 -3 179 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.8949034214019775e-01 -6.4925616979598999e-01
-            -4.3843978643417358e-01 3.6792558431625366e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0024299621582031e+00</treeThreshold>
-          <internalNodes>
-            1 2 180 5.0000000000000000e-01 0 -1 181
-            1.5000000000000000e+00 -2 -3 182 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3265806436538696e-01 5.1995193958282471e-01
-            -5.6129783391952515e-01 3.8019722700119019e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7194237709045410e+00</treeThreshold>
-          <internalNodes>
-            1 2 183 4.2650000000000000e+02 0 -1 184
-            8.5000000000000000e+00 -2 -3 185 4.4950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.5718921422958374e-01 2.8537952899932861e-01
-            -6.2070721387863159e-01 4.7228741645812988e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0188984870910645e+00</treeThreshold>
-          <internalNodes>
-            1 2 186 4.5000000000000000e+00 0 -1 187
-            7.5000000000000000e+00 -2 -3 188 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2133111953735352e-01 5.6136214733123779e-01
-            -6.9119346141815186e-01 3.8566098082810640e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.3487014770507812e+00</treeThreshold>
-          <internalNodes>
-            1 2 189 5.7500000000000000e+01 0 -1 190
-            2.5000000000000000e+00 -2 -3 191 7.8350000000000000e+02</internalNodes>
-          <leafValues>
-            -4.0980994701385498e-01 3.2980319857597351e-01
-            -8.2106924057006836e-01 8.7380580604076385e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4926447868347168e+00</treeThreshold>
-          <internalNodes>
-            1 2 192 4.0550000000000000e+02 0 -1 193
-            1.4450000000000000e+02 -2 -3 194 6.5005000000000000e+03</internalNodes>
-          <leafValues>
-            7.8168880939483643e-01 -9.9427944421768188e-01
-            1.4394305646419525e-01 -8.7959676980972290e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9957537651062012e+00</treeThreshold>
-          <internalNodes>
-            1 2 195 4.8150000000000000e+02 0 -1 196
-            1.5000000000000000e+00 -2 -3 197 3.5035000000000000e+03</internalNodes>
-          <leafValues>
-            7.3646187782287598e-02 -4.9689114093780518e-01
-            4.9998056888580322e-01 -8.2785910367965698e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1939215660095215e+00</treeThreshold>
-          <internalNodes>
-            1 2 198 2.5000000000000000e+00 0 -1 199
-            5.0000000000000000e-01 -2 -3 200 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2600880861282349e-01 -7.7916258573532104e-01
-            5.3144866228103638e-01 -1.1227495223283768e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0181527137756348e+00</treeThreshold>
-          <internalNodes>
-            1 2 201 8.5000000000000000e+00 0 -1 202
-            4.4750000000000000e+02 -2 -3 203 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.7900190353393555e-02 -7.0389288663864136e-01
-            5.1429390907287598e-01 -1.7576885223388672e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5697488784790039e+00</treeThreshold>
-          <internalNodes>
-            1 2 204 1.0500000000000000e+01 0 -1 205 70. -2 -3 206
-            6.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7297052145004272e-01 7.0906364917755127e-01
-            -1.4972299337387085e-01 5.5159616470336914e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7136139869689941e+00</treeThreshold>
-          <internalNodes>
-            1 2 207 1.3650000000000000e+02 0 -1 208
-            1.6175000000000000e+03 -2 -3 209 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1608042716979980e-01 6.8123096227645874e-01
-            -5.4103106260299683e-01 1.4386519789695740e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0863943099975586e+00</treeThreshold>
-          <internalNodes>
-            1 2 210 4.2350000000000000e+02 0 -1 211
-            6.5000000000000000e+00 -2 -3 212 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.0391936302185059e-01 3.7278059124946594e-01
-            -6.1555516719818115e-01 3.6680406332015991e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0900993347167969e+00</treeThreshold>
-          <internalNodes>
-            1 2 213 7.5000000000000000e+00 0 -1 214
-            6.3500000000000000e+01 -2 -3 215 1.7150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.1301319599151611e-01 2.1032735705375671e-01
-            2.5279974937438965e-01 -7.4217134714126587e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8023753166198730e+00</treeThreshold>
-          <internalNodes>
-            1 2 216 1.2500000000000000e+01 0 -1 217
-            1.5000000000000000e+00 -2 -3 218 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2685444355010986e-01 7.9898738861083984e-01
-            -2.8772389888763428e-01 5.6455093622207642e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3323311805725098e+00</treeThreshold>
-          <internalNodes>
-            1 2 219 1.5000000000000000e+00 0 -1 220
-            8.5000000000000000e+00 -2 -3 221 1475.</internalNodes>
-          <leafValues>
-            -1.4710092544555664e-01 5.2995562553405762e-01
-            -5.9936457872390747e-01 6.4512765407562256e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6095805168151855e+00</treeThreshold>
-          <internalNodes>
-            1 2 222 1.0050000000000000e+02 0 -1 223
-            1.3850000000000000e+02 -2 -3 224 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7491708993911743e-01 2.7724933624267578e-01
-            -9.3418252468109131e-01 7.3304271697998047e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3995418548583984e+00</treeThreshold>
-          <internalNodes>
-            1 2 225 5.0000000000000000e-01 0 -1 226
-            5.0000000000000000e-01 -2 -3 227 404.</internalNodes>
-          <leafValues>
-            -5.4505115747451782e-01 3.4958031773567200e-01
-            3.8955518603324890e-01 -5.4077529907226562e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4326496124267578e+00</treeThreshold>
-          <internalNodes>
-            1 2 228 1.4725000000000000e+03 0 -1 229
-            1.5000000000000000e+00 -2 -3 230 1.8750000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1992988586425781e-01 3.2155281305313110e-01
-            -8.8109362125396729e-01 1.9341170787811279e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6780347824096680e+00</treeThreshold>
-          <internalNodes>
-            1 2 231 4.1500000000000000e+01 0 -1 232
-            3.7950000000000000e+02 -2 -3 233 5.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8503032922744751e-01 2.4538502097129822e-01
-            -8.7592208385467529e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>6.2248573303222656e+00</treeThreshold>
-          <internalNodes>
-            1 2 234 7.5000000000000000e+00 0 -1 235
-            3.2500000000000000e+01 -2 -3 236 5.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -4.5317751169204712e-01 2.1532684564590454e-01
-            5.8404910564422607e-01 -2.4274602532386780e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4159698486328125e+00</treeThreshold>
-          <internalNodes>
-            1 2 237 1.1535000000000000e+03 0 -1 238
-            5.5000000000000000e+00 -2 -3 239 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7068289518356323e-01 1.9111247360706329e-01
-            -9.4053912162780762e-01 4.4355693459510803e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1638717651367188e+00</treeThreshold>
-          <internalNodes>
-            1 2 240 1.4050000000000000e+02 0 -1 241
-            5.0000000000000000e-01 -2 -3 242 1.2650000000000000e+02</internalNodes>
-          <leafValues>
-            4.4086909294128418e-01 -5.0150549411773682e-01
-            7.4790221452713013e-01 -9.0757437050342560e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9956283569335938e+00</treeThreshold>
-          <internalNodes>
-            1 2 243 4.0550000000000000e+02 0 -1 244
-            3.7650000000000000e+02 -2 -3 245 4524.</internalNodes>
-          <leafValues>
-            -3.4899798035621643e-01 8.1103372573852539e-01
-            -8.7178498506546021e-01 -4.8995027318596840e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.4554481506347656e+00</treeThreshold>
-          <internalNodes>
-            1 2 246 2.3150000000000000e+02 0 -1 247
-            3.1425000000000000e+03 -2 -3 248 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2766591310501099e-01 -6.1232703924179077e-01
-            -6.5764123201370239e-01 2.0478096604347229e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2104501724243164e+00</treeThreshold>
-          <internalNodes>
-            1 2 249 2.9500000000000000e+01 0 -1 250
-            5.0000000000000000e-01 -2 -3 251 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3428641557693481e-01 -3.1284397840499878e-01
-            8.8815468549728394e-01 -4.8376885056495667e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4390578269958496e+00</treeThreshold>
-          <internalNodes>
-            1 2 252 5.5000000000000000e+00 0 -1 253
-            1.3500000000000000e+01 -2 -3 254 6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5515633821487427e-01 -9.5432144403457642e-01
-            2.2860760986804962e-01 -7.0533061027526855e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9283328056335449e+00</treeThreshold>
-          <internalNodes>
-            1 2 255 2.5000000000000000e+00 0 -1 256
-            2.2050000000000000e+02 -2 -3 257 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.8305485844612122e-01 -4.7798827290534973e-01
-            -6.9612729549407959e-01 4.8927512764930725e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8133955001831055e+00</treeThreshold>
-          <internalNodes>
-            1 2 258 9.5000000000000000e+00 0 -1 259
-            4.5000000000000000e+00 -2 -3 260 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            6.2756460905075073e-01 -7.5498276948928833e-01
-            3.5729703307151794e-01 -4.0417757630348206e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1147861480712891e+00</treeThreshold>
-          <internalNodes>
-            1 2 261 5.0000000000000000e-01 0 -1 262
-            5.0000000000000000e-01 -2 -3 263 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.9173495173454285e-01 4.1440054774284363e-01
-            1.4962354302406311e-01 -6.2164884805679321e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0036125183105469e+00</treeThreshold>
-          <internalNodes>
-            1 2 264 2.7250000000000000e+02 0 -1 265
-            6.6500000000000000e+01 -2 -3 266 8.6500000000000000e+01</internalNodes>
-          <leafValues>
-            8.9536643028259277e-01 -8.2981568574905396e-01
-            -1.1117322742938995e-01 5.5591076612472534e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9468250274658203e+00</treeThreshold>
-          <internalNodes>
-            1 2 267 3.4355000000000000e+03 0 -1 268
-            1.2500000000000000e+01 -2 -3 269 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.6787721812725067e-02 6.2517631053924561e-01
-            9.5699685811996460e-01 -8.4953671693801880e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1981401443481445e+00</treeThreshold>
-          <internalNodes>
-            1 2 270 5.1255000000000000e+03 0 -1 271
-            7.5500000000000000e+01 -2 -3 272 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.5827653408050537e-01 -8.1833952665328979e-01
-            -7.4658811092376709e-01 2.5131568312644958e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5107431411743164e+00</treeThreshold>
-          <internalNodes>
-            1 2 273 1.4500000000000000e+01 0 -1 274
-            1.2465000000000000e+03 -2 -3 275 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7990524768829346e-01 3.1260266900062561e-01
-            -7.6885735988616943e-01 2.7144250273704529e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5296592712402344e+00</treeThreshold>
-          <internalNodes>
-            1 2 276 8.5000000000000000e+00 0 -1 277
-            4.5000000000000000e+00 -2 -3 278 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.7888947725296021e-01 4.1390788555145264e-01
-            -7.5243312120437622e-01 3.8646731525659561e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.1502628326416016e+00</treeThreshold>
-          <internalNodes>
-            1 2 279 7.5000000000000000e+00 0 -1 280
-            4.5000000000000000e+00 -2 -3 281 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1697919368743896e-01 2.5899103283882141e-01
-            2.9392924904823303e-01 -3.7939697504043579e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5284252166748047e+00</treeThreshold>
-          <internalNodes>
-            1 2 282 7.5000000000000000e+00 0 -1 283
-            4.5000000000000000e+00 -2 -3 284 1.6650000000000000e+02</internalNodes>
-          <leafValues>
-            4.6240034699440002e-01 -5.9770995378494263e-01
-            3.7816286087036133e-01 -4.5079508423805237e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8317689895629883e+00</treeThreshold>
-          <internalNodes>
-            1 2 285 5.0000000000000000e-01 0 -1 286
-            1.0500000000000000e+01 -2 -3 287 9.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.2997814416885376e-01 5.8687257766723633e-01
-            -3.8729551434516907e-01 8.3155500888824463e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0805969238281250e+00</treeThreshold>
-          <internalNodes>
-            1 2 288 4.5000000000000000e+00 0 -1 289
-            1.5000000000000000e+00 -2 -3 290 9.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1435619592666626e-01 6.5646749734878540e-01
-            2.3559592664241791e-01 -5.2417474985122681e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1131057739257812e+00</treeThreshold>
-          <internalNodes>
-            1 2 291 1.0550000000000000e+02 0 -1 292
-            2.5000000000000000e+00 -2 -3 293 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.8382772207260132e-01 -7.2767460346221924e-01
-            -2.2438500821590424e-01 5.3264546394348145e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5003452301025391e+00</treeThreshold>
-          <internalNodes>
-            1 2 294 3.6250000000000000e+02 0 -1 295
-            5.2500000000000000e+01 -2 -3 296 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.5170100331306458e-01 5.5480080842971802e-01
-            -5.9511619806289673e-01 9.4855791330337524e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.8572778701782227e+00</treeThreshold>
-          <internalNodes>
-            1 2 297 1.5000000000000000e+00 0 -1 298
-            5.2450000000000000e+02 -2 -3 299 9.4850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1444231271743774e-01 5.5506742000579834e-01
-            -3.6931082606315613e-01 3.5693225264549255e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9349241256713867e+00</treeThreshold>
-          <internalNodes>
-            1 2 300 9.4850000000000000e+02 0 -1 301 267. -2 -3 302
-            1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8825285434722900e-01 7.0393162965774536e-01
-            -7.8592085838317871e-01 1.2156928423792124e-03</leafValues></_>
-        <_>
-          <treeThreshold>9.9322500228881836e+00</treeThreshold>
-          <internalNodes>
-            1 2 303 2.5500000000000000e+01 0 -1 304
-            1.5000000000000000e+00 -2 -3 305 159.</internalNodes>
-          <leafValues>
-            3.4359598159790039e-01 -2.4455060064792633e-01 1.
-            -7.8989464044570923e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0058608055114746e+01</treeThreshold>
-          <internalNodes>
-            1 2 306 5.0000000000000000e-01 0 -1 307
-            2.2500000000000000e+01 -2 -3 308 1.1515000000000000e+03</internalNodes>
-          <leafValues>
-            -9.0996569395065308e-01 9.2380321025848389e-01
-            -1.6473907232284546e-01 4.1052249073982239e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0223997116088867e+01</treeThreshold>
-          <internalNodes>
-            1 2 309 4.2500000000000000e+01 0 -1 310
-            8.6650000000000000e+02 -2 -3 311 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9234158098697662e-01 -7.2460043430328369e-01
-            -7.9836362600326538e-01 9.6195751428604126e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0008197784423828e+01</treeThreshold>
-          <internalNodes>
-            1 2 312 5.5000000000000000e+00 0 -1 313
-            2.6650000000000000e+02 -2 -3 314 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2523138523101807e-01 -8.6618262529373169e-01
-            -2.4275220930576324e-01 4.0779858827590942e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0062645912170410e+01</treeThreshold>
-          <internalNodes>
-            1 2 315 5.0000000000000000e-01 0 -1 316
-            1.5500000000000000e+01 -2 -3 317 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3337979316711426e-01 3.9335799217224121e-01
-            1.6538677737116814e-02 -6.5064489841461182e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0137523651123047e+01</treeThreshold>
-          <internalNodes>
-            1 2 318 6.5000000000000000e+00 0 -1 319
-            9.7500000000000000e+01 -2 -3 320 4.2250000000000000e+02</internalNodes>
-          <leafValues>
-            -8.1692630052566528e-01 3.2735434174537659e-01
-            3.4575462341308594e-01 -3.3049446344375610e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0166016578674316e+01</treeThreshold>
-          <internalNodes>
-            1 2 321 2.5500000000000000e+01 0 -1 322
-            8.5000000000000000e+00 -2 -3 323 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            9.1644279658794403e-02 -5.2864229679107666e-01
-            6.9183582067489624e-01 -8.6679929494857788e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0464833259582520e+01</treeThreshold>
-          <internalNodes>
-            1 2 324 4.3500000000000000e+01 0 -1 325
-            2.0500000000000000e+01 -2 -3 326 8.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2728145122528076e-01 7.6082414388656616e-01
-            2.9881590604782104e-01 -7.0052075386047363e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0593893051147461e+01</treeThreshold>
-          <internalNodes>
-            1 2 327 754. 0 -1 328 3.1500000000000000e+01 -2 -3 329
-            1.1650000000000000e+02</internalNodes>
-          <leafValues>
-            1.2906002998352051e-01 -9.6310997009277344e-01
-            -9.4967085123062134e-01 9.2896288633346558e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0529273033142090e+01</treeThreshold>
-          <internalNodes>
-            1 2 330 1.5950000000000000e+02 0 -1 331
-            5.0000000000000000e-01 -2 -3 332 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0252849459648132e-01 -2.2623433172702789e-01
-            -8.2927960157394409e-01 7.9533529281616211e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0765100479125977e+01</treeThreshold>
-          <internalNodes>
-            1 2 333 3.7500000000000000e+01 0 -1 334 2857. -2 -3 335
-            2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0000352561473846e-01 -6.7226463556289673e-01
-            -2.3132064938545227e-01 6.5264308452606201e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0927120208740234e+01</treeThreshold>
-          <internalNodes>
-            1 2 336 1.4500000000000000e+01 0 -1 337
-            1.7500000000000000e+01 -2 -3 338 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.8882341384887695e-01 -8.0750954151153564e-01
-            1.6201967000961304e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0593936920166016e+01</treeThreshold>
-          <internalNodes>
-            1 2 339 3.5500000000000000e+01 0 -1 340
-            1.9835000000000000e+03 -2 -3 341 2.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.7594196796417236e-01 5.6257498264312744e-01
-            -3.3318310976028442e-01 7.2988075017929077e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0573868751525879e+01</treeThreshold>
-          <internalNodes>
-            1 2 342 4.0345000000000000e+03 0 -1 343
-            1.7500000000000000e+01 -2 -3 344 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0068552345037460e-02 6.8981468677520752e-01
-            -9.6814006567001343e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.0650080680847168e+01</treeThreshold>
-          <internalNodes>
-            1 2 345 7.5000000000000000e+00 0 -1 346
-            1.2500000000000000e+01 -2 -3 347 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            7.6211549341678619e-02 -5.1685106754302979e-01
-            7.4474209547042847e-01 -4.1124773025512695e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1117682456970215e+01</treeThreshold>
-          <internalNodes>
-            1 2 348 2.6150000000000000e+02 0 -1 349
-            3.6500000000000000e+01 -2 -3 350 1.3225000000000000e+03</internalNodes>
-          <leafValues>
-            3.7473414093255997e-02 -7.5915354490280151e-01
-            -8.7183421850204468e-01 5.9835737943649292e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1351815223693848e+01</treeThreshold>
-          <internalNodes>
-            1 2 351 1.5000000000000000e+00 0 -1 352
-            1.1500000000000000e+01 -2 -3 353 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5888788700103760e-01 8.4721368551254272e-01
-            -5.5274593830108643e-01 2.3413263261318207e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1546736717224121e+01</treeThreshold>
-          <internalNodes>
-            1 2 354 1.3500000000000000e+01 0 -1 355
-            6.5450000000000000e+02 -2 -3 356 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7053505182266235e-01 2.9745939373970032e-01
-            -6.9932419061660767e-01 6.4165964722633362e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1826669692993164e+01</treeThreshold>
-          <internalNodes>
-            1 2 357 5.0000000000000000e-01 0 -1 358 55. -2 -3 359
-            2.4850000000000000e+02</internalNodes>
-          <leafValues>
-            4.2303827404975891e-01 -5.7265710830688477e-01
-            2.7993318438529968e-01 -8.1947267055511475e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1284319877624512e+01</treeThreshold>
-          <internalNodes>
-            1 2 360 5.0000000000000000e-01 0 -1 361
-            6.5000000000000000e+00 -2 -3 362 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.5987164974212646e-01 3.2443001866340637e-01
-            -6.4488828182220459e-01 1.1978100985288620e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1630601882934570e+01</treeThreshold>
-          <internalNodes>
-            1 2 363 5.0000000000000000e-01 0 -1 364
-            5.0000000000000000e-01 -2 -3 365 8.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8305491209030151e-01 3.4628173708915710e-01
-            -4.7460108995437622e-01 7.0546346902847290e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2214597702026367e+01</treeThreshold>
-          <internalNodes>
-            1 2 366 9.4450000000000000e+02 0 -1 367
-            1.2500000000000000e+01 -2 -3 368 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.7438219785690308e-01 -7.6936721801757812e-01
-            -5.2558350563049316e-01 1.2239178270101547e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2195128440856934e+01</treeThreshold>
-          <internalNodes>
-            1 2 369 2.7550000000000000e+02 0 -1 370
-            1.7650000000000000e+02 -2 -3 371 2.2735000000000000e+03</internalNodes>
-          <leafValues>
-            -1.9470088183879852e-02 -9.6673905849456787e-01
-            -4.8436808586120605e-01 3.0466488003730774e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2251366615295410e+01</treeThreshold>
-          <internalNodes>
-            1 2 372 5.2650000000000000e+02 0 -1 373 546. -2 -3 374
-            1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 9.5037066936492920e-01 -3.8202244043350220e-01
-            2.0185998082160950e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2102990150451660e+01</treeThreshold>
-          <internalNodes>
-            1 2 375 3.2500000000000000e+01 0 -1 376
-            2.1500000000000000e+01 -2 -3 377 8.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2463604211807251e-01 3.6814257502555847e-01
-            -7.3823076486587524e-01 7.4913966655731201e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2312093734741211e+01</treeThreshold>
-          <internalNodes>
-            1 2 378 3.4355000000000000e+03 0 -1 379
-            2.5000000000000000e+00 -2 -3 380 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.8733509778976440e-01 2.0910337567329407e-01
-            -9.0931433439254761e-01 3.8765233755111694e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2890332221984863e+01</treeThreshold>
-          <internalNodes>
-            1 2 381 3.0500000000000000e+01 0 -1 382 3778. -2 -3 383
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6564710140228271e-01 6.7786568403244019e-01
-            -6.9395273923873901e-01 6.1719562858343124e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.2589548110961914e+01</treeThreshold>
-          <internalNodes>
-            1 2 384 1.9950000000000000e+02 0 -1 385
-            2.5000000000000000e+00 -2 -3 386 8.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0389565229415894e-01 -3.0078458786010742e-01
-            9.3047642707824707e-01 -8.3185690641403198e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3083652496337891e+01</treeThreshold>
-          <internalNodes>
-            1 2 387 6.8500000000000000e+01 0 -1 388
-            2.9495000000000000e+03 -2 -3 389 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2328838258981705e-02 -8.1223583221435547e-01
-            -2.1020211279392242e-01 5.5431735515594482e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3218968391418457e+01</treeThreshold>
-          <internalNodes>
-            1 2 390 1.6705000000000000e+03 0 -1 391
-            2.5500000000000000e+01 -2 -3 392 4.8050000000000000e+02</internalNodes>
-          <leafValues>
-            4.8974525928497314e-01 -5.1326960325241089e-01
-            -5.8406698703765869e-01 1.3531610369682312e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2885004043579102e+01</treeThreshold>
-          <internalNodes>
-            1 2 393 8.5000000000000000e+00 0 -1 394
-            4.1845000000000000e+03 -2 -3 395 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3101078569889069e-01 -8.4397506713867188e-01
-            3.3940505981445312e-01 -5.4651063680648804e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3153897285461426e+01</treeThreshold>
-          <internalNodes>
-            1 2 396 5.5000000000000000e+00 0 -1 397
-            6.1950000000000000e+02 -2 -3 398 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9637145102024078e-01 -4.6468892693519592e-01
-            5.5541270971298218e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>1.3368961334228516e+01</treeThreshold>
-          <internalNodes>
-            1 2 399 9.5000000000000000e+00 0 -1 400
-            1.5000000000000000e+00 -2 -3 401 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3293839693069458e-01 -8.3272749185562134e-01
-            2.1506418287754059e-01 -8.0539971590042114e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3012317657470703e+01</treeThreshold>
-          <internalNodes>
-            1 2 402 5.5000000000000000e+00 0 -1 403
-            1.5000000000000000e+00 -2 -3 404 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.4536651372909546e-01 -6.8645662069320679e-01
-            3.7242239713668823e-01 -3.5664358735084534e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3480623245239258e+01</treeThreshold>
-          <internalNodes>
-            1 2 405 5.0000000000000000e-01 0 -1 406
-            5.5000000000000000e+00 -2 -3 407 1.2950000000000000e+02</internalNodes>
-          <leafValues>
-            -3.6363714933395386e-01 4.6830555796623230e-01
-            -5.7222759723663330e-01 4.0735042095184326e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3696137428283691e+01</treeThreshold>
-          <internalNodes>
-            1 2 408 5.0000000000000000e-01 0 -1 409
-            3.5500000000000000e+01 -2 -3 410 2.4750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.6935847997665405e-01 6.8743604421615601e-01
-            2.1551388502120972e-01 -7.8673112392425537e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3721407890319824e+01</treeThreshold>
-          <internalNodes>
-            1 2 411 3.8500000000000000e+01 0 -1 412
-            3.8150000000000000e+02 -2 -3 413 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.6747698783874512e-01 8.5023626685142517e-02
-            -7.0082569122314453e-01 6.5703827142715454e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3873306274414062e+01</treeThreshold>
-          <internalNodes>
-            1 2 414 3.0435000000000000e+03 0 -1 415 29. -2 -3 416 83.</internalNodes>
-          <leafValues>
-            1.5189857780933380e-01 -9.3611216545104980e-01
-            -9.5821422338485718e-01 6.5282088518142700e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4014303207397461e+01</treeThreshold>
-          <internalNodes>
-            1 2 417 5.0000000000000000e-01 0 -1 418
-            5.5000000000000000e+00 -2 -3 419 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7168551683425903e-01 3.7073549628257751e-01
-            -6.0920524597167969e-01 1.5500061213970184e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4489161491394043e+01</treeThreshold>
-          <internalNodes>
-            1 2 420 1.0500000000000000e+01 0 -1 421
-            9.2500000000000000e+01 -2 -3 422 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.7485816478729248e-01 -9.3795543909072876e-01
-            -4.8096546530723572e-01 3.2066935300827026e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4712132453918457e+01</treeThreshold>
-          <internalNodes>
-            1 2 423 5.6500000000000000e+01 0 -1 424
-            1.5500000000000000e+01 -2 -3 425 11.</internalNodes>
-          <leafValues>
-            -5.4511427879333496e-01 2.2297111153602600e-01
-            -9.3687444925308228e-01 9.3418681621551514e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4426413536071777e+01</treeThreshold>
-          <internalNodes>
-            1 2 426 9.7450000000000000e+02 0 -1 427
-            8.3850000000000000e+02 -2 -3 428 127.</internalNodes>
-          <leafValues>
-            4.5185938477516174e-01 -2.0019924640655518e-01
-            2.9750302433967590e-01 -7.1074008941650391e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4523365974426270e+01</treeThreshold>
-          <internalNodes>
-            1 2 429 3.0500000000000000e+01 0 -1 430
-            5.0000000000000000e-01 -2 -3 431 200.</internalNodes>
-          <leafValues>
-            9.6951834857463837e-02 -4.6191120147705078e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>1.4775473594665527e+01</treeThreshold>
-          <internalNodes>
-            1 2 432 5.5000000000000000e+00 0 -1 433
-            3.8500000000000000e+01 -2 -3 434 34.</internalNodes>
-          <leafValues>
-            -6.4820885658264160e-01 9.7515827417373657e-01
-            -8.0702418088912964e-01 2.5210806727409363e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4361328125000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 435 9.5500000000000000e+01 0 -1 436
-            1.9250000000000000e+02 -2 -3 437 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9286040067672729e-01 3.2556504011154175e-01
-            2.8273129463195801e-01 -9.3379873037338257e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4586226463317871e+01</treeThreshold>
-          <internalNodes>
-            1 2 438 3412. 0 -1 439 8.5000000000000000e+00 -2 -3 440 100.</internalNodes>
-          <leafValues>
-            -4.1335216164588928e-01 2.2489830851554871e-01
-            -9.9015569686889648e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.5102481842041016e+01</treeThreshold>
-          <internalNodes>
-            1 2 441 4.1150000000000000e+02 0 -1 442
-            5.0500000000000000e+01 -2 -3 443 3.0395000000000000e+03</internalNodes>
-          <leafValues>
-            -9.5133119821548462e-01 7.9551450908184052e-02
-            5.3846877813339233e-01 -1.1589291691780090e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5133154869079590e+01</treeThreshold>
-          <internalNodes>
-            1 2 444 1.9265000000000000e+03 0 -1 445
-            5.0000000000000000e-01 -2 -3 446 1.0750000000000000e+02</internalNodes>
-          <leafValues>
-            9.7796529531478882e-02 -4.9147978425025940e-01
-            5.6562197208404541e-01 -7.0251446962356567e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5480172157287598e+01</treeThreshold>
-          <internalNodes>
-            1 2 447 7.0500000000000000e+01 0 -1 448 239. -2 -3 449
-            1.1755000000000000e+03</internalNodes>
-          <leafValues>
-            4.4128131121397018e-02 -7.7577579021453857e-01
-            3.4701684117317200e-01 -8.5588878393173218e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5623726844787598e+01</treeThreshold>
-          <internalNodes>
-            1 2 450 5.0000000000000000e-01 0 -1 451 33. -2 -3 452
-            5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.8123723268508911e-01 1. 1.4355540275573730e-01
-            -7.0005464553833008e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5563958168029785e+01</treeThreshold>
-          <internalNodes>
-            1 2 453 1.5000000000000000e+00 0 -1 454
-            2.8500000000000000e+01 -2 -3 455 47.</internalNodes>
-          <leafValues>
-            -6.2908321619033813e-01 5.0617432594299316e-01
-            -3.7233376502990723e-01 8.5267359018325806e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5404257774353027e+01</treeThreshold>
-          <internalNodes>
-            1 2 456 4.1500000000000000e+01 0 -1 457
-            4.5000000000000000e+00 -2 -3 458 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4914859533309937e-01 9.4575625658035278e-01
-            -3.8208422064781189e-01 1.9698897004127502e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6029253005981445e+01</treeThreshold>
-          <internalNodes>
-            1 2 459 8.5000000000000000e+00 0 -1 460
-            3.6500000000000000e+01 -2 -3 461 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.4917742013931274e-01 6.1574220657348633e-01
-            8.2632422447204590e-01 -3.3165588974952698e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5608561515808105e+01</treeThreshold>
-          <internalNodes>
-            1 2 462 1.3500000000000000e+01 0 -1 463
-            5.3950000000000000e+02 -2 -3 464 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0597325563430786e-01 2.5814166665077209e-01
-            -7.0283818244934082e-01 3.1022888422012329e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5827486038208008e+01</treeThreshold>
-          <internalNodes>
-            1 2 465 2.5000000000000000e+00 0 -1 466
-            8.1500000000000000e+01 -2 -3 467 2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -8.6807721853256226e-01 1. 2.1892426908016205e-01
-            -6.2899088859558105e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6221029281616211e+01</treeThreshold>
-          <internalNodes>
-            1 2 468 8.9850000000000000e+02 0 -1 469
-            4.2050000000000000e+02 -2 -3 470 7.6450000000000000e+02</internalNodes>
-          <leafValues>
-            -3.1118813902139664e-02 -8.0856597423553467e-01
-            3.9354413747787476e-01 -7.0517486333847046e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6183372497558594e+01</treeThreshold>
-          <internalNodes>
-            1 2 471 2.0545000000000000e+03 0 -1 472
-            2.5050000000000000e+02 -2 -3 473 4.4995000000000000e+03</internalNodes>
-          <leafValues>
-            6.4125961065292358e-01 -8.5631817579269409e-01
-            7.6069533824920654e-01 -3.7658475339412689e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.6466924667358398e+01</treeThreshold>
-          <internalNodes>
-            1 2 474 7.5000000000000000e+00 0 -1 475
-            4.2895000000000000e+03 -2 -3 476 6.2950000000000000e+02</internalNodes>
-          <leafValues>
-            8.1660963594913483e-02 -7.4422889947891235e-01
-            4.2579609155654907e-01 -4.2402768135070801e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6026039123535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 477 5.0000000000000000e-01 0 -1 478
-            1.8500000000000000e+01 -2 -3 479 4.4850000000000000e+02</internalNodes>
-          <leafValues>
-            -3.0789500474929810e-01 5.8823746442794800e-01
-            -4.4998848438262939e-01 5.3471541404724121e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6353460311889648e+01</treeThreshold>
-          <internalNodes>
-            1 2 480 7.6050000000000000e+02 0 -1 481
-            1.9250000000000000e+02 -2 -3 482 6.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1745387315750122e-01 9.0257441997528076e-01
-            3.2742044329643250e-01 -7.8960853815078735e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6734058380126953e+01</treeThreshold>
-          <internalNodes>
-            1 2 483 2.5000000000000000e+00 0 -1 484
-            1.0500000000000000e+01 -2 -3 485 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.9715515375137329e-01 8.1663769483566284e-01
-            5.2075517177581787e-01 -1.6225169599056244e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6345090866088867e+01</treeThreshold>
-          <internalNodes>
-            1 2 486 1.1500000000000000e+01 0 -1 487
-            2.8500000000000000e+01 -2 -3 488 1.7150000000000000e+02</internalNodes>
-          <leafValues>
-            3.0138874053955078e-01 -5.6442081928253174e-01
-            9.8830562829971313e-01 -6.2377959489822388e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6049247741699219e+01</treeThreshold>
-          <internalNodes>
-            1 2 489 4.8500000000000000e+01 0 -1 490
-            4.5000000000000000e+00 -2 -3 491 15.</internalNodes>
-          <leafValues>
-            3.0436006188392639e-01 -2.9584380984306335e-01
-            -9.3031573295593262e-01 8.9746475219726562e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6490245819091797e+01</treeThreshold>
-          <internalNodes>
-            1 2 492 1.5500000000000000e+01 0 -1 493
-            1.0500000000000000e+01 -2 -3 494 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.5252333879470825e-01 -6.3438588380813599e-01
-            -4.9522089958190918e-01 4.4099876284599304e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7003578186035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 495 9.5500000000000000e+01 0 -1 496
-            4.8050000000000000e+02 -2 -3 497 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.6510402858257294e-02 5.1333212852478027e-01
-            -8.6270028352737427e-01 7.7527511119842529e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7326871871948242e+01</treeThreshold>
-          <internalNodes>
-            1 2 498 5.4050000000000000e+02 0 -1 499
-            9.3500000000000000e+01 -2 -3 500 4075.</internalNodes>
-          <leafValues>
-            8.5396260023117065e-01 -4.0819042921066284e-01
-            -8.7424677610397339e-01 -4.3737210333347321e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7417627334594727e+01</treeThreshold>
-          <internalNodes>
-            1 2 501 4.5000000000000000e+00 0 -1 502
-            2.8565000000000000e+03 -2 -3 503 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.1944847106933594e-01 -7.1486788988113403e-01
-            4.2967954277992249e-01 -7.0940160751342773e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7675552368164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 504 2.1500000000000000e+01 0 -1 505
-            3.5000000000000000e+00 -2 -3 506 3946.</internalNodes>
-          <leafValues>
-            5.1202677190303802e-02 -8.8791614770889282e-01
-            -7.7767062187194824e-01 2.5792467594146729e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7575408935546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 507 9.5000000000000000e+00 0 -1 508
-            5.8450000000000000e+02 -2 -3 509 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.6954909265041351e-01 -6.1507350206375122e-01
-            -7.3153948783874512e-01 4.1231128573417664e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7513637542724609e+01</treeThreshold>
-          <internalNodes>
-            1 2 510 2.7550000000000000e+02 0 -1 511
-            4.4650000000000000e+02 -2 -3 512 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8732649087905884e-01 9.6409857273101807e-01
-            -3.7864384055137634e-01 3.5600626468658447e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7776586532592773e+01</treeThreshold>
-          <internalNodes>
-            1 2 513 2.0075000000000000e+03 0 -1 514
-            5.5000000000000000e+00 -2 -3 515 118.</internalNodes>
-          <leafValues>
-            -4.9108317494392395e-01 2.7656924724578857e-01
-            -7.8876090049743652e-01 9.7231864929199219e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7636518478393555e+01</treeThreshold>
-          <internalNodes>
-            1 2 516 1.1250000000000000e+02 0 -1 517
-            5.0000000000000000e-01 -2 -3 518 96.</internalNodes>
-          <leafValues>
-            -6.6741842031478882e-01 2.0427951216697693e-01
-            -8.4879159927368164e-01 7.6417601108551025e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7906213760375977e+01</treeThreshold>
-          <internalNodes>
-            1 2 519 5.0000000000000000e-01 0 -1 520
-            5.5150000000000000e+02 -2 -3 521 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4012060761451721e-01 4.9110901355743408e-01
-            -7.8305160999298096e-01 -7.4652910232543945e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7903791427612305e+01</treeThreshold>
-          <internalNodes>
-            1 2 522 4.5000000000000000e+00 0 -1 523 43. -2 -3 524
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            6.1665916442871094e-01 -7.0740306377410889e-01
-            4.7637423872947693e-01 -1.9755503535270691e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8408391952514648e+01</treeThreshold>
-          <internalNodes>
-            1 2 525 5.0000000000000000e-01 0 -1 526
-            1.6500000000000000e+01 -2 -3 527 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.8571590185165405e-01 6.4138215780258179e-01
-            5.0460076332092285e-01 -1.1802505701780319e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8595077514648438e+01</treeThreshold>
-          <internalNodes>
-            1 2 528 5.8550000000000000e+02 0 -1 529
-            1.5000000000000000e+00 -2 -3 530 9.</internalNodes>
-          <leafValues>
-            -6.1554092168807983e-01 1.8668572604656219e-01
-            6.6736525297164917e-01 -9.3229418992996216e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8598781585693359e+01</treeThreshold>
-          <internalNodes>
-            1 2 531 1.0500000000000000e+01 0 -1 532 92. -2 -3 533
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5246169567108154e-01 6.4911514520645142e-01
-            7.2167778015136719e-01 -9.1329686343669891e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.8938451766967773e+01</treeThreshold>
-          <internalNodes>
-            1 2 534 1.9500000000000000e+01 0 -1 535 423. -2 -3 536
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0317068547010422e-01 -6.1221712827682495e-01
-            6.0012447834014893e-01 -5.8523362874984741e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8760560989379883e+01</treeThreshold>
-          <internalNodes>
-            1 2 537 1.4500000000000000e+01 0 -1 538
-            8.0950000000000000e+02 -2 -3 539 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.8693800568580627e-01 -4.4410958886146545e-01
-            -1.4373737573623657e-01 6.0054707527160645e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8992055892944336e+01</treeThreshold>
-          <internalNodes>
-            1 2 540 9.6050000000000000e+02 0 -1 541
-            5.0000000000000000e-01 -2 -3 542 4.2985000000000000e+03</internalNodes>
-          <leafValues>
-            3.1399947404861450e-01 -4.3735453486442566e-01
-            5.6782770156860352e-01 -7.3470437526702881e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8955116271972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 543 3.5000000000000000e+00 0 -1 544
-            1.1500000000000000e+01 -2 -3 545 321.</internalNodes>
-          <leafValues>
-            -8.4036970138549805e-01 6.5071582794189453e-01
-            2.5595465302467346e-01 -5.7423371076583862e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9468976974487305e+01</treeThreshold>
-          <internalNodes>
-            1 2 546 8.6500000000000000e+01 0 -1 547
-            2.0500000000000000e+01 -2 -3 548 5.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5299276709556580e-01 6.0038709640502930e-01
-            4.3307629227638245e-01 -9.3825417757034302e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9293138504028320e+01</treeThreshold>
-          <internalNodes>
-            1 2 549 4.7250000000000000e+02 0 -1 550 1323. -2 -3 551
-            5.9650000000000000e+02</internalNodes>
-          <leafValues>
-            5.0125539302825928e-01 -7.2148317098617554e-01
-            2.1997858583927155e-01 -9.2881590127944946e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9323114395141602e+01</treeThreshold>
-          <internalNodes>
-            1 2 552 1314. 0 -1 553 1.9850000000000000e+02 -2 -3 554
-            8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.5315421670675278e-03 -9.2719602584838867e-01
-            -7.3869484663009644e-01 9.9385118484497070e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9764301300048828e+01</treeThreshold>
-          <internalNodes>
-            1 2 555 1.5000000000000000e+00 0 -1 556
-            1.5000000000000000e+00 -2 -3 557 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.3367540836334229e-01 7.1327829360961914e-01
-            4.4118791818618774e-01 -1.8068529665470123e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9636823654174805e+01</treeThreshold>
-          <internalNodes>
-            1 2 558 1.0500000000000000e+01 0 -1 559 42. -2 -3 560
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9835877418518066e-01 -4.6136018633842468e-01
-            4.5605877041816711e-01 -4.3727838993072510e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9982168197631836e+01</treeThreshold>
-          <internalNodes>
-            1 2 561 2.0995000000000000e+03 0 -1 562
-            2.3500000000000000e+01 -2 -3 563 6.4650000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2764279842376709e-01 3.4534373879432678e-01
-            -8.4930855035781860e-01 6.6431248188018799e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0156673431396484e+01</treeThreshold>
-          <internalNodes>
-            1 2 564 4.7500000000000000e+01 0 -1 565
-            3.5000000000000000e+00 -2 -3 566 2.</internalNodes>
-          <leafValues>
-            -8.3068168163299561e-01 1.7450474202632904e-01 1.
-            -9.4794863462448120e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0342718124389648e+01</treeThreshold>
-          <internalNodes>
-            1 2 567 6.7050000000000000e+02 0 -1 568
-            3.8850000000000000e+02 -2 -3 569 2.5755000000000000e+03</internalNodes>
-          <leafValues>
-            -9.3422073125839233e-01 7.7690583467483521e-01
-            1.8604567646980286e-01 -6.9958645105361938e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0286355972290039e+01</treeThreshold>
-          <internalNodes>
-            1 2 570 1.5000000000000000e+00 0 -1 571
-            7.5000000000000000e+00 -2 -3 572 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.9801106452941895e-01 9.1817361116409302e-01
-            5.1868724822998047e-01 -1.3428531587123871e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0473787307739258e+01</treeThreshold>
-          <internalNodes>
-            1 2 573 1.1500000000000000e+01 0 -1 574
-            6.5000000000000000e+00 -2 -3 575 4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0607861876487732e-01 3.6932748556137085e-01
-            9.0319371223449707e-01 -7.2204840183258057e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0658784866333008e+01</treeThreshold>
-          <internalNodes>
-            1 2 576 7.5000000000000000e+00 0 -1 577 3433. -2 -3 578
-            6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9685469567775726e-01 -4.9899685382843018e-01
-            -7.9635071754455566e-01 5.0583815574645996e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0441154479980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 579 5.0000000000000000e-01 0 -1 580
-            3.5000000000000000e+00 -2 -3 581 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8347612619400024e-01 4.0611305832862854e-01
-            -5.7296335697174072e-01 2.9519164562225342e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0645282745361328e+01</treeThreshold>
-          <internalNodes>
-            1 2 582 143. 0 -1 583 6.8650000000000000e+02 -2 -3 584 649.</internalNodes>
-          <leafValues>
-            -6.6834068298339844e-01 2.0412844419479370e-01
-            -9.8975163698196411e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.0787359237670898e+01</treeThreshold>
-          <internalNodes>
-            1 2 585 5.0000000000000000e-01 0 -1 586
-            1.1050000000000000e+02 -2 -3 587 2.1595000000000000e+03</internalNodes>
-          <leafValues>
-            -9.9584645032882690e-01 1. 1.4207656681537628e-01
-            -7.9576474428176880e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0707267761230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 588 4.0500000000000000e+01 0 -1 589
-            5.0000000000000000e-01 -2 -3 590 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6863887012004852e-01 -7.4707168340682983e-01
-            2.8594267368316650e-01 -6.7254680395126343e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0992578506469727e+01</treeThreshold>
-          <internalNodes>
-            1 2 591 1.5000000000000000e+00 0 -1 592
-            3.5775000000000000e+03 -2 -3 593 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.0894987583160400e-01 3.7313565611839294e-01
-            -6.0100066661834717e-01 6.3888049125671387e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0971927642822266e+01</treeThreshold>
-          <internalNodes>
-            1 2 594 9.7950000000000000e+02 0 -1 595
-            2.5000000000000000e+00 -2 -3 596 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.5684701204299927e-01 3.9113646745681763e-01
-            -7.6442521810531616e-01 3.0187612865120173e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.1057394027709961e+01</treeThreshold>
-          <internalNodes>
-            1 2 597 1.4905000000000000e+03 0 -1 598
-            9.5000000000000000e+00 -2 -3 599 240.</internalNodes>
-          <leafValues>
-            -6.4642834663391113e-01 2.3087054491043091e-01
-            -7.9448556900024414e-01 7.0878070592880249e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1131835937500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 600 5.0000000000000000e-01 0 -1 601
-            1.1500000000000000e+01 -2 -3 602 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5756827592849731e-01 -4.2822453379631042e-01
-            -5.9723109006881714e-01 7.4441045522689819e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1433628082275391e+01</treeThreshold>
-          <internalNodes>
-            1 2 603 1.5000000000000000e+00 0 -1 604
-            7.5000000000000000e+00 -2 -3 605 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7854373455047607e-01 7.6638579368591309e-01
-            3.0179315805435181e-01 -3.0907711386680603e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1259273529052734e+01</treeThreshold>
-          <internalNodes>
-            1 2 606 1.2500000000000000e+01 0 -1 607
-            1.1125000000000000e+03 -2 -3 608 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3398761749267578e-01 -1.8727415800094604e-01
-            -8.8575565814971924e-01 1.4398224651813507e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1612953186035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 609 1.3315000000000000e+03 0 -1 610
-            4.0350000000000000e+02 -2 -3 611 6.3550000000000000e+02</internalNodes>
-          <leafValues>
-            8.9413803815841675e-01 -6.8928855657577515e-01
-            -6.9387888908386230e-01 3.5367938876152039e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1826734542846680e+01</treeThreshold>
-          <internalNodes>
-            1 2 612 1.1500000000000000e+01 0 -1 613 738. -2 -3 614
-            1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            8.1296756863594055e-02 -5.6762868165969849e-01
-            6.0727953910827637e-01 -3.7829330563545227e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1813869476318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 615 6.5000000000000000e+00 0 -1 616
-            7.7500000000000000e+01 -2 -3 617 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1756103634834290e-01 -7.3381489515304565e-01
-            -6.3975960016250610e-01 3.6597716808319092e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1798274993896484e+01</treeThreshold>
-          <internalNodes>
-            1 2 618 9.8500000000000000e+01 0 -1 619
-            8.5000000000000000e+00 -2 -3 620 28.</internalNodes>
-          <leafValues>
-            -8.9957195520401001e-01 -1.5594468452036381e-02
-            9.6554172039031982e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.2045146942138672e+01</treeThreshold>
-          <internalNodes>
-            1 2 621 1.0500000000000000e+01 0 -1 622
-            1.2150000000000000e+02 -2 -3 623 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4687227606773376e-01 -6.0773706436157227e-01
-            6.2245130538940430e-01 -8.7604373693466187e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2289304733276367e+01</treeThreshold>
-          <internalNodes>
-            1 2 624 2.1500000000000000e+01 0 -1 625 2144. -2 -3 626
-            5056.</internalNodes>
-          <leafValues>
-            7.7314263582229614e-01 -6.9932037591934204e-01
-            2.4415786564350128e-01 -8.8758051395416260e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2602016448974609e+01</treeThreshold>
-          <internalNodes>
-            1 2 627 1.5000000000000000e+00 0 -1 628
-            5.0000000000000000e-01 -2 -3 629 8.1195000000000000e+03</internalNodes>
-          <leafValues>
-            -7.8916621208190918e-01 2.9944726824760437e-01
-            -6.2123262882232666e-01 4.2162239551544189e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2234420776367188e+01</treeThreshold>
-          <internalNodes>
-            1 2 630 1.3750000000000000e+02 0 -1 631
-            1.4500000000000000e+01 -2 -3 632 2.7050000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3317313194274902e-01 4.4363144040107727e-01
-            7.8055197000503540e-01 -1.7540968954563141e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.2243850708007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 633 2.2500000000000000e+01 0 -1 634
-            2.3085000000000000e+03 -2 -3 635 42.</internalNodes>
-          <leafValues>
-            -3.4062522649765015e-01 3.7752479314804077e-01
-            -7.3773044347763062e-01 9.6723818778991699e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2620014190673828e+01</treeThreshold>
-          <internalNodes>
-            1 2 636 2.5450000000000000e+02 0 -1 637 1638. -2 -3 638
-            7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 5.5116891860961914e-01 5.1822501420974731e-01
-            -4.3004354834556580e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2705764770507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 639 8.0500000000000000e+01 0 -1 640
-            6.2500000000000000e+01 -2 -3 641 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.8537842929363251e-02 -7.3003268241882324e-01
-            -4.5735052227973938e-01 4.5716404914855957e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3073215484619141e+01</treeThreshold>
-          <internalNodes>
-            1 2 642 5.0000000000000000e-01 0 -1 643 67. -2 -3 644
-            1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.7742471098899841e-01 -4.7727224230766296e-01
-            -7.2737669944763184e-01 -3.9639626629650593e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.2770978927612305e+01</treeThreshold>
-          <internalNodes>
-            1 2 645 5.0000000000000000e-01 0 -1 646
-            3.4500000000000000e+01 -2 -3 647 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7273349761962891e-01 4.8523208498954773e-01
-            -4.1221085190773010e-01 7.4450951814651489e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3053560256958008e+01</treeThreshold>
-          <internalNodes>
-            1 2 648 5.8500000000000000e+01 0 -1 649
-            3.5000000000000000e+00 -2 -3 650 4091.</internalNodes>
-          <leafValues>
-            -6.9219940900802612e-01 2.8258267045021057e-01
-            -7.4919438362121582e-01 6.5003573894500732e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3276559829711914e+01</treeThreshold>
-          <internalNodes>
-            1 2 651 5.6950000000000000e+02 0 -1 652
-            8.5000000000000000e+00 -2 -3 653 3477.</internalNodes>
-          <leafValues>
-            -6.9101506471633911e-01 3.5786962509155273e-01
-            2.2299802303314209e-01 -9.4931131601333618e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3533079147338867e+01</treeThreshold>
-          <internalNodes>
-            1 2 654 5.5000000000000000e+00 0 -1 655 332. -2 -3 656
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7509003877639771e-01 2.4864099919795990e-01
-            -8.9089441299438477e-01 2.5652095675468445e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3692926406860352e+01</treeThreshold>
-          <internalNodes>
-            1 2 657 179. 0 -1 658 6.5000000000000000e+00 -2 -3 659
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2848848104476929e-01 1.5984721481800079e-01
-            -9.5576328039169312e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.3690643310546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 660 6.5000000000000000e+00 0 -1 661
-            7.7150000000000000e+02 -2 -3 662 1.0650000000000000e+02</internalNodes>
-          <leafValues>
-            5.1587861776351929e-01 -4.7098684310913086e-01
-            -7.3770999908447266e-01 -2.2840783931314945e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.3260368347167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 663 8.2500000000000000e+01 0 -1 664 495. -2 -3 665
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7576848864555359e-01 -4.3027460575103760e-01
-            -8.6191612482070923e-01 8.7688070535659790e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3660942077636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 666 1.7500000000000000e+01 0 -1 667
-            1.0865000000000000e+03 -2 -3 668 2.0250000000000000e+02</internalNodes>
-          <leafValues>
-            4.7176504135131836e-01 -5.2642983198165894e-01
-            4.0057408809661865e-01 -8.7875026464462280e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4066463470458984e+01</treeThreshold>
-          <internalNodes>
-            1 2 669 5.0000000000000000e-01 0 -1 670
-            1.5000000000000000e+00 -2 -3 671 4.7075000000000000e+03</internalNodes>
-          <leafValues>
-            -6.6087967157363892e-01 4.0552178025245667e-01
-            -6.2758755683898926e-01 1.0652454942464828e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4266839981079102e+01</treeThreshold>
-          <internalNodes>
-            1 2 672 2.0350000000000000e+02 0 -1 673
-            2.5000000000000000e+00 -2 -3 674 39.</internalNodes>
-          <leafValues>
-            2.8337255120277405e-01 -3.3040466904640198e-01
-            -9.6718847751617432e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.4499465942382812e+01</treeThreshold>
-          <internalNodes>
-            1 2 675 4.5000000000000000e+00 0 -1 676
-            8.5500000000000000e+01 -2 -3 677 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5911253690719604e-01 -9.6787214279174805e-01
-            -6.9402277469635010e-01 5.6080824136734009e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4309822082519531e+01</treeThreshold>
-          <internalNodes>
-            1 2 678 1971. 0 -1 679 1.9250000000000000e+02 -2 -3 680
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.1612957119941711e-01 4.7077748179435730e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.4519950866699219e+01</treeThreshold>
-          <internalNodes>
-            1 2 681 2.5000000000000000e+00 0 -1 682
-            6.4500000000000000e+01 -2 -3 683 5182.</internalNodes>
-          <leafValues>
-            -8.2460224628448486e-01 8.7737298011779785e-01
-            2.1012841165065765e-01 -8.8150328397750854e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4720569610595703e+01</treeThreshold>
-          <internalNodes>
-            1 2 684 1.3650000000000000e+02 0 -1 685 25. -2 -3 686
-            1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2181477546691895e-01 9.6672326326370239e-01
-            -5.3705835342407227e-01 2.0061893761157990e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4895112991333008e+01</treeThreshold>
-          <internalNodes>
-            1 2 687 5.6150000000000000e+02 0 -1 688
-            2.2500000000000000e+01 -2 -3 689 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6230182647705078e-01 -4.9504366517066956e-01
-            -7.3248720169067383e-01 2.2656767070293427e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5140346527099609e+01</treeThreshold>
-          <internalNodes>
-            1 2 690 8.2750000000000000e+02 0 -1 691
-            2.0500000000000000e+01 -2 -3 692 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -7.5348693132400513e-01 2.4523276090621948e-01
-            -7.0938748121261597e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5441709518432617e+01</treeThreshold>
-          <internalNodes>
-            1 2 693 5.5500000000000000e+01 0 -1 694 107. -2 -3 695 1485.</internalNodes>
-          <leafValues>
-            -9.0809267759323120e-01 3.3544850349426270e-01
-            3.0136233568191528e-01 -5.6638139486312866e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5376996994018555e+01</treeThreshold>
-          <internalNodes>
-            1 2 696 8.6950000000000000e+02 0 -1 697
-            7.9550000000000000e+02 -2 -3 698 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            7.4912220239639282e-01 -3.0485934019088745e-01
-            -7.2537702322006226e-01 7.1400356292724609e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5612064361572266e+01</treeThreshold>
-          <internalNodes>
-            1 2 699 5.5000000000000000e+00 0 -1 700 138. -2 -3 701 116.</internalNodes>
-          <leafValues>
-            -7.7075809240341187e-01 3.9907371997833252e-01
-            2.3506735265254974e-01 -8.8968700170516968e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5189540863037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 702 5.0000000000000000e-01 0 -1 703
-            6.5000000000000000e+00 -2 -3 704 3.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.5147231817245483e-01 5.4190635681152344e-01
-            -4.4539606571197510e-01 2.2795633971691132e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5407213211059570e+01</treeThreshold>
-          <internalNodes>
-            1 2 705 3.3500000000000000e+01 0 -1 706
-            1.1500000000000000e+01 -2 -3 707 1901.</internalNodes>
-          <leafValues>
-            -7.7322483062744141e-01 2.1767215430736542e-01
-            9.4849103689193726e-01 -8.7567967176437378e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5786802291870117e+01</treeThreshold>
-          <internalNodes>
-            1 2 708 8.5000000000000000e+00 0 -1 709
-            2.5000000000000000e+00 -2 -3 710 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5751757621765137e-01 3.7958872318267822e-01
-            -4.7660508751869202e-01 4.8092725872993469e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5473979949951172e+01</treeThreshold>
-          <internalNodes>
-            1 2 711 1.5000000000000000e+00 0 -1 712
-            7.4500000000000000e+01 -2 -3 713 5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9737165570259094e-01 -8.2402235269546509e-01
-            -6.5980869531631470e-01 6.1398154497146606e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5540870666503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 714 3.7350000000000000e+02 0 -1 715
-            2.9505000000000000e+03 -2 -3 716 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5127277374267578e-01 6.5197062492370605e-01
-            -6.7328959703445435e-01 1.1752647906541824e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5936344146728516e+01</treeThreshold>
-          <internalNodes>
-            1 2 717 2.8050000000000000e+02 0 -1 718
-            8.2650000000000000e+02 -2 -3 719 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.2938359975814819e-01 3.9547443389892578e-01
-            -5.2698332071304321e-01 4.4910645484924316e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6225696563720703e+01</treeThreshold>
-          <internalNodes>
-            1 2 720 1.9500000000000000e+01 0 -1 721
-            2.5000000000000000e+00 -2 -3 722 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6689567267894745e-01 -7.3722118139266968e-01
-            -9.5677989721298218e-01 2.8935295343399048e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6555488586425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 723 2.5000000000000000e+00 0 -1 724
-            1.2500000000000000e+01 -2 -3 725 1631.</internalNodes>
-          <leafValues>
-            4.2182460427284241e-01 -3.9694768190383911e-01
-            4.5795905590057373e-01 -6.3281345367431641e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6691946029663086e+01</treeThreshold>
-          <internalNodes>
-            1 2 726 3.5000000000000000e+00 0 -1 727 21. -2 -3 728
-            4.6085000000000000e+03</internalNodes>
-          <leafValues>
-            -9.2932611703872681e-01 7.4499356746673584e-01
-            -7.0849519968032837e-01 1.8352256715297699e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6950445175170898e+01</treeThreshold>
-          <internalNodes>
-            1 2 729 1.4500000000000000e+01 0 -1 730 4. -2 -3 731
-            1.0350000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1716350317001343e-01 9.3681764602661133e-01
-            2.5849872827529907e-01 -4.7314143180847168e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6939081192016602e+01</treeThreshold>
-          <internalNodes>
-            1 2 732 1.5000000000000000e+00 0 -1 733
-            2.0795000000000000e+03 -2 -3 734 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1902434527873993e-01 -4.7005906701087952e-01
-            -8.4192562103271484e-01 4.5465546846389771e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7115922927856445e+01</treeThreshold>
-          <internalNodes>
-            1 2 735 1.6195000000000000e+03 0 -1 736
-            4.0500000000000000e+01 -2 -3 737 1.4615000000000000e+03</internalNodes>
-          <leafValues>
-            -8.8821536302566528e-01 9.0963160991668701e-01
-            1.7684206366539001e-01 -9.4462066888809204e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6933712005615234e+01</treeThreshold>
-          <internalNodes>
-            1 2 738 7.6500000000000000e+01 0 -1 739
-            2.5000000000000000e+00 -2 -3 740 5.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7025911808013916e-01 5.9105753898620605e-01
-            -6.4823073148727417e-01 6.9816927425563335e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.7318225860595703e+01</treeThreshold>
-          <internalNodes>
-            1 2 741 1.0500000000000000e+01 0 -1 742
-            6.5000000000000000e+00 -2 -3 743 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.2393940687179565e-01 4.3340095877647400e-01
-            2.4541635811328888e-01 -5.6279599666595459e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7502586364746094e+01</treeThreshold>
-          <internalNodes>
-            1 2 744 1.3500000000000000e+01 0 -1 745
-            1.2225000000000000e+03 -2 -3 746 5.4150000000000000e+02</internalNodes>
-          <leafValues>
-            5.5172622203826904e-01 -7.2232311964035034e-01
-            4.6869617700576782e-01 -1.8173764646053314e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7214946746826172e+01</treeThreshold>
-          <internalNodes>
-            1 2 747 1.4150000000000000e+02 0 -1 748
-            3.7950000000000000e+02 -2 -3 749 61.</internalNodes>
-          <leafValues>
-            -4.1489991545677185e-01 2.9794070124626160e-01
-            -8.2065957784652710e-01 8.2294362783432007e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7621316909790039e+01</treeThreshold>
-          <internalNodes>
-            1 2 750 1.1500000000000000e+01 0 -1 751
-            4.5000000000000000e+00 -2 -3 752 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9229009151458740e-01 6.2740081548690796e-01
-            -1.7920996248722076e-01 4.1656208038330078e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7612428665161133e+01</treeThreshold>
-          <internalNodes>
-            1 2 753 5.0000000000000000e-01 0 -1 754
-            2.8500000000000000e+01 -2 -3 755 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.2633483409881592e-01 -8.3926248550415039e-01
-            -5.7256150245666504e-01 4.7886747121810913e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7621551513671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 756 3.9500000000000000e+01 0 -1 757
-            4.5000000000000000e+00 -2 -3 758 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9190528392791748e-01 7.2100400924682617e-01
-            -6.1043661832809448e-01 2.2514465451240540e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7723453521728516e+01</treeThreshold>
-          <internalNodes>
-            1 2 759 1.6500000000000000e+01 0 -1 760
-            4.4500000000000000e+01 -2 -3 761 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8901249170303345e-01 -6.9448781013488770e-01
-            -6.7865383625030518e-01 2.3160243034362793e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7726175308227539e+01</treeThreshold>
-          <internalNodes>
-            1 2 762 1.7575000000000000e+03 0 -1 763
-            4.8150000000000000e+02 -2 -3 764 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.7173323035240173e-01 5.9590691328048706e-01 1.
-            -9.7047579288482666e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7928655624389648e+01</treeThreshold>
-          <internalNodes>
-            1 2 765 4.5000000000000000e+00 0 -1 766
-            1.0065000000000000e+03 -2 -3 767 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.0247912406921387e-01 -7.2847056388854980e-01
-            -7.9157161712646484e-01 8.0997580289840698e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7728637695312500e+01</treeThreshold>
-          <internalNodes>
-            1 2 768 1.0500000000000000e+01 0 -1 769
-            4.5115000000000000e+03 -2 -3 770 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2019289731979370e-01 -5.3036731481552124e-01
-            1.8375186249613762e-02 7.1707320213317871e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7544672012329102e+01</treeThreshold>
-          <internalNodes>
-            1 2 771 5.0000000000000000e-01 0 -1 772
-            6.5000000000000000e+00 -2 -3 773 141.</internalNodes>
-          <leafValues>
-            -7.9169616103172302e-02 7.2869366407394409e-01
-            -4.0235754847526550e-01 7.5083994865417480e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7790304183959961e+01</treeThreshold>
-          <internalNodes>
-            1 2 774 4.9500000000000000e+01 0 -1 775
-            5.5500000000000000e+01 -2 -3 776 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4563054740428925e-01 -7.8368049860000610e-01
-            -8.9967381954193115e-01 5.1768815517425537e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8035869598388672e+01</treeThreshold>
-          <internalNodes>
-            1 2 777 2.5000000000000000e+00 0 -1 778
-            6.5000000000000000e+00 -2 -3 779 2.7450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9386472702026367e-01 8.1500089168548584e-01
-            2.4556700885295868e-01 -4.2904964089393616e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8410558700561523e+01</treeThreshold>
-          <internalNodes>
-            1 2 780 8.0500000000000000e+01 0 -1 781
-            1.6500000000000000e+01 -2 -3 782 5.4050000000000000e+02</internalNodes>
-          <leafValues>
-            1.7172537744045258e-01 -6.2181609869003296e-01
-            -8.8481485843658447e-01 3.7468841671943665e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8699789047241211e+01</treeThreshold>
-          <internalNodes>
-            1 2 783 2.9785000000000000e+03 0 -1 784
-            2.5000000000000000e+00 -2 -3 785 1.5435000000000000e+03</internalNodes>
-          <leafValues>
-            -4.2753055691719055e-01 2.8923121094703674e-01
-            -6.7698192596435547e-01 6.4550709724426270e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8761243820190430e+01</treeThreshold>
-          <internalNodes>
-            1 2 786 5.0000000000000000e-01 0 -1 787
-            5.0000000000000000e-01 -2 -3 788 737.</internalNodes>
-          <leafValues>
-            -6.4694476127624512e-01 6.8557661771774292e-01
-            -3.9006941020488739e-02 -8.6166292428970337e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8647882461547852e+01</treeThreshold>
-          <internalNodes>
-            1 2 789 6.7500000000000000e+01 0 -1 790
-            5.5000000000000000e+00 -2 -3 791 7.</internalNodes>
-          <leafValues>
-            1.9915813207626343e-01 -3.6753433942794800e-01
-            9.2020016908645630e-01 -9.4368237257003784e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8875740051269531e+01</treeThreshold>
-          <internalNodes>
-            1 2 792 1.9135000000000000e+03 0 -1 793
-            1.1050000000000000e+02 -2 -3 794 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.2780048847198486e-01 -8.9423495531082153e-01
-            -8.4068304300308228e-01 2.2785744071006775e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9072935104370117e+01</treeThreshold>
-          <internalNodes>
-            1 2 795 2.5000000000000000e+00 0 -1 796
-            5.5000000000000000e+00 -2 -3 797 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2929813861846924e-01 7.2042435407638550e-01
-            1.9719591736793518e-01 -5.5431854724884033e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9138673782348633e+01</treeThreshold>
-          <internalNodes>
-            1 2 798 1.0050000000000000e+02 0 -1 799
-            1.5000000000000000e+00 -2 -3 800 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4678048491477966e-01 3.4682708978652954e-01
-            -9.5431810617446899e-01 4.5664411783218384e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9052175521850586e+01</treeThreshold>
-          <internalNodes>
-            1 2 801 5.0000000000000000e-01 0 -1 802
-            1.5000000000000000e+00 -2 -3 803 6.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4168990850448608e-02 7.1325784921646118e-01
-            -5.5271577835083008e-01 1.8420556187629700e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9330022811889648e+01</treeThreshold>
-          <internalNodes>
-            1 2 804 3.8150000000000000e+02 0 -1 805
-            2.2500000000000000e+01 -2 -3 806 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2190852165222168e-01 5.3806591033935547e-01
-            4.2104244232177734e-01 -7.3786729574203491e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9613933563232422e+01</treeThreshold>
-          <internalNodes>
-            1 2 807 3400. 0 -1 808 6.5000000000000000e+00 -2 -3 809 65.</internalNodes>
-          <leafValues>
-            -7.2601109743118286e-01 2.8390964865684509e-01
-            -7.5218343734741211e-01 8.2199627161026001e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9662286758422852e+01</treeThreshold>
-          <internalNodes>
-            1 2 810 3.5500000000000000e+01 0 -1 811
-            4.5000000000000000e+00 -2 -3 812 1.9895000000000000e+03</internalNodes>
-          <leafValues>
-            4.8528853058815002e-01 -4.5970219373703003e-01
-            5.2159059047698975e-01 -3.5259509086608887e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0010950088500977e+01</treeThreshold>
-          <internalNodes>
-            1 2 813 3.7500000000000000e+01 0 -1 814
-            1.5000000000000000e+00 -2 -3 815 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6858716607093811e-01 3.4866285324096680e-01
-            5.0721812248229980e-01 -7.1738111972808838e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0259206771850586e+01</treeThreshold>
-          <internalNodes>
-            1 2 816 5.0000000000000000e-01 0 -1 817
-            1.5000000000000000e+00 -2 -3 818 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2673883438110352e-01 2.4825666844844818e-01
-            -6.8298560380935669e-01 5.7589280605316162e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0020807266235352e+01</treeThreshold>
-          <internalNodes>
-            1 2 819 83. 0 -1 820 1.0535000000000000e+03 -2 -3 821
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.0070614814758301e-01 -2.3839974403381348e-01
-            -9.7618216276168823e-01 8.3897125720977783e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9989406585693359e+01</treeThreshold>
-          <internalNodes>
-            1 2 822 1.8950000000000000e+02 0 -1 823
-            1.1500000000000000e+01 -2 -3 824 9.4350000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3252147436141968e-01 8.0616372823715210e-01
-            6.4727967977523804e-01 -3.1400017440319061e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0537582397460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 825 137. 0 -1 826 1.2500000000000000e+01 -2 -3 827
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7069351077079773e-01 -5.2906340360641479e-01
-            -6.5592831373214722e-01 6.3111066818237305e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0424352645874023e+01</treeThreshold>
-          <internalNodes>
-            1 2 828 3.5000000000000000e+00 0 -1 829
-            5.2500000000000000e+01 -2 -3 830 4.6925000000000000e+03</internalNodes>
-          <leafValues>
-            -5.9484475851058960e-01 9.3662506341934204e-01
-            -1.9616512954235077e-01 5.3609508275985718e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0629121780395508e+01</treeThreshold>
-          <internalNodes>
-            1 2 831 5.6500000000000000e+01 0 -1 832
-            1.4500000000000000e+01 -2 -3 833 1.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8516901731491089e-01 2.3027215898036957e-01 1.
-            -9.8997932672500610e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0788936614990234e+01</treeThreshold>
-          <internalNodes>
-            1 2 834 3.5000000000000000e+00 0 -1 835
-            6.5350000000000000e+02 -2 -3 836 11093.</internalNodes>
-          <leafValues>
-            -9.8764348030090332e-01 4.6165758371353149e-01
-            1.5981569886207581e-01 -6.9765907526016235e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1141653060913086e+01</treeThreshold>
-          <internalNodes>
-            1 2 837 4.5000000000000000e+00 0 -1 838
-            4.1450000000000000e+02 -2 -3 839 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2362187057733536e-02 -7.4213159084320068e-01
-            4.0540441870689392e-01 -7.6012396812438965e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0861505508422852e+01</treeThreshold>
-          <internalNodes>
-            1 2 840 5.0000000000000000e-01 0 -1 841
-            5.6050000000000000e+02 -2 -3 842 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3283695578575134e-01 4.4167187809944153e-01
-            -6.5066546201705933e-01 1.7719769477844238e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1108386993408203e+01</treeThreshold>
-          <internalNodes>
-            1 2 843 6.5000000000000000e+00 0 -1 844
-            1.6500000000000000e+01 -2 -3 845 1.7550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6530058383941650e-01 3.4583663940429688e-01
-            4.2246490716934204e-01 -4.7493830323219299e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0905292510986328e+01</treeThreshold>
-          <internalNodes>
-            1 2 846 5.0000000000000000e-01 0 -1 847
-            5.0000000000000000e-01 -2 -3 848 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.8497194051742554e-01 6.4031112194061279e-01
-            2.4801021814346313e-01 -3.7024465203285217e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1213197708129883e+01</treeThreshold>
-          <internalNodes>
-            1 2 849 5.5000000000000000e+00 0 -1 850
-            4.7500000000000000e+01 -2 -3 851 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.6301777362823486e-01 -6.2367314100265503e-01
-            -6.4380615949630737e-01 3.0790489912033081e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1416584014892578e+01</treeThreshold>
-          <internalNodes>
-            1 2 852 4.3500000000000000e+01 0 -1 853
-            1.0075000000000000e+03 -2 -3 854 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0338761806488037e-01 -6.1455827951431274e-01
-            -7.8569060564041138e-01 9.5953434705734253e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1777565002441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 855 6.0500000000000000e+01 0 -1 856
-            8.5000000000000000e+00 -2 -3 857 36.</internalNodes>
-          <leafValues>
-            -8.4394145011901855e-01 -3.6948818713426590e-02 -1.
-            7.5613290071487427e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1868429183959961e+01</treeThreshold>
-          <internalNodes>
-            1 2 858 1.0995000000000000e+03 0 -1 859
-            1.5000000000000000e+00 -2 -3 860 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            6.7010629177093506e-01 -8.0424994230270386e-01
-            3.4220331907272339e-01 -2.0251852273941040e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2119094848632812e+01</treeThreshold>
-          <internalNodes>
-            1 2 861 1.2500000000000000e+01 0 -1 862
-            3.1500000000000000e+01 -2 -3 863 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0597108602523804e-01 8.6892396211624146e-01
-            2.5066429376602173e-01 -6.2346094846725464e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2155685424804688e+01</treeThreshold>
-          <internalNodes>
-            1 2 864 1.8950000000000000e+02 0 -1 865 57. -2 -3 866
-            2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4910677671432495e-01 1. 3.7413713335990906e-01
-            -2.5834947824478149e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2015361785888672e+01</treeThreshold>
-          <internalNodes>
-            1 2 867 1.3550000000000000e+02 0 -1 868
-            5.2750000000000000e+02 -2 -3 869 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7796685695648193e-01 6.6702580451965332e-01
-            -4.7787085175514221e-01 1.4796376228332520e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1791172027587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 870 1.0500000000000000e+01 0 -1 871
-            1.5000000000000000e+00 -2 -3 872 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8536421060562134e-01 4.9085628986358643e-01
-            -6.3147133588790894e-01 1.6832475364208221e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1905895233154297e+01</treeThreshold>
-          <internalNodes>
-            1 2 873 1.5000000000000000e+00 0 -1 874 42. -2 -3 875
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.4199193120002747e-01 -8.8441103696823120e-01
-            -1.7228755354881287e-01 4.5159018039703369e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1859363555908203e+01</treeThreshold>
-          <internalNodes>
-            1 2 876 5.0000000000000000e-01 0 -1 877
-            2.5500000000000000e+01 -2 -3 878 9.4550000000000000e+02</internalNodes>
-          <leafValues>
-            5.9279948472976685e-01 -2.5542417168617249e-01
-            4.9418550729751587e-01 -4.7456571459770203e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2239162445068359e+01</treeThreshold>
-          <internalNodes>
-            1 2 879 5.3500000000000000e+01 0 -1 880
-            4.5000000000000000e+00 -2 -3 881 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.3520237207412720e-01 -6.6513210535049438e-01
-            -3.7311753630638123e-01 3.7980049848556519e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2603000640869141e+01</treeThreshold>
-          <internalNodes>
-            1 2 882 8.3850000000000000e+02 0 -1 883
-            8.6500000000000000e+01 -2 -3 884 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.6610033810138702e-01 5.5568897724151611e-01
-            2.8593140840530396e-01 -8.1610012054443359e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2873931884765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 885 9.5000000000000000e+00 0 -1 886
-            1.4150000000000000e+02 -2 -3 887 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7093270421028137e-01 -5.1437872648239136e-01
-            8.1497925519943237e-01 -7.3167830705642700e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2916114807128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 888 6.7250000000000000e+02 0 -1 889
-            2.5500000000000000e+01 -2 -3 890 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.9060255736112595e-02 -6.9740939140319824e-01
-            -6.7421448230743408e-01 4.8431751132011414e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3245323181152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 891 1.0500000000000000e+01 0 -1 892
-            8.6500000000000000e+01 -2 -3 893 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1663192510604858e-01 4.0390256047248840e-01
-            -6.7292958498001099e-01 3.2920929789543152e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3257518768310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 894 5.0000000000000000e-01 0 -1 895
-            9.5500000000000000e+01 -2 -3 896 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.6125457286834717e-01 -7.1330851316452026e-01
-            5.2750295400619507e-01 -5.3229171037673950e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3523788452148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 897 9.5000000000000000e+00 0 -1 898
-            1.5500000000000000e+01 -2 -3 899 4.3650000000000000e+02</internalNodes>
-          <leafValues>
-            7.4386167526245117e-01 -9.6170389652252197e-01
-            3.7622943520545959e-01 -2.1613618731498718e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3737613677978516e+01</treeThreshold>
-          <internalNodes>
-            1 2 900 3.5000000000000000e+00 0 -1 901
-            8.5000000000000000e+00 -2 -3 902 2199.</internalNodes>
-          <leafValues>
-            -6.8732953071594238e-01 4.9332359433174133e-01
-            2.2702258825302124e-01 -9.8770850896835327e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3653835296630859e+01</treeThreshold>
-          <internalNodes>
-            1 2 903 1.1500000000000000e+01 0 -1 904
-            7.5000000000000000e+00 -2 -3 905 2.7050000000000000e+02</internalNodes>
-          <leafValues>
-            -4.7830480337142944e-01 4.9322032928466797e-01
-            -5.1515823602676392e-01 3.1019908189773560e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3810070037841797e+01</treeThreshold>
-          <internalNodes>
-            1 2 906 6.5000000000000000e+00 0 -1 907
-            1.0500000000000000e+01 -2 -3 908 867.</internalNodes>
-          <leafValues>
-            3.3138540387153625e-01 -2.6744303107261658e-01
-            -9.2749148607254028e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>3.4129577636718750e+01</treeThreshold>
-          <internalNodes>
-            1 2 909 1.6500000000000000e+01 0 -1 910
-            5.3050000000000000e+02 -2 -3 911 1781.</internalNodes>
-          <leafValues>
-            6.7194348573684692e-01 -6.2229406833648682e-01
-            -7.0593923330307007e-01 3.7362939119338989e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3717624664306641e+01</treeThreshold>
-          <internalNodes>
-            1 2 912 5.5000000000000000e+00 0 -1 913
-            5.6550000000000000e+02 -2 -3 914 3.7550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.5654790401458740e-01 3.5677254199981689e-01
-            4.5081639289855957e-01 -6.4122611284255981e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3252494812011719e+01</treeThreshold>
-          <internalNodes>
-            1 2 915 2.8150000000000000e+02 0 -1 916
-            1.9775000000000000e+03 -2 -3 917 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.7867177724838257e-01 -6.4670372009277344e-01
-            -4.6513071656227112e-01 2.1713301539421082e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3488639831542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 918 6.2500000000000000e+01 0 -1 919
-            3.5000000000000000e+00 -2 -3 920 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6731938123703003e-01 2.3614448308944702e-01
-            -9.4595444202423096e-01 5.4001647233963013e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3984142303466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 921 3.5000000000000000e+00 0 -1 922
-            1.2050000000000000e+02 -2 -3 923 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0896291136741638e-01 5.7216274738311768e-01
-            -6.0472279787063599e-01 4.7352880239486694e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4265426635742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 924 1.5000000000000000e+00 0 -1 925
-            2.6150000000000000e+02 -2 -3 926 9.0500000000000000e+01</internalNodes>
-          <leafValues>
-            9.4074803590774536e-01 -6.7150580883026123e-01
-            2.8128537535667419e-01 -4.7385811805725098e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4247104644775391e+01</treeThreshold>
-          <internalNodes>
-            1 2 927 5.1875000000000000e+03 0 -1 928
-            1.5000000000000000e+00 -2 -3 929 113.</internalNodes>
-          <leafValues>
-            -7.9879760742187500e-01 1.5954677760601044e-01
-            -9.7634953260421753e-01 6.6887116432189941e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4600574493408203e+01</treeThreshold>
-          <internalNodes>
-            1 2 930 2.2945000000000000e+03 0 -1 931
-            3.4500000000000000e+01 -2 -3 932 1.1745000000000000e+03</internalNodes>
-          <leafValues>
-            5.7989984750747681e-01 -4.9893951416015625e-01
-            3.5346877574920654e-01 -8.6138629913330078e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4355884552001953e+01</treeThreshold>
-          <internalNodes>
-            1 2 933 2.3500000000000000e+01 0 -1 934
-            2.4500000000000000e+01 -2 -3 935 12.</internalNodes>
-          <leafValues>
-            -2.4468979239463806e-01 6.1856859922409058e-01
-            -9.5042270421981812e-01 8.5911560058593750e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4614818572998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 936 1.5000000000000000e+00 0 -1 937
-            4.5000000000000000e+00 -2 -3 938 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.4536230266094208e-01 5.7274234294891357e-01
-            -5.6978869438171387e-01 2.8933158516883850e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5054538726806641e+01</treeThreshold>
-          <internalNodes>
-            1 2 939 7.5000000000000000e+00 0 -1 940
-            1.6500000000000000e+01 -2 -3 941 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2453199625015259e-01 4.3971973657608032e-01
-            -5.6862127780914307e-01 2.2281785309314728e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5190509796142578e+01</treeThreshold>
-          <internalNodes>
-            1 2 942 4.1500000000000000e+01 0 -1 943
-            8.5000000000000000e+00 -2 -3 944 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6428368091583252e-01 2.7655857801437378e-01
-            6.2536644935607910e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.5339462280273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 945 6.5000000000000000e+00 0 -1 946
-            1.9750000000000000e+02 -2 -3 947 3.5125000000000000e+03</internalNodes>
-          <leafValues>
-            5.1457303762435913e-01 -5.4887962341308594e-01
-            2.5784909725189209e-01 -9.8039388656616211e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5533813476562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 948 2.7350000000000000e+02 0 -1 949
-            2.5000000000000000e+00 -2 -3 950 8.3950000000000000e+02</internalNodes>
-          <leafValues>
-            4.3505680561065674e-01 -8.3620321750640869e-01
-            4.0167236328125000e-01 -2.1417175233364105e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5286861419677734e+01</treeThreshold>
-          <internalNodes>
-            1 2 951 1.9050000000000000e+02 0 -1 952
-            1.8500000000000000e+01 -2 -3 953 5.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.6316858530044556e-01 8.5937762260437012e-01
-            2.4829907715320587e-01 -9.5569574832916260e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5315326690673828e+01</treeThreshold>
-          <internalNodes>
-            1 2 954 7.5000000000000000e+00 0 -1 955
-            6.8050000000000000e+02 -2 -3 956 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.6678465604782104e-01 2.5904402136802673e-01
-            -9.3793350458145142e-01 5.7032090425491333e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5714458465576172e+01</treeThreshold>
-          <internalNodes>
-            1 2 957 4.3085000000000000e+03 0 -1 958
-            2.5000000000000000e+00 -2 -3 959 1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9067273736000061e-01 3.9913412928581238e-01
-            -5.7273352146148682e-01 4.2018249630928040e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5729091644287109e+01</treeThreshold>
-          <internalNodes>
-            1 2 960 6.5500000000000000e+01 0 -1 961
-            1.0500000000000000e+01 -2 -3 962 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.8838535770773888e-02 -7.4135571718215942e-01
-            -8.2152175903320312e-01 5.0204771757125854e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5779636383056641e+01</treeThreshold>
-          <internalNodes>
-            1 2 963 2.5000000000000000e+00 0 -1 964
-            5.3500000000000000e+01 -2 -3 965 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3911122977733612e-01 -9.5493316650390625e-01
-            -7.1501338481903076e-01 6.6445010900497437e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5980289459228516e+01</treeThreshold>
-          <internalNodes>
-            1 2 966 1.5000000000000000e+00 0 -1 967
-            4.2500000000000000e+01 -2 -3 968 9.9950000000000000e+02</internalNodes>
-          <leafValues>
-            6.1156451702117920e-01 -8.5420590639114380e-01
-            2.0065380632877350e-01 -5.1614391803741455e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6252574920654297e+01</treeThreshold>
-          <internalNodes>
-            1 2 969 2.5000000000000000e+00 0 -1 970
-            1.9465000000000000e+03 -2 -3 971 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.4459114074707031e-02 -7.7200150489807129e-01
-            2.9512012004852295e-01 -8.9226943254470825e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6439735412597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 972 1.5000000000000000e+00 0 -1 973 41. -2 -3 974
-            5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.8086458444595337e-01 8.0683439970016479e-01
-            1.8715959787368774e-01 -5.6646823883056641e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6728237152099609e+01</treeThreshold>
-          <internalNodes>
-            1 2 975 3.3500000000000000e+01 0 -1 976
-            9.7885000000000000e+03 -2 -3 977 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9251038581132889e-02 -9.2625564336776733e-01
-            2.8850206732749939e-01 -5.4534864425659180e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6843887329101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 978 2.6500000000000000e+01 0 -1 979
-            1.4500000000000000e+01 -2 -3 980 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1858909726142883e-01 -3.4160664677619934e-01
-            -9.6077054738998413e-01 7.7676713466644287e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7005241394042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 981 2.1500000000000000e+01 0 -1 982
-            3.3450000000000000e+02 -2 -3 983 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9156139120459557e-02 -8.7990653514862061e-01
-            -7.2488045692443848e-01 2.2520579397678375e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6797657012939453e+01</treeThreshold>
-          <internalNodes>
-            1 2 984 2.6475000000000000e+03 0 -1 985
-            4.2500000000000000e+01 -2 -3 986 8.1550000000000000e+02</internalNodes>
-          <leafValues>
-            2.2682635486125946e-01 -8.1636387109756470e-01
-            6.6246122121810913e-01 -3.4295175224542618e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6713920593261719e+01</treeThreshold>
-          <internalNodes>
-            1 2 987 9.6500000000000000e+01 0 -1 988 548. -2 -3 989
-            2.8955000000000000e+03</internalNodes>
-          <leafValues>
-            -8.1589114665985107e-01 1. -4.9650618433952332e-01
-            2.2634685039520264e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6771007537841797e+01</treeThreshold>
-          <internalNodes>
-            1 2 990 5.0000000000000000e-01 0 -1 991 249. -2 -3 992
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4486887454986572e-01 5.6141883134841919e-01
-            5.7086039334535599e-02 -6.7521327733993530e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6969486236572266e+01</treeThreshold>
-          <internalNodes>
-            1 2 993 5.0000000000000000e-01 0 -1 994
-            1.6500000000000000e+01 -2 -3 995 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2038865089416504e-01 3.5195854306221008e-01
-            -4.7452071309089661e-01 7.8814119100570679e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6943496704101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 996 3.9950000000000000e+02 0 -1 997
-            1.5405000000000000e+03 -2 -3 998 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0016517639160156e-01 5.9141719341278076e-01
-            -3.4474676847457886e-01 6.8918299674987793e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7024951934814453e+01</treeThreshold>
-          <internalNodes>
-            1 2 999 7.5000000000000000e+00 0 -1 1000 738. -2 -3 1001
-            1765.</internalNodes>
-          <leafValues>
-            3.1489616632461548e-01 -4.8600602149963379e-01
-            5.3129523992538452e-01 -9.4068831205368042e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7521724700927734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1002 9.5000000000000000e+00 0 -1 1003
-            5.0000000000000000e-01 -2 -3 1004 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            9.6219047904014587e-02 -4.7555413842201233e-01
-            -4.6840333938598633e-01 7.9850405454635620e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7506668090820312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1005 1.2500000000000000e+01 0 -1 1006
-            1.1350000000000000e+02 -2 -3 1007 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4384462833404541e-01 -7.9862087965011597e-01
-            -6.7412167787551880e-01 3.3874267339706421e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7641517639160156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1008 2.7850000000000000e+02 0 -1 1009
-            3.5000000000000000e+00 -2 -3 1010 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3609230518341064e-01 5.3063559532165527e-01
-            -8.7772625684738159e-01 7.2040528059005737e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7946544647216797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1011 5.6250000000000000e+02 0 -1 1012
-            5.2650000000000000e+02 -2 -3 1013 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3572378158569336e-01 3.0502891540527344e-01
-            2.3100011050701141e-01 -6.1786937713623047e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7772045135498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1014 7.6500000000000000e+01 0 -1 1015 1948. -2 -3 1016
-            1.2550000000000000e+02</internalNodes>
-          <leafValues>
-            -2.9692053794860840e-01 2.9227754473686218e-01
-            -9.4186556339263916e-01 5.1589274406433105e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8073352813720703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1017 5.0000000000000000e-01 0 -1 1018
-            2.5000000000000000e+00 -2 -3 1019 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8587775230407715e-01 3.0130937695503235e-01
-            -6.3859581947326660e-01 1.3170623779296875e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8058353424072266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1020 5.0000000000000000e-01 0 -1 1021
-            1.5000000000000000e+00 -2 -3 1022 7.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0776679515838623e-01 6.3595312833786011e-01
-            3.3159428834915161e-01 -4.0336602926254272e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8315082550048828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1023 2.6950000000000000e+02 0 -1 1024 1298. -2 -3 1025
-            1.5225000000000000e+03</internalNodes>
-          <leafValues>
-            -1. 7.2444880008697510e-01 -7.8231662511825562e-01
-            9.5456495881080627e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8383270263671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1026 1.0500000000000000e+01 0 -1 1027
-            1.5000000000000000e+00 -2 -3 1028 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.3500446081161499e-01 -6.9345575571060181e-01
-            3.7562793493270874e-01 -4.0624493360519409e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8140323638916016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1029 6.5000000000000000e+00 0 -1 1030
-            6.5000000000000000e+00 -2 -3 1031 2.1965000000000000e+03</internalNodes>
-          <leafValues>
-            -6.0527449846267700e-01 3.4614467620849609e-01
-            -6.4750307798385620e-01 4.4139349460601807e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8629760742187500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1032 1.4500000000000000e+01 0 -1 1033
-            1.0500000000000000e+01 -2 -3 1034 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.3208198146894574e-05 -6.7700278759002686e-01
-            -4.2626798152923584e-01 4.8943847417831421e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8434696197509766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1035 5.0000000000000000e-01 0 -1 1036
-            4.5000000000000000e+00 -2 -3 1037 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.7417689561843872e-01 4.2846640944480896e-01
-            1.6088682413101196e-01 -5.3463542461395264e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8620567321777344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1038 8.6450000000000000e+02 0 -1 1039
-            6.8500000000000000e+01 -2 -3 1040 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8587091565132141e-01 -8.0341529846191406e-01
-            -9.0581631660461426e-01 6.2018626928329468e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8751430511474609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1041 5.0000000000000000e-01 0 -1 1042 40. -2 -3 1043
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.9494683742523193e-01 1. -7.1019542217254639e-01
-            1.3086341321468353e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8754238128662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1044 6.1500000000000000e+01 0 -1 1045
-            5.0000000000000000e-01 -2 -3 1046 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2929298281669617e-01 -2.4671530723571777e-01
-            -8.9316487312316895e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>3.8761310577392578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1047 1.3750000000000000e+02 0 -1 1048
-            2.8450000000000000e+02 -2 -3 1049 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.3021671772003174e-01 6.5008687973022461e-01
-            5.3065407276153564e-01 -7.9354740679264069e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8665718078613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1050 4.5000000000000000e+00 0 -1 1051
-            3.5500000000000000e+01 -2 -3 1052 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.4490387439727783e-01 -7.6202434301376343e-01
-            -9.5591522753238678e-02 4.8457166552543640e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8905593872070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1053 1.7595000000000000e+03 0 -1 1054
-            8.0650000000000000e+02 -2 -3 1055 1001.</internalNodes>
-          <leafValues>
-            8.4819895029067993e-01 1.0978246107697487e-02
-            -5.8034777641296387e-01 9.6708601713180542e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9178741455078125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1056 3.3500000000000000e+01 0 -1 1057 43. -2 -3 1058
-            1.1255000000000000e+03</internalNodes>
-          <leafValues>
-            6.2076139450073242e-01 -7.7601081132888794e-01
-            -6.3608288764953613e-01 2.7314889430999756e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9557754516601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1059 2861. 0 -1 1060 1.1500000000000000e+01 -2 -3 1061
-            1059.</internalNodes>
-          <leafValues>
-            -2.0063874125480652e-01 3.7901291251182556e-01
-            -8.7469154596328735e-01 9.3417149782180786e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9383140563964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1062 7.5000000000000000e+00 0 -1 1063
-            3.3500000000000000e+01 -2 -3 1064 6.8250000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3701553940773010e-01 6.6878622770309448e-01
-            -9.3165141344070435e-01 5.6623113155364990e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9584621429443359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1065 4.5500000000000000e+01 0 -1 1066
-            2.5000000000000000e+00 -2 -3 1067 39.</internalNodes>
-          <leafValues>
-            -8.5348236560821533e-01 2.0148001611232758e-01
-            -8.4665966033935547e-01 8.2120579481124878e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9753597259521484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1068 2.5000000000000000e+00 0 -1 1069
-            1.5000000000000000e+00 -2 -3 1070 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.8533732891082764e-01 1.9851887226104736e-01
-            4.4824355840682983e-01 -8.0207723379135132e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9658565521240234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1071 5.0000000000000000e-01 0 -1 1072
-            1.3915000000000000e+03 -2 -3 1073 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5468831062316895e-01 3.6562988162040710e-01
-            -6.3887000083923340e-01 2.2883546352386475e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0061527252197266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1074 5.4650000000000000e+02 0 -1 1075
-            1.3805000000000000e+03 -2 -3 1076 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7776118516921997e-01 7.9691213369369507e-01
-            -6.4302068948745728e-01 4.0739435702562332e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.0449691772460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1077 1.3450000000000000e+02 0 -1 1078 3817. -2 -3 1079
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 7.2753727436065674e-01 -8.8736426830291748e-01
-            -3.0436256900429726e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.0686050415039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1080 3.1500000000000000e+01 0 -1 1081
-            1.6815000000000000e+03 -2 -3 1082 2.5050000000000000e+02</internalNodes>
-          <leafValues>
-            2.3635797202587128e-01 -7.1006488800048828e-01
-            -7.7740561962127686e-01 9.4275683164596558e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0749511718750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1083 2.7500000000000000e+01 0 -1 1084
-            2.3500000000000000e+01 -2 -3 1085 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.0146540403366089e-01 -8.0582934617996216e-01
-            3.4961447119712830e-01 -3.5682681202888489e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0645175933837891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1086 1.2850000000000000e+02 0 -1 1087
-            1.1500000000000000e+01 -2 -3 1088 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3760350346565247e-01 3.2760843634605408e-01
-            -7.3312211036682129e-01 4.6505972743034363e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0557418823242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1089 668. 0 -1 1090 1.2850000000000000e+02 -2 -3 1091
-            8.7500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1236543208360672e-01 -5.2818536758422852e-01
-            -6.8129932880401611e-01 7.0479619503021240e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0783546447753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1092 5.1805000000000000e+03 0 -1 1093
-            4.9500000000000000e+01 -2 -3 1094 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0594160556793213e-01 3.0208334326744080e-01
-            -9.6733921766281128e-01 6.8550550937652588e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1171627044677734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1095 7.7500000000000000e+01 0 -1 1096
-            5.0000000000000000e-01 -2 -3 1097 1128.</internalNodes>
-          <leafValues>
-            3.8808169960975647e-01 -2.2138407826423645e-01
-            -9.7971081733703613e-01 6.8063849210739136e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1380584716796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1098 3.5000000000000000e+00 0 -1 1099
-            4.5000000000000000e+00 -2 -3 1100 1.6550000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3179295063018799e-01 8.2458907365798950e-01
-            2.0895628631114960e-01 -6.7757499217987061e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0977642059326172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1101 2.6500000000000000e+01 0 -1 1102
-            7.5000000000000000e+00 -2 -3 1103 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7902231216430664e-01 9.0440295636653900e-02
-            4.5262795686721802e-01 -7.6736658811569214e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1636299133300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1104 8.7150000000000000e+02 0 -1 1105
-            4.8485000000000000e+03 -2 -3 1106 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            6.8487727642059326e-01 -2.6508599519729614e-01
-            -5.6632518768310547e-01 3.0040073394775391e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1346435546875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1107 1.9350000000000000e+02 0 -1 1108
-            5.0500000000000000e+01 -2 -3 1109 1.1775000000000000e+03</internalNodes>
-          <leafValues>
-            -3.1608226895332336e-01 6.0885083675384521e-01
-            6.4473861455917358e-01 -8.5411310195922852e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1030853271484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1110 1.5000000000000000e+00 0 -1 1111
-            1.3445000000000000e+03 -2 -3 1112 5.8550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.3746362924575806e-01 3.1320965290069580e-01
-            -7.2444945573806763e-01 7.5097692012786865e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1470043182373047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1113 9.5000000000000000e+00 0 -1 1114
-            2.5000000000000000e+00 -2 -3 1115 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0508642792701721e-01 -5.0676339864730835e-01
-            -8.5707956552505493e-01 4.3919247388839722e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1580162048339844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1116 5.7350000000000000e+02 0 -1 1117
-            5.5000000000000000e+00 -2 -3 1118 21.</internalNodes>
-          <leafValues>
-            -5.1867526769638062e-01 2.3890317976474762e-01
-            -8.0498754978179932e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.1684749603271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1119 9.5000000000000000e+00 0 -1 1120
-            4.7850000000000000e+02 -2 -3 1121 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0458730161190033e-01 -6.2516999244689941e-01
-            -5.9976857900619507e-01 5.1749521493911743e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1494934082031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1122 2.0050000000000000e+02 0 -1 1123
-            2.0500000000000000e+01 -2 -3 1124 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9138877391815186e-01 2.6315033435821533e-01
-            -9.6982121467590332e-01 6.5220332145690918e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1932003021240234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1125 1.5000000000000000e+00 0 -1 1126
-            3.5000000000000000e+00 -2 -3 1127 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.0265578031539917e-01 7.8519123792648315e-01
-            2.0901374518871307e-01 -4.3665331602096558e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1868026733398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1128 1.6455000000000000e+03 0 -1 1129
-            1.5000000000000000e+00 -2 -3 1130 1.2425000000000000e+03</internalNodes>
-          <leafValues>
-            7.5446349382400513e-01 -8.0549776554107666e-01
-            6.0434514284133911e-01 -6.3975110650062561e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.2400360107421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1131 7.5000000000000000e+00 0 -1 1132
-            6.3500000000000000e+01 -2 -3 1133 5.7650000000000000e+02</internalNodes>
-          <leafValues>
-            5.2017074823379517e-01 -6.9113534688949585e-01
-            -1.6708745062351227e-01 5.3233259916305542e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2345855712890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1134 8.5000000000000000e+00 0 -1 1135
-            3.5000000000000000e+00 -2 -3 1136 1.8650000000000000e+02</internalNodes>
-          <leafValues>
-            -5.4506361484527588e-02 -7.8135180473327637e-01
-            -6.1452972888946533e-01 5.3269100189208984e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2633274078369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1137 2.0500000000000000e+01 0 -1 1138
-            5.6750000000000000e+02 -2 -3 1139 2.9915000000000000e+03</internalNodes>
-          <leafValues>
-            6.6543561220169067e-01 -8.5652673244476318e-01
-            2.8741911053657532e-01 -4.7586393356323242e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2798049926757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1140 9.5000000000000000e+00 0 -1 1141
-            4.9500000000000000e+01 -2 -3 1142 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6477760672569275e-01 -8.1512105464935303e-01
-            -9.8834317922592163e-01 3.6259099841117859e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2601398468017578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1143 3.5000000000000000e+00 0 -1 1144
-            1.4500000000000000e+01 -2 -3 1145 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9031403660774231e-01 -6.7174017429351807e-01
-            -6.2569665908813477e-01 3.0628502368927002e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3207866668701172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1146 5.0000000000000000e-01 0 -1 1147 338. -2 -3 1148
-            4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            6.0646677017211914e-01 -1.1136221885681152e-01
-            -4.9581399559974670e-01 9.1770052909851074e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3436904907226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1149 6.2500000000000000e+01 0 -1 1150
-            1.1500000000000000e+01 -2 -3 1151 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.3020032644271851e-01 2.2903984785079956e-01
-            6.9111466407775879e-01 -9.2438864707946777e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3182262420654297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1152 2.4825000000000000e+03 0 -1 1153
-            1.8500000000000000e+01 -2 -3 1154 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.8887816667556763e-01 -7.8725290298461914e-01
-            -2.5464150309562683e-01 3.7431335449218750e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3620674133300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1155 2.0895000000000000e+03 0 -1 1156
-            1.0500000000000000e+01 -2 -3 1157 7.1150000000000000e+02</internalNodes>
-          <leafValues>
-            4.3995714187622070e-01 -5.2159392833709717e-01
-            -6.2963652610778809e-01 1.1316129565238953e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3773460388183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1158 5.0000000000000000e-01 0 -1 1159 21. -2 -3 1160
-            2647.</internalNodes>
-          <leafValues>
-            -9.9163711071014404e-01 1. 1.5278881788253784e-01
-            -8.0924803018569946e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3756889343261719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1161 9.5000000000000000e+00 0 -1 1162
-            1.5285000000000000e+03 -2 -3 1163 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3516172170639038e-01 -3.3198025077581406e-02
-            4.5004144310951233e-01 -4.9410822987556458e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3972312927246094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1164 1.5000000000000000e+00 0 -1 1165
-            1.2500000000000000e+01 -2 -3 1166 4.6250000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7030416727066040e-01 1. 6.6300249099731445e-01
-            -5.0532888621091843e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.3980846405029297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1167 1.1500000000000000e+01 0 -1 1168
-            1.5000000000000000e+00 -2 -3 1169 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.9238695800304413e-02 -6.6063672304153442e-01
-            -2.1645425260066986e-01 5.4061800241470337e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4120399475097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1170 1.4550000000000000e+02 0 -1 1171 515. -2 -3 1172
-            66.</internalNodes>
-          <leafValues>
-            -8.7580627202987671e-01 1.3955466449260712e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>4.4321346282958984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1173 1.2500000000000000e+01 0 -1 1174
-            1.5500000000000000e+01 -2 -3 1175 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3138593435287476e-01 2.0094390213489532e-01
-            -7.9345691204071045e-01 1.3270631432533264e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4408035278320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1176 9.4500000000000000e+01 0 -1 1177 29. -2 -3 1178
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            6.2725901603698730e-01 -5.2600252628326416e-01
-            -6.2553745508193970e-01 1.1460914462804794e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3909595489501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1179 6.5000000000000000e+00 0 -1 1180
-            9.7500000000000000e+01 -2 -3 1181 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3142787218093872e-01 6.9267946481704712e-01
-            4.8009446263313293e-01 -1.2805593013763428e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4367984771728516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1182 1.3500000000000000e+01 0 -1 1183
-            7.5000000000000000e+00 -2 -3 1184 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.8150177001953125e-01 6.1593282222747803e-01
-            2.3517456650733948e-01 -8.9078408479690552e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4526245117187500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1185 8.1450000000000000e+02 0 -1 1186 27. -2 -3 1187
-            4.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -9.6226990222930908e-01 1. 1.5826153755187988e-01
-            -6.0127079486846924e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4509689331054688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1188 1.7050000000000000e+02 0 -1 1189
-            1.0350000000000000e+02 -2 -3 1190 17.</internalNodes>
-          <leafValues>
-            -1.7409811913967133e-01 4.0153789520263672e-01
-            -9.9094009399414062e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.4416912078857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1191 5.0000000000000000e-01 0 -1 1192
-            8.5000000000000000e+00 -2 -3 1193 1.9985000000000000e+03</internalNodes>
-          <leafValues>
-            -1. 5.3445392847061157e-01 -9.2778779566287994e-02
-            -9.9271869659423828e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4893375396728516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1194 1.5755000000000000e+03 0 -1 1195 21. -2 -3 1196
-            2.2815000000000000e+03</internalNodes>
-          <leafValues>
-            9.8664927482604980e-01 -1. -6.5728956460952759e-01
-            5.1687292754650116e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4958042144775391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1197 979. 0 -1 1198 3.5000000000000000e+00 -2 -3 1199
-            3.3450000000000000e+02</internalNodes>
-          <leafValues>
-            6.4667396247386932e-02 -6.2298679351806641e-01
-            8.3257365226745605e-01 -3.2351174950599670e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5219623565673828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1200 2.5000000000000000e+00 0 -1 1201
-            4.5000000000000000e+00 -2 -3 1202 1.1250000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0651080608367920e-01 7.8795516490936279e-01
-            2.6158225536346436e-01 -5.9016484022140503e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4823062896728516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1203 7.4850000000000000e+02 0 -1 1204
-            3.2500000000000000e+01 -2 -3 1205 697.</internalNodes>
-          <leafValues>
-            2.2503770887851715e-01 -3.9656233787536621e-01
-            9.5161718130111694e-01 -2.1432246267795563e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5530910491943359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1206 5.4750000000000000e+02 0 -1 1207
-            9.5000000000000000e+00 -2 -3 1208 4752.</internalNodes>
-          <leafValues>
-            -7.8124099969863892e-01 7.0784658193588257e-01
-            -9.6436911821365356e-01 3.5836692899465561e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5428401947021484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1209 1.5000000000000000e+00 0 -1 1210
-            1.5500000000000000e+01 -2 -3 1211 1.9455000000000000e+03</internalNodes>
-          <leafValues>
-            -1.0250826925039291e-01 5.4916018247604370e-01
-            -2.6177955791354179e-02 -9.2129987478256226e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5787826538085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1212 4.5850000000000000e+02 0 -1 1213
-            5.0000000000000000e-01 -2 -3 1214 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0581798553466797e-01 4.0218245983123779e-01
-            -7.4334120750427246e-01 1.0166406631469727e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5805335998535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1215 5.0000000000000000e-01 0 -1 1216
-            2.8965000000000000e+03 -2 -3 1217 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4860813617706299e-01 -9.2187440395355225e-01
-            -5.3543245792388916e-01 5.3708320856094360e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5891948699951172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1218 4.2750000000000000e+02 0 -1 1219
-            1.1500000000000000e+01 -2 -3 1220 60.</internalNodes>
-          <leafValues>
-            5.4364776611328125e-01 -2.4448615312576294e-01 -1.
-            9.3761330842971802e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6113231658935547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1221 2.9650000000000000e+02 0 -1 1222
-            3.5500000000000000e+01 -2 -3 1223 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3336704969406128e-01 -4.9441725015640259e-02
-            -7.4142539501190186e-01 5.5442851781845093e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6227504730224609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1224 4.1500000000000000e+01 0 -1 1225
-            3.3065000000000000e+03 -2 -3 1226 3870.</internalNodes>
-          <leafValues>
-            -6.0971248149871826e-01 2.4518391489982605e-01
-            -9.2852658033370972e-01 6.7098820209503174e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6052734375000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1227 7.3150000000000000e+02 0 -1 1228
-            6.8500000000000000e+01 -2 -3 1229 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0568072199821472e-01 2.9724195599555969e-01
-            6.0229831933975220e-01 -9.3976968526840210e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6391059875488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1230 3941. 0 -1 1231 5.4500000000000000e+01 -2 -3 1232
-            1.7855000000000000e+03</internalNodes>
-          <leafValues>
-            3.3832329511642456e-01 -7.9758453369140625e-01
-            -6.3498198986053467e-01 6.3038891553878784e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6504837036132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1233 5.0000000000000000e-01 0 -1 1234
-            7.5000000000000000e+00 -2 -3 1235 1501.</internalNodes>
-          <leafValues>
-            -7.7365416288375854e-01 4.6874764561653137e-01
-            -3.5823148488998413e-01 7.9656225442886353e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6372001647949219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1236 2.5500000000000000e+01 0 -1 1237
-            1.6500000000000000e+01 -2 -3 1238 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.6493071317672729e-01 -7.0740276575088501e-01
-            -4.8780402541160583e-01 3.7291622161865234e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6678596496582031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1239 7.9415000000000000e+03 0 -1 1240
-            5.0000000000000000e-01 -2 -3 1241 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2436817884445190e-01 3.0659627914428711e-01
-            -6.5948170423507690e-01 4.5055055618286133e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6238845825195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1242 1.9500000000000000e+01 0 -1 1243
-            8.5000000000000000e+00 -2 -3 1244 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7113763093948364e-01 2.0902428030967712e-01
-            -7.2488105297088623e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.6537197113037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1245 2.8450000000000000e+02 0 -1 1246
-            4.5000000000000000e+00 -2 -3 1247 1.7550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.7054611444473267e-01 8.2255226373672485e-01
-            2.9835110902786255e-01 -5.9376603364944458e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6529403686523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1248 4.2500000000000000e+01 0 -1 1249
-            2.0500000000000000e+01 -2 -3 1250 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7904900535941124e-03 -8.1963479518890381e-01
-            -5.0779378414154053e-01 4.3727734684944153e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6744403839111328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1251 4.5000000000000000e+00 0 -1 1252
-            2.8650000000000000e+02 -2 -3 1253 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.9674304127693176e-01 4.5696255564689636e-01
-            7.9865179955959320e-02 -8.0503857135772705e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6963691711425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1254 4.0250000000000000e+02 0 -1 1255
-            1.7045000000000000e+03 -2 -3 1256 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.5684739351272583e-01 7.6402020454406738e-01
-            -7.6276898384094238e-01 -2.2674866020679474e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6687553405761719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1257 5.0000000000000000e-01 0 -1 1258
-            1.1455000000000000e+03 -2 -3 1259 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6084955930709839e-01 8.0332660675048828e-01
-            -2.7614063024520874e-01 4.3000274896621704e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6964260101318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1260 3.5500000000000000e+01 0 -1 1261
-            6.5000000000000000e+00 -2 -3 1262 1.9950000000000000e+02</internalNodes>
-          <leafValues>
-            -5.5664390325546265e-01 2.7670648694038391e-01
-            -8.6526918411254883e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.7102539062500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1263 5.3500000000000000e+01 0 -1 1264
-            1.0075000000000000e+03 -2 -3 1265 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8485064506530762e-01 7.1059340238571167e-01
-            -4.6985602378845215e-01 1.3827921450138092e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6816654205322266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1266 2.3500000000000000e+01 0 -1 1267
-            9.5000000000000000e+00 -2 -3 1268 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.5332915782928467e-01 -7.9585695266723633e-01
-            -2.8588473796844482e-01 3.4832224249839783e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7195682525634766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1269 5.0000000000000000e-01 0 -1 1270
-            4.6605000000000000e+03 -2 -3 1271 3.5250000000000000e+02</internalNodes>
-          <leafValues>
-            3.7902894616127014e-01 -8.4313845634460449e-01
-            1.3045331835746765e-01 -5.6578201055526733e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7464088439941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1272 2.1500000000000000e+01 0 -1 1273
-            5.0000000000000000e-01 -2 -3 1274 242.</internalNodes>
-          <leafValues>
-            1.3412712514400482e-01 -7.8316122293472290e-01
-            2.6840490102767944e-01 -7.1992039680480957e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7629711151123047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1275 2.5000000000000000e+00 0 -1 1276
-            7.4500000000000000e+01 -2 -3 1277 1.0750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3254098892211914e-01 9.2741733789443970e-01
-            1.6562341153621674e-01 -9.0677899122238159e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7230899810791016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1278 5.0000000000000000e-01 0 -1 1279
-            1.5000000000000000e+00 -2 -3 1280 789.</internalNodes>
-          <leafValues>
-            -4.9992504715919495e-01 4.5887079834938049e-01
-            7.6845002174377441e-01 -3.9880952239036560e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7315582275390625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1281 7.7050000000000000e+02 0 -1 1282
-            2.5000000000000000e+00 -2 -3 1283 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            8.4682360291481018e-02 -6.0419434309005737e-01
-            -8.2248067855834961e-01 5.7301843166351318e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7552246093750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1284 6.8500000000000000e+01 0 -1 1285
-            3.4435000000000000e+03 -2 -3 1286 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.3666270077228546e-01 -8.8462197780609131e-01
-            7.7540457248687744e-01 -7.6702028512954712e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7279457092285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1287 5.4650000000000000e+02 0 -1 1288
-            2.7500000000000000e+01 -2 -3 1289 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9818286895751953e-01 9.3574041128158569e-01
-            -2.7278780937194824e-01 3.4087333083152771e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7695171356201172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1290 5.5000000000000000e+00 0 -1 1291
-            6.8500000000000000e+01 -2 -3 1292 4.2250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1797193288803101e-01 9.6406042575836182e-01
-            4.1571247577667236e-01 -3.3489051461219788e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8403869628906250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1293 1883. 0 -1 1294 8.7550000000000000e+02 -2 -3 1295
-            558.</internalNodes>
-          <leafValues>
-            -1. 1. 7.0869779586791992e-01 -4.0250223129987717e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8536903381347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1296 2.3500000000000000e+01 0 -1 1297
-            2.5000000000000000e+00 -2 -3 1298 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.9751479625701904e-01 -8.0273920297622681e-01
-            -7.9289126396179199e-01 2.0057959854602814e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8952194213867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1299 5.0500000000000000e+01 0 -1 1300
-            5.0000000000000000e-01 -2 -3 1301 15.</internalNodes>
-          <leafValues>
-            4.1529166698455811e-01 -1.6719508171081543e-01
-            -9.8823583126068115e-01 8.9194875955581665e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9016838073730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1302 3.0500000000000000e+01 0 -1 1303
-            9.4500000000000000e+01 -2 -3 1304 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3713786602020264e-01 7.3640905320644379e-02
-            -9.4347292184829712e-01 9.7819411754608154e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8526271820068359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1305 4.5000000000000000e+00 0 -1 1306
-            2.5000000000000000e+00 -2 -3 1307 6.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9056568741798401e-01 1.6012768447399139e-01
-            5.9082514047622681e-01 -7.3458278179168701e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8976272583007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1308 4.5000000000000000e+00 0 -1 1309
-            1.5500000000000000e+01 -2 -3 1310 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.9833615422248840e-01 4.4999912381172180e-01
-            -5.6295996904373169e-01 8.5850125551223755e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8976329803466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1311 4.5000000000000000e+00 0 -1 1312
-            6.8500000000000000e+01 -2 -3 1313 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.6983328249771148e-05 7.7724099159240723e-01
-            -6.1698484420776367e-01 2.9591542482376099e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9282245635986328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1314 1.1500000000000000e+01 0 -1 1315
-            1.5000000000000000e+00 -2 -3 1316 103.</internalNodes>
-          <leafValues>
-            -8.6629253625869751e-01 2.9691928625106812e-01
-            -6.9187688827514648e-01 7.6389712095260620e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9114860534667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1317 1.8555000000000000e+03 0 -1 1318
-            6.4500000000000000e+01 -2 -3 1319 2.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -1.6738428175449371e-01 5.7460331916809082e-01
-            5.3947240114212036e-01 -7.7280753850936890e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9352123260498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1320 8.5350000000000000e+02 0 -1 1321
-            1.5000000000000000e+00 -2 -3 1322 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            8.4088134765625000e-01 -7.2172147035598755e-01
-            2.3726405203342438e-01 -9.3316709995269775e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9501861572265625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1323 4.5000000000000000e+00 0 -1 1324
-            1.1500000000000000e+01 -2 -3 1325 8.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.9253803491592407e-01 1. 4.6414378285408020e-01
-            -2.0848950743675232e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9837139129638672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1326 7.9550000000000000e+02 0 -1 1327
-            2.8050000000000000e+02 -2 -3 1328 1835.</internalNodes>
-          <leafValues>
-            -8.2946020364761353e-01 9.6943551301956177e-01
-            -8.1424975395202637e-01 2.0871644839644432e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0246009826660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1329 8.5000000000000000e+00 0 -1 1330
-            9.1050000000000000e+02 -2 -3 1331 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0886759757995605e-01 -7.4836260080337524e-01
-            -5.7454568147659302e-01 3.2781472802162170e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9796627044677734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1332 5.0000000000000000e-01 0 -1 1333
-            6.5000000000000000e+00 -2 -3 1334 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3218848109245300e-02 8.3576363325119019e-01
-            1.9991603493690491e-01 -4.6900144219398499e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0063694000244141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1335 1.5000000000000000e+00 0 -1 1336
-            6.3500000000000000e+01 -2 -3 1337 1.8725000000000000e+03</internalNodes>
-          <leafValues>
-            -7.0560324192047119e-01 4.1954356431961060e-01
-            -9.6739757061004639e-01 2.6706603169441223e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0260620117187500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1338 1.0500000000000000e+01 0 -1 1339
-            2.9500000000000000e+01 -2 -3 1340 342.</internalNodes>
-          <leafValues>
-            -9.0658597648143768e-02 -7.9617536067962646e-01
-            6.7347729206085205e-01 -2.3987580835819244e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0467788696289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1341 1.0650000000000000e+02 0 -1 1342
-            8.6750000000000000e+02 -2 -3 1343 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.0716853439807892e-01 -7.6313602924346924e-01
-            -9.5789188146591187e-01 2.3767970502376556e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0828540802001953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1344 5.4500000000000000e+01 0 -1 1345
-            9.8150000000000000e+02 -2 -3 1346 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.1050950288772583e-02 -7.7375942468643188e-01
-            -8.2174503803253174e-01 3.6075502634048462e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0360866546630859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1347 1.3500000000000000e+01 0 -1 1348
-            5.0000000000000000e-01 -2 -3 1349 1236.</internalNodes>
-          <leafValues>
-            1.3057044148445129e-01 -4.6767637133598328e-01
-            -6.9840586185455322e-01 7.9119002819061279e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0256309509277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1350 2.5000000000000000e+00 0 -1 1351
-            9.4500000000000000e+01 -2 -3 1352 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.8615158200263977e-01 -9.4876563549041748e-01
-            6.4024305343627930e-01 -1.0455664992332458e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0560165405273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1353 2.5000000000000000e+00 0 -1 1354
-            4.0500000000000000e+01 -2 -3 1355 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0561832189559937e-01 3.3378389477729797e-01
-            3.0385577678680420e-01 -6.0897898674011230e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0804115295410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1356 1.5500000000000000e+01 0 -1 1357 45. -2 -3 1358
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.0861389636993408e-01 1. -4.3904241919517517e-01
-            2.7291506528854370e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0514347076416016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1359 1.1050000000000000e+02 0 -1 1360
-            6.3500000000000000e+01 -2 -3 1361 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.8976878523826599e-01 3.2039192318916321e-01
-            -8.0150151252746582e-01 6.8203634023666382e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0776355743408203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1362 1.0550000000000000e+02 0 -1 1363
-            1.3550000000000000e+02 -2 -3 1364 10068.</internalNodes>
-          <leafValues>
-            -6.4488768577575684e-01 2.6200938224792480e-01
-            -8.9675015211105347e-01 -3.1381275504827499e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0533866882324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1365 6.8500000000000000e+01 0 -1 1366
-            5.0000000000000000e-01 -2 -3 1367 1.6050000000000000e+02</internalNodes>
-          <leafValues>
-            3.1839752197265625e-01 -2.4249233305454254e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.0829113006591797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1368 1.5000000000000000e+00 0 -1 1369
-            6.6350000000000000e+02 -2 -3 1370 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.8838620185852051e-01 -9.3250781297683716e-01
-            2.9524663090705872e-01 -3.2141539454460144e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0797142028808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1371 8.5000000000000000e+00 0 -1 1372
-            2.5000000000000000e+00 -2 -3 1373 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.2804262042045593e-01 -7.1058040857315063e-01
-            7.0905983448028564e-01 -3.1971532851457596e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1115089416503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1374 861. 0 -1 1375 3.5000000000000000e+00 -2 -3 1376
-            1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3287408351898193e-01 3.1794783473014832e-01
-            -8.9377957582473755e-01 8.8807784020900726e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1886703491210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1377 1.0955000000000000e+03 0 -1 1378
-            1.1500000000000000e+01 -2 -3 1379 8.7950000000000000e+02</internalNodes>
-          <leafValues>
-            7.7161508798599243e-01 -5.0686275959014893e-01
-            -4.5395648479461670e-01 3.3118793368339539e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1772079467773438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1380 4.6650000000000000e+02 0 -1 1381 33. -2 -3 1382
-            1.0950000000000000e+02</internalNodes>
-          <leafValues>
-            -9.5125919580459595e-01 1. -1.1462553590536118e-01
-            4.7979238629341125e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2198509216308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1383 1.5500000000000000e+01 0 -1 1384
-            2.8250000000000000e+02 -2 -3 1385 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1369702816009521e-01 4.8207268118858337e-01
-            -4.2361307144165039e-01 6.4388936758041382e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2392532348632812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1386 2.5000000000000000e+00 0 -1 1387
-            1.2535000000000000e+03 -2 -3 1388 4515.</internalNodes>
-          <leafValues>
-            3.2906323671340942e-01 -7.7641272544860840e-01
-            5.5688279867172241e-01 -6.7741048336029053e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1989242553710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1389 5.5000000000000000e+00 0 -1 1390
-            2.2750000000000000e+02 -2 -3 1391 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5418881177902222e-01 -5.9396916627883911e-01
-            -4.6043199300765991e-01 6.2906885147094727e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2259319305419922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1392 3.2745000000000000e+03 0 -1 1393
-            1.8650000000000000e+02 -2 -3 1394 277.</internalNodes>
-          <leafValues>
-            1. -9.5819205045700073e-01 2.7007547020912170e-01
-            -6.1733877658843994e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2470146179199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1395 2.5000000000000000e+00 0 -1 1396 105. -2 -3 1397
-            1.1305000000000000e+03</internalNodes>
-          <leafValues>
-            -8.1608760356903076e-01 6.3372832536697388e-01
-            -5.9831696748733521e-01 2.1082499623298645e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2619174957275391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1398 1.5000000000000000e+00 0 -1 1399
-            3.5500000000000000e+01 -2 -3 1400 6.9565000000000000e+03</internalNodes>
-          <leafValues>
-            8.7191337347030640e-01 -9.5075809955596924e-01
-            1.4903016388416290e-01 -9.4546204805374146e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2935699462890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1401 5.0000000000000000e-01 0 -1 1402
-            8.5000000000000000e+00 -2 -3 1403 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.3433282375335693e-01 2.5846391916275024e-01
-            3.1652534008026123e-01 -2.6149821281433105e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3098587036132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1404 2.6500000000000000e+01 0 -1 1405
-            3.0500000000000000e+01 -2 -3 1406 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6288678348064423e-01 -6.0522311925888062e-01
-            -8.4450155496597290e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.3166687011718750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1407 5.0000000000000000e-01 0 -1 1408
-            5.0000000000000000e-01 -2 -3 1409 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6929541230201721e-01 -2.5119864940643311e-01
-            -6.6509801149368286e-01 1.3742294907569885e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3216953277587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1410 1.0315000000000000e+03 0 -1 1411
-            5.5450000000000000e+02 -2 -3 1412 1.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.9429639577865601e-01 5.0267767161130905e-02
-            -7.4524205923080444e-01 9.9237120151519775e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2621330261230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1413 5.0500000000000000e+01 0 -1 1414
-            9.5000000000000000e+00 -2 -3 1415 197.</internalNodes>
-          <leafValues>
-            -5.9562218189239502e-01 2.1804636716842651e-01
-            -9.5759987831115723e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.2961544036865234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1416 1.5000000000000000e+00 0 -1 1417
-            2.3075000000000000e+03 -2 -3 1418 3.9850000000000000e+02</internalNodes>
-          <leafValues>
-            3.4021046757698059e-01 -8.9926844835281372e-01
-            -5.2498364448547363e-01 6.2959104776382446e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3093982696533203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1419 8.5000000000000000e+00 0 -1 1420
-            8.5000000000000000e+00 -2 -3 1421 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.6875725388526917e-01 4.4103288650512695e-01
-            -7.8084117174148560e-01 2.4891872704029083e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3610618591308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1422 1.1500000000000000e+01 0 -1 1423
-            5.1500000000000000e+01 -2 -3 1424 3.2850000000000000e+02</internalNodes>
-          <leafValues>
-            6.1537820100784302e-01 -7.0333778858184814e-01
-            5.1663792133331299e-01 -1.1682698130607605e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3337509155273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1425 6.5000000000000000e+00 0 -1 1426
-            2.0150000000000000e+02 -2 -3 1427 1.3750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9510349035263062e-01 6.7965596914291382e-01
-            -5.7587045431137085e-01 2.8806659579277039e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3759262084960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1428 1.3500000000000000e+01 0 -1 1429
-            5.0000000000000000e-01 -2 -3 1430 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0888146162033081e-01 -1.0459310561418533e-01
-            4.2175045609474182e-01 -2.2673429548740387e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4000991821289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1431 1.6500000000000000e+01 0 -1 1432
-            4.9500000000000000e+01 -2 -3 1433 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4172973632812500e-01 -6.6279673576354980e-01
-            -7.4276286363601685e-01 3.0321115255355835e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3984508514404297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1434 1.1565000000000000e+03 0 -1 1435
-            2.6250000000000000e+02 -2 -3 1436 3893.</internalNodes>
-          <leafValues>
-            7.3637932538986206e-01 -3.4883835911750793e-01
-            6.0121822357177734e-01 -8.0439829826354980e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4098236083984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1437 1.3500000000000000e+01 0 -1 1438
-            3.8350000000000000e+02 -2 -3 1439 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2982290983200073e-01 1.1372609436511993e-01
-            -5.9008258581161499e-01 4.2848214507102966e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4405338287353516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1440 1.9805000000000000e+03 0 -1 1441
-            1.1275000000000000e+03 -2 -3 1442 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8803045749664307e-01 3.0710294842720032e-01
-            -6.5108889341354370e-01 7.1022272109985352e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4511505126953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1443 4.5000000000000000e+00 0 -1 1444
-            2.5000000000000000e+00 -2 -3 1445 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.6930414438247681e-01 5.6903254985809326e-01
-            3.2619524002075195e-01 -2.4657142162322998e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3997844696044922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1446 7.5000000000000000e+00 0 -1 1447
-            3.8850000000000000e+02 -2 -3 1448 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.1365816593170166e-01 7.6742160320281982e-01
-            -1.1964958161115646e-01 5.4031091928482056e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4253089904785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1449 1626. 0 -1 1450 1.3550000000000000e+02 -2 -3 1451
-            3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5524312257766724e-01 -9.8179906606674194e-01
-            -7.1048241853713989e-01 4.6551769971847534e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4500720977783203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1452 1.0500000000000000e+01 0 -1 1453
-            1.6500000000000000e+01 -2 -3 1454 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2665824890136719e-01 8.4684377908706665e-01
-            2.4763117730617523e-01 -5.0248169898986816e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4737117767333984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1455 2.9500000000000000e+01 0 -1 1456
-            2.0445000000000000e+03 -2 -3 1457 2.0750000000000000e+02</internalNodes>
-          <leafValues>
-            3.2250665128231049e-02 -8.2253599166870117e-01
-            2.3639632761478424e-01 -8.4098196029663086e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4620071411132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1458 5.5000000000000000e+00 0 -1 1459
-            3.5500000000000000e+01 -2 -3 1460 1.1350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3707693219184875e-01 2.8938186168670654e-01
-            -6.7547446489334106e-01 6.6382431983947754e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4814952850341797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1461 1.7065000000000000e+03 0 -1 1462
-            2.5000000000000000e+00 -2 -3 1463 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4278389215469360e-01 1.9488368928432465e-01
-            -7.2809278964996338e-01 9.4887137413024902e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5078216552734375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1464 4.9500000000000000e+01 0 -1 1465
-            2.5000000000000000e+00 -2 -3 1466 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.3484109640121460e-01 2.6326316595077515e-01
-            4.3786400556564331e-01 -8.4547907114028931e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5371429443359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1467 5.0000000000000000e-01 0 -1 1468
-            9.5000000000000000e+00 -2 -3 1469 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0153682827949524e-01 -1. -6.4001828432083130e-01
-            1.5916951000690460e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5277488708496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1470 1.5000000000000000e+00 0 -1 1471
-            4.7500000000000000e+01 -2 -3 1472 1.5350000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3075433969497681e-01 8.5157310962677002e-01
-            5.2560466527938843e-01 -1.0226363688707352e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5544731140136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1473 5.5000000000000000e+00 0 -1 1474
-            4.7500000000000000e+01 -2 -3 1475 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.9490593671798706e-01 8.3865737915039062e-01
-            -5.5749320983886719e-01 2.6724293828010559e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5245399475097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1476 1.9950000000000000e+02 0 -1 1477 2289. -2 -3 1478
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5769319534301758e-01 9.1711401939392090e-01
-            -7.0576089620590210e-01 3.7203203886747360e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5488651275634766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1479 5.2500000000000000e+01 0 -1 1480
-            1.2950000000000000e+02 -2 -3 1481 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7117952108383179e-01 2.4325069785118103e-01 1.
-            -6.1816340684890747e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6088603973388672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1482 3.0395000000000000e+03 0 -1 1483
-            8.5000000000000000e+00 -2 -3 1484 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3812756538391113e-01 5.9995239973068237e-01
-            -3.6428934335708618e-01 4.7413027286529541e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6244201660156250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1485 5.0000000000000000e-01 0 -1 1486
-            1.5215000000000000e+03 -2 -3 1487 6.7050000000000000e+02</internalNodes>
-          <leafValues>
-            3.1605017185211182e-01 -8.9320194721221924e-01
-            -8.2980042695999146e-01 9.8803900182247162e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.6439548492431641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1488 3.0050000000000000e+02 0 -1 1489
-            2.8550000000000000e+02 -2 -3 1490 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1809647083282471e-01 3.4896131604909897e-02
-            6.8301624059677124e-01 -6.8873125314712524e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6426887512207031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1491 5.8500000000000000e+01 0 -1 1492
-            3.4345000000000000e+03 -2 -3 1493 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.2663759291172028e-02 -8.3325493335723877e-01
-            -4.5447880029678345e-01 8.2523274421691895e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6583915710449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1494 1.5000000000000000e+00 0 -1 1495 17. -2 -3 1496
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2977488040924072e-01 1. 4.6097502112388611e-01
-            -9.5174610614776611e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6213527679443359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1497 2.5000000000000000e+00 0 -1 1498
-            3.1500000000000000e+01 -2 -3 1499 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.0150320529937744e-01 1. -3.7925186753273010e-01
-            2.4965119361877441e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6820350646972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1500 3.2500000000000000e+01 0 -1 1501
-            4.1950000000000000e+02 -2 -3 1502 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.4725711345672607e-01 -2.9326796531677246e-01
-            5.0832718610763550e-01 -3.6488053202629089e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6534500122070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1503 6.5000000000000000e+00 0 -1 1504
-            9.5000000000000000e+00 -2 -3 1505 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.2628404498100281e-01 1.9397723674774170e-01
-            7.4938726425170898e-01 -2.1961294114589691e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6932621002197266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1506 2.5000000000000000e+00 0 -1 1507
-            5.7050000000000000e+02 -2 -3 1508 7.7500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9812234044075012e-01 -4.7504433989524841e-01
-            -6.2128961086273193e-01 2.6114046573638916e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6733325958251953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1509 4.3500000000000000e+01 0 -1 1510
-            1.1500000000000000e+01 -2 -3 1511 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.2605105638504028e-01 -8.1933623552322388e-01
-            -7.0437282323837280e-01 2.4815419316291809e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7121013641357422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1512 5.0000000000000000e-01 0 -1 1513
-            2.5000000000000000e+00 -2 -3 1514 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.4875234365463257e-01 4.0717402100563049e-01
-            3.7182134389877319e-01 -5.7021689414978027e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7052574157714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1515 3.5000000000000000e+00 0 -1 1516
-            8.2350000000000000e+02 -2 -3 1517 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7814382314682007e-01 3.1433707475662231e-01
-            1.5364609658718109e-01 -6.9893133640289307e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7430255889892578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1518 7.5000000000000000e+00 0 -1 1519
-            2.7150000000000000e+02 -2 -3 1520 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.7767973542213440e-01 -5.5577713251113892e-01
-            5.0659346580505371e-01 -2.3998673260211945e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7607677459716797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1521 8.5000000000000000e+00 0 -1 1522
-            3.7500000000000000e+01 -2 -3 1523 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3116837739944458e-01 1. 1.7742125689983368e-01
-            -9.6981590986251831e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7209033966064453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1524 1.7500000000000000e+01 0 -1 1525 3333. -2 -3 1526
-            2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5140603780746460e-01 -5.5955231189727783e-01
-            3.5482010245323181e-01 -6.4368051290512085e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7508213043212891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1527 1.3295000000000000e+03 0 -1 1528
-            3.5000000000000000e+00 -2 -3 1529 2.9905000000000000e+03</internalNodes>
-          <leafValues>
-            8.6157292127609253e-01 -6.5889972448348999e-01
-            2.9918015003204346e-01 -5.1698189973831177e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7847724914550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1530 5.8500000000000000e+01 0 -1 1531 4269. -2 -3 1532
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0496505498886108e-01 9.6496659517288208e-01
-            3.3951207995414734e-01 -2.9617905616760254e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8073795318603516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1533 1.4795000000000000e+03 0 -1 1534 1436. -2 -3 1535
-            3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1324147731065750e-02 -7.3305028676986694e-01
-            -9.5588427782058716e-01 8.9802700281143188e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8258213043212891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1536 8.5000000000000000e+00 0 -1 1537
-            2.3500000000000000e+01 -2 -3 1538 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.1342080309987068e-02 -7.0464617013931274e-01
-            4.9904069304466248e-01 -2.1743535995483398e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7891689300537109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1539 5.0000000000000000e-01 0 -1 1540
-            1.5000000000000000e+00 -2 -3 1541 3.0595000000000000e+03</internalNodes>
-          <leafValues>
-            -5.2796399593353271e-01 3.7497097253799438e-01
-            -4.9453270435333252e-01 5.0762557983398438e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8188655853271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1542 5.0000000000000000e-01 0 -1 1543
-            1.5000000000000000e+00 -2 -3 1544 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9199644327163696e-01 2.9696619510650635e-01
-            -5.4498016834259033e-01 9.7139292955398560e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8280239105224609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1545 3.3500000000000000e+01 0 -1 1546
-            5.0000000000000000e-01 -2 -3 1547 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4268378615379333e-01 -1.9920051097869873e-01
-            9.4228142499923706e-01 -7.5990098714828491e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7867527008056641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1548 7.5000000000000000e+00 0 -1 1549 339. -2 -3 1550
-            2.0555000000000000e+03</internalNodes>
-          <leafValues>
-            -8.4151726961135864e-01 3.1999579071998596e-01
-            2.5331634283065796e-01 -9.0427207946777344e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8132240295410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1551 1.5000000000000000e+00 0 -1 1552
-            7.8650000000000000e+02 -2 -3 1553 1.8550000000000000e+02</internalNodes>
-          <leafValues>
-            9.1284018754959106e-01 -7.6456803083419800e-01
-            2.6471161842346191e-01 -5.1480412483215332e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8396484375000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1554 7.2500000000000000e+01 0 -1 1555
-            2.0845000000000000e+03 -2 -3 1556 682.</internalNodes>
-          <leafValues>
-            2.6424339413642883e-01 -5.3545671701431274e-01
-            5.8558118343353271e-01 -6.5226233005523682e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8931407928466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1557 4.8500000000000000e+01 0 -1 1558
-            2.0650000000000000e+02 -2 -3 1559 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.9781129360198975e-01 8.4498012065887451e-01
-            5.9064257144927979e-01 -2.2476838529109955e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9235450744628906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1560 5.6850000000000000e+02 0 -1 1561 92. -2 -3 1562
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.1817409992218018e-01 6.5666520595550537e-01
-            -3.9366659522056580e-01 3.7859344482421875e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8954090118408203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1563 3.5500000000000000e+01 0 -1 1564
-            4.1500000000000000e+01 -2 -3 1565 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.5591202974319458e-01 2.9819571971893311e-01
-            6.6078835725784302e-01 -7.5122755765914917e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8992759704589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1566 2.5000000000000000e+00 0 -1 1567
-            7.2450000000000000e+02 -2 -3 1568 7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6733225584030151e-01 -8.6994355916976929e-01
-            -6.7115420103073120e-01 2.8546950221061707e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9206840515136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1569 125. 0 -1 1570 1.1500000000000000e+01 -2 -3 1571
-            1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3097745180130005e-01 2.1407873928546906e-01
-            -8.3158969879150391e-01 4.2057126760482788e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8675384521484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1572 8.2500000000000000e+01 0 -1 1573
-            9.5000000000000000e+00 -2 -3 1574 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0376458168029785e-01 6.8508493900299072e-01
-            -7.6011431217193604e-01 -4.0676746517419815e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.8824657440185547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1575 5.3500000000000000e+01 0 -1 1576 3877. -2 -3 1577
-            1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 7.3939621448516846e-01 -4.9733954668045044e-01
-            1.4926970005035400e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8581497192382812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1578 1.6165000000000000e+03 0 -1 1579 267. -2 -3 1580
-            2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4517678022384644e-01 8.4405893087387085e-01
-            -2.4316047132015228e-01 7.9341024160385132e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8863464355468750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1581 1.6500000000000000e+01 0 -1 1582
-            5.5000000000000000e+00 -2 -3 1583 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9863419532775879e-01 2.8196731209754944e-01
-            -8.9268469810485840e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.9290416717529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1584 3.5000000000000000e+00 0 -1 1585
-            5.0000000000000000e-01 -2 -3 1586 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3463970422744751e-01 4.2695468664169312e-01
-            -5.4126203060150146e-01 1.1317404359579086e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9067043304443359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1587 5.0000000000000000e-01 0 -1 1588
-            4.0950000000000000e+02 -2 -3 1589 7.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.0176566839218140e-01 5.1602709293365479e-01
-            3.0980804562568665e-01 -4.6058577299118042e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9415367126464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1590 1.5000000000000000e+00 0 -1 1591 12. -2 -3 1592
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9384574890136719e-01 6.5746247768402100e-01
-            3.4832605719566345e-01 -3.8974580168724060e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9919109344482422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1593 1.0845000000000000e+03 0 -1 1594 5947. -2 -3 1595
-            2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0374138355255127e-01 -5.3129601478576660e-01
-            -5.8001512289047241e-01 2.0108926296234131e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0114849090576172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1596 5.0000000000000000e-01 0 -1 1597
-            3.8650000000000000e+02 -2 -3 1598 8.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.9583384990692139e-01 5.1855945587158203e-01
-            1.9573992490768433e-01 -9.6577078104019165e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9724266052246094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1599 7.0500000000000000e+01 0 -1 1600
-            7.6500000000000000e+01 -2 -3 1601 184.</internalNodes>
-          <leafValues>
-            -3.9058533310890198e-01 6.3270717859268188e-01
-            7.7843767404556274e-01 -4.2521533370018005e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0343318939208984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1602 1.5000000000000000e+00 0 -1 1603
-            2.9250000000000000e+02 -2 -3 1604 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            6.1905455589294434e-01 -8.7556785345077515e-01
-            9.3074835836887360e-02 -6.4517015218734741e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0081771850585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1605 5.0000000000000000e-01 0 -1 1606
-            6.9450000000000000e+02 -2 -3 1607 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.6154583692550659e-01 4.7799167037010193e-01
-            -5.8910161256790161e-01 6.0072517395019531e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0815013885498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1608 2.5000000000000000e+00 0 -1 1609
-            9.5000000000000000e+00 -2 -3 1610 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3109228610992432e-01 7.3323935270309448e-01
-            2.7432879805564880e-01 -4.7720876336097717e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1090702056884766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1611 4.5000000000000000e+00 0 -1 1612 3598. -2 -3 1613
-            2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3982020616531372e-01 -8.5344749689102173e-01
-            -7.6124453544616699e-01 2.7569055557250977e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1016242980957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1614 2039. 0 -1 1615 1.3715000000000000e+03 -2 -3 1616
-            6.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4461504817008972e-02 7.2212553024291992e-01
-            -9.3716764450073242e-01 7.9280626773834229e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1511177062988281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1617 1.5500000000000000e+01 0 -1 1618
-            2.7850000000000000e+02 -2 -3 1619 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9493625760078430e-01 -1.4364461600780487e-01
-            -7.4662274122238159e-01 1.7349389195442200e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1308986663818359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1620 509. 0 -1 1621 7.8850000000000000e+02 -2 -3 1622
-            1.3385000000000000e+03</internalNodes>
-          <leafValues>
-            1. -8.4440898895263672e-01 -2.0219227671623230e-01
-            3.7608841061592102e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1725578308105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1623 5.0000000000000000e-01 0 -1 1624
-            3.5000000000000000e+00 -2 -3 1625 9.6850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8042527437210083e-01 4.1659390926361084e-01
-            -3.2863637804985046e-01 9.1594344377517700e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1604068756103516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1626 1.1500000000000000e+01 0 -1 1627
-            1.0950000000000000e+02 -2 -3 1628 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.1871238350868225e-01 -5.2247148752212524e-01
-            4.1599029302597046e-01 -7.9632645845413208e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1932075500488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1629 9.5000000000000000e+00 0 -1 1630 219. -2 -3 1631
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.8585010468959808e-02 -7.9883521795272827e-01
-            -8.0256676673889160e-01 3.2800525426864624e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2076450347900391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1632 1.3850000000000000e+02 0 -1 1633
-            3.5000000000000000e+00 -2 -3 1634 5.6350000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1192250251770020e-01 3.7852096557617188e-01
-            4.3628749251365662e-01 -4.0311765670776367e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2020500183105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1635 5.6500000000000000e+01 0 -1 1636
-            9.5000000000000000e+00 -2 -3 1637 1.4245000000000000e+03</internalNodes>
-          <leafValues>
-            -5.1858995109796524e-02 -8.9690828323364258e-01
-            -2.6840057969093323e-01 4.4323852658271790e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1941585540771484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1638 5.0000000000000000e-01 0 -1 1639 9. -2 -3 1640
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -1. 6.7882001399993896e-01 -7.8914739191532135e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2187667846679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1641 1.5000000000000000e+00 0 -1 1642 62. -2 -3 1643
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4608352780342102e-01 -8.4340018033981323e-01
-            -6.7122465372085571e-01 3.1627139449119568e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2444705963134766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1644 2.5000000000000000e+00 0 -1 1645
-            2.8395000000000000e+03 -2 -3 1646 3.7950000000000000e+02</internalNodes>
-          <leafValues>
-            4.3465691804885864e-01 -8.7070471048355103e-01
-            -4.0003356337547302e-01 2.5703859329223633e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2706104278564453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1647 1.5000000000000000e+00 0 -1 1648
-            2.6550000000000000e+02 -2 -3 1649 2.1605000000000000e+03</internalNodes>
-          <leafValues>
-            7.4084126949310303e-01 -5.8476543426513672e-01
-            3.2751929759979248e-01 -6.7271316051483154e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2585681915283203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1650 5.6500000000000000e+01 0 -1 1651
-            2.7500000000000000e+01 -2 -3 1652 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1114237308502197e-01 4.1461613774299622e-01
-            5.1251345872879028e-01 -4.7370293736457825e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2783508300781250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1653 5.3500000000000000e+01 0 -1 1654 2387. -2 -3 1655
-            1.0785000000000000e+03</internalNodes>
-          <leafValues>
-            1.9782398641109467e-01 -4.3944674730300903e-01
-            -8.3261007070541382e-01 6.3095438480377197e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2716720581054688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1656 5.5000000000000000e+00 0 -1 1657
-            4.5000000000000000e+00 -2 -3 1658 9.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7844653129577637e-01 4.0278115868568420e-01
-            3.6051991581916809e-01 -4.8275879025459290e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2472888946533203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1659 3.0500000000000000e+01 0 -1 1660 8368. -2 -3 1661
-            1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5116344243288040e-02 -9.4818419218063354e-01
-            4.0040487051010132e-01 -3.5688531398773193e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2881244659423828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1662 1.5000000000000000e+00 0 -1 1663
-            3.5500000000000000e+01 -2 -3 1664 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -9.0177541971206665e-01 4.0835642814636230e-01
-            -1.8136456608772278e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3022640228271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1665 8.5000000000000000e+00 0 -1 1666
-            1.9500000000000000e+01 -2 -3 1667 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6577585935592651e-01 7.7897077798843384e-01
-            -5.0283867120742798e-01 2.9658859968185425e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3449874877929688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1668 8.3950000000000000e+02 0 -1 1669
-            1.1335000000000000e+03 -2 -3 1670 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.2557518482208252e-01 4.2723217606544495e-01
-            -8.2576507329940796e-01 -1.0434284806251526e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3252624511718750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1671 139. 0 -1 1672 5.0000000000000000e-01 -2 -3 1673
-            2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1489660739898682e-01 -1.9724959135055542e-01
-            -8.4620368480682373e-01 3.6422318220138550e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3265483856201172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1674 6.2150000000000000e+02 0 -1 1675 2672. -2 -3 1676
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.2861014343798161e-02 -9.1588306427001953e-01
-            -8.4077650308609009e-01 9.4888907670974731e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3836368560791016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1677 3.5000000000000000e+00 0 -1 1678
-            2.8950000000000000e+02 -2 -3 1679 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7555305957794189e-01 2.2934845089912415e-01
-            5.7088255882263184e-01 -1.5547750890254974e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3863594055175781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1680 2.5000000000000000e+00 0 -1 1681
-            5.5000000000000000e+00 -2 -3 1682 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2342543601989746e-01 1. 2.6264595985412598e-01
-            -4.0114754438400269e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3550628662109375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1683 2.7850000000000000e+02 0 -1 1684
-            4.8250000000000000e+02 -2 -3 1685 3.4155000000000000e+03</internalNodes>
-          <leafValues>
-            -6.6107988357543945e-01 5.0213998556137085e-01
-            2.4799732863903046e-01 -9.5342993736267090e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3861141204833984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1686 1.2135000000000000e+03 0 -1 1687
-            1.3565000000000000e+03 -2 -3 1688 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3651562929153442e-01 9.3487417697906494e-01
-            -2.5045010447502136e-01 6.4042550325393677e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3451419830322266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1689 3.0550000000000000e+02 0 -1 1690
-            2.0865000000000000e+03 -2 -3 1691 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3299653530120850e-01 6.8890345096588135e-01
-            -7.7928084135055542e-01 3.3616758882999420e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.3891139984130859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1692 1.4500000000000000e+01 0 -1 1693 1392. -2 -3 1694
-            2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9326841831207275e-01 4.3972003459930420e-01
-            -5.9055811166763306e-01 1.4402525126934052e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4478630065917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1695 5.0000000000000000e-01 0 -1 1696
-            1.5000000000000000e+00 -2 -3 1697 819.</internalNodes>
-          <leafValues>
-            -6.1571627855300903e-01 5.8748626708984375e-01
-            -4.1089773178100586e-01 5.4873436689376831e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4206130981445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1698 8.6650000000000000e+02 0 -1 1699
-            3.4500000000000000e+01 -2 -3 1700 1.0185000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7249464392662048e-01 3.9035290479660034e-01
-            3.8879543542861938e-01 -8.3664953708648682e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4592948913574219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1701 9.7500000000000000e+01 0 -1 1702
-            9.5500000000000000e+01 -2 -3 1703 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3947530984878540e-01 8.5832071304321289e-01
-            -3.9922302961349487e-01 3.0327111482620239e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4378982543945312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1704 5.0000000000000000e-01 0 -1 1705
-            2.5000000000000000e+00 -2 -3 1706 1.5755000000000000e+03</internalNodes>
-          <leafValues>
-            -2.9975247383117676e-01 5.9291505813598633e-01
-            9.0688472986221313e-01 -3.4945115447044373e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4591911315917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1707 4.4050000000000000e+02 0 -1 1708
-            5.0500000000000000e+01 -2 -3 1709 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1292972564697266e-01 -9.1971194744110107e-01
-            5.7173824310302734e-01 -9.4372731447219849e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4826133728027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1710 1.5000000000000000e+00 0 -1 1711 442. -2 -3 1712
-            5.5250000000000000e+02</internalNodes>
-          <leafValues>
-            2.2733847796916962e-01 -7.3592525720596313e-01
-            -5.2650618553161621e-01 2.3422205448150635e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5069717407226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1713 8.5000000000000000e+00 0 -1 1714
-            8.5000000000000000e+00 -2 -3 1715 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5332247018814087e-01 -8.6987191438674927e-01
-            2.3650217056274414e-01 -5.0223588943481445e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5310997009277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1716 9.5000000000000000e+00 0 -1 1717
-            1.1500000000000000e+01 -2 -3 1718 203.</internalNodes>
-          <leafValues>
-            -9.7941344976425171e-01 3.6707261204719543e-01
-            3.1545862555503845e-02 -8.0945146083831787e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5503784179687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1719 7.2350000000000000e+02 0 -1 1720
-            6.7950000000000000e+02 -2 -3 1721 4.1850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2629940509796143e-01 1.9278171658515930e-01
-            5.3028446435928345e-01 -9.3524670600891113e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5250198364257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1722 1.2500000000000000e+01 0 -1 1723
-            8.0650000000000000e+02 -2 -3 1724 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.5862687826156616e-01 -4.6297156810760498e-01
-            -7.5136619806289673e-01 3.6253631114959717e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5528388977050781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1725 9.4500000000000000e+01 0 -1 1726
-            4.8500000000000000e+01 -2 -3 1727 19.</internalNodes>
-          <leafValues>
-            -6.7188930511474609e-01 6.1620616912841797e-01
-            2.7818998694419861e-01 -8.1198740005493164e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5322471618652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1728 5.0000000000000000e-01 0 -1 1729
-            2.2500000000000000e+01 -2 -3 1730 8.3350000000000000e+02</internalNodes>
-          <leafValues>
-            4.7361961007118225e-01 -9.5221102237701416e-01
-            1.1696549504995346e-01 -5.4392391443252563e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5620056152343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1731 4.9500000000000000e+01 0 -1 1732 946. -2 -3 1733
-            4.8150000000000000e+02</internalNodes>
-          <leafValues>
-            6.7783489823341370e-02 -7.3351651430130005e-01
-            -9.0184271335601807e-02 5.8411657810211182e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5868316650390625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1734 1.2950000000000000e+02 0 -1 1735
-            2.5000000000000000e+00 -2 -3 1736 4.0650000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2412188053131104e-01 2.4825538694858551e-01
-            -9.9130809307098389e-01 8.9735072851181030e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5986862182617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1737 4.5000000000000000e+00 0 -1 1738
-            5.0000000000000000e-01 -2 -3 1739 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2515478134155273e-01 1.1854794621467590e-01
-            -6.7809820175170898e-01 2.4897077679634094e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5959693908691406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1740 3.8500000000000000e+01 0 -1 1741
-            5.0000000000000000e-01 -2 -3 1742 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            6.0215097665786743e-01 -2.5286811590194702e-01
-            -6.4079183340072632e-01 8.4301076829433441e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.6134086608886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1743 8.2500000000000000e+01 0 -1 1744
-            3.5000000000000000e+00 -2 -3 1745 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8188738822937012e-01 1.7439460754394531e-01
-            -9.2948049306869507e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>6.6361648559570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1746 814. 0 -1 1747 1.9500000000000000e+01 -2 -3 1748
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7682356834411621e-01 7.5955659151077271e-01
-            2.2756047546863556e-01 -3.8351824879646301e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6531791687011719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1749 1308. 0 -1 1750 6.5000000000000000e+00 -2 -3 1751
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.7014220356941223e-01 -5.7149434089660645e-01
-            7.9037719964981079e-01 -9.5655971765518188e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6605209350585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1752 3.6500000000000000e+01 0 -1 1753
-            5.0000000000000000e-01 -2 -3 1754 2.5150000000000000e+02</internalNodes>
-          <leafValues>
-            6.6666525602340698e-01 -8.1346422433853149e-01
-            1.6785284876823425e-01 -6.6657412052154541e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6571502685546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1755 1.9500000000000000e+01 0 -1 1756
-            8.0500000000000000e+01 -2 -3 1757 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.3701382577419281e-02 -7.4847251176834106e-01
-            -7.7443891763687134e-01 6.1074006557464600e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6785156250000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1758 2.5000000000000000e+00 0 -1 1759 43. -2 -3 1760
-            1.0015000000000000e+03</internalNodes>
-          <leafValues>
-            -8.5154837369918823e-01 8.3069330453872681e-01
-            2.1365079283714294e-01 -5.7956165075302124e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6786399841308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1761 1.9050000000000000e+02 0 -1 1762
-            1.0535000000000000e+03 -2 -3 1763 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5784974098205566e-01 -5.2838063240051270e-01
-            3.2312652468681335e-01 -6.2864887714385986e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7081779479980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1764 1.7500000000000000e+01 0 -1 1765
-            5.5000000000000000e+00 -2 -3 1766 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3773536682128906e-01 8.6540682241320610e-03
-            -7.6469355821609497e-01 5.3673422336578369e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7328659057617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1767 2.7450000000000000e+02 0 -1 1768
-            2.5000000000000000e+00 -2 -3 1769 1.2350000000000000e+02</internalNodes>
-          <leafValues>
-            1.8835125863552094e-01 -8.5055798292160034e-01
-            2.4687612056732178e-01 -7.6298141479492188e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7479103088378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1770 3.2325000000000000e+03 0 -1 1771
-            4.3250000000000000e+02 -2 -3 1772 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5044631063938141e-01 -5.9252446889877319e-01
-            7.3350501060485840e-01 -3.6927312612533569e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7486915588378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1773 4.3500000000000000e+01 0 -1 1774
-            2.5265000000000000e+03 -2 -3 1775 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            7.8096417710185051e-03 -8.9472562074661255e-01
-            -5.6938666105270386e-01 4.1206309199333191e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7184608459472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1776 1.2500000000000000e+01 0 -1 1777
-            3.5500000000000000e+01 -2 -3 1778 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4249776005744934e-01 2.9335400462150574e-01
-            -6.3165670633316040e-01 7.5325357913970947e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7494506835937500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1779 3.7650000000000000e+02 0 -1 1780
-            5.0000000000000000e-01 -2 -3 1781 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2761709690093994e-01 -7.7626377344131470e-01
-            -3.4604665637016296e-01 3.2856348156929016e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7218788146972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1782 5.0000000000000000e-01 0 -1 1783 3854. -2 -3 1784
-            9.9650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3792868852615356e-01 7.5467681884765625e-01
-            -2.9438218474388123e-01 5.6371760368347168e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7561782836914062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1785 1.6365000000000000e+03 0 -1 1786
-            5.5000000000000000e+00 -2 -3 1787 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1908555030822754e-01 3.4299522638320923e-01
-            -8.5923063755035400e-01 2.6721331477165222e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7637489318847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1788 5.5500000000000000e+01 0 -1 1789
-            2.5000000000000000e+00 -2 -3 1790 5.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7663235664367676e-01 7.0542359352111816e-01
-            -6.2124180793762207e-01 1.0107668116688728e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7872940063476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1791 1.1435000000000000e+03 0 -1 1792
-            8.4500000000000000e+01 -2 -3 1793 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.3545160889625549e-01 -7.6414716243743896e-01
-            4.4412618875503540e-01 -9.5045959949493408e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8379867553710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1794 5.0000000000000000e-01 0 -1 1795
-            3.5000000000000000e+00 -2 -3 1796 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.0692296028137207e-01 -5.1141291856765747e-01
-            -7.6778936386108398e-01 -6.7547991871833801e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.8707763671875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1797 1.3500000000000000e+01 0 -1 1798
-            4.5000000000000000e+00 -2 -3 1799 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2192513942718506e-01 4.4987043738365173e-01
-            3.2790130376815796e-01 -4.7422546148300171e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8286819458007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1800 3.1500000000000000e+01 0 -1 1801
-            1.1415000000000000e+03 -2 -3 1802 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2094790935516357e-01 2.4803330004215240e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>6.8052871704101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1803 3.8850000000000000e+02 0 -1 1804
-            5.5945000000000000e+03 -2 -3 1805 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 9.7139048576354980e-01 -3.3056256175041199e-01
-            2.6478901505470276e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8410385131835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1806 5.0000000000000000e-01 0 -1 1807
-            1.5000000000000000e+00 -2 -3 1808 75.</internalNodes>
-          <leafValues>
-            -5.0366848707199097e-01 4.0760627388954163e-01
-            4.9484097957611084e-01 -6.4907956123352051e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8928771972656250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1809 1.2250000000000000e+02 0 -1 1810
-            7.5000000000000000e+00 -2 -3 1811 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0449191331863403e-01 9.7664463520050049e-01
-            -3.6998346447944641e-01 2.0591719448566437e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9253982543945312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1812 1.0250000000000000e+02 0 -1 1813
-            3.5000000000000000e+00 -2 -3 1814 3.1250000000000000e+02</internalNodes>
-          <leafValues>
-            -8.1731587648391724e-01 3.2521212100982666e-01
-            3.7988114356994629e-01 -6.4639246463775635e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9205451965332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1815 1.2050000000000000e+02 0 -1 1816
-            6.0500000000000000e+01 -2 -3 1817 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.8533525317907333e-02 8.4871995449066162e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>6.9166992187500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1818 5.0000000000000000e-01 0 -1 1819
-            4.2550000000000000e+02 -2 -3 1820 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8487004637718201e-01 -5.4979419708251953e-01
-            -4.2108422517776489e-01 4.5939767360687256e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9126815795898438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1821 5.8150000000000000e+02 0 -1 1822
-            3.5500000000000000e+01 -2 -3 1823 9.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9901461601257324e-01 -8.1184327602386475e-01
-            5.8108931779861450e-01 -6.8361051380634308e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9228797912597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1824 8.5000000000000000e+00 0 -1 1825
-            1.2500000000000000e+01 -2 -3 1826 8.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4501130580902100e-01 2.3137541115283966e-01
-            3.7868604063987732e-01 -4.4107386469841003e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9378318786621094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1827 5.0000000000000000e-01 0 -1 1828
-            4.9500000000000000e+01 -2 -3 1829 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1642808914184570e-01 -7.8047537803649902e-01
-            -7.4845105409622192e-01 1.1628971993923187e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9186073303222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1830 2.7050000000000000e+02 0 -1 1831 45. -2 -3 1832
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -9.4139373302459717e-01 -1.9224344193935394e-01
-            4.3496173620223999e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9486175537109375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1833 1.4050000000000000e+02 0 -1 1834
-            1.5000000000000000e+00 -2 -3 1835 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3685461282730103e-01 3.0009758472442627e-01
-            -6.2791568040847778e-01 2.8461813926696777e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9622322082519531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1836 1.0500000000000000e+01 0 -1 1837
-            9.6550000000000000e+02 -2 -3 1838 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7085101604461670e-01 4.4815340638160706e-01
-            6.2162548303604126e-01 -4.0746492147445679e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9615928649902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1839 1.4500000000000000e+01 0 -1 1840
-            4.0150000000000000e+02 -2 -3 1841 53.</internalNodes>
-          <leafValues>
-            6.2382644414901733e-01 -3.1839877367019653e-01
-            5.9402352571487427e-01 -7.7672713994979858e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9581390380859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1842 1.9050000000000000e+02 0 -1 1843
-            1.9350000000000000e+02 -2 -3 1844 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.6475450992584229e-01 3.9425066113471985e-01
-            -2.0569822192192078e-01 4.3429613113403320e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9716117858886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1845 1.1500000000000000e+01 0 -1 1846
-            2.5000000000000000e+00 -2 -3 1847 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.3410567045211792e-01 3.6131811141967773e-01
-            3.8923510909080505e-01 -7.3655128479003906e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9997550964355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1848 2.8500000000000000e+01 0 -1 1849
-            1.5000000000000000e+00 -2 -3 1850 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0613466501235962e-01 2.8143337368965149e-01
-            -9.6434587240219116e-01 5.6036943197250366e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9693450927734375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1851 2.0350000000000000e+02 0 -1 1852
-            9.9350000000000000e+02 -2 -3 1853 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5412253141403198e-01 -6.5566647052764893e-01
-            -5.3069335222244263e-01 1.0198003053665161e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9937568664550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1854 2.5785000000000000e+03 0 -1 1855
-            2.5000000000000000e+00 -2 -3 1856 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.7543450593948364e-01 2.4412074685096741e-01 1.
-            -9.1257572174072266e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0639808654785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1857 5.7750000000000000e+02 0 -1 1858
-            4.6500000000000000e+01 -2 -3 1859 1.3150000000000000e+02</internalNodes>
-          <leafValues>
-            7.8946912288665771e-01 -3.5598552227020264e-01
-            6.2578904628753662e-01 -5.0993841886520386e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0555007934570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1860 5.0000000000000000e-01 0 -1 1861 16. -2 -3 1862
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.4747436046600342e-01 1. 4.5841571688652039e-01
-            -1.7203371226787567e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0579658508300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1863 1.0250000000000000e+02 0 -1 1864
-            1.0500000000000000e+01 -2 -3 1865 1.3550000000000000e+02</internalNodes>
-          <leafValues>
-            -7.5043040513992310e-01 -1.3392960652709007e-02
-            -5.0063830614089966e-01 4.7692352533340454e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0888481140136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1866 5.0000000000000000e-01 0 -1 1867
-            2.9500000000000000e+01 -2 -3 1868 8.0550000000000000e+02</internalNodes>
-          <leafValues>
-            3.0881932377815247e-01 -8.9407527446746826e-01
-            7.8238004446029663e-01 -5.9828531742095947e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0740913391113281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1869 1.2150000000000000e+02 0 -1 1870
-            2.4500000000000000e+01 -2 -3 1871 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3594596982002258e-01 6.2877231836318970e-01
-            -4.9541813135147095e-01 3.6229962110519409e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1206985473632812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1872 3.5000000000000000e+00 0 -1 1873
-            1.4275000000000000e+03 -2 -3 1874 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.9479568004608154e-01 3.8346680998802185e-01
-            4.6607276797294617e-01 -1.8312121927738190e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1451019287109375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1875 1.8500000000000000e+01 0 -1 1876 65. -2 -3 1877
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7731359004974365e-01 9.2451179027557373e-01
-            -5.7414340972900391e-01 2.4403360486030579e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0688819885253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1878 1.5000000000000000e+00 0 -1 1879
-            1.5250000000000000e+02 -2 -3 1880 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.6112758517265320e-01 -5.4053640365600586e-01
-            -4.3820820748806000e-02 -7.6219600439071655e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1147773742675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1881 4.1500000000000000e+01 0 -1 1882
-            1.7500000000000000e+01 -2 -3 1883 4.1250000000000000e+02</internalNodes>
-          <leafValues>
-            -4.4425949454307556e-01 6.3956463336944580e-01
-            -4.9368324875831604e-01 4.5895308256149292e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1452705383300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1884 1.4325000000000000e+03 0 -1 1885
-            1.7500000000000000e+01 -2 -3 1886 23.</internalNodes>
-          <leafValues>
-            -9.5096543431282043e-02 5.0955659151077271e-01
-            -8.3886599540710449e-01 8.5678941011428833e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1636161804199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1887 1.2050000000000000e+02 0 -1 1888
-            8.0050000000000000e+02 -2 -3 1889 1716.</internalNodes>
-          <leafValues>
-            -6.7043030261993408e-01 1.8345704674720764e-01
-            -9.0125375986099243e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>7.1818664550781250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1890 1.5000000000000000e+00 0 -1 1891
-            5.0000000000000000e-01 -2 -3 1892 808.</internalNodes>
-          <leafValues>
-            1.8249766528606415e-01 -5.5717653036117554e-01 -1.
-            4.4042342901229858e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2026985168457031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1893 3.5000000000000000e+00 0 -1 1894 8. -2 -3 1895
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3179380893707275e-01 1. 2.0832556486129761e-01
-            -5.2329808473587036e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1846588134765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1896 1.1950000000000000e+02 0 -1 1897
-            1.9500000000000000e+01 -2 -3 1898 2.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.8040254712104797e-01 6.0258209705352783e-01
-            5.5354207754135132e-01 -7.1650350093841553e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1900581359863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1899 9.0450000000000000e+02 0 -1 1900 266. -2 -3 1901
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.8607088327407837e-01 -7.7522158622741699e-01
-            -2.7132809162139893e-01 3.9066424965858459e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2254920959472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1902 1.4500000000000000e+01 0 -1 1903
-            7.5850000000000000e+02 -2 -3 1904 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3261140584945679e-01 3.5433784127235413e-01
-            2.6537308096885681e-01 -7.9342633485794067e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2434974670410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1905 3.4445000000000000e+03 0 -1 1906
-            2.5000000000000000e+00 -2 -3 1907 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8569511175155640e-01 1.8006032705307007e-01
-            -9.2150622606277466e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>7.2396644592285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1908 1.5000000000000000e+00 0 -1 1909
-            2.1500000000000000e+01 -2 -3 1910 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7500020861625671e-01 4.5450302958488464e-01
-            -5.1121622323989868e-01 7.1714913845062256e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1966697692871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1911 3.5500000000000000e+01 0 -1 1912
-            1.6975000000000000e+03 -2 -3 1913 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.2354284524917603e-01 -5.5644631385803223e-01
-            -6.0473889112472534e-01 1.6627989709377289e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2265373229980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1914 1.5000000000000000e+00 0 -1 1915 2029. -2 -3 1916
-            165.</internalNodes>
-          <leafValues>
-            -7.3123896121978760e-01 7.1832627058029175e-01
-            2.9867425560951233e-01 -6.3333243131637573e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2611221313476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1917 7.5000000000000000e+00 0 -1 1918
-            4.9500000000000000e+01 -2 -3 1919 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9519095420837402e-01 8.1671148538589478e-01
-            4.5284107327461243e-01 -1.4600232243537903e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3058769226074219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1920 7.5000000000000000e+00 0 -1 1921
-            6.5000000000000000e+00 -2 -3 1922 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            8.6240917444229126e-02 -6.9517636299133301e-01
-            4.4754931330680847e-01 -4.5200899243354797e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3110542297363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1923 1.7815000000000000e+03 0 -1 1924
-            1.0005000000000000e+03 -2 -3 1925 3.2945000000000000e+03</internalNodes>
-          <leafValues>
-            -8.3461540937423706e-01 9.6288299560546875e-01
-            8.1745308637619019e-01 -5.5225487798452377e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.2996879577636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1926 7.5000000000000000e+00 0 -1 1927
-            6.5000000000000000e+00 -2 -3 1928 3.8050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.8741214275360107e-01 8.4089756011962891e-01
-            -3.3457726240158081e-01 3.7242683768272400e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3333457946777344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1929 1.4500000000000000e+01 0 -1 1930
-            2.7500000000000000e+01 -2 -3 1931 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3657467365264893e-01 -5.5885529518127441e-01
-            -7.7352440357208252e-01 7.2826080024242401e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.2824409484863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1932 5.5000000000000000e+00 0 -1 1933
-            4.8550000000000000e+02 -2 -3 1934 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0904840230941772e-01 5.5190944671630859e-01
-            -4.8847538232803345e-01 3.6895498633384705e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3038925170898438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1935 1.5595000000000000e+03 0 -1 1936
-            2.0500000000000000e+01 -2 -3 1937 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6917760968208313e-01 3.1854984164237976e-01
-            -8.7062478065490723e-01 4.9816086888313293e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3263801574707031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1938 1.0015000000000000e+03 0 -1 1939
-            1.5000000000000000e+00 -2 -3 1940 2974.</internalNodes>
-          <leafValues>
-            -7.0936071872711182e-01 2.2487121820449829e-01
-            -8.8643109798431396e-01 7.1286094188690186e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3553604125976562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1941 2.5000000000000000e+00 0 -1 1942
-            3.4150000000000000e+02 -2 -3 1943 1173.</internalNodes>
-          <leafValues>
-            2.8980860114097595e-01 -6.4726233482360840e-01
-            -6.5974622964859009e-01 5.0034427642822266e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4105926513671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1944 1.6585000000000000e+03 0 -1 1945
-            6.7550000000000000e+02 -2 -3 1946 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1926132440567017e-01 5.5879336595535278e-01
-            -6.7974144220352173e-01 1.0105973482131958e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4186531066894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1947 1.1505000000000000e+03 0 -1 1948
-            4.5000000000000000e+00 -2 -3 1949 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8859964609146118e-01 7.4128083884716034e-02
-            -8.4579437971115112e-01 4.9757060408592224e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4735351562500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1950 3.2750000000000000e+02 0 -1 1951 440. -2 -3 1952
-            1255.</internalNodes>
-          <leafValues>
-            -8.4635180234909058e-01 5.4881960153579712e-01
-            -7.5777089595794678e-01 5.4926741868257523e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4681823730468750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1953 1.5000000000000000e+00 0 -1 1954
-            5.0500000000000000e+01 -2 -3 1955 5.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0232021808624268e-01 8.5282677412033081e-01
-            2.3205398023128510e-01 -8.8023269176483154e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4392105102539062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1956 7.5000000000000000e+00 0 -1 1957
-            3.9350000000000000e+02 -2 -3 1958 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.9772809743881226e-01 -7.5726938247680664e-01
-            6.1714029312133789e-01 -8.7271124124526978e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4673728942871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1959 1.5000000000000000e+00 0 -1 1960
-            1.1500000000000000e+01 -2 -3 1961 2.0555000000000000e+03</internalNodes>
-          <leafValues>
-            -4.9139803647994995e-01 3.7206640839576721e-01
-            4.2800930142402649e-01 -5.5887550115585327e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5367835998535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1962 1.3650000000000000e+02 0 -1 1963 401. -2 -3 1964
-            7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.1597896814346313e-01 6.9410192966461182e-01
-            -5.2255064249038696e-01 1.0558886826038361e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5788253784179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1965 8.5000000000000000e+00 0 -1 1966
-            5.0000000000000000e-01 -2 -3 1967 6.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4586208462715149e-01 4.2041677236557007e-01
-            -7.7125865221023560e-01 1.2018596753478050e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6069732666015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1968 5.6850000000000000e+02 0 -1 1969
-            1.3500000000000000e+01 -2 -3 1970 5.7750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2104036808013916e-01 4.5175212621688843e-01
-            2.8147873282432556e-01 -5.9510231018066406e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6112258911132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1971 5.5000000000000000e+00 0 -1 1972
-            5.5750000000000000e+02 -2 -3 1973 1147.</internalNodes>
-          <leafValues>
-            -6.9539779424667358e-01 -4.7915484756231308e-02
-            4.5538648962974548e-01 -7.5604480504989624e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5756111145019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1974 5.0000000000000000e-01 0 -1 1975
-            8.5000000000000000e+00 -2 -3 1976 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.6900506019592285e-01 3.4268808364868164e-01
-            1.4950591325759888e-01 -7.2585535049438477e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6101287841796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1977 2.1500000000000000e+01 0 -1 1978
-            3.7500000000000000e+01 -2 -3 1979 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3152681589126587e-01 3.4517920017242432e-01
-            -7.0503693819046021e-01 9.6268767118453979e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6609313964843750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1980 1.0500000000000000e+01 0 -1 1981
-            1.2500000000000000e+01 -2 -3 1982 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1232813000679016e-01 5.2801662683486938e-01
-            -6.8980258703231812e-01 4.3460644781589508e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6257461547851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1983 1001. 0 -1 1984 3.5000000000000000e+00 -2 -3 1985
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 5.1140683889389038e-01 -6.1894029378890991e-01
-            9.8859548568725586e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6508773803710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1986 1.3500000000000000e+01 0 -1 1987
-            5.5000000000000000e+00 -2 -3 1988 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.8223472833633423e-01 9.0430533885955811e-01
-            -7.6901417970657349e-01 2.5131115317344666e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6511230468750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1989 2.3500000000000000e+01 0 -1 1990
-            7.7500000000000000e+01 -2 -3 1991 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4585875216871500e-03 -8.1063097715377808e-01
-            9.4792199134826660e-01 -8.4266769886016846e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7112556457519531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1992 9.5000000000000000e+00 0 -1 1993
-            1.5000000000000000e+00 -2 -3 1994 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            7.8646227717399597e-02 -5.8706396818161011e-01
-            7.7305620908737183e-01 -8.0239242315292358e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6619277954101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1995 3.9500000000000000e+01 0 -1 1996
-            1.2350000000000000e+02 -2 -3 1997 1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            3.2390201091766357e-01 -6.6501069068908691e-01
-            3.5864245891571045e-01 -8.1123942136764526e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7220901489257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1998 5.4750000000000000e+02 0 -1 1999
-            5.5350000000000000e+02 -2 -3 2000 7.7450000000000000e+02</internalNodes>
-          <leafValues>
-            6.3919067382812500e-01 -4.2759561538696289e-01
-            -4.5995783805847168e-01 3.5977739095687866e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7378273010253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2001 1.9615000000000000e+03 0 -1 2002
-            5.7550000000000000e+02 -2 -3 2003 16.</internalNodes>
-          <leafValues>
-            -1.8090914189815521e-01 4.4383099675178528e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>7.6999313354492188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2004 4.5000000000000000e+00 0 -1 2005
-            2.5000000000000000e+00 -2 -3 2006 4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            6.8634140491485596e-01 -8.3962488174438477e-01
-            -3.7895882129669189e-01 3.1631174683570862e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7379386901855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2007 2.3500000000000000e+01 0 -1 2008
-            2.5000000000000000e+00 -2 -3 2009 635.</internalNodes>
-          <leafValues>
-            -5.6043285131454468e-01 3.8007143139839172e-01
-            2.3420706391334534e-02 -8.1111401319503784e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7814773559570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2010 5.0000000000000000e-01 0 -1 2011
-            2.9015000000000000e+03 -2 -3 2012 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2206180095672607e-01 4.5896497368812561e-01
-            -8.3090221881866455e-01 -1.1289356648921967e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7731140136718750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2013 3.0050000000000000e+02 0 -1 2014 91. -2 -3 2015
-            1.3750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3637647330760956e-02 4.7793844342231750e-01
-            4.2891168594360352e-01 -9.1970837116241455e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7703033447265625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2016 6.5500000000000000e+01 0 -1 2017
-            4.6500000000000000e+01 -2 -3 2018 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            8.9802670478820801e-01 -7.9725235700607300e-01
-            3.0849361419677734e-01 -3.1823581457138062e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7592445373535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2019 1304. 0 -1 2020 5.0000000000000000e-01 -2 -3 2021
-            1.3550000000000000e+02</internalNodes>
-          <leafValues>
-            1.2925930321216583e-01 -4.4718819856643677e-01 -1.
-            9.2844516038894653e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7784370422363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2022 5.2500000000000000e+01 0 -1 2023 669. -2 -3 2024
-            5.8050000000000000e+02</internalNodes>
-          <leafValues>
-            1.9192789494991302e-01 -9.7164040803909302e-01
-            -9.6615767478942871e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>7.7990150451660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2025 2.5000000000000000e+00 0 -1 2026
-            4.0650000000000000e+02 -2 -3 2027 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.7283387482166290e-01 -9.0685445070266724e-01
-            -8.3814066648483276e-01 2.0578315854072571e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8123832702636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2028 5.1965000000000000e+03 0 -1 2029
-            3.5000000000000000e+00 -2 -3 2030 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2157174348831177e-01 1.3367784023284912e-01
-            -9.8569130897521973e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>7.7883827209472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2031 5.5000000000000000e+00 0 -1 2032
-            6.5000000000000000e+00 -2 -3 2033 3718.</internalNodes>
-          <leafValues>
-            -2.4000172317028046e-01 3.8893476128578186e-01
-            -9.0298855304718018e-01 -3.4131843596696854e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.8381683349609375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2034 5.5000000000000000e+00 0 -1 2035 329. -2 -3 2036
-            4.0575000000000000e+03</internalNodes>
-          <leafValues>
-            4.9785295128822327e-01 -1.1255059391260147e-01
-            -9.2938506603240967e-01 9.1427725553512573e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8554908752441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2037 4.2500000000000000e+01 0 -1 2038
-            1.0875000000000000e+03 -2 -3 2039 8.3500000000000000e+01</internalNodes>
-          <leafValues>
-            5.7865291833877563e-01 -9.1586309671401978e-01
-            1.7322470247745514e-01 -7.1539419889450073e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8587066650390625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2040 77. 0 -1 2041 5.6850000000000000e+02 -2 -3 2042
-            3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.7372999191284180e-01 3.2160468399524689e-02
-            9.6851015090942383e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>7.8467521667480469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2043 7.5000000000000000e+00 0 -1 2044
-            1.3500000000000000e+01 -2 -3 2045 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3381966352462769e-01 7.9535079002380371e-01
-            -5.9684050083160400e-01 2.6625540852546692e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8986984252929688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2046 2.7950000000000000e+02 0 -1 2047
-            5.6050000000000000e+02 -2 -3 2048 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1946407556533813e-01 -1.8982487916946411e-01
-            7.1982949972152710e-01 -4.8263704776763916e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8686080932617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2049 7.5000000000000000e+00 0 -1 2050 944. -2 -3 2051
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5592408180236816e-01 -5.5339312553405762e-01
-            -2.9819217324256897e-01 4.1327166557312012e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8943367004394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2052 1.1500000000000000e+01 0 -1 2053
-            4.0650000000000000e+02 -2 -3 2054 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3834916353225708e-01 2.5729319453239441e-01
-            -7.6927721500396729e-01 3.0943137407302856e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8510215759277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2055 3.3500000000000000e+01 0 -1 2056
-            5.0000000000000000e-01 -2 -3 2057 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6588112711906433e-01 -4.3315169215202332e-01
-            7.9588627815246582e-01 -4.4464468955993652e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8833564758300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2058 6.5000000000000000e+00 0 -1 2059
-            1.1650000000000000e+02 -2 -3 2060 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.0747748613357544e-01 5.7677578926086426e-01
-            3.2334649562835693e-01 -7.1281516551971436e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9065544128417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2061 114. 0 -1 2062 5.0000000000000000e-01 -2 -3 2063
-            1.1250000000000000e+02</internalNodes>
-          <leafValues>
-            2.3197774589061737e-01 -5.4661935567855835e-01
-            6.7165571451187134e-01 -7.9622262716293335e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9402275085449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2064 2.8050000000000000e+02 0 -1 2065
-            3.9650000000000000e+02 -2 -3 2066 2.9850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.8204798698425293e-01 3.3673200011253357e-01
-            -6.8767505884170532e-01 2.4135014414787292e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9591125488281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2067 1.5000000000000000e+00 0 -1 2068
-            5.5000000000000000e+00 -2 -3 2069 140.</internalNodes>
-          <leafValues>
-            -8.4002065658569336e-01 7.2916489839553833e-01
-            1.8884760141372681e-01 -8.0235344171524048e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9927177429199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2070 4.0500000000000000e+01 0 -1 2071
-            8.2850000000000000e+02 -2 -3 2072 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3605861663818359e-01 -8.6610472202301025e-01
-            2.4379670619964600e-01 -5.3128516674041748e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9570045471191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2073 1182. 0 -1 2074 3.2500000000000000e+01 -2 -3 2075
-            502.</internalNodes>
-          <leafValues>
-            -3.5713455080986023e-01 2.8106349706649780e-01
-            -8.3191645145416260e-01 9.3351656198501587e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9753128051757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2076 2.5000000000000000e+00 0 -1 2077
-            4.7500000000000000e+01 -2 -3 2078 1.2045000000000000e+03</internalNodes>
-          <leafValues>
-            1.8308171629905701e-01 -8.9866495132446289e-01
-            9.4026386737823486e-01 -8.5731178522109985e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9954711914062500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2079 9.5000000000000000e+00 0 -1 2080
-            1.0500000000000000e+01 -2 -3 2081 3.4615000000000000e+03</internalNodes>
-          <leafValues>
-            3.0233853030949831e-03 -9.8875284194946289e-01
-            2.0158641040325165e-01 -8.2852333784103394e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0429855346679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2082 4.8050000000000000e+02 0 -1 2083
-            5.2250000000000000e+02 -2 -3 2084 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6044726371765137e-01 -4.1115388274192810e-01
-            -6.2775129079818726e-01 4.9296686053276062e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0253639221191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2085 3.2850000000000000e+02 0 -1 2086
-            2.8500000000000000e+01 -2 -3 2087 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.4995265007019043e-01 -8.1818318367004395e-01
-            -4.3594300746917725e-01 2.5837844610214233e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0712348937988281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2088 5.5000000000000000e+00 0 -1 2089
-            1.4500000000000000e+01 -2 -3 2090 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5871067047119141e-01 -1.8673202395439148e-01
-            -8.0201834440231323e-01 2.7421653270721436e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0954566955566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2091 1.5000000000000000e+00 0 -1 2092
-            2.5000000000000000e+00 -2 -3 2093 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.1520602703094482e-01 -8.5710084438323975e-01
-            -5.3771287202835083e-01 2.4222078919410706e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0664779663085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2094 5.0000000000000000e-01 0 -1 2095 852. -2 -3 2096
-            5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4811320304870605e-01 7.3575115203857422e-01
-            -2.8979244828224182e-01 6.3096255064010620e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0927169799804688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2097 3407. 0 -1 2098 800. -2 -3 2099 100.</internalNodes>
-          <leafValues>
-            2.6239001750946045e-01 -6.4345407485961914e-01
-            -9.7739773988723755e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.1038581848144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2100 2.5000000000000000e+00 0 -1 2101
-            5.5000000000000000e+00 -2 -3 2102 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.0993680953979492e-01 -6.5139651298522949e-01
-            3.4365540742874146e-01 -3.2318025827407837e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0995506286621094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2103 1.9500000000000000e+01 0 -1 2104
-            6.3500000000000000e+01 -2 -3 2105 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3078806251287460e-02 -8.3054763078689575e-01
-            4.1605877876281738e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>8.1449020385742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2106 1.1525000000000000e+03 0 -1 2107
-            2.3500000000000000e+01 -2 -3 2108 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.8596618920564651e-02 -7.3833715915679932e-01
-            -8.4264433383941650e-01 4.7351169586181641e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1674888610839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2109 6.5000000000000000e+00 0 -1 2110
-            6.8500000000000000e+01 -2 -3 2111 56.</internalNodes>
-          <leafValues>
-            2.2587312757968903e-01 -7.7641236782073975e-01
-            -6.7178988456726074e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.1059928894042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2112 7.5000000000000000e+00 0 -1 2113
-            1.5850000000000000e+02 -2 -3 2114 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.8622096776962280e-01 7.0347315073013306e-01
-            5.0727140903472900e-01 -1.2201854586601257e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1407531738281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2115 1.2500000000000000e+01 0 -1 2116
-            5.5000000000000000e+00 -2 -3 2117 1.3750000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2096095085144043e-01 7.2421133518218994e-01
-            3.4760445356369019e-01 -5.3716862201690674e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1844848632812500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2118 5.5050000000000000e+02 0 -1 2119
-            3.3500000000000000e+01 -2 -3 2120 9.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1007186174392700e-01 6.1295044422149658e-01
-            4.3731164932250977e-01 -1.8890057504177094e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1697082519531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2121 3.7500000000000000e+01 0 -1 2122
-            5.0000000000000000e-01 -2 -3 2123 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.3392754197120667e-01 -8.6948662996292114e-01
-            -7.2286629676818848e-01 2.5838151574134827e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1909507751464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2124 4.0500000000000000e+01 0 -1 2125
-            7.5500000000000000e+01 -2 -3 2126 1.0805000000000000e+03</internalNodes>
-          <leafValues>
-            -1.9372178614139557e-01 4.5466288924217224e-01 1.
-            -9.0210074186325073e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1375953674316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2127 5.0000000000000000e-01 0 -1 2128
-            1.5000000000000000e+00 -2 -3 2129 2.1845000000000000e+03</internalNodes>
-          <leafValues>
-            -7.8440749645233154e-01 4.0864413976669312e-01
-            -5.3355014324188232e-01 3.9062729477882385e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1887313842773438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2130 1.2450000000000000e+02 0 -1 2131
-            4.1665000000000000e+03 -2 -3 2132 1.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2995404005050659e-01 6.4907240867614746e-01
-            5.1135843992233276e-01 -3.9525008201599121e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2117805480957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2133 5.5000000000000000e+00 0 -1 2134 534. -2 -3 2135
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            8.9746987819671631e-01 -9.2895346879959106e-01
-            2.3048999905586243e-01 -6.7827922105789185e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1636238098144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2136 1.0500000000000000e+01 0 -1 2137
-            6.7500000000000000e+01 -2 -3 2138 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9451547861099243e-01 -4.8156398534774780e-01
-            -3.7169450521469116e-01 5.3676486015319824e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1995071411132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2139 5.0465000000000000e+03 0 -1 2140
-            9.5500000000000000e+01 -2 -3 2141 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.1792615950107574e-01 3.5883331298828125e-01
-            8.3887630701065063e-01 -9.6526902914047241e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2212608337402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2142 1.5500000000000000e+01 0 -1 2143
-            5.5000000000000000e+00 -2 -3 2144 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.6026850938796997e-01 2.1753302216529846e-01
-            -7.7944552898406982e-01 2.8800919651985168e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2952514648437500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2145 1.0500000000000000e+01 0 -1 2146
-            1.7500000000000000e+01 -2 -3 2147 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.3990541696548462e-01 -3.4350591897964478e-01
-            -7.8702974319458008e-01 -3.6859430372714996e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.2764221191406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2148 3.8915000000000000e+03 0 -1 2149
-            9.5000000000000000e+00 -2 -3 2150 160.</internalNodes>
-          <leafValues>
-            -2.7847471833229065e-01 2.9747706651687622e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.3073318481445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2151 8.5000000000000000e+00 0 -1 2152
-            7.5000000000000000e+00 -2 -3 2153 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0019268393516541e-01 4.2716455459594727e-01
-            3.0783307552337646e-01 -7.1251338720321655e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3382904052734375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2154 146. 0 -1 2155 6.5000000000000000e+00 -2 -3 2156
-            253.</internalNodes>
-          <leafValues>
-            -3.7641048431396484e-01 3.0958160758018494e-01
-            -9.3819731473922729e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.3006187438964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2157 3.8500000000000000e+01 0 -1 2158
-            5.4500000000000000e+01 -2 -3 2159 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9478387832641602e-01 3.9714443683624268e-01
-            -1.6719745099544525e-01 6.8846195936203003e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3494125366210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2160 3.9345000000000000e+03 0 -1 2161 1. -2 -3 2162
-            8.0550000000000000e+02</internalNodes>
-          <leafValues>
-            1. -1. 7.6673603057861328e-01 -1.6208630055189133e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.3684944152832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2163 4.7150000000000000e+02 0 -1 2164 31. -2 -3 2165
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7217268943786621e-01 4.8103070259094238e-01
-            -7.8892275691032410e-02 5.8338689804077148e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3892440795898438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2166 308. 0 -1 2167 5.7650000000000000e+02 -2 -3 2168
-            4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0749828219413757e-01 -6.5656942129135132e-01
-            -9.0315932035446167e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.3916496276855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2169 3.0500000000000000e+01 0 -1 2170
-            2.8950000000000000e+02 -2 -3 2171 4773.</internalNodes>
-          <leafValues>
-            2.4049011990427971e-02 -5.8593571186065674e-01
-            -7.0577090978622437e-01 9.1756677627563477e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3863990783691406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2172 444. 0 -1 2173 136. -2 -3 2174
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.2386598587036133e-01 7.6625251770019531e-01
-            -4.1046851873397827e-01 3.1866103410720825e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4162803649902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2175 4.2450000000000000e+02 0 -1 2176
-            2.5000000000000000e+00 -2 -3 2177 5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9317064881324768e-01 2.9881379008293152e-01
-            -6.5457558631896973e-01 6.6832679510116577e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4366767883300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2178 1.7650000000000000e+02 0 -1 2179
-            2.9500000000000000e+01 -2 -3 2180 9.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0396536588668823e-01 -5.5911725759506226e-01 1.
-            -9.1281843185424805e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4119194030761719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2181 2.5000000000000000e+00 0 -1 2182
-            1.6500000000000000e+01 -2 -3 2183 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.0720415711402893e-01 -6.1874228715896606e-01
-            4.2462083697319031e-01 -3.2996997237205505e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4430221557617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2184 7.6850000000000000e+02 0 -1 2185
-            1.5000000000000000e+00 -2 -3 2186 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5913137197494507e-01 -4.6971523761749268e-01
-            -4.3263432383537292e-01 5.7092773914337158e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4639114379882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2187 2.8500000000000000e+01 0 -1 2188
-            1.5000000000000000e+00 -2 -3 2189 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7549871206283569e-01 2.0889294147491455e-01
-            -7.7527189254760742e-01 9.5611155033111572e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4146507263183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2190 2.9500000000000000e+01 0 -1 2191
-            1.3500000000000000e+01 -2 -3 2192 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9260720610618591e-01 1.9271886348724365e-01
-            6.6219002008438110e-01 -8.9827889204025269e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4403144836425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2193 1.9500000000000000e+01 0 -1 2194
-            6.8750000000000000e+02 -2 -3 2195 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4722160100936890e-01 2.5663515925407410e-01
-            -6.7314952611923218e-01 5.6016397476196289e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4512977600097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2196 1.7500000000000000e+01 0 -1 2197
-            8.5000000000000000e+00 -2 -3 2198 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1628947257995605e-02 -8.8596558570861816e-01
-            2.2394882142543793e-01 -8.4310758113861084e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4825332641601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2199 1.5000000000000000e+00 0 -1 2200
-            8.5000000000000000e+00 -2 -3 2201 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.5332622528076172e-01 3.3586847782135010e-01
-            -5.5753439664840698e-01 3.1235861778259277e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4921630859375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2202 3.0035000000000000e+03 0 -1 2203
-            2.5000000000000000e+00 -2 -3 2204 1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            -2.7263507246971130e-01 3.0273589491844177e-01 1.
-            -8.9314818382263184e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4953636169433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2205 1.3650000000000000e+02 0 -1 2206 21. -2 -3 2207
-            1.0450000000000000e+02</internalNodes>
-          <leafValues>
-            9.7071325778961182e-01 -8.3434158563613892e-01
-            -1.7443342506885529e-01 4.1703993082046509e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5531066894531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2208 4.0500000000000000e+01 0 -1 2209
-            2.8450000000000000e+02 -2 -3 2210 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.4008752107620239e-01 5.7742959260940552e-01
-            6.5463826060295105e-02 -6.4212870597839355e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5679679870605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2211 6.5000000000000000e+00 0 -1 2212
-            4.2500000000000000e+01 -2 -3 2213 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.2564774751663208e-01 7.0831966400146484e-01
-            -6.6582089662551880e-01 2.6227703690528870e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5235992431640625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2214 4.5500000000000000e+01 0 -1 2215
-            2.5000000000000000e+00 -2 -3 2216 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4622960686683655e-01 5.0379693508148193e-01
-            2.8327786922454834e-01 -6.1233770847320557e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5567344665527344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2217 5.0000000000000000e-01 0 -1 2218
-            6.0500000000000000e+01 -2 -3 2219 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.3135503530502319e-01 -7.7173143625259399e-01
-            5.3300887346267700e-01 -5.7684963941574097e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5617721557617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2220 1.1500000000000000e+01 0 -1 2221
-            6.7350000000000000e+02 -2 -3 2222 2.1885000000000000e+03</internalNodes>
-          <leafValues>
-            4.9268788099288940e-01 -3.9361280202865601e-01
-            5.4581469297409058e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>8.5892776489257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2223 1.0885000000000000e+03 0 -1 2224
-            1.0950000000000000e+02 -2 -3 2225 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            8.7355607748031616e-01 -8.9644581079483032e-01
-            -3.6866596341133118e-01 2.7505651116371155e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6008476257324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2226 2.5150000000000000e+02 0 -1 2227
-            1.0500000000000000e+01 -2 -3 2228 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.3005491495132446e-01 -8.4803074598312378e-01
-            -6.7341393232345581e-01 6.4791239798069000e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.5301307678222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2229 9.5000000000000000e+00 0 -1 2230
-            1.0500000000000000e+01 -2 -3 2231 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0716243982315063e-01 3.0324958264827728e-02
-            -3.6973038315773010e-01 5.3505402803421021e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5578842163085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2232 9.9950000000000000e+02 0 -1 2233
-            5.0000000000000000e-01 -2 -3 2234 57.</internalNodes>
-          <leafValues>
-            -5.4884088039398193e-01 2.7752920985221863e-01
-            -7.9685103893280029e-01 5.8429610729217529e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5900283813476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2235 1.4005000000000000e+03 0 -1 2236
-            1.1500000000000000e+01 -2 -3 2237 407.</internalNodes>
-          <leafValues>
-            -4.8077926039695740e-01 3.2144653797149658e-01
-            8.7326759099960327e-01 -7.6497209072113037e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6183494567871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2238 5.0000000000000000e-01 0 -1 2239
-            1.8500000000000000e+01 -2 -3 2240 2018.</internalNodes>
-          <leafValues>
-            5.9915566444396973e-01 -3.6263227462768555e-01
-            -4.3329817056655884e-01 7.2292387485504150e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6417350769042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2241 116. 0 -1 2242 7.9500000000000000e+01 -2 -3 2243
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3385088145732880e-01 -7.2572106122970581e-01
-            -8.2059645652770996e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.6353157043457031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2244 5.4750000000000000e+02 0 -1 2245
-            4.1650000000000000e+02 -2 -3 2246 7.4835000000000000e+03</internalNodes>
-          <leafValues>
-            -3.8013687729835510e-01 7.1552526950836182e-01
-            -6.0602325201034546e-01 1.3700281083583832e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6689994812011719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2247 2.5000000000000000e+00 0 -1 2248
-            4.9500000000000000e+01 -2 -3 2249 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8249641656875610e-01 6.3650465011596680e-01
-            -2.8715553879737854e-01 3.3683738112449646e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6457923889160156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2250 2.0500000000000000e+01 0 -1 2251
-            5.0000000000000000e-01 -2 -3 2252 1.5550000000000000e+02</internalNodes>
-          <leafValues>
-            7.5483375787734985e-01 -5.7755672931671143e-01
-            3.1271988153457642e-01 -9.3355900049209595e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6848548889160156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2253 5.0000000000000000e-01 0 -1 2254
-            8.5000000000000000e+00 -2 -3 2255 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8290500640869141e-01 3.9062538743019104e-01
-            3.0572377145290375e-02 -6.9165939092636108e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7283264160156250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2256 5.6500000000000000e+01 0 -1 2257
-            2.5850000000000000e+02 -2 -3 2258 5.6500000000000000e+01</internalNodes>
-          <leafValues>
-            7.9447448253631592e-01 -2.4108846485614777e-01
-            -9.5247858762741089e-01 7.4498760700225830e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7402679443359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2259 1.9050000000000000e+02 0 -1 2260
-            8.5000000000000000e+00 -2 -3 2261 1.6050000000000000e+02</internalNodes>
-          <leafValues>
-            7.9782551527023315e-01 -4.8126858472824097e-01
-            3.2817113399505615e-01 -9.2351150512695312e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7450622558593750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2262 2.5000000000000000e+00 0 -1 2263
-            1.0750000000000000e+02 -2 -3 2264 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.5446103811264038e-01 3.0746808648109436e-01
-            2.6287922263145447e-01 -5.2057027816772461e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7063316345214844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2265 1.6500000000000000e+01 0 -1 2266
-            6.4500000000000000e+01 -2 -3 2267 1.2895000000000000e+03</internalNodes>
-          <leafValues>
-            9.6434988081455231e-02 -8.1099587678909302e-01
-            3.5276085138320923e-01 -6.3035190105438232e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7586761474609375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2268 5.5000000000000000e+00 0 -1 2269
-            3.5000000000000000e+00 -2 -3 2270 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.5307574272155762e-01 -5.4498150944709778e-02
-            5.2659434080123901e-01 -2.1662306785583496e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7653213500976562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2271 2.5000000000000000e+00 0 -1 2272
-            1.5000000000000000e+00 -2 -3 2273 239.</internalNodes>
-          <leafValues>
-            4.1265711188316345e-01 -2.8464233875274658e-01
-            6.7191797494888306e-01 -6.5316730737686157e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7628303527832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2274 1.5000000000000000e+00 0 -1 2275
-            3.5000000000000000e+00 -2 -3 2276 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.2243005037307739e-01 8.7789368629455566e-01
-            7.9855352640151978e-01 -2.4909071624279022e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7940948486328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2277 8.5000000000000000e+00 0 -1 2278
-            4.4500000000000000e+01 -2 -3 2279 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.1174898147583008e-01 -6.3333249092102051e-01
-            -7.8106856346130371e-01 3.1264203786849976e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8444465637207031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2280 3.1500000000000000e+01 0 -1 2281
-            3.5000000000000000e+00 -2 -3 2282 5.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7983781099319458e-01 6.6502499580383301e-01
-            5.9884071350097656e-01 -3.4494200348854065e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8562141418457031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2283 8.8500000000000000e+01 0 -1 2284
-            3.0850000000000000e+02 -2 -3 2285 1.8685000000000000e+03</internalNodes>
-          <leafValues>
-            1.1767382174730301e-01 -7.1909028291702271e-01
-            -8.0886626243591309e-01 3.6782959103584290e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8689140319824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2286 2.5000000000000000e+00 0 -1 2287
-            1.5000000000000000e+00 -2 -3 2288 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8951946496963501e-01 3.7994578480720520e-01
-            -4.4435909390449524e-01 7.3357677459716797e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8993270874023438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2289 8.5450000000000000e+02 0 -1 2290
-            9.3500000000000000e+01 -2 -3 2291 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            3.0412796139717102e-01 -5.4215848445892334e-01
-            -7.8242719173431396e-01 5.9332287311553955e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8982391357421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2292 1.9350000000000000e+02 0 -1 2293
-            5.0500000000000000e+01 -2 -3 2294 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.0881225578486919e-02 -7.1214753389358521e-01
-            -5.7588249444961548e-01 7.9207491874694824e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8675567626953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2295 1.2500000000000000e+01 0 -1 2296
-            2.5000000000000000e+00 -2 -3 2297 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9892637729644775e-01 1. 3.4347891807556152e-01
-            -3.1791657209396362e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8704269409179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2298 1.1500000000000000e+01 0 -1 2299
-            4.7500000000000000e+01 -2 -3 2300 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4499019980430603e-01 5.0305950641632080e-01
-            -7.4506103992462158e-01 1.1293403059244156e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8582321166992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2301 5.0000000000000000e-01 0 -1 2302
-            1.2500000000000000e+01 -2 -3 2303 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.6801630258560181e-01 4.8782908916473389e-01
-            7.5426805019378662e-01 -4.7202652692794800e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8955085754394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2304 5.0000000000000000e-01 0 -1 2305
-            7.9500000000000000e+01 -2 -3 2306 1.0755000000000000e+03</internalNodes>
-          <leafValues>
-            3.7275862693786621e-01 -4.8154482245445251e-01
-            6.9586211442947388e-01 -5.6343889236450195e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8874618530273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2307 8.5500000000000000e+01 0 -1 2308
-            5.3650000000000000e+02 -2 -3 2309 694.</internalNodes>
-          <leafValues>
-            6.7843574285507202e-01 -4.6394348144531250e-01
-            6.8638551235198975e-01 -8.8641919195652008e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.9109901428222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2310 2.8500000000000000e+01 0 -1 2311
-            2.5000000000000000e+00 -2 -3 2312 6.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3614200353622437e-01 2.3528522253036499e-01
-            -9.5000904798507690e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.8907135009765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2313 1.1525000000000000e+03 0 -1 2314
-            7.6850000000000000e+02 -2 -3 2315 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0276506245136261e-01 4.0722262859344482e-01
-            -8.5420507192611694e-01 8.8535934686660767e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9519294738769531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2316 5.5000000000000000e+00 0 -1 2317
-            8.3650000000000000e+02 -2 -3 2318 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.1215674877166748e-01 -2.8454613685607910e-01
-            -6.7182534933090210e-01 1.3038201630115509e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9072807312011719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2319 5.0000000000000000e-01 0 -1 2320
-            1.2500000000000000e+01 -2 -3 2321 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0968821048736572e-01 6.4217364788055420e-01
-            -4.4648653268814087e-01 3.5627630352973938e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9592712402343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2322 2.5000000000000000e+00 0 -1 2323
-            2.6500000000000000e+01 -2 -3 2324 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7493380308151245e-01 8.2513862848281860e-01
-            -2.1184358000755310e-01 5.1990169286727905e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9800750732421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2325 2.6850000000000000e+02 0 -1 2326
-            1.4250000000000000e+02 -2 -3 2327 2.8950000000000000e+02</internalNodes>
-          <leafValues>
-            1. -9.8386675119400024e-01 2.0803783833980560e-01
-            -7.4743682146072388e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9978019714355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2328 9.6500000000000000e+01 0 -1 2329
-            5.0000000000000000e-01 -2 -3 2330 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9577171206474304e-01 -1.8832282721996307e-01 1.
-            -9.4037795066833496e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0186340332031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2331 9.5000000000000000e+00 0 -1 2332
-            3.9500000000000000e+01 -2 -3 2333 4.1150000000000000e+02</internalNodes>
-          <leafValues>
-            5.1927842199802399e-02 -5.1345849037170410e-01
-            -6.9976913928985596e-01 7.2176700830459595e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0408126831054688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2334 1.4500000000000000e+01 0 -1 2335
-            5.6950000000000000e+02 -2 -3 2336 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.3421056270599365e-01 -8.4200710058212280e-01
-            -7.9201179742813110e-01 2.2178900241851807e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0207931518554688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2337 7.5000000000000000e+00 0 -1 2338
-            3.0150000000000000e+02 -2 -3 2339 8.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6031082868576050e-01 -5.6561201810836792e-01
-            -6.8547034263610840e-01 6.9407206773757935e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0302421569824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2340 3.1555000000000000e+03 0 -1 2341
-            2.5500000000000000e+01 -2 -3 2342 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.6551218628883362e-01 6.1541539430618286e-01
-            -5.8543795347213745e-01 4.2197912931442261e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0720130920410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2343 2.2250000000000000e+02 0 -1 2344
-            2.6765000000000000e+03 -2 -3 2345 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 4.2247042059898376e-01 -5.9496659040451050e-01
-            7.3635950684547424e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0678649902343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2346 2.4985000000000000e+03 0 -1 2347
-            5.5050000000000000e+02 -2 -3 2348 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.6645794510841370e-01 5.7650017738342285e-01
-            -6.3965815305709839e-01 1.3717547059059143e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1026916503906250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2349 8.5000000000000000e+00 0 -1 2350
-            9.5000000000000000e+00 -2 -3 2351 399.</internalNodes>
-          <leafValues>
-            3.4826722741127014e-01 -2.6130944490432739e-01
-            -8.7031137943267822e-01 5.0992918014526367e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0745491027832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2352 2.0500000000000000e+01 0 -1 2353
-            2.8415000000000000e+03 -2 -3 2354 1.3195000000000000e+03</internalNodes>
-          <leafValues>
-            3.8361868262290955e-01 -6.5678369998931885e-01
-            -7.2137272357940674e-01 2.9168155789375305e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0282897949218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2355 5.0000000000000000e-01 0 -1 2356
-            1.8500000000000000e+01 -2 -3 2357 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5979007482528687e-01 4.2797699570655823e-01
-            -7.2097688913345337e-01 -2.2096272557973862e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0329040527343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2358 5.0000000000000000e-01 0 -1 2359
-            5.0000000000000000e-01 -2 -3 2360 1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.6151492595672607e-01 6.3388091325759888e-01
-            4.6142544597387314e-02 -7.7132421731948853e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0726905822753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2361 5.0000000000000000e-01 0 -1 2362
-            1.3605000000000000e+03 -2 -3 2363 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9816811084747314e-01 3.9786130189895630e-01
-            -4.7495251893997192e-01 4.1306164860725403e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0184005737304688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2364 1.1225000000000000e+03 0 -1 2365
-            1.6455000000000000e+03 -2 -3 2366 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.4290074110031128e-01 3.3631756901741028e-01
-            -6.0382646322250366e-01 2.5190624594688416e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1035018920898438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2367 1.2185000000000000e+03 0 -1 2368
-            1.4635000000000000e+03 -2 -3 2369 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1523426771163940e-01 8.5101437568664551e-01
-            -5.3849363327026367e-01 7.0430345833301544e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.1617080688476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2370 5.7450000000000000e+02 0 -1 2371
-            7.5000000000000000e+00 -2 -3 2372 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5275338888168335e-01 5.8206313848495483e-01
-            7.8669518232345581e-02 -6.4758539199829102e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1865600585937500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2373 1.5000000000000000e+00 0 -1 2374 31. -2 -3 2375
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.1970331668853760e-01 -6.8706613779067993e-01
-            -8.0606603622436523e-01 2.4852037429809570e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1933456420898438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2376 1.6500000000000000e+01 0 -1 2377
-            2.5350000000000000e+02 -2 -3 2378 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            6.7855246365070343e-02 -7.4723839759826660e-01
-            3.3876419067382812e-01 -6.6246157884597778e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2073440551757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2379 1.6150000000000000e+02 0 -1 2380
-            3.4905000000000000e+03 -2 -3 2381 29.</internalNodes>
-          <leafValues>
-            1.3998487591743469e-01 -9.7840291261672974e-01
-            -9.9056637287139893e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.2266113281250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2382 1.5000000000000000e+00 0 -1 2383
-            3.0500000000000000e+01 -2 -3 2384 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2297352105379105e-02 -7.5529569387435913e-01
-            3.4410062432289124e-01 -7.4833053350448608e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2566078186035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2385 2352. 0 -1 2386 7.5000000000000000e+00 -2 -3 2387
-            3.6150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9286593198776245e-01 2.6059108972549438e-01
-            7.3781818151473999e-01 -8.2013517618179321e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.2297134399414062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2388 5.5000000000000000e+00 0 -1 2389
-            1.2500000000000000e+01 -2 -3 2390 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0269703865051270e-01 4.9800133705139160e-01
-            3.9258196949958801e-01 -2.6894846558570862e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2234367370605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2391 8.8500000000000000e+01 0 -1 2392
-            5.1500000000000000e+01 -2 -3 2393 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2763020396232605e-02 6.3001161813735962e-01
-            -8.5735118389129639e-01 6.4268112182617188e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2365852355957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2394 1.0015000000000000e+03 0 -1 2395
-            7.6050000000000000e+02 -2 -3 2396 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.7476244568824768e-01 2.9709032177925110e-01
-            5.4132920503616333e-01 -8.3887267112731934e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2131614685058594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2397 1.5000000000000000e+00 0 -1 2398
-            8.3500000000000000e+01 -2 -3 2399 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.0538351535797119e-01 5.1848065853118896e-01
-            -8.3529579639434814e-01 3.1571540236473083e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2501167297363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2400 4.1500000000000000e+01 0 -1 2401
-            5.5000000000000000e+00 -2 -3 2402 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.4844219684600830e-01 3.7978658080101013e-01
-            -7.1654027700424194e-01 4.2168378829956055e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.2843521118164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2403 2.5000000000000000e+00 0 -1 2404
-            6.4500000000000000e+01 -2 -3 2405 5.4350000000000000e+02</internalNodes>
-          <leafValues>
-            3.3212310075759888e-01 -8.3203417062759399e-01
-            4.9931150674819946e-01 -6.3223975896835327e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2861694335937500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2406 8.0500000000000000e+01 0 -1 2407 108. -2 -3 2408
-            1.6755000000000000e+03</internalNodes>
-          <leafValues>
-            1.3975634239614010e-02 -7.8626310825347900e-01
-            5.7174843549728394e-01 -1.2674526870250702e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2968948364257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2409 9.1500000000000000e+01 0 -1 2410 1289. -2 -3 2411
-            3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2590126693248749e-01 -6.0328000783920288e-01
-            -4.6332037448883057e-01 6.0493034124374390e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2898025512695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2412 1.1450000000000000e+02 0 -1 2413
-            1.2050000000000000e+02 -2 -3 2414 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3465740680694580e-01 3.8865172863006592e-01
-            -8.5783010721206665e-01 6.1523634195327759e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3257911682128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2415 5.0000000000000000e-01 0 -1 2416 4262. -2 -3 2417
-            4.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -9.0746092796325684e-01 6.8183261156082153e-01
-            3.5988852381706238e-01 -2.8322571516036987e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3038124084472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2418 172. 0 -1 2419 5.5000000000000000e+00 -2 -3 2420
-            20.</internalNodes>
-          <leafValues>
-            -2.1979008615016937e-01 3.5657486319541931e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.3356796264648438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2421 1.3350000000000000e+02 0 -1 2422
-            1.4055000000000000e+03 -2 -3 2423 5.8950000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2216557264328003e-01 3.1866943836212158e-01
-            -5.3239977359771729e-01 5.1732164621353149e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3672409057617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2424 5.0000000000000000e-01 0 -1 2425
-            5.0000000000000000e-01 -2 -3 2426 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.1506562232971191e-01 3.1561306118965149e-01
-            5.0408166646957397e-01 -6.1532169580459595e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3130691528320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2427 3.5500000000000000e+01 0 -1 2428
-            3.4305000000000000e+03 -2 -3 2429 505.</internalNodes>
-          <leafValues>
-            -5.4171895980834961e-01 9.3477241694927216e-02
-            7.5641244649887085e-01 -8.8457739353179932e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3192596435546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2430 6.4150000000000000e+02 0 -1 2431 2249. -2 -3 2432
-            662.</internalNodes>
-          <leafValues>
-            6.1905395239591599e-02 -7.2703468799591064e-01
-            -9.1928023099899292e-01 9.8033905029296875e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3644752502441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2433 1.5500000000000000e+01 0 -1 2434
-            1.7500000000000000e+01 -2 -3 2435 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3795633316040039e-01 -4.9344247579574585e-01
-            4.5216166973114014e-01 -3.1545853614807129e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3540618896484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2436 5.0000000000000000e-01 0 -1 2437
-            1.3500000000000000e+01 -2 -3 2438 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.0413412004709244e-01 6.4089792966842651e-01
-            -3.8926449418067932e-01 8.7481313943862915e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3962448120117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2439 242. 0 -1 2440 1.1500000000000000e+01 -2 -3 2441
-            2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.6308744251728058e-01 4.2182672023773193e-01
-            -9.0694606304168701e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.4556045532226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2442 3.2500000000000000e+01 0 -1 2443
-            2.5000000000000000e+00 -2 -3 2444 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9347047805786133e-01 6.4435130357742310e-01
-            -5.9788930416107178e-01 7.7255569398403168e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.4721496582031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2445 1.5500000000000000e+01 0 -1 2446
-            9.5000000000000000e+00 -2 -3 2447 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3441089987754822e-01 1.6544458270072937e-01
-            -6.3126134872436523e-01 7.8642731904983521e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4984420776367188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2448 3.8645000000000000e+03 0 -1 2449
-            1.7925000000000000e+03 -2 -3 2450 60.</internalNodes>
-          <leafValues>
-            -4.4316318631172180e-01 3.3754405379295349e-01
-            -7.9294669628143311e-01 8.5425835847854614e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4582656860351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2451 2.5000000000000000e+00 0 -1 2452 165. -2 -3 2453
-            5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6933476328849792e-01 -6.8854063749313354e-01
-            -8.7762522697448730e-01 1.4154928922653198e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4399383544921875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2454 68. 0 -1 2455 7.6850000000000000e+02 -2 -3 2456
-            4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.8327303230762482e-01 4.6131238341331482e-01
-            -9.6990627050399780e-01 8.6611026525497437e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5118980407714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2457 1.2225000000000000e+03 0 -1 2458
-            8.0050000000000000e+02 -2 -3 2459 8.2850000000000000e+02</internalNodes>
-          <leafValues>
-            -5.3803724050521851e-01 7.1959483623504639e-01
-            -8.1214201450347900e-01 -5.1834270358085632e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.4748359680175781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2460 2.4500000000000000e+01 0 -1 2461
-            5.0500000000000000e+01 -2 -3 2462 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.3085886240005493e-01 -6.9121128320693970e-01
-            3.2903286814689636e-01 -3.7062501907348633e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4972839355468750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2463 5.5000000000000000e+00 0 -1 2464
-            2.8450000000000000e+02 -2 -3 2465 3.8915000000000000e+03</internalNodes>
-          <leafValues>
-            4.3351098895072937e-01 -7.3641782999038696e-01
-            2.2448168694972992e-01 -7.1434223651885986e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5275985717773438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2466 1.0500000000000000e+01 0 -1 2467
-            5.0000000000000000e-01 -2 -3 2468 4.7250000000000000e+02</internalNodes>
-          <leafValues>
-            9.6811644732952118e-02 -7.6387089490890503e-01
-            -3.6428251862525940e-01 3.0314624309539795e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4958412170410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2469 4.8050000000000000e+02 0 -1 2470 68. -2 -3 2471
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.1757611036300659e-01 8.6130934953689575e-01
-            4.5709180831909180e-01 -6.0632956027984619e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5323020935058594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2472 2.8050000000000000e+02 0 -1 2473
-            8.5000000000000000e+00 -2 -3 2474 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9738260507583618e-01 3.6461219191551208e-01
-            -4.8098289966583252e-01 4.0610322356224060e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5531364440917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2475 9.6500000000000000e+01 0 -1 2476
-            2.5000000000000000e+00 -2 -3 2477 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.9760245084762573e-01 2.0834487676620483e-01
-            -9.1544830799102783e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.5781745910644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2478 8.8500000000000000e+01 0 -1 2479
-            1.2500000000000000e+01 -2 -3 2480 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0220642089843750e-01 2.5037932395935059e-01
-            -7.7450615167617798e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.5803649902343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2481 5.0000000000000000e-01 0 -1 2482
-            4.3250000000000000e+02 -2 -3 2483 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0768721699714661e-01 -7.2477263212203979e-01
-            4.5463231205940247e-01 -4.9192586541175842e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5542800903320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2484 8.5000000000000000e+00 0 -1 2485
-            4.5000000000000000e+00 -2 -3 2486 2.7450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1822851896286011e-01 2.5916630029678345e-01
-            -5.6648039817810059e-01 3.5922342538833618e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5895820617675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2487 5.2500000000000000e+01 0 -1 2488
-            5.0000000000000000e-01 -2 -3 2489 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.5301324725151062e-01 -3.0667924880981445e-01
-            3.2827284932136536e-01 -8.0632358789443970e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.6157928466796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2490 2.5000000000000000e+00 0 -1 2491
-            2.5500000000000000e+01 -2 -3 2492 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8798337578773499e-01 -9.5308113098144531e-01
-            -5.1750040054321289e-01 2.6211360096931458e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.6371978759765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2493 4.0500000000000000e+01 0 -1 2494
-            2.5000000000000000e+00 -2 -3 2495 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9743094444274902e-01 2.1404948830604553e-01
-            -8.5050314664840698e-01 5.0623071193695068e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.6368263244628906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2496 4.3500000000000000e+01 0 -1 2497
-            5.0000000000000000e-01 -2 -3 2498 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1. -5.6743723154067993e-01 7.6639793813228607e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.6516090393066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2499 5.0000000000000000e-01 0 -1 2500
-            3.5000000000000000e+00 -2 -3 2501 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.6376502513885498e-01 6.0896998643875122e-01
-            1.4782741665840149e-01 -4.4592922925949097e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5890869140625000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2502 8.0500000000000000e+01 0 -1 2503
-            1.1025000000000000e+03 -2 -3 2504 5.4150000000000000e+02</internalNodes>
-          <leafValues>
-            1.4774493873119354e-01 -6.2522071599960327e-01
-            6.8708664178848267e-01 -1.1048506200313568e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.6234390258789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2505 1.4500000000000000e+01 0 -1 2506
-            2.5000000000000000e+00 -2 -3 2507 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.8957711756229401e-01 -6.4709383249282837e-01
-            -4.1520085930824280e-01 3.4351608157157898e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.6572166442871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2508 5.0000000000000000e-01 0 -1 2509
-            2.5735000000000000e+03 -2 -3 2510 1173.</internalNodes>
-          <leafValues>
-            3.3778050541877747e-01 -6.3639199733734131e-01
-            -5.0381755828857422e-01 6.3735854625701904e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.7091682434082031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2511 1.1450000000000000e+02 0 -1 2512
-            4.0250000000000000e+02 -2 -3 2513 1.3450000000000000e+02</internalNodes>
-          <leafValues>
-            6.2810701131820679e-01 -4.0756353735923767e-01 -1.
-            5.1951670646667480e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.7211601257324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2514 8.0500000000000000e+01 0 -1 2515
-            6.5000000000000000e+00 -2 -3 2516 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7606672048568726e-01 6.6768264770507812e-01
-            -3.8118714094161987e-01 3.6804616451263428e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.7420547485351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2517 1.5000000000000000e+00 0 -1 2518
-            1.6155000000000000e+03 -2 -3 2519 5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -1. 2.0894423127174377e-01 -6.3742393255233765e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.7607200622558594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2520 1.5000000000000000e+00 0 -1 2521
-            2.9050000000000000e+02 -2 -3 2522 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.8843830823898315e-01 1. 2.6681044697761536e-01
-            -3.6110731959342957e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.7423561096191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2523 4.5000000000000000e+00 0 -1 2524
-            9.5000000000000000e+00 -2 -3 2525 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.4543578624725342e-01 9.5868372917175293e-01
-            -7.5861543416976929e-01 2.6955580711364746e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.7825759887695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2526 1.1550000000000000e+02 0 -1 2527 3751. -2 -3 2528
-            280.</internalNodes>
-          <leafValues>
-            -8.3923083543777466e-01 6.2113016843795776e-01
-            -3.8828554749488831e-01 5.3129935264587402e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.8072143554687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2529 1.0750000000000000e+02 0 -1 2530
-            5.7750000000000000e+02 -2 -3 2531 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4638542532920837e-01 -6.5665483474731445e-01
-            -8.9632099866867065e-01 6.8391984701156616e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.8402824401855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2532 3.5000000000000000e+00 0 -1 2533
-            5.5000000000000000e+00 -2 -3 2534 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.1934508085250854e-01 1. 3.3068060874938965e-01
-            -2.1170829236507416e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.8699340820312500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2535 1.1450000000000000e+02 0 -1 2536
-            5.5000000000000000e+00 -2 -3 2537 36.</internalNodes>
-          <leafValues>
-            3.0874010920524597e-01 -2.8325837850570679e-01
-            -8.8745921850204468e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.8877410888671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2538 8.5000000000000000e+00 0 -1 2539
-            9.8500000000000000e+01 -2 -3 2540 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9435214996337891e-01 -9.1196221113204956e-01
-            2.4511045217514038e-01 -5.1517933607101440e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.8995216369628906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2541 2.5500000000000000e+01 0 -1 2542
-            1.5500000000000000e+01 -2 -3 2543 3.6050000000000000e+02</internalNodes>
-          <leafValues>
-            1.1780845373868942e-01 -5.3240364789962769e-01 -1.
-            7.7188563346862793e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9240852355957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2544 3.5000000000000000e+00 0 -1 2545
-            8.0500000000000000e+01 -2 -3 2546 5.6450000000000000e+02</internalNodes>
-          <leafValues>
-            -9.0737903118133545e-01 1. -5.8833694458007812e-01
-            2.4563524127006531e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.8749168395996094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2547 2.1500000000000000e+01 0 -1 2548
-            2.0500000000000000e+01 -2 -3 2549 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9037560820579529e-01 -6.0056501626968384e-01
-            2.7949792146682739e-01 -6.7935609817504883e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9123207092285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2550 1.5000000000000000e+00 0 -1 2551
-            8.6750000000000000e+02 -2 -3 2552 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.2623419761657715e-01 5.3740710020065308e-01
-            3.7403845787048340e-01 -2.7497768402099609e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.8746543884277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2553 3.1500000000000000e+01 0 -1 2554
-            5.3500000000000000e+01 -2 -3 2555 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1538569331169128e-01 -4.7679051756858826e-01
-            -6.1080145835876465e-01 4.9855870008468628e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9137901306152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2556 4.5000000000000000e+00 0 -1 2557
-            3.5000000000000000e+00 -2 -3 2558 1.3905000000000000e+03</internalNodes>
-          <leafValues>
-            -8.8297528028488159e-01 3.9136049151420593e-01
-            4.8427349328994751e-01 -1.3551473617553711e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9093750000000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2559 1.2500000000000000e+01 0 -1 2560 109. -2 -3 2561
-            1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.1636287868022919e-01 4.4644072651863098e-01
-            -4.5347277075052261e-02 -8.3115756511688232e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9295211791992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2562 2.7550000000000000e+02 0 -1 2563 21. -2 -3 2564
-            400.</internalNodes>
-          <leafValues>
-            8.4553992748260498e-01 -7.8862386941909790e-01
-            2.0146845281124115e-01 -9.3354743719100952e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9591613769531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2565 7.1500000000000000e+01 0 -1 2566
-            2.0500000000000000e+01 -2 -3 2567 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            2.6693066954612732e-01 -6.6290807723999023e-01
-            4.1993066668510437e-01 -4.1178131103515625e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9774261474609375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2568 2.7455000000000000e+03 0 -1 2569
-            2.5000000000000000e+00 -2 -3 2570 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0591225028038025e-01 2.1991367638111115e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.9528968811035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2571 1.1500000000000000e+01 0 -1 2572
-            6.5000000000000000e+00 -2 -3 2573 187.</internalNodes>
-          <leafValues>
-            -2.4529571831226349e-01 4.4422072172164917e-01
-            -7.1468102931976318e-01 6.1321121454238892e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9765602111816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2574 1.0015000000000000e+03 0 -1 2575
-            3.5000000000000000e+00 -2 -3 2576 103.</internalNodes>
-          <leafValues>
-            3.6130765080451965e-01 -3.1130629777908325e-01
-            -8.0834662914276123e-01 6.8982625007629395e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9243118286132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2577 5.7150000000000000e+02 0 -1 2578 36. -2 -3 2579
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.2247774600982666e-01 1. -1.2719422578811646e-01
-            4.9271491169929504e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9417327880859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2580 5.0000000000000000e-01 0 -1 2581
-            2.5000000000000000e+00 -2 -3 2582 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.6974679231643677e-01 6.0422992706298828e-01
-            -6.1786216497421265e-01 4.9528244882822037e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.9721191406250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2583 2.5000000000000000e+00 0 -1 2584
-            2.4500000000000000e+01 -2 -3 2585 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2716758251190186e-01 7.0882409811019897e-01
-            3.0386608839035034e-01 -8.0423253774642944e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9943511962890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2586 1.8500000000000000e+01 0 -1 2587
-            3.9500000000000000e+01 -2 -3 2588 1.3750000000000000e+02</internalNodes>
-          <leafValues>
-            3.2850837707519531e-01 -8.2033318281173706e-01
-            2.2231689095497131e-01 -6.0138916969299316e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9831451416015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2589 1.3500000000000000e+01 0 -1 2590
-            4.5500000000000000e+01 -2 -3 2591 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2661905288696289e-01 5.1914167404174805e-01
-            3.8148659467697144e-01 -8.5451364517211914e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9631042480468750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2592 1.5000000000000000e+00 0 -1 2593
-            1.0500000000000000e+01 -2 -3 2594 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.8435149192810059e-01 1. 4.5112967491149902e-01
-            -2.0040939748287201e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9837104797363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2595 2.5000000000000000e+00 0 -1 2596
-            2.8050000000000000e+02 -2 -3 2597 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1158181130886078e-01 -8.0644214153289795e-01
-            2.0606023073196411e-01 -9.3066710233688354e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0016289520263672e+02</treeThreshold>
-          <internalNodes>
-            1 2 2598 5.0000000000000000e-01 0 -1 2599
-            5.5850000000000000e+02 -2 -3 2600 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.6102581024169922e-01 3.2579025626182556e-01
-            -6.1346149444580078e-01 3.3240249752998352e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0033647155761719e+02</treeThreshold>
-          <internalNodes>
-            1 2 2601 3.5000000000000000e+00 0 -1 2602 8. -2 -3 2603
-            5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9454857110977173e-01 9.5821666717529297e-01
-            1.7357560992240906e-01 -8.3915024995803833e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0047587585449219e+02</treeThreshold>
-          <internalNodes>
-            0 1 2604 2.5000000000000000e+00 0 1 2604 2.5000000000000000e+00 -1 -2 2605
-            8.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -1. -1. -5.9203457832336426e-01 1.3940984010696411e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0109948730468750e+02</treeThreshold>
-          <internalNodes>
-            1 2 2606 2.0795000000000000e+03 0 -1 2607
-            1.8550000000000000e+02 -2 -3 2608 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.2360501289367676e-01 -1.7042215168476105e-01
-            -7.0164740085601807e-01 9.1911442577838898e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0105032348632812e+02</treeThreshold>
-          <internalNodes>
-            1 2 2609 4.6500000000000000e+01 0 -1 2610
-            3.9500000000000000e+01 -2 -3 2611 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.8169857263565063e-01 -5.7907623052597046e-01
-            4.6473887562751770e-01 -3.2131230831146240e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0105367279052734e+02</treeThreshold>
-          <internalNodes>
-            1 2 2612 6.7350000000000000e+02 0 -1 2613
-            5.0000000000000000e-01 -2 -3 2614 3740.</internalNodes>
-          <leafValues>
-            2.7208894491195679e-01 -4.3277686834335327e-01
-            6.5942746400833130e-01 -5.1724559068679810e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0141363525390625e+02</treeThreshold>
-          <internalNodes>
-            1 2 2615 5.0000000000000000e-01 0 -1 2616
-            1.5500000000000000e+01 -2 -3 2617 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.2222098112106323e-01 7.9113721847534180e-01
-            6.9188493490219116e-01 -4.8952169716358185e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0130570983886719e+02</treeThreshold>
-          <internalNodes>
-            1 2 2618 2.0500000000000000e+01 0 -1 2619
-            8.5000000000000000e+00 -2 -3 2620 2.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -1.0792832076549530e-01 5.1927500963211060e-01
-            -7.9460966587066650e-01 8.2356446981430054e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0164145660400391e+02</treeThreshold>
-          <internalNodes>
-            1 2 2621 2.1500000000000000e+01 0 -1 2622
-            1.5000000000000000e+00 -2 -3 2623 6.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3574688434600830e-01 -4.5670211315155029e-01
-            -6.3089555501937866e-01 4.8581323027610779e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0131285095214844e+02</treeThreshold>
-          <internalNodes>
-            1 2 2624 9.5000000000000000e+00 0 -1 2625
-            7.3500000000000000e+01 -2 -3 2626 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.0599847435951233e-01 -6.1251938343048096e-01
-            -2.9742473363876343e-01 4.9433988332748413e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0162899780273438e+02</treeThreshold>
-          <internalNodes>
-            1 2 2627 5.5000000000000000e+00 0 -1 2628
-            2.5000000000000000e+00 -2 -3 2629 8.8850000000000000e+02</internalNodes>
-          <leafValues>
-            -3.9324402809143066e-01 3.1614956259727478e-01
-            -6.8262726068496704e-01 7.5144731998443604e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0186949920654297e+02</treeThreshold>
-          <internalNodes>
-            1 2 2630 1.4805000000000000e+03 0 -1 2631
-            1.0500000000000000e+01 -2 -3 2632 15.</internalNodes>
-          <leafValues>
-            2.4050149321556091e-01 -3.6888840794563293e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.0191372680664062e+02</treeThreshold>
-          <internalNodes>
-            1 2 2633 2.2500000000000000e+01 0 -1 2634
-            4.5000000000000000e+00 -2 -3 2635 4.1950000000000000e+02</internalNodes>
-          <leafValues>
-            2.9375064373016357e-01 -3.5744154453277588e-01
-            -3.5613030195236206e-01 8.1968200206756592e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0208142852783203e+02</treeThreshold>
-          <internalNodes>
-            1 2 2636 3.5000000000000000e+00 0 -1 2637 21. -2 -3 2638
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.8189947605133057e-01 9.3166828155517578e-01
-            4.8177376389503479e-01 -1.2354224920272827e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0226190948486328e+02</treeThreshold>
-          <internalNodes>
-            1 2 2639 9.5000000000000000e+00 0 -1 2640
-            5.5000000000000000e+00 -2 -3 2641 1.7285000000000000e+03</internalNodes>
-          <leafValues>
-            -9.7239077091217041e-01 8.0751657485961914e-02
-            1.8048079311847687e-01 -7.8952634334564209e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0249628448486328e+02</treeThreshold>
-          <internalNodes>
-            1 2 2642 5.0000000000000000e-01 0 -1 2643
-            1.5000000000000000e+00 -2 -3 2644 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4624457359313965e-01 -4.0281239151954651e-01
-            -5.5928331613540649e-01 7.1457552909851074e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0274293518066406e+02</treeThreshold>
-          <internalNodes>
-            1 2 2645 3.8500000000000000e+01 0 -1 2646
-            1.7500000000000000e+01 -2 -3 2647 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            1.3477689027786255e-01 -6.1821442842483521e-01
-            5.9605765342712402e-01 -1.6502375900745392e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0253598785400391e+02</treeThreshold>
-          <internalNodes>
-            1 2 2648 1.3500000000000000e+01 0 -1 2649
-            5.2550000000000000e+02 -2 -3 2650 2.2735000000000000e+03</internalNodes>
-          <leafValues>
-            -7.9840284585952759e-01 2.3721742630004883e-01
-            -5.5634832382202148e-01 3.1294867396354675e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0290502929687500e+02</treeThreshold>
-          <internalNodes>
-            1 2 2651 5.4750000000000000e+02 0 -1 2652
-            8.3050000000000000e+02 -2 -3 2653 1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -1.4335750043392181e-01 7.7484899759292603e-01
-            -6.7993903160095215e-01 1.6464550048112869e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0276994323730469e+02</treeThreshold>
-          <internalNodes>
-            1 2 2654 1.3650000000000000e+02 0 -1 2655
-            1.5000000000000000e+00 -2 -3 2656 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3065854907035828e-01 -2.5181022286415100e-01
-            -7.0685976743698120e-01 5.8210808038711548e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0282818603515625e+02</treeThreshold>
-          <internalNodes>
-            1 2 2657 3.6500000000000000e+01 0 -1 2658
-            3.5000000000000000e+00 -2 -3 2659 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7250131368637085e-01 3.3097213506698608e-01
-            4.2310500144958496e-01 -1.7739102244377136e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0300099945068359e+02</treeThreshold>
-          <internalNodes>
-            1 2 2660 1.9050000000000000e+02 0 -1 2661
-            1.6500000000000000e+01 -2 -3 2662 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1183965206146240e-01 7.1433728933334351e-01
-            -9.4837844371795654e-02 5.6334847211837769e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0327600860595703e+02</treeThreshold>
-          <internalNodes>
-            1 2 2663 1.1345000000000000e+03 0 -1 2664
-            7.5000000000000000e+00 -2 -3 2665 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7449356317520142e-01 2.7501192688941956e-01
-            -6.7455238103866577e-01 5.9240275621414185e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0331129455566406e+02</treeThreshold>
-          <internalNodes>
-            1 2 2666 2.2500000000000000e+01 0 -1 2667
-            7.8350000000000000e+02 -2 -3 2668 87.</internalNodes>
-          <leafValues>
-            2.1151831746101379e-01 -9.4473469257354736e-01
-            6.7612463235855103e-01 -8.3754408359527588e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0303090667724609e+02</treeThreshold>
-          <internalNodes>
-            1 2 2669 1.3500000000000000e+01 0 -1 2670
-            4.7500000000000000e+01 -2 -3 2671 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5662239193916321e-01 6.4888173341751099e-01
-            5.7376283407211304e-01 -2.1476963162422180e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0311815643310547e+02</treeThreshold>
-          <internalNodes>
-            1 2 2672 1.5000000000000000e+00 0 -1 2673
-            3.5000000000000000e+00 -2 -3 2674 5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0579831302165985e-01 4.5064237713813782e-01
-            -5.4586839675903320e-01 8.1367361545562744e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0337432098388672e+02</treeThreshold>
-          <internalNodes>
-            1 2 2675 3.7850000000000000e+02 0 -1 2676 59. -2 -3 2677
-            2945.</internalNodes>
-          <leafValues>
-            -6.2283027172088623e-01 7.8782963752746582e-01
-            2.5616112351417542e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>1.0362288665771484e+02</treeThreshold>
-          <internalNodes>
-            1 2 2678 1.1500000000000000e+01 0 -1 2679
-            1.7150000000000000e+02 -2 -3 2680 7.5500000000000000e+01</internalNodes>
-          <leafValues>
-            6.3007098436355591e-01 -4.1216814517974854e-01
-            4.8822152614593506e-01 -3.9382278919219971e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0388551330566406e+02</treeThreshold>
-          <internalNodes>
-            1 2 2681 1.5000000000000000e+00 0 -1 2682
-            1.6385000000000000e+03 -2 -3 2683 110.</internalNodes>
-          <leafValues>
-            3.0745586752891541e-01 -7.9586678743362427e-01
-            2.6261982321739197e-01 -7.6895767450332642e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0405072021484375e+02</treeThreshold>
-          <internalNodes>
-            1 2 2684 1.5000000000000000e+00 0 -1 2685
-            5.6850000000000000e+02 -2 -3 2686 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.3116897344589233e-01 -9.6380370855331421e-01
-            -7.6854610443115234e-01 1.6521225869655609e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0400543975830078e+02</treeThreshold>
-          <internalNodes>
-            1 2 2687 6.2950000000000000e+02 0 -1 2688
-            5.1450000000000000e+02 -2 -3 2689 236.</internalNodes>
-          <leafValues>
-            -4.5279026031494141e-02 8.4354996681213379e-01
-            -6.6148412227630615e-01 6.9928210973739624e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0376971435546875e+02</treeThreshold>
-          <internalNodes>
-            1 2 2690 9.4500000000000000e+01 0 -1 2691
-            1.5050000000000000e+02 -2 -3 2692 1.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -2.3573163151741028e-01 4.4335815310478210e-01
-            6.1139583587646484e-01 -6.4605855941772461e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0405144500732422e+02</treeThreshold>
-          <internalNodes>
-            1 2 2693 4.4500000000000000e+01 0 -1 2694
-            5.6250000000000000e+02 -2 -3 2695 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.8796469569206238e-02 -6.5249174833297729e-01
-            -6.0536789894104004e-01 5.4190611839294434e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0398574066162109e+02</treeThreshold>
-          <internalNodes>
-            1 2 2696 4.4500000000000000e+01 0 -1 2697
-            5.0000000000000000e-01 -2 -3 2698 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2008396983146667e-01 -1.4273323118686676e-01
-            -7.3499578237533569e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.0385164642333984e+02</treeThreshold>
-          <internalNodes>
-            1 2 2699 3.8500000000000000e+01 0 -1 2700
-            7.5000000000000000e+00 -2 -3 2701 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1169781088829041e-01 -7.7311396598815918e-01
-            -1.3409157097339630e-01 4.9537870287895203e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0448446655273438e+02</treeThreshold>
-          <internalNodes>
-            1 2 2702 2.6050000000000000e+02 0 -1 2703
-            1.8350000000000000e+02 -2 -3 2704 7.6350000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 9.7587960958480835e-01 -5.2969473600387573e-01
-            1.2663070857524872e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0484059906005859e+02</treeThreshold>
-          <internalNodes>
-            1 2 2705 1.1500000000000000e+01 0 -1 2706
-            4.1850000000000000e+02 -2 -3 2707 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            7.9048752784729004e-02 -8.0509215593338013e-01
-            3.5613477230072021e-01 -5.6644356250762939e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0512301635742188e+02</treeThreshold>
-          <internalNodes>
-            1 2 2708 1485. 0 -1 2709 5.5000000000000000e+00 -2 -3 2710
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.0782458782196045e-01 2.8242054581642151e-01
-            3.9573973417282104e-01 -9.0347629785537720e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0531546020507812e+02</treeThreshold>
-          <internalNodes>
-            1 2 2711 1353. 0 -1 2712 1.7500000000000000e+01 -2 -3 2713
-            1.0750000000000000e+02</internalNodes>
-          <leafValues>
-            2.7195869013667107e-02 -7.5462043285369873e-01
-            3.2506725192070007e-01 -8.6369091272354126e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0547406768798828e+02</treeThreshold>
-          <internalNodes>
-            1 2 2714 2.5000000000000000e+00 0 -1 2715 16. -2 -3 2716
-            4.2955000000000000e+03</internalNodes>
-          <leafValues>
-            -1. 7.2179090976715088e-01 1.5860775113105774e-01
-            -6.5142124891281128e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0487975311279297e+02</treeThreshold>
-          <internalNodes>
-            1 2 2717 1.5500000000000000e+01 0 -1 2718 10700. -2 -3 2719
-            1.7875000000000000e+03</internalNodes>
-          <leafValues>
-            2.6182049885392189e-02 -8.4672302007675171e-01
-            -7.7213704586029053e-01 3.4896582365036011e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0509091186523438e+02</treeThreshold>
-          <internalNodes>
-            1 2 2720 1.5000000000000000e+00 0 -1 2721
-            1.5000000000000000e+00 -2 -3 2722 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2644587755203247e-01 2.1116006374359131e-01
-            -7.3146438598632812e-01 9.5215821266174316e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0519564056396484e+02</treeThreshold>
-          <internalNodes>
-            1 2 2723 3.0500000000000000e+01 0 -1 2724
-            3.4935000000000000e+03 -2 -3 2725 5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 6.9735002517700195e-01 -5.7586830854415894e-01
-            1.0472767800092697e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0569725799560547e+02</treeThreshold>
-          <internalNodes>
-            1 2 2726 2.4450000000000000e+02 0 -1 2727 644. -2 -3 2728
-            2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5404765605926514e-01 5.0162208080291748e-01
-            -5.6405150890350342e-01 3.5492885112762451e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0524179077148438e+02</treeThreshold>
-          <internalNodes>
-            1 2 2729 4.7500000000000000e+01 0 -1 2730
-            2.7650000000000000e+02 -2 -3 2731 2818.</internalNodes>
-          <leafValues>
-            -4.5547124743461609e-01 3.0731198191642761e-01
-            -7.2488194704055786e-01 7.7106243371963501e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0491101074218750e+02</treeThreshold>
-          <internalNodes>
-            1 2 2732 3.5000000000000000e+00 0 -1 2733 1511. -2 -3 2734
-            1.7155000000000000e+03</internalNodes>
-          <leafValues>
-            4.6164187788963318e-01 -6.6047859191894531e-01
-            -3.3077949285507202e-01 3.7580975890159607e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0527840423583984e+02</treeThreshold>
-          <internalNodes>
-            1 2 2735 5.0000000000000000e-01 0 -1 2736
-            1.5000000000000000e+00 -2 -3 2737 9.7750000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6398648023605347e-01 3.6739850044250488e-01
-            1.4843972027301788e-01 -7.5591593980789185e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0569275665283203e+02</treeThreshold>
-          <internalNodes>
-            1 2 2738 1.3500000000000000e+01 0 -1 2739
-            1.5000000000000000e+00 -2 -3 2740 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.4956609606742859e-01 -5.2449923753738403e-01
-            -9.4341361522674561e-01 4.1434991359710693e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0587648010253906e+02</treeThreshold>
-          <internalNodes>
-            1 2 2741 2.1515000000000000e+03 0 -1 2742
-            2.6500000000000000e+01 -2 -3 2743 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8371918797492981e-01 -9.8738479614257812e-01
-            -9.1896229982376099e-01 4.3715295195579529e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0598551177978516e+02</treeThreshold>
-          <internalNodes>
-            1 2 2744 1.6500000000000000e+01 0 -1 2745
-            4.5000000000000000e+00 -2 -3 2746 1.5175000000000000e+03</internalNodes>
-          <leafValues>
-            1.0903272777795792e-01 -7.6156085729598999e-01
-            3.4190380573272705e-01 -5.6521832942962646e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0585959625244141e+02</treeThreshold>
-          <internalNodes>
-            1 2 2747 3.5000000000000000e+00 0 -1 2748
-            1.8650000000000000e+02 -2 -3 2749 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6969417333602905e-01 8.7447375059127808e-01
-            -1.2591452896595001e-01 4.7273957729339600e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0568214416503906e+02</treeThreshold>
-          <internalNodes>
-            1 2 2750 245. 0 -1 2751 5.5000000000000000e+00 -2 -3 2752
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2921187877655029e-01 -4.8938277363777161e-01
-            3.0937749147415161e-01 -5.0696980953216553e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0601576232910156e+02</treeThreshold>
-          <internalNodes>
-            1 2 2753 1.7500000000000000e+01 0 -1 2754
-            1.1395000000000000e+03 -2 -3 2755 1.0950000000000000e+02</internalNodes>
-          <leafValues>
-            2.8152284026145935e-01 -7.8550308942794800e-01
-            3.3361354470252991e-01 -5.6299263238906860e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0640065765380859e+02</treeThreshold>
-          <internalNodes>
-            1 2 2756 5.0000000000000000e-01 0 -1 2757
-            1.5000000000000000e+00 -2 -3 2758 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.8055318593978882e-01 3.8489964604377747e-01
-            -5.7636463642120361e-01 4.3075269460678101e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0641130828857422e+02</treeThreshold>
-          <internalNodes>
-            1 2 2759 5.7050000000000000e+02 0 -1 2760
-            1.4500000000000000e+01 -2 -3 2761 1.1835000000000000e+03</internalNodes>
-          <leafValues>
-            -6.4392197132110596e-01 3.5690125823020935e-01
-            2.9891923069953918e-01 -9.5714271068572998e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0660404968261719e+02</treeThreshold>
-          <internalNodes>
-            1 2 2762 1.5000000000000000e+00 0 -1 2763
-            5.9150000000000000e+02 -2 -3 2764 1.1535000000000000e+03</internalNodes>
-          <leafValues>
-            -8.0829763412475586e-01 8.4891957044601440e-01
-            1.9274589419364929e-01 -7.3956298828125000e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0652481079101562e+02</treeThreshold>
-          <internalNodes>
-            1 2 2765 5.3500000000000000e+01 0 -1 2766
-            3.0950000000000000e+02 -2 -3 2767 8.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0712941884994507e-01 -3.6751377582550049e-01
-            7.9296332597732544e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>1.0692726898193359e+02</treeThreshold>
-          <internalNodes>
-            1 2 2768 6.6500000000000000e+01 0 -1 2769 1074. -2 -3 2770
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1640611104667187e-02 -8.8242655992507935e-01
-            4.0245753526687622e-01 -6.6962105035781860e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0722780609130859e+02</treeThreshold>
-          <internalNodes>
-            1 2 2771 400. 0 -1 2772 258. -2 -3 2773 242.</internalNodes>
-          <leafValues>
-            9.5710533857345581e-01 -6.8693101406097412e-01
-            5.1057505607604980e-01 -1.5650358796119690e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0750185394287109e+02</treeThreshold>
-          <internalNodes>
-            1 2 2774 3.5000000000000000e+00 0 -1 2775
-            2.0500000000000000e+01 -2 -3 2776 51.</internalNodes>
-          <leafValues>
-            -6.6889345645904541e-01 9.8602853715419769e-02
-            5.0510036945343018e-01 -7.3887240886688232e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0781588745117188e+02</treeThreshold>
-          <internalNodes>
-            1 2 2777 4.5000000000000000e+00 0 -1 2778
-            1.1525000000000000e+03 -2 -3 2779 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5173243284225464e-01 5.9037590026855469e-01
-            8.2559481263160706e-02 -5.7935595512390137e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0813179016113281e+02</treeThreshold>
-          <internalNodes>
-            1 2 2780 1.3500000000000000e+01 0 -1 2781
-            7.6750000000000000e+02 -2 -3 2782 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5958725214004517e-01 7.9117491841316223e-02
-            -8.4548884630203247e-01 3.1590864062309265e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0812385559082031e+02</treeThreshold>
-          <internalNodes>
-            1 2 2783 2.5500000000000000e+01 0 -1 2784
-            4.5000000000000000e+00 -2 -3 2785 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3340083360671997e-01 2.1516241133213043e-01
-            -8.2421797513961792e-01 5.7744872570037842e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0778499603271484e+02</treeThreshold>
-          <internalNodes>
-            1 2 2786 4.5000000000000000e+00 0 -1 2787
-            1.8050000000000000e+02 -2 -3 2788 5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2442337274551392e-01 -6.3051867485046387e-01
-            -5.6196290254592896e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.0795186614990234e+02</treeThreshold>
-          <internalNodes>
-            1 2 2789 9.5000000000000000e+00 0 -1 2790
-            2.9500000000000000e+01 -2 -3 2791 2.4845000000000000e+03</internalNodes>
-          <leafValues>
-            -9.0732103586196899e-01 1. -4.3962568044662476e-01
-            2.4967047572135925e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0834626007080078e+02</treeThreshold>
-          <internalNodes>
-            1 2 2792 7642. 0 -1 2793 2.9500000000000000e+01 -2 -3 2794
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5714893937110901e-01 -1. -7.8440755605697632e-01
-            -2.9551941901445389e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0802055358886719e+02</treeThreshold>
-          <internalNodes>
-            1 2 2795 1.3445000000000000e+03 0 -1 2796
-            5.0000000000000000e-01 -2 -3 2797 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8776105344295502e-01 -5.1964151859283447e-01
-            -3.2570576667785645e-01 5.8407723903656006e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0869297790527344e+02</treeThreshold>
-          <internalNodes>
-            1 2 2798 3.5000000000000000e+00 0 -1 2799
-            2.6650000000000000e+02 -2 -3 2800 6.8550000000000000e+02</internalNodes>
-          <leafValues>
-            7.9688948392868042e-01 -5.5319869518280029e-01
-            6.7242574691772461e-01 -5.3342822939157486e-03</leafValues></_>
-        <_>
-          <treeThreshold>1.0871336364746094e+02</treeThreshold>
-          <internalNodes>
-            1 2 2801 1.3550000000000000e+02 0 -1 2802
-            7.8850000000000000e+02 -2 -3 2803 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0466487407684326e-01 8.8463294506072998e-01
-            4.2380827665328979e-01 -8.9209264516830444e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0827619934082031e+02</treeThreshold>
-          <internalNodes>
-            1 2 2804 6.5500000000000000e+01 0 -1 2805
-            1.7500000000000000e+01 -2 -3 2806 2.8950000000000000e+02</internalNodes>
-          <leafValues>
-            1.1377986520528793e-01 -6.0579437017440796e-01
-            5.5230200290679932e-01 -5.3584653139114380e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0870999145507812e+02</treeThreshold>
-          <internalNodes>
-            1 2 2807 1.5500000000000000e+01 0 -1 2808
-            3.7850000000000000e+02 -2 -3 2809 2.7750000000000000e+02</internalNodes>
-          <leafValues>
-            3.2576033473014832e-01 -8.8590908050537109e-01
-            4.3379050493240356e-01 -1.6937582194805145e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0839844512939453e+02</treeThreshold>
-          <internalNodes>
-            1 2 2810 2.8500000000000000e+01 0 -1 2811
-            3.8500000000000000e+01 -2 -3 2812 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1154349446296692e-01 6.3721460103988647e-01
-            -7.1922361850738525e-01 6.2959849834442139e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0877592468261719e+02</treeThreshold>
-          <internalNodes>
-            1 2 2813 1.2500000000000000e+01 0 -1 2814
-            1.3695000000000000e+03 -2 -3 2815 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5014491081237793e-01 3.7747702002525330e-01
-            -6.9611859321594238e-01 1.2586995959281921e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0896472930908203e+02</treeThreshold>
-          <internalNodes>
-            1 2 2816 3.1050000000000000e+02 0 -1 2817
-            2.8850000000000000e+02 -2 -3 2818 146.</internalNodes>
-          <leafValues>
-            1.8880467116832733e-01 -6.9542157649993896e-01
-            -9.3111920356750488e-01 5.6534785032272339e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0875339508056641e+02</treeThreshold>
-          <internalNodes>
-            1 2 2819 2.1500000000000000e+01 0 -1 2820
-            2.5000000000000000e+00 -2 -3 2821 1.1850000000000000e+02</internalNodes>
-          <leafValues>
-            7.7443844079971313e-01 -8.0098474025726318e-01
-            3.5482531785964966e-01 -2.7317541837692261e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0921239471435547e+02</treeThreshold>
-          <internalNodes>
-            1 2 2822 4.5000000000000000e+00 0 -1 2823
-            8.5000000000000000e+00 -2 -3 2824 8.3500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5899707078933716e-01 -6.2516170740127563e-01
-            -4.3385741114616394e-01 5.6751209497451782e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0947447967529297e+02</treeThreshold>
-          <internalNodes>
-            1 2 2825 7.5000000000000000e+00 0 -1 2826
-            5.5000000000000000e+00 -2 -3 2827 7.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4130195379257202e-01 7.1468836069107056e-01
-            -9.7212868928909302e-01 2.6208582520484924e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0889431762695312e+02</treeThreshold>
-          <internalNodes>
-            1 2 2828 9.5000000000000000e+00 0 -1 2829
-            8.8350000000000000e+02 -2 -3 2830 1.4285000000000000e+03</internalNodes>
-          <leafValues>
-            -5.8016383647918701e-01 4.6283417940139771e-01
-            4.0902158617973328e-01 -3.3674991130828857e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0909661865234375e+02</treeThreshold>
-          <internalNodes>
-            1 2 2831 2.3500000000000000e+01 0 -1 2832
-            6.5000000000000000e+00 -2 -3 2833 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 1. 2.0230437815189362e-01 -6.2151867151260376e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0936666107177734e+02</treeThreshold>
-          <internalNodes>
-            1 2 2834 2.7500000000000000e+01 0 -1 2835
-            2.8500000000000000e+01 -2 -3 2836 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.1645810604095459e-01 2.7004209160804749e-01
-            7.3447245359420776e-01 -9.4543099403381348e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0990542602539062e+02</treeThreshold>
-          <internalNodes>
-            1 2 2837 6.5000000000000000e+00 0 -1 2838
-            3.3500000000000000e+01 -2 -3 2839 1.7175000000000000e+03</internalNodes>
-          <leafValues>
-            7.3429244756698608e-01 -5.4267537593841553e-01
-            -5.2236169576644897e-02 -8.0465143918991089e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0978697204589844e+02</treeThreshold>
-          <internalNodes>
-            1 2 2840 2.6850000000000000e+02 0 -1 2841 22. -2 -3 2842
-            8.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -9.7474074363708496e-01 -1.1845187842845917e-01
-            5.4515546560287476e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1009104156494141e+02</treeThreshold>
-          <internalNodes>
-            1 2 2843 2.5000000000000000e+00 0 -1 2844 736. -2 -3 2845
-            1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2810074090957642e-01 8.5732799768447876e-01
-            3.0406644940376282e-01 -4.0139013528823853e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1043927764892578e+02</treeThreshold>
-          <internalNodes>
-            1 2 2846 1.8500000000000000e+01 0 -1 2847
-            1.3500000000000000e+01 -2 -3 2848 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1801793575286865e-01 -6.8923234939575195e-01
-            3.4824138879776001e-01 -3.9184293150901794e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1031699371337891e+02</treeThreshold>
-          <internalNodes>
-            1 2 2849 1.5000000000000000e+00 0 -1 2850
-            6.5000000000000000e+00 -2 -3 2851 1.3150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8171523809432983e-01 4.3543782830238342e-01
-            2.0244181156158447e-01 -5.7358783483505249e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1005198669433594e+02</treeThreshold>
-          <internalNodes>
-            1 2 2852 5.0000000000000000e-01 0 -1 2853
-            1.5000000000000000e+00 -2 -3 2854 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.9932529926300049e-01 3.0936628580093384e-01
-            4.5090380311012268e-01 -5.8973568677902222e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1043847656250000e+02</treeThreshold>
-          <internalNodes>
-            1 2 2855 1.1535000000000000e+03 0 -1 2856
-            2.5000000000000000e+00 -2 -3 2857 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6080255210399628e-02 -5.6420469284057617e-01
-            -9.0285736322402954e-01 5.2813625335693359e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1080448150634766e+02</treeThreshold>
-          <internalNodes>
-            1 2 2858 4.2250000000000000e+02 0 -1 2859
-            1.2500000000000000e+01 -2 -3 2860 6.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6600381135940552e-01 -4.2345437407493591e-01
-            -6.1723202466964722e-01 3.4586450457572937e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1106856536865234e+02</treeThreshold>
-          <internalNodes>
-            1 2 2861 9.5000000000000000e+00 0 -1 2862
-            2.9500000000000000e+01 -2 -3 2863 37.</internalNodes>
-          <leafValues>
-            -7.5375384092330933e-01 1.6478213667869568e-01
-            2.6408138871192932e-01 -9.8490983247756958e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1055361175537109e+02</treeThreshold>
-          <internalNodes>
-            1 2 2864 7.5000000000000000e+00 0 -1 2865
-            4.9500000000000000e+01 -2 -3 2866 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.1494854688644409e-01 5.8261644840240479e-01
-            -6.6320908069610596e-01 3.6188036203384399e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1039524841308594e+02</treeThreshold>
-          <internalNodes>
-            1 2 2867 2.3500000000000000e+01 0 -1 2868
-            9.3500000000000000e+01 -2 -3 2869 1.9350000000000000e+02</internalNodes>
-          <leafValues>
-            6.8907684087753296e-01 -1.5836885571479797e-01
-            -4.8703750967979431e-01 1.7068152129650116e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1064450073242188e+02</treeThreshold>
-          <internalNodes>
-            1 2 2870 8.6450000000000000e+02 0 -1 2871
-            4.6500000000000000e+01 -2 -3 2872 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4546362161636353e-01 2.4925331771373749e-01
-            -8.3844619989395142e-01 8.3821475505828857e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1088278198242188e+02</treeThreshold>
-          <internalNodes>
-            1 2 2873 1.5000000000000000e+00 0 -1 2874
-            1.3350000000000000e+02 -2 -3 2875 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.7887850999832153e-01 2.3828317224979401e-01
-            4.8272988200187683e-01 -7.2873306274414062e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1105001068115234e+02</treeThreshold>
-          <internalNodes>
-            1 2 2876 71. 0 -1 2877 7.5000000000000000e+00 -2 -3 2878
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5053944587707520e-01 1.6722814738750458e-01
-            -9.4403290748596191e-01 6.4887309074401855e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1167649841308594e+02</treeThreshold>
-          <internalNodes>
-            1 2 2879 3.7850000000000000e+02 0 -1 2880 60. -2 -3 2881
-            9.5750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7580990791320801e-01 1.5962736308574677e-01
-            6.2649267911911011e-01 -9.5386557281017303e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1183348846435547e+02</treeThreshold>
-          <internalNodes>
-            1 2 2882 3.8500000000000000e+01 0 -1 2883
-            3.5000000000000000e+00 -2 -3 2884 12.</internalNodes>
-          <leafValues>
-            2.6490542292594910e-01 -3.1465035676956177e-01
-            9.2486298084259033e-01 -9.5018434524536133e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1203981018066406e+02</treeThreshold>
-          <internalNodes>
-            1 2 2885 7.5000000000000000e+00 0 -1 2886
-            9.8500000000000000e+01 -2 -3 2887 74.</internalNodes>
-          <leafValues>
-            -9.7645151615142822e-01 1. 2.0632074773311615e-01
-            -9.1167140007019043e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1171997833251953e+02</treeThreshold>
-          <internalNodes>
-            1 2 2888 5.0000000000000000e-01 0 -1 2889
-            5.5000000000000000e+00 -2 -3 2890 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1983077526092529e-01 3.1867963075637817e-01
-            -7.6559156179428101e-01 4.0382763836532831e-04</leafValues></_>
-        <_>
-          <treeThreshold>1.1211449432373047e+02</treeThreshold>
-          <internalNodes>
-            1 2 2891 2.1305000000000000e+03 0 -1 2892
-            9.5000000000000000e+00 -2 -3 2893 240.</internalNodes>
-          <leafValues>
-            -3.2820355892181396e-01 3.9451143145561218e-01
-            -6.1393386125564575e-01 8.8679784536361694e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1231577301025391e+02</treeThreshold>
-          <internalNodes>
-            1 2 2894 1.0015000000000000e+03 0 -1 2895
-            1.1445000000000000e+03 -2 -3 2896 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.2687128186225891e-01 3.6754199862480164e-01
-            6.3371849060058594e-01 -7.9295963048934937e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1249615478515625e+02</treeThreshold>
-          <internalNodes>
-            1 2 2897 2.7500000000000000e+01 0 -1 2898
-            8.5000000000000000e+00 -2 -3 2899 37.</internalNodes>
-          <leafValues>
-            -7.1115958690643311e-01 1.8038435280323029e-01
-            -9.7455215454101562e-01 6.9934636354446411e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1233912658691406e+02</treeThreshold>
-          <internalNodes>
-            1 2 2900 2.6050000000000000e+02 0 -1 2901
-            1.0865000000000000e+03 -2 -3 2902 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 9.7971618175506592e-01 -3.2329601049423218e-01
-            2.7071443200111389e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1283988952636719e+02</treeThreshold>
-          <internalNodes>
-            1 2 2903 5.5500000000000000e+01 0 -1 2904
-            4.3535000000000000e+03 -2 -3 2905 2.5450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9977166652679443e-01 7.4463641643524170e-01
-            7.4907875061035156e-01 -2.6945650577545166e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1258075714111328e+02</treeThreshold>
-          <internalNodes>
-            1 2 2906 2.5000000000000000e+00 0 -1 2907
-            5.0000000000000000e-01 -2 -3 2908 8.4500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -8.3365887403488159e-01 -2.3259581625461578e-01
-            3.6352834105491638e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1218470764160156e+02</treeThreshold>
-          <internalNodes>
-            1 2 2909 5.8500000000000000e+01 0 -1 2910
-            1.5000000000000000e+00 -2 -3 2911 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9657179117202759e-01 -3.9605233073234558e-01
-            -8.2379591464996338e-01 8.8194245100021362e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1259869384765625e+02</treeThreshold>
-          <internalNodes>
-            1 2 2912 1.6500000000000000e+01 0 -1 2913 336. -2 -3 2914
-            5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8623585700988770e-01 -5.5348306894302368e-01
-            4.7885289788246155e-01 -7.1009427309036255e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1295644378662109e+02</treeThreshold>
-          <internalNodes>
-            1 2 2915 8.5000000000000000e+00 0 -1 2916 531. -2 -3 2917
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.0240961313247681e-01 -5.4123049974441528e-01
-            -7.9777017235755920e-03 7.5631076097488403e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1320769500732422e+02</treeThreshold>
-          <internalNodes>
-            1 2 2918 2.7550000000000000e+02 0 -1 2919
-            2.5500000000000000e+01 -2 -3 2920 4.7575000000000000e+03</internalNodes>
-          <leafValues>
-            -7.4220085144042969e-01 6.7942351102828979e-01
-            2.5125479698181152e-01 -8.1848102807998657e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1344058227539062e+02</treeThreshold>
-          <internalNodes>
-            1 2 2921 2.5000000000000000e+00 0 -1 2922 1986. -2 -3 2923
-            95.</internalNodes>
-          <leafValues>
-            -6.4574551582336426e-01 2.3289002478122711e-01
-            -7.1047574281692505e-01 4.2588540911674500e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1300727844238281e+02</treeThreshold>
-          <internalNodes>
-            1 2 2924 5.0000000000000000e-01 0 -1 2925
-            2.5000000000000000e+00 -2 -3 2926 1062.</internalNodes>
-          <leafValues>
-            -5.7494455575942993e-01 4.5384889841079712e-01
-            7.2286838293075562e-01 -4.3494719266891479e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1288256072998047e+02</treeThreshold>
-          <internalNodes>
-            1 2 2927 3.1500000000000000e+01 0 -1 2928
-            3.5000000000000000e+00 -2 -3 2929 16.</internalNodes>
-          <leafValues>
-            -7.3260617256164551e-01 1.8130634725093842e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.1306512451171875e+02</treeThreshold>
-          <internalNodes>
-            1 2 2930 1.2150000000000000e+02 0 -1 2931
-            8.5000000000000000e+00 -2 -3 2932 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4935305118560791e-01 1.8256729841232300e-01
-            -8.5249531269073486e-01 6.5636491775512695e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1327575683593750e+02</treeThreshold>
-          <internalNodes>
-            1 2 2933 1.5000000000000000e+00 0 -1 2934
-            2.1500000000000000e+01 -2 -3 2935 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.9801164865493774e-01 2.1062798798084259e-01
-            9.2823314666748047e-01 -8.5738253593444824e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1357308197021484e+02</treeThreshold>
-          <internalNodes>
-            1 2 2936 6.4500000000000000e+01 0 -1 2937
-            4.8065000000000000e+03 -2 -3 2938 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 6.2009447813034058e-01 -5.3834468126296997e-01
-            1.5692129731178284e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1360353851318359e+02</treeThreshold>
-          <internalNodes>
-            1 2 2939 1.3500000000000000e+01 0 -1 2940
-            3.3045000000000000e+03 -2 -3 2941 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1004110574722290e-01 3.1958633661270142e-01
-            -5.8265125751495361e-01 6.3131624460220337e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1372930908203125e+02</treeThreshold>
-          <internalNodes>
-            1 2 2942 1.4650000000000000e+02 0 -1 2943
-            1.6500000000000000e+01 -2 -3 2944 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4133225679397583e-01 -5.4960429668426514e-01
-            5.1201045513153076e-01 -6.1359316110610962e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1392496490478516e+02</treeThreshold>
-          <internalNodes>
-            1 2 2945 4.4500000000000000e+01 0 -1 2946
-            5.0000000000000000e-01 -2 -3 2947 9.7750000000000000e+02</internalNodes>
-          <leafValues>
-            6.2203013896942139e-01 -6.3180530071258545e-01
-            5.6117540597915649e-01 -1.3368546962738037e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1346260070800781e+02</treeThreshold>
-          <internalNodes>
-            1 2 2948 5.5500000000000000e+01 0 -1 2949
-            5.0000000000000000e-01 -2 -3 2950 80.</internalNodes>
-          <leafValues>
-            2.3815618455410004e-01 -4.6236431598663330e-01
-            9.0325075387954712e-01 -9.0121394395828247e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1379386901855469e+02</treeThreshold>
-          <internalNodes>
-            1 2 2951 9.4500000000000000e+01 0 -1 2952
-            7.5000000000000000e+00 -2 -3 2953 1.1550000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6673280000686646e-01 3.3126986026763916e-01
-            9.0798473358154297e-01 -7.4096632003784180e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1406409454345703e+02</treeThreshold>
-          <internalNodes>
-            1 2 2954 7.5000000000000000e+00 0 -1 2955
-            8.6500000000000000e+01 -2 -3 2956 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2672061920166016e-01 7.3485738039016724e-01
-            -4.7021928429603577e-01 2.7022856473922729e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1425277709960938e+02</treeThreshold>
-          <internalNodes>
-            1 2 2957 8.5350000000000000e+02 0 -1 2958
-            5.0000000000000000e-01 -2 -3 2959 6.8850000000000000e+02</internalNodes>
-          <leafValues>
-            6.2956070899963379e-01 -7.4446845054626465e-01
-            1.8867783248424530e-01 -9.8959106206893921e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1466915893554688e+02</treeThreshold>
-          <internalNodes>
-            1 2 2960 1.5000000000000000e+00 0 -1 2961
-            3.5000000000000000e+00 -2 -3 2962 8.5850000000000000e+02</internalNodes>
-          <leafValues>
-            3.6259412765502930e-02 -6.7085331678390503e-01
-            4.1638222336769104e-01 -4.7934916615486145e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1474370574951172e+02</treeThreshold>
-          <internalNodes>
-            1 2 2963 9.5000000000000000e+00 0 -1 2964
-            8.5000000000000000e+00 -2 -3 2965 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9327950477600098e-01 8.3167332410812378e-01
-            2.6488289237022400e-01 -5.8886319398880005e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1511044311523438e+02</treeThreshold>
-          <internalNodes>
-            1 2 2966 5.4650000000000000e+02 0 -1 2967 14. -2 -3 2968
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2996919155120850e-01 5.8129179477691650e-01
-            3.6674419045448303e-01 -2.4709728360176086e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1493881225585938e+02</treeThreshold>
-          <internalNodes>
-            1 2 2969 5.5000000000000000e+00 0 -1 2970
-            8.5500000000000000e+01 -2 -3 2971 1.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -1.7163147032260895e-01 4.9650168418884277e-01
-            5.4086452722549438e-01 -7.1398860216140747e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1525379943847656e+02</treeThreshold>
-          <internalNodes>
-            1 2 2972 7.5000000000000000e+00 0 -1 2973
-            9.7500000000000000e+01 -2 -3 2974 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4871836900711060e-01 8.4198021888732910e-01
-            7.7815693616867065e-01 -4.4086512178182602e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1525665283203125e+02</treeThreshold>
-          <internalNodes>
-            1 2 2975 2.5000000000000000e+00 0 -1 2976
-            4.1500000000000000e+01 -2 -3 2977 3.2350000000000000e+02</internalNodes>
-          <leafValues>
-            4.9186840653419495e-01 -7.5632154941558838e-01
-            2.8518673498183489e-03 -8.1358987092971802e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1538195037841797e+02</treeThreshold>
-          <internalNodes>
-            1 2 2978 1.7500000000000000e+01 0 -1 2979
-            9.2105000000000000e+03 -2 -3 2980 5.5250000000000000e+02</internalNodes>
-          <leafValues>
-            1.2530399858951569e-01 -7.3197114467620850e-01
-            -6.1813545227050781e-01 4.5981425046920776e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1562681579589844e+02</treeThreshold>
-          <internalNodes>
-            1 2 2981 5.0000000000000000e-01 0 -1 2982
-            1.5000000000000000e+00 -2 -3 2983 1.1850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.4110070466995239e-01 3.4923154115676880e-01
-            -6.6522723436355591e-01 4.2554613947868347e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1559072113037109e+02</treeThreshold>
-          <internalNodes>
-            1 2 2984 5.0000000000000000e-01 0 -1 2985
-            5.0000000000000000e-01 -2 -3 2986 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1298755407333374e-01 4.5155742764472961e-01
-            -4.8606547713279724e-01 6.4945244789123535e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1585576629638672e+02</treeThreshold>
-          <internalNodes>
-            1 2 2987 7.7500000000000000e+01 0 -1 2988
-            2.5000000000000000e+00 -2 -3 2989 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6504445075988770e-01 -5.9735137224197388e-01
-            5.0929725170135498e-01 -8.4812289476394653e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1602140808105469e+02</treeThreshold>
-          <internalNodes>
-            1 2 2990 1315. 0 -1 2991 2.6950000000000000e+02 -2 -3 2992
-            3292.</internalNodes>
-          <leafValues>
-            1. -9.5098608732223511e-01 1.6564650833606720e-01
-            -9.7165077924728394e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1634813690185547e+02</treeThreshold>
-          <internalNodes>
-            1 2 2993 2.8550000000000000e+02 0 -1 2994
-            1.8950000000000000e+02 -2 -3 2995 4.2450000000000000e+02</internalNodes>
-          <leafValues>
-            1.7797231674194336e-01 -7.0725780725479126e-01
-            3.2672277092933655e-01 -4.6791586279869080e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1600035858154297e+02</treeThreshold>
-          <internalNodes>
-            1 2 2996 1.2500000000000000e+01 0 -1 2997
-            2.7500000000000000e+01 -2 -3 2998 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3542865514755249e-01 8.1487077474594116e-01
-            -1.1515256017446518e-01 5.5976140499114990e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1629707336425781e+02</treeThreshold>
-          <internalNodes>
-            1 2 2999 3.4500000000000000e+01 0 -1 3000
-            5.4500000000000000e+01 -2 -3 3001 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.9671633243560791e-01 -8.1005460023880005e-01
-            4.5441552996635437e-01 -6.3396769762039185e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1664207458496094e+02</treeThreshold>
-          <internalNodes>
-            1 2 3002 1.5000000000000000e+00 0 -1 3003
-            6.5000000000000000e+00 -2 -3 3004 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5282824039459229e-01 8.6983382701873779e-01
-            -3.2741194963455200e-01 3.4500163793563843e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1623783111572266e+02</treeThreshold>
-          <internalNodes>
-            1 2 3005 5.0000000000000000e-01 0 -1 3006
-            3.8475000000000000e+03 -2 -3 3007 4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.6906247735023499e-01 4.3219438195228577e-01
-            -5.9196656942367554e-01 3.5415863990783691e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1682369232177734e+02</treeThreshold>
-          <internalNodes>
-            1 2 3008 3.5450000000000000e+02 0 -1 3009 2759. -2 -3 3010
-            2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3874697685241699e-01 5.8586502075195312e-01
-            -7.2635281085968018e-01 2.0415544509887695e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1681407165527344e+02</treeThreshold>
-          <internalNodes>
-            1 2 3011 5.7750000000000000e+02 0 -1 3012
-            1.0500000000000000e+01 -2 -3 3013 3.8965000000000000e+03</internalNodes>
-          <leafValues>
-            -9.6233375370502472e-03 -8.1473666429519653e-01
-            6.1106562614440918e-01 -7.2611153125762939e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1703710937500000e+02</treeThreshold>
-          <internalNodes>
-            1 2 3014 2.5000000000000000e+00 0 -1 3015
-            6.0515000000000000e+03 -2 -3 3016 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.2303590178489685e-01 -7.8184336423873901e-01
-            -7.8855013847351074e-01 5.3229647874832153e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1659355926513672e+02</treeThreshold>
-          <internalNodes>
-            1 2 3017 1.5500000000000000e+01 0 -1 3018
-            5.6500000000000000e+01 -2 -3 3019 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4354486465454102e-01 2.7184101939201355e-01
-            -9.1781646013259888e-01 4.9616247415542603e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1686206054687500e+02</treeThreshold>
-          <internalNodes>
-            1 2 3020 2.3500000000000000e+01 0 -1 3021
-            1.5000000000000000e+00 -2 -3 3022 1039.</internalNodes>
-          <leafValues>
-            -6.9499677419662476e-01 2.6850062608718872e-01
-            5.3405404090881348e-01 -8.1517779827117920e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1712821960449219e+02</treeThreshold>
-          <internalNodes>
-            1 2 3023 1.1500000000000000e+01 0 -1 3024
-            9.3650000000000000e+02 -2 -3 3025 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8214719295501709e-01 4.2026668787002563e-01
-            -6.5273833274841309e-01 3.7967935204505920e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1673587799072266e+02</treeThreshold>
-          <internalNodes>
-            1 2 3026 5.0000000000000000e-01 0 -1 3027
-            3.5000000000000000e+00 -2 -3 3028 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4606467485427856e-01 4.1681709885597229e-01
-            -5.9122633934020996e-01 2.8970411419868469e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1750084686279297e+02</treeThreshold>
-          <internalNodes>
-            1 2 3029 1.6500000000000000e+01 0 -1 3030 15. -2 -3 3031
-            1.9855000000000000e+03</internalNodes>
-          <leafValues>
-            9.6899873018264771e-01 -1. -8.1302636861801147e-01
-            3.7165968678891659e-03</leafValues></_>
-        <_>
-          <treeThreshold>1.1750557708740234e+02</treeThreshold>
-          <internalNodes>
-            1 2 3032 8.2150000000000000e+02 0 -1 3033
-            3.5000000000000000e+00 -2 -3 3034 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.6601996421813965e-01 5.9305047988891602e-01
-            -8.5805094242095947e-01 4.7341291792690754e-03</leafValues></_>
-        <_>
-          <treeThreshold>1.1816818237304688e+02</treeThreshold>
-          <internalNodes>
-            1 2 3035 1.6850000000000000e+02 0 -1 3036
-            1.5000000000000000e+00 -2 -3 3037 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 6.6260558366775513e-01 -6.9309425354003906e-01
-            5.9965264052152634e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1821002197265625e+02</treeThreshold>
-          <internalNodes>
-            1 2 3038 620. 0 -1 3039 1182. -2 -3 3040
-            1.5115000000000000e+03</internalNodes>
-          <leafValues>
-            4.1837029159069061e-02 -7.9592239856719971e-01 -1.
-            9.2407900094985962e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1791598510742188e+02</treeThreshold>
-          <internalNodes>
-            1 2 3041 1.5000000000000000e+00 0 -1 3042
-            5.0000000000000000e-01 -2 -3 3043 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0829302072525024e-01 4.5243009924888611e-01
-            -6.9395291805267334e-01 7.5258597731590271e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1805176544189453e+02</treeThreshold>
-          <internalNodes>
-            1 2 3044 229. 0 -1 3045 1.9835000000000000e+03 -2 -3 3046
-            6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.3577787578105927e-01 -9.8038744926452637e-01 1.
-            -9.8189878463745117e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1815481567382812e+02</treeThreshold>
-          <internalNodes>
-            1 2 3047 4.5000000000000000e+00 0 -1 3048 3. -2 -3 3049
-            5.0555000000000000e+03</internalNodes>
-          <leafValues>
-            -1. 6.8868088722229004e-01 1.0305030643939972e-01
-            -9.2723184823989868e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1790955352783203e+02</treeThreshold>
-          <internalNodes>
-            1 2 3050 2.4500000000000000e+01 0 -1 3051
-            8.1500000000000000e+01 -2 -3 3052 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4526403844356537e-01 7.3126202821731567e-01
-            8.8459062576293945e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>1.1719922637939453e+02</treeThreshold>
-          <internalNodes>
-            1 2 3053 3.5000000000000000e+00 0 -1 3054 161. -2 -3 3055
-            2.3055000000000000e+03</internalNodes>
-          <leafValues>
-            3.4097507596015930e-01 -7.3160159587860107e-01
-            -7.1032357215881348e-01 2.1932438015937805e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1802425384521484e+02</treeThreshold>
-          <internalNodes>
-            1 2 3056 1.0775000000000000e+03 0 -1 3057 1069. -2 -3 3058
-            3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 8.2502609491348267e-01 -3.4417897462844849e-01
-            3.8862380385398865e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1822765350341797e+02</treeThreshold>
-          <internalNodes>
-            1 2 3059 5.6500000000000000e+01 0 -1 3060
-            3.5000000000000000e+00 -2 -3 3061 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4351071119308472e-01 2.0340043306350708e-01
-            -9.6025758981704712e-01 9.0146809816360474e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1837182617187500e+02</treeThreshold>
-          <internalNodes>
-            1 2 3062 1.9150000000000000e+02 0 -1 3063
-            6.0500000000000000e+01 -2 -3 3064 80.</internalNodes>
-          <leafValues>
-            1.4417025446891785e-01 -6.5984970331192017e-01
-            -9.8928850889205933e-01 9.0138816833496094e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1857872009277344e+02</treeThreshold>
-          <internalNodes>
-            1 2 3065 2.1500000000000000e+01 0 -1 3066
-            5.0000000000000000e-01 -2 -3 3067 2330.</internalNodes>
-          <leafValues>
-            5.4495859146118164e-01 -7.0084166526794434e-01
-            2.0690013468265533e-01 -9.6294975280761719e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1802633666992188e+02</treeThreshold>
-          <internalNodes>
-            1 2 3068 5.7550000000000000e+02 0 -1 3069
-            1.4750000000000000e+02 -2 -3 3070 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5238926410675049e-01 1.9023463129997253e-01
-            -5.1289671659469604e-01 4.9855348467826843e-01</leafValues></_></trees>
-      <features>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 6 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 7 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 5 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 2 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 1 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 1 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 2 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 9 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 7 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 2 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 1 3 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 0 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 7 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 6 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 1 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 8 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 0 4 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 1 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 3 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 6 2 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 2 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 9 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 7 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 10 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 7 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 12 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 3 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 0 5 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 6 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 1 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 6 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 5 6 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 5 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 6 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 3 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 3 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 7 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 12 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 5 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 1 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 2 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 4 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 2 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 1 3 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 7 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 4 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 4 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 5 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 3 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 2 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 4 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 5 1 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 8 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 3 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 1 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 3 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 6 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 4 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 6 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 3 5 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 4 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 5 1 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 2 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 8 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 7 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 0 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 6 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 11 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 1 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 8 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 1 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 2 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 6 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 14 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 0 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 4 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 3 7 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 10 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 0 2 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 11 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 4 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 12 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 2 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 4 6 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 5 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 2 6 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 6 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 0 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 11 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 12 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 1 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 4 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 9 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 2 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 7 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 2 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 8 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 2 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 8 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 4 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 1 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 2 5 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 3 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 4 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 12 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 2 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 13 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 3 5 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 3 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 2 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 1 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 7 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 4 7 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 7 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 5 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 8 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 13 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 11 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 12 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 11 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 5 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 11 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 3 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 9 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 12 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 5 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 5 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 4 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 0 5 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 8 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 5 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 6 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 6 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 6 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 6 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 9 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 1 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 13 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 5 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 10 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 1 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 11 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 7 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 14 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 6 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 14 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 7 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 4 7 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 5 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 6 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 9 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 11 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 3 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 11 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 4 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 13 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 9 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 4 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 13 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 4 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 3 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 4 5 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 8 6 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 2 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 8 6 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 7 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 8 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 4 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 4 7 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 9 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 12 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 2 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 8 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 12 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 6 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 5 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 1 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 4 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 7 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 9 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 13 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 4 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 0 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 7 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 11 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 5 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 0 3 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 11 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 4 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 7 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 11 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 6 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 6 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 5 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 0 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 4 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 2 2 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 9 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 6 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 7 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 11 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 11 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 8 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 3 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 2 1 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 4 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 2 7 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 3 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 9 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 3 4 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 6 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 6 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 2 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 4 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 6 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 7 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 4 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 6 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 4 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 8 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 6 6 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 4 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 7 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 14 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 13 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 9 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 1 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 9 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 6 3 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 7 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 6 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 2 5 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 11 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 6 3 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 0 1 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 0 4 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 4 7 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 1 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 1 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 5 7 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 7 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 6 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 7 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 6 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 7 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 5 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 11 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 8 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 4 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 1 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 12 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 2 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 1 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 6 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 9 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 3 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 9 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 12 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 7 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 10 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 1 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 11 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 8 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 12 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 5 7 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 4 1 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 2 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 12 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 8 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 14 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 12 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 12 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 7 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 7 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 5 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 1 4 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 6 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 5 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 11 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 9 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 6 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 11 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 0 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 5 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 4 1 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 5 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 4 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 4 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 12 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 11 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 7 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 1 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 12 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 8 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 7 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 9 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 13 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 9 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 7 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 7 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 5 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 3 6 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 3 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 7 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 0 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 12 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 7 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 4 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 11 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 11 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 8 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 3 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 5 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 6 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 7 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 10 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 3 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 12 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 11 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 8 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 6 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 4 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 7 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 13 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 8 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 4 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 3 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 4 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 1 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 2 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 9 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 3 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 2 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 12 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 6 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 11 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 3 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 8 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 9 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 6 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 1 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 7 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 5 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 4 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 11 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 1 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 12 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 8 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 7 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 1 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 6 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 5 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 1 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 1 3 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 5 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 3 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 13 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 7 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 11 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 2 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 6 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 1 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 4 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 4 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 4 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 3 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 4 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 3 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 7 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 5 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 11 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 9 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 5 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 4 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 8 5 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 11 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 11 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 5 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 6 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 8 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 3 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 9 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 7 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 3 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 6 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 3 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 6 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 13 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 6 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 12 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 2 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 10 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 12 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 0 1 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 9 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 6 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 7 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 10 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 1 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 3 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 2 2 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 2 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 5 6 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 9 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 9 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 9 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 8 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 2 7 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 11 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 10 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 10 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 9 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 2 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 8 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 4 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 1 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 7 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 2 2 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 5 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 7 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 7 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 4 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 5 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 2 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 7 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 8 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 6 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 4 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 4 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 7 5 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 13 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 1 6 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 5 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 11 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 11 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 3 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 2 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 5 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 6 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 4 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 4 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 2 4 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 12 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 7 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 1 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 11 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 1 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 8 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 10 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 7 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 6 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 11 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 8 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 1 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 3 3 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 8 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 4 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 12 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 7 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 2 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 9 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 7 3 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 12 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 3 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 6 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 5 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 10 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 8 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 11 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 2 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 6 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 3 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 2 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 7 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 12 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 5 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 9 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 6 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 12 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 11 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 4 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 9 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 6 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 3 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 1 5 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 3 4 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 7 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 9 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 0 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 0 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 2 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 7 4 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 11 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 6 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 2 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 5 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 2 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 9 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 6 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 6 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 7 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 7 6 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 6 6 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 8 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 5 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 4 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 8 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 11 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 13 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 10 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 0 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 8 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 8 1 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 6 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 2 3 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 1 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 14 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 13 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 4 6 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 9 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 7 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 3 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 6 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 11 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 7 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 6 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 4 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 8 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 6 4 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 1 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 7 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 11 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 11 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 5 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 1 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 2 6 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 6 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 1 2 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 2 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 3 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 6 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 13 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 7 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 7 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 6 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 2 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 4 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 2 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 8 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 10 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 7 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 8 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 2 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 5 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 7 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 7 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 11 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 2 7 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 1 6 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 10 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 11 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 4 1 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 5 7 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 6 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 5 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 5 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 4 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 1 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 2 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 1 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 9 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 7 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 11 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 6 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 11 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 3 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 4 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 6 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 5 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 4 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 2 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 8 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 9 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 13 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 5 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 9 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 3 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 9 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 0 2 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 11 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 13 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 0 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 4 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 12 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 6 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 6 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 12 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 2 3 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 1 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 2 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 4 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 5 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 11 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 1 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 6 3 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 2 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 3 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 0 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 3 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 12 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 12 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 4 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 2 2 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 11 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 11 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 7 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 1 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 3 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 11 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 2 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 2 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 3 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 10 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 1 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 4 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 9 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 2 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 6 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 11 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 13 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 6 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 6 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 6 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 8 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 5 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 4 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 1 4 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 6 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 11 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 3 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 9 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 3 1 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 7 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 2 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 6 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 2 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 1 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 6 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 7 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 5 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 0 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 6 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 5 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 7 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 11 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 12 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 6 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 8 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 8 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 2 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 7 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 11 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 3 5 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 3 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 11 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 1 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 9 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 5 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 13 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 1 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 1 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 2 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 14 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 0 1 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 9 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 7 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 9 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 9 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 7 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 12 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 8 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 11 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 1 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 2 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 1 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 3 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 0 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 7 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 12 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 13 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 5 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 6 4 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 9 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 6 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 2 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 7 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 7 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 4 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 5 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 0 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 12 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 3 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 0 4 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 2 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 5 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 2 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 1 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 2 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 6 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 5 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 7 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 11 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 4 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 11 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 2 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 1 6 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 7 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 3 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 6 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 4 1 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 7 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 5 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 13 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 1 6 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 5 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 1 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 12 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 8 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 4 6 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 3 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 3 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 14 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 7 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 9 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 3 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 3 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 8 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 11 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 4 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 3 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 11 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 13 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 9 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 4 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 2 2 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 5 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 0 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 1 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 6 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 9 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 4 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 4 4 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 0 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 2 5 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 5 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 13 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 11 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 12 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 0 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 4 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 2 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 7 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 1 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 5 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 7 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 6 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 2 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 2 3 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 7 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 11 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 3 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 7 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 3 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 4 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 0 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 5 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 1 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 10 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 4 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 3 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 4 5 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 1 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 7 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 11 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 12 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 11 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 11 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 1 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 5 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 11 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 4 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 1 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 2 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 4 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 1 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 1 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 3 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 3 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 1 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 8 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 2 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 6 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 9 3 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 1 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 11 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 3 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 6 3 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 9 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 0 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 3 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 2 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 2 6 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 7 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 6 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 5 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 1 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 12 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 3 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 3 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 4 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 4 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 5 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 7 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 7 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 8 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 6 2 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 11 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 1 2 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 5 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 7 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 3 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 3 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 8 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 3 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 8 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 7 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 0 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 4 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 3 6 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 12 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 6 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 0 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 11 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 12 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 1 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 11 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 12 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 4 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 5 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 2 3 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 8 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 2 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 3 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 7 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 4 3 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 10 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 4 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 3 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 11 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 5 2 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 6 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 2 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 4 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 7 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 8 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 6 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 11 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 10 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 7 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 9 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 11 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 9 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 6 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 2 6 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 8 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 3 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 2 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 11 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 12 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 6 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 3 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 7 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 0 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 4 4 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 11 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 4 6 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 1 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 3 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 8 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 0 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 6 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 6 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 11 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 5 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 7 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 2 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 5 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 2 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 1 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 1 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 11 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 3 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 6 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 8 5 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 6 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 11 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 5 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 7 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 6 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 11 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 11 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 1 3 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 6 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 2 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 4 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 3 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 5 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 12 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 9 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 4 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 5 6 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 8 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 1 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 4 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 3 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 3 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 1 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 0 5 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 4 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 7 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 8 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 8 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 6 1 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 2 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 3 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 11 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 7 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 12 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 6 6 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 1 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 6 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 6 7 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 1 7 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 6 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 9 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 4 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 3 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 11 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 4 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 1 5 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 4 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 8 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 6 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 2 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 7 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 13 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 0 2 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 2 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 4 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 6 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 2 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 7 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 7 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 7 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 1 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 4 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 8 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 14 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 5 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 3 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 12 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 4 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 6 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 8 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 3 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 12 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 10 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 5 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 1 6 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 5 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 9 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 6 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 3 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 1 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 5 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 7 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 4 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 6 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 12 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 6 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 1 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 12 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 11 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 5 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 3 7 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 5 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 5 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 6 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 12 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 4 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 5 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 1 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 1 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 6 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 2 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 9 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 8 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 9 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 1 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 2 1 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 10 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 9 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 8 5 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 5 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 8 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 8 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 5 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 5 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 0 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 6 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 12 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 14 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 2 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 1 3 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 4 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 9 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 4 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 8 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 1 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 6 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 12 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 6 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 10 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 7 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 2 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 4 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 1 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 0 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 4 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 6 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 2 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 1 2 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 11 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 11 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 5 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 10 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 0 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 13 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 10 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 12 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 6 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 4 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 5 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 0 1 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 5 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 7 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 1 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 6 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 9 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 7 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 4 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 5 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 3 7 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 5 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 13 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 4 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 2 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 3 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 5 7 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 3 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 3 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 6 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 2 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 6 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 14 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 6 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 1 7 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 6 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 14 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 5 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 5 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 5 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 9 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 6 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 5 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 11 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 11 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 5 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 11 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 12 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 6 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 2 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 8 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 1 2 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 10 4 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 4 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 7 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 2 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 1 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 2 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 9 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 3 5 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 9 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 6 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 5 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 6 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 12 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 2 1 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 8 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 11 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 5 7 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 0 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 11 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 6 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 1 5 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 5 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 7 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 7 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 6 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 1 2 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 6 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 10 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 4 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 2 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 8 4 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 14 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 3 11</rect></_></features></_>
-    <_>
-      <scale>0</scale>
-      <weaks>1024</weaks>
-      <trees>
-        <_>
-          <treeThreshold>-8.4679585695266724e-01</treeThreshold>
-          <internalNodes>
-            1 2 0 7.7750000000000000e+02 0 -1 1 5.8850000000000000e+02
-            -2 -3 2 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4679585695266724e-01 7.5506496429443359e-01
-            -6.9044047594070435e-01 6.3049119710922241e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.6734303236007690e+00</treeThreshold>
-          <internalNodes>
-            1 2 3 1.9500000000000000e+01 0 -1 4 1.5500000000000000e+01
-            -2 -3 5 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5389009714126587e-01 6.4812886714935303e-01
-            -2.1629486978054047e-01 -8.2663446664810181e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.8291370868682861e+00</treeThreshold>
-          <internalNodes>
-            1 2 6 1.3500000000000000e+01 0 -1 7 2.0350000000000000e+02
-            -2 -3 8 3.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -1.5570680797100067e-01 -8.0992084741592407e-01
-            6.8644106388092041e-01 -5.6922149658203125e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.7377158403396606e+00</treeThreshold>
-          <internalNodes>
-            1 2 9 3.6500000000000000e+01 0 -1 10 2.4500000000000000e+01
-            -2 -3 11 2.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.2347095012664795e-01 3.0225446820259094e-01
-            6.9995605945587158e-01 -1.7914050817489624e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.2347910404205322e+00</treeThreshold>
-          <internalNodes>
-            1 2 12 2.0550000000000000e+02 0 -1 13 6.7500000000000000e+01
-            -2 -3 14 8.6350000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9707528948783875e-01 1.7866376042366028e-01
-            7.4965566396713257e-01 5.7663144543766975e-03</leafValues></_>
-        <_>
-          <treeThreshold>-1.8678615093231201e+00</treeThreshold>
-          <internalNodes>
-            1 2 15 1.5150000000000000e+02 0 -1 16 1.0500000000000000e+01
-            -2 -3 17 4.3255000000000000e+03</internalNodes>
-          <leafValues>
-            -2.6820951700210571e-01 6.4194840192794800e-01
-            -6.7160737514495850e-01 6.3368387520313263e-02</leafValues></_>
-        <_>
-          <treeThreshold>-2.0991549491882324e+00</treeThreshold>
-          <internalNodes>
-            1 2 18 1.5000000000000000e+00 0 -1 19 2.9500000000000000e+01
-            -2 -3 20 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.0631237030029297e-01 5.5947405099868774e-01
-            7.0312672853469849e-01 -4.0578368306159973e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.0249555110931396e+00</treeThreshold>
-          <internalNodes>
-            1 2 21 5.2500000000000000e+01 0 -1 22 7.5000000000000000e+00
-            -2 -3 23 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6095990836620331e-02 -7.4784129858016968e-01
-            5.0073879957199097e-01 -3.8508036732673645e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.0100402832031250e+00</treeThreshold>
-          <internalNodes>
-            1 2 24 3.7650000000000000e+02 0 -1 25 4.1500000000000000e+01
-            -2 -3 26 2.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6506282091140747e-01 2.3158341646194458e-01
-            -8.8750278949737549e-01 8.2055127620697021e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.6451328992843628e+00</treeThreshold>
-          <internalNodes>
-            1 2 27 7.5000000000000000e+00 0 -1 28 1.8500000000000000e+01
-            -2 -3 29 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.0027003288269043e-01 3.8312932848930359e-01
-            2.1947205066680908e-01 -5.9093552827835083e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.0925648212432861e+00</treeThreshold>
-          <internalNodes>
-            1 2 30 1.1500000000000000e+01 0 -1 31 9.5000000000000000e+00
-            -2 -3 32 2.6350000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6565398573875427e-01 5.0306195020675659e-01
-            4.4449210166931152e-01 -6.1473309993743896e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.5271776914596558e+00</treeThreshold>
-          <internalNodes>
-            1 2 33 5.0000000000000000e-01 0 -1 34 1.2500000000000000e+01
-            -2 -3 35 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7037209272384644e-01 5.6538718938827515e-01
-            -5.0570178031921387e-01 1.6205248236656189e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.1876722574234009e+00</treeThreshold>
-          <internalNodes>
-            1 2 36 3.5000000000000000e+00 0 -1 37 1.5000000000000000e+00
-            -2 -3 38 2.5150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4505090713500977e-01 3.8910430669784546e-01
-            -5.9720128774642944e-01 7.2264879941940308e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.1631057262420654e+00</treeThreshold>
-          <internalNodes>
-            1 2 39 2.7950000000000000e+02 0 -1 40 1.7065000000000000e+03
-            -2 -3 41 1.2495000000000000e+03</internalNodes>
-          <leafValues>
-            2.4566594511270523e-02 7.9330480098724365e-01
-            5.6873923540115356e-01 -4.0141937136650085e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.4218001365661621e-01</treeThreshold>
-          <internalNodes>
-            1 2 42 4.2525000000000000e+03 0 -1 43 4.5000000000000000e+00
-            -2 -3 44 1.5175000000000000e+03</internalNodes>
-          <leafValues>
-            3.2092568278312683e-01 -4.5945590734481812e-01
-            -8.0667120218276978e-01 4.0151047706604004e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.3475534915924072e+00</treeThreshold>
-          <internalNodes>
-            1 2 45 2.3500000000000000e+01 0 -1 46 8.8500000000000000e+01
-            -2 -3 47 9.2150000000000000e+02</internalNodes>
-          <leafValues>
-            3.0066493153572083e-01 -5.0537353754043579e-01
-            3.6820709705352783e-01 -9.1408914327621460e-01</leafValues></_>
-        <_>
-          <treeThreshold>-9.5874893665313721e-01</treeThreshold>
-          <internalNodes>
-            1 2 48 5.7550000000000000e+02 0 -1 49 6.7550000000000000e+02
-            -2 -3 50 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.4770929813385010e-01 3.3511099219322205e-01
-            3.8880458474159241e-01 -1.9090360403060913e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.5856813192367554e-01</treeThreshold>
-          <internalNodes>
-            1 2 51 6.1500000000000000e+01 0 -1 52 1.5000000000000000e+00
-            -2 -3 53 1158.</internalNodes>
-          <leafValues>
-            5.0987577438354492e-01 -3.8584578037261963e-01
-            -5.0875252485275269e-01 5.5896055698394775e-01</leafValues></_>
-        <_>
-          <treeThreshold>-6.4911109209060669e-01</treeThreshold>
-          <internalNodes>
-            1 2 54 2.2050000000000000e+02 0 -1 55 2.5750000000000000e+02
-            -2 -3 56 2.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.3486647605895996e-01 2.0945706963539124e-01
-            -8.4773159027099609e-01 4.1636252403259277e-01</leafValues></_>
-        <_>
-          <treeThreshold>-4.9586555361747742e-01</treeThreshold>
-          <internalNodes>
-            1 2 57 3.5000000000000000e+00 0 -1 58 2.5000000000000000e+00
-            -2 -3 59 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5921803712844849e-01 4.6488901972770691e-01
-            -6.8810594081878662e-01 -2.7040589600801468e-02</leafValues></_>
-        <_>
-          <treeThreshold>-4.7253912687301636e-01</treeThreshold>
-          <internalNodes>
-            1 2 60 2.5000000000000000e+00 0 -1 61 4.5000000000000000e+00
-            -2 -3 62 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9894185066223145e-01 6.2211072444915771e-01
-            -5.4600864648818970e-01 2.3326411843299866e-02</leafValues></_>
-        <_>
-          <treeThreshold>-5.5614802986383438e-02</treeThreshold>
-          <internalNodes>
-            1 2 63 2.4500000000000000e+01 0 -1 64 2.2500000000000000e+01
-            -2 -3 65 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.4692783355712891e-01 4.1692432761192322e-01
-            3.2402262091636658e-01 -8.1831818819046021e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4737248197197914e-02</treeThreshold>
-          <internalNodes>
-            1 2 66 3.4500000000000000e+01 0 -1 67 5.0000000000000000e-01
-            -2 -3 68 8.1750000000000000e+02</internalNodes>
-          <leafValues>
-            4.9493959546089172e-01 -4.3111301958560944e-02
-            4.1624513268470764e-01 -6.5285211801528931e-01</leafValues></_>
-        <_>
-          <treeThreshold>-3.8909688591957092e-01</treeThreshold>
-          <internalNodes>
-            1 2 69 4.6500000000000000e+01 0 -1 70 1.1950000000000000e+02
-            -2 -3 71 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.9863130450248718e-01 -6.7247897386550903e-01
-            5.4888677597045898e-01 -1.2822744250297546e-01</leafValues></_>
-        <_>
-          <treeThreshold>-7.9226568341255188e-02</treeThreshold>
-          <internalNodes>
-            1 2 72 1.1500000000000000e+01 0 -1 73 2.3550000000000000e+02
-            -2 -3 74 1.2550000000000000e+02</internalNodes>
-          <leafValues>
-            9.7892753779888153e-02 -7.6417064666748047e-01
-            -5.4467469453811646e-01 3.0987030267715454e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.9954596646130085e-03</treeThreshold>
-          <internalNodes>
-            1 2 75 1.5000000000000000e+00 0 -1 76 1.5000000000000000e+00
-            -2 -3 77 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4582867622375488e-01 4.6034806966781616e-01
-            9.2526301741600037e-02 -5.5669903755187988e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.2115581892430782e-02</treeThreshold>
-          <internalNodes>
-            1 2 78 1.4500000000000000e+01 0 -1 79 2.5000000000000000e+00
-            -2 -3 80 1284.</internalNodes>
-          <leafValues>
-            -1.0120121762156487e-02 -5.9989041090011597e-01
-            -1.7805591225624084e-01 6.3028931617736816e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5972565412521362e-01</treeThreshold>
-          <internalNodes>
-            1 2 81 1.9650000000000000e+02 0 -1 82 9.5000000000000000e+00
-            -2 -3 83 1.0625000000000000e+03</internalNodes>
-          <leafValues>
-            -2.0688037574291229e-01 3.7184122204780579e-01
-            7.2959977388381958e-01 -6.4402073621749878e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0813610553741455e-01</treeThreshold>
-          <internalNodes>
-            1 2 84 1.1050000000000000e+02 0 -1 85 4.5000000000000000e+00
-            -2 -3 86 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8497090339660645e-01 3.9636072516441345e-01
-            6.6349333524703979e-01 -5.1589541137218475e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.5005090236663818e-01</treeThreshold>
-          <internalNodes>
-            1 2 87 2.0550000000000000e+02 0 -1 88 3.5000000000000000e+00
-            -2 -3 89 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.3133915066719055e-01 -3.9812210202217102e-01
-            -6.8591558933258057e-01 4.8487389087677002e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8778470754623413e-01</treeThreshold>
-          <internalNodes>
-            1 2 90 1.3950000000000000e+02 0 -1 91 1.9500000000000000e+01
-            -2 -3 92 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.3595020771026611e-01 5.8211249113082886e-01
-            4.3087210506200790e-02 -5.4251241683959961e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2915985584259033e-01</treeThreshold>
-          <internalNodes>
-            1 2 93 4.5000000000000000e+00 0 -1 94 2929. -2 -3 95
-            3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6084750294685364e-01 -5.3846013545989990e-01
-            3.9264413714408875e-01 -2.5116056203842163e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1550654172897339e-01</treeThreshold>
-          <internalNodes>
-            1 2 96 1.2500000000000000e+01 0 -1 97 4.4500000000000000e+01
-            -2 -3 98 7.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1323480606079102e-01 3.6048817634582520e-01
-            6.6347086429595947e-01 -6.9799762964248657e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0855576992034912e+00</treeThreshold>
-          <internalNodes>
-            1 2 99 2.7500000000000000e+01 0 -1 100
-            8.5000000000000000e+00 -2 -3 101 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.5093611478805542e-01 3.0252355337142944e-01
-            1.6355676949024200e-01 -8.4324830770492554e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0639545917510986e+00</treeThreshold>
-          <internalNodes>
-            1 2 102 1.5000000000000000e+00 0 -1 103
-            3.7500000000000000e+01 -2 -3 104 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3908194303512573e-01 4.2347168922424316e-01
-            -4.4102880358695984e-01 4.3833139538764954e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0562820434570312e-01</treeThreshold>
-          <internalNodes>
-            1 2 105 4.5000000000000000e+00 0 -1 106
-            9.5000000000000000e+00 -2 -3 107 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.8544105291366577e-01 3.8719829916954041e-01
-            1.4575521647930145e-01 -4.6634963154792786e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0761597156524658e+00</treeThreshold>
-          <internalNodes>
-            1 2 108 1.4500000000000000e+01 0 -1 109
-            1.2545000000000000e+03 -2 -3 110 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            2.5986677408218384e-01 -4.0740066766738892e-01
-            4.9753630161285400e-01 -6.2639516592025757e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5152643918991089e+00</treeThreshold>
-          <internalNodes>
-            1 2 111 7.8250000000000000e+02 0 -1 112
-            1.2265000000000000e+03 -2 -3 113 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9889906644821167e-01 5.2061015367507935e-01
-            4.3910467624664307e-01 -2.6094654202461243e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4136078357696533e+00</treeThreshold>
-          <internalNodes>
-            1 2 114 1.0500000000000000e+01 0 -1 115 1696. -2 -3 116
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1. -9.7255414724349976e-01 3.5954985022544861e-01
-            -1.7254945635795593e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4225575923919678e+00</treeThreshold>
-          <internalNodes>
-            1 2 117 3.8500000000000000e+01 0 -1 118
-            1.0250000000000000e+02 -2 -3 119 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.4716213345527649e-01 3.7233117222785950e-01
-            4.1007906198501587e-01 -7.6787543296813965e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7332764863967896e+00</treeThreshold>
-          <internalNodes>
-            1 2 120 6.5000000000000000e+00 0 -1 121
-            6.5000000000000000e+00 -2 -3 122 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0807107686996460e-01 3.1071880459785461e-01
-            -7.6486444473266602e-01 -4.4724285602569580e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.8922506570816040e+00</treeThreshold>
-          <internalNodes>
-            1 2 123 5.0000000000000000e-01 0 -1 124
-            6.5000000000000000e+00 -2 -3 125 2.5175000000000000e+03</internalNodes>
-          <leafValues>
-            -4.5441693067550659e-01 5.4230731725692749e-01
-            -3.1970790028572083e-01 7.5582736730575562e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6188565492630005e+00</treeThreshold>
-          <internalNodes>
-            1 2 126 8.2450000000000000e+02 0 -1 127
-            1.5500000000000000e+01 -2 -3 128 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.7339416742324829e-01 3.4306022524833679e-01
-            1.7286354303359985e-01 -6.8018329143524170e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6078552007675171e+00</treeThreshold>
-          <internalNodes>
-            1 2 129 4.2050000000000000e+02 0 -1 130 263. -2 -3 131
-            8.4450000000000000e+02</internalNodes>
-          <leafValues>
-            5.0138735771179199e-01 -4.4576519727706909e-01
-            2.3392482101917267e-01 -3.9459699392318726e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8623019456863403e+00</treeThreshold>
-          <internalNodes>
-            1 2 132 2.0850000000000000e+02 0 -1 133
-            5.5000000000000000e+00 -2 -3 134 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0980271995067596e-02 -6.1965447664260864e-01
-            -7.8912788629531860e-01 5.9828245639801025e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7021096944808960e+00</treeThreshold>
-          <internalNodes>
-            1 2 135 4.2500000000000000e+01 0 -1 136
-            6.5000000000000000e+00 -2 -3 137 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1077250242233276e-01 -5.9424054622650146e-01
-            4.9294531345367432e-01 -1.6019217669963837e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9233746528625488e+00</treeThreshold>
-          <internalNodes>
-            1 2 138 1.5000000000000000e+00 0 -1 139
-            1.6500000000000000e+01 -2 -3 140 8.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7251849174499512e-01 9.7932207584381104e-01
-            2.2126492857933044e-01 -6.2606680393218994e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1816830635070801e+00</treeThreshold>
-          <internalNodes>
-            1 2 141 6.8500000000000000e+01 0 -1 142
-            9.6500000000000000e+01 -2 -3 143 4.3350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.1670400500297546e-01 2.5830829143524170e-01
-            -8.8838213682174683e-01 4.1476368904113770e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2655973434448242e+00</treeThreshold>
-          <internalNodes>
-            1 2 144 1.6500000000000000e+01 0 -1 145
-            5.5000000000000000e+00 -2 -3 146 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9501928091049194e-01 -3.1914636492729187e-01
-            -3.8668751716613770e-01 3.1921181082725525e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6427345275878906e+00</treeThreshold>
-          <internalNodes>
-            1 2 147 6.5000000000000000e+00 0 -1 148
-            2.4500000000000000e+01 -2 -3 149 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5482164621353149e-01 4.6515238285064697e-01
-            -5.1726001501083374e-01 2.0654375851154327e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9806412458419800e+00</treeThreshold>
-          <internalNodes>
-            1 2 150 2.8850000000000000e+02 0 -1 151
-            5.5000000000000000e+00 -2 -3 152 1.1515000000000000e+03</internalNodes>
-          <leafValues>
-            -6.6209328174591064e-01 1.8325349688529968e-01
-            4.9089592695236206e-01 -8.4841215610504150e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4156589508056641e+00</treeThreshold>
-          <internalNodes>
-            1 2 153 5.0000000000000000e-01 0 -1 154 2811. -2 -3 155
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.3501755595207214e-01 -6.5484809875488281e-01
-            4.1686266660690308e-01 -4.1646206378936768e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7843391895294189e+00</treeThreshold>
-          <internalNodes>
-            1 2 156 1.1350000000000000e+02 0 -1 157
-            3.3450000000000000e+02 -2 -3 158 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.6868026852607727e-01 -6.1238104104995728e-01
-            6.8396532535552979e-01 -1.2954165227711201e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.8158543109893799e+00</treeThreshold>
-          <internalNodes>
-            1 2 159 4.2550000000000000e+02 0 -1 160
-            5.6050000000000000e+02 -2 -3 161 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9484893083572388e-01 3.1515140086412430e-02
-            -7.0635133981704712e-01 6.2144660949707031e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0259079933166504e+00</treeThreshold>
-          <internalNodes>
-            1 2 162 7.5000000000000000e+00 0 -1 163
-            4.5000000000000000e+00 -2 -3 164 1.6375000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1446412801742554e-01 3.4102836251258850e-01
-            3.5541319847106934e-01 -4.5499989390373230e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3236474990844727e+00</treeThreshold>
-          <internalNodes>
-            1 2 165 1.5000000000000000e+00 0 -1 166
-            1.0500000000000000e+01 -2 -3 167 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.0691192150115967e-01 5.4418134689331055e-01
-            3.7381768226623535e-01 -3.6192026734352112e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2000217437744141e+00</treeThreshold>
-          <internalNodes>
-            1 2 168 1.0500000000000000e+01 0 -1 169
-            6.5000000000000000e+00 -2 -3 170 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1653541773557663e-01 -8.1098204851150513e-01
-            3.6642596125602722e-01 -2.8248944878578186e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2462809085845947e+00</treeThreshold>
-          <internalNodes>
-            1 2 171 1.9850000000000000e+02 0 -1 172
-            2.9500000000000000e+01 -2 -3 173 8.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9297759532928467e-01 5.5565875768661499e-01
-            5.2605623006820679e-01 -3.3815068006515503e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4681446552276611e+00</treeThreshold>
-          <internalNodes>
-            1 2 174 5.7550000000000000e+02 0 -1 175 338. -2 -3 176
-            1.1515000000000000e+03</internalNodes>
-          <leafValues>
-            -7.6464962959289551e-01 9.0472358465194702e-01
-            6.2902992963790894e-01 -3.9204329252243042e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6334233283996582e+00</treeThreshold>
-          <internalNodes>
-            1 2 177 4167. 0 -1 178 6.5000000000000000e+00 -2 -3 179
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1638332605361938e-01 1.6527870297431946e-01
-            4.8254090547561646e-01 -8.9626789093017578e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9205143451690674e+00</treeThreshold>
-          <internalNodes>
-            1 2 180 6.5000000000000000e+00 0 -1 181
-            1.2500000000000000e+01 -2 -3 182 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.7690986394882202e-01 -2.3904214799404144e-01
-            -4.0556749701499939e-01 2.2106994688510895e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8434190750122070e+00</treeThreshold>
-          <internalNodes>
-            1 2 183 5.0000000000000000e-01 0 -1 184
-            1.3500000000000000e+01 -2 -3 185 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2586407661437988e-01 4.4005537033081055e-01
-            -6.4374852180480957e-01 1.0862501710653305e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7773578166961670e+00</treeThreshold>
-          <internalNodes>
-            1 2 186 1.6500000000000000e+01 0 -1 187
-            9.5000000000000000e+00 -2 -3 188 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3096941709518433e-01 2.3926372826099396e-01
-            5.1413863897323608e-01 -5.5257624387741089e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1896114349365234e+00</treeThreshold>
-          <internalNodes>
-            1 2 189 1.2500000000000000e+01 0 -1 190
-            7.5000000000000000e+00 -2 -3 191 36.</internalNodes>
-          <leafValues>
-            -6.8173252046108246e-02 5.3156542778015137e-01
-            -6.3870549201965332e-01 5.8901703357696533e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1023836135864258e+00</treeThreshold>
-          <internalNodes>
-            1 2 192 6.7500000000000000e+01 0 -1 193
-            8.0500000000000000e+01 -2 -3 194 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7302609980106354e-01 -5.5641782283782959e-01
-            -8.8721150159835815e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.1807246208190918e+00</treeThreshold>
-          <internalNodes>
-            1 2 195 1.5235000000000000e+03 0 -1 196
-            2.6952500000000000e+04 -2 -3 197 1.8235000000000000e+03</internalNodes>
-          <leafValues>
-            -3.0445727705955505e-01 7.7833265066146851e-01
-            8.7232065200805664e-01 -2.4321475625038147e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2723703384399414e+00</treeThreshold>
-          <internalNodes>
-            1 2 198 6.5000000000000000e+00 0 -1 199
-            7.5000000000000000e+00 -2 -3 200 3.4175000000000000e+03</internalNodes>
-          <leafValues>
-            1.3138349354267120e-01 -5.8236575126647949e-01
-            2.2224109619855881e-02 6.9834595918655396e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6446409225463867e+00</treeThreshold>
-          <internalNodes>
-            1 2 201 2.1500000000000000e+01 0 -1 202
-            4.5000000000000000e+00 -2 -3 203 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.9490295648574829e-01 -7.6766520738601685e-01
-            3.7227055430412292e-01 -2.2965273261070251e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2965531349182129e+00</treeThreshold>
-          <internalNodes>
-            1 2 204 3.5000000000000000e+00 0 -1 205
-            1.1500000000000000e+01 -2 -3 206 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8419467806816101e-01 4.3421781063079834e-01
-            -5.4377484321594238e-01 1.9981886446475983e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6640934944152832e+00</treeThreshold>
-          <internalNodes>
-            1 2 207 705. 0 -1 208 1.7500000000000000e+01 -2 -3 209
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.7177429199218750e-01 -8.8838618993759155e-01
-            3.6754038929939270e-01 -1.2962521612644196e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5903968811035156e+00</treeThreshold>
-          <internalNodes>
-            1 2 210 3.4500000000000000e+01 0 -1 211
-            2.2850000000000000e+02 -2 -3 212 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.0602458715438843e-01 -7.7238667011260986e-01
-            4.3168050050735474e-01 -1.4236643910408020e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4601187705993652e+00</treeThreshold>
-          <internalNodes>
-            1 2 213 1.8500000000000000e+01 0 -1 214
-            5.0000000000000000e-01 -2 -3 215 1.6450000000000000e+02</internalNodes>
-          <leafValues>
-            7.2294287383556366e-02 -4.4637727737426758e-01
-            5.0045186281204224e-01 -8.8895571231842041e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6810216903686523e+00</treeThreshold>
-          <internalNodes>
-            1 2 216 1.5000000000000000e+00 0 -1 217
-            3.5000000000000000e+00 -2 -3 218 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5774848461151123e-01 -8.5371148586273193e-01
-            -3.8080200552940369e-01 2.2090284526348114e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5454678535461426e+00</treeThreshold>
-          <internalNodes>
-            1 2 219 5.0000000000000000e-01 0 -1 220
-            2.4500000000000000e+01 -2 -3 221 1.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9623221457004547e-01 9.1209959983825684e-01
-            2.2579464316368103e-01 -3.2021987438201904e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7205095291137695e+00</treeThreshold>
-          <internalNodes>
-            1 2 222 6.8250000000000000e+02 0 -1 223
-            5.8750000000000000e+02 -2 -3 224 4.9250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1928713321685791e-01 4.4073671102523804e-01
-            5.2129870653152466e-01 -9.0712592005729675e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0539321899414062e+00</treeThreshold>
-          <internalNodes>
-            1 2 225 1.5500000000000000e+01 0 -1 226
-            6.3500000000000000e+01 -2 -3 227 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9318233728408813e-01 -3.8358560204505920e-01
-            4.2106309533119202e-01 -5.5091488361358643e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2054772377014160e+00</treeThreshold>
-          <internalNodes>
-            1 2 228 3.1500000000000000e+01 0 -1 229
-            2.3500000000000000e+01 -2 -3 230 3.3750000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1581993103027344e-01 7.1099334955215454e-01
-            2.9412022233009338e-01 -7.1934843063354492e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1629271507263184e+00</treeThreshold>
-          <internalNodes>
-            1 2 231 3.2950000000000000e+02 0 -1 232
-            5.0000000000000000e-01 -2 -3 233 1864.</internalNodes>
-          <leafValues>
-            2.0024216175079346e-01 -3.3125820755958557e-01
-            9.7632443904876709e-01 -8.2965487241744995e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4650130271911621e+00</treeThreshold>
-          <internalNodes>
-            1 2 234 4.0550000000000000e+02 0 -1 235
-            2.7750000000000000e+02 -2 -3 236 5.7155000000000000e+03</internalNodes>
-          <leafValues>
-            2.2284466028213501e-01 -4.8526307940483093e-01
-            8.1116855144500732e-01 -1.5218812972307205e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4984669685363770e+00</treeThreshold>
-          <internalNodes>
-            1 2 237 4.5000000000000000e+00 0 -1 238
-            1.7500000000000000e+01 -2 -3 239 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3221347332000732e-01 3.8014096021652222e-01
-            -6.2983202934265137e-01 1.1483613401651382e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4328503608703613e+00</treeThreshold>
-          <internalNodes>
-            1 2 240 2.2500000000000000e+01 0 -1 241
-            3.2750000000000000e+02 -2 -3 242 5.5250000000000000e+02</internalNodes>
-          <leafValues>
-            2.7665451169013977e-01 -4.1230320930480957e-01
-            5.8497339487075806e-01 -9.2561680078506470e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2271656990051270e+00</treeThreshold>
-          <internalNodes>
-            1 2 243 2.5000000000000000e+00 0 -1 244
-            1.5000000000000000e+00 -2 -3 245 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2440222501754761e-01 3.4950828552246094e-01
-            -4.4587394595146179e-01 3.7627801299095154e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7503991127014160e+00</treeThreshold>
-          <internalNodes>
-            1 2 246 2.5500000000000000e+01 0 -1 247
-            1.7500000000000000e+01 -2 -3 248 1742.</internalNodes>
-          <leafValues>
-            1.7403741180896759e-01 -4.8115825653076172e-01
-            -8.1405687332153320e-01 5.2323335409164429e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9725828170776367e+00</treeThreshold>
-          <internalNodes>
-            1 2 249 2.5000000000000000e+00 0 -1 250
-            1.8750000000000000e+02 -2 -3 251 3.0750000000000000e+02</internalNodes>
-          <leafValues>
-            5.0755202770233154e-01 -9.1562610864639282e-01
-            2.2218362987041473e-01 -5.9081828594207764e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9053583145141602e+00</treeThreshold>
-          <internalNodes>
-            1 2 252 4.4500000000000000e+01 0 -1 253
-            7.5000000000000000e+00 -2 -3 254 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7661845088005066e-01 -7.2863763570785522e-01
-            2.9604527354240417e-01 -3.9353659749031067e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2247257232666016e+00</treeThreshold>
-          <internalNodes>
-            1 2 255 2.7915000000000000e+03 0 -1 256
-            5.0000000000000000e-01 -2 -3 257 2.7750000000000000e+02</internalNodes>
-          <leafValues>
-            5.7657641172409058e-01 -5.8752876520156860e-01
-            7.3920065164566040e-01 -5.6199613958597183e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.3211832046508789e+00</treeThreshold>
-          <internalNodes>
-            1 2 258 1.5000000000000000e+00 0 -1 259
-            1.5950000000000000e+02 -2 -3 260 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.8729599118232727e-01 -8.2186138629913330e-01
-            -7.5912064313888550e-01 -9.1310448944568634e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.1939978599548340e+00</treeThreshold>
-          <internalNodes>
-            1 2 261 5.0000000000000000e-01 0 -1 262
-            1.1500000000000000e+01 -2 -3 263 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.8085348606109619e-01 3.7691861391067505e-01
-            3.6999684572219849e-01 -4.1802382469177246e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5674057006835938e+00</treeThreshold>
-          <internalNodes>
-            1 2 264 4.6500000000000000e+01 0 -1 265
-            1.6500000000000000e+01 -2 -3 266 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4361716583371162e-02 -7.4328392744064331e-01
-            3.7340793013572693e-01 -3.1576988101005554e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4908089637756348e+00</treeThreshold>
-          <internalNodes>
-            1 2 267 6.5000000000000000e+00 0 -1 268
-            1.5000000000000000e+00 -2 -3 269 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.5202457904815674e-01 7.6004970073699951e-01
-            4.0044522285461426e-01 -1.8293106555938721e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7305116653442383e+00</treeThreshold>
-          <internalNodes>
-            1 2 270 1.3450000000000000e+02 0 -1 271 69. -2 -3 272
-            2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7816595286130905e-02 -9.0281504392623901e-01
-            -5.4295367002487183e-01 2.3970291018486023e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8999171257019043e+00</treeThreshold>
-          <internalNodes>
-            1 2 273 2.5000000000000000e+00 0 -1 274
-            2.5000000000000000e+00 -2 -3 275 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0667393207550049e-01 3.6585667729377747e-01
-            3.1221818923950195e-01 -4.8534518480300903e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0018959045410156e+00</treeThreshold>
-          <internalNodes>
-            1 2 276 3.5000000000000000e+00 0 -1 277
-            3.5000000000000000e+00 -2 -3 278 266.</internalNodes>
-          <leafValues>
-            -3.6587709188461304e-01 6.2320345640182495e-01
-            -3.9827787876129150e-01 2.4151444435119629e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1498341560363770e+00</treeThreshold>
-          <internalNodes>
-            1 2 279 6.5000000000000000e+00 0 -1 280
-            3.7500000000000000e+01 -2 -3 281 3.3550000000000000e+02</internalNodes>
-          <leafValues>
-            5.1520365476608276e-01 -6.4510118961334229e-01
-            -4.8505461215972900e-01 1.4793802797794342e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0538568496704102e+00</treeThreshold>
-          <internalNodes>
-            1 2 282 1540. 0 -1 283 2.2500000000000000e+01 -2 -3 284
-            5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.7819830179214478e-01 3.7289941310882568e-01
-            -5.9334021806716919e-01 5.5907440185546875e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3145952224731445e+00</treeThreshold>
-          <internalNodes>
-            1 2 285 5.0000000000000000e-01 0 -1 286
-            5.0500000000000000e+01 -2 -3 287 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.9114875793457031e-01 4.3989965319633484e-01
-            2.9516109824180603e-01 -5.3384852409362793e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2128500938415527e+00</treeThreshold>
-          <internalNodes>
-            1 2 288 7.5000000000000000e+00 0 -1 289
-            8.5000000000000000e+00 -2 -3 290 8.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5619347095489502e-01 5.4719102382659912e-01
-            3.2581725716590881e-01 -6.7037367820739746e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0432367324829102e+00</treeThreshold>
-          <internalNodes>
-            1 2 291 2.5000000000000000e+00 0 -1 292
-            3.5000000000000000e+00 -2 -3 293 1.6805000000000000e+03</internalNodes>
-          <leafValues>
-            -1.8180048465728760e-01 4.9322417378425598e-01
-            1.2089827656745911e-01 -5.3679817914962769e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1085200309753418e+00</treeThreshold>
-          <internalNodes>
-            1 2 294 8.0250000000000000e+02 0 -1 295
-            3.5000000000000000e+00 -2 -3 296 1.5465000000000000e+03</internalNodes>
-          <leafValues>
-            4.4113153219223022e-01 -4.7889050841331482e-01
-            4.8183086514472961e-01 -2.7461019158363342e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4934172630310059e+00</treeThreshold>
-          <internalNodes>
-            1 2 297 5.5000000000000000e+00 0 -1 298
-            9.5000000000000000e+00 -2 -3 299 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.8466171026229858e-01 3.8489729166030884e-01
-            1.2428891658782959e-01 -5.3000146150588989e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7679367065429688e+00</treeThreshold>
-          <internalNodes>
-            1 2 300 4.5000000000000000e+00 0 -1 301
-            3.8500000000000000e+01 -2 -3 302 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8519446849822998e-01 1.3908083736896515e-01
-            3.4237712621688843e-01 -5.5784845352172852e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2031955718994141e+00</treeThreshold>
-          <internalNodes>
-            1 2 303 1.0500000000000000e+01 0 -1 304
-            1.5000000000000000e+00 -2 -3 305 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8500145077705383e-01 4.3525907397270203e-01
-            -7.3580604791641235e-01 -1.5477402135729790e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.8415699005126953e+00</treeThreshold>
-          <internalNodes>
-            1 2 306 1.1500000000000000e+01 0 -1 307
-            1.9950000000000000e+02 -2 -3 308 2.1050000000000000e+02</internalNodes>
-          <leafValues>
-            3.0834931135177612e-01 -5.2214068174362183e-01
-            -6.1229497194290161e-01 1.6261228919029236e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1340169906616211e+00</treeThreshold>
-          <internalNodes>
-            1 2 309 4.4500000000000000e+01 0 -1 310
-            5.0000000000000000e-01 -2 -3 311 2.7750000000000000e+02</internalNodes>
-          <leafValues>
-            3.8989096879959106e-01 -4.0270605683326721e-01
-            -3.7438669800758362e-01 4.9117839336395264e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0494565963745117e+00</treeThreshold>
-          <internalNodes>
-            1 2 312 2.9215000000000000e+03 0 -1 313 5981. -2 -3 314
-            1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4560506045818329e-02 5.6669616699218750e-01
-            -6.5312331914901733e-01 1.4199882745742798e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1713457107543945e+00</treeThreshold>
-          <internalNodes>
-            1 2 315 8.1500000000000000e+01 0 -1 316 66. -2 -3 317 371.</internalNodes>
-          <leafValues>
-            4.5325097441673279e-01 -3.0569469928741455e-01
-            5.9206598997116089e-01 -6.7238986492156982e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2347335815429688e+00</treeThreshold>
-          <internalNodes>
-            1 2 318 4.1450000000000000e+02 0 -1 319
-            5.0000000000000000e-01 -2 -3 320 410.</internalNodes>
-          <leafValues>
-            3.8724437355995178e-01 -3.1869423389434814e-01
-            8.7538170814514160e-01 -9.7314991056919098e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.5628070831298828e+00</treeThreshold>
-          <internalNodes>
-            1 2 321 1.0500000000000000e+01 0 -1 322
-            5.0000000000000000e-01 -2 -3 323 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.2377610206604004e-01 -8.4155076742172241e-01
-            3.2807359099388123e-01 -2.0454038679599762e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5264968872070312e+00</treeThreshold>
-          <internalNodes>
-            1 2 324 9.9150000000000000e+02 0 -1 325
-            7.0350000000000000e+02 -2 -3 326 6.</internalNodes>
-          <leafValues>
-            1.8747280538082123e-01 -3.3632183074951172e-01
-            8.6560744047164917e-01 -9.4016164541244507e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5532627105712891e+00</treeThreshold>
-          <internalNodes>
-            1 2 327 1.1500000000000000e+01 0 -1 328
-            2.7450000000000000e+02 -2 -3 329 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            8.5004931688308716e-01 -8.5131084918975830e-01
-            4.0861058235168457e-01 -1.2481645494699478e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7125473022460938e+00</treeThreshold>
-          <internalNodes>
-            1 2 330 4.9350000000000000e+02 0 -1 331
-            1.0500000000000000e+01 -2 -3 332 488.</internalNodes>
-          <leafValues>
-            3.3095937967300415e-01 -9.6550559997558594e-01
-            1.5928384661674500e-01 -7.0109528303146362e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5748119354248047e+00</treeThreshold>
-          <internalNodes>
-            1 2 333 5.8750000000000000e+02 0 -1 334
-            5.3965000000000000e+03 -2 -3 335 1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2717298269271851e-01 7.5915068387985229e-01
-            6.2651741504669189e-01 -7.6558768749237061e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.5311050415039062e+00</treeThreshold>
-          <internalNodes>
-            1 2 336 3.5000000000000000e+00 0 -1 337
-            1.8500000000000000e+01 -2 -3 338 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9637790918350220e-01 6.7646257579326630e-02
-            6.4769101142883301e-01 -3.3726450055837631e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0640134811401367e+00</treeThreshold>
-          <internalNodes>
-            1 2 339 1.5000000000000000e+00 0 -1 340
-            2.5000000000000000e+00 -2 -3 341 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8097436428070068e-01 6.0266649723052979e-01
-            -3.0453455448150635e-01 4.0144833922386169e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9831085205078125e+00</treeThreshold>
-          <internalNodes>
-            1 2 342 2.5000000000000000e+00 0 -1 343
-            2.1750000000000000e+02 -2 -3 344 3.1850000000000000e+02</internalNodes>
-          <leafValues>
-            9.3521779775619507e-01 -8.8511615991592407e-01
-            -8.0904886126518250e-02 4.7593075037002563e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3769168853759766e+00</treeThreshold>
-          <internalNodes>
-            1 2 345 1.8345000000000000e+03 0 -1 346 7548. -2 -3 347
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6914649009704590e-01 8.2535630464553833e-01
-            9.6199281513690948e-02 -4.2918723821640015e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3018980026245117e+00</treeThreshold>
-          <internalNodes>
-            1 2 348 3.4500000000000000e+01 0 -1 349
-            5.0000000000000000e-01 -2 -3 350 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.7495819330215454e-01 -7.7019518613815308e-01
-            -6.7532777786254883e-01 2.1935020387172699e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5473661422729492e+00</treeThreshold>
-          <internalNodes>
-            1 2 351 3.5000000000000000e+00 0 -1 352
-            3.8150000000000000e+02 -2 -3 353 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4546769261360168e-01 -9.4206953048706055e-01
-            5.2967166900634766e-01 -5.7282263040542603e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3910045623779297e+00</treeThreshold>
-          <internalNodes>
-            1 2 354 4.2500000000000000e+01 0 -1 355
-            2.5000000000000000e+00 -2 -3 356 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.9605733156204224e-01 -8.9919465780258179e-01
-            4.6279174089431763e-01 -1.5636166930198669e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2007036209106445e+00</treeThreshold>
-          <internalNodes>
-            1 2 357 3.0750000000000000e+02 0 -1 358
-            5.0000000000000000e-01 -2 -3 359 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            9.5931455492973328e-02 -5.2677857875823975e-01
-            -6.8146902322769165e-01 4.2670670151710510e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4172534942626953e+00</treeThreshold>
-          <internalNodes>
-            1 2 360 436. 0 -1 361 1.0500000000000000e+01 -2 -3 362
-            1.4150000000000000e+02</internalNodes>
-          <leafValues>
-            -4.8916128277778625e-01 2.1654944121837616e-01
-            -9.5991367101669312e-01 2.0731329917907715e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.3878002166748047e+00</treeThreshold>
-          <internalNodes>
-            1 2 363 2.1500000000000000e+01 0 -1 364
-            5.0000000000000000e-01 -2 -3 365 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.1134243011474609e-01 -1.5622694790363312e-01
-            -2.9453342780470848e-02 -6.6399675607681274e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3314304351806641e+00</treeThreshold>
-          <internalNodes>
-            1 2 366 5.6500000000000000e+01 0 -1 367
-            2.3500000000000000e+01 -2 -3 368 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5016134977340698e-01 6.0379421710968018e-01
-            5.0015795230865479e-01 -5.6369733065366745e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.8574962615966797e+00</treeThreshold>
-          <internalNodes>
-            1 2 369 3.5000000000000000e+00 0 -1 370 2013. -2 -3 371
-            1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            8.2091175019741058e-02 -6.4141482114791870e-01
-            -1.7478708922863007e-01 5.2606624364852905e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0064584732055664e+01</treeThreshold>
-          <internalNodes>
-            1 2 372 2.0650000000000000e+02 0 -1 373
-            1.7500000000000000e+01 -2 -3 374 1.0450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.0901508852839470e-02 -6.5456998348236084e-01
-            6.3896632194519043e-01 -1.6473773121833801e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0252257347106934e+01</treeThreshold>
-          <internalNodes>
-            1 2 375 5.5000000000000000e+00 0 -1 376
-            3.4500000000000000e+01 -2 -3 377 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.2374709844589233e-01 -5.0062644481658936e-01
-            -7.0661611855030060e-02 -7.5508368015289307e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0398225784301758e+01</treeThreshold>
-          <internalNodes>
-            1 2 378 2.5000000000000000e+00 0 -1 379
-            5.2500000000000000e+01 -2 -3 380 1.8785000000000000e+03</internalNodes>
-          <leafValues>
-            -9.0781456232070923e-01 1. -6.3530296087265015e-01
-            1.4596807956695557e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0281527519226074e+01</treeThreshold>
-          <internalNodes>
-            1 2 381 4.8500000000000000e+01 0 -1 382
-            1.2500000000000000e+01 -2 -3 383 2.7950000000000000e+02</internalNodes>
-          <leafValues>
-            1.5367124974727631e-01 -8.4021937847137451e-01
-            4.6640846133232117e-01 -1.1669804900884628e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0402153968811035e+01</treeThreshold>
-          <internalNodes>
-            1 2 384 6.5750000000000000e+02 0 -1 385
-            2.5000000000000000e+00 -2 -3 386 1.2991500000000000e+04</internalNodes>
-          <leafValues>
-            1.8093550205230713e-01 -3.1117281317710876e-01
-            8.3136463165283203e-01 -9.4209736585617065e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0749721527099609e+01</treeThreshold>
-          <internalNodes>
-            1 2 387 1.5500000000000000e+01 0 -1 388 3147. -2 -3 389
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.8778691291809082e-01 -8.4557241201400757e-01
-            3.5276123881340027e-01 -1.5734243392944336e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0613196372985840e+01</treeThreshold>
-          <internalNodes>
-            1 2 390 2.9405000000000000e+03 0 -1 391
-            5.0000000000000000e-01 -2 -3 392 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9040172100067139e-01 -1.3652552664279938e-01
-            -9.2412209510803223e-01 -8.2783259451389313e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0694108009338379e+01</treeThreshold>
-          <internalNodes>
-            1 2 393 5.0500000000000000e+01 0 -1 394
-            5.0000000000000000e-01 -2 -3 395 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.7963955998420715e-01 -7.4252939224243164e-01
-            -6.8665945529937744e-01 1.9869653880596161e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0847300529479980e+01</treeThreshold>
-          <internalNodes>
-            1 2 396 1.4500000000000000e+01 0 -1 397
-            5.5000000000000000e+00 -2 -3 398 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5649849176406860e-01 3.1507906317710876e-01
-            5.9824740886688232e-01 -4.3184515833854675e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0666165351867676e+01</treeThreshold>
-          <internalNodes>
-            1 2 399 2.5000000000000000e+00 0 -1 400
-            4.5000000000000000e+00 -2 -3 401 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.0361318588256836e-01 4.3227225542068481e-01
-            3.5962799191474915e-01 -4.3973237276077271e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0870504379272461e+01</treeThreshold>
-          <internalNodes>
-            1 2 402 2.6500000000000000e+01 0 -1 403
-            1.5000000000000000e+00 -2 -3 404 8.4500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6933162510395050e-01 -5.0010979175567627e-01
-            -3.3642402291297913e-01 4.9337503314018250e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0975853919982910e+01</treeThreshold>
-          <internalNodes>
-            1 2 405 2.5000000000000000e+00 0 -1 406
-            1.4795000000000000e+03 -2 -3 407 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.9212744235992432e-02 -6.0414147377014160e-01
-            5.3754031658172607e-01 -1.4943325519561768e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1088579177856445e+01</treeThreshold>
-          <internalNodes>
-            1 2 408 1.9500000000000000e+01 0 -1 409
-            8.0500000000000000e+01 -2 -3 410 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.4455469362437725e-03 7.1131867170333862e-01
-            1.2728694081306458e-01 -5.3219115734100342e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1411317825317383e+01</treeThreshold>
-          <internalNodes>
-            1 2 411 6.5000000000000000e+00 0 -1 412
-            5.0000000000000000e-01 -2 -3 413 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.8449540138244629e-01 7.5238209962844849e-01
-            3.2273903489112854e-01 -2.0153416693210602e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1409852027893066e+01</treeThreshold>
-          <internalNodes>
-            1 2 414 3.2650000000000000e+02 0 -1 415
-            4.5000000000000000e+00 -2 -3 416 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5437091886997223e-01 -3.4433943033218384e-01
-            8.3089745044708252e-01 -8.7578713893890381e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1487524032592773e+01</treeThreshold>
-          <internalNodes>
-            1 2 417 9.4500000000000000e+01 0 -1 418
-            5.3150000000000000e+02 -2 -3 419 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.5558461248874664e-02 -7.0222413539886475e-01
-            4.5731905102729797e-01 -1.0453109443187714e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1415844917297363e+01</treeThreshold>
-          <internalNodes>
-            1 2 420 2.0350000000000000e+02 0 -1 421
-            5.1500000000000000e+01 -2 -3 422 1.4350000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8595420122146606e-02 -8.2399624586105347e-01
-            7.0543432235717773e-01 8.3339767297729850e-04</leafValues></_>
-        <_>
-          <treeThreshold>1.1137701034545898e+01</treeThreshold>
-          <internalNodes>
-            1 2 423 1.1500000000000000e+01 0 -1 424
-            2.7850000000000000e+02 -2 -3 425 1231.</internalNodes>
-          <leafValues>
-            2.5673583149909973e-01 -2.7814364433288574e-01
-            7.7550095319747925e-01 -6.8776667118072510e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1352587699890137e+01</treeThreshold>
-          <internalNodes>
-            1 2 426 1.5000000000000000e+00 0 -1 427
-            4.2500000000000000e+01 -2 -3 428 436.</internalNodes>
-          <leafValues>
-            -8.6447370052337646e-01 3.8263612985610962e-01
-            2.1488623321056366e-01 -6.5995728969573975e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1502726554870605e+01</treeThreshold>
-          <internalNodes>
-            1 2 429 4.5000000000000000e+00 0 -1 430
-            8.9500000000000000e+01 -2 -3 431 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1148355007171631e-01 4.3896585702896118e-01
-            -4.8310482501983643e-01 1.8991161882877350e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1872124671936035e+01</treeThreshold>
-          <internalNodes>
-            1 2 432 5.0000000000000000e-01 0 -1 433
-            4.5000000000000000e+00 -2 -3 434 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1016438007354736e-01 3.6939758062362671e-01
-            1.1107332259416580e-01 -6.3128584623336792e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1897380828857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 435 1.5000000000000000e+00 0 -1 436
-            8.5000000000000000e+00 -2 -3 437 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3261368274688721e-01 5.7636475563049316e-01
-            -4.3446037173271179e-01 2.1413095295429230e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1853853225708008e+01</treeThreshold>
-          <internalNodes>
-            1 2 438 3706. 0 -1 439 1.5000000000000000e+00 -2 -3 440
-            4410.</internalNodes>
-          <leafValues>
-            5.6994712352752686e-01 -4.3527409434318542e-02
-            -7.2693550586700439e-01 4.1713526844978333e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1845816612243652e+01</treeThreshold>
-          <internalNodes>
-            1 2 441 6.5000000000000000e+00 0 -1 442
-            1.5500000000000000e+01 -2 -3 443 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0371825024485588e-03 -5.7360154390335083e-01
-            5.8637946844100952e-01 -4.5183259248733521e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1606418609619141e+01</treeThreshold>
-          <internalNodes>
-            1 2 444 5.7500000000000000e+01 0 -1 445
-            1.3650000000000000e+02 -2 -3 446 3.3595000000000000e+03</internalNodes>
-          <leafValues>
-            4.9911895394325256e-01 -5.3746724128723145e-01
-            -2.3939760029315948e-01 3.7778580188751221e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1980805397033691e+01</treeThreshold>
-          <internalNodes>
-            1 2 447 4.5000000000000000e+00 0 -1 448
-            3.5000000000000000e+00 -2 -3 449 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3552447557449341e-01 3.7438639998435974e-01
-            -4.0720772743225098e-01 4.5558989048004150e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2240980148315430e+01</treeThreshold>
-          <internalNodes>
-            1 2 450 2.0950000000000000e+02 0 -1 451
-            3.5000000000000000e+00 -2 -3 452 2.0450000000000000e+02</internalNodes>
-          <leafValues>
-            2.6017466187477112e-01 -4.3274480104446411e-01
-            6.6186487674713135e-01 -1.9433960318565369e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1877487182617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 453 8.7500000000000000e+01 0 -1 454
-            3.3500000000000000e+01 -2 -3 455 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6349293589591980e-01 2.8466138243675232e-01
-            -8.9488905668258667e-01 2.0050047338008881e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2315251350402832e+01</treeThreshold>
-          <internalNodes>
-            1 2 456 6.5000000000000000e+00 0 -1 457
-            2.8500000000000000e+01 -2 -3 458 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2718878388404846e-01 4.3776413798332214e-01
-            -4.0096122026443481e-01 4.4375243782997131e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2738058090209961e+01</treeThreshold>
-          <internalNodes>
-            1 2 459 2.5000000000000000e+00 0 -1 460
-            5.5000000000000000e+00 -2 -3 461 4.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 4.2698940634727478e-01 1.3992704451084137e-01
-            -4.4792297482490540e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2678054809570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 462 4.6035000000000000e+03 0 -1 463
-            1.2500000000000000e+01 -2 -3 464 1.6885000000000000e+03</internalNodes>
-          <leafValues>
-            -6.3804382085800171e-01 2.8076967597007751e-01
-            7.0788478851318359e-01 -6.0002621263265610e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.2586655616760254e+01</treeThreshold>
-          <internalNodes>
-            1 2 465 2.1150000000000000e+02 0 -1 466
-            3.5000000000000000e+00 -2 -3 467 3.1365000000000000e+03</internalNodes>
-          <leafValues>
-            3.2408985495567322e-01 -3.3107626438140869e-01
-            8.7245899438858032e-01 -1.1116035282611847e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2680603027343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 468 2.2500000000000000e+01 0 -1 469
-            4.5500000000000000e+01 -2 -3 470 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3947365880012512e-02 -5.0669384002685547e-01
-            6.3860702514648438e-01 -5.6095314025878906e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2646597862243652e+01</treeThreshold>
-          <internalNodes>
-            1 2 471 5.7750000000000000e+02 0 -1 472 2607. -2 -3 473
-            8.4850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0222898721694946e-01 4.9571409821510315e-01
-            6.9677603244781494e-01 -3.4005377441644669e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.3080556869506836e+01</treeThreshold>
-          <internalNodes>
-            1 2 474 3.5000000000000000e+00 0 -1 475
-            2.9025000000000000e+03 -2 -3 476 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.3582272268831730e-03 -7.6159459352493286e-01
-            4.4750732183456421e-01 -1.8545417487621307e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3341848373413086e+01</treeThreshold>
-          <internalNodes>
-            1 2 477 2.5000000000000000e+00 0 -1 478
-            1.3500000000000000e+01 -2 -3 479 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.0977507829666138e-01 3.4295764565467834e-01
-            9.3431934714317322e-02 -7.1162647008895874e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2996747970581055e+01</treeThreshold>
-          <internalNodes>
-            1 2 480 5.5000000000000000e+00 0 -1 481
-            6.5000000000000000e+00 -2 -3 482 3.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -5.9179306030273438e-01 5.3183627128601074e-01
-            2.9362958669662476e-01 -5.2066570520401001e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3275168418884277e+01</treeThreshold>
-          <internalNodes>
-            1 2 483 5.0000000000000000e-01 0 -1 484
-            5.8550000000000000e+02 -2 -3 485 1.2025000000000000e+03</internalNodes>
-          <leafValues>
-            -4.2056784033775330e-01 5.3556817770004272e-01
-            5.9011709690093994e-01 -3.4758779406547546e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3466418266296387e+01</treeThreshold>
-          <internalNodes>
-            1 2 486 5.5000000000000000e+00 0 -1 487
-            5.0000000000000000e-01 -2 -3 488 14734.</internalNodes>
-          <leafValues>
-            4.4770663976669312e-01 -8.6989867687225342e-01
-            1.9124945998191833e-01 -7.6927727460861206e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3708694458007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 489 3.5150000000000000e+02 0 -1 490
-            2.4500000000000000e+01 -2 -3 491 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4361712932586670e-01 -9.3802767992019653e-01
-            2.4227620661258698e-01 -3.2380709052085876e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3621360778808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 492 1.5750000000000000e+02 0 -1 493 45. -2 -3 494
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.8756289482116699e-01 -6.2756335735321045e-01
-            5.6488978862762451e-01 -8.7333582341670990e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.3719803810119629e+01</treeThreshold>
-          <internalNodes>
-            1 2 495 1.4500000000000000e+01 0 -1 496
-            3.2785000000000000e+03 -2 -3 497 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3579055964946747e-02 -9.0902733802795410e-01
-            4.0620484948158264e-01 -2.2033128142356873e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3743362426757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 498 1.7500000000000000e+01 0 -1 499
-            2.5500000000000000e+01 -2 -3 500 446.</internalNodes>
-          <leafValues>
-            5.8430969715118408e-02 -5.6837719678878784e-01
-            -1.8840381503105164e-01 6.9564127922058105e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3924007415771484e+01</treeThreshold>
-          <internalNodes>
-            1 2 501 8.0450000000000000e+02 0 -1 502
-            4.0500000000000000e+01 -2 -3 503 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7573506832122803e-01 2.6540222764015198e-01
-            -3.4159180521965027e-01 5.4993849992752075e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4126693725585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 504 2.5000000000000000e+00 0 -1 505 3876. -2 -3 506
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1770899295806885e-01 -3.8963168859481812e-01
-            1.9346395134925842e-01 -5.6205403804779053e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4377063751220703e+01</treeThreshold>
-          <internalNodes>
-            1 2 507 1.0630500000000000e+04 0 -1 508
-            1.7500000000000000e+01 -2 -3 509 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.2469942569732666e-01 -6.3991433382034302e-01
-            7.5341060757637024e-02 -5.3553485870361328e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4237608909606934e+01</treeThreshold>
-          <internalNodes>
-            1 2 510 5.7500000000000000e+01 0 -1 511
-            6.5000000000000000e+00 -2 -3 512 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4694686084985733e-02 -5.2880686521530151e-01
-            -3.4901857376098633e-01 4.7299972176551819e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4564194679260254e+01</treeThreshold>
-          <internalNodes>
-            1 2 513 7.5000000000000000e+00 0 -1 514
-            8.5000000000000000e+00 -2 -3 515 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7572060823440552e-01 4.0378063917160034e-01
-            1.7233282327651978e-01 -5.5302166938781738e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4479125976562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 516 4.1500000000000000e+01 0 -1 517
-            5.0000000000000000e-01 -2 -3 518 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9208496809005737e-01 -9.3342530727386475e-01
-            4.8711183667182922e-01 -8.5068866610527039e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.4771840095520020e+01</treeThreshold>
-          <internalNodes>
-            1 2 519 3.2350000000000000e+02 0 -1 520
-            6.8500000000000000e+01 -2 -3 521 2.9050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6921553611755371e-01 7.5075703859329224e-01
-            3.0680647492408752e-01 -5.3018033504486084e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4921194076538086e+01</treeThreshold>
-          <internalNodes>
-            1 2 522 9.5000000000000000e+00 0 -1 523 178. -2 -3 524
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7555197477340698e-01 -8.4987080097198486e-01
-            7.1478825807571411e-01 -4.7535741329193115e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5011672019958496e+01</treeThreshold>
-          <internalNodes>
-            1 2 525 3.5500000000000000e+01 0 -1 526
-            4.9450000000000000e+02 -2 -3 527 151.</internalNodes>
-          <leafValues>
-            -4.1447910666465759e-01 9.0478152036666870e-02
-            7.2348231077194214e-01 -8.4134203195571899e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5009381294250488e+01</treeThreshold>
-          <internalNodes>
-            1 2 528 1.0075000000000000e+03 0 -1 529
-            4.6135000000000000e+03 -2 -3 530 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.3591668009757996e-01 5.0908648967742920e-01
-            4.3699756264686584e-02 -6.3745105266571045e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4872577667236328e+01</treeThreshold>
-          <internalNodes>
-            1 2 531 4.9500000000000000e+01 0 -1 532
-            7.5000000000000000e+00 -2 -3 533 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5888742208480835e-02 -5.8190774917602539e-01
-            -7.9333829879760742e-01 5.4325503110885620e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5080644607543945e+01</treeThreshold>
-          <internalNodes>
-            1 2 534 4.7500000000000000e+01 0 -1 535
-            1.4500000000000000e+01 -2 -3 536 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9569383859634399e-01 2.0806635916233063e-01
-            -7.5062823295593262e-01 2.4852557480335236e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5080853462219238e+01</treeThreshold>
-          <internalNodes>
-            1 2 537 6.5000000000000000e+00 0 -1 538
-            8.5000000000000000e+00 -2 -3 539 3.8050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1480957269668579e-01 3.2939058542251587e-01
-            4.0805706381797791e-01 -4.6099272370338440e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4875501632690430e+01</treeThreshold>
-          <internalNodes>
-            1 2 540 1.0500000000000000e+01 0 -1 541
-            1.5000000000000000e+00 -2 -3 542 478.</internalNodes>
-          <leafValues>
-            -9.0150666236877441e-01 3.4228125214576721e-01
-            -5.9740513563156128e-01 8.7162934243679047e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5382561683654785e+01</treeThreshold>
-          <internalNodes>
-            1 2 543 5.5000000000000000e+00 0 -1 544
-            5.0000000000000000e-01 -2 -3 545 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2944935560226440e-01 5.0705975294113159e-01
-            -3.9558005332946777e-01 3.1945833563804626e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5631669998168945e+01</treeThreshold>
-          <internalNodes>
-            1 2 546 1.5000000000000000e+00 0 -1 547
-            1.1500000000000000e+01 -2 -3 548 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0148051977157593e-01 3.6997869610786438e-01
-            7.7569979429244995e-01 -3.7318921089172363e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5227413177490234e+01</treeThreshold>
-          <internalNodes>
-            1 2 549 5.5000000000000000e+00 0 -1 550
-            2.5000000000000000e+00 -2 -3 551 8.2500000000000000e+01</internalNodes>
-          <leafValues>
-            9.7206316888332367e-02 -5.2512657642364502e-01
-            5.3593277931213379e-01 -5.2903693914413452e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5712855339050293e+01</treeThreshold>
-          <internalNodes>
-            1 2 552 1.5000000000000000e+00 0 -1 553
-            1.1500000000000000e+01 -2 -3 554 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5320370197296143e-01 5.5974000692367554e-01
-            -4.7809949517250061e-01 1.2362124770879745e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5475475311279297e+01</treeThreshold>
-          <internalNodes>
-            1 2 555 1.1150000000000000e+02 0 -1 556 107. -2 -3 557
-            5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2000953555107117e-01 -5.7901185750961304e-01
-            5.5795150995254517e-01 -2.0629312098026276e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5877110481262207e+01</treeThreshold>
-          <internalNodes>
-            1 2 558 5.0000000000000000e-01 0 -1 559
-            4.7500000000000000e+01 -2 -3 560 4.0850000000000000e+02</internalNodes>
-          <leafValues>
-            4.0163558721542358e-01 -6.5443444252014160e-01
-            3.9427250623703003e-01 -4.3203008174896240e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5799601554870605e+01</treeThreshold>
-          <internalNodes>
-            1 2 561 2.0250000000000000e+02 0 -1 562
-            5.0000000000000000e-01 -2 -3 563 2399.</internalNodes>
-          <leafValues>
-            1.2356969714164734e-01 -5.3489917516708374e-01
-            4.6495470404624939e-01 -5.8487701416015625e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6042089462280273e+01</treeThreshold>
-          <internalNodes>
-            1 2 564 7.0450000000000000e+02 0 -1 565
-            4.4500000000000000e+01 -2 -3 566 288.</internalNodes>
-          <leafValues>
-            4.8793616890907288e-01 -8.4778493642807007e-01
-            -4.3374565243721008e-01 2.4248743057250977e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6111749649047852e+01</treeThreshold>
-          <internalNodes>
-            1 2 567 1.8500000000000000e+01 0 -1 568
-            1.2500000000000000e+01 -2 -3 569 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.8669865727424622e-01 2.7788683772087097e-01
-            3.6192622780799866e-01 -5.7420414686203003e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6021078109741211e+01</treeThreshold>
-          <internalNodes>
-            1 2 570 8.3450000000000000e+02 0 -1 571 4451. -2 -3 572
-            3.2950000000000000e+02</internalNodes>
-          <leafValues>
-            5.3921067714691162e-01 -4.8135292530059814e-01
-            -2.9889726638793945e-01 6.0160857439041138e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6436674118041992e+01</treeThreshold>
-          <internalNodes>
-            1 2 573 1.2500000000000000e+01 0 -1 574
-            6.5000000000000000e+00 -2 -3 575 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3214797973632812e-01 -2.8101849555969238e-01
-            6.6012543439865112e-01 -7.0270007848739624e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6612668991088867e+01</treeThreshold>
-          <internalNodes>
-            1 2 576 4.4500000000000000e+01 0 -1 577 3724. -2 -3 578
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.2758970260620117e-01 -5.7332456111907959e-01
-            -7.3119300603866577e-01 2.5508829951286316e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6793443679809570e+01</treeThreshold>
-          <internalNodes>
-            1 2 579 1.5000000000000000e+00 0 -1 580
-            2.5500000000000000e+01 -2 -3 581 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3251662254333496e-01 4.4916898012161255e-01
-            4.5003961771726608e-02 -5.9809100627899170e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6161096572875977e+01</treeThreshold>
-          <internalNodes>
-            1 2 582 1.5000000000000000e+00 0 -1 583
-            1.5000000000000000e+00 -2 -3 584 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4945521354675293e-01 6.5612715482711792e-01
-            -6.3234704732894897e-01 7.2132863104343414e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.6042703628540039e+01</treeThreshold>
-          <internalNodes>
-            1 2 585 2.7500000000000000e+01 0 -1 586
-            1.3500000000000000e+01 -2 -3 587 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1839324980974197e-01 3.9118841290473938e-01
-            2.9518869519233704e-01 -8.5212147235870361e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6447755813598633e+01</treeThreshold>
-          <internalNodes>
-            1 2 588 5.0000000000000000e-01 0 -1 589
-            5.0000000000000000e-01 -2 -3 590 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.3366543054580688e-01 4.0505367517471313e-01
-            4.8622503876686096e-02 -5.6565636396408081e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7133924484252930e+01</treeThreshold>
-          <internalNodes>
-            1 2 591 2.0350000000000000e+02 0 -1 592 334. -2 -3 593
-            3.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -3.5271939635276794e-01 8.6447751522064209e-01
-            7.1061849594116211e-01 -1.1952371150255203e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6702384948730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 594 4.5000000000000000e+00 0 -1 595
-            2.8500000000000000e+01 -2 -3 596 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9405979216098785e-02 6.6947597265243530e-01
-            -4.9912232160568237e-01 1.0251764953136444e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7397886276245117e+01</treeThreshold>
-          <internalNodes>
-            1 2 597 2.2450000000000000e+02 0 -1 598 42. -2 -3 599
-            4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.0597994327545166e-01 -9.4353288412094116e-01
-            -6.9157105684280396e-01 2.2714031860232353e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7262920379638672e+01</treeThreshold>
-          <internalNodes>
-            1 2 600 3.1500000000000000e+01 0 -1 601
-            1.0450000000000000e+02 -2 -3 602 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.3496619462966919e-01 4.4948977231979370e-01
-            1.4885289967060089e-01 -8.6381590366363525e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7465213775634766e+01</treeThreshold>
-          <internalNodes>
-            1 2 603 1.4500000000000000e+01 0 -1 604
-            2.5000000000000000e+00 -2 -3 605 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.1829992532730103e-01 3.5132697224617004e-01
-            4.2205992341041565e-01 -4.3211916089057922e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7307765960693359e+01</treeThreshold>
-          <internalNodes>
-            1 2 606 5.5000000000000000e+00 0 -1 607
-            1.6500000000000000e+01 -2 -3 608 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.3471553921699524e-01 5.3184741735458374e-01
-            1.5001934766769409e-01 -5.0502711534500122e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7614244461059570e+01</treeThreshold>
-          <internalNodes>
-            1 2 609 2.1950000000000000e+02 0 -1 610
-            3.5000000000000000e+00 -2 -3 611 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.3997812271118164e-01 -9.3997251987457275e-01
-            3.0647855997085571e-01 -2.0921668410301208e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7706068038940430e+01</treeThreshold>
-          <internalNodes>
-            1 2 612 5.7500000000000000e+01 0 -1 613
-            5.5450000000000000e+02 -2 -3 614 6271.</internalNodes>
-          <leafValues>
-            2.8178128600120544e-01 -6.5705215930938721e-01
-            2.1660777926445007e-01 -8.9905387163162231e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7754480361938477e+01</treeThreshold>
-          <internalNodes>
-            1 2 615 5.0000000000000000e-01 0 -1 616
-            1.6500000000000000e+01 -2 -3 617 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.6525924205780029e-01 5.8488470315933228e-01
-            2.6185688376426697e-01 -3.7666809558868408e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7758506774902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 618 5.8750000000000000e+02 0 -1 619
-            5.0000000000000000e-01 -2 -3 620 7.9050000000000000e+02</internalNodes>
-          <leafValues>
-            6.1497175693511963e-01 -5.2589684724807739e-01
-            5.6739014387130737e-01 -1.2997034192085266e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8137268066406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 621 1.2500000000000000e+01 0 -1 622
-            2.7500000000000000e+01 -2 -3 623 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7133096009492874e-02 -7.4169838428497314e-01
-            -5.5511766672134399e-01 3.7876096367835999e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8127597808837891e+01</treeThreshold>
-          <internalNodes>
-            1 2 624 1.3500000000000000e+01 0 -1 625
-            1.6500000000000000e+01 -2 -3 626 7.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -9.9238857626914978e-02 5.2959042787551880e-01
-            1.2502020597457886e-01 -6.9074809551239014e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8081335067749023e+01</treeThreshold>
-          <internalNodes>
-            1 2 627 1.2500000000000000e+01 0 -1 628 2. -2 -3 629
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.4234240055084229e-01 1. 3.8502028584480286e-01
-            -1.8359494209289551e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8053295135498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 630 2.7500000000000000e+01 0 -1 631
-            5.9500000000000000e+01 -2 -3 632 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9844527244567871e-01 2.2154885530471802e-01
-            1.6719245910644531e-01 -8.5411649942398071e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8328479766845703e+01</treeThreshold>
-          <internalNodes>
-            1 2 633 1.2564500000000000e+04 0 -1 634
-            4.5000000000000000e+00 -2 -3 635 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1779359579086304e-01 3.0374595522880554e-01
-            -7.3483371734619141e-01 7.6394975185394287e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.8571502685546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 636 2.5000000000000000e+00 0 -1 637
-            2.6750000000000000e+02 -2 -3 638 6.4350000000000000e+02</internalNodes>
-          <leafValues>
-            -8.5374289751052856e-01 4.6067333221435547e-01
-            -4.1071122884750366e-01 3.6673283576965332e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8682445526123047e+01</treeThreshold>
-          <internalNodes>
-            1 2 639 2.0650000000000000e+02 0 -1 640
-            4.2500000000000000e+01 -2 -3 641 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.0848436355590820e-01 2.4837252497673035e-01
-            -6.5386766195297241e-01 4.2162042856216431e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8954551696777344e+01</treeThreshold>
-          <internalNodes>
-            1 2 642 6.5000000000000000e+00 0 -1 643
-            3.0500000000000000e+01 -2 -3 644 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9916085004806519e-01 2.7210691571235657e-01
-            -1.1765263974666595e-01 -8.1677961349487305e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8866088867187500e+01</treeThreshold>
-          <internalNodes>
-            1 2 645 1.5000000000000000e+00 0 -1 646
-            6.5000000000000000e+00 -2 -3 647 1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            5.0670212507247925e-01 -2.6341021060943604e-01
-            -4.3560948967933655e-01 3.6474627256393433e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8741416931152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 648 4.1500000000000000e+01 0 -1 649
-            6.5000000000000000e+00 -2 -3 650 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2751459181308746e-02 -6.6522449254989624e-01
-            3.3934053778648376e-01 -4.9355345964431763e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8643299102783203e+01</treeThreshold>
-          <internalNodes>
-            1 2 651 5.9775000000000000e+03 0 -1 652
-            1.8165000000000000e+03 -2 -3 653 1.4355000000000000e+03</internalNodes>
-          <leafValues>
-            5.5302268266677856e-01 -4.7563236951828003e-01
-            6.5803569555282593e-01 -9.8118394613265991e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.8880964279174805e+01</treeThreshold>
-          <internalNodes>
-            1 2 654 1.2650000000000000e+02 0 -1 655
-            2.5000000000000000e+00 -2 -3 656 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5744998455047607e-01 2.8973925113677979e-01
-            -5.4551291465759277e-01 8.2080578804016113e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8557128906250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 657 4.6500000000000000e+01 0 -1 658 1647. -2 -3 659
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0912799835205078e-01 -8.0168753862380981e-01
-            3.0439880490303040e-01 -3.2383540272712708e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9214336395263672e+01</treeThreshold>
-          <internalNodes>
-            1 2 660 1.6085000000000000e+03 0 -1 661
-            2.0950000000000000e+02 -2 -3 662 2.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.6497074365615845e-01 7.4361735582351685e-01
-            7.8719192743301392e-01 -1.0578166693449020e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.9558198928833008e+01</treeThreshold>
-          <internalNodes>
-            1 2 663 5.5000000000000000e+00 0 -1 664 141. -2 -3 665
-            1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0406695008277893e-01 -7.0202612876892090e-01
-            -4.2011860013008118e-01 6.0265243053436279e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9143066406250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 666 1.1500000000000000e+01 0 -1 667
-            8.5000000000000000e+00 -2 -3 668 2.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -4.1513276100158691e-01 4.5337858796119690e-01
-            3.6399593949317932e-01 -7.8625452518463135e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9362360000610352e+01</treeThreshold>
-          <internalNodes>
-            1 2 669 3.1500000000000000e+01 0 -1 670
-            3.5000000000000000e+00 -2 -3 671 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3197765350341797e-01 2.7408641576766968e-01
-            -6.3501793146133423e-01 4.3600288033485413e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9299673080444336e+01</treeThreshold>
-          <internalNodes>
-            1 2 672 3.5000000000000000e+00 0 -1 673
-            1.3500000000000000e+01 -2 -3 674 6918.</internalNodes>
-          <leafValues>
-            -4.8876148462295532e-01 4.8771849274635315e-01
-            -3.5163021087646484e-01 5.7008403539657593e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9273160934448242e+01</treeThreshold>
-          <internalNodes>
-            1 2 675 4.2150000000000000e+02 0 -1 676
-            2.2035000000000000e+03 -2 -3 677 4125.</internalNodes>
-          <leafValues>
-            -1. 4.3742546439170837e-01 -6.3171046972274780e-01
-            -1.2324055656790733e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.9674695968627930e+01</treeThreshold>
-          <internalNodes>
-            1 2 678 5.0000000000000000e-01 0 -1 679
-            1.0500000000000000e+01 -2 -3 680 6.7150000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4401791393756866e-01 5.4219561815261841e-01
-            4.5299509167671204e-01 -4.0972766280174255e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9536827087402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 681 80. 0 -1 682 9.5000000000000000e+00 -2 -3 683
-            1.1950000000000000e+02</internalNodes>
-          <leafValues>
-            9.7771358489990234e-01 -1. -2.7852934598922729e-01
-            3.1141099333763123e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9679944992065430e+01</treeThreshold>
-          <internalNodes>
-            1 2 684 5.5000000000000000e+00 0 -1 685
-            5.5000000000000000e+00 -2 -3 686 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4437903761863708e-01 4.5901042222976685e-01
-            1.4311666786670685e-01 -5.8588796854019165e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9943355560302734e+01</treeThreshold>
-          <internalNodes>
-            1 2 687 2.9500000000000000e+01 0 -1 688
-            6.5000000000000000e+00 -2 -3 689 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8437657356262207e-01 2.6341116428375244e-01
-            -6.2989181280136108e-01 2.0000371336936951e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9625724792480469e+01</treeThreshold>
-          <internalNodes>
-            1 2 690 2.0850000000000000e+02 0 -1 691
-            2.3305000000000000e+03 -2 -3 692 866.</internalNodes>
-          <leafValues>
-            -3.1762993335723877e-01 5.5581647157669067e-01
-            5.3226226568222046e-01 -4.7602936625480652e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9914857864379883e+01</treeThreshold>
-          <internalNodes>
-            1 2 693 8.7850000000000000e+02 0 -1 694
-            6.5050000000000000e+02 -2 -3 695 1.2605000000000000e+03</internalNodes>
-          <leafValues>
-            2.8913190960884094e-01 -8.0038177967071533e-01
-            -7.6349312067031860e-01 1.2914163060486317e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.0337768554687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 696 1.8500000000000000e+01 0 -1 697 51. -2 -3 698
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.0884056389331818e-01 -6.6362190246582031e-01
-            4.8303022980690002e-01 -1.5653999149799347e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0547544479370117e+01</treeThreshold>
-          <internalNodes>
-            1 2 699 5.5000000000000000e+00 0 -1 700
-            4.4500000000000000e+01 -2 -3 701 52.</internalNodes>
-          <leafValues>
-            -5.9065473079681396e-01 2.0977459847927094e-01
-            -7.6793259382247925e-01 5.2228933572769165e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0560253143310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 702 4.5000000000000000e+00 0 -1 703
-            2.4650000000000000e+02 -2 -3 704 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            4.7756865620613098e-01 -6.9306534528732300e-01
-            -4.7408469021320343e-02 -7.5790488719940186e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0091964721679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 705 3.8500000000000000e+01 0 -1 706
-            5.0000000000000000e-01 -2 -3 707 458.</internalNodes>
-          <leafValues>
-            4.1837117075920105e-01 -5.6005704402923584e-01
-            -4.6829015016555786e-01 3.3648452162742615e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0445671081542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 708 4.5000000000000000e+00 0 -1 709
-            2.7895000000000000e+03 -2 -3 710 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6157336831092834e-01 3.5370638966560364e-01
-            -5.6435430049896240e-01 6.2603580951690674e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0708145141601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 711 1.1245000000000000e+03 0 -1 712
-            4.5000000000000000e+00 -2 -3 713 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9924837350845337e-01 4.3067482113838196e-01
-            -4.2009061574935913e-01 2.6247435808181763e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1024463653564453e+01</treeThreshold>
-          <internalNodes>
-            1 2 714 5.5000000000000000e+00 0 -1 715
-            1.1500000000000000e+01 -2 -3 716 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.0043709278106689e-01 3.1631988286972046e-01
-            -5.1429873704910278e-01 2.7576768398284912e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0803630828857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 717 5.8750000000000000e+02 0 -1 718 3981. -2 -3 719
-            1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.4785442352294922e-01 7.9078370332717896e-01
-            6.8359661102294922e-01 -2.8464736416935921e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1062959671020508e+01</treeThreshold>
-          <internalNodes>
-            1 2 720 2.5000000000000000e+00 0 -1 721
-            1.5000000000000000e+00 -2 -3 722 3.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.4614498615264893e-01 7.4008464813232422e-01
-            -2.5458994507789612e-01 4.7160488367080688e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1148992538452148e+01</treeThreshold>
-          <internalNodes>
-            1 2 723 2.5000000000000000e+00 0 -1 724
-            1.9500000000000000e+01 -2 -3 725 1.1365000000000000e+03</internalNodes>
-          <leafValues>
-            -7.9459643363952637e-01 4.0373617410659790e-01
-            1.7909039556980133e-01 -4.8390582203865051e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1316343307495117e+01</treeThreshold>
-          <internalNodes>
-            1 2 726 596. 0 -1 727 2.9500000000000000e+01 -2 -3 728
-            9.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1621825695037842e-01 2.6443120837211609e-01
-            -7.2724926471710205e-01 3.8569703698158264e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1407173156738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 729 3.5000000000000000e+00 0 -1 730
-            1.2500000000000000e+01 -2 -3 731 1.6250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2135920524597168e-01 3.0805602669715881e-01
-            -5.1675158739089966e-01 8.4476417303085327e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1468662261962891e+01</treeThreshold>
-          <internalNodes>
-            1 2 732 2.5000000000000000e+00 0 -1 733
-            9.5000000000000000e+00 -2 -3 734 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.6017938852310181e-01 -8.2636475563049316e-02
-            5.0263375043869019e-01 -6.4655619859695435e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1531848907470703e+01</treeThreshold>
-          <internalNodes>
-            1 2 735 1.6500000000000000e+01 0 -1 736
-            1.5000000000000000e+00 -2 -3 737 132.</internalNodes>
-          <leafValues>
-            6.3187964260578156e-02 -4.6502736210823059e-01
-            -5.3921943902969360e-01 6.6515022516250610e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1421955108642578e+01</treeThreshold>
-          <internalNodes>
-            1 2 738 1.4500000000000000e+01 0 -1 739
-            5.5000000000000000e+00 -2 -3 740 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.3170220851898193e-01 -7.9929661750793457e-01
-            4.2181393504142761e-01 -1.0989431291818619e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1327116012573242e+01</treeThreshold>
-          <internalNodes>
-            1 2 741 3.5000000000000000e+00 0 -1 742 35. -2 -3 743
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3855998516082764e-01 4.6628227829933167e-01
-            4.7352400422096252e-01 -9.4839885830879211e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1836402893066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 744 1.7500000000000000e+01 0 -1 745 555. -2 -3 746
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3723833560943604e-01 -9.0897613763809204e-01
-            -7.3575176298618317e-02 5.0928729772567749e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2053348541259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 747 5.0000000000000000e-01 0 -1 748
-            1.6500000000000000e+01 -2 -3 749 6.5850000000000000e+02</internalNodes>
-          <leafValues>
-            3.9292082190513611e-01 -5.4508280754089355e-01
-            -3.8765028119087219e-01 7.9302084445953369e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2000936508178711e+01</treeThreshold>
-          <internalNodes>
-            1 2 750 1.2495000000000000e+03 0 -1 751
-            7.5650000000000000e+02 -2 -3 752 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3031547069549561e-01 6.1485505104064941e-01
-            -7.2577434778213501e-01 -3.1862542033195496e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.2258289337158203e+01</treeThreshold>
-          <internalNodes>
-            1 2 753 1.7050000000000000e+02 0 -1 754
-            2.7500000000000000e+01 -2 -3 755 171.</internalNodes>
-          <leafValues>
-            2.5735321640968323e-01 -4.8002240061759949e-01
-            -8.0062097311019897e-01 3.0654129385948181e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2328397750854492e+01</treeThreshold>
-          <internalNodes>
-            1 2 756 1.2550000000000000e+02 0 -1 757
-            4.9850000000000000e+02 -2 -3 758 4.4150000000000000e+02</internalNodes>
-          <leafValues>
-            -5.5743676424026489e-01 7.0109486579895020e-02
-            4.4649991393089294e-01 -7.7318650484085083e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2216890335083008e+01</treeThreshold>
-          <internalNodes>
-            1 2 759 6.5000000000000000e+00 0 -1 760
-            1.5000000000000000e+00 -2 -3 761 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4395025968551636e-01 3.0336576700210571e-01
-            -7.8275823593139648e-01 1.5390900894999504e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.2302726745605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 762 1.5000000000000000e+00 0 -1 763
-            5.7500000000000000e+01 -2 -3 764 2.0645000000000000e+03</internalNodes>
-          <leafValues>
-            4.8738116025924683e-01 -3.1202495098114014e-01
-            -4.3800228834152222e-01 2.9288199543952942e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2548938751220703e+01</treeThreshold>
-          <internalNodes>
-            1 2 765 4.9500000000000000e+01 0 -1 766
-            3.8500000000000000e+01 -2 -3 767 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8418575525283813e-01 -6.1569869518280029e-01
-            2.4621097743511200e-01 -7.1180444955825806e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2475860595703125e+01</treeThreshold>
-          <internalNodes>
-            1 2 768 4.5000000000000000e+00 0 -1 769
-            1.7850000000000000e+02 -2 -3 770 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3133555650711060e-01 3.8137707114219666e-01
-            -3.6368274688720703e-01 6.6181749105453491e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2855289459228516e+01</treeThreshold>
-          <internalNodes>
-            1 2 771 4284. 0 -1 772 1.0550000000000000e+02 -2 -3 773
-            2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.8270370364189148e-01 5.1926845312118530e-01
-            -4.9393907189369202e-01 3.6390557885169983e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2716596603393555e+01</treeThreshold>
-          <internalNodes>
-            1 2 774 4.5000000000000000e+00 0 -1 775
-            2.5500000000000000e+01 -2 -3 776 6.0350000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2201086282730103e-01 4.4320568442344666e-01
-            -4.9849912524223328e-01 2.6197108626365662e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2941522598266602e+01</treeThreshold>
-          <internalNodes>
-            1 2 777 5.7850000000000000e+02 0 -1 778
-            6.8250000000000000e+02 -2 -3 779 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4641335010528564e-01 9.6406400203704834e-01
-            2.2492493689060211e-01 -7.7606719732284546e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3111333847045898e+01</treeThreshold>
-          <internalNodes>
-            1 2 780 2.9650000000000000e+02 0 -1 781
-            9.5000000000000000e+00 -2 -3 782 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2134265899658203e-01 1.6981208324432373e-01
-            -8.7735611200332642e-01 6.5406101942062378e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3225652694702148e+01</treeThreshold>
-          <internalNodes>
-            1 2 783 5.0000000000000000e-01 0 -1 784
-            3.5000000000000000e+00 -2 -3 785 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            4.8261573910713196e-01 -1.2186601758003235e-01
-            -6.2313985824584961e-01 1.7973627150058746e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3488880157470703e+01</treeThreshold>
-          <internalNodes>
-            1 2 786 5.0000000000000000e-01 0 -1 787
-            2.5000000000000000e+00 -2 -3 788 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2940989732742310e-01 4.9927219748497009e-01
-            -5.5514144897460938e-01 4.2520754039287567e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.3246582031250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 789 1.7500000000000000e+01 0 -1 790
-            3.5000000000000000e+00 -2 -3 791 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3804731667041779e-01 -3.6675044894218445e-01
-            -7.8130763769149780e-01 4.6650439500808716e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3027326583862305e+01</treeThreshold>
-          <internalNodes>
-            1 2 792 2.0450000000000000e+02 0 -1 793
-            6.4350000000000000e+02 -2 -3 794 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            6.1607003211975098e-01 -3.5964947938919067e-01
-            6.6453498601913452e-01 -1.7912100255489349e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3406442642211914e+01</treeThreshold>
-          <internalNodes>
-            1 2 795 5.0000000000000000e-01 0 -1 796
-            6.5000000000000000e+00 -2 -3 797 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.2512348890304565e-01 3.7911432981491089e-01
-            3.5871699452400208e-01 -4.4794848561286926e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3616649627685547e+01</treeThreshold>
-          <internalNodes>
-            1 2 798 2.8500000000000000e+01 0 -1 799
-            4.7450000000000000e+02 -2 -3 800 2.9250000000000000e+02</internalNodes>
-          <leafValues>
-            6.9855457544326782e-01 -7.0031523704528809e-01
-            2.1020780503749847e-01 -7.6559376716613770e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4126110076904297e+01</treeThreshold>
-          <internalNodes>
-            1 2 801 2.7500000000000000e+01 0 -1 802
-            6.5000000000000000e+00 -2 -3 803 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3670162260532379e-01 5.7600808143615723e-01
-            7.9060065746307373e-01 -6.8735271692276001e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4140369415283203e+01</treeThreshold>
-          <internalNodes>
-            1 2 804 5.0000000000000000e-01 0 -1 805
-            5.0000000000000000e-01 -2 -3 806 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1332882642745972e-01 5.2299410104751587e-01
-            -7.9110765457153320e-01 -2.8204634785652161e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4360799789428711e+01</treeThreshold>
-          <internalNodes>
-            1 2 807 4.5000000000000000e+00 0 -1 808
-            1.3185000000000000e+03 -2 -3 809 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1156605482101440e-01 2.2043134272098541e-01
-            2.7905371785163879e-01 -7.4440413713455200e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4109243392944336e+01</treeThreshold>
-          <internalNodes>
-            1 2 810 1.3500000000000000e+01 0 -1 811
-            5.0000000000000000e-01 -2 -3 812 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3124285042285919e-01 -6.3171100616455078e-01
-            -8.5163635015487671e-01 3.0160894989967346e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4255434036254883e+01</treeThreshold>
-          <internalNodes>
-            1 2 813 1.5650000000000000e+02 0 -1 814
-            3.5000000000000000e+00 -2 -3 815 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0664036273956299e-01 1.4619015157222748e-01
-            -7.6265025138854980e-01 9.5157426595687866e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4288377761840820e+01</treeThreshold>
-          <internalNodes>
-            1 2 816 8.3850000000000000e+02 0 -1 817
-            1.6815000000000000e+03 -2 -3 818 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.9312603771686554e-01 7.6522910594940186e-01
-            -5.9187997132539749e-02 -8.7799388170242310e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4200824737548828e+01</treeThreshold>
-          <internalNodes>
-            1 2 819 2.3685000000000000e+03 0 -1 820
-            6.4500000000000000e+01 -2 -3 821 2218.</internalNodes>
-          <leafValues>
-            -2.3894232511520386e-01 3.3463284373283386e-01
-            9.7570341825485229e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.4393486022949219e+01</treeThreshold>
-          <internalNodes>
-            1 2 822 1.5000000000000000e+00 0 -1 823
-            6.2500000000000000e+01 -2 -3 824 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.8941594958305359e-01 -6.3870257139205933e-01
-            2.9708841443061829e-01 -4.5916315913200378e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3864915847778320e+01</treeThreshold>
-          <internalNodes>
-            1 2 825 5.8500000000000000e+01 0 -1 826
-            5.0000000000000000e-01 -2 -3 827 5.0550000000000000e+02</internalNodes>
-          <leafValues>
-            1.0665965825319290e-01 -5.2857077121734619e-01
-            4.3078324198722839e-01 -6.8552410602569580e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4371673583984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 828 4.6500000000000000e+01 0 -1 829
-            2.8500000000000000e+01 -2 -3 830 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.6691280603408813e-01 9.4536936283111572e-01
-            5.0675743818283081e-01 -7.4976824223995209e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4283998489379883e+01</treeThreshold>
-          <internalNodes>
-            1 2 831 8.5000000000000000e+00 0 -1 832
-            4.5000000000000000e+00 -2 -3 833 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.1491531878709793e-01 -5.4051393270492554e-01
-            5.9726655483245850e-01 -8.7674349546432495e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4178682327270508e+01</treeThreshold>
-          <internalNodes>
-            1 2 834 2.4500000000000000e+01 0 -1 835 31. -2 -3 836
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.4163693785667419e-01 -8.9226043224334717e-01
-            4.4437414407730103e-01 -1.0531529039144516e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4790372848510742e+01</treeThreshold>
-          <internalNodes>
-            1 2 837 2.5500000000000000e+01 0 -1 838
-            3.3050000000000000e+02 -2 -3 839 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.6818559169769287e-01 9.3957829475402832e-01
-            6.1168950796127319e-01 -2.6481609791517258e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4897542953491211e+01</treeThreshold>
-          <internalNodes>
-            1 2 840 5.0000000000000000e-01 0 -1 841
-            5.0000000000000000e-01 -2 -3 842 2407.</internalNodes>
-          <leafValues>
-            -3.7540107965469360e-01 5.3918349742889404e-01
-            4.6452194452285767e-01 -4.5957338809967041e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5076763153076172e+01</treeThreshold>
-          <internalNodes>
-            1 2 843 228. 0 -1 844 182. -2 -3 845 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7922003567218781e-01 -6.3466674089431763e-01
-            -9.4654053449630737e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.5344453811645508e+01</treeThreshold>
-          <internalNodes>
-            1 2 846 2.1050000000000000e+02 0 -1 847 950. -2 -3 848
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.8418850302696228e-01 -3.3828052878379822e-01
-            -9.4338703155517578e-01 5.6358563899993896e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5327934265136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 849 5.7850000000000000e+02 0 -1 850 2721. -2 -3 851
-            5.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.7749001979827881e-01 7.9369461536407471e-01
-            6.1001539230346680e-01 -3.9780076593160629e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.5586107254028320e+01</treeThreshold>
-          <internalNodes>
-            1 2 852 1.5500000000000000e+01 0 -1 853
-            5.0000000000000000e-01 -2 -3 854 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.5170124173164368e-02 -8.7068217992782593e-01
-            3.4386867284774780e-01 -3.1679311394691467e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5956110000610352e+01</treeThreshold>
-          <internalNodes>
-            1 2 855 4.1250000000000000e+02 0 -1 856
-            9.5000000000000000e+00 -2 -3 857 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4299390912055969e-02 4.5086464285850525e-01
-            2.8941693902015686e-01 -7.5506448745727539e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5679136276245117e+01</treeThreshold>
-          <internalNodes>
-            1 2 858 1.5500000000000000e+01 0 -1 859
-            3.5500000000000000e+01 -2 -3 860 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.7768863439559937e-01 -9.8376011848449707e-01
-            2.2712181508541107e-01 -3.7263166904449463e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5702135086059570e+01</treeThreshold>
-          <internalNodes>
-            1 2 861 5.2500000000000000e+01 0 -1 862
-            1.1305000000000000e+03 -2 -3 863 213.</internalNodes>
-          <leafValues>
-            2.2998491302132607e-02 -5.8967226743698120e-01
-            6.5218383073806763e-01 -8.2674098014831543e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5561569213867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 864 5.5500000000000000e+01 0 -1 865
-            9.5000000000000000e+00 -2 -3 866 3.1350000000000000e+02</internalNodes>
-          <leafValues>
-            2.0403856039047241e-01 -5.6006175279617310e-01
-            -1.6610753536224365e-01 5.0708794593811035e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5522092819213867e+01</treeThreshold>
-          <internalNodes>
-            1 2 867 5.0000000000000000e-01 0 -1 868 5. -2 -3 869
-            3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3519564867019653e-01 5.9799957275390625e-01
-            -6.4083904027938843e-01 8.0231800675392151e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.5928745269775391e+01</treeThreshold>
-          <internalNodes>
-            1 2 870 2.7500000000000000e+01 0 -1 871
-            6.5000000000000000e+00 -2 -3 872 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.7719250917434692e-01 1.6834596171975136e-02
-            -4.1419923305511475e-01 4.9665707349777222e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5877567291259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 873 4.2500000000000000e+01 0 -1 874
-            1.5000000000000000e+00 -2 -3 875 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5778728723526001e-01 -6.9553768634796143e-01
-            5.8824920654296875e-01 -5.1177542656660080e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.6253459930419922e+01</treeThreshold>
-          <internalNodes>
-            1 2 876 2.0450000000000000e+02 0 -1 877
-            5.5000000000000000e+00 -2 -3 878 2.0750000000000000e+02</internalNodes>
-          <leafValues>
-            1.4472042024135590e-01 -5.3407484292984009e-01
-            5.5299741029739380e-01 -2.1952067315578461e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5972379684448242e+01</treeThreshold>
-          <internalNodes>
-            1 2 879 5.0000000000000000e-01 0 -1 880
-            9.2500000000000000e+01 -2 -3 881 2.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9287506937980652e-01 4.8725369572639465e-01
-            2.1028327941894531e-01 -4.5818585157394409e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6239015579223633e+01</treeThreshold>
-          <internalNodes>
-            1 2 882 3.3450000000000000e+02 0 -1 883
-            2.9500000000000000e+01 -2 -3 884 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.7773824334144592e-01 2.6663535833358765e-01
-            9.2568081617355347e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.6405815124511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 885 7.5000000000000000e+00 0 -1 886
-            1.5500000000000000e+01 -2 -3 887 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3278310000896454e-01 5.4445451498031616e-01
-            -4.4695791602134705e-01 5.7305967807769775e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6828212738037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 888 3.1750000000000000e+02 0 -1 889
-            8.5000000000000000e+00 -2 -3 890 1.9950000000000000e+02</internalNodes>
-          <leafValues>
-            5.8375543355941772e-01 -1.7268431186676025e-01
-            -6.6015034914016724e-01 4.4744126498699188e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.7001083374023438e+01</treeThreshold>
-          <internalNodes>
-            1 2 891 7.4500000000000000e+01 0 -1 892
-            9.5000000000000000e+00 -2 -3 893 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7140247821807861e-01 1.7287059128284454e-01
-            -9.5679062604904175e-01 2.9170122742652893e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6600372314453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 894 5.0000000000000000e-01 0 -1 895
-            1.5000000000000000e+00 -2 -3 896 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1320728063583374e-01 3.7253630161285400e-01
-            5.1001715660095215e-01 -4.2740473151206970e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6939287185668945e+01</treeThreshold>
-          <internalNodes>
-            1 2 897 742. 0 -1 898 1.5000000000000000e+00 -2 -3 899
-            4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            6.4842426776885986e-01 -6.8702745437622070e-01
-            5.3773084655404091e-03 7.0070070028305054e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7120637893676758e+01</treeThreshold>
-          <internalNodes>
-            1 2 900 4.7500000000000000e+01 0 -1 901
-            2.1500000000000000e+01 -2 -3 902 155.</internalNodes>
-          <leafValues>
-            -2.1175275743007660e-01 3.5446098446846008e-01
-            3.6745795607566833e-01 -7.7352613210678101e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6940479278564453e+01</treeThreshold>
-          <internalNodes>
-            1 2 903 5.5000000000000000e+00 0 -1 904
-            5.0000000000000000e-01 -2 -3 905 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.2342516779899597e-01 4.6100237965583801e-01
-            7.2207629680633545e-02 -5.1426035165786743e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6880437850952148e+01</treeThreshold>
-          <internalNodes>
-            1 2 906 4.1050000000000000e+02 0 -1 907
-            3.5000000000000000e+00 -2 -3 908 1.0185000000000000e+03</internalNodes>
-          <leafValues>
-            7.6362460851669312e-01 -2.9716432094573975e-01
-            6.9237434864044189e-01 -6.0041967779397964e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.6966255187988281e+01</treeThreshold>
-          <internalNodes>
-            1 2 909 5.0000000000000000e-01 0 -1 910 28. -2 -3 911
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3636984825134277e-01 8.9863502979278564e-01
-            5.1865053176879883e-01 -1.0253517329692841e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7442039489746094e+01</treeThreshold>
-          <internalNodes>
-            1 2 912 2.3500000000000000e+01 0 -1 913
-            2.5000000000000000e+00 -2 -3 914 550.</internalNodes>
-          <leafValues>
-            1.5000563859939575e-01 -4.6704238653182983e-01
-            -6.6705381870269775e-01 4.7578340768814087e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7651542663574219e+01</treeThreshold>
-          <internalNodes>
-            1 2 915 2.0050000000000000e+02 0 -1 916
-            2.5000000000000000e+00 -2 -3 917 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.6723048686981201e-01 2.0950356125831604e-01
-            3.3526617288589478e-01 -7.9762780666351318e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7623653411865234e+01</treeThreshold>
-          <internalNodes>
-            1 2 918 8.5000000000000000e+00 0 -1 919
-            5.5000000000000000e+00 -2 -3 920 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1512671709060669e-01 1.2574225664138794e-01
-            4.8598203063011169e-01 -1.5266139805316925e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7450769424438477e+01</treeThreshold>
-          <internalNodes>
-            1 2 921 5.5000000000000000e+00 0 -1 922
-            6.5000000000000000e+00 -2 -3 923 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.1216700971126556e-01 5.0396865606307983e-01
-            5.1462185382843018e-01 -4.5113617181777954e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7734930038452148e+01</treeThreshold>
-          <internalNodes>
-            1 2 924 644. 0 -1 925 1.1500000000000000e+01 -2 -3 926
-            1.2050000000000000e+02</internalNodes>
-          <leafValues>
-            2.5870633125305176e-01 -8.3483195304870605e-01
-            -6.0892283916473389e-01 2.8416162729263306e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7435287475585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 927 2.5000000000000000e+00 0 -1 928
-            1.5000000000000000e+00 -2 -3 929 658.</internalNodes>
-          <leafValues>
-            -9.0528321266174316e-01 5.4103326797485352e-01
-            -2.9964354634284973e-01 4.7055888175964355e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7890865325927734e+01</treeThreshold>
-          <internalNodes>
-            1 2 930 2.6065000000000000e+03 0 -1 931
-            3.0950000000000000e+02 -2 -3 932 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.2102564424276352e-01 4.5557883381843567e-01
-            -9.6796959638595581e-01 4.1553020477294922e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7985542297363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 933 1.2535000000000000e+03 0 -1 934
-            6.4950000000000000e+02 -2 -3 935 4.1650000000000000e+02</internalNodes>
-          <leafValues>
-            6.4220869541168213e-01 -4.2341175675392151e-01
-            5.5095940828323364e-01 -3.7539717555046082e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8142776489257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 936 5.0000000000000000e-01 0 -1 937
-            4.5000000000000000e+00 -2 -3 938 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2875818014144897e-01 4.3458873033523560e-01
-            -5.8713775873184204e-01 1.6683255136013031e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8195165634155273e+01</treeThreshold>
-          <internalNodes>
-            1 2 939 7.7450000000000000e+02 0 -1 940
-            2.5000000000000000e+00 -2 -3 941 7.9250000000000000e+02</internalNodes>
-          <leafValues>
-            3.3088469505310059e-01 -7.3728382587432861e-01
-            4.7910848259925842e-01 -1.5558865666389465e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8348829269409180e+01</treeThreshold>
-          <internalNodes>
-            1 2 942 2.2850000000000000e+02 0 -1 943
-            2.7500000000000000e+01 -2 -3 944 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7540810704231262e-02 4.9717679619789124e-01
-            -8.4607970714569092e-01 3.1448280811309814e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8368389129638672e+01</treeThreshold>
-          <internalNodes>
-            1 2 945 5.5000000000000000e+00 0 -1 946
-            5.5000000000000000e+00 -2 -3 947 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.9352790117263794e-01 4.7426006197929382e-01
-            3.1184694170951843e-01 -3.9333003759384155e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8678846359252930e+01</treeThreshold>
-          <internalNodes>
-            1 2 948 9.5500000000000000e+01 0 -1 949
-            1.3250000000000000e+02 -2 -3 950 85.</internalNodes>
-          <leafValues>
-            8.9399956166744232e-02 -7.3296272754669189e-01
-            -7.4362647533416748e-01 3.2927182316780090e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8603195190429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 951 2.3500000000000000e+01 0 -1 952
-            5.5000000000000000e+00 -2 -3 953 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9263785481452942e-01 -2.7861267328262329e-01
-            2.4879254400730133e-02 -8.7280374765396118e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8429206848144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 954 5.0000000000000000e-01 0 -1 955
-            7.5000000000000000e+00 -2 -3 956 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9112609028816223e-01 4.5099055767059326e-01
-            -6.6482228040695190e-01 3.8441817741841078e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.8728115081787109e+01</treeThreshold>
-          <internalNodes>
-            1 2 957 4.5000000000000000e+00 0 -1 958
-            3.0500000000000000e+01 -2 -3 959 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.4782031178474426e-01 -4.3692314624786377e-01
-            -5.0424945354461670e-01 4.8909524083137512e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9034227371215820e+01</treeThreshold>
-          <internalNodes>
-            1 2 960 8.5000000000000000e+00 0 -1 961 1313. -2 -3 962
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1847491264343262e-01 -7.2316378355026245e-01
-            5.3542798757553101e-01 -6.9837749004364014e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9042299270629883e+01</treeThreshold>
-          <internalNodes>
-            1 2 963 8.2350000000000000e+02 0 -1 964
-            6.1500000000000000e+01 -2 -3 965 1.0848500000000000e+04</internalNodes>
-          <leafValues>
-            -2.7015477418899536e-01 2.4192942678928375e-01
-            9.2728316783905029e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.9266605377197266e+01</treeThreshold>
-          <internalNodes>
-            1 2 966 3.5500000000000000e+01 0 -1 967
-            1.1500000000000000e+01 -2 -3 968 474.</internalNodes>
-          <leafValues>
-            3.2317626476287842e-01 -2.3886755108833313e-01
-            -9.2069733142852783e-01 9.9993713200092316e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9196119308471680e+01</treeThreshold>
-          <internalNodes>
-            1 2 969 1.5000000000000000e+00 0 -1 970 50. -2 -3 971
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.8119459152221680e-01 1.5396067500114441e-01
-            3.5588577389717102e-01 -1.8907056748867035e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8916269302368164e+01</treeThreshold>
-          <internalNodes>
-            1 2 972 2.7500000000000000e+01 0 -1 973 78. -2 -3 974
-            1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            9.6468514204025269e-01 -2.7984911203384399e-01
-            5.2942144870758057e-01 -5.4215109348297119e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9137155532836914e+01</treeThreshold>
-          <internalNodes>
-            1 2 975 2.3500000000000000e+01 0 -1 976
-            5.7850000000000000e+02 -2 -3 977 2.9250000000000000e+02</internalNodes>
-          <leafValues>
-            2.3396319150924683e-01 -8.4364879131317139e-01
-            -3.0435711145401001e-01 3.2314890623092651e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9115297317504883e+01</treeThreshold>
-          <internalNodes>
-            1 2 978 5.0000000000000000e-01 0 -1 979
-            3.9550000000000000e+02 -2 -3 980 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9777445793151855e-01 -7.7888238430023193e-01
-            -4.1580772399902344e-01 3.4073171019554138e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9551794052124023e+01</treeThreshold>
-          <internalNodes>
-            1 2 981 1.8785000000000000e+03 0 -1 982
-            5.9715000000000000e+03 -2 -3 983 6.4250000000000000e+02</internalNodes>
-          <leafValues>
-            -1.2244975566864014e-01 6.9085955619812012e-01
-            -5.9161955118179321e-01 2.9289481043815613e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9916490554809570e+01</treeThreshold>
-          <internalNodes>
-            1 2 984 3.6500000000000000e+01 0 -1 985
-            5.5000000000000000e+00 -2 -3 986 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7442290782928467e-01 9.8645307123661041e-02
-            4.4346800446510315e-01 -1.5005703270435333e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9763261795043945e+01</treeThreshold>
-          <internalNodes>
-            1 2 987 3.2500000000000000e+01 0 -1 988
-            1.0500000000000000e+01 -2 -3 989 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8456574082374573e-01 3.4571200609207153e-01
-            5.5213904380798340e-01 -5.1309728622436523e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0075271606445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 990 5.5000000000000000e+00 0 -1 991 3216. -2 -3 992 57.</internalNodes>
-          <leafValues>
-            3.7469649314880371e-01 -7.7058547735214233e-01
-            -6.3845652341842651e-01 4.0090378373861313e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0020376205444336e+01</treeThreshold>
-          <internalNodes>
-            1 2 993 6.6650000000000000e+02 0 -1 994
-            1.5000000000000000e+00 -2 -3 995 1.6650000000000000e+02</internalNodes>
-          <leafValues>
-            6.1095565557479858e-01 -6.7465776205062866e-01
-            2.2271032631397247e-01 -8.2703709602355957e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9878087997436523e+01</treeThreshold>
-          <internalNodes>
-            1 2 996 5.5000000000000000e+00 0 -1 997
-            1.1500000000000000e+01 -2 -3 998 6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.6279782056808472e-01 1.8749718368053436e-01
-            6.7090582847595215e-01 -1.3304303586483002e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9944360733032227e+01</treeThreshold>
-          <internalNodes>
-            1 2 999 1.5000000000000000e+00 0 -1 1000
-            2.5000000000000000e+00 -2 -3 1001 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 4.3671074509620667e-01 6.6273018717765808e-02
-            -5.3205168247222900e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9942871093750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1002 5.5000000000000000e+00 0 -1 1003
-            3.7450000000000000e+02 -2 -3 1004 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.1623644828796387e-01 -4.8089489340782166e-01
-            5.9936344623565674e-01 -3.1623546034097672e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0450216293334961e+01</treeThreshold>
-          <internalNodes>
-            1 2 1005 7.8750000000000000e+02 0 -1 1006
-            6.7550000000000000e+02 -2 -3 1007 7.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9125915765762329e-01 5.5245697498321533e-01
-            5.0734555721282959e-01 -1.7348597943782806e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0483926773071289e+01</treeThreshold>
-          <internalNodes>
-            1 2 1008 2.2350000000000000e+02 0 -1 1009
-            5.5000000000000000e+00 -2 -3 1010 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1597571372985840e-01 -3.2840871810913086e-01
-            -4.1519615054130554e-01 3.1820172071456909e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0558099746704102e+01</treeThreshold>
-          <internalNodes>
-            1 2 1011 4.8500000000000000e+01 0 -1 1012
-            5.5000000000000000e+00 -2 -3 1013 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            7.4174232780933380e-02 -6.8477684259414673e-01
-            -9.2985051870346069e-01 3.0161842703819275e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0625425338745117e+01</treeThreshold>
-          <internalNodes>
-            1 2 1014 1.8500000000000000e+01 0 -1 1015
-            9.3500000000000000e+01 -2 -3 1016 1.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.1940811872482300e-01 2.9973128437995911e-01
-            7.6479032635688782e-02 -6.5602862834930420e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0697441101074219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1017 3.7500000000000000e+01 0 -1 1018
-            2.1500000000000000e+01 -2 -3 1019 5804.</internalNodes>
-          <leafValues>
-            -4.4756698608398438e-01 2.7423384785652161e-01
-            -6.8169790506362915e-01 2.0900464057922363e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0949892044067383e+01</treeThreshold>
-          <internalNodes>
-            1 2 1020 5.0000000000000000e-01 0 -1 1021
-            5.5000000000000000e+00 -2 -3 1022 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.4901775121688843e-01 2.5245016813278198e-01
-            2.4039171636104584e-01 -6.1729639768600464e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0929098129272461e+01</treeThreshold>
-          <internalNodes>
-            1 2 1023 5.0000000000000000e-01 0 -1 1024
-            6.5000000000000000e+00 -2 -3 1025 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9928469061851501e-01 5.0110679864883423e-01
-            -7.4043375253677368e-01 -4.4123314321041107e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.1333951950073242e+01</treeThreshold>
-          <internalNodes>
-            1 2 1026 6.5000000000000000e+00 0 -1 1027
-            2.1500000000000000e+01 -2 -3 1028 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8101430535316467e-02 6.1747199296951294e-01
-            2.6098625734448433e-02 -6.9707942008972168e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1116010665893555e+01</treeThreshold>
-          <internalNodes>
-            1 2 1029 2.0150000000000000e+02 0 -1 1030
-            5.0000000000000000e-01 -2 -3 1031 2.8750000000000000e+02</internalNodes>
-          <leafValues>
-            2.9852050542831421e-01 -4.3055999279022217e-01
-            6.7561793327331543e-01 -8.7017469108104706e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.1032897949218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1032 8.5000000000000000e+00 0 -1 1033
-            3.5000000000000000e+00 -2 -3 1034 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2436734437942505e-01 7.9362380504608154e-01
-            3.3129659295082092e-01 -2.2134104371070862e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0731082916259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1035 1.5500000000000000e+01 0 -1 1036
-            1.5000000000000000e+00 -2 -3 1037 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2363544702529907e-01 -8.2277619838714600e-01
-            3.4363475441932678e-01 -3.0181473493576050e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1582773208618164e+01</treeThreshold>
-          <internalNodes>
-            1 2 1038 2.3500000000000000e+01 0 -1 1039 256. -2 -3 1040
-            1245.</internalNodes>
-          <leafValues>
-            4.0018074214458466e-02 -5.4246288537979126e-01
-            -7.1379941701889038e-01 8.5168963670730591e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0922315597534180e+01</treeThreshold>
-          <internalNodes>
-            1 2 1041 1.1500000000000000e+01 0 -1 1042
-            9.7500000000000000e+01 -2 -3 1043 4.2050000000000000e+02</internalNodes>
-          <leafValues>
-            3.3170649409294128e-01 -6.6045612096786499e-01
-            -1.4949633181095123e-01 5.1487708091735840e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0648450851440430e+01</treeThreshold>
-          <internalNodes>
-            1 2 1044 5.7750000000000000e+02 0 -1 1045
-            5.0000000000000000e-01 -2 -3 1046 3.8250000000000000e+02</internalNodes>
-          <leafValues>
-            4.8874342441558838e-01 -8.4576064348220825e-01
-            6.7698836326599121e-01 -6.0642462223768234e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0702632904052734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1047 2.2500000000000000e+01 0 -1 1048
-            1.2950000000000000e+02 -2 -3 1049 3.5650000000000000e+02</internalNodes>
-          <leafValues>
-            5.4180499166250229e-02 -5.0506794452667236e-01
-            7.7279126644134521e-01 -4.4330042600631714e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1123544692993164e+01</treeThreshold>
-          <internalNodes>
-            1 2 1050 2.1500000000000000e+01 0 -1 1051
-            1.8500000000000000e+01 -2 -3 1052 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.4420540928840637e-01 5.7321655750274658e-01
-            4.2091187834739685e-01 -6.6199111938476562e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0851852416992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1053 1.5000000000000000e+00 0 -1 1054
-            4.5000000000000000e+00 -2 -3 1055 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.3376497030258179e-01 5.1961439847946167e-01
-            1.9672468304634094e-01 -3.8548988103866577e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1271551132202148e+01</treeThreshold>
-          <internalNodes>
-            1 2 1056 5.5000000000000000e+00 0 -1 1057
-            1.5000000000000000e+00 -2 -3 1058 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9125646352767944e-01 -4.8435854911804199e-01
-            6.1247032880783081e-01 -2.2513453662395477e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1481870651245117e+01</treeThreshold>
-          <internalNodes>
-            1 2 1059 2.6500000000000000e+01 0 -1 1060 160. -2 -3 1061
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.5120378732681274e-01 -7.5941944122314453e-01
-            4.1089880466461182e-01 -1.3137997686862946e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1036325454711914e+01</treeThreshold>
-          <internalNodes>
-            1 2 1062 1.5500000000000000e+01 0 -1 1063
-            1.4500000000000000e+01 -2 -3 1064 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4304007887840271e-02 -6.1823207139968872e-01
-            -2.7733555436134338e-01 6.1952215433120728e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1423891067504883e+01</treeThreshold>
-          <internalNodes>
-            1 2 1065 2.5450000000000000e+02 0 -1 1066
-            1.2500000000000000e+01 -2 -3 1067 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.7979310154914856e-01 -9.3194240331649780e-01
-            -1.1963248252868652e-01 4.4283005595207214e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0981994628906250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1068 4.5000000000000000e+00 0 -1 1069
-            1.5000000000000000e+00 -2 -3 1070 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.1386426687240601e-01 3.3223813772201538e-01
-            5.5634075403213501e-01 -4.5681276917457581e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1151826858520508e+01</treeThreshold>
-          <internalNodes>
-            1 2 1071 8.3500000000000000e+01 0 -1 1072
-            6.5000000000000000e+00 -2 -3 1073 32.</internalNodes>
-          <leafValues>
-            -6.9022941589355469e-01 1.6983160376548767e-01
-            -7.8779727220535278e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>3.1287761688232422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1074 4.2250000000000000e+02 0 -1 1075
-            1.6785000000000000e+03 -2 -3 1076 3.4085000000000000e+03</internalNodes>
-          <leafValues>
-            -2.1672263741493225e-01 7.0122992992401123e-01
-            -5.5317509174346924e-01 1.3593602180480957e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1590259552001953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1077 3.1150000000000000e+02 0 -1 1078
-            1.1500000000000000e+01 -2 -3 1079 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.2860367894172668e-01 3.0249705910682678e-01
-            8.6132842302322388e-01 -5.9583419561386108e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1790189743041992e+01</treeThreshold>
-          <internalNodes>
-            1 2 1080 9.3500000000000000e+01 0 -1 1081
-            8.5000000000000000e+00 -2 -3 1082 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5307538509368896e-01 1.9993139803409576e-01
-            5.2050822973251343e-01 -7.1924048662185669e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1949237823486328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1083 1.5000000000000000e+00 0 -1 1084
-            1.8500000000000000e+01 -2 -3 1085 4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7075895071029663e-01 4.1160404682159424e-01
-            -4.2329508066177368e-01 3.9578995108604431e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1551105499267578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1086 5.0000000000000000e-01 0 -1 1087
-            7.1500000000000000e+01 -2 -3 1088 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.7251659631729126e-01 -6.8467688560485840e-01
-            3.0512693524360657e-01 -3.9813303947448730e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1931394577026367e+01</treeThreshold>
-          <internalNodes>
-            1 2 1089 1.9150000000000000e+02 0 -1 1090
-            4.5000000000000000e+00 -2 -3 1091 7.6950000000000000e+02</internalNodes>
-          <leafValues>
-            1.9683115184307098e-01 -5.8899974822998047e-01
-            -6.5470945835113525e-01 3.8028964400291443e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2017967224121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1092 7.5000000000000000e+00 0 -1 1093
-            2.8500000000000000e+01 -2 -3 1094 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7054101228713989e-01 -5.6520724296569824e-01
-            -6.2938737869262695e-01 8.6574614048004150e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.2285461425781250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1095 5.8750000000000000e+02 0 -1 1096
-            5.0000000000000000e-01 -2 -3 1097 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0511577874422073e-01 -6.9365251064300537e-01
-            -6.4478015899658203e-01 2.6749077439308167e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2811119079589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1098 2.1500000000000000e+01 0 -1 1099
-            4.1500000000000000e+01 -2 -3 1100 559.</internalNodes>
-          <leafValues>
-            -2.0592536032199860e-01 3.7386643886566162e-01
-            7.8755700588226318e-01 -6.8481349945068359e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2689319610595703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1101 5.7550000000000000e+02 0 -1 1102
-            3.5000000000000000e+00 -2 -3 1103 9.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9178147912025452e-01 -1.2180019915103912e-01
-            -9.6077018976211548e-01 -1.4056563377380371e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2619079589843750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1104 2.5000000000000000e+00 0 -1 1105 43. -2 -3 1106
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9122837781906128e-01 4.5819079875946045e-01
-            5.5948436260223389e-01 -7.0240341126918793e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3039958953857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1107 2.3955000000000000e+03 0 -1 1108
-            1.2535000000000000e+03 -2 -3 1109 4.0405000000000000e+03</internalNodes>
-          <leafValues>
-            2.9499965906143188e-01 -2.6054748892784119e-01
-            9.8911577463150024e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.3041172027587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1110 2.0850000000000000e+02 0 -1 1111
-            2.7500000000000000e+01 -2 -3 1112 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.7137396335601807e-01 1.2141949264332652e-03
-            6.0118967294692993e-01 -2.0657041668891907e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2776119232177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1113 3.5000000000000000e+00 0 -1 1114
-            6.5000000000000000e+00 -2 -3 1115 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.2868818044662476e-01 5.7510751485824585e-01
-            -3.6484047770500183e-01 5.1262056827545166e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2935546875000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1116 5.0000000000000000e-01 0 -1 1117
-            2.5000000000000000e+00 -2 -3 1118 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.3760849237442017e-01 4.5924603939056396e-01
-            1.5942642092704773e-01 -4.6601155400276184e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2656055450439453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1119 3.3500000000000000e+01 0 -1 1120
-            3.4500000000000000e+01 -2 -3 1121 3.9150000000000000e+02</internalNodes>
-          <leafValues>
-            -2.7949050068855286e-01 3.4181603789329529e-01
-            7.1765547990798950e-01 -7.6309484243392944e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2747634887695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1122 2.5000000000000000e+00 0 -1 1123
-            2.5000000000000000e+00 -2 -3 1124 3.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4318218231201172e-01 5.3260874748229980e-01
-            -5.0913441181182861e-01 9.1580078005790710e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3188011169433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1125 5.6500000000000000e+01 0 -1 1126
-            3.2500000000000000e+01 -2 -3 1127 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4126682281494141e-01 4.9496468901634216e-01
-            -3.9145907759666443e-01 4.4037669897079468e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3416931152343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1128 7.0500000000000000e+01 0 -1 1129
-            1.1500000000000000e+01 -2 -3 1130 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.8201475143432617e-01 2.2891646623611450e-01
-            -8.5659736394882202e-01 6.1013686656951904e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3275886535644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1131 4.0500000000000000e+01 0 -1 1132
-            1.9500000000000000e+01 -2 -3 1133 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6871705055236816e-01 -6.3255614042282104e-01
-            2.3965831100940704e-01 -6.3516211509704590e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3399391174316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1134 5.5000000000000000e+00 0 -1 1135
-            8.5000000000000000e+00 -2 -3 1136 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6200548410415649e-01 1.5101595222949982e-01
-            -7.6606094837188721e-01 2.5947886705398560e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3559207916259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1137 6.5000000000000000e+00 0 -1 1138
-            8.2500000000000000e+01 -2 -3 1139 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6681274175643921e-01 -6.3294899463653564e-01
-            -5.5192285776138306e-01 2.3842744529247284e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3856239318847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1140 1.0500000000000000e+01 0 -1 1141
-            1.7350000000000000e+02 -2 -3 1142 2.7550000000000000e+02</internalNodes>
-          <leafValues>
-            2.9703170061111450e-01 -5.5057585239410400e-01
-            -6.4888852834701538e-01 1.1229314655065536e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3721168518066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1143 3.5000000000000000e+00 0 -1 1144 126. -2 -3 1145
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.2471975088119507e-01 -7.2330892086029053e-01
-            3.9742922782897949e-01 -1.3506934046745300e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4096935272216797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1146 2.3500000000000000e+01 0 -1 1147
-            1.9500000000000000e+01 -2 -3 1148 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5066823959350586e-01 3.2355815172195435e-01
-            3.7576669454574585e-01 -2.6415929198265076e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4108264923095703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1149 1.5000000000000000e+00 0 -1 1150
-            6.5000000000000000e+00 -2 -3 1151 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7412526607513428e-01 5.2388346195220947e-01
-            -4.9519532918930054e-01 1.9004400074481964e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3904502868652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1152 7.7250000000000000e+02 0 -1 1153 77. -2 -3 1154
-            4.8350000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9026130437850952e-01 8.2613104581832886e-01
-            6.4011102914810181e-01 -8.1689134240150452e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4277988433837891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1155 5.0000000000000000e-01 0 -1 1156
-            7.3150000000000000e+02 -2 -3 1157 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.5011767745018005e-01 -2.4998305737972260e-01
-            8.2632339000701904e-01 -4.2073485255241394e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4078739166259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1158 2.0950000000000000e+02 0 -1 1159
-            1.6755000000000000e+03 -2 -3 1160 6.1815000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7588048577308655e-01 9.5124208927154541e-01
-            6.4596521854400635e-01 -3.6611458659172058e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4438789367675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1161 1.5500000000000000e+01 0 -1 1162
-            2.1500000000000000e+01 -2 -3 1163 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0783519148826599e-01 3.6005032062530518e-01
-            4.5609518885612488e-01 -6.2639898061752319e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4638523101806641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1164 3.1500000000000000e+01 0 -1 1165
-            7.5000000000000000e+00 -2 -3 1166 3.2350000000000000e+02</internalNodes>
-          <leafValues>
-            -9.4682770967483521e-01 1.9973398745059967e-01
-            -6.2348783016204834e-01 6.9902861118316650e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4201782226562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1167 7.5000000000000000e+00 0 -1 1168
-            1.5000000000000000e+00 -2 -3 1169 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3168455958366394e-01 -4.3674397468566895e-01
-            -6.4757126569747925e-01 2.0459994673728943e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4516929626464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1170 1.6500000000000000e+01 0 -1 1171
-            5.0000000000000000e-01 -2 -3 1172 675.</internalNodes>
-          <leafValues>
-            2.3890937864780426e-01 -5.7110768556594849e-01
-            3.1514799594879150e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.4619071960449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1173 8.6500000000000000e+01 0 -1 1174
-            4.5000000000000000e+00 -2 -3 1175 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6261973381042480e-01 -8.6133646965026855e-01 -1.
-            1.0214501619338989e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4869640350341797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1176 5.0000000000000000e-01 0 -1 1177
-            1.2315000000000000e+03 -2 -3 1178 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.7597665190696716e-01 -6.9864195585250854e-01
-            2.0625047385692596e-01 -4.8068267107009888e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5086204528808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1179 1.6500000000000000e+01 0 -1 1180
-            8.3500000000000000e+01 -2 -3 1181 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.4784654974937439e-01 -8.3145272731781006e-01
-            -6.7620545625686646e-01 2.1656262874603271e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4877140045166016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1182 5.0000000000000000e-01 0 -1 1183
-            3.5000000000000000e+00 -2 -3 1184 969.</internalNodes>
-          <leafValues>
-            -6.4537084102630615e-01 2.7460998296737671e-01
-            -5.3607624769210815e-01 2.8266566991806030e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5179489135742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1185 1.5000000000000000e+00 0 -1 1186
-            7.2500000000000000e+01 -2 -3 1187 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            9.7988271713256836e-01 -5.9574514627456665e-01
-            -1.8132425844669342e-01 5.5573570728302002e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5144893646240234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1188 5.0000000000000000e-01 0 -1 1189
-            2.6500000000000000e+01 -2 -3 1190 8.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -4.2640584707260132e-01 5.2214205265045166e-01
-            8.3740442991256714e-01 -2.8797909617424011e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5558689117431641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1191 5.0000000000000000e-01 0 -1 1192
-            2.6500000000000000e+01 -2 -3 1193 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3793568015098572e-01 4.1379487514495850e-01
-            1.8940502405166626e-01 -5.4046261310577393e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5233970642089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1194 4.7500000000000000e+01 0 -1 1195
-            8.5000000000000000e+00 -2 -3 1196 338.</internalNodes>
-          <leafValues>
-            1.5260761976242065e-01 -4.2628118395805359e-01
-            5.9790462255477905e-01 -5.5013555288314819e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5332725524902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1197 5.0000000000000000e-01 0 -1 1198
-            3.6500000000000000e+01 -2 -3 1199 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2585823237895966e-02 6.3506704568862915e-01
-            -3.5257333517074585e-01 5.9659516811370850e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5257114410400391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1200 3.5000000000000000e+00 0 -1 1201
-            7.5000000000000000e+00 -2 -3 1202 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3612766265869141e-01 3.4692686796188354e-01
-            5.0016778707504272e-01 -7.5611986219882965e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.5595767974853516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1203 1.0500000000000000e+01 0 -1 1204
-            1.8500000000000000e+01 -2 -3 1205 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.5243799686431885e-01 7.0761454105377197e-01
-            3.3865371346473694e-01 -1.8447074294090271e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5873832702636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1206 1.6350000000000000e+02 0 -1 1207
-            9.1500000000000000e+01 -2 -3 1208 19.</internalNodes>
-          <leafValues>
-            -1.3119605183601379e-01 4.0907257795333862e-01
-            -8.4312802553176880e-01 9.1352003812789917e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6231769561767578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1209 4.5000000000000000e+00 0 -1 1210
-            1.5000000000000000e+00 -2 -3 1211 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.6025198698043823e-01 3.4153524041175842e-01
-            -5.0537836551666260e-01 3.5793614387512207e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6177539825439453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1212 1.5500000000000000e+01 0 -1 1213
-            4.5000000000000000e+00 -2 -3 1214 5.8650000000000000e+02</internalNodes>
-          <leafValues>
-            -3.4014788269996643e-01 3.7431231141090393e-01
-            -8.9153337478637695e-01 -8.3685964345932007e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.5921119689941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1215 5.0000000000000000e-01 0 -1 1216
-            8.5500000000000000e+01 -2 -3 1217 3.3350000000000000e+02</internalNodes>
-          <leafValues>
-            7.2648537158966064e-01 -8.4184181690216064e-01
-            -2.5641769170761108e-01 5.9225118160247803e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5762935638427734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1218 5.0695000000000000e+03 0 -1 1219
-            4.1865000000000000e+03 -2 -3 1220 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.5818408131599426e-01 7.5127458572387695e-01
-            -4.1771730780601501e-01 1.6759181022644043e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6343830108642578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1221 5.5000000000000000e+00 0 -1 1222 161. -2 -3 1223
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.1770183742046356e-02 -8.2580149173736572e-01
-            6.3310110569000244e-01 -1.1210992932319641e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6239753723144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1224 2.9500000000000000e+01 0 -1 1225
-            2.2500000000000000e+01 -2 -3 1226 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7685142755508423e-01 5.9265869855880737e-01
-            5.8708161115646362e-01 -1.0407686233520508e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6570693969726562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1227 2.6050000000000000e+02 0 -1 1228
-            5.1500000000000000e+01 -2 -3 1229 194.</internalNodes>
-          <leafValues>
-            -1.3848701119422913e-01 3.8530793786048889e-01
-            -9.9199587106704712e-01 7.3519229888916016e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6172859191894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1230 4.5000000000000000e+00 0 -1 1231 2985. -2 -3 1232
-            4.1050000000000000e+02</internalNodes>
-          <leafValues>
-            7.0713436603546143e-01 -7.4149054288864136e-01
-            -3.9783236384391785e-01 1.8219061195850372e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6474601745605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1233 7.2850000000000000e+02 0 -1 1234
-            1.0500000000000000e+01 -2 -3 1235 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5275667905807495e-01 3.0174070596694946e-01
-            5.2034640312194824e-01 -4.9349766969680786e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6498180389404297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1236 4.8500000000000000e+01 0 -1 1237
-            9.5000000000000000e+00 -2 -3 1238 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.8738486766815186e-01 -7.6111316680908203e-01
-            5.0128465890884399e-01 -1.1157950758934021e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6698276519775391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1239 2.8850000000000000e+02 0 -1 1240
-            2.0500000000000000e+01 -2 -3 1241 1.2805000000000000e+03</internalNodes>
-          <leafValues>
-            -4.7094190120697021e-01 2.0009694993495941e-01 1.
-            -9.3752562999725342e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6857143402099609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1242 3.5000000000000000e+00 0 -1 1243 2854. -2 -3 1244
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.4445955753326416e-01 -6.2877982854843140e-01
-            2.8415599465370178e-01 -4.0654498338699341e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6661224365234375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1245 6.3850000000000000e+02 0 -1 1246
-            1.3500000000000000e+01 -2 -3 1247 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8753396868705750e-01 4.5057922601699829e-01
-            -9.3399870395660400e-01 6.8900948762893677e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7027565002441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1248 1.1500000000000000e+01 0 -1 1249
-            3.5000000000000000e+00 -2 -3 1250 482.</internalNodes>
-          <leafValues>
-            -8.2890731096267700e-01 3.8032263517379761e-01
-            -6.3736891746520996e-01 2.2181304171681404e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.7302738189697266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1251 1.5000000000000000e+00 0 -1 1252
-            6.5000000000000000e+00 -2 -3 1253 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7263113260269165e-01 2.7517196536064148e-01
-            -6.8864667415618896e-01 -1.0606539435684681e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.7514694213867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1254 5.0000000000000000e-01 0 -1 1255
-            1.6555000000000000e+03 -2 -3 1256 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4653161764144897e-01 -3.8731038570404053e-01
-            -2.6684281229972839e-01 5.9316390752792358e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7565513610839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1257 5.7450000000000000e+02 0 -1 1258
-            2.9450000000000000e+02 -2 -3 1259 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9943376779556274e-01 1. 3.4340542554855347e-01
-            -2.2570419311523438e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7413349151611328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1260 189. 0 -1 1261 5.0000000000000000e-01 -2 -3 1262
-            2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            7.8168439865112305e-01 -8.3374607563018799e-01
-            -1.9817931950092316e-01 3.6079603433609009e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7554840087890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1263 298. 0 -1 1264 3022. -2 -3 1265
-            1.9350000000000000e+02</internalNodes>
-          <leafValues>
-            -1.1193416081368923e-02 8.7101829051971436e-01
-            2.1728983521461487e-01 -4.2951995134353638e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7603076934814453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1266 1.1500000000000000e+01 0 -1 1267
-            2.5000000000000000e+00 -2 -3 1268 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            1.7867322266101837e-01 -4.2928701639175415e-01
-            5.2659392356872559e-01 -6.2002837657928467e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7885494232177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1269 1.4500000000000000e+01 0 -1 1270
-            2.5000000000000000e+00 -2 -3 1271 8.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8106105923652649e-01 -7.7528846263885498e-01
-            -5.8309614658355713e-01 2.8241708874702454e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7499431610107422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1272 3.5500000000000000e+01 0 -1 1273
-            2.5000000000000000e+00 -2 -3 1274 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1437792778015137e-01 5.1539105176925659e-01
-            -3.8606551289558411e-01 3.3163914084434509e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7937980651855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1275 1.3500000000000000e+01 0 -1 1276
-            1.4500000000000000e+01 -2 -3 1277 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2145909070968628e-02 6.0647141933441162e-01
-            -6.2856364250183105e-01 8.6137987673282623e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8185783386230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1278 1.4500000000000000e+01 0 -1 1279 73. -2 -3 1280
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4152975082397461e-01 1. 2.4780233204364777e-01
-            -4.0907081961631775e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7849395751953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1281 5.0000000000000000e-01 0 -1 1282
-            4.5000000000000000e+00 -2 -3 1283 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.0824928283691406e-01 5.6237548589706421e-01
-            5.4402673244476318e-01 -3.3638605475425720e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8386943817138672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1284 2.0450000000000000e+02 0 -1 1285
-            6.7250000000000000e+02 -2 -3 1286 1.2385000000000000e+03</internalNodes>
-          <leafValues>
-            3.9266860485076904e-01 -3.8152101635932922e-01
-            5.9661215543746948e-01 -3.8554838299751282e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8467891693115234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1287 5.5000000000000000e+00 0 -1 1288
-            9.0500000000000000e+01 -2 -3 1289 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1883549168705940e-02 -6.2764549255371094e-01
-            7.0444834232330322e-01 -4.4701110571622849e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8550418853759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1290 2.8350000000000000e+02 0 -1 1291
-            1.4500000000000000e+01 -2 -3 1292 58.</internalNodes>
-          <leafValues>
-            -8.5395231842994690e-02 5.9592086076736450e-01
-            9.0824156999588013e-01 -8.9943450689315796e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8631130218505859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1293 2.5000000000000000e+00 0 -1 1294
-            9.5000000000000000e+00 -2 -3 1295 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6073815822601318e-01 5.3091663122177124e-01
-            1.6989825665950775e-01 -4.6344351768493652e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8474849700927734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1296 5.7750000000000000e+02 0 -1 1297
-            1.9250000000000000e+02 -2 -3 1298 2.6195000000000000e+03</internalNodes>
-          <leafValues>
-            -8.1247472763061523e-01 2.9322347044944763e-01
-            3.5261180996894836e-01 -2.4546836316585541e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8279983520507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1299 4.4500000000000000e+01 0 -1 1300 1096. -2 -3 1301
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            6.6110774874687195e-02 -7.6391810178756714e-01
-            5.6174814701080322e-01 -7.3350854218006134e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8626735687255859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1302 3.4350000000000000e+02 0 -1 1303
-            5.0000000000000000e-01 -2 -3 1304 7.1750000000000000e+02</internalNodes>
-          <leafValues>
-            3.5977458953857422e-01 -2.1690338850021362e-01
-            9.9256932735443115e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.8572544097900391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1305 1.1500000000000000e+01 0 -1 1306
-            1.2500000000000000e+01 -2 -3 1307 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.2809075117111206e-01 8.5182946920394897e-01
-            4.9062111973762512e-01 -5.4192960262298584e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8948635101318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1308 4.2550000000000000e+02 0 -1 1309
-            7.6500000000000000e+01 -2 -3 1310 8986.</internalNodes>
-          <leafValues>
-            -4.5830437541007996e-01 1.6672098636627197e-01
-            7.7317571640014648e-01 -2.2485339641571045e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9342456817626953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1311 6.9500000000000000e+01 0 -1 1312
-            3.5500000000000000e+01 -2 -3 1313 1.0545000000000000e+03</internalNodes>
-          <leafValues>
-            -1.2714000418782234e-02 6.2372517585754395e-01
-            -5.7864826917648315e-01 5.6230723857879639e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9216064453125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1314 5.2750000000000000e+02 0 -1 1315
-            1.9048500000000000e+04 -2 -3 1316 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 7.7397161722183228e-01 1.6222594678401947e-01
-            -3.9657172560691833e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9446334838867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1317 3.5000000000000000e+00 0 -1 1318
-            6.3500000000000000e+01 -2 -3 1319 288.</internalNodes>
-          <leafValues>
-            3.8338693976402283e-01 -9.0452802181243896e-01
-            -5.4537796974182129e-01 2.3026967048645020e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9339183807373047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1320 1.1500000000000000e+01 0 -1 1321
-            5.0000000000000000e-01 -2 -3 1322 3472.</internalNodes>
-          <leafValues>
-            3.7719848752021790e-01 -2.7750793099403381e-01
-            -7.6843172311782837e-01 3.3132901880890131e-03</leafValues></_>
-        <_>
-          <treeThreshold>3.9513347625732422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1323 2.1500000000000000e+01 0 -1 1324
-            4.5000000000000000e+00 -2 -3 1325 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7416687309741974e-01 -4.6917149424552917e-01
-            5.5244189500808716e-01 -4.0332382917404175e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9441356658935547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1326 2.5500000000000000e+01 0 -1 1327
-            5.0000000000000000e-01 -2 -3 1328 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.5569829940795898e-01 -8.3738613128662109e-01
-            5.1308917999267578e-01 -9.2380218207836151e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.9830265045166016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1329 6.8500000000000000e+01 0 -1 1330
-            1.2500000000000000e+01 -2 -3 1331 2043.</internalNodes>
-          <leafValues>
-            -1.6650912165641785e-01 3.8890799880027771e-01
-            -8.0130118131637573e-01 8.2459330558776855e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9304054260253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1332 5.0000000000000000e-01 0 -1 1333 3671. -2 -3 1334
-            3.8850000000000000e+02</internalNodes>
-          <leafValues>
-            4.6532985568046570e-01 -4.4042190909385681e-01
-            -5.5587589740753174e-01 1.3195018470287323e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9642890930175781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1335 8.5000000000000000e+00 0 -1 1336
-            2.1500000000000000e+01 -2 -3 1337 4.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -5.9328550100326538e-01 3.3883699774742126e-01
-            -6.9553929567337036e-01 1.5794724225997925e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9908969879150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1338 5.5000000000000000e+00 0 -1 1339
-            1.3500000000000000e+01 -2 -3 1340 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7269146442413330e-01 2.6607844233512878e-01
-            6.0325987637042999e-02 -6.9073736667633057e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9898288726806641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1341 2.5950000000000000e+02 0 -1 1342
-            1.5500000000000000e+01 -2 -3 1343 1467.</internalNodes>
-          <leafValues>
-            -7.4252463877201080e-02 6.0873824357986450e-01
-            8.6466276645660400e-01 -9.0673094987869263e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0200969696044922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1344 2.2500000000000000e+01 0 -1 1345
-            2.5000000000000000e+00 -2 -3 1346 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.9203126430511475e-01 3.0267745256423950e-01
-            5.9105551242828369e-01 -5.3770178556442261e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0379238128662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1347 2.9500000000000000e+01 0 -1 1348
-            8.3450000000000000e+02 -2 -3 1349 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.7345203757286072e-01 -8.9355528354644775e-01
-            5.5846959352493286e-01 -5.8389563113451004e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.0466419219970703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1350 3.1150000000000000e+02 0 -1 1351
-            5.0000000000000000e-01 -2 -3 1352 43.</internalNodes>
-          <leafValues>
-            3.1653991341590881e-01 -4.0619984269142151e-01
-            -9.6266198158264160e-01 5.1727998256683350e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0718650817871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1353 2.6150000000000000e+02 0 -1 1354 98. -2 -3 1355
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2089494466781616e-01 2.5222977995872498e-01
-            -6.5091305971145630e-01 5.5701977014541626e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0246669769287109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1356 5.0000000000000000e-01 0 -1 1357
-            7.5000000000000000e+00 -2 -3 1358 2.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2299337387084961e-01 5.0567185878753662e-01
-            -4.7197958827018738e-01 2.6619127392768860e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0419990539550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1359 5.4705000000000000e+03 0 -1 1360
-            5.4750000000000000e+02 -2 -3 1361 1.5750000000000000e+02</internalNodes>
-          <leafValues>
-            1.7332153022289276e-01 -6.0361874103546143e-01
-            -9.6441686153411865e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.1056423187255859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1362 5.0000000000000000e-01 0 -1 1363
-            3.5000000000000000e+00 -2 -3 1364 7.8350000000000000e+02</internalNodes>
-          <leafValues>
-            6.3643354177474976e-01 -8.3072267472743988e-02
-            -3.8505536317825317e-01 5.1825720071792603e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0787433624267578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1365 8.5000000000000000e+00 0 -1 1366
-            4.1250000000000000e+02 -2 -3 1367 3.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -2.2618213668465614e-02 -7.3404783010482788e-01
-            5.4074966907501221e-01 -6.5069526433944702e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0980438232421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1368 1.0750000000000000e+02 0 -1 1369
-            4.5500000000000000e+01 -2 -3 1370 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9288902878761292e-01 -7.8175473213195801e-01
-            4.1299736499786377e-01 -2.0014704763889313e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0946659088134766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1371 2.2500000000000000e+01 0 -1 1372
-            1.6500000000000000e+01 -2 -3 1373 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.0043293237686157e-01 2.2489283978939056e-01
-            5.3942525386810303e-01 -1.2392763793468475e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0625984191894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1374 5.8450000000000000e+02 0 -1 1375 3981. -2 -3 1376
-            3.8850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.5919399261474609e-01 7.3984676599502563e-01
-            6.0902094841003418e-01 -5.9394266456365585e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.1078342437744141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1377 1.5000000000000000e+00 0 -1 1378
-            9.5000000000000000e+00 -2 -3 1379 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4205194711685181e-01 5.8499878644943237e-01
-            4.5235899090766907e-01 -1.7015253007411957e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1278953552246094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1380 2.7950000000000000e+02 0 -1 1381
-            2.7950000000000000e+02 -2 -3 1382 7572.</internalNodes>
-          <leafValues>
-            -1.0575494915246964e-01 7.5965499877929688e-01
-            -5.6243377923965454e-01 1.3653093576431274e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1171962738037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1383 5.5000000000000000e+00 0 -1 1384
-            8.6950000000000000e+02 -2 -3 1385 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1256729364395142e-01 -4.9650138616561890e-01
-            5.3703850507736206e-01 -1.0799391567707062e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1153244018554688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1386 1.5000000000000000e+00 0 -1 1387
-            8.5000000000000000e+00 -2 -3 1388 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.8950442969799042e-01 5.2447348833084106e-01
-            -4.3827834725379944e-01 3.5529047250747681e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1464454650878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1389 2.7500000000000000e+01 0 -1 1390
-            3.1500000000000000e+01 -2 -3 1391 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4287273883819580e-01 3.1121128797531128e-01
-            2.0723707973957062e-01 -7.9717916250228882e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1779788970947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1392 1.5000000000000000e+00 0 -1 1393
-            1.8265000000000000e+03 -2 -3 1394 2.8650000000000000e+02</internalNodes>
-          <leafValues>
-            8.0022591352462769e-01 -2.8835564851760864e-01
-            3.1533339619636536e-01 -3.5018000006675720e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2194210052490234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1395 2.2500000000000000e+01 0 -1 1396
-            2.2500000000000000e+01 -2 -3 1397 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.3232901096343994e-01 -7.3244142532348633e-01
-            3.6955040693283081e-01 -2.0323853194713593e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1935131072998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1398 9.4500000000000000e+01 0 -1 1399
-            4.0500000000000000e+01 -2 -3 1400 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9609075784683228e-01 -4.6288254857063293e-01
-            6.2146210670471191e-01 -3.8049280643463135e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2215938568115234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1401 2.9500000000000000e+01 0 -1 1402
-            5.0000000000000000e-01 -2 -3 1403 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9385579526424408e-02 -7.3405563831329346e-01
-            -5.1055783033370972e-01 2.8080457448959351e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2273452758789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1404 4.5450000000000000e+02 0 -1 1405
-            5.8750000000000000e+02 -2 -3 1406 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.3196282386779785e-01 2.5219461321830750e-01
-            7.2692161798477173e-01 -8.5374397039413452e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2540458679199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1407 1.5000000000000000e+00 0 -1 1408
-            1.0500000000000000e+01 -2 -3 1409 3.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1572650671005249e-01 2.6700666546821594e-01
-            5.4633575677871704e-01 -6.4842927455902100e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2285171508789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1410 4.5000000000000000e+00 0 -1 1411
-            4.8500000000000000e+01 -2 -3 1412 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3229374289512634e-01 5.2580875158309937e-01
-            -3.8174706697463989e-01 6.1482822895050049e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2519309997558594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1413 1.2500000000000000e+01 0 -1 1414
-            7.5000000000000000e+00 -2 -3 1415 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.5897458791732788e-01 2.3413842916488647e-01
-            -6.6297173500061035e-01 9.3680036067962646e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2602912902832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1416 2.7850000000000000e+02 0 -1 1417
-            6.7750000000000000e+02 -2 -3 1418 6.5750000000000000e+02</internalNodes>
-          <leafValues>
-            -5.7975625991821289e-01 6.0615879297256470e-01
-            -4.7606697678565979e-01 1.9234745204448700e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2477813720703125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1419 3.5000000000000000e+00 0 -1 1420
-            5.0000000000000000e-01 -2 -3 1421 9.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 5.3890687227249146e-01 -2.7986538410186768e-01
-            5.5624389648437500e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2815971374511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1422 2.5000000000000000e+00 0 -1 1423 3470. -2 -3 1424
-            1.3150000000000000e+02</internalNodes>
-          <leafValues>
-            3.3815622329711914e-01 -6.8323451280593872e-01
-            -5.7661479711532593e-01 1.8929332494735718e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2939407348632812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1425 1835. 0 -1 1426 1485. -2 -3 1427
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.3249452114105225e-01 8.5018444061279297e-01
-            1.2343621253967285e-01 -4.1629931330680847e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2931537628173828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1428 6.5000000000000000e+00 0 -1 1429
-            9.5000000000000000e+00 -2 -3 1430 8.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8253604173660278e-01 2.3116320371627808e-01
-            4.4566446542739868e-01 -2.5381112098693848e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2532341003417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1431 801. 0 -1 1432 1.4500000000000000e+01 -2 -3 1433
-            2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3233406245708466e-01 -8.8682103157043457e-01
-            2.7638220787048340e-01 -3.9919924736022949e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2818271636962891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1434 3.3500000000000000e+01 0 -1 1435
-            5.0000000000000000e-01 -2 -3 1436 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.6199400424957275e-01 -7.7381122112274170e-01
-            3.9374157786369324e-01 -1.9156071543693542e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3225166320800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1437 3.0650000000000000e+02 0 -1 1438
-            3.5000000000000000e+00 -2 -3 1439 2.2750000000000000e+02</internalNodes>
-          <leafValues>
-            1.6485489904880524e-01 -5.3608208894729614e-01
-            4.0689289569854736e-01 -6.9017094373703003e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3414455413818359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1440 4.9500000000000000e+01 0 -1 1441
-            3.2550000000000000e+02 -2 -3 1442 7.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2704082727432251e-01 9.2259776592254639e-01
-            1.8928927183151245e-01 -7.1190369129180908e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3530220031738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1443 8.5000000000000000e+00 0 -1 1444
-            5.5000000000000000e+00 -2 -3 1445 33.</internalNodes>
-          <leafValues>
-            -2.6097178459167480e-01 3.5981386899948120e-01
-            5.5373930931091309e-01 -5.9446001052856445e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3589599609375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1446 1.7500000000000000e+01 0 -1 1447
-            1.5000000000000000e+00 -2 -3 1448 7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9150971174240112e-01 4.0421536564826965e-01
-            -5.9817147254943848e-01 1.3356564939022064e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3756496429443359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1449 2.7150000000000000e+02 0 -1 1450
-            3.1500000000000000e+01 -2 -3 1451 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5597035884857178e-01 7.5368809700012207e-01
-            2.0741133391857147e-01 -3.4641715884208679e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4184627532958984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1452 3.4445000000000000e+03 0 -1 1453
-            1.3500000000000000e+01 -2 -3 1454 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4672267735004425e-02 6.4763146638870239e-01
-            -5.8406358957290649e-01 9.5271444320678711e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4115615844726562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1455 351. 0 -1 1456 5.5000000000000000e+00 -2 -3 1457
-            1.3150000000000000e+02</internalNodes>
-          <leafValues>
-            1. -9.0385907888412476e-01 5.6236469745635986e-01
-            -6.9008864462375641e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.3778049468994141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1458 2.1950000000000000e+02 0 -1 1459
-            1.7500000000000000e+01 -2 -3 1460 1446.</internalNodes>
-          <leafValues>
-            1.1805868148803711e-01 -4.6155539155006409e-01
-            8.1571227312088013e-01 -4.5998147130012512e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3705924987792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1461 5.4500000000000000e+01 0 -1 1462
-            5.0000000000000000e-01 -2 -3 1463 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5270361304283142e-01 -7.6259005069732666e-01
-            -4.3407937884330750e-01 3.2683727145195007e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3761566162109375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1464 1.5000000000000000e+00 0 -1 1465
-            2.5000000000000000e+00 -2 -3 1466 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.2883574962615967e-01 4.9130806326866150e-01
-            7.2157061100006104e-01 -3.4332326054573059e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4159553527832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1467 1.8850000000000000e+02 0 -1 1468
-            4.4500000000000000e+01 -2 -3 1469 1.6865000000000000e+03</internalNodes>
-          <leafValues>
-            -1.2656107544898987e-01 3.9798957109451294e-01
-            -8.5940158367156982e-01 7.5859928131103516e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4086994171142578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1470 3.5000000000000000e+00 0 -1 1471
-            1.6500000000000000e+01 -2 -3 1472 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1025812625885010e-01 3.1149634718894958e-01
-            4.1715073585510254e-01 -5.0822889804840088e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4548297882080078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1473 5.0000000000000000e-01 0 -1 1474
-            6.3500000000000000e+01 -2 -3 1475 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9292996823787689e-01 5.2084052562713623e-01
-            -1.8266052007675171e-02 -7.4490708112716675e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4444839477539062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1476 5.5000000000000000e+00 0 -1 1477
-            1.8500000000000000e+01 -2 -3 1478 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8617092669010162e-02 5.7820588350296021e-01
-            -4.1243070363998413e-01 6.0866367816925049e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4468860626220703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1479 4.5000000000000000e+00 0 -1 1480
-            2.3450000000000000e+02 -2 -3 1481 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8463301062583923e-01 -8.2563692331314087e-01
-            -5.8707511425018311e-01 2.5017964839935303e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4571441650390625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1482 3.3450000000000000e+02 0 -1 1483
-            2.1500000000000000e+01 -2 -3 1484 946.</internalNodes>
-          <leafValues>
-            -4.3612629175186157e-01 1.0257755219936371e-01
-            9.7813111543655396e-01 -8.0724465847015381e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4642127990722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1485 1.5000000000000000e+00 0 -1 1486
-            8.5000000000000000e+00 -2 -3 1487 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3800437450408936e-01 6.0421532392501831e-01
-            -6.4370167255401611e-01 2.7616502717137337e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4928077697753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1488 5.0000000000000000e-01 0 -1 1489
-            2.6500000000000000e+01 -2 -3 1490 7.9250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.6210180521011353e-02 6.4315652847290039e-01
-            6.9847983121871948e-01 -3.6571246385574341e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4592266082763672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1491 5.0000000000000000e-01 0 -1 1492
-            5.5350000000000000e+02 -2 -3 1493 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.8149592280387878e-01 6.3860899209976196e-01
-            3.4885448217391968e-01 -3.3581241965293884e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4829784393310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1494 1.5500000000000000e+01 0 -1 1495
-            2.7850000000000000e+02 -2 -3 1496 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.8045026063919067e-01 -8.0610173940658569e-01
-            -5.2162581682205200e-01 2.3751950263977051e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5090461730957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1497 2.3500000000000000e+01 0 -1 1498
-            5.5000000000000000e+00 -2 -3 1499 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3596580922603607e-01 4.8954018950462341e-01
-            -5.6967926025390625e-01 3.6096325516700745e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5232925415039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1500 2154. 0 -1 1501 2.7550000000000000e+02 -2 -3 1502
-            128.</internalNodes>
-          <leafValues>
-            1.4246465265750885e-01 -8.8002961874008179e-01 1.
-            -9.7181195020675659e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5529132843017578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1503 5.8750000000000000e+02 0 -1 1504 3981. -2 -3 1505
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.8577227592468262e-01 5.8029693365097046e-01
-            4.0880706906318665e-01 -2.0956511795520782e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5304393768310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1506 1.6785000000000000e+03 0 -1 1507
-            4.2005000000000000e+03 -2 -3 1508 359.</internalNodes>
-          <leafValues>
-            2.9394268989562988e-02 8.0651479959487915e-01
-            -3.3733904361724854e-01 6.9124865531921387e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5737625122070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1509 2.7500000000000000e+01 0 -1 1510
-            5.0000000000000000e-01 -2 -3 1511 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7190417051315308e-01 -6.8398970365524292e-01
-            5.1673895120620728e-01 -5.9552457183599472e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5805149078369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1512 5.6550000000000000e+02 0 -1 1513
-            1.1500000000000000e+01 -2 -3 1514 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3953158855438232e-01 4.1888201236724854e-01
-            -7.7625131607055664e-01 -1.5986794605851173e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5724216461181641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1515 1.0500000000000000e+01 0 -1 1516
-            5.5000000000000000e+00 -2 -3 1517 25.</internalNodes>
-          <leafValues>
-            4.2757162451744080e-01 -2.2005110979080200e-01
-            -5.4273819923400879e-01 8.9083051681518555e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5885368347167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1518 238. 0 -1 1519 9.5000000000000000e+00 -2 -3 1520
-            2.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -9.5597231388092041e-01 5.2587646245956421e-01
-            1.6115142405033112e-01 -7.6278209686279297e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5789482116699219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1521 2.9500000000000000e+01 0 -1 1522
-            2.6500000000000000e+01 -2 -3 1523 1.5450000000000000e+02</internalNodes>
-          <leafValues>
-            1.6601219773292542e-01 -7.7067446708679199e-01
-            -6.6907399892807007e-01 2.2051426768302917e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5806617736816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1524 4.5000000000000000e+00 0 -1 1525
-            1.1500000000000000e+01 -2 -3 1526 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7005125284194946e-01 2.7322229743003845e-01
-            7.9801094532012939e-01 -5.2006053924560547e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6323131561279297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1527 1.3500000000000000e+01 0 -1 1528
-            3.4500000000000000e+01 -2 -3 1529 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5972643196582794e-02 5.1800715923309326e-01
-            3.3099360764026642e-02 -9.6488022804260254e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6282222747802734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1530 7.7250000000000000e+02 0 -1 1531
-            1.3500000000000000e+01 -2 -3 1532 1.1545000000000000e+03</internalNodes>
-          <leafValues>
-            -1.0771922767162323e-02 -8.7211072444915771e-01
-            7.0063769817352295e-01 -4.2402658611536026e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6205421447753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1533 1.5000000000000000e+00 0 -1 1534
-            1.1500000000000000e+01 -2 -3 1535 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.8480374813079834e-01 4.9849182367324829e-01
-            2.8026169538497925e-01 -3.8838988542556763e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6704681396484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1536 2.5650000000000000e+02 0 -1 1537
-            9.5000000000000000e+00 -2 -3 1538 3.6145000000000000e+03</internalNodes>
-          <leafValues>
-            8.8258177042007446e-01 -1. -6.1924713850021362e-01
-            6.9299057126045227e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6858192443847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1539 1.6500000000000000e+01 0 -1 1540
-            2.1950000000000000e+02 -2 -3 1541 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.5154920816421509e-01 -7.6912820339202881e-01
-            4.3404066562652588e-01 -1.0876829922199249e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6701599121093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1542 3.5000000000000000e+00 0 -1 1543
-            4.1500000000000000e+01 -2 -3 1544 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.0593466758728027e-01 6.3903629779815674e-01
-            4.0837219357490540e-01 -1.5659359097480774e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6904064178466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1545 2.9500000000000000e+01 0 -1 1546
-            1.5000000000000000e+00 -2 -3 1547 219.</internalNodes>
-          <leafValues>
-            -4.2634201049804688e-01 2.0246233046054840e-01
-            -8.5641664266586304e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.6656322479248047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1548 6.5000000000000000e+00 0 -1 1549
-            3.2500000000000000e+01 -2 -3 1550 4.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4700936675071716e-01 6.6941606998443604e-01
-            3.2602754235267639e-01 -3.6878246068954468e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6564968109130859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1551 1.2450000000000000e+02 0 -1 1552
-            5.5000000000000000e+00 -2 -3 1553 2.4150000000000000e+02</internalNodes>
-          <leafValues>
-            4.5446833968162537e-01 -3.7261262536048889e-01
-            4.6772354841232300e-01 -7.1237772703170776e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6805198669433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1554 4.5000000000000000e+00 0 -1 1555
-            7.3500000000000000e+01 -2 -3 1556 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4023169279098511e-01 -4.3494370579719543e-01
-            -8.5679495334625244e-01 5.3150933980941772e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6938976287841797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1557 2.0850000000000000e+02 0 -1 1558
-            1.5000000000000000e+00 -2 -3 1559 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.3377590477466583e-01 -4.7894757986068726e-01
-            -7.4763888120651245e-01 4.7673630714416504e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7246456146240234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1560 2.5000000000000000e+00 0 -1 1561 6. -2 -3 1562
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0447050333023071e-01 8.6583727598190308e-01
-            3.0747944116592407e-01 -2.1712197363376617e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7012886047363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1563 1.0500000000000000e+01 0 -1 1564
-            2.5000000000000000e+00 -2 -3 1565 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6812806129455566e-01 7.4207389354705811e-01
-            -4.6920669078826904e-01 2.0873917639255524e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7398384094238281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1566 5.0000000000000000e-01 0 -1 1567
-            4.1500000000000000e+01 -2 -3 1568 1.2365000000000000e+03</internalNodes>
-          <leafValues>
-            -2.2475609183311462e-01 5.0746756792068481e-01
-            -5.6809660047292709e-02 -7.4659413099288940e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7630195617675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1569 7.5000000000000000e+00 0 -1 1570
-            4.5500000000000000e+01 -2 -3 1571 27.</internalNodes>
-          <leafValues>
-            2.3181208968162537e-01 -6.4988273382186890e-01
-            -6.4328664541244507e-01 6.1851358413696289e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7380603790283203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1572 5.5000000000000000e+00 0 -1 1573
-            2.5000000000000000e+00 -2 -3 1574 1.8650000000000000e+02</internalNodes>
-          <leafValues>
-            6.1403033323585987e-03 -5.5332463979721069e-01
-            4.5167797803878784e-01 -7.4148744344711304e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7716838836669922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1575 5.0500000000000000e+01 0 -1 1576 340. -2 -3 1577
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3912079930305481e-01 -7.3454135656356812e-01
-            6.4382767677307129e-01 -1.5953628346323967e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.7556518554687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1578 8.4500000000000000e+01 0 -1 1579 311. -2 -3 1580
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            8.0123282968997955e-02 -7.0855069160461426e-01
-            4.7582688927650452e-01 -1.6031953692436218e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7572052001953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1581 4.1250000000000000e+02 0 -1 1582
-            2.5000000000000000e+00 -2 -3 1583 1.0405000000000000e+03</internalNodes>
-          <leafValues>
-            5.3272254765033722e-02 -6.1080712080001831e-01
-            5.7476472854614258e-01 -3.3661961555480957e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7565738677978516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1584 8.1450000000000000e+02 0 -1 1585
-            5.7750000000000000e+02 -2 -3 1586 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.0671536922454834e-01 -4.1966786980628967e-01
-            1.6598591208457947e-01 -3.8562926650047302e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7773296356201172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1587 1.5000000000000000e+00 0 -1 1588 1174. -2 -3 1589
-            3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -9.7881591320037842e-01 2.0755772292613983e-01
-            -5.1666331291198730e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8310127258300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1590 1.9500000000000000e+01 0 -1 1591
-            5.0000000000000000e-01 -2 -3 1592 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.0349156856536865e-01 -7.1407133340835571e-01
-            5.4187601804733276e-01 -9.5178633928298950e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8071701049804688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1593 801. 0 -1 1594 8.5000000000000000e+00 -2 -3 1595
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.3842808604240417e-01 4.0528839826583862e-01
-            8.4955078363418579e-01 -9.1280186176300049e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8208892822265625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1596 6.5000000000000000e+00 0 -1 1597
-            4.1500000000000000e+01 -2 -3 1598 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3895512819290161e-01 3.3225542306900024e-01
-            -5.6959801912307739e-01 1.9758279621601105e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8468334197998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1599 644. 0 -1 1600 3.1500000000000000e+01 -2 -3 1601
-            2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6466782689094543e-01 -7.2437942028045654e-01
-            2.5944426655769348e-01 -5.1669490337371826e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8280807495117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1602 5.8750000000000000e+02 0 -1 1603 998. -2 -3 1604
-            1.9450000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6361049413681030e-01 8.2740515470504761e-01
-            7.3864108324050903e-01 -3.1339693814516068e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8574962615966797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1605 2.3450000000000000e+02 0 -1 1606
-            1.5000000000000000e+00 -2 -3 1607 1.4050000000000000e+02</internalNodes>
-          <leafValues>
-            3.6085158586502075e-01 -1.9539615511894226e-01
-            -9.4802927970886230e-01 2.6839014887809753e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8454341888427734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1608 3.9500000000000000e+01 0 -1 1609
-            5.0000000000000000e-01 -2 -3 1610 1.6650000000000000e+02</internalNodes>
-          <leafValues>
-            1.0862217843532562e-01 -5.7014846801757812e-01
-            3.1803789734840393e-01 -8.6990028619766235e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8686836242675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1611 7.5000000000000000e+00 0 -1 1612
-            4.4500000000000000e+01 -2 -3 1613 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.4552764296531677e-01 -9.6768623590469360e-01
-            3.7845483422279358e-01 -2.0616437494754791e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8645317077636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1614 2.1500000000000000e+01 0 -1 1615
-            5.7500000000000000e+01 -2 -3 1616 9.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0209166407585144e-01 -3.7205338478088379e-01
-            6.6951900720596313e-01 -9.7072052955627441e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8846817016601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1617 1.8500000000000000e+01 0 -1 1618
-            1.9500000000000000e+01 -2 -3 1619 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.0423774719238281e-01 4.2085230350494385e-01
-            2.0150278508663177e-01 -6.7301428318023682e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8628437042236328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1620 291. 0 -1 1621 6.5000000000000000e+00 -2 -3 1622
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5333371758460999e-01 -9.6325629949569702e-01
-            -6.0980123281478882e-01 1.4127761125564575e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8402679443359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1623 2.1050000000000000e+02 0 -1 1624
-            6.5000000000000000e+00 -2 -3 1625 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4403830766677856e-02 -5.8541810512542725e-01
-            -6.9637399911880493e-01 4.9845540523529053e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8841716766357422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1626 7.5000000000000000e+00 0 -1 1627
-            4.9500000000000000e+01 -2 -3 1628 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3903854489326477e-01 -6.2086170911788940e-01
-            -6.5002232789993286e-01 -1.5730377286672592e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.9389339447021484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1629 80. 0 -1 1630 3.5000000000000000e+00 -2 -3 1631
-            1.0255000000000000e+03</internalNodes>
-          <leafValues>
-            3.1859183311462402e-01 -4.2584937810897827e-01
-            -8.9118802547454834e-01 5.4762154817581177e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8809658050537109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1632 5.0000000000000000e-01 0 -1 1633
-            9.1500000000000000e+01 -2 -3 1634 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0882329344749451e-01 5.9099739789962769e-01
-            3.5995401442050934e-02 -5.7967907190322876e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9262874603271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1635 2.3500000000000000e+01 0 -1 1636 2138. -2 -3 1637
-            7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5881242752075195e-01 -6.5358424186706543e-01
-            -4.4690254330635071e-01 4.5321631431579590e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9810745239257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1638 2.8905000000000000e+03 0 -1 1639
-            1.4034500000000000e+04 -2 -3 1640 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.9278053045272827e-01 -9.4314843416213989e-01
-            3.9468899369239807e-01 -2.7942237257957458e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9740810394287109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1641 5.0000000000000000e-01 0 -1 1642 13. -2 -3 1643
-            6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7298115491867065e-01 7.5200670957565308e-01
-            1.9612585008144379e-01 -5.2234607934951782e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9890090942382812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1644 7.5000000000000000e+00 0 -1 1645
-            8.5000000000000000e+00 -2 -3 1646 381.</internalNodes>
-          <leafValues>
-            -5.6059420108795166e-01 5.0415074825286865e-01
-            4.8369589447975159e-01 -3.1803038716316223e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9964401245117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1647 5.0000000000000000e-01 0 -1 1648
-            6.5000000000000000e+00 -2 -3 1649 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7737157344818115e-01 5.3311198949813843e-01
-            -4.1340222954750061e-01 2.4446828663349152e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0132915496826172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1650 1.0500000000000000e+01 0 -1 1651
-            9.5000000000000000e+00 -2 -3 1652 182.</internalNodes>
-          <leafValues>
-            -2.6112908124923706e-01 4.9358665943145752e-01
-            6.2064582109451294e-01 -4.5646050572395325e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0014610290527344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1653 6.5000000000000000e+00 0 -1 1654 2329. -2 -3 1655
-            6.6350000000000000e+02</internalNodes>
-          <leafValues>
-            4.0677326917648315e-01 -7.2954016923904419e-01
-            -5.2711308002471924e-01 2.2369565069675446e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0282009124755859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1656 1513. 0 -1 1657 6.6500000000000000e+01 -2 -3 1658
-            2.0125000000000000e+03</internalNodes>
-          <leafValues>
-            -9.2653149366378784e-01 5.6927061080932617e-01
-            6.3748288154602051e-01 -6.0769841074943542e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0116958618164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1659 1.4500000000000000e+01 0 -1 1660
-            3.5000000000000000e+00 -2 -3 1661 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6243766546249390e-01 8.8660824298858643e-01
-            4.5358371734619141e-01 -1.6504985094070435e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0264678955078125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1662 1.1500000000000000e+01 0 -1 1663
-            4.5000000000000000e+00 -2 -3 1664 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9545702934265137e-01 1. 2.3749004304409027e-01
-            -4.1009184718132019e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0537300109863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1665 6.5000000000000000e+00 0 -1 1666
-            1.1500000000000000e+01 -2 -3 1667 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8909458816051483e-01 -6.9768869876861572e-01
-            -3.7118515372276306e-01 2.7262043952941895e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0127769470214844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1668 2.5000000000000000e+00 0 -1 1669 49. -2 -3 1670
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0132219791412354e-01 4.8064956068992615e-01
-            2.1170513331890106e-01 -4.0953138470649719e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0477714538574219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1671 2.5000000000000000e+00 0 -1 1672
-            1.5650000000000000e+02 -2 -3 1673 1.1995000000000000e+03</internalNodes>
-          <leafValues>
-            3.4994655847549438e-01 -7.3900407552719116e-01
-            -6.3774943351745605e-01 -4.0900995954871178e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.0603004455566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1674 2.7950000000000000e+02 0 -1 1675 8514. -2 -3 1676
-            4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            9.1369850561022758e-03 8.2339012622833252e-01
-            -5.2016735076904297e-01 1.2528854608535767e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0545921325683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1677 3.5000000000000000e+00 0 -1 1678
-            3.9500000000000000e+01 -2 -3 1679 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.4933063089847565e-01 4.4103890657424927e-01
-            -5.4845666885375977e-01 3.5070386528968811e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0866680145263672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1680 5.1950000000000000e+02 0 -1 1681
-            1.2150000000000000e+02 -2 -3 1682 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.7503215372562408e-01 3.2076016068458557e-01
-            5.0803476572036743e-01 -9.5718288421630859e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0898628234863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1683 5.0000000000000000e-01 0 -1 1684
-            6.5000000000000000e+00 -2 -3 1685 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3207756280899048e-01 7.2688364982604980e-01
-            8.6272723972797394e-02 -4.6617463231086731e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0805313110351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1686 5.7750000000000000e+02 0 -1 1687
-            6.5000000000000000e+00 -2 -3 1688 1.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3755981922149658e-01 5.7054156064987183e-01
-            4.9337804317474365e-01 -9.3315914273262024e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0919166564941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1689 1.5095000000000000e+03 0 -1 1690
-            7.5000000000000000e+00 -2 -3 1691 6720.</internalNodes>
-          <leafValues>
-            2.1196880936622620e-01 -3.8356184959411621e-01
-            5.3207170963287354e-01 -7.4764668941497803e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0936717987060547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1692 4.0500000000000000e+01 0 -1 1693
-            1.5000000000000000e+00 -2 -3 1694 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.7224005907773972e-02 -8.9793884754180908e-01
-            7.6496970653533936e-01 1.7551671713590622e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1368896484375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1695 2.5550000000000000e+02 0 -1 1696 1484. -2 -3 1697
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 9.0734022855758667e-01 -2.2103266417980194e-01
-            4.3218004703521729e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1568653106689453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1698 8.1615000000000000e+03 0 -1 1699
-            5.0000000000000000e-01 -2 -3 1700 28.</internalNodes>
-          <leafValues>
-            -9.8341357707977295e-01 1.9975320994853973e-01
-            -1.2860924005508423e-01 -9.3606525659561157e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1350795745849609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1701 5.0000000000000000e-01 0 -1 1702
-            1.8500000000000000e+01 -2 -3 1703 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.4128049612045288e-01 3.7650343775749207e-01
-            3.4844925999641418e-01 -4.2916879057884216e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1636371612548828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1704 3.5000000000000000e+00 0 -1 1705 32. -2 -3 1706
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.1778641939163208e-01 -3.0592209100723267e-01
-            2.8557664155960083e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2074638366699219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1707 4.5000000000000000e+00 0 -1 1708
-            2.5500000000000000e+01 -2 -3 1709 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.7822149395942688e-01 4.3826532363891602e-01
-            -5.1980108022689819e-01 4.8558112978935242e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1970214843750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1710 5.9500000000000000e+01 0 -1 1711
-            1.0500000000000000e+01 -2 -3 1712 544.</internalNodes>
-          <leafValues>
-            3.5063171386718750e-01 -3.3192864060401917e-01
-            -6.3897025585174561e-01 2.3550751805305481e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2024555206298828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1713 4.5000000000000000e+00 0 -1 1714
-            1.3950000000000000e+02 -2 -3 1715 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.8414461016654968e-01 -5.8255207538604736e-01
-            -6.8949204683303833e-01 3.0280160903930664e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1652011871337891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1716 1.5000000000000000e+00 0 -1 1717
-            1.0500000000000000e+01 -2 -3 1718 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.4423668384552002e-01 7.1819794178009033e-01
-            1.2163987010717392e-01 -4.3241024017333984e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2231746673583984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1719 2.1550000000000000e+02 0 -1 1720
-            5.0000000000000000e-01 -2 -3 1721 1966.</internalNodes>
-          <leafValues>
-            1.3263493776321411e-01 -4.2725384235382080e-01
-            8.6758172512054443e-01 -2.6626121997833252e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2511852264404297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1722 5.3450000000000000e+02 0 -1 1723
-            1.1500000000000000e+01 -2 -3 1724 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.5023856759071350e-01 -8.6206442117691040e-01
-            -4.7992885112762451e-01 2.8010553121566772e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2546646118164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1725 1.2500000000000000e+01 0 -1 1726
-            3.2500000000000000e+01 -2 -3 1727 5.8895000000000000e+03</internalNodes>
-          <leafValues>
-            -1.0283301770687103e-01 5.0622606277465820e-01
-            3.4796718508005142e-02 -7.5529223680496216e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2223571777343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1728 5.0000000000000000e-01 0 -1 1729
-            5.8550000000000000e+02 -2 -3 1730 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2307562232017517e-01 4.2715775966644287e-01
-            5.5647647380828857e-01 -4.0453824400901794e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2863487243652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1731 3.3595000000000000e+03 0 -1 1732
-            1.6685000000000000e+03 -2 -3 1733 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1682216823101044e-01 7.5274443626403809e-01
-            -3.0044618248939514e-01 7.6707494258880615e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3050804138183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1734 1.5000000000000000e+00 0 -1 1735
-            1.5500000000000000e+01 -2 -3 1736 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9346052408218384e-01 -9.0690630674362183e-01
-            -9.2264664173126221e-01 1.8731895089149475e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3262607574462891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1737 5.0000000000000000e-01 0 -1 1738
-            3.5000000000000000e+00 -2 -3 1739 3.3550000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2821202278137207e-01 5.9129446744918823e-01
-            -5.1578968763351440e-01 9.9953614175319672e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.3258419036865234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1740 1.9500000000000000e+01 0 -1 1741
-            1.2500000000000000e+01 -2 -3 1742 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.8119539618492126e-01 -1.9959560036659241e-01
-            6.4132863283157349e-01 -7.4302184581756592e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3413326263427734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1743 7.6500000000000000e+01 0 -1 1744
-            5.8750000000000000e+02 -2 -3 1745 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.1226209402084351e-01 1.5490560233592987e-01
-            -9.5072907209396362e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.3368370056152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1746 1.4355000000000000e+03 0 -1 1747
-            2.5293500000000000e+04 -2 -3 1748 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4957466423511505e-02 7.0797920227050781e-01
-            2.4098557233810425e-01 -5.3875494003295898e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3336959838867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1749 2.5500000000000000e+01 0 -1 1750
-            2.0500000000000000e+01 -2 -3 1751 2.7375000000000000e+03</internalNodes>
-          <leafValues>
-            -7.6909404993057251e-01 -4.0910251438617706e-02
-            -8.7062567472457886e-02 6.8476140499114990e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3268756866455078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1752 3.7500000000000000e+01 0 -1 1753 2449. -2 -3 1754
-            3.4085000000000000e+03</internalNodes>
-          <leafValues>
-            2.9082170128822327e-01 -3.9411529898643494e-01
-            6.2446767091751099e-01 -7.7681422233581543e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3295890808105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1755 1.5500000000000000e+01 0 -1 1756
-            1.5000000000000000e+00 -2 -3 1757 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3223483562469482e-01 -3.3189105987548828e-01
-            8.2484543323516846e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.3821460723876953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1758 7.5000000000000000e+00 0 -1 1759 32. -2 -3 1760
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.7407427132129669e-02 -9.0338480472564697e-01
-            5.2557128667831421e-01 -8.5458166897296906e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.3644256591796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1761 2.3500000000000000e+01 0 -1 1762
-            1.7500000000000000e+01 -2 -3 1763 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9049738347530365e-01 -6.4127218723297119e-01
-            -5.8284378051757812e-01 3.6358082294464111e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3565219879150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1764 5.0000000000000000e-01 0 -1 1765
-            5.5000000000000000e+00 -2 -3 1766 6.2650000000000000e+02</internalNodes>
-          <leafValues>
-            -9.1313230991363525e-01 3.1892377138137817e-01
-            -5.0848573446273804e-01 4.0014332532882690e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3612766265869141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1767 2.7500000000000000e+01 0 -1 1768
-            1.1850000000000000e+02 -2 -3 1769 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1785164475440979e-01 4.6228489279747009e-01
-            8.3617496490478516e-01 -7.2740668058395386e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3733577728271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1770 1.3500000000000000e+01 0 -1 1771
-            6.5000000000000000e+00 -2 -3 1772 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3037781119346619e-01 4.0931895375251770e-01
-            -8.7283575534820557e-01 -1.1174897849559784e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3474098205566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1773 2.2500000000000000e+01 0 -1 1774
-            1.5000000000000000e+00 -2 -3 1775 6.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9783071875572205e-01 3.2450476288795471e-01
-            -5.4798841476440430e-01 4.3143227696418762e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3782051086425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1776 7.5000000000000000e+00 0 -1 1777
-            7.5000000000000000e+00 -2 -3 1778 5.8850000000000000e+02</internalNodes>
-          <leafValues>
-            3.0795454978942871e-01 -4.3086576461791992e-01
-            2.5671597104519606e-03 -7.0709168910980225e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4081798553466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1779 4.1250000000000000e+02 0 -1 1780 2532. -2 -3 1781
-            4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1845014244318008e-01 -4.8000225424766541e-01
-            -7.1575754880905151e-01 4.8367628455162048e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3729518890380859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1782 4.5000000000000000e+00 0 -1 1783
-            4.0500000000000000e+01 -2 -3 1784 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.5016943216323853e-01 4.5923739671707153e-01
-            7.4234819412231445e-01 -3.5227757692337036e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3706134796142578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1785 1.7500000000000000e+01 0 -1 1786
-            2.0500000000000000e+01 -2 -3 1787 35.</internalNodes>
-          <leafValues>
-            -2.3385923355817795e-02 5.5982124805450439e-01
-            -7.7798545360565186e-01 5.9317058324813843e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4069709777832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1788 3.0650000000000000e+02 0 -1 1789
-            6.7500000000000000e+01 -2 -3 1790 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.0442806184291840e-01 3.6357563734054565e-01
-            4.3344959616661072e-01 -7.8407233953475952e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4122543334960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1791 6.9550000000000000e+02 0 -1 1792
-            2.0150000000000000e+02 -2 -3 1793 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.8922367095947266e-01 4.2674824595451355e-01
-            -6.8660050630569458e-01 5.2831500768661499e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4034683227539062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1794 5.0000000000000000e-01 0 -1 1795
-            5.9715000000000000e+03 -2 -3 1796 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2834486961364746e-01 4.5531541109085083e-01
-            1.1746359616518021e-01 -4.9576222896575928e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4980464935302734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1797 1.3500000000000000e+01 0 -1 1798
-            2.9450000000000000e+02 -2 -3 1799 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2881252467632294e-02 -9.8305457830429077e-01
-            9.4577944278717041e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.5089954376220703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1800 2.5000000000000000e+00 0 -1 1801 39. -2 -3 1802
-            9.4950000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 1. 1.6094356775283813e-01 -5.4309475421905518e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5099483489990234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1803 5.7850000000000000e+02 0 -1 1804
-            4.2500000000000000e+01 -2 -3 1805 5.7750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.0962339639663696e-01 1. 7.6542943716049194e-01
-            -4.1924782097339630e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4866825103759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1806 1328. 0 -1 1807 1.5000000000000000e+00 -2 -3 1808
-            5.5285000000000000e+03</internalNodes>
-          <leafValues>
-            3.6924600601196289e-01 -2.3265689611434937e-01
-            9.9105215072631836e-01 -8.4446805715560913e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5432411193847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1809 2.5500000000000000e+01 0 -1 1810
-            1.1500000000000000e+01 -2 -3 1811 7.4350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2548126578330994e-01 2.2827453911304474e-01
-            7.1661698818206787e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.5408927917480469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1812 5.0000000000000000e-01 0 -1 1813
-            3.5000000000000000e+00 -2 -3 1814 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4099457263946533e-01 3.7504613399505615e-01
-            -6.2640714645385742e-01 8.4968566894531250e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5198207855224609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1815 1.5000000000000000e+00 0 -1 1816
-            6.5000000000000000e+00 -2 -3 1817 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 6.4012116193771362e-01 -2.1071846783161163e-01
-            6.4778321981430054e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5283359527587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1818 2.5000000000000000e+00 0 -1 1819
-            5.0000000000000000e-01 -2 -3 1820 2.4550000000000000e+02</internalNodes>
-          <leafValues>
-            4.5631405711174011e-01 -1.3484077155590057e-01
-            -5.9344494342803955e-01 1.6467481851577759e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5470157623291016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1821 3.5000000000000000e+00 0 -1 1822
-            9.5000000000000000e+00 -2 -3 1823 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -1. -4.3856528401374817e-01 1.8679495155811310e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5202453613281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1824 5.6150000000000000e+02 0 -1 1825 4192. -2 -3 1826
-            1.2425000000000000e+03</internalNodes>
-          <leafValues>
-            -1.4592270553112030e-01 5.8146274089813232e-01
-            -5.5671817064285278e-01 1.2355826795101166e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5569751739501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1827 2.1500000000000000e+01 0 -1 1828
-            5.5000000000000000e+00 -2 -3 1829 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8071776628494263e-01 3.6730051040649414e-01
-            -1.3501003384590149e-01 -9.1282844543457031e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5779064178466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1830 3.3500000000000000e+01 0 -1 1831
-            9.5000000000000000e+00 -2 -3 1832 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2467505335807800e-01 -7.8718549013137817e-01
-            5.1464933156967163e-01 -1.6156230866909027e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5348117828369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1833 3.7650000000000000e+02 0 -1 1834
-            5.5750000000000000e+02 -2 -3 1835 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1101077795028687e-01 6.3146162033081055e-01
-            1.3779489696025848e-01 -4.3094816803932190e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5919422149658203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1836 3.7500000000000000e+01 0 -1 1837
-            5.0000000000000000e-01 -2 -3 1838 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4091222286224365e-01 -3.4007987380027771e-01
-            5.7130312919616699e-01 -6.3140660524368286e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5871620178222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1839 7.5000000000000000e+00 0 -1 1840
-            1.6500000000000000e+01 -2 -3 1841 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.2035612165927887e-01 -9.4882357120513916e-01
-            5.1813077926635742e-01 -4.7800488770008087e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6252223968505859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1842 1.1950000000000000e+02 0 -1 1843
-            9.5500000000000000e+01 -2 -3 1844 3.6850000000000000e+02</internalNodes>
-          <leafValues>
-            3.8002592325210571e-01 -3.4263178706169128e-01
-            5.1846081018447876e-01 -7.4162709712982178e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6455226898193359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1845 5.0000000000000000e-01 0 -1 1846 12. -2 -3 1847
-            3.2995000000000000e+03</internalNodes>
-          <leafValues>
-            -9.0239804983139038e-01 3.5835075378417969e-01
-            -3.9121779799461365e-01 8.4680241346359253e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6692668914794922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1848 2.5000000000000000e+00 0 -1 1849
-            5.0000000000000000e-01 -2 -3 1850 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6832201480865479e-01 3.5786366462707520e-01
-            -6.5906804800033569e-01 3.1783048063516617e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6752792358398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1851 1.0500000000000000e+01 0 -1 1852
-            6.5500000000000000e+01 -2 -3 1853 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.6706490218639374e-02 -8.7982815504074097e-01
-            5.6353557109832764e-01 -6.0297027230262756e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6775104522705078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1854 2.0150000000000000e+02 0 -1 1855
-            1.0500000000000000e+01 -2 -3 1856 2.8650000000000000e+02</internalNodes>
-          <leafValues>
-            7.4959583580493927e-02 -5.7888466119766235e-01
-            6.6168105602264404e-01 -9.9754244089126587e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6972690582275391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1857 1.6150000000000000e+02 0 -1 1858
-            1.5500000000000000e+01 -2 -3 1859 24.</internalNodes>
-          <leafValues>
-            -7.3095875978469849e-01 1.9758741557598114e-01
-            -8.8720643520355225e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.7200763702392578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1860 5.0000000000000000e-01 0 -1 1861
-            8.8500000000000000e+01 -2 -3 1862 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3610743284225464e-01 -8.8137799501419067e-01
-            -6.0375785827636719e-01 1.2033233046531677e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7070457458496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1863 2.1500000000000000e+01 0 -1 1864
-            1.4500000000000000e+01 -2 -3 1865 5.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7666543722152710e-01 7.4382346868515015e-01
-            4.3915370106697083e-01 -1.3030719757080078e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6970527648925781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1866 1.0500000000000000e+01 0 -1 1867
-            8.5000000000000000e+00 -2 -3 1868 142.</internalNodes>
-          <leafValues>
-            -3.9075690507888794e-01 2.1810866892337799e-01
-            7.3304098844528198e-01 -1.5522833168506622e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7172351837158203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1869 8.3500000000000000e+01 0 -1 1870
-            5.0000000000000000e-01 -2 -3 1871 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.7355487942695618e-01 -8.4495109319686890e-01
-            -8.0800145864486694e-01 2.0182393491268158e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7369266510009766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1872 1.3500000000000000e+01 0 -1 1873
-            2.2050000000000000e+02 -2 -3 1874 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.0745425820350647e-01 -5.7873797416687012e-01
-            7.1144923567771912e-02 -7.0968645811080933e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7163673400878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1875 3.0500000000000000e+01 0 -1 1876
-            1.7955000000000000e+03 -2 -3 1877 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0770485997200012e-01 -6.0543429851531982e-01
-            3.7602424621582031e-01 -2.8918644785881042e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6786552429199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1878 6.8500000000000000e+01 0 -1 1879
-            5.5000000000000000e+00 -2 -3 1880 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1757279932498932e-01 -5.8252972364425659e-01
-            -3.8951548933982849e-01 5.1052653789520264e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6868556976318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1881 6.5000000000000000e+00 0 -1 1882
-            2.5000000000000000e+00 -2 -3 1883 2.6950000000000000e+02</internalNodes>
-          <leafValues>
-            8.2006074488162994e-02 -5.1789224147796631e-01
-            5.3505361080169678e-01 -9.4605493545532227e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7130115509033203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1884 8.5000000000000000e+00 0 -1 1885
-            1.9150000000000000e+02 -2 -3 1886 2.9450000000000000e+02</internalNodes>
-          <leafValues>
-            4.5292165875434875e-01 -4.3888345360755920e-01
-            4.7173380851745605e-01 -5.1566743850708008e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7406742095947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1887 5.5000000000000000e+00 0 -1 1888
-            4.5000000000000000e+00 -2 -3 1889 7.9850000000000000e+02</internalNodes>
-          <leafValues>
-            -3.7859401106834412e-01 5.5919343233108521e-01
-            -5.8277565240859985e-01 6.6450834274291992e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.7422473907470703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1890 5.6150000000000000e+02 0 -1 1891 4961. -2 -3 1892
-            4.8705000000000000e+03</internalNodes>
-          <leafValues>
-            -4.5244730426929891e-04 8.3497661352157593e-01
-            -6.8882519006729126e-01 1.5732206404209137e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.7687702178955078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1893 1.4500000000000000e+01 0 -1 1894
-            4.1335000000000000e+03 -2 -3 1895 7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6522731781005859e-01 -8.9758622646331787e-01
-            -6.0936498641967773e-01 4.6634823083877563e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7540111541748047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1896 2.9500000000000000e+01 0 -1 1897
-            5.5000000000000000e+00 -2 -3 1898 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3110167980194092e-01 1. 3.9634063839912415e-01
-            -1.9126465916633606e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7616504669189453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1899 7.5000000000000000e+00 0 -1 1900 397. -2 -3 1901
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.1867322921752930e-01 -5.4185843467712402e-01
-            5.2771824598312378e-01 -1.5528239309787750e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7763866424560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1902 2.1500000000000000e+01 0 -1 1903
-            1.7050000000000000e+02 -2 -3 1904 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9671201109886169e-01 -8.4789550304412842e-01
-            -5.6201756000518799e-01 2.5604116916656494e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7565292358398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1905 5.0000000000000000e-01 0 -1 1906
-            2.1350000000000000e+02 -2 -3 1907 3.6950000000000000e+02</internalNodes>
-          <leafValues>
-            5.7148373126983643e-01 -8.4696042537689209e-01
-            -3.0725291371345520e-01 5.5036330223083496e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7710926055908203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1908 1.2500000000000000e+01 0 -1 1909
-            4.5000000000000000e+00 -2 -3 1910 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8967974185943604e-01 3.9181429147720337e-01
-            -6.0330241918563843e-01 2.1838249266147614e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8008132934570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1911 9.5000000000000000e+00 0 -1 1912 270. -2 -3 1913
-            3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9720637202262878e-01 -7.7370458841323853e-01
-            -7.1012228727340698e-01 1.2770961225032806e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8256633758544922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1914 6.3500000000000000e+01 0 -1 1915
-            3.7500000000000000e+01 -2 -3 1916 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4066715240478516e-01 8.2518380880355835e-01
-            2.9887351393699646e-01 -4.9117338657379150e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8460075378417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1917 1.2500000000000000e+01 0 -1 1918
-            3.1500000000000000e+01 -2 -3 1919 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.4090422093868256e-02 5.7412135601043701e-01
-            7.2392117977142334e-01 -6.3018786907196045e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8618007659912109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1920 5.0000000000000000e-01 0 -1 1921
-            1.5500000000000000e+01 -2 -3 1922 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.6668690443038940e-01 3.7771463394165039e-01
-            2.2855560481548309e-01 -4.7967869043350220e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8478435516357422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1923 7.5000000000000000e+00 0 -1 1924
-            1.5000000000000000e+00 -2 -3 1925 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.2515745759010315e-01 -5.5478894710540771e-01
-            4.5419645309448242e-01 -1.3957175612449646e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8872611999511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1926 1.8350000000000000e+02 0 -1 1927
-            4.0500000000000000e+01 -2 -3 1928 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0008619129657745e-01 3.9417695999145508e-01
-            -9.6238315105438232e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.8883186340332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1929 1.2500000000000000e+01 0 -1 1930
-            3.5000000000000000e+00 -2 -3 1931 2.1050000000000000e+02</internalNodes>
-          <leafValues>
-            6.1217731237411499e-01 -1.9048878923058510e-02
-            -7.2783750295639038e-01 8.3897627890110016e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.8808357238769531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1932 4.6500000000000000e+01 0 -1 1933
-            3.5000000000000000e+00 -2 -3 1934 2.8650000000000000e+02</internalNodes>
-          <leafValues>
-            1.3248841464519501e-01 -6.7872178554534912e-01
-            4.7229564189910889e-01 -1.4815118908882141e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9144462585449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1935 1.4500000000000000e+01 0 -1 1936
-            1.6500000000000000e+01 -2 -3 1937 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5575122833251953e-01 6.0179513692855835e-01
-            3.3610317111015320e-01 -2.4818602204322815e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9101814270019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1938 5.0000000000000000e-01 0 -1 1939
-            2.5000000000000000e+00 -2 -3 1940 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            6.1000245809555054e-01 -4.2646210640668869e-02
-            -5.3324443101882935e-01 3.5818785429000854e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8948040008544922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1941 7.5000000000000000e+00 0 -1 1942
-            4.5000000000000000e+00 -2 -3 1943 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.8669669628143311e-01 7.7529543638229370e-01
-            3.8582339882850647e-01 -1.5377666056156158e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9593772888183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1944 3.5525000000000000e+03 0 -1 1945
-            3.4500000000000000e+01 -2 -3 1946 167.</internalNodes>
-          <leafValues>
-            -2.2072853147983551e-01 3.3567503094673157e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.9370800018310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1947 7.5000000000000000e+00 0 -1 1948 3474. -2 -3 1949
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.4637100994586945e-02 -5.9609389305114746e-01
-            5.9798693656921387e-01 -1.3024185597896576e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9757068634033203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1950 1.1500000000000000e+01 0 -1 1951
-            4.4500000000000000e+01 -2 -3 1952 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1445469856262207e-01 8.4411728382110596e-01
-            3.8626831769943237e-01 -1.6962867975234985e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9796058654785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1953 5.8750000000000000e+02 0 -1 1954
-            3.5000000000000000e+00 -2 -3 1955 3.9150000000000000e+02</internalNodes>
-          <leafValues>
-            2.4987047910690308e-01 -6.1070859432220459e-01
-            7.2914922237396240e-01 -7.8055180609226227e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.9801254272460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1956 5.5850000000000000e+02 0 -1 1957
-            4.7500000000000000e+01 -2 -3 1958 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1270057410001755e-01 6.9968527555465698e-01
-            5.1938942633569241e-03 -7.4568808078765869e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0010192871093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1959 4.8500000000000000e+01 0 -1 1960
-            6.5000000000000000e+00 -2 -3 1961 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.4147862195968628e-01 2.0893752574920654e-01
-            -7.3173969984054565e-01 3.0364623665809631e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9708690643310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1962 5.0000000000000000e-01 0 -1 1963
-            3.5000000000000000e+00 -2 -3 1964 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.1378659009933472e-01 5.2321916818618774e-01
-            -3.0149966478347778e-01 6.9747513532638550e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0059795379638672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1965 4.1500000000000000e+01 0 -1 1966
-            1.5000000000000000e+00 -2 -3 1967 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6339656114578247e-01 -6.3636028766632080e-01
-            3.5110288858413696e-01 -2.9607880115509033e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0240623474121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1968 4.5000000000000000e+00 0 -1 1969
-            1.5000000000000000e+00 -2 -3 1970 3.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1838161945343018e-01 1.8083088099956512e-01
-            -1.4869785308837891e-01 5.0236159563064575e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0387596130371094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1971 1.6250000000000000e+02 0 -1 1972
-            4.5000000000000000e+00 -2 -3 1973 4.4650000000000000e+02</internalNodes>
-          <leafValues>
-            6.7135459184646606e-01 1.1329505359753966e-03
-            -6.6079312562942505e-01 1.4697253704071045e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0387634277343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1974 3.5000000000000000e+00 0 -1 1975
-            1.8500000000000000e+01 -2 -3 1976 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3784970641136169e-01 -4.8918390274047852e-01
-            -5.6978744268417358e-01 1.3324360549449921e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0022872924804688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1977 2.0850000000000000e+02 0 -1 1978
-            3.5000000000000000e+00 -2 -3 1979 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4730446934700012e-01 -3.6476173996925354e-01
-            -6.7308956384658813e-01 5.9900748729705811e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0411987304687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1980 4.6500000000000000e+01 0 -1 1981
-            7.5000000000000000e+00 -2 -3 1982 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1475833654403687e-01 3.5484632849693298e-01
-            3.8911363482475281e-01 -1.7250961065292358e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0604080200195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1983 5.0000000000000000e-01 0 -1 1984
-            6.5000000000000000e+00 -2 -3 1985 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3925055265426636e-01 4.7325718402862549e-01
-            1.9209517538547516e-01 -4.6254682540893555e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0539005279541016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1986 3.5500000000000000e+01 0 -1 1987 97. -2 -3 1988
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.5639108419418335e-01 -8.1671226024627686e-01
-            5.2336204051971436e-01 -6.5074905753135681e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.0846366882324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1989 3.1350000000000000e+02 0 -1 1990
-            1.6190500000000000e+04 -2 -3 1991 1.1005000000000000e+03</internalNodes>
-          <leafValues>
-            4.3834140896797180e-01 -3.6532020568847656e-01
-            6.3986539840698242e-01 -4.1561451554298401e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0749099731445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1992 3.5000000000000000e+00 0 -1 1993
-            1.6050000000000000e+02 -2 -3 1994 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9444553852081299e-01 -5.1368337869644165e-01
-            -6.9115257263183594e-01 1.9162381067872047e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.0911582946777344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1995 3.1500000000000000e+01 0 -1 1996 39. -2 -3 1997
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1950684785842896e-01 1. -7.2641021013259888e-01
-            1.6248121857643127e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0922454833984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1998 5.5000000000000000e+00 0 -1 1999
-            1.0500000000000000e+01 -2 -3 2000 1.5805000000000000e+03</internalNodes>
-          <leafValues>
-            -7.5020366907119751e-01 3.5568973422050476e-01
-            -4.8083752393722534e-01 3.0702778697013855e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1254642486572266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2001 3.3650000000000000e+02 0 -1 2002
-            5.0000000000000000e-01 -2 -3 2003 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.5214070081710815e-01 -5.6389236450195312e-01
-            3.4662494063377380e-01 -2.9536944627761841e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1591125488281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2004 2.5500000000000000e+01 0 -1 2005
-            1.4500000000000000e+01 -2 -3 2006 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.3703818619251251e-01 -4.9739819765090942e-01
-            -6.2935429811477661e-01 5.6868934631347656e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1522079467773438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2007 2.0500000000000000e+01 0 -1 2008
-            8.5500000000000000e+01 -2 -3 2009 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            7.8972160816192627e-01 -6.7304050922393799e-01
-            2.6793375611305237e-01 -6.3064610958099365e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1685386657714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2010 4.7055000000000000e+03 0 -1 2011
-            7.5000000000000000e+00 -2 -3 2012 34.</internalNodes>
-          <leafValues>
-            -6.3200688362121582e-01 1.6331009566783905e-01
-            -9.4863635301589966e-01 8.0065780878067017e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1566181182861328e+01</treeThreshold>
-          <internalNodes>
-            1 2 2013 7.2950000000000000e+02 0 -1 2014
-            2.0350000000000000e+02 -2 -3 2015 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1920681595802307e-01 6.4878600835800171e-01
-            -5.8408319950103760e-01 3.3495616912841797e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2094886779785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2016 9.5000000000000000e+00 0 -1 2017
-            3.5000000000000000e+00 -2 -3 2018 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2870643138885498e-01 -5.9091903269290924e-02
-            1.4992588758468628e-01 -7.4673342704772949e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1996501922607422e+01</treeThreshold>
-          <internalNodes>
-            1 2 2019 3.4500000000000000e+01 0 -1 2020
-            9.6500000000000000e+01 -2 -3 2021 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8386786878108978e-02 5.0483143329620361e-01
-            1.5602034330368042e-01 -6.9411128759384155e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2363922119140625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2022 1.4965000000000000e+03 0 -1 2023 61. -2 -3 2024
-            8.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -9.3483263254165649e-01 1. 5.6837409734725952e-01
-            -8.3574697375297546e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2407440185546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2025 5977. 0 -1 2026 2.5000000000000000e+00 -2 -3 2027
-            2.1421500000000000e+04</internalNodes>
-          <leafValues>
-            2.2136372327804565e-01 -6.3119232654571533e-01
-            9.1829413175582886e-01 4.3518073856830597e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2328540802001953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2028 9.5000000000000000e+00 0 -1 2029
-            3.8550000000000000e+02 -2 -3 2030 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.9880517721176147e-01 -3.3323591947555542e-01
-            -9.3455439805984497e-01 3.5605767369270325e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2549594879150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2031 1.2500000000000000e+01 0 -1 2032
-            2.5000000000000000e+00 -2 -3 2033 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2225402593612671e-01 -2.8828126192092896e-01
-            -4.3309009075164795e-01 6.5534549951553345e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2636714935302734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2034 417. 0 -1 2035 1.1500000000000000e+01 -2 -3 2036 7.</internalNodes>
-          <leafValues>
-            -2.1113002672791481e-02 8.4205090999603271e-01
-            -9.7738903760910034e-01 5.3100347518920898e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2861415863037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2037 2.5000000000000000e+00 0 -1 2038
-            5.5000000000000000e+00 -2 -3 2039 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6132452487945557e-01 3.6051002144813538e-01
-            -5.7641249895095825e-01 1.5012158453464508e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2900104522705078e+01</treeThreshold>
-          <internalNodes>
-            1 2 2040 5.0000000000000000e-01 0 -1 2041
-            3.5000000000000000e+00 -2 -3 2042 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3149966001510620e-01 2.9147976636886597e-01
-            -6.3701289892196655e-01 5.4918531328439713e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2879768371582031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2043 1.5000000000000000e+00 0 -1 2044
-            2.5000000000000000e+00 -2 -3 2045 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.6399359703063965e-01 -1.0929831862449646e-01
-            7.8133702278137207e-02 -4.7019696235656738e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2129520416259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 2046 1.3650000000000000e+02 0 -1 2047
-            2.1215000000000000e+03 -2 -3 2048 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4869627356529236e-01 -7.8195393085479736e-01
-            -5.4876875877380371e-01 2.9066467285156250e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2598121643066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2049 5.5000000000000000e+00 0 -1 2050
-            2.0500000000000000e+01 -2 -3 2051 3.3450000000000000e+02</internalNodes>
-          <leafValues>
-            -2.8021445870399475e-01 4.6860334277153015e-01
-            -4.1921630501747131e-01 9.1871756315231323e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2898983001708984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2052 5.8750000000000000e+02 0 -1 2053
-            3.3150000000000000e+02 -2 -3 2054 258.</internalNodes>
-          <leafValues>
-            -5.8121073246002197e-01 7.2862756252288818e-01
-            3.0086198449134827e-01 -6.1838138103485107e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3007404327392578e+01</treeThreshold>
-          <internalNodes>
-            1 2 2055 2.7950000000000000e+02 0 -1 2056
-            5.0500000000000000e+01 -2 -3 2057 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.9203374683856964e-02 6.8916302919387817e-01
-            2.2891193628311157e-01 -4.4382786750793457e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3243953704833984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2058 8.5000000000000000e+00 0 -1 2059
-            3.2650000000000000e+02 -2 -3 2060 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 2.3655229806900024e-01 -5.4432135820388794e-01
-            8.4973216056823730e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3190502166748047e+01</treeThreshold>
-          <internalNodes>
-            1 2 2061 3.1500000000000000e+01 0 -1 2062
-            6.4500000000000000e+01 -2 -3 2063 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.7394508421421051e-01 3.4196874499320984e-01
-            -7.9306966066360474e-01 7.7552306652069092e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3256435394287109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2064 5.0000000000000000e-01 0 -1 2065
-            4.5000000000000000e+00 -2 -3 2066 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4375263452529907e-01 4.6298280358314514e-01
-            6.5930701792240143e-02 -6.0258072614669800e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3547569274902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2067 3.5000000000000000e+00 0 -1 2068
-            2.9665000000000000e+03 -2 -3 2069 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.6696309447288513e-01 -6.1605608463287354e-01
-            5.8771264553070068e-01 -7.7434383332729340e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.3455562591552734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2070 2.6500000000000000e+01 0 -1 2071
-            1.0435000000000000e+03 -2 -3 2072 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0468648672103882e-01 2.7090394496917725e-01 -1.
-            7.8004688024520874e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3757442474365234e+01</treeThreshold>
-          <internalNodes>
-            1 2 2073 1.0350000000000000e+02 0 -1 2074
-            1.0500000000000000e+01 -2 -3 2075 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.8403138518333435e-01 3.0187815427780151e-01
-            3.1422126293182373e-01 -7.1062839031219482e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3906417846679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2076 4.5000000000000000e+00 0 -1 2077
-            1.5000000000000000e+00 -2 -3 2078 4.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3861616849899292e-01 4.0836670994758606e-01
-            -5.5579960346221924e-01 1.4897711575031281e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4099327087402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2079 2.5500000000000000e+01 0 -1 2080
-            5.7650000000000000e+02 -2 -3 2081 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5475443601608276e-01 1.9290663301944733e-01
-            -7.1113204956054688e-01 5.3957355022430420e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3918937683105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2082 3.5000000000000000e+00 0 -1 2083
-            9.7500000000000000e+01 -2 -3 2084 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.3335947990417480e-01 2.7078640460968018e-01
-            3.7570750713348389e-01 -7.7115553617477417e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3970809936523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2085 3.5000000000000000e+00 0 -1 2086
-            1.9850000000000000e+02 -2 -3 2087 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5109664201736450e-01 -1.3773214817047119e-01
-            -5.4258519411087036e-01 5.1870465278625488e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.4214424133300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2088 1.2500000000000000e+01 0 -1 2089
-            3.2450000000000000e+02 -2 -3 2090 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3517467379570007e-01 -9.6950376033782959e-01
-            2.5978988409042358e-01 -2.7689433097839355e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4605529785156250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2091 327. 0 -1 2092 5.0000000000000000e-01 -2 -3 2093
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3849301040172577e-01 -5.6138235330581665e-01
-            -6.2119048833847046e-01 3.9110702276229858e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4053535461425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2094 1.8500000000000000e+01 0 -1 2095
-            1.4500000000000000e+01 -2 -3 2096 1.7225000000000000e+03</internalNodes>
-          <leafValues>
-            -7.9772460460662842e-01 2.5171506404876709e-01
-            4.5911735296249390e-01 -5.6817436218261719e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4624084472656250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2097 1.3500000000000000e+01 0 -1 2098
-            3.8450000000000000e+02 -2 -3 2099 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.7918819189071655e-01 -6.8560796976089478e-01
-            5.7055342197418213e-01 -1.1227272450923920e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4599174499511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2100 3.9950000000000000e+02 0 -1 2101
-            6.5000000000000000e+00 -2 -3 2102 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6946315169334412e-01 -6.8496251106262207e-01
-            -1.4580105245113373e-01 4.0004068613052368e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4730812072753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2103 5.0000000000000000e-01 0 -1 2104
-            1.0500000000000000e+01 -2 -3 2105 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.1157549619674683e-01 3.9449948072433472e-01
-            1.3164354860782623e-01 -5.7457894086837769e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4550361633300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2106 6.1500000000000000e+01 0 -1 2107
-            4.2500000000000000e+01 -2 -3 2108 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.7661024630069733e-02 4.9807086586952209e-01
-            2.6868519186973572e-01 -5.6513643264770508e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4741752624511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2109 1.5000000000000000e+00 0 -1 2110
-            1.4500000000000000e+01 -2 -3 2111 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.7091879844665527e-01 4.6459051966667175e-01
-            2.1071271598339081e-01 -4.8713284730911255e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4659866333007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2112 2.5000000000000000e+00 0 -1 2113
-            1.0500000000000000e+01 -2 -3 2114 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.9292472600936890e-01 -9.4043314456939697e-01
-            5.3616881370544434e-01 -8.1886835396289825e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.4854621887207031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2115 5.7500000000000000e+01 0 -1 2116
-            6.5000000000000000e+00 -2 -3 2117 1399.</internalNodes>
-          <leafValues>
-            1.7543983459472656e-01 -5.9518599510192871e-01
-            -6.6982376575469971e-01 3.6574700474739075e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4909034729003906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2118 2.7650000000000000e+02 0 -1 2119 2618. -2 -3 2120
-            4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1149606704711914e-01 -7.5715744495391846e-01
-            5.4412230849266052e-02 -5.4240036010742188e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5523689270019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2121 2.0850000000000000e+02 0 -1 2122
-            1.5000000000000000e+00 -2 -3 2123 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8490218520164490e-01 -4.3338671326637268e-01
-            -4.2747175693511963e-01 6.1465066671371460e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5561706542968750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2124 212. 0 -1 2125 4.5500000000000000e+01 -2 -3 2126
-            2.5150000000000000e+02</internalNodes>
-          <leafValues>
-            -5.5702477693557739e-01 3.5860374569892883e-01
-            -6.7760747671127319e-01 3.8017414510250092e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5649497985839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2127 5.9500000000000000e+01 0 -1 2128
-            3.5000000000000000e+00 -2 -3 2129 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.9711538553237915e-01 2.5381851196289062e-01
-            4.2455443739891052e-01 -1.7120632529258728e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5992294311523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2130 3.5000000000000000e+00 0 -1 2131
-            1.6250000000000000e+02 -2 -3 2132 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3420738577842712e-01 6.4248228073120117e-01
-            6.8257737159729004e-01 -1.6899804770946503e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6213569641113281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2133 5.5000000000000000e+00 0 -1 2134
-            7.3500000000000000e+01 -2 -3 2135 9.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2127301990985870e-01 -7.9195356369018555e-01
-            -6.8413102626800537e-01 8.0674022436141968e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5891929626464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2136 5.1500000000000000e+01 0 -1 2137
-            3.5000000000000000e+00 -2 -3 2138 3.6750000000000000e+02</internalNodes>
-          <leafValues>
-            3.1779468059539795e-01 -3.8076880574226379e-01
-            6.2580502033233643e-01 -3.2678863406181335e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5933746337890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2139 1.1500000000000000e+01 0 -1 2140
-            2.5000000000000000e+00 -2 -3 2141 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.1745031177997589e-01 -4.3131595849990845e-01
-            6.6705638170242310e-01 -2.3260143399238586e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5980415344238281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2142 3.5000000000000000e+00 0 -1 2143
-            2.5000000000000000e+00 -2 -3 2144 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            7.7854001522064209e-01 -8.4415936470031738e-01
-            5.8085924386978149e-01 -2.8965638950467110e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5784027099609375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2145 4.7500000000000000e+01 0 -1 2146
-            2.5000000000000000e+00 -2 -3 2147 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.7243506312370300e-01 -6.9404041767120361e-01
-            3.7178915739059448e-01 -1.9639030098915100e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6053306579589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2148 4.7350000000000000e+02 0 -1 2149
-            4.7500000000000000e+01 -2 -3 2150 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7930485606193542e-01 2.6928251981735229e-01
-            -6.6765409708023071e-01 4.6291077136993408e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6251876831054688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2151 1.7500000000000000e+01 0 -1 2152
-            3.2650000000000000e+02 -2 -3 2153 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 1.9857025146484375e-01 -6.2745827436447144e-01
-            4.3167012929916382e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6497039794921875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2154 2.8500000000000000e+01 0 -1 2155
-            2.6500000000000000e+01 -2 -3 2156 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1000304222106934e-01 6.9051915407180786e-01
-            -2.8902414441108704e-01 4.2377713322639465e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6451217651367188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2157 4.1250000000000000e+02 0 -1 2158
-            1.6500000000000000e+01 -2 -3 2159 3.0650000000000000e+02</internalNodes>
-          <leafValues>
-            2.3259440436959267e-02 -6.3648867607116699e-01
-            7.6639103889465332e-01 -1.8078628182411194e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6132827758789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2160 2.1500000000000000e+01 0 -1 2161
-            8.7550000000000000e+02 -2 -3 2162 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3872911334037781e-01 2.7060332894325256e-01
-            -6.3514488935470581e-01 9.0211552381515503e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6081367492675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2163 5.7650000000000000e+02 0 -1 2164 681. -2 -3 2165
-            1.7175000000000000e+03</internalNodes>
-          <leafValues>
-            -7.8227895498275757e-01 8.6135381460189819e-01
-            8.2487636804580688e-01 -5.1461022347211838e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5997879028320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2166 1.8500000000000000e+01 0 -1 2167
-            4.5000000000000000e+00 -2 -3 2168 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3486534655094147e-02 6.0638916492462158e-01
-            -4.8585453629493713e-01 2.9007250070571899e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6484413146972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2169 1.2995000000000000e+03 0 -1 2170
-            4.6065000000000000e+03 -2 -3 2171 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.7341315150260925e-01 5.3913331031799316e-01
-            4.8653602600097656e-01 -4.5589551329612732e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6919540405273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2172 2.8500000000000000e+01 0 -1 2173 143. -2 -3 2174
-            1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0857741236686707e-01 -7.9653608798980713e-01
-            4.3512815237045288e-01 -1.2409269809722900e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6548828125000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2175 3.6500000000000000e+01 0 -1 2176
-            3.8500000000000000e+01 -2 -3 2177 3.0015000000000000e+03</internalNodes>
-          <leafValues>
-            -3.7071618437767029e-01 3.0769228935241699e-01
-            -5.6432120501995087e-02 7.5577193498611450e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6935661315917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2178 221. 0 -1 2179 5.0000000000000000e-01 -2 -3 2180
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.8683256506919861e-01 -1.6335722804069519e-01
-            3.1397402286529541e-01 -8.9784342050552368e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6811462402343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2181 1.6500000000000000e+01 0 -1 2182
-            9.7500000000000000e+01 -2 -3 2183 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.9564503431320190e-01 -6.8224984407424927e-01
-            3.6420011520385742e-01 -2.7474680542945862e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7206642150878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2184 2.8150000000000000e+02 0 -1 2185
-            5.3500000000000000e+01 -2 -3 2186 2.1950000000000000e+02</internalNodes>
-          <leafValues>
-            3.9518028497695923e-01 -7.5029599666595459e-01
-            -4.5047336816787720e-01 4.4910728931427002e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6829307556152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2187 6.2550000000000000e+02 0 -1 2188
-            2.7045000000000000e+03 -2 -3 2189 7.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -1.0180658102035522e-01 4.7846919298171997e-01
-            -9.1966360807418823e-01 -3.8947533816099167e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.6750717163085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2190 4.7350000000000000e+02 0 -1 2191
-            5.7500000000000000e+01 -2 -3 2192 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.8587010502815247e-02 6.3941407203674316e-01
-            7.1196836233139038e-01 -7.2520041465759277e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7127670288085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2193 2.5000000000000000e+00 0 -1 2194
-            1.5500000000000000e+01 -2 -3 2195 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7885441780090332e-01 3.2798525691032410e-01
-            8.6548590660095215e-01 5.7965524494647980e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7040710449218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2196 2.5000000000000000e+00 0 -1 2197
-            1.9500000000000000e+01 -2 -3 2198 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5627369880676270e-01 5.8527511358261108e-01
-            -5.7549017667770386e-01 6.9125495851039886e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7134475708007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2199 2.5000000000000000e+00 0 -1 2200
-            1.4215000000000000e+03 -2 -3 2201 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.7880736589431763e-01 -4.5164510607719421e-01
-            5.3598467260599136e-02 -5.7012593746185303e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7369125366210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2202 5.5000000000000000e+00 0 -1 2203
-            5.5000000000000000e+00 -2 -3 2204 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4780540466308594e-01 7.3004895448684692e-01
-            6.4780569076538086e-01 -5.0393346697092056e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7813079833984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2205 1.2500000000000000e+01 0 -1 2206 9948. -2 -3 2207
-            2.0450000000000000e+02</internalNodes>
-          <leafValues>
-            -4.2956997640430927e-03 -9.1839849948883057e-01
-            -1.5275211632251740e-01 4.4395634531974792e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8058036804199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2208 4.0500000000000000e+01 0 -1 2209
-            5.0000000000000000e-01 -2 -3 2210 4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4495334923267365e-01 -9.5012718439102173e-01
-            1.7766039073467255e-01 -4.3439298868179321e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7814498901367188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2211 1.5500000000000000e+01 0 -1 2212
-            7.5000000000000000e+00 -2 -3 2213 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4375911951065063e-01 -6.9197601079940796e-01
-            -7.6082307100296021e-01 2.3456893861293793e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7533103942871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2214 8.1500000000000000e+01 0 -1 2215
-            1.1500000000000000e+01 -2 -3 2216 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6256918907165527e-01 -2.8139856457710266e-01
-            -8.1822723150253296e-01 2.4620606005191803e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7985069274902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2217 2.6500000000000000e+01 0 -1 2218
-            9.5000000000000000e+00 -2 -3 2219 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.2688148021697998e-01 -9.2650556564331055e-01
-            4.5196792483329773e-01 -1.2886488437652588e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8211486816406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2220 1.9500000000000000e+01 0 -1 2221
-            9.4500000000000000e+01 -2 -3 2222 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5716031454503536e-03 -9.2506814002990723e-01
-            2.2641468048095703e-01 -5.4319751262664795e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8062339782714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2223 1.5000000000000000e+00 0 -1 2224
-            1.1350000000000000e+02 -2 -3 2225 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.4914712309837341e-01 6.2766093015670776e-01
-            5.2602481842041016e-01 -3.3082970976829529e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8320228576660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2226 6.7500000000000000e+01 0 -1 2227
-            4.5000000000000000e+00 -2 -3 2228 8.3350000000000000e+02</internalNodes>
-          <leafValues>
-            -7.0059794187545776e-01 2.5789487361907959e-01
-            2.8099337220191956e-01 -6.9175392389297485e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8181999206542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2229 1.2500000000000000e+01 0 -1 2230
-            3.1350000000000000e+02 -2 -3 2231 9.4565000000000000e+03</internalNodes>
-          <leafValues>
-            1.9189414381980896e-01 -3.9976862072944641e-01
-            5.6042033433914185e-01 -9.6583509445190430e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8313468933105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2232 9.5000000000000000e+00 0 -1 2233 1313. -2 -3 2234
-            7.9450000000000000e+02</internalNodes>
-          <leafValues>
-            6.0552877187728882e-01 -7.1993356943130493e-01
-            -1.9865931570529938e-01 3.5071191191673279e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8655784606933594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2235 5.5000000000000000e+00 0 -1 2236
-            1.5500000000000000e+01 -2 -3 2237 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3366417884826660e-01 3.4231638908386230e-01
-            -5.7617366313934326e-01 1.2723289430141449e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8312980651855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2238 1.5000000000000000e+00 0 -1 2239
-            1.0500000000000000e+01 -2 -3 2240 3.2950000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2311822175979614e-01 5.3832811117172241e-01
-            -3.4280434250831604e-01 6.2301361560821533e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8748611450195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2241 5.5000000000000000e+00 0 -1 2242
-            6.3500000000000000e+01 -2 -3 2243 1.4355000000000000e+03</internalNodes>
-          <leafValues>
-            4.3563413619995117e-01 -7.9157996177673340e-01
-            6.3327491283416748e-02 -5.8212018013000488e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8442298889160156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2244 2.0500000000000000e+01 0 -1 2245
-            8.5000000000000000e+00 -2 -3 2246 1.3350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.0631437897682190e-01 2.6373180747032166e-01
-            7.2269374132156372e-01 -8.2843840122222900e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8691452026367188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2247 5.8450000000000000e+02 0 -1 2248 1991. -2 -3 2249
-            1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8844625949859619e-01 7.2171705961227417e-01
-            5.9379982948303223e-01 -8.8590703904628754e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.8854362487792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2250 2.2450000000000000e+02 0 -1 2251
-            3.5000000000000000e+00 -2 -3 2252 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1746988892555237e-01 -1.5201584994792938e-01
-            -7.8322100639343262e-01 4.8759365081787109e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8978080749511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2253 1.1350000000000000e+02 0 -1 2254
-            4.5000000000000000e+00 -2 -3 2255 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2371577322483063e-01 -6.8989777565002441e-01
-            3.5007947683334351e-01 -7.2059243917465210e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9356269836425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2256 1.9500000000000000e+01 0 -1 2257
-            1.0500000000000000e+01 -2 -3 2258 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8434163331985474e-01 -4.2419987916946411e-01
-            5.7273209095001221e-01 -1.0273739695549011e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9808845520019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2259 5.5000000000000000e+00 0 -1 2260
-            1.8500000000000000e+01 -2 -3 2261 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.0742955207824707e-01 8.1550550460815430e-01
-            4.5257565379142761e-01 -1.1754118651151657e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9490539550781250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2262 5.3500000000000000e+01 0 -1 2263 80. -2 -3 2264
-            2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4256713390350342e-01 5.4104971885681152e-01
-            3.5188353061676025e-01 -3.0036619305610657e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9366668701171875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2265 2.6065000000000000e+03 0 -1 2266
-            3.1350000000000000e+02 -2 -3 2267 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.2386845052242279e-01 4.6345305442810059e-01
-            6.0491842031478882e-01 -9.4304585456848145e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9713836669921875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2268 1.7500000000000000e+01 0 -1 2269
-            2.5000000000000000e+00 -2 -3 2270 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.5482913255691528e-01 3.4717017412185669e-01
-            1.7867124080657959e-01 -6.1432170867919922e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0036468505859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2271 7.5000000000000000e+00 0 -1 2272
-            2.3500000000000000e+01 -2 -3 2273 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.8486787080764771e-01 3.2262811064720154e-01
-            -5.6460940837860107e-01 1.9223406910896301e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9981750488281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2274 1.7250000000000000e+02 0 -1 2275
-            5.0000000000000000e-01 -2 -3 2276 5.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4282279610633850e-01 -3.6108613014221191e-01
-            5.9585607051849365e-01 -6.8952751159667969e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9557426452636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2277 1.5000000000000000e+00 0 -1 2278 7. -2 -3 2279
-            4.2050000000000000e+02</internalNodes>
-          <leafValues>
-            1. -7.2186136245727539e-01 2.3051606118679047e-01
-            -4.9865522980690002e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9593688964843750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2280 3.5000000000000000e+00 0 -1 2281
-            5.5000000000000000e+00 -2 -3 2282 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.6256898194551468e-02 -5.9310066699981689e-01
-            6.1099308729171753e-01 -5.2162308245897293e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9190055847167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2283 5.0000000000000000e-01 0 -1 2284
-            1.5000000000000000e+00 -2 -3 2285 3.1950000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6549012660980225e-01 4.1545909643173218e-01
-            -4.0363189578056335e-01 6.4397597312927246e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9152801513671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2286 1.2500000000000000e+01 0 -1 2287
-            1.3500000000000000e+01 -2 -3 2288 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.4121584892272949e-02 -8.1945008039474487e-01
-            5.4119038581848145e-01 -3.7251871079206467e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9844085693359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2289 4.1950000000000000e+02 0 -1 2290 3338. -2 -3 2291
-            1.7450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.0648692399263382e-01 6.9128334522247314e-01
-            -4.1935205459594727e-01 2.4380990862846375e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0174018859863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2292 1.5500000000000000e+01 0 -1 2293
-            2.6500000000000000e+01 -2 -3 2294 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.6438052654266357e-01 3.2993179559707642e-01
-            1.9468745589256287e-01 -5.9477233886718750e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0660224914550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2295 1.0150000000000000e+02 0 -1 2296
-            5.0000000000000000e-01 -2 -3 2297 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8620355129241943e-01 -1.8835483491420746e-01
-            -5.4727905988693237e-01 5.2561342716217041e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0732994079589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2298 1.4450000000000000e+02 0 -1 2299
-            2.5000000000000000e+00 -2 -3 2300 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.2770319879055023e-02 -6.6459918022155762e-01
-            4.1657650470733643e-01 -3.1872367858886719e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0376434326171875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2301 2.7750000000000000e+02 0 -1 2302
-            2.8500000000000000e+01 -2 -3 2303 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7953361272811890e-01 5.4570424556732178e-01
-            3.0004525184631348e-01 -3.5655823349952698e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0656318664550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2304 5.8750000000000000e+02 0 -1 2305
-            1.0500000000000000e+01 -2 -3 2306 7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.0104954242706299e-01 -8.7880355119705200e-01
-            -8.3692330121994019e-01 2.7988719940185547e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0784782409667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2307 1.4500000000000000e+01 0 -1 2308
-            1.0450000000000000e+02 -2 -3 2309 67.</internalNodes>
-          <leafValues>
-            6.7218846082687378e-01 -3.5151880979537964e-01
-            -6.5867102146148682e-01 4.6130353212356567e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0990669250488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2310 334. 0 -1 2311 3.3500000000000000e+01 -2 -3 2312
-            8.1750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3783861994743347e-01 3.0199536681175232e-01
-            -9.2741793394088745e-01 2.6250743865966797e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1334205627441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2313 1.4500000000000000e+01 0 -1 2314
-            1.4500000000000000e+01 -2 -3 2315 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.9965308308601379e-01 4.6802315115928650e-01
-            -4.5157477259635925e-01 6.7555361986160278e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1500701904296875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2316 5.0000000000000000e-01 0 -1 2317 87. -2 -3 2318
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.0542531609535217e-01 -5.7673245668411255e-01
-            2.7094784379005432e-01 -5.7631582021713257e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1793479919433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2319 4.5000000000000000e+00 0 -1 2320
-            3.0500000000000000e+01 -2 -3 2321 1.8005000000000000e+03</internalNodes>
-          <leafValues>
-            -9.6369409561157227e-01 1. 2.9277887940406799e-01
-            -2.4375233054161072e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1967315673828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2322 2.5000000000000000e+00 0 -1 2323 4880. -2 -3 2324
-            3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0087158083915710e-01 -5.3540611267089844e-01
-            -6.9770932197570801e-01 -8.8338237255811691e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.1673614501953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2325 1.1500000000000000e+01 0 -1 2326
-            5.0000000000000000e-01 -2 -3 2327 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.5899358987808228e-01 -5.2653604745864868e-01
-            5.8578026294708252e-01 -3.2805901020765305e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.1711250305175781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2328 1.8500000000000000e+01 0 -1 2329
-            1.8050000000000000e+02 -2 -3 2330 35.</internalNodes>
-          <leafValues>
-            3.5447284579277039e-01 -5.9741777181625366e-01
-            -7.3350757360458374e-01 2.8574359416961670e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1695281982421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2331 2.0850000000000000e+02 0 -1 2332 1048. -2 -3 2333
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0666926503181458e-01 9.4038575887680054e-01
-            -7.0172363519668579e-01 4.9131000041961670e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1706031799316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2334 2.8850000000000000e+02 0 -1 2335 1736. -2 -3 2336
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0753270238637924e-02 7.3304736614227295e-01
-            5.3744524717330933e-01 -5.2062910795211792e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1823760986328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2337 1.6500000000000000e+01 0 -1 2338
-            7.5000000000000000e+00 -2 -3 2339 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.8876292705535889e-01 3.3360600471496582e-01
-            1.1772559583187103e-01 -5.7080477476119995e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2228584289550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2340 2.5000000000000000e+00 0 -1 2341
-            4.6500000000000000e+01 -2 -3 2342 1.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -2.1400362253189087e-01 4.0482848882675171e-01
-            -6.2977635860443115e-01 3.5589864850044250e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2438087463378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2343 1.6500000000000000e+01 0 -1 2344 3901. -2 -3 2345
-            2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0950204133987427e-01 -5.5380266904830933e-01
-            -7.4909400939941406e-01 5.2945792675018311e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2360771179199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2346 2.4500000000000000e+01 0 -1 2347
-            7.5000000000000000e+00 -2 -3 2348 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7871867418289185e-01 -7.5313919782638550e-01
-            5.1331257820129395e-01 -9.7519315779209137e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.1928703308105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2349 8.0500000000000000e+01 0 -1 2350
-            8.6500000000000000e+01 -2 -3 2351 139.</internalNodes>
-          <leafValues>
-            5.2605316042900085e-02 -6.2711888551712036e-01
-            -3.3864989876747131e-01 4.3293687701225281e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2465637207031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2352 3.5000000000000000e+00 0 -1 2353
-            3.5000000000000000e+00 -2 -3 2354 458.</internalNodes>
-          <leafValues>
-            -8.2156580686569214e-01 5.3693503141403198e-01
-            -7.5703012943267822e-01 7.3093846440315247e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.2306266784667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2355 1.5000000000000000e+00 0 -1 2356
-            2.2500000000000000e+01 -2 -3 2357 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.8483113050460815e-01 2.5380238890647888e-01
-            1.9247277081012726e-01 -5.5495434999465942e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2351318359375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2358 5.0000000000000000e-01 0 -1 2359
-            1.1500000000000000e+01 -2 -3 2360 2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.4710837602615356e-01 3.3967879414558411e-01
-            4.5056350529193878e-02 -6.6342002153396606e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2549964904785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2361 3.1500000000000000e+01 0 -1 2362
-            5.5000000000000000e+00 -2 -3 2363 1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2634866014122963e-03 -5.6539881229400635e-01
-            5.9193736314773560e-01 -6.0422807931900024e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2340164184570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2364 1.4550000000000000e+02 0 -1 2365 87. -2 -3 2366
-            2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            7.1558344364166260e-01 -6.7444592714309692e-01
-            2.4655258655548096e-01 -4.4633221626281738e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2298965454101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2367 5.0000000000000000e-01 0 -1 2368
-            1.6500000000000000e+01 -2 -3 2369 1.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -6.4155972003936768e-01 5.6763589382171631e-01
-            4.5910947024822235e-02 -5.7516378164291382e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2460647583007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2370 1.0500000000000000e+01 0 -1 2371 776. -2 -3 2372
-            3.0350000000000000e+02</internalNodes>
-          <leafValues>
-            1. -7.5311285257339478e-01 1.6168554127216339e-01
-            -9.7889220714569092e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2329025268554688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2373 6.8250000000000000e+02 0 -1 2374
-            9.8350000000000000e+02 -2 -3 2375 8.4550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8907532691955566e-01 6.2361657619476318e-01
-            6.0256063938140869e-01 -1.3162477314472198e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2692337036132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2376 9.5000000000000000e+00 0 -1 2377 587. -2 -3 2378
-            6.2850000000000000e+02</internalNodes>
-          <leafValues>
-            1.8354943394660950e-01 -6.3397884368896484e-01
-            3.6331036686897278e-01 -4.3740653991699219e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3099296569824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2379 5.0000000000000000e-01 0 -1 2380
-            5.5000000000000000e+00 -2 -3 2381 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0695956349372864e-01 -2.3705665767192841e-01
-            5.4972708225250244e-01 -5.1312422752380371e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3302726745605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2382 8.7050000000000000e+02 0 -1 2383
-            1.5000000000000000e+00 -2 -3 2384 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9779379963874817e-01 -6.3519412279129028e-01
-            -8.4823501110076904e-01 3.2447892427444458e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3023147583007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2385 5.0000000000000000e-01 0 -1 2386
-            3.8500000000000000e+01 -2 -3 2387 1.5775000000000000e+03</internalNodes>
-          <leafValues>
-            -2.5971448421478271e-01 5.4386669397354126e-01
-            -4.0062361955642700e-01 4.5868498086929321e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3163795471191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2388 2.7500000000000000e+01 0 -1 2389
-            5.0000000000000000e-01 -2 -3 2390 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4064319431781769e-01 -4.5721408724784851e-01
-            8.3929353952407837e-01 -5.6752306222915649e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3411483764648438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2391 3.5000000000000000e+00 0 -1 2392 21. -2 -3 2393
-            1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.8916430473327637e-01 1. 2.4769315123558044e-01
-            -4.8368823528289795e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3806152343750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2394 6.5000000000000000e+00 0 -1 2395
-            2.2500000000000000e+01 -2 -3 2396 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2384034395217896e-01 3.9466390013694763e-01
-            1.2428787350654602e-01 -5.8119755983352661e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3893051147460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2397 6.2500000000000000e+01 0 -1 2398
-            2.5000000000000000e+00 -2 -3 2399 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.6900889873504639e-02 -5.0835818052291870e-01
-            6.4387518167495728e-01 -3.4420084953308105e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4370101928710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2400 2.0250000000000000e+02 0 -1 2401
-            2.6500000000000000e+01 -2 -3 2402 1.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3534547686576843e-01 7.1747875213623047e-01
-            5.8294051885604858e-01 -2.0199438929557800e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3817878723144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2403 2.2250000000000000e+02 0 -1 2404 495. -2 -3 2405
-            1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2125439643859863e-01 4.6380558609962463e-01
-            -8.2408124208450317e-01 -5.1385825499892235e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.4274734497070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2406 5.0000000000000000e-01 0 -1 2407
-            6.5000000000000000e+00 -2 -3 2408 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.4510724544525146e-01 4.5685729384422302e-01
-            -4.1785773634910583e-01 3.7173369526863098e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4214447021484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2409 4.3515000000000000e+03 0 -1 2410
-            7.1850000000000000e+02 -2 -3 2411 6.1445000000000000e+03</internalNodes>
-          <leafValues>
-            -5.5608157068490982e-02 6.8498140573501587e-01
-            -8.1597936153411865e-01 -6.0283310711383820e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4526939392089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2412 1.5000000000000000e+00 0 -1 2413
-            4.5000000000000000e+00 -2 -3 2414 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.5446805357933044e-01 8.0654889345169067e-01
-            4.4617369771003723e-02 -4.9571081995964050e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4664260864257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2415 2.1500000000000000e+01 0 -1 2416
-            9.5000000000000000e+00 -2 -3 2417 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.5834673643112183e-01 -6.3097542524337769e-01
-            5.6628465652465820e-01 -1.0652445256710052e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4835792541503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2418 1.9500000000000000e+01 0 -1 2419
-            2.1650000000000000e+02 -2 -3 2420 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4473347663879395e-01 3.5953617095947266e-01
-            -7.8647011518478394e-01 4.7845369577407837e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5001464843750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2421 4.3350000000000000e+02 0 -1 2422
-            9.5000000000000000e+00 -2 -3 2423 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.6833075284957886e-01 1.6567093133926392e-01 1.
-            -9.3112909793853760e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5096672058105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2424 1.9500000000000000e+01 0 -1 2425
-            2.5500000000000000e+01 -2 -3 2426 2.5165000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1183577179908752e-02 5.7713252305984497e-01
-            -7.3037630319595337e-01 9.5210477709770203e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4955039978027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2427 5.5000000000000000e+00 0 -1 2428
-            8.0500000000000000e+01 -2 -3 2429 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1543654203414917e-01 -5.0912439823150635e-01
-            -6.9998091459274292e-01 1.5216259658336639e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4920089721679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2430 1.1215000000000000e+03 0 -1 2431
-            3.8850000000000000e+02 -2 -3 2432 4.1195000000000000e+03</internalNodes>
-          <leafValues>
-            4.6712434291839600e-01 -4.7107401490211487e-01
-            -8.0701512098312378e-01 -4.6098276972770691e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4982124328613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2433 1.8500000000000000e+01 0 -1 2434
-            3.5500000000000000e+01 -2 -3 2435 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.7868845462799072e-01 5.3733342885971069e-01
-            5.9916520118713379e-01 -1.3988719880580902e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5354972839355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2436 2.5000000000000000e+00 0 -1 2437
-            4.5000000000000000e+00 -2 -3 2438 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7731003016233444e-02 -8.0526626110076904e-01
-            4.1983363032341003e-01 -1.6427561640739441e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5353942871093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2439 3.8500000000000000e+01 0 -1 2440
-            5.0000000000000000e-01 -2 -3 2441 1.5250000000000000e+02</internalNodes>
-          <leafValues>
-            4.1628280282020569e-01 -5.9752076864242554e-01
-            2.2085283696651459e-01 -7.8762036561965942e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4907821655273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2442 9.5000000000000000e+00 0 -1 2443
-            5.5000000000000000e+00 -2 -3 2444 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2543123960494995e-01 2.9037654399871826e-01
-            -6.6800427436828613e-01 2.3413531482219696e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5347267150878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2445 5.0000000000000000e-01 0 -1 2446
-            7.5000000000000000e+00 -2 -3 2447 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7953171730041504e-01 4.3944290280342102e-01
-            2.1482174098491669e-01 -4.5657783746719360e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5632286071777344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2448 1.8500000000000000e+01 0 -1 2449
-            1.0500000000000000e+01 -2 -3 2450 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2795214653015137e-01 2.8501552343368530e-01
-            -7.3039668798446655e-01 3.0266335606575012e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5784385681152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2451 5.0000000000000000e-01 0 -1 2452
-            4.5000000000000000e+00 -2 -3 2453 9.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9435759782791138e-01 2.8812354803085327e-01
-            3.0145803093910217e-01 -5.5056422948837280e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5934288024902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2454 1.2500000000000000e+01 0 -1 2455
-            1.1500000000000000e+01 -2 -3 2456 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.4109108448028564e-01 3.4966334700584412e-01
-            2.2563920915126801e-01 -6.0146200656890869e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5664039611816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2457 1.5000000000000000e+00 0 -1 2458
-            2.0500000000000000e+01 -2 -3 2459 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3995569944381714e-02 5.8523094654083252e-01
-            -6.0602784156799316e-01 9.1935232281684875e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5729660034179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2460 5.0000000000000000e-01 0 -1 2461
-            1.5000000000000000e+00 -2 -3 2462 5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9503663778305054e-01 6.0793364048004150e-01
-            -5.8376723527908325e-01 2.0124232396483421e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6041374206542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2463 2.5000000000000000e+00 0 -1 2464
-            4.5850000000000000e+02 -2 -3 2465 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1171244382858276e-01 -1. -6.6108351945877075e-01
-            2.7302114292979240e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5795768737792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2466 1.9650000000000000e+02 0 -1 2467
-            6.2950000000000000e+02 -2 -3 2468 8.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.5152391195297241e-01 6.5583813190460205e-01
-            -7.8791797161102295e-01 9.4210775569081306e-04</leafValues></_>
-        <_>
-          <treeThreshold>7.5857429504394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2469 4.5000000000000000e+00 0 -1 2470
-            8.0500000000000000e+01 -2 -3 2471 1.1845000000000000e+03</internalNodes>
-          <leafValues>
-            4.5618292689323425e-01 -2.6651117205619812e-01
-            6.1658360064029694e-02 -5.8446490764617920e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6416542053222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2472 4.0950000000000000e+02 0 -1 2473
-            1.5950000000000000e+02 -2 -3 2474 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3679732680320740e-01 6.7494618892669678e-01
-            -5.3805744647979736e-01 5.5911004543304443e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5964401245117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2475 2159. 0 -1 2476 9.5000000000000000e+00 -2 -3 2477
-            2.7550000000000000e+02</internalNodes>
-          <leafValues>
-            -9.7294098138809204e-01 3.4394034743309021e-01
-            7.5755751132965088e-01 -4.5213976502418518e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6349334716796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2478 5.0000000000000000e-01 0 -1 2479 109. -2 -3 2480
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3041268587112427e-01 3.8493672013282776e-01
-            1.9105611741542816e-01 -5.4174506664276123e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6266555786132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2481 5.7850000000000000e+02 0 -1 2482
-            1.5000000000000000e+00 -2 -3 2483 2.8750000000000000e+02</internalNodes>
-          <leafValues>
-            5.4517310857772827e-01 -8.3548069000244141e-01
-            5.4728341102600098e-01 -8.2781173288822174e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6401138305664062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2484 3.9500000000000000e+01 0 -1 2485
-            4.8500000000000000e+01 -2 -3 2486 1.5450000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2842093706130981e-01 4.5771333575248718e-01
-            5.4719090461730957e-01 -5.5783140659332275e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6629852294921875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2487 5.0000000000000000e-01 0 -1 2488
-            9.8695000000000000e+03 -2 -3 2489 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.5277694463729858e-01 -8.9051485061645508e-01
-            1.5630321204662323e-01 -5.0492966175079346e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7012748718261719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2490 3.4250000000000000e+02 0 -1 2491
-            5.0000000000000000e-01 -2 -3 2492 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            6.1497741937637329e-01 -4.2811819911003113e-01
-            -6.7799770832061768e-01 3.8289925456047058e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7173255920410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2493 6.3500000000000000e+01 0 -1 2494
-            4.2500000000000000e+01 -2 -3 2495 1.0450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.6624304056167603e-01 1.6050516068935394e-01
-            -9.2148023843765259e-01 7.9243576526641846e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7233604431152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2496 3.5000000000000000e+00 0 -1 2497
-            2.9500000000000000e+01 -2 -3 2498 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3042707443237305e-01 -7.0397478342056274e-01
-            -5.7992899417877197e-01 6.0347892343997955e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.7677680969238281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2499 7.7750000000000000e+02 0 -1 2500
-            3.5000000000000000e+00 -2 -3 2501 3.9050000000000000e+02</internalNodes>
-          <leafValues>
-            2.6784166693687439e-01 -7.3122310638427734e-01
-            6.9813531637191772e-01 -5.0064746290445328e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.7810462951660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2502 1.2500000000000000e+01 0 -1 2503 46. -2 -3 2504
-            4.7550000000000000e+02</internalNodes>
-          <leafValues>
-            7.4502938985824585e-01 -9.3451422452926636e-01
-            1.7553819715976715e-01 -6.0448014736175537e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8011604309082031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2505 5.0000000000000000e-01 0 -1 2506
-            1.5000000000000000e+00 -2 -3 2507 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5112600326538086e-01 -7.1465468406677246e-01
-            -6.2684929370880127e-01 2.0114150643348694e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7726852416992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2508 2.5000000000000000e+00 0 -1 2509
-            1.5000000000000000e+00 -2 -3 2510 2.2275000000000000e+03</internalNodes>
-          <leafValues>
-            -6.1417835950851440e-01 6.4539062976837158e-01
-            2.3531807959079742e-01 -3.7372583150863647e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7838409423828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2511 4.0435000000000000e+03 0 -1 2512
-            1.6050000000000000e+02 -2 -3 2513 12334.</internalNodes>
-          <leafValues>
-            -3.2763364911079407e-01 7.1799826622009277e-01
-            4.0013375878334045e-01 -8.6134457588195801e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7509208679199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2514 5.0000000000000000e-01 0 -1 2515
-            3.5000000000000000e+00 -2 -3 2516 4.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.3890359401702881e-01 3.9034625887870789e-01
-            3.8619524240493774e-01 -5.2792149782180786e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7868835449218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2517 5.0000000000000000e-01 0 -1 2518
-            4.5000000000000000e+00 -2 -3 2519 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.3116971850395203e-01 3.5963350534439087e-01
-            3.4538099169731140e-01 -4.9176117777824402e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8107124328613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2520 8.5000000000000000e+00 0 -1 2521 303. -2 -3 2522
-            1.3550000000000000e+02</internalNodes>
-          <leafValues>
-            3.4497961401939392e-01 -3.9331153035163879e-01
-            6.7525440454483032e-01 -6.4588183164596558e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7949096679687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2523 4.5000000000000000e+00 0 -1 2524
-            4.4500000000000000e+01 -2 -3 2525 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7561493273824453e-04 6.5230095386505127e-01
-            -5.9499686956405640e-01 2.8807112574577332e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7715606689453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2526 5.7500000000000000e+01 0 -1 2527
-            1.9500000000000000e+01 -2 -3 2528 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.3348997533321381e-01 3.4078663587570190e-01
-            8.8998430967330933e-01 -8.2743632793426514e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7412117004394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2529 1.5500000000000000e+01 0 -1 2530
-            7.5000000000000000e+00 -2 -3 2531 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8361167907714844e-01 4.6851965785026550e-01
-            7.6548218727111816e-01 -3.4992104768753052e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7919708251953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2532 1.4500000000000000e+01 0 -1 2533
-            4.3250000000000000e+02 -2 -3 2534 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6036920249462128e-01 -4.6338194608688354e-01
-            -7.4071860313415527e-01 5.0758624076843262e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7726272583007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2535 8.0500000000000000e+01 0 -1 2536
-            3.7500000000000000e+01 -2 -3 2537 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.9343656301498413e-01 3.6727836728096008e-01 1.
-            -8.6589008569717407e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8272102355957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2538 5.0000000000000000e-01 0 -1 2539
-            4.5000000000000000e+00 -2 -3 2540 658.</internalNodes>
-          <leafValues>
-            -5.3998571634292603e-01 5.4582929611206055e-01
-            -3.1522071361541748e-01 7.1490818262100220e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8563529968261719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2541 4.5000000000000000e+00 0 -1 2542
-            1.4500000000000000e+01 -2 -3 2543 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0465071201324463e-01 -4.6871420741081238e-01
-            5.3199578076601028e-02 -5.5464112758636475e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8416564941406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2544 1.3450000000000000e+02 0 -1 2545
-            1.9500000000000000e+01 -2 -3 2546 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7330028414726257e-02 -7.5999724864959717e-01
-            5.3803235292434692e-01 -1.4696989953517914e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8487602233886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2547 6.5000000000000000e+00 0 -1 2548
-            5.0000000000000000e-01 -2 -3 2549 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            7.1036763489246368e-02 -7.1582734584808350e-01
-            5.4787242412567139e-01 -1.1151381582021713e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8819152832031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2550 2.0750000000000000e+02 0 -1 2551
-            2.0735000000000000e+03 -2 -3 2552 4304.</internalNodes>
-          <leafValues>
-            2.2555717825889587e-01 -4.1814169287681580e-01
-            6.8767857551574707e-01 -2.6335984468460083e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9293106079101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2553 1.8500000000000000e+01 0 -1 2554
-            4.1500000000000000e+01 -2 -3 2555 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1884217262268066e-01 1. 4.7395563125610352e-01
-            -1.8633662164211273e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9529563903808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2556 3.3500000000000000e+01 0 -1 2557
-            1.9850000000000000e+02 -2 -3 2558 1.3050000000000000e+02</internalNodes>
-          <leafValues>
-            5.9216380119323730e-01 -7.9069614410400391e-01
-            2.3645764589309692e-01 -5.4375654458999634e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9264884948730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2559 5.2500000000000000e+01 0 -1 2560
-            6.0500000000000000e+01 -2 -3 2561 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            9.8454810678958893e-02 -6.2080347537994385e-01
-            3.8626289367675781e-01 -4.1950720548629761e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9011604309082031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2562 2.9550000000000000e+02 0 -1 2563
-            3.9500000000000000e+01 -2 -3 2564 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1641591787338257e-01 2.5828385353088379e-01
-            6.0895466804504395e-01 -5.8573886752128601e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.9083618164062500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2565 2.8500000000000000e+01 0 -1 2566
-            5.0000000000000000e-01 -2 -3 2567 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0742061138153076e-01 2.8055912256240845e-01
-            -7.9475212097167969e-01 8.2691472768783569e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9463661193847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2568 5.0000000000000000e-01 0 -1 2569
-            1.5000000000000000e+00 -2 -3 2570 6.3050000000000000e+02</internalNodes>
-          <leafValues>
-            -1.2270902097225189e-01 7.1463072299957275e-01
-            -4.2850509285926819e-01 2.2205479443073273e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9607894897460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2571 3.5000000000000000e+00 0 -1 2572
-            3.5000000000000000e+00 -2 -3 2573 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.3542063236236572e-01 5.4489326477050781e-01
-            2.0372124016284943e-01 -3.9889475703239441e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9263900756835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2574 2.7950000000000000e+02 0 -1 2575 13730. -2 -3 2576
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3570191860198975e-02 7.3383468389511108e-01
-            4.3032327294349670e-01 -3.4399634599685669e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9479598999023438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2577 3.5000000000000000e+00 0 -1 2578
-            1.6500000000000000e+01 -2 -3 2579 168.</internalNodes>
-          <leafValues>
-            5.7104247808456421e-01 -8.0473148822784424e-01
-            2.1569329500198364e-01 -8.4493541717529297e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9719924926757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2580 1.8500000000000000e+01 0 -1 2581
-            2.5500000000000000e+01 -2 -3 2582 5.8750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.7445679903030396e-01 8.1580907106399536e-01
-            -3.5785317420959473e-01 2.4033224582672119e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9651489257812500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2583 1.9750000000000000e+02 0 -1 2584
-            2.9845000000000000e+03 -2 -3 2585 8.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2534831464290619e-02 6.7511278390884399e-01
-            5.5172812938690186e-01 -4.6909588575363159e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9875663757324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2586 4.3500000000000000e+01 0 -1 2587
-            3.0350000000000000e+02 -2 -3 2588 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0566140413284302e-01 2.2416961193084717e-01
-            6.5261769294738770e-01 -7.8972738981246948e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9825202941894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2589 1.8500000000000000e+01 0 -1 2590
-            7.8500000000000000e+01 -2 -3 2591 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0458520650863647e-02 6.2098169326782227e-01
-            -6.2433195114135742e-01 7.0211088657379150e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9897819519042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2592 5.0000000000000000e-01 0 -1 2593
-            7.5000000000000000e+00 -2 -3 2594 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5179387927055359e-01 4.7666555643081665e-01
-            -5.4754704236984253e-01 7.9487584531307220e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.0220909118652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2595 1.5000000000000000e+00 0 -1 2596
-            3.5000000000000000e+00 -2 -3 2597 2.3025000000000000e+03</internalNodes>
-          <leafValues>
-            5.9295910596847534e-01 -4.7368842363357544e-01
-            3.2309135794639587e-01 -3.6595731973648071e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0416793823242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2598 5.7650000000000000e+02 0 -1 2599
-            6.8250000000000000e+02 -2 -3 2600 423.</internalNodes>
-          <leafValues>
-            -8.3457779884338379e-01 9.4248223304748535e-01
-            1.9588518142700195e-01 -8.9797055721282959e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0621925354003906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2601 4.3500000000000000e+01 0 -1 2602
-            4.5000000000000000e+00 -2 -3 2603 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.7445579767227173e-01 -7.1823668479919434e-01
-            -8.5307145118713379e-01 2.0513093471527100e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0483642578125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2604 1.5000000000000000e+00 0 -1 2605
-            1.3500000000000000e+01 -2 -3 2606 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1219720840454102e-01 2.1613596379756927e-01
-            8.3621460199356079e-01 -6.8892109394073486e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0708099365234375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2607 1.5000000000000000e+00 0 -1 2608
-            1.5000000000000000e+00 -2 -3 2609 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.5658573508262634e-01 4.5419740676879883e-01
-            3.7913042306900024e-01 -4.2572236061096191e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0967964172363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2610 1.7225000000000000e+03 0 -1 2611 904. -2 -3 2612
-            48.</internalNodes>
-          <leafValues>
-            -4.9103862047195435e-01 2.5986543297767639e-01
-            -6.5187561511993408e-01 7.3263108730316162e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1015785217285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2613 8.5500000000000000e+01 0 -1 2614
-            3.2500000000000000e+01 -2 -3 2615 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0590304732322693e-01 -6.0726463794708252e-01
-            4.5478045940399170e-01 -2.1701261401176453e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1222023010253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2616 1.1500000000000000e+01 0 -1 2617
-            3.5000000000000000e+00 -2 -3 2618 570.</internalNodes>
-          <leafValues>
-            4.0577322244644165e-01 -2.8158581256866455e-01
-            -7.0219916105270386e-01 7.8437590599060059e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1114990234375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2619 1.5000000000000000e+00 0 -1 2620
-            5.0000000000000000e-01 -2 -3 2621 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.7717106342315674e-01 -8.8117665052413940e-01
-            3.8160988688468933e-01 -1.6836205124855042e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0563499450683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2622 2.5500000000000000e+01 0 -1 2623
-            1.2500000000000000e+01 -2 -3 2624 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5149054527282715e-01 3.2653099298477173e-01
-            3.5567849874496460e-01 -6.7506045103073120e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1009407043457031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2625 3.5000000000000000e+00 0 -1 2626
-            2.2985000000000000e+03 -2 -3 2627 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.4590899348258972e-01 -2.8159150481224060e-01
-            -5.6732189655303955e-01 2.0876012742519379e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1270759582519531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2628 1.3500000000000000e+01 0 -1 2629
-            4.4500000000000000e+01 -2 -3 2630 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7286604642868042e-01 -7.5421804189682007e-01
-            2.6134765148162842e-01 -5.9037572145462036e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1395576477050781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2631 4.4750000000000000e+02 0 -1 2632
-            1.9500000000000000e+01 -2 -3 2633 2.7965000000000000e+03</internalNodes>
-          <leafValues>
-            1.2481955438852310e-01 -4.5122003555297852e-01
-            7.7366709709167480e-01 -3.6004805564880371e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1301132202148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2634 2.5000000000000000e+00 0 -1 2635 6. -2 -3 2636
-            1.3995000000000000e+03</internalNodes>
-          <leafValues>
-            1. -1. 4.4335600733757019e-01 -9.4446659088134766e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.1370132446289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2637 4.1250000000000000e+02 0 -1 2638
-            1.5000000000000000e+00 -2 -3 2639 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9000430405139923e-02 -4.9422886967658997e-01
-            -9.1928571462631226e-01 4.6428659558296204e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1621879577636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2640 2.8500000000000000e+01 0 -1 2641
-            2.6500000000000000e+01 -2 -3 2642 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7164541482925415e-01 2.5174945592880249e-01
-            1.3210830092430115e-01 -8.8470876216888428e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2271644592285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2643 2.5000000000000000e+00 0 -1 2644
-            1.0500000000000000e+01 -2 -3 2645 86.</internalNodes>
-          <leafValues>
-            -6.9350771605968475e-02 6.4976197481155396e-01
-            -7.7881592512130737e-01 -6.0378432273864746e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.2486991882324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2646 2.7500000000000000e+01 0 -1 2647
-            4.5000000000000000e+00 -2 -3 2648 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2361882925033569e-01 3.2168322801589966e-01
-            2.4581556022167206e-01 -5.5088657140731812e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2648330688476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2649 1.1500000000000000e+01 0 -1 2650
-            2.5000000000000000e+00 -2 -3 2651 552.</internalNodes>
-          <leafValues>
-            5.5005900561809540e-02 -6.6145080327987671e-01
-            -9.3321514129638672e-01 2.9643073678016663e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2730377197265625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2652 1835. 0 -1 2653 9026. -2 -3 2654
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.2883286476135254e-01 9.0321773290634155e-01
-            8.2042239606380463e-02 -4.4094491004943848e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2976600646972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2655 7.5000000000000000e+00 0 -1 2656 27. -2 -3 2657
-            7.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6883772611618042e-01 8.2824200391769409e-01
-            2.4622967839241028e-01 -7.1693640947341919e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2621650695800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2658 8.5000000000000000e+00 0 -1 2659
-            5.0000000000000000e-01 -2 -3 2660 55.</internalNodes>
-          <leafValues>
-            2.1821559965610504e-01 -3.5495325922966003e-01
-            -5.7552605867385864e-01 6.4010292291641235e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2944847106933594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2661 5.5000000000000000e+00 0 -1 2662 9109. -2 -3 2663
-            3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6217045038938522e-02 -6.7411881685256958e-01
-            4.6031165122985840e-01 -1.3432784378528595e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2844596862792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2664 4.5000000000000000e+00 0 -1 2665
-            1.9500000000000000e+01 -2 -3 2666 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.6067945957183838e-01 6.5172028541564941e-01
-            5.3896325826644897e-01 -1.0024529695510864e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2988021850585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2667 2.3500000000000000e+01 0 -1 2668
-            3.5000000000000000e+00 -2 -3 2669 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6205202341079712e-01 -4.8302540183067322e-01
-            -3.1453946232795715e-01 4.5836016535758972e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3242561340332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2670 9.0500000000000000e+01 0 -1 2671
-            4.1500000000000000e+01 -2 -3 2672 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5454065203666687e-01 -3.1304958462715149e-01
-            -9.7736436128616333e-01 6.2847685813903809e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3276382446289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2673 1.7500000000000000e+01 0 -1 2674
-            8.3500000000000000e+01 -2 -3 2675 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.6938213109970093e-01 -9.2754542827606201e-01
-            3.0042541027069092e-01 -2.8111898899078369e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2934799194335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2676 3.3500000000000000e+01 0 -1 2677
-            3.6050000000000000e+02 -2 -3 2678 94.</internalNodes>
-          <leafValues>
-            -3.8239040970802307e-01 1.4262221753597260e-01
-            7.1967273950576782e-01 -7.4638730287551880e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3355155944824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2679 6.5000000000000000e+00 0 -1 2680 25. -2 -3 2681
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2031919956207275e-01 1. 4.2035222053527832e-01
-            -1.8400678038597107e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3341117858886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2682 2.7550000000000000e+02 0 -1 2683
-            3.9500000000000000e+01 -2 -3 2684 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1554982066154480e-01 2.4787786602973938e-01
-            -9.8996192216873169e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.3088867187500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2685 5.0000000000000000e-01 0 -1 2686
-            3.4500000000000000e+01 -2 -3 2687 3.3250000000000000e+02</internalNodes>
-          <leafValues>
-            7.6295363903045654e-01 -3.0974990129470825e-01
-            -2.5224679708480835e-01 6.2690478563308716e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3444519042968750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2688 1.5000000000000000e+00 0 -1 2689
-            6.6500000000000000e+01 -2 -3 2690 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.7374388575553894e-01 3.5564544796943665e-01
-            2.2661061584949493e-01 -5.4821664094924927e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3531219482421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2691 1.5450000000000000e+02 0 -1 2692
-            3.2500000000000000e+01 -2 -3 2693 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.1394637227058411e-01 8.1045120954513550e-01
-            -4.8737204074859619e-01 8.6701557040214539e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.3356086730957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2694 3.5000000000000000e+00 0 -1 2695
-            9.5000000000000000e+00 -2 -3 2696 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3526990562677383e-02 5.4166865348815918e-01
-            -6.0305202007293701e-01 7.6919454336166382e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3536964416503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2697 2.7950000000000000e+02 0 -1 2698
-            2.1500000000000000e+01 -2 -3 2699 3.5045000000000000e+03</internalNodes>
-          <leafValues>
-            -4.9123385548591614e-01 5.2362555265426636e-01
-            -7.9040545225143433e-01 -3.3013910055160522e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.3796424865722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2700 9.5000000000000000e+00 0 -1 2701
-            4.5000000000000000e+00 -2 -3 2702 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8670431971549988e-01 -2.3416480422019958e-01
-            -4.7568261623382568e-01 2.2792084515094757e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4059371948242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2703 5.5500000000000000e+01 0 -1 2704
-            5.0000000000000000e-01 -2 -3 2705 3.9185000000000000e+03</internalNodes>
-          <leafValues>
-            2.2618722915649414e-01 -9.2116522789001465e-01
-            -3.2166120409965515e-01 2.6295122504234314e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4028038024902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2706 1.1500000000000000e+01 0 -1 2707 15. -2 -3 2708
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.7838518619537354e-01 -8.4853267669677734e-01
-            3.6655527353286743e-01 -1.8356652557849884e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3846260070800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2709 5.5000000000000000e+00 0 -1 2710 325. -2 -3 2711
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7982141971588135e-01 1. 3.4321373701095581e-01
-            -1.8177768588066101e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4174667358398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2712 9.5000000000000000e+00 0 -1 2713
-            1.9050000000000000e+02 -2 -3 2714 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9107550382614136e-01 -7.7517443895339966e-01
-            5.7090425491333008e-01 -1.1606752872467041e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4324356079101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2715 2.7500000000000000e+01 0 -1 2716
-            4.0885000000000000e+03 -2 -3 2717 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.7019419670104980e-01 -8.7088418006896973e-01
-            2.1278975903987885e-01 -4.6584972739219666e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4102806091308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2718 2.1250000000000000e+02 0 -1 2719
-            5.6500000000000000e+01 -2 -3 2720 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.1476839482784271e-01 -4.4505792856216431e-01 1.
-            -7.7488011121749878e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4038200378417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2721 9.4500000000000000e+01 0 -1 2722
-            1.5000000000000000e+00 -2 -3 2723 98.</internalNodes>
-          <leafValues>
-            1.9173437356948853e-01 -5.0092142820358276e-01
-            -4.4755691289901733e-01 4.7253641486167908e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4137344360351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2724 1.1515000000000000e+03 0 -1 2725
-            2.0050000000000000e+02 -2 -3 2726 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2353651523590088e-02 5.8139425516128540e-01
-            3.6044213920831680e-02 -6.4356809854507446e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4309326171875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2727 1.0500000000000000e+01 0 -1 2728 2663. -2 -3 2729
-            2.4250000000000000e+02</internalNodes>
-          <leafValues>
-            4.7916080802679062e-02 -5.9066039323806763e-01
-            7.3575264215469360e-01 -8.9028924703598022e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4420402526855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2730 5.4665000000000000e+03 0 -1 2731
-            1.5000000000000000e+00 -2 -3 2732 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7950283885002136e-01 -2.4711169302463531e-01
-            -9.4440460205078125e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.4394798278808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2733 1.1050000000000000e+02 0 -1 2734 63. -2 -3 2735
-            6.4650000000000000e+02</internalNodes>
-          <leafValues>
-            4.1327634453773499e-01 -8.2762449979782104e-01
-            -2.5601835921406746e-02 7.5820297002792358e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4607276916503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2736 2.5000000000000000e+00 0 -1 2737
-            2.5500000000000000e+01 -2 -3 2738 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7000726908445358e-02 6.8266022205352783e-01
-            1.4960629865527153e-02 -6.4148795604705811e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5164596557617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2739 5.3500000000000000e+01 0 -1 2740
-            2.9500000000000000e+01 -2 -3 2741 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.2329825013875961e-01 5.5731654167175293e-01
-            -8.3035022020339966e-01 7.4285131692886353e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5318458557128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2742 6.0500000000000000e+01 0 -1 2743
-            5.5750000000000000e+02 -2 -3 2744 2.4455000000000000e+03</internalNodes>
-          <leafValues>
-            -9.1876357793807983e-01 1.5386807918548584e-01 1.
-            -8.4595882892608643e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5138092041015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2745 1.4500000000000000e+01 0 -1 2746 133. -2 -3 2747
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.3546825647354126e-01 -7.7808952331542969e-01
-            4.2497289180755615e-01 -1.8036651611328125e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5170181274414062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2748 2.6500000000000000e+01 0 -1 2749
-            1.6500000000000000e+01 -2 -3 2750 3.0550000000000000e+02</internalNodes>
-          <leafValues>
-            9.9500669166445732e-03 -6.0836273431777954e-01
-            5.2151191234588623e-01 -3.4265536069869995e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5376792907714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2751 3.5000000000000000e+00 0 -1 2752
-            1.6500000000000000e+01 -2 -3 2753 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3600571155548096e-01 -8.0105257034301758e-01
-            -5.1988095045089722e-01 2.0660850405693054e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5609893798828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2754 1.0500000000000000e+01 0 -1 2755
-            1.5000000000000000e+00 -2 -3 2756 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.2382709980010986e-01 4.6645849943161011e-01
-            3.5961329936981201e-02 -5.3663784265518188e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5939903259277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2757 9.5500000000000000e+01 0 -1 2758 11828. -2 -3 2759
-            3.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1205846965312958e-02 -9.5047873258590698e-01
-            3.3001002669334412e-01 -5.8486175537109375e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5633140563964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2760 1.5000000000000000e+00 0 -1 2761
-            7.5000000000000000e+00 -2 -3 2762 1.5605000000000000e+03</internalNodes>
-          <leafValues>
-            -1.8193472921848297e-01 5.5474883317947388e-01
-            6.6240763664245605e-01 -3.6709865927696228e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5665580749511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2763 5.0000000000000000e-01 0 -1 2764
-            3.5000000000000000e+00 -2 -3 2765 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3473922014236450e-01 4.5258450508117676e-01
-            -6.2842214107513428e-01 3.2442636787891388e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.5813781738281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2766 1.8050000000000000e+02 0 -1 2767
-            1.5000000000000000e+00 -2 -3 2768 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1317859888076782e-01 1.4819937944412231e-01
-            7.9641395807266235e-01 -9.0252667665481567e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6130287170410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2769 2.5000000000000000e+00 0 -1 2770
-            1.5000000000000000e+00 -2 -3 2771 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.2908695936203003e-01 6.0830992460250854e-01
-            -3.5930514335632324e-01 2.5600242614746094e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5960426330566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2772 3.5000000000000000e+00 0 -1 2773
-            2.5000000000000000e+00 -2 -3 2774 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0980219841003418e-01 -8.7654078006744385e-01
-            3.7149679660797119e-01 -1.6985960304737091e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5911773681640625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2775 2.0750000000000000e+02 0 -1 2776
-            2.5000000000000000e+00 -2 -3 2777 4.0550000000000000e+02</internalNodes>
-          <leafValues>
-            6.4895875751972198e-02 -5.2602392435073853e-01
-            8.3245736360549927e-01 -4.8650942742824554e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.6134010314941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2778 6.2500000000000000e+01 0 -1 2779
-            3.6650000000000000e+02 -2 -3 2780 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.8410977125167847e-01 2.2223210334777832e-01
-            -8.4461647272109985e-01 7.4402904510498047e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6428909301757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2781 2.5000000000000000e+00 0 -1 2782
-            6.5000000000000000e+00 -2 -3 2783 4.1750000000000000e+02</internalNodes>
-          <leafValues>
-            5.1555430889129639e-01 -1.5588639676570892e-01
-            1.7773015797138214e-01 -5.0610744953155518e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6826782226562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2784 1.5505000000000000e+03 0 -1 2785
-            5.0000000000000000e-01 -2 -3 2786 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5983416438102722e-01 -5.7004302740097046e-01
-            -5.4764652252197266e-01 3.9787346124649048e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7037475585937500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2787 5.0000000000000000e-01 0 -1 2788
-            8.5000000000000000e+00 -2 -3 2789 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.9977160692214966e-01 3.6234867572784424e-01
-            2.8641289472579956e-01 -4.9720412492752075e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6423477172851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2790 1.4500000000000000e+01 0 -1 2791 47. -2 -3 2792
-            3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9334439635276794e-01 -7.6565510034561157e-01
-            2.7979478240013123e-01 -3.8790243864059448e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6541648864746094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2793 3.8500000000000000e+01 0 -1 2794
-            1.5000000000000000e+00 -2 -3 2795 2.0850000000000000e+02</internalNodes>
-          <leafValues>
-            1.1817480623722076e-01 -4.9608191847801208e-01
-            4.3412643671035767e-01 -8.0814820528030396e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6554786682128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2796 5.0000000000000000e-01 0 -1 2797
-            5.0000000000000000e-01 -2 -3 2798 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7674239873886108e-01 4.3930459022521973e-01
-            1.3139089569449425e-02 -6.7160016298294067e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6836524963378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2799 2.1500000000000000e+01 0 -1 2800
-            3.2750000000000000e+02 -2 -3 2801 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1266799569129944e-01 6.9435644149780273e-01
-            -5.9980082511901855e-01 6.5070140361785889e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6815773010253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2802 9.8850000000000000e+02 0 -1 2803
-            4.5000000000000000e+00 -2 -3 2804 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5975960493087769e-01 -1.4526490122079849e-02
-            -4.3337148427963257e-01 3.4662330150604248e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6753486633300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2805 5.8750000000000000e+02 0 -1 2806
-            4.0050000000000000e+02 -2 -3 2807 5.8550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1701253652572632e-01 8.5829895734786987e-01
-            6.8487954139709473e-01 -6.2283929437398911e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7153579711914062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2808 5.0000000000000000e-01 0 -1 2809
-            2.5000000000000000e+00 -2 -3 2810 9.3050000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2558873891830444e-01 4.3454471230506897e-01
-            -8.1130824983119965e-02 -8.3618861436843872e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7351936340332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2811 3.5000000000000000e+00 0 -1 2812
-            7.5000000000000000e+00 -2 -3 2813 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6148520708084106e-01 4.0121293067932129e-01
-            1.6389970481395721e-01 -5.4697543382644653e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7288108825683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2814 9.8500000000000000e+01 0 -1 2815
-            1.5000000000000000e+00 -2 -3 2816 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.0000725388526917e-01 -5.5716449022293091e-01
-            6.8792611360549927e-01 -6.3822388648986816e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7567855834960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2817 1.2500000000000000e+01 0 -1 2818
-            5.5000000000000000e+00 -2 -3 2819 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.0839080810546875e-01 2.7974289655685425e-01
-            -9.0464597940444946e-01 -9.1534465551376343e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7742805480957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2820 2.9050000000000000e+02 0 -1 2821
-            4.0350000000000000e+02 -2 -3 2822 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1221635341644287e-01 6.0925048589706421e-01
-            3.3704385161399841e-01 -5.3282082080841064e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7797904968261719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2823 1.4500000000000000e+01 0 -1 2824 1690. -2 -3 2825
-            7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5097710341215134e-02 -8.7218642234802246e-01
-            -7.2020220756530762e-01 3.5318741202354431e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8284759521484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2826 2.2450000000000000e+02 0 -1 2827
-            1.9500000000000000e+01 -2 -3 2828 1.9535000000000000e+03</internalNodes>
-          <leafValues>
-            -1.3064707815647125e-01 4.8685196042060852e-01
-            -8.4640699625015259e-01 1.8381766974925995e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8222618103027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2829 5.0000000000000000e-01 0 -1 2830
-            1.2500000000000000e+01 -2 -3 2831 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3857803344726562e-01 5.4414546489715576e-01
-            1.8226167559623718e-01 -5.0997644662857056e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8490211486816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2832 8.5000000000000000e+00 0 -1 2833 1990. -2 -3 2834
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.3869510889053345e-01 8.5612648725509644e-01
-            6.6255128383636475e-01 -1.8713159859180450e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8309280395507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2835 5.0000000000000000e-01 0 -1 2836
-            1.5350000000000000e+02 -2 -3 2837 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7325781583786011e-01 -9.1693335771560669e-01
-            -3.7281343340873718e-01 4.3598929047584534e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8545036315917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2838 2.5000000000000000e+00 0 -1 2839
-            3.5000000000000000e+00 -2 -3 2840 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1305176019668579e-01 2.3575115203857422e-01
-            8.2359343767166138e-01 -5.0804460048675537e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8620689392089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2841 4.7950000000000000e+02 0 -1 2842
-            7.4550000000000000e+02 -2 -3 2843 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 5.5236303806304932e-01 -4.9426826834678650e-01
-            7.5652711093425751e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.8498481750488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2844 5.0000000000000000e-01 0 -1 2845
-            5.0000000000000000e-01 -2 -3 2846 9.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3736324310302734e-01 3.9632564783096313e-01
-            -7.2766882181167603e-01 4.8122378066182137e-03</leafValues></_>
-        <_>
-          <treeThreshold>8.8912002563476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2847 3.5000000000000000e+00 0 -1 2848
-            5.0000000000000000e-01 -2 -3 2849 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.1133011579513550e-01 -1.0473229736089706e-01
-            3.0710890889167786e-01 -4.0350064635276794e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9316238403320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2850 1.6500000000000000e+01 0 -1 2851
-            1.5000000000000000e+00 -2 -3 2852 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.4607600001618266e-04 -7.6641041040420532e-01
-            -3.1311124563217163e-01 4.4425663352012634e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9348419189453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2853 1.1500000000000000e+01 0 -1 2854
-            1.7500000000000000e+01 -2 -3 2855 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.8593395948410034e-01 1. 2.4410592019557953e-01
-            -3.1496018171310425e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9189270019531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2856 1.6500000000000000e+01 0 -1 2857
-            6.5000000000000000e+00 -2 -3 2858 74.</internalNodes>
-          <leafValues>
-            8.4461316466331482e-02 -4.1109508275985718e-01
-            9.0820807218551636e-01 -3.5371799021959305e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.9124603271484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2859 5.8750000000000000e+02 0 -1 2860 9863. -2 -3 2861
-            1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3491946458816528e-01 4.8731520771980286e-01
-            -5.2020323276519775e-01 3.2958313822746277e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9286071777343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2862 9.7500000000000000e+01 0 -1 2863
-            2.1950000000000000e+02 -2 -3 2864 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.2516252398490906e-01 -1. 2.8237330913543701e-01
-            -5.0328004360198975e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9424316406250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2865 5.2500000000000000e+01 0 -1 2866 61. -2 -3 2867
-            1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0655448436737061e-01 -5.1969325542449951e-01
-            3.5390514135360718e-01 -4.7365185618400574e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9726875305175781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2868 5.8500000000000000e+01 0 -1 2869
-            1.4500000000000000e+01 -2 -3 2870 42.</internalNodes>
-          <leafValues>
-            3.0255803465843201e-01 -2.0427562296390533e-01
-            -8.5021793842315674e-01 7.0594644546508789e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9578895568847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2871 1.0500000000000000e+01 0 -1 2872
-            1.1950000000000000e+02 -2 -3 2873 24.</internalNodes>
-          <leafValues>
-            -2.4734574556350708e-01 3.1361401081085205e-01
-            8.7930864095687866e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>8.9768898010253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2874 7.5000000000000000e+00 0 -1 2875
-            7.4500000000000000e+01 -2 -3 2876 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1221041083335876e-01 -7.0097410678863525e-01
-            2.4191275238990784e-01 -5.3588688373565674e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9684265136718750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2877 3.5000000000000000e+00 0 -1 2878
-            2.7950000000000000e+02 -2 -3 2879 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2314370274543762e-01 -6.7686629295349121e-01
-            -3.6168605089187622e-01 3.5209780931472778e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9795585632324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2880 2.1050000000000000e+02 0 -1 2881
-            3.5000000000000000e+00 -2 -3 2882 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2586346864700317e-01 -3.2540410757064819e-01
-            -8.8829517364501953e-01 4.9435129761695862e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9792076110839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2883 2.5000000000000000e+00 0 -1 2884
-            2.9500000000000000e+01 -2 -3 2885 3.9250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1523008346557617e-01 3.7085807323455811e-01
-            9.0023398399353027e-02 -6.0440886020660400e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9958946228027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2886 1.0500000000000000e+01 0 -1 2887
-            1.2500000000000000e+01 -2 -3 2888 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9052956104278564e-01 2.1934990584850311e-01
-            -5.8395588397979736e-01 5.4426544904708862e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9670410156250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2889 1.5000000000000000e+00 0 -1 2890
-            2.5000000000000000e+00 -2 -3 2891 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5811334848403931e-01 5.2128863334655762e-01
-            -3.4101697802543640e-01 2.6454553008079529e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9847396850585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2892 1.4500000000000000e+01 0 -1 2893
-            1.1500000000000000e+01 -2 -3 2894 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8977336883544922e-01 4.3855726718902588e-01
-            -5.0296223163604736e-01 1.7698343098163605e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0157752990722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2895 5.0000000000000000e-01 0 -1 2896
-            8.5000000000000000e+00 -2 -3 2897 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.1999164223670959e-01 3.1035554409027100e-01
-            2.2039012610912323e-01 -5.3406608104705811e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0098411560058594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2898 5.0000000000000000e-01 0 -1 2899
-            2.1750000000000000e+02 -2 -3 2900 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9334795922040939e-02 6.7584723234176636e-01
-            -5.2655130624771118e-01 2.6948010921478271e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0537551879882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2901 5.0000000000000000e-01 0 -1 2902
-            7.5000000000000000e+00 -2 -3 2903 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9564437866210938e-01 4.3913722038269043e-01
-            -3.6194628477096558e-01 3.8801836967468262e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0335647583007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2904 1.5000000000000000e+00 0 -1 2905
-            5.4550000000000000e+02 -2 -3 2906 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.8192542791366577e-01 3.3667489886283875e-01
-            -2.0190110802650452e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0692535400390625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2907 1.5000000000000000e+00 0 -1 2908
-            8.5000000000000000e+00 -2 -3 2909 344.</internalNodes>
-          <leafValues>
-            -4.5181885361671448e-01 3.5688367486000061e-01
-            -5.9278815984725952e-01 6.4385175704956055e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0584419250488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2910 4.6500000000000000e+01 0 -1 2911
-            2.5000000000000000e+00 -2 -3 2912 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3527498841285706e-01 -1.0811836272478104e-01
-            -6.3831877708435059e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.0788459777832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2913 294. 0 -1 2914 14. -2 -3 2915
-            4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4630513191223145e-01 1. 2.0404133200645447e-01
-            -4.8527365922927856e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0862548828125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2916 3.3500000000000000e+01 0 -1 2917 52. -2 -3 2918
-            5.2705000000000000e+03</internalNodes>
-          <leafValues>
-            7.2816586494445801e-01 -5.4465806484222412e-01
-            -1.1197114735841751e-01 5.4565620422363281e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0902687072753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2919 4.1050000000000000e+02 0 -1 2920 139. -2 -3 2921
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1185075044631958e-01 6.4714074134826660e-01
-            1.9417783617973328e-01 -3.6837339401245117e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0985298156738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2922 5.7650000000000000e+02 0 -1 2923
-            2.9450000000000000e+02 -2 -3 2924 3.9150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.4534245729446411e-01 1. 4.4867873191833496e-01
-            -1.7172452807426453e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1107513427734375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2925 3.5000000000000000e+00 0 -1 2926
-            1.5500000000000000e+01 -2 -3 2927 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3989793062210083e-01 8.9864379167556763e-01
-            2.8704452514648438e-01 -2.8833448886871338e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1266738891601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2928 4.9775000000000000e+03 0 -1 2929
-            4.5000000000000000e+00 -2 -3 2930 1.9865000000000000e+03</internalNodes>
-          <leafValues>
-            -7.4095195531845093e-01 1.5922544896602631e-01
-            -9.0941101312637329e-01 1.8585844337940216e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1225799560546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2931 5.0000000000000000e-01 0 -1 2932
-            4.5000000000000000e+00 -2 -3 2933 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6407551765441895e-01 5.0083768367767334e-01
-            -7.2587943077087402e-01 -5.0088282674551010e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0573638916015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2934 8.5000000000000000e+00 0 -1 2935
-            2.7500000000000000e+01 -2 -3 2936 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.4017934501171112e-02 5.9898555278778076e-01
-            1.7782434821128845e-01 -6.5216350555419922e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0737045288085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2937 5.0000000000000000e-01 0 -1 2938
-            1.0450000000000000e+02 -2 -3 2939 1.6950000000000000e+02</internalNodes>
-          <leafValues>
-            6.0130667686462402e-01 -9.1431754827499390e-01
-            -4.1352280974388123e-01 1.6340811550617218e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1356544494628906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2940 1.5000000000000000e+00 0 -1 2941
-            7.5000000000000000e+00 -2 -3 2942 1.6805000000000000e+03</internalNodes>
-          <leafValues>
-            -2.0215752720832825e-01 6.1950212717056274e-01
-            -5.5768364667892456e-01 3.5280909389257431e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0944335937500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2943 1.1155000000000000e+03 0 -1 2944
-            1.3500000000000000e+01 -2 -3 2945 4.1950000000000000e+02</internalNodes>
-          <leafValues>
-            6.8771177530288696e-01 -9.7811706364154816e-02
-            -4.1221308708190918e-01 1.9626976549625397e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1227783203125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2946 1.7535000000000000e+03 0 -1 2947
-            6.5000000000000000e+00 -2 -3 2948 8.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8345218300819397e-01 -2.8811171650886536e-01
-            -9.1736477613449097e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.1561256408691406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2949 3.9500000000000000e+01 0 -1 2950 169. -2 -3 2951
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5076478719711304e-01 8.8347315788269043e-01
-            3.4602180123329163e-01 -2.1803687512874603e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0775177001953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2952 1.2550000000000000e+02 0 -1 2953
-            8.5000000000000000e+00 -2 -3 2954 156.</internalNodes>
-          <leafValues>
-            -3.8729524612426758e-01 2.9583999514579773e-01
-            -7.9863160848617554e-01 3.9145687222480774e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1042625427246094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2955 2.5000000000000000e+00 0 -1 2956
-            2.5750000000000000e+02 -2 -3 2957 4685.</internalNodes>
-          <leafValues>
-            2.6745319366455078e-01 -6.6209262609481812e-01
-            -7.7674686908721924e-01 7.1668751537799835e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.1575469970703125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2958 1.0500000000000000e+01 0 -1 2959
-            1.0550000000000000e+02 -2 -3 2960 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.3284192085266113e-01 -3.2092022895812988e-01
-            -9.5425200462341309e-01 5.0468903779983521e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1930732727050781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2961 1.2500000000000000e+01 0 -1 2962
-            1.8950000000000000e+02 -2 -3 2963 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8867003321647644e-01 3.5526236891746521e-01
-            2.9676264524459839e-01 -6.0322642326354980e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2231742858886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2964 7.5000000000000000e+00 0 -1 2965
-            1.9500000000000000e+01 -2 -3 2966 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3552119731903076e-01 3.0101212859153748e-01
-            -5.0962239503860474e-01 5.0894033908843994e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2388069152832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2967 1.1500000000000000e+01 0 -1 2968
-            1.5000000000000000e+00 -2 -3 2969 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5632244944572449e-01 -4.4891685247421265e-01
-            6.4296531677246094e-01 -5.9720402956008911e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2552001953125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2970 1.0675000000000000e+03 0 -1 2971
-            4.3756500000000000e+04 -2 -3 2972 4.9450000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 8.0944263935089111e-01 -3.8900658488273621e-01
-            1.6393135488033295e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2899009704589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2973 2.5000000000000000e+00 0 -1 2974
-            1.4055000000000000e+03 -2 -3 2975 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6320782899856567e-01 -5.9554386138916016e-01
-            -7.9579621553421021e-01 3.4700983762741089e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2847854614257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2976 8.5500000000000000e+01 0 -1 2977
-            1.2550000000000000e+02 -2 -3 2978 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 9.6116375923156738e-01 2.2865201532840729e-01
-            -2.7930772304534912e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2859100341796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2979 1.1350000000000000e+02 0 -1 2980
-            2.0500000000000000e+01 -2 -3 2981 1.6150000000000000e+02</internalNodes>
-          <leafValues>
-            1.7545458674430847e-01 -7.0411294698715210e-01
-            3.2774302363395691e-01 -6.4024138450622559e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2426673889160156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2982 2.5000000000000000e+00 0 -1 2983
-            2.7500000000000000e+01 -2 -3 2984 1.0350000000000000e+02</internalNodes>
-          <leafValues>
-            6.4859634637832642e-01 -6.6807705163955688e-01
-            2.5129410624504089e-01 -4.3242052197456360e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2854904174804688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2985 3.0050000000000000e+02 0 -1 2986 333. -2 -3 2987
-            3.2045000000000000e+03</internalNodes>
-          <leafValues>
-            -3.9532727003097534e-01 8.3435887098312378e-01
-            4.2823007702827454e-01 -3.9525333046913147e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3196861267089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2988 2.5000000000000000e+00 0 -1 2989
-            6.5000000000000000e+00 -2 -3 2990 4.8895000000000000e+03</internalNodes>
-          <leafValues>
-            -8.9721941947937012e-01 3.4195712208747864e-01
-            6.4947992563247681e-01 -4.5169207453727722e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3306480407714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2991 2.7500000000000000e+01 0 -1 2992
-            1.5000000000000000e+00 -2 -3 2993 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0962056368589401e-01 -4.2897370457649231e-01
-            9.1374301910400391e-01 -6.3376551866531372e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3460906982421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2994 1.0500000000000000e+01 0 -1 2995
-            3.5000000000000000e+00 -2 -3 2996 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.2791311144828796e-01 -5.2986472845077515e-01
-            4.5877307653427124e-01 -1.7966294288635254e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3358589172363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2997 3.4500000000000000e+01 0 -1 2998 222. -2 -3 2999
-            2.0750000000000000e+02</internalNodes>
-          <leafValues>
-            7.5331348180770874e-01 -9.4210654497146606e-01
-            -1.0231721401214600e-01 4.7118717432022095e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3666183471679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 3000 2.2500000000000000e+01 0 -1 3001
-            1.8450000000000000e+02 -2 -3 3002 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.5824659466743469e-01 3.0759900808334351e-01
-            6.4143782854080200e-01 -6.5782296657562256e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3088340759277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 3003 1.3350000000000000e+02 0 -1 3004 830. -2 -3 3005
-            2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9563269615173340e-01 6.3497310876846313e-01
-            -5.7784938812255859e-01 6.1700064688920975e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.2995674133300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 3006 4.5500000000000000e+01 0 -1 3007
-            1.5000000000000000e+00 -2 -3 3008 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5369678735733032e-01 -9.2660412192344666e-02
-            -7.4712693691253662e-01 6.0710644721984863e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2739532470703125e+01</treeThreshold>
-          <internalNodes>
-            1 2 3009 1.2950000000000000e+02 0 -1 3010 1144. -2 -3 3011
-            4.2850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.0763772726058960e-01 9.4605678319931030e-01
-            -2.5614449381828308e-01 4.1044127941131592e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2615875244140625e+01</treeThreshold>
-          <internalNodes>
-            1 2 3012 2.3500000000000000e+01 0 -1 3013 36. -2 -3 3014
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            8.3025622367858887e-01 -8.2933390140533447e-01
-            4.6695771813392639e-01 -1.2365625053644180e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3196029663085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 3015 2.0450000000000000e+02 0 -1 3016
-            1.0500000000000000e+01 -2 -3 3017 524.</internalNodes>
-          <leafValues>
-            -1.5761210024356842e-01 5.8015257120132446e-01
-            -8.8289064168930054e-01 2.2438578307628632e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3732429504394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 3018 3.3500000000000000e+01 0 -1 3019
-            1.8500000000000000e+01 -2 -3 3020 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8793593049049377e-01 -5.8576709032058716e-01
-            5.3640323877334595e-01 -8.2473360002040863e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.3099838256835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 3021 1.3500000000000000e+01 0 -1 3022
-            5.0000000000000000e-01 -2 -3 3023 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0108803510665894e-01 -6.3259094953536987e-01
-            -7.1200174093246460e-01 2.7906426787376404e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3105216979980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 3024 3.9050000000000000e+02 0 -1 3025 1243. -2 -3 3026
-            4.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8503718376159668e-01 9.7225552797317505e-01
-            5.3784158080816269e-03 -7.7111572027206421e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3588562011718750e+01</treeThreshold>
-          <internalNodes>
-            1 2 3027 1.2850000000000000e+02 0 -1 3028
-            9.5000000000000000e+00 -2 -3 3029 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.3606645464897156e-01 -5.4860621690750122e-01
-            4.8334029316902161e-01 -1.3527640700340271e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3835968017578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 3030 4.5000000000000000e+00 0 -1 3031
-            4.5000000000000000e+00 -2 -3 3032 1.3415000000000000e+03</internalNodes>
-          <leafValues>
-            -7.8450918197631836e-01 1.6970160603523254e-01
-            -5.8498537540435791e-01 2.4740667641162872e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4142906188964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 3033 4.3500000000000000e+01 0 -1 3034
-            4.5000000000000000e+00 -2 -3 3035 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0693769454956055e-01 -2.6115962862968445e-01
-            -8.9926475286483765e-01 7.7170163393020630e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4121742248535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 3036 3.3500000000000000e+01 0 -1 3037 5772. -2 -3 3038
-            8.2650000000000000e+02</internalNodes>
-          <leafValues>
-            6.0314506292343140e-01 -8.1919574737548828e-01
-            -2.1161338314414024e-02 7.4580943584442139e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3867355346679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 3039 1.5000000000000000e+00 0 -1 3040
-            2.5000000000000000e+00 -2 -3 3041 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 6.5151697397232056e-01 -2.5439009070396423e-01
-            4.9923765659332275e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4093467712402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 3042 7584. 0 -1 3043 5.1250000000000000e+02 -2 -3 3044
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7158271074295044e-01 2.2611454129219055e-01
-            -8.3964759111404419e-01 4.5222747325897217e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4337669372558594e+01</treeThreshold>
-          <internalNodes>
-            1 2 3045 1.5625000000000000e+03 0 -1 3046
-            1.0615000000000000e+03 -2 -3 3047 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 9.3781590461730957e-01 2.4420407414436340e-01
-            -2.9586532711982727e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4508171081542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 3048 1.3500000000000000e+01 0 -1 3049 23. -2 -3 3050
-            1.5245000000000000e+03</internalNodes>
-          <leafValues>
-            -8.5904693603515625e-01 1.7050011456012726e-01
-            9.2488127946853638e-01 -9.8964858055114746e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4239341735839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 3051 5.0000000000000000e-01 0 -1 3052
-            5.5000000000000000e+00 -2 -3 3053 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7914295494556427e-02 5.4742050170898438e-01
-            -4.5447856187820435e-01 4.4385817646980286e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4594245910644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 3054 1.5000000000000000e+00 0 -1 3055
-            1.5500000000000000e+01 -2 -3 3056 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5490357875823975e-01 -4.3068945407867432e-01
-            -6.6280466318130493e-01 3.0311322771012783e-03</leafValues></_>
-        <_>
-          <treeThreshold>9.4814491271972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 3057 3.5000000000000000e+00 0 -1 3058
-            5.0000000000000000e-01 -2 -3 3059 4.0550000000000000e+02</internalNodes>
-          <leafValues>
-            7.0450115203857422e-01 -7.8278595209121704e-01
-            2.2024388611316681e-01 -4.0765863656997681e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4579345703125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 3060 1.5500000000000000e+01 0 -1 3061
-            1.5000000000000000e+00 -2 -3 3062 1934.</internalNodes>
-          <leafValues>
-            1.5189912915229797e-01 -4.7490403056144714e-01
-            -2.3514933884143829e-01 6.0529416799545288e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4922325134277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 3063 5.0000000000000000e-01 0 -1 3064
-            3.0500000000000000e+01 -2 -3 3065 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8056674599647522e-01 5.7760846614837646e-01
-            -4.7326391935348511e-01 1.4074583351612091e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5195831298828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 3066 2.7500000000000000e+01 0 -1 3067
-            1.5500000000000000e+01 -2 -3 3068 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2090973854064941e-01 2.7350622415542603e-01
-            1.3395747169852257e-02 -8.1775778532028198e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5786506652832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 3069 4.5000000000000000e+00 0 -1 3070
-            4.3500000000000000e+01 -2 -3 3071 1.0235000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7497810125350952e-01 5.9067696332931519e-01
-            -5.4431802034378052e-01 7.7079035341739655e-02</leafValues></_></trees>
-      <features>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 11 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 22 6 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 19 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 8 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 4 5 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 6 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 19 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 18 12 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 26 7 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 28 13 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 10 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 12 3 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 28 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 28 11 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 9 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 7 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 12 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 14 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 11 2 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 11 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 18 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 16 5 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 21 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 26 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 28 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 19 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 9 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 28 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 8 1 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 12 25</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 2 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 29 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 6 17</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 24 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 12 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 9 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 10 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 9 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 28 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 24 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 16 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 29 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 6 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 22 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 21 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 9 15 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 1 5 30</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 0 15 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 13 6 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 23 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 27 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 13 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 13 1 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 8 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 14 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 13 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 30 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 27 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 9 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 7 1 24</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 8 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 19 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 13 2 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 28 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 26 8 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 28 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 23 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 15 4 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 7 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 5 1 25</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 20 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 30 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 16 12 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 23 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 6 4 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 4 3 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 13 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 10 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 7 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 24 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 1 3 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 21 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 11 6 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 30 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 30 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 24 12 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 13 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 10 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 17 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 5 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 0 1 29</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 20 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 30 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 24 5 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 12 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 7 4 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 10 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 28 13 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 22 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 15 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 11 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 11 13 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 22 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 19 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 4 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 29 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 9 6 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 3 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 12 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 25 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 1 3 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 5 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 14 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 6 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 26 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 30 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 22 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 6 7 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 6 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 2 21</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 17 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 24 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 5 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 25 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 12 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 28 9 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 20 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 25 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 9 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 9 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 8 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 19 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 18 11 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 12 1 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 3 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 7 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 27 13 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 12 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 24 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 22 11 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 28 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 23 9 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 9 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 29 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 15 3 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 8 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 10 3 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 9 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 13 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 4 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 23 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 3 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 10 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 17 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 5 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 29 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 21 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 22 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 5 25</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 10 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 5 7 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 21 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 12 3 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 5 1 21</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 12 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 6 8 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 25 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 9 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 3 1 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 15 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 13 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 8 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 0 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 0 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 20 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 17 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 30 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 8 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 24 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 6 9 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 16 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 18 11 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 28 10 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 15 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 30 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 17 6 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 6 10 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 0 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 25 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 26 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 10 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 25 13 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 17 7 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 21 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 0 2 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 29 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 26 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 17 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 30 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 13 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 10 8 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 28 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 7 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 29 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 22 2 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 25 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 5 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 1 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 7 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 2 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 29 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 12 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 13 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 13 11 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 13 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 16 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 20 3 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 28 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 29 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 25 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 19 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 29 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 10 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 10 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 30 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 29 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 2 1 29</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 10 23</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 6 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 9 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 12 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 8 1 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 30 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 4 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 7 4 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 1 1 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 11 5 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 19 7 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 15 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 5 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 20 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 8 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 11 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 16 7 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 6 1 25</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 22 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 7 13 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 1 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 8 27</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 26 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 9 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 11 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 22 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 9 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 4 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 8 1 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 7 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 9 2 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 6 1 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 29 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 17 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 28 12 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 8 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 23 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 2 2 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 10 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 6 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 17 3 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 9 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 6 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 3 6 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 22 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 4 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 1 1 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 17 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 13 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 2 3 22</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 28 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 10 1 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 24 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 26 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 8 1 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 29 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 28 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 25 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 19 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 22 5 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 24 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 29 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 28 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 28 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 5 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 8 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 17 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 13 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 22 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 19 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 15 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 10 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 3 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 12 11 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 28 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 8 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 11 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 9 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 25 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 18 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 18 11 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 4 1 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 19 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 0 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 29 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 26 4 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 17 5 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 30 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 18 3 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 25 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 20 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 25 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 8 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 28 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 29 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 19 5 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 23 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 17 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 17 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 8 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 11 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 28 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 7 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 17 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 6 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 24 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 28 11 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 27 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 4 3 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 0 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 7 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 14 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 9 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 12 8 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 15 11 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 7 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 12 9 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 5 3 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 8 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 17 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 13 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 0 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 7 1 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 28 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 6 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 1 28</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 27 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 4 4 27</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 29 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 26 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 20 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 17 7 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 25 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 17 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 12 28</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 9 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 22 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 0 5 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 7 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 2 4 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 10 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 11 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 28 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 4 1 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 7 6 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 25 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 13 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 24 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 20 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 22 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 28 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 20 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 26 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 24 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 24 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 10 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 23 3 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 10 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 0 2 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 20 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 8 5 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 19 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 27 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 10 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 8 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 26 11 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 18 11 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 12 28</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 8 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 22 4 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 30 8 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 19 1 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 16 9 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 28 9 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 17 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 25 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 16 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 3 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 24 2 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 24 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 15 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 13 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 25 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 22 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 26 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 18 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 6 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 3 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 7 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 9 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 7 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 17 6 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 6 7 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 10 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 13 6 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 17 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 28 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 21 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 29 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 3 3 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 11 14 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 11 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 18 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 26 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 28 10 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 17 6 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 25 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 22 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 6 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 6 3 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 1 7 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 12 6 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 8 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 0 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 30 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 28 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 25 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 28 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 12 3 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 16 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 24 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 22 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 7 2 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 4 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 9 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 29 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 13 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 17 5 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 27 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 24 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 6 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 3 1 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 4 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 5 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 29 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 3 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 19 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 4 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 7 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 25 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 25 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 24 6 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 20 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 14 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 19 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 25 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 14 6 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 30 8 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 26 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 19 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 13 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 0 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 28 8 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 12 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 12 24</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 11 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 28 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 16 7 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 22 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 12 8 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 27 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 20 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 24 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 8 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 12 1 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 7 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 17 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 21 7 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 3 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 9 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 22 2 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 25 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 29 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 29 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 12 3 16</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 16 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 7 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 2 3 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 17 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 26 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 11 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 23 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 30 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 1 27</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 24 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 15 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 26 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 15 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 20 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 9 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 1 5 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 8 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 7 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 2 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 18 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 0 5 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 4 14 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 14 6 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 3 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 12 8 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 8 3 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 30 14 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 6 11 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 25 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 30 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 27 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 13 5 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 7 4 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 12 4 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 29 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 28 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 11 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 6 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 6 1 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 30 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 3 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 20 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 15 8 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 22 6 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 28 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 22 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 17 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 3 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 20 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 9 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 25 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 24 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 26 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 26 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 10 4 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 30 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 5 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 3 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 20 3 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 12 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 17 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 3 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 29 13 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 29 7 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 21 5 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 7 2 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 14 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 26 6 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 24 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 11 13 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 16 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 9 1 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 22 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 3 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 25 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 20 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 17 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 7 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 25 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 18 7 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 12 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 7 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 13 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 2 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 1 2 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 8 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 26 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 28 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 8 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 26 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 24 12 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 16 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 14 5 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 16 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 4 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 12 4 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 7 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 30 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 21 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 9 3 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 8 14 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 8 1 23</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 28 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 15 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 6 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 29 15 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 19 4 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 23 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 5 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 8 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 22 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 13 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 28 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 29 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 1 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 6 8 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 23 4 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 3 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 19 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 12 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 19 1 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 17 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 28 11 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 3 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 8 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 9 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 12 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 10 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 18 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 16 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 22 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 7 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 30 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 26 6 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 9 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 28 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 8 7 20</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 23 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 25 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 25 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 10 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 16 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 19 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 5 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 9 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 28 10 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 7 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 9 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 3 1 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 1 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 19 1 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 23 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 12 5 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 8 19</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 1 4 27</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 11 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 10 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 25 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 25 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 4 30</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 25 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 8 1 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 18 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 26 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 19 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 28 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 2 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 3 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 27 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 3 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 3 3 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 22 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 14 4 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 5 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 30 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 18 12 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 8 1 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 12 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 19 7 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 15 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 20 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 6 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 7 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 28 14 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 15 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 15 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 3 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 30 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 23 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 24 6 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 4 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 17 9 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 30 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 24 9 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 17 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 24 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 18 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 25 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 23 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 3 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 14 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 9 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 9 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 27 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 14 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 19 9 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 19 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 20 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 15 1 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 11 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 1 5 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 16 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 24 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 24 8 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 21 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 28 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 7 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 24 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 6 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 14 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 27 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 14 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 10 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 7 6 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 8 11 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 7 1 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 20 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 2 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 21 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 12 3 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 30 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 1 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 24 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 7 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 26 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 21 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 20 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 27 10 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 22 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 8 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 3 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 29 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 19 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 5 2 26</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 9 4 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 23 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 10 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 12 3 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 11 2 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 19 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 9 10 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 22 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 6 23</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 16 1 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 19 1 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 9 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 10 1 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 20 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 21 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 7 4 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 18 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 8 3 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 20 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 1 1 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 13 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 29 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 19 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 6 5 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 19 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 29 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 28 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 5 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 22 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 5 27</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 26 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 21 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 17 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 30 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 1 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 18 2 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 9 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 23 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 9 4 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 28 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 8 1 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 4 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 6 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 11 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 1 3 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 4 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 29 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 7 6 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 28 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 13 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 20 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 10 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 8 9 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 26 6 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 24 1 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 4 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 21 5 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 2 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 21 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 8 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 9 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 24 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 0 3 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 26 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 13 2 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 19 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 0 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 2 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 30 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 20 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 6 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 10 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 29 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 9 3 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 12 10 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 16 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 15 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 9 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 19 15 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 25 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 3 2 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 24 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 28 15 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 21 7 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 14 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 14 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 16 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 9 3 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 21 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 17 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 19 13 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 9 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 22 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 19 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 1 1 30</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 19 7 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 23 9 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 17 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 0 3 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 12 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 5 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 13 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 5 11 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 16 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 20 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 1 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 22 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 12 6 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 4 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 1 5 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 21 12 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 4 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 15 2 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 1 3 26</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 4 13 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 15 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 9 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 0 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 19 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 11 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 29 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 8 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 14 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 7 4 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 28 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 24 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 15 3 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 26 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 27 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 9 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 12 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 27 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 24 8 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 5 1 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 12 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 4 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 26 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 11 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 21 5 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 13 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 6 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 15 5 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 3 1 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 25 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 13 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 14 3 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 16 4 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 15 7 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 17 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 27 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 12 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 16 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 25 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 20 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 26 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 21 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 9 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 7 6 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 30 11 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 26 9 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 29 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 10 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 22 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 1 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 1 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 21 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 5 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 4 14 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 9 3 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 4 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 12 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 14 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 8 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 4 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 20 15 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 23 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 2 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 8 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 30 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 24 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 14 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 27 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 1 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 9 13 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 11 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 16 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 29 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 25 9 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 29 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 9 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 11 1 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 21 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 23 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 23 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 18 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 2 5 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 4 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 9 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 6 10 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 5 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 0 5 31</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 25 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 24 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 8 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 2 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 7 2 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 17 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 25 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 28 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 14 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 4 5 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 16 10 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 21 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 16 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 24 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 16 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 10 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 26 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 20 8 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 1 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 4 3 25</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 28 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 28 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 21 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 18 1 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 21 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 22 7 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 24 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 17 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 3 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 16 6 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 29 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 4 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 0 3 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 11 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 10 12 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 1 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 26 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 11 11 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 11 1 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 30 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 26 8 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 21 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 1 4 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 20 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 6 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 7 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 19 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 6 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 22 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 14 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 21 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 4 1 22</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 4 3 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 17 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 6 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 10 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 30 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 16 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 2 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 20 6 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 8 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 13 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 8 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 17 7 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 6 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 27 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 20 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 21 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 5 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 18 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 6 4 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 23 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 1 1 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 12 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 23 7 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 13 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 9 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 13 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 3 5 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 25 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 23 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 26 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 17 1 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 10 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 14 7 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 11 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 20 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 19 5 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 16 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 28 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 8 8 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 13 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 9 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 20 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 4 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 19 12 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 12 2 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 22 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 10 2 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 2 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 14 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 28 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 23 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 12 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 12 7 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 24 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 5 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 7 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 9 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 21 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 29 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 27 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 18 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 21 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 15 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 27 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 11 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 12 8 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 22 10 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 8 25</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 16 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 5 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 29 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 1 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 21 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 27 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 12 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 20 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 17 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 9 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 1 1 23</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 9 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 30 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 0 2 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 2 1 29</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 8 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 29 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 12 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 13 12 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 22 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 19 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 16 4 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 17 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 14 8 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 28 8 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 16 9 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 29 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 28 11 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 16 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 4 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 29 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 24 6 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 27 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 4 10 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 11 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 20 6 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 28 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 15 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 22 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 26 11 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 0 3 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 21 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 14 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 4 3 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 13 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 15 1 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 16 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 18 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 23 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 9 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 3 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 2 4 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 17 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 25 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 28 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 9 6 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 10 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 17 5 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 11 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 8 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 12 11 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 30 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 0 6 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 12 2 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 16 6 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 25 9 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 4 5 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 7 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 12 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 8 8 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 27 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 27 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 27 13 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 17 3 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 0 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 11 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 28 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 15 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 24 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 8 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 1 4 29</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 8 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 30 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 16 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 13 7 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 22 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 26 7 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 25 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 10 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 11 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 4 6 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 26 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 12 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 16 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 14 3 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 22 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 14 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 10 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 30 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 23 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 25 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 7 1 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 6 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 15 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 0 3 31</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 19 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 9 3 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 15 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 4 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 10 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 9 6 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 16 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 24 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 10 1 21</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 19 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 20 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 28 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 19 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 5 2 21</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 19 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 29 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 22 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 9 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 16 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 2 28</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 26 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 23 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 29 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 3 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 11 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 2 1 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 19 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 26 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 26 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 7 1 24</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 24 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 11 2 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 1 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 13 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 30 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 25 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 9 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 10 3 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 30 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 12 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 4 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 16 3 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 14 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 2 1 27</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 9 3 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 3 19</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 4 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 10 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 2 1 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 18 11 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 26 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 15 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 22 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 10 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 27 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 29 14 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 3 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 25 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 13 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 15 11 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 16 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 27 13 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 23 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 4 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 22 5 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 15 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 24 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 25 9 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 3 2 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 22 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 15 2 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 19 8 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 10 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 16 6 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 11 1 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 15 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 28 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 20 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 12 3 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 1 5 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 15 5 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 1 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 29 10 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 9 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 4 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 15 10 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 8 11 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 22 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 12 1 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 30 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 4 7 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 14 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 10 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 9 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 0 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 25 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 7 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 30 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 11 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 8 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 8 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 3 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 6 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 7 12 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 7 1 21</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 8 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 24 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 18 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 9 8 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 8 3 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 25 9 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 24 5 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 9 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 28 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 17 5 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 2 1 28</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 16 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 1 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 30 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 17 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 20 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 12 5 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 29 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 5 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 14 6 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 24 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 17 14 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 7 5 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 28 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 20 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 4 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 23 4 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 9 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 11 12 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 28 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 4 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 21 6 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 15 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 3 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 9 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 3 8 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 4 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 28 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 20 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 13 7 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 0 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 3 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 11 4 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 29 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 1 6 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 27 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 5 25</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 23 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 2 7 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 10 7 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 30 13 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 4 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 24 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 14 6 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 22 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 15 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 26 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 20 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 24 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 4 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 4 6 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 24 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 28 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 5 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 10 1 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 3 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 7 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 25 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 0 4 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 9 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 21 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 19 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 21 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 11 5 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 17 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 28 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 8 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 26 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 13 6 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 10 2 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 5 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 29 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 21 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 17 1 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 29 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 11 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 30 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 7 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 27 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 2 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 8 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 7 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 0 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 11 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 24 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 19 4 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 21 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 12 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 4 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 15 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 17 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 11 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 0 3 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 25 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 10 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 22 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 5 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 2 1 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 2 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 17 8 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 22 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 30 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 8 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 10 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 30 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 20 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 6 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 13 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 20 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 12 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 17 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 21 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 7 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 30 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 12 8 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 27 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 30 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 9 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 3 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 11 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 30 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 19 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 29 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 24 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 1 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 1 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 2 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 13 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 25 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 23 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 7 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 29 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 19 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 1 1 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 28 14 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 20 9 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 16 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 7 10 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 0 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 7 8 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 28 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 8 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 11 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 9 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 25 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 30 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 25 12 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 24 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 17 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 28 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 20 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 6 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 0 1 31</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 2 2 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 19 4 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 13 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 27 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 9 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 7 4 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 16 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 28 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 28 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 17 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 9 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 14 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 23 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 8 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 20 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 3 6 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 18 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 23 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 21 5 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 28 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 22 1 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 27 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 4 6 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 28 9 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 6 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 20 8 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 21 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 29 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 11 20</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 10 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 16 8 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 20 2 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 19 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 23 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 23 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 20 6 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 8 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 8 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 20 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 2 2 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 5 5 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 17 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 23 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 23 7 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 6 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 20 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 23 10 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 8 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 29 10 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 17 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 16 9 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 20 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 5 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 12 5 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 7 21</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 6 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 24 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 1 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 28 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 12 2 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 3 1 25</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 2 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 7 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 7 25</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 11 1 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 29 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 16 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 7 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 10 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 10 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 6 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 13 2 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 16 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 12 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 10 11 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 23 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 28 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 11 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 6 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 23 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 6 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 28 13 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 25 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 23 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 19 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 14 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 7 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 24 9 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 11 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 11 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 23 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 21 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 11 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 5 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 27 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 6 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 29 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 28 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 15 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 2 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 30 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 10 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 29 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 9 23</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 3 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 20 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 21 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 19 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 1 1 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 2 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 25 7 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 5 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 23 2 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 15 10 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 30 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 29 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 4 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 3 1 28</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 26 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 20 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 19 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 19 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 28 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 20 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 7 4 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 0 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 10 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 4 28</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 28 12 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 22 3 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 8 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 12 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 4 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 26 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 28 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 17 4 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 20 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 14 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 2 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 13 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 3 3 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 8 4 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 9 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 9 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 30 8 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 9 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 10 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 15 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 16 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 15 3 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 28 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 26 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 13 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 14 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 9 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 21 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 25 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 29 13 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 9 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 15 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 16 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 6 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 7 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 4 4 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 8 1 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 5 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 21 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 2 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 20 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 16 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 10 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 5 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 26 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 6 1 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 29 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 21 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 4 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 4 4 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 5 2 25</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 24 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 9 4 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 9 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 9 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 15 9 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 30 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 17 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 17 4 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 10 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 0 7 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 10 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 27 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 0 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 8 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 23 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 5 2 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 10 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 23 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 9 1 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 29 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 3 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 26 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 15 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 30 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 4 7 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 4 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 4 5 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 28 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 0 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 21 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 2 1 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 21 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 17 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 4 2 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 28 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 21 1 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 1 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 24 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 1 1 30</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 16 2 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 11 4 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 15 6 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 6 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 19 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 25 11 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 23 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 3 8 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 11 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 4 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 2 14 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 25 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 18 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 24 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 7 27</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 8 11 22</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 0 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 29 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 24 12 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 10 5 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 7 7 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 10 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 13 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 26 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 23 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 29 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 18 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 19 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 15 6 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 0 6 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 11 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 10 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 4 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 7 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 24 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 9 5 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 21 1 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 1 28</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 20 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 15 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 5 11 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 13 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 28 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 5 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 2 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 7 11 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 17 1 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 4 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 23 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 1 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 15 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 1 1 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 1 6 30</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 1 1 30</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 24 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 1 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 27 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 20 10 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 13 5 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 7 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 15 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 14 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 6 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 6 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 28 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 19 1 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 14 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 5 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 0 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 4 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 29 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 8 9 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 16 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 27 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 26 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 12 2 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 20 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 22 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 30 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 22 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 26 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 12 4 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 10 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 9 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 20 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 22 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 1 4 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 28 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 9 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 18 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 7 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 3 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 7 1 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 22 6 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 30 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 10 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 14 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 0 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 5 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 0 7 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 11 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 10 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 30 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 22 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 2 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 28 15 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 16 7 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 20 7 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 5 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 7 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 26 8 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 20 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 10 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 23 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 21 6 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 10 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 9 4 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 1 4 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 19 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 4 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 9 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 6 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 27 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 25 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 10 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 12 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 15 4 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 20 3 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 20 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 17 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 6 3 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 18 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 0 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 6 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 23 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 12 2 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 23 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 13 5 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 20 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 9 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 26 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 11 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 26 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 12 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 14 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 7 2 21</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 15 4 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 26 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 17 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 0 3 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 22 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 2 7 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 3 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 5 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 29 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 15 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 19 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 8 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 28 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 15 2 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 14 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 19 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 0 4 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 12 7 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 8 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 9 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 9 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 10 5 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 9 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 28 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 27 10 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 29 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 19 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 2 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 25 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 5 3 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 21 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 17 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 30 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 24 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 8 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 9 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 16 4 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 10 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 26 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 9 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 5 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 19 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 9 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 11 5 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 17 7 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 21 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 26 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 1 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 27 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 26 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 29 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 18 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 5 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 3 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 27 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 7 10 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 27 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 11 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 7 1 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 9 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 11 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 25 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 4 2 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 19 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 4 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 4 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 8 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 6 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 18 9 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 12 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 13 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 10 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 28 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 17 14 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 3 1 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 1 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 23 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 29 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 5 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 4 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 28 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 25 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 8 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 12 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 12 1 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 5 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 3 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 6 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 9 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 18 11 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 10 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 8 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 30 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 12 2 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 19 9 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 9 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 21 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 9 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 4 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 26 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 15 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 22 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 22 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 0 7 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 21 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 10 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 6 7 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 20 9 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 5 6 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 28 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 20 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 26 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 15 7 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 3 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 3 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 23 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 2 7 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 14 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 3 5 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 30 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 12 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 26 5 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 19 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 29 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 10 11 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 21 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 28 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 5 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 0 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 29 14 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 22 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 7 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 16 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 3 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 20 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 29 13 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 4 23</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 8 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 22 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 11 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 15 15 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 26 7 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 24 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 23 15 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 9 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 20 9 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 23 7 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 0 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 30 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 5 1 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 2 7 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 16 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 6 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 20 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 27 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 6 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 10 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 18 14 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 14 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 11 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 4 1 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 25 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 12 6 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 23 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 15 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 19 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 25 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 5 4 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 28 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 11 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 1 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 4 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 27 10 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 28 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 17 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 11 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 16 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 11 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 3 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 29 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 18 11 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 1 27</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 11 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 28 9 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 2 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 28 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 5 3 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 17 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 0 1 19</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 28 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 18 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 4 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 21 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 21 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 26 10 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 2 19</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 12 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 20 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 9 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 6 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 12 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 10 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 27 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 10 7 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 30 10 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 25 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 28 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 25 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 20 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 6 6 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 10 1 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 10 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 9 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 21 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 23 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 24 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 6 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 20 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 8 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 6 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 21 7 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 24 11 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 28 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 3 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 10 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 4 5 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 24 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 18 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 5 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 25 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 3 4 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 13 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 0 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 13 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 19 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 20 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 3 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 26 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 12 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 8 5 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 8 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 7 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 9 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 11 11 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 2 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 5 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 12 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 1 2 25</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 18 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 27 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 17 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 18 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 16 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 23 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 8 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 12 12 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 18 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 2 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 11 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 25 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 2 3 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 19 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 22 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 9 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 11 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 24 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 27 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 8 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 22 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 20 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 4 2 26</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 15 19</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 25 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 19 4 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 14 8 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 25 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 29 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 27 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 27 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 4 7 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 11 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 17 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 8 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 26 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 7 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 0 1 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 14 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 13 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 26 8 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 17 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 11 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 16 6 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 22 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 29 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 22 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 26 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 1 7 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 29 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 9 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 28 14 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 8 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 9 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 30 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 30 11 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 12 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 13 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 4 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 19 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 1 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 19 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 13 27</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 9 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 4 6 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 24 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 17 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 14 7 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 2 1 25</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 4 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 8 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 18 13 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 30 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 28 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 1 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 22 5 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 25 6 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 26 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 1 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 7 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 28 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 24 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 29 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 13 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 9 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 17 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 5 1 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 12 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 3 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 26 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 10 5 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 27 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 9 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 21 6 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 18 9 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 24 10 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 23 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 3 1 28</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 20 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 25 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 10 21</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 11 6 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 14 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 25 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 27 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 15 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 13 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 22 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 6 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 17 6 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 28 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 10 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 25 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 3 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 2 25</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 30 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 21 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 5 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 29 10 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 23 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 11 4 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 22 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 26 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 23 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 25 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 29 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 2 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 26 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 3 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 12 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 30 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 26 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 4 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 28 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 3 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 4 1 10</rect></_></features></_>
-    <_>
-      <scale>1</scale>
-      <weaks>1024</weaks>
-      <trees>
-        <_>
-          <treeThreshold>-9.1824179887771606e-01</treeThreshold>
-          <internalNodes>
-            1 2 0 2.3365000000000000e+03 0 -1 1 8.3500000000000000e+01
-            -2 -3 2 2.9050000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9275911152362823e-01 -9.1824179887771606e-01
-            7.1353024244308472e-01 -4.2490604519844055e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.3566842079162598e+00</treeThreshold>
-          <internalNodes>
-            1 2 3 4.5500000000000000e+01 0 -1 4 5.6350000000000000e+02
-            -2 -3 5 1.5150000000000000e+02</internalNodes>
-          <leafValues>
-            -5.7629632949829102e-01 -9.8518949747085571e-01
-            5.2551275491714478e-01 -4.3844240903854370e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.6601251363754272e+00</treeThreshold>
-          <internalNodes>
-            1 2 6 1.6500000000000000e+01 0 -1 7 1.3417500000000000e+04
-            -2 -3 8 3.2850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.4283974468708038e-01 -7.6407837867736816e-01
-            6.7369973659515381e-01 -3.0344095826148987e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.7210527658462524e+00</treeThreshold>
-          <internalNodes>
-            1 2 9 8.3500000000000000e+01 0 -1 10 5.7950000000000000e+02
-            -2 -3 11 5.2165000000000000e+03</internalNodes>
-          <leafValues>
-            2.7889367938041687e-01 -7.9177212715148926e-01
-            -5.5426341295242310e-01 4.3222227692604065e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.8265457153320312e+00</treeThreshold>
-          <internalNodes>
-            1 2 12 1.0500000000000000e+01 0 -1 13 2.2500000000000000e+01
-            -2 -3 14 2.4415000000000000e+03</internalNodes>
-          <leafValues>
-            -4.9315950274467468e-01 5.7787740230560303e-01
-            -5.9864276647567749e-01 1.2489826977252960e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.6793980598449707e+00</treeThreshold>
-          <internalNodes>
-            1 2 15 1.8205000000000000e+03 0 -1 16 2.2445000000000000e+03
-            -2 -3 17 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1089431140571833e-03 8.0035644769668579e-01
-            9.4315350055694580e-02 -5.7833504676818848e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.5442515611648560e+00</treeThreshold>
-          <internalNodes>
-            1 2 18 3.4500000000000000e+01 0 -1 19 4293. -2 -3 20
-            1.5545000000000000e+03</internalNodes>
-          <leafValues>
-            -6.1589881777763367e-02 -9.2765086889266968e-01
-            2.9719692468643188e-01 -6.1971640586853027e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.8196758031845093e+00</treeThreshold>
-          <internalNodes>
-            1 2 21 1.1500000000000000e+01 0 -1 22 2.1500000000000000e+01
-            -2 -3 23 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4309207797050476e-01 4.5466747879981995e-01
-            -6.7477458715438843e-01 -2.8885286301374435e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.6610682010650635e+00</treeThreshold>
-          <internalNodes>
-            1 2 24 5.0950000000000000e+02 0 -1 25 27777. -2 -3 26
-            2.4715000000000000e+03</internalNodes>
-          <leafValues>
-            5.2616196870803833e-01 -4.0959128737449646e-01
-            5.7547372579574585e-01 -3.0137240886688232e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.5959914922714233e+00</treeThreshold>
-          <internalNodes>
-            1 2 27 5.0000000000000000e-01 0 -1 28 2.5000000000000000e+00
-            -2 -3 29 1.7450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2784364223480225e-01 4.9311363697052002e-01
-            -6.9787085056304932e-01 -1.9121825695037842e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.1109679937362671e+00</treeThreshold>
-          <internalNodes>
-            1 2 30 1.7500000000000000e+01 0 -1 31 1.0500000000000000e+01
-            -2 -3 32 1.6835000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9948041439056396e-01 4.8122453689575195e-01
-            -3.8041490316390991e-01 7.8814607858657837e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.3001022338867188e+00</treeThreshold>
-          <internalNodes>
-            1 2 33 5.5000000000000000e+00 0 -1 34 1.4500000000000000e+01
-            -2 -3 35 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2981390953063965e-01 4.1833153367042542e-01
-            -5.5634695291519165e-01 2.0092706382274628e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.2552416324615479e+00</treeThreshold>
-          <internalNodes>
-            1 2 36 1.5000000000000000e+00 0 -1 37 6.0500000000000000e+01
-            -2 -3 38 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.3229536414146423e-01 4.8632022738456726e-01
-            1.0821102559566498e-01 -5.4847836494445801e-01</leafValues></_>
-        <_>
-          <treeThreshold>-9.5746147632598877e-01</treeThreshold>
-          <internalNodes>
-            1 2 39 5.0000000000000000e-01 0 -1 40 5.5000000000000000e+00
-            -2 -3 41 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.0162736177444458e-01 3.7442612648010254e-01
-            -1.9469287246465683e-02 -6.7447566986083984e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.0001801252365112e-01</treeThreshold>
-          <internalNodes>
-            1 2 42 3.7500000000000000e+01 0 -1 43 3.1595000000000000e+03
-            -2 -3 44 1.2465000000000000e+03</internalNodes>
-          <leafValues>
-            1.6209787130355835e-01 -9.0783798694610596e-01
-            2.1256938576698303e-01 -7.1468418836593628e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.2121976613998413e+00</treeThreshold>
-          <internalNodes>
-            1 2 45 5.2500000000000000e+01 0 -1 46 5.0000000000000000e-01
-            -2 -3 47 7606.</internalNodes>
-          <leafValues>
-            3.2595899701118469e-01 -4.1217961907386780e-01
-            -1.9886784255504608e-01 7.2802597284317017e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.0095448493957520e+00</treeThreshold>
-          <internalNodes>
-            1 2 48 1.2645000000000000e+03 0 -1 49 1.3995000000000000e+03
-            -2 -3 50 17217.</internalNodes>
-          <leafValues>
-            1.4752689003944397e-01 -4.5374435186386108e-01
-            7.4328523874282837e-01 -3.0514815449714661e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.2125085592269897e-01</treeThreshold>
-          <internalNodes>
-            1 2 51 1.2450000000000000e+02 0 -1 52 4.5000000000000000e+00
-            -2 -3 53 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2579865455627441e-01 1.8829397857189178e-01
-            6.2581911683082581e-02 -9.3276327848434448e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.5726839303970337e-01</treeThreshold>
-          <internalNodes>
-            1 2 54 1.2500000000000000e+01 0 -1 55 3.5000000000000000e+00
-            -2 -3 56 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3079727888107300e-01 5.4834127426147461e-01
-            -7.4245822429656982e-01 -3.6017529666423798e-02</leafValues></_>
-        <_>
-          <treeThreshold>-3.7141740322113037e-01</treeThreshold>
-          <internalNodes>
-            1 2 57 2.5000000000000000e+00 0 -1 58 9.0500000000000000e+01
-            -2 -3 59 1.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -2.6328250765800476e-01 4.8585096001625061e-01
-            -4.2119786143302917e-01 3.4775453805923462e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.9893672466278076e-01</treeThreshold>
-          <internalNodes>
-            1 2 60 1.8150000000000000e+02 0 -1 61 1.6500000000000000e+01
-            -2 -3 62 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9467984437942505e-01 -2.8166392445564270e-01
-            -6.6281062364578247e-01 1.6430251300334930e-02</leafValues></_>
-        <_>
-          <treeThreshold>-5.2570968866348267e-01</treeThreshold>
-          <internalNodes>
-            1 2 63 2.8935000000000000e+03 0 -1 64 7.5000000000000000e+00
-            -2 -3 65 10970.</internalNodes>
-          <leafValues>
-            2.7466580271720886e-01 -8.6028146743774414e-01
-            3.1712412834167480e-01 -2.8514662384986877e-01</leafValues></_>
-        <_>
-          <treeThreshold>-3.3981230854988098e-01</treeThreshold>
-          <internalNodes>
-            1 2 66 4.3500000000000000e+01 0 -1 67 5.0500000000000000e+01
-            -2 -3 68 1.2950000000000000e+02</internalNodes>
-          <leafValues>
-            1.5071904659271240e-01 -6.7942529916763306e-01
-            3.4536096453666687e-01 -5.4448747634887695e-01</leafValues></_>
-        <_>
-          <treeThreshold>-3.2909783720970154e-01</treeThreshold>
-          <internalNodes>
-            1 2 69 4.0500000000000000e+01 0 -1 70 9.8750000000000000e+02
-            -2 -3 71 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.0841991528868675e-02 -6.2886476516723633e-01
-            7.4424326419830322e-01 9.9408831447362900e-03</leafValues></_>
-        <_>
-          <treeThreshold>-6.2298193573951721e-02</treeThreshold>
-          <internalNodes>
-            1 2 72 4.6085000000000000e+03 0 -1 73 3.8500000000000000e+01
-            -2 -3 74 5.7850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.5020188093185425e-01 5.4516482353210449e-01
-            5.7250261306762695e-01 -9.2801190912723541e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.5894679725170135e-01</treeThreshold>
-          <internalNodes>
-            1 2 75 5.0000000000000000e-01 0 -1 76 1.5000000000000000e+00
-            -2 -3 77 2.5750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4547845125198364e-01 4.9561309814453125e-01
-            5.8993577957153320e-01 -3.1674036383628845e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0653568506240845e-01</treeThreshold>
-          <internalNodes>
-            1 2 78 2.5335000000000000e+03 0 -1 79 2.4500000000000000e+01
-            -2 -3 80 8.9905000000000000e+03</internalNodes>
-          <leafValues>
-            2.6614660024642944e-01 -3.2352310419082642e-01
-            6.4184278249740601e-01 -3.7356415390968323e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.8076049163937569e-03</treeThreshold>
-          <internalNodes>
-            1 2 81 5.0000000000000000e-01 0 -1 82 1.2500000000000000e+01
-            -2 -3 83 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9844339489936829e-01 4.9451184272766113e-01
-            -5.1162499189376831e-01 1.4680899679660797e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9161420464515686e-01</treeThreshold>
-          <internalNodes>
-            1 2 84 1.3500000000000000e+01 0 -1 85 1.2500000000000000e+01
-            -2 -3 86 1.5115000000000000e+03</internalNodes>
-          <leafValues>
-            -7.0512425899505615e-01 4.7449973225593567e-01
-            -4.5257037878036499e-01 1.9849643111228943e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6676848530769348e-01</treeThreshold>
-          <internalNodes>
-            1 2 87 5.0500000000000000e+01 0 -1 88 6.5500000000000000e+01
-            -2 -3 89 1.4650000000000000e+02</internalNodes>
-          <leafValues>
-            -2.0592364668846130e-01 3.0830872058868408e-01
-            -8.7131351232528687e-01 8.3726328611373901e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9189073145389557e-01</treeThreshold>
-          <internalNodes>
-            1 2 90 3.6050000000000000e+02 0 -1 91 1.0350000000000000e+02
-            -2 -3 92 7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2260921597480774e-02 5.0565969944000244e-01
-            -9.1390937566757202e-01 -1.8902081251144409e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3643327951431274e-01</treeThreshold>
-          <internalNodes>
-            1 2 93 2.0500000000000000e+01 0 -1 94 4.4500000000000000e+01
-            -2 -3 95 7.3785000000000000e+03</internalNodes>
-          <leafValues>
-            -8.0922812223434448e-01 3.4454253315925598e-01
-            -1.5407036058604717e-02 -7.4269419908523560e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3825522065162659e-01</treeThreshold>
-          <internalNodes>
-            1 2 96 1.0224500000000000e+04 0 -1 97 4.5000000000000000e+00
-            -2 -3 98 4.0035000000000000e+03</internalNodes>
-          <leafValues>
-            2.9326722025871277e-01 -3.9492443203926086e-01
-            6.2416630983352661e-01 -1.4834968745708466e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0073168277740479e-01</treeThreshold>
-          <internalNodes>
-            1 2 99 2.5000000000000000e+00 0 -1 100
-            3.8395000000000000e+03 -2 -3 101 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.1362767219543457e-01 -5.9424567967653275e-02
-            -6.8450838327407837e-01 2.6574308052659035e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0332926511764526e+00</treeThreshold>
-          <internalNodes>
-            1 2 102 5.4500000000000000e+01 0 -1 103
-            5.0000000000000000e-01 -2 -3 104 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.4594553411006927e-01 -8.0310869216918945e-01
-            4.9081337451934814e-01 -1.0566046833992004e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2107890844345093e+00</treeThreshold>
-          <internalNodes>
-            1 2 105 2.5000000000000000e+00 0 -1 106 608. -2 -3 107
-            1.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9540244340896606e-01 8.6690729856491089e-01
-            1.7749644815921783e-01 -8.1727051734924316e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1315129995346069e+00</treeThreshold>
-          <internalNodes>
-            1 2 108 1.0450000000000000e+02 0 -1 109 106. -2 -3 110
-            4.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -4.4595441222190857e-01 4.8524639010429382e-01
-            3.8998365402221680e-01 -4.3752849102020264e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3212180137634277e+00</treeThreshold>
-          <internalNodes>
-            1 2 111 5.0000000000000000e-01 0 -1 112
-            3.1500000000000000e+01 -2 -3 113 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.6347488164901733e-01 6.1377680301666260e-01
-            3.2435289025306702e-01 -3.2852920889854431e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5280661582946777e+00</treeThreshold>
-          <internalNodes>
-            1 2 114 31599. 0 -1 115 8.7950000000000000e+02 -2 -3 116
-            1.4950000000000000e+02</internalNodes>
-          <leafValues>
-            -4.4413706660270691e-01 2.0684811472892761e-01
-            -9.2896610498428345e-01 7.2677606344223022e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3401062488555908e+00</treeThreshold>
-          <internalNodes>
-            1 2 117 4.5000000000000000e+00 0 -1 118
-            5.0000000000000000e-01 -2 -3 119 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9902228116989136e-01 7.3140519857406616e-01
-            2.5528132915496826e-01 -3.2260772585868835e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5880639553070068e+00</treeThreshold>
-          <internalNodes>
-            1 2 120 2.3500000000000000e+01 0 -1 121
-            2.3415000000000000e+03 -2 -3 122 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2909480333328247e-01 -6.7116706632077694e-03
-            -8.0022460222244263e-01 3.6795264482498169e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7455346584320068e+00</treeThreshold>
-          <internalNodes>
-            1 2 123 1.9715000000000000e+03 0 -1 124
-            4.5635000000000000e+03 -2 -3 125 4.4850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1536699533462524e-01 3.9649611711502075e-01
-            -5.3931379318237305e-01 1.9903500378131866e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4469091892242432e+00</treeThreshold>
-          <internalNodes>
-            1 2 126 9.5000000000000000e+00 0 -1 127
-            1.0219500000000000e+04 -2 -3 128 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            6.1238449811935425e-01 -1.6160279512405396e-01
-            -5.3765082359313965e-01 2.1599884331226349e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6631983518600464e+00</treeThreshold>
-          <internalNodes>
-            1 2 129 1.3050000000000000e+02 0 -1 130
-            1.2500000000000000e+01 -2 -3 131 48.</internalNodes>
-          <leafValues>
-            -6.8314427137374878e-01 2.1628913283348083e-01
-            7.3021888732910156e-01 -8.3048707246780396e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3611874580383301e+00</treeThreshold>
-          <internalNodes>
-            1 2 132 5691. 0 -1 133 1.4550000000000000e+02 -2 -3 134
-            6621.</internalNodes>
-          <leafValues>
-            6.3320666551589966e-02 -5.2526509761810303e-01
-            9.5597380399703979e-01 -8.6907690763473511e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6279634237289429e+00</treeThreshold>
-          <internalNodes>
-            1 2 135 2.3500000000000000e+01 0 -1 136
-            2.5000000000000000e+00 -2 -3 137 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9147856831550598e-01 -8.5339552164077759e-01
-            2.6677599549293518e-01 -3.8106775283813477e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0351922512054443e+00</treeThreshold>
-          <internalNodes>
-            1 2 138 4.9500000000000000e+01 0 -1 139
-            1.8500000000000000e+01 -2 -3 140 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.8707169294357300e-01 -5.0664901733398438e-01
-            5.0869596004486084e-01 -1.1930328607559204e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1048190593719482e+00</treeThreshold>
-          <internalNodes>
-            1 2 141 6.5000000000000000e+00 0 -1 142
-            2.0500000000000000e+01 -2 -3 143 2.8945000000000000e+03</internalNodes>
-          <leafValues>
-            2.2332985699176788e-01 -6.0333216190338135e-01
-            3.1961753964424133e-01 -4.8080846667289734e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5272200107574463e+00</treeThreshold>
-          <internalNodes>
-            1 2 144 1.2755000000000000e+03 0 -1 145
-            1.6450000000000000e+02 -2 -3 146 33.</internalNodes>
-          <leafValues>
-            8.7598457932472229e-02 -4.3963542580604553e-01
-            -8.7583345174789429e-01 6.2399446964263916e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3983705043792725e+00</treeThreshold>
-          <internalNodes>
-            1 2 147 5.5000000000000000e+00 0 -1 148
-            1.2500000000000000e+01 -2 -3 149 3.2715000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9637626409530640e-01 3.5001280903816223e-01
-            -6.8439531326293945e-01 5.0571694970130920e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1697113513946533e+00</treeThreshold>
-          <internalNodes>
-            1 2 150 666. 0 -1 151 1.0675000000000000e+03 -2 -3 152
-            1.0650000000000000e+02</internalNodes>
-          <leafValues>
-            -2.1497508883476257e-01 7.4145573377609253e-01
-            -4.1339716315269470e-01 1.7802318930625916e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3894040584564209e+00</treeThreshold>
-          <internalNodes>
-            1 2 153 1.5000000000000000e+00 0 -1 154
-            4.2500000000000000e+01 -2 -3 155 1.0950000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8204550743103027e-01 3.3967906236648560e-01
-            -9.1087028384208679e-02 -8.9394873380661011e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2878415584564209e+00</treeThreshold>
-          <internalNodes>
-            1 2 156 6.4500000000000000e+01 0 -1 157 11. -2 -3 158
-            4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            7.8926539421081543e-01 -8.1914222240447998e-01
-            5.7366627454757690e-01 -1.0156247764825821e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4907975196838379e+00</treeThreshold>
-          <internalNodes>
-            1 2 159 5.8650000000000000e+02 0 -1 160
-            1.7625000000000000e+03 -2 -3 161 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.2814042568206787e-01 2.0295590162277222e-01
-            4.9193066358566284e-01 -8.6553698778152466e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8328115940093994e+00</treeThreshold>
-          <internalNodes>
-            1 2 162 1.1500000000000000e+01 0 -1 163
-            1.5045000000000000e+03 -2 -3 164 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.6902194023132324e-01 -3.8489398360252380e-01
-            5.4847592115402222e-01 -9.3145422637462616e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9363400936126709e+00</treeThreshold>
-          <internalNodes>
-            1 2 165 1.5500000000000000e+01 0 -1 166
-            1.2500000000000000e+01 -2 -3 167 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            9.5472264289855957e-01 -9.1838270425796509e-01
-            -1.0293316841125488e-01 4.3570974469184875e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8884809017181396e+00</treeThreshold>
-          <internalNodes>
-            1 2 168 5.5000000000000000e+00 0 -1 169
-            3.2250000000000000e+02 -2 -3 170 3.3305000000000000e+03</internalNodes>
-          <leafValues>
-            5.2823734283447266e-01 -6.2273854017257690e-01
-            2.4218171834945679e-01 -3.8004037737846375e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2581679821014404e+00</treeThreshold>
-          <internalNodes>
-            1 2 171 1.1585000000000000e+03 0 -1 172
-            2.0525000000000000e+03 -2 -3 173 6.6950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3419857025146484e-01 5.7153469324111938e-01
-            7.6942658424377441e-01 -4.6774842776358128e-03</leafValues></_>
-        <_>
-          <treeThreshold>3.2552568912506104e+00</treeThreshold>
-          <internalNodes>
-            1 2 174 4.7500000000000000e+01 0 -1 175
-            5.0000000000000000e-01 -2 -3 176 1.5550000000000000e+02</internalNodes>
-          <leafValues>
-            1.8964821100234985e-01 -5.6353724002838135e-01
-            -6.1556345224380493e-01 3.0847749114036560e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1983842849731445e+00</treeThreshold>
-          <internalNodes>
-            1 2 177 4.3150000000000000e+02 0 -1 178
-            5.8500000000000000e+01 -2 -3 179 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.6872483342885971e-02 5.8359992504119873e-01
-            4.7400984168052673e-01 -7.4053239822387695e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4817969799041748e+00</treeThreshold>
-          <internalNodes>
-            1 2 180 9.5000000000000000e+00 0 -1 181 25. -2 -3 182
-            6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4430248737335205e-01 3.9208996295928955e-01
-            -4.2771559953689575e-01 3.0624631047248840e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0476233959197998e+00</treeThreshold>
-          <internalNodes>
-            1 2 183 2.5000000000000000e+00 0 -1 184
-            1.3250000000000000e+02 -2 -3 185 3.4150000000000000e+02</internalNodes>
-          <leafValues>
-            5.3614073991775513e-01 -5.6767416000366211e-01
-            -3.0754956603050232e-01 8.0505007505416870e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4105541706085205e+00</treeThreshold>
-          <internalNodes>
-            1 2 186 5.8500000000000000e+01 0 -1 187
-            5.2250000000000000e+02 -2 -3 188 8.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9508250355720520e-01 2.8085133433341980e-01
-            6.1845648288726807e-01 -2.1672628819942474e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4716253280639648e+00</treeThreshold>
-          <internalNodes>
-            1 2 189 3238. 0 -1 190 7.6925000000000000e+03 -2 -3 191
-            1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            5.7400876283645630e-01 -6.7538954317569733e-02
-            -8.3562213182449341e-01 6.1071071773767471e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3441829681396484e+00</treeThreshold>
-          <internalNodes>
-            1 2 192 1.3500000000000000e+01 0 -1 193
-            1.3500000000000000e+01 -2 -3 194 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.8424683809280396e-01 5.4655539989471436e-01
-            4.5958670973777771e-01 -1.2744228541851044e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2567305564880371e+00</treeThreshold>
-          <internalNodes>
-            1 2 195 4.5050000000000000e+02 0 -1 196
-            7.5000000000000000e+00 -2 -3 197 102.</internalNodes>
-          <leafValues>
-            2.0710256695747375e-01 -4.7517296671867371e-01
-            -2.6671493053436279e-01 5.8150058984756470e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5595970153808594e+00</treeThreshold>
-          <internalNodes>
-            1 2 198 1.5500000000000000e+01 0 -1 199
-            1.6405000000000000e+03 -2 -3 200 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.0164546966552734e-01 3.0286654829978943e-01
-            2.1122010052204132e-01 -5.7218044996261597e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7392544746398926e+00</treeThreshold>
-          <internalNodes>
-            1 2 201 6.5000000000000000e+00 0 -1 202
-            3.5000000000000000e+00 -2 -3 203 1.6450000000000000e+02</internalNodes>
-          <leafValues>
-            2.2506394982337952e-01 -8.6310726404190063e-01
-            1.7965751886367798e-01 -6.9324779510498047e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7078585624694824e+00</treeThreshold>
-          <internalNodes>
-            1 2 204 8.1450000000000000e+02 0 -1 205 1890. -2 -3 206
-            8.1750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2595106959342957e-01 8.0182307958602905e-01
-            6.8428695201873779e-01 -2.1671128273010254e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0834798812866211e+00</treeThreshold>
-          <internalNodes>
-            1 2 207 7524. 0 -1 208 29059. -2 -3 209
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.4072461128234863e-02 6.2213033437728882e-01
-            4.1094872355461121e-01 -3.1383806467056274e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9115695953369141e+00</treeThreshold>
-          <internalNodes>
-            1 2 210 1.8500000000000000e+01 0 -1 211 387. -2 -3 212
-            2.3750000000000000e+02</internalNodes>
-          <leafValues>
-            4.2355090379714966e-01 -8.8622373342514038e-01
-            2.1309094130992889e-01 -5.3503811359405518e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2166790962219238e+00</treeThreshold>
-          <internalNodes>
-            1 2 213 5.3500000000000000e+01 0 -1 214 1081. -2 -3 215
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.1005847454071045e-01 -9.5809775590896606e-01
-            3.0510938167572021e-01 -2.3649103939533234e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2742543220520020e+00</treeThreshold>
-          <internalNodes>
-            1 2 216 5.0000000000000000e-01 0 -1 217
-            3.5000000000000000e+00 -2 -3 218 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7842203378677368e-01 6.1577528715133667e-01
-            -6.2877601385116577e-01 5.7575210928916931e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5262427330017090e+00</treeThreshold>
-          <internalNodes>
-            1 2 219 2.3500000000000000e+01 0 -1 220
-            6.5500000000000000e+01 -2 -3 221 7200.</internalNodes>
-          <leafValues>
-            -1.2643574178218842e-01 4.4764062762260437e-01
-            8.0391228199005127e-01 -5.6298023462295532e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3622655868530273e+00</treeThreshold>
-          <internalNodes>
-            1 2 222 5.0000000000000000e-01 0 -1 223
-            5.0000000000000000e-01 -2 -3 224 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.9282239675521851e-01 5.0668609142303467e-01
-            2.8447443246841431e-01 -3.2788425683975220e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3866205215454102e+00</treeThreshold>
-          <internalNodes>
-            1 2 225 1.8500000000000000e+01 0 -1 226
-            3.0500000000000000e+01 -2 -3 227 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6534422338008881e-01 -6.7988771200180054e-01
-            5.8741343021392822e-01 -7.3899636045098305e-03</leafValues></_>
-        <_>
-          <treeThreshold>4.6229195594787598e+00</treeThreshold>
-          <internalNodes>
-            1 2 228 3.5500000000000000e+01 0 -1 229
-            2.4250000000000000e+02 -2 -3 230 1.4995000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7123320102691650e-01 4.3727341294288635e-01
-            6.2667381763458252e-01 -8.1948131322860718e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4684619903564453e+00</treeThreshold>
-          <internalNodes>
-            1 2 231 1.3050000000000000e+02 0 -1 232
-            7.4500000000000000e+01 -2 -3 233 3.4250000000000000e+02</internalNodes>
-          <leafValues>
-            4.2552286386489868e-01 -6.8802464008331299e-01
-            -3.5543212294578552e-01 8.2571202516555786e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7353043556213379e+00</treeThreshold>
-          <internalNodes>
-            1 2 234 2.4500000000000000e+01 0 -1 235
-            5.2500000000000000e+01 -2 -3 236 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4997267723083496e-01 -9.4012928009033203e-01
-            -3.1085640192031860e-01 2.6684227585792542e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1284918785095215e+00</treeThreshold>
-          <internalNodes>
-            1 2 237 1.5000000000000000e+00 0 -1 238 246. -2 -3 239
-            5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.4119525253772736e-01 8.4309184551239014e-01
-            8.1866653636097908e-03 -5.9627658128738403e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2100868225097656e+00</treeThreshold>
-          <internalNodes>
-            1 2 240 1.2225000000000000e+03 0 -1 241 8510. -2 -3 242
-            4.1076500000000000e+04</internalNodes>
-          <leafValues>
-            -3.3349204063415527e-01 4.1161355376243591e-01
-            4.6106973290443420e-01 -8.5954028367996216e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1655635833740234e+00</treeThreshold>
-          <internalNodes>
-            1 2 243 1.4225500000000000e+04 0 -1 244
-            5.6765000000000000e+03 -2 -3 245 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4523153454065323e-02 6.2628918886184692e-01
-            2.0545418560504913e-01 -5.4939305782318115e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3291592597961426e+00</treeThreshold>
-          <internalNodes>
-            1 2 246 4.5000000000000000e+00 0 -1 247 5. -2 -3 248
-            4.5035000000000000e+03</internalNodes>
-          <leafValues>
-            -8.5104453563690186e-01 7.7873927354812622e-01
-            -8.5507243871688843e-01 -6.3659679144620895e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.4979724884033203e+00</treeThreshold>
-          <internalNodes>
-            1 2 249 7.7350000000000000e+02 0 -1 250
-            5.0745000000000000e+03 -2 -3 251 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.5453670620918274e-01 -6.6669577360153198e-01
-            1.7272062599658966e-01 -4.8215919733047485e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1418399810791016e+00</treeThreshold>
-          <internalNodes>
-            1 2 252 3.3500000000000000e+01 0 -1 253
-            4.8500000000000000e+01 -2 -3 254 1.1625000000000000e+03</internalNodes>
-          <leafValues>
-            5.2197024226188660e-02 -8.2986247539520264e-01
-            -4.2942497134208679e-01 2.6862683892250061e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3069186210632324e+00</treeThreshold>
-          <internalNodes>
-            1 2 255 7.3500000000000000e+01 0 -1 256
-            6.5000000000000000e+00 -2 -3 257 293.</internalNodes>
-          <leafValues>
-            -8.3037430047988892e-01 1.6507858037948608e-01
-            -8.6482697725296021e-01 5.6237572431564331e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8320169448852539e+00</treeThreshold>
-          <internalNodes>
-            1 2 258 5.2500000000000000e+01 0 -1 259
-            5.0000000000000000e-01 -2 -3 260 483.</internalNodes>
-          <leafValues>
-            4.2582702636718750e-01 -3.5350418090820312e-01
-            5.2509862184524536e-01 -8.3165860176086426e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4062981605529785e+00</treeThreshold>
-          <internalNodes>
-            1 2 261 7.2850000000000000e+02 0 -1 262 27703. -2 -3 263
-            1.1950000000000000e+02</internalNodes>
-          <leafValues>
-            6.5644961595535278e-01 -9.5847475528717041e-01
-            2.1147368848323822e-01 -4.5759904384613037e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3856034278869629e+00</treeThreshold>
-          <internalNodes>
-            1 2 264 2.1500000000000000e+01 0 -1 265
-            1.6105000000000000e+03 -2 -3 266 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.0694794133305550e-02 -7.2058790922164917e-01
-            7.0882946252822876e-01 -9.4017720222473145e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3594450950622559e+00</treeThreshold>
-          <internalNodes>
-            1 2 267 1.9500000000000000e+01 0 -1 268
-            1.5500000000000000e+01 -2 -3 269 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.6942609548568726e-01 -4.7919079661369324e-01
-            5.4369747638702393e-01 -2.6158468797802925e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5568313598632812e+00</treeThreshold>
-          <internalNodes>
-            1 2 270 3.8500000000000000e+01 0 -1 271 5311. -2 -3 272
-            1.0750000000000000e+02</internalNodes>
-          <leafValues>
-            2.8408360481262207e-01 -9.0222167968750000e-01
-            1.9738645851612091e-01 -5.9748172760009766e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0750946998596191e+00</treeThreshold>
-          <internalNodes>
-            1 2 273 3654. 0 -1 274 5.0000000000000000e-01 -2 -3 275 180.</internalNodes>
-          <leafValues>
-            1.3075743615627289e-01 -4.2956027388572693e-01
-            -7.0136785507202148e-01 6.2402111291885376e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0776939392089844e+00</treeThreshold>
-          <internalNodes>
-            1 2 276 2.5000000000000000e+00 0 -1 277
-            1.3500000000000000e+01 -2 -3 278 1.1750000000000000e+02</internalNodes>
-          <leafValues>
-            -9.0228682756423950e-01 1. 1.6657561063766479e-01
-            -6.4917582273483276e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0489621162414551e+00</treeThreshold>
-          <internalNodes>
-            1 2 279 1.2455000000000000e+03 0 -1 280
-            3.2550000000000000e+02 -2 -3 281 9.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -2.8672853112220764e-01 6.7820680141448975e-01
-            6.3100266456604004e-01 -2.2533583641052246e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3533391952514648e+00</treeThreshold>
-          <internalNodes>
-            1 2 282 1.8769500000000000e+04 0 -1 283
-            7.5450000000000000e+02 -2 -3 284 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3246711492538452e-01 4.0920761227607727e-01
-            9.1864340007305145e-02 -5.1933372020721436e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3807511329650879e+00</treeThreshold>
-          <internalNodes>
-            1 2 285 4.9950000000000000e+02 0 -1 286
-            7.5000000000000000e+00 -2 -3 287 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5379750132560730e-01 -9.2118155956268311e-01
-            -5.7641644030809402e-02 5.3151047229766846e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4591631889343262e+00</treeThreshold>
-          <internalNodes>
-            1 2 288 2.5500000000000000e+01 0 -1 289
-            1.1500000000000000e+01 -2 -3 290 1.7405000000000000e+03</internalNodes>
-          <leafValues>
-            -9.0133595466613770e-01 2.3147261142730713e-01
-            -5.1077365875244141e-01 7.7433860301971436e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7583456039428711e+00</treeThreshold>
-          <internalNodes>
-            1 2 291 5.0000000000000000e-01 0 -1 292
-            3.6500000000000000e+01 -2 -3 293 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.6842520236968994e-01 7.2404229640960693e-01
-            4.3139779567718506e-01 -3.6949115991592407e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6043167114257812e+00</treeThreshold>
-          <internalNodes>
-            1 2 294 1.0500000000000000e+01 0 -1 295
-            2.5500000000000000e+01 -2 -3 296 1.0750000000000000e+02</internalNodes>
-          <leafValues>
-            6.2449771165847778e-01 -6.7510235309600830e-01
-            3.5289931297302246e-01 -1.5402862429618835e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4769744873046875e+00</treeThreshold>
-          <internalNodes>
-            1 2 297 1.6750000000000000e+02 0 -1 298
-            3.4500000000000000e+01 -2 -3 299 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1882825195789337e-01 -6.5167319774627686e-01
-            -7.6285523176193237e-01 3.4674841165542603e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6450757980346680e+00</treeThreshold>
-          <internalNodes>
-            1 2 300 8.5000000000000000e+00 0 -1 301
-            1.3500000000000000e+01 -2 -3 302 116.</internalNodes>
-          <leafValues>
-            -5.9631282091140747e-01 2.7127423882484436e-01
-            -5.6467700004577637e-01 3.7385278940200806e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8429255485534668e+00</treeThreshold>
-          <internalNodes>
-            1 2 303 5.5500000000000000e+01 0 -1 304
-            3.5000000000000000e+00 -2 -3 305 3.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3910179138183594e-01 4.3193608522415161e-01
-            -3.7392577528953552e-01 6.6540867090225220e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0322842597961426e+00</treeThreshold>
-          <internalNodes>
-            1 2 306 6.3500000000000000e+01 0 -1 307
-            2.0845000000000000e+03 -2 -3 308 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9658832848072052e-02 -8.6379587650299072e-01
-            4.7707024216651917e-01 -1.4790077507495880e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9630532264709473e+00</treeThreshold>
-          <internalNodes>
-            1 2 309 1.6150000000000000e+02 0 -1 310 29256. -2 -3 311
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2682120800018311e-01 4.9407878518104553e-01
-            5.2456849813461304e-01 -6.9230861961841583e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9075293540954590e+00</treeThreshold>
-          <internalNodes>
-            1 2 312 5.0000000000000000e-01 0 -1 313
-            8.5000000000000000e+00 -2 -3 314 8.4975000000000000e+03</internalNodes>
-          <leafValues>
-            -7.3926454782485962e-01 4.6552142500877380e-01
-            5.8614385128021240e-01 -3.0694326758384705e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0862822532653809e+00</treeThreshold>
-          <internalNodes>
-            1 2 315 8.2550000000000000e+02 0 -1 316
-            4.6500000000000000e+01 -2 -3 317 5.0695000000000000e+03</internalNodes>
-          <leafValues>
-            -2.9908904433250427e-01 5.3665381669998169e-01
-            6.0632449388504028e-01 -4.8383909463882446e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3064808845520020e+00</treeThreshold>
-          <internalNodes>
-            1 2 318 1.2500000000000000e+01 0 -1 319
-            4.7350000000000000e+02 -2 -3 320 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.4890976250171661e-01 5.1700884103775024e-01
-            2.2019901871681213e-01 -5.0205707550048828e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5856218338012695e+00</treeThreshold>
-          <internalNodes>
-            1 2 321 4.5000000000000000e+00 0 -1 322
-            2.5000000000000000e+00 -2 -3 323 1.7875000000000000e+03</internalNodes>
-          <leafValues>
-            -6.5830785036087036e-01 5.2842289209365845e-01
-            -4.4524073600769043e-01 1.5747387707233429e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5183806419372559e+00</treeThreshold>
-          <internalNodes>
-            1 2 324 7.8500000000000000e+01 0 -1 325
-            2.1500000000000000e+01 -2 -3 326 283.</internalNodes>
-          <leafValues>
-            4.9533292651176453e-01 -3.2849147915840149e-01
-            -8.8443028926849365e-01 -4.6591479331254959e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.2458000183105469e+00</treeThreshold>
-          <internalNodes>
-            1 2 327 2.9500000000000000e+01 0 -1 328
-            4.5000000000000000e+00 -2 -3 329 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.8163262605667114e-01 -5.6158578395843506e-01
-            -5.1157724857330322e-01 3.5844418406486511e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7198004722595215e+00</treeThreshold>
-          <internalNodes>
-            1 2 330 1.7500000000000000e+01 0 -1 331
-            8.5000000000000000e+00 -2 -3 332 94.</internalNodes>
-          <leafValues>
-            -1.6375185549259186e-01 4.7400090098381042e-01
-            -8.1118392944335938e-01 -3.4891348332166672e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6042866706848145e+00</treeThreshold>
-          <internalNodes>
-            1 2 333 1.5500000000000000e+01 0 -1 334
-            2.8500000000000000e+01 -2 -3 335 1.1255000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7163597941398621e-01 4.8851761221885681e-01
-            -4.1841214895248413e-01 5.2421635389328003e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8545336723327637e+00</treeThreshold>
-          <internalNodes>
-            1 2 336 5.0000000000000000e-01 0 -1 337
-            6.5000000000000000e+00 -2 -3 338 1.5755000000000000e+03</internalNodes>
-          <leafValues>
-            -5.1451754570007324e-01 5.8292496204376221e-01
-            5.4736447334289551e-01 -2.9082155227661133e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2435092926025391e+00</treeThreshold>
-          <internalNodes>
-            1 2 339 2.5000000000000000e+00 0 -1 340 298. -2 -3 341
-            3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5548179149627686e-01 -4.2350277304649353e-01
-            -4.2017799615859985e-01 3.3250615000724792e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1081476211547852e+00</treeThreshold>
-          <internalNodes>
-            1 2 342 2306. 0 -1 343 4.8350000000000000e+02 -2 -3 344
-            2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4824672937393188e-01 8.6650526523590088e-01
-            2.9151761531829834e-01 -3.6584287881851196e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9108762741088867e+00</treeThreshold>
-          <internalNodes>
-            0 1 345 2758. 0 1 345 2758. -1 -2 346 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. -1.  2.9584947228431702e-01 -1.9727160036563873e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1822175979614258e+00</treeThreshold>
-          <internalNodes>
-            1 2 347 2.3500000000000000e+01 0 -1 348 282. -2 -3 349
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1519537568092346e-01 -7.7347069978713989e-01
-            2.7134174108505249e-01 -2.6304042339324951e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1136093139648438e+00</treeThreshold>
-          <internalNodes>
-            1 2 350 6.6500000000000000e+01 0 -1 351
-            1.4500000000000000e+01 -2 -3 352 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0191783607006073e-02 -7.9695141315460205e-01
-            4.5921468734741211e-01 -4.6219456195831299e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4452056884765625e+00</treeThreshold>
-          <internalNodes>
-            1 2 353 5.0000000000000000e-01 0 -1 354
-            1.1750000000000000e+02 -2 -3 355 1.4615000000000000e+03</internalNodes>
-          <leafValues>
-            6.2617254257202148e-01 -6.0764908790588379e-01
-            -2.9064002633094788e-01 7.1891576051712036e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4361963272094727e+00</treeThreshold>
-          <internalNodes>
-            1 2 356 7.3500000000000000e+01 0 -1 357 825. -2 -3 358
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.0967606306076050e-01 -7.7204084396362305e-01
-            6.0940122604370117e-01 -9.0096443891525269e-03</leafValues></_>
-        <_>
-          <treeThreshold>8.7065010070800781e+00</treeThreshold>
-          <internalNodes>
-            1 2 359 3.1500000000000000e+01 0 -1 360
-            1.1475500000000000e+04 -2 -3 361 262.</internalNodes>
-          <leafValues>
-            4.0798941254615784e-01 -6.3121789693832397e-01
-            -4.9538758397102356e-01 2.7030462026596069e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5846290588378906e+00</treeThreshold>
-          <internalNodes>
-            1 2 362 1.4500000000000000e+01 0 -1 363
-            1.3524500000000000e+04 -2 -3 364 1.5650000000000000e+02</internalNodes>
-          <leafValues>
-            6.1740058660507202e-01 -1.2187176942825317e-01
-            -4.5620942115783691e-01 2.4483670294284821e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5813455581665039e+00</treeThreshold>
-          <internalNodes>
-            1 2 365 1.9500000000000000e+01 0 -1 366
-            2.4550000000000000e+02 -2 -3 367 1.5150000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2830052077770233e-03 -7.3917645215988159e-01
-            8.6923849582672119e-01 -3.4717652201652527e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3619909286499023e+00</treeThreshold>
-          <internalNodes>
-            1 2 368 8.5000000000000000e+00 0 -1 369 915. -2 -3 370
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.7836102545261383e-02 -8.9932316541671753e-01
-            3.6531907320022583e-01 -2.1935538947582245e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8194007873535156e+00</treeThreshold>
-          <internalNodes>
-            1 2 371 5.3500000000000000e+01 0 -1 372
-            4.5000000000000000e+00 -2 -3 373 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0001569986343384e-01 -6.3893711566925049e-01
-            4.5741054415702820e-01 -1.3190703094005585e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5848417282104492e+00</treeThreshold>
-          <internalNodes>
-            1 2 374 1.2185000000000000e+03 0 -1 375
-            5.6500000000000000e+01 -2 -3 376 7.8650000000000000e+02</internalNodes>
-          <leafValues>
-            -3.6798512935638428e-01 6.3582497835159302e-01
-            8.7271928787231445e-01 4.6488631516695023e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7026214599609375e+00</treeThreshold>
-          <internalNodes>
-            1 2 377 3.7500000000000000e+01 0 -1 378
-            8.1500000000000000e+01 -2 -3 379 2.2350000000000000e+02</internalNodes>
-          <leafValues>
-            -1.1387371271848679e-01 4.8333024978637695e-01
-            5.4781770706176758e-01 -6.5416949987411499e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9529705047607422e+00</treeThreshold>
-          <internalNodes>
-            1 2 380 2.0500000000000000e+01 0 -1 381
-            7.5000000000000000e+00 -2 -3 382 1.3235000000000000e+03</internalNodes>
-          <leafValues>
-            -7.0283526182174683e-01 2.5034907460212708e-01
-            -7.6881372928619385e-01 1.7487525939941406e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0659570693969727e+00</treeThreshold>
-          <internalNodes>
-            1 2 383 3.5000000000000000e+00 0 -1 384
-            6.5000000000000000e+00 -2 -3 385 7.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -9.7807765007019043e-01 4.7183737158775330e-01
-            1.1298649013042450e-01 -4.7387996315956116e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2564897537231445e+00</treeThreshold>
-          <internalNodes>
-            1 2 386 7.0650000000000000e+02 0 -1 387
-            2.7500000000000000e+01 -2 -3 388 3.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -4.3204694986343384e-01 4.6149665117263794e-01
-            -4.5656362175941467e-01 4.0426468849182129e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5633430480957031e+00</treeThreshold>
-          <internalNodes>
-            1 2 389 1.7250000000000000e+02 0 -1 390
-            1.4350000000000000e+02 -2 -3 391 2168.</internalNodes>
-          <leafValues>
-            3.0685371160507202e-01 -6.7446005344390869e-01
-            -5.6666123867034912e-01 5.7540327310562134e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4047651290893555e+00</treeThreshold>
-          <internalNodes>
-            1 2 392 5.0000000000000000e-01 0 -1 393 36. -2 -3 394
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9199495315551758e-01 6.9151669740676880e-01
-            3.1148543953895569e-01 -3.2515323162078857e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.8578929901123047e+00</treeThreshold>
-          <internalNodes>
-            1 2 395 1.6500000000000000e+01 0 -1 396
-            8.5000000000000000e+00 -2 -3 397 6655.</internalNodes>
-          <leafValues>
-            -6.3973349332809448e-01 -2.6324391365051270e-02
-            4.5312842726707458e-01 -7.6435673236846924e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0109946250915527e+01</treeThreshold>
-          <internalNodes>
-            1 2 398 8.1850000000000000e+02 0 -1 399 5. -2 -3 400
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.7892904281616211e-01 2.5205332040786743e-01
-            -2.3775234818458557e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0110588073730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 401 8.9500000000000000e+01 0 -1 402
-            1.9500000000000000e+01 -2 -3 403 3.3150000000000000e+02</internalNodes>
-          <leafValues>
-            6.0288328677415848e-02 -5.5889946222305298e-01
-            -6.6790217161178589e-01 4.9099177122116089e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0178493499755859e+01</treeThreshold>
-          <internalNodes>
-            1 2 404 8.3500000000000000e+01 0 -1 405
-            5.0000000000000000e-01 -2 -3 406 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            6.6644616425037384e-02 -4.7016331553459167e-01
-            6.9829040765762329e-01 -7.4734330177307129e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0367170333862305e+01</treeThreshold>
-          <internalNodes>
-            1 2 407 3.1968500000000000e+04 0 -1 408
-            1.4500000000000000e+01 -2 -3 409 1.9650000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8887441158294678e-01 1.8867671489715576e-01
-            -6.9990497827529907e-01 7.3294508457183838e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0330060958862305e+01</treeThreshold>
-          <internalNodes>
-            1 2 410 3.0500000000000000e+01 0 -1 411
-            4.5000000000000000e+00 -2 -3 412 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1319993138313293e-01 -1.7337587475776672e-01
-            -6.1255306005477905e-01 5.2832174301147461e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0422311782836914e+01</treeThreshold>
-          <internalNodes>
-            1 2 413 1.5750000000000000e+02 0 -1 414 2858. -2 -3 415 267.</internalNodes>
-          <leafValues>
-            9.2250838875770569e-02 -6.7853665351867676e-01
-            -5.2487850189208984e-01 3.7964582443237305e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0936569213867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 416 5.5000000000000000e+00 0 -1 417
-            1.5000000000000000e+00 -2 -3 418 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1109032630920410e-01 5.2976405620574951e-01
-            -7.1571081876754761e-01 -3.8149278610944748e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0785615921020508e+01</treeThreshold>
-          <internalNodes>
-            1 2 419 5.5000000000000000e+00 0 -1 420
-            2.5000000000000000e+00 -2 -3 421 5.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9414331912994385e-01 5.1595968008041382e-01
-            -5.1001089811325073e-01 2.4380905926227570e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1078557014465332e+01</treeThreshold>
-          <internalNodes>
-            1 2 422 6.2045000000000000e+03 0 -1 423
-            2.1500000000000000e+01 -2 -3 424 7.3450000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1469475030899048e-01 2.9294142127037048e-01
-            8.0896812677383423e-01 -6.5453553199768066e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1050524711608887e+01</treeThreshold>
-          <internalNodes>
-            1 2 425 1.2500000000000000e+01 0 -1 426
-            3.1250000000000000e+02 -2 -3 427 2.7950000000000000e+02</internalNodes>
-          <leafValues>
-            7.0064479112625122e-01 -3.8257476687431335e-01
-            1.9552476704120636e-01 -4.3830174207687378e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1334832191467285e+01</treeThreshold>
-          <internalNodes>
-            1 2 428 1.8675000000000000e+03 0 -1 429
-            6.5000000000000000e+00 -2 -3 430 1.1475000000000000e+03</internalNodes>
-          <leafValues>
-            3.7387716770172119e-01 -7.6267945766448975e-01
-            -5.4317325353622437e-01 2.8430745005607605e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1113101959228516e+01</treeThreshold>
-          <internalNodes>
-            1 2 431 1.4850000000000000e+02 0 -1 432
-            8.3500000000000000e+01 -2 -3 433 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8298897445201874e-02 -6.6938400268554688e-01
-            4.6958562731742859e-01 -2.8687629103660583e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0955561637878418e+01</treeThreshold>
-          <internalNodes>
-            1 2 434 4.3500000000000000e+01 0 -1 435
-            5.5000000000000000e+00 -2 -3 436 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.3246925175189972e-01 -5.9307396411895752e-01
-            4.5207285881042480e-01 -1.5754084289073944e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1154244422912598e+01</treeThreshold>
-          <internalNodes>
-            1 2 437 3.5500000000000000e+01 0 -1 438 149. -2 -3 439
-            1.0764500000000000e+04</internalNodes>
-          <leafValues>
-            1.6496022045612335e-01 -8.5004007816314697e-01
-            1.9868306815624237e-01 -7.6483601331710815e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1040904045104980e+01</treeThreshold>
-          <internalNodes>
-            1 2 440 1.7500000000000000e+01 0 -1 441
-            2.7650000000000000e+02 -2 -3 442 6.0650000000000000e+02</internalNodes>
-          <leafValues>
-            3.8257870078086853e-01 -8.7649303674697876e-01
-            5.6843882799148560e-01 -1.1334086209535599e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0785296440124512e+01</treeThreshold>
-          <internalNodes>
-            1 2 443 2.0850000000000000e+02 0 -1 444
-            5.0000000000000000e-01 -2 -3 445 153.</internalNodes>
-          <leafValues>
-            2.4452392756938934e-01 -4.5549276471138000e-01
-            5.3557026386260986e-01 -2.5560736656188965e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1557132720947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 446 3.1695000000000000e+03 0 -1 447 17097. -2 -3 448
-            1.6791500000000000e+04</internalNodes>
-          <leafValues>
-            -8.1668007373809814e-01 8.2250398397445679e-01
-            -3.6227312684059143e-01 1.6900251805782318e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1418401718139648e+01</treeThreshold>
-          <internalNodes>
-            1 2 449 1.7705000000000000e+03 0 -1 450
-            4.6565000000000000e+03 -2 -3 451 4.5550000000000000e+02</internalNodes>
-          <leafValues>
-            -1.8939907848834991e-01 5.5706465244293213e-01
-            2.2822033613920212e-02 -6.7216074466705322e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1332237243652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 452 1.9500000000000000e+01 0 -1 453
-            5.0000000000000000e-01 -2 -3 454 168.</internalNodes>
-          <leafValues>
-            9.8821230232715607e-02 -9.9127775430679321e-01
-            2.8800103068351746e-01 -3.2348513603210449e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1800554275512695e+01</treeThreshold>
-          <internalNodes>
-            1 2 455 9.6500000000000000e+01 0 -1 456
-            3.5000000000000000e+00 -2 -3 457 1.2085000000000000e+03</internalNodes>
-          <leafValues>
-            1.2269663810729980e-01 -4.6963310241699219e-01
-            4.6831732988357544e-01 -7.5347024202346802e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1746677398681641e+01</treeThreshold>
-          <internalNodes>
-            1 2 458 2.6500000000000000e+01 0 -1 459
-            1.2500000000000000e+01 -2 -3 460 6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9853442311286926e-01 -6.0757899284362793e-01
-            4.3772074580192566e-01 -1.3283115625381470e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1710562705993652e+01</treeThreshold>
-          <internalNodes>
-            1 2 461 3.4500000000000000e+01 0 -1 462
-            5.0000000000000000e-01 -2 -3 463 2.0950000000000000e+02</internalNodes>
-          <leafValues>
-            3.1521999835968018e-01 -5.5736678838729858e-01
-            6.7748945951461792e-01 -3.6115031689405441e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1582207679748535e+01</treeThreshold>
-          <internalNodes>
-            1 2 464 1.5000000000000000e+00 0 -1 465
-            1.4750000000000000e+02 -2 -3 466 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.5662528276443481e-01 8.8448798656463623e-01
-            5.0583779811859131e-01 -1.2840148806571960e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1577805519104004e+01</treeThreshold>
-          <internalNodes>
-            1 2 467 2.6250000000000000e+02 0 -1 468
-            8.5000000000000000e+00 -2 -3 469 2.7050000000000000e+02</internalNodes>
-          <leafValues>
-            5.8746252208948135e-02 -5.1417016983032227e-01
-            -4.4025536626577377e-03 7.2468632459640503e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1909842491149902e+01</treeThreshold>
-          <internalNodes>
-            1 2 470 3.0500000000000000e+01 0 -1 471
-            9.1500000000000000e+01 -2 -3 472 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6228722929954529e-01 -8.3183318376541138e-01
-            3.3203727006912231e-01 -2.0215129852294922e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1820110321044922e+01</treeThreshold>
-          <internalNodes>
-            1 2 473 3.6150000000000000e+02 0 -1 474
-            7.5500000000000000e+01 -2 -3 475 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4021586179733276e-02 -7.3799329996109009e-01
-            5.9181433916091919e-01 -8.9732393622398376e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.2058867454528809e+01</treeThreshold>
-          <internalNodes>
-            1 2 476 2.1850000000000000e+02 0 -1 477
-            1.3970500000000000e+04 -2 -3 478 3.5405000000000000e+03</internalNodes>
-          <leafValues>
-            2.3875749111175537e-01 -3.4735745191574097e-01
-            8.4880095720291138e-01 -3.6369037628173828e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2003521919250488e+01</treeThreshold>
-          <internalNodes>
-            1 2 479 1.2045000000000000e+03 0 -1 480
-            5.0000000000000000e-01 -2 -3 481 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9498512148857117e-01 -4.0264678001403809e-01
-            6.4470326900482178e-01 -4.2276349663734436e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2398437500000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 482 1.7500000000000000e+01 0 -1 483 13266. -2 -3 484
-            2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0403804481029510e-01 -7.6852244138717651e-01
-            3.9491611719131470e-01 -1.4494727551937103e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2834873199462891e+01</treeThreshold>
-          <internalNodes>
-            1 2 485 8.5000000000000000e+00 0 -1 486
-            1.9500000000000000e+01 -2 -3 487 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4885479360818863e-02 -6.1086690425872803e-01
-            -3.8872721791267395e-01 4.3643516302108765e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2477423667907715e+01</treeThreshold>
-          <internalNodes>
-            1 2 488 6.6500000000000000e+01 0 -1 489
-            2.9500000000000000e+01 -2 -3 490 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9354419708251953e-01 3.1559488177299500e-01
-            -5.1763534545898438e-01 2.7538600564002991e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3054378509521484e+01</treeThreshold>
-          <internalNodes>
-            1 2 491 8.2350000000000000e+02 0 -1 492
-            9.1500000000000000e+01 -2 -3 493 3.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.0999827682971954e-02 5.7695519924163818e-01
-            -8.2453000545501709e-01 2.1885833144187927e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3001498222351074e+01</treeThreshold>
-          <internalNodes>
-            1 2 494 3.5000000000000000e+00 0 -1 495
-            4.5000000000000000e+00 -2 -3 496 1.2545000000000000e+03</internalNodes>
-          <leafValues>
-            -3.3553498983383179e-01 4.7332924604415894e-01
-            -4.0103676915168762e-01 2.5861555337905884e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2748070716857910e+01</treeThreshold>
-          <internalNodes>
-            1 2 497 7.2500000000000000e+01 0 -1 498
-            1.2078500000000000e+04 -2 -3 499 6.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.6012886762619019e-01 5.0949209928512573e-01
-            -3.8095393776893616e-01 3.5849356651306152e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3219707489013672e+01</treeThreshold>
-          <internalNodes>
-            1 2 500 5.0000000000000000e-01 0 -1 501
-            4.5000000000000000e+00 -2 -3 502 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3156263828277588e-01 4.7163730859756470e-01
-            1.4885266125202179e-01 -4.8097932338714600e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3100829124450684e+01</treeThreshold>
-          <internalNodes>
-            1 2 503 1.5500000000000000e+01 0 -1 504
-            6.5000000000000000e+00 -2 -3 505 1.6745000000000000e+03</internalNodes>
-          <leafValues>
-            4.8601552844047546e-02 -8.4098070859909058e-01
-            4.4885209202766418e-01 -1.1887902766466141e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3153789520263672e+01</treeThreshold>
-          <internalNodes>
-            1 2 506 1.9750000000000000e+02 0 -1 507
-            5.0000000000000000e-01 -2 -3 508 1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            3.5855168104171753e-01 -1.6984774172306061e-01
-            -8.2890641689300537e-01 8.5591834783554077e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3473151206970215e+01</treeThreshold>
-          <internalNodes>
-            1 2 509 2.0500000000000000e+01 0 -1 510
-            2.3500000000000000e+01 -2 -3 511 8.1050000000000000e+02</internalNodes>
-          <leafValues>
-            3.1073799729347229e-01 -9.3193674087524414e-01
-            -1.7174348235130310e-01 4.0613415837287903e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3465453147888184e+01</treeThreshold>
-          <internalNodes>
-            1 2 512 2.1265000000000000e+03 0 -1 513
-            9.2950000000000000e+02 -2 -3 514 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.6984455808997154e-03 7.1764069795608521e-01
-            2.0267011225223541e-01 -6.4554244279861450e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3577540397644043e+01</treeThreshold>
-          <internalNodes>
-            1 2 515 2.7500000000000000e+01 0 -1 516 36. -2 -3 517
-            4.1350000000000000e+02</internalNodes>
-          <leafValues>
-            1.5204006433486938e-01 -8.1754583120346069e-01
-            -9.6264392137527466e-02 4.6634069085121155e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3565153121948242e+01</treeThreshold>
-          <internalNodes>
-            1 2 518 8.2500000000000000e+01 0 -1 519
-            8.4500000000000000e+01 -2 -3 520 9545.</internalNodes>
-          <leafValues>
-            3.0989632010459900e-01 -6.6030853986740112e-01
-            -6.4033728837966919e-01 -2.4311884772032499e-03</leafValues></_>
-        <_>
-          <treeThreshold>1.3631966590881348e+01</treeThreshold>
-          <internalNodes>
-            1 2 521 2.3500000000000000e+01 0 -1 522
-            5.2500000000000000e+01 -2 -3 523 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1883838772773743e-01 2.8375336527824402e-01
-            6.9719344377517700e-01 -6.3891428709030151e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3900455474853516e+01</treeThreshold>
-          <internalNodes>
-            1 2 524 5.1500000000000000e+01 0 -1 525
-            4.5000000000000000e+00 -2 -3 526 22871.</internalNodes>
-          <leafValues>
-            -6.8288409709930420e-01 3.8537871837615967e-01
-            2.3610968887805939e-01 -4.6725943684577942e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3885604858398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 527 6.3917500000000000e+04 0 -1 528
-            6.5000000000000000e+00 -2 -3 529 9.7500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8357095122337341e-01 -8.4825068712234497e-01
-            4.4022575020790100e-01 -1.7257900536060333e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4077846527099609e+01</treeThreshold>
-          <internalNodes>
-            1 2 530 1.9305000000000000e+03 0 -1 531
-            4.5000000000000000e+00 -2 -3 532 5275.</internalNodes>
-          <leafValues>
-            3.3539947867393494e-01 -2.5358977913856506e-01
-            8.1407654285430908e-01 -8.9784932136535645e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4307449340820312e+01</treeThreshold>
-          <internalNodes>
-            1 2 533 4.2500000000000000e+01 0 -1 534
-            3.2250000000000000e+02 -2 -3 535 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.7229333817958832e-02 -9.4649451971054077e-01
-            -5.4333996772766113e-01 2.2960273921489716e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4230868339538574e+01</treeThreshold>
-          <internalNodes>
-            1 2 536 4.7500000000000000e+01 0 -1 537
-            5.0000000000000000e-01 -2 -3 538 7.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4770493507385254e-01 -7.6581157743930817e-02
-            -8.0993747711181641e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.4503654479980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 539 2.1500000000000000e+01 0 -1 540
-            6.7525000000000000e+03 -2 -3 541 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3048166036605835e-01 -8.7906163930892944e-01
-            2.7278691530227661e-01 -4.8766756057739258e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4462507247924805e+01</treeThreshold>
-          <internalNodes>
-            1 2 542 5.0950000000000000e+02 0 -1 543
-            4.8500000000000000e+01 -2 -3 544 2334.</internalNodes>
-          <leafValues>
-            -4.5064944028854370e-01 1.7299294471740723e-01
-            7.4772566556930542e-01 -4.1147492825984955e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.4535001754760742e+01</treeThreshold>
-          <internalNodes>
-            1 2 545 3.5000000000000000e+00 0 -1 546
-            4.5000000000000000e+00 -2 -3 547 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2824006080627441e-01 5.8265477418899536e-01
-            -3.6995452642440796e-01 2.3856091499328613e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4815734863281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 548 2.0500000000000000e+01 0 -1 549
-            4.5000000000000000e+00 -2 -3 550 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9162200689315796e-01 2.8073275089263916e-01
-            9.8183512687683105e-02 -7.3680752515792847e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4583820343017578e+01</treeThreshold>
-          <internalNodes>
-            1 2 551 1.0500000000000000e+01 0 -1 552 10. -2 -3 553
-            9.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9265322685241699e-01 2.6653656363487244e-01
-            -4.8498126864433289e-01 4.9194815754890442e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4590086936950684e+01</treeThreshold>
-          <internalNodes>
-            1 2 554 1.4075000000000000e+03 0 -1 555
-            8.5000000000000000e+00 -2 -3 556 2.2350000000000000e+02</internalNodes>
-          <leafValues>
-            7.2318482398986816e-01 -6.5714889764785767e-01
-            1.9554860889911652e-02 7.8212785720825195e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4370420455932617e+01</treeThreshold>
-          <internalNodes>
-            1 2 557 1.3055000000000000e+03 0 -1 558
-            6.3615000000000000e+03 -2 -3 559 5.5050000000000000e+02</internalNodes>
-          <leafValues>
-            6.6717378795146942e-02 7.7986842393875122e-01
-            4.8897069692611694e-01 -4.9088051915168762e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4557469367980957e+01</treeThreshold>
-          <internalNodes>
-            1 2 560 2.0500000000000000e+01 0 -1 561
-            1.9500000000000000e+01 -2 -3 562 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.0846841335296631e-01 7.7918326854705811e-01
-            4.8263064026832581e-01 -1.0205705463886261e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4732933044433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 563 9.5000000000000000e+00 0 -1 564
-            5.0000000000000000e-01 -2 -3 565 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2908272743225098e-01 4.2271518707275391e-01
-            3.5304966568946838e-01 -3.6941051483154297e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4693087577819824e+01</treeThreshold>
-          <internalNodes>
-            1 2 566 1.7250000000000000e+02 0 -1 567 59. -2 -3 568
-            1.1475000000000000e+03</internalNodes>
-          <leafValues>
-            1.8885573744773865e-01 -5.3026914596557617e-01
-            3.7803548574447632e-01 -4.6766680479049683e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4745432853698730e+01</treeThreshold>
-          <internalNodes>
-            1 2 569 1.3495000000000000e+03 0 -1 570
-            1.8257500000000000e+04 -2 -3 571 2.3425000000000000e+03</internalNodes>
-          <leafValues>
-            6.3086611032485962e-01 -8.6466968059539795e-01
-            -5.3896957635879517e-01 5.2345264703035355e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.4932119369506836e+01</treeThreshold>
-          <internalNodes>
-            1 2 572 2.2500000000000000e+01 0 -1 573
-            1.5000000000000000e+00 -2 -3 574 201.</internalNodes>
-          <leafValues>
-            3.3922508358955383e-01 -2.9905751347541809e-01
-            6.2781113386154175e-01 -6.2289994955062866e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4913761138916016e+01</treeThreshold>
-          <internalNodes>
-            1 2 575 5.5000000000000000e+00 0 -1 576
-            2.3500000000000000e+01 -2 -3 577 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.2805154547095299e-02 -8.7636989355087280e-01
-            5.5972194671630859e-01 -1.8357984721660614e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5149147987365723e+01</treeThreshold>
-          <internalNodes>
-            1 2 578 9.5500000000000000e+01 0 -1 579
-            1.7500000000000000e+01 -2 -3 580 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1609076261520386e-01 -7.7603405714035034e-01
-            -5.4710090160369873e-01 2.3538668453693390e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5329943656921387e+01</treeThreshold>
-          <internalNodes>
-            1 2 581 6.5000000000000000e+00 0 -1 582
-            1.2500000000000000e+01 -2 -3 583 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9671869277954102e-01 4.9136134982109070e-01
-            -4.6433421969413757e-01 2.6395168900489807e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5564647674560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 584 5.6215000000000000e+03 0 -1 585
-            1.2250000000000000e+02 -2 -3 586 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3470385372638702e-01 -3.8976871967315674e-01
-            -7.1197110414505005e-01 8.2057034969329834e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5355414390563965e+01</treeThreshold>
-          <internalNodes>
-            1 2 587 38. 0 -1 588 5.0000000000000000e-01 -2 -3 589 538.</internalNodes>
-          <leafValues>
-            1.3751998543739319e-01 -5.2037465572357178e-01
-            -5.0987344980239868e-01 4.1290232539176941e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5045125007629395e+01</treeThreshold>
-          <internalNodes>
-            1 2 590 1.5645000000000000e+03 0 -1 591
-            5.4325000000000000e+03 -2 -3 592 1.2175000000000000e+03</internalNodes>
-          <leafValues>
-            -5.2137178182601929e-01 8.4993147850036621e-01
-            -3.6553221940994263e-01 1.5015892684459686e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5401144027709961e+01</treeThreshold>
-          <internalNodes>
-            1 2 593 4.9850000000000000e+02 0 -1 594
-            7.4750000000000000e+02 -2 -3 595 1.1765000000000000e+03</internalNodes>
-          <leafValues>
-            -6.4674472808837891e-01 3.5601863265037537e-01
-            4.2863798141479492e-01 -5.4054826498031616e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5869146347045898e+01</treeThreshold>
-          <internalNodes>
-            1 2 596 1.7500000000000000e+01 0 -1 597
-            1.4500000000000000e+01 -2 -3 598 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3737052679061890e-01 4.6800240874290466e-01
-            2.9216369986534119e-01 -4.2118266224861145e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5621976852416992e+01</treeThreshold>
-          <internalNodes>
-            1 2 599 1.2028050000000000e+05 0 -1 600
-            5.0000000000000000e-01 -2 -3 601 1.6150000000000000e+02</internalNodes>
-          <leafValues>
-            5.1389163732528687e-01 -9.5765459537506104e-01
-            -2.4716944992542267e-01 3.0435198545455933e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5864768028259277e+01</treeThreshold>
-          <internalNodes>
-            1 2 602 805. 0 -1 603 9.9500000000000000e+01 -2 -3 604 142.</internalNodes>
-          <leafValues>
-            2.4279133975505829e-01 -5.3714054822921753e-01
-            -7.2764933109283447e-01 9.6386188268661499e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6094741821289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 605 1.3500000000000000e+01 0 -1 606
-            3.8500000000000000e+01 -2 -3 607 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6710120439529419e-01 6.3659375905990601e-01
-            5.6683868169784546e-01 -7.7470704913139343e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.6352821350097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 608 2.4500000000000000e+01 0 -1 609 321. -2 -3 610
-            2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7493336200714111e-01 -4.8655620217323303e-01
-            -3.4665739536285400e-01 4.6393311023712158e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6565885543823242e+01</treeThreshold>
-          <internalNodes>
-            1 2 611 99. 0 -1 612 2.7500000000000000e+01 -2 -3 613 18.</internalNodes>
-          <leafValues>
-            -4.0105590224266052e-01 2.1306316554546356e-01
-            9.1738814115524292e-01 -9.6910119056701660e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6171833038330078e+01</treeThreshold>
-          <internalNodes>
-            1 2 614 6.2500000000000000e+01 0 -1 615 850. -2 -3 616
-            6.4350000000000000e+02</internalNodes>
-          <leafValues>
-            3.9383631944656372e-01 -3.4801158308982849e-01
-            -5.9990471601486206e-01 2.6293095946311951e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6745443344116211e+01</treeThreshold>
-          <internalNodes>
-            1 2 617 1.2715000000000000e+03 0 -1 618
-            4.5000000000000000e+00 -2 -3 619 1.0584500000000000e+04</internalNodes>
-          <leafValues>
-            3.5729202628135681e-01 -3.7123405933380127e-01
-            5.7361000776290894e-01 -7.0969957113265991e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6956495285034180e+01</treeThreshold>
-          <internalNodes>
-            1 2 620 3.6500000000000000e+01 0 -1 621
-            1.5000000000000000e+00 -2 -3 622 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9200624227523804e-01 -8.8115519285202026e-01
-            -6.2640070915222168e-01 2.1105219423770905e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6578645706176758e+01</treeThreshold>
-          <internalNodes>
-            1 2 623 5.5850000000000000e+02 0 -1 624
-            1.2405000000000000e+03 -2 -3 625 6.2065000000000000e+03</internalNodes>
-          <leafValues>
-            -3.0536270141601562e-01 5.6700426340103149e-01
-            5.8548355102539062e-01 -3.8756856322288513e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6797395706176758e+01</treeThreshold>
-          <internalNodes>
-            1 2 626 6.3500000000000000e+01 0 -1 627
-            2.6050000000000000e+02 -2 -3 628 3.4035000000000000e+03</internalNodes>
-          <leafValues>
-            2.1875059604644775e-01 -8.0542641878128052e-01
-            7.2240287065505981e-01 -7.4785083532333374e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7109027862548828e+01</treeThreshold>
-          <internalNodes>
-            1 2 629 3.8500000000000000e+01 0 -1 630
-            8.5000000000000000e+00 -2 -3 631 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9990634918212891e-01 -6.7117756605148315e-01
-            5.0323921442031860e-01 -9.7235314548015594e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7138694763183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 632 2.2500000000000000e+01 0 -1 633
-            3.5000000000000000e+00 -2 -3 634 2.5850000000000000e+02</internalNodes>
-          <leafValues>
-            2.9667703434824944e-02 -6.7911773920059204e-01
-            -3.2311308383941650e-01 3.8892340660095215e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7337394714355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 635 1.5450000000000000e+02 0 -1 636
-            2.5000000000000000e+00 -2 -3 637 3.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9533338546752930e-01 1.9869966804981232e-01
-            -6.8889272212982178e-01 6.1526125669479370e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7321151733398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 638 1.0500000000000000e+01 0 -1 639 36. -2 -3 640
-            2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3758604526519775e-01 3.5460218787193298e-01
-            2.2363138198852539e-01 -5.2678769826889038e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7182849884033203e+01</treeThreshold>
-          <internalNodes>
-            1 2 641 4.6085000000000000e+03 0 -1 642
-            5.8500000000000000e+01 -2 -3 643 1.9495000000000000e+03</internalNodes>
-          <leafValues>
-            -7.5954502820968628e-01 4.3844437599182129e-01
-            5.2219676971435547e-01 -1.3830167055130005e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6850194931030273e+01</treeThreshold>
-          <internalNodes>
-            1 2 644 1.5000000000000000e+00 0 -1 645
-            5.3500000000000000e+01 -2 -3 646 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.6336588859558105e-01 3.9829358458518982e-01
-            1.3566142320632935e-01 -5.0935441255569458e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7548809051513672e+01</treeThreshold>
-          <internalNodes>
-            1 2 647 5.0000000000000000e-01 0 -1 648
-            4.5000000000000000e+00 -2 -3 649 4.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -6.3685965538024902e-01 6.9861376285552979e-01
-            -2.4660472571849823e-01 5.1089668273925781e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7800493240356445e+01</treeThreshold>
-          <internalNodes>
-            1 2 650 8.4115000000000000e+03 0 -1 651
-            3.5000000000000000e+00 -2 -3 652 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2067098617553711e-01 2.5168481469154358e-01
-            3.3256745338439941e-01 -8.4237796068191528e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7848138809204102e+01</treeThreshold>
-          <internalNodes>
-            1 2 653 1.0500000000000000e+01 0 -1 654 69. -2 -3 655
-            9.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9294911623001099e-01 4.2984691262245178e-01
-            -6.0193759202957153e-01 4.7644726932048798e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7507314682006836e+01</treeThreshold>
-          <internalNodes>
-            1 2 656 8.5000000000000000e+00 0 -1 657
-            8.5000000000000000e+00 -2 -3 658 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 5.8663016557693481e-01 -3.4082308411598206e-01
-            3.3277565240859985e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7846509933471680e+01</treeThreshold>
-          <internalNodes>
-            1 2 659 6.9500000000000000e+01 0 -1 660
-            1.5500000000000000e+01 -2 -3 661 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.3919540047645569e-01 -2.3123474419116974e-01
-            -6.8450891971588135e-01 1.9382451474666595e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7992757797241211e+01</treeThreshold>
-          <internalNodes>
-            1 2 662 1.2135000000000000e+03 0 -1 663
-            5.5000000000000000e+00 -2 -3 664 9912.</internalNodes>
-          <leafValues>
-            1.4624653756618500e-01 -5.0702661275863647e-01
-            5.2294051647186279e-01 -3.3612698316574097e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8306097030639648e+01</treeThreshold>
-          <internalNodes>
-            1 2 665 1.1150000000000000e+02 0 -1 666
-            2.9500000000000000e+01 -2 -3 667 131.</internalNodes>
-          <leafValues>
-            2.2407530248165131e-01 -4.9484744668006897e-01
-            4.4897791743278503e-01 -5.9033888578414917e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8481115341186523e+01</treeThreshold>
-          <internalNodes>
-            1 2 668 5.4500000000000000e+01 0 -1 669
-            4.5000000000000000e+00 -2 -3 670 1.0450000000000000e+02</internalNodes>
-          <leafValues>
-            9.0135312080383301e-01 -8.8288795948028564e-01
-            1.7501948773860931e-01 -5.7581090927124023e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8067760467529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 671 3.3500000000000000e+01 0 -1 672
-            5.0000000000000000e-01 -2 -3 673 9.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3020740747451782e-01 -5.1798826456069946e-01
-            -4.4331407546997070e-01 3.4977889060974121e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8271715164184570e+01</treeThreshold>
-          <internalNodes>
-            1 2 674 1.6950000000000000e+02 0 -1 675
-            5.5000000000000000e+00 -2 -3 676 1.5850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4128860235214233e-01 2.0395421981811523e-01
-            -6.4517414569854736e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.8107772827148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 677 3.4335000000000000e+03 0 -1 678
-            6.8955000000000000e+03 -2 -3 679 8.2335000000000000e+03</internalNodes>
-          <leafValues>
-            -1.0244774073362350e-01 7.3749846220016479e-01
-            -4.6216171979904175e-01 7.2175997495651245e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8459823608398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 680 4.5000000000000000e+00 0 -1 681 149. -2 -3 682
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7881535291671753e-01 3.5205116868019104e-01
-            2.8036254644393921e-01 -4.4955471158027649e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8034639358520508e+01</treeThreshold>
-          <internalNodes>
-            1 2 683 9.2500000000000000e+01 0 -1 684
-            6.0500000000000000e+01 -2 -3 685 1.0795000000000000e+03</internalNodes>
-          <leafValues>
-            3.0652499198913574e-01 -4.2518511414527893e-01
-            4.2748662829399109e-01 -7.5712633132934570e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8265748977661133e+01</treeThreshold>
-          <internalNodes>
-            1 2 686 4137. 0 -1 687 4.5000000000000000e+00 -2 -3 688
-            2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6524448394775391e-01 -8.7384039163589478e-01
-            2.3110976815223694e-01 -4.6121290326118469e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8894989013671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 689 8.2650000000000000e+02 0 -1 690
-            3.0650000000000000e+02 -2 -3 691 5.6025000000000000e+03</internalNodes>
-          <leafValues>
-            -3.5010933876037598e-01 4.3205916881561279e-01
-            6.2924057245254517e-01 -4.4751787185668945e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9186059951782227e+01</treeThreshold>
-          <internalNodes>
-            1 2 692 1.1500000000000000e+01 0 -1 693 10537. -2 -3 694
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5397258996963501e-01 -8.4067875146865845e-01
-            2.9107019305229187e-01 -2.9084861278533936e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9097457885742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 695 5.0000000000000000e-01 0 -1 696
-            2.3365000000000000e+03 -2 -3 697 53.</internalNodes>
-          <leafValues>
-            -2.0022928714752197e-01 5.5956262350082397e-01
-            -3.5728842020034790e-01 6.0947358608245850e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9231519699096680e+01</treeThreshold>
-          <internalNodes>
-            1 2 698 2.9250000000000000e+02 0 -1 699 7389. -2 -3 700
-            7.1615000000000000e+03</internalNodes>
-          <leafValues>
-            4.6205502748489380e-01 -3.7696495652198792e-01
-            -5.6401371955871582e-01 1.2572592496871948e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9182878494262695e+01</treeThreshold>
-          <internalNodes>
-            1 2 701 1.5000000000000000e+00 0 -1 702 2558. -2 -3 703
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.7061773538589478e-01 -8.8573408126831055e-01
-            5.6795483827590942e-01 -4.8640340566635132e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.9205448150634766e+01</treeThreshold>
-          <internalNodes>
-            1 2 704 6.7250000000000000e+02 0 -1 705
-            4.5185000000000000e+03 -2 -3 706 1.6950000000000000e+02</internalNodes>
-          <leafValues>
-            2.2569710388779640e-02 -5.9597754478454590e-01 -1.
-            9.1055244207382202e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9722917556762695e+01</treeThreshold>
-          <internalNodes>
-            1 2 707 5.2150000000000000e+02 0 -1 708
-            2.2500000000000000e+01 -2 -3 709 22.</internalNodes>
-          <leafValues>
-            -3.8346976041793823e-01 1.7193076014518738e-01
-            -7.7268058061599731e-01 5.1746833324432373e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9223962783813477e+01</treeThreshold>
-          <internalNodes>
-            1 2 710 1.6450000000000000e+02 0 -1 711
-            6.0500000000000000e+01 -2 -3 712 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2410076856613159e-01 -6.7257648706436157e-01
-            -6.6855657100677490e-01 8.4185588359832764e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9324115753173828e+01</treeThreshold>
-          <internalNodes>
-            1 2 713 3.1500000000000000e+01 0 -1 714 885. -2 -3 715 458.</internalNodes>
-          <leafValues>
-            3.4352478384971619e-01 -6.2290155887603760e-01
-            -1.5769523382186890e-01 4.6984970569610596e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9645074844360352e+01</treeThreshold>
-          <internalNodes>
-            1 2 716 1.5000000000000000e+00 0 -1 717
-            2.7500000000000000e+01 -2 -3 718 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.5117371082305908e-01 5.1611447334289551e-01
-            3.8312494754791260e-01 -4.8121353983879089e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9339143753051758e+01</treeThreshold>
-          <internalNodes>
-            1 2 719 355. 0 -1 720 5.5000000000000000e+00 -2 -3 721
-            4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9813804626464844e-01 2.2346007823944092e-01 1.
-            -8.0484783649444580e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9826204299926758e+01</treeThreshold>
-          <internalNodes>
-            1 2 722 5.0000000000000000e-01 0 -1 723
-            1.4145000000000000e+03 -2 -3 724 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8705908656120300e-01 -4.7939151525497437e-01
-            -4.1103795170783997e-01 3.4255331754684448e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0040077209472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 725 1.5585000000000000e+03 0 -1 726
-            7.5450000000000000e+02 -2 -3 727 7.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1711019277572632e-01 2.1387414634227753e-01
-            8.2314563915133476e-03 -8.8682103157043457e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9832237243652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 728 3.7250000000000000e+02 0 -1 729
-            1.2500000000000000e+01 -2 -3 730 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            6.4650267362594604e-01 -6.3438403606414795e-01
-            8.2046084105968475e-02 -4.0398535132408142e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0015359878540039e+01</treeThreshold>
-          <internalNodes>
-            1 2 731 616. 0 -1 732 5.3950000000000000e+02 -2 -3 733
-            1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            8.7944704294204712e-01 -8.7063318490982056e-01
-            -7.1043938398361206e-01 1.8312272429466248e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9969459533691406e+01</treeThreshold>
-          <internalNodes>
-            1 2 734 5.5500000000000000e+01 0 -1 735
-            1.8500000000000000e+01 -2 -3 736 463.</internalNodes>
-          <leafValues>
-            -4.5961013436317444e-01 5.2103579044342041e-01
-            -6.5900236368179321e-01 -4.5900702476501465e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.9850994110107422e+01</treeThreshold>
-          <internalNodes>
-            1 2 737 1.5000000000000000e+00 0 -1 738
-            3.5500000000000000e+01 -2 -3 739 1.3995000000000000e+03</internalNodes>
-          <leafValues>
-            -4.4971930980682373e-01 5.4433470964431763e-01
-            1.3450010120868683e-01 -4.4755488634109497e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9611703872680664e+01</treeThreshold>
-          <internalNodes>
-            1 2 740 1.2185000000000000e+03 0 -1 741
-            2.5000000000000000e+00 -2 -3 742 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1004138737916946e-02 -6.4876526594161987e-01
-            5.7901018857955933e-01 -2.3929107189178467e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9846769332885742e+01</treeThreshold>
-          <internalNodes>
-            1 2 743 9.5000000000000000e+00 0 -1 744 26. -2 -3 745
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.8899505734443665e-01 -7.0432722568511963e-01
-            2.3506632447242737e-01 -6.7175412178039551e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9991693496704102e+01</treeThreshold>
-          <internalNodes>
-            1 2 746 5.5000000000000000e+00 0 -1 747 119. -2 -3 748
-            1.2950000000000000e+02</internalNodes>
-          <leafValues>
-            1. -9.5935773849487305e-01 1.4492283761501312e-01
-            -6.2346059083938599e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0697137832641602e+01</treeThreshold>
-          <internalNodes>
-            1 2 749 108. 0 -1 750 5.5000000000000000e+00 -2 -3 751
-            6.0050000000000000e+02</internalNodes>
-          <leafValues>
-            2.0598402619361877e-01 -3.1419786810874939e-01
-            7.0544409751892090e-01 -9.1675537824630737e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0869754791259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 752 2.1500000000000000e+01 0 -1 753
-            8.5000000000000000e+00 -2 -3 754 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2930352687835693e-01 1. 1.7261737585067749e-01
-            -7.1494102478027344e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0861036300659180e+01</treeThreshold>
-          <internalNodes>
-            1 2 755 5.0000000000000000e-01 0 -1 756
-            6.5000000000000000e+00 -2 -3 757 36104.</internalNodes>
-          <leafValues>
-            -9.8012816905975342e-01 3.0874124169349670e-01
-            -4.9350947141647339e-01 1.4333745837211609e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0605552673339844e+01</treeThreshold>
-          <internalNodes>
-            1 2 758 5.4500000000000000e+01 0 -1 759
-            5.6350000000000000e+02 -2 -3 760 1.5625000000000000e+03</internalNodes>
-          <leafValues>
-            2.8180310130119324e-01 -3.0899211764335632e-01
-            6.7988240718841553e-01 -8.8957315683364868e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0792449951171875e+01</treeThreshold>
-          <internalNodes>
-            1 2 761 7.4500000000000000e+01 0 -1 762
-            2.1350000000000000e+02 -2 -3 763 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.5075513124465942e-01 -8.8623046875000000e-01
-            4.6418187022209167e-01 -9.8970189690589905e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.0991796493530273e+01</treeThreshold>
-          <internalNodes>
-            1 2 764 3985. 0 -1 765 5.5000000000000000e+00 -2 -3 766
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1011736392974854e-01 -2.7613282203674316e-01 -1.
-            8.9613044261932373e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1320064544677734e+01</treeThreshold>
-          <internalNodes>
-            1 2 767 2.8500000000000000e+01 0 -1 768
-            2.6250000000000000e+02 -2 -3 769 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            7.0724177360534668e-01 -4.7540894150733948e-01
-            3.2826820015907288e-01 -6.3711547851562500e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1143175125122070e+01</treeThreshold>
-          <internalNodes>
-            1 2 770 1.7500000000000000e+01 0 -1 771
-            5.8500000000000000e+01 -2 -3 772 7704.</internalNodes>
-          <leafValues>
-            -6.2765136361122131e-02 4.9819609522819519e-01
-            1.8703785538673401e-01 -9.2927688360214233e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1136123657226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 773 4.5000000000000000e+00 0 -1 774
-            1.5000000000000000e+00 -2 -3 775 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5042881965637207e-01 3.7720718979835510e-01
-            -6.6263186931610107e-01 -7.0531466044485569e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.0957967758178711e+01</treeThreshold>
-          <internalNodes>
-            1 2 776 2.3355000000000000e+03 0 -1 777
-            1.6655000000000000e+03 -2 -3 778 7.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8912044763565063e-01 7.2663074731826782e-01
-            7.1329838037490845e-01 -9.2555418610572815e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1328319549560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 779 4.5000000000000000e+00 0 -1 780
-            1.7500000000000000e+01 -2 -3 781 116.</internalNodes>
-          <leafValues>
-            5.8393400907516479e-01 -5.6582391262054443e-01
-            -7.0427477359771729e-01 -3.2516807317733765e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1190340042114258e+01</treeThreshold>
-          <internalNodes>
-            1 2 782 5.0000000000000000e-01 0 -1 783
-            5.5000000000000000e+00 -2 -3 784 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9387390613555908e-01 4.3818581104278564e-01
-            -4.3716219067573547e-01 2.7609312534332275e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1414947509765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 785 1.7500000000000000e+01 0 -1 786
-            2.0500000000000000e+01 -2 -3 787 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2550397515296936e-01 2.9646944999694824e-01
-            3.9801727980375290e-02 -8.1744748353958130e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1027912139892578e+01</treeThreshold>
-          <internalNodes>
-            1 2 788 3.5000000000000000e+00 0 -1 789
-            1.0500000000000000e+01 -2 -3 790 3.0015000000000000e+03</internalNodes>
-          <leafValues>
-            -5.8203905820846558e-01 3.9097124338150024e-01
-            4.4877341389656067e-01 -4.5889684557914734e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1614578247070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 791 1.2545000000000000e+03 0 -1 792
-            5.0000000000000000e-01 -2 -3 793 21.</internalNodes>
-          <leafValues>
-            3.3954218029975891e-01 -3.9357089996337891e-01
-            -7.9993861913681030e-01 5.8666568994522095e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2001014709472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 794 1.5495000000000000e+03 0 -1 795 751. -2 -3 796
-            1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1558878421783447e-01 4.7567668557167053e-01
-            3.8643726706504822e-01 -4.9177539348602295e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2125329971313477e+01</treeThreshold>
-          <internalNodes>
-            1 2 797 3.5500000000000000e+01 0 -1 798
-            1.0450000000000000e+02 -2 -3 799 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7887133359909058e-01 -8.5177820920944214e-01
-            4.1519433259963989e-01 -1.6076141595840454e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2388074874877930e+01</treeThreshold>
-          <internalNodes>
-            1 2 800 550. 0 -1 801 3445. -2 -3 802 2.1850000000000000e+02</internalNodes>
-          <leafValues>
-            1. -8.8448894023895264e-01 -2.4786205589771271e-01
-            2.6274520158767700e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2539171218872070e+01</treeThreshold>
-          <internalNodes>
-            1 2 803 116554. 0 -1 804 1.7350000000000000e+02 -2 -3 805
-            8.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4936345219612122e-01 -6.2610012292861938e-01
-            -6.6242986917495728e-01 4.0655055642127991e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2177883148193359e+01</treeThreshold>
-          <internalNodes>
-            1 2 806 4.5000000000000000e+00 0 -1 807
-            5.0000000000000000e-01 -2 -3 808 3.5065000000000000e+03</internalNodes>
-          <leafValues>
-            -7.4715948104858398e-01 3.9860600233078003e-01
-            -5.3111910820007324e-01 1.2362924218177795e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2504861831665039e+01</treeThreshold>
-          <internalNodes>
-            1 2 809 1.4865000000000000e+03 0 -1 810
-            5.0000000000000000e-01 -2 -3 811 29.</internalNodes>
-          <leafValues>
-            1.3726322352886200e-01 -6.5520441532135010e-01
-            -7.5685930252075195e-01 3.2698005437850952e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2686376571655273e+01</treeThreshold>
-          <internalNodes>
-            1 2 812 5.2500000000000000e+01 0 -1 813
-            2.6500000000000000e+01 -2 -3 814 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.5744365751743317e-01 5.0805997848510742e-01
-            -7.4109727144241333e-01 3.1853440403938293e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2791370391845703e+01</treeThreshold>
-          <internalNodes>
-            1 2 815 2.3450000000000000e+02 0 -1 816
-            2.5000000000000000e+00 -2 -3 817 147638.</internalNodes>
-          <leafValues>
-            -8.8153153657913208e-02 5.4080992937088013e-01
-            4.0426537394523621e-01 -6.1521077156066895e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2746583938598633e+01</treeThreshold>
-          <internalNodes>
-            1 2 818 2.2500000000000000e+01 0 -1 819
-            3.7650000000000000e+02 -2 -3 820 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.3446598052978516e-01 -8.2142156362533569e-01
-            6.4422589540481567e-01 -4.4787917286157608e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.2948705673217773e+01</treeThreshold>
-          <internalNodes>
-            1 2 821 1.0500000000000000e+01 0 -1 822 201. -2 -3 823
-            6.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.8939151763916016e-01 3.3829051256179810e-01
-            -5.8153116703033447e-01 3.8105338811874390e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2919631958007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 824 4.5000000000000000e+00 0 -1 825
-            5.2075000000000000e+03 -2 -3 826 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            6.2978500127792358e-01 -1.7962990701198578e-01
-            -6.0869598388671875e-01 -2.9075229540467262e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.3112272262573242e+01</treeThreshold>
-          <internalNodes>
-            1 2 827 456. 0 -1 828 2.1500000000000000e+01 -2 -3 829 271.</internalNodes>
-          <leafValues>
-            -6.7311352491378784e-01 1.9264096021652222e-01
-            -7.6656156778335571e-01 7.5126051902770996e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3314619064331055e+01</treeThreshold>
-          <internalNodes>
-            1 2 830 9.5000000000000000e+00 0 -1 831 62. -2 -3 832
-            1.0250000000000000e+02</internalNodes>
-          <leafValues>
-            5.3542816638946533e-01 -7.8225767612457275e-01
-            -4.1664305329322815e-01 2.2309158742427826e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3092792510986328e+01</treeThreshold>
-          <internalNodes>
-            1 2 833 1.6245000000000000e+03 0 -1 834
-            2.1405000000000000e+03 -2 -3 835 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6887971162796021e-01 -7.8312724828720093e-01
-            3.3704435825347900e-01 -2.2182606160640717e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3098850250244141e+01</treeThreshold>
-          <internalNodes>
-            1 2 836 5.7500000000000000e+01 0 -1 837 30. -2 -3 838
-            1.1750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.9047434926033020e-01 7.0053535699844360e-01
-            6.3777458667755127e-01 -1.5085510909557343e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3334737777709961e+01</treeThreshold>
-          <internalNodes>
-            1 2 839 1.9350000000000000e+02 0 -1 840 20715. -2 -3 841
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.6165058314800262e-01 5.8560174703598022e-01
-            6.2762081623077393e-02 -5.0060212612152100e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3548194885253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 842 1.5500000000000000e+01 0 -1 843
-            4.5000000000000000e+00 -2 -3 844 318.</internalNodes>
-          <leafValues>
-            6.7111068964004517e-01 -8.1105804443359375e-01
-            2.1345792710781097e-01 -6.4082610607147217e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3465780258178711e+01</treeThreshold>
-          <internalNodes>
-            1 2 845 1.5000000000000000e+00 0 -1 846
-            9.6250000000000000e+02 -2 -3 847 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3311456441879272e-01 -7.9367685317993164e-01
-            5.8400928974151611e-01 -8.2414992153644562e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.3698833465576172e+01</treeThreshold>
-          <internalNodes>
-            1 2 848 2.5750000000000000e+02 0 -1 849
-            2.0622500000000000e+04 -2 -3 850 133.</internalNodes>
-          <leafValues>
-            -2.1840496361255646e-01 6.1215102672576904e-01
-            7.2797334194183350e-01 -7.8106528520584106e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4240703582763672e+01</treeThreshold>
-          <internalNodes>
-            1 2 851 62616. 0 -1 852 5.1750000000000000e+02 -2 -3 853
-            2.0985000000000000e+03</internalNodes>
-          <leafValues>
-            -7.3088161647319794e-02 5.4187005758285522e-01
-            -9.7861820459365845e-01 8.4708303213119507e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4200925827026367e+01</treeThreshold>
-          <internalNodes>
-            1 2 854 13008. 0 -1 855 1571. -2 -3 856 45.</internalNodes>
-          <leafValues>
-            6.6456145048141479e-01 -3.9776403456926346e-02
-            -8.6307746171951294e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.4082960128784180e+01</treeThreshold>
-          <internalNodes>
-            1 2 857 3.5000000000000000e+00 0 -1 858
-            9.5000000000000000e+00 -2 -3 859 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1. 2.9574161767959595e-01 -2.3182141780853271e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4084737777709961e+01</treeThreshold>
-          <internalNodes>
-            1 2 860 3.7500000000000000e+01 0 -1 861 245. -2 -3 862
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1369399428367615e-01 -4.1193068027496338e-01
-            5.4411876201629639e-01 -1.9174022972583771e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3971153259277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 863 7.2500000000000000e+01 0 -1 864
-            2.5500000000000000e+01 -2 -3 865 5620.</internalNodes>
-          <leafValues>
-            4.0953439474105835e-01 -7.1287387609481812e-01
-            2.9135236144065857e-01 -4.4266882538795471e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4037570953369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 866 2.4500000000000000e+01 0 -1 867
-            2.1500000000000000e+01 -2 -3 868 1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.6728180646896362e-01 8.0503904819488525e-01
-            2.9000800848007202e-01 -3.3851844072341919e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4266254425048828e+01</treeThreshold>
-          <internalNodes>
-            1 2 869 5.0000000000000000e-01 0 -1 870
-            1.7250000000000000e+02 -2 -3 871 2.2350000000000000e+02</internalNodes>
-          <leafValues>
-            4.8248341679573059e-01 -3.8941776752471924e-01
-            -3.1365787982940674e-01 5.1915067434310913e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4528257369995117e+01</treeThreshold>
-          <internalNodes>
-            1 2 872 4.3500000000000000e+01 0 -1 873 38. -2 -3 874
-            1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            8.9310199022293091e-02 -7.2979074716567993e-01
-            -8.7608027458190918e-01 2.6200246810913086e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4948534011840820e+01</treeThreshold>
-          <internalNodes>
-            1 2 875 1.7500000000000000e+01 0 -1 876
-            5.0000000000000000e-01 -2 -3 877 1.9050000000000000e+02</internalNodes>
-          <leafValues>
-            1.2763984501361847e-01 -6.1743724346160889e-01
-            4.2027613520622253e-01 -3.6524018645286560e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4699710845947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 878 1.5500000000000000e+01 0 -1 879
-            9.5000000000000000e+00 -2 -3 880 1.1950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.6706290245056152e-01 4.8537570238113403e-01
-            -5.4855662584304810e-01 8.2174651324748993e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4984062194824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 881 1.5000000000000000e+00 0 -1 882
-            1.4500000000000000e+01 -2 -3 883 7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.5929491519927979e-01 2.8435263037681580e-01
-            -5.6600302457809448e-01 1.5080869197845459e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5305467605590820e+01</treeThreshold>
-          <internalNodes>
-            1 2 884 1.5000000000000000e+00 0 -1 885
-            1.4500000000000000e+01 -2 -3 886 5.2150000000000000e+02</internalNodes>
-          <leafValues>
-            3.2140514254570007e-01 -7.5512856245040894e-01
-            -5.6036186218261719e-01 1.1670445650815964e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5274513244628906e+01</treeThreshold>
-          <internalNodes>
-            1 2 887 1.9500000000000000e+01 0 -1 888
-            1.0650000000000000e+02 -2 -3 889 8.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7158387899398804e-01 4.3117862939834595e-01
-            1.4426548779010773e-01 -4.6586552262306213e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4883895874023438e+01</treeThreshold>
-          <internalNodes>
-            1 2 890 3.0650000000000000e+02 0 -1 891
-            5.0000000000000000e-01 -2 -3 892 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8699711561203003e-01 -3.9061647653579712e-01
-            -7.0082974433898926e-01 6.7297667264938354e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5504806518554688e+01</treeThreshold>
-          <internalNodes>
-            1 2 893 5.0000000000000000e-01 0 -1 894
-            3.1151500000000000e+04 -2 -3 895 500.</internalNodes>
-          <leafValues>
-            6.5120726823806763e-01 -4.1004878282546997e-01
-            -4.7606337070465088e-01 9.5995731651782990e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.5152439117431641e+01</treeThreshold>
-          <internalNodes>
-            1 2 896 5.5000000000000000e+00 0 -1 897
-            1.9500000000000000e+01 -2 -3 898 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.2321064621210098e-01 6.1841166019439697e-01
-            -3.6375361680984497e-01 5.2369672060012817e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5155344009399414e+01</treeThreshold>
-          <internalNodes>
-            1 2 899 1.8674500000000000e+04 0 -1 900
-            2.1850000000000000e+02 -2 -3 901 8562.</internalNodes>
-          <leafValues>
-            -1.6005823388695717e-02 6.5699905157089233e-01
-            -9.5848602056503296e-01 5.1249152421951294e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5483896255493164e+01</treeThreshold>
-          <internalNodes>
-            1 2 902 9.1500000000000000e+01 0 -1 903
-            5.4500000000000000e+01 -2 -3 904 1673.</internalNodes>
-          <leafValues>
-            -1.8930622935295105e-01 3.2855287194252014e-01
-            3.8335686922073364e-01 -9.2048138380050659e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5274023056030273e+01</treeThreshold>
-          <internalNodes>
-            1 2 905 9.0500000000000000e+01 0 -1 906
-            2.9500000000000000e+01 -2 -3 907 161.</internalNodes>
-          <leafValues>
-            1.9278690218925476e-01 -4.3163070082664490e-01
-            -8.2271754741668701e-01 6.6138559579849243e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5197338104248047e+01</treeThreshold>
-          <internalNodes>
-            1 2 908 6.0500000000000000e+01 0 -1 909
-            3.5000000000000000e+00 -2 -3 910 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6147840023040771e-01 -7.2664386034011841e-01
-            6.0210800170898438e-01 -7.6684340834617615e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.5375751495361328e+01</treeThreshold>
-          <internalNodes>
-            1 2 911 1.2500000000000000e+01 0 -1 912
-            1.0500000000000000e+01 -2 -3 913 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1757584214210510e-01 -9.6368086338043213e-01
-            3.0798566341400146e-01 -2.2424852848052979e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5239341735839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 914 2.0500000000000000e+01 0 -1 915
-            5.0000000000000000e-01 -2 -3 916 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4820358753204346e-01 -2.6598191261291504e-01
-            6.2160044908523560e-01 -6.1119222640991211e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5769451141357422e+01</treeThreshold>
-          <internalNodes>
-            1 2 917 8.5000000000000000e+00 0 -1 918
-            3.5000000000000000e+00 -2 -3 919 785.</internalNodes>
-          <leafValues>
-            -5.2361053228378296e-01 1.3663402758538723e-02
-            5.3010904788970947e-01 -5.6690508127212524e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6132120132446289e+01</treeThreshold>
-          <internalNodes>
-            1 2 920 3.5000000000000000e+00 0 -1 921
-            5.5000000000000000e+00 -2 -3 922 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.4756454825401306e-01 6.6776388883590698e-01
-            -3.2966667413711548e-01 3.6266979575157166e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5398084640502930e+01</treeThreshold>
-          <internalNodes>
-            1 2 923 3.7500000000000000e+01 0 -1 924
-            4.5450000000000000e+02 -2 -3 925 76.</internalNodes>
-          <leafValues>
-            -5.9789156913757324e-01 2.5262823700904846e-01
-            -7.3403567075729370e-01 2.0674343407154083e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5510837554931641e+01</treeThreshold>
-          <internalNodes>
-            1 2 926 11321. 0 -1 927 2.5000000000000000e+00 -2 -3 928
-            1.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3973264694213867e-01 1.1275193840265274e-01
-            -9.1843432188034058e-01 8.7821447849273682e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6130455017089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 929 6.5000000000000000e+00 0 -1 930 3083. -2 -3 931
-            3.0875000000000000e+03</internalNodes>
-          <leafValues>
-            4.2603471875190735e-01 -3.6732077598571777e-01
-            -4.1711282730102539e-01 6.1961770057678223e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6262090682983398e+01</treeThreshold>
-          <internalNodes>
-            1 2 932 17935. 0 -1 933 425. -2 -3 934
-            2.7176500000000000e+04</internalNodes>
-          <leafValues>
-            4.5509326457977295e-01 -6.6757386922836304e-01
-            -5.3166776895523071e-01 1.3163578510284424e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6658596038818359e+01</treeThreshold>
-          <internalNodes>
-            1 2 935 1.7500000000000000e+01 0 -1 936
-            1.1745000000000000e+03 -2 -3 937 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.5388157367706299e-01 -7.9901087284088135e-01
-            4.5095619559288025e-01 -1.0241491347551346e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6969305038452148e+01</treeThreshold>
-          <internalNodes>
-            1 2 938 3.0500000000000000e+01 0 -1 939
-            2.4500000000000000e+01 -2 -3 940 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1047235727310181e-02 -8.9242154359817505e-01
-            3.1070950627326965e-01 -2.6842564344406128e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6705583572387695e+01</treeThreshold>
-          <internalNodes>
-            1 2 941 1.3050000000000000e+02 0 -1 942
-            3.4500000000000000e+01 -2 -3 943 2.2150000000000000e+02</internalNodes>
-          <leafValues>
-            -1.1592853814363480e-01 -7.7454018592834473e-01
-            4.5384824275970459e-01 -3.1817260384559631e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6782285690307617e+01</treeThreshold>
-          <internalNodes>
-            1 2 944 1.7735000000000000e+03 0 -1 945
-            9.5000000000000000e+00 -2 -3 946 4.5705000000000000e+03</internalNodes>
-          <leafValues>
-            -3.9006590843200684e-02 -9.5107847452163696e-01
-            -6.5736269950866699e-01 1.7125985026359558e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7105680465698242e+01</treeThreshold>
-          <internalNodes>
-            1 2 947 1.7625000000000000e+03 0 -1 948
-            1.3850000000000000e+02 -2 -3 949 1.9750000000000000e+02</internalNodes>
-          <leafValues>
-            3.6351567506790161e-01 -5.5703014135360718e-01
-            1.4079628884792328e-01 -5.2406501770019531e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7263711929321289e+01</treeThreshold>
-          <internalNodes>
-            1 2 950 2.5000000000000000e+00 0 -1 951
-            5.1850000000000000e+02 -2 -3 952 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5141850709915161e-01 -9.1679638624191284e-01
-            2.9593178629875183e-01 -2.6542136073112488e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6919979095458984e+01</treeThreshold>
-          <internalNodes>
-            1 2 953 1286. 0 -1 954 5.0500000000000000e+01 -2 -3 955
-            9549.</internalNodes>
-          <leafValues>
-            2.3069593310356140e-01 -3.4373316168785095e-01
-            7.6501649618148804e-01 -1.6475467383861542e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7302589416503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 956 3.0500000000000000e+01 0 -1 957
-            3.5000000000000000e+00 -2 -3 958 20.</internalNodes>
-          <leafValues>
-            4.2295122146606445e-01 -5.0685709714889526e-01
-            -6.1503076553344727e-01 3.8261166214942932e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7030504226684570e+01</treeThreshold>
-          <internalNodes>
-            1 2 959 1.5000000000000000e+00 0 -1 960
-            4.2500000000000000e+01 -2 -3 961 7879.</internalNodes>
-          <leafValues>
-            -8.3279174566268921e-01 3.1151020526885986e-01
-            5.7181537151336670e-01 -4.0998581051826477e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7195131301879883e+01</treeThreshold>
-          <internalNodes>
-            1 2 962 1.9550000000000000e+02 0 -1 963
-            9.7500000000000000e+01 -2 -3 964 1.7450000000000000e+02</internalNodes>
-          <leafValues>
-            1.7131289839744568e-01 -7.6953160762786865e-01
-            -8.5992205142974854e-01 9.4537514448165894e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7257419586181641e+01</treeThreshold>
-          <internalNodes>
-            1 2 965 5.1150000000000000e+02 0 -1 966
-            2.3335000000000000e+03 -2 -3 967 37646.</internalNodes>
-          <leafValues>
-            -5.3452479839324951e-01 5.5600736290216446e-02
-            9.5302796363830566e-01 -8.5994201898574829e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7456840515136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 968 2.7500000000000000e+01 0 -1 969
-            4.5000000000000000e+00 -2 -3 970 3.2250000000000000e+02</internalNodes>
-          <leafValues>
-            2.6460289955139160e-01 -3.8417342305183411e-01
-            4.4693005084991455e-01 -8.1004393100738525e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7806034088134766e+01</treeThreshold>
-          <internalNodes>
-            1 2 971 2.3500000000000000e+01 0 -1 972
-            7.6500000000000000e+01 -2 -3 973 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5745208263397217e-01 3.4919399023056030e-01
-            3.5557851195335388e-01 -5.3877633810043335e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7538705825805664e+01</treeThreshold>
-          <internalNodes>
-            1 2 974 7.9500000000000000e+01 0 -1 975
-            1.4500000000000000e+01 -2 -3 976 87.</internalNodes>
-          <leafValues>
-            2.8678986430168152e-01 -2.9876446723937988e-01
-            8.6640423536300659e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.7824981689453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 977 2.5550000000000000e+02 0 -1 978
-            4.5000000000000000e+00 -2 -3 979 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7033209800720215e-01 -5.0700926780700684e-01
-            -6.5432757139205933e-01 3.9897635579109192e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8039585113525391e+01</treeThreshold>
-          <internalNodes>
-            1 2 980 8.5500000000000000e+01 0 -1 981
-            1.2500000000000000e+01 -2 -3 982 2.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.3840378522872925e-01 2.1460363268852234e-01
-            -7.5958758592605591e-01 3.2656311988830566e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8358228683471680e+01</treeThreshold>
-          <internalNodes>
-            1 2 983 2.5000000000000000e+00 0 -1 984 154. -2 -3 985
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8448559939861298e-01 -8.2974767684936523e-01
-            3.1864368915557861e-01 -2.1115814149379730e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7895002365112305e+01</treeThreshold>
-          <internalNodes>
-            1 2 986 1.5500000000000000e+01 0 -1 987 3760. -2 -3 988
-            7.4650000000000000e+02</internalNodes>
-          <leafValues>
-            5.6718933582305908e-01 -4.6322652697563171e-01
-            -1.5654714405536652e-01 4.8763912916183472e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8411203384399414e+01</treeThreshold>
-          <internalNodes>
-            1 2 989 3.6500000000000000e+01 0 -1 990
-            5.5000000000000000e+00 -2 -3 991 177.</internalNodes>
-          <leafValues>
-            1.9065493345260620e-01 -4.4433963298797607e-01
-            5.1620143651962280e-01 -6.8428224325180054e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8243703842163086e+01</treeThreshold>
-          <internalNodes>
-            1 2 992 2.2550000000000000e+02 0 -1 993
-            1.0702500000000000e+04 -2 -3 994 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            9.7185559570789337e-02 -8.7033015489578247e-01
-            2.9659673571586609e-01 -4.0642136335372925e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8063882827758789e+01</treeThreshold>
-          <internalNodes>
-            1 2 995 1.1500000000000000e+01 0 -1 996 29. -2 -3 997
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1. 3.6489042639732361e-01 -1.7982187867164612e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8595172882080078e+01</treeThreshold>
-          <internalNodes>
-            1 2 998 3.4500000000000000e+01 0 -1 999
-            3.2500000000000000e+01 -2 -3 1000 1.1750000000000000e+02</internalNodes>
-          <leafValues>
-            7.5150117278099060e-02 -5.3011858463287354e-01
-            -3.1684866547584534e-01 5.3129112720489502e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8468202590942383e+01</treeThreshold>
-          <internalNodes>
-            1 2 1001 1.6628500000000000e+04 0 -1 1002
-            1.0500000000000000e+01 -2 -3 1003 3.3545000000000000e+03</internalNodes>
-          <leafValues>
-            6.4890080690383911e-01 -6.3209486007690430e-01
-            6.6508811712265015e-01 -1.2697088718414307e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8374160766601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1004 8.5000000000000000e+00 0 -1 1005
-            8.5000000000000000e+00 -2 -3 1006 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2094990015029907e-01 -9.4638687372207642e-01
-            4.4523945450782776e-01 -9.4041898846626282e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.8551000595092773e+01</treeThreshold>
-          <internalNodes>
-            1 2 1007 3.1950000000000000e+02 0 -1 1008
-            6.6500000000000000e+01 -2 -3 1009 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.6274866461753845e-02 -9.6256363391876221e-01
-            -4.5958206057548523e-01 1.7684090137481689e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8745084762573242e+01</treeThreshold>
-          <internalNodes>
-            1 2 1010 1.2350000000000000e+02 0 -1 1011
-            5.5000000000000000e+00 -2 -3 1012 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1710654497146606e-01 1.9408319890499115e-01
-            -6.5851712226867676e-01 6.5294885635375977e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8799137115478516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1013 1.5000000000000000e+00 0 -1 1014 6367. -2 -3 1015
-            4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.7579481601715088e-01 6.5927535295486450e-01
-            3.2614521682262421e-02 -5.5185180902481079e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9203039169311523e+01</treeThreshold>
-          <internalNodes>
-            1 2 1016 4.8500000000000000e+01 0 -1 1017 1563. -2 -3 1018
-            174.</internalNodes>
-          <leafValues>
-            -1.8832503259181976e-01 8.4307962656021118e-01
-            6.7039912939071655e-01 -9.4139146804809570e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8794641494750977e+01</treeThreshold>
-          <internalNodes>
-            1 2 1019 3.3355000000000000e+03 0 -1 1020
-            6.6555000000000000e+03 -2 -3 1021 8.7150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.0944504737854004e-01 4.4833663105964661e-01
-            -4.0839809179306030e-01 1.7850229144096375e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8677459716796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1022 1.2185000000000000e+03 0 -1 1023
-            8.2550000000000000e+02 -2 -3 1024 3.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -3.4955474734306335e-01 6.4450144767761230e-01
-            6.0581982135772705e-01 -1.1718237400054932e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8913532257080078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1025 2.7500000000000000e+01 0 -1 1026
-            2.7500000000000000e+01 -2 -3 1027 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5049676895141602e-01 2.3607361316680908e-01
-            7.3098081350326538e-01 -6.9291877746582031e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9108362197875977e+01</treeThreshold>
-          <internalNodes>
-            1 2 1028 7.5000000000000000e+00 0 -1 1029
-            9.5000000000000000e+00 -2 -3 1030 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3998674154281616e-01 3.6129420995712280e-01
-            9.7287259995937347e-02 -5.4456633329391479e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8601478576660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1031 6.9500000000000000e+01 0 -1 1032 3194. -2 -3 1033
-            1194.</internalNodes>
-          <leafValues>
-            1.1185812205076218e-01 -5.0688385963439941e-01
-            -5.2819758653640747e-01 4.6284502744674683e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8964368820190430e+01</treeThreshold>
-          <internalNodes>
-            1 2 1034 2.5000000000000000e+00 0 -1 1035
-            3.5000000000000000e+00 -2 -3 1036 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.3642036914825439e-01 3.6289060115814209e-01
-            7.4139624834060669e-01 -4.1967025399208069e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9433172225952148e+01</treeThreshold>
-          <internalNodes>
-            1 2 1037 3.0500000000000000e+01 0 -1 1038
-            5.0000000000000000e-01 -2 -3 1039 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6465510725975037e-01 -3.9573243260383606e-01
-            -6.1006444692611694e-01 4.6880471706390381e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9406284332275391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1040 850. 0 -1 1041 8.3500000000000000e+01 -2 -3 1042
-            503.</internalNodes>
-          <leafValues>
-            -1.3215389847755432e-01 5.3341400623321533e-01
-            -6.0456317663192749e-01 1.4337512850761414e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9681335449218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1043 5.0000000000000000e-01 0 -1 1044
-            2.2500000000000000e+01 -2 -3 1045 7.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8528215885162354e-02 6.7735338211059570e-01
-            -4.3227946758270264e-01 2.7505078911781311e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9964553833007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1046 9.8500000000000000e+01 0 -1 1047
-            3.1500000000000000e+01 -2 -3 1048 2.7650000000000000e+02</internalNodes>
-          <leafValues>
-            2.8321748971939087e-01 -3.9361628890037537e-01
-            -8.2609468698501587e-01 2.6064848899841309e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9945455551147461e+01</treeThreshold>
-          <internalNodes>
-            1 2 1049 8.7500000000000000e+01 0 -1 1050
-            2.2385000000000000e+03 -2 -3 1051 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9241017103195190e-01 -1.5301111340522766e-01
-            -6.6095316410064697e-01 -1.9096992909908295e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0012765884399414e+01</treeThreshold>
-          <internalNodes>
-            1 2 1052 1.2500000000000000e+01 0 -1 1053
-            9.5000000000000000e+00 -2 -3 1054 5.0750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3019262552261353e-01 6.7893797159194946e-01
-            -1.2832325696945190e-01 4.3415006995201111e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9930473327636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1055 1.8500000000000000e+01 0 -1 1056
-            1.2500000000000000e+01 -2 -3 1057 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6613929271697998e-01 4.8394933342933655e-01
-            1.7974837124347687e-01 -4.4913277029991150e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0477281570434570e+01</treeThreshold>
-          <internalNodes>
-            1 2 1058 5.1950000000000000e+02 0 -1 1059
-            4.4500000000000000e+01 -2 -3 1060 114.</internalNodes>
-          <leafValues>
-            -7.6940767467021942e-02 5.4680854082107544e-01
-            -8.7260067462921143e-01 6.8811720609664917e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0773675918579102e+01</treeThreshold>
-          <internalNodes>
-            1 2 1061 1.0450000000000000e+02 0 -1 1062
-            2.8150000000000000e+02 -2 -3 1063 1125.</internalNodes>
-          <leafValues>
-            5.4583191871643066e-01 -5.2532721310853958e-02
-            -7.8279995918273926e-01 3.1823691725730896e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0351808547973633e+01</treeThreshold>
-          <internalNodes>
-            1 2 1064 3.5000000000000000e+00 0 -1 1065
-            1.5500000000000000e+01 -2 -3 1066 55.</internalNodes>
-          <leafValues>
-            -7.3623555898666382e-01 3.5894340276718140e-01
-            -4.2186784744262695e-01 4.3861863017082214e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0537498474121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1067 4307. 0 -1 1068 1160. -2 -3 1069
-            2.1660500000000000e+04</internalNodes>
-          <leafValues>
-            -7.8279590606689453e-01 4.5567861199378967e-01
-            1.8568974733352661e-01 -8.9434182643890381e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0696584701538086e+01</treeThreshold>
-          <internalNodes>
-            1 2 1070 4.4285000000000000e+03 0 -1 1071
-            5.0000000000000000e-01 -2 -3 1072 3.1735000000000000e+03</internalNodes>
-          <leafValues>
-            2.0552167296409607e-01 -4.5957171916961670e-01
-            7.2746735811233521e-01 -9.0351656079292297e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0743759155273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1073 3.7500000000000000e+01 0 -1 1074
-            9.5000000000000000e+00 -2 -3 1075 1.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -1.5780667960643768e-01 4.7251480817794800e-01
-            -6.7792648077011108e-01 4.7175608575344086e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0970186233520508e+01</treeThreshold>
-          <internalNodes>
-            1 2 1076 3.3550000000000000e+02 0 -1 1077
-            1.5850000000000000e+02 -2 -3 1078 6.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2642576694488525e-01 -7.5154268741607666e-01
-            -7.6098370552062988e-01 -2.8098121285438538e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0785564422607422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1079 3.5000000000000000e+00 0 -1 1080
-            1.0750000000000000e+02 -2 -3 1081 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1. 3.4101343154907227e-01 -1.8462051451206207e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0677804946899414e+01</treeThreshold>
-          <internalNodes>
-            1 2 1082 1.8745000000000000e+03 0 -1 1083 8. -2 -3 1084
-            2.7950000000000000e+02</internalNodes>
-          <leafValues>
-            3.8025709986686707e-01 -9.3898135423660278e-01
-            4.3168732523918152e-01 -1.0776055604219437e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1114505767822266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1085 1.2235000000000000e+03 0 -1 1086 502. -2 -3 1087
-            1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.4203383326530457e-01 8.8017475605010986e-01
-            -6.2440735101699829e-01 4.3670186400413513e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0781503677368164e+01</treeThreshold>
-          <internalNodes>
-            1 2 1088 1.0765000000000000e+03 0 -1 1089
-            1.4445000000000000e+03 -2 -3 1090 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.0597463697195053e-01 5.4891431331634521e-01
-            2.9310002923011780e-01 -3.9375761151313782e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1352016448974609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1091 5.2500000000000000e+01 0 -1 1092
-            1.5000000000000000e+00 -2 -3 1093 272.</internalNodes>
-          <leafValues>
-            6.0849022865295410e-01 -2.5873470306396484e-01
-            5.7051157951354980e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.1657224655151367e+01</treeThreshold>
-          <internalNodes>
-            1 2 1094 5.5000000000000000e+00 0 -1 1095
-            1.6500000000000000e+01 -2 -3 1096 30152.</internalNodes>
-          <leafValues>
-            -9.6481657028198242e-01 8.0561167001724243e-01
-            4.4867545366287231e-01 -1.1930578947067261e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1797657012939453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1097 4.5000000000000000e+00 0 -1 1098
-            1.4500000000000000e+01 -2 -3 1099 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8230931758880615e-01 6.5411078929901123e-01
-            4.3631002306938171e-02 -7.3598957061767578e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1739580154418945e+01</treeThreshold>
-          <internalNodes>
-            1 2 1100 6.5000000000000000e+00 0 -1 1101
-            3.5000000000000000e+00 -2 -3 1102 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6922503113746643e-01 -9.2841345071792603e-01
-            -5.8075804263353348e-02 5.9674555063247681e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2161308288574219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1103 5.0000000000000000e-01 0 -1 1104
-            1.5500000000000000e+01 -2 -3 1105 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3271411657333374e-01 4.2172768712043762e-01
-            1.8879570066928864e-01 -4.8092129826545715e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1522403717041016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1106 1.7500000000000000e+01 0 -1 1107
-            3.5000000000000000e+00 -2 -3 1108 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1741237044334412e-01 -6.3890427350997925e-01
-            -2.4483518302440643e-01 3.4861907362937927e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1028701782226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1109 1.6500000000000000e+01 0 -1 1110
-            7.5500000000000000e+01 -2 -3 1111 1.5595000000000000e+03</internalNodes>
-          <leafValues>
-            2.1001176536083221e-01 -5.4036855697631836e-01
-            8.2853209972381592e-01 -6.6984134912490845e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0648044586181641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1112 1.3500000000000000e+01 0 -1 1113
-            5.0000000000000000e-01 -2 -3 1114 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.0337771624326706e-02 -6.9217932224273682e-01
-            3.1262809038162231e-01 -3.8065665960311890e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0457332611083984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1115 1.0425000000000000e+03 0 -1 1116
-            2.1105000000000000e+03 -2 -3 1117 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            8.5383254289627075e-01 -9.4994091987609863e-01
-            3.6234918236732483e-01 -1.9071219861507416e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0355703353881836e+01</treeThreshold>
-          <internalNodes>
-            1 2 1118 417. 0 -1 1119 47393. -2 -3 1120
-            1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4608249068260193e-01 -7.7895587682723999e-01
-            5.4214590787887573e-01 -1.0162991285324097e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0591539382934570e+01</treeThreshold>
-          <internalNodes>
-            1 2 1121 1.0505000000000000e+03 0 -1 1122
-            3.5000000000000000e+00 -2 -3 1123 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6039215922355652e-01 -8.2724225521087646e-01
-            2.3583582043647766e-01 -4.2682540416717529e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1194660186767578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1124 4.6185000000000000e+03 0 -1 1125
-            1.0500000000000000e+01 -2 -3 1126 1.9150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0647492408752441e-01 1.1079805344343185e-01
-            6.0312074422836304e-01 -8.1773541867733002e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0726728439331055e+01</treeThreshold>
-          <internalNodes>
-            1 2 1127 1.3500000000000000e+01 0 -1 1128
-            4.5000000000000000e+00 -2 -3 1129 4.1550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2268900871276855e-01 3.8671565055847168e-01
-            2.8028538823127747e-01 -4.6793088316917419e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1088666915893555e+01</treeThreshold>
-          <internalNodes>
-            1 2 1130 8.5000000000000000e+00 0 -1 1131
-            5.8445000000000000e+03 -2 -3 1132 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3040379639714956e-04 -9.1474950313568115e-01
-            3.6193940043449402e-01 -1.4911226928234100e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1474407196044922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1133 1.5500000000000000e+01 0 -1 1134
-            3.5000000000000000e+00 -2 -3 1135 1.2525000000000000e+03</internalNodes>
-          <leafValues>
-            6.4907115697860718e-01 -5.0786149501800537e-01
-            -2.0913411676883698e-01 3.8573962450027466e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1632471084594727e+01</treeThreshold>
-          <internalNodes>
-            1 2 1136 6.5000000000000000e+00 0 -1 1137
-            3.7500000000000000e+01 -2 -3 1138 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            6.3346821069717407e-01 -5.2402967214584351e-01
-            -4.6075040102005005e-01 1.5806287527084351e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1587083816528320e+01</treeThreshold>
-          <internalNodes>
-            1 2 1139 2.8950000000000000e+02 0 -1 1140
-            1.2865000000000000e+03 -2 -3 1141 8.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5387003570795059e-02 6.0369354486465454e-01
-            -8.8128578662872314e-01 1.6069179773330688e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1416742324829102e+01</treeThreshold>
-          <internalNodes>
-            1 2 1142 6.0500000000000000e+01 0 -1 1143 2554. -2 -3 1144
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.8986186981201172e-01 -7.9697668552398682e-01
-            4.0921381115913391e-01 -1.7034149169921875e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1597267150878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1145 7.5000000000000000e+00 0 -1 1146
-            1.2500000000000000e+01 -2 -3 1147 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0123994350433350e-01 9.0972447395324707e-01
-            1.8052530288696289e-01 -7.1117341518402100e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1853481292724609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1148 2.5000000000000000e+00 0 -1 1149
-            1.6500000000000000e+01 -2 -3 1150 50.</internalNodes>
-          <leafValues>
-            -4.6300759911537170e-01 2.5621402263641357e-01
-            -5.8134639263153076e-01 6.4391428232192993e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2041400909423828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1151 1.5000000000000000e+00 0 -1 1152
-            5.5000000000000000e+00 -2 -3 1153 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4350862503051758e-01 -6.5627163648605347e-01
-            -4.0067231655120850e-01 3.3987161517143250e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2274913787841797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1154 2.2500000000000000e+01 0 -1 1155 121. -2 -3 1156
-            4.0750000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6885540485382080e-01 2.3351371288299561e-01
-            6.7405563592910767e-01 -5.4761618375778198e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2459445953369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1157 2.1500000000000000e+01 0 -1 1158
-            1.2500000000000000e+01 -2 -3 1159 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8360142707824707e-01 2.5230798125267029e-01
-            1.1890246719121933e-01 -5.4317802190780640e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2713863372802734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1160 3.9500000000000000e+01 0 -1 1161
-            4.5000000000000000e+00 -2 -3 1162 2.2635000000000000e+03</internalNodes>
-          <leafValues>
-            4.9993959069252014e-01 -4.6222266554832458e-01
-            -8.2206004858016968e-01 2.5441682338714600e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2391437530517578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1163 1.8500000000000000e+01 0 -1 1164
-            2.2500000000000000e+01 -2 -3 1165 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3650416135787964e-01 2.8401935100555420e-01
-            2.4446329474449158e-01 -5.4215461015701294e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2313743591308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1166 2.1500000000000000e+01 0 -1 1167
-            4.4750000000000000e+02 -2 -3 1168 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.8188237547874451e-01 -7.0770967006683350e-01
-            5.1904022693634033e-01 -7.7693074941635132e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.2547096252441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1169 3.8500000000000000e+01 0 -1 1170
-            1.0500000000000000e+01 -2 -3 1171 5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1064568758010864e-01 2.3335392773151398e-01
-            -7.8815060853958130e-01 1.9936113059520721e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2640663146972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1172 2.5000000000000000e+00 0 -1 1173
-            5.5000000000000000e+00 -2 -3 1174 1330.</internalNodes>
-          <leafValues>
-            -4.3339151144027710e-01 4.2221209406852722e-01
-            -3.6630377173423767e-01 7.0252496004104614e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2781063079833984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1175 1.5000000000000000e+00 0 -1 1176
-            3.5000000000000000e+00 -2 -3 1177 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.3612757325172424e-01 -8.5796296596527100e-01
-            2.6683306694030762e-01 -2.6626828312873840e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3000972747802734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1178 2.8150000000000000e+02 0 -1 1179
-            1.5500000000000000e+01 -2 -3 1180 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4552884101867676e-01 -5.2619069814682007e-01
-            -3.2900866866111755e-01 4.3776753544807434e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3018821716308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1181 5.0000000000000000e-01 0 -1 1182
-            1.0500000000000000e+01 -2 -3 1183 2.6450000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9559688568115234e-01 7.7334856986999512e-01
-            5.2793127298355103e-01 -2.3107841610908508e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3071189880371094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1184 4.6025000000000000e+03 0 -1 1185
-            1.8500000000000000e+01 -2 -3 1186 6.8250000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4181526899337769e-01 5.9372335672378540e-01
-            4.7619059681892395e-01 -1.1885309964418411e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3085533142089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1187 1.6350000000000000e+02 0 -1 1188
-            2.7500000000000000e+01 -2 -3 1189 142.</internalNodes>
-          <leafValues>
-            -4.1260236501693726e-01 2.7891275286674500e-01
-            -7.0465636253356934e-01 7.5747251510620117e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3357414245605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1190 5.0000000000000000e-01 0 -1 1191
-            5.6500000000000000e+01 -2 -3 1192 5.2150000000000000e+02</internalNodes>
-          <leafValues>
-            6.4778029918670654e-01 -1.1932287365198135e-01
-            -4.1650903224945068e-01 2.5428086519241333e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3322494506835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1193 8.2350000000000000e+02 0 -1 1194
-            8.2650000000000000e+02 -2 -3 1195 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8512652497738600e-03 6.5731632709503174e-01
-            4.5999297499656677e-01 -6.2862813472747803e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3176986694335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1196 1.3500000000000000e+01 0 -1 1197 70. -2 -3 1198
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.6250026226043701e-01 7.0421558618545532e-01
-            3.7571212649345398e-01 -2.3801752924919128e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3435741424560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1199 58282. 0 -1 1200 913. -2 -3 1201
-            1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6440210342407227e-01 2.8217953443527222e-01
-            -8.7045669555664062e-01 -8.5198663175106049e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3617641448974609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1202 1.5000000000000000e+00 0 -1 1203
-            1.5000000000000000e+00 -2 -3 1204 1.7675000000000000e+03</internalNodes>
-          <leafValues>
-            -7.3653697967529297e-01 7.6336652040481567e-01
-            -2.4504181742668152e-01 5.5397576093673706e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3626171112060547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1205 3.5000000000000000e+00 0 -1 1206
-            1.5500000000000000e+01 -2 -3 1207 153.</internalNodes>
-          <leafValues>
-            -2.8129413723945618e-01 5.9369409084320068e-01
-            8.5296230390667915e-03 -6.9582235813140869e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3975147247314453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1208 5.0000000000000000e-01 0 -1 1209
-            1.0500000000000000e+01 -2 -3 1210 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0083674192428589e-01 3.4897685050964355e-01
-            -3.5385957360267639e-01 7.3448055982589722e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3426464080810547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1211 2.7950000000000000e+02 0 -1 1212
-            5.4975000000000000e+03 -2 -3 1213 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.4607962965965271e-01 7.2142803668975830e-01
-            1.4154955744743347e-01 -5.4868251085281372e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3620513916015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1214 1.1500000000000000e+01 0 -1 1215
-            2.5550000000000000e+02 -2 -3 1216 72.</internalNodes>
-          <leafValues>
-            5.8608335256576538e-01 -9.2741596698760986e-01
-            1.9404979050159454e-01 -6.2724816799163818e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3949718475341797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1217 1.9500000000000000e+01 0 -1 1218
-            2.6950000000000000e+02 -2 -3 1219 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2725256681442261e-02 -8.0563539266586304e-01
-            -4.9098122119903564e-01 3.2920604944229126e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3907009124755859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1220 2.5500000000000000e+01 0 -1 1221
-            5.0000000000000000e-01 -2 -3 1222 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.3421282768249512e-01 -4.2710851877927780e-02
-            -8.4883642196655273e-01 -6.9108068943023682e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4569347381591797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1223 3.4500000000000000e+01 0 -1 1224
-            4.5000000000000000e+00 -2 -3 1225 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8448584675788879e-01 -3.0913567543029785e-01
-            6.9974571466445923e-01 -7.2145628929138184e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4406383514404297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1226 4.7500000000000000e+01 0 -1 1227 82. -2 -3 1228
-            476.</internalNodes>
-          <leafValues>
-            -5.3745925426483154e-01 5.8132463693618774e-01
-            3.7321224808692932e-01 -6.0607558488845825e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4350345611572266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1229 4.5000000000000000e+00 0 -1 1230 161. -2 -3 1231
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.7543116807937622e-01 -9.4070035219192505e-01
-            7.6428997516632080e-01 -5.6036282330751419e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4673534393310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1232 1.2645000000000000e+03 0 -1 1233 1086. -2 -3 1234
-            9549.</internalNodes>
-          <leafValues>
-            -2.5683671236038208e-01 8.2724517583847046e-01
-            7.0296716690063477e-01 -3.6435613036155701e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5003284454345703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1235 1.2850000000000000e+02 0 -1 1236
-            8.6235000000000000e+03 -2 -3 1237 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9038841724395752e-01 3.4432813990861177e-03
-            -6.4016550779342651e-02 -9.3743759393692017e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5226799011230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1238 9.3500000000000000e+01 0 -1 1239 13. -2 -3 1240
-            4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7835944890975952e-01 3.3737751841545105e-01
-            -7.8561329841613770e-01 -3.7122413516044617e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.5086704254150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1241 6.5000000000000000e+00 0 -1 1242 786. -2 -3 1243
-            4.6850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7093526124954224e-01 4.2933362722396851e-01
-            -5.2467578649520874e-01 1.0233493894338608e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5434925079345703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1244 5.0650000000000000e+02 0 -1 1245
-            6.3500000000000000e+01 -2 -3 1246 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4057748317718506e-01 5.2575647830963135e-01
-            -5.7031583786010742e-01 4.1367042064666748e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5402851104736328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1247 5.0000000000000000e-01 0 -1 1248 857. -2 -3 1249
-            1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            6.1650615930557251e-01 -2.0817196369171143e-01
-            -2.5478323921561241e-02 -7.6659142971038818e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4968181610107422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1250 5.8500000000000000e+01 0 -1 1251
-            1.1500000000000000e+01 -2 -3 1252 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2099618464708328e-01 -4.4126412272453308e-01
-            6.0897779464721680e-01 -7.8737002611160278e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5193428039550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1253 4.7500000000000000e+01 0 -1 1254 1423. -2 -3 1255
-            3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8643037676811218e-02 -8.9261955022811890e-01
-            2.2524681687355042e-01 -6.2001824378967285e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5623695373535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1256 2.0500000000000000e+01 0 -1 1257
-            5.5000000000000000e+00 -2 -3 1258 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9247786998748779e-01 7.9152870178222656e-01
-            4.3026548624038696e-01 -1.4470897614955902e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5538761138916016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1259 18647. 0 -1 1260 8.7850000000000000e+02 -2 -3 1261
-            50.</internalNodes>
-          <leafValues>
-            1.3848523795604706e-01 -6.2565112113952637e-01
-            -3.0781137943267822e-01 5.9695762395858765e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5170146942138672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1262 2.0500000000000000e+01 0 -1 1263
-            9.5500000000000000e+01 -2 -3 1264 3.2450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9358770549297333e-01 5.9224104881286621e-01
-            -3.6861309409141541e-01 7.9692333936691284e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5719684600830078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1265 1.5000000000000000e+00 0 -1 1266
-            3.4500000000000000e+01 -2 -3 1267 1.7725000000000000e+03</internalNodes>
-          <leafValues>
-            5.4953765869140625e-01 -4.1827628016471863e-01
-            3.4924019128084183e-02 -6.3267588615417480e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6021175384521484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1268 1.3500000000000000e+01 0 -1 1269
-            5.0000000000000000e-01 -2 -3 1270 3476.</internalNodes>
-          <leafValues>
-            3.0730965733528137e-01 -7.1827191114425659e-01
-            -3.3407485485076904e-01 3.0149033665657043e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6000087738037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1271 2.1105000000000000e+03 0 -1 1272
-            1.2865000000000000e+03 -2 -3 1273 31.</internalNodes>
-          <leafValues>
-            -6.6124044358730316e-02 6.6440200805664062e-01
-            -7.0062541961669922e-01 8.8496291637420654e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6138973236083984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1274 6.5000000000000000e+00 0 -1 1275
-            4.0500000000000000e+01 -2 -3 1276 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.8909309804439545e-01 4.3955674767494202e-01
-            8.3517062664031982e-01 -5.2926576137542725e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6462543487548828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1277 1.5000000000000000e+00 0 -1 1278
-            1.9500000000000000e+01 -2 -3 1279 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2272623777389526e-01 -5.3356873989105225e-01
-            -4.3614375591278076e-01 1.6707921028137207e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6346103668212891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1280 5.4500000000000000e+01 0 -1 1281 3. -2 -3 1282
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.2645227909088135e-01 -9.1626834869384766e-01
-            4.3882593512535095e-01 -1.1643892526626587e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6447643280029297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1283 4.3500000000000000e+01 0 -1 1284
-            4.5000000000000000e+00 -2 -3 1285 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            2.8414136171340942e-01 -5.2052396535873413e-01
-            3.3975440263748169e-01 -4.2113724350929260e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6367126464843750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1286 2.2500000000000000e+01 0 -1 1287
-            1.0535000000000000e+03 -2 -3 1288 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4179165363311768e-01 -7.4734365940093994e-01
-            5.4282104969024658e-01 -8.0516710877418518e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6575954437255859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1289 2.5000000000000000e+00 0 -1 1290
-            1.5000000000000000e+00 -2 -3 1291 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8550149649381638e-02 -9.4949018955230713e-01
-            2.0882803201675415e-01 -4.6319213509559631e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6657161712646484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1292 1.6115000000000000e+03 0 -1 1293 3672. -2 -3 1294
-            545.</internalNodes>
-          <leafValues>
-            8.2763051986694336e-01 -4.8815292119979858e-01
-            -5.2512788772583008e-01 8.1207208335399628e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6598300933837891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1295 6.0500000000000000e+01 0 -1 1296
-            1.1250000000000000e+02 -2 -3 1297 1.5350000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8857690542936325e-02 4.7229456901550293e-01
-            -8.1495660543441772e-01 7.3461961746215820e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6517520904541016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1298 9.4500000000000000e+01 0 -1 1299
-            4.8500000000000000e+01 -2 -3 1300 235.</internalNodes>
-          <leafValues>
-            4.8253452777862549e-01 -8.0779984593391418e-02
-            -9.4696474075317383e-01 9.1954904794692993e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6136314392089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1301 7.6150000000000000e+02 0 -1 1302
-            1.3500000000000000e+01 -2 -3 1303 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.7050821781158447e-01 -6.8645346164703369e-01
-            1.8845686316490173e-01 -6.1942416429519653e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6255367279052734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1304 2.5500000000000000e+01 0 -1 1305
-            9.5000000000000000e+00 -2 -3 1306 2.4243500000000000e+04</internalNodes>
-          <leafValues>
-            -8.6751174926757812e-01 1. 1.1905297636985779e-01
-            -7.7261626720428467e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6847282409667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1307 2.5245000000000000e+03 0 -1 1308
-            1.2500000000000000e+01 -2 -3 1309 19.</internalNodes>
-          <leafValues>
-            1.8480798602104187e-01 -4.1162934899330139e-01
-            -7.0126670598983765e-01 5.9191262722015381e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6736129760742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1310 1.9500000000000000e+01 0 -1 1311
-            3.5000000000000000e+00 -2 -3 1312 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2743122577667236e-01 3.4077543020248413e-01
-            -5.2904611825942993e-01 6.4898627996444702e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7165416717529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1313 57. 0 -1 1314 7.5000000000000000e+00 -2 -3 1315
-            1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            -2.9288327693939209e-01 4.2928928136825562e-01
-            -5.1645982265472412e-01 3.7259963154792786e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6963829040527344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1316 1.5000000000000000e+00 0 -1 1317
-            1.5000000000000000e+00 -2 -3 1318 2.5550000000000000e+02</internalNodes>
-          <leafValues>
-            -4.8823645710945129e-01 6.1563092470169067e-01
-            6.7905879020690918e-01 -2.7743032574653625e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6947120666503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1319 1.1545000000000000e+03 0 -1 1320 2066. -2 -3 1321
-            7.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2975975275039673e-01 6.6057509183883667e-01
-            6.6289925575256348e-01 -1.6708238050341606e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6795619964599609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1322 63. 0 -1 1323 5.7500000000000000e+01 -2 -3 1324
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.5150213241577148e-01 3.7273296713829041e-01
-            -8.2537877559661865e-01 8.6949664354324341e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7259391784667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1325 1.0500000000000000e+01 0 -1 1326
-            1.6500000000000000e+01 -2 -3 1327 346.</internalNodes>
-          <leafValues>
-            4.6377313137054443e-01 -7.5801903009414673e-01
-            -3.5662418603897095e-01 9.6071028709411621e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7495296478271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1328 6.0500000000000000e+01 0 -1 1329
-            1.5500000000000000e+01 -2 -3 1330 2.6850000000000000e+02</internalNodes>
-          <leafValues>
-            5.3055459260940552e-01 -6.3604164123535156e-01
-            -6.7990607023239136e-01 2.4123270809650421e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7374149322509766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1331 2.5000000000000000e+00 0 -1 1332
-            1.3500000000000000e+01 -2 -3 1333 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0581423044204712e-01 5.8284395933151245e-01
-            3.0152860283851624e-01 -3.4942194819450378e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7766971588134766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1334 5.5000000000000000e+00 0 -1 1335 23. -2 -3 1336
-            3.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -9.5462155342102051e-01 1. 3.9282312989234924e-01
-            -1.1600174754858017e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8006900787353516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1337 3955. 0 -1 1338 1.6500000000000000e+01 -2 -3 1339
-            3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4476998448371887e-01 -5.3807318210601807e-01
-            -6.4139670133590698e-01 3.3075565099716187e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7836151123046875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1340 1.4500000000000000e+01 0 -1 1341
-            4.2050000000000000e+02 -2 -3 1342 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.6126942634582520e-02 -8.9179468154907227e-01
-            2.5128620862960815e-01 -4.3012529611587524e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7504901885986328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1343 3.5000000000000000e+00 0 -1 1344
-            2.1500000000000000e+01 -2 -3 1345 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9118273258209229e-01 5.3941005468368530e-01
-            4.0820264816284180e-01 -3.3124980330467224e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7869743347167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1346 8.5000000000000000e+00 0 -1 1347 8240. -2 -3 1348
-            1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.8303586402907968e-03 -7.9149729013442993e-01
-            3.6484044790267944e-01 -2.6800584793090820e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7688228607177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1349 1.2135000000000000e+03 0 -1 1350 75. -2 -3 1351
-            5.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.7686902284622192e-01 5.8311319351196289e-01
-            7.0945566892623901e-01 -1.8151518702507019e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7513351440429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1352 3.5000000000000000e+00 0 -1 1353 35. -2 -3 1354
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.6617668867111206e-01 1. 4.0123063325881958e-01
-            -1.7487519979476929e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7691390991210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1355 2.3050000000000000e+02 0 -1 1356
-            1.1500000000000000e+01 -2 -3 1357 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4078394174575806e-01 1.7803618311882019e-01
-            6.0750162601470947e-01 -9.6443849802017212e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8156455993652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1358 6.5000000000000000e+00 0 -1 1359
-            1.0500000000000000e+01 -2 -3 1360 354.</internalNodes>
-          <leafValues>
-            4.6506500244140625e-01 -3.7838381528854370e-01
-            -3.8703271746635437e-01 5.6163036823272705e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8427524566650391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1361 1.2500000000000000e+01 0 -1 1362
-            4.5000000000000000e+00 -2 -3 1363 449.</internalNodes>
-          <leafValues>
-            5.1386022567749023e-01 -6.1507451534271240e-01
-            3.0157905817031860e-01 -6.5344727039337158e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8548820495605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1364 5.0000000000000000e-01 0 -1 1365
-            1.5000000000000000e+00 -2 -3 1366 3.8950000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3223056793212891e-01 5.4063457250595093e-01
-            9.0788081288337708e-02 -5.4981482028961182e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8257041931152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1367 1.6650000000000000e+02 0 -1 1368
-            5.0000000000000000e-01 -2 -3 1369 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8060472011566162e-01 -2.9178059101104736e-01
-            -7.8990536928176880e-01 9.2143142223358154e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8675960540771484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1370 1.8500000000000000e+01 0 -1 1371
-            2.3500000000000000e+01 -2 -3 1372 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0728912465274334e-03 -8.4625685214996338e-01
-            4.8941537737846375e-01 -1.3043193519115448e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9024429321289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1373 8.5000000000000000e+00 0 -1 1374
-            8.1295000000000000e+03 -2 -3 1375 1.1250000000000000e+02</internalNodes>
-          <leafValues>
-            1.5426757931709290e-01 -7.5539046525955200e-01
-            -3.0081889033317566e-01 3.4846922755241394e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8698005676269531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1376 9.5000000000000000e+00 0 -1 1377
-            5.5000000000000000e+00 -2 -3 1378 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7566885948181152e-01 5.3590404987335205e-01
-            -3.2642310857772827e-01 3.3310726284980774e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8178993225097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1379 2.6450000000000000e+02 0 -1 1380
-            4.6255000000000000e+03 -2 -3 1381 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2790592312812805e-01 3.8349342346191406e-01
-            3.5417640209197998e-01 -5.1901257038116455e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8603790283203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1382 7.7450000000000000e+02 0 -1 1383
-            5.4450000000000000e+02 -2 -3 1384 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2479729652404785e-01 -6.4129936695098877e-01
-            -3.8530099391937256e-01 4.2106175422668457e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9316322326660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1385 1.2285000000000000e+03 0 -1 1386 19974. -2 -3 1387
-            2.0675000000000000e+03</internalNodes>
-          <leafValues>
-            -3.2134270668029785e-01 6.0310727357864380e-01
-            7.1253037452697754e-01 -1.8411901593208313e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8982051849365234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1388 2254. 0 -1 1389 23971. -2 -3 1390
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.3044491410255432e-02 8.1400823593139648e-01
-            3.9543354511260986e-01 -4.9717214703559875e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9231285095214844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1391 7888. 0 -1 1392 1.2500000000000000e+01 -2 -3 1393
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.9114888906478882e-01 1. 2.4923273921012878e-01
-            -3.9778175950050354e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9200939178466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1394 8.2500000000000000e+01 0 -1 1395
-            2.5000000000000000e+00 -2 -3 1396 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9092748165130615e-01 -6.6723209619522095e-01
-            4.0493550896644592e-01 -2.8249517083168030e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9109848022460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1397 1.0500000000000000e+01 0 -1 1398
-            3.4150000000000000e+02 -2 -3 1399 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.1704797297716141e-01 -7.8680926561355591e-01
-            5.4690092802047729e-01 -9.1091230511665344e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.9430786132812500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1400 7.5000000000000000e+00 0 -1 1401
-            5.6350000000000000e+02 -2 -3 1402 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -1. 5.3584295511245728e-01 -1.1434395611286163e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9888351440429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1403 576. 0 -1 1404 2.3765000000000000e+03 -2 -3 1405
-            1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3801420927047729e-01 -7.2940248250961304e-01
-            -9.7766503691673279e-02 4.5756503939628601e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9605831146240234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1406 5.5000000000000000e+00 0 -1 1407
-            6.5000000000000000e+00 -2 -3 1408 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3598860502243042e-01 6.3315272331237793e-01
-            1.0997077822685242e-01 -4.5688989758491516e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0259593963623047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1409 1.2785000000000000e+03 0 -1 1410
-            5.0000000000000000e-01 -2 -3 1411 1.0150000000000000e+02</internalNodes>
-          <leafValues>
-            2.8614109754562378e-01 -3.0422577261924744e-01
-            -5.3765338659286499e-01 7.5021845102310181e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0646686553955078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1412 9.3750000000000000e+02 0 -1 1413
-            2.5500000000000000e+01 -2 -3 1414 6.4650000000000000e+02</internalNodes>
-          <leafValues>
-            -1.8467088043689728e-01 3.8709565997123718e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.0781440734863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1415 5.0000000000000000e-01 0 -1 1416 62. -2 -3 1417
-            5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            6.4194250106811523e-01 -6.9881826639175415e-01
-            -3.3652466535568237e-01 2.9932817816734314e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0840915679931641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1418 2.5000000000000000e+00 0 -1 1419 13192. -2 -3 1420
-            2.4950000000000000e+02</internalNodes>
-          <leafValues>
-            -9.9075198173522949e-01 8.7482362985610962e-01
-            2.9631823301315308e-01 -2.0155780017375946e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1011356353759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1421 4.8150000000000000e+02 0 -1 1422
-            1.0450000000000000e+02 -2 -3 1423 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.5319704785943031e-02 -7.4390411376953125e-01
-            -8.1089955568313599e-01 7.6437503099441528e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0876789093017578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1424 5.5000000000000000e+00 0 -1 1425
-            2.5000000000000000e+00 -2 -3 1426 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.8024749755859375e-01 3.7663710117340088e-01
-            -1.3456873595714569e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0677371978759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1427 2.1500000000000000e+01 0 -1 1428
-            1.1125000000000000e+03 -2 -3 1429 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5568805187940598e-02 -8.6155319213867188e-01
-            3.0837088823318481e-01 -1.9941620528697968e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0941162109375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1430 9.4500000000000000e+01 0 -1 1431 447. -2 -3 1432
-            8.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0531620085239410e-01 -6.4759564399719238e-01
-            2.6378956437110901e-01 -6.0503029823303223e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0695613861083984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1433 8.1450000000000000e+02 0 -1 1434
-            9.9250000000000000e+02 -2 -3 1435 2.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1355805397033691e-01 3.9234723895788193e-02
-            4.3808567523956299e-01 -7.3097014427185059e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1197418212890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1436 1.8769500000000000e+04 0 -1 1437 1329. -2 -3 1438
-            5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0180602073669434e-01 -3.4298053383827209e-01
-            6.9242316484451294e-01 -3.7215092778205872e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1157611846923828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1439 3.1500000000000000e+01 0 -1 1440
-            1.8500000000000000e+01 -2 -3 1441 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.7518281936645508e-01 -7.6596146821975708e-01
-            5.7309043407440186e-01 -3.9805334061384201e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.0718166351318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1442 9.3500000000000000e+01 0 -1 1443
-            8.5000000000000000e+00 -2 -3 1444 1.6950000000000000e+02</internalNodes>
-          <leafValues>
-            7.0507103204727173e-01 -4.3868264555931091e-01
-            4.2583593726158142e-01 -4.3944749236106873e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1168849945068359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1445 1.5000000000000000e+00 0 -1 1446
-            1.5500000000000000e+01 -2 -3 1447 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.8355963230133057e-01 8.2266020774841309e-01
-            4.5068329572677612e-01 -1.3382685184478760e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1473163604736328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1448 5.6500000000000000e+01 0 -1 1449
-            3.3500000000000000e+01 -2 -3 1450 2.1550000000000000e+02</internalNodes>
-          <leafValues>
-            2.5085982680320740e-01 -3.7931889295578003e-01
-            6.7997491359710693e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>4.1634220123291016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1451 5.4500000000000000e+01 0 -1 1452
-            9.5000000000000000e+00 -2 -3 1453 1.7250000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9712128639221191e-01 8.5313194990158081e-01
-            1.6105654835700989e-01 -9.5611929893493652e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1978507995605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1454 1.1615000000000000e+03 0 -1 1455
-            2.0525000000000000e+03 -2 -3 1456 5.8650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1788591146469116e-01 4.8950648307800293e-01
-            4.8551353812217712e-01 -1.9422738254070282e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2004768371582031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1457 4.6500000000000000e+01 0 -1 1458
-            3.5000000000000000e+00 -2 -3 1459 7.0350000000000000e+02</internalNodes>
-          <leafValues>
-            3.9823031425476074e-01 -6.6477078199386597e-01
-            -1.1496587097644806e-01 4.9930962920188904e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1885951995849609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1460 4.4500000000000000e+01 0 -1 1461
-            3.5000000000000000e+00 -2 -3 1462 4.</internalNodes>
-          <leafValues>
-            4.4042432308197021e-01 -1.1881566792726517e-01
-            8.4207451343536377e-01 -8.6268407106399536e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2072120666503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1463 2.0500000000000000e+01 0 -1 1464 10. -2 -3 1465
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8040562868118286e-01 1. 3.3258756995201111e-01
-            -1.7096966505050659e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2217323303222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1466 1.3500000000000000e+01 0 -1 1467 47. -2 -3 1468
-            1.3325000000000000e+03</internalNodes>
-          <leafValues>
-            -6.6619759798049927e-01 5.1798510551452637e-01
-            -1.2162621133029461e-03 7.3543995618820190e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2318325042724609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1469 4.5000000000000000e+00 0 -1 1470
-            1.9500000000000000e+01 -2 -3 1471 1.5585000000000000e+03</internalNodes>
-          <leafValues>
-            -9.6737003326416016e-01 6.0924607515335083e-01
-            5.8938968181610107e-01 -2.8636392951011658e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2444244384765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1472 2.7500000000000000e+01 0 -1 1473
-            1.8247500000000000e+04 -2 -3 1474 6.5605000000000000e+03</internalNodes>
-          <leafValues>
-            -1.1921727657318115e-01 4.3995112180709839e-01
-            -7.6667350530624390e-01 4.6777427196502686e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2317867279052734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1475 4.5000000000000000e+00 0 -1 1476 15. -2 -3 1477
-            3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.6039277315139771e-01 1. 3.9408209919929504e-01
-            -1.2637579441070557e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2575748443603516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1478 367. 0 -1 1479 2578. -2 -3 1480
-            2.0050000000000000e+02</internalNodes>
-          <leafValues>
-            5.2356463670730591e-01 -6.4678192138671875e-01
-            3.1403809785842896e-01 -3.7955451011657715e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2238155364990234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1481 5.4500000000000000e+01 0 -1 1482
-            1.8450000000000000e+02 -2 -3 1483 5.6550000000000000e+02</internalNodes>
-          <leafValues>
-            -7.5117689371109009e-01 3.9905190467834473e-01
-            1.0141634941101074e-01 -6.3857173919677734e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2032226562500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1484 3.5500000000000000e+01 0 -1 1485
-            1.1500000000000000e+01 -2 -3 1486 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1570602655410767e-01 3.6179527640342712e-01
-            4.0053242444992065e-01 -2.0592956244945526e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2406646728515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1487 3.6150000000000000e+02 0 -1 1488
-            7.6500000000000000e+01 -2 -3 1489 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1660387516021729e-01 -3.7647891044616699e-01
-            6.7929941415786743e-01 -8.0690664052963257e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2598564147949219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1490 3.2350000000000000e+02 0 -1 1491
-            9.5000000000000000e+00 -2 -3 1492 1.0350000000000000e+02</internalNodes>
-          <leafValues>
-            2.8338834643363953e-01 -2.8749933838844299e-01
-            -4.2244365811347961e-01 8.4098398685455322e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2448162078857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1493 6.8500000000000000e+01 0 -1 1494
-            1.9500000000000000e+01 -2 -3 1495 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4642934203147888e-01 -8.8521170616149902e-01
-            3.8606628775596619e-01 -1.5039834380149841e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2684196472167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1496 1.1350000000000000e+02 0 -1 1497
-            1.2195000000000000e+03 -2 -3 1498 465.</internalNodes>
-          <leafValues>
-            -3.4444883465766907e-01 2.3603120446205139e-01
-            7.6531344652175903e-01 -3.9807590842247009e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2983776092529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1499 1.5725000000000000e+03 0 -1 1500
-            7.6500000000000000e+01 -2 -3 1501 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2652869820594788e-01 2.9957908391952515e-01
-            3.3552268147468567e-01 -7.9458123445510864e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3334823608398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1502 2.2500000000000000e+01 0 -1 1503
-            1.5000000000000000e+00 -2 -3 1504 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7209235429763794e-01 3.5104992985725403e-01
-            3.1476601958274841e-02 -5.8574450016021729e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3509834289550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1505 51199. 0 -1 1506 5.5950000000000000e+02 -2 -3 1507
-            9.3125000000000000e+03</internalNodes>
-          <leafValues>
-            3.0665323138237000e-01 -1.8138632178306580e-01
-            -9.8618561029434204e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.3432380676269531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1508 2.3365000000000000e+03 0 -1 1509 1614. -2 -3 1510
-            2.9285000000000000e+03</internalNodes>
-          <leafValues>
-            -6.6426819562911987e-01 5.2347922325134277e-01
-            6.3229858875274658e-01 -7.7455088496208191e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.3682022094726562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1511 1.4850000000000000e+02 0 -1 1512
-            3.4500000000000000e+01 -2 -3 1513 4351.</internalNodes>
-          <leafValues>
-            -4.1966313123703003e-01 2.4964161217212677e-01
-            -9.2960160970687866e-01 -1.1052240431308746e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3838462829589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1514 1.5000000000000000e+00 0 -1 1515
-            5.6150000000000000e+02 -2 -3 1516 2.5215000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1278488636016846e-01 4.3191543221473694e-01
-            -4.5729264616966248e-01 2.2259603440761566e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3913276672363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1517 452. 0 -1 1518 1.5850000000000000e+02 -2 -3 1519
-            3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7823349833488464e-01 -4.4655042886734009e-01
-            -7.6742780208587646e-01 1.3798709213733673e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3755275726318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1520 1.2150000000000000e+02 0 -1 1521
-            6.1500000000000000e+01 -2 -3 1522 2.4150000000000000e+02</internalNodes>
-          <leafValues>
-            5.8016028255224228e-02 -5.8355945348739624e-01
-            -6.6341340541839600e-01 4.4974878430366516e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3783382415771484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1523 1.0750000000000000e+02 0 -1 1524
-            4.5000000000000000e+00 -2 -3 1525 1080.</internalNodes>
-          <leafValues>
-            1.8615058064460754e-01 -4.8687478899955750e-01
-            4.3972969055175781e-01 -9.3779921531677246e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3861518859863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1526 8.6500000000000000e+01 0 -1 1527
-            1.5000000000000000e+00 -2 -3 1528 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            4.7667163610458374e-01 -4.0568494796752930e-01
-            -6.4215010404586792e-01 2.9706746339797974e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4278926849365234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1529 1.7500000000000000e+01 0 -1 1530
-            1.4500000000000000e+01 -2 -3 1531 7.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9139021635055542e-01 6.4281481504440308e-01
-            1.8875285983085632e-02 8.0112278461456299e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4180038452148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1532 1.3500000000000000e+01 0 -1 1533
-            3.7500000000000000e+01 -2 -3 1534 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.8149468898773193e-01 3.6302325129508972e-01
-            2.1482136845588684e-01 -4.8260265588760376e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4126861572265625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1535 1.1500000000000000e+01 0 -1 1536
-            4.1450000000000000e+02 -2 -3 1537 448.</internalNodes>
-          <leafValues>
-            6.4174473285675049e-01 -5.1509088277816772e-01
-            3.2752755284309387e-01 -4.6536535024642944e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4402042388916016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1538 2.3500000000000000e+01 0 -1 1539
-            1.5000000000000000e+00 -2 -3 1540 1.2750000000000000e+02</internalNodes>
-          <leafValues>
-            4.6208882704377174e-03 -7.9509699344635010e-01
-            2.7518290281295776e-01 -5.4167103767395020e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4075366973876953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1541 5.0000000000000000e-01 0 -1 1542
-            1.1500000000000000e+01 -2 -3 1543 1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2465864419937134e-01 6.2209093570709229e-01
-            -4.6270170807838440e-01 1.2467093765735626e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4579692840576172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1544 1.8500000000000000e+01 0 -1 1545
-            6.9500000000000000e+01 -2 -3 1546 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0432658195495605e-01 -1.5816394984722137e-01
-            -6.3987523317337036e-01 1.9685916602611542e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4788379669189453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1547 1.2850000000000000e+02 0 -1 1548
-            1.3644850000000000e+05 -2 -3 1549 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.3887935876846313e-01 -8.6476135253906250e-01
-            5.3407603502273560e-01 -1.0505830496549606e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4465953826904297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1550 1.0077500000000000e+04 0 -1 1551
-            1.9500000000000000e+01 -2 -3 1552 2.8365000000000000e+03</internalNodes>
-          <leafValues>
-            1.8253329396247864e-01 -5.4899621009826660e-01
-            7.3290371894836426e-01 -1.2869638204574585e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4705356597900391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1553 7.0500000000000000e+01 0 -1 1554
-            2.6950000000000000e+02 -2 -3 1555 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            1.6822533309459686e-01 -6.7410588264465332e-01
-            2.3940414190292358e-01 -7.4502784013748169e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4884269714355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1556 1680. 0 -1 1557 7.5000000000000000e+00 -2 -3 1558
-            3.5850000000000000e+02</internalNodes>
-          <leafValues>
-            2.8662183880805969e-01 -9.1832697391510010e-01
-            1.7891472578048706e-01 -5.9693121910095215e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4728557586669922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1559 1.7555000000000000e+03 0 -1 1560 19. -2 -3 1561
-            2332.</internalNodes>
-          <leafValues>
-            -5.2603626251220703e-01 7.1634864807128906e-01
-            -6.1052620410919189e-01 -4.9342345446348190e-03</leafValues></_>
-        <_>
-          <treeThreshold>4.4819171905517578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1562 1.3750000000000000e+02 0 -1 1563
-            1.5750000000000000e+02 -2 -3 1564 1.3050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.0166075825691223e-02 5.8633291721343994e-01
-            -8.1866687536239624e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.4643035888671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1565 6.3500000000000000e+01 0 -1 1566
-            1.9500000000000000e+01 -2 -3 1567 552.</internalNodes>
-          <leafValues>
-            -7.2267347574234009e-01 2.3417486250400543e-01
-            4.9026021361351013e-01 -6.2466406822204590e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4639259338378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1568 3.5000000000000000e+00 0 -1 1569
-            2.4500000000000000e+01 -2 -3 1570 8.2150000000000000e+02</internalNodes>
-          <leafValues>
-            -3.5061278939247131e-01 4.3918311595916748e-01
-            4.6116840094327927e-02 -6.6601943969726562e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4594688415527344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1571 1.3500000000000000e+01 0 -1 1572
-            8.5000000000000000e+00 -2 -3 1573 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.5554552674293518e-02 -8.3599025011062622e-01
-            6.3880258798599243e-01 -4.4572211802005768e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4976432800292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1574 9.0350000000000000e+02 0 -1 1575
-            2.0500000000000000e+01 -2 -3 1576 1.2615000000000000e+03</internalNodes>
-          <leafValues>
-            3.8174423575401306e-01 -2.4711053073406219e-01
-            -7.3085212707519531e-01 1.3097274303436279e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5154560089111328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1577 3.2500000000000000e+01 0 -1 1578 41. -2 -3 1579
-            1153.</internalNodes>
-          <leafValues>
-            1.3735578954219818e-01 -9.0119731426239014e-01
-            -8.0212074518203735e-01 1.7812842130661011e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5438049316406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1580 3.4500000000000000e+01 0 -1 1581
-            1.4500000000000000e+01 -2 -3 1582 1.8650000000000000e+02</internalNodes>
-          <leafValues>
-            7.1418809890747070e-01 -4.1756910085678101e-01
-            3.2309561967849731e-01 -6.6359835863113403e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5376655578613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1583 5.7500000000000000e+01 0 -1 1584
-            3.4835000000000000e+03 -2 -3 1585 1.6677500000000000e+04</internalNodes>
-          <leafValues>
-            9.3545570969581604e-02 -6.6382712125778198e-01
-            -6.0366630554199219e-01 3.5915172100067139e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5476417541503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1586 1.2235000000000000e+03 0 -1 1587
-            5.0000000000000000e-01 -2 -3 1588 2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            9.9763244390487671e-02 -5.6198817491531372e-01
-            5.3732144832611084e-01 -2.9778870940208435e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5174198150634766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1589 2.5750000000000000e+02 0 -1 1590
-            3.4500000000000000e+01 -2 -3 1591 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3968584537506104e-01 9.1056388616561890e-01
-            2.8303310275077820e-01 -3.0222162604331970e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5571937561035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1592 3.5500000000000000e+01 0 -1 1593
-            2.5000000000000000e+00 -2 -3 1594 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.1757766008377075e-01 -9.3560528755187988e-01
-            4.8287272453308105e-01 -1.0781970620155334e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5820465087890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1595 2.6500000000000000e+01 0 -1 1596
-            9.5000000000000000e+00 -2 -3 1597 64.</internalNodes>
-          <leafValues>
-            1.6339369118213654e-01 -4.8592147231101990e-01
-            -8.0971640348434448e-01 4.2723599076271057e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5875530242919922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1598 4.8150000000000000e+02 0 -1 1599
-            1.9285000000000000e+03 -2 -3 1600 1.1625000000000000e+03</internalNodes>
-          <leafValues>
-            -7.9999005794525146e-01 1.8668703734874725e-01
-            6.2736529111862183e-01 -1.2364284694194794e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6327709197998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1601 8.9450000000000000e+02 0 -1 1602
-            1.5000000000000000e+00 -2 -3 1603 6634.</internalNodes>
-          <leafValues>
-            1.7092481255531311e-02 -6.5232801437377930e-01
-            5.6317013502120972e-01 -4.4582167267799377e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6148258209228516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1604 43039. 0 -1 1605 1.5500000000000000e+01 -2 -3 1606
-            3.8225000000000000e+03</internalNodes>
-          <leafValues>
-            -1. 4.9083131551742554e-01 -3.1666326522827148e-01
-            6.4053624868392944e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6105995178222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1607 3.5000000000000000e+00 0 -1 1608 21. -2 -3 1609
-            2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7276186943054199e-01 1. 3.7125155329704285e-01
-            -1.5020866692066193e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6445560455322266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1610 1.4450000000000000e+02 0 -1 1611
-            1.0500000000000000e+01 -2 -3 1612 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.7516593486070633e-02 -5.1498800516128540e-01
-            8.0552762746810913e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>4.6819828033447266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1613 8.8500000000000000e+01 0 -1 1614
-            5.0000000000000000e-01 -2 -3 1615 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4280284345149994e-01 -5.9024065732955933e-01
-            4.4487208127975464e-01 -1.7842440307140350e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6427459716796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1616 3.1500000000000000e+01 0 -1 1617
-            3.6500000000000000e+01 -2 -3 1618 1.1135000000000000e+03</internalNodes>
-          <leafValues>
-            -3.8508945703506470e-01 5.4531073570251465e-01
-            -3.9237090945243835e-01 5.3639191389083862e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6388378143310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1619 1.3495000000000000e+03 0 -1 1620
-            1.2865000000000000e+03 -2 -3 1621 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.9079591631889343e-02 7.2226065397262573e-01
-            1.6772003471851349e-01 -8.0866611003875732e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6664485931396484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1622 5.7650000000000000e+02 0 -1 1623 38772. -2 -3 1624
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.7578887939453125e-01 4.5766559243202209e-01
-            3.2720005512237549e-01 -3.8240414857864380e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6878482818603516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1625 1.6500000000000000e+01 0 -1 1626
-            3.1050000000000000e+02 -2 -3 1627 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3941693603992462e-02 -8.9211910963058472e-01
-            -7.0304632186889648e-01 2.1399846673011780e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6925651550292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1628 1.0285000000000000e+03 0 -1 1629
-            2.7950000000000000e+02 -2 -3 1630 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1127714514732361e-01 -1.3439148664474487e-01
-            -7.5179332494735718e-01 3.4586694836616516e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7010379791259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1631 2.4500000000000000e+01 0 -1 1632
-            1.1265000000000000e+03 -2 -3 1633 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5471497774124146e-01 8.4728397428989410e-02
-            -6.6250604391098022e-01 5.0282490253448486e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7003398895263672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1634 5.5000000000000000e+00 0 -1 1635
-            1.3500000000000000e+01 -2 -3 1636 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1465358734130859e-01 5.2310514450073242e-01
-            -6.9816145114600658e-03 -6.2556844949722290e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7450687408447266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1637 8.5000000000000000e+00 0 -1 1638
-            1.9500000000000000e+01 -2 -3 1639 7.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8994300067424774e-01 -5.1936614513397217e-01
-            -5.1978632807731628e-02 5.4172980785369873e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7289505004882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1640 4.5000000000000000e+00 0 -1 1641
-            5.0000000000000000e-01 -2 -3 1642 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3673211336135864e-01 4.2628908157348633e-01
-            -6.1518812179565430e-01 3.8786195218563080e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.7609291076660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1643 9.0500000000000000e+01 0 -1 1644
-            1.7500000000000000e+01 -2 -3 1645 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5377960875630379e-02 8.4010601043701172e-01
-            -5.5201697349548340e-01 9.3266852200031281e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6873203277587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1646 181. 0 -1 1647 3.2500000000000000e+01 -2 -3 1648
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4539522826671600e-01 3.0167981982231140e-01
-            -7.8757899999618530e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.7333202362060547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1649 3.5000000000000000e+00 0 -1 1650
-            3.6450000000000000e+02 -2 -3 1651 131.</internalNodes>
-          <leafValues>
-            4.5999684929847717e-01 -8.5532951354980469e-01
-            -7.6767379045486450e-01 -4.0166407823562622e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.7809810638427734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1652 2.3415000000000000e+03 0 -1 1653
-            5.5550000000000000e+02 -2 -3 1654 7.8650000000000000e+02</internalNodes>
-          <leafValues>
-            1.0606591403484344e-01 -7.2960245609283447e-01
-            4.7661080956459045e-01 -1.5633082389831543e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8187953948974609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1655 5.0500000000000000e+01 0 -1 1656
-            2.7500000000000000e+01 -2 -3 1657 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6588409543037415e-01 2.0847728848457336e-01
-            5.3038245439529419e-01 -9.1906154155731201e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8385017395019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1658 2.5000000000000000e+00 0 -1 1659
-            5.0000000000000000e-01 -2 -3 1660 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.3917874097824097e-01 3.5120227932929993e-01
-            4.4822514057159424e-02 -5.4643929004669189e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7983116149902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1661 1.7500000000000000e+01 0 -1 1662 46. -2 -3 1663
-            4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7424659729003906e-01 4.0549939870834351e-01
-            -4.3008446693420410e-01 3.0111113190650940e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7767936706542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1664 3.7250000000000000e+02 0 -1 1665
-            1.9500000000000000e+01 -2 -3 1666 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.1517898142337799e-01 3.3102101087570190e-01
-            -7.5989711284637451e-01 2.0524039864540100e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7636989593505859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1667 5.0000000000000000e-01 0 -1 1668
-            3.5000000000000000e+00 -2 -3 1669 2.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.5064278841018677e-01 4.6156671643257141e-01
-            -3.4933045506477356e-01 3.1964045763015747e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8035350799560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1670 5.5000000000000000e+00 0 -1 1671
-            1.6500000000000000e+01 -2 -3 1672 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.4588496685028076e-01 -5.2224334329366684e-02 1.
-            -9.5129132270812988e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8075088500976562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1673 5.8500000000000000e+01 0 -1 1674
-            1.7500000000000000e+01 -2 -3 1675 60.</internalNodes>
-          <leafValues>
-            3.9737168699502945e-02 -4.9285057187080383e-01
-            5.5449837446212769e-01 -5.8396834135055542e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8273761749267578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1676 5.5000000000000000e+00 0 -1 1677
-            2.4500000000000000e+01 -2 -3 1678 5.5450000000000000e+02</internalNodes>
-          <leafValues>
-            1.7725417017936707e-01 -8.1391674280166626e-01
-            -5.4412531852722168e-01 2.6674869656562805e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8013420104980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1679 8.5000000000000000e+00 0 -1 1680 1955. -2 -3 1681
-            96.</internalNodes>
-          <leafValues>
-            1.7242313921451569e-01 -9.2252993583679199e-01
-            1.7602242529392242e-01 -6.7200791835784912e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8326412200927734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1682 3.0104500000000000e+04 0 -1 1683
-            2.8050000000000000e+02 -2 -3 1684 2.7154500000000000e+04</internalNodes>
-          <leafValues>
-            3.1299278140068054e-01 -1.8952211737632751e-01
-            -9.5317900180816650e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.8304637908935547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1685 5.4500000000000000e+01 0 -1 1686
-            4.4650000000000000e+02 -2 -3 1687 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1255780756473541e-01 -8.1515192985534668e-01
-            6.9879400730133057e-01 -2.3700682446360588e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8183525085449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1688 2.5000000000000000e+00 0 -1 1689 128. -2 -3 1690
-            3.5450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0286073684692383e-01 8.9803677797317505e-01
-            3.0971682071685791e-01 -2.6458665728569031e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8420330047607422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1691 4.5000000000000000e+00 0 -1 1692 1348. -2 -3 1693
-            1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1627983450889587e-01 -9.3673717975616455e-01
-            2.7623519301414490e-01 -2.4342669546604156e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8284450531005859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1694 5.0350000000000000e+02 0 -1 1695
-            5.1950000000000000e+02 -2 -3 1696 7.8350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.7904888391494751e-01 9.6044069528579712e-01
-            7.1280044317245483e-01 -2.8820293024182320e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8518047332763672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1697 7.3500000000000000e+01 0 -1 1698
-            1.0750000000000000e+02 -2 -3 1699 1.0508500000000000e+04</internalNodes>
-          <leafValues>
-            2.3359699547290802e-01 -3.2509902119636536e-01
-            -5.7240724563598633e-01 6.9403934478759766e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8881092071533203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1700 1.9500000000000000e+01 0 -1 1701
-            2.5000000000000000e+00 -2 -3 1702 5.7450000000000000e+02</internalNodes>
-          <leafValues>
-            7.0620238780975342e-02 -6.4059627056121826e-01
-            -5.6051510572433472e-01 3.6304420232772827e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8674976348876953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1703 1.6500000000000000e+01 0 -1 1704 2698. -2 -3 1705
-            1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4122928380966187e-01 1. 3.0906781554222107e-01
-            -2.2473946213722229e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8650527954101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1706 285. 0 -1 1707 2.5000000000000000e+00 -2 -3 1708
-            2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1351448297500610e-01 6.1334443092346191e-01
-            -5.3962910175323486e-01 9.5953509211540222e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8581436157226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1709 1.5000000000000000e+00 0 -1 1710
-            7.2500000000000000e+01 -2 -3 1711 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.5018194913864136e-01 5.4274356365203857e-01
-            3.2649326324462891e-01 -4.6085461974143982e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8824050903320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1712 7.5000000000000000e+00 0 -1 1713
-            1.3500000000000000e+01 -2 -3 1714 1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            -9.4072926044464111e-01 4.9135723710060120e-01
-            -3.6922344565391541e-01 2.8209823369979858e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9051761627197266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1715 1.2945000000000000e+03 0 -1 1716
-            2.5000000000000000e+00 -2 -3 1717 12557.</internalNodes>
-          <leafValues>
-            2.2771342098712921e-01 -3.0103012919425964e-01
-            8.6664509773254395e-01 -6.4184981584548950e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9400878906250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1718 3.7500000000000000e+01 0 -1 1719
-            1.5000000000000000e+00 -2 -3 1720 1.7395000000000000e+03</internalNodes>
-          <leafValues>
-            5.5372547358274460e-02 -6.4846998453140259e-01
-            -5.1582384109497070e-01 3.7294328212738037e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9400951385498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1721 1.9500000000000000e+01 0 -1 1722
-            2.7500000000000000e+01 -2 -3 1723 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.0849715210497379e-02 -6.8436485528945923e-01
-            -2.9969093203544617e-01 8.8249796628952026e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9150127410888672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1724 6695. 0 -1 1725 4.1995000000000000e+03 -2 -3 1726
-            3060.</internalNodes>
-          <leafValues>
-            6.0968101024627686e-01 -1.8973879516124725e-01
-            6.7397463321685791e-01 -2.9114890098571777e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9635650634765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1727 1.2185000000000000e+03 0 -1 1728
-            6.7250000000000000e+02 -2 -3 1729 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2244133949279785e-01 8.5333442687988281e-01
-            -6.7660027742385864e-01 4.8552277684211731e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9185047149658203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1730 4.6500000000000000e+01 0 -1 1731
-            1.7535000000000000e+03 -2 -3 1732 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1635149270296097e-01 -4.5060265064239502e-01
-            -8.2891207933425903e-01 8.0917561054229736e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9572048187255859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1733 3.5000000000000000e+00 0 -1 1734
-            1.2500000000000000e+01 -2 -3 1735 4.4115000000000000e+03</internalNodes>
-          <leafValues>
-            -7.0214819908142090e-01 3.8700041174888611e-01
-            -4.7868278622627258e-01 1.9085995852947235e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9520980834960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1736 6.4500000000000000e+01 0 -1 1737
-            1.0850000000000000e+02 -2 -3 1738 9.5775000000000000e+03</internalNodes>
-          <leafValues>
-            -5.1066368818283081e-02 6.1802017688751221e-01
-            -8.5373187065124512e-01 7.1274143457412720e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9744472503662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1739 2.5000000000000000e+00 0 -1 1740
-            1.8500000000000000e+01 -2 -3 1741 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1709325313568115e-01 4.6844825148582458e-01
-            2.2349253296852112e-01 -4.7425210475921631e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0045192718505859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1742 1.2500000000000000e+01 0 -1 1743
-            7.5000000000000000e+00 -2 -3 1744 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.9264114350080490e-02 -5.9978258609771729e-01
-            3.0072054266929626e-01 -7.8326350450515747e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0417678833007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1745 4.1500000000000000e+01 0 -1 1746
-            3.5000000000000000e+00 -2 -3 1747 614.</internalNodes>
-          <leafValues>
-            4.2858477681875229e-02 -6.5439593791961670e-01
-            3.7248274683952332e-01 -6.0121566057205200e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0184413909912109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1748 1.8500000000000000e+01 0 -1 1749
-            1.9500000000000000e+01 -2 -3 1750 4.2335000000000000e+03</internalNodes>
-          <leafValues>
-            -3.9789116382598877e-01 3.3808970451354980e-01
-            -6.7741900682449341e-01 -6.1766817234456539e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.0395923614501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1751 7.8500000000000000e+01 0 -1 1752 621. -2 -3 1753
-            1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8525377511978149e-01 4.6244528889656067e-01
-            -6.4186108112335205e-01 -1.5577160753309727e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0368152618408203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1754 7.4500000000000000e+01 0 -1 1755
-            8.0500000000000000e+01 -2 -3 1756 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7840653061866760e-01 -5.0665259361267090e-01
-            2.8003776073455811e-01 -6.6763132810592651e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0609447479248047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1757 4.5000000000000000e+00 0 -1 1758
-            5.0000000000000000e-01 -2 -3 1759 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            1.4921510219573975e-01 -6.7458331584930420e-01
-            2.4129594862461090e-01 -7.1370732784271240e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0734519958496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1760 8.1450000000000000e+02 0 -1 1761
-            3.1750000000000000e+02 -2 -3 1762 4.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -3.4531843662261963e-01 5.5791461467742920e-01
-            5.3364270925521851e-01 -3.7804716825485229e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0482379913330078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1763 1.5500000000000000e+01 0 -1 1764
-            6.5000000000000000e+00 -2 -3 1765 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7612209320068359e-01 2.8200766444206238e-01
-            -6.6070902347564697e-01 5.4497551918029785e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0946456909179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1766 1.3055000000000000e+03 0 -1 1767 13080. -2 -3 1768
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.6180552542209625e-02 6.9708949327468872e-01
-            1.5789812803268433e-01 -6.3250225782394409e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0942211151123047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1769 5.5000000000000000e+00 0 -1 1770
-            1.6500000000000000e+01 -2 -3 1771 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9032448530197144e-01 4.8323771357536316e-01
-            -5.8806318044662476e-01 -4.2477925308048725e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.0879100799560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1772 3.2500000000000000e+01 0 -1 1773
-            1.5000000000000000e+00 -2 -3 1774 203.</internalNodes>
-          <leafValues>
-            7.2742664813995361e-01 -9.5186221599578857e-01
-            2.9152801632881165e-01 -2.9612061381340027e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1405494689941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1775 5.9500000000000000e+01 0 -1 1776
-            5.0000000000000000e-01 -2 -3 1777 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0475186407566071e-01 -4.3729728460311890e-01
-            5.2639096975326538e-01 -5.4126620292663574e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1545295715332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1778 5.1500000000000000e+01 0 -1 1779 113. -2 -3 1780
-            14.</internalNodes>
-          <leafValues>
-            -8.7603360414505005e-01 1.3980150222778320e-01 1.
-            -9.8559749126434326e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1772174835205078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1781 5.0000000000000000e-01 0 -1 1782
-            5.0000000000000000e-01 -2 -3 1783 6.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5320812463760376e-01 5.4211145639419556e-01
-            -4.2864811420440674e-01 1.9388379156589508e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1395809173583984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1784 4.1500000000000000e+01 0 -1 1785
-            2.4500000000000000e+01 -2 -3 1786 1.0350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.6399099230766296e-01 2.9955938458442688e-01
-            -6.9159519672393799e-01 4.9095645546913147e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1332057952880859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1787 1.1545000000000000e+03 0 -1 1788
-            1.0500000000000000e+01 -2 -3 1789 7.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -8.4412866830825806e-01 2.4716804921627045e-01
-            6.3626372814178467e-01 -6.3753142952919006e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1058708190917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1790 2.5000000000000000e+00 0 -1 1791 156. -2 -3 1792
-            667.</internalNodes>
-          <leafValues>
-            5.6390190124511719e-01 -7.4146884679794312e-01
-            -2.7334854006767273e-01 6.9182580709457397e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1457290649414062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1793 1.8500000000000000e+01 0 -1 1794 125. -2 -3 1795
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.9387379884719849e-01 8.3531779050827026e-01
-            6.5114057064056396e-01 -2.6395700871944427e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1741825103759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1796 5.5000000000000000e+00 0 -1 1797
-            8.0500000000000000e+01 -2 -3 1798 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2819365262985229e-01 -3.8713422417640686e-01
-            -6.3428682088851929e-01 3.1973972916603088e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1987751007080078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1799 9.2950000000000000e+02 0 -1 1800
-            1.7500000000000000e+01 -2 -3 1801 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9681459069252014e-01 -6.8903458118438721e-01
-            -5.5376708507537842e-01 2.4592779576778412e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1639968872070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1802 5.0000000000000000e-01 0 -1 1803 727. -2 -3 1804
-            1195.</internalNodes>
-          <leafValues>
-            4.7003021836280823e-01 -8.6940318346023560e-01
-            -3.4778383374214172e-01 9.5309317111968994e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1864089965820312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1805 1.6500000000000000e+01 0 -1 1806
-            1.5500000000000000e+01 -2 -3 1807 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4845769405364990e-01 2.4072749912738800e-01
-            2.2412241995334625e-01 -5.8960992097854614e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1842327117919922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1808 1.3500000000000000e+01 0 -1 1809
-            1.1693500000000000e+04 -2 -3 1810 108.</internalNodes>
-          <leafValues>
-            -2.1761292591691017e-02 -7.1312093734741211e-01 -1.
-            7.1802109479904175e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2474052429199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1811 5.6500000000000000e+01 0 -1 1812
-            2.7150000000000000e+02 -2 -3 1813 4.7050000000000000e+02</internalNodes>
-          <leafValues>
-            4.8798479139804840e-02 -6.1629486083984375e-01
-            6.3172489404678345e-01 -7.8125256299972534e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2882488250732422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1814 2.7500000000000000e+01 0 -1 1815
-            2.7950000000000000e+02 -2 -3 1816 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4727012813091278e-01 -4.5306998491287231e-01
-            -9.6783083677291870e-01 4.0843614935874939e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2590320587158203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1817 1.2500000000000000e+01 0 -1 1818 2332. -2 -3 1819
-            2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0328302979469299e-01 3.9351496100425720e-01
-            -4.5640042424201965e-01 7.0570003986358643e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2686405181884766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1820 2.8450000000000000e+02 0 -1 1821
-            5.1375000000000000e+03 -2 -3 1822 5524.</internalNodes>
-          <leafValues>
-            -6.9284421205520630e-01 5.7867264747619629e-01
-            -5.0904291868209839e-01 4.2930658906698227e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.2665336608886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1823 5.0000000000000000e-01 0 -1 1824
-            1.0500000000000000e+01 -2 -3 1825 3.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9999736547470093e-01 5.0521236658096313e-01
-            -2.1066894754767418e-02 -6.7034846544265747e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2668560028076172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1826 1.5000000000000000e+00 0 -1 1827
-            4.5000000000000000e+00 -2 -3 1828 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5607993602752686e-01 2.3388290405273438e-01
-            -4.7936838865280151e-01 6.4502292871475220e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2418178558349609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1829 2.5000000000000000e+00 0 -1 1830
-            1.2500000000000000e+01 -2 -3 1831 3.7450000000000000e+02</internalNodes>
-          <leafValues>
-            -2.5030246376991272e-01 4.1110610961914062e-01
-            -4.8104089498519897e-01 2.8128054738044739e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2447761535644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1832 1.4500000000000000e+01 0 -1 1833
-            1.6038500000000000e+04 -2 -3 1834 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.2847787141799927e-01 -3.8954043388366699e-01
-            2.9580958187580109e-02 -6.1391896009445190e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2839599609375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1835 8.0500000000000000e+01 0 -1 1836
-            1.4845000000000000e+03 -2 -3 1837 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2797079682350159e-01 7.2983002662658691e-01
-            -4.2472079396247864e-01 3.9183807373046875e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3161972045898438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1838 169. 0 -1 1839 2.3500000000000000e+01 -2 -3 1840
-            3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2237488031387329e-01 -2.9692310094833374e-01
-            5.2028205245733261e-02 -8.3673799037933350e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3484062194824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1841 9.5000000000000000e+00 0 -1 1842
-            4.1565000000000000e+03 -2 -3 1843 924.</internalNodes>
-          <leafValues>
-            1.3346555642783642e-02 -7.3501825332641602e-01
-            -5.0849604606628418e-01 3.2209011912345886e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3532875061035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1844 5.0550000000000000e+02 0 -1 1845
-            5.5000000000000000e+00 -2 -3 1846 8.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6607748270034790e-01 -4.2199668288230896e-01
-            -7.4034929275512695e-01 3.8815331459045410e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3596260070800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1847 1.9550000000000000e+02 0 -1 1848
-            7.6850000000000000e+02 -2 -3 1849 7.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.7186509370803833e-01 4.2454031109809875e-01
-            4.2895314097404480e-01 -4.3257468938827515e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3252147674560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1850 4.2500000000000000e+01 0 -1 1851
-            4.5500000000000000e+01 -2 -3 1852 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5978814959526062e-01 -7.1406579017639160e-01
-            -4.4595164060592651e-01 5.2671235799789429e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3540912628173828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1853 2.0500000000000000e+01 0 -1 1854 276. -2 -3 1855
-            1.2850000000000000e+02</internalNodes>
-          <leafValues>
-            3.2382410764694214e-01 -6.7686492204666138e-01
-            2.8876608610153198e-01 -5.3703272342681885e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4058471679687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1856 1.1065000000000000e+03 0 -1 1857
-            4.5000000000000000e+00 -2 -3 1858 1570.</internalNodes>
-          <leafValues>
-            -4.9808049201965332e-01 5.8341735601425171e-01
-            -4.8129281401634216e-01 1.1452827602624893e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3559310913085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1859 5.0000000000000000e-01 0 -1 1860
-            9.0500000000000000e+01 -2 -3 1861 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            4.2286753654479980e-01 -7.5187528133392334e-01
-            -5.5336773395538330e-01 1.0487236082553864e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3792110443115234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1862 5.5000000000000000e+00 0 -1 1863
-            5.2850000000000000e+02 -2 -3 1864 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8098456859588623e-01 2.5169646739959717e-01
-            3.1981575489044189e-01 -2.3502953350543976e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4220581054687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1865 1.4500000000000000e+01 0 -1 1866
-            2.4025000000000000e+03 -2 -3 1867 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7904801070690155e-02 -8.8576656579971313e-01
-            4.2847126722335815e-01 -1.1248188465833664e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4116458892822266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1868 3.0500000000000000e+01 0 -1 1869
-            1.0500000000000000e+01 -2 -3 1870 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.2367130219936371e-01 -9.1485178470611572e-01
-            5.5012780427932739e-01 -1.0412286967039108e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4431377410888672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1871 1110. 0 -1 1872 2.4500000000000000e+01 -2 -3 1873
-            8.7500000000000000e+01</internalNodes>
-          <leafValues>
-            6.6319614648818970e-02 -9.0293776988983154e-01
-            -2.7686271071434021e-01 3.1491985917091370e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3841773986816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1874 3.1500000000000000e+01 0 -1 1875
-            5.2950000000000000e+02 -2 -3 1876 2.8335000000000000e+03</internalNodes>
-          <leafValues>
-            4.3545942753553391e-03 7.3121100664138794e-01
-            3.2255075871944427e-02 -6.5287035703659058e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3977920532226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1877 4.4635000000000000e+03 0 -1 1878
-            3.5000000000000000e+00 -2 -3 1879 1.2150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3098447322845459e-01 1.3614629209041595e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.4538074493408203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1880 2.0500000000000000e+01 0 -1 1881
-            7.8500000000000000e+01 -2 -3 1882 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4102438986301422e-02 6.1979264020919800e-01
-            8.4239649772644043e-01 -8.3167529106140137e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4199844360351562e+01</treeThreshold>
-          <internalNodes>
-            0 1 1883 5.5000000000000000e+00 0 1 1883 5.5000000000000000e+00 -1 -2 1884
-            2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. -1. 1.8631875514984131e-01 -3.9786672592163086e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4321243286132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1885 100108. 0 -1 1886 2.4450000000000000e+02 -2 -3 1887
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.4501583576202393e-01 1.2139873951673508e-01
-            -9.8769044876098633e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.4476604461669922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1888 3.0500000000000000e+01 0 -1 1889 832. -2 -3 1890
-            3.8650000000000000e+02</internalNodes>
-          <leafValues>
-            4.7927451133728027e-01 -3.6918625235557556e-01
-            4.3850061297416687e-01 -4.2658120393753052e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4880313873291016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1891 4.5000000000000000e+00 0 -1 1892
-            1.8500000000000000e+01 -2 -3 1893 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9552253484725952e-01 1. 4.0370723605155945e-01
-            -1.3244532048702240e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4826488494873047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1894 3.3500000000000000e+01 0 -1 1895
-            5.0000000000000000e-01 -2 -3 1896 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2266705036163330e-01 -4.9189320206642151e-01
-            4.7518423199653625e-01 -1.8694840371608734e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4719253540039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1897 1.3250000000000000e+02 0 -1 1898 197. -2 -3 1899
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.5596961379051208e-02 -8.0278450250625610e-01
-            5.8479261398315430e-01 -1.0723467171192169e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4927463531494141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1900 3.5000000000000000e+00 0 -1 1901
-            2.7500000000000000e+01 -2 -3 1902 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8025721311569214e-01 1. 5.0813627243041992e-01
-            -9.1872639954090118e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5091140747070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1903 3.5500000000000000e+01 0 -1 1904 590. -2 -3 1905
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.2067620754241943e-01 -8.1219708919525146e-01
-            3.9956301450729370e-01 -1.7662063241004944e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5048011779785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1906 1.5500000000000000e+01 0 -1 1907
-            2.5000000000000000e+00 -2 -3 1908 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5108359307050705e-02 -5.7894098758697510e-01
-            5.1151078939437866e-01 -6.0667592287063599e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4623245239257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1909 2.6500000000000000e+01 0 -1 1910
-            1.1500000000000000e+01 -2 -3 1911 2.0250000000000000e+02</internalNodes>
-          <leafValues>
-            4.0922752022743225e-01 -6.0327196121215820e-01
-            3.5508340597152710e-01 -4.1403025388717651e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4938964843750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1912 4.4450000000000000e+02 0 -1 1913
-            4.8075000000000000e+03 -2 -3 1914 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.7132555246353149e-01 -9.4460356235504150e-01
-            3.1572005152702332e-01 -2.5736778974533081e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5008499145507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1915 2.4350000000000000e+02 0 -1 1916
-            1.6500000000000000e+01 -2 -3 1917 98.</internalNodes>
-          <leafValues>
-            6.9533005356788635e-02 -5.5879753828048706e-01
-            5.2043431997299194e-01 -5.5762660503387451e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5581649780273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1918 1.2755000000000000e+03 0 -1 1919
-            1.5000000000000000e+00 -2 -3 1920 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7316585183143616e-01 -3.9282438158988953e-01
-            -8.5869687795639038e-01 5.7315075397491455e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5420215606689453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1921 3.7635000000000000e+03 0 -1 1922
-            1.0904500000000000e+04 -2 -3 1923 6.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7749630212783813e-02 7.8290265798568726e-01
-            3.7081098556518555e-01 -3.9786884188652039e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5134284973144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1924 3.5000000000000000e+00 0 -1 1925
-            1.5000000000000000e+00 -2 -3 1926 1.3535000000000000e+03</internalNodes>
-          <leafValues>
-            -8.4669679403305054e-01 5.6518930196762085e-01
-            -2.8593066334724426e-01 7.8882968425750732e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5399112701416016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1927 1.4500000000000000e+01 0 -1 1928
-            9.5000000000000000e+00 -2 -3 1929 2.1950000000000000e+02</internalNodes>
-          <leafValues>
-            3.6673456430435181e-01 -8.0567514896392822e-01
-            2.6483070850372314e-01 -5.4888963699340820e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5665115356445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1930 1.0500000000000000e+01 0 -1 1931
-            4.3500000000000000e+01 -2 -3 1932 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0224722623825073e-01 7.3296892642974854e-01
-            3.1390979886054993e-01 -2.7697941660881042e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5662361145019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1933 5.0000000000000000e-01 0 -1 1934
-            1.0500000000000000e+01 -2 -3 1935 609.</internalNodes>
-          <leafValues>
-            -4.6577224135398865e-01 3.6372005939483643e-01
-            -6.7203342914581299e-02 -8.5283303260803223e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5597713470458984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1936 4.8150000000000000e+02 0 -1 1937 897. -2 -3 1938
-            6.0015000000000000e+03</internalNodes>
-          <leafValues>
-            -7.0950525999069214e-01 3.6562061309814453e-01
-            7.1085697412490845e-01 -6.4645722508430481e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5976200103759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1939 1.7500000000000000e+01 0 -1 1940
-            2.6500000000000000e+01 -2 -3 1941 2.7195000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9570225477218628e-01 3.7848454713821411e-01
-            3.8467934727668762e-01 -3.8020190596580505e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6158012390136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1942 2.6002500000000000e+04 0 -1 1943
-            5.5000000000000000e+00 -2 -3 1944 933.</internalNodes>
-          <leafValues>
-            5.2110773324966431e-01 -7.8237217664718628e-01
-            -8.0685955286026001e-01 1.8181376159191132e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6510974884033203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1945 6.5000000000000000e+00 0 -1 1946
-            7.7950000000000000e+02 -2 -3 1947 1.1350000000000000e+02</internalNodes>
-          <leafValues>
-            8.0221951007843018e-01 -5.5787330865859985e-01
-            -2.5150266289710999e-01 3.5296073555946350e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6669940948486328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1948 1.2500000000000000e+01 0 -1 1949
-            2.1500000000000000e+01 -2 -3 1950 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1347912549972534e-01 3.3844006061553955e-01
-            -5.6976383924484253e-01 1.5896809101104736e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6639522552490234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1951 5.0000000000000000e-01 0 -1 1952
-            1.0350000000000000e+02 -2 -3 1953 979.</internalNodes>
-          <leafValues>
-            5.6548482179641724e-01 -7.8466528654098511e-01
-            -4.1022753715515137e-01 1.7647762596607208e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6746051788330078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1954 4.7655500000000000e+04 0 -1 1955 1217. -2 -3 1956
-            2.6650000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9296687841415405e-01 2.6075837016105652e-01
-            -7.9774957895278931e-01 1.7970228567719460e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6479259490966797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1957 1.2650000000000000e+02 0 -1 1958
-            1.9500000000000000e+01 -2 -3 1959 491.</internalNodes>
-          <leafValues>
-            -2.6678943634033203e-01 3.8788908720016479e-01
-            9.1776609420776367e-01 -4.6553900837898254e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6557636260986328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1960 4.7500000000000000e+01 0 -1 1961
-            9.6450000000000000e+02 -2 -3 1962 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.0366006493568420e-01 -8.8815379142761230e-01
-            4.8105791211128235e-01 -8.4002502262592316e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6977615356445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1963 1.9350000000000000e+02 0 -1 1964
-            1.0500000000000000e+01 -2 -3 1965 316.</internalNodes>
-          <leafValues>
-            1.2478869408369064e-01 -5.4758942127227783e-01
-            4.1997796297073364e-01 -2.8715902566909790e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6940200805664062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1966 1.3500000000000000e+01 0 -1 1967
-            9.5000000000000000e+00 -2 -3 1968 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.6444692611694336e-01 -5.1318335533142090e-01
-            4.1364780068397522e-01 -2.3452880978584290e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7376541137695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1969 6.5000000000000000e+00 0 -1 1970
-            5.2500000000000000e+01 -2 -3 1971 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1519573926925659e-01 4.3634009361267090e-01
-            -5.3644794225692749e-01 3.0770981311798096e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7745677947998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1972 9.5000000000000000e+00 0 -1 1973
-            1.7125000000000000e+03 -2 -3 1974 2095.</internalNodes>
-          <leafValues>
-            -5.8112341910600662e-02 5.0887292623519897e-01
-            2.3396022617816925e-01 -5.9023892879486084e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7668346405029297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1975 1.3835000000000000e+03 0 -1 1976
-            2.3365000000000000e+03 -2 -3 1977 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.2391898930072784e-01 4.7256642580032349e-01
-            4.1642077267169952e-03 -6.2670201063156128e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7691123962402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1978 2.7250000000000000e+02 0 -1 1979
-            8.0950000000000000e+02 -2 -3 1980 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.9949793219566345e-01 7.5373744964599609e-01
-            2.2777365520596504e-02 -5.4332214593887329e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7523948669433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1981 2.5500000000000000e+01 0 -1 1982
-            3.5000000000000000e+00 -2 -3 1983 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7234396338462830e-01 -7.7871346473693848e-01
-            4.1143327951431274e-01 -1.6717562079429626e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7792133331298828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1984 3.0500000000000000e+01 0 -1 1985
-            6.5000000000000000e+00 -2 -3 1986 4.7850000000000000e+02</internalNodes>
-          <leafValues>
-            4.2716450989246368e-02 -6.7291486263275146e-01
-            3.2022616267204285e-01 -6.1982798576354980e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8013004302978516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1987 3.4500000000000000e+01 0 -1 1988
-            9.5000000000000000e+00 -2 -3 1989 3.9350000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1402336359024048e-01 2.2087192535400391e-01
-            -7.2181683778762817e-01 1.9793330132961273e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8191169738769531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1990 9.7500000000000000e+01 0 -1 1991
-            6.2250000000000000e+02 -2 -3 1992 9.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7816618084907532e-01 -4.8832407593727112e-01
-            -9.5159941911697388e-01 6.5016353130340576e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8067699432373047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1993 2.5000000000000000e+00 0 -1 1994
-            2.2500000000000000e+01 -2 -3 1995 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9863173961639404e-01 -1.2370918691158295e-01
-            -5.3876280784606934e-01 2.5208535790443420e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8372417449951172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1996 1.8075000000000000e+03 0 -1 1997
-            4.5000000000000000e+00 -2 -3 1998 7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9194607734680176e-01 -3.2276815176010132e-01
-            5.3963506221771240e-01 -6.4209002256393433e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8342327117919922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1999 7.5000000000000000e+00 0 -1 2000
-            1.3500000000000000e+01 -2 -3 2001 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3360573053359985e-01 1. 3.0816203355789185e-01
-            -1.9820201396942139e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8525230407714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2002 5.4500000000000000e+01 0 -1 2003
-            3.1500000000000000e+01 -2 -3 2004 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.9942277669906616e-01 1. 2.0665432512760162e-01
-            -4.8230728507041931e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8137825012207031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2005 5.0000000000000000e-01 0 -1 2006
-            6.5000000000000000e+00 -2 -3 2007 1.6255000000000000e+03</internalNodes>
-          <leafValues>
-            -9.1363656520843506e-01 3.4000685811042786e-01
-            3.6237233877182007e-01 -3.8740426301956177e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7477180480957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2008 1.6500000000000000e+01 0 -1 2009
-            3.3050000000000000e+02 -2 -3 2010 1.8250000000000000e+02</internalNodes>
-          <leafValues>
-            4.0280374884605408e-01 -6.6064602136611938e-01
-            2.3912283778190613e-01 -6.5312945842742920e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7596790313720703e+01</treeThreshold>
-          <internalNodes>
-            1 2 2011 3.5000000000000000e+00 0 -1 2012
-            2.2850000000000000e+02 -2 -3 2013 6.7050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6311067193746567e-02 7.3480677604675293e-01
-            -7.8913259506225586e-01 -5.2745390683412552e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.7969238281250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2014 1.2195000000000000e+03 0 -1 2015
-            1.5000000000000000e+00 -2 -3 2016 44231.</internalNodes>
-          <leafValues>
-            3.7240502238273621e-01 -3.7414985895156860e-01
-            5.3368985652923584e-01 -3.4466567635536194e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7981628417968750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2017 1.6650000000000000e+02 0 -1 2018
-            2.0500000000000000e+01 -2 -3 2019 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3047098517417908e-01 4.0283700823783875e-01
-            -8.8833373785018921e-01 9.4913655519485474e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8304691314697266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2020 1.7500000000000000e+01 0 -1 2021
-            2.2500000000000000e+01 -2 -3 2022 1.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -9.7246366739273071e-01 4.5725116133689880e-01
-            -3.3056676387786865e-01 3.2306280732154846e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8687774658203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2023 3.6050000000000000e+02 0 -1 2024
-            2.1500000000000000e+01 -2 -3 2025 5.7150000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9407491385936737e-01 4.0379062294960022e-01
-            -7.1832591295242310e-01 1.6718479990959167e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8403263092041016e+01</treeThreshold>
-          <internalNodes>
-            1 2 2026 3.5000000000000000e+00 0 -1 2027
-            1.5000000000000000e+00 -2 -3 2028 1.1125000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1120482683181763e-01 5.4733234643936157e-01
-            -3.0521857738494873e-01 5.3309994935989380e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8206588745117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2029 9.8550000000000000e+02 0 -1 2030
-            8.5000000000000000e+00 -2 -3 2031 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1662030220031738e-01 4.3150734901428223e-01
-            1.1408390849828720e-01 -5.7918250560760498e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8434097290039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2032 1.2500000000000000e+01 0 -1 2033
-            9.7500000000000000e+01 -2 -3 2034 8574.</internalNodes>
-          <leafValues>
-            4.1095575690269470e-01 -6.6425901651382446e-01
-            2.2750854492187500e-01 -6.5870326757431030e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8159267425537109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2035 790. 0 -1 2036 26812. -2 -3 2037
-            5.2150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0263590812683105e-01 8.7009161710739136e-01
-            -2.7483054995536804e-01 3.0290663242340088e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8559719085693359e+01</treeThreshold>
-          <internalNodes>
-            1 2 2038 1.5550000000000000e+02 0 -1 2039
-            3.6500000000000000e+01 -2 -3 2040 1752.</internalNodes>
-          <leafValues>
-            -1.1953184753656387e-01 4.0045145153999329e-01
-            8.7820923328399658e-01 -9.3850684165954590e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8625492095947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2041 5.0000000000000000e-01 0 -1 2042
-            2.5000000000000000e+00 -2 -3 2043 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3991537094116211e-01 7.3110866546630859e-01
-            2.8890112042427063e-01 -2.9580232501029968e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8505027770996094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2044 6.7500000000000000e+01 0 -1 2045
-            5.6500000000000000e+01 -2 -3 2046 9.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7034713625907898e-01 6.4461517333984375e-01
-            3.4142866730690002e-01 -8.6112099885940552e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8600910186767578e+01</treeThreshold>
-          <internalNodes>
-            1 2 2047 8.0500000000000000e+01 0 -1 2048
-            1.8650000000000000e+02 -2 -3 2049 590.</internalNodes>
-          <leafValues>
-            -7.2916746139526367e-01 3.1004229187965393e-01
-            -6.6359126567840576e-01 9.5881775021553040e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.8711597442626953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2050 5.0000000000000000e-01 0 -1 2051
-            7.5450000000000000e+02 -2 -3 2052 3.2650000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2816257476806641e-01 4.2444109916687012e-01
-            -4.2585963010787964e-01 3.1073370575904846e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8032016754150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2053 60937. 0 -1 2054 416. -2 -3 2055
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.7063696682453156e-01 -6.7958027124404907e-01
-            8.7877064943313599e-01 -9.5674747228622437e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8740566253662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2056 1.5000000000000000e+00 0 -1 2057
-            3.5000000000000000e+00 -2 -3 2058 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4752992391586304e-01 7.0855057239532471e-01
-            -6.8028306961059570e-01 2.6557485107332468e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.9213050842285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2059 7.5000000000000000e+00 0 -1 2060
-            4.5000000000000000e+00 -2 -3 2061 2.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -1.6750365495681763e-01 4.7248429059982300e-01
-            1.6587665677070618e-01 -5.7748597860336304e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9422805786132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2062 9.5000000000000000e+00 0 -1 2063
-            2.4500000000000000e+01 -2 -3 2064 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.3164252936840057e-01 -8.6614209413528442e-01
-            -8.4939008951187134e-01 2.0975443720817566e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8884654998779297e+01</treeThreshold>
-          <internalNodes>
-            1 2 2065 6.2500000000000000e+01 0 -1 2066
-            1.0500000000000000e+01 -2 -3 2067 252.</internalNodes>
-          <leafValues>
-            1.0844799689948559e-02 -5.3815227746963501e-01
-            7.5545585155487061e-01 -4.2718842625617981e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9134284973144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2068 2.3365000000000000e+03 0 -1 2069
-            1.2850000000000000e+02 -2 -3 2070 3.4845000000000000e+03</internalNodes>
-          <leafValues>
-            8.5452580451965332e-01 -5.0535249710083008e-01
-            7.7388888597488403e-01 -6.3630655407905579e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.9335205078125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2071 7.5000000000000000e+00 0 -1 2072
-            6.5000000000000000e+00 -2 -3 2073 2.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.2057535648345947e-01 2.0091684162616730e-01
-            -6.9147127866744995e-01 6.4241760969161987e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9819751739501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2074 1.4500000000000000e+01 0 -1 2075
-            1.3500000000000000e+01 -2 -3 2076 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3421977758407593e-01 4.8454797267913818e-01
-            -3.7337201833724976e-01 3.2126367092132568e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9756664276123047e+01</treeThreshold>
-          <internalNodes>
-            1 2 2077 3.7550000000000000e+02 0 -1 2078
-            8.1500000000000000e+01 -2 -3 2079 14.</internalNodes>
-          <leafValues>
-            -6.3086077570915222e-02 5.7233673334121704e-01 1.
-            -9.5777195692062378e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0291542053222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2080 3.5000000000000000e+00 0 -1 2081
-            2.5000000000000000e+00 -2 -3 2082 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0069408416748047e-01 6.3710403442382812e-01
-            -4.9769634008407593e-01 1.1464314162731171e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0335617065429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2083 6.0500000000000000e+01 0 -1 2084 235. -2 -3 2085
-            6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            6.0332548618316650e-01 -4.5363491773605347e-01
-            -7.2721785306930542e-01 2.7224572841078043e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.9978572845458984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2086 2145. 0 -1 2087 5.0000000000000000e-01 -2 -3 2088
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9418591260910034e-01 -7.1563631296157837e-01
-            -5.4690980911254883e-01 2.3341998457908630e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0145259857177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2089 4.8350000000000000e+02 0 -1 2090
-            5.3500000000000000e+01 -2 -3 2091 5.0550000000000000e+02</internalNodes>
-          <leafValues>
-            5.3724527359008789e-01 -1.2441903352737427e-01
-            -6.5049791336059570e-01 2.5399866700172424e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0507656097412109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2092 2.7500000000000000e+01 0 -1 2093
-            5.5000000000000000e+00 -2 -3 2094 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4425510168075562e-01 -7.4231290817260742e-01
-            -2.6776736974716187e-01 3.6239382624626160e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0473968505859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2095 5.0000000000000000e-01 0 -1 2096
-            2.5500000000000000e+01 -2 -3 2097 1587.</internalNodes>
-          <leafValues>
-            -7.2751653194427490e-01 4.5861607789993286e-01
-            5.5637544393539429e-01 -3.6810955405235291e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0842075347900391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2098 5.1150000000000000e+02 0 -1 2099 1169. -2 -3 2100
-            2.0150000000000000e+02</internalNodes>
-          <leafValues>
-            -3.0562120676040649e-01 8.1614106893539429e-01
-            7.2896146774291992e-01 -1.8503957986831665e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0462539672851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2101 8.3500000000000000e+01 0 -1 2102
-            3.0500000000000000e+01 -2 -3 2103 2.9850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.2488976418972015e-02 4.4352260231971741e-01
-            5.2298051118850708e-01 -8.3577710390090942e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1029483795166016e+01</treeThreshold>
-          <internalNodes>
-            1 2 2104 5.0000000000000000e-01 0 -1 2105
-            1.6500000000000000e+01 -2 -3 2106 2.8650000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2287323176860809e-02 5.6694161891937256e-01
-            -5.0430041551589966e-01 2.6749575138092041e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0533782958984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2107 1.5000000000000000e+00 0 -1 2108 86. -2 -3 2109
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.6476197242736816e-01 -3.5366341471672058e-01
-            1.1941082775592804e-01 -4.9569913744926453e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1014225006103516e+01</treeThreshold>
-          <internalNodes>
-            1 2 2110 8.5500000000000000e+01 0 -1 2111
-            7.1500000000000000e+01 -2 -3 2112 3.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2236501574516296e-01 5.3735041618347168e-01
-            4.8043999075889587e-01 -8.1549012660980225e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1214355468750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2113 5.0000000000000000e-01 0 -1 2114 5423. -2 -3 2115
-            3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.3166511058807373e-01 -1.0317980498075485e-01
-            -8.1713062524795532e-01 -4.8018395900726318e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.1207153320312500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2116 6.9750000000000000e+02 0 -1 2117
-            2.3500000000000000e+01 -2 -3 2118 1299.</internalNodes>
-          <leafValues>
-            -5.5850952863693237e-01 4.5436400175094604e-01
-            -4.2946615815162659e-01 4.6700772643089294e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1372627258300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2119 9.7500000000000000e+01 0 -1 2120
-            1.2500000000000000e+01 -2 -3 2121 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3579089641571045e-01 1.6547182202339172e-01
-            -8.7968140840530396e-01 5.9617185592651367e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1535186767578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2122 4.0550000000000000e+02 0 -1 2123
-            8.5000000000000000e+00 -2 -3 2124 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4796415567398071e-01 2.2591431438922882e-01
-            -6.4731520414352417e-01 6.6429591178894043e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1438594818115234e+01</treeThreshold>
-          <internalNodes>
-            1 2 2125 7.5000000000000000e+00 0 -1 2126
-            1.6500000000000000e+01 -2 -3 2127 2.0464500000000000e+04</internalNodes>
-          <leafValues>
-            -7.6974302530288696e-01 5.8108645677566528e-01
-            1.4914943277835846e-01 -4.0168645977973938e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1837162017822266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2128 1.9150000000000000e+02 0 -1 2129
-            2.5000000000000000e+00 -2 -3 2130 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0682370066642761e-01 -6.2734222412109375e-01
-            -3.0841422080993652e-01 3.9856877923011780e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1491020202636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2131 9.5000000000000000e+00 0 -1 2132
-            1.0286500000000000e+04 -2 -3 2133 1.5750000000000000e+02</internalNodes>
-          <leafValues>
-            4.2527648806571960e-01 -3.4614086151123047e-01
-            -6.1684650182723999e-01 1.9758818671107292e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.1886714935302734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2134 1.7500000000000000e+01 0 -1 2135
-            9.2500000000000000e+01 -2 -3 2136 18.</internalNodes>
-          <leafValues>
-            -1.2079064548015594e-01 3.9569309353828430e-01
-            3.3188980817794800e-01 -8.7485474348068237e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1790431976318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 2137 2.1500000000000000e+01 0 -1 2138
-            2.2500000000000000e+01 -2 -3 2139 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2500929683446884e-02 6.8664622306823730e-01
-            1.5717932581901550e-01 -6.7684161663055420e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2245330810546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2140 1.2135000000000000e+03 0 -1 2141
-            4.5000000000000000e+00 -2 -3 2142 5.2865000000000000e+03</internalNodes>
-          <leafValues>
-            3.3859279751777649e-01 -4.2644050717353821e-01
-            5.0935482978820801e-01 -4.1733506321907043e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2387325286865234e+01</treeThreshold>
-          <internalNodes>
-            1 2 2143 4.5000000000000000e+00 0 -1 2144
-            1.0500000000000000e+01 -2 -3 2145 209.</internalNodes>
-          <leafValues>
-            1.3510234653949738e-01 -9.6185976266860962e-01
-            1.4199161529541016e-01 -8.5389542579650879e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2084945678710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2146 11208. 0 -1 2147 5.0000000000000000e-01 -2 -3 2148
-            20248.</internalNodes>
-          <leafValues>
-            1.5907059609889984e-01 -3.8836613297462463e-01
-            8.0494099855422974e-01 -7.7658468484878540e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1984123229980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2149 2.3500000000000000e+01 0 -1 2150
-            2.3650000000000000e+02 -2 -3 2151 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1. -1. 4.0856447815895081e-01 -1.0082300007343292e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2277572631835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2152 1.2115000000000000e+03 0 -1 2153
-            1.5000000000000000e+00 -2 -3 2154 4.2995000000000000e+03</internalNodes>
-          <leafValues>
-            4.2784088850021362e-01 -8.9822685718536377e-01
-            2.9345232248306274e-01 -2.5083908438682556e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2472473144531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2155 9.4500000000000000e+01 0 -1 2156
-            1.0500000000000000e+01 -2 -3 2157 68.</internalNodes>
-          <leafValues>
-            6.5589077770709991e-02 -7.7099108695983887e-01
-            -7.4427002668380737e-01 1.9490025937557220e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2016971588134766e+01</treeThreshold>
-          <internalNodes>
-            1 2 2158 2.5000000000000000e+00 0 -1 2159
-            1.2500000000000000e+01 -2 -3 2160 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2139071226119995e-01 -5.5164831876754761e-01
-            -4.5550110936164856e-01 3.6315539479255676e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2252468109130859e+01</treeThreshold>
-          <internalNodes>
-            1 2 2161 1.5685000000000000e+03 0 -1 2162
-            4.5000000000000000e+00 -2 -3 2163 7.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6763184666633606e-01 -7.2583413124084473e-01
-            -4.7358104586601257e-01 2.3549596965312958e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1926944732666016e+01</treeThreshold>
-          <internalNodes>
-            1 2 2164 5.0000000000000000e-01 0 -1 2165
-            2.9500000000000000e+01 -2 -3 2166 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.4635341167449951e-01 4.7176876664161682e-01
-            1.2360874563455582e-01 -4.4846296310424805e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2441539764404297e+01</treeThreshold>
-          <internalNodes>
-            1 2 2167 1.3650000000000000e+02 0 -1 2168
-            7.5000000000000000e+00 -2 -3 2169 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0158129334449768e-01 -3.6455678939819336e-01
-            -9.0578240156173706e-01 5.1459383964538574e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1964569091796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2170 8.5000000000000000e+00 0 -1 2171
-            1.3226500000000000e+04 -2 -3 2172 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5410606861114502e-01 2.6482892036437988e-01
-            -4.7696748375892639e-01 6.1308634281158447e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1803714752197266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2173 2.6500000000000000e+01 0 -1 2174
-            4.5000000000000000e+00 -2 -3 2175 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.8156448602676392e-01 -8.6257112026214600e-01
-            4.0267577767372131e-01 -1.6085536777973175e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2505237579345703e+01</treeThreshold>
-          <internalNodes>
-            1 2 2176 4.2500000000000000e+01 0 -1 2177
-            7.9662500000000000e+04 -2 -3 2178 2.2050000000000000e+02</internalNodes>
-          <leafValues>
-            4.3292667716741562e-02 -8.7512964010238647e-01
-            -2.3395214229822159e-02 7.0152431726455688e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2662498474121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2179 2.2535000000000000e+03 0 -1 2180 5489. -2 -3 2181
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.3394173979759216e-01 6.8779164552688599e-01
-            4.8814722895622253e-01 -3.9524573087692261e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2619869232177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2182 3.0135000000000000e+03 0 -1 2183 4966. -2 -3 2184
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0220034718513489e-01 8.1261235475540161e-01
-            1.7436875402927399e-01 -3.7351670861244202e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2884567260742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2185 2.5000000000000000e+00 0 -1 2186 286. -2 -3 2187
-            2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            8.4548860788345337e-01 -9.6311759948730469e-01
-            -3.5037949681282043e-01 2.6469662785530090e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2971755981445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2188 4.5000000000000000e+00 0 -1 2189
-            5.6350000000000000e+02 -2 -3 2190 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5842654109001160e-01 -7.6083594560623169e-01
-            -6.3569843769073486e-01 1.1528482288122177e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2904327392578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2191 19751. 0 -1 2192 5709. -2 -3 2193
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.8615106344223022e-01 -6.7431032657623291e-02
-            8.1077980995178223e-01 -7.9040503501892090e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3428482055664062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2194 5.2150000000000000e+02 0 -1 2195 112. -2 -3 2196
-            4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.9560300707817078e-01 6.3393580913543701e-01
-            -7.4229598045349121e-01 5.2415388822555542e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3408718109130859e+01</treeThreshold>
-          <internalNodes>
-            1 2 2197 2.2850000000000000e+02 0 -1 2198
-            9.5000000000000000e+00 -2 -3 2199 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5528714656829834e-01 3.2386130094528198e-01
-            -5.1321542263031006e-01 3.7662333250045776e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3479297637939453e+01</treeThreshold>
-          <internalNodes>
-            1 2 2200 1.0500000000000000e+01 0 -1 2201
-            1.2875000000000000e+03 -2 -3 2202 1.1550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.5136082470417023e-02 5.4068171977996826e-01
-            -5.4428064823150635e-01 3.5270053148269653e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3459232330322266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2203 5.6350000000000000e+02 0 -1 2204
-            3.6500000000000000e+01 -2 -3 2205 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.6665899157524109e-01 2.9732996225357056e-01
-            8.9094859361648560e-01 -7.8570848703384399e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3715244293212891e+01</treeThreshold>
-          <internalNodes>
-            1 2 2206 1.3750000000000000e+02 0 -1 2207
-            5.5950000000000000e+02 -2 -3 2208 1.7350000000000000e+02</internalNodes>
-          <leafValues>
-            8.2382661104202271e-01 -9.3905463814735413e-02
-            -7.7598297595977783e-01 -6.1380777508020401e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.4063674926757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2209 1.5000000000000000e+00 0 -1 2210
-            1.1500000000000000e+01 -2 -3 2211 3.1850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.9411342144012451e-01 3.4842905402183533e-01
-            -4.4360893964767456e-01 4.8869660496711731e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4111953735351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2212 2.5000000000000000e+00 0 -1 2213
-            4.1500000000000000e+01 -2 -3 2214 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.3706158995628357e-01 4.4370284676551819e-01
-            5.4362642765045166e-01 -5.1952922344207764e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4159660339355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2215 1.5000000000000000e+00 0 -1 2216
-            5.7500000000000000e+01 -2 -3 2217 1.0775000000000000e+03</internalNodes>
-          <leafValues>
-            -2.5581914931535721e-02 6.6174793243408203e-01
-            4.0115654468536377e-01 -3.5893636941909790e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4437599182128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2218 921. 0 -1 2219 4.5000000000000000e+00 -2 -3 2220
-            2.9045000000000000e+03</internalNodes>
-          <leafValues>
-            3.1526345014572144e-01 -7.0185899734497070e-01
-            2.7793204784393311e-01 -4.8113667964935303e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4332015991210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2221 1.8985000000000000e+03 0 -1 2222
-            7.8250000000000000e+02 -2 -3 2223 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.8789478540420532e-01 6.2446802854537964e-01
-            -7.3467957973480225e-01 7.2612441144883633e-03</leafValues></_>
-        <_>
-          <treeThreshold>6.4401939392089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2224 2.5000000000000000e+00 0 -1 2225
-            3.7500000000000000e+01 -2 -3 2226 5.4850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1204963922500610e-01 6.2827998399734497e-01
-            -5.4985451698303223e-01 6.9924682378768921e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.4601165771484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2227 3.5000000000000000e+00 0 -1 2228
-            4.4500000000000000e+01 -2 -3 2229 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2580995559692383e-01 5.1435238122940063e-01
-            5.3874686360359192e-02 -5.6130063533782959e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4761596679687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2230 7.5000000000000000e+00 0 -1 2231
-            3.5000000000000000e+00 -2 -3 2232 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5083559751510620e-01 3.6957365274429321e-01
-            -4.0680039674043655e-02 -7.7190446853637695e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4306961059570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2233 160. 0 -1 2234 127. -2 -3 2235
-            9.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1852338314056396e-01 -6.8148994445800781e-01
-            -4.8492997884750366e-01 3.1643366813659668e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4767280578613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2236 2.5000000000000000e+00 0 -1 2237
-            7.5250000000000000e+02 -2 -3 2238 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.6031954884529114e-01 -6.2284696102142334e-01
-            4.7282892465591431e-01 -4.0902397036552429e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4466903686523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2239 1.4250000000000000e+02 0 -1 2240
-            4.5000000000000000e+00 -2 -3 2241 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0185246169567108e-01 -5.8319956064224243e-01
-            -6.2095612287521362e-01 4.2880809307098389e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4761924743652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2242 1.1605000000000000e+03 0 -1 2243 2073. -2 -3 2244
-            4.6555000000000000e+03</internalNodes>
-          <leafValues>
-            -7.2359293699264526e-01 7.9880434274673462e-01
-            6.1722189188003540e-01 -1.1455553770065308e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5016494750976562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2245 1.0350000000000000e+02 0 -1 2246
-            4.4850000000000000e+02 -2 -3 2247 6.2550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.7635171115398407e-02 4.6874949336051941e-01
-            -8.0271768569946289e-01 3.7331908941268921e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5212265014648438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2248 6.2150000000000000e+02 0 -1 2249 326. -2 -3 2250
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.9577379524707794e-01 -7.0703411102294922e-01
-            5.1214373111724854e-01 -7.2338587045669556e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5121826171875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2251 9.7500000000000000e+01 0 -1 2252
-            2.3550000000000000e+02 -2 -3 2253 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6985685825347900e-01 -8.9037990570068359e-01
-            4.9876618385314941e-01 -9.0437032282352448e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5343742370605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2254 1.9500000000000000e+01 0 -1 2255 1133. -2 -3 2256
-            1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            4.8251938819885254e-01 -6.2672054767608643e-01
-            2.2191496193408966e-01 -7.7584463357925415e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5446708679199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2257 1.2555000000000000e+03 0 -1 2258 1315. -2 -3 2259
-            1.4525000000000000e+03</internalNodes>
-          <leafValues>
-            5.0016152858734131e-01 -3.4823906421661377e-01
-            8.1143665313720703e-01 -3.6510743200778961e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5472305297851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2260 5.8500000000000000e+01 0 -1 2261
-            9.2250000000000000e+02 -2 -3 2262 9.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5597516447305679e-02 -7.3596054315567017e-01
-            7.7482932806015015e-01 -2.4384480714797974e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5680641174316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2263 2.8500000000000000e+01 0 -1 2264
-            1.9500000000000000e+01 -2 -3 2265 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.1095438003540039e-01 2.7406066656112671e-01
-            4.7238901257514954e-02 -7.9554700851440430e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5828727722167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2266 6.5000000000000000e+00 0 -1 2267 46. -2 -3 2268
-            2.3350000000000000e+02</internalNodes>
-          <leafValues>
-            4.0098896622657776e-01 -3.0355367064476013e-01
-            -5.7611280679702759e-01 2.4870538711547852e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6055801391601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2269 1.1235000000000000e+03 0 -1 2270 1791. -2 -3 2271
-            2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2222037911415100e-01 -5.7381504774093628e-01
-            -5.7501715421676636e-01 2.7313375473022461e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5979278564453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2272 1.6500000000000000e+01 0 -1 2273
-            1.1500000000000000e+01 -2 -3 2274 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 7.4951916933059692e-01 -2.2320111095905304e-01
-            6.2808310985565186e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5982803344726562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2275 8.8500000000000000e+01 0 -1 2276
-            5.0000000000000000e-01 -2 -3 2277 303.</internalNodes>
-          <leafValues>
-            -4.2098733782768250e-01 4.7041663527488708e-01
-            -8.3091259002685547e-01 3.5231374204158783e-03</leafValues></_>
-        <_>
-          <treeThreshold>6.5862815856933594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2278 5.0000000000000000e-01 0 -1 2279
-            7.5000000000000000e+00 -2 -3 2280 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1455779075622559e-01 6.9095128774642944e-01
-            -3.3799609541893005e-01 3.8651108741760254e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5698982238769531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2281 2.5000000000000000e+00 0 -1 2282
-            6.5000000000000000e+00 -2 -3 2283 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1540318280458450e-01 -8.0706399679183960e-01
-            4.5586335659027100e-01 -1.6382929682731628e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5865753173828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2284 4.1500000000000000e+01 0 -1 2285 322. -2 -3 2286
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.6401643455028534e-02 7.0236140489578247e-01
-            8.3611255884170532e-01 -3.3973169326782227e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6324913024902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2287 1180. 0 -1 2288 5.0000000000000000e-01 -2 -3 2289
-            4.9850000000000000e+02</internalNodes>
-          <leafValues>
-            5.4826909303665161e-01 -6.1790186166763306e-01
-            4.9796470999717712e-01 -7.6435178518295288e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.6116767883300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2290 1.0086500000000000e+04 0 -1 2291
-            5.0000000000000000e-01 -2 -3 2292 1.4915000000000000e+03</internalNodes>
-          <leafValues>
-            2.2847035527229309e-01 -5.0997734069824219e-01
-            5.6548178195953369e-01 -2.0814302563667297e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6620307922363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2293 1.2195000000000000e+03 0 -1 2294
-            1.9055000000000000e+03 -2 -3 2295 2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3149933815002441e-01 6.4176028966903687e-01
-            6.0821473598480225e-01 -3.0888804793357849e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6746444702148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2296 2.5000000000000000e+00 0 -1 2297
-            1.0150000000000000e+02 -2 -3 2298 7.2585000000000000e+03</internalNodes>
-          <leafValues>
-            5.9253281354904175e-01 -3.7904369831085205e-01
-            2.6760953664779663e-01 -4.0275105834007263e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6943595886230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2299 1.1500000000000000e+01 0 -1 2300
-            2.4500000000000000e+01 -2 -3 2301 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8942744731903076e-01 1. -5.9422683715820312e-01
-            1.9715292751789093e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6331527709960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2302 2.4500000000000000e+01 0 -1 2303
-            8.7500000000000000e+01 -2 -3 2304 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3940645158290863e-01 3.9157524704933167e-01
-            1.0247871279716492e-01 -7.5354349613189697e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6475265502929688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2305 6.5000000000000000e+00 0 -1 2306
-            2.3500000000000000e+01 -2 -3 2307 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6529741287231445e-01 4.5638066530227661e-01
-            -5.1855069398880005e-01 1.4373423159122467e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6999214172363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2308 9.4500000000000000e+01 0 -1 2309
-            2.0500000000000000e+01 -2 -3 2310 195.</internalNodes>
-          <leafValues>
-            -7.4185177683830261e-02 5.2394580841064453e-01
-            3.7441125512123108e-01 -9.3662869930267334e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7006050109863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2311 3026. 0 -1 2312 2.2500000000000000e+01 -2 -3 2313
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7473273277282715e-01 5.1518291234970093e-01
-            -6.7311668395996094e-01 6.8403608165681362e-03</leafValues></_>
-        <_>
-          <treeThreshold>6.7129646301269531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2314 1.7500000000000000e+01 0 -1 2315
-            4.4500000000000000e+01 -2 -3 2316 2961.</internalNodes>
-          <leafValues>
-            -2.2424821555614471e-01 3.6378455162048340e-01
-            -7.0937103033065796e-01 1.6935887932777405e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7392829895019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2317 5.5000000000000000e+00 0 -1 2318
-            1.0500000000000000e+01 -2 -3 2319 46.</internalNodes>
-          <leafValues>
-            6.3752532005310059e-01 -1.6769923269748688e-01
-            -3.9633530378341675e-01 2.1741947531700134e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7652908325195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2320 4.0500000000000000e+01 0 -1 2321
-            3.7750000000000000e+02 -2 -3 2322 288.</internalNodes>
-          <leafValues>
-            7.8108507394790649e-01 -8.9046698808670044e-01
-            2.6008096337318420e-01 -3.1209379434585571e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7522987365722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2323 2.8450000000000000e+02 0 -1 2324
-            2.1500000000000000e+01 -2 -3 2325 3.1615000000000000e+03</internalNodes>
-          <leafValues>
-            -2.6827138662338257e-01 4.4363465905189514e-01
-            -5.0426739454269409e-01 3.2839775085449219e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7682723999023438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2326 1.4550000000000000e+02 0 -1 2327
-            5.0000000000000000e-01 -2 -3 2328 187.</internalNodes>
-          <leafValues>
-            3.3854234218597412e-01 -1.9424141943454742e-01
-            -7.8695666790008545e-01 1.0578002780675888e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7990608215332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2329 1.4500000000000000e+01 0 -1 2330 55. -2 -3 2331
-            4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3669831752777100e-01 -7.9035413265228271e-01
-            4.7996759414672852e-01 -1.4678025245666504e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7773666381835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2332 4.4450000000000000e+02 0 -1 2333
-            6.5000000000000000e+00 -2 -3 2334 87.</internalNodes>
-          <leafValues>
-            3.0000856518745422e-01 -5.1463776826858521e-01
-            -4.2596080899238586e-01 5.2854359149932861e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8242584228515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2335 2.3325000000000000e+03 0 -1 2336 10142. -2 -3 2337
-            1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1795878410339355e-01 7.2833043336868286e-01
-            5.5236649513244629e-01 -7.2167828679084778e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7640380859375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2338 1.9500000000000000e+01 0 -1 2339
-            5.5000000000000000e+00 -2 -3 2340 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.1623830795288086e-01 2.8547397255897522e-01
-            2.7238869667053223e-01 -6.8565303087234497e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8166297912597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2341 887. 0 -1 2342 1.8950000000000000e+02 -2 -3 2343
-            1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.8323717117309570e-01 -8.4304898977279663e-01
-            5.2591782808303833e-01 -1.1249145865440369e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7966316223144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2344 1.3500000000000000e+01 0 -1 2345
-            5.0500000000000000e+01 -2 -3 2346 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7582974433898926e-01 8.8582295179367065e-01
-            4.5189410448074341e-01 -1.9998365640640259e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8363616943359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2347 9519. 0 -1 2348 9.9355000000000000e+03 -2 -3 2349
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.6369476020336151e-02 5.6953996419906616e-01
-            6.4817821979522705e-01 -6.5638613700866699e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8680084228515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2350 1.4500000000000000e+01 0 -1 2351
-            2.2500000000000000e+01 -2 -3 2352 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3236002624034882e-01 6.2589818239212036e-01
-            -4.6971350908279419e-01 3.0481177568435669e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8636512756347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2353 2.3491500000000000e+04 0 -1 2354
-            1.5000000000000000e+00 -2 -3 2355 31.</internalNodes>
-          <leafValues>
-            2.9175955057144165e-01 -2.0415711402893066e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>6.8339431762695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2356 2.1500000000000000e+01 0 -1 2357
-            5.0000000000000000e-01 -2 -3 2358 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.2874211072921753e-01 -4.4592785835266113e-01
-            -9.4336575269699097e-01 3.3847200870513916e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8127563476562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2359 2.7500000000000000e+01 0 -1 2360
-            4.5000000000000000e+00 -2 -3 2361 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4308325946331024e-01 -5.4449397325515747e-01
-            5.8717787265777588e-01 -2.1186867356300354e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8410385131835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2362 9.5000000000000000e+00 0 -1 2363
-            5.5000000000000000e+00 -2 -3 2364 1.2850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.1505768448114395e-01 -9.6275746822357178e-01
-            2.8282612562179565e-01 -3.5639968514442444e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8815826416015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2365 1.9125000000000000e+03 0 -1 2366
-            6.5000000000000000e+00 -2 -3 2367 1.2925000000000000e+03</internalNodes>
-          <leafValues>
-            7.6003736257553101e-01 -1.8823170661926270e-01
-            -3.1990632414817810e-01 3.2092514634132385e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8693199157714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2368 1.5500000000000000e+01 0 -1 2369
-            4.0445000000000000e+03 -2 -3 2370 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2088183462619781e-01 -8.6471045017242432e-01
-            4.9937435984611511e-01 -1.2262738496065140e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9212486267089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2371 1.1500000000000000e+01 0 -1 2372
-            1.2500000000000000e+01 -2 -3 2373 1.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8216619491577148e-01 7.6504099369049072e-01
-            -4.9605194479227066e-02 5.4096341133117676e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9281822204589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2374 3.4500000000000000e+01 0 -1 2375
-            6.5000000000000000e+00 -2 -3 2376 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0201843976974487e-01 3.5367730259895325e-01 1.
-            -3.9128544926643372e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9379959106445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2377 8.7500000000000000e+01 0 -1 2378
-            7.5000000000000000e+00 -2 -3 2379 273.</internalNodes>
-          <leafValues>
-            -5.3956866264343262e-01 3.2018893957138062e-01
-            -5.9921985864639282e-01 2.5184553861618042e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9302131652832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2380 5.0000000000000000e-01 0 -1 2381
-            4.4500000000000000e+01 -2 -3 2382 1.9204500000000000e+04</internalNodes>
-          <leafValues>
-            -5.0899110734462738e-02 6.8976759910583496e-01
-            -7.7828548848628998e-02 -9.1394501924514771e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9691947937011719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2383 6.7500000000000000e+01 0 -1 2384
-            3.2850000000000000e+02 -2 -3 2385 1224.</internalNodes>
-          <leafValues>
-            1.1171031743288040e-02 7.3188757896423340e-01
-            -8.6419099569320679e-01 2.1196028217673302e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9572067260742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2386 1.1235000000000000e+03 0 -1 2387
-            8.4050000000000000e+02 -2 -3 2388 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.5439936518669128e-01 6.1207121610641479e-01
-            1.9708819687366486e-01 -4.6194908022880554e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9861968994140625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2389 9.1500000000000000e+01 0 -1 2390
-            1.0500000000000000e+01 -2 -3 2391 4.1495000000000000e+03</internalNodes>
-          <leafValues>
-            1.0701948404312134e-01 -5.6979161500930786e-01
-            -9.6821188926696777e-02 7.0975506305694580e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0039260864257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2392 1.1500000000000000e+01 0 -1 2393 2897. -2 -3 2394
-            2.4350000000000000e+02</internalNodes>
-          <leafValues>
-            -9.1259753704071045e-01 1. 1.7728993296623230e-01
-            -7.3356288671493530e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9705703735351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2395 5.0000000000000000e-01 0 -1 2396
-            2.0500000000000000e+01 -2 -3 2397 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.2813202142715454e-01 4.4198977947235107e-01
-            -4.8570594191551208e-01 1.9584445655345917e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9970062255859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2398 5.0000000000000000e-01 0 -1 2399
-            3.1500000000000000e+01 -2 -3 2400 3831.</internalNodes>
-          <leafValues>
-            -6.4685755968093872e-01 7.3702591657638550e-01
-            -2.6504144072532654e-01 5.5941796302795410e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9949569702148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2401 5.0000000000000000e-01 0 -1 2402 5. -2 -3 2403
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.8435417413711548e-01 5.8749139308929443e-01
-            2.7166697382926941e-01 -3.1555649638175964e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0117141723632812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2404 2596. 0 -1 2405 9.1496500000000000e+04 -2 -3 2406
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.8573900461196899e-01 1.6757574677467346e-01
-            8.5581427812576294e-01 -9.4101238250732422e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0224205017089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2407 5749. 0 -1 2408 79. -2 -3 2409 208.</internalNodes>
-          <leafValues>
-            1. -1. 1.0706392675638199e-01 -7.7825403213500977e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0221618652343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2410 5.1855000000000000e+03 0 -1 2411
-            4.6500000000000000e+01 -2 -3 2412 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6203452944755554e-01 3.4422519803047180e-01
-            -2.5855610147118568e-03 -7.1835225820541382e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0728790283203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2413 1.3500000000000000e+01 0 -1 2414
-            1.0950000000000000e+02 -2 -3 2415 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9084104895591736e-01 -8.0712783336639404e-01
-            5.5798757076263428e-01 -1.0734169185161591e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0351577758789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2416 1.3405000000000000e+03 0 -1 2417
-            3.5000000000000000e+00 -2 -3 2418 342.</internalNodes>
-          <leafValues>
-            4.1194143891334534e-01 -3.7721332907676697e-01
-            -5.5014234781265259e-01 5.2194917201995850e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0136901855468750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2419 3.7345000000000000e+03 0 -1 2420
-            3.2500000000000000e+01 -2 -3 2421 9.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2743006944656372e-01 -2.1467541158199310e-01
-            -8.1029343605041504e-01 7.0203500986099243e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9686508178710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2422 1.2185000000000000e+03 0 -1 2423
-            1.5000000000000000e+00 -2 -3 2424 4.8755000000000000e+03</internalNodes>
-          <leafValues>
-            2.0333147048950195e-01 -4.5039632916450500e-01
-            4.4757398962974548e-01 -5.9627413749694824e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0005889892578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2425 6.4500000000000000e+01 0 -1 2426
-            3.7150000000000000e+02 -2 -3 2427 6.7750000000000000e+02</internalNodes>
-          <leafValues>
-            2.6681974530220032e-01 -5.9953171014785767e-01
-            3.1938493251800537e-01 -6.9817471504211426e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0428718566894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2428 2.6500000000000000e+01 0 -1 2429
-            1.7650000000000000e+02 -2 -3 2430 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5495415367186069e-03 -6.1552453041076660e-01
-            -5.8272439241409302e-01 7.1704763174057007e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0936927795410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2431 1.0950000000000000e+02 0 -1 2432
-            1.2500000000000000e+01 -2 -3 2433 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.7761175334453583e-02 -6.1159509420394897e-01
-            5.0820809602737427e-01 -1.4290602505207062e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1328254699707031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2434 37. 0 -1 2435 108. -2 -3 2436
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2559959888458252e-01 -9.0183192491531372e-01
-            3.9132472872734070e-01 -1.6153934597969055e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1377151489257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2437 1.5000000000000000e+00 0 -1 2438
-            4.1500000000000000e+01 -2 -3 2439 136.</internalNodes>
-          <leafValues>
-            -1.6022360324859619e-01 4.5697069168090820e-01
-            -5.8138531446456909e-01 5.7625991106033325e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1590606689453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2440 2.2950000000000000e+02 0 -1 2441 986. -2 -3 2442
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5947124958038330e-01 2.1345110237598419e-01
-            5.1724910736083984e-01 -7.9673564434051514e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1604888916015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2443 9.5000000000000000e+00 0 -1 2444
-            2.3500000000000000e+01 -2 -3 2445 1.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6063753962516785e-01 3.1602507829666138e-01
-            -5.2265387773513794e-01 6.4050400257110596e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1843421936035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2446 2.3365000000000000e+03 0 -1 2447
-            1.3333500000000000e+04 -2 -3 2448 7.8250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.7870197296142578e-01 9.2290049791336060e-01
-            6.9137138128280640e-01 -1.5123842656612396e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1939323425292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2449 3.5000000000000000e+00 0 -1 2450
-            1.8500000000000000e+01 -2 -3 2451 6.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3932064771652222e-01 4.5498287677764893e-01
-            -6.5867853164672852e-01 9.6776336431503296e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.1796112060546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2452 1.0050000000000000e+02 0 -1 2453
-            6.5000000000000000e+00 -2 -3 2454 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1488319337368011e-01 -3.8114818930625916e-01
-            -9.3055361509323120e-01 9.2053020000457764e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1826210021972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2455 5.3875000000000000e+03 0 -1 2456
-            4.0150000000000000e+02 -2 -3 2457 203.</internalNodes>
-          <leafValues>
-            3.6667090654373169e-01 -3.2799699902534485e-01
-            -2.9070058465003967e-01 6.2547647953033447e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1566932678222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2458 1164. 0 -1 2459 12122. -2 -3 2460
-            1.2565000000000000e+03</internalNodes>
-          <leafValues>
-            -8.4399074316024780e-01 8.6422222852706909e-01
-            -2.5927615165710449e-01 3.1698527932167053e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2048255920410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2461 7.0500000000000000e+01 0 -1 2462
-            5.0000000000000000e-01 -2 -3 2463 113.</internalNodes>
-          <leafValues>
-            4.2299839854240417e-01 -3.7696704268455505e-01
-            4.8132598400115967e-01 -8.4420484304428101e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2493713378906250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2464 1.5000000000000000e+00 0 -1 2465 24. -2 -3 2466
-            1.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3568606376647949e-01 4.4545513391494751e-01
-            4.5487869530916214e-02 -6.0882014036178589e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2295455932617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2467 2.6500000000000000e+01 0 -1 2468
-            2.5000000000000000e+00 -2 -3 2469 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9328838586807251e-01 -9.2098551988601685e-01
-            2.8382617235183716e-01 -3.1953519582748413e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2064254760742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2470 5.6500000000000000e+01 0 -1 2471
-            3.5000000000000000e+00 -2 -3 2472 2.2450000000000000e+02</internalNodes>
-          <leafValues>
-            2.8244340419769287e-01 -2.9833537340164185e-01 -1.
-            8.5370278358459473e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2284309387207031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2473 4.9500000000000000e+01 0 -1 2474 4038. -2 -3 2475
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4302046895027161e-01 -8.1761771440505981e-01
-            -7.4983465671539307e-01 2.2005748748779297e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2424072265625000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2476 5.0000000000000000e-01 0 -1 2477
-            4.9525000000000000e+03 -2 -3 2478 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.8115087151527405e-01 -6.6690814495086670e-01
-            1.3976120948791504e-01 -5.6789624691009521e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2313995361328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2479 3.2500000000000000e+01 0 -1 2480
-            1.1926500000000000e+04 -2 -3 2481 6.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.5613843500614166e-02 -7.5880628824234009e-01
-            2.2690546512603760e-01 -6.3682055473327637e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2143783569335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2482 5.0000000000000000e-01 0 -1 2483
-            5.7535000000000000e+03 -2 -3 2484 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2257243394851685e-01 8.5957908630371094e-01
-            3.2697901129722595e-01 -1.7020969092845917e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2681999206542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2485 7.1500000000000000e+01 0 -1 2486 188. -2 -3 2487
-            177.</internalNodes>
-          <leafValues>
-            -2.7773711085319519e-01 6.7274010181427002e-01
-            -3.3517399430274963e-01 7.5859177112579346e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2897277832031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2488 6.7500000000000000e+01 0 -1 2489
-            2.1500000000000000e+01 -2 -3 2490 7.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9514396190643311e-01 2.1528589725494385e-01 1.
-            -7.2838509082794189e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2998519897460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2491 6.5000000000000000e+00 0 -1 2492 161. -2 -3 2493
-            9578.</internalNodes>
-          <leafValues>
-            6.2451672554016113e-01 -1.9713717699050903e-01
-            1.0124062746763229e-01 -5.1373565196990967e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3003601074218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2494 2.3415000000000000e+03 0 -1 2495
-            7.6500000000000000e+01 -2 -3 2496 1.4555000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9544225931167603e-01 3.1051948666572571e-01
-            7.0642524957656860e-01 1.7271263524889946e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.3047424316406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2497 1.5500000000000000e+01 0 -1 2498
-            1.1500000000000000e+01 -2 -3 2499 5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4771478176116943e-01 -8.5552608966827393e-01
-            3.6829981207847595e-01 -1.8874453008174896e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3427375793457031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2500 6.2500000000000000e+01 0 -1 2501 34698. -2 -3 2502
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6296713054180145e-01 -6.3167887926101685e-01
-            3.7994962930679321e-01 -4.6771416068077087e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3244293212890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2503 2.3500000000000000e+01 0 -1 2504
-            3.8500000000000000e+01 -2 -3 2505 427.</internalNodes>
-          <leafValues>
-            -2.9058054089546204e-01 5.2562189102172852e-01
-            6.4414465427398682e-01 -8.3316773176193237e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3628913879394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2506 4.5000000000000000e+00 0 -1 2507
-            8.5000000000000000e+00 -2 -3 2508 1.6925000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7814975380897522e-01 4.8170346021652222e-01
-            -6.5349429845809937e-01 5.4887872189283371e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.3769676208496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2509 15430. 0 -1 2510 1.5950000000000000e+02 -2 -3 2511
-            1.2615000000000000e+03</internalNodes>
-          <leafValues>
-            4.3867623805999756e-01 -7.6247996091842651e-01
-            -4.5795723795890808e-01 2.0065939426422119e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3981689453125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2512 7.3500000000000000e+01 0 -1 2513
-            2.6500000000000000e+01 -2 -3 2514 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2215524911880493e-01 2.1201618015766144e-01
-            -7.7795881032943726e-01 7.5186353921890259e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3843399047851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2515 3.5000000000000000e+00 0 -1 2516 9. -2 -3 2517
-            1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 6.5247339010238647e-01 -5.3328835964202881e-01
-            6.5298572182655334e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.3923049926757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2518 5.2950000000000000e+02 0 -1 2519
-            1.8500000000000000e+01 -2 -3 2520 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7425521612167358e-01 -7.6726049184799194e-01
-            2.3897975683212280e-01 -5.1008826494216919e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3826148986816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2521 7.0500000000000000e+01 0 -1 2522
-            2.8500000000000000e+01 -2 -3 2523 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.1504331231117249e-01 -6.4958560466766357e-01
-            6.4581304788589478e-01 -9.6902929246425629e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4119972229003906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2524 163. 0 -1 2525 2.0450000000000000e+02 -2 -3 2526
-            1486.</internalNodes>
-          <leafValues>
-            7.2227291762828827e-02 -4.8131951689720154e-01
-            6.7641806602478027e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>7.4284828186035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2527 9.5000000000000000e+00 0 -1 2528
-            5.4500000000000000e+01 -2 -3 2529 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1673867106437683e-01 -9.8935294151306152e-01
-            -8.0995440483093262e-01 1.6485558450222015e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3767173767089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2530 3.3500000000000000e+01 0 -1 2531
-            2.0500000000000000e+01 -2 -3 2532 326.</internalNodes>
-          <leafValues>
-            8.5764698684215546e-02 -5.1765644550323486e-01
-            -3.3359569311141968e-01 5.3560173511505127e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4017349243164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2533 1144. 0 -1 2534 1038. -2 -3 2535 227.</internalNodes>
-          <leafValues>
-            -8.5851883888244629e-01 8.0733579397201538e-01
-            2.5017657876014709e-01 -4.6748492121696472e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4431625366210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2536 8.6500000000000000e+01 0 -1 2537 7. -2 -3 2538
-            4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0281429290771484e-01 -6.8806976079940796e-01
-            4.1427880525588989e-01 -1.3120372593402863e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4155914306640625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2539 2.8500000000000000e+01 0 -1 2540
-            1.2500000000000000e+01 -2 -3 2541 352.</internalNodes>
-          <leafValues>
-            4.0651530027389526e-01 -2.7571403980255127e-01
-            6.4302980899810791e-01 -6.1632806062698364e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4377723693847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2542 4.5500000000000000e+01 0 -1 2543
-            4.5000000000000000e+00 -2 -3 2544 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1374966204166412e-01 -8.0584329366683960e-01
-            -6.8813514709472656e-01 2.2180862724781036e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4892883300781250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2545 7.2450000000000000e+02 0 -1 2546
-            8.2650000000000000e+02 -2 -3 2547 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.0470861941576004e-01 5.1516324281692505e-01
-            1.2213422358036041e-01 -7.9457265138626099e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4932922363281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2548 1.4925000000000000e+03 0 -1 2549
-            2.5625000000000000e+03 -2 -3 2550 4.0125000000000000e+03</internalNodes>
-          <leafValues>
-            -1.9472637213766575e-03 8.4926861524581909e-01
-            4.0032647550106049e-02 -7.9371875524520874e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5366584777832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2551 5.0000000000000000e-01 0 -1 2552
-            3.5150000000000000e+02 -2 -3 2553 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7581409215927124e-01 4.3366453051567078e-01
-            -6.9250804185867310e-01 1.4782861806452274e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5361564636230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2554 1.4550000000000000e+02 0 -1 2555
-            1.3500000000000000e+01 -2 -3 2556 3.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2167288064956665e-01 2.2473543882369995e-01
-            -6.1316716670989990e-01 5.3515338897705078e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5602142333984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2557 1.7500000000000000e+01 0 -1 2558
-            3.0150000000000000e+02 -2 -3 2559 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0176244899630547e-02 7.6716834306716919e-01
-            -6.2594699859619141e-01 2.9301643371582031e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5772842407226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2560 7.0205000000000000e+03 0 -1 2561
-            7.5000000000000000e+00 -2 -3 2562 182.</internalNodes>
-          <leafValues>
-            -7.9505175352096558e-01 1.7069797217845917e-01
-            -8.2258385419845581e-01 7.3946392536163330e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5877098083496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2563 4.5500000000000000e+01 0 -1 2564
-            6.8445000000000000e+03 -2 -3 2565 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9029154181480408e-01 -1.7648826539516449e-01
-            -5.5182862281799316e-01 4.6366956830024719e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5638267517089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2566 5.1850000000000000e+02 0 -1 2567
-            4.5000000000000000e+00 -2 -3 2568 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6328665018081665e-01 -3.8584133982658386e-01
-            -6.9626593589782715e-01 5.0637173652648926e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5725959777832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2569 1.9950000000000000e+02 0 -1 2570
-            1.8500000000000000e+01 -2 -3 2571 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.1137224435806274e-01 2.0416383445262909e-01
-            -9.0335428714752197e-01 8.9813232421875000e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5224937438964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2572 7.5000000000000000e+00 0 -1 2573
-            2.5500000000000000e+01 -2 -3 2574 2.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3831039667129517e-01 3.6077511310577393e-01
-            3.1331515312194824e-01 -5.0101745128631592e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5449661254882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2575 5.0000000000000000e-01 0 -1 2576
-            3.7665000000000000e+03 -2 -3 2577 8.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5498217344284058e-01 -1.5097464621067047e-01
-            -3.8953059911727905e-01 2.2472013533115387e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5411880493164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2578 4493. 0 -1 2579 2.5500000000000000e+01 -2 -3 2580
-            2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1087837219238281e-01 -2.8623789548873901e-01 -1.
-            9.5196199417114258e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5614067077636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2581 1.0500000000000000e+01 0 -1 2582 17. -2 -3 2583
-            103.</internalNodes>
-          <leafValues>
-            -7.5117886066436768e-01 9.0265202522277832e-01
-            2.0218542218208313e-01 -7.3936897516250610e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5999168395996094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2584 3.8500000000000000e+01 0 -1 2585 5086. -2 -3 2586
-            5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9127920866012573e-01 -5.5186152458190918e-01
-            6.0463196039199829e-01 -9.3399420380592346e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6240371704101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2587 2.7500000000000000e+01 0 -1 2588
-            3.5000000000000000e+00 -2 -3 2589 91.</internalNodes>
-          <leafValues>
-            -6.9810129702091217e-02 -8.4188365936279297e-01
-            2.4120073020458221e-01 -6.5708816051483154e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6235023498535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2590 1.9500000000000000e+01 0 -1 2591
-            1.6500000000000000e+01 -2 -3 2592 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.0514994263648987e-01 -3.2603117823600769e-01
-            -4.3177062273025513e-01 8.1372964382171631e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6073257446289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2593 1.2135000000000000e+03 0 -1 2594
-            1.5725000000000000e+03 -2 -3 2595 5.0650000000000000e+02</internalNodes>
-          <leafValues>
-            4.9728196859359741e-01 -4.1840994358062744e-01
-            6.4058172702789307e-01 -1.6176456212997437e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6243354797363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2596 2.5000000000000000e+00 0 -1 2597
-            4.2500000000000000e+01 -2 -3 2598 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2679857909679413e-01 -6.9367134571075439e-01
-            5.3237688541412354e-01 -5.3971223533153534e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6326980590820312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2599 5.0500000000000000e+01 0 -1 2600
-            3.5000000000000000e+00 -2 -3 2601 6.9315000000000000e+03</internalNodes>
-          <leafValues>
-            2.1303455531597137e-01 -6.3557696342468262e-01
-            -1.9230200350284576e-01 4.7144305706024170e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6166137695312500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2602 6905. 0 -1 2603 5.9785000000000000e+03 -2 -3 2604
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.6545404940843582e-02 6.8220782279968262e-01
-            1.9928511977195740e-01 -5.4866182804107666e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6497024536132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2605 3.5000000000000000e+00 0 -1 2606
-            1.5000000000000000e+00 -2 -3 2607 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -9.3044626712799072e-01 3.3089175820350647e-01
-            -2.4615941941738129e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6440460205078125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2608 9.8500000000000000e+01 0 -1 2609
-            2.1950000000000000e+02 -2 -3 2610 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.9206131845712662e-02 -7.2229409217834473e-01
-            -7.6280659437179565e-01 4.8397278785705566e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6623970031738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2611 6.5500000000000000e+01 0 -1 2612
-            5.0000000000000000e-01 -2 -3 2613 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            3.7457340955734253e-01 -9.0597450733184814e-01
-            1.8351505696773529e-01 -5.7986891269683838e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6471252441406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2614 1.1615000000000000e+03 0 -1 2615
-            2.0525000000000000e+03 -2 -3 2616 7.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.5747263431549072e-01 8.2365345954895020e-01
-            4.9958717823028564e-01 -1.5272425115108490e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6615051269531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2617 1.2950000000000000e+02 0 -1 2618
-            4.0500000000000000e+01 -2 -3 2619 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1159070134162903e-02 5.3420531749725342e-01
-            3.5195964574813843e-01 -8.9636689424514771e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6877807617187500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2620 2.2050000000000000e+02 0 -1 2621
-            9.5000000000000000e+00 -2 -3 2622 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.3451068103313446e-01 -4.0673348307609558e-01
-            -8.1775653362274170e-01 7.4299770593643188e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6823638916015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2623 2.4500000000000000e+01 0 -1 2624
-            5.9500000000000000e+01 -2 -3 2625 5.1515000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1872109174728394e-01 7.7110481262207031e-01
-            3.9283660054206848e-01 -1.6952608525753021e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6773773193359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2626 8.5000000000000000e+00 0 -1 2627
-            3.5000000000000000e+00 -2 -3 2628 1.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.7384725809097290e-01 6.7822283506393433e-01
-            -3.4205380082130432e-01 2.1638515591621399e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6982254028320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2629 2.8500000000000000e+01 0 -1 2630 245. -2 -3 2631
-            61.</internalNodes>
-          <leafValues>
-            2.0848464965820312e-01 -6.2569552659988403e-01
-            -8.1863158941268921e-01 8.4820270538330078e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6841300964355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2632 2.1500000000000000e+01 0 -1 2633
-            3.5000000000000000e+00 -2 -3 2634 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.5113090276718140e-01 7.8649562597274780e-01
-            4.1131305694580078e-01 -1.4095856249332428e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7013679504394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2635 7.4950000000000000e+02 0 -1 2636
-            9.5000000000000000e+00 -2 -3 2637 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7237815260887146e-01 -4.3325147032737732e-01
-            -1.0799569636583328e-01 6.9663918018341064e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7435089111328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2638 1.7500000000000000e+01 0 -1 2639 174. -2 -3 2640
-            12650.</internalNodes>
-          <leafValues>
-            2.8112256526947021e-01 -5.1195782423019409e-01
-            4.2141020298004150e-01 -5.3448003530502319e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7268295288085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2641 503. 0 -1 2642 1.3950000000000000e+02 -2 -3 2643
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.8834999799728394e-01 -8.3229357004165649e-01
-            3.7692824006080627e-01 -1.6679267585277557e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7178421020507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2644 1.3500000000000000e+01 0 -1 2645
-            2.5000000000000000e+00 -2 -3 2646 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5913814306259155e-01 5.2206271886825562e-01
-            4.7852468490600586e-01 -8.9874200522899628e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.7000297546386719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2647 2.6500000000000000e+01 0 -1 2648
-            9.5000000000000000e+00 -2 -3 2649 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1166177988052368e-01 4.6178385615348816e-01
-            3.5849693417549133e-01 -1.7812377214431763e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7597846984863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2650 5.0000000000000000e-01 0 -1 2651
-            5.5000000000000000e+00 -2 -3 2652 6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4793010950088501e-01 4.5227390527725220e-01
-            -2.8616324067115784e-01 7.2525143623352051e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7900642395019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2653 3.9500000000000000e+01 0 -1 2654 26. -2 -3 2655
-            5218.</internalNodes>
-          <leafValues>
-            5.8358985185623169e-01 -4.8778259754180908e-01
-            3.0279731750488281e-01 -8.5277533531188965e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7819618225097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2656 9.5000000000000000e+00 0 -1 2657 6301. -2 -3 2658
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.1035622358322144e-01 -9.4324058294296265e-01
-            4.2837977409362793e-01 -1.6642063856124878e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7973083496093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2659 1.0500000000000000e+01 0 -1 2660
-            2.5595000000000000e+03 -2 -3 2661 3.0950000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6133957803249359e-02 5.8160132169723511e-01
-            -5.6929016113281250e-01 4.2342483997344971e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7966255187988281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2662 6.5000000000000000e+00 0 -1 2663
-            2.9250000000000000e+02 -2 -3 2664 4.7550000000000000e+02</internalNodes>
-          <leafValues>
-            -1.8533475697040558e-02 8.2740765810012817e-01
-            -7.0250022411346436e-01 -6.8264966830611229e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.7632484436035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2665 2.5750000000000000e+02 0 -1 2666
-            3.7515000000000000e+03 -2 -3 2667 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.5757788419723511e-01 8.6831378936767578e-01
-            2.1071645617485046e-01 -3.3376976847648621e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7842147827148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2668 1.6650000000000000e+02 0 -1 2669 196. -2 -3 2670
-            2.5150000000000000e+02</internalNodes>
-          <leafValues>
-            1.5279424190521240e-01 -6.0143697261810303e-01
-            5.7514303922653198e-01 -2.5379255414009094e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7947998046875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2671 1.9500000000000000e+01 0 -1 2672
-            1.8850000000000000e+02 -2 -3 2673 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4067907333374023e-01 1. 4.1685935854911804e-01
-            -1.3797542452812195e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8399063110351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2674 2.5500000000000000e+01 0 -1 2675
-            2.5000000000000000e+00 -2 -3 2676 7.0765000000000000e+03</internalNodes>
-          <leafValues>
-            2.0323142409324646e-01 -4.4056713581085205e-01
-            -7.2788339853286743e-01 4.5106858015060425e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8570816040039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2677 42. 0 -1 2678 1.8550000000000000e+02 -2 -3 2679
-            2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            8.6221927404403687e-01 -8.9485520124435425e-01
-            -6.2209093570709229e-01 1.7175154387950897e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8441680908203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2680 6.1500000000000000e+01 0 -1 2681
-            5.0000000000000000e-01 -2 -3 2682 1.9650000000000000e+02</internalNodes>
-          <leafValues>
-            4.3466070294380188e-01 -1.2913754582405090e-01
-            3.0203801393508911e-01 -7.8498184680938721e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8473335266113281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2683 2.4500000000000000e+01 0 -1 2684
-            1.3505000000000000e+03 -2 -3 2685 1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            1.2745502591133118e-01 -5.3675878047943115e-01
-            7.7312016487121582e-01 3.1652595847845078e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.8451828002929688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2686 2.3145000000000000e+03 0 -1 2687 267. -2 -3 2688
-            13841.</internalNodes>
-          <leafValues>
-            -6.8013966083526611e-01 6.3926976919174194e-01
-            5.1043254137039185e-01 -5.8976538479328156e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.8873893737792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2689 2.3050000000000000e+02 0 -1 2690
-            8.5500000000000000e+01 -2 -3 2691 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5697926282882690e-01 -4.9062812328338623e-01
-            -2.8371900320053101e-01 5.3703123331069946e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8867477416992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2692 1.7500000000000000e+01 0 -1 2693
-            2.3500000000000000e+01 -2 -3 2694 2.9850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.6949959397315979e-02 4.9665886163711548e-01
-            4.2928251624107361e-01 -7.4992567300796509e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9131950378417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2695 8.7500000000000000e+01 0 -1 2696
-            1.9850000000000000e+02 -2 -3 2697 84.</internalNodes>
-          <leafValues>
-            2.6447936892509460e-01 -4.0403616428375244e-01
-            -7.4564838409423828e-01 7.5660055875778198e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8859619140625000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2698 1.8500000000000000e+01 0 -1 2699 193. -2 -3 2700
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.6051805019378662e-01 -6.8317562341690063e-01
-            4.0860527753829956e-01 -1.5469188988208771e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9192871093750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2701 1.0450000000000000e+02 0 -1 2702
-            2.1250000000000000e+02 -2 -3 2703 368.</internalNodes>
-          <leafValues>
-            2.8573963046073914e-01 -5.1572942733764648e-01
-            3.3325448632240295e-01 -7.9736381769180298e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9073951721191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2704 5.0000000000000000e-01 0 -1 2705
-            1.3350000000000000e+02 -2 -3 2706 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5674408674240112e-01 4.2235055565834045e-01
-            -6.1476016044616699e-01 3.5760600119829178e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.9772453308105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2707 1622. 0 -1 2708 5.6850000000000000e+02 -2 -3 2709
-            2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7303709983825684e-01 -2.6838380098342896e-01
-            8.5874927043914795e-01 -6.8010163307189941e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9616546630859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2710 5.1150000000000000e+02 0 -1 2711
-            2.0500000000000000e+01 -2 -3 2712 6.2385000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7740508317947388e-01 6.4964014291763306e-01
-            6.8416231870651245e-01 -1.4068825542926788e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9560432434082031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2713 2.0500000000000000e+01 0 -1 2714 152. -2 -3 2715
-            118.</internalNodes>
-          <leafValues>
-            3.3152368664741516e-01 -7.2081387042999268e-01
-            -7.7464383840560913e-01 -7.1336306631565094e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.9178382873535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2716 5.0000000000000000e-01 0 -1 2717
-            5.0000000000000000e-01 -2 -3 2718 2.8550000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7511628866195679e-01 4.4366469979286194e-01
-            2.7641782164573669e-01 -3.8205233216285706e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9044113159179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2719 3.6758500000000000e+04 0 -1 2720 119. -2 -3 2721
-            9.8250000000000000e+02</internalNodes>
-          <leafValues>
-            -8.9374190568923950e-01 1. 4.1436728835105896e-01
-            -1.3426418602466583e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8986122131347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2722 5.0000000000000000e-01 0 -1 2723
-            2.2500000000000000e+01 -2 -3 2724 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2067567110061646e-01 3.4801307320594788e-01
-            -6.9476479291915894e-01 -5.7994190603494644e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.9108413696289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2725 4.2500000000000000e+01 0 -1 2726
-            1.8500000000000000e+01 -2 -3 2727 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.1990894079208374e-01 5.0099647045135498e-01
-            -5.2207231521606445e-01 1.2229448556900024e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9801383972167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2728 8.2550000000000000e+02 0 -1 2729
-            5.0000000000000000e-01 -2 -3 2730 6.1765000000000000e+03</internalNodes>
-          <leafValues>
-            3.1118586659431458e-01 -3.7582796812057495e-01
-            6.9296795129776001e-01 -9.2976748943328857e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.0057861328125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2731 7.5350000000000000e+02 0 -1 2732
-            5.8500000000000000e+01 -2 -3 2733 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.4525830149650574e-01 2.5647372007369995e-01
-            8.4999513626098633e-01 -9.9117010831832886e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9780632019042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2734 5.0000000000000000e-01 0 -1 2735 108. -2 -3 2736
-            7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9359833002090454e-01 -6.9194906949996948e-01
-            -2.7722206711769104e-01 4.1715595126152039e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0145835876464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2737 2.0500000000000000e+01 0 -1 2738
-            4.5000000000000000e+00 -2 -3 2739 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7951823472976685e-01 3.6520305275917053e-01
-            -3.8517192006111145e-01 4.9779340624809265e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9998329162597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2740 1.1165000000000000e+03 0 -1 2741
-            4.5500000000000000e+01 -2 -3 2742 7.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2406588792800903e-01 1. 3.6648508906364441e-01
-            -1.4751173555850983e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0417495727539062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2743 7905. 0 -1 2744 1.4950000000000000e+02 -2 -3 2745
-            98.</internalNodes>
-          <leafValues>
-            3.2732751220464706e-02 -7.6812428236007690e-01
-            -7.5380378961563110e-01 4.7367131710052490e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9864738464355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2746 6.5000000000000000e+00 0 -1 2747
-            1.2235000000000000e+03 -2 -3 2748 27.</internalNodes>
-          <leafValues>
-            5.5213552713394165e-01 -6.3920162618160248e-02
-            -9.2558085918426514e-01 -1.1656486988067627e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9995124816894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2749 2.1150000000000000e+02 0 -1 2750
-            1.6500000000000000e+01 -2 -3 2751 34.</internalNodes>
-          <leafValues>
-            2.0876583456993103e-01 -3.5845145583152771e-01
-            -7.5983208417892456e-01 6.1741626262664795e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0029579162597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2752 1.0500000000000000e+01 0 -1 2753
-            3.0150000000000000e+02 -2 -3 2754 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8833340704441071e-01 -4.5257857441902161e-01
-            -8.7599718570709229e-01 3.9588588476181030e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0429824829101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2755 1.7500000000000000e+01 0 -1 2756
-            5.5950000000000000e+02 -2 -3 2757 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            9.0497744083404541e-01 -3.4649524092674255e-01
-            4.0024894475936890e-01 -4.3823891878128052e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0367797851562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2758 5.0000000000000000e-01 0 -1 2759
-            1.0032500000000000e+04 -2 -3 2760 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4333506822586060e-01 4.4759553670883179e-01
-            -6.5220975875854492e-01 5.3118625655770302e-03</leafValues></_>
-        <_>
-          <treeThreshold>8.0484443664550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2761 7.5500000000000000e+01 0 -1 2762
-            8.4500000000000000e+01 -2 -3 2763 51.</internalNodes>
-          <leafValues>
-            -4.7128376364707947e-01 3.0099546909332275e-01
-            -5.9575259685516357e-01 4.5461925864219666e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0230026245117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2764 6.6250000000000000e+02 0 -1 2765 4812. -2 -3 2766
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2453155517578125e-01 8.0837249755859375e-01
-            3.8529312610626221e-01 -2.5441926717758179e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0529327392578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2767 5.9500000000000000e+01 0 -1 2768
-            1.6050000000000000e+02 -2 -3 2769 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9788705110549927e-01 -9.0285009145736694e-01
-            2.9930576682090759e-01 -2.6814186573028564e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0221504211425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2770 3.0500000000000000e+01 0 -1 2771
-            4.5000000000000000e+00 -2 -3 2772 1.4475000000000000e+03</internalNodes>
-          <leafValues>
-            -9.4630533456802368e-01 8.2679504156112671e-01
-            2.5290638208389282e-01 -3.0782324075698853e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0379684448242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2773 5.0645000000000000e+03 0 -1 2774
-            3.2500000000000000e+01 -2 -3 2775 3.5325000000000000e+03</internalNodes>
-          <leafValues>
-            -6.8182122707366943e-01 2.9198646545410156e-01
-            5.7170498371124268e-01 -9.3514062464237213e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.0165153503417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2776 1.5500000000000000e+01 0 -1 2777
-            1.2765000000000000e+03 -2 -3 2778 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.2029168428853154e-03 6.6435748338699341e-01
-            5.4809719324111938e-01 -6.2805855274200439e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0611167907714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2779 2.5000000000000000e+00 0 -1 2780
-            2.1500000000000000e+01 -2 -3 2781 1.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4764390289783478e-01 4.4601744413375854e-01
-            1.6960276663303375e-01 -5.8656966686248779e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0892166137695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2782 5.4500000000000000e+01 0 -1 2783
-            9.7350000000000000e+02 -2 -3 2784 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7698031067848206e-01 -8.4596508741378784e-01
-            2.8099426627159119e-01 -3.0595216155052185e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1190002441406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2785 3.5000000000000000e+00 0 -1 2786
-            9.4500000000000000e+01 -2 -3 2787 15.</internalNodes>
-          <leafValues>
-            -2.3588234186172485e-01 2.9783576726913452e-01 1.
-            -9.3145948648452759e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0872680664062500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2788 5.0000000000000000e-01 0 -1 2789 34. -2 -3 2790
-            404.</internalNodes>
-          <leafValues>
-            -9.7627913951873779e-01 4.5835772156715393e-01
-            3.3686440438032150e-02 -6.0926121473312378e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1137512207031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2791 4.2500000000000000e+01 0 -1 2792
-            7.5000000000000000e+00 -2 -3 2793 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3087863922119141e-01 -5.4735422134399414e-01
-            -7.4202680587768555e-01 2.6482933759689331e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1074195861816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2794 6045. 0 -1 2795 3582. -2 -3 2796
-            1.4355000000000000e+03</internalNodes>
-          <leafValues>
-            5.6150436401367188e-01 -6.3314586877822876e-02
-            -9.8905169963836670e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.1611145019531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2797 1.7500000000000000e+01 0 -1 2798
-            6.3500000000000000e+01 -2 -3 2799 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.5531716942787170e-02 5.3694951534271240e-01
-            4.7020646929740906e-01 -5.0288665294647217e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1308403015136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2800 5.5000000000000000e+00 0 -1 2801 110. -2 -3 2802
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1038602590560913e-01 7.3705679178237915e-01
-            2.4539317190647125e-01 -3.0274006724357605e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0943153381347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2803 4.9550000000000000e+02 0 -1 2804
-            1.0500000000000000e+01 -2 -3 2805 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8987993896007538e-01 -3.6525547504425049e-01 -1.
-            8.1189829111099243e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1049530029296875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2806 1.7050000000000000e+02 0 -1 2807
-            5.5000000000000000e+00 -2 -3 2808 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0011897087097168e-01 -2.4462732672691345e-01
-            6.2346208095550537e-01 -5.9039413928985596e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1308738708496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2809 3.8500000000000000e+01 0 -1 2810
-            8.6500000000000000e+01 -2 -3 2811 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8746827840805054e-01 2.5921225547790527e-01
-            6.4567667245864868e-01 -3.9673528075218201e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1096168518066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2812 4.5000000000000000e+00 0 -1 2813
-            3.6500000000000000e+01 -2 -3 2814 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            8.4782302379608154e-01 -9.7110116481781006e-01
-            3.3998885750770569e-01 -2.1257449686527252e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1410560607910156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2815 4.5000000000000000e+00 0 -1 2816
-            7.5500000000000000e+01 -2 -3 2817 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 1. 3.1439647078514099e-01 -1.7778587341308594e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1814201354980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2818 3.9500000000000000e+01 0 -1 2819
-            6.4750000000000000e+02 -2 -3 2820 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4708394706249237e-01 -9.2105174064636230e-01
-            4.0363448858261108e-01 -1.2905533611774445e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1573196411132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2821 3.0500000000000000e+01 0 -1 2822
-            5.0000000000000000e-01 -2 -3 2823 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9701321125030518e-01 -5.6365805864334106e-01
-            2.8191345930099487e-01 -5.3536522388458252e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1956001281738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2824 4.6085000000000000e+03 0 -1 2825
-            1.3250000000000000e+02 -2 -3 2826 1.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4937385320663452e-01 9.3439608812332153e-01
-            3.8280078768730164e-01 -2.6699417829513550e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1513214111328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2827 3.0500000000000000e+01 0 -1 2828
-            5.5000000000000000e+00 -2 -3 2829 9.9235000000000000e+03</internalNodes>
-          <leafValues>
-            2.1246223151683807e-01 -4.4278442859649658e-01
-            -8.1646180152893066e-01 5.1293396949768066e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1699577331542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2830 1.1650000000000000e+02 0 -1 2831
-            8.2500000000000000e+01 -2 -3 2832 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8636158108711243e-01 -4.9596223235130310e-01
-            -8.9908498525619507e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.2445182800292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2833 1903. 0 -1 2834 2.5000000000000000e+00 -2 -3 2835
-            6.0445000000000000e+03</internalNodes>
-          <leafValues>
-            1.8896391987800598e-01 -3.2746449112892151e-01
-            7.4561136960983276e-01 -7.9816836118698120e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2831352233886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2836 2.7500000000000000e+01 0 -1 2837 469. -2 -3 2838
-            1.2175000000000000e+03</internalNodes>
-          <leafValues>
-            7.7044230699539185e-01 -9.5174908638000488e-01
-            -1.4690612256526947e-01 3.8616815209388733e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2686500549316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2839 2895. 0 -1 2840 4.3500000000000000e+01 -2 -3 2841
-            34.</internalNodes>
-          <leafValues>
-            -1.4485244452953339e-01 4.4888463616371155e-01
-            3.6486008763313293e-01 -8.1205248832702637e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2188568115234375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2842 3.5000000000000000e+00 0 -1 2843 2070. -2 -3 2844
-            4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9201928377151489e-01 3.1747218966484070e-01
-            -4.9793621897697449e-01 5.4417175054550171e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2745765686035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2845 2.5000000000000000e+00 0 -1 2846
-            7.5000000000000000e+00 -2 -3 2847 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4509557485580444e-01 5.5719637870788574e-01
-            1.7902635037899017e-01 -4.2469331622123718e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2670654296875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2848 1.3500000000000000e+01 0 -1 2849
-            9.4650000000000000e+02 -2 -3 2850 7.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3974867314100266e-02 -8.2525712251663208e-01
-            -4.6273630857467651e-01 6.6797983646392822e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2877090454101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2851 1.4500000000000000e+01 0 -1 2852
-            1.1915000000000000e+03 -2 -3 2853 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            6.6358172893524170e-01 -7.2160053253173828e-01
-            -6.6055583953857422e-01 2.0643877983093262e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2504707336425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2854 4.5000000000000000e+00 0 -1 2855
-            1.6250000000000000e+02 -2 -3 2856 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.9229575991630554e-02 6.7639851570129395e-01
-            7.7679026126861572e-01 -3.7238210439682007e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1991981506347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2857 1.8500000000000000e+01 0 -1 2858
-            1.5500000000000000e+01 -2 -3 2859 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.6943126916885376e-01 2.8580504655838013e-01
-            5.7573765516281128e-01 -5.1273131370544434e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2700317382812500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2860 2.5335000000000000e+03 0 -1 2861
-            5.5000000000000000e+00 -2 -3 2862 9017.</internalNodes>
-          <leafValues>
-            4.5291054248809814e-01 -3.1770652532577515e-01
-            7.0833772420883179e-01 -5.8668452501296997e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3036483764648438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2863 1.2665000000000000e+03 0 -1 2864
-            2.7950000000000000e+02 -2 -3 2865 1.6050000000000000e+02</internalNodes>
-          <leafValues>
-            5.6190413236618042e-01 -9.4979606568813324e-02
-            -5.6120347976684570e-01 6.9735217094421387e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3268234252929688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2866 3.1500000000000000e+01 0 -1 2867
-            2.2850000000000000e+02 -2 -3 2868 338.</internalNodes>
-          <leafValues>
-            2.9099774360656738e-01 -8.5712206363677979e-01
-            -7.3761904239654541e-01 2.3174422979354858e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3142601013183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2869 1.3500000000000000e+01 0 -1 2870
-            7.5500000000000000e+01 -2 -3 2871 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1628973484039307e-01 8.9499497413635254e-01
-            5.3249603509902954e-01 -1.2562887370586395e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3346061706542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2872 5.8500000000000000e+01 0 -1 2873
-            1.4500000000000000e+01 -2 -3 2874 2.3655000000000000e+03</internalNodes>
-          <leafValues>
-            -5.8924037218093872e-01 2.0346269011497498e-01
-            6.8413233757019043e-01 -7.3724877834320068e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3734870910644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2875 1.5500000000000000e+01 0 -1 2876
-            2.4500000000000000e+01 -2 -3 2877 842.</internalNodes>
-          <leafValues>
-            -9.6514111757278442e-01 4.5274001359939575e-01
-            -4.4388589262962341e-01 1.6307270526885986e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3378517150878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2878 2.3415000000000000e+03 0 -1 2879
-            1.1135000000000000e+03 -2 -3 2880 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.0065728425979614e-01 4.9152576923370361e-01
-            3.9019897580146790e-01 -3.5635352134704590e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3842796325683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2881 7.7500000000000000e+01 0 -1 2882
-            1.5000000000000000e+00 -2 -3 2883 34.</internalNodes>
-          <leafValues>
-            3.0433416366577148e-01 -3.4621056914329529e-01
-            -2.3730756342411041e-01 7.2603577375411987e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4082458496093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2884 5.0000000000000000e-01 0 -1 2885
-            1.5000000000000000e+00 -2 -3 2886 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4981471300125122e-01 4.6478056907653809e-01
-            -4.4265326857566833e-01 2.3966242372989655e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4403526306152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2887 1.9735000000000000e+03 0 -1 2888 61716. -2 -3 2889
-            7.1250000000000000e+02</internalNodes>
-          <leafValues>
-            3.2107087969779968e-01 -7.3176121711730957e-01
-            -4.2035382986068726e-01 6.5387272834777832e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3859382629394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2890 5.1500000000000000e+01 0 -1 2891
-            5.4500000000000000e+01 -2 -3 2892 9.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5267591476440430e-01 3.3089217543601990e-01
-            -5.4414278268814087e-01 1.4185604453086853e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4165733337402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2893 2.5000000000000000e+00 0 -1 2894 170. -2 -3 2895
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.4921059608459473e-01 1. 3.0634912848472595e-01
-            -2.8711661696434021e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4014938354492188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2896 5.0000000000000000e-01 0 -1 2897
-            4.5000000000000000e+00 -2 -3 2898 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4929865002632141e-01 7.1007603406906128e-01
-            5.1218295097351074e-01 -2.8127226233482361e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3658638000488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2899 6.2500000000000000e+01 0 -1 2900
-            7.7500000000000000e+01 -2 -3 2901 5.4650000000000000e+02</internalNodes>
-          <leafValues>
-            1.7899210751056671e-01 -3.5629883408546448e-01
-            6.6323882341384888e-01 -6.2932920455932617e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4031822204589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2902 4.3500000000000000e+01 0 -1 2903
-            2.5000000000000000e+00 -2 -3 2904 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            2.9303130507469177e-01 -7.2133332490921021e-01
-            3.7318074703216553e-01 -2.9929837584495544e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4148094177246094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2905 4.4500000000000000e+01 0 -1 2906
-            5.5000000000000000e+00 -2 -3 2907 1218.</internalNodes>
-          <leafValues>
-            1.1627596616744995e-01 -6.5344148874282837e-01
-            -6.1276328563690186e-01 3.0713844299316406e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3736122131347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2908 2.2500000000000000e+01 0 -1 2909
-            7.5000000000000000e+00 -2 -3 2910 4945.</internalNodes>
-          <leafValues>
-            2.0239315927028656e-01 -4.1197755932807922e-01
-            -6.5554910898208618e-01 5.7477289438247681e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3684288024902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2911 6.1500000000000000e+01 0 -1 2912
-            3.5000000000000000e+00 -2 -3 2913 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9327356815338135e-01 -5.5817484855651855e-01
-            7.1029824018478394e-01 -5.1831677556037903e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.3512733459472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2914 5.4500000000000000e+01 0 -1 2915
-            1.5000000000000000e+00 -2 -3 2916 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4946056604385376e-01 4.1890572756528854e-02
-            3.9327812194824219e-01 -1.7155566811561584e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4089424133300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2917 9.3500000000000000e+01 0 -1 2918 2760. -2 -3 2919
-            1.1250000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4497070908546448e-01 9.6521437168121338e-01
-            5.7669252157211304e-01 -7.6096898317337036e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4561004638671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2920 5.0000000000000000e-01 0 -1 2921
-            6.5000000000000000e+00 -2 -3 2922 6.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -5.3141713142395020e-01 4.7158041596412659e-01
-            2.2022259235382080e-01 -4.3360495567321777e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4944801330566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2923 1.4050000000000000e+02 0 -1 2924
-            5.0000000000000000e-01 -2 -3 2925 7.4850000000000000e+02</internalNodes>
-          <leafValues>
-            1.5521393716335297e-01 -5.1790440082550049e-01
-            3.8379338383674622e-01 -4.4605687260627747e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5207305908203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2926 1.5500000000000000e+01 0 -1 2927
-            3.3500000000000000e+01 -2 -3 2928 255.</internalNodes>
-          <leafValues>
-            -2.9250434041023254e-01 6.5829980373382568e-01
-            -6.5028876066207886e-01 5.1617544889450073e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5524932861328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2929 2.4500000000000000e+01 0 -1 2930
-            2.8500000000000000e+01 -2 -3 2931 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 3.1762468814849854e-01 3.0006918311119080e-01
-            -5.6320971250534058e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5334136962890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2932 3.5000000000000000e+00 0 -1 2933
-            1.5500000000000000e+01 -2 -3 2934 2457.</internalNodes>
-          <leafValues>
-            -4.4446155428886414e-01 4.3577027320861816e-01
-            4.5368546247482300e-01 -4.4899699091911316e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5264480590820312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2935 5.0000000000000000e-01 0 -1 2936 115. -2 -3 2937
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1964131593704224e-01 4.9966832995414734e-01
-            5.8283418416976929e-01 -6.9656021893024445e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.5903366088867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2938 7.1500000000000000e+01 0 -1 2939
-            5.4500000000000000e+01 -2 -3 2940 143.</internalNodes>
-          <leafValues>
-            1.6550585627555847e-01 -4.3812391161918640e-01
-            6.3888710737228394e-01 -5.4803293943405151e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6248062133789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2941 2.5000000000000000e+00 0 -1 2942
-            9.0500000000000000e+01 -2 -3 2943 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0908889025449753e-01 -8.8574463129043579e-01
-            3.4469136595726013e-01 -2.0632795989513397e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6533218383789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2944 2.1500000000000000e+01 0 -1 2945
-            4.5000000000000000e+00 -2 -3 2946 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4494426250457764e-01 8.8365721702575684e-01
-            2.8515672683715820e-01 -8.1787091493606567e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7068389892578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2947 8.2650000000000000e+02 0 -1 2948
-            4.5000000000000000e+00 -2 -3 2949 1.9675500000000000e+04</internalNodes>
-          <leafValues>
-            3.3902516961097717e-01 -3.3688139915466309e-01
-            5.3517556190490723e-01 -6.7757689952850342e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6810844421386719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2950 2.5500000000000000e+01 0 -1 2951
-            2.5000000000000000e+00 -2 -3 2952 1.3035000000000000e+03</internalNodes>
-          <leafValues>
-            9.1093343496322632e-01 -8.2202631235122681e-01
-            3.2981109619140625e-01 -2.5754809379577637e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6275955200195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2953 2.2369500000000000e+04 0 -1 2954
-            1.5000000000000000e+00 -2 -3 2955 9.5285000000000000e+03</internalNodes>
-          <leafValues>
-            1.4417627826333046e-02 -6.9124591350555420e-01
-            3.7811917066574097e-01 -5.3488659858703613e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6942420959472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2956 1.0645000000000000e+03 0 -1 2957
-            3.5000000000000000e+00 -2 -3 2958 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.4049446582794189e-01 -3.5957664251327515e-01
-            9.1249042749404907e-01 -1.7921762168407440e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7227539062500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2959 9.5000000000000000e+00 0 -1 2960 199. -2 -3 2961
-            6.6465000000000000e+03</internalNodes>
-          <leafValues>
-            8.8686686754226685e-01 -6.7846179008483887e-01
-            -3.4822642803192139e-01 2.8511366248130798e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7103866577148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2962 6.5000000000000000e+00 0 -1 2963
-            1.5000000000000000e+00 -2 -3 2964 4.3450000000000000e+02</internalNodes>
-          <leafValues>
-            1.8375012278556824e-01 -5.8300310373306274e-01
-            -7.8263854980468750e-01 5.0758910179138184e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7249404907226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2965 1.8500000000000000e+01 0 -1 2966
-            8.5000000000000000e+00 -2 -3 2967 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1379207372665405e-01 1. -6.0623198747634888e-01
-            1.4554040133953094e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6942718505859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2968 3.5000000000000000e+00 0 -1 2969
-            2.3355000000000000e+03 -2 -3 2970 2.5850000000000000e+02</internalNodes>
-          <leafValues>
-            6.3676542043685913e-01 -4.5731505751609802e-01
-            4.5318025350570679e-01 -3.0669227242469788e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6748542785644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2971 2.1500000000000000e+01 0 -1 2972
-            1.6500000000000000e+01 -2 -3 2973 4.3450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9417463243007660e-01 4.5977392792701721e-01
-            7.4417084455490112e-01 -9.2871183156967163e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6213851928710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2974 4.6500000000000000e+01 0 -1 2975 6986. -2 -3 2976
-            1.0655000000000000e+03</internalNodes>
-          <leafValues>
-            -3.5974133014678955e-01 3.9904057979583740e-01
-            -5.3468620777130127e-01 4.4506999850273132e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6651367187500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2977 7.7450000000000000e+02 0 -1 2978 39564. -2 -3 2979
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3751135468482971e-01 -8.3221775293350220e-01
-            9.5911510288715363e-02 -5.8185952901840210e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7053947448730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2980 1.3150000000000000e+02 0 -1 2981
-            1.8650000000000000e+02 -2 -3 2982 4.2550000000000000e+02</internalNodes>
-          <leafValues>
-            4.1247457265853882e-01 -4.4629332423210144e-01
-            4.0258339047431946e-01 -6.6914594173431396e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7472679138183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2983 6.9750000000000000e+02 0 -1 2984
-            1.0500000000000000e+01 -2 -3 2985 1.8735000000000000e+03</internalNodes>
-          <leafValues>
-            -7.6271665096282959e-01 4.1873174905776978e-01
-            -6.8841624259948730e-01 -2.3577280342578888e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7495330810546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2986 5.0000000000000000e-01 0 -1 2987
-            2.9500000000000000e+01 -2 -3 2988 1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.6370656490325928e-01 6.4419740438461304e-01
-            -2.4485288560390472e-01 6.6281813383102417e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6983520507812500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2989 1.2135000000000000e+03 0 -1 2990
-            8.0250000000000000e+02 -2 -3 2991 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0576335787773132e-01 5.1596242189407349e-01
-            4.4931706786155701e-01 -5.1181161403656006e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7748497009277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2992 1.4555000000000000e+03 0 -1 2993
-            2.3355000000000000e+03 -2 -3 2994 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.6321972310543060e-02 7.6497226953506470e-01
-            3.1687757372856140e-01 -4.1308388113975525e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7668098449707031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2995 7.3500000000000000e+01 0 -1 2996
-            7.5000000000000000e+00 -2 -3 2997 1.8415000000000000e+03</internalNodes>
-          <leafValues>
-            -8.0395199358463287e-02 4.9477747082710266e-01
-            5.0139939785003662e-01 -9.4019854068756104e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7603317260742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2998 1.0350000000000000e+02 0 -1 2999
-            5.0000000000000000e-01 -2 -3 3000 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5032008886337280e-01 -6.4781084656715393e-02
-            -6.9391334056854248e-01 2.6454237103462219e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7899932861328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 3001 4.1850000000000000e+02 0 -1 3002
-            2.5000000000000000e+00 -2 -3 3003 4.4350000000000000e+02</internalNodes>
-          <leafValues>
-            8.3208960294723511e-01 -9.7579640150070190e-01
-            4.5810779929161072e-01 -9.8539277911186218e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7558662414550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 3004 1.4500000000000000e+01 0 -1 3005
-            4.5000000000000000e+00 -2 -3 3006 4093.</internalNodes>
-          <leafValues>
-            1.3818612694740295e-01 -5.0276112556457520e-01
-            3.9290004968643188e-01 -9.0650981664657593e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7562660217285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 3007 3.0500000000000000e+01 0 -1 3008 15. -2 -3 3009
-            6.8500000000000000e+01</internalNodes>
-          <leafValues>
-            5.8721613883972168e-01 -9.5952403545379639e-01
-            1.5953540802001953e-01 -7.3017132282257080e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7263595581054688e+01</treeThreshold>
-          <internalNodes>
-            1 2 3010 4.6550000000000000e+02 0 -1 3011
-            8.5000000000000000e+00 -2 -3 3012 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5965842604637146e-01 -4.5460721850395203e-01
-            -6.6170775890350342e-01 4.6810474991798401e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7385635375976562e+01</treeThreshold>
-          <internalNodes>
-            1 2 3013 3.7500000000000000e+01 0 -1 3014
-            6.7500000000000000e+01 -2 -3 3015 9.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7775322198867798e-01 3.0159825086593628e-01
-            -7.1135115623474121e-01 1.2204105406999588e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7448921203613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 3016 3.4500000000000000e+01 0 -1 3017
-            1.3500000000000000e+01 -2 -3 3018 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3366974592208862e-01 4.3953391909599304e-01
-            -6.8973690271377563e-01 6.3285768032073975e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7470863342285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 3019 9.5000000000000000e+00 0 -1 3020
-            3.5750000000000000e+02 -2 -3 3021 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9902238845825195e-01 -4.9095529317855835e-01
-            -6.0496187210083008e-01 2.1941423416137695e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.8030609130859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 3022 7.5000000000000000e+00 0 -1 3023
-            1.4250000000000000e+02 -2 -3 3024 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1742883920669556e-01 5.5974942445755005e-01
-            -6.6814047098159790e-01 1.0357101261615753e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8298561096191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 3025 5.0000000000000000e-01 0 -1 3026
-            2.5000000000000000e+00 -2 -3 3027 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.9518532752990723e-01 3.9527121186256409e-01
-            2.6795190572738647e-01 -4.4711253046989441e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8873558044433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 3028 5.0650000000000000e+02 0 -1 3029
-            2.7150000000000000e+02 -2 -3 3030 5.1550000000000000e+02</internalNodes>
-          <leafValues>
-            4.9458679556846619e-01 -3.8078719377517700e-01
-            5.7499361038208008e-01 -2.4514666199684143e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8112663269042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 3031 1.5500000000000000e+01 0 -1 3032
-            3.1500000000000000e+01 -2 -3 3033 511.</internalNodes>
-          <leafValues>
-            -2.6782530546188354e-01 3.8774058222770691e-01
-            3.4897887706756592e-01 -7.6089125871658325e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8039482116699219e+01</treeThreshold>
-          <internalNodes>
-            1 2 3034 230. 0 -1 3035 6.6500000000000000e+01 -2 -3 3036
-            4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3185198009014130e-02 5.7667195796966553e-01
-            3.2658204436302185e-01 -8.0915856361389160e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8365722656250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 3037 5.0000000000000000e-01 0 -1 3038
-            2.9500000000000000e+01 -2 -3 3039 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.2624712586402893e-01 -5.5316114425659180e-01
-            -2.4152111727744341e-03 -6.9509941339492798e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8882514953613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 3040 3.0500000000000000e+01 0 -1 3041
-            1.1150000000000000e+02 -2 -3 3042 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.2429902553558350e-01 -8.9993971586227417e-01
-            5.1678961515426636e-01 -8.6023628711700439e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.8496650695800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 3043 2.8500000000000000e+01 0 -1 3044
-            1.1385000000000000e+03 -2 -3 3045 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.3370710462331772e-02 -7.7716881036758423e-01
-            4.8879763484001160e-01 -1.4188981056213379e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8710388183593750e+01</treeThreshold>
-          <internalNodes>
-            1 2 3046 3286. 0 -1 3047 1.8500000000000000e+01 -2 -3 3048
-            14770.</internalNodes>
-          <leafValues>
-            5.7567560672760010e-01 -7.7623206377029419e-01
-            -8.3764082193374634e-01 2.1373493969440460e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8465957641601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 3049 4.5000000000000000e+00 0 -1 3050
-            6.8500000000000000e+01 -2 -3 3051 7.2550000000000000e+02</internalNodes>
-          <leafValues>
-            -9.8398631811141968e-01 1. 1.4620523154735565e-01
-            -4.8840534687042236e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8379966735839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 3052 4.6350000000000000e+02 0 -1 3053
-            1.0005000000000000e+03 -2 -3 3054 12544.</internalNodes>
-          <leafValues>
-            1.2718398869037628e-01 -4.7662603855133057e-01
-            6.7666745185852051e-01 -9.6875000000000000e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8453712463378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 3055 6.2500000000000000e+01 0 -1 3056
-            2.5000000000000000e+00 -2 -3 3057 2.7450000000000000e+02</internalNodes>
-          <leafValues>
-            7.3742903769016266e-02 -4.8088160157203674e-01
-            7.9391783475875854e-01 -9.5094847679138184e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8360649108886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 3058 5.1085000000000000e+03 0 -1 3059
-            1.5000000000000000e+00 -2 -3 3060 59.</internalNodes>
-          <leafValues>
-            4.7250562906265259e-01 -9.3059159815311432e-02
-            -9.8921388387680054e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.8759475708007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 3061 4.3500000000000000e+01 0 -1 3062
-            2.5000000000000000e+00 -2 -3 3063 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8726401031017303e-01 -9.5795679092407227e-01
-            3.9882484078407288e-01 -1.5403895080089569e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8777908325195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 3064 1.8150000000000000e+02 0 -1 3065
-            1.1500000000000000e+01 -2 -3 3066 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5865679979324341e-01 -5.4600328207015991e-01
-            6.9991689920425415e-01 1.8433349207043648e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.9012145996093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 3067 2.6500000000000000e+01 0 -1 3068
-            2.0500000000000000e+01 -2 -3 3069 1.1550000000000000e+02</internalNodes>
-          <leafValues>
-            7.8764355182647705e-01 -8.8436836004257202e-01
-            2.3423436284065247e-01 -3.8715034723281860e-01</leafValues></_></trees>
-      <features>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 19 7 32</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 13 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 11 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 55 24 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 40 8 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 32 9 31</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 41 12 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 33 5 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 60 22 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 38 10 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 8 6 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 19 1 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 3 16 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 0 1 49</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 1 18 48</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 58 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 11 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 35 10 21</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 54 12 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 50 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 9 6 36</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 20 9 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 48 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 62 18 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 49 11 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 20 1 32</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 10 12 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 31 11 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 41 17 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 12 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 6 2 23</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 3 13 48</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 49 9 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 9 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 56 19 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 54 6 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 52 10 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 59 20 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 51 12 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 10 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 35 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 36 11 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 18 4 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 40 14 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 57 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 30 6 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 61 22 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 42 3 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 5 7 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 17 10 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 1 50</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 40 1 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 25 3 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 39 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 1 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 9 3 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 29 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 53 12 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            29 43 2 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 51 16 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 51 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 56 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 49 16 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 42 26 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 16 11 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 17 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 6 8 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 44 2 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 7 12 21</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 20 3 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 0 10 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 27 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 18 3 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 42 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 3 2 22</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 52 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 9 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 36 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 21 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 62 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 1 21 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 12 4 28</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 7 3 27</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            25 10 6 50</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 26 10 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 18 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 9 17 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 46 1 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 35 3 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 61 26 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 58 16 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 56 27 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 8 3 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 36 1 20</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 60 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 17 2 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 37 8 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 56 21 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 56 22 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 11 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 60 29 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 57 11 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 33 5 21</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 16 6 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 26 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            29 4 2 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 39 6 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 24 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 39 14 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            27 14 2 35</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 62 28 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 26 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 13 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 45 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 28 5 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 60 16 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 30 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 32 5 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 17 8 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 34 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 16 10 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            24 54 6 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 53 20 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 34 7 26</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 58 22 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 17 16 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 51 9 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 50 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 21 1 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 7 6 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 26 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 45 20 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 5 1 54</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 57 15 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 40 11 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 18 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            20 9 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 55 22 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 17 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 0 11 27</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 4 11 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 62 14 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 19 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 37 2 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 47 11 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 55 15 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 22 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 32 2 23</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 38 3 21</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 12 1 28</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 36 5 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 11 17 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 45 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 46 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 16 14 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 20 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 53 18 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 18 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 10 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 29 1 33</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 56 22 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            23 10 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 7 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 21 2 27</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 2 19 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 38 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 6 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 7 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 46 11 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 39 14 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 3 7 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 47 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 10 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 12 12 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 0 24 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 18 22 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 16 3 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 32 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 34 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 25 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 54 8 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 31 15 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            29 44 1 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 41 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 13 3 42</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 24 30 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 39 14 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 59 20 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 47 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 48 13 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 41 21 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 8 2 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 61 18 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 22 16 24</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            23 9 7 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 10 6 43</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 14 11 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 9 20 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 44 1 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 1 23 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 1 18 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 2 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 10 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 20 3 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 20 15 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 19 4 43</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 36 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 44 20 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 49 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 41 13 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 56 14 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 0 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 61 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 51 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 23 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 30 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 18 12 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 8 16 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 53 9 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 62 23 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 26 13 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 14 3 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 28 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 34 3 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 22 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 13 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 29 7 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 56 24 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 60 11 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 42 3 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 18 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 43 26 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 14 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 17 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 8 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 61 26 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 36 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            26 30 3 30</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 37 14 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 20 2 43</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 14 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 61 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 47 8 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 4 1 53</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 3 2 38</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 7 4 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 17 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 13 6 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 25 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 22 11 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 53 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 4 19 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 59 24 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 18 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 21 5 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 28 8 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 45 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 50 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 21 21 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 2 17 33</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 27 1 34</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 29 1 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 42 5 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 51 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 58 23 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 8 15 28</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 8 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 24 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 27 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 39 19 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 30 2 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 2 1 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 39 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 40 15 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 17 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 57 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 39 7 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            27 61 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 55 28 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 45 6 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 45 5 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 34 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 50 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 47 8 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 56 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 56 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 20 11 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            23 23 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 25 10 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 23 3 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 34 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 1 50</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 32 8 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 59 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 38 2 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 4 22 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 20 7 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 42 11 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 9 3 28</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 43 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 2 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 6 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 40 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 39 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 58 15 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 43 7 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 25 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 41 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 28 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 44 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 35 8 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 32 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 1 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 55 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 5 18 31</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 18 3 44</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 56 15 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 44 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 0 8 24</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 15 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 15 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 12 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 10 20 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 51 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 17 6 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 21 6 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 57 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 17 4 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 18 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 54 5 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 29 17 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 46 12 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 10 3 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            30 38 1 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 60 14 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 43 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 36 21 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 47 18 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 46 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 37 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 46 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 8 5 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 14 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 12 12 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 54 15 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 52 16 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 40 4 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 56 27 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 31 15 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 59 24 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 15 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 4 6 27</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            29 19 2 43</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 22 5 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 48 11 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 48 4 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 4 20 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 41 23 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            27 4 4 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 52 10 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 61 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 25 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 15 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 35 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 18 23 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 18 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            23 14 8 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 8 6 28</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            25 13 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 3 6 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 49 21 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 40 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 54 20 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 36 9 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 62 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 24 15 39</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 21 2 33</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            28 7 3 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 10 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 42 2 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 35 9 27</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 19 6 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 22 12 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 42 19 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 56 6 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 49 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 22 18 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 21 6 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 16 19 29</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 15 5 40</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 32 3 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 29 5 20</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 34 3 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 47 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 18 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 43 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 37 13 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 56 17 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 53 9 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 39 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 52 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 20 2 43</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 37 15 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 22 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 0 15 30</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 30 7 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 19 4 32</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 45 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 51 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 44 17 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 13 2 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 55 7 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 58 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 25 5 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 17 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 54 23 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 48 24 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 5 7 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 44 14 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            23 43 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 12 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 46 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 2 1 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 5 17 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 57 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 20 21 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 57 18 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 4 6 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 45 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 45 18 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 42 8 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 50 11 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 16 5 33</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 10 13 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 9 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            27 61 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 0 1 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 16 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 10 2 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 11 6 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 19 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 43 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 15 1 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 60 27 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 21 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 23 13 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            24 56 2 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 42 12 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 0 1 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 61 20 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 50 8 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 55 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            18 27 8 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 32 3 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 42 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 2 8 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 2 1 47</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 61 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 31 2 32</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 15 1 43</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 34 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 11 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 42 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 62 20 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 20 11 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 21 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            25 34 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 14 5 33</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 13 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 15 44</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 32 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 40 14 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 47 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 16 14 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 55 8 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 55 28 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 56 17 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 13 20 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 19 4 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 10 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 18 7 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 17 26 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            29 2 2 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 55 21 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            29 25 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 50 10 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 38 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 46 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 6 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 7 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            27 41 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 16 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 29 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 24 2 33</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 27 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 10 28 46</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            23 46 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 8 9 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 13 14 37</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 57 23 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 42 26 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 61 24 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 49 7 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 10 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 8 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 41 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 2 1 52</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 32 9 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 55 15 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 28 20 29</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 22 20 24</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 16 2 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 8 5 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 49 18 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 21 14 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 39 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 11 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 13 3 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 0 13 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 52 19 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 45 12 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 42 9 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 57 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 51 7 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 61 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 18 15 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 13 6 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 16 6 25</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 42 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 25 12 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 37 3 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            27 49 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            30 12 1 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 21 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 15 10 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 2 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 8 4 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 2 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 10 13 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 34 11 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 28 5 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 30 9 27</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 45 3 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 49 16 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 15 1 41</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 50 6 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 22 11 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            30 60 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 16 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 35 11 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 39 19 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            18 40 5 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 52 7 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 47 24 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 22 5 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            22 43 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 54 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 62 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 5 9 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 14 3 38</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 4 23 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 19 12 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 10 24 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 17 2 35</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 43 1 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 50 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 29 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 25 7 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 23 28 17</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 60 21 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 30 15 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 57 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 54 18 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 11 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 19 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 20 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 41 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 61 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 2 1 50</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 60 16 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 25 10 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 23 5 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 23 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 46 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 50 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 2 10 28</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 41 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 0 2 32</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 55 17 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 0 8 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 22 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 12 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            20 58 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            26 47 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 55 27 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 35 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 13 7 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 5 1 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 15 1 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 16 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 12 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 20 1 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 62 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 60 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            20 4 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 62 9 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 62 13 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 61 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 40 8 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 15 37</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 50 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 42 10 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 18 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 56 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 56 21 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 25 5 24</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 56 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 17 15 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 33 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 15 4 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 17 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 1 10 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 16 8 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 19 1 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 29 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 51 17 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 52 28 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 16 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 25 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            27 12 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 36 14 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 21 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 39 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 24 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 57 21 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 5 2 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 52 15 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 44 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 61 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 54 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 48 6 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 37 5 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 46 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 23 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 8 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 8 1 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 46 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 60 20 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 39 16 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 9 5 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 46 1 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 37 20 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 26 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 15 1 22</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 3 8 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 42 3 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 41 12 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 40 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 55 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 54 12 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 38 25 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 0 21 42</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 0 8 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 23 4 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 21 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 21 10 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 0 2 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 60 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            26 45 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 30 21 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 57 23 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 50 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            23 44 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 27 5 30</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 55 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 16 24 45</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 12 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 2 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            23 8 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 21 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 0 14 28</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 38 3 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 14 3 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 8 7 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 41 14 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 16 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 47 7 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 15 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 46 10 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 36 9 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 8 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 18 3 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 34 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 23 7 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 26 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 19 9 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 41 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 11 9 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 28 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 6 5 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 1 7 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 54 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 48 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 56 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 9 3 41</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 52 14 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 54 10 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 8 8 49</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 12 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 4 3 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 43 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 7 4 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 1 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 14 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 30 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            20 61 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 29 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 51 6 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 13 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 19 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 33 5 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 19 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 31 4 27</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 8 5 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 3 21 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 33 15 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 56 14 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 59 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 54 12 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 20 9 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 42 13 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            29 36 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            22 2 4 31</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 32 4 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 47 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 56 9 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 38 24 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 31 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 59 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            17 38 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 10 26 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 12 14 35</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 42 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 43 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 14 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 48 13 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 57 12 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 1 21 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 43 12 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 46 7 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            29 29 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 53 15 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 62 16 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 52 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 52 17 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 0 1 43</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 34 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 41 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 61 13 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 25 1 34</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 26 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 18 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 35 19 26</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            25 23 3 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 41 1 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 58 15 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 60 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            24 31 3 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 7 6 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 8 8 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 42 4 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 5 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 6 2 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 1 19 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 16 4 32</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 41 14 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 12 10 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 2 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            28 19 2 43</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 23 1 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 29 5 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            25 55 5 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 34 11 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 59 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            25 45 3 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 28 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 1 5 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 41 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 31 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 61 9 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 32 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 5 6 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 49 9 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 46 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 13 9 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 36 16 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 24 6 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 54 31 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 16 3 22</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 48 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 17 6 39</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 17 1 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 32 10 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 57 7 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 13 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 17 2 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 35 3 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 8 1 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 19 10 27</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 34 25 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 6 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 16 2 31</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 10 13 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 20 3 33</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 6 17 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 20 1 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 7 1 28</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 20 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 49 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 42 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 5 2 49</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 9 11 33</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 5 22 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 36 12 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 33 9 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 27 5 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 18 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 55 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 41 8 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 1 8 16</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 6 15 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 4 24 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 19 12 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 8 11 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 19 2 38</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 36 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 53 9 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 5 4 35</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 19 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 33 3 24</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 42 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 57 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 8 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 5 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 40 5 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 19 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            24 5 5 16</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 35 2 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 9 5 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 55 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 52 11 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 56 19 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 37 17 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 33 15 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 31 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 3 2 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 43 18 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 12 18 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 26 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 26 9 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 40 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 62 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 18 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 28 20 35</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 43 10 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 9 1 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 20 19 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 55 9 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 40 2 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 8 5 27</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 11 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 20 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 9 13 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 11 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 45 1 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 38 2 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 8 6 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 1 13 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 17 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 3 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 61 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 62 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 41 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 54 11 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 27 1 28</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 12 15 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 11 3 45</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 4 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 3 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 15 1 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 60 19 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 41 15 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 50 25 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 9 14 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 5 5 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 46 5 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 7 4 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 47 18 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 35 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 4 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 1 15 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 20 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 53 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 30 1 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 26 15 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 42 2 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 35 8 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 47 11 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 49 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 29 12 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 60 18 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 20 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 16 3 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 41 1 21</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 35 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 18 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 23 14 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            28 49 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 27 8 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 48 14 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 62 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 6 1 43</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 13 17 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            30 43 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 53 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 55 14 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            22 32 1 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 12 15 35</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 1 13 46</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 33 4 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 62 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 58 14 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 0 10 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 55 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 6 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 36 1 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 50 11 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 15 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 43 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 14 2 41</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 37 2 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 1 1 27</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 7 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 3 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 34 25 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 15 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 49 16 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 52 17 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 2 2 32</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 15 3 46</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 14 3 26</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 28 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 51 8 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 50 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 47 14 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            29 61 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 47 3 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 45 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 61 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 46 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 38 2 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 0 12 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 10 9 31</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            25 51 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 33 2 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 18 9 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 23 2 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 53 7 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 38 3 21</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 59 17 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 23 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 54 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 8 3 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 20 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 17 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 56 4 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 49 9 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 22 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 39 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 49 11 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 52 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            27 23 2 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 58 19 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 30 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 30 17 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 38 3 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 7 3 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 29 5 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 27 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 53 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            26 27 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 5 2 48</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 4 1 53</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 42 26 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 39 8 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 62 8 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            23 36 3 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 59 18 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 8 22 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 53 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 26 7 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 62 24 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 56 7 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 0 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 33 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 32 8 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 18 23 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 49 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 20 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 3 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 48 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 17 26 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 24 30 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 58 12 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 21 13 20</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 9 15 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 56 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 23 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 14 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 15 17 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 17 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 13 1 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 13 8 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 0 12 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 38 14 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 40 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 34 7 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 22 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 5 6 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 15 4 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 13 3 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 20 1 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 52 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 18 7 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 51 12 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 60 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 56 10 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 1 2 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 41 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 51 7 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 19 1 33</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 57 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 37 2 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 42 9 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 53 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 45 18 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 15 9 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            25 60 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 22 2 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 56 18 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            27 60 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 15 9 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 3 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 11 6 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 17 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 56 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            30 41 1 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 18 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 55 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 40 1 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 10 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 11 22 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 41 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 62 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 30 9 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 2 10 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 47 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 48 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 35 1 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 26 3 29</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 11 15 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 46 21 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            25 10 2 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 14 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            25 46 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 12 1 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 39 1 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 11 9 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 41 1 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 58 21 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 14 9 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 31 27 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 1 21 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 24 5 27</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 60 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 34 20 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 33 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 40 12 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 48 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 7 3 51</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 34 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 20 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 6 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 22 14 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 29 3 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 44 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 39 5 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 51 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 50 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            26 53 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 47 8 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 47 23 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 59 14 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            20 57 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            23 8 8 22</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 50 8 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 19 21 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 23 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 22 20 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 60 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 51 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 57 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 0 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 59 12 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 50 6 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 52 25 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 11 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            24 56 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 18 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 14 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 17 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 12 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 8 14 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 41 17 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 38 3 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 32 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 27 9 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 53 14 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 24 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 43 10 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 31 10 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 57 19 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 32 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 34 13 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 52 9 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 1 23 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 49 23 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 19 12 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 39 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 38 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 28 8 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 5 2 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 55 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 18 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 41 15 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 2 2 56</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 4 9 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 15 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 51 13 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 25 1 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            21 18 7 32</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 8 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 46 2 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 10 11 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 14 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 16 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 1 13 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 47 1 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 48 29 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 4 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 61 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 15 8 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 17 5 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 32 4 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 29 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 15 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 36 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 56 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 45 8 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 59 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            21 55 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 21 1 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 24 4 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 2 10 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 8 20 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 33 27 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 17 11 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 59 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 46 10 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 50 11 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 15 3 30</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 30 22 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 2 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            28 62 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 28 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 9 3 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 44 16 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 36 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 13 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 19 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 56 10 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 16 14 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 38 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 0 7 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 49 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 25 10 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 29 7 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 28 1 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 5 7 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 3 60</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 14 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 47 6 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 18 15 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 55 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 54 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 24 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 10 1 42</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 31 15 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 5 7 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 52 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 59 10 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 37 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 14 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 57 24 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 50 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 58 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 43 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            25 42 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 40 12 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 53 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 42 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 12 12 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 42 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 17 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 6 14 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 17 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 56 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 20 14 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 16 1 42</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 52 8 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 50 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 20 7 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 22 15 36</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 6 9 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 2 3 38</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 56 20 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 55 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 32 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 24 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 7 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 19 25 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 14 5 44</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            28 32 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 1 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 45 6 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 10 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 43 18 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 19 4 42</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 42 5 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 25 3 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 13 6 38</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            22 52 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 61 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 23 3 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 35 8 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 40 12 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 29 19 16</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 27 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 3 1 55</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 43 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 8 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 53 20 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 4 1 31</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 17 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 56 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 34 13 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 15 5 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 13 1 21</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 18 3 32</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 17 10 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 10 14 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 14 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 62 15 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 28 18 28</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 11 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 32 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 6 8 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 49 10 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 40 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 18 2 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 15 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 13 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 60 12 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 18 9 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 18 48</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 18 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 52 22 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 47 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 35 6 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 12 13 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 56 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 38 8 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 22 2 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 33 8 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 30 40</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 37 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 0 10 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 29 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 15 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 14 12 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 10 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 1 7 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 62 28 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 42 3 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 44 14 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            20 29 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 38 13 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 50 7 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 37 4 25</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 7 1 40</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 55 9 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 47 14 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 25 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 39 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 1 50</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 16 23 30</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 18 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 58 12 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            30 54 1 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 26 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 36 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 39 26 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 50 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 49 10 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 38 9 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 41 14 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 55 10 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 1 31</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 0 2 62</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 53 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 18 18 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 60 15 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 38 19 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 24 3 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 25 1 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 35 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 9 11 16</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            24 23 4 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            28 12 1 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 2 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 23 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 14 3 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 31 22 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 48 11 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 20 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 52 3 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            24 36 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 7 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 16 4 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 56 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 40 29 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 38 11 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 34 2 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 20 7 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 12 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 62 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 62 13 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 39 1 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 3 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 2 8 52</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 37 1 22</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 31 18 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            20 11 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 12 14 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 3 14 46</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 33 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 6 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 1 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 51 8 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 58 17 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 28 14 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 20 3 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 21 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 17 6 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 46 8 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 30 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 33 5 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 53 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 29 5 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 53 21 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 50 16 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 49 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 44 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 41 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 59 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 27 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            20 39 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 15 1 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 2 1 52</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 7 8 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 54 4 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 39 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 23 7 30</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 26 9 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 5 6 41</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 43 11 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 12 7 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 0 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 59 28 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 49 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 10 2 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 7 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            27 15 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 52 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 57 14 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 51 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 24 16 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 58 13 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 9 17 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 19 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 18 13 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 9 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 8 26 39</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 24 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 31 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            23 32 8 31</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 16 3 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 47 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 48 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 29 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 56 21 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 46 8 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 36 10 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 56 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 59 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 16 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 61 17 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 55 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 29 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 58 9 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 8 4 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 27 8 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 48 5 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 34 10 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 57 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 19 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 41 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 17 3 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 55 12 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 62 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 7 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 55 10 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 13 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 34 8 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 29 4 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 31 2 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 38 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 10 13 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 27 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 10 12 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 43 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 50 12 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 10 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 2 10 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 12 5 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 15 8 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 31 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 7 2 47</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            26 44 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 54 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 18 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 58 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 41 15 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 58 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 0 8 37</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 26 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 36 2 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 59 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 7 3 41</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 17 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 49 3 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 57 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 54 11 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 38 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            22 53 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 61 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 53 19 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 42 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 9 15 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            23 61 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 57 21 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 50 14 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            23 46 1 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 11 12 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 41 3 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            22 23 6 28</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 27 4 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 42 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 29 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 60 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 53 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 16 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 35 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 36 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 24 3 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 47 13 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 51 16 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 26 2 21</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 51 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            22 45 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 10 20 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 47 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            25 16 6 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 21 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 56 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            24 36 2 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 48 19 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 59 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 59 28 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 8 11 32</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 25 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 51 5 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 59 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 51 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 7 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 14 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 28 12 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 27 1 28</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            17 19 6 35</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 30 20 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 15 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 18 7 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 36 16 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 54 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 9 7 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 3 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 38 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 36 21 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 62 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 51 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 54 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 15 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 47 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 37 14 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 5 4 54</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 29 6 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 32 10 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 58 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 38 20 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 14 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 8 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 14 3 38</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 40 2 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 24 2 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 22 1 29</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 59 12 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 27 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 8 13 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            30 42 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 35 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 41 8 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 57 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 49 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 14 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 10 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 39 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 11 17 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 33 1 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 57 13 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 21 10 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 19 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 0 13 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 36 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 37 15 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 38 6 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 39 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 62 15 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            29 28 2 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 46 12 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 59 14 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 24 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            27 12 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 55 7 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 33 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 44 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 39 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 25 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 17 33</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 52 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 62 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 17 6 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 18 2 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 12 9 23</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 52 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 59 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 54 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 62 18 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 62 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 19 8 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            24 29 4 34</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 30 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 7 9 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 17 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 44 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 6 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 44 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 57 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 50 7 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            27 14 2 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 53 26 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 62 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 61 25 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 18 5 38</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 39 3 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 42 8 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 14 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 9 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 18 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 4 11 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 39 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            26 19 2 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            25 18 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 44 19 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 18 5 28</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 52 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 45 2 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 58 16 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 30 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 42 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 51 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 52 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 0 7 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 39 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 7 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 33 2 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 3 16 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 1 17 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 55 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 14 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 9 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 0 7 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 21 21 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 15 10 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 56 19 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 51 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 55 11 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 57 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 1 7 53</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 48 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 22 14 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 31 3 31</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 54 9 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 32 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 9 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 2 2 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 37 22 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 57 19 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 44 16 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 52 9 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 21 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 16 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 21 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 9 11 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 25 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 57 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 8 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 49 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 40 1 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            28 36 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 8 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            29 38 1 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 13 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 37 2 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 52 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 21 1 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 0 12 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 20 6 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 11 1 41</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 54 28 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 62 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 16 8 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 62 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 57 8 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 53 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 59 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 54 10 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 49 8 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 53 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 34 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 13 9 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 14 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 60 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 31 11 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 35 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 20 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 6 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 52 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 16 7 39</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 62 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 17 1 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 6 48</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 36 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 41 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 30 19 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 40 6 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 43 11 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 24 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 16 11 24</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 26 12 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 24 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 21 3 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 21 9 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 2 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 17 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 52 18 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 57 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 44 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 10 13 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            25 44 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            23 27 8 27</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 53 25 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 48 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 23 2 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 1 3 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 16 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 18 14 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 16 5 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 21 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 57 19 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 55 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 4 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 19 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 8 4 49</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 5 8 48</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 30 10 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 40 4 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 34 1 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 26 10 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 8 7 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 33 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 55 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 34 19 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 52 26 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 6 1 47</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 44 5 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 37 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 21 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 21 3 42</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            22 62 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 12 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 59 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 35 11 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            23 40 6 21</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 35 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 34 10 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 18 2 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 28 8 19</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 17 2 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 15 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 25 3 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 24 7 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 11 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            23 14 8 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 24 11 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 62 30 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 40 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 26 11 36</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 56 20 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 50 7 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 46 18 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 14 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 32 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 41 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 57 20 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 56 19 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 26 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 46 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 25 18 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            29 52 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 26 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 29 12 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 3 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 23 3 21</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 39 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 41 25 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            28 49 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 38 10 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 12 10 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 32 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 42 13 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 16 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 14 3 42</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 54 26 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            17 17 8 38</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 50 14 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 24 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 56 20 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 50 16 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 0 21 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 15 22 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 17 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 50 6 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 46 3 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 7 3 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 14 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 54 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 43 7 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 54 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 20 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 15 13 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 60 22 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 54 10 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 7 4 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 39 6 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 54 25 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 0 10 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 1 4 31</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 19 10 17</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 26 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 19 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 53 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            28 40 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 6 1 35</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 13 20 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 2 1 37</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 12 16 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 22 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 58 10 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 50 6 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 59 21 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 43 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 7 4 39</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 48 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 44 17 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 21 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 40 5 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 34 25 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 45 3 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 41 1 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 9 13 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 46 2 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 28 6 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 11 21 46</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 16 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 3 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 25 1 37</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 5 8 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 4 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 46 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 22 13 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 22 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 13 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 61 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 19 11 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 12 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 7 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 12 2 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 61 16 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 32 6 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 27 6 29</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            21 24 7 27</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 40 12 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 49 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 57 14 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 35 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 18 4 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 11 18 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 50 10 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 20 7 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 40 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 41 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 10 7 47</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 61 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 53 10 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 62 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 19 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 10 5 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 36 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 38 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 7 5 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 36 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 61 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 40 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 61 14 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 24 6 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 8 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 1 12 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 0 4 42</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 7 13 45</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 45 1 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 49 19 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 33 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 42 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 52 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 18 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 7 6 32</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 9 26</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 5 9 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 2 11 41</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 59 24 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 36 15 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 46 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 11 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 13 2 24</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 55 21 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 60 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 61 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 57 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 43 14 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 33 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 12 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 20 23 35</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 17 6 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 1 1 36</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 17 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 1 7 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 4 14 43</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 51 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 58 20 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 51 13 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 62 14 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 46 14 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 17 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 45 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 45 1 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 52 17 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 34 7 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 33 9 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 31 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 21 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 8 9 39</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 16 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 54 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 30 1 28</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 62 25 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            25 4 1 51</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 10 10 38</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 61 15 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 50 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 37 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 32 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 0 10 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 33 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 48 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 53 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 42 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 54 16 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 14 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 36 1 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 33 27 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            29 28 2 25</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 18 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 12 21 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 55 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 53 7 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 21 1 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 44 27 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 8 5 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 54 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 35 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            25 59 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 59 21 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 46 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 24 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 43 11 16</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            26 41 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 52 16 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 20 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 49 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 20 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 56 31 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 24 18 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 21 14 32</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 0 7 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 16 4 29</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 14 8 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 17 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 20 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 19 21 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 62 18 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 30 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 7 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 46 10 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 56 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 53 23 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 10 2 49</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 46 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 38 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 18 2 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 52 16 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 18 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 59 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 37 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 14 5 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 21 1 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 3 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 58 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 33 3 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 38 1 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 62 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 29 8 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 4 3 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 32 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 7 2 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 17 2 46</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 61 29 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 60 14 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 20 13 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 13 4 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 49 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 1 46</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 1 7 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 42 3 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 36 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 19 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 8 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 47 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 55 22 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 41 1 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 44 3 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 35 8 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 26 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 53 19 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 28 7 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 41 12 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 1 2 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 8 8 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 55 12 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 7 26 38</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 33 4 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 51 21 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 9 10 50</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 46 22 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 28 2 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 28 3 29</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 52 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 9 25</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 56 21 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 48 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 5 9 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 6 17 27</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 4 7 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 40 6 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 40 2 22</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 29 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 11 6 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 14 13 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 0 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 1 10 36</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 12 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 53 22 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 55 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 35 8 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 16 6 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 42 5 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 6 16 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 34 26 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 37 17 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 23 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 17 4 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 53 24 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 51 9 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 47 1 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 56 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 51 12 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 42 6 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 12 9 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 29 11 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 5 8 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 58 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            26 19 1 36</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 3 12 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 20 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 10 12 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 27 11 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 44 7 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 39 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 58 13 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 17 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 38 17 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 1 19 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 27 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 6 20 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 24 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 21 21 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 7 8 47</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 62 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 61 21 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 20 13 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 34 8 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            24 39 3 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 4 1 53</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 8 4 31</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 29 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 48 1 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 36 8 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 19 1 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 19 2 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 16 5 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 8 18 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 42 7 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 40 12 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 41 7 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 59 24 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            25 31 6 23</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 14 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 17 5 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 11 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 21 4 37</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 39 8 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 8 22 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 32 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 42 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 25 1 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 16 6 38</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 51 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 45 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 0 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 34 11 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 45 25 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 20 3 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 17 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 46 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 18 7 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 49 16 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 12 12 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 54 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 47 18 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 59 15 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 29 4 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 27 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 34 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 30 3 31</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            22 23 6 28</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 24 23 25</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 20 15 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 13 2 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 3 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 62 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 46 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 49 9 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 7 6 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 0 2 29</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 1 30 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 41 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            27 36 3 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 45 12 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 49 19 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 28 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            27 24 3 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 62 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 42 1 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 9 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 35 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 62 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 53 11 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 61 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 33 5 21</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 23 5 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 2 4 50</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 25 16 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 11 8 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 1 3 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 43 3 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 44 12 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 5 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 41 12 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 17 2 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 9 15 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 53 19 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 39 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 42 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 38 11 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 24 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 32 3 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            21 58 9 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 12 19 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 58 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 42 30 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 0 8 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 39 8 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 2 1 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 37 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 54 8 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 38 4 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 45 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 7 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 42 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 18 7 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 38 10 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 14 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 45 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 2 12 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 16 8 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 8 7 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 60 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 50 13 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 33 29 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 33 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 3 3 50</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 59 20 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 12 9 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 34 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            26 34 3 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            20 39 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 11 4 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 61 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 17 2 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 53 19 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 13 8 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 15 9 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 26 4 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 39 2 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 36 13 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 40 8 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 3 11 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 53 22 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 25 2 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 51 17 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 53 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 30 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 55 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 58 17 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 44 13 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 19 7 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 18 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 1 4 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 53 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 37 20 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 62 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 61 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 46 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 42 6 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 43 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 19 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 22 10 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 36 1 19</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 35 14 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 57 27 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 52 24 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 20 3 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 6 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 56 12 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 5 1 25</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 1 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 15 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 19 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 60 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 28 3 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 5 6 28</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 36 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 5 4 40</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 16 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 11 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 45 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 49 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 32 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 25 2 38</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 13 19 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 37 25 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 11 20 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 34 14 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 56 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 20 17 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 55 18 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 61 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 48 13 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 18 9 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 35 9 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 19 8 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 15 3 36</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 6 2 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 54 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 50 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 32 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 56 17 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 13 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 13 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 28 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 12 4 28</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 45 26 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 0 11 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 8 7 54</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 53 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 57 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 37 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 0 1 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 35 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 15 10 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 56 7 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 49 9 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 48 15 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 45 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 23 28 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 51 10 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 40 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 46 13 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 54 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 55 18 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 52 10 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 30 5 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 16 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            22 6 5 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 13 12 27</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 12 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 62 16 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 47 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            25 12 5 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 26 4 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 37 3 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 55 14 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 37 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 56 21 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 20 20 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 27 6 28</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 58 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 45 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 39 4 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 10 11 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 38 18 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 54 17 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 56 14 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 18 2 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 0 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 8 25 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 14 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 32 2 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 41 13 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 24 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 39 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 36 13 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 8 4 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 5 9 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 37 22 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 49 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 37 15 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 38 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 24 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 4 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 38 12 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 3 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 56 12 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 23 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 37 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 53 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 39 11 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 9 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 2 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 21 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            29 31 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 48 7 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 19 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 24 12 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 5 8 39</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 14 17 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 44 3 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 52 5 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 24 2 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 18 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 61 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 15 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 18 22 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 60 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 55 18 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 58 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 39 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 26 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 15 3 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 6 2 52</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 36 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            22 31 1 27</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 12 3 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 38 14 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 41 10 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 41 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 54 6 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 3 1 51</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 28 5 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 28 18 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 21 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 33 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 33 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 47 13 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 52 13 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 41 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 49 20 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 57 18 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 51 20 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            22 29 6 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 59 15 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 59 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 6 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 18 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 2 1 37</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            25 62 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 62 28 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 48 17 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 39 6 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 62 10 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 52 26 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 20 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 14 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 24 4 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 45 6 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 55 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 4 14 43</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 10 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 1 1 36</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 24 2 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 35 8 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 45 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 33 7 23</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 40 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 20 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 20 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 20 11 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 27 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 51 7 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 12 10 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 4 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 40 28 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 62 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 50 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 17 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 54 8 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 10 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 38 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 24 11 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 43 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 42 1 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            27 37 4 23</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 22 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 6 5 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 48 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 50 12 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 45 5 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 36 1 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 26 21 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            30 22 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 42 8 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 5 4 46</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 36 4 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 29 11 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 35 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 38 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 45 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 37 2 17</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            18 0 8 36</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 8 5 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 59 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            24 7 6 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 10 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 42 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 12 18 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 17 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 4 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 13 6 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 35 1 23</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 10 3 21</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 19 5 34</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 45 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 19 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 14 2 30</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 61 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 27 4 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 62 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 49 10 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 32 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 18 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 1 11 46</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 9 16 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 22 16 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 32 4 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 25 8 21</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 55 22 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 1 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 28 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 55 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 13 12 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 60 7 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 38 4 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 34 6 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 40 4 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 45 1 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 33 10 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            29 45 2 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 51 7 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 53 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 59 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 27 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 42 14 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 4 7 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 25 11 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 1 13 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 7 5 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 23 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 23 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 62 20 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 16 16 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            29 27 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 60 28 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 44 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 62 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 21 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 33 9 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 35 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 51 8 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 40 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 42 1 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 15 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 0 12 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 9 6 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 32 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 1 14 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 62 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 18 12 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            29 22 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 15 13 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 38 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 35 6 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 36 14 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 36 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 22 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 41 4 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 24 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 55 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 17 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 44 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 39 16 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 54 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 17 1 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 56 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            30 3 1 43</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 57 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 32 2 26</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 38 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 25 1 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 46 2 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 13 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 48 17 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 32 5 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 57 10 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 11 9 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 18 1 33</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 0 5 29</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 13 7 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 59 13 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 49 16 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 15 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 21 6 38</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 53 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 19 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 22 11 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 7 3 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 19 4 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 35 3 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 62 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 51 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 58 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 16 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 27 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 43 11 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 29 3 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 42 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 55 10 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 37 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 37 15 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 28 26 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 38 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 8 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 6 13 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 59 23 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 29 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 20 23 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 53 4 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 14 2 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 62 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 33 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 12 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 14 2 38</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 17 1 25</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 0 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 37 5 23</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 1 27</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 48 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 25 2 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 11 6 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 29 27 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 21 2 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 37 13 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 38 3 21</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 31 3 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 7 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 29 21 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            25 47 4 14</rect></_></features></_>
-            </octaves></first-soft-sascade>
-</opencv_storage>
diff --git a/data/softcascade/soft-cascade-17.12.2012.xml b/data/softcascade/soft-cascade-17.12.2012.xml
deleted file mode 100644
index 53b331771b..0000000000
--- a/data/softcascade/soft-cascade-17.12.2012.xml
+++ /dev/null
@@ -1,61409 +0,0 @@
-<?xml version="1.0"?>
-<!-- Soft Cascade for pedestrian detection trained with the OpenCV sft application. -->
-<!-- Training set: INRIA-->
-<!-- Number of octaves: 3-->
-<!-- Pruning method: DBP-->
-<!-- Autor: cuda-geek (https://github.com/cuda-geek)-->
-<opencv_storage>
-<first-soft-sascade>
-  <stageType>BOOST</stageType>
-  <featureType>ICF</featureType>
-  <octavesNum>2</octavesNum>
-  <width>64</width>
-  <height>128</height>
-  <shrinkage>4</shrinkage>
-  <octaves>
-    <_>
-      <scale>-1</scale>
-      <weaks>1024</weaks>
-      <trees>
-        <_>
-          <treeThreshold>-9.5012789964675903e-01</treeThreshold>
-          <internalNodes>
-            1 2 0 1.8500000000000000e+01 0 -1 1 4.3500000000000000e+01
-            -2 -3 2 1.9450000000000000e+02</internalNodes>
-          <leafValues>
-            -9.5012789964675903e-01 -2.9720270633697510e-01
-            -2.9430621862411499e-01 7.3214149475097656e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.8469017744064331e+00</treeThreshold>
-          <internalNodes>
-            1 2 3 1.8500000000000000e+01 0 -1 4 2.2500000000000000e+01
-            -2 -3 5 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9677393436431885e-01 -1.8941508233547211e-01
-            7.5006955862045288e-01 -3.4874141216278076e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.9278457164764404e+00</treeThreshold>
-          <internalNodes>
-            1 2 6 2.5000000000000000e+00 0 -1 7 3.5000000000000000e+00
-            -2 -3 8 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5432754755020142e-01 6.0192030668258667e-01
-            -8.6220905184745789e-02 -7.8830271959304810e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.0459990501403809e+00</treeThreshold>
-          <internalNodes>
-            1 2 9 2.8050000000000000e+02 0 -1 10 3.0500000000000000e+01
-            -2 -3 11 2.0650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.6523125171661377e-01 6.2897056341171265e-01
-            -6.1464875936508179e-01 1.4870776236057281e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.9268010854721069e+00</treeThreshold>
-          <internalNodes>
-            1 2 12 2.5000000000000000e+00 0 -1 13 1.3950000000000000e+02
-            -2 -3 14 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1907974481582642e-01 -6.7812407016754150e-01
-            -5.7240998744964600e-01 -3.5707135684788227e-03</leafValues></_>
-        <_>
-          <treeThreshold>-2.0900535583496094e+00</treeThreshold>
-          <internalNodes>
-            1 2 15 6.5000000000000000e+00 0 -1 16 15. -2 -3 17
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2232090234756470e-01 9.2363566160202026e-01
-            -4.0120652318000793e-01 2.3156598210334778e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.7761936187744141e+00</treeThreshold>
-          <internalNodes>
-            1 2 18 5.0000000000000000e-01 0 -1 19 9.5000000000000000e+00
-            -2 -3 20 5.3750000000000000e+02</internalNodes>
-          <leafValues>
-            -9.7140210866928101e-01 3.4920582175254822e-01
-            3.1386005878448486e-01 -4.9332338571548462e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.0153183937072754e+00</treeThreshold>
-          <internalNodes>
-            1 2 21 1.7500000000000000e+01 0 -1 22 6.8500000000000000e+01
-            -2 -3 23 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3912493884563446e-01 3.3838593959808350e-01
-            -7.1801131963729858e-01 5.3687918186187744e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.1310541629791260e+00</treeThreshold>
-          <internalNodes>
-            1 2 24 2.3450000000000000e+02 0 -1 25 1.0500000000000000e+01
-            -2 -3 26 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1573559045791626e-01 5.1111555099487305e-01
-            -2.8667950630187988e-01 -9.5794141292572021e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.2023301124572754e+00</treeThreshold>
-          <internalNodes>
-            1 2 27 1.3850000000000000e+02 0 -1 28 452. -2 -3 29
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.5731714665889740e-01 6.3469970226287842e-01
-            -8.0850583314895630e-01 -7.1276061236858368e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.6770468950271606e+00</treeThreshold>
-          <internalNodes>
-            1 2 30 6.5000000000000000e+00 0 -1 31 4.5000000000000000e+00
-            -2 -3 32 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.2528321743011475e-01 -7.8995868563652039e-02
-            9.5720395445823669e-02 -5.6723904609680176e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.3941235542297363e+00</treeThreshold>
-          <internalNodes>
-            1 2 33 3.5000000000000000e+00 0 -1 34 1.4500000000000000e+01
-            -2 -3 35 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7468622922897339e-01 2.0731732249259949e-01
-            5.8709150552749634e-01 -2.1824225783348083e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.5158585309982300e+00</treeThreshold>
-          <internalNodes>
-            1 2 36 3.8750000000000000e+02 0 -1 37 9.7750000000000000e+02
-            -2 -3 38 1.9650000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8788299560546875e-01 6.3032716512680054e-01
-            4.9424678087234497e-01 -1.3836935162544250e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.0430263280868530e+00</treeThreshold>
-          <internalNodes>
-            1 2 39 5.5000000000000000e+00 0 -1 40 1.7350000000000000e+02
-            -2 -3 41 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.9170929193496704e-01 -7.5231981277465820e-01
-            4.7283220291137695e-01 -1.1902561783790588e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.1032968759536743e+00</treeThreshold>
-          <internalNodes>
-            1 2 42 2.5000000000000000e+00 0 -1 43 1.3500000000000000e+01
-            -2 -3 44 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6969792842864990e-01 3.7228900194168091e-01
-            5.8657836914062500e-01 -1.9372792541980743e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.5280647277832031e+00</treeThreshold>
-          <internalNodes>
-            1 2 45 2.8150000000000000e+02 0 -1 46 4.2450000000000000e+02
-            -2 -3 47 2.1250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8411449193954468e-02 7.8837996721267700e-01
-            -4.7494259476661682e-01 2.8464019298553467e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.0321290493011475e+00</treeThreshold>
-          <internalNodes>
-            1 2 48 1.5000000000000000e+00 0 -1 49 4.5000000000000000e+00
-            -2 -3 50 5.5950000000000000e+02</internalNodes>
-          <leafValues>
-            -6.0609322786331177e-01 4.9593561887741089e-01
-            1.8881231546401978e-01 -4.0145736932754517e-01</leafValues></_>
-        <_>
-          <treeThreshold>-9.3644380569458008e-01</treeThreshold>
-          <internalNodes>
-            1 2 51 7.5000000000000000e+00 0 -1 52 1.4500000000000000e+01
-            -2 -3 53 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.1585260629653931e-01 2.4648176133632660e-01
-            5.6837874650955200e-01 -1.3694801926612854e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.0617676973342896e+00</treeThreshold>
-          <internalNodes>
-            1 2 54 4.5000000000000000e+00 0 -1 55 1.2500000000000000e+01
-            -2 -3 56 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.3339017033576965e-01 4.7121417522430420e-01
-            1.8128056824207306e-01 -5.1285779476165771e-01</leafValues></_>
-        <_>
-          <treeThreshold>-6.2032651901245117e-01</treeThreshold>
-          <internalNodes>
-            1 2 57 1.5000000000000000e+00 0 -1 58 1.5000000000000000e+00
-            -2 -3 59 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2779033184051514e-01 1.0640925168991089e-01
-            4.6505826711654663e-01 -1.6317188739776611e-01</leafValues></_>
-        <_>
-          <treeThreshold>-6.5824747085571289e-01</treeThreshold>
-          <internalNodes>
-            1 2 60 7.5000000000000000e+00 0 -1 61 167. -2 -3 62
-            1.8250000000000000e+02</internalNodes>
-          <leafValues>
-            2.4175660312175751e-01 -5.8483225107192993e-01
-            2.0644801855087280e-01 -8.0665886402130127e-01</leafValues></_>
-        <_>
-          <treeThreshold>-7.1831238269805908e-01</treeThreshold>
-          <internalNodes>
-            1 2 63 6.9500000000000000e+01 0 -1 64 7.6500000000000000e+01
-            -2 -3 65 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.2556771337985992e-02 -6.5026998519897461e-01
-            5.9127175807952881e-01 -6.0064859688282013e-02</leafValues></_>
-        <_>
-          <treeThreshold>-3.6641231179237366e-01</treeThreshold>
-          <internalNodes>
-            1 2 66 2.5000000000000000e+00 0 -1 67 9.5000000000000000e+00
-            -2 -3 68 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1. -8.7841242551803589e-01 5.2141785621643066e-01
-            -7.7443666756153107e-02</leafValues></_>
-        <_>
-          <treeThreshold>-5.2976346015930176e-01</treeThreshold>
-          <internalNodes>
-            1 2 69 5.5000000000000000e+00 0 -1 70 4.5000000000000000e+00
-            -2 -3 71 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.3286893367767334e-01 3.1164222955703735e-01
-            -6.4843946695327759e-01 -9.4713028520345688e-03</leafValues></_>
-        <_>
-          <treeThreshold>-1.0462005436420441e-01</treeThreshold>
-          <internalNodes>
-            1 2 72 2.5000000000000000e+00 0 -1 73 2.2500000000000000e+01
-            -2 -3 74 3.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -2.2241120040416718e-01 4.2514342069625854e-01
-            -6.2022697925567627e-01 -2.1613531280308962e-03</leafValues></_>
-        <_>
-          <treeThreshold>-4.1905093193054199e-01</treeThreshold>
-          <internalNodes>
-            1 2 75 5.0000000000000000e-01 0 -1 76 1.0500000000000000e+01
-            -2 -3 77 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.3456168174743652e-01 5.1736986637115479e-01
-            3.2318654656410217e-01 -3.1443089246749878e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.1851119399070740e-01</treeThreshold>
-          <internalNodes>
-            1 2 78 3.1050000000000000e+02 0 -1 79 3.8150000000000000e+02
-            -2 -3 80 8.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -5.4317831993103027e-01 2.3649862408638000e-01
-            4.4128182530403137e-01 -7.1100425720214844e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.1222758144140244e-01</treeThreshold>
-          <internalNodes>
-            1 2 81 1.3650000000000000e+02 0 -1 82 3.7750000000000000e+02
-            -2 -3 83 2.6650000000000000e+02</internalNodes>
-          <leafValues>
-            4.9750706553459167e-01 -6.6604055464267731e-02
-            4.3410289287567139e-01 -8.9592015743255615e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.8000379502773285e-02</treeThreshold>
-          <internalNodes>
-            1 2 84 2.5000000000000000e+00 0 -1 85 1.4500000000000000e+01
-            -2 -3 86 2.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -9.6911776065826416e-01 1. -1.3952983915805817e-01
-            3.3815029263496399e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.5849213302135468e-01</treeThreshold>
-          <internalNodes>
-            1 2 87 7.7500000000000000e+01 0 -1 88 5.9500000000000000e+01
-            -2 -3 89 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0255717039108276e-01 6.2929701805114746e-01
-            -2.9795819520950317e-01 4.0392214059829712e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6327178478240967e-01</treeThreshold>
-          <internalNodes>
-            1 2 90 3.9550000000000000e+02 0 -1 91 1.0489500000000000e+04
-            -2 -3 92 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.4078457355499268e-01 7.8851234912872314e-01
-            2.0467810332775116e-01 -3.1230095028877258e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3822142481803894e-01</treeThreshold>
-          <internalNodes>
-            1 2 93 5.0000000000000000e-01 0 -1 94 1.2500000000000000e+01
-            -2 -3 95 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5812388658523560e-01 4.5648851990699768e-01
-            4.5675429701805115e-01 -1.3456618785858154e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4469082951545715e-01</treeThreshold>
-          <internalNodes>
-            1 2 96 3.5000000000000000e+00 0 -1 97 3.6500000000000000e+01
-            -2 -3 98 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0035567283630371e-01 5.0112813711166382e-01
-            -8.6166876554489136e-01 3.7724488973617554e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6956720352172852e-01</treeThreshold>
-          <internalNodes>
-            1 2 99 1.0550000000000000e+02 0 -1 100
-            1.2500000000000000e+01 -2 -3 101 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.2487638890743256e-01 -4.5224958658218384e-01
-            3.0894690752029419e-01 -7.5535982847213745e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1666103601455688e-01</treeThreshold>
-          <internalNodes>
-            1 2 102 2.8500000000000000e+01 0 -1 103
-            3.5000000000000000e+00 -2 -3 104 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.5290616750717163e-01 1.8281166255474091e-01
-            -7.3649674654006958e-01 5.4959553480148315e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0689119100570679e-01</treeThreshold>
-          <internalNodes>
-            1 2 105 3.5000000000000000e+00 0 -1 106 5237. -2 -3 107
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.9023018479347229e-01 -5.4936188459396362e-01
-            3.6571535468101501e-01 -5.0305444002151489e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0967818498611450e-01</treeThreshold>
-          <internalNodes>
-            1 2 108 1.5500000000000000e+01 0 -1 109
-            4.5000000000000000e+00 -2 -3 110 1.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.5840584039688110e-01 5.8356761932373047e-01
-            -3.6643344163894653e-01 2.2655297815799713e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0086126327514648e-01</treeThreshold>
-          <internalNodes>
-            1 2 111 1.0500000000000000e+01 0 -1 112
-            5.0000000000000000e-01 -2 -3 113 1.2635000000000000e+03</internalNodes>
-          <leafValues>
-            5.0495159626007080e-01 -4.8832163214683533e-02
-            2.2899670898914337e-01 -4.9697116017341614e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7307834625244141e-01</treeThreshold>
-          <internalNodes>
-            1 2 114 2.9150000000000000e+02 0 -1 115
-            5.5000000000000000e+00 -2 -3 116 9.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9401218891143799e-01 -8.0010555684566498e-02
-            5.7397758960723877e-01 -2.7782956138253212e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0845705270767212e+00</treeThreshold>
-          <internalNodes>
-            1 2 117 5.0000000000000000e-01 0 -1 118 284. -2 -3 119
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.4017835557460785e-02 -9.6925717592239380e-01
-            3.7892198562622070e-01 -1.2604229152202606e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1155402660369873e+00</treeThreshold>
-          <internalNodes>
-            1 2 120 1.5450000000000000e+02 0 -1 121
-            1.5000000000000000e+00 -2 -3 122 1592.</internalNodes>
-          <leafValues>
-            1.7225900292396545e-01 -3.6658996343612671e-01
-            6.2922006845474243e-01 -9.0177220106124878e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0400385856628418e+00</treeThreshold>
-          <internalNodes>
-            1 2 123 5.5000000000000000e+00 0 -1 124
-            1.7500000000000000e+01 -2 -3 125 1.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -9.7996032238006592e-01 7.8947758674621582e-01
-            -7.5501605868339539e-02 4.3294844031333923e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1339187622070312e+00</treeThreshold>
-          <internalNodes>
-            1 2 126 9.7500000000000000e+01 0 -1 127
-            2.9250000000000000e+02 -2 -3 128 1.4295000000000000e+03</internalNodes>
-          <leafValues>
-            -1.4177480340003967e-01 6.4076822996139526e-01
-            1.1370572447776794e-01 -4.2702060937881470e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0979689359664917e+00</treeThreshold>
-          <internalNodes>
-            1 2 129 1.5000000000000000e+00 0 -1 130
-            1.5000000000000000e+00 -2 -3 131 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.7480251789093018e-01 4.6609196066856384e-01
-            -7.4496293067932129e-01 -3.5949852317571640e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0266015529632568e+00</treeThreshold>
-          <internalNodes>
-            1 2 132 1.6350000000000000e+02 0 -1 133
-            1.1500000000000000e+01 -2 -3 134 1.8850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1367286145687103e-02 4.7941169142723083e-01
-            5.1196765899658203e-01 -9.4453811645507812e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2505228519439697e-01</treeThreshold>
-          <internalNodes>
-            1 2 135 2.5000000000000000e+00 0 -1 136
-            2.1500000000000000e+01 -2 -3 137 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8950824737548828e-01 3.6323049664497375e-01
-            5.6324285268783569e-01 -1.8082305788993835e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1348617076873779e+00</treeThreshold>
-          <internalNodes>
-            1 2 138 3.5000000000000000e+00 0 -1 139
-            3.5000000000000000e+00 -2 -3 140 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0641523599624634e-01 2.0980948209762573e-01
-            -5.3471750020980835e-01 7.4605226516723633e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4714344739913940e+00</treeThreshold>
-          <internalNodes>
-            1 2 141 1.5000000000000000e+00 0 -1 142
-            3.5000000000000000e+00 -2 -3 143 1.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -2.5343874096870422e-01 4.9269351363182068e-01
-            4.8652476072311401e-01 -3.2821950316429138e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7966657876968384e+00</treeThreshold>
-          <internalNodes>
-            1 2 144 3.5000000000000000e+00 0 -1 145 1783. -2 -3 146
-            1.2050000000000000e+02</internalNodes>
-          <leafValues>
-            3.2523140311241150e-01 -7.0333176851272583e-01
-            -4.5311710238456726e-01 2.2552411258220673e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7584462165832520e+00</treeThreshold>
-          <internalNodes>
-            1 2 147 1.0250000000000000e+02 0 -1 148
-            5.0000000000000000e-01 -2 -3 149 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            8.2317180931568146e-02 -5.6285864114761353e-01
-            -6.0523116588592529e-01 4.0714663267135620e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7976785898208618e+00</treeThreshold>
-          <internalNodes>
-            1 2 150 3.5000000000000000e+00 0 -1 151
-            5.5000000000000000e+00 -2 -3 152 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.0874970555305481e-01 3.7341198325157166e-01
-            2.7862945199012756e-01 -4.5596393942832947e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7746678590774536e+00</treeThreshold>
-          <internalNodes>
-            1 2 153 1.5000000000000000e+00 0 -1 154
-            2.5000000000000000e+00 -2 -3 155 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1464399099349976e-01 5.8418504893779755e-02
-            5.7755649089813232e-01 -2.3010652512311935e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.0253760814666748e+00</treeThreshold>
-          <internalNodes>
-            1 2 156 5.0000000000000000e-01 0 -1 157
-            4.0850000000000000e+02 -2 -3 158 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            6.2876778841018677e-01 -1.9982345402240753e-01
-            -3.5285717248916626e-01 3.6293578147888184e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8680905103683472e+00</treeThreshold>
-          <internalNodes>
-            1 2 159 7.5000000000000000e+00 0 -1 160
-            2.5000000000000000e+00 -2 -3 161 189.</internalNodes>
-          <leafValues>
-            2.4808044731616974e-01 -2.6951324939727783e-01
-            7.8451949357986450e-01 -9.3933510780334473e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0279662609100342e+00</treeThreshold>
-          <internalNodes>
-            1 2 162 6.5000000000000000e+00 0 -1 163 100. -2 -3 164
-            8.5500000000000000e+01</internalNodes>
-          <leafValues>
-            7.3292237520217896e-01 -8.0948019027709961e-01
-            -6.9746565818786621e-01 1.5987591445446014e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8203108310699463e+00</treeThreshold>
-          <internalNodes>
-            1 2 165 3.5000000000000000e+00 0 -1 166
-            5.0000000000000000e-01 -2 -3 167 6.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.1079363226890564e-01 4.8067408800125122e-01
-            -6.4559924602508545e-01 -1.4250530861318111e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.2858772277832031e+00</treeThreshold>
-          <internalNodes>
-            1 2 168 9.5000000000000000e+00 0 -1 169
-            5.5000000000000000e+00 -2 -3 170 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.8022292852401733e-01 4.7293016314506531e-01
-            7.0228189229965210e-01 -2.0867574959993362e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4012672901153564e+00</treeThreshold>
-          <internalNodes>
-            1 2 171 1.7650000000000000e+02 0 -1 172
-            5.3385000000000000e+03 -2 -3 173 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.1539006233215332e-01 -7.8521311283111572e-01
-            5.3917598724365234e-01 -9.2911219596862793e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3799149990081787e+00</treeThreshold>
-          <internalNodes>
-            1 2 174 4.7500000000000000e+01 0 -1 175
-            2.5000000000000000e+00 -2 -3 176 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.1352419629693031e-02 -6.8268537521362305e-01
-            4.3736723065376282e-01 -3.1157660484313965e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1095426082611084e+00</treeThreshold>
-          <internalNodes>
-            1 2 177 1.5000000000000000e+00 0 -1 178
-            4.9500000000000000e+01 -2 -3 179 1.0150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1707659959793091e-01 3.5209715366363525e-01
-            -5.0708782672882080e-01 7.8934565186500549e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.7217743396759033e+00</treeThreshold>
-          <internalNodes>
-            1 2 180 2.7350000000000000e+02 0 -1 181
-            1.2495000000000000e+03 -2 -3 182 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.0943363457918167e-02 8.7893438339233398e-01
-            -1.0237722657620907e-02 -5.5019938945770264e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4565997123718262e+00</treeThreshold>
-          <internalNodes>
-            1 2 183 5.0000000000000000e-01 0 -1 184
-            1.0500000000000000e+01 -2 -3 185 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.5214826464653015e-01 5.9661501646041870e-01
-            -2.7218982577323914e-01 4.9512678384780884e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8743238449096680e+00</treeThreshold>
-          <internalNodes>
-            1 2 186 4.5000000000000000e+00 0 -1 187
-            5.5000000000000000e+00 -2 -3 188 577.</internalNodes>
-          <leafValues>
-            4.3948319554328918e-01 -3.0406862497329712e-01
-            -5.0375759601593018e-01 7.1215182542800903e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.7736363410949707e+00</treeThreshold>
-          <internalNodes>
-            1 2 189 2.1500000000000000e+01 0 -1 190
-            5.5000000000000000e+00 -2 -3 191 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1727577336132526e-03 -7.4696260690689087e-01
-            -5.2629309892654419e-01 2.2158136963844299e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6128091812133789e+00</treeThreshold>
-          <internalNodes>
-            1 2 192 5.0000000000000000e-01 0 -1 193
-            2.5000000000000000e+00 -2 -3 194 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.3062634468078613e-01 -9.8423433303833008e-01
-            2.8110432624816895e-01 -1.6082715988159180e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9834272861480713e+00</treeThreshold>
-          <internalNodes>
-            1 2 195 1.3500000000000000e+01 0 -1 196
-            7.9150000000000000e+02 -2 -3 197 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.1296024322509766e-01 -7.4958539009094238e-01
-            3.7061801552772522e-01 -1.2306307256221771e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2170827388763428e+00</treeThreshold>
-          <internalNodes>
-            1 2 198 1.6065000000000000e+03 0 -1 199
-            5.5000000000000000e+00 -2 -3 200 2.0275000000000000e+03</internalNodes>
-          <leafValues>
-            -3.0168825387954712e-01 2.3365539312362671e-01
-            6.6802793741226196e-01 -5.8256161212921143e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1492726802825928e+00</treeThreshold>
-          <internalNodes>
-            1 2 201 4.1250000000000000e+02 0 -1 202
-            2.0450000000000000e+02 -2 -3 203 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3608095049858093e-01 4.6414726972579956e-01
-            -5.3371006250381470e-01 6.7616206407546997e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1982100009918213e+00</treeThreshold>
-          <internalNodes>
-            1 2 204 8.3500000000000000e+01 0 -1 205
-            5.5000000000000000e+00 -2 -3 206 251.</internalNodes>
-          <leafValues>
-            4.8937290906906128e-02 8.2636904716491699e-01
-            -8.5127645730972290e-01 8.0275185406208038e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.2608339786529541e+00</treeThreshold>
-          <internalNodes>
-            1 2 207 1.6905000000000000e+03 0 -1 208
-            3.3250000000000000e+02 -2 -3 209 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6938320994377136e-01 -3.5710576176643372e-01
-            -3.4840288758277893e-01 4.0339687466621399e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5624730587005615e+00</treeThreshold>
-          <internalNodes>
-            1 2 210 4.5500000000000000e+01 0 -1 211
-            5.5000000000000000e+00 -2 -3 212 1119.</internalNodes>
-          <leafValues>
-            -1.0512005537748337e-01 3.5630321502685547e-01
-            3.0504852533340454e-01 -9.0767818689346313e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4595894813537598e+00</treeThreshold>
-          <internalNodes>
-            1 2 213 5.0000000000000000e-01 0 -1 214
-            2.5000000000000000e+00 -2 -3 215 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.3885670900344849e-01 3.9579227566719055e-01
-            1.1626762151718140e-01 -4.5416545867919922e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2765171527862549e+00</treeThreshold>
-          <internalNodes>
-            1 2 216 5.0000000000000000e-01 0 -1 217
-            1.1500000000000000e+01 -2 -3 218 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.9969311952590942e-01 4.1484233736991882e-01
-            -3.2088482379913330e-01 4.5076516270637512e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0572440624237061e+00</treeThreshold>
-          <internalNodes>
-            1 2 219 5.5000000000000000e+00 0 -1 220
-            1.5000000000000000e+00 -2 -3 221 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7427183687686920e-01 -2.9311054944992065e-01
-            6.4205944538116455e-01 -9.0328532457351685e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2041997909545898e+00</treeThreshold>
-          <internalNodes>
-            1 2 222 4.5000000000000000e+00 0 -1 223
-            7.5000000000000000e+00 -2 -3 224 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7655025720596313e-01 6.6966646909713745e-01
-            1.4695560932159424e-01 -5.8665174245834351e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5032150745391846e+00</treeThreshold>
-          <internalNodes>
-            1 2 225 4.5000000000000000e+00 0 -1 226 979. -2 -3 227
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.2506183385848999e-01 6.3425189256668091e-01
-            -4.2429834604263306e-01 6.0787576436996460e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6615941524505615e+00</treeThreshold>
-          <internalNodes>
-            1 2 228 5.7050000000000000e+02 0 -1 229
-            8.3850000000000000e+02 -2 -3 230 2.7850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.0941934585571289e-01 4.8675090074539185e-01
-            5.6111901998519897e-01 -3.3019056916236877e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4909577369689941e+00</treeThreshold>
-          <internalNodes>
-            1 2 231 119. 0 -1 232 7.7500000000000000e+01 -2 -3 233
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.9900823831558228e-01 1.7894685268402100e-01
-            -9.1172474622726440e-01 8.9065861701965332e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8275330066680908e+00</treeThreshold>
-          <internalNodes>
-            1 2 234 1.5000000000000000e+00 0 -1 235
-            3.5000000000000000e+00 -2 -3 236 1.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.7380899190902710e-01 3.3657526969909668e-01
-            4.9761232733726501e-01 -3.7721511721611023e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9486763477325439e+00</treeThreshold>
-          <internalNodes>
-            1 2 237 2.9050000000000000e+02 0 -1 238
-            5.8650000000000000e+02 -2 -3 239 1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9971680641174316e-01 4.3016415834426880e-01
-            5.5699282884597778e-01 -8.1054642796516418e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.3176374435424805e+00</treeThreshold>
-          <internalNodes>
-            1 2 240 1.5000000000000000e+00 0 -1 241
-            9.5000000000000000e+00 -2 -3 242 2.2725000000000000e+03</internalNodes>
-          <leafValues>
-            4.6376305818557739e-01 -2.7650564908981323e-01
-            -4.1137817502021790e-01 2.4273988604545593e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1106867790222168e+00</treeThreshold>
-          <internalNodes>
-            1 2 243 6.5000000000000000e+00 0 -1 244
-            5.0000000000000000e-01 -2 -3 245 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7755906283855438e-01 -3.1547075510025024e-01
-            7.1589088439941406e-01 -8.6598944664001465e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0493078231811523e+00</treeThreshold>
-          <internalNodes>
-            1 2 246 2.4500000000000000e+01 0 -1 247
-            7.5000000000000000e+00 -2 -3 248 1.5150000000000000e+02</internalNodes>
-          <leafValues>
-            -4.5098224282264709e-01 3.3610948920249939e-01
-            3.3537614345550537e-01 -5.4964864253997803e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3437886238098145e+00</treeThreshold>
-          <internalNodes>
-            1 2 249 8.5500000000000000e+01 0 -1 250
-            6.7500000000000000e+01 -2 -3 251 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7396150827407837e-01 6.1177849769592285e-01
-            -5.7394933700561523e-01 5.3601197898387909e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.5774736404418945e+00</treeThreshold>
-          <internalNodes>
-            1 2 252 1.8500000000000000e+01 0 -1 253
-            2.8500000000000000e+01 -2 -3 254 727.</internalNodes>
-          <leafValues>
-            -1.4022175967693329e-01 3.5069212317466736e-01
-            -7.6631480455398560e-01 4.6660822629928589e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4339537620544434e+00</treeThreshold>
-          <internalNodes>
-            1 2 255 2.5000000000000000e+00 0 -1 256
-            1.0500000000000000e+01 -2 -3 257 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.6909920573234558e-01 5.9753483533859253e-01
-            -2.9939565062522888e-01 5.9079831838607788e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5545070171356201e+00</treeThreshold>
-          <internalNodes>
-            1 2 258 1.5000000000000000e+00 0 -1 259
-            1.5000000000000000e+00 -2 -3 260 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.5771971940994263e-01 4.3755933642387390e-01
-            1.2055332958698273e-01 -4.8447567224502563e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6163067817687988e+00</treeThreshold>
-          <internalNodes>
-            1 2 261 2.5000000000000000e+00 0 -1 262
-            2.5000000000000000e+00 -2 -3 263 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.5749617218971252e-01 4.9238750338554382e-01
-            -4.1662833094596863e-01 2.3165223002433777e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4895346164703369e+00</treeThreshold>
-          <internalNodes>
-            1 2 264 3.1050000000000000e+02 0 -1 265
-            1.0050000000000000e+02 -2 -3 266 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.2677235901355743e-01 3.9842021465301514e-01
-            -5.6282222270965576e-01 5.5186986923217773e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6868834495544434e+00</treeThreshold>
-          <internalNodes>
-            1 2 267 2.5500000000000000e+01 0 -1 268
-            1.5000000000000000e+00 -2 -3 269 1268.</internalNodes>
-          <leafValues>
-            -9.5765352249145508e-01 1.9734899699687958e-01
-            -5.6331878900527954e-01 5.9383141994476318e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0580706596374512e+00</treeThreshold>
-          <internalNodes>
-            1 2 270 1.1265000000000000e+03 0 -1 271
-            1.7050000000000000e+02 -2 -3 272 8.0750000000000000e+02</internalNodes>
-          <leafValues>
-            5.8629125356674194e-01 -1.2970197200775146e-01
-            -3.2385781407356262e-01 6.9086676836013794e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2803778648376465e+00</treeThreshold>
-          <internalNodes>
-            1 2 273 4.9500000000000000e+01 0 -1 274 192. -2 -3 275
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.3941868543624878e-01 -5.5941039323806763e-01
-            3.9892393350601196e-01 -2.0006304979324341e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2550206184387207e+00</treeThreshold>
-          <internalNodes>
-            1 2 276 1.2850000000000000e+02 0 -1 277
-            9.5000000000000000e+00 -2 -3 278 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.0197376608848572e-01 2.9125767946243286e-01
-            2.2862918674945831e-01 -9.8660701513290405e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2192134857177734e+00</treeThreshold>
-          <internalNodes>
-            1 2 279 7.5000000000000000e+00 0 -1 280
-            2.5000000000000000e+00 -2 -3 281 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.1448464393615723e-01 3.8536703586578369e-01
-            -6.9239240884780884e-01 -3.5807080566883087e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4406690597534180e+00</treeThreshold>
-          <internalNodes>
-            1 2 282 2.5000000000000000e+00 0 -1 283
-            5.0000000000000000e-01 -2 -3 284 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.0960946083068848e-01 -4.9593481421470642e-01
-            3.2813104987144470e-01 -3.3382579684257507e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4840297698974609e+00</treeThreshold>
-          <internalNodes>
-            1 2 285 1326. 0 -1 286 612. -2 -3 287 1.9450000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 7.9890018701553345e-01 -6.5918892621994019e-01
-            4.3361011892557144e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5319285392761230e+00</treeThreshold>
-          <internalNodes>
-            1 2 288 2.7500000000000000e+01 0 -1 289
-            1.7500000000000000e+01 -2 -3 290 5.4450000000000000e+02</internalNodes>
-          <leafValues>
-            1.7646867036819458e-01 -4.9880924820899963e-01
-            3.1044688820838928e-01 -7.8504896163940430e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3263564109802246e+00</treeThreshold>
-          <internalNodes>
-            1 2 291 1.0500000000000000e+01 0 -1 292
-            1.1500000000000000e+01 -2 -3 293 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3414199948310852e-01 1.9703163206577301e-01
-            6.7141562700271606e-01 -4.7605592012405396e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6897392272949219e+00</treeThreshold>
-          <internalNodes>
-            1 2 294 5.0000000000000000e-01 0 -1 295
-            1.5000000000000000e+00 -2 -3 296 1.1595000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9713282585144043e-01 3.6338269710540771e-01
-            -5.1299923658370972e-01 1.8765503168106079e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9953885078430176e+00</treeThreshold>
-          <internalNodes>
-            1 2 297 5.0000000000000000e-01 0 -1 298
-            7.5000000000000000e+00 -2 -3 299 3.8265000000000000e+03</internalNodes>
-          <leafValues>
-            -7.9099249839782715e-01 4.3731418251991272e-01
-            -8.8410943746566772e-02 -9.4131457805633545e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4915475845336914e+00</treeThreshold>
-          <internalNodes>
-            1 2 300 5.5000000000000000e+00 0 -1 301
-            2.5000000000000000e+00 -2 -3 302 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8182158470153809e-01 3.5027420520782471e-01
-            -5.4620689153671265e-01 6.2989845871925354e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6564993858337402e+00</treeThreshold>
-          <internalNodes>
-            1 2 303 1.2450000000000000e+02 0 -1 304
-            4.1500000000000000e+01 -2 -3 305 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.5387880802154541e-01 1.6495206952095032e-01
-            -7.3650360107421875e-01 5.6925100088119507e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1468167304992676e+00</treeThreshold>
-          <internalNodes>
-            1 2 306 3.5000000000000000e+00 0 -1 307
-            1.4050000000000000e+02 -2 -3 308 2.3075000000000000e+03</internalNodes>
-          <leafValues>
-            4.9031701683998108e-01 -5.3763668984174728e-02
-            -5.3901141881942749e-01 1.5980558097362518e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9970083236694336e+00</treeThreshold>
-          <internalNodes>
-            1 2 309 5.5000000000000000e+00 0 -1 310
-            3.8250000000000000e+02 -2 -3 311 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.3255308568477631e-01 -6.7066764831542969e-01
-            2.6553070545196533e-01 -3.9240267872810364e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3259134292602539e+00</treeThreshold>
-          <internalNodes>
-            1 2 312 3.2500000000000000e+01 0 -1 313
-            1.5000000000000000e+00 -2 -3 314 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.2956449389457703e-01 -3.9639618992805481e-01
-            -7.3431020975112915e-01 4.9653601646423340e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1569843292236328e+00</treeThreshold>
-          <internalNodes>
-            1 2 315 5.0000000000000000e-01 0 -1 316
-            3.5000000000000000e+00 -2 -3 317 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.3922284841537476e-01 6.8794727325439453e-01
-            3.0406209826469421e-01 -1.6892936825752258e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3804125785827637e+00</treeThreshold>
-          <internalNodes>
-            1 2 318 1.0350000000000000e+02 0 -1 319
-            2.8050000000000000e+02 -2 -3 320 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.5797357112169266e-02 -4.8595803976058960e-01
-            -1.2136862426996231e-01 5.7313364744186401e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3404531478881836e+00</treeThreshold>
-          <internalNodes>
-            1 2 321 2.5500000000000000e+01 0 -1 322
-            1.7575000000000000e+03 -2 -3 323 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9259653985500336e-02 -6.0744369029998779e-01
-            -6.7395132780075073e-01 7.1949076652526855e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1782426834106445e+00</treeThreshold>
-          <internalNodes>
-            1 2 324 9.5000000000000000e+00 0 -1 325
-            3.8500000000000000e+01 -2 -3 326 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.8507616519927979e-01 8.9975792169570923e-01
-            3.3316615223884583e-01 -1.6221044957637787e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3394045829772949e+00</treeThreshold>
-          <internalNodes>
-            1 2 327 2.4500000000000000e+01 0 -1 328
-            2.0150000000000000e+02 -2 -3 329 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.5301911234855652e-02 -9.8104661703109741e-01
-            -5.8636808395385742e-01 1.6720375418663025e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5081224441528320e+00</treeThreshold>
-          <internalNodes>
-            1 2 330 5.8500000000000000e+01 0 -1 331
-            1.4500000000000000e+01 -2 -3 332 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6871802508831024e-01 -5.5092507600784302e-01
-            8.8998925685882568e-01 -6.9766056537628174e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6306805610656738e+00</treeThreshold>
-          <internalNodes>
-            1 2 333 3.3500000000000000e+01 0 -1 334
-            6.1500000000000000e+01 -2 -3 335 85.</internalNodes>
-          <leafValues>
-            -7.0117294788360596e-01 1.2255829572677612e-01
-            -8.1785792112350464e-01 6.1549854278564453e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6915154457092285e+00</treeThreshold>
-          <internalNodes>
-            1 2 336 3.2500000000000000e+01 0 -1 337
-            5.0000000000000000e-01 -2 -3 338 63.</internalNodes>
-          <leafValues>
-            1.2218275666236877e-01 -3.5413163900375366e-01
-            6.3612997531890869e-01 -7.0456862449645996e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5900840759277344e+00</treeThreshold>
-          <internalNodes>
-            1 2 339 2.3500000000000000e+01 0 -1 340
-            2.5000000000000000e+00 -2 -3 341 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.0174416899681091e-01 -5.1127249002456665e-01
-            4.2617842555046082e-01 -1.0143126547336578e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7180328369140625e+00</treeThreshold>
-          <internalNodes>
-            1 2 342 5.0000000000000000e-01 0 -1 343
-            2.5000000000000000e+00 -2 -3 344 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.8413861393928528e-01 4.6811124682426453e-01
-            -4.2584285140037537e-01 1.2794874608516693e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6654319763183594e+00</treeThreshold>
-          <internalNodes>
-            1 2 345 8.5000000000000000e+00 0 -1 346
-            5.0000000000000000e-01 -2 -3 347 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.5142386853694916e-02 -7.1302425861358643e-01
-            5.4278182983398438e-01 -5.2601240575313568e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.9350528717041016e+00</treeThreshold>
-          <internalNodes>
-            1 2 348 9.5000000000000000e+00 0 -1 349
-            4.1500000000000000e+01 -2 -3 350 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.7161600589752197e-01 -7.7127242088317871e-01
-            2.6962128281593323e-01 -2.5871616601943970e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1475706100463867e+00</treeThreshold>
-          <internalNodes>
-            1 2 351 3.5000000000000000e+00 0 -1 352
-            1.5000000000000000e+00 -2 -3 353 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.0578659772872925e-01 2.1251763403415680e-01
-            -7.6094323396682739e-01 2.9446750879287720e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.0555124282836914e+00</treeThreshold>
-          <internalNodes>
-            1 2 354 3.8350000000000000e+02 0 -1 355
-            4.0750000000000000e+02 -2 -3 356 1.9150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.6622998714447021e-01 8.8135695457458496e-01
-            6.9238609075546265e-01 -9.2058457434177399e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.9078083038330078e+00</treeThreshold>
-          <internalNodes>
-            1 2 357 4.5000000000000000e+00 0 -1 358
-            4.5000000000000000e+00 -2 -3 359 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2137272357940674e-01 5.1432526111602783e-01
-            1.1733544617891312e-01 -3.9842006564140320e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8863000869750977e+00</treeThreshold>
-          <internalNodes>
-            1 2 360 5.5000000000000000e+00 0 -1 361
-            2.5000000000000000e+00 -2 -3 362 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.5861698389053345e-01 -6.5906637907028198e-01
-            5.7050561904907227e-01 -2.1508345380425453e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2535686492919922e+00</treeThreshold>
-          <internalNodes>
-            1 2 363 3.4450000000000000e+02 0 -1 364
-            7.1500000000000000e+01 -2 -3 365 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5537836551666260e-01 -5.6128257513046265e-01
-            -2.7890142798423767e-01 3.6726871132850647e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5200557708740234e+00</treeThreshold>
-          <internalNodes>
-            1 2 366 3.8500000000000000e+01 0 -1 367
-            2.0050000000000000e+02 -2 -3 368 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.1050746738910675e-01 2.6648724079132080e-01
-            7.2144305706024170e-01 -7.6943892240524292e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5856919288635254e+00</treeThreshold>
-          <internalNodes>
-            1 2 369 1.1985000000000000e+03 0 -1 370
-            9.8450000000000000e+02 -2 -3 371 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.8643079325556755e-02 6.2855046987533569e-01
-            2.2027526795864105e-01 -4.5711979269981384e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7288737297058105e+00</treeThreshold>
-          <internalNodes>
-            1 2 372 237. 0 -1 373 3.5000000000000000e+00 -2 -3 374
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.0923789739608765e-01 1.4318189024925232e-01 1.
-            -9.4612187147140503e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6858677864074707e+00</treeThreshold>
-          <internalNodes>
-            1 2 375 6.5000000000000000e+00 0 -1 376
-            2.5500000000000000e+01 -2 -3 377 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.9098368883132935e-01 3.4622213244438171e-01
-            1.2213265895843506e-01 -4.9110993742942810e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8649945259094238e+00</treeThreshold>
-          <internalNodes>
-            1 2 378 6.5000000000000000e+00 0 -1 379
-            1.2500000000000000e+01 -2 -3 380 99.</internalNodes>
-          <leafValues>
-            -2.1010144054889679e-01 5.2433401346206665e-01
-            7.3402822017669678e-01 -7.3039847612380981e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8893485069274902e+00</treeThreshold>
-          <internalNodes>
-            1 2 381 7.2750000000000000e+02 0 -1 382
-            1.5000000000000000e+00 -2 -3 383 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1361672282218933e-01 -1.7031247913837433e-01
-            -7.2145223617553711e-01 3.5980513691902161e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2283496856689453e+00</treeThreshold>
-          <internalNodes>
-            1 2 384 5.0000000000000000e-01 0 -1 385
-            1.3500000000000000e+01 -2 -3 386 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4181987047195435e-01 3.3900079131126404e-01
-            -5.1880490779876709e-01 1.1900121718645096e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9692182540893555e+00</treeThreshold>
-          <internalNodes>
-            1 2 387 1.6150000000000000e+02 0 -1 388
-            1.5000000000000000e+00 -2 -3 389 3210.</internalNodes>
-          <leafValues>
-            1.9477361440658569e-01 -3.0752164125442505e-01
-            7.8654778003692627e-01 -7.6034039258956909e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2192230224609375e+00</treeThreshold>
-          <internalNodes>
-            1 2 390 1.3500000000000000e+01 0 -1 391
-            4.3500000000000000e+01 -2 -3 392 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5000450015068054e-01 -5.3074920177459717e-01
-            -5.3798520565032959e-01 4.1968035697937012e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2540907859802246e+00</treeThreshold>
-          <internalNodes>
-            1 2 393 2.0500000000000000e+01 0 -1 394
-            2.7500000000000000e+01 -2 -3 395 4.3650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3686313629150391e-01 3.4867912530899048e-02
-            2.9541721940040588e-01 -2.1020221710205078e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8051357269287109e+00</treeThreshold>
-          <internalNodes>
-            1 2 396 5.5000000000000000e+00 0 -1 397
-            6.5000000000000000e+00 -2 -3 398 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.2886292934417725e-01 -7.8918439149856567e-01
-            3.7567043304443359e-01 -1.4743655920028687e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4688086509704590e+00</treeThreshold>
-          <internalNodes>
-            1 2 399 1.0150000000000000e+02 0 -1 400
-            4.5000000000000000e+00 -2 -3 401 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1463156938552856e-01 2.9845802113413811e-02
-            6.6367262601852417e-01 -1.1338147521018982e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1031336784362793e+00</treeThreshold>
-          <internalNodes>
-            1 2 402 3.5000000000000000e+00 0 -1 403
-            2.5000000000000000e+00 -2 -3 404 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6626499891281128e-01 3.6989590525627136e-01
-            -6.6719317436218262e-01 2.5169936940073967e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.3519058227539062e+00</treeThreshold>
-          <internalNodes>
-            1 2 405 9.1500000000000000e+01 0 -1 406
-            5.5000000000000000e+00 -2 -3 407 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4877189099788666e-01 -2.2317972779273987e-01
-            -9.1418403387069702e-01 4.2734485864639282e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6044559478759766e+00</treeThreshold>
-          <internalNodes>
-            1 2 408 3.2500000000000000e+01 0 -1 409
-            2.5000000000000000e+00 -2 -3 410 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4795474112033844e-01 -4.5940175652503967e-01
-            -3.3580735325813293e-01 3.5987770557403564e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4985055923461914e+00</treeThreshold>
-          <internalNodes>
-            1 2 411 1.5000000000000000e+00 0 -1 412
-            2.5000000000000000e+00 -2 -3 413 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.2485938072204590e-01 4.3017619848251343e-01
-            1.4399667084217072e-01 -3.7108924984931946e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4325051307678223e+00</treeThreshold>
-          <internalNodes>
-            1 2 414 5.0000000000000000e-01 0 -1 415
-            1.5500000000000000e+01 -2 -3 416 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.7985265254974365e-01 2.5532016158103943e-01
-            4.2890861630439758e-01 -6.6000163555145264e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5405216217041016e+00</treeThreshold>
-          <internalNodes>
-            1 2 417 2.5000000000000000e+00 0 -1 418
-            2.7500000000000000e+01 -2 -3 419 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3683986663818359e-01 5.2743852138519287e-01
-            1.4352023601531982e-01 -6.3558804988861084e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7823953628540039e+00</treeThreshold>
-          <internalNodes>
-            1 2 420 1.5000000000000000e+00 0 -1 421
-            1.1500000000000000e+01 -2 -3 422 2.8445000000000000e+03</internalNodes>
-          <leafValues>
-            -4.9917691946029663e-01 3.4004133939743042e-01
-            -4.3708419799804688e-01 2.8981977701187134e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7242145538330078e+00</treeThreshold>
-          <internalNodes>
-            1 2 423 5.0850000000000000e+02 0 -1 424
-            5.0000000000000000e-01 -2 -3 425 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2104169130325317e-01 -5.8180812746286392e-02
-            -7.3210656642913818e-01 2.3212959989905357e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5139360427856445e+00</treeThreshold>
-          <internalNodes>
-            1 2 426 1.8500000000000000e+01 0 -1 427
-            1.0500000000000000e+01 -2 -3 428 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0844607949256897e-01 1.8616256117820740e-01
-            -5.5996507406234741e-01 7.4107706546783447e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9558534622192383e+00</treeThreshold>
-          <internalNodes>
-            1 2 429 5.0000000000000000e-01 0 -1 430
-            6.5000000000000000e+00 -2 -3 431 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7995741367340088e-01 8.8524711132049561e-01
-            4.4191744923591614e-01 -7.6589852571487427e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.7786240577697754e+00</treeThreshold>
-          <internalNodes>
-            1 2 432 8.5000000000000000e+00 0 -1 433
-            3.5000000000000000e+00 -2 -3 434 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6137225627899170e-01 6.0514140129089355e-01
-            1.9689162075519562e-01 -2.9731762409210205e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9885544776916504e+00</treeThreshold>
-          <internalNodes>
-            1 2 435 4.1065000000000000e+03 0 -1 436
-            5.5000000000000000e+00 -2 -3 437 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.1495328843593597e-01 2.0993046462535858e-01
-            -9.7390574216842651e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>7.6729865074157715e+00</treeThreshold>
-          <internalNodes>
-            1 2 438 1.3950000000000000e+02 0 -1 439
-            3.3925000000000000e+03 -2 -3 440 2.1550000000000000e+02</internalNodes>
-          <leafValues>
-            3.6841154098510742e-02 8.2625699043273926e-01
-            -3.1556785106658936e-01 4.3009120225906372e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7963547706604004e+00</treeThreshold>
-          <internalNodes>
-            1 2 441 4.5000000000000000e+00 0 -1 442
-            5.5000000000000000e+00 -2 -3 443 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.0316175222396851e-01 6.6048818826675415e-01
-            2.5080832839012146e-01 -2.9886415600776672e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0473546981811523e+00</treeThreshold>
-          <internalNodes>
-            1 2 444 1.4500000000000000e+01 0 -1 445
-            3.5000000000000000e+00 -2 -3 446 167.</internalNodes>
-          <leafValues>
-            -7.5895428657531738e-01 -5.0374951213598251e-02
-            2.5099954009056091e-01 -7.8038960695266724e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2508106231689453e+00</treeThreshold>
-          <internalNodes>
-            1 2 447 4.7500000000000000e+01 0 -1 448
-            1.5000000000000000e+00 -2 -3 449 203.</internalNodes>
-          <leafValues>
-            2.0345664024353027e-01 -3.1519731879234314e-01
-            8.4153503179550171e-01 -9.4352102279663086e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1843194961547852e+00</treeThreshold>
-          <internalNodes>
-            1 2 450 3.5000000000000000e+00 0 -1 451
-            6.4850000000000000e+02 -2 -3 452 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6491708159446716e-02 -7.7391004562377930e-01
-            3.7316158413887024e-01 -4.7069379687309265e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4241552352905273e+00</treeThreshold>
-          <internalNodes>
-            1 2 453 1.9550000000000000e+02 0 -1 454
-            1.1500000000000000e+01 -2 -3 455 9.7500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4798521995544434e-02 -7.5356280803680420e-01
-            6.0888707637786865e-01 -3.6627348512411118e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.6226053237915039e+00</treeThreshold>
-          <internalNodes>
-            1 2 456 8.5000000000000000e+00 0 -1 457
-            4.9500000000000000e+01 -2 -3 458 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3793772459030151e-01 7.5767761468887329e-01
-            1.9845020771026611e-01 -4.8551425337791443e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7387495040893555e+00</treeThreshold>
-          <internalNodes>
-            1 2 459 5.0000000000000000e-01 0 -1 460
-            9.7050000000000000e+02 -2 -3 461 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.5290706753730774e-01 3.9906808733940125e-01
-            7.3734633624553680e-02 -5.0943487882614136e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9511775970458984e+00</treeThreshold>
-          <internalNodes>
-            1 2 462 1.5500000000000000e+01 0 -1 463 5042. -2 -3 464
-            2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4684890657663345e-02 -7.5078099966049194e-01
-            -6.8602824211120605e-01 2.1242773532867432e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7704448699951172e+00</treeThreshold>
-          <internalNodes>
-            1 2 465 1.5000000000000000e+00 0 -1 466
-            3.5000000000000000e+00 -2 -3 467 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.2990430593490601e-01 3.2908669114112854e-01
-            5.0670707225799561e-01 -3.3556681871414185e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1967802047729492e+00</treeThreshold>
-          <internalNodes>
-            1 2 468 1.0150000000000000e+02 0 -1 469
-            4.5000000000000000e+00 -2 -3 470 2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            1.6923974454402924e-01 -4.5475739240646362e-01
-            5.2751308679580688e-01 -1.5509577095508575e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7917280197143555e+00</treeThreshold>
-          <internalNodes>
-            1 2 471 1.1500000000000000e+01 0 -1 472
-            6.5000000000000000e+00 -2 -3 473 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4862127304077148e-01 4.2279773950576782e-01
-            -3.5587507486343384e-01 3.5129797458648682e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7312154769897461e+00</treeThreshold>
-          <internalNodes>
-            1 2 474 4.5000000000000000e+00 0 -1 475
-            6.5000000000000000e+00 -2 -3 476 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.7193367481231689e-01 4.3259933590888977e-01
-            4.7951751947402954e-01 -3.5498926043510437e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0832386016845703e+00</treeThreshold>
-          <internalNodes>
-            1 2 477 1.2500000000000000e+01 0 -1 478
-            3.1050000000000000e+02 -2 -3 479 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.9946447610855103e-02 -5.3463864326477051e-01 -1.
-            9.2522376775741577e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1005811691284180e+00</treeThreshold>
-          <internalNodes>
-            1 2 480 1.9150000000000000e+02 0 -1 481
-            9.8500000000000000e+01 -2 -3 482 9.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7142339944839478e-01 8.8559025526046753e-01
-            8.3444190025329590e-01 1.7342502251267433e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0058355331420898e+00</treeThreshold>
-          <internalNodes>
-            1 2 483 5.0000000000000000e-01 0 -1 484
-            1.1500000000000000e+01 -2 -3 485 2.1350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3807235956192017e-01 6.2658375501632690e-01
-            -4.1266942024230957e-01 1.2879027426242828e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5705127716064453e+00</treeThreshold>
-          <internalNodes>
-            1 2 486 5.5000000000000000e+00 0 -1 487
-            3.5000000000000000e+00 -2 -3 488 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.6467759609222412e-01 -8.9094005525112152e-02
-            -5.1642411947250366e-01 2.5749623775482178e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5358695983886719e+00</treeThreshold>
-          <internalNodes>
-            1 2 489 3.5000000000000000e+00 0 -1 490
-            8.5000000000000000e+00 -2 -3 491 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.6485316753387451e-01 6.5110367536544800e-01
-            3.9514154195785522e-01 -9.5468178391456604e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.2215585708618164e+00</treeThreshold>
-          <internalNodes>
-            1 2 492 4.5000000000000000e+00 0 -1 493
-            6.0450000000000000e+02 -2 -3 494 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6174043416976929e-01 -6.0333174467086792e-01
-            2.1922779083251953e-01 -4.6940636634826660e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5052928924560547e+00</treeThreshold>
-          <internalNodes>
-            1 2 495 1.9500000000000000e+01 0 -1 496
-            6.2500000000000000e+01 -2 -3 497 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4998350441455841e-01 9.3333595991134644e-01
-            4.7144135832786560e-01 -5.3084665536880493e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.6855897903442383e+00</treeThreshold>
-          <internalNodes>
-            1 2 498 1.0150000000000000e+02 0 -1 499
-            1.9050000000000000e+02 -2 -3 500 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.0934317111968994e-01 1.8029752373695374e-01
-            -9.4084495306015015e-01 4.4628155231475830e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.7318124771118164e+00</treeThreshold>
-          <internalNodes>
-            1 2 501 1.0505000000000000e+03 0 -1 502
-            8.6850000000000000e+02 -2 -3 503 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6222873032093048e-02 -5.8092010021209717e-01
-            4.7866767644882202e-01 -8.6627846956253052e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9474916458129883e+00</treeThreshold>
-          <internalNodes>
-            1 2 504 5.5000000000000000e+00 0 -1 505
-            1.5000000000000000e+00 -2 -3 506 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            9.3323081731796265e-01 -7.6642012596130371e-01
-            3.1724649667739868e-01 -1.7054216563701630e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.6730003356933594e+00</treeThreshold>
-          <internalNodes>
-            1 2 507 5.0000000000000000e-01 0 -1 508
-            7.1500000000000000e+01 -2 -3 509 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            6.1226785182952881e-01 -3.1147494912147522e-01
-            -3.7605938315391541e-01 1.1878117173910141e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9316091537475586e+00</treeThreshold>
-          <internalNodes>
-            1 2 510 2.5000000000000000e+00 0 -1 511
-            4.3500000000000000e+01 -2 -3 512 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6135699748992920e-01 1. 2.5860905647277832e-01
-            -1.8475803732872009e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.9168720245361328e+00</treeThreshold>
-          <internalNodes>
-            1 2 513 3.5000000000000000e+00 0 -1 514
-            1.0500000000000000e+01 -2 -3 515 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.7490390539169312e-01 5.8689129352569580e-01
-            6.0520070791244507e-01 -1.8357265740633011e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.9600400924682617e+00</treeThreshold>
-          <internalNodes>
-            1 2 516 1.5000000000000000e+00 0 -1 517
-            8.5000000000000000e+00 -2 -3 518 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.1653260588645935e-01 4.4715183973312378e-01
-            4.3168023228645325e-02 -5.1480299234390259e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0061200141906738e+01</treeThreshold>
-          <internalNodes>
-            1 2 519 1.6500000000000000e+01 0 -1 520
-            1.2500000000000000e+01 -2 -3 521 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5633049011230469e-01 -7.6656705141067505e-01
-            -7.0554155111312866e-01 1.6379806399345398e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0377194404602051e+01</treeThreshold>
-          <internalNodes>
-            1 2 522 5.0000000000000000e-01 0 -1 523
-            2.2500000000000000e+01 -2 -3 524 1.0350000000000000e+02</internalNodes>
-          <leafValues>
-            3.4760028123855591e-01 -4.5027711987495422e-01
-            -4.2173016071319580e-01 2.3955082893371582e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0154600143432617e+01</treeThreshold>
-          <internalNodes>
-            1 2 525 5.0000000000000000e-01 0 -1 526
-            1.0500000000000000e+01 -2 -3 527 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5142862200737000e-01 5.3901028633117676e-01
-            -2.5419974327087402e-01 4.5304277539253235e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0031300544738770e+01</treeThreshold>
-          <internalNodes>
-            1 2 528 8.4250000000000000e+02 0 -1 529
-            3.5000000000000000e+00 -2 -3 530 1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -7.8200048208236694e-01 1. 3.5411849617958069e-01
-            -1.2329959124326706e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0340743064880371e+01</treeThreshold>
-          <internalNodes>
-            1 2 531 8.9500000000000000e+01 0 -1 532
-            4.4500000000000000e+01 -2 -3 533 1.0935000000000000e+03</internalNodes>
-          <leafValues>
-            -2.5243437290191650e-01 3.0944204330444336e-01
-            -7.0828437805175781e-01 4.1531533002853394e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0338248252868652e+01</treeThreshold>
-          <internalNodes>
-            1 2 534 5.8500000000000000e+01 0 -1 535 271. -2 -3 536
-            1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2865273356437683e-02 5.8908087015151978e-01
-            -8.2634025812149048e-01 -2.4943957105278969e-03</leafValues></_>
-        <_>
-          <treeThreshold>1.0308409690856934e+01</treeThreshold>
-          <internalNodes>
-            1 2 537 1.6500000000000000e+01 0 -1 538
-            1.3550000000000000e+02 -2 -3 539 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.6291391849517822e-01 -2.9839292168617249e-02
-            -8.4737575054168701e-01 4.0216624736785889e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0141160964965820e+01</treeThreshold>
-          <internalNodes>
-            1 2 540 3.8850000000000000e+02 0 -1 541 1880. -2 -3 542
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.4690855741500854e-01 9.7327619791030884e-01
-            3.9478069543838501e-01 -1.6724799573421478e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0552933692932129e+01</treeThreshold>
-          <internalNodes>
-            1 2 543 9.7500000000000000e+01 0 -1 544
-            2.5675000000000000e+03 -2 -3 545 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1177234053611755e-01 -7.8731620311737061e-01
-            1.4354823529720306e-01 -4.3162122368812561e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0565854072570801e+01</treeThreshold>
-          <internalNodes>
-            1 2 546 6.9500000000000000e+01 0 -1 547
-            5.0000000000000000e-01 -2 -3 548 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1238955706357956e-01 -5.5135101079940796e-01
-            8.3063828945159912e-01 1.2920306064188480e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0695440292358398e+01</treeThreshold>
-          <internalNodes>
-            1 2 549 5.0000000000000000e-01 0 -1 550
-            5.0000000000000000e-01 -2 -3 551 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -9.2097282409667969e-01 1.2958645820617676e-01
-            -7.5983488559722900e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1004468917846680e+01</treeThreshold>
-          <internalNodes>
-            1 2 552 6.5000000000000000e+00 0 -1 553
-            4.5000000000000000e+00 -2 -3 554 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3393048048019409e-01 2.6314625144004822e-01
-            -4.1532078385353088e-01 3.2797959446907043e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0936705589294434e+01</treeThreshold>
-          <internalNodes>
-            1 2 555 3.8500000000000000e+01 0 -1 556
-            1.2500000000000000e+01 -2 -3 557 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5491145849227905e-01 -5.2296054363250732e-01
-            -2.6422262191772461e-01 4.4152420759201050e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1200079917907715e+01</treeThreshold>
-          <internalNodes>
-            1 2 558 5.5000000000000000e+00 0 -1 559
-            1.4350000000000000e+02 -2 -3 560 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.6337426900863647e-01 -6.2398618459701538e-01
-            -5.7904040813446045e-01 1.5722821652889252e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1503147125244141e+01</treeThreshold>
-          <internalNodes>
-            1 2 561 2.2500000000000000e+01 0 -1 562
-            3.5000000000000000e+00 -2 -3 563 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0208129286766052e-01 -5.8677726984024048e-01
-            3.0306696891784668e-01 -2.8123357892036438e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1434396743774414e+01</treeThreshold>
-          <internalNodes>
-            1 2 564 1.9450000000000000e+02 0 -1 565
-            2.7750000000000000e+02 -2 -3 566 3.9550000000000000e+02</internalNodes>
-          <leafValues>
-            1.2142877280712128e-01 -7.8573030233383179e-01
-            4.3764689564704895e-01 -7.5577810406684875e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1271259307861328e+01</treeThreshold>
-          <internalNodes>
-            1 2 567 3.5000000000000000e+00 0 -1 568
-            2.6500000000000000e+01 -2 -3 569 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7033354640007019e-01 9.5837578177452087e-02
-            -6.4152359962463379e-01 3.8179275393486023e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1176634788513184e+01</treeThreshold>
-          <internalNodes>
-            1 2 570 1.5000000000000000e+00 0 -1 571
-            5.5000000000000000e+00 -2 -3 572 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7000327706336975e-01 4.9639451503753662e-01
-            4.9409845471382141e-01 -3.3572679758071899e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1203256607055664e+01</treeThreshold>
-          <internalNodes>
-            1 2 573 3.5000000000000000e+00 0 -1 574
-            1.1500000000000000e+01 -2 -3 575 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0945442914962769e-01 3.5184708237648010e-01
-            2.9157343506813049e-01 -4.5857024192810059e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1486757278442383e+01</treeThreshold>
-          <internalNodes>
-            1 2 576 5.0000000000000000e-01 0 -1 577
-            1.5000000000000000e+00 -2 -3 578 4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5967599749565125e-01 3.4802013635635376e-01
-            -5.7343167066574097e-01 1.8548563122749329e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1719410896301270e+01</treeThreshold>
-          <internalNodes>
-            1 2 579 2.0750000000000000e+02 0 -1 580
-            4.5000000000000000e+00 -2 -3 581 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.9454728960990906e-01 2.3265397548675537e-01 1.
-            -9.6974384784698486e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1762585639953613e+01</treeThreshold>
-          <internalNodes>
-            1 2 582 1.1050000000000000e+02 0 -1 583
-            1.6500000000000000e+01 -2 -3 584 407.</internalNodes>
-          <leafValues>
-            1.6962698101997375e-01 -5.3280961513519287e-01
-            -8.0282974243164062e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.1756085395812988e+01</treeThreshold>
-          <internalNodes>
-            1 2 585 1.6500000000000000e+01 0 -1 586
-            5.0000000000000000e-01 -2 -3 587 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7568620443344116e-01 -3.1695076823234558e-01
-            6.0045284032821655e-01 -2.3904968798160553e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1916310310363770e+01</treeThreshold>
-          <internalNodes>
-            1 2 588 5.0000000000000000e-01 0 -1 589
-            5.0000000000000000e-01 -2 -3 590 8.6550000000000000e+02</internalNodes>
-          <leafValues>
-            -8.1488132476806641e-01 4.9408018589019775e-01
-            -4.1927781701087952e-01 8.3734117448329926e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.2203942298889160e+01</treeThreshold>
-          <internalNodes>
-            1 2 591 5.7050000000000000e+02 0 -1 592
-            1.5500000000000000e+01 -2 -3 593 2.0750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.8771522045135498e-01 4.7265237569808960e-01
-            -6.2495791912078857e-01 1.0464360564947128e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2065786361694336e+01</treeThreshold>
-          <internalNodes>
-            1 2 594 1.5000000000000000e+00 0 -1 595
-            3.5000000000000000e+00 -2 -3 596 2.4550000000000000e+02</internalNodes>
-          <leafValues>
-            -1.8811276555061340e-01 5.1335942745208740e-01
-            -6.0490119457244873e-01 1.5422473661601543e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.2367770195007324e+01</treeThreshold>
-          <internalNodes>
-            1 2 597 5.0000000000000000e-01 0 -1 598
-            1.6500000000000000e+01 -2 -3 599 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0198401212692261e-01 -5.7692825794219971e-01
-            -5.6324899196624756e-01 1.9613705575466156e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2323034286499023e+01</treeThreshold>
-          <internalNodes>
-            1 2 600 1.2500000000000000e+01 0 -1 601
-            7.5500000000000000e+01 -2 -3 602 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2731822133064270e-01 3.5927465558052063e-01
-            2.3451724648475647e-01 -5.0880599021911621e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2484741210937500e+01</treeThreshold>
-          <internalNodes>
-            1 2 603 1.5000000000000000e+00 0 -1 604
-            1.5000000000000000e+00 -2 -3 605 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.7245341837406158e-01 5.7961738109588623e-01
-            -2.6586967706680298e-01 7.2448682785034180e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2606169700622559e+01</treeThreshold>
-          <internalNodes>
-            1 2 606 2.5000000000000000e+00 0 -1 607
-            4.5000000000000000e+00 -2 -3 608 230.</internalNodes>
-          <leafValues>
-            6.7421162128448486e-01 -9.0937048196792603e-01
-            1.2142854928970337e-01 -8.2504957914352417e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2318552970886230e+01</treeThreshold>
-          <internalNodes>
-            1 2 609 5.0000000000000000e-01 0 -1 610
-            7.5000000000000000e+00 -2 -3 611 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.4998068809509277e-01 3.6234694719314575e-01
-            -2.8761732578277588e-01 5.9134435653686523e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2598359107971191e+01</treeThreshold>
-          <internalNodes>
-            1 2 612 5.3500000000000000e+01 0 -1 613
-            5.5000000000000000e+00 -2 -3 614 10.</internalNodes>
-          <leafValues>
-            2.7980631589889526e-01 -1.5065264701843262e-01
-            -9.5785999298095703e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.2746797561645508e+01</treeThreshold>
-          <internalNodes>
-            1 2 615 9.3500000000000000e+01 0 -1 616
-            6.5000000000000000e+00 -2 -3 617 8.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4821511507034302e-01 -3.9083152078092098e-03
-            6.2614870071411133e-01 -9.2817217111587524e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2947604179382324e+01</treeThreshold>
-          <internalNodes>
-            1 2 618 2.7500000000000000e+01 0 -1 619
-            2.5000000000000000e+00 -2 -3 620 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.7048752680420876e-03 -6.5272891521453857e-01
-            4.5032474398612976e-01 -3.6547464132308960e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2882634162902832e+01</treeThreshold>
-          <internalNodes>
-            1 2 621 3.1050000000000000e+02 0 -1 622
-            5.6365000000000000e+03 -2 -3 623 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4969561994075775e-02 5.9627079963684082e-01
-            -7.0807337760925293e-01 3.0144539475440979e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2801805496215820e+01</treeThreshold>
-          <internalNodes>
-            1 2 624 5.0000000000000000e-01 0 -1 625
-            3.5000000000000000e+00 -2 -3 626 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 4.1704678535461426e-01 -3.7044116854667664e-01
-            1.8138089776039124e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2661149978637695e+01</treeThreshold>
-          <internalNodes>
-            1 2 627 2.0500000000000000e+01 0 -1 628 2163. -2 -3 629
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1. 3.0944949388504028e-01 -1.4065495133399963e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2931542396545410e+01</treeThreshold>
-          <internalNodes>
-            1 2 630 1.0500000000000000e+01 0 -1 631
-            3.2050000000000000e+02 -2 -3 632 5.5350000000000000e+02</internalNodes>
-          <leafValues>
-            2.4613921344280243e-01 -6.1480534076690674e-01
-            5.8146727085113525e-01 -4.4777959585189819e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.2777011871337891e+01</treeThreshold>
-          <internalNodes>
-            1 2 633 664. 0 -1 634 5.0000000000000000e-01 -2 -3 635 950.</internalNodes>
-          <leafValues>
-            4.0263316035270691e-01 -2.1390040218830109e-01
-            9.3719965219497681e-01 -9.1512298583984375e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3000047683715820e+01</treeThreshold>
-          <internalNodes>
-            1 2 636 1.0500000000000000e+01 0 -1 637
-            9.5000000000000000e+00 -2 -3 638 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2459001541137695e-01 9.3095004558563232e-01
-            -6.2548005580902100e-01 2.2303572297096252e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3017802238464355e+01</treeThreshold>
-          <internalNodes>
-            1 2 639 1455. 0 -1 640 5.5000000000000000e+00 -2 -3 641
-            4.2450000000000000e+02</internalNodes>
-          <leafValues>
-            2.8526142239570618e-01 -2.3395025730133057e-01
-            -8.9111810922622681e-01 3.2246455550193787e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2907553672790527e+01</treeThreshold>
-          <internalNodes>
-            1 2 642 8.5000000000000000e+00 0 -1 643 152. -2 -3 644
-            4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8225684762001038e-01 -4.7394508123397827e-01
-            6.2302941083908081e-01 -1.1024855077266693e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3336275100708008e+01</treeThreshold>
-          <internalNodes>
-            1 2 645 2.0650000000000000e+02 0 -1 646
-            2.2745000000000000e+03 -2 -3 647 1.0150000000000000e+02</internalNodes>
-          <leafValues>
-            4.1937950998544693e-02 -6.0223990678787231e-01
-            7.0876753330230713e-01 -2.9814215376973152e-03</leafValues></_>
-        <_>
-          <treeThreshold>1.3240208625793457e+01</treeThreshold>
-          <internalNodes>
-            1 2 648 1.8500000000000000e+01 0 -1 649
-            1.5000000000000000e+00 -2 -3 650 2.3150000000000000e+02</internalNodes>
-          <leafValues>
-            1.9967538118362427e-01 -3.7611329555511475e-01
-            -4.9610561132431030e-01 5.5267935991287231e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3167437553405762e+01</treeThreshold>
-          <internalNodes>
-            1 2 651 5.5000000000000000e+00 0 -1 652
-            1.5500000000000000e+01 -2 -3 653 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7185417413711548e-01 8.0087751150131226e-01
-            4.4464635848999023e-01 -7.2770901024341583e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.3142944335937500e+01</treeThreshold>
-          <internalNodes>
-            1 2 654 2.5500000000000000e+01 0 -1 655
-            5.5000000000000000e+00 -2 -3 656 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4492548778653145e-02 5.5536437034606934e-01
-            -7.0375752449035645e-01 5.0477677583694458e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3294385910034180e+01</treeThreshold>
-          <internalNodes>
-            1 2 657 2.7500000000000000e+01 0 -1 658
-            3.5000000000000000e+00 -2 -3 659 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.2528835795819759e-02 -6.7173910140991211e-01
-            4.1883945465087891e-01 -2.8822129964828491e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3392246246337891e+01</treeThreshold>
-          <internalNodes>
-            1 2 660 7.5000000000000000e+00 0 -1 661
-            2.9500000000000000e+01 -2 -3 662 1.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.8992421030998230e-02 5.4969501495361328e-01
-            -4.4151812791824341e-01 7.0458197593688965e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3876214027404785e+01</treeThreshold>
-          <internalNodes>
-            1 2 663 3.5000000000000000e+00 0 -1 664
-            3.1500000000000000e+01 -2 -3 665 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.4815301597118378e-01 6.1503392457962036e-01
-            1.1428022384643555e-01 -4.7265532612800598e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3927340507507324e+01</treeThreshold>
-          <internalNodes>
-            1 2 666 6.5000000000000000e+00 0 -1 667
-            5.0000000000000000e-01 -2 -3 668 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6489420831203461e-01 -4.1367548704147339e-01
-            -1.9916613399982452e-01 4.9179160594940186e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4009963035583496e+01</treeThreshold>
-          <internalNodes>
-            1 2 669 1.5500000000000000e+01 0 -1 670
-            6.4500000000000000e+01 -2 -3 671 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2740452885627747e-01 2.9090219736099243e-01
-            -3.3407993614673615e-02 -7.3748952150344849e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4062114715576172e+01</treeThreshold>
-          <internalNodes>
-            1 2 672 2.9050000000000000e+02 0 -1 673
-            2.9150000000000000e+02 -2 -3 674 9.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7245197296142578e-01 5.7694870233535767e-01
-            3.9129734039306641e-01 -1.7993095517158508e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4075572967529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 675 5.5000000000000000e+00 0 -1 676
-            9.5000000000000000e+00 -2 -3 677 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3239459991455078e-01 1. 3.1441810727119446e-01
-            -1.7989411950111389e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4398697853088379e+01</treeThreshold>
-          <internalNodes>
-            1 2 678 1.7500000000000000e+01 0 -1 679
-            5.0000000000000000e-01 -2 -3 680 214.</internalNodes>
-          <leafValues>
-            1.8806569278240204e-01 -3.9947587251663208e-01
-            3.2312503457069397e-01 -8.5158264636993408e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4362066268920898e+01</treeThreshold>
-          <internalNodes>
-            1 2 681 3.3500000000000000e+01 0 -1 682
-            8.5000000000000000e+00 -2 -3 683 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6632146686315536e-02 6.7517954111099243e-01
-            8.0255568027496338e-01 -9.3577671051025391e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4355202674865723e+01</treeThreshold>
-          <internalNodes>
-            1 2 684 1.5000000000000000e+00 0 -1 685 19. -2 -3 686
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.4508359432220459e-01 9.0682888031005859e-01
-            1.6501218080520630e-01 -3.7748157978057861e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4331367492675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 687 3.5500000000000000e+01 0 -1 688
-            1.1500000000000000e+01 -2 -3 689 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0846425592899323e-01 -3.6513739824295044e-01
-            -8.1047779321670532e-01 7.0118898153305054e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4596327781677246e+01</treeThreshold>
-          <internalNodes>
-            1 2 690 2.5000000000000000e+00 0 -1 691 498. -2 -3 692
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.1571146249771118e-01 -3.8378649950027466e-01
-            -6.2768781185150146e-01 2.6496013998985291e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4494135856628418e+01</treeThreshold>
-          <internalNodes>
-            1 2 693 5.0000000000000000e-01 0 -1 694
-            6.5000000000000000e+00 -2 -3 695 1.1435000000000000e+03</internalNodes>
-          <leafValues>
-            -9.6758538484573364e-01 4.7280657291412354e-01
-            1.4870892465114594e-01 -4.1227847337722778e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4703800201416016e+01</treeThreshold>
-          <internalNodes>
-            1 2 696 8.3350000000000000e+02 0 -1 697
-            3.8950000000000000e+02 -2 -3 698 5.6150000000000000e+02</internalNodes>
-          <leafValues>
-            -1.4533622562885284e-01 -9.0440070629119873e-01
-            5.5248886346817017e-01 -4.1236154735088348e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.4449706077575684e+01</treeThreshold>
-          <internalNodes>
-            1 2 699 1.0150000000000000e+02 0 -1 700
-            1.4500000000000000e+01 -2 -3 701 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.7996582686901093e-02 -5.9691846370697021e-01
-            6.3458359241485596e-01 -3.5994444042444229e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.4542603492736816e+01</treeThreshold>
-          <internalNodes>
-            1 2 702 3.5000000000000000e+00 0 -1 703
-            7.5000000000000000e+00 -2 -3 704 8.4050000000000000e+02</internalNodes>
-          <leafValues>
-            9.2897661030292511e-02 -4.6599259972572327e-01
-            8.1781423091888428e-01 5.6449621915817261e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.4853701591491699e+01</treeThreshold>
-          <internalNodes>
-            1 2 705 1.5000000000000000e+00 0 -1 706
-            3.5000000000000000e+00 -2 -3 707 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.0090640783309937e-01 3.2296618819236755e-01
-            6.1400991678237915e-01 1.9703503698110580e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5123150825500488e+01</treeThreshold>
-          <internalNodes>
-            1 2 708 1.8500000000000000e+01 0 -1 709
-            4.5000000000000000e+00 -2 -3 710 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.9176853895187378e-01 2.8722837567329407e-01
-            -9.3597269058227539e-01 2.6944926381111145e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5157720565795898e+01</treeThreshold>
-          <internalNodes>
-            1 2 711 5.0000000000000000e-01 0 -1 712
-            6.5000000000000000e+00 -2 -3 713 2.6650000000000000e+02</internalNodes>
-          <leafValues>
-            3.4569710493087769e-02 6.7243850231170654e-01
-            4.1661575436592102e-01 -3.9990743994712830e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5411670684814453e+01</treeThreshold>
-          <internalNodes>
-            1 2 714 1.3950000000000000e+02 0 -1 715
-            3.5000000000000000e+00 -2 -3 716 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.3311543464660645e-01 2.9278513789176941e-01
-            4.7947874665260315e-01 -9.8023939132690430e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5354397773742676e+01</treeThreshold>
-          <internalNodes>
-            1 2 717 1.9250000000000000e+02 0 -1 718
-            5.0000000000000000e-01 -2 -3 719 26.</internalNodes>
-          <leafValues>
-            4.0997236967086792e-01 -9.6107937395572662e-02
-            -9.3151968717575073e-01 9.1284751892089844e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4952895164489746e+01</treeThreshold>
-          <internalNodes>
-            1 2 720 2.7500000000000000e+01 0 -1 721 297. -2 -3 722
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.4114556312561035e-01 -7.0818752050399780e-01
-            2.7803361415863037e-01 -2.0704185962677002e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5107488632202148e+01</treeThreshold>
-          <internalNodes>
-            1 2 723 4.5000000000000000e+00 0 -1 724
-            9.2500000000000000e+01 -2 -3 725 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.5459318459033966e-01 -4.8220661282539368e-01
-            2.0991271734237671e-01 -8.7689870595932007e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5330876350402832e+01</treeThreshold>
-          <internalNodes>
-            1 2 726 3.5000000000000000e+00 0 -1 727
-            5.0000000000000000e-01 -2 -3 728 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.2667779624462128e-01 -6.8513137102127075e-01
-            -5.3112709522247314e-01 2.2338794171810150e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5734196662902832e+01</treeThreshold>
-          <internalNodes>
-            1 2 729 1.5000000000000000e+00 0 -1 730
-            2.5000000000000000e+00 -2 -3 731 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.1118248701095581e-01 -8.6829736828804016e-02
-            2.2527997195720673e-01 -4.4369015097618103e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5614619255065918e+01</treeThreshold>
-          <internalNodes>
-            1 2 732 5.9500000000000000e+01 0 -1 733
-            2.9500000000000000e+01 -2 -3 734 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0675737261772156e-01 -6.1698102951049805e-01
-            4.1313454508781433e-01 -1.1957697570323944e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5535240173339844e+01</treeThreshold>
-          <internalNodes>
-            1 2 735 5.5750000000000000e+02 0 -1 736
-            9.5450000000000000e+02 -2 -3 737 2.0645000000000000e+03</internalNodes>
-          <leafValues>
-            -3.4422600269317627e-01 5.9951692819595337e-01
-            -3.8727310299873352e-01 2.4057196080684662e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5538546562194824e+01</treeThreshold>
-          <internalNodes>
-            1 2 738 8.0150000000000000e+02 0 -1 739
-            2.6105000000000000e+03 -2 -3 740 3.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3982056379318237e-01 8.3161514997482300e-01
-            -8.0494666099548340e-01 3.3064079470932484e-03</leafValues></_>
-        <_>
-          <treeThreshold>1.5797479629516602e+01</treeThreshold>
-          <internalNodes>
-            1 2 741 1.8750000000000000e+02 0 -1 742 2430. -2 -3 743
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.2724601030349731e-01 6.6713446378707886e-01
-            2.8536656498908997e-01 -2.8820601105690002e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5900279045104980e+01</treeThreshold>
-          <internalNodes>
-            1 2 744 4.5000000000000000e+00 0 -1 745
-            2.5000000000000000e+00 -2 -3 746 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            7.4607717990875244e-01 -7.1024978160858154e-01
-            5.7188493013381958e-01 -4.2073842138051987e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5883950233459473e+01</treeThreshold>
-          <internalNodes>
-            1 2 747 4.0500000000000000e+01 0 -1 748
-            6.5000000000000000e+00 -2 -3 749 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.0276497155427933e-01 4.0130257606506348e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>1.4979964256286621e+01</treeThreshold>
-          <internalNodes>
-            1 2 750 1.9500000000000000e+01 0 -1 751
-            2.0500000000000000e+01 -2 -3 752 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.2145843505859375e-01 2.5802364945411682e-01
-            -9.0398544073104858e-01 4.8689022660255432e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5194631576538086e+01</treeThreshold>
-          <internalNodes>
-            1 2 753 1.5000000000000000e+00 0 -1 754
-            3.5000000000000000e+00 -2 -3 755 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1669741570949554e-01 4.9556133151054382e-01
-            3.7774667143821716e-02 -6.1486494541168213e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5027575492858887e+01</treeThreshold>
-          <internalNodes>
-            1 2 756 8.5000000000000000e+00 0 -1 757
-            8.5000000000000000e+00 -2 -3 758 1.3350000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2910213470458984e-01 3.1334644556045532e-01
-            2.7376729249954224e-01 -3.3538144826889038e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5194680213928223e+01</treeThreshold>
-          <internalNodes>
-            1 0 759 5027. 1 0 759 5027. -1 -2 760 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. -1. -3.6071130633354187e-01 1.6710422933101654e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5317331314086914e+01</treeThreshold>
-          <internalNodes>
-            1 2 761 8.5000000000000000e+00 0 -1 762
-            4.5000000000000000e+00 -2 -3 763 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6038890480995178e-01 4.8649555444717407e-01
-            1.2265116721391678e-01 -4.3468883633613586e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5516662597656250e+01</treeThreshold>
-          <internalNodes>
-            1 2 764 5.0000000000000000e-01 0 -1 765
-            2.6500000000000000e+01 -2 -3 766 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.6315697431564331e-01 5.6610745191574097e-01
-            5.4674094915390015e-01 -4.9838803708553314e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5334324836730957e+01</treeThreshold>
-          <internalNodes>
-            1 2 767 4.1500000000000000e+01 0 -1 768
-            5.3550000000000000e+02 -2 -3 769 1.0550000000000000e+02</internalNodes>
-          <leafValues>
-            6.0701811313629150e-01 -1.8233808875083923e-01
-            8.4639877080917358e-01 -3.3420971035957336e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5710937500000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 770 5.0000000000000000e-01 0 -1 771
-            5.0000000000000000e-01 -2 -3 772 193.</internalNodes>
-          <leafValues>
-            -3.8640668988227844e-01 4.8309257626533508e-01
-            -6.3383340835571289e-01 1.4250018633902073e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5832213401794434e+01</treeThreshold>
-          <internalNodes>
-            1 2 773 4.8500000000000000e+01 0 -1 774
-            1.5000000000000000e+00 -2 -3 775 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 4.6453514695167542e-01 -7.3939657211303711e-01
-            1.4796154573559761e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5806046485900879e+01</treeThreshold>
-          <internalNodes>
-            1 2 776 5.0000000000000000e-01 0 -1 777
-            6.5000000000000000e+00 -2 -3 778 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1508829891681671e-02 5.6221634149551392e-01
-            -7.8835546970367432e-01 -8.5773661732673645e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5770372390747070e+01</treeThreshold>
-          <internalNodes>
-            1 2 779 2.2500000000000000e+01 0 -1 780
-            1.9500000000000000e+01 -2 -3 781 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.6044223010540009e-02 5.2754670381546021e-01
-            5.3497844934463501e-01 -7.3842519521713257e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5359473228454590e+01</treeThreshold>
-          <internalNodes>
-            1 2 782 7.5000000000000000e+00 0 -1 783
-            5.0000000000000000e-01 -2 -3 784 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.4964470863342285e-01 -1.2483406811952591e-01
-            3.7034383416175842e-01 -4.1089901328086853e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5590619087219238e+01</treeThreshold>
-          <internalNodes>
-            1 2 785 4.3500000000000000e+01 0 -1 786
-            1.5000000000000000e+00 -2 -3 787 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0199559926986694e-01 -5.2104234695434570e-01
-            -8.3813130855560303e-01 2.3114581406116486e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5789629936218262e+01</treeThreshold>
-          <internalNodes>
-            1 2 788 1.6550000000000000e+02 0 -1 789
-            3.5000000000000000e+00 -2 -3 790 1.5550000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4781857430934906e-01 1.9901108741760254e-01
-            -9.7304773330688477e-01 7.0200401544570923e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5989371299743652e+01</treeThreshold>
-          <internalNodes>
-            1 2 791 2.0650000000000000e+02 0 -1 792
-            5.0000000000000000e-01 -2 -3 793 3110.</internalNodes>
-          <leafValues>
-            6.3552632927894592e-02 -5.3658276796340942e-01
-            6.2562465667724609e-01 -1.1984360218048096e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5632120132446289e+01</treeThreshold>
-          <internalNodes>
-            1 2 794 1.7500000000000000e+01 0 -1 795
-            3.6500000000000000e+01 -2 -3 796 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.1405869722366333e-01 1.5681014955043793e-01
-            -7.8313404321670532e-01 1.4654920995235443e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5941620826721191e+01</treeThreshold>
-          <internalNodes>
-            1 2 797 616. 0 -1 798 6.5000000000000000e+00 -2 -3 799
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7063086032867432e-01 8.5862129926681519e-01
-            -2.3666135966777802e-01 3.0949997901916504e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6084800720214844e+01</treeThreshold>
-          <internalNodes>
-            1 2 800 219. 0 -1 801 4.5000000000000000e+00 -2 -3 802
-            3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8690335750579834e-01 1.4317978918552399e-01
-            -8.9101696014404297e-01 7.9761099815368652e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5994973182678223e+01</treeThreshold>
-          <internalNodes>
-            1 2 803 2.5000000000000000e+00 0 -1 804
-            3.7550000000000000e+02 -2 -3 805 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            9.4166928529739380e-01 -7.3805016279220581e-01
-            5.3213769197463989e-01 -8.9826993644237518e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5662853240966797e+01</treeThreshold>
-          <internalNodes>
-            1 2 806 3.5000000000000000e+00 0 -1 807
-            6.5000000000000000e+00 -2 -3 808 468.</internalNodes>
-          <leafValues>
-            -2.2272130846977234e-01 3.8207814097404480e-01
-            -3.3211985230445862e-01 9.1164916753768921e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5838563919067383e+01</treeThreshold>
-          <internalNodes>
-            1 2 809 6.5000000000000000e+00 0 -1 810 646. -2 -3 811
-            7.3500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0928765535354614e-01 -1.2581250071525574e-01
-            -4.6567234396934509e-01 1.7571029067039490e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6171665191650391e+01</treeThreshold>
-          <internalNodes>
-            1 2 812 2.5000000000000000e+00 0 -1 813 24. -2 -3 814
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.1817497014999390e-01 8.6530512571334839e-01
-            3.3310186862945557e-01 -1.2780697643756866e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5851295471191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 815 3.9500000000000000e+01 0 -1 816
-            4.8500000000000000e+01 -2 -3 817 851.</internalNodes>
-          <leafValues>
-            -3.2037055492401123e-01 7.0678859949111938e-01
-            -1.3180524110794067e-01 4.8293638229370117e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6087598800659180e+01</treeThreshold>
-          <internalNodes>
-            1 2 818 8.8500000000000000e+01 0 -1 819
-            6.4450000000000000e+02 -2 -3 820 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5365521907806396e-01 2.3630441725254059e-01
-            7.0704340934753418e-01 -4.6923226118087769e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6363336563110352e+01</treeThreshold>
-          <internalNodes>
-            1 2 821 2.8150000000000000e+02 0 -1 822
-            2.7895000000000000e+03 -2 -3 823 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.4065095782279968e-01 7.5202518701553345e-01
-            -3.9883279800415039e-01 2.7573746442794800e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6588956832885742e+01</treeThreshold>
-          <internalNodes>
-            1 2 824 5.0000000000000000e-01 0 -1 825
-            1.1500000000000000e+01 -2 -3 826 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1318140029907227e-01 4.3003699183464050e-01
-            2.2561977803707123e-01 -3.0686858296394348e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6775182723999023e+01</treeThreshold>
-          <internalNodes>
-            1 2 827 4.1250000000000000e+02 0 -1 828
-            1.5000000000000000e+00 -2 -3 829 3.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6817734837532043e-01 2.1098636090755463e-01
-            8.0670994520187378e-01 -5.8135390281677246e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6856193542480469e+01</treeThreshold>
-          <internalNodes>
-            1 2 830 5.0000000000000000e-01 0 -1 831
-            1.2500000000000000e+01 -2 -3 832 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8672289848327637e-01 6.1958354711532593e-01
-            8.1012040376663208e-02 -4.5567196607589722e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7051292419433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 833 1.8500000000000000e+01 0 -1 834
-            1.2450000000000000e+02 -2 -3 835 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.2621921747922897e-02 -7.6019698381423950e-01
-            -5.0678414106369019e-01 1.9509740173816681e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6998657226562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 836 8.5000000000000000e+00 0 -1 837
-            4.5000000000000000e+00 -2 -3 838 1.5050000000000000e+02</internalNodes>
-          <leafValues>
-            6.6981112957000732e-01 -7.7394820749759674e-02
-            -5.9851008653640747e-01 -2.3549804463982582e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7141326904296875e+01</treeThreshold>
-          <internalNodes>
-            1 2 839 5.5000000000000000e+00 0 -1 840
-            2.6500000000000000e+01 -2 -3 841 1737.</internalNodes>
-          <leafValues>
-            -4.8677769303321838e-01 3.9110738039016724e-01
-            2.7351859211921692e-01 -5.6498247385025024e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7101375579833984e+01</treeThreshold>
-          <internalNodes>
-            1 2 842 1.0150000000000000e+02 0 -1 843
-            5.0000000000000000e-01 -2 -3 844 899.</internalNodes>
-          <leafValues>
-            3.0308917164802551e-01 -4.4189167022705078e-01
-            9.3633669614791870e-01 8.8033325970172882e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7200811386108398e+01</treeThreshold>
-          <internalNodes>
-            1 2 845 5.0000000000000000e-01 0 -1 846 42. -2 -3 847
-            2.1350000000000000e+02</internalNodes>
-          <leafValues>
-            2.7510833740234375e-01 -7.5726032257080078e-01
-            -4.3352231383323669e-01 2.1154280006885529e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7079784393310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 848 5.5000000000000000e+00 0 -1 849 20. -2 -3 850
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.7573763132095337e-01 2.8162035346031189e-01
-            3.6659198999404907e-01 -1.2102800607681274e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7073648452758789e+01</treeThreshold>
-          <internalNodes>
-            1 2 851 1.1500000000000000e+01 0 -1 852 17. -2 -3 853
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6597007513046265e-01 7.9339522123336792e-01
-            -6.1342595145106316e-03 8.5101735591888428e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7690402984619141e+01</treeThreshold>
-          <internalNodes>
-            1 2 854 4.5000000000000000e+00 0 -1 855
-            2.2500000000000000e+01 -2 -3 856 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.3958141207695007e-02 6.5386813879013062e-01
-            -1.2044989317655563e-01 -9.2647463083267212e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7552139282226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 857 6.7250000000000000e+02 0 -1 858 255. -2 -3 859
-            8.1500000000000000e+01</internalNodes>
-          <leafValues>
-            7.4523144960403442e-01 -7.1219885349273682e-01
-            1.7446618527173996e-02 -6.2030416727066040e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7826660156250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 860 2.6500000000000000e+01 0 -1 861
-            5.0000000000000000e-01 -2 -3 862 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.6728147268295288e-01 -4.4572594761848450e-01
-            -7.3989224433898926e-01 2.7452003955841064e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7716260910034180e+01</treeThreshold>
-          <internalNodes>
-            1 2 863 2.9050000000000000e+02 0 -1 864
-            4.3500000000000000e+01 -2 -3 865 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.7486357688903809e-01 5.5104964971542358e-01
-            3.6211666464805603e-01 -1.1039795726537704e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7527446746826172e+01</treeThreshold>
-          <internalNodes>
-            1 2 866 8.5000000000000000e+00 0 -1 867
-            1.1500000000000000e+01 -2 -3 868 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.3785366415977478e-01 1.7071330547332764e-01
-            4.2691925168037415e-01 -3.4452387690544128e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7498483657836914e+01</treeThreshold>
-          <internalNodes>
-            1 2 869 1.3850000000000000e+02 0 -1 870
-            4.6500000000000000e+01 -2 -3 871 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4523417949676514e-01 -4.4731280207633972e-01
-            -8.1189721822738647e-01 -2.8963508084416389e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7594804763793945e+01</treeThreshold>
-          <internalNodes>
-            1 2 872 9.5000000000000000e+00 0 -1 873
-            4.5000000000000000e+00 -2 -3 874 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.5354215875267982e-02 -6.9031453132629395e-01
-            6.6937547922134399e-01 -1.8369350582361221e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7741346359252930e+01</treeThreshold>
-          <internalNodes>
-            1 2 875 5.3500000000000000e+01 0 -1 876
-            2.5000000000000000e+00 -2 -3 877 7.</internalNodes>
-          <leafValues>
-            -7.9686230421066284e-01 1.4654204249382019e-01
-            6.7961549758911133e-01 -8.0987089872360229e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7493940353393555e+01</treeThreshold>
-          <internalNodes>
-            1 2 878 1.5000000000000000e+00 0 -1 879
-            4.5000000000000000e+00 -2 -3 880 2.7850000000000000e+02</internalNodes>
-          <leafValues>
-            -4.4610077142715454e-01 6.3808631896972656e-01
-            2.9086035490036011e-01 -3.3009988069534302e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7796676635742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 881 3.5000000000000000e+00 0 -1 882
-            1.4500000000000000e+01 -2 -3 883 9.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -3.7948560714721680e-01 3.0273652076721191e-01
-            -2.0024552941322327e-01 4.5401337742805481e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7816259384155273e+01</treeThreshold>
-          <internalNodes>
-            1 2 884 5.0000000000000000e-01 0 -1 885
-            2.5000000000000000e+00 -2 -3 886 2.0450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.4229112863540649e-01 3.8051229715347290e-01
-            1.9582625478506088e-02 -6.1875140666961670e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8269836425781250e+01</treeThreshold>
-          <internalNodes>
-            1 2 887 2.0650000000000000e+02 0 -1 888
-            3.2500000000000000e+01 -2 -3 889 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3007892370223999e-02 -8.1624692678451538e-01
-            -3.7598320841789246e-01 4.5357686281204224e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8564132690429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 890 5.0000000000000000e-01 0 -1 891
-            5.0000000000000000e-01 -2 -3 892 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.9174187779426575e-01 6.4155840873718262e-01
-            2.9429650306701660e-01 -2.9134511947631836e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8538108825683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 893 4.5000000000000000e+00 0 -1 894
-            3.6500000000000000e+01 -2 -3 895 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.6023799553513527e-02 -7.2857677936553955e-01
-            -5.0230020284652710e-01 4.2321056127548218e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8706319808959961e+01</treeThreshold>
-          <internalNodes>
-            1 2 896 3.5000000000000000e+00 0 -1 897
-            1.3500000000000000e+01 -2 -3 898 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4947246313095093e-01 1.8297985196113586e-01
-            -6.2586158514022827e-01 1.6820982098579407e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8353506088256836e+01</treeThreshold>
-          <internalNodes>
-            1 2 899 5.0000000000000000e-01 0 -1 900
-            1.4500000000000000e+01 -2 -3 901 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8173475861549377e-01 3.7457469105720520e-01
-            -3.5281360149383545e-01 5.2393311262130737e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7990430831909180e+01</treeThreshold>
-          <internalNodes>
-            1 2 902 5.0000000000000000e-01 0 -1 903
-            7.6500000000000000e+01 -2 -3 904 2.1350000000000000e+02</internalNodes>
-          <leafValues>
-            3.9235761761665344e-01 -4.3086987733840942e-01
-            -3.6307579278945923e-01 2.6121103763580322e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7641067504882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 905 5.1950000000000000e+02 0 -1 906
-            7.6450000000000000e+02 -2 -3 907 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.7761904001235962e-01 9.2178511619567871e-01
-            1.1485935747623444e-01 -3.4936183691024780e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8007766723632812e+01</treeThreshold>
-          <internalNodes>
-            1 2 908 8.5000000000000000e+00 0 -1 909
-            6.5000000000000000e+00 -2 -3 910 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            4.2121639847755432e-01 -7.9783517122268677e-01
-            3.6669909954071045e-01 -8.5580341517925262e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7631553649902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 911 1.0500000000000000e+01 0 -1 912
-            5.0000000000000000e-01 -2 -3 913 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6670908927917480e-01 -3.7621408700942993e-01
-            -6.2516123056411743e-01 4.7545883059501648e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7849103927612305e+01</treeThreshold>
-          <internalNodes>
-            1 2 914 2.1500000000000000e+01 0 -1 915
-            1.9450000000000000e+02 -2 -3 916 6.1715000000000000e+03</internalNodes>
-          <leafValues>
-            -3.8722166419029236e-01 2.1755173802375793e-01
-            -8.4401416778564453e-01 1.5962296724319458e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8148504257202148e+01</treeThreshold>
-          <internalNodes>
-            1 2 917 2.9950000000000000e+02 0 -1 918
-            1.1977500000000000e+04 -2 -3 919 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.7477404475212097e-01 -7.4366313219070435e-01
-            2.9939907789230347e-01 -4.3714806437492371e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8520885467529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 920 6.4500000000000000e+01 0 -1 921
-            5.0000000000000000e-01 -2 -3 922 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9857753813266754e-02 -4.7508594393730164e-01
-            3.7238201498985291e-01 -7.4164247512817383e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8834211349487305e+01</treeThreshold>
-          <internalNodes>
-            1 2 923 8.6500000000000000e+01 0 -1 924
-            8.9500000000000000e+01 -2 -3 925 1.7445000000000000e+03</internalNodes>
-          <leafValues>
-            -8.0918049812316895e-01 1. -1.6057571768760681e-01
-            3.1332454085350037e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8351465225219727e+01</treeThreshold>
-          <internalNodes>
-            1 2 926 5.8350000000000000e+02 0 -1 927
-            7.5000000000000000e+00 -2 -3 928 481.</internalNodes>
-          <leafValues>
-            4.6060821413993835e-01 -6.7813009023666382e-02
-            -4.8274511098861694e-01 6.9861322641372681e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8501985549926758e+01</treeThreshold>
-          <internalNodes>
-            1 2 929 1.5000000000000000e+00 0 -1 930
-            2.5000000000000000e+00 -2 -3 931 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.9331996440887451e-01 4.0598359704017639e-01
-            -4.1995242238044739e-01 1.5051996707916260e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8696071624755859e+01</treeThreshold>
-          <internalNodes>
-            1 2 932 2.3050000000000000e+02 0 -1 933
-            3.5000000000000000e+00 -2 -3 934 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.3542561531066895e-01 1.9408614933490753e-01 1.
-            -9.5072054862976074e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8607995986938477e+01</treeThreshold>
-          <internalNodes>
-            1 2 935 2.5000000000000000e+00 0 -1 936
-            1.5000000000000000e+00 -2 -3 937 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4928588867187500e-01 -2.4268487468361855e-02
-            -8.3902990818023682e-01 -8.8076196610927582e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.8578538894653320e+01</treeThreshold>
-          <internalNodes>
-            1 2 938 3549. 0 -1 939 3.2050000000000000e+02 -2 -3 940
-            6461.</internalNodes>
-          <leafValues>
-            -2.9456844553351402e-02 8.3224558830261230e-01 1.
-            -9.5387804508209229e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8958681106567383e+01</treeThreshold>
-          <internalNodes>
-            1 2 941 7.5000000000000000e+00 0 -1 942
-            3.1550000000000000e+02 -2 -3 943 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5887119770050049e-01 7.0706927776336670e-01
-            3.8014331459999084e-01 -1.1943070590496063e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8760652542114258e+01</treeThreshold>
-          <internalNodes>
-            1 2 944 3.3500000000000000e+01 0 -1 945
-            5.5000000000000000e+00 -2 -3 946 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5789099931716919e-01 7.9995310306549072e-01
-            2.9564496874809265e-01 -1.9802929461002350e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8639022827148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 947 5.0000000000000000e-01 0 -1 948
-            5.5500000000000000e+01 -2 -3 949 2.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -8.5202199220657349e-01 6.9410562515258789e-01
-            3.6203834414482117e-01 -1.2163019925355911e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8766536712646484e+01</treeThreshold>
-          <internalNodes>
-            1 2 950 3.5000000000000000e+00 0 -1 951
-            1.5000000000000000e+00 -2 -3 952 42.</internalNodes>
-          <leafValues>
-            -9.3982005119323730e-01 1.2751524150371552e-01
-            6.3139563798904419e-01 -7.6969057321548462e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9183019638061523e+01</treeThreshold>
-          <internalNodes>
-            1 2 953 5.0000000000000000e-01 0 -1 954
-            5.1500000000000000e+01 -2 -3 955 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1648134589195251e-01 -8.8983547687530518e-01
-            9.5907759666442871e-01 -2.4271501600742340e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9610746383666992e+01</treeThreshold>
-          <internalNodes>
-            1 2 956 2.0450000000000000e+02 0 -1 957
-            9.5000000000000000e+00 -2 -3 958 4.2850000000000000e+02</internalNodes>
-          <leafValues>
-            1.3211338222026825e-01 -4.8846188187599182e-01
-            4.2772728204727173e-01 -6.5411061048507690e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9917108535766602e+01</treeThreshold>
-          <internalNodes>
-            1 2 959 3.9500000000000000e+01 0 -1 960
-            3.4150000000000000e+02 -2 -3 961 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.6529877483844757e-01 -9.6143603324890137e-01
-            -2.8269404172897339e-01 3.0636185407638550e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9404857635498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 962 1.5000000000000000e+00 0 -1 963
-            5.0000000000000000e-01 -2 -3 964 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.8518258929252625e-01 -1.9976606965065002e-01
-            3.1995189189910889e-01 -5.1225066184997559e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0154628753662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 965 2.2500000000000000e+01 0 -1 966
-            1.5000000000000000e+00 -2 -3 967 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.7032272815704346e-01 -3.5649308562278748e-01
-            7.4977207183837891e-01 5.0952531397342682e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.0107938766479492e+01</treeThreshold>
-          <internalNodes>
-            1 2 968 1.1500000000000000e+01 0 -1 969
-            9.5000000000000000e+00 -2 -3 970 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.9147239923477173e-01 7.6516920328140259e-01
-            4.5234966278076172e-01 -4.6691324561834335e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.0402862548828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 971 8.5000000000000000e+00 0 -1 972
-            5.5000000000000000e+00 -2 -3 973 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7490122914314270e-01 2.9843258857727051e-01
-            -4.5378142595291138e-01 2.9492387175559998e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0257144927978516e+01</treeThreshold>
-          <internalNodes>
-            1 2 974 1.5500000000000000e+01 0 -1 975
-            5.0000000000000000e-01 -2 -3 976 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1388428807258606e-01 -1.4571745693683624e-01
-            -7.5251871347427368e-01 6.9722115993499756e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0529319763183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 977 1.5000000000000000e+00 0 -1 978
-            1.5000000000000000e+00 -2 -3 979 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2027046680450439e-01 2.7217444777488708e-01
-            4.6654894948005676e-01 -4.6129345893859863e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0874372482299805e+01</treeThreshold>
-          <internalNodes>
-            1 2 980 9.6500000000000000e+01 0 -1 981
-            1.9165000000000000e+03 -2 -3 982 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.2539170086383820e-01 6.6775095462799072e-01
-            -3.7017312645912170e-01 1.4091856777667999e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0993101119995117e+01</treeThreshold>
-          <internalNodes>
-            1 2 983 8.9500000000000000e+01 0 -1 984
-            2.2850000000000000e+02 -2 -3 985 811.</internalNodes>
-          <leafValues>
-            -9.4379550218582153e-01 1.1872769892215729e-01 1.
-            -9.5742899179458618e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0633829116821289e+01</treeThreshold>
-          <internalNodes>
-            1 2 986 4.5000000000000000e+00 0 -1 987
-            2.5000000000000000e+00 -2 -3 988 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2427527904510498e-01 2.3482735455036163e-01
-            4.5335689187049866e-01 -4.4699901342391968e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0826599121093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 989 4.9500000000000000e+01 0 -1 990
-            4.5000000000000000e+00 -2 -3 991 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9276854395866394e-01 -4.7601845860481262e-01
-            -2.1918711066246033e-01 4.9042212963104248e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1078292846679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 992 4.5000000000000000e+00 0 -1 993
-            5.5500000000000000e+01 -2 -3 994 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.6589986681938171e-01 -6.8663871288299561e-01
-            -4.7653216123580933e-01 3.5789057612419128e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0846752166748047e+01</treeThreshold>
-          <internalNodes>
-            1 2 995 2.5500000000000000e+01 0 -1 996
-            2.5000000000000000e+00 -2 -3 997 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.0679597854614258e-01 7.6525181531906128e-02
-            -4.4665309786796570e-01 7.5682783126831055e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1128168106079102e+01</treeThreshold>
-          <internalNodes>
-            1 2 998 1.9450000000000000e+02 0 -1 999
-            7.9250000000000000e+02 -2 -3 1000 1.9450000000000000e+02</internalNodes>
-          <leafValues>
-            4.8146584630012512e-01 -6.7968618869781494e-01
-            5.6917864084243774e-01 -4.0854610502719879e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1430679321289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1001 1.3250000000000000e+02 0 -1 1002
-            1.5000000000000000e+00 -2 -3 1003 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9865274429321289e-01 -3.9771077036857605e-01
-            -5.0634521245956421e-01 5.4503116756677628e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1460109710693359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1004 2.1150000000000000e+02 0 -1 1005 898. -2 -3 1006
-            95.</internalNodes>
-          <leafValues>
-            -3.4796665422618389e-03 -6.2917459011077881e-01
-            5.9274631738662720e-01 -7.7559250593185425e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1738679885864258e+01</treeThreshold>
-          <internalNodes>
-            1 2 1007 9.5000000000000000e+00 0 -1 1008
-            1.2500000000000000e+01 -2 -3 1009 2.8450000000000000e+02</internalNodes>
-          <leafValues>
-            2.7857103943824768e-01 -3.2522264122962952e-01
-            -7.0976269245147705e-01 -3.1888559460639954e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1714611053466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1010 2.0500000000000000e+01 0 -1 1011
-            1.7550000000000000e+02 -2 -3 1012 1.3950000000000000e+02</internalNodes>
-          <leafValues>
-            4.7277057170867920e-01 -7.4925351142883301e-01
-            4.6757832169532776e-01 -9.6052125096321106e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1671428680419922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1013 1.3015000000000000e+03 0 -1 1014
-            4.5000000000000000e+00 -2 -3 1015 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            7.6744452118873596e-02 -5.5534267425537109e-01
-            7.4648100137710571e-01 -4.3182671070098877e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1580698013305664e+01</treeThreshold>
-          <internalNodes>
-            1 2 1016 1.3500000000000000e+01 0 -1 1017
-            8.5000000000000000e+00 -2 -3 1018 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.0190782546997070e-01 1.9962008297443390e-01
-            4.6641969680786133e-01 -1.8569506704807281e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1765819549560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1019 8.2500000000000000e+01 0 -1 1020
-            4.5000000000000000e+00 -2 -3 1021 2.8050000000000000e+02</internalNodes>
-          <leafValues>
-            -4.4983270764350891e-01 1.8512135744094849e-01
-            4.3670821189880371e-01 -7.7668732404708862e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1940675735473633e+01</treeThreshold>
-          <internalNodes>
-            1 2 1022 5.0000000000000000e-01 0 -1 1023
-            3.5000000000000000e+00 -2 -3 1024 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2042754888534546e-01 4.7864294052124023e-01
-            -3.8229328393936157e-01 3.0125352740287781e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2267677307128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1025 8.5000000000000000e+00 0 -1 1026
-            2.8500000000000000e+01 -2 -3 1027 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4308344125747681e-01 3.2700043916702271e-01
-            2.8009243309497833e-02 -6.5551960468292236e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2207328796386719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1028 2.5000000000000000e+00 0 -1 1029
-            3.5000000000000000e+00 -2 -3 1030 1.1215000000000000e+03</internalNodes>
-          <leafValues>
-            5.3718221187591553e-01 -1.2088337540626526e-01
-            1.5861311554908752e-01 -3.9377096295356750e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2471664428710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1031 2.9050000000000000e+02 0 -1 1032
-            5.9450000000000000e+02 -2 -3 1033 4.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.4998543262481689e-01 7.1848845481872559e-01
-            2.6433640718460083e-01 -3.9302077889442444e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2527078628540039e+01</treeThreshold>
-          <internalNodes>
-            1 2 1034 7.5000000000000000e+00 0 -1 1035
-            2.5000000000000000e+00 -2 -3 1036 2.2605000000000000e+03</internalNodes>
-          <leafValues>
-            -9.3585616350173950e-01 -4.2096305638551712e-02
-            -7.0427574217319489e-02 4.3294385075569153e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2606931686401367e+01</treeThreshold>
-          <internalNodes>
-            1 2 1037 1.0500000000000000e+01 0 -1 1038
-            2.8750000000000000e+02 -2 -3 1039 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1093313246965408e-01 -3.9183530211448669e-01
-            6.3532203435897827e-01 -5.7091873884201050e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2367671966552734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1040 1.5500000000000000e+01 0 -1 1041
-            1.6500000000000000e+01 -2 -3 1042 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.6724117100238800e-01 4.4530591368675232e-01
-            -4.3550294637680054e-01 1.9026978313922882e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2205213546752930e+01</treeThreshold>
-          <internalNodes>
-            1 2 1043 5.0000000000000000e-01 0 -1 1044
-            1.1500000000000000e+01 -2 -3 1045 1.1905000000000000e+03</internalNodes>
-          <leafValues>
-            -4.4692027568817139e-01 3.8084071874618530e-01
-            -4.8567453026771545e-01 2.7033451199531555e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2693662643432617e+01</treeThreshold>
-          <internalNodes>
-            1 2 1046 6.5000000000000000e+00 0 -1 1047
-            1.5000000000000000e+00 -2 -3 1048 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8754628747701645e-02 -4.7193619608879089e-01
-            5.7730108499526978e-01 -3.6538568139076233e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2709083557128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1049 2.7795000000000000e+03 0 -1 1050
-            5.0000000000000000e-01 -2 -3 1051 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.2101531028747559e-01 1.1589990556240082e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.2808294296264648e+01</treeThreshold>
-          <internalNodes>
-            1 2 1052 5.3950000000000000e+02 0 -1 1053 500. -2 -3 1054
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5519909858703613e-01 6.6525626182556152e-01
-            9.6477895975112915e-02 -3.8266643881797791e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2709251403808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1055 2.8500000000000000e+01 0 -1 1056
-            9.5000000000000000e+00 -2 -3 1057 1.7850000000000000e+02</internalNodes>
-          <leafValues>
-            -3.0039480328559875e-01 2.3731714487075806e-01
-            5.5204099416732788e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.2883974075317383e+01</treeThreshold>
-          <internalNodes>
-            1 2 1058 1.5000000000000000e+00 0 -1 1059
-            4.7650000000000000e+02 -2 -3 1060 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1513065099716187e-01 -6.7278760671615601e-01
-            4.8823799937963486e-02 -5.3364491462707520e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2645736694335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1061 2.1500000000000000e+01 0 -1 1062
-            1.0150000000000000e+02 -2 -3 1063 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7698954343795776e-01 9.1966107487678528e-02
-            -1.9366940855979919e-01 6.3159108161926270e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2804265975952148e+01</treeThreshold>
-          <internalNodes>
-            1 2 1064 1.4500000000000000e+01 0 -1 1065
-            6.5000000000000000e+00 -2 -3 1066 31.</internalNodes>
-          <leafValues>
-            -4.2572322487831116e-01 2.5687438249588013e-01
-            -4.0757122635841370e-01 8.0108904838562012e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2991754531860352e+01</treeThreshold>
-          <internalNodes>
-            1 2 1067 7.5000000000000000e+00 0 -1 1068
-            3.5000000000000000e+00 -2 -3 1069 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.2490467131137848e-01 3.3885499835014343e-01
-            3.8232448697090149e-01 -4.9994280934333801e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2915760040283203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1070 1.0500000000000000e+01 0 -1 1071
-            2.5000000000000000e+00 -2 -3 1072 43.</internalNodes>
-          <leafValues>
-            -2.2366788983345032e-01 2.6461529731750488e-01
-            -6.6056483983993530e-01 6.4644366502761841e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3167186737060547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1073 1.5000000000000000e+00 0 -1 1074
-            3.5000000000000000e+00 -2 -3 1075 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 4.9131840467453003e-01 -4.0733695030212402e-01
-            9.9567189812660217e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.2755411148071289e+01</treeThreshold>
-          <internalNodes>
-            1 2 1076 1.5000000000000000e+00 0 -1 1077
-            4.5000000000000000e+00 -2 -3 1078 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5926685333251953e-01 3.4496614336967468e-01
-            1.2074087560176849e-01 -5.2481061220169067e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2953344345092773e+01</treeThreshold>
-          <internalNodes>
-            1 2 1079 2.8150000000000000e+02 0 -1 1080
-            4.1650000000000000e+02 -2 -3 1081 6.9350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3359700441360474e-01 5.3399580717086792e-01
-            8.4570676088333130e-01 -3.3458182215690613e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3368593215942383e+01</treeThreshold>
-          <internalNodes>
-            1 2 1082 227. 0 -1 1083 1.0550000000000000e+02 -2 -3 1084
-            4.4650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3385640978813171e-02 4.1524896025657654e-01
-            -9.4336360692977905e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.3024780273437500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1085 5.2550000000000000e+02 0 -1 1086
-            4.2150000000000000e+02 -2 -3 1087 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.6232274472713470e-02 6.8589657545089722e-01
-            -6.7987442016601562e-01 7.3400551080703735e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3133411407470703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1088 2.5000000000000000e+00 0 -1 1089
-            1.5000000000000000e+00 -2 -3 1090 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0522230267524719e-01 5.5176895856857300e-01
-            -2.5108471512794495e-01 4.3696498870849609e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2578367233276367e+01</treeThreshold>
-          <internalNodes>
-            1 2 1091 3.6500000000000000e+01 0 -1 1092 26. -2 -3 1093
-            3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            8.0150479078292847e-01 -8.8337904214859009e-01
-            1.4003737270832062e-01 -8.9142149686813354e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2617025375366211e+01</treeThreshold>
-          <internalNodes>
-            1 2 1094 1.1500000000000000e+01 0 -1 1095
-            6.8500000000000000e+01 -2 -3 1096 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.8602235317230225e-01 3.8658622652292252e-02
-            9.1023242473602295e-01 -3.9350971579551697e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2626764297485352e+01</treeThreshold>
-          <internalNodes>
-            1 2 1097 3.7050000000000000e+02 0 -1 1098
-            4.8150000000000000e+02 -2 -3 1099 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 7.9611843824386597e-01 -7.0780706405639648e-01
-            9.7384164109826088e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.2082014083862305e+01</treeThreshold>
-          <internalNodes>
-            1 2 1100 2.5000000000000000e+00 0 -1 1101
-            6.5000000000000000e+00 -2 -3 1102 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.9881603717803955e-01 2.6402229070663452e-01
-            5.0668692588806152e-01 -5.4474925994873047e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2490549087524414e+01</treeThreshold>
-          <internalNodes>
-            1 2 1103 5.0000000000000000e-01 0 -1 1104
-            5.0000000000000000e-01 -2 -3 1105 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.8074820637702942e-01 4.0853387117385864e-01
-            -3.7592467665672302e-01 5.0597894191741943e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2812757492065430e+01</treeThreshold>
-          <internalNodes>
-            1 2 1106 4.0500000000000000e+01 0 -1 1107
-            1.0500000000000000e+01 -2 -3 1108 8.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0385506153106689e-01 3.2220870256423950e-01
-            6.9755470752716064e-01 -3.9865970611572266e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2352939605712891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1109 1.2500000000000000e+01 0 -1 1110
-            1.5000000000000000e+00 -2 -3 1111 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1285776793956757e-01 -4.5981806516647339e-01
-            4.1973820328712463e-01 -2.2565999627113342e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2610305786132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1112 2.0500000000000000e+01 0 -1 1113
-            1.5000000000000000e+00 -2 -3 1114 29.</internalNodes>
-          <leafValues>
-            -2.0439949631690979e-01 2.5736668705940247e-01
-            -9.8827475309371948e-01 7.2147792577743530e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2741743087768555e+01</treeThreshold>
-          <internalNodes>
-            1 2 1115 3.5000000000000000e+00 0 -1 1116
-            4.8500000000000000e+01 -2 -3 1117 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4092458486557007e-02 5.6227135658264160e-01
-            -5.6600910425186157e-01 1.3143694400787354e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2782821655273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1118 5.6500000000000000e+01 0 -1 1119
-            3.3150000000000000e+02 -2 -3 1120 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1078153997659683e-02 8.1302630901336670e-01
-            -7.2408193349838257e-01 2.5323694944381714e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2561285018920898e+01</treeThreshold>
-          <internalNodes>
-            1 2 1121 1.5000000000000000e+00 0 -1 1122
-            6.5000000000000000e+00 -2 -3 1123 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3376455307006836e-01 -1.1895341426134109e-01
-            3.2173439860343933e-01 -2.2153630852699280e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2957450866699219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1124 1.5000000000000000e+00 0 -1 1125
-            7.6950000000000000e+02 -2 -3 1126 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.0485479831695557e-01 4.8193752765655518e-01
-            -2.8308025002479553e-01 3.9616531133651733e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3185138702392578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1127 5.5000000000000000e+00 0 -1 1128
-            4.5000000000000000e+00 -2 -3 1129 1.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -7.7944564819335938e-01 3.1965014338493347e-01
-            2.2768935561180115e-01 -4.3597799539566040e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3197412490844727e+01</treeThreshold>
-          <internalNodes>
-            1 2 1130 2.5000000000000000e+00 0 -1 1131
-            2.5000000000000000e+00 -2 -3 1132 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.9841811656951904e-02 -7.1680092811584473e-01
-            6.8867534399032593e-01 1.2272221967577934e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.3383518218994141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1133 9.5000000000000000e+00 0 -1 1134
-            1.0115000000000000e+03 -2 -3 1135 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5907582044601440e-01 5.5666831322014332e-03
-            -6.5333795547485352e-01 1.8610689043998718e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4061538696289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1136 3.5500000000000000e+01 0 -1 1137
-            1.5000000000000000e+00 -2 -3 1138 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.7802059650421143e-01 -4.0095943212509155e-01
-            -8.5392379760742188e-01 -2.6821995154023170e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4534542083740234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1139 1.2350000000000000e+02 0 -1 1140
-            2.9500000000000000e+01 -2 -3 1141 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.6275803148746490e-02 4.7300234436988831e-01
-            -9.2102265357971191e-01 1.5679582953453064e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4849668502807617e+01</treeThreshold>
-          <internalNodes>
-            1 2 1142 4.5000000000000000e+00 0 -1 1143
-            1.5000000000000000e+00 -2 -3 1144 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1332806348800659e-01 -1.8122823908925056e-02
-            7.0794415473937988e-01 -2.4113529920578003e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4467212677001953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1145 4.1850000000000000e+02 0 -1 1146
-            8.5000000000000000e+00 -2 -3 1147 2945.</internalNodes>
-          <leafValues>
-            2.2338098287582397e-01 -3.8245588541030884e-01
-            7.1123474836349487e-01 -3.3307316899299622e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4749870300292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1148 2.2500000000000000e+01 0 -1 1149
-            1.9500000000000000e+01 -2 -3 1150 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.2208207249641418e-01 -4.9405458569526672e-01
-            -6.4639550447463989e-01 2.8265854716300964e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5424608230590820e+01</treeThreshold>
-          <internalNodes>
-            1 2 1151 2.8150000000000000e+02 0 -1 1152
-            4.2850000000000000e+02 -2 -3 1153 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.4349616132676601e-02 8.4566748142242432e-01
-            -9.5824217796325684e-01 -1.0716012120246887e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4834630966186523e+01</treeThreshold>
-          <internalNodes>
-            1 2 1154 8.5000000000000000e+00 0 -1 1155
-            5.5000000000000000e+00 -2 -3 1156 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.1508189383894205e-03 5.6899297237396240e-01
-            6.4855700731277466e-01 -6.4779657125473022e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4929552078247070e+01</treeThreshold>
-          <internalNodes>
-            1 2 1157 7.5000000000000000e+00 0 -1 1158
-            4.5000000000000000e+00 -2 -3 1159 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            9.4921566545963287e-02 -4.8822158575057983e-01
-            6.4119017124176025e-01 -2.8962375596165657e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4881700515747070e+01</treeThreshold>
-          <internalNodes>
-            1 2 1160 9.1500000000000000e+01 0 -1 1161
-            2.5500000000000000e+01 -2 -3 1162 1122.</internalNodes>
-          <leafValues>
-            -4.7852240502834320e-02 5.2576094865798950e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.5097393035888672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1163 1.7150000000000000e+02 0 -1 1164
-            3.4500000000000000e+01 -2 -3 1165 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.1177834272384644e-01 2.1569216251373291e-01
-            -9.0615940093994141e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.5430635452270508e+01</treeThreshold>
-          <internalNodes>
-            1 2 1166 5.5000000000000000e+00 0 -1 1167
-            5.0000000000000000e-01 -2 -3 1168 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.0626584291458130e-01 -4.2933013290166855e-02
-            1.2032220512628555e-01 -4.5643520355224609e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4833143234252930e+01</treeThreshold>
-          <internalNodes>
-            1 2 1169 6.5000000000000000e+00 0 -1 1170
-            2.5000000000000000e+00 -2 -3 1171 2.0050000000000000e+02</internalNodes>
-          <leafValues>
-            1.9587014615535736e-01 -8.7051421403884888e-01
-            -2.0953345298767090e-01 2.9975613951683044e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5055957794189453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1172 1.7415000000000000e+03 0 -1 1173
-            1.0500000000000000e+01 -2 -3 1174 1.1750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2608142495155334e-01 2.2281394898891449e-01
-            -8.6601722240447998e-01 5.6492161750793457e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5411783218383789e+01</treeThreshold>
-          <internalNodes>
-            1 2 1175 1.9500000000000000e+01 0 -1 1176
-            1.5000000000000000e+00 -2 -3 1177 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.2238333523273468e-01 3.5582524538040161e-01
-            9.7925044596195221e-02 -5.7895737886428833e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5232561111450195e+01</treeThreshold>
-          <internalNodes>
-            1 2 1178 5.5000000000000000e+00 0 -1 1179
-            3.5000000000000000e+00 -2 -3 1180 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1.0744545608758926e-01 2.4408946931362152e-01
-            -1.7922264337539673e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5592079162597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1181 8.5000000000000000e+00 0 -1 1182
-            3.7750000000000000e+02 -2 -3 1183 1.7450000000000000e+02</internalNodes>
-          <leafValues>
-            3.5951843857765198e-01 -2.5438147783279419e-01
-            5.8976590633392334e-01 -6.4009445905685425e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5460926055908203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1184 2.8350000000000000e+02 0 -1 1185
-            1.5885000000000000e+03 -2 -3 1186 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3115195930004120e-01 5.7663148641586304e-01
-            -8.3647221326828003e-01 -5.5450040847063065e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4983026504516602e+01</treeThreshold>
-          <internalNodes>
-            1 2 1187 5.0000000000000000e-01 0 -1 1188
-            1.8500000000000000e+01 -2 -3 1189 3.4650000000000000e+02</internalNodes>
-          <leafValues>
-            5.0644135475158691e-01 -1. -4.7790014743804932e-01
-            5.8962784707546234e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4962465286254883e+01</treeThreshold>
-          <internalNodes>
-            1 2 1190 3.8250000000000000e+02 0 -1 1191
-            9.5000000000000000e+00 -2 -3 1192 8.5950000000000000e+02</internalNodes>
-          <leafValues>
-            5.8645974844694138e-02 -9.5598822832107544e-01
-            7.1161812543869019e-01 -2.0562157034873962e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4795219421386719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1193 2.8500000000000000e+01 0 -1 1194
-            1.5000000000000000e+00 -2 -3 1195 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9913264513015747e-01 -1.6724526882171631e-01
-            -8.8783025741577148e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.4997814178466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1196 1.4500000000000000e+01 0 -1 1197 43. -2 -3 1198
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.6730864048004150e-01 1. -9.0318864583969116e-01
-            2.0259493589401245e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5250741958618164e+01</treeThreshold>
-          <internalNodes>
-            1 2 1199 5.5000000000000000e+00 0 -1 1200
-            1.7500000000000000e+01 -2 -3 1201 9.8500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5292718410491943e-01 -5.6624042987823486e-01
-            -4.7334527969360352e-01 7.5167727470397949e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5597959518432617e+01</treeThreshold>
-          <internalNodes>
-            1 2 1202 1.5000000000000000e+00 0 -1 1203
-            4.5000000000000000e+00 -2 -3 1204 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.2678531408309937e-01 -7.2871202230453491e-01
-            3.4721735119819641e-01 -1.4052625000476837e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6015928268432617e+01</treeThreshold>
-          <internalNodes>
-            1 2 1205 3.3500000000000000e+01 0 -1 1206
-            1.5000000000000000e+00 -2 -3 1207 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.1335107088088989e-01 -6.8683260679244995e-01
-            4.1797044873237610e-01 -7.5381346046924591e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.6080852508544922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1208 1.9450000000000000e+02 0 -1 1209
-            3.4500000000000000e+01 -2 -3 1210 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.0427057743072510e-01 5.5709409713745117e-01
-            3.4673354029655457e-01 -1.8051835894584656e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6467638015747070e+01</treeThreshold>
-          <internalNodes>
-            1 2 1211 2.5115000000000000e+03 0 -1 1212
-            8.5000000000000000e+00 -2 -3 1213 2.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.5619848966598511e-01 4.9012210965156555e-01
-            -4.2894706130027771e-01 1.0497479885816574e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6485155105590820e+01</treeThreshold>
-          <internalNodes>
-            1 2 1214 9.6650000000000000e+02 0 -1 1215
-            3.2550000000000000e+02 -2 -3 1216 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7517041414976120e-02 7.9495114088058472e-01
-            7.8716523945331573e-02 -8.8528424501419067e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6288461685180664e+01</treeThreshold>
-          <internalNodes>
-            1 2 1217 2.7915000000000000e+03 0 -1 1218
-            4.5000000000000000e+00 -2 -3 1219 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.9669318199157715e-01 2.9254439473152161e-01
-            -8.2664072513580322e-01 2.2074800729751587e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6351388931274414e+01</treeThreshold>
-          <internalNodes>
-            1 2 1220 1.5000000000000000e+00 0 -1 1221
-            2.5000000000000000e+00 -2 -3 1222 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.2111295461654663e-01 4.7202318906784058e-01
-            -8.8099575042724609e-01 -7.9371139407157898e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.6195323944091797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1223 9.5000000000000000e+00 0 -1 1224
-            4.3650000000000000e+02 -2 -3 1225 6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.2379628419876099e-01 -3.6856892704963684e-01
-            -5.6515967845916748e-01 -2.9386903624981642e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.6427618026733398e+01</treeThreshold>
-          <internalNodes>
-            1 2 1226 5.6500000000000000e+01 0 -1 1227
-            1.8500000000000000e+01 -2 -3 1228 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.6606630682945251e-01 2.3229379951953888e-01
-            4.9491932988166809e-01 -7.3755401372909546e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6300844192504883e+01</treeThreshold>
-          <internalNodes>
-            1 2 1229 6.1500000000000000e+01 0 -1 1230
-            4.1750000000000000e+02 -2 -3 1231 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.9513667821884155e-01 7.5124400854110718e-01
-            2.2448441386222839e-01 -2.7989912033081055e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6734531402587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1232 2.9500000000000000e+01 0 -1 1233 280. -2 -3 1234
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.1864694952964783e-01 -6.6632729768753052e-01
-            4.5777958631515503e-01 -8.0784313380718231e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.6800367355346680e+01</treeThreshold>
-          <internalNodes>
-            1 2 1235 4.1265000000000000e+03 0 -1 1236
-            5.0000000000000000e-01 -2 -3 1237 7.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9412322640419006e-01 -3.0951443314552307e-01
-            -9.7793340682983398e-01 4.3862605094909668e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6887401580810547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1238 350. 0 -1 1239 7.5000000000000000e+00 -2 -3 1240
-            2.2350000000000000e+02</internalNodes>
-          <leafValues>
-            8.7033271789550781e-02 -3.6893099546432495e-01
-            9.4931793212890625e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.7101215362548828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1241 5.5000000000000000e+00 0 -1 1242
-            3.5000000000000000e+00 -2 -3 1243 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3407133817672729e-01 6.2552863359451294e-01
-            2.1381312608718872e-01 -3.0896508693695068e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7130867004394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1244 2.6500000000000000e+01 0 -1 1245
-            1.0350000000000000e+02 -2 -3 1246 17.</internalNodes>
-          <leafValues>
-            2.9652552679181099e-02 -4.6722367405891418e-01
-            -9.2275160551071167e-01 9.4599908590316772e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7444198608398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1247 1.5000000000000000e+00 0 -1 1248 9. -2 -3 1249
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.2614519596099854e-01 1. 3.1333214044570923e-01
-            -1.0745179653167725e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7101421356201172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1250 5.0000000000000000e-01 0 -1 1251
-            5.9500000000000000e+01 -2 -3 1252 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9119881391525269e-01 3.8085353374481201e-01
-            -3.4277844429016113e-01 5.1453381776809692e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7595775604248047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1253 1.5000000000000000e+00 0 -1 1254
-            1.6855000000000000e+03 -2 -3 1255 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.9557527899742126e-01 -1.8799009919166565e-01
-            4.2001377791166306e-02 -5.3131079673767090e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7920442581176758e+01</treeThreshold>
-          <internalNodes>
-            1 2 1256 788. 0 -1 1257 8.5000000000000000e+00 -2 -3 1258
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.2728736996650696e-01 -5.2986663579940796e-01
-            -4.7308242321014404e-01 3.2466796040534973e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7709392547607422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1259 4.0450000000000000e+02 0 -1 1260
-            9.5000000000000000e+00 -2 -3 1261 1.0895000000000000e+03</internalNodes>
-          <leafValues>
-            -1. 6.6353029012680054e-01 5.8117783069610596e-01
-            -2.1105107665061951e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7577920913696289e+01</treeThreshold>
-          <internalNodes>
-            1 2 1262 2.0750000000000000e+02 0 -1 1263
-            5.0000000000000000e-01 -2 -3 1264 1.0650000000000000e+02</internalNodes>
-          <leafValues>
-            2.2170700132846832e-01 -3.8288524746894836e-01
-            4.9027836322784424e-01 -3.9834201335906982e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7649755477905273e+01</treeThreshold>
-          <internalNodes>
-            1 2 1265 4.5000000000000000e+00 0 -1 1266
-            4.5000000000000000e+00 -2 -3 1267 6.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5156159400939941e-01 7.1834795176982880e-02
-            3.5335651040077209e-01 -7.6608622074127197e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7592519760131836e+01</treeThreshold>
-          <internalNodes>
-            1 2 1268 107. 0 -1 1269 2.1500000000000000e+01 -2 -3 1270
-            5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.7235393673181534e-02 6.3974326848983765e-01
-            -8.9891165494918823e-01 8.4132647514343262e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8039279937744141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1271 1.9650000000000000e+02 0 -1 1272
-            1.9150000000000000e+02 -2 -3 1273 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.8037152290344238e-01 4.0258809924125671e-01
-            4.4676044583320618e-01 -3.5154557228088379e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8309566497802734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1274 1.5500000000000000e+01 0 -1 1275
-            2.7950000000000000e+02 -2 -3 1276 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2468610703945160e-01 -4.9273210763931274e-01
-            3.2381328940391541e-01 -5.3833800554275513e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8425289154052734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1277 2.5000000000000000e+00 0 -1 1278
-            5.5000000000000000e+00 -2 -3 1279 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7587949037551880e-01 6.4044964313507080e-01
-            1.9836525619029999e-01 -2.7098080515861511e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8559995651245117e+01</treeThreshold>
-          <internalNodes>
-            1 2 1280 2.5500000000000000e+01 0 -1 1281
-            2.3500000000000000e+01 -2 -3 1282 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2615139186382294e-01 -8.1296950578689575e-01
-            -6.1625677347183228e-01 1.3470700383186340e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8543394088745117e+01</treeThreshold>
-          <internalNodes>
-            1 2 1283 2.5000000000000000e+00 0 -1 1284
-            8.5000000000000000e+00 -2 -3 1285 2.1250000000000000e+02</internalNodes>
-          <leafValues>
-            -8.9228659868240356e-01 4.5488858222961426e-01
-            -3.4728524088859558e-01 2.5915831327438354e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8494907379150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1286 1.2500000000000000e+01 0 -1 1287
-            1.4500000000000000e+01 -2 -3 1288 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.8487342894077301e-02 4.5671224594116211e-01
-            -6.9567614793777466e-01 2.2189494967460632e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8800910949707031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1289 9.5000000000000000e+00 0 -1 1290
-            5.9150000000000000e+02 -2 -3 1291 2.9450000000000000e+02</internalNodes>
-          <leafValues>
-            4.2912089824676514e-01 -2.9302126169204712e-01
-            -5.0501853227615356e-01 1.8034780025482178e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8596752166748047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1292 4.2500000000000000e+01 0 -1 1293
-            5.5000000000000000e+00 -2 -3 1294 7.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2166477739810944e-01 -3.2727557420730591e-01
-            8.2486468553543091e-01 -5.0142651796340942e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8626392364501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1295 2.5000000000000000e+00 0 -1 1296
-            3.5000000000000000e+00 -2 -3 1297 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7770340442657471e-01 6.9287467002868652e-01
-            -8.0658948421478271e-01 1.8084625899791718e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8708953857421875e+01</treeThreshold>
-          <internalNodes>
-            1 0 1298 3.3725000000000000e+03 1 0 1298 3.3725000000000000e+03 -1 -2 1299
-            8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. -1. 8.2561485469341278e-02 -5.9142053127288818e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8768381118774414e+01</treeThreshold>
-          <internalNodes>
-            1 2 1300 3.5000000000000000e+00 0 -1 1301
-            5.0000000000000000e-01 -2 -3 1302 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9427969157695770e-02 -4.2056742310523987e-01
-            -9.8931659013032913e-03 8.4051847457885742e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9076734542846680e+01</treeThreshold>
-          <internalNodes>
-            1 2 1303 9.5000000000000000e+00 0 -1 1304
-            2.5000000000000000e+00 -2 -3 1305 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.9572173058986664e-01 3.3956131339073181e-01
-            -6.8136513233184814e-01 5.0462640821933746e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.8759977340698242e+01</treeThreshold>
-          <internalNodes>
-            1 2 1306 5.5000000000000000e+00 0 -1 1307
-            4.5500000000000000e+01 -2 -3 1308 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8079681396484375e-01 -2.0112591981887817e-01
-            -3.1675732135772705e-01 6.5385729074478149e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9039993286132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1309 2.4500000000000000e+01 0 -1 1310
-            5.0000000000000000e-01 -2 -3 1311 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5188516974449158e-01 -4.6550124883651733e-01
-            2.8001558780670166e-01 -9.2857027053833008e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8505546569824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1312 4.5000000000000000e+00 0 -1 1313
-            5.5000000000000000e+00 -2 -3 1314 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4169548749923706e-01 3.0654165148735046e-01
-            -5.6565535068511963e-01 7.2410300374031067e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.8419874191284180e+01</treeThreshold>
-          <internalNodes>
-            1 2 1315 7.5000000000000000e+00 0 -1 1316
-            1.5000000000000000e+00 -2 -3 1317 1.9650000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4478438496589661e-01 3.8954260945320129e-01
-            -7.9576337337493896e-01 -8.5671968758106232e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.8579849243164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1318 5.2150000000000000e+02 0 -1 1319
-            1.0489500000000000e+04 -2 -3 1320 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2212122678756714e-01 9.0178871154785156e-01
-            -3.1562241911888123e-01 1.5997636318206787e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8459320068359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1321 1.5000000000000000e+00 0 -1 1322
-            5.0000000000000000e-01 -2 -3 1323 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -8.4853529930114746e-01 3.9166802167892456e-01
-            -1.2053045630455017e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8431394577026367e+01</treeThreshold>
-          <internalNodes>
-            1 2 1324 7.5000000000000000e+00 0 -1 1325
-            1.5000000000000000e+00 -2 -3 1326 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6120177507400513e-01 -2.7925388887524605e-02
-            5.5075007677078247e-01 -1.0082748532295227e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8410589218139648e+01</treeThreshold>
-          <internalNodes>
-            1 2 1327 5.0000000000000000e-01 0 -1 1328
-            3.9795000000000000e+03 -2 -3 1329 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1049576997756958e-01 3.9087232947349548e-01
-            -3.5268875956535339e-01 3.9845284819602966e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8433393478393555e+01</treeThreshold>
-          <internalNodes>
-            1 2 1330 1.4050000000000000e+02 0 -1 1331
-            1.1395000000000000e+03 -2 -3 1332 2.7850000000000000e+02</internalNodes>
-          <leafValues>
-            2.2805029526352882e-02 7.5605183839797974e-01
-            8.0587834119796753e-01 -3.1199476122856140e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8450145721435547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1333 1.5000000000000000e+00 0 -1 1334
-            1.6500000000000000e+01 -2 -3 1335 66.</internalNodes>
-          <leafValues>
-            -6.0126043856143951e-02 5.0909739732742310e-01
-            -4.1120404005050659e-01 8.8414204120635986e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8767240524291992e+01</treeThreshold>
-          <internalNodes>
-            1 2 1336 1.9250000000000000e+02 0 -1 1337
-            6.5000000000000000e+00 -2 -3 1338 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.9290012121200562e-01 3.1709375977516174e-01
-            7.3394829034805298e-01 -8.9523345232009888e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8702144622802734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1339 1.7500000000000000e+01 0 -1 1340
-            5.9500000000000000e+01 -2 -3 1341 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.5095275640487671e-02 5.5785542726516724e-01
-            -1.1056717485189438e-01 -9.8700886964797974e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9059293746948242e+01</treeThreshold>
-          <internalNodes>
-            1 2 1342 5.0000000000000000e-01 0 -1 1343
-            4.5500000000000000e+01 -2 -3 1344 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.5714986920356750e-01 -7.6953470706939697e-01
-            2.2187548875808716e-01 -3.9218652248382568e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9209346771240234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1345 2.5000000000000000e+00 0 -1 1346
-            3.5000000000000000e+00 -2 -3 1347 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3074096441268921e-01 -1.4095039805397391e-03
-            -2.0701825618743896e-01 3.2750377058982849e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9597459793090820e+01</treeThreshold>
-          <internalNodes>
-            1 2 1348 4.5000000000000000e+00 0 -1 1349
-            2.5000000000000000e+00 -2 -3 1350 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1926873922348022e-01 3.8811251521110535e-01
-            -5.9947311878204346e-01 4.5066747814416885e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9683750152587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1351 3.0065000000000000e+03 0 -1 1352
-            2.5000000000000000e+00 -2 -3 1353 28.</internalNodes>
-          <leafValues>
-            2.7020177245140076e-01 -2.1698342263698578e-01
-            -6.7762559652328491e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.9320285797119141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1354 1.0150000000000000e+02 0 -1 1355
-            1.4500000000000000e+01 -2 -3 1356 7.2250000000000000e+02</internalNodes>
-          <leafValues>
-            7.8379042446613312e-02 -5.4737460613250732e-01
-            4.7727963328361511e-01 -3.0317762494087219e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9167158126831055e+01</treeThreshold>
-          <internalNodes>
-            1 2 1357 1.6500000000000000e+01 0 -1 1358
-            7.5000000000000000e+00 -2 -3 1359 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1418055295944214e-01 2.5399097800254822e-01
-            3.6157444119453430e-01 -1.5312907099723816e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8848419189453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1360 1.6655000000000000e+03 0 -1 1361 2034. -2 -3 1362
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.0075697898864746e-01 -6.3801389932632446e-01
-            2.4804645776748657e-01 -3.1873735785484314e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9447010040283203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1363 8.5000000000000000e+00 0 -1 1364 4233. -2 -3 1365
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.1500657796859741e-01 2.0234003663063049e-01
-            5.9859085083007812e-01 -6.2637329101562500e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9621536254882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1366 2.8500000000000000e+01 0 -1 1367
-            6.5000000000000000e+00 -2 -3 1368 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.5707628726959229e-01 5.3847658634185791e-01
-            6.6506719589233398e-01 -8.9059453457593918e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.9310569763183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1369 1.5000000000000000e+00 0 -1 1370
-            3.5000000000000000e+00 -2 -3 1371 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.1096714735031128e-01 5.4285377264022827e-01
-            2.7238297462463379e-01 -3.5304248332977295e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9590980529785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1372 3.5000000000000000e+00 0 -1 1373
-            2.1050000000000000e+02 -2 -3 1374 92.</internalNodes>
-          <leafValues>
-            5.3505009412765503e-01 -5.9452915191650391e-01
-            2.8041049838066101e-01 -5.0162929296493530e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9814289093017578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1375 2.0500000000000000e+01 0 -1 1376
-            2.4500000000000000e+01 -2 -3 1377 3.0250000000000000e+02</internalNodes>
-          <leafValues>
-            8.2163912057876587e-01 -8.8399130105972290e-01
-            2.2330832481384277e-01 -2.4669396877288818e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9326959609985352e+01</treeThreshold>
-          <internalNodes>
-            1 2 1378 2.0450000000000000e+02 0 -1 1379
-            3.5000000000000000e+00 -2 -3 1380 1.0150000000000000e+02</internalNodes>
-          <leafValues>
-            1.2511831521987915e-01 -4.8732957243919373e-01
-            5.5693435668945312e-01 -8.8121764361858368e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9750629425048828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1381 5.0000000000000000e-01 0 -1 1382
-            6.6500000000000000e+01 -2 -3 1383 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2367118597030640e-01 -6.9602817296981812e-01
-            -3.0880212783813477e-01 5.4164516925811768e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0155447006225586e+01</treeThreshold>
-          <internalNodes>
-            1 2 1384 1.5000000000000000e+00 0 -1 1385
-            1.5000000000000000e+00 -2 -3 1386 6.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -1.1533217877149582e-01 5.3498321771621704e-01
-            7.6679694652557373e-01 -3.2542830705642700e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0284055709838867e+01</treeThreshold>
-          <internalNodes>
-            1 2 1387 8.5000000000000000e+00 0 -1 1388
-            3.2500000000000000e+01 -2 -3 1389 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.8155191540718079e-01 9.3192115426063538e-02
-            -7.9174178838729858e-01 3.6954385042190552e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0242467880249023e+01</treeThreshold>
-          <internalNodes>
-            1 2 1390 377. 0 -1 1391 2.1500000000000000e+01 -2 -3 1392
-            7.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.5957934856414795e-01 1. 1.7622567713260651e-01
-            -4.1268944740295410e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0572156906127930e+01</treeThreshold>
-          <internalNodes>
-            1 2 1393 5.0000000000000000e-01 0 -1 1394
-            3.5000000000000000e+00 -2 -3 1395 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.0002107620239258e-01 4.2895126342773438e-01
-            2.3685966432094574e-01 -4.2866301536560059e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0457502365112305e+01</treeThreshold>
-          <internalNodes>
-            1 2 1396 4.5000000000000000e+00 0 -1 1397
-            1.6250000000000000e+02 -2 -3 1398 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.6815794706344604e-01 8.4674382209777832e-01
-            3.9578998088836670e-01 -1.1465511471033096e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0213840484619141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1399 1.0500000000000000e+01 0 -1 1400
-            1.2500000000000000e+01 -2 -3 1401 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4366129934787750e-01 3.7467244267463684e-01
-            7.1891885995864868e-01 -8.4162598848342896e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0744232177734375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1402 4.1500000000000000e+01 0 -1 1403
-            8.1500000000000000e+01 -2 -3 1404 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4227573275566101e-01 7.8069388866424561e-01
-            -4.0449675917625427e-01 1.1648512631654739e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1348308563232422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1405 6.5000000000000000e+00 0 -1 1406
-            2.5000000000000000e+00 -2 -3 1407 2.7350000000000000e+02</internalNodes>
-          <leafValues>
-            6.0407727956771851e-01 -7.3400579392910004e-02
-            4.1362971067428589e-01 -5.1575213670730591e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1235607147216797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1408 2.5000000000000000e+00 0 -1 1409
-            1.5000000000000000e+00 -2 -3 1410 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3220674991607666e-01 2.5101718306541443e-01
-            -1.1270266026258469e-01 3.8758441805839539e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1384792327880859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1411 1.5000000000000000e+00 0 -1 1412
-            5.0000000000000000e-01 -2 -3 1413 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2711343765258789e-01 3.9250954985618591e-01
-            -6.3318008184432983e-01 -4.6615589410066605e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.1738409042358398e+01</treeThreshold>
-          <internalNodes>
-            1 2 1414 5.5000000000000000e+00 0 -1 1415
-            4.5000000000000000e+00 -2 -3 1416 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7144132852554321e-01 3.7160307168960571e-01
-            1.1029309034347534e-01 -5.2341604232788086e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1525688171386719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1417 2.7500000000000000e+01 0 -1 1418
-            2.3750000000000000e+02 -2 -3 1419 549.</internalNodes>
-          <leafValues>
-            4.2861595749855042e-01 -2.9767978191375732e-01
-            -2.2094106674194336e-01 5.4825913906097412e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1673740386962891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1420 1.5000000000000000e+00 0 -1 1421
-            4.9500000000000000e+01 -2 -3 1422 2.9050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7654346227645874e-01 1. -4.0255749225616455e-01
-            2.0044519007205963e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1621431350708008e+01</treeThreshold>
-          <internalNodes>
-            1 2 1423 4.7150000000000000e+02 0 -1 1424
-            1.2725000000000000e+03 -2 -3 1425 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.5338832139968872e-01 -9.5602899789810181e-01
-            2.4892359972000122e-01 -2.9016712307929993e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1906398773193359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1426 1.7450000000000000e+02 0 -1 1427
-            2.5000000000000000e+00 -2 -3 1428 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.8344168365001678e-01 2.8496730327606201e-01
-            -7.7526789903640747e-01 9.1641843318939209e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1950384140014648e+01</treeThreshold>
-          <internalNodes>
-            1 2 1429 3.5000000000000000e+00 0 -1 1430
-            4.2950000000000000e+02 -2 -3 1431 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3984048068523407e-02 -5.2791535854339600e-01
-            -4.3941143155097961e-01 4.2989644408226013e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1539623260498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1432 1.4500000000000000e+01 0 -1 1433
-            7.2500000000000000e+01 -2 -3 1434 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7415037155151367e-01 2.2627775371074677e-01
-            4.7551122307777405e-01 -5.0471997261047363e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1797233581542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1435 6.3500000000000000e+01 0 -1 1436
-            1.0850000000000000e+02 -2 -3 1437 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0805023461580276e-01 -5.7090175151824951e-01
-            2.5760993361473083e-01 -9.4147402048110962e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1993934631347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1438 5.0000000000000000e-01 0 -1 1439
-            8.5000000000000000e+00 -2 -3 1440 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.1666507720947266e-01 2.8140199184417725e-01
-            -3.5136243700981140e-01 5.8392471075057983e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1840326309204102e+01</treeThreshold>
-          <internalNodes>
-            1 2 1441 5.0000000000000000e-01 0 -1 1442
-            1.1500000000000000e+01 -2 -3 1443 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.9454715847969055e-01 5.0047302246093750e-01
-            -2.3830898106098175e-01 6.4585840702056885e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2244338989257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1444 3.0500000000000000e+01 0 -1 1445
-            6.5000000000000000e+00 -2 -3 1446 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.4317447841167450e-02 4.1323140263557434e-01
-            8.8791429996490479e-01 -5.5340951681137085e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1874242782592773e+01</treeThreshold>
-          <internalNodes>
-            1 2 1447 3.5000000000000000e+00 0 -1 1448
-            2.1500000000000000e+01 -2 -3 1449 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.4473064541816711e-01 -8.1799471378326416e-01
-            1.6169716417789459e-01 -4.3674921989440918e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2102954864501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1450 3.5000000000000000e+00 0 -1 1451
-            9.5000000000000000e+00 -2 -3 1452 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -8.5720342397689819e-01 2.2871300578117371e-01
-            -2.1341961622238159e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2401298522949219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1453 200. 0 -1 1454 5.0000000000000000e-01 -2 -3 1455
-            2.8950000000000000e+02</internalNodes>
-          <leafValues>
-            3.7498253583908081e-01 -7.6661145687103271e-01
-            2.9834258556365967e-01 -1.9752407073974609e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2551811218261719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1456 5.0000000000000000e-01 0 -1 1457
-            7.5000000000000000e+00 -2 -3 1458 3.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7189918756484985e-01 7.6164549589157104e-01
-            -5.3731578588485718e-01 1.5051148831844330e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2488182067871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1459 1.1500000000000000e+01 0 -1 1460
-            2.9500000000000000e+01 -2 -3 1461 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3691195249557495e-01 3.8235971331596375e-01
-            3.9164143800735474e-01 -9.9554806947708130e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.2482566833496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1462 3.2500000000000000e+01 0 -1 1463
-            1.9350000000000000e+02 -2 -3 1464 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.4678239822387695e-01 -4.1009801626205444e-01
-            6.7378622293472290e-01 -2.0099114626646042e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.2707458496093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1465 4.5000000000000000e+00 0 -1 1466
-            6.5000000000000000e+00 -2 -3 1467 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.5011846423149109e-01 -3.5912483930587769e-01
-            -5.8069908618927002e-01 5.2788341045379639e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2913391113281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1468 6.5000000000000000e+00 0 -1 1469
-            5.0000000000000000e-01 -2 -3 1470 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8070517480373383e-01 -3.1766068935394287e-01
-            -3.3772376179695129e-01 7.4420511722564697e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2734760284423828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1471 5.7550000000000000e+02 0 -1 1472
-            3.7550000000000000e+02 -2 -3 1473 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 5.9613960981369019e-01 -1.8499724566936493e-01
-            6.4883458614349365e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2690444946289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1474 7.5000000000000000e+00 0 -1 1475
-            1.4750000000000000e+02 -2 -3 1476 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9465433359146118e-01 5.9437677264213562e-02
-            5.1306140422821045e-01 -4.4315967708826065e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.2958328247070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1477 1.3500000000000000e+01 0 -1 1478
-            9.5000000000000000e+00 -2 -3 1479 7.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.6634312868118286e-01 4.1094091534614563e-01
-            2.8711420297622681e-01 -4.4429847598075867e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2698860168457031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1480 5.0000000000000000e-01 0 -1 1481
-            2.1500000000000000e+01 -2 -3 1482 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.7188944220542908e-01 -5.5644994974136353e-01
-            2.1933442354202271e-01 -4.9837693572044373e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3325595855712891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1483 1.3500000000000000e+01 0 -1 1484
-            1.6500000000000000e+01 -2 -3 1485 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3853626102209091e-02 -8.3327960968017578e-01
-            7.2281765937805176e-01 -9.6086347103118896e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3551895141601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1486 4.2500000000000000e+01 0 -1 1487
-            1.6500000000000000e+01 -2 -3 1488 3113.</internalNodes>
-          <leafValues>
-            1.6587443649768829e-01 -7.2913789749145508e-01
-            2.3857131600379944e-01 -5.4846972227096558e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3580631256103516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1489 6.7250000000000000e+02 0 -1 1490
-            7.5000000000000000e+00 -2 -3 1491 837.</internalNodes>
-          <leafValues>
-            1.3001777231693268e-01 -3.4062203764915466e-01
-            7.6844960451126099e-01 -8.4330815076828003e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3759922027587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1492 2.1500000000000000e+01 0 -1 1493 532. -2 -3 1494
-            86.</internalNodes>
-          <leafValues>
-            5.4001174867153168e-02 -8.4960693120956421e-01
-            1.7928951978683472e-01 -7.8450816869735718e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3247550964355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1495 1.0250000000000000e+02 0 -1 1496
-            1.2625000000000000e+03 -2 -3 1497 2.0350000000000000e+02</internalNodes>
-          <leafValues>
-            1.9308057427406311e-01 -5.1236999034881592e-01
-            8.4804421663284302e-01 -1.5160441398620605e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3225006103515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1498 6.1500000000000000e+01 0 -1 1499
-            5.3500000000000000e+01 -2 -3 1500 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6829484701156616e-01 -3.3058983087539673e-01
-            -5.5838876962661743e-01 6.2332850694656372e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3475452423095703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1501 4.5000000000000000e+00 0 -1 1502
-            5.0000000000000000e-01 -2 -3 1503 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.6208763122558594e-01 2.5044605135917664e-01
-            -1.8800856173038483e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3413291931152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1504 4.2500000000000000e+01 0 -1 1505
-            1.5000000000000000e+00 -2 -3 1506 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.7652784287929535e-01 -7.1506422758102417e-01
-            5.3353041410446167e-01 -6.2163762748241425e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3426036834716797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1507 1.2500000000000000e+01 0 -1 1508
-            4.5000000000000000e+00 -2 -3 1509 1.2650000000000000e+02</internalNodes>
-          <leafValues>
-            -5.9280592203140259e-01 1.2747475877404213e-02
-            5.8372533321380615e-01 -5.3357934951782227e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3327178955078125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1510 5.0000000000000000e-01 0 -1 1511
-            3.7850000000000000e+02 -2 -3 1512 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1. -8.2863241434097290e-01 4.0927416086196899e-01
-            -9.8856933414936066e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3500465393066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1513 1.0500000000000000e+01 0 -1 1514
-            1.0500000000000000e+01 -2 -3 1515 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8380420207977295e-01 1.7328330874443054e-01
-            -5.4674810171127319e-01 5.4331338405609131e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3262767791748047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1516 8.5000000000000000e+00 0 -1 1517
-            8.5000000000000000e+00 -2 -3 1518 4.2450000000000000e+02</internalNodes>
-          <leafValues>
-            1.9536088407039642e-01 -3.2009023427963257e-01
-            -2.3769624531269073e-01 7.3672533035278320e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3368907928466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1519 2.0850000000000000e+02 0 -1 1520
-            8.6750000000000000e+02 -2 -3 1521 4.1750000000000000e+02</internalNodes>
-          <leafValues>
-            1.0613936930894852e-01 -5.0724560022354126e-01
-            6.2702029943466187e-01 -3.7619924545288086e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3184082031250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1522 9.4950000000000000e+02 0 -1 1523
-            4.3150000000000000e+02 -2 -3 1524 3828.</internalNodes>
-          <leafValues>
-            -1.8482613563537598e-01 5.3871124982833862e-01
-            8.1260812282562256e-01 -4.5530861616134644e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3174217224121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1525 1.3150000000000000e+02 0 -1 1526 11. -2 -3 1527
-            7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.0531766414642334e-01 1. 5.7230138778686523e-01
-            -9.8625309765338898e-03</leafValues></_>
-        <_>
-          <treeThreshold>3.3909645080566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1528 7.5500000000000000e+01 0 -1 1529
-            7.5000000000000000e+00 -2 -3 1530 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.7431867122650146e-01 5.3473585844039917e-01
-            7.9259443283081055e-01 -4.4027620553970337e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4323459625244141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1531 5.0000000000000000e-01 0 -1 1532
-            7.5000000000000000e+00 -2 -3 1533 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9457572698593140e-01 4.1381478309631348e-01
-            1.8358568847179413e-01 -4.2741861939430237e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4429889678955078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1534 1.5000000000000000e+00 0 -1 1535
-            3.4500000000000000e+01 -2 -3 1536 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.6454531252384186e-01 4.1743850708007812e-01
-            2.9410120844841003e-01 -5.4460191726684570e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4504367828369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1537 1.5000000000000000e+00 0 -1 1538
-            1.5000000000000000e+00 -2 -3 1539 131.</internalNodes>
-          <leafValues>
-            -8.7539535760879517e-01 1.8415120244026184e-01
-            6.7155694961547852e-01 -6.1099171638488770e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4405834197998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1540 2.5000000000000000e+00 0 -1 1541
-            8.5000000000000000e+00 -2 -3 1542 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.8270038366317749e-01 -6.7336601018905640e-01
-            -5.2773851901292801e-02 4.8054438829421997e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3936424255371094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1543 2.9500000000000000e+01 0 -1 1544
-            1.2500000000000000e+01 -2 -3 1545 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4647983312606812e-01 5.5897259712219238e-01
-            -5.1516854763031006e-01 5.5205401033163071e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4420852661132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1546 5.8550000000000000e+02 0 -1 1547 2604. -2 -3 1548
-            8.3550000000000000e+02</internalNodes>
-          <leafValues>
-            -4.0185336023569107e-02 6.1351525783538818e-01
-            -6.8721204996109009e-01 6.8576447665691376e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4590526580810547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1549 5.0000000000000000e-01 0 -1 1550
-            1.3500000000000000e+01 -2 -3 1551 1.1275000000000000e+03</internalNodes>
-          <leafValues>
-            4.7516748309135437e-01 -7.4518758058547974e-01
-            5.2697926759719849e-01 -2.4679833650588989e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4543453216552734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1552 3.9050000000000000e+02 0 -1 1553
-            1.0615000000000000e+03 -2 -3 1554 3.9250000000000000e+02</internalNodes>
-          <leafValues>
-            2.9955598711967468e-01 -6.5189003944396973e-01
-            6.8155354261398315e-01 -4.7070294618606567e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4947910308837891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1555 4.5000000000000000e+00 0 -1 1556
-            5.5000000000000000e+00 -2 -3 1557 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.3386736512184143e-01 2.5060659646987915e-01
-            5.0304436683654785e-01 -1.0806567221879959e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4923019409179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1558 1.4750000000000000e+02 0 -1 1559
-            2.3500000000000000e+01 -2 -3 1560 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.4892834946513176e-02 6.8752646446228027e-01 1.
-            -9.7205096483230591e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5048244476318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1561 3.5000000000000000e+00 0 -1 1562
-            3.0750000000000000e+02 -2 -3 1563 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.9125630855560303e-01 7.2282445430755615e-01
-            3.2094714045524597e-01 -1.5550766885280609e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5228321075439453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1564 1.5500000000000000e+01 0 -1 1565
-            5.5000000000000000e+00 -2 -3 1566 2.8550000000000000e+02</internalNodes>
-          <leafValues>
-            2.4254414439201355e-01 -6.7788332700729370e-01
-            3.4273535013198853e-01 -1.6169185936450958e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5199493408203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1567 5.4150000000000000e+02 0 -1 1568
-            1.8500000000000000e+01 -2 -3 1569 2.7150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4225193262100220e-01 6.0149985551834106e-01
-            7.5373405218124390e-01 -2.8824761509895325e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.5414993286132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1570 4.0500000000000000e+01 0 -1 1571
-            1.1500000000000000e+01 -2 -3 1572 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5218327641487122e-01 2.1549758315086365e-01
-            6.7104452848434448e-01 -6.4186567068099976e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5637798309326172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1573 4.5000000000000000e+00 0 -1 1574
-            5.0000000000000000e-01 -2 -3 1575 213.</internalNodes>
-          <leafValues>
-            4.5747065544128418e-01 -1.1402392387390137e-01
-            -5.1459467411041260e-01 3.0709332227706909e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4993129730224609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1576 1.5000000000000000e+00 0 -1 1577
-            2.1500000000000000e+01 -2 -3 1578 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.2895491123199463e-01 5.6356453895568848e-01
-            3.3972936868667603e-01 -1.1984481662511826e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4690479278564453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1579 6.5000000000000000e+00 0 -1 1580
-            1.3500000000000000e+01 -2 -3 1581 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0508207082748413e-01 2.4323509633541107e-01
-            4.7208204865455627e-01 -3.0265063047409058e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5325695037841797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1582 3.8500000000000000e+01 0 -1 1583
-            4.5000000000000000e+00 -2 -3 1584 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4407665729522705e-01 6.3521623611450195e-01
-            -7.4727159738540649e-01 3.3814178314059973e-03</leafValues></_>
-        <_>
-          <treeThreshold>3.5522109985351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1585 1.7500000000000000e+01 0 -1 1586
-            4.5000000000000000e+00 -2 -3 1587 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9393294602632523e-02 6.1425513029098511e-01
-            2.7176653966307640e-02 -9.3371254205703735e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5375267028808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1588 6.9950000000000000e+02 0 -1 1589
-            3.0785000000000000e+03 -2 -3 1590 1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.6790051013231277e-02 8.1265693902969360e-01
-            8.6606562137603760e-01 -2.8514975309371948e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5136772155761719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1591 3.3450000000000000e+02 0 -1 1592
-            2.0650000000000000e+02 -2 -3 1593 4516.</internalNodes>
-          <leafValues>
-            -2.3849676549434662e-01 2.2256006300449371e-01
-            9.2165148258209229e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.5608299255371094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1594 6.8050000000000000e+02 0 -1 1595
-            1.9150000000000000e+02 -2 -3 1596 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.6031120419502258e-01 5.1092636585235596e-01
-            -2.5612125173211098e-03 -7.0145553350448608e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5747840881347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1597 2.0500000000000000e+01 0 -1 1598
-            3.5000000000000000e+00 -2 -3 1599 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8568515777587891e-01 1.3954034447669983e-01
-            -9.1864973306655884e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>3.5924507141113281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1600 5.0000000000000000e-01 0 -1 1601
-            9.5000000000000000e+00 -2 -3 1602 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.1799489259719849e-01 5.5782216787338257e-01
-            1.3727062940597534e-01 -4.3257597088813782e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6171756744384766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1603 2.2365000000000000e+03 0 -1 1604
-            1.4500000000000000e+01 -2 -3 1605 3.9185000000000000e+03</internalNodes>
-          <leafValues>
-            -8.6497288942337036e-01 4.3238922953605652e-01
-            -7.1348220109939575e-01 5.0993368029594421e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6158969879150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1606 1.0350000000000000e+02 0 -1 1607
-            3.0750000000000000e+02 -2 -3 1608 9.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.2786464765667915e-02 6.7020785808563232e-01
-            5.7271671295166016e-01 -6.4090871810913086e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6213565826416016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1609 1.5000000000000000e+00 0 -1 1610
-            2.8500000000000000e+01 -2 -3 1611 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0467820167541504e-01 -6.0481971502304077e-01
-            -4.2102476954460144e-01 3.8542380928993225e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6608585357666016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1612 3.0500000000000000e+01 0 -1 1613
-            1.3500000000000000e+01 -2 -3 1614 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7328640222549438e-01 2.6755025982856750e-01
-            7.0540744066238403e-01 -5.6723617017269135e-03</leafValues></_>
-        <_>
-          <treeThreshold>3.6375709533691406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1615 1.8285000000000000e+03 0 -1 1616
-            8.7500000000000000e+01 -2 -3 1617 42.</internalNodes>
-          <leafValues>
-            -6.4856064319610596e-01 2.1328862011432648e-01
-            -6.6769516468048096e-01 3.2830646634101868e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6277973175048828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1618 6.5500000000000000e+01 0 -1 1619
-            4.5000000000000000e+00 -2 -3 1620 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.5578959584236145e-01 -9.7738876938819885e-02
-            8.4200102090835571e-01 -9.1339147090911865e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6741077423095703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1621 7.1500000000000000e+01 0 -1 1622 582. -2 -3 1623
-            9.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.9926805794239044e-01 7.7841401100158691e-01
-            6.1977410316467285e-01 -7.0222705602645874e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6163764953613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1624 6.5000000000000000e+00 0 -1 1625
-            9.5000000000000000e+00 -2 -3 1626 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.5611216723918915e-02 -7.3398101329803467e-01
-            5.7343614101409912e-01 -8.4580868482589722e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.5979099273681641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1627 5.0000000000000000e-01 0 -1 1628
-            2.8500000000000000e+01 -2 -3 1629 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3677574396133423e-01 1. 2.6836359500885010e-01
-            -1.8466624617576599e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6264331817626953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1630 3.5000000000000000e+00 0 -1 1631
-            1.8500000000000000e+01 -2 -3 1632 2.9050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.7591027021408081e-01 2.5618145242333412e-02
-            -5.2080082893371582e-01 2.8523272275924683e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6717056274414062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1633 1.9850000000000000e+02 0 -1 1634
-            1.5000000000000000e+00 -2 -3 1635 7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0299407839775085e-01 4.5272570848464966e-01
-            -4.2182067036628723e-01 5.7546317577362061e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6786354064941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1636 1.5000000000000000e+00 0 -1 1637
-            8.5000000000000000e+00 -2 -3 1638 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9297738373279572e-02 8.4946548938751221e-01
-            9.1040611267089844e-02 -6.2724369764328003e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6694664001464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1639 2.0650000000000000e+02 0 -1 1640
-            1.1365000000000000e+03 -2 -3 1641 8.2250000000000000e+02</internalNodes>
-          <leafValues>
-            6.2211245298385620e-02 -5.6873995065689087e-01
-            8.5862481594085693e-01 4.4243175536394119e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.7021118164062500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1642 3.5000000000000000e+00 0 -1 1643 39. -2 -3 1644
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3912738561630249e-01 1. 3.4181830286979675e-01
-            -1.2874929606914520e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6611862182617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1645 1.0500000000000000e+01 0 -1 1646
-            1.5000000000000000e+00 -2 -3 1647 6.9500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9203957915306091e-02 -4.2461958527565002e-01
-            5.7738226652145386e-01 -5.9804332256317139e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6779636383056641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1648 2.5000000000000000e+00 0 -1 1649
-            5.0000000000000000e-01 -2 -3 1650 234.</internalNodes>
-          <leafValues>
-            4.4199943542480469e-01 -8.0851018428802490e-01
-            1.6777423024177551e-01 -7.7587896585464478e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6986980438232422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1651 6.7500000000000000e+01 0 -1 1652
-            8.5000000000000000e+00 -2 -3 1653 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.9858379662036896e-01 -6.2078595161437988e-01
-            4.7864001989364624e-01 -2.1115007996559143e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6953456878662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1654 2.0500000000000000e+01 0 -1 1655
-            8.5000000000000000e+00 -2 -3 1656 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3770077228546143e-01 6.1488139629364014e-01
-            5.4403012990951538e-01 -3.3521864563226700e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6882488250732422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1657 8.5000000000000000e+00 0 -1 1658
-            4.5000000000000000e+00 -2 -3 1659 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.9511338472366333e-01 4.1009962558746338e-01
-            -7.7284365892410278e-01 -7.0968911051750183e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6566123962402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1660 2.5000000000000000e+00 0 -1 1661
-            3.5000000000000000e+00 -2 -3 1662 6.7050000000000000e+02</internalNodes>
-          <leafValues>
-            -3.1636568903923035e-01 4.0465784072875977e-01
-            -3.5978075861930847e-01 8.2645517587661743e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6930900573730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1663 6.5000000000000000e+00 0 -1 1664
-            2.5000000000000000e+00 -2 -3 1665 2.3085000000000000e+03</internalNodes>
-          <leafValues>
-            1.4922286570072174e-01 -5.1194334030151367e-01
-            3.6477506160736084e-01 -9.7712445259094238e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7481365203857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1666 5.0000000000000000e-01 0 -1 1667
-            6.0500000000000000e+01 -2 -3 1668 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5046468973159790e-01 -7.3915064334869385e-01
-            5.6669384241104126e-02 -4.9786236882209778e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6951145172119141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1669 7.5500000000000000e+01 0 -1 1670
-            3.1795000000000000e+03 -2 -3 1671 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3021740913391113e-01 4.7902247309684753e-01
-            -7.1032661199569702e-01 3.0279389023780823e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7264873504638672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1672 9.5000000000000000e+00 0 -1 1673
-            8.5000000000000000e+00 -2 -3 1674 1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6093446016311646e-01 3.1372815370559692e-01
-            2.2579427063465118e-01 -5.3932684659957886e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6978828430175781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1675 5.0000000000000000e-01 0 -1 1676
-            2.5000000000000000e+00 -2 -3 1677 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1832169294357300e-01 5.6083697080612183e-01
-            -2.8604489564895630e-01 5.8539152145385742e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7433582305908203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1678 5.0000000000000000e-01 0 -1 1679
-            2.5000000000000000e+00 -2 -3 1680 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -4.0517255663871765e-01 4.5475342869758606e-01
-            -5.2229130268096924e-01 1.9754523038864136e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7154258728027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1681 4.7500000000000000e+01 0 -1 1682
-            3.6500000000000000e+01 -2 -3 1683 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.5602896809577942e-01 6.7287951707839966e-01
-            -8.5228067636489868e-01 -3.6258939653635025e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.7732418060302734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1684 5.0000000000000000e-01 0 -1 1685
-            5.0000000000000000e-01 -2 -3 1686 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8009887933731079e-01 5.7815653085708618e-01
-            1.2634699046611786e-01 -4.1870203614234924e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8184680938720703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1687 7.4500000000000000e+01 0 -1 1688
-            1.6500000000000000e+01 -2 -3 1689 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0109759569168091e-01 6.5756392478942871e-01
-            4.5226430892944336e-01 -1.4041431248188019e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8030368804931641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1690 4.8500000000000000e+01 0 -1 1691
-            5.0000000000000000e-01 -2 -3 1692 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0716988444328308e-01 -1.5431092679500580e-01
-            -9.8855167627334595e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>3.8261077880859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1693 1.5000000000000000e+00 0 -1 1694
-            1.5500000000000000e+01 -2 -3 1695 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7608674764633179e-01 1.1198835074901581e-01
-            2.3070898652076721e-01 -3.3017936348915100e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8477287292480469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1696 8.1500000000000000e+01 0 -1 1697
-            1.2500000000000000e+01 -2 -3 1698 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0018079280853271e-01 2.1620990335941315e-01
-            2.7798384428024292e-01 -8.1539762020111084e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8031333923339844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1699 5.0000000000000000e-01 0 -1 1700
-            5.5000000000000000e+00 -2 -3 1701 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3561244606971741e-01 -3.4119588136672974e-01
-            -4.4595631957054138e-01 4.6959918737411499e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8664794921875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1702 2.1450000000000000e+02 0 -1 1703
-            1.5455000000000000e+03 -2 -3 1704 1945.</internalNodes>
-          <leafValues>
-            1.7302942276000977e-01 -3.7786087393760681e-01
-            6.3346213102340698e-01 -4.5024818181991577e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8027435302734375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1705 1917. 0 -1 1706 2.5500000000000000e+01 -2 -3 1707
-            6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3735866546630859e-01 4.2439568042755127e-01
-            2.5472366809844971e-01 -3.8954088091850281e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7680835723876953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1708 2.5000000000000000e+00 0 -1 1709
-            5.0000000000000000e-01 -2 -3 1710 3.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.1873381137847900e-01 9.3474626541137695e-02
-            -3.4660163521766663e-01 2.3065857589244843e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7860221862792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1711 1.5000000000000000e+00 0 -1 1712
-            1.4500000000000000e+01 -2 -3 1713 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.3702151775360107e-01 -5.0781750679016113e-01
-            -3.6291462182998657e-01 1.7938588559627533e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7817699432373047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1714 2.2375000000000000e+03 0 -1 1715
-            4.3350000000000000e+02 -2 -3 1716 5.6150000000000000e+02</internalNodes>
-          <leafValues>
-            1. -9.8823112249374390e-01 6.7233330011367798e-01
-            -4.2519930750131607e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8362960815429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1717 5.0000000000000000e-01 0 -1 1718
-            2.5000000000000000e+00 -2 -3 1719 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0525264739990234e-01 5.4526209831237793e-01
-            -9.1778365895152092e-03 -5.8029389381408691e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8116054534912109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1720 2.9500000000000000e+01 0 -1 1721 67. -2 -3 1722
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.5948269516229630e-02 -8.6365360021591187e-01
-            3.1721633672714233e-01 -2.4690923094749451e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8210441589355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1723 2.5000000000000000e+00 0 -1 1724
-            5.0000000000000000e-01 -2 -3 1725 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.6925474405288696e-01 3.7546786665916443e-01
-            -6.4338034391403198e-01 9.4390012323856354e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8725402832031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1726 9.7550000000000000e+02 0 -1 1727 1522. -2 -3 1728
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.5166552066802979e-01 5.1495945453643799e-01
-            1.2304825335741043e-01 -4.3339455127716064e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8775840759277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1729 2.0550000000000000e+02 0 -1 1730
-            1.2850000000000000e+02 -2 -3 1731 2.0150000000000000e+02</internalNodes>
-          <leafValues>
-            6.9701796770095825e-01 -3.2005232572555542e-01
-            8.7860846519470215e-01 5.0437152385711670e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.9036373138427734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1732 6.4500000000000000e+01 0 -1 1733
-            7.5000000000000000e+00 -2 -3 1734 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3216791152954102e-01 2.6053419709205627e-01
-            5.1989716291427612e-01 -5.8972364664077759e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9175300598144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1735 1.0650000000000000e+02 0 -1 1736
-            4.5000000000000000e+00 -2 -3 1737 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3538964986801147e-01 -3.6743223667144775e-01
-            -9.1809195280075073e-01 4.5017480850219727e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8801700592041016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1738 5.0000000000000000e-01 0 -1 1739
-            3.5000000000000000e+00 -2 -3 1740 452.</internalNodes>
-          <leafValues>
-            -6.3299810886383057e-01 3.3003783226013184e-01
-            -3.7360009551048279e-01 5.6999093294143677e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8591518402099609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1741 8.2750000000000000e+02 0 -1 1742
-            2.5000000000000000e+00 -2 -3 1743 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.1018461883068085e-01 3.2383358478546143e-01
-            -6.3107532262802124e-01 6.6837269067764282e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8231525421142578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1744 4.5000000000000000e+00 0 -1 1745
-            6.5000000000000000e+00 -2 -3 1746 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0509510636329651e-01 5.1145386695861816e-01
-            -3.5999137163162231e-01 3.2099997997283936e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8624534606933594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1747 1.5000000000000000e+00 0 -1 1748
-            5.8350000000000000e+02 -2 -3 1749 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.2885985970497131e-01 3.9300963282585144e-01
-            3.1521242856979370e-01 -4.1773849725723267e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8236549377441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1750 7.5000000000000000e+00 0 -1 1751
-            7.5000000000000000e+00 -2 -3 1752 1.9950000000000000e+02</internalNodes>
-          <leafValues>
-            -5.7202762365341187e-01 5.4747480154037476e-01
-            -4.2250210046768188e-01 2.7025526762008667e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7923248291015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1753 1.5000000000000000e+00 0 -1 1754
-            6.5000000000000000e+00 -2 -3 1755 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9815288782119751e-01 5.5224311351776123e-01
-            2.6080465316772461e-01 -3.1330034136772156e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8539402008056641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1756 1.3500000000000000e+01 0 -1 1757
-            3.5000000000000000e+00 -2 -3 1758 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9568208158016205e-02 -5.1092988252639771e-01
-            -3.6775493621826172e-01 6.1615198850631714e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8752826690673828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1759 3.2500000000000000e+01 0 -1 1760
-            6.5000000000000000e+00 -2 -3 1761 48.</internalNodes>
-          <leafValues>
-            -4.1952580213546753e-01 2.1342341601848602e-01
-            -7.1763622760772705e-01 6.4490622282028198e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9317680358886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1762 9.6500000000000000e+01 0 -1 1763 5677. -2 -3 1764
-            1.0650000000000000e+02</internalNodes>
-          <leafValues>
-            -5.0442606210708618e-01 5.6485664844512939e-01
-            -3.6739125847816467e-01 2.7350792288780212e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9856521606445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1765 1.1655000000000000e+03 0 -1 1766
-            1.5000000000000000e+00 -2 -3 1767 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9167502522468567e-01 -2.5601682066917419e-01
-            -4.5866334438323975e-01 5.3884023427963257e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9749794006347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1768 7.5000000000000000e+00 0 -1 1769
-            4.5000000000000000e+00 -2 -3 1770 4.4150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.4176965951919556e-01 8.0333167314529419e-01
-            -1.0673010349273682e-01 4.1367250680923462e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9065311431884766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1771 1.3775000000000000e+03 0 -1 1772
-            1.7500000000000000e+01 -2 -3 1773 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.1831207275390625e-01 1.8878687918186188e-01
-            -6.8447953462600708e-01 8.3450621366500854e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8689537048339844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1774 5.0000000000000000e-01 0 -1 1775
-            5.0000000000000000e-01 -2 -3 1776 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.6729511022567749e-01 3.4363251924514771e-01
-            5.8898377418518066e-01 -3.7577590346336365e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9216602325439453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1777 9.4500000000000000e+01 0 -1 1778
-            8.5000000000000000e+00 -2 -3 1779 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.7156268507242203e-02 5.2706509828567505e-01
-            -8.3782976865768433e-01 5.0827115774154663e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9576519012451172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1780 5.0000000000000000e-01 0 -1 1781
-            4.5000000000000000e+00 -2 -3 1782 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5766177177429199e-01 3.5991629958152771e-01
-            -6.7030203342437744e-01 1.3232802040874958e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.9719017028808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1783 1.3750000000000000e+02 0 -1 1784
-            3.7550000000000000e+02 -2 -3 1785 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2470282316207886e-01 4.7786307334899902e-01
-            1.4250029623508453e-01 -3.8374659419059753e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9720008850097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1786 1.9850000000000000e+02 0 -1 1787
-            5.0000000000000000e-01 -2 -3 1788 9.8500000000000000e+01</internalNodes>
-          <leafValues>
-            8.0348841845989227e-02 -7.2714608907699585e-01
-            6.6121768951416016e-01 9.8916271235793829e-04</leafValues></_>
-        <_>
-          <treeThreshold>4.0004077911376953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1789 4.5000000000000000e+00 0 -1 1790
-            7.5000000000000000e+00 -2 -3 1791 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.8407061100006104e-01 -3.8908326625823975e-01
-            -4.9514287710189819e-01 4.9839928746223450e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9917087554931641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1792 3.2500000000000000e+01 0 -1 1793
-            5.0000000000000000e-01 -2 -3 1794 585.</internalNodes>
-          <leafValues>
-            4.2522689700126648e-01 -8.6992330849170685e-02
-            -8.7693715095520020e-01 4.2241948843002319e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9895332336425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1795 2.5000000000000000e+00 0 -1 1796 14. -2 -3 1797
-            8.0150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8761204481124878e-01 8.5713702440261841e-01
-            7.2065353393554688e-01 -2.1752236410975456e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.9827915191650391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1798 2.5000000000000000e+00 0 -1 1799
-            3.5000000000000000e+00 -2 -3 1800 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.2021051645278931e-01 3.5183283686637878e-01
-            4.9634662270545959e-01 -6.7418396472930908e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.9946743011474609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1801 1.3950000000000000e+02 0 -1 1802
-            1.0500000000000000e+01 -2 -3 1803 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8266421556472778e-01 1.1882679909467697e-01 1.
-            -9.5458626747131348e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0323368072509766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1804 3.3500000000000000e+01 0 -1 1805
-            5.1500000000000000e+01 -2 -3 1806 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3636894822120667e-01 8.2073229551315308e-01
-            3.7662777304649353e-01 -2.6059541106224060e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0958503723144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1807 3.5000000000000000e+00 0 -1 1808
-            1.5000000000000000e+00 -2 -3 1809 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.2758090496063232e-01 -5.6749087572097778e-01
-            2.7914678212255239e-03 6.3513386249542236e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1149982452392578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1810 1.6500000000000000e+01 0 -1 1811
-            3.4500000000000000e+01 -2 -3 1812 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9147972762584686e-01 -4.0481618046760559e-01
-            -7.6606553792953491e-01 4.8341959714889526e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1291107177734375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1813 5.0000000000000000e-01 0 -1 1814
-            9.2500000000000000e+01 -2 -3 1815 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.8004845976829529e-01 3.2247513532638550e-01
-            -4.3766206502914429e-01 3.7250506877899170e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1338165283203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1816 8.5000000000000000e+00 0 -1 1817
-            1.4975000000000000e+03 -2 -3 1818 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4030120372772217e-01 -6.2127673625946045e-01
-            -7.3714929819107056e-01 -2.8116470202803612e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.0824058532714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1819 1.0150000000000000e+02 0 -1 1820
-            5.0000000000000000e-01 -2 -3 1821 8.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.3742440938949585e-01 -5.1410740613937378e-01
-            3.9086878299713135e-01 -5.1371574401855469e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1013961791992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1822 3.8500000000000000e+01 0 -1 1823
-            5.1350000000000000e+02 -2 -3 1824 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.4827082753181458e-01 -6.4318430423736572e-01
-            -8.9208698272705078e-01 1.8990385532379150e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1263370513916016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1825 4.5000000000000000e+00 0 -1 1826
-            1.6500000000000000e+01 -2 -3 1827 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.4878937005996704e-01 2.4940766394138336e-01
-            1.2522089295089245e-02 -6.5872979164123535e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1767433166503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1828 5.0000000000000000e-01 0 -1 1829
-            2.8050000000000000e+02 -2 -3 1830 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.0406265258789062e-01 -8.8616244494915009e-02
-            -3.4679779410362244e-01 9.0911424160003662e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1977439880371094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1831 1.5000000000000000e+00 0 -1 1832
-            1.5000000000000000e+00 -2 -3 1833 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0890017747879028e-01 4.2208892107009888e-01
-            -6.2434047460556030e-01 -4.6953088603913784e-03</leafValues></_>
-        <_>
-          <treeThreshold>4.1689002990722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1834 8.5000000000000000e+00 0 -1 1835
-            9.5000000000000000e+00 -2 -3 1836 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0051945447921753e-01 2.1112911403179169e-01
-            6.0711330175399780e-01 -1.2307582795619965e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2047183990478516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1837 1.2500000000000000e+01 0 -1 1838
-            4.5000000000000000e+00 -2 -3 1839 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6009265184402466e-01 3.5818198323249817e-01
-            -3.3626151084899902e-01 8.4897673130035400e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2214286804199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1840 1.4500000000000000e+01 0 -1 1841
-            7.2500000000000000e+01 -2 -3 1842 3.2650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1858340501785278e-01 1.6710358858108521e-01
-            2.8976836800575256e-01 -7.7849155664443970e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2179775238037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1843 7.5000000000000000e+00 0 -1 1844
-            2.1500000000000000e+01 -2 -3 1845 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.8530772626399994e-01 3.5436087846755981e-01
-            -6.8795353174209595e-01 3.3058721572160721e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.2268901824951172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1846 3.9865000000000000e+03 0 -1 1847
-            9.5000000000000000e+00 -2 -3 1848 50.</internalNodes>
-          <leafValues>
-            -8.7134647369384766e-01 8.9125812053680420e-02
-            -9.8863673210144043e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.2169776916503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1849 1.5000000000000000e+00 0 -1 1850
-            1.5000000000000000e+00 -2 -3 1851 3531.</internalNodes>
-          <leafValues>
-            4.0612372756004333e-01 -3.0086937546730042e-01
-            -4.4789454340934753e-01 1.9873715937137604e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1840965270996094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1852 6.5000000000000000e+00 0 -1 1853
-            1.3500000000000000e+01 -2 -3 1854 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2881295680999756e-01 2.9842245578765869e-01
-            6.5677136182785034e-01 -1.4609988033771515e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1779693603515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1855 1.7500000000000000e+01 0 -1 1856
-            6.2550000000000000e+02 -2 -3 1857 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6628248691558838e-01 -4.2457789182662964e-01
-            -5.6651604175567627e-01 7.6269887387752533e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.1834537506103516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1858 9.5450000000000000e+02 0 -1 1859
-            5.1585000000000000e+03 -2 -3 1860 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.7174881696701050e-01 -5.5098003149032593e-01
-            -5.3131961822509766e-01 5.4840639233589172e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.1514595031738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1861 1.9050000000000000e+02 0 -1 1862 198. -2 -3 1863
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0632820129394531e-01 6.2302565574645996e-01
-            2.2914041578769684e-01 -3.1994026899337769e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1677814483642578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1864 1.4500000000000000e+01 0 -1 1865
-            8.5000000000000000e+00 -2 -3 1866 1.6450000000000000e+02</internalNodes>
-          <leafValues>
-            -5.9017485380172729e-01 7.7795445919036865e-01
-            1.6321752965450287e-01 -9.1361731290817261e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1670925140380859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1867 1.5000000000000000e+00 0 -1 1868
-            2.5000000000000000e+00 -2 -3 1869 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7524507045745850e-01 3.3760032057762146e-01
-            -5.7039487361907959e-01 -6.8891793489456177e-03</leafValues></_>
-        <_>
-          <treeThreshold>4.2190979003906250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1870 1.5000000000000000e+00 0 -1 1871
-            3.0500000000000000e+01 -2 -3 1872 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2005475759506226e-01 -6.7560416460037231e-01
-            -2.8469097614288330e-01 4.6015539765357971e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2414993286132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1873 4.5350000000000000e+02 0 -1 1874
-            5.6250000000000000e+02 -2 -3 1875 1386.</internalNodes>
-          <leafValues>
-            2.2401304543018341e-01 -2.9675450921058655e-01
-            9.4739109277725220e-01 -3.2808578014373779e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2387161254882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1876 6.4500000000000000e+01 0 -1 1877
-            1.0150000000000000e+02 -2 -3 1878 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6874485015869141e-02 4.2865848541259766e-01
-            4.3658611178398132e-01 -5.8364778757095337e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2977474212646484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1879 1.5000000000000000e+00 0 -1 1880
-            3.4500000000000000e+01 -2 -3 1881 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.5992848277091980e-02 5.9031045436859131e-01
-            -3.2916188240051270e-01 5.4475629329681396e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2946041107177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1882 3.5000000000000000e+00 0 -1 1883
-            5.0000000000000000e-01 -2 -3 1884 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7138921022415161e-01 5.3535938262939453e-01
-            -8.3411961793899536e-01 -3.1432915478944778e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.3175075531005859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1885 5.1500000000000000e+01 0 -1 1886
-            9.5000000000000000e+00 -2 -3 1887 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2903612256050110e-01 -2.7770024538040161e-01
-            -9.0822434425354004e-01 5.1287508010864258e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3395133972167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1888 8.5000000000000000e+00 0 -1 1889
-            3.1500000000000000e+01 -2 -3 1890 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.6919294595718384e-01 2.2005747258663177e-01
-            -6.5205544233322144e-01 2.4285869300365448e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3123023986816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1891 5.0000000000000000e-01 0 -1 1892
-            2.3500000000000000e+01 -2 -3 1893 2.8950000000000000e+02</internalNodes>
-          <leafValues>
-            5.0510871410369873e-01 -4.2869842052459717e-01
-            2.8495252132415771e-01 -3.5368323326110840e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3039192199707031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1894 1.9450000000000000e+02 0 -1 1895
-            5.0000000000000000e-01 -2 -3 1896 1.9750000000000000e+02</internalNodes>
-          <leafValues>
-            2.6153838634490967e-01 -6.4255547523498535e-01
-            5.5495703220367432e-01 -8.3832859992980957e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.2904518127441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1897 8.5000000000000000e+00 0 -1 1898
-            4.8500000000000000e+01 -2 -3 1899 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5044608116149902e-01 6.8186897039413452e-01
-            3.7062332034111023e-01 -1.3467402756214142e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3051071166992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1900 7.5000000000000000e+00 0 -1 1901 27. -2 -3 1902
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.0564457178115845e-01 -8.3087015151977539e-01
-            -6.9865477085113525e-01 1.4655402302742004e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3287654876708984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1903 1.5000000000000000e+00 0 -1 1904
-            5.4550000000000000e+02 -2 -3 1905 3.1650000000000000e+02</internalNodes>
-          <leafValues>
-            4.4309249520301819e-01 -4.8507699370384216e-01
-            -3.5189905762672424e-01 2.3658131062984467e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3207912445068359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1906 3.5500000000000000e+01 0 -1 1907
-            1.4500000000000000e+01 -2 -3 1908 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.9388571977615356e-01 3.0807968974113464e-01
-            4.9596279859542847e-01 -7.9740844666957855e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.3681106567382812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1909 8.3550000000000000e+02 0 -1 1910
-            5.0000000000000000e-01 -2 -3 1911 127.</internalNodes>
-          <leafValues>
-            4.7319233417510986e-01 -7.7726446092128754e-02
-            -6.6155201196670532e-01 8.7220698595046997e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3433261871337891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1912 6.5000000000000000e+00 0 -1 1913
-            1.6550000000000000e+02 -2 -3 1914 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.4153585433959961e-01 9.1551077365875244e-01
-            3.5053235292434692e-01 -2.4784129858016968e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3632259368896484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1915 9.5000000000000000e+00 0 -1 1916
-            5.5000000000000000e+00 -2 -3 1917 1.4015000000000000e+03</internalNodes>
-          <leafValues>
-            -3.0769789218902588e-01 1.9899617135524750e-01
-            5.1420164108276367e-01 -7.2247970104217529e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3781681060791016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1918 5.0000000000000000e-01 0 -1 1919
-            6.3500000000000000e+01 -2 -3 1920 285.</internalNodes>
-          <leafValues>
-            -9.4710224866867065e-01 -1.1491143703460693e-01
-            1.4942164719104767e-01 -9.0888887643814087e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3436016082763672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1921 3.5000000000000000e+00 0 -1 1922
-            2.5000000000000000e+00 -2 -3 1923 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1440989971160889e-01 -2.3126052320003510e-01
-            -3.4566339850425720e-01 6.5181219577789307e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3652484893798828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1924 7.5000000000000000e+00 0 -1 1925 10. -2 -3 1926
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -1. 2.1646568179130554e-01 -3.2139009237289429e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3613075256347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1927 3.5000000000000000e+00 0 -1 1928
-            4.0500000000000000e+01 -2 -3 1929 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.4087118506431580e-01 -7.6730841398239136e-01
-            6.0096609592437744e-01 -3.9409600198268890e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4572402954101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1930 9.5000000000000000e+00 0 -1 1931
-            1.6500000000000000e+01 -2 -3 1932 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.2820408344268799e-01 9.5932966470718384e-01
-            -4.1353395581245422e-01 2.8032150864601135e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4815895080566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1933 9.5000000000000000e+00 0 -1 1934
-            3.5000000000000000e+00 -2 -3 1935 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9567866921424866e-01 -1.5199808776378632e-01
-            -6.2261438369750977e-01 3.6078429222106934e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4723213195800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1936 9.7500000000000000e+01 0 -1 1937
-            1.3500000000000000e+01 -2 -3 1938 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2681065201759338e-02 5.0076460838317871e-01
-            -8.6433887481689453e-01 9.0161460638046265e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4693969726562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1939 7.0500000000000000e+01 0 -1 1940
-            7.9500000000000000e+01 -2 -3 1941 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.9245814308524132e-02 6.7543286085128784e-01
-            -9.3750089406967163e-01 8.4202694892883301e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4661819458007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1942 1.0050000000000000e+02 0 -1 1943
-            5.0000000000000000e-01 -2 -3 1944 2.0350000000000000e+02</internalNodes>
-          <leafValues>
-            2.5402522087097168e-01 -5.0677686929702759e-01
-            5.1687967777252197e-01 -2.2271750867366791e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4569755554199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1945 2.5000000000000000e+00 0 -1 1946
-            5.5000000000000000e+00 -2 -3 1947 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8248469829559326e-01 5.9973138570785522e-01
-            3.8618931174278259e-01 -9.2063978314399719e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4696201324462891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1948 9.5000000000000000e+00 0 -1 1949
-            5.0000000000000000e-01 -2 -3 1950 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.2644694745540619e-01 -3.0191975831985474e-01
-            -7.1231579780578613e-01 6.6510468721389771e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4841907501220703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1951 1.0500000000000000e+01 0 -1 1952 2. -2 -3 1953
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.4430450201034546e-01 -8.3156448602676392e-01
-            -6.2735277414321899e-01 1.4570562541484833e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5156547546386719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1954 3.5000000000000000e+00 0 -1 1955
-            1.3650000000000000e+02 -2 -3 1956 9.4500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4747160673141479e-01 -4.2295038700103760e-01
-            8.1315612792968750e-01 3.4540321677923203e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5181140899658203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1957 9.2500000000000000e+01 0 -1 1958
-            3.3500000000000000e+01 -2 -3 1959 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.5787394717335701e-02 5.7843238115310669e-01 1.
-            -6.4788794517517090e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5094200134277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1960 5.0000000000000000e-01 0 -1 1961 11. -2 -3 1962
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.4942219257354736e-01 -6.0185027122497559e-01
-            -1.5223936736583710e-01 5.9839087724685669e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4670524597167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1963 5.0000000000000000e-01 0 -1 1964
-            2.9500000000000000e+01 -2 -3 1965 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6831363439559937e-01 3.5105532407760620e-01
-            1.3558974862098694e-01 -4.2367911338806152e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5116874694824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1966 1.1150000000000000e+02 0 -1 1967
-            2.2385000000000000e+03 -2 -3 1968 2.2250000000000000e+02</internalNodes>
-          <leafValues>
-            2.0428524911403656e-01 -2.9593735933303833e-01
-            7.5892090797424316e-01 -4.3717506527900696e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5320117950439453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1969 1.4500000000000000e+01 0 -1 1970
-            5.0000000000000000e-01 -2 -3 1971 1.6850000000000000e+02</internalNodes>
-          <leafValues>
-            2.4405136704444885e-01 -7.4230778217315674e-01
-            2.0324403047561646e-01 -7.5181680917739868e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5513221740722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1972 1.6500000000000000e+01 0 -1 1973
-            4.3500000000000000e+01 -2 -3 1974 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.3427243232727051e-01 -9.3790411949157715e-01
-            1.9310376048088074e-01 -3.0972629785537720e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5484699249267578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1975 3.8150000000000000e+02 0 -1 1976
-            2.4500000000000000e+01 -2 -3 1977 1.9050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3647137880325317e-01 6.7275720834732056e-01
-            7.3206281661987305e-01 -2.8522776439785957e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5164001464843750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1978 5.5000000000000000e+00 0 -1 1979
-            1.5000000000000000e+00 -2 -3 1980 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.4569054543972015e-01 -3.2069975137710571e-01
-            -5.0144684314727783e-01 7.2659003734588623e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5379909515380859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1981 4.5000000000000000e+00 0 -1 1982
-            2.5000000000000000e+00 -2 -3 1983 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1976420134305954e-01 -7.3696619272232056e-01
-            -8.9609044790267944e-01 2.1590869128704071e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5552185058593750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1984 1.0500000000000000e+01 0 -1 1985
-            1.8500000000000000e+01 -2 -3 1986 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.9774469137191772e-01 3.9270588755607605e-01
-            1.7227473855018616e-01 -4.3705809116363525e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5424057006835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1987 4.5000000000000000e+00 0 -1 1988
-            2.5000000000000000e+00 -2 -3 1989 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0223541855812073e-01 -5.1850569248199463e-01
-            -5.7175463438034058e-01 3.2103583216667175e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4719905853271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1990 293. 0 -1 1991 4.5650000000000000e+02 -2 -3 1992
-            9.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0415091514587402e-01 1. 5.6420707702636719e-01
-            -1.8475128337740898e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4768821716308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1993 5.4050000000000000e+02 0 -1 1994
-            1.0105000000000000e+03 -2 -3 1995 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6306586265563965e-01 7.0629078149795532e-01
-            -4.8114392161369324e-01 4.8914406448602676e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4811882019042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1996 1.5000000000000000e+00 0 -1 1997
-            6.1500000000000000e+01 -2 -3 1998 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.2610383033752441e-01 -4.3679422140121460e-01
-            4.3062459677457809e-02 -5.0240081548690796e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4782844543457031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1999 2.3500000000000000e+01 0 -1 2000
-            1.0500000000000000e+01 -2 -3 2001 2.0750000000000000e+02</internalNodes>
-          <leafValues>
-            -4.0699142217636108e-01 4.2282894253730774e-01
-            -2.9037833213806152e-02 6.6520535945892334e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4953098297119141e+01</treeThreshold>
-          <internalNodes>
-            1 2 2002 1.5000000000000000e+00 0 -1 2003
-            4.5250000000000000e+02 -2 -3 2004 2.8150000000000000e+02</internalNodes>
-          <leafValues>
-            4.7697910666465759e-01 -4.2501795291900635e-01
-            1.7025266587734222e-01 -3.6029878258705139e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5256881713867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2005 3.8550000000000000e+02 0 -1 2006
-            1.9500000000000000e+01 -2 -3 2007 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4226761907339096e-02 -8.9648228883743286e-01
-            -2.1406635642051697e-01 3.0378299951553345e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4909713745117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2008 9.5000000000000000e+00 0 -1 2009
-            7.5000000000000000e+00 -2 -3 2010 1.8950000000000000e+02</internalNodes>
-          <leafValues>
-            -3.4716686606407166e-01 3.7112823128700256e-01
-            5.6419366598129272e-01 -3.5776185989379883e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5013404846191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2011 382. 0 -1 2012 4.5000000000000000e+00 -2 -3 2013
-            4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9492672681808472e-01 1.0369122773408890e-01
-            -9.3923377990722656e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.4988971710205078e+01</treeThreshold>
-          <internalNodes>
-            1 2 2014 5.5000000000000000e+00 0 -1 2015
-            1.9500000000000000e+01 -2 -3 2016 83.</internalNodes>
-          <leafValues>
-            -2.4434272199869156e-02 6.5366929769515991e-01
-            5.1018899679183960e-01 -5.0032502412796021e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5461128234863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2017 1.7500000000000000e+01 0 -1 2018
-            6.5000000000000000e+00 -2 -3 2019 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1140297912061214e-03 -7.2916007041931152e-01
-            4.7215846180915833e-01 -9.9503576755523682e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5421901702880859e+01</treeThreshold>
-          <internalNodes>
-            1 2 2020 3.8500000000000000e+01 0 -1 2021
-            1.9500000000000000e+01 -2 -3 2022 4.1350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.9226554334163666e-02 6.2177938222885132e-01
-            4.9934285879135132e-01 -8.5462218523025513e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5579975128173828e+01</treeThreshold>
-          <internalNodes>
-            1 2 2023 4.5000000000000000e+00 0 -1 2024
-            1.2500000000000000e+01 -2 -3 2025 6.0750000000000000e+02</internalNodes>
-          <leafValues>
-            1.5807190537452698e-01 -4.8279589414596558e-01
-            -7.0834666490554810e-02 5.2963757514953613e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5701972961425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2026 2.5500000000000000e+01 0 -1 2027
-            4.5000000000000000e+00 -2 -3 2028 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2199875712394714e-01 -4.4052368402481079e-01
-            4.9520158767700195e-01 -7.6688897609710693e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6094631195068359e+01</treeThreshold>
-          <internalNodes>
-            1 2 2029 1.3500000000000000e+01 0 -1 2030
-            3.3500000000000000e+01 -2 -3 2031 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.6773444414138794e-01 2.0011912286281586e-01
-            3.9265581965446472e-01 -1.3401876389980316e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5980365753173828e+01</treeThreshold>
-          <internalNodes>
-            1 2 2032 7.5000000000000000e+00 0 -1 2033
-            6.8500000000000000e+01 -2 -3 2034 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -1. 3.8803017139434814e-01 -1.1426544934511185e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5323959350585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2035 6.4500000000000000e+01 0 -1 2036
-            5.0000000000000000e-01 -2 -3 2037 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.5640282630920410e-01 1.7750787734985352e-01
-            -6.4647871255874634e-01 7.0243728160858154e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5314762115478516e+01</treeThreshold>
-          <internalNodes>
-            1 2 2038 3.1050000000000000e+02 0 -1 2039
-            9.2250000000000000e+02 -2 -3 2040 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1993892565369606e-03 8.6791253089904785e-01
-            2.0070725679397583e-01 -7.1457195281982422e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5741744995117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2041 4.5000000000000000e+00 0 -1 2042
-            8.5000000000000000e+00 -2 -3 2043 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.7333619594573975e-01 4.2698273062705994e-01
-            -3.3845084905624390e-01 4.5299550890922546e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5397357940673828e+01</treeThreshold>
-          <internalNodes>
-            1 2 2044 5.0000000000000000e-01 0 -1 2045 673. -2 -3 2046
-            99.</internalNodes>
-          <leafValues>
-            3.5919088125228882e-01 -4.5086368918418884e-01
-            -3.4438827633857727e-01 6.0893869400024414e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6037506103515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2047 1.9450000000000000e+02 0 -1 2048 23. -2 -3 2049
-            2.9350000000000000e+02</internalNodes>
-          <leafValues>
-            -7.0736461877822876e-01 3.2864594459533691e-01
-            6.4014822244644165e-01 -5.0045125186443329e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6086334228515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2050 1.7315000000000000e+03 0 -1 2051
-            7.5000000000000000e+00 -2 -3 2052 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            4.8830408602952957e-02 -6.7689567804336548e-01
-            7.0138692855834961e-01 -1.2242168188095093e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5987598419189453e+01</treeThreshold>
-          <internalNodes>
-            1 2 2053 3.6500000000000000e+01 0 -1 2054
-            1.5500000000000000e+01 -2 -3 2055 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.9643624424934387e-01 8.7146002054214478e-01
-            4.2710801959037781e-01 -9.8734937608242035e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6501991271972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2056 5.0000000000000000e-01 0 -1 2057
-            8.7450000000000000e+02 -2 -3 2058 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.1439017057418823e-01 -2.0838183164596558e-01
-            2.9052633047103882e-01 -4.0280446410179138e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6733814239501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2059 1.0500000000000000e+01 0 -1 2060
-            5.0000000000000000e-01 -2 -3 2061 1.0650000000000000e+02</internalNodes>
-          <leafValues>
-            6.5033751726150513e-01 -6.9465583562850952e-01
-            2.3182304203510284e-01 -4.8147320747375488e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6992088317871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2062 3.3500000000000000e+01 0 -1 2063
-            1.9500000000000000e+01 -2 -3 2064 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.6601603031158447e-01 -7.5138849020004272e-01
-            2.5827473402023315e-01 -2.7564272284507751e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7450847625732422e+01</treeThreshold>
-          <internalNodes>
-            1 2 2065 1.0450000000000000e+02 0 -1 2066
-            5.5000000000000000e+00 -2 -3 2067 1.1250000000000000e+02</internalNodes>
-          <leafValues>
-            -4.5257368683815002e-01 1.1983016133308411e-01
-            4.5876160264015198e-01 -5.6709617376327515e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7730972290039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2068 5.0000000000000000e-01 0 -1 2069
-            1.5000000000000000e+00 -2 -3 2070 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.2330117225646973e-01 3.9086556434631348e-01
-            -4.4356769323348999e-01 1.6937237977981567e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7399227142333984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2071 8.4050000000000000e+02 0 -1 2072
-            8.4050000000000000e+02 -2 -3 2073 1.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -9.1558247804641724e-02 7.4099737405776978e-01
-            3.8451832532882690e-01 -3.3174303174018860e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7281646728515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2074 5.0000000000000000e-01 0 -1 2075 16. -2 -3 2076
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2827556133270264e-01 6.9123578071594238e-01
-            4.4064518809318542e-01 -1.1758007854223251e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6855220794677734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2077 2.9050000000000000e+02 0 -1 2078
-            5.0000000000000000e-01 -2 -3 2079 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7002122998237610e-01 -4.2642879486083984e-01
-            6.4271414279937744e-01 -9.9449371919035912e-03</leafValues></_>
-        <_>
-          <treeThreshold>4.6856540679931641e+01</treeThreshold>
-          <internalNodes>
-            1 2 2080 3.5000000000000000e+00 0 -1 2081
-            5.5000000000000000e+00 -2 -3 2082 1.3150000000000000e+02</internalNodes>
-          <leafValues>
-            3.0294808745384216e-01 -9.4428914785385132e-01
-            7.9829651117324829e-01 1.3203345006331801e-03</leafValues></_>
-        <_>
-          <treeThreshold>4.7140712738037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2083 2.5000000000000000e+00 0 -1 2084
-            6.5000000000000000e+00 -2 -3 2085 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.8201988935470581e-01 -1.1526307091116905e-02
-            2.8417402505874634e-01 -4.2742845416069031e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7207427978515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2086 1.3500000000000000e+01 0 -1 2087
-            5.0000000000000000e-01 -2 -3 2088 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            6.6715896129608154e-02 -7.0858204364776611e-01
-            4.9522966146469116e-01 -9.5102474093437195e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.7424549102783203e+01</treeThreshold>
-          <internalNodes>
-            1 2 2089 9.5500000000000000e+01 0 -1 2090
-            7.5000000000000000e+00 -2 -3 2091 521.</internalNodes>
-          <leafValues>
-            -4.2587676644325256e-01 2.1712063252925873e-01
-            -7.5793963670730591e-01 4.0587410330772400e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7687419891357422e+01</treeThreshold>
-          <internalNodes>
-            1 2 2092 1.5000000000000000e+00 0 -1 2093 1328. -2 -3 2094
-            4.0350000000000000e+02</internalNodes>
-          <leafValues>
-            -6.6068017482757568e-01 2.6286858320236206e-01
-            4.7489511966705322e-01 -4.0635243058204651e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7712440490722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2095 1.8500000000000000e+01 0 -1 2096
-            7.5000000000000000e+00 -2 -3 2097 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8594979643821716e-01 3.5628849267959595e-01
-            6.2096267938613892e-01 -3.3863210678100586e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8107528686523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2098 5.0000000000000000e-01 0 -1 2099
-            2.9500000000000000e+01 -2 -3 2100 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.6691003739833832e-01 6.9435620307922363e-01
-            1.8187750875949860e-01 -3.3679330348968506e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8001659393310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 2101 2.5000000000000000e+00 0 -1 2102
-            1.5500000000000000e+01 -2 -3 2103 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0513530373573303e-01 3.5411515831947327e-01
-            3.5931992530822754e-01 -5.4738515615463257e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8304855346679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2104 8.5000000000000000e+00 0 -1 2105
-            1.5000000000000000e+00 -2 -3 2106 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2030718624591827e-01 -8.2183599472045898e-01
-            3.0319401621818542e-01 -2.0620918273925781e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8225379943847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2107 1.0350000000000000e+02 0 -1 2108
-            3.5000000000000000e+00 -2 -3 2109 4.0850000000000000e+02</internalNodes>
-          <leafValues>
-            9.0001732110977173e-02 -5.7426315546035767e-01
-            6.7126566171646118e-01 -7.9473815858364105e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8565086364746094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2110 1.7150000000000000e+02 0 -1 2111
-            5.0000000000000000e-01 -2 -3 2112 2.2825000000000000e+03</internalNodes>
-          <leafValues>
-            3.3970481157302856e-01 -1.2163538485765457e-01
-            5.6507825851440430e-01 -9.3082976341247559e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8754871368408203e+01</treeThreshold>
-          <internalNodes>
-            1 2 2113 1.6500000000000000e+01 0 -1 2114
-            7.7500000000000000e+01 -2 -3 2115 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.7172055244445801e-01 -8.8115751743316650e-01
-            1.8978470563888550e-01 -2.7678936719894409e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9211303710937500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2116 3.5000000000000000e+00 0 -1 2117
-            2.1500000000000000e+01 -2 -3 2118 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.1315276622772217e-01 -8.0622744560241699e-01
-            -3.9460040628910065e-02 5.3393137454986572e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8663822174072266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2119 4.5000000000000000e+00 0 -1 2120
-            1.5925000000000000e+03 -2 -3 2121 2.0650000000000000e+02</internalNodes>
-          <leafValues>
-            1.9858585298061371e-01 -8.0468404293060303e-01
-            -6.2497895956039429e-01 3.4673172235488892e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9210224151611328e+01</treeThreshold>
-          <internalNodes>
-            1 2 2122 1.5000000000000000e+00 0 -1 2123
-            4.5000000000000000e+00 -2 -3 2124 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.5436609983444214e-01 5.4640007019042969e-01
-            -3.6977285146713257e-01 2.4242483079433441e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9246429443359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2125 5.5000000000000000e+00 0 -1 2126
-            1.1500000000000000e+01 -2 -3 2127 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4848619699478149e-01 3.5011601448059082e-01
-            -6.0107630491256714e-01 8.2410864531993866e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8944103240966797e+01</treeThreshold>
-          <internalNodes>
-            1 2 2128 2.8500000000000000e+01 0 -1 2129
-            9.5000000000000000e+00 -2 -3 2130 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.0096647143363953e-01 -3.0232757329940796e-01
-            6.8013429641723633e-01 -5.5317246913909912e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8901321411132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2131 7.5000000000000000e+00 0 -1 2132
-            2.4850000000000000e+02 -2 -3 2133 249.</internalNodes>
-          <leafValues>
-            7.6584374904632568e-01 -2.6288160681724548e-01
-            -2.0686230063438416e-01 4.9869608879089355e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8522472381591797e+01</treeThreshold>
-          <internalNodes>
-            1 2 2134 1.5000000000000000e+00 0 -1 2135
-            6.5000000000000000e+00 -2 -3 2136 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.7336744070053101e-01 3.8096541166305542e-01
-            -3.7885129451751709e-01 2.6800793409347534e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8640506744384766e+01</treeThreshold>
-          <internalNodes>
-            1 2 2137 4.1500000000000000e+01 0 -1 2138 7511. -2 -3 2139
-            5.</internalNodes>
-          <leafValues>
-            -1. 1.1803627759218216e-01 5.8405894041061401e-01
-            -9.9191021919250488e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9112037658691406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2140 1.4050000000000000e+02 0 -1 2141
-            9.1550000000000000e+02 -2 -3 2142 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.7153010964393616e-01 -3.8127270340919495e-01
-            3.7462133169174194e-01 -3.5809725522994995e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9074180603027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2143 4.5000000000000000e+00 0 -1 2144
-            5.5000000000000000e+00 -2 -3 2145 1156.</internalNodes>
-          <leafValues>
-            -7.7864569425582886e-01 -3.7855844944715500e-02
-            -5.6096863746643066e-01 2.8747567534446716e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9317012786865234e+01</treeThreshold>
-          <internalNodes>
-            1 2 2146 5.0000000000000000e-01 0 -1 2147
-            7.5000000000000000e+00 -2 -3 2148 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.9298474490642548e-01 6.0014814138412476e-01
-            -2.8463506698608398e-01 3.0250099301338196e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9228115081787109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2149 1.2500000000000000e+01 0 -1 2150
-            1.5000000000000000e+00 -2 -3 2151 2.7550000000000000e+02</internalNodes>
-          <leafValues>
-            2.9153743386268616e-01 -1.4856611192226410e-01
-            8.5224819183349609e-01 -7.4847495555877686e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9394767761230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2152 1.0650000000000000e+02 0 -1 2153
-            1.6650000000000000e+02 -2 -3 2154 6.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -2.1377994120121002e-01 6.8324047327041626e-01
-            8.1065440177917480e-01 -1.6369237005710602e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9178939819335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2155 5.5000000000000000e+00 0 -1 2156
-            3.5000000000000000e+00 -2 -3 2157 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.4507712125778198e-01 2.7314877510070801e-01
-            1.8895468674600124e-03 -6.6257309913635254e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9466709136962891e+01</treeThreshold>
-          <internalNodes>
-            1 2 2158 1.4350000000000000e+02 0 -1 2159
-            3.6500000000000000e+01 -2 -3 2160 2.8350000000000000e+02</internalNodes>
-          <leafValues>
-            -7.0678502321243286e-01 2.8776872158050537e-01
-            5.0643736124038696e-01 -4.6139922738075256e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9411914825439453e+01</treeThreshold>
-          <internalNodes>
-            1 2 2161 2.8450000000000000e+02 0 -1 2162
-            1.0500000000000000e+01 -2 -3 2163 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4796442389488220e-02 5.7056087255477905e-01
-            -9.7249829769134521e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.9156459808349609e+01</treeThreshold>
-          <internalNodes>
-            1 2 2164 1.3005000000000000e+03 0 -1 2165
-            5.0000000000000000e-01 -2 -3 2166 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4745839834213257e-01 -2.5545302033424377e-01
-            7.4935376644134521e-01 -7.2865372896194458e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9304908752441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2167 2.5000000000000000e+00 0 -1 2168
-            4.2650000000000000e+02 -2 -3 2169 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            9.1332197189331055e-01 -8.7917047739028931e-01
-            -7.9717016220092773e-01 1.4844851195812225e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9519458770751953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2170 5.0000000000000000e-01 0 -1 2171
-            3.1050000000000000e+02 -2 -3 2172 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.2879353761672974e-01 7.3362600803375244e-01
-            2.1455071866512299e-01 -5.3520482778549194e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9214466094970703e+01</treeThreshold>
-          <internalNodes>
-            1 2 2173 6.5000000000000000e+00 0 -1 2174
-            5.0000000000000000e-01 -2 -3 2175 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2513018846511841e-01 4.0643110871315002e-01
-            -3.0499455332756042e-01 5.0062865018844604e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9077842712402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2176 3.5500000000000000e+01 0 -1 2177
-            4.5000000000000000e+00 -2 -3 2178 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1681686639785767e-01 -1.3662472367286682e-01
-            -8.9950013160705566e-01 5.9339106082916260e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9558990478515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2179 2.1500000000000000e+01 0 -1 2180
-            7.0500000000000000e+01 -2 -3 2181 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8115003108978271e-01 -3.7647187709808350e-01
-            -7.3073945939540863e-02 5.2965939044952393e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9294830322265625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2182 5.0000000000000000e-01 0 -1 2183
-            1.5000000000000000e+00 -2 -3 2184 6.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -2.5544604659080505e-01 5.0417780876159668e-01
-            6.0399526357650757e-01 -2.6415923237800598e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9588432312011719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2185 2.5000000000000000e+00 0 -1 2186
-            1.4500000000000000e+01 -2 -3 2187 1.9850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2754228115081787e-01 6.9201481342315674e-01
-            -2.1817497909069061e-01 2.9360204935073853e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9867538452148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2188 8.5000000000000000e+00 0 -1 2189
-            3.0950000000000000e+02 -2 -3 2190 26.</internalNodes>
-          <leafValues>
-            2.2687920928001404e-01 -4.3458512425422668e-01
-            -7.0097404718399048e-01 3.0540248751640320e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0168376922607422e+01</treeThreshold>
-          <internalNodes>
-            1 2 2191 5.0000000000000000e-01 0 -1 2192
-            1.5000000000000000e+00 -2 -3 2193 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.1328246593475342e-01 3.0083844065666199e-01
-            -9.5252823084592819e-03 -6.4636266231536865e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0060260772705078e+01</treeThreshold>
-          <internalNodes>
-            1 2 2194 3.5000000000000000e+00 0 -1 2195
-            5.5500000000000000e+01 -2 -3 2196 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.1561942100524902e-01 -8.6320608854293823e-01
-            -1.3441234827041626e-01 3.3917289972305298e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0102226257324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2197 4.5500000000000000e+01 0 -1 2198
-            3.0500000000000000e+01 -2 -3 2199 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.6849882006645203e-02 5.2688473463058472e-01
-            4.1965771466493607e-02 -7.8310465812683105e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0278747558593750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2200 5805. 0 -1 2201 6.4500000000000000e+01 -2 -3 2202
-            1.3666500000000000e+04</internalNodes>
-          <leafValues>
-            -3.5512223839759827e-01 1.7651933431625366e-01 1.
-            -9.3429499864578247e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0092594146728516e+01</treeThreshold>
-          <internalNodes>
-            1 2 2203 87. 0 -1 2204 1.5000000000000000e+00 -2 -3 2205
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.5804731249809265e-01 -1.8615169823169708e-01
-            9.0864014625549316e-01 -9.3007725477218628e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9681518554687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2206 3.4500000000000000e+01 0 -1 2207
-            2.5000000000000000e+00 -2 -3 2208 144.</internalNodes>
-          <leafValues>
-            8.0942414700984955e-02 -4.1107651591300964e-01
-            8.1396090984344482e-01 -5.5868124961853027e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0186134338378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2209 2.3500000000000000e+01 0 -1 2210
-            5.0000000000000000e-01 -2 -3 2211 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8014830350875854e-01 -5.8121389150619507e-01
-            5.0461643934249878e-01 -1.3289090991020203e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0354343414306641e+01</treeThreshold>
-          <internalNodes>
-            1 2 2212 1.5000000000000000e+00 0 -1 2213
-            1.2500000000000000e+01 -2 -3 2214 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6955841779708862e-01 1. 1.6820773482322693e-01
-            -3.2301485538482666e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0826210021972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2215 1.7500000000000000e+01 0 -1 2216
-            1.5000000000000000e+00 -2 -3 2217 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.4819860458374023e-01 -5.6733429431915283e-01
-            4.7186562418937683e-01 -8.8461555540561676e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0689891815185547e+01</treeThreshold>
-          <internalNodes>
-            1 2 2218 5.5000000000000000e+00 0 -1 2219
-            2.5000000000000000e+00 -2 -3 2220 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8274695873260498e-01 5.8369493484497070e-01
-            3.3880138397216797e-01 -1.3631547987461090e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0897132873535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2221 3.4500000000000000e+01 0 -1 2222 52. -2 -3 2223
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9135108590126038e-01 -8.2356482744216919e-01
-            -6.7104524374008179e-01 2.0723932981491089e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0793212890625000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2224 5.0000000000000000e-01 0 -1 2225
-            4.5000000000000000e+00 -2 -3 2226 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1123476028442383e-01 -1.1320804804563522e-01
-            -3.8408496975898743e-01 6.1438548564910889e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1001136779785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2227 8.3500000000000000e+01 0 -1 2228
-            3.5000000000000000e+00 -2 -3 2229 42.</internalNodes>
-          <leafValues>
-            -4.2239284515380859e-01 2.0792518556118011e-01
-            -6.8203860521316528e-01 7.9907011985778809e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0596912384033203e+01</treeThreshold>
-          <internalNodes>
-            1 2 2230 1.5000000000000000e+00 0 -1 2231
-            3.5000000000000000e+00 -2 -3 2232 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0603537559509277e-01 2.4662055075168610e-01
-            -4.0422463417053223e-01 5.9911012649536133e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0428260803222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2233 1.3750000000000000e+02 0 -1 2234
-            2.0250000000000000e+02 -2 -3 2235 2253.</internalNodes>
-          <leafValues>
-            -1.6865161061286926e-01 2.5998809933662415e-01
-            -9.4531512260437012e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.0951389312744141e+01</treeThreshold>
-          <internalNodes>
-            1 2 2236 8.3850000000000000e+02 0 -1 2237
-            1.0500000000000000e+01 -2 -3 2238 2.7050000000000000e+02</internalNodes>
-          <leafValues>
-            -3.1979247927665710e-01 5.2312844991683960e-01 1.
-            -2.6709866523742676e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1609600067138672e+01</treeThreshold>
-          <internalNodes>
-            1 2 2239 2.5000000000000000e+00 0 -1 2240
-            7.5000000000000000e+00 -2 -3 2241 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.6014068126678467e-01 7.4454039335250854e-01
-            2.0096376538276672e-01 -2.4620246887207031e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1524238586425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2242 4.5000000000000000e+00 0 -1 2243
-            4.5000000000000000e+00 -2 -3 2244 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.2637367248535156e-01 -6.9044232368469238e-01
-            4.0469411015510559e-01 -8.5362896323204041e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1590244293212891e+01</treeThreshold>
-          <internalNodes>
-            1 2 2245 2.7500000000000000e+01 0 -1 2246
-            1.6500000000000000e+01 -2 -3 2247 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.6192824840545654e-01 6.6809237003326416e-01
-            3.9989617466926575e-01 -1.0465840995311737e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1738754272460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2248 4.8500000000000000e+01 0 -1 2249
-            1.5000000000000000e+00 -2 -3 2250 1.5945000000000000e+03</internalNodes>
-          <leafValues>
-            -8.0413728952407837e-01 1.4850924909114838e-01
-            -8.2549327611923218e-01 6.2095624208450317e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2021579742431641e+01</treeThreshold>
-          <internalNodes>
-            1 2 2251 9.5000000000000000e+00 0 -1 2252
-            4.5000000000000000e+00 -2 -3 2253 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5502113103866577e-01 2.8282484412193298e-01
-            -3.4542977809906006e-01 6.4788120985031128e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2015274047851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2254 9.5000000000000000e+00 0 -1 2255
-            1.5000000000000000e+00 -2 -3 2256 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4599477052688599e-01 -3.4019523859024048e-01
-            7.2228658199310303e-01 7.7277146279811859e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1593978881835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2257 5.5000000000000000e+00 0 -1 2258 5. -2 -3 2259
-            2.7250000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 1.6008520126342773e-01 -5.4555195569992065e-01
-            1.6251419484615326e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1819255828857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 2260 5.5000000000000000e+00 0 -1 2261
-            2.5000000000000000e+00 -2 -3 2262 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.8347968608140945e-02 6.0446649789810181e-01
-            -4.0619182586669922e-01 2.2527877986431122e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1746963500976562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2263 1.3750000000000000e+02 0 -1 2264
-            4.2250000000000000e+02 -2 -3 2265 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            7.4067801237106323e-01 -7.2294034063816071e-02
-            8.8299661874771118e-03 -6.2965631484985352e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2008258819580078e+01</treeThreshold>
-          <internalNodes>
-            1 2 2266 2.5000000000000000e+00 0 -1 2267
-            2.8750000000000000e+02 -2 -3 2268 1.9450000000000000e+02</internalNodes>
-          <leafValues>
-            2.6129412651062012e-01 -5.3058236837387085e-01
-            -3.6182677745819092e-01 2.7137964963912964e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2304763793945312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2269 5.0000000000000000e-01 0 -1 2270
-            3.7500000000000000e+01 -2 -3 2271 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2875798940658569e-01 -6.0992181301116943e-01
-            2.9650440812110901e-01 -2.9122522473335266e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2421115875244141e+01</treeThreshold>
-          <internalNodes>
-            1 2 2272 4.3500000000000000e+01 0 -1 2273
-            2.5000000000000000e+00 -2 -3 2274 4.5650000000000000e+02</internalNodes>
-          <leafValues>
-            3.0624570325016975e-02 -5.8957004547119141e-01
-            -2.7495118975639343e-01 3.9496597647666931e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2647144317626953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2275 1518. 0 -1 2276 1.6500000000000000e+01 -2 -3 2277
-            4.8450000000000000e+02</internalNodes>
-          <leafValues>
-            2.2602756321430206e-01 -4.2886498570442200e-01
-            -6.9053608179092407e-01 8.4119993448257446e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2705776214599609e+01</treeThreshold>
-          <internalNodes>
-            1 2 2278 1.4500000000000000e+01 0 -1 2279
-            3.5000000000000000e+00 -2 -3 2280 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.7602374553680420e-01 -8.6094701290130615e-01
-            4.6095618605613708e-01 -1.0049798339605331e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2445388793945312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2281 5.4500000000000000e+01 0 -1 2282
-            5.0000000000000000e-01 -2 -3 2283 293.</internalNodes>
-          <leafValues>
-            2.4707119166851044e-01 -2.6038503646850586e-01
-            8.0504089593887329e-01 -8.4760957956314087e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2260616302490234e+01</treeThreshold>
-          <internalNodes>
-            1 2 2284 3.5000000000000000e+00 0 -1 2285
-            3.3500000000000000e+01 -2 -3 2286 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2160458564758301e-01 3.7846213579177856e-01
-            -1.8477419018745422e-01 3.3230203390121460e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2433509826660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2287 5.1650000000000000e+02 0 -1 2288
-            8.8500000000000000e+01 -2 -3 2289 7.0550000000000000e+02</internalNodes>
-          <leafValues>
-            1.7289595305919647e-01 -9.1000020503997803e-01
-            3.6744228005409241e-01 -7.2866481542587280e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2647979736328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2290 1.1150000000000000e+02 0 -1 2291
-            2.7950000000000000e+02 -2 -3 2292 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.1446748077869415e-01 -3.1376039981842041e-01 -1.
-            6.5572494268417358e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3233036041259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 2293 4.6500000000000000e+01 0 -1 2294
-            5.0000000000000000e-01 -2 -3 2295 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0808640122413635e-01 -4.1060706973075867e-01
-            7.6606053113937378e-01 2.6130240410566330e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.3398525238037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2296 1.5500000000000000e+01 0 -1 2297 61. -2 -3 2298
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.7748582363128662e-01 1.6549052298069000e-01
-            4.1098600625991821e-01 -7.7618271112442017e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3294448852539062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2299 1.8615000000000000e+03 0 -1 2300
-            5.7500000000000000e+01 -2 -3 2301 1.2650000000000000e+02</internalNodes>
-          <leafValues>
-            -8.6754381656646729e-01 1. 8.4667998552322388e-01
-            -2.2392984479665756e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.3276077270507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2302 3.5000000000000000e+00 0 -1 2303
-            1.0605000000000000e+03 -2 -3 2304 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.8368726596236229e-02 -7.0469945669174194e-01
-            3.7680181860923767e-01 -2.6430556178092957e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3376117706298828e+01</treeThreshold>
-          <internalNodes>
-            1 2 2305 7.5000000000000000e+00 0 -1 2306
-            1.3500000000000000e+01 -2 -3 2307 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4095748662948608e-01 8.1208780407905579e-02
-            7.2995042800903320e-01 -6.6059477627277374e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.3484439849853516e+01</treeThreshold>
-          <internalNodes>
-            1 2 2308 4.8500000000000000e+01 0 -1 2309
-            1.5000000000000000e+00 -2 -3 2310 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.3434567451477051e-01 1.0832270234823227e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.3156581878662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2311 5.0000000000000000e-01 0 -1 2312
-            5.0500000000000000e+01 -2 -3 2313 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2785847783088684e-01 6.5818876028060913e-01
-            1.5944661200046539e-01 -3.7622401118278503e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3464508056640625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2314 1.5000000000000000e+00 0 -1 2315 1395. -2 -3 2316
-            2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -2.5435209274291992e-01 3.5143795609474182e-01
-            -5.3791600465774536e-01 1.4341881871223450e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3676666259765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2317 1.9450000000000000e+02 0 -1 2318
-            7.7650000000000000e+02 -2 -3 2319 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.6406188905239105e-01 6.5499174594879150e-01
-            -2.9839497804641724e-01 5.4618138074874878e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3746845245361328e+01</treeThreshold>
-          <internalNodes>
-            1 2 2320 2.5000000000000000e+00 0 -1 2321
-            3.5000000000000000e+00 -2 -3 2322 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.8959516659379005e-02 7.8612476587295532e-01
-            9.0865425765514374e-02 -4.5988494157791138e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3647705078125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2323 7.5000000000000000e+00 0 -1 2324
-            5.5000000000000000e+00 -2 -3 2325 5.7050000000000000e+02</internalNodes>
-          <leafValues>
-            1.4724509418010712e-01 -7.7298891544342041e-01
-            3.5621020197868347e-01 -1.3211415708065033e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3602718353271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 2326 9.5000000000000000e+00 0 -1 2327
-            3.5000000000000000e+00 -2 -3 2328 8.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.3503439724445343e-02 -8.2117962837219238e-01
-            5.8936750888824463e-01 -4.4985972344875336e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.3612422943115234e+01</treeThreshold>
-          <internalNodes>
-            1 2 2329 6.5000000000000000e+00 0 -1 2330
-            5.0000000000000000e-01 -2 -3 2331 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1986992359161377e-01 9.7068445757031441e-03
-            5.7828778028488159e-01 -2.6466268301010132e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2955169677734375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2332 5.5000000000000000e+00 0 -1 2333
-            1.4250000000000000e+02 -2 -3 2334 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0672644972801208e-01 -6.5725678205490112e-01
-            4.3416792154312134e-01 -1.0205291956663132e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3175640106201172e+01</treeThreshold>
-          <internalNodes>
-            1 2 2335 5.8500000000000000e+01 0 -1 2336
-            3.5000000000000000e+00 -2 -3 2337 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2344768345355988e-02 -8.2324630022048950e-01
-            -8.0642974376678467e-01 2.2047302126884460e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3262622833251953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2338 4.7500000000000000e+01 0 -1 2339
-            2.2450000000000000e+02 -2 -3 2340 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            8.6981259286403656e-02 -6.1652702093124390e-01
-            -9.1801822185516357e-01 6.4460629224777222e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3449378967285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2341 4.0500000000000000e+01 0 -1 2342
-            3.5000000000000000e+00 -2 -3 2343 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8675777316093445e-01 -3.1174966692924500e-01
-            -8.4308654069900513e-01 5.4007226228713989e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4046314239501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2344 1.9500000000000000e+01 0 -1 2345
-            1.5000000000000000e+00 -2 -3 2346 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6490023732185364e-01 -2.7910321950912476e-01
-            5.9693449735641479e-01 -2.9306411743164062e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3945655822753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2347 4.5000000000000000e+00 0 -1 2348 27. -2 -3 2349
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5741281509399414e-01 1.3065045699477196e-02
-            3.9639812707901001e-01 -1.0065827518701553e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4267860412597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2350 1.9450000000000000e+02 0 -1 2351
-            1.0500000000000000e+01 -2 -3 2352 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5501171350479126e-01 3.2220518589019775e-01
-            3.1031554937362671e-01 -2.4605174362659454e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4434059143066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2353 4.5000000000000000e+00 0 -1 2354 10. -2 -3 2355
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6719789505004883e-01 1. 3.4963271021842957e-01
-            -1.1308565735816956e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4395557403564453e+01</treeThreshold>
-          <internalNodes>
-            1 2 2356 9.5000000000000000e+00 0 -1 2357 50. -2 -3 2358
-            2.7650000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2526080608367920e-01 1. 4.7619706392288208e-01
-            -3.8500182330608368e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4446586608886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2359 5.0000000000000000e-01 0 -1 2360
-            1.5000000000000000e+00 -2 -3 2361 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0974302291870117e-01 5.9427440166473389e-01
-            -4.7772464156150818e-01 5.1026910543441772e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4573219299316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2362 5.5000000000000000e+00 0 -1 2363
-            7.5000000000000000e+00 -2 -3 2364 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.3239122331142426e-01 5.5771952867507935e-01
-            -3.3134892582893372e-01 5.3258192539215088e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4593772888183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2365 2.0850000000000000e+02 0 -1 2366
-            1.5000000000000000e+00 -2 -3 2367 2.0350000000000000e+02</internalNodes>
-          <leafValues>
-            2.8126055002212524e-01 -3.8539481163024902e-01
-            8.0755966901779175e-01 2.5156758725643158e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4878520965576172e+01</treeThreshold>
-          <internalNodes>
-            1 2 2368 9.5500000000000000e+01 0 -1 2369
-            3.3500000000000000e+01 -2 -3 2370 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0251634716987610e-01 2.8474879264831543e-01
-            3.4431111812591553e-01 -9.0932434797286987e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4830356597900391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2371 2.9550000000000000e+02 0 -1 2372
-            1.4735000000000000e+03 -2 -3 2373 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.8165567219257355e-02 7.1227544546127319e-01
-            -5.8812457323074341e-01 4.9097633361816406e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5037090301513672e+01</treeThreshold>
-          <internalNodes>
-            1 2 2374 3.5000000000000000e+00 0 -1 2375 265. -2 -3 2376
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            6.2006855010986328e-01 -1.1624867469072342e-01
-            2.0673374831676483e-01 -3.9852622151374817e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4704418182373047e+01</treeThreshold>
-          <internalNodes>
-            1 2 2377 5.5000000000000000e+00 0 -1 2378
-            7.4150000000000000e+02 -2 -3 2379 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            8.3038502931594849e-01 -3.3267009258270264e-01
-            -5.5480867624282837e-01 3.8361921906471252e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5166534423828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2380 2.5000000000000000e+00 0 -1 2381
-            2.5000000000000000e+00 -2 -3 2382 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.5405935049057007e-01 4.6251511573791504e-01
-            1.5241867303848267e-01 -3.7966835498809814e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5294990539550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2383 3.5000000000000000e+00 0 -1 2384 218. -2 -3 2385
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.2755223512649536e-01 7.7218592166900635e-01
-            3.7493732571601868e-01 -1.4008188247680664e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5391014099121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2386 5.0000000000000000e-01 0 -1 2387
-            3.5000000000000000e+00 -2 -3 2388 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2115933895111084e-01 5.6441891193389893e-01
-            -2.2445468604564667e-01 4.8844140768051147e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5061939239501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2389 1.5000000000000000e+00 0 -1 2390
-            9.4500000000000000e+01 -2 -3 2391 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0153071880340576e-01 -7.7830529212951660e-01
-            -3.7638953328132629e-01 4.5185664296150208e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5263076782226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2392 6.0575000000000000e+03 0 -1 2393
-            4.5000000000000000e+00 -2 -3 2394 23.</internalNodes>
-          <leafValues>
-            -2.4923345446586609e-01 2.0113667845726013e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.5297931671142578e+01</treeThreshold>
-          <internalNodes>
-            1 2 2395 5.0000000000000000e-01 0 -1 2396
-            5.0000000000000000e-01 -2 -3 2397 150.</internalNodes>
-          <leafValues>
-            -7.8452098369598389e-01 2.7857390046119690e-01
-            3.1075701117515564e-01 -4.7745358943939209e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4631614685058594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2398 1.5000000000000000e+00 0 -1 2399
-            6.5000000000000000e+00 -2 -3 2400 3.5450000000000000e+02</internalNodes>
-          <leafValues>
-            -4.1111201047897339e-01 3.2674971222877502e-01
-            -6.6631543636322021e-01 6.2937244772911072e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5044651031494141e+01</treeThreshold>
-          <internalNodes>
-            1 2 2401 1.0250000000000000e+02 0 -1 2402
-            3.6500000000000000e+01 -2 -3 2403 1631.</internalNodes>
-          <leafValues>
-            -1.7850313335657120e-02 -7.2239345312118530e-01
-            4.1303712129592896e-01 -7.0288980007171631e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5012844085693359e+01</treeThreshold>
-          <internalNodes>
-            1 2 2404 5.5000000000000000e+00 0 -1 2405
-            1.5000000000000000e+00 -2 -3 2406 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5541549921035767e-01 -3.1809989362955093e-02
-            -6.1507242918014526e-01 7.0561921596527100e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4918914794921875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2407 5.0000000000000000e-01 0 -1 2408
-            8.5000000000000000e+00 -2 -3 2409 9.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.1232073307037354e-01 3.9009645581245422e-01
-            -9.3929134309291840e-02 -7.8844040632247925e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5306533813476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2410 5.0000000000000000e-01 0 -1 2411
-            1.5500000000000000e+01 -2 -3 2412 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.7871519327163696e-01 5.0485336780548096e-01
-            3.8762193918228149e-01 -2.6150849461555481e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5725589752197266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2413 3.8500000000000000e+01 0 -1 2414
-            7.5000000000000000e+00 -2 -3 2415 2.1450000000000000e+02</internalNodes>
-          <leafValues>
-            2.2938077151775360e-01 -3.7094232439994812e-01
-            5.0282096862792969e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.5701969146728516e+01</treeThreshold>
-          <internalNodes>
-            1 2 2416 5.5000000000000000e+00 0 -1 2417
-            1.9250000000000000e+02 -2 -3 2418 3.2250000000000000e+02</internalNodes>
-          <leafValues>
-            7.8288418054580688e-01 -1. -2.3619059473276138e-02
-            6.6452664136886597e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6077171325683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2419 1.4050000000000000e+02 0 -1 2420
-            2.8250000000000000e+02 -2 -3 2421 1.4150000000000000e+02</internalNodes>
-          <leafValues>
-            -1.0124576836824417e-01 7.4701219797134399e-01
-            3.5501605272293091e-01 -4.3058195710182190e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6083236694335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2422 5.0000000000000000e-01 0 -1 2423
-            1.0500000000000000e+01 -2 -3 2424 8.3150000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6019341945648193e-01 3.9356786012649536e-01
-            -3.6574575304985046e-01 3.6192762851715088e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5670101165771484e+01</treeThreshold>
-          <internalNodes>
-            1 2 2425 3.5500000000000000e+01 0 -1 2426
-            5.0000000000000000e-01 -2 -3 2427 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -8.6421859264373779e-01 5.4856836795806885e-01
-            -7.4459843337535858e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5537399291992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2428 3.5000000000000000e+00 0 -1 2429
-            2.1500000000000000e+01 -2 -3 2430 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.3270168006420135e-01 5.0145077705383301e-01
-            -5.9590238332748413e-01 5.6020063161849976e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6239562988281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2431 2.5000000000000000e+00 0 -1 2432
-            4.5000000000000000e+00 -2 -3 2433 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.1585496366024017e-02 7.0216339826583862e-01
-            1.3687019050121307e-01 -4.4344663619995117e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6262195587158203e+01</treeThreshold>
-          <internalNodes>
-            1 2 2434 5.5000000000000000e+00 0 -1 2435 599. -2 -3 2436
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.7830984592437744e-01 -8.5527080297470093e-01
-            2.0193518698215485e-01 -4.7135183215141296e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6160911560058594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2437 5.5500000000000000e+01 0 -1 2438
-            1.8500000000000000e+01 -2 -3 2439 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.9777466058731079e-01 6.7050379514694214e-01
-            -2.8058648109436035e-01 3.3557692170143127e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6366966247558594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2440 1.9500000000000000e+01 0 -1 2441
-            1.9500000000000000e+01 -2 -3 2442 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.0625101923942566e-01 -7.9308640956878662e-01
-            1.2798076868057251e-01 -5.4627287387847900e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6186271667480469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2443 1.8615000000000000e+03 0 -1 2444 167. -2 -3 2445
-            1.9650000000000000e+02</internalNodes>
-          <leafValues>
-            8.4020185470581055e-01 -9.3632721900939941e-01
-            2.7573192119598389e-01 -1.8069291114807129e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6445884704589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2446 3.5000000000000000e+00 0 -1 2447
-            1.0500000000000000e+01 -2 -3 2448 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1. 2.5961092114448547e-01 -1.6614863276481628e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5662120819091797e+01</treeThreshold>
-          <internalNodes>
-            1 2 2449 2.2500000000000000e+01 0 -1 2450
-            6.7750000000000000e+02 -2 -3 2451 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6409425437450409e-01 -7.8376275300979614e-01
-            4.5019468665122986e-01 -1.2327302992343903e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5920890808105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2452 2.6500000000000000e+01 0 -1 2453
-            2.1500000000000000e+01 -2 -3 2454 884.</internalNodes>
-          <leafValues>
-            3.0651217699050903e-01 -7.2995334863662720e-01
-            -3.2345041632652283e-01 2.5876981019973755e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6508441925048828e+01</treeThreshold>
-          <internalNodes>
-            1 2 2455 1.5000000000000000e+00 0 -1 2456
-            7.5000000000000000e+00 -2 -3 2457 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2047679424285889e-01 5.8755081892013550e-01
-            -3.5544028878211975e-01 1.4925979077816010e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7038162231445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2458 4253. 0 -1 2459 2.5925000000000000e+03 -2 -3 2460
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7438737675547600e-02 7.4788528680801392e-01
-            -7.3076415061950684e-01 3.7760403752326965e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7042125701904297e+01</treeThreshold>
-          <internalNodes>
-            1 2 2461 2.6500000000000000e+01 0 -1 2462
-            1.9500000000000000e+01 -2 -3 2463 27.</internalNodes>
-          <leafValues>
-            3.9644027128815651e-03 7.4178051948547363e-01
-            -7.0212310552597046e-01 3.2540574669837952e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6994468688964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2464 1.9850000000000000e+02 0 -1 2465
-            4.1500000000000000e+01 -2 -3 2466 15.</internalNodes>
-          <leafValues>
-            -4.7658316791057587e-02 4.4828248023986816e-01
-            -9.3152695894241333e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.7190505981445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2467 1.8500000000000000e+01 0 -1 2468
-            5.0000000000000000e-01 -2 -3 2469 1.8750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1969377994537354e-01 1.9603636860847473e-01
-            4.9150291085243225e-01 -5.2527850866317749e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7078899383544922e+01</treeThreshold>
-          <internalNodes>
-            1 2 2470 3.8450000000000000e+02 0 -1 2471 526. -2 -3 2472
-            2.9050000000000000e+02</internalNodes>
-          <leafValues>
-            3.3174201846122742e-01 -8.2571077346801758e-01
-            5.2103126049041748e-01 -3.9841450750827789e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.7003246307373047e+01</treeThreshold>
-          <internalNodes>
-            1 2 2473 7.5500000000000000e+01 0 -1 2474
-            1.0550000000000000e+02 -2 -3 2475 968.</internalNodes>
-          <leafValues>
-            -7.5653955340385437e-02 4.8758953809738159e-01
-            -5.4898864030838013e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.6870857238769531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2476 1.0500000000000000e+01 0 -1 2477
-            2.0500000000000000e+01 -2 -3 2478 1.6935000000000000e+03</internalNodes>
-          <leafValues>
-            -7.4650394916534424e-01 1.1892273277044296e-01
-            4.1699570417404175e-01 -1.3238719105720520e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7122226715087891e+01</treeThreshold>
-          <internalNodes>
-            1 2 2479 8.5000000000000000e+00 0 -1 2480 86. -2 -3 2481
-            7.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4109079837799072e-01 2.5136706233024597e-01
-            -7.6945990324020386e-01 -1.0176113247871399e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7074886322021484e+01</treeThreshold>
-          <internalNodes>
-            1 2 2482 260. 0 -1 2483 2.8500000000000000e+01 -2 -3 2484
-            3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3627879619598389e-01 -5.7430881261825562e-01
-            -8.7236690521240234e-01 -4.7338943928480148e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6915012359619141e+01</treeThreshold>
-          <internalNodes>
-            1 2 2485 1.6500000000000000e+01 0 -1 2486
-            5.0000000000000000e-01 -2 -3 2487 4.3050000000000000e+02</internalNodes>
-          <leafValues>
-            5.5153751373291016e-01 -5.8580690622329712e-01
-            -1.5987615287303925e-01 3.9268711209297180e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7239044189453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2488 1.5000000000000000e+00 0 -1 2489
-            8.1500000000000000e+01 -2 -3 2490 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2343451976776123e-01 -4.1453287005424500e-01
-            3.2403412461280823e-01 -3.2856607437133789e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7474300384521484e+01</treeThreshold>
-          <internalNodes>
-            1 2 2491 1.8500000000000000e+01 0 -1 2492
-            1.5000000000000000e+00 -2 -3 2493 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.8822988271713257e-01 -9.5766671001911163e-03
-            -4.8284614086151123e-01 2.3525412380695343e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7249835968017578e+01</treeThreshold>
-          <internalNodes>
-            1 2 2494 2.3050000000000000e+02 0 -1 2495
-            2.0050000000000000e+02 -2 -3 2496 2.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -2.2446456551551819e-01 2.2491098940372467e-01
-            8.3066219091415405e-01 -9.5704418420791626e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7814559936523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2497 5.0000000000000000e-01 0 -1 2498
-            2.6185000000000000e+03 -2 -3 2499 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            5.6472480297088623e-01 -1.6110357642173767e-01
-            -3.1116396188735962e-01 4.4437372684478760e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8106559753417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2500 8.5000000000000000e+00 0 -1 2501
-            1.7500000000000000e+01 -2 -3 2502 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.7669808268547058e-01 2.9200211167335510e-01
-            -9.3605440855026245e-01 6.0182154178619385e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8357116699218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2503 6.5000000000000000e+00 0 -1 2504 4110. -2 -3 2505
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.0149852037429810e-01 -4.7614306211471558e-01
-            2.5055614113807678e-01 -3.4401369094848633e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8571323394775391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2506 1.7500000000000000e+01 0 -1 2507
-            1.0500000000000000e+01 -2 -3 2508 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3967492580413818e-01 1.0592705756425858e-01
-            -7.4430185556411743e-01 2.1420435607433319e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8413196563720703e+01</treeThreshold>
-          <internalNodes>
-            1 2 2509 4.6500000000000000e+01 0 -1 2510
-            5.0000000000000000e-01 -2 -3 2511 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.0999431014060974e-01 -1.5812423825263977e-01
-            7.2452938556671143e-01 -8.2721656560897827e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8289020538330078e+01</treeThreshold>
-          <internalNodes>
-            1 2 2512 1.9450000000000000e+02 0 -1 2513
-            1.5500000000000000e+01 -2 -3 2514 5.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.0014303922653198e-01 5.3811348974704742e-02
-            2.4148009717464447e-01 -3.3995988965034485e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8445301055908203e+01</treeThreshold>
-          <internalNodes>
-            1 2 2515 6.5000000000000000e+00 0 -1 2516
-            1.5000000000000000e+00 -2 -3 2517 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.5627947449684143e-01 -4.8640871047973633e-01
-            3.7407481670379639e-01 -3.9116647839546204e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8216587066650391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2518 700. 0 -1 2519 5.5850000000000000e+02 -2 -3 2520
-            16.</internalNodes>
-          <leafValues>
-            2.0464093983173370e-01 -2.6413521170616150e-01
-            8.5163682699203491e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.8270072937011719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2521 7.0500000000000000e+01 0 -1 2522 3409. -2 -3 2523
-            7.3150000000000000e+02</internalNodes>
-          <leafValues>
-            5.3485069423913956e-02 -5.7243049144744873e-01
-            -8.9430630207061768e-02 6.9314485788345337e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7783893585205078e+01</treeThreshold>
-          <internalNodes>
-            1 2 2524 5.0000000000000000e-01 0 -1 2525
-            2.5000000000000000e+00 -2 -3 2526 1684.</internalNodes>
-          <leafValues>
-            -4.0134501457214355e-01 5.9734642505645752e-01
-            -4.8617830872535706e-01 7.6749451458454132e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.8102993011474609e+01</treeThreshold>
-          <internalNodes>
-            1 2 2527 6.5500000000000000e+01 0 -1 2528
-            5.5000000000000000e+00 -2 -3 2529 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1909653544425964e-01 -1.7158342897891998e-01
-            -7.2843241691589355e-01 2.3383940756320953e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8049087524414062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2530 4.5000000000000000e+00 0 -1 2531
-            5.0000000000000000e-01 -2 -3 2532 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -7.5028574466705322e-01 -5.3904149681329727e-02
-            5.5251020193099976e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8244209289550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2533 5.5000000000000000e+00 0 -1 2534
-            4.5000000000000000e+00 -2 -3 2535 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.0380880832672119e-01 2.9753589630126953e-01
-            1.9512148201465607e-01 -4.6969175338745117e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8672908782958984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2536 2.5000000000000000e+00 0 -1 2537
-            1.3500000000000000e+01 -2 -3 2538 11661.</internalNodes>
-          <leafValues>
-            -3.4166058897972107e-01 3.3482587337493896e-01
-            4.2869973182678223e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.9023540496826172e+01</treeThreshold>
-          <internalNodes>
-            1 2 2539 1.5000000000000000e+00 0 -1 2540
-            3.5000000000000000e+00 -2 -3 2541 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3383214473724365e-01 3.5063269734382629e-01
-            -3.5336953401565552e-01 3.0827513337135315e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9003356933593750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2542 1.0250000000000000e+02 0 -1 2543
-            2.5550000000000000e+02 -2 -3 2544 2.0350000000000000e+02</internalNodes>
-          <leafValues>
-            5.1257050037384033e-01 -3.2918009161949158e-01
-            7.4368792772293091e-01 -2.0184267312288284e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.9620601654052734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2545 7.9500000000000000e+01 0 -1 2546
-            2.5000000000000000e+00 -2 -3 2547 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7253228425979614e-01 6.1724388599395752e-01
-            -4.8216223716735840e-01 5.6440707296133041e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.9330902099609375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2548 5.0000000000000000e-01 0 -1 2549
-            3.5000000000000000e+00 -2 -3 2550 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9474482536315918e-01 3.4619376063346863e-01
-            -2.8969791531562805e-01 8.9516305923461914e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9581577301025391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2551 5.3500000000000000e+01 0 -1 2552
-            5.0000000000000000e-01 -2 -3 2553 1342.</internalNodes>
-          <leafValues>
-            2.5067508220672607e-01 -2.0224566757678986e-01
-            -8.1104308366775513e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.8948894500732422e+01</treeThreshold>
-          <internalNodes>
-            1 2 2554 3.7500000000000000e+01 0 -1 2555
-            2.5500000000000000e+01 -2 -3 2556 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1159039437770844e-01 -6.3268536329269409e-01
-            2.9823055863380432e-01 -4.7319912910461426e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8807991027832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2557 5.0000000000000000e-01 0 -1 2558
-            1.6500000000000000e+01 -2 -3 2559 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.5869261026382446e-01 -8.1530493497848511e-01
-            2.9593425989151001e-01 -1.4090000092983246e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9417499542236328e+01</treeThreshold>
-          <internalNodes>
-            1 2 2560 3.2500000000000000e+01 0 -1 2561
-            3.7750000000000000e+02 -2 -3 2562 75.</internalNodes>
-          <leafValues>
-            3.8758099079132080e-01 -2.1584044396877289e-01
-            6.0950559377670288e-01 -8.6360347270965576e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9395267486572266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2563 3.8250000000000000e+02 0 -1 2564
-            8.5000000000000000e+00 -2 -3 2565 5.7450000000000000e+02</internalNodes>
-          <leafValues>
-            1.0727138072252274e-01 -9.5441406965255737e-01
-            7.1632760763168335e-01 -2.2229373455047607e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.9514354705810547e+01</treeThreshold>
-          <internalNodes>
-            1 2 2566 1.9950000000000000e+02 0 -1 2567
-            2.5500000000000000e+01 -2 -3 2568 2.</internalNodes>
-          <leafValues>
-            -5.9233713150024414e-01 1.1908496916294098e-01 1.
-            -9.8158216476440430e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0169723510742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2569 2.8150000000000000e+02 0 -1 2570
-            2.8050000000000000e+02 -2 -3 2571 3.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -2.3387852311134338e-01 6.5537095069885254e-01
-            -4.8421013355255127e-01 2.2264781594276428e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0158332824707031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2572 7.0500000000000000e+01 0 -1 2573 13. -2 -3 2574
-            1.7650000000000000e+02</internalNodes>
-          <leafValues>
-            1. -9.1182774305343628e-01 6.4647716283798218e-01
-            -1.1392616666853428e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.0164875030517578e+01</treeThreshold>
-          <internalNodes>
-            1 2 2575 1.0500000000000000e+01 0 -1 2576
-            6.5000000000000000e+00 -2 -3 2577 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1000970602035522e-01 1.9136555492877960e-01
-            5.6798326969146729e-01 -1.2325727939605713e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0000015258789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2578 1.8500000000000000e+01 0 -1 2579
-            1.8550000000000000e+02 -2 -3 2580 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.5650675296783447e-01 -1.7031535506248474e-01
-            -3.4968420863151550e-01 2.8920692205429077e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9847770690917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2581 7.5500000000000000e+01 0 -1 2582
-            4.5000000000000000e+00 -2 -3 2583 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.5224465727806091e-01 6.9837278127670288e-01
-            8.2906544208526611e-01 -6.7065995931625366e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9407840728759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 2584 6.5000000000000000e+00 0 -1 2585
-            3.2500000000000000e+01 -2 -3 2586 2.7750000000000000e+02</internalNodes>
-          <leafValues>
-            -1.4858660101890564e-01 4.5175358653068542e-01
-            3.0660414695739746e-01 -4.3992885947227478e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9727443695068359e+01</treeThreshold>
-          <internalNodes>
-            1 2 2587 5.5000000000000000e+00 0 -1 2588
-            3.5000000000000000e+00 -2 -3 2589 2.0650000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2537873983383179e-01 5.8647280931472778e-01
-            -1.5209920704364777e-01 3.1960240006446838e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0010757446289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2590 4.1850000000000000e+02 0 -1 2591
-            1.0550000000000000e+02 -2 -3 2592 2.8650000000000000e+02</internalNodes>
-          <leafValues>
-            1.0595235042273998e-02 6.2895303964614868e-01
-            1.7578537762165070e-01 -6.4835780858993530e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0163875579833984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2593 1.1500000000000000e+01 0 -1 2594
-            1.3950000000000000e+02 -2 -3 2595 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.5311945974826813e-01 -1. 3.8898807764053345e-01
-            -6.8376713991165161e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0612895965576172e+01</treeThreshold>
-          <internalNodes>
-            1 2 2596 6.5000000000000000e+00 0 -1 2597
-            7.5000000000000000e+00 -2 -3 2598 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.1192434281110764e-01 -4.8998862504959106e-01
-            4.4902092218399048e-01 -2.1356025338172913e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0593112945556641e+01</treeThreshold>
-          <internalNodes>
-            1 2 2599 7.5000000000000000e+00 0 -1 2600
-            2.5500000000000000e+01 -2 -3 2601 5.2550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2332719564437866e-01 2.7156946063041687e-01
-            -2.6419401168823242e-01 3.0316945910453796e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0419368743896484e+01</treeThreshold>
-          <internalNodes>
-            1 2 2602 1414. 0 -1 2603 5.0000000000000000e-01 -2 -3 2604
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.2086572051048279e-01 -1.7374682426452637e-01
-            3.9743113517761230e-01 -8.2090038061141968e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0365997314453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2605 5.5000000000000000e+00 0 -1 2606
-            9.4500000000000000e+01 -2 -3 2607 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3367935121059418e-02 -7.2029197216033936e-01
-            5.0103998184204102e-01 -5.2485477924346924e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0689079284667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2608 2.5000000000000000e+00 0 -1 2609
-            1.5000000000000000e+00 -2 -3 2610 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3278533220291138e-01 3.5384011268615723e-01
-            3.2307976484298706e-01 -1.4563784003257751e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0867687225341797e+01</treeThreshold>
-          <internalNodes>
-            1 2 2611 9.5000000000000000e+00 0 -1 2612 599. -2 -3 2613
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5348321199417114e-01 -7.7523887157440186e-01
-            1.7860861122608185e-01 -6.8781971931457520e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0617588043212891e+01</treeThreshold>
-          <internalNodes>
-            1 2 2614 3.5000000000000000e+00 0 -1 2615
-            3.5000000000000000e+00 -2 -3 2616 29.</internalNodes>
-          <leafValues>
-            -6.8590456247329712e-01 -4.1165366768836975e-02
-            -7.8714710474014282e-01 2.2933968901634216e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0553024291992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2617 5.0000000000000000e-01 0 -1 2618
-            8.5000000000000000e+00 -2 -3 2619 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            7.2095865011215210e-01 -1.0256516933441162e-01
-            -2.7349776029586792e-01 5.0410771369934082e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0395980834960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2620 4.5000000000000000e+00 0 -1 2621
-            1.5500000000000000e+01 -2 -3 2622 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.5106821451336145e-03 -6.8456047773361206e-01
-            -1.5704339742660522e-01 4.0133151412010193e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9962356567382812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2623 2.5000000000000000e+00 0 -1 2624
-            3.5000000000000000e+00 -2 -3 2625 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5895889401435852e-01 3.6360222101211548e-01
-            -4.3362265825271606e-01 1.4346121251583099e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0286312103271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 2626 237. 0 -1 2627 1.4050000000000000e+02 -2 -3 2628
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2395470142364502e-01 -1.2447713315486908e-01 1.
-            -9.4700473546981812e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0432418823242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2629 1.3025000000000000e+03 0 -1 2630
-            2.5000000000000000e+00 -2 -3 2631 8.7350000000000000e+02</internalNodes>
-          <leafValues>
-            1.4610382914543152e-01 -5.0863313674926758e-01
-            6.1481702327728271e-01 -7.1987234055995941e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.0589881896972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2632 4.5000000000000000e+00 0 -1 2633
-            9.5000000000000000e+00 -2 -3 2634 1.9150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.7591598033905029e-01 1. -6.5265017747879028e-01
-            1.5746453404426575e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1252899169921875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2635 2.9250000000000000e+02 0 -1 2636
-            5.8450000000000000e+02 -2 -3 2637 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3597718924283981e-02 6.6301667690277100e-01
-            4.5846205949783325e-01 -3.1099578738212585e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1492858886718750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2638 7.5000000000000000e+00 0 -1 2639
-            2.9500000000000000e+01 -2 -3 2640 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6869207024574280e-01 3.3420211076736450e-01
-            4.7750937938690186e-01 -2.3987923562526703e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1205974578857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 2641 7.5000000000000000e+00 0 -1 2642
-            1.5000000000000000e+00 -2 -3 2643 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1257357001304626e-02 -9.2525291442871094e-01
-            2.6967108249664307e-01 -2.8688544034957886e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1789810180664062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2644 5.0000000000000000e-01 0 -1 2645
-            1.5000000000000000e+00 -2 -3 2646 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.2522415816783905e-01 5.8383584022521973e-01
-            -3.7811398506164551e-01 3.5324230790138245e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1241226196289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2647 1.3500000000000000e+01 0 -1 2648 43. -2 -3 2649
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.7132117152214050e-01 -5.4858577251434326e-01
-            5.6798547506332397e-01 -1.6644481569528580e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.1479743957519531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2650 3.5000000000000000e+00 0 -1 2651
-            2.1500000000000000e+01 -2 -3 2652 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2368954420089722e-01 2.3851761221885681e-01
-            -5.7994890213012695e-01 3.7476634979248047e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1004722595214844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2653 1.5000000000000000e+00 0 -1 2654
-            9.5000000000000000e+00 -2 -3 2655 2.0650000000000000e+02</internalNodes>
-          <leafValues>
-            3.5197860002517700e-01 -6.0150128602981567e-01
-            -4.7501891851425171e-01 1.0508991032838821e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1214889526367188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2656 4.1450000000000000e+02 0 -1 2657
-            1.5000000000000000e+00 -2 -3 2658 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0379047393798828e-01 2.1016710996627808e-01
-            -8.4449762105941772e-01 1.7173469066619873e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1464859008789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2659 2.5000000000000000e+00 0 -1 2660
-            3.4500000000000000e+01 -2 -3 2661 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5582450628280640e-01 -7.3183947801589966e-01
-            -4.9639618396759033e-01 2.4996897578239441e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1681930541992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2662 5.0000000000000000e-01 0 -1 2663
-            6.9500000000000000e+01 -2 -3 2664 2.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.9841169118881226e-01 1. 6.2449836730957031e-01
-            -6.4489036798477173e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.1654228210449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2665 2.7050000000000000e+02 0 -1 2666
-            5.5000000000000000e+00 -2 -3 2667 4.0950000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7079370021820068e-01 2.6282650232315063e-01
-            6.5214538574218750e-01 -2.7702366933226585e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2061069488525391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2668 2.5000000000000000e+00 0 -1 2669
-            5.0000000000000000e-01 -2 -3 2670 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.8327047824859619e-01 4.0684157609939575e-01
-            6.0355588793754578e-02 -5.0233304500579834e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1906791687011719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2671 1.5000000000000000e+00 0 -1 2672
-            1.5000000000000000e+00 -2 -3 2673 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.6696528196334839e-01 -4.6415984630584717e-01
-            3.4750485420227051e-01 -2.1522110700607300e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2178283691406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2674 3.9500000000000000e+01 0 -1 2675
-            8.5000000000000000e+00 -2 -3 2676 1.3750000000000000e+02</internalNodes>
-          <leafValues>
-            -1.5354898571968079e-01 3.0087256431579590e-01
-            6.2499260902404785e-01 -7.2910422086715698e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2438056945800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2677 6.5000000000000000e+00 0 -1 2678
-            8.5000000000000000e+00 -2 -3 2679 67.</internalNodes>
-          <leafValues>
-            -3.1217855215072632e-01 2.5977545976638794e-01
-            7.4574637413024902e-01 -1.9338005781173706e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2752281188964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2680 2.6650000000000000e+02 0 -1 2681
-            5.0000000000000000e-01 -2 -3 2682 1.3550000000000000e+02</internalNodes>
-          <leafValues>
-            3.1422150135040283e-01 -1.4777605235576630e-01
-            8.5186350345611572e-01 -8.3034658432006836e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2594532012939453e+01</treeThreshold>
-          <internalNodes>
-            1 2 2683 3.5500000000000000e+01 0 -1 2684
-            5.0000000000000000e-01 -2 -3 2685 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6120029985904694e-01 -3.1525397300720215e-01
-            7.8786081075668335e-01 -8.2956892251968384e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2900459289550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2686 9.5000000000000000e+00 0 -1 2687
-            5.0000000000000000e-01 -2 -3 2688 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.3722239732742310e-01 -6.2358045578002930e-01
-            -2.2625392675399780e-01 3.3588206768035889e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2587158203125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2689 1.5000000000000000e+00 0 -1 2690
-            8.5000000000000000e+00 -2 -3 2691 1.6450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1196434497833252e-01 3.7018314003944397e-01
-            -3.4325864911079407e-01 7.1064901351928711e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2978553771972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2692 5.0000000000000000e-01 0 -1 2693
-            7.5000000000000000e+00 -2 -3 2694 236.</internalNodes>
-          <leafValues>
-            -8.3526867628097534e-01 3.9139539003372192e-01
-            -2.7839684486389160e-01 6.4235913753509521e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2408267974853516e+01</treeThreshold>
-          <internalNodes>
-            1 2 2695 1.4050000000000000e+02 0 -1 2696 1639. -2 -3 2697
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.4244453907012939e-01 3.5902199149131775e-01
-            1.0501577705144882e-01 -4.8646318912506104e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2895637512207031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2698 1.4500000000000000e+01 0 -1 2699
-            8.5000000000000000e+00 -2 -3 2700 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.6988185495138168e-02 -7.1969383955001831e-01
-            4.8736768960952759e-01 -6.1925843358039856e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2663387298583984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2701 2.1500000000000000e+01 0 -1 2702
-            1.1500000000000000e+01 -2 -3 2703 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2029066085815430e-01 9.2440739274024963e-02
-            2.9415887594223022e-01 -2.3525267839431763e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2987194061279297e+01</treeThreshold>
-          <internalNodes>
-            1 2 2704 4.5000000000000000e+00 0 -1 2705
-            7.5500000000000000e+01 -2 -3 2706 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1. -9.0740150213241577e-01 3.2380592823028564e-01
-            -1.5268217027187347e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3587291717529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 2707 2.8500000000000000e+01 0 -1 2708
-            5.0000000000000000e-01 -2 -3 2709 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            8.2845188677310944e-02 -4.1826823353767395e-01
-            -1.8972435593605042e-01 6.0009866952896118e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3807559967041016e+01</treeThreshold>
-          <internalNodes>
-            1 2 2710 1.7050000000000000e+02 0 -1 2711
-            1.5000000000000000e+00 -2 -3 2712 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2606207430362701e-01 -3.2580971717834473e-01
-            -9.5029556751251221e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>6.3285655975341797e+01</treeThreshold>
-          <internalNodes>
-            1 2 2713 2.5000000000000000e+00 0 -1 2714
-            2.0500000000000000e+01 -2 -3 2715 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2190160751342773e-01 2.7798208594322205e-01
-            3.1544733047485352e-01 -2.2196403145790100e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3550678253173828e+01</treeThreshold>
-          <internalNodes>
-            1 2 2716 2052. 0 -1 2717 1.5000000000000000e+00 -2 -3 2718
-            2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8521814942359924e-01 -2.5548547506332397e-01
-            -7.0672160387039185e-01 7.2617936134338379e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3662876129150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2719 2.5500000000000000e+01 0 -1 2720
-            3.7500000000000000e+01 -2 -3 2721 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            9.2001825571060181e-02 -6.1267060041427612e-01
-            -7.6270443201065063e-01 2.8730672597885132e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3807342529296875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2722 1.5000000000000000e+00 0 -1 2723
-            1.5000000000000000e+00 -2 -3 2724 3.7150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3808377981185913e-01 3.7818792462348938e-01
-            -4.3305176496505737e-01 2.3701250553131104e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3842769622802734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2725 2.5000000000000000e+00 0 -1 2726
-            2.5000000000000000e+00 -2 -3 2727 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.1332137882709503e-01 -5.1461762189865112e-01
-            7.9907387495040894e-01 3.5429000854492188e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.3756759643554688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2728 1.9450000000000000e+02 0 -1 2729 1643. -2 -3 2730
-            1.9650000000000000e+02</internalNodes>
-          <leafValues>
-            1.4746785163879395e-01 -7.2807186841964722e-01
-            5.6145447492599487e-01 -8.6011424660682678e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.3733058929443359e+01</treeThreshold>
-          <internalNodes>
-            1 2 2731 8.3500000000000000e+01 0 -1 2732
-            1.0500000000000000e+01 -2 -3 2733 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3702777922153473e-02 5.4405170679092407e-01
-            -7.7169793844223022e-01 3.0090901255607605e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3680248260498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 2734 7.5000000000000000e+00 0 -1 2735
-            4.8500000000000000e+01 -2 -3 2736 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2809726446866989e-02 -7.8950524330139160e-01
-            5.1301914453506470e-01 -4.9866847693920135e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.3880180358886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2737 2.9015000000000000e+03 0 -1 2738
-            6.5000000000000000e+00 -2 -3 2739 8.7050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2026945352554321e-01 1.4022850990295410e-01
-            7.1531414985656738e-01 -1.1917709559202194e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3902549743652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2740 1.7500000000000000e+01 0 -1 2741 682. -2 -3 2742
-            1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2369438782334328e-02 7.8829252719879150e-01
-            -7.3855948448181152e-01 6.5198886394500732e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4139472961425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2743 1.5000000000000000e+00 0 -1 2744
-            2.5000000000000000e+00 -2 -3 2745 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6418927907943726e-01 7.0931375026702881e-01
-            -2.0525617897510529e-01 6.0997349023818970e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3896743774414062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2746 8.5000000000000000e+00 0 -1 2747
-            2.5000000000000000e+00 -2 -3 2748 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3710169196128845e-01 4.7477069497108459e-01
-            -3.1593173742294312e-01 4.8821964859962463e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3892070770263672e+01</treeThreshold>
-          <internalNodes>
-            1 2 2749 4.3750000000000000e+02 0 -1 2750
-            4.3150000000000000e+02 -2 -3 2751 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.6721110120415688e-03 8.8219249248504639e-01
-            -8.3383691310882568e-01 7.1565806865692139e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4291923522949219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2752 5.0000000000000000e-01 0 -1 2753
-            2.9350000000000000e+02 -2 -3 2754 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9044593572616577e-01 -3.5737776756286621e-01
-            -2.6983705163002014e-01 3.9985546469688416e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4444198608398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2755 2.5000000000000000e+00 0 -1 2756 496. -2 -3 2757
-            8.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2448130846023560e-01 1. 1.5226939320564270e-01
-            -7.8910803794860840e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4720268249511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2758 5.0000000000000000e-01 0 -1 2759
-            8.5000000000000000e+00 -2 -3 2760 1.6895000000000000e+03</internalNodes>
-          <leafValues>
-            -7.6469248533248901e-01 5.3199023008346558e-01
-            1.3163314759731293e-01 -3.6375212669372559e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4363922119140625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2761 2.0650000000000000e+02 0 -1 2762
-            5.0000000000000000e-01 -2 -3 2763 2.0850000000000000e+02</internalNodes>
-          <leafValues>
-            9.4482317566871643e-02 -4.8107957839965820e-01
-            6.4464539289474487e-01 -1.6706781089305878e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4417221069335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2764 5.7500000000000000e+01 0 -1 2765
-            1.5000000000000000e+00 -2 -3 2766 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.5109612941741943e-01 3.3447441458702087e-01
-            4.7835576534271240e-01 -7.7882848680019379e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.4584609985351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2767 1.2500000000000000e+01 0 -1 2768
-            5.0000000000000000e-01 -2 -3 2769 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4096364974975586e-01 1.6738529503345490e-01
-            -7.5967723131179810e-01 8.8292425870895386e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4760520935058594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2770 2.5000000000000000e+00 0 -1 2771
-            1.9050000000000000e+02 -2 -3 2772 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.6916040778160095e-01 5.8294248580932617e-01
-            5.0347501039505005e-01 -2.4913801252841949e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4607902526855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2773 1.7500000000000000e+01 0 -1 2774
-            9.5500000000000000e+01 -2 -3 2775 4.4350000000000000e+02</internalNodes>
-          <leafValues>
-            3.4941902756690979e-01 -6.4918982982635498e-01
-            -4.3396180868148804e-01 2.8290441632270813e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4527969360351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2776 5.0000000000000000e-01 0 -1 2777
-            4.3500000000000000e+01 -2 -3 2778 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4687822461128235e-01 -7.1882510185241699e-01
-            -7.9936116933822632e-02 -8.9642030000686646e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4619773864746094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2779 3.5000000000000000e+00 0 -1 2780
-            3.1500000000000000e+01 -2 -3 2781 3.9150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.1050511598587036e-01 1. 9.1801762580871582e-02
-            -9.1259324550628662e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4837570190429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2782 7.1500000000000000e+01 0 -1 2783
-            1.1500000000000000e+01 -2 -3 2784 1.7850000000000000e+02</internalNodes>
-          <leafValues>
-            -4.0079045295715332e-01 7.8354829549789429e-01
-            2.1779969334602356e-01 -9.3245065212249756e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4496871948242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2785 5.0000000000000000e-01 0 -1 2786
-            7.5000000000000000e+00 -2 -3 2787 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.1458779573440552e-01 -1.6905190050601959e-01
-            4.9135982990264893e-01 -3.4069874882698059e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5054672241210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2788 4.5000000000000000e+00 0 -1 2789
-            5.5000000000000000e+00 -2 -3 2790 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.2522678375244141e-01 3.4266743063926697e-01
-            5.5779844522476196e-01 -1.2484771758317947e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4687782287597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2791 5.3500000000000000e+01 0 -1 2792
-            1.5500000000000000e+01 -2 -3 2793 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6688560247421265e-01 2.1883730590343475e-01
-            2.1215963363647461e-01 -8.3708620071411133e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5208068847656250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2794 1.5000000000000000e+00 0 -1 2795
-            7.5000000000000000e+00 -2 -3 2796 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4749242067337036e-01 5.2028369903564453e-01
-            1.4320193231105804e-01 -3.6478173732757568e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5268638610839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2797 5.5000000000000000e+00 0 -1 2798
-            4.1500000000000000e+01 -2 -3 2799 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.3268040418624878e-01 -6.3441288471221924e-01
-            4.0759882330894470e-01 -8.2020364701747894e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5322891235351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2800 9.0500000000000000e+01 0 -1 2801
-            2.5000000000000000e+00 -2 -3 2802 1.8650000000000000e+02</internalNodes>
-          <leafValues>
-            2.2344470024108887e-01 -2.9277965426445007e-01
-            -9.6397489309310913e-01 5.7233071327209473e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5454887390136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2803 2.0500000000000000e+01 0 -1 2804
-            2.5000000000000000e+00 -2 -3 2805 4.</internalNodes>
-          <leafValues>
-            -6.3367128372192383e-01 1.3200259208679199e-01
-            -9.4963890314102173e-01 4.6485623717308044e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5903160095214844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2806 2.5000000000000000e+00 0 -1 2807
-            3.8500000000000000e+01 -2 -3 2808 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4826710224151611e-01 -7.7937543392181396e-01
-            -5.1449149847030640e-01 1.0056205093860626e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6093971252441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2809 2.5175000000000000e+03 0 -1 2810 6717. -2 -3 2811
-            2.0650000000000000e+02</internalNodes>
-          <leafValues>
-            -3.9923682808876038e-02 9.1757839918136597e-01
-            -5.2093452215194702e-01 1.9081139564514160e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6034652709960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2812 2.5000000000000000e+00 0 -1 2813
-            3.5000000000000000e+00 -2 -3 2814 3.3150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.6858395338058472e-01 3.2895866036415100e-01
-            -3.3519825339317322e-01 6.6958039999008179e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6225700378417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2815 2.0500000000000000e+01 0 -1 2816
-            7.5000000000000000e+00 -2 -3 2817 1.0350000000000000e+02</internalNodes>
-          <leafValues>
-            1.6298887133598328e-01 -7.7439045906066895e-01
-            2.3633432388305664e-01 -4.2903181910514832e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6216186523437500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2818 2.5000000000000000e+00 0 -1 2819
-            5.8500000000000000e+01 -2 -3 2820 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1922865509986877e-01 -4.7555354237556458e-01
-            -3.8529956340789795e-01 3.8940200209617615e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5891036987304688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2821 5.5000000000000000e+00 0 -1 2822
-            8.3500000000000000e+01 -2 -3 2823 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2532903552055359e-01 -4.5672222971916199e-01
-            -5.5388760566711426e-01 1.9246758520603180e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5877616882324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2824 6.5000000000000000e+00 0 -1 2825
-            5.6550000000000000e+02 -2 -3 2826 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.6332885026931763e-01 -1.3426670804619789e-02
-            -7.4143958091735840e-01 8.1064927577972412e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6143356323242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2827 3.7450000000000000e+02 0 -1 2828
-            3.5000000000000000e+00 -2 -3 2829 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            6.8982642889022827e-01 -8.5442638397216797e-01
-            2.6574078202247620e-01 -2.8088992834091187e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6746147155761719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2830 1.9650000000000000e+02 0 -1 2831
-            2.0650000000000000e+02 -2 -3 2832 1.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -4.7177043557167053e-01 1. 6.5734672546386719e-01
-            -5.5299658328294754e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.6317184448242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2833 3.5000000000000000e+00 0 -1 2834
-            6.5000000000000000e+00 -2 -3 2835 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2896154522895813e-01 1.9346684217453003e-01
-            -4.7202244400978088e-01 4.7573706507682800e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6482894897460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2836 2.3500000000000000e+01 0 -1 2837
-            5.7050000000000000e+02 -2 -3 2838 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.4143189191818237e-01 1.6571453213691711e-01
-            2.8583261370658875e-01 -7.6734077930450439e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6698379516601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2839 1.9650000000000000e+02 0 -1 2840
-            9.8450000000000000e+02 -2 -3 2841 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.8686957955360413e-02 6.8865406513214111e-01
-            1.6092415153980255e-01 -4.5511838793754578e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7053703308105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2842 9.5000000000000000e+00 0 -1 2843
-            3.4050000000000000e+02 -2 -3 2844 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7897639274597168e-01 8.3814328908920288e-01
-            3.5532349348068237e-01 -1.6980881989002228e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7309471130371094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2845 2.8050000000000000e+02 0 -1 2846
-            3.5000000000000000e+00 -2 -3 2847 7.9050000000000000e+02</internalNodes>
-          <leafValues>
-            5.3537392616271973e-01 -1.3895300030708313e-01
-            -6.1582380533218384e-01 5.4094051010906696e-03</leafValues></_>
-        <_>
-          <treeThreshold>6.7479339599609375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2848 2.5000000000000000e+00 0 -1 2849
-            2.5000000000000000e+00 -2 -3 2850 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 5.5264580249786377e-01 1.6986495256423950e-01
-            -4.1565752029418945e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7149955749511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2851 4.5000000000000000e+00 0 -1 2852
-            1.8500000000000000e+01 -2 -3 2853 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.9663683772087097e-01 3.3515587449073792e-01
-            4.6553504467010498e-01 -8.7602093815803528e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7272407531738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2854 237. 0 -1 2855 1.0500000000000000e+01 -2 -3 2856
-            2.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -1.5763807296752930e-01 2.8533494472503662e-01
-            6.8770086765289307e-01 -9.8898959159851074e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6949989318847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2857 1.0500000000000000e+01 0 -1 2858
-            2.4850000000000000e+02 -2 -3 2859 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6148981451988220e-01 -3.2241418957710266e-01
-            -5.9701257944107056e-01 6.3962835073471069e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7259635925292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2860 5.0000000000000000e-01 0 -1 2861
-            5.5000000000000000e+00 -2 -3 2862 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.0473339557647705e-01 -9.0566039085388184e-01
-            3.0964154005050659e-01 -1.4670071005821228e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7172332763671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2863 1.2500000000000000e+01 0 -1 2864
-            1.5500000000000000e+01 -2 -3 2865 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.6961383819580078e-01 5.7878249883651733e-01
-            4.8450264334678650e-01 -8.7298728525638580e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7815200805664062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2866 1.1500000000000000e+01 0 -1 2867
-            3.1500000000000000e+01 -2 -3 2868 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.8206365108489990e-01 4.7012288123369217e-02
-            7.4164730310440063e-01 -3.0158874392509460e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7794479370117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2869 8.5000000000000000e+00 0 -1 2870
-            1.5000000000000000e+00 -2 -3 2871 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6158957481384277e-01 -5.1054544746875763e-02
-            -6.3606274127960205e-01 3.5886037349700928e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7871452331542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2872 5.5000000000000000e+00 0 -1 2873
-            5.5750000000000000e+02 -2 -3 2874 3209.</internalNodes>
-          <leafValues>
-            7.5514155626296997e-01 -6.2665617465972900e-01
-            1.7917767167091370e-01 -7.6869279146194458e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7681411743164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2875 1.0650000000000000e+02 0 -1 2876
-            3.9550000000000000e+02 -2 -3 2877 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.4955825805664062e-01 -2.9224312305450439e-01
-            -8.0019611120223999e-01 5.1831835508346558e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7658134460449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2878 6.2450000000000000e+02 0 -1 2879
-            3.0500000000000000e+01 -2 -3 2880 7.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 1. 7.4804317951202393e-01 -2.3278422653675079e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7805534362792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2881 1.4650000000000000e+02 0 -1 2882
-            5.0000000000000000e-01 -2 -3 2883 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3743829727172852e-01 1.4740309119224548e-01
-            -8.2422167062759399e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>6.7852165222167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2884 5.0000000000000000e-01 0 -1 2885
-            9.5000000000000000e+00 -2 -3 2886 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1376032829284668e-01 7.3264604806900024e-01
-            -2.5961226224899292e-01 3.9754027128219604e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8086799621582031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2887 3.2500000000000000e+01 0 -1 2888
-            1.5000000000000000e+00 -2 -3 2889 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.6609417200088501e-01 -1.0678847134113312e-01
-            -8.1009173393249512e-01 6.5037436783313751e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.8214500427246094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2890 5.0000000000000000e-01 0 -1 2891
-            4.5000000000000000e+00 -2 -3 2892 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.0979951620101929e-01 3.1051525473594666e-01
-            -8.2302808761596680e-01 1.2769748270511627e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7917503356933594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2893 4.2350000000000000e+02 0 -1 2894
-            2.2875000000000000e+03 -2 -3 2895 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0313944220542908e-02 8.5728436708450317e-01
-            -2.9699394106864929e-01 8.5103875398635864e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8314117431640625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2896 1.5000000000000000e+00 0 -1 2897 53. -2 -3 2898
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9660894870758057e-01 -9.0774112939834595e-01
-            1.2309800088405609e-01 -4.6573173999786377e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8401733398437500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2899 1.9450000000000000e+02 0 -1 2900
-            2.3500000000000000e+01 -2 -3 2901 3.9050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.7891708612442017e-01 9.1515809297561646e-01
-            6.9994968175888062e-01 -4.3836530297994614e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.8536247253417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2902 1.8650000000000000e+02 0 -1 2903
-            7.5000000000000000e+00 -2 -3 2904 2.6650000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9809150695800781e-01 1.3451172411441803e-01 1.
-            -9.9006718397140503e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8994667053222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2905 5.0000000000000000e-01 0 -1 2906
-            5.5000000000000000e+00 -2 -3 2907 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.2326274216175079e-01 4.5842617750167847e-01
-            6.2888121604919434e-01 -3.4905898571014404e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8767745971679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2908 9.5000000000000000e+00 0 -1 2909
-            5.5000000000000000e+00 -2 -3 2910 1.2255000000000000e+03</internalNodes>
-          <leafValues>
-            2.2254677116870880e-01 -2.8151977062225342e-01
-            -9.0560692548751831e-01 9.0504884719848633e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8525566101074219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2911 3.2500000000000000e+01 0 -1 2912
-            4.5000000000000000e+00 -2 -3 2913 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.7538121212273836e-03 -6.9165170192718506e-01
-            5.7820391654968262e-01 -2.5509628653526306e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8883575439453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2914 6.5000000000000000e+00 0 -1 2915
-            5.0000000000000000e-01 -2 -3 2916 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.3683679699897766e-01 -5.6018638610839844e-01
-            -3.3692777156829834e-01 3.5801160335540771e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8840766906738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2917 5.0000000000000000e-01 0 -1 2918
-            5.2500000000000000e+01 -2 -3 2919 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            7.7966368198394775e-01 2.0057722926139832e-02
-            -2.8223827481269836e-01 4.5779809355735779e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9032073974609375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2920 7.5000000000000000e+00 0 -1 2921
-            2.9500000000000000e+01 -2 -3 2922 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2170667648315430e-01 1. 3.5735762119293213e-01
-            -1.0750242322683334e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8714004516601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2923 1.8500000000000000e+01 0 -1 2924
-            1.2500000000000000e+01 -2 -3 2925 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3622247576713562e-01 -6.2772291898727417e-01
-            -5.2963131666183472e-01 2.7689251303672791e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8882164001464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2926 219. 0 -1 2927 3.0950000000000000e+02 -2 -3 2928
-            1.1450000000000000e+02</internalNodes>
-          <leafValues>
-            1.6816329956054688e-01 -3.7265399098396301e-01
-            -9.0168434381484985e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>6.8773300170898438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2929 1.0500000000000000e+01 0 -1 2930
-            2.2500000000000000e+01 -2 -3 2931 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.8473842144012451e-01 1.2849690020084381e-01
-            3.7842509150505066e-01 -1.0886743664741516e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8523002624511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2932 4.5000000000000000e+00 0 -1 2933
-            2.5000000000000000e+00 -2 -3 2934 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.6240028142929077e-01 -8.6381016299128532e-03
-            5.5950272083282471e-01 -6.6527374088764191e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.8540222167968750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2935 2.5000000000000000e+00 0 -1 2936
-            4.5000000000000000e+00 -2 -3 2937 7.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.5429468750953674e-01 4.7208651900291443e-01
-            1.7222335562109947e-02 -6.1873370409011841e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8054306030273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2938 1.0250000000000000e+02 0 -1 2939
-            7.5000000000000000e+00 -2 -3 2940 2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            1.3330066204071045e-01 -4.8592099547386169e-01
-            6.4965671300888062e-01 -3.7294719368219376e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.8587783813476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2941 2.9500000000000000e+01 0 -1 2942
-            6.3500000000000000e+01 -2 -3 2943 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.2070726752281189e-01 6.4551812410354614e-01
-            -6.1110073328018188e-01 5.3347945213317871e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8991744995117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2944 4.5000000000000000e+00 0 -1 2945
-            7.5000000000000000e+00 -2 -3 2946 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.6733403503894806e-01 4.0395921468734741e-01
-            3.4822711348533630e-01 -4.4277858734130859e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9024818420410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2947 1054. 0 -1 2948 2.9645000000000000e+03 -2 -3 2949
-            4.8550000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 8.5014098882675171e-01 -5.8178287744522095e-01
-            3.3078812062740326e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9566368103027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2950 5.0000000000000000e-01 0 -1 2951
-            5.5000000000000000e+00 -2 -3 2952 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.9729833584278822e-03 6.8332517147064209e-01
-            -4.2742264270782471e-01 2.2634387016296387e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9610260009765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2953 1.6950000000000000e+02 0 -1 2954
-            2.5000000000000000e+00 -2 -3 2955 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9216127991676331e-01 -9.7884893417358398e-02
-            -9.5070320367813110e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>6.9546066284179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2956 1.0500000000000000e+01 0 -1 2957
-            8.5000000000000000e+00 -2 -3 2958 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4745219945907593e-01 6.7914712429046631e-01
-            -6.1746150255203247e-01 1.7846804857254028e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9931442260742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2959 1.5500000000000000e+01 0 -1 2960 581. -2 -3 2961
-            881.</internalNodes>
-          <leafValues>
-            3.8537198305130005e-01 -4.9864691495895386e-01
-            -5.2889358997344971e-01 7.6011091470718384e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.0310058593750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2962 9.5000000000000000e+00 0 -1 2963
-            6.5000000000000000e+00 -2 -3 2964 3.8450000000000000e+02</internalNodes>
-          <leafValues>
-            1.3596023619174957e-01 -4.2733094096183777e-01
-            5.0578802824020386e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>7.0192367553710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2965 1.0500000000000000e+01 0 -1 2966
-            3.5000000000000000e+00 -2 -3 2967 1.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4998342990875244e-01 2.7843931317329407e-01
-            4.3058690428733826e-01 -1.1769727617502213e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9951408386230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2968 8.8250000000000000e+02 0 -1 2969
-            6.0150000000000000e+02 -2 -3 2970 1459.</internalNodes>
-          <leafValues>
-            -4.1208836436271667e-01 1.3212314248085022e-01
-            7.5216329097747803e-01 4.9172616563737392e-03</leafValues></_>
-        <_>
-          <treeThreshold>6.9623153686523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2971 5.0000000000000000e-01 0 -1 2972
-            2.5000000000000000e+00 -2 -3 2973 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2825407385826111e-01 4.7693637013435364e-01
-            -2.9572629928588867e-01 3.7341046333312988e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0125137329101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2974 5.0000000000000000e-01 0 -1 2975
-            3.1500000000000000e+01 -2 -3 2976 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.9827795028686523e-01 6.5693438053131104e-01
-            5.0198370218276978e-01 -1.0436290502548218e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0039115905761719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2977 1.3500000000000000e+01 0 -1 2978
-            2.3500000000000000e+01 -2 -3 2979 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.4431791305541992e-01 1. 4.4658949971199036e-01
-            -8.6022958159446716e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.0156913757324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2980 5.0000000000000000e-01 0 -1 2981
-            3.5000000000000000e+00 -2 -3 2982 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4146528244018555e-01 6.7168194055557251e-01
-            -4.8114633560180664e-01 3.8386128842830658e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.0207313537597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2983 7.6500000000000000e+01 0 -1 2984
-            1.9650000000000000e+02 -2 -3 2985 270.</internalNodes>
-          <leafValues>
-            3.9014890789985657e-01 -1.0452992469072342e-01
-            6.6388440132141113e-01 -6.9735282659530640e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0389663696289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2986 2.7500000000000000e+01 0 -1 2987
-            1.5000000000000000e+00 -2 -3 2988 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.2635735571384430e-01 -6.3035410642623901e-01
-            -8.5632139444351196e-01 1.8234945833683014e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0754112243652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2989 6.5000000000000000e+00 0 -1 2990
-            1.9500000000000000e+01 -2 -3 2991 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.6445134878158569e-01 -3.0069667100906372e-01
-            7.7127411961555481e-02 -5.1235681772232056e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0504135131835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2992 1.3500000000000000e+01 0 -1 2993
-            1.5500000000000000e+01 -2 -3 2994 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4998134374618530e-01 4.6560180187225342e-01
-            -6.1666029691696167e-01 6.5309768915176392e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0445526123046875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2995 6.5000000000000000e+00 0 -1 2996
-            6.9500000000000000e+01 -2 -3 2997 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0786228179931641e-01 -6.0552901029586792e-01
-            5.3606212139129639e-02 -5.8309459686279297e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0407524108886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2998 1.5000000000000000e+00 0 -1 2999
-            1.0500000000000000e+01 -2 -3 3000 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.0116474628448486e-01 6.0916137695312500e-01
-            6.4076530933380127e-01 -3.8002632558345795e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.0560409545898438e+01</treeThreshold>
-          <internalNodes>
-            1 2 3001 1.5500000000000000e+01 0 -1 3002 17. -2 -3 3003
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2674514055252075e-01 -6.5563476085662842e-01
-            -9.1981142759323120e-01 1.5288232266902924e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0493698120117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 3004 3.5000000000000000e+00 0 -1 3005
-            5.5000000000000000e+00 -2 -3 3006 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.7892476916313171e-01 4.8387104272842407e-01
-            -7.3338449001312256e-01 -4.8672512173652649e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.0596115112304688e+01</treeThreshold>
-          <internalNodes>
-            1 2 3007 5.0000000000000000e-01 0 -1 3008
-            2.2500000000000000e+01 -2 -3 3009 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6702525019645691e-01 -7.1555072069168091e-01
-            -4.6292027831077576e-01 1.0242109745740891e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0788101196289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 3010 888. 0 -1 3011 2.8350000000000000e+02 -2 -3 3012
-            5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9198547303676605e-01 -3.3554536104202271e-01
-            7.5706630945205688e-01 -9.4958788156509399e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0992675781250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 3013 4.6500000000000000e+01 0 -1 3014
-            1.1500000000000000e+01 -2 -3 3015 3.8350000000000000e+02</internalNodes>
-          <leafValues>
-            5.8137912303209305e-02 -8.1196117401123047e-01
-            -5.8893513679504395e-01 2.0457436144351959e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0927970886230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 3016 4.5000000000000000e+00 0 -1 3017
-            3.7500000000000000e+01 -2 -3 3018 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.4707726240158081e-02 -7.4383819103240967e-01
-            7.0274794101715088e-01 3.6739804781973362e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.0937110900878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 3019 1.8750000000000000e+02 0 -1 3020 368. -2 -3 3021
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 7.3944020271301270e-01 9.1391317546367645e-03
-            -5.9454476833343506e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1217323303222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 3022 1.2500000000000000e+01 0 -1 3023
-            1.5000000000000000e+00 -2 -3 3024 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.2053438425064087e-01 -8.6623835563659668e-01
-            2.8021961450576782e-01 -2.7525502443313599e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1467041015625000e+01</treeThreshold>
-          <internalNodes>
-            1 2 3025 7.5500000000000000e+01 0 -1 3026
-            2.8500000000000000e+01 -2 -3 3027 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2027494311332703e-01 5.5862784385681152e-01
-            3.1650352478027344e-01 -5.8407008647918701e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1588317871093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 3028 4.5000000000000000e+00 0 -1 3029
-            6.5000000000000000e+00 -2 -3 3030 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.1601717472076416e-01 4.5779439806938171e-01
-            2.2142156958580017e-01 -3.8868919014930725e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1852600097656250e+01</treeThreshold>
-          <internalNodes>
-            1 2 3031 8.7500000000000000e+01 0 -1 3032
-            2.9500000000000000e+01 -2 -3 3033 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2233885526657104e-02 5.3140532970428467e-01
-            -9.3469631671905518e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>7.1505233764648438e+01</treeThreshold>
-          <internalNodes>
-            1 2 3034 5.0000000000000000e-01 0 -1 3035
-            6.5000000000000000e+00 -2 -3 3036 1.7255000000000000e+03</internalNodes>
-          <leafValues>
-            3.3586502075195312e-01 -5.8553379774093628e-01
-            -5.2456873655319214e-01 6.7789293825626373e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.1216247558593750e+01</treeThreshold>
-          <internalNodes>
-            1 2 3037 1.3850000000000000e+02 0 -1 3038
-            2.1500000000000000e+01 -2 -3 3039 8.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -4.7844988107681274e-01 6.2551170587539673e-01
-            3.5149163007736206e-01 -2.8898537158966064e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1451400756835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 3040 2.7750000000000000e+02 0 -1 3041
-            7.5000000000000000e+00 -2 -3 3042 1.2150000000000000e+02</internalNodes>
-          <leafValues>
-            3.0562061071395874e-01 -5.7451391220092773e-01
-            2.3515534400939941e-01 -5.9030193090438843e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1664764404296875e+01</treeThreshold>
-          <internalNodes>
-            1 2 3043 2.5000000000000000e+00 0 -1 3044
-            2.6500000000000000e+01 -2 -3 3045 5.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2273312807083130e-01 1. 2.1336206793785095e-01
-            -2.3929618299007416e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1852516174316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 3046 2.0550000000000000e+02 0 -1 3047
-            1.5000000000000000e+00 -2 -3 3048 1.0150000000000000e+02</internalNodes>
-          <leafValues>
-            2.9846069216728210e-01 -4.9547702074050903e-01
-            6.2601786851882935e-01 -2.5054400321096182e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.1862113952636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 3049 2.5000000000000000e+00 0 -1 3050
-            6.5000000000000000e+00 -2 -3 3051 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3387494087219238e-01 5.1528376340866089e-01
-            4.0370386838912964e-01 -1.0111065953969955e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1967544555664062e+01</treeThreshold>
-          <internalNodes>
-            1 2 3052 1.7500000000000000e+01 0 -1 3053 311. -2 -3 3054
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8867423534393311e-01 2.3968809843063354e-01
-            -8.3167719841003418e-01 3.0170908570289612e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2000297546386719e+01</treeThreshold>
-          <internalNodes>
-            1 2 3055 1.0500000000000000e+01 0 -1 3056
-            2.8500000000000000e+01 -2 -3 3057 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.0150995105504990e-01 5.2106666564941406e-01
-            4.5249879360198975e-01 -5.5006933212280273e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2459365844726562e+01</treeThreshold>
-          <internalNodes>
-            1 2 3058 3.2535000000000000e+03 0 -1 3059
-            6.4450000000000000e+02 -2 -3 3060 4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.9244979843497276e-02 7.8562206029891968e-01
-            -9.7256761789321899e-01 6.8540745973587036e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2652557373046875e+01</treeThreshold>
-          <internalNodes>
-            1 2 3061 5.0000000000000000e-01 0 -1 3062
-            1.9455000000000000e+03 -2 -3 3063 8.3950000000000000e+02</internalNodes>
-          <leafValues>
-            3.9193862676620483e-01 -5.5309027433395386e-01
-            -3.6735993623733521e-01 2.9874709248542786e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2714279174804688e+01</treeThreshold>
-          <internalNodes>
-            1 2 3064 3.5000000000000000e+00 0 -1 3065
-            1.3500000000000000e+01 -2 -3 3066 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.2343889474868774e-01 3.5922548174858093e-01
-            4.0484932065010071e-01 -9.4865411520004272e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.2773506164550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 3067 7.1450000000000000e+02 0 -1 3068
-            1.1165000000000000e+03 -2 -3 3069 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.4480955898761749e-01 5.5192404985427856e-01
-            -4.6364155411720276e-01 9.9115431308746338e-02</leafValues></_></trees>
-      <features>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 3 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 2 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 6 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 5 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 3 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 12 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 10 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 8 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 1 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 5 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 4 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 1 6 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 6 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 5 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 7 4 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 6 4 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 12 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 10 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 10 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 10 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 7 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 13 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 6 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 3 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 2 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 8 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 12 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 6 1 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 8 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 9 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 3 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 5 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 9 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 4 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 13 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 7 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 12 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 5 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 12 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 7 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 0 5 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 1 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 7 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 3 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 6 6 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 4 4 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 2 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 7 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 3 6 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 0 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 10 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 8 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 1 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 10 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 1 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 3 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 0 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 1 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 10 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 4 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 12 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 9 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 4 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 9 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 2 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 0 6 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 3 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 9 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 12 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 2 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 6 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 13 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 3 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 10 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 12 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 11 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 5 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 4 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 3 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 10 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 8 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 13 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 12 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 3 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 2 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 4 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 1 4 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 9 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 1 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 11 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 8 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 1 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 1 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 8 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 2 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 0 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 2 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 1 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 13 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 3 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 12 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 10 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 6 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 7 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 11 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 10 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 9 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 3 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 12 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 7 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 12 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 4 7 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 8 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 8 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 1 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 6 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 1 5 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 3 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 11 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 9 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 8 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 0 1 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 4 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 3 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 13 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 8 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 8 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 4 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 3 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 2 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 9 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 5 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 7 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 2 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 2 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 7 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 0 5 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 2 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 2 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 2 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 2 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 8 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 6 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 12 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 7 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 12 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 2 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 9 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 4 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 4 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 3 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 4 3 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 13 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 6 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 1 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 11 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 3 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 12 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 1 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 11 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 11 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 2 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 1 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 6 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 11 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 5 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 2 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 7 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 3 3 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 13 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 12 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 1 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 2 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 2 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 4 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 6 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 4 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 8 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 4 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 6 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 2 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 14 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 2 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 5 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 6 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 4 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 1 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 2 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 8 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 4 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 7 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 1 5 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 13 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 2 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 10 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 11 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 1 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 11 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 7 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 1 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 3 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 1 5 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 13 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 8 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 13 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 1 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 5 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 8 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 12 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 9 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 7 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 7 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 2 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 2 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 12 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 12 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 2 5 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 5 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 8 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 3 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 10 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 9 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 5 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 7 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 11 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 7 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 12 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 6 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 9 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 12 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 1 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 9 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 4 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 6 6 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 7 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 2 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 2 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 9 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 3 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 7 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 0 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 6 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 5 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 2 6 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 2 2 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 8 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 1 1 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 0 3 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 2 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 11 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 3 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 12 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 0 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 3 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 2 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 0 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 6 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 2 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 1 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 6 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 8 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 2 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 6 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 1 3 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 9 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 2 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 13 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 3 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 4 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 11 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 1 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 2 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 14 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 5 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 3 2 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 8 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 9 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 6 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 11 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 4 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 12 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 1 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 10 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 5 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 11 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 9 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 11 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 9 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 8 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 5 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 3 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 1 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 3 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 6 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 8 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 10 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 1 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 1 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 1 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 6 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 7 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 8 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 1 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 6 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 7 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 5 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 7 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 2 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 10 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 3 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 5 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 5 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 10 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 1 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 13 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 3 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 1 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 1 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 8 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 12 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 10 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 10 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 4 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 2 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 13 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 7 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 8 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 3 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 0 2 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 6 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 13 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 3 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 6 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 3 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 9 6 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 0 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 8 4 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 7 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 9 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 2 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 3 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 0 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 1 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 3 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 5 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 11 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 6 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 1 3 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 4 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 10 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 6 2 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 1 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 2 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 4 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 0 4 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 4 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 2 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 0 1 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 7 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 4 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 11 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 12 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 9 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 5 3 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 1 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 8 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 6 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 9 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 12 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 1 1 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 10 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 3 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 8 4 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 5 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 3 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 3 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 12 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 11 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 5 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 10 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 7 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 10 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 11 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 2 1 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 8 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 11 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 6 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 2 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 12 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 2 7 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 6 4 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 0 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 9 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 12 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 4 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 7 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 6 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 3 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 8 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 6 4 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 0 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 2 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 3 2 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 12 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 2 3 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 2 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 2 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 1 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 3 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 7 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 1 6 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 5 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 8 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 11 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 5 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 1 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 3 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 7 5 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 4 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 2 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 7 1 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 2 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 3 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 2 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 9 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 1 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 3 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 13 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 3 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 3 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 3 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 8 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 11 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 3 2 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 0 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 13 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 7 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 13 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 5 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 3 6 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 2 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 5 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 10 6 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 13 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 13 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 4 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 9 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 1 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 11 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 7 6 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 1 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 1 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 6 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 2 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 8 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 13 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 8 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 3 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 6 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 5 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 13 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 10 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 2 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 6 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 1 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 10 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 4 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 7 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 8 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 1 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 7 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 6 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 13 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 5 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 7 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 9 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 2 5 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 12 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 11 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 4 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 6 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 9 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 1 2 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 9 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 1 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 14 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 11 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 10 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 3 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 3 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 7 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 3 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 3 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 0 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 13 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 1 6 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 2 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 3 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 1 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 3 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 3 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 4 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 6 3 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 12 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 2 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 11 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 2 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 10 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 13 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 6 6 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 13 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 9 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 9 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 13 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 0 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 2 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 9 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 10 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 13 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 8 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 2 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 7 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 8 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 4 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 6 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 6 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 9 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 7 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 9 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 5 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 4 2 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 10 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 3 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 6 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 14 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 12 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 13 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 11 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 8 6 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 1 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 8 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 1 5 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 3 2 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 12 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 11 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 9 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 8 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 12 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 9 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 9 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 4 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 6 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 6 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 1 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 1 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 4 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 12 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 7 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 4 2 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 11 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 2 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 2 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 1 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 7 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 4 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 2 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 9 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 1 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 1 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 13 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 4 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 1 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 12 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 5 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 1 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 12 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 1 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 8 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 2 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 9 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 6 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 5 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 8 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 6 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 2 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 6 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 3 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 10 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 3 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 6 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 10 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 5 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 13 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 12 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 0 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 2 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 3 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 9 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 4 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 10 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 4 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 4 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 0 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 14 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 1 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 9 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 13 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 3 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 9 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 1 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 3 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 11 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 6 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 2 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 2 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 8 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 0 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 1 6 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 6 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 4 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 3 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 3 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 2 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 3 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 5 6 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 8 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 6 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 13 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 5 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 5 2 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 13 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 7 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 7 3 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 6 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 4 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 10 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 2 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 0 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 4 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 9 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 2 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 4 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 12 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 4 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 5 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 10 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 5 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 6 6 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 2 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 11 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 2 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 12 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 8 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 1 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 4 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 6 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 2 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 13 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 12 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 14 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 4 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 7 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 7 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 12 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 5 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 12 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 9 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 8 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 0 1 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 0 2 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 7 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 0 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 5 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 1 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 5 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 13 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 8 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 4 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 7 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 4 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 1 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 7 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 7 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 6 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 1 4 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 11 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 14 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 2 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 12 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 1 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 12 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 5 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 4 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 0 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 3 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 10 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 13 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 7 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 3 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 4 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 2 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 8 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 4 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 3 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 5 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 0 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 11 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 7 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 13 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 8 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 3 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 9 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 4 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 3 5 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 9 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 13 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 6 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 13 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 1 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 8 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 3 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 6 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 13 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 5 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 13 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 1 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 10 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 9 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 7 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 7 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 0 6 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 7 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 12 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 2 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 1 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 9 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 3 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 8 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 9 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 5 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 9 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 1 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 13 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 0 5 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 12 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 3 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 12 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 7 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 11 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 9 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 3 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 11 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 1 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 2 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 9 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 9 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 8 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 7 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 5 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 2 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 3 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 7 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 2 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 12 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 4 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 3 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 2 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 7 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 11 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 3 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 3 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 1 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 12 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 8 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 13 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 6 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 1 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 8 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 6 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 12 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 6 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 2 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 5 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 2 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 9 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 4 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 0 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 10 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 10 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 12 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 7 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 0 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 12 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 1 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 4 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 2 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 6 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 2 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 4 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 11 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 13 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 2 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 13 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 12 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 5 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 8 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 13 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 3 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 2 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 11 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 1 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 5 5 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 8 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 5 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 8 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 9 3 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 14 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 11 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 0 6 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 13 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 6 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 1 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 8 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 0 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 1 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 5 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 3 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 2 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 1 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 4 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 8 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 5 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 2 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 2 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 4 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 2 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 12 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 6 1 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 5 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 9 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 10 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 2 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 2 3 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 13 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 8 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 14 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 11 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 12 5 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 3 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 9 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 2 3 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 9 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 4 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 6 3 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 9 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 9 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 4 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 9 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 0 1 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 11 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 8 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 7 5 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 3 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 2 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 5 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 2 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 10 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 7 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 3 5 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 6 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 1 1 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 0 3 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 9 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 0 6 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 7 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 8 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 1 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 7 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 4 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 6 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 2 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 10 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 14 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 6 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 1 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 1 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 13 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 6 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 4 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 1 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 8 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 1 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 5 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 4 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 14 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 0 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 2 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 2 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 6 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 5 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 5 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 8 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 4 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 2 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 0 2 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 11 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 9 4 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 6 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 2 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 3 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 8 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 1 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 12 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 1 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 3 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 14 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 4 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 2 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 2 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 4 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 1 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 6 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 9 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 5 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 7 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 13 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 5 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 3 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 0 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 9 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 9 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 9 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 2 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 8 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 0 2 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 10 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 5 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 5 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 1 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 6 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 7 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 2 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 3 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 12 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 12 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 13 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 1 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 4 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 7 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 2 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 8 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 1 1 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 1 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 3 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 13 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 6 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 8 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 7 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 2 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 0 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 3 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 14 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 8 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 7 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 5 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 8 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 13 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 10 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 11 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 4 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 4 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 4 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 6 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 5 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 10 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 2 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 6 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 7 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 9 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 2 1 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 10 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 10 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 7 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 1 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 9 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 9 5 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 7 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 13 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 4 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 5 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 0 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 2 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 6 5 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 8 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 6 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 7 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 4 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 6 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 5 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 6 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 4 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 10 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 10 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 4 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 5 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 4 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 6 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 13 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 11 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 6 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 12 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 11 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 2 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 14 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 8 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 1 6 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 13 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 12 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 13 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 3 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 13 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 3 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 7 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 7 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 13 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 4 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 6 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 7 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 9 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 12 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 14 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 2 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 2 1 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 9 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 11 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 1 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 7 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 13 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 13 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 6 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 2 2 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 2 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 6 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 9 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 9 7 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 1 1 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 14 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 2 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 8 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 3 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 1 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 0 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 1 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 5 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 1 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 11 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 12 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 12 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 11 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 6 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 7 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 5 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 1 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 4 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 14 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 13 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 6 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 7 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 2 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 3 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 0 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 4 3 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 0 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 1 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 5 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 2 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 3 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 11 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 2 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 1 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 10 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 11 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 6 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 13 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 0 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 13 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 3 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 4 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 4 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 10 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 0 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 6 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 6 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 7 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 6 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 5 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 1 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 4 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 4 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 0 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 12 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 6 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 14 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 5 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 9 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 13 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 9 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 7 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 0 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 3 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 3 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 4 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 14 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 12 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 6 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 2 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 2 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 7 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 1 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 3 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 8 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 5 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 13 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 10 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 13 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 5 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 9 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 9 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 1 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 4 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 9 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 9 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 13 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 5 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 10 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 0 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 2 2 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 4 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 10 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 2 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 3 2 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 9 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 7 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 5 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 2 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 4 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 2 5 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 6 2 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 9 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 2 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 2 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 2 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 4 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 4 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 3 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 7 3 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 2 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 10 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 6 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 1 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 5 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 4 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 5 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 9 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 6 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 5 3 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 7 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 14 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 8 4 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 6 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 2 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 0 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 12 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 3 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 14 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 9 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 3 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 2 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 7 5 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 2 2 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 1 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 1 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 3 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 2 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 2 4</rect></_></features></_>
-    <_>
-      <scale>0</scale>
-      <weaks>1024</weaks>
-      <trees>
-        <_>
-          <treeThreshold>-8.4679585695266724e-01</treeThreshold>
-          <internalNodes>
-            1 2 0 7.7750000000000000e+02 0 -1 1 5.8850000000000000e+02
-            -2 -3 2 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4679585695266724e-01 7.5506496429443359e-01
-            -6.9044047594070435e-01 6.3049119710922241e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.6734303236007690e+00</treeThreshold>
-          <internalNodes>
-            1 2 3 1.9500000000000000e+01 0 -1 4 1.5500000000000000e+01
-            -2 -3 5 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5389009714126587e-01 6.4812886714935303e-01
-            -2.1629486978054047e-01 -8.2663446664810181e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.8291370868682861e+00</treeThreshold>
-          <internalNodes>
-            1 2 6 1.3500000000000000e+01 0 -1 7 2.0350000000000000e+02
-            -2 -3 8 3.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -1.5570680797100067e-01 -8.0992084741592407e-01
-            6.8644106388092041e-01 -5.6922149658203125e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.7377158403396606e+00</treeThreshold>
-          <internalNodes>
-            1 2 9 3.6500000000000000e+01 0 -1 10 2.4500000000000000e+01
-            -2 -3 11 2.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.2347095012664795e-01 3.0225446820259094e-01
-            6.9995605945587158e-01 -1.7914050817489624e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.2347910404205322e+00</treeThreshold>
-          <internalNodes>
-            1 2 12 2.0550000000000000e+02 0 -1 13 6.7500000000000000e+01
-            -2 -3 14 8.6350000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9707528948783875e-01 1.7866376042366028e-01
-            7.4965566396713257e-01 5.7663144543766975e-03</leafValues></_>
-        <_>
-          <treeThreshold>-1.8678615093231201e+00</treeThreshold>
-          <internalNodes>
-            1 2 15 1.5150000000000000e+02 0 -1 16 1.0500000000000000e+01
-            -2 -3 17 4.3255000000000000e+03</internalNodes>
-          <leafValues>
-            -2.6820951700210571e-01 6.4194840192794800e-01
-            -6.7160737514495850e-01 6.3368387520313263e-02</leafValues></_>
-        <_>
-          <treeThreshold>-2.0991549491882324e+00</treeThreshold>
-          <internalNodes>
-            1 2 18 1.5000000000000000e+00 0 -1 19 2.9500000000000000e+01
-            -2 -3 20 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.0631237030029297e-01 5.5947405099868774e-01
-            7.0312672853469849e-01 -4.0578368306159973e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.0249555110931396e+00</treeThreshold>
-          <internalNodes>
-            1 2 21 5.2500000000000000e+01 0 -1 22 7.5000000000000000e+00
-            -2 -3 23 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6095990836620331e-02 -7.4784129858016968e-01
-            5.0073879957199097e-01 -3.8508036732673645e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.0100402832031250e+00</treeThreshold>
-          <internalNodes>
-            1 2 24 3.7650000000000000e+02 0 -1 25 4.1500000000000000e+01
-            -2 -3 26 2.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6506282091140747e-01 2.3158341646194458e-01
-            -8.8750278949737549e-01 8.2055127620697021e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.6451328992843628e+00</treeThreshold>
-          <internalNodes>
-            1 2 27 7.5000000000000000e+00 0 -1 28 1.8500000000000000e+01
-            -2 -3 29 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.0027003288269043e-01 3.8312932848930359e-01
-            2.1947205066680908e-01 -5.9093552827835083e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.0925648212432861e+00</treeThreshold>
-          <internalNodes>
-            1 2 30 1.1500000000000000e+01 0 -1 31 9.5000000000000000e+00
-            -2 -3 32 2.6350000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6565398573875427e-01 5.0306195020675659e-01
-            4.4449210166931152e-01 -6.1473309993743896e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.5271776914596558e+00</treeThreshold>
-          <internalNodes>
-            1 2 33 5.0000000000000000e-01 0 -1 34 1.2500000000000000e+01
-            -2 -3 35 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7037209272384644e-01 5.6538718938827515e-01
-            -5.0570178031921387e-01 1.6205248236656189e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.1876722574234009e+00</treeThreshold>
-          <internalNodes>
-            1 2 36 3.5000000000000000e+00 0 -1 37 1.5000000000000000e+00
-            -2 -3 38 2.5150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4505090713500977e-01 3.8910430669784546e-01
-            -5.9720128774642944e-01 7.2264879941940308e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.1631057262420654e+00</treeThreshold>
-          <internalNodes>
-            1 2 39 2.7950000000000000e+02 0 -1 40 1.7065000000000000e+03
-            -2 -3 41 1.2495000000000000e+03</internalNodes>
-          <leafValues>
-            2.4566594511270523e-02 7.9330480098724365e-01
-            5.6873923540115356e-01 -4.0141937136650085e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.4218001365661621e-01</treeThreshold>
-          <internalNodes>
-            1 2 42 4.2525000000000000e+03 0 -1 43 4.5000000000000000e+00
-            -2 -3 44 1.5175000000000000e+03</internalNodes>
-          <leafValues>
-            3.2092568278312683e-01 -4.5945590734481812e-01
-            -8.0667120218276978e-01 4.0151047706604004e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.3475534915924072e+00</treeThreshold>
-          <internalNodes>
-            1 2 45 2.3500000000000000e+01 0 -1 46 8.8500000000000000e+01
-            -2 -3 47 9.2150000000000000e+02</internalNodes>
-          <leafValues>
-            3.0066493153572083e-01 -5.0537353754043579e-01
-            3.6820709705352783e-01 -9.1408914327621460e-01</leafValues></_>
-        <_>
-          <treeThreshold>-9.5874893665313721e-01</treeThreshold>
-          <internalNodes>
-            1 2 48 5.7550000000000000e+02 0 -1 49 6.7550000000000000e+02
-            -2 -3 50 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.4770929813385010e-01 3.3511099219322205e-01
-            3.8880458474159241e-01 -1.9090360403060913e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.5856813192367554e-01</treeThreshold>
-          <internalNodes>
-            1 2 51 6.1500000000000000e+01 0 -1 52 1.5000000000000000e+00
-            -2 -3 53 1158.</internalNodes>
-          <leafValues>
-            5.0987577438354492e-01 -3.8584578037261963e-01
-            -5.0875252485275269e-01 5.5896055698394775e-01</leafValues></_>
-        <_>
-          <treeThreshold>-6.4911109209060669e-01</treeThreshold>
-          <internalNodes>
-            1 2 54 2.2050000000000000e+02 0 -1 55 2.5750000000000000e+02
-            -2 -3 56 2.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.3486647605895996e-01 2.0945706963539124e-01
-            -8.4773159027099609e-01 4.1636252403259277e-01</leafValues></_>
-        <_>
-          <treeThreshold>-4.9586555361747742e-01</treeThreshold>
-          <internalNodes>
-            1 2 57 3.5000000000000000e+00 0 -1 58 2.5000000000000000e+00
-            -2 -3 59 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5921803712844849e-01 4.6488901972770691e-01
-            -6.8810594081878662e-01 -2.7040589600801468e-02</leafValues></_>
-        <_>
-          <treeThreshold>-4.7253912687301636e-01</treeThreshold>
-          <internalNodes>
-            1 2 60 2.5000000000000000e+00 0 -1 61 4.5000000000000000e+00
-            -2 -3 62 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9894185066223145e-01 6.2211072444915771e-01
-            -5.4600864648818970e-01 2.3326411843299866e-02</leafValues></_>
-        <_>
-          <treeThreshold>-5.5614802986383438e-02</treeThreshold>
-          <internalNodes>
-            1 2 63 2.4500000000000000e+01 0 -1 64 2.2500000000000000e+01
-            -2 -3 65 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.4692783355712891e-01 4.1692432761192322e-01
-            3.2402262091636658e-01 -8.1831818819046021e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4737248197197914e-02</treeThreshold>
-          <internalNodes>
-            1 2 66 3.4500000000000000e+01 0 -1 67 5.0000000000000000e-01
-            -2 -3 68 8.1750000000000000e+02</internalNodes>
-          <leafValues>
-            4.9493959546089172e-01 -4.3111301958560944e-02
-            4.1624513268470764e-01 -6.5285211801528931e-01</leafValues></_>
-        <_>
-          <treeThreshold>-3.8909688591957092e-01</treeThreshold>
-          <internalNodes>
-            1 2 69 4.6500000000000000e+01 0 -1 70 1.1950000000000000e+02
-            -2 -3 71 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.9863130450248718e-01 -6.7247897386550903e-01
-            5.4888677597045898e-01 -1.2822744250297546e-01</leafValues></_>
-        <_>
-          <treeThreshold>-7.9226568341255188e-02</treeThreshold>
-          <internalNodes>
-            1 2 72 1.1500000000000000e+01 0 -1 73 2.3550000000000000e+02
-            -2 -3 74 1.2550000000000000e+02</internalNodes>
-          <leafValues>
-            9.7892753779888153e-02 -7.6417064666748047e-01
-            -5.4467469453811646e-01 3.0987030267715454e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.9954596646130085e-03</treeThreshold>
-          <internalNodes>
-            1 2 75 1.5000000000000000e+00 0 -1 76 1.5000000000000000e+00
-            -2 -3 77 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4582867622375488e-01 4.6034806966781616e-01
-            9.2526301741600037e-02 -5.5669903755187988e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.2115581892430782e-02</treeThreshold>
-          <internalNodes>
-            1 2 78 1.4500000000000000e+01 0 -1 79 2.5000000000000000e+00
-            -2 -3 80 1284.</internalNodes>
-          <leafValues>
-            -1.0120121762156487e-02 -5.9989041090011597e-01
-            -1.7805591225624084e-01 6.3028931617736816e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5972565412521362e-01</treeThreshold>
-          <internalNodes>
-            1 2 81 1.9650000000000000e+02 0 -1 82 9.5000000000000000e+00
-            -2 -3 83 1.0625000000000000e+03</internalNodes>
-          <leafValues>
-            -2.0688037574291229e-01 3.7184122204780579e-01
-            7.2959977388381958e-01 -6.4402073621749878e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0813610553741455e-01</treeThreshold>
-          <internalNodes>
-            1 2 84 1.1050000000000000e+02 0 -1 85 4.5000000000000000e+00
-            -2 -3 86 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8497090339660645e-01 3.9636072516441345e-01
-            6.6349333524703979e-01 -5.1589541137218475e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.5005090236663818e-01</treeThreshold>
-          <internalNodes>
-            1 2 87 2.0550000000000000e+02 0 -1 88 3.5000000000000000e+00
-            -2 -3 89 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.3133915066719055e-01 -3.9812210202217102e-01
-            -6.8591558933258057e-01 4.8487389087677002e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8778470754623413e-01</treeThreshold>
-          <internalNodes>
-            1 2 90 1.3950000000000000e+02 0 -1 91 1.9500000000000000e+01
-            -2 -3 92 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.3595020771026611e-01 5.8211249113082886e-01
-            4.3087210506200790e-02 -5.4251241683959961e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2915985584259033e-01</treeThreshold>
-          <internalNodes>
-            1 2 93 4.5000000000000000e+00 0 -1 94 2929. -2 -3 95
-            3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6084750294685364e-01 -5.3846013545989990e-01
-            3.9264413714408875e-01 -2.5116056203842163e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1550654172897339e-01</treeThreshold>
-          <internalNodes>
-            1 2 96 1.2500000000000000e+01 0 -1 97 4.4500000000000000e+01
-            -2 -3 98 7.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1323480606079102e-01 3.6048817634582520e-01
-            6.6347086429595947e-01 -6.9799762964248657e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0855576992034912e+00</treeThreshold>
-          <internalNodes>
-            1 2 99 2.7500000000000000e+01 0 -1 100
-            8.5000000000000000e+00 -2 -3 101 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.5093611478805542e-01 3.0252355337142944e-01
-            1.6355676949024200e-01 -8.4324830770492554e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0639545917510986e+00</treeThreshold>
-          <internalNodes>
-            1 2 102 1.5000000000000000e+00 0 -1 103
-            3.7500000000000000e+01 -2 -3 104 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3908194303512573e-01 4.2347168922424316e-01
-            -4.4102880358695984e-01 4.3833139538764954e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0562820434570312e-01</treeThreshold>
-          <internalNodes>
-            1 2 105 4.5000000000000000e+00 0 -1 106
-            9.5000000000000000e+00 -2 -3 107 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.8544105291366577e-01 3.8719829916954041e-01
-            1.4575521647930145e-01 -4.6634963154792786e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0761597156524658e+00</treeThreshold>
-          <internalNodes>
-            1 2 108 1.4500000000000000e+01 0 -1 109
-            1.2545000000000000e+03 -2 -3 110 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            2.5986677408218384e-01 -4.0740066766738892e-01
-            4.9753630161285400e-01 -6.2639516592025757e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5152643918991089e+00</treeThreshold>
-          <internalNodes>
-            1 2 111 7.8250000000000000e+02 0 -1 112
-            1.2265000000000000e+03 -2 -3 113 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9889906644821167e-01 5.2061015367507935e-01
-            4.3910467624664307e-01 -2.6094654202461243e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4136078357696533e+00</treeThreshold>
-          <internalNodes>
-            1 2 114 1.0500000000000000e+01 0 -1 115 1696. -2 -3 116
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1. -9.7255414724349976e-01 3.5954985022544861e-01
-            -1.7254945635795593e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4225575923919678e+00</treeThreshold>
-          <internalNodes>
-            1 2 117 3.8500000000000000e+01 0 -1 118
-            1.0250000000000000e+02 -2 -3 119 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.4716213345527649e-01 3.7233117222785950e-01
-            4.1007906198501587e-01 -7.6787543296813965e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7332764863967896e+00</treeThreshold>
-          <internalNodes>
-            1 2 120 6.5000000000000000e+00 0 -1 121
-            6.5000000000000000e+00 -2 -3 122 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0807107686996460e-01 3.1071880459785461e-01
-            -7.6486444473266602e-01 -4.4724285602569580e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.8922506570816040e+00</treeThreshold>
-          <internalNodes>
-            1 2 123 5.0000000000000000e-01 0 -1 124
-            6.5000000000000000e+00 -2 -3 125 2.5175000000000000e+03</internalNodes>
-          <leafValues>
-            -4.5441693067550659e-01 5.4230731725692749e-01
-            -3.1970790028572083e-01 7.5582736730575562e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6188565492630005e+00</treeThreshold>
-          <internalNodes>
-            1 2 126 8.2450000000000000e+02 0 -1 127
-            1.5500000000000000e+01 -2 -3 128 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.7339416742324829e-01 3.4306022524833679e-01
-            1.7286354303359985e-01 -6.8018329143524170e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6078552007675171e+00</treeThreshold>
-          <internalNodes>
-            1 2 129 4.2050000000000000e+02 0 -1 130 263. -2 -3 131
-            8.4450000000000000e+02</internalNodes>
-          <leafValues>
-            5.0138735771179199e-01 -4.4576519727706909e-01
-            2.3392482101917267e-01 -3.9459699392318726e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8623019456863403e+00</treeThreshold>
-          <internalNodes>
-            1 2 132 2.0850000000000000e+02 0 -1 133
-            5.5000000000000000e+00 -2 -3 134 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0980271995067596e-02 -6.1965447664260864e-01
-            -7.8912788629531860e-01 5.9828245639801025e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7021096944808960e+00</treeThreshold>
-          <internalNodes>
-            1 2 135 4.2500000000000000e+01 0 -1 136
-            6.5000000000000000e+00 -2 -3 137 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1077250242233276e-01 -5.9424054622650146e-01
-            4.9294531345367432e-01 -1.6019217669963837e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9233746528625488e+00</treeThreshold>
-          <internalNodes>
-            1 2 138 1.5000000000000000e+00 0 -1 139
-            1.6500000000000000e+01 -2 -3 140 8.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7251849174499512e-01 9.7932207584381104e-01
-            2.2126492857933044e-01 -6.2606680393218994e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1816830635070801e+00</treeThreshold>
-          <internalNodes>
-            1 2 141 6.8500000000000000e+01 0 -1 142
-            9.6500000000000000e+01 -2 -3 143 4.3350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.1670400500297546e-01 2.5830829143524170e-01
-            -8.8838213682174683e-01 4.1476368904113770e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2655973434448242e+00</treeThreshold>
-          <internalNodes>
-            1 2 144 1.6500000000000000e+01 0 -1 145
-            5.5000000000000000e+00 -2 -3 146 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9501928091049194e-01 -3.1914636492729187e-01
-            -3.8668751716613770e-01 3.1921181082725525e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6427345275878906e+00</treeThreshold>
-          <internalNodes>
-            1 2 147 6.5000000000000000e+00 0 -1 148
-            2.4500000000000000e+01 -2 -3 149 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5482164621353149e-01 4.6515238285064697e-01
-            -5.1726001501083374e-01 2.0654375851154327e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9806412458419800e+00</treeThreshold>
-          <internalNodes>
-            1 2 150 2.8850000000000000e+02 0 -1 151
-            5.5000000000000000e+00 -2 -3 152 1.1515000000000000e+03</internalNodes>
-          <leafValues>
-            -6.6209328174591064e-01 1.8325349688529968e-01
-            4.9089592695236206e-01 -8.4841215610504150e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4156589508056641e+00</treeThreshold>
-          <internalNodes>
-            1 2 153 5.0000000000000000e-01 0 -1 154 2811. -2 -3 155
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.3501755595207214e-01 -6.5484809875488281e-01
-            4.1686266660690308e-01 -4.1646206378936768e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7843391895294189e+00</treeThreshold>
-          <internalNodes>
-            1 2 156 1.1350000000000000e+02 0 -1 157
-            3.3450000000000000e+02 -2 -3 158 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.6868026852607727e-01 -6.1238104104995728e-01
-            6.8396532535552979e-01 -1.2954165227711201e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.8158543109893799e+00</treeThreshold>
-          <internalNodes>
-            1 2 159 4.2550000000000000e+02 0 -1 160
-            5.6050000000000000e+02 -2 -3 161 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9484893083572388e-01 3.1515140086412430e-02
-            -7.0635133981704712e-01 6.2144660949707031e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0259079933166504e+00</treeThreshold>
-          <internalNodes>
-            1 2 162 7.5000000000000000e+00 0 -1 163
-            4.5000000000000000e+00 -2 -3 164 1.6375000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1446412801742554e-01 3.4102836251258850e-01
-            3.5541319847106934e-01 -4.5499989390373230e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3236474990844727e+00</treeThreshold>
-          <internalNodes>
-            1 2 165 1.5000000000000000e+00 0 -1 166
-            1.0500000000000000e+01 -2 -3 167 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.0691192150115967e-01 5.4418134689331055e-01
-            3.7381768226623535e-01 -3.6192026734352112e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2000217437744141e+00</treeThreshold>
-          <internalNodes>
-            1 2 168 1.0500000000000000e+01 0 -1 169
-            6.5000000000000000e+00 -2 -3 170 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1653541773557663e-01 -8.1098204851150513e-01
-            3.6642596125602722e-01 -2.8248944878578186e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2462809085845947e+00</treeThreshold>
-          <internalNodes>
-            1 2 171 1.9850000000000000e+02 0 -1 172
-            2.9500000000000000e+01 -2 -3 173 8.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9297759532928467e-01 5.5565875768661499e-01
-            5.2605623006820679e-01 -3.3815068006515503e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4681446552276611e+00</treeThreshold>
-          <internalNodes>
-            1 2 174 5.7550000000000000e+02 0 -1 175 338. -2 -3 176
-            1.1515000000000000e+03</internalNodes>
-          <leafValues>
-            -7.6464962959289551e-01 9.0472358465194702e-01
-            6.2902992963790894e-01 -3.9204329252243042e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6334233283996582e+00</treeThreshold>
-          <internalNodes>
-            1 2 177 4167. 0 -1 178 6.5000000000000000e+00 -2 -3 179
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1638332605361938e-01 1.6527870297431946e-01
-            4.8254090547561646e-01 -8.9626789093017578e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9205143451690674e+00</treeThreshold>
-          <internalNodes>
-            1 2 180 6.5000000000000000e+00 0 -1 181
-            1.2500000000000000e+01 -2 -3 182 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.7690986394882202e-01 -2.3904214799404144e-01
-            -4.0556749701499939e-01 2.2106994688510895e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8434190750122070e+00</treeThreshold>
-          <internalNodes>
-            1 2 183 5.0000000000000000e-01 0 -1 184
-            1.3500000000000000e+01 -2 -3 185 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2586407661437988e-01 4.4005537033081055e-01
-            -6.4374852180480957e-01 1.0862501710653305e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7773578166961670e+00</treeThreshold>
-          <internalNodes>
-            1 2 186 1.6500000000000000e+01 0 -1 187
-            9.5000000000000000e+00 -2 -3 188 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3096941709518433e-01 2.3926372826099396e-01
-            5.1413863897323608e-01 -5.5257624387741089e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1896114349365234e+00</treeThreshold>
-          <internalNodes>
-            1 2 189 1.2500000000000000e+01 0 -1 190
-            7.5000000000000000e+00 -2 -3 191 36.</internalNodes>
-          <leafValues>
-            -6.8173252046108246e-02 5.3156542778015137e-01
-            -6.3870549201965332e-01 5.8901703357696533e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1023836135864258e+00</treeThreshold>
-          <internalNodes>
-            1 2 192 6.7500000000000000e+01 0 -1 193
-            8.0500000000000000e+01 -2 -3 194 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7302609980106354e-01 -5.5641782283782959e-01
-            -8.8721150159835815e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.1807246208190918e+00</treeThreshold>
-          <internalNodes>
-            1 2 195 1.5235000000000000e+03 0 -1 196
-            2.6952500000000000e+04 -2 -3 197 1.8235000000000000e+03</internalNodes>
-          <leafValues>
-            -3.0445727705955505e-01 7.7833265066146851e-01
-            8.7232065200805664e-01 -2.4321475625038147e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2723703384399414e+00</treeThreshold>
-          <internalNodes>
-            1 2 198 6.5000000000000000e+00 0 -1 199
-            7.5000000000000000e+00 -2 -3 200 3.4175000000000000e+03</internalNodes>
-          <leafValues>
-            1.3138349354267120e-01 -5.8236575126647949e-01
-            2.2224109619855881e-02 6.9834595918655396e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6446409225463867e+00</treeThreshold>
-          <internalNodes>
-            1 2 201 2.1500000000000000e+01 0 -1 202
-            4.5000000000000000e+00 -2 -3 203 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.9490295648574829e-01 -7.6766520738601685e-01
-            3.7227055430412292e-01 -2.2965273261070251e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2965531349182129e+00</treeThreshold>
-          <internalNodes>
-            1 2 204 3.5000000000000000e+00 0 -1 205
-            1.1500000000000000e+01 -2 -3 206 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8419467806816101e-01 4.3421781063079834e-01
-            -5.4377484321594238e-01 1.9981886446475983e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6640934944152832e+00</treeThreshold>
-          <internalNodes>
-            1 2 207 705. 0 -1 208 1.7500000000000000e+01 -2 -3 209
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.7177429199218750e-01 -8.8838618993759155e-01
-            3.6754038929939270e-01 -1.2962521612644196e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5903968811035156e+00</treeThreshold>
-          <internalNodes>
-            1 2 210 3.4500000000000000e+01 0 -1 211
-            2.2850000000000000e+02 -2 -3 212 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.0602458715438843e-01 -7.7238667011260986e-01
-            4.3168050050735474e-01 -1.4236643910408020e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4601187705993652e+00</treeThreshold>
-          <internalNodes>
-            1 2 213 1.8500000000000000e+01 0 -1 214
-            5.0000000000000000e-01 -2 -3 215 1.6450000000000000e+02</internalNodes>
-          <leafValues>
-            7.2294287383556366e-02 -4.4637727737426758e-01
-            5.0045186281204224e-01 -8.8895571231842041e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6810216903686523e+00</treeThreshold>
-          <internalNodes>
-            1 2 216 1.5000000000000000e+00 0 -1 217
-            3.5000000000000000e+00 -2 -3 218 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5774848461151123e-01 -8.5371148586273193e-01
-            -3.8080200552940369e-01 2.2090284526348114e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5454678535461426e+00</treeThreshold>
-          <internalNodes>
-            1 2 219 5.0000000000000000e-01 0 -1 220
-            2.4500000000000000e+01 -2 -3 221 1.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9623221457004547e-01 9.1209959983825684e-01
-            2.2579464316368103e-01 -3.2021987438201904e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7205095291137695e+00</treeThreshold>
-          <internalNodes>
-            1 2 222 6.8250000000000000e+02 0 -1 223
-            5.8750000000000000e+02 -2 -3 224 4.9250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1928713321685791e-01 4.4073671102523804e-01
-            5.2129870653152466e-01 -9.0712592005729675e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0539321899414062e+00</treeThreshold>
-          <internalNodes>
-            1 2 225 1.5500000000000000e+01 0 -1 226
-            6.3500000000000000e+01 -2 -3 227 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9318233728408813e-01 -3.8358560204505920e-01
-            4.2106309533119202e-01 -5.5091488361358643e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2054772377014160e+00</treeThreshold>
-          <internalNodes>
-            1 2 228 3.1500000000000000e+01 0 -1 229
-            2.3500000000000000e+01 -2 -3 230 3.3750000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1581993103027344e-01 7.1099334955215454e-01
-            2.9412022233009338e-01 -7.1934843063354492e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1629271507263184e+00</treeThreshold>
-          <internalNodes>
-            1 2 231 3.2950000000000000e+02 0 -1 232
-            5.0000000000000000e-01 -2 -3 233 1864.</internalNodes>
-          <leafValues>
-            2.0024216175079346e-01 -3.3125820755958557e-01
-            9.7632443904876709e-01 -8.2965487241744995e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4650130271911621e+00</treeThreshold>
-          <internalNodes>
-            1 2 234 4.0550000000000000e+02 0 -1 235
-            2.7750000000000000e+02 -2 -3 236 5.7155000000000000e+03</internalNodes>
-          <leafValues>
-            2.2284466028213501e-01 -4.8526307940483093e-01
-            8.1116855144500732e-01 -1.5218812972307205e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4984669685363770e+00</treeThreshold>
-          <internalNodes>
-            1 2 237 4.5000000000000000e+00 0 -1 238
-            1.7500000000000000e+01 -2 -3 239 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3221347332000732e-01 3.8014096021652222e-01
-            -6.2983202934265137e-01 1.1483613401651382e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4328503608703613e+00</treeThreshold>
-          <internalNodes>
-            1 2 240 2.2500000000000000e+01 0 -1 241
-            3.2750000000000000e+02 -2 -3 242 5.5250000000000000e+02</internalNodes>
-          <leafValues>
-            2.7665451169013977e-01 -4.1230320930480957e-01
-            5.8497339487075806e-01 -9.2561680078506470e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2271656990051270e+00</treeThreshold>
-          <internalNodes>
-            1 2 243 2.5000000000000000e+00 0 -1 244
-            1.5000000000000000e+00 -2 -3 245 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2440222501754761e-01 3.4950828552246094e-01
-            -4.4587394595146179e-01 3.7627801299095154e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7503991127014160e+00</treeThreshold>
-          <internalNodes>
-            1 2 246 2.5500000000000000e+01 0 -1 247
-            1.7500000000000000e+01 -2 -3 248 1742.</internalNodes>
-          <leafValues>
-            1.7403741180896759e-01 -4.8115825653076172e-01
-            -8.1405687332153320e-01 5.2323335409164429e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9725828170776367e+00</treeThreshold>
-          <internalNodes>
-            1 2 249 2.5000000000000000e+00 0 -1 250
-            1.8750000000000000e+02 -2 -3 251 3.0750000000000000e+02</internalNodes>
-          <leafValues>
-            5.0755202770233154e-01 -9.1562610864639282e-01
-            2.2218362987041473e-01 -5.9081828594207764e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9053583145141602e+00</treeThreshold>
-          <internalNodes>
-            1 2 252 4.4500000000000000e+01 0 -1 253
-            7.5000000000000000e+00 -2 -3 254 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7661845088005066e-01 -7.2863763570785522e-01
-            2.9604527354240417e-01 -3.9353659749031067e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2247257232666016e+00</treeThreshold>
-          <internalNodes>
-            1 2 255 2.7915000000000000e+03 0 -1 256
-            5.0000000000000000e-01 -2 -3 257 2.7750000000000000e+02</internalNodes>
-          <leafValues>
-            5.7657641172409058e-01 -5.8752876520156860e-01
-            7.3920065164566040e-01 -5.6199613958597183e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.3211832046508789e+00</treeThreshold>
-          <internalNodes>
-            1 2 258 1.5000000000000000e+00 0 -1 259
-            1.5950000000000000e+02 -2 -3 260 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.8729599118232727e-01 -8.2186138629913330e-01
-            -7.5912064313888550e-01 -9.1310448944568634e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.1939978599548340e+00</treeThreshold>
-          <internalNodes>
-            1 2 261 5.0000000000000000e-01 0 -1 262
-            1.1500000000000000e+01 -2 -3 263 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.8085348606109619e-01 3.7691861391067505e-01
-            3.6999684572219849e-01 -4.1802382469177246e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5674057006835938e+00</treeThreshold>
-          <internalNodes>
-            1 2 264 4.6500000000000000e+01 0 -1 265
-            1.6500000000000000e+01 -2 -3 266 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4361716583371162e-02 -7.4328392744064331e-01
-            3.7340793013572693e-01 -3.1576988101005554e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4908089637756348e+00</treeThreshold>
-          <internalNodes>
-            1 2 267 6.5000000000000000e+00 0 -1 268
-            1.5000000000000000e+00 -2 -3 269 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.5202457904815674e-01 7.6004970073699951e-01
-            4.0044522285461426e-01 -1.8293106555938721e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7305116653442383e+00</treeThreshold>
-          <internalNodes>
-            1 2 270 1.3450000000000000e+02 0 -1 271 69. -2 -3 272
-            2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7816595286130905e-02 -9.0281504392623901e-01
-            -5.4295367002487183e-01 2.3970291018486023e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8999171257019043e+00</treeThreshold>
-          <internalNodes>
-            1 2 273 2.5000000000000000e+00 0 -1 274
-            2.5000000000000000e+00 -2 -3 275 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0667393207550049e-01 3.6585667729377747e-01
-            3.1221818923950195e-01 -4.8534518480300903e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0018959045410156e+00</treeThreshold>
-          <internalNodes>
-            1 2 276 3.5000000000000000e+00 0 -1 277
-            3.5000000000000000e+00 -2 -3 278 266.</internalNodes>
-          <leafValues>
-            -3.6587709188461304e-01 6.2320345640182495e-01
-            -3.9827787876129150e-01 2.4151444435119629e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1498341560363770e+00</treeThreshold>
-          <internalNodes>
-            1 2 279 6.5000000000000000e+00 0 -1 280
-            3.7500000000000000e+01 -2 -3 281 3.3550000000000000e+02</internalNodes>
-          <leafValues>
-            5.1520365476608276e-01 -6.4510118961334229e-01
-            -4.8505461215972900e-01 1.4793802797794342e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0538568496704102e+00</treeThreshold>
-          <internalNodes>
-            1 2 282 1540. 0 -1 283 2.2500000000000000e+01 -2 -3 284
-            5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.7819830179214478e-01 3.7289941310882568e-01
-            -5.9334021806716919e-01 5.5907440185546875e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3145952224731445e+00</treeThreshold>
-          <internalNodes>
-            1 2 285 5.0000000000000000e-01 0 -1 286
-            5.0500000000000000e+01 -2 -3 287 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.9114875793457031e-01 4.3989965319633484e-01
-            2.9516109824180603e-01 -5.3384852409362793e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2128500938415527e+00</treeThreshold>
-          <internalNodes>
-            1 2 288 7.5000000000000000e+00 0 -1 289
-            8.5000000000000000e+00 -2 -3 290 8.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5619347095489502e-01 5.4719102382659912e-01
-            3.2581725716590881e-01 -6.7037367820739746e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0432367324829102e+00</treeThreshold>
-          <internalNodes>
-            1 2 291 2.5000000000000000e+00 0 -1 292
-            3.5000000000000000e+00 -2 -3 293 1.6805000000000000e+03</internalNodes>
-          <leafValues>
-            -1.8180048465728760e-01 4.9322417378425598e-01
-            1.2089827656745911e-01 -5.3679817914962769e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1085200309753418e+00</treeThreshold>
-          <internalNodes>
-            1 2 294 8.0250000000000000e+02 0 -1 295
-            3.5000000000000000e+00 -2 -3 296 1.5465000000000000e+03</internalNodes>
-          <leafValues>
-            4.4113153219223022e-01 -4.7889050841331482e-01
-            4.8183086514472961e-01 -2.7461019158363342e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4934172630310059e+00</treeThreshold>
-          <internalNodes>
-            1 2 297 5.5000000000000000e+00 0 -1 298
-            9.5000000000000000e+00 -2 -3 299 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.8466171026229858e-01 3.8489729166030884e-01
-            1.2428891658782959e-01 -5.3000146150588989e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7679367065429688e+00</treeThreshold>
-          <internalNodes>
-            1 2 300 4.5000000000000000e+00 0 -1 301
-            3.8500000000000000e+01 -2 -3 302 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8519446849822998e-01 1.3908083736896515e-01
-            3.4237712621688843e-01 -5.5784845352172852e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2031955718994141e+00</treeThreshold>
-          <internalNodes>
-            1 2 303 1.0500000000000000e+01 0 -1 304
-            1.5000000000000000e+00 -2 -3 305 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8500145077705383e-01 4.3525907397270203e-01
-            -7.3580604791641235e-01 -1.5477402135729790e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.8415699005126953e+00</treeThreshold>
-          <internalNodes>
-            1 2 306 1.1500000000000000e+01 0 -1 307
-            1.9950000000000000e+02 -2 -3 308 2.1050000000000000e+02</internalNodes>
-          <leafValues>
-            3.0834931135177612e-01 -5.2214068174362183e-01
-            -6.1229497194290161e-01 1.6261228919029236e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1340169906616211e+00</treeThreshold>
-          <internalNodes>
-            1 2 309 4.4500000000000000e+01 0 -1 310
-            5.0000000000000000e-01 -2 -3 311 2.7750000000000000e+02</internalNodes>
-          <leafValues>
-            3.8989096879959106e-01 -4.0270605683326721e-01
-            -3.7438669800758362e-01 4.9117839336395264e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0494565963745117e+00</treeThreshold>
-          <internalNodes>
-            1 2 312 2.9215000000000000e+03 0 -1 313 5981. -2 -3 314
-            1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4560506045818329e-02 5.6669616699218750e-01
-            -6.5312331914901733e-01 1.4199882745742798e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1713457107543945e+00</treeThreshold>
-          <internalNodes>
-            1 2 315 8.1500000000000000e+01 0 -1 316 66. -2 -3 317 371.</internalNodes>
-          <leafValues>
-            4.5325097441673279e-01 -3.0569469928741455e-01
-            5.9206598997116089e-01 -6.7238986492156982e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2347335815429688e+00</treeThreshold>
-          <internalNodes>
-            1 2 318 4.1450000000000000e+02 0 -1 319
-            5.0000000000000000e-01 -2 -3 320 410.</internalNodes>
-          <leafValues>
-            3.8724437355995178e-01 -3.1869423389434814e-01
-            8.7538170814514160e-01 -9.7314991056919098e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.5628070831298828e+00</treeThreshold>
-          <internalNodes>
-            1 2 321 1.0500000000000000e+01 0 -1 322
-            5.0000000000000000e-01 -2 -3 323 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.2377610206604004e-01 -8.4155076742172241e-01
-            3.2807359099388123e-01 -2.0454038679599762e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5264968872070312e+00</treeThreshold>
-          <internalNodes>
-            1 2 324 9.9150000000000000e+02 0 -1 325
-            7.0350000000000000e+02 -2 -3 326 6.</internalNodes>
-          <leafValues>
-            1.8747280538082123e-01 -3.3632183074951172e-01
-            8.6560744047164917e-01 -9.4016164541244507e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5532627105712891e+00</treeThreshold>
-          <internalNodes>
-            1 2 327 1.1500000000000000e+01 0 -1 328
-            2.7450000000000000e+02 -2 -3 329 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            8.5004931688308716e-01 -8.5131084918975830e-01
-            4.0861058235168457e-01 -1.2481645494699478e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7125473022460938e+00</treeThreshold>
-          <internalNodes>
-            1 2 330 4.9350000000000000e+02 0 -1 331
-            1.0500000000000000e+01 -2 -3 332 488.</internalNodes>
-          <leafValues>
-            3.3095937967300415e-01 -9.6550559997558594e-01
-            1.5928384661674500e-01 -7.0109528303146362e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5748119354248047e+00</treeThreshold>
-          <internalNodes>
-            1 2 333 5.8750000000000000e+02 0 -1 334
-            5.3965000000000000e+03 -2 -3 335 1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2717298269271851e-01 7.5915068387985229e-01
-            6.2651741504669189e-01 -7.6558768749237061e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.5311050415039062e+00</treeThreshold>
-          <internalNodes>
-            1 2 336 3.5000000000000000e+00 0 -1 337
-            1.8500000000000000e+01 -2 -3 338 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9637790918350220e-01 6.7646257579326630e-02
-            6.4769101142883301e-01 -3.3726450055837631e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0640134811401367e+00</treeThreshold>
-          <internalNodes>
-            1 2 339 1.5000000000000000e+00 0 -1 340
-            2.5000000000000000e+00 -2 -3 341 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8097436428070068e-01 6.0266649723052979e-01
-            -3.0453455448150635e-01 4.0144833922386169e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9831085205078125e+00</treeThreshold>
-          <internalNodes>
-            1 2 342 2.5000000000000000e+00 0 -1 343
-            2.1750000000000000e+02 -2 -3 344 3.1850000000000000e+02</internalNodes>
-          <leafValues>
-            9.3521779775619507e-01 -8.8511615991592407e-01
-            -8.0904886126518250e-02 4.7593075037002563e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3769168853759766e+00</treeThreshold>
-          <internalNodes>
-            1 2 345 1.8345000000000000e+03 0 -1 346 7548. -2 -3 347
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6914649009704590e-01 8.2535630464553833e-01
-            9.6199281513690948e-02 -4.2918723821640015e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3018980026245117e+00</treeThreshold>
-          <internalNodes>
-            1 2 348 3.4500000000000000e+01 0 -1 349
-            5.0000000000000000e-01 -2 -3 350 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.7495819330215454e-01 -7.7019518613815308e-01
-            -6.7532777786254883e-01 2.1935020387172699e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5473661422729492e+00</treeThreshold>
-          <internalNodes>
-            1 2 351 3.5000000000000000e+00 0 -1 352
-            3.8150000000000000e+02 -2 -3 353 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4546769261360168e-01 -9.4206953048706055e-01
-            5.2967166900634766e-01 -5.7282263040542603e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3910045623779297e+00</treeThreshold>
-          <internalNodes>
-            1 2 354 4.2500000000000000e+01 0 -1 355
-            2.5000000000000000e+00 -2 -3 356 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.9605733156204224e-01 -8.9919465780258179e-01
-            4.6279174089431763e-01 -1.5636166930198669e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2007036209106445e+00</treeThreshold>
-          <internalNodes>
-            1 2 357 3.0750000000000000e+02 0 -1 358
-            5.0000000000000000e-01 -2 -3 359 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            9.5931455492973328e-02 -5.2677857875823975e-01
-            -6.8146902322769165e-01 4.2670670151710510e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4172534942626953e+00</treeThreshold>
-          <internalNodes>
-            1 2 360 436. 0 -1 361 1.0500000000000000e+01 -2 -3 362
-            1.4150000000000000e+02</internalNodes>
-          <leafValues>
-            -4.8916128277778625e-01 2.1654944121837616e-01
-            -9.5991367101669312e-01 2.0731329917907715e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.3878002166748047e+00</treeThreshold>
-          <internalNodes>
-            1 2 363 2.1500000000000000e+01 0 -1 364
-            5.0000000000000000e-01 -2 -3 365 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.1134243011474609e-01 -1.5622694790363312e-01
-            -2.9453342780470848e-02 -6.6399675607681274e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3314304351806641e+00</treeThreshold>
-          <internalNodes>
-            1 2 366 5.6500000000000000e+01 0 -1 367
-            2.3500000000000000e+01 -2 -3 368 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5016134977340698e-01 6.0379421710968018e-01
-            5.0015795230865479e-01 -5.6369733065366745e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.8574962615966797e+00</treeThreshold>
-          <internalNodes>
-            1 2 369 3.5000000000000000e+00 0 -1 370 2013. -2 -3 371
-            1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            8.2091175019741058e-02 -6.4141482114791870e-01
-            -1.7478708922863007e-01 5.2606624364852905e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0064584732055664e+01</treeThreshold>
-          <internalNodes>
-            1 2 372 2.0650000000000000e+02 0 -1 373
-            1.7500000000000000e+01 -2 -3 374 1.0450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.0901508852839470e-02 -6.5456998348236084e-01
-            6.3896632194519043e-01 -1.6473773121833801e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0252257347106934e+01</treeThreshold>
-          <internalNodes>
-            1 2 375 5.5000000000000000e+00 0 -1 376
-            3.4500000000000000e+01 -2 -3 377 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.2374709844589233e-01 -5.0062644481658936e-01
-            -7.0661611855030060e-02 -7.5508368015289307e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0398225784301758e+01</treeThreshold>
-          <internalNodes>
-            1 2 378 2.5000000000000000e+00 0 -1 379
-            5.2500000000000000e+01 -2 -3 380 1.8785000000000000e+03</internalNodes>
-          <leafValues>
-            -9.0781456232070923e-01 1. -6.3530296087265015e-01
-            1.4596807956695557e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0281527519226074e+01</treeThreshold>
-          <internalNodes>
-            1 2 381 4.8500000000000000e+01 0 -1 382
-            1.2500000000000000e+01 -2 -3 383 2.7950000000000000e+02</internalNodes>
-          <leafValues>
-            1.5367124974727631e-01 -8.4021937847137451e-01
-            4.6640846133232117e-01 -1.1669804900884628e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0402153968811035e+01</treeThreshold>
-          <internalNodes>
-            1 2 384 6.5750000000000000e+02 0 -1 385
-            2.5000000000000000e+00 -2 -3 386 1.2991500000000000e+04</internalNodes>
-          <leafValues>
-            1.8093550205230713e-01 -3.1117281317710876e-01
-            8.3136463165283203e-01 -9.4209736585617065e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0749721527099609e+01</treeThreshold>
-          <internalNodes>
-            1 2 387 1.5500000000000000e+01 0 -1 388 3147. -2 -3 389
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.8778691291809082e-01 -8.4557241201400757e-01
-            3.5276123881340027e-01 -1.5734243392944336e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0613196372985840e+01</treeThreshold>
-          <internalNodes>
-            1 2 390 2.9405000000000000e+03 0 -1 391
-            5.0000000000000000e-01 -2 -3 392 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9040172100067139e-01 -1.3652552664279938e-01
-            -9.2412209510803223e-01 -8.2783259451389313e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0694108009338379e+01</treeThreshold>
-          <internalNodes>
-            1 2 393 5.0500000000000000e+01 0 -1 394
-            5.0000000000000000e-01 -2 -3 395 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.7963955998420715e-01 -7.4252939224243164e-01
-            -6.8665945529937744e-01 1.9869653880596161e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0847300529479980e+01</treeThreshold>
-          <internalNodes>
-            1 2 396 1.4500000000000000e+01 0 -1 397
-            5.5000000000000000e+00 -2 -3 398 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5649849176406860e-01 3.1507906317710876e-01
-            5.9824740886688232e-01 -4.3184515833854675e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0666165351867676e+01</treeThreshold>
-          <internalNodes>
-            1 2 399 2.5000000000000000e+00 0 -1 400
-            4.5000000000000000e+00 -2 -3 401 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.0361318588256836e-01 4.3227225542068481e-01
-            3.5962799191474915e-01 -4.3973237276077271e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0870504379272461e+01</treeThreshold>
-          <internalNodes>
-            1 2 402 2.6500000000000000e+01 0 -1 403
-            1.5000000000000000e+00 -2 -3 404 8.4500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6933162510395050e-01 -5.0010979175567627e-01
-            -3.3642402291297913e-01 4.9337503314018250e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0975853919982910e+01</treeThreshold>
-          <internalNodes>
-            1 2 405 2.5000000000000000e+00 0 -1 406
-            1.4795000000000000e+03 -2 -3 407 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.9212744235992432e-02 -6.0414147377014160e-01
-            5.3754031658172607e-01 -1.4943325519561768e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1088579177856445e+01</treeThreshold>
-          <internalNodes>
-            1 2 408 1.9500000000000000e+01 0 -1 409
-            8.0500000000000000e+01 -2 -3 410 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.4455469362437725e-03 7.1131867170333862e-01
-            1.2728694081306458e-01 -5.3219115734100342e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1411317825317383e+01</treeThreshold>
-          <internalNodes>
-            1 2 411 6.5000000000000000e+00 0 -1 412
-            5.0000000000000000e-01 -2 -3 413 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.8449540138244629e-01 7.5238209962844849e-01
-            3.2273903489112854e-01 -2.0153416693210602e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1409852027893066e+01</treeThreshold>
-          <internalNodes>
-            1 2 414 3.2650000000000000e+02 0 -1 415
-            4.5000000000000000e+00 -2 -3 416 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5437091886997223e-01 -3.4433943033218384e-01
-            8.3089745044708252e-01 -8.7578713893890381e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1487524032592773e+01</treeThreshold>
-          <internalNodes>
-            1 2 417 9.4500000000000000e+01 0 -1 418
-            5.3150000000000000e+02 -2 -3 419 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.5558461248874664e-02 -7.0222413539886475e-01
-            4.5731905102729797e-01 -1.0453109443187714e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1415844917297363e+01</treeThreshold>
-          <internalNodes>
-            1 2 420 2.0350000000000000e+02 0 -1 421
-            5.1500000000000000e+01 -2 -3 422 1.4350000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8595420122146606e-02 -8.2399624586105347e-01
-            7.0543432235717773e-01 8.3339767297729850e-04</leafValues></_>
-        <_>
-          <treeThreshold>1.1137701034545898e+01</treeThreshold>
-          <internalNodes>
-            1 2 423 1.1500000000000000e+01 0 -1 424
-            2.7850000000000000e+02 -2 -3 425 1231.</internalNodes>
-          <leafValues>
-            2.5673583149909973e-01 -2.7814364433288574e-01
-            7.7550095319747925e-01 -6.8776667118072510e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1352587699890137e+01</treeThreshold>
-          <internalNodes>
-            1 2 426 1.5000000000000000e+00 0 -1 427
-            4.2500000000000000e+01 -2 -3 428 436.</internalNodes>
-          <leafValues>
-            -8.6447370052337646e-01 3.8263612985610962e-01
-            2.1488623321056366e-01 -6.5995728969573975e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1502726554870605e+01</treeThreshold>
-          <internalNodes>
-            1 2 429 4.5000000000000000e+00 0 -1 430
-            8.9500000000000000e+01 -2 -3 431 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1148355007171631e-01 4.3896585702896118e-01
-            -4.8310482501983643e-01 1.8991161882877350e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1872124671936035e+01</treeThreshold>
-          <internalNodes>
-            1 2 432 5.0000000000000000e-01 0 -1 433
-            4.5000000000000000e+00 -2 -3 434 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1016438007354736e-01 3.6939758062362671e-01
-            1.1107332259416580e-01 -6.3128584623336792e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1897380828857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 435 1.5000000000000000e+00 0 -1 436
-            8.5000000000000000e+00 -2 -3 437 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3261368274688721e-01 5.7636475563049316e-01
-            -4.3446037173271179e-01 2.1413095295429230e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1853853225708008e+01</treeThreshold>
-          <internalNodes>
-            1 2 438 3706. 0 -1 439 1.5000000000000000e+00 -2 -3 440
-            4410.</internalNodes>
-          <leafValues>
-            5.6994712352752686e-01 -4.3527409434318542e-02
-            -7.2693550586700439e-01 4.1713526844978333e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1845816612243652e+01</treeThreshold>
-          <internalNodes>
-            1 2 441 6.5000000000000000e+00 0 -1 442
-            1.5500000000000000e+01 -2 -3 443 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0371825024485588e-03 -5.7360154390335083e-01
-            5.8637946844100952e-01 -4.5183259248733521e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1606418609619141e+01</treeThreshold>
-          <internalNodes>
-            1 2 444 5.7500000000000000e+01 0 -1 445
-            1.3650000000000000e+02 -2 -3 446 3.3595000000000000e+03</internalNodes>
-          <leafValues>
-            4.9911895394325256e-01 -5.3746724128723145e-01
-            -2.3939760029315948e-01 3.7778580188751221e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1980805397033691e+01</treeThreshold>
-          <internalNodes>
-            1 2 447 4.5000000000000000e+00 0 -1 448
-            3.5000000000000000e+00 -2 -3 449 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3552447557449341e-01 3.7438639998435974e-01
-            -4.0720772743225098e-01 4.5558989048004150e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2240980148315430e+01</treeThreshold>
-          <internalNodes>
-            1 2 450 2.0950000000000000e+02 0 -1 451
-            3.5000000000000000e+00 -2 -3 452 2.0450000000000000e+02</internalNodes>
-          <leafValues>
-            2.6017466187477112e-01 -4.3274480104446411e-01
-            6.6186487674713135e-01 -1.9433960318565369e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1877487182617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 453 8.7500000000000000e+01 0 -1 454
-            3.3500000000000000e+01 -2 -3 455 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6349293589591980e-01 2.8466138243675232e-01
-            -8.9488905668258667e-01 2.0050047338008881e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2315251350402832e+01</treeThreshold>
-          <internalNodes>
-            1 2 456 6.5000000000000000e+00 0 -1 457
-            2.8500000000000000e+01 -2 -3 458 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2718878388404846e-01 4.3776413798332214e-01
-            -4.0096122026443481e-01 4.4375243782997131e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2738058090209961e+01</treeThreshold>
-          <internalNodes>
-            1 2 459 2.5000000000000000e+00 0 -1 460
-            5.5000000000000000e+00 -2 -3 461 4.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 4.2698940634727478e-01 1.3992704451084137e-01
-            -4.4792297482490540e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2678054809570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 462 4.6035000000000000e+03 0 -1 463
-            1.2500000000000000e+01 -2 -3 464 1.6885000000000000e+03</internalNodes>
-          <leafValues>
-            -6.3804382085800171e-01 2.8076967597007751e-01
-            7.0788478851318359e-01 -6.0002621263265610e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.2586655616760254e+01</treeThreshold>
-          <internalNodes>
-            1 2 465 2.1150000000000000e+02 0 -1 466
-            3.5000000000000000e+00 -2 -3 467 3.1365000000000000e+03</internalNodes>
-          <leafValues>
-            3.2408985495567322e-01 -3.3107626438140869e-01
-            8.7245899438858032e-01 -1.1116035282611847e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2680603027343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 468 2.2500000000000000e+01 0 -1 469
-            4.5500000000000000e+01 -2 -3 470 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3947365880012512e-02 -5.0669384002685547e-01
-            6.3860702514648438e-01 -5.6095314025878906e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2646597862243652e+01</treeThreshold>
-          <internalNodes>
-            1 2 471 5.7750000000000000e+02 0 -1 472 2607. -2 -3 473
-            8.4850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0222898721694946e-01 4.9571409821510315e-01
-            6.9677603244781494e-01 -3.4005377441644669e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.3080556869506836e+01</treeThreshold>
-          <internalNodes>
-            1 2 474 3.5000000000000000e+00 0 -1 475
-            2.9025000000000000e+03 -2 -3 476 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.3582272268831730e-03 -7.6159459352493286e-01
-            4.4750732183456421e-01 -1.8545417487621307e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3341848373413086e+01</treeThreshold>
-          <internalNodes>
-            1 2 477 2.5000000000000000e+00 0 -1 478
-            1.3500000000000000e+01 -2 -3 479 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.0977507829666138e-01 3.4295764565467834e-01
-            9.3431934714317322e-02 -7.1162647008895874e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2996747970581055e+01</treeThreshold>
-          <internalNodes>
-            1 2 480 5.5000000000000000e+00 0 -1 481
-            6.5000000000000000e+00 -2 -3 482 3.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -5.9179306030273438e-01 5.3183627128601074e-01
-            2.9362958669662476e-01 -5.2066570520401001e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3275168418884277e+01</treeThreshold>
-          <internalNodes>
-            1 2 483 5.0000000000000000e-01 0 -1 484
-            5.8550000000000000e+02 -2 -3 485 1.2025000000000000e+03</internalNodes>
-          <leafValues>
-            -4.2056784033775330e-01 5.3556817770004272e-01
-            5.9011709690093994e-01 -3.4758779406547546e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3466418266296387e+01</treeThreshold>
-          <internalNodes>
-            1 2 486 5.5000000000000000e+00 0 -1 487
-            5.0000000000000000e-01 -2 -3 488 14734.</internalNodes>
-          <leafValues>
-            4.4770663976669312e-01 -8.6989867687225342e-01
-            1.9124945998191833e-01 -7.6927727460861206e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3708694458007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 489 3.5150000000000000e+02 0 -1 490
-            2.4500000000000000e+01 -2 -3 491 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4361712932586670e-01 -9.3802767992019653e-01
-            2.4227620661258698e-01 -3.2380709052085876e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3621360778808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 492 1.5750000000000000e+02 0 -1 493 45. -2 -3 494
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.8756289482116699e-01 -6.2756335735321045e-01
-            5.6488978862762451e-01 -8.7333582341670990e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.3719803810119629e+01</treeThreshold>
-          <internalNodes>
-            1 2 495 1.4500000000000000e+01 0 -1 496
-            3.2785000000000000e+03 -2 -3 497 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3579055964946747e-02 -9.0902733802795410e-01
-            4.0620484948158264e-01 -2.2033128142356873e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3743362426757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 498 1.7500000000000000e+01 0 -1 499
-            2.5500000000000000e+01 -2 -3 500 446.</internalNodes>
-          <leafValues>
-            5.8430969715118408e-02 -5.6837719678878784e-01
-            -1.8840381503105164e-01 6.9564127922058105e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3924007415771484e+01</treeThreshold>
-          <internalNodes>
-            1 2 501 8.0450000000000000e+02 0 -1 502
-            4.0500000000000000e+01 -2 -3 503 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7573506832122803e-01 2.6540222764015198e-01
-            -3.4159180521965027e-01 5.4993849992752075e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4126693725585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 504 2.5000000000000000e+00 0 -1 505 3876. -2 -3 506
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1770899295806885e-01 -3.8963168859481812e-01
-            1.9346395134925842e-01 -5.6205403804779053e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4377063751220703e+01</treeThreshold>
-          <internalNodes>
-            1 2 507 1.0630500000000000e+04 0 -1 508
-            1.7500000000000000e+01 -2 -3 509 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.2469942569732666e-01 -6.3991433382034302e-01
-            7.5341060757637024e-02 -5.3553485870361328e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4237608909606934e+01</treeThreshold>
-          <internalNodes>
-            1 2 510 5.7500000000000000e+01 0 -1 511
-            6.5000000000000000e+00 -2 -3 512 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4694686084985733e-02 -5.2880686521530151e-01
-            -3.4901857376098633e-01 4.7299972176551819e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4564194679260254e+01</treeThreshold>
-          <internalNodes>
-            1 2 513 7.5000000000000000e+00 0 -1 514
-            8.5000000000000000e+00 -2 -3 515 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7572060823440552e-01 4.0378063917160034e-01
-            1.7233282327651978e-01 -5.5302166938781738e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4479125976562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 516 4.1500000000000000e+01 0 -1 517
-            5.0000000000000000e-01 -2 -3 518 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9208496809005737e-01 -9.3342530727386475e-01
-            4.8711183667182922e-01 -8.5068866610527039e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.4771840095520020e+01</treeThreshold>
-          <internalNodes>
-            1 2 519 3.2350000000000000e+02 0 -1 520
-            6.8500000000000000e+01 -2 -3 521 2.9050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6921553611755371e-01 7.5075703859329224e-01
-            3.0680647492408752e-01 -5.3018033504486084e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4921194076538086e+01</treeThreshold>
-          <internalNodes>
-            1 2 522 9.5000000000000000e+00 0 -1 523 178. -2 -3 524
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7555197477340698e-01 -8.4987080097198486e-01
-            7.1478825807571411e-01 -4.7535741329193115e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5011672019958496e+01</treeThreshold>
-          <internalNodes>
-            1 2 525 3.5500000000000000e+01 0 -1 526
-            4.9450000000000000e+02 -2 -3 527 151.</internalNodes>
-          <leafValues>
-            -4.1447910666465759e-01 9.0478152036666870e-02
-            7.2348231077194214e-01 -8.4134203195571899e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5009381294250488e+01</treeThreshold>
-          <internalNodes>
-            1 2 528 1.0075000000000000e+03 0 -1 529
-            4.6135000000000000e+03 -2 -3 530 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.3591668009757996e-01 5.0908648967742920e-01
-            4.3699756264686584e-02 -6.3745105266571045e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4872577667236328e+01</treeThreshold>
-          <internalNodes>
-            1 2 531 4.9500000000000000e+01 0 -1 532
-            7.5000000000000000e+00 -2 -3 533 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5888742208480835e-02 -5.8190774917602539e-01
-            -7.9333829879760742e-01 5.4325503110885620e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5080644607543945e+01</treeThreshold>
-          <internalNodes>
-            1 2 534 4.7500000000000000e+01 0 -1 535
-            1.4500000000000000e+01 -2 -3 536 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9569383859634399e-01 2.0806635916233063e-01
-            -7.5062823295593262e-01 2.4852557480335236e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5080853462219238e+01</treeThreshold>
-          <internalNodes>
-            1 2 537 6.5000000000000000e+00 0 -1 538
-            8.5000000000000000e+00 -2 -3 539 3.8050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1480957269668579e-01 3.2939058542251587e-01
-            4.0805706381797791e-01 -4.6099272370338440e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4875501632690430e+01</treeThreshold>
-          <internalNodes>
-            1 2 540 1.0500000000000000e+01 0 -1 541
-            1.5000000000000000e+00 -2 -3 542 478.</internalNodes>
-          <leafValues>
-            -9.0150666236877441e-01 3.4228125214576721e-01
-            -5.9740513563156128e-01 8.7162934243679047e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5382561683654785e+01</treeThreshold>
-          <internalNodes>
-            1 2 543 5.5000000000000000e+00 0 -1 544
-            5.0000000000000000e-01 -2 -3 545 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2944935560226440e-01 5.0705975294113159e-01
-            -3.9558005332946777e-01 3.1945833563804626e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5631669998168945e+01</treeThreshold>
-          <internalNodes>
-            1 2 546 1.5000000000000000e+00 0 -1 547
-            1.1500000000000000e+01 -2 -3 548 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0148051977157593e-01 3.6997869610786438e-01
-            7.7569979429244995e-01 -3.7318921089172363e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5227413177490234e+01</treeThreshold>
-          <internalNodes>
-            1 2 549 5.5000000000000000e+00 0 -1 550
-            2.5000000000000000e+00 -2 -3 551 8.2500000000000000e+01</internalNodes>
-          <leafValues>
-            9.7206316888332367e-02 -5.2512657642364502e-01
-            5.3593277931213379e-01 -5.2903693914413452e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5712855339050293e+01</treeThreshold>
-          <internalNodes>
-            1 2 552 1.5000000000000000e+00 0 -1 553
-            1.1500000000000000e+01 -2 -3 554 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5320370197296143e-01 5.5974000692367554e-01
-            -4.7809949517250061e-01 1.2362124770879745e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5475475311279297e+01</treeThreshold>
-          <internalNodes>
-            1 2 555 1.1150000000000000e+02 0 -1 556 107. -2 -3 557
-            5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2000953555107117e-01 -5.7901185750961304e-01
-            5.5795150995254517e-01 -2.0629312098026276e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5877110481262207e+01</treeThreshold>
-          <internalNodes>
-            1 2 558 5.0000000000000000e-01 0 -1 559
-            4.7500000000000000e+01 -2 -3 560 4.0850000000000000e+02</internalNodes>
-          <leafValues>
-            4.0163558721542358e-01 -6.5443444252014160e-01
-            3.9427250623703003e-01 -4.3203008174896240e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5799601554870605e+01</treeThreshold>
-          <internalNodes>
-            1 2 561 2.0250000000000000e+02 0 -1 562
-            5.0000000000000000e-01 -2 -3 563 2399.</internalNodes>
-          <leafValues>
-            1.2356969714164734e-01 -5.3489917516708374e-01
-            4.6495470404624939e-01 -5.8487701416015625e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6042089462280273e+01</treeThreshold>
-          <internalNodes>
-            1 2 564 7.0450000000000000e+02 0 -1 565
-            4.4500000000000000e+01 -2 -3 566 288.</internalNodes>
-          <leafValues>
-            4.8793616890907288e-01 -8.4778493642807007e-01
-            -4.3374565243721008e-01 2.4248743057250977e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6111749649047852e+01</treeThreshold>
-          <internalNodes>
-            1 2 567 1.8500000000000000e+01 0 -1 568
-            1.2500000000000000e+01 -2 -3 569 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.8669865727424622e-01 2.7788683772087097e-01
-            3.6192622780799866e-01 -5.7420414686203003e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6021078109741211e+01</treeThreshold>
-          <internalNodes>
-            1 2 570 8.3450000000000000e+02 0 -1 571 4451. -2 -3 572
-            3.2950000000000000e+02</internalNodes>
-          <leafValues>
-            5.3921067714691162e-01 -4.8135292530059814e-01
-            -2.9889726638793945e-01 6.0160857439041138e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6436674118041992e+01</treeThreshold>
-          <internalNodes>
-            1 2 573 1.2500000000000000e+01 0 -1 574
-            6.5000000000000000e+00 -2 -3 575 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3214797973632812e-01 -2.8101849555969238e-01
-            6.6012543439865112e-01 -7.0270007848739624e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6612668991088867e+01</treeThreshold>
-          <internalNodes>
-            1 2 576 4.4500000000000000e+01 0 -1 577 3724. -2 -3 578
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.2758970260620117e-01 -5.7332456111907959e-01
-            -7.3119300603866577e-01 2.5508829951286316e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6793443679809570e+01</treeThreshold>
-          <internalNodes>
-            1 2 579 1.5000000000000000e+00 0 -1 580
-            2.5500000000000000e+01 -2 -3 581 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3251662254333496e-01 4.4916898012161255e-01
-            4.5003961771726608e-02 -5.9809100627899170e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6161096572875977e+01</treeThreshold>
-          <internalNodes>
-            1 2 582 1.5000000000000000e+00 0 -1 583
-            1.5000000000000000e+00 -2 -3 584 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4945521354675293e-01 6.5612715482711792e-01
-            -6.3234704732894897e-01 7.2132863104343414e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.6042703628540039e+01</treeThreshold>
-          <internalNodes>
-            1 2 585 2.7500000000000000e+01 0 -1 586
-            1.3500000000000000e+01 -2 -3 587 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1839324980974197e-01 3.9118841290473938e-01
-            2.9518869519233704e-01 -8.5212147235870361e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6447755813598633e+01</treeThreshold>
-          <internalNodes>
-            1 2 588 5.0000000000000000e-01 0 -1 589
-            5.0000000000000000e-01 -2 -3 590 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.3366543054580688e-01 4.0505367517471313e-01
-            4.8622503876686096e-02 -5.6565636396408081e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7133924484252930e+01</treeThreshold>
-          <internalNodes>
-            1 2 591 2.0350000000000000e+02 0 -1 592 334. -2 -3 593
-            3.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -3.5271939635276794e-01 8.6447751522064209e-01
-            7.1061849594116211e-01 -1.1952371150255203e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6702384948730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 594 4.5000000000000000e+00 0 -1 595
-            2.8500000000000000e+01 -2 -3 596 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9405979216098785e-02 6.6947597265243530e-01
-            -4.9912232160568237e-01 1.0251764953136444e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7397886276245117e+01</treeThreshold>
-          <internalNodes>
-            1 2 597 2.2450000000000000e+02 0 -1 598 42. -2 -3 599
-            4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.0597994327545166e-01 -9.4353288412094116e-01
-            -6.9157105684280396e-01 2.2714031860232353e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7262920379638672e+01</treeThreshold>
-          <internalNodes>
-            1 2 600 3.1500000000000000e+01 0 -1 601
-            1.0450000000000000e+02 -2 -3 602 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.3496619462966919e-01 4.4948977231979370e-01
-            1.4885289967060089e-01 -8.6381590366363525e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7465213775634766e+01</treeThreshold>
-          <internalNodes>
-            1 2 603 1.4500000000000000e+01 0 -1 604
-            2.5000000000000000e+00 -2 -3 605 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.1829992532730103e-01 3.5132697224617004e-01
-            4.2205992341041565e-01 -4.3211916089057922e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7307765960693359e+01</treeThreshold>
-          <internalNodes>
-            1 2 606 5.5000000000000000e+00 0 -1 607
-            1.6500000000000000e+01 -2 -3 608 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.3471553921699524e-01 5.3184741735458374e-01
-            1.5001934766769409e-01 -5.0502711534500122e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7614244461059570e+01</treeThreshold>
-          <internalNodes>
-            1 2 609 2.1950000000000000e+02 0 -1 610
-            3.5000000000000000e+00 -2 -3 611 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.3997812271118164e-01 -9.3997251987457275e-01
-            3.0647855997085571e-01 -2.0921668410301208e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7706068038940430e+01</treeThreshold>
-          <internalNodes>
-            1 2 612 5.7500000000000000e+01 0 -1 613
-            5.5450000000000000e+02 -2 -3 614 6271.</internalNodes>
-          <leafValues>
-            2.8178128600120544e-01 -6.5705215930938721e-01
-            2.1660777926445007e-01 -8.9905387163162231e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7754480361938477e+01</treeThreshold>
-          <internalNodes>
-            1 2 615 5.0000000000000000e-01 0 -1 616
-            1.6500000000000000e+01 -2 -3 617 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.6525924205780029e-01 5.8488470315933228e-01
-            2.6185688376426697e-01 -3.7666809558868408e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7758506774902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 618 5.8750000000000000e+02 0 -1 619
-            5.0000000000000000e-01 -2 -3 620 7.9050000000000000e+02</internalNodes>
-          <leafValues>
-            6.1497175693511963e-01 -5.2589684724807739e-01
-            5.6739014387130737e-01 -1.2997034192085266e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8137268066406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 621 1.2500000000000000e+01 0 -1 622
-            2.7500000000000000e+01 -2 -3 623 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7133096009492874e-02 -7.4169838428497314e-01
-            -5.5511766672134399e-01 3.7876096367835999e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8127597808837891e+01</treeThreshold>
-          <internalNodes>
-            1 2 624 1.3500000000000000e+01 0 -1 625
-            1.6500000000000000e+01 -2 -3 626 7.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -9.9238857626914978e-02 5.2959042787551880e-01
-            1.2502020597457886e-01 -6.9074809551239014e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8081335067749023e+01</treeThreshold>
-          <internalNodes>
-            1 2 627 1.2500000000000000e+01 0 -1 628 2. -2 -3 629
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.4234240055084229e-01 1. 3.8502028584480286e-01
-            -1.8359494209289551e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8053295135498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 630 2.7500000000000000e+01 0 -1 631
-            5.9500000000000000e+01 -2 -3 632 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9844527244567871e-01 2.2154885530471802e-01
-            1.6719245910644531e-01 -8.5411649942398071e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8328479766845703e+01</treeThreshold>
-          <internalNodes>
-            1 2 633 1.2564500000000000e+04 0 -1 634
-            4.5000000000000000e+00 -2 -3 635 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1779359579086304e-01 3.0374595522880554e-01
-            -7.3483371734619141e-01 7.6394975185394287e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.8571502685546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 636 2.5000000000000000e+00 0 -1 637
-            2.6750000000000000e+02 -2 -3 638 6.4350000000000000e+02</internalNodes>
-          <leafValues>
-            -8.5374289751052856e-01 4.6067333221435547e-01
-            -4.1071122884750366e-01 3.6673283576965332e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8682445526123047e+01</treeThreshold>
-          <internalNodes>
-            1 2 639 2.0650000000000000e+02 0 -1 640
-            4.2500000000000000e+01 -2 -3 641 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.0848436355590820e-01 2.4837252497673035e-01
-            -6.5386766195297241e-01 4.2162042856216431e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8954551696777344e+01</treeThreshold>
-          <internalNodes>
-            1 2 642 6.5000000000000000e+00 0 -1 643
-            3.0500000000000000e+01 -2 -3 644 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9916085004806519e-01 2.7210691571235657e-01
-            -1.1765263974666595e-01 -8.1677961349487305e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8866088867187500e+01</treeThreshold>
-          <internalNodes>
-            1 2 645 1.5000000000000000e+00 0 -1 646
-            6.5000000000000000e+00 -2 -3 647 1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            5.0670212507247925e-01 -2.6341021060943604e-01
-            -4.3560948967933655e-01 3.6474627256393433e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8741416931152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 648 4.1500000000000000e+01 0 -1 649
-            6.5000000000000000e+00 -2 -3 650 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2751459181308746e-02 -6.6522449254989624e-01
-            3.3934053778648376e-01 -4.9355345964431763e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8643299102783203e+01</treeThreshold>
-          <internalNodes>
-            1 2 651 5.9775000000000000e+03 0 -1 652
-            1.8165000000000000e+03 -2 -3 653 1.4355000000000000e+03</internalNodes>
-          <leafValues>
-            5.5302268266677856e-01 -4.7563236951828003e-01
-            6.5803569555282593e-01 -9.8118394613265991e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.8880964279174805e+01</treeThreshold>
-          <internalNodes>
-            1 2 654 1.2650000000000000e+02 0 -1 655
-            2.5000000000000000e+00 -2 -3 656 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5744998455047607e-01 2.8973925113677979e-01
-            -5.4551291465759277e-01 8.2080578804016113e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8557128906250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 657 4.6500000000000000e+01 0 -1 658 1647. -2 -3 659
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0912799835205078e-01 -8.0168753862380981e-01
-            3.0439880490303040e-01 -3.2383540272712708e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9214336395263672e+01</treeThreshold>
-          <internalNodes>
-            1 2 660 1.6085000000000000e+03 0 -1 661
-            2.0950000000000000e+02 -2 -3 662 2.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.6497074365615845e-01 7.4361735582351685e-01
-            7.8719192743301392e-01 -1.0578166693449020e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.9558198928833008e+01</treeThreshold>
-          <internalNodes>
-            1 2 663 5.5000000000000000e+00 0 -1 664 141. -2 -3 665
-            1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0406695008277893e-01 -7.0202612876892090e-01
-            -4.2011860013008118e-01 6.0265243053436279e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9143066406250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 666 1.1500000000000000e+01 0 -1 667
-            8.5000000000000000e+00 -2 -3 668 2.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -4.1513276100158691e-01 4.5337858796119690e-01
-            3.6399593949317932e-01 -7.8625452518463135e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9362360000610352e+01</treeThreshold>
-          <internalNodes>
-            1 2 669 3.1500000000000000e+01 0 -1 670
-            3.5000000000000000e+00 -2 -3 671 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3197765350341797e-01 2.7408641576766968e-01
-            -6.3501793146133423e-01 4.3600288033485413e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9299673080444336e+01</treeThreshold>
-          <internalNodes>
-            1 2 672 3.5000000000000000e+00 0 -1 673
-            1.3500000000000000e+01 -2 -3 674 6918.</internalNodes>
-          <leafValues>
-            -4.8876148462295532e-01 4.8771849274635315e-01
-            -3.5163021087646484e-01 5.7008403539657593e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9273160934448242e+01</treeThreshold>
-          <internalNodes>
-            1 2 675 4.2150000000000000e+02 0 -1 676
-            2.2035000000000000e+03 -2 -3 677 4125.</internalNodes>
-          <leafValues>
-            -1. 4.3742546439170837e-01 -6.3171046972274780e-01
-            -1.2324055656790733e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.9674695968627930e+01</treeThreshold>
-          <internalNodes>
-            1 2 678 5.0000000000000000e-01 0 -1 679
-            1.0500000000000000e+01 -2 -3 680 6.7150000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4401791393756866e-01 5.4219561815261841e-01
-            4.5299509167671204e-01 -4.0972766280174255e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9536827087402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 681 80. 0 -1 682 9.5000000000000000e+00 -2 -3 683
-            1.1950000000000000e+02</internalNodes>
-          <leafValues>
-            9.7771358489990234e-01 -1. -2.7852934598922729e-01
-            3.1141099333763123e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9679944992065430e+01</treeThreshold>
-          <internalNodes>
-            1 2 684 5.5000000000000000e+00 0 -1 685
-            5.5000000000000000e+00 -2 -3 686 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4437903761863708e-01 4.5901042222976685e-01
-            1.4311666786670685e-01 -5.8588796854019165e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9943355560302734e+01</treeThreshold>
-          <internalNodes>
-            1 2 687 2.9500000000000000e+01 0 -1 688
-            6.5000000000000000e+00 -2 -3 689 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8437657356262207e-01 2.6341116428375244e-01
-            -6.2989181280136108e-01 2.0000371336936951e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9625724792480469e+01</treeThreshold>
-          <internalNodes>
-            1 2 690 2.0850000000000000e+02 0 -1 691
-            2.3305000000000000e+03 -2 -3 692 866.</internalNodes>
-          <leafValues>
-            -3.1762993335723877e-01 5.5581647157669067e-01
-            5.3226226568222046e-01 -4.7602936625480652e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9914857864379883e+01</treeThreshold>
-          <internalNodes>
-            1 2 693 8.7850000000000000e+02 0 -1 694
-            6.5050000000000000e+02 -2 -3 695 1.2605000000000000e+03</internalNodes>
-          <leafValues>
-            2.8913190960884094e-01 -8.0038177967071533e-01
-            -7.6349312067031860e-01 1.2914163060486317e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.0337768554687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 696 1.8500000000000000e+01 0 -1 697 51. -2 -3 698
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.0884056389331818e-01 -6.6362190246582031e-01
-            4.8303022980690002e-01 -1.5653999149799347e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0547544479370117e+01</treeThreshold>
-          <internalNodes>
-            1 2 699 5.5000000000000000e+00 0 -1 700
-            4.4500000000000000e+01 -2 -3 701 52.</internalNodes>
-          <leafValues>
-            -5.9065473079681396e-01 2.0977459847927094e-01
-            -7.6793259382247925e-01 5.2228933572769165e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0560253143310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 702 4.5000000000000000e+00 0 -1 703
-            2.4650000000000000e+02 -2 -3 704 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            4.7756865620613098e-01 -6.9306534528732300e-01
-            -4.7408469021320343e-02 -7.5790488719940186e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0091964721679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 705 3.8500000000000000e+01 0 -1 706
-            5.0000000000000000e-01 -2 -3 707 458.</internalNodes>
-          <leafValues>
-            4.1837117075920105e-01 -5.6005704402923584e-01
-            -4.6829015016555786e-01 3.3648452162742615e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0445671081542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 708 4.5000000000000000e+00 0 -1 709
-            2.7895000000000000e+03 -2 -3 710 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6157336831092834e-01 3.5370638966560364e-01
-            -5.6435430049896240e-01 6.2603580951690674e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0708145141601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 711 1.1245000000000000e+03 0 -1 712
-            4.5000000000000000e+00 -2 -3 713 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9924837350845337e-01 4.3067482113838196e-01
-            -4.2009061574935913e-01 2.6247435808181763e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1024463653564453e+01</treeThreshold>
-          <internalNodes>
-            1 2 714 5.5000000000000000e+00 0 -1 715
-            1.1500000000000000e+01 -2 -3 716 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.0043709278106689e-01 3.1631988286972046e-01
-            -5.1429873704910278e-01 2.7576768398284912e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0803630828857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 717 5.8750000000000000e+02 0 -1 718 3981. -2 -3 719
-            1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.4785442352294922e-01 7.9078370332717896e-01
-            6.8359661102294922e-01 -2.8464736416935921e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1062959671020508e+01</treeThreshold>
-          <internalNodes>
-            1 2 720 2.5000000000000000e+00 0 -1 721
-            1.5000000000000000e+00 -2 -3 722 3.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.4614498615264893e-01 7.4008464813232422e-01
-            -2.5458994507789612e-01 4.7160488367080688e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1148992538452148e+01</treeThreshold>
-          <internalNodes>
-            1 2 723 2.5000000000000000e+00 0 -1 724
-            1.9500000000000000e+01 -2 -3 725 1.1365000000000000e+03</internalNodes>
-          <leafValues>
-            -7.9459643363952637e-01 4.0373617410659790e-01
-            1.7909039556980133e-01 -4.8390582203865051e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1316343307495117e+01</treeThreshold>
-          <internalNodes>
-            1 2 726 596. 0 -1 727 2.9500000000000000e+01 -2 -3 728
-            9.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1621825695037842e-01 2.6443120837211609e-01
-            -7.2724926471710205e-01 3.8569703698158264e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1407173156738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 729 3.5000000000000000e+00 0 -1 730
-            1.2500000000000000e+01 -2 -3 731 1.6250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2135920524597168e-01 3.0805602669715881e-01
-            -5.1675158739089966e-01 8.4476417303085327e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1468662261962891e+01</treeThreshold>
-          <internalNodes>
-            1 2 732 2.5000000000000000e+00 0 -1 733
-            9.5000000000000000e+00 -2 -3 734 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.6017938852310181e-01 -8.2636475563049316e-02
-            5.0263375043869019e-01 -6.4655619859695435e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1531848907470703e+01</treeThreshold>
-          <internalNodes>
-            1 2 735 1.6500000000000000e+01 0 -1 736
-            1.5000000000000000e+00 -2 -3 737 132.</internalNodes>
-          <leafValues>
-            6.3187964260578156e-02 -4.6502736210823059e-01
-            -5.3921943902969360e-01 6.6515022516250610e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1421955108642578e+01</treeThreshold>
-          <internalNodes>
-            1 2 738 1.4500000000000000e+01 0 -1 739
-            5.5000000000000000e+00 -2 -3 740 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.3170220851898193e-01 -7.9929661750793457e-01
-            4.2181393504142761e-01 -1.0989431291818619e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1327116012573242e+01</treeThreshold>
-          <internalNodes>
-            1 2 741 3.5000000000000000e+00 0 -1 742 35. -2 -3 743
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3855998516082764e-01 4.6628227829933167e-01
-            4.7352400422096252e-01 -9.4839885830879211e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1836402893066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 744 1.7500000000000000e+01 0 -1 745 555. -2 -3 746
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3723833560943604e-01 -9.0897613763809204e-01
-            -7.3575176298618317e-02 5.0928729772567749e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2053348541259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 747 5.0000000000000000e-01 0 -1 748
-            1.6500000000000000e+01 -2 -3 749 6.5850000000000000e+02</internalNodes>
-          <leafValues>
-            3.9292082190513611e-01 -5.4508280754089355e-01
-            -3.8765028119087219e-01 7.9302084445953369e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2000936508178711e+01</treeThreshold>
-          <internalNodes>
-            1 2 750 1.2495000000000000e+03 0 -1 751
-            7.5650000000000000e+02 -2 -3 752 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3031547069549561e-01 6.1485505104064941e-01
-            -7.2577434778213501e-01 -3.1862542033195496e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.2258289337158203e+01</treeThreshold>
-          <internalNodes>
-            1 2 753 1.7050000000000000e+02 0 -1 754
-            2.7500000000000000e+01 -2 -3 755 171.</internalNodes>
-          <leafValues>
-            2.5735321640968323e-01 -4.8002240061759949e-01
-            -8.0062097311019897e-01 3.0654129385948181e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2328397750854492e+01</treeThreshold>
-          <internalNodes>
-            1 2 756 1.2550000000000000e+02 0 -1 757
-            4.9850000000000000e+02 -2 -3 758 4.4150000000000000e+02</internalNodes>
-          <leafValues>
-            -5.5743676424026489e-01 7.0109486579895020e-02
-            4.4649991393089294e-01 -7.7318650484085083e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2216890335083008e+01</treeThreshold>
-          <internalNodes>
-            1 2 759 6.5000000000000000e+00 0 -1 760
-            1.5000000000000000e+00 -2 -3 761 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4395025968551636e-01 3.0336576700210571e-01
-            -7.8275823593139648e-01 1.5390900894999504e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.2302726745605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 762 1.5000000000000000e+00 0 -1 763
-            5.7500000000000000e+01 -2 -3 764 2.0645000000000000e+03</internalNodes>
-          <leafValues>
-            4.8738116025924683e-01 -3.1202495098114014e-01
-            -4.3800228834152222e-01 2.9288199543952942e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2548938751220703e+01</treeThreshold>
-          <internalNodes>
-            1 2 765 4.9500000000000000e+01 0 -1 766
-            3.8500000000000000e+01 -2 -3 767 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8418575525283813e-01 -6.1569869518280029e-01
-            2.4621097743511200e-01 -7.1180444955825806e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2475860595703125e+01</treeThreshold>
-          <internalNodes>
-            1 2 768 4.5000000000000000e+00 0 -1 769
-            1.7850000000000000e+02 -2 -3 770 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3133555650711060e-01 3.8137707114219666e-01
-            -3.6368274688720703e-01 6.6181749105453491e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2855289459228516e+01</treeThreshold>
-          <internalNodes>
-            1 2 771 4284. 0 -1 772 1.0550000000000000e+02 -2 -3 773
-            2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.8270370364189148e-01 5.1926845312118530e-01
-            -4.9393907189369202e-01 3.6390557885169983e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2716596603393555e+01</treeThreshold>
-          <internalNodes>
-            1 2 774 4.5000000000000000e+00 0 -1 775
-            2.5500000000000000e+01 -2 -3 776 6.0350000000000000e+02</internalNodes>
-          <leafValues>
-            -5.2201086282730103e-01 4.4320568442344666e-01
-            -4.9849912524223328e-01 2.6197108626365662e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2941522598266602e+01</treeThreshold>
-          <internalNodes>
-            1 2 777 5.7850000000000000e+02 0 -1 778
-            6.8250000000000000e+02 -2 -3 779 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4641335010528564e-01 9.6406400203704834e-01
-            2.2492493689060211e-01 -7.7606719732284546e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3111333847045898e+01</treeThreshold>
-          <internalNodes>
-            1 2 780 2.9650000000000000e+02 0 -1 781
-            9.5000000000000000e+00 -2 -3 782 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2134265899658203e-01 1.6981208324432373e-01
-            -8.7735611200332642e-01 6.5406101942062378e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3225652694702148e+01</treeThreshold>
-          <internalNodes>
-            1 2 783 5.0000000000000000e-01 0 -1 784
-            3.5000000000000000e+00 -2 -3 785 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            4.8261573910713196e-01 -1.2186601758003235e-01
-            -6.2313985824584961e-01 1.7973627150058746e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3488880157470703e+01</treeThreshold>
-          <internalNodes>
-            1 2 786 5.0000000000000000e-01 0 -1 787
-            2.5000000000000000e+00 -2 -3 788 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2940989732742310e-01 4.9927219748497009e-01
-            -5.5514144897460938e-01 4.2520754039287567e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.3246582031250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 789 1.7500000000000000e+01 0 -1 790
-            3.5000000000000000e+00 -2 -3 791 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3804731667041779e-01 -3.6675044894218445e-01
-            -7.8130763769149780e-01 4.6650439500808716e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3027326583862305e+01</treeThreshold>
-          <internalNodes>
-            1 2 792 2.0450000000000000e+02 0 -1 793
-            6.4350000000000000e+02 -2 -3 794 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            6.1607003211975098e-01 -3.5964947938919067e-01
-            6.6453498601913452e-01 -1.7912100255489349e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3406442642211914e+01</treeThreshold>
-          <internalNodes>
-            1 2 795 5.0000000000000000e-01 0 -1 796
-            6.5000000000000000e+00 -2 -3 797 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.2512348890304565e-01 3.7911432981491089e-01
-            3.5871699452400208e-01 -4.4794848561286926e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3616649627685547e+01</treeThreshold>
-          <internalNodes>
-            1 2 798 2.8500000000000000e+01 0 -1 799
-            4.7450000000000000e+02 -2 -3 800 2.9250000000000000e+02</internalNodes>
-          <leafValues>
-            6.9855457544326782e-01 -7.0031523704528809e-01
-            2.1020780503749847e-01 -7.6559376716613770e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4126110076904297e+01</treeThreshold>
-          <internalNodes>
-            1 2 801 2.7500000000000000e+01 0 -1 802
-            6.5000000000000000e+00 -2 -3 803 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3670162260532379e-01 5.7600808143615723e-01
-            7.9060065746307373e-01 -6.8735271692276001e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4140369415283203e+01</treeThreshold>
-          <internalNodes>
-            1 2 804 5.0000000000000000e-01 0 -1 805
-            5.0000000000000000e-01 -2 -3 806 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1332882642745972e-01 5.2299410104751587e-01
-            -7.9110765457153320e-01 -2.8204634785652161e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4360799789428711e+01</treeThreshold>
-          <internalNodes>
-            1 2 807 4.5000000000000000e+00 0 -1 808
-            1.3185000000000000e+03 -2 -3 809 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1156605482101440e-01 2.2043134272098541e-01
-            2.7905371785163879e-01 -7.4440413713455200e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4109243392944336e+01</treeThreshold>
-          <internalNodes>
-            1 2 810 1.3500000000000000e+01 0 -1 811
-            5.0000000000000000e-01 -2 -3 812 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3124285042285919e-01 -6.3171100616455078e-01
-            -8.5163635015487671e-01 3.0160894989967346e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4255434036254883e+01</treeThreshold>
-          <internalNodes>
-            1 2 813 1.5650000000000000e+02 0 -1 814
-            3.5000000000000000e+00 -2 -3 815 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0664036273956299e-01 1.4619015157222748e-01
-            -7.6265025138854980e-01 9.5157426595687866e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4288377761840820e+01</treeThreshold>
-          <internalNodes>
-            1 2 816 8.3850000000000000e+02 0 -1 817
-            1.6815000000000000e+03 -2 -3 818 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.9312603771686554e-01 7.6522910594940186e-01
-            -5.9187997132539749e-02 -8.7799388170242310e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4200824737548828e+01</treeThreshold>
-          <internalNodes>
-            1 2 819 2.3685000000000000e+03 0 -1 820
-            6.4500000000000000e+01 -2 -3 821 2218.</internalNodes>
-          <leafValues>
-            -2.3894232511520386e-01 3.3463284373283386e-01
-            9.7570341825485229e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.4393486022949219e+01</treeThreshold>
-          <internalNodes>
-            1 2 822 1.5000000000000000e+00 0 -1 823
-            6.2500000000000000e+01 -2 -3 824 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.8941594958305359e-01 -6.3870257139205933e-01
-            2.9708841443061829e-01 -4.5916315913200378e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3864915847778320e+01</treeThreshold>
-          <internalNodes>
-            1 2 825 5.8500000000000000e+01 0 -1 826
-            5.0000000000000000e-01 -2 -3 827 5.0550000000000000e+02</internalNodes>
-          <leafValues>
-            1.0665965825319290e-01 -5.2857077121734619e-01
-            4.3078324198722839e-01 -6.8552410602569580e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4371673583984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 828 4.6500000000000000e+01 0 -1 829
-            2.8500000000000000e+01 -2 -3 830 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.6691280603408813e-01 9.4536936283111572e-01
-            5.0675743818283081e-01 -7.4976824223995209e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4283998489379883e+01</treeThreshold>
-          <internalNodes>
-            1 2 831 8.5000000000000000e+00 0 -1 832
-            4.5000000000000000e+00 -2 -3 833 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1.1491531878709793e-01 -5.4051393270492554e-01
-            5.9726655483245850e-01 -8.7674349546432495e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4178682327270508e+01</treeThreshold>
-          <internalNodes>
-            1 2 834 2.4500000000000000e+01 0 -1 835 31. -2 -3 836
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.4163693785667419e-01 -8.9226043224334717e-01
-            4.4437414407730103e-01 -1.0531529039144516e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4790372848510742e+01</treeThreshold>
-          <internalNodes>
-            1 2 837 2.5500000000000000e+01 0 -1 838
-            3.3050000000000000e+02 -2 -3 839 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.6818559169769287e-01 9.3957829475402832e-01
-            6.1168950796127319e-01 -2.6481609791517258e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4897542953491211e+01</treeThreshold>
-          <internalNodes>
-            1 2 840 5.0000000000000000e-01 0 -1 841
-            5.0000000000000000e-01 -2 -3 842 2407.</internalNodes>
-          <leafValues>
-            -3.7540107965469360e-01 5.3918349742889404e-01
-            4.6452194452285767e-01 -4.5957338809967041e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5076763153076172e+01</treeThreshold>
-          <internalNodes>
-            1 2 843 228. 0 -1 844 182. -2 -3 845 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7922003567218781e-01 -6.3466674089431763e-01
-            -9.4654053449630737e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.5344453811645508e+01</treeThreshold>
-          <internalNodes>
-            1 2 846 2.1050000000000000e+02 0 -1 847 950. -2 -3 848
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.8418850302696228e-01 -3.3828052878379822e-01
-            -9.4338703155517578e-01 5.6358563899993896e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5327934265136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 849 5.7850000000000000e+02 0 -1 850 2721. -2 -3 851
-            5.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.7749001979827881e-01 7.9369461536407471e-01
-            6.1001539230346680e-01 -3.9780076593160629e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.5586107254028320e+01</treeThreshold>
-          <internalNodes>
-            1 2 852 1.5500000000000000e+01 0 -1 853
-            5.0000000000000000e-01 -2 -3 854 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.5170124173164368e-02 -8.7068217992782593e-01
-            3.4386867284774780e-01 -3.1679311394691467e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5956110000610352e+01</treeThreshold>
-          <internalNodes>
-            1 2 855 4.1250000000000000e+02 0 -1 856
-            9.5000000000000000e+00 -2 -3 857 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4299390912055969e-02 4.5086464285850525e-01
-            2.8941693902015686e-01 -7.5506448745727539e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5679136276245117e+01</treeThreshold>
-          <internalNodes>
-            1 2 858 1.5500000000000000e+01 0 -1 859
-            3.5500000000000000e+01 -2 -3 860 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.7768863439559937e-01 -9.8376011848449707e-01
-            2.2712181508541107e-01 -3.7263166904449463e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5702135086059570e+01</treeThreshold>
-          <internalNodes>
-            1 2 861 5.2500000000000000e+01 0 -1 862
-            1.1305000000000000e+03 -2 -3 863 213.</internalNodes>
-          <leafValues>
-            2.2998491302132607e-02 -5.8967226743698120e-01
-            6.5218383073806763e-01 -8.2674098014831543e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5561569213867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 864 5.5500000000000000e+01 0 -1 865
-            9.5000000000000000e+00 -2 -3 866 3.1350000000000000e+02</internalNodes>
-          <leafValues>
-            2.0403856039047241e-01 -5.6006175279617310e-01
-            -1.6610753536224365e-01 5.0708794593811035e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5522092819213867e+01</treeThreshold>
-          <internalNodes>
-            1 2 867 5.0000000000000000e-01 0 -1 868 5. -2 -3 869
-            3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3519564867019653e-01 5.9799957275390625e-01
-            -6.4083904027938843e-01 8.0231800675392151e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.5928745269775391e+01</treeThreshold>
-          <internalNodes>
-            1 2 870 2.7500000000000000e+01 0 -1 871
-            6.5000000000000000e+00 -2 -3 872 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.7719250917434692e-01 1.6834596171975136e-02
-            -4.1419923305511475e-01 4.9665707349777222e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5877567291259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 873 4.2500000000000000e+01 0 -1 874
-            1.5000000000000000e+00 -2 -3 875 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5778728723526001e-01 -6.9553768634796143e-01
-            5.8824920654296875e-01 -5.1177542656660080e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.6253459930419922e+01</treeThreshold>
-          <internalNodes>
-            1 2 876 2.0450000000000000e+02 0 -1 877
-            5.5000000000000000e+00 -2 -3 878 2.0750000000000000e+02</internalNodes>
-          <leafValues>
-            1.4472042024135590e-01 -5.3407484292984009e-01
-            5.5299741029739380e-01 -2.1952067315578461e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5972379684448242e+01</treeThreshold>
-          <internalNodes>
-            1 2 879 5.0000000000000000e-01 0 -1 880
-            9.2500000000000000e+01 -2 -3 881 2.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9287506937980652e-01 4.8725369572639465e-01
-            2.1028327941894531e-01 -4.5818585157394409e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6239015579223633e+01</treeThreshold>
-          <internalNodes>
-            1 2 882 3.3450000000000000e+02 0 -1 883
-            2.9500000000000000e+01 -2 -3 884 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.7773824334144592e-01 2.6663535833358765e-01
-            9.2568081617355347e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.6405815124511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 885 7.5000000000000000e+00 0 -1 886
-            1.5500000000000000e+01 -2 -3 887 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3278310000896454e-01 5.4445451498031616e-01
-            -4.4695791602134705e-01 5.7305967807769775e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6828212738037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 888 3.1750000000000000e+02 0 -1 889
-            8.5000000000000000e+00 -2 -3 890 1.9950000000000000e+02</internalNodes>
-          <leafValues>
-            5.8375543355941772e-01 -1.7268431186676025e-01
-            -6.6015034914016724e-01 4.4744126498699188e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.7001083374023438e+01</treeThreshold>
-          <internalNodes>
-            1 2 891 7.4500000000000000e+01 0 -1 892
-            9.5000000000000000e+00 -2 -3 893 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7140247821807861e-01 1.7287059128284454e-01
-            -9.5679062604904175e-01 2.9170122742652893e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6600372314453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 894 5.0000000000000000e-01 0 -1 895
-            1.5000000000000000e+00 -2 -3 896 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1320728063583374e-01 3.7253630161285400e-01
-            5.1001715660095215e-01 -4.2740473151206970e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6939287185668945e+01</treeThreshold>
-          <internalNodes>
-            1 2 897 742. 0 -1 898 1.5000000000000000e+00 -2 -3 899
-            4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            6.4842426776885986e-01 -6.8702745437622070e-01
-            5.3773084655404091e-03 7.0070070028305054e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7120637893676758e+01</treeThreshold>
-          <internalNodes>
-            1 2 900 4.7500000000000000e+01 0 -1 901
-            2.1500000000000000e+01 -2 -3 902 155.</internalNodes>
-          <leafValues>
-            -2.1175275743007660e-01 3.5446098446846008e-01
-            3.6745795607566833e-01 -7.7352613210678101e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6940479278564453e+01</treeThreshold>
-          <internalNodes>
-            1 2 903 5.5000000000000000e+00 0 -1 904
-            5.0000000000000000e-01 -2 -3 905 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.2342516779899597e-01 4.6100237965583801e-01
-            7.2207629680633545e-02 -5.1426035165786743e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6880437850952148e+01</treeThreshold>
-          <internalNodes>
-            1 2 906 4.1050000000000000e+02 0 -1 907
-            3.5000000000000000e+00 -2 -3 908 1.0185000000000000e+03</internalNodes>
-          <leafValues>
-            7.6362460851669312e-01 -2.9716432094573975e-01
-            6.9237434864044189e-01 -6.0041967779397964e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.6966255187988281e+01</treeThreshold>
-          <internalNodes>
-            1 2 909 5.0000000000000000e-01 0 -1 910 28. -2 -3 911
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3636984825134277e-01 8.9863502979278564e-01
-            5.1865053176879883e-01 -1.0253517329692841e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7442039489746094e+01</treeThreshold>
-          <internalNodes>
-            1 2 912 2.3500000000000000e+01 0 -1 913
-            2.5000000000000000e+00 -2 -3 914 550.</internalNodes>
-          <leafValues>
-            1.5000563859939575e-01 -4.6704238653182983e-01
-            -6.6705381870269775e-01 4.7578340768814087e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7651542663574219e+01</treeThreshold>
-          <internalNodes>
-            1 2 915 2.0050000000000000e+02 0 -1 916
-            2.5000000000000000e+00 -2 -3 917 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.6723048686981201e-01 2.0950356125831604e-01
-            3.3526617288589478e-01 -7.9762780666351318e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7623653411865234e+01</treeThreshold>
-          <internalNodes>
-            1 2 918 8.5000000000000000e+00 0 -1 919
-            5.5000000000000000e+00 -2 -3 920 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1512671709060669e-01 1.2574225664138794e-01
-            4.8598203063011169e-01 -1.5266139805316925e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7450769424438477e+01</treeThreshold>
-          <internalNodes>
-            1 2 921 5.5000000000000000e+00 0 -1 922
-            6.5000000000000000e+00 -2 -3 923 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.1216700971126556e-01 5.0396865606307983e-01
-            5.1462185382843018e-01 -4.5113617181777954e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7734930038452148e+01</treeThreshold>
-          <internalNodes>
-            1 2 924 644. 0 -1 925 1.1500000000000000e+01 -2 -3 926
-            1.2050000000000000e+02</internalNodes>
-          <leafValues>
-            2.5870633125305176e-01 -8.3483195304870605e-01
-            -6.0892283916473389e-01 2.8416162729263306e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7435287475585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 927 2.5000000000000000e+00 0 -1 928
-            1.5000000000000000e+00 -2 -3 929 658.</internalNodes>
-          <leafValues>
-            -9.0528321266174316e-01 5.4103326797485352e-01
-            -2.9964354634284973e-01 4.7055888175964355e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7890865325927734e+01</treeThreshold>
-          <internalNodes>
-            1 2 930 2.6065000000000000e+03 0 -1 931
-            3.0950000000000000e+02 -2 -3 932 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.2102564424276352e-01 4.5557883381843567e-01
-            -9.6796959638595581e-01 4.1553020477294922e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7985542297363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 933 1.2535000000000000e+03 0 -1 934
-            6.4950000000000000e+02 -2 -3 935 4.1650000000000000e+02</internalNodes>
-          <leafValues>
-            6.4220869541168213e-01 -4.2341175675392151e-01
-            5.5095940828323364e-01 -3.7539717555046082e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8142776489257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 936 5.0000000000000000e-01 0 -1 937
-            4.5000000000000000e+00 -2 -3 938 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2875818014144897e-01 4.3458873033523560e-01
-            -5.8713775873184204e-01 1.6683255136013031e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8195165634155273e+01</treeThreshold>
-          <internalNodes>
-            1 2 939 7.7450000000000000e+02 0 -1 940
-            2.5000000000000000e+00 -2 -3 941 7.9250000000000000e+02</internalNodes>
-          <leafValues>
-            3.3088469505310059e-01 -7.3728382587432861e-01
-            4.7910848259925842e-01 -1.5558865666389465e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8348829269409180e+01</treeThreshold>
-          <internalNodes>
-            1 2 942 2.2850000000000000e+02 0 -1 943
-            2.7500000000000000e+01 -2 -3 944 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7540810704231262e-02 4.9717679619789124e-01
-            -8.4607970714569092e-01 3.1448280811309814e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8368389129638672e+01</treeThreshold>
-          <internalNodes>
-            1 2 945 5.5000000000000000e+00 0 -1 946
-            5.5000000000000000e+00 -2 -3 947 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.9352790117263794e-01 4.7426006197929382e-01
-            3.1184694170951843e-01 -3.9333003759384155e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8678846359252930e+01</treeThreshold>
-          <internalNodes>
-            1 2 948 9.5500000000000000e+01 0 -1 949
-            1.3250000000000000e+02 -2 -3 950 85.</internalNodes>
-          <leafValues>
-            8.9399956166744232e-02 -7.3296272754669189e-01
-            -7.4362647533416748e-01 3.2927182316780090e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8603195190429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 951 2.3500000000000000e+01 0 -1 952
-            5.5000000000000000e+00 -2 -3 953 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9263785481452942e-01 -2.7861267328262329e-01
-            2.4879254400730133e-02 -8.7280374765396118e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8429206848144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 954 5.0000000000000000e-01 0 -1 955
-            7.5000000000000000e+00 -2 -3 956 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9112609028816223e-01 4.5099055767059326e-01
-            -6.6482228040695190e-01 3.8441817741841078e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.8728115081787109e+01</treeThreshold>
-          <internalNodes>
-            1 2 957 4.5000000000000000e+00 0 -1 958
-            3.0500000000000000e+01 -2 -3 959 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.4782031178474426e-01 -4.3692314624786377e-01
-            -5.0424945354461670e-01 4.8909524083137512e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9034227371215820e+01</treeThreshold>
-          <internalNodes>
-            1 2 960 8.5000000000000000e+00 0 -1 961 1313. -2 -3 962
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1847491264343262e-01 -7.2316378355026245e-01
-            5.3542798757553101e-01 -6.9837749004364014e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9042299270629883e+01</treeThreshold>
-          <internalNodes>
-            1 2 963 8.2350000000000000e+02 0 -1 964
-            6.1500000000000000e+01 -2 -3 965 1.0848500000000000e+04</internalNodes>
-          <leafValues>
-            -2.7015477418899536e-01 2.4192942678928375e-01
-            9.2728316783905029e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.9266605377197266e+01</treeThreshold>
-          <internalNodes>
-            1 2 966 3.5500000000000000e+01 0 -1 967
-            1.1500000000000000e+01 -2 -3 968 474.</internalNodes>
-          <leafValues>
-            3.2317626476287842e-01 -2.3886755108833313e-01
-            -9.2069733142852783e-01 9.9993713200092316e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9196119308471680e+01</treeThreshold>
-          <internalNodes>
-            1 2 969 1.5000000000000000e+00 0 -1 970 50. -2 -3 971
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.8119459152221680e-01 1.5396067500114441e-01
-            3.5588577389717102e-01 -1.8907056748867035e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8916269302368164e+01</treeThreshold>
-          <internalNodes>
-            1 2 972 2.7500000000000000e+01 0 -1 973 78. -2 -3 974
-            1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            9.6468514204025269e-01 -2.7984911203384399e-01
-            5.2942144870758057e-01 -5.4215109348297119e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9137155532836914e+01</treeThreshold>
-          <internalNodes>
-            1 2 975 2.3500000000000000e+01 0 -1 976
-            5.7850000000000000e+02 -2 -3 977 2.9250000000000000e+02</internalNodes>
-          <leafValues>
-            2.3396319150924683e-01 -8.4364879131317139e-01
-            -3.0435711145401001e-01 3.2314890623092651e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9115297317504883e+01</treeThreshold>
-          <internalNodes>
-            1 2 978 5.0000000000000000e-01 0 -1 979
-            3.9550000000000000e+02 -2 -3 980 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9777445793151855e-01 -7.7888238430023193e-01
-            -4.1580772399902344e-01 3.4073171019554138e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9551794052124023e+01</treeThreshold>
-          <internalNodes>
-            1 2 981 1.8785000000000000e+03 0 -1 982
-            5.9715000000000000e+03 -2 -3 983 6.4250000000000000e+02</internalNodes>
-          <leafValues>
-            -1.2244975566864014e-01 6.9085955619812012e-01
-            -5.9161955118179321e-01 2.9289481043815613e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9916490554809570e+01</treeThreshold>
-          <internalNodes>
-            1 2 984 3.6500000000000000e+01 0 -1 985
-            5.5000000000000000e+00 -2 -3 986 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7442290782928467e-01 9.8645307123661041e-02
-            4.4346800446510315e-01 -1.5005703270435333e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9763261795043945e+01</treeThreshold>
-          <internalNodes>
-            1 2 987 3.2500000000000000e+01 0 -1 988
-            1.0500000000000000e+01 -2 -3 989 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8456574082374573e-01 3.4571200609207153e-01
-            5.5213904380798340e-01 -5.1309728622436523e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0075271606445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 990 5.5000000000000000e+00 0 -1 991 3216. -2 -3 992 57.</internalNodes>
-          <leafValues>
-            3.7469649314880371e-01 -7.7058547735214233e-01
-            -6.3845652341842651e-01 4.0090378373861313e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0020376205444336e+01</treeThreshold>
-          <internalNodes>
-            1 2 993 6.6650000000000000e+02 0 -1 994
-            1.5000000000000000e+00 -2 -3 995 1.6650000000000000e+02</internalNodes>
-          <leafValues>
-            6.1095565557479858e-01 -6.7465776205062866e-01
-            2.2271032631397247e-01 -8.2703709602355957e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9878087997436523e+01</treeThreshold>
-          <internalNodes>
-            1 2 996 5.5000000000000000e+00 0 -1 997
-            1.1500000000000000e+01 -2 -3 998 6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.6279782056808472e-01 1.8749718368053436e-01
-            6.7090582847595215e-01 -1.3304303586483002e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9944360733032227e+01</treeThreshold>
-          <internalNodes>
-            1 2 999 1.5000000000000000e+00 0 -1 1000
-            2.5000000000000000e+00 -2 -3 1001 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 4.3671074509620667e-01 6.6273018717765808e-02
-            -5.3205168247222900e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9942871093750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1002 5.5000000000000000e+00 0 -1 1003
-            3.7450000000000000e+02 -2 -3 1004 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.1623644828796387e-01 -4.8089489340782166e-01
-            5.9936344623565674e-01 -3.1623546034097672e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0450216293334961e+01</treeThreshold>
-          <internalNodes>
-            1 2 1005 7.8750000000000000e+02 0 -1 1006
-            6.7550000000000000e+02 -2 -3 1007 7.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9125915765762329e-01 5.5245697498321533e-01
-            5.0734555721282959e-01 -1.7348597943782806e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0483926773071289e+01</treeThreshold>
-          <internalNodes>
-            1 2 1008 2.2350000000000000e+02 0 -1 1009
-            5.5000000000000000e+00 -2 -3 1010 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1597571372985840e-01 -3.2840871810913086e-01
-            -4.1519615054130554e-01 3.1820172071456909e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0558099746704102e+01</treeThreshold>
-          <internalNodes>
-            1 2 1011 4.8500000000000000e+01 0 -1 1012
-            5.5000000000000000e+00 -2 -3 1013 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            7.4174232780933380e-02 -6.8477684259414673e-01
-            -9.2985051870346069e-01 3.0161842703819275e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0625425338745117e+01</treeThreshold>
-          <internalNodes>
-            1 2 1014 1.8500000000000000e+01 0 -1 1015
-            9.3500000000000000e+01 -2 -3 1016 1.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.1940811872482300e-01 2.9973128437995911e-01
-            7.6479032635688782e-02 -6.5602862834930420e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0697441101074219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1017 3.7500000000000000e+01 0 -1 1018
-            2.1500000000000000e+01 -2 -3 1019 5804.</internalNodes>
-          <leafValues>
-            -4.4756698608398438e-01 2.7423384785652161e-01
-            -6.8169790506362915e-01 2.0900464057922363e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0949892044067383e+01</treeThreshold>
-          <internalNodes>
-            1 2 1020 5.0000000000000000e-01 0 -1 1021
-            5.5000000000000000e+00 -2 -3 1022 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.4901775121688843e-01 2.5245016813278198e-01
-            2.4039171636104584e-01 -6.1729639768600464e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0929098129272461e+01</treeThreshold>
-          <internalNodes>
-            1 2 1023 5.0000000000000000e-01 0 -1 1024
-            6.5000000000000000e+00 -2 -3 1025 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9928469061851501e-01 5.0110679864883423e-01
-            -7.4043375253677368e-01 -4.4123314321041107e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.1333951950073242e+01</treeThreshold>
-          <internalNodes>
-            1 2 1026 6.5000000000000000e+00 0 -1 1027
-            2.1500000000000000e+01 -2 -3 1028 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8101430535316467e-02 6.1747199296951294e-01
-            2.6098625734448433e-02 -6.9707942008972168e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1116010665893555e+01</treeThreshold>
-          <internalNodes>
-            1 2 1029 2.0150000000000000e+02 0 -1 1030
-            5.0000000000000000e-01 -2 -3 1031 2.8750000000000000e+02</internalNodes>
-          <leafValues>
-            2.9852050542831421e-01 -4.3055999279022217e-01
-            6.7561793327331543e-01 -8.7017469108104706e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.1032897949218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1032 8.5000000000000000e+00 0 -1 1033
-            3.5000000000000000e+00 -2 -3 1034 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2436734437942505e-01 7.9362380504608154e-01
-            3.3129659295082092e-01 -2.2134104371070862e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0731082916259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1035 1.5500000000000000e+01 0 -1 1036
-            1.5000000000000000e+00 -2 -3 1037 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2363544702529907e-01 -8.2277619838714600e-01
-            3.4363475441932678e-01 -3.0181473493576050e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1582773208618164e+01</treeThreshold>
-          <internalNodes>
-            1 2 1038 2.3500000000000000e+01 0 -1 1039 256. -2 -3 1040
-            1245.</internalNodes>
-          <leafValues>
-            4.0018074214458466e-02 -5.4246288537979126e-01
-            -7.1379941701889038e-01 8.5168963670730591e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0922315597534180e+01</treeThreshold>
-          <internalNodes>
-            1 2 1041 1.1500000000000000e+01 0 -1 1042
-            9.7500000000000000e+01 -2 -3 1043 4.2050000000000000e+02</internalNodes>
-          <leafValues>
-            3.3170649409294128e-01 -6.6045612096786499e-01
-            -1.4949633181095123e-01 5.1487708091735840e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0648450851440430e+01</treeThreshold>
-          <internalNodes>
-            1 2 1044 5.7750000000000000e+02 0 -1 1045
-            5.0000000000000000e-01 -2 -3 1046 3.8250000000000000e+02</internalNodes>
-          <leafValues>
-            4.8874342441558838e-01 -8.4576064348220825e-01
-            6.7698836326599121e-01 -6.0642462223768234e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0702632904052734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1047 2.2500000000000000e+01 0 -1 1048
-            1.2950000000000000e+02 -2 -3 1049 3.5650000000000000e+02</internalNodes>
-          <leafValues>
-            5.4180499166250229e-02 -5.0506794452667236e-01
-            7.7279126644134521e-01 -4.4330042600631714e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1123544692993164e+01</treeThreshold>
-          <internalNodes>
-            1 2 1050 2.1500000000000000e+01 0 -1 1051
-            1.8500000000000000e+01 -2 -3 1052 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.4420540928840637e-01 5.7321655750274658e-01
-            4.2091187834739685e-01 -6.6199111938476562e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0851852416992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1053 1.5000000000000000e+00 0 -1 1054
-            4.5000000000000000e+00 -2 -3 1055 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.3376497030258179e-01 5.1961439847946167e-01
-            1.9672468304634094e-01 -3.8548988103866577e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1271551132202148e+01</treeThreshold>
-          <internalNodes>
-            1 2 1056 5.5000000000000000e+00 0 -1 1057
-            1.5000000000000000e+00 -2 -3 1058 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9125646352767944e-01 -4.8435854911804199e-01
-            6.1247032880783081e-01 -2.2513453662395477e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1481870651245117e+01</treeThreshold>
-          <internalNodes>
-            1 2 1059 2.6500000000000000e+01 0 -1 1060 160. -2 -3 1061
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.5120378732681274e-01 -7.5941944122314453e-01
-            4.1089880466461182e-01 -1.3137997686862946e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1036325454711914e+01</treeThreshold>
-          <internalNodes>
-            1 2 1062 1.5500000000000000e+01 0 -1 1063
-            1.4500000000000000e+01 -2 -3 1064 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4304007887840271e-02 -6.1823207139968872e-01
-            -2.7733555436134338e-01 6.1952215433120728e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1423891067504883e+01</treeThreshold>
-          <internalNodes>
-            1 2 1065 2.5450000000000000e+02 0 -1 1066
-            1.2500000000000000e+01 -2 -3 1067 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.7979310154914856e-01 -9.3194240331649780e-01
-            -1.1963248252868652e-01 4.4283005595207214e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0981994628906250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1068 4.5000000000000000e+00 0 -1 1069
-            1.5000000000000000e+00 -2 -3 1070 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.1386426687240601e-01 3.3223813772201538e-01
-            5.5634075403213501e-01 -4.5681276917457581e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1151826858520508e+01</treeThreshold>
-          <internalNodes>
-            1 2 1071 8.3500000000000000e+01 0 -1 1072
-            6.5000000000000000e+00 -2 -3 1073 32.</internalNodes>
-          <leafValues>
-            -6.9022941589355469e-01 1.6983160376548767e-01
-            -7.8779727220535278e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>3.1287761688232422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1074 4.2250000000000000e+02 0 -1 1075
-            1.6785000000000000e+03 -2 -3 1076 3.4085000000000000e+03</internalNodes>
-          <leafValues>
-            -2.1672263741493225e-01 7.0122992992401123e-01
-            -5.5317509174346924e-01 1.3593602180480957e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1590259552001953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1077 3.1150000000000000e+02 0 -1 1078
-            1.1500000000000000e+01 -2 -3 1079 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.2860367894172668e-01 3.0249705910682678e-01
-            8.6132842302322388e-01 -5.9583419561386108e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1790189743041992e+01</treeThreshold>
-          <internalNodes>
-            1 2 1080 9.3500000000000000e+01 0 -1 1081
-            8.5000000000000000e+00 -2 -3 1082 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5307538509368896e-01 1.9993139803409576e-01
-            5.2050822973251343e-01 -7.1924048662185669e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1949237823486328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1083 1.5000000000000000e+00 0 -1 1084
-            1.8500000000000000e+01 -2 -3 1085 4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7075895071029663e-01 4.1160404682159424e-01
-            -4.2329508066177368e-01 3.9578995108604431e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1551105499267578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1086 5.0000000000000000e-01 0 -1 1087
-            7.1500000000000000e+01 -2 -3 1088 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.7251659631729126e-01 -6.8467688560485840e-01
-            3.0512693524360657e-01 -3.9813303947448730e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1931394577026367e+01</treeThreshold>
-          <internalNodes>
-            1 2 1089 1.9150000000000000e+02 0 -1 1090
-            4.5000000000000000e+00 -2 -3 1091 7.6950000000000000e+02</internalNodes>
-          <leafValues>
-            1.9683115184307098e-01 -5.8899974822998047e-01
-            -6.5470945835113525e-01 3.8028964400291443e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2017967224121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1092 7.5000000000000000e+00 0 -1 1093
-            2.8500000000000000e+01 -2 -3 1094 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7054101228713989e-01 -5.6520724296569824e-01
-            -6.2938737869262695e-01 8.6574614048004150e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.2285461425781250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1095 5.8750000000000000e+02 0 -1 1096
-            5.0000000000000000e-01 -2 -3 1097 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0511577874422073e-01 -6.9365251064300537e-01
-            -6.4478015899658203e-01 2.6749077439308167e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2811119079589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1098 2.1500000000000000e+01 0 -1 1099
-            4.1500000000000000e+01 -2 -3 1100 559.</internalNodes>
-          <leafValues>
-            -2.0592536032199860e-01 3.7386643886566162e-01
-            7.8755700588226318e-01 -6.8481349945068359e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2689319610595703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1101 5.7550000000000000e+02 0 -1 1102
-            3.5000000000000000e+00 -2 -3 1103 9.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9178147912025452e-01 -1.2180019915103912e-01
-            -9.6077018976211548e-01 -1.4056563377380371e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2619079589843750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1104 2.5000000000000000e+00 0 -1 1105 43. -2 -3 1106
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9122837781906128e-01 4.5819079875946045e-01
-            5.5948436260223389e-01 -7.0240341126918793e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3039958953857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1107 2.3955000000000000e+03 0 -1 1108
-            1.2535000000000000e+03 -2 -3 1109 4.0405000000000000e+03</internalNodes>
-          <leafValues>
-            2.9499965906143188e-01 -2.6054748892784119e-01
-            9.8911577463150024e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.3041172027587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1110 2.0850000000000000e+02 0 -1 1111
-            2.7500000000000000e+01 -2 -3 1112 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.7137396335601807e-01 1.2141949264332652e-03
-            6.0118967294692993e-01 -2.0657041668891907e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2776119232177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1113 3.5000000000000000e+00 0 -1 1114
-            6.5000000000000000e+00 -2 -3 1115 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.2868818044662476e-01 5.7510751485824585e-01
-            -3.6484047770500183e-01 5.1262056827545166e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2935546875000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1116 5.0000000000000000e-01 0 -1 1117
-            2.5000000000000000e+00 -2 -3 1118 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.3760849237442017e-01 4.5924603939056396e-01
-            1.5942642092704773e-01 -4.6601155400276184e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2656055450439453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1119 3.3500000000000000e+01 0 -1 1120
-            3.4500000000000000e+01 -2 -3 1121 3.9150000000000000e+02</internalNodes>
-          <leafValues>
-            -2.7949050068855286e-01 3.4181603789329529e-01
-            7.1765547990798950e-01 -7.6309484243392944e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2747634887695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1122 2.5000000000000000e+00 0 -1 1123
-            2.5000000000000000e+00 -2 -3 1124 3.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4318218231201172e-01 5.3260874748229980e-01
-            -5.0913441181182861e-01 9.1580078005790710e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3188011169433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1125 5.6500000000000000e+01 0 -1 1126
-            3.2500000000000000e+01 -2 -3 1127 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4126682281494141e-01 4.9496468901634216e-01
-            -3.9145907759666443e-01 4.4037669897079468e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3416931152343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1128 7.0500000000000000e+01 0 -1 1129
-            1.1500000000000000e+01 -2 -3 1130 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.8201475143432617e-01 2.2891646623611450e-01
-            -8.5659736394882202e-01 6.1013686656951904e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3275886535644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1131 4.0500000000000000e+01 0 -1 1132
-            1.9500000000000000e+01 -2 -3 1133 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6871705055236816e-01 -6.3255614042282104e-01
-            2.3965831100940704e-01 -6.3516211509704590e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3399391174316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1134 5.5000000000000000e+00 0 -1 1135
-            8.5000000000000000e+00 -2 -3 1136 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6200548410415649e-01 1.5101595222949982e-01
-            -7.6606094837188721e-01 2.5947886705398560e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3559207916259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1137 6.5000000000000000e+00 0 -1 1138
-            8.2500000000000000e+01 -2 -3 1139 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6681274175643921e-01 -6.3294899463653564e-01
-            -5.5192285776138306e-01 2.3842744529247284e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3856239318847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1140 1.0500000000000000e+01 0 -1 1141
-            1.7350000000000000e+02 -2 -3 1142 2.7550000000000000e+02</internalNodes>
-          <leafValues>
-            2.9703170061111450e-01 -5.5057585239410400e-01
-            -6.4888852834701538e-01 1.1229314655065536e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3721168518066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1143 3.5000000000000000e+00 0 -1 1144 126. -2 -3 1145
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.2471975088119507e-01 -7.2330892086029053e-01
-            3.9742922782897949e-01 -1.3506934046745300e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4096935272216797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1146 2.3500000000000000e+01 0 -1 1147
-            1.9500000000000000e+01 -2 -3 1148 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5066823959350586e-01 3.2355815172195435e-01
-            3.7576669454574585e-01 -2.6415929198265076e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4108264923095703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1149 1.5000000000000000e+00 0 -1 1150
-            6.5000000000000000e+00 -2 -3 1151 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7412526607513428e-01 5.2388346195220947e-01
-            -4.9519532918930054e-01 1.9004400074481964e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3904502868652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1152 7.7250000000000000e+02 0 -1 1153 77. -2 -3 1154
-            4.8350000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9026130437850952e-01 8.2613104581832886e-01
-            6.4011102914810181e-01 -8.1689134240150452e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4277988433837891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1155 5.0000000000000000e-01 0 -1 1156
-            7.3150000000000000e+02 -2 -3 1157 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.5011767745018005e-01 -2.4998305737972260e-01
-            8.2632339000701904e-01 -4.2073485255241394e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4078739166259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1158 2.0950000000000000e+02 0 -1 1159
-            1.6755000000000000e+03 -2 -3 1160 6.1815000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7588048577308655e-01 9.5124208927154541e-01
-            6.4596521854400635e-01 -3.6611458659172058e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4438789367675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1161 1.5500000000000000e+01 0 -1 1162
-            2.1500000000000000e+01 -2 -3 1163 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0783519148826599e-01 3.6005032062530518e-01
-            4.5609518885612488e-01 -6.2639898061752319e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4638523101806641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1164 3.1500000000000000e+01 0 -1 1165
-            7.5000000000000000e+00 -2 -3 1166 3.2350000000000000e+02</internalNodes>
-          <leafValues>
-            -9.4682770967483521e-01 1.9973398745059967e-01
-            -6.2348783016204834e-01 6.9902861118316650e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4201782226562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1167 7.5000000000000000e+00 0 -1 1168
-            1.5000000000000000e+00 -2 -3 1169 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3168455958366394e-01 -4.3674397468566895e-01
-            -6.4757126569747925e-01 2.0459994673728943e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4516929626464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1170 1.6500000000000000e+01 0 -1 1171
-            5.0000000000000000e-01 -2 -3 1172 675.</internalNodes>
-          <leafValues>
-            2.3890937864780426e-01 -5.7110768556594849e-01
-            3.1514799594879150e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.4619071960449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1173 8.6500000000000000e+01 0 -1 1174
-            4.5000000000000000e+00 -2 -3 1175 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6261973381042480e-01 -8.6133646965026855e-01 -1.
-            1.0214501619338989e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4869640350341797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1176 5.0000000000000000e-01 0 -1 1177
-            1.2315000000000000e+03 -2 -3 1178 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.7597665190696716e-01 -6.9864195585250854e-01
-            2.0625047385692596e-01 -4.8068267107009888e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5086204528808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1179 1.6500000000000000e+01 0 -1 1180
-            8.3500000000000000e+01 -2 -3 1181 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.4784654974937439e-01 -8.3145272731781006e-01
-            -6.7620545625686646e-01 2.1656262874603271e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4877140045166016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1182 5.0000000000000000e-01 0 -1 1183
-            3.5000000000000000e+00 -2 -3 1184 969.</internalNodes>
-          <leafValues>
-            -6.4537084102630615e-01 2.7460998296737671e-01
-            -5.3607624769210815e-01 2.8266566991806030e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5179489135742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1185 1.5000000000000000e+00 0 -1 1186
-            7.2500000000000000e+01 -2 -3 1187 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            9.7988271713256836e-01 -5.9574514627456665e-01
-            -1.8132425844669342e-01 5.5573570728302002e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5144893646240234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1188 5.0000000000000000e-01 0 -1 1189
-            2.6500000000000000e+01 -2 -3 1190 8.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -4.2640584707260132e-01 5.2214205265045166e-01
-            8.3740442991256714e-01 -2.8797909617424011e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5558689117431641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1191 5.0000000000000000e-01 0 -1 1192
-            2.6500000000000000e+01 -2 -3 1193 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3793568015098572e-01 4.1379487514495850e-01
-            1.8940502405166626e-01 -5.4046261310577393e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5233970642089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1194 4.7500000000000000e+01 0 -1 1195
-            8.5000000000000000e+00 -2 -3 1196 338.</internalNodes>
-          <leafValues>
-            1.5260761976242065e-01 -4.2628118395805359e-01
-            5.9790462255477905e-01 -5.5013555288314819e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5332725524902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1197 5.0000000000000000e-01 0 -1 1198
-            3.6500000000000000e+01 -2 -3 1199 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2585823237895966e-02 6.3506704568862915e-01
-            -3.5257333517074585e-01 5.9659516811370850e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5257114410400391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1200 3.5000000000000000e+00 0 -1 1201
-            7.5000000000000000e+00 -2 -3 1202 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3612766265869141e-01 3.4692686796188354e-01
-            5.0016778707504272e-01 -7.5611986219882965e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.5595767974853516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1203 1.0500000000000000e+01 0 -1 1204
-            1.8500000000000000e+01 -2 -3 1205 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.5243799686431885e-01 7.0761454105377197e-01
-            3.3865371346473694e-01 -1.8447074294090271e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5873832702636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1206 1.6350000000000000e+02 0 -1 1207
-            9.1500000000000000e+01 -2 -3 1208 19.</internalNodes>
-          <leafValues>
-            -1.3119605183601379e-01 4.0907257795333862e-01
-            -8.4312802553176880e-01 9.1352003812789917e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6231769561767578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1209 4.5000000000000000e+00 0 -1 1210
-            1.5000000000000000e+00 -2 -3 1211 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.6025198698043823e-01 3.4153524041175842e-01
-            -5.0537836551666260e-01 3.5793614387512207e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6177539825439453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1212 1.5500000000000000e+01 0 -1 1213
-            4.5000000000000000e+00 -2 -3 1214 5.8650000000000000e+02</internalNodes>
-          <leafValues>
-            -3.4014788269996643e-01 3.7431231141090393e-01
-            -8.9153337478637695e-01 -8.3685964345932007e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.5921119689941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1215 5.0000000000000000e-01 0 -1 1216
-            8.5500000000000000e+01 -2 -3 1217 3.3350000000000000e+02</internalNodes>
-          <leafValues>
-            7.2648537158966064e-01 -8.4184181690216064e-01
-            -2.5641769170761108e-01 5.9225118160247803e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5762935638427734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1218 5.0695000000000000e+03 0 -1 1219
-            4.1865000000000000e+03 -2 -3 1220 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.5818408131599426e-01 7.5127458572387695e-01
-            -4.1771730780601501e-01 1.6759181022644043e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6343830108642578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1221 5.5000000000000000e+00 0 -1 1222 161. -2 -3 1223
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.1770183742046356e-02 -8.2580149173736572e-01
-            6.3310110569000244e-01 -1.1210992932319641e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6239753723144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1224 2.9500000000000000e+01 0 -1 1225
-            2.2500000000000000e+01 -2 -3 1226 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7685142755508423e-01 5.9265869855880737e-01
-            5.8708161115646362e-01 -1.0407686233520508e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6570693969726562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1227 2.6050000000000000e+02 0 -1 1228
-            5.1500000000000000e+01 -2 -3 1229 194.</internalNodes>
-          <leafValues>
-            -1.3848701119422913e-01 3.8530793786048889e-01
-            -9.9199587106704712e-01 7.3519229888916016e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6172859191894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1230 4.5000000000000000e+00 0 -1 1231 2985. -2 -3 1232
-            4.1050000000000000e+02</internalNodes>
-          <leafValues>
-            7.0713436603546143e-01 -7.4149054288864136e-01
-            -3.9783236384391785e-01 1.8219061195850372e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6474601745605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1233 7.2850000000000000e+02 0 -1 1234
-            1.0500000000000000e+01 -2 -3 1235 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5275667905807495e-01 3.0174070596694946e-01
-            5.2034640312194824e-01 -4.9349766969680786e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6498180389404297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1236 4.8500000000000000e+01 0 -1 1237
-            9.5000000000000000e+00 -2 -3 1238 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.8738486766815186e-01 -7.6111316680908203e-01
-            5.0128465890884399e-01 -1.1157950758934021e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6698276519775391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1239 2.8850000000000000e+02 0 -1 1240
-            2.0500000000000000e+01 -2 -3 1241 1.2805000000000000e+03</internalNodes>
-          <leafValues>
-            -4.7094190120697021e-01 2.0009694993495941e-01 1.
-            -9.3752562999725342e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6857143402099609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1242 3.5000000000000000e+00 0 -1 1243 2854. -2 -3 1244
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.4445955753326416e-01 -6.2877982854843140e-01
-            2.8415599465370178e-01 -4.0654498338699341e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6661224365234375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1245 6.3850000000000000e+02 0 -1 1246
-            1.3500000000000000e+01 -2 -3 1247 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8753396868705750e-01 4.5057922601699829e-01
-            -9.3399870395660400e-01 6.8900948762893677e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7027565002441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1248 1.1500000000000000e+01 0 -1 1249
-            3.5000000000000000e+00 -2 -3 1250 482.</internalNodes>
-          <leafValues>
-            -8.2890731096267700e-01 3.8032263517379761e-01
-            -6.3736891746520996e-01 2.2181304171681404e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.7302738189697266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1251 1.5000000000000000e+00 0 -1 1252
-            6.5000000000000000e+00 -2 -3 1253 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7263113260269165e-01 2.7517196536064148e-01
-            -6.8864667415618896e-01 -1.0606539435684681e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.7514694213867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1254 5.0000000000000000e-01 0 -1 1255
-            1.6555000000000000e+03 -2 -3 1256 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4653161764144897e-01 -3.8731038570404053e-01
-            -2.6684281229972839e-01 5.9316390752792358e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7565513610839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1257 5.7450000000000000e+02 0 -1 1258
-            2.9450000000000000e+02 -2 -3 1259 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9943376779556274e-01 1. 3.4340542554855347e-01
-            -2.2570419311523438e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7413349151611328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1260 189. 0 -1 1261 5.0000000000000000e-01 -2 -3 1262
-            2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            7.8168439865112305e-01 -8.3374607563018799e-01
-            -1.9817931950092316e-01 3.6079603433609009e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7554840087890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1263 298. 0 -1 1264 3022. -2 -3 1265
-            1.9350000000000000e+02</internalNodes>
-          <leafValues>
-            -1.1193416081368923e-02 8.7101829051971436e-01
-            2.1728983521461487e-01 -4.2951995134353638e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7603076934814453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1266 1.1500000000000000e+01 0 -1 1267
-            2.5000000000000000e+00 -2 -3 1268 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            1.7867322266101837e-01 -4.2928701639175415e-01
-            5.2659392356872559e-01 -6.2002837657928467e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7885494232177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1269 1.4500000000000000e+01 0 -1 1270
-            2.5000000000000000e+00 -2 -3 1271 8.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8106105923652649e-01 -7.7528846263885498e-01
-            -5.8309614658355713e-01 2.8241708874702454e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7499431610107422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1272 3.5500000000000000e+01 0 -1 1273
-            2.5000000000000000e+00 -2 -3 1274 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1437792778015137e-01 5.1539105176925659e-01
-            -3.8606551289558411e-01 3.3163914084434509e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7937980651855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1275 1.3500000000000000e+01 0 -1 1276
-            1.4500000000000000e+01 -2 -3 1277 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2145909070968628e-02 6.0647141933441162e-01
-            -6.2856364250183105e-01 8.6137987673282623e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8185783386230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1278 1.4500000000000000e+01 0 -1 1279 73. -2 -3 1280
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4152975082397461e-01 1. 2.4780233204364777e-01
-            -4.0907081961631775e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7849395751953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1281 5.0000000000000000e-01 0 -1 1282
-            4.5000000000000000e+00 -2 -3 1283 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.0824928283691406e-01 5.6237548589706421e-01
-            5.4402673244476318e-01 -3.3638605475425720e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8386943817138672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1284 2.0450000000000000e+02 0 -1 1285
-            6.7250000000000000e+02 -2 -3 1286 1.2385000000000000e+03</internalNodes>
-          <leafValues>
-            3.9266860485076904e-01 -3.8152101635932922e-01
-            5.9661215543746948e-01 -3.8554838299751282e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8467891693115234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1287 5.5000000000000000e+00 0 -1 1288
-            9.0500000000000000e+01 -2 -3 1289 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1883549168705940e-02 -6.2764549255371094e-01
-            7.0444834232330322e-01 -4.4701110571622849e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8550418853759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1290 2.8350000000000000e+02 0 -1 1291
-            1.4500000000000000e+01 -2 -3 1292 58.</internalNodes>
-          <leafValues>
-            -8.5395231842994690e-02 5.9592086076736450e-01
-            9.0824156999588013e-01 -8.9943450689315796e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8631130218505859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1293 2.5000000000000000e+00 0 -1 1294
-            9.5000000000000000e+00 -2 -3 1295 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6073815822601318e-01 5.3091663122177124e-01
-            1.6989825665950775e-01 -4.6344351768493652e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8474849700927734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1296 5.7750000000000000e+02 0 -1 1297
-            1.9250000000000000e+02 -2 -3 1298 2.6195000000000000e+03</internalNodes>
-          <leafValues>
-            -8.1247472763061523e-01 2.9322347044944763e-01
-            3.5261180996894836e-01 -2.4546836316585541e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8279983520507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1299 4.4500000000000000e+01 0 -1 1300 1096. -2 -3 1301
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            6.6110774874687195e-02 -7.6391810178756714e-01
-            5.6174814701080322e-01 -7.3350854218006134e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8626735687255859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1302 3.4350000000000000e+02 0 -1 1303
-            5.0000000000000000e-01 -2 -3 1304 7.1750000000000000e+02</internalNodes>
-          <leafValues>
-            3.5977458953857422e-01 -2.1690338850021362e-01
-            9.9256932735443115e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.8572544097900391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1305 1.1500000000000000e+01 0 -1 1306
-            1.2500000000000000e+01 -2 -3 1307 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.2809075117111206e-01 8.5182946920394897e-01
-            4.9062111973762512e-01 -5.4192960262298584e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.8948635101318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1308 4.2550000000000000e+02 0 -1 1309
-            7.6500000000000000e+01 -2 -3 1310 8986.</internalNodes>
-          <leafValues>
-            -4.5830437541007996e-01 1.6672098636627197e-01
-            7.7317571640014648e-01 -2.2485339641571045e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9342456817626953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1311 6.9500000000000000e+01 0 -1 1312
-            3.5500000000000000e+01 -2 -3 1313 1.0545000000000000e+03</internalNodes>
-          <leafValues>
-            -1.2714000418782234e-02 6.2372517585754395e-01
-            -5.7864826917648315e-01 5.6230723857879639e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9216064453125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1314 5.2750000000000000e+02 0 -1 1315
-            1.9048500000000000e+04 -2 -3 1316 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 7.7397161722183228e-01 1.6222594678401947e-01
-            -3.9657172560691833e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9446334838867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1317 3.5000000000000000e+00 0 -1 1318
-            6.3500000000000000e+01 -2 -3 1319 288.</internalNodes>
-          <leafValues>
-            3.8338693976402283e-01 -9.0452802181243896e-01
-            -5.4537796974182129e-01 2.3026967048645020e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9339183807373047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1320 1.1500000000000000e+01 0 -1 1321
-            5.0000000000000000e-01 -2 -3 1322 3472.</internalNodes>
-          <leafValues>
-            3.7719848752021790e-01 -2.7750793099403381e-01
-            -7.6843172311782837e-01 3.3132901880890131e-03</leafValues></_>
-        <_>
-          <treeThreshold>3.9513347625732422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1323 2.1500000000000000e+01 0 -1 1324
-            4.5000000000000000e+00 -2 -3 1325 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7416687309741974e-01 -4.6917149424552917e-01
-            5.5244189500808716e-01 -4.0332382917404175e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9441356658935547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1326 2.5500000000000000e+01 0 -1 1327
-            5.0000000000000000e-01 -2 -3 1328 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.5569829940795898e-01 -8.3738613128662109e-01
-            5.1308917999267578e-01 -9.2380218207836151e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.9830265045166016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1329 6.8500000000000000e+01 0 -1 1330
-            1.2500000000000000e+01 -2 -3 1331 2043.</internalNodes>
-          <leafValues>
-            -1.6650912165641785e-01 3.8890799880027771e-01
-            -8.0130118131637573e-01 8.2459330558776855e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9304054260253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1332 5.0000000000000000e-01 0 -1 1333 3671. -2 -3 1334
-            3.8850000000000000e+02</internalNodes>
-          <leafValues>
-            4.6532985568046570e-01 -4.4042190909385681e-01
-            -5.5587589740753174e-01 1.3195018470287323e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9642890930175781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1335 8.5000000000000000e+00 0 -1 1336
-            2.1500000000000000e+01 -2 -3 1337 4.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -5.9328550100326538e-01 3.3883699774742126e-01
-            -6.9553929567337036e-01 1.5794724225997925e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9908969879150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1338 5.5000000000000000e+00 0 -1 1339
-            1.3500000000000000e+01 -2 -3 1340 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7269146442413330e-01 2.6607844233512878e-01
-            6.0325987637042999e-02 -6.9073736667633057e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9898288726806641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1341 2.5950000000000000e+02 0 -1 1342
-            1.5500000000000000e+01 -2 -3 1343 1467.</internalNodes>
-          <leafValues>
-            -7.4252463877201080e-02 6.0873824357986450e-01
-            8.6466276645660400e-01 -9.0673094987869263e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0200969696044922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1344 2.2500000000000000e+01 0 -1 1345
-            2.5000000000000000e+00 -2 -3 1346 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.9203126430511475e-01 3.0267745256423950e-01
-            5.9105551242828369e-01 -5.3770178556442261e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0379238128662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1347 2.9500000000000000e+01 0 -1 1348
-            8.3450000000000000e+02 -2 -3 1349 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.7345203757286072e-01 -8.9355528354644775e-01
-            5.5846959352493286e-01 -5.8389563113451004e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.0466419219970703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1350 3.1150000000000000e+02 0 -1 1351
-            5.0000000000000000e-01 -2 -3 1352 43.</internalNodes>
-          <leafValues>
-            3.1653991341590881e-01 -4.0619984269142151e-01
-            -9.6266198158264160e-01 5.1727998256683350e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0718650817871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1353 2.6150000000000000e+02 0 -1 1354 98. -2 -3 1355
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2089494466781616e-01 2.5222977995872498e-01
-            -6.5091305971145630e-01 5.5701977014541626e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0246669769287109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1356 5.0000000000000000e-01 0 -1 1357
-            7.5000000000000000e+00 -2 -3 1358 2.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2299337387084961e-01 5.0567185878753662e-01
-            -4.7197958827018738e-01 2.6619127392768860e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0419990539550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1359 5.4705000000000000e+03 0 -1 1360
-            5.4750000000000000e+02 -2 -3 1361 1.5750000000000000e+02</internalNodes>
-          <leafValues>
-            1.7332153022289276e-01 -6.0361874103546143e-01
-            -9.6441686153411865e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.1056423187255859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1362 5.0000000000000000e-01 0 -1 1363
-            3.5000000000000000e+00 -2 -3 1364 7.8350000000000000e+02</internalNodes>
-          <leafValues>
-            6.3643354177474976e-01 -8.3072267472743988e-02
-            -3.8505536317825317e-01 5.1825720071792603e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0787433624267578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1365 8.5000000000000000e+00 0 -1 1366
-            4.1250000000000000e+02 -2 -3 1367 3.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -2.2618213668465614e-02 -7.3404783010482788e-01
-            5.4074966907501221e-01 -6.5069526433944702e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0980438232421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1368 1.0750000000000000e+02 0 -1 1369
-            4.5500000000000000e+01 -2 -3 1370 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9288902878761292e-01 -7.8175473213195801e-01
-            4.1299736499786377e-01 -2.0014704763889313e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0946659088134766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1371 2.2500000000000000e+01 0 -1 1372
-            1.6500000000000000e+01 -2 -3 1373 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.0043293237686157e-01 2.2489283978939056e-01
-            5.3942525386810303e-01 -1.2392763793468475e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0625984191894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1374 5.8450000000000000e+02 0 -1 1375 3981. -2 -3 1376
-            3.8850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.5919399261474609e-01 7.3984676599502563e-01
-            6.0902094841003418e-01 -5.9394266456365585e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.1078342437744141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1377 1.5000000000000000e+00 0 -1 1378
-            9.5000000000000000e+00 -2 -3 1379 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4205194711685181e-01 5.8499878644943237e-01
-            4.5235899090766907e-01 -1.7015253007411957e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1278953552246094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1380 2.7950000000000000e+02 0 -1 1381
-            2.7950000000000000e+02 -2 -3 1382 7572.</internalNodes>
-          <leafValues>
-            -1.0575494915246964e-01 7.5965499877929688e-01
-            -5.6243377923965454e-01 1.3653093576431274e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1171962738037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1383 5.5000000000000000e+00 0 -1 1384
-            8.6950000000000000e+02 -2 -3 1385 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1256729364395142e-01 -4.9650138616561890e-01
-            5.3703850507736206e-01 -1.0799391567707062e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1153244018554688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1386 1.5000000000000000e+00 0 -1 1387
-            8.5000000000000000e+00 -2 -3 1388 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.8950442969799042e-01 5.2447348833084106e-01
-            -4.3827834725379944e-01 3.5529047250747681e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1464454650878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1389 2.7500000000000000e+01 0 -1 1390
-            3.1500000000000000e+01 -2 -3 1391 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4287273883819580e-01 3.1121128797531128e-01
-            2.0723707973957062e-01 -7.9717916250228882e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1779788970947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1392 1.5000000000000000e+00 0 -1 1393
-            1.8265000000000000e+03 -2 -3 1394 2.8650000000000000e+02</internalNodes>
-          <leafValues>
-            8.0022591352462769e-01 -2.8835564851760864e-01
-            3.1533339619636536e-01 -3.5018000006675720e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2194210052490234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1395 2.2500000000000000e+01 0 -1 1396
-            2.2500000000000000e+01 -2 -3 1397 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.3232901096343994e-01 -7.3244142532348633e-01
-            3.6955040693283081e-01 -2.0323853194713593e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1935131072998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1398 9.4500000000000000e+01 0 -1 1399
-            4.0500000000000000e+01 -2 -3 1400 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9609075784683228e-01 -4.6288254857063293e-01
-            6.2146210670471191e-01 -3.8049280643463135e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2215938568115234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1401 2.9500000000000000e+01 0 -1 1402
-            5.0000000000000000e-01 -2 -3 1403 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9385579526424408e-02 -7.3405563831329346e-01
-            -5.1055783033370972e-01 2.8080457448959351e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2273452758789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1404 4.5450000000000000e+02 0 -1 1405
-            5.8750000000000000e+02 -2 -3 1406 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.3196282386779785e-01 2.5219461321830750e-01
-            7.2692161798477173e-01 -8.5374397039413452e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2540458679199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1407 1.5000000000000000e+00 0 -1 1408
-            1.0500000000000000e+01 -2 -3 1409 3.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1572650671005249e-01 2.6700666546821594e-01
-            5.4633575677871704e-01 -6.4842927455902100e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2285171508789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1410 4.5000000000000000e+00 0 -1 1411
-            4.8500000000000000e+01 -2 -3 1412 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3229374289512634e-01 5.2580875158309937e-01
-            -3.8174706697463989e-01 6.1482822895050049e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2519309997558594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1413 1.2500000000000000e+01 0 -1 1414
-            7.5000000000000000e+00 -2 -3 1415 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.5897458791732788e-01 2.3413842916488647e-01
-            -6.6297173500061035e-01 9.3680036067962646e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2602912902832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1416 2.7850000000000000e+02 0 -1 1417
-            6.7750000000000000e+02 -2 -3 1418 6.5750000000000000e+02</internalNodes>
-          <leafValues>
-            -5.7975625991821289e-01 6.0615879297256470e-01
-            -4.7606697678565979e-01 1.9234745204448700e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2477813720703125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1419 3.5000000000000000e+00 0 -1 1420
-            5.0000000000000000e-01 -2 -3 1421 9.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 5.3890687227249146e-01 -2.7986538410186768e-01
-            5.5624389648437500e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2815971374511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1422 2.5000000000000000e+00 0 -1 1423 3470. -2 -3 1424
-            1.3150000000000000e+02</internalNodes>
-          <leafValues>
-            3.3815622329711914e-01 -6.8323451280593872e-01
-            -5.7661479711532593e-01 1.8929332494735718e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2939407348632812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1425 1835. 0 -1 1426 1485. -2 -3 1427
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.3249452114105225e-01 8.5018444061279297e-01
-            1.2343621253967285e-01 -4.1629931330680847e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2931537628173828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1428 6.5000000000000000e+00 0 -1 1429
-            9.5000000000000000e+00 -2 -3 1430 8.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8253604173660278e-01 2.3116320371627808e-01
-            4.4566446542739868e-01 -2.5381112098693848e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2532341003417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1431 801. 0 -1 1432 1.4500000000000000e+01 -2 -3 1433
-            2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3233406245708466e-01 -8.8682103157043457e-01
-            2.7638220787048340e-01 -3.9919924736022949e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2818271636962891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1434 3.3500000000000000e+01 0 -1 1435
-            5.0000000000000000e-01 -2 -3 1436 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.6199400424957275e-01 -7.7381122112274170e-01
-            3.9374157786369324e-01 -1.9156071543693542e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3225166320800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1437 3.0650000000000000e+02 0 -1 1438
-            3.5000000000000000e+00 -2 -3 1439 2.2750000000000000e+02</internalNodes>
-          <leafValues>
-            1.6485489904880524e-01 -5.3608208894729614e-01
-            4.0689289569854736e-01 -6.9017094373703003e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3414455413818359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1440 4.9500000000000000e+01 0 -1 1441
-            3.2550000000000000e+02 -2 -3 1442 7.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2704082727432251e-01 9.2259776592254639e-01
-            1.8928927183151245e-01 -7.1190369129180908e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3530220031738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1443 8.5000000000000000e+00 0 -1 1444
-            5.5000000000000000e+00 -2 -3 1445 33.</internalNodes>
-          <leafValues>
-            -2.6097178459167480e-01 3.5981386899948120e-01
-            5.5373930931091309e-01 -5.9446001052856445e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3589599609375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1446 1.7500000000000000e+01 0 -1 1447
-            1.5000000000000000e+00 -2 -3 1448 7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9150971174240112e-01 4.0421536564826965e-01
-            -5.9817147254943848e-01 1.3356564939022064e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3756496429443359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1449 2.7150000000000000e+02 0 -1 1450
-            3.1500000000000000e+01 -2 -3 1451 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5597035884857178e-01 7.5368809700012207e-01
-            2.0741133391857147e-01 -3.4641715884208679e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4184627532958984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1452 3.4445000000000000e+03 0 -1 1453
-            1.3500000000000000e+01 -2 -3 1454 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4672267735004425e-02 6.4763146638870239e-01
-            -5.8406358957290649e-01 9.5271444320678711e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4115615844726562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1455 351. 0 -1 1456 5.5000000000000000e+00 -2 -3 1457
-            1.3150000000000000e+02</internalNodes>
-          <leafValues>
-            1. -9.0385907888412476e-01 5.6236469745635986e-01
-            -6.9008864462375641e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.3778049468994141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1458 2.1950000000000000e+02 0 -1 1459
-            1.7500000000000000e+01 -2 -3 1460 1446.</internalNodes>
-          <leafValues>
-            1.1805868148803711e-01 -4.6155539155006409e-01
-            8.1571227312088013e-01 -4.5998147130012512e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3705924987792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1461 5.4500000000000000e+01 0 -1 1462
-            5.0000000000000000e-01 -2 -3 1463 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5270361304283142e-01 -7.6259005069732666e-01
-            -4.3407937884330750e-01 3.2683727145195007e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3761566162109375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1464 1.5000000000000000e+00 0 -1 1465
-            2.5000000000000000e+00 -2 -3 1466 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.2883574962615967e-01 4.9130806326866150e-01
-            7.2157061100006104e-01 -3.4332326054573059e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4159553527832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1467 1.8850000000000000e+02 0 -1 1468
-            4.4500000000000000e+01 -2 -3 1469 1.6865000000000000e+03</internalNodes>
-          <leafValues>
-            -1.2656107544898987e-01 3.9798957109451294e-01
-            -8.5940158367156982e-01 7.5859928131103516e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4086994171142578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1470 3.5000000000000000e+00 0 -1 1471
-            1.6500000000000000e+01 -2 -3 1472 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1025812625885010e-01 3.1149634718894958e-01
-            4.1715073585510254e-01 -5.0822889804840088e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4548297882080078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1473 5.0000000000000000e-01 0 -1 1474
-            6.3500000000000000e+01 -2 -3 1475 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9292996823787689e-01 5.2084052562713623e-01
-            -1.8266052007675171e-02 -7.4490708112716675e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4444839477539062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1476 5.5000000000000000e+00 0 -1 1477
-            1.8500000000000000e+01 -2 -3 1478 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.8617092669010162e-02 5.7820588350296021e-01
-            -4.1243070363998413e-01 6.0866367816925049e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4468860626220703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1479 4.5000000000000000e+00 0 -1 1480
-            2.3450000000000000e+02 -2 -3 1481 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8463301062583923e-01 -8.2563692331314087e-01
-            -5.8707511425018311e-01 2.5017964839935303e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4571441650390625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1482 3.3450000000000000e+02 0 -1 1483
-            2.1500000000000000e+01 -2 -3 1484 946.</internalNodes>
-          <leafValues>
-            -4.3612629175186157e-01 1.0257755219936371e-01
-            9.7813111543655396e-01 -8.0724465847015381e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4642127990722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1485 1.5000000000000000e+00 0 -1 1486
-            8.5000000000000000e+00 -2 -3 1487 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3800437450408936e-01 6.0421532392501831e-01
-            -6.4370167255401611e-01 2.7616502717137337e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4928077697753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1488 5.0000000000000000e-01 0 -1 1489
-            2.6500000000000000e+01 -2 -3 1490 7.9250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.6210180521011353e-02 6.4315652847290039e-01
-            6.9847983121871948e-01 -3.6571246385574341e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4592266082763672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1491 5.0000000000000000e-01 0 -1 1492
-            5.5350000000000000e+02 -2 -3 1493 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.8149592280387878e-01 6.3860899209976196e-01
-            3.4885448217391968e-01 -3.3581241965293884e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4829784393310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1494 1.5500000000000000e+01 0 -1 1495
-            2.7850000000000000e+02 -2 -3 1496 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.8045026063919067e-01 -8.0610173940658569e-01
-            -5.2162581682205200e-01 2.3751950263977051e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5090461730957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1497 2.3500000000000000e+01 0 -1 1498
-            5.5000000000000000e+00 -2 -3 1499 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3596580922603607e-01 4.8954018950462341e-01
-            -5.6967926025390625e-01 3.6096325516700745e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5232925415039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1500 2154. 0 -1 1501 2.7550000000000000e+02 -2 -3 1502
-            128.</internalNodes>
-          <leafValues>
-            1.4246465265750885e-01 -8.8002961874008179e-01 1.
-            -9.7181195020675659e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5529132843017578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1503 5.8750000000000000e+02 0 -1 1504 3981. -2 -3 1505
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.8577227592468262e-01 5.8029693365097046e-01
-            4.0880706906318665e-01 -2.0956511795520782e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5304393768310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1506 1.6785000000000000e+03 0 -1 1507
-            4.2005000000000000e+03 -2 -3 1508 359.</internalNodes>
-          <leafValues>
-            2.9394268989562988e-02 8.0651479959487915e-01
-            -3.3733904361724854e-01 6.9124865531921387e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5737625122070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1509 2.7500000000000000e+01 0 -1 1510
-            5.0000000000000000e-01 -2 -3 1511 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7190417051315308e-01 -6.8398970365524292e-01
-            5.1673895120620728e-01 -5.9552457183599472e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5805149078369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1512 5.6550000000000000e+02 0 -1 1513
-            1.1500000000000000e+01 -2 -3 1514 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3953158855438232e-01 4.1888201236724854e-01
-            -7.7625131607055664e-01 -1.5986794605851173e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5724216461181641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1515 1.0500000000000000e+01 0 -1 1516
-            5.5000000000000000e+00 -2 -3 1517 25.</internalNodes>
-          <leafValues>
-            4.2757162451744080e-01 -2.2005110979080200e-01
-            -5.4273819923400879e-01 8.9083051681518555e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5885368347167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1518 238. 0 -1 1519 9.5000000000000000e+00 -2 -3 1520
-            2.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -9.5597231388092041e-01 5.2587646245956421e-01
-            1.6115142405033112e-01 -7.6278209686279297e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5789482116699219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1521 2.9500000000000000e+01 0 -1 1522
-            2.6500000000000000e+01 -2 -3 1523 1.5450000000000000e+02</internalNodes>
-          <leafValues>
-            1.6601219773292542e-01 -7.7067446708679199e-01
-            -6.6907399892807007e-01 2.2051426768302917e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5806617736816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1524 4.5000000000000000e+00 0 -1 1525
-            1.1500000000000000e+01 -2 -3 1526 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7005125284194946e-01 2.7322229743003845e-01
-            7.9801094532012939e-01 -5.2006053924560547e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6323131561279297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1527 1.3500000000000000e+01 0 -1 1528
-            3.4500000000000000e+01 -2 -3 1529 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5972643196582794e-02 5.1800715923309326e-01
-            3.3099360764026642e-02 -9.6488022804260254e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6282222747802734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1530 7.7250000000000000e+02 0 -1 1531
-            1.3500000000000000e+01 -2 -3 1532 1.1545000000000000e+03</internalNodes>
-          <leafValues>
-            -1.0771922767162323e-02 -8.7211072444915771e-01
-            7.0063769817352295e-01 -4.2402658611536026e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6205421447753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1533 1.5000000000000000e+00 0 -1 1534
-            1.1500000000000000e+01 -2 -3 1535 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.8480374813079834e-01 4.9849182367324829e-01
-            2.8026169538497925e-01 -3.8838988542556763e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6704681396484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1536 2.5650000000000000e+02 0 -1 1537
-            9.5000000000000000e+00 -2 -3 1538 3.6145000000000000e+03</internalNodes>
-          <leafValues>
-            8.8258177042007446e-01 -1. -6.1924713850021362e-01
-            6.9299057126045227e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6858192443847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1539 1.6500000000000000e+01 0 -1 1540
-            2.1950000000000000e+02 -2 -3 1541 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.5154920816421509e-01 -7.6912820339202881e-01
-            4.3404066562652588e-01 -1.0876829922199249e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6701599121093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1542 3.5000000000000000e+00 0 -1 1543
-            4.1500000000000000e+01 -2 -3 1544 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.0593466758728027e-01 6.3903629779815674e-01
-            4.0837219357490540e-01 -1.5659359097480774e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6904064178466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1545 2.9500000000000000e+01 0 -1 1546
-            1.5000000000000000e+00 -2 -3 1547 219.</internalNodes>
-          <leafValues>
-            -4.2634201049804688e-01 2.0246233046054840e-01
-            -8.5641664266586304e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.6656322479248047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1548 6.5000000000000000e+00 0 -1 1549
-            3.2500000000000000e+01 -2 -3 1550 4.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4700936675071716e-01 6.6941606998443604e-01
-            3.2602754235267639e-01 -3.6878246068954468e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6564968109130859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1551 1.2450000000000000e+02 0 -1 1552
-            5.5000000000000000e+00 -2 -3 1553 2.4150000000000000e+02</internalNodes>
-          <leafValues>
-            4.5446833968162537e-01 -3.7261262536048889e-01
-            4.6772354841232300e-01 -7.1237772703170776e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6805198669433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1554 4.5000000000000000e+00 0 -1 1555
-            7.3500000000000000e+01 -2 -3 1556 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4023169279098511e-01 -4.3494370579719543e-01
-            -8.5679495334625244e-01 5.3150933980941772e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6938976287841797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1557 2.0850000000000000e+02 0 -1 1558
-            1.5000000000000000e+00 -2 -3 1559 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.3377590477466583e-01 -4.7894757986068726e-01
-            -7.4763888120651245e-01 4.7673630714416504e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7246456146240234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1560 2.5000000000000000e+00 0 -1 1561 6. -2 -3 1562
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0447050333023071e-01 8.6583727598190308e-01
-            3.0747944116592407e-01 -2.1712197363376617e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7012886047363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1563 1.0500000000000000e+01 0 -1 1564
-            2.5000000000000000e+00 -2 -3 1565 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6812806129455566e-01 7.4207389354705811e-01
-            -4.6920669078826904e-01 2.0873917639255524e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7398384094238281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1566 5.0000000000000000e-01 0 -1 1567
-            4.1500000000000000e+01 -2 -3 1568 1.2365000000000000e+03</internalNodes>
-          <leafValues>
-            -2.2475609183311462e-01 5.0746756792068481e-01
-            -5.6809660047292709e-02 -7.4659413099288940e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7630195617675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1569 7.5000000000000000e+00 0 -1 1570
-            4.5500000000000000e+01 -2 -3 1571 27.</internalNodes>
-          <leafValues>
-            2.3181208968162537e-01 -6.4988273382186890e-01
-            -6.4328664541244507e-01 6.1851358413696289e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7380603790283203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1572 5.5000000000000000e+00 0 -1 1573
-            2.5000000000000000e+00 -2 -3 1574 1.8650000000000000e+02</internalNodes>
-          <leafValues>
-            6.1403033323585987e-03 -5.5332463979721069e-01
-            4.5167797803878784e-01 -7.4148744344711304e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7716838836669922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1575 5.0500000000000000e+01 0 -1 1576 340. -2 -3 1577
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3912079930305481e-01 -7.3454135656356812e-01
-            6.4382767677307129e-01 -1.5953628346323967e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.7556518554687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1578 8.4500000000000000e+01 0 -1 1579 311. -2 -3 1580
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            8.0123282968997955e-02 -7.0855069160461426e-01
-            4.7582688927650452e-01 -1.6031953692436218e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7572052001953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1581 4.1250000000000000e+02 0 -1 1582
-            2.5000000000000000e+00 -2 -3 1583 1.0405000000000000e+03</internalNodes>
-          <leafValues>
-            5.3272254765033722e-02 -6.1080712080001831e-01
-            5.7476472854614258e-01 -3.3661961555480957e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7565738677978516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1584 8.1450000000000000e+02 0 -1 1585
-            5.7750000000000000e+02 -2 -3 1586 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.0671536922454834e-01 -4.1966786980628967e-01
-            1.6598591208457947e-01 -3.8562926650047302e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7773296356201172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1587 1.5000000000000000e+00 0 -1 1588 1174. -2 -3 1589
-            3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -9.7881591320037842e-01 2.0755772292613983e-01
-            -5.1666331291198730e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8310127258300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1590 1.9500000000000000e+01 0 -1 1591
-            5.0000000000000000e-01 -2 -3 1592 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.0349156856536865e-01 -7.1407133340835571e-01
-            5.4187601804733276e-01 -9.5178633928298950e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8071701049804688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1593 801. 0 -1 1594 8.5000000000000000e+00 -2 -3 1595
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.3842808604240417e-01 4.0528839826583862e-01
-            8.4955078363418579e-01 -9.1280186176300049e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8208892822265625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1596 6.5000000000000000e+00 0 -1 1597
-            4.1500000000000000e+01 -2 -3 1598 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3895512819290161e-01 3.3225542306900024e-01
-            -5.6959801912307739e-01 1.9758279621601105e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8468334197998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1599 644. 0 -1 1600 3.1500000000000000e+01 -2 -3 1601
-            2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6466782689094543e-01 -7.2437942028045654e-01
-            2.5944426655769348e-01 -5.1669490337371826e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8280807495117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1602 5.8750000000000000e+02 0 -1 1603 998. -2 -3 1604
-            1.9450000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6361049413681030e-01 8.2740515470504761e-01
-            7.3864108324050903e-01 -3.1339693814516068e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8574962615966797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1605 2.3450000000000000e+02 0 -1 1606
-            1.5000000000000000e+00 -2 -3 1607 1.4050000000000000e+02</internalNodes>
-          <leafValues>
-            3.6085158586502075e-01 -1.9539615511894226e-01
-            -9.4802927970886230e-01 2.6839014887809753e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8454341888427734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1608 3.9500000000000000e+01 0 -1 1609
-            5.0000000000000000e-01 -2 -3 1610 1.6650000000000000e+02</internalNodes>
-          <leafValues>
-            1.0862217843532562e-01 -5.7014846801757812e-01
-            3.1803789734840393e-01 -8.6990028619766235e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8686836242675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1611 7.5000000000000000e+00 0 -1 1612
-            4.4500000000000000e+01 -2 -3 1613 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.4552764296531677e-01 -9.6768623590469360e-01
-            3.7845483422279358e-01 -2.0616437494754791e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8645317077636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1614 2.1500000000000000e+01 0 -1 1615
-            5.7500000000000000e+01 -2 -3 1616 9.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0209166407585144e-01 -3.7205338478088379e-01
-            6.6951900720596313e-01 -9.7072052955627441e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8846817016601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1617 1.8500000000000000e+01 0 -1 1618
-            1.9500000000000000e+01 -2 -3 1619 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.0423774719238281e-01 4.2085230350494385e-01
-            2.0150278508663177e-01 -6.7301428318023682e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8628437042236328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1620 291. 0 -1 1621 6.5000000000000000e+00 -2 -3 1622
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5333371758460999e-01 -9.6325629949569702e-01
-            -6.0980123281478882e-01 1.4127761125564575e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8402679443359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1623 2.1050000000000000e+02 0 -1 1624
-            6.5000000000000000e+00 -2 -3 1625 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4403830766677856e-02 -5.8541810512542725e-01
-            -6.9637399911880493e-01 4.9845540523529053e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8841716766357422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1626 7.5000000000000000e+00 0 -1 1627
-            4.9500000000000000e+01 -2 -3 1628 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3903854489326477e-01 -6.2086170911788940e-01
-            -6.5002232789993286e-01 -1.5730377286672592e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.9389339447021484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1629 80. 0 -1 1630 3.5000000000000000e+00 -2 -3 1631
-            1.0255000000000000e+03</internalNodes>
-          <leafValues>
-            3.1859183311462402e-01 -4.2584937810897827e-01
-            -8.9118802547454834e-01 5.4762154817581177e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8809658050537109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1632 5.0000000000000000e-01 0 -1 1633
-            9.1500000000000000e+01 -2 -3 1634 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0882329344749451e-01 5.9099739789962769e-01
-            3.5995401442050934e-02 -5.7967907190322876e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9262874603271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1635 2.3500000000000000e+01 0 -1 1636 2138. -2 -3 1637
-            7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5881242752075195e-01 -6.5358424186706543e-01
-            -4.4690254330635071e-01 4.5321631431579590e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9810745239257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1638 2.8905000000000000e+03 0 -1 1639
-            1.4034500000000000e+04 -2 -3 1640 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.9278053045272827e-01 -9.4314843416213989e-01
-            3.9468899369239807e-01 -2.7942237257957458e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9740810394287109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1641 5.0000000000000000e-01 0 -1 1642 13. -2 -3 1643
-            6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7298115491867065e-01 7.5200670957565308e-01
-            1.9612585008144379e-01 -5.2234607934951782e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9890090942382812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1644 7.5000000000000000e+00 0 -1 1645
-            8.5000000000000000e+00 -2 -3 1646 381.</internalNodes>
-          <leafValues>
-            -5.6059420108795166e-01 5.0415074825286865e-01
-            4.8369589447975159e-01 -3.1803038716316223e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9964401245117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1647 5.0000000000000000e-01 0 -1 1648
-            6.5000000000000000e+00 -2 -3 1649 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7737157344818115e-01 5.3311198949813843e-01
-            -4.1340222954750061e-01 2.4446828663349152e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0132915496826172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1650 1.0500000000000000e+01 0 -1 1651
-            9.5000000000000000e+00 -2 -3 1652 182.</internalNodes>
-          <leafValues>
-            -2.6112908124923706e-01 4.9358665943145752e-01
-            6.2064582109451294e-01 -4.5646050572395325e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0014610290527344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1653 6.5000000000000000e+00 0 -1 1654 2329. -2 -3 1655
-            6.6350000000000000e+02</internalNodes>
-          <leafValues>
-            4.0677326917648315e-01 -7.2954016923904419e-01
-            -5.2711308002471924e-01 2.2369565069675446e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0282009124755859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1656 1513. 0 -1 1657 6.6500000000000000e+01 -2 -3 1658
-            2.0125000000000000e+03</internalNodes>
-          <leafValues>
-            -9.2653149366378784e-01 5.6927061080932617e-01
-            6.3748288154602051e-01 -6.0769841074943542e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0116958618164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1659 1.4500000000000000e+01 0 -1 1660
-            3.5000000000000000e+00 -2 -3 1661 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6243766546249390e-01 8.8660824298858643e-01
-            4.5358371734619141e-01 -1.6504985094070435e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0264678955078125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1662 1.1500000000000000e+01 0 -1 1663
-            4.5000000000000000e+00 -2 -3 1664 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9545702934265137e-01 1. 2.3749004304409027e-01
-            -4.1009184718132019e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0537300109863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1665 6.5000000000000000e+00 0 -1 1666
-            1.1500000000000000e+01 -2 -3 1667 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8909458816051483e-01 -6.9768869876861572e-01
-            -3.7118515372276306e-01 2.7262043952941895e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0127769470214844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1668 2.5000000000000000e+00 0 -1 1669 49. -2 -3 1670
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0132219791412354e-01 4.8064956068992615e-01
-            2.1170513331890106e-01 -4.0953138470649719e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0477714538574219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1671 2.5000000000000000e+00 0 -1 1672
-            1.5650000000000000e+02 -2 -3 1673 1.1995000000000000e+03</internalNodes>
-          <leafValues>
-            3.4994655847549438e-01 -7.3900407552719116e-01
-            -6.3774943351745605e-01 -4.0900995954871178e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.0603004455566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1674 2.7950000000000000e+02 0 -1 1675 8514. -2 -3 1676
-            4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            9.1369850561022758e-03 8.2339012622833252e-01
-            -5.2016735076904297e-01 1.2528854608535767e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0545921325683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1677 3.5000000000000000e+00 0 -1 1678
-            3.9500000000000000e+01 -2 -3 1679 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.4933063089847565e-01 4.4103890657424927e-01
-            -5.4845666885375977e-01 3.5070386528968811e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0866680145263672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1680 5.1950000000000000e+02 0 -1 1681
-            1.2150000000000000e+02 -2 -3 1682 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.7503215372562408e-01 3.2076016068458557e-01
-            5.0803476572036743e-01 -9.5718288421630859e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0898628234863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1683 5.0000000000000000e-01 0 -1 1684
-            6.5000000000000000e+00 -2 -3 1685 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3207756280899048e-01 7.2688364982604980e-01
-            8.6272723972797394e-02 -4.6617463231086731e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0805313110351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1686 5.7750000000000000e+02 0 -1 1687
-            6.5000000000000000e+00 -2 -3 1688 1.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3755981922149658e-01 5.7054156064987183e-01
-            4.9337804317474365e-01 -9.3315914273262024e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0919166564941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1689 1.5095000000000000e+03 0 -1 1690
-            7.5000000000000000e+00 -2 -3 1691 6720.</internalNodes>
-          <leafValues>
-            2.1196880936622620e-01 -3.8356184959411621e-01
-            5.3207170963287354e-01 -7.4764668941497803e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0936717987060547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1692 4.0500000000000000e+01 0 -1 1693
-            1.5000000000000000e+00 -2 -3 1694 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.7224005907773972e-02 -8.9793884754180908e-01
-            7.6496970653533936e-01 1.7551671713590622e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1368896484375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1695 2.5550000000000000e+02 0 -1 1696 1484. -2 -3 1697
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 9.0734022855758667e-01 -2.2103266417980194e-01
-            4.3218004703521729e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1568653106689453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1698 8.1615000000000000e+03 0 -1 1699
-            5.0000000000000000e-01 -2 -3 1700 28.</internalNodes>
-          <leafValues>
-            -9.8341357707977295e-01 1.9975320994853973e-01
-            -1.2860924005508423e-01 -9.3606525659561157e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1350795745849609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1701 5.0000000000000000e-01 0 -1 1702
-            1.8500000000000000e+01 -2 -3 1703 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.4128049612045288e-01 3.7650343775749207e-01
-            3.4844925999641418e-01 -4.2916879057884216e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1636371612548828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1704 3.5000000000000000e+00 0 -1 1705 32. -2 -3 1706
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.1778641939163208e-01 -3.0592209100723267e-01
-            2.8557664155960083e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2074638366699219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1707 4.5000000000000000e+00 0 -1 1708
-            2.5500000000000000e+01 -2 -3 1709 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.7822149395942688e-01 4.3826532363891602e-01
-            -5.1980108022689819e-01 4.8558112978935242e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1970214843750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1710 5.9500000000000000e+01 0 -1 1711
-            1.0500000000000000e+01 -2 -3 1712 544.</internalNodes>
-          <leafValues>
-            3.5063171386718750e-01 -3.3192864060401917e-01
-            -6.3897025585174561e-01 2.3550751805305481e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2024555206298828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1713 4.5000000000000000e+00 0 -1 1714
-            1.3950000000000000e+02 -2 -3 1715 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.8414461016654968e-01 -5.8255207538604736e-01
-            -6.8949204683303833e-01 3.0280160903930664e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1652011871337891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1716 1.5000000000000000e+00 0 -1 1717
-            1.0500000000000000e+01 -2 -3 1718 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.4423668384552002e-01 7.1819794178009033e-01
-            1.2163987010717392e-01 -4.3241024017333984e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2231746673583984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1719 2.1550000000000000e+02 0 -1 1720
-            5.0000000000000000e-01 -2 -3 1721 1966.</internalNodes>
-          <leafValues>
-            1.3263493776321411e-01 -4.2725384235382080e-01
-            8.6758172512054443e-01 -2.6626121997833252e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2511852264404297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1722 5.3450000000000000e+02 0 -1 1723
-            1.1500000000000000e+01 -2 -3 1724 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.5023856759071350e-01 -8.6206442117691040e-01
-            -4.7992885112762451e-01 2.8010553121566772e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2546646118164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1725 1.2500000000000000e+01 0 -1 1726
-            3.2500000000000000e+01 -2 -3 1727 5.8895000000000000e+03</internalNodes>
-          <leafValues>
-            -1.0283301770687103e-01 5.0622606277465820e-01
-            3.4796718508005142e-02 -7.5529223680496216e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2223571777343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1728 5.0000000000000000e-01 0 -1 1729
-            5.8550000000000000e+02 -2 -3 1730 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2307562232017517e-01 4.2715775966644287e-01
-            5.5647647380828857e-01 -4.0453824400901794e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2863487243652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1731 3.3595000000000000e+03 0 -1 1732
-            1.6685000000000000e+03 -2 -3 1733 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1682216823101044e-01 7.5274443626403809e-01
-            -3.0044618248939514e-01 7.6707494258880615e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3050804138183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1734 1.5000000000000000e+00 0 -1 1735
-            1.5500000000000000e+01 -2 -3 1736 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9346052408218384e-01 -9.0690630674362183e-01
-            -9.2264664173126221e-01 1.8731895089149475e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3262607574462891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1737 5.0000000000000000e-01 0 -1 1738
-            3.5000000000000000e+00 -2 -3 1739 3.3550000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2821202278137207e-01 5.9129446744918823e-01
-            -5.1578968763351440e-01 9.9953614175319672e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.3258419036865234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1740 1.9500000000000000e+01 0 -1 1741
-            1.2500000000000000e+01 -2 -3 1742 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.8119539618492126e-01 -1.9959560036659241e-01
-            6.4132863283157349e-01 -7.4302184581756592e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3413326263427734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1743 7.6500000000000000e+01 0 -1 1744
-            5.8750000000000000e+02 -2 -3 1745 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.1226209402084351e-01 1.5490560233592987e-01
-            -9.5072907209396362e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.3368370056152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1746 1.4355000000000000e+03 0 -1 1747
-            2.5293500000000000e+04 -2 -3 1748 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4957466423511505e-02 7.0797920227050781e-01
-            2.4098557233810425e-01 -5.3875494003295898e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3336959838867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1749 2.5500000000000000e+01 0 -1 1750
-            2.0500000000000000e+01 -2 -3 1751 2.7375000000000000e+03</internalNodes>
-          <leafValues>
-            -7.6909404993057251e-01 -4.0910251438617706e-02
-            -8.7062567472457886e-02 6.8476140499114990e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3268756866455078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1752 3.7500000000000000e+01 0 -1 1753 2449. -2 -3 1754
-            3.4085000000000000e+03</internalNodes>
-          <leafValues>
-            2.9082170128822327e-01 -3.9411529898643494e-01
-            6.2446767091751099e-01 -7.7681422233581543e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3295890808105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1755 1.5500000000000000e+01 0 -1 1756
-            1.5000000000000000e+00 -2 -3 1757 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3223483562469482e-01 -3.3189105987548828e-01
-            8.2484543323516846e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.3821460723876953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1758 7.5000000000000000e+00 0 -1 1759 32. -2 -3 1760
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.7407427132129669e-02 -9.0338480472564697e-01
-            5.2557128667831421e-01 -8.5458166897296906e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.3644256591796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1761 2.3500000000000000e+01 0 -1 1762
-            1.7500000000000000e+01 -2 -3 1763 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9049738347530365e-01 -6.4127218723297119e-01
-            -5.8284378051757812e-01 3.6358082294464111e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3565219879150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1764 5.0000000000000000e-01 0 -1 1765
-            5.5000000000000000e+00 -2 -3 1766 6.2650000000000000e+02</internalNodes>
-          <leafValues>
-            -9.1313230991363525e-01 3.1892377138137817e-01
-            -5.0848573446273804e-01 4.0014332532882690e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3612766265869141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1767 2.7500000000000000e+01 0 -1 1768
-            1.1850000000000000e+02 -2 -3 1769 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1785164475440979e-01 4.6228489279747009e-01
-            8.3617496490478516e-01 -7.2740668058395386e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3733577728271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1770 1.3500000000000000e+01 0 -1 1771
-            6.5000000000000000e+00 -2 -3 1772 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3037781119346619e-01 4.0931895375251770e-01
-            -8.7283575534820557e-01 -1.1174897849559784e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3474098205566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1773 2.2500000000000000e+01 0 -1 1774
-            1.5000000000000000e+00 -2 -3 1775 6.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9783071875572205e-01 3.2450476288795471e-01
-            -5.4798841476440430e-01 4.3143227696418762e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3782051086425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1776 7.5000000000000000e+00 0 -1 1777
-            7.5000000000000000e+00 -2 -3 1778 5.8850000000000000e+02</internalNodes>
-          <leafValues>
-            3.0795454978942871e-01 -4.3086576461791992e-01
-            2.5671597104519606e-03 -7.0709168910980225e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4081798553466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1779 4.1250000000000000e+02 0 -1 1780 2532. -2 -3 1781
-            4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1845014244318008e-01 -4.8000225424766541e-01
-            -7.1575754880905151e-01 4.8367628455162048e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3729518890380859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1782 4.5000000000000000e+00 0 -1 1783
-            4.0500000000000000e+01 -2 -3 1784 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.5016943216323853e-01 4.5923739671707153e-01
-            7.4234819412231445e-01 -3.5227757692337036e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3706134796142578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1785 1.7500000000000000e+01 0 -1 1786
-            2.0500000000000000e+01 -2 -3 1787 35.</internalNodes>
-          <leafValues>
-            -2.3385923355817795e-02 5.5982124805450439e-01
-            -7.7798545360565186e-01 5.9317058324813843e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4069709777832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1788 3.0650000000000000e+02 0 -1 1789
-            6.7500000000000000e+01 -2 -3 1790 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.0442806184291840e-01 3.6357563734054565e-01
-            4.3344959616661072e-01 -7.8407233953475952e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4122543334960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1791 6.9550000000000000e+02 0 -1 1792
-            2.0150000000000000e+02 -2 -3 1793 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.8922367095947266e-01 4.2674824595451355e-01
-            -6.8660050630569458e-01 5.2831500768661499e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4034683227539062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1794 5.0000000000000000e-01 0 -1 1795
-            5.9715000000000000e+03 -2 -3 1796 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2834486961364746e-01 4.5531541109085083e-01
-            1.1746359616518021e-01 -4.9576222896575928e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4980464935302734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1797 1.3500000000000000e+01 0 -1 1798
-            2.9450000000000000e+02 -2 -3 1799 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2881252467632294e-02 -9.8305457830429077e-01
-            9.4577944278717041e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.5089954376220703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1800 2.5000000000000000e+00 0 -1 1801 39. -2 -3 1802
-            9.4950000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 1. 1.6094356775283813e-01 -5.4309475421905518e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5099483489990234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1803 5.7850000000000000e+02 0 -1 1804
-            4.2500000000000000e+01 -2 -3 1805 5.7750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.0962339639663696e-01 1. 7.6542943716049194e-01
-            -4.1924782097339630e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.4866825103759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1806 1328. 0 -1 1807 1.5000000000000000e+00 -2 -3 1808
-            5.5285000000000000e+03</internalNodes>
-          <leafValues>
-            3.6924600601196289e-01 -2.3265689611434937e-01
-            9.9105215072631836e-01 -8.4446805715560913e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5432411193847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1809 2.5500000000000000e+01 0 -1 1810
-            1.1500000000000000e+01 -2 -3 1811 7.4350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2548126578330994e-01 2.2827453911304474e-01
-            7.1661698818206787e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.5408927917480469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1812 5.0000000000000000e-01 0 -1 1813
-            3.5000000000000000e+00 -2 -3 1814 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4099457263946533e-01 3.7504613399505615e-01
-            -6.2640714645385742e-01 8.4968566894531250e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5198207855224609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1815 1.5000000000000000e+00 0 -1 1816
-            6.5000000000000000e+00 -2 -3 1817 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 6.4012116193771362e-01 -2.1071846783161163e-01
-            6.4778321981430054e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5283359527587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1818 2.5000000000000000e+00 0 -1 1819
-            5.0000000000000000e-01 -2 -3 1820 2.4550000000000000e+02</internalNodes>
-          <leafValues>
-            4.5631405711174011e-01 -1.3484077155590057e-01
-            -5.9344494342803955e-01 1.6467481851577759e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5470157623291016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1821 3.5000000000000000e+00 0 -1 1822
-            9.5000000000000000e+00 -2 -3 1823 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -1. -4.3856528401374817e-01 1.8679495155811310e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5202453613281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1824 5.6150000000000000e+02 0 -1 1825 4192. -2 -3 1826
-            1.2425000000000000e+03</internalNodes>
-          <leafValues>
-            -1.4592270553112030e-01 5.8146274089813232e-01
-            -5.5671817064285278e-01 1.2355826795101166e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5569751739501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1827 2.1500000000000000e+01 0 -1 1828
-            5.5000000000000000e+00 -2 -3 1829 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8071776628494263e-01 3.6730051040649414e-01
-            -1.3501003384590149e-01 -9.1282844543457031e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5779064178466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1830 3.3500000000000000e+01 0 -1 1831
-            9.5000000000000000e+00 -2 -3 1832 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2467505335807800e-01 -7.8718549013137817e-01
-            5.1464933156967163e-01 -1.6156230866909027e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5348117828369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1833 3.7650000000000000e+02 0 -1 1834
-            5.5750000000000000e+02 -2 -3 1835 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1101077795028687e-01 6.3146162033081055e-01
-            1.3779489696025848e-01 -4.3094816803932190e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5919422149658203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1836 3.7500000000000000e+01 0 -1 1837
-            5.0000000000000000e-01 -2 -3 1838 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4091222286224365e-01 -3.4007987380027771e-01
-            5.7130312919616699e-01 -6.3140660524368286e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5871620178222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1839 7.5000000000000000e+00 0 -1 1840
-            1.6500000000000000e+01 -2 -3 1841 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.2035612165927887e-01 -9.4882357120513916e-01
-            5.1813077926635742e-01 -4.7800488770008087e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6252223968505859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1842 1.1950000000000000e+02 0 -1 1843
-            9.5500000000000000e+01 -2 -3 1844 3.6850000000000000e+02</internalNodes>
-          <leafValues>
-            3.8002592325210571e-01 -3.4263178706169128e-01
-            5.1846081018447876e-01 -7.4162709712982178e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6455226898193359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1845 5.0000000000000000e-01 0 -1 1846 12. -2 -3 1847
-            3.2995000000000000e+03</internalNodes>
-          <leafValues>
-            -9.0239804983139038e-01 3.5835075378417969e-01
-            -3.9121779799461365e-01 8.4680241346359253e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6692668914794922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1848 2.5000000000000000e+00 0 -1 1849
-            5.0000000000000000e-01 -2 -3 1850 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.6832201480865479e-01 3.5786366462707520e-01
-            -6.5906804800033569e-01 3.1783048063516617e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6752792358398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1851 1.0500000000000000e+01 0 -1 1852
-            6.5500000000000000e+01 -2 -3 1853 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.6706490218639374e-02 -8.7982815504074097e-01
-            5.6353557109832764e-01 -6.0297027230262756e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6775104522705078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1854 2.0150000000000000e+02 0 -1 1855
-            1.0500000000000000e+01 -2 -3 1856 2.8650000000000000e+02</internalNodes>
-          <leafValues>
-            7.4959583580493927e-02 -5.7888466119766235e-01
-            6.6168105602264404e-01 -9.9754244089126587e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6972690582275391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1857 1.6150000000000000e+02 0 -1 1858
-            1.5500000000000000e+01 -2 -3 1859 24.</internalNodes>
-          <leafValues>
-            -7.3095875978469849e-01 1.9758741557598114e-01
-            -8.8720643520355225e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.7200763702392578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1860 5.0000000000000000e-01 0 -1 1861
-            8.8500000000000000e+01 -2 -3 1862 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3610743284225464e-01 -8.8137799501419067e-01
-            -6.0375785827636719e-01 1.2033233046531677e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7070457458496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1863 2.1500000000000000e+01 0 -1 1864
-            1.4500000000000000e+01 -2 -3 1865 5.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7666543722152710e-01 7.4382346868515015e-01
-            4.3915370106697083e-01 -1.3030719757080078e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6970527648925781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1866 1.0500000000000000e+01 0 -1 1867
-            8.5000000000000000e+00 -2 -3 1868 142.</internalNodes>
-          <leafValues>
-            -3.9075690507888794e-01 2.1810866892337799e-01
-            7.3304098844528198e-01 -1.5522833168506622e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7172351837158203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1869 8.3500000000000000e+01 0 -1 1870
-            5.0000000000000000e-01 -2 -3 1871 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.7355487942695618e-01 -8.4495109319686890e-01
-            -8.0800145864486694e-01 2.0182393491268158e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7369266510009766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1872 1.3500000000000000e+01 0 -1 1873
-            2.2050000000000000e+02 -2 -3 1874 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.0745425820350647e-01 -5.7873797416687012e-01
-            7.1144923567771912e-02 -7.0968645811080933e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7163673400878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1875 3.0500000000000000e+01 0 -1 1876
-            1.7955000000000000e+03 -2 -3 1877 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0770485997200012e-01 -6.0543429851531982e-01
-            3.7602424621582031e-01 -2.8918644785881042e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6786552429199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1878 6.8500000000000000e+01 0 -1 1879
-            5.5000000000000000e+00 -2 -3 1880 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1757279932498932e-01 -5.8252972364425659e-01
-            -3.8951548933982849e-01 5.1052653789520264e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6868556976318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1881 6.5000000000000000e+00 0 -1 1882
-            2.5000000000000000e+00 -2 -3 1883 2.6950000000000000e+02</internalNodes>
-          <leafValues>
-            8.2006074488162994e-02 -5.1789224147796631e-01
-            5.3505361080169678e-01 -9.4605493545532227e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7130115509033203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1884 8.5000000000000000e+00 0 -1 1885
-            1.9150000000000000e+02 -2 -3 1886 2.9450000000000000e+02</internalNodes>
-          <leafValues>
-            4.5292165875434875e-01 -4.3888345360755920e-01
-            4.7173380851745605e-01 -5.1566743850708008e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7406742095947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1887 5.5000000000000000e+00 0 -1 1888
-            4.5000000000000000e+00 -2 -3 1889 7.9850000000000000e+02</internalNodes>
-          <leafValues>
-            -3.7859401106834412e-01 5.5919343233108521e-01
-            -5.8277565240859985e-01 6.6450834274291992e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.7422473907470703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1890 5.6150000000000000e+02 0 -1 1891 4961. -2 -3 1892
-            4.8705000000000000e+03</internalNodes>
-          <leafValues>
-            -4.5244730426929891e-04 8.3497661352157593e-01
-            -6.8882519006729126e-01 1.5732206404209137e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.7687702178955078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1893 1.4500000000000000e+01 0 -1 1894
-            4.1335000000000000e+03 -2 -3 1895 7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6522731781005859e-01 -8.9758622646331787e-01
-            -6.0936498641967773e-01 4.6634823083877563e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7540111541748047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1896 2.9500000000000000e+01 0 -1 1897
-            5.5000000000000000e+00 -2 -3 1898 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3110167980194092e-01 1. 3.9634063839912415e-01
-            -1.9126465916633606e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7616504669189453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1899 7.5000000000000000e+00 0 -1 1900 397. -2 -3 1901
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.1867322921752930e-01 -5.4185843467712402e-01
-            5.2771824598312378e-01 -1.5528239309787750e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7763866424560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1902 2.1500000000000000e+01 0 -1 1903
-            1.7050000000000000e+02 -2 -3 1904 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9671201109886169e-01 -8.4789550304412842e-01
-            -5.6201756000518799e-01 2.5604116916656494e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7565292358398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1905 5.0000000000000000e-01 0 -1 1906
-            2.1350000000000000e+02 -2 -3 1907 3.6950000000000000e+02</internalNodes>
-          <leafValues>
-            5.7148373126983643e-01 -8.4696042537689209e-01
-            -3.0725291371345520e-01 5.5036330223083496e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7710926055908203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1908 1.2500000000000000e+01 0 -1 1909
-            4.5000000000000000e+00 -2 -3 1910 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.8967974185943604e-01 3.9181429147720337e-01
-            -6.0330241918563843e-01 2.1838249266147614e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8008132934570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1911 9.5000000000000000e+00 0 -1 1912 270. -2 -3 1913
-            3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9720637202262878e-01 -7.7370458841323853e-01
-            -7.1012228727340698e-01 1.2770961225032806e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8256633758544922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1914 6.3500000000000000e+01 0 -1 1915
-            3.7500000000000000e+01 -2 -3 1916 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4066715240478516e-01 8.2518380880355835e-01
-            2.9887351393699646e-01 -4.9117338657379150e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8460075378417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1917 1.2500000000000000e+01 0 -1 1918
-            3.1500000000000000e+01 -2 -3 1919 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.4090422093868256e-02 5.7412135601043701e-01
-            7.2392117977142334e-01 -6.3018786907196045e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8618007659912109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1920 5.0000000000000000e-01 0 -1 1921
-            1.5500000000000000e+01 -2 -3 1922 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.6668690443038940e-01 3.7771463394165039e-01
-            2.2855560481548309e-01 -4.7967869043350220e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8478435516357422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1923 7.5000000000000000e+00 0 -1 1924
-            1.5000000000000000e+00 -2 -3 1925 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.2515745759010315e-01 -5.5478894710540771e-01
-            4.5419645309448242e-01 -1.3957175612449646e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8872611999511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1926 1.8350000000000000e+02 0 -1 1927
-            4.0500000000000000e+01 -2 -3 1928 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0008619129657745e-01 3.9417695999145508e-01
-            -9.6238315105438232e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.8883186340332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1929 1.2500000000000000e+01 0 -1 1930
-            3.5000000000000000e+00 -2 -3 1931 2.1050000000000000e+02</internalNodes>
-          <leafValues>
-            6.1217731237411499e-01 -1.9048878923058510e-02
-            -7.2783750295639038e-01 8.3897627890110016e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.8808357238769531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1932 4.6500000000000000e+01 0 -1 1933
-            3.5000000000000000e+00 -2 -3 1934 2.8650000000000000e+02</internalNodes>
-          <leafValues>
-            1.3248841464519501e-01 -6.7872178554534912e-01
-            4.7229564189910889e-01 -1.4815118908882141e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9144462585449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1935 1.4500000000000000e+01 0 -1 1936
-            1.6500000000000000e+01 -2 -3 1937 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5575122833251953e-01 6.0179513692855835e-01
-            3.3610317111015320e-01 -2.4818602204322815e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9101814270019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1938 5.0000000000000000e-01 0 -1 1939
-            2.5000000000000000e+00 -2 -3 1940 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            6.1000245809555054e-01 -4.2646210640668869e-02
-            -5.3324443101882935e-01 3.5818785429000854e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8948040008544922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1941 7.5000000000000000e+00 0 -1 1942
-            4.5000000000000000e+00 -2 -3 1943 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.8669669628143311e-01 7.7529543638229370e-01
-            3.8582339882850647e-01 -1.5377666056156158e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9593772888183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1944 3.5525000000000000e+03 0 -1 1945
-            3.4500000000000000e+01 -2 -3 1946 167.</internalNodes>
-          <leafValues>
-            -2.2072853147983551e-01 3.3567503094673157e-01 1. -1.</leafValues></_>
-        <_>
-          <treeThreshold>5.9370800018310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1947 7.5000000000000000e+00 0 -1 1948 3474. -2 -3 1949
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.4637100994586945e-02 -5.9609389305114746e-01
-            5.9798693656921387e-01 -1.3024185597896576e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9757068634033203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1950 1.1500000000000000e+01 0 -1 1951
-            4.4500000000000000e+01 -2 -3 1952 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1445469856262207e-01 8.4411728382110596e-01
-            3.8626831769943237e-01 -1.6962867975234985e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9796058654785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1953 5.8750000000000000e+02 0 -1 1954
-            3.5000000000000000e+00 -2 -3 1955 3.9150000000000000e+02</internalNodes>
-          <leafValues>
-            2.4987047910690308e-01 -6.1070859432220459e-01
-            7.2914922237396240e-01 -7.8055180609226227e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.9801254272460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1956 5.5850000000000000e+02 0 -1 1957
-            4.7500000000000000e+01 -2 -3 1958 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1270057410001755e-01 6.9968527555465698e-01
-            5.1938942633569241e-03 -7.4568808078765869e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0010192871093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1959 4.8500000000000000e+01 0 -1 1960
-            6.5000000000000000e+00 -2 -3 1961 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.4147862195968628e-01 2.0893752574920654e-01
-            -7.3173969984054565e-01 3.0364623665809631e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9708690643310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1962 5.0000000000000000e-01 0 -1 1963
-            3.5000000000000000e+00 -2 -3 1964 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.1378659009933472e-01 5.2321916818618774e-01
-            -3.0149966478347778e-01 6.9747513532638550e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0059795379638672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1965 4.1500000000000000e+01 0 -1 1966
-            1.5000000000000000e+00 -2 -3 1967 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6339656114578247e-01 -6.3636028766632080e-01
-            3.5110288858413696e-01 -2.9607880115509033e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0240623474121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1968 4.5000000000000000e+00 0 -1 1969
-            1.5000000000000000e+00 -2 -3 1970 3.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1838161945343018e-01 1.8083088099956512e-01
-            -1.4869785308837891e-01 5.0236159563064575e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0387596130371094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1971 1.6250000000000000e+02 0 -1 1972
-            4.5000000000000000e+00 -2 -3 1973 4.4650000000000000e+02</internalNodes>
-          <leafValues>
-            6.7135459184646606e-01 1.1329505359753966e-03
-            -6.6079312562942505e-01 1.4697253704071045e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0387634277343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1974 3.5000000000000000e+00 0 -1 1975
-            1.8500000000000000e+01 -2 -3 1976 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3784970641136169e-01 -4.8918390274047852e-01
-            -5.6978744268417358e-01 1.3324360549449921e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0022872924804688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1977 2.0850000000000000e+02 0 -1 1978
-            3.5000000000000000e+00 -2 -3 1979 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4730446934700012e-01 -3.6476173996925354e-01
-            -6.7308956384658813e-01 5.9900748729705811e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0411987304687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1980 4.6500000000000000e+01 0 -1 1981
-            7.5000000000000000e+00 -2 -3 1982 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1475833654403687e-01 3.5484632849693298e-01
-            3.8911363482475281e-01 -1.7250961065292358e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0604080200195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1983 5.0000000000000000e-01 0 -1 1984
-            6.5000000000000000e+00 -2 -3 1985 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3925055265426636e-01 4.7325718402862549e-01
-            1.9209517538547516e-01 -4.6254682540893555e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0539005279541016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1986 3.5500000000000000e+01 0 -1 1987 97. -2 -3 1988
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.5639108419418335e-01 -8.1671226024627686e-01
-            5.2336204051971436e-01 -6.5074905753135681e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.0846366882324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1989 3.1350000000000000e+02 0 -1 1990
-            1.6190500000000000e+04 -2 -3 1991 1.1005000000000000e+03</internalNodes>
-          <leafValues>
-            4.3834140896797180e-01 -3.6532020568847656e-01
-            6.3986539840698242e-01 -4.1561451554298401e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0749099731445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1992 3.5000000000000000e+00 0 -1 1993
-            1.6050000000000000e+02 -2 -3 1994 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9444553852081299e-01 -5.1368337869644165e-01
-            -6.9115257263183594e-01 1.9162381067872047e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.0911582946777344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1995 3.1500000000000000e+01 0 -1 1996 39. -2 -3 1997
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1950684785842896e-01 1. -7.2641021013259888e-01
-            1.6248121857643127e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0922454833984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 1998 5.5000000000000000e+00 0 -1 1999
-            1.0500000000000000e+01 -2 -3 2000 1.5805000000000000e+03</internalNodes>
-          <leafValues>
-            -7.5020366907119751e-01 3.5568973422050476e-01
-            -4.8083752393722534e-01 3.0702778697013855e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1254642486572266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2001 3.3650000000000000e+02 0 -1 2002
-            5.0000000000000000e-01 -2 -3 2003 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.5214070081710815e-01 -5.6389236450195312e-01
-            3.4662494063377380e-01 -2.9536944627761841e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1591125488281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2004 2.5500000000000000e+01 0 -1 2005
-            1.4500000000000000e+01 -2 -3 2006 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.3703818619251251e-01 -4.9739819765090942e-01
-            -6.2935429811477661e-01 5.6868934631347656e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1522079467773438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2007 2.0500000000000000e+01 0 -1 2008
-            8.5500000000000000e+01 -2 -3 2009 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            7.8972160816192627e-01 -6.7304050922393799e-01
-            2.6793375611305237e-01 -6.3064610958099365e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1685386657714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2010 4.7055000000000000e+03 0 -1 2011
-            7.5000000000000000e+00 -2 -3 2012 34.</internalNodes>
-          <leafValues>
-            -6.3200688362121582e-01 1.6331009566783905e-01
-            -9.4863635301589966e-01 8.0065780878067017e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1566181182861328e+01</treeThreshold>
-          <internalNodes>
-            1 2 2013 7.2950000000000000e+02 0 -1 2014
-            2.0350000000000000e+02 -2 -3 2015 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1920681595802307e-01 6.4878600835800171e-01
-            -5.8408319950103760e-01 3.3495616912841797e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2094886779785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2016 9.5000000000000000e+00 0 -1 2017
-            3.5000000000000000e+00 -2 -3 2018 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2870643138885498e-01 -5.9091903269290924e-02
-            1.4992588758468628e-01 -7.4673342704772949e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1996501922607422e+01</treeThreshold>
-          <internalNodes>
-            1 2 2019 3.4500000000000000e+01 0 -1 2020
-            9.6500000000000000e+01 -2 -3 2021 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8386786878108978e-02 5.0483143329620361e-01
-            1.5602034330368042e-01 -6.9411128759384155e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2363922119140625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2022 1.4965000000000000e+03 0 -1 2023 61. -2 -3 2024
-            8.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -9.3483263254165649e-01 1. 5.6837409734725952e-01
-            -8.3574697375297546e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2407440185546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2025 5977. 0 -1 2026 2.5000000000000000e+00 -2 -3 2027
-            2.1421500000000000e+04</internalNodes>
-          <leafValues>
-            2.2136372327804565e-01 -6.3119232654571533e-01
-            9.1829413175582886e-01 4.3518073856830597e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2328540802001953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2028 9.5000000000000000e+00 0 -1 2029
-            3.8550000000000000e+02 -2 -3 2030 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.9880517721176147e-01 -3.3323591947555542e-01
-            -9.3455439805984497e-01 3.5605767369270325e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2549594879150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2031 1.2500000000000000e+01 0 -1 2032
-            2.5000000000000000e+00 -2 -3 2033 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2225402593612671e-01 -2.8828126192092896e-01
-            -4.3309009075164795e-01 6.5534549951553345e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2636714935302734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2034 417. 0 -1 2035 1.1500000000000000e+01 -2 -3 2036 7.</internalNodes>
-          <leafValues>
-            -2.1113002672791481e-02 8.4205090999603271e-01
-            -9.7738903760910034e-01 5.3100347518920898e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2861415863037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2037 2.5000000000000000e+00 0 -1 2038
-            5.5000000000000000e+00 -2 -3 2039 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6132452487945557e-01 3.6051002144813538e-01
-            -5.7641249895095825e-01 1.5012158453464508e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2900104522705078e+01</treeThreshold>
-          <internalNodes>
-            1 2 2040 5.0000000000000000e-01 0 -1 2041
-            3.5000000000000000e+00 -2 -3 2042 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3149966001510620e-01 2.9147976636886597e-01
-            -6.3701289892196655e-01 5.4918531328439713e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.2879768371582031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2043 1.5000000000000000e+00 0 -1 2044
-            2.5000000000000000e+00 -2 -3 2045 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.6399359703063965e-01 -1.0929831862449646e-01
-            7.8133702278137207e-02 -4.7019696235656738e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2129520416259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 2046 1.3650000000000000e+02 0 -1 2047
-            2.1215000000000000e+03 -2 -3 2048 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4869627356529236e-01 -7.8195393085479736e-01
-            -5.4876875877380371e-01 2.9066467285156250e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2598121643066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2049 5.5000000000000000e+00 0 -1 2050
-            2.0500000000000000e+01 -2 -3 2051 3.3450000000000000e+02</internalNodes>
-          <leafValues>
-            -2.8021445870399475e-01 4.6860334277153015e-01
-            -4.1921630501747131e-01 9.1871756315231323e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2898983001708984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2052 5.8750000000000000e+02 0 -1 2053
-            3.3150000000000000e+02 -2 -3 2054 258.</internalNodes>
-          <leafValues>
-            -5.8121073246002197e-01 7.2862756252288818e-01
-            3.0086198449134827e-01 -6.1838138103485107e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3007404327392578e+01</treeThreshold>
-          <internalNodes>
-            1 2 2055 2.7950000000000000e+02 0 -1 2056
-            5.0500000000000000e+01 -2 -3 2057 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.9203374683856964e-02 6.8916302919387817e-01
-            2.2891193628311157e-01 -4.4382786750793457e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3243953704833984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2058 8.5000000000000000e+00 0 -1 2059
-            3.2650000000000000e+02 -2 -3 2060 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 2.3655229806900024e-01 -5.4432135820388794e-01
-            8.4973216056823730e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3190502166748047e+01</treeThreshold>
-          <internalNodes>
-            1 2 2061 3.1500000000000000e+01 0 -1 2062
-            6.4500000000000000e+01 -2 -3 2063 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.7394508421421051e-01 3.4196874499320984e-01
-            -7.9306966066360474e-01 7.7552306652069092e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3256435394287109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2064 5.0000000000000000e-01 0 -1 2065
-            4.5000000000000000e+00 -2 -3 2066 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4375263452529907e-01 4.6298280358314514e-01
-            6.5930701792240143e-02 -6.0258072614669800e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3547569274902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2067 3.5000000000000000e+00 0 -1 2068
-            2.9665000000000000e+03 -2 -3 2069 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.6696309447288513e-01 -6.1605608463287354e-01
-            5.8771264553070068e-01 -7.7434383332729340e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.3455562591552734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2070 2.6500000000000000e+01 0 -1 2071
-            1.0435000000000000e+03 -2 -3 2072 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.0468648672103882e-01 2.7090394496917725e-01 -1.
-            7.8004688024520874e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3757442474365234e+01</treeThreshold>
-          <internalNodes>
-            1 2 2073 1.0350000000000000e+02 0 -1 2074
-            1.0500000000000000e+01 -2 -3 2075 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.8403138518333435e-01 3.0187815427780151e-01
-            3.1422126293182373e-01 -7.1062839031219482e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3906417846679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2076 4.5000000000000000e+00 0 -1 2077
-            1.5000000000000000e+00 -2 -3 2078 4.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3861616849899292e-01 4.0836670994758606e-01
-            -5.5579960346221924e-01 1.4897711575031281e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4099327087402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2079 2.5500000000000000e+01 0 -1 2080
-            5.7650000000000000e+02 -2 -3 2081 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5475443601608276e-01 1.9290663301944733e-01
-            -7.1113204956054688e-01 5.3957355022430420e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3918937683105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2082 3.5000000000000000e+00 0 -1 2083
-            9.7500000000000000e+01 -2 -3 2084 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.3335947990417480e-01 2.7078640460968018e-01
-            3.7570750713348389e-01 -7.7115553617477417e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3970809936523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2085 3.5000000000000000e+00 0 -1 2086
-            1.9850000000000000e+02 -2 -3 2087 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5109664201736450e-01 -1.3773214817047119e-01
-            -5.4258519411087036e-01 5.1870465278625488e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.4214424133300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2088 1.2500000000000000e+01 0 -1 2089
-            3.2450000000000000e+02 -2 -3 2090 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3517467379570007e-01 -9.6950376033782959e-01
-            2.5978988409042358e-01 -2.7689433097839355e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4605529785156250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2091 327. 0 -1 2092 5.0000000000000000e-01 -2 -3 2093
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3849301040172577e-01 -5.6138235330581665e-01
-            -6.2119048833847046e-01 3.9110702276229858e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4053535461425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2094 1.8500000000000000e+01 0 -1 2095
-            1.4500000000000000e+01 -2 -3 2096 1.7225000000000000e+03</internalNodes>
-          <leafValues>
-            -7.9772460460662842e-01 2.5171506404876709e-01
-            4.5911735296249390e-01 -5.6817436218261719e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4624084472656250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2097 1.3500000000000000e+01 0 -1 2098
-            3.8450000000000000e+02 -2 -3 2099 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.7918819189071655e-01 -6.8560796976089478e-01
-            5.7055342197418213e-01 -1.1227272450923920e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4599174499511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2100 3.9950000000000000e+02 0 -1 2101
-            6.5000000000000000e+00 -2 -3 2102 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6946315169334412e-01 -6.8496251106262207e-01
-            -1.4580105245113373e-01 4.0004068613052368e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4730812072753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2103 5.0000000000000000e-01 0 -1 2104
-            1.0500000000000000e+01 -2 -3 2105 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.1157549619674683e-01 3.9449948072433472e-01
-            1.3164354860782623e-01 -5.7457894086837769e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4550361633300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2106 6.1500000000000000e+01 0 -1 2107
-            4.2500000000000000e+01 -2 -3 2108 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.7661024630069733e-02 4.9807086586952209e-01
-            2.6868519186973572e-01 -5.6513643264770508e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4741752624511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2109 1.5000000000000000e+00 0 -1 2110
-            1.4500000000000000e+01 -2 -3 2111 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.7091879844665527e-01 4.6459051966667175e-01
-            2.1071271598339081e-01 -4.8713284730911255e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4659866333007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2112 2.5000000000000000e+00 0 -1 2113
-            1.0500000000000000e+01 -2 -3 2114 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.9292472600936890e-01 -9.4043314456939697e-01
-            5.3616881370544434e-01 -8.1886835396289825e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.4854621887207031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2115 5.7500000000000000e+01 0 -1 2116
-            6.5000000000000000e+00 -2 -3 2117 1399.</internalNodes>
-          <leafValues>
-            1.7543983459472656e-01 -5.9518599510192871e-01
-            -6.6982376575469971e-01 3.6574700474739075e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4909034729003906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2118 2.7650000000000000e+02 0 -1 2119 2618. -2 -3 2120
-            4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1149606704711914e-01 -7.5715744495391846e-01
-            5.4412230849266052e-02 -5.4240036010742188e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5523689270019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2121 2.0850000000000000e+02 0 -1 2122
-            1.5000000000000000e+00 -2 -3 2123 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8490218520164490e-01 -4.3338671326637268e-01
-            -4.2747175693511963e-01 6.1465066671371460e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5561706542968750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2124 212. 0 -1 2125 4.5500000000000000e+01 -2 -3 2126
-            2.5150000000000000e+02</internalNodes>
-          <leafValues>
-            -5.5702477693557739e-01 3.5860374569892883e-01
-            -6.7760747671127319e-01 3.8017414510250092e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5649497985839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2127 5.9500000000000000e+01 0 -1 2128
-            3.5000000000000000e+00 -2 -3 2129 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.9711538553237915e-01 2.5381851196289062e-01
-            4.2455443739891052e-01 -1.7120632529258728e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5992294311523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2130 3.5000000000000000e+00 0 -1 2131
-            1.6250000000000000e+02 -2 -3 2132 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3420738577842712e-01 6.4248228073120117e-01
-            6.8257737159729004e-01 -1.6899804770946503e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6213569641113281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2133 5.5000000000000000e+00 0 -1 2134
-            7.3500000000000000e+01 -2 -3 2135 9.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2127301990985870e-01 -7.9195356369018555e-01
-            -6.8413102626800537e-01 8.0674022436141968e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5891929626464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2136 5.1500000000000000e+01 0 -1 2137
-            3.5000000000000000e+00 -2 -3 2138 3.6750000000000000e+02</internalNodes>
-          <leafValues>
-            3.1779468059539795e-01 -3.8076880574226379e-01
-            6.2580502033233643e-01 -3.2678863406181335e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5933746337890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2139 1.1500000000000000e+01 0 -1 2140
-            2.5000000000000000e+00 -2 -3 2141 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.1745031177997589e-01 -4.3131595849990845e-01
-            6.6705638170242310e-01 -2.3260143399238586e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5980415344238281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2142 3.5000000000000000e+00 0 -1 2143
-            2.5000000000000000e+00 -2 -3 2144 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            7.7854001522064209e-01 -8.4415936470031738e-01
-            5.8085924386978149e-01 -2.8965638950467110e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5784027099609375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2145 4.7500000000000000e+01 0 -1 2146
-            2.5000000000000000e+00 -2 -3 2147 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.7243506312370300e-01 -6.9404041767120361e-01
-            3.7178915739059448e-01 -1.9639030098915100e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6053306579589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2148 4.7350000000000000e+02 0 -1 2149
-            4.7500000000000000e+01 -2 -3 2150 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7930485606193542e-01 2.6928251981735229e-01
-            -6.6765409708023071e-01 4.6291077136993408e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6251876831054688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2151 1.7500000000000000e+01 0 -1 2152
-            3.2650000000000000e+02 -2 -3 2153 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 1.9857025146484375e-01 -6.2745827436447144e-01
-            4.3167012929916382e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6497039794921875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2154 2.8500000000000000e+01 0 -1 2155
-            2.6500000000000000e+01 -2 -3 2156 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1000304222106934e-01 6.9051915407180786e-01
-            -2.8902414441108704e-01 4.2377713322639465e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6451217651367188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2157 4.1250000000000000e+02 0 -1 2158
-            1.6500000000000000e+01 -2 -3 2159 3.0650000000000000e+02</internalNodes>
-          <leafValues>
-            2.3259440436959267e-02 -6.3648867607116699e-01
-            7.6639103889465332e-01 -1.8078628182411194e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6132827758789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2160 2.1500000000000000e+01 0 -1 2161
-            8.7550000000000000e+02 -2 -3 2162 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3872911334037781e-01 2.7060332894325256e-01
-            -6.3514488935470581e-01 9.0211552381515503e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6081367492675781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2163 5.7650000000000000e+02 0 -1 2164 681. -2 -3 2165
-            1.7175000000000000e+03</internalNodes>
-          <leafValues>
-            -7.8227895498275757e-01 8.6135381460189819e-01
-            8.2487636804580688e-01 -5.1461022347211838e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5997879028320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2166 1.8500000000000000e+01 0 -1 2167
-            4.5000000000000000e+00 -2 -3 2168 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3486534655094147e-02 6.0638916492462158e-01
-            -4.8585453629493713e-01 2.9007250070571899e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6484413146972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2169 1.2995000000000000e+03 0 -1 2170
-            4.6065000000000000e+03 -2 -3 2171 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.7341315150260925e-01 5.3913331031799316e-01
-            4.8653602600097656e-01 -4.5589551329612732e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6919540405273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2172 2.8500000000000000e+01 0 -1 2173 143. -2 -3 2174
-            1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            4.0857741236686707e-01 -7.9653608798980713e-01
-            4.3512815237045288e-01 -1.2409269809722900e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6548828125000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2175 3.6500000000000000e+01 0 -1 2176
-            3.8500000000000000e+01 -2 -3 2177 3.0015000000000000e+03</internalNodes>
-          <leafValues>
-            -3.7071618437767029e-01 3.0769228935241699e-01
-            -5.6432120501995087e-02 7.5577193498611450e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6935661315917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2178 221. 0 -1 2179 5.0000000000000000e-01 -2 -3 2180
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.8683256506919861e-01 -1.6335722804069519e-01
-            3.1397402286529541e-01 -8.9784342050552368e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6811462402343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2181 1.6500000000000000e+01 0 -1 2182
-            9.7500000000000000e+01 -2 -3 2183 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.9564503431320190e-01 -6.8224984407424927e-01
-            3.6420011520385742e-01 -2.7474680542945862e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7206642150878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2184 2.8150000000000000e+02 0 -1 2185
-            5.3500000000000000e+01 -2 -3 2186 2.1950000000000000e+02</internalNodes>
-          <leafValues>
-            3.9518028497695923e-01 -7.5029599666595459e-01
-            -4.5047336816787720e-01 4.4910728931427002e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6829307556152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2187 6.2550000000000000e+02 0 -1 2188
-            2.7045000000000000e+03 -2 -3 2189 7.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -1.0180658102035522e-01 4.7846919298171997e-01
-            -9.1966360807418823e-01 -3.8947533816099167e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.6750717163085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2190 4.7350000000000000e+02 0 -1 2191
-            5.7500000000000000e+01 -2 -3 2192 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.8587010502815247e-02 6.3941407203674316e-01
-            7.1196836233139038e-01 -7.2520041465759277e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7127670288085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2193 2.5000000000000000e+00 0 -1 2194
-            1.5500000000000000e+01 -2 -3 2195 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.7885441780090332e-01 3.2798525691032410e-01
-            8.6548590660095215e-01 5.7965524494647980e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7040710449218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2196 2.5000000000000000e+00 0 -1 2197
-            1.9500000000000000e+01 -2 -3 2198 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5627369880676270e-01 5.8527511358261108e-01
-            -5.7549017667770386e-01 6.9125495851039886e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7134475708007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2199 2.5000000000000000e+00 0 -1 2200
-            1.4215000000000000e+03 -2 -3 2201 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.7880736589431763e-01 -4.5164510607719421e-01
-            5.3598467260599136e-02 -5.7012593746185303e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7369125366210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2202 5.5000000000000000e+00 0 -1 2203
-            5.5000000000000000e+00 -2 -3 2204 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4780540466308594e-01 7.3004895448684692e-01
-            6.4780569076538086e-01 -5.0393346697092056e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7813079833984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2205 1.2500000000000000e+01 0 -1 2206 9948. -2 -3 2207
-            2.0450000000000000e+02</internalNodes>
-          <leafValues>
-            -4.2956997640430927e-03 -9.1839849948883057e-01
-            -1.5275211632251740e-01 4.4395634531974792e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8058036804199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2208 4.0500000000000000e+01 0 -1 2209
-            5.0000000000000000e-01 -2 -3 2210 4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4495334923267365e-01 -9.5012718439102173e-01
-            1.7766039073467255e-01 -4.3439298868179321e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7814498901367188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2211 1.5500000000000000e+01 0 -1 2212
-            7.5000000000000000e+00 -2 -3 2213 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4375911951065063e-01 -6.9197601079940796e-01
-            -7.6082307100296021e-01 2.3456893861293793e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7533103942871094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2214 8.1500000000000000e+01 0 -1 2215
-            1.1500000000000000e+01 -2 -3 2216 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6256918907165527e-01 -2.8139856457710266e-01
-            -8.1822723150253296e-01 2.4620606005191803e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7985069274902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2217 2.6500000000000000e+01 0 -1 2218
-            9.5000000000000000e+00 -2 -3 2219 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.2688148021697998e-01 -9.2650556564331055e-01
-            4.5196792483329773e-01 -1.2886488437652588e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8211486816406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2220 1.9500000000000000e+01 0 -1 2221
-            9.4500000000000000e+01 -2 -3 2222 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5716031454503536e-03 -9.2506814002990723e-01
-            2.2641468048095703e-01 -5.4319751262664795e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8062339782714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2223 1.5000000000000000e+00 0 -1 2224
-            1.1350000000000000e+02 -2 -3 2225 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.4914712309837341e-01 6.2766093015670776e-01
-            5.2602481842041016e-01 -3.3082970976829529e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8320228576660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2226 6.7500000000000000e+01 0 -1 2227
-            4.5000000000000000e+00 -2 -3 2228 8.3350000000000000e+02</internalNodes>
-          <leafValues>
-            -7.0059794187545776e-01 2.5789487361907959e-01
-            2.8099337220191956e-01 -6.9175392389297485e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8181999206542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2229 1.2500000000000000e+01 0 -1 2230
-            3.1350000000000000e+02 -2 -3 2231 9.4565000000000000e+03</internalNodes>
-          <leafValues>
-            1.9189414381980896e-01 -3.9976862072944641e-01
-            5.6042033433914185e-01 -9.6583509445190430e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8313468933105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2232 9.5000000000000000e+00 0 -1 2233 1313. -2 -3 2234
-            7.9450000000000000e+02</internalNodes>
-          <leafValues>
-            6.0552877187728882e-01 -7.1993356943130493e-01
-            -1.9865931570529938e-01 3.5071191191673279e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8655784606933594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2235 5.5000000000000000e+00 0 -1 2236
-            1.5500000000000000e+01 -2 -3 2237 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3366417884826660e-01 3.4231638908386230e-01
-            -5.7617366313934326e-01 1.2723289430141449e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8312980651855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2238 1.5000000000000000e+00 0 -1 2239
-            1.0500000000000000e+01 -2 -3 2240 3.2950000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2311822175979614e-01 5.3832811117172241e-01
-            -3.4280434250831604e-01 6.2301361560821533e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8748611450195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2241 5.5000000000000000e+00 0 -1 2242
-            6.3500000000000000e+01 -2 -3 2243 1.4355000000000000e+03</internalNodes>
-          <leafValues>
-            4.3563413619995117e-01 -7.9157996177673340e-01
-            6.3327491283416748e-02 -5.8212018013000488e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8442298889160156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2244 2.0500000000000000e+01 0 -1 2245
-            8.5000000000000000e+00 -2 -3 2246 1.3350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.0631437897682190e-01 2.6373180747032166e-01
-            7.2269374132156372e-01 -8.2843840122222900e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8691452026367188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2247 5.8450000000000000e+02 0 -1 2248 1991. -2 -3 2249
-            1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8844625949859619e-01 7.2171705961227417e-01
-            5.9379982948303223e-01 -8.8590703904628754e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.8854362487792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2250 2.2450000000000000e+02 0 -1 2251
-            3.5000000000000000e+00 -2 -3 2252 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1746988892555237e-01 -1.5201584994792938e-01
-            -7.8322100639343262e-01 4.8759365081787109e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8978080749511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2253 1.1350000000000000e+02 0 -1 2254
-            4.5000000000000000e+00 -2 -3 2255 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2371577322483063e-01 -6.8989777565002441e-01
-            3.5007947683334351e-01 -7.2059243917465210e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9356269836425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2256 1.9500000000000000e+01 0 -1 2257
-            1.0500000000000000e+01 -2 -3 2258 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8434163331985474e-01 -4.2419987916946411e-01
-            5.7273209095001221e-01 -1.0273739695549011e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9808845520019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2259 5.5000000000000000e+00 0 -1 2260
-            1.8500000000000000e+01 -2 -3 2261 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.0742955207824707e-01 8.1550550460815430e-01
-            4.5257565379142761e-01 -1.1754118651151657e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9490539550781250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2262 5.3500000000000000e+01 0 -1 2263 80. -2 -3 2264
-            2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4256713390350342e-01 5.4104971885681152e-01
-            3.5188353061676025e-01 -3.0036619305610657e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9366668701171875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2265 2.6065000000000000e+03 0 -1 2266
-            3.1350000000000000e+02 -2 -3 2267 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.2386845052242279e-01 4.6345305442810059e-01
-            6.0491842031478882e-01 -9.4304585456848145e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9713836669921875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2268 1.7500000000000000e+01 0 -1 2269
-            2.5000000000000000e+00 -2 -3 2270 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.5482913255691528e-01 3.4717017412185669e-01
-            1.7867124080657959e-01 -6.1432170867919922e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0036468505859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2271 7.5000000000000000e+00 0 -1 2272
-            2.3500000000000000e+01 -2 -3 2273 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.8486787080764771e-01 3.2262811064720154e-01
-            -5.6460940837860107e-01 1.9223406910896301e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9981750488281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2274 1.7250000000000000e+02 0 -1 2275
-            5.0000000000000000e-01 -2 -3 2276 5.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4282279610633850e-01 -3.6108613014221191e-01
-            5.9585607051849365e-01 -6.8952751159667969e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9557426452636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2277 1.5000000000000000e+00 0 -1 2278 7. -2 -3 2279
-            4.2050000000000000e+02</internalNodes>
-          <leafValues>
-            1. -7.2186136245727539e-01 2.3051606118679047e-01
-            -4.9865522980690002e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9593688964843750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2280 3.5000000000000000e+00 0 -1 2281
-            5.5000000000000000e+00 -2 -3 2282 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.6256898194551468e-02 -5.9310066699981689e-01
-            6.1099308729171753e-01 -5.2162308245897293e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9190055847167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2283 5.0000000000000000e-01 0 -1 2284
-            1.5000000000000000e+00 -2 -3 2285 3.1950000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6549012660980225e-01 4.1545909643173218e-01
-            -4.0363189578056335e-01 6.4397597312927246e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9152801513671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2286 1.2500000000000000e+01 0 -1 2287
-            1.3500000000000000e+01 -2 -3 2288 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.4121584892272949e-02 -8.1945008039474487e-01
-            5.4119038581848145e-01 -3.7251871079206467e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9844085693359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2289 4.1950000000000000e+02 0 -1 2290 3338. -2 -3 2291
-            1.7450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.0648692399263382e-01 6.9128334522247314e-01
-            -4.1935205459594727e-01 2.4380990862846375e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0174018859863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2292 1.5500000000000000e+01 0 -1 2293
-            2.6500000000000000e+01 -2 -3 2294 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.6438052654266357e-01 3.2993179559707642e-01
-            1.9468745589256287e-01 -5.9477233886718750e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0660224914550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2295 1.0150000000000000e+02 0 -1 2296
-            5.0000000000000000e-01 -2 -3 2297 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8620355129241943e-01 -1.8835483491420746e-01
-            -5.4727905988693237e-01 5.2561342716217041e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0732994079589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2298 1.4450000000000000e+02 0 -1 2299
-            2.5000000000000000e+00 -2 -3 2300 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.2770319879055023e-02 -6.6459918022155762e-01
-            4.1657650470733643e-01 -3.1872367858886719e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0376434326171875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2301 2.7750000000000000e+02 0 -1 2302
-            2.8500000000000000e+01 -2 -3 2303 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7953361272811890e-01 5.4570424556732178e-01
-            3.0004525184631348e-01 -3.5655823349952698e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0656318664550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2304 5.8750000000000000e+02 0 -1 2305
-            1.0500000000000000e+01 -2 -3 2306 7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.0104954242706299e-01 -8.7880355119705200e-01
-            -8.3692330121994019e-01 2.7988719940185547e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0784782409667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2307 1.4500000000000000e+01 0 -1 2308
-            1.0450000000000000e+02 -2 -3 2309 67.</internalNodes>
-          <leafValues>
-            6.7218846082687378e-01 -3.5151880979537964e-01
-            -6.5867102146148682e-01 4.6130353212356567e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0990669250488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2310 334. 0 -1 2311 3.3500000000000000e+01 -2 -3 2312
-            8.1750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3783861994743347e-01 3.0199536681175232e-01
-            -9.2741793394088745e-01 2.6250743865966797e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1334205627441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2313 1.4500000000000000e+01 0 -1 2314
-            1.4500000000000000e+01 -2 -3 2315 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.9965308308601379e-01 4.6802315115928650e-01
-            -4.5157477259635925e-01 6.7555361986160278e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1500701904296875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2316 5.0000000000000000e-01 0 -1 2317 87. -2 -3 2318
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.0542531609535217e-01 -5.7673245668411255e-01
-            2.7094784379005432e-01 -5.7631582021713257e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1793479919433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2319 4.5000000000000000e+00 0 -1 2320
-            3.0500000000000000e+01 -2 -3 2321 1.8005000000000000e+03</internalNodes>
-          <leafValues>
-            -9.6369409561157227e-01 1. 2.9277887940406799e-01
-            -2.4375233054161072e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1967315673828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2322 2.5000000000000000e+00 0 -1 2323 4880. -2 -3 2324
-            3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0087158083915710e-01 -5.3540611267089844e-01
-            -6.9770932197570801e-01 -8.8338237255811691e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.1673614501953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2325 1.1500000000000000e+01 0 -1 2326
-            5.0000000000000000e-01 -2 -3 2327 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.5899358987808228e-01 -5.2653604745864868e-01
-            5.8578026294708252e-01 -3.2805901020765305e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.1711250305175781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2328 1.8500000000000000e+01 0 -1 2329
-            1.8050000000000000e+02 -2 -3 2330 35.</internalNodes>
-          <leafValues>
-            3.5447284579277039e-01 -5.9741777181625366e-01
-            -7.3350757360458374e-01 2.8574359416961670e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1695281982421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2331 2.0850000000000000e+02 0 -1 2332 1048. -2 -3 2333
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0666926503181458e-01 9.4038575887680054e-01
-            -7.0172363519668579e-01 4.9131000041961670e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1706031799316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2334 2.8850000000000000e+02 0 -1 2335 1736. -2 -3 2336
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0753270238637924e-02 7.3304736614227295e-01
-            5.3744524717330933e-01 -5.2062910795211792e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1823760986328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2337 1.6500000000000000e+01 0 -1 2338
-            7.5000000000000000e+00 -2 -3 2339 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.8876292705535889e-01 3.3360600471496582e-01
-            1.1772559583187103e-01 -5.7080477476119995e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2228584289550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2340 2.5000000000000000e+00 0 -1 2341
-            4.6500000000000000e+01 -2 -3 2342 1.5250000000000000e+02</internalNodes>
-          <leafValues>
-            -2.1400362253189087e-01 4.0482848882675171e-01
-            -6.2977635860443115e-01 3.5589864850044250e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2438087463378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2343 1.6500000000000000e+01 0 -1 2344 3901. -2 -3 2345
-            2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0950204133987427e-01 -5.5380266904830933e-01
-            -7.4909400939941406e-01 5.2945792675018311e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2360771179199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2346 2.4500000000000000e+01 0 -1 2347
-            7.5000000000000000e+00 -2 -3 2348 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7871867418289185e-01 -7.5313919782638550e-01
-            5.1331257820129395e-01 -9.7519315779209137e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.1928703308105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2349 8.0500000000000000e+01 0 -1 2350
-            8.6500000000000000e+01 -2 -3 2351 139.</internalNodes>
-          <leafValues>
-            5.2605316042900085e-02 -6.2711888551712036e-01
-            -3.3864989876747131e-01 4.3293687701225281e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2465637207031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2352 3.5000000000000000e+00 0 -1 2353
-            3.5000000000000000e+00 -2 -3 2354 458.</internalNodes>
-          <leafValues>
-            -8.2156580686569214e-01 5.3693503141403198e-01
-            -7.5703012943267822e-01 7.3093846440315247e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.2306266784667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2355 1.5000000000000000e+00 0 -1 2356
-            2.2500000000000000e+01 -2 -3 2357 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.8483113050460815e-01 2.5380238890647888e-01
-            1.9247277081012726e-01 -5.5495434999465942e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2351318359375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2358 5.0000000000000000e-01 0 -1 2359
-            1.1500000000000000e+01 -2 -3 2360 2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.4710837602615356e-01 3.3967879414558411e-01
-            4.5056350529193878e-02 -6.6342002153396606e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2549964904785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2361 3.1500000000000000e+01 0 -1 2362
-            5.5000000000000000e+00 -2 -3 2363 1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2634866014122963e-03 -5.6539881229400635e-01
-            5.9193736314773560e-01 -6.0422807931900024e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2340164184570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2364 1.4550000000000000e+02 0 -1 2365 87. -2 -3 2366
-            2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            7.1558344364166260e-01 -6.7444592714309692e-01
-            2.4655258655548096e-01 -4.4633221626281738e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2298965454101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2367 5.0000000000000000e-01 0 -1 2368
-            1.6500000000000000e+01 -2 -3 2369 1.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -6.4155972003936768e-01 5.6763589382171631e-01
-            4.5910947024822235e-02 -5.7516378164291382e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2460647583007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2370 1.0500000000000000e+01 0 -1 2371 776. -2 -3 2372
-            3.0350000000000000e+02</internalNodes>
-          <leafValues>
-            1. -7.5311285257339478e-01 1.6168554127216339e-01
-            -9.7889220714569092e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2329025268554688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2373 6.8250000000000000e+02 0 -1 2374
-            9.8350000000000000e+02 -2 -3 2375 8.4550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8907532691955566e-01 6.2361657619476318e-01
-            6.0256063938140869e-01 -1.3162477314472198e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2692337036132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2376 9.5000000000000000e+00 0 -1 2377 587. -2 -3 2378
-            6.2850000000000000e+02</internalNodes>
-          <leafValues>
-            1.8354943394660950e-01 -6.3397884368896484e-01
-            3.6331036686897278e-01 -4.3740653991699219e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3099296569824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2379 5.0000000000000000e-01 0 -1 2380
-            5.5000000000000000e+00 -2 -3 2381 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0695956349372864e-01 -2.3705665767192841e-01
-            5.4972708225250244e-01 -5.1312422752380371e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3302726745605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2382 8.7050000000000000e+02 0 -1 2383
-            1.5000000000000000e+00 -2 -3 2384 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9779379963874817e-01 -6.3519412279129028e-01
-            -8.4823501110076904e-01 3.2447892427444458e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3023147583007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2385 5.0000000000000000e-01 0 -1 2386
-            3.8500000000000000e+01 -2 -3 2387 1.5775000000000000e+03</internalNodes>
-          <leafValues>
-            -2.5971448421478271e-01 5.4386669397354126e-01
-            -4.0062361955642700e-01 4.5868498086929321e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3163795471191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2388 2.7500000000000000e+01 0 -1 2389
-            5.0000000000000000e-01 -2 -3 2390 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4064319431781769e-01 -4.5721408724784851e-01
-            8.3929353952407837e-01 -5.6752306222915649e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3411483764648438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2391 3.5000000000000000e+00 0 -1 2392 21. -2 -3 2393
-            1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.8916430473327637e-01 1. 2.4769315123558044e-01
-            -4.8368823528289795e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3806152343750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2394 6.5000000000000000e+00 0 -1 2395
-            2.2500000000000000e+01 -2 -3 2396 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2384034395217896e-01 3.9466390013694763e-01
-            1.2428787350654602e-01 -5.8119755983352661e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3893051147460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2397 6.2500000000000000e+01 0 -1 2398
-            2.5000000000000000e+00 -2 -3 2399 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.6900889873504639e-02 -5.0835818052291870e-01
-            6.4387518167495728e-01 -3.4420084953308105e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4370101928710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2400 2.0250000000000000e+02 0 -1 2401
-            2.6500000000000000e+01 -2 -3 2402 1.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3534547686576843e-01 7.1747875213623047e-01
-            5.8294051885604858e-01 -2.0199438929557800e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3817878723144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2403 2.2250000000000000e+02 0 -1 2404 495. -2 -3 2405
-            1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2125439643859863e-01 4.6380558609962463e-01
-            -8.2408124208450317e-01 -5.1385825499892235e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.4274734497070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2406 5.0000000000000000e-01 0 -1 2407
-            6.5000000000000000e+00 -2 -3 2408 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.4510724544525146e-01 4.5685729384422302e-01
-            -4.1785773634910583e-01 3.7173369526863098e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4214447021484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2409 4.3515000000000000e+03 0 -1 2410
-            7.1850000000000000e+02 -2 -3 2411 6.1445000000000000e+03</internalNodes>
-          <leafValues>
-            -5.5608157068490982e-02 6.8498140573501587e-01
-            -8.1597936153411865e-01 -6.0283310711383820e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4526939392089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2412 1.5000000000000000e+00 0 -1 2413
-            4.5000000000000000e+00 -2 -3 2414 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.5446805357933044e-01 8.0654889345169067e-01
-            4.4617369771003723e-02 -4.9571081995964050e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4664260864257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2415 2.1500000000000000e+01 0 -1 2416
-            9.5000000000000000e+00 -2 -3 2417 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.5834673643112183e-01 -6.3097542524337769e-01
-            5.6628465652465820e-01 -1.0652445256710052e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4835792541503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2418 1.9500000000000000e+01 0 -1 2419
-            2.1650000000000000e+02 -2 -3 2420 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4473347663879395e-01 3.5953617095947266e-01
-            -7.8647011518478394e-01 4.7845369577407837e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5001464843750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2421 4.3350000000000000e+02 0 -1 2422
-            9.5000000000000000e+00 -2 -3 2423 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.6833075284957886e-01 1.6567093133926392e-01 1.
-            -9.3112909793853760e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5096672058105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2424 1.9500000000000000e+01 0 -1 2425
-            2.5500000000000000e+01 -2 -3 2426 2.5165000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1183577179908752e-02 5.7713252305984497e-01
-            -7.3037630319595337e-01 9.5210477709770203e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4955039978027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2427 5.5000000000000000e+00 0 -1 2428
-            8.0500000000000000e+01 -2 -3 2429 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1543654203414917e-01 -5.0912439823150635e-01
-            -6.9998091459274292e-01 1.5216259658336639e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4920089721679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2430 1.1215000000000000e+03 0 -1 2431
-            3.8850000000000000e+02 -2 -3 2432 4.1195000000000000e+03</internalNodes>
-          <leafValues>
-            4.6712434291839600e-01 -4.7107401490211487e-01
-            -8.0701512098312378e-01 -4.6098276972770691e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4982124328613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2433 1.8500000000000000e+01 0 -1 2434
-            3.5500000000000000e+01 -2 -3 2435 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.7868845462799072e-01 5.3733342885971069e-01
-            5.9916520118713379e-01 -1.3988719880580902e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5354972839355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2436 2.5000000000000000e+00 0 -1 2437
-            4.5000000000000000e+00 -2 -3 2438 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7731003016233444e-02 -8.0526626110076904e-01
-            4.1983363032341003e-01 -1.6427561640739441e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5353942871093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2439 3.8500000000000000e+01 0 -1 2440
-            5.0000000000000000e-01 -2 -3 2441 1.5250000000000000e+02</internalNodes>
-          <leafValues>
-            4.1628280282020569e-01 -5.9752076864242554e-01
-            2.2085283696651459e-01 -7.8762036561965942e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4907821655273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2442 9.5000000000000000e+00 0 -1 2443
-            5.5000000000000000e+00 -2 -3 2444 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2543123960494995e-01 2.9037654399871826e-01
-            -6.6800427436828613e-01 2.3413531482219696e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5347267150878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2445 5.0000000000000000e-01 0 -1 2446
-            7.5000000000000000e+00 -2 -3 2447 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.7953171730041504e-01 4.3944290280342102e-01
-            2.1482174098491669e-01 -4.5657783746719360e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5632286071777344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2448 1.8500000000000000e+01 0 -1 2449
-            1.0500000000000000e+01 -2 -3 2450 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2795214653015137e-01 2.8501552343368530e-01
-            -7.3039668798446655e-01 3.0266335606575012e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5784385681152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2451 5.0000000000000000e-01 0 -1 2452
-            4.5000000000000000e+00 -2 -3 2453 9.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9435759782791138e-01 2.8812354803085327e-01
-            3.0145803093910217e-01 -5.5056422948837280e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5934288024902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2454 1.2500000000000000e+01 0 -1 2455
-            1.1500000000000000e+01 -2 -3 2456 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.4109108448028564e-01 3.4966334700584412e-01
-            2.2563920915126801e-01 -6.0146200656890869e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5664039611816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2457 1.5000000000000000e+00 0 -1 2458
-            2.0500000000000000e+01 -2 -3 2459 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3995569944381714e-02 5.8523094654083252e-01
-            -6.0602784156799316e-01 9.1935232281684875e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5729660034179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2460 5.0000000000000000e-01 0 -1 2461
-            1.5000000000000000e+00 -2 -3 2462 5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9503663778305054e-01 6.0793364048004150e-01
-            -5.8376723527908325e-01 2.0124232396483421e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6041374206542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2463 2.5000000000000000e+00 0 -1 2464
-            4.5850000000000000e+02 -2 -3 2465 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1171244382858276e-01 -1. -6.6108351945877075e-01
-            2.7302114292979240e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5795768737792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2466 1.9650000000000000e+02 0 -1 2467
-            6.2950000000000000e+02 -2 -3 2468 8.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.5152391195297241e-01 6.5583813190460205e-01
-            -7.8791797161102295e-01 9.4210775569081306e-04</leafValues></_>
-        <_>
-          <treeThreshold>7.5857429504394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2469 4.5000000000000000e+00 0 -1 2470
-            8.0500000000000000e+01 -2 -3 2471 1.1845000000000000e+03</internalNodes>
-          <leafValues>
-            4.5618292689323425e-01 -2.6651117205619812e-01
-            6.1658360064029694e-02 -5.8446490764617920e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6416542053222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2472 4.0950000000000000e+02 0 -1 2473
-            1.5950000000000000e+02 -2 -3 2474 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3679732680320740e-01 6.7494618892669678e-01
-            -5.3805744647979736e-01 5.5911004543304443e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5964401245117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2475 2159. 0 -1 2476 9.5000000000000000e+00 -2 -3 2477
-            2.7550000000000000e+02</internalNodes>
-          <leafValues>
-            -9.7294098138809204e-01 3.4394034743309021e-01
-            7.5755751132965088e-01 -4.5213976502418518e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6349334716796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2478 5.0000000000000000e-01 0 -1 2479 109. -2 -3 2480
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3041268587112427e-01 3.8493672013282776e-01
-            1.9105611741542816e-01 -5.4174506664276123e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6266555786132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2481 5.7850000000000000e+02 0 -1 2482
-            1.5000000000000000e+00 -2 -3 2483 2.8750000000000000e+02</internalNodes>
-          <leafValues>
-            5.4517310857772827e-01 -8.3548069000244141e-01
-            5.4728341102600098e-01 -8.2781173288822174e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6401138305664062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2484 3.9500000000000000e+01 0 -1 2485
-            4.8500000000000000e+01 -2 -3 2486 1.5450000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2842093706130981e-01 4.5771333575248718e-01
-            5.4719090461730957e-01 -5.5783140659332275e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6629852294921875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2487 5.0000000000000000e-01 0 -1 2488
-            9.8695000000000000e+03 -2 -3 2489 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.5277694463729858e-01 -8.9051485061645508e-01
-            1.5630321204662323e-01 -5.0492966175079346e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7012748718261719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2490 3.4250000000000000e+02 0 -1 2491
-            5.0000000000000000e-01 -2 -3 2492 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            6.1497741937637329e-01 -4.2811819911003113e-01
-            -6.7799770832061768e-01 3.8289925456047058e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7173255920410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2493 6.3500000000000000e+01 0 -1 2494
-            4.2500000000000000e+01 -2 -3 2495 1.0450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.6624304056167603e-01 1.6050516068935394e-01
-            -9.2148023843765259e-01 7.9243576526641846e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7233604431152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2496 3.5000000000000000e+00 0 -1 2497
-            2.9500000000000000e+01 -2 -3 2498 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3042707443237305e-01 -7.0397478342056274e-01
-            -5.7992899417877197e-01 6.0347892343997955e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.7677680969238281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2499 7.7750000000000000e+02 0 -1 2500
-            3.5000000000000000e+00 -2 -3 2501 3.9050000000000000e+02</internalNodes>
-          <leafValues>
-            2.6784166693687439e-01 -7.3122310638427734e-01
-            6.9813531637191772e-01 -5.0064746290445328e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.7810462951660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2502 1.2500000000000000e+01 0 -1 2503 46. -2 -3 2504
-            4.7550000000000000e+02</internalNodes>
-          <leafValues>
-            7.4502938985824585e-01 -9.3451422452926636e-01
-            1.7553819715976715e-01 -6.0448014736175537e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8011604309082031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2505 5.0000000000000000e-01 0 -1 2506
-            1.5000000000000000e+00 -2 -3 2507 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5112600326538086e-01 -7.1465468406677246e-01
-            -6.2684929370880127e-01 2.0114150643348694e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7726852416992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2508 2.5000000000000000e+00 0 -1 2509
-            1.5000000000000000e+00 -2 -3 2510 2.2275000000000000e+03</internalNodes>
-          <leafValues>
-            -6.1417835950851440e-01 6.4539062976837158e-01
-            2.3531807959079742e-01 -3.7372583150863647e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7838409423828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2511 4.0435000000000000e+03 0 -1 2512
-            1.6050000000000000e+02 -2 -3 2513 12334.</internalNodes>
-          <leafValues>
-            -3.2763364911079407e-01 7.1799826622009277e-01
-            4.0013375878334045e-01 -8.6134457588195801e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7509208679199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2514 5.0000000000000000e-01 0 -1 2515
-            3.5000000000000000e+00 -2 -3 2516 4.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.3890359401702881e-01 3.9034625887870789e-01
-            3.8619524240493774e-01 -5.2792149782180786e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7868835449218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2517 5.0000000000000000e-01 0 -1 2518
-            4.5000000000000000e+00 -2 -3 2519 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.3116971850395203e-01 3.5963350534439087e-01
-            3.4538099169731140e-01 -4.9176117777824402e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8107124328613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2520 8.5000000000000000e+00 0 -1 2521 303. -2 -3 2522
-            1.3550000000000000e+02</internalNodes>
-          <leafValues>
-            3.4497961401939392e-01 -3.9331153035163879e-01
-            6.7525440454483032e-01 -6.4588183164596558e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7949096679687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2523 4.5000000000000000e+00 0 -1 2524
-            4.4500000000000000e+01 -2 -3 2525 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7561493273824453e-04 6.5230095386505127e-01
-            -5.9499686956405640e-01 2.8807112574577332e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7715606689453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2526 5.7500000000000000e+01 0 -1 2527
-            1.9500000000000000e+01 -2 -3 2528 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.3348997533321381e-01 3.4078663587570190e-01
-            8.8998430967330933e-01 -8.2743632793426514e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7412117004394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2529 1.5500000000000000e+01 0 -1 2530
-            7.5000000000000000e+00 -2 -3 2531 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8361167907714844e-01 4.6851965785026550e-01
-            7.6548218727111816e-01 -3.4992104768753052e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7919708251953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2532 1.4500000000000000e+01 0 -1 2533
-            4.3250000000000000e+02 -2 -3 2534 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6036920249462128e-01 -4.6338194608688354e-01
-            -7.4071860313415527e-01 5.0758624076843262e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7726272583007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2535 8.0500000000000000e+01 0 -1 2536
-            3.7500000000000000e+01 -2 -3 2537 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.9343656301498413e-01 3.6727836728096008e-01 1.
-            -8.6589008569717407e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8272102355957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2538 5.0000000000000000e-01 0 -1 2539
-            4.5000000000000000e+00 -2 -3 2540 658.</internalNodes>
-          <leafValues>
-            -5.3998571634292603e-01 5.4582929611206055e-01
-            -3.1522071361541748e-01 7.1490818262100220e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8563529968261719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2541 4.5000000000000000e+00 0 -1 2542
-            1.4500000000000000e+01 -2 -3 2543 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0465071201324463e-01 -4.6871420741081238e-01
-            5.3199578076601028e-02 -5.5464112758636475e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8416564941406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2544 1.3450000000000000e+02 0 -1 2545
-            1.9500000000000000e+01 -2 -3 2546 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7330028414726257e-02 -7.5999724864959717e-01
-            5.3803235292434692e-01 -1.4696989953517914e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8487602233886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2547 6.5000000000000000e+00 0 -1 2548
-            5.0000000000000000e-01 -2 -3 2549 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            7.1036763489246368e-02 -7.1582734584808350e-01
-            5.4787242412567139e-01 -1.1151381582021713e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8819152832031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2550 2.0750000000000000e+02 0 -1 2551
-            2.0735000000000000e+03 -2 -3 2552 4304.</internalNodes>
-          <leafValues>
-            2.2555717825889587e-01 -4.1814169287681580e-01
-            6.8767857551574707e-01 -2.6335984468460083e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9293106079101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2553 1.8500000000000000e+01 0 -1 2554
-            4.1500000000000000e+01 -2 -3 2555 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1884217262268066e-01 1. 4.7395563125610352e-01
-            -1.8633662164211273e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9529563903808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2556 3.3500000000000000e+01 0 -1 2557
-            1.9850000000000000e+02 -2 -3 2558 1.3050000000000000e+02</internalNodes>
-          <leafValues>
-            5.9216380119323730e-01 -7.9069614410400391e-01
-            2.3645764589309692e-01 -5.4375654458999634e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9264884948730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2559 5.2500000000000000e+01 0 -1 2560
-            6.0500000000000000e+01 -2 -3 2561 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            9.8454810678958893e-02 -6.2080347537994385e-01
-            3.8626289367675781e-01 -4.1950720548629761e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9011604309082031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2562 2.9550000000000000e+02 0 -1 2563
-            3.9500000000000000e+01 -2 -3 2564 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1641591787338257e-01 2.5828385353088379e-01
-            6.0895466804504395e-01 -5.8573886752128601e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.9083618164062500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2565 2.8500000000000000e+01 0 -1 2566
-            5.0000000000000000e-01 -2 -3 2567 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0742061138153076e-01 2.8055912256240845e-01
-            -7.9475212097167969e-01 8.2691472768783569e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9463661193847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2568 5.0000000000000000e-01 0 -1 2569
-            1.5000000000000000e+00 -2 -3 2570 6.3050000000000000e+02</internalNodes>
-          <leafValues>
-            -1.2270902097225189e-01 7.1463072299957275e-01
-            -4.2850509285926819e-01 2.2205479443073273e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9607894897460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2571 3.5000000000000000e+00 0 -1 2572
-            3.5000000000000000e+00 -2 -3 2573 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.3542063236236572e-01 5.4489326477050781e-01
-            2.0372124016284943e-01 -3.9889475703239441e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9263900756835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2574 2.7950000000000000e+02 0 -1 2575 13730. -2 -3 2576
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3570191860198975e-02 7.3383468389511108e-01
-            4.3032327294349670e-01 -3.4399634599685669e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9479598999023438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2577 3.5000000000000000e+00 0 -1 2578
-            1.6500000000000000e+01 -2 -3 2579 168.</internalNodes>
-          <leafValues>
-            5.7104247808456421e-01 -8.0473148822784424e-01
-            2.1569329500198364e-01 -8.4493541717529297e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9719924926757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2580 1.8500000000000000e+01 0 -1 2581
-            2.5500000000000000e+01 -2 -3 2582 5.8750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.7445679903030396e-01 8.1580907106399536e-01
-            -3.5785317420959473e-01 2.4033224582672119e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9651489257812500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2583 1.9750000000000000e+02 0 -1 2584
-            2.9845000000000000e+03 -2 -3 2585 8.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2534831464290619e-02 6.7511278390884399e-01
-            5.5172812938690186e-01 -4.6909588575363159e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9875663757324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2586 4.3500000000000000e+01 0 -1 2587
-            3.0350000000000000e+02 -2 -3 2588 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0566140413284302e-01 2.2416961193084717e-01
-            6.5261769294738770e-01 -7.8972738981246948e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9825202941894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2589 1.8500000000000000e+01 0 -1 2590
-            7.8500000000000000e+01 -2 -3 2591 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0458520650863647e-02 6.2098169326782227e-01
-            -6.2433195114135742e-01 7.0211088657379150e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9897819519042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2592 5.0000000000000000e-01 0 -1 2593
-            7.5000000000000000e+00 -2 -3 2594 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5179387927055359e-01 4.7666555643081665e-01
-            -5.4754704236984253e-01 7.9487584531307220e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.0220909118652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2595 1.5000000000000000e+00 0 -1 2596
-            3.5000000000000000e+00 -2 -3 2597 2.3025000000000000e+03</internalNodes>
-          <leafValues>
-            5.9295910596847534e-01 -4.7368842363357544e-01
-            3.2309135794639587e-01 -3.6595731973648071e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0416793823242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2598 5.7650000000000000e+02 0 -1 2599
-            6.8250000000000000e+02 -2 -3 2600 423.</internalNodes>
-          <leafValues>
-            -8.3457779884338379e-01 9.4248223304748535e-01
-            1.9588518142700195e-01 -8.9797055721282959e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0621925354003906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2601 4.3500000000000000e+01 0 -1 2602
-            4.5000000000000000e+00 -2 -3 2603 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.7445579767227173e-01 -7.1823668479919434e-01
-            -8.5307145118713379e-01 2.0513093471527100e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0483642578125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2604 1.5000000000000000e+00 0 -1 2605
-            1.3500000000000000e+01 -2 -3 2606 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1219720840454102e-01 2.1613596379756927e-01
-            8.3621460199356079e-01 -6.8892109394073486e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0708099365234375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2607 1.5000000000000000e+00 0 -1 2608
-            1.5000000000000000e+00 -2 -3 2609 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.5658573508262634e-01 4.5419740676879883e-01
-            3.7913042306900024e-01 -4.2572236061096191e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0967964172363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2610 1.7225000000000000e+03 0 -1 2611 904. -2 -3 2612
-            48.</internalNodes>
-          <leafValues>
-            -4.9103862047195435e-01 2.5986543297767639e-01
-            -6.5187561511993408e-01 7.3263108730316162e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1015785217285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2613 8.5500000000000000e+01 0 -1 2614
-            3.2500000000000000e+01 -2 -3 2615 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0590304732322693e-01 -6.0726463794708252e-01
-            4.5478045940399170e-01 -2.1701261401176453e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1222023010253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2616 1.1500000000000000e+01 0 -1 2617
-            3.5000000000000000e+00 -2 -3 2618 570.</internalNodes>
-          <leafValues>
-            4.0577322244644165e-01 -2.8158581256866455e-01
-            -7.0219916105270386e-01 7.8437590599060059e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1114990234375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2619 1.5000000000000000e+00 0 -1 2620
-            5.0000000000000000e-01 -2 -3 2621 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.7717106342315674e-01 -8.8117665052413940e-01
-            3.8160988688468933e-01 -1.6836205124855042e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0563499450683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2622 2.5500000000000000e+01 0 -1 2623
-            1.2500000000000000e+01 -2 -3 2624 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5149054527282715e-01 3.2653099298477173e-01
-            3.5567849874496460e-01 -6.7506045103073120e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1009407043457031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2625 3.5000000000000000e+00 0 -1 2626
-            2.2985000000000000e+03 -2 -3 2627 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.4590899348258972e-01 -2.8159150481224060e-01
-            -5.6732189655303955e-01 2.0876012742519379e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1270759582519531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2628 1.3500000000000000e+01 0 -1 2629
-            4.4500000000000000e+01 -2 -3 2630 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7286604642868042e-01 -7.5421804189682007e-01
-            2.6134765148162842e-01 -5.9037572145462036e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1395576477050781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2631 4.4750000000000000e+02 0 -1 2632
-            1.9500000000000000e+01 -2 -3 2633 2.7965000000000000e+03</internalNodes>
-          <leafValues>
-            1.2481955438852310e-01 -4.5122003555297852e-01
-            7.7366709709167480e-01 -3.6004805564880371e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1301132202148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2634 2.5000000000000000e+00 0 -1 2635 6. -2 -3 2636
-            1.3995000000000000e+03</internalNodes>
-          <leafValues>
-            1. -1. 4.4335600733757019e-01 -9.4446659088134766e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.1370132446289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2637 4.1250000000000000e+02 0 -1 2638
-            1.5000000000000000e+00 -2 -3 2639 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9000430405139923e-02 -4.9422886967658997e-01
-            -9.1928571462631226e-01 4.6428659558296204e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1621879577636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2640 2.8500000000000000e+01 0 -1 2641
-            2.6500000000000000e+01 -2 -3 2642 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7164541482925415e-01 2.5174945592880249e-01
-            1.3210830092430115e-01 -8.8470876216888428e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2271644592285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2643 2.5000000000000000e+00 0 -1 2644
-            1.0500000000000000e+01 -2 -3 2645 86.</internalNodes>
-          <leafValues>
-            -6.9350771605968475e-02 6.4976197481155396e-01
-            -7.7881592512130737e-01 -6.0378432273864746e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.2486991882324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2646 2.7500000000000000e+01 0 -1 2647
-            4.5000000000000000e+00 -2 -3 2648 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2361882925033569e-01 3.2168322801589966e-01
-            2.4581556022167206e-01 -5.5088657140731812e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2648330688476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2649 1.1500000000000000e+01 0 -1 2650
-            2.5000000000000000e+00 -2 -3 2651 552.</internalNodes>
-          <leafValues>
-            5.5005900561809540e-02 -6.6145080327987671e-01
-            -9.3321514129638672e-01 2.9643073678016663e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2730377197265625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2652 1835. 0 -1 2653 9026. -2 -3 2654
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.2883286476135254e-01 9.0321773290634155e-01
-            8.2042239606380463e-02 -4.4094491004943848e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2976600646972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2655 7.5000000000000000e+00 0 -1 2656 27. -2 -3 2657
-            7.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6883772611618042e-01 8.2824200391769409e-01
-            2.4622967839241028e-01 -7.1693640947341919e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2621650695800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2658 8.5000000000000000e+00 0 -1 2659
-            5.0000000000000000e-01 -2 -3 2660 55.</internalNodes>
-          <leafValues>
-            2.1821559965610504e-01 -3.5495325922966003e-01
-            -5.7552605867385864e-01 6.4010292291641235e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2944847106933594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2661 5.5000000000000000e+00 0 -1 2662 9109. -2 -3 2663
-            3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6217045038938522e-02 -6.7411881685256958e-01
-            4.6031165122985840e-01 -1.3432784378528595e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2844596862792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2664 4.5000000000000000e+00 0 -1 2665
-            1.9500000000000000e+01 -2 -3 2666 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.6067945957183838e-01 6.5172028541564941e-01
-            5.3896325826644897e-01 -1.0024529695510864e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2988021850585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2667 2.3500000000000000e+01 0 -1 2668
-            3.5000000000000000e+00 -2 -3 2669 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6205202341079712e-01 -4.8302540183067322e-01
-            -3.1453946232795715e-01 4.5836016535758972e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3242561340332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2670 9.0500000000000000e+01 0 -1 2671
-            4.1500000000000000e+01 -2 -3 2672 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5454065203666687e-01 -3.1304958462715149e-01
-            -9.7736436128616333e-01 6.2847685813903809e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3276382446289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2673 1.7500000000000000e+01 0 -1 2674
-            8.3500000000000000e+01 -2 -3 2675 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.6938213109970093e-01 -9.2754542827606201e-01
-            3.0042541027069092e-01 -2.8111898899078369e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2934799194335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2676 3.3500000000000000e+01 0 -1 2677
-            3.6050000000000000e+02 -2 -3 2678 94.</internalNodes>
-          <leafValues>
-            -3.8239040970802307e-01 1.4262221753597260e-01
-            7.1967273950576782e-01 -7.4638730287551880e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3355155944824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2679 6.5000000000000000e+00 0 -1 2680 25. -2 -3 2681
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2031919956207275e-01 1. 4.2035222053527832e-01
-            -1.8400678038597107e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3341117858886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2682 2.7550000000000000e+02 0 -1 2683
-            3.9500000000000000e+01 -2 -3 2684 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1554982066154480e-01 2.4787786602973938e-01
-            -9.8996192216873169e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.3088867187500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2685 5.0000000000000000e-01 0 -1 2686
-            3.4500000000000000e+01 -2 -3 2687 3.3250000000000000e+02</internalNodes>
-          <leafValues>
-            7.6295363903045654e-01 -3.0974990129470825e-01
-            -2.5224679708480835e-01 6.2690478563308716e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3444519042968750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2688 1.5000000000000000e+00 0 -1 2689
-            6.6500000000000000e+01 -2 -3 2690 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.7374388575553894e-01 3.5564544796943665e-01
-            2.2661061584949493e-01 -5.4821664094924927e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3531219482421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2691 1.5450000000000000e+02 0 -1 2692
-            3.2500000000000000e+01 -2 -3 2693 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.1394637227058411e-01 8.1045120954513550e-01
-            -4.8737204074859619e-01 8.6701557040214539e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.3356086730957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2694 3.5000000000000000e+00 0 -1 2695
-            9.5000000000000000e+00 -2 -3 2696 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3526990562677383e-02 5.4166865348815918e-01
-            -6.0305202007293701e-01 7.6919454336166382e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3536964416503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2697 2.7950000000000000e+02 0 -1 2698
-            2.1500000000000000e+01 -2 -3 2699 3.5045000000000000e+03</internalNodes>
-          <leafValues>
-            -4.9123385548591614e-01 5.2362555265426636e-01
-            -7.9040545225143433e-01 -3.3013910055160522e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.3796424865722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2700 9.5000000000000000e+00 0 -1 2701
-            4.5000000000000000e+00 -2 -3 2702 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8670431971549988e-01 -2.3416480422019958e-01
-            -4.7568261623382568e-01 2.2792084515094757e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4059371948242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2703 5.5500000000000000e+01 0 -1 2704
-            5.0000000000000000e-01 -2 -3 2705 3.9185000000000000e+03</internalNodes>
-          <leafValues>
-            2.2618722915649414e-01 -9.2116522789001465e-01
-            -3.2166120409965515e-01 2.6295122504234314e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4028038024902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2706 1.1500000000000000e+01 0 -1 2707 15. -2 -3 2708
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.7838518619537354e-01 -8.4853267669677734e-01
-            3.6655527353286743e-01 -1.8356652557849884e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3846260070800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2709 5.5000000000000000e+00 0 -1 2710 325. -2 -3 2711
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7982141971588135e-01 1. 3.4321373701095581e-01
-            -1.8177768588066101e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4174667358398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2712 9.5000000000000000e+00 0 -1 2713
-            1.9050000000000000e+02 -2 -3 2714 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9107550382614136e-01 -7.7517443895339966e-01
-            5.7090425491333008e-01 -1.1606752872467041e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4324356079101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2715 2.7500000000000000e+01 0 -1 2716
-            4.0885000000000000e+03 -2 -3 2717 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.7019419670104980e-01 -8.7088418006896973e-01
-            2.1278975903987885e-01 -4.6584972739219666e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4102806091308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2718 2.1250000000000000e+02 0 -1 2719
-            5.6500000000000000e+01 -2 -3 2720 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.1476839482784271e-01 -4.4505792856216431e-01 1.
-            -7.7488011121749878e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4038200378417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2721 9.4500000000000000e+01 0 -1 2722
-            1.5000000000000000e+00 -2 -3 2723 98.</internalNodes>
-          <leafValues>
-            1.9173437356948853e-01 -5.0092142820358276e-01
-            -4.4755691289901733e-01 4.7253641486167908e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4137344360351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2724 1.1515000000000000e+03 0 -1 2725
-            2.0050000000000000e+02 -2 -3 2726 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2353651523590088e-02 5.8139425516128540e-01
-            3.6044213920831680e-02 -6.4356809854507446e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4309326171875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2727 1.0500000000000000e+01 0 -1 2728 2663. -2 -3 2729
-            2.4250000000000000e+02</internalNodes>
-          <leafValues>
-            4.7916080802679062e-02 -5.9066039323806763e-01
-            7.3575264215469360e-01 -8.9028924703598022e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4420402526855469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2730 5.4665000000000000e+03 0 -1 2731
-            1.5000000000000000e+00 -2 -3 2732 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7950283885002136e-01 -2.4711169302463531e-01
-            -9.4440460205078125e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.4394798278808594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2733 1.1050000000000000e+02 0 -1 2734 63. -2 -3 2735
-            6.4650000000000000e+02</internalNodes>
-          <leafValues>
-            4.1327634453773499e-01 -8.2762449979782104e-01
-            -2.5601835921406746e-02 7.5820297002792358e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4607276916503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2736 2.5000000000000000e+00 0 -1 2737
-            2.5500000000000000e+01 -2 -3 2738 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.7000726908445358e-02 6.8266022205352783e-01
-            1.4960629865527153e-02 -6.4148795604705811e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5164596557617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2739 5.3500000000000000e+01 0 -1 2740
-            2.9500000000000000e+01 -2 -3 2741 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.2329825013875961e-01 5.5731654167175293e-01
-            -8.3035022020339966e-01 7.4285131692886353e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5318458557128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2742 6.0500000000000000e+01 0 -1 2743
-            5.5750000000000000e+02 -2 -3 2744 2.4455000000000000e+03</internalNodes>
-          <leafValues>
-            -9.1876357793807983e-01 1.5386807918548584e-01 1.
-            -8.4595882892608643e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5138092041015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2745 1.4500000000000000e+01 0 -1 2746 133. -2 -3 2747
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.3546825647354126e-01 -7.7808952331542969e-01
-            4.2497289180755615e-01 -1.8036651611328125e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5170181274414062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2748 2.6500000000000000e+01 0 -1 2749
-            1.6500000000000000e+01 -2 -3 2750 3.0550000000000000e+02</internalNodes>
-          <leafValues>
-            9.9500669166445732e-03 -6.0836273431777954e-01
-            5.2151191234588623e-01 -3.4265536069869995e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5376792907714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2751 3.5000000000000000e+00 0 -1 2752
-            1.6500000000000000e+01 -2 -3 2753 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3600571155548096e-01 -8.0105257034301758e-01
-            -5.1988095045089722e-01 2.0660850405693054e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5609893798828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2754 1.0500000000000000e+01 0 -1 2755
-            1.5000000000000000e+00 -2 -3 2756 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.2382709980010986e-01 4.6645849943161011e-01
-            3.5961329936981201e-02 -5.3663784265518188e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5939903259277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2757 9.5500000000000000e+01 0 -1 2758 11828. -2 -3 2759
-            3.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1205846965312958e-02 -9.5047873258590698e-01
-            3.3001002669334412e-01 -5.8486175537109375e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5633140563964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2760 1.5000000000000000e+00 0 -1 2761
-            7.5000000000000000e+00 -2 -3 2762 1.5605000000000000e+03</internalNodes>
-          <leafValues>
-            -1.8193472921848297e-01 5.5474883317947388e-01
-            6.6240763664245605e-01 -3.6709865927696228e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5665580749511719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2763 5.0000000000000000e-01 0 -1 2764
-            3.5000000000000000e+00 -2 -3 2765 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3473922014236450e-01 4.5258450508117676e-01
-            -6.2842214107513428e-01 3.2442636787891388e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.5813781738281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2766 1.8050000000000000e+02 0 -1 2767
-            1.5000000000000000e+00 -2 -3 2768 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1317859888076782e-01 1.4819937944412231e-01
-            7.9641395807266235e-01 -9.0252667665481567e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6130287170410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2769 2.5000000000000000e+00 0 -1 2770
-            1.5000000000000000e+00 -2 -3 2771 1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.2908695936203003e-01 6.0830992460250854e-01
-            -3.5930514335632324e-01 2.5600242614746094e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5960426330566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2772 3.5000000000000000e+00 0 -1 2773
-            2.5000000000000000e+00 -2 -3 2774 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.0980219841003418e-01 -8.7654078006744385e-01
-            3.7149679660797119e-01 -1.6985960304737091e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5911773681640625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2775 2.0750000000000000e+02 0 -1 2776
-            2.5000000000000000e+00 -2 -3 2777 4.0550000000000000e+02</internalNodes>
-          <leafValues>
-            6.4895875751972198e-02 -5.2602392435073853e-01
-            8.3245736360549927e-01 -4.8650942742824554e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.6134010314941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2778 6.2500000000000000e+01 0 -1 2779
-            3.6650000000000000e+02 -2 -3 2780 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.8410977125167847e-01 2.2223210334777832e-01
-            -8.4461647272109985e-01 7.4402904510498047e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6428909301757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2781 2.5000000000000000e+00 0 -1 2782
-            6.5000000000000000e+00 -2 -3 2783 4.1750000000000000e+02</internalNodes>
-          <leafValues>
-            5.1555430889129639e-01 -1.5588639676570892e-01
-            1.7773015797138214e-01 -5.0610744953155518e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6826782226562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2784 1.5505000000000000e+03 0 -1 2785
-            5.0000000000000000e-01 -2 -3 2786 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5983416438102722e-01 -5.7004302740097046e-01
-            -5.4764652252197266e-01 3.9787346124649048e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7037475585937500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2787 5.0000000000000000e-01 0 -1 2788
-            8.5000000000000000e+00 -2 -3 2789 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.9977160692214966e-01 3.6234867572784424e-01
-            2.8641289472579956e-01 -4.9720412492752075e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6423477172851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2790 1.4500000000000000e+01 0 -1 2791 47. -2 -3 2792
-            3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9334439635276794e-01 -7.6565510034561157e-01
-            2.7979478240013123e-01 -3.8790243864059448e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6541648864746094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2793 3.8500000000000000e+01 0 -1 2794
-            1.5000000000000000e+00 -2 -3 2795 2.0850000000000000e+02</internalNodes>
-          <leafValues>
-            1.1817480623722076e-01 -4.9608191847801208e-01
-            4.3412643671035767e-01 -8.0814820528030396e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6554786682128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2796 5.0000000000000000e-01 0 -1 2797
-            5.0000000000000000e-01 -2 -3 2798 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7674239873886108e-01 4.3930459022521973e-01
-            1.3139089569449425e-02 -6.7160016298294067e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6836524963378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2799 2.1500000000000000e+01 0 -1 2800
-            3.2750000000000000e+02 -2 -3 2801 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1266799569129944e-01 6.9435644149780273e-01
-            -5.9980082511901855e-01 6.5070140361785889e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6815773010253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2802 9.8850000000000000e+02 0 -1 2803
-            4.5000000000000000e+00 -2 -3 2804 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5975960493087769e-01 -1.4526490122079849e-02
-            -4.3337148427963257e-01 3.4662330150604248e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6753486633300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2805 5.8750000000000000e+02 0 -1 2806
-            4.0050000000000000e+02 -2 -3 2807 5.8550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1701253652572632e-01 8.5829895734786987e-01
-            6.8487954139709473e-01 -6.2283929437398911e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7153579711914062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2808 5.0000000000000000e-01 0 -1 2809
-            2.5000000000000000e+00 -2 -3 2810 9.3050000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2558873891830444e-01 4.3454471230506897e-01
-            -8.1130824983119965e-02 -8.3618861436843872e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7351936340332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2811 3.5000000000000000e+00 0 -1 2812
-            7.5000000000000000e+00 -2 -3 2813 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.6148520708084106e-01 4.0121293067932129e-01
-            1.6389970481395721e-01 -5.4697543382644653e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7288108825683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2814 9.8500000000000000e+01 0 -1 2815
-            1.5000000000000000e+00 -2 -3 2816 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.0000725388526917e-01 -5.5716449022293091e-01
-            6.8792611360549927e-01 -6.3822388648986816e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7567855834960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2817 1.2500000000000000e+01 0 -1 2818
-            5.5000000000000000e+00 -2 -3 2819 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.0839080810546875e-01 2.7974289655685425e-01
-            -9.0464597940444946e-01 -9.1534465551376343e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7742805480957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2820 2.9050000000000000e+02 0 -1 2821
-            4.0350000000000000e+02 -2 -3 2822 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.1221635341644287e-01 6.0925048589706421e-01
-            3.3704385161399841e-01 -5.3282082080841064e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7797904968261719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2823 1.4500000000000000e+01 0 -1 2824 1690. -2 -3 2825
-            7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5097710341215134e-02 -8.7218642234802246e-01
-            -7.2020220756530762e-01 3.5318741202354431e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8284759521484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2826 2.2450000000000000e+02 0 -1 2827
-            1.9500000000000000e+01 -2 -3 2828 1.9535000000000000e+03</internalNodes>
-          <leafValues>
-            -1.3064707815647125e-01 4.8685196042060852e-01
-            -8.4640699625015259e-01 1.8381766974925995e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8222618103027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2829 5.0000000000000000e-01 0 -1 2830
-            1.2500000000000000e+01 -2 -3 2831 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3857803344726562e-01 5.4414546489715576e-01
-            1.8226167559623718e-01 -5.0997644662857056e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8490211486816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2832 8.5000000000000000e+00 0 -1 2833 1990. -2 -3 2834
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.3869510889053345e-01 8.5612648725509644e-01
-            6.6255128383636475e-01 -1.8713159859180450e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8309280395507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2835 5.0000000000000000e-01 0 -1 2836
-            1.5350000000000000e+02 -2 -3 2837 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7325781583786011e-01 -9.1693335771560669e-01
-            -3.7281343340873718e-01 4.3598929047584534e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8545036315917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2838 2.5000000000000000e+00 0 -1 2839
-            3.5000000000000000e+00 -2 -3 2840 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1305176019668579e-01 2.3575115203857422e-01
-            8.2359343767166138e-01 -5.0804460048675537e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8620689392089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2841 4.7950000000000000e+02 0 -1 2842
-            7.4550000000000000e+02 -2 -3 2843 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 5.5236303806304932e-01 -4.9426826834678650e-01
-            7.5652711093425751e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.8498481750488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2844 5.0000000000000000e-01 0 -1 2845
-            5.0000000000000000e-01 -2 -3 2846 9.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3736324310302734e-01 3.9632564783096313e-01
-            -7.2766882181167603e-01 4.8122378066182137e-03</leafValues></_>
-        <_>
-          <treeThreshold>8.8912002563476562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2847 3.5000000000000000e+00 0 -1 2848
-            5.0000000000000000e-01 -2 -3 2849 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.1133011579513550e-01 -1.0473229736089706e-01
-            3.0710890889167786e-01 -4.0350064635276794e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9316238403320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2850 1.6500000000000000e+01 0 -1 2851
-            1.5000000000000000e+00 -2 -3 2852 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.4607600001618266e-04 -7.6641041040420532e-01
-            -3.1311124563217163e-01 4.4425663352012634e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9348419189453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2853 1.1500000000000000e+01 0 -1 2854
-            1.7500000000000000e+01 -2 -3 2855 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.8593395948410034e-01 1. 2.4410592019557953e-01
-            -3.1496018171310425e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9189270019531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2856 1.6500000000000000e+01 0 -1 2857
-            6.5000000000000000e+00 -2 -3 2858 74.</internalNodes>
-          <leafValues>
-            8.4461316466331482e-02 -4.1109508275985718e-01
-            9.0820807218551636e-01 -3.5371799021959305e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.9124603271484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2859 5.8750000000000000e+02 0 -1 2860 9863. -2 -3 2861
-            1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3491946458816528e-01 4.8731520771980286e-01
-            -5.2020323276519775e-01 3.2958313822746277e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9286071777343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2862 9.7500000000000000e+01 0 -1 2863
-            2.1950000000000000e+02 -2 -3 2864 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.2516252398490906e-01 -1. 2.8237330913543701e-01
-            -5.0328004360198975e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9424316406250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2865 5.2500000000000000e+01 0 -1 2866 61. -2 -3 2867
-            1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0655448436737061e-01 -5.1969325542449951e-01
-            3.5390514135360718e-01 -4.7365185618400574e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9726875305175781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2868 5.8500000000000000e+01 0 -1 2869
-            1.4500000000000000e+01 -2 -3 2870 42.</internalNodes>
-          <leafValues>
-            3.0255803465843201e-01 -2.0427562296390533e-01
-            -8.5021793842315674e-01 7.0594644546508789e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9578895568847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2871 1.0500000000000000e+01 0 -1 2872
-            1.1950000000000000e+02 -2 -3 2873 24.</internalNodes>
-          <leafValues>
-            -2.4734574556350708e-01 3.1361401081085205e-01
-            8.7930864095687866e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>8.9768898010253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2874 7.5000000000000000e+00 0 -1 2875
-            7.4500000000000000e+01 -2 -3 2876 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1221041083335876e-01 -7.0097410678863525e-01
-            2.4191275238990784e-01 -5.3588688373565674e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9684265136718750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2877 3.5000000000000000e+00 0 -1 2878
-            2.7950000000000000e+02 -2 -3 2879 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2314370274543762e-01 -6.7686629295349121e-01
-            -3.6168605089187622e-01 3.5209780931472778e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9795585632324219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2880 2.1050000000000000e+02 0 -1 2881
-            3.5000000000000000e+00 -2 -3 2882 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2586346864700317e-01 -3.2540410757064819e-01
-            -8.8829517364501953e-01 4.9435129761695862e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9792076110839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2883 2.5000000000000000e+00 0 -1 2884
-            2.9500000000000000e+01 -2 -3 2885 3.9250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1523008346557617e-01 3.7085807323455811e-01
-            9.0023398399353027e-02 -6.0440886020660400e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9958946228027344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2886 1.0500000000000000e+01 0 -1 2887
-            1.2500000000000000e+01 -2 -3 2888 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9052956104278564e-01 2.1934990584850311e-01
-            -5.8395588397979736e-01 5.4426544904708862e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9670410156250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2889 1.5000000000000000e+00 0 -1 2890
-            2.5000000000000000e+00 -2 -3 2891 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.5811334848403931e-01 5.2128863334655762e-01
-            -3.4101697802543640e-01 2.6454553008079529e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9847396850585938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2892 1.4500000000000000e+01 0 -1 2893
-            1.1500000000000000e+01 -2 -3 2894 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8977336883544922e-01 4.3855726718902588e-01
-            -5.0296223163604736e-01 1.7698343098163605e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0157752990722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2895 5.0000000000000000e-01 0 -1 2896
-            8.5000000000000000e+00 -2 -3 2897 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.1999164223670959e-01 3.1035554409027100e-01
-            2.2039012610912323e-01 -5.3406608104705811e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0098411560058594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2898 5.0000000000000000e-01 0 -1 2899
-            2.1750000000000000e+02 -2 -3 2900 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9334795922040939e-02 6.7584723234176636e-01
-            -5.2655130624771118e-01 2.6948010921478271e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0537551879882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2901 5.0000000000000000e-01 0 -1 2902
-            7.5000000000000000e+00 -2 -3 2903 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9564437866210938e-01 4.3913722038269043e-01
-            -3.6194628477096558e-01 3.8801836967468262e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0335647583007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2904 1.5000000000000000e+00 0 -1 2905
-            5.4550000000000000e+02 -2 -3 2906 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.8192542791366577e-01 3.3667489886283875e-01
-            -2.0190110802650452e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0692535400390625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2907 1.5000000000000000e+00 0 -1 2908
-            8.5000000000000000e+00 -2 -3 2909 344.</internalNodes>
-          <leafValues>
-            -4.5181885361671448e-01 3.5688367486000061e-01
-            -5.9278815984725952e-01 6.4385175704956055e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0584419250488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2910 4.6500000000000000e+01 0 -1 2911
-            2.5000000000000000e+00 -2 -3 2912 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3527498841285706e-01 -1.0811836272478104e-01
-            -6.3831877708435059e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.0788459777832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2913 294. 0 -1 2914 14. -2 -3 2915
-            4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4630513191223145e-01 1. 2.0404133200645447e-01
-            -4.8527365922927856e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0862548828125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2916 3.3500000000000000e+01 0 -1 2917 52. -2 -3 2918
-            5.2705000000000000e+03</internalNodes>
-          <leafValues>
-            7.2816586494445801e-01 -5.4465806484222412e-01
-            -1.1197114735841751e-01 5.4565620422363281e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0902687072753906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2919 4.1050000000000000e+02 0 -1 2920 139. -2 -3 2921
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1185075044631958e-01 6.4714074134826660e-01
-            1.9417783617973328e-01 -3.6837339401245117e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0985298156738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2922 5.7650000000000000e+02 0 -1 2923
-            2.9450000000000000e+02 -2 -3 2924 3.9150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.4534245729446411e-01 1. 4.4867873191833496e-01
-            -1.7172452807426453e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1107513427734375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2925 3.5000000000000000e+00 0 -1 2926
-            1.5500000000000000e+01 -2 -3 2927 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3989793062210083e-01 8.9864379167556763e-01
-            2.8704452514648438e-01 -2.8833448886871338e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1266738891601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2928 4.9775000000000000e+03 0 -1 2929
-            4.5000000000000000e+00 -2 -3 2930 1.9865000000000000e+03</internalNodes>
-          <leafValues>
-            -7.4095195531845093e-01 1.5922544896602631e-01
-            -9.0941101312637329e-01 1.8585844337940216e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1225799560546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2931 5.0000000000000000e-01 0 -1 2932
-            4.5000000000000000e+00 -2 -3 2933 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6407551765441895e-01 5.0083768367767334e-01
-            -7.2587943077087402e-01 -5.0088282674551010e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0573638916015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2934 8.5000000000000000e+00 0 -1 2935
-            2.7500000000000000e+01 -2 -3 2936 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.4017934501171112e-02 5.9898555278778076e-01
-            1.7782434821128845e-01 -6.5216350555419922e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0737045288085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2937 5.0000000000000000e-01 0 -1 2938
-            1.0450000000000000e+02 -2 -3 2939 1.6950000000000000e+02</internalNodes>
-          <leafValues>
-            6.0130667686462402e-01 -9.1431754827499390e-01
-            -4.1352280974388123e-01 1.6340811550617218e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1356544494628906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2940 1.5000000000000000e+00 0 -1 2941
-            7.5000000000000000e+00 -2 -3 2942 1.6805000000000000e+03</internalNodes>
-          <leafValues>
-            -2.0215752720832825e-01 6.1950212717056274e-01
-            -5.5768364667892456e-01 3.5280909389257431e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.0944335937500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2943 1.1155000000000000e+03 0 -1 2944
-            1.3500000000000000e+01 -2 -3 2945 4.1950000000000000e+02</internalNodes>
-          <leafValues>
-            6.8771177530288696e-01 -9.7811706364154816e-02
-            -4.1221308708190918e-01 1.9626976549625397e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1227783203125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2946 1.7535000000000000e+03 0 -1 2947
-            6.5000000000000000e+00 -2 -3 2948 8.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8345218300819397e-01 -2.8811171650886536e-01
-            -9.1736477613449097e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>9.1561256408691406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2949 3.9500000000000000e+01 0 -1 2950 169. -2 -3 2951
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5076478719711304e-01 8.8347315788269043e-01
-            3.4602180123329163e-01 -2.1803687512874603e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0775177001953125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2952 1.2550000000000000e+02 0 -1 2953
-            8.5000000000000000e+00 -2 -3 2954 156.</internalNodes>
-          <leafValues>
-            -3.8729524612426758e-01 2.9583999514579773e-01
-            -7.9863160848617554e-01 3.9145687222480774e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1042625427246094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2955 2.5000000000000000e+00 0 -1 2956
-            2.5750000000000000e+02 -2 -3 2957 4685.</internalNodes>
-          <leafValues>
-            2.6745319366455078e-01 -6.6209262609481812e-01
-            -7.7674686908721924e-01 7.1668751537799835e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.1575469970703125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2958 1.0500000000000000e+01 0 -1 2959
-            1.0550000000000000e+02 -2 -3 2960 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.3284192085266113e-01 -3.2092022895812988e-01
-            -9.5425200462341309e-01 5.0468903779983521e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.1930732727050781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2961 1.2500000000000000e+01 0 -1 2962
-            1.8950000000000000e+02 -2 -3 2963 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.8867003321647644e-01 3.5526236891746521e-01
-            2.9676264524459839e-01 -6.0322642326354980e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2231742858886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2964 7.5000000000000000e+00 0 -1 2965
-            1.9500000000000000e+01 -2 -3 2966 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3552119731903076e-01 3.0101212859153748e-01
-            -5.0962239503860474e-01 5.0894033908843994e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2388069152832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2967 1.1500000000000000e+01 0 -1 2968
-            1.5000000000000000e+00 -2 -3 2969 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5632244944572449e-01 -4.4891685247421265e-01
-            6.4296531677246094e-01 -5.9720402956008911e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2552001953125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2970 1.0675000000000000e+03 0 -1 2971
-            4.3756500000000000e+04 -2 -3 2972 4.9450000000000000e+02</internalNodes>
-          <leafValues>
-            -1. 8.0944263935089111e-01 -3.8900658488273621e-01
-            1.6393135488033295e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2899009704589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2973 2.5000000000000000e+00 0 -1 2974
-            1.4055000000000000e+03 -2 -3 2975 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6320782899856567e-01 -5.9554386138916016e-01
-            -7.9579621553421021e-01 3.4700983762741089e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2847854614257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2976 8.5500000000000000e+01 0 -1 2977
-            1.2550000000000000e+02 -2 -3 2978 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 9.6116375923156738e-01 2.2865201532840729e-01
-            -2.7930772304534912e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2859100341796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2979 1.1350000000000000e+02 0 -1 2980
-            2.0500000000000000e+01 -2 -3 2981 1.6150000000000000e+02</internalNodes>
-          <leafValues>
-            1.7545458674430847e-01 -7.0411294698715210e-01
-            3.2774302363395691e-01 -6.4024138450622559e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2426673889160156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2982 2.5000000000000000e+00 0 -1 2983
-            2.7500000000000000e+01 -2 -3 2984 1.0350000000000000e+02</internalNodes>
-          <leafValues>
-            6.4859634637832642e-01 -6.6807705163955688e-01
-            2.5129410624504089e-01 -4.3242052197456360e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2854904174804688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2985 3.0050000000000000e+02 0 -1 2986 333. -2 -3 2987
-            3.2045000000000000e+03</internalNodes>
-          <leafValues>
-            -3.9532727003097534e-01 8.3435887098312378e-01
-            4.2823007702827454e-01 -3.9525333046913147e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3196861267089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2988 2.5000000000000000e+00 0 -1 2989
-            6.5000000000000000e+00 -2 -3 2990 4.8895000000000000e+03</internalNodes>
-          <leafValues>
-            -8.9721941947937012e-01 3.4195712208747864e-01
-            6.4947992563247681e-01 -4.5169207453727722e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3306480407714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2991 2.7500000000000000e+01 0 -1 2992
-            1.5000000000000000e+00 -2 -3 2993 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0962056368589401e-01 -4.2897370457649231e-01
-            9.1374301910400391e-01 -6.3376551866531372e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3460906982421875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2994 1.0500000000000000e+01 0 -1 2995
-            3.5000000000000000e+00 -2 -3 2996 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.2791311144828796e-01 -5.2986472845077515e-01
-            4.5877307653427124e-01 -1.7966294288635254e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3358589172363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2997 3.4500000000000000e+01 0 -1 2998 222. -2 -3 2999
-            2.0750000000000000e+02</internalNodes>
-          <leafValues>
-            7.5331348180770874e-01 -9.4210654497146606e-01
-            -1.0231721401214600e-01 4.7118717432022095e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3666183471679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 3000 2.2500000000000000e+01 0 -1 3001
-            1.8450000000000000e+02 -2 -3 3002 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.5824659466743469e-01 3.0759900808334351e-01
-            6.4143782854080200e-01 -6.5782296657562256e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3088340759277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 3003 1.3350000000000000e+02 0 -1 3004 830. -2 -3 3005
-            2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9563269615173340e-01 6.3497310876846313e-01
-            -5.7784938812255859e-01 6.1700064688920975e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.2995674133300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 3006 4.5500000000000000e+01 0 -1 3007
-            1.5000000000000000e+00 -2 -3 3008 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5369678735733032e-01 -9.2660412192344666e-02
-            -7.4712693691253662e-01 6.0710644721984863e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2739532470703125e+01</treeThreshold>
-          <internalNodes>
-            1 2 3009 1.2950000000000000e+02 0 -1 3010 1144. -2 -3 3011
-            4.2850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.0763772726058960e-01 9.4605678319931030e-01
-            -2.5614449381828308e-01 4.1044127941131592e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2615875244140625e+01</treeThreshold>
-          <internalNodes>
-            1 2 3012 2.3500000000000000e+01 0 -1 3013 36. -2 -3 3014
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            8.3025622367858887e-01 -8.2933390140533447e-01
-            4.6695771813392639e-01 -1.2365625053644180e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3196029663085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 3015 2.0450000000000000e+02 0 -1 3016
-            1.0500000000000000e+01 -2 -3 3017 524.</internalNodes>
-          <leafValues>
-            -1.5761210024356842e-01 5.8015257120132446e-01
-            -8.8289064168930054e-01 2.2438578307628632e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3732429504394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 3018 3.3500000000000000e+01 0 -1 3019
-            1.8500000000000000e+01 -2 -3 3020 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8793593049049377e-01 -5.8576709032058716e-01
-            5.3640323877334595e-01 -8.2473360002040863e-02</leafValues></_>
-        <_>
-          <treeThreshold>9.3099838256835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 3021 1.3500000000000000e+01 0 -1 3022
-            5.0000000000000000e-01 -2 -3 3023 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0108803510665894e-01 -6.3259094953536987e-01
-            -7.1200174093246460e-01 2.7906426787376404e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3105216979980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 3024 3.9050000000000000e+02 0 -1 3025 1243. -2 -3 3026
-            4.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8503718376159668e-01 9.7225552797317505e-01
-            5.3784158080816269e-03 -7.7111572027206421e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3588562011718750e+01</treeThreshold>
-          <internalNodes>
-            1 2 3027 1.2850000000000000e+02 0 -1 3028
-            9.5000000000000000e+00 -2 -3 3029 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.3606645464897156e-01 -5.4860621690750122e-01
-            4.8334029316902161e-01 -1.3527640700340271e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3835968017578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 3030 4.5000000000000000e+00 0 -1 3031
-            4.5000000000000000e+00 -2 -3 3032 1.3415000000000000e+03</internalNodes>
-          <leafValues>
-            -7.8450918197631836e-01 1.6970160603523254e-01
-            -5.8498537540435791e-01 2.4740667641162872e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4142906188964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 3033 4.3500000000000000e+01 0 -1 3034
-            4.5000000000000000e+00 -2 -3 3035 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0693769454956055e-01 -2.6115962862968445e-01
-            -8.9926475286483765e-01 7.7170163393020630e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4121742248535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 3036 3.3500000000000000e+01 0 -1 3037 5772. -2 -3 3038
-            8.2650000000000000e+02</internalNodes>
-          <leafValues>
-            6.0314506292343140e-01 -8.1919574737548828e-01
-            -2.1161338314414024e-02 7.4580943584442139e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.3867355346679688e+01</treeThreshold>
-          <internalNodes>
-            1 2 3039 1.5000000000000000e+00 0 -1 3040
-            2.5000000000000000e+00 -2 -3 3041 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 6.5151697397232056e-01 -2.5439009070396423e-01
-            4.9923765659332275e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4093467712402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 3042 7584. 0 -1 3043 5.1250000000000000e+02 -2 -3 3044
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7158271074295044e-01 2.2611454129219055e-01
-            -8.3964759111404419e-01 4.5222747325897217e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4337669372558594e+01</treeThreshold>
-          <internalNodes>
-            1 2 3045 1.5625000000000000e+03 0 -1 3046
-            1.0615000000000000e+03 -2 -3 3047 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 9.3781590461730957e-01 2.4420407414436340e-01
-            -2.9586532711982727e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4508171081542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 3048 1.3500000000000000e+01 0 -1 3049 23. -2 -3 3050
-            1.5245000000000000e+03</internalNodes>
-          <leafValues>
-            -8.5904693603515625e-01 1.7050011456012726e-01
-            9.2488127946853638e-01 -9.8964858055114746e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4239341735839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 3051 5.0000000000000000e-01 0 -1 3052
-            5.5000000000000000e+00 -2 -3 3053 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7914295494556427e-02 5.4742050170898438e-01
-            -4.5447856187820435e-01 4.4385817646980286e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4594245910644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 3054 1.5000000000000000e+00 0 -1 3055
-            1.5500000000000000e+01 -2 -3 3056 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5490357875823975e-01 -4.3068945407867432e-01
-            -6.6280466318130493e-01 3.0311322771012783e-03</leafValues></_>
-        <_>
-          <treeThreshold>9.4814491271972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 3057 3.5000000000000000e+00 0 -1 3058
-            5.0000000000000000e-01 -2 -3 3059 4.0550000000000000e+02</internalNodes>
-          <leafValues>
-            7.0450115203857422e-01 -7.8278595209121704e-01
-            2.2024388611316681e-01 -4.0765863656997681e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4579345703125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 3060 1.5500000000000000e+01 0 -1 3061
-            1.5000000000000000e+00 -2 -3 3062 1934.</internalNodes>
-          <leafValues>
-            1.5189912915229797e-01 -4.7490403056144714e-01
-            -2.3514933884143829e-01 6.0529416799545288e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4922325134277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 3063 5.0000000000000000e-01 0 -1 3064
-            3.0500000000000000e+01 -2 -3 3065 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8056674599647522e-01 5.7760846614837646e-01
-            -4.7326391935348511e-01 1.4074583351612091e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5195831298828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 3066 2.7500000000000000e+01 0 -1 3067
-            1.5500000000000000e+01 -2 -3 3068 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2090973854064941e-01 2.7350622415542603e-01
-            1.3395747169852257e-02 -8.1775778532028198e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5786506652832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 3069 4.5000000000000000e+00 0 -1 3070
-            4.3500000000000000e+01 -2 -3 3071 1.0235000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7497810125350952e-01 5.9067696332931519e-01
-            -5.4431802034378052e-01 7.7079035341739655e-02</leafValues></_></trees>
-      <features>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 11 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 22 6 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 19 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 5 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 8 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 4 5 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 6 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 19 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 18 12 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 26 7 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 28 13 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 10 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 12 3 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 28 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 28 11 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 9 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 7 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 12 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 14 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 11 2 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 11 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 18 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 16 5 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 21 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 26 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 28 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 1 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 19 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 9 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 28 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 8 1 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 12 25</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 2 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 29 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 6 17</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 24 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 12 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 9 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 10 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 4 9 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 28 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 24 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 16 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 29 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 6 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 22 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 21 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 9 15 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 1 5 30</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 0 15 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 13 6 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 7 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 23 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 27 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 13 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 13 1 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 8 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 14 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 13 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 30 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 27 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 9 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 7 1 24</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 8 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 19 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 13 2 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 28 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 26 8 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 28 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 23 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 15 4 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 7 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 5 1 25</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 20 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 30 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 16 12 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 23 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 6 4 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 4 3 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 13 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 10 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 7 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 24 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 1 3 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 21 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 11 6 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 30 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 30 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 24 12 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 13 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 10 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 17 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 5 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 0 1 29</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 20 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 30 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 24 5 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 12 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 7 4 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 10 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 28 13 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 22 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 15 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 11 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 11 13 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 22 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 19 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 4 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 29 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 9 6 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 3 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 12 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 25 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 1 3 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 5 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 14 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 6 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 26 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 30 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 22 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 6 7 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 6 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 4 2 21</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 17 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 24 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 5 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 25 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 12 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 28 9 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 20 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 25 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 9 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 6 9 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 8 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 19 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 18 11 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 12 1 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 3 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 7 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 27 13 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 12 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 24 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 22 11 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 28 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 23 9 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 9 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 29 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 15 3 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 8 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 10 3 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 9 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 0 13 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 4 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 23 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 3 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 10 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 17 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 10 5 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 29 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 21 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 22 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 5 25</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 10 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 5 7 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 21 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 12 3 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 5 1 21</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 12 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 6 8 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 25 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 9 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 3 1 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 15 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 13 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 8 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 0 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 0 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 20 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 17 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 30 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 8 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 24 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 6 9 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 16 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 18 11 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 28 10 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 15 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 30 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 17 6 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 6 10 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 0 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 10 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 25 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 26 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 10 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 25 13 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 17 7 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 21 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 0 2 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 29 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 26 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 17 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 30 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 13 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 10 8 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 14 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 28 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 7 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 29 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 22 2 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 25 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 5 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 1 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 7 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 2 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 29 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 12 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 13 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 13 11 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 13 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 16 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 20 3 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 28 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 29 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 25 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 19 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 29 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 10 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 10 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 30 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 29 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 2 1 29</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 10 23</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 6 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 9 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 12 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 8 1 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 30 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 4 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 7 4 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 1 1 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 11 5 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 19 7 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 0 15 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 5 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 20 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 8 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 11 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 16 7 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 6 1 25</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 22 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 7 13 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 1 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 8 27</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 26 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 9 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 11 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 22 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 9 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 4 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 8 1 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 7 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 9 2 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 6 1 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 29 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 17 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 28 12 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 8 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 23 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 2 2 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 10 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 6 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 17 3 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 9 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 5 6 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 3 6 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 22 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 4 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 1 1 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 17 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 13 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 2 3 22</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 28 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 10 1 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 24 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 26 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 8 1 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 29 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 28 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 25 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 19 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 22 5 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 24 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 29 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 28 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 28 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 7 5 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 8 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 17 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 13 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 22 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 19 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 15 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 10 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 3 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 12 11 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 28 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 8 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 11 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 9 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 25 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 18 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 18 11 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 4 1 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 19 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 0 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 29 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 26 4 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 17 5 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 30 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 18 3 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 25 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 20 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 25 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 8 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 28 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 29 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 19 5 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 23 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 17 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 17 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 8 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 11 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 28 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 7 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 17 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 0 6 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 24 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 28 11 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 27 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 4 3 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 0 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 7 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 14 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 9 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 12 8 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 15 11 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 7 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 12 9 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 5 3 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 8 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 17 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 13 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 0 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 7 1 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 28 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 6 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 1 28</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 27 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 4 4 27</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 29 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 26 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 20 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 17 7 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 25 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 17 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 12 28</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 9 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 22 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 0 5 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 7 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 2 4 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 10 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 11 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 28 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 4 1 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 7 6 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 25 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 13 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 24 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 20 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 22 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 28 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 20 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 26 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 24 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 24 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 10 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 23 3 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 10 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 0 2 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 20 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 8 5 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 19 4 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 27 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 10 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 8 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 26 11 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 18 11 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 12 28</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 8 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 22 4 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 30 8 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 19 1 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 16 9 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 28 9 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 17 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 25 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 16 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 3 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 24 2 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 24 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 15 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 13 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 25 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 22 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 26 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 18 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 6 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 3 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 7 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 10 9 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 7 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 17 6 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 6 7 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 10 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 13 6 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 17 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 28 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 21 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 29 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 3 3 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 11 14 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 11 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 18 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 26 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 28 10 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 17 6 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 25 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 22 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 6 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 6 3 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 1 7 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 12 6 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 8 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 0 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 30 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 28 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 25 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 28 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 12 3 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 16 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 24 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 22 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 7 2 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 4 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 9 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 29 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 13 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 17 5 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 27 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 24 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 6 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 3 1 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 4 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 5 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 29 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 3 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 19 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 4 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 7 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 25 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 25 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 24 6 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 20 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 14 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 19 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 25 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 14 6 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 30 8 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 26 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 19 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 13 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 0 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 28 8 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 12 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 2 12 24</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 11 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 3 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 3 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 28 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 16 7 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 22 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 12 8 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 27 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 20 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 24 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 8 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 12 1 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 7 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 17 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 21 7 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 3 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 9 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 22 2 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 25 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 29 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 29 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 12 3 16</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 16 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 7 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 2 3 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 17 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 26 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 1 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 11 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 23 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 30 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 1 27</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 24 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 15 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 26 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 15 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 20 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 9 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 1 5 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 8 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 7 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 2 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 18 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 0 5 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 4 14 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 14 6 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 3 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 12 8 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 8 3 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 30 14 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 6 11 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 25 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 30 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 27 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 14 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 13 5 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 7 4 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 12 4 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 29 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 28 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 11 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 6 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 6 1 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 30 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 3 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 20 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 15 8 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 22 6 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 28 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 22 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 17 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 3 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 20 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 9 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 25 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 24 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 26 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 26 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 10 4 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 30 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 5 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 3 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 20 3 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 12 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 17 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 3 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 29 13 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 29 7 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 21 5 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 7 2 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 14 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 26 6 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 24 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 11 13 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 16 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 9 1 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 22 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 3 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 25 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 20 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 17 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 7 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 25 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 18 7 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 12 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 7 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 13 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 0 2 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 1 2 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 8 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 26 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 28 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 8 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 26 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 24 12 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 16 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 14 5 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 16 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 4 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 12 4 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 7 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 30 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 21 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 9 3 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 8 14 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 8 1 23</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 28 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 15 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 6 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 29 15 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 19 4 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 23 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 5 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 8 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 22 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 13 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 28 5 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 29 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 1 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 6 8 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 23 4 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 3 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 19 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 12 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 19 1 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 17 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 28 11 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 3 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 8 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 9 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 12 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 10 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 18 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 16 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 22 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 14 7 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 30 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 26 6 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 9 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 28 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 10 2 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 8 7 20</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 23 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 25 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 25 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 0 10 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 16 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 19 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 5 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 9 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 28 10 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 7 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 9 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 3 1 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 1 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 19 1 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 23 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 12 5 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 8 19</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 1 4 27</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 11 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 10 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 25 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 25 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 4 30</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 25 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 8 1 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 18 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 26 5 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 19 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 28 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 9 2 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 3 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 27 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 3 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 3 3 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 22 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 14 4 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 5 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 11 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 30 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 18 12 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 8 1 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 12 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 19 7 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 15 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 20 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 6 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 7 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 28 14 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 15 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 15 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 3 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 30 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 23 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 24 6 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 4 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 17 9 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 30 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 24 9 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 17 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 24 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 18 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 25 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 23 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 3 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 14 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 9 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 9 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 27 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 14 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 19 9 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 19 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 20 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 15 1 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 11 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 1 5 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 16 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 24 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 24 8 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 21 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 28 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 7 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 24 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 6 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 14 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 27 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 14 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 10 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 7 6 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 8 11 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 7 1 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 20 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 4 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 2 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 21 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 12 3 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 12 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 30 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 1 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 24 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 7 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 26 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 21 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 20 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 27 10 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 22 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 8 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 3 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 29 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 19 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 5 2 26</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 9 4 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 23 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 10 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 12 3 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 11 2 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 19 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 9 10 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 22 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 3 6 23</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 16 1 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 19 1 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 9 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 10 1 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 20 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 21 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 7 4 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 18 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 8 3 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 20 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 1 1 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 13 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 29 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 19 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 6 5 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 19 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 29 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 28 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 5 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 22 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 5 27</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 26 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 21 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 17 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 30 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 1 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 18 2 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 9 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 23 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 9 4 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 28 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 8 1 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 4 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 6 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 2 11 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 1 3 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 4 5 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 29 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 7 6 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 28 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 13 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 20 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 10 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 8 9 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 26 6 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 24 1 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 11 4 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 21 5 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 2 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 21 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 8 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 9 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 24 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 0 3 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 26 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 13 2 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 19 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 0 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 2 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 30 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 20 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 6 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 10 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 29 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 9 3 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 12 10 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 16 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 15 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 9 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 19 15 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 25 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 14 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 3 2 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 24 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 28 15 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 21 7 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 14 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 14 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 16 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 9 3 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 21 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 17 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 19 13 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 9 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 22 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 19 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 1 1 30</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 19 7 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 23 9 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 17 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 0 3 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 4 12 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 5 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 6 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 13 4 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 4 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 5 11 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 16 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 20 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 1 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 22 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 12 6 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 4 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 1 5 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 2 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 21 12 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 4 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 15 2 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 1 3 26</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 4 13 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 15 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 9 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 0 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 19 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 11 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 29 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 8 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 14 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 7 4 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 28 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 24 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 15 3 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 26 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 27 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 9 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 10 12 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 27 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 24 8 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 5 1 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 12 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 4 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 3 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 26 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 11 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 21 5 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 13 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 0 6 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 15 5 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 3 1 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 25 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 13 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 14 3 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 16 4 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 15 7 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 17 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 27 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 12 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 16 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 25 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 20 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 26 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 21 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 9 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 7 6 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 30 11 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 26 9 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 29 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 5 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 10 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 22 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 1 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 1 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 21 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 5 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 4 14 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 9 3 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 4 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 12 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 5 14 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 8 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 4 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 20 15 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 23 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 2 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 8 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 30 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 24 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 14 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 27 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 1 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 9 13 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 11 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 16 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 29 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 25 9 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 29 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 9 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 11 1 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 21 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 23 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 23 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 18 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 2 5 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 4 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 10 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 9 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 6 10 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 5 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 0 5 31</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 25 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 24 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 8 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 2 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 7 2 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 17 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 25 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 28 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 14 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 4 5 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 16 10 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 21 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 16 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 24 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 16 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 10 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 26 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 20 8 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 1 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 4 3 25</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 28 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 28 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 21 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 18 1 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 21 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 22 7 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 24 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 17 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 3 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 16 6 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 29 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 4 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 0 3 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 11 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 10 12 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 1 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 26 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 11 11 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 11 1 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 30 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 26 8 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 21 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 1 4 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 20 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 4 6 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 7 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 19 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 6 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 22 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 14 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 21 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 4 1 22</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 4 3 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 17 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 2 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 6 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 10 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 30 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 16 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 2 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 20 6 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 8 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 13 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 8 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 17 7 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 6 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 27 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 20 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 21 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 18 5 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 18 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 6 4 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 23 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 1 1 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 12 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 23 7 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 13 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 9 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 6 13 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 3 5 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 25 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 23 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 26 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 17 1 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 10 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 14 7 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 11 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 20 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 19 5 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 16 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 28 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 8 8 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 13 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 9 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 20 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 4 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 19 12 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 12 2 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 22 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 10 2 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 2 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 14 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 28 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 23 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 12 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 12 7 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 24 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 5 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 7 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 9 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 21 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 29 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 27 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 18 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 21 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 15 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 27 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 11 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 12 8 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 22 10 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 8 25</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 16 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 5 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 29 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 1 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 21 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 27 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 12 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 20 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 17 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 9 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 1 1 23</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 9 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 30 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 0 2 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 2 1 29</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 8 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 29 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 12 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 13 12 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 22 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 19 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 16 4 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 17 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 14 8 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 28 8 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 16 9 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 29 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 28 11 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 16 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 4 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 29 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 24 6 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 27 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 4 10 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 11 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 20 6 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 28 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 15 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 22 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 26 11 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 0 3 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 21 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 14 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 4 3 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 13 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 15 1 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 16 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 18 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 23 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 5 9 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 3 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 2 4 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 17 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 25 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 28 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 9 6 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 10 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 17 5 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 11 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 8 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 12 11 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 30 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 0 6 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 12 2 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 16 6 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 25 9 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 4 5 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 7 3 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 12 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 5 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 8 8 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 27 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 27 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 27 13 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 17 3 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 0 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 11 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 28 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 15 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 24 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 8 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 1 4 29</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 14 8 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 30 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 16 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 13 7 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 22 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 26 7 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 8 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 25 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 10 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 11 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 4 6 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 6 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 26 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 12 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 16 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 14 3 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 22 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 14 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 10 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 30 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 23 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 25 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 7 1 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 6 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 15 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 0 3 31</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 19 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 9 3 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 15 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 4 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 4 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 1 10 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 9 6 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 16 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 24 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 10 1 21</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 19 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 20 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 28 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 19 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 5 2 21</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 19 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 29 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 22 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 9 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 16 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 2 28</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 26 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 23 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 29 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 3 3 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 11 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 2 1 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 19 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 26 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 26 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 7 1 24</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 24 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 11 2 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 0 1 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 13 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 30 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 25 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 9 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 10 3 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 30 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 12 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 4 6 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 16 3 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 14 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 10 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 2 1 27</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 9 3 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 12 3 19</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 4 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 10 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 2 1 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 18 11 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 26 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 15 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 22 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 10 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 27 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 29 14 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 4 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 3 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 25 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 0 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 13 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 15 11 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 16 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 27 13 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 23 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 4 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 22 5 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 15 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 24 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 11 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 25 9 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 3 2 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 22 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 15 2 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 19 8 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 10 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 16 6 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 11 1 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 0 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 15 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 22 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 28 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 20 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 12 3 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 1 5 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 15 5 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 1 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 29 10 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 9 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 4 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 15 10 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 8 11 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 22 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 5 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 12 1 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 30 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 4 7 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 14 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 10 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 9 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 0 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 25 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 7 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 30 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 11 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 8 3 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 1 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 8 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 3 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 6 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 7 12 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 7 1 21</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 2 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 8 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 24 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 18 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 9 8 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 8 3 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 25 9 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 24 5 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 3 10 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 9 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 28 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 17 5 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 2 1 28</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 16 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 1 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 30 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 17 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 20 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 12 5 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 29 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 5 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 14 6 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 24 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 17 14 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 7 5 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 28 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 20 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 4 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 23 4 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 9 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 11 12 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 28 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 4 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 21 6 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 15 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 3 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 9 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 3 8 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 4 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 28 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 20 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 13 7 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 0 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 3 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 5 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 11 4 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 29 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 1 6 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 27 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 6 5 25</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 23 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 2 7 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 10 7 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 30 13 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 4 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 24 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 14 6 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 22 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 15 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 26 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 20 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 24 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 4 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 4 6 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 24 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 28 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 5 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 10 1 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 3 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 5 7 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 25 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 0 4 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 9 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 9 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 21 6 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 19 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 21 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 11 5 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 17 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 28 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 8 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 26 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 13 6 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 10 2 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 5 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 29 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 21 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 5 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 17 1 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 29 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 11 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 30 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 7 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 27 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 2 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 4 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 8 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 7 1 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 0 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 11 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 24 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 19 4 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 21 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 12 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 4 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 15 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 17 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 11 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 0 3 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 25 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 10 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 22 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 5 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 2 1 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 2 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 17 8 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 22 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 30 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 8 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 10 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 30 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 20 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 6 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 13 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 20 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 14 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 10 12 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 17 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 21 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 8 7 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 3 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 30 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 12 8 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 27 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 30 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 9 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 10 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 3 3 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 11 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 30 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 19 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 29 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 24 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 10 1 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 1 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 2 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 0 13 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 25 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 23 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 7 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 29 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 19 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 1 1 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 28 14 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 20 9 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 16 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 7 10 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 0 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 14 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 3 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 7 8 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 28 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 8 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 11 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 7 9 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 25 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 30 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 25 12 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 24 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 17 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 27 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 28 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 20 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 5 6 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 0 1 31</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 2 2 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 19 4 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 13 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 27 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 9 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 7 4 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 16 1 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 28 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 28 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 17 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 9 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 1 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 14 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 23 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 8 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 20 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 3 6 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 18 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 23 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 21 5 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 28 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 22 1 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 13 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 27 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 4 6 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 28 9 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 6 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 20 8 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 21 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 29 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 5 11 20</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 4 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 10 6 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 16 8 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 20 2 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 19 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 23 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 23 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 20 6 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 8 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 8 8 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 20 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 2 2 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 5 5 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 17 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 23 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 23 7 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 6 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 20 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 23 10 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 8 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 29 10 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 17 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 16 9 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 20 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 2 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 5 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 12 5 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 2 7 21</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 0 6 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 24 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 3 1 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 28 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 12 2 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 3 1 25</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 2 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 7 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 7 25</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 11 1 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 29 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 16 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 7 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 1 10 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 10 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 6 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 13 2 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 16 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 12 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 10 11 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 23 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 28 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 11 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 5 6 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 23 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 6 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 3 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 28 13 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 25 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 23 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 19 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 14 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 7 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 24 9 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 11 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 3 11 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 23 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 5 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 21 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 3 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 11 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 5 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 27 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 6 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 29 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 28 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 14 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 15 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 2 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 30 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 10 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 29 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 1 9 23</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 3 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 20 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 21 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 19 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 1 1 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 11 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 2 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 25 7 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 5 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 23 2 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 15 10 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 30 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 29 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 4 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 3 1 28</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 26 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 20 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 19 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 19 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 28 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 20 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 5 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 7 4 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 0 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 10 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 4 28</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 28 12 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 22 3 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 8 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 8 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 12 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 14 4 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 26 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 9 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 28 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 17 4 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 20 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 14 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 2 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 13 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 7 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 3 3 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 8 4 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 9 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 9 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 30 8 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 9 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 18 10 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 15 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 16 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 27 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 15 3 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 28 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 26 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 13 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 10 14 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 9 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 21 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 25 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 29 13 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 9 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 15 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 16 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 11 6 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 7 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 4 4 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 8 1 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 5 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 21 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 2 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 20 1 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 29 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 16 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 10 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 5 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 26 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 6 1 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 29 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 21 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 4 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 4 4 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 28 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 5 2 25</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 24 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 9 4 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 9 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 9 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 15 9 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 30 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 17 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 4 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 17 4 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 10 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 0 7 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 10 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 27 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 3 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 0 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 8 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 23 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 5 2 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 10 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 23 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 9 1 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 29 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 3 4 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 27 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 26 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 15 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 30 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 4 7 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 4 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 4 5 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 28 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 10 7 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 9 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 0 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 21 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 2 1 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 21 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 17 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 4 2 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 28 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 21 1 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 1 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 24 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 1 1 30</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 16 2 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 11 4 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 15 6 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 5 6 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 19 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 25 11 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 29 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 23 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 3 8 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 11 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 4 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 2 14 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 25 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 18 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 24 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 1 7 27</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 8 11 22</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 0 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 29 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 24 12 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 10 5 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 7 7 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 10 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 13 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 26 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 23 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 29 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 18 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 19 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 15 6 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 0 6 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 11 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 10 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 4 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 7 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 24 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 9 5 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 21 1 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 9 2 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 1 28</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 20 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 27 15 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 5 11 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 13 6 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 28 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 12 5 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 2 1 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 7 11 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 17 1 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 4 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 23 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 8 1 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 15 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 1 1 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 1 6 30</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 1 1 30</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 24 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 10 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 1 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 27 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 20 10 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 13 5 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 7 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 15 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 14 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 6 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 6 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 28 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 19 1 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 14 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 18 5 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 0 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 3 4 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 29 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 5 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 8 9 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 13 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 16 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 27 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 26 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 12 2 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 20 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 22 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 30 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 22 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 26 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 15 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 12 4 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 3 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 10 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 4 9 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 20 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 22 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 1 4 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 28 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 9 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 18 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 7 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 2 3 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 7 1 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 22 6 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 24 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 30 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 10 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 14 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 0 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 5 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 0 7 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 11 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 10 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 30 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 22 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 2 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 28 15 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 16 7 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 20 7 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 18 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 12 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 5 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 7 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 26 8 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 20 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 0 10 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 23 4 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 21 6 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 27 10 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 9 4 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 1 4 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 19 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 3 4 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 9 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 6 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 27 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 25 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 10 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 9 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 12 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 15 4 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 30 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 20 3 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 20 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 17 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 6 3 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 18 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 0 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 6 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 23 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 12 2 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 23 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 13 5 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 0 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 20 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 9 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 26 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 11 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 26 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 12 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 6 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 14 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 7 2 21</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 15 4 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 26 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 17 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 0 3 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 22 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 2 7 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 3 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 5 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 29 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 15 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 27 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 19 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 9 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 8 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 28 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 15 2 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 15 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 1 14 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 19 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 26 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 0 4 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 12 7 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 6 8 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 9 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 9 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 10 5 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 9 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 28 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 27 10 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 29 6 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 19 2 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 2 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 25 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 5 3 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 21 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 17 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 30 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 24 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 7 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 13 8 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 5 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 9 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 16 4 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 10 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 28 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 26 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 9 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 5 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 19 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 9 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 11 5 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 17 7 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 21 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 26 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 1 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 27 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 26 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 29 6 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 18 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 5 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 3 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 27 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 7 10 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 27 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 11 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 7 1 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 9 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 11 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 5 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 25 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 4 2 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 19 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 0 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 4 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 4 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 8 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 6 4 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 18 9 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 12 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 11 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 13 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 10 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 28 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 11 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 9 2 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 17 14 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 3 1 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 1 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 23 4 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 5 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 29 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 5 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 3 4 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 28 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 25 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 3 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 8 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 12 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 12 1 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 10 5 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 3 4 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 9 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 6 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 6 9 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 18 11 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 10 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 8 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 30 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 12 2 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 19 9 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 9 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 21 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 12 9 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 4 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 26 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 15 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 22 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 22 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 0 7 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 21 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 10 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 5 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 6 7 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 3 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 18 4 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 20 9 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 5 6 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 28 7 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 20 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 26 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 15 7 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 3 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 3 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 23 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 2 7 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 14 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 3 5 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 30 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 12 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 26 5 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 19 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 29 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 10 11 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 21 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 28 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 5 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 0 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 29 14 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 4 6 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 22 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 7 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 16 4 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 14 3 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 20 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 29 13 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 3 4 23</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 8 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 16 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 22 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 3 11 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 15 15 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 28 10 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 26 7 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 24 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 23 15 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 0 9 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 20 9 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 23 7 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 0 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 30 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 5 1 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 8 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 2 7 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 6 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 16 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 18 6 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 20 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 27 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 14 6 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 4 10 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 18 14 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 11 6 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 14 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 11 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 27 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 4 1 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 25 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 12 6 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 23 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 15 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 19 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 25 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 5 4 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 28 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 11 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 1 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 4 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 27 10 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 28 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 17 3 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 11 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 16 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 0 11 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 3 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 29 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 18 11 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 8 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 0 1 27</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 11 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 28 9 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 19 2 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 28 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 5 3 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 17 8 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 29 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 7 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 1 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 0 1 19</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 22 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 3 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 12 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 3 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 28 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 18 4 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 21 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 9 4 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 21 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 21 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 28 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 26 10 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 3 2 19</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 12 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 20 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 9 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 6 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 9 12 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 10 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 27 8 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 10 7 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 30 10 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 25 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 28 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 25 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 20 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 6 6 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 10 1 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 14 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 10 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 0 9 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 21 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 5 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 23 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 24 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 13 6 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 28 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 20 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 8 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 6 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 4 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 21 7 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 24 11 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 28 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 3 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 10 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 4 5 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 24 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 18 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 2 5 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 25 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 3 4 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 13 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 0 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 13 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 19 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 20 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 3 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 26 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 12 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 8 5 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 8 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 7 6 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 9 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 11 11 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 14 2 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 5 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 12 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 1 2 25</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 18 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 27 3 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 17 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 18 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 16 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 23 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 8 3 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 6 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 12 12 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 18 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 6 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 2 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 0 11 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 8 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 9 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 25 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 27 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 2 3 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 19 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 1 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 22 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 9 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 9 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 11 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 24 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 27 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 8 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 22 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 0 2 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 20 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 4 2 26</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 15 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 5 15 19</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 9 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 5 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 6 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 6 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 25 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 19 4 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 14 8 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 25 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 29 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 27 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 27 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 4 7 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 11 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 17 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 8 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 26 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 2 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 5 7 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 8 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 0 1 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 0 6 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 14 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 3 13 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 26 8 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 17 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 2 11 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 16 6 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 22 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 29 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 22 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 26 4 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 1 7 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 29 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 9 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 28 14 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 8 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 9 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 30 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 30 11 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 5 12 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 13 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 10 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 4 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 5 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 19 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 1 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 19 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 0 13 27</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 28 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 9 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 4 6 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 3 4 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 24 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 17 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 14 7 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 2 1 25</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 13 4 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 8 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 18 13 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 30 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 7 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 28 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 1 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 30 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 22 5 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 25 6 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 6 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 30 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 26 7 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 1 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 2 7 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 2 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 6 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 28 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 24 1 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 29 9 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 13 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 0 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 5 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 3 9 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 17 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 5 1 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 10 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 5 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 12 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 9 3 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 26 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 10 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 10 5 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 27 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 9 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 21 6 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 18 9 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 24 10 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 4 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 23 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 3 1 28</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 20 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 25 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 0 10 21</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 11 6 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 28 14 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 10 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 25 5 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 27 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 6 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 15 3 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 13 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 22 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 3 6 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 17 6 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 28 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 30 10 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 25 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 8 3 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 0 2 25</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 30 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 21 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 5 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 29 10 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 23 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 11 4 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 22 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 9 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 26 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 23 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 25 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 29 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 2 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 26 8 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 3 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 12 12 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 28 6 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 30 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 26 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 11 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 1 4 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 4 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 28 8 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 29 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 10 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 3 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 4 1 10</rect></_></features></_>
-    <_>
-      <scale>1</scale>
-      <weaks>1024</weaks>
-      <trees>
-        <_>
-          <treeThreshold>-9.1824179887771606e-01</treeThreshold>
-          <internalNodes>
-            1 2 0 2.3365000000000000e+03 0 -1 1 8.3500000000000000e+01
-            -2 -3 2 2.9050000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9275911152362823e-01 -9.1824179887771606e-01
-            7.1353024244308472e-01 -4.2490604519844055e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.3566842079162598e+00</treeThreshold>
-          <internalNodes>
-            1 2 3 4.5500000000000000e+01 0 -1 4 5.6350000000000000e+02
-            -2 -3 5 1.5150000000000000e+02</internalNodes>
-          <leafValues>
-            -5.7629632949829102e-01 -9.8518949747085571e-01
-            5.2551275491714478e-01 -4.3844240903854370e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.6601251363754272e+00</treeThreshold>
-          <internalNodes>
-            1 2 6 1.6500000000000000e+01 0 -1 7 1.3417500000000000e+04
-            -2 -3 8 3.2850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.4283974468708038e-01 -7.6407837867736816e-01
-            6.7369973659515381e-01 -3.0344095826148987e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.7210527658462524e+00</treeThreshold>
-          <internalNodes>
-            1 2 9 8.3500000000000000e+01 0 -1 10 5.7950000000000000e+02
-            -2 -3 11 5.2165000000000000e+03</internalNodes>
-          <leafValues>
-            2.7889367938041687e-01 -7.9177212715148926e-01
-            -5.5426341295242310e-01 4.3222227692604065e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.8265457153320312e+00</treeThreshold>
-          <internalNodes>
-            1 2 12 1.0500000000000000e+01 0 -1 13 2.2500000000000000e+01
-            -2 -3 14 2.4415000000000000e+03</internalNodes>
-          <leafValues>
-            -4.9315950274467468e-01 5.7787740230560303e-01
-            -5.9864276647567749e-01 1.2489826977252960e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.6793980598449707e+00</treeThreshold>
-          <internalNodes>
-            1 2 15 1.8205000000000000e+03 0 -1 16 2.2445000000000000e+03
-            -2 -3 17 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1089431140571833e-03 8.0035644769668579e-01
-            9.4315350055694580e-02 -5.7833504676818848e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.5442515611648560e+00</treeThreshold>
-          <internalNodes>
-            1 2 18 3.4500000000000000e+01 0 -1 19 4293. -2 -3 20
-            1.5545000000000000e+03</internalNodes>
-          <leafValues>
-            -6.1589881777763367e-02 -9.2765086889266968e-01
-            2.9719692468643188e-01 -6.1971640586853027e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.8196758031845093e+00</treeThreshold>
-          <internalNodes>
-            1 2 21 1.1500000000000000e+01 0 -1 22 2.1500000000000000e+01
-            -2 -3 23 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4309207797050476e-01 4.5466747879981995e-01
-            -6.7477458715438843e-01 -2.8885286301374435e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.6610682010650635e+00</treeThreshold>
-          <internalNodes>
-            1 2 24 5.0950000000000000e+02 0 -1 25 27777. -2 -3 26
-            2.4715000000000000e+03</internalNodes>
-          <leafValues>
-            5.2616196870803833e-01 -4.0959128737449646e-01
-            5.7547372579574585e-01 -3.0137240886688232e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.5959914922714233e+00</treeThreshold>
-          <internalNodes>
-            1 2 27 5.0000000000000000e-01 0 -1 28 2.5000000000000000e+00
-            -2 -3 29 1.7450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2784364223480225e-01 4.9311363697052002e-01
-            -6.9787085056304932e-01 -1.9121825695037842e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.1109679937362671e+00</treeThreshold>
-          <internalNodes>
-            1 2 30 1.7500000000000000e+01 0 -1 31 1.0500000000000000e+01
-            -2 -3 32 1.6835000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9948041439056396e-01 4.8122453689575195e-01
-            -3.8041490316390991e-01 7.8814607858657837e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.3001022338867188e+00</treeThreshold>
-          <internalNodes>
-            1 2 33 5.5000000000000000e+00 0 -1 34 1.4500000000000000e+01
-            -2 -3 35 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2981390953063965e-01 4.1833153367042542e-01
-            -5.5634695291519165e-01 2.0092706382274628e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.2552416324615479e+00</treeThreshold>
-          <internalNodes>
-            1 2 36 1.5000000000000000e+00 0 -1 37 6.0500000000000000e+01
-            -2 -3 38 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.3229536414146423e-01 4.8632022738456726e-01
-            1.0821102559566498e-01 -5.4847836494445801e-01</leafValues></_>
-        <_>
-          <treeThreshold>-9.5746147632598877e-01</treeThreshold>
-          <internalNodes>
-            1 2 39 5.0000000000000000e-01 0 -1 40 5.5000000000000000e+00
-            -2 -3 41 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.0162736177444458e-01 3.7442612648010254e-01
-            -1.9469287246465683e-02 -6.7447566986083984e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.0001801252365112e-01</treeThreshold>
-          <internalNodes>
-            1 2 42 3.7500000000000000e+01 0 -1 43 3.1595000000000000e+03
-            -2 -3 44 1.2465000000000000e+03</internalNodes>
-          <leafValues>
-            1.6209787130355835e-01 -9.0783798694610596e-01
-            2.1256938576698303e-01 -7.1468418836593628e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.2121976613998413e+00</treeThreshold>
-          <internalNodes>
-            1 2 45 5.2500000000000000e+01 0 -1 46 5.0000000000000000e-01
-            -2 -3 47 7606.</internalNodes>
-          <leafValues>
-            3.2595899701118469e-01 -4.1217961907386780e-01
-            -1.9886784255504608e-01 7.2802597284317017e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.0095448493957520e+00</treeThreshold>
-          <internalNodes>
-            1 2 48 1.2645000000000000e+03 0 -1 49 1.3995000000000000e+03
-            -2 -3 50 17217.</internalNodes>
-          <leafValues>
-            1.4752689003944397e-01 -4.5374435186386108e-01
-            7.4328523874282837e-01 -3.0514815449714661e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.2125085592269897e-01</treeThreshold>
-          <internalNodes>
-            1 2 51 1.2450000000000000e+02 0 -1 52 4.5000000000000000e+00
-            -2 -3 53 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2579865455627441e-01 1.8829397857189178e-01
-            6.2581911683082581e-02 -9.3276327848434448e-01</leafValues></_>
-        <_>
-          <treeThreshold>-8.5726839303970337e-01</treeThreshold>
-          <internalNodes>
-            1 2 54 1.2500000000000000e+01 0 -1 55 3.5000000000000000e+00
-            -2 -3 56 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3079727888107300e-01 5.4834127426147461e-01
-            -7.4245822429656982e-01 -3.6017529666423798e-02</leafValues></_>
-        <_>
-          <treeThreshold>-3.7141740322113037e-01</treeThreshold>
-          <internalNodes>
-            1 2 57 2.5000000000000000e+00 0 -1 58 9.0500000000000000e+01
-            -2 -3 59 1.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -2.6328250765800476e-01 4.8585096001625061e-01
-            -4.2119786143302917e-01 3.4775453805923462e-01</leafValues></_>
-        <_>
-          <treeThreshold>-2.9893672466278076e-01</treeThreshold>
-          <internalNodes>
-            1 2 60 1.8150000000000000e+02 0 -1 61 1.6500000000000000e+01
-            -2 -3 62 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9467984437942505e-01 -2.8166392445564270e-01
-            -6.6281062364578247e-01 1.6430251300334930e-02</leafValues></_>
-        <_>
-          <treeThreshold>-5.2570968866348267e-01</treeThreshold>
-          <internalNodes>
-            1 2 63 2.8935000000000000e+03 0 -1 64 7.5000000000000000e+00
-            -2 -3 65 10970.</internalNodes>
-          <leafValues>
-            2.7466580271720886e-01 -8.6028146743774414e-01
-            3.1712412834167480e-01 -2.8514662384986877e-01</leafValues></_>
-        <_>
-          <treeThreshold>-3.3981230854988098e-01</treeThreshold>
-          <internalNodes>
-            1 2 66 4.3500000000000000e+01 0 -1 67 5.0500000000000000e+01
-            -2 -3 68 1.2950000000000000e+02</internalNodes>
-          <leafValues>
-            1.5071904659271240e-01 -6.7942529916763306e-01
-            3.4536096453666687e-01 -5.4448747634887695e-01</leafValues></_>
-        <_>
-          <treeThreshold>-3.2909783720970154e-01</treeThreshold>
-          <internalNodes>
-            1 2 69 4.0500000000000000e+01 0 -1 70 9.8750000000000000e+02
-            -2 -3 71 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.0841991528868675e-02 -6.2886476516723633e-01
-            7.4424326419830322e-01 9.9408831447362900e-03</leafValues></_>
-        <_>
-          <treeThreshold>-6.2298193573951721e-02</treeThreshold>
-          <internalNodes>
-            1 2 72 4.6085000000000000e+03 0 -1 73 3.8500000000000000e+01
-            -2 -3 74 5.7850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.5020188093185425e-01 5.4516482353210449e-01
-            5.7250261306762695e-01 -9.2801190912723541e-02</leafValues></_>
-        <_>
-          <treeThreshold>-1.5894679725170135e-01</treeThreshold>
-          <internalNodes>
-            1 2 75 5.0000000000000000e-01 0 -1 76 1.5000000000000000e+00
-            -2 -3 77 2.5750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4547845125198364e-01 4.9561309814453125e-01
-            5.8993577957153320e-01 -3.1674036383628845e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0653568506240845e-01</treeThreshold>
-          <internalNodes>
-            1 2 78 2.5335000000000000e+03 0 -1 79 2.4500000000000000e+01
-            -2 -3 80 8.9905000000000000e+03</internalNodes>
-          <leafValues>
-            2.6614660024642944e-01 -3.2352310419082642e-01
-            6.4184278249740601e-01 -3.7356415390968323e-01</leafValues></_>
-        <_>
-          <treeThreshold>-1.8076049163937569e-03</treeThreshold>
-          <internalNodes>
-            1 2 81 5.0000000000000000e-01 0 -1 82 1.2500000000000000e+01
-            -2 -3 83 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.9844339489936829e-01 4.9451184272766113e-01
-            -5.1162499189376831e-01 1.4680899679660797e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9161420464515686e-01</treeThreshold>
-          <internalNodes>
-            1 2 84 1.3500000000000000e+01 0 -1 85 1.2500000000000000e+01
-            -2 -3 86 1.5115000000000000e+03</internalNodes>
-          <leafValues>
-            -7.0512425899505615e-01 4.7449973225593567e-01
-            -4.5257037878036499e-01 1.9849643111228943e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6676848530769348e-01</treeThreshold>
-          <internalNodes>
-            1 2 87 5.0500000000000000e+01 0 -1 88 6.5500000000000000e+01
-            -2 -3 89 1.4650000000000000e+02</internalNodes>
-          <leafValues>
-            -2.0592364668846130e-01 3.0830872058868408e-01
-            -8.7131351232528687e-01 8.3726328611373901e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9189073145389557e-01</treeThreshold>
-          <internalNodes>
-            1 2 90 3.6050000000000000e+02 0 -1 91 1.0350000000000000e+02
-            -2 -3 92 7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2260921597480774e-02 5.0565969944000244e-01
-            -9.1390937566757202e-01 -1.8902081251144409e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3643327951431274e-01</treeThreshold>
-          <internalNodes>
-            1 2 93 2.0500000000000000e+01 0 -1 94 4.4500000000000000e+01
-            -2 -3 95 7.3785000000000000e+03</internalNodes>
-          <leafValues>
-            -8.0922812223434448e-01 3.4454253315925598e-01
-            -1.5407036058604717e-02 -7.4269419908523560e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3825522065162659e-01</treeThreshold>
-          <internalNodes>
-            1 2 96 1.0224500000000000e+04 0 -1 97 4.5000000000000000e+00
-            -2 -3 98 4.0035000000000000e+03</internalNodes>
-          <leafValues>
-            2.9326722025871277e-01 -3.9492443203926086e-01
-            6.2416630983352661e-01 -1.4834968745708466e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0073168277740479e-01</treeThreshold>
-          <internalNodes>
-            1 2 99 2.5000000000000000e+00 0 -1 100
-            3.8395000000000000e+03 -2 -3 101 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.1362767219543457e-01 -5.9424567967653275e-02
-            -6.8450838327407837e-01 2.6574308052659035e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0332926511764526e+00</treeThreshold>
-          <internalNodes>
-            1 2 102 5.4500000000000000e+01 0 -1 103
-            5.0000000000000000e-01 -2 -3 104 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.4594553411006927e-01 -8.0310869216918945e-01
-            4.9081337451934814e-01 -1.0566046833992004e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2107890844345093e+00</treeThreshold>
-          <internalNodes>
-            1 2 105 2.5000000000000000e+00 0 -1 106 608. -2 -3 107
-            1.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9540244340896606e-01 8.6690729856491089e-01
-            1.7749644815921783e-01 -8.1727051734924316e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1315129995346069e+00</treeThreshold>
-          <internalNodes>
-            1 2 108 1.0450000000000000e+02 0 -1 109 106. -2 -3 110
-            4.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -4.4595441222190857e-01 4.8524639010429382e-01
-            3.8998365402221680e-01 -4.3752849102020264e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3212180137634277e+00</treeThreshold>
-          <internalNodes>
-            1 2 111 5.0000000000000000e-01 0 -1 112
-            3.1500000000000000e+01 -2 -3 113 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.6347488164901733e-01 6.1377680301666260e-01
-            3.2435289025306702e-01 -3.2852920889854431e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5280661582946777e+00</treeThreshold>
-          <internalNodes>
-            1 2 114 31599. 0 -1 115 8.7950000000000000e+02 -2 -3 116
-            1.4950000000000000e+02</internalNodes>
-          <leafValues>
-            -4.4413706660270691e-01 2.0684811472892761e-01
-            -9.2896610498428345e-01 7.2677606344223022e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3401062488555908e+00</treeThreshold>
-          <internalNodes>
-            1 2 117 4.5000000000000000e+00 0 -1 118
-            5.0000000000000000e-01 -2 -3 119 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9902228116989136e-01 7.3140519857406616e-01
-            2.5528132915496826e-01 -3.2260772585868835e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5880639553070068e+00</treeThreshold>
-          <internalNodes>
-            1 2 120 2.3500000000000000e+01 0 -1 121
-            2.3415000000000000e+03 -2 -3 122 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.2909480333328247e-01 -6.7116706632077694e-03
-            -8.0022460222244263e-01 3.6795264482498169e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7455346584320068e+00</treeThreshold>
-          <internalNodes>
-            1 2 123 1.9715000000000000e+03 0 -1 124
-            4.5635000000000000e+03 -2 -3 125 4.4850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1536699533462524e-01 3.9649611711502075e-01
-            -5.3931379318237305e-01 1.9903500378131866e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4469091892242432e+00</treeThreshold>
-          <internalNodes>
-            1 2 126 9.5000000000000000e+00 0 -1 127
-            1.0219500000000000e+04 -2 -3 128 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            6.1238449811935425e-01 -1.6160279512405396e-01
-            -5.3765082359313965e-01 2.1599884331226349e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6631983518600464e+00</treeThreshold>
-          <internalNodes>
-            1 2 129 1.3050000000000000e+02 0 -1 130
-            1.2500000000000000e+01 -2 -3 131 48.</internalNodes>
-          <leafValues>
-            -6.8314427137374878e-01 2.1628913283348083e-01
-            7.3021888732910156e-01 -8.3048707246780396e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3611874580383301e+00</treeThreshold>
-          <internalNodes>
-            1 2 132 5691. 0 -1 133 1.4550000000000000e+02 -2 -3 134
-            6621.</internalNodes>
-          <leafValues>
-            6.3320666551589966e-02 -5.2526509761810303e-01
-            9.5597380399703979e-01 -8.6907690763473511e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6279634237289429e+00</treeThreshold>
-          <internalNodes>
-            1 2 135 2.3500000000000000e+01 0 -1 136
-            2.5000000000000000e+00 -2 -3 137 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9147856831550598e-01 -8.5339552164077759e-01
-            2.6677599549293518e-01 -3.8106775283813477e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0351922512054443e+00</treeThreshold>
-          <internalNodes>
-            1 2 138 4.9500000000000000e+01 0 -1 139
-            1.8500000000000000e+01 -2 -3 140 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.8707169294357300e-01 -5.0664901733398438e-01
-            5.0869596004486084e-01 -1.1930328607559204e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1048190593719482e+00</treeThreshold>
-          <internalNodes>
-            1 2 141 6.5000000000000000e+00 0 -1 142
-            2.0500000000000000e+01 -2 -3 143 2.8945000000000000e+03</internalNodes>
-          <leafValues>
-            2.2332985699176788e-01 -6.0333216190338135e-01
-            3.1961753964424133e-01 -4.8080846667289734e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5272200107574463e+00</treeThreshold>
-          <internalNodes>
-            1 2 144 1.2755000000000000e+03 0 -1 145
-            1.6450000000000000e+02 -2 -3 146 33.</internalNodes>
-          <leafValues>
-            8.7598457932472229e-02 -4.3963542580604553e-01
-            -8.7583345174789429e-01 6.2399446964263916e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3983705043792725e+00</treeThreshold>
-          <internalNodes>
-            1 2 147 5.5000000000000000e+00 0 -1 148
-            1.2500000000000000e+01 -2 -3 149 3.2715000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9637626409530640e-01 3.5001280903816223e-01
-            -6.8439531326293945e-01 5.0571694970130920e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1697113513946533e+00</treeThreshold>
-          <internalNodes>
-            1 2 150 666. 0 -1 151 1.0675000000000000e+03 -2 -3 152
-            1.0650000000000000e+02</internalNodes>
-          <leafValues>
-            -2.1497508883476257e-01 7.4145573377609253e-01
-            -4.1339716315269470e-01 1.7802318930625916e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3894040584564209e+00</treeThreshold>
-          <internalNodes>
-            1 2 153 1.5000000000000000e+00 0 -1 154
-            4.2500000000000000e+01 -2 -3 155 1.0950000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8204550743103027e-01 3.3967906236648560e-01
-            -9.1087028384208679e-02 -8.9394873380661011e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2878415584564209e+00</treeThreshold>
-          <internalNodes>
-            1 2 156 6.4500000000000000e+01 0 -1 157 11. -2 -3 158
-            4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            7.8926539421081543e-01 -8.1914222240447998e-01
-            5.7366627454757690e-01 -1.0156247764825821e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4907975196838379e+00</treeThreshold>
-          <internalNodes>
-            1 2 159 5.8650000000000000e+02 0 -1 160
-            1.7625000000000000e+03 -2 -3 161 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.2814042568206787e-01 2.0295590162277222e-01
-            4.9193066358566284e-01 -8.6553698778152466e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8328115940093994e+00</treeThreshold>
-          <internalNodes>
-            1 2 162 1.1500000000000000e+01 0 -1 163
-            1.5045000000000000e+03 -2 -3 164 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.6902194023132324e-01 -3.8489398360252380e-01
-            5.4847592115402222e-01 -9.3145422637462616e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.9363400936126709e+00</treeThreshold>
-          <internalNodes>
-            1 2 165 1.5500000000000000e+01 0 -1 166
-            1.2500000000000000e+01 -2 -3 167 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            9.5472264289855957e-01 -9.1838270425796509e-01
-            -1.0293316841125488e-01 4.3570974469184875e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8884809017181396e+00</treeThreshold>
-          <internalNodes>
-            1 2 168 5.5000000000000000e+00 0 -1 169
-            3.2250000000000000e+02 -2 -3 170 3.3305000000000000e+03</internalNodes>
-          <leafValues>
-            5.2823734283447266e-01 -6.2273854017257690e-01
-            2.4218171834945679e-01 -3.8004037737846375e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2581679821014404e+00</treeThreshold>
-          <internalNodes>
-            1 2 171 1.1585000000000000e+03 0 -1 172
-            2.0525000000000000e+03 -2 -3 173 6.6950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3419857025146484e-01 5.7153469324111938e-01
-            7.6942658424377441e-01 -4.6774842776358128e-03</leafValues></_>
-        <_>
-          <treeThreshold>3.2552568912506104e+00</treeThreshold>
-          <internalNodes>
-            1 2 174 4.7500000000000000e+01 0 -1 175
-            5.0000000000000000e-01 -2 -3 176 1.5550000000000000e+02</internalNodes>
-          <leafValues>
-            1.8964821100234985e-01 -5.6353724002838135e-01
-            -6.1556345224380493e-01 3.0847749114036560e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1983842849731445e+00</treeThreshold>
-          <internalNodes>
-            1 2 177 4.3150000000000000e+02 0 -1 178
-            5.8500000000000000e+01 -2 -3 179 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.6872483342885971e-02 5.8359992504119873e-01
-            4.7400984168052673e-01 -7.4053239822387695e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4817969799041748e+00</treeThreshold>
-          <internalNodes>
-            1 2 180 9.5000000000000000e+00 0 -1 181 25. -2 -3 182
-            6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.4430248737335205e-01 3.9208996295928955e-01
-            -4.2771559953689575e-01 3.0624631047248840e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0476233959197998e+00</treeThreshold>
-          <internalNodes>
-            1 2 183 2.5000000000000000e+00 0 -1 184
-            1.3250000000000000e+02 -2 -3 185 3.4150000000000000e+02</internalNodes>
-          <leafValues>
-            5.3614073991775513e-01 -5.6767416000366211e-01
-            -3.0754956603050232e-01 8.0505007505416870e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4105541706085205e+00</treeThreshold>
-          <internalNodes>
-            1 2 186 5.8500000000000000e+01 0 -1 187
-            5.2250000000000000e+02 -2 -3 188 8.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9508250355720520e-01 2.8085133433341980e-01
-            6.1845648288726807e-01 -2.1672628819942474e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4716253280639648e+00</treeThreshold>
-          <internalNodes>
-            1 2 189 3238. 0 -1 190 7.6925000000000000e+03 -2 -3 191
-            1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            5.7400876283645630e-01 -6.7538954317569733e-02
-            -8.3562213182449341e-01 6.1071071773767471e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3441829681396484e+00</treeThreshold>
-          <internalNodes>
-            1 2 192 1.3500000000000000e+01 0 -1 193
-            1.3500000000000000e+01 -2 -3 194 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.8424683809280396e-01 5.4655539989471436e-01
-            4.5958670973777771e-01 -1.2744228541851044e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2567305564880371e+00</treeThreshold>
-          <internalNodes>
-            1 2 195 4.5050000000000000e+02 0 -1 196
-            7.5000000000000000e+00 -2 -3 197 102.</internalNodes>
-          <leafValues>
-            2.0710256695747375e-01 -4.7517296671867371e-01
-            -2.6671493053436279e-01 5.8150058984756470e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5595970153808594e+00</treeThreshold>
-          <internalNodes>
-            1 2 198 1.5500000000000000e+01 0 -1 199
-            1.6405000000000000e+03 -2 -3 200 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.0164546966552734e-01 3.0286654829978943e-01
-            2.1122010052204132e-01 -5.7218044996261597e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7392544746398926e+00</treeThreshold>
-          <internalNodes>
-            1 2 201 6.5000000000000000e+00 0 -1 202
-            3.5000000000000000e+00 -2 -3 203 1.6450000000000000e+02</internalNodes>
-          <leafValues>
-            2.2506394982337952e-01 -8.6310726404190063e-01
-            1.7965751886367798e-01 -6.9324779510498047e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7078585624694824e+00</treeThreshold>
-          <internalNodes>
-            1 2 204 8.1450000000000000e+02 0 -1 205 1890. -2 -3 206
-            8.1750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2595106959342957e-01 8.0182307958602905e-01
-            6.8428695201873779e-01 -2.1671128273010254e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0834798812866211e+00</treeThreshold>
-          <internalNodes>
-            1 2 207 7524. 0 -1 208 29059. -2 -3 209
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.4072461128234863e-02 6.2213033437728882e-01
-            4.1094872355461121e-01 -3.1383806467056274e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9115695953369141e+00</treeThreshold>
-          <internalNodes>
-            1 2 210 1.8500000000000000e+01 0 -1 211 387. -2 -3 212
-            2.3750000000000000e+02</internalNodes>
-          <leafValues>
-            4.2355090379714966e-01 -8.8622373342514038e-01
-            2.1309094130992889e-01 -5.3503811359405518e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2166790962219238e+00</treeThreshold>
-          <internalNodes>
-            1 2 213 5.3500000000000000e+01 0 -1 214 1081. -2 -3 215
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.1005847454071045e-01 -9.5809775590896606e-01
-            3.0510938167572021e-01 -2.3649103939533234e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2742543220520020e+00</treeThreshold>
-          <internalNodes>
-            1 2 216 5.0000000000000000e-01 0 -1 217
-            3.5000000000000000e+00 -2 -3 218 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7842203378677368e-01 6.1577528715133667e-01
-            -6.2877601385116577e-01 5.7575210928916931e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.5262427330017090e+00</treeThreshold>
-          <internalNodes>
-            1 2 219 2.3500000000000000e+01 0 -1 220
-            6.5500000000000000e+01 -2 -3 221 7200.</internalNodes>
-          <leafValues>
-            -1.2643574178218842e-01 4.4764062762260437e-01
-            8.0391228199005127e-01 -5.6298023462295532e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3622655868530273e+00</treeThreshold>
-          <internalNodes>
-            1 2 222 5.0000000000000000e-01 0 -1 223
-            5.0000000000000000e-01 -2 -3 224 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.9282239675521851e-01 5.0668609142303467e-01
-            2.8447443246841431e-01 -3.2788425683975220e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3866205215454102e+00</treeThreshold>
-          <internalNodes>
-            1 2 225 1.8500000000000000e+01 0 -1 226
-            3.0500000000000000e+01 -2 -3 227 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6534422338008881e-01 -6.7988771200180054e-01
-            5.8741343021392822e-01 -7.3899636045098305e-03</leafValues></_>
-        <_>
-          <treeThreshold>4.6229195594787598e+00</treeThreshold>
-          <internalNodes>
-            1 2 228 3.5500000000000000e+01 0 -1 229
-            2.4250000000000000e+02 -2 -3 230 1.4995000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7123320102691650e-01 4.3727341294288635e-01
-            6.2667381763458252e-01 -8.1948131322860718e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4684619903564453e+00</treeThreshold>
-          <internalNodes>
-            1 2 231 1.3050000000000000e+02 0 -1 232
-            7.4500000000000000e+01 -2 -3 233 3.4250000000000000e+02</internalNodes>
-          <leafValues>
-            4.2552286386489868e-01 -6.8802464008331299e-01
-            -3.5543212294578552e-01 8.2571202516555786e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7353043556213379e+00</treeThreshold>
-          <internalNodes>
-            1 2 234 2.4500000000000000e+01 0 -1 235
-            5.2500000000000000e+01 -2 -3 236 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4997267723083496e-01 -9.4012928009033203e-01
-            -3.1085640192031860e-01 2.6684227585792542e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1284918785095215e+00</treeThreshold>
-          <internalNodes>
-            1 2 237 1.5000000000000000e+00 0 -1 238 246. -2 -3 239
-            5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.4119525253772736e-01 8.4309184551239014e-01
-            8.1866653636097908e-03 -5.9627658128738403e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2100868225097656e+00</treeThreshold>
-          <internalNodes>
-            1 2 240 1.2225000000000000e+03 0 -1 241 8510. -2 -3 242
-            4.1076500000000000e+04</internalNodes>
-          <leafValues>
-            -3.3349204063415527e-01 4.1161355376243591e-01
-            4.6106973290443420e-01 -8.5954028367996216e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1655635833740234e+00</treeThreshold>
-          <internalNodes>
-            1 2 243 1.4225500000000000e+04 0 -1 244
-            5.6765000000000000e+03 -2 -3 245 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4523153454065323e-02 6.2628918886184692e-01
-            2.0545418560504913e-01 -5.4939305782318115e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3291592597961426e+00</treeThreshold>
-          <internalNodes>
-            1 2 246 4.5000000000000000e+00 0 -1 247 5. -2 -3 248
-            4.5035000000000000e+03</internalNodes>
-          <leafValues>
-            -8.5104453563690186e-01 7.7873927354812622e-01
-            -8.5507243871688843e-01 -6.3659679144620895e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.4979724884033203e+00</treeThreshold>
-          <internalNodes>
-            1 2 249 7.7350000000000000e+02 0 -1 250
-            5.0745000000000000e+03 -2 -3 251 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.5453670620918274e-01 -6.6669577360153198e-01
-            1.7272062599658966e-01 -4.8215919733047485e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1418399810791016e+00</treeThreshold>
-          <internalNodes>
-            1 2 252 3.3500000000000000e+01 0 -1 253
-            4.8500000000000000e+01 -2 -3 254 1.1625000000000000e+03</internalNodes>
-          <leafValues>
-            5.2197024226188660e-02 -8.2986247539520264e-01
-            -4.2942497134208679e-01 2.6862683892250061e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3069186210632324e+00</treeThreshold>
-          <internalNodes>
-            1 2 255 7.3500000000000000e+01 0 -1 256
-            6.5000000000000000e+00 -2 -3 257 293.</internalNodes>
-          <leafValues>
-            -8.3037430047988892e-01 1.6507858037948608e-01
-            -8.6482697725296021e-01 5.6237572431564331e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8320169448852539e+00</treeThreshold>
-          <internalNodes>
-            1 2 258 5.2500000000000000e+01 0 -1 259
-            5.0000000000000000e-01 -2 -3 260 483.</internalNodes>
-          <leafValues>
-            4.2582702636718750e-01 -3.5350418090820312e-01
-            5.2509862184524536e-01 -8.3165860176086426e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4062981605529785e+00</treeThreshold>
-          <internalNodes>
-            1 2 261 7.2850000000000000e+02 0 -1 262 27703. -2 -3 263
-            1.1950000000000000e+02</internalNodes>
-          <leafValues>
-            6.5644961595535278e-01 -9.5847475528717041e-01
-            2.1147368848323822e-01 -4.5759904384613037e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3856034278869629e+00</treeThreshold>
-          <internalNodes>
-            1 2 264 2.1500000000000000e+01 0 -1 265
-            1.6105000000000000e+03 -2 -3 266 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.0694794133305550e-02 -7.2058790922164917e-01
-            7.0882946252822876e-01 -9.4017720222473145e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3594450950622559e+00</treeThreshold>
-          <internalNodes>
-            1 2 267 1.9500000000000000e+01 0 -1 268
-            1.5500000000000000e+01 -2 -3 269 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.6942609548568726e-01 -4.7919079661369324e-01
-            5.4369747638702393e-01 -2.6158468797802925e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5568313598632812e+00</treeThreshold>
-          <internalNodes>
-            1 2 270 3.8500000000000000e+01 0 -1 271 5311. -2 -3 272
-            1.0750000000000000e+02</internalNodes>
-          <leafValues>
-            2.8408360481262207e-01 -9.0222167968750000e-01
-            1.9738645851612091e-01 -5.9748172760009766e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0750946998596191e+00</treeThreshold>
-          <internalNodes>
-            1 2 273 3654. 0 -1 274 5.0000000000000000e-01 -2 -3 275 180.</internalNodes>
-          <leafValues>
-            1.3075743615627289e-01 -4.2956027388572693e-01
-            -7.0136785507202148e-01 6.2402111291885376e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0776939392089844e+00</treeThreshold>
-          <internalNodes>
-            1 2 276 2.5000000000000000e+00 0 -1 277
-            1.3500000000000000e+01 -2 -3 278 1.1750000000000000e+02</internalNodes>
-          <leafValues>
-            -9.0228682756423950e-01 1. 1.6657561063766479e-01
-            -6.4917582273483276e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0489621162414551e+00</treeThreshold>
-          <internalNodes>
-            1 2 279 1.2455000000000000e+03 0 -1 280
-            3.2550000000000000e+02 -2 -3 281 9.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -2.8672853112220764e-01 6.7820680141448975e-01
-            6.3100266456604004e-01 -2.2533583641052246e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3533391952514648e+00</treeThreshold>
-          <internalNodes>
-            1 2 282 1.8769500000000000e+04 0 -1 283
-            7.5450000000000000e+02 -2 -3 284 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3246711492538452e-01 4.0920761227607727e-01
-            9.1864340007305145e-02 -5.1933372020721436e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3807511329650879e+00</treeThreshold>
-          <internalNodes>
-            1 2 285 4.9950000000000000e+02 0 -1 286
-            7.5000000000000000e+00 -2 -3 287 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5379750132560730e-01 -9.2118155956268311e-01
-            -5.7641644030809402e-02 5.3151047229766846e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4591631889343262e+00</treeThreshold>
-          <internalNodes>
-            1 2 288 2.5500000000000000e+01 0 -1 289
-            1.1500000000000000e+01 -2 -3 290 1.7405000000000000e+03</internalNodes>
-          <leafValues>
-            -9.0133595466613770e-01 2.3147261142730713e-01
-            -5.1077365875244141e-01 7.7433860301971436e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7583456039428711e+00</treeThreshold>
-          <internalNodes>
-            1 2 291 5.0000000000000000e-01 0 -1 292
-            3.6500000000000000e+01 -2 -3 293 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.6842520236968994e-01 7.2404229640960693e-01
-            4.3139779567718506e-01 -3.6949115991592407e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6043167114257812e+00</treeThreshold>
-          <internalNodes>
-            1 2 294 1.0500000000000000e+01 0 -1 295
-            2.5500000000000000e+01 -2 -3 296 1.0750000000000000e+02</internalNodes>
-          <leafValues>
-            6.2449771165847778e-01 -6.7510235309600830e-01
-            3.5289931297302246e-01 -1.5402862429618835e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4769744873046875e+00</treeThreshold>
-          <internalNodes>
-            1 2 297 1.6750000000000000e+02 0 -1 298
-            3.4500000000000000e+01 -2 -3 299 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1882825195789337e-01 -6.5167319774627686e-01
-            -7.6285523176193237e-01 3.4674841165542603e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6450757980346680e+00</treeThreshold>
-          <internalNodes>
-            1 2 300 8.5000000000000000e+00 0 -1 301
-            1.3500000000000000e+01 -2 -3 302 116.</internalNodes>
-          <leafValues>
-            -5.9631282091140747e-01 2.7127423882484436e-01
-            -5.6467700004577637e-01 3.7385278940200806e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8429255485534668e+00</treeThreshold>
-          <internalNodes>
-            1 2 303 5.5500000000000000e+01 0 -1 304
-            3.5000000000000000e+00 -2 -3 305 3.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3910179138183594e-01 4.3193608522415161e-01
-            -3.7392577528953552e-01 6.6540867090225220e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0322842597961426e+00</treeThreshold>
-          <internalNodes>
-            1 2 306 6.3500000000000000e+01 0 -1 307
-            2.0845000000000000e+03 -2 -3 308 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.9658832848072052e-02 -8.6379587650299072e-01
-            4.7707024216651917e-01 -1.4790077507495880e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9630532264709473e+00</treeThreshold>
-          <internalNodes>
-            1 2 309 1.6150000000000000e+02 0 -1 310 29256. -2 -3 311
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2682120800018311e-01 4.9407878518104553e-01
-            5.2456849813461304e-01 -6.9230861961841583e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9075293540954590e+00</treeThreshold>
-          <internalNodes>
-            1 2 312 5.0000000000000000e-01 0 -1 313
-            8.5000000000000000e+00 -2 -3 314 8.4975000000000000e+03</internalNodes>
-          <leafValues>
-            -7.3926454782485962e-01 4.6552142500877380e-01
-            5.8614385128021240e-01 -3.0694326758384705e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0862822532653809e+00</treeThreshold>
-          <internalNodes>
-            1 2 315 8.2550000000000000e+02 0 -1 316
-            4.6500000000000000e+01 -2 -3 317 5.0695000000000000e+03</internalNodes>
-          <leafValues>
-            -2.9908904433250427e-01 5.3665381669998169e-01
-            6.0632449388504028e-01 -4.8383909463882446e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3064808845520020e+00</treeThreshold>
-          <internalNodes>
-            1 2 318 1.2500000000000000e+01 0 -1 319
-            4.7350000000000000e+02 -2 -3 320 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.4890976250171661e-01 5.1700884103775024e-01
-            2.2019901871681213e-01 -5.0205707550048828e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5856218338012695e+00</treeThreshold>
-          <internalNodes>
-            1 2 321 4.5000000000000000e+00 0 -1 322
-            2.5000000000000000e+00 -2 -3 323 1.7875000000000000e+03</internalNodes>
-          <leafValues>
-            -6.5830785036087036e-01 5.2842289209365845e-01
-            -4.4524073600769043e-01 1.5747387707233429e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5183806419372559e+00</treeThreshold>
-          <internalNodes>
-            1 2 324 7.8500000000000000e+01 0 -1 325
-            2.1500000000000000e+01 -2 -3 326 283.</internalNodes>
-          <leafValues>
-            4.9533292651176453e-01 -3.2849147915840149e-01
-            -8.8443028926849365e-01 -4.6591479331254959e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.2458000183105469e+00</treeThreshold>
-          <internalNodes>
-            1 2 327 2.9500000000000000e+01 0 -1 328
-            4.5000000000000000e+00 -2 -3 329 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.8163262605667114e-01 -5.6158578395843506e-01
-            -5.1157724857330322e-01 3.5844418406486511e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7198004722595215e+00</treeThreshold>
-          <internalNodes>
-            1 2 330 1.7500000000000000e+01 0 -1 331
-            8.5000000000000000e+00 -2 -3 332 94.</internalNodes>
-          <leafValues>
-            -1.6375185549259186e-01 4.7400090098381042e-01
-            -8.1118392944335938e-01 -3.4891348332166672e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6042866706848145e+00</treeThreshold>
-          <internalNodes>
-            1 2 333 1.5500000000000000e+01 0 -1 334
-            2.8500000000000000e+01 -2 -3 335 1.1255000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7163597941398621e-01 4.8851761221885681e-01
-            -4.1841214895248413e-01 5.2421635389328003e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8545336723327637e+00</treeThreshold>
-          <internalNodes>
-            1 2 336 5.0000000000000000e-01 0 -1 337
-            6.5000000000000000e+00 -2 -3 338 1.5755000000000000e+03</internalNodes>
-          <leafValues>
-            -5.1451754570007324e-01 5.8292496204376221e-01
-            5.4736447334289551e-01 -2.9082155227661133e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2435092926025391e+00</treeThreshold>
-          <internalNodes>
-            1 2 339 2.5000000000000000e+00 0 -1 340 298. -2 -3 341
-            3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5548179149627686e-01 -4.2350277304649353e-01
-            -4.2017799615859985e-01 3.3250615000724792e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1081476211547852e+00</treeThreshold>
-          <internalNodes>
-            1 2 342 2306. 0 -1 343 4.8350000000000000e+02 -2 -3 344
-            2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4824672937393188e-01 8.6650526523590088e-01
-            2.9151761531829834e-01 -3.6584287881851196e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9108762741088867e+00</treeThreshold>
-          <internalNodes>
-            0 1 345 2758. 0 1 345 2758. -1 -2 346 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. -1.  2.9584947228431702e-01 -1.9727160036563873e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1822175979614258e+00</treeThreshold>
-          <internalNodes>
-            1 2 347 2.3500000000000000e+01 0 -1 348 282. -2 -3 349
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1519537568092346e-01 -7.7347069978713989e-01
-            2.7134174108505249e-01 -2.6304042339324951e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1136093139648438e+00</treeThreshold>
-          <internalNodes>
-            1 2 350 6.6500000000000000e+01 0 -1 351
-            1.4500000000000000e+01 -2 -3 352 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0191783607006073e-02 -7.9695141315460205e-01
-            4.5921468734741211e-01 -4.6219456195831299e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4452056884765625e+00</treeThreshold>
-          <internalNodes>
-            1 2 353 5.0000000000000000e-01 0 -1 354
-            1.1750000000000000e+02 -2 -3 355 1.4615000000000000e+03</internalNodes>
-          <leafValues>
-            6.2617254257202148e-01 -6.0764908790588379e-01
-            -2.9064002633094788e-01 7.1891576051712036e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4361963272094727e+00</treeThreshold>
-          <internalNodes>
-            1 2 356 7.3500000000000000e+01 0 -1 357 825. -2 -3 358
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.0967606306076050e-01 -7.7204084396362305e-01
-            6.0940122604370117e-01 -9.0096443891525269e-03</leafValues></_>
-        <_>
-          <treeThreshold>8.7065010070800781e+00</treeThreshold>
-          <internalNodes>
-            1 2 359 3.1500000000000000e+01 0 -1 360
-            1.1475500000000000e+04 -2 -3 361 262.</internalNodes>
-          <leafValues>
-            4.0798941254615784e-01 -6.3121789693832397e-01
-            -4.9538758397102356e-01 2.7030462026596069e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5846290588378906e+00</treeThreshold>
-          <internalNodes>
-            1 2 362 1.4500000000000000e+01 0 -1 363
-            1.3524500000000000e+04 -2 -3 364 1.5650000000000000e+02</internalNodes>
-          <leafValues>
-            6.1740058660507202e-01 -1.2187176942825317e-01
-            -4.5620942115783691e-01 2.4483670294284821e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5813455581665039e+00</treeThreshold>
-          <internalNodes>
-            1 2 365 1.9500000000000000e+01 0 -1 366
-            2.4550000000000000e+02 -2 -3 367 1.5150000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2830052077770233e-03 -7.3917645215988159e-01
-            8.6923849582672119e-01 -3.4717652201652527e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3619909286499023e+00</treeThreshold>
-          <internalNodes>
-            1 2 368 8.5000000000000000e+00 0 -1 369 915. -2 -3 370
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -4.7836102545261383e-02 -8.9932316541671753e-01
-            3.6531907320022583e-01 -2.1935538947582245e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8194007873535156e+00</treeThreshold>
-          <internalNodes>
-            1 2 371 5.3500000000000000e+01 0 -1 372
-            4.5000000000000000e+00 -2 -3 373 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0001569986343384e-01 -6.3893711566925049e-01
-            4.5741054415702820e-01 -1.3190703094005585e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5848417282104492e+00</treeThreshold>
-          <internalNodes>
-            1 2 374 1.2185000000000000e+03 0 -1 375
-            5.6500000000000000e+01 -2 -3 376 7.8650000000000000e+02</internalNodes>
-          <leafValues>
-            -3.6798512935638428e-01 6.3582497835159302e-01
-            8.7271928787231445e-01 4.6488631516695023e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7026214599609375e+00</treeThreshold>
-          <internalNodes>
-            1 2 377 3.7500000000000000e+01 0 -1 378
-            8.1500000000000000e+01 -2 -3 379 2.2350000000000000e+02</internalNodes>
-          <leafValues>
-            -1.1387371271848679e-01 4.8333024978637695e-01
-            5.4781770706176758e-01 -6.5416949987411499e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.9529705047607422e+00</treeThreshold>
-          <internalNodes>
-            1 2 380 2.0500000000000000e+01 0 -1 381
-            7.5000000000000000e+00 -2 -3 382 1.3235000000000000e+03</internalNodes>
-          <leafValues>
-            -7.0283526182174683e-01 2.5034907460212708e-01
-            -7.6881372928619385e-01 1.7487525939941406e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.0659570693969727e+00</treeThreshold>
-          <internalNodes>
-            1 2 383 3.5000000000000000e+00 0 -1 384
-            6.5000000000000000e+00 -2 -3 385 7.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -9.7807765007019043e-01 4.7183737158775330e-01
-            1.1298649013042450e-01 -4.7387996315956116e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.2564897537231445e+00</treeThreshold>
-          <internalNodes>
-            1 2 386 7.0650000000000000e+02 0 -1 387
-            2.7500000000000000e+01 -2 -3 388 3.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -4.3204694986343384e-01 4.6149665117263794e-01
-            -4.5656362175941467e-01 4.0426468849182129e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.5633430480957031e+00</treeThreshold>
-          <internalNodes>
-            1 2 389 1.7250000000000000e+02 0 -1 390
-            1.4350000000000000e+02 -2 -3 391 2168.</internalNodes>
-          <leafValues>
-            3.0685371160507202e-01 -6.7446005344390869e-01
-            -5.6666123867034912e-01 5.7540327310562134e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.4047651290893555e+00</treeThreshold>
-          <internalNodes>
-            1 2 392 5.0000000000000000e-01 0 -1 393 36. -2 -3 394
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9199495315551758e-01 6.9151669740676880e-01
-            3.1148543953895569e-01 -3.2515323162078857e-01</leafValues></_>
-        <_>
-          <treeThreshold>9.8578929901123047e+00</treeThreshold>
-          <internalNodes>
-            1 2 395 1.6500000000000000e+01 0 -1 396
-            8.5000000000000000e+00 -2 -3 397 6655.</internalNodes>
-          <leafValues>
-            -6.3973349332809448e-01 -2.6324391365051270e-02
-            4.5312842726707458e-01 -7.6435673236846924e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0109946250915527e+01</treeThreshold>
-          <internalNodes>
-            1 2 398 8.1850000000000000e+02 0 -1 399 5. -2 -3 400
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.7892904281616211e-01 2.5205332040786743e-01
-            -2.3775234818458557e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0110588073730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 401 8.9500000000000000e+01 0 -1 402
-            1.9500000000000000e+01 -2 -3 403 3.3150000000000000e+02</internalNodes>
-          <leafValues>
-            6.0288328677415848e-02 -5.5889946222305298e-01
-            -6.6790217161178589e-01 4.9099177122116089e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0178493499755859e+01</treeThreshold>
-          <internalNodes>
-            1 2 404 8.3500000000000000e+01 0 -1 405
-            5.0000000000000000e-01 -2 -3 406 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            6.6644616425037384e-02 -4.7016331553459167e-01
-            6.9829040765762329e-01 -7.4734330177307129e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0367170333862305e+01</treeThreshold>
-          <internalNodes>
-            1 2 407 3.1968500000000000e+04 0 -1 408
-            1.4500000000000000e+01 -2 -3 409 1.9650000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8887441158294678e-01 1.8867671489715576e-01
-            -6.9990497827529907e-01 7.3294508457183838e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0330060958862305e+01</treeThreshold>
-          <internalNodes>
-            1 2 410 3.0500000000000000e+01 0 -1 411
-            4.5000000000000000e+00 -2 -3 412 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1319993138313293e-01 -1.7337587475776672e-01
-            -6.1255306005477905e-01 5.2832174301147461e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0422311782836914e+01</treeThreshold>
-          <internalNodes>
-            1 2 413 1.5750000000000000e+02 0 -1 414 2858. -2 -3 415 267.</internalNodes>
-          <leafValues>
-            9.2250838875770569e-02 -6.7853665351867676e-01
-            -5.2487850189208984e-01 3.7964582443237305e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0936569213867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 416 5.5000000000000000e+00 0 -1 417
-            1.5000000000000000e+00 -2 -3 418 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.1109032630920410e-01 5.2976405620574951e-01
-            -7.1571081876754761e-01 -3.8149278610944748e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.0785615921020508e+01</treeThreshold>
-          <internalNodes>
-            1 2 419 5.5000000000000000e+00 0 -1 420
-            2.5000000000000000e+00 -2 -3 421 5.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9414331912994385e-01 5.1595968008041382e-01
-            -5.1001089811325073e-01 2.4380905926227570e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1078557014465332e+01</treeThreshold>
-          <internalNodes>
-            1 2 422 6.2045000000000000e+03 0 -1 423
-            2.1500000000000000e+01 -2 -3 424 7.3450000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1469475030899048e-01 2.9294142127037048e-01
-            8.0896812677383423e-01 -6.5453553199768066e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1050524711608887e+01</treeThreshold>
-          <internalNodes>
-            1 2 425 1.2500000000000000e+01 0 -1 426
-            3.1250000000000000e+02 -2 -3 427 2.7950000000000000e+02</internalNodes>
-          <leafValues>
-            7.0064479112625122e-01 -3.8257476687431335e-01
-            1.9552476704120636e-01 -4.3830174207687378e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1334832191467285e+01</treeThreshold>
-          <internalNodes>
-            1 2 428 1.8675000000000000e+03 0 -1 429
-            6.5000000000000000e+00 -2 -3 430 1.1475000000000000e+03</internalNodes>
-          <leafValues>
-            3.7387716770172119e-01 -7.6267945766448975e-01
-            -5.4317325353622437e-01 2.8430745005607605e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1113101959228516e+01</treeThreshold>
-          <internalNodes>
-            1 2 431 1.4850000000000000e+02 0 -1 432
-            8.3500000000000000e+01 -2 -3 433 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8298897445201874e-02 -6.6938400268554688e-01
-            4.6958562731742859e-01 -2.8687629103660583e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0955561637878418e+01</treeThreshold>
-          <internalNodes>
-            1 2 434 4.3500000000000000e+01 0 -1 435
-            5.5000000000000000e+00 -2 -3 436 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.3246925175189972e-01 -5.9307396411895752e-01
-            4.5207285881042480e-01 -1.5754084289073944e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1154244422912598e+01</treeThreshold>
-          <internalNodes>
-            1 2 437 3.5500000000000000e+01 0 -1 438 149. -2 -3 439
-            1.0764500000000000e+04</internalNodes>
-          <leafValues>
-            1.6496022045612335e-01 -8.5004007816314697e-01
-            1.9868306815624237e-01 -7.6483601331710815e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1040904045104980e+01</treeThreshold>
-          <internalNodes>
-            1 2 440 1.7500000000000000e+01 0 -1 441
-            2.7650000000000000e+02 -2 -3 442 6.0650000000000000e+02</internalNodes>
-          <leafValues>
-            3.8257870078086853e-01 -8.7649303674697876e-01
-            5.6843882799148560e-01 -1.1334086209535599e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.0785296440124512e+01</treeThreshold>
-          <internalNodes>
-            1 2 443 2.0850000000000000e+02 0 -1 444
-            5.0000000000000000e-01 -2 -3 445 153.</internalNodes>
-          <leafValues>
-            2.4452392756938934e-01 -4.5549276471138000e-01
-            5.3557026386260986e-01 -2.5560736656188965e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1557132720947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 446 3.1695000000000000e+03 0 -1 447 17097. -2 -3 448
-            1.6791500000000000e+04</internalNodes>
-          <leafValues>
-            -8.1668007373809814e-01 8.2250398397445679e-01
-            -3.6227312684059143e-01 1.6900251805782318e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1418401718139648e+01</treeThreshold>
-          <internalNodes>
-            1 2 449 1.7705000000000000e+03 0 -1 450
-            4.6565000000000000e+03 -2 -3 451 4.5550000000000000e+02</internalNodes>
-          <leafValues>
-            -1.8939907848834991e-01 5.5706465244293213e-01
-            2.2822033613920212e-02 -6.7216074466705322e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1332237243652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 452 1.9500000000000000e+01 0 -1 453
-            5.0000000000000000e-01 -2 -3 454 168.</internalNodes>
-          <leafValues>
-            9.8821230232715607e-02 -9.9127775430679321e-01
-            2.8800103068351746e-01 -3.2348513603210449e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1800554275512695e+01</treeThreshold>
-          <internalNodes>
-            1 2 455 9.6500000000000000e+01 0 -1 456
-            3.5000000000000000e+00 -2 -3 457 1.2085000000000000e+03</internalNodes>
-          <leafValues>
-            1.2269663810729980e-01 -4.6963310241699219e-01
-            4.6831732988357544e-01 -7.5347024202346802e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1746677398681641e+01</treeThreshold>
-          <internalNodes>
-            1 2 458 2.6500000000000000e+01 0 -1 459
-            1.2500000000000000e+01 -2 -3 460 6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9853442311286926e-01 -6.0757899284362793e-01
-            4.3772074580192566e-01 -1.3283115625381470e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1710562705993652e+01</treeThreshold>
-          <internalNodes>
-            1 2 461 3.4500000000000000e+01 0 -1 462
-            5.0000000000000000e-01 -2 -3 463 2.0950000000000000e+02</internalNodes>
-          <leafValues>
-            3.1521999835968018e-01 -5.5736678838729858e-01
-            6.7748945951461792e-01 -3.6115031689405441e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.1582207679748535e+01</treeThreshold>
-          <internalNodes>
-            1 2 464 1.5000000000000000e+00 0 -1 465
-            1.4750000000000000e+02 -2 -3 466 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -9.5662528276443481e-01 8.8448798656463623e-01
-            5.0583779811859131e-01 -1.2840148806571960e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1577805519104004e+01</treeThreshold>
-          <internalNodes>
-            1 2 467 2.6250000000000000e+02 0 -1 468
-            8.5000000000000000e+00 -2 -3 469 2.7050000000000000e+02</internalNodes>
-          <leafValues>
-            5.8746252208948135e-02 -5.1417016983032227e-01
-            -4.4025536626577377e-03 7.2468632459640503e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1909842491149902e+01</treeThreshold>
-          <internalNodes>
-            1 2 470 3.0500000000000000e+01 0 -1 471
-            9.1500000000000000e+01 -2 -3 472 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6228722929954529e-01 -8.3183318376541138e-01
-            3.3203727006912231e-01 -2.0215129852294922e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.1820110321044922e+01</treeThreshold>
-          <internalNodes>
-            1 2 473 3.6150000000000000e+02 0 -1 474
-            7.5500000000000000e+01 -2 -3 475 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4021586179733276e-02 -7.3799329996109009e-01
-            5.9181433916091919e-01 -8.9732393622398376e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.2058867454528809e+01</treeThreshold>
-          <internalNodes>
-            1 2 476 2.1850000000000000e+02 0 -1 477
-            1.3970500000000000e+04 -2 -3 478 3.5405000000000000e+03</internalNodes>
-          <leafValues>
-            2.3875749111175537e-01 -3.4735745191574097e-01
-            8.4880095720291138e-01 -3.6369037628173828e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2003521919250488e+01</treeThreshold>
-          <internalNodes>
-            1 2 479 1.2045000000000000e+03 0 -1 480
-            5.0000000000000000e-01 -2 -3 481 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9498512148857117e-01 -4.0264678001403809e-01
-            6.4470326900482178e-01 -4.2276349663734436e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2398437500000000e+01</treeThreshold>
-          <internalNodes>
-            1 2 482 1.7500000000000000e+01 0 -1 483 13266. -2 -3 484
-            2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0403804481029510e-01 -7.6852244138717651e-01
-            3.9491611719131470e-01 -1.4494727551937103e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2834873199462891e+01</treeThreshold>
-          <internalNodes>
-            1 2 485 8.5000000000000000e+00 0 -1 486
-            1.9500000000000000e+01 -2 -3 487 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4885479360818863e-02 -6.1086690425872803e-01
-            -3.8872721791267395e-01 4.3643516302108765e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2477423667907715e+01</treeThreshold>
-          <internalNodes>
-            1 2 488 6.6500000000000000e+01 0 -1 489
-            2.9500000000000000e+01 -2 -3 490 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9354419708251953e-01 3.1559488177299500e-01
-            -5.1763534545898438e-01 2.7538600564002991e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3054378509521484e+01</treeThreshold>
-          <internalNodes>
-            1 2 491 8.2350000000000000e+02 0 -1 492
-            9.1500000000000000e+01 -2 -3 493 3.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -5.0999827682971954e-02 5.7695519924163818e-01
-            -8.2453000545501709e-01 2.1885833144187927e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3001498222351074e+01</treeThreshold>
-          <internalNodes>
-            1 2 494 3.5000000000000000e+00 0 -1 495
-            4.5000000000000000e+00 -2 -3 496 1.2545000000000000e+03</internalNodes>
-          <leafValues>
-            -3.3553498983383179e-01 4.7332924604415894e-01
-            -4.0103676915168762e-01 2.5861555337905884e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.2748070716857910e+01</treeThreshold>
-          <internalNodes>
-            1 2 497 7.2500000000000000e+01 0 -1 498
-            1.2078500000000000e+04 -2 -3 499 6.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.6012886762619019e-01 5.0949209928512573e-01
-            -3.8095393776893616e-01 3.5849356651306152e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3219707489013672e+01</treeThreshold>
-          <internalNodes>
-            1 2 500 5.0000000000000000e-01 0 -1 501
-            4.5000000000000000e+00 -2 -3 502 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3156263828277588e-01 4.7163730859756470e-01
-            1.4885266125202179e-01 -4.8097932338714600e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3100829124450684e+01</treeThreshold>
-          <internalNodes>
-            1 2 503 1.5500000000000000e+01 0 -1 504
-            6.5000000000000000e+00 -2 -3 505 1.6745000000000000e+03</internalNodes>
-          <leafValues>
-            4.8601552844047546e-02 -8.4098070859909058e-01
-            4.4885209202766418e-01 -1.1887902766466141e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3153789520263672e+01</treeThreshold>
-          <internalNodes>
-            1 2 506 1.9750000000000000e+02 0 -1 507
-            5.0000000000000000e-01 -2 -3 508 1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            3.5855168104171753e-01 -1.6984774172306061e-01
-            -8.2890641689300537e-01 8.5591834783554077e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3473151206970215e+01</treeThreshold>
-          <internalNodes>
-            1 2 509 2.0500000000000000e+01 0 -1 510
-            2.3500000000000000e+01 -2 -3 511 8.1050000000000000e+02</internalNodes>
-          <leafValues>
-            3.1073799729347229e-01 -9.3193674087524414e-01
-            -1.7174348235130310e-01 4.0613415837287903e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3465453147888184e+01</treeThreshold>
-          <internalNodes>
-            1 2 512 2.1265000000000000e+03 0 -1 513
-            9.2950000000000000e+02 -2 -3 514 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.6984455808997154e-03 7.1764069795608521e-01
-            2.0267011225223541e-01 -6.4554244279861450e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3577540397644043e+01</treeThreshold>
-          <internalNodes>
-            1 2 515 2.7500000000000000e+01 0 -1 516 36. -2 -3 517
-            4.1350000000000000e+02</internalNodes>
-          <leafValues>
-            1.5204006433486938e-01 -8.1754583120346069e-01
-            -9.6264392137527466e-02 4.6634069085121155e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3565153121948242e+01</treeThreshold>
-          <internalNodes>
-            1 2 518 8.2500000000000000e+01 0 -1 519
-            8.4500000000000000e+01 -2 -3 520 9545.</internalNodes>
-          <leafValues>
-            3.0989632010459900e-01 -6.6030853986740112e-01
-            -6.4033728837966919e-01 -2.4311884772032499e-03</leafValues></_>
-        <_>
-          <treeThreshold>1.3631966590881348e+01</treeThreshold>
-          <internalNodes>
-            1 2 521 2.3500000000000000e+01 0 -1 522
-            5.2500000000000000e+01 -2 -3 523 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1883838772773743e-01 2.8375336527824402e-01
-            6.9719344377517700e-01 -6.3891428709030151e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3900455474853516e+01</treeThreshold>
-          <internalNodes>
-            1 2 524 5.1500000000000000e+01 0 -1 525
-            4.5000000000000000e+00 -2 -3 526 22871.</internalNodes>
-          <leafValues>
-            -6.8288409709930420e-01 3.8537871837615967e-01
-            2.3610968887805939e-01 -4.6725943684577942e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.3885604858398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 527 6.3917500000000000e+04 0 -1 528
-            6.5000000000000000e+00 -2 -3 529 9.7500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8357095122337341e-01 -8.4825068712234497e-01
-            4.4022575020790100e-01 -1.7257900536060333e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4077846527099609e+01</treeThreshold>
-          <internalNodes>
-            1 2 530 1.9305000000000000e+03 0 -1 531
-            4.5000000000000000e+00 -2 -3 532 5275.</internalNodes>
-          <leafValues>
-            3.3539947867393494e-01 -2.5358977913856506e-01
-            8.1407654285430908e-01 -8.9784932136535645e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4307449340820312e+01</treeThreshold>
-          <internalNodes>
-            1 2 533 4.2500000000000000e+01 0 -1 534
-            3.2250000000000000e+02 -2 -3 535 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.7229333817958832e-02 -9.4649451971054077e-01
-            -5.4333996772766113e-01 2.2960273921489716e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4230868339538574e+01</treeThreshold>
-          <internalNodes>
-            1 2 536 4.7500000000000000e+01 0 -1 537
-            5.0000000000000000e-01 -2 -3 538 7.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4770493507385254e-01 -7.6581157743930817e-02
-            -8.0993747711181641e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.4503654479980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 539 2.1500000000000000e+01 0 -1 540
-            6.7525000000000000e+03 -2 -3 541 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3048166036605835e-01 -8.7906163930892944e-01
-            2.7278691530227661e-01 -4.8766756057739258e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4462507247924805e+01</treeThreshold>
-          <internalNodes>
-            1 2 542 5.0950000000000000e+02 0 -1 543
-            4.8500000000000000e+01 -2 -3 544 2334.</internalNodes>
-          <leafValues>
-            -4.5064944028854370e-01 1.7299294471740723e-01
-            7.4772566556930542e-01 -4.1147492825984955e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.4535001754760742e+01</treeThreshold>
-          <internalNodes>
-            1 2 545 3.5000000000000000e+00 0 -1 546
-            4.5000000000000000e+00 -2 -3 547 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2824006080627441e-01 5.8265477418899536e-01
-            -3.6995452642440796e-01 2.3856091499328613e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4815734863281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 548 2.0500000000000000e+01 0 -1 549
-            4.5000000000000000e+00 -2 -3 550 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9162200689315796e-01 2.8073275089263916e-01
-            9.8183512687683105e-02 -7.3680752515792847e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4583820343017578e+01</treeThreshold>
-          <internalNodes>
-            1 2 551 1.0500000000000000e+01 0 -1 552 10. -2 -3 553
-            9.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.9265322685241699e-01 2.6653656363487244e-01
-            -4.8498126864433289e-01 4.9194815754890442e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4590086936950684e+01</treeThreshold>
-          <internalNodes>
-            1 2 554 1.4075000000000000e+03 0 -1 555
-            8.5000000000000000e+00 -2 -3 556 2.2350000000000000e+02</internalNodes>
-          <leafValues>
-            7.2318482398986816e-01 -6.5714889764785767e-01
-            1.9554860889911652e-02 7.8212785720825195e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4370420455932617e+01</treeThreshold>
-          <internalNodes>
-            1 2 557 1.3055000000000000e+03 0 -1 558
-            6.3615000000000000e+03 -2 -3 559 5.5050000000000000e+02</internalNodes>
-          <leafValues>
-            6.6717378795146942e-02 7.7986842393875122e-01
-            4.8897069692611694e-01 -4.9088051915168762e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4557469367980957e+01</treeThreshold>
-          <internalNodes>
-            1 2 560 2.0500000000000000e+01 0 -1 561
-            1.9500000000000000e+01 -2 -3 562 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.0846841335296631e-01 7.7918326854705811e-01
-            4.8263064026832581e-01 -1.0205705463886261e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4732933044433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 563 9.5000000000000000e+00 0 -1 564
-            5.0000000000000000e-01 -2 -3 565 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2908272743225098e-01 4.2271518707275391e-01
-            3.5304966568946838e-01 -3.6941051483154297e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4693087577819824e+01</treeThreshold>
-          <internalNodes>
-            1 2 566 1.7250000000000000e+02 0 -1 567 59. -2 -3 568
-            1.1475000000000000e+03</internalNodes>
-          <leafValues>
-            1.8885573744773865e-01 -5.3026914596557617e-01
-            3.7803548574447632e-01 -4.6766680479049683e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4745432853698730e+01</treeThreshold>
-          <internalNodes>
-            1 2 569 1.3495000000000000e+03 0 -1 570
-            1.8257500000000000e+04 -2 -3 571 2.3425000000000000e+03</internalNodes>
-          <leafValues>
-            6.3086611032485962e-01 -8.6466968059539795e-01
-            -5.3896957635879517e-01 5.2345264703035355e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.4932119369506836e+01</treeThreshold>
-          <internalNodes>
-            1 2 572 2.2500000000000000e+01 0 -1 573
-            1.5000000000000000e+00 -2 -3 574 201.</internalNodes>
-          <leafValues>
-            3.3922508358955383e-01 -2.9905751347541809e-01
-            6.2781113386154175e-01 -6.2289994955062866e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.4913761138916016e+01</treeThreshold>
-          <internalNodes>
-            1 2 575 5.5000000000000000e+00 0 -1 576
-            2.3500000000000000e+01 -2 -3 577 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.2805154547095299e-02 -8.7636989355087280e-01
-            5.5972194671630859e-01 -1.8357984721660614e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.5149147987365723e+01</treeThreshold>
-          <internalNodes>
-            1 2 578 9.5500000000000000e+01 0 -1 579
-            1.7500000000000000e+01 -2 -3 580 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.1609076261520386e-01 -7.7603405714035034e-01
-            -5.4710090160369873e-01 2.3538668453693390e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5329943656921387e+01</treeThreshold>
-          <internalNodes>
-            1 2 581 6.5000000000000000e+00 0 -1 582
-            1.2500000000000000e+01 -2 -3 583 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9671869277954102e-01 4.9136134982109070e-01
-            -4.6433421969413757e-01 2.6395168900489807e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5564647674560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 584 5.6215000000000000e+03 0 -1 585
-            1.2250000000000000e+02 -2 -3 586 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.3470385372638702e-01 -3.8976871967315674e-01
-            -7.1197110414505005e-01 8.2057034969329834e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5355414390563965e+01</treeThreshold>
-          <internalNodes>
-            1 2 587 38. 0 -1 588 5.0000000000000000e-01 -2 -3 589 538.</internalNodes>
-          <leafValues>
-            1.3751998543739319e-01 -5.2037465572357178e-01
-            -5.0987344980239868e-01 4.1290232539176941e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5045125007629395e+01</treeThreshold>
-          <internalNodes>
-            1 2 590 1.5645000000000000e+03 0 -1 591
-            5.4325000000000000e+03 -2 -3 592 1.2175000000000000e+03</internalNodes>
-          <leafValues>
-            -5.2137178182601929e-01 8.4993147850036621e-01
-            -3.6553221940994263e-01 1.5015892684459686e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5401144027709961e+01</treeThreshold>
-          <internalNodes>
-            1 2 593 4.9850000000000000e+02 0 -1 594
-            7.4750000000000000e+02 -2 -3 595 1.1765000000000000e+03</internalNodes>
-          <leafValues>
-            -6.4674472808837891e-01 3.5601863265037537e-01
-            4.2863798141479492e-01 -5.4054826498031616e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5869146347045898e+01</treeThreshold>
-          <internalNodes>
-            1 2 596 1.7500000000000000e+01 0 -1 597
-            1.4500000000000000e+01 -2 -3 598 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.3737052679061890e-01 4.6800240874290466e-01
-            2.9216369986534119e-01 -4.2118266224861145e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5621976852416992e+01</treeThreshold>
-          <internalNodes>
-            1 2 599 1.2028050000000000e+05 0 -1 600
-            5.0000000000000000e-01 -2 -3 601 1.6150000000000000e+02</internalNodes>
-          <leafValues>
-            5.1389163732528687e-01 -9.5765459537506104e-01
-            -2.4716944992542267e-01 3.0435198545455933e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.5864768028259277e+01</treeThreshold>
-          <internalNodes>
-            1 2 602 805. 0 -1 603 9.9500000000000000e+01 -2 -3 604 142.</internalNodes>
-          <leafValues>
-            2.4279133975505829e-01 -5.3714054822921753e-01
-            -7.2764933109283447e-01 9.6386188268661499e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6094741821289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 605 1.3500000000000000e+01 0 -1 606
-            3.8500000000000000e+01 -2 -3 607 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.6710120439529419e-01 6.3659375905990601e-01
-            5.6683868169784546e-01 -7.7470704913139343e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.6352821350097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 608 2.4500000000000000e+01 0 -1 609 321. -2 -3 610
-            2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7493336200714111e-01 -4.8655620217323303e-01
-            -3.4665739536285400e-01 4.6393311023712158e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6565885543823242e+01</treeThreshold>
-          <internalNodes>
-            1 2 611 99. 0 -1 612 2.7500000000000000e+01 -2 -3 613 18.</internalNodes>
-          <leafValues>
-            -4.0105590224266052e-01 2.1306316554546356e-01
-            9.1738814115524292e-01 -9.6910119056701660e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6171833038330078e+01</treeThreshold>
-          <internalNodes>
-            1 2 614 6.2500000000000000e+01 0 -1 615 850. -2 -3 616
-            6.4350000000000000e+02</internalNodes>
-          <leafValues>
-            3.9383631944656372e-01 -3.4801158308982849e-01
-            -5.9990471601486206e-01 2.6293095946311951e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6745443344116211e+01</treeThreshold>
-          <internalNodes>
-            1 2 617 1.2715000000000000e+03 0 -1 618
-            4.5000000000000000e+00 -2 -3 619 1.0584500000000000e+04</internalNodes>
-          <leafValues>
-            3.5729202628135681e-01 -3.7123405933380127e-01
-            5.7361000776290894e-01 -7.0969957113265991e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6956495285034180e+01</treeThreshold>
-          <internalNodes>
-            1 2 620 3.6500000000000000e+01 0 -1 621
-            1.5000000000000000e+00 -2 -3 622 3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9200624227523804e-01 -8.8115519285202026e-01
-            -6.2640070915222168e-01 2.1105219423770905e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6578645706176758e+01</treeThreshold>
-          <internalNodes>
-            1 2 623 5.5850000000000000e+02 0 -1 624
-            1.2405000000000000e+03 -2 -3 625 6.2065000000000000e+03</internalNodes>
-          <leafValues>
-            -3.0536270141601562e-01 5.6700426340103149e-01
-            5.8548355102539062e-01 -3.8756856322288513e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6797395706176758e+01</treeThreshold>
-          <internalNodes>
-            1 2 626 6.3500000000000000e+01 0 -1 627
-            2.6050000000000000e+02 -2 -3 628 3.4035000000000000e+03</internalNodes>
-          <leafValues>
-            2.1875059604644775e-01 -8.0542641878128052e-01
-            7.2240287065505981e-01 -7.4785083532333374e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7109027862548828e+01</treeThreshold>
-          <internalNodes>
-            1 2 629 3.8500000000000000e+01 0 -1 630
-            8.5000000000000000e+00 -2 -3 631 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.9990634918212891e-01 -6.7117756605148315e-01
-            5.0323921442031860e-01 -9.7235314548015594e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7138694763183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 632 2.2500000000000000e+01 0 -1 633
-            3.5000000000000000e+00 -2 -3 634 2.5850000000000000e+02</internalNodes>
-          <leafValues>
-            2.9667703434824944e-02 -6.7911773920059204e-01
-            -3.2311308383941650e-01 3.8892340660095215e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7337394714355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 635 1.5450000000000000e+02 0 -1 636
-            2.5000000000000000e+00 -2 -3 637 3.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9533338546752930e-01 1.9869966804981232e-01
-            -6.8889272212982178e-01 6.1526125669479370e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7321151733398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 638 1.0500000000000000e+01 0 -1 639 36. -2 -3 640
-            2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3758604526519775e-01 3.5460218787193298e-01
-            2.2363138198852539e-01 -5.2678769826889038e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7182849884033203e+01</treeThreshold>
-          <internalNodes>
-            1 2 641 4.6085000000000000e+03 0 -1 642
-            5.8500000000000000e+01 -2 -3 643 1.9495000000000000e+03</internalNodes>
-          <leafValues>
-            -7.5954502820968628e-01 4.3844437599182129e-01
-            5.2219676971435547e-01 -1.3830167055130005e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.6850194931030273e+01</treeThreshold>
-          <internalNodes>
-            1 2 644 1.5000000000000000e+00 0 -1 645
-            5.3500000000000000e+01 -2 -3 646 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -3.6336588859558105e-01 3.9829358458518982e-01
-            1.3566142320632935e-01 -5.0935441255569458e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7548809051513672e+01</treeThreshold>
-          <internalNodes>
-            1 2 647 5.0000000000000000e-01 0 -1 648
-            4.5000000000000000e+00 -2 -3 649 4.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -6.3685965538024902e-01 6.9861376285552979e-01
-            -2.4660472571849823e-01 5.1089668273925781e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7800493240356445e+01</treeThreshold>
-          <internalNodes>
-            1 2 650 8.4115000000000000e+03 0 -1 651
-            3.5000000000000000e+00 -2 -3 652 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2067098617553711e-01 2.5168481469154358e-01
-            3.3256745338439941e-01 -8.4237796068191528e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7848138809204102e+01</treeThreshold>
-          <internalNodes>
-            1 2 653 1.0500000000000000e+01 0 -1 654 69. -2 -3 655
-            9.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9294911623001099e-01 4.2984691262245178e-01
-            -6.0193759202957153e-01 4.7644726932048798e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.7507314682006836e+01</treeThreshold>
-          <internalNodes>
-            1 2 656 8.5000000000000000e+00 0 -1 657
-            8.5000000000000000e+00 -2 -3 658 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 5.8663016557693481e-01 -3.4082308411598206e-01
-            3.3277565240859985e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7846509933471680e+01</treeThreshold>
-          <internalNodes>
-            1 2 659 6.9500000000000000e+01 0 -1 660
-            1.5500000000000000e+01 -2 -3 661 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.3919540047645569e-01 -2.3123474419116974e-01
-            -6.8450891971588135e-01 1.9382451474666595e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.7992757797241211e+01</treeThreshold>
-          <internalNodes>
-            1 2 662 1.2135000000000000e+03 0 -1 663
-            5.5000000000000000e+00 -2 -3 664 9912.</internalNodes>
-          <leafValues>
-            1.4624653756618500e-01 -5.0702661275863647e-01
-            5.2294051647186279e-01 -3.3612698316574097e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8306097030639648e+01</treeThreshold>
-          <internalNodes>
-            1 2 665 1.1150000000000000e+02 0 -1 666
-            2.9500000000000000e+01 -2 -3 667 131.</internalNodes>
-          <leafValues>
-            2.2407530248165131e-01 -4.9484744668006897e-01
-            4.4897791743278503e-01 -5.9033888578414917e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8481115341186523e+01</treeThreshold>
-          <internalNodes>
-            1 2 668 5.4500000000000000e+01 0 -1 669
-            4.5000000000000000e+00 -2 -3 670 1.0450000000000000e+02</internalNodes>
-          <leafValues>
-            9.0135312080383301e-01 -8.8288795948028564e-01
-            1.7501948773860931e-01 -5.7581090927124023e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8067760467529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 671 3.3500000000000000e+01 0 -1 672
-            5.0000000000000000e-01 -2 -3 673 9.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3020740747451782e-01 -5.1798826456069946e-01
-            -4.4331407546997070e-01 3.4977889060974121e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8271715164184570e+01</treeThreshold>
-          <internalNodes>
-            1 2 674 1.6950000000000000e+02 0 -1 675
-            5.5000000000000000e+00 -2 -3 676 1.5850000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4128860235214233e-01 2.0395421981811523e-01
-            -6.4517414569854736e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>1.8107772827148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 677 3.4335000000000000e+03 0 -1 678
-            6.8955000000000000e+03 -2 -3 679 8.2335000000000000e+03</internalNodes>
-          <leafValues>
-            -1.0244774073362350e-01 7.3749846220016479e-01
-            -4.6216171979904175e-01 7.2175997495651245e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8459823608398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 680 4.5000000000000000e+00 0 -1 681 149. -2 -3 682
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.7881535291671753e-01 3.5205116868019104e-01
-            2.8036254644393921e-01 -4.4955471158027649e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8034639358520508e+01</treeThreshold>
-          <internalNodes>
-            1 2 683 9.2500000000000000e+01 0 -1 684
-            6.0500000000000000e+01 -2 -3 685 1.0795000000000000e+03</internalNodes>
-          <leafValues>
-            3.0652499198913574e-01 -4.2518511414527893e-01
-            4.2748662829399109e-01 -7.5712633132934570e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8265748977661133e+01</treeThreshold>
-          <internalNodes>
-            1 2 686 4137. 0 -1 687 4.5000000000000000e+00 -2 -3 688
-            2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6524448394775391e-01 -8.7384039163589478e-01
-            2.3110976815223694e-01 -4.6121290326118469e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.8894989013671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 689 8.2650000000000000e+02 0 -1 690
-            3.0650000000000000e+02 -2 -3 691 5.6025000000000000e+03</internalNodes>
-          <leafValues>
-            -3.5010933876037598e-01 4.3205916881561279e-01
-            6.2924057245254517e-01 -4.4751787185668945e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9186059951782227e+01</treeThreshold>
-          <internalNodes>
-            1 2 692 1.1500000000000000e+01 0 -1 693 10537. -2 -3 694
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5397258996963501e-01 -8.4067875146865845e-01
-            2.9107019305229187e-01 -2.9084861278533936e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9097457885742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 695 5.0000000000000000e-01 0 -1 696
-            2.3365000000000000e+03 -2 -3 697 53.</internalNodes>
-          <leafValues>
-            -2.0022928714752197e-01 5.5956262350082397e-01
-            -3.5728842020034790e-01 6.0947358608245850e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9231519699096680e+01</treeThreshold>
-          <internalNodes>
-            1 2 698 2.9250000000000000e+02 0 -1 699 7389. -2 -3 700
-            7.1615000000000000e+03</internalNodes>
-          <leafValues>
-            4.6205502748489380e-01 -3.7696495652198792e-01
-            -5.6401371955871582e-01 1.2572592496871948e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9182878494262695e+01</treeThreshold>
-          <internalNodes>
-            1 2 701 1.5000000000000000e+00 0 -1 702 2558. -2 -3 703
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.7061773538589478e-01 -8.8573408126831055e-01
-            5.6795483827590942e-01 -4.8640340566635132e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.9205448150634766e+01</treeThreshold>
-          <internalNodes>
-            1 2 704 6.7250000000000000e+02 0 -1 705
-            4.5185000000000000e+03 -2 -3 706 1.6950000000000000e+02</internalNodes>
-          <leafValues>
-            2.2569710388779640e-02 -5.9597754478454590e-01 -1.
-            9.1055244207382202e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9722917556762695e+01</treeThreshold>
-          <internalNodes>
-            1 2 707 5.2150000000000000e+02 0 -1 708
-            2.2500000000000000e+01 -2 -3 709 22.</internalNodes>
-          <leafValues>
-            -3.8346976041793823e-01 1.7193076014518738e-01
-            -7.7268058061599731e-01 5.1746833324432373e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9223962783813477e+01</treeThreshold>
-          <internalNodes>
-            1 2 710 1.6450000000000000e+02 0 -1 711
-            6.0500000000000000e+01 -2 -3 712 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2410076856613159e-01 -6.7257648706436157e-01
-            -6.6855657100677490e-01 8.4185588359832764e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9324115753173828e+01</treeThreshold>
-          <internalNodes>
-            1 2 713 3.1500000000000000e+01 0 -1 714 885. -2 -3 715 458.</internalNodes>
-          <leafValues>
-            3.4352478384971619e-01 -6.2290155887603760e-01
-            -1.5769523382186890e-01 4.6984970569610596e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9645074844360352e+01</treeThreshold>
-          <internalNodes>
-            1 2 716 1.5000000000000000e+00 0 -1 717
-            2.7500000000000000e+01 -2 -3 718 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -1.5117371082305908e-01 5.1611447334289551e-01
-            3.8312494754791260e-01 -4.8121353983879089e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9339143753051758e+01</treeThreshold>
-          <internalNodes>
-            1 2 719 355. 0 -1 720 5.5000000000000000e+00 -2 -3 721
-            4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.9813804626464844e-01 2.2346007823944092e-01 1.
-            -8.0484783649444580e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9826204299926758e+01</treeThreshold>
-          <internalNodes>
-            1 2 722 5.0000000000000000e-01 0 -1 723
-            1.4145000000000000e+03 -2 -3 724 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8705908656120300e-01 -4.7939151525497437e-01
-            -4.1103795170783997e-01 3.4255331754684448e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0040077209472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 725 1.5585000000000000e+03 0 -1 726
-            7.5450000000000000e+02 -2 -3 727 7.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1711019277572632e-01 2.1387414634227753e-01
-            8.2314563915133476e-03 -8.8682103157043457e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9832237243652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 728 3.7250000000000000e+02 0 -1 729
-            1.2500000000000000e+01 -2 -3 730 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            6.4650267362594604e-01 -6.3438403606414795e-01
-            8.2046084105968475e-02 -4.0398535132408142e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0015359878540039e+01</treeThreshold>
-          <internalNodes>
-            1 2 731 616. 0 -1 732 5.3950000000000000e+02 -2 -3 733
-            1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            8.7944704294204712e-01 -8.7063318490982056e-01
-            -7.1043938398361206e-01 1.8312272429466248e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9969459533691406e+01</treeThreshold>
-          <internalNodes>
-            1 2 734 5.5500000000000000e+01 0 -1 735
-            1.8500000000000000e+01 -2 -3 736 463.</internalNodes>
-          <leafValues>
-            -4.5961013436317444e-01 5.2103579044342041e-01
-            -6.5900236368179321e-01 -4.5900702476501465e-02</leafValues></_>
-        <_>
-          <treeThreshold>1.9850994110107422e+01</treeThreshold>
-          <internalNodes>
-            1 2 737 1.5000000000000000e+00 0 -1 738
-            3.5500000000000000e+01 -2 -3 739 1.3995000000000000e+03</internalNodes>
-          <leafValues>
-            -4.4971930980682373e-01 5.4433470964431763e-01
-            1.3450010120868683e-01 -4.4755488634109497e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9611703872680664e+01</treeThreshold>
-          <internalNodes>
-            1 2 740 1.2185000000000000e+03 0 -1 741
-            2.5000000000000000e+00 -2 -3 742 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1004138737916946e-02 -6.4876526594161987e-01
-            5.7901018857955933e-01 -2.3929107189178467e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9846769332885742e+01</treeThreshold>
-          <internalNodes>
-            1 2 743 9.5000000000000000e+00 0 -1 744 26. -2 -3 745
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.8899505734443665e-01 -7.0432722568511963e-01
-            2.3506632447242737e-01 -6.7175412178039551e-01</leafValues></_>
-        <_>
-          <treeThreshold>1.9991693496704102e+01</treeThreshold>
-          <internalNodes>
-            1 2 746 5.5000000000000000e+00 0 -1 747 119. -2 -3 748
-            1.2950000000000000e+02</internalNodes>
-          <leafValues>
-            1. -9.5935773849487305e-01 1.4492283761501312e-01
-            -6.2346059083938599e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0697137832641602e+01</treeThreshold>
-          <internalNodes>
-            1 2 749 108. 0 -1 750 5.5000000000000000e+00 -2 -3 751
-            6.0050000000000000e+02</internalNodes>
-          <leafValues>
-            2.0598402619361877e-01 -3.1419786810874939e-01
-            7.0544409751892090e-01 -9.1675537824630737e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0869754791259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 752 2.1500000000000000e+01 0 -1 753
-            8.5000000000000000e+00 -2 -3 754 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2930352687835693e-01 1. 1.7261737585067749e-01
-            -7.1494102478027344e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0861036300659180e+01</treeThreshold>
-          <internalNodes>
-            1 2 755 5.0000000000000000e-01 0 -1 756
-            6.5000000000000000e+00 -2 -3 757 36104.</internalNodes>
-          <leafValues>
-            -9.8012816905975342e-01 3.0874124169349670e-01
-            -4.9350947141647339e-01 1.4333745837211609e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0605552673339844e+01</treeThreshold>
-          <internalNodes>
-            1 2 758 5.4500000000000000e+01 0 -1 759
-            5.6350000000000000e+02 -2 -3 760 1.5625000000000000e+03</internalNodes>
-          <leafValues>
-            2.8180310130119324e-01 -3.0899211764335632e-01
-            6.7988240718841553e-01 -8.8957315683364868e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.0792449951171875e+01</treeThreshold>
-          <internalNodes>
-            1 2 761 7.4500000000000000e+01 0 -1 762
-            2.1350000000000000e+02 -2 -3 763 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            7.5075513124465942e-01 -8.8623046875000000e-01
-            4.6418187022209167e-01 -9.8970189690589905e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.0991796493530273e+01</treeThreshold>
-          <internalNodes>
-            1 2 764 3985. 0 -1 765 5.5000000000000000e+00 -2 -3 766
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1011736392974854e-01 -2.7613282203674316e-01 -1.
-            8.9613044261932373e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1320064544677734e+01</treeThreshold>
-          <internalNodes>
-            1 2 767 2.8500000000000000e+01 0 -1 768
-            2.6250000000000000e+02 -2 -3 769 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            7.0724177360534668e-01 -4.7540894150733948e-01
-            3.2826820015907288e-01 -6.3711547851562500e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1143175125122070e+01</treeThreshold>
-          <internalNodes>
-            1 2 770 1.7500000000000000e+01 0 -1 771
-            5.8500000000000000e+01 -2 -3 772 7704.</internalNodes>
-          <leafValues>
-            -6.2765136361122131e-02 4.9819609522819519e-01
-            1.8703785538673401e-01 -9.2927688360214233e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1136123657226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 773 4.5000000000000000e+00 0 -1 774
-            1.5000000000000000e+00 -2 -3 775 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5042881965637207e-01 3.7720718979835510e-01
-            -6.6263186931610107e-01 -7.0531466044485569e-03</leafValues></_>
-        <_>
-          <treeThreshold>2.0957967758178711e+01</treeThreshold>
-          <internalNodes>
-            1 2 776 2.3355000000000000e+03 0 -1 777
-            1.6655000000000000e+03 -2 -3 778 7.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8912044763565063e-01 7.2663074731826782e-01
-            7.1329838037490845e-01 -9.2555418610572815e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1328319549560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 779 4.5000000000000000e+00 0 -1 780
-            1.7500000000000000e+01 -2 -3 781 116.</internalNodes>
-          <leafValues>
-            5.8393400907516479e-01 -5.6582391262054443e-01
-            -7.0427477359771729e-01 -3.2516807317733765e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.1190340042114258e+01</treeThreshold>
-          <internalNodes>
-            1 2 782 5.0000000000000000e-01 0 -1 783
-            5.5000000000000000e+00 -2 -3 784 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9387390613555908e-01 4.3818581104278564e-01
-            -4.3716219067573547e-01 2.7609312534332275e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1414947509765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 785 1.7500000000000000e+01 0 -1 786
-            2.0500000000000000e+01 -2 -3 787 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2550397515296936e-01 2.9646944999694824e-01
-            3.9801727980375290e-02 -8.1744748353958130e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1027912139892578e+01</treeThreshold>
-          <internalNodes>
-            1 2 788 3.5000000000000000e+00 0 -1 789
-            1.0500000000000000e+01 -2 -3 790 3.0015000000000000e+03</internalNodes>
-          <leafValues>
-            -5.8203905820846558e-01 3.9097124338150024e-01
-            4.4877341389656067e-01 -4.5889684557914734e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.1614578247070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 791 1.2545000000000000e+03 0 -1 792
-            5.0000000000000000e-01 -2 -3 793 21.</internalNodes>
-          <leafValues>
-            3.3954218029975891e-01 -3.9357089996337891e-01
-            -7.9993861913681030e-01 5.8666568994522095e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2001014709472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 794 1.5495000000000000e+03 0 -1 795 751. -2 -3 796
-            1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1558878421783447e-01 4.7567668557167053e-01
-            3.8643726706504822e-01 -4.9177539348602295e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2125329971313477e+01</treeThreshold>
-          <internalNodes>
-            1 2 797 3.5500000000000000e+01 0 -1 798
-            1.0450000000000000e+02 -2 -3 799 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7887133359909058e-01 -8.5177820920944214e-01
-            4.1519433259963989e-01 -1.6076141595840454e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2388074874877930e+01</treeThreshold>
-          <internalNodes>
-            1 2 800 550. 0 -1 801 3445. -2 -3 802 2.1850000000000000e+02</internalNodes>
-          <leafValues>
-            1. -8.8448894023895264e-01 -2.4786205589771271e-01
-            2.6274520158767700e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2539171218872070e+01</treeThreshold>
-          <internalNodes>
-            1 2 803 116554. 0 -1 804 1.7350000000000000e+02 -2 -3 805
-            8.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4936345219612122e-01 -6.2610012292861938e-01
-            -6.6242986917495728e-01 4.0655055642127991e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2177883148193359e+01</treeThreshold>
-          <internalNodes>
-            1 2 806 4.5000000000000000e+00 0 -1 807
-            5.0000000000000000e-01 -2 -3 808 3.5065000000000000e+03</internalNodes>
-          <leafValues>
-            -7.4715948104858398e-01 3.9860600233078003e-01
-            -5.3111910820007324e-01 1.2362924218177795e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2504861831665039e+01</treeThreshold>
-          <internalNodes>
-            1 2 809 1.4865000000000000e+03 0 -1 810
-            5.0000000000000000e-01 -2 -3 811 29.</internalNodes>
-          <leafValues>
-            1.3726322352886200e-01 -6.5520441532135010e-01
-            -7.5685930252075195e-01 3.2698005437850952e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2686376571655273e+01</treeThreshold>
-          <internalNodes>
-            1 2 812 5.2500000000000000e+01 0 -1 813
-            2.6500000000000000e+01 -2 -3 814 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.5744365751743317e-01 5.0805997848510742e-01
-            -7.4109727144241333e-01 3.1853440403938293e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2791370391845703e+01</treeThreshold>
-          <internalNodes>
-            1 2 815 2.3450000000000000e+02 0 -1 816
-            2.5000000000000000e+00 -2 -3 817 147638.</internalNodes>
-          <leafValues>
-            -8.8153153657913208e-02 5.4080992937088013e-01
-            4.0426537394523621e-01 -6.1521077156066895e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2746583938598633e+01</treeThreshold>
-          <internalNodes>
-            1 2 818 2.2500000000000000e+01 0 -1 819
-            3.7650000000000000e+02 -2 -3 820 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.3446598052978516e-01 -8.2142156362533569e-01
-            6.4422589540481567e-01 -4.4787917286157608e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.2948705673217773e+01</treeThreshold>
-          <internalNodes>
-            1 2 821 1.0500000000000000e+01 0 -1 822 201. -2 -3 823
-            6.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.8939151763916016e-01 3.3829051256179810e-01
-            -5.8153116703033447e-01 3.8105338811874390e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.2919631958007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 824 4.5000000000000000e+00 0 -1 825
-            5.2075000000000000e+03 -2 -3 826 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            6.2978500127792358e-01 -1.7962990701198578e-01
-            -6.0869598388671875e-01 -2.9075229540467262e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.3112272262573242e+01</treeThreshold>
-          <internalNodes>
-            1 2 827 456. 0 -1 828 2.1500000000000000e+01 -2 -3 829 271.</internalNodes>
-          <leafValues>
-            -6.7311352491378784e-01 1.9264096021652222e-01
-            -7.6656156778335571e-01 7.5126051902770996e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3314619064331055e+01</treeThreshold>
-          <internalNodes>
-            1 2 830 9.5000000000000000e+00 0 -1 831 62. -2 -3 832
-            1.0250000000000000e+02</internalNodes>
-          <leafValues>
-            5.3542816638946533e-01 -7.8225767612457275e-01
-            -4.1664305329322815e-01 2.2309158742427826e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3092792510986328e+01</treeThreshold>
-          <internalNodes>
-            1 2 833 1.6245000000000000e+03 0 -1 834
-            2.1405000000000000e+03 -2 -3 835 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            7.6887971162796021e-01 -7.8312724828720093e-01
-            3.3704435825347900e-01 -2.2182606160640717e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3098850250244141e+01</treeThreshold>
-          <internalNodes>
-            1 2 836 5.7500000000000000e+01 0 -1 837 30. -2 -3 838
-            1.1750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.9047434926033020e-01 7.0053535699844360e-01
-            6.3777458667755127e-01 -1.5085510909557343e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3334737777709961e+01</treeThreshold>
-          <internalNodes>
-            1 2 839 1.9350000000000000e+02 0 -1 840 20715. -2 -3 841
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.6165058314800262e-01 5.8560174703598022e-01
-            6.2762081623077393e-02 -5.0060212612152100e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3548194885253906e+01</treeThreshold>
-          <internalNodes>
-            1 2 842 1.5500000000000000e+01 0 -1 843
-            4.5000000000000000e+00 -2 -3 844 318.</internalNodes>
-          <leafValues>
-            6.7111068964004517e-01 -8.1105804443359375e-01
-            2.1345792710781097e-01 -6.4082610607147217e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3465780258178711e+01</treeThreshold>
-          <internalNodes>
-            1 2 845 1.5000000000000000e+00 0 -1 846
-            9.6250000000000000e+02 -2 -3 847 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3311456441879272e-01 -7.9367685317993164e-01
-            5.8400928974151611e-01 -8.2414992153644562e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.3698833465576172e+01</treeThreshold>
-          <internalNodes>
-            1 2 848 2.5750000000000000e+02 0 -1 849
-            2.0622500000000000e+04 -2 -3 850 133.</internalNodes>
-          <leafValues>
-            -2.1840496361255646e-01 6.1215102672576904e-01
-            7.2797334194183350e-01 -7.8106528520584106e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4240703582763672e+01</treeThreshold>
-          <internalNodes>
-            1 2 851 62616. 0 -1 852 5.1750000000000000e+02 -2 -3 853
-            2.0985000000000000e+03</internalNodes>
-          <leafValues>
-            -7.3088161647319794e-02 5.4187005758285522e-01
-            -9.7861820459365845e-01 8.4708303213119507e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4200925827026367e+01</treeThreshold>
-          <internalNodes>
-            1 2 854 13008. 0 -1 855 1571. -2 -3 856 45.</internalNodes>
-          <leafValues>
-            6.6456145048141479e-01 -3.9776403456926346e-02
-            -8.6307746171951294e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>2.4082960128784180e+01</treeThreshold>
-          <internalNodes>
-            1 2 857 3.5000000000000000e+00 0 -1 858
-            9.5000000000000000e+00 -2 -3 859 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1. 2.9574161767959595e-01 -2.3182141780853271e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4084737777709961e+01</treeThreshold>
-          <internalNodes>
-            1 2 860 3.7500000000000000e+01 0 -1 861 245. -2 -3 862
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1369399428367615e-01 -4.1193068027496338e-01
-            5.4411876201629639e-01 -1.9174022972583771e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.3971153259277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 863 7.2500000000000000e+01 0 -1 864
-            2.5500000000000000e+01 -2 -3 865 5620.</internalNodes>
-          <leafValues>
-            4.0953439474105835e-01 -7.1287387609481812e-01
-            2.9135236144065857e-01 -4.4266882538795471e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4037570953369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 866 2.4500000000000000e+01 0 -1 867
-            2.1500000000000000e+01 -2 -3 868 1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.6728180646896362e-01 8.0503904819488525e-01
-            2.9000800848007202e-01 -3.3851844072341919e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4266254425048828e+01</treeThreshold>
-          <internalNodes>
-            1 2 869 5.0000000000000000e-01 0 -1 870
-            1.7250000000000000e+02 -2 -3 871 2.2350000000000000e+02</internalNodes>
-          <leafValues>
-            4.8248341679573059e-01 -3.8941776752471924e-01
-            -3.1365787982940674e-01 5.1915067434310913e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4528257369995117e+01</treeThreshold>
-          <internalNodes>
-            1 2 872 4.3500000000000000e+01 0 -1 873 38. -2 -3 874
-            1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            8.9310199022293091e-02 -7.2979074716567993e-01
-            -8.7608027458190918e-01 2.6200246810913086e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4948534011840820e+01</treeThreshold>
-          <internalNodes>
-            1 2 875 1.7500000000000000e+01 0 -1 876
-            5.0000000000000000e-01 -2 -3 877 1.9050000000000000e+02</internalNodes>
-          <leafValues>
-            1.2763984501361847e-01 -6.1743724346160889e-01
-            4.2027613520622253e-01 -3.6524018645286560e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4699710845947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 878 1.5500000000000000e+01 0 -1 879
-            9.5000000000000000e+00 -2 -3 880 1.1950000000000000e+02</internalNodes>
-          <leafValues>
-            -7.6706290245056152e-01 4.8537570238113403e-01
-            -5.4855662584304810e-01 8.2174651324748993e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.4984062194824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 881 1.5000000000000000e+00 0 -1 882
-            1.4500000000000000e+01 -2 -3 883 7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.5929491519927979e-01 2.8435263037681580e-01
-            -5.6600302457809448e-01 1.5080869197845459e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5305467605590820e+01</treeThreshold>
-          <internalNodes>
-            1 2 884 1.5000000000000000e+00 0 -1 885
-            1.4500000000000000e+01 -2 -3 886 5.2150000000000000e+02</internalNodes>
-          <leafValues>
-            3.2140514254570007e-01 -7.5512856245040894e-01
-            -5.6036186218261719e-01 1.1670445650815964e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5274513244628906e+01</treeThreshold>
-          <internalNodes>
-            1 2 887 1.9500000000000000e+01 0 -1 888
-            1.0650000000000000e+02 -2 -3 889 8.4050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7158387899398804e-01 4.3117862939834595e-01
-            1.4426548779010773e-01 -4.6586552262306213e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.4883895874023438e+01</treeThreshold>
-          <internalNodes>
-            1 2 890 3.0650000000000000e+02 0 -1 891
-            5.0000000000000000e-01 -2 -3 892 4.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8699711561203003e-01 -3.9061647653579712e-01
-            -7.0082974433898926e-01 6.7297667264938354e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5504806518554688e+01</treeThreshold>
-          <internalNodes>
-            1 2 893 5.0000000000000000e-01 0 -1 894
-            3.1151500000000000e+04 -2 -3 895 500.</internalNodes>
-          <leafValues>
-            6.5120726823806763e-01 -4.1004878282546997e-01
-            -4.7606337070465088e-01 9.5995731651782990e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.5152439117431641e+01</treeThreshold>
-          <internalNodes>
-            1 2 896 5.5000000000000000e+00 0 -1 897
-            1.9500000000000000e+01 -2 -3 898 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.2321064621210098e-01 6.1841166019439697e-01
-            -3.6375361680984497e-01 5.2369672060012817e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5155344009399414e+01</treeThreshold>
-          <internalNodes>
-            1 2 899 1.8674500000000000e+04 0 -1 900
-            2.1850000000000000e+02 -2 -3 901 8562.</internalNodes>
-          <leafValues>
-            -1.6005823388695717e-02 6.5699905157089233e-01
-            -9.5848602056503296e-01 5.1249152421951294e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5483896255493164e+01</treeThreshold>
-          <internalNodes>
-            1 2 902 9.1500000000000000e+01 0 -1 903
-            5.4500000000000000e+01 -2 -3 904 1673.</internalNodes>
-          <leafValues>
-            -1.8930622935295105e-01 3.2855287194252014e-01
-            3.8335686922073364e-01 -9.2048138380050659e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5274023056030273e+01</treeThreshold>
-          <internalNodes>
-            1 2 905 9.0500000000000000e+01 0 -1 906
-            2.9500000000000000e+01 -2 -3 907 161.</internalNodes>
-          <leafValues>
-            1.9278690218925476e-01 -4.3163070082664490e-01
-            -8.2271754741668701e-01 6.6138559579849243e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5197338104248047e+01</treeThreshold>
-          <internalNodes>
-            1 2 908 6.0500000000000000e+01 0 -1 909
-            3.5000000000000000e+00 -2 -3 910 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            1.6147840023040771e-01 -7.2664386034011841e-01
-            6.0210800170898438e-01 -7.6684340834617615e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.5375751495361328e+01</treeThreshold>
-          <internalNodes>
-            1 2 911 1.2500000000000000e+01 0 -1 912
-            1.0500000000000000e+01 -2 -3 913 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.1757584214210510e-01 -9.6368086338043213e-01
-            3.0798566341400146e-01 -2.2424852848052979e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5239341735839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 914 2.0500000000000000e+01 0 -1 915
-            5.0000000000000000e-01 -2 -3 916 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.4820358753204346e-01 -2.6598191261291504e-01
-            6.2160044908523560e-01 -6.1119222640991211e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5769451141357422e+01</treeThreshold>
-          <internalNodes>
-            1 2 917 8.5000000000000000e+00 0 -1 918
-            3.5000000000000000e+00 -2 -3 919 785.</internalNodes>
-          <leafValues>
-            -5.2361053228378296e-01 1.3663402758538723e-02
-            5.3010904788970947e-01 -5.6690508127212524e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6132120132446289e+01</treeThreshold>
-          <internalNodes>
-            1 2 920 3.5000000000000000e+00 0 -1 921
-            5.5000000000000000e+00 -2 -3 922 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.4756454825401306e-01 6.6776388883590698e-01
-            -3.2966667413711548e-01 3.6266979575157166e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5398084640502930e+01</treeThreshold>
-          <internalNodes>
-            1 2 923 3.7500000000000000e+01 0 -1 924
-            4.5450000000000000e+02 -2 -3 925 76.</internalNodes>
-          <leafValues>
-            -5.9789156913757324e-01 2.5262823700904846e-01
-            -7.3403567075729370e-01 2.0674343407154083e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.5510837554931641e+01</treeThreshold>
-          <internalNodes>
-            1 2 926 11321. 0 -1 927 2.5000000000000000e+00 -2 -3 928
-            1.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3973264694213867e-01 1.1275193840265274e-01
-            -9.1843432188034058e-01 8.7821447849273682e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6130455017089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 929 6.5000000000000000e+00 0 -1 930 3083. -2 -3 931
-            3.0875000000000000e+03</internalNodes>
-          <leafValues>
-            4.2603471875190735e-01 -3.6732077598571777e-01
-            -4.1711282730102539e-01 6.1961770057678223e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6262090682983398e+01</treeThreshold>
-          <internalNodes>
-            1 2 932 17935. 0 -1 933 425. -2 -3 934
-            2.7176500000000000e+04</internalNodes>
-          <leafValues>
-            4.5509326457977295e-01 -6.6757386922836304e-01
-            -5.3166776895523071e-01 1.3163578510284424e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6658596038818359e+01</treeThreshold>
-          <internalNodes>
-            1 2 935 1.7500000000000000e+01 0 -1 936
-            1.1745000000000000e+03 -2 -3 937 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            2.5388157367706299e-01 -7.9901087284088135e-01
-            4.5095619559288025e-01 -1.0241491347551346e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6969305038452148e+01</treeThreshold>
-          <internalNodes>
-            1 2 938 3.0500000000000000e+01 0 -1 939
-            2.4500000000000000e+01 -2 -3 940 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            5.1047235727310181e-02 -8.9242154359817505e-01
-            3.1070950627326965e-01 -2.6842564344406128e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6705583572387695e+01</treeThreshold>
-          <internalNodes>
-            1 2 941 1.3050000000000000e+02 0 -1 942
-            3.4500000000000000e+01 -2 -3 943 2.2150000000000000e+02</internalNodes>
-          <leafValues>
-            -1.1592853814363480e-01 -7.7454018592834473e-01
-            4.5384824275970459e-01 -3.1817260384559631e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6782285690307617e+01</treeThreshold>
-          <internalNodes>
-            1 2 944 1.7735000000000000e+03 0 -1 945
-            9.5000000000000000e+00 -2 -3 946 4.5705000000000000e+03</internalNodes>
-          <leafValues>
-            -3.9006590843200684e-02 -9.5107847452163696e-01
-            -6.5736269950866699e-01 1.7125985026359558e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7105680465698242e+01</treeThreshold>
-          <internalNodes>
-            1 2 947 1.7625000000000000e+03 0 -1 948
-            1.3850000000000000e+02 -2 -3 949 1.9750000000000000e+02</internalNodes>
-          <leafValues>
-            3.6351567506790161e-01 -5.5703014135360718e-01
-            1.4079628884792328e-01 -5.2406501770019531e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7263711929321289e+01</treeThreshold>
-          <internalNodes>
-            1 2 950 2.5000000000000000e+00 0 -1 951
-            5.1850000000000000e+02 -2 -3 952 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            6.5141850709915161e-01 -9.1679638624191284e-01
-            2.9593178629875183e-01 -2.6542136073112488e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.6919979095458984e+01</treeThreshold>
-          <internalNodes>
-            1 2 953 1286. 0 -1 954 5.0500000000000000e+01 -2 -3 955
-            9549.</internalNodes>
-          <leafValues>
-            2.3069593310356140e-01 -3.4373316168785095e-01
-            7.6501649618148804e-01 -1.6475467383861542e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7302589416503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 956 3.0500000000000000e+01 0 -1 957
-            3.5000000000000000e+00 -2 -3 958 20.</internalNodes>
-          <leafValues>
-            4.2295122146606445e-01 -5.0685709714889526e-01
-            -6.1503076553344727e-01 3.8261166214942932e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7030504226684570e+01</treeThreshold>
-          <internalNodes>
-            1 2 959 1.5000000000000000e+00 0 -1 960
-            4.2500000000000000e+01 -2 -3 961 7879.</internalNodes>
-          <leafValues>
-            -8.3279174566268921e-01 3.1151020526885986e-01
-            5.7181537151336670e-01 -4.0998581051826477e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7195131301879883e+01</treeThreshold>
-          <internalNodes>
-            1 2 962 1.9550000000000000e+02 0 -1 963
-            9.7500000000000000e+01 -2 -3 964 1.7450000000000000e+02</internalNodes>
-          <leafValues>
-            1.7131289839744568e-01 -7.6953160762786865e-01
-            -8.5992205142974854e-01 9.4537514448165894e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7257419586181641e+01</treeThreshold>
-          <internalNodes>
-            1 2 965 5.1150000000000000e+02 0 -1 966
-            2.3335000000000000e+03 -2 -3 967 37646.</internalNodes>
-          <leafValues>
-            -5.3452479839324951e-01 5.5600736290216446e-02
-            9.5302796363830566e-01 -8.5994201898574829e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7456840515136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 968 2.7500000000000000e+01 0 -1 969
-            4.5000000000000000e+00 -2 -3 970 3.2250000000000000e+02</internalNodes>
-          <leafValues>
-            2.6460289955139160e-01 -3.8417342305183411e-01
-            4.4693005084991455e-01 -8.1004393100738525e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7806034088134766e+01</treeThreshold>
-          <internalNodes>
-            1 2 971 2.3500000000000000e+01 0 -1 972
-            7.6500000000000000e+01 -2 -3 973 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.5745208263397217e-01 3.4919399023056030e-01
-            3.5557851195335388e-01 -5.3877633810043335e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7538705825805664e+01</treeThreshold>
-          <internalNodes>
-            1 2 974 7.9500000000000000e+01 0 -1 975
-            1.4500000000000000e+01 -2 -3 976 87.</internalNodes>
-          <leafValues>
-            2.8678986430168152e-01 -2.9876446723937988e-01
-            8.6640423536300659e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>2.7824981689453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 977 2.5550000000000000e+02 0 -1 978
-            4.5000000000000000e+00 -2 -3 979 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7033209800720215e-01 -5.0700926780700684e-01
-            -6.5432757139205933e-01 3.9897635579109192e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8039585113525391e+01</treeThreshold>
-          <internalNodes>
-            1 2 980 8.5500000000000000e+01 0 -1 981
-            1.2500000000000000e+01 -2 -3 982 2.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.3840378522872925e-01 2.1460363268852234e-01
-            -7.5958758592605591e-01 3.2656311988830566e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8358228683471680e+01</treeThreshold>
-          <internalNodes>
-            1 2 983 2.5000000000000000e+00 0 -1 984 154. -2 -3 985
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8448559939861298e-01 -8.2974767684936523e-01
-            3.1864368915557861e-01 -2.1115814149379730e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.7895002365112305e+01</treeThreshold>
-          <internalNodes>
-            1 2 986 1.5500000000000000e+01 0 -1 987 3760. -2 -3 988
-            7.4650000000000000e+02</internalNodes>
-          <leafValues>
-            5.6718933582305908e-01 -4.6322652697563171e-01
-            -1.5654714405536652e-01 4.8763912916183472e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8411203384399414e+01</treeThreshold>
-          <internalNodes>
-            1 2 989 3.6500000000000000e+01 0 -1 990
-            5.5000000000000000e+00 -2 -3 991 177.</internalNodes>
-          <leafValues>
-            1.9065493345260620e-01 -4.4433963298797607e-01
-            5.1620143651962280e-01 -6.8428224325180054e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8243703842163086e+01</treeThreshold>
-          <internalNodes>
-            1 2 992 2.2550000000000000e+02 0 -1 993
-            1.0702500000000000e+04 -2 -3 994 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            9.7185559570789337e-02 -8.7033015489578247e-01
-            2.9659673571586609e-01 -4.0642136335372925e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8063882827758789e+01</treeThreshold>
-          <internalNodes>
-            1 2 995 1.1500000000000000e+01 0 -1 996 29. -2 -3 997
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1. 3.6489042639732361e-01 -1.7982187867164612e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8595172882080078e+01</treeThreshold>
-          <internalNodes>
-            1 2 998 3.4500000000000000e+01 0 -1 999
-            3.2500000000000000e+01 -2 -3 1000 1.1750000000000000e+02</internalNodes>
-          <leafValues>
-            7.5150117278099060e-02 -5.3011858463287354e-01
-            -3.1684866547584534e-01 5.3129112720489502e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8468202590942383e+01</treeThreshold>
-          <internalNodes>
-            1 2 1001 1.6628500000000000e+04 0 -1 1002
-            1.0500000000000000e+01 -2 -3 1003 3.3545000000000000e+03</internalNodes>
-          <leafValues>
-            6.4890080690383911e-01 -6.3209486007690430e-01
-            6.6508811712265015e-01 -1.2697088718414307e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8374160766601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1004 8.5000000000000000e+00 0 -1 1005
-            8.5000000000000000e+00 -2 -3 1006 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2094990015029907e-01 -9.4638687372207642e-01
-            4.4523945450782776e-01 -9.4041898846626282e-02</leafValues></_>
-        <_>
-          <treeThreshold>2.8551000595092773e+01</treeThreshold>
-          <internalNodes>
-            1 2 1007 3.1950000000000000e+02 0 -1 1008
-            6.6500000000000000e+01 -2 -3 1009 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.6274866461753845e-02 -9.6256363391876221e-01
-            -4.5958206057548523e-01 1.7684090137481689e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8745084762573242e+01</treeThreshold>
-          <internalNodes>
-            1 2 1010 1.2350000000000000e+02 0 -1 1011
-            5.5000000000000000e+00 -2 -3 1012 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1710654497146606e-01 1.9408319890499115e-01
-            -6.5851712226867676e-01 6.5294885635375977e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8799137115478516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1013 1.5000000000000000e+00 0 -1 1014 6367. -2 -3 1015
-            4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.7579481601715088e-01 6.5927535295486450e-01
-            3.2614521682262421e-02 -5.5185180902481079e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9203039169311523e+01</treeThreshold>
-          <internalNodes>
-            1 2 1016 4.8500000000000000e+01 0 -1 1017 1563. -2 -3 1018
-            174.</internalNodes>
-          <leafValues>
-            -1.8832503259181976e-01 8.4307962656021118e-01
-            6.7039912939071655e-01 -9.4139146804809570e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8794641494750977e+01</treeThreshold>
-          <internalNodes>
-            1 2 1019 3.3355000000000000e+03 0 -1 1020
-            6.6555000000000000e+03 -2 -3 1021 8.7150000000000000e+02</internalNodes>
-          <leafValues>
-            -9.0944504737854004e-01 4.4833663105964661e-01
-            -4.0839809179306030e-01 1.7850229144096375e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8677459716796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1022 1.2185000000000000e+03 0 -1 1023
-            8.2550000000000000e+02 -2 -3 1024 3.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -3.4955474734306335e-01 6.4450144767761230e-01
-            6.0581982135772705e-01 -1.1718237400054932e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8913532257080078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1025 2.7500000000000000e+01 0 -1 1026
-            2.7500000000000000e+01 -2 -3 1027 4.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5049676895141602e-01 2.3607361316680908e-01
-            7.3098081350326538e-01 -6.9291877746582031e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9108362197875977e+01</treeThreshold>
-          <internalNodes>
-            1 2 1028 7.5000000000000000e+00 0 -1 1029
-            9.5000000000000000e+00 -2 -3 1030 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.3998674154281616e-01 3.6129420995712280e-01
-            9.7287259995937347e-02 -5.4456633329391479e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8601478576660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1031 6.9500000000000000e+01 0 -1 1032 3194. -2 -3 1033
-            1194.</internalNodes>
-          <leafValues>
-            1.1185812205076218e-01 -5.0688385963439941e-01
-            -5.2819758653640747e-01 4.6284502744674683e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.8964368820190430e+01</treeThreshold>
-          <internalNodes>
-            1 2 1034 2.5000000000000000e+00 0 -1 1035
-            3.5000000000000000e+00 -2 -3 1036 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.3642036914825439e-01 3.6289060115814209e-01
-            7.4139624834060669e-01 -4.1967025399208069e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9433172225952148e+01</treeThreshold>
-          <internalNodes>
-            1 2 1037 3.0500000000000000e+01 0 -1 1038
-            5.0000000000000000e-01 -2 -3 1039 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6465510725975037e-01 -3.9573243260383606e-01
-            -6.1006444692611694e-01 4.6880471706390381e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9406284332275391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1040 850. 0 -1 1041 8.3500000000000000e+01 -2 -3 1042
-            503.</internalNodes>
-          <leafValues>
-            -1.3215389847755432e-01 5.3341400623321533e-01
-            -6.0456317663192749e-01 1.4337512850761414e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9681335449218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1043 5.0000000000000000e-01 0 -1 1044
-            2.2500000000000000e+01 -2 -3 1045 7.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -8.8528215885162354e-02 6.7735338211059570e-01
-            -4.3227946758270264e-01 2.7505078911781311e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9964553833007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1046 9.8500000000000000e+01 0 -1 1047
-            3.1500000000000000e+01 -2 -3 1048 2.7650000000000000e+02</internalNodes>
-          <leafValues>
-            2.8321748971939087e-01 -3.9361628890037537e-01
-            -8.2609468698501587e-01 2.6064848899841309e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9945455551147461e+01</treeThreshold>
-          <internalNodes>
-            1 2 1049 8.7500000000000000e+01 0 -1 1050
-            2.2385000000000000e+03 -2 -3 1051 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9241017103195190e-01 -1.5301111340522766e-01
-            -6.6095316410064697e-01 -1.9096992909908295e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0012765884399414e+01</treeThreshold>
-          <internalNodes>
-            1 2 1052 1.2500000000000000e+01 0 -1 1053
-            9.5000000000000000e+00 -2 -3 1054 5.0750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3019262552261353e-01 6.7893797159194946e-01
-            -1.2832325696945190e-01 4.3415006995201111e-01</leafValues></_>
-        <_>
-          <treeThreshold>2.9930473327636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1055 1.8500000000000000e+01 0 -1 1056
-            1.2500000000000000e+01 -2 -3 1057 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6613929271697998e-01 4.8394933342933655e-01
-            1.7974837124347687e-01 -4.4913277029991150e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0477281570434570e+01</treeThreshold>
-          <internalNodes>
-            1 2 1058 5.1950000000000000e+02 0 -1 1059
-            4.4500000000000000e+01 -2 -3 1060 114.</internalNodes>
-          <leafValues>
-            -7.6940767467021942e-02 5.4680854082107544e-01
-            -8.7260067462921143e-01 6.8811720609664917e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0773675918579102e+01</treeThreshold>
-          <internalNodes>
-            1 2 1061 1.0450000000000000e+02 0 -1 1062
-            2.8150000000000000e+02 -2 -3 1063 1125.</internalNodes>
-          <leafValues>
-            5.4583191871643066e-01 -5.2532721310853958e-02
-            -7.8279995918273926e-01 3.1823691725730896e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0351808547973633e+01</treeThreshold>
-          <internalNodes>
-            1 2 1064 3.5000000000000000e+00 0 -1 1065
-            1.5500000000000000e+01 -2 -3 1066 55.</internalNodes>
-          <leafValues>
-            -7.3623555898666382e-01 3.5894340276718140e-01
-            -4.2186784744262695e-01 4.3861863017082214e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0537498474121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1067 4307. 0 -1 1068 1160. -2 -3 1069
-            2.1660500000000000e+04</internalNodes>
-          <leafValues>
-            -7.8279590606689453e-01 4.5567861199378967e-01
-            1.8568974733352661e-01 -8.9434182643890381e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0696584701538086e+01</treeThreshold>
-          <internalNodes>
-            1 2 1070 4.4285000000000000e+03 0 -1 1071
-            5.0000000000000000e-01 -2 -3 1072 3.1735000000000000e+03</internalNodes>
-          <leafValues>
-            2.0552167296409607e-01 -4.5957171916961670e-01
-            7.2746735811233521e-01 -9.0351656079292297e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0743759155273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1073 3.7500000000000000e+01 0 -1 1074
-            9.5000000000000000e+00 -2 -3 1075 1.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -1.5780667960643768e-01 4.7251480817794800e-01
-            -6.7792648077011108e-01 4.7175608575344086e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0970186233520508e+01</treeThreshold>
-          <internalNodes>
-            1 2 1076 3.3550000000000000e+02 0 -1 1077
-            1.5850000000000000e+02 -2 -3 1078 6.7500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2642576694488525e-01 -7.5154268741607666e-01
-            -7.6098370552062988e-01 -2.8098121285438538e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0785564422607422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1079 3.5000000000000000e+00 0 -1 1080
-            1.0750000000000000e+02 -2 -3 1081 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1. 1. 3.4101343154907227e-01 -1.8462051451206207e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0677804946899414e+01</treeThreshold>
-          <internalNodes>
-            1 2 1082 1.8745000000000000e+03 0 -1 1083 8. -2 -3 1084
-            2.7950000000000000e+02</internalNodes>
-          <leafValues>
-            3.8025709986686707e-01 -9.3898135423660278e-01
-            4.3168732523918152e-01 -1.0776055604219437e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1114505767822266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1085 1.2235000000000000e+03 0 -1 1086 502. -2 -3 1087
-            1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.4203383326530457e-01 8.8017475605010986e-01
-            -6.2440735101699829e-01 4.3670186400413513e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0781503677368164e+01</treeThreshold>
-          <internalNodes>
-            1 2 1088 1.0765000000000000e+03 0 -1 1089
-            1.4445000000000000e+03 -2 -3 1090 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.0597463697195053e-01 5.4891431331634521e-01
-            2.9310002923011780e-01 -3.9375761151313782e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1352016448974609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1091 5.2500000000000000e+01 0 -1 1092
-            1.5000000000000000e+00 -2 -3 1093 272.</internalNodes>
-          <leafValues>
-            6.0849022865295410e-01 -2.5873470306396484e-01
-            5.7051157951354980e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>3.1657224655151367e+01</treeThreshold>
-          <internalNodes>
-            1 2 1094 5.5000000000000000e+00 0 -1 1095
-            1.6500000000000000e+01 -2 -3 1096 30152.</internalNodes>
-          <leafValues>
-            -9.6481657028198242e-01 8.0561167001724243e-01
-            4.4867545366287231e-01 -1.1930578947067261e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1797657012939453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1097 4.5000000000000000e+00 0 -1 1098
-            1.4500000000000000e+01 -2 -3 1099 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8230931758880615e-01 6.5411078929901123e-01
-            4.3631002306938171e-02 -7.3598957061767578e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1739580154418945e+01</treeThreshold>
-          <internalNodes>
-            1 2 1100 6.5000000000000000e+00 0 -1 1101
-            3.5000000000000000e+00 -2 -3 1102 2.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6922503113746643e-01 -9.2841345071792603e-01
-            -5.8075804263353348e-02 5.9674555063247681e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2161308288574219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1103 5.0000000000000000e-01 0 -1 1104
-            1.5500000000000000e+01 -2 -3 1105 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3271411657333374e-01 4.2172768712043762e-01
-            1.8879570066928864e-01 -4.8092129826545715e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1522403717041016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1106 1.7500000000000000e+01 0 -1 1107
-            3.5000000000000000e+00 -2 -3 1108 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.1741237044334412e-01 -6.3890427350997925e-01
-            -2.4483518302440643e-01 3.4861907362937927e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1028701782226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1109 1.6500000000000000e+01 0 -1 1110
-            7.5500000000000000e+01 -2 -3 1111 1.5595000000000000e+03</internalNodes>
-          <leafValues>
-            2.1001176536083221e-01 -5.4036855697631836e-01
-            8.2853209972381592e-01 -6.6984134912490845e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0648044586181641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1112 1.3500000000000000e+01 0 -1 1113
-            5.0000000000000000e-01 -2 -3 1114 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.0337771624326706e-02 -6.9217932224273682e-01
-            3.1262809038162231e-01 -3.8065665960311890e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0457332611083984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1115 1.0425000000000000e+03 0 -1 1116
-            2.1105000000000000e+03 -2 -3 1117 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            8.5383254289627075e-01 -9.4994091987609863e-01
-            3.6234918236732483e-01 -1.9071219861507416e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0355703353881836e+01</treeThreshold>
-          <internalNodes>
-            1 2 1118 417. 0 -1 1119 47393. -2 -3 1120
-            1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4608249068260193e-01 -7.7895587682723999e-01
-            5.4214590787887573e-01 -1.0162991285324097e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.0591539382934570e+01</treeThreshold>
-          <internalNodes>
-            1 2 1121 1.0505000000000000e+03 0 -1 1122
-            3.5000000000000000e+00 -2 -3 1123 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6039215922355652e-01 -8.2724225521087646e-01
-            2.3583582043647766e-01 -4.2682540416717529e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1194660186767578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1124 4.6185000000000000e+03 0 -1 1125
-            1.0500000000000000e+01 -2 -3 1126 1.9150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0647492408752441e-01 1.1079805344343185e-01
-            6.0312074422836304e-01 -8.1773541867733002e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.0726728439331055e+01</treeThreshold>
-          <internalNodes>
-            1 2 1127 1.3500000000000000e+01 0 -1 1128
-            4.5000000000000000e+00 -2 -3 1129 4.1550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2268900871276855e-01 3.8671565055847168e-01
-            2.8028538823127747e-01 -4.6793088316917419e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1088666915893555e+01</treeThreshold>
-          <internalNodes>
-            1 2 1130 8.5000000000000000e+00 0 -1 1131
-            5.8445000000000000e+03 -2 -3 1132 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3040379639714956e-04 -9.1474950313568115e-01
-            3.6193940043449402e-01 -1.4911226928234100e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1474407196044922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1133 1.5500000000000000e+01 0 -1 1134
-            3.5000000000000000e+00 -2 -3 1135 1.2525000000000000e+03</internalNodes>
-          <leafValues>
-            6.4907115697860718e-01 -5.0786149501800537e-01
-            -2.0913411676883698e-01 3.8573962450027466e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1632471084594727e+01</treeThreshold>
-          <internalNodes>
-            1 2 1136 6.5000000000000000e+00 0 -1 1137
-            3.7500000000000000e+01 -2 -3 1138 3.5500000000000000e+01</internalNodes>
-          <leafValues>
-            6.3346821069717407e-01 -5.2402967214584351e-01
-            -4.6075040102005005e-01 1.5806287527084351e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1587083816528320e+01</treeThreshold>
-          <internalNodes>
-            1 2 1139 2.8950000000000000e+02 0 -1 1140
-            1.2865000000000000e+03 -2 -3 1141 8.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.5387003570795059e-02 6.0369354486465454e-01
-            -8.8128578662872314e-01 1.6069179773330688e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1416742324829102e+01</treeThreshold>
-          <internalNodes>
-            1 2 1142 6.0500000000000000e+01 0 -1 1143 2554. -2 -3 1144
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.8986186981201172e-01 -7.9697668552398682e-01
-            4.0921381115913391e-01 -1.7034149169921875e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1597267150878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1145 7.5000000000000000e+00 0 -1 1146
-            1.2500000000000000e+01 -2 -3 1147 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0123994350433350e-01 9.0972447395324707e-01
-            1.8052530288696289e-01 -7.1117341518402100e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.1853481292724609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1148 2.5000000000000000e+00 0 -1 1149
-            1.6500000000000000e+01 -2 -3 1150 50.</internalNodes>
-          <leafValues>
-            -4.6300759911537170e-01 2.5621402263641357e-01
-            -5.8134639263153076e-01 6.4391428232192993e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2041400909423828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1151 1.5000000000000000e+00 0 -1 1152
-            5.5000000000000000e+00 -2 -3 1153 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4350862503051758e-01 -6.5627163648605347e-01
-            -4.0067231655120850e-01 3.3987161517143250e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2274913787841797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1154 2.2500000000000000e+01 0 -1 1155 121. -2 -3 1156
-            4.0750000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6885540485382080e-01 2.3351371288299561e-01
-            6.7405563592910767e-01 -5.4761618375778198e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2459445953369141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1157 2.1500000000000000e+01 0 -1 1158
-            1.2500000000000000e+01 -2 -3 1159 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.8360142707824707e-01 2.5230798125267029e-01
-            1.1890246719121933e-01 -5.4317802190780640e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2713863372802734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1160 3.9500000000000000e+01 0 -1 1161
-            4.5000000000000000e+00 -2 -3 1162 2.2635000000000000e+03</internalNodes>
-          <leafValues>
-            4.9993959069252014e-01 -4.6222266554832458e-01
-            -8.2206004858016968e-01 2.5441682338714600e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2391437530517578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1163 1.8500000000000000e+01 0 -1 1164
-            2.2500000000000000e+01 -2 -3 1165 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.3650416135787964e-01 2.8401935100555420e-01
-            2.4446329474449158e-01 -5.4215461015701294e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2313743591308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1166 2.1500000000000000e+01 0 -1 1167
-            4.4750000000000000e+02 -2 -3 1168 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.8188237547874451e-01 -7.0770967006683350e-01
-            5.1904022693634033e-01 -7.7693074941635132e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.2547096252441406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1169 3.8500000000000000e+01 0 -1 1170
-            1.0500000000000000e+01 -2 -3 1171 5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.1064568758010864e-01 2.3335392773151398e-01
-            -7.8815060853958130e-01 1.9936113059520721e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2640663146972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1172 2.5000000000000000e+00 0 -1 1173
-            5.5000000000000000e+00 -2 -3 1174 1330.</internalNodes>
-          <leafValues>
-            -4.3339151144027710e-01 4.2221209406852722e-01
-            -3.6630377173423767e-01 7.0252496004104614e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.2781063079833984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1175 1.5000000000000000e+00 0 -1 1176
-            3.5000000000000000e+00 -2 -3 1177 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            4.3612757325172424e-01 -8.5796296596527100e-01
-            2.6683306694030762e-01 -2.6626828312873840e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3000972747802734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1178 2.8150000000000000e+02 0 -1 1179
-            1.5500000000000000e+01 -2 -3 1180 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4552884101867676e-01 -5.2619069814682007e-01
-            -3.2900866866111755e-01 4.3776753544807434e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3018821716308594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1181 5.0000000000000000e-01 0 -1 1182
-            1.0500000000000000e+01 -2 -3 1183 2.6450000000000000e+02</internalNodes>
-          <leafValues>
-            -4.9559688568115234e-01 7.7334856986999512e-01
-            5.2793127298355103e-01 -2.3107841610908508e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3071189880371094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1184 4.6025000000000000e+03 0 -1 1185
-            1.8500000000000000e+01 -2 -3 1186 6.8250000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4181526899337769e-01 5.9372335672378540e-01
-            4.7619059681892395e-01 -1.1885309964418411e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3085533142089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1187 1.6350000000000000e+02 0 -1 1188
-            2.7500000000000000e+01 -2 -3 1189 142.</internalNodes>
-          <leafValues>
-            -4.1260236501693726e-01 2.7891275286674500e-01
-            -7.0465636253356934e-01 7.5747251510620117e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3357414245605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1190 5.0000000000000000e-01 0 -1 1191
-            5.6500000000000000e+01 -2 -3 1192 5.2150000000000000e+02</internalNodes>
-          <leafValues>
-            6.4778029918670654e-01 -1.1932287365198135e-01
-            -4.1650903224945068e-01 2.5428086519241333e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3322494506835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1193 8.2350000000000000e+02 0 -1 1194
-            8.2650000000000000e+02 -2 -3 1195 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8512652497738600e-03 6.5731632709503174e-01
-            4.5999297499656677e-01 -6.2862813472747803e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3176986694335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1196 1.3500000000000000e+01 0 -1 1197 70. -2 -3 1198
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -6.6250026226043701e-01 7.0421558618545532e-01
-            3.7571212649345398e-01 -2.3801752924919128e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3435741424560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1199 58282. 0 -1 1200 913. -2 -3 1201
-            1.0850000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6440210342407227e-01 2.8217953443527222e-01
-            -8.7045669555664062e-01 -8.5198663175106049e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.3617641448974609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1202 1.5000000000000000e+00 0 -1 1203
-            1.5000000000000000e+00 -2 -3 1204 1.7675000000000000e+03</internalNodes>
-          <leafValues>
-            -7.3653697967529297e-01 7.6336652040481567e-01
-            -2.4504181742668152e-01 5.5397576093673706e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3626171112060547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1205 3.5000000000000000e+00 0 -1 1206
-            1.5500000000000000e+01 -2 -3 1207 153.</internalNodes>
-          <leafValues>
-            -2.8129413723945618e-01 5.9369409084320068e-01
-            8.5296230390667915e-03 -6.9582235813140869e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3975147247314453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1208 5.0000000000000000e-01 0 -1 1209
-            1.0500000000000000e+01 -2 -3 1210 2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0083674192428589e-01 3.4897685050964355e-01
-            -3.5385957360267639e-01 7.3448055982589722e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3426464080810547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1211 2.7950000000000000e+02 0 -1 1212
-            5.4975000000000000e+03 -2 -3 1213 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.4607962965965271e-01 7.2142803668975830e-01
-            1.4154955744743347e-01 -5.4868251085281372e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3620513916015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1214 1.1500000000000000e+01 0 -1 1215
-            2.5550000000000000e+02 -2 -3 1216 72.</internalNodes>
-          <leafValues>
-            5.8608335256576538e-01 -9.2741596698760986e-01
-            1.9404979050159454e-01 -6.2724816799163818e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3949718475341797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1217 1.9500000000000000e+01 0 -1 1218
-            2.6950000000000000e+02 -2 -3 1219 5.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.2725256681442261e-02 -8.0563539266586304e-01
-            -4.9098122119903564e-01 3.2920604944229126e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.3907009124755859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1220 2.5500000000000000e+01 0 -1 1221
-            5.0000000000000000e-01 -2 -3 1222 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.3421282768249512e-01 -4.2710851877927780e-02
-            -8.4883642196655273e-01 -6.9108068943023682e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4569347381591797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1223 3.4500000000000000e+01 0 -1 1224
-            4.5000000000000000e+00 -2 -3 1225 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8448584675788879e-01 -3.0913567543029785e-01
-            6.9974571466445923e-01 -7.2145628929138184e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4406383514404297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1226 4.7500000000000000e+01 0 -1 1227 82. -2 -3 1228
-            476.</internalNodes>
-          <leafValues>
-            -5.3745925426483154e-01 5.8132463693618774e-01
-            3.7321224808692932e-01 -6.0607558488845825e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4350345611572266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1229 4.5000000000000000e+00 0 -1 1230 161. -2 -3 1231
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.7543116807937622e-01 -9.4070035219192505e-01
-            7.6428997516632080e-01 -5.6036282330751419e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.4673534393310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1232 1.2645000000000000e+03 0 -1 1233 1086. -2 -3 1234
-            9549.</internalNodes>
-          <leafValues>
-            -2.5683671236038208e-01 8.2724517583847046e-01
-            7.0296716690063477e-01 -3.6435613036155701e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5003284454345703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1235 1.2850000000000000e+02 0 -1 1236
-            8.6235000000000000e+03 -2 -3 1237 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9038841724395752e-01 3.4432813990861177e-03
-            -6.4016550779342651e-02 -9.3743759393692017e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5226799011230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1238 9.3500000000000000e+01 0 -1 1239 13. -2 -3 1240
-            4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7835944890975952e-01 3.3737751841545105e-01
-            -7.8561329841613770e-01 -3.7122413516044617e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.5086704254150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1241 6.5000000000000000e+00 0 -1 1242 786. -2 -3 1243
-            4.6850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7093526124954224e-01 4.2933362722396851e-01
-            -5.2467578649520874e-01 1.0233493894338608e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5434925079345703e+01</treeThreshold>
-          <internalNodes>
-            1 2 1244 5.0650000000000000e+02 0 -1 1245
-            6.3500000000000000e+01 -2 -3 1246 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.4057748317718506e-01 5.2575647830963135e-01
-            -5.7031583786010742e-01 4.1367042064666748e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5402851104736328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1247 5.0000000000000000e-01 0 -1 1248 857. -2 -3 1249
-            1.3850000000000000e+02</internalNodes>
-          <leafValues>
-            6.1650615930557251e-01 -2.0817196369171143e-01
-            -2.5478323921561241e-02 -7.6659142971038818e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.4968181610107422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1250 5.8500000000000000e+01 0 -1 1251
-            1.1500000000000000e+01 -2 -3 1252 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.2099618464708328e-01 -4.4126412272453308e-01
-            6.0897779464721680e-01 -7.8737002611160278e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5193428039550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1253 4.7500000000000000e+01 0 -1 1254 1423. -2 -3 1255
-            3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            4.8643037676811218e-02 -8.9261955022811890e-01
-            2.2524681687355042e-01 -6.2001824378967285e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5623695373535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1256 2.0500000000000000e+01 0 -1 1257
-            5.5000000000000000e+00 -2 -3 1258 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9247786998748779e-01 7.9152870178222656e-01
-            4.3026548624038696e-01 -1.4470897614955902e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5538761138916016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1259 18647. 0 -1 1260 8.7850000000000000e+02 -2 -3 1261
-            50.</internalNodes>
-          <leafValues>
-            1.3848523795604706e-01 -6.2565112113952637e-01
-            -3.0781137943267822e-01 5.9695762395858765e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5170146942138672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1262 2.0500000000000000e+01 0 -1 1263
-            9.5500000000000000e+01 -2 -3 1264 3.2450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9358770549297333e-01 5.9224104881286621e-01
-            -3.6861309409141541e-01 7.9692333936691284e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.5719684600830078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1265 1.5000000000000000e+00 0 -1 1266
-            3.4500000000000000e+01 -2 -3 1267 1.7725000000000000e+03</internalNodes>
-          <leafValues>
-            5.4953765869140625e-01 -4.1827628016471863e-01
-            3.4924019128084183e-02 -6.3267588615417480e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6021175384521484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1268 1.3500000000000000e+01 0 -1 1269
-            5.0000000000000000e-01 -2 -3 1270 3476.</internalNodes>
-          <leafValues>
-            3.0730965733528137e-01 -7.1827191114425659e-01
-            -3.3407485485076904e-01 3.0149033665657043e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6000087738037109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1271 2.1105000000000000e+03 0 -1 1272
-            1.2865000000000000e+03 -2 -3 1273 31.</internalNodes>
-          <leafValues>
-            -6.6124044358730316e-02 6.6440200805664062e-01
-            -7.0062541961669922e-01 8.8496291637420654e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6138973236083984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1274 6.5000000000000000e+00 0 -1 1275
-            4.0500000000000000e+01 -2 -3 1276 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.8909309804439545e-01 4.3955674767494202e-01
-            8.3517062664031982e-01 -5.2926576137542725e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6462543487548828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1277 1.5000000000000000e+00 0 -1 1278
-            1.9500000000000000e+01 -2 -3 1279 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2272623777389526e-01 -5.3356873989105225e-01
-            -4.3614375591278076e-01 1.6707921028137207e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6346103668212891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1280 5.4500000000000000e+01 0 -1 1281 3. -2 -3 1282
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.2645227909088135e-01 -9.1626834869384766e-01
-            4.3882593512535095e-01 -1.1643892526626587e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6447643280029297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1283 4.3500000000000000e+01 0 -1 1284
-            4.5000000000000000e+00 -2 -3 1285 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            2.8414136171340942e-01 -5.2052396535873413e-01
-            3.3975440263748169e-01 -4.2113724350929260e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6367126464843750e+01</treeThreshold>
-          <internalNodes>
-            1 2 1286 2.2500000000000000e+01 0 -1 1287
-            1.0535000000000000e+03 -2 -3 1288 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4179165363311768e-01 -7.4734365940093994e-01
-            5.4282104969024658e-01 -8.0516710877418518e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6575954437255859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1289 2.5000000000000000e+00 0 -1 1290
-            1.5000000000000000e+00 -2 -3 1291 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8550149649381638e-02 -9.4949018955230713e-01
-            2.0882803201675415e-01 -4.6319213509559631e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6657161712646484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1292 1.6115000000000000e+03 0 -1 1293 3672. -2 -3 1294
-            545.</internalNodes>
-          <leafValues>
-            8.2763051986694336e-01 -4.8815292119979858e-01
-            -5.2512788772583008e-01 8.1207208335399628e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6598300933837891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1295 6.0500000000000000e+01 0 -1 1296
-            1.1250000000000000e+02 -2 -3 1297 1.5350000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8857690542936325e-02 4.7229456901550293e-01
-            -8.1495660543441772e-01 7.3461961746215820e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6517520904541016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1298 9.4500000000000000e+01 0 -1 1299
-            4.8500000000000000e+01 -2 -3 1300 235.</internalNodes>
-          <leafValues>
-            4.8253452777862549e-01 -8.0779984593391418e-02
-            -9.4696474075317383e-01 9.1954904794692993e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6136314392089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1301 7.6150000000000000e+02 0 -1 1302
-            1.3500000000000000e+01 -2 -3 1303 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.7050821781158447e-01 -6.8645346164703369e-01
-            1.8845686316490173e-01 -6.1942416429519653e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6255367279052734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1304 2.5500000000000000e+01 0 -1 1305
-            9.5000000000000000e+00 -2 -3 1306 2.4243500000000000e+04</internalNodes>
-          <leafValues>
-            -8.6751174926757812e-01 1. 1.1905297636985779e-01
-            -7.7261626720428467e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6847282409667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1307 2.5245000000000000e+03 0 -1 1308
-            1.2500000000000000e+01 -2 -3 1309 19.</internalNodes>
-          <leafValues>
-            1.8480798602104187e-01 -4.1162934899330139e-01
-            -7.0126670598983765e-01 5.9191262722015381e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6736129760742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 1310 1.9500000000000000e+01 0 -1 1311
-            3.5000000000000000e+00 -2 -3 1312 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2743122577667236e-01 3.4077543020248413e-01
-            -5.2904611825942993e-01 6.4898627996444702e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7165416717529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1313 57. 0 -1 1314 7.5000000000000000e+00 -2 -3 1315
-            1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            -2.9288327693939209e-01 4.2928928136825562e-01
-            -5.1645982265472412e-01 3.7259963154792786e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6963829040527344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1316 1.5000000000000000e+00 0 -1 1317
-            1.5000000000000000e+00 -2 -3 1318 2.5550000000000000e+02</internalNodes>
-          <leafValues>
-            -4.8823645710945129e-01 6.1563092470169067e-01
-            6.7905879020690918e-01 -2.7743032574653625e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.6947120666503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1319 1.1545000000000000e+03 0 -1 1320 2066. -2 -3 1321
-            7.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -7.2975975275039673e-01 6.6057509183883667e-01
-            6.6289925575256348e-01 -1.6708238050341606e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.6795619964599609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1322 63. 0 -1 1323 5.7500000000000000e+01 -2 -3 1324
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.5150213241577148e-01 3.7273296713829041e-01
-            -8.2537877559661865e-01 8.6949664354324341e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7259391784667969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1325 1.0500000000000000e+01 0 -1 1326
-            1.6500000000000000e+01 -2 -3 1327 346.</internalNodes>
-          <leafValues>
-            4.6377313137054443e-01 -7.5801903009414673e-01
-            -3.5662418603897095e-01 9.6071028709411621e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7495296478271484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1328 6.0500000000000000e+01 0 -1 1329
-            1.5500000000000000e+01 -2 -3 1330 2.6850000000000000e+02</internalNodes>
-          <leafValues>
-            5.3055459260940552e-01 -6.3604164123535156e-01
-            -6.7990607023239136e-01 2.4123270809650421e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7374149322509766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1331 2.5000000000000000e+00 0 -1 1332
-            1.3500000000000000e+01 -2 -3 1333 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.0581423044204712e-01 5.8284395933151245e-01
-            3.0152860283851624e-01 -3.4942194819450378e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7766971588134766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1334 5.5000000000000000e+00 0 -1 1335 23. -2 -3 1336
-            3.0250000000000000e+02</internalNodes>
-          <leafValues>
-            -9.5462155342102051e-01 1. 3.9282312989234924e-01
-            -1.1600174754858017e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8006900787353516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1337 3955. 0 -1 1338 1.6500000000000000e+01 -2 -3 1339
-            3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4476998448371887e-01 -5.3807318210601807e-01
-            -6.4139670133590698e-01 3.3075565099716187e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7836151123046875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1340 1.4500000000000000e+01 0 -1 1341
-            4.2050000000000000e+02 -2 -3 1342 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.6126942634582520e-02 -8.9179468154907227e-01
-            2.5128620862960815e-01 -4.3012529611587524e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7504901885986328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1343 3.5000000000000000e+00 0 -1 1344
-            2.1500000000000000e+01 -2 -3 1345 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9118273258209229e-01 5.3941005468368530e-01
-            4.0820264816284180e-01 -3.3124980330467224e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7869743347167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1346 8.5000000000000000e+00 0 -1 1347 8240. -2 -3 1348
-            1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.8303586402907968e-03 -7.9149729013442993e-01
-            3.6484044790267944e-01 -2.6800584793090820e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7688228607177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1349 1.2135000000000000e+03 0 -1 1350 75. -2 -3 1351
-            5.6750000000000000e+02</internalNodes>
-          <leafValues>
-            -3.7686902284622192e-01 5.8311319351196289e-01
-            7.0945566892623901e-01 -1.8151518702507019e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7513351440429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1352 3.5000000000000000e+00 0 -1 1353 35. -2 -3 1354
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.6617668867111206e-01 1. 4.0123063325881958e-01
-            -1.7487519979476929e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.7691390991210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1355 2.3050000000000000e+02 0 -1 1356
-            1.1500000000000000e+01 -2 -3 1357 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4078394174575806e-01 1.7803618311882019e-01
-            6.0750162601470947e-01 -9.6443849802017212e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8156455993652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1358 6.5000000000000000e+00 0 -1 1359
-            1.0500000000000000e+01 -2 -3 1360 354.</internalNodes>
-          <leafValues>
-            4.6506500244140625e-01 -3.7838381528854370e-01
-            -3.8703271746635437e-01 5.6163036823272705e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8427524566650391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1361 1.2500000000000000e+01 0 -1 1362
-            4.5000000000000000e+00 -2 -3 1363 449.</internalNodes>
-          <leafValues>
-            5.1386022567749023e-01 -6.1507451534271240e-01
-            3.0157905817031860e-01 -6.5344727039337158e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8548820495605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1364 5.0000000000000000e-01 0 -1 1365
-            1.5000000000000000e+00 -2 -3 1366 3.8950000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3223056793212891e-01 5.4063457250595093e-01
-            9.0788081288337708e-02 -5.4981482028961182e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8257041931152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1367 1.6650000000000000e+02 0 -1 1368
-            5.0000000000000000e-01 -2 -3 1369 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.8060472011566162e-01 -2.9178059101104736e-01
-            -7.8990536928176880e-01 9.2143142223358154e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8675960540771484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1370 1.8500000000000000e+01 0 -1 1371
-            2.3500000000000000e+01 -2 -3 1372 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.0728912465274334e-03 -8.4625685214996338e-01
-            4.8941537737846375e-01 -1.3043193519115448e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9024429321289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1373 8.5000000000000000e+00 0 -1 1374
-            8.1295000000000000e+03 -2 -3 1375 1.1250000000000000e+02</internalNodes>
-          <leafValues>
-            1.5426757931709290e-01 -7.5539046525955200e-01
-            -3.0081889033317566e-01 3.4846922755241394e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8698005676269531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1376 9.5000000000000000e+00 0 -1 1377
-            5.5000000000000000e+00 -2 -3 1378 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7566885948181152e-01 5.3590404987335205e-01
-            -3.2642310857772827e-01 3.3310726284980774e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8178993225097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1379 2.6450000000000000e+02 0 -1 1380
-            4.6255000000000000e+03 -2 -3 1381 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2790592312812805e-01 3.8349342346191406e-01
-            3.5417640209197998e-01 -5.1901257038116455e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8603790283203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 1382 7.7450000000000000e+02 0 -1 1383
-            5.4450000000000000e+02 -2 -3 1384 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2479729652404785e-01 -6.4129936695098877e-01
-            -3.8530099391937256e-01 4.2106175422668457e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9316322326660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1385 1.2285000000000000e+03 0 -1 1386 19974. -2 -3 1387
-            2.0675000000000000e+03</internalNodes>
-          <leafValues>
-            -3.2134270668029785e-01 6.0310727357864380e-01
-            7.1253037452697754e-01 -1.8411901593208313e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.8982051849365234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1388 2254. 0 -1 1389 23971. -2 -3 1390
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.3044491410255432e-02 8.1400823593139648e-01
-            3.9543354511260986e-01 -4.9717214703559875e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9231285095214844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1391 7888. 0 -1 1392 1.2500000000000000e+01 -2 -3 1393
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.9114888906478882e-01 1. 2.4923273921012878e-01
-            -3.9778175950050354e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9200939178466797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1394 8.2500000000000000e+01 0 -1 1395
-            2.5000000000000000e+00 -2 -3 1396 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9092748165130615e-01 -6.6723209619522095e-01
-            4.0493550896644592e-01 -2.8249517083168030e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9109848022460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1397 1.0500000000000000e+01 0 -1 1398
-            3.4150000000000000e+02 -2 -3 1399 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.1704797297716141e-01 -7.8680926561355591e-01
-            5.4690092802047729e-01 -9.1091230511665344e-02</leafValues></_>
-        <_>
-          <treeThreshold>3.9430786132812500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1400 7.5000000000000000e+00 0 -1 1401
-            5.6350000000000000e+02 -2 -3 1402 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -1. 5.3584295511245728e-01 -1.1434395611286163e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9888351440429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1403 576. 0 -1 1404 2.3765000000000000e+03 -2 -3 1405
-            1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3801420927047729e-01 -7.2940248250961304e-01
-            -9.7766503691673279e-02 4.5756503939628601e-01</leafValues></_>
-        <_>
-          <treeThreshold>3.9605831146240234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1406 5.5000000000000000e+00 0 -1 1407
-            6.5000000000000000e+00 -2 -3 1408 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3598860502243042e-01 6.3315272331237793e-01
-            1.0997077822685242e-01 -4.5688989758491516e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0259593963623047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1409 1.2785000000000000e+03 0 -1 1410
-            5.0000000000000000e-01 -2 -3 1411 1.0150000000000000e+02</internalNodes>
-          <leafValues>
-            2.8614109754562378e-01 -3.0422577261924744e-01
-            -5.3765338659286499e-01 7.5021845102310181e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0646686553955078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1412 9.3750000000000000e+02 0 -1 1413
-            2.5500000000000000e+01 -2 -3 1414 6.4650000000000000e+02</internalNodes>
-          <leafValues>
-            -1.8467088043689728e-01 3.8709565997123718e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.0781440734863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1415 5.0000000000000000e-01 0 -1 1416 62. -2 -3 1417
-            5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            6.4194250106811523e-01 -6.9881826639175415e-01
-            -3.3652466535568237e-01 2.9932817816734314e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0840915679931641e+01</treeThreshold>
-          <internalNodes>
-            1 2 1418 2.5000000000000000e+00 0 -1 1419 13192. -2 -3 1420
-            2.4950000000000000e+02</internalNodes>
-          <leafValues>
-            -9.9075198173522949e-01 8.7482362985610962e-01
-            2.9631823301315308e-01 -2.0155780017375946e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1011356353759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1421 4.8150000000000000e+02 0 -1 1422
-            1.0450000000000000e+02 -2 -3 1423 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.5319704785943031e-02 -7.4390411376953125e-01
-            -8.1089955568313599e-01 7.6437503099441528e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0876789093017578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1424 5.5000000000000000e+00 0 -1 1425
-            2.5000000000000000e+00 -2 -3 1426 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1. -9.8024749755859375e-01 3.7663710117340088e-01
-            -1.3456873595714569e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0677371978759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1427 2.1500000000000000e+01 0 -1 1428
-            1.1125000000000000e+03 -2 -3 1429 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5568805187940598e-02 -8.6155319213867188e-01
-            3.0837088823318481e-01 -1.9941620528697968e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0941162109375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1430 9.4500000000000000e+01 0 -1 1431 447. -2 -3 1432
-            8.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0531620085239410e-01 -6.4759564399719238e-01
-            2.6378956437110901e-01 -6.0503029823303223e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.0695613861083984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1433 8.1450000000000000e+02 0 -1 1434
-            9.9250000000000000e+02 -2 -3 1435 2.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1355805397033691e-01 3.9234723895788193e-02
-            4.3808567523956299e-01 -7.3097014427185059e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1197418212890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1436 1.8769500000000000e+04 0 -1 1437 1329. -2 -3 1438
-            5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0180602073669434e-01 -3.4298053383827209e-01
-            6.9242316484451294e-01 -3.7215092778205872e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1157611846923828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1439 3.1500000000000000e+01 0 -1 1440
-            1.8500000000000000e+01 -2 -3 1441 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.7518281936645508e-01 -7.6596146821975708e-01
-            5.7309043407440186e-01 -3.9805334061384201e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.0718166351318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1442 9.3500000000000000e+01 0 -1 1443
-            8.5000000000000000e+00 -2 -3 1444 1.6950000000000000e+02</internalNodes>
-          <leafValues>
-            7.0507103204727173e-01 -4.3868264555931091e-01
-            4.2583593726158142e-01 -4.3944749236106873e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1168849945068359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1445 1.5000000000000000e+00 0 -1 1446
-            1.5500000000000000e+01 -2 -3 1447 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.8355963230133057e-01 8.2266020774841309e-01
-            4.5068329572677612e-01 -1.3382685184478760e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1473163604736328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1448 5.6500000000000000e+01 0 -1 1449
-            3.3500000000000000e+01 -2 -3 1450 2.1550000000000000e+02</internalNodes>
-          <leafValues>
-            2.5085982680320740e-01 -3.7931889295578003e-01
-            6.7997491359710693e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>4.1634220123291016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1451 5.4500000000000000e+01 0 -1 1452
-            9.5000000000000000e+00 -2 -3 1453 1.7250000000000000e+02</internalNodes>
-          <leafValues>
-            -7.9712128639221191e-01 8.5313194990158081e-01
-            1.6105654835700989e-01 -9.5611929893493652e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1978507995605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1454 1.1615000000000000e+03 0 -1 1455
-            2.0525000000000000e+03 -2 -3 1456 5.8650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.1788591146469116e-01 4.8950648307800293e-01
-            4.8551353812217712e-01 -1.9422738254070282e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2004768371582031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1457 4.6500000000000000e+01 0 -1 1458
-            3.5000000000000000e+00 -2 -3 1459 7.0350000000000000e+02</internalNodes>
-          <leafValues>
-            3.9823031425476074e-01 -6.6477078199386597e-01
-            -1.1496587097644806e-01 4.9930962920188904e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.1885951995849609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1460 4.4500000000000000e+01 0 -1 1461
-            3.5000000000000000e+00 -2 -3 1462 4.</internalNodes>
-          <leafValues>
-            4.4042432308197021e-01 -1.1881566792726517e-01
-            8.4207451343536377e-01 -8.6268407106399536e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2072120666503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1463 2.0500000000000000e+01 0 -1 1464 10. -2 -3 1465
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8040562868118286e-01 1. 3.3258756995201111e-01
-            -1.7096966505050659e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2217323303222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1466 1.3500000000000000e+01 0 -1 1467 47. -2 -3 1468
-            1.3325000000000000e+03</internalNodes>
-          <leafValues>
-            -6.6619759798049927e-01 5.1798510551452637e-01
-            -1.2162621133029461e-03 7.3543995618820190e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2318325042724609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1469 4.5000000000000000e+00 0 -1 1470
-            1.9500000000000000e+01 -2 -3 1471 1.5585000000000000e+03</internalNodes>
-          <leafValues>
-            -9.6737003326416016e-01 6.0924607515335083e-01
-            5.8938968181610107e-01 -2.8636392951011658e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2444244384765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1472 2.7500000000000000e+01 0 -1 1473
-            1.8247500000000000e+04 -2 -3 1474 6.5605000000000000e+03</internalNodes>
-          <leafValues>
-            -1.1921727657318115e-01 4.3995112180709839e-01
-            -7.6667350530624390e-01 4.6777427196502686e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2317867279052734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1475 4.5000000000000000e+00 0 -1 1476 15. -2 -3 1477
-            3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.6039277315139771e-01 1. 3.9408209919929504e-01
-            -1.2637579441070557e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2575748443603516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1478 367. 0 -1 1479 2578. -2 -3 1480
-            2.0050000000000000e+02</internalNodes>
-          <leafValues>
-            5.2356463670730591e-01 -6.4678192138671875e-01
-            3.1403809785842896e-01 -3.7955451011657715e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2238155364990234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1481 5.4500000000000000e+01 0 -1 1482
-            1.8450000000000000e+02 -2 -3 1483 5.6550000000000000e+02</internalNodes>
-          <leafValues>
-            -7.5117689371109009e-01 3.9905190467834473e-01
-            1.0141634941101074e-01 -6.3857173919677734e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2032226562500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1484 3.5500000000000000e+01 0 -1 1485
-            1.1500000000000000e+01 -2 -3 1486 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1570602655410767e-01 3.6179527640342712e-01
-            4.0053242444992065e-01 -2.0592956244945526e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2406646728515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1487 3.6150000000000000e+02 0 -1 1488
-            7.6500000000000000e+01 -2 -3 1489 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1660387516021729e-01 -3.7647891044616699e-01
-            6.7929941415786743e-01 -8.0690664052963257e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2598564147949219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1490 3.2350000000000000e+02 0 -1 1491
-            9.5000000000000000e+00 -2 -3 1492 1.0350000000000000e+02</internalNodes>
-          <leafValues>
-            2.8338834643363953e-01 -2.8749933838844299e-01
-            -4.2244365811347961e-01 8.4098398685455322e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2448162078857422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1493 6.8500000000000000e+01 0 -1 1494
-            1.9500000000000000e+01 -2 -3 1495 2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            4.4642934203147888e-01 -8.8521170616149902e-01
-            3.8606628775596619e-01 -1.5039834380149841e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2684196472167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1496 1.1350000000000000e+02 0 -1 1497
-            1.2195000000000000e+03 -2 -3 1498 465.</internalNodes>
-          <leafValues>
-            -3.4444883465766907e-01 2.3603120446205139e-01
-            7.6531344652175903e-01 -3.9807590842247009e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.2983776092529297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1499 1.5725000000000000e+03 0 -1 1500
-            7.6500000000000000e+01 -2 -3 1501 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2652869820594788e-01 2.9957908391952515e-01
-            3.3552268147468567e-01 -7.9458123445510864e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3334823608398438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1502 2.2500000000000000e+01 0 -1 1503
-            1.5000000000000000e+00 -2 -3 1504 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7209235429763794e-01 3.5104992985725403e-01
-            3.1476601958274841e-02 -5.8574450016021729e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3509834289550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1505 51199. 0 -1 1506 5.5950000000000000e+02 -2 -3 1507
-            9.3125000000000000e+03</internalNodes>
-          <leafValues>
-            3.0665323138237000e-01 -1.8138632178306580e-01
-            -9.8618561029434204e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.3432380676269531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1508 2.3365000000000000e+03 0 -1 1509 1614. -2 -3 1510
-            2.9285000000000000e+03</internalNodes>
-          <leafValues>
-            -6.6426819562911987e-01 5.2347922325134277e-01
-            6.3229858875274658e-01 -7.7455088496208191e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.3682022094726562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1511 1.4850000000000000e+02 0 -1 1512
-            3.4500000000000000e+01 -2 -3 1513 4351.</internalNodes>
-          <leafValues>
-            -4.1966313123703003e-01 2.4964161217212677e-01
-            -9.2960160970687866e-01 -1.1052240431308746e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3838462829589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 1514 1.5000000000000000e+00 0 -1 1515
-            5.6150000000000000e+02 -2 -3 1516 2.5215000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1278488636016846e-01 4.3191543221473694e-01
-            -4.5729264616966248e-01 2.2259603440761566e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3913276672363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1517 452. 0 -1 1518 1.5850000000000000e+02 -2 -3 1519
-            3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7823349833488464e-01 -4.4655042886734009e-01
-            -7.6742780208587646e-01 1.3798709213733673e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3755275726318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 1520 1.2150000000000000e+02 0 -1 1521
-            6.1500000000000000e+01 -2 -3 1522 2.4150000000000000e+02</internalNodes>
-          <leafValues>
-            5.8016028255224228e-02 -5.8355945348739624e-01
-            -6.6341340541839600e-01 4.4974878430366516e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3783382415771484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1523 1.0750000000000000e+02 0 -1 1524
-            4.5000000000000000e+00 -2 -3 1525 1080.</internalNodes>
-          <leafValues>
-            1.8615058064460754e-01 -4.8687478899955750e-01
-            4.3972969055175781e-01 -9.3779921531677246e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.3861518859863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1526 8.6500000000000000e+01 0 -1 1527
-            1.5000000000000000e+00 -2 -3 1528 1.1050000000000000e+02</internalNodes>
-          <leafValues>
-            4.7667163610458374e-01 -4.0568494796752930e-01
-            -6.4215010404586792e-01 2.9706746339797974e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4278926849365234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1529 1.7500000000000000e+01 0 -1 1530
-            1.4500000000000000e+01 -2 -3 1531 7.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9139021635055542e-01 6.4281481504440308e-01
-            1.8875285983085632e-02 8.0112278461456299e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4180038452148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1532 1.3500000000000000e+01 0 -1 1533
-            3.7500000000000000e+01 -2 -3 1534 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.8149468898773193e-01 3.6302325129508972e-01
-            2.1482136845588684e-01 -4.8260265588760376e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4126861572265625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1535 1.1500000000000000e+01 0 -1 1536
-            4.1450000000000000e+02 -2 -3 1537 448.</internalNodes>
-          <leafValues>
-            6.4174473285675049e-01 -5.1509088277816772e-01
-            3.2752755284309387e-01 -4.6536535024642944e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4402042388916016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1538 2.3500000000000000e+01 0 -1 1539
-            1.5000000000000000e+00 -2 -3 1540 1.2750000000000000e+02</internalNodes>
-          <leafValues>
-            4.6208882704377174e-03 -7.9509699344635010e-01
-            2.7518290281295776e-01 -5.4167103767395020e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4075366973876953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1541 5.0000000000000000e-01 0 -1 1542
-            1.1500000000000000e+01 -2 -3 1543 1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2465864419937134e-01 6.2209093570709229e-01
-            -4.6270170807838440e-01 1.2467093765735626e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4579692840576172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1544 1.8500000000000000e+01 0 -1 1545
-            6.9500000000000000e+01 -2 -3 1546 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0432658195495605e-01 -1.5816394984722137e-01
-            -6.3987523317337036e-01 1.9685916602611542e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4788379669189453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1547 1.2850000000000000e+02 0 -1 1548
-            1.3644850000000000e+05 -2 -3 1549 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.3887935876846313e-01 -8.6476135253906250e-01
-            5.3407603502273560e-01 -1.0505830496549606e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4465953826904297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1550 1.0077500000000000e+04 0 -1 1551
-            1.9500000000000000e+01 -2 -3 1552 2.8365000000000000e+03</internalNodes>
-          <leafValues>
-            1.8253329396247864e-01 -5.4899621009826660e-01
-            7.3290371894836426e-01 -1.2869638204574585e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4705356597900391e+01</treeThreshold>
-          <internalNodes>
-            1 2 1553 7.0500000000000000e+01 0 -1 1554
-            2.6950000000000000e+02 -2 -3 1555 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            1.6822533309459686e-01 -6.7410588264465332e-01
-            2.3940414190292358e-01 -7.4502784013748169e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4884269714355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1556 1680. 0 -1 1557 7.5000000000000000e+00 -2 -3 1558
-            3.5850000000000000e+02</internalNodes>
-          <leafValues>
-            2.8662183880805969e-01 -9.1832697391510010e-01
-            1.7891472578048706e-01 -5.9693121910095215e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4728557586669922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1559 1.7555000000000000e+03 0 -1 1560 19. -2 -3 1561
-            2332.</internalNodes>
-          <leafValues>
-            -5.2603626251220703e-01 7.1634864807128906e-01
-            -6.1052620410919189e-01 -4.9342345446348190e-03</leafValues></_>
-        <_>
-          <treeThreshold>4.4819171905517578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1562 1.3750000000000000e+02 0 -1 1563
-            1.5750000000000000e+02 -2 -3 1564 1.3050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.0166075825691223e-02 5.8633291721343994e-01
-            -8.1866687536239624e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.4643035888671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1565 6.3500000000000000e+01 0 -1 1566
-            1.9500000000000000e+01 -2 -3 1567 552.</internalNodes>
-          <leafValues>
-            -7.2267347574234009e-01 2.3417486250400543e-01
-            4.9026021361351013e-01 -6.2466406822204590e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4639259338378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1568 3.5000000000000000e+00 0 -1 1569
-            2.4500000000000000e+01 -2 -3 1570 8.2150000000000000e+02</internalNodes>
-          <leafValues>
-            -3.5061278939247131e-01 4.3918311595916748e-01
-            4.6116840094327927e-02 -6.6601943969726562e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.4594688415527344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1571 1.3500000000000000e+01 0 -1 1572
-            8.5000000000000000e+00 -2 -3 1573 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.5554552674293518e-02 -8.3599025011062622e-01
-            6.3880258798599243e-01 -4.4572211802005768e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.4976432800292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1574 9.0350000000000000e+02 0 -1 1575
-            2.0500000000000000e+01 -2 -3 1576 1.2615000000000000e+03</internalNodes>
-          <leafValues>
-            3.8174423575401306e-01 -2.4711053073406219e-01
-            -7.3085212707519531e-01 1.3097274303436279e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5154560089111328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1577 3.2500000000000000e+01 0 -1 1578 41. -2 -3 1579
-            1153.</internalNodes>
-          <leafValues>
-            1.3735578954219818e-01 -9.0119731426239014e-01
-            -8.0212074518203735e-01 1.7812842130661011e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5438049316406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 1580 3.4500000000000000e+01 0 -1 1581
-            1.4500000000000000e+01 -2 -3 1582 1.8650000000000000e+02</internalNodes>
-          <leafValues>
-            7.1418809890747070e-01 -4.1756910085678101e-01
-            3.2309561967849731e-01 -6.6359835863113403e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5376655578613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 1583 5.7500000000000000e+01 0 -1 1584
-            3.4835000000000000e+03 -2 -3 1585 1.6677500000000000e+04</internalNodes>
-          <leafValues>
-            9.3545570969581604e-02 -6.6382712125778198e-01
-            -6.0366630554199219e-01 3.5915172100067139e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5476417541503906e+01</treeThreshold>
-          <internalNodes>
-            1 2 1586 1.2235000000000000e+03 0 -1 1587
-            5.0000000000000000e-01 -2 -3 1588 2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            9.9763244390487671e-02 -5.6198817491531372e-01
-            5.3732144832611084e-01 -2.9778870940208435e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5174198150634766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1589 2.5750000000000000e+02 0 -1 1590
-            3.4500000000000000e+01 -2 -3 1591 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.3968584537506104e-01 9.1056388616561890e-01
-            2.8303310275077820e-01 -3.0222162604331970e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5571937561035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1592 3.5500000000000000e+01 0 -1 1593
-            2.5000000000000000e+00 -2 -3 1594 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            8.1757766008377075e-01 -9.3560528755187988e-01
-            4.8287272453308105e-01 -1.0781970620155334e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5820465087890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1595 2.6500000000000000e+01 0 -1 1596
-            9.5000000000000000e+00 -2 -3 1597 64.</internalNodes>
-          <leafValues>
-            1.6339369118213654e-01 -4.8592147231101990e-01
-            -8.0971640348434448e-01 4.2723599076271057e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.5875530242919922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1598 4.8150000000000000e+02 0 -1 1599
-            1.9285000000000000e+03 -2 -3 1600 1.1625000000000000e+03</internalNodes>
-          <leafValues>
-            -7.9999005794525146e-01 1.8668703734874725e-01
-            6.2736529111862183e-01 -1.2364284694194794e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6327709197998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1601 8.9450000000000000e+02 0 -1 1602
-            1.5000000000000000e+00 -2 -3 1603 6634.</internalNodes>
-          <leafValues>
-            1.7092481255531311e-02 -6.5232801437377930e-01
-            5.6317013502120972e-01 -4.4582167267799377e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6148258209228516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1604 43039. 0 -1 1605 1.5500000000000000e+01 -2 -3 1606
-            3.8225000000000000e+03</internalNodes>
-          <leafValues>
-            -1. 4.9083131551742554e-01 -3.1666326522827148e-01
-            6.4053624868392944e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6105995178222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 1607 3.5000000000000000e+00 0 -1 1608 21. -2 -3 1609
-            2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7276186943054199e-01 1. 3.7125155329704285e-01
-            -1.5020866692066193e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6445560455322266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1610 1.4450000000000000e+02 0 -1 1611
-            1.0500000000000000e+01 -2 -3 1612 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.7516593486070633e-02 -5.1498800516128540e-01
-            8.0552762746810913e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>4.6819828033447266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1613 8.8500000000000000e+01 0 -1 1614
-            5.0000000000000000e-01 -2 -3 1615 3.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.4280284345149994e-01 -5.9024065732955933e-01
-            4.4487208127975464e-01 -1.7842440307140350e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6427459716796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 1616 3.1500000000000000e+01 0 -1 1617
-            3.6500000000000000e+01 -2 -3 1618 1.1135000000000000e+03</internalNodes>
-          <leafValues>
-            -3.8508945703506470e-01 5.4531073570251465e-01
-            -3.9237090945243835e-01 5.3639191389083862e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6388378143310547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1619 1.3495000000000000e+03 0 -1 1620
-            1.2865000000000000e+03 -2 -3 1621 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.9079591631889343e-02 7.2226065397262573e-01
-            1.6772003471851349e-01 -8.0866611003875732e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6664485931396484e+01</treeThreshold>
-          <internalNodes>
-            1 2 1622 5.7650000000000000e+02 0 -1 1623 38772. -2 -3 1624
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.7578887939453125e-01 4.5766559243202209e-01
-            3.2720005512237549e-01 -3.8240414857864380e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6878482818603516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1625 1.6500000000000000e+01 0 -1 1626
-            3.1050000000000000e+02 -2 -3 1627 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.3941693603992462e-02 -8.9211910963058472e-01
-            -7.0304632186889648e-01 2.1399846673011780e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.6925651550292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1628 1.0285000000000000e+03 0 -1 1629
-            2.7950000000000000e+02 -2 -3 1630 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.1127714514732361e-01 -1.3439148664474487e-01
-            -7.5179332494735718e-01 3.4586694836616516e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7010379791259766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1631 2.4500000000000000e+01 0 -1 1632
-            1.1265000000000000e+03 -2 -3 1633 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5471497774124146e-01 8.4728397428989410e-02
-            -6.6250604391098022e-01 5.0282490253448486e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7003398895263672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1634 5.5000000000000000e+00 0 -1 1635
-            1.3500000000000000e+01 -2 -3 1636 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1465358734130859e-01 5.2310514450073242e-01
-            -6.9816145114600658e-03 -6.2556844949722290e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7450687408447266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1637 8.5000000000000000e+00 0 -1 1638
-            1.9500000000000000e+01 -2 -3 1639 7.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8994300067424774e-01 -5.1936614513397217e-01
-            -5.1978632807731628e-02 5.4172980785369873e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7289505004882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1640 4.5000000000000000e+00 0 -1 1641
-            5.0000000000000000e-01 -2 -3 1642 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3673211336135864e-01 4.2628908157348633e-01
-            -6.1518812179565430e-01 3.8786195218563080e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.7609291076660156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1643 9.0500000000000000e+01 0 -1 1644
-            1.7500000000000000e+01 -2 -3 1645 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5377960875630379e-02 8.4010601043701172e-01
-            -5.5201697349548340e-01 9.3266852200031281e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.6873203277587891e+01</treeThreshold>
-          <internalNodes>
-            1 2 1646 181. 0 -1 1647 3.2500000000000000e+01 -2 -3 1648
-            1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.4539522826671600e-01 3.0167981982231140e-01
-            -7.8757899999618530e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.7333202362060547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1649 3.5000000000000000e+00 0 -1 1650
-            3.6450000000000000e+02 -2 -3 1651 131.</internalNodes>
-          <leafValues>
-            4.5999684929847717e-01 -8.5532951354980469e-01
-            -7.6767379045486450e-01 -4.0166407823562622e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.7809810638427734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1652 2.3415000000000000e+03 0 -1 1653
-            5.5550000000000000e+02 -2 -3 1654 7.8650000000000000e+02</internalNodes>
-          <leafValues>
-            1.0606591403484344e-01 -7.2960245609283447e-01
-            4.7661080956459045e-01 -1.5633082389831543e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8187953948974609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1655 5.0500000000000000e+01 0 -1 1656
-            2.7500000000000000e+01 -2 -3 1657 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.6588409543037415e-01 2.0847728848457336e-01
-            5.3038245439529419e-01 -9.1906154155731201e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8385017395019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1658 2.5000000000000000e+00 0 -1 1659
-            5.0000000000000000e-01 -2 -3 1660 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.3917874097824097e-01 3.5120227932929993e-01
-            4.4822514057159424e-02 -5.4643929004669189e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7983116149902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1661 1.7500000000000000e+01 0 -1 1662 46. -2 -3 1663
-            4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7424659729003906e-01 4.0549939870834351e-01
-            -4.3008446693420410e-01 3.0111113190650940e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7767936706542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1664 3.7250000000000000e+02 0 -1 1665
-            1.9500000000000000e+01 -2 -3 1666 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.1517898142337799e-01 3.3102101087570190e-01
-            -7.5989711284637451e-01 2.0524039864540100e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.7636989593505859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1667 5.0000000000000000e-01 0 -1 1668
-            3.5000000000000000e+00 -2 -3 1669 2.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.5064278841018677e-01 4.6156671643257141e-01
-            -3.4933045506477356e-01 3.1964045763015747e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8035350799560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1670 5.5000000000000000e+00 0 -1 1671
-            1.6500000000000000e+01 -2 -3 1672 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.4588496685028076e-01 -5.2224334329366684e-02 1.
-            -9.5129132270812988e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8075088500976562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1673 5.8500000000000000e+01 0 -1 1674
-            1.7500000000000000e+01 -2 -3 1675 60.</internalNodes>
-          <leafValues>
-            3.9737168699502945e-02 -4.9285057187080383e-01
-            5.5449837446212769e-01 -5.8396834135055542e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8273761749267578e+01</treeThreshold>
-          <internalNodes>
-            1 2 1676 5.5000000000000000e+00 0 -1 1677
-            2.4500000000000000e+01 -2 -3 1678 5.5450000000000000e+02</internalNodes>
-          <leafValues>
-            1.7725417017936707e-01 -8.1391674280166626e-01
-            -5.4412531852722168e-01 2.6674869656562805e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8013420104980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 1679 8.5000000000000000e+00 0 -1 1680 1955. -2 -3 1681
-            96.</internalNodes>
-          <leafValues>
-            1.7242313921451569e-01 -9.2252993583679199e-01
-            1.7602242529392242e-01 -6.7200791835784912e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8326412200927734e+01</treeThreshold>
-          <internalNodes>
-            1 2 1682 3.0104500000000000e+04 0 -1 1683
-            2.8050000000000000e+02 -2 -3 1684 2.7154500000000000e+04</internalNodes>
-          <leafValues>
-            3.1299278140068054e-01 -1.8952211737632751e-01
-            -9.5317900180816650e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>4.8304637908935547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1685 5.4500000000000000e+01 0 -1 1686
-            4.4650000000000000e+02 -2 -3 1687 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1255780756473541e-01 -8.1515192985534668e-01
-            6.9879400730133057e-01 -2.3700682446360588e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8183525085449219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1688 2.5000000000000000e+00 0 -1 1689 128. -2 -3 1690
-            3.5450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0286073684692383e-01 8.9803677797317505e-01
-            3.0971682071685791e-01 -2.6458665728569031e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8420330047607422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1691 4.5000000000000000e+00 0 -1 1692 1348. -2 -3 1693
-            1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1627983450889587e-01 -9.3673717975616455e-01
-            2.7623519301414490e-01 -2.4342669546604156e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8284450531005859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1694 5.0350000000000000e+02 0 -1 1695
-            5.1950000000000000e+02 -2 -3 1696 7.8350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.7904888391494751e-01 9.6044069528579712e-01
-            7.1280044317245483e-01 -2.8820293024182320e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8518047332763672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1697 7.3500000000000000e+01 0 -1 1698
-            1.0750000000000000e+02 -2 -3 1699 1.0508500000000000e+04</internalNodes>
-          <leafValues>
-            2.3359699547290802e-01 -3.2509902119636536e-01
-            -5.7240724563598633e-01 6.9403934478759766e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8881092071533203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1700 1.9500000000000000e+01 0 -1 1701
-            2.5000000000000000e+00 -2 -3 1702 5.7450000000000000e+02</internalNodes>
-          <leafValues>
-            7.0620238780975342e-02 -6.4059627056121826e-01
-            -5.6051510572433472e-01 3.6304420232772827e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8674976348876953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1703 1.6500000000000000e+01 0 -1 1704 2698. -2 -3 1705
-            1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.4122928380966187e-01 1. 3.0906781554222107e-01
-            -2.2473946213722229e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8650527954101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1706 285. 0 -1 1707 2.5000000000000000e+00 -2 -3 1708
-            2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.1351448297500610e-01 6.1334443092346191e-01
-            -5.3962910175323486e-01 9.5953509211540222e-02</leafValues></_>
-        <_>
-          <treeThreshold>4.8581436157226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1709 1.5000000000000000e+00 0 -1 1710
-            7.2500000000000000e+01 -2 -3 1711 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.5018194913864136e-01 5.4274356365203857e-01
-            3.2649326324462891e-01 -4.6085461974143982e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.8824050903320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1712 7.5000000000000000e+00 0 -1 1713
-            1.3500000000000000e+01 -2 -3 1714 1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            -9.4072926044464111e-01 4.9135723710060120e-01
-            -3.6922344565391541e-01 2.8209823369979858e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9051761627197266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1715 1.2945000000000000e+03 0 -1 1716
-            2.5000000000000000e+00 -2 -3 1717 12557.</internalNodes>
-          <leafValues>
-            2.2771342098712921e-01 -3.0103012919425964e-01
-            8.6664509773254395e-01 -6.4184981584548950e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9400878906250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1718 3.7500000000000000e+01 0 -1 1719
-            1.5000000000000000e+00 -2 -3 1720 1.7395000000000000e+03</internalNodes>
-          <leafValues>
-            5.5372547358274460e-02 -6.4846998453140259e-01
-            -5.1582384109497070e-01 3.7294328212738037e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9400951385498047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1721 1.9500000000000000e+01 0 -1 1722
-            2.7500000000000000e+01 -2 -3 1723 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.0849715210497379e-02 -6.8436485528945923e-01
-            -2.9969093203544617e-01 8.8249796628952026e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9150127410888672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1724 6695. 0 -1 1725 4.1995000000000000e+03 -2 -3 1726
-            3060.</internalNodes>
-          <leafValues>
-            6.0968101024627686e-01 -1.8973879516124725e-01
-            6.7397463321685791e-01 -2.9114890098571777e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9635650634765625e+01</treeThreshold>
-          <internalNodes>
-            1 2 1727 1.2185000000000000e+03 0 -1 1728
-            6.7250000000000000e+02 -2 -3 1729 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.2244133949279785e-01 8.5333442687988281e-01
-            -6.7660027742385864e-01 4.8552277684211731e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9185047149658203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1730 4.6500000000000000e+01 0 -1 1731
-            1.7535000000000000e+03 -2 -3 1732 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1635149270296097e-01 -4.5060265064239502e-01
-            -8.2891207933425903e-01 8.0917561054229736e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9572048187255859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1733 3.5000000000000000e+00 0 -1 1734
-            1.2500000000000000e+01 -2 -3 1735 4.4115000000000000e+03</internalNodes>
-          <leafValues>
-            -7.0214819908142090e-01 3.8700041174888611e-01
-            -4.7868278622627258e-01 1.9085995852947235e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9520980834960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1736 6.4500000000000000e+01 0 -1 1737
-            1.0850000000000000e+02 -2 -3 1738 9.5775000000000000e+03</internalNodes>
-          <leafValues>
-            -5.1066368818283081e-02 6.1802017688751221e-01
-            -8.5373187065124512e-01 7.1274143457412720e-01</leafValues></_>
-        <_>
-          <treeThreshold>4.9744472503662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1739 2.5000000000000000e+00 0 -1 1740
-            1.8500000000000000e+01 -2 -3 1741 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1709325313568115e-01 4.6844825148582458e-01
-            2.2349253296852112e-01 -4.7425210475921631e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0045192718505859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1742 1.2500000000000000e+01 0 -1 1743
-            7.5000000000000000e+00 -2 -3 1744 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.9264114350080490e-02 -5.9978258609771729e-01
-            3.0072054266929626e-01 -7.8326350450515747e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0417678833007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1745 4.1500000000000000e+01 0 -1 1746
-            3.5000000000000000e+00 -2 -3 1747 614.</internalNodes>
-          <leafValues>
-            4.2858477681875229e-02 -6.5439593791961670e-01
-            3.7248274683952332e-01 -6.0121566057205200e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0184413909912109e+01</treeThreshold>
-          <internalNodes>
-            1 2 1748 1.8500000000000000e+01 0 -1 1749
-            1.9500000000000000e+01 -2 -3 1750 4.2335000000000000e+03</internalNodes>
-          <leafValues>
-            -3.9789116382598877e-01 3.3808970451354980e-01
-            -6.7741900682449341e-01 -6.1766817234456539e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.0395923614501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 1751 7.8500000000000000e+01 0 -1 1752 621. -2 -3 1753
-            1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8525377511978149e-01 4.6244528889656067e-01
-            -6.4186108112335205e-01 -1.5577160753309727e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.0368152618408203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1754 7.4500000000000000e+01 0 -1 1755
-            8.0500000000000000e+01 -2 -3 1756 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7840653061866760e-01 -5.0665259361267090e-01
-            2.8003776073455811e-01 -6.6763132810592651e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0609447479248047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1757 4.5000000000000000e+00 0 -1 1758
-            5.0000000000000000e-01 -2 -3 1759 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            1.4921510219573975e-01 -6.7458331584930420e-01
-            2.4129594862461090e-01 -7.1370732784271240e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0734519958496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 1760 8.1450000000000000e+02 0 -1 1761
-            3.1750000000000000e+02 -2 -3 1762 4.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -3.4531843662261963e-01 5.5791461467742920e-01
-            5.3364270925521851e-01 -3.7804716825485229e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0482379913330078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1763 1.5500000000000000e+01 0 -1 1764
-            6.5000000000000000e+00 -2 -3 1765 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.7612209320068359e-01 2.8200766444206238e-01
-            -6.6070902347564697e-01 5.4497551918029785e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0946456909179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 1766 1.3055000000000000e+03 0 -1 1767 13080. -2 -3 1768
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.6180552542209625e-02 6.9708949327468872e-01
-            1.5789812803268433e-01 -6.3250225782394409e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.0942211151123047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1769 5.5000000000000000e+00 0 -1 1770
-            1.6500000000000000e+01 -2 -3 1771 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9032448530197144e-01 4.8323771357536316e-01
-            -5.8806318044662476e-01 -4.2477925308048725e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.0879100799560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1772 3.2500000000000000e+01 0 -1 1773
-            1.5000000000000000e+00 -2 -3 1774 203.</internalNodes>
-          <leafValues>
-            7.2742664813995361e-01 -9.5186221599578857e-01
-            2.9152801632881165e-01 -2.9612061381340027e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1405494689941406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1775 5.9500000000000000e+01 0 -1 1776
-            5.0000000000000000e-01 -2 -3 1777 5.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.0475186407566071e-01 -4.3729728460311890e-01
-            5.2639096975326538e-01 -5.4126620292663574e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1545295715332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 1778 5.1500000000000000e+01 0 -1 1779 113. -2 -3 1780
-            14.</internalNodes>
-          <leafValues>
-            -8.7603360414505005e-01 1.3980150222778320e-01 1.
-            -9.8559749126434326e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1772174835205078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1781 5.0000000000000000e-01 0 -1 1782
-            5.0000000000000000e-01 -2 -3 1783 6.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5320812463760376e-01 5.4211145639419556e-01
-            -4.2864811420440674e-01 1.9388379156589508e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1395809173583984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1784 4.1500000000000000e+01 0 -1 1785
-            2.4500000000000000e+01 -2 -3 1786 1.0350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.6399099230766296e-01 2.9955938458442688e-01
-            -6.9159519672393799e-01 4.9095645546913147e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1332057952880859e+01</treeThreshold>
-          <internalNodes>
-            1 2 1787 1.1545000000000000e+03 0 -1 1788
-            1.0500000000000000e+01 -2 -3 1789 7.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -8.4412866830825806e-01 2.4716804921627045e-01
-            6.3626372814178467e-01 -6.3753142952919006e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1058708190917969e+01</treeThreshold>
-          <internalNodes>
-            1 2 1790 2.5000000000000000e+00 0 -1 1791 156. -2 -3 1792
-            667.</internalNodes>
-          <leafValues>
-            5.6390190124511719e-01 -7.4146884679794312e-01
-            -2.7334854006767273e-01 6.9182580709457397e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1457290649414062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1793 1.8500000000000000e+01 0 -1 1794 125. -2 -3 1795
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.9387379884719849e-01 8.3531779050827026e-01
-            6.5114057064056396e-01 -2.6395700871944427e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1741825103759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1796 5.5000000000000000e+00 0 -1 1797
-            8.0500000000000000e+01 -2 -3 1798 6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            5.2819365262985229e-01 -3.8713422417640686e-01
-            -6.3428682088851929e-01 3.1973972916603088e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.1987751007080078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1799 9.2950000000000000e+02 0 -1 1800
-            1.7500000000000000e+01 -2 -3 1801 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9681459069252014e-01 -6.8903458118438721e-01
-            -5.5376708507537842e-01 2.4592779576778412e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1639968872070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1802 5.0000000000000000e-01 0 -1 1803 727. -2 -3 1804
-            1195.</internalNodes>
-          <leafValues>
-            4.7003021836280823e-01 -8.6940318346023560e-01
-            -3.4778383374214172e-01 9.5309317111968994e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1864089965820312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1805 1.6500000000000000e+01 0 -1 1806
-            1.5500000000000000e+01 -2 -3 1807 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4845769405364990e-01 2.4072749912738800e-01
-            2.2412241995334625e-01 -5.8960992097854614e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.1842327117919922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1808 1.3500000000000000e+01 0 -1 1809
-            1.1693500000000000e+04 -2 -3 1810 108.</internalNodes>
-          <leafValues>
-            -2.1761292591691017e-02 -7.1312093734741211e-01 -1.
-            7.1802109479904175e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2474052429199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1811 5.6500000000000000e+01 0 -1 1812
-            2.7150000000000000e+02 -2 -3 1813 4.7050000000000000e+02</internalNodes>
-          <leafValues>
-            4.8798479139804840e-02 -6.1629486083984375e-01
-            6.3172489404678345e-01 -7.8125256299972534e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2882488250732422e+01</treeThreshold>
-          <internalNodes>
-            1 2 1814 2.7500000000000000e+01 0 -1 1815
-            2.7950000000000000e+02 -2 -3 1816 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4727012813091278e-01 -4.5306998491287231e-01
-            -9.6783083677291870e-01 4.0843614935874939e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2590320587158203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1817 1.2500000000000000e+01 0 -1 1818 2332. -2 -3 1819
-            2.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0328302979469299e-01 3.9351496100425720e-01
-            -4.5640042424201965e-01 7.0570003986358643e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2686405181884766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1820 2.8450000000000000e+02 0 -1 1821
-            5.1375000000000000e+03 -2 -3 1822 5524.</internalNodes>
-          <leafValues>
-            -6.9284421205520630e-01 5.7867264747619629e-01
-            -5.0904291868209839e-01 4.2930658906698227e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.2665336608886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1823 5.0000000000000000e-01 0 -1 1824
-            1.0500000000000000e+01 -2 -3 1825 3.1050000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9999736547470093e-01 5.0521236658096313e-01
-            -2.1066894754767418e-02 -6.7034846544265747e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2668560028076172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1826 1.5000000000000000e+00 0 -1 1827
-            4.5000000000000000e+00 -2 -3 1828 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5607993602752686e-01 2.3388290405273438e-01
-            -4.7936838865280151e-01 6.4502292871475220e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2418178558349609e+01</treeThreshold>
-          <internalNodes>
-            1 2 1829 2.5000000000000000e+00 0 -1 1830
-            1.2500000000000000e+01 -2 -3 1831 3.7450000000000000e+02</internalNodes>
-          <leafValues>
-            -2.5030246376991272e-01 4.1110610961914062e-01
-            -4.8104089498519897e-01 2.8128054738044739e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2447761535644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1832 1.4500000000000000e+01 0 -1 1833
-            1.6038500000000000e+04 -2 -3 1834 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.2847787141799927e-01 -3.8954043388366699e-01
-            2.9580958187580109e-02 -6.1391896009445190e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.2839599609375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1835 8.0500000000000000e+01 0 -1 1836
-            1.4845000000000000e+03 -2 -3 1837 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.2797079682350159e-01 7.2983002662658691e-01
-            -4.2472079396247864e-01 3.9183807373046875e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3161972045898438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1838 169. 0 -1 1839 2.3500000000000000e+01 -2 -3 1840
-            3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2237488031387329e-01 -2.9692310094833374e-01
-            5.2028205245733261e-02 -8.3673799037933350e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3484062194824219e+01</treeThreshold>
-          <internalNodes>
-            1 2 1841 9.5000000000000000e+00 0 -1 1842
-            4.1565000000000000e+03 -2 -3 1843 924.</internalNodes>
-          <leafValues>
-            1.3346555642783642e-02 -7.3501825332641602e-01
-            -5.0849604606628418e-01 3.2209011912345886e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3532875061035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1844 5.0550000000000000e+02 0 -1 1845
-            5.5000000000000000e+00 -2 -3 1846 8.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.6607748270034790e-01 -4.2199668288230896e-01
-            -7.4034929275512695e-01 3.8815331459045410e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3596260070800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 1847 1.9550000000000000e+02 0 -1 1848
-            7.6850000000000000e+02 -2 -3 1849 7.7350000000000000e+02</internalNodes>
-          <leafValues>
-            -3.7186509370803833e-01 4.2454031109809875e-01
-            4.2895314097404480e-01 -4.3257468938827515e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3252147674560547e+01</treeThreshold>
-          <internalNodes>
-            1 2 1850 4.2500000000000000e+01 0 -1 1851
-            4.5500000000000000e+01 -2 -3 1852 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5978814959526062e-01 -7.1406579017639160e-01
-            -4.4595164060592651e-01 5.2671235799789429e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3540912628173828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1853 2.0500000000000000e+01 0 -1 1854 276. -2 -3 1855
-            1.2850000000000000e+02</internalNodes>
-          <leafValues>
-            3.2382410764694214e-01 -6.7686492204666138e-01
-            2.8876608610153198e-01 -5.3703272342681885e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4058471679687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1856 1.1065000000000000e+03 0 -1 1857
-            4.5000000000000000e+00 -2 -3 1858 1570.</internalNodes>
-          <leafValues>
-            -4.9808049201965332e-01 5.8341735601425171e-01
-            -4.8129281401634216e-01 1.1452827602624893e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3559310913085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 1859 5.0000000000000000e-01 0 -1 1860
-            9.0500000000000000e+01 -2 -3 1861 1.4250000000000000e+02</internalNodes>
-          <leafValues>
-            4.2286753654479980e-01 -7.5187528133392334e-01
-            -5.5336773395538330e-01 1.0487236082553864e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3792110443115234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1862 5.5000000000000000e+00 0 -1 1863
-            5.2850000000000000e+02 -2 -3 1864 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8098456859588623e-01 2.5169646739959717e-01
-            3.1981575489044189e-01 -2.3502953350543976e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4220581054687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 1865 1.4500000000000000e+01 0 -1 1866
-            2.4025000000000000e+03 -2 -3 1867 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7904801070690155e-02 -8.8576656579971313e-01
-            4.2847126722335815e-01 -1.1248188465833664e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4116458892822266e+01</treeThreshold>
-          <internalNodes>
-            1 2 1868 3.0500000000000000e+01 0 -1 1869
-            1.0500000000000000e+01 -2 -3 1870 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.2367130219936371e-01 -9.1485178470611572e-01
-            5.5012780427932739e-01 -1.0412286967039108e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4431377410888672e+01</treeThreshold>
-          <internalNodes>
-            1 2 1871 1110. 0 -1 1872 2.4500000000000000e+01 -2 -3 1873
-            8.7500000000000000e+01</internalNodes>
-          <leafValues>
-            6.6319614648818970e-02 -9.0293776988983154e-01
-            -2.7686271071434021e-01 3.1491985917091370e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3841773986816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 1874 3.1500000000000000e+01 0 -1 1875
-            5.2950000000000000e+02 -2 -3 1876 2.8335000000000000e+03</internalNodes>
-          <leafValues>
-            4.3545942753553391e-03 7.3121100664138794e-01
-            3.2255075871944427e-02 -6.5287035703659058e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.3977920532226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 1877 4.4635000000000000e+03 0 -1 1878
-            3.5000000000000000e+00 -2 -3 1879 1.2150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.3098447322845459e-01 1.3614629209041595e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.4538074493408203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1880 2.0500000000000000e+01 0 -1 1881
-            7.8500000000000000e+01 -2 -3 1882 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4102438986301422e-02 6.1979264020919800e-01
-            8.4239649772644043e-01 -8.3167529106140137e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4199844360351562e+01</treeThreshold>
-          <internalNodes>
-            0 1 1883 5.5000000000000000e+00 0 1 1883 5.5000000000000000e+00 -1 -2 1884
-            2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. -1. 1.8631875514984131e-01 -3.9786672592163086e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4321243286132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1885 100108. 0 -1 1886 2.4450000000000000e+02 -2 -3 1887
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.4501583576202393e-01 1.2139873951673508e-01
-            -9.8769044876098633e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>5.4476604461669922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1888 3.0500000000000000e+01 0 -1 1889 832. -2 -3 1890
-            3.8650000000000000e+02</internalNodes>
-          <leafValues>
-            4.7927451133728027e-01 -3.6918625235557556e-01
-            4.3850061297416687e-01 -4.2658120393753052e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4880313873291016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1891 4.5000000000000000e+00 0 -1 1892
-            1.8500000000000000e+01 -2 -3 1893 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.9552253484725952e-01 1. 4.0370723605155945e-01
-            -1.3244532048702240e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4826488494873047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1894 3.3500000000000000e+01 0 -1 1895
-            5.0000000000000000e-01 -2 -3 1896 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2266705036163330e-01 -4.9189320206642151e-01
-            4.7518423199653625e-01 -1.8694840371608734e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4719253540039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1897 1.3250000000000000e+02 0 -1 1898 197. -2 -3 1899
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.5596961379051208e-02 -8.0278450250625610e-01
-            5.8479261398315430e-01 -1.0723467171192169e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4927463531494141e+01</treeThreshold>
-          <internalNodes>
-            1 2 1900 3.5000000000000000e+00 0 -1 1901
-            2.7500000000000000e+01 -2 -3 1902 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8025721311569214e-01 1. 5.0813627243041992e-01
-            -9.1872639954090118e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5091140747070312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1903 3.5500000000000000e+01 0 -1 1904 590. -2 -3 1905
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.2067620754241943e-01 -8.1219708919525146e-01
-            3.9956301450729370e-01 -1.7662063241004944e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5048011779785156e+01</treeThreshold>
-          <internalNodes>
-            1 2 1906 1.5500000000000000e+01 0 -1 1907
-            2.5000000000000000e+00 -2 -3 1908 1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            4.5108359307050705e-02 -5.7894098758697510e-01
-            5.1151078939437866e-01 -6.0667592287063599e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4623245239257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1909 2.6500000000000000e+01 0 -1 1910
-            1.1500000000000000e+01 -2 -3 1911 2.0250000000000000e+02</internalNodes>
-          <leafValues>
-            4.0922752022743225e-01 -6.0327196121215820e-01
-            3.5508340597152710e-01 -4.1403025388717651e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.4938964843750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 1912 4.4450000000000000e+02 0 -1 1913
-            4.8075000000000000e+03 -2 -3 1914 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.7132555246353149e-01 -9.4460356235504150e-01
-            3.1572005152702332e-01 -2.5736778974533081e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5008499145507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 1915 2.4350000000000000e+02 0 -1 1916
-            1.6500000000000000e+01 -2 -3 1917 98.</internalNodes>
-          <leafValues>
-            6.9533005356788635e-02 -5.5879753828048706e-01
-            5.2043431997299194e-01 -5.5762660503387451e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5581649780273438e+01</treeThreshold>
-          <internalNodes>
-            1 2 1918 1.2755000000000000e+03 0 -1 1919
-            1.5000000000000000e+00 -2 -3 1920 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7316585183143616e-01 -3.9282438158988953e-01
-            -8.5869687795639038e-01 5.7315075397491455e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5420215606689453e+01</treeThreshold>
-          <internalNodes>
-            1 2 1921 3.7635000000000000e+03 0 -1 1922
-            1.0904500000000000e+04 -2 -3 1923 6.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7749630212783813e-02 7.8290265798568726e-01
-            3.7081098556518555e-01 -3.9786884188652039e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5134284973144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1924 3.5000000000000000e+00 0 -1 1925
-            1.5000000000000000e+00 -2 -3 1926 1.3535000000000000e+03</internalNodes>
-          <leafValues>
-            -8.4669679403305054e-01 5.6518930196762085e-01
-            -2.8593066334724426e-01 7.8882968425750732e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5399112701416016e+01</treeThreshold>
-          <internalNodes>
-            1 2 1927 1.4500000000000000e+01 0 -1 1928
-            9.5000000000000000e+00 -2 -3 1929 2.1950000000000000e+02</internalNodes>
-          <leafValues>
-            3.6673456430435181e-01 -8.0567514896392822e-01
-            2.6483070850372314e-01 -5.4888963699340820e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5665115356445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1930 1.0500000000000000e+01 0 -1 1931
-            4.3500000000000000e+01 -2 -3 1932 2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.0224722623825073e-01 7.3296892642974854e-01
-            3.1390979886054993e-01 -2.7697941660881042e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5662361145019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1933 5.0000000000000000e-01 0 -1 1934
-            1.0500000000000000e+01 -2 -3 1935 609.</internalNodes>
-          <leafValues>
-            -4.6577224135398865e-01 3.6372005939483643e-01
-            -6.7203342914581299e-02 -8.5283303260803223e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.5597713470458984e+01</treeThreshold>
-          <internalNodes>
-            1 2 1936 4.8150000000000000e+02 0 -1 1937 897. -2 -3 1938
-            6.0015000000000000e+03</internalNodes>
-          <leafValues>
-            -7.0950525999069214e-01 3.6562061309814453e-01
-            7.1085697412490845e-01 -6.4645722508430481e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.5976200103759766e+01</treeThreshold>
-          <internalNodes>
-            1 2 1939 1.7500000000000000e+01 0 -1 1940
-            2.6500000000000000e+01 -2 -3 1941 2.7195000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9570225477218628e-01 3.7848454713821411e-01
-            3.8467934727668762e-01 -3.8020190596580505e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6158012390136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 1942 2.6002500000000000e+04 0 -1 1943
-            5.5000000000000000e+00 -2 -3 1944 933.</internalNodes>
-          <leafValues>
-            5.2110773324966431e-01 -7.8237217664718628e-01
-            -8.0685955286026001e-01 1.8181376159191132e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6510974884033203e+01</treeThreshold>
-          <internalNodes>
-            1 2 1945 6.5000000000000000e+00 0 -1 1946
-            7.7950000000000000e+02 -2 -3 1947 1.1350000000000000e+02</internalNodes>
-          <leafValues>
-            8.0221951007843018e-01 -5.5787330865859985e-01
-            -2.5150266289710999e-01 3.5296073555946350e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6669940948486328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1948 1.2500000000000000e+01 0 -1 1949
-            2.1500000000000000e+01 -2 -3 1950 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.1347912549972534e-01 3.3844006061553955e-01
-            -5.6976383924484253e-01 1.5896809101104736e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6639522552490234e+01</treeThreshold>
-          <internalNodes>
-            1 2 1951 5.0000000000000000e-01 0 -1 1952
-            1.0350000000000000e+02 -2 -3 1953 979.</internalNodes>
-          <leafValues>
-            5.6548482179641724e-01 -7.8466528654098511e-01
-            -4.1022753715515137e-01 1.7647762596607208e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6746051788330078e+01</treeThreshold>
-          <internalNodes>
-            1 2 1954 4.7655500000000000e+04 0 -1 1955 1217. -2 -3 1956
-            2.6650000000000000e+02</internalNodes>
-          <leafValues>
-            -6.9296687841415405e-01 2.6075837016105652e-01
-            -7.9774957895278931e-01 1.7970228567719460e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6479259490966797e+01</treeThreshold>
-          <internalNodes>
-            1 2 1957 1.2650000000000000e+02 0 -1 1958
-            1.9500000000000000e+01 -2 -3 1959 491.</internalNodes>
-          <leafValues>
-            -2.6678943634033203e-01 3.8788908720016479e-01
-            9.1776609420776367e-01 -4.6553900837898254e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6557636260986328e+01</treeThreshold>
-          <internalNodes>
-            1 2 1960 4.7500000000000000e+01 0 -1 1961
-            9.6450000000000000e+02 -2 -3 1962 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            3.0366006493568420e-01 -8.8815379142761230e-01
-            4.8105791211128235e-01 -8.4002502262592316e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.6977615356445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1963 1.9350000000000000e+02 0 -1 1964
-            1.0500000000000000e+01 -2 -3 1965 316.</internalNodes>
-          <leafValues>
-            1.2478869408369064e-01 -5.4758942127227783e-01
-            4.1997796297073364e-01 -2.8715902566909790e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.6940200805664062e+01</treeThreshold>
-          <internalNodes>
-            1 2 1966 1.3500000000000000e+01 0 -1 1967
-            9.5000000000000000e+00 -2 -3 1968 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.6444692611694336e-01 -5.1318335533142090e-01
-            4.1364780068397522e-01 -2.3452880978584290e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7376541137695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 1969 6.5000000000000000e+00 0 -1 1970
-            5.2500000000000000e+01 -2 -3 1971 2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1519573926925659e-01 4.3634009361267090e-01
-            -5.3644794225692749e-01 3.0770981311798096e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7745677947998047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1972 9.5000000000000000e+00 0 -1 1973
-            1.7125000000000000e+03 -2 -3 1974 2095.</internalNodes>
-          <leafValues>
-            -5.8112341910600662e-02 5.0887292623519897e-01
-            2.3396022617816925e-01 -5.9023892879486084e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7668346405029297e+01</treeThreshold>
-          <internalNodes>
-            1 2 1975 1.3835000000000000e+03 0 -1 1976
-            2.3365000000000000e+03 -2 -3 1977 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.2391898930072784e-01 4.7256642580032349e-01
-            4.1642077267169952e-03 -6.2670201063156128e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7691123962402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 1978 2.7250000000000000e+02 0 -1 1979
-            8.0950000000000000e+02 -2 -3 1980 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.9949793219566345e-01 7.5373744964599609e-01
-            2.2777365520596504e-02 -5.4332214593887329e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7523948669433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 1981 2.5500000000000000e+01 0 -1 1982
-            3.5000000000000000e+00 -2 -3 1983 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.7234396338462830e-01 -7.7871346473693848e-01
-            4.1143327951431274e-01 -1.6717562079429626e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7792133331298828e+01</treeThreshold>
-          <internalNodes>
-            1 2 1984 3.0500000000000000e+01 0 -1 1985
-            6.5000000000000000e+00 -2 -3 1986 4.7850000000000000e+02</internalNodes>
-          <leafValues>
-            4.2716450989246368e-02 -6.7291486263275146e-01
-            3.2022616267204285e-01 -6.1982798576354980e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8013004302978516e+01</treeThreshold>
-          <internalNodes>
-            1 2 1987 3.4500000000000000e+01 0 -1 1988
-            9.5000000000000000e+00 -2 -3 1989 3.9350000000000000e+02</internalNodes>
-          <leafValues>
-            -5.1402336359024048e-01 2.2087192535400391e-01
-            -7.2181683778762817e-01 1.9793330132961273e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8191169738769531e+01</treeThreshold>
-          <internalNodes>
-            1 2 1990 9.7500000000000000e+01 0 -1 1991
-            6.2250000000000000e+02 -2 -3 1992 9.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7816618084907532e-01 -4.8832407593727112e-01
-            -9.5159941911697388e-01 6.5016353130340576e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8067699432373047e+01</treeThreshold>
-          <internalNodes>
-            1 2 1993 2.5000000000000000e+00 0 -1 1994
-            2.2500000000000000e+01 -2 -3 1995 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9863173961639404e-01 -1.2370918691158295e-01
-            -5.3876280784606934e-01 2.5208535790443420e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8372417449951172e+01</treeThreshold>
-          <internalNodes>
-            1 2 1996 1.8075000000000000e+03 0 -1 1997
-            4.5000000000000000e+00 -2 -3 1998 7.4500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9194607734680176e-01 -3.2276815176010132e-01
-            5.3963506221771240e-01 -6.4209002256393433e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8342327117919922e+01</treeThreshold>
-          <internalNodes>
-            1 2 1999 7.5000000000000000e+00 0 -1 2000
-            1.3500000000000000e+01 -2 -3 2001 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.3360573053359985e-01 1. 3.0816203355789185e-01
-            -1.9820201396942139e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8525230407714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2002 5.4500000000000000e+01 0 -1 2003
-            3.1500000000000000e+01 -2 -3 2004 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.9942277669906616e-01 1. 2.0665432512760162e-01
-            -4.8230728507041931e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8137825012207031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2005 5.0000000000000000e-01 0 -1 2006
-            6.5000000000000000e+00 -2 -3 2007 1.6255000000000000e+03</internalNodes>
-          <leafValues>
-            -9.1363656520843506e-01 3.4000685811042786e-01
-            3.6237233877182007e-01 -3.8740426301956177e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7477180480957031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2008 1.6500000000000000e+01 0 -1 2009
-            3.3050000000000000e+02 -2 -3 2010 1.8250000000000000e+02</internalNodes>
-          <leafValues>
-            4.0280374884605408e-01 -6.6064602136611938e-01
-            2.3912283778190613e-01 -6.5312945842742920e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7596790313720703e+01</treeThreshold>
-          <internalNodes>
-            1 2 2011 3.5000000000000000e+00 0 -1 2012
-            2.2850000000000000e+02 -2 -3 2013 6.7050000000000000e+02</internalNodes>
-          <leafValues>
-            -5.6311067193746567e-02 7.3480677604675293e-01
-            -7.8913259506225586e-01 -5.2745390683412552e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.7969238281250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2014 1.2195000000000000e+03 0 -1 2015
-            1.5000000000000000e+00 -2 -3 2016 44231.</internalNodes>
-          <leafValues>
-            3.7240502238273621e-01 -3.7414985895156860e-01
-            5.3368985652923584e-01 -3.4466567635536194e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.7981628417968750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2017 1.6650000000000000e+02 0 -1 2018
-            2.0500000000000000e+01 -2 -3 2019 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3047098517417908e-01 4.0283700823783875e-01
-            -8.8833373785018921e-01 9.4913655519485474e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8304691314697266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2020 1.7500000000000000e+01 0 -1 2021
-            2.2500000000000000e+01 -2 -3 2022 1.3950000000000000e+02</internalNodes>
-          <leafValues>
-            -9.7246366739273071e-01 4.5725116133689880e-01
-            -3.3056676387786865e-01 3.2306280732154846e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8687774658203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2023 3.6050000000000000e+02 0 -1 2024
-            2.1500000000000000e+01 -2 -3 2025 5.7150000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9407491385936737e-01 4.0379062294960022e-01
-            -7.1832591295242310e-01 1.6718479990959167e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8403263092041016e+01</treeThreshold>
-          <internalNodes>
-            1 2 2026 3.5000000000000000e+00 0 -1 2027
-            1.5000000000000000e+00 -2 -3 2028 1.1125000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1120482683181763e-01 5.4733234643936157e-01
-            -3.0521857738494873e-01 5.3309994935989380e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8206588745117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2029 9.8550000000000000e+02 0 -1 2030
-            8.5000000000000000e+00 -2 -3 2031 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1662030220031738e-01 4.3150734901428223e-01
-            1.1408390849828720e-01 -5.7918250560760498e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8434097290039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2032 1.2500000000000000e+01 0 -1 2033
-            9.7500000000000000e+01 -2 -3 2034 8574.</internalNodes>
-          <leafValues>
-            4.1095575690269470e-01 -6.6425901651382446e-01
-            2.2750854492187500e-01 -6.5870326757431030e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8159267425537109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2035 790. 0 -1 2036 26812. -2 -3 2037
-            5.2150000000000000e+02</internalNodes>
-          <leafValues>
-            -8.0263590812683105e-01 8.7009161710739136e-01
-            -2.7483054995536804e-01 3.0290663242340088e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8559719085693359e+01</treeThreshold>
-          <internalNodes>
-            1 2 2038 1.5550000000000000e+02 0 -1 2039
-            3.6500000000000000e+01 -2 -3 2040 1752.</internalNodes>
-          <leafValues>
-            -1.1953184753656387e-01 4.0045145153999329e-01
-            8.7820923328399658e-01 -9.3850684165954590e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8625492095947266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2041 5.0000000000000000e-01 0 -1 2042
-            2.5000000000000000e+00 -2 -3 2043 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.3991537094116211e-01 7.3110866546630859e-01
-            2.8890112042427063e-01 -2.9580232501029968e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8505027770996094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2044 6.7500000000000000e+01 0 -1 2045
-            5.6500000000000000e+01 -2 -3 2046 9.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7034713625907898e-01 6.4461517333984375e-01
-            3.4142866730690002e-01 -8.6112099885940552e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8600910186767578e+01</treeThreshold>
-          <internalNodes>
-            1 2 2047 8.0500000000000000e+01 0 -1 2048
-            1.8650000000000000e+02 -2 -3 2049 590.</internalNodes>
-          <leafValues>
-            -7.2916746139526367e-01 3.1004229187965393e-01
-            -6.6359126567840576e-01 9.5881775021553040e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.8711597442626953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2050 5.0000000000000000e-01 0 -1 2051
-            7.5450000000000000e+02 -2 -3 2052 3.2650000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2816257476806641e-01 4.2444109916687012e-01
-            -4.2585963010787964e-01 3.1073370575904846e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8032016754150391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2053 60937. 0 -1 2054 416. -2 -3 2055
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.7063696682453156e-01 -6.7958027124404907e-01
-            8.7877064943313599e-01 -9.5674747228622437e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8740566253662109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2056 1.5000000000000000e+00 0 -1 2057
-            3.5000000000000000e+00 -2 -3 2058 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4752992391586304e-01 7.0855057239532471e-01
-            -6.8028306961059570e-01 2.6557485107332468e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.9213050842285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2059 7.5000000000000000e+00 0 -1 2060
-            4.5000000000000000e+00 -2 -3 2061 2.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -1.6750365495681763e-01 4.7248429059982300e-01
-            1.6587665677070618e-01 -5.7748597860336304e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9422805786132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2062 9.5000000000000000e+00 0 -1 2063
-            2.4500000000000000e+01 -2 -3 2064 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.3164252936840057e-01 -8.6614209413528442e-01
-            -8.4939008951187134e-01 2.0975443720817566e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.8884654998779297e+01</treeThreshold>
-          <internalNodes>
-            1 2 2065 6.2500000000000000e+01 0 -1 2066
-            1.0500000000000000e+01 -2 -3 2067 252.</internalNodes>
-          <leafValues>
-            1.0844799689948559e-02 -5.3815227746963501e-01
-            7.5545585155487061e-01 -4.2718842625617981e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9134284973144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2068 2.3365000000000000e+03 0 -1 2069
-            1.2850000000000000e+02 -2 -3 2070 3.4845000000000000e+03</internalNodes>
-          <leafValues>
-            8.5452580451965332e-01 -5.0535249710083008e-01
-            7.7388888597488403e-01 -6.3630655407905579e-02</leafValues></_>
-        <_>
-          <treeThreshold>5.9335205078125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2071 7.5000000000000000e+00 0 -1 2072
-            6.5000000000000000e+00 -2 -3 2073 2.1450000000000000e+02</internalNodes>
-          <leafValues>
-            -8.2057535648345947e-01 2.0091684162616730e-01
-            -6.9147127866744995e-01 6.4241760969161987e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9819751739501953e+01</treeThreshold>
-          <internalNodes>
-            1 2 2074 1.4500000000000000e+01 0 -1 2075
-            1.3500000000000000e+01 -2 -3 2076 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3421977758407593e-01 4.8454797267913818e-01
-            -3.7337201833724976e-01 3.2126367092132568e-01</leafValues></_>
-        <_>
-          <treeThreshold>5.9756664276123047e+01</treeThreshold>
-          <internalNodes>
-            1 2 2077 3.7550000000000000e+02 0 -1 2078
-            8.1500000000000000e+01 -2 -3 2079 14.</internalNodes>
-          <leafValues>
-            -6.3086077570915222e-02 5.7233673334121704e-01 1.
-            -9.5777195692062378e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0291542053222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2080 3.5000000000000000e+00 0 -1 2081
-            2.5000000000000000e+00 -2 -3 2082 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.0069408416748047e-01 6.3710403442382812e-01
-            -4.9769634008407593e-01 1.1464314162731171e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0335617065429688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2083 6.0500000000000000e+01 0 -1 2084 235. -2 -3 2085
-            6.5500000000000000e+01</internalNodes>
-          <leafValues>
-            6.0332548618316650e-01 -4.5363491773605347e-01
-            -7.2721785306930542e-01 2.7224572841078043e-03</leafValues></_>
-        <_>
-          <treeThreshold>5.9978572845458984e+01</treeThreshold>
-          <internalNodes>
-            1 2 2086 2145. 0 -1 2087 5.0000000000000000e-01 -2 -3 2088
-            1.1500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9418591260910034e-01 -7.1563631296157837e-01
-            -5.4690980911254883e-01 2.3341998457908630e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0145259857177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2089 4.8350000000000000e+02 0 -1 2090
-            5.3500000000000000e+01 -2 -3 2091 5.0550000000000000e+02</internalNodes>
-          <leafValues>
-            5.3724527359008789e-01 -1.2441903352737427e-01
-            -6.5049791336059570e-01 2.5399866700172424e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0507656097412109e+01</treeThreshold>
-          <internalNodes>
-            1 2 2092 2.7500000000000000e+01 0 -1 2093
-            5.5000000000000000e+00 -2 -3 2094 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4425510168075562e-01 -7.4231290817260742e-01
-            -2.6776736974716187e-01 3.6239382624626160e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0473968505859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2095 5.0000000000000000e-01 0 -1 2096
-            2.5500000000000000e+01 -2 -3 2097 1587.</internalNodes>
-          <leafValues>
-            -7.2751653194427490e-01 4.5861607789993286e-01
-            5.5637544393539429e-01 -3.6810955405235291e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0842075347900391e+01</treeThreshold>
-          <internalNodes>
-            1 2 2098 5.1150000000000000e+02 0 -1 2099 1169. -2 -3 2100
-            2.0150000000000000e+02</internalNodes>
-          <leafValues>
-            -3.0562120676040649e-01 8.1614106893539429e-01
-            7.2896146774291992e-01 -1.8503957986831665e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0462539672851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2101 8.3500000000000000e+01 0 -1 2102
-            3.0500000000000000e+01 -2 -3 2103 2.9850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.2488976418972015e-02 4.4352260231971741e-01
-            5.2298051118850708e-01 -8.3577710390090942e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1029483795166016e+01</treeThreshold>
-          <internalNodes>
-            1 2 2104 5.0000000000000000e-01 0 -1 2105
-            1.6500000000000000e+01 -2 -3 2106 2.8650000000000000e+02</internalNodes>
-          <leafValues>
-            -6.2287323176860809e-02 5.6694161891937256e-01
-            -5.0430041551589966e-01 2.6749575138092041e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.0533782958984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2107 1.5000000000000000e+00 0 -1 2108 86. -2 -3 2109
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.6476197242736816e-01 -3.5366341471672058e-01
-            1.1941082775592804e-01 -4.9569913744926453e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1014225006103516e+01</treeThreshold>
-          <internalNodes>
-            1 2 2110 8.5500000000000000e+01 0 -1 2111
-            7.1500000000000000e+01 -2 -3 2112 3.0050000000000000e+02</internalNodes>
-          <leafValues>
-            -3.2236501574516296e-01 5.3735041618347168e-01
-            4.8043999075889587e-01 -8.1549012660980225e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1214355468750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2113 5.0000000000000000e-01 0 -1 2114 5423. -2 -3 2115
-            3.2500000000000000e+01</internalNodes>
-          <leafValues>
-            6.3166511058807373e-01 -1.0317980498075485e-01
-            -8.1713062524795532e-01 -4.8018395900726318e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.1207153320312500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2116 6.9750000000000000e+02 0 -1 2117
-            2.3500000000000000e+01 -2 -3 2118 1299.</internalNodes>
-          <leafValues>
-            -5.5850952863693237e-01 4.5436400175094604e-01
-            -4.2946615815162659e-01 4.6700772643089294e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1372627258300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2119 9.7500000000000000e+01 0 -1 2120
-            1.2500000000000000e+01 -2 -3 2121 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.3579089641571045e-01 1.6547182202339172e-01
-            -8.7968140840530396e-01 5.9617185592651367e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1535186767578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2122 4.0550000000000000e+02 0 -1 2123
-            8.5000000000000000e+00 -2 -3 2124 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.4796415567398071e-01 2.2591431438922882e-01
-            -6.4731520414352417e-01 6.6429591178894043e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1438594818115234e+01</treeThreshold>
-          <internalNodes>
-            1 2 2125 7.5000000000000000e+00 0 -1 2126
-            1.6500000000000000e+01 -2 -3 2127 2.0464500000000000e+04</internalNodes>
-          <leafValues>
-            -7.6974302530288696e-01 5.8108645677566528e-01
-            1.4914943277835846e-01 -4.0168645977973938e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1837162017822266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2128 1.9150000000000000e+02 0 -1 2129
-            2.5000000000000000e+00 -2 -3 2130 2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0682370066642761e-01 -6.2734222412109375e-01
-            -3.0841422080993652e-01 3.9856877923011780e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1491020202636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2131 9.5000000000000000e+00 0 -1 2132
-            1.0286500000000000e+04 -2 -3 2133 1.5750000000000000e+02</internalNodes>
-          <leafValues>
-            4.2527648806571960e-01 -3.4614086151123047e-01
-            -6.1684650182723999e-01 1.9758818671107292e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.1886714935302734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2134 1.7500000000000000e+01 0 -1 2135
-            9.2500000000000000e+01 -2 -3 2136 18.</internalNodes>
-          <leafValues>
-            -1.2079064548015594e-01 3.9569309353828430e-01
-            3.3188980817794800e-01 -8.7485474348068237e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1790431976318359e+01</treeThreshold>
-          <internalNodes>
-            1 2 2137 2.1500000000000000e+01 0 -1 2138
-            2.2500000000000000e+01 -2 -3 2139 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.2500929683446884e-02 6.8664622306823730e-01
-            1.5717932581901550e-01 -6.7684161663055420e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2245330810546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2140 1.2135000000000000e+03 0 -1 2141
-            4.5000000000000000e+00 -2 -3 2142 5.2865000000000000e+03</internalNodes>
-          <leafValues>
-            3.3859279751777649e-01 -4.2644050717353821e-01
-            5.0935482978820801e-01 -4.1733506321907043e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2387325286865234e+01</treeThreshold>
-          <internalNodes>
-            1 2 2143 4.5000000000000000e+00 0 -1 2144
-            1.0500000000000000e+01 -2 -3 2145 209.</internalNodes>
-          <leafValues>
-            1.3510234653949738e-01 -9.6185976266860962e-01
-            1.4199161529541016e-01 -8.5389542579650879e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2084945678710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2146 11208. 0 -1 2147 5.0000000000000000e-01 -2 -3 2148
-            20248.</internalNodes>
-          <leafValues>
-            1.5907059609889984e-01 -3.8836613297462463e-01
-            8.0494099855422974e-01 -7.7658468484878540e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1984123229980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2149 2.3500000000000000e+01 0 -1 2150
-            2.3650000000000000e+02 -2 -3 2151 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            1. -1. 4.0856447815895081e-01 -1.0082300007343292e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2277572631835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2152 1.2115000000000000e+03 0 -1 2153
-            1.5000000000000000e+00 -2 -3 2154 4.2995000000000000e+03</internalNodes>
-          <leafValues>
-            4.2784088850021362e-01 -8.9822685718536377e-01
-            2.9345232248306274e-01 -2.5083908438682556e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2472473144531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2155 9.4500000000000000e+01 0 -1 2156
-            1.0500000000000000e+01 -2 -3 2157 68.</internalNodes>
-          <leafValues>
-            6.5589077770709991e-02 -7.7099108695983887e-01
-            -7.4427002668380737e-01 1.9490025937557220e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2016971588134766e+01</treeThreshold>
-          <internalNodes>
-            1 2 2158 2.5000000000000000e+00 0 -1 2159
-            1.2500000000000000e+01 -2 -3 2160 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2139071226119995e-01 -5.5164831876754761e-01
-            -4.5550110936164856e-01 3.6315539479255676e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2252468109130859e+01</treeThreshold>
-          <internalNodes>
-            1 2 2161 1.5685000000000000e+03 0 -1 2162
-            4.5000000000000000e+00 -2 -3 2163 7.7500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6763184666633606e-01 -7.2583413124084473e-01
-            -4.7358104586601257e-01 2.3549596965312958e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1926944732666016e+01</treeThreshold>
-          <internalNodes>
-            1 2 2164 5.0000000000000000e-01 0 -1 2165
-            2.9500000000000000e+01 -2 -3 2166 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.4635341167449951e-01 4.7176876664161682e-01
-            1.2360874563455582e-01 -4.4846296310424805e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2441539764404297e+01</treeThreshold>
-          <internalNodes>
-            1 2 2167 1.3650000000000000e+02 0 -1 2168
-            7.5000000000000000e+00 -2 -3 2169 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            3.0158129334449768e-01 -3.6455678939819336e-01
-            -9.0578240156173706e-01 5.1459383964538574e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1964569091796875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2170 8.5000000000000000e+00 0 -1 2171
-            1.3226500000000000e+04 -2 -3 2172 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5410606861114502e-01 2.6482892036437988e-01
-            -4.7696748375892639e-01 6.1308634281158447e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.1803714752197266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2173 2.6500000000000000e+01 0 -1 2174
-            4.5000000000000000e+00 -2 -3 2175 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.8156448602676392e-01 -8.6257112026214600e-01
-            4.0267577767372131e-01 -1.6085536777973175e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2505237579345703e+01</treeThreshold>
-          <internalNodes>
-            1 2 2176 4.2500000000000000e+01 0 -1 2177
-            7.9662500000000000e+04 -2 -3 2178 2.2050000000000000e+02</internalNodes>
-          <leafValues>
-            4.3292667716741562e-02 -8.7512964010238647e-01
-            -2.3395214229822159e-02 7.0152431726455688e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2662498474121094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2179 2.2535000000000000e+03 0 -1 2180 5489. -2 -3 2181
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.3394173979759216e-01 6.8779164552688599e-01
-            4.8814722895622253e-01 -3.9524573087692261e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2619869232177734e+01</treeThreshold>
-          <internalNodes>
-            1 2 2182 3.0135000000000000e+03 0 -1 2183 4966. -2 -3 2184
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.0220034718513489e-01 8.1261235475540161e-01
-            1.7436875402927399e-01 -3.7351670861244202e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2884567260742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2185 2.5000000000000000e+00 0 -1 2186 286. -2 -3 2187
-            2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            8.4548860788345337e-01 -9.6311759948730469e-01
-            -3.5037949681282043e-01 2.6469662785530090e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2971755981445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2188 4.5000000000000000e+00 0 -1 2189
-            5.6350000000000000e+02 -2 -3 2190 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            3.5842654109001160e-01 -7.6083594560623169e-01
-            -6.3569843769073486e-01 1.1528482288122177e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.2904327392578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2191 19751. 0 -1 2192 5709. -2 -3 2193
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.8615106344223022e-01 -6.7431032657623291e-02
-            8.1077980995178223e-01 -7.9040503501892090e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3428482055664062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2194 5.2150000000000000e+02 0 -1 2195 112. -2 -3 2196
-            4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.9560300707817078e-01 6.3393580913543701e-01
-            -7.4229598045349121e-01 5.2415388822555542e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3408718109130859e+01</treeThreshold>
-          <internalNodes>
-            1 2 2197 2.2850000000000000e+02 0 -1 2198
-            9.5000000000000000e+00 -2 -3 2199 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5528714656829834e-01 3.2386130094528198e-01
-            -5.1321542263031006e-01 3.7662333250045776e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3479297637939453e+01</treeThreshold>
-          <internalNodes>
-            1 2 2200 1.0500000000000000e+01 0 -1 2201
-            1.2875000000000000e+03 -2 -3 2202 1.1550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.5136082470417023e-02 5.4068171977996826e-01
-            -5.4428064823150635e-01 3.5270053148269653e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3459232330322266e+01</treeThreshold>
-          <internalNodes>
-            1 2 2203 5.6350000000000000e+02 0 -1 2204
-            3.6500000000000000e+01 -2 -3 2205 2.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.6665899157524109e-01 2.9732996225357056e-01
-            8.9094859361648560e-01 -7.8570848703384399e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.3715244293212891e+01</treeThreshold>
-          <internalNodes>
-            1 2 2206 1.3750000000000000e+02 0 -1 2207
-            5.5950000000000000e+02 -2 -3 2208 1.7350000000000000e+02</internalNodes>
-          <leafValues>
-            8.2382661104202271e-01 -9.3905463814735413e-02
-            -7.7598297595977783e-01 -6.1380777508020401e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.4063674926757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2209 1.5000000000000000e+00 0 -1 2210
-            1.1500000000000000e+01 -2 -3 2211 3.1850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.9411342144012451e-01 3.4842905402183533e-01
-            -4.4360893964767456e-01 4.8869660496711731e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4111953735351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2212 2.5000000000000000e+00 0 -1 2213
-            4.1500000000000000e+01 -2 -3 2214 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -2.3706158995628357e-01 4.4370284676551819e-01
-            5.4362642765045166e-01 -5.1952922344207764e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4159660339355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2215 1.5000000000000000e+00 0 -1 2216
-            5.7500000000000000e+01 -2 -3 2217 1.0775000000000000e+03</internalNodes>
-          <leafValues>
-            -2.5581914931535721e-02 6.6174793243408203e-01
-            4.0115654468536377e-01 -3.5893636941909790e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4437599182128906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2218 921. 0 -1 2219 4.5000000000000000e+00 -2 -3 2220
-            2.9045000000000000e+03</internalNodes>
-          <leafValues>
-            3.1526345014572144e-01 -7.0185899734497070e-01
-            2.7793204784393311e-01 -4.8113667964935303e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4332015991210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2221 1.8985000000000000e+03 0 -1 2222
-            7.8250000000000000e+02 -2 -3 2223 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.8789478540420532e-01 6.2446802854537964e-01
-            -7.3467957973480225e-01 7.2612441144883633e-03</leafValues></_>
-        <_>
-          <treeThreshold>6.4401939392089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2224 2.5000000000000000e+00 0 -1 2225
-            3.7500000000000000e+01 -2 -3 2226 5.4850000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1204963922500610e-01 6.2827998399734497e-01
-            -5.4985451698303223e-01 6.9924682378768921e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.4601165771484375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2227 3.5000000000000000e+00 0 -1 2228
-            4.4500000000000000e+01 -2 -3 2229 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.2580995559692383e-01 5.1435238122940063e-01
-            5.3874686360359192e-02 -5.6130063533782959e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4761596679687500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2230 7.5000000000000000e+00 0 -1 2231
-            3.5000000000000000e+00 -2 -3 2232 5.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5083559751510620e-01 3.6957365274429321e-01
-            -4.0680039674043655e-02 -7.7190446853637695e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4306961059570312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2233 160. 0 -1 2234 127. -2 -3 2235
-            9.1500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1852338314056396e-01 -6.8148994445800781e-01
-            -4.8492997884750366e-01 3.1643366813659668e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4767280578613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2236 2.5000000000000000e+00 0 -1 2237
-            7.5250000000000000e+02 -2 -3 2238 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.6031954884529114e-01 -6.2284696102142334e-01
-            4.7282892465591431e-01 -4.0902397036552429e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4466903686523438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2239 1.4250000000000000e+02 0 -1 2240
-            4.5000000000000000e+00 -2 -3 2241 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.0185246169567108e-01 -5.8319956064224243e-01
-            -6.2095612287521362e-01 4.2880809307098389e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.4761924743652344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2242 1.1605000000000000e+03 0 -1 2243 2073. -2 -3 2244
-            4.6555000000000000e+03</internalNodes>
-          <leafValues>
-            -7.2359293699264526e-01 7.9880434274673462e-01
-            6.1722189188003540e-01 -1.1455553770065308e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5016494750976562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2245 1.0350000000000000e+02 0 -1 2246
-            4.4850000000000000e+02 -2 -3 2247 6.2550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.7635171115398407e-02 4.6874949336051941e-01
-            -8.0271768569946289e-01 3.7331908941268921e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5212265014648438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2248 6.2150000000000000e+02 0 -1 2249 326. -2 -3 2250
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.9577379524707794e-01 -7.0703411102294922e-01
-            5.1214373111724854e-01 -7.2338587045669556e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5121826171875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2251 9.7500000000000000e+01 0 -1 2252
-            2.3550000000000000e+02 -2 -3 2253 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            4.6985685825347900e-01 -8.9037990570068359e-01
-            4.9876618385314941e-01 -9.0437032282352448e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5343742370605469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2254 1.9500000000000000e+01 0 -1 2255 1133. -2 -3 2256
-            1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            4.8251938819885254e-01 -6.2672054767608643e-01
-            2.2191496193408966e-01 -7.7584463357925415e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5446708679199219e+01</treeThreshold>
-          <internalNodes>
-            1 2 2257 1.2555000000000000e+03 0 -1 2258 1315. -2 -3 2259
-            1.4525000000000000e+03</internalNodes>
-          <leafValues>
-            5.0016152858734131e-01 -3.4823906421661377e-01
-            8.1143665313720703e-01 -3.6510743200778961e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.5472305297851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2260 5.8500000000000000e+01 0 -1 2261
-            9.2250000000000000e+02 -2 -3 2262 9.2500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5597516447305679e-02 -7.3596054315567017e-01
-            7.7482932806015015e-01 -2.4384480714797974e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5680641174316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2263 2.8500000000000000e+01 0 -1 2264
-            1.9500000000000000e+01 -2 -3 2265 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -5.1095438003540039e-01 2.7406066656112671e-01
-            4.7238901257514954e-02 -7.9554700851440430e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5828727722167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2266 6.5000000000000000e+00 0 -1 2267 46. -2 -3 2268
-            2.3350000000000000e+02</internalNodes>
-          <leafValues>
-            4.0098896622657776e-01 -3.0355367064476013e-01
-            -5.7611280679702759e-01 2.4870538711547852e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6055801391601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2269 1.1235000000000000e+03 0 -1 2270 1791. -2 -3 2271
-            2.2500000000000000e+01</internalNodes>
-          <leafValues>
-            4.2222037911415100e-01 -5.7381504774093628e-01
-            -5.7501715421676636e-01 2.7313375473022461e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5979278564453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2272 1.6500000000000000e+01 0 -1 2273
-            1.1500000000000000e+01 -2 -3 2274 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 7.4951916933059692e-01 -2.2320111095905304e-01
-            6.2808310985565186e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5982803344726562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2275 8.8500000000000000e+01 0 -1 2276
-            5.0000000000000000e-01 -2 -3 2277 303.</internalNodes>
-          <leafValues>
-            -4.2098733782768250e-01 4.7041663527488708e-01
-            -8.3091259002685547e-01 3.5231374204158783e-03</leafValues></_>
-        <_>
-          <treeThreshold>6.5862815856933594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2278 5.0000000000000000e-01 0 -1 2279
-            7.5000000000000000e+00 -2 -3 2280 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.1455779075622559e-01 6.9095128774642944e-01
-            -3.3799609541893005e-01 3.8651108741760254e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5698982238769531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2281 2.5000000000000000e+00 0 -1 2282
-            6.5000000000000000e+00 -2 -3 2283 1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            1.1540318280458450e-01 -8.0706399679183960e-01
-            4.5586335659027100e-01 -1.6382929682731628e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.5865753173828125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2284 4.1500000000000000e+01 0 -1 2285 322. -2 -3 2286
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.6401643455028534e-02 7.0236140489578247e-01
-            8.3611255884170532e-01 -3.3973169326782227e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6324913024902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2287 1180. 0 -1 2288 5.0000000000000000e-01 -2 -3 2289
-            4.9850000000000000e+02</internalNodes>
-          <leafValues>
-            5.4826909303665161e-01 -6.1790186166763306e-01
-            4.9796470999717712e-01 -7.6435178518295288e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.6116767883300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2290 1.0086500000000000e+04 0 -1 2291
-            5.0000000000000000e-01 -2 -3 2292 1.4915000000000000e+03</internalNodes>
-          <leafValues>
-            2.2847035527229309e-01 -5.0997734069824219e-01
-            5.6548178195953369e-01 -2.0814302563667297e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6620307922363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2293 1.2195000000000000e+03 0 -1 2294
-            1.9055000000000000e+03 -2 -3 2295 2.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -3.3149933815002441e-01 6.4176028966903687e-01
-            6.0821473598480225e-01 -3.0888804793357849e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6746444702148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2296 2.5000000000000000e+00 0 -1 2297
-            1.0150000000000000e+02 -2 -3 2298 7.2585000000000000e+03</internalNodes>
-          <leafValues>
-            5.9253281354904175e-01 -3.7904369831085205e-01
-            2.6760953664779663e-01 -4.0275105834007263e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6943595886230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2299 1.1500000000000000e+01 0 -1 2300
-            2.4500000000000000e+01 -2 -3 2301 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.8942744731903076e-01 1. -5.9422683715820312e-01
-            1.9715292751789093e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6331527709960938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2302 2.4500000000000000e+01 0 -1 2303
-            8.7500000000000000e+01 -2 -3 2304 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.3940645158290863e-01 3.9157524704933167e-01
-            1.0247871279716492e-01 -7.5354349613189697e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6475265502929688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2305 6.5000000000000000e+00 0 -1 2306
-            2.3500000000000000e+01 -2 -3 2307 3.3500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.6529741287231445e-01 4.5638066530227661e-01
-            -5.1855069398880005e-01 1.4373423159122467e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.6999214172363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2308 9.4500000000000000e+01 0 -1 2309
-            2.0500000000000000e+01 -2 -3 2310 195.</internalNodes>
-          <leafValues>
-            -7.4185177683830261e-02 5.2394580841064453e-01
-            3.7441125512123108e-01 -9.3662869930267334e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7006050109863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2311 3026. 0 -1 2312 2.2500000000000000e+01 -2 -3 2313
-            2.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.7473273277282715e-01 5.1518291234970093e-01
-            -6.7311668395996094e-01 6.8403608165681362e-03</leafValues></_>
-        <_>
-          <treeThreshold>6.7129646301269531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2314 1.7500000000000000e+01 0 -1 2315
-            4.4500000000000000e+01 -2 -3 2316 2961.</internalNodes>
-          <leafValues>
-            -2.2424821555614471e-01 3.6378455162048340e-01
-            -7.0937103033065796e-01 1.6935887932777405e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7392829895019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2317 5.5000000000000000e+00 0 -1 2318
-            1.0500000000000000e+01 -2 -3 2319 46.</internalNodes>
-          <leafValues>
-            6.3752532005310059e-01 -1.6769923269748688e-01
-            -3.9633530378341675e-01 2.1741947531700134e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7652908325195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2320 4.0500000000000000e+01 0 -1 2321
-            3.7750000000000000e+02 -2 -3 2322 288.</internalNodes>
-          <leafValues>
-            7.8108507394790649e-01 -8.9046698808670044e-01
-            2.6008096337318420e-01 -3.1209379434585571e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7522987365722656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2323 2.8450000000000000e+02 0 -1 2324
-            2.1500000000000000e+01 -2 -3 2325 3.1615000000000000e+03</internalNodes>
-          <leafValues>
-            -2.6827138662338257e-01 4.4363465905189514e-01
-            -5.0426739454269409e-01 3.2839775085449219e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7682723999023438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2326 1.4550000000000000e+02 0 -1 2327
-            5.0000000000000000e-01 -2 -3 2328 187.</internalNodes>
-          <leafValues>
-            3.3854234218597412e-01 -1.9424141943454742e-01
-            -7.8695666790008545e-01 1.0578002780675888e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7990608215332031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2329 1.4500000000000000e+01 0 -1 2330 55. -2 -3 2331
-            4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            9.3669831752777100e-01 -7.9035413265228271e-01
-            4.7996759414672852e-01 -1.4678025245666504e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7773666381835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2332 4.4450000000000000e+02 0 -1 2333
-            6.5000000000000000e+00 -2 -3 2334 87.</internalNodes>
-          <leafValues>
-            3.0000856518745422e-01 -5.1463776826858521e-01
-            -4.2596080899238586e-01 5.2854359149932861e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8242584228515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2335 2.3325000000000000e+03 0 -1 2336 10142. -2 -3 2337
-            1.9550000000000000e+02</internalNodes>
-          <leafValues>
-            -6.1795878410339355e-01 7.2833043336868286e-01
-            5.5236649513244629e-01 -7.2167828679084778e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.7640380859375000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2338 1.9500000000000000e+01 0 -1 2339
-            5.5000000000000000e+00 -2 -3 2340 3.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.1623830795288086e-01 2.8547397255897522e-01
-            2.7238869667053223e-01 -6.8565303087234497e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8166297912597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2341 887. 0 -1 2342 1.8950000000000000e+02 -2 -3 2343
-            1.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.8323717117309570e-01 -8.4304898977279663e-01
-            5.2591782808303833e-01 -1.1249145865440369e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.7966316223144531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2344 1.3500000000000000e+01 0 -1 2345
-            5.0500000000000000e+01 -2 -3 2346 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.7582974433898926e-01 8.8582295179367065e-01
-            4.5189410448074341e-01 -1.9998365640640259e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8363616943359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2347 9519. 0 -1 2348 9.9355000000000000e+03 -2 -3 2349
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.6369476020336151e-02 5.6953996419906616e-01
-            6.4817821979522705e-01 -6.5638613700866699e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8680084228515625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2350 1.4500000000000000e+01 0 -1 2351
-            2.2500000000000000e+01 -2 -3 2352 4.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.3236002624034882e-01 6.2589818239212036e-01
-            -4.6971350908279419e-01 3.0481177568435669e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8636512756347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2353 2.3491500000000000e+04 0 -1 2354
-            1.5000000000000000e+00 -2 -3 2355 31.</internalNodes>
-          <leafValues>
-            2.9175955057144165e-01 -2.0415711402893066e-01 -1. 1.</leafValues></_>
-        <_>
-          <treeThreshold>6.8339431762695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2356 2.1500000000000000e+01 0 -1 2357
-            5.0000000000000000e-01 -2 -3 2358 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.2874211072921753e-01 -4.4592785835266113e-01
-            -9.4336575269699097e-01 3.3847200870513916e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8127563476562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2359 2.7500000000000000e+01 0 -1 2360
-            4.5000000000000000e+00 -2 -3 2361 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            1.4308325946331024e-01 -5.4449397325515747e-01
-            5.8717787265777588e-01 -2.1186867356300354e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8410385131835938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2362 9.5000000000000000e+00 0 -1 2363
-            5.5000000000000000e+00 -2 -3 2364 1.2850000000000000e+02</internalNodes>
-          <leafValues>
-            -1.1505768448114395e-01 -9.6275746822357178e-01
-            2.8282612562179565e-01 -3.5639968514442444e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8815826416015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2365 1.9125000000000000e+03 0 -1 2366
-            6.5000000000000000e+00 -2 -3 2367 1.2925000000000000e+03</internalNodes>
-          <leafValues>
-            7.6003736257553101e-01 -1.8823170661926270e-01
-            -3.1990632414817810e-01 3.2092514634132385e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.8693199157714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2368 1.5500000000000000e+01 0 -1 2369
-            4.0445000000000000e+03 -2 -3 2370 1.3500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2088183462619781e-01 -8.6471045017242432e-01
-            4.9937435984611511e-01 -1.2262738496065140e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9212486267089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2371 1.1500000000000000e+01 0 -1 2372
-            1.2500000000000000e+01 -2 -3 2373 1.3250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.8216619491577148e-01 7.6504099369049072e-01
-            -4.9605194479227066e-02 5.4096341133117676e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9281822204589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2374 3.4500000000000000e+01 0 -1 2375
-            6.5000000000000000e+00 -2 -3 2376 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.0201843976974487e-01 3.5367730259895325e-01 1.
-            -3.9128544926643372e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9379959106445312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2377 8.7500000000000000e+01 0 -1 2378
-            7.5000000000000000e+00 -2 -3 2379 273.</internalNodes>
-          <leafValues>
-            -5.3956866264343262e-01 3.2018893957138062e-01
-            -5.9921985864639282e-01 2.5184553861618042e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9302131652832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2380 5.0000000000000000e-01 0 -1 2381
-            4.4500000000000000e+01 -2 -3 2382 1.9204500000000000e+04</internalNodes>
-          <leafValues>
-            -5.0899110734462738e-02 6.8976759910583496e-01
-            -7.7828548848628998e-02 -9.1394501924514771e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9691947937011719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2383 6.7500000000000000e+01 0 -1 2384
-            3.2850000000000000e+02 -2 -3 2385 1224.</internalNodes>
-          <leafValues>
-            1.1171031743288040e-02 7.3188757896423340e-01
-            -8.6419099569320679e-01 2.1196028217673302e-02</leafValues></_>
-        <_>
-          <treeThreshold>6.9572067260742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2386 1.1235000000000000e+03 0 -1 2387
-            8.4050000000000000e+02 -2 -3 2388 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.5439936518669128e-01 6.1207121610641479e-01
-            1.9708819687366486e-01 -4.6194908022880554e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9861968994140625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2389 9.1500000000000000e+01 0 -1 2390
-            1.0500000000000000e+01 -2 -3 2391 4.1495000000000000e+03</internalNodes>
-          <leafValues>
-            1.0701948404312134e-01 -5.6979161500930786e-01
-            -9.6821188926696777e-02 7.0975506305694580e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0039260864257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2392 1.1500000000000000e+01 0 -1 2393 2897. -2 -3 2394
-            2.4350000000000000e+02</internalNodes>
-          <leafValues>
-            -9.1259753704071045e-01 1. 1.7728993296623230e-01
-            -7.3356288671493530e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9705703735351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2395 5.0000000000000000e-01 0 -1 2396
-            2.0500000000000000e+01 -2 -3 2397 4.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.2813202142715454e-01 4.4198977947235107e-01
-            -4.8570594191551208e-01 1.9584445655345917e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9970062255859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2398 5.0000000000000000e-01 0 -1 2399
-            3.1500000000000000e+01 -2 -3 2400 3831.</internalNodes>
-          <leafValues>
-            -6.4685755968093872e-01 7.3702591657638550e-01
-            -2.6504144072532654e-01 5.5941796302795410e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9949569702148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2401 5.0000000000000000e-01 0 -1 2402 5. -2 -3 2403
-            4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.8435417413711548e-01 5.8749139308929443e-01
-            2.7166697382926941e-01 -3.1555649638175964e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0117141723632812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2404 2596. 0 -1 2405 9.1496500000000000e+04 -2 -3 2406
-            1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.8573900461196899e-01 1.6757574677467346e-01
-            8.5581427812576294e-01 -9.4101238250732422e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0224205017089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2407 5749. 0 -1 2408 79. -2 -3 2409 208.</internalNodes>
-          <leafValues>
-            1. -1. 1.0706392675638199e-01 -7.7825403213500977e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0221618652343750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2410 5.1855000000000000e+03 0 -1 2411
-            4.6500000000000000e+01 -2 -3 2412 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -3.6203452944755554e-01 3.4422519803047180e-01
-            -2.5855610147118568e-03 -7.1835225820541382e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0728790283203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2413 1.3500000000000000e+01 0 -1 2414
-            1.0950000000000000e+02 -2 -3 2415 5.3500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9084104895591736e-01 -8.0712783336639404e-01
-            5.5798757076263428e-01 -1.0734169185161591e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0351577758789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2416 1.3405000000000000e+03 0 -1 2417
-            3.5000000000000000e+00 -2 -3 2418 342.</internalNodes>
-          <leafValues>
-            4.1194143891334534e-01 -3.7721332907676697e-01
-            -5.5014234781265259e-01 5.2194917201995850e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0136901855468750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2419 3.7345000000000000e+03 0 -1 2420
-            3.2500000000000000e+01 -2 -3 2421 9.8500000000000000e+01</internalNodes>
-          <leafValues>
-            3.2743006944656372e-01 -2.1467541158199310e-01
-            -8.1029343605041504e-01 7.0203500986099243e-01</leafValues></_>
-        <_>
-          <treeThreshold>6.9686508178710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2422 1.2185000000000000e+03 0 -1 2423
-            1.5000000000000000e+00 -2 -3 2424 4.8755000000000000e+03</internalNodes>
-          <leafValues>
-            2.0333147048950195e-01 -4.5039632916450500e-01
-            4.4757398962974548e-01 -5.9627413749694824e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0005889892578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2425 6.4500000000000000e+01 0 -1 2426
-            3.7150000000000000e+02 -2 -3 2427 6.7750000000000000e+02</internalNodes>
-          <leafValues>
-            2.6681974530220032e-01 -5.9953171014785767e-01
-            3.1938493251800537e-01 -6.9817471504211426e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0428718566894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2428 2.6500000000000000e+01 0 -1 2429
-            1.7650000000000000e+02 -2 -3 2430 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.5495415367186069e-03 -6.1552453041076660e-01
-            -5.8272439241409302e-01 7.1704763174057007e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.0936927795410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2431 1.0950000000000000e+02 0 -1 2432
-            1.2500000000000000e+01 -2 -3 2433 3.4500000000000000e+01</internalNodes>
-          <leafValues>
-            6.7761175334453583e-02 -6.1159509420394897e-01
-            5.0820809602737427e-01 -1.4290602505207062e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1328254699707031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2434 37. 0 -1 2435 108. -2 -3 2436
-            7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.2559959888458252e-01 -9.0183192491531372e-01
-            3.9132472872734070e-01 -1.6153934597969055e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1377151489257812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2437 1.5000000000000000e+00 0 -1 2438
-            4.1500000000000000e+01 -2 -3 2439 136.</internalNodes>
-          <leafValues>
-            -1.6022360324859619e-01 4.5697069168090820e-01
-            -5.8138531446456909e-01 5.7625991106033325e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1590606689453125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2440 2.2950000000000000e+02 0 -1 2441 986. -2 -3 2442
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.5947124958038330e-01 2.1345110237598419e-01
-            5.1724910736083984e-01 -7.9673564434051514e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1604888916015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2443 9.5000000000000000e+00 0 -1 2444
-            2.3500000000000000e+01 -2 -3 2445 1.0550000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6063753962516785e-01 3.1602507829666138e-01
-            -5.2265387773513794e-01 6.4050400257110596e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1843421936035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2446 2.3365000000000000e+03 0 -1 2447
-            1.3333500000000000e+04 -2 -3 2448 7.8250000000000000e+02</internalNodes>
-          <leafValues>
-            -5.7870197296142578e-01 9.2290049791336060e-01
-            6.9137138128280640e-01 -1.5123842656612396e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1939323425292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2449 3.5000000000000000e+00 0 -1 2450
-            1.8500000000000000e+01 -2 -3 2451 6.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -5.3932064771652222e-01 4.5498287677764893e-01
-            -6.5867853164672852e-01 9.6776336431503296e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.1796112060546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2452 1.0050000000000000e+02 0 -1 2453
-            6.5000000000000000e+00 -2 -3 2454 9.9500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1488319337368011e-01 -3.8114818930625916e-01
-            -9.3055361509323120e-01 9.2053020000457764e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1826210021972656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2455 5.3875000000000000e+03 0 -1 2456
-            4.0150000000000000e+02 -2 -3 2457 203.</internalNodes>
-          <leafValues>
-            3.6667090654373169e-01 -3.2799699902534485e-01
-            -2.9070058465003967e-01 6.2547647953033447e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.1566932678222656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2458 1164. 0 -1 2459 12122. -2 -3 2460
-            1.2565000000000000e+03</internalNodes>
-          <leafValues>
-            -8.4399074316024780e-01 8.6422222852706909e-01
-            -2.5927615165710449e-01 3.1698527932167053e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2048255920410156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2461 7.0500000000000000e+01 0 -1 2462
-            5.0000000000000000e-01 -2 -3 2463 113.</internalNodes>
-          <leafValues>
-            4.2299839854240417e-01 -3.7696704268455505e-01
-            4.8132598400115967e-01 -8.4420484304428101e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2493713378906250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2464 1.5000000000000000e+00 0 -1 2465 24. -2 -3 2466
-            1.1650000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3568606376647949e-01 4.4545513391494751e-01
-            4.5487869530916214e-02 -6.0882014036178589e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2295455932617188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2467 2.6500000000000000e+01 0 -1 2468
-            2.5000000000000000e+00 -2 -3 2469 1.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.9328838586807251e-01 -9.2098551988601685e-01
-            2.8382617235183716e-01 -3.1953519582748413e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2064254760742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2470 5.6500000000000000e+01 0 -1 2471
-            3.5000000000000000e+00 -2 -3 2472 2.2450000000000000e+02</internalNodes>
-          <leafValues>
-            2.8244340419769287e-01 -2.9833537340164185e-01 -1.
-            8.5370278358459473e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2284309387207031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2473 4.9500000000000000e+01 0 -1 2474 4038. -2 -3 2475
-            1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4302046895027161e-01 -8.1761771440505981e-01
-            -7.4983465671539307e-01 2.2005748748779297e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2424072265625000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2476 5.0000000000000000e-01 0 -1 2477
-            4.9525000000000000e+03 -2 -3 2478 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            3.8115087151527405e-01 -6.6690814495086670e-01
-            1.3976120948791504e-01 -5.6789624691009521e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2313995361328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2479 3.2500000000000000e+01 0 -1 2480
-            1.1926500000000000e+04 -2 -3 2481 6.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.5613843500614166e-02 -7.5880628824234009e-01
-            2.2690546512603760e-01 -6.3682055473327637e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2143783569335938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2482 5.0000000000000000e-01 0 -1 2483
-            5.7535000000000000e+03 -2 -3 2484 5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.2257243394851685e-01 8.5957908630371094e-01
-            3.2697901129722595e-01 -1.7020969092845917e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2681999206542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2485 7.1500000000000000e+01 0 -1 2486 188. -2 -3 2487
-            177.</internalNodes>
-          <leafValues>
-            -2.7773711085319519e-01 6.7274010181427002e-01
-            -3.3517399430274963e-01 7.5859177112579346e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2897277832031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2488 6.7500000000000000e+01 0 -1 2489
-            2.1500000000000000e+01 -2 -3 2490 7.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.9514396190643311e-01 2.1528589725494385e-01 1.
-            -7.2838509082794189e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.2998519897460938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2491 6.5000000000000000e+00 0 -1 2492 161. -2 -3 2493
-            9578.</internalNodes>
-          <leafValues>
-            6.2451672554016113e-01 -1.9713717699050903e-01
-            1.0124062746763229e-01 -5.1373565196990967e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3003601074218750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2494 2.3415000000000000e+03 0 -1 2495
-            7.6500000000000000e+01 -2 -3 2496 1.4555000000000000e+03</internalNodes>
-          <leafValues>
-            -6.9544225931167603e-01 3.1051948666572571e-01
-            7.0642524957656860e-01 1.7271263524889946e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.3047424316406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2497 1.5500000000000000e+01 0 -1 2498
-            1.1500000000000000e+01 -2 -3 2499 5.7500000000000000e+01</internalNodes>
-          <leafValues>
-            3.4771478176116943e-01 -8.5552608966827393e-01
-            3.6829981207847595e-01 -1.8874453008174896e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3427375793457031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2500 6.2500000000000000e+01 0 -1 2501 34698. -2 -3 2502
-            8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.6296713054180145e-01 -6.3167887926101685e-01
-            3.7994962930679321e-01 -4.6771416068077087e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3244293212890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2503 2.3500000000000000e+01 0 -1 2504
-            3.8500000000000000e+01 -2 -3 2505 427.</internalNodes>
-          <leafValues>
-            -2.9058054089546204e-01 5.2562189102172852e-01
-            6.4414465427398682e-01 -8.3316773176193237e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3628913879394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2506 4.5000000000000000e+00 0 -1 2507
-            8.5000000000000000e+00 -2 -3 2508 1.6925000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7814975380897522e-01 4.8170346021652222e-01
-            -6.5349429845809937e-01 5.4887872189283371e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.3769676208496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2509 15430. 0 -1 2510 1.5950000000000000e+02 -2 -3 2511
-            1.2615000000000000e+03</internalNodes>
-          <leafValues>
-            4.3867623805999756e-01 -7.6247996091842651e-01
-            -4.5795723795890808e-01 2.0065939426422119e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3981689453125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2512 7.3500000000000000e+01 0 -1 2513
-            2.6500000000000000e+01 -2 -3 2514 4.1500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.2215524911880493e-01 2.1201618015766144e-01
-            -7.7795881032943726e-01 7.5186353921890259e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3843399047851562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2515 3.5000000000000000e+00 0 -1 2516 9. -2 -3 2517
-            1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 6.5247339010238647e-01 -5.3328835964202881e-01
-            6.5298572182655334e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.3923049926757812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2518 5.2950000000000000e+02 0 -1 2519
-            1.8500000000000000e+01 -2 -3 2520 6.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7425521612167358e-01 -7.6726049184799194e-01
-            2.3897975683212280e-01 -5.1008826494216919e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3826148986816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2521 7.0500000000000000e+01 0 -1 2522
-            2.8500000000000000e+01 -2 -3 2523 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.1504331231117249e-01 -6.4958560466766357e-01
-            6.4581304788589478e-01 -9.6902929246425629e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.4119972229003906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2524 163. 0 -1 2525 2.0450000000000000e+02 -2 -3 2526
-            1486.</internalNodes>
-          <leafValues>
-            7.2227291762828827e-02 -4.8131951689720154e-01
-            6.7641806602478027e-01 -1.</leafValues></_>
-        <_>
-          <treeThreshold>7.4284828186035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2527 9.5000000000000000e+00 0 -1 2528
-            5.4500000000000000e+01 -2 -3 2529 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1673867106437683e-01 -9.8935294151306152e-01
-            -8.0995440483093262e-01 1.6485558450222015e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.3767173767089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2530 3.3500000000000000e+01 0 -1 2531
-            2.0500000000000000e+01 -2 -3 2532 326.</internalNodes>
-          <leafValues>
-            8.5764698684215546e-02 -5.1765644550323486e-01
-            -3.3359569311141968e-01 5.3560173511505127e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4017349243164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2533 1144. 0 -1 2534 1038. -2 -3 2535 227.</internalNodes>
-          <leafValues>
-            -8.5851883888244629e-01 8.0733579397201538e-01
-            2.5017657876014709e-01 -4.6748492121696472e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4431625366210938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2536 8.6500000000000000e+01 0 -1 2537 7. -2 -3 2538
-            4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0281429290771484e-01 -6.8806976079940796e-01
-            4.1427880525588989e-01 -1.3120372593402863e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4155914306640625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2539 2.8500000000000000e+01 0 -1 2540
-            1.2500000000000000e+01 -2 -3 2541 352.</internalNodes>
-          <leafValues>
-            4.0651530027389526e-01 -2.7571403980255127e-01
-            6.4302980899810791e-01 -6.1632806062698364e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4377723693847656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2542 4.5500000000000000e+01 0 -1 2543
-            4.5000000000000000e+00 -2 -3 2544 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.1374966204166412e-01 -8.0584329366683960e-01
-            -6.8813514709472656e-01 2.2180862724781036e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4892883300781250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2545 7.2450000000000000e+02 0 -1 2546
-            8.2650000000000000e+02 -2 -3 2547 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.0470861941576004e-01 5.1516324281692505e-01
-            1.2213422358036041e-01 -7.9457265138626099e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.4932922363281250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2548 1.4925000000000000e+03 0 -1 2549
-            2.5625000000000000e+03 -2 -3 2550 4.0125000000000000e+03</internalNodes>
-          <leafValues>
-            -1.9472637213766575e-03 8.4926861524581909e-01
-            4.0032647550106049e-02 -7.9371875524520874e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5366584777832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2551 5.0000000000000000e-01 0 -1 2552
-            3.5150000000000000e+02 -2 -3 2553 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.7581409215927124e-01 4.3366453051567078e-01
-            -6.9250804185867310e-01 1.4782861806452274e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5361564636230469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2554 1.4550000000000000e+02 0 -1 2555
-            1.3500000000000000e+01 -2 -3 2556 3.7950000000000000e+02</internalNodes>
-          <leafValues>
-            -9.2167288064956665e-01 2.2473543882369995e-01
-            -6.1316716670989990e-01 5.3515338897705078e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5602142333984375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2557 1.7500000000000000e+01 0 -1 2558
-            3.0150000000000000e+02 -2 -3 2559 5.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -2.0176244899630547e-02 7.6716834306716919e-01
-            -6.2594699859619141e-01 2.9301643371582031e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.5772842407226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2560 7.0205000000000000e+03 0 -1 2561
-            7.5000000000000000e+00 -2 -3 2562 182.</internalNodes>
-          <leafValues>
-            -7.9505175352096558e-01 1.7069797217845917e-01
-            -8.2258385419845581e-01 7.3946392536163330e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5877098083496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2563 4.5500000000000000e+01 0 -1 2564
-            6.8445000000000000e+03 -2 -3 2565 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            3.9029154181480408e-01 -1.7648826539516449e-01
-            -5.5182862281799316e-01 4.6366956830024719e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5638267517089844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2566 5.1850000000000000e+02 0 -1 2567
-            4.5000000000000000e+00 -2 -3 2568 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.6328665018081665e-01 -3.8584133982658386e-01
-            -6.9626593589782715e-01 5.0637173652648926e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5725959777832031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2569 1.9950000000000000e+02 0 -1 2570
-            1.8500000000000000e+01 -2 -3 2571 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.1137224435806274e-01 2.0416383445262909e-01
-            -9.0335428714752197e-01 8.9813232421875000e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5224937438964844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2572 7.5000000000000000e+00 0 -1 2573
-            2.5500000000000000e+01 -2 -3 2574 2.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -7.3831039667129517e-01 3.6077511310577393e-01
-            3.1331515312194824e-01 -5.0101745128631592e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5449661254882812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2575 5.0000000000000000e-01 0 -1 2576
-            3.7665000000000000e+03 -2 -3 2577 8.2500000000000000e+01</internalNodes>
-          <leafValues>
-            7.5498217344284058e-01 -1.5097464621067047e-01
-            -3.8953059911727905e-01 2.2472013533115387e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5411880493164062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2578 4493. 0 -1 2579 2.5500000000000000e+01 -2 -3 2580
-            2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            2.1087837219238281e-01 -2.8623789548873901e-01 -1.
-            9.5196199417114258e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5614067077636719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2581 1.0500000000000000e+01 0 -1 2582 17. -2 -3 2583
-            103.</internalNodes>
-          <leafValues>
-            -7.5117886066436768e-01 9.0265202522277832e-01
-            2.0218542218208313e-01 -7.3936897516250610e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.5999168395996094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2584 3.8500000000000000e+01 0 -1 2585 5086. -2 -3 2586
-            5.4500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9127920866012573e-01 -5.5186152458190918e-01
-            6.0463196039199829e-01 -9.3399420380592346e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6240371704101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2587 2.7500000000000000e+01 0 -1 2588
-            3.5000000000000000e+00 -2 -3 2589 91.</internalNodes>
-          <leafValues>
-            -6.9810129702091217e-02 -8.4188365936279297e-01
-            2.4120073020458221e-01 -6.5708816051483154e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6235023498535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2590 1.9500000000000000e+01 0 -1 2591
-            1.6500000000000000e+01 -2 -3 2592 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.0514994263648987e-01 -3.2603117823600769e-01
-            -4.3177062273025513e-01 8.1372964382171631e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6073257446289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2593 1.2135000000000000e+03 0 -1 2594
-            1.5725000000000000e+03 -2 -3 2595 5.0650000000000000e+02</internalNodes>
-          <leafValues>
-            4.9728196859359741e-01 -4.1840994358062744e-01
-            6.4058172702789307e-01 -1.6176456212997437e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6243354797363281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2596 2.5000000000000000e+00 0 -1 2597
-            4.2500000000000000e+01 -2 -3 2598 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.2679857909679413e-01 -6.9367134571075439e-01
-            5.3237688541412354e-01 -5.3971223533153534e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.6326980590820312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2599 5.0500000000000000e+01 0 -1 2600
-            3.5000000000000000e+00 -2 -3 2601 6.9315000000000000e+03</internalNodes>
-          <leafValues>
-            2.1303455531597137e-01 -6.3557696342468262e-01
-            -1.9230200350284576e-01 4.7144305706024170e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6166137695312500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2602 6905. 0 -1 2603 5.9785000000000000e+03 -2 -3 2604
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.6545404940843582e-02 6.8220782279968262e-01
-            1.9928511977195740e-01 -5.4866182804107666e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6497024536132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2605 3.5000000000000000e+00 0 -1 2606
-            1.5000000000000000e+00 -2 -3 2607 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1. -9.3044626712799072e-01 3.3089175820350647e-01
-            -2.4615941941738129e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6440460205078125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2608 9.8500000000000000e+01 0 -1 2609
-            2.1950000000000000e+02 -2 -3 2610 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -5.9206131845712662e-02 -7.2229409217834473e-01
-            -7.6280659437179565e-01 4.8397278785705566e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6623970031738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2611 6.5500000000000000e+01 0 -1 2612
-            5.0000000000000000e-01 -2 -3 2613 1.0050000000000000e+02</internalNodes>
-          <leafValues>
-            3.7457340955734253e-01 -9.0597450733184814e-01
-            1.8351505696773529e-01 -5.7986891269683838e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6471252441406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2614 1.1615000000000000e+03 0 -1 2615
-            2.0525000000000000e+03 -2 -3 2616 7.8150000000000000e+02</internalNodes>
-          <leafValues>
-            -7.5747263431549072e-01 8.2365345954895020e-01
-            4.9958717823028564e-01 -1.5272425115108490e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6615051269531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2617 1.2950000000000000e+02 0 -1 2618
-            4.0500000000000000e+01 -2 -3 2619 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1159070134162903e-02 5.3420531749725342e-01
-            3.5195964574813843e-01 -8.9636689424514771e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6877807617187500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2620 2.2050000000000000e+02 0 -1 2621
-            9.5000000000000000e+00 -2 -3 2622 1.5500000000000000e+01</internalNodes>
-          <leafValues>
-            1.3451068103313446e-01 -4.0673348307609558e-01
-            -8.1775653362274170e-01 7.4299770593643188e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6823638916015625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2623 2.4500000000000000e+01 0 -1 2624
-            5.9500000000000000e+01 -2 -3 2625 5.1515000000000000e+03</internalNodes>
-          <leafValues>
-            -7.1872109174728394e-01 7.7110481262207031e-01
-            3.9283660054206848e-01 -1.6952608525753021e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6773773193359375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2626 8.5000000000000000e+00 0 -1 2627
-            3.5000000000000000e+00 -2 -3 2628 1.8450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.7384725809097290e-01 6.7822283506393433e-01
-            -3.4205380082130432e-01 2.1638515591621399e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6982254028320312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2629 2.8500000000000000e+01 0 -1 2630 245. -2 -3 2631
-            61.</internalNodes>
-          <leafValues>
-            2.0848464965820312e-01 -6.2569552659988403e-01
-            -8.1863158941268921e-01 8.4820270538330078e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.6841300964355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2632 2.1500000000000000e+01 0 -1 2633
-            3.5000000000000000e+00 -2 -3 2634 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -8.5113090276718140e-01 7.8649562597274780e-01
-            4.1131305694580078e-01 -1.4095856249332428e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7013679504394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2635 7.4950000000000000e+02 0 -1 2636
-            9.5000000000000000e+00 -2 -3 2637 7.9500000000000000e+01</internalNodes>
-          <leafValues>
-            1.7237815260887146e-01 -4.3325147032737732e-01
-            -1.0799569636583328e-01 6.9663918018341064e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7435089111328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2638 1.7500000000000000e+01 0 -1 2639 174. -2 -3 2640
-            12650.</internalNodes>
-          <leafValues>
-            2.8112256526947021e-01 -5.1195782423019409e-01
-            4.2141020298004150e-01 -5.3448003530502319e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7268295288085938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2641 503. 0 -1 2642 1.3950000000000000e+02 -2 -3 2643
-            5.5000000000000000e+00</internalNodes>
-          <leafValues>
-            5.8834999799728394e-01 -8.3229357004165649e-01
-            3.7692824006080627e-01 -1.6679267585277557e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7178421020507812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2644 1.3500000000000000e+01 0 -1 2645
-            2.5000000000000000e+00 -2 -3 2646 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.5913814306259155e-01 5.2206271886825562e-01
-            4.7852468490600586e-01 -8.9874200522899628e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.7000297546386719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2647 2.6500000000000000e+01 0 -1 2648
-            9.5000000000000000e+00 -2 -3 2649 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.1166177988052368e-01 4.6178385615348816e-01
-            3.5849693417549133e-01 -1.7812377214431763e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7597846984863281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2650 5.0000000000000000e-01 0 -1 2651
-            5.5000000000000000e+00 -2 -3 2652 6.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4793010950088501e-01 4.5227390527725220e-01
-            -2.8616324067115784e-01 7.2525143623352051e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7900642395019531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2653 3.9500000000000000e+01 0 -1 2654 26. -2 -3 2655
-            5218.</internalNodes>
-          <leafValues>
-            5.8358985185623169e-01 -4.8778259754180908e-01
-            3.0279731750488281e-01 -8.5277533531188965e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7819618225097656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2656 9.5000000000000000e+00 0 -1 2657 6301. -2 -3 2658
-            6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            9.1035622358322144e-01 -9.4324058294296265e-01
-            4.2837977409362793e-01 -1.6642063856124878e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7973083496093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2659 1.0500000000000000e+01 0 -1 2660
-            2.5595000000000000e+03 -2 -3 2661 3.0950000000000000e+02</internalNodes>
-          <leafValues>
-            -4.6133957803249359e-02 5.8160132169723511e-01
-            -5.6929016113281250e-01 4.2342483997344971e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7966255187988281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2662 6.5000000000000000e+00 0 -1 2663
-            2.9250000000000000e+02 -2 -3 2664 4.7550000000000000e+02</internalNodes>
-          <leafValues>
-            -1.8533475697040558e-02 8.2740765810012817e-01
-            -7.0250022411346436e-01 -6.8264966830611229e-03</leafValues></_>
-        <_>
-          <treeThreshold>7.7632484436035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2665 2.5750000000000000e+02 0 -1 2666
-            3.7515000000000000e+03 -2 -3 2667 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.5757788419723511e-01 8.6831378936767578e-01
-            2.1071645617485046e-01 -3.3376976847648621e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7842147827148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2668 1.6650000000000000e+02 0 -1 2669 196. -2 -3 2670
-            2.5150000000000000e+02</internalNodes>
-          <leafValues>
-            1.5279424190521240e-01 -6.0143697261810303e-01
-            5.7514303922653198e-01 -2.5379255414009094e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.7947998046875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2671 1.9500000000000000e+01 0 -1 2672
-            1.8850000000000000e+02 -2 -3 2673 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4067907333374023e-01 1. 4.1685935854911804e-01
-            -1.3797542452812195e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8399063110351562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2674 2.5500000000000000e+01 0 -1 2675
-            2.5000000000000000e+00 -2 -3 2676 7.0765000000000000e+03</internalNodes>
-          <leafValues>
-            2.0323142409324646e-01 -4.4056713581085205e-01
-            -7.2788339853286743e-01 4.5106858015060425e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8570816040039062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2677 42. 0 -1 2678 1.8550000000000000e+02 -2 -3 2679
-            2.6500000000000000e+01</internalNodes>
-          <leafValues>
-            8.6221927404403687e-01 -8.9485520124435425e-01
-            -6.2209093570709229e-01 1.7175154387950897e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8441680908203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2680 6.1500000000000000e+01 0 -1 2681
-            5.0000000000000000e-01 -2 -3 2682 1.9650000000000000e+02</internalNodes>
-          <leafValues>
-            4.3466070294380188e-01 -1.2913754582405090e-01
-            3.0203801393508911e-01 -7.8498184680938721e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8473335266113281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2683 2.4500000000000000e+01 0 -1 2684
-            1.3505000000000000e+03 -2 -3 2685 1.1150000000000000e+02</internalNodes>
-          <leafValues>
-            1.2745502591133118e-01 -5.3675878047943115e-01
-            7.7312016487121582e-01 3.1652595847845078e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.8451828002929688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2686 2.3145000000000000e+03 0 -1 2687 267. -2 -3 2688
-            13841.</internalNodes>
-          <leafValues>
-            -6.8013966083526611e-01 6.3926976919174194e-01
-            5.1043254137039185e-01 -5.8976538479328156e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.8873893737792969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2689 2.3050000000000000e+02 0 -1 2690
-            8.5500000000000000e+01 -2 -3 2691 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            1.5697926282882690e-01 -4.9062812328338623e-01
-            -2.8371900320053101e-01 5.3703123331069946e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8867477416992188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2692 1.7500000000000000e+01 0 -1 2693
-            2.3500000000000000e+01 -2 -3 2694 2.9850000000000000e+02</internalNodes>
-          <leafValues>
-            -8.6949959397315979e-02 4.9665886163711548e-01
-            4.2928251624107361e-01 -7.4992567300796509e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9131950378417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2695 8.7500000000000000e+01 0 -1 2696
-            1.9850000000000000e+02 -2 -3 2697 84.</internalNodes>
-          <leafValues>
-            2.6447936892509460e-01 -4.0403616428375244e-01
-            -7.4564838409423828e-01 7.5660055875778198e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8859619140625000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2698 1.8500000000000000e+01 0 -1 2699 193. -2 -3 2700
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            6.6051805019378662e-01 -6.8317562341690063e-01
-            4.0860527753829956e-01 -1.5469188988208771e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9192871093750000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2701 1.0450000000000000e+02 0 -1 2702
-            2.1250000000000000e+02 -2 -3 2703 368.</internalNodes>
-          <leafValues>
-            2.8573963046073914e-01 -5.1572942733764648e-01
-            3.3325448632240295e-01 -7.9736381769180298e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9073951721191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2704 5.0000000000000000e-01 0 -1 2705
-            1.3350000000000000e+02 -2 -3 2706 8.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.5674408674240112e-01 4.2235055565834045e-01
-            -6.1476016044616699e-01 3.5760600119829178e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.9772453308105469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2707 1622. 0 -1 2708 5.6850000000000000e+02 -2 -3 2709
-            2.3500000000000000e+01</internalNodes>
-          <leafValues>
-            3.7303709983825684e-01 -2.6838380098342896e-01
-            8.5874927043914795e-01 -6.8010163307189941e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9616546630859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2710 5.1150000000000000e+02 0 -1 2711
-            2.0500000000000000e+01 -2 -3 2712 6.2385000000000000e+03</internalNodes>
-          <leafValues>
-            -2.7740508317947388e-01 6.4964014291763306e-01
-            6.8416231870651245e-01 -1.4068825542926788e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9560432434082031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2713 2.0500000000000000e+01 0 -1 2714 152. -2 -3 2715
-            118.</internalNodes>
-          <leafValues>
-            3.3152368664741516e-01 -7.2081387042999268e-01
-            -7.7464383840560913e-01 -7.1336306631565094e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.9178382873535156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2716 5.0000000000000000e-01 0 -1 2717
-            5.0000000000000000e-01 -2 -3 2718 2.8550000000000000e+02</internalNodes>
-          <leafValues>
-            -8.7511628866195679e-01 4.4366469979286194e-01
-            2.7641782164573669e-01 -3.8205233216285706e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9044113159179688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2719 3.6758500000000000e+04 0 -1 2720 119. -2 -3 2721
-            9.8250000000000000e+02</internalNodes>
-          <leafValues>
-            -8.9374190568923950e-01 1. 4.1436728835105896e-01
-            -1.3426418602466583e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.8986122131347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2722 5.0000000000000000e-01 0 -1 2723
-            2.2500000000000000e+01 -2 -3 2724 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2067567110061646e-01 3.4801307320594788e-01
-            -6.9476479291915894e-01 -5.7994190603494644e-02</leafValues></_>
-        <_>
-          <treeThreshold>7.9108413696289062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2725 4.2500000000000000e+01 0 -1 2726
-            1.8500000000000000e+01 -2 -3 2727 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.1990894079208374e-01 5.0099647045135498e-01
-            -5.2207231521606445e-01 1.2229448556900024e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9801383972167969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2728 8.2550000000000000e+02 0 -1 2729
-            5.0000000000000000e-01 -2 -3 2730 6.1765000000000000e+03</internalNodes>
-          <leafValues>
-            3.1118586659431458e-01 -3.7582796812057495e-01
-            6.9296795129776001e-01 -9.2976748943328857e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.0057861328125000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2731 7.5350000000000000e+02 0 -1 2732
-            5.8500000000000000e+01 -2 -3 2733 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -2.4525830149650574e-01 2.5647372007369995e-01
-            8.4999513626098633e-01 -9.9117010831832886e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9780632019042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2734 5.0000000000000000e-01 0 -1 2735 108. -2 -3 2736
-            7.1500000000000000e+01</internalNodes>
-          <leafValues>
-            6.9359833002090454e-01 -6.9194906949996948e-01
-            -2.7722206711769104e-01 4.1715595126152039e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0145835876464844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2737 2.0500000000000000e+01 0 -1 2738
-            4.5000000000000000e+00 -2 -3 2739 7.6500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.7951823472976685e-01 3.6520305275917053e-01
-            -3.8517192006111145e-01 4.9779340624809265e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9998329162597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2740 1.1165000000000000e+03 0 -1 2741
-            4.5500000000000000e+01 -2 -3 2742 7.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -9.2406588792800903e-01 1. 3.6648508906364441e-01
-            -1.4751173555850983e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0417495727539062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2743 7905. 0 -1 2744 1.4950000000000000e+02 -2 -3 2745
-            98.</internalNodes>
-          <leafValues>
-            3.2732751220464706e-02 -7.6812428236007690e-01
-            -7.5380378961563110e-01 4.7367131710052490e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9864738464355469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2746 6.5000000000000000e+00 0 -1 2747
-            1.2235000000000000e+03 -2 -3 2748 27.</internalNodes>
-          <leafValues>
-            5.5213552713394165e-01 -6.3920162618160248e-02
-            -9.2558085918426514e-01 -1.1656486988067627e-01</leafValues></_>
-        <_>
-          <treeThreshold>7.9995124816894531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2749 2.1150000000000000e+02 0 -1 2750
-            1.6500000000000000e+01 -2 -3 2751 34.</internalNodes>
-          <leafValues>
-            2.0876583456993103e-01 -3.5845145583152771e-01
-            -7.5983208417892456e-01 6.1741626262664795e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0029579162597656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2752 1.0500000000000000e+01 0 -1 2753
-            3.0150000000000000e+02 -2 -3 2754 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8833340704441071e-01 -4.5257857441902161e-01
-            -8.7599718570709229e-01 3.9588588476181030e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0429824829101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2755 1.7500000000000000e+01 0 -1 2756
-            5.5950000000000000e+02 -2 -3 2757 3.8500000000000000e+01</internalNodes>
-          <leafValues>
-            9.0497744083404541e-01 -3.4649524092674255e-01
-            4.0024894475936890e-01 -4.3823891878128052e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0367797851562500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2758 5.0000000000000000e-01 0 -1 2759
-            1.0032500000000000e+04 -2 -3 2760 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.4333506822586060e-01 4.4759553670883179e-01
-            -6.5220975875854492e-01 5.3118625655770302e-03</leafValues></_>
-        <_>
-          <treeThreshold>8.0484443664550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2761 7.5500000000000000e+01 0 -1 2762
-            8.4500000000000000e+01 -2 -3 2763 51.</internalNodes>
-          <leafValues>
-            -4.7128376364707947e-01 3.0099546909332275e-01
-            -5.9575259685516357e-01 4.5461925864219666e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0230026245117188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2764 6.6250000000000000e+02 0 -1 2765 4812. -2 -3 2766
-            9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.2453155517578125e-01 8.0837249755859375e-01
-            3.8529312610626221e-01 -2.5441926717758179e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0529327392578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2767 5.9500000000000000e+01 0 -1 2768
-            1.6050000000000000e+02 -2 -3 2769 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.9788705110549927e-01 -9.0285009145736694e-01
-            2.9930576682090759e-01 -2.6814186573028564e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0221504211425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2770 3.0500000000000000e+01 0 -1 2771
-            4.5000000000000000e+00 -2 -3 2772 1.4475000000000000e+03</internalNodes>
-          <leafValues>
-            -9.4630533456802368e-01 8.2679504156112671e-01
-            2.5290638208389282e-01 -3.0782324075698853e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0379684448242188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2773 5.0645000000000000e+03 0 -1 2774
-            3.2500000000000000e+01 -2 -3 2775 3.5325000000000000e+03</internalNodes>
-          <leafValues>
-            -6.8182122707366943e-01 2.9198646545410156e-01
-            5.7170498371124268e-01 -9.3514062464237213e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.0165153503417969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2776 1.5500000000000000e+01 0 -1 2777
-            1.2765000000000000e+03 -2 -3 2778 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -1.2029168428853154e-03 6.6435748338699341e-01
-            5.4809719324111938e-01 -6.2805855274200439e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0611167907714844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2779 2.5000000000000000e+00 0 -1 2780
-            2.1500000000000000e+01 -2 -3 2781 1.2050000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4764390289783478e-01 4.4601744413375854e-01
-            1.6960276663303375e-01 -5.8656966686248779e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0892166137695312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2782 5.4500000000000000e+01 0 -1 2783
-            9.7350000000000000e+02 -2 -3 2784 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.7698031067848206e-01 -8.4596508741378784e-01
-            2.8099426627159119e-01 -3.0595216155052185e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1190002441406250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2785 3.5000000000000000e+00 0 -1 2786
-            9.4500000000000000e+01 -2 -3 2787 15.</internalNodes>
-          <leafValues>
-            -2.3588234186172485e-01 2.9783576726913452e-01 1.
-            -9.3145948648452759e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0872680664062500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2788 5.0000000000000000e-01 0 -1 2789 34. -2 -3 2790
-            404.</internalNodes>
-          <leafValues>
-            -9.7627913951873779e-01 4.5835772156715393e-01
-            3.3686440438032150e-02 -6.0926121473312378e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1137512207031250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2791 4.2500000000000000e+01 0 -1 2792
-            7.5000000000000000e+00 -2 -3 2793 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            4.3087863922119141e-01 -5.4735422134399414e-01
-            -7.4202680587768555e-01 2.6482933759689331e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1074195861816406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2794 6045. 0 -1 2795 3582. -2 -3 2796
-            1.4355000000000000e+03</internalNodes>
-          <leafValues>
-            5.6150436401367188e-01 -6.3314586877822876e-02
-            -9.8905169963836670e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.1611145019531250e+01</treeThreshold>
-          <internalNodes>
-            1 2 2797 1.7500000000000000e+01 0 -1 2798
-            6.3500000000000000e+01 -2 -3 2799 2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.5531716942787170e-02 5.3694951534271240e-01
-            4.7020646929740906e-01 -5.0288665294647217e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1308403015136719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2800 5.5000000000000000e+00 0 -1 2801 110. -2 -3 2802
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1038602590560913e-01 7.3705679178237915e-01
-            2.4539317190647125e-01 -3.0274006724357605e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.0943153381347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2803 4.9550000000000000e+02 0 -1 2804
-            1.0500000000000000e+01 -2 -3 2805 1.7500000000000000e+01</internalNodes>
-          <leafValues>
-            1.8987993896007538e-01 -3.6525547504425049e-01 -1.
-            8.1189829111099243e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1049530029296875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2806 1.7050000000000000e+02 0 -1 2807
-            5.5000000000000000e+00 -2 -3 2808 6.3500000000000000e+01</internalNodes>
-          <leafValues>
-            5.0011897087097168e-01 -2.4462732672691345e-01
-            6.2346208095550537e-01 -5.9039413928985596e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1308738708496094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2809 3.8500000000000000e+01 0 -1 2810
-            8.6500000000000000e+01 -2 -3 2811 8.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.8746827840805054e-01 2.5921225547790527e-01
-            6.4567667245864868e-01 -3.9673528075218201e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1096168518066406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2812 4.5000000000000000e+00 0 -1 2813
-            3.6500000000000000e+01 -2 -3 2814 1.2500000000000000e+01</internalNodes>
-          <leafValues>
-            8.4782302379608154e-01 -9.7110116481781006e-01
-            3.3998885750770569e-01 -2.1257449686527252e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1410560607910156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2815 4.5000000000000000e+00 0 -1 2816
-            7.5500000000000000e+01 -2 -3 2817 1.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 1. 3.1439647078514099e-01 -1.7778587341308594e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1814201354980469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2818 3.9500000000000000e+01 0 -1 2819
-            6.4750000000000000e+02 -2 -3 2820 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            2.4708394706249237e-01 -9.2105174064636230e-01
-            4.0363448858261108e-01 -1.2905533611774445e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1573196411132812e+01</treeThreshold>
-          <internalNodes>
-            1 2 2821 3.0500000000000000e+01 0 -1 2822
-            5.0000000000000000e-01 -2 -3 2823 5.0500000000000000e+01</internalNodes>
-          <leafValues>
-            4.9701321125030518e-01 -5.6365805864334106e-01
-            2.8191345930099487e-01 -5.3536522388458252e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1956001281738281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2824 4.6085000000000000e+03 0 -1 2825
-            1.3250000000000000e+02 -2 -3 2826 1.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.4937385320663452e-01 9.3439608812332153e-01
-            3.8280078768730164e-01 -2.6699417829513550e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1513214111328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2827 3.0500000000000000e+01 0 -1 2828
-            5.5000000000000000e+00 -2 -3 2829 9.9235000000000000e+03</internalNodes>
-          <leafValues>
-            2.1246223151683807e-01 -4.4278442859649658e-01
-            -8.1646180152893066e-01 5.1293396949768066e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1699577331542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2830 1.1650000000000000e+02 0 -1 2831
-            8.2500000000000000e+01 -2 -3 2832 3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8636158108711243e-01 -4.9596223235130310e-01
-            -8.9908498525619507e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.2445182800292969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2833 1903. 0 -1 2834 2.5000000000000000e+00 -2 -3 2835
-            6.0445000000000000e+03</internalNodes>
-          <leafValues>
-            1.8896391987800598e-01 -3.2746449112892151e-01
-            7.4561136960983276e-01 -7.9816836118698120e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2831352233886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2836 2.7500000000000000e+01 0 -1 2837 469. -2 -3 2838
-            1.2175000000000000e+03</internalNodes>
-          <leafValues>
-            7.7044230699539185e-01 -9.5174908638000488e-01
-            -1.4690612256526947e-01 3.8616815209388733e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2686500549316406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2839 2895. 0 -1 2840 4.3500000000000000e+01 -2 -3 2841
-            34.</internalNodes>
-          <leafValues>
-            -1.4485244452953339e-01 4.4888463616371155e-01
-            3.6486008763313293e-01 -8.1205248832702637e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2188568115234375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2842 3.5000000000000000e+00 0 -1 2843 2070. -2 -3 2844
-            4.7500000000000000e+01</internalNodes>
-          <leafValues>
-            -6.9201928377151489e-01 3.1747218966484070e-01
-            -4.9793621897697449e-01 5.4417175054550171e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2745765686035156e+01</treeThreshold>
-          <internalNodes>
-            1 2 2845 2.5000000000000000e+00 0 -1 2846
-            7.5000000000000000e+00 -2 -3 2847 1.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4509557485580444e-01 5.5719637870788574e-01
-            1.7902635037899017e-01 -4.2469331622123718e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2670654296875000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2848 1.3500000000000000e+01 0 -1 2849
-            9.4650000000000000e+02 -2 -3 2850 7.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -3.3974867314100266e-02 -8.2525712251663208e-01
-            -4.6273630857467651e-01 6.6797983646392822e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2877090454101562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2851 1.4500000000000000e+01 0 -1 2852
-            1.1915000000000000e+03 -2 -3 2853 3.9500000000000000e+01</internalNodes>
-          <leafValues>
-            6.6358172893524170e-01 -7.2160053253173828e-01
-            -6.6055583953857422e-01 2.0643877983093262e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2504707336425781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2854 4.5000000000000000e+00 0 -1 2855
-            1.6250000000000000e+02 -2 -3 2856 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.9229575991630554e-02 6.7639851570129395e-01
-            7.7679026126861572e-01 -3.7238210439682007e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.1991981506347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2857 1.8500000000000000e+01 0 -1 2858
-            1.5500000000000000e+01 -2 -3 2859 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.6943126916885376e-01 2.8580504655838013e-01
-            5.7573765516281128e-01 -5.1273131370544434e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.2700317382812500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2860 2.5335000000000000e+03 0 -1 2861
-            5.5000000000000000e+00 -2 -3 2862 9017.</internalNodes>
-          <leafValues>
-            4.5291054248809814e-01 -3.1770652532577515e-01
-            7.0833772420883179e-01 -5.8668452501296997e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3036483764648438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2863 1.2665000000000000e+03 0 -1 2864
-            2.7950000000000000e+02 -2 -3 2865 1.6050000000000000e+02</internalNodes>
-          <leafValues>
-            5.6190413236618042e-01 -9.4979606568813324e-02
-            -5.6120347976684570e-01 6.9735217094421387e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3268234252929688e+01</treeThreshold>
-          <internalNodes>
-            1 2 2866 3.1500000000000000e+01 0 -1 2867
-            2.2850000000000000e+02 -2 -3 2868 338.</internalNodes>
-          <leafValues>
-            2.9099774360656738e-01 -8.5712206363677979e-01
-            -7.3761904239654541e-01 2.3174422979354858e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3142601013183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2869 1.3500000000000000e+01 0 -1 2870
-            7.5500000000000000e+01 -2 -3 2871 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -6.1628973484039307e-01 8.9499497413635254e-01
-            5.3249603509902954e-01 -1.2562887370586395e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3346061706542969e+01</treeThreshold>
-          <internalNodes>
-            1 2 2872 5.8500000000000000e+01 0 -1 2873
-            1.4500000000000000e+01 -2 -3 2874 2.3655000000000000e+03</internalNodes>
-          <leafValues>
-            -5.8924037218093872e-01 2.0346269011497498e-01
-            6.8413233757019043e-01 -7.3724877834320068e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3734870910644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2875 1.5500000000000000e+01 0 -1 2876
-            2.4500000000000000e+01 -2 -3 2877 842.</internalNodes>
-          <leafValues>
-            -9.6514111757278442e-01 4.5274001359939575e-01
-            -4.4388589262962341e-01 1.6307270526885986e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3378517150878906e+01</treeThreshold>
-          <internalNodes>
-            1 2 2878 2.3415000000000000e+03 0 -1 2879
-            1.1135000000000000e+03 -2 -3 2880 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            -6.0065728425979614e-01 4.9152576923370361e-01
-            3.9019897580146790e-01 -3.5635352134704590e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3842796325683594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2881 7.7500000000000000e+01 0 -1 2882
-            1.5000000000000000e+00 -2 -3 2883 34.</internalNodes>
-          <leafValues>
-            3.0433416366577148e-01 -3.4621056914329529e-01
-            -2.3730756342411041e-01 7.2603577375411987e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4082458496093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 2884 5.0000000000000000e-01 0 -1 2885
-            1.5000000000000000e+00 -2 -3 2886 2.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.4981471300125122e-01 4.6478056907653809e-01
-            -4.4265326857566833e-01 2.3966242372989655e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4403526306152344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2887 1.9735000000000000e+03 0 -1 2888 61716. -2 -3 2889
-            7.1250000000000000e+02</internalNodes>
-          <leafValues>
-            3.2107087969779968e-01 -7.3176121711730957e-01
-            -4.2035382986068726e-01 6.5387272834777832e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3859382629394531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2890 5.1500000000000000e+01 0 -1 2891
-            5.4500000000000000e+01 -2 -3 2892 9.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -8.5267591476440430e-01 3.3089217543601990e-01
-            -5.4414278268814087e-01 1.4185604453086853e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4165733337402344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2893 2.5000000000000000e+00 0 -1 2894 170. -2 -3 2895
-            5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            -7.4921059608459473e-01 1. 3.0634912848472595e-01
-            -2.8711661696434021e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4014938354492188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2896 5.0000000000000000e-01 0 -1 2897
-            4.5000000000000000e+00 -2 -3 2898 1.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -4.4929865002632141e-01 7.1007603406906128e-01
-            5.1218295097351074e-01 -2.8127226233482361e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3658638000488281e+01</treeThreshold>
-          <internalNodes>
-            1 2 2899 6.2500000000000000e+01 0 -1 2900
-            7.7500000000000000e+01 -2 -3 2901 5.4650000000000000e+02</internalNodes>
-          <leafValues>
-            1.7899210751056671e-01 -3.5629883408546448e-01
-            6.6323882341384888e-01 -6.2932920455932617e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4031822204589844e+01</treeThreshold>
-          <internalNodes>
-            1 2 2902 4.3500000000000000e+01 0 -1 2903
-            2.5000000000000000e+00 -2 -3 2904 1.4450000000000000e+02</internalNodes>
-          <leafValues>
-            2.9303130507469177e-01 -7.2133332490921021e-01
-            3.7318074703216553e-01 -2.9929837584495544e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4148094177246094e+01</treeThreshold>
-          <internalNodes>
-            1 2 2905 4.4500000000000000e+01 0 -1 2906
-            5.5000000000000000e+00 -2 -3 2907 1218.</internalNodes>
-          <leafValues>
-            1.1627596616744995e-01 -6.5344148874282837e-01
-            -6.1276328563690186e-01 3.0713844299316406e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3736122131347656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2908 2.2500000000000000e+01 0 -1 2909
-            7.5000000000000000e+00 -2 -3 2910 4945.</internalNodes>
-          <leafValues>
-            2.0239315927028656e-01 -4.1197755932807922e-01
-            -6.5554910898208618e-01 5.7477289438247681e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.3684288024902344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2911 6.1500000000000000e+01 0 -1 2912
-            3.5000000000000000e+00 -2 -3 2913 3.6500000000000000e+01</internalNodes>
-          <leafValues>
-            2.9327356815338135e-01 -5.5817484855651855e-01
-            7.1029824018478394e-01 -5.1831677556037903e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.3512733459472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2914 5.4500000000000000e+01 0 -1 2915
-            1.5000000000000000e+00 -2 -3 2916 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.4946056604385376e-01 4.1890572756528854e-02
-            3.9327812194824219e-01 -1.7155566811561584e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4089424133300781e+01</treeThreshold>
-          <internalNodes>
-            1 2 2917 9.3500000000000000e+01 0 -1 2918 2760. -2 -3 2919
-            1.1250000000000000e+02</internalNodes>
-          <leafValues>
-            -2.4497070908546448e-01 9.6521437168121338e-01
-            5.7669252157211304e-01 -7.6096898317337036e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4561004638671875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2920 5.0000000000000000e-01 0 -1 2921
-            6.5000000000000000e+00 -2 -3 2922 6.9750000000000000e+02</internalNodes>
-          <leafValues>
-            -5.3141713142395020e-01 4.7158041596412659e-01
-            2.2022259235382080e-01 -4.3360495567321777e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.4944801330566406e+01</treeThreshold>
-          <internalNodes>
-            1 2 2923 1.4050000000000000e+02 0 -1 2924
-            5.0000000000000000e-01 -2 -3 2925 7.4850000000000000e+02</internalNodes>
-          <leafValues>
-            1.5521393716335297e-01 -5.1790440082550049e-01
-            3.8379338383674622e-01 -4.4605687260627747e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5207305908203125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2926 1.5500000000000000e+01 0 -1 2927
-            3.3500000000000000e+01 -2 -3 2928 255.</internalNodes>
-          <leafValues>
-            -2.9250434041023254e-01 6.5829980373382568e-01
-            -6.5028876066207886e-01 5.1617544889450073e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5524932861328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2929 2.4500000000000000e+01 0 -1 2930
-            2.8500000000000000e+01 -2 -3 2931 4.2500000000000000e+01</internalNodes>
-          <leafValues>
-            -1. 3.1762468814849854e-01 3.0006918311119080e-01
-            -5.6320971250534058e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5334136962890625e+01</treeThreshold>
-          <internalNodes>
-            1 2 2932 3.5000000000000000e+00 0 -1 2933
-            1.5500000000000000e+01 -2 -3 2934 2457.</internalNodes>
-          <leafValues>
-            -4.4446155428886414e-01 4.3577027320861816e-01
-            4.5368546247482300e-01 -4.4899699091911316e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.5264480590820312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2935 5.0000000000000000e-01 0 -1 2936 115. -2 -3 2937
-            2.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1964131593704224e-01 4.9966832995414734e-01
-            5.8283418416976929e-01 -6.9656021893024445e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.5903366088867188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2938 7.1500000000000000e+01 0 -1 2939
-            5.4500000000000000e+01 -2 -3 2940 143.</internalNodes>
-          <leafValues>
-            1.6550585627555847e-01 -4.3812391161918640e-01
-            6.3888710737228394e-01 -5.4803293943405151e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6248062133789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2941 2.5000000000000000e+00 0 -1 2942
-            9.0500000000000000e+01 -2 -3 2943 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            1.0908889025449753e-01 -8.8574463129043579e-01
-            3.4469136595726013e-01 -2.0632795989513397e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6533218383789062e+01</treeThreshold>
-          <internalNodes>
-            1 2 2944 2.1500000000000000e+01 0 -1 2945
-            4.5000000000000000e+00 -2 -3 2946 4.4500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.4494426250457764e-01 8.8365721702575684e-01
-            2.8515672683715820e-01 -8.1787091493606567e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7068389892578125e+01</treeThreshold>
-          <internalNodes>
-            1 2 2947 8.2650000000000000e+02 0 -1 2948
-            4.5000000000000000e+00 -2 -3 2949 1.9675500000000000e+04</internalNodes>
-          <leafValues>
-            3.3902516961097717e-01 -3.3688139915466309e-01
-            5.3517556190490723e-01 -6.7757689952850342e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6810844421386719e+01</treeThreshold>
-          <internalNodes>
-            1 2 2950 2.5500000000000000e+01 0 -1 2951
-            2.5000000000000000e+00 -2 -3 2952 1.3035000000000000e+03</internalNodes>
-          <leafValues>
-            9.1093343496322632e-01 -8.2202631235122681e-01
-            3.2981109619140625e-01 -2.5754809379577637e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6275955200195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 2953 2.2369500000000000e+04 0 -1 2954
-            1.5000000000000000e+00 -2 -3 2955 9.5285000000000000e+03</internalNodes>
-          <leafValues>
-            1.4417627826333046e-02 -6.9124591350555420e-01
-            3.7811917066574097e-01 -5.3488659858703613e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6942420959472656e+01</treeThreshold>
-          <internalNodes>
-            1 2 2956 1.0645000000000000e+03 0 -1 2957
-            3.5000000000000000e+00 -2 -3 2958 7.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.4049446582794189e-01 -3.5957664251327515e-01
-            9.1249042749404907e-01 -1.7921762168407440e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7227539062500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2959 9.5000000000000000e+00 0 -1 2960 199. -2 -3 2961
-            6.6465000000000000e+03</internalNodes>
-          <leafValues>
-            8.8686686754226685e-01 -6.7846179008483887e-01
-            -3.4822642803192139e-01 2.8511366248130798e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7103866577148438e+01</treeThreshold>
-          <internalNodes>
-            1 2 2962 6.5000000000000000e+00 0 -1 2963
-            1.5000000000000000e+00 -2 -3 2964 4.3450000000000000e+02</internalNodes>
-          <leafValues>
-            1.8375012278556824e-01 -5.8300310373306274e-01
-            -7.8263854980468750e-01 5.0758910179138184e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7249404907226562e+01</treeThreshold>
-          <internalNodes>
-            1 2 2965 1.8500000000000000e+01 0 -1 2966
-            8.5000000000000000e+00 -2 -3 2967 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -9.1379207372665405e-01 1. -6.0623198747634888e-01
-            1.4554040133953094e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6942718505859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 2968 3.5000000000000000e+00 0 -1 2969
-            2.3355000000000000e+03 -2 -3 2970 2.5850000000000000e+02</internalNodes>
-          <leafValues>
-            6.3676542043685913e-01 -4.5731505751609802e-01
-            4.5318025350570679e-01 -3.0669227242469788e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6748542785644531e+01</treeThreshold>
-          <internalNodes>
-            1 2 2971 2.1500000000000000e+01 0 -1 2972
-            1.6500000000000000e+01 -2 -3 2973 4.3450000000000000e+02</internalNodes>
-          <leafValues>
-            -1.9417463243007660e-01 4.5977392792701721e-01
-            7.4417084455490112e-01 -9.2871183156967163e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6213851928710938e+01</treeThreshold>
-          <internalNodes>
-            1 2 2974 4.6500000000000000e+01 0 -1 2975 6986. -2 -3 2976
-            1.0655000000000000e+03</internalNodes>
-          <leafValues>
-            -3.5974133014678955e-01 3.9904057979583740e-01
-            -5.3468620777130127e-01 4.4506999850273132e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6651367187500000e+01</treeThreshold>
-          <internalNodes>
-            1 2 2977 7.7450000000000000e+02 0 -1 2978 39564. -2 -3 2979
-            3.5000000000000000e+00</internalNodes>
-          <leafValues>
-            4.3751135468482971e-01 -8.3221775293350220e-01
-            9.5911510288715363e-02 -5.8185952901840210e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7053947448730469e+01</treeThreshold>
-          <internalNodes>
-            1 2 2980 1.3150000000000000e+02 0 -1 2981
-            1.8650000000000000e+02 -2 -3 2982 4.2550000000000000e+02</internalNodes>
-          <leafValues>
-            4.1247457265853882e-01 -4.4629332423210144e-01
-            4.0258339047431946e-01 -6.6914594173431396e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7472679138183594e+01</treeThreshold>
-          <internalNodes>
-            1 2 2983 6.9750000000000000e+02 0 -1 2984
-            1.0500000000000000e+01 -2 -3 2985 1.8735000000000000e+03</internalNodes>
-          <leafValues>
-            -7.6271665096282959e-01 4.1873174905776978e-01
-            -6.8841624259948730e-01 -2.3577280342578888e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7495330810546875e+01</treeThreshold>
-          <internalNodes>
-            1 2 2986 5.0000000000000000e-01 0 -1 2987
-            2.9500000000000000e+01 -2 -3 2988 1.4750000000000000e+02</internalNodes>
-          <leafValues>
-            -7.6370656490325928e-01 6.4419740438461304e-01
-            -2.4485288560390472e-01 6.6281813383102417e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.6983520507812500e+01</treeThreshold>
-          <internalNodes>
-            1 2 2989 1.2135000000000000e+03 0 -1 2990
-            8.0250000000000000e+02 -2 -3 2991 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.0576335787773132e-01 5.1596242189407349e-01
-            4.4931706786155701e-01 -5.1181161403656006e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7748497009277344e+01</treeThreshold>
-          <internalNodes>
-            1 2 2992 1.4555000000000000e+03 0 -1 2993
-            2.3355000000000000e+03 -2 -3 2994 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -8.6321972310543060e-02 7.6497226953506470e-01
-            3.1687757372856140e-01 -4.1308388113975525e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7668098449707031e+01</treeThreshold>
-          <internalNodes>
-            1 2 2995 7.3500000000000000e+01 0 -1 2996
-            7.5000000000000000e+00 -2 -3 2997 1.8415000000000000e+03</internalNodes>
-          <leafValues>
-            -8.0395199358463287e-02 4.9477747082710266e-01
-            5.0139939785003662e-01 -9.4019854068756104e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7603317260742188e+01</treeThreshold>
-          <internalNodes>
-            1 2 2998 1.0350000000000000e+02 0 -1 2999
-            5.0000000000000000e-01 -2 -3 3000 6.6500000000000000e+01</internalNodes>
-          <leafValues>
-            5.5032008886337280e-01 -6.4781084656715393e-02
-            -6.9391334056854248e-01 2.6454237103462219e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7899932861328125e+01</treeThreshold>
-          <internalNodes>
-            1 2 3001 4.1850000000000000e+02 0 -1 3002
-            2.5000000000000000e+00 -2 -3 3003 4.4350000000000000e+02</internalNodes>
-          <leafValues>
-            8.3208960294723511e-01 -9.7579640150070190e-01
-            4.5810779929161072e-01 -9.8539277911186218e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7558662414550781e+01</treeThreshold>
-          <internalNodes>
-            1 2 3004 1.4500000000000000e+01 0 -1 3005
-            4.5000000000000000e+00 -2 -3 3006 4093.</internalNodes>
-          <leafValues>
-            1.3818612694740295e-01 -5.0276112556457520e-01
-            3.9290004968643188e-01 -9.0650981664657593e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7562660217285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 3007 3.0500000000000000e+01 0 -1 3008 15. -2 -3 3009
-            6.8500000000000000e+01</internalNodes>
-          <leafValues>
-            5.8721613883972168e-01 -9.5952403545379639e-01
-            1.5953540802001953e-01 -7.3017132282257080e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7263595581054688e+01</treeThreshold>
-          <internalNodes>
-            1 2 3010 4.6550000000000000e+02 0 -1 3011
-            8.5000000000000000e+00 -2 -3 3012 3.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5965842604637146e-01 -4.5460721850395203e-01
-            -6.6170775890350342e-01 4.6810474991798401e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7385635375976562e+01</treeThreshold>
-          <internalNodes>
-            1 2 3013 3.7500000000000000e+01 0 -1 3014
-            6.7500000000000000e+01 -2 -3 3015 9.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.7775322198867798e-01 3.0159825086593628e-01
-            -7.1135115623474121e-01 1.2204105406999588e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.7448921203613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 3016 3.4500000000000000e+01 0 -1 3017
-            1.3500000000000000e+01 -2 -3 3018 2.9500000000000000e+01</internalNodes>
-          <leafValues>
-            -4.3366974592208862e-01 4.3953391909599304e-01
-            -6.8973690271377563e-01 6.3285768032073975e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.7470863342285156e+01</treeThreshold>
-          <internalNodes>
-            1 2 3019 9.5000000000000000e+00 0 -1 3020
-            3.5750000000000000e+02 -2 -3 3021 2.1500000000000000e+01</internalNodes>
-          <leafValues>
-            5.9902238845825195e-01 -4.9095529317855835e-01
-            -6.0496187210083008e-01 2.1941423416137695e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.8030609130859375e+01</treeThreshold>
-          <internalNodes>
-            1 2 3022 7.5000000000000000e+00 0 -1 3023
-            1.4250000000000000e+02 -2 -3 3024 4.8500000000000000e+01</internalNodes>
-          <leafValues>
-            -1.1742883920669556e-01 5.5974942445755005e-01
-            -6.6814047098159790e-01 1.0357101261615753e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8298561096191406e+01</treeThreshold>
-          <internalNodes>
-            1 2 3025 5.0000000000000000e-01 0 -1 3026
-            2.5000000000000000e+00 -2 -3 3027 6.5000000000000000e+00</internalNodes>
-          <leafValues>
-            -7.9518532752990723e-01 3.9527121186256409e-01
-            2.6795190572738647e-01 -4.4711253046989441e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8873558044433594e+01</treeThreshold>
-          <internalNodes>
-            1 2 3028 5.0650000000000000e+02 0 -1 3029
-            2.7150000000000000e+02 -2 -3 3030 5.1550000000000000e+02</internalNodes>
-          <leafValues>
-            4.9458679556846619e-01 -3.8078719377517700e-01
-            5.7499361038208008e-01 -2.4514666199684143e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8112663269042969e+01</treeThreshold>
-          <internalNodes>
-            1 2 3031 1.5500000000000000e+01 0 -1 3032
-            3.1500000000000000e+01 -2 -3 3033 511.</internalNodes>
-          <leafValues>
-            -2.6782530546188354e-01 3.8774058222770691e-01
-            3.4897887706756592e-01 -7.6089125871658325e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8039482116699219e+01</treeThreshold>
-          <internalNodes>
-            1 2 3034 230. 0 -1 3035 6.6500000000000000e+01 -2 -3 3036
-            4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            -7.3185198009014130e-02 5.7667195796966553e-01
-            3.2658204436302185e-01 -8.0915856361389160e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8365722656250000e+01</treeThreshold>
-          <internalNodes>
-            1 2 3037 5.0000000000000000e-01 0 -1 3038
-            2.9500000000000000e+01 -2 -3 3039 4.5000000000000000e+00</internalNodes>
-          <leafValues>
-            3.2624712586402893e-01 -5.5316114425659180e-01
-            -2.4152111727744341e-03 -6.9509941339492798e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8882514953613281e+01</treeThreshold>
-          <internalNodes>
-            1 2 3040 3.0500000000000000e+01 0 -1 3041
-            1.1150000000000000e+02 -2 -3 3042 5.0000000000000000e-01</internalNodes>
-          <leafValues>
-            5.2429902553558350e-01 -8.9993971586227417e-01
-            5.1678961515426636e-01 -8.6023628711700439e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.8496650695800781e+01</treeThreshold>
-          <internalNodes>
-            1 2 3043 2.8500000000000000e+01 0 -1 3044
-            1.1385000000000000e+03 -2 -3 3045 1.0500000000000000e+01</internalNodes>
-          <leafValues>
-            5.3370710462331772e-02 -7.7716881036758423e-01
-            4.8879763484001160e-01 -1.4188981056213379e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8710388183593750e+01</treeThreshold>
-          <internalNodes>
-            1 2 3046 3286. 0 -1 3047 1.8500000000000000e+01 -2 -3 3048
-            14770.</internalNodes>
-          <leafValues>
-            5.7567560672760010e-01 -7.7623206377029419e-01
-            -8.3764082193374634e-01 2.1373493969440460e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8465957641601562e+01</treeThreshold>
-          <internalNodes>
-            1 2 3049 4.5000000000000000e+00 0 -1 3050
-            6.8500000000000000e+01 -2 -3 3051 7.2550000000000000e+02</internalNodes>
-          <leafValues>
-            -9.8398631811141968e-01 1. 1.4620523154735565e-01
-            -4.8840534687042236e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8379966735839844e+01</treeThreshold>
-          <internalNodes>
-            1 2 3052 4.6350000000000000e+02 0 -1 3053
-            1.0005000000000000e+03 -2 -3 3054 12544.</internalNodes>
-          <leafValues>
-            1.2718398869037628e-01 -4.7662603855133057e-01
-            6.7666745185852051e-01 -9.6875000000000000e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8453712463378906e+01</treeThreshold>
-          <internalNodes>
-            1 2 3055 6.2500000000000000e+01 0 -1 3056
-            2.5000000000000000e+00 -2 -3 3057 2.7450000000000000e+02</internalNodes>
-          <leafValues>
-            7.3742903769016266e-02 -4.8088160157203674e-01
-            7.9391783475875854e-01 -9.5094847679138184e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8360649108886719e+01</treeThreshold>
-          <internalNodes>
-            1 2 3058 5.1085000000000000e+03 0 -1 3059
-            1.5000000000000000e+00 -2 -3 3060 59.</internalNodes>
-          <leafValues>
-            4.7250562906265259e-01 -9.3059159815311432e-02
-            -9.8921388387680054e-01 1.</leafValues></_>
-        <_>
-          <treeThreshold>8.8759475708007812e+01</treeThreshold>
-          <internalNodes>
-            1 2 3061 4.3500000000000000e+01 0 -1 3062
-            2.5000000000000000e+00 -2 -3 3063 9.5000000000000000e+00</internalNodes>
-          <leafValues>
-            1.8726401031017303e-01 -9.5795679092407227e-01
-            3.9882484078407288e-01 -1.5403895080089569e-01</leafValues></_>
-        <_>
-          <treeThreshold>8.8777908325195312e+01</treeThreshold>
-          <internalNodes>
-            1 2 3064 1.8150000000000000e+02 0 -1 3065
-            1.1500000000000000e+01 -2 -3 3066 4.0500000000000000e+01</internalNodes>
-          <leafValues>
-            2.5865679979324341e-01 -5.4600328207015991e-01
-            6.9991689920425415e-01 1.8433349207043648e-02</leafValues></_>
-        <_>
-          <treeThreshold>8.9012145996093750e+01</treeThreshold>
-          <internalNodes>
-            1 2 3067 2.6500000000000000e+01 0 -1 3068
-            2.0500000000000000e+01 -2 -3 3069 1.1550000000000000e+02</internalNodes>
-          <leafValues>
-            7.8764355182647705e-01 -8.8436836004257202e-01
-            2.3423436284065247e-01 -3.8715034723281860e-01</leafValues></_></trees>
-      <features>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 19 7 32</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 13 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 11 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 55 24 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 40 8 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 32 9 31</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 41 12 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 33 5 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 60 22 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 38 10 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 8 6 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 19 1 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 3 16 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 0 1 49</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 1 18 48</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 58 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 11 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 35 10 21</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 54 12 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 50 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 9 6 36</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 20 9 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 48 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 62 18 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 49 11 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 20 1 32</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 10 12 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 31 11 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 41 17 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 12 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 6 2 23</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 3 13 48</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 49 9 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 1 9 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 56 19 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 54 6 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 52 10 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 59 20 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 51 12 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 10 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 35 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 36 11 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 18 4 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 40 14 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 57 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 30 6 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 61 22 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 42 3 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 5 7 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 17 10 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 1 50</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 40 1 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 25 3 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 39 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 1 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 9 3 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 29 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 53 12 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            29 43 2 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 51 16 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 51 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 56 9 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 49 16 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 42 26 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 16 11 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 17 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 6 8 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 44 2 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 7 12 21</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 20 3 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 0 10 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 27 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 18 3 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 42 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 3 2 22</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 52 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 9 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 36 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 21 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 62 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 1 21 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 12 4 28</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 7 3 27</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            25 10 6 50</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 26 10 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 18 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 9 17 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 46 1 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 35 3 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 61 26 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 58 16 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 56 27 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 8 3 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 36 1 20</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 60 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 17 2 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 37 8 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 56 21 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 56 22 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 11 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 60 29 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 57 11 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 33 5 21</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 16 6 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 26 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            29 4 2 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 39 6 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 24 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 39 14 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            27 14 2 35</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 62 28 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 0 26 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 13 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 45 5 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 28 5 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 60 16 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 30 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 32 5 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 17 8 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 34 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 16 10 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            24 54 6 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 53 20 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 34 7 26</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 58 22 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 17 16 22</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 51 9 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 50 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 21 1 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 7 6 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 26 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 45 20 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 5 1 54</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 57 15 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 40 11 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 18 6 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            20 9 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 55 22 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 17 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 0 11 27</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 4 11 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 62 14 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 19 3 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 37 2 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 47 11 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 55 15 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 22 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 32 2 23</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 38 3 21</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 12 1 28</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 36 5 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 11 17 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 45 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 46 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 16 14 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 20 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 53 18 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 18 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 10 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 29 1 33</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 56 22 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            23 10 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 7 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 21 2 27</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 2 19 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 38 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 14 6 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 7 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 46 11 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 39 14 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 3 7 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 47 1 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 10 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 12 12 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 0 24 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 18 22 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 16 3 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 32 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 34 5 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 25 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 54 8 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 31 15 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            29 44 1 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 41 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 13 3 42</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 24 30 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 39 14 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 59 20 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 47 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 48 13 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 41 21 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 8 2 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 61 18 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 22 16 24</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            23 9 7 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 10 6 43</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 14 11 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 9 20 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 44 1 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 1 23 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 1 18 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 2 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 10 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 20 3 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 20 15 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 19 4 43</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 36 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 44 20 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 49 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 41 13 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 56 14 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 0 9 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 61 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 51 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 4 23 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 30 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 18 12 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 8 16 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 53 9 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 62 23 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 26 13 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 14 3 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 28 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 34 3 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 22 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 13 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 29 7 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 56 24 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 60 11 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 42 3 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 18 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 43 26 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 14 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 17 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 8 4 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 61 26 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 36 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            26 30 3 30</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 37 14 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 20 2 43</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 14 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 61 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 47 8 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 4 1 53</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 3 2 38</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 7 4 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 17 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 13 6 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 25 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 22 11 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 53 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 4 19 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 59 24 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 18 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 21 5 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 28 8 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 45 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 50 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 21 21 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 2 17 33</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 27 1 34</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 29 1 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 42 5 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 51 4 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 58 23 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 8 15 28</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 8 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 24 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 27 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 39 19 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 30 2 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 2 1 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 39 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 40 15 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 17 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 57 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 39 7 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            27 61 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 55 28 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 45 6 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 45 5 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 34 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 50 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 47 8 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 56 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 56 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 20 11 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            23 23 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 25 10 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 23 3 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 34 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 1 50</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 32 8 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 59 4 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 38 2 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 4 22 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 20 7 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 42 11 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 9 3 28</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 43 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 2 4 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 6 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 40 2 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 39 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 58 15 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 43 7 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 25 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 41 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 28 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 44 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 35 8 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 32 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 1 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 55 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 5 18 31</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 18 3 44</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 56 15 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 44 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 0 8 24</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 15 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 15 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 12 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 10 20 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 51 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 17 6 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 21 6 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 57 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 17 4 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 18 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 54 5 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 29 17 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 46 12 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 10 3 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            30 38 1 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 60 14 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 43 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 36 21 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 47 18 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 46 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 37 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 46 1 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 8 5 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 14 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 12 12 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 54 15 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 52 16 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 40 4 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 56 27 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 31 15 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 59 24 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 15 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 4 6 27</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            29 19 2 43</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 22 5 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 48 11 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 48 4 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 4 20 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 41 23 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            27 4 4 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 52 10 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 61 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 25 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 5 15 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 35 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 18 23 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 18 6 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            23 14 8 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 8 6 28</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            25 13 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 3 6 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 49 21 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 40 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 54 20 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 36 9 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 62 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 24 15 39</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 21 2 33</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            28 7 3 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 10 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 42 2 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 35 9 27</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 19 6 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 22 12 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 42 19 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 56 6 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 49 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 22 18 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 21 6 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 16 19 29</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 15 5 40</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 32 3 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 29 5 20</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 34 3 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 47 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 18 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 43 4 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 37 13 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 56 17 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 53 9 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 39 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 52 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 20 2 43</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 37 15 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 22 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 0 15 30</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 30 7 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 19 4 32</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 45 1 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 51 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 44 17 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 13 2 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 55 7 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 58 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 25 5 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 17 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 54 23 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 48 24 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 5 7 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 44 14 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            23 43 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 12 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 46 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 2 1 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 5 17 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 57 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 20 21 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 57 18 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 4 6 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 45 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 45 18 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 42 8 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 50 11 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 16 5 33</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 10 13 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 9 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            27 61 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 0 1 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 16 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 10 2 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 11 6 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 19 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 43 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 15 1 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 60 27 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 14 21 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 23 13 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            24 56 2 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 42 12 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 0 1 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 61 20 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 50 8 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 55 9 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            18 27 8 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 32 3 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 42 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 2 8 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 2 1 47</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 61 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 31 2 32</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 15 1 43</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 34 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 11 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 42 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 62 20 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 20 11 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 21 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            25 34 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 14 5 33</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 13 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 0 15 44</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 32 1 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 40 14 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 13 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 47 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 16 14 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 55 8 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 55 28 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 56 17 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 13 20 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 19 4 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 10 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 18 7 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 17 26 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            29 2 2 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 55 21 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            29 25 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 50 10 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 38 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 46 1 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 9 6 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 7 5 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            27 41 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 16 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 29 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 24 2 33</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 27 4 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 10 28 46</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            23 46 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 8 9 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 13 14 37</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 57 23 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 42 26 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 61 24 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 49 7 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 10 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 8 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 41 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 2 1 52</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 32 9 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 55 15 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 28 20 29</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 22 20 24</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 16 2 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 8 5 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 49 18 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 21 14 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 39 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 11 3 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 13 3 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 0 13 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 52 19 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 45 12 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 42 9 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 57 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 51 7 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 61 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 18 15 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 13 6 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 16 6 25</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 42 4 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 25 12 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 37 3 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            27 49 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            30 12 1 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 21 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 15 10 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 2 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 8 4 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 2 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 10 13 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 34 11 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 28 5 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 30 9 27</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 45 3 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 49 16 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 15 1 41</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 50 6 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 22 11 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            30 60 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 16 5 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 35 11 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 39 19 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            18 40 5 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 52 7 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 47 24 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 22 5 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            22 43 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 54 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 62 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 5 9 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 14 3 38</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 4 23 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 19 12 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            5 10 24 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 17 2 35</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 43 1 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 50 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 29 5 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 25 7 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 23 28 17</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 60 21 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 30 15 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 57 3 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 54 18 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 11 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 0 19 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 20 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 1 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 41 2 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 61 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 2 1 50</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 60 16 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 25 10 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 23 5 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 23 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 46 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 50 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 2 10 28</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 41 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 0 2 32</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 55 17 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 0 8 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 22 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 12 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            20 58 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            26 47 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 55 27 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 35 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 13 7 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 5 1 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 15 1 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 16 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 12 10 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 20 1 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 62 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 60 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            20 4 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 62 9 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 62 13 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 61 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 40 8 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 15 37</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 50 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 42 10 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 18 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 56 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 56 21 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 25 5 24</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 56 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 17 15 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 33 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 15 4 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 17 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 1 10 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 16 8 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 19 1 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 29 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 51 17 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 52 28 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 16 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 25 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            27 12 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 36 14 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 21 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 39 2 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 1 24 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 57 21 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 5 2 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 52 15 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 44 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 61 4 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 54 3 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 48 6 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 37 5 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 46 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 23 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 8 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 8 1 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 46 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 60 20 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 39 16 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 9 5 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 46 1 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 37 20 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 26 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 15 1 22</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 3 8 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 42 3 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 41 12 19</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 40 4 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 55 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 54 12 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 38 25 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 0 21 42</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 0 8 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 23 4 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 21 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 21 10 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 0 2 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 60 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            26 45 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 30 21 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 57 23 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 50 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            23 44 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 27 5 30</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 55 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 16 24 45</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 12 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 2 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            23 8 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 21 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 0 14 28</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 38 3 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 14 3 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 8 7 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 41 14 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 16 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 47 7 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 15 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 46 10 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 36 9 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 8 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 18 3 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 34 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 23 7 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 26 6 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 19 9 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 41 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 11 9 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 28 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 6 5 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 1 7 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 54 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 48 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 56 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 9 3 41</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 52 14 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 54 10 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 8 8 49</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 12 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 4 3 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 43 6 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 7 4 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 1 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 14 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 10 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 30 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            20 61 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 29 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 51 6 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 13 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 19 4 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 33 5 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 19 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 31 4 27</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 8 5 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 3 21 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 33 15 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 56 14 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 59 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 54 12 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 20 9 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 42 13 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            29 36 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            22 2 4 31</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 32 4 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 47 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 56 9 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 38 24 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 31 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 59 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            17 38 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 10 26 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 12 14 35</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 42 2 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 43 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 14 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 48 13 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 57 12 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 1 21 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 43 12 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 46 7 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            29 29 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 53 15 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 62 16 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 52 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 52 17 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 0 1 43</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 34 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 41 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 61 13 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 25 1 34</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 26 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 18 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 35 19 26</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 3 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            25 23 3 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 41 1 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 58 15 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 60 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            24 31 3 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 7 6 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 8 8 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 42 4 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 5 8 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 6 2 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 1 19 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 16 4 32</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 41 14 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 12 10 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 2 3 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            28 19 2 43</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 23 1 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 29 5 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            25 55 5 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 34 11 14</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 59 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            25 45 3 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 28 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 1 5 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 41 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 31 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 61 9 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 32 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 5 6 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 49 9 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 46 4 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 13 9 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 36 16 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 24 6 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 54 31 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 16 3 22</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 48 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 17 6 39</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 17 1 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 32 10 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 57 7 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 13 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 17 2 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 35 3 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 8 1 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 19 10 27</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 34 25 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 6 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 16 2 31</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 10 13 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 20 3 33</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 6 17 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 20 1 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 7 1 28</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 5 20 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 49 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 42 2 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 5 2 49</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 9 11 33</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 5 22 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 36 12 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 33 9 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 27 5 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 18 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 55 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 41 8 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 1 8 16</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 6 15 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 4 24 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 19 12 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 8 11 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 19 2 38</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 36 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 53 9 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 5 4 35</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 19 6 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 33 3 24</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 42 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 57 4 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 8 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 5 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 40 5 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 19 1 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            24 5 5 16</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 35 2 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 9 5 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 55 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 52 11 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 56 19 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 37 17 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 33 15 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 31 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 3 2 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 43 18 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 12 18 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 26 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 26 9 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 40 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 62 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 9 18 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 28 20 35</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 43 10 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 9 1 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 20 19 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 55 9 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 40 2 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 8 5 27</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 11 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 20 2 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 9 13 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 11 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 45 1 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 38 2 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 8 6 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 1 13 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 17 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 3 6 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 61 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 62 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 41 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 54 11 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 27 1 28</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 12 15 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 11 3 45</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 4 10 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 3 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 15 1 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 60 19 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 41 15 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 50 25 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 9 14 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 5 5 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 46 5 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 7 4 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 47 18 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 35 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 4 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 1 15 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 20 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 53 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 30 1 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 26 15 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 42 2 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 35 8 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 47 11 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 49 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 29 12 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 60 18 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 20 6 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 16 3 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 41 1 21</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 35 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 18 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 23 14 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            28 49 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 27 8 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 48 14 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 62 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 6 1 43</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 13 17 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            30 43 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 53 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 55 14 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            22 32 1 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 12 15 35</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 1 13 46</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 33 4 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 62 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 58 14 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 0 10 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 55 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 6 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 36 1 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 50 11 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 15 1 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 43 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 14 2 41</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 37 2 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 1 1 27</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 7 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 3 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 34 25 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 15 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 49 16 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 52 17 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 2 2 32</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 15 3 46</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 14 3 26</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 28 2 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 51 8 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 50 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 47 14 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            29 61 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 47 3 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 45 3 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 61 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 46 3 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 38 2 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 0 12 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 10 9 31</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            25 51 3 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 33 2 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 18 9 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 23 2 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 53 7 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 38 3 21</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 59 17 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 23 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 54 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 8 3 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 20 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 17 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 56 4 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 49 9 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 22 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 39 3 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 49 11 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 52 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            27 23 2 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 58 19 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 30 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 30 17 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 38 3 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 7 3 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 29 5 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 27 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 53 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            26 27 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 5 2 48</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 4 1 53</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 42 26 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 39 8 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 62 8 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            23 36 3 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 59 18 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 8 22 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 53 10 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 26 7 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 62 24 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 56 7 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 0 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 33 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 32 8 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 18 23 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 49 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 20 1 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 3 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 48 1 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 17 26 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 24 30 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 58 12 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 21 13 20</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 9 15 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 56 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 23 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 14 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 15 17 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 17 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 13 1 22</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 13 8 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 0 12 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 38 14 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 40 1 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 34 7 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 22 5 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 5 6 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 15 4 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 13 3 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 20 1 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 52 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 18 7 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 51 12 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 60 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 56 10 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 1 2 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 41 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 51 7 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 19 1 33</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 57 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 37 2 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 42 9 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 53 10 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 45 18 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 15 9 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            25 60 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 22 2 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            9 56 18 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            27 60 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 15 9 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 3 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 11 6 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 17 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 56 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            30 41 1 20</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 18 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 55 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 40 1 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 10 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 11 22 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 41 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 62 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 30 9 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 2 10 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 47 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 48 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 35 1 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 26 3 29</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 11 15 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 46 21 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            25 10 2 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 14 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            25 46 4 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 12 1 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 39 1 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 11 9 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 41 1 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 58 21 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 14 9 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 31 27 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 1 21 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 24 5 27</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 60 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 34 20 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 33 2 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 40 12 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 48 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 7 3 51</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 34 5 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 9 5 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 20 3 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 6 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 22 14 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 29 3 19</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 44 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 39 5 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 51 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 50 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            26 53 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 47 8 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 47 23 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 59 14 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            20 57 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            23 8 8 22</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 50 8 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 19 21 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 23 3 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 22 20 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 60 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 51 3 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 57 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 0 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 59 12 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 50 6 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 52 25 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 11 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            24 56 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 18 2 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 14 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 0 17 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 12 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 8 14 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 41 17 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 38 3 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 32 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 27 9 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 53 14 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 24 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 43 10 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 31 10 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 57 19 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 32 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 34 13 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 52 9 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 1 23 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 49 23 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 19 12 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 39 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 38 1 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 1 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 28 8 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 5 2 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 55 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 18 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 41 15 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 2 2 56</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 4 9 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 15 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 51 13 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 25 1 18</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            21 18 7 32</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 8 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 46 2 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 10 11 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            5 14 4 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 16 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 1 13 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 47 1 16</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 48 29 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 4 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 61 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 15 8 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 17 5 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 32 4 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 29 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 15 5 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 36 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 56 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 45 8 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 59 3 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            21 55 5 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 21 1 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 24 4 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 2 10 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 8 20 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 33 27 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 17 11 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 59 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 46 10 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 50 11 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 15 3 30</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 30 22 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 2 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            28 62 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 28 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 9 3 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 44 16 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 36 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 13 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 19 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 56 10 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 16 14 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 38 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 0 7 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 49 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 25 10 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 29 7 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 28 1 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 6 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 5 7 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 2 3 60</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 14 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 47 6 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 18 15 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 55 3 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 54 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 24 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 10 1 42</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 31 15 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 5 7 17</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 52 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 59 10 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 37 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 14 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 57 24 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 50 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 58 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 43 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            25 42 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 40 12 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 53 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 42 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 12 12 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 42 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 17 6 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 6 14 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 17 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 56 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 20 14 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 16 1 42</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 52 8 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 50 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 20 7 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 22 15 36</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 6 9 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 2 3 38</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 56 20 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 55 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 32 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 24 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 7 2 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 19 25 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 14 5 44</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            28 32 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 1 1 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 45 6 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 2 10 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 43 18 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 19 4 42</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 42 5 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 25 3 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 13 6 38</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            22 52 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 61 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 23 3 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 35 8 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 40 12 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 29 19 16</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 27 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 3 1 55</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 43 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 8 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 53 20 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 4 1 31</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 17 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 56 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 34 13 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 15 5 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 13 1 21</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 18 3 32</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 17 10 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 10 14 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 14 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 62 15 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 28 18 28</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 11 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 32 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 6 8 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 49 10 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 40 7 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 18 2 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 15 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 8 13 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 60 12 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 18 9 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 1 18 48</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 13 18 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 52 22 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 47 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 35 6 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 12 13 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 56 9 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 38 8 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 22 2 17</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 33 8 24</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 2 30 40</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 37 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 0 10 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 29 5 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 15 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 14 12 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 10 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 1 7 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 62 28 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 42 3 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 44 14 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            20 29 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 38 13 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 50 7 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 37 4 25</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 7 1 40</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 55 9 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 47 14 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 25 4 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 39 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 1 50</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 16 23 30</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 18 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 58 12 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            30 54 1 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 26 3 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 36 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 39 26 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 50 5 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 49 10 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 38 9 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 41 14 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 55 10 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 1 31</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 0 2 62</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 53 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 18 18 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 60 15 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 38 19 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 24 3 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 25 1 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 35 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 9 11 16</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            24 23 4 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            28 12 1 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 2 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 23 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 14 3 14</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 31 22 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 48 11 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 20 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 52 3 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            24 36 4 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 7 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 16 4 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 56 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 40 29 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 38 11 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 34 2 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 20 7 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 12 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 62 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 62 13 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 39 1 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 3 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 2 8 52</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 37 1 22</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 31 18 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            20 11 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 12 14 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 3 14 46</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 33 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 6 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 1 1 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 51 8 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 58 17 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 28 14 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 20 3 15</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 21 1 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 17 6 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 46 8 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 30 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 33 5 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 53 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 29 5 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 53 21 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 50 16 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 49 2 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 44 5 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            28 41 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 59 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 27 2 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            20 39 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 15 1 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 2 1 52</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 7 8 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 54 4 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 39 5 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 23 7 30</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 26 9 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 5 6 41</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 43 11 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 12 7 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 0 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 59 28 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 49 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 10 2 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 7 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            27 15 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 52 1 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 57 14 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 51 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 24 16 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 58 13 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 9 17 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 19 2 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 18 13 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 9 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 8 26 39</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 24 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 31 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            23 32 8 31</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 16 3 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 47 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 48 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 29 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 56 21 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 46 8 15</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 36 10 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 49 11 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 56 2 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 59 3 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 16 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            2 61 17 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 55 7 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 29 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 58 9 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 8 4 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 28 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 27 8 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 48 5 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 34 10 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 57 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 19 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 41 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 17 3 26</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 55 12 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 62 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 7 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 55 10 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 13 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 34 8 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 29 4 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 31 2 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 38 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 10 13 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 27 3 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 10 12 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 43 1 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 50 12 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 10 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 2 10 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 12 5 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 15 8 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 31 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 7 2 47</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            26 44 2 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 54 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 18 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 58 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 41 15 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 58 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 0 8 37</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 26 3 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 36 2 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 59 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 7 3 41</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 20 17 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 49 3 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 57 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 54 11 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 38 1 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            22 53 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 61 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 53 19 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            4 42 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 9 15 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            23 61 7 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 57 21 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 50 14 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            23 46 1 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 11 12 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 41 3 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            22 23 6 28</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 27 4 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 42 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 29 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 60 4 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 53 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 16 6 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 35 2 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 36 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 24 3 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 47 13 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 51 16 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 26 2 21</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 51 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            22 45 1 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 10 20 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 47 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            25 16 6 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            14 21 4 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 56 6 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            24 36 2 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 48 19 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 59 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 59 28 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 8 11 32</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 25 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 51 5 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 59 5 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 51 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 7 2 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 30 14 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 28 12 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 27 1 28</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            17 19 6 35</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 30 20 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 15 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 18 7 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 36 16 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 54 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 9 7 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 3 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 38 1 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 36 21 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 62 3 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 51 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 54 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 15 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 47 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 37 14 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 5 4 54</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 29 6 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 32 10 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 58 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 38 20 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 14 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 8 8 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 14 3 38</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 40 2 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 24 2 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            7 22 1 29</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 59 12 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 27 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 8 13 17</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            30 42 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 35 8 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 41 8 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 57 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 49 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 14 5 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 10 3 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 39 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 11 17 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 33 1 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 57 13 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 21 10 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 19 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 0 13 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 36 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 37 15 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 38 6 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 39 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 62 15 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            29 28 2 25</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 46 12 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 59 14 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 24 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            27 12 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 55 7 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 33 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 44 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 39 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 25 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 0 17 33</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 52 4 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 62 2 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 17 6 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 18 2 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 12 9 23</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 52 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 59 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 54 5 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 62 18 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 62 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 19 8 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            24 29 4 34</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 30 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 7 9 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 17 4 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 44 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 6 3 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 44 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 57 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 50 7 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            27 14 2 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 53 26 5</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 62 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 61 25 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 18 5 38</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 39 3 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 42 8 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 14 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 9 9 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 18 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 4 11 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 39 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            26 19 2 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            25 18 4 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 44 19 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 18 5 28</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 52 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 45 2 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 58 16 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 30 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 42 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 51 1 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 52 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 0 7 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 39 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 5 7 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 33 2 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            4 3 16 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 1 17 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 55 2 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 14 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 9 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 0 7 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 21 21 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 15 10 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 56 19 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 51 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 55 11 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 57 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 1 7 53</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 48 7 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 22 14 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 31 3 31</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 54 9 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 32 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 9 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 2 2 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 37 22 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 57 19 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 44 16 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 52 9 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 21 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 16 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 21 1 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 9 11 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 25 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 57 7 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 8 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 49 3 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 40 1 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            28 36 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 8 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            29 38 1 12</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 13 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 37 2 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 52 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            1 21 1 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 0 12 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 20 6 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 11 1 41</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 54 28 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 62 6 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 16 8 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 62 11 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 57 8 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 53 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 59 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 54 10 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 49 8 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 53 3 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 34 2 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 13 9 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 14 2 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 60 1 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 31 11 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 35 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 20 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 6 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 52 2 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 16 7 39</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 62 9 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 17 1 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 8 6 48</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            28 36 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 41 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 30 19 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 40 6 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 43 11 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 14 24 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 16 11 24</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 26 12 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 24 4 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 21 3 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 21 9 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 2 1 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 17 1 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 52 18 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 57 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 8 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 44 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 10 13 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            25 44 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            23 27 8 27</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 53 25 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 48 4 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 23 2 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 1 3 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 16 4 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 18 14 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 16 5 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 1 21 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 57 19 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 55 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 4 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 19 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 8 4 49</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 5 8 48</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 30 10 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 40 4 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            29 34 1 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 26 10 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 8 7 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 33 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 55 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 34 19 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 52 26 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 6 1 47</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 44 5 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 37 3 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 21 2 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 21 3 42</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            22 62 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 12 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 59 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 35 11 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            23 40 6 21</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 35 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 34 10 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 18 2 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 28 8 19</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 17 2 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 15 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 25 3 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            8 24 7 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 11 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            23 14 8 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 24 11 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            1 62 30 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 40 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 26 11 36</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 56 20 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 50 7 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 46 18 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 14 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 32 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 41 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 57 20 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 56 19 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 26 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 46 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            3 25 18 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            29 52 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 26 4 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 29 12 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 3 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 23 3 21</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 39 4 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 41 25 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            28 49 3 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 38 10 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 12 10 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 32 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 42 13 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 18 16 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 14 3 42</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 54 26 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            17 17 8 38</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 50 14 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 24 2 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 56 20 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 50 16 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 0 21 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 15 22 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 17 6 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 50 6 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 46 3 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 7 3 23</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 11 14 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 54 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 43 7 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 54 3 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 20 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 15 13 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 60 22 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 15 5 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 54 10 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 7 4 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 39 6 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 54 25 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 0 10 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 1 4 31</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 19 10 17</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 26 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 19 3 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 53 6 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            28 40 2 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 6 1 35</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 13 20 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 2 1 37</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 12 16 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 22 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 58 10 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 50 6 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 59 21 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 43 3 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 7 4 39</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 48 1 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 44 17 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            26 21 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 40 5 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 34 25 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 45 3 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 41 1 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 9 13 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 46 2 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 28 6 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 11 21 46</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 16 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 1 3 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 25 1 37</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 5 8 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 4 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 46 8 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 22 13 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 22 2 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 51 13 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 61 7 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 19 11 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 12 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 0 7 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 12 2 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 61 16 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 32 6 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 27 6 29</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            21 24 7 27</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            15 40 12 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 49 1 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 57 14 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 35 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 18 4 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 11 18 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 50 10 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 20 7 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 40 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 41 2 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 10 7 47</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 61 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 53 10 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 62 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 19 1 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 10 5 19</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            30 36 1 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 38 2 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            12 7 5 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 36 4 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 61 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 40 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 61 14 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 24 6 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 11 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 8 3 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 1 12 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 0 4 42</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 7 13 45</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 45 1 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 49 19 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 33 5 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 42 4 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 52 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 19 18 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 7 6 32</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 9 9 26</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 5 9 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 2 11 41</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 59 24 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 36 15 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 46 2 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 11 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 13 2 24</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 55 21 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 60 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            21 61 4 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 57 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 43 14 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 33 4 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 7 12 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 20 23 35</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 17 6 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 1 1 36</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 17 6 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 1 7 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 54 6 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 4 14 43</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 51 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 58 20 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 51 13 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 62 14 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 46 14 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 55 17 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 45 4 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 45 1 13</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 52 17 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 34 7 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 33 9 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 31 7 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 21 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 8 9 39</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 16 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 54 2 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 30 1 28</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 62 25 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            25 4 1 51</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 10 10 38</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 61 15 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 50 9 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 37 2 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 32 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 0 10 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 33 1 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 4 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 48 2 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 53 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 42 1 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 54 16 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 14 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 36 1 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 33 27 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            29 28 2 25</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 18 7 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 12 21 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 55 9 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 53 7 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 21 1 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 44 27 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            19 8 5 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 54 1 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 35 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            25 59 5 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 59 21 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 46 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 24 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 43 11 16</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            26 41 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 52 16 11</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 20 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 49 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 20 5 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 56 31 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 24 18 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 21 14 32</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 0 7 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 16 4 29</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 14 8 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 17 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 20 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 19 21 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 62 18 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 30 1 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 7 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 46 10 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 56 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 53 23 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 10 2 49</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 46 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 38 2 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 18 2 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 52 16 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 18 3 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 59 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 42 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 37 2 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 14 5 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 21 1 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 3 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            22 58 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 33 3 24</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 38 1 14</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 62 15 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 29 8 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 4 3 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 32 4 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 7 2 11</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 17 2 46</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 61 29 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 60 14 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 20 13 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 13 4 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 49 2 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            5 0 1 46</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 1 7 17</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 42 3 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 36 1 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 19 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 8 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 47 5 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 55 22 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 41 1 13</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            0 44 3 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 35 8 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            1 10 26 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 53 19 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 44 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 28 7 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 41 12 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 6 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 1 2 12</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 8 8 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 55 12 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 7 26 38</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 33 4 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 51 21 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 9 10 50</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            1 46 22 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 28 2 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            9 28 3 29</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 52 1 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 13 9 25</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 56 21 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 48 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 5 9 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 6 17 27</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            23 4 7 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 40 6 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 40 2 22</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 29 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 11 6 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 14 13 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 0 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 1 10 36</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 12 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 53 22 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 55 15 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 35 8 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 16 6 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            25 42 5 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 6 16 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 34 26 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 37 17 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 23 3 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 17 4 13</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 53 24 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 51 9 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 47 1 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 56 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 51 12 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 42 6 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 12 9 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 17 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 29 11 8</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 5 8 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 58 7 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            26 19 1 36</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 3 12 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 20 3 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 10 12 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            0 27 11 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 44 7 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 39 1 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 58 13 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 17 3 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 38 17 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 1 19 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 27 6 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 6 20 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 24 2 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 21 21 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 7 8 47</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 62 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 61 21 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 20 13 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 34 8 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            24 39 3 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 4 1 53</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 8 4 31</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 29 4 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 48 1 11</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            7 36 8 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            30 19 1 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 19 2 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 16 5 16</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 8 18 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 42 7 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 40 12 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 41 7 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 59 24 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            25 31 6 23</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            2 1 14 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 17 5 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 50 11 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 21 4 37</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 39 8 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 8 22 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 32 3 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 42 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 25 1 19</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 16 6 38</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 51 1 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            21 45 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 0 2 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            8 34 11 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 45 25 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 14 4 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            19 20 3 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 11 17 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 46 5 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 18 7 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 49 16 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 12 12 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 54 3 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 47 18 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 59 15 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 29 4 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 27 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            20 34 1 11</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 30 3 31</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            22 23 6 28</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 24 23 25</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 20 15 15</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 13 2 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 16 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 3 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 62 3 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 46 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 49 9 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 7 6 23</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 0 2 29</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 1 30 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 41 1 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            27 36 3 27</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 45 12 18</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 49 19 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 28 5 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            27 24 3 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 62 7 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 42 1 13</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 17 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 9 1 17</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            6 35 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 62 7 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 53 11 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            10 61 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 33 5 21</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            20 23 5 22</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 2 4 50</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 25 16 21</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 11 8 9</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 1 3 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 43 3 18</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 44 12 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 5 8</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 41 12 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 17 2 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            0 48 3 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 9 15 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 53 19 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 39 2 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 42 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            7 38 11 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 21 6 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            12 24 9 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            3 32 3 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            21 58 9 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 12 19 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 3 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 58 3 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 43 4 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 42 30 2</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            9 0 8 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 39 8 11</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 2 1 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 37 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 54 8 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            26 38 4 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 45 1 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 17 4 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            9 7 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 42 7 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 18 7 15</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 38 10 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 14 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 45 2 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 2 12 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 16 8 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 8 7 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 60 15 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 50 13 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 33 29 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            12 33 4 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 53 10 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 3 3 50</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 59 20 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 12 9 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 34 1 14</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            26 34 3 18</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 11 7 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            20 39 2 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 18 16 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 11 4 7</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 61 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 17 2 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            6 53 19 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 13 8 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 15 9 7</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 26 4 9</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 39 2 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 36 13 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 40 8 16</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 3 11 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 53 22 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            9 25 2 11</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            2 51 17 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 53 4 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 30 4 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 55 1 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 58 17 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 44 13 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 19 7 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 18 1 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 1 4 18</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            22 53 6 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 37 20 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 62 12 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 61 1 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 46 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 42 6 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 43 2 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 19 1 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 19 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            5 22 10 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 36 1 19</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 35 14 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            3 57 27 6</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 52 24 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 20 3 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 6 4 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 56 12 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            15 5 1 25</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 1 1 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 15 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 10 19 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            11 60 2 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            24 28 3 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 24 6 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 5 6 28</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            14 36 1 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 5 4 40</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 50 16 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 0 11 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 45 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 49 10 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            4 32 2 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 25 2 38</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 13 19 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 37 25 24</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            9 11 20 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 34 14 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 56 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 20 17 14</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            8 55 18 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 61 7 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 48 13 10</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            17 18 9 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 35 9 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 19 8 23</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            28 15 3 36</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 6 2 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 54 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 50 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            17 32 2 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 56 17 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 29 13 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 14 13 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 13 1 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 28 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 12 4 28</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 45 26 18</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 0 11 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 8 7 54</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 53 12 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            15 57 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 37 1 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 0 1 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 13 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 35 3 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            4 15 10 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 56 7 5</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            20 49 9 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 48 15 8</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 45 2 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 10 15 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 5 1 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 23 28 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            16 51 10 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 40 1 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 36 4 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            15 46 13 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 54 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 55 18 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 52 10 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 30 5 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            17 16 1 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            22 6 5 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 13 12 27</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 11 12 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 62 16 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 47 11 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            25 12 5 15</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 26 4 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 21 3 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 3 4 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 37 3 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 55 14 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 37 3 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 56 21 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            4 20 20 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 27 6 28</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 58 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            28 45 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 11 1 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 39 4 10</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 10 11 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 12 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 38 18 24</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 54 17 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 56 14 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            25 18 2 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            25 0 3 6</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 18 3 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 8 25 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 14 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 32 2 26</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 41 13 15</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            5 24 11 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 39 5 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            1 36 13 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 8 4 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 5 9 17</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 37 22 26</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 49 2 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 37 15 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 38 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            13 24 2 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 4 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 38 12 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            8 3 3 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 56 12 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            14 23 3 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 37 5 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 53 7 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            7 39 11 12</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 11 9 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 2 2 10</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 21 2 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            29 31 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            16 7 4 26</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 48 7 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 19 1 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 24 12 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            20 5 8 39</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 14 17 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 44 3 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 52 5 6</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 24 2 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 18 3 9</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 61 8 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            11 15 5 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            2 18 22 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 60 7 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 11 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 55 18 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 58 2 2</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 39 1 3</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 26 5 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 15 3 20</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 6 2 52</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 36 10 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            22 31 1 27</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 7 5 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 5 6 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 12 3 20</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            10 38 14 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 41 10 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 41 11 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 54 6 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 3 1 51</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 28 5 5</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 28 18 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            0 6 21 52</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 33 4 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 33 2 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 47 13 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 6 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 52 13 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            19 41 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 49 20 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 57 18 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 51 20 7</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            22 29 6 7</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 59 15 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 59 1 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            27 6 4 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            14 18 2 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            18 2 1 37</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 4 8 13</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            25 62 5 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            3 62 28 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            5 48 17 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 39 6 14</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            5 62 10 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 52 26 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            19 20 3 7</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 14 2 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            6 24 4 22</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 45 6 6</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 55 2 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 4 14 43</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 8 10 12</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            21 1 1 36</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            7 24 2 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 35 8 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            21 45 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            12 33 7 23</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            22 40 4 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 20 3 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 12 20 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 20 11 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 27 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            11 51 7 12</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            13 12 10 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 4 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 10 11 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            1 40 28 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            5 62 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 53 3 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            7 50 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 17 4 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            19 54 8 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 22 10 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            10 38 2 9</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 25 5 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 24 11 19</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            30 43 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 42 1 11</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            27 37 4 23</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 15 1 42</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 22 1 10</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 6 5 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            1 48 3 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            16 50 12 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            3 45 5 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            29 36 1 20</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 26 21 19</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            30 22 1 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 42 8 8</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            19 5 4 46</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 36 4 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 52 2 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 29 11 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 35 1 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 33 1 8</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 38 7 3</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            23 45 4 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 37 2 17</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 11 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            18 0 8 36</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            26 8 5 20</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 59 13 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            24 7 6 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 8 10 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            0 42 2 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 12 18 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            9 56 8 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            18 17 2 9</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 9 4 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            17 13 6 14</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            10 35 1 23</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 10 3 21</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            6 19 5 34</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 45 1 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 19 2 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            24 14 2 30</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 61 16 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            23 27 4 10</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            4 62 7 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            3 49 10 6</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 32 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 4 1 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            27 18 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 1 11 46</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 8 13 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 9 16 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            9 22 16 24</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            16 32 4 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 25 8 21</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            3 55 22 6</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 1 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            13 9 8 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            19 28 1 18</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 55 2 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 13 12 5</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            8 60 7 3</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 38 4 12</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            12 34 6 15</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            8 40 4 22</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            22 45 1 13</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            3 33 10 19</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            29 45 2 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            17 51 7 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 53 2 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 59 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 13 2 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            2 1 27 2</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 42 14 13</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            10 4 7 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            11 25 11 10</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            11 19 9 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 1 13 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 1 4</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            14 7 5 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 23 2 5</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 23 1 10</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 62 20 1</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 16 16 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            29 27 1 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            3 60 28 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            15 44 2 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            16 62 1 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            17 21 1 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            18 33 9 11</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            17 35 3 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 51 8 5</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            28 40 3 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            21 42 1 18</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            16 18 2 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            20 15 1 8</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            14 8 5 1</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 0 12 17</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 18 5 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 9 6 12</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            26 32 1 7</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            0 14 1 8</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            4 1 14 16</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 62 10 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            2 18 12 10</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            29 22 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            13 15 13 15</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            12 38 5 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            8 35 6 11</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            6 36 14 2</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            13 36 3 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            7 19 22 6</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            15 41 4 15</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            14 12 3 4</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 24 8 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            6 55 6 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 17 5 3</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            12 12 8 3</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            24 44 3 7</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 39 16 2</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 54 1 3</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 17 1 14</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            13 56 1 1</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 19 11 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            30 3 1 43</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 57 12 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            29 32 2 26</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            16 38 2 4</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            21 25 1 16</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            4 46 2 7</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            26 13 5 4</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            0 48 17 9</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 32 5 20</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            10 57 10 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            24 49 2 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 25 4 8</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            11 11 9 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 18 1 33</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            10 0 5 29</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 13 7 9</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            2 59 13 4</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            15 53 7 4</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            11 49 16 2</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            4 56 15 3</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            19 21 6 38</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            6 53 7 4</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 19 1 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 22 11 17</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            14 7 3 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            13 20 1 4</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            5 19 4 14</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            9 35 3 8</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            16 12 1 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            29 62 2 1</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            18 51 1 5</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            13 58 13 1</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            6 50 16 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 27 5 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            0 43 11 13</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            7 29 3 16</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            11 42 7 6</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            18 39 1 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            21 55 10 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            27 37 4 2</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 37 15 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            1 28 26 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            12 38 1 6</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 9 9 4</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            18 8 7 2</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            18 6 13 1</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            8 59 23 2</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            1 57 29 5</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            6 20 23 7</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            12 53 4 10</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            13 14 2 12</rect></_>
-        <_>
-          <channel>8</channel>
-          <rect>
-            10 62 7 1</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            30 33 1 3</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            15 12 2 5</rect></_>
-        <_>
-          <channel>9</channel>
-          <rect>
-            17 14 2 38</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            20 17 1 25</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            11 0 5 1</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            19 37 5 23</rect></_>
-        <_>
-          <channel>7</channel>
-          <rect>
-            2 5 1 27</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            22 48 1 9</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            18 25 2 13</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            8 11 6 20</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            0 29 27 1</rect></_>
-        <_>
-          <channel>3</channel>
-          <rect>
-            15 21 2 9</rect></_>
-        <_>
-          <channel>2</channel>
-          <rect>
-            16 37 13 18</rect></_>
-        <_>
-          <channel>0</channel>
-          <rect>
-            2 38 3 21</rect></_>
-        <_>
-          <channel>5</channel>
-          <rect>
-            14 31 3 21</rect></_>
-        <_>
-          <channel>4</channel>
-          <rect>
-            10 8 7 16</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            7 29 21 12</rect></_>
-        <_>
-          <channel>1</channel>
-          <rect>
-            25 47 4 14</rect></_></features></_>
-            </octaves></first-soft-sascade>
-</opencv_storage>
diff --git a/modules/imgproc/src/smooth.cpp b/modules/imgproc/src/smooth.cpp
index 7f2e31bdc4..499721edaa 100644
--- a/modules/imgproc/src/smooth.cpp
+++ b/modules/imgproc/src/smooth.cpp
@@ -2172,18 +2172,21 @@ void cv::medianBlur( InputArray _src0, OutputArray _dst, int ksize )
     } \
     while ((void)0, 0)
 
-    Ipp32s bufSize;
-    IppiSize dstRoiSize = ippiSize(dst.cols, dst.rows), maskSize = ippiSize(ksize, ksize);
-
-    int type = src0.type();
-    if (type == CV_8UC1)
-        IPP_FILTER_MEDIAN_BORDER(Ipp8u, ipp8u, 8u_C1R);
-    else if (type == CV_16UC1)
-        IPP_FILTER_MEDIAN_BORDER(Ipp16u, ipp16u, 16u_C1R);
-    else if (type == CV_16SC1)
-        IPP_FILTER_MEDIAN_BORDER(Ipp16s, ipp16s, 16s_C1R);
-    else if (type == CV_32FC1)
-        IPP_FILTER_MEDIAN_BORDER(Ipp32f, ipp32f, 32f_C1R);
+    if( ksize <= 5 )
+    {
+        Ipp32s bufSize;
+        IppiSize dstRoiSize = ippiSize(dst.cols, dst.rows), maskSize = ippiSize(ksize, ksize);
+
+        int type = src0.type();
+        if (type == CV_8UC1)
+            IPP_FILTER_MEDIAN_BORDER(Ipp8u, ipp8u, 8u_C1R);
+        else if (type == CV_16UC1)
+            IPP_FILTER_MEDIAN_BORDER(Ipp16u, ipp16u, 16u_C1R);
+        else if (type == CV_16SC1)
+            IPP_FILTER_MEDIAN_BORDER(Ipp16s, ipp16s, 16s_C1R);
+        else if (type == CV_32FC1)
+            IPP_FILTER_MEDIAN_BORDER(Ipp32f, ipp32f, 32f_C1R);
+    }
 #undef IPP_FILTER_MEDIAN_BORDER
 #endif
 
diff --git a/modules/matlab/CMakeLists.txt b/modules/matlab/CMakeLists.txt
deleted file mode 100644
index 45e3197c43..0000000000
--- a/modules/matlab/CMakeLists.txt
+++ /dev/null
@@ -1,312 +0,0 @@
-# ----------------------------------------------------------------------------
-#  CMake file for Matlab/Octave support
-#
-#  Matlab code generation and compilation is broken down into two distinct
-#  stages: configure time and build time. The idea is that we want to give
-#  the user reasonable guarantees that once they type 'make', wrapper
-#  generation is unlikely to fail. Therefore we run a series of tests at
-#  configure time to check the working status of the core components.
-#
-#  Configure Time
-#  During configure time, the script attempts to ascertain whether the
-#  generator and mex compiler are working for a given architecture.
-#  Currently this involves:
-#   1) Generating a simple CV_EXPORTS_W symbol and checking whether a file
-#      of the symbol name is generated
-#   2) Compiling a simple mex gateway to check that Bridge.hpp and mex.h
-#      can be found, and that a file with the mexext is produced
-#
-#  Build Time
-#  If the configure time tests pass, then we assume Matlab wrapper generation
-#  will not fail during build time. We simply glob all of the symbols in
-#  the OpenCV module headers, generate intermediate .cpp files, then compile
-#  them with mex.
-# ----------------------------------------------------------------------------
-
-# PREPEND
-# Given a list of strings IN and a TOKEN, prepend the token to each string
-# and append to OUT. This is used for passing command line "-I", "-L" and "-l"
-# arguments to mex. e.g.
-# prepend("-I" OUT /path/to/include/dir) --> -I/path/to/include/dir
-macro(PREPEND TOKEN OUT IN)
-    foreach(VAR ${IN} ${ARGN})
-        list(APPEND ${OUT} "${TOKEN}${VAR}")
-    endforeach()
-endmacro()
-
-
-# WARN_MIXED_PRECISION
-# Formats a warning message if the compiler and Matlab bitness is different
-macro(WARN_MIXED_PRECISION COMPILER_BITNESS MATLAB_BITNESS)
-    set(MSG "Your compiler is ${COMPILER_BITNESS}-bit")
-    set(MSG "${MSG} but your version of Matlab is ${MATLAB_BITNESS}-bit.")
-    set(MSG "${MSG} To build Matlab bindings, please switch to a ${MATLAB_BITNESS}-bit compiler.")
-    message(WARNING ${MSG})
-endmacro()
-
-# ----------------------------------------------------------------------------
-#  Architecture checks
-# ----------------------------------------------------------------------------
-# make sure we're on a supported architecture with Matlab and python installed
-if (IOS OR ANDROID OR NOT MATLAB_FOUND)
-    ocv_module_disable(matlab)
-    return()
-elseif (NOT PYTHON_DEFAULT_AVAILABLE)
-    message(WARNING "A required dependency of the matlab module (PythonLibs) was not found. Disabling Matlab bindings...")
-    ocv_module_disable(matlab)
-    return()
-endif()
-
-
-# If the user built OpenCV as X-bit, but they have a Y-bit version of Matlab,
-# attempting to link to OpenCV during binding generation will fail, since
-# mixed precision pointers are not allowed. Disable the bindings.
-math(EXPR ARCH "${CMAKE_SIZEOF_VOID_P} * 8")
-if (${ARCH} EQUAL 32 AND ${MATLAB_ARCH} MATCHES "64")
-    warn_mixed_precision("32" "64")
-    ocv_module_disable(matlab)
-    return()
-elseif (${ARCH} EQUAL 64 AND NOT ${MATLAB_ARCH} MATCHES "64")
-    warn_mixed_precision("64" "32")
-    ocv_module_disable(matlab)
-    return()
-endif()
-
-# If it's MSVC, warn the user that bindings will only be built in Release mode.
-# Debug mode seems to cause issues...
-if (MSVC)
-    message(STATUS "Warning: Matlab bindings will only be built in Release configurations")
-endif()
-
-
-# ----------------------------------------------------------------------------
-#  Configure time components
-# ----------------------------------------------------------------------------
-set(the_description "The Matlab/Octave bindings")
-ocv_add_module(matlab   BINDINGS
-                        OPTIONAL opencv_core
-                                 opencv_imgproc opencv_ml
-                                 opencv_imgcodecs opencv_videoio opencv_highgui
-                                 opencv_objdetect opencv_flann opencv_features2d
-                                 opencv_photo opencv_video opencv_videostab
-                                 opencv_calib opencv_calib3d
-                                 opencv_stitching opencv_superres
-                                 opencv_nonfree
-)
-
-# get the commit information
-execute_process(COMMAND git log -1 --pretty=%H OUTPUT_VARIABLE GIT_COMMIT ERROR_QUIET)
-string(REGEX REPLACE "(\r?\n)+$" "" GIT_COMMIT "${GIT_COMMIT}")
-
-# set the path to the C++ header and doc parser, and template engine
-set(JINJA2_PATH ${CMAKE_SOURCE_DIR}/3rdparty)
-set(HDR_PARSER_PATH ${CMAKE_SOURCE_DIR}/modules/python/src2)
-set(RST_PARSER_PATH ${CMAKE_SOURCE_DIR}/modules/java/generator)
-
-# set mex compiler options
-prepend("-I" MEX_INCLUDE_DIRS ${CMAKE_CURRENT_SOURCE_DIR}/include)
-if (MSVC)
-    prepend("-L" MEX_LIB_DIR  ${LIBRARY_OUTPUT_PATH}/${CMAKE_CFG_INTDIR})
-else()
-    prepend("-L" MEX_LIB_DIR  ${LIBRARY_OUTPUT_PATH})
-endif()
-set(MEX_OPTS "-largeArrayDims")
-
-if (BUILD_TESTS)
-    add_subdirectory(test)
-endif()
-include_directories(${CMAKE_CURRENT_SOURCE_DIR}/include)
-
-
-# intersection of available modules and optional dependencies
-# 1. populate the command-line include directories (-I/path/to/module/header, ...)
-# 2. populate the command-line link libraries (-lopencv_core, ...) for Debug and Release
-set(MATLAB_DEPS ${OPENCV_MODULE_${the_module}_REQ_DEPS} ${OPENCV_MODULE_${the_module}_OPT_DEPS})
-foreach(opencv_module ${MATLAB_DEPS})
-    if (HAVE_${opencv_module})
-        string(REPLACE "opencv_" "" module ${opencv_module})
-        list(APPEND opencv_modules ${module})
-        list(APPEND ${the_module}_ACTUAL_DEPS ${opencv_module})
-        prepend("-I" MEX_INCLUDE_DIRS "${OPENCV_MODULE_${opencv_module}_LOCATION}/include")
-        prepend("-l" MEX_LIBS ${opencv_module}${OPENCV_DLLVERSION})
-        prepend("-l" MEX_DEBUG_LIBS ${opencv_module}${OPENCV_DLLVERSION}${OPENCV_DEBUG_POSTFIX})
-    endif()
-endforeach()
-
-# add extra headers by hand
-list(APPEND opencv_extra_hdrs "core=${OPENCV_MODULE_opencv_core_LOCATION}/include/opencv2/core/base.hpp")
-list(APPEND opencv_extra_hdrs "video=${OPENCV_MODULE_opencv_video_LOCATION}/include/opencv2/video/tracking.hpp")
-
-# pass the OPENCV_CXX_EXTRA_FLAGS through to the mex compiler
-# remove the visibility modifiers, so the mex gateway is visible
-# TODO: get mex working without warnings
-string(REGEX REPLACE "[^\ ]*visibility[^\ ]*" "" MEX_CXXFLAGS "${OPENCV_EXTRA_FLAGS} ${OPENCV_EXTRA_CXX_FLAGS}")
-
-# Configure checks
-# Check to see whether the generator and the mex compiler are working.
-# The checks currently test:
-#   - whether the python generator can be found
-#   - whether the python generator correctly outputs a file for a definition
-#   - whether the mex compiler can find the required headers
-#   - whether the mex compiler can compile a trivial definition
-if (NOT MEX_WORKS)
-    # attempt to generate a gateway for a function
-    message(STATUS "Trying to generate Matlab code")
-    execute_process(
-        COMMAND ${PYTHON_DEFAULT_EXECUTABLE}
-                ${CMAKE_CURRENT_SOURCE_DIR}/generator/gen_matlab.py
-                --jinja2    ${JINJA2_PATH}
-                --hdrparser ${HDR_PARSER_PATH}
-                --rstparser ${RST_PARSER_PATH}
-                --extra     "test=${CMAKE_CURRENT_SOURCE_DIR}/test/test_generator.hpp"
-                --outdir    ${CMAKE_BINARY_DIR}/junk
-        ERROR_VARIABLE GEN_ERROR
-        OUTPUT_QUIET
-    )
-
-    if (GEN_ERROR)
-        message(${GEN_ERROR})
-        message(STATUS "Error generating Matlab code. Disabling Matlab bindings...")
-        ocv_module_disable(matlab)
-        return()
-    else()
-        message(STATUS "Trying to generate Matlab code - OK")
-    endif()
-
-    # attempt to compile a gateway using mex
-    message(STATUS "Trying to compile mex file")
-    execute_process(
-        COMMAND ${MATLAB_MEX_SCRIPT} ${MEX_OPTS} "CXXFLAGS=\$CXXFLAGS ${MEX_CXX_FLAGS}"
-                ${MEX_INCLUDE_DIRS} ${CMAKE_CURRENT_SOURCE_DIR}/test/test_compiler.cpp
-        WORKING_DIRECTORY ${CMAKE_BINARY_DIR}/junk
-        ERROR_VARIABLE MEX_ERROR
-        OUTPUT_QUIET
-    )
-
-    if (MEX_ERROR)
-        message(${MEX_ERROR})
-        message(STATUS "Error compiling mex file. Disabling Matlab bindings...")
-        ocv_module_disable(matlab)
-        return()
-    else()
-        message(STATUS "Trying to compile mex file - OK")
-    endif()
-endif()
-
-# if we make it here, mex works!
-set(MEX_WORKS True CACHE BOOL ADVANCED)
-
-
-# ----------------------------------------------------------------------------
-#  Build time components
-# ----------------------------------------------------------------------------
-
-# proxies
-# these proxies are used to trigger the add_custom_commands
-# (which do the real work) only when they're outdated
-set(GENERATE_PROXY ${CMAKE_CURRENT_BINARY_DIR}/generate.proxy)
-set(COMPILE_PROXY ${CMAKE_CURRENT_BINARY_DIR}/compile.proxy)
-# TODO: Remove following line before merging with master
-file(REMOVE ${GENERATE_PROXY} ${COMPILE_PROXY})
-
-# generate
-# call the python executable to generate the Matlab gateways
-add_custom_command(
-    OUTPUT ${GENERATE_PROXY}
-    COMMAND ${PYTHON_DEFAULT_EXECUTABLE}
-            ${CMAKE_CURRENT_SOURCE_DIR}/generator/gen_matlab.py
-            --jinja2     ${JINJA2_PATH}
-            --hdrparser  ${HDR_PARSER_PATH}
-            --rstparser  ${RST_PARSER_PATH}
-            --moduleroot ${CMAKE_SOURCE_DIR}/modules
-            --modules    ${opencv_modules}
-            --extra      ${opencv_extra_hdrs}
-            --outdir     ${CMAKE_CURRENT_BINARY_DIR}
-    COMMAND ${PYTHON_DEFAULT_EXECUTABLE}
-            ${CMAKE_CURRENT_SOURCE_DIR}/generator/build_info.py
-            --jinja2         ${JINJA2_PATH}
-            --os             ${CMAKE_SYSTEM}
-            --arch           ${ARCH} ${CMAKE_SYSTEM_PROCESSOR}
-            --compiler       ${CMAKE_CXX_COMPILER_ID} ${CMAKE_CXX_COMPILER_VERSION}
-            --mex_arch       ${MATLAB_ARCH}
-            --mex_script     ${MATLAB_MEX_SCRIPT}
-            --cxx_flags      ${MEX_CXXFLAGS}
-            --opencv_version ${OPENCV_VERSION}
-            --commit         ${GIT_COMMIT}
-            --modules        ${opencv_modules}
-            --configuration  $<CONFIGURATION>
-            --outdir         ${CMAKE_CURRENT_BINARY_DIR}
-    COMMAND ${PYTHON_DEFAULT_EXECUTABLE}
-            ${CMAKE_CURRENT_SOURCE_DIR}/generator/cvmex.py
-            --jinja2 ${JINJA2_PATH}
-            --opts="${MEX_OPTS}"
-            --include_dirs="${MEX_INCLUDE_DIRS}"
-            --lib_dir="${MEX_LIB_DIR}"
-            --libs="${MEX_LIBS}"
-            --flags  ${MEX_CXXFLAGS}
-            --outdir ${CMAKE_CURRENT_BINARY_DIR}
-    COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_CURRENT_SOURCE_DIR}/test/help.m ${CMAKE_CURRENT_BINARY_DIR}/+cv
-    COMMAND ${CMAKE_COMMAND} -E touch ${GENERATE_PROXY}
-    COMMENT "Generating Matlab source files"
-)
-
-# compile
-# call the mex compiler to compile the gateways
-# because we don't know the source files at configure-time, this
-# has to be executed in a separate script in cmake's script processing mode
-add_custom_command(
-    OUTPUT ${COMPILE_PROXY}
-    COMMAND ${CMAKE_COMMAND} -DMATLAB_MEX_SCRIPT=${MATLAB_MEX_SCRIPT}
-                             -DMATLAB_MEXEXT=${MATLAB_MEXEXT}
-                             -DMEX_OPTS=${MEX_OPTS}
-                             -DMEX_CXXFLAGS=${MEX_CXX_FLAGS}
-                             -DMEX_INCLUDE_DIRS="${MEX_INCLUDE_DIRS}"
-                             -DMEX_LIB_DIR="${MEX_LIB_DIR}"
-                             -DCONFIGURATION="$<CONFIGURATION>"
-                             -DMEX_LIBS="${MEX_LIBS}"
-                             -DMEX_DEBUG_LIBS="${MEX_DEBUG_LIBS}"
-                             -P ${CMAKE_CURRENT_SOURCE_DIR}/compile.cmake
-    COMMAND ${CMAKE_COMMAND} -E touch ${COMPILE_PROXY}
-    COMMENT "Compiling Matlab source files. This could take a while..."
-)
-
-# targets
-# opencv_matlab_sources --> opencv_matlab
-add_custom_target(${the_module}_sources ALL DEPENDS ${GENERATE_PROXY})
-add_custom_target(${the_module} ALL DEPENDS ${COMPILE_PROXY})
-add_dependencies(${the_module} ${the_module}_sources ${${the_module}_ACTUAL_DEPS})
-
-if (ENABLE_SOLUTION_FOLDERS)
-    set_target_properties(${the_module} PROPERTIES FOLDER "modules")
-endif()
-
-
-# ----------------------------------------------------------------------------
-#  Install time components
-# ----------------------------------------------------------------------------
-# NOTE: Trailing slashes on the DIRECTORY paths are important!
-# TODO: What needs to be done with rpath????
-
-# install the +cv directory verbatim
-install(DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/include/ DESTINATION ${OPENCV_INCLUDE_INSTALL_PATH})
-install(DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/+cv/     DESTINATION matlab/+cv)
-install(FILES ${CMAKE_CURRENT_BINARY_DIR}/cv.m         DESTINATION matlab)
-
-# update the custom mex compiler to point to the install locations
-string(REPLACE ";" "\\ " MEX_OPTS "${MEX_OPTS}")
-string(REPLACE ";" "\\ " MEX_LIBS "${MEX_LIBS}")
-string(REPLACE " " "\\ " MEX_CXXFLAGS ${MEX_CXXFLAGS})
-string(REPLACE ";" "\\ " MEX_INCLUDE_DIRS "${MEX_INCLUDE_DIRS}")
-install(CODE
-    "execute_process(
-    COMMAND ${PYTHON_DEFAULT_EXECUTABLE}
-            ${CMAKE_CURRENT_SOURCE_DIR}/generator/cvmex.py
-            --jinja2 ${JINJA2_PATH}
-            --opts=${MEX_OPTS}
-            --include_dirs=-I${CMAKE_INSTALL_PREFIX}/${OPENCV_INCLUDE_INSTALL_PATH}
-            --lib_dir=-L${CMAKE_INSTALL_PREFIX}/${OPENCV_LIB_INSTALL_PATH}
-            --libs=${MEX_LIBS}
-            --flags=${MEX_CXXFLAGS}
-            --outdir ${CMAKE_INSTALL_PREFIX}/matlab
-    )"
-)
diff --git a/modules/matlab/LICENSE b/modules/matlab/LICENSE
deleted file mode 100644
index 391cbd37cb..0000000000
--- a/modules/matlab/LICENSE
+++ /dev/null
@@ -1,42 +0,0 @@
-////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this
-//  license. If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote
-//     products derived from this software without specific prior written
-//     permission.
-//
-// This software is provided by the copyright holders and contributors "as is"
-// and any express or implied warranties, including, but not limited to, the
-// implied warranties of merchantability and fitness for a particular purpose
-// are disclaimed. In no event shall the Intel Corporation or contributors be
-// liable for any direct, indirect, incidental, special, exemplary, or
-// consequential damages (including, but not limited to, procurement of
-// substitute goods or services; loss of use, data, or profits; or business
-// interruption) however caused and on any theory of liability, whether in
-// contract, strict liability, or tort (including negligence or otherwise)
-// arising in any way out of the use of this software, even if advised of the
-// possibility of such damage.
-//
-////////////////////////////////////////////////////////////////////////////////
diff --git a/modules/matlab/README.md b/modules/matlab/README.md
deleted file mode 100644
index 42237eccf8..0000000000
--- a/modules/matlab/README.md
+++ /dev/null
@@ -1,394 +0,0 @@
-OpenCV Matlab Code Generator
-============================
-This module contains a code generator to automatically produce Matlab mex wrappers for other modules within the OpenCV library. Once compiled and added to the Matlab path, this gives users the ability to call OpenCV methods natively from within Matlab.
-
-
-Build
------
-The Matlab code generator is fully integrated into the OpenCV build system. If cmake finds a Matlab installation available on the host system while configuring OpenCV, it will attempt to generate Matlab wrappers for all OpenCV modules. If cmake is having trouble finding your Matlab installation, you can explicitly point it to the root by defining the `MATLAB_ROOT_DIR` variable. For example, on a Mac you could type:
-
-    cmake -DMATLAB_ROOT_DIR=/Applications/MATLAB_R2013a.app ..
-
-
-Install
--------
-In order to use the bindings, you will need to add them to the Matlab path. The path to add is:
-
-1. `${CMAKE_BUILD_DIR}/modules/matlab` if you are working from the build tree, or
-2. `${CMAKE_INSTALL_PREFIX}/matlab` if you have installed OpenCV
-
-In Matlab, simply run:
-
-    addpath('/path/to/opencv/matlab/');
-
-
-Run
----
-Once you've added the bindings directory to the Matlab path, you can start using them straight away! OpenCV calls need to be prefixed with a 'cv' qualifier, to disambiguate them from Matlab methods of the same name. For example, to compute the dft of a matrix, you might do the following:
-
-```matlab
-% load an image (Matlab)
-I = imread('cameraman.tif');
-
-% compute the DFT (OpenCV)
-If = cv.dft(I, cv.DFT_COMPLEX_OUTPUT);
-```
-
-As you can see, both OpenCV methods and constants can be used with 'cv' qualification. You can also call:
-
-    help cv.dft
-
-to get help on the purpose and call signature of a particular method, or
-
-    help cv
-
-to get general help regarding the OpenCV bindings. If you ever run into issues with the bindings
-
-    cv.buildInformation();
-
-will produce a printout of diagnostic information pertaining to your particular build of OS, OpenCV and Matlab. It is useful to submit this information alongside a bug report to the OpenCV team.
-
-Writing your own mex files
---------------------------
-The Matlab bindings come with a set of utilities to help you quickly write your own mex files using OpenCV definitions. By doing so, you have all the speed and freedom of C++, with the power of OpenCV's math expressions and optimizations.
-
-The first thing you need to learn how to do is write a mex-file with Matlab constructs. Following is a brief example:
-
-```cpp
-// include useful constructs
-// this automatically includes opencv core.hpp and mex.h)
-#include <opencv2/matlab/bridge.hpp>
-using namespace cv;
-using namespace matlab;
-using namespace bridge;
-
-// define the mex gateway
-void mexFunction(int nlhs, mxArray* plhs[],
-                 int nrhs, const mxArray* prhs[]) {
-
-  // claim the inputs into scoped management
-  MxArrayVector raw(prhs, prhs+nrhs);
-
-  // add an argument parser to automatically handle basic options
-  ArgumentParser parser("my function");
-  parser.addVariant(1, 1, "opt");
-  MxArrayVector reordered = parser.parse(raw);
-
-  // if we get here, we know the inputs are valid and reordered. Unpack...
-  BridgeVector inputs(reordered.begin(), reordered.end());
-  Mat required    = inputs[0].toMat();
-  string optional = inputs[1].empty() ? "Default string" : inputs[1].toString();
-
-  try {
-    // Do stuff...
-  } catch(Exception& e) {
-    error(e.what());
-  } catch(...) {
-    error("Uncaught exception occurred");
-  }
-
-  // allocate an output
-  Bridge out = required;
-  plhs[0] = out.toMxArray().releaseOwnership();
-}
-```
-
-There are a couple of important things going on in this example. Firstly, you need to include `<opencv2/matlab/bridge.hpp>` to enable the bridging capabilities. Once you've done this, you get some nice utilities for free. `MxArray` is a class that wraps Matlab's `mxArray*` class in an OOP-style interface. `ArgumentParser` is a class that handles default, optional and named arguments for you, along with multiple possible calling syntaxes. Finally, `Bridge` is a class that allows bidirectional conversions between OpenCV/std and Matlab types.
-
-Once you have written your file, it can be compiled with the provided mex utility:
-
-    cv.mex('my_function.cpp');
-
-This utility automatically links in all of the necessary OpenCV libraries to make your function work.
-
-NOTE: OpenCV uses exceptions throughout the codebase. It is a **very** good idea to wrap your code in exception handlers to avoid crashing Matlab in the event of an exception being thrown.
-
-------------------------------------------------------------------
-
-
-Developer
-=========
-The following sections contain information for developers seeking to use, understand or extend the Matlab bindings. The bindings are generated in python using a powerful templating engine called Jinja2. Because Matlab mex gateways have a common structure, they are well suited to templatization. There are separate templates for formatting C++ classes, Matlab classes, C++ functions, constants (enums) and documentation.
-
-The task of the generator is two-fold:
-
-1. To parse the OpenCV headers and build a semantic tree that can be fed to the template engine
-2. To define type conversions between C++/OpenCV and Matlab types
-
-Once a source file has been generated for each OpenCV definition, and type conversions have been established, the mex compiler is invoked to produce the mex gateway (shared object) and link in the OpenCV libraries.
-
-
-File layout
------------
-opencv/modules/matlab (this module)
-
-* `CMakeLists.txt` (main cmake configuration file)
-* `README.md` (this file)
-* `compile.cmake` (the cmake script for compiling generated source code)
-* `generator` (the folder containing generator code)
-  * `filters.py` (template filters)
-  * `gen_matlab.py` (the binding generator control script)
-  * `parse_tree.py` (python class to refactor the hdr_parser.py output)
-  * `templates` (the raw templates for populating classes, constants, functions and docs)
-* `include` (C++ headers for the bindings)
-  * `mxarray.hpp` (C++ OOP-style interface for Matlab mxArray* class)
-  * `bridge.hpp` (type conversions)
-  * `map.hpp` (hash map interface for instance storage and method lookup)
-* `test` (generator, compiler and binding test scripts)
-
-
-Call Tree
----------
-The cmake call tree can be broken into 3 main components:
-
-1. configure time
-2. build time
-3. install time
-
-**Find Matlab (configure)**
-The first thing to do is discover a Matlab installation on the host system. This is handled by the `OpenCVFindMatlab.cmake` in `opencv/cmake`. On Windows machines it searches the registry and path, while on *NIX machines it searches a set of canonical install paths. Once Matlab has been found, a number of variables are defined, such as the path to the mex compiler, the mex libraries, the mex include paths, the architectural extension, etc.
-
-**Test the generator (configure)**
-Attempt to produce a source file for a simple definition. This tests whether python and pythonlibs are correctly invoked on the host.
-
-**Test the mex compiler (configure)**
-Attempt to compile a simple definition using the mex compiler. A mex file is actually just a shared object with a special exported symbol `_mexFunction` which serves as the entry-point to the function. As such, the mex compiler is just a set of scripts configuring the system compiler. In most cases this is the same as the OpenCV compiler, but *could* be different. The test checks whether the mex and generator includes can be found, the system libraries can be linked and the passed compiler flags are compatible.
-
-If any of the configure time tests fail, the bindings will be disabled, but the main OpenCV configure will continue without error. The configuration summary will contain the block:
-
-  Matlab
-    mex:          /Applications/MATLAB_R2013a.app/bin/mex
-    compiler/generator:    Not working (bindings will not be generated)
-
-**Generate the sources (build)**
-Given a set of modules (the intersection of the OpenCV modules being built and the matlab module optional dependencies), the `CppHeaderParser()` from `opencv/modules/python/src2/hdr_parser.py` will parse the module headers and produce a set of definitions.
-
-The `ParseTree()` from `opencv/modules/matlab/generator/parse_tree.py` takes this set of definitions and refactors them into a semantic tree better suited to templatization. For example, a trivial definition from the header parser may look something like:
-
-```python
-[fill, void, ['/S'], [cv::Mat&, mat, '', ['/I', '/O']]]
-```
-
-The equivalent refactored output will look like:
-
-```python
-  Function
-    name   = 'fill'
-    rtype  = 'void'
-    static = True
-    req =
-      Argument
-        name    = 'mat'
-        type    = 'cv::Mat'
-        ref     = '&'
-        I       = True
-        O       = True
-        default = ''
-```
-
-The added semantics (Namespace, Class, Function, Argument, name, etc) make it easier for the templating engine to parse, slice and populate definitions.
-
-Once the definitions have been parsed, `gen_matlab.py` passes each definition to the template engine with the appropriate template (class, function, enum, doc) and the filled template gets written to the `${CMAKE_CURRENT_BUILD_DIR}/src` directory.
-
-The generator relies upon a proxy object called `generate.proxy` to determine when the sources are out of date and need to be re-generated.
-
-**Compile the sources (build)**
-Once the sources have been generated, they are compiled by the mex compiler. The `compile.cmake` script in `opencv/modules/matlab/` takes responsibility for iterating over each source file in `${CMAKE_CURRENT_BUILD_DIR}/src` and compiling it with the passed includes and OpenCV libraries.
-
-The flags used to compile the main OpenCV libraries are also forwarded to the mex compiler. So if, for example, you compiled OpenCV with SSE support, the mex bindings will also use SSE. Likewise, if you compile OpenCV in debug mode, the bindings will link to the debug version of the libraries.
-
-Importantly, the mex compiler includes the `mxarray.hpp`, `bridge.hpp` and `map.hpp` files from the `opencv/modules/matlab/include` directory. `mxarray.hpp` defines a `MxArray` class which wraps Matlab's `mxArray*` type in a more friendly OOP-syle interface. `bridge.hpp` defines a `Bridge` class which is able to perform type conversions between Matlab types and std/OpenCV types. It can be extended with new definitions using the plugin interface described in that file.
-
-The compiler relies upon a proxy object called `compile.proxy` to determine when the generated sources are out of date and need to be re-compiled.
-
-**Install the files (install)**
-At install time, the mex files are put into place at `${CMAKE_INSTALL_PREFIX}/matlab` and their linkages updated.
-
-
-Jinja2
-------
-Jinja2 is a powerful templating engine, similar to python's builtin `string.Template` class but implementing the model-view-controller paradigm. For example, a trivial view could be populated as follows:
-
-**view.py**
-
-```html+django
-<title>{{ title }}</title>
-<ul>
-{% for user in users %}
-  <li><a href="{{ user.url }}">{{ user.username | sanitize }}</a></li>
-{% endfor %}
-</ul>
-```
-
-**model.py**
-
-```python
-class User(object):
-  __init__(self):
-    self.username = ''
-    self.url = ''
-
-def sanitize(text):
-  """Filter for escaping html tags to prevent code injection"""
-```
-
-**controller.py**
-
-```python
-def populate(users):
-# initialize jinja
-jtemplate = jinja2.Environment(loader=FileSystemLoader())
-
-# add the filters to the engine
-jtemplate['sanitize'] = sanitize
-
-# get the view
-template = jtemplate.get_template('view')
-
-# populate the template with a list of User objects
-populated = template.render(title='all users', users=users)
-
-# write to file
-with open('users.html', 'wb') as f:
-  f.write(populated)
-```
-
-Thus the style and layout of the view is kept separate from the content (model). This modularity improves readability and maintainability of both the view and content and (for my own sanity) has helped significantly in debugging errors.
-
-File Reference
---------------
-**gen_matlab.py**
-gen_matlab has the following call signature:
-
-  gen_matlab.py --jinja2 path/to/jinja2/engine
-          --hdrparser path/to/hdr_parser/dir
-          --rstparser path/to/rst_parser/dir
-          --moduleroot path/to/opencv/modules
-          --modules [core imgproc highgui ...]
-          --extra namespace=/additional/header/to/parse
-          --outdir /path/to/place/generated/src
-
-**build_info.py**
-build_info has the following call signature:
-
-  build_info.py --jinja2 path/to/jinja2/engine
-          --os operating_system_string
-          --arch [bitness processor]
-          --compiler [id version]
-          --mex_arch arch_string
-          --mex_script /path/to/mex/script
-          --cxx_flags [-list -of -flags -to -passthrough]
-          --opencv_version version_string
-          --commit commit_hash_if_using_git
-          --modules core imgproc highgui etc
-          --configuration Debug/Release
-          --outdir path/to/place/build/info
-
-**cvmex.py**
-cvmex.py, the custom compiler generator, has the following call signature:
-
-  cvmex.py --jinja2 path/to/jinja2/engine
-          --opts [-list -of -opts]
-          --include_dirs [-list -of -opencv_include_directories]
-          --lib_dir opencv_lib_directory
-          --libs [-lopencv_core -lopencv_imgproc ...]
-          --flags [-Wall -opencv_build_flags ...]
-          --outdir /path/to/generated/output
-
-**parse_tree.py**
-To build a parse tree, first parse a set of headers, then invoke the parse tree to refactor the output:
-
-```python
-# parse a set of definitions into a dictionary of namespaces
-parser = CppHeaderParser()
-ns['core'] = parser.parse('path/to/opencv/core.hpp')
-
-# refactor into a semantic tree
-parse_tree = ParseTree()
-parse_tree.build(ns)
-
-# iterate over the tree
-for namespace in parse_tree.namespaces:
-  for clss in namespace.classes:
-    # do stuff
-  for method in namespace.methods:
-    # do stuff
-```
-
-**mxarray.hpp**
-mxarray.hpp defines a class called `MxArray` which provides an OOP-style interface for Matlab's homogeneous `mxArray*` type. To create an `MxArray`, you can either inherit an existing array
-
-```cpp
-MxArray mat(prhs[0]);
-```
-
-or create a new array
-
-```cpp
-MxArray mat(5, 5, Matlab::Traits<double>::ScalarType);
-MxArray mat = MxArray::Matrix<double>(5, 5);
-```
-
-The default constructor allocates a `0 x 0` array. Once you have encapculated an `mxArray*` you can access its properties through member functions:
-
-```cpp
-mat.rows();
-mat.cols();
-mat.size();
-mat.channels();
-mat.isComplex();
-mat.isNumeric();
-mat.isLogical();
-mat.isClass();
-mat.className();
-mat.real();
-mat.imag();
-```
-
-The MxArray object uses scoped memory management. If you wish to pass an MxArray back to Matlab (as a lhs pointer), you need to explicitly release ownership of the array so that it is not destroyed when it leaves scope:
-
-```cpp
-plhs[0] = mat.releaseOwnership();
-```
-
-mxarray.hpp also includes a number of helper utilities that make working in mex-world a little easier. One such utility is the `ArgumentParser`. `ArgumentParser` automatically handles required and optional arguments to a method, and even enables named arguments as used in many core Matlab functions. For example, if you had a function with the following signature:
-
-```cpp
-void f(Mat first, Mat second, Mat mask=Mat(), int dtype=-1);
-```
-
-then you can create an `ArgumentParser` as follows:
-
-```cpp
-ArgumentParser parser("f");
-parser.addVariant(2, 2, "mask", "dtype");
-MxArrayVector inputs = parser.parse(prhs, prhs+nrhs);
-```
-
-and that will make available the following calling syntaxes:
-
-```matlab
-f(first, second);
-f(first, second, mask);
-f(first, second, mask, dtype);
-f(first, second, 'dtype', dtype, 'mask', mask); % optional ordering does not matter
-f(first, second, 'dtype', dtype); % only second optional argument provided
-f(first, second, mask, 'dtype', dtype); % mixture of ordered and named
-```
-
-Further, the output of the `parser.parse()` method will always contain the total number of required and optional arguments that the method can take, with unspecified arguments given by empty matrices. Thus, to check if an optional argument has been given, you can do:
-
-```cpp
-int dtype = inputs[3].empty() ? -1 : inputs[3].scalar<double>();
-```
-
-**bridge.hpp**
-The bridge interface defines a `Bridge` class which provides type conversion between std/OpenCV and Matlab types. A type conversion must provide the following:
-
-```cpp
-Bridge& operator=(const MyObject&);
-MyObject toMyObject();
-operator MyObject();
-```
-
-The binding generator will then automatically call the conversion operators (either explicitly or implicitly) if your `MyObject` class is encountered as an input or return from a parsed definition.
diff --git a/modules/matlab/compile.cmake b/modules/matlab/compile.cmake
deleted file mode 100644
index 2fb087f874..0000000000
--- a/modules/matlab/compile.cmake
+++ /dev/null
@@ -1,49 +0,0 @@
-# LISTIFY
-# Given a string of space-delimited tokens, reparse as a string of
-# semi-colon delimited tokens, which in CMake land is exactly equivalent
-# to a list
-macro(listify OUT_LIST IN_STRING)
-    string(REPLACE " " ";" ${OUT_LIST} ${IN_STRING})
-endmacro()
-
-# listify multiple-argument inputs
-listify(MEX_INCLUDE_DIRS_LIST ${MEX_INCLUDE_DIRS})
-if (${CONFIGURATION} MATCHES "Debug")
-    listify(MEX_LIBS_LIST ${MEX_DEBUG_LIBS})
-else()
-    listify(MEX_LIBS_LIST ${MEX_LIBS})
-endif()
-
-# if it's MSVC building a Debug configuration, don't build bindings
-if ("${CONFIGURATION}" MATCHES "Debug")
-    message(STATUS "Matlab bindings are only available in Release configurations. Skipping...")
-    return()
-endif()
-
-# -----------------------------------------------------------------------------
-# Compile
-# -----------------------------------------------------------------------------
-# for each generated source file:
-# 1. check if the file has already been compiled
-# 2. attempt compile if required
-# 3. if the compile fails, throw an error and cancel compilation
-file(GLOB SOURCE_FILES "${CMAKE_CURRENT_BINARY_DIR}/src/*.cpp")
-foreach(SOURCE_FILE ${SOURCE_FILES})
-    # strip out the filename
-    get_filename_component(FILENAME ${SOURCE_FILE} NAME_WE)
-    # compile the source file using mex
-    if (NOT EXISTS ${CMAKE_CURRENT_BINARY_DIR}/+cv/${FILENAME}.${MATLAB_MEXEXT})
-        execute_process(
-            COMMAND ${MATLAB_MEX_SCRIPT} ${MEX_OPTS} "CXXFLAGS=\$CXXFLAGS ${MEX_CXXFLAGS}" ${MEX_INCLUDE_DIRS_LIST}
-                    ${MEX_LIB_DIR} ${MEX_LIBS_LIST} ${SOURCE_FILE}
-            WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}/+cv
-            OUTPUT_QUIET
-            ERROR_VARIABLE FAILED
-        )
-    endif()
-    # TODO: If a mex file fails to compile, should we error out?
-    # TODO: Warnings are currently treated as errors...
-    if (FAILED)
-        message(FATAL_ERROR "Failed to compile ${FILENAME}: ${FAILED}")
-    endif()
-endforeach()
diff --git a/modules/matlab/generator/build_info.py b/modules/matlab/generator/build_info.py
deleted file mode 100644
index 1340d9f926..0000000000
--- a/modules/matlab/generator/build_info.py
+++ /dev/null
@@ -1,75 +0,0 @@
-#!/usr/bin/env python
-
-def substitute(build, output_dir):
-
-    # setup the template engine
-    template_dir = os.path.join(os.path.dirname(__file__), 'templates')
-    jtemplate    = Environment(loader=FileSystemLoader(template_dir), trim_blocks=True, lstrip_blocks=True)
-
-    # add the filters
-    jtemplate.filters['csv'] = csv
-    jtemplate.filters['stripExtraSpaces'] = stripExtraSpaces
-
-    # load the template
-    template = jtemplate.get_template('template_build_info.m')
-
-    # create the build directory
-    output_dir  = output_dir+'/+cv'
-    if not os.path.isdir(output_dir):
-      os.mkdir(output_dir)
-
-    # populate template
-    populated = template.render(build=build, time=time)
-    with open(os.path.join(output_dir, 'buildInformation.m'), 'wb') as f:
-        f.write(populated.encode('utf-8'))
-
-if __name__ == "__main__":
-    """
-    Usage: python build_info.py --jinja2 /path/to/jinja2/engine
-                                --os os_version_string
-                                --arch [bitness processor]
-                                --compiler [id version]
-                                --mex_arch arch_string
-                                --mex_script /path/to/mex/script
-                                --cxx_flags [-list -of -flags -to -passthrough]
-                                --opencv_version version_string
-                                --commit commit_hash_if_using_git
-                                --modules [core imgproc highgui etc]
-                                --configuration Debug/Release
-                                --outdir /path/to/write/build/info
-
-    build_info.py generates a Matlab function that can be invoked with a call to
-      >> cv.buildInformation();
-
-    This function prints a summary of the user's OS, OpenCV and Matlab build
-    given the information passed to this module. build_info.py invokes Jinja2
-    on the template_build_info.m template.
-    """
-
-    # parse the input options
-    import sys, re, os, time
-    from argparse import ArgumentParser
-    parser = ArgumentParser()
-    parser.add_argument('--jinja2')
-    parser.add_argument('--os')
-    parser.add_argument('--arch', nargs=2)
-    parser.add_argument('--compiler', nargs='+')
-    parser.add_argument('--mex_arch')
-    parser.add_argument('--mex_script')
-    parser.add_argument('--mex_opts', default=['-largeArrayDims'], nargs='*')
-    parser.add_argument('--cxx_flags', default=[], nargs='*')
-    parser.add_argument('--opencv_version', default='', nargs='?')
-    parser.add_argument('--commit', default='Not in working git tree', nargs='?')
-    parser.add_argument('--modules', nargs='+')
-    parser.add_argument('--configuration')
-    parser.add_argument('--outdir')
-    build = parser.parse_args()
-
-    # add jinja to the path
-    sys.path.append(build.jinja2)
-
-    from filters import *
-    from jinja2 import Environment, FileSystemLoader
-
-    # populate the build info template
-    substitute(build, build.outdir)
diff --git a/modules/matlab/generator/cvmex.py b/modules/matlab/generator/cvmex.py
deleted file mode 100644
index 731d30a0e7..0000000000
--- a/modules/matlab/generator/cvmex.py
+++ /dev/null
@@ -1,63 +0,0 @@
-#!/usr/bin/env python
-
-def substitute(cv, output_dir):
-
-    # setup the template engine
-    template_dir = os.path.join(os.path.dirname(__file__), 'templates')
-    jtemplate    = Environment(loader=FileSystemLoader(template_dir), trim_blocks=True, lstrip_blocks=True)
-
-    # add the filters
-    jtemplate.filters['cellarray'] = cellarray
-    jtemplate.filters['split'] = split
-    jtemplate.filters['csv'] = csv
-
-    # load the template
-    template = jtemplate.get_template('template_cvmex_base.m')
-
-    # create the build directory
-    output_dir  = output_dir+'/+cv'
-    if not os.path.isdir(output_dir):
-      os.mkdir(output_dir)
-
-    # populate template
-    populated = template.render(cv=cv, time=time)
-    with open(os.path.join(output_dir, 'mex.m'), 'wb') as f:
-        f.write(populated.encode('utf-8'))
-
-if __name__ == "__main__":
-    """
-    Usage: python cvmex.py  --jinja2 /path/to/jinja2/engine
-                            --opts [-list -of -opts]
-                            --include_dirs [-list -of -opencv_include_directories]
-                            --lib_dir opencv_lib_directory
-                            --libs [-lopencv_core -lopencv_imgproc ...]
-                            --flags [-Wall -opencv_build_flags ...]
-                            --outdir /path/to/generated/output
-
-    cvmex.py generates a custom mex compiler that automatically links OpenCV
-    libraries to built sources where appropriate. The calling syntax is the
-    same as the builtin mex compiler, with added cv qualification:
-      >> cv.mex(..., ...);
-    """
-
-    # parse the input options
-    import sys, re, os, time
-    from argparse import ArgumentParser
-    parser = ArgumentParser()
-    parser.add_argument('--jinja2')
-    parser.add_argument('--opts')
-    parser.add_argument('--include_dirs')
-    parser.add_argument('--lib_dir')
-    parser.add_argument('--libs')
-    parser.add_argument('--flags')
-    parser.add_argument('--outdir')
-    cv = parser.parse_args()
-
-    # add jinja to the path
-    sys.path.append(cv.jinja2)
-
-    from filters import *
-    from jinja2 import Environment, FileSystemLoader
-
-    # populate the mex base template
-    substitute(cv, cv.outdir)
diff --git a/modules/matlab/generator/filters.py b/modules/matlab/generator/filters.py
deleted file mode 100644
index de69ff7e41..0000000000
--- a/modules/matlab/generator/filters.py
+++ /dev/null
@@ -1,179 +0,0 @@
-from textwrap import TextWrapper
-import re, os
-# precompile a URL matching regular expression
-urlexpr = re.compile(r"((https?):((//)|(\\\\))+[\w\d:#@%/;$()~_?\+-=\\\.&]*)", re.MULTILINE|re.UNICODE)
-
-def inputs(args):
-    '''Keeps only the input arguments in a list of elements.
-    In OpenCV input arguments are all arguments with names
-    not beginning with 'dst'
-    '''
-    try:
-      return [arg for arg in args['only'] if arg.I and not arg.O]
-    except:
-      return [arg for arg in args if arg.I]
-
-def ninputs(fun):
-    '''Counts the number of input arguments in the input list'''
-    return len(inputs(fun.req)) + len(inputs(fun.opt))
-
-def outputs(args):
-    '''Determines whether any of the given arguments is an output
-    reference, and returns a list of only those elements.
-    In OpenCV, output references are preceeded by 'dst'
-    '''
-    try:
-      return [arg for arg in args['only'] if arg.O and not arg.I]
-    except:
-      return [arg for arg in args if arg.O]
-
-def only(args):
-    '''Returns exclusively the arguments which are only inputs
-    or only outputs'''
-    d = {};
-    d['only'] = args
-    return d
-
-def void(arg):
-    '''Is the input 'void' '''
-    return arg == 'void'
-
-def flip(arg):
-    '''flip the sign of the input'''
-    return not arg
-
-def noutputs(fun):
-    '''Counts the number of output arguments in the input list'''
-    return int(not void(fun.rtp)) + len(outputs(fun.req)) + len(outputs(fun.opt))
-
-def convertibleToInt(string):
-    '''Can the input string be evaluated to an integer?'''
-    salt = '1+'
-    try:
-        exec(salt+string)
-        return True
-    except:
-        return False
-
-def binaryToDecimal(string):
-    '''Attempt to convert the input string to floating point representation'''
-    try:
-        return str(eval(string))
-    except:
-        return string
-
-def formatMatlabConstant(string, table):
-    '''
-    Given a string representing a Constant, and a table of all Constants,
-    attempt to resolve the Constant into a valid Matlab expression
-    For example, the input
-      DEPENDENT_VALUE = 1 << FIXED_VALUE
-    needs to be converted to
-      DEPENDENT_VALUE = bitshift(1, cv.FIXED_VALUE);
-    '''
-    # split the string into expressions
-    words = re.split('(\W+)', string)
-    # add a 'cv' prefix if an expression is also a key in the lookup table
-    words = ''.join([('cv.'+word if word in table else word) for word in words])
-    # attempt to convert arithmetic expressions and binary/hex to decimal
-    words = binaryToDecimal(words)
-    # convert any remaining bitshifts to Matlab 'bitshift' methods
-    shift = re.sub('[\(\) ]', '', words).split('<<')
-    words = 'bitshift('+shift[0]+', '+shift[1]+')' if len(shift) == 2 else words
-    return words
-
-def matlabURL(string):
-    """This filter is used to construct a Matlab specific URL that calls the
-    system browser instead of the (insanely bad) builtin Matlab browser"""
-    return re.sub(urlexpr, '<a href="matlab: web(\'\\1\', \'-browser\')">\\1</a>', string)
-
-def capitalizeFirst(text):
-    '''Capitalize only the first character of the text string'''
-    return text[0].upper() + text[1:]
-
-def toUpperCamelCase(text):
-    '''variable_name --> VariableName'''
-    return ''.join([capitalizeFirst(word) for word in text.split('_')])
-
-def toLowerCamelCase(text):
-    '''variable_name --> variableName'''
-    upper_camel = toUpperCamelCase(test)
-    return upper_camel[0].lower() + upper_camel[1:]
-
-def toUnderCase(text):
-    '''VariableName --> variable_name'''
-    s1 = re.sub('(.)([A-Z][a-z]+)', r'\1_\2', text)
-    return re.sub('([a-z0-9])([A-Z])', r'\1_\2', s1).lower()
-
-def stripTags(text):
-    '''
-    strip or convert html tags from a text string
-    <code>content</code> --> content
-    <anything>           --> ''
-    &lt                  --> <
-    &gt                  --> >
-    &le                  --> <=
-    &ge                  --> >=
-    '''
-    upper = lambda pattern: pattern.group(1).upper()
-    text = re.sub('<code>(.*?)</code>', upper, text)
-    text = re.sub('<([^=\s].*?)>', '', text)
-    text = re.sub('&lt', '<', text)
-    text = re.sub('&gt', '>', text)
-    text = re.sub('&le', '<=', text)
-    text = re.sub('&ge', '>=', text)
-    return text
-
-def qualify(text, name):
-    '''Adds uppercase 'CV.' qualification to any occurrences of name in text'''
-    return re.sub(name.upper(), 'CV.'+name.upper(), text)
-
-def slugify(text):
-    '''A_Function_name --> a-function-name'''
-    return text.lower().replace('_', '-')
-
-def filename(fullpath):
-    '''Returns only the filename without an extension from a file path
-    eg. /path/to/file.txt --> file
-    '''
-    return os.path.splitext(os.path.basename(fullpath))[0]
-
-def split(text, delimiter=' '):
-    '''Split a text string into a list using the specified delimiter'''
-    return text.split(delimiter)
-
-def csv(items, sep=', '):
-    '''format a list with a separator (comma if not specified)'''
-    return sep.join(item for item in items)
-
-def cellarray(items, escape='\''):
-    '''format a list of items as a matlab cell array'''
-    return '{' + ', '.join(escape+item+escape for item in items) + '}'
-
-def stripExtraSpaces(text):
-    '''Removes superfluous whitespace from a string, including the removal
-    of all leading and trailing whitespace'''
-    return ' '.join(text.split())
-
-def comment(text, wrap=80, escape='% ', escape_first='', escape_last=''):
-    '''comment filter
-    Takes a string in text, and wraps it to wrap characters in length with
-    preceding comment escape sequence on each line. escape_first and
-    escape_last can be used for languages which define block comments.
-    Examples:
-        C++ inline comment    comment(80, '// ')
-        C block comment:      comment(80, ' * ', '/*', ' */')
-        Matlab comment:       comment(80, '% ')
-        Matlab block comment: comment(80, '', '%{', '%}')
-        Python docstrings:    comment(80, '', '\'\'\'', '\'\'\'')
-    '''
-
-    tw = TextWrapper(width=wrap-len(escape))
-    if escape_first:
-        escape_first = escape_first+'\n'
-    if escape_last:
-        escape_last = '\n'+escape_last
-    escapn = '\n'+escape
-    lines  = text.split('\n')
-    wlines = (tw.wrap(line) for line in lines)
-    return escape_first+escape+escapn.join(escapn.join(line) for line in wlines)+escape_last
diff --git a/modules/matlab/generator/gen_matlab.py b/modules/matlab/generator/gen_matlab.py
deleted file mode 100644
index 36d588c92a..0000000000
--- a/modules/matlab/generator/gen_matlab.py
+++ /dev/null
@@ -1,198 +0,0 @@
-#!/usr/bin/env python
-import sys, re, os, time
-from string import Template
-from parse_tree import ParseTree, todict, constants
-from filters import *
-
-class MatlabWrapperGenerator(object):
-    """
-    MatlabWrapperGenerator is a class for generating Matlab mex sources from
-    a set of C++ headers. MatlabWrapperGenerator objects can be default
-    constructed. Given an instance, the gen() method performs the translation.
-    """
-
-    def gen(self, module_root, modules, extras, output_dir):
-        """
-        Generate a set of Matlab mex source files by parsing exported symbols
-        in a set of C++ headers. The headers can be input in one (or both) of
-        two methods:
-        1. specify module_root and modules
-           Given a path to the OpenCV module root and a list of module names,
-           the headers to parse are implicitly constructed.
-        2. specifiy header locations explicitly in extras
-           Each element in the list of extras must be of the form:
-           'namespace=/full/path/to/extra/header.hpp' where 'namespace' is
-           the namespace in which the definitions should be added.
-        The output_dir specifies the directory to write the generated sources
-        to.
-        """
-        # dynamically import the parsers
-        from jinja2 import Environment, FileSystemLoader
-        import hdr_parser
-        import rst_parser
-
-        # parse each of the files and store in a dictionary
-        # as a separate "namespace"
-        parser = hdr_parser.CppHeaderParser()
-        rst    = rst_parser.RstParser(parser)
-        rst_parser.verbose = False
-        rst_parser.show_warnings = False
-        rst_parser.show_errors = False
-        rst_parser.show_critical_errors = False
-
-        ns  = dict((key, []) for key in modules)
-        doc = dict((key, []) for key in modules)
-        path_template = Template('${module}/include/opencv2/${module}.hpp')
-
-        for module in modules:
-            # construct a header path from the module root and a path template
-            header = os.path.join(module_root, path_template.substitute(module=module))
-            # parse the definitions
-            ns[module] = parser.parse(header)
-            # parse the documentation
-            rst.parse(module, os.path.join(module_root, module))
-            doc[module] = rst.definitions
-            rst.definitions = {}
-
-        for extra in extras:
-            module = extra.split("=")[0]
-            header = extra.split("=")[1]
-            ns[module] = ns[module] + parser.parse(header) if module in ns else parser.parse(header)
-
-        # cleanify the parser output
-        parse_tree = ParseTree()
-        parse_tree.build(ns)
-
-        # setup the template engine
-        template_dir = os.path.join(os.path.dirname(__file__), 'templates')
-        jtemplate    = Environment(loader=FileSystemLoader(template_dir), trim_blocks=True, lstrip_blocks=True)
-
-        # add the custom filters
-        jtemplate.filters['formatMatlabConstant'] = formatMatlabConstant
-        jtemplate.filters['convertibleToInt'] = convertibleToInt
-        jtemplate.filters['toUpperCamelCase'] = toUpperCamelCase
-        jtemplate.filters['toLowerCamelCase'] = toLowerCamelCase
-        jtemplate.filters['toUnderCase'] = toUnderCase
-        jtemplate.filters['matlabURL'] = matlabURL
-        jtemplate.filters['stripTags'] = stripTags
-        jtemplate.filters['filename'] = filename
-        jtemplate.filters['comment']  = comment
-        jtemplate.filters['inputs']   = inputs
-        jtemplate.filters['ninputs'] = ninputs
-        jtemplate.filters['outputs']  = outputs
-        jtemplate.filters['noutputs'] = noutputs
-        jtemplate.filters['qualify'] = qualify
-        jtemplate.filters['slugify'] = slugify
-        jtemplate.filters['only'] = only
-        jtemplate.filters['void'] = void
-        jtemplate.filters['not'] = flip
-
-        # load the templates
-        tfunction  = jtemplate.get_template('template_function_base.cpp')
-        tclassm    = jtemplate.get_template('template_class_base.m')
-        tclassc    = jtemplate.get_template('template_class_base.cpp')
-        tdoc       = jtemplate.get_template('template_doc_base.m')
-        tconst     = jtemplate.get_template('template_map_base.m')
-
-        # create the build directory
-        output_source_dir  = output_dir+'/src'
-        output_private_dir = output_source_dir+'/private'
-        output_class_dir   = output_dir+'/+cv'
-        output_map_dir     = output_dir+'/map'
-        if not os.path.isdir(output_source_dir):
-          os.makedirs(output_source_dir)
-        if not os.path.isdir(output_private_dir):
-          os.makedirs(output_private_dir)
-        if not os.path.isdir(output_class_dir):
-          os.makedirs(output_class_dir)
-        if not os.path.isdir(output_map_dir):
-          os.makedirs(output_map_dir)
-
-        # populate templates
-        for namespace in parse_tree.namespaces:
-            # functions
-            for method in namespace.methods:
-                populated = tfunction.render(fun=method, time=time, includes=namespace.name)
-                with open(output_source_dir+'/'+method.name+'.cpp', 'wb') as f:
-                    f.write(populated.encode('utf-8'))
-                if namespace.name in doc and method.name in doc[namespace.name]:
-                    populated = tdoc.render(fun=method, doc=doc[namespace.name][method.name], time=time)
-                    with open(output_class_dir+'/'+method.name+'.m', 'wb') as f:
-                        f.write(populated.encode('utf-8'))
-            # classes
-            for clss in namespace.classes:
-                # cpp converter
-                populated = tclassc.render(clss=clss, time=time)
-                with open(output_private_dir+'/'+clss.name+'Bridge.cpp', 'wb') as f:
-                    f.write(populated.encode('utf-8'))
-                # matlab classdef
-                populated = tclassm.render(clss=clss, time=time)
-                with open(output_class_dir+'/'+clss.name+'.m', 'wb') as f:
-                    f.write(populated.encode('utf-8'))
-
-        # create a global constants lookup table
-        const = dict(constants(todict(parse_tree.namespaces)))
-        populated = tconst.render(constants=const, time=time)
-        with open(output_dir+'/cv.m', 'wb') as f:
-            f.write(populated.encode('utf-8'))
-
-
-if __name__ == "__main__":
-    """
-    Usage: python gen_matlab.py --jinja2 /path/to/jinja2/engine
-                                --hdrparser /path/to/hdr_parser/dir
-                                --rstparser /path/to/rst_parser/dir
-                                --moduleroot /path/to/opencv/modules
-                                --modules [core imgproc objdetect etc]
-                                --extra namespace=/path/to/extra/header.hpp
-                                --outdir /path/to/output/generated/srcs
-
-    gen_matlab.py is the main control script for generating matlab source
-    files from given set of headers. Internally, gen_matlab:
-      1. constructs the headers to parse from the module root and list of modules
-      2. parses the headers using CppHeaderParser
-      3. refactors the definitions using ParseTree
-      4. parses .rst docs using RstParser
-      5. populates the templates for classes, function, enums and docs from the
-         definitions
-
-    gen_matlab.py requires the following inputs:
-    --jinja2       the path to the Jinja2 templating engine
-                   e.g. ${CMAKE_SOURCE_DIR}/3rdparty
-    --hdrparser    the path to the header parser directory
-                   (opencv/modules/python/src2)
-    --rstparser    the path to the rst parser directory
-                   (opencv/modules/java/generator)
-    --moduleroot   (optional) path to the opencv directory containing the modules
-    --modules      (optional - required if --moduleroot specified) the modules
-                   to produce bindings for. The path to the include directories
-                   as well as the namespaces are constructed from the modules
-                   and the moduleroot
-    --extra        extra headers explicitly defined to parse. This must be in
-                   the format "namepsace=/path/to/extra/header.hpp". For example,
-                   the core module requires the extra header:
-                   "core=/opencv/modules/core/include/opencv2/core/core/base.hpp"
-    --outdir       the output directory to put the generated matlab sources. In
-                   the OpenCV build this is "${CMAKE_CURRENT_BUILD_DIR}/src"
-    """
-
-    # parse the input options
-    from argparse import ArgumentParser
-    parser = ArgumentParser()
-    parser.add_argument('--jinja2')
-    parser.add_argument('--hdrparser')
-    parser.add_argument('--rstparser')
-    parser.add_argument('--moduleroot', default='', required=False)
-    parser.add_argument('--modules', nargs='*', default=[], required=False)
-    parser.add_argument('--extra', nargs='*', default=[], required=False)
-    parser.add_argument('--outdir')
-    args = parser.parse_args()
-
-    # add the hdr_parser and rst_parser modules to the path
-    sys.path.append(args.jinja2)
-    sys.path.append(args.hdrparser)
-    sys.path.append(args.rstparser)
-
-    # create the generator
-    mwg = MatlabWrapperGenerator()
-    mwg.gen(args.moduleroot, args.modules, args.extra, args.outdir)
diff --git a/modules/matlab/generator/parse_tree.py b/modules/matlab/generator/parse_tree.py
deleted file mode 100644
index a6a146a55f..0000000000
--- a/modules/matlab/generator/parse_tree.py
+++ /dev/null
@@ -1,359 +0,0 @@
-import collections
-from textwrap import fill
-from filters import *
-try:
-  # Python 2.7+
-  basestring
-except NameError:
-  # Python 3.3+
-  basestring = str
-
-class ParseTree(object):
-    """
-    The ParseTree class produces a semantic tree of C++ definitions given
-    the output of the CppHeaderParser (from opencv/modules/python/src2/hdr_parser.py)
-
-    The full hierarchy is as follows:
-
-      Namespaces
-        |
-        |- name
-        |- Classes
-            |
-            |- name
-            |- Methods
-            |- Constants
-        |- Methods
-            |
-            |- name
-            |- static (T/F)
-            |- return type
-            |- required Arguments
-                |
-                |- name
-                |- const (T/F)
-                |- reference ('&'/'*')
-                |- type
-                |- input
-                |- output (pass return by reference)
-                |- default value
-            |- optional Arguments
-        |- Constants
-            |
-            |- name
-            |- const (T/F)
-            |- reference ('&'/'*')
-            |- type
-            |- value
-
-    The semantic tree contains substantial information for easily introspecting
-    information about objects. How many methods does the 'core' namespace have?
-    Does the 'randn' method have any return by reference (output) arguments?
-    How many required and optional arguments does the 'add' method have? Is the
-    variable passed by reference or raw pointer?
-
-    Individual definitions from the parse tree (Classes, Functions, Constants)
-    are passed to the Jinja2 template engine where they are manipulated to
-    produce Matlab mex sources.
-
-    A common call tree for constructing and using a ParseTree object is:
-
-      # parse a set of definitions into a dictionary of namespaces
-      parser = CppHeaderParser()
-      ns['core'] = parser.parse('path/to/opencv/core.hpp')
-
-      # refactor into a semantic tree
-      parse_tree = ParseTree()
-      parse_tree.build(ns)
-
-      # iterate over the tree
-      for namespace in parse_tree.namespaces:
-        for clss in namespace.classes:
-          # do stuff
-        for method in namespace.methods:
-          # do stuff
-
-    Calling 'print' on a ParseTree object will reconstruct the definitions
-    to produce an output resembling the original C++ code.
-    """
-    def __init__(self, namespaces=None):
-        self.namespaces = namespaces if namespaces else []
-
-    def __str__(self):
-        return '\n\n\n'.join(ns.__str__() for ns in self.namespaces)
-
-    def build(self, namespaces):
-        babel = Translator()
-        for name, definitions in namespaces.items():
-            class_tree = {}
-            methods = []
-            constants = []
-            for defn in definitions:
-                obj = babel.translate(defn)
-                if obj is None:
-                    continue
-                if type(obj) is Class or obj.clss:
-                    self.insertIntoClassTree(obj, class_tree)
-                elif type(obj) is Method:
-                    methods.append(obj)
-                elif type(obj) is Constant:
-                    constants.append(obj)
-                else:
-                    raise TypeError('Unexpected object type: '+str(type(obj)))
-            self.namespaces.append(Namespace(name, constants, list(class_tree.values()), methods))
-
-    def insertIntoClassTree(self, obj, class_tree):
-        cname = obj.name if type(obj) is Class else obj.clss
-        if not cname:
-            return
-        if not cname in class_tree:
-          # add a new class to the tree
-            class_tree[cname] = Class(cname)
-        # insert the definition into the class
-        val = class_tree[cname]
-        if type(obj) is Method:
-            val.methods.append(obj)
-        elif type(obj) is Constant:
-            val.constants.append(obj)
-        else:
-            raise TypeError('Unexpected object type: '+str(type(obj)))
-
-
-
-class Translator(object):
-    """
-    The Translator class does the heavy lifting of translating the nested
-    list representation of the hdr_parser into individual definitions that
-    are inserted into the ParseTree.
-    Translator consists of a top-level method: translate()
-    along with a number of helper methods: translateClass(), translateMethod(),
-    translateArgument(), translateConstant(), translateName(), and
-    translateClassName()
-    """
-    def translate(self, defn):
-        # --- class ---
-        # classes have 'class' prefixed on their name
-        if 'class' in defn[0].split(' ') or 'struct' in defn[0].split(' '):
-            return self.translateClass(defn)
-        # --- operators! ---
-        #TODO: implement operators: http://www.mathworks.com.au/help/matlab/matlab_oop/implementing-operators-for-your-class.html
-        if 'operator' in defn[0]:
-            return
-        # --- constant ---
-        elif convertibleToInt(defn[1]):
-            return self.translateConstant(defn)
-        # --- function ---
-        # functions either need to have input arguments, or not uppercase names
-        elif defn[3] or not self.translateName(defn[0]).split('_')[0].isupper():
-            return self.translateMethod(defn)
-        # --- constant ---
-        else:
-            return self.translateConstant(defn)
-
-    def translateClass(self, defn):
-        return Class()
-
-    def translateMethod(self, defn, class_tree=None):
-        name = self.translateName(defn[0])
-        clss = self.translateClassName(defn[0])
-        rtp  = defn[1]
-        static = True if 'S' in ''.join(defn[2]) else False
-        args = defn[3]
-        req  = []
-        opt = []
-        for arg in args:
-            if arg:
-                a = self.translateArgument(arg)
-                opt.append(a) if a.default else req.append(a)
-        return Method(name, clss, static, '', rtp, False, req, opt)
-
-    def translateConstant(self, defn):
-        const = True if 'const' in defn[0] else False
-        name  = self.translateName(defn[0])
-        clss  = self.translateClassName(defn[0])
-        tp    = 'int'
-        val   = defn[1]
-        return Constant(name, clss, tp, const, '', val)
-
-    def translateArgument(self, defn):
-        ref   = '*' if '*' in defn[0] else ''
-        ref   = '&' if '&' in defn[0] else ref
-        const = ' const ' in ' '+defn[0]+' '
-        tp    = " ".join([word for word in defn[0].replace(ref, '').split() if not ' const ' in ' '+word+' '])
-        name = defn[1]
-        default = defn[2] if defn[2] else ''
-        modifiers = ''.join(defn[3])
-        I = True if not modifiers or 'I' in modifiers else False
-        O = True if 'O' in modifiers else False
-        return Argument(name, tp, const, I, O, ref, default)
-
-    def translateName(self, name):
-        return name.split(' ')[-1].split('.')[-1]
-
-    def translateClassName(self, name):
-        name  = name.split(' ')[-1]
-        parts = name.split('.')
-        return parts[-2] if len(parts) > 1 and not parts[-2] == 'cv' else ''
-
-
-
-class Namespace(object):
-    """
-    Namespace
-      |
-      |- name
-      |- Constants
-      |- Methods
-      |- Constants
-    """
-    def __init__(self, name='', constants=None, classes=None, methods=None):
-        self.name = name
-        self.constants = constants if constants else []
-        self.classes   = classes   if classes   else []
-        self.methods = methods if methods else []
-
-    def __str__(self):
-        return 'namespace '+self.name+' {\n\n'+\
-          ('\n'.join(c.__str__() for c in self.constants)+'\n\n' if self.constants else '')+\
-          ('\n'.join(f.__str__() for f in self.methods)+'\n\n'   if self.methods   else '')+\
-          ('\n\n'.join(o.__str__() for o in self.classes)        if self.classes   else '')+'\n};'
-
-class Class(object):
-    """
-    Class
-      |
-      |- name
-      |- Methods
-      |- Constants
-    """
-    def __init__(self, name='', namespace='', constants=None, methods=None):
-        self.name = name
-        self.namespace = namespace
-        self.constants = constants if constants else []
-        self.methods = methods if methods else []
-
-    def __str__(self):
-        return 'class '+self.name+' {\n\t'+\
-          ('\n\t'.join(c.__str__() for c in self.constants)+'\n\n\t' if self.constants else '')+\
-          ('\n\t'.join(f.__str__() for f in self.methods)            if self.methods   else '')+'\n};'
-
-class Method(object):
-    """
-    Method
-    int VideoWriter::read( cv::Mat& frame, const cv::Mat& mask=cv::Mat() );
-    ---    -----     ----     --------           ----------------
-    rtp    class     name     required               optional
-
-    name      the method name
-    clss      the class the method belongs to ('' if free)
-    static    static?
-    namespace the namespace the method belongs to ('' if free)
-    rtp       the return type
-    const     const?
-    req       list of required arguments
-    opt       list of optional arguments
-    """
-    def __init__(self, name='', clss='', static=False, namespace='', rtp='', const=False, req=None, opt=None):
-        self.name  = name
-        self.clss  = clss
-        self.constructor = True if name == clss else False
-        self.static = static
-        self.const = const
-        self.namespace = namespace
-        self.rtp = rtp
-        self.req = req if req else []
-        self.opt = opt if opt else []
-
-    def __str__(self):
-        return (self.rtp+' ' if self.rtp else '')+self.name+'('+\
-          ', '.join(arg.__str__() for arg in self.req+self.opt)+\
-          ')'+(' const' if self.const else '')+';'
-
-class Argument(object):
-    """
-    Argument
-    const cv::Mat&  mask=cv::Mat()
-    -----  ---- --- ----  -------
-    const   tp  ref name  default
-
-    name    the argument name
-    tp      the argument type
-    const   const?
-    I       is the argument treated as an input?
-    O       is the argument treated as an output (return by reference)
-    ref     is the argument passed by reference? ('*'/'&')
-    default the default value of the argument ('' if required)
-    """
-    def __init__(self, name='', tp='', const=False, I=True, O=False, ref='', default=''):
-        self.name = name
-        self.tp   = tp
-        self.ref  = ref
-        self.I    = I
-        self.O    = O
-        self.const = const
-        self.default = default
-
-    def __str__(self):
-        return ('const ' if self.const else '')+self.tp+self.ref+\
-                ' '+self.name+('='+self.default if self.default else '')
-
-class Constant(object):
-    """
-    Constant
-    DFT_COMPLEX_OUTPUT = 12;
-         ----          -------
-         name          default
-
-    name    the name of the constant
-    clss    the class that the constant belongs to ('' if free)
-    tp      the type of the constant ('' if int)
-    const   const?
-    ref     is the constant a reference? ('*'/'&')
-    default default value, required for constants
-    """
-    def __init__(self, name='', clss='', tp='', const=False, ref='', default=''):
-        self.name = name
-        self.clss = clss
-        self.tp   = tp
-        self.ref  = ref
-        self.const = const
-        self.default = default
-
-    def __str__(self):
-        return ('const ' if self.const else '')+self.tp+self.ref+\
-                ' '+self.name+('='+self.default if self.default else '')+';'
-
-def constants(tree):
-    """
-    recursive generator to strip all Constant objects from the ParseTree
-    and place them into a flat dictionary of { name, value (default) }
-    """
-    if isinstance(tree, dict) and 'constants' in tree and isinstance(tree['constants'], list):
-        for node in tree['constants']:
-            yield (node['name'], node['default'])
-    if isinstance(tree, dict):
-        for key, val in tree.items():
-            for gen in constants(val):
-                yield gen
-    if isinstance(tree, list):
-        for val in tree:
-            for gen in constants(val):
-                yield gen
-
-
-def todict(obj):
-    """
-    Recursively convert a Python object graph to sequences (lists)
-    and mappings (dicts) of primitives (bool, int, float, string, ...)
-    """
-    if isinstance(obj, basestring):
-        return obj
-    elif isinstance(obj, dict):
-        return dict((key, todict(val)) for key, val in obj.items())
-    elif isinstance(obj, collections.Iterable):
-        return [todict(val) for val in obj]
-    elif hasattr(obj, '__dict__'):
-        return todict(vars(obj))
-    elif hasattr(obj, '__slots__'):
-        return todict(dict((name, getattr(obj, name)) for name in getattr(obj, '__slots__')))
-    return obj
diff --git a/modules/matlab/generator/templates/__init__.py b/modules/matlab/generator/templates/__init__.py
deleted file mode 100644
index e69de29bb2..0000000000
diff --git a/modules/matlab/generator/templates/functional.cpp b/modules/matlab/generator/templates/functional.cpp
deleted file mode 100644
index b019a13003..0000000000
--- a/modules/matlab/generator/templates/functional.cpp
+++ /dev/null
@@ -1,149 +0,0 @@
-/*
- * compose
- * compose a function call
- * This macro takes as input a Method object and composes
- * a function call by inspecting the types and argument names
- */
-{% macro compose(fun) %}
-  {# ----------- Return type ------------- #}
-  {%- if not fun.rtp|void and not fun.constructor -%} retval = {% endif -%}
-  {%- if fun.constructor -%}{{fun.clss}} obj = {% endif -%}
-  {%- if fun.clss and not fun.constructor -%}inst.{%- else -%} cv:: {%- endif -%}
-  {{fun.name}}(
-  {#- ----------- Required ------------- -#}
-  {%- for arg in fun.req -%}
-    {%- if arg.ref == '*' -%}&{%- endif -%}
-    {{arg.name}}
-    {%- if not loop.last %}, {% endif %}
-  {% endfor %}
-  {#- ----------- Optional ------------- -#}
-  {% if fun.req and fun.opt %}, {% endif %}
-  {%- for opt in fun.opt -%}
-    {%- if opt.ref == '*' -%}&{%- endif -%}
-    {{opt.name}}
-    {%- if not loop.last -%}, {% endif %}
-  {%- endfor -%}
-  );
-{%- endmacro %}
-
-
-/*
- * composeMatlab
- * compose a Matlab function call
- * This macro takes as input a Method object and composes
- * a Matlab function call by inspecting the types and argument names
- */
-{% macro composeMatlab(fun) %}
-  {# ----------- Return type ------------- #}
-  {%- if fun|noutputs > 1 -%}[{% endif -%}
-  {%- if not fun.rtp|void -%}LVALUE{% endif -%}
-  {%- if not fun.rtp|void and fun|noutputs > 1 -%},{% endif -%}
-  {# ------------- Outputs ------------- -#}
-  {%- for arg in fun.req|outputs + fun.opt|outputs -%}
-    {{arg.name}}
-    {%- if arg.I -%}_out{%- endif -%}
-    {%- if not loop.last %}, {% endif %}
-  {% endfor %}
-  {%- if fun|noutputs > 1 -%}]{% endif -%}
-  {%- if fun|noutputs %} = {% endif -%}
-  cv.{{fun.name}}(
-  {#- ------------ Inputs -------------- -#}
-  {%- for arg in fun.req|inputs + fun.opt|inputs -%}
-    {{arg.name}}
-    {%- if arg.O -%}_in{%- endif -%}
-    {%- if not loop.last %}, {% endif -%}
-  {% endfor -%}
-  );
-{%- endmacro %}
-
-
-/*
- * composeVariant
- * compose a variant call for the ArgumentParser
- */
-{% macro composeVariant(fun) %}
-addVariant("{{ fun.name }}", {{ fun.req|inputs|length }}, {{ fun.opt|inputs|length }}
-{%- if fun.opt|inputs|length %}, {% endif -%}
-{%- for arg in fun.opt|inputs -%}
-  "{{arg.name}}"
-  {%- if not loop.last %}, {% endif -%}
-{% endfor -%}
-)
-{%- endmacro %}
-
-
-/*
- * composeWithExceptionHandler
- * compose a function call wrapped in exception traps
- * This macro takes an input a Method object and composes a function
- * call through the compose() macro, then wraps the return in traps
- * for cv::Exceptions, std::exceptions, and all generic exceptions
- * and returns a useful error message to the Matlab interpreter
- */
-{%- macro composeWithExceptionHandler(fun) -%}
-  // call the opencv function
-  // [out =] namespace.fun(src1, ..., srcn, dst1, ..., dstn, opt1, ..., optn);
-  try {
-    {{ compose(fun) }}
-  } catch(cv::Exception& e) {
-    error(std::string("cv::exception caught: ").append(e.what()).c_str());
-  } catch(std::exception& e) {
-    error(std::string("std::exception caught: ").append(e.what()).c_str());
-  } catch(...) {
-    error("Uncaught exception occurred in {{fun.name}}");
-  }
-{%- endmacro %}
-
-
-/*
- * handleInputs
- * unpack input arguments from the Bridge
- * Given an input Bridge object, this unpacks the object from the Bridge and
- * casts them into the correct type
- */
-{%- macro handleInputs(fun) %}
-
-  {% if fun|ninputs or (fun|noutputs and not fun.constructor) %}
-  // unpack the arguments
-  {# ----------- Inputs ------------- #}
-  {% for arg in fun.req|inputs %}
-  {{arg.tp}} {{arg.name}} = inputs[{{ loop.index0 }}].to{{arg.tp|toUpperCamelCase}}();
-  {% endfor %}
-  {% for opt in fun.opt|inputs %}
-  {{opt.tp}} {{opt.name}} = inputs[{{loop.index0 + fun.req|inputs|length}}].empty() ? ({{opt.tp}}) {% if opt.ref == '*' -%} {{opt.tp}}() {%- else -%} {{opt.default}} {%- endif %} : inputs[{{loop.index0 + fun.req|inputs|length}}].to{{opt.tp|toUpperCamelCase}}();
-  {% endfor %}
-  {# ----------- Outputs ------------ #}
-  {% for arg in fun.req|only|outputs %}
-  {{arg.tp}} {{arg.name}};
-  {% endfor %}
-  {% for opt in fun.opt|only|outputs %}
-  {{opt.tp}} {{opt.name}};
-  {% endfor %}
-  {% if not fun.rtp|void and not fun.constructor %}
-  {{fun.rtp}} retval;
-  {% endif %}
-  {% endif %}
-
-{%- endmacro %}
-
-/*
- * handleOutputs
- * pack outputs into the bridge
- * Given a set of outputs, this methods assigns them into the bridge for
- * return to the calling method
- */
-{%- macro handleOutputs(fun) %}
-
-  {% if fun|noutputs %}
-  // assign the outputs into the bridge
-  {% if not fun.rtp|void and not fun.constructor %}
-  outputs[0] = retval;
-  {% endif %}
-  {% for arg in fun.req|outputs %}
-  outputs[{{loop.index0 + fun.rtp|void|not}}] = {{arg.name}};
-  {% endfor %}
-  {% for opt in fun.opt|outputs %}
-  outputs[{{loop.index0 + fun.rtp|void|not + fun.req|outputs|length}}] = {{opt.name}};
-  {% endfor %}
-  {% endif %}
-{%- endmacro %}
diff --git a/modules/matlab/generator/templates/template_build_info.m b/modules/matlab/generator/templates/template_build_info.m
deleted file mode 100644
index 8af0a34208..0000000000
--- a/modules/matlab/generator/templates/template_build_info.m
+++ /dev/null
@@ -1,41 +0,0 @@
-function buildInformation()
-%CV.BUILDINFORMATION display OpenCV Toolbox build information
-%
-%   Call CV.BUILDINFORMATION() to get a printout of diagonstic information
-%   pertaining to your particular build of the OpenCV Toolbox. If you ever
-%   run into issues with the Toolbox, it is useful to submit this
-%   information alongside a bug report to the OpenCV team.
-%
-%   Copyright {{ time.strftime("%Y", time.localtime()) }} The OpenCV Foundation
-%
-info = {
-'  ------------------------------------------------------------------------'
-'                              <strong>OpenCV Toolbox</strong>'
-'                     Build and diagnostic information'
-'  ------------------------------------------------------------------------'
-''
-'  <strong>Platform</strong>'
-'  OS:            {{ build.os }}'
-'  Architecture:  {{ build.arch[0] }}-bit {{ build.arch[1] }}'
-'  Compiler:      {{ build.compiler | csv(' ') }}'
-''
-'  <strong>Matlab</strong>'
-['  Version:       ' version()]
-['  Mex extension: ' mexext()]
-'  Architecture:  {{ build.mex_arch }}'
-'  Mex path:      {{ build.mex_script }}'
-'  Mex flags:     {{ build.mex_opts | csv(' ') }}'
-'  CXX flags:     {{ build.cxx_flags | csv(' ') | stripExtraSpaces | wordwrap(60, True, '\'\n\'                 ') }}'
-''
-'  <strong>OpenCV</strong>'
-'  Version:       {{ build.opencv_version }}'
-'  Commit:        {{ build.commit }}'
-'  Configuration: {{ build.configuration }}'
-'  Modules:       {{ build.modules | csv | wordwrap(60, True, '\'\n\'                 ') }}'
-''
-};
-
-info = cellfun(@(x) [x '\n'], info, 'UniformOutput', false);
-info = horzcat(info{:});
-fprintf(info);
-end
diff --git a/modules/matlab/generator/templates/template_class_base.cpp b/modules/matlab/generator/templates/template_class_base.cpp
deleted file mode 100644
index 09e0a08702..0000000000
--- a/modules/matlab/generator/templates/template_class_base.cpp
+++ /dev/null
@@ -1,98 +0,0 @@
-{% import 'functional.cpp' as functional %}
-/*
- * file:   {{clss.name}}Bridge.cpp
- * author: A trusty code generator
- * date:   {{time.strftime("%a, %d %b %Y %H:%M:%S", time.localtime())}}
- *
- * This file was autogenerated, do not modify.
- * See LICENSE for full modification and redistribution details.
- * Copyright {{time.strftime("%Y", time.localtime())}} The OpenCV Foundation
- */
-#include <mex.h>
-#include <vector>
-#include <string>
-#include <opencv2/matlab/map.hpp>
-#include <opencv2/matlab/bridge.hpp>
-#include <opencv2/core.hpp>
-using namespace cv;
-using namespace matlab;
-using namespace bridge;
-
-namespace {
-
-typedef std::vector<Bridge> (*)({{clss.name}}&, const std::vector<Bridge>&) MethodSignature;
-
-{% for function in clss.methods %}
-
-{% if function.constructor %}
-// wrapper for {{function.name}}() constructor
-{{ function.clss }} {{function.name}}(const std::vector<Bridge>& inputs) {
-  {{ functional.handleInputs(function) }}
-  {{ functional.compose(function) }}
-  return obj;
-}
-{% else %}
-// wrapper for {{function.name}}() method
-std::vector<Bridge> {{function.name}}({{clss.name}}& inst, const std::vector<Bridge>& inputs) {
-  std::vector<Bridge> outputs{% if function|noutputs %}({{function|noutputs}}){% endif %};
-  {{ functional.handleInputs(function) }}
-  {{ functional.composeWithExceptionHandler(function) }}
-  {{ functional.handleOutputs(function) }}
-  return outputs;
-}
-{% endif %}
-{% endfor %}
-
-Map<std::string, MethodSignature> createMethodMap() {
-  Map<std::string, MethodSignature> m;
-  {% for function in clss.methods %}
-  m["{{function.name}}"] = &{{function.name}};
-  {% endfor %}
-
-  return m;
-}
-static const Map<std::string, MethodSignature> methods = createMethodMap();
-
-// map of created {{clss.name}} instances. Don't trust the user to keep them safe...
-static Map<void *, {{clss.name}}> instances;
-
-/*
- * {{ clss.name }}
- * Gateway routine
- *   nlhs - number of return arguments
- *   plhs - pointers to return arguments
- *   nrhs - number of input arguments
- *   prhs - pointers to input arguments
- */
-void mexFunction(int nlhs, mxArray* plhs[],
-                 int nrhs, const mxArray* prhs[]) {
-
-  // parse the inputs
-  Bridge method_name(prhs[0]);
-
-  Bridge handle(prhs[1]);
-  std::vector<Bridge> brhs(prhs+2, prhs+nrhs);
-
-  // retrieve the instance of interest
-  try {
-    {{clss.name}}& inst = instances.at(handle.address());
-  } catch (const std::out_of_range& e) {
-    mexErrMsgTxt("Invalid object instance provided");
-  }
-
-  // invoke the correct method on the data
-  try {
-    std::vector<Bridge> blhs = (*methods.at(method_name))(inst, brhs);
-  } catch (const std::out_of_range& e) {
-    mexErrMsgTxt("Unknown method specified");
-  }
-
-  {% block postfun %}
-  {% endblock %}
-
-  {% block cleanup %}
-  {% endblock %}
-
-}
-
-} // end namespace
diff --git a/modules/matlab/generator/templates/template_class_base.m b/modules/matlab/generator/templates/template_class_base.m
deleted file mode 100644
index a199b292a4..0000000000
--- a/modules/matlab/generator/templates/template_class_base.m
+++ /dev/null
@@ -1,31 +0,0 @@
-% {{clss.name | upper}}
-% Matlab handle class for OpenCV object classes
-%
-% This file was autogenerated, do not modify.
-% See LICENSE for full modification and redistribution details.
-% Copyright {{time.strftime("%Y", time.localtime())}} The OpenCV Foundation
-classdef {{clss.name}} < handle
-  properties (SetAccess = private, Hidden = true)
-    ptr_ = 0; % handle to the underlying c++ clss instance
-  end
-
-  methods
-    % constructor
-    function this = {{clss.name}}(varargin)
-      this.ptr_ = {{clss.name}}Bridge('new', varargin{:});
-    end
-
-    % destructor
-    function delete(this)
-      {{clss.name}}Bridge(this.ptr_, 'delete');
-    end
-
-    {% for function in clss.functions %}
-    % {{function.__str__()}}
-    function varargout = {{function.name}}(this, varargin)
-      [varargout{1:nargout}] = {{clss.name}}Bridge('{{function.name}}', this.ptr_, varargin{:});
-    end
-
-    {% endfor %}
-  end
-end
diff --git a/modules/matlab/generator/templates/template_cvmex_base.m b/modules/matlab/generator/templates/template_cvmex_base.m
deleted file mode 100644
index 7afaa2b997..0000000000
--- a/modules/matlab/generator/templates/template_cvmex_base.m
+++ /dev/null
@@ -1,46 +0,0 @@
-function mex(varargin)
-%CV.MEX compile MEX-function with OpenCV linkages
-%
-%   Usage:
-%       CV.MEX [options ...] file [file file ...]
-%
-%   Description:
-%       CV.MEX compiles one or more C/C++ source files into a shared-library
-%       called a mex-file. This function is equivalent to the builtin MEX
-%       routine, with the notable exception that it automatically resolves
-%       OpenCV includes, and links in the OpenCV libraries where appropriate.
-%       It also forwards the flags used to build OpenCV, so architecture-
-%       specific optimizations can be used.
-%
-%       CV.MEX is designed to be used in situations where the source(s) you
-%       are compiling contain OpenCV definitions. In such cases, it streamlines
-%       the finding and including of appropriate OpenCV libraries.
-%
-%   See also: mex
-%
-%   Copyright {{ time.strftime("%Y", time.localtime()) }} The OpenCV Foundation
-%
-
-  % forward the OpenCV build flags (C++ only)
-  EXTRA_FLAGS  = ['"CXXFLAGS="\$CXXFLAGS '...
-                  '{{ cv.flags | trim | wordwrap(60, false, '\'...\n                  \'') }}""'];
-
-  % add the OpenCV include dirs
-  INCLUDE_DIRS = {{ cv.include_dirs | split | cellarray | wordwrap(60, false, '...\n                  ') }};
-
-  % add the lib dir (singular in both build tree and install tree)
-  LIB_DIR      = '{{ cv.lib_dir }}';
-
-  % add the OpenCV libs. Only the used libs will actually be linked
-  LIBS         = {{ cv.libs | split | cellarray | wordwrap(60, false, '...\n                  ') }};
-
-  % add the mex opts (usually at least -largeArrayDims)
-  OPTS         = {{ cv.opts | split | cellarray | wordwrap(60, false, '...\n                  ') }};
-
-  % merge all of the default options (EXTRA_FLAGS, LIBS, etc) and the options
-  % and files passed by the user (varargin) into a single cell array
-  merged       = [ {EXTRA_FLAGS}, INCLUDE_DIRS, {LIB_DIR}, LIBS, OPTS, varargin ];
-
-  % expand the merged argument list into the builtin mex utility
-  mex(merged{:});
-end
diff --git a/modules/matlab/generator/templates/template_doc_base.m b/modules/matlab/generator/templates/template_doc_base.m
deleted file mode 100644
index 3b1f641bfb..0000000000
--- a/modules/matlab/generator/templates/template_doc_base.m
+++ /dev/null
@@ -1,62 +0,0 @@
-{% import 'functional.cpp' as functional %}
-{{ ('CV.' + fun.name | upper + ' ' + doc.brief | stripTags) | comment(75, '%') | matlabURL }}
-%
-%   {{ functional.composeMatlab(fun) | upper }}
-{% if doc.long %}
-{{ doc.long | stripTags | qualify(fun.name) | comment(75, '%   ') | matlabURL }}
-{% endif %}
-%
-{# ----------------------- Returns --------------------- #}
-{% if fun.rtp|void|not or fun.req|outputs|length or fun.opt|outputs|length %}
-%   Returns:
-{% if fun.rtp|void|not %}
-%      LVALUE
-{% endif %}
-{% for arg in fun.req|outputs + fun.opt|outputs %}
-{% set uname = arg.name | upper + ('_OUT' if arg.I else '') %}
-{% if arg.name in doc.params %}
-{{ (uname + ' ' + doc.params[arg.name]) | stripTags | comment(75, '%     ') }}
-{% else %}
-{{ uname }}
-{% endif %}
-{% endfor %}
-%
-{% endif %}
-{# ----------------- Required Inputs ------------------- #}
-{% if fun.req|inputs|length %}
-%   Required Inputs:
-{% for arg in fun.req|inputs %}
-{% set uname = arg.name | upper + ('_IN' if arg.O else '') %}
-{% if arg.name in doc.params %}
-{{ (uname + ' ' + doc.params[arg.name]) | stripTags | comment(75, '%     ') }}
-{% else %}
-{% endif %}
-{% endfor %}
-%
-{% endif %}
-{# ------------------ Optional Inputs ------------------- #}
-{% if fun.opt|inputs|length %}
-%   Optional Inputs:
-{% for arg in fun.opt|inputs %}
-{% set uname = arg.name | upper + ('_IN' if arg.O else '') + ' (default: ' + arg.default + ')' %}
-{% if arg.name in doc.params %}
-{{ (uname + ' ' + doc.params[arg.name]) | stripTags | comment(75, '%     ') }}
-{% else %}
-{{ uname }}
-{% endif %}
-{% endfor %}
-%
-{% endif %}
-{# ---------------------- See also --------------------- #}
-{% if 'seealso' in doc %}
-%   See also: {% for item in doc['seealso'] %}
-cv.{{ item }}{% if not loop.last %}, {% endif %}
-{% endfor %}
-
-%
-{% endif %}
-{# ----------------------- Online ---------------------- #}
-{% set url = 'http://docs.opencv.org/modules/' + doc.module  + '/doc/' + (doc.file|filename) + '.html#' + (fun.name|slugify) %}
-%   Online docs: {{ url | matlabURL }}
-%   Copyright {{ time.strftime("%Y", time.localtime()) }} The OpenCV Foundation
-%
diff --git a/modules/matlab/generator/templates/template_function_base.cpp b/modules/matlab/generator/templates/template_function_base.cpp
deleted file mode 100644
index 9d12ac2d7e..0000000000
--- a/modules/matlab/generator/templates/template_function_base.cpp
+++ /dev/null
@@ -1,60 +0,0 @@
-{% import 'functional.cpp' as functional %}
-/*
- * file:   {{fun.name}}.cpp
- * author: A trusty code generator
- * date:   {{time.strftime("%a, %d %b %Y %H:%M:%S", time.localtime())}}
- *
- * This file was autogenerated, do not modify.
- * See LICENSE for full modification and redistribution details.
- * Copyright {{time.strftime("%Y", time.localtime())}} The OpenCV Foundation
- */
-#include <string>
-#include <vector>
-#include <cassert>
-#include <exception>
-#include <opencv2/matlab/bridge.hpp>
-#include <opencv2/{{includes}}.hpp>
-using namespace cv;
-using namespace matlab;
-using namespace bridge;
-
-/*
- * {{ fun.name }}
- * {{ fun }}
- * Gateway routine
- *   nlhs - number of return arguments
- *   plhs - pointers to return arguments
- *   nrhs - number of input arguments
- *   prhs - pointers to input arguments
- */
-void mexFunction(int nlhs, mxArray*{% if fun|noutputs %} plhs[]{% else %}*{% endif %},
-                 int nrhs, const mxArray*{% if fun|ninputs %} prhs[]{% else %}*{% endif %}) {
-
-  {% if fun|ninputs %}
-  // parse the inputs
-  ArgumentParser parser("{{fun.name}}");
-  parser.{{ functional.composeVariant(fun) }};
-  MxArrayVector sorted = parser.parse(MxArrayVector(prhs, prhs+nrhs));
-  {% endif %}
-
-  {% if fun|ninputs or fun|noutputs %}
-  // setup
-  {% if fun|ninputs %}
-  BridgeVector inputs(sorted.begin(), sorted.end());
-  {% endif -%}
-  {%- if fun|noutputs %}
-  BridgeVector outputs({{fun|noutputs}});
-  {% endif %}
-  {% endif %}
-
-  {{ functional.handleInputs(fun) }}
-  {{ functional.composeWithExceptionHandler(fun) }}
-  {{ functional.handleOutputs(fun) }}
-
-  {% if fun|noutputs %}
-  // push the outputs back to matlab
-  for (size_t n = 0; n < static_cast<size_t>(std::max(nlhs,1)); ++n) {
-    plhs[n] = outputs[n].toMxArray().releaseOwnership();
-  }
-  {% endif %}
-}
diff --git a/modules/matlab/generator/templates/template_map_base.m b/modules/matlab/generator/templates/template_map_base.m
deleted file mode 100644
index 8c653a4854..0000000000
--- a/modules/matlab/generator/templates/template_map_base.m
+++ /dev/null
@@ -1,71 +0,0 @@
-% ------------------------------------------------------------------------
-%                             <strong>OpenCV Toolbox</strong>
-%                  Matlab bindings for the OpenCV library
-% ------------------------------------------------------------------------
-%
-% The OpenCV Toolbox allows you to make calls to native OpenCV methods
-% and classes directly from within Matlab.
-%
-% <strong>PATHS</strong>
-% To call OpenCV methods from anywhere in your workspace, add the
-% directory containing this file to the path:
-%
-%     addpath(fileparts(which('cv')));
-%
-% The OpenCV Toolbox contains two important locations:
-%     cv.m - This file, containing OpenCV enums
-%     +cv/ - The directory containing the OpenCV methods and classes
-%
-% <strong>CALLING SYNTAX</strong>
-% To call an OpenCV method, class or enum, it must be prefixed with the
-% 'cv' qualifier. For example:
-%
-%     % perform a Fourier transform
-%     Xf = cv.dft(X, cv.DFT_COMPLEX_OUTPUT);
-%
-%     % create a VideoCapture object, and open a file
-%     camera = cv.VideoCapture();
-%     camera.open('/path/to/file');
-%
-% You can specify optional arguments by name, similar to how python
-% and many builtin Matlab functions work. For example, the cv.dft
-% method used above has an optional 'nonzeroRows' argument. If
-% you want to specify that, but keep the default 'flags' behaviour,
-% simply call the method as:
-%
-%     Xf = cv.dft(X, 'nonzeroRows', 7);
-%
-% <strong>HELP</strong>
-% Each method has its own help file containing information about the
-% arguments, return values, and what operation the method performs.
-% You can access this help information by typing:
-%
-%     help cv.methodName
-%
-% The full list of methods can be found by inspecting the +cv/
-% directory. Note that the methods available to you will depend
-% on which modules you configured OpenCV to build.
-%
-% <strong>DIAGNOSTICS</strong>
-% If you are having problems with the OpenCV Toolbox and need to send a
-% bug report to the OpenCV team, you can get a printout of diagnostic
-% information to submit along with your report by typing:
-%
-%     <a href="matlab: cv.buildInformation()">cv.buildInformation();</a>
-%
-% <strong>OTHER RESOURCES</strong>
-% OpenCV documentation online: <a href="matlab: web('http://docs.opencv.org', '-browser')">http://docs.opencv.org</a>
-% OpenCV issue tracker: <a href="matlab: web('http://code.opencv.org', '-browser')">http://code.opencv.org</a>
-% OpenCV Q&A: <a href="matlab: web('http://answers.opencv.org', '-browser')">http://answers.opencv.org</a>
-%
-% See also: cv.help, <a href="matlab: cv.buildInformation()">cv.buildInformation</a>
-%
-% Copyright {{ time.strftime("%Y", time.localtime()) }} The OpenCV Foundation
-%
-classdef cv
-    properties (Constant = true)
-    {% for key, val in constants.items() %}
-        {{key}} = {{val|formatMatlabConstant(constants)}};
-    {% endfor %}
-    end
-end
diff --git a/modules/matlab/include/opencv2/matlab/bridge.hpp b/modules/matlab/include/opencv2/matlab/bridge.hpp
deleted file mode 100644
index a98c06a824..0000000000
--- a/modules/matlab/include/opencv2/matlab/bridge.hpp
+++ /dev/null
@@ -1,616 +0,0 @@
-////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this
-//  license. If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote
-//     products derived from this software without specific prior written
-//     permission.
-//
-// This software is provided by the copyright holders and contributors "as is"
-// and any express or implied warranties, including, but not limited to, the
-// implied warranties of merchantability and fitness for a particular purpose
-// are disclaimed. In no event shall the Intel Corporation or contributors be
-// liable for any direct, indirect, incidental, special, exemplary, or
-// consequential damages (including, but not limited to, procurement of
-// substitute goods or services; loss of use, data, or profits; or business
-// interruption) however caused and on any theory of liability, whether in
-// contract, strict liability, or tort (including negligence or otherwise)
-// arising in any way out of the use of this software, even if advised of the
-// possibility of such damage.
-//
-////////////////////////////////////////////////////////////////////////////////
-#ifndef OPENCV_BRIDGE_HPP_
-#define OPENCV_BRIDGE_HPP_
-
-#include "mxarray.hpp"
-#include <vector>
-#include <string>
-#include <opencv2/core.hpp>
-#include <opencv2/imgproc.hpp>
-#include <opencv2/calib3d.hpp>
-#include <opencv2/photo.hpp>
-#include <opencv2/video.hpp>
-
-namespace cv {
-namespace bridge {
-
-/*
- * Custom typedefs
- * Parsed names from the hdr_parser
- */
-typedef std::vector<cv::Mat> vector_Mat;
-typedef std::vector<cv::Point> vector_Point;
-typedef std::vector<int> vector_int;
-typedef std::vector<float> vector_float;
-typedef std::vector<cv::String> vector_String;
-typedef std::vector<unsigned char> vector_uchar;
-typedef std::vector<std::vector<char> > vector_vector_char;
-typedef std::vector<std::vector<cv::DMatch> > vector_vector_DMatch;
-typedef std::vector<cv::Rect> vector_Rect;
-typedef std::vector<cv::KeyPoint> vector_KeyPoint;
-typedef cv::Ptr<cv::StereoBM> Ptr_StereoBM;
-typedef cv::Ptr<cv::StereoSGBM> Ptr_StereoSGBM;
-typedef cv::Ptr<cv::FeatureDetector> Ptr_FeatureDetector;
-typedef cv::Ptr<CLAHE> Ptr_CLAHE;
-typedef cv::Ptr<LineSegmentDetector> Ptr_LineSegmentDetector;
-typedef cv::Ptr<AlignMTB> Ptr_AlignMTB;
-typedef cv::Ptr<CalibrateDebevec> Ptr_CalibrateDebevec;
-typedef cv::Ptr<CalibrateRobertson> Ptr_CalibrateRobertson;
-typedef cv::Ptr<DenseOpticalFlow> Ptr_DenseOpticalFlow;
-typedef cv::Ptr<MergeDebevec> Ptr_MergeDebevec;
-typedef cv::Ptr<MergeMertens> Ptr_MergeMertens;
-typedef cv::Ptr<MergeRobertson> Ptr_MergeRobertson;
-typedef cv::Ptr<Tonemap> Ptr_Tonemap;
-typedef cv::Ptr<TonemapDrago> Ptr_TonemapDrago;
-typedef cv::Ptr<TonemapDurand> Ptr_TonemapDurand;
-typedef cv::Ptr<TonemapMantiuk> Ptr_TonemapMantiuk;
-typedef cv::Ptr<TonemapReinhard> Ptr_TonemapReinhard;
-
-
-// ----------------------------------------------------------------------------
-//                          PREDECLARATIONS
-// ----------------------------------------------------------------------------
-class Bridge;
-typedef std::vector<Bridge> BridgeVector;
-
-template <typename InputScalar, typename OutputScalar>
-void deepCopyAndTranspose(const cv::Mat& src, matlab::MxArray& dst);
-
-template <typename InputScalar, typename OutputScalar>
-void deepCopyAndTranspose(const matlab::MxArray& src, cv::Mat& dst);
-
-
-
-
-// ----------------------------------------------------------------------------
-//                                 BRIDGE
-// ----------------------------------------------------------------------------
-
-/*!
- * @class Bridge
- * @brief Type conversion class for converting OpenCV and native C++ types
- *
- * Bridge provides an interface for converting between OpenCV/C++ types
- * to Matlab's mxArray format.
- *
- * Each type conversion requires three operators:
- *    // conversion from ObjectType --> Bridge
- *    Bridge& operator=(const ObjectType&);
- *    // implicit conversion from Bridge --> ObjectType
- *    operator ObjectType();
- *    // explicit conversion from Bridge --> ObjectType
- *    ObjectType toObjectType();
- *
- * The bridging class provides common conversions between OpenCV types,
- * std and stl types to Matlab's mxArray format. By inheriting Bridge,
- * you can add your own custom type conversions.
- *
- * Because Matlab uses a homogeneous storage type, all operations are provided
- * relative to Matlab's type. That is, Bridge always stores an matlab::MxArray object
- * and converts to and from other object types on demand.
- *
- * NOTE: for the explicit conversion function, the object name must be
- * in UpperCamelCase, for example:
- *    int --> toInt
- *    my_object --> MyObject
- *    my_Object --> MyObject
- *    myObject  --> MyObject
- * this is because the binding generator standardises the calling syntax.
- *
- * Bridge attempts to make as few assumptions as possible, however in
- * some cases where 1-to-1 mappings don't exist, some assumptions are necessary.
- * In particular:
- *  - conversion from of a 2-channel Mat to an mxArray will result in a complex
- *    output
- *  - conversion from multi-channel interleaved Mats will result in
- *    multichannel planar mxArrays
- *
- */
-class Bridge {
-private:
-  matlab::MxArray ptr_;
-public:
-  // bridges are default constructible
-  Bridge() {}
-  virtual ~Bridge() {}
-
-  // --------------------------------------------------------------------------
-  //                         Bridge Properties
-  // --------------------------------------------------------------------------
-  bool empty() const { return ptr_.empty(); }
-
-  /*! @brief unpack an object from Matlab into C++
-   *
-   * this function checks whether the given bridge is derived from an
-   * object in Matlab. If so, it converts it to a (platform dependent)
-   * pointer to the underlying C++ object.
-   *
-   * NOTE! This function assumes that the C++ pointer is stored in inst_
-   */
-  template <typename Object>
-  Object* getObjectByName(const std::string& name) {
-    // check that the object is actually of correct type before unpacking
-    // TODO: Traverse class hierarchy?
-    if (!ptr_.isClass(name)) {
-      matlab::error(std::string("Expected class ").append(std::string(name))
-                        .append(" but was given ").append(ptr_.className()));
-    }
-    // get the instance field
-    matlab::MxArray inst = ptr_.field("inst_");
-    Object* obj = NULL;
-    // make sure the pointer is the correct size for the system
-    if (sizeof(void *) == 8 && inst.ID() == mxUINT64_CLASS) {
-      // 64-bit pointers
-      // TODO: Do we REALLY REALLY need to reinterpret_cast?
-      obj = reinterpret_cast<Object *>(inst.scalar<uint64_t>());
-    } else if (sizeof(void *) == 4 && inst.ID() == mxUINT32_CLASS) {
-      // 32-bit pointers
-      obj = reinterpret_cast<Object *>(inst.scalar<uint32_t>());
-    } else {
-      matlab::error("Incorrect pointer type stored for architecture");
-    }
-
-    // finally check if the object is NULL
-    matlab::conditionalError(obj, std::string("Object ").append(std::string(name)).append(std::string(" is NULL")));
-    return obj;
-  }
-
-
-  // --------------------------------------------------------------------------
-  //                           MATLAB TYPES
-  // --------------------------------------------------------------------------
-  Bridge& operator=(const mxArray* obj) { ptr_ = obj; return *this; }
-  Bridge& operator=(const matlab::MxArray& obj) { ptr_ = obj; return *this; }
-  Bridge(const matlab::MxArray& obj) : ptr_(obj) {}
-  Bridge(const mxArray* obj) : ptr_(obj) {}
-  matlab::MxArray toMxArray() { return ptr_; }
-
-
-  // --------------------------------------------------------------------------
-  //                         MATRIX CONVERSIONS
-  // --------------------------------------------------------------------------
-  Bridge& operator=(const cv::Mat& mat);
-  cv::Mat toMat() const;
-  operator cv::Mat() const { return toMat(); }
-
-  template <typename Scalar>
-  static matlab::MxArray FromMat(const cv::Mat& mat) {
-    matlab::MxArray arr(mat.rows, mat.cols, mat.channels(), matlab::Traits<Scalar>::ScalarType);
-    switch (mat.depth()) {
-      case CV_8U:  deepCopyAndTranspose<uint8_t,  Scalar>(mat, arr); break;
-      case CV_8S:  deepCopyAndTranspose<int8_t,   Scalar>(mat, arr); break;
-      case CV_16U: deepCopyAndTranspose<uint16_t, Scalar>(mat, arr); break;
-      case CV_16S: deepCopyAndTranspose<int16_t,  Scalar>(mat, arr); break;
-      case CV_32S: deepCopyAndTranspose<int32_t,  Scalar>(mat, arr); break;
-      case CV_32F: deepCopyAndTranspose<float,    Scalar>(mat, arr); break;
-      case CV_64F: deepCopyAndTranspose<double,   Scalar>(mat, arr); break;
-      default: matlab::error("Attempted to convert from unknown class");
-    }
-    return arr;
-  }
-
-  template <typename Scalar>
-  cv::Mat toMat() const {
-    cv::Mat mat(ptr_.rows(), ptr_.cols(), CV_MAKETYPE(cv::DataType<Scalar>::type, ptr_.channels()));
-    switch (ptr_.ID()) {
-      case mxINT8_CLASS:    deepCopyAndTranspose<int8_t,   Scalar>(ptr_, mat); break;
-      case mxUINT8_CLASS:   deepCopyAndTranspose<uint8_t,  Scalar>(ptr_, mat); break;
-      case mxINT16_CLASS:   deepCopyAndTranspose<int16_t,  Scalar>(ptr_, mat); break;
-      case mxUINT16_CLASS:  deepCopyAndTranspose<uint16_t, Scalar>(ptr_, mat); break;
-      case mxINT32_CLASS:   deepCopyAndTranspose<int32_t,  Scalar>(ptr_, mat); break;
-      case mxUINT32_CLASS:  deepCopyAndTranspose<uint32_t, Scalar>(ptr_, mat); break;
-      case mxINT64_CLASS:   deepCopyAndTranspose<int64_t,  Scalar>(ptr_, mat); break;
-      case mxUINT64_CLASS:  deepCopyAndTranspose<uint64_t, Scalar>(ptr_, mat); break;
-      case mxSINGLE_CLASS:  deepCopyAndTranspose<float,    Scalar>(ptr_, mat); break;
-      case mxDOUBLE_CLASS:  deepCopyAndTranspose<double,   Scalar>(ptr_, mat); break;
-      case mxCHAR_CLASS:    deepCopyAndTranspose<char,     Scalar>(ptr_, mat); break;
-      case mxLOGICAL_CLASS: deepCopyAndTranspose<int8_t,   Scalar>(ptr_, mat); break;
-      default: matlab::error("Attempted to convert from unknown class");
-    }
-    return mat;
-  }
-
-
-
-  // --------------------------------------------------------------------------
-  //                         INTEGRAL TYPES
-  // --------------------------------------------------------------------------
-
-  // --------------------------- string  --------------------------------------
-  Bridge& operator=(const std::string& ) { return *this; }
-  std::string toString() {
-    return ptr_.toString();
-  }
-  operator std::string() { return toString(); }
-
-  // ---------------------------  bool   --------------------------------------
-  Bridge& operator=(const bool& ) { return *this; }
-  bool toBool() { return 0; }
-  operator bool() { return toBool(); }
-
-  // --------------------------- double  --------------------------------------
-  Bridge& operator=(const double& ) { return *this; }
-  double toDouble() { return ptr_.scalar<double>(); }
-  operator double() { return toDouble(); }
-
-  // --------------------------- float  ---------------------------------------
-  Bridge& operator=(const float& ) { return *this; }
-  float toFloat() { return ptr_.scalar<float>(); }
-  operator float() { return toFloat(); }
-
-  // ---------------------------   int   --------------------------------------
-  Bridge& operator=(const int& ) { return *this; }
-  int toInt() { return ptr_.scalar<int>(); }
-  operator int() { return toInt(); }
-
-
-
-
-
-  // --------------------------------------------------------------------------
-  //                       CORE OPENCV TYPES
-  // --------------------------------------------------------------------------
-
-  // --------------------------   Point  --------------------------------------
-  Bridge& operator=(const cv::Point& ) { return *this; }
-  cv::Point toPoint() const { return cv::Point(); }
-  operator cv::Point() const { return toPoint(); }
-
-  // --------------------------   Point2f  ------------------------------------
-  Bridge& operator=(const cv::Point2f& ) { return *this; }
-  cv::Point2f toPoint2f() const { return cv::Point2f(); }
-  operator cv::Point2f() const { return toPoint2f(); }
-
-  // --------------------------   Point2d  ------------------------------------
-  Bridge& operator=(const cv::Point2d& ) { return *this; }
-  cv::Point2d toPoint2d() const { return cv::Point2d(); }
-  operator cv::Point2d() const { return toPoint2d(); }
-
-  // --------------------------   Size  ---------------------------------------
-  Bridge& operator=(const cv::Size& ) { return *this; }
-  cv::Size toSize() const { return cv::Size(); }
-  operator cv::Size() const { return toSize(); }
-
-  // -------------------------- Moments  --------------------------------------
-  Bridge& operator=(const cv::Moments& ) { return *this; }
-  cv::Moments toMoments() const { return cv::Moments(); }
-  operator cv::Moments() const { return toMoments(); }
-
-  // --------------------------  Scalar  --------------------------------------
-  Bridge& operator=(const cv::Scalar& ) { return *this; }
-  cv::Scalar toScalar() { return cv::Scalar(); }
-  operator cv::Scalar() { return toScalar(); }
-
-  // -------------------------- Rect  -----------------------------------------
-  Bridge& operator=(const cv::Rect& ) { return *this; }
-  cv::Rect toRect() { return cv::Rect(); }
-  operator cv::Rect() { return toRect(); }
-
-  // ---------------------- RotatedRect ---------------------------------------
-  Bridge& operator=(const cv::RotatedRect& ) { return *this; }
-  cv::RotatedRect toRotatedRect() { return cv::RotatedRect(); }
-  operator cv::RotatedRect() { return toRotatedRect(); }
-
-  // ---------------------- TermCriteria --------------------------------------
-  Bridge& operator=(const cv::TermCriteria& ) { return *this; }
-  cv::TermCriteria toTermCriteria() { return cv::TermCriteria(); }
-  operator cv::TermCriteria() { return toTermCriteria(); }
-
-  // ----------------------      RNG     --------------------------------------
-  Bridge& operator=(const cv::RNG& ) { return *this; }
-  /*! @brief explicit conversion to cv::RNG()
-   *
-   * Converts a bridge object to a cv::RNG(). We explicitly assert that
-   * the object is an RNG in matlab space before attempting to deference
-   * its pointer
-   */
-  cv::RNG toRNG() {
-    return (*getObjectByName<cv::RNG>("RNG"));
-  }
-  operator cv::RNG() { return toRNG(); }
-
-
-
-
-
-  // --------------------------------------------------------------------------
-  //                       OPENCV VECTOR TYPES
-  // --------------------------------------------------------------------------
-
-  // -------------------- vector_Mat ------------------------------------------
-  Bridge& operator=(const vector_Mat& ) { return *this; }
-  vector_Mat toVectorMat() { return vector_Mat(); }
-  operator vector_Mat() { return toVectorMat(); }
-
-  // --------------------------- vector_int  ----------------------------------
-  Bridge& operator=(const vector_int& ) { return *this; }
-  vector_int toVectorInt() { return vector_int(); }
-  operator vector_int() { return toVectorInt(); }
-
-  // --------------------------- vector_float  --------------------------------
-  Bridge& operator=(const vector_float& ) { return *this; }
-  vector_float toVectorFloat() { return vector_float(); }
-  operator vector_float() { return toVectorFloat(); }
-
-  // --------------------------- vector_Rect  ---------------------------------
-  Bridge& operator=(const vector_Rect& ) { return *this; }
-  vector_Rect toVectorRect() { return vector_Rect(); }
-  operator vector_Rect() { return toVectorRect(); }
-
-  // --------------------------- vector_KeyPoint  -----------------------------
-  Bridge& operator=(const vector_KeyPoint& ) { return *this; }
-  vector_KeyPoint toVectorKeyPoint() { return vector_KeyPoint(); }
-  operator vector_KeyPoint() { return toVectorKeyPoint(); }
-
-  // --------------------------- vector_String  -------------------------------
-  Bridge& operator=(const vector_String& ) { return *this; }
-  vector_String toVectorString() { return vector_String(); }
-  operator vector_String() { return toVectorString(); }
-
-  // ------------------------ vector_Point ------------------------------------
-  Bridge& operator=(const vector_Point& ) { return *this; }
-  vector_Point toVectorPoint() { return vector_Point(); }
-  operator vector_Point() { return toVectorPoint(); }
-
-  // ------------------------ vector_uchar ------------------------------------
-  Bridge& operator=(const vector_uchar& ) { return *this; }
-  vector_uchar toVectorUchar() { return vector_uchar(); }
-  operator vector_uchar() { return toVectorUchar(); }
-
-  // ------------------------ vector_vector_char ------------------------------
-  Bridge& operator=(const vector_vector_char& ) { return *this; }
-  vector_vector_char toVectorVectorChar() { return vector_vector_char(); }
-  operator vector_vector_char() { return toVectorVectorChar(); }
-
-  // ------------------------ vector_vector_DMatch ---------------------------
-  Bridge& operator=(const vector_vector_DMatch& ) { return *this; }
-  vector_vector_DMatch toVectorVectorDMatch() { return vector_vector_DMatch(); }
-  operator vector_vector_DMatch() { return toVectorVectorDMatch(); }
-
-
-
-
-  // --------------------------------------------------------------------------
-  //                       OPENCV COMPOUND TYPES
-  // --------------------------------------------------------------------------
-
-  // ---------------------------   Ptr_StereoBM   -----------------------------
-  Bridge& operator=(const Ptr_StereoBM& ) { return *this; }
-  Ptr_StereoBM toPtrStereoBM() { return Ptr_StereoBM(); }
-  operator Ptr_StereoBM() { return toPtrStereoBM(); }
-
-  // ---------------------------   Ptr_StereoSGBM   ---------------------------
-  Bridge& operator=(const Ptr_StereoSGBM& ) { return *this; }
-  Ptr_StereoSGBM toPtrStereoSGBM() { return Ptr_StereoSGBM(); }
-  operator Ptr_StereoSGBM() { return toPtrStereoSGBM(); }
-
-  // ---------------------------   Ptr_FeatureDetector   ----------------------
-  Bridge& operator=(const Ptr_FeatureDetector& ) { return *this; }
-  Ptr_FeatureDetector toPtrFeatureDetector() { return Ptr_FeatureDetector(); }
-  operator Ptr_FeatureDetector() { return toPtrFeatureDetector(); }
-
-  // ---------------------------   Ptr_CLAHE   --------------------------------
-  Bridge& operator=(const Ptr_CLAHE& ) { return *this; }
-  Ptr_CLAHE toPtrCLAHE() { return Ptr_CLAHE(); }
-  operator Ptr_CLAHE() { return toPtrCLAHE(); }
-
-  // ---------------------------   Ptr_LineSegmentDetector   ------------------
-  Bridge& operator=(const Ptr_LineSegmentDetector& ) { return *this; }
-  Ptr_LineSegmentDetector toPtrLineSegmentDetector() { return Ptr_LineSegmentDetector(); }
-  operator Ptr_LineSegmentDetector() { return toPtrLineSegmentDetector(); }
-
-  // ---------------------------   Ptr_AlignMTB   -----------------------------
-  Bridge& operator=(const Ptr_AlignMTB& ) { return *this; }
-  Ptr_AlignMTB toPtrAlignMTB() { return Ptr_AlignMTB(); }
-  operator Ptr_AlignMTB() { return toPtrAlignMTB(); }
-
-  // ---------------------------   Ptr_CalibrateDebevec   -------------------
-  Bridge& operator=(const Ptr_CalibrateDebevec& ) { return *this; }
-  Ptr_CalibrateDebevec toPtrCalibrateDebevec() { return Ptr_CalibrateDebevec(); }
-  operator Ptr_CalibrateDebevec() { return toPtrCalibrateDebevec(); }
-
-  // ---------------------------   Ptr_CalibrateRobertson   -------------------
-  Bridge& operator=(const Ptr_CalibrateRobertson& ) { return *this; }
-  Ptr_CalibrateRobertson toPtrCalibrateRobertson() { return Ptr_CalibrateRobertson(); }
-  operator Ptr_CalibrateRobertson() { return toPtrCalibrateRobertson(); }
-
-  // ---------------------------   Ptr_DenseOpticalFlow   -------------------
-  Bridge& operator=(const Ptr_DenseOpticalFlow& ) { return *this; }
-  Ptr_DenseOpticalFlow toPtrDenseOpticalFlow() { return Ptr_DenseOpticalFlow(); }
-  operator Ptr_DenseOpticalFlow() { return toPtrDenseOpticalFlow(); }
-
-  // ---------------------------   Ptr_MergeDebevec   -----------------------
-  Bridge& operator=(const Ptr_MergeDebevec& ) { return *this; }
-  Ptr_MergeDebevec toPtrMergeDebevec() { return Ptr_MergeDebevec(); }
-  operator Ptr_MergeDebevec() { return toPtrMergeDebevec(); }
-
-  // ---------------------------   Ptr_MergeMertens   -----------------------
-  Bridge& operator=(const Ptr_MergeMertens& ) { return *this; }
-  Ptr_MergeMertens toPtrMergeMertens() { return Ptr_MergeMertens(); }
-  operator Ptr_MergeMertens() { return toPtrMergeMertens(); }
-
-  // ---------------------------   Ptr_MergeRobertson   -----------------------
-  Bridge& operator=(const Ptr_MergeRobertson& ) { return *this; }
-  Ptr_MergeRobertson toPtrMergeRobertson() { return Ptr_MergeRobertson(); }
-  operator Ptr_MergeRobertson() { return toPtrMergeRobertson(); }
-
-  // ---------------------------   Ptr_Tonemap   ------------------------------
-  Bridge& operator=(const Ptr_Tonemap& ) { return *this; }
-  Ptr_Tonemap toPtrTonemap() { return Ptr_Tonemap(); }
-  operator Ptr_Tonemap() { return toPtrTonemap(); }
-
-  // ---------------------------   Ptr_TonemapDrago   -------------------------
-  Bridge& operator=(const Ptr_TonemapDrago& ) { return *this; }
-  Ptr_TonemapDrago toPtrTonemapDrago() { return Ptr_TonemapDrago(); }
-  operator Ptr_TonemapDrago() { return toPtrTonemapDrago(); }
-
-  // ---------------------------   Ptr_TonemapDurand   ------------------------
-  Bridge& operator=(const Ptr_TonemapDurand& ) { return *this; }
-  Ptr_TonemapDurand toPtrTonemapDurand() { return Ptr_TonemapDurand(); }
-  operator Ptr_TonemapDurand() { return toPtrTonemapDurand(); }
-
-  // ---------------------------   Ptr_TonemapMantiuk   -----------------------
-  Bridge& operator=(const Ptr_TonemapMantiuk& ) { return *this; }
-  Ptr_TonemapMantiuk toPtrTonemapMantiuk() { return Ptr_TonemapMantiuk(); }
-  operator Ptr_TonemapMantiuk() { return toPtrTonemapMantiuk(); }
-
-  // ---------------------------   Ptr_TonemapReinhard   ----------------------
-  Bridge& operator=(const Ptr_TonemapReinhard& ) { return *this; }
-  Ptr_TonemapReinhard toPtrTonemapReinhard() { return Ptr_TonemapReinhard(); }
-  operator Ptr_TonemapReinhard() { return toPtrTonemapReinhard(); }
-}; // class Bridge
-
-
-
-// --------------------------------------------------------------------------
-//                           SPECIALIZATIONS
-// --------------------------------------------------------------------------
-
-/*!
- * @brief template specialization for inheriting types
- *
- * This template specialization attempts to preserve the best mapping
- * between OpenCV and Matlab types. Matlab uses double types almost universally, so
- * all floating float types are converted to doubles.
- * Unfortunately OpenCV does not have a native logical type, so
- * that gets mapped to an unsigned 8-bit value
- */
-template <>
-matlab::MxArray Bridge::FromMat<matlab::InheritType>(const cv::Mat& mat) {
-  switch (mat.depth()) {
-    case CV_8U:  return FromMat<uint8_t>(mat);
-    case CV_8S:  return FromMat<int8_t>(mat);
-    case CV_16U: return FromMat<uint16_t>(mat);
-    case CV_16S: return FromMat<int16_t>(mat);
-    case CV_32S: return FromMat<int32_t>(mat);
-    case CV_32F: return FromMat<double>(mat); //NOTE: Matlab uses double as native type!
-    case CV_64F: return FromMat<double>(mat);
-    default: matlab::error("Attempted to convert from unknown class");
-  }
-  return matlab::MxArray();
-}
-
-/*!
- * @brief template specialization for inheriting types
- *
- * This template specialization attempts to preserve the best mapping
- * between Matlab and OpenCV types. OpenCV has poor support for double precision
- * types, so all floating point types are cast to float. Logicals get cast
- * to unsignd 8-bit value.
- */
-template <>
-cv::Mat Bridge::toMat<matlab::InheritType>() const {
-  switch (ptr_.ID()) {
-    case mxINT8_CLASS:    return toMat<int8_t>();
-    case mxUINT8_CLASS:   return toMat<uint8_t>();
-    case mxINT16_CLASS:   return toMat<int16_t>();
-    case mxUINT16_CLASS:  return toMat<uint16_t>();
-    case mxINT32_CLASS:   return toMat<int32_t>();
-    case mxUINT32_CLASS:  return toMat<int32_t>();
-    case mxINT64_CLASS:   return toMat<int64_t>();
-    case mxUINT64_CLASS:  return toMat<int64_t>();
-    case mxSINGLE_CLASS:  return toMat<float>();
-    case mxDOUBLE_CLASS:  return toMat<float>(); //NOTE: OpenCV uses float as native type!
-    case mxCHAR_CLASS:    return toMat<int8_t>();
-    case mxLOGICAL_CLASS: return toMat<int8_t>();
-    default: matlab::error("Attempted to convert from unknown class");
-  }
-  return cv::Mat();
-}
-
-Bridge& Bridge::operator=(const cv::Mat& mat) { ptr_ = FromMat<matlab::InheritType>(mat); return *this; }
-cv::Mat Bridge::toMat() const { return toMat<matlab::InheritType>(); }
-
-
-// ----------------------------------------------------------------------------
-//                            MATRIX TRANSPOSE
-// ----------------------------------------------------------------------------
-
-
-template <typename InputScalar, typename OutputScalar>
-void deepCopyAndTranspose(const cv::Mat& in, matlab::MxArray& out) {
-  matlab::conditionalError(static_cast<size_t>(in.rows) == out.rows(), "Matrices must have the same number of rows");
-  matlab::conditionalError(static_cast<size_t>(in.cols) == out.cols(), "Matrices must have the same number of cols");
-  matlab::conditionalError(static_cast<size_t>(in.channels()) == out.channels(), "Matrices must have the same number of channels");
-  std::vector<cv::Mat> channels;
-  cv::split(in, channels);
-  for (size_t c = 0; c < out.channels(); ++c) {
-    cv::transpose(channels[c], channels[c]);
-    cv::Mat outmat(out.cols(), out.rows(), cv::DataType<OutputScalar>::type,
-      static_cast<void *>(out.real<OutputScalar>() + out.cols()*out.rows()*c));
-    channels[c].convertTo(outmat, cv::DataType<OutputScalar>::type);
-  }
-
-  //const InputScalar* inp = in.ptr<InputScalar>(0);
-  //OutputScalar* outp = out.real<OutputScalar>();
-  //gemt('R', out.rows(), out.cols(), inp, in.step1(), outp, out.rows());
-}
-
-template <typename InputScalar, typename OutputScalar>
-void deepCopyAndTranspose(const matlab::MxArray& in, cv::Mat& out) {
-  matlab::conditionalError(in.rows() == static_cast<size_t>(out.rows), "Matrices must have the same number of rows");
-  matlab::conditionalError(in.cols() == static_cast<size_t>(out.cols), "Matrices must have the same number of cols");
-  matlab::conditionalError(in.channels() == static_cast<size_t>(out.channels()), "Matrices must have the same number of channels");
-  std::vector<cv::Mat> channels;
-  for (size_t c = 0; c < in.channels(); ++c) {
-    cv::Mat outmat;
-    cv::Mat inmat(in.cols(), in.rows(), cv::DataType<InputScalar>::type,
-      static_cast<void *>(const_cast<InputScalar *>(in.real<InputScalar>() + in.cols()*in.rows()*c)));
-    inmat.convertTo(outmat, cv::DataType<OutputScalar>::type);
-    cv::transpose(outmat, outmat);
-    channels.push_back(outmat);
-  }
-  cv::merge(channels, out);
-
-  //const InputScalar* inp = in.real<InputScalar>();
-  //OutputScalar* outp = out.ptr<OutputScalar>(0);
-  //gemt('C', in.rows(), in.cols(), inp, in.rows(), outp, out.step1());
-}
-
-
-
-} // namespace bridge
-} // namespace cv
-
-#endif
diff --git a/modules/matlab/include/opencv2/matlab/map.hpp b/modules/matlab/include/opencv2/matlab/map.hpp
deleted file mode 100644
index 4d4fc649cb..0000000000
--- a/modules/matlab/include/opencv2/matlab/map.hpp
+++ /dev/null
@@ -1,91 +0,0 @@
-////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this
-//  license. If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote
-//     products derived from this software without specific prior written
-//     permission.
-//
-// This software is provided by the copyright holders and contributors "as is"
-// and any express or implied warranties, including, but not limited to, the
-// implied warranties of merchantability and fitness for a particular purpose
-// are disclaimed. In no event shall the Intel Corporation or contributors be
-// liable for any direct, indirect, incidental, special, exemplary, or
-// consequential damages (including, but not limited to, procurement of
-// substitute goods or services; loss of use, data, or profits; or business
-// interruption) however caused and on any theory of liability, whether in
-// contract, strict liability, or tort (including negligence or otherwise)
-// arising in any way out of the use of this software, even if advised of the
-// possibility of such damage.
-//
-////////////////////////////////////////////////////////////////////////////////
-#ifndef OPENCV_MAP_HPP_
-#define OPENCV_MAP_HPP_
-
-namespace matlab {
-#if __cplusplus >= 201103L
-
- // If we have C++11 support, we just want to use unordered_map
-#include <unordered_map>
-template <typename KeyType, typename ValueType>
-using Map = std::unordered_map<KeyType, ValueType>;
-
-#else
-
-// If we don't have C++11 support, we wrap another map implementation
-// in the same public API as unordered_map
-#include <map>
-#include <stdexcept>
-
-template <typename KeyType, typename ValueType>
-class Map {
-private:
-  std::map<KeyType, ValueType> map_;
-public:
-  // map[key] = val;
-  ValueType& operator[] (const KeyType& k) {
-    return map_[k];
-  }
-
-  // map.at(key) = val (throws)
-  ValueType& at(const KeyType& k) {
-    typename std::map<KeyType, ValueType>::iterator it;
-    it = map_.find(k);
-    if (it == map_.end()) throw std::out_of_range("Key not found");
-    return *it;
-  }
-
-  // val = map.at(key)  (throws, const)
-  const ValueType& at(const KeyType& k) const {
-    typename std::map<KeyType, ValueType>::const_iterator it;
-    it = map_.find(k);
-    if (it == map_.end()) throw std::out_of_range("Key not found");
-    return *it;
-  }
-};
-
-} // namespace matlab
-
-#endif
-#endif
diff --git a/modules/matlab/include/opencv2/matlab/mxarray.hpp b/modules/matlab/include/opencv2/matlab/mxarray.hpp
deleted file mode 100644
index ba8c64c496..0000000000
--- a/modules/matlab/include/opencv2/matlab/mxarray.hpp
+++ /dev/null
@@ -1,684 +0,0 @@
-////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this
-//  license. If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote
-//     products derived from this software without specific prior written
-//     permission.
-//
-// This software is provided by the copyright holders and contributors "as is"
-// and any express or implied warranties, including, but not limited to, the
-// implied warranties of merchantability and fitness for a particular purpose
-// are disclaimed. In no event shall the Intel Corporation or contributors be
-// liable for any direct, indirect, incidental, special, exemplary, or
-// consequential damages (including, but not limited to, procurement of
-// substitute goods or services; loss of use, data, or profits; or business
-// interruption) however caused and on any theory of liability, whether in
-// contract, strict liability, or tort (including negligence or otherwise)
-// arising in any way out of the use of this software, even if advised of the
-// possibility of such damage.
-//
-////////////////////////////////////////////////////////////////////////////////
-#ifndef OPENCV_MXARRAY_HPP_
-#define OPENCV_MXARRAY_HPP_
-
-#include <mex.h>
-#include <stdint.h>
-#include <cstdarg>
-#include <algorithm>
-#include <string>
-#include <vector>
-#include <sstream>
-#if __cplusplus > 201103
-#include <unordered_set>
-typedef std::unordered_set<std::string> StringSet;
-#else
-#include <set>
-typedef std::set<std::string> StringSet;
-#endif
-
-/*
- * All recent versions of Matlab ship with the MKL library which contains
- * a blas extension called mkl_?omatcopy(). This  defines an out-of-place
- * copy and transpose operation.
- *
- * The mkl library is in ${MATLAB_ROOT}/bin/${MATLAB_MEXEXT}/libmkl...
- * Matlab does not ship headers for the mkl functions, so we define them
- * here.
- *
- */
-#ifdef __cplusplus
-extern "C" {
-#endif
-#ifdef __cplusplus
-}
-#endif
-
-namespace matlab {
-// ----------------------------------------------------------------------------
-//                          PREDECLARATIONS
-// ----------------------------------------------------------------------------
-class MxArray;
-typedef std::vector<MxArray> MxArrayVector;
-
-/*!
- * @brief raise error if condition fails
- *
- * This is a conditional wrapper for mexErrMsgTxt. If the conditional
- * expression fails, an error is raised and the mex function returns
- * to Matlab, otherwise this function does nothing
- */
-static void conditionalError(bool expr, const std::string& str) {
-  if (!expr) mexErrMsgTxt(std::string("condition failed: ").append(str).c_str());
-}
-
-/*!
- * @brief raise an error
- *
- * This function is a wrapper around mexErrMsgTxt
- */
-static void error(const std::string& str) {
-  mexErrMsgTxt(str.c_str());
-}
-
-
-// ----------------------------------------------------------------------------
-//                            MATLAB TRAITS
-// ----------------------------------------------------------------------------
-class DefaultTraits {};
-class InheritType {};
-
-template<typename _Tp = DefaultTraits> class Traits {
-public:
-  static const mxClassID ScalarType = mxUNKNOWN_CLASS;
-  static const mxComplexity Complex = mxCOMPLEX;
-  static const mxComplexity Real    = mxREAL;
-  static std::string ToString()  { return "Unknown/Unsupported"; }
-};
-// bool
-template<> class Traits<bool> {
-public:
-  static const mxClassID ScalarType = mxLOGICAL_CLASS;
-  static std::string ToString()  { return "boolean"; }
-};
-// uint8_t
-template<> class Traits<uint8_t> {
-public:
-  static const mxClassID ScalarType = mxUINT8_CLASS;
-  static std::string ToString()  { return "uint8_t"; }
-};
-// int8_t
-template<> class Traits<int8_t> {
-public:
-  static const mxClassID ScalarType = mxINT8_CLASS;
-  static std::string ToString()  { return "int8_t"; }
-};
-// uint16_t
-template<> class Traits<uint16_t> {
-public:
-  static const mxClassID ScalarType = mxUINT16_CLASS;
-  static std::string ToString()  { return "uint16_t"; }
-};
-// int16_t
-template<> class Traits<int16_t> {
-public:
-  static const mxClassID ScalarType = mxINT16_CLASS;
-  static std::string ToString()  { return "int16_t"; }
-};
-// uint32_t
-template<> class Traits<uint32_t> {
-public:
-  static const mxClassID ScalarType = mxUINT32_CLASS;
-  static std::string ToString()  { return "uint32_t"; }
-};
-// int32_t
-template<> class Traits<int32_t> {
-public:
-  static const mxClassID ScalarType = mxINT32_CLASS;
-  static std::string ToString()  { return "int32_t"; }
-};
-// uint64_t
-template<> class Traits<uint64_t> {
-public:
-  static const mxClassID ScalarType = mxUINT64_CLASS;
-  static std::string ToString()  { return "uint64_t"; }
-};
-// int64_t
-template<> class Traits<int64_t> {
-public:
-  static const mxClassID ScalarType = mxINT64_CLASS;
-  static std::string ToString()  { return "int64_t"; }
-};
-// float
-template<> class Traits<float> {
-public:
-  static const mxClassID ScalarType = mxSINGLE_CLASS;
-  static std::string ToString()  { return "float"; }
-};
-// double
-template<> class Traits<double> {
-public:
-  static const mxClassID ScalarType = mxDOUBLE_CLASS;
-  static std::string ToString()  { return "double"; }
-};
-// char
-template<> class Traits<char> {
-public:
-  static const mxClassID ScalarType = mxCHAR_CLASS;
-  static std::string ToString()  { return "char"; }
-};
-// inherited type
-template<> class Traits<matlab::InheritType> {
-public:
-  static std::string ToString()  { return "Inherited type"; }
-};
-
-
-
-// ----------------------------------------------------------------------------
-//                                MXARRAY
-// ----------------------------------------------------------------------------
-
-
-/*!
- * @class MxArray
- * @brief A thin wrapper around Matlab's mxArray types
- *
- * MxArray provides a thin object oriented wrapper around Matlab's
- * native mxArray type which exposes most of the functionality of the
- * Matlab interface, but in a more C++ manner. MxArray objects are scoped,
- * so you can freely create and destroy them without worrying about memory
- * management. If you wish to pass the underlying mxArray* representation
- * back to Matlab as an lvalue, see the releaseOwnership() method
- *
- * MxArrays can be directly converted into OpenCV mat objects and std::string
- * objects, since there is a natural mapping between these types. More
- * complex types are mapped through the Bridge which does custom conversions
- * such as MxArray --> cv::Keypoints, etc
- */
-class MxArray {
-private:
-  mxArray* ptr_;
-  bool owns_;
-
-  /*!
-   * @brief swap all members of this and other
-   *
-   * the swap method is used by the assignment and move constructors
-   * to swap the members of two MxArrays, leaving both in destructible states
-   */
-  friend void swap(MxArray& first, MxArray& second) {
-    using std::swap;
-    swap(first.ptr_,  second.ptr_);
-    swap(first.owns_, second.owns_);
-  }
-
-  void dealloc() {
-    if (owns_ && ptr_) { mxDestroyArray(ptr_); ptr_ = NULL; owns_ = false; }
-  }
-public:
-  // --------------------------------------------------------------------------
-  //                              CONSTRUCTORS
-  // --------------------------------------------------------------------------
-  /*!
-   * @brief default constructor
-   *
-   * Construct a valid 0x0 matrix (so all other methods do not need validity checks)
-   */
-  MxArray() : ptr_(mxCreateDoubleMatrix(0, 0, matlab::Traits<>::Real)), owns_(true) {}
-
-  /*!
-   * @brief destructor
-   *
-   * The destructor deallocates any data allocated by mxCreate* methods only
-   * if the object is owned
-   */
-  virtual ~MxArray() {
-    dealloc();
-  }
-
-  /*!
-   * @brief inheriting constructor
-   *
-   * Inherit an mxArray from Matlab. Don't claim ownership of the array,
-   * just encapsulate it
-   */
-  MxArray(const mxArray* ptr) : ptr_(const_cast<mxArray *>(ptr)), owns_(false) {}
-  MxArray& operator=(const mxArray* ptr) {
-    dealloc();
-    ptr_ = const_cast<mxArray *>(ptr);
-    owns_ = false;
-    return *this;
-  }
-
-  /*!
-   * @brief explicit typed constructor
-   *
-   * This constructor explicitly creates an MxArray of the given size and type.
-   */
-  MxArray(size_t m, size_t n, size_t k, mxClassID id, mxComplexity com = matlab::Traits<>::Real)
-      : ptr_(NULL), owns_(true) {
-    mwSize dims[] = { static_cast<mwSize>(m), static_cast<mwSize>(n), static_cast<mwSize>(k) };
-    ptr_ = mxCreateNumericArray(3, dims, id, com);
-  }
-
-  /*!
-   * @brief explicit tensor constructor
-   *
-   * Explicitly construct a tensor of given size and type. Since constructors cannot
-   * be explicitly templated, this is a static factory method
-   */
-  template <typename Scalar>
-  static MxArray Tensor(size_t m, size_t n, size_t k=1) {
-    return MxArray(m, n, k, matlab::Traits<Scalar>::ScalarType);
-  }
-
-  /*!
-   * @brief explicit matrix constructor
-   *
-   * Explicitly construct a matrix of given size and type. Since constructors cannot
-   * be explicitly templated, this is a static factory method
-   */
-  template <typename Scalar>
-  static MxArray Matrix(size_t m, size_t n) {
-    return MxArray(m, n, 1, matlab::Traits<Scalar>::ScalarType);
-  }
-
-  /*!
-   * @brief explicit vector constructor
-   *
-   * Explicitly construct a vector of given size and type. Since constructors cannot
-   * be explicitly templated, this is a static factory method
-   */
-  template <typename Scalar>
-  static MxArray Vector(size_t m) {
-    return MxArray(m, 1, 1, matlab::Traits<Scalar>::ScalarType);
-  }
-
-  /*!
-   * @brief explicit scalar constructor
-   *
-   * Explicitly construct a scalar of given type. Since constructors cannot
-   * be explicitly templated, this is a static factory method
-   */
-  template <typename ScalarType>
-  static MxArray Scalar(ScalarType value = 0) {
-    MxArray s(1, 1, 1, matlab::Traits<ScalarType>::ScalarType);
-    s.real<ScalarType>()[0] = value;
-    return s;
-  }
-
-  /*!
-   * @brief copy constructor
-   *
-   * All copies are deep copies. If you have a C++11 compatible compiler, prefer
-   * move construction to copy construction
-   */
-  MxArray(const MxArray& other) : ptr_(mxDuplicateArray(other.ptr_)), owns_(true) {}
-
-  /*!
-   * @brief copy-and-swap assignment
-   *
-   * This assignment operator uses the copy and swap idiom to provide a strong
-   * exception guarantee when swapping two objects.
-   *
-   * Note in particular that the other MxArray is passed by value, thus invoking
-   * the copy constructor which performs a deep copy of the input. The members of
-   * this and other are then swapped
-   */
-  MxArray& operator=(MxArray other) {
-    swap(*this, other);
-    return *this;
-  }
-#if __cplusplus >= 201103L
-  /*
-   * @brief C++11 move constructor
-   *
-   * When C++11 support is available, move construction is used to move returns
-   * out of functions, etc. This is much fast than copy construction, since the
-   * move constructed object replaced itself with a default constructed MxArray,
-   * which is of size 0 x 0.
-   */
-  MxArray(MxArray&& other) : MxArray() {
-    swap(*this, other);
-  }
-#endif
-
-  /*
-   * @brief release ownership to allow return into Matlab workspace
-   *
-   * MxArray is not directly convertible back to mxArray types through assignment
-   * because the MxArray may have been allocated on the free store, making it impossible
-   * to know whether the returned pointer will be released by someone else or not.
-   *
-   * Since Matlab requires mxArrays be passed back into the workspace, the only way
-   * to achieve that is through this function, which explicitly releases ownership
-   * of the object, assuming the Matlab interpreter receving the object will delete
-   * it at a later time
-   *
-   * e.g.
-   * {
-   *    MxArray A = MxArray::Matrix<double>(5, 5);  // allocates memory
-   *    MxArray B = MxArray::Matrix<double>(5, 5);  // ditto
-   *    plhs[0] = A;                                // not allowed!!
-   *    plhs[0] = A.releaseOwnership();             // makes explicit that ownership is being released
-   * } // end of scope. B is released, A isn't
-   *
-   */
-  mxArray* releaseOwnership() {
-    owns_ = false;
-    return ptr_;
-  }
-
-  MxArray field(const std::string& name) { return MxArray(mxGetField(ptr_, 0, name.c_str())); }
-
-  template <typename Scalar>
-  Scalar* real() { return static_cast<Scalar *>(mxGetData(ptr_)); }
-
-  template <typename Scalar>
-  Scalar* imag() { return static_cast<Scalar *>(mxGetImagData(ptr_)); }
-
-  template <typename Scalar>
-  const Scalar* real() const { return static_cast<const Scalar *>(mxGetData(ptr_)); }
-
-  template <typename Scalar>
-  const Scalar* imag() const { return static_cast<const Scalar *>(mxGetData(ptr_)); }
-
-  template <typename Scalar>
-  Scalar scalar() const { return static_cast<Scalar *>(mxGetData(ptr_))[0]; }
-
-  std::string toString() const {
-    conditionalError(isString(), "Attempted to convert non-string type to string");
-    std::string str(size(), '\0');
-    mxGetString(ptr_, const_cast<char *>(str.data()), str.size()+1);
-    return str;
-  }
-
-  size_t size() const { return mxGetNumberOfElements(ptr_); }
-  bool empty() const { return size() == 0; }
-  size_t rows() const { return mxGetDimensions(ptr_)[0]; }
-  size_t cols() const { return mxGetDimensions(ptr_)[1]; }
-  size_t channels() const { return (mxGetNumberOfDimensions(ptr_) > 2) ? mxGetDimensions(ptr_)[2] : 1; }
-  bool isComplex() const { return mxIsComplex(ptr_); }
-  bool isNumeric() const { return mxIsNumeric(ptr_); }
-  bool isLogical() const { return mxIsLogical(ptr_); }
-  bool isString() const { return mxIsChar(ptr_); }
-  bool isCell() const { return mxIsCell(ptr_); }
-  bool isStructure() const { return mxIsStruct(ptr_); }
-  bool isClass(const std::string& name) const { return mxIsClass(ptr_, name.c_str()); }
-  std::string className() const { return std::string(mxGetClassName(ptr_)); }
-  mxClassID ID() const { return mxGetClassID(ptr_); }
-
-};
-
-
-// ----------------------------------------------------------------------------
-//                           ARGUMENT PARSER
-// ----------------------------------------------------------------------------
-
-/*! @class ArgumentParser
- *  @brief parses inputs to a method and resolves the argument names.
- *
- * The ArgumentParser resolves the inputs to a method. It checks that all
- * required arguments are specified and also allows named optional arguments.
- * For example, the C++ function:
- *    void randn(Mat& mat, Mat& mean=Mat(), Mat& std=Mat());
- * could be called in Matlab using any of the following signatures:
- * \code
- *    out = randn(in);
- *    out = randn(in, 0, 1);
- *    out = randn(in, 'mean', 0, 'std', 1);
- * \endcode
- *
- * ArgumentParser also enables function overloading by allowing users
- * to add variants to a method. For example, there may be two C++ sum() methods:
- * \code
- *    double sum(Mat& mat);     % sum elements of a matrix
- *    Mat sum(Mat& A, Mat& B);  % add two matrices
- * \endcode
- *
- * by adding two variants to ArgumentParser, the correct underlying sum
- * method can be called. If the function call is ambiguous, the
- * ArgumentParser will fail with an error message.
- *
- * The previous example could be parsed as:
- * \code
- *    // set up the Argument parser
- *    ArgumentParser arguments;
- *    arguments.addVariant("elementwise", 1);
- *    arguments.addVariant("matrix", 2);
- *
- *    // parse the arguments
- *    std::vector<MxArray> inputs;
- *    inputs = arguments.parse(std::vector<MxArray>(prhs, prhs+nrhs));
- *
- *    // if we get here, one unique variant is valid
- *    if (arguments.variantIs("elementwise")) {
- *      // call elementwise sum()
- *    }
- * \endcode
- */
-class ArgumentParser {
-private:
-  struct Variant;
-  typedef std::string String;
-  typedef std::vector<std::string> StringVector;
-  typedef std::vector<size_t> IndexVector;
-  typedef std::vector<Variant> VariantVector;
-
-  /* @class Variant
-   * @brief Describes a variant of arguments to a method
-   *
-   * When addVariant() is called on an instance to ArgumentParser, this class
-   * holds the the information that decribes that variant. The parse() method
-   * of ArgumentParser then attempts to match a Variant, given a set of
-   * inputs for a method invocation.
-   */
-  class Variant {
-  private:
-    String name_;
-    size_t Nreq_;
-    size_t Nopt_;
-    StringVector keys_;
-    IndexVector order_;
-    bool valid_;
-    size_t nparsed_;
-    size_t nkeys_;
-    size_t working_opt_;
-    bool expecting_val_;
-    bool using_named_;
-    size_t find(const String& key) const {
-      return std::find(keys_.begin(), keys_.end(), key) - keys_.begin();
-    }
-  public:
-    /*! @brief default constructor */
-    Variant() : Nreq_(0), Nopt_(0), valid_(false) {}
-    /*! @brief construct a new variant spec */
-    Variant(const String& name, size_t Nreq, size_t Nopt, const StringVector& keys)
-      : name_(name), Nreq_(Nreq), Nopt_(Nopt), keys_(keys),
-      order_(Nreq+Nopt, Nreq+2*Nopt), valid_(true), nparsed_(0), nkeys_(0),
-      working_opt_(0), expecting_val_(false), using_named_(false) {}
-    /*! @brief the name of the variant */
-    String name() const { return name_; }
-    /*! @brief return the total number of arguments the variant can take */
-    size_t size() const { return Nreq_ + Nopt_; }
-    /*! @brief has the variant been fulfilled? */
-    bool fulfilled() const { return (valid_ && nparsed_ >= Nreq_ && !expecting_val_); }
-    /*! @brief is the variant in a valid state (though not necessarily fulfilled) */
-    bool valid() const { return valid_; }
-    /*! @brief check if the named argument exists in the variant */
-    bool exist(const String& key) const { return find(key) != keys_.size(); }
-    /*! @brief retrieve the order mapping raw inputs to their position in the variant */
-    const IndexVector& order() const { return order_; }
-    size_t order(size_t n) const { return order_[n]; }
-    /*! @brief attempt to parse the next argument as a value */
-    bool parseNextAsValue() {
-      if (!valid_) {}
-      else if ((using_named_ && !expecting_val_) || (nparsed_-nkeys_ == Nreq_+Nopt_)) { valid_ = false; }
-      else if (nparsed_ < Nreq_) { order_[nparsed_] = nparsed_; }
-      else if (!using_named_) { order_[nparsed_] = nparsed_; }
-      else if (using_named_ && expecting_val_) { order_[Nreq_ + working_opt_] = nparsed_; }
-      nparsed_++;
-      expecting_val_ = false;
-      return valid_;
-    }
-    /*! @biref attempt to parse the next argument as a name (key) */
-    bool parseNextAsKey(const String& key) {
-      if (!valid_) {}
-      else if ((nparsed_ < Nreq_) || (nparsed_-nkeys_ == Nreq_+Nopt_)) { valid_ = false; }
-      else if (using_named_ && expecting_val_) { valid_ = false; }
-      else if ((working_opt_ = find(key)) == keys_.size()) { valid_ = false; }
-      else { using_named_ = true; expecting_val_ = true; nkeys_++; nparsed_++; }
-      return valid_;
-    }
-    String toString(const String& method_name="f") const {
-      int req_begin = 0, req_end = 0, opt_begin = 0, opt_end = 0;
-      std::ostringstream s;
-      // f(...)
-      s << method_name << "(";
-      // required arguments
-      req_begin = s.str().size();
-      for (size_t n = 0; n < Nreq_; ++n) { s << "src" << n+1 << (n != Nreq_-1 ? ", " : ""); }
-      req_end = s.str().size();
-      if (Nreq_ && Nopt_) s << ", ";
-      // optional arguments
-      opt_begin = s.str().size();
-      for (size_t n = 0; n < keys_.size(); ++n) { s << "'" << keys_[n] << "', " << keys_[n] << (n != Nopt_-1 ? ", " : ""); }
-      opt_end = s.str().size();
-      s << ");";
-      if (Nreq_ + Nopt_ == 0) return s.str();
-      // underscores
-      String under = String(req_begin, ' ') + String(req_end-req_begin, '-')
-                   + String(std::max(opt_begin-req_end,0), ' ') + String(opt_end-opt_begin, '-');
-      s << "\n" << under;
-      // required and optional sets
-      String req_set(req_end-req_begin, ' ');
-      String opt_set(opt_end-opt_begin, ' ');
-      if (!req_set.empty() && req_set.size() < 8) req_set.replace((req_set.size()-3)/2, 3, "req");
-      if (req_set.size() > 7) req_set.replace((req_set.size()-8)/2, 8, "required");
-      if (!opt_set.empty() && opt_set.size() < 8) opt_set.replace((opt_set.size()-3)/2, 3, "opt");
-      if (opt_set.size() > 7) opt_set.replace((opt_set.size()-8)/2, 8, "optional");
-      String set = String(req_begin, ' ') + req_set + String(std::max(opt_begin-req_end,0), ' ') + opt_set;
-      s << "\n" << set;
-      return s.str();
-    }
-  };
-  /*! @brief given an input and output vector of arguments, and a variant spec, sort */
-  void sortArguments(Variant& v, MxArrayVector& in, MxArrayVector& out) {
-    // allocate the output array with ALL arguments
-    out.resize(v.size());
-    // reorder the inputs based on the variant ordering
-    for (size_t n = 0; n < v.size(); ++n) {
-      if (v.order(n) >= in.size()) continue;
-      swap(in[v.order(n)], out[n]);
-    }
-  }
-  VariantVector variants_;
-  String valid_;
-  String method_name_;
-public:
-  ArgumentParser(const String& method_name) : method_name_(method_name) {}
-
-  /*! @brief add a function call variant to the parser
-   *
-   * Adds a function-call signature to the parser. The function call *must* be
-   * unique either in its number of arguments, or in the named-syntax.
-   * Currently this function does not check whether that invariant stands true.
-   *
-   * This function is variadic. If should be called as follows:
-   *  addVariant(2, 2, 'opt_1_name', 'opt_2_name');
-   */
-  void addVariant(const String& name, size_t nreq, size_t nopt = 0, ...) {
-    StringVector keys;
-    va_list opt;
-    va_start(opt, nopt);
-    for (size_t n = 0; n < nopt; ++n) keys.push_back(va_arg(opt, const char*));
-    addVariant(name, nreq, nopt, keys);
-  }
-  void addVariant(const String& name, size_t nreq, size_t nopt, StringVector keys) {
-    variants_.push_back(Variant(name, nreq, nopt, keys));
-  }
-
-  /*! @brief check if the valid variant is the key name */
-  bool variantIs(const String& name) {
-    return name.compare(valid_) == 0;
-  }
-
-  /*! @brief parse a vector of input arguments
-   *
-   * This method parses a vector of input arguments, attempting to match them
-   * to a Variant spec. For each input, the method attempts to cull any
-   * Variants which don't match the given inputs so far.
-   *
-   * Once all inputs have been parsed, if there is one unique spec remaining,
-   * the output MxArray vector gets populated with the arguments, with named
-   * arguments removed. Any optional arguments that have not been encountered
-   * are set to an empty array.
-   *
-   * If multiple variants or no variants match the given call, an error
-   * message is emitted
-   */
-  MxArrayVector parse(const MxArrayVector& inputs) {
-    // allocate the outputs
-    String variant_string;
-    MxArrayVector outputs;
-    VariantVector candidates = variants_;
-
-    // iterate over the inputs, attempting to match a variant
-    for (MxArrayVector::const_iterator input = inputs.begin(); input != inputs.end(); ++input) {
-      String name = input->isString() ? input->toString() : String();
-      for (VariantVector::iterator candidate = candidates.begin(); candidate < candidates.end(); ++candidate) {
-        candidate->exist(name) ? candidate->parseNextAsKey(name) : candidate->parseNextAsValue();
-      }
-    }
-
-    // make sure the candidates have been fulfilled
-    for (VariantVector::iterator candidate = candidates.begin(); candidate < candidates.end(); ++candidate) {
-      if (!candidate->fulfilled()) candidate = candidates.erase(candidate)--;
-    }
-
-    // if there is not a unique candidate, throw an error
-    for (VariantVector::iterator variant = variants_.begin(); variant != variants_.end(); ++variant) {
-      variant_string += "\n" + variant->toString(method_name_);
-    }
-
-    // if there is not a unique candidate, throw an error
-    if (candidates.size()  > 1) {
-      error(String("Call to method is ambiguous. Valid variants are:")
-        .append(variant_string).append("\nUse named arguments to disambiguate call"));
-    }
-    if (candidates.size() == 0) {
-      error(String("No matching method signatures for given arguments. Valid variants are:").append(variant_string));
-    }
-
-    // Unique candidate!
-    valid_ = candidates[0].name();
-    sortArguments(candidates[0], const_cast<MxArrayVector&>(inputs), outputs);
-    return outputs;
-  }
-};
-
-} // namespace matlab
-
-#endif
diff --git a/modules/matlab/include/opencv2/matlab/transpose.hpp b/modules/matlab/include/opencv2/matlab/transpose.hpp
deleted file mode 100644
index 7331cd0ec8..0000000000
--- a/modules/matlab/include/opencv2/matlab/transpose.hpp
+++ /dev/null
@@ -1,141 +0,0 @@
-////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this
-//  license. If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without
-// modification, are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote
-//     products derived from this software without specific prior written
-//     permission.
-//
-// This software is provided by the copyright holders and contributors "as is"
-// and any express or implied warranties, including, but not limited to, the
-// implied warranties of merchantability and fitness for a particular purpose
-// are disclaimed. In no event shall the Intel Corporation or contributors be
-// liable for any direct, indirect, incidental, special, exemplary, or
-// consequential damages (including, but not limited to, procurement of
-// substitute goods or services; loss of use, data, or profits; or business
-// interruption) however caused and on any theory of liability, whether in
-// contract, strict liability, or tort (including negligence or otherwise)
-// arising in any way out of the use of this software, even if advised of the
-// possibility of such damage.
-//
-////////////////////////////////////////////////////////////////////////////////
-#ifndef OPENCV_TRANSPOSE_HPP_
-#define OPENCV_TRANSPOSE_HPP_
-
-template <typename InputScalar, typename OutputScalar>
-void transposeBlock(const size_t M, const size_t N, const InputScalar* src, size_t lda, OutputScalar* dst, size_t ldb) {
-  InputScalar cache[16];
-  // copy the source into the cache contiguously
-  for (size_t n = 0; n < N; ++n)
-    for (size_t m = 0; m < M; ++m)
-      cache[m+n*4] = src[m+n*lda];
-  // copy the destination out of the cache contiguously
-  for (size_t m = 0; m < M; ++m)
-    for (size_t n = 0; n < N; ++n)
-      dst[n+m*ldb] = cache[m+n*4];
-}
-
-template <typename InputScalar, typename OutputScalar>
-void transpose4x4(const InputScalar* src, size_t lda, OutputScalar* dst, size_t ldb) {
-  InputScalar cache[16];
-  // copy the source into the cache contiguously
-  cache[0] = src[0];  cache[1] = src[1];  cache[2] = src[2];  cache[3] = src[3];  src+=lda;
-  cache[4] = src[0];  cache[5] = src[1];  cache[6] = src[2];  cache[7] = src[3];  src+=lda;
-  cache[8] = src[0];  cache[9] = src[1];  cache[10] = src[2]; cache[11] = src[3]; src+=lda;
-  cache[12] = src[0]; cache[13] = src[1]; cache[14] = src[2]; cache[15] = src[3]; src+=lda;
-  // copy the destination out of the contiguously
-  dst[0] = cache[0];  dst[1] = cache[4];  dst[2] = cache[8];   dst[3] = cache[12]; dst+=ldb;
-  dst[0] = cache[1];  dst[1] = cache[5];  dst[2] = cache[9];   dst[3] = cache[13]; dst+=ldb;
-  dst[0] = cache[2];  dst[1] = cache[6];  dst[2] = cache[10];  dst[3] = cache[14]; dst+=ldb;
-  dst[0] = cache[3];  dst[1] = cache[7];  dst[2] = cache[11];  dst[3] = cache[15]; dst+=ldb;
-}
-
-
-/*
- * Vanilla copy, transpose and cast
- */
-template <typename InputScalar, typename OutputScalar>
-void gemt(const char major, const size_t M, const size_t N, const InputScalar* a, size_t lda, OutputScalar* b, size_t ldb) {
-
-  // 1x1 transpose is just copy
-  if (M == 1 && N == 1) { *b = *a; return; }
-
-  // get the interior 4x4 blocks, and the extra skirting
-  const size_t Fblock = (major == 'R') ? N/4 : M/4;
-  const size_t Frem   = (major == 'R') ? N%4 : M%4;
-  const size_t Sblock = (major == 'R') ? M/4 : N/4;
-  const size_t Srem   = (major == 'R') ? M%4 : N%4;
-
-  // if less than 4x4, invoke the block transpose immediately
-  if (M < 4 && N < 4) { transposeBlock(Frem, Srem, a, lda, b, ldb); return; }
-
-  // transpose 4x4 blocks
-  const InputScalar* aptr = a;
-  OutputScalar* bptr = b;
-  for (size_t second = 0; second < Sblock; ++second) {
-    aptr = a + second*lda;
-    bptr = b + second;
-    for (size_t first = 0; first < Fblock; ++first) {
-      transposeBlock(4, 4, aptr, lda, bptr, ldb);
-      //transpose4x4(aptr, lda, bptr, ldb);
-      aptr+=4;
-      bptr+=4*ldb;
-    }
-    // transpose trailing blocks on primary dimension
-    transposeBlock(Frem, 4, aptr, lda, bptr, ldb);
-  }
-  // transpose trailing blocks on secondary dimension
-  aptr = a + 4*Sblock*lda;
-  bptr = b + 4*Sblock;
-  for (size_t first = 0; first < Fblock; ++first) {
-    transposeBlock(4, Srem, aptr, lda, bptr, ldb);
-    aptr+=4;
-    bptr+=4*ldb;
-  }
-  // transpose bottom right-hand corner
-  transposeBlock(Frem, Srem, aptr, lda, bptr, ldb);
-}
-
-#ifdef __SSE2__
-/*
- * SSE2 supported fast copy, transpose and cast
- */
-#include <emmintrin.h>
-
-template <>
-void transpose4x4<float, float>(const float* src, size_t lda, float* dst, size_t ldb) {
-  __m128 row0, row1, row2, row3;
-  row0 = _mm_loadu_ps(src);
-  row1 = _mm_loadu_ps(src+lda);
-  row2 = _mm_loadu_ps(src+2*lda);
-  row3 = _mm_loadu_ps(src+3*lda);
-  _MM_TRANSPOSE4_PS(row0, row1, row2, row3);
-  _mm_storeu_ps(dst, row0);
-  _mm_storeu_ps(dst+ldb, row1);
-  _mm_storeu_ps(dst+2*ldb, row2);
-  _mm_storeu_ps(dst+3*ldb, row3);
-}
-
-#endif
-#endif
diff --git a/modules/matlab/test/CMakeLists.txt b/modules/matlab/test/CMakeLists.txt
deleted file mode 100644
index c8c5177faa..0000000000
--- a/modules/matlab/test/CMakeLists.txt
+++ /dev/null
@@ -1,23 +0,0 @@
-set(TEST_PROXY ${CMAKE_CURRENT_BINARY_DIR}/test.proxy)
-file(REMOVE ${TEST_PROXY})
-
-# generate
-# call the python executable to generate the Matlab gateways
-add_custom_command(
-    OUTPUT ${TEST_PROXY}
-    COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_CURRENT_SOURCE_DIR}/OpenCVTest.m ${CMAKE_CURRENT_BINARY_DIR}
-    COMMAND ${CMAKE_COMMAND} -E copy ${CMAKE_CURRENT_SOURCE_DIR}/testsuite.m ${CMAKE_CURRENT_BINARY_DIR}
-    COMMAND ${CMAKE_COMMAND} -E touch ${TEST_PROXY}
-    COMMENT "Building Matlab tests"
-)
-
-# targets
-# opencv_matlab_sources --> opencv_matlab
-add_custom_target(opencv_test_matlab ALL DEPENDS ${TEST_PROXY})
-add_dependencies(opencv_test_matlab ${the_module})
-
-# run the matlab test suite
-add_test(opencv_test_matlab
-    COMMAND ${MATLAB_BIN} "-nodisplay" "-r" "testsuite.m"
-    WORKING_DIRECTORY ${CMAKE_CURRENT_BINARY_DIR}
-)
diff --git a/modules/matlab/test/OpenCVTest.m b/modules/matlab/test/OpenCVTest.m
deleted file mode 100644
index 67feedd93d..0000000000
--- a/modules/matlab/test/OpenCVTest.m
+++ /dev/null
@@ -1,166 +0,0 @@
-% Matlab binding test cases
-% Uses Matlab's builtin testing framework
-classdef OpenCVTest < matlab.unittest.TestCase
-
-  methods(Test)
-
-    % -------------------------------------------------------------------------
-    % EXCEPTIONS
-    % Check that errors and exceptions are thrown correctly
-    % -------------------------------------------------------------------------
-
-    % check that std exception is thrown
-    function stdException(testcase)
-      try
-        std_exception();
-        testcase.verifyFail();
-      catch
-        % TODO: Catch more specific exception
-        testcase.verifyTrue(true);
-      end
-    end
-
-    % check that OpenCV exceptions are correctly caught
-    function cvException(testcase)
-      try
-        cv_exception();
-        testcase.verifyFail();
-      catch
-        % TODO: Catch more specific exception
-        testcase.verifyTrue(true);
-      end
-    end
-
-    % check that all exceptions are caught
-    function allException(testcase)
-      try
-        exception();
-        testcase.verifyFail();
-      catch
-        % TODO: Catch more specific exception
-        testcase.verifyTrue(true);
-      end
-    end
-
-    % -------------------------------------------------------------------------
-    % SIZES AND FILLS
-    % Check that matrices are correctly filled and resized
-    % -------------------------------------------------------------------------
-
-    % check that a matrix is correctly filled with random numbers
-    function randomFill(testcase)
-      sz = [7 11];
-      mat = zeros(sz);
-      mat = cv.randn(mat, 0, 1);
-      testcase.verifyEqual(size(mat), sz, 'Matrix should not change size');
-      testcase.verifyNotEqual(mat, zeros(sz), 'Matrix should be nonzero');
-    end
-
-    function transpose(testcase)
-      m = randn(19, 81);
-      mt1 = transpose(m);
-      mt2 = cv.transpose(m);
-      testcase.verifyEqual(size(mt1), size(mt2), 'Matrix transposed to incorrect dimensionality');
-      testcase.verifyLessThan(norm(mt1 - mt2), 1e-8, 'Too much precision lost in tranposition');
-    end
-
-    % multiple return
-    function multipleReturn(testcase)
-      A = randn(10);
-      A = A'*A;
-      [V1, D1] = eig(A); D1 = diag(D1);
-      [~, D2, V2] = cv.eigen(A);
-      testcase.verifyLessThan(norm(V1 - V2), 1e-6, 'Too much precision lost in eigenvectors');
-      testcase.verifyLessThan(norm(D1 - D2), 1e-6, 'Too much precision lost in eigenvalues');
-    end
-
-    % complex output from SVD
-    function complexOutputSVD(testcase)
-      A = randn(10);
-      [V1, D1] = eig(A);
-      [~, D2, V2] = cv.eigen(A);
-      testcase.verifyTrue(~isreal(V2) && size(V2,3) == 1, 'Output should be complex');
-      testcase.verifyLessThan(norm(V1 - V2), 1e-6, 'Too much precision lost in eigenvectors');
-    end
-
-    % complex output from Fourier Transform
-    function complexOutputFFT(testcase)
-      A = randn(10);
-      F1 = fft2(A);
-      F2 = cv.dft(A, cv.DFT_COMPLEX_OUTPUT);
-      testcase.verifyTrue(~isreal(F2) && size(F2,3) == 1, 'Output should be complex');
-      testcase.verifyLessThan(norm(F1 - F2), 1e-6, 'Too much precision lost in eigenvectors');
-    end
-
-    % -------------------------------------------------------------------------
-    % TYPE CASTS
-    % Check that types are correctly cast
-    % -------------------------------------------------------------------------
-
-    % -------------------------------------------------------------------------
-    % PRECISION
-    % Check that basic operations are performed with sufficient precision
-    % -------------------------------------------------------------------------
-
-    % check that summing elements is within reasonable precision
-    function sumElements(testcase)
-      a = randn(5000);
-      b = sum(a(:));
-      c = cv.sum(a);
-      testcase.verifyLessThan(norm(b - c), 1e-8, 'Matrix reduction with insufficient precision');
-    end
-
-
-    % check that adding two matrices is within reasonable precision
-    function addPrecision(testcase)
-      a = randn(50);
-      b = randn(50);
-      c = a+b;
-      d = cv.add(a, b);
-      testcase.verifyLessThan(norm(c - d), 1e-8, 'Matrices are added with insufficient precision');
-    end
-
-    % check that performing gemm is within reasonable precision
-    function gemmPrecision(testcase)
-      a = randn(10, 50);
-      b = randn(50, 10);
-      c = randn(10, 10);
-      alpha = 2.71828;
-      gamma = 1.61803;
-      d = alpha*a*b + gamma*c;
-      e = cv.gemm(a, b, alpha, c, gamma);
-      testcase.verifyLessThan(norm(d - e), 1e-8, 'Matrices are multiplied with insufficient precision');
-    end
-
-
-    % -------------------------------------------------------------------------
-    % MISCELLANEOUS
-    % Miscellaneous tests
-    % -------------------------------------------------------------------------
-
-    % check that cv::waitKey waits for at least specified time
-    function waitKey(testcase)
-      tic();
-      cv.waitKey(500);
-      elapsed = toc();
-      testcase.verifyGreaterThan(elapsed, 0.5, 'Elapsed time should be at least 0.5 seconds');
-    end
-
-    % check that highgui window can be created and destroyed
-    function createAndDestroyWindow(testcase)
-      try
-        cv.namedWindow('test window');
-      catch
-        testcase.verifyFail('could not create window');
-      end
-
-      try
-        cv.destroyWindow('test window');
-      catch
-        testcase.verifyFail('could not destroy window');
-      end
-      testcase.verifyTrue(true);
-    end
-
-  end
-end
diff --git a/modules/matlab/test/cv_exception.cpp b/modules/matlab/test/cv_exception.cpp
deleted file mode 100644
index 100d294b85..0000000000
--- a/modules/matlab/test/cv_exception.cpp
+++ /dev/null
@@ -1,33 +0,0 @@
-/*
- * file:   exception.cpp
- * author: Hilton Bristow
- * date:   Wed, 19 Jun 2013 11:15:15
- *
- * See LICENCE for full modification and redistribution details.
- * Copyright 2013 The OpenCV Foundation
- */
-#include <exception>
-#include <opencv2/core.hpp>
-#include "mex.h"
-
-/*
- * exception
- * Gateway routine
- *   nlhs - number of return arguments
- *   plhs - pointers to return arguments
- *   nrhs - number of input arguments
- *   prhs - pointers to input arguments
- */
-void mexFunction(int nlhs, mxArray* plhs[],
-                 int nrhs, const mxArray* prhs[]) {
-
-  // call the opencv function
-  // [out =] namespace.fun(src1, ..., srcn, dst1, ..., dstn, opt1, ..., optn);
-  try {
-    throw cv::Exception(-1, "OpenCV exception thrown", __func__, __FILE__, __LINE__);
-  } catch(cv::Exception& e) {
-    mexErrMsgTxt(e.what());
-  } catch(...) {
-    mexErrMsgTxt("Incorrect exception caught!");
-  }
-}
diff --git a/modules/matlab/test/exception.cpp b/modules/matlab/test/exception.cpp
deleted file mode 100644
index ac6788ac85..0000000000
--- a/modules/matlab/test/exception.cpp
+++ /dev/null
@@ -1,29 +0,0 @@
-/*
- * file:   exception.cpp
- * author: Hilton Bristow
- * date:   Wed, 19 Jun 2013 11:15:15
- *
- * See LICENCE for full modification and redistribution details.
- * Copyright 2013 The OpenCV Foundation
- */
-#include "mex.h"
-
-/*
- * exception
- * Gateway routine
- *   nlhs - number of return arguments
- *   plhs - pointers to return arguments
- *   nrhs - number of input arguments
- *   prhs - pointers to input arguments
- */
-void mexFunction(int nlhs, mxArray* plhs[],
-                 int nrhs, const mxArray* prhs[]) {
-
-  // call the opencv function
-  // [out =] namespace.fun(src1, ..., srcn, dst1, ..., dstn, opt1, ..., optn);
-  try {
-    throw 1;
-  } catch(...) {
-    mexErrMsgTxt("Uncaught exception occurred!");
-  }
-}
diff --git a/modules/matlab/test/help.m b/modules/matlab/test/help.m
deleted file mode 100644
index cfe86767d6..0000000000
--- a/modules/matlab/test/help.m
+++ /dev/null
@@ -1,15 +0,0 @@
-function help()
-%CV.HELP display help information for the OpenCV Toolbox
-%
-%   Calling:
-%   >> cv.help();
-%
-%   is equivalent to calling:
-%   >> help cv;
-%
-%   It displays high-level usage information about the OpenCV toolbox
-%   along with resources to find out more information.
-%
-%   See also: cv.buildInformation
-  help('cv');
-end
diff --git a/modules/matlab/test/std_exception.cpp b/modules/matlab/test/std_exception.cpp
deleted file mode 100644
index d30b82429d..0000000000
--- a/modules/matlab/test/std_exception.cpp
+++ /dev/null
@@ -1,32 +0,0 @@
-/*
- * file:   exception.cpp
- * author: Hilton Bristow
- * date:   Wed, 19 Jun 2013 11:15:15
- *
- * See LICENCE for full modification and redistribution details.
- * Copyright 2013 The OpenCV Foundation
- */
-#include <exception>
-#include "mex.h"
-
-/*
- * exception
- * Gateway routine
- *   nlhs - number of return arguments
- *   plhs - pointers to return arguments
- *   nrhs - number of input arguments
- *   prhs - pointers to input arguments
- */
-void mexFunction(int nlhs, mxArray* plhs[],
-                 int nrhs, const mxArray* prhs[]) {
-
-  // call the opencv function
-  // [out =] namespace.fun(src1, ..., srcn, dst1, ..., dstn, opt1, ..., optn);
-  try {
-    throw std::exception();
-  } catch(std::exception& e) {
-    mexErrMsgTxt(e.what());
-  } catch(...) {
-    mexErrMsgTxt("Incorrect exception caught!");
-  }
-}
diff --git a/modules/matlab/test/test_compiler.cpp b/modules/matlab/test/test_compiler.cpp
deleted file mode 100644
index 07559ad502..0000000000
--- a/modules/matlab/test/test_compiler.cpp
+++ /dev/null
@@ -1,31 +0,0 @@
-/*
- * file:   rand.cpp
- * author: A trusty code generator
- * date:   Wed, 19 Jun 2013 11:15:15
- *
- * This file was autogenerated, do not modify.
- * See LICENCE for full modification and redistribution details.
- * Copyright 2013 The OpenCV Foundation
- */
-#include "mex.h"
-#include <vector>
-
-/*
- * rand
- * Gateway routine
- *   nlhs - number of return arguments
- *   plhs - pointers to return arguments
- *   nrhs - number of input arguments
- *   prhs - pointers to input arguments
- */
-void mexFunction(int nlhs, mxArray* plhs[],
-                 int nrhs, const mxArray* prhs[]) {
-
-  // call the opencv function
-  // [out =] namespace.fun(src1, ..., srcn, dst1, ..., dstn, opt1, ..., optn);
-  try {
-    rand();
-  } catch(...) {
-    mexErrMsgTxt("Uncaught exception occurred in rand");
-  }
-}
diff --git a/modules/matlab/test/test_generator.hpp b/modules/matlab/test/test_generator.hpp
deleted file mode 100644
index a03c390a65..0000000000
--- a/modules/matlab/test/test_generator.hpp
+++ /dev/null
@@ -1,15 +0,0 @@
-/*
- * a rather innocuous-looking function which is actually
- * part of <cstdlib>, so we can be reasonably sure its
- * definition will be found
- */
-#ifndef __OPENCV_MATLAB_TEST_GENERATOR_HPP_
-#define __OPENCV_MATLAB_TEST_GENERATOR_HPP_
-
-namespace cv {
-
-CV_EXPORTS_W int rand( );
-
-};
-
-#endif
diff --git a/modules/matlab/test/testsuite.m b/modules/matlab/test/testsuite.m
deleted file mode 100644
index 9e7d44aab6..0000000000
--- a/modules/matlab/test/testsuite.m
+++ /dev/null
@@ -1,11 +0,0 @@
-% add the opencv bindings folder
-addpath ..
-
-%setup the tests
-opencv_tests = OpenCVTest();
-
-%run the tests
-result = run(opencv_tests);
-
-% shutdown
-exit();
diff --git a/modules/python/common.cmake b/modules/python/common.cmake
index d9a0bc18bd..b7512981dc 100644
--- a/modules/python/common.cmake
+++ b/modules/python/common.cmake
@@ -18,6 +18,8 @@ ocv_list_filterout(candidate_deps "^opencv_adas$")
 ocv_list_filterout(candidate_deps "^opencv_face$")
 ocv_list_filterout(candidate_deps "^opencv_matlab$")
 ocv_list_filterout(candidate_deps "^opencv_tracking$")
+ocv_list_filterout(candidate_deps "^opencv_optflow$")
+ocv_list_filterout(candidate_deps "^opencv_bgsegm$")
 
 ocv_add_module(${MODULE_NAME} BINDINGS OPTIONAL ${candidate_deps})
 
diff --git a/modules/superres/src/optical_flow.cpp b/modules/superres/src/optical_flow.cpp
index 2f77cd7868..7227b080fc 100644
--- a/modules/superres/src/optical_flow.cpp
+++ b/modules/superres/src/optical_flow.cpp
@@ -229,6 +229,7 @@ Ptr<DenseOpticalFlowExt> cv::superres::createOptFlow_Farneback()
 ///////////////////////////////////////////////////////////////////
 // Simple
 
+/*
 namespace
 {
     class Simple : public CpuOpticalFlow
@@ -311,7 +312,7 @@ namespace
 Ptr<DenseOpticalFlowExt> cv::superres::createOptFlow_Simple()
 {
     return makePtr<Simple>();
-}
+}*/
 
 ///////////////////////////////////////////////////////////////////
 // DualTVL1
diff --git a/modules/video/doc/motion_analysis_and_object_tracking.rst b/modules/video/doc/motion_analysis_and_object_tracking.rst
index 7d5d1d5be0..e1d95094ce 100644
--- a/modules/video/doc/motion_analysis_and_object_tracking.rst
+++ b/modules/video/doc/motion_analysis_and_object_tracking.rst
@@ -214,135 +214,6 @@ Unlike :ocv:func:`findHomography` and :ocv:func:`estimateRigidTransform`, the fu
     :ocv:func:`findHomography`
 
 
-updateMotionHistory
------------------------
-Updates the motion history image by a moving silhouette.
-
-.. ocv:function:: void updateMotionHistory( InputArray silhouette, InputOutputArray mhi, double timestamp, double duration )
-
-.. ocv:pyfunction:: cv2.updateMotionHistory(silhouette, mhi, timestamp, duration) -> mhi
-
-.. ocv:cfunction:: void cvUpdateMotionHistory( const CvArr* silhouette, CvArr* mhi, double timestamp, double duration )
-
-    :param silhouette: Silhouette mask that has non-zero pixels where the motion occurs.
-
-    :param mhi: Motion history image that is updated by the function (single-channel, 32-bit floating-point).
-
-    :param timestamp: Current time in milliseconds or other units.
-
-    :param duration: Maximal duration of the motion track in the same units as  ``timestamp`` .
-
-The function updates the motion history image as follows:
-
-.. math::
-
-    \texttt{mhi} (x,y)= \forkthree{\texttt{timestamp}}{if $\texttt{silhouette}(x,y) \ne 0$}{0}{if $\texttt{silhouette}(x,y) = 0$ and $\texttt{mhi} < (\texttt{timestamp} - \texttt{duration})$}{\texttt{mhi}(x,y)}{otherwise}
-
-That is, MHI pixels where the motion occurs are set to the current ``timestamp`` , while the pixels where the motion happened last time a long time ago are cleared.
-
-The function, together with
-:ocv:func:`calcMotionGradient` and
-:ocv:func:`calcGlobalOrientation` , implements a motion templates technique described in
-[Davis97]_ and [Bradski00]_.
-See also the OpenCV sample ``motempl.c`` that demonstrates the use of all the motion template functions.
-
-
-calcMotionGradient
-----------------------
-Calculates a gradient orientation of a motion history image.
-
-.. ocv:function:: void calcMotionGradient( InputArray mhi, OutputArray mask, OutputArray orientation,                         double delta1, double delta2, int apertureSize=3 )
-
-.. ocv:pyfunction:: cv2.calcMotionGradient(mhi, delta1, delta2[, mask[, orientation[, apertureSize]]]) -> mask, orientation
-
-.. ocv:cfunction:: void cvCalcMotionGradient( const CvArr* mhi, CvArr* mask, CvArr* orientation, double delta1, double delta2, int aperture_size=3 )
-
-    :param mhi: Motion history single-channel floating-point image.
-
-    :param mask: Output mask image that has the type  ``CV_8UC1``  and the same size as  ``mhi`` . Its non-zero elements mark pixels where the motion gradient data is correct.
-
-    :param orientation: Output motion gradient orientation image that has the same type and the same size as  ``mhi`` . Each pixel of the image is a motion orientation, from 0 to 360 degrees.
-
-    :param delta1: Minimal (or maximal) allowed difference between  ``mhi``  values within a pixel neighborhood.
-
-    :param delta2: Maximal (or minimal) allowed difference between  ``mhi``  values within a pixel neighborhood. That is, the function finds the minimum ( :math:`m(x,y)` ) and maximum ( :math:`M(x,y)` )  ``mhi``  values over  :math:`3 \times 3`  neighborhood of each pixel and marks the motion orientation at  :math:`(x, y)`  as valid only if
-
-        .. math::
-
-            \min ( \texttt{delta1}  ,  \texttt{delta2}  )  \le  M(x,y)-m(x,y)  \le   \max ( \texttt{delta1}  , \texttt{delta2} ).
-
-    :param apertureSize: Aperture size of  the :ocv:func:`Sobel`  operator.
-
-The function calculates a gradient orientation at each pixel
-:math:`(x, y)` as:
-
-.. math::
-
-    \texttt{orientation} (x,y)= \arctan{\frac{d\texttt{mhi}/dy}{d\texttt{mhi}/dx}}
-
-In fact,
-:ocv:func:`fastAtan2` and
-:ocv:func:`phase` are used so that the computed angle is measured in degrees and covers the full range 0..360. Also, the ``mask`` is filled to indicate pixels where the computed angle is valid.
-
-.. note::
-
-   * (Python) An example on how to perform a motion template technique can be found at opencv_source_code/samples/python2/motempl.py
-
-calcGlobalOrientation
--------------------------
-Calculates a global motion orientation in a selected region.
-
-.. ocv:function:: double calcGlobalOrientation( InputArray orientation, InputArray mask, InputArray mhi, double timestamp, double duration )
-
-.. ocv:pyfunction:: cv2.calcGlobalOrientation(orientation, mask, mhi, timestamp, duration) -> retval
-
-.. ocv:cfunction:: double cvCalcGlobalOrientation( const CvArr* orientation, const CvArr* mask, const CvArr* mhi, double timestamp, double duration )
-
-    :param orientation: Motion gradient orientation image calculated by the function  :ocv:func:`calcMotionGradient` .
-
-    :param mask: Mask image. It may be a conjunction of a valid gradient mask, also calculated by  :ocv:func:`calcMotionGradient` , and the mask of a region whose direction needs to be calculated.
-
-    :param mhi: Motion history image calculated by  :ocv:func:`updateMotionHistory` .
-
-    :param timestamp: Timestamp passed to  :ocv:func:`updateMotionHistory` .
-
-    :param duration: Maximum duration of a motion track in milliseconds, passed to  :ocv:func:`updateMotionHistory` .
-
-The function calculates an average
-motion direction in the selected region and returns the angle between
-0 degrees  and 360 degrees. The average direction is computed from
-the weighted orientation histogram, where a recent motion has a larger
-weight and the motion occurred in the past has a smaller weight, as recorded in ``mhi`` .
-
-
-
-
-segmentMotion
--------------
-Splits a motion history image into a few parts corresponding to separate independent motions (for example, left hand, right hand).
-
-.. ocv:function:: void segmentMotion(InputArray mhi, OutputArray segmask, vector<Rect>& boundingRects, double timestamp, double segThresh)
-
-.. ocv:pyfunction:: cv2.segmentMotion(mhi, timestamp, segThresh[, segmask]) -> segmask, boundingRects
-
-.. ocv:cfunction:: CvSeq* cvSegmentMotion( const CvArr* mhi, CvArr* seg_mask, CvMemStorage* storage, double timestamp, double seg_thresh )
-
-    :param mhi: Motion history image.
-
-    :param segmask: Image where the found mask should be stored, single-channel, 32-bit floating-point.
-
-    :param boundingRects: Vector containing ROIs of motion connected components.
-
-    :param timestamp: Current time in milliseconds or other units.
-
-    :param segThresh: Segmentation threshold that is recommended to be equal to the interval between motion history "steps" or greater.
-
-
-The function finds all of the motion segments and marks them in ``segmask`` with individual values (1,2,...). It also computes a vector with ROIs of motion connected components. After that the motion direction for every component can be calculated with :ocv:func:`calcGlobalOrientation` using the extracted mask of the particular component.
-
-
-
-
 CamShift
 --------
 Finds an object center, size, and orientation.
@@ -994,52 +865,6 @@ Sets the prior probability that each individual pixel is a background pixel.
 .. ocv:function:: void BackgroundSubtractorGMG::setBackgroundPrior(double bgprior)
 
 
-calcOpticalFlowSF
------------------
-Calculate an optical flow using "SimpleFlow" algorithm.
-
-.. ocv:function:: void calcOpticalFlowSF( InputArray from, InputArray to, OutputArray flow, int layers, int averaging_block_size, int max_flow )
-
-.. ocv:function:: calcOpticalFlowSF( InputArray from, InputArray to, OutputArray flow, int layers, int averaging_block_size, int max_flow, double sigma_dist, double sigma_color, int postprocess_window, double sigma_dist_fix, double sigma_color_fix, double occ_thr, int upscale_averaging_radius, double upscale_sigma_dist, double upscale_sigma_color, double speed_up_thr )
-
-    :param prev: First 8-bit 3-channel image.
-
-    :param next: Second 8-bit 3-channel image of the same size as ``prev``
-
-    :param flow: computed flow image that has the same size as ``prev`` and type ``CV_32FC2``
-
-    :param layers: Number of layers
-
-    :param averaging_block_size: Size of block through which we sum up when calculate cost function for pixel
-
-    :param max_flow: maximal flow that we search at each level
-
-    :param sigma_dist: vector smooth spatial sigma parameter
-
-    :param sigma_color: vector smooth color sigma parameter
-
-    :param postprocess_window: window size for postprocess cross bilateral filter
-
-    :param sigma_dist_fix: spatial sigma for postprocess cross bilateralf filter
-
-    :param sigma_color_fix: color sigma for postprocess cross bilateral filter
-
-    :param occ_thr: threshold for detecting occlusions
-
-    :param upscale_averaging_radius: window size for bilateral upscale operation
-
-    :param upscale_sigma_dist: spatial sigma for bilateral upscale operation
-
-    :param upscale_sigma_color: color sigma for bilateral upscale operation
-
-    :param speed_up_thr: threshold to detect point with irregular flow - where flow should be recalculated after upscale
-
-See [Tao2012]_. And site of project - http://graphics.berkeley.edu/papers/Tao-SAN-2012-05/.
-
-.. note::
-
-   * An example using the simpleFlow algorithm can be found at opencv_source_code/samples/cpp/simpleflow_demo.cpp
-
 createOptFlow_DualTVL1
 ----------------------
 "Dual TV L1" Optical Flow Algorithm.
@@ -1080,8 +905,6 @@ createOptFlow_DualTVL1
         Stopping criterion iterations number used in the numerical scheme.
 
 
-
-
 DenseOpticalFlow::calc
 --------------------------
 Calculates an optical flow.
@@ -1108,10 +931,6 @@ Releases all inner buffers.
 
 .. [Bradski98] Bradski, G.R. "Computer Vision Face Tracking for Use in a Perceptual User Interface", Intel, 1998
 
-.. [Bradski00] Davis, J.W. and Bradski, G.R. "Motion Segmentation and Pose Recognition with Motion History Gradients", WACV00, 2000
-
-.. [Davis97] Davis, J.W. and Bobick, A.F. "The Representation and Recognition of Action Using Temporal Templates", CVPR97, 1997
-
 .. [EP08] Evangelidis, G.D. and Psarakis E.Z. "Parametric Image Alignment using Enhanced Correlation Coefficient Maximization", IEEE Transactions on PAMI, vol. 32, no. 10, 2008
 
 .. [Farneback2003] Gunnar Farneback, Two-frame motion estimation based on polynomial expansion, Lecture Notes in Computer Science, 2003, (2749), , 363-370.
@@ -1126,8 +945,6 @@ Releases all inner buffers.
 
 .. [Welch95] Greg Welch and Gary Bishop "An Introduction to the Kalman Filter", 1995
 
-.. [Tao2012] Michael Tao, Jiamin Bai, Pushmeet Kohli and Sylvain Paris. SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm. Computer Graphics Forum (Eurographics 2012)
-
 .. [Zach2007] C. Zach, T. Pock and H. Bischof. "A Duality Based Approach for Realtime TV-L1 Optical Flow", In Proceedings of Pattern Recognition (DAGM), Heidelberg, Germany, pp. 214-223, 2007
 
 .. [Zivkovic2004] Z. Zivkovic. "Improved adaptive Gausian mixture model for background subtraction", International Conference Pattern Recognition, UK, August, 2004, http://www.zoranz.net/Publications/zivkovic2004ICPR.pdf. The code is very fast and performs also shadow detection. Number of Gausssian components is adapted per pixel.
diff --git a/modules/video/include/opencv2/video/background_segm.hpp b/modules/video/include/opencv2/video/background_segm.hpp
index 73988c8062..789f9db96d 100644
--- a/modules/video/include/opencv2/video/background_segm.hpp
+++ b/modules/video/include/opencv2/video/background_segm.hpp
@@ -66,39 +66,6 @@ public:
 };
 
 
-
-/*!
- Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm
-
- The class implements the following algorithm:
- "An improved adaptive background mixture model for real-time tracking with shadow detection"
- P. KadewTraKuPong and R. Bowden,
- Proc. 2nd European Workshp on Advanced Video-Based Surveillance Systems, 2001."
- http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/avbs01/avbs01.pdf
-
-*/
-class CV_EXPORTS_W BackgroundSubtractorMOG : public BackgroundSubtractor
-{
-public:
-    CV_WRAP virtual int getHistory() const = 0;
-    CV_WRAP virtual void setHistory(int nframes) = 0;
-
-    CV_WRAP virtual int getNMixtures() const = 0;
-    CV_WRAP virtual void setNMixtures(int nmix) = 0;
-
-    CV_WRAP virtual double getBackgroundRatio() const = 0;
-    CV_WRAP virtual void setBackgroundRatio(double backgroundRatio) = 0;
-
-    CV_WRAP virtual double getNoiseSigma() const = 0;
-    CV_WRAP virtual void setNoiseSigma(double noiseSigma) = 0;
-};
-
-CV_EXPORTS_W Ptr<BackgroundSubtractorMOG>
-    createBackgroundSubtractorMOG(int history=200, int nmixtures=5,
-                                  double backgroundRatio=0.7, double noiseSigma=0);
-
-
-
 /*!
  The class implements the following algorithm:
  "Improved adaptive Gausian mixture model for background subtraction"
@@ -189,51 +156,6 @@ CV_EXPORTS_W Ptr<BackgroundSubtractorKNN>
     createBackgroundSubtractorKNN(int history=500, double dist2Threshold=400.0,
                                    bool detectShadows=true);
 
-/**
- * Background Subtractor module. Takes a series of images and returns a sequence of mask (8UC1)
- * images of the same size, where 255 indicates Foreground and 0 represents Background.
- * This class implements an algorithm described in "Visual Tracking of Human Visitors under
- * Variable-Lighting Conditions for a Responsive Audio Art Installation," A. Godbehere,
- * A. Matsukawa, K. Goldberg, American Control Conference, Montreal, June 2012.
- */
-class CV_EXPORTS_W BackgroundSubtractorGMG : public BackgroundSubtractor
-{
-public:
-    CV_WRAP virtual int getMaxFeatures() const = 0;
-    CV_WRAP virtual void setMaxFeatures(int maxFeatures) = 0;
-
-    CV_WRAP virtual double getDefaultLearningRate() const = 0;
-    CV_WRAP virtual void setDefaultLearningRate(double lr) = 0;
-
-    CV_WRAP virtual int getNumFrames() const = 0;
-    CV_WRAP virtual void setNumFrames(int nframes) = 0;
-
-    CV_WRAP virtual int getQuantizationLevels() const = 0;
-    CV_WRAP virtual void setQuantizationLevels(int nlevels) = 0;
-
-    CV_WRAP virtual double getBackgroundPrior() const = 0;
-    CV_WRAP virtual void setBackgroundPrior(double bgprior) = 0;
-
-    CV_WRAP virtual int getSmoothingRadius() const = 0;
-    CV_WRAP virtual void setSmoothingRadius(int radius) = 0;
-
-    CV_WRAP virtual double getDecisionThreshold() const = 0;
-    CV_WRAP virtual void setDecisionThreshold(double thresh) = 0;
-
-    CV_WRAP virtual bool getUpdateBackgroundModel() const = 0;
-    CV_WRAP virtual void setUpdateBackgroundModel(bool update) = 0;
-
-    CV_WRAP virtual double getMinVal() const = 0;
-    CV_WRAP virtual void setMinVal(double val) = 0;
-
-    CV_WRAP virtual double getMaxVal() const = 0;
-    CV_WRAP virtual void setMaxVal(double val) = 0;
-};
-
-
-CV_EXPORTS_W Ptr<BackgroundSubtractorGMG> createBackgroundSubtractorGMG(int initializationFrames=120,
-                                                                        double decisionThreshold=0.8);
-
 } // cv
 
 #endif
diff --git a/modules/video/include/opencv2/video/tracking.hpp b/modules/video/include/opencv2/video/tracking.hpp
index 1cc27fb3ef..18a3088aef 100644
--- a/modules/video/include/opencv2/video/tracking.hpp
+++ b/modules/video/include/opencv2/video/tracking.hpp
@@ -55,28 +55,6 @@ enum { OPTFLOW_USE_INITIAL_FLOW     = 4,
        OPTFLOW_FARNEBACK_GAUSSIAN   = 256
      };
 
-enum { MOTION_TRANSLATION = 0,
-       MOTION_EUCLIDEAN   = 1,
-       MOTION_AFFINE      = 2,
-       MOTION_HOMOGRAPHY  = 3
-     };
-
-//! updates motion history image using the current silhouette
-CV_EXPORTS_W void updateMotionHistory( InputArray silhouette, InputOutputArray mhi,
-                                       double timestamp, double duration );
-
-//! computes the motion gradient orientation image from the motion history image
-CV_EXPORTS_W void calcMotionGradient( InputArray mhi, OutputArray mask, OutputArray orientation,
-                                      double delta1, double delta2, int apertureSize = 3 );
-
-//! computes the global orientation of the selected motion history image part
-CV_EXPORTS_W double calcGlobalOrientation( InputArray orientation, InputArray mask, InputArray mhi,
-                                           double timestamp, double duration );
-
-CV_EXPORTS_W void segmentMotion( InputArray mhi, OutputArray segmask,
-                                 CV_OUT std::vector<Rect>& boundingRects,
-                                 double timestamp, double segThresh );
-
 //! updates the object tracking window using CAMSHIFT algorithm
 CV_EXPORTS_W RotatedRect CamShift( InputArray probImage, CV_IN_OUT Rect& window,
                                    TermCriteria criteria );
@@ -109,6 +87,15 @@ CV_EXPORTS_W void calcOpticalFlowFarneback( InputArray prev, InputArray next, In
 // that maps one 2D point set to another or one image to another.
 CV_EXPORTS_W Mat estimateRigidTransform( InputArray src, InputArray dst, bool fullAffine );
 
+
+enum
+{
+    MOTION_TRANSLATION = 0,
+    MOTION_EUCLIDEAN   = 1,
+    MOTION_AFFINE      = 2,
+    MOTION_HOMOGRAPHY  = 3
+};
+
 //! estimates the best-fit Translation, Euclidean, Affine or Perspective Transformation
 // with respect to Enhanced Correlation Coefficient criterion that maps one image to
 // another (area-based alignment)
@@ -120,20 +107,6 @@ CV_EXPORTS_W double findTransformECC( InputArray templateImage, InputArray input
                                       InputOutputArray warpMatrix, int motionType = MOTION_AFFINE,
                                       TermCriteria criteria = TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 50, 0.001));
 
-
-//! computes dense optical flow using Simple Flow algorithm
-CV_EXPORTS_W void calcOpticalFlowSF( InputArray from, InputArray to, OutputArray flow,
-                                     int layers, int averaging_block_size, int max_flow);
-
-CV_EXPORTS_W void calcOpticalFlowSF( InputArray from, InputArray to, OutputArray flow, int layers,
-                                     int averaging_block_size, int max_flow,
-                                     double sigma_dist, double sigma_color, int postprocess_window,
-                                     double sigma_dist_fix, double sigma_color_fix, double occ_thr,
-                                     int upscale_averaging_radius, double upscale_sigma_dist,
-                                     double upscale_sigma_color, double speed_up_thr );
-
-
-
 /*!
  Kalman filter.
 
diff --git a/modules/video/perf/opencl/perf_motempl.cpp b/modules/video/perf/opencl/perf_motempl.cpp
index d603569024..638548395b 100644
--- a/modules/video/perf/opencl/perf_motempl.cpp
+++ b/modules/video/perf/opencl/perf_motempl.cpp
@@ -8,7 +8,7 @@
 #include "../perf_precomp.hpp"
 #include "opencv2/ts/ocl_perf.hpp"
 
-#ifdef HAVE_OPENCL
+#if 0 //def HAVE_OPENCL
 
 namespace cvtest {
 namespace ocl {
diff --git a/modules/video/src/affineflow.cpp b/modules/video/src/affineflow.cpp
deleted file mode 100644
index bad9da8af7..0000000000
--- a/modules/video/src/affineflow.cpp
+++ /dev/null
@@ -1,850 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "precomp.hpp"
-#include "opencv2/imgproc/imgproc_c.h"
-#include "opencv2/video/tracking_c.h"
-
-// to be moved to legacy
-
-static int icvMinimalPyramidSize( CvSize imgSize )
-{
-    return cvAlign(imgSize.width,8) * imgSize.height / 3;
-}
-
-
-static void
-icvInitPyramidalAlgorithm( const CvMat* imgA, const CvMat* imgB,
-                           CvMat* pyrA, CvMat* pyrB,
-                           int level, CvTermCriteria * criteria,
-                           int max_iters, int flags,
-                           uchar *** imgI, uchar *** imgJ,
-                           int **step, CvSize** size,
-                           double **scale, cv::AutoBuffer<uchar>* buffer )
-{
-    const int ALIGN = 8;
-    int pyrBytes, bufferBytes = 0, elem_size;
-    int level1 = level + 1;
-
-    int i;
-    CvSize imgSize, levelSize;
-
-    *imgI = *imgJ = 0;
-    *step = 0;
-    *scale = 0;
-    *size = 0;
-
-    /* check input arguments */
-    if( ((flags & CV_LKFLOW_PYR_A_READY) != 0 && !pyrA) ||
-        ((flags & CV_LKFLOW_PYR_B_READY) != 0 && !pyrB) )
-        CV_Error( CV_StsNullPtr, "Some of the precomputed pyramids are missing" );
-
-    if( level < 0 )
-        CV_Error( CV_StsOutOfRange, "The number of pyramid levels is negative" );
-
-    switch( criteria->type )
-    {
-    case CV_TERMCRIT_ITER:
-        criteria->epsilon = 0.f;
-        break;
-    case CV_TERMCRIT_EPS:
-        criteria->max_iter = max_iters;
-        break;
-    case CV_TERMCRIT_ITER | CV_TERMCRIT_EPS:
-        break;
-    default:
-        assert( 0 );
-        CV_Error( CV_StsBadArg, "Invalid termination criteria" );
-    }
-
-    /* compare squared values */
-    criteria->epsilon *= criteria->epsilon;
-
-    /* set pointers and step for every level */
-    pyrBytes = 0;
-
-    imgSize = cvGetSize(imgA);
-    elem_size = CV_ELEM_SIZE(imgA->type);
-    levelSize = imgSize;
-
-    for( i = 1; i < level1; i++ )
-    {
-        levelSize.width = (levelSize.width + 1) >> 1;
-        levelSize.height = (levelSize.height + 1) >> 1;
-
-        int tstep = cvAlign(levelSize.width,ALIGN) * elem_size;
-        pyrBytes += tstep * levelSize.height;
-    }
-
-    assert( pyrBytes <= imgSize.width * imgSize.height * elem_size * 4 / 3 );
-
-    /* buffer_size = <size for patches> + <size for pyramids> */
-    bufferBytes = (int)((level1 >= 0) * ((pyrA->data.ptr == 0) +
-        (pyrB->data.ptr == 0)) * pyrBytes +
-        (sizeof(imgI[0][0]) * 2 + sizeof(step[0][0]) +
-         sizeof(size[0][0]) + sizeof(scale[0][0])) * level1);
-
-    buffer->allocate( bufferBytes );
-
-    *imgI = (uchar **) (uchar*)(*buffer);
-    *imgJ = *imgI + level1;
-    *step = (int *) (*imgJ + level1);
-    *scale = (double *) (*step + level1);
-    *size = (CvSize *)(*scale + level1);
-
-    imgI[0][0] = imgA->data.ptr;
-    imgJ[0][0] = imgB->data.ptr;
-    step[0][0] = imgA->step;
-    scale[0][0] = 1;
-    size[0][0] = imgSize;
-
-    if( level > 0 )
-    {
-        uchar *bufPtr = (uchar *) (*size + level1);
-        uchar *ptrA = pyrA->data.ptr;
-        uchar *ptrB = pyrB->data.ptr;
-
-        if( !ptrA )
-        {
-            ptrA = bufPtr;
-            bufPtr += pyrBytes;
-        }
-
-        if( !ptrB )
-            ptrB = bufPtr;
-
-        levelSize = imgSize;
-
-        /* build pyramids for both frames */
-        for( i = 1; i <= level; i++ )
-        {
-            int levelBytes;
-            CvMat prev_level, next_level;
-
-            levelSize.width = (levelSize.width + 1) >> 1;
-            levelSize.height = (levelSize.height + 1) >> 1;
-
-            size[0][i] = levelSize;
-            step[0][i] = cvAlign( levelSize.width, ALIGN ) * elem_size;
-            scale[0][i] = scale[0][i - 1] * 0.5;
-
-            levelBytes = step[0][i] * levelSize.height;
-            imgI[0][i] = (uchar *) ptrA;
-            ptrA += levelBytes;
-
-            if( !(flags & CV_LKFLOW_PYR_A_READY) )
-            {
-                prev_level = cvMat( size[0][i-1].height, size[0][i-1].width, CV_8UC1 );
-                next_level = cvMat( size[0][i].height, size[0][i].width, CV_8UC1 );
-                cvSetData( &prev_level, imgI[0][i-1], step[0][i-1] );
-                cvSetData( &next_level, imgI[0][i], step[0][i] );
-                cvPyrDown( &prev_level, &next_level );
-            }
-
-            imgJ[0][i] = (uchar *) ptrB;
-            ptrB += levelBytes;
-
-            if( !(flags & CV_LKFLOW_PYR_B_READY) )
-            {
-                prev_level = cvMat( size[0][i-1].height, size[0][i-1].width, CV_8UC1 );
-                next_level = cvMat( size[0][i].height, size[0][i].width, CV_8UC1 );
-                cvSetData( &prev_level, imgJ[0][i-1], step[0][i-1] );
-                cvSetData( &next_level, imgJ[0][i], step[0][i] );
-                cvPyrDown( &prev_level, &next_level );
-            }
-        }
-    }
-}
-
-
-/* compute dI/dx and dI/dy */
-static void
-icvCalcIxIy_32f( const float* src, int src_step, float* dstX, float* dstY, int dst_step,
-                 CvSize src_size, const float* smooth_k, float* buffer0 )
-{
-    int src_width = src_size.width, dst_width = src_size.width-2;
-    int x, height = src_size.height - 2;
-    float* buffer1 = buffer0 + src_width;
-
-    src_step /= sizeof(src[0]);
-    dst_step /= sizeof(dstX[0]);
-
-    for( ; height--; src += src_step, dstX += dst_step, dstY += dst_step )
-    {
-        const float* src2 = src + src_step;
-        const float* src3 = src + src_step*2;
-
-        for( x = 0; x < src_width; x++ )
-        {
-            float t0 = (src3[x] + src[x])*smooth_k[0] + src2[x]*smooth_k[1];
-            float t1 = src3[x] - src[x];
-            buffer0[x] = t0; buffer1[x] = t1;
-        }
-
-        for( x = 0; x < dst_width; x++ )
-        {
-            float t0 = buffer0[x+2] - buffer0[x];
-            float t1 = (buffer1[x] + buffer1[x+2])*smooth_k[0] + buffer1[x+1]*smooth_k[1];
-            dstX[x] = t0; dstY[x] = t1;
-        }
-    }
-}
-
-
-#undef CV_8TO32F
-#define CV_8TO32F(a) (a)
-
-static const void*
-icvAdjustRect( const void* srcptr, int src_step, int pix_size,
-              CvSize src_size, CvSize win_size,
-              CvPoint ip, CvRect* pRect )
-{
-    CvRect rect;
-    const char* src = (const char*)srcptr;
-
-    if( ip.x >= 0 )
-    {
-        src += ip.x*pix_size;
-        rect.x = 0;
-    }
-    else
-    {
-        rect.x = -ip.x;
-        if( rect.x > win_size.width )
-            rect.x = win_size.width;
-    }
-
-    if( ip.x + win_size.width < src_size.width )
-        rect.width = win_size.width;
-    else
-    {
-        rect.width = src_size.width - ip.x - 1;
-        if( rect.width < 0 )
-        {
-            src += rect.width*pix_size;
-            rect.width = 0;
-        }
-        assert( rect.width <= win_size.width );
-    }
-
-    if( ip.y >= 0 )
-    {
-        src += ip.y * src_step;
-        rect.y = 0;
-    }
-    else
-        rect.y = -ip.y;
-
-    if( ip.y + win_size.height < src_size.height )
-        rect.height = win_size.height;
-    else
-    {
-        rect.height = src_size.height - ip.y - 1;
-        if( rect.height < 0 )
-        {
-            src += rect.height*src_step;
-            rect.height = 0;
-        }
-    }
-
-    *pRect = rect;
-    return src - rect.x*pix_size;
-}
-
-
-static CvStatus CV_STDCALL icvGetRectSubPix_8u32f_C1R
-( const uchar* src, int src_step, CvSize src_size,
- float* dst, int dst_step, CvSize win_size, CvPoint2D32f center )
-{
-    CvPoint ip;
-    float  a12, a22, b1, b2;
-    float a, b;
-    double s = 0;
-    int i, j;
-
-    center.x -= (win_size.width-1)*0.5f;
-    center.y -= (win_size.height-1)*0.5f;
-
-    ip.x = cvFloor( center.x );
-    ip.y = cvFloor( center.y );
-
-    if( win_size.width <= 0 || win_size.height <= 0 )
-        return CV_BADRANGE_ERR;
-
-    a = center.x - ip.x;
-    b = center.y - ip.y;
-    a = MAX(a,0.0001f);
-    a12 = a*(1.f-b);
-    a22 = a*b;
-    b1 = 1.f - b;
-    b2 = b;
-    s = (1. - a)/a;
-
-    src_step /= sizeof(src[0]);
-    dst_step /= sizeof(dst[0]);
-
-    if( 0 <= ip.x && ip.x + win_size.width < src_size.width &&
-       0 <= ip.y && ip.y + win_size.height < src_size.height )
-    {
-        // extracted rectangle is totally inside the image
-        src += ip.y * src_step + ip.x;
-
-#if 0
-        if( icvCopySubpix_8u32f_C1R_p &&
-           icvCopySubpix_8u32f_C1R_p( src, src_step, dst,
-                                     dst_step*sizeof(dst[0]), win_size, a, b ) >= 0 )
-            return CV_OK;
-#endif
-
-        for( ; win_size.height--; src += src_step, dst += dst_step )
-        {
-            float prev = (1 - a)*(b1*CV_8TO32F(src[0]) + b2*CV_8TO32F(src[src_step]));
-            for( j = 0; j < win_size.width; j++ )
-            {
-                float t = a12*CV_8TO32F(src[j+1]) + a22*CV_8TO32F(src[j+1+src_step]);
-                dst[j] = prev + t;
-                prev = (float)(t*s);
-            }
-        }
-    }
-    else
-    {
-        CvRect r;
-
-        src = (const uchar*)icvAdjustRect( src, src_step*sizeof(*src),
-                                          sizeof(*src), src_size, win_size,ip, &r);
-
-        for( i = 0; i < win_size.height; i++, dst += dst_step )
-        {
-            const uchar *src2 = src + src_step;
-
-            if( i < r.y || i >= r.height )
-                src2 -= src_step;
-
-            for( j = 0; j < r.x; j++ )
-            {
-                float s0 = CV_8TO32F(src[r.x])*b1 +
-                CV_8TO32F(src2[r.x])*b2;
-
-                dst[j] = (float)(s0);
-            }
-
-            if( j < r.width )
-            {
-                float prev = (1 - a)*(b1*CV_8TO32F(src[j]) + b2*CV_8TO32F(src2[j]));
-
-                for( ; j < r.width; j++ )
-                {
-                    float t = a12*CV_8TO32F(src[j+1]) + a22*CV_8TO32F(src2[j+1]);
-                    dst[j] = prev + t;
-                    prev = (float)(t*s);
-                }
-            }
-
-            for( ; j < win_size.width; j++ )
-            {
-                float s0 = CV_8TO32F(src[r.width])*b1 +
-                CV_8TO32F(src2[r.width])*b2;
-
-                dst[j] = (float)(s0);
-            }
-
-            if( i < r.height )
-                src = src2;
-        }
-    }
-
-    return CV_OK;
-}
-
-
-#define ICV_32F8U(x)  ((uchar)cvRound(x))
-
-#define ICV_DEF_GET_QUADRANGLE_SUB_PIX_FUNC( flavor, srctype, dsttype, worktype, cast_macro, cvt ) \
-static CvStatus CV_STDCALL icvGetQuadrangleSubPix_##flavor##_C1R                    \
-              ( const srctype * src, int src_step, CvSize src_size,                 \
-                dsttype *dst, int dst_step, CvSize win_size, const float *matrix )  \
-{                                                                                   \
-    int x, y;                                                                       \
-    double dx = (win_size.width - 1)*0.5;                                           \
-    double dy = (win_size.height - 1)*0.5;                                          \
-    double A11 = matrix[0], A12 = matrix[1], A13 = matrix[2]-A11*dx-A12*dy;         \
-    double A21 = matrix[3], A22 = matrix[4], A23 = matrix[5]-A21*dx-A22*dy;         \
-                                                                                    \
-    src_step /= sizeof(srctype);                                                    \
-    dst_step /= sizeof(dsttype);                                                    \
-                                                                                    \
-    for( y = 0; y < win_size.height; y++, dst += dst_step )                         \
-    {                                                                               \
-        double xs = A12*y + A13;                                                    \
-        double ys = A22*y + A23;                                                    \
-        double xe = A11*(win_size.width-1) + A12*y + A13;                           \
-        double ye = A21*(win_size.width-1) + A22*y + A23;                           \
-                                                                                    \
-        if( (unsigned)(cvFloor(xs)-1) < (unsigned)(src_size.width - 3) &&           \
-            (unsigned)(cvFloor(ys)-1) < (unsigned)(src_size.height - 3) &&          \
-            (unsigned)(cvFloor(xe)-1) < (unsigned)(src_size.width - 3) &&           \
-            (unsigned)(cvFloor(ye)-1) < (unsigned)(src_size.height - 3))            \
-        {                                                                           \
-            for( x = 0; x < win_size.width; x++ )                                   \
-            {                                                                       \
-                int ixs = cvFloor( xs );                                            \
-                int iys = cvFloor( ys );                                            \
-                const srctype *ptr = src + src_step*iys + ixs;                      \
-                double a = xs - ixs, b = ys - iys, a1 = 1.f - a;                    \
-                worktype p0 = cvt(ptr[0])*a1 + cvt(ptr[1])*a;                       \
-                worktype p1 = cvt(ptr[src_step])*a1 + cvt(ptr[src_step+1])*a;       \
-                xs += A11;                                                          \
-                ys += A21;                                                          \
-                                                                                    \
-                dst[x] = cast_macro(p0 + b * (p1 - p0));                            \
-            }                                                                       \
-        }                                                                           \
-        else                                                                        \
-        {                                                                           \
-            for( x = 0; x < win_size.width; x++ )                                   \
-            {                                                                       \
-                int ixs = cvFloor( xs ), iys = cvFloor( ys );                       \
-                double a = xs - ixs, b = ys - iys, a1 = 1.f - a;                    \
-                const srctype *ptr0, *ptr1;                                         \
-                worktype p0, p1;                                                    \
-                xs += A11; ys += A21;                                               \
-                                                                                    \
-                if( (unsigned)iys < (unsigned)(src_size.height-1) )                 \
-                    ptr0 = src + src_step*iys, ptr1 = ptr0 + src_step;              \
-                else                                                                \
-                    ptr0 = ptr1 = src + (iys < 0 ? 0 : src_size.height-1)*src_step; \
-                                                                                    \
-                if( (unsigned)ixs < (unsigned)(src_size.width-1) )                  \
-                {                                                                   \
-                    p0 = cvt(ptr0[ixs])*a1 + cvt(ptr0[ixs+1])*a;                    \
-                    p1 = cvt(ptr1[ixs])*a1 + cvt(ptr1[ixs+1])*a;                    \
-                }                                                                   \
-                else                                                                \
-                {                                                                   \
-                    ixs = ixs < 0 ? 0 : src_size.width - 1;                         \
-                    p0 = cvt(ptr0[ixs]); p1 = cvt(ptr1[ixs]);                       \
-                }                                                                   \
-                dst[x] = cast_macro(p0 + b * (p1 - p0));                            \
-            }                                                                       \
-        }                                                                           \
-    }                                                                               \
-                                                                                    \
-    return CV_OK;                                                                   \
-}
-
-ICV_DEF_GET_QUADRANGLE_SUB_PIX_FUNC( 8u32f, uchar, float, double, cv::saturate_cast<float>, CV_8TO32F )
-
-/* Affine tracking algorithm */
-
-CV_IMPL void
-cvCalcAffineFlowPyrLK( const void* arrA, const void* arrB,
-                       void* pyrarrA, void* pyrarrB,
-                       const CvPoint2D32f * featuresA,
-                       CvPoint2D32f * featuresB,
-                       float *matrices, int count,
-                       CvSize winSize, int level,
-                       char *status, float *error,
-                       CvTermCriteria criteria, int flags )
-{
-    const int MAX_ITERS = 100;
-
-    cv::AutoBuffer<char> _status;
-    cv::AutoBuffer<uchar> buffer;
-    cv::AutoBuffer<uchar> pyr_buffer;
-
-    CvMat stubA, *imgA = (CvMat*)arrA;
-    CvMat stubB, *imgB = (CvMat*)arrB;
-    CvMat pstubA, *pyrA = (CvMat*)pyrarrA;
-    CvMat pstubB, *pyrB = (CvMat*)pyrarrB;
-
-    static const float smoothKernel[] = { 0.09375, 0.3125, 0.09375 };  /* 3/32, 10/32, 3/32 */
-
-    int bufferBytes = 0;
-
-    uchar **imgI = 0;
-    uchar **imgJ = 0;
-    int *step = 0;
-    double *scale = 0;
-    CvSize* size = 0;
-
-    float *patchI;
-    float *patchJ;
-    float *Ix;
-    float *Iy;
-
-    int i, j, k, l;
-
-    CvSize patchSize = cvSize( winSize.width * 2 + 1, winSize.height * 2 + 1 );
-    int patchLen = patchSize.width * patchSize.height;
-    int patchStep = patchSize.width * sizeof( patchI[0] );
-
-    CvSize srcPatchSize = cvSize( patchSize.width + 2, patchSize.height + 2 );
-    int srcPatchLen = srcPatchSize.width * srcPatchSize.height;
-    int srcPatchStep = srcPatchSize.width * sizeof( patchI[0] );
-    CvSize imgSize;
-    float eps = (float)MIN(winSize.width, winSize.height);
-
-    imgA = cvGetMat( imgA, &stubA );
-    imgB = cvGetMat( imgB, &stubB );
-
-    if( CV_MAT_TYPE( imgA->type ) != CV_8UC1 )
-        CV_Error( CV_StsUnsupportedFormat, "" );
-
-    if( !CV_ARE_TYPES_EQ( imgA, imgB ))
-        CV_Error( CV_StsUnmatchedFormats, "" );
-
-    if( !CV_ARE_SIZES_EQ( imgA, imgB ))
-        CV_Error( CV_StsUnmatchedSizes, "" );
-
-    if( imgA->step != imgB->step )
-        CV_Error( CV_StsUnmatchedSizes, "imgA and imgB must have equal steps" );
-
-    if( !matrices )
-        CV_Error( CV_StsNullPtr, "" );
-
-    imgSize = cv::Size(imgA->cols, imgA->rows);
-
-    if( pyrA )
-    {
-        pyrA = cvGetMat( pyrA, &pstubA );
-
-        if( pyrA->step*pyrA->height < icvMinimalPyramidSize( imgSize ) )
-            CV_Error( CV_StsBadArg, "pyramid A has insufficient size" );
-    }
-    else
-    {
-        pyrA = &pstubA;
-        pyrA->data.ptr = 0;
-    }
-
-    if( pyrB )
-    {
-        pyrB = cvGetMat( pyrB, &pstubB );
-
-        if( pyrB->step*pyrB->height < icvMinimalPyramidSize( imgSize ) )
-            CV_Error( CV_StsBadArg, "pyramid B has insufficient size" );
-    }
-    else
-    {
-        pyrB = &pstubB;
-        pyrB->data.ptr = 0;
-    }
-
-    if( count == 0 )
-        return;
-
-    /* check input arguments */
-    if( !featuresA || !featuresB || !matrices )
-        CV_Error( CV_StsNullPtr, "" );
-
-    if( winSize.width <= 1 || winSize.height <= 1 )
-        CV_Error( CV_StsOutOfRange, "the search window is too small" );
-
-    if( count < 0 )
-        CV_Error( CV_StsOutOfRange, "" );
-
-    icvInitPyramidalAlgorithm( imgA, imgB,
-        pyrA, pyrB, level, &criteria, MAX_ITERS, flags,
-        &imgI, &imgJ, &step, &size, &scale, &pyr_buffer );
-
-    /* buffer_size = <size for patches> + <size for pyramids> */
-    bufferBytes = (srcPatchLen + patchLen*3)*sizeof(patchI[0]) + (36*2 + 6)*sizeof(double);
-
-    buffer.allocate(bufferBytes);
-
-    if( !status )
-    {
-        _status.allocate(count);
-        status = _status;
-    }
-
-    patchI = (float *)(uchar*)buffer;
-    patchJ = patchI + srcPatchLen;
-    Ix = patchJ + patchLen;
-    Iy = Ix + patchLen;
-
-    if( status )
-        memset( status, 1, count );
-
-    if( !(flags & CV_LKFLOW_INITIAL_GUESSES) )
-    {
-        memcpy( featuresB, featuresA, count * sizeof( featuresA[0] ));
-        for( i = 0; i < count * 4; i += 4 )
-        {
-            matrices[i] = matrices[i + 3] = 1.f;
-            matrices[i + 1] = matrices[i + 2] = 0.f;
-        }
-    }
-
-    for( i = 0; i < count; i++ )
-    {
-        featuresB[i].x = (float)(featuresB[i].x * scale[level] * 0.5);
-        featuresB[i].y = (float)(featuresB[i].y * scale[level] * 0.5);
-    }
-
-    /* do processing from top pyramid level (smallest image)
-       to the bottom (original image) */
-    for( l = level; l >= 0; l-- )
-    {
-        CvSize levelSize = size[l];
-        int levelStep = step[l];
-
-        /* find flow for each given point at the particular level */
-        for( i = 0; i < count; i++ )
-        {
-            CvPoint2D32f u;
-            float Av[6];
-            double G[36];
-            double meanI = 0, meanJ = 0;
-            int x, y;
-            int pt_status = status[i];
-            CvMat mat;
-
-            if( !pt_status )
-                continue;
-
-            Av[0] = matrices[i*4];
-            Av[1] = matrices[i*4+1];
-            Av[3] = matrices[i*4+2];
-            Av[4] = matrices[i*4+3];
-
-            Av[2] = featuresB[i].x += featuresB[i].x;
-            Av[5] = featuresB[i].y += featuresB[i].y;
-
-            u.x = (float) (featuresA[i].x * scale[l]);
-            u.y = (float) (featuresA[i].y * scale[l]);
-
-            if( u.x < -eps || u.x >= levelSize.width+eps ||
-                u.y < -eps || u.y >= levelSize.height+eps ||
-                icvGetRectSubPix_8u32f_C1R( imgI[l], levelStep,
-                levelSize, patchI, srcPatchStep, srcPatchSize, u ) < 0 )
-            {
-                /* point is outside the image. take the next */
-                if( l == 0 )
-                    status[i] = 0;
-                continue;
-            }
-
-            icvCalcIxIy_32f( patchI, srcPatchStep, Ix, Iy,
-                (srcPatchSize.width-2)*sizeof(patchI[0]), srcPatchSize,
-                smoothKernel, patchJ );
-
-            /* repack patchI (remove borders) */
-            for( k = 0; k < patchSize.height; k++ )
-                memcpy( patchI + k * patchSize.width,
-                        patchI + (k + 1) * srcPatchSize.width + 1, patchStep );
-
-            memset( G, 0, sizeof( G ));
-
-            /* calculate G matrix */
-            for( y = -winSize.height, k = 0; y <= winSize.height; y++ )
-            {
-                for( x = -winSize.width; x <= winSize.width; x++, k++ )
-                {
-                    double ixix = ((double) Ix[k]) * Ix[k];
-                    double ixiy = ((double) Ix[k]) * Iy[k];
-                    double iyiy = ((double) Iy[k]) * Iy[k];
-
-                    double xx, xy, yy;
-
-                    G[0] += ixix;
-                    G[1] += ixiy;
-                    G[2] += x * ixix;
-                    G[3] += y * ixix;
-                    G[4] += x * ixiy;
-                    G[5] += y * ixiy;
-
-                    // G[6] == G[1]
-                    G[7] += iyiy;
-                    // G[8] == G[4]
-                    // G[9] == G[5]
-                    G[10] += x * iyiy;
-                    G[11] += y * iyiy;
-
-                    xx = x * x;
-                    xy = x * y;
-                    yy = y * y;
-
-                    // G[12] == G[2]
-                    // G[13] == G[8] == G[4]
-                    G[14] += xx * ixix;
-                    G[15] += xy * ixix;
-                    G[16] += xx * ixiy;
-                    G[17] += xy * ixiy;
-
-                    // G[18] == G[3]
-                    // G[19] == G[9]
-                    // G[20] == G[15]
-                    G[21] += yy * ixix;
-                    // G[22] == G[17]
-                    G[23] += yy * ixiy;
-
-                    // G[24] == G[4]
-                    // G[25] == G[10]
-                    // G[26] == G[16]
-                    // G[27] == G[22]
-                    G[28] += xx * iyiy;
-                    G[29] += xy * iyiy;
-
-                    // G[30] == G[5]
-                    // G[31] == G[11]
-                    // G[32] == G[17]
-                    // G[33] == G[23]
-                    // G[34] == G[29]
-                    G[35] += yy * iyiy;
-
-                    meanI += patchI[k];
-                }
-            }
-
-            meanI /= patchSize.width*patchSize.height;
-
-            G[8] = G[4];
-            G[9] = G[5];
-            G[22] = G[17];
-
-            // fill part of G below its diagonal
-            for( y = 1; y < 6; y++ )
-                for( x = 0; x < y; x++ )
-                    G[y * 6 + x] = G[x * 6 + y];
-
-            cvInitMatHeader( &mat, 6, 6, CV_64FC1, G );
-
-            if( cvInvert( &mat, &mat, CV_SVD ) < 1e-4 )
-            {
-                /* bad matrix. take the next point */
-                if( l == 0 )
-                    status[i] = 0;
-                continue;
-            }
-
-            for( j = 0; j < criteria.max_iter; j++ )
-            {
-                double b[6] = {0,0,0,0,0,0}, eta[6];
-                double t0, t1, s = 0;
-
-                if( Av[2] < -eps || Av[2] >= levelSize.width+eps ||
-                    Av[5] < -eps || Av[5] >= levelSize.height+eps ||
-                    icvGetQuadrangleSubPix_8u32f_C1R( imgJ[l], levelStep,
-                    levelSize, patchJ, patchStep, patchSize, Av ) < 0 )
-                {
-                    pt_status = 0;
-                    break;
-                }
-
-                for( y = -winSize.height, k = 0, meanJ = 0; y <= winSize.height; y++ )
-                    for( x = -winSize.width; x <= winSize.width; x++, k++ )
-                        meanJ += patchJ[k];
-
-                meanJ = meanJ / (patchSize.width * patchSize.height) - meanI;
-
-                for( y = -winSize.height, k = 0; y <= winSize.height; y++ )
-                {
-                    for( x = -winSize.width; x <= winSize.width; x++, k++ )
-                    {
-                        double t = patchI[k] - patchJ[k] + meanJ;
-                        double ixt = Ix[k] * t;
-                        double iyt = Iy[k] * t;
-
-                        s += t;
-
-                        b[0] += ixt;
-                        b[1] += iyt;
-                        b[2] += x * ixt;
-                        b[3] += y * ixt;
-                        b[4] += x * iyt;
-                        b[5] += y * iyt;
-                    }
-                }
-
-                for( k = 0; k < 6; k++ )
-                    eta[k] = G[k*6]*b[0] + G[k*6+1]*b[1] + G[k*6+2]*b[2] +
-                        G[k*6+3]*b[3] + G[k*6+4]*b[4] + G[k*6+5]*b[5];
-
-                Av[2] = (float)(Av[2] + Av[0] * eta[0] + Av[1] * eta[1]);
-                Av[5] = (float)(Av[5] + Av[3] * eta[0] + Av[4] * eta[1]);
-
-                t0 = Av[0] * (1 + eta[2]) + Av[1] * eta[4];
-                t1 = Av[0] * eta[3] + Av[1] * (1 + eta[5]);
-                Av[0] = (float)t0;
-                Av[1] = (float)t1;
-
-                t0 = Av[3] * (1 + eta[2]) + Av[4] * eta[4];
-                t1 = Av[3] * eta[3] + Av[4] * (1 + eta[5]);
-                Av[3] = (float)t0;
-                Av[4] = (float)t1;
-
-                if( eta[0] * eta[0] + eta[1] * eta[1] < criteria.epsilon )
-                    break;
-            }
-
-            if( pt_status != 0 || l == 0 )
-            {
-                status[i] = (char)pt_status;
-                featuresB[i].x = Av[2];
-                featuresB[i].y = Av[5];
-
-                matrices[i*4] = Av[0];
-                matrices[i*4+1] = Av[1];
-                matrices[i*4+2] = Av[3];
-                matrices[i*4+3] = Av[4];
-            }
-
-            if( pt_status && l == 0 && error )
-            {
-                /* calc error */
-                double err = 0;
-
-                for( y = 0, k = 0; y < patchSize.height; y++ )
-                {
-                    for( x = 0; x < patchSize.width; x++, k++ )
-                    {
-                        double t = patchI[k] - patchJ[k] + meanJ;
-                        err += t * t;
-                    }
-                }
-                error[i] = (float)std::sqrt(err);
-            }
-        }
-    }
-}
diff --git a/modules/video/src/bgfg_gaussmix.cpp b/modules/video/src/bgfg_gaussmix.cpp
deleted file mode 100644
index b5ad039e27..0000000000
--- a/modules/video/src/bgfg_gaussmix.cpp
+++ /dev/null
@@ -1,472 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                          License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "precomp.hpp"
-#include <float.h>
-
-// to make sure we can use these short names
-#undef K
-#undef L
-#undef T
-
-// This is based on the "An Improved Adaptive Background Mixture Model for
-// Real-time Tracking with Shadow Detection" by P. KaewTraKulPong and R. Bowden
-// http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/avbs01/avbs01.pdf
-//
-// The windowing method is used, but not the shadow detection. I make some of my
-// own modifications which make more sense. There are some errors in some of their
-// equations.
-//
-
-namespace cv
-{
-
-static const int defaultNMixtures = 5;
-static const int defaultHistory = 200;
-static const double defaultBackgroundRatio = 0.7;
-static const double defaultVarThreshold = 2.5*2.5;
-static const double defaultNoiseSigma = 30*0.5;
-static const double defaultInitialWeight = 0.05;
-
-class BackgroundSubtractorMOGImpl : public BackgroundSubtractorMOG
-{
-public:
-    //! the default constructor
-    BackgroundSubtractorMOGImpl()
-    {
-        frameSize = Size(0,0);
-        frameType = 0;
-
-        nframes = 0;
-        nmixtures = defaultNMixtures;
-        history = defaultHistory;
-        varThreshold = defaultVarThreshold;
-        backgroundRatio = defaultBackgroundRatio;
-        noiseSigma = defaultNoiseSigma;
-        name_ = "BackgroundSubtractor.MOG";
-    }
-    // the full constructor that takes the length of the history,
-    // the number of gaussian mixtures, the background ratio parameter and the noise strength
-    BackgroundSubtractorMOGImpl(int _history, int _nmixtures, double _backgroundRatio, double _noiseSigma=0)
-    {
-        frameSize = Size(0,0);
-        frameType = 0;
-
-        nframes = 0;
-        nmixtures = std::min(_nmixtures > 0 ? _nmixtures : defaultNMixtures, 8);
-        history = _history > 0 ? _history : defaultHistory;
-        varThreshold = defaultVarThreshold;
-        backgroundRatio = std::min(_backgroundRatio > 0 ? _backgroundRatio : 0.95, 1.);
-        noiseSigma = _noiseSigma <= 0 ? defaultNoiseSigma : _noiseSigma;
-    }
-
-    //! the update operator
-    virtual void apply(InputArray image, OutputArray fgmask, double learningRate=0);
-
-    //! re-initiaization method
-    virtual void initialize(Size _frameSize, int _frameType)
-    {
-        frameSize = _frameSize;
-        frameType = _frameType;
-        nframes = 0;
-
-        int nchannels = CV_MAT_CN(frameType);
-        CV_Assert( CV_MAT_DEPTH(frameType) == CV_8U );
-
-        // for each gaussian mixture of each pixel bg model we store ...
-        // the mixture sort key (w/sum_of_variances), the mixture weight (w),
-        // the mean (nchannels values) and
-        // the diagonal covariance matrix (another nchannels values)
-        bgmodel.create( 1, frameSize.height*frameSize.width*nmixtures*(2 + 2*nchannels), CV_32F );
-        bgmodel = Scalar::all(0);
-    }
-
-    virtual AlgorithmInfo* info() const { return 0; }
-
-    virtual void getBackgroundImage(OutputArray) const
-    {
-        CV_Error( Error::StsNotImplemented, "" );
-    }
-
-    virtual int getHistory() const { return history; }
-    virtual void setHistory(int _nframes) { history = _nframes; }
-
-    virtual int getNMixtures() const { return nmixtures; }
-    virtual void setNMixtures(int nmix) { nmixtures = nmix; }
-
-    virtual double getBackgroundRatio() const { return backgroundRatio; }
-    virtual void setBackgroundRatio(double _backgroundRatio) { backgroundRatio = _backgroundRatio; }
-
-    virtual double getNoiseSigma() const { return noiseSigma; }
-    virtual void setNoiseSigma(double _noiseSigma) { noiseSigma = _noiseSigma; }
-
-    virtual void write(FileStorage& fs) const
-    {
-        fs << "name" << name_
-           << "history" << history
-           << "nmixtures" << nmixtures
-           << "backgroundRatio" << backgroundRatio
-           << "noiseSigma" << noiseSigma;
-    }
-
-    virtual void read(const FileNode& fn)
-    {
-        CV_Assert( (String)fn["name"] == name_ );
-        history = (int)fn["history"];
-        nmixtures = (int)fn["nmixtures"];
-        backgroundRatio = (double)fn["backgroundRatio"];
-        noiseSigma = (double)fn["noiseSigma"];
-    }
-
-protected:
-    Size frameSize;
-    int frameType;
-    Mat bgmodel;
-    int nframes;
-    int history;
-    int nmixtures;
-    double varThreshold;
-    double backgroundRatio;
-    double noiseSigma;
-    String name_;
-};
-
-
-template<typename VT> struct MixData
-{
-    float sortKey;
-    float weight;
-    VT mean;
-    VT var;
-};
-
-
-static void process8uC1( const Mat& image, Mat& fgmask, double learningRate,
-                         Mat& bgmodel, int nmixtures, double backgroundRatio,
-                         double varThreshold, double noiseSigma )
-{
-    int x, y, k, k1, rows = image.rows, cols = image.cols;
-    float alpha = (float)learningRate, T = (float)backgroundRatio, vT = (float)varThreshold;
-    int K = nmixtures;
-    MixData<float>* mptr = (MixData<float>*)bgmodel.data;
-
-    const float w0 = (float)defaultInitialWeight;
-    const float sk0 = (float)(w0/(defaultNoiseSigma*2));
-    const float var0 = (float)(defaultNoiseSigma*defaultNoiseSigma*4);
-    const float minVar = (float)(noiseSigma*noiseSigma);
-
-    for( y = 0; y < rows; y++ )
-    {
-        const uchar* src = image.ptr<uchar>(y);
-        uchar* dst = fgmask.ptr<uchar>(y);
-
-        if( alpha > 0 )
-        {
-            for( x = 0; x < cols; x++, mptr += K )
-            {
-                float wsum = 0;
-                float pix = src[x];
-                int kHit = -1, kForeground = -1;
-
-                for( k = 0; k < K; k++ )
-                {
-                    float w = mptr[k].weight;
-                    wsum += w;
-                    if( w < FLT_EPSILON )
-                        break;
-                    float mu = mptr[k].mean;
-                    float var = mptr[k].var;
-                    float diff = pix - mu;
-                    float d2 = diff*diff;
-                    if( d2 < vT*var )
-                    {
-                        wsum -= w;
-                        float dw = alpha*(1.f - w);
-                        mptr[k].weight = w + dw;
-                        mptr[k].mean = mu + alpha*diff;
-                        var = std::max(var + alpha*(d2 - var), minVar);
-                        mptr[k].var = var;
-                        mptr[k].sortKey = w/std::sqrt(var);
-
-                        for( k1 = k-1; k1 >= 0; k1-- )
-                        {
-                            if( mptr[k1].sortKey >= mptr[k1+1].sortKey )
-                                break;
-                            std::swap( mptr[k1], mptr[k1+1] );
-                        }
-
-                        kHit = k1+1;
-                        break;
-                    }
-                }
-
-                if( kHit < 0 ) // no appropriate gaussian mixture found at all, remove the weakest mixture and create a new one
-                {
-                    kHit = k = std::min(k, K-1);
-                    wsum += w0 - mptr[k].weight;
-                    mptr[k].weight = w0;
-                    mptr[k].mean = pix;
-                    mptr[k].var = var0;
-                    mptr[k].sortKey = sk0;
-                }
-                else
-                    for( ; k < K; k++ )
-                        wsum += mptr[k].weight;
-
-                float wscale = 1.f/wsum;
-                wsum = 0;
-                for( k = 0; k < K; k++ )
-                {
-                    wsum += mptr[k].weight *= wscale;
-                    mptr[k].sortKey *= wscale;
-                    if( wsum > T && kForeground < 0 )
-                        kForeground = k+1;
-                }
-
-                dst[x] = (uchar)(-(kHit >= kForeground));
-            }
-        }
-        else
-        {
-            for( x = 0; x < cols; x++, mptr += K )
-            {
-                float pix = src[x];
-                int kHit = -1, kForeground = -1;
-
-                for( k = 0; k < K; k++ )
-                {
-                    if( mptr[k].weight < FLT_EPSILON )
-                        break;
-                    float mu = mptr[k].mean;
-                    float var = mptr[k].var;
-                    float diff = pix - mu;
-                    float d2 = diff*diff;
-                    if( d2 < vT*var )
-                    {
-                        kHit = k;
-                        break;
-                    }
-                }
-
-                if( kHit >= 0 )
-                {
-                    float wsum = 0;
-                    for( k = 0; k < K; k++ )
-                    {
-                        wsum += mptr[k].weight;
-                        if( wsum > T )
-                        {
-                            kForeground = k+1;
-                            break;
-                        }
-                    }
-                }
-
-                dst[x] = (uchar)(kHit < 0 || kHit >= kForeground ? 255 : 0);
-            }
-        }
-    }
-}
-
-
-static void process8uC3( const Mat& image, Mat& fgmask, double learningRate,
-                         Mat& bgmodel, int nmixtures, double backgroundRatio,
-                         double varThreshold, double noiseSigma )
-{
-    int x, y, k, k1, rows = image.rows, cols = image.cols;
-    float alpha = (float)learningRate, T = (float)backgroundRatio, vT = (float)varThreshold;
-    int K = nmixtures;
-
-    const float w0 = (float)defaultInitialWeight;
-    const float sk0 = (float)(w0/(defaultNoiseSigma*2*std::sqrt(3.)));
-    const float var0 = (float)(defaultNoiseSigma*defaultNoiseSigma*4);
-    const float minVar = (float)(noiseSigma*noiseSigma);
-    MixData<Vec3f>* mptr = (MixData<Vec3f>*)bgmodel.data;
-
-    for( y = 0; y < rows; y++ )
-    {
-        const uchar* src = image.ptr<uchar>(y);
-        uchar* dst = fgmask.ptr<uchar>(y);
-
-        if( alpha > 0 )
-        {
-            for( x = 0; x < cols; x++, mptr += K )
-            {
-                float wsum = 0;
-                Vec3f pix(src[x*3], src[x*3+1], src[x*3+2]);
-                int kHit = -1, kForeground = -1;
-
-                for( k = 0; k < K; k++ )
-                {
-                    float w = mptr[k].weight;
-                    wsum += w;
-                    if( w < FLT_EPSILON )
-                        break;
-                    Vec3f mu = mptr[k].mean;
-                    Vec3f var = mptr[k].var;
-                    Vec3f diff = pix - mu;
-                    float d2 = diff.dot(diff);
-                    if( d2 < vT*(var[0] + var[1] + var[2]) )
-                    {
-                        wsum -= w;
-                        float dw = alpha*(1.f - w);
-                        mptr[k].weight = w + dw;
-                        mptr[k].mean = mu + alpha*diff;
-                        var = Vec3f(std::max(var[0] + alpha*(diff[0]*diff[0] - var[0]), minVar),
-                                    std::max(var[1] + alpha*(diff[1]*diff[1] - var[1]), minVar),
-                                    std::max(var[2] + alpha*(diff[2]*diff[2] - var[2]), minVar));
-                        mptr[k].var = var;
-                        mptr[k].sortKey = w/std::sqrt(var[0] + var[1] + var[2]);
-
-                        for( k1 = k-1; k1 >= 0; k1-- )
-                        {
-                            if( mptr[k1].sortKey >= mptr[k1+1].sortKey )
-                                break;
-                            std::swap( mptr[k1], mptr[k1+1] );
-                        }
-
-                        kHit = k1+1;
-                        break;
-                    }
-                }
-
-                if( kHit < 0 ) // no appropriate gaussian mixture found at all, remove the weakest mixture and create a new one
-                {
-                    kHit = k = std::min(k, K-1);
-                    wsum += w0 - mptr[k].weight;
-                    mptr[k].weight = w0;
-                    mptr[k].mean = pix;
-                    mptr[k].var = Vec3f(var0, var0, var0);
-                    mptr[k].sortKey = sk0;
-                }
-                else
-                    for( ; k < K; k++ )
-                        wsum += mptr[k].weight;
-
-                float wscale = 1.f/wsum;
-                wsum = 0;
-                for( k = 0; k < K; k++ )
-                {
-                    wsum += mptr[k].weight *= wscale;
-                    mptr[k].sortKey *= wscale;
-                    if( wsum > T && kForeground < 0 )
-                        kForeground = k+1;
-                }
-
-                dst[x] = (uchar)(-(kHit >= kForeground));
-            }
-        }
-        else
-        {
-            for( x = 0; x < cols; x++, mptr += K )
-            {
-                Vec3f pix(src[x*3], src[x*3+1], src[x*3+2]);
-                int kHit = -1, kForeground = -1;
-
-                for( k = 0; k < K; k++ )
-                {
-                    if( mptr[k].weight < FLT_EPSILON )
-                        break;
-                    Vec3f mu = mptr[k].mean;
-                    Vec3f var = mptr[k].var;
-                    Vec3f diff = pix - mu;
-                    float d2 = diff.dot(diff);
-                    if( d2 < vT*(var[0] + var[1] + var[2]) )
-                    {
-                        kHit = k;
-                        break;
-                    }
-                }
-
-                if( kHit >= 0 )
-                {
-                    float wsum = 0;
-                    for( k = 0; k < K; k++ )
-                    {
-                        wsum += mptr[k].weight;
-                        if( wsum > T )
-                        {
-                            kForeground = k+1;
-                            break;
-                        }
-                    }
-                }
-
-                dst[x] = (uchar)(kHit < 0 || kHit >= kForeground ? 255 : 0);
-            }
-        }
-    }
-}
-
-void BackgroundSubtractorMOGImpl::apply(InputArray _image, OutputArray _fgmask, double learningRate)
-{
-    Mat image = _image.getMat();
-    bool needToInitialize = nframes == 0 || learningRate >= 1 || image.size() != frameSize || image.type() != frameType;
-
-    if( needToInitialize )
-        initialize(image.size(), image.type());
-
-    CV_Assert( image.depth() == CV_8U );
-    _fgmask.create( image.size(), CV_8U );
-    Mat fgmask = _fgmask.getMat();
-
-    ++nframes;
-    learningRate = learningRate >= 0 && nframes > 1 ? learningRate : 1./std::min( nframes, history );
-    CV_Assert(learningRate >= 0);
-
-    if( image.type() == CV_8UC1 )
-        process8uC1( image, fgmask, learningRate, bgmodel, nmixtures, backgroundRatio, varThreshold, noiseSigma );
-    else if( image.type() == CV_8UC3 )
-        process8uC3( image, fgmask, learningRate, bgmodel, nmixtures, backgroundRatio, varThreshold, noiseSigma );
-    else
-        CV_Error( Error::StsUnsupportedFormat, "Only 1- and 3-channel 8-bit images are supported in BackgroundSubtractorMOG" );
-}
-
-Ptr<BackgroundSubtractorMOG> createBackgroundSubtractorMOG(int history, int nmixtures,
-                                  double backgroundRatio, double noiseSigma)
-{
-    return makePtr<BackgroundSubtractorMOGImpl>(history, nmixtures, backgroundRatio, noiseSigma);
-}
-
-}
-
-/* End of file. */
diff --git a/modules/video/src/bgfg_gmg.cpp b/modules/video/src/bgfg_gmg.cpp
deleted file mode 100644
index f5b7881a0a..0000000000
--- a/modules/video/src/bgfg_gmg.cpp
+++ /dev/null
@@ -1,522 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                          License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-/*
- * This class implements an algorithm described in "Visual Tracking of Human Visitors under
- * Variable-Lighting Conditions for a Responsive Audio Art Installation," A. Godbehere,
- * A. Matsukawa, K. Goldberg, American Control Conference, Montreal, June 2012.
- *
- * Prepared and integrated by Andrew B. Godbehere.
- */
-
-#include "precomp.hpp"
-#include <limits>
-
-namespace cv
-{
-
-class BackgroundSubtractorGMGImpl : public BackgroundSubtractorGMG
-{
-public:
-    BackgroundSubtractorGMGImpl()
-    {
-        /*
-         * Default Parameter Values. Override with algorithm "set" method.
-         */
-        maxFeatures = 64;
-        learningRate = 0.025;
-        numInitializationFrames = 120;
-        quantizationLevels = 16;
-        backgroundPrior = 0.8;
-        decisionThreshold = 0.8;
-        smoothingRadius = 7;
-        updateBackgroundModel = true;
-        minVal_ = maxVal_ = 0;
-        name_ = "BackgroundSubtractor.GMG";
-    }
-
-    ~BackgroundSubtractorGMGImpl()
-    {
-    }
-
-    virtual AlgorithmInfo* info() const { return 0; }
-
-    /**
-     * Validate parameters and set up data structures for appropriate image size.
-     * Must call before running on data.
-     * @param frameSize input frame size
-     * @param min       minimum value taken on by pixels in image sequence. Usually 0
-     * @param max       maximum value taken on by pixels in image sequence. e.g. 1.0 or 255
-     */
-    void initialize(Size frameSize, double minVal, double maxVal);
-
-    /**
-     * Performs single-frame background subtraction and builds up a statistical background image
-     * model.
-     * @param image Input image
-     * @param fgmask Output mask image representing foreground and background pixels
-     */
-    virtual void apply(InputArray image, OutputArray fgmask, double learningRate=-1.0);
-
-    /**
-     * Releases all inner buffers.
-     */
-    void release();
-
-    virtual int getMaxFeatures() const { return maxFeatures; }
-    virtual void setMaxFeatures(int _maxFeatures) { maxFeatures = _maxFeatures; }
-
-    virtual double getDefaultLearningRate() const { return learningRate; }
-    virtual void setDefaultLearningRate(double lr) { learningRate = lr; }
-
-    virtual int getNumFrames() const { return numInitializationFrames; }
-    virtual void setNumFrames(int nframes) { numInitializationFrames = nframes; }
-
-    virtual int getQuantizationLevels() const { return quantizationLevels; }
-    virtual void setQuantizationLevels(int nlevels) { quantizationLevels = nlevels; }
-
-    virtual double getBackgroundPrior() const { return backgroundPrior; }
-    virtual void setBackgroundPrior(double bgprior) { backgroundPrior = bgprior; }
-
-    virtual int getSmoothingRadius() const { return smoothingRadius; }
-    virtual void setSmoothingRadius(int radius) { smoothingRadius = radius; }
-
-    virtual double getDecisionThreshold() const { return decisionThreshold; }
-    virtual void setDecisionThreshold(double thresh) { decisionThreshold = thresh; }
-
-    virtual bool getUpdateBackgroundModel() const { return updateBackgroundModel; }
-    virtual void setUpdateBackgroundModel(bool update) { updateBackgroundModel = update; }
-
-    virtual double getMinVal() const { return minVal_; }
-    virtual void setMinVal(double val) { minVal_ = val; }
-
-    virtual double getMaxVal() const  { return maxVal_; }
-    virtual void setMaxVal(double val)  { maxVal_ = val; }
-
-    virtual void getBackgroundImage(OutputArray) const
-    {
-        CV_Error( Error::StsNotImplemented, "" );
-    }
-
-    virtual void write(FileStorage& fs) const
-    {
-        fs << "name" << name_
-        << "maxFeatures" << maxFeatures
-        << "defaultLearningRate" << learningRate
-        << "numFrames" << numInitializationFrames
-        << "quantizationLevels" << quantizationLevels
-        << "backgroundPrior" << backgroundPrior
-        << "decisionThreshold" << decisionThreshold
-        << "smoothingRadius" << smoothingRadius
-        << "updateBackgroundModel" << (int)updateBackgroundModel;
-        // we do not save minVal_ & maxVal_, since they depend on the image type.
-    }
-
-    virtual void read(const FileNode& fn)
-    {
-        CV_Assert( (String)fn["name"] == name_ );
-        maxFeatures = (int)fn["maxFeatures"];
-        learningRate = (double)fn["defaultLearningRate"];
-        numInitializationFrames = (int)fn["numFrames"];
-        quantizationLevels = (int)fn["quantizationLevels"];
-        backgroundPrior = (double)fn["backgroundPrior"];
-        smoothingRadius = (int)fn["smoothingRadius"];
-        decisionThreshold = (double)fn["decisionThreshold"];
-        updateBackgroundModel = (int)fn["updateBackgroundModel"] != 0;
-        minVal_ = maxVal_ = 0;
-        frameSize_ = Size();
-    }
-
-    //! Total number of distinct colors to maintain in histogram.
-    int     maxFeatures;
-    //! Set between 0.0 and 1.0, determines how quickly features are "forgotten" from histograms.
-    double  learningRate;
-    //! Number of frames of video to use to initialize histograms.
-    int     numInitializationFrames;
-    //! Number of discrete levels in each channel to be used in histograms.
-    int     quantizationLevels;
-    //! Prior probability that any given pixel is a background pixel. A sensitivity parameter.
-    double  backgroundPrior;
-    //! Value above which pixel is determined to be FG.
-    double  decisionThreshold;
-    //! Smoothing radius, in pixels, for cleaning up FG image.
-    int     smoothingRadius;
-    //! Perform background model update
-    bool updateBackgroundModel;
-
-private:
-    double maxVal_;
-    double minVal_;
-
-    Size frameSize_;
-    int frameNum_;
-
-    String name_;
-
-    Mat_<int> nfeatures_;
-    Mat_<unsigned int> colors_;
-    Mat_<float> weights_;
-
-    Mat buf_;
-};
-
-
-void BackgroundSubtractorGMGImpl::initialize(Size frameSize, double minVal, double maxVal)
-{
-    CV_Assert(minVal < maxVal);
-    CV_Assert(maxFeatures > 0);
-    CV_Assert(learningRate >= 0.0 && learningRate <= 1.0);
-    CV_Assert(numInitializationFrames >= 1);
-    CV_Assert(quantizationLevels >= 1 && quantizationLevels <= 255);
-    CV_Assert(backgroundPrior >= 0.0 && backgroundPrior <= 1.0);
-
-    minVal_ = minVal;
-    maxVal_ = maxVal;
-
-    frameSize_ = frameSize;
-    frameNum_ = 0;
-
-    nfeatures_.create(frameSize_);
-    colors_.create(frameSize_.area(), maxFeatures);
-    weights_.create(frameSize_.area(), maxFeatures);
-
-    nfeatures_.setTo(Scalar::all(0));
-}
-
-namespace
-{
-    float findFeature(unsigned int color, const unsigned int* colors, const float* weights, int nfeatures)
-    {
-        for (int i = 0; i < nfeatures; ++i)
-        {
-            if (color == colors[i])
-                return weights[i];
-        }
-
-        // not in histogram, so return 0.
-        return 0.0f;
-    }
-
-    void normalizeHistogram(float* weights, int nfeatures)
-    {
-        float total = 0.0f;
-        for (int i = 0; i < nfeatures; ++i)
-            total += weights[i];
-
-        if (total != 0.0f)
-        {
-            for (int i = 0; i < nfeatures; ++i)
-                weights[i] /= total;
-        }
-    }
-
-    bool insertFeature(unsigned int color, float weight, unsigned int* colors, float* weights, int& nfeatures, int maxFeatures)
-    {
-        int idx = -1;
-        for (int i = 0; i < nfeatures; ++i)
-        {
-            if (color == colors[i])
-            {
-                // feature in histogram
-                weight += weights[i];
-                idx = i;
-                break;
-            }
-        }
-
-        if (idx >= 0)
-        {
-            // move feature to beginning of list
-
-            ::memmove(colors + 1, colors, idx * sizeof(unsigned int));
-            ::memmove(weights + 1, weights, idx * sizeof(float));
-
-            colors[0] = color;
-            weights[0] = weight;
-        }
-        else if (nfeatures == maxFeatures)
-        {
-            // discard oldest feature
-
-            ::memmove(colors + 1, colors, (nfeatures - 1) * sizeof(unsigned int));
-            ::memmove(weights + 1, weights, (nfeatures - 1) * sizeof(float));
-
-            colors[0] = color;
-            weights[0] = weight;
-        }
-        else
-        {
-            colors[nfeatures] = color;
-            weights[nfeatures] = weight;
-
-            ++nfeatures;
-
-            return true;
-        }
-
-        return false;
-    }
-}
-
-namespace
-{
-    template <typename T> struct Quantization
-    {
-        static unsigned int apply(const void* src_, int x, int cn, double minVal, double maxVal, int quantizationLevels)
-        {
-            const T* src = static_cast<const T*>(src_);
-            src += x * cn;
-
-            unsigned int res = 0;
-            for (int i = 0, shift = 0; i < cn; ++i, ++src, shift += 8)
-                res |= static_cast<int>((*src - minVal) * quantizationLevels / (maxVal - minVal)) << shift;
-
-            return res;
-        }
-    };
-
-    class GMG_LoopBody : public ParallelLoopBody
-    {
-    public:
-        GMG_LoopBody(const Mat& frame, const Mat& fgmask, const Mat_<int>& nfeatures, const Mat_<unsigned int>& colors, const Mat_<float>& weights,
-                     int maxFeatures, double learningRate, int numInitializationFrames, int quantizationLevels, double backgroundPrior, double decisionThreshold,
-                     double maxVal, double minVal, int frameNum, bool updateBackgroundModel) :
-            frame_(frame), fgmask_(fgmask), nfeatures_(nfeatures), colors_(colors), weights_(weights),
-            maxFeatures_(maxFeatures), learningRate_(learningRate), numInitializationFrames_(numInitializationFrames), quantizationLevels_(quantizationLevels),
-            backgroundPrior_(backgroundPrior), decisionThreshold_(decisionThreshold), updateBackgroundModel_(updateBackgroundModel),
-            maxVal_(maxVal), minVal_(minVal), frameNum_(frameNum)
-        {
-        }
-
-        void operator() (const Range& range) const;
-
-    private:
-        Mat frame_;
-
-        mutable Mat_<uchar> fgmask_;
-
-        mutable Mat_<int> nfeatures_;
-        mutable Mat_<unsigned int> colors_;
-        mutable Mat_<float> weights_;
-
-        int     maxFeatures_;
-        double  learningRate_;
-        int     numInitializationFrames_;
-        int     quantizationLevels_;
-        double  backgroundPrior_;
-        double  decisionThreshold_;
-        bool updateBackgroundModel_;
-
-        double maxVal_;
-        double minVal_;
-        int frameNum_;
-    };
-
-    void GMG_LoopBody::operator() (const Range& range) const
-    {
-        typedef unsigned int (*func_t)(const void* src_, int x, int cn, double minVal, double maxVal, int quantizationLevels);
-        static const func_t funcs[] =
-        {
-            Quantization<uchar>::apply,
-            Quantization<schar>::apply,
-            Quantization<ushort>::apply,
-            Quantization<short>::apply,
-            Quantization<int>::apply,
-            Quantization<float>::apply,
-            Quantization<double>::apply
-        };
-
-        const func_t func = funcs[frame_.depth()];
-        CV_Assert(func != 0);
-
-        const int cn = frame_.channels();
-
-        for (int y = range.start, featureIdx = y * frame_.cols; y < range.end; ++y)
-        {
-            const uchar* frame_row = frame_.ptr(y);
-            int* nfeatures_row = nfeatures_[y];
-            uchar* fgmask_row = fgmask_[y];
-
-            for (int x = 0; x < frame_.cols; ++x, ++featureIdx)
-            {
-                int nfeatures = nfeatures_row[x];
-                unsigned int* colors = colors_[featureIdx];
-                float* weights = weights_[featureIdx];
-
-                unsigned int newFeatureColor = func(frame_row, x, cn, minVal_, maxVal_, quantizationLevels_);
-
-                bool isForeground = false;
-
-                if (frameNum_ >= numInitializationFrames_)
-                {
-                    // typical operation
-
-                    const double weight = findFeature(newFeatureColor, colors, weights, nfeatures);
-
-                    // see Godbehere, Matsukawa, Goldberg (2012) for reasoning behind this implementation of Bayes rule
-                    const double posterior = (weight * backgroundPrior_) / (weight * backgroundPrior_ + (1.0 - weight) * (1.0 - backgroundPrior_));
-
-                    isForeground = ((1.0 - posterior) > decisionThreshold_);
-
-                    // update histogram.
-
-                    if (updateBackgroundModel_)
-                    {
-                        for (int i = 0; i < nfeatures; ++i)
-                            weights[i] *= (float)(1.0f - learningRate_);
-
-                        bool inserted = insertFeature(newFeatureColor, (float)learningRate_, colors, weights, nfeatures, maxFeatures_);
-
-                        if (inserted)
-                        {
-                            normalizeHistogram(weights, nfeatures);
-                            nfeatures_row[x] = nfeatures;
-                        }
-                    }
-                }
-                else if (updateBackgroundModel_)
-                {
-                    // training-mode update
-
-                    insertFeature(newFeatureColor, 1.0f, colors, weights, nfeatures, maxFeatures_);
-
-                    if (frameNum_ == numInitializationFrames_ - 1)
-                        normalizeHistogram(weights, nfeatures);
-                }
-
-                fgmask_row[x] = (uchar)(-(schar)isForeground);
-            }
-        }
-    }
-}
-
-void BackgroundSubtractorGMGImpl::apply(InputArray _frame, OutputArray _fgmask, double newLearningRate)
-{
-    Mat frame = _frame.getMat();
-
-    CV_Assert(frame.depth() == CV_8U || frame.depth() == CV_16U || frame.depth() == CV_32F);
-    CV_Assert(frame.channels() == 1 || frame.channels() == 3 || frame.channels() == 4);
-
-    if (newLearningRate != -1.0)
-    {
-        CV_Assert(newLearningRate >= 0.0 && newLearningRate <= 1.0);
-        learningRate = newLearningRate;
-    }
-
-    if (frame.size() != frameSize_)
-    {
-        double minval = minVal_;
-        double maxval = maxVal_;
-        if( minVal_ == 0 && maxVal_ == 0 )
-        {
-            minval = 0;
-            maxval = frame.depth() == CV_8U ? 255.0 : frame.depth() == CV_16U ? std::numeric_limits<ushort>::max() : 1.0;
-        }
-        initialize(frame.size(), minval, maxval);
-    }
-
-    _fgmask.create(frameSize_, CV_8UC1);
-    Mat fgmask = _fgmask.getMat();
-
-    GMG_LoopBody body(frame, fgmask, nfeatures_, colors_, weights_,
-                      maxFeatures, learningRate, numInitializationFrames, quantizationLevels, backgroundPrior, decisionThreshold,
-                      maxVal_, minVal_, frameNum_, updateBackgroundModel);
-    parallel_for_(Range(0, frame.rows), body, frame.total()/(double)(1<<16));
-
-    if (smoothingRadius > 0)
-    {
-        medianBlur(fgmask, buf_, smoothingRadius);
-        swap(fgmask, buf_);
-    }
-
-    // keep track of how many frames we have processed
-    ++frameNum_;
-}
-
-void BackgroundSubtractorGMGImpl::release()
-{
-    frameSize_ = Size();
-
-    nfeatures_.release();
-    colors_.release();
-    weights_.release();
-    buf_.release();
-}
-
-
-Ptr<BackgroundSubtractorGMG> createBackgroundSubtractorGMG(int initializationFrames, double decisionThreshold)
-{
-    Ptr<BackgroundSubtractorGMG> bgfg = makePtr<BackgroundSubtractorGMGImpl>();
-    bgfg->setNumFrames(initializationFrames);
-    bgfg->setDecisionThreshold(decisionThreshold);
-
-    return bgfg;
-}
-
-/*
- ///////////////////////////////////////////////////////////////////////////////////////////////////////////
-
- CV_INIT_ALGORITHM(BackgroundSubtractorGMG, "BackgroundSubtractor.GMG",
- obj.info()->addParam(obj, "maxFeatures", obj.maxFeatures,false,0,0,
- "Maximum number of features to store in histogram. Harsh enforcement of sparsity constraint.");
- obj.info()->addParam(obj, "learningRate", obj.learningRate,false,0,0,
- "Adaptation rate of histogram. Close to 1, slow adaptation. Close to 0, fast adaptation, features forgotten quickly.");
- obj.info()->addParam(obj, "initializationFrames", obj.numInitializationFrames,false,0,0,
- "Number of frames to use to initialize histograms of pixels.");
- obj.info()->addParam(obj, "quantizationLevels", obj.quantizationLevels,false,0,0,
- "Number of discrete colors to be used in histograms. Up-front quantization.");
- obj.info()->addParam(obj, "backgroundPrior", obj.backgroundPrior,false,0,0,
- "Prior probability that each individual pixel is a background pixel.");
- obj.info()->addParam(obj, "smoothingRadius", obj.smoothingRadius,false,0,0,
- "Radius of smoothing kernel to filter noise from FG mask image.");
- obj.info()->addParam(obj, "decisionThreshold", obj.decisionThreshold,false,0,0,
- "Threshold for FG decision rule. Pixel is FG if posterior probability exceeds threshold.");
- obj.info()->addParam(obj, "updateBackgroundModel", obj.updateBackgroundModel,false,0,0,
- "Perform background model update.");
- obj.info()->addParam(obj, "minVal", obj.minVal_,false,0,0,
- "Minimum of the value range (mostly for regression testing)");
- obj.info()->addParam(obj, "maxVal", obj.maxVal_,false,0,0,
- "Maximum of the value range (mostly for regression testing)");
- );
-*/
-
-}
diff --git a/modules/video/src/compat_video.cpp b/modules/video/src/compat_video.cpp
index 1773d52955..34006b9548 100644
--- a/modules/video/src/compat_video.cpp
+++ b/modules/video/src/compat_video.cpp
@@ -87,76 +87,6 @@ cvCamShift( const void* imgProb, CvRect windowIn,
     return rr.size.width*rr.size.height > 0.f ? 1 : -1;
 }
 
-
-///////////////////////// Motion Templates ////////////////////////////
-
-CV_IMPL void
-cvUpdateMotionHistory( const void* silhouette, void* mhimg,
-                       double timestamp, double mhi_duration )
-{
-    cv::Mat silh = cv::cvarrToMat(silhouette), mhi = cv::cvarrToMat(mhimg);
-    cv::updateMotionHistory(silh, mhi, timestamp, mhi_duration);
-}
-
-
-CV_IMPL void
-cvCalcMotionGradient( const CvArr* mhimg, CvArr* maskimg,
-                      CvArr* orientation,
-                      double delta1, double delta2,
-                      int aperture_size )
-{
-    cv::Mat mhi = cv::cvarrToMat(mhimg);
-    const cv::Mat mask = cv::cvarrToMat(maskimg), orient = cv::cvarrToMat(orientation);
-    cv::calcMotionGradient(mhi, mask, orient, delta1, delta2, aperture_size);
-}
-
-
-CV_IMPL double
-cvCalcGlobalOrientation( const void* orientation, const void* maskimg, const void* mhimg,
-                         double curr_mhi_timestamp, double mhi_duration )
-{
-    cv::Mat mhi = cv::cvarrToMat(mhimg);
-    cv::Mat mask = cv::cvarrToMat(maskimg), orient = cv::cvarrToMat(orientation);
-    return cv::calcGlobalOrientation(orient, mask, mhi, curr_mhi_timestamp, mhi_duration);
-}
-
-
-CV_IMPL CvSeq*
-cvSegmentMotion( const CvArr* mhimg, CvArr* segmaskimg, CvMemStorage* storage,
-                 double timestamp, double segThresh )
-{
-    cv::Mat mhi = cv::cvarrToMat(mhimg);
-    const cv::Mat segmask = cv::cvarrToMat(segmaskimg);
-    std::vector<cv::Rect> brs;
-    cv::segmentMotion(mhi, segmask, brs, timestamp, segThresh);
-    CvSeq* seq = cvCreateSeq(0, sizeof(CvSeq), sizeof(CvConnectedComp), storage);
-
-    CvConnectedComp comp;
-    memset(&comp, 0, sizeof(comp));
-    for( size_t i = 0; i < brs.size(); i++ )
-    {
-        cv::Rect roi = brs[i];
-        float compLabel = (float)(i+1);
-        int x, y, area = 0;
-
-        cv::Mat part = segmask(roi);
-        for( y = 0; y < roi.height; y++ )
-        {
-            const float* partptr = part.ptr<float>(y);
-            for( x = 0; x < roi.width; x++ )
-                area += partptr[x] == compLabel;
-        }
-
-        comp.value = cv::Scalar(compLabel);
-        comp.rect = roi;
-        comp.area = area;
-        cvSeqPush(seq, &comp);
-    }
-
-    return seq;
-}
-
-
 ///////////////////////////////// Kalman ///////////////////////////////
 
 CV_IMPL CvKalman*
diff --git a/modules/video/src/motempl.cpp b/modules/video/src/motempl.cpp
deleted file mode 100644
index af19429252..0000000000
--- a/modules/video/src/motempl.cpp
+++ /dev/null
@@ -1,416 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                        Intel License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of Intel Corporation may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "precomp.hpp"
-#include "opencl_kernels_video.hpp"
-
-#ifdef HAVE_OPENCL
-
-namespace  cv {
-
-static bool ocl_updateMotionHistory( InputArray _silhouette, InputOutputArray _mhi,
-                                     float timestamp, float delbound )
-{
-    ocl::Kernel k("updateMotionHistory", ocl::video::updatemotionhistory_oclsrc);
-    if (k.empty())
-        return false;
-
-    UMat silh = _silhouette.getUMat(), mhi = _mhi.getUMat();
-
-    k.args(ocl::KernelArg::ReadOnlyNoSize(silh), ocl::KernelArg::ReadWrite(mhi),
-           timestamp, delbound);
-
-    size_t globalsize[2] = { silh.cols, silh.rows };
-    return k.run(2, globalsize, NULL, false);
-}
-
-}
-
-#endif
-
-void cv::updateMotionHistory( InputArray _silhouette, InputOutputArray _mhi,
-                              double timestamp, double duration )
-{
-    CV_Assert( _silhouette.type() == CV_8UC1 && _mhi.type() == CV_32FC1 );
-    CV_Assert( _silhouette.sameSize(_mhi) );
-
-    float ts = (float)timestamp;
-    float delbound = (float)(timestamp - duration);
-
-    CV_OCL_RUN(_mhi.isUMat() && _mhi.dims() <= 2,
-               ocl_updateMotionHistory(_silhouette, _mhi, ts, delbound))
-
-    Mat silh = _silhouette.getMat(), mhi = _mhi.getMat();
-    Size size = silh.size();
-#if defined(HAVE_IPP)
-    int silhstep = (int)silh.step, mhistep = (int)mhi.step;
-#endif
-
-    if( silh.isContinuous() && mhi.isContinuous() )
-    {
-        size.width *= size.height;
-        size.height = 1;
-#if defined(HAVE_IPP)
-        silhstep = (int)silh.total();
-        mhistep = (int)mhi.total() * sizeof(Ipp32f);
-#endif
-    }
-
-#if defined(HAVE_IPP)
-    IppStatus status = ippiUpdateMotionHistory_8u32f_C1IR((const Ipp8u *)silh.data, silhstep, (Ipp32f *)mhi.data, mhistep,
-                                                          ippiSize(size.width, size.height), (Ipp32f)timestamp, (Ipp32f)duration);
-    if (status >= 0)
-        return;
-#endif
-
-#if CV_SSE2
-    volatile bool useSIMD = cv::checkHardwareSupport(CV_CPU_SSE2);
-#endif
-
-    for(int y = 0; y < size.height; y++ )
-    {
-        const uchar* silhData = silh.ptr<uchar>(y);
-        float* mhiData = mhi.ptr<float>(y);
-        int x = 0;
-
-#if CV_SSE2
-        if( useSIMD )
-        {
-            __m128 ts4 = _mm_set1_ps(ts), db4 = _mm_set1_ps(delbound);
-            for( ; x <= size.width - 8; x += 8 )
-            {
-                __m128i z = _mm_setzero_si128();
-                __m128i s = _mm_unpacklo_epi8(_mm_loadl_epi64((const __m128i*)(silhData + x)), z);
-                __m128 s0 = _mm_cvtepi32_ps(_mm_unpacklo_epi16(s, z)), s1 = _mm_cvtepi32_ps(_mm_unpackhi_epi16(s, z));
-                __m128 v0 = _mm_loadu_ps(mhiData + x), v1 = _mm_loadu_ps(mhiData + x + 4);
-                __m128 fz = _mm_setzero_ps();
-
-                v0 = _mm_and_ps(v0, _mm_cmpge_ps(v0, db4));
-                v1 = _mm_and_ps(v1, _mm_cmpge_ps(v1, db4));
-
-                __m128 m0 = _mm_and_ps(_mm_xor_ps(v0, ts4), _mm_cmpneq_ps(s0, fz));
-                __m128 m1 = _mm_and_ps(_mm_xor_ps(v1, ts4), _mm_cmpneq_ps(s1, fz));
-
-                v0 = _mm_xor_ps(v0, m0);
-                v1 = _mm_xor_ps(v1, m1);
-
-                _mm_storeu_ps(mhiData + x, v0);
-                _mm_storeu_ps(mhiData + x + 4, v1);
-            }
-        }
-#endif
-
-        for( ; x < size.width; x++ )
-        {
-            float val = mhiData[x];
-            val = silhData[x] ? ts : val < delbound ? 0 : val;
-            mhiData[x] = val;
-        }
-    }
-}
-
-
-void cv::calcMotionGradient( InputArray _mhi, OutputArray _mask,
-                             OutputArray _orientation,
-                             double delta1, double delta2,
-                             int aperture_size )
-{
-    static int runcase = 0; runcase++;
-
-    Mat mhi = _mhi.getMat();
-    Size size = mhi.size();
-
-    _mask.create(size, CV_8U);
-    _orientation.create(size, CV_32F);
-
-    Mat mask = _mask.getMat();
-    Mat orient = _orientation.getMat();
-
-    if( aperture_size < 3 || aperture_size > 7 || (aperture_size & 1) == 0 )
-        CV_Error( Error::StsOutOfRange, "aperture_size must be 3, 5 or 7" );
-
-    if( delta1 <= 0 || delta2 <= 0 )
-        CV_Error( Error::StsOutOfRange, "both delta's must be positive" );
-
-    if( mhi.type() != CV_32FC1 )
-        CV_Error( Error::StsUnsupportedFormat,
-                 "MHI must be single-channel floating-point images" );
-
-    if( orient.data == mhi.data )
-    {
-        _orientation.release();
-        _orientation.create(size, CV_32F);
-        orient = _orientation.getMat();
-    }
-
-    if( delta1 > delta2 )
-        std::swap(delta1, delta2);
-
-    float gradient_epsilon = 1e-4f * aperture_size * aperture_size;
-    float min_delta = (float)delta1;
-    float max_delta = (float)delta2;
-
-    Mat dX_min, dY_max;
-
-    // calc Dx and Dy
-    Sobel( mhi, dX_min, CV_32F, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE );
-    Sobel( mhi, dY_max, CV_32F, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE );
-
-    int x, y;
-
-    if( mhi.isContinuous() && orient.isContinuous() && mask.isContinuous() )
-    {
-        size.width *= size.height;
-        size.height = 1;
-    }
-
-    // calc gradient
-    for( y = 0; y < size.height; y++ )
-    {
-        const float* dX_min_row = dX_min.ptr<float>(y);
-        const float* dY_max_row = dY_max.ptr<float>(y);
-        float* orient_row = orient.ptr<float>(y);
-        uchar* mask_row = mask.ptr<uchar>(y);
-
-        fastAtan2(dY_max_row, dX_min_row, orient_row, size.width, true);
-
-        // make orientation zero where the gradient is very small
-        for( x = 0; x < size.width; x++ )
-        {
-            float dY = dY_max_row[x];
-            float dX = dX_min_row[x];
-
-            if( std::abs(dX) < gradient_epsilon && std::abs(dY) < gradient_epsilon )
-            {
-                mask_row[x] = (uchar)0;
-                orient_row[x] = 0.f;
-            }
-            else
-                mask_row[x] = (uchar)1;
-        }
-    }
-
-    erode( mhi, dX_min, noArray(), Point(-1,-1), (aperture_size-1)/2, BORDER_REPLICATE );
-    dilate( mhi, dY_max, noArray(), Point(-1,-1), (aperture_size-1)/2, BORDER_REPLICATE );
-
-    // mask off pixels which have little motion difference in their neighborhood
-    for( y = 0; y < size.height; y++ )
-    {
-        const float* dX_min_row = dX_min.ptr<float>(y);
-        const float* dY_max_row = dY_max.ptr<float>(y);
-        float* orient_row = orient.ptr<float>(y);
-        uchar* mask_row = mask.ptr<uchar>(y);
-
-        for( x = 0; x < size.width; x++ )
-        {
-            float d0 = dY_max_row[x] - dX_min_row[x];
-
-            if( mask_row[x] == 0 || d0 < min_delta || max_delta < d0 )
-            {
-                mask_row[x] = (uchar)0;
-                orient_row[x] = 0.f;
-            }
-        }
-    }
-}
-
-double cv::calcGlobalOrientation( InputArray _orientation, InputArray _mask,
-                                  InputArray _mhi, double /*timestamp*/,
-                                  double duration )
-{
-    Mat orient = _orientation.getMat(), mask = _mask.getMat(), mhi = _mhi.getMat();
-    Size size = mhi.size();
-
-    CV_Assert( mask.type() == CV_8U && orient.type() == CV_32F && mhi.type() == CV_32F );
-    CV_Assert( mask.size() == size && orient.size() == size );
-    CV_Assert( duration > 0 );
-
-    int histSize = 12;
-    float _ranges[] = { 0.f, 360.f };
-    const float* ranges = _ranges;
-    Mat hist;
-
-    calcHist(&orient, 1, 0, mask, hist, 1, &histSize, &ranges);
-
-    // find the maximum index (the dominant orientation)
-    Point baseOrientPt;
-    minMaxLoc(hist, 0, 0, 0, &baseOrientPt);
-    float fbaseOrient = (baseOrientPt.x + baseOrientPt.y)*360.f/histSize;
-
-    // override timestamp with the maximum value in MHI
-    double timestamp = 0;
-    minMaxLoc( mhi, 0, &timestamp, 0, 0, mask );
-
-    // find the shift relative to the dominant orientation as weighted sum of relative angles
-    float a = (float)(254. / 255. / duration);
-    float b = (float)(1. - timestamp * a);
-    float delbound = (float)(timestamp - duration);
-
-    if( mhi.isContinuous() && mask.isContinuous() && orient.isContinuous() )
-    {
-        size.width *= size.height;
-        size.height = 1;
-    }
-
-    /*
-     a = 254/(255*dt)
-     b = 1 - t*a = 1 - 254*t/(255*dur) =
-     (255*dt - 254*t)/(255*dt) =
-     (dt - (t - dt)*254)/(255*dt);
-     --------------------------------------------------------
-     ax + b = 254*x/(255*dt) + (dt - (t - dt)*254)/(255*dt) =
-     (254*x + dt - (t - dt)*254)/(255*dt) =
-     ((x - (t - dt))*254 + dt)/(255*dt) =
-     (((x - (t - dt))/dt)*254 + 1)/255 = (((x - low_time)/dt)*254 + 1)/255
-     */
-    float shiftOrient = 0, shiftWeight = 0;
-    for( int y = 0; y < size.height; y++ )
-    {
-        const float* mhiptr = mhi.ptr<float>(y);
-        const float* oriptr = orient.ptr<float>(y);
-        const uchar* maskptr = mask.ptr<uchar>(y);
-
-        for( int x = 0; x < size.width; x++ )
-        {
-            if( maskptr[x] != 0 && mhiptr[x] > delbound )
-            {
-                /*
-                 orient in 0..360, base_orient in 0..360
-                 -> (rel_angle = orient - base_orient) in -360..360.
-                 rel_angle is translated to -180..180
-                 */
-                float weight = mhiptr[x] * a + b;
-                float relAngle = oriptr[x] - fbaseOrient;
-
-                relAngle += (relAngle < -180 ? 360 : 0);
-                relAngle += (relAngle > 180 ? -360 : 0);
-
-                if( fabs(relAngle) < 45 )
-                {
-                    shiftOrient += weight * relAngle;
-                    shiftWeight += weight;
-                }
-            }
-        }
-    }
-
-    // add the dominant orientation and the relative shift
-    if( shiftWeight == 0 )
-        shiftWeight = 0.01f;
-
-    fbaseOrient += shiftOrient / shiftWeight;
-    fbaseOrient -= (fbaseOrient < 360 ? 0 : 360);
-    fbaseOrient += (fbaseOrient >= 0 ? 0 : 360);
-
-    return fbaseOrient;
-}
-
-
-void cv::segmentMotion(InputArray _mhi, OutputArray _segmask,
-                       std::vector<Rect>& boundingRects,
-                       double timestamp, double segThresh)
-{
-    Mat mhi = _mhi.getMat();
-
-    _segmask.create(mhi.size(), CV_32F);
-    Mat segmask = _segmask.getMat();
-    segmask = Scalar::all(0);
-
-    CV_Assert( mhi.type() == CV_32F );
-    CV_Assert( segThresh >= 0 );
-
-    Mat mask = Mat::zeros( mhi.rows + 2, mhi.cols + 2, CV_8UC1 );
-
-    int x, y;
-
-    // protect zero mhi pixels from floodfill.
-    for( y = 0; y < mhi.rows; y++ )
-    {
-        const float* mhiptr = mhi.ptr<float>(y);
-        uchar* maskptr = mask.ptr<uchar>(y+1) + 1;
-
-        for( x = 0; x < mhi.cols; x++ )
-        {
-            if( mhiptr[x] == 0 )
-                maskptr[x] = 1;
-        }
-    }
-
-    float ts = (float)timestamp;
-    float comp_idx = 1.f;
-
-    for( y = 0; y < mhi.rows; y++ )
-    {
-        float* mhiptr = mhi.ptr<float>(y);
-        uchar* maskptr = mask.ptr<uchar>(y+1) + 1;
-
-        for( x = 0; x < mhi.cols; x++ )
-        {
-            if( mhiptr[x] == ts && maskptr[x] == 0 )
-            {
-                Rect cc;
-                floodFill( mhi, mask, Point(x,y), Scalar::all(0),
-                           &cc, Scalar::all(segThresh), Scalar::all(segThresh),
-                           FLOODFILL_MASK_ONLY + 2*256 + 4 );
-
-                for( int y1 = 0; y1 < cc.height; y1++ )
-                {
-                    float* segmaskptr = segmask.ptr<float>(cc.y + y1) + cc.x;
-                    uchar* maskptr1 = mask.ptr<uchar>(cc.y + y1 + 1) + cc.x + 1;
-
-                    for( int x1 = 0; x1 < cc.width; x1++ )
-                    {
-                        if( maskptr1[x1] > 1 )
-                        {
-                            maskptr1[x1] = 1;
-                            segmaskptr[x1] = comp_idx;
-                        }
-                    }
-                }
-                comp_idx += 1.f;
-                boundingRects.push_back(cc);
-            }
-        }
-    }
-}
-
-
-/* End of file. */
diff --git a/modules/video/src/opencl/updatemotionhistory.cl b/modules/video/src/opencl/updatemotionhistory.cl
deleted file mode 100644
index 913e40b266..0000000000
--- a/modules/video/src/opencl/updatemotionhistory.cl
+++ /dev/null
@@ -1,27 +0,0 @@
-// This file is part of OpenCV project.
-// It is subject to the license terms in the LICENSE file found in the top-level directory
-// of this distribution and at http://opencv.org/license.html.
-
-// Copyright (C) 2014, Advanced Micro Devices, Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-
-__kernel void updateMotionHistory(__global const uchar * silh, int silh_step, int silh_offset,
-                                  __global uchar * mhiptr, int mhi_step, int mhi_offset, int mhi_rows, int mhi_cols,
-                                  float timestamp, float delbound)
-{
-    int x = get_global_id(0);
-    int y = get_global_id(1);
-
-    if (x < mhi_cols && y < mhi_rows)
-    {
-        int silh_index = mad24(y, silh_step, silh_offset + x);
-        int mhi_index = mad24(y, mhi_step, mhi_offset + x * (int)sizeof(float));
-
-        silh += silh_index;
-        __global float * mhi = (__global float *)(mhiptr + mhi_index);
-
-        float val = mhi[0];
-        val = silh[0] ? timestamp : val < delbound ? 0 : val;
-        mhi[0] = val;
-    }
-}
diff --git a/modules/video/src/simpleflow.cpp b/modules/video/src/simpleflow.cpp
deleted file mode 100644
index 20fc6b5431..0000000000
--- a/modules/video/src/simpleflow.cpp
+++ /dev/null
@@ -1,673 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "precomp.hpp"
-
-//
-// 2D dense optical flow algorithm from the following paper:
-// Michael Tao, Jiamin Bai, Pushmeet Kohli, and Sylvain Paris.
-// "SimpleFlow: A Non-iterative, Sublinear Optical Flow Algorithm"
-// Computer Graphics Forum (Eurographics 2012)
-// http://graphics.berkeley.edu/papers/Tao-SAN-2012-05/
-//
-
-namespace cv
-{
-
-static const uchar MASK_TRUE_VALUE = (uchar)255;
-
-inline static float dist(const Vec3b& p1, const Vec3b& p2) {
-  return (float)((p1[0] - p2[0]) * (p1[0] - p2[0]) +
-         (p1[1] - p2[1]) * (p1[1] - p2[1]) +
-         (p1[2] - p2[2]) * (p1[2] - p2[2]));
-}
-
-inline static float dist(const Vec2f& p1, const Vec2f& p2) {
-  return (p1[0] - p2[0]) * (p1[0] - p2[0]) +
-         (p1[1] - p2[1]) * (p1[1] - p2[1]);
-}
-
-template<class T>
-inline static T min(T t1, T t2, T t3) {
-  return (t1 <= t2 && t1 <= t3) ? t1 : min(t2, t3);
-}
-
-static void removeOcclusions(const Mat& flow,
-                             const Mat& flow_inv,
-                             float occ_thr,
-                             Mat& confidence) {
-  const int rows = flow.rows;
-  const int cols = flow.cols;
-  if (!confidence.data) {
-    confidence = Mat::zeros(rows, cols, CV_32F);
-  }
-  for (int r = 0; r < rows; ++r) {
-    for (int c = 0; c < cols; ++c) {
-      if (dist(flow.at<Vec2f>(r, c), -flow_inv.at<Vec2f>(r, c)) > occ_thr) {
-        confidence.at<float>(r, c) = 0;
-      } else {
-        confidence.at<float>(r, c) = 1;
-      }
-    }
-  }
-}
-
-static void wd(Mat& d, int top_shift, int bottom_shift, int left_shift, int right_shift, float sigma) {
-  for (int dr = -top_shift, r = 0; dr <= bottom_shift; ++dr, ++r) {
-    for (int dc = -left_shift, c = 0; dc <= right_shift; ++dc, ++c) {
-      d.at<float>(r, c) = (float)-(dr*dr + dc*dc);
-    }
-  }
-  d *= 1.0 / (2.0 * sigma * sigma);
-  exp(d, d);
-}
-
-static void wc(const Mat& image, Mat& d, int r0, int c0,
-               int top_shift, int bottom_shift, int left_shift, int right_shift, float sigma) {
-  const Vec3b centeral_point = image.at<Vec3b>(r0, c0);
-  int left_border = c0-left_shift, right_border = c0+right_shift;
-  for (int dr = r0-top_shift, r = 0; dr <= r0+bottom_shift; ++dr, ++r) {
-    const Vec3b *row = image.ptr<Vec3b>(dr);
-    float *d_row = d.ptr<float>(r);
-    for (int dc = left_border, c = 0; dc <= right_border; ++dc, ++c) {
-      d_row[c] = -dist(centeral_point, row[dc]);
-    }
-  }
-  d *= 1.0 / (2.0 * sigma * sigma);
-  exp(d, d);
-}
-
-static void crossBilateralFilter(const Mat& image,
-                                 const Mat& edge_image,
-                                 const Mat confidence,
-                                 Mat& dst, int d,
-                                 float sigma_color, float sigma_space,
-                                 bool flag=false) {
-  const int rows = image.rows;
-  const int cols = image.cols;
-  Mat image_extended, edge_image_extended, confidence_extended;
-  copyMakeBorder(image, image_extended, d, d, d, d, BORDER_DEFAULT);
-  copyMakeBorder(edge_image, edge_image_extended, d, d, d, d, BORDER_DEFAULT);
-  copyMakeBorder(confidence, confidence_extended, d, d, d, d, BORDER_CONSTANT, Scalar(0));
-  Mat weights_space(2*d+1, 2*d+1, CV_32F);
-  wd(weights_space, d, d, d, d, sigma_space);
-  Mat weights(2*d+1, 2*d+1, CV_32F);
-  Mat weighted_sum(2*d+1, 2*d+1, CV_32F);
-
-  std::vector<Mat> image_extended_channels;
-  split(image_extended, image_extended_channels);
-
-  for (int row = 0; row < rows; ++row) {
-    for (int col = 0; col < cols; ++col) {
-      wc(edge_image_extended, weights, row+d, col+d, d, d, d, d, sigma_color);
-
-      Range window_rows(row,row+2*d+1);
-      Range window_cols(col,col+2*d+1);
-
-      multiply(weights, confidence_extended(window_rows, window_cols), weights);
-      multiply(weights, weights_space, weights);
-      float weights_sum = (float)sum(weights)[0];
-
-      for (int ch = 0; ch < 2; ++ch) {
-        multiply(weights, image_extended_channels[ch](window_rows, window_cols), weighted_sum);
-        float total_sum = (float)sum(weighted_sum)[0];
-
-        dst.at<Vec2f>(row, col)[ch] = (flag && fabs(weights_sum) < 1e-9)
-          ? image.at<float>(row, col)
-          : total_sum / weights_sum;
-      }
-    }
-  }
-}
-
-static void calcConfidence(const Mat& prev,
-                           const Mat& next,
-                           const Mat& flow,
-                           Mat& confidence,
-                           int max_flow) {
-  const int rows = prev.rows;
-  const int cols = prev.cols;
-  confidence = Mat::zeros(rows, cols, CV_32F);
-
-  for (int r0 = 0; r0 < rows; ++r0) {
-    for (int c0 = 0; c0 < cols; ++c0) {
-      Vec2f flow_at_point = flow.at<Vec2f>(r0, c0);
-      int u0 = cvRound(flow_at_point[0]);
-      if (r0 + u0 < 0) { u0 = -r0; }
-      if (r0 + u0 >= rows) { u0 = rows - 1 - r0; }
-      int v0 = cvRound(flow_at_point[1]);
-      if (c0 + v0 < 0) { v0 = -c0; }
-      if (c0 + v0 >= cols) { v0 = cols - 1 - c0; }
-
-      const int top_row_shift = -std::min(r0 + u0, max_flow);
-      const int bottom_row_shift = std::min(rows - 1 - (r0 + u0), max_flow);
-      const int left_col_shift = -std::min(c0 + v0, max_flow);
-      const int right_col_shift = std::min(cols - 1 - (c0 + v0), max_flow);
-
-      bool first_flow_iteration = true;
-      float sum_e = 0, min_e = 0;
-
-      for (int u = top_row_shift; u <= bottom_row_shift; ++u) {
-        for (int v = left_col_shift; v <= right_col_shift; ++v) {
-          float e = dist(prev.at<Vec3b>(r0, c0), next.at<Vec3b>(r0 + u0 + u, c0 + v0 + v));
-          if (first_flow_iteration) {
-            sum_e = e;
-            min_e = e;
-            first_flow_iteration = false;
-          } else {
-            sum_e += e;
-            min_e = std::min(min_e, e);
-          }
-        }
-      }
-      int windows_square = (bottom_row_shift - top_row_shift + 1) *
-                           (right_col_shift - left_col_shift + 1);
-      confidence.at<float>(r0, c0) = (windows_square == 0) ? 0
-                                                           : sum_e / windows_square - min_e;
-      CV_Assert(confidence.at<float>(r0, c0) >= 0);
-    }
-  }
-}
-
-static void calcOpticalFlowSingleScaleSF(const Mat& prev_extended,
-                                         const Mat& next_extended,
-                                         const Mat& mask,
-                                         Mat& flow,
-                                         int averaging_radius,
-                                         int max_flow,
-                                         float sigma_dist,
-                                         float sigma_color) {
-  const int averaging_radius_2 = averaging_radius << 1;
-  const int rows = prev_extended.rows - averaging_radius_2;
-  const int cols = prev_extended.cols - averaging_radius_2;
-
-  Mat weight_window(averaging_radius_2 + 1, averaging_radius_2 + 1, CV_32F);
-  Mat space_weight_window(averaging_radius_2 + 1, averaging_radius_2 + 1, CV_32F);
-
-  wd(space_weight_window, averaging_radius, averaging_radius, averaging_radius, averaging_radius, sigma_dist);
-
-  for (int r0 = 0; r0 < rows; ++r0) {
-    for (int c0 = 0; c0 < cols; ++c0) {
-      if (!mask.at<uchar>(r0, c0)) {
-        continue;
-      }
-
-      // TODO: do smth with this creepy staff
-      Vec2f flow_at_point = flow.at<Vec2f>(r0, c0);
-      int u0 = cvRound(flow_at_point[0]);
-      if (r0 + u0 < 0) { u0 = -r0; }
-      if (r0 + u0 >= rows) { u0 = rows - 1 - r0; }
-      int v0 = cvRound(flow_at_point[1]);
-      if (c0 + v0 < 0) { v0 = -c0; }
-      if (c0 + v0 >= cols) { v0 = cols - 1 - c0; }
-
-      const int top_row_shift = -std::min(r0 + u0, max_flow);
-      const int bottom_row_shift = std::min(rows - 1 - (r0 + u0), max_flow);
-      const int left_col_shift = -std::min(c0 + v0, max_flow);
-      const int right_col_shift = std::min(cols - 1 - (c0 + v0), max_flow);
-
-      float min_cost = FLT_MAX, best_u = (float)u0, best_v = (float)v0;
-
-      wc(prev_extended, weight_window, r0 + averaging_radius, c0 + averaging_radius,
-         averaging_radius, averaging_radius, averaging_radius, averaging_radius, sigma_color);
-      multiply(weight_window, space_weight_window, weight_window);
-
-      const int prev_extended_top_window_row = r0;
-      const int prev_extended_left_window_col = c0;
-
-      for (int u = top_row_shift; u <= bottom_row_shift; ++u) {
-        const int next_extended_top_window_row = r0 + u0 + u;
-        for (int v = left_col_shift; v <= right_col_shift; ++v) {
-          const int next_extended_left_window_col = c0 + v0 + v;
-
-          float cost = 0;
-          for (int r = 0; r <= averaging_radius_2; ++r) {
-            const Vec3b *prev_extended_window_row = prev_extended.ptr<Vec3b>(prev_extended_top_window_row + r);
-            const Vec3b *next_extended_window_row = next_extended.ptr<Vec3b>(next_extended_top_window_row + r);
-            const float* weight_window_row = weight_window.ptr<float>(r);
-            for (int c = 0; c <= averaging_radius_2; ++c) {
-              cost += weight_window_row[c] *
-                           dist(prev_extended_window_row[prev_extended_left_window_col + c],
-                                next_extended_window_row[next_extended_left_window_col + c]);
-            }
-          }
-          // cost should be divided by sum(weight_window), but because
-          // we interested only in min(cost) and sum(weight_window) is constant
-          // for every point - we remove it
-
-          if (cost < min_cost) {
-            min_cost = cost;
-            best_u = (float)(u + u0);
-            best_v = (float)(v + v0);
-          }
-        }
-      }
-      flow.at<Vec2f>(r0, c0) = Vec2f(best_u, best_v);
-    }
-  }
-}
-
-static Mat upscaleOpticalFlow(int new_rows,
-                               int new_cols,
-                               const Mat& image,
-                               const Mat& confidence,
-                               Mat& flow,
-                               int averaging_radius,
-                               float sigma_dist,
-                               float sigma_color) {
-  crossBilateralFilter(flow, image, confidence, flow, averaging_radius, sigma_color, sigma_dist, true);
-  Mat new_flow;
-  resize(flow, new_flow, Size(new_cols, new_rows), 0, 0, INTER_NEAREST);
-  new_flow *= 2;
-  return new_flow;
-}
-
-static Mat calcIrregularityMat(const Mat& flow, int radius) {
-  const int rows = flow.rows;
-  const int cols = flow.cols;
-  Mat irregularity = Mat::zeros(rows, cols, CV_32F);
-  for (int r = 0; r < rows; ++r) {
-    const int start_row = std::max(0, r - radius);
-    const int end_row = std::min(rows - 1, r + radius);
-    for (int c = 0; c < cols; ++c) {
-      const int start_col = std::max(0, c - radius);
-      const int end_col = std::min(cols - 1, c + radius);
-      for (int dr = start_row; dr <= end_row; ++dr) {
-        for (int dc = start_col; dc <= end_col; ++dc) {
-          const float diff = dist(flow.at<Vec2f>(r, c), flow.at<Vec2f>(dr, dc));
-          if (diff > irregularity.at<float>(r, c)) {
-            irregularity.at<float>(r, c) = diff;
-          }
-        }
-      }
-    }
-  }
-  return irregularity;
-}
-
-static void selectPointsToRecalcFlow(const Mat& flow,
-                                     int irregularity_metric_radius,
-                                     float speed_up_thr,
-                                     int curr_rows,
-                                     int curr_cols,
-                                     const Mat& prev_speed_up,
-                                     Mat& speed_up,
-                                     Mat& mask) {
-  const int prev_rows = flow.rows;
-  const int prev_cols = flow.cols;
-
-  Mat is_flow_regular = calcIrregularityMat(flow, irregularity_metric_radius)
-                              < speed_up_thr;
-  Mat done = Mat::zeros(prev_rows, prev_cols, CV_8U);
-  speed_up = Mat::zeros(curr_rows, curr_cols, CV_8U);
-  mask = Mat::zeros(curr_rows, curr_cols, CV_8U);
-
-  for (int r = 0; r < is_flow_regular.rows; ++r) {
-    for (int c = 0; c < is_flow_regular.cols; ++c) {
-      if (!done.at<uchar>(r, c)) {
-        if (is_flow_regular.at<uchar>(r, c) &&
-            2*r + 1 < curr_rows && 2*c + 1< curr_cols) {
-
-          bool all_flow_in_region_regular = true;
-          int speed_up_at_this_point = prev_speed_up.at<uchar>(r, c);
-          int step = (1 << speed_up_at_this_point) - 1;
-          int prev_top = r;
-          int prev_bottom = std::min(r + step, prev_rows - 1);
-          int prev_left = c;
-          int prev_right = std::min(c + step, prev_cols - 1);
-
-          for (int rr = prev_top; rr <= prev_bottom; ++rr) {
-            for (int cc = prev_left; cc <= prev_right; ++cc) {
-              done.at<uchar>(rr, cc) = 1;
-              if (!is_flow_regular.at<uchar>(rr, cc)) {
-                all_flow_in_region_regular = false;
-              }
-            }
-          }
-
-          int curr_top = std::min(2 * r, curr_rows - 1);
-          int curr_bottom = std::min(2*(r + step) + 1, curr_rows - 1);
-          int curr_left = std::min(2 * c, curr_cols - 1);
-          int curr_right = std::min(2*(c + step) + 1, curr_cols - 1);
-
-          if (all_flow_in_region_regular &&
-              curr_top != curr_bottom &&
-              curr_left != curr_right) {
-            mask.at<uchar>(curr_top, curr_left) = MASK_TRUE_VALUE;
-            mask.at<uchar>(curr_bottom, curr_left) = MASK_TRUE_VALUE;
-            mask.at<uchar>(curr_top, curr_right) = MASK_TRUE_VALUE;
-            mask.at<uchar>(curr_bottom, curr_right) = MASK_TRUE_VALUE;
-            for (int rr = curr_top; rr <= curr_bottom; ++rr) {
-              for (int cc = curr_left; cc <= curr_right; ++cc) {
-                speed_up.at<uchar>(rr, cc) = (uchar)(speed_up_at_this_point + 1);
-              }
-            }
-          } else {
-            for (int rr = curr_top; rr <= curr_bottom; ++rr) {
-              for (int cc = curr_left; cc <= curr_right; ++cc) {
-                mask.at<uchar>(rr, cc) = MASK_TRUE_VALUE;
-              }
-            }
-          }
-        } else {
-          done.at<uchar>(r, c) = 1;
-          for (int dr = 0; dr <= 1; ++dr) {
-            int nr = 2*r + dr;
-            for (int dc = 0; dc <= 1; ++dc) {
-              int nc = 2*c + dc;
-              if (nr < curr_rows && nc < curr_cols) {
-                mask.at<uchar>(nr, nc) = MASK_TRUE_VALUE;
-              }
-            }
-          }
-        }
-      }
-    }
-  }
-}
-
-static inline float extrapolateValueInRect(int height, int width,
-                                            float v11, float v12,
-                                            float v21, float v22,
-                                            int r, int c) {
-  if (r == 0 && c == 0) { return v11;}
-  if (r == 0 && c == width) { return v12;}
-  if (r == height && c == 0) { return v21;}
-  if (r == height && c == width) { return v22;}
-
-  CV_Assert(height > 0 && width > 0);
-  float qr = float(r) / height;
-  float pr = 1.0f - qr;
-  float qc = float(c) / width;
-  float pc = 1.0f - qc;
-
-  return v11*pr*pc + v12*pr*qc + v21*qr*pc + v22*qc*qr;
-}
-
-static void extrapolateFlow(Mat& flow,
-                            const Mat& speed_up) {
-  const int rows = flow.rows;
-  const int cols = flow.cols;
-  Mat done = Mat::zeros(rows, cols, CV_8U);
-  for (int r = 0; r < rows; ++r) {
-    for (int c = 0; c < cols; ++c) {
-      if (!done.at<uchar>(r, c) && speed_up.at<uchar>(r, c) > 1) {
-        int step = (1 << speed_up.at<uchar>(r, c)) - 1;
-        int top = r;
-        int bottom = std::min(r + step, rows - 1);
-        int left = c;
-        int right = std::min(c + step, cols - 1);
-
-        int height = bottom - top;
-        int width = right - left;
-        for (int rr = top; rr <= bottom; ++rr) {
-          for (int cc = left; cc <= right; ++cc) {
-            done.at<uchar>(rr, cc) = 1;
-            Vec2f flow_at_point;
-            Vec2f top_left = flow.at<Vec2f>(top, left);
-            Vec2f top_right = flow.at<Vec2f>(top, right);
-            Vec2f bottom_left = flow.at<Vec2f>(bottom, left);
-            Vec2f bottom_right = flow.at<Vec2f>(bottom, right);
-
-            flow_at_point[0] = extrapolateValueInRect(height, width,
-                                                      top_left[0], top_right[0],
-                                                      bottom_left[0], bottom_right[0],
-                                                      rr-top, cc-left);
-
-            flow_at_point[1] = extrapolateValueInRect(height, width,
-                                                      top_left[1], top_right[1],
-                                                      bottom_left[1], bottom_right[1],
-                                                      rr-top, cc-left);
-            flow.at<Vec2f>(rr, cc) = flow_at_point;
-          }
-        }
-      }
-    }
-  }
-}
-
-static void buildPyramidWithResizeMethod(const Mat& src,
-                                  std::vector<Mat>& pyramid,
-                                  int layers,
-                                  int interpolation_type) {
-  pyramid.push_back(src);
-  for (int i = 1; i <= layers; ++i) {
-    Mat prev = pyramid[i - 1];
-    if (prev.rows <= 1 || prev.cols <= 1) {
-      break;
-    }
-
-    Mat next;
-    resize(prev, next, Size((prev.cols + 1) / 2, (prev.rows + 1) / 2), 0, 0, interpolation_type);
-    pyramid.push_back(next);
-  }
-}
-
-CV_EXPORTS_W void calcOpticalFlowSF(InputArray _from,
-                                    InputArray _to,
-                                    OutputArray _resulted_flow,
-                                    int layers,
-                                    int averaging_radius,
-                                    int max_flow,
-                                    double sigma_dist,
-                                    double sigma_color,
-                                    int postprocess_window,
-                                    double sigma_dist_fix,
-                                    double sigma_color_fix,
-                                    double occ_thr,
-                                    int upscale_averaging_radius,
-                                    double upscale_sigma_dist,
-                                    double upscale_sigma_color,
-                                    double speed_up_thr)
-{
-  Mat from = _from.getMat();
-  Mat to = _to.getMat();
-
-  std::vector<Mat> pyr_from_images;
-  std::vector<Mat> pyr_to_images;
-
-  buildPyramidWithResizeMethod(from, pyr_from_images, layers - 1, INTER_CUBIC);
-  buildPyramidWithResizeMethod(to, pyr_to_images, layers - 1, INTER_CUBIC);
-
-  CV_Assert((int)pyr_from_images.size() == layers && (int)pyr_to_images.size() == layers);
-
-  Mat curr_from, curr_to, prev_from, prev_to;
-  Mat curr_from_extended, curr_to_extended;
-
-  curr_from = pyr_from_images[layers - 1];
-  curr_to = pyr_to_images[layers - 1];
-
-  copyMakeBorder(curr_from, curr_from_extended,
-                 averaging_radius, averaging_radius, averaging_radius, averaging_radius,
-                 BORDER_DEFAULT);
-  copyMakeBorder(curr_to, curr_to_extended,
-                 averaging_radius, averaging_radius, averaging_radius, averaging_radius,
-                 BORDER_DEFAULT);
-
-  Mat mask = Mat::ones(curr_from.size(), CV_8U);
-  Mat mask_inv = Mat::ones(curr_from.size(), CV_8U);
-
-  Mat flow = Mat::zeros(curr_from.size(), CV_32FC2);
-  Mat flow_inv = Mat::zeros(curr_to.size(), CV_32FC2);
-
-  Mat confidence;
-  Mat confidence_inv;
-
-
-  calcOpticalFlowSingleScaleSF(curr_from_extended,
-                               curr_to_extended,
-                               mask,
-                               flow,
-                               averaging_radius,
-                               max_flow,
-                               (float)sigma_dist,
-                               (float)sigma_color);
-
-  calcOpticalFlowSingleScaleSF(curr_to_extended,
-                               curr_from_extended,
-                               mask_inv,
-                               flow_inv,
-                               averaging_radius,
-                               max_flow,
-                               (float)sigma_dist,
-                               (float)sigma_color);
-
-  removeOcclusions(flow,
-                   flow_inv,
-                   (float)occ_thr,
-                   confidence);
-
-  removeOcclusions(flow_inv,
-                   flow,
-                   (float)occ_thr,
-                   confidence_inv);
-
-  Mat speed_up = Mat::zeros(curr_from.size(), CV_8U);
-  Mat speed_up_inv = Mat::zeros(curr_from.size(), CV_8U);
-
-  for (int curr_layer = layers - 2; curr_layer >= 0; --curr_layer) {
-    curr_from = pyr_from_images[curr_layer];
-    curr_to = pyr_to_images[curr_layer];
-    prev_from = pyr_from_images[curr_layer + 1];
-    prev_to = pyr_to_images[curr_layer + 1];
-
-    copyMakeBorder(curr_from, curr_from_extended,
-                   averaging_radius, averaging_radius, averaging_radius, averaging_radius,
-                   BORDER_DEFAULT);
-    copyMakeBorder(curr_to, curr_to_extended,
-                   averaging_radius, averaging_radius, averaging_radius, averaging_radius,
-                   BORDER_DEFAULT);
-
-    const int curr_rows = curr_from.rows;
-    const int curr_cols = curr_from.cols;
-
-    Mat new_speed_up, new_speed_up_inv;
-
-    selectPointsToRecalcFlow(flow,
-                             averaging_radius,
-                             (float)speed_up_thr,
-                             curr_rows,
-                             curr_cols,
-                             speed_up,
-                             new_speed_up,
-                             mask);
-
-    selectPointsToRecalcFlow(flow_inv,
-                             averaging_radius,
-                             (float)speed_up_thr,
-                             curr_rows,
-                             curr_cols,
-                             speed_up_inv,
-                             new_speed_up_inv,
-                             mask_inv);
-
-    speed_up = new_speed_up;
-    speed_up_inv = new_speed_up_inv;
-
-    flow = upscaleOpticalFlow(curr_rows,
-                              curr_cols,
-                              prev_from,
-                              confidence,
-                              flow,
-                              upscale_averaging_radius,
-                              (float)upscale_sigma_dist,
-                              (float)upscale_sigma_color);
-
-    flow_inv = upscaleOpticalFlow(curr_rows,
-                                  curr_cols,
-                                  prev_to,
-                                  confidence_inv,
-                                  flow_inv,
-                                  upscale_averaging_radius,
-                                  (float)upscale_sigma_dist,
-                                  (float)upscale_sigma_color);
-
-    calcConfidence(curr_from, curr_to, flow, confidence, max_flow);
-    calcOpticalFlowSingleScaleSF(curr_from_extended,
-                                 curr_to_extended,
-                                 mask,
-                                 flow,
-                                 averaging_radius,
-                                 max_flow,
-                                 (float)sigma_dist,
-                                 (float)sigma_color);
-
-    calcConfidence(curr_to, curr_from, flow_inv, confidence_inv, max_flow);
-    calcOpticalFlowSingleScaleSF(curr_to_extended,
-                                 curr_from_extended,
-                                 mask_inv,
-                                 flow_inv,
-                                 averaging_radius,
-                                 max_flow,
-                                 (float)sigma_dist,
-                                 (float)sigma_color);
-
-    extrapolateFlow(flow, speed_up);
-    extrapolateFlow(flow_inv, speed_up_inv);
-
-    //TODO: should we remove occlusions for the last stage?
-    removeOcclusions(flow, flow_inv, (float)occ_thr, confidence);
-    removeOcclusions(flow_inv, flow, (float)occ_thr, confidence_inv);
-  }
-
-  crossBilateralFilter(flow, curr_from, confidence, flow,
-                       postprocess_window, (float)sigma_color_fix, (float)sigma_dist_fix);
-
-  GaussianBlur(flow, flow, Size(3, 3), 5);
-
-  _resulted_flow.create(flow.size(), CV_32FC2);
-  Mat resulted_flow = _resulted_flow.getMat();
-  int from_to[] = {0,1 , 1,0};
-  mixChannels(&flow, 1, &resulted_flow, 1, from_to, 2);
-}
-
-CV_EXPORTS_W void calcOpticalFlowSF(InputArray from,
-                                    InputArray to,
-                                    OutputArray flow,
-                                    int layers,
-                                    int averaging_block_size,
-                                    int max_flow) {
-  calcOpticalFlowSF(from, to, flow, layers, averaging_block_size, max_flow,
-                    4.1, 25.5, 18, 55.0, 25.5, 0.35, 18, 55.0, 25.5, 10);
-}
-
-}
diff --git a/modules/video/test/ocl/test_motempl.cpp b/modules/video/test/ocl/test_motempl.cpp
deleted file mode 100644
index f8c6abc633..0000000000
--- a/modules/video/test/ocl/test_motempl.cpp
+++ /dev/null
@@ -1,67 +0,0 @@
-// This file is part of OpenCV project.
-// It is subject to the license terms in the LICENSE file found in the top-level directory
-// of this distribution and at http://opencv.org/license.html.
-
-// Copyright (C) 2014, Advanced Micro Devices, Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-
-#include "../test_precomp.hpp"
-#include "opencv2/ts/ocl_test.hpp"
-
-#ifdef HAVE_OPENCL
-
-namespace cvtest {
-namespace ocl {
-
-PARAM_TEST_CASE(UpdateMotionHistory, bool)
-{
-    double timestamp, duration;
-    bool use_roi;
-
-    TEST_DECLARE_INPUT_PARAMETER(silhouette);
-    TEST_DECLARE_OUTPUT_PARAMETER(mhi);
-
-    virtual void SetUp()
-    {
-        use_roi = GET_PARAM(0);
-    }
-
-    virtual void generateTestData()
-    {
-        Size roiSize = randomSize(1, MAX_VALUE);
-        Border silhouetteBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
-        randomSubMat(silhouette, silhouette_roi, roiSize, silhouetteBorder, CV_8UC1, -11, 11);
-
-        Border mhiBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
-        randomSubMat(mhi, mhi_roi, roiSize, mhiBorder, CV_32FC1, 0, 1);
-
-        timestamp = randomDouble(0, 1);
-        duration = randomDouble(0, 1);
-        if (timestamp < duration)
-            std::swap(timestamp, duration);
-
-        UMAT_UPLOAD_INPUT_PARAMETER(silhouette);
-        UMAT_UPLOAD_OUTPUT_PARAMETER(mhi);
-    }
-};
-
-OCL_TEST_P(UpdateMotionHistory, Mat)
-{
-    for (int j = 0; j < test_loop_times; j++)
-    {
-        generateTestData();
-
-        OCL_OFF(cv::updateMotionHistory(silhouette_roi, mhi_roi, timestamp, duration));
-        OCL_ON(cv::updateMotionHistory(usilhouette_roi, umhi_roi, timestamp, duration));
-
-        OCL_EXPECT_MATS_NEAR(mhi, 0);
-    }
-}
-
-//////////////////////////////////////// Instantiation /////////////////////////////////////////
-
-OCL_INSTANTIATE_TEST_CASE_P(Video, UpdateMotionHistory, Values(false, true));
-
-} } // namespace cvtest::ocl
-
-#endif // HAVE_OPENCL
diff --git a/modules/video/test/test_backgroundsubtractor_gbh.cpp b/modules/video/test/test_backgroundsubtractor_gbh.cpp
deleted file mode 100644
index 99d53e3d32..0000000000
--- a/modules/video/test/test_backgroundsubtractor_gbh.cpp
+++ /dev/null
@@ -1,137 +0,0 @@
-/*
- * BackgroundSubtractorGBH_test.cpp
- *
- *  Created on: Jun 14, 2012
- *      Author: andrewgodbehere
- */
-
-#include "test_precomp.hpp"
-
-using namespace cv;
-
-class CV_BackgroundSubtractorTest : public cvtest::BaseTest
-{
-public:
-    CV_BackgroundSubtractorTest();
-protected:
-    void run(int);
-};
-
-CV_BackgroundSubtractorTest::CV_BackgroundSubtractorTest()
-{
-}
-
-/**
- * This test checks the following:
- * (i) BackgroundSubtractorGMG can operate with matrices of various types and sizes
- * (ii) Training mode returns empty fgmask
- * (iii) End of training mode, and anomalous frame yields every pixel detected as FG
- */
-void CV_BackgroundSubtractorTest::run(int)
-{
-    int code = cvtest::TS::OK;
-    RNG& rng = ts->get_rng();
-    int type = ((unsigned int)rng)%7;  //!< pick a random type, 0 - 6, defined in types_c.h
-    int channels = 1 + ((unsigned int)rng)%4;  //!< random number of channels from 1 to 4.
-    int channelsAndType = CV_MAKETYPE(type,channels);
-    int width = 2 + ((unsigned int)rng)%98; //!< Mat will be 2 to 100 in width and height
-    int height = 2 + ((unsigned int)rng)%98;
-
-    Ptr<BackgroundSubtractorGMG> fgbg = createBackgroundSubtractorGMG();
-    Mat fgmask;
-
-    if (!fgbg)
-        CV_Error(Error::StsError,"Failed to create Algorithm\n");
-
-    /**
-     * Set a few parameters
-     */
-    fgbg->setSmoothingRadius(7);
-    fgbg->setDecisionThreshold(0.7);
-    fgbg->setNumFrames(120);
-
-    /**
-     * Generate bounds for the values in the matrix for each type
-     */
-    double maxd = 0, mind = 0;
-
-    /**
-     * Max value for simulated images picked randomly in upper half of type range
-     * Min value for simulated images picked randomly in lower half of type range
-     */
-    if (type == CV_8U)
-    {
-        uchar half = UCHAR_MAX/2;
-        maxd = (unsigned char)rng.uniform(half+32, UCHAR_MAX);
-        mind = (unsigned char)rng.uniform(0, half-32);
-    }
-    else if (type == CV_8S)
-    {
-        maxd = (char)rng.uniform(32, CHAR_MAX);
-        mind = (char)rng.uniform(CHAR_MIN, -32);
-    }
-    else if (type == CV_16U)
-    {
-        ushort half = USHRT_MAX/2;
-        maxd = (unsigned int)rng.uniform(half+32, USHRT_MAX);
-        mind = (unsigned int)rng.uniform(0, half-32);
-    }
-    else if (type == CV_16S)
-    {
-        maxd = rng.uniform(32, SHRT_MAX);
-        mind = rng.uniform(SHRT_MIN, -32);
-    }
-    else if (type == CV_32S)
-    {
-        maxd = rng.uniform(32, INT_MAX);
-        mind = rng.uniform(INT_MIN, -32);
-    }
-    else if (type == CV_32F)
-    {
-        maxd = rng.uniform(32.0f, FLT_MAX);
-        mind = rng.uniform(-FLT_MAX, -32.0f);
-    }
-    else if (type == CV_64F)
-    {
-        maxd = rng.uniform(32.0, DBL_MAX);
-        mind = rng.uniform(-DBL_MAX, -32.0);
-    }
-
-    fgbg->setMinVal(mind);
-    fgbg->setMaxVal(maxd);
-
-    Mat simImage = Mat::zeros(height, width, channelsAndType);
-    int numLearningFrames = 120;
-    for (int i = 0; i < numLearningFrames; ++i)
-    {
-        /**
-         * Genrate simulated "image" for any type. Values always confined to upper half of range.
-         */
-        rng.fill(simImage, RNG::UNIFORM, (mind + maxd)*0.5, maxd);
-
-        /**
-         * Feed simulated images into background subtractor
-         */
-        fgbg->apply(simImage,fgmask);
-        Mat fullbg = Mat::zeros(simImage.rows, simImage.cols, CV_8U);
-
-        //! fgmask should be entirely background during training
-        code = cvtest::cmpEps2( ts, fgmask, fullbg, 0, false, "The training foreground mask" );
-        if (code < 0)
-            ts->set_failed_test_info( code );
-    }
-    //! generate last image, distinct from training images
-    rng.fill(simImage, RNG::UNIFORM, mind, maxd);
-
-    fgbg->apply(simImage,fgmask);
-    //! now fgmask should be entirely foreground
-    Mat fullfg = 255*Mat::ones(simImage.rows, simImage.cols, CV_8U);
-    code = cvtest::cmpEps2( ts, fgmask, fullfg, 255, false, "The final foreground mask" );
-    if (code < 0)
-    {
-        ts->set_failed_test_info( code );
-    }
-
-}
-
-TEST(VIDEO_BGSUBGMG, accuracy) { CV_BackgroundSubtractorTest test; test.safe_run(); }
diff --git a/modules/video/test/test_motiontemplates.cpp b/modules/video/test/test_motiontemplates.cpp
deleted file mode 100644
index 7779327b10..0000000000
--- a/modules/video/test/test_motiontemplates.cpp
+++ /dev/null
@@ -1,500 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                        Intel License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of Intel Corporation may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "test_precomp.hpp"
-
-using namespace cv;
-using namespace std;
-
-///////////////////// base MHI class ///////////////////////
-class CV_MHIBaseTest : public cvtest::ArrayTest
-{
-public:
-    CV_MHIBaseTest();
-
-protected:
-    void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
-    void get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high );
-    int prepare_test_case( int test_case_idx );
-    double timestamp, duration, max_log_duration;
-    int mhi_i, mhi_ref_i;
-    double silh_ratio;
-};
-
-
-CV_MHIBaseTest::CV_MHIBaseTest()
-{
-    timestamp = duration = 0;
-    max_log_duration = 9;
-    mhi_i = mhi_ref_i = -1;
-
-    silh_ratio = 0.25;
-}
-
-
-void CV_MHIBaseTest::get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high )
-{
-    cvtest::ArrayTest::get_minmax_bounds( i, j, type, low, high );
-    if( i == INPUT && CV_MAT_DEPTH(type) == CV_8U )
-    {
-        low = Scalar::all(cvRound(-1./silh_ratio)+2.);
-        high = Scalar::all(2);
-    }
-    else if( i == mhi_i || i == mhi_ref_i )
-    {
-        low = Scalar::all(-exp(max_log_duration));
-        high = Scalar::all(0.);
-    }
-}
-
-
-void CV_MHIBaseTest::get_test_array_types_and_sizes( int test_case_idx,
-                                                vector<vector<Size> >& sizes, vector<vector<int> >& types )
-{
-    RNG& rng = ts->get_rng();
-    cvtest::ArrayTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
-
-    types[INPUT][0] = CV_8UC1;
-    types[mhi_i][0] = types[mhi_ref_i][0] = CV_32FC1;
-    duration = exp(cvtest::randReal(rng)*max_log_duration);
-    timestamp = duration + cvtest::randReal(rng)*30.-10.;
-}
-
-
-int CV_MHIBaseTest::prepare_test_case( int test_case_idx )
-{
-    int code = cvtest::ArrayTest::prepare_test_case( test_case_idx );
-    if( code > 0 )
-    {
-        Mat& mat = test_mat[mhi_i][0];
-        mat += Scalar::all(duration);
-        cv::max(mat, 0, mat);
-        if( mhi_i != mhi_ref_i )
-        {
-            Mat& mat0 = test_mat[mhi_ref_i][0];
-            cvtest::copy( mat, mat0 );
-        }
-    }
-
-    return code;
-}
-
-
-///////////////////// update motion history ////////////////////////////
-
-static void test_updateMHI( const Mat& silh, Mat& mhi, double timestamp, double duration )
-{
-    int i, j;
-    float delbound = (float)(timestamp - duration);
-    for( i = 0; i < mhi.rows; i++ )
-    {
-        const uchar* silh_row = silh.ptr(i);
-        float* mhi_row = mhi.ptr<float>(i);
-
-        for( j = 0; j < mhi.cols; j++ )
-        {
-            if( silh_row[j] )
-                mhi_row[j] = (float)timestamp;
-            else if( mhi_row[j] < delbound )
-                mhi_row[j] = 0.f;
-        }
-    }
-}
-
-
-class CV_UpdateMHITest : public CV_MHIBaseTest
-{
-public:
-    CV_UpdateMHITest();
-
-protected:
-    double get_success_error_level( int test_case_idx, int i, int j );
-    void run_func();
-    void prepare_to_validation( int );
-};
-
-
-CV_UpdateMHITest::CV_UpdateMHITest()
-{
-    test_array[INPUT].push_back(NULL);
-    test_array[INPUT_OUTPUT].push_back(NULL);
-    test_array[REF_INPUT_OUTPUT].push_back(NULL);
-    mhi_i = INPUT_OUTPUT; mhi_ref_i = REF_INPUT_OUTPUT;
-}
-
-
-double CV_UpdateMHITest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
-{
-    return 0;
-}
-
-
-void CV_UpdateMHITest::run_func()
-{
-    cv::updateMotionHistory( test_mat[INPUT][0], test_mat[INPUT_OUTPUT][0], timestamp, duration);
-}
-
-
-void CV_UpdateMHITest::prepare_to_validation( int /*test_case_idx*/ )
-{
-    //CvMat m0 = test_mat[REF_INPUT_OUTPUT][0];
-    test_updateMHI( test_mat[INPUT][0], test_mat[REF_INPUT_OUTPUT][0], timestamp, duration );
-}
-
-
-///////////////////// calc motion gradient ////////////////////////////
-
-static void test_MHIGradient( const Mat& mhi, Mat& mask, Mat& orientation,
-                              double delta1, double delta2, int aperture_size )
-{
-    Point anchor( aperture_size/2, aperture_size/2 );
-    double limit = 1e-4*aperture_size*aperture_size;
-
-    Mat dx, dy, min_mhi, max_mhi;
-
-    Mat kernel = cvtest::calcSobelKernel2D( 1, 0, aperture_size );
-    cvtest::filter2D( mhi, dx, CV_32F, kernel, anchor, 0, BORDER_REPLICATE );
-    kernel = cvtest::calcSobelKernel2D( 0, 1, aperture_size );
-    cvtest::filter2D( mhi, dy, CV_32F, kernel, anchor, 0, BORDER_REPLICATE );
-
-    kernel = Mat::ones(aperture_size, aperture_size, CV_8U);
-    cvtest::erode(mhi, min_mhi, kernel, anchor, 0, BORDER_REPLICATE);
-    cvtest::dilate(mhi, max_mhi, kernel, anchor, 0, BORDER_REPLICATE);
-
-    if( delta1 > delta2 )
-    {
-        std::swap( delta1, delta2 );
-    }
-
-    for( int i = 0; i < mhi.rows; i++ )
-    {
-        uchar* mask_row = mask.ptr(i);
-        float* orient_row = orientation.ptr<float>(i);
-        const float* dx_row = dx.ptr<float>(i);
-        const float* dy_row = dy.ptr<float>(i);
-        const float* min_row = min_mhi.ptr<float>(i);
-        const float* max_row = max_mhi.ptr<float>(i);
-
-        for( int j = 0; j < mhi.cols; j++ )
-        {
-            double delta = max_row[j] - min_row[j];
-            double _dx = dx_row[j], _dy = dy_row[j];
-
-            if( delta1 <= delta && delta <= delta2 &&
-                (fabs(_dx) > limit || fabs(_dy) > limit) )
-            {
-                mask_row[j] = 1;
-                double angle = atan2( _dy, _dx ) * (180/CV_PI);
-                if( angle < 0 )
-                    angle += 360.;
-                orient_row[j] = (float)angle;
-            }
-            else
-            {
-                mask_row[j] = 0;
-                orient_row[j] = 0.f;
-            }
-        }
-    }
-}
-
-
-class CV_MHIGradientTest : public CV_MHIBaseTest
-{
-public:
-    CV_MHIGradientTest();
-
-protected:
-    void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
-    double get_success_error_level( int test_case_idx, int i, int j );
-    void run_func();
-    void prepare_to_validation( int );
-
-    double delta1, delta2, delta_range_log;
-    int aperture_size;
-};
-
-
-CV_MHIGradientTest::CV_MHIGradientTest()
-{
-    mhi_i = mhi_ref_i = INPUT;
-    test_array[INPUT].push_back(NULL);
-    test_array[OUTPUT].push_back(NULL);
-    test_array[OUTPUT].push_back(NULL);
-    test_array[REF_OUTPUT].push_back(NULL);
-    test_array[REF_OUTPUT].push_back(NULL);
-    delta1 = delta2 = 0;
-    aperture_size = 0;
-    delta_range_log = 4;
-}
-
-
-void CV_MHIGradientTest::get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types )
-{
-    RNG& rng = ts->get_rng();
-    CV_MHIBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
-
-    types[OUTPUT][0] = types[REF_OUTPUT][0] = CV_8UC1;
-    types[OUTPUT][1] = types[REF_OUTPUT][1] = CV_32FC1;
-    delta1 = exp(cvtest::randReal(rng)*delta_range_log + 1.);
-    delta2 = exp(cvtest::randReal(rng)*delta_range_log + 1.);
-    aperture_size = (cvtest::randInt(rng)%3)*2+3;
-    //duration = exp(cvtest::randReal(rng)*max_log_duration);
-    //timestamp = duration + cvtest::randReal(rng)*30.-10.;
-}
-
-
-double CV_MHIGradientTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int j )
-{
-    return j == 0 ? 0 : 2e-1;
-}
-
-
-void CV_MHIGradientTest::run_func()
-{
-    cv::calcMotionGradient(test_mat[INPUT][0], test_mat[OUTPUT][0],
-                           test_mat[OUTPUT][1], delta1, delta2, aperture_size );
-    //cvCalcMotionGradient( test_array[INPUT][0], test_array[OUTPUT][0],
-    //                      test_array[OUTPUT][1], delta1, delta2, aperture_size );
-}
-
-
-void CV_MHIGradientTest::prepare_to_validation( int /*test_case_idx*/ )
-{
-    test_MHIGradient( test_mat[INPUT][0], test_mat[REF_OUTPUT][0],
-                      test_mat[REF_OUTPUT][1], delta1, delta2, aperture_size );
-    test_mat[REF_OUTPUT][0] += Scalar::all(1);
-    test_mat[OUTPUT][0] += Scalar::all(1);
-}
-
-
-////////////////////// calc global orientation /////////////////////////
-
-static double test_calcGlobalOrientation( const Mat& orient, const Mat& mask,
-                                          const Mat& mhi, double timestamp, double duration )
-{
-    const int HIST_SIZE = 12;
-    int      y, x;
-    int      histogram[HIST_SIZE];
-    int      max_bin = 0;
-
-    double   base_orientation = 0, delta_orientation = 0, weight = 0;
-    double   low_time, global_orientation;
-
-    memset( histogram, 0, sizeof( histogram ));
-    timestamp = 0;
-
-    for( y = 0; y < orient.rows; y++ )
-    {
-        const float* orient_data = orient.ptr<float>(y);
-        const uchar* mask_data = mask.ptr(y);
-        const float* mhi_data = mhi.ptr<float>(y);
-        for( x = 0; x < orient.cols; x++ )
-            if( mask_data[x] )
-            {
-                int bin = cvFloor( (orient_data[x]*HIST_SIZE)/360 );
-                histogram[bin < 0 ? 0 : bin >= HIST_SIZE ? HIST_SIZE-1 : bin]++;
-                if( mhi_data[x] > timestamp )
-                    timestamp = mhi_data[x];
-            }
-    }
-
-    low_time = timestamp - duration;
-
-    for( x = 1; x < HIST_SIZE; x++ )
-    {
-        if( histogram[x] > histogram[max_bin] )
-            max_bin = x;
-    }
-
-    base_orientation = ((double)max_bin*360)/HIST_SIZE;
-
-    for( y = 0; y < orient.rows; y++ )
-    {
-        const float* orient_data = orient.ptr<float>(y);
-        const float* mhi_data = mhi.ptr<float>(y);
-        const uchar* mask_data = mask.ptr(y);
-
-        for( x = 0; x < orient.cols; x++ )
-        {
-            if( mask_data[x] && mhi_data[x] > low_time )
-            {
-                double diff = orient_data[x] - base_orientation;
-                double delta_weight = (((mhi_data[x] - low_time)/duration)*254 + 1)/255;
-
-                if( diff < -180 ) diff += 360;
-                if( diff > 180 ) diff -= 360;
-
-                if( delta_weight > 0 && fabs(diff) < 45 )
-                {
-                    delta_orientation += diff*delta_weight;
-                    weight += delta_weight;
-                }
-            }
-        }
-    }
-
-    if( weight == 0 )
-        global_orientation = base_orientation;
-    else
-    {
-        global_orientation = base_orientation + delta_orientation/weight;
-        if( global_orientation < 0 ) global_orientation += 360;
-        if( global_orientation > 360 ) global_orientation -= 360;
-    }
-
-    return global_orientation;
-}
-
-
-class CV_MHIGlobalOrientTest : public CV_MHIBaseTest
-{
-public:
-    CV_MHIGlobalOrientTest();
-
-protected:
-    void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
-    void get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high );
-    double get_success_error_level( int test_case_idx, int i, int j );
-    int validate_test_results( int test_case_idx );
-    void run_func();
-    double angle, min_angle, max_angle;
-};
-
-
-CV_MHIGlobalOrientTest::CV_MHIGlobalOrientTest()
-{
-    mhi_i = mhi_ref_i = INPUT;
-    test_array[INPUT].push_back(NULL);
-    test_array[INPUT].push_back(NULL);
-    test_array[INPUT].push_back(NULL);
-    min_angle = max_angle = 0;
-}
-
-
-void CV_MHIGlobalOrientTest::get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types )
-{
-    RNG& rng = ts->get_rng();
-    CV_MHIBaseTest::get_test_array_types_and_sizes( test_case_idx, sizes, types );
-    Size size = sizes[INPUT][0];
-
-    size.width = MAX( size.width, 16 );
-    size.height = MAX( size.height, 16 );
-    sizes[INPUT][0] = sizes[INPUT][1] = sizes[INPUT][2] = size;
-
-    types[INPUT][1] = CV_8UC1; // mask
-    types[INPUT][2] = CV_32FC1; // orientation
-
-    min_angle = cvtest::randReal(rng)*359.9;
-    max_angle = cvtest::randReal(rng)*359.9;
-    if( min_angle >= max_angle )
-    {
-        std::swap( min_angle, max_angle);
-    }
-    max_angle += 0.1;
-    duration = exp(cvtest::randReal(rng)*max_log_duration);
-    timestamp = duration + cvtest::randReal(rng)*30.-10.;
-}
-
-
-void CV_MHIGlobalOrientTest::get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high )
-{
-    CV_MHIBaseTest::get_minmax_bounds( i, j, type, low, high );
-    if( i == INPUT && j == 2 )
-    {
-        low = Scalar::all(min_angle);
-        high = Scalar::all(max_angle);
-    }
-}
-
-
-double CV_MHIGlobalOrientTest::get_success_error_level( int /*test_case_idx*/, int /*i*/, int /*j*/ )
-{
-    return 15;
-}
-
-
-void CV_MHIGlobalOrientTest::run_func()
-{
-    //angle = cvCalcGlobalOrientation( test_array[INPUT][2], test_array[INPUT][1],
-    //                                 test_array[INPUT][0], timestamp, duration );
-    angle = cv::calcGlobalOrientation(test_mat[INPUT][2], test_mat[INPUT][1],
-                                      test_mat[INPUT][0], timestamp, duration );
-}
-
-
-int CV_MHIGlobalOrientTest::validate_test_results( int test_case_idx )
-{
-    //printf("%d. rows=%d, cols=%d, nzmask=%d\n", test_case_idx, test_mat[INPUT][1].rows, test_mat[INPUT][1].cols,
-    //       cvCountNonZero(test_array[INPUT][1]));
-
-    double ref_angle = test_calcGlobalOrientation( test_mat[INPUT][2], test_mat[INPUT][1],
-                                                   test_mat[INPUT][0], timestamp, duration );
-    double err_level = get_success_error_level( test_case_idx, 0, 0 );
-    int code = cvtest::TS::OK;
-    int nz = countNonZero( test_mat[INPUT][1] );
-
-    if( nz > 32 && !(min_angle - err_level <= angle &&
-          max_angle + err_level >= angle) &&
-        !(min_angle - err_level <= angle+360 &&
-          max_angle + err_level >= angle+360) )
-    {
-        ts->printf( cvtest::TS::LOG, "The angle=%g is outside (%g,%g) range\n",
-                    angle, min_angle - err_level, max_angle + err_level );
-        code = cvtest::TS::FAIL_BAD_ACCURACY;
-    }
-    else if( fabs(angle - ref_angle) > err_level &&
-             fabs(360 - fabs(angle - ref_angle)) > err_level )
-    {
-        ts->printf( cvtest::TS::LOG, "The angle=%g differs too much from reference value=%g\n",
-                    angle, ref_angle );
-        code = cvtest::TS::FAIL_BAD_ACCURACY;
-    }
-
-    if( code < 0 )
-        ts->set_failed_test_info( code );
-    return code;
-}
-
-
-TEST(Video_MHIUpdate, accuracy) { CV_UpdateMHITest test; test.safe_run(); }
-TEST(Video_MHIGradient, accuracy) { CV_MHIGradientTest test; test.safe_run(); }
-TEST(Video_MHIGlobalOrient, accuracy) { CV_MHIGlobalOrientTest test; test.safe_run(); }
diff --git a/modules/video/test/test_simpleflow.cpp b/modules/video/test/test_simpleflow.cpp
deleted file mode 100644
index 71a4468e60..0000000000
--- a/modules/video/test/test_simpleflow.cpp
+++ /dev/null
@@ -1,190 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                        Intel License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of Intel Corporation may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "test_precomp.hpp"
-
-#include <string>
-
-using namespace std;
-
-/* ///////////////////// simpleflow_test ///////////////////////// */
-
-class CV_SimpleFlowTest : public cvtest::BaseTest
-{
-public:
-    CV_SimpleFlowTest();
-protected:
-    void run(int);
-};
-
-
-CV_SimpleFlowTest::CV_SimpleFlowTest() {}
-
-static bool readOpticalFlowFromFile(FILE* file, cv::Mat& flow) {
-  char header[5];
-  if (fread(header, 1, 4, file) < 4 && (string)header != "PIEH") {
-    return false;
-  }
-
-  int cols, rows;
-  if (fread(&cols, sizeof(int), 1, file) != 1||
-      fread(&rows, sizeof(int), 1, file) != 1) {
-    return false;
-  }
-
-  flow = cv::Mat::zeros(rows, cols, CV_32FC2);
-
-  for (int i = 0; i < rows; ++i) {
-    for (int j = 0; j < cols; ++j) {
-      cv::Vec2f flow_at_point;
-      if (fread(&(flow_at_point[0]), sizeof(float), 1, file) != 1 ||
-          fread(&(flow_at_point[1]), sizeof(float), 1, file) != 1) {
-        return false;
-      }
-      flow.at<cv::Vec2f>(i, j) = flow_at_point;
-    }
-  }
-
-  return true;
-}
-
-static bool isFlowCorrect(float u) {
-  return !cvIsNaN(u) && (fabs(u) < 1e9);
-}
-
-static float calc_rmse(cv::Mat flow1, cv::Mat flow2) {
-  float sum = 0;
-  int counter = 0;
-  const int rows = flow1.rows;
-  const int cols = flow1.cols;
-
-  for (int y = 0; y < rows; ++y) {
-    for (int x = 0; x < cols; ++x) {
-      cv::Vec2f flow1_at_point = flow1.at<cv::Vec2f>(y, x);
-      cv::Vec2f flow2_at_point = flow2.at<cv::Vec2f>(y, x);
-
-      float u1 = flow1_at_point[0];
-      float v1 = flow1_at_point[1];
-      float u2 = flow2_at_point[0];
-      float v2 = flow2_at_point[1];
-
-      if (isFlowCorrect(u1) && isFlowCorrect(u2) && isFlowCorrect(v1) && isFlowCorrect(v2)) {
-        sum += (u1-u2)*(u1-u2) + (v1-v2)*(v1-v2);
-        counter++;
-      }
-    }
-  }
-  return (float)sqrt(sum / (1e-9 + counter));
-}
-
-void CV_SimpleFlowTest::run(int) {
-    const float MAX_RMSE = 0.6f;
-    const string frame1_path = ts->get_data_path() + "optflow/RubberWhale1.png";
-    const string frame2_path = ts->get_data_path() + "optflow/RubberWhale2.png";
-    const string gt_flow_path = ts->get_data_path() + "optflow/RubberWhale.flo";
-
-    cv::Mat frame1 = cv::imread(frame1_path);
-    cv::Mat frame2 = cv::imread(frame2_path);
-
-    if (frame1.empty()) {
-      ts->printf(cvtest::TS::LOG, "could not read image %s\n", frame2_path.c_str());
-      ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
-      return;
-    }
-
-    if (frame2.empty()) {
-      ts->printf(cvtest::TS::LOG, "could not read image %s\n", frame2_path.c_str());
-      ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
-      return;
-    }
-
-    if (frame1.rows != frame2.rows && frame1.cols != frame2.cols) {
-      ts->printf(cvtest::TS::LOG, "images should be of equal sizes (%s and %s)",
-                 frame1_path.c_str(), frame2_path.c_str());
-      ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
-      return;
-    }
-
-    if (frame1.type() != 16 || frame2.type() != 16) {
-      ts->printf(cvtest::TS::LOG, "images should be of equal type CV_8UC3 (%s and %s)",
-                 frame1_path.c_str(), frame2_path.c_str());
-      ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
-      return;
-    }
-
-    cv::Mat flow_gt;
-
-    FILE* gt_flow_file = fopen(gt_flow_path.c_str(), "rb");
-    if (gt_flow_file == NULL) {
-      ts->printf(cvtest::TS::LOG, "could not read ground-thuth flow from file %s",
-                 gt_flow_path.c_str());
-      ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
-      return;
-    }
-
-    if (!readOpticalFlowFromFile(gt_flow_file, flow_gt)) {
-      ts->printf(cvtest::TS::LOG, "error while reading flow data from file %s",
-                 gt_flow_path.c_str());
-      ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
-      return;
-    }
-    fclose(gt_flow_file);
-
-    cv::Mat flow;
-    cv::calcOpticalFlowSF(frame1, frame2, flow, 3, 2, 4);
-
-    float rmse = calc_rmse(flow_gt, flow);
-
-    ts->printf(cvtest::TS::LOG, "Optical flow estimation RMSE for SimpleFlow algorithm : %lf\n",
-               rmse);
-
-    if (rmse > MAX_RMSE) {
-      ts->printf( cvtest::TS::LOG,
-                 "Too big rmse error : %lf ( >= %lf )\n", rmse, MAX_RMSE);
-      ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
-      return;
-    }
-}
-
-
-TEST(Video_OpticalFlowSimpleFlow, accuracy) { CV_SimpleFlowTest test; test.safe_run(); }
-
-/* End of file. */
diff --git a/samples/cpp/bgfg_gmg.cpp b/samples/cpp/bgfg_gmg.cpp
deleted file mode 100644
index a70bec9ee0..0000000000
--- a/samples/cpp/bgfg_gmg.cpp
+++ /dev/null
@@ -1,81 +0,0 @@
-/*
- * FGBGTest.cpp
- *
- *  Created on: May 7, 2012
- *      Author: Andrew B. Godbehere
- */
-
-#include "opencv2/video.hpp"
-#include "opencv2/videoio.hpp"
-#include "opencv2/highgui.hpp"
-#include <opencv2/core/utility.hpp>
-#include <iostream>
-
-using namespace cv;
-
-static void help()
-{
-    std::cout <<
-    "\nA program demonstrating the use and capabilities of a particular BackgroundSubtraction\n"
-    "algorithm described in A. Godbehere, A. Matsukawa, K. Goldberg, \n"
-    "\"Visual Tracking of Human Visitors under Variable-Lighting Conditions for a Responsive\n"
-    "Audio Art Installation\", American Control Conference, 2012, used in an interactive\n"
-    "installation at the Contemporary Jewish Museum in San Francisco, CA from March 31 through\n"
-    "July 31, 2011.\n"
-    "Call:\n"
-    "./BackgroundSubtractorGMG_sample\n"
-    "Using OpenCV version " << CV_VERSION << "\n"<<std::endl;
-}
-
-int main(int argc, char** argv)
-{
-    help();
-
-    initModule_video();
-    setUseOptimized(true);
-    setNumThreads(8);
-
-    Ptr<BackgroundSubtractor> fgbg = createBackgroundSubtractorGMG(20, 0.7);
-    if (!fgbg)
-    {
-        std::cerr << "Failed to create BackgroundSubtractor.GMG Algorithm." << std::endl;
-        return -1;
-    }
-
-    VideoCapture cap;
-    if (argc > 1)
-        cap.open(argv[1]);
-    else
-        cap.open(0);
-
-    if (!cap.isOpened())
-    {
-        std::cerr << "Cannot read video. Try moving video file to sample directory." << std::endl;
-        return -1;
-    }
-
-    Mat frame, fgmask, segm;
-
-    namedWindow("FG Segmentation", WINDOW_NORMAL);
-
-    for (;;)
-    {
-        cap >> frame;
-
-        if (frame.empty())
-            break;
-
-        fgbg->apply(frame, fgmask);
-
-        frame.convertTo(segm, CV_8U, 0.5);
-        add(frame, Scalar(100, 100, 0), segm, fgmask);
-
-        imshow("FG Segmentation", segm);
-
-        int c = waitKey(30);
-        if (c == 'q' || c == 'Q' || (c & 255) == 27)
-            break;
-    }
-
-    return 0;
-}
diff --git a/samples/cpp/bgfg_segm.cpp b/samples/cpp/bgfg_segm.cpp
index 31c7da05f7..94aa4d8387 100644
--- a/samples/cpp/bgfg_segm.cpp
+++ b/samples/cpp/bgfg_segm.cpp
@@ -21,6 +21,8 @@ static void help()
 const char* keys =
 {
     "{c  camera   |         | use camera or not}"
+    "{m  method   |mog2     | method (knn or mog2) }"
+    "{s  smooth   |         | smooth the mask }"
     "{fn file_name|tree.avi | movie file        }"
 };
 
@@ -31,7 +33,9 @@ int main(int argc, const char** argv)
 
     CommandLineParser parser(argc, argv, keys);
     bool useCamera = parser.has("camera");
+    bool smoothMask = parser.has("smooth");
     string file = parser.get<string>("file_name");
+    string method = parser.get<string>("method");
     VideoCapture cap;
     bool update_bg_model = true;
 
@@ -53,24 +57,31 @@ int main(int argc, const char** argv)
     namedWindow("foreground image", WINDOW_NORMAL);
     namedWindow("mean background image", WINDOW_NORMAL);
 
-    Ptr<BackgroundSubtractor> bg_model = createBackgroundSubtractorMOG2();
+    Ptr<BackgroundSubtractor> bg_model = method == "knn" ?
+            createBackgroundSubtractorKNN().dynamicCast<BackgroundSubtractor>() :
+            createBackgroundSubtractorMOG2().dynamicCast<BackgroundSubtractor>();
 
-    Mat img, fgmask, fgimg;
+    Mat img0, img, fgmask, fgimg;
 
     for(;;)
     {
-        cap >> img;
+        cap >> img0;
 
-        if( img.empty() )
+        if( img0.empty() )
             break;
 
-        //cvtColor(_img, img, COLOR_BGR2GRAY);
+        resize(img0, img, Size(640, 640*img0.rows/img0.cols), INTER_LINEAR);
 
         if( fgimg.empty() )
           fgimg.create(img.size(), img.type());
 
         //update the model
         bg_model->apply(img, fgmask, update_bg_model ? -1 : 0);
+        if( smoothMask )
+        {
+            GaussianBlur(fgmask, fgmask, Size(11, 11), 3.5, 3.5);
+            threshold(fgmask, fgmask, 10, 255, THRESH_BINARY);
+        }
 
         fgimg = Scalar::all(0);
         img.copyTo(fgimg, fgmask);
diff --git a/samples/cpp/motempl.cpp b/samples/cpp/motempl.cpp
deleted file mode 100644
index 66449981e7..0000000000
--- a/samples/cpp/motempl.cpp
+++ /dev/null
@@ -1,204 +0,0 @@
-#include "opencv2/video/tracking_c.h"
-#include "opencv2/imgproc/imgproc_c.h"
-#include "opencv2/videoio/videoio_c.h"
-#include "opencv2/highgui/highgui_c.h"
-#include <time.h>
-#include <stdio.h>
-#include <ctype.h>
-
-static void help(void)
-{
-    printf(
-            "\nThis program demonstrated the use of motion templates -- basically using the gradients\n"
-            "of thresholded layers of decaying frame differencing. New movements are stamped on top with floating system\n"
-            "time code and motions too old are thresholded away. This is the 'motion history file'. The program reads from the camera of your choice or from\n"
-            "a file. Gradients of motion history are used to detect direction of motoin etc\n"
-            "Usage :\n"
-            "./motempl [camera number 0-n or file name, default is camera 0]\n"
-            );
-}
-// various tracking parameters (in seconds)
-const double MHI_DURATION = 1;
-const double MAX_TIME_DELTA = 0.5;
-const double MIN_TIME_DELTA = 0.05;
-// number of cyclic frame buffer used for motion detection
-// (should, probably, depend on FPS)
-const int N = 4;
-
-// ring image buffer
-IplImage **buf = 0;
-int last = 0;
-
-// temporary images
-IplImage *mhi = 0; // MHI
-IplImage *orient = 0; // orientation
-IplImage *mask = 0; // valid orientation mask
-IplImage *segmask = 0; // motion segmentation map
-CvMemStorage* storage = 0; // temporary storage
-
-// parameters:
-//  img - input video frame
-//  dst - resultant motion picture
-//  args - optional parameters
-static void  update_mhi( IplImage* img, IplImage* dst, int diff_threshold )
-{
-    double timestamp = (double)clock()/CLOCKS_PER_SEC; // get current time in seconds
-    CvSize size = cvSize(img->width,img->height); // get current frame size
-    int i, idx1 = last, idx2;
-    IplImage* silh;
-    CvSeq* seq;
-    CvRect comp_rect;
-    double count;
-    double angle;
-    CvPoint center;
-    double magnitude;
-    CvScalar color;
-
-    // allocate images at the beginning or
-    // reallocate them if the frame size is changed
-    if( !mhi || mhi->width != size.width || mhi->height != size.height ) {
-        if( buf == 0 ) {
-            buf = (IplImage**)malloc(N*sizeof(buf[0]));
-            memset( buf, 0, N*sizeof(buf[0]));
-        }
-
-        for( i = 0; i < N; i++ ) {
-            cvReleaseImage( &buf[i] );
-            buf[i] = cvCreateImage( size, IPL_DEPTH_8U, 1 );
-            cvZero( buf[i] );
-        }
-        cvReleaseImage( &mhi );
-        cvReleaseImage( &orient );
-        cvReleaseImage( &segmask );
-        cvReleaseImage( &mask );
-
-        mhi = cvCreateImage( size, IPL_DEPTH_32F, 1 );
-        cvZero( mhi ); // clear MHI at the beginning
-        orient = cvCreateImage( size, IPL_DEPTH_32F, 1 );
-        segmask = cvCreateImage( size, IPL_DEPTH_32F, 1 );
-        mask = cvCreateImage( size, IPL_DEPTH_8U, 1 );
-    }
-
-    cvCvtColor( img, buf[last], CV_BGR2GRAY ); // convert frame to grayscale
-
-    idx2 = (last + 1) % N; // index of (last - (N-1))th frame
-    last = idx2;
-
-    silh = buf[idx2];
-    cvAbsDiff( buf[idx1], buf[idx2], silh ); // get difference between frames
-
-    cvThreshold( silh, silh, diff_threshold, 1, CV_THRESH_BINARY ); // and threshold it
-    cvUpdateMotionHistory( silh, mhi, timestamp, MHI_DURATION ); // update MHI
-
-    // convert MHI to blue 8u image
-    cvCvtScale( mhi, mask, 255./MHI_DURATION,
-                (MHI_DURATION - timestamp)*255./MHI_DURATION );
-    cvZero( dst );
-    cvMerge( mask, 0, 0, 0, dst );
-
-    // calculate motion gradient orientation and valid orientation mask
-    cvCalcMotionGradient( mhi, mask, orient, MAX_TIME_DELTA, MIN_TIME_DELTA, 3 );
-
-    if( !storage )
-        storage = cvCreateMemStorage(0);
-    else
-        cvClearMemStorage(storage);
-
-    // segment motion: get sequence of motion components
-    // segmask is marked motion components map. It is not used further
-    seq = cvSegmentMotion( mhi, segmask, storage, timestamp, MAX_TIME_DELTA );
-
-    // iterate through the motion components,
-    // One more iteration (i == -1) corresponds to the whole image (global motion)
-    for( i = -1; i < seq->total; i++ ) {
-
-        if( i < 0 ) { // case of the whole image
-            comp_rect = cvRect( 0, 0, size.width, size.height );
-            color = CV_RGB(255,255,255);
-            magnitude = 100;
-        }
-        else { // i-th motion component
-            comp_rect = ((CvConnectedComp*)cvGetSeqElem( seq, i ))->rect;
-            if( comp_rect.width + comp_rect.height < 100 ) // reject very small components
-                continue;
-            color = CV_RGB(255,0,0);
-            magnitude = 30;
-        }
-
-        // select component ROI
-        cvSetImageROI( silh, comp_rect );
-        cvSetImageROI( mhi, comp_rect );
-        cvSetImageROI( orient, comp_rect );
-        cvSetImageROI( mask, comp_rect );
-
-        // calculate orientation
-        angle = cvCalcGlobalOrientation( orient, mask, mhi, timestamp, MHI_DURATION);
-        angle = 360.0 - angle;  // adjust for images with top-left origin
-
-        count = cvNorm( silh, 0, CV_L1, 0 ); // calculate number of points within silhouette ROI
-
-        cvResetImageROI( mhi );
-        cvResetImageROI( orient );
-        cvResetImageROI( mask );
-        cvResetImageROI( silh );
-
-        // check for the case of little motion
-        if( count < comp_rect.width*comp_rect.height * 0.05 )
-            continue;
-
-        // draw a clock with arrow indicating the direction
-        center = cvPoint( (comp_rect.x + comp_rect.width/2),
-                          (comp_rect.y + comp_rect.height/2) );
-
-        cvCircle( dst, center, cvRound(magnitude*1.2), color, 3, CV_AA, 0 );
-        cvLine( dst, center, cvPoint( cvRound( center.x + magnitude*cos(angle*CV_PI/180)),
-                cvRound( center.y - magnitude*sin(angle*CV_PI/180))), color, 3, CV_AA, 0 );
-    }
-}
-
-
-int main(int argc, char** argv)
-{
-    IplImage* motion = 0;
-    CvCapture* capture = 0;
-
-    help();
-
-    if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
-        capture = cvCaptureFromCAM( argc == 2 ? argv[1][0] - '0' : 0 );
-    else if( argc == 2 )
-        capture = cvCaptureFromFile( argv[1] );
-
-    if( capture )
-    {
-        cvNamedWindow( "Motion", 1 );
-
-        for(;;)
-        {
-            IplImage* image = cvQueryFrame( capture );
-            if( !image )
-                break;
-
-            if( !motion )
-            {
-                motion = cvCreateImage( cvSize(image->width,image->height), 8, 3 );
-                cvZero( motion );
-                motion->origin = image->origin;
-            }
-
-            update_mhi( image, motion, 30 );
-            cvShowImage( "Motion", motion );
-
-            if( cvWaitKey(10) >= 0 )
-                break;
-        }
-        cvReleaseCapture( &capture );
-        cvDestroyWindow( "Motion" );
-    }
-
-    return 0;
-}
-
-#ifdef _EiC
-main(1,"motempl.c");
-#endif
diff --git a/samples/cpp/segment_objects.cpp b/samples/cpp/segment_objects.cpp
index 32c1f39768..814a3d79ff 100644
--- a/samples/cpp/segment_objects.cpp
+++ b/samples/cpp/segment_objects.cpp
@@ -88,8 +88,8 @@ int main(int argc, char** argv)
     namedWindow("video", 1);
     namedWindow("segmented", 1);
 
-    Ptr<BackgroundSubtractorMOG> bgsubtractor=createBackgroundSubtractorMOG();
-    bgsubtractor->setNoiseSigma(10);
+    Ptr<BackgroundSubtractorMOG2> bgsubtractor=createBackgroundSubtractorMOG2();
+    bgsubtractor->setVarThreshold(10);
 
     for(;;)
     {
diff --git a/samples/cpp/simpleflow_demo.cpp b/samples/cpp/simpleflow_demo.cpp
deleted file mode 100644
index cc84249ec6..0000000000
--- a/samples/cpp/simpleflow_demo.cpp
+++ /dev/null
@@ -1,221 +0,0 @@
-#include <opencv2/core/utility.hpp>
-#include "opencv2/video/tracking.hpp"
-#include "opencv2/imgproc.hpp"
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui.hpp"
-
-#include <cstdio>
-#include <iostream>
-
-using namespace cv;
-using namespace std;
-
-#define APP_NAME "simpleflow_demo : "
-
-static void help()
-{
-  // print a welcome message, and the OpenCV version
-  printf("This is a demo of SimpleFlow optical flow algorithm,\n"
-         "Using OpenCV version %s\n\n", CV_VERSION);
-
-  printf("Usage: simpleflow_demo frame1 frame2 output_flow"
-         "\nApplication will write estimated flow "
-         "\nbetween 'frame1' and 'frame2' in binary format"
-         "\ninto file 'output_flow'"
-         "\nThen one can use code from http://vision.middlebury.edu/flow/data/"
-         "\nto convert flow in binary file to image\n");
-}
-
-// binary file format for flow data specified here:
-// http://vision.middlebury.edu/flow/data/
-static void writeOpticalFlowToFile(const Mat& flow, FILE* file) {
-  int cols = flow.cols;
-  int rows = flow.rows;
-
-  fprintf(file, "PIEH");
-
-  if (fwrite(&cols, sizeof(int), 1, file) != 1 ||
-      fwrite(&rows, sizeof(int), 1, file) != 1) {
-    printf(APP_NAME "writeOpticalFlowToFile : problem writing header\n");
-    exit(1);
-  }
-
-  for (int i= 0; i < rows; ++i) {
-    for (int j = 0; j < cols; ++j) {
-      Vec2f flow_at_point = flow.at<Vec2f>(i, j);
-
-      if (fwrite(&(flow_at_point[0]), sizeof(float), 1, file) != 1 ||
-          fwrite(&(flow_at_point[1]), sizeof(float), 1, file) != 1) {
-        printf(APP_NAME "writeOpticalFlowToFile : problem writing data\n");
-        exit(1);
-      }
-    }
-  }
-}
-
-static void run(int argc, char** argv) {
-  if (argc < 3) {
-    printf(APP_NAME "Wrong number of command line arguments for mode `run`: %d (expected %d)\n",
-           argc, 3);
-    exit(1);
-  }
-
-  Mat frame1 = imread(argv[0]);
-  Mat frame2 = imread(argv[1]);
-
-  if (frame1.empty()) {
-    printf(APP_NAME "Image #1 : %s cannot be read\n", argv[0]);
-    exit(1);
-  }
-
-  if (frame2.empty()) {
-    printf(APP_NAME "Image #2 : %s cannot be read\n", argv[1]);
-    exit(1);
-  }
-
-  if (frame1.rows != frame2.rows && frame1.cols != frame2.cols) {
-    printf(APP_NAME "Images should be of equal sizes\n");
-    exit(1);
-  }
-
-  if (frame1.type() != 16 || frame2.type() != 16) {
-    printf(APP_NAME "Images should be of equal type CV_8UC3\n");
-    exit(1);
-  }
-
-  printf(APP_NAME "Read two images of size [rows = %d, cols = %d]\n",
-         frame1.rows, frame1.cols);
-
-  Mat flow;
-
-  float start = (float)getTickCount();
-  calcOpticalFlowSF(frame1, frame2,
-                    flow,
-                    3, 2, 4, 4.1, 25.5, 18, 55.0, 25.5, 0.35, 18, 55.0, 25.5, 10);
-  printf(APP_NAME "calcOpticalFlowSF : %lf sec\n", (getTickCount() - start) / getTickFrequency());
-
-  FILE* file = fopen(argv[2], "wb");
-  if (file == NULL) {
-    printf(APP_NAME "Unable to open file '%s' for writing\n", argv[2]);
-    exit(1);
-  }
-  printf(APP_NAME "Writing to file\n");
-  writeOpticalFlowToFile(flow, file);
-  fclose(file);
-}
-
-static bool readOpticalFlowFromFile(FILE* file, Mat& flow) {
-  char header[5];
-  if (fread(header, 1, 4, file) < 4 && (string)header != "PIEH") {
-    return false;
-  }
-
-  int cols, rows;
-  if (fread(&cols, sizeof(int), 1, file) != 1||
-      fread(&rows, sizeof(int), 1, file) != 1) {
-    return false;
-  }
-
-  flow = Mat::zeros(rows, cols, CV_32FC2);
-
-  for (int i = 0; i < rows; ++i) {
-    for (int j = 0; j < cols; ++j) {
-      Vec2f flow_at_point;
-      if (fread(&(flow_at_point[0]), sizeof(float), 1, file) != 1 ||
-          fread(&(flow_at_point[1]), sizeof(float), 1, file) != 1) {
-        return false;
-      }
-      flow.at<Vec2f>(i, j) = flow_at_point;
-    }
-  }
-
-  return true;
-}
-
-static bool isFlowCorrect(float u) {
-  return !cvIsNaN(u) && (fabs(u) < 1e9);
-}
-
-static float calc_rmse(Mat flow1, Mat flow2) {
-  float sum = 0;
-  int counter = 0;
-  const int rows = flow1.rows;
-  const int cols = flow1.cols;
-
-  for (int y = 0; y < rows; ++y) {
-    for (int x = 0; x < cols; ++x) {
-      Vec2f flow1_at_point = flow1.at<Vec2f>(y, x);
-      Vec2f flow2_at_point = flow2.at<Vec2f>(y, x);
-
-      float u1 = flow1_at_point[0];
-      float v1 = flow1_at_point[1];
-      float u2 = flow2_at_point[0];
-      float v2 = flow2_at_point[1];
-
-      if (isFlowCorrect(u1) && isFlowCorrect(u2) && isFlowCorrect(v1) && isFlowCorrect(v2)) {
-        sum += (u1-u2)*(u1-u2) + (v1-v2)*(v1-v2);
-        counter++;
-      }
-    }
-  }
-  return (float)sqrt(sum / (1e-9 + counter));
-}
-
-static void eval(int argc, char** argv) {
-  if (argc < 2) {
-    printf(APP_NAME "Wrong number of command line arguments for mode `eval` : %d (expected %d)\n",
-           argc, 2);
-    exit(1);
-  }
-
-  Mat flow1, flow2;
-
-  FILE* flow_file_1 = fopen(argv[0], "rb");
-  if (flow_file_1 == NULL) {
-    printf(APP_NAME "Cannot open file with first flow : %s\n", argv[0]);
-    exit(1);
-  }
-  if (!readOpticalFlowFromFile(flow_file_1, flow1)) {
-    printf(APP_NAME "Cannot read flow data from file %s\n", argv[0]);
-    exit(1);
-  }
-  fclose(flow_file_1);
-
-  FILE* flow_file_2 = fopen(argv[1], "rb");
-  if (flow_file_2 == NULL) {
-    printf(APP_NAME "Cannot open file with first flow : %s\n", argv[1]);
-    exit(1);
-  }
-  if (!readOpticalFlowFromFile(flow_file_2, flow2)) {
-    printf(APP_NAME "Cannot read flow data from file %s\n", argv[1]);
-    exit(1);
-  }
-  fclose(flow_file_2);
-
-  float rmse = calc_rmse(flow1, flow2);
-  printf("%lf\n", rmse);
-}
-
-int main(int argc, char** argv) {
-  if (argc < 2) {
-    printf(APP_NAME "Mode is not specified\n");
-    help();
-    exit(1);
-  }
-  string mode = (string)argv[1];
-  int new_argc = argc - 2;
-  char** new_argv = &argv[2];
-
-  if ("run" == mode) {
-    run(new_argc, new_argv);
-  } else if ("eval" == mode) {
-    eval(new_argc, new_argv);
-  } else if ("help" == mode)
-    help();
-  else {
-    printf(APP_NAME "Unknown mode : %s\n", argv[1]);
-    help();
-  }
-
-  return 0;
-}
diff --git a/samples/cpp/trained_classifierNM1.xml b/samples/cpp/trained_classifierNM1.xml
deleted file mode 100644
index c395a67df7..0000000000
--- a/samples/cpp/trained_classifierNM1.xml
+++ /dev/null
@@ -1,4046 +0,0 @@
-<?xml version="1.0"?>
-<opencv_storage>
-<boost type_id="opencv-ml-boost-tree">
-  <boosting_type>RealAdaboost</boosting_type>
-  <splitting_criteria>Gini</splitting_criteria>
-  <ntrees>100</ntrees>
-  <weight_trimming_rate>1.</weight_trimming_rate>
-  <is_classifier>1</is_classifier>
-  <var_all>5</var_all>
-  <var_count>4</var_count>
-  <ord_var_count>4</ord_var_count>
-  <cat_var_count>0</cat_var_count>
-  <training_params>
-    <use_surrogates>0</use_surrogates>
-    <max_categories>10</max_categories>
-    <max_depth>1</max_depth>
-    <min_sample_count>10</min_sample_count>
-    <cross_validation_folds>0</cross_validation_folds>
-    <priors type_id="opencv-matrix">
-      <rows>1</rows>
-      <cols>2</cols>
-      <dt>d</dt>
-      <data>
-        1. 1.</data></priors></training_params>
-  <var_idx type_id="opencv-matrix">
-    <rows>1</rows>
-    <cols>4</cols>
-    <dt>i</dt>
-    <data>
-      1 2 3 4</data></var_idx>
-  <var_type>
-    0 0 0 0</var_type>
-  <cat_count type_id="opencv-matrix">
-    <rows>1</rows>
-    <cols>1</cols>
-    <dt>i</dt>
-    <data>
-      2</data></cat_count>
-  <cat_map type_id="opencv-matrix">
-    <rows>1</rows>
-    <cols>2</cols>
-    <dt>i</dt>
-    <data>
-      1 2</data></cat_map>
-  <trees>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-8.7333809708193622e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>8.9537560939788818e-01</quality>
-              <le>8.5429996252059937e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>281</sample_count>
-          <value>6.7336438045685210e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1578</sample_count>
-          <value>-1.6797288877447023e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>6.8833827526759232e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>6.0157060623168945e-01</quality>
-              <le>1.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1728</sample_count>
-          <value>-2.3830233314576746e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>131</sample_count>
-          <value>1.3270520927417431e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.1546319456101495e-14</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>6.0729509592056274e-01</quality>
-              <le>1.0963299870491028e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>781</sample_count>
-          <value>2.8488485626451149e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1078</sample_count>
-          <value>-1.0290340538001230e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>8.8817841970011734e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.8338499069213867e-01</quality>
-              <le>9.5209401845932007e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1331</sample_count>
-          <value>-4.6437394337436783e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>528</sample_count>
-          <value>4.0542316486679569e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.5931700403371249e-14</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.5465269088745117e-01</quality>
-              <le>3.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>856</sample_count>
-          <value>5.0630658667623052e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1003</sample_count>
-          <value>-2.3844591468675169e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-4.0523140398818379e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.5272746086120605e-01</quality>
-              <le>5.0000000000000000e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1046</sample_count>
-          <value>-3.5086409511139033e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>813</sample_count>
-          <value>3.2363636038761090e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>3.5527136788004883e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.4958724975585938e-01</quality>
-              <le>1.6267855167388916e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1811</sample_count>
-          <value>-1.0723654593445622e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>48</sample_count>
-          <value>1.6463996332936000e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.5543122344752215e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.5254465341567993e-01</quality>
-              <le>7.4758999049663544e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>149</sample_count>
-          <value>1.0273978441887677e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1710</sample_count>
-          <value>-1.3682146780021626e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.1990408665951547e-14</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.4537707567214966e-01</quality>
-              <le>6.6345453262329102e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>455</sample_count>
-          <value>-1.0072489119231773e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1404</sample_count>
-          <value>1.1925375544044788e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-7.1054273576010523e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.2146106958389282e-01</quality>
-              <le>2.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1791</sample_count>
-          <value>-4.7305821386203636e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>68</sample_count>
-          <value>1.5160735804641536e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>3.7747582837255180e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.2081108093261719e-01</quality>
-              <le>5.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1690</sample_count>
-          <value>9.1796156088740075e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>169</sample_count>
-          <value>-4.9059916762377265e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-7.1054273576010523e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.2672868967056274e-01</quality>
-              <le>1.0963299870491028e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>781</sample_count>
-          <value>1.0385059515501381e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1078</sample_count>
-          <value>-5.7169325870124055e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.1102230246251577e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.2609002590179443e-01</quality>
-              <le>3.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>856</sample_count>
-          <value>3.2591023278276837e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1003</sample_count>
-          <value>-1.6727738809775036e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>3.5527136788004883e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.1409310102462769e-01</quality>
-              <le>7.1857005357742310e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>114</sample_count>
-          <value>6.4622038086485267e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1745</sample_count>
-          <value>-4.9566471799398701e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-7.4940054162198634e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.1351374387741089e-01</quality>
-              <le>1.4143149554729462e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1571</sample_count>
-          <value>-4.6424296372866977e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>288</sample_count>
-          <value>6.6639156578772774e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>2.6645352591003686e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.2261954545974731e-01</quality>
-              <le>1.0177600383758545e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>590</sample_count>
-          <value>1.3091283509473614e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1269</sample_count>
-          <value>-3.6264100845476954e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.2181720733642578e-01</quality>
-              <le>8.9620999991893768e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>352</sample_count>
-          <value>-2.4183425262980360e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1507</sample_count>
-          <value>1.8605210755965146e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.1102230246251554e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0836616754531860e-01</quality>
-              <le>1.0963299870491028e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>781</sample_count>
-          <value>5.1954271677409611e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1078</sample_count>
-          <value>-3.3426585985028628e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>3.7747582837255180e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0880891084671021e-01</quality>
-              <le>1.1348484754562378e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1664</sample_count>
-          <value>-7.4858358240636261e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>195</sample_count>
-          <value>2.4031047447238377e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.3322676295501896e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.1081919670104980e-01</quality>
-              <le>1.2661495208740234e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1730</sample_count>
-          <value>5.6719022662652843e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>129</sample_count>
-          <value>-4.0229379476194682e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>5.5511151231257519e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0904816389083862e-01</quality>
-              <le>2.3689103126525879e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1838</sample_count>
-          <value>-1.9140961693183144e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>21</sample_count>
-          <value>1.7878855228391193e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-9.2703622556201423e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0664407014846802e-01</quality>
-              <le>2.2119045257568359e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1836</sample_count>
-          <value>1.8191803445960011e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>23</sample_count>
-          <value>-9.2985231739132745e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.1102230246251577e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0936371088027954e-01</quality>
-              <le>1.2460045814514160e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1724</sample_count>
-          <value>-5.7918483977216939e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>135</sample_count>
-          <value>3.3577728337370422e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>2.4424906541753385e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0752711296081543e-01</quality>
-              <le>9.5505046844482422e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1341</sample_count>
-          <value>1.1992717133073164e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>518</sample_count>
-          <value>-1.2680428752841727e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-4.8849813083507124e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0749230384826660e-01</quality>
-              <le>7.8355848789215088e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>764</sample_count>
-          <value>-2.4384603502165489e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1095</sample_count>
-          <value>6.2746713049518996e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.9984014443252778e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0703763961791992e-01</quality>
-              <le>6.3535496592521667e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>59</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1800</sample_count>
-          <value>-1.4076159604991374e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>4.4512436177016777e-05</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0712978839874268e-01</quality>
-              <le>6.4906999468803406e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>61</sample_count>
-          <value>-2.8822016897573164e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1798</sample_count>
-          <value>1.4394134992880541e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.1009607315063477e-01</quality>
-              <le>6.9339498877525330e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>87</sample_count>
-          <value>1.6547355644710868e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1772</sample_count>
-          <value>-2.1726950528099288e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.1102230246251577e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.0710922479629517e-01</quality>
-              <le>7.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1823</sample_count>
-          <value>1.7568593940350565e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>36</sample_count>
-          <value>-1.1252698341588880e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.7763568394002536e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0767201185226440e-01</quality>
-              <le>8.0150999128818512e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>206</sample_count>
-          <value>2.7041738749866351e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1653</sample_count>
-          <value>-5.8184179168035623e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>3.3306690738754586e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0510478019714355e-01</quality>
-              <le>6.2720644474029541e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>374</sample_count>
-          <value>-4.5462988716181019e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1485</sample_count>
-          <value>2.3987712659202257e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-4.2188474935756130e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.0439256429672241e-01</quality>
-              <le>2.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1791</sample_count>
-          <value>-1.5635519241144060e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>68</sample_count>
-          <value>6.3562787613239691e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>6.6613381477508951e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.0438237190246582e-01</quality>
-              <le>3.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>856</sample_count>
-          <value>1.3081676957882793e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1003</sample_count>
-          <value>-6.7484142743913345e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.1102230246251554e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0724387168884277e-01</quality>
-              <le>1.1533749848604202e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>921</sample_count>
-          <value>4.0250806766256482e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>938</sample_count>
-          <value>-3.7703668263161400e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-5.8286708792821058e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0915646553039551e-01</quality>
-              <le>1.4143149554729462e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1571</sample_count>
-          <value>-3.3928131204983447e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>288</sample_count>
-          <value>6.0410410576585261e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>4.2188474935755767e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0659310817718506e-01</quality>
-              <le>1.4145749807357788e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1572</sample_count>
-          <value>2.0368450770510211e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>287</sample_count>
-          <value>-7.7093695859120004e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.3877787807814476e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0616967678070068e-01</quality>
-              <le>1.6267855167388916e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1811</sample_count>
-          <value>-2.4173163361906828e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>48</sample_count>
-          <value>5.6348494257358028e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-3.8857805861880494e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0677150487899780e-01</quality>
-              <le>1.2661495208740234e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1730</sample_count>
-          <value>4.0402378477571901e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>129</sample_count>
-          <value>-3.4888339817180891e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0588327646255493e-01</quality>
-              <le>1.0797724723815918e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1608</sample_count>
-          <value>-6.8287991647037555e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>251</sample_count>
-          <value>1.7431967242459881e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>4.6629367034256354e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0476020574569702e-01</quality>
-              <le>9.2052650451660156e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1253</sample_count>
-          <value>1.0513502662517235e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>606</sample_count>
-          <value>-9.1138849679050823e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0690639019012451e-01</quality>
-              <le>9.0829002857208252e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1219</sample_count>
-          <value>-1.4636537853223561e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>640</sample_count>
-          <value>9.5332675553986543e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>4.2188474935755767e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0534439086914062e-01</quality>
-              <le>9.2052650451660156e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1253</sample_count>
-          <value>1.1293790129864213e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>606</sample_count>
-          <value>-9.5332675553986113e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-2.1649348980190600e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0435024499893188e-01</quality>
-              <le>9.3664005398750305e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>411</sample_count>
-          <value>8.4555682036086433e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1448</sample_count>
-          <value>-1.0351006034230040e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0704753398895264e-01</quality>
-              <le>9.9698998034000397e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>544</sample_count>
-          <value>-8.5042709024257673e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1315</sample_count>
-          <value>1.6769533771522532e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0574851036071777e-01</quality>
-              <le>1.0386450588703156e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>639</sample_count>
-          <value>5.3643508899729207e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1220</sample_count>
-          <value>-2.1791341988666471e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0597953796386719e-01</quality>
-              <le>1.4143149554729462e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1571</sample_count>
-          <value>-2.3199011211312900e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>288</sample_count>
-          <value>5.7032019870719552e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0620901584625244e-01</quality>
-              <le>1.1533749848604202e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>921</sample_count>
-          <value>3.0260573388611104e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>938</sample_count>
-          <value>-4.3620446423872927e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0698792934417725e-01</quality>
-              <le>1.0789400339126587e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>742</sample_count>
-          <value>-4.7900146843168623e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1117</sample_count>
-          <value>3.0074316296999687e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0459891557693481e-01</quality>
-              <le>9.0829002857208252e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1219</sample_count>
-          <value>-1.1779072393798255e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>640</sample_count>
-          <value>7.8608870331688729e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.3322676295501861e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0399231910705566e-01</quality>
-              <le>3.3933651447296143e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>59</sample_count>
-          <value>1.3770357317310018e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1800</sample_count>
-          <value>-9.0707243801608061e-03</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-2.6090241078691246e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0383007526397705e-01</quality>
-              <le>1.0386450588703156e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>639</sample_count>
-          <value>4.0916632352681503e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1220</sample_count>
-          <value>-1.8955755646648090e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0380486249923706e-01</quality>
-              <le>9.9698998034000397e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>544</sample_count>
-          <value>-5.8888670701558621e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1315</sample_count>
-          <value>1.3009980239826119e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>2.2204460492503083e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0560057163238525e-01</quality>
-              <le>9.4531498849391937e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>431</sample_count>
-          <value>8.6647133637941770e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1428</sample_count>
-          <value>-1.3032934253469194e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.3877787807814476e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0492835044860840e-01</quality>
-              <le>8.9620999991893768e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>352</sample_count>
-          <value>-1.0506312397672390e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1507</sample_count>
-          <value>9.4441739612300818e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-9.4368957093138405e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0368678569793701e-01</quality>
-              <le>9.2722505331039429e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>392</sample_count>
-          <value>7.6022467408684444e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1467</sample_count>
-          <value>-9.7486085972466607e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>3.1086244689504288e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0421810150146484e-01</quality>
-              <le>9.9444493651390076e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>536</sample_count>
-          <value>-6.3752797298286562e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1323</sample_count>
-          <value>1.3328967944519532e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0323176383972168e-01</quality>
-              <le>1.0177600383758545e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>590</sample_count>
-          <value>4.3831310206729070e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1269</sample_count>
-          <value>-1.4864401441489694e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-8.8817841970012602e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0349098443984985e-01</quality>
-              <le>1.0789400339126587e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>742</sample_count>
-          <value>-3.4075730824220232e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1117</sample_count>
-          <value>2.0791874238488089e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-4.4408920985006281e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0392138957977295e-01</quality>
-              <le>1.0963299870491028e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>781</sample_count>
-          <value>2.6986027157566792e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1078</sample_count>
-          <value>-2.9932407189155552e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0362765789031982e-01</quality>
-              <le>2.3689103126525879e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1838</sample_count>
-          <value>-9.2384036977927863e-03</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>21</sample_count>
-          <value>1.0592165467278325e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.9984014443252857e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0543153285980225e-01</quality>
-              <le>2.2119045257568359e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1836</sample_count>
-          <value>1.5914551618823981e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>23</sample_count>
-          <value>-8.3405482949082688e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>3.5527136788004883e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0523018836975098e-01</quality>
-              <le>1.6267855167388916e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1811</sample_count>
-          <value>-1.9824411253917307e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>48</sample_count>
-          <value>5.8698394468331438e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-4.2188474935756130e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0369459390640259e-01</quality>
-              <le>1.2661495208740234e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1730</sample_count>
-          <value>2.8318382799977653e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>129</sample_count>
-          <value>-2.6718445379285333e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0479084253311157e-01</quality>
-              <le>1.2460045814514160e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1724</sample_count>
-          <value>-3.7451522137317672e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>135</sample_count>
-          <value>2.6178246916992864e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>6.6613381477509353e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0358188152313232e-01</quality>
-              <le>1.2661495208740234e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1730</sample_count>
-          <value>2.7995062956094632e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>129</sample_count>
-          <value>-2.6178246916992898e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.0313872098922729e-01</quality>
-              <le>5.0000000000000000e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1046</sample_count>
-          <value>-8.7344555737785268e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>813</sample_count>
-          <value>7.2176940461025546e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.9984014443252857e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0293076038360596e-01</quality>
-              <le>1.2460045814514160e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1724</sample_count>
-          <value>-2.8268637265518849e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>135</sample_count>
-          <value>2.1045949672703843e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>4.2188474935755767e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.0332474708557129e-01</quality>
-              <le>3.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>856</sample_count>
-          <value>1.2230679161917310e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1003</sample_count>
-          <value>-5.4692581535459049e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.9984014443252857e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0446850061416626e-01</quality>
-              <le>1.1533749848604202e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>921</sample_count>
-          <value>2.3320665865473968e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>938</sample_count>
-          <value>-4.0391049572091403e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0324887037277222e-01</quality>
-              <le>8.0150999128818512e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>206</sample_count>
-          <value>1.6178738318585617e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1653</sample_count>
-          <value>-4.0534413064780048e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0377529859542847e-01</quality>
-              <le>1.4143149554729462e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1571</sample_count>
-          <value>-1.6597530926694307e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>288</sample_count>
-          <value>4.9094014377722600e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-3.1086244689504478e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0313144922256470e-01</quality>
-              <le>4.5337548851966858e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>110</sample_count>
-          <value>-8.1199669103862704e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1749</sample_count>
-          <value>9.3381880402274662e-03</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>3.7747582837255180e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0475740432739258e-01</quality>
-              <le>4.5797997713088989e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>113</sample_count>
-          <value>6.8212891092482997e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1746</sample_count>
-          <value>-1.6049266927207175e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0308030843734741e-01</quality>
-              <le>6.4906999468803406e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>61</sample_count>
-          <value>-1.8287112564925503e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1798</sample_count>
-          <value>6.4869817401182221e-03</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>6.6613381477509353e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0292497873306274e-01</quality>
-              <le>1.4145749807357788e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1572</sample_count>
-          <value>1.1075480383243890e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>287</sample_count>
-          <value>-5.8766713493584966e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0272303819656372e-01</quality>
-              <le>1.0132449865341187e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>577</sample_count>
-          <value>-4.4462051722396978e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1282</sample_count>
-          <value>1.2318755109692310e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0431984663009644e-01</quality>
-              <le>9.4531498849391937e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>431</sample_count>
-          <value>7.5132879390893734e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1428</sample_count>
-          <value>-1.1572265040778912e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0449663400650024e-01</quality>
-              <le>8.3246499300003052e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>254</sample_count>
-          <value>-1.3886315377806810e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1605</sample_count>
-          <value>6.5272198323505989e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0269138813018799e-01</quality>
-              <le>8.0150999128818512e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>206</sample_count>
-          <value>1.4709439757444326e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1653</sample_count>
-          <value>-3.6874150180988774e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.0234586000442505e-01</quality>
-              <le>5.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1819</sample_count>
-          <value>-6.0288987564491008e-03</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>40</sample_count>
-          <value>1.0408276196291879e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.0341212749481201e-01</quality>
-              <le>4.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1810</sample_count>
-          <value>1.0137680632639267e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>49</sample_count>
-          <value>-8.1653792840371642e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.2767564783189316e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0258362293243408e-01</quality>
-              <le>9.2052650451660156e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1253</sample_count>
-          <value>7.8639624293829910e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>606</sample_count>
-          <value>-6.5938476875607277e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>2.8865798640253987e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0378650426864624e-01</quality>
-              <le>6.9388854503631592e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>533</sample_count>
-          <value>-2.7381819728273915e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1326</sample_count>
-          <value>2.8352394260546955e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.1102230246251577e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.0225412845611572e-01</quality>
-              <le>2.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1791</sample_count>
-          <value>-1.0029134530916375e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>68</sample_count>
-          <value>4.8411186971158215e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-2.2204460492503178e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0205397605895996e-01</quality>
-              <le>2.3689103126525879e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1838</sample_count>
-          <value>-6.5406523866491815e-03</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>21</sample_count>
-          <value>7.3822507765214740e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>2.8865798640253987e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0392109155654907e-01</quality>
-              <le>2.2119045257568359e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1836</sample_count>
-          <value>1.2851614092359220e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>23</sample_count>
-          <value>-7.0930664915331199e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-1.7208456881689956e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0325584411621094e-01</quality>
-              <le>1.6267855167388916e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1811</sample_count>
-          <value>-1.4416639629038558e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>48</sample_count>
-          <value>4.8685109113945280e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0334036350250244e-01</quality>
-              <le>1.4522725343704224e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1776</sample_count>
-          <value>2.1134121503482612e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>83</sample_count>
-          <value>-3.2737254080837347e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0246149301528931e-01</quality>
-              <le>9.0829002857208252e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1219</sample_count>
-          <value>-8.5346673521825803e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>640</sample_count>
-          <value>5.7886290686531831e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0454872846603394e-01</quality>
-              <le>7.8601944446563721e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>774</sample_count>
-          <value>1.8066758954429543e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1085</sample_count>
-          <value>-5.0945701357667621e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>3.1086244689504288e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0212800502777100e-01</quality>
-              <le>1.5322914123535156e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1796</sample_count>
-          <value>-1.4167158667728857e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>63</sample_count>
-          <value>3.0999551339753734e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-8.8817841970012602e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0266414880752563e-01</quality>
-              <le>1.0847599804401398e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>754</sample_count>
-          <value>2.2656461251734570e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1105</sample_count>
-          <value>-2.3970407856964623e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>8.8817841970012444e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0370788574218750e-01</quality>
-              <le>1.0789400339126587e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>742</sample_count>
-          <value>-3.1940419009583935e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1117</sample_count>
-          <value>2.3657134249111228e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0368273258209229e-01</quality>
-              <le>1.0177600383758545e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>590</sample_count>
-          <value>4.4494384607886871e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1269</sample_count>
-          <value>-1.6718599716109608e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0391924381256104e-01</quality>
-              <le>1.0132449865341187e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>577</sample_count>
-          <value>-5.2562531380568607e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1282</sample_count>
-          <value>1.5038797351826086e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-2.1649348980190600e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0355648994445801e-01</quality>
-              <le>9.2722505331039429e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>392</sample_count>
-          <value>7.2872834808621612e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1467</sample_count>
-          <value>-9.8094551697467572e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>6.6613381477509353e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0229591131210327e-01</quality>
-              <le>1.4143149554729462e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1571</sample_count>
-          <value>-1.1560090798064190e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>288</sample_count>
-          <value>4.2036013274394679e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0365710258483887e-01</quality>
-              <le>1.0963299870491028e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>781</sample_count>
-          <value>2.1235893234003624e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1078</sample_count>
-          <value>-3.5916730278930570e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>-2.2204460492503178e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0305408239364624e-01</quality>
-              <le>9.1055497527122498e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>376</sample_count>
-          <value>-7.5233897759775223e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1483</sample_count>
-          <value>8.1521687774440590e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>1859</sample_count>
-          <value>2.4424906541753385e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0231134891510010e-01</quality>
-              <le>8.8118501007556915e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>322</sample_count>
-          <value>7.4755757692778257e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1537</sample_count>
-          <value>-6.2031478956482825e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_></trees></boost>
-</opencv_storage>
diff --git a/samples/cpp/trained_classifierNM2.xml b/samples/cpp/trained_classifierNM2.xml
deleted file mode 100644
index eae66f01ab..0000000000
--- a/samples/cpp/trained_classifierNM2.xml
+++ /dev/null
@@ -1,4046 +0,0 @@
-<?xml version="1.0"?>
-<opencv_storage>
-<boost type_id="opencv-ml-boost-tree">
-  <boosting_type>RealAdaboost</boosting_type>
-  <splitting_criteria>Gini</splitting_criteria>
-  <ntrees>100</ntrees>
-  <weight_trimming_rate>1.</weight_trimming_rate>
-  <is_classifier>1</is_classifier>
-  <var_all>8</var_all>
-  <var_count>7</var_count>
-  <ord_var_count>7</ord_var_count>
-  <cat_var_count>0</cat_var_count>
-  <training_params>
-    <use_surrogates>0</use_surrogates>
-    <max_categories>10</max_categories>
-    <max_depth>1</max_depth>
-    <min_sample_count>10</min_sample_count>
-    <cross_validation_folds>0</cross_validation_folds>
-    <priors type_id="opencv-matrix">
-      <rows>1</rows>
-      <cols>2</cols>
-      <dt>d</dt>
-      <data>
-        1. 1.</data></priors></training_params>
-  <var_idx type_id="opencv-matrix">
-    <rows>1</rows>
-    <cols>7</cols>
-    <dt>i</dt>
-    <data>
-      1 2 3 4 5 6 7</data></var_idx>
-  <var_type>
-    0 0 0 0 0 0 0</var_type>
-  <cat_count type_id="opencv-matrix">
-    <rows>1</rows>
-    <cols>1</cols>
-    <dt>i</dt>
-    <data>
-      2</data></cat_count>
-  <cat_map type_id="opencv-matrix">
-    <rows>1</rows>
-    <cols>2</cols>
-    <dt>i</dt>
-    <data>
-      1 2</data></cat_map>
-  <trees>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.0078929470944956e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>8.7790262699127197e-01</quality>
-              <le>8.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2105</sample_count>
-          <value>-1.1353035616351272e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1110</sample_count>
-          <value>2.0526971992043412e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.0428103653102464e-14</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>6.9283843040466309e-01</quality>
-              <le>4.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1558</sample_count>
-          <value>-1.1814132639953403e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1657</sample_count>
-          <value>5.0475867936025332e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2259971643734884e-14</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>7.1280795335769653e-01</quality>
-              <le>1.2044999748468399e-03</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1475</sample_count>
-          <value>-7.9375129344950335e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1740</sample_count>
-          <value>7.6558743305188104e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.4424906541753385e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.9598809480667114e-01</quality>
-              <le>1.6245440244674683e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1385</sample_count>
-          <value>-5.4645841888834568e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1830</sample_count>
-          <value>4.0662339031566280e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>6.2172489379008380e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.5169683694839478e-01</quality>
-              <le>1.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2960</sample_count>
-          <value>-1.2615933276314473e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>255</sample_count>
-          <value>1.1688135468772842e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-8.4376949871512607e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.4812711477279663e-01</quality>
-              <le>5.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2891</sample_count>
-          <value>1.3088588195700304e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>324</sample_count>
-          <value>-9.4959634248367153e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.8865798640253987e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.9334284067153931e-01</quality>
-              <le>9.2769998311996460e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1964</sample_count>
-          <value>-4.5236837327316332e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1251</sample_count>
-          <value>4.7279968034956410e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-1.3322676295501896e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.6080043315887451e-01</quality>
-              <le>2.2512035369873047e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2464</sample_count>
-          <value>-2.1052010276554461e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>751</sample_count>
-          <value>6.7174941695746326e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-7.3274719625260868e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.3896796703338623e-01</quality>
-              <le>1.6267855167388916e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3041</sample_count>
-          <value>-8.1739798958620380e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>174</sample_count>
-          <value>1.8924547997011532e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>3.3306690738754586e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.3723198175430298e-01</quality>
-              <le>2.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>851</sample_count>
-          <value>-9.3661052654285037e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2364</sample_count>
-          <value>1.0184709367515142e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>1.2656542480726624e-14</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.4598015546798706e-01</quality>
-              <le>3.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1494</sample_count>
-          <value>3.5820791601148183e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1721</sample_count>
-          <value>-2.7428866405164359e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-1.3322676295501896e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.5166077613830566e-01</quality>
-              <le>2.9999999242136255e-05</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1467</sample_count>
-          <value>-3.3467424181887540e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1748</sample_count>
-          <value>3.3182965736372233e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>1.3322676295501861e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.4394942522048950e-01</quality>
-              <le>6.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1817</sample_count>
-          <value>-2.9822080188111177e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1398</sample_count>
-          <value>3.1329368107827943e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.6645352591003686e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.3358083963394165e-01</quality>
-              <le>1.3833449780941010e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2635</sample_count>
-          <value>8.0265603900023089e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>580</sample_count>
-          <value>-1.2162305066944930e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-6.4392935428259497e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.3098827600479126e-01</quality>
-              <le>1.2702149152755737e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2676</sample_count>
-          <value>1.3513810711631610e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>539</sample_count>
-          <value>-4.9909506904561546e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>3.7747582837255180e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.3376436233520508e-01</quality>
-              <le>9.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2193</sample_count>
-          <value>1.3117433044170448e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1022</sample_count>
-          <value>-5.7326180584233111e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>1.7763568394002473e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.2698892354965210e-01</quality>
-              <le>2.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3127</sample_count>
-          <value>-5.4553392906591960e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>88</sample_count>
-          <value>2.6688100460888684e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-3.0531133177191900e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.2742463350296021e-01</quality>
-              <le>1.2500000000000000e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2620</sample_count>
-          <value>-5.4904310687255702e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>595</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>1.7368061883308035e-04</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.2537131309509277e-01</quality>
-              <le>3.7997097969055176e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3184</sample_count>
-          <value>-5.4291952000757461e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>31</sample_count>
-          <value>1.6789882514261603e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>1.9984014443252778e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.3548330068588257e-01</quality>
-              <le>6.6345453262329102e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>777</sample_count>
-          <value>-9.1576813577644156e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2438</sample_count>
-          <value>9.8351123166090529e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.2158576250076294e-01</quality>
-              <le>5.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2891</sample_count>
-          <value>8.1007865418959935e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>324</sample_count>
-          <value>-5.9585687406274601e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-6.6613381477509432e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.2358013391494751e-01</quality>
-              <le>1.0659420490264893e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2457</sample_count>
-          <value>-1.3607641362335321e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>758</sample_count>
-          <value>3.6397269406151606e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>3.7747582837255180e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.2605414390563965e-01</quality>
-              <le>1.3934500217437744e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>909</sample_count>
-          <value>-4.4217410871376006e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2306</sample_count>
-          <value>1.2609161734369648e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.2353090047836304e-01</quality>
-              <le>1.2044999748468399e-03</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1475</sample_count>
-          <value>-2.0545012432588597e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1740</sample_count>
-          <value>2.3659867388791755e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-1.8318679906315118e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.2399057149887085e-01</quality>
-              <le>4.7306199073791504e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3204</sample_count>
-          <value>-4.8506775757358948e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>11</sample_count>
-          <value>2.6435685747751951e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503083e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.2452313899993896e-01</quality>
-              <le>6.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1817</sample_count>
-          <value>-2.0830922304142732e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1398</sample_count>
-          <value>2.4354914812770342e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>3.7747582837255180e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.1760864257812500e-01</quality>
-              <le>7.4752002954483032e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>270</sample_count>
-          <value>7.4056582493755241e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2945</sample_count>
-          <value>-5.6004456612259952e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.1595693826675415e-01</quality>
-              <le>5.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2891</sample_count>
-          <value>6.8929447086892887e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>324</sample_count>
-          <value>-5.0204800200277599e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-8.8262730457700718e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.1432991027832031e-01</quality>
-              <le>2.5954151153564453e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2981</sample_count>
-          <value>3.1556263241584975e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>234</sample_count>
-          <value>-1.5189501708336401e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.1588785648345947e-01</quality>
-              <le>1.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2960</sample_count>
-          <value>-6.0429432019906144e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>255</sample_count>
-          <value>5.8525011139658878e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.4424906541753385e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.2001929283142090e-01</quality>
-              <le>1.3934500217437744e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>909</sample_count>
-          <value>-4.6709016373000739e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2306</sample_count>
-          <value>9.2123924914545782e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.6645352591003686e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.1656109094619751e-01</quality>
-              <le>1.2044999748468399e-03</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1475</sample_count>
-          <value>-1.6749125053548522e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1740</sample_count>
-          <value>2.0231653132989663e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-3.7747582837255464e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.1900207996368408e-01</quality>
-              <le>3.</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1494</sample_count>
-          <value>2.5948749710951657e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1721</sample_count>
-          <value>-1.5086548637238759e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-1.3322676295501896e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.1032912731170654e-01</quality>
-              <le>1.1417410373687744e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2628</sample_count>
-          <value>-6.3461321700044010e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>587</sample_count>
-          <value>3.3830370061028520e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>1.1102230246251554e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.1085340976715088e-01</quality>
-              <le>1.3021064996719360e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>734</sample_count>
-          <value>-3.7065768373801600e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2481</sample_count>
-          <value>6.1297280870936215e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.1171976327896118e-01</quality>
-              <le>1.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2960</sample_count>
-          <value>-5.1679907432686661e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>255</sample_count>
-          <value>4.8967202182224279e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-3.3306690738754807e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.1276576519012451e-01</quality>
-              <le>1.4958450198173523e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2755</sample_count>
-          <value>7.7575074151822049e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>460</sample_count>
-          <value>-3.4258234102830631e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.0944852828979492e-01</quality>
-              <le>2.5842750072479248e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2980</sample_count>
-          <value>-2.8188779664253410e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>235</sample_count>
-          <value>8.1175021374635614e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-5.2735593669695212e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.1038962602615356e-01</quality>
-              <le>1.4510664939880371e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1007</sample_count>
-          <value>-3.3150262977164136e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2208</sample_count>
-          <value>6.5052948330937457e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>1.3322676295501861e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.1113504171371460e-01</quality>
-              <le>2.4550000671297312e-04</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1471</sample_count>
-          <value>-1.2860595713867043e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1744</sample_count>
-          <value>1.7591144586528801e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-8.8817841970012602e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.1135826110839844e-01</quality>
-              <le>1.9797500967979431e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2857</sample_count>
-          <value>4.5695890739118755e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>358</sample_count>
-          <value>-5.4593965595422900e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.8865798640253987e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.0861865282058716e-01</quality>
-              <le>4.4535398483276367e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3204</sample_count>
-          <value>-1.7238960071156845e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>11</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>5.4514379135116734e-05</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.1613724231719971e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>5.4514379101591658e-05</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-4.2188474935756130e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.8550304174423218e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-4.2188474935756130e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.1834394931793213e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2149631977081299e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2519973516464233e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3510566949844360e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3096535205841064e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.0966378450393677e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3168644905090332e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3053596019744873e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.1062115430831909e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2805336713790894e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3325423002243042e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.0798364877700806e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2765526771545410e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3239699602127075e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.0819625854492188e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2792611122131348e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3205927610397339e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.0529828071594238e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2831163406372070e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3197416067123413e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.0644149780273438e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2831127643585205e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2990629673004150e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.1229735612869263e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2957435846328735e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2827998399734497e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.1507642269134521e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3906562328338623e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-4.4408920985006281e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2384939193725586e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-4.4408920985006281e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3710451126098633e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.3055968284606934e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2085735797882080e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>3215</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>6.2932032346725464e-01</quality>
-              <le>1.3783290863037109e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3214</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_></trees></boost>
-</opencv_storage>
diff --git a/samples/cpp/trained_classifier_erGrouping.xml b/samples/cpp/trained_classifier_erGrouping.xml
deleted file mode 100644
index 2c20941984..0000000000
--- a/samples/cpp/trained_classifier_erGrouping.xml
+++ /dev/null
@@ -1,20046 +0,0 @@
-<?xml version="1.0"?>
-<opencv_storage>
-<boost type_id="opencv-ml-boost-tree">
-  <boosting_type>RealAdaboost</boosting_type>
-  <splitting_criteria>Gini</splitting_criteria>
-  <ntrees>500</ntrees>
-  <weight_trimming_rate>1.</weight_trimming_rate>
-  <is_classifier>1</is_classifier>
-  <var_all>14</var_all>
-  <var_count>13</var_count>
-  <ord_var_count>13</ord_var_count>
-  <cat_var_count>0</cat_var_count>
-  <training_params>
-    <use_surrogates>0</use_surrogates>
-    <max_categories>10</max_categories>
-    <max_depth>1</max_depth>
-    <min_sample_count>10</min_sample_count>
-    <cross_validation_folds>0</cross_validation_folds>
-    <priors type_id="opencv-matrix">
-      <rows>1</rows>
-      <cols>2</cols>
-      <dt>d</dt>
-      <data>
-        1. 1.</data></priors></training_params>
-  <var_idx type_id="opencv-matrix">
-    <rows>1</rows>
-    <cols>13</cols>
-    <dt>i</dt>
-    <data>
-      1 2 3 4 5 6 7 8 9 10 11 12 13</data></var_idx>
-  <var_type>
-    0 0 0 0 0 0 0 0 0 0 0 0 0</var_type>
-  <cat_count type_id="opencv-matrix">
-    <rows>1</rows>
-    <cols>1</cols>
-    <dt>i</dt>
-    <data>
-      2</data></cat_count>
-  <cat_map type_id="opencv-matrix">
-    <rows>1</rows>
-    <cols>2</cols>
-    <dt>i</dt>
-    <data>
-      1 2</data></cat_map>
-  <trees>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>4.9283312788368594e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>7.8683781623840332e-01</quality>
-              <le>6.9047653675079346e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2922</sample_count>
-          <value>1.6857763325385804e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1821</sample_count>
-          <value>-3.1962829546244120e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.2204460492502639e-14</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>6.7457795143127441e-01</quality>
-              <le>1.6023799896240234e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2515</sample_count>
-          <value>1.3206782471212661e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2228</sample_count>
-          <value>-4.2691437618953676e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>4.4408920985004293e-14</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>8</var>
-              <quality>5.7657080888748169e-01</quality>
-              <le>1.6375650465488434e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1474</sample_count>
-          <value>1.0082101731479634e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3269</sample_count>
-          <value>-2.0291975151863534e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.2735593669695212e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.7874917984008789e-01</quality>
-              <le>3.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1572</sample_count>
-          <value>6.6258072337754870e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3171</sample_count>
-          <value>-2.7849567684989057e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-2.8033131371785988e-14</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.7350283861160278e-01</quality>
-              <le>2.0137399435043335e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2403</sample_count>
-          <value>-2.6904319035307267e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2340</sample_count>
-          <value>6.3213741437159332e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>1.5987211554601999e-14</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>5.3986549377441406e-01</quality>
-              <le>1.8935400247573853e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3239</sample_count>
-          <value>-2.1807445008848766e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1504</sample_count>
-          <value>3.9003601258549259e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-1.6209256159527547e-14</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>7</var>
-              <quality>5.4257267713546753e-01</quality>
-              <le>1.9909399747848511e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3510</sample_count>
-          <value>-1.4642486399320545e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1233</sample_count>
-          <value>6.7101157562183900e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>1.2434497875801599e-14</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.2853012084960938e-01</quality>
-              <le>9.9499998092651367e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1885</sample_count>
-          <value>2.2777850958001311e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2858</sample_count>
-          <value>-5.8338305506186260e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>3.7747582837255180e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.3673779964447021e-01</quality>
-              <le>9.7619050741195679e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3151</sample_count>
-          <value>-3.5930648005686938e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1592</sample_count>
-          <value>2.1654027823349378e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-2.7200464103316410e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>7</var>
-              <quality>5.3578829765319824e-01</quality>
-              <le>9.2159950733184814e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1218</sample_count>
-          <value>6.4123671413103334e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3525</sample_count>
-          <value>-1.2719991722274782e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-1.1601830607333020e-14</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>8</var>
-              <quality>5.1844090223312378e-01</quality>
-              <le>1.1316300183534622e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>523</sample_count>
-          <value>1.1096767031411257e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4220</sample_count>
-          <value>-4.5908136732827669e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>1.1102230246251554e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>5.1862132549285889e-01</quality>
-              <le>1.1357150226831436e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1797</sample_count>
-          <value>-2.6090015710605080e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2946</sample_count>
-          <value>1.4702132673542537e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>1.5543122344752168e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.1400643587112427e-01</quality>
-              <le>2.9116147756576538e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3975</sample_count>
-          <value>-8.8992417491750783e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>768</sample_count>
-          <value>3.2676272240123133e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-2.1649348980190600e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.1310420036315918e-01</quality>
-              <le>1.6420200347900391e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2556</sample_count>
-          <value>-3.7663847348796514e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2187</sample_count>
-          <value>7.2973860683903505e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.7176485768195885e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.1715815067291260e-01</quality>
-              <le>4.1513149261474609e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4201</sample_count>
-          <value>1.0650192844355898e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>542</sample_count>
-          <value>-3.3547294967904301e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.8865798640253987e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>10</var>
-              <quality>5.1442718505859375e-01</quality>
-              <le>3.3584448695182800e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3773</sample_count>
-          <value>-5.3875269838492043e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>970</sample_count>
-          <value>5.9866021590419249e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>11</var>
-              <quality>5.2047514915466309e-01</quality>
-              <le>7.2563352584838867e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2907</sample_count>
-          <value>1.9519205768354500e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1836</sample_count>
-          <value>-2.1573812016026100e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0942456722259521e-01</quality>
-              <le>7.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3372</sample_count>
-          <value>8.7119641811032406e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1371</sample_count>
-          <value>-2.2040766706823176e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-1.7763568394002536e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>11</var>
-              <quality>5.0977617502212524e-01</quality>
-              <le>2.2220800399780273e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4448</sample_count>
-          <value>-3.3399807812663676e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>295</sample_count>
-          <value>6.7097467134531630e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-2.4424906541753503e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>11</var>
-              <quality>5.0756561756134033e-01</quality>
-              <le>1.6015799045562744e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>887</sample_count>
-          <value>4.6319919460984282e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3856</sample_count>
-          <value>-3.4984615268834660e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.4424906541753385e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>12</var>
-              <quality>5.0974738597869873e-01</quality>
-              <le>3.3431649208068848e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1502</sample_count>
-          <value>-3.1609833725570069e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3241</sample_count>
-          <value>6.3800083493002244e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-1.8318679906315118e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0696289539337158e-01</quality>
-              <le>1.8561398983001709e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3255</sample_count>
-          <value>-8.2400708302973011e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1488</sample_count>
-          <value>1.7103105096148030e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.0570565462112427e-01</quality>
-              <le>6.0240797698497772e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>267</sample_count>
-          <value>-3.9841144233646475e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4476</sample_count>
-          <value>3.0150891834205489e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.0760245323181152e-01</quality>
-              <le>1.1740300059318542e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1277</sample_count>
-          <value>1.3462101791484546e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3466</sample_count>
-          <value>-1.1412058806711589e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>1.7763568394002473e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>10</var>
-              <quality>5.0815576314926147e-01</quality>
-              <le>1.9874200224876404e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2673</sample_count>
-          <value>-7.2884347987806367e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2070</sample_count>
-          <value>2.2806968894448212e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-4.9960036108132074e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>8</var>
-              <quality>5.0588154792785645e-01</quality>
-              <le>7.1773901581764221e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>244</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4499</sample_count>
-          <value>-1.1763652665445799e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>3.7199596169089356e-05</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>7</var>
-              <quality>5.0559371709823608e-01</quality>
-              <le>1.3080499172210693e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2610</sample_count>
-          <value>-8.5164847124080928e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2133</sample_count>
-          <value>1.3242723306938603e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-4.9960036108132074e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.0688451528549194e-01</quality>
-              <le>2.4852949380874634e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1450</sample_count>
-          <value>4.0668167968213126e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3293</sample_count>
-          <value>-3.5718409743961593e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>1.3322676295501861e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>11</var>
-              <quality>5.0737321376800537e-01</quality>
-              <le>1.1785449981689453e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3672</sample_count>
-          <value>7.2598161777983533e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1071</sample_count>
-          <value>-2.0636167187902807e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>8</var>
-              <quality>5.0646328926086426e-01</quality>
-              <le>2.2429150342941284e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3128</sample_count>
-          <value>1.3477041265837905e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1615</sample_count>
-          <value>-9.6796664734187812e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>1.1102230246251554e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>8</var>
-              <quality>5.0777083635330200e-01</quality>
-              <le>1.6607899963855743e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1528</sample_count>
-          <value>-3.2886395737427671e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3215</sample_count>
-          <value>4.8989548978453992e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>6.6613381477509353e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.0604039430618286e-01</quality>
-              <le>9.8333351135253906e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4695</sample_count>
-          <value>-2.4308937783907102e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>48</sample_count>
-          <value>5.4540492970830234e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>1</var>
-              <quality>5.0586992502212524e-01</quality>
-              <le>1.6361099243164062e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4696</sample_count>
-          <value>1.4943835842937642e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>47</sample_count>
-          <value>-1.0599905445675459e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-1.7763568394002536e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.0557285547256470e-01</quality>
-              <le>7.3313897848129272e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4703</sample_count>
-          <value>-1.1469727167492691e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>40</sample_count>
-          <value>2.1235867315894508e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>0.</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.0533461570739746e-01</quality>
-              <le>5.4708351135253906e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4473</sample_count>
-          <value>3.6836595227669341e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>270</sample_count>
-          <value>-2.9831157365178368e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.6645352591003686e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>8</var>
-              <quality>5.0580126047134399e-01</quality>
-              <le>1.2382800132036209e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>640</sample_count>
-          <value>5.9834734339166507e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4103</sample_count>
-          <value>-2.1654984803013626e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-2.6645352591003828e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>5.0429016351699829e-01</quality>
-              <le>4.5694351196289062e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4600</sample_count>
-          <value>-1.5430618202863466e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>143</sample_count>
-          <value>6.2717046492171924e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>5.0425076484680176e-01</quality>
-              <le>4.3997800350189209e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4580</sample_count>
-          <value>1.9510845723203964e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>163</sample_count>
-          <value>-4.6702205902201765e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>10</var>
-              <quality>5.0413805246353149e-01</quality>
-              <le>8.3523400127887726e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>797</sample_count>
-          <value>-1.6144155238545738e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3946</sample_count>
-          <value>5.1754594157342182e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-2.1649348980190600e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.0415825843811035e-01</quality>
-              <le>4.0623052045702934e-03</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2135</sample_count>
-          <value>2.0856384841406828e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2608</sample_count>
-          <value>-4.0473660274366073e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-2.2204460492503136e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>5</var>
-              <quality>5.0849056243896484e-01</quality>
-              <le>7.4166649580001831e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2941</sample_count>
-          <value>-2.0653680349449580e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1802</sample_count>
-          <value>8.3578014587627689e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-3.8857805861880494e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.0404089689254761e-01</quality>
-              <le>5.8662700653076172e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4609</sample_count>
-          <value>-8.9593500573811428e-03</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>134</sample_count>
-          <value>1.4832704778307670e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.0676226615905762e-01</quality>
-              <le>5.8546447753906250e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4608</sample_count>
-          <value>1.6995436338582786e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>135</sample_count>
-          <value>-1.0871895961535247e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>4</var>
-              <quality>5.0577533245086670e-01</quality>
-              <le>2.7839550375938416e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3212</sample_count>
-          <value>-4.8487688681994802e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1531</sample_count>
-          <value>2.4308299449728027e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-1.7208456881689956e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.0401997566223145e-01</quality>
-              <le>4.0623052045702934e-03</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2135</sample_count>
-          <value>2.1566600675967990e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2608</sample_count>
-          <value>-3.7873936270897468e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.8865798640253987e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>6</var>
-              <quality>5.0536459684371948e-01</quality>
-              <le>7.5883805751800537e-02</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2691</sample_count>
-          <value>-1.4112986946799597e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2052</sample_count>
-          <value>7.6677932119837408e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-1.3322676295501896e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0511509180068970e-01</quality>
-              <le>4.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2292</sample_count>
-          <value>1.0882591107882306e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2451</sample_count>
-          <value>-9.4657726405678030e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-3.8857805861880494e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.0377565622329712e-01</quality>
-              <le>9.0912704467773438e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1767</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2976</sample_count>
-          <value>-7.5514316138306052e-03</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.3879499609967105e-05</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.0355505943298340e-01</quality>
-              <le>1.6336849212646484e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2550</sample_count>
-          <value>-2.0670790935386987e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2193</sample_count>
-          <value>3.4919206265122779e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-6.6613381477509442e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>3</var>
-              <quality>5.0379395484924316e-01</quality>
-              <le>1.4472200393676758e+01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2333</sample_count>
-          <value>3.0039120989420354e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>2410</sample_count>
-          <value>-2.6021086936442995e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>1.1102230246251554e-15</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>10</var>
-              <quality>5.0338852405548096e-01</quality>
-              <le>5.7804203033447266e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4457</sample_count>
-          <value>-6.7771837574461162e-03</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>286</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.1431148710016298e-05</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.0325667858123779e-01</quality>
-              <le>1.7895050346851349e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1565</sample_count>
-          <value>1.1778538599189300e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3178</sample_count>
-          <value>-5.5600340097294032e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-9.4368957093138405e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>7</var>
-              <quality>5.0369518995285034e-01</quality>
-              <le>1.0299949645996094e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1643</sample_count>
-          <value>1.3367635721082954e-01</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3100</sample_count>
-          <value>-5.5671793933628928e-02</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-8.3266726846886810e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>7</var>
-              <quality>5.0341546535491943e-01</quality>
-              <le>5.9431500434875488e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4548</sample_count>
-          <value>-6.8310078799520627e-03</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>195</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.1601352997458628e-05</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>0</var>
-              <quality>5.0342482328414917e-01</quality>
-              <le>3.5000000000000000e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1572</sample_count>
-          <value>-1.3410183780875257e-01</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>3171</sample_count>
-          <value>5.1442257630002285e-02</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-6.6613381477509442e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.0330686569213867e-01</quality>
-              <le>7.3027700185775757e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4698</sample_count>
-          <value>-6.6138286994767139e-03</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>45</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.0914582372540535e-05</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>6.6739338636398315e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>2.0914582365435406e-05</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>4.4408920985006242e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>2</var>
-              <quality>5.0336450338363647e-01</quality>
-              <le>7.2723901271820068e-01</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4697</sample_count>
-          <value>6.7710148391918927e-03</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>46</sample_count>
-          <value>-2.8881401865717855e+00</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-8.8817841970012602e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>1.0860064029693604e+00</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-1.1102230246251577e-15</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-3.8857805861880494e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>6.2635791301727295e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-3.8857805861880494e-16</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>7.4932706356048584e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>2.2204460492503126e-16</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>5.7564577324623896e+00</value>
-          <norm_class_idx>1</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_>
-    <_>
-      <best_tree_idx>-1</best_tree_idx>
-      <nodes>
-        <_>
-          <depth>0</depth>
-          <sample_count>4743</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error>
-          <splits>
-            <_><var>9</var>
-              <quality>8.0227351188659668e-01</quality>
-              <le>1.1104044914245605e+00</le></_></splits></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>4742</sample_count>
-          <value>-5.5511151231257827e-17</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_>
-        <_>
-          <depth>1</depth>
-          <sample_count>1</sample_count>
-          <value>.Nan</value>
-          <norm_class_idx>0</norm_class_idx>
-          <Tn>0</Tn>
-          <complexity>0</complexity>
-          <alpha>0.</alpha>
-          <node_risk>0.</node_risk>
-          <tree_risk>0.</tree_risk>
-          <tree_error>0.</tree_error></_></nodes></_></trees></boost>
-</opencv_storage>
diff --git a/samples/cpp/tutorial_code/video/bg_sub.cpp b/samples/cpp/tutorial_code/video/bg_sub.cpp
index ace8220587..1337029720 100644
--- a/samples/cpp/tutorial_code/video/bg_sub.cpp
+++ b/samples/cpp/tutorial_code/video/bg_sub.cpp
@@ -20,9 +20,7 @@ using namespace std;
 
 // Global variables
 Mat frame; //current frame
-Mat fgMaskMOG; //fg mask generated by MOG method
 Mat fgMaskMOG2; //fg mask fg mask generated by MOG2 method
-Ptr<BackgroundSubtractor> pMOG; //MOG Background subtractor
 Ptr<BackgroundSubtractor> pMOG2; //MOG2 Background subtractor
 int keyboard; //input from keyboard
 
@@ -63,11 +61,9 @@ int main(int argc, char* argv[])
 
     //create GUI windows
     namedWindow("Frame");
-    namedWindow("FG Mask MOG");
     namedWindow("FG Mask MOG 2");
 
     //create Background Subtractor objects
-    pMOG = createBackgroundSubtractorMOG(); //MOG approach
     pMOG2 = createBackgroundSubtractorMOG2(); //MOG2 approach
 
     if(strcmp(argv[1], "-vid") == 0) {
@@ -109,7 +105,6 @@ void processVideo(char* videoFilename) {
             exit(EXIT_FAILURE);
         }
         //update the background model
-        pMOG->apply(frame, fgMaskMOG);
         pMOG2->apply(frame, fgMaskMOG2);
         //get the frame number and write it on the current frame
         stringstream ss;
@@ -121,7 +116,6 @@ void processVideo(char* videoFilename) {
                 FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
         //show the current frame and the fg masks
         imshow("Frame", frame);
-        imshow("FG Mask MOG", fgMaskMOG);
         imshow("FG Mask MOG 2", fgMaskMOG2);
         //get the input from the keyboard
         keyboard = waitKey( 30 );
@@ -146,7 +140,6 @@ void processImages(char* fistFrameFilename) {
     //read input data. ESC or 'q' for quitting
     while( (char)keyboard != 'q' && (char)keyboard != 27 ){
         //update the background model
-        pMOG->apply(frame, fgMaskMOG);
         pMOG2->apply(frame, fgMaskMOG2);
         //get the frame number and write it on the current frame
         size_t index = fn.find_last_of("/");
@@ -166,7 +159,6 @@ void processImages(char* fistFrameFilename) {
                 FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
         //show the current frame and the fg masks
         imshow("Frame", frame);
-        imshow("FG Mask MOG", fgMaskMOG);
         imshow("FG Mask MOG 2", fgMaskMOG2);
         //get the input from the keyboard
         keyboard = waitKey( 30 );
diff --git a/samples/python2/motempl.py b/samples/python2/motempl.py
deleted file mode 100755
index ce9b666ed5..0000000000
--- a/samples/python2/motempl.py
+++ /dev/null
@@ -1,85 +0,0 @@
-#!/usr/bin/env python
-
-import numpy as np
-import cv2
-import video
-from common import nothing, clock, draw_str
-
-MHI_DURATION = 0.5
-DEFAULT_THRESHOLD = 32
-MAX_TIME_DELTA = 0.25
-MIN_TIME_DELTA = 0.05
-
-def draw_motion_comp(vis, (x, y, w, h), angle, color):
-    cv2.rectangle(vis, (x, y), (x+w, y+h), (0, 255, 0))
-    r = min(w/2, h/2)
-    cx, cy = x+w/2, y+h/2
-    angle = angle*np.pi/180
-    cv2.circle(vis, (cx, cy), r, color, 3)
-    cv2.line(vis, (cx, cy), (int(cx+np.cos(angle)*r), int(cy+np.sin(angle)*r)), color, 3)
-
-if __name__ == '__main__':
-    import sys
-    try:
-        video_src = sys.argv[1]
-    except:
-        video_src = 0
-
-    cv2.namedWindow('motempl')
-    visuals = ['input', 'frame_diff', 'motion_hist', 'grad_orient']
-    cv2.createTrackbar('visual', 'motempl', 2, len(visuals)-1, nothing)
-    cv2.createTrackbar('threshold', 'motempl', DEFAULT_THRESHOLD, 255, nothing)
-
-    cam = video.create_capture(video_src, fallback='synth:class=chess:bg=../cpp/lena.jpg:noise=0.01')
-    ret, frame = cam.read()
-    h, w = frame.shape[:2]
-    prev_frame = frame.copy()
-    motion_history = np.zeros((h, w), np.float32)
-    hsv = np.zeros((h, w, 3), np.uint8)
-    hsv[:,:,1] = 255
-    while True:
-        ret, frame = cam.read()
-        frame_diff = cv2.absdiff(frame, prev_frame)
-        gray_diff = cv2.cvtColor(frame_diff, cv2.COLOR_BGR2GRAY)
-        thrs = cv2.getTrackbarPos('threshold', 'motempl')
-        ret, motion_mask = cv2.threshold(gray_diff, thrs, 1, cv2.THRESH_BINARY)
-        timestamp = clock()
-        cv2.updateMotionHistory(motion_mask, motion_history, timestamp, MHI_DURATION)
-        mg_mask, mg_orient = cv2.calcMotionGradient( motion_history, MAX_TIME_DELTA, MIN_TIME_DELTA, apertureSize=5 )
-        seg_mask, seg_bounds = cv2.segmentMotion(motion_history, timestamp, MAX_TIME_DELTA)
-
-        visual_name = visuals[cv2.getTrackbarPos('visual', 'motempl')]
-        if visual_name == 'input':
-            vis = frame.copy()
-        elif visual_name == 'frame_diff':
-            vis = frame_diff.copy()
-        elif visual_name == 'motion_hist':
-            vis = np.uint8(np.clip((motion_history-(timestamp-MHI_DURATION)) / MHI_DURATION, 0, 1)*255)
-            vis = cv2.cvtColor(vis, cv2.COLOR_GRAY2BGR)
-        elif visual_name == 'grad_orient':
-            hsv[:,:,0] = mg_orient/2
-            hsv[:,:,2] = mg_mask*255
-            vis = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
-
-        for i, rect in enumerate([(0, 0, w, h)] + list(seg_bounds)):
-            x, y, rw, rh = rect
-            area = rw*rh
-            if area < 64**2:
-                continue
-            silh_roi   = motion_mask   [y:y+rh,x:x+rw]
-            orient_roi = mg_orient     [y:y+rh,x:x+rw]
-            mask_roi   = mg_mask       [y:y+rh,x:x+rw]
-            mhi_roi    = motion_history[y:y+rh,x:x+rw]
-            if cv2.norm(silh_roi, cv2.NORM_L1) < area*0.05:
-                continue
-            angle = cv2.calcGlobalOrientation(orient_roi, mask_roi, mhi_roi, timestamp, MHI_DURATION)
-            color = ((255, 0, 0), (0, 0, 255))[i == 0]
-            draw_motion_comp(vis, rect, angle, color)
-
-        draw_str(vis, (20, 20), visual_name)
-        cv2.imshow('motempl', vis)
-
-        prev_frame = frame.copy()
-        if 0xFF & cv2.waitKey(5) == 27:
-            break
-    cv2.destroyAllWindows()
diff --git a/samples/tapi/bgfg_segm.cpp b/samples/tapi/bgfg_segm.cpp
index b9facd6324..17a511cddc 100644
--- a/samples/tapi/bgfg_segm.cpp
+++ b/samples/tapi/bgfg_segm.cpp
@@ -11,15 +11,15 @@
 using namespace std;
 using namespace cv;
 
-#define M_MOG  1
 #define M_MOG2 2
+#define M_KNN  3
 
 int main(int argc, const char** argv)
 {
     CommandLineParser cmd(argc, argv,
         "{ c camera   | false       | use camera }"
         "{ f file     | 768x576.avi | input video file }"
-        "{ t type     | mog         | method's type (mog, mog2) }"
+        "{ t type     | mog2        | method's type (knn, mog2) }"
         "{ h help     | false       | print help message }"
         "{ m cpu_mode | false       | press 'm' to switch OpenCL<->CPU}");
 
@@ -41,7 +41,7 @@ int main(int argc, const char** argv)
         return EXIT_FAILURE;
     }
 
-    int m = method == "mog" ? M_MOG : M_MOG2;
+    int m = method == "mog2" ? M_MOG2 : M_KNN;
 
     VideoCapture cap;
     if (useCamera)
@@ -59,13 +59,13 @@ int main(int argc, const char** argv)
     cap >> frame;
     fgimg.create(frame.size(), frame.type());
 
-    Ptr<BackgroundSubtractorMOG> mog = createBackgroundSubtractorMOG();
+    Ptr<BackgroundSubtractorKNN> knn = createBackgroundSubtractorKNN();
     Ptr<BackgroundSubtractorMOG2> mog2 = createBackgroundSubtractorMOG2();
 
     switch (m)
     {
-    case M_MOG:
-        mog->apply(frame, fgmask, 0.01f);
+    case M_KNN:
+        knn->apply(frame, fgmask);
         break;
 
     case M_MOG2:
@@ -86,8 +86,8 @@ int main(int argc, const char** argv)
         //update the model
         switch (m)
         {
-        case M_MOG:
-            mog->apply(frame, fgmask, 0.01f);
+        case M_KNN:
+            knn->apply(frame, fgmask);
             break;
 
         case M_MOG2:

From 2b94bcffb9e47c8fb09bb193c7ac4688c5738aa2 Mon Sep 17 00:00:00 2001
From: Nick D'Ademo <nickdademo@gmail.com>
Date: Mon, 11 Aug 2014 13:30:36 +0200
Subject: [PATCH 77/92] Added get and set for additional PVAPI properties:
 DecimationHorizontal, DecimationVertical, BinningX, BinningY

---
 modules/videoio/include/opencv2/videoio.hpp   | 15 ++++++-
 .../include/opencv2/videoio/videoio_c.h       |  4 ++
 modules/videoio/src/cap_pvapi.cpp             | 45 ++++++++++++++++++-
 3 files changed, 61 insertions(+), 3 deletions(-)

diff --git a/modules/videoio/include/opencv2/videoio.hpp b/modules/videoio/include/opencv2/videoio.hpp
index 763c5bd435..a601b8eb7e 100644
--- a/modules/videoio/include/opencv2/videoio.hpp
+++ b/modules/videoio/include/opencv2/videoio.hpp
@@ -191,8 +191,12 @@ enum { CAP_PROP_GSTREAMER_QUEUE_LENGTH = 200 // default is 1
 
 
 // PVAPI
-enum { CAP_PROP_PVAPI_MULTICASTIP               = 300, // ip for anable multicast master mode. 0 for disable multicast
-       CAP_PROP_PVAPI_FRAMESTARTTRIGGERMODE     = 301  // FrameStartTriggerMode: Determines how a frame is initiated
+enum { CAP_PROP_PVAPI_MULTICASTIP           = 300, // ip for anable multicast master mode. 0 for disable multicast
+       CAP_PROP_PVAPI_FRAMESTARTTRIGGERMODE = 301, // FrameStartTriggerMode: Determines how a frame is initiated
+       CAP_PROP_PVAPI_DECIMATIONHORIZONTAL  = 302, // Horizontal sub-sampling of the image
+       CAP_PROP_PVAPI_DECIMATIONVERTICAL    = 303, // Vertical sub-sampling of the image
+       CAP_PROP_PVAPI_BINNINGX              = 304, // Horizontal binning factor
+       CAP_PROP_PVAPI_BINNINGY              = 305  // Vertical binning factor
      };
 
 // PVAPI: FrameStartTriggerMode
@@ -203,6 +207,13 @@ enum { CAP_PVAPI_FSTRIGMODE_FREERUN     = 0,    // Freerun
        CAP_PVAPI_FSTRIGMODE_SOFTWARE    = 4     // Software
      };
 
+// PVAPI: DecimationHorizontal, DecimationVertical
+enum { CAP_PVAPI_DECIMATION_OFF       = 1,    // Off
+       CAP_PVAPI_DECIMATION_2OUTOF4   = 2,    // 2 out of 4 decimation
+       CAP_PVAPI_DECIMATION_2OUTOF8   = 3,    // 2 out of 8 decimation
+       CAP_PVAPI_DECIMATION_2OUTOF16  = 5     // 2 out of 16 decimation
+     };
+
 // Properties of cameras available through XIMEA SDK interface
 enum { CAP_PROP_XI_DOWNSAMPLING  = 400, // Change image resolution by binning or skipping.
        CAP_PROP_XI_DATA_FORMAT   = 401, // Output data format.
diff --git a/modules/videoio/include/opencv2/videoio/videoio_c.h b/modules/videoio/include/opencv2/videoio/videoio_c.h
index 0b08d03d9b..13805c0a4c 100644
--- a/modules/videoio/include/opencv2/videoio/videoio_c.h
+++ b/modules/videoio/include/opencv2/videoio/videoio_c.h
@@ -218,6 +218,10 @@ enum
     // PVAPI
     CV_CAP_PROP_PVAPI_MULTICASTIP           = 300, // ip for anable multicast master mode. 0 for disable multicast
     CV_CAP_PROP_PVAPI_FRAMESTARTTRIGGERMODE = 301, // FrameStartTriggerMode: Determines how a frame is initiated
+    CV_CAP_PROP_PVAPI_DECIMATIONHORIZONTAL  = 302, // Horizontal sub-sampling of the image
+    CV_CAP_PROP_PVAPI_DECIMATIONVERTICAL    = 303, // Vertical sub-sampling of the image
+    CV_CAP_PROP_PVAPI_BINNINGX              = 304, // Horizontal binning factor
+    CV_CAP_PROP_PVAPI_BINNINGY              = 305, // Vertical binning factor
 
     // Properties of cameras available through XIMEA SDK interface
     CV_CAP_PROP_XI_DOWNSAMPLING  = 400,      // Change image resolution by binning or skipping.
diff --git a/modules/videoio/src/cap_pvapi.cpp b/modules/videoio/src/cap_pvapi.cpp
index 4b27ab1602..66b9f9f745 100644
--- a/modules/videoio/src/cap_pvapi.cpp
+++ b/modules/videoio/src/cap_pvapi.cpp
@@ -300,12 +300,26 @@ double CvCaptureCAM_PvAPI::getProperty( int property_id )
             return 4.0;
         else
             return -1.0;
+    case CV_CAP_PROP_PVAPI_DECIMATIONHORIZONTAL:
+        PvAttrUint32Get(Camera.Handle, "DecimationHorizontal", &nTemp);
+        return (double)nTemp;
+    case CV_CAP_PROP_PVAPI_DECIMATIONVERTICAL:
+        PvAttrUint32Get(Camera.Handle, "DecimationVertical", &nTemp);
+        return (double)nTemp;
+    case CV_CAP_PROP_PVAPI_BINNINGX:
+        PvAttrUint32Get(Camera.Handle,"BinningX",&nTemp);
+        return (double)nTemp;
+    case CV_CAP_PROP_PVAPI_BINNINGY:
+        PvAttrUint32Get(Camera.Handle,"BinningY",&nTemp);
+        return (double)nTemp;
     }
     return -1.0;
 }
 
 bool CvCaptureCAM_PvAPI::setProperty( int property_id, double value )
 {
+    tPvErr error;
+
     switch ( property_id )
     {
     case CV_CAP_PROP_FRAME_WIDTH:
@@ -389,7 +403,6 @@ bool CvCaptureCAM_PvAPI::setProperty( int property_id, double value )
         }
         break;
     case CV_CAP_PROP_PVAPI_FRAMESTARTTRIGGERMODE:
-        tPvErr error;
         if (value==0)
             error = PvAttrEnumSet(Camera.Handle, "FrameStartTriggerMode", "Freerun");
         else if (value==1)
@@ -406,6 +419,36 @@ bool CvCaptureCAM_PvAPI::setProperty( int property_id, double value )
             break;
         else
             return false;
+    case CV_CAP_PROP_PVAPI_DECIMATIONHORIZONTAL:
+        if (value >= 1 && value <= 8)
+            error = PvAttrUint32Set(Camera.Handle, "DecimationHorizontal", value);
+        else
+            error = ePvErrOutOfRange;
+        if(error==ePvErrSuccess)
+            break;
+        else
+            return false;
+    case CV_CAP_PROP_PVAPI_DECIMATIONVERTICAL:
+        if (value >= 1 && value <= 8)
+            error = PvAttrUint32Set(Camera.Handle, "DecimationVertical", value);
+        else
+            error = ePvErrOutOfRange;
+        if(error==ePvErrSuccess)
+            break;
+        else
+            return false;
+    case CV_CAP_PROP_PVAPI_BINNINGX:
+        error = PvAttrUint32Set(Camera.Handle, "BinningX", value);
+        if(error==ePvErrSuccess)
+            break;
+        else
+            return false;
+    case CV_CAP_PROP_PVAPI_BINNINGY:
+        error = PvAttrUint32Set(Camera.Handle, "BinningY", value);
+        if(error==ePvErrSuccess)
+            break;
+        else
+            return false;
     default:
         return false;
     }

From 6b0e63b652db2a60b6858df86cd8cc898a01c214 Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Mon, 11 Aug 2014 15:37:05 +0400
Subject: [PATCH 78/92] Enabled IPPMorphReplicate in case BORDER_CONSTANT only
 for 3x3 kernels.

---
 modules/imgproc/src/morph.cpp | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/modules/imgproc/src/morph.cpp b/modules/imgproc/src/morph.cpp
index 8985a7f06b..ceccff43a6 100644
--- a/modules/imgproc/src/morph.cpp
+++ b/modules/imgproc/src/morph.cpp
@@ -1268,10 +1268,11 @@ static bool IPPMorphOp(int op, InputArray _src, OutputArray _dst,
     int type = src.type(), depth = CV_MAT_DEPTH(type), cn = CV_MAT_CN(type);
 
     if( !( depth == CV_8U || depth == CV_32F ) || !(cn == 1 || cn == 3 || cn == 4) ||
-        !( borderType == cv::BORDER_REPLICATE || (borderType == cv::BORDER_CONSTANT && borderValue == morphologyDefaultBorderValue()) )
-        || !( op == MORPH_DILATE || op == MORPH_ERODE) || _src.isSubmatrix() )
+        !( borderType == cv::BORDER_REPLICATE || (borderType == cv::BORDER_CONSTANT && borderValue == morphologyDefaultBorderValue() &&
+        kernel.size() == Size(3,3)) ) || !( op == MORPH_DILATE || op == MORPH_ERODE) || _src.isSubmatrix() )
         return false;
 
+    // In case BORDER_CONSTANT, IPPMorphReplicate works correct with kernels of size 3*3 only
     if( borderType == cv::BORDER_CONSTANT && kernel.data )
     {
         int x, y;

From 835b5e217964f94a1075e11acfc26220a4e63525 Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Mon, 11 Aug 2014 15:40:44 +0400
Subject: [PATCH 79/92] Disabled ippiConvert_32f16s_C1R since it breaks OCL
 accuracy tests of remap with test_loop_times=30.

---
 modules/core/src/convert.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/core/src/convert.cpp b/modules/core/src/convert.cpp
index fc29b2e1f9..5b0a485881 100644
--- a/modules/core/src/convert.cpp
+++ b/modules/core/src/convert.cpp
@@ -1619,7 +1619,7 @@ DEF_CVT_FUNC_F(8u16s,  uchar, short, 8u16s_C1R)
 DEF_CVT_FUNC_F(8s16s,  schar, short, 8s16s_C1R)
 DEF_CVT_FUNC_F2(16u16s, ushort, short, 16u16s_C1RSfs)
 DEF_CVT_FUNC_F2(32s16s, int, short, 32s16s_C1RSfs)
-DEF_CVT_FUNC_F2(32f16s, float, short, 32f16s_C1RSfs)
+DEF_CVT_FUNC(32f16s, float, short)
 DEF_CVT_FUNC(64f16s, double, short)
 
 DEF_CVT_FUNC_F(8u32s,  uchar, int, 8u32s_C1R)

From 498da24b8b43412cc0beb6ac2877d7222544dc21 Mon Sep 17 00:00:00 2001
From: Alexander Karsakov <alexander.karsakov@itseez.com>
Date: Mon, 11 Aug 2014 15:46:27 +0400
Subject: [PATCH 80/92] Disabled some IPP calls of cvtColor since it breaks OCL
 accuracy tests with test_loop_times=30

---
 modules/imgproc/src/color.cpp | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/modules/imgproc/src/color.cpp b/modules/imgproc/src/color.cpp
index db5bcd35f2..71f163bbae 100644
--- a/modules/imgproc/src/color.cpp
+++ b/modules/imgproc/src/color.cpp
@@ -3381,18 +3381,16 @@ void cv::cvtColor( InputArray _src, OutputArray _dst, int code, int dcn )
             _dst.create(sz, CV_8UC2);
             dst = _dst.getMat();
 
-#ifdef HAVE_IPP
+#if defined(HAVE_IPP) && 0 // breaks OCL accuracy tests
             CV_SUPPRESS_DEPRECATED_START
-#if 0
+
             if (code == CV_BGR2BGR565 && scn == 3)
             {
                 if (CvtColorIPPLoop(src, dst, IPPGeneralFunctor((ippiGeneralFunc)ippiBGRToBGR565_8u16u_C3R)))
                     return;
                 setIppErrorStatus();
             }
-            else
-#endif
-            if (code == CV_BGRA2BGR565 && scn == 4)
+            else if (code == CV_BGRA2BGR565 && scn == 4)
             {
                 if (CvtColorIPPLoopCopy(src, dst,
                                         IPPReorderGeneralFunctor(ippiSwapChannelsC4C3RTab[depth],
@@ -3787,6 +3785,7 @@ void cv::cvtColor( InputArray _src, OutputArray _dst, int code, int dcn )
 #if defined (HAVE_IPP) && (IPP_VERSION_MAJOR >= 7)
             if( depth == CV_8U || depth == CV_16U )
             {
+#if 0 // breaks OCL accuracy tests
                 if( code == CV_BGR2HSV_FULL && scn == 3 )
                 {
                     if( CvtColorIPPLoopCopy(src, dst, IPPReorderGeneralFunctor(ippiSwapChannelsC3RTab[depth], ippiRGB2HSVTab[depth], 2, 1, 0, depth)) )
@@ -3799,15 +3798,16 @@ void cv::cvtColor( InputArray _src, OutputArray _dst, int code, int dcn )
                         return;
                     setIppErrorStatus();
                 }
-                else if( code == CV_RGB2HSV_FULL && scn == 3 && depth == CV_16U )
+                else if( code == CV_RGB2HSV_FULL && scn == 4 )
                 {
-                    if( CvtColorIPPLoopCopy(src, dst, IPPGeneralFunctor(ippiRGB2HSVTab[depth])) )
+                    if( CvtColorIPPLoop(src, dst, IPPReorderGeneralFunctor(ippiSwapChannelsC4C3RTab[depth], ippiRGB2HSVTab[depth], 0, 1, 2, depth)) )
                         return;
                     setIppErrorStatus();
-                }
-                else if( code == CV_RGB2HSV_FULL && scn == 4 )
+                } else
+#endif
+                if( code == CV_RGB2HSV_FULL && scn == 3 && depth == CV_16U )
                 {
-                    if( CvtColorIPPLoop(src, dst, IPPReorderGeneralFunctor(ippiSwapChannelsC4C3RTab[depth], ippiRGB2HSVTab[depth], 0, 1, 2, depth)) )
+                    if( CvtColorIPPLoopCopy(src, dst, IPPGeneralFunctor(ippiRGB2HSVTab[depth])) )
                         return;
                     setIppErrorStatus();
                 }

From dfe5fff2f5bd6d68eb1a912832ed1cb9004e28da Mon Sep 17 00:00:00 2001
From: vbystricky <user@user-pc.(none)>
Date: Mon, 11 Aug 2014 15:57:29 +0400
Subject: [PATCH 81/92] Restore OpenCL branch for minmaxLoc on float data

---
 modules/core/src/stat.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/core/src/stat.cpp b/modules/core/src/stat.cpp
index 20e8aa5a79..e42f8224ff 100644
--- a/modules/core/src/stat.cpp
+++ b/modules/core/src/stat.cpp
@@ -1454,7 +1454,7 @@ static bool ocl_minMaxIdx( InputArray _src, double* minVal, double* maxVal, int*
 
     CV_Assert(!haveSrc2 || _src2.type() == type);
 
-    if (depth == CV_32S || depth == CV_32F)
+    if (depth == CV_32S)
         return false;
 
     if ((depth == CV_64F || ddepth == CV_64F) && !doubleSupport)

From b73b28ab9ccf1ff30dd4e4620a6534dcb85e8906 Mon Sep 17 00:00:00 2001
From: Elena Gvozdeva <elena.gvozdeva@itseez.com>
Date: Mon, 11 Aug 2014 16:21:55 +0400
Subject: [PATCH 82/92] fix for ocl_lut

---
 modules/core/src/convert.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/core/src/convert.cpp b/modules/core/src/convert.cpp
index fc29b2e1f9..e00a58c8e5 100644
--- a/modules/core/src/convert.cpp
+++ b/modules/core/src/convert.cpp
@@ -1948,7 +1948,7 @@ static bool ocl_LUT(InputArray _src, InputArray _lut, OutputArray _dst)
     UMat src = _src.getUMat(), lut = _lut.getUMat();
     _dst.create(src.size(), CV_MAKETYPE(ddepth, dcn));
     UMat dst = _dst.getUMat();
-    int kercn = lcn == 1 ? std::min(4, ocl::predictOptimalVectorWidth(_dst)) : dcn;
+    int kercn = lcn == 1 ? std::min(4, ocl::predictOptimalVectorWidth(_src, _dst)) : dcn;
 
     ocl::Kernel k("LUT", ocl::core::lut_oclsrc,
                   format("-D dcn=%d -D lcn=%d -D srcT=%s -D dstT=%s", kercn, lcn,

From 911e1bd1e40aabac0d0bfdcb20b30fd71fb386dd Mon Sep 17 00:00:00 2001
From: Low Chin Kian <kenlck1990@gmail.com>
Date: Mon, 11 Aug 2014 21:08:37 +0800
Subject: [PATCH 83/92] Allow full range IPv4 support, up to 255.255.255.255

Signed-off-by: Low Chin Kian <kenlck1990@gmail.com>
---
 modules/videoio/src/cap_pvapi.cpp | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/videoio/src/cap_pvapi.cpp b/modules/videoio/src/cap_pvapi.cpp
index 4b27ab1602..b889e64295 100644
--- a/modules/videoio/src/cap_pvapi.cpp
+++ b/modules/videoio/src/cap_pvapi.cpp
@@ -375,7 +375,7 @@ bool CvCaptureCAM_PvAPI::setProperty( int property_id, double value )
         }
         else
         {
-            cv::String ip=cv::format("%d.%d.%d.%d", ((int)value>>24)&255, ((int)value>>16)&255, ((int)value>>8)&255, (int)value&255);
+            cv::String ip=cv::format("%d.%d.%d.%d", ((unsigned int)value>>24)&255, ((unsigned int)value>>16)&255, ((unsigned int)value>>8)&255, (unsigned int)value&255);
             if ((PvAttrEnumSet(Camera.Handle,"MulticastEnable", "On")==ePvErrSuccess) &&
                 (PvAttrStringSet(Camera.Handle, "MulticastIPAddress", ip.c_str())==ePvErrSuccess))
                 break;

From 31df47b6eaeb753a77f4d0cc3f4225c5c40682f6 Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Mon, 11 Aug 2014 23:26:39 +0400
Subject: [PATCH 84/92] moved nonfree and a part of features2d to
 opencv_contrib/xfeatures2d

---
 doc/CMakeLists.txt                            |    2 +-
 .../feature_description.rst                   |   23 +-
 .../feature_detection/feature_detection.rst   |   12 +-
 .../feature_flann_matcher.rst                 |  112 +-
 .../feature_homography/feature_homography.rst |    5 +-
 modules/core/doc/basic_structures.rst         |    6 +-
 ...on_interfaces_of_descriptor_extractors.rst |   25 -
 ...common_interfaces_of_feature_detectors.rst |  274 --
 .../features2d/include/opencv2/features2d.hpp |  614 +---
 modules/features2d/src/brief.cpp              |  184 --
 modules/features2d/src/descriptors.cpp        |  154 -
 modules/features2d/src/detectors.cpp          |  226 --
 modules/features2d/src/dynamic.cpp            |  177 --
 modules/features2d/src/evaluation.cpp         |   53 -
 modules/features2d/src/features2d_init.cpp    |   45 +-
 modules/features2d/src/freak.cpp              |  733 -----
 modules/features2d/src/generated_16.i         |   19 -
 modules/features2d/src/generated_32.i         |   35 -
 modules/features2d/src/generated_64.i         |   67 -
 modules/features2d/src/matchers.cpp           |  399 +--
 modules/features2d/src/stardetector.cpp       |  472 ---
 modules/java/generator/rst_parser.py          |    3 +-
 modules/java/generator/src/cpp/jni_part.cpp   |    7 -
 modules/nonfree/CMakeLists.txt                |    7 -
 modules/nonfree/doc/feature_detection.rst     |  250 --
 modules/nonfree/doc/nonfree.rst               |   10 -
 modules/nonfree/include/opencv2/nonfree.hpp   |   57 -
 .../nonfree/include/opencv2/nonfree/cuda.hpp  |  128 -
 .../include/opencv2/nonfree/features2d.hpp    |  154 -
 .../include/opencv2/nonfree/nonfree.hpp       |   48 -
 modules/nonfree/perf/perf_main.cpp            |   11 -
 modules/nonfree/perf/perf_precomp.hpp         |   32 -
 modules/nonfree/perf/perf_surf.cpp            |   66 -
 modules/nonfree/perf/perf_surf.cuda.cpp       |  103 -
 modules/nonfree/perf/perf_surf.ocl.cpp        |  111 -
 modules/nonfree/src/cuda/surf.cu              |  960 ------
 modules/nonfree/src/nonfree_init.cpp          |   74 -
 modules/nonfree/src/opencl/surf.cl            | 1347 ---------
 modules/nonfree/src/precomp.hpp               |   65 -
 modules/nonfree/src/sift.cpp                  |  816 ------
 modules/nonfree/src/surf.cpp                  | 1024 -------
 modules/nonfree/src/surf.cuda.cpp             |  432 ---
 modules/nonfree/src/surf.hpp                  |  118 -
 modules/nonfree/src/surf.ocl.cpp              |  459 ---
 modules/nonfree/test/test_detectors.cpp       |  314 --
 modules/nonfree/test/test_features2d.cpp      | 1224 --------
 modules/nonfree/test/test_keypoints.cpp       |  132 -
 modules/nonfree/test/test_main.cpp            |    3 -
 modules/nonfree/test/test_precomp.hpp         |   32 -
 .../test_rotation_and_scale_invariance.cpp    |  710 -----
 modules/nonfree/test/test_surf.cuda.cpp       |  198 --
 modules/nonfree/test/test_surf.ocl.cpp        |  215 --
 modules/python/common.cmake                   |    1 +
 modules/stitching/CMakeLists.txt              |    2 +-
 samples/cpp/CMakeLists.txt                    |    2 +-
 samples/cpp/bagofwords_classification.cpp     | 2611 -----------------
 samples/cpp/descriptor_extractor_matcher.cpp  |  305 --
 samples/cpp/shape_transformation.cpp          |   75 -
 .../features2D/SURF_FlannMatcher.cpp          |  102 -
 .../features2D/SURF_Homography.cpp            |  126 -
 .../features2D/SURF_descriptor.cpp            |   73 -
 .../features2D/SURF_detector.cpp              |   63 -
 samples/cpp/video_homography.cpp              |  234 --
 samples/gpu/CMakeLists.txt                    |    3 +-
 samples/tapi/CMakeLists.txt                   |    2 +-
 samples/tapi/surf_matcher.cpp                 |  225 --
 66 files changed, 141 insertions(+), 16430 deletions(-)
 delete mode 100644 modules/features2d/src/brief.cpp
 delete mode 100644 modules/features2d/src/freak.cpp
 delete mode 100644 modules/features2d/src/generated_16.i
 delete mode 100644 modules/features2d/src/generated_32.i
 delete mode 100644 modules/features2d/src/generated_64.i
 delete mode 100644 modules/features2d/src/stardetector.cpp
 delete mode 100644 modules/nonfree/CMakeLists.txt
 delete mode 100644 modules/nonfree/doc/feature_detection.rst
 delete mode 100644 modules/nonfree/doc/nonfree.rst
 delete mode 100644 modules/nonfree/include/opencv2/nonfree.hpp
 delete mode 100644 modules/nonfree/include/opencv2/nonfree/cuda.hpp
 delete mode 100644 modules/nonfree/include/opencv2/nonfree/features2d.hpp
 delete mode 100644 modules/nonfree/include/opencv2/nonfree/nonfree.hpp
 delete mode 100644 modules/nonfree/perf/perf_main.cpp
 delete mode 100644 modules/nonfree/perf/perf_precomp.hpp
 delete mode 100644 modules/nonfree/perf/perf_surf.cpp
 delete mode 100644 modules/nonfree/perf/perf_surf.cuda.cpp
 delete mode 100644 modules/nonfree/perf/perf_surf.ocl.cpp
 delete mode 100644 modules/nonfree/src/cuda/surf.cu
 delete mode 100644 modules/nonfree/src/nonfree_init.cpp
 delete mode 100644 modules/nonfree/src/opencl/surf.cl
 delete mode 100644 modules/nonfree/src/precomp.hpp
 delete mode 100644 modules/nonfree/src/sift.cpp
 delete mode 100644 modules/nonfree/src/surf.cpp
 delete mode 100644 modules/nonfree/src/surf.cuda.cpp
 delete mode 100644 modules/nonfree/src/surf.hpp
 delete mode 100644 modules/nonfree/src/surf.ocl.cpp
 delete mode 100644 modules/nonfree/test/test_detectors.cpp
 delete mode 100644 modules/nonfree/test/test_features2d.cpp
 delete mode 100644 modules/nonfree/test/test_keypoints.cpp
 delete mode 100644 modules/nonfree/test/test_main.cpp
 delete mode 100644 modules/nonfree/test/test_precomp.hpp
 delete mode 100644 modules/nonfree/test/test_rotation_and_scale_invariance.cpp
 delete mode 100644 modules/nonfree/test/test_surf.cuda.cpp
 delete mode 100644 modules/nonfree/test/test_surf.ocl.cpp
 delete mode 100644 samples/cpp/bagofwords_classification.cpp
 delete mode 100644 samples/cpp/descriptor_extractor_matcher.cpp
 delete mode 100644 samples/cpp/shape_transformation.cpp
 delete mode 100644 samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp
 delete mode 100644 samples/cpp/tutorial_code/features2D/SURF_Homography.cpp
 delete mode 100644 samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp
 delete mode 100644 samples/cpp/tutorial_code/features2D/SURF_detector.cpp
 delete mode 100644 samples/cpp/video_homography.cpp
 delete mode 100644 samples/tapi/surf_matcher.cpp

diff --git a/doc/CMakeLists.txt b/doc/CMakeLists.txt
index 957e69d00c..7dcc96f928 100644
--- a/doc/CMakeLists.txt
+++ b/doc/CMakeLists.txt
@@ -33,7 +33,7 @@ if(BUILD_DOCS AND HAVE_SPHINX)
     endif()
   endforeach()
 
-  set(FIXED_ORDER_MODULES core imgproc imgcodecs videoio highgui video calib3d features2d objdetect ml flann photo stitching nonfree contrib legacy)
+  set(FIXED_ORDER_MODULES core imgproc imgcodecs videoio highgui video calib3d features2d objdetect ml flann photo stitching)
 
   list(REMOVE_ITEM BASE_MODULES ${FIXED_ORDER_MODULES})
 
diff --git a/doc/tutorials/features2d/feature_description/feature_description.rst b/doc/tutorials/features2d/feature_description/feature_description.rst
index 967b32d716..17dee727e7 100644
--- a/doc/tutorials/features2d/feature_description/feature_description.rst
+++ b/doc/tutorials/features2d/feature_description/feature_description.rst
@@ -23,7 +23,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp>`_
+This tutorial code's is shown lines below.
 
 .. code-block:: cpp
 
@@ -32,9 +32,10 @@ This tutorial code's is shown lines below. You can also download it from `here <
    #include "opencv2/core.hpp"
    #include "opencv2/features2d.hpp"
    #include "opencv2/highgui.hpp"
-   #include "opencv2/nonfree.hpp"
+   #include "opencv2/xfeatures2d.hpp"
 
    using namespace cv;
+   using namespace cv::xfeatures2d;
 
    void readme();
 
@@ -50,25 +51,19 @@ This tutorial code's is shown lines below. You can also download it from `here <
      if( !img_1.data || !img_2.data )
       { return -1; }
 
-     //-- Step 1: Detect the keypoints using SURF Detector
+     //-- Step 1: Detect the keypoints using SURF Detector, compute the descriptors
      int minHessian = 400;
 
-     SurfFeatureDetector detector( minHessian );
+     Ptr<SURF> detector = SURF::create();
+     detector->setMinHessian(minHessian);
 
      std::vector<KeyPoint> keypoints_1, keypoints_2;
-
-     detector.detect( img_1, keypoints_1 );
-     detector.detect( img_2, keypoints_2 );
-
-     //-- Step 2: Calculate descriptors (feature vectors)
-     SurfDescriptorExtractor extractor;
-
      Mat descriptors_1, descriptors_2;
 
-     extractor.compute( img_1, keypoints_1, descriptors_1 );
-     extractor.compute( img_2, keypoints_2, descriptors_2 );
+     detector->detectAndCompute( img_1, keypoints_1, descriptors_1 );
+     detector->detectAndCompute( img_2, keypoints_2, descriptors_2 );
 
-     //-- Step 3: Matching descriptor vectors with a brute force matcher
+     //-- Step 2: Matching descriptor vectors with a brute force matcher
      BFMatcher matcher(NORM_L2);
      std::vector< DMatch > matches;
      matcher.match( descriptors_1, descriptors_2, matches );
diff --git a/doc/tutorials/features2d/feature_detection/feature_detection.rst b/doc/tutorials/features2d/feature_detection/feature_detection.rst
index 7705a13719..685a05878e 100644
--- a/doc/tutorials/features2d/feature_detection/feature_detection.rst
+++ b/doc/tutorials/features2d/feature_detection/feature_detection.rst
@@ -22,7 +22,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/projects/opencv/repository/revisions/master/raw/samples/cpp/tutorial_code/features2D/SURF_detector.cpp>`_
+This tutorial code's is shown lines below.
 
 .. code-block:: cpp
 
@@ -30,11 +30,11 @@ This tutorial code's is shown lines below. You can also download it from `here <
    #include <iostream>
    #include "opencv2/core.hpp"
    #include "opencv2/features2d.hpp"
-   #include "opencv2/nonfree/features2d.hpp"
+   #include "opencv2/xfeatures2d.hpp"
    #include "opencv2/highgui.hpp"
-   #include "opencv2/nonfree.hpp"
 
    using namespace cv;
+   using namespace cv::xfeatures2d;
 
    void readme();
 
@@ -53,12 +53,12 @@ This tutorial code's is shown lines below. You can also download it from `here <
      //-- Step 1: Detect the keypoints using SURF Detector
      int minHessian = 400;
 
-     SurfFeatureDetector detector( minHessian );
+     Ptr<SURF> detector = SURF::create( minHessian );
 
      std::vector<KeyPoint> keypoints_1, keypoints_2;
 
-     detector.detect( img_1, keypoints_1 );
-     detector.detect( img_2, keypoints_2 );
+     detector->detect( img_1, keypoints_1 );
+     detector->detect( img_2, keypoints_2 );
 
      //-- Draw keypoints
      Mat img_keypoints_1; Mat img_keypoints_2;
diff --git a/doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.rst b/doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.rst
index e4630c97ae..6be334b9d7 100644
--- a/doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.rst
+++ b/doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.rst
@@ -19,10 +19,116 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp>`_
+This tutorial code's is shown lines below.
+
+.. code-block:: cpp
+
+    /**
+     * @file SURF_FlannMatcher
+     * @brief SURF detector + descriptor + FLANN Matcher
+     * @author A. Huaman
+     */
+
+    #include <stdio.h>
+    #include <iostream>
+    #include <stdio.h>
+    #include <iostream>
+    #include "opencv2/core.hpp"
+    #include "opencv2/features2d.hpp"
+    #include "opencv2/imgcodecs.hpp"
+    #include "opencv2/highgui.hpp"
+    #include "opencv2/xfeatures2d.hpp"
+
+    using namespace std;
+    using namespace cv;
+    using namespace cv::xfeatures2d;
+
+    void readme();
+
+    /**
+     * @function main
+     * @brief Main function
+     */
+    int main( int argc, char** argv )
+    {
+      if( argc != 3 )
+      { readme(); return -1; }
+
+      Mat img_1 = imread( argv[1], IMREAD_GRAYSCALE );
+      Mat img_2 = imread( argv[2], IMREAD_GRAYSCALE );
+
+      if( !img_1.data || !img_2.data )
+      { std::cout<< " --(!) Error reading images " << std::endl; return -1; }
+
+      //-- Step 1: Detect the keypoints using SURF Detector
+      int minHessian = 400;
+
+      SurfFeatureDetector detector( minHessian );
+
+      std::vector<KeyPoint> keypoints_1, keypoints_2;
+
+      detector.detect( img_1, keypoints_1 );
+      detector.detect( img_2, keypoints_2 );
+
+      //-- Step 2: Calculate descriptors (feature vectors)
+      SurfDescriptorExtractor extractor;
+
+      Mat descriptors_1, descriptors_2;
+
+      extractor.compute( img_1, keypoints_1, descriptors_1 );
+      extractor.compute( img_2, keypoints_2, descriptors_2 );
+
+      //-- Step 3: Matching descriptor vectors using FLANN matcher
+      FlannBasedMatcher matcher;
+      std::vector< DMatch > matches;
+      matcher.match( descriptors_1, descriptors_2, matches );
+
+      double max_dist = 0; double min_dist = 100;
+
+      //-- Quick calculation of max and min distances between keypoints
+      for( int i = 0; i < descriptors_1.rows; i++ )
+      { double dist = matches[i].distance;
+        if( dist < min_dist ) min_dist = dist;
+        if( dist > max_dist ) max_dist = dist;
+      }
+
+      printf("-- Max dist : %f \n", max_dist );
+      printf("-- Min dist : %f \n", min_dist );
+
+      //-- Draw only "good" matches (i.e. whose distance is less than 2*min_dist,
+      //-- or a small arbitary value ( 0.02 ) in the event that min_dist is very
+      //-- small)
+      //-- PS.- radiusMatch can also be used here.
+      std::vector< DMatch > good_matches;
+
+      for( int i = 0; i < descriptors_1.rows; i++ )
+      { if( matches[i].distance <= max(2*min_dist, 0.02) )
+        { good_matches.push_back( matches[i]); }
+      }
+
+      //-- Draw only "good" matches
+      Mat img_matches;
+      drawMatches( img_1, keypoints_1, img_2, keypoints_2,
+                   good_matches, img_matches, Scalar::all(-1), Scalar::all(-1),
+                   vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );
+
+      //-- Show detected matches
+      imshow( "Good Matches", img_matches );
+
+      for( int i = 0; i < (int)good_matches.size(); i++ )
+      { printf( "-- Good Match [%d] Keypoint 1: %d  -- Keypoint 2: %d  \n", i, good_matches[i].queryIdx, good_matches[i].trainIdx ); }
+
+      waitKey(0);
+
+      return 0;
+    }
+
+    /**
+     * @function readme
+     */
+    void readme()
+    { std::cout << " Usage: ./SURF_FlannMatcher <img1> <img2>" << std::endl; }
 
-.. literalinclude:: ../../../../samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp
-   :language: cpp
 
 Explanation
 ============
diff --git a/doc/tutorials/features2d/feature_homography/feature_homography.rst b/doc/tutorials/features2d/feature_homography/feature_homography.rst
index 3040ed7d75..91e70c9a6a 100644
--- a/doc/tutorials/features2d/feature_homography/feature_homography.rst
+++ b/doc/tutorials/features2d/feature_homography/feature_homography.rst
@@ -20,7 +20,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/projects/opencv/repository/revisions/master/raw/samples/cpp/tutorial_code/features2D/SURF_Homography.cpp>`_
+This tutorial code's is shown lines below.
 
 .. code-block:: cpp
 
@@ -30,9 +30,10 @@ This tutorial code's is shown lines below. You can also download it from `here <
    #include "opencv2/features2d.hpp"
    #include "opencv2/highgui.hpp"
    #include "opencv2/calib3d.hpp"
-   #include "opencv2/nonfree.hpp"
+   #include "opencv2/xfeatures2d.hpp"
 
    using namespace cv;
+   using namespace cv::xfeatures2d;
 
    void readme();
 
diff --git a/modules/core/doc/basic_structures.rst b/modules/core/doc/basic_structures.rst
index d08b2d6a6c..8a759bcdd9 100644
--- a/modules/core/doc/basic_structures.rst
+++ b/modules/core/doc/basic_structures.rst
@@ -3050,13 +3050,15 @@ The class provides the following features for all derived classes:
 Here is example of SIFT use in your application via Algorithm interface: ::
 
     #include "opencv2/opencv.hpp"
-    #include "opencv2/nonfree.hpp"
+    #include "opencv2/xfeatures2d.hpp"
+    
+    using namespace cv::xfeatures2d;
 
     ...
 
     initModule_nonfree(); // to load SURF/SIFT etc.
 
-    Ptr<Feature2D> sift = Algorithm::create<Feature2D>("Feature2D.SIFT");
+    Ptr<Feature2D> sift = SIFT::create();
 
     FileStorage fs("sift_params.xml", FileStorage::READ);
     if( fs.isOpened() ) // if we have file with parameters, read them
diff --git a/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst b/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
index 4bb2ba1593..e99c672fbe 100644
--- a/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
+++ b/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
@@ -94,28 +94,3 @@ The current implementation supports the following types of a descriptor extracto
 A combined format is also supported: descriptor extractor adapter name ( ``"Opponent"`` --
 :ocv:class:`OpponentColorDescriptorExtractor` ) + descriptor extractor name (see above),
 for example: ``"OpponentSIFT"`` .
-
-
-OpponentColorDescriptorExtractor
---------------------------------
-.. ocv:class:: OpponentColorDescriptorExtractor : public DescriptorExtractor
-
-Class adapting a descriptor extractor to compute descriptors in the Opponent Color Space
-(refer to Van de Sande et al., CGIV 2008 *Color Descriptors for Object Category Recognition*).
-Input RGB image is transformed in the Opponent Color Space. Then, an unadapted descriptor extractor
-(set in the constructor) computes descriptors on each of three channels and concatenates
-them into a single color descriptor. ::
-
-    class OpponentColorDescriptorExtractor : public DescriptorExtractor
-    {
-    public:
-        OpponentColorDescriptorExtractor( const Ptr<DescriptorExtractor>& dextractor );
-
-        virtual void read( const FileNode& );
-        virtual void write( FileStorage& ) const;
-        virtual int descriptorSize() const;
-        virtual int descriptorType() const;
-        virtual int defaultNorm() const;
-    protected:
-        ...
-    };
diff --git a/modules/features2d/doc/common_interfaces_of_feature_detectors.rst b/modules/features2d/doc/common_interfaces_of_feature_detectors.rst
index 62a99073bb..4f31dc0903 100644
--- a/modules/features2d/doc/common_interfaces_of_feature_detectors.rst
+++ b/modules/features2d/doc/common_interfaces_of_feature_detectors.rst
@@ -73,8 +73,6 @@ The following detector types are supported:
 
 * ``"FAST"`` -- :ocv:class:`FastFeatureDetector`
 * ``"STAR"`` -- :ocv:class:`StarFeatureDetector`
-* ``"SIFT"`` -- :ocv:class:`SIFT` (nonfree module)
-* ``"SURF"`` -- :ocv:class:`SURF` (nonfree module)
 * ``"ORB"`` -- :ocv:class:`ORB`
 * ``"BRISK"`` -- :ocv:class:`BRISK`
 * ``"MSER"`` -- :ocv:class:`MSER`
@@ -164,55 +162,6 @@ Wrapping class for feature detection using the
         ...
     };
 
-
-StarFeatureDetector
--------------------
-.. ocv:class:: StarFeatureDetector : public FeatureDetector
-
-The class implements the keypoint detector introduced by [Agrawal08]_, synonym of ``StarDetector``.  ::
-
-    class StarFeatureDetector : public FeatureDetector
-    {
-    public:
-        StarFeatureDetector( int maxSize=16, int responseThreshold=30,
-                             int lineThresholdProjected = 10,
-                             int lineThresholdBinarized=8, int suppressNonmaxSize=5 );
-        virtual void read( const FileNode& fn );
-        virtual void write( FileStorage& fs ) const;
-    protected:
-        ...
-    };
-
-.. [Agrawal08] Agrawal, M., Konolige, K., & Blas, M. R. (2008). Censure: Center surround extremas for realtime feature detection and matching. In Computer Vision–ECCV 2008 (pp. 102-115). Springer Berlin Heidelberg.
-
-
-DenseFeatureDetector
---------------------
-.. ocv:class:: DenseFeatureDetector : public FeatureDetector
-
-Class for generation of image features which are distributed densely and regularly over the image. ::
-
-        class DenseFeatureDetector : public FeatureDetector
-        {
-        public:
-                DenseFeatureDetector( float initFeatureScale=1.f, int featureScaleLevels=1,
-                              float featureScaleMul=0.1f,
-                              int initXyStep=6, int initImgBound=0,
-                              bool varyXyStepWithScale=true,
-                              bool varyImgBoundWithScale=false );
-        protected:
-        ...
-    };
-
-The detector generates several levels (in the amount of ``featureScaleLevels``) of features. Features of each level are located in the nodes of a regular grid over the image (excluding the image boundary of given size). The level parameters (a feature scale, a node size, a size of boundary) are multiplied by ``featureScaleMul`` with level index growing depending on input flags, viz.:
-
-* Feature scale is multiplied always.
-
-* The grid node size is multiplied if ``varyXyStepWithScale`` is ``true``.
-
-* Size of image boundary is multiplied if ``varyImgBoundWithScale`` is ``true``.
-
-
 SimpleBlobDetector
 -------------------
 .. ocv:class:: SimpleBlobDetector : public FeatureDetector
@@ -277,226 +226,3 @@ This class performs several filtrations of returned blobs. You should set ``filt
 
 
 Default values of parameters are tuned to extract dark circular blobs.
-
-GridAdaptedFeatureDetector
---------------------------
-.. ocv:class:: GridAdaptedFeatureDetector : public FeatureDetector
-
-Class adapting a detector to partition the source image into a grid and detect points in each cell. ::
-
-    class GridAdaptedFeatureDetector : public FeatureDetector
-    {
-    public:
-        /*
-         * detector            Detector that will be adapted.
-         * maxTotalKeypoints   Maximum count of keypoints detected on the image.
-         *                     Only the strongest keypoints will be kept.
-         * gridRows            Grid row count.
-         * gridCols            Grid column count.
-         */
-        GridAdaptedFeatureDetector( const Ptr<FeatureDetector>& detector,
-                                    int maxTotalKeypoints, int gridRows=4,
-                                    int gridCols=4 );
-        virtual void read( const FileNode& fn );
-        virtual void write( FileStorage& fs ) const;
-    protected:
-        ...
-    };
-
-PyramidAdaptedFeatureDetector
------------------------------
-.. ocv:class:: PyramidAdaptedFeatureDetector : public FeatureDetector
-
-Class adapting a detector to detect points over multiple levels of a Gaussian pyramid. Consider using this class for detectors that are not inherently scaled. ::
-
-    class PyramidAdaptedFeatureDetector : public FeatureDetector
-    {
-    public:
-        PyramidAdaptedFeatureDetector( const Ptr<FeatureDetector>& detector,
-                                       int levels=2 );
-        virtual void read( const FileNode& fn );
-        virtual void write( FileStorage& fs ) const;
-    protected:
-        ...
-    };
-
-
-DynamicAdaptedFeatureDetector
------------------------------
-.. ocv:class:: DynamicAdaptedFeatureDetector : public FeatureDetector
-
-Adaptively adjusting detector that iteratively detects features until the desired number is found. ::
-
-       class DynamicAdaptedFeatureDetector: public FeatureDetector
-       {
-       public:
-           DynamicAdaptedFeatureDetector( const Ptr<AdjusterAdapter>& adjuster,
-               int min_features=400, int max_features=500, int max_iters=5 );
-           ...
-       };
-
-If the detector is persisted, it "remembers" the parameters
-used for the last detection. In this case, the detector may be used for consistent numbers
-of keypoints in a set of temporally related images, such as video streams or
-panorama series.
-
-``DynamicAdaptedFeatureDetector``  uses another detector, such as FAST or SURF, to do the dirty work,
-with the help of ``AdjusterAdapter`` .
-If the detected number of features is not large enough,
-``AdjusterAdapter`` adjusts the detection parameters so that the next detection
-results in a bigger or smaller number of features.  This is repeated until either the number of desired features are found
-or the parameters are maxed out.
-
-Adapters can be easily implemented for any detector via the
-``AdjusterAdapter`` interface.
-
-Beware that this is not thread-safe since the adjustment of parameters requires modification of the feature detector class instance.
-
-Example of creating ``DynamicAdaptedFeatureDetector`` : ::
-
-    //sample usage:
-    //will create a detector that attempts to find
-    //100 - 110 FAST Keypoints, and will at most run
-    //FAST feature detection 10 times until that
-    //number of keypoints are found
-    Ptr<FeatureDetector> detector(new DynamicAdaptedFeatureDetector (100, 110, 10,
-                                  new FastAdjuster(20,true)));
-
-
-DynamicAdaptedFeatureDetector::DynamicAdaptedFeatureDetector
-------------------------------------------------------------
-The constructor
-
-.. ocv:function:: DynamicAdaptedFeatureDetector::DynamicAdaptedFeatureDetector( const Ptr<AdjusterAdapter>& adjuster, int min_features=400, int max_features=500, int max_iters=5 )
-
-    :param adjuster:  :ocv:class:`AdjusterAdapter`  that detects features and adjusts parameters.
-
-    :param min_features: Minimum desired number of features.
-
-    :param max_features: Maximum desired number of features.
-
-    :param max_iters: Maximum number of times to try adjusting the feature detector parameters. For :ocv:class:`FastAdjuster` , this number can be high, but with ``Star`` or ``Surf``  many iterations can be time-consuming.  At each iteration the detector is rerun.
-
-AdjusterAdapter
----------------
-.. ocv:class:: AdjusterAdapter : public FeatureDetector
-
-Class providing an interface for adjusting parameters of a feature detector. This interface is used by :ocv:class:`DynamicAdaptedFeatureDetector` . It is a wrapper for :ocv:class:`FeatureDetector` that enables adjusting parameters after feature detection. ::
-
-     class AdjusterAdapter: public FeatureDetector
-     {
-     public:
-        virtual ~AdjusterAdapter() {}
-        virtual void tooFew(int min, int n_detected) = 0;
-        virtual void tooMany(int max, int n_detected) = 0;
-        virtual bool good() const = 0;
-        virtual Ptr<AdjusterAdapter> clone() const = 0;
-        static Ptr<AdjusterAdapter> create( const String& detectorType );
-     };
-
-
-See
-:ocv:class:`FastAdjuster`,
-:ocv:class:`StarAdjuster`, and
-:ocv:class:`SurfAdjuster` for concrete implementations.
-
-AdjusterAdapter::tooFew
----------------------------
-Adjusts the detector parameters to detect more features.
-
-.. ocv:function:: void AdjusterAdapter::tooFew(int min, int n_detected)
-
-    :param min: Minimum desired number of features.
-
-    :param n_detected: Number of features detected during the latest run.
-
-Example: ::
-
-    void FastAdjuster::tooFew(int min, int n_detected)
-    {
-            thresh_--;
-    }
-
-AdjusterAdapter::tooMany
-----------------------------
-Adjusts the detector parameters to detect less features.
-
-.. ocv:function:: void AdjusterAdapter::tooMany(int max, int n_detected)
-
-    :param max: Maximum desired number of features.
-
-    :param n_detected: Number of features detected during the latest run.
-
-Example: ::
-
-    void FastAdjuster::tooMany(int min, int n_detected)
-    {
-            thresh_++;
-    }
-
-
-AdjusterAdapter::good
----------------------
-Returns false if the detector parameters cannot be adjusted any more.
-
-.. ocv:function:: bool AdjusterAdapter::good() const
-
-Example: ::
-
-        bool FastAdjuster::good() const
-        {
-                return (thresh_ > 1) && (thresh_ < 200);
-        }
-
-AdjusterAdapter::create
------------------------
-Creates an adjuster adapter by name
-
-.. ocv:function:: Ptr<AdjusterAdapter> AdjusterAdapter::create( const String& detectorType )
-
-    Creates an adjuster adapter by name ``detectorType``. The detector name is the same as in :ocv:func:`FeatureDetector::create`, but now supports ``"FAST"``, ``"STAR"``, and ``"SURF"`` only.
-
-FastAdjuster
-------------
-.. ocv:class:: FastAdjuster : public AdjusterAdapter
-
-:ocv:class:`AdjusterAdapter` for :ocv:class:`FastFeatureDetector`. This class decreases or increases the threshold value by 1. ::
-
-        class FastAdjuster FastAdjuster: public AdjusterAdapter
-        {
-        public:
-                FastAdjuster(int init_thresh = 20, bool nonmax = true);
-                ...
-        };
-
-StarAdjuster
-------------
-.. ocv:class:: StarAdjuster : public AdjusterAdapter
-
-:ocv:class:`AdjusterAdapter` for :ocv:class:`StarFeatureDetector`. This class adjusts the ``responseThreshhold`` of ``StarFeatureDetector``.  ::
-
-        class StarAdjuster: public AdjusterAdapter
-        {
-                StarAdjuster(double initial_thresh = 30.0);
-                ...
-        };
-
-SurfAdjuster
-------------
-.. ocv:class:: SurfAdjuster : public AdjusterAdapter
-
-:ocv:class:`AdjusterAdapter` for ``SurfFeatureDetector``.  ::
-
-    class CV_EXPORTS SurfAdjuster: public AdjusterAdapter
-    {
-    public:
-        SurfAdjuster( double initial_thresh=400.f, double min_thresh=2, double max_thresh=1000 );
-
-        virtual void tooFew(int minv, int n_detected);
-        virtual void tooMany(int maxv, int n_detected);
-        virtual bool good() const;
-
-        virtual Ptr<AdjusterAdapter> clone() const;
-
-        ...
-    };
diff --git a/modules/features2d/include/opencv2/features2d.hpp b/modules/features2d/include/opencv2/features2d.hpp
index 19fb0faaaf..5e9c4c45c9 100644
--- a/modules/features2d/include/opencv2/features2d.hpp
+++ b/modules/features2d/include/opencv2/features2d.hpp
@@ -49,7 +49,7 @@
 namespace cv
 {
 
-CV_EXPORTS bool initModule_features2d();
+CV_EXPORTS bool initModule_features2d(void);
 
 // //! writes vector of keypoints to the file storage
 // CV_EXPORTS void write(FileStorage& fs, const String& name, const std::vector<KeyPoint>& keypoints);
@@ -353,107 +353,6 @@ protected:
 typedef ORB OrbFeatureDetector;
 typedef ORB OrbDescriptorExtractor;
 
-/*!
-  FREAK implementation
-*/
-class CV_EXPORTS FREAK : public DescriptorExtractor
-{
-public:
-    /** Constructor
-         * @param orientationNormalized enable orientation normalization
-         * @param scaleNormalized enable scale normalization
-         * @param patternScale scaling of the description pattern
-         * @param nbOctave number of octaves covered by the detected keypoints
-         * @param selectedPairs (optional) user defined selected pairs
-    */
-    explicit FREAK( bool orientationNormalized = true,
-           bool scaleNormalized = true,
-           float patternScale = 22.0f,
-           int nOctaves = 4,
-           const std::vector<int>& selectedPairs = std::vector<int>());
-    FREAK( const FREAK& rhs );
-    FREAK& operator=( const FREAK& );
-
-    virtual ~FREAK();
-
-    /** returns the descriptor length in bytes */
-    virtual int descriptorSize() const;
-
-    /** returns the descriptor type */
-    virtual int descriptorType() const;
-
-    /** returns the default norm type */
-    virtual int defaultNorm() const;
-
-    /** select the 512 "best description pairs"
-         * @param images grayscale images set
-         * @param keypoints set of detected keypoints
-         * @param corrThresh correlation threshold
-         * @param verbose print construction information
-         * @return list of best pair indexes
-    */
-    std::vector<int> selectPairs( const std::vector<Mat>& images, std::vector<std::vector<KeyPoint> >& keypoints,
-                      const double corrThresh = 0.7, bool verbose = true );
-
-    AlgorithmInfo* info() const;
-
-    enum
-    {
-        NB_SCALES = 64, NB_PAIRS = 512, NB_ORIENPAIRS = 45
-    };
-
-protected:
-    virtual void computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
-    void buildPattern();
-
-    template <typename imgType, typename iiType>
-    imgType meanIntensity( InputArray image, InputArray integral, const float kp_x, const float kp_y,
-                           const unsigned int scale, const unsigned int rot, const unsigned int point ) const;
-
-    template <typename srcMatType, typename iiMatType>
-    void computeDescriptors( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
-
-    template <typename srcMatType>
-    void extractDescriptor(srcMatType *pointsValue, void ** ptr) const;
-
-    bool orientationNormalized; //true if the orientation is normalized, false otherwise
-    bool scaleNormalized; //true if the scale is normalized, false otherwise
-    double patternScale; //scaling of the pattern
-    int nOctaves; //number of octaves
-    bool extAll; // true if all pairs need to be extracted for pairs selection
-
-    double patternScale0;
-    int nOctaves0;
-    std::vector<int> selectedPairs0;
-
-    struct PatternPoint
-    {
-        float x; // x coordinate relative to center
-        float y; // x coordinate relative to center
-        float sigma; // Gaussian smoothing sigma
-    };
-
-    struct DescriptionPair
-    {
-        uchar i; // index of the first point
-        uchar j; // index of the second point
-    };
-
-    struct OrientationPair
-    {
-        uchar i; // index of the first point
-        uchar j; // index of the second point
-        int weight_dx; // dx/(norm_sq))*4096
-        int weight_dy; // dy/(norm_sq))*4096
-    };
-
-    std::vector<PatternPoint> patternLookup; // look-up table for the pattern points (position+sigma of all points at all scales and orientation)
-    int patternSizes[NB_SCALES]; // size of the pattern at a specific scale (used to check if a point is within image boundaries)
-    DescriptionPair descriptionPairs[NB_PAIRS];
-    OrientationPair orientationPairs[NB_ORIENPAIRS];
-};
-
-
 /*!
  Maximal Stable Extremal Regions class.
 
@@ -493,36 +392,6 @@ protected:
 
 typedef MSER MserFeatureDetector;
 
-/*!
- The "Star" Detector.
-
- The class implements the keypoint detector introduced by K. Konolige.
-*/
-class CV_EXPORTS_W StarDetector : public FeatureDetector
-{
-public:
-    //! the full constructor
-    CV_WRAP StarDetector(int _maxSize=45, int _responseThreshold=30,
-                 int _lineThresholdProjected=10,
-                 int _lineThresholdBinarized=8,
-                 int _suppressNonmaxSize=5);
-
-    //! finds the keypoints in the image
-    CV_WRAP_AS(detect) void operator()(const Mat& image,
-                CV_OUT std::vector<KeyPoint>& keypoints) const;
-
-    AlgorithmInfo* info() const;
-
-protected:
-    void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
-
-    int maxSize;
-    int responseThreshold;
-    int lineThresholdProjected;
-    int lineThresholdBinarized;
-    int suppressNonmaxSize;
-};
-
 //! detects corners using FAST algorithm by E. Rosten
 CV_EXPORTS void FAST( InputArray image, CV_OUT std::vector<KeyPoint>& keypoints,
                       int threshold, bool nonmaxSuppression=true );
@@ -570,7 +439,6 @@ protected:
 };
 
 typedef GFTTDetector GoodFeaturesToTrackDetector;
-typedef StarDetector StarFeatureDetector;
 
 class CV_EXPORTS_W SimpleBlobDetector : public FeatureDetector
 {
@@ -624,277 +492,6 @@ protected:
 };
 
 
-class CV_EXPORTS_W DenseFeatureDetector : public FeatureDetector
-{
-public:
-    CV_WRAP explicit DenseFeatureDetector( float initFeatureScale=1.f, int featureScaleLevels=1,
-                                           float featureScaleMul=0.1f,
-                                           int initXyStep=6, int initImgBound=0,
-                                           bool varyXyStepWithScale=true,
-                                           bool varyImgBoundWithScale=false );
-    AlgorithmInfo* info() const;
-
-protected:
-    virtual void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
-
-    double initFeatureScale;
-    int featureScaleLevels;
-    double featureScaleMul;
-
-    int initXyStep;
-    int initImgBound;
-
-    bool varyXyStepWithScale;
-    bool varyImgBoundWithScale;
-};
-
-/*
- * Adapts a detector to partition the source image into a grid and detect
- * points in each cell.
- */
-class CV_EXPORTS_W GridAdaptedFeatureDetector : public FeatureDetector
-{
-public:
-    /*
-     * detector            Detector that will be adapted.
-     * maxTotalKeypoints   Maximum count of keypoints detected on the image. Only the strongest keypoints
-     *                      will be keeped.
-     * gridRows            Grid rows count.
-     * gridCols            Grid column count.
-     */
-    CV_WRAP GridAdaptedFeatureDetector( const Ptr<FeatureDetector>& detector=Ptr<FeatureDetector>(),
-                                        int maxTotalKeypoints=1000,
-                                        int gridRows=4, int gridCols=4 );
-
-    // TODO implement read/write
-    virtual bool empty() const;
-
-    AlgorithmInfo* info() const;
-
-protected:
-    virtual void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
-
-    Ptr<FeatureDetector> detector;
-    int maxTotalKeypoints;
-    int gridRows;
-    int gridCols;
-};
-
-/*
- * Adapts a detector to detect points over multiple levels of a Gaussian
- * pyramid. Useful for detectors that are not inherently scaled.
- */
-class CV_EXPORTS_W PyramidAdaptedFeatureDetector : public FeatureDetector
-{
-public:
-    // maxLevel - The 0-based index of the last pyramid layer
-    CV_WRAP PyramidAdaptedFeatureDetector( const Ptr<FeatureDetector>& detector, int maxLevel=2 );
-
-    // TODO implement read/write
-    virtual bool empty() const;
-
-protected:
-    virtual void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
-
-    Ptr<FeatureDetector> detector;
-    int maxLevel;
-};
-
-/** \brief A feature detector parameter adjuster, this is used by the DynamicAdaptedFeatureDetector
- *  and is a wrapper for FeatureDetector that allow them to be adjusted after a detection
- */
-class CV_EXPORTS AdjusterAdapter: public FeatureDetector
-{
-public:
-    /** pure virtual interface
-     */
-    virtual ~AdjusterAdapter() {}
-    /** too few features were detected so, adjust the detector params accordingly
-     * \param min the minimum number of desired features
-     * \param n_detected the number previously detected
-     */
-    virtual void tooFew(int min, int n_detected) = 0;
-    /** too many features were detected so, adjust the detector params accordingly
-     * \param max the maximum number of desired features
-     * \param n_detected the number previously detected
-     */
-    virtual void tooMany(int max, int n_detected) = 0;
-    /** are params maxed out or still valid?
-     * \return false if the parameters can't be adjusted any more
-     */
-    virtual bool good() const = 0;
-
-    virtual Ptr<AdjusterAdapter> clone() const = 0;
-
-    static Ptr<AdjusterAdapter> create( const String& detectorType );
-};
-/** \brief an adaptively adjusting detector that iteratively detects until the desired number
- * of features are detected.
- *  Beware that this is not thread safe - as the adjustment of parameters breaks the const
- *  of the detection routine...
- *  /TODO Make this const correct and thread safe
- *
- *  sample usage:
- //will create a detector that attempts to find 100 - 110 FAST Keypoints, and will at most run
- //FAST feature detection 10 times until that number of keypoints are found
- Ptr<FeatureDetector> detector(new DynamicAdaptedFeatureDetector(new FastAdjuster(20,true),100, 110, 10));
-
- */
-class CV_EXPORTS DynamicAdaptedFeatureDetector: public FeatureDetector
-{
-public:
-
-    /** \param adjuster an AdjusterAdapter that will do the detection and parameter adjustment
-     *  \param max_features the maximum desired number of features
-     *  \param max_iters the maximum number of times to try to adjust the feature detector params
-     *          for the FastAdjuster this can be high, but with Star or Surf this can get time consuming
-     *  \param min_features the minimum desired features
-     */
-    DynamicAdaptedFeatureDetector( const Ptr<AdjusterAdapter>& adjuster, int min_features=400, int max_features=500, int max_iters=5 );
-
-    virtual bool empty() const;
-
-protected:
-    virtual void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
-
-private:
-    DynamicAdaptedFeatureDetector& operator=(const DynamicAdaptedFeatureDetector&);
-    DynamicAdaptedFeatureDetector(const DynamicAdaptedFeatureDetector&);
-
-    int escape_iters_;
-    int min_features_, max_features_;
-    const Ptr<AdjusterAdapter> adjuster_;
-};
-
-/**\brief an adjust for the FAST detector. This will basically decrement or increment the
- * threshold by 1
- */
-class CV_EXPORTS FastAdjuster: public AdjusterAdapter
-{
-public:
-    /**\param init_thresh the initial threshold to start with, default = 20
-     * \param nonmax whether to use non max or not for fast feature detection
-     */
-    FastAdjuster(int init_thresh=20, bool nonmax=true, int min_thresh=1, int max_thresh=200);
-
-    virtual void tooFew(int minv, int n_detected);
-    virtual void tooMany(int maxv, int n_detected);
-    virtual bool good() const;
-
-    virtual Ptr<AdjusterAdapter> clone() const;
-
-protected:
-    virtual void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
-
-    int thresh_;
-    bool nonmax_;
-    int init_thresh_, min_thresh_, max_thresh_;
-};
-
-
-/** An adjuster for StarFeatureDetector, this one adjusts the responseThreshold for now
- * TODO find a faster way to converge the parameters for Star - use CvStarDetectorParams
- */
-class CV_EXPORTS StarAdjuster: public AdjusterAdapter
-{
-public:
-    StarAdjuster(double initial_thresh=30.0, double min_thresh=2., double max_thresh=200.);
-
-    virtual void tooFew(int minv, int n_detected);
-    virtual void tooMany(int maxv, int n_detected);
-    virtual bool good() const;
-
-    virtual Ptr<AdjusterAdapter> clone() const;
-
-protected:
-    virtual void detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
-
-    double thresh_, init_thresh_, min_thresh_, max_thresh_;
-};
-
-class CV_EXPORTS SurfAdjuster: public AdjusterAdapter
-{
-public:
-    SurfAdjuster( double initial_thresh=400.f, double min_thresh=2, double max_thresh=1000 );
-
-    virtual void tooFew(int minv, int n_detected);
-    virtual void tooMany(int maxv, int n_detected);
-    virtual bool good() const;
-
-    virtual Ptr<AdjusterAdapter> clone() const;
-
-protected:
-    virtual void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask=noArray() ) const;
-
-    double thresh_, init_thresh_, min_thresh_, max_thresh_;
-};
-
-CV_EXPORTS Mat windowedMatchingMask( const std::vector<KeyPoint>& keypoints1, const std::vector<KeyPoint>& keypoints2,
-                                     float maxDeltaX, float maxDeltaY );
-
-
-
-/*
- * OpponentColorDescriptorExtractor
- *
- * Adapts a descriptor extractor to compute descriptors in Opponent Color Space
- * (refer to van de Sande et al., CGIV 2008 "Color Descriptors for Object Category Recognition").
- * Input RGB image is transformed in Opponent Color Space. Then unadapted descriptor extractor
- * (set in constructor) computes descriptors on each of the three channel and concatenate
- * them into a single color descriptor.
- */
-class CV_EXPORTS OpponentColorDescriptorExtractor : public DescriptorExtractor
-{
-public:
-    OpponentColorDescriptorExtractor( const Ptr<DescriptorExtractor>& descriptorExtractor );
-
-    virtual void read( const FileNode& );
-    virtual void write( FileStorage& ) const;
-
-    virtual int descriptorSize() const;
-    virtual int descriptorType() const;
-    virtual int defaultNorm() const;
-
-    virtual bool empty() const;
-
-protected:
-    virtual void computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
-
-    Ptr<DescriptorExtractor> descriptorExtractor;
-};
-
-/*
- * BRIEF Descriptor
- */
-class CV_EXPORTS BriefDescriptorExtractor : public DescriptorExtractor
-{
-public:
-    static const int PATCH_SIZE = 48;
-    static const int KERNEL_SIZE = 9;
-
-    // bytes is a length of descriptor in bytes. It can be equal 16, 32 or 64 bytes.
-    BriefDescriptorExtractor( int bytes = 32 );
-
-    virtual void read( const FileNode& );
-    virtual void write( FileStorage& ) const;
-
-    virtual int descriptorSize() const;
-    virtual int descriptorType() const;
-    virtual int defaultNorm() const;
-
-    /// @todo read and write for brief
-
-    AlgorithmInfo* info() const;
-
-protected:
-    virtual void computeImpl(InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors) const;
-
-    typedef void(*PixelTestFn)(InputArray, const std::vector<KeyPoint>&, OutputArray);
-
-    int bytes_;
-    PixelTestFn test_fn_;
-};
-
 // KAZE/AKAZE diffusivity
 enum {
     DIFF_PM_G1 = 0,
@@ -1293,208 +890,6 @@ protected:
     int addedDescCount;
 };
 
-/****************************************************************************************\
-*                                GenericDescriptorMatcher                                *
-\****************************************************************************************/
-/*
- *   Abstract interface for a keypoint descriptor and matcher
- */
-class GenericDescriptorMatcher;
-typedef GenericDescriptorMatcher GenericDescriptorMatch;
-
-class CV_EXPORTS GenericDescriptorMatcher
-{
-public:
-    GenericDescriptorMatcher();
-    virtual ~GenericDescriptorMatcher();
-
-    /*
-     * Add train collection: images and keypoints from them.
-     * images       A set of train images.
-     * ketpoints    Keypoint collection that have been detected on train images.
-     *
-     * Keypoints for which a descriptor cannot be computed are removed. Such keypoints
-     * must be filtered in this method befor adding keypoints to train collection "trainPointCollection".
-     * If inheritor class need perform such prefiltering the method add() must be overloaded.
-     * In the other class methods programmer has access to the train keypoints by a constant link.
-     */
-    virtual void add( InputArrayOfArrays images,
-                      std::vector<std::vector<KeyPoint> >& keypoints );
-
-    const std::vector<Mat>& getTrainImages() const;
-    const std::vector<std::vector<KeyPoint> >& getTrainKeypoints() const;
-
-    /*
-     * Clear images and keypoints storing in train collection.
-     */
-    virtual void clear();
-    /*
-     * Returns true if matcher supports mask to match descriptors.
-     */
-    virtual bool isMaskSupported() = 0;
-    /*
-     * Train some inner structures (e.g. flann index or decision trees).
-     * train() methods is run every time in matching methods. So the method implementation
-     * should has a check whether these inner structures need be trained/retrained or not.
-     */
-    virtual void train();
-
-    /*
-     * Classifies query keypoints.
-     * queryImage    The query image
-     * queryKeypoints   Keypoints from the query image
-     * trainImage    The train image
-     * trainKeypoints   Keypoints from the train image
-     */
-    // Classify keypoints from query image under one train image.
-    void classify( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                           InputArray trainImage, std::vector<KeyPoint>& trainKeypoints ) const;
-    // Classify keypoints from query image under train image collection.
-    void classify( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints );
-
-    /*
-     * Group of methods to match keypoints from image pair.
-     * Keypoints for which a descriptor cannot be computed are removed.
-     * train() method is called here.
-     */
-    // Find one best match for each query descriptor (if mask is empty).
-    void match( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                InputArray trainImage, std::vector<KeyPoint>& trainKeypoints,
-                std::vector<DMatch>& matches, InputArray mask=noArray() ) const;
-    // Find k best matches for each query keypoint (in increasing order of distances).
-    // compactResult is used when mask is not empty. If compactResult is false matches
-    // vector will have the same size as queryDescriptors rows.
-    // If compactResult is true matches vector will not contain matches for fully masked out query descriptors.
-    void knnMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                   InputArray trainImage, std::vector<KeyPoint>& trainKeypoints,
-                   std::vector<std::vector<DMatch> >& matches, int k,
-                   InputArray mask=noArray(), bool compactResult=false ) const;
-    // Find best matches for each query descriptor which have distance less than maxDistance (in increasing order of distances).
-    void radiusMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                      InputArray trainImage, std::vector<KeyPoint>& trainKeypoints,
-                      std::vector<std::vector<DMatch> >& matches, float maxDistance,
-                      InputArray mask=noArray(), bool compactResult=false ) const;
-    /*
-     * Group of methods to match keypoints from one image to image set.
-     * See description of similar methods for matching image pair above.
-     */
-    void match( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                std::vector<DMatch>& matches, InputArrayOfArrays masks=noArray() );
-    void knnMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                   std::vector<std::vector<DMatch> >& matches, int k,
-                   InputArrayOfArrays masks=noArray(), bool compactResult=false );
-    void radiusMatch(InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                      std::vector<std::vector<DMatch> >& matches, float maxDistance,
-                      InputArrayOfArrays masks=noArray(), bool compactResult=false );
-
-    // Reads matcher object from a file node
-    virtual void read( const FileNode& fn );
-    // Writes matcher object to a file storage
-    virtual void write( FileStorage& fs ) const;
-
-    // Return true if matching object is empty (e.g. feature detector or descriptor matcher are empty)
-    virtual bool empty() const;
-
-    // Clone the matcher. If emptyTrainData is false the method create deep copy of the object, i.e. copies
-    // both parameters and train data. If emptyTrainData is true the method create object copy with current parameters
-    // but with empty train data.
-    virtual Ptr<GenericDescriptorMatcher> clone( bool emptyTrainData=false ) const = 0;
-
-    static Ptr<GenericDescriptorMatcher> create( const String& genericDescritptorMatcherType,
-                                                 const String &paramsFilename=String() );
-
-protected:
-    // In fact the matching is implemented only by the following two methods. These methods suppose
-    // that the class object has been trained already. Public match methods call these methods
-    // after calling train().
-    virtual void knnMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                               std::vector<std::vector<DMatch> >& matches, int k,
-                               InputArrayOfArrays masks, bool compactResult ) = 0;
-    virtual void radiusMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                  std::vector<std::vector<DMatch> >& matches, float maxDistance,
-                                  InputArrayOfArrays masks, bool compactResult ) = 0;
-    /*
-     * A storage for sets of keypoints together with corresponding images and class IDs
-     */
-    class CV_EXPORTS KeyPointCollection
-    {
-    public:
-        KeyPointCollection();
-        KeyPointCollection( const KeyPointCollection& collection );
-        void add( const std::vector<Mat>& images, const std::vector<std::vector<KeyPoint> >& keypoints );
-        void clear();
-
-        // Returns the total number of keypoints in the collection
-        size_t keypointCount() const;
-        size_t imageCount() const;
-
-        const std::vector<std::vector<KeyPoint> >& getKeypoints() const;
-        const std::vector<KeyPoint>& getKeypoints( int imgIdx ) const;
-        const KeyPoint& getKeyPoint( int imgIdx, int localPointIdx ) const;
-        const KeyPoint& getKeyPoint( int globalPointIdx ) const;
-        void getLocalIdx( int globalPointIdx, int& imgIdx, int& localPointIdx ) const;
-
-        const std::vector<Mat>& getImages() const;
-        const Mat& getImage( int imgIdx ) const;
-
-    protected:
-        int pointCount;
-
-        std::vector<Mat> images;
-        std::vector<std::vector<KeyPoint> > keypoints;
-        // global indices of the first points in each image, startIndices.size() = keypoints.size()
-        std::vector<int> startIndices;
-
-    private:
-        static Mat clone_op( Mat m ) { return m.clone(); }
-    };
-
-    KeyPointCollection trainPointCollection;
-};
-
-
-/****************************************************************************************\
-*                                VectorDescriptorMatcher                                 *
-\****************************************************************************************/
-
-/*
- *  A class used for matching descriptors that can be described as vectors in a finite-dimensional space
- */
-class VectorDescriptorMatcher;
-typedef VectorDescriptorMatcher VectorDescriptorMatch;
-
-class CV_EXPORTS VectorDescriptorMatcher : public GenericDescriptorMatcher
-{
-public:
-    VectorDescriptorMatcher( const Ptr<DescriptorExtractor>& extractor, const Ptr<DescriptorMatcher>& matcher );
-    virtual ~VectorDescriptorMatcher();
-
-    virtual void add( InputArrayOfArrays imgCollection,
-                      std::vector<std::vector<KeyPoint> >& pointCollection );
-
-    virtual void clear();
-
-    virtual void train();
-
-    virtual bool isMaskSupported();
-
-    virtual void read( const FileNode& fn );
-    virtual void write( FileStorage& fs ) const;
-    virtual bool empty() const;
-
-    virtual Ptr<GenericDescriptorMatcher> clone( bool emptyTrainData=false ) const;
-
-protected:
-    virtual void knnMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                               std::vector<std::vector<DMatch> >& matches, int k,
-                               InputArrayOfArrays masks, bool compactResult );
-    virtual void radiusMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                  std::vector<std::vector<DMatch> >& matches, float maxDistance,
-                                  InputArrayOfArrays masks, bool compactResult );
-
-    Ptr<DescriptorExtractor> extractor;
-    Ptr<DescriptorMatcher> matcher;
-};
 
 /****************************************************************************************\
 *                                   Drawing functions                                    *
@@ -1547,13 +942,6 @@ CV_EXPORTS void computeRecallPrecisionCurve( const std::vector<std::vector<DMatc
 CV_EXPORTS float getRecall( const std::vector<Point2f>& recallPrecisionCurve, float l_precision );
 CV_EXPORTS int getNearestPoint( const std::vector<Point2f>& recallPrecisionCurve, float l_precision );
 
-CV_EXPORTS void evaluateGenericDescriptorMatcher( const Mat& img1, const Mat& img2, const Mat& H1to2,
-                                                  std::vector<KeyPoint>& keypoints1, std::vector<KeyPoint>& keypoints2,
-                                                  std::vector<std::vector<DMatch> >* matches1to2, std::vector<std::vector<uchar> >* correctMatches1to2Mask,
-                                                  std::vector<Point2f>& recallPrecisionCurve,
-                                                  const Ptr<GenericDescriptorMatcher>& dmatch=Ptr<GenericDescriptorMatcher>() );
-
-
 /****************************************************************************************\
 *                                     Bag of visual words                                *
 \****************************************************************************************/
diff --git a/modules/features2d/src/brief.cpp b/modules/features2d/src/brief.cpp
deleted file mode 100644
index 0226ffb1e5..0000000000
--- a/modules/features2d/src/brief.cpp
+++ /dev/null
@@ -1,184 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009-2010, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "precomp.hpp"
-#include <algorithm>
-#include <vector>
-
-#include <iostream>
-#include <iomanip>
-
-using namespace cv;
-
-inline int smoothedSum(const Mat& sum, const KeyPoint& pt, int y, int x)
-{
-    static const int HALF_KERNEL = BriefDescriptorExtractor::KERNEL_SIZE / 2;
-
-    int img_y = (int)(pt.pt.y + 0.5) + y;
-    int img_x = (int)(pt.pt.x + 0.5) + x;
-    return   sum.at<int>(img_y + HALF_KERNEL + 1, img_x + HALF_KERNEL + 1)
-           - sum.at<int>(img_y + HALF_KERNEL + 1, img_x - HALF_KERNEL)
-           - sum.at<int>(img_y - HALF_KERNEL, img_x + HALF_KERNEL + 1)
-           + sum.at<int>(img_y - HALF_KERNEL, img_x - HALF_KERNEL);
-}
-
-static void pixelTests16(InputArray _sum, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors)
-{
-    Mat sum = _sum.getMat(), descriptors = _descriptors.getMat();
-    for (int i = 0; i < (int)keypoints.size(); ++i)
-    {
-        uchar* desc = descriptors.ptr(i);
-        const KeyPoint& pt = keypoints[i];
-#include "generated_16.i"
-    }
-}
-
-static void pixelTests32(InputArray _sum, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors)
-{
-    Mat sum = _sum.getMat(), descriptors = _descriptors.getMat();
-    for (int i = 0; i < (int)keypoints.size(); ++i)
-    {
-        uchar* desc = descriptors.ptr(i);
-        const KeyPoint& pt = keypoints[i];
-
-#include "generated_32.i"
-    }
-}
-
-static void pixelTests64(InputArray _sum, const std::vector<KeyPoint>& keypoints, OutputArray _descriptors)
-{
-    Mat sum = _sum.getMat(), descriptors = _descriptors.getMat();
-    for (int i = 0; i < (int)keypoints.size(); ++i)
-    {
-        uchar* desc = descriptors.ptr(i);
-        const KeyPoint& pt = keypoints[i];
-
-#include "generated_64.i"
-    }
-}
-
-namespace cv
-{
-
-BriefDescriptorExtractor::BriefDescriptorExtractor(int bytes) :
-    bytes_(bytes), test_fn_(NULL)
-{
-    switch (bytes)
-    {
-        case 16:
-            test_fn_ = pixelTests16;
-            break;
-        case 32:
-            test_fn_ = pixelTests32;
-            break;
-        case 64:
-            test_fn_ = pixelTests64;
-            break;
-        default:
-            CV_Error(Error::StsBadArg, "bytes must be 16, 32, or 64");
-    }
-}
-
-int BriefDescriptorExtractor::descriptorSize() const
-{
-    return bytes_;
-}
-
-int BriefDescriptorExtractor::descriptorType() const
-{
-    return CV_8UC1;
-}
-
-int BriefDescriptorExtractor::defaultNorm() const
-{
-    return NORM_HAMMING;
-}
-
-void BriefDescriptorExtractor::read( const FileNode& fn)
-{
-    int dSize = fn["descriptorSize"];
-    switch (dSize)
-    {
-        case 16:
-            test_fn_ = pixelTests16;
-            break;
-        case 32:
-            test_fn_ = pixelTests32;
-            break;
-        case 64:
-            test_fn_ = pixelTests64;
-            break;
-        default:
-            CV_Error(Error::StsBadArg, "descriptorSize must be 16, 32, or 64");
-    }
-    bytes_ = dSize;
-}
-
-void BriefDescriptorExtractor::write( FileStorage& fs) const
-{
-    fs << "descriptorSize" << bytes_;
-}
-
-void BriefDescriptorExtractor::computeImpl(InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors) const
-{
-    // Construct integral image for fast smoothing (box filter)
-    Mat sum;
-
-    Mat grayImage = image.getMat();
-    if( image.type() != CV_8U ) cvtColor( image, grayImage, COLOR_BGR2GRAY );
-
-    ///TODO allow the user to pass in a precomputed integral image
-    //if(image.type() == CV_32S)
-    //  sum = image;
-    //else
-
-    integral( grayImage, sum, CV_32S);
-
-    //Remove keypoints very close to the border
-    KeyPointsFilter::runByImageBorder(keypoints, image.size(), PATCH_SIZE/2 + KERNEL_SIZE/2);
-
-    descriptors.create((int)keypoints.size(), bytes_, CV_8U);
-    descriptors.setTo(Scalar::all(0));
-    test_fn_(sum, keypoints, descriptors);
-}
-
-} // namespace cv
diff --git a/modules/features2d/src/descriptors.cpp b/modules/features2d/src/descriptors.cpp
index c453190624..23d9fbbc9b 100644
--- a/modules/features2d/src/descriptors.cpp
+++ b/modules/features2d/src/descriptors.cpp
@@ -98,13 +98,6 @@ void DescriptorExtractor::removeBorderKeypoints( std::vector<KeyPoint>& keypoint
 
 Ptr<DescriptorExtractor> DescriptorExtractor::create(const String& descriptorExtractorType)
 {
-    if( descriptorExtractorType.find("Opponent") == 0 )
-    {
-        size_t pos = String("Opponent").size();
-        String type = descriptorExtractorType.substr(pos);
-        return makePtr<OpponentColorDescriptorExtractor>(DescriptorExtractor::create(type));
-    }
-
     return Algorithm::create<DescriptorExtractor>("Feature2D." + descriptorExtractorType);
 }
 
@@ -114,151 +107,4 @@ CV_WRAP void Feature2D::compute( InputArray image, CV_OUT CV_IN_OUT std::vector<
    DescriptorExtractor::compute(image, keypoints, descriptors);
 }
 
-/////////////////////////////////////////////////////////////////////////////////////////////////////////////////
-
-/****************************************************************************************\
-*                             OpponentColorDescriptorExtractor                           *
-\****************************************************************************************/
-OpponentColorDescriptorExtractor::OpponentColorDescriptorExtractor( const Ptr<DescriptorExtractor>& _descriptorExtractor ) :
-        descriptorExtractor(_descriptorExtractor)
-{
-    CV_Assert( descriptorExtractor );
-}
-
-static void convertBGRImageToOpponentColorSpace( const Mat& bgrImage, std::vector<Mat>& opponentChannels )
-{
-    if( bgrImage.type() != CV_8UC3 )
-        CV_Error( Error::StsBadArg, "input image must be an BGR image of type CV_8UC3" );
-
-    // Prepare opponent color space storage matrices.
-    opponentChannels.resize( 3 );
-    opponentChannels[0] = cv::Mat(bgrImage.size(), CV_8UC1); // R-G RED-GREEN
-    opponentChannels[1] = cv::Mat(bgrImage.size(), CV_8UC1); // R+G-2B YELLOW-BLUE
-    opponentChannels[2] = cv::Mat(bgrImage.size(), CV_8UC1); // R+G+B
-
-    for(int y = 0; y < bgrImage.rows; ++y)
-        for(int x = 0; x < bgrImage.cols; ++x)
-        {
-            Vec3b v = bgrImage.at<Vec3b>(y, x);
-            uchar& b = v[0];
-            uchar& g = v[1];
-            uchar& r = v[2];
-
-            opponentChannels[0].at<uchar>(y, x) = saturate_cast<uchar>(0.5f    * (255 + g - r));       // (R - G)/sqrt(2), but converted to the destination data type
-            opponentChannels[1].at<uchar>(y, x) = saturate_cast<uchar>(0.25f   * (510 + r + g - 2*b)); // (R + G - 2B)/sqrt(6), but converted to the destination data type
-            opponentChannels[2].at<uchar>(y, x) = saturate_cast<uchar>(1.f/3.f * (r + g + b));         // (R + G + B)/sqrt(3), but converted to the destination data type
-        }
-}
-
-struct KP_LessThan
-{
-    KP_LessThan(const std::vector<KeyPoint>& _kp) : kp(&_kp) {}
-    bool operator()(int i, int j) const
-    {
-        return (*kp)[i].class_id < (*kp)[j].class_id;
-    }
-    const std::vector<KeyPoint>* kp;
-};
-
-void OpponentColorDescriptorExtractor::computeImpl( InputArray _bgrImage, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const
-{
-    Mat bgrImage = _bgrImage.getMat();
-    std::vector<Mat> opponentChannels;
-    convertBGRImageToOpponentColorSpace( bgrImage, opponentChannels );
-
-    const int N = 3; // channels count
-    std::vector<KeyPoint> channelKeypoints[N];
-    Mat channelDescriptors[N];
-    std::vector<int> idxs[N];
-
-    // Compute descriptors three times, once for each Opponent channel to concatenate into a single color descriptor
-    int maxKeypointsCount = 0;
-    for( int ci = 0; ci < N; ci++ )
-    {
-        channelKeypoints[ci].insert( channelKeypoints[ci].begin(), keypoints.begin(), keypoints.end() );
-        // Use class_id member to get indices into initial keypoints vector
-        for( size_t ki = 0; ki < channelKeypoints[ci].size(); ki++ )
-            channelKeypoints[ci][ki].class_id = (int)ki;
-
-        descriptorExtractor->compute( opponentChannels[ci], channelKeypoints[ci], channelDescriptors[ci] );
-        idxs[ci].resize( channelKeypoints[ci].size() );
-        for( size_t ki = 0; ki < channelKeypoints[ci].size(); ki++ )
-        {
-            idxs[ci][ki] = (int)ki;
-        }
-        std::sort( idxs[ci].begin(), idxs[ci].end(), KP_LessThan(channelKeypoints[ci]) );
-        maxKeypointsCount = std::max( maxKeypointsCount, (int)channelKeypoints[ci].size());
-    }
-
-    std::vector<KeyPoint> outKeypoints;
-    outKeypoints.reserve( keypoints.size() );
-
-    int dSize = descriptorExtractor->descriptorSize();
-    Mat mergedDescriptors( maxKeypointsCount, 3*dSize, descriptorExtractor->descriptorType() );
-    int mergedCount = 0;
-    // cp - current channel position
-    size_t cp[] = {0, 0, 0};
-    while( cp[0] < channelKeypoints[0].size() &&
-           cp[1] < channelKeypoints[1].size() &&
-           cp[2] < channelKeypoints[2].size() )
-    {
-        const int maxInitIdx = std::max( 0, std::max( channelKeypoints[0][idxs[0][cp[0]]].class_id,
-                                                      std::max( channelKeypoints[1][idxs[1][cp[1]]].class_id,
-                                                                channelKeypoints[2][idxs[2][cp[2]]].class_id ) ) );
-
-        while( channelKeypoints[0][idxs[0][cp[0]]].class_id < maxInitIdx && cp[0] < channelKeypoints[0].size() ) { cp[0]++; }
-        while( channelKeypoints[1][idxs[1][cp[1]]].class_id < maxInitIdx && cp[1] < channelKeypoints[1].size() ) { cp[1]++; }
-        while( channelKeypoints[2][idxs[2][cp[2]]].class_id < maxInitIdx && cp[2] < channelKeypoints[2].size() ) { cp[2]++; }
-        if( cp[0] >= channelKeypoints[0].size() || cp[1] >= channelKeypoints[1].size() || cp[2] >= channelKeypoints[2].size() )
-            break;
-
-        if( channelKeypoints[0][idxs[0][cp[0]]].class_id == maxInitIdx &&
-            channelKeypoints[1][idxs[1][cp[1]]].class_id == maxInitIdx &&
-            channelKeypoints[2][idxs[2][cp[2]]].class_id == maxInitIdx )
-        {
-            outKeypoints.push_back( keypoints[maxInitIdx] );
-            // merge descriptors
-            for( int ci = 0; ci < N; ci++ )
-            {
-                Mat dst = mergedDescriptors(Range(mergedCount, mergedCount+1), Range(ci*dSize, (ci+1)*dSize));
-                channelDescriptors[ci].row( idxs[ci][cp[ci]] ).copyTo( dst );
-                cp[ci]++;
-            }
-            mergedCount++;
-        }
-    }
-    mergedDescriptors.rowRange(0, mergedCount).copyTo( descriptors );
-    std::swap( outKeypoints, keypoints );
-}
-
-void OpponentColorDescriptorExtractor::read( const FileNode& fn )
-{
-    descriptorExtractor->read(fn);
-}
-
-void OpponentColorDescriptorExtractor::write( FileStorage& fs ) const
-{
-    descriptorExtractor->write(fs);
-}
-
-int OpponentColorDescriptorExtractor::descriptorSize() const
-{
-    return 3*descriptorExtractor->descriptorSize();
-}
-
-int OpponentColorDescriptorExtractor::descriptorType() const
-{
-    return descriptorExtractor->descriptorType();
-}
-
-int OpponentColorDescriptorExtractor::defaultNorm() const
-{
-    return descriptorExtractor->defaultNorm();
-}
-
-bool OpponentColorDescriptorExtractor::empty() const
-{
-    return !descriptorExtractor || descriptorExtractor->empty();
-}
-
 }
diff --git a/modules/features2d/src/detectors.cpp b/modules/features2d/src/detectors.cpp
index d3c1f3f200..866d24d106 100644
--- a/modules/features2d/src/detectors.cpp
+++ b/modules/features2d/src/detectors.cpp
@@ -106,24 +106,6 @@ void FeatureDetector::removeInvalidPoints( const Mat& mask, std::vector<KeyPoint
 
 Ptr<FeatureDetector> FeatureDetector::create( const String& detectorType )
 {
-    if( detectorType.find("Grid") == 0 )
-    {
-        return makePtr<GridAdaptedFeatureDetector>(FeatureDetector::create(
-                                detectorType.substr(strlen("Grid"))));
-    }
-
-    if( detectorType.find("Pyramid") == 0 )
-    {
-        return makePtr<PyramidAdaptedFeatureDetector>(FeatureDetector::create(
-                                detectorType.substr(strlen("Pyramid"))));
-    }
-
-    if( detectorType.find("Dynamic") == 0 )
-    {
-        return makePtr<DynamicAdaptedFeatureDetector>(AdjusterAdapter::create(
-                                detectorType.substr(strlen("Dynamic"))));
-    }
-
     if( detectorType.compare( "HARRIS" ) == 0 )
     {
         Ptr<FeatureDetector> fd = FeatureDetector::create("GFTT");
@@ -176,212 +158,4 @@ void GFTTDetector::detectImpl( InputArray _image, std::vector<KeyPoint>& keypoin
 
 }
 
-////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
-
-/*
- *  DenseFeatureDetector
- */
-DenseFeatureDetector::DenseFeatureDetector( float _initFeatureScale, int _featureScaleLevels,
-                                      float _featureScaleMul, int _initXyStep,
-                                      int _initImgBound, bool _varyXyStepWithScale,
-                                      bool _varyImgBoundWithScale ) :
-    initFeatureScale(_initFeatureScale), featureScaleLevels(_featureScaleLevels),
-    featureScaleMul(_featureScaleMul), initXyStep(_initXyStep), initImgBound(_initImgBound),
-    varyXyStepWithScale(_varyXyStepWithScale), varyImgBoundWithScale(_varyImgBoundWithScale)
-{}
-
-
-void DenseFeatureDetector::detectImpl( InputArray _image, std::vector<KeyPoint>& keypoints, InputArray _mask ) const
-{
-    Mat image = _image.getMat(), mask = _mask.getMat();
-
-    float curScale = static_cast<float>(initFeatureScale);
-    int curStep = initXyStep;
-    int curBound = initImgBound;
-    for( int curLevel = 0; curLevel < featureScaleLevels; curLevel++ )
-    {
-        for( int x = curBound; x < image.cols - curBound; x += curStep )
-        {
-            for( int y = curBound; y < image.rows - curBound; y += curStep )
-            {
-                keypoints.push_back( KeyPoint(static_cast<float>(x), static_cast<float>(y), curScale) );
-            }
-        }
-
-        curScale = static_cast<float>(curScale * featureScaleMul);
-        if( varyXyStepWithScale ) curStep = static_cast<int>( curStep * featureScaleMul + 0.5f );
-        if( varyImgBoundWithScale ) curBound = static_cast<int>( curBound * featureScaleMul + 0.5f );
-    }
-
-    KeyPointsFilter::runByPixelsMask( keypoints, mask );
-}
-
-/*
- *  GridAdaptedFeatureDetector
- */
-GridAdaptedFeatureDetector::GridAdaptedFeatureDetector( const Ptr<FeatureDetector>& _detector,
-                                                        int _maxTotalKeypoints, int _gridRows, int _gridCols )
-    : detector(_detector), maxTotalKeypoints(_maxTotalKeypoints), gridRows(_gridRows), gridCols(_gridCols)
-{}
-
-bool GridAdaptedFeatureDetector::empty() const
-{
-    return !detector || detector->empty();
-}
-
-struct ResponseComparator
-{
-    bool operator() (const KeyPoint& a, const KeyPoint& b)
-    {
-        return std::abs(a.response) > std::abs(b.response);
-    }
-};
-
-static void keepStrongest( int N, std::vector<KeyPoint>& keypoints )
-{
-    if( (int)keypoints.size() > N )
-    {
-        std::vector<KeyPoint>::iterator nth = keypoints.begin() + N;
-        std::nth_element( keypoints.begin(), nth, keypoints.end(), ResponseComparator() );
-        keypoints.erase( nth, keypoints.end() );
-    }
-}
-
-namespace {
-class GridAdaptedFeatureDetectorInvoker : public ParallelLoopBody
-{
-private:
-    int gridRows_, gridCols_;
-    int maxPerCell_;
-    std::vector<KeyPoint>& keypoints_;
-    const Mat& image_;
-    const Mat& mask_;
-    const Ptr<FeatureDetector>& detector_;
-    Mutex* kptLock_;
-
-    GridAdaptedFeatureDetectorInvoker& operator=(const GridAdaptedFeatureDetectorInvoker&); // to quiet MSVC
-
-public:
-
-    GridAdaptedFeatureDetectorInvoker(const Ptr<FeatureDetector>& detector, const Mat& image, const Mat& mask,
-                                      std::vector<KeyPoint>& keypoints, int maxPerCell, int gridRows, int gridCols,
-                                      cv::Mutex* kptLock)
-        : gridRows_(gridRows), gridCols_(gridCols), maxPerCell_(maxPerCell),
-          keypoints_(keypoints), image_(image), mask_(mask), detector_(detector),
-          kptLock_(kptLock)
-    {
-    }
-
-    void operator() (const Range& range) const
-    {
-        for (int i = range.start; i < range.end; ++i)
-        {
-            int celly = i / gridCols_;
-            int cellx = i - celly * gridCols_;
-
-            Range row_range((celly*image_.rows)/gridRows_, ((celly+1)*image_.rows)/gridRows_);
-            Range col_range((cellx*image_.cols)/gridCols_, ((cellx+1)*image_.cols)/gridCols_);
-
-            Mat sub_image = image_(row_range, col_range);
-            Mat sub_mask;
-            if (!mask_.empty()) sub_mask = mask_(row_range, col_range);
-
-            std::vector<KeyPoint> sub_keypoints;
-            sub_keypoints.reserve(maxPerCell_);
-
-            detector_->detect( sub_image, sub_keypoints, sub_mask );
-            keepStrongest( maxPerCell_, sub_keypoints );
-
-            std::vector<cv::KeyPoint>::iterator it = sub_keypoints.begin(),
-                                                end = sub_keypoints.end();
-            for( ; it != end; ++it )
-            {
-                it->pt.x += col_range.start;
-                it->pt.y += row_range.start;
-            }
-
-            cv::AutoLock join_keypoints(*kptLock_);
-            keypoints_.insert( keypoints_.end(), sub_keypoints.begin(), sub_keypoints.end() );
-        }
-    }
-};
-} // namepace
-
-void GridAdaptedFeatureDetector::detectImpl( InputArray _image, std::vector<KeyPoint>& keypoints, InputArray _mask ) const
-{
-    if (_image.empty() || maxTotalKeypoints < gridRows * gridCols)
-    {
-        keypoints.clear();
-        return;
-    }
-    keypoints.reserve(maxTotalKeypoints);
-    int maxPerCell = maxTotalKeypoints / (gridRows * gridCols);
-
-    Mat image = _image.getMat(), mask = _mask.getMat();
-
-    cv::Mutex kptLock;
-    cv::parallel_for_(cv::Range(0, gridRows * gridCols),
-        GridAdaptedFeatureDetectorInvoker(detector, image, mask, keypoints, maxPerCell, gridRows, gridCols, &kptLock));
-}
-
-/*
- *  PyramidAdaptedFeatureDetector
- */
-PyramidAdaptedFeatureDetector::PyramidAdaptedFeatureDetector( const Ptr<FeatureDetector>& _detector, int _maxLevel )
-    : detector(_detector), maxLevel(_maxLevel)
-{}
-
-bool PyramidAdaptedFeatureDetector::empty() const
-{
-    return !detector || detector->empty();
-}
-
-void PyramidAdaptedFeatureDetector::detectImpl( InputArray _image, std::vector<KeyPoint>& keypoints, InputArray _mask ) const
-{
-    Mat image = _image.getMat(), mask = _mask.getMat();
-    Mat src = image;
-    Mat src_mask = mask;
-
-    Mat dilated_mask;
-    if( !mask.empty() )
-    {
-        dilate( mask, dilated_mask, Mat() );
-        Mat mask255( mask.size(), CV_8UC1, Scalar(0) );
-        mask255.setTo( Scalar(255), dilated_mask != 0 );
-        dilated_mask = mask255;
-    }
-
-    for( int l = 0, multiplier = 1; l <= maxLevel; ++l, multiplier *= 2 )
-    {
-        // Detect on current level of the pyramid
-        std::vector<KeyPoint> new_pts;
-        detector->detect( src, new_pts, src_mask );
-        std::vector<KeyPoint>::iterator it = new_pts.begin(),
-                                   end = new_pts.end();
-        for( ; it != end; ++it)
-        {
-            it->pt.x *= multiplier;
-            it->pt.y *= multiplier;
-            it->size *= multiplier;
-            it->octave = l;
-        }
-        keypoints.insert( keypoints.end(), new_pts.begin(), new_pts.end() );
-
-        // Downsample
-        if( l < maxLevel )
-        {
-            Mat dst;
-            pyrDown( src, dst );
-            src = dst;
-
-            if( !mask.empty() )
-                resize( dilated_mask, src_mask, src.size(), 0, 0, INTER_AREA );
-        }
-    }
-
-    if( !mask.empty() )
-        KeyPointsFilter::runByPixelsMask( keypoints, mask );
-}
-
-
 }
diff --git a/modules/features2d/src/dynamic.cpp b/modules/features2d/src/dynamic.cpp
index 560005fba0..1806a273fd 100644
--- a/modules/features2d/src/dynamic.cpp
+++ b/modules/features2d/src/dynamic.cpp
@@ -44,181 +44,4 @@
 namespace cv
 {
 
-DynamicAdaptedFeatureDetector::DynamicAdaptedFeatureDetector(const Ptr<AdjusterAdapter>& a,
-                                         int min_features, int max_features, int max_iters ) :
-        escape_iters_(max_iters), min_features_(min_features), max_features_(max_features), adjuster_(a)
-{}
-
-bool DynamicAdaptedFeatureDetector::empty() const
-{
-    return !adjuster_ || adjuster_->empty();
-}
-
-void DynamicAdaptedFeatureDetector::detectImpl(InputArray _image, std::vector<KeyPoint>& keypoints, InputArray _mask) const
-{
-    Mat image = _image.getMat(), mask = _mask.getMat();
-
-    //for oscillation testing
-    bool down = false;
-    bool up = false;
-
-    //flag for whether the correct threshhold has been reached
-    bool thresh_good = false;
-
-    Ptr<AdjusterAdapter> adjuster = adjuster_->clone();
-
-    //break if the desired number hasn't been reached.
-    int iter_count = escape_iters_;
-
-    while( iter_count > 0 && !(down && up) && !thresh_good && adjuster->good() )
-    {
-        keypoints.clear();
-
-        //the adjuster takes care of calling the detector with updated parameters
-        adjuster->detect(image, keypoints,mask);
-
-        if( int(keypoints.size()) < min_features_ )
-        {
-            down = true;
-            adjuster->tooFew(min_features_, (int)keypoints.size());
-        }
-        else if( int(keypoints.size()) > max_features_ )
-        {
-            up = true;
-            adjuster->tooMany(max_features_, (int)keypoints.size());
-        }
-        else
-            thresh_good = true;
-
-        iter_count--;
-    }
-
-}
-
-FastAdjuster::FastAdjuster( int init_thresh, bool nonmax, int min_thresh, int max_thresh ) :
-    thresh_(init_thresh), nonmax_(nonmax), init_thresh_(init_thresh),
-    min_thresh_(min_thresh), max_thresh_(max_thresh)
-{}
-
-void FastAdjuster::detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
-{
-    FastFeatureDetector(thresh_, nonmax_).detect(image, keypoints, mask);
-}
-
-void FastAdjuster::tooFew(int, int)
-{
-    //fast is easy to adjust
-    thresh_--;
-}
-
-void FastAdjuster::tooMany(int, int)
-{
-    //fast is easy to adjust
-    thresh_++;
-}
-
-//return whether or not the threshhold is beyond
-//a useful point
-bool FastAdjuster::good() const
-{
-    return (thresh_ > min_thresh_) && (thresh_ < max_thresh_);
-}
-
-Ptr<AdjusterAdapter> FastAdjuster::clone() const
-{
-    Ptr<AdjusterAdapter> cloned_obj(new FastAdjuster( init_thresh_, nonmax_, min_thresh_, max_thresh_ ));
-    return cloned_obj;
-}
-
-StarAdjuster::StarAdjuster(double initial_thresh, double min_thresh, double max_thresh) :
-    thresh_(initial_thresh), init_thresh_(initial_thresh),
-    min_thresh_(min_thresh), max_thresh_(max_thresh)
-{}
-
-void StarAdjuster::detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
-{
-    StarFeatureDetector detector_tmp(16, cvRound(thresh_), 10, 8, 3);
-    detector_tmp.detect(image, keypoints, mask);
-}
-
-void StarAdjuster::tooFew(int, int)
-{
-    thresh_ *= 0.9;
-    if (thresh_ < 1.1)
-            thresh_ = 1.1;
-}
-
-void StarAdjuster::tooMany(int, int)
-{
-    thresh_ *= 1.1;
-}
-
-bool StarAdjuster::good() const
-{
-    return (thresh_ > min_thresh_) && (thresh_ < max_thresh_);
-}
-
-Ptr<AdjusterAdapter> StarAdjuster::clone() const
-{
-    Ptr<AdjusterAdapter> cloned_obj(new StarAdjuster( init_thresh_, min_thresh_, max_thresh_ ));
-    return cloned_obj;
-}
-
-SurfAdjuster::SurfAdjuster( double initial_thresh, double min_thresh, double max_thresh ) :
-    thresh_(initial_thresh), init_thresh_(initial_thresh),
-    min_thresh_(min_thresh), max_thresh_(max_thresh)
-{}
-
-void SurfAdjuster::detectImpl(InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
-{
-    Ptr<FeatureDetector> surf = FeatureDetector::create("SURF");
-    surf->set("hessianThreshold", thresh_);
-    surf->detect(image, keypoints, mask);
-}
-
-void SurfAdjuster::tooFew(int, int)
-{
-    thresh_ *= 0.9;
-    if (thresh_ < 1.1)
-            thresh_ = 1.1;
-}
-
-void SurfAdjuster::tooMany(int, int)
-{
-    thresh_ *= 1.1;
-}
-
-//return whether or not the threshhold is beyond
-//a useful point
-bool SurfAdjuster::good() const
-{
-    return (thresh_ > min_thresh_) && (thresh_ < max_thresh_);
-}
-
-Ptr<AdjusterAdapter> SurfAdjuster::clone() const
-{
-    Ptr<AdjusterAdapter> cloned_obj(new SurfAdjuster( init_thresh_, min_thresh_, max_thresh_ ));
-    return cloned_obj;
-}
-
-Ptr<AdjusterAdapter> AdjusterAdapter::create( const String& detectorType )
-{
-    Ptr<AdjusterAdapter> adapter;
-
-    if( !detectorType.compare( "FAST" ) )
-    {
-        adapter = makePtr<FastAdjuster>();
-    }
-    else if( !detectorType.compare( "STAR" ) )
-    {
-        adapter = makePtr<StarAdjuster>();
-    }
-    else if( !detectorType.compare( "SURF" ) )
-    {
-        adapter = makePtr<SurfAdjuster>();
-    }
-
-    return adapter;
-}
-
 }
diff --git a/modules/features2d/src/evaluation.cpp b/modules/features2d/src/evaluation.cpp
index 2afc57bd3e..3863203df7 100644
--- a/modules/features2d/src/evaluation.cpp
+++ b/modules/features2d/src/evaluation.cpp
@@ -556,56 +556,3 @@ int cv::getNearestPoint( const std::vector<Point2f>& recallPrecisionCurve, float
 
     return nearestPointIndex;
 }
-
-void cv::evaluateGenericDescriptorMatcher( const Mat& img1, const Mat& img2, const Mat& H1to2,
-                                           std::vector<KeyPoint>& keypoints1, std::vector<KeyPoint>& keypoints2,
-                                           std::vector<std::vector<DMatch> >* _matches1to2, std::vector<std::vector<uchar> >* _correctMatches1to2Mask,
-                                           std::vector<Point2f>& recallPrecisionCurve,
-                                           const Ptr<GenericDescriptorMatcher>& _dmatcher )
-{
-    Ptr<GenericDescriptorMatcher> dmatcher = _dmatcher;
-    dmatcher->clear();
-
-    std::vector<std::vector<DMatch> > *matches1to2, buf1;
-    matches1to2 = _matches1to2 != 0 ? _matches1to2 : &buf1;
-
-    std::vector<std::vector<uchar> > *correctMatches1to2Mask, buf2;
-    correctMatches1to2Mask = _correctMatches1to2Mask != 0 ? _correctMatches1to2Mask : &buf2;
-
-    if( keypoints1.empty() )
-        CV_Error( Error::StsBadArg, "keypoints1 must not be empty" );
-
-    if( matches1to2->empty() && !dmatcher )
-        CV_Error( Error::StsBadArg, "dmatch must not be empty when matches1to2 is empty" );
-
-    bool computeKeypoints2ByPrj = keypoints2.empty();
-    if( computeKeypoints2ByPrj )
-    {
-        CV_Error(Error::StsNotImplemented, "");
-        // TODO: add computing keypoints2 from keypoints1 using H1to2
-    }
-
-    if( matches1to2->empty() || computeKeypoints2ByPrj )
-    {
-        dmatcher->clear();
-        dmatcher->radiusMatch( img1, keypoints1, img2, keypoints2, *matches1to2, std::numeric_limits<float>::max() );
-    }
-    float repeatability;
-    int correspCount;
-    Mat thresholdedOverlapMask; // thresholded allOverlapErrors
-    calculateRepeatability( img1, img2, H1to2, keypoints1, keypoints2, repeatability, correspCount, &thresholdedOverlapMask );
-
-    correctMatches1to2Mask->resize(matches1to2->size());
-    for( size_t i = 0; i < matches1to2->size(); i++ )
-    {
-        (*correctMatches1to2Mask)[i].resize((*matches1to2)[i].size());
-        for( size_t j = 0;j < (*matches1to2)[i].size(); j++ )
-        {
-            int indexQuery = (*matches1to2)[i][j].queryIdx;
-            int indexTrain = (*matches1to2)[i][j].trainIdx;
-            (*correctMatches1to2Mask)[i][j] = thresholdedOverlapMask.at<uchar>( indexQuery, indexTrain );
-        }
-    }
-
-    computeRecallPrecisionCurve( *matches1to2, *correctMatches1to2Mask, recallPrecisionCurve );
-}
diff --git a/modules/features2d/src/features2d_init.cpp b/modules/features2d/src/features2d_init.cpp
index eb7145697b..470cb3c54e 100644
--- a/modules/features2d/src/features2d_init.cpp
+++ b/modules/features2d/src/features2d_init.cpp
@@ -62,24 +62,11 @@ CV_INIT_ALGORITHM(BRISK, "Feature2D.BRISK",
 
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
 
-CV_INIT_ALGORITHM(BriefDescriptorExtractor, "Feature2D.BRIEF",
-                  obj.info()->addParam(obj, "bytes", obj.bytes_))
-
-///////////////////////////////////////////////////////////////////////////////////////////////////////////
-
 CV_INIT_ALGORITHM(FastFeatureDetector, "Feature2D.FAST",
                   obj.info()->addParam(obj, "threshold", obj.threshold);
                   obj.info()->addParam(obj, "nonmaxSuppression", obj.nonmaxSuppression);
                   obj.info()->addParam(obj, "type", obj.type))
 
-///////////////////////////////////////////////////////////////////////////////////////////////////////////
-
-CV_INIT_ALGORITHM(StarDetector, "Feature2D.STAR",
-                  obj.info()->addParam(obj, "maxSize", obj.maxSize);
-                  obj.info()->addParam(obj, "responseThreshold", obj.responseThreshold);
-                  obj.info()->addParam(obj, "lineThresholdProjected", obj.lineThresholdProjected);
-                  obj.info()->addParam(obj, "lineThresholdBinarized", obj.lineThresholdBinarized);
-                  obj.info()->addParam(obj, "suppressNonmaxSize", obj.suppressNonmaxSize))
 
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
 
@@ -108,14 +95,6 @@ CV_INIT_ALGORITHM(ORB, "Feature2D.ORB",
 
 ///////////////////////////////////////////////////////////////////////////////////////////////////////////
 
-CV_INIT_ALGORITHM(FREAK, "Feature2D.FREAK",
-                  obj.info()->addParam(obj, "orientationNormalized", obj.orientationNormalized);
-                  obj.info()->addParam(obj, "scaleNormalized", obj.scaleNormalized);
-                  obj.info()->addParam(obj, "patternScale", obj.patternScale);
-                  obj.info()->addParam(obj, "nbOctave", obj.nOctaves))
-
-///////////////////////////////////////////////////////////////////////////////////////////////////////////
-
 CV_INIT_ALGORITHM(GFTTDetector, "Feature2D.GFTT",
                   obj.info()->addParam(obj, "nfeatures", obj.nfeatures);
                   obj.info()->addParam(obj, "qualityLevel", obj.qualityLevel);
@@ -181,23 +160,6 @@ CV_INIT_ALGORITHM(HarrisDetector, "Feature2D.HARRIS",
 
 ////////////////////////////////////////////////////////////////////////////////////////////////////////////
 
-CV_INIT_ALGORITHM(DenseFeatureDetector, "Feature2D.Dense",
-                  obj.info()->addParam(obj, "initFeatureScale", obj.initFeatureScale);
-                  obj.info()->addParam(obj, "featureScaleLevels", obj.featureScaleLevels);
-                  obj.info()->addParam(obj, "featureScaleMul", obj.featureScaleMul);
-                  obj.info()->addParam(obj, "initXyStep", obj.initXyStep);
-                  obj.info()->addParam(obj, "initImgBound", obj.initImgBound);
-                  obj.info()->addParam(obj, "varyXyStepWithScale", obj.varyXyStepWithScale);
-                  obj.info()->addParam(obj, "varyImgBoundWithScale", obj.varyImgBoundWithScale))
-
-CV_INIT_ALGORITHM(GridAdaptedFeatureDetector, "Feature2D.Grid",
-                  obj.info()->addParam<FeatureDetector>(obj, "detector", obj.detector, false, 0, 0); // Extra params added to avoid VS2013 fatal error in opencv2/core.hpp (decl. of addParam)
-                  obj.info()->addParam(obj, "maxTotalKeypoints", obj.maxTotalKeypoints);
-                  obj.info()->addParam(obj, "gridRows", obj.gridRows);
-                  obj.info()->addParam(obj, "gridCols", obj.gridCols))
-
-////////////////////////////////////////////////////////////////////////////////////////////////////////////
-
 CV_INIT_ALGORITHM(BFMatcher, "DescriptorMatcher.BFMatcher",
                   obj.info()->addParam(obj, "normType", obj.normType);
                   obj.info()->addParam(obj, "crossCheck", obj.crossCheck))
@@ -209,19 +171,14 @@ CV_INIT_ALGORITHM(FlannBasedMatcher, "DescriptorMatcher.FlannBasedMatcher",)
 bool cv::initModule_features2d(void)
 {
     bool all = true;
-    all &= !BriefDescriptorExtractor_info_auto.name().empty();
     all &= !BRISK_info_auto.name().empty();
     all &= !FastFeatureDetector_info_auto.name().empty();
-    all &= !StarDetector_info_auto.name().empty();
     all &= !MSER_info_auto.name().empty();
-    all &= !FREAK_info_auto.name().empty();
     all &= !ORB_info_auto.name().empty();
     all &= !GFTTDetector_info_auto.name().empty();
     all &= !KAZE_info_auto.name().empty();
     all &= !AKAZE_info_auto.name().empty();
-        all &= !HarrisDetector_info_auto.name().empty();
-    all &= !DenseFeatureDetector_info_auto.name().empty();
-    all &= !GridAdaptedFeatureDetector_info_auto.name().empty();
+    all &= !HarrisDetector_info_auto.name().empty();
     all &= !BFMatcher_info_auto.name().empty();
     all &= !FlannBasedMatcher_info_auto.name().empty();
 
diff --git a/modules/features2d/src/freak.cpp b/modules/features2d/src/freak.cpp
deleted file mode 100644
index 58c1fe11e2..0000000000
--- a/modules/features2d/src/freak.cpp
+++ /dev/null
@@ -1,733 +0,0 @@
-//  freak.cpp
-//
-//  Copyright (C) 2011-2012  Signal processing laboratory 2, EPFL,
-//  Kirell Benzi (kirell.benzi@epfl.ch),
-//  Raphael Ortiz (raphael.ortiz@a3.epfl.ch)
-//  Alexandre Alahi (alexandre.alahi@epfl.ch)
-//  and Pierre Vandergheynst (pierre.vandergheynst@epfl.ch)
-//
-//  Redistribution and use in source and binary forms, with or without modification,
-//  are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-//  This software is provided by the copyright holders and contributors "as is" and
-//  any express or implied warranties, including, but not limited to, the implied
-//  warranties of merchantability and fitness for a particular purpose are disclaimed.
-//  In no event shall the Intel Corporation or contributors be liable for any direct,
-//  indirect, incidental, special, exemplary, or consequential damages
-//  (including, but not limited to, procurement of substitute goods or services;
-//  loss of use, data, or profits; or business interruption) however caused
-//  and on any theory of liability, whether in contract, strict liability,
-//  or tort (including negligence or otherwise) arising in any way out of
-//  the use of this software, even if advised of the possibility of such damage.
-
-#include "precomp.hpp"
-#include <fstream>
-#include <stdlib.h>
-#include <algorithm>
-#include <iostream>
-#include <bitset>
-#include <sstream>
-#include <algorithm>
-#include <iomanip>
-#include <string.h>
-
-namespace cv
-{
-
-static const double FREAK_SQRT2 = 1.4142135623731;
-static const double FREAK_LOG2 = 0.693147180559945;
-static const int FREAK_NB_ORIENTATION = 256;
-static const int FREAK_NB_POINTS = 43;
-static const int FREAK_SMALLEST_KP_SIZE = 7; // smallest size of keypoints
-static const int FREAK_NB_SCALES = FREAK::NB_SCALES;
-static const int FREAK_NB_PAIRS = FREAK::NB_PAIRS;
-static const int FREAK_NB_ORIENPAIRS = FREAK::NB_ORIENPAIRS;
-
-// default pairs
-static const int FREAK_DEF_PAIRS[FREAK::NB_PAIRS] =
-{
-     404,431,818,511,181,52,311,874,774,543,719,230,417,205,11,
-     560,149,265,39,306,165,857,250,8,61,15,55,717,44,412,
-     592,134,761,695,660,782,625,487,549,516,271,665,762,392,178,
-     796,773,31,672,845,548,794,677,654,241,831,225,238,849,83,
-     691,484,826,707,122,517,583,731,328,339,571,475,394,472,580,
-     381,137,93,380,327,619,729,808,218,213,459,141,806,341,95,
-     382,568,124,750,193,749,706,843,79,199,317,329,768,198,100,
-     466,613,78,562,783,689,136,838,94,142,164,679,219,419,366,
-     418,423,77,89,523,259,683,312,555,20,470,684,123,458,453,833,
-     72,113,253,108,313,25,153,648,411,607,618,128,305,232,301,84,
-     56,264,371,46,407,360,38,99,176,710,114,578,66,372,653,
-     129,359,424,159,821,10,323,393,5,340,891,9,790,47,0,175,346,
-     236,26,172,147,574,561,32,294,429,724,755,398,787,288,299,
-     769,565,767,722,757,224,465,723,498,467,235,127,802,446,233,
-     544,482,800,318,16,532,801,441,554,173,60,530,713,469,30,
-     212,630,899,170,266,799,88,49,512,399,23,500,107,524,90,
-     194,143,135,192,206,345,148,71,119,101,563,870,158,254,214,
-     276,464,332,725,188,385,24,476,40,231,620,171,258,67,109,
-     844,244,187,388,701,690,50,7,850,479,48,522,22,154,12,659,
-     736,655,577,737,830,811,174,21,237,335,353,234,53,270,62,
-     182,45,177,245,812,673,355,556,612,166,204,54,248,365,226,
-     242,452,700,685,573,14,842,481,468,781,564,416,179,405,35,
-     819,608,624,367,98,643,448,2,460,676,440,240,130,146,184,
-     185,430,65,807,377,82,121,708,239,310,138,596,730,575,477,
-     851,797,247,27,85,586,307,779,326,494,856,324,827,96,748,
-     13,397,125,688,702,92,293,716,277,140,112,4,80,855,839,1,
-     413,347,584,493,289,696,19,751,379,76,73,115,6,590,183,734,
-     197,483,217,344,330,400,186,243,587,220,780,200,793,246,824,
-     41,735,579,81,703,322,760,720,139,480,490,91,814,813,163,
-     152,488,763,263,425,410,576,120,319,668,150,160,302,491,515,
-     260,145,428,97,251,395,272,252,18,106,358,854,485,144,550,
-     131,133,378,68,102,104,58,361,275,209,697,582,338,742,589,
-     325,408,229,28,304,191,189,110,126,486,211,547,533,70,215,
-     670,249,36,581,389,605,331,518,442,822
-};
-
-// used to sort pairs during pairs selection
-struct PairStat
-{
-    double mean;
-    int idx;
-};
-
-struct sortMean
-{
-    bool operator()( const PairStat& a, const PairStat& b ) const
-    {
-        return a.mean < b.mean;
-    }
-};
-
-void FREAK::buildPattern()
-{
-    if( patternScale == patternScale0 && nOctaves == nOctaves0 && !patternLookup.empty() )
-        return;
-
-    nOctaves0 = nOctaves;
-    patternScale0 = patternScale;
-
-    patternLookup.resize(FREAK_NB_SCALES*FREAK_NB_ORIENTATION*FREAK_NB_POINTS);
-    double scaleStep = std::pow(2.0, (double)(nOctaves)/FREAK_NB_SCALES ); // 2 ^ ( (nOctaves-1) /nbScales)
-    double scalingFactor, alpha, beta, theta = 0;
-
-    // pattern definition, radius normalized to 1.0 (outer point position+sigma=1.0)
-    const int n[8] = {6,6,6,6,6,6,6,1}; // number of points on each concentric circle (from outer to inner)
-    const double bigR(2.0/3.0); // bigger radius
-    const double smallR(2.0/24.0); // smaller radius
-    const double unitSpace( (bigR-smallR)/21.0 ); // define spaces between concentric circles (from center to outer: 1,2,3,4,5,6)
-    // radii of the concentric cirles (from outer to inner)
-    const double radius[8] = {bigR, bigR-6*unitSpace, bigR-11*unitSpace, bigR-15*unitSpace, bigR-18*unitSpace, bigR-20*unitSpace, smallR, 0.0};
-    // sigma of pattern points (each group of 6 points on a concentric cirle has the same sigma)
-    const double sigma[8] = {radius[0]/2.0, radius[1]/2.0, radius[2]/2.0,
-                             radius[3]/2.0, radius[4]/2.0, radius[5]/2.0,
-                             radius[6]/2.0, radius[6]/2.0
-                            };
-    // fill the lookup table
-    for( int scaleIdx=0; scaleIdx < FREAK_NB_SCALES; ++scaleIdx )
-    {
-        patternSizes[scaleIdx] = 0; // proper initialization
-        scalingFactor = std::pow(scaleStep,scaleIdx); //scale of the pattern, scaleStep ^ scaleIdx
-
-        for( int orientationIdx = 0; orientationIdx < FREAK_NB_ORIENTATION; ++orientationIdx )
-        {
-            theta = double(orientationIdx)* 2*CV_PI/double(FREAK_NB_ORIENTATION); // orientation of the pattern
-            int pointIdx = 0;
-
-            PatternPoint* patternLookupPtr = &patternLookup[0];
-            for( size_t i = 0; i < 8; ++i )
-            {
-                for( int k = 0 ; k < n[i]; ++k )
-                {
-                    beta = CV_PI/n[i] * (i%2); // orientation offset so that groups of points on each circles are staggered
-                    alpha = double(k)* 2*CV_PI/double(n[i])+beta+theta;
-
-                    // add the point to the look-up table
-                    PatternPoint& point = patternLookupPtr[ scaleIdx*FREAK_NB_ORIENTATION*FREAK_NB_POINTS+orientationIdx*FREAK_NB_POINTS+pointIdx ];
-                    point.x = static_cast<float>(radius[i] * cos(alpha) * scalingFactor * patternScale);
-                    point.y = static_cast<float>(radius[i] * sin(alpha) * scalingFactor * patternScale);
-                    point.sigma = static_cast<float>(sigma[i] * scalingFactor * patternScale);
-
-                    // adapt the sizeList if necessary
-                    const int sizeMax = static_cast<int>(ceil((radius[i]+sigma[i])*scalingFactor*patternScale)) + 1;
-                    if( patternSizes[scaleIdx] < sizeMax )
-                        patternSizes[scaleIdx] = sizeMax;
-
-                    ++pointIdx;
-                }
-            }
-        }
-    }
-
-    // build the list of orientation pairs
-    orientationPairs[0].i=0; orientationPairs[0].j=3; orientationPairs[1].i=1; orientationPairs[1].j=4; orientationPairs[2].i=2; orientationPairs[2].j=5;
-    orientationPairs[3].i=0; orientationPairs[3].j=2; orientationPairs[4].i=1; orientationPairs[4].j=3; orientationPairs[5].i=2; orientationPairs[5].j=4;
-    orientationPairs[6].i=3; orientationPairs[6].j=5; orientationPairs[7].i=4; orientationPairs[7].j=0; orientationPairs[8].i=5; orientationPairs[8].j=1;
-
-    orientationPairs[9].i=6; orientationPairs[9].j=9; orientationPairs[10].i=7; orientationPairs[10].j=10; orientationPairs[11].i=8; orientationPairs[11].j=11;
-    orientationPairs[12].i=6; orientationPairs[12].j=8; orientationPairs[13].i=7; orientationPairs[13].j=9; orientationPairs[14].i=8; orientationPairs[14].j=10;
-    orientationPairs[15].i=9; orientationPairs[15].j=11; orientationPairs[16].i=10; orientationPairs[16].j=6; orientationPairs[17].i=11; orientationPairs[17].j=7;
-
-    orientationPairs[18].i=12; orientationPairs[18].j=15; orientationPairs[19].i=13; orientationPairs[19].j=16; orientationPairs[20].i=14; orientationPairs[20].j=17;
-    orientationPairs[21].i=12; orientationPairs[21].j=14; orientationPairs[22].i=13; orientationPairs[22].j=15; orientationPairs[23].i=14; orientationPairs[23].j=16;
-    orientationPairs[24].i=15; orientationPairs[24].j=17; orientationPairs[25].i=16; orientationPairs[25].j=12; orientationPairs[26].i=17; orientationPairs[26].j=13;
-
-    orientationPairs[27].i=18; orientationPairs[27].j=21; orientationPairs[28].i=19; orientationPairs[28].j=22; orientationPairs[29].i=20; orientationPairs[29].j=23;
-    orientationPairs[30].i=18; orientationPairs[30].j=20; orientationPairs[31].i=19; orientationPairs[31].j=21; orientationPairs[32].i=20; orientationPairs[32].j=22;
-    orientationPairs[33].i=21; orientationPairs[33].j=23; orientationPairs[34].i=22; orientationPairs[34].j=18; orientationPairs[35].i=23; orientationPairs[35].j=19;
-
-    orientationPairs[36].i=24; orientationPairs[36].j=27; orientationPairs[37].i=25; orientationPairs[37].j=28; orientationPairs[38].i=26; orientationPairs[38].j=29;
-    orientationPairs[39].i=30; orientationPairs[39].j=33; orientationPairs[40].i=31; orientationPairs[40].j=34; orientationPairs[41].i=32; orientationPairs[41].j=35;
-    orientationPairs[42].i=36; orientationPairs[42].j=39; orientationPairs[43].i=37; orientationPairs[43].j=40; orientationPairs[44].i=38; orientationPairs[44].j=41;
-
-    for( unsigned m = FREAK_NB_ORIENPAIRS; m--; )
-    {
-        const float dx = patternLookup[orientationPairs[m].i].x-patternLookup[orientationPairs[m].j].x;
-        const float dy = patternLookup[orientationPairs[m].i].y-patternLookup[orientationPairs[m].j].y;
-        const float norm_sq = (dx*dx+dy*dy);
-        orientationPairs[m].weight_dx = int((dx/(norm_sq))*4096.0+0.5);
-        orientationPairs[m].weight_dy = int((dy/(norm_sq))*4096.0+0.5);
-    }
-
-    // build the list of description pairs
-    std::vector<DescriptionPair> allPairs;
-    for( unsigned int i = 1; i < (unsigned int)FREAK_NB_POINTS; ++i )
-    {
-        // (generate all the pairs)
-        for( unsigned int j = 0; (unsigned int)j < i; ++j )
-        {
-            DescriptionPair pair = {(uchar)i,(uchar)j};
-            allPairs.push_back(pair);
-        }
-    }
-    // Input vector provided
-    if( !selectedPairs0.empty() )
-    {
-        if( (int)selectedPairs0.size() == FREAK_NB_PAIRS )
-        {
-            for( int i = 0; i < FREAK_NB_PAIRS; ++i )
-                 descriptionPairs[i] = allPairs[selectedPairs0.at(i)];
-        }
-        else
-        {
-            CV_Error(Error::StsVecLengthErr, "Input vector does not match the required size");
-        }
-    }
-    else // default selected pairs
-    {
-        for( int i = 0; i < FREAK_NB_PAIRS; ++i )
-             descriptionPairs[i] = allPairs[FREAK_DEF_PAIRS[i]];
-    }
-}
-
-void FREAK::computeImpl( InputArray _image, std::vector<KeyPoint>& keypoints, OutputArray _descriptors ) const
-{
-    Mat image = _image.getMat();
-    if( image.empty() )
-        return;
-    if( keypoints.empty() )
-        return;
-
-    ((FREAK*)this)->buildPattern();
-
-    // Convert to gray if not already
-    Mat grayImage = image;
-//    if( image.channels() > 1 )
-//        cvtColor( image, grayImage, COLOR_BGR2GRAY );
-
-    // Use 32-bit integers if we won't overflow in the integral image
-    if ((image.depth() == CV_8U || image.depth() == CV_8S) &&
-        (image.rows * image.cols) < 8388608 ) // 8388608 = 2 ^ (32 - 8(bit depth) - 1(sign bit))
-    {
-        // Create the integral image appropriate for our type & usage
-        if (image.depth() == CV_8U)
-            computeDescriptors<uchar, int>(grayImage, keypoints, _descriptors);
-        else if (image.depth() == CV_8S)
-            computeDescriptors<char, int>(grayImage, keypoints, _descriptors);
-        else
-            CV_Error( Error::StsUnsupportedFormat, "" );
-    } else {
-        // Create the integral image appropriate for our type & usage
-        if ( image.depth() == CV_8U )
-            computeDescriptors<uchar, double>(grayImage, keypoints, _descriptors);
-        else if ( image.depth() == CV_8S )
-            computeDescriptors<char, double>(grayImage, keypoints, _descriptors);
-        else if ( image.depth() == CV_16U )
-            computeDescriptors<ushort, double>(grayImage, keypoints, _descriptors);
-        else if ( image.depth() == CV_16S )
-            computeDescriptors<short, double>(grayImage, keypoints, _descriptors);
-        else
-            CV_Error( Error::StsUnsupportedFormat, "" );
-    }
-}
-
-template <typename srcMatType>
-void FREAK::extractDescriptor(srcMatType *pointsValue, void ** ptr) const
-{
-    std::bitset<FREAK_NB_PAIRS>** ptrScalar = (std::bitset<FREAK_NB_PAIRS>**) ptr;
-
-    // extracting descriptor preserving the order of SSE version
-    int cnt = 0;
-    for( int n = 7; n < FREAK_NB_PAIRS; n += 128)
-    {
-        for( int m = 8; m--; )
-        {
-            int nm = n-m;
-            for(int kk = nm+15*8; kk >= nm; kk-=8, ++cnt)
-            {
-                (*ptrScalar)->set(kk, pointsValue[descriptionPairs[cnt].i] >= pointsValue[descriptionPairs[cnt].j]);
-            }
-        }
-    }
-    --(*ptrScalar);
-}
-
-#if CV_SSE2
-template <>
-void FREAK::extractDescriptor(uchar *pointsValue, void ** ptr) const
-{
-    __m128i** ptrSSE = (__m128i**) ptr;
-
-    // note that comparisons order is modified in each block (but first 128 comparisons remain globally the same-->does not affect the 128,384 bits segmanted matching strategy)
-    int cnt = 0;
-    for( int n = FREAK_NB_PAIRS/128; n-- ; )
-    {
-        __m128i result128 = _mm_setzero_si128();
-        for( int m = 128/16; m--; cnt += 16 )
-        {
-            __m128i operand1 = _mm_set_epi8(pointsValue[descriptionPairs[cnt+0].i],
-                                            pointsValue[descriptionPairs[cnt+1].i],
-                                            pointsValue[descriptionPairs[cnt+2].i],
-                                            pointsValue[descriptionPairs[cnt+3].i],
-                                            pointsValue[descriptionPairs[cnt+4].i],
-                                            pointsValue[descriptionPairs[cnt+5].i],
-                                            pointsValue[descriptionPairs[cnt+6].i],
-                                            pointsValue[descriptionPairs[cnt+7].i],
-                                            pointsValue[descriptionPairs[cnt+8].i],
-                                            pointsValue[descriptionPairs[cnt+9].i],
-                                            pointsValue[descriptionPairs[cnt+10].i],
-                                            pointsValue[descriptionPairs[cnt+11].i],
-                                            pointsValue[descriptionPairs[cnt+12].i],
-                                            pointsValue[descriptionPairs[cnt+13].i],
-                                            pointsValue[descriptionPairs[cnt+14].i],
-                                            pointsValue[descriptionPairs[cnt+15].i]);
-
-            __m128i operand2 = _mm_set_epi8(pointsValue[descriptionPairs[cnt+0].j],
-                                            pointsValue[descriptionPairs[cnt+1].j],
-                                            pointsValue[descriptionPairs[cnt+2].j],
-                                            pointsValue[descriptionPairs[cnt+3].j],
-                                            pointsValue[descriptionPairs[cnt+4].j],
-                                            pointsValue[descriptionPairs[cnt+5].j],
-                                            pointsValue[descriptionPairs[cnt+6].j],
-                                            pointsValue[descriptionPairs[cnt+7].j],
-                                            pointsValue[descriptionPairs[cnt+8].j],
-                                            pointsValue[descriptionPairs[cnt+9].j],
-                                            pointsValue[descriptionPairs[cnt+10].j],
-                                            pointsValue[descriptionPairs[cnt+11].j],
-                                            pointsValue[descriptionPairs[cnt+12].j],
-                                            pointsValue[descriptionPairs[cnt+13].j],
-                                            pointsValue[descriptionPairs[cnt+14].j],
-                                            pointsValue[descriptionPairs[cnt+15].j]);
-
-            __m128i workReg = _mm_min_epu8(operand1, operand2); // emulated "not less than" for 8-bit UNSIGNED integers
-            workReg = _mm_cmpeq_epi8(workReg, operand2);        // emulated "not less than" for 8-bit UNSIGNED integers
-
-            workReg = _mm_and_si128(_mm_set1_epi16(short(0x8080 >> m)), workReg); // merge the last 16 bits with the 128bits std::vector until full
-            result128 = _mm_or_si128(result128, workReg);
-        }
-        (**ptrSSE) = result128;
-        ++(*ptrSSE);
-    }
-    (*ptrSSE) -= 8;
-}
-#endif
-
-template <typename srcMatType, typename iiMatType>
-void FREAK::computeDescriptors( InputArray _image, std::vector<KeyPoint>& keypoints, OutputArray _descriptors ) const {
-
-    Mat image = _image.getMat();
-    Mat imgIntegral;
-    integral(image, imgIntegral, DataType<iiMatType>::type);
-    std::vector<int> kpScaleIdx(keypoints.size()); // used to save pattern scale index corresponding to each keypoints
-    const std::vector<int>::iterator ScaleIdxBegin = kpScaleIdx.begin(); // used in std::vector erase function
-    const std::vector<cv::KeyPoint>::iterator kpBegin = keypoints.begin(); // used in std::vector erase function
-    const float sizeCst = static_cast<float>(FREAK_NB_SCALES/(FREAK_LOG2* nOctaves));
-    srcMatType pointsValue[FREAK_NB_POINTS];
-    int thetaIdx = 0;
-    int direction0;
-    int direction1;
-
-    // compute the scale index corresponding to the keypoint size and remove keypoints close to the border
-    if( scaleNormalized )
-    {
-        for( size_t k = keypoints.size(); k--; )
-        {
-            //Is k non-zero? If so, decrement it and continue"
-            kpScaleIdx[k] = std::max( (int)(std::log(keypoints[k].size/FREAK_SMALLEST_KP_SIZE)*sizeCst+0.5) ,0);
-            if( kpScaleIdx[k] >= FREAK_NB_SCALES )
-                kpScaleIdx[k] = FREAK_NB_SCALES-1;
-
-            if( keypoints[k].pt.x <= patternSizes[kpScaleIdx[k]] || //check if the description at this specific position and scale fits inside the image
-                 keypoints[k].pt.y <= patternSizes[kpScaleIdx[k]] ||
-                 keypoints[k].pt.x >= image.cols-patternSizes[kpScaleIdx[k]] ||
-                 keypoints[k].pt.y >= image.rows-patternSizes[kpScaleIdx[k]]
-               )
-            {
-                keypoints.erase(kpBegin+k);
-                kpScaleIdx.erase(ScaleIdxBegin+k);
-            }
-        }
-    }
-    else
-    {
-        const int scIdx = std::max( (int)(1.0986122886681*sizeCst+0.5) ,0);
-        for( size_t k = keypoints.size(); k--; )
-        {
-            kpScaleIdx[k] = scIdx; // equivalent to the formule when the scale is normalized with a constant size of keypoints[k].size=3*SMALLEST_KP_SIZE
-            if( kpScaleIdx[k] >= FREAK_NB_SCALES )
-            {
-                kpScaleIdx[k] = FREAK_NB_SCALES-1;
-            }
-            if( keypoints[k].pt.x <= patternSizes[kpScaleIdx[k]] ||
-                keypoints[k].pt.y <= patternSizes[kpScaleIdx[k]] ||
-                keypoints[k].pt.x >= image.cols-patternSizes[kpScaleIdx[k]] ||
-                keypoints[k].pt.y >= image.rows-patternSizes[kpScaleIdx[k]]
-               )
-            {
-                keypoints.erase(kpBegin+k);
-                kpScaleIdx.erase(ScaleIdxBegin+k);
-            }
-        }
-    }
-
-    // allocate descriptor memory, estimate orientations, extract descriptors
-    if( !extAll )
-    {
-        // extract the best comparisons only
-        _descriptors.create((int)keypoints.size(), FREAK_NB_PAIRS/8, CV_8U);
-        _descriptors.setTo(Scalar::all(0));
-        Mat descriptors = _descriptors.getMat();
-
-        void *ptr = descriptors.data+(keypoints.size()-1)*descriptors.step[0];
-
-        for( size_t k = keypoints.size(); k--; ) {
-            // estimate orientation (gradient)
-            if( !orientationNormalized )
-            {
-                thetaIdx = 0; // assign 0° to all keypoints
-                keypoints[k].angle = 0.0;
-            }
-            else
-            {
-                // get the points intensity value in the un-rotated pattern
-                for( int i = FREAK_NB_POINTS; i--; ) {
-                    pointsValue[i] = meanIntensity<srcMatType, iiMatType>(image, imgIntegral,
-                                                                          keypoints[k].pt.x, keypoints[k].pt.y,
-                                                                          kpScaleIdx[k], 0, i);
-                }
-                direction0 = 0;
-                direction1 = 0;
-                for( int m = 45; m--; )
-                {
-                    //iterate through the orientation pairs
-                    const int delta = (pointsValue[ orientationPairs[m].i ]-pointsValue[ orientationPairs[m].j ]);
-                    direction0 += delta*(orientationPairs[m].weight_dx)/2048;
-                    direction1 += delta*(orientationPairs[m].weight_dy)/2048;
-                }
-
-                keypoints[k].angle = static_cast<float>(atan2((float)direction1,(float)direction0)*(180.0/CV_PI));//estimate orientation
-                thetaIdx = int(FREAK_NB_ORIENTATION*keypoints[k].angle*(1/360.0)+0.5);
-                if( thetaIdx < 0 )
-                    thetaIdx += FREAK_NB_ORIENTATION;
-
-                if( thetaIdx >= FREAK_NB_ORIENTATION )
-                    thetaIdx -= FREAK_NB_ORIENTATION;
-            }
-            // extract descriptor at the computed orientation
-            for( int i = FREAK_NB_POINTS; i--; ) {
-                pointsValue[i] = meanIntensity<srcMatType, iiMatType>(image, imgIntegral,
-                                                                      keypoints[k].pt.x, keypoints[k].pt.y,
-                                                                      kpScaleIdx[k], thetaIdx, i);
-            }
-
-            // Extract descriptor
-            extractDescriptor<srcMatType>(pointsValue, &ptr);
-        }
-    }
-    else // extract all possible comparisons for selection
-    {
-        _descriptors.create((int)keypoints.size(), 128, CV_8U);
-        _descriptors.setTo(Scalar::all(0));
-        Mat descriptors = _descriptors.getMat();
-        std::bitset<1024>* ptr = (std::bitset<1024>*) (descriptors.data+(keypoints.size()-1)*descriptors.step[0]);
-
-        for( size_t k = keypoints.size(); k--; )
-        {
-            //estimate orientation (gradient)
-            if( !orientationNormalized )
-            {
-                thetaIdx = 0;//assign 0° to all keypoints
-                keypoints[k].angle = 0.0;
-            }
-            else
-            {
-                //get the points intensity value in the un-rotated pattern
-                for( int i = FREAK_NB_POINTS;i--; )
-                    pointsValue[i] = meanIntensity<srcMatType, iiMatType>(image, imgIntegral,
-                                                                          keypoints[k].pt.x,keypoints[k].pt.y,
-                                                                          kpScaleIdx[k], 0, i);
-
-                direction0 = 0;
-                direction1 = 0;
-                for( int m = 45; m--; )
-                {
-                    //iterate through the orientation pairs
-                    const int delta = (pointsValue[ orientationPairs[m].i ]-pointsValue[ orientationPairs[m].j ]);
-                    direction0 += delta*(orientationPairs[m].weight_dx)/2048;
-                    direction1 += delta*(orientationPairs[m].weight_dy)/2048;
-                }
-
-                keypoints[k].angle = static_cast<float>(atan2((float)direction1,(float)direction0)*(180.0/CV_PI)); //estimate orientation
-                thetaIdx = int(FREAK_NB_ORIENTATION*keypoints[k].angle*(1/360.0)+0.5);
-
-                if( thetaIdx < 0 )
-                    thetaIdx += FREAK_NB_ORIENTATION;
-
-                if( thetaIdx >= FREAK_NB_ORIENTATION )
-                    thetaIdx -= FREAK_NB_ORIENTATION;
-            }
-            // get the points intensity value in the rotated pattern
-            for( int i = FREAK_NB_POINTS; i--; ) {
-                pointsValue[i] = meanIntensity<srcMatType, iiMatType>(image, imgIntegral,
-                                                                      keypoints[k].pt.x, keypoints[k].pt.y,
-                                                                      kpScaleIdx[k], thetaIdx, i);
-            }
-
-            int cnt(0);
-            for( int i = 1; i < FREAK_NB_POINTS; ++i )
-            {
-                //(generate all the pairs)
-                for( int j = 0; j < i; ++j )
-                {
-                    ptr->set(cnt, pointsValue[i] >= pointsValue[j] );
-                    ++cnt;
-                }
-            }
-            --ptr;
-        }
-    }
-}
-
-// simply take average on a square patch, not even gaussian approx
-template <typename imgType, typename iiType>
-imgType FREAK::meanIntensity( InputArray _image, InputArray _integral,
-                              const float kp_x,
-                              const float kp_y,
-                              const unsigned int scale,
-                              const unsigned int rot,
-                              const unsigned int point) const {
-    Mat image = _image.getMat(), integral = _integral.getMat();
-    // get point position in image
-    const PatternPoint& FreakPoint = patternLookup[scale*FREAK_NB_ORIENTATION*FREAK_NB_POINTS + rot*FREAK_NB_POINTS + point];
-    const float xf = FreakPoint.x+kp_x;
-    const float yf = FreakPoint.y+kp_y;
-    const int x = int(xf);
-    const int y = int(yf);
-
-    // get the sigma:
-    const float radius = FreakPoint.sigma;
-
-    // calculate output:
-    if( radius < 0.5 )
-    {
-        // interpolation multipliers:
-        const int r_x = static_cast<int>((xf-x)*1024);
-        const int r_y = static_cast<int>((yf-y)*1024);
-        const int r_x_1 = (1024-r_x);
-        const int r_y_1 = (1024-r_y);
-        unsigned int ret_val;
-        // linear interpolation:
-        ret_val = r_x_1*r_y_1*int(image.at<imgType>(y  , x  ))
-                + r_x  *r_y_1*int(image.at<imgType>(y  , x+1))
-                + r_x_1*r_y  *int(image.at<imgType>(y+1, x  ))
-                + r_x  *r_y  *int(image.at<imgType>(y+1, x+1));
-        //return the rounded mean
-        ret_val += 2 * 1024 * 1024;
-        return static_cast<imgType>(ret_val / (4 * 1024 * 1024));
-    }
-
-    // expected case:
-
-    // calculate borders
-    const int x_left = int(xf-radius+0.5);
-    const int y_top = int(yf-radius+0.5);
-    const int x_right = int(xf+radius+1.5);//integral image is 1px wider
-    const int y_bottom = int(yf+radius+1.5);//integral image is 1px higher
-    iiType ret_val;
-
-    ret_val = integral.at<iiType>(y_bottom,x_right);//bottom right corner
-    ret_val -= integral.at<iiType>(y_bottom,x_left);
-    ret_val += integral.at<iiType>(y_top,x_left);
-    ret_val -= integral.at<iiType>(y_top,x_right);
-    ret_val = ret_val/( (x_right-x_left)* (y_bottom-y_top) );
-    //~ std::cout<<integral.step[1]<<std::endl;
-    return static_cast<imgType>(ret_val);
-}
-
-// pair selection algorithm from a set of training images and corresponding keypoints
-std::vector<int> FREAK::selectPairs(const std::vector<Mat>& images
-                                        , std::vector<std::vector<KeyPoint> >& keypoints
-                                        , const double corrTresh
-                                        , bool verbose )
-{
-    extAll = true;
-    // compute descriptors with all pairs
-    Mat descriptors;
-
-    if( verbose )
-        std::cout << "Number of images: " << images.size() << std::endl;
-
-    for( size_t i = 0;i < images.size(); ++i )
-    {
-        Mat descriptorsTmp;
-        computeImpl(images[i],keypoints[i],descriptorsTmp);
-        descriptors.push_back(descriptorsTmp);
-    }
-
-    if( verbose )
-        std::cout << "number of keypoints: " << descriptors.rows << std::endl;
-
-    //descriptor in floating point format (each bit is a float)
-    Mat descriptorsFloat = Mat::zeros(descriptors.rows, 903, CV_32F);
-
-    std::bitset<1024>* ptr = (std::bitset<1024>*) (descriptors.data+(descriptors.rows-1)*descriptors.step[0]);
-    for( int m = descriptors.rows; m--; )
-    {
-        for( int n = 903; n--; )
-        {
-            if( ptr->test(n) == true )
-                descriptorsFloat.at<float>(m,n)=1.0f;
-        }
-        --ptr;
-    }
-
-    std::vector<PairStat> pairStat;
-    for( int n = 903; n--; )
-    {
-        // the higher the variance, the better --> mean = 0.5
-        PairStat tmp = { fabs( mean(descriptorsFloat.col(n))[0]-0.5 ) ,n};
-        pairStat.push_back(tmp);
-    }
-
-    std::sort( pairStat.begin(),pairStat.end(), sortMean() );
-
-    std::vector<PairStat> bestPairs;
-    for( int m = 0; m < 903; ++m )
-    {
-        if( verbose )
-            std::cout << m << ":" << bestPairs.size() << " " << std::flush;
-        double corrMax(0);
-
-        for( size_t n = 0; n < bestPairs.size(); ++n )
-        {
-            int idxA = bestPairs[n].idx;
-            int idxB = pairStat[m].idx;
-            double corr(0);
-            // compute correlation between 2 pairs
-            corr = fabs(compareHist(descriptorsFloat.col(idxA), descriptorsFloat.col(idxB), HISTCMP_CORREL));
-
-            if( corr > corrMax )
-            {
-                corrMax = corr;
-                if( corrMax >= corrTresh )
-                    break;
-            }
-        }
-
-        if( corrMax < corrTresh/*0.7*/ )
-            bestPairs.push_back(pairStat[m]);
-
-        if( bestPairs.size() >= 512 )
-        {
-            if( verbose )
-                std::cout << m << std::endl;
-            break;
-        }
-    }
-
-    std::vector<int> idxBestPairs;
-    if( (int)bestPairs.size() >= FREAK_NB_PAIRS )
-    {
-        for( int i = 0; i < FREAK_NB_PAIRS; ++i )
-            idxBestPairs.push_back(bestPairs[i].idx);
-    }
-    else
-    {
-        if( verbose )
-            std::cout << "correlation threshold too small (restrictive)" << std::endl;
-        CV_Error(Error::StsError, "correlation threshold too small (restrictive)");
-    }
-    extAll = false;
-    return idxBestPairs;
-}
-
-
-/*
-// create an image showing the brisk pattern
-void FREAKImpl::drawPattern()
-{
-    Mat pattern = Mat::zeros(1000, 1000, CV_8UC3) + Scalar(255,255,255);
-    int sFac = 500 / patternScale;
-    for( int n = 0; n < kNB_POINTS; ++n )
-    {
-        PatternPoint& pt = patternLookup[n];
-        circle(pattern, Point( pt.x*sFac,pt.y*sFac)+Point(500,500), pt.sigma*sFac, Scalar(0,0,255),2);
-        // rectangle(pattern, Point( (pt.x-pt.sigma)*sFac,(pt.y-pt.sigma)*sFac)+Point(500,500), Point( (pt.x+pt.sigma)*sFac,(pt.y+pt.sigma)*sFac)+Point(500,500), Scalar(0,0,255),2);
-
-        circle(pattern, Point( pt.x*sFac,pt.y*sFac)+Point(500,500), 1, Scalar(0,0,0),3);
-        std::ostringstream oss;
-        oss << n;
-        putText( pattern, oss.str(), Point( pt.x*sFac,pt.y*sFac)+Point(500,500), FONT_HERSHEY_SIMPLEX,0.5, Scalar(0,0,0), 1);
-    }
-    imshow( "FreakDescriptorExtractor pattern", pattern );
-    waitKey(0);
-}
-*/
-
-// -------------------------------------------------
-/* FREAK interface implementation */
-FREAK::FREAK( bool _orientationNormalized, bool _scaleNormalized
-            , float _patternScale, int _nOctaves, const std::vector<int>& _selectedPairs )
-    : orientationNormalized(_orientationNormalized), scaleNormalized(_scaleNormalized),
-    patternScale(_patternScale), nOctaves(_nOctaves), extAll(false), nOctaves0(0), selectedPairs0(_selectedPairs)
-{
-}
-
-FREAK::~FREAK()
-{
-}
-
-int FREAK::descriptorSize() const
-{
-    return FREAK_NB_PAIRS / 8; // descriptor length in bytes
-}
-
-int FREAK::descriptorType() const
-{
-    return CV_8U;
-}
-
-int FREAK::defaultNorm() const
-{
-    return NORM_HAMMING;
-}
-
-} // END NAMESPACE CV
diff --git a/modules/features2d/src/generated_16.i b/modules/features2d/src/generated_16.i
deleted file mode 100644
index b85bf06d9e..0000000000
--- a/modules/features2d/src/generated_16.i
+++ /dev/null
@@ -1,19 +0,0 @@
-// Code generated with '$ scripts/generate_code.py src/test_pairs.txt 16'
-#define SMOOTHED(y,x) smoothedSum(sum, pt, y, x)
-    desc[0] = (uchar)(((SMOOTHED(-2, -1) < SMOOTHED(7, -1)) << 7) + ((SMOOTHED(-14, -1) < SMOOTHED(-3, 3)) << 6) + ((SMOOTHED(1, -2) < SMOOTHED(11, 2)) << 5) + ((SMOOTHED(1, 6) < SMOOTHED(-10, -7)) << 4) + ((SMOOTHED(13, 2) < SMOOTHED(-1, 0)) << 3) + ((SMOOTHED(-14, 5) < SMOOTHED(5, -3)) << 2) + ((SMOOTHED(-2, 8) < SMOOTHED(2, 4)) << 1) + ((SMOOTHED(-11, 8) < SMOOTHED(-15, 5)) << 0));
-    desc[1] = (uchar)(((SMOOTHED(-6, -23) < SMOOTHED(8, -9)) << 7) + ((SMOOTHED(-12, 6) < SMOOTHED(-10, 8)) << 6) + ((SMOOTHED(-3, -1) < SMOOTHED(8, 1)) << 5) + ((SMOOTHED(3, 6) < SMOOTHED(5, 6)) << 4) + ((SMOOTHED(-7, -6) < SMOOTHED(5, -5)) << 3) + ((SMOOTHED(22, -2) < SMOOTHED(-11, -8)) << 2) + ((SMOOTHED(14, 7) < SMOOTHED(8, 5)) << 1) + ((SMOOTHED(-1, 14) < SMOOTHED(-5, -14)) << 0));
-    desc[2] = (uchar)(((SMOOTHED(-14, 9) < SMOOTHED(2, 0)) << 7) + ((SMOOTHED(7, -3) < SMOOTHED(22, 6)) << 6) + ((SMOOTHED(-6, 6) < SMOOTHED(-8, -5)) << 5) + ((SMOOTHED(-5, 9) < SMOOTHED(7, -1)) << 4) + ((SMOOTHED(-3, -7) < SMOOTHED(-10, -18)) << 3) + ((SMOOTHED(4, -5) < SMOOTHED(0, 11)) << 2) + ((SMOOTHED(2, 3) < SMOOTHED(9, 10)) << 1) + ((SMOOTHED(-10, 3) < SMOOTHED(4, 9)) << 0));
-    desc[3] = (uchar)(((SMOOTHED(0, 12) < SMOOTHED(-3, 19)) << 7) + ((SMOOTHED(1, 15) < SMOOTHED(-11, -5)) << 6) + ((SMOOTHED(14, -1) < SMOOTHED(7, 8)) << 5) + ((SMOOTHED(7, -23) < SMOOTHED(-5, 5)) << 4) + ((SMOOTHED(0, -6) < SMOOTHED(-10, 17)) << 3) + ((SMOOTHED(13, -4) < SMOOTHED(-3, -4)) << 2) + ((SMOOTHED(-12, 1) < SMOOTHED(-12, 2)) << 1) + ((SMOOTHED(0, 8) < SMOOTHED(3, 22)) << 0));
-    desc[4] = (uchar)(((SMOOTHED(-13, 13) < SMOOTHED(3, -1)) << 7) + ((SMOOTHED(-16, 17) < SMOOTHED(6, 10)) << 6) + ((SMOOTHED(7, 15) < SMOOTHED(-5, 0)) << 5) + ((SMOOTHED(2, -12) < SMOOTHED(19, -2)) << 4) + ((SMOOTHED(3, -6) < SMOOTHED(-4, -15)) << 3) + ((SMOOTHED(8, 3) < SMOOTHED(0, 14)) << 2) + ((SMOOTHED(4, -11) < SMOOTHED(5, 5)) << 1) + ((SMOOTHED(11, -7) < SMOOTHED(7, 1)) << 0));
-    desc[5] = (uchar)(((SMOOTHED(6, 12) < SMOOTHED(21, 3)) << 7) + ((SMOOTHED(-3, 2) < SMOOTHED(14, 1)) << 6) + ((SMOOTHED(5, 1) < SMOOTHED(-5, 11)) << 5) + ((SMOOTHED(3, -17) < SMOOTHED(-6, 2)) << 4) + ((SMOOTHED(6, 8) < SMOOTHED(5, -10)) << 3) + ((SMOOTHED(-14, -2) < SMOOTHED(0, 4)) << 2) + ((SMOOTHED(5, -7) < SMOOTHED(-6, 5)) << 1) + ((SMOOTHED(10, 4) < SMOOTHED(4, -7)) << 0));
-    desc[6] = (uchar)(((SMOOTHED(22, 0) < SMOOTHED(7, -18)) << 7) + ((SMOOTHED(-1, -3) < SMOOTHED(0, 18)) << 6) + ((SMOOTHED(-4, 22) < SMOOTHED(-5, 3)) << 5) + ((SMOOTHED(1, -7) < SMOOTHED(2, -3)) << 4) + ((SMOOTHED(19, -20) < SMOOTHED(17, -2)) << 3) + ((SMOOTHED(3, -10) < SMOOTHED(-8, 24)) << 2) + ((SMOOTHED(-5, -14) < SMOOTHED(7, 5)) << 1) + ((SMOOTHED(-2, 12) < SMOOTHED(-4, -15)) << 0));
-    desc[7] = (uchar)(((SMOOTHED(4, 12) < SMOOTHED(0, -19)) << 7) + ((SMOOTHED(20, 13) < SMOOTHED(3, 5)) << 6) + ((SMOOTHED(-8, -12) < SMOOTHED(5, 0)) << 5) + ((SMOOTHED(-5, 6) < SMOOTHED(-7, -11)) << 4) + ((SMOOTHED(6, -11) < SMOOTHED(-3, -22)) << 3) + ((SMOOTHED(15, 4) < SMOOTHED(10, 1)) << 2) + ((SMOOTHED(-7, -4) < SMOOTHED(15, -6)) << 1) + ((SMOOTHED(5, 10) < SMOOTHED(0, 24)) << 0));
-    desc[8] = (uchar)(((SMOOTHED(3, 6) < SMOOTHED(22, -2)) << 7) + ((SMOOTHED(-13, 14) < SMOOTHED(4, -4)) << 6) + ((SMOOTHED(-13, 8) < SMOOTHED(-18, -22)) << 5) + ((SMOOTHED(-1, -1) < SMOOTHED(-7, 3)) << 4) + ((SMOOTHED(-19, -12) < SMOOTHED(4, 3)) << 3) + ((SMOOTHED(8, 10) < SMOOTHED(13, -2)) << 2) + ((SMOOTHED(-6, -1) < SMOOTHED(-6, -5)) << 1) + ((SMOOTHED(2, -21) < SMOOTHED(-3, 2)) << 0));
-    desc[9] = (uchar)(((SMOOTHED(4, -7) < SMOOTHED(0, 16)) << 7) + ((SMOOTHED(-6, -5) < SMOOTHED(-12, -1)) << 6) + ((SMOOTHED(1, -1) < SMOOTHED(9, 18)) << 5) + ((SMOOTHED(-7, 10) < SMOOTHED(-11, 6)) << 4) + ((SMOOTHED(4, 3) < SMOOTHED(19, -7)) << 3) + ((SMOOTHED(-18, 5) < SMOOTHED(-4, 5)) << 2) + ((SMOOTHED(4, 0) < SMOOTHED(-20, 4)) << 1) + ((SMOOTHED(7, -11) < SMOOTHED(18, 12)) << 0));
-    desc[10] = (uchar)(((SMOOTHED(-20, 17) < SMOOTHED(-18, 7)) << 7) + ((SMOOTHED(2, 15) < SMOOTHED(19, -11)) << 6) + ((SMOOTHED(-18, 6) < SMOOTHED(-7, 3)) << 5) + ((SMOOTHED(-4, 1) < SMOOTHED(-14, 13)) << 4) + ((SMOOTHED(17, 3) < SMOOTHED(2, -8)) << 3) + ((SMOOTHED(-7, 2) < SMOOTHED(1, 6)) << 2) + ((SMOOTHED(17, -9) < SMOOTHED(-2, 8)) << 1) + ((SMOOTHED(-8, -6) < SMOOTHED(-1, 12)) << 0));
-    desc[11] = (uchar)(((SMOOTHED(-2, 4) < SMOOTHED(-1, 6)) << 7) + ((SMOOTHED(-2, 7) < SMOOTHED(6, 8)) << 6) + ((SMOOTHED(-8, -1) < SMOOTHED(-7, -9)) << 5) + ((SMOOTHED(8, -9) < SMOOTHED(15, 0)) << 4) + ((SMOOTHED(0, 22) < SMOOTHED(-4, -15)) << 3) + ((SMOOTHED(-14, -1) < SMOOTHED(3, -2)) << 2) + ((SMOOTHED(-7, -4) < SMOOTHED(17, -7)) << 1) + ((SMOOTHED(-8, -2) < SMOOTHED(9, -4)) << 0));
-    desc[12] = (uchar)(((SMOOTHED(5, -7) < SMOOTHED(7, 7)) << 7) + ((SMOOTHED(-5, 13) < SMOOTHED(-8, 11)) << 6) + ((SMOOTHED(11, -4) < SMOOTHED(0, 8)) << 5) + ((SMOOTHED(5, -11) < SMOOTHED(-9, -6)) << 4) + ((SMOOTHED(2, -6) < SMOOTHED(3, -20)) << 3) + ((SMOOTHED(-6, 2) < SMOOTHED(6, 10)) << 2) + ((SMOOTHED(-6, -6) < SMOOTHED(-15, 7)) << 1) + ((SMOOTHED(-6, -3) < SMOOTHED(2, 1)) << 0));
-    desc[13] = (uchar)(((SMOOTHED(11, 0) < SMOOTHED(-3, 2)) << 7) + ((SMOOTHED(7, -12) < SMOOTHED(14, 5)) << 6) + ((SMOOTHED(0, -7) < SMOOTHED(-1, -1)) << 5) + ((SMOOTHED(-16, 0) < SMOOTHED(6, 8)) << 4) + ((SMOOTHED(22, 11) < SMOOTHED(0, -3)) << 3) + ((SMOOTHED(19, 0) < SMOOTHED(5, -17)) << 2) + ((SMOOTHED(-23, -14) < SMOOTHED(-13, -19)) << 1) + ((SMOOTHED(-8, 10) < SMOOTHED(-11, -2)) << 0));
-    desc[14] = (uchar)(((SMOOTHED(-11, 6) < SMOOTHED(-10, 13)) << 7) + ((SMOOTHED(1, -7) < SMOOTHED(14, 0)) << 6) + ((SMOOTHED(-12, 1) < SMOOTHED(-5, -5)) << 5) + ((SMOOTHED(4, 7) < SMOOTHED(8, -1)) << 4) + ((SMOOTHED(-1, -5) < SMOOTHED(15, 2)) << 3) + ((SMOOTHED(-3, -1) < SMOOTHED(7, -10)) << 2) + ((SMOOTHED(3, -6) < SMOOTHED(10, -18)) << 1) + ((SMOOTHED(-7, -13) < SMOOTHED(-13, 10)) << 0));
-    desc[15] = (uchar)(((SMOOTHED(1, -1) < SMOOTHED(13, -10)) << 7) + ((SMOOTHED(-19, 14) < SMOOTHED(8, -14)) << 6) + ((SMOOTHED(-4, -13) < SMOOTHED(7, 1)) << 5) + ((SMOOTHED(1, -2) < SMOOTHED(12, -7)) << 4) + ((SMOOTHED(3, -5) < SMOOTHED(1, -5)) << 3) + ((SMOOTHED(-2, -2) < SMOOTHED(8, -10)) << 2) + ((SMOOTHED(2, 14) < SMOOTHED(8, 7)) << 1) + ((SMOOTHED(3, 9) < SMOOTHED(8, 2)) << 0));
-#undef SMOOTHED
diff --git a/modules/features2d/src/generated_32.i b/modules/features2d/src/generated_32.i
deleted file mode 100644
index 19952d2f75..0000000000
--- a/modules/features2d/src/generated_32.i
+++ /dev/null
@@ -1,35 +0,0 @@
-// Code generated with '$ scripts/generate_code.py src/test_pairs.txt 32'
-#define SMOOTHED(y,x) smoothedSum(sum, pt, y, x)
-    desc[0] = (uchar)(((SMOOTHED(-2, -1) < SMOOTHED(7, -1)) << 7) + ((SMOOTHED(-14, -1) < SMOOTHED(-3, 3)) << 6) + ((SMOOTHED(1, -2) < SMOOTHED(11, 2)) << 5) + ((SMOOTHED(1, 6) < SMOOTHED(-10, -7)) << 4) + ((SMOOTHED(13, 2) < SMOOTHED(-1, 0)) << 3) + ((SMOOTHED(-14, 5) < SMOOTHED(5, -3)) << 2) + ((SMOOTHED(-2, 8) < SMOOTHED(2, 4)) << 1) + ((SMOOTHED(-11, 8) < SMOOTHED(-15, 5)) << 0));
-    desc[1] = (uchar)(((SMOOTHED(-6, -23) < SMOOTHED(8, -9)) << 7) + ((SMOOTHED(-12, 6) < SMOOTHED(-10, 8)) << 6) + ((SMOOTHED(-3, -1) < SMOOTHED(8, 1)) << 5) + ((SMOOTHED(3, 6) < SMOOTHED(5, 6)) << 4) + ((SMOOTHED(-7, -6) < SMOOTHED(5, -5)) << 3) + ((SMOOTHED(22, -2) < SMOOTHED(-11, -8)) << 2) + ((SMOOTHED(14, 7) < SMOOTHED(8, 5)) << 1) + ((SMOOTHED(-1, 14) < SMOOTHED(-5, -14)) << 0));
-    desc[2] = (uchar)(((SMOOTHED(-14, 9) < SMOOTHED(2, 0)) << 7) + ((SMOOTHED(7, -3) < SMOOTHED(22, 6)) << 6) + ((SMOOTHED(-6, 6) < SMOOTHED(-8, -5)) << 5) + ((SMOOTHED(-5, 9) < SMOOTHED(7, -1)) << 4) + ((SMOOTHED(-3, -7) < SMOOTHED(-10, -18)) << 3) + ((SMOOTHED(4, -5) < SMOOTHED(0, 11)) << 2) + ((SMOOTHED(2, 3) < SMOOTHED(9, 10)) << 1) + ((SMOOTHED(-10, 3) < SMOOTHED(4, 9)) << 0));
-    desc[3] = (uchar)(((SMOOTHED(0, 12) < SMOOTHED(-3, 19)) << 7) + ((SMOOTHED(1, 15) < SMOOTHED(-11, -5)) << 6) + ((SMOOTHED(14, -1) < SMOOTHED(7, 8)) << 5) + ((SMOOTHED(7, -23) < SMOOTHED(-5, 5)) << 4) + ((SMOOTHED(0, -6) < SMOOTHED(-10, 17)) << 3) + ((SMOOTHED(13, -4) < SMOOTHED(-3, -4)) << 2) + ((SMOOTHED(-12, 1) < SMOOTHED(-12, 2)) << 1) + ((SMOOTHED(0, 8) < SMOOTHED(3, 22)) << 0));
-    desc[4] = (uchar)(((SMOOTHED(-13, 13) < SMOOTHED(3, -1)) << 7) + ((SMOOTHED(-16, 17) < SMOOTHED(6, 10)) << 6) + ((SMOOTHED(7, 15) < SMOOTHED(-5, 0)) << 5) + ((SMOOTHED(2, -12) < SMOOTHED(19, -2)) << 4) + ((SMOOTHED(3, -6) < SMOOTHED(-4, -15)) << 3) + ((SMOOTHED(8, 3) < SMOOTHED(0, 14)) << 2) + ((SMOOTHED(4, -11) < SMOOTHED(5, 5)) << 1) + ((SMOOTHED(11, -7) < SMOOTHED(7, 1)) << 0));
-    desc[5] = (uchar)(((SMOOTHED(6, 12) < SMOOTHED(21, 3)) << 7) + ((SMOOTHED(-3, 2) < SMOOTHED(14, 1)) << 6) + ((SMOOTHED(5, 1) < SMOOTHED(-5, 11)) << 5) + ((SMOOTHED(3, -17) < SMOOTHED(-6, 2)) << 4) + ((SMOOTHED(6, 8) < SMOOTHED(5, -10)) << 3) + ((SMOOTHED(-14, -2) < SMOOTHED(0, 4)) << 2) + ((SMOOTHED(5, -7) < SMOOTHED(-6, 5)) << 1) + ((SMOOTHED(10, 4) < SMOOTHED(4, -7)) << 0));
-    desc[6] = (uchar)(((SMOOTHED(22, 0) < SMOOTHED(7, -18)) << 7) + ((SMOOTHED(-1, -3) < SMOOTHED(0, 18)) << 6) + ((SMOOTHED(-4, 22) < SMOOTHED(-5, 3)) << 5) + ((SMOOTHED(1, -7) < SMOOTHED(2, -3)) << 4) + ((SMOOTHED(19, -20) < SMOOTHED(17, -2)) << 3) + ((SMOOTHED(3, -10) < SMOOTHED(-8, 24)) << 2) + ((SMOOTHED(-5, -14) < SMOOTHED(7, 5)) << 1) + ((SMOOTHED(-2, 12) < SMOOTHED(-4, -15)) << 0));
-    desc[7] = (uchar)(((SMOOTHED(4, 12) < SMOOTHED(0, -19)) << 7) + ((SMOOTHED(20, 13) < SMOOTHED(3, 5)) << 6) + ((SMOOTHED(-8, -12) < SMOOTHED(5, 0)) << 5) + ((SMOOTHED(-5, 6) < SMOOTHED(-7, -11)) << 4) + ((SMOOTHED(6, -11) < SMOOTHED(-3, -22)) << 3) + ((SMOOTHED(15, 4) < SMOOTHED(10, 1)) << 2) + ((SMOOTHED(-7, -4) < SMOOTHED(15, -6)) << 1) + ((SMOOTHED(5, 10) < SMOOTHED(0, 24)) << 0));
-    desc[8] = (uchar)(((SMOOTHED(3, 6) < SMOOTHED(22, -2)) << 7) + ((SMOOTHED(-13, 14) < SMOOTHED(4, -4)) << 6) + ((SMOOTHED(-13, 8) < SMOOTHED(-18, -22)) << 5) + ((SMOOTHED(-1, -1) < SMOOTHED(-7, 3)) << 4) + ((SMOOTHED(-19, -12) < SMOOTHED(4, 3)) << 3) + ((SMOOTHED(8, 10) < SMOOTHED(13, -2)) << 2) + ((SMOOTHED(-6, -1) < SMOOTHED(-6, -5)) << 1) + ((SMOOTHED(2, -21) < SMOOTHED(-3, 2)) << 0));
-    desc[9] = (uchar)(((SMOOTHED(4, -7) < SMOOTHED(0, 16)) << 7) + ((SMOOTHED(-6, -5) < SMOOTHED(-12, -1)) << 6) + ((SMOOTHED(1, -1) < SMOOTHED(9, 18)) << 5) + ((SMOOTHED(-7, 10) < SMOOTHED(-11, 6)) << 4) + ((SMOOTHED(4, 3) < SMOOTHED(19, -7)) << 3) + ((SMOOTHED(-18, 5) < SMOOTHED(-4, 5)) << 2) + ((SMOOTHED(4, 0) < SMOOTHED(-20, 4)) << 1) + ((SMOOTHED(7, -11) < SMOOTHED(18, 12)) << 0));
-    desc[10] = (uchar)(((SMOOTHED(-20, 17) < SMOOTHED(-18, 7)) << 7) + ((SMOOTHED(2, 15) < SMOOTHED(19, -11)) << 6) + ((SMOOTHED(-18, 6) < SMOOTHED(-7, 3)) << 5) + ((SMOOTHED(-4, 1) < SMOOTHED(-14, 13)) << 4) + ((SMOOTHED(17, 3) < SMOOTHED(2, -8)) << 3) + ((SMOOTHED(-7, 2) < SMOOTHED(1, 6)) << 2) + ((SMOOTHED(17, -9) < SMOOTHED(-2, 8)) << 1) + ((SMOOTHED(-8, -6) < SMOOTHED(-1, 12)) << 0));
-    desc[11] = (uchar)(((SMOOTHED(-2, 4) < SMOOTHED(-1, 6)) << 7) + ((SMOOTHED(-2, 7) < SMOOTHED(6, 8)) << 6) + ((SMOOTHED(-8, -1) < SMOOTHED(-7, -9)) << 5) + ((SMOOTHED(8, -9) < SMOOTHED(15, 0)) << 4) + ((SMOOTHED(0, 22) < SMOOTHED(-4, -15)) << 3) + ((SMOOTHED(-14, -1) < SMOOTHED(3, -2)) << 2) + ((SMOOTHED(-7, -4) < SMOOTHED(17, -7)) << 1) + ((SMOOTHED(-8, -2) < SMOOTHED(9, -4)) << 0));
-    desc[12] = (uchar)(((SMOOTHED(5, -7) < SMOOTHED(7, 7)) << 7) + ((SMOOTHED(-5, 13) < SMOOTHED(-8, 11)) << 6) + ((SMOOTHED(11, -4) < SMOOTHED(0, 8)) << 5) + ((SMOOTHED(5, -11) < SMOOTHED(-9, -6)) << 4) + ((SMOOTHED(2, -6) < SMOOTHED(3, -20)) << 3) + ((SMOOTHED(-6, 2) < SMOOTHED(6, 10)) << 2) + ((SMOOTHED(-6, -6) < SMOOTHED(-15, 7)) << 1) + ((SMOOTHED(-6, -3) < SMOOTHED(2, 1)) << 0));
-    desc[13] = (uchar)(((SMOOTHED(11, 0) < SMOOTHED(-3, 2)) << 7) + ((SMOOTHED(7, -12) < SMOOTHED(14, 5)) << 6) + ((SMOOTHED(0, -7) < SMOOTHED(-1, -1)) << 5) + ((SMOOTHED(-16, 0) < SMOOTHED(6, 8)) << 4) + ((SMOOTHED(22, 11) < SMOOTHED(0, -3)) << 3) + ((SMOOTHED(19, 0) < SMOOTHED(5, -17)) << 2) + ((SMOOTHED(-23, -14) < SMOOTHED(-13, -19)) << 1) + ((SMOOTHED(-8, 10) < SMOOTHED(-11, -2)) << 0));
-    desc[14] = (uchar)(((SMOOTHED(-11, 6) < SMOOTHED(-10, 13)) << 7) + ((SMOOTHED(1, -7) < SMOOTHED(14, 0)) << 6) + ((SMOOTHED(-12, 1) < SMOOTHED(-5, -5)) << 5) + ((SMOOTHED(4, 7) < SMOOTHED(8, -1)) << 4) + ((SMOOTHED(-1, -5) < SMOOTHED(15, 2)) << 3) + ((SMOOTHED(-3, -1) < SMOOTHED(7, -10)) << 2) + ((SMOOTHED(3, -6) < SMOOTHED(10, -18)) << 1) + ((SMOOTHED(-7, -13) < SMOOTHED(-13, 10)) << 0));
-    desc[15] = (uchar)(((SMOOTHED(1, -1) < SMOOTHED(13, -10)) << 7) + ((SMOOTHED(-19, 14) < SMOOTHED(8, -14)) << 6) + ((SMOOTHED(-4, -13) < SMOOTHED(7, 1)) << 5) + ((SMOOTHED(1, -2) < SMOOTHED(12, -7)) << 4) + ((SMOOTHED(3, -5) < SMOOTHED(1, -5)) << 3) + ((SMOOTHED(-2, -2) < SMOOTHED(8, -10)) << 2) + ((SMOOTHED(2, 14) < SMOOTHED(8, 7)) << 1) + ((SMOOTHED(3, 9) < SMOOTHED(8, 2)) << 0));
-    desc[16] = (uchar)(((SMOOTHED(-9, 1) < SMOOTHED(-18, 0)) << 7) + ((SMOOTHED(4, 0) < SMOOTHED(1, 12)) << 6) + ((SMOOTHED(0, 9) < SMOOTHED(-14, -10)) << 5) + ((SMOOTHED(-13, -9) < SMOOTHED(-2, 6)) << 4) + ((SMOOTHED(1, 5) < SMOOTHED(10, 10)) << 3) + ((SMOOTHED(-3, -6) < SMOOTHED(-16, -5)) << 2) + ((SMOOTHED(11, 6) < SMOOTHED(-5, 0)) << 1) + ((SMOOTHED(-23, 10) < SMOOTHED(1, 2)) << 0));
-    desc[17] = (uchar)(((SMOOTHED(13, -5) < SMOOTHED(-3, 9)) << 7) + ((SMOOTHED(-4, -1) < SMOOTHED(-13, -5)) << 6) + ((SMOOTHED(10, 13) < SMOOTHED(-11, 8)) << 5) + ((SMOOTHED(19, 20) < SMOOTHED(-9, 2)) << 4) + ((SMOOTHED(4, -8) < SMOOTHED(0, -9)) << 3) + ((SMOOTHED(-14, 10) < SMOOTHED(15, 19)) << 2) + ((SMOOTHED(-14, -12) < SMOOTHED(-10, -3)) << 1) + ((SMOOTHED(-23, -3) < SMOOTHED(17, -2)) << 0));
-    desc[18] = (uchar)(((SMOOTHED(-3, -11) < SMOOTHED(6, -14)) << 7) + ((SMOOTHED(19, -2) < SMOOTHED(-4, 2)) << 6) + ((SMOOTHED(-5, 5) < SMOOTHED(3, -13)) << 5) + ((SMOOTHED(2, -2) < SMOOTHED(-5, 4)) << 4) + ((SMOOTHED(17, 4) < SMOOTHED(17, -11)) << 3) + ((SMOOTHED(-7, -2) < SMOOTHED(1, 23)) << 2) + ((SMOOTHED(8, 13) < SMOOTHED(1, -16)) << 1) + ((SMOOTHED(-13, -5) < SMOOTHED(1, -17)) << 0));
-    desc[19] = (uchar)(((SMOOTHED(4, 6) < SMOOTHED(-8, -3)) << 7) + ((SMOOTHED(-5, -9) < SMOOTHED(-2, -10)) << 6) + ((SMOOTHED(-9, 0) < SMOOTHED(-7, -2)) << 5) + ((SMOOTHED(5, 0) < SMOOTHED(5, 2)) << 4) + ((SMOOTHED(-4, -16) < SMOOTHED(6, 3)) << 3) + ((SMOOTHED(2, -15) < SMOOTHED(-2, 12)) << 2) + ((SMOOTHED(4, -1) < SMOOTHED(6, 2)) << 1) + ((SMOOTHED(1, 1) < SMOOTHED(-2, -8)) << 0));
-    desc[20] = (uchar)(((SMOOTHED(-2, 12) < SMOOTHED(-5, -2)) << 7) + ((SMOOTHED(-8, 8) < SMOOTHED(-9, 9)) << 6) + ((SMOOTHED(2, -10) < SMOOTHED(3, 1)) << 5) + ((SMOOTHED(-4, 10) < SMOOTHED(-9, 4)) << 4) + ((SMOOTHED(6, 12) < SMOOTHED(2, 5)) << 3) + ((SMOOTHED(-3, -8) < SMOOTHED(0, 5)) << 2) + ((SMOOTHED(-13, 1) < SMOOTHED(-7, 2)) << 1) + ((SMOOTHED(-1, -10) < SMOOTHED(7, -18)) << 0));
-    desc[21] = (uchar)(((SMOOTHED(-1, 8) < SMOOTHED(-9, -10)) << 7) + ((SMOOTHED(-23, -1) < SMOOTHED(6, 2)) << 6) + ((SMOOTHED(-5, -3) < SMOOTHED(3, 2)) << 5) + ((SMOOTHED(0, 11) < SMOOTHED(-4, -7)) << 4) + ((SMOOTHED(15, 2) < SMOOTHED(-10, -3)) << 3) + ((SMOOTHED(-20, -8) < SMOOTHED(-13, 3)) << 2) + ((SMOOTHED(-19, -12) < SMOOTHED(5, -11)) << 1) + ((SMOOTHED(-17, -13) < SMOOTHED(-3, 2)) << 0));
-    desc[22] = (uchar)(((SMOOTHED(7, 4) < SMOOTHED(-12, 0)) << 7) + ((SMOOTHED(5, -1) < SMOOTHED(-14, -6)) << 6) + ((SMOOTHED(-4, 11) < SMOOTHED(0, -4)) << 5) + ((SMOOTHED(3, 10) < SMOOTHED(7, -3)) << 4) + ((SMOOTHED(13, 21) < SMOOTHED(-11, 6)) << 3) + ((SMOOTHED(-12, 24) < SMOOTHED(-7, -4)) << 2) + ((SMOOTHED(4, 16) < SMOOTHED(3, -14)) << 1) + ((SMOOTHED(-3, 5) < SMOOTHED(-7, -12)) << 0));
-    desc[23] = (uchar)(((SMOOTHED(0, -4) < SMOOTHED(7, -5)) << 7) + ((SMOOTHED(-17, -9) < SMOOTHED(13, -7)) << 6) + ((SMOOTHED(22, -6) < SMOOTHED(-11, 5)) << 5) + ((SMOOTHED(2, -8) < SMOOTHED(23, -11)) << 4) + ((SMOOTHED(7, -10) < SMOOTHED(-1, 14)) << 3) + ((SMOOTHED(-3, -10) < SMOOTHED(8, 3)) << 2) + ((SMOOTHED(-13, 1) < SMOOTHED(-6, 0)) << 1) + ((SMOOTHED(-7, -21) < SMOOTHED(6, -14)) << 0));
-    desc[24] = (uchar)(((SMOOTHED(18, 19) < SMOOTHED(-4, -6)) << 7) + ((SMOOTHED(10, 7) < SMOOTHED(-1, -4)) << 6) + ((SMOOTHED(-1, 21) < SMOOTHED(1, -5)) << 5) + ((SMOOTHED(-10, 6) < SMOOTHED(-11, -2)) << 4) + ((SMOOTHED(18, -3) < SMOOTHED(-1, 7)) << 3) + ((SMOOTHED(-3, -9) < SMOOTHED(-5, 10)) << 2) + ((SMOOTHED(-13, 14) < SMOOTHED(17, -3)) << 1) + ((SMOOTHED(11, -19) < SMOOTHED(-1, -18)) << 0));
-    desc[25] = (uchar)(((SMOOTHED(8, -2) < SMOOTHED(-18, -23)) << 7) + ((SMOOTHED(0, -5) < SMOOTHED(-2, -9)) << 6) + ((SMOOTHED(-4, -11) < SMOOTHED(2, -8)) << 5) + ((SMOOTHED(14, 6) < SMOOTHED(-3, -6)) << 4) + ((SMOOTHED(-3, 0) < SMOOTHED(-15, 0)) << 3) + ((SMOOTHED(-9, 4) < SMOOTHED(-15, -9)) << 2) + ((SMOOTHED(-1, 11) < SMOOTHED(3, 11)) << 1) + ((SMOOTHED(-10, -16) < SMOOTHED(-7, 7)) << 0));
-    desc[26] = (uchar)(((SMOOTHED(-2, -10) < SMOOTHED(-10, -2)) << 7) + ((SMOOTHED(-5, -3) < SMOOTHED(5, -23)) << 6) + ((SMOOTHED(13, -8) < SMOOTHED(-15, -11)) << 5) + ((SMOOTHED(-15, 11) < SMOOTHED(6, -6)) << 4) + ((SMOOTHED(-16, -3) < SMOOTHED(-2, 2)) << 3) + ((SMOOTHED(6, 12) < SMOOTHED(-16, 24)) << 2) + ((SMOOTHED(-10, 0) < SMOOTHED(8, 11)) << 1) + ((SMOOTHED(-7, 7) < SMOOTHED(-19, -7)) << 0));
-    desc[27] = (uchar)(((SMOOTHED(5, 16) < SMOOTHED(9, -3)) << 7) + ((SMOOTHED(9, 7) < SMOOTHED(-7, -16)) << 6) + ((SMOOTHED(3, 2) < SMOOTHED(-10, 9)) << 5) + ((SMOOTHED(21, 1) < SMOOTHED(8, 7)) << 4) + ((SMOOTHED(7, 0) < SMOOTHED(1, 17)) << 3) + ((SMOOTHED(-8, 12) < SMOOTHED(9, 6)) << 2) + ((SMOOTHED(11, -7) < SMOOTHED(-8, -6)) << 1) + ((SMOOTHED(19, 0) < SMOOTHED(9, 3)) << 0));
-    desc[28] = (uchar)(((SMOOTHED(1, -7) < SMOOTHED(-5, -11)) << 7) + ((SMOOTHED(0, 8) < SMOOTHED(-2, 14)) << 6) + ((SMOOTHED(12, -2) < SMOOTHED(-15, -6)) << 5) + ((SMOOTHED(4, 12) < SMOOTHED(0, -21)) << 4) + ((SMOOTHED(17, -4) < SMOOTHED(-6, -7)) << 3) + ((SMOOTHED(-10, -9) < SMOOTHED(-14, -7)) << 2) + ((SMOOTHED(-15, -10) < SMOOTHED(-15, -14)) << 1) + ((SMOOTHED(-7, -5) < SMOOTHED(5, -12)) << 0));
-    desc[29] = (uchar)(((SMOOTHED(-4, 0) < SMOOTHED(15, -4)) << 7) + ((SMOOTHED(5, 2) < SMOOTHED(-6, -23)) << 6) + ((SMOOTHED(-4, -21) < SMOOTHED(-6, 4)) << 5) + ((SMOOTHED(-10, 5) < SMOOTHED(-15, 6)) << 4) + ((SMOOTHED(4, -3) < SMOOTHED(-1, 5)) << 3) + ((SMOOTHED(-4, 19) < SMOOTHED(-23, -4)) << 2) + ((SMOOTHED(-4, 17) < SMOOTHED(13, -11)) << 1) + ((SMOOTHED(1, 12) < SMOOTHED(4, -14)) << 0));
-    desc[30] = (uchar)(((SMOOTHED(-11, -6) < SMOOTHED(-20, 10)) << 7) + ((SMOOTHED(4, 5) < SMOOTHED(3, 20)) << 6) + ((SMOOTHED(-8, -20) < SMOOTHED(3, 1)) << 5) + ((SMOOTHED(-19, 9) < SMOOTHED(9, -3)) << 4) + ((SMOOTHED(18, 15) < SMOOTHED(11, -4)) << 3) + ((SMOOTHED(12, 16) < SMOOTHED(8, 7)) << 2) + ((SMOOTHED(-14, -8) < SMOOTHED(-3, 9)) << 1) + ((SMOOTHED(-6, 0) < SMOOTHED(2, -4)) << 0));
-    desc[31] = (uchar)(((SMOOTHED(1, -10) < SMOOTHED(-1, 2)) << 7) + ((SMOOTHED(8, -7) < SMOOTHED(-6, 18)) << 6) + ((SMOOTHED(9, 12) < SMOOTHED(-7, -23)) << 5) + ((SMOOTHED(8, -6) < SMOOTHED(5, 2)) << 4) + ((SMOOTHED(-9, 6) < SMOOTHED(-12, -7)) << 3) + ((SMOOTHED(-1, -2) < SMOOTHED(-7, 2)) << 2) + ((SMOOTHED(9, 9) < SMOOTHED(7, 15)) << 1) + ((SMOOTHED(6, 2) < SMOOTHED(-6, 6)) << 0));
-#undef SMOOTHED
diff --git a/modules/features2d/src/generated_64.i b/modules/features2d/src/generated_64.i
deleted file mode 100644
index 2262e2d412..0000000000
--- a/modules/features2d/src/generated_64.i
+++ /dev/null
@@ -1,67 +0,0 @@
-// Code generated with '$ scripts/generate_code.py src/test_pairs.txt 64'
-#define SMOOTHED(y,x) smoothedSum(sum, pt, y, x)
-    desc[0] = (uchar)(((SMOOTHED(-2, -1) < SMOOTHED(7, -1)) << 7) + ((SMOOTHED(-14, -1) < SMOOTHED(-3, 3)) << 6) + ((SMOOTHED(1, -2) < SMOOTHED(11, 2)) << 5) + ((SMOOTHED(1, 6) < SMOOTHED(-10, -7)) << 4) + ((SMOOTHED(13, 2) < SMOOTHED(-1, 0)) << 3) + ((SMOOTHED(-14, 5) < SMOOTHED(5, -3)) << 2) + ((SMOOTHED(-2, 8) < SMOOTHED(2, 4)) << 1) + ((SMOOTHED(-11, 8) < SMOOTHED(-15, 5)) << 0));
-    desc[1] = (uchar)(((SMOOTHED(-6, -23) < SMOOTHED(8, -9)) << 7) + ((SMOOTHED(-12, 6) < SMOOTHED(-10, 8)) << 6) + ((SMOOTHED(-3, -1) < SMOOTHED(8, 1)) << 5) + ((SMOOTHED(3, 6) < SMOOTHED(5, 6)) << 4) + ((SMOOTHED(-7, -6) < SMOOTHED(5, -5)) << 3) + ((SMOOTHED(22, -2) < SMOOTHED(-11, -8)) << 2) + ((SMOOTHED(14, 7) < SMOOTHED(8, 5)) << 1) + ((SMOOTHED(-1, 14) < SMOOTHED(-5, -14)) << 0));
-    desc[2] = (uchar)(((SMOOTHED(-14, 9) < SMOOTHED(2, 0)) << 7) + ((SMOOTHED(7, -3) < SMOOTHED(22, 6)) << 6) + ((SMOOTHED(-6, 6) < SMOOTHED(-8, -5)) << 5) + ((SMOOTHED(-5, 9) < SMOOTHED(7, -1)) << 4) + ((SMOOTHED(-3, -7) < SMOOTHED(-10, -18)) << 3) + ((SMOOTHED(4, -5) < SMOOTHED(0, 11)) << 2) + ((SMOOTHED(2, 3) < SMOOTHED(9, 10)) << 1) + ((SMOOTHED(-10, 3) < SMOOTHED(4, 9)) << 0));
-    desc[3] = (uchar)(((SMOOTHED(0, 12) < SMOOTHED(-3, 19)) << 7) + ((SMOOTHED(1, 15) < SMOOTHED(-11, -5)) << 6) + ((SMOOTHED(14, -1) < SMOOTHED(7, 8)) << 5) + ((SMOOTHED(7, -23) < SMOOTHED(-5, 5)) << 4) + ((SMOOTHED(0, -6) < SMOOTHED(-10, 17)) << 3) + ((SMOOTHED(13, -4) < SMOOTHED(-3, -4)) << 2) + ((SMOOTHED(-12, 1) < SMOOTHED(-12, 2)) << 1) + ((SMOOTHED(0, 8) < SMOOTHED(3, 22)) << 0));
-    desc[4] = (uchar)(((SMOOTHED(-13, 13) < SMOOTHED(3, -1)) << 7) + ((SMOOTHED(-16, 17) < SMOOTHED(6, 10)) << 6) + ((SMOOTHED(7, 15) < SMOOTHED(-5, 0)) << 5) + ((SMOOTHED(2, -12) < SMOOTHED(19, -2)) << 4) + ((SMOOTHED(3, -6) < SMOOTHED(-4, -15)) << 3) + ((SMOOTHED(8, 3) < SMOOTHED(0, 14)) << 2) + ((SMOOTHED(4, -11) < SMOOTHED(5, 5)) << 1) + ((SMOOTHED(11, -7) < SMOOTHED(7, 1)) << 0));
-    desc[5] = (uchar)(((SMOOTHED(6, 12) < SMOOTHED(21, 3)) << 7) + ((SMOOTHED(-3, 2) < SMOOTHED(14, 1)) << 6) + ((SMOOTHED(5, 1) < SMOOTHED(-5, 11)) << 5) + ((SMOOTHED(3, -17) < SMOOTHED(-6, 2)) << 4) + ((SMOOTHED(6, 8) < SMOOTHED(5, -10)) << 3) + ((SMOOTHED(-14, -2) < SMOOTHED(0, 4)) << 2) + ((SMOOTHED(5, -7) < SMOOTHED(-6, 5)) << 1) + ((SMOOTHED(10, 4) < SMOOTHED(4, -7)) << 0));
-    desc[6] = (uchar)(((SMOOTHED(22, 0) < SMOOTHED(7, -18)) << 7) + ((SMOOTHED(-1, -3) < SMOOTHED(0, 18)) << 6) + ((SMOOTHED(-4, 22) < SMOOTHED(-5, 3)) << 5) + ((SMOOTHED(1, -7) < SMOOTHED(2, -3)) << 4) + ((SMOOTHED(19, -20) < SMOOTHED(17, -2)) << 3) + ((SMOOTHED(3, -10) < SMOOTHED(-8, 24)) << 2) + ((SMOOTHED(-5, -14) < SMOOTHED(7, 5)) << 1) + ((SMOOTHED(-2, 12) < SMOOTHED(-4, -15)) << 0));
-    desc[7] = (uchar)(((SMOOTHED(4, 12) < SMOOTHED(0, -19)) << 7) + ((SMOOTHED(20, 13) < SMOOTHED(3, 5)) << 6) + ((SMOOTHED(-8, -12) < SMOOTHED(5, 0)) << 5) + ((SMOOTHED(-5, 6) < SMOOTHED(-7, -11)) << 4) + ((SMOOTHED(6, -11) < SMOOTHED(-3, -22)) << 3) + ((SMOOTHED(15, 4) < SMOOTHED(10, 1)) << 2) + ((SMOOTHED(-7, -4) < SMOOTHED(15, -6)) << 1) + ((SMOOTHED(5, 10) < SMOOTHED(0, 24)) << 0));
-    desc[8] = (uchar)(((SMOOTHED(3, 6) < SMOOTHED(22, -2)) << 7) + ((SMOOTHED(-13, 14) < SMOOTHED(4, -4)) << 6) + ((SMOOTHED(-13, 8) < SMOOTHED(-18, -22)) << 5) + ((SMOOTHED(-1, -1) < SMOOTHED(-7, 3)) << 4) + ((SMOOTHED(-19, -12) < SMOOTHED(4, 3)) << 3) + ((SMOOTHED(8, 10) < SMOOTHED(13, -2)) << 2) + ((SMOOTHED(-6, -1) < SMOOTHED(-6, -5)) << 1) + ((SMOOTHED(2, -21) < SMOOTHED(-3, 2)) << 0));
-    desc[9] = (uchar)(((SMOOTHED(4, -7) < SMOOTHED(0, 16)) << 7) + ((SMOOTHED(-6, -5) < SMOOTHED(-12, -1)) << 6) + ((SMOOTHED(1, -1) < SMOOTHED(9, 18)) << 5) + ((SMOOTHED(-7, 10) < SMOOTHED(-11, 6)) << 4) + ((SMOOTHED(4, 3) < SMOOTHED(19, -7)) << 3) + ((SMOOTHED(-18, 5) < SMOOTHED(-4, 5)) << 2) + ((SMOOTHED(4, 0) < SMOOTHED(-20, 4)) << 1) + ((SMOOTHED(7, -11) < SMOOTHED(18, 12)) << 0));
-    desc[10] = (uchar)(((SMOOTHED(-20, 17) < SMOOTHED(-18, 7)) << 7) + ((SMOOTHED(2, 15) < SMOOTHED(19, -11)) << 6) + ((SMOOTHED(-18, 6) < SMOOTHED(-7, 3)) << 5) + ((SMOOTHED(-4, 1) < SMOOTHED(-14, 13)) << 4) + ((SMOOTHED(17, 3) < SMOOTHED(2, -8)) << 3) + ((SMOOTHED(-7, 2) < SMOOTHED(1, 6)) << 2) + ((SMOOTHED(17, -9) < SMOOTHED(-2, 8)) << 1) + ((SMOOTHED(-8, -6) < SMOOTHED(-1, 12)) << 0));
-    desc[11] = (uchar)(((SMOOTHED(-2, 4) < SMOOTHED(-1, 6)) << 7) + ((SMOOTHED(-2, 7) < SMOOTHED(6, 8)) << 6) + ((SMOOTHED(-8, -1) < SMOOTHED(-7, -9)) << 5) + ((SMOOTHED(8, -9) < SMOOTHED(15, 0)) << 4) + ((SMOOTHED(0, 22) < SMOOTHED(-4, -15)) << 3) + ((SMOOTHED(-14, -1) < SMOOTHED(3, -2)) << 2) + ((SMOOTHED(-7, -4) < SMOOTHED(17, -7)) << 1) + ((SMOOTHED(-8, -2) < SMOOTHED(9, -4)) << 0));
-    desc[12] = (uchar)(((SMOOTHED(5, -7) < SMOOTHED(7, 7)) << 7) + ((SMOOTHED(-5, 13) < SMOOTHED(-8, 11)) << 6) + ((SMOOTHED(11, -4) < SMOOTHED(0, 8)) << 5) + ((SMOOTHED(5, -11) < SMOOTHED(-9, -6)) << 4) + ((SMOOTHED(2, -6) < SMOOTHED(3, -20)) << 3) + ((SMOOTHED(-6, 2) < SMOOTHED(6, 10)) << 2) + ((SMOOTHED(-6, -6) < SMOOTHED(-15, 7)) << 1) + ((SMOOTHED(-6, -3) < SMOOTHED(2, 1)) << 0));
-    desc[13] = (uchar)(((SMOOTHED(11, 0) < SMOOTHED(-3, 2)) << 7) + ((SMOOTHED(7, -12) < SMOOTHED(14, 5)) << 6) + ((SMOOTHED(0, -7) < SMOOTHED(-1, -1)) << 5) + ((SMOOTHED(-16, 0) < SMOOTHED(6, 8)) << 4) + ((SMOOTHED(22, 11) < SMOOTHED(0, -3)) << 3) + ((SMOOTHED(19, 0) < SMOOTHED(5, -17)) << 2) + ((SMOOTHED(-23, -14) < SMOOTHED(-13, -19)) << 1) + ((SMOOTHED(-8, 10) < SMOOTHED(-11, -2)) << 0));
-    desc[14] = (uchar)(((SMOOTHED(-11, 6) < SMOOTHED(-10, 13)) << 7) + ((SMOOTHED(1, -7) < SMOOTHED(14, 0)) << 6) + ((SMOOTHED(-12, 1) < SMOOTHED(-5, -5)) << 5) + ((SMOOTHED(4, 7) < SMOOTHED(8, -1)) << 4) + ((SMOOTHED(-1, -5) < SMOOTHED(15, 2)) << 3) + ((SMOOTHED(-3, -1) < SMOOTHED(7, -10)) << 2) + ((SMOOTHED(3, -6) < SMOOTHED(10, -18)) << 1) + ((SMOOTHED(-7, -13) < SMOOTHED(-13, 10)) << 0));
-    desc[15] = (uchar)(((SMOOTHED(1, -1) < SMOOTHED(13, -10)) << 7) + ((SMOOTHED(-19, 14) < SMOOTHED(8, -14)) << 6) + ((SMOOTHED(-4, -13) < SMOOTHED(7, 1)) << 5) + ((SMOOTHED(1, -2) < SMOOTHED(12, -7)) << 4) + ((SMOOTHED(3, -5) < SMOOTHED(1, -5)) << 3) + ((SMOOTHED(-2, -2) < SMOOTHED(8, -10)) << 2) + ((SMOOTHED(2, 14) < SMOOTHED(8, 7)) << 1) + ((SMOOTHED(3, 9) < SMOOTHED(8, 2)) << 0));
-    desc[16] = (uchar)(((SMOOTHED(-9, 1) < SMOOTHED(-18, 0)) << 7) + ((SMOOTHED(4, 0) < SMOOTHED(1, 12)) << 6) + ((SMOOTHED(0, 9) < SMOOTHED(-14, -10)) << 5) + ((SMOOTHED(-13, -9) < SMOOTHED(-2, 6)) << 4) + ((SMOOTHED(1, 5) < SMOOTHED(10, 10)) << 3) + ((SMOOTHED(-3, -6) < SMOOTHED(-16, -5)) << 2) + ((SMOOTHED(11, 6) < SMOOTHED(-5, 0)) << 1) + ((SMOOTHED(-23, 10) < SMOOTHED(1, 2)) << 0));
-    desc[17] = (uchar)(((SMOOTHED(13, -5) < SMOOTHED(-3, 9)) << 7) + ((SMOOTHED(-4, -1) < SMOOTHED(-13, -5)) << 6) + ((SMOOTHED(10, 13) < SMOOTHED(-11, 8)) << 5) + ((SMOOTHED(19, 20) < SMOOTHED(-9, 2)) << 4) + ((SMOOTHED(4, -8) < SMOOTHED(0, -9)) << 3) + ((SMOOTHED(-14, 10) < SMOOTHED(15, 19)) << 2) + ((SMOOTHED(-14, -12) < SMOOTHED(-10, -3)) << 1) + ((SMOOTHED(-23, -3) < SMOOTHED(17, -2)) << 0));
-    desc[18] = (uchar)(((SMOOTHED(-3, -11) < SMOOTHED(6, -14)) << 7) + ((SMOOTHED(19, -2) < SMOOTHED(-4, 2)) << 6) + ((SMOOTHED(-5, 5) < SMOOTHED(3, -13)) << 5) + ((SMOOTHED(2, -2) < SMOOTHED(-5, 4)) << 4) + ((SMOOTHED(17, 4) < SMOOTHED(17, -11)) << 3) + ((SMOOTHED(-7, -2) < SMOOTHED(1, 23)) << 2) + ((SMOOTHED(8, 13) < SMOOTHED(1, -16)) << 1) + ((SMOOTHED(-13, -5) < SMOOTHED(1, -17)) << 0));
-    desc[19] = (uchar)(((SMOOTHED(4, 6) < SMOOTHED(-8, -3)) << 7) + ((SMOOTHED(-5, -9) < SMOOTHED(-2, -10)) << 6) + ((SMOOTHED(-9, 0) < SMOOTHED(-7, -2)) << 5) + ((SMOOTHED(5, 0) < SMOOTHED(5, 2)) << 4) + ((SMOOTHED(-4, -16) < SMOOTHED(6, 3)) << 3) + ((SMOOTHED(2, -15) < SMOOTHED(-2, 12)) << 2) + ((SMOOTHED(4, -1) < SMOOTHED(6, 2)) << 1) + ((SMOOTHED(1, 1) < SMOOTHED(-2, -8)) << 0));
-    desc[20] = (uchar)(((SMOOTHED(-2, 12) < SMOOTHED(-5, -2)) << 7) + ((SMOOTHED(-8, 8) < SMOOTHED(-9, 9)) << 6) + ((SMOOTHED(2, -10) < SMOOTHED(3, 1)) << 5) + ((SMOOTHED(-4, 10) < SMOOTHED(-9, 4)) << 4) + ((SMOOTHED(6, 12) < SMOOTHED(2, 5)) << 3) + ((SMOOTHED(-3, -8) < SMOOTHED(0, 5)) << 2) + ((SMOOTHED(-13, 1) < SMOOTHED(-7, 2)) << 1) + ((SMOOTHED(-1, -10) < SMOOTHED(7, -18)) << 0));
-    desc[21] = (uchar)(((SMOOTHED(-1, 8) < SMOOTHED(-9, -10)) << 7) + ((SMOOTHED(-23, -1) < SMOOTHED(6, 2)) << 6) + ((SMOOTHED(-5, -3) < SMOOTHED(3, 2)) << 5) + ((SMOOTHED(0, 11) < SMOOTHED(-4, -7)) << 4) + ((SMOOTHED(15, 2) < SMOOTHED(-10, -3)) << 3) + ((SMOOTHED(-20, -8) < SMOOTHED(-13, 3)) << 2) + ((SMOOTHED(-19, -12) < SMOOTHED(5, -11)) << 1) + ((SMOOTHED(-17, -13) < SMOOTHED(-3, 2)) << 0));
-    desc[22] = (uchar)(((SMOOTHED(7, 4) < SMOOTHED(-12, 0)) << 7) + ((SMOOTHED(5, -1) < SMOOTHED(-14, -6)) << 6) + ((SMOOTHED(-4, 11) < SMOOTHED(0, -4)) << 5) + ((SMOOTHED(3, 10) < SMOOTHED(7, -3)) << 4) + ((SMOOTHED(13, 21) < SMOOTHED(-11, 6)) << 3) + ((SMOOTHED(-12, 24) < SMOOTHED(-7, -4)) << 2) + ((SMOOTHED(4, 16) < SMOOTHED(3, -14)) << 1) + ((SMOOTHED(-3, 5) < SMOOTHED(-7, -12)) << 0));
-    desc[23] = (uchar)(((SMOOTHED(0, -4) < SMOOTHED(7, -5)) << 7) + ((SMOOTHED(-17, -9) < SMOOTHED(13, -7)) << 6) + ((SMOOTHED(22, -6) < SMOOTHED(-11, 5)) << 5) + ((SMOOTHED(2, -8) < SMOOTHED(23, -11)) << 4) + ((SMOOTHED(7, -10) < SMOOTHED(-1, 14)) << 3) + ((SMOOTHED(-3, -10) < SMOOTHED(8, 3)) << 2) + ((SMOOTHED(-13, 1) < SMOOTHED(-6, 0)) << 1) + ((SMOOTHED(-7, -21) < SMOOTHED(6, -14)) << 0));
-    desc[24] = (uchar)(((SMOOTHED(18, 19) < SMOOTHED(-4, -6)) << 7) + ((SMOOTHED(10, 7) < SMOOTHED(-1, -4)) << 6) + ((SMOOTHED(-1, 21) < SMOOTHED(1, -5)) << 5) + ((SMOOTHED(-10, 6) < SMOOTHED(-11, -2)) << 4) + ((SMOOTHED(18, -3) < SMOOTHED(-1, 7)) << 3) + ((SMOOTHED(-3, -9) < SMOOTHED(-5, 10)) << 2) + ((SMOOTHED(-13, 14) < SMOOTHED(17, -3)) << 1) + ((SMOOTHED(11, -19) < SMOOTHED(-1, -18)) << 0));
-    desc[25] = (uchar)(((SMOOTHED(8, -2) < SMOOTHED(-18, -23)) << 7) + ((SMOOTHED(0, -5) < SMOOTHED(-2, -9)) << 6) + ((SMOOTHED(-4, -11) < SMOOTHED(2, -8)) << 5) + ((SMOOTHED(14, 6) < SMOOTHED(-3, -6)) << 4) + ((SMOOTHED(-3, 0) < SMOOTHED(-15, 0)) << 3) + ((SMOOTHED(-9, 4) < SMOOTHED(-15, -9)) << 2) + ((SMOOTHED(-1, 11) < SMOOTHED(3, 11)) << 1) + ((SMOOTHED(-10, -16) < SMOOTHED(-7, 7)) << 0));
-    desc[26] = (uchar)(((SMOOTHED(-2, -10) < SMOOTHED(-10, -2)) << 7) + ((SMOOTHED(-5, -3) < SMOOTHED(5, -23)) << 6) + ((SMOOTHED(13, -8) < SMOOTHED(-15, -11)) << 5) + ((SMOOTHED(-15, 11) < SMOOTHED(6, -6)) << 4) + ((SMOOTHED(-16, -3) < SMOOTHED(-2, 2)) << 3) + ((SMOOTHED(6, 12) < SMOOTHED(-16, 24)) << 2) + ((SMOOTHED(-10, 0) < SMOOTHED(8, 11)) << 1) + ((SMOOTHED(-7, 7) < SMOOTHED(-19, -7)) << 0));
-    desc[27] = (uchar)(((SMOOTHED(5, 16) < SMOOTHED(9, -3)) << 7) + ((SMOOTHED(9, 7) < SMOOTHED(-7, -16)) << 6) + ((SMOOTHED(3, 2) < SMOOTHED(-10, 9)) << 5) + ((SMOOTHED(21, 1) < SMOOTHED(8, 7)) << 4) + ((SMOOTHED(7, 0) < SMOOTHED(1, 17)) << 3) + ((SMOOTHED(-8, 12) < SMOOTHED(9, 6)) << 2) + ((SMOOTHED(11, -7) < SMOOTHED(-8, -6)) << 1) + ((SMOOTHED(19, 0) < SMOOTHED(9, 3)) << 0));
-    desc[28] = (uchar)(((SMOOTHED(1, -7) < SMOOTHED(-5, -11)) << 7) + ((SMOOTHED(0, 8) < SMOOTHED(-2, 14)) << 6) + ((SMOOTHED(12, -2) < SMOOTHED(-15, -6)) << 5) + ((SMOOTHED(4, 12) < SMOOTHED(0, -21)) << 4) + ((SMOOTHED(17, -4) < SMOOTHED(-6, -7)) << 3) + ((SMOOTHED(-10, -9) < SMOOTHED(-14, -7)) << 2) + ((SMOOTHED(-15, -10) < SMOOTHED(-15, -14)) << 1) + ((SMOOTHED(-7, -5) < SMOOTHED(5, -12)) << 0));
-    desc[29] = (uchar)(((SMOOTHED(-4, 0) < SMOOTHED(15, -4)) << 7) + ((SMOOTHED(5, 2) < SMOOTHED(-6, -23)) << 6) + ((SMOOTHED(-4, -21) < SMOOTHED(-6, 4)) << 5) + ((SMOOTHED(-10, 5) < SMOOTHED(-15, 6)) << 4) + ((SMOOTHED(4, -3) < SMOOTHED(-1, 5)) << 3) + ((SMOOTHED(-4, 19) < SMOOTHED(-23, -4)) << 2) + ((SMOOTHED(-4, 17) < SMOOTHED(13, -11)) << 1) + ((SMOOTHED(1, 12) < SMOOTHED(4, -14)) << 0));
-    desc[30] = (uchar)(((SMOOTHED(-11, -6) < SMOOTHED(-20, 10)) << 7) + ((SMOOTHED(4, 5) < SMOOTHED(3, 20)) << 6) + ((SMOOTHED(-8, -20) < SMOOTHED(3, 1)) << 5) + ((SMOOTHED(-19, 9) < SMOOTHED(9, -3)) << 4) + ((SMOOTHED(18, 15) < SMOOTHED(11, -4)) << 3) + ((SMOOTHED(12, 16) < SMOOTHED(8, 7)) << 2) + ((SMOOTHED(-14, -8) < SMOOTHED(-3, 9)) << 1) + ((SMOOTHED(-6, 0) < SMOOTHED(2, -4)) << 0));
-    desc[31] = (uchar)(((SMOOTHED(1, -10) < SMOOTHED(-1, 2)) << 7) + ((SMOOTHED(8, -7) < SMOOTHED(-6, 18)) << 6) + ((SMOOTHED(9, 12) < SMOOTHED(-7, -23)) << 5) + ((SMOOTHED(8, -6) < SMOOTHED(5, 2)) << 4) + ((SMOOTHED(-9, 6) < SMOOTHED(-12, -7)) << 3) + ((SMOOTHED(-1, -2) < SMOOTHED(-7, 2)) << 2) + ((SMOOTHED(9, 9) < SMOOTHED(7, 15)) << 1) + ((SMOOTHED(6, 2) < SMOOTHED(-6, 6)) << 0));
-    desc[32] = (uchar)(((SMOOTHED(16, 12) < SMOOTHED(0, 19)) << 7) + ((SMOOTHED(4, 3) < SMOOTHED(6, 0)) << 6) + ((SMOOTHED(-2, -1) < SMOOTHED(2, 17)) << 5) + ((SMOOTHED(8, 1) < SMOOTHED(3, 1)) << 4) + ((SMOOTHED(-12, -1) < SMOOTHED(-11, 0)) << 3) + ((SMOOTHED(-11, 2) < SMOOTHED(7, 9)) << 2) + ((SMOOTHED(-1, 3) < SMOOTHED(-19, 4)) << 1) + ((SMOOTHED(-1, -11) < SMOOTHED(-1, 3)) << 0));
-    desc[33] = (uchar)(((SMOOTHED(1, -10) < SMOOTHED(-10, -4)) << 7) + ((SMOOTHED(-2, 3) < SMOOTHED(6, 11)) << 6) + ((SMOOTHED(3, 7) < SMOOTHED(-9, -8)) << 5) + ((SMOOTHED(24, -14) < SMOOTHED(-2, -10)) << 4) + ((SMOOTHED(-3, -3) < SMOOTHED(-18, -6)) << 3) + ((SMOOTHED(-13, -10) < SMOOTHED(-7, -1)) << 2) + ((SMOOTHED(2, -7) < SMOOTHED(9, -6)) << 1) + ((SMOOTHED(2, -4) < SMOOTHED(6, -13)) << 0));
-    desc[34] = (uchar)(((SMOOTHED(4, -4) < SMOOTHED(-2, 3)) << 7) + ((SMOOTHED(-4, 2) < SMOOTHED(9, 13)) << 6) + ((SMOOTHED(-11, 5) < SMOOTHED(-6, -11)) << 5) + ((SMOOTHED(4, -2) < SMOOTHED(11, -9)) << 4) + ((SMOOTHED(-19, 0) < SMOOTHED(-23, -5)) << 3) + ((SMOOTHED(-5, -7) < SMOOTHED(-3, -6)) << 2) + ((SMOOTHED(-6, -4) < SMOOTHED(12, 14)) << 1) + ((SMOOTHED(12, -11) < SMOOTHED(-8, -16)) << 0));
-    desc[35] = (uchar)(((SMOOTHED(-21, 15) < SMOOTHED(-12, 6)) << 7) + ((SMOOTHED(-2, -1) < SMOOTHED(-8, 16)) << 6) + ((SMOOTHED(6, -1) < SMOOTHED(-8, -2)) << 5) + ((SMOOTHED(1, -1) < SMOOTHED(-9, 8)) << 4) + ((SMOOTHED(3, -4) < SMOOTHED(-2, -2)) << 3) + ((SMOOTHED(-7, 0) < SMOOTHED(4, -8)) << 2) + ((SMOOTHED(11, -11) < SMOOTHED(-12, 2)) << 1) + ((SMOOTHED(2, 3) < SMOOTHED(11, 7)) << 0));
-    desc[36] = (uchar)(((SMOOTHED(-7, -4) < SMOOTHED(-9, -6)) << 7) + ((SMOOTHED(3, -7) < SMOOTHED(-5, 0)) << 6) + ((SMOOTHED(3, -7) < SMOOTHED(-10, -5)) << 5) + ((SMOOTHED(-3, -1) < SMOOTHED(8, -10)) << 4) + ((SMOOTHED(0, 8) < SMOOTHED(5, 1)) << 3) + ((SMOOTHED(9, 0) < SMOOTHED(1, 16)) << 2) + ((SMOOTHED(8, 4) < SMOOTHED(-11, -3)) << 1) + ((SMOOTHED(-15, 9) < SMOOTHED(8, 17)) << 0));
-    desc[37] = (uchar)(((SMOOTHED(0, 2) < SMOOTHED(-9, 17)) << 7) + ((SMOOTHED(-6, -11) < SMOOTHED(-10, -3)) << 6) + ((SMOOTHED(1, 1) < SMOOTHED(15, -8)) << 5) + ((SMOOTHED(-12, -13) < SMOOTHED(-2, 4)) << 4) + ((SMOOTHED(-6, 4) < SMOOTHED(-6, -10)) << 3) + ((SMOOTHED(5, -7) < SMOOTHED(7, -5)) << 2) + ((SMOOTHED(10, 6) < SMOOTHED(8, 9)) << 1) + ((SMOOTHED(-5, 7) < SMOOTHED(-18, -3)) << 0));
-    desc[38] = (uchar)(((SMOOTHED(-6, 3) < SMOOTHED(5, 4)) << 7) + ((SMOOTHED(-10, -13) < SMOOTHED(-5, -3)) << 6) + ((SMOOTHED(-11, 2) < SMOOTHED(-16, 0)) << 5) + ((SMOOTHED(7, -21) < SMOOTHED(-5, -13)) << 4) + ((SMOOTHED(-14, -14) < SMOOTHED(-4, -4)) << 3) + ((SMOOTHED(4, 9) < SMOOTHED(7, -3)) << 2) + ((SMOOTHED(4, 11) < SMOOTHED(10, -4)) << 1) + ((SMOOTHED(6, 17) < SMOOTHED(9, 17)) << 0));
-    desc[39] = (uchar)(((SMOOTHED(-10, 8) < SMOOTHED(0, -11)) << 7) + ((SMOOTHED(-6, -16) < SMOOTHED(-6, 8)) << 6) + ((SMOOTHED(-13, 5) < SMOOTHED(10, -5)) << 5) + ((SMOOTHED(3, 2) < SMOOTHED(12, 16)) << 4) + ((SMOOTHED(13, -8) < SMOOTHED(0, -6)) << 3) + ((SMOOTHED(10, 0) < SMOOTHED(4, -11)) << 2) + ((SMOOTHED(8, 5) < SMOOTHED(10, -2)) << 1) + ((SMOOTHED(11, -7) < SMOOTHED(-13, 3)) << 0));
-    desc[40] = (uchar)(((SMOOTHED(2, 4) < SMOOTHED(-7, -3)) << 7) + ((SMOOTHED(-14, -2) < SMOOTHED(-11, 16)) << 6) + ((SMOOTHED(11, -6) < SMOOTHED(7, 6)) << 5) + ((SMOOTHED(-3, 15) < SMOOTHED(8, -10)) << 4) + ((SMOOTHED(-3, 8) < SMOOTHED(12, -12)) << 3) + ((SMOOTHED(-13, 6) < SMOOTHED(-14, 7)) << 2) + ((SMOOTHED(-11, -5) < SMOOTHED(-8, -6)) << 1) + ((SMOOTHED(7, -6) < SMOOTHED(6, 3)) << 0));
-    desc[41] = (uchar)(((SMOOTHED(-4, 10) < SMOOTHED(5, 1)) << 7) + ((SMOOTHED(9, 16) < SMOOTHED(10, 13)) << 6) + ((SMOOTHED(-17, 10) < SMOOTHED(2, 8)) << 5) + ((SMOOTHED(-5, 1) < SMOOTHED(4, -4)) << 4) + ((SMOOTHED(-14, 8) < SMOOTHED(-5, 2)) << 3) + ((SMOOTHED(4, -9) < SMOOTHED(-6, -3)) << 2) + ((SMOOTHED(3, -7) < SMOOTHED(-10, 0)) << 1) + ((SMOOTHED(-2, -8) < SMOOTHED(-10, 4)) << 0));
-    desc[42] = (uchar)(((SMOOTHED(-8, 5) < SMOOTHED(-9, 24)) << 7) + ((SMOOTHED(2, -8) < SMOOTHED(8, -9)) << 6) + ((SMOOTHED(-4, 17) < SMOOTHED(-5, 2)) << 5) + ((SMOOTHED(14, 0) < SMOOTHED(-9, 9)) << 4) + ((SMOOTHED(11, 15) < SMOOTHED(-6, 5)) << 3) + ((SMOOTHED(-8, 1) < SMOOTHED(-3, 4)) << 2) + ((SMOOTHED(9, -21) < SMOOTHED(10, 2)) << 1) + ((SMOOTHED(2, -1) < SMOOTHED(4, 11)) << 0));
-    desc[43] = (uchar)(((SMOOTHED(24, 3) < SMOOTHED(2, -2)) << 7) + ((SMOOTHED(-8, 17) < SMOOTHED(-14, -10)) << 6) + ((SMOOTHED(6, 5) < SMOOTHED(-13, 7)) << 5) + ((SMOOTHED(11, 10) < SMOOTHED(0, -1)) << 4) + ((SMOOTHED(4, 6) < SMOOTHED(-10, 6)) << 3) + ((SMOOTHED(-12, -2) < SMOOTHED(5, 6)) << 2) + ((SMOOTHED(3, -1) < SMOOTHED(8, -15)) << 1) + ((SMOOTHED(1, -4) < SMOOTHED(-7, 11)) << 0));
-    desc[44] = (uchar)(((SMOOTHED(1, 11) < SMOOTHED(5, 0)) << 7) + ((SMOOTHED(6, -12) < SMOOTHED(10, 1)) << 6) + ((SMOOTHED(-3, -2) < SMOOTHED(-1, 4)) << 5) + ((SMOOTHED(-2, -11) < SMOOTHED(-1, 12)) << 4) + ((SMOOTHED(7, -8) < SMOOTHED(-20, -18)) << 3) + ((SMOOTHED(2, 0) < SMOOTHED(-9, 2)) << 2) + ((SMOOTHED(-13, -1) < SMOOTHED(-16, 2)) << 1) + ((SMOOTHED(3, -1) < SMOOTHED(-5, -17)) << 0));
-    desc[45] = (uchar)(((SMOOTHED(15, 8) < SMOOTHED(3, -14)) << 7) + ((SMOOTHED(-13, -12) < SMOOTHED(6, 15)) << 6) + ((SMOOTHED(2, -8) < SMOOTHED(2, 6)) << 5) + ((SMOOTHED(6, 22) < SMOOTHED(-3, -23)) << 4) + ((SMOOTHED(-2, -7) < SMOOTHED(-6, 0)) << 3) + ((SMOOTHED(13, -10) < SMOOTHED(-6, 6)) << 2) + ((SMOOTHED(6, 7) < SMOOTHED(-10, 12)) << 1) + ((SMOOTHED(-6, 7) < SMOOTHED(-2, 11)) << 0));
-    desc[46] = (uchar)(((SMOOTHED(0, -22) < SMOOTHED(-2, -17)) << 7) + ((SMOOTHED(-4, -1) < SMOOTHED(-11, -14)) << 6) + ((SMOOTHED(-2, -8) < SMOOTHED(7, 12)) << 5) + ((SMOOTHED(12, -5) < SMOOTHED(7, -13)) << 4) + ((SMOOTHED(2, -2) < SMOOTHED(-7, 6)) << 3) + ((SMOOTHED(0, 8) < SMOOTHED(-3, 23)) << 2) + ((SMOOTHED(6, 12) < SMOOTHED(13, -11)) << 1) + ((SMOOTHED(-21, -10) < SMOOTHED(10, 8)) << 0));
-    desc[47] = (uchar)(((SMOOTHED(-3, 0) < SMOOTHED(7, 15)) << 7) + ((SMOOTHED(7, -6) < SMOOTHED(-5, -12)) << 6) + ((SMOOTHED(-21, -10) < SMOOTHED(12, -11)) << 5) + ((SMOOTHED(-5, -11) < SMOOTHED(8, -11)) << 4) + ((SMOOTHED(5, 0) < SMOOTHED(-11, -1)) << 3) + ((SMOOTHED(8, -9) < SMOOTHED(7, -1)) << 2) + ((SMOOTHED(11, -23) < SMOOTHED(21, -5)) << 1) + ((SMOOTHED(0, -5) < SMOOTHED(-8, 6)) << 0));
-    desc[48] = (uchar)(((SMOOTHED(-6, 8) < SMOOTHED(8, 12)) << 7) + ((SMOOTHED(-7, 5) < SMOOTHED(3, -2)) << 6) + ((SMOOTHED(-5, -20) < SMOOTHED(-12, 9)) << 5) + ((SMOOTHED(-6, 12) < SMOOTHED(-11, 3)) << 4) + ((SMOOTHED(4, 5) < SMOOTHED(13, 11)) << 3) + ((SMOOTHED(2, 12) < SMOOTHED(13, -12)) << 2) + ((SMOOTHED(-4, -13) < SMOOTHED(4, 7)) << 1) + ((SMOOTHED(0, 15) < SMOOTHED(-3, -16)) << 0));
-    desc[49] = (uchar)(((SMOOTHED(-3, 2) < SMOOTHED(-2, 14)) << 7) + ((SMOOTHED(4, -14) < SMOOTHED(16, -11)) << 6) + ((SMOOTHED(-13, 3) < SMOOTHED(23, 10)) << 5) + ((SMOOTHED(9, -19) < SMOOTHED(2, 5)) << 4) + ((SMOOTHED(5, 3) < SMOOTHED(14, -7)) << 3) + ((SMOOTHED(19, -13) < SMOOTHED(-11, 15)) << 2) + ((SMOOTHED(14, 0) < SMOOTHED(-2, -5)) << 1) + ((SMOOTHED(11, -4) < SMOOTHED(0, -6)) << 0));
-    desc[50] = (uchar)(((SMOOTHED(-2, 5) < SMOOTHED(-13, -8)) << 7) + ((SMOOTHED(-11, -15) < SMOOTHED(-7, -17)) << 6) + ((SMOOTHED(1, 3) < SMOOTHED(-10, -8)) << 5) + ((SMOOTHED(-13, -10) < SMOOTHED(7, -12)) << 4) + ((SMOOTHED(0, -13) < SMOOTHED(23, -6)) << 3) + ((SMOOTHED(2, -17) < SMOOTHED(-7, -3)) << 2) + ((SMOOTHED(1, 3) < SMOOTHED(4, -10)) << 1) + ((SMOOTHED(13, 4) < SMOOTHED(14, -6)) << 0));
-    desc[51] = (uchar)(((SMOOTHED(-19, -2) < SMOOTHED(-1, 5)) << 7) + ((SMOOTHED(9, -8) < SMOOTHED(10, -5)) << 6) + ((SMOOTHED(7, -1) < SMOOTHED(5, 7)) << 5) + ((SMOOTHED(9, -10) < SMOOTHED(19, 0)) << 4) + ((SMOOTHED(7, 5) < SMOOTHED(-4, -7)) << 3) + ((SMOOTHED(-11, 1) < SMOOTHED(-1, -11)) << 2) + ((SMOOTHED(2, -1) < SMOOTHED(-4, 11)) << 1) + ((SMOOTHED(-1, 7) < SMOOTHED(2, -2)) << 0));
-    desc[52] = (uchar)(((SMOOTHED(1, -20) < SMOOTHED(-9, -6)) << 7) + ((SMOOTHED(-4, -18) < SMOOTHED(8, -18)) << 6) + ((SMOOTHED(-16, -2) < SMOOTHED(7, -6)) << 5) + ((SMOOTHED(-3, -6) < SMOOTHED(-1, -4)) << 4) + ((SMOOTHED(0, -16) < SMOOTHED(24, -5)) << 3) + ((SMOOTHED(-4, -2) < SMOOTHED(-1, 9)) << 2) + ((SMOOTHED(-8, 2) < SMOOTHED(-6, 15)) << 1) + ((SMOOTHED(11, 4) < SMOOTHED(0, -3)) << 0));
-    desc[53] = (uchar)(((SMOOTHED(7, 6) < SMOOTHED(2, -10)) << 7) + ((SMOOTHED(-7, -9) < SMOOTHED(12, -6)) << 6) + ((SMOOTHED(24, 15) < SMOOTHED(-8, -1)) << 5) + ((SMOOTHED(15, -9) < SMOOTHED(-3, -15)) << 4) + ((SMOOTHED(17, -5) < SMOOTHED(11, -10)) << 3) + ((SMOOTHED(-2, 13) < SMOOTHED(-15, 4)) << 2) + ((SMOOTHED(-2, -1) < SMOOTHED(4, -23)) << 1) + ((SMOOTHED(-16, 3) < SMOOTHED(-7, -14)) << 0));
-    desc[54] = (uchar)(((SMOOTHED(-3, -5) < SMOOTHED(-10, -9)) << 7) + ((SMOOTHED(-5, 3) < SMOOTHED(-2, -1)) << 6) + ((SMOOTHED(-1, 4) < SMOOTHED(1, 8)) << 5) + ((SMOOTHED(12, 9) < SMOOTHED(9, -14)) << 4) + ((SMOOTHED(-9, 17) < SMOOTHED(-3, 0)) << 3) + ((SMOOTHED(5, 4) < SMOOTHED(13, -6)) << 2) + ((SMOOTHED(-1, -8) < SMOOTHED(19, 10)) << 1) + ((SMOOTHED(8, -5) < SMOOTHED(-15, 2)) << 0));
-    desc[55] = (uchar)(((SMOOTHED(-12, -9) < SMOOTHED(-4, -5)) << 7) + ((SMOOTHED(12, 0) < SMOOTHED(24, 4)) << 6) + ((SMOOTHED(8, -2) < SMOOTHED(14, 4)) << 5) + ((SMOOTHED(8, -4) < SMOOTHED(-7, 16)) << 4) + ((SMOOTHED(5, -1) < SMOOTHED(-8, -4)) << 3) + ((SMOOTHED(-2, 18) < SMOOTHED(-5, 17)) << 2) + ((SMOOTHED(8, -2) < SMOOTHED(-9, -2)) << 1) + ((SMOOTHED(3, -7) < SMOOTHED(1, -6)) << 0));
-    desc[56] = (uchar)(((SMOOTHED(-5, -22) < SMOOTHED(-5, -2)) << 7) + ((SMOOTHED(-8, -10) < SMOOTHED(14, 1)) << 6) + ((SMOOTHED(-3, -13) < SMOOTHED(3, 9)) << 5) + ((SMOOTHED(-4, -1) < SMOOTHED(-1, 0)) << 4) + ((SMOOTHED(-7, -21) < SMOOTHED(12, -19)) << 3) + ((SMOOTHED(-8, 8) < SMOOTHED(24, 8)) << 2) + ((SMOOTHED(12, -6) < SMOOTHED(-2, 3)) << 1) + ((SMOOTHED(-5, -11) < SMOOTHED(-22, -4)) << 0));
-    desc[57] = (uchar)(((SMOOTHED(-3, 5) < SMOOTHED(-4, 4)) << 7) + ((SMOOTHED(-16, 24) < SMOOTHED(7, -9)) << 6) + ((SMOOTHED(-10, 23) < SMOOTHED(-9, 18)) << 5) + ((SMOOTHED(1, 12) < SMOOTHED(17, 21)) << 4) + ((SMOOTHED(24, -6) < SMOOTHED(-3, -11)) << 3) + ((SMOOTHED(-7, 17) < SMOOTHED(1, -6)) << 2) + ((SMOOTHED(4, 4) < SMOOTHED(2, -7)) << 1) + ((SMOOTHED(14, 6) < SMOOTHED(-12, 3)) << 0));
-    desc[58] = (uchar)(((SMOOTHED(-6, 0) < SMOOTHED(-16, 13)) << 7) + ((SMOOTHED(-10, 5) < SMOOTHED(7, 12)) << 6) + ((SMOOTHED(5, 2) < SMOOTHED(6, -3)) << 5) + ((SMOOTHED(7, 0) < SMOOTHED(-23, 1)) << 4) + ((SMOOTHED(15, -5) < SMOOTHED(1, 14)) << 3) + ((SMOOTHED(-3, -1) < SMOOTHED(6, 6)) << 2) + ((SMOOTHED(6, -9) < SMOOTHED(-9, 12)) << 1) + ((SMOOTHED(4, -2) < SMOOTHED(-4, 7)) << 0));
-    desc[59] = (uchar)(((SMOOTHED(-4, -5) < SMOOTHED(4, 4)) << 7) + ((SMOOTHED(-13, 0) < SMOOTHED(6, -10)) << 6) + ((SMOOTHED(2, -12) < SMOOTHED(-6, -3)) << 5) + ((SMOOTHED(16, 0) < SMOOTHED(-3, 3)) << 4) + ((SMOOTHED(5, -14) < SMOOTHED(6, 11)) << 3) + ((SMOOTHED(5, 11) < SMOOTHED(0, -13)) << 2) + ((SMOOTHED(7, 5) < SMOOTHED(-1, -5)) << 1) + ((SMOOTHED(12, 4) < SMOOTHED(6, 10)) << 0));
-    desc[60] = (uchar)(((SMOOTHED(-10, 4) < SMOOTHED(-1, -11)) << 7) + ((SMOOTHED(4, 10) < SMOOTHED(-14, 5)) << 6) + ((SMOOTHED(11, -14) < SMOOTHED(-13, 0)) << 5) + ((SMOOTHED(2, 8) < SMOOTHED(12, 24)) << 4) + ((SMOOTHED(-1, 3) < SMOOTHED(-1, 2)) << 3) + ((SMOOTHED(9, -14) < SMOOTHED(-23, 3)) << 2) + ((SMOOTHED(-8, -6) < SMOOTHED(0, 9)) << 1) + ((SMOOTHED(-15, 14) < SMOOTHED(10, -10)) << 0));
-    desc[61] = (uchar)(((SMOOTHED(-10, -6) < SMOOTHED(-7, -5)) << 7) + ((SMOOTHED(11, 5) < SMOOTHED(-3, -15)) << 6) + ((SMOOTHED(1, 0) < SMOOTHED(1, 8)) << 5) + ((SMOOTHED(-11, -6) < SMOOTHED(-4, -18)) << 4) + ((SMOOTHED(9, 0) < SMOOTHED(22, -4)) << 3) + ((SMOOTHED(-5, -1) < SMOOTHED(-9, 4)) << 2) + ((SMOOTHED(-20, 2) < SMOOTHED(1, 6)) << 1) + ((SMOOTHED(1, 2) < SMOOTHED(-9, -12)) << 0));
-    desc[62] = (uchar)(((SMOOTHED(5, 15) < SMOOTHED(4, -6)) << 7) + ((SMOOTHED(19, 4) < SMOOTHED(4, 11)) << 6) + ((SMOOTHED(17, -4) < SMOOTHED(-8, -1)) << 5) + ((SMOOTHED(-8, -12) < SMOOTHED(7, -3)) << 4) + ((SMOOTHED(11, 9) < SMOOTHED(8, 1)) << 3) + ((SMOOTHED(9, 22) < SMOOTHED(-15, 15)) << 2) + ((SMOOTHED(-7, -7) < SMOOTHED(1, -23)) << 1) + ((SMOOTHED(-5, 13) < SMOOTHED(-8, 2)) << 0));
-    desc[63] = (uchar)(((SMOOTHED(3, -5) < SMOOTHED(11, -11)) << 7) + ((SMOOTHED(3, -18) < SMOOTHED(14, -5)) << 6) + ((SMOOTHED(-20, 7) < SMOOTHED(-10, -23)) << 5) + ((SMOOTHED(-2, -5) < SMOOTHED(6, 0)) << 4) + ((SMOOTHED(-17, -13) < SMOOTHED(-3, 2)) << 3) + ((SMOOTHED(-6, -1) < SMOOTHED(14, -2)) << 2) + ((SMOOTHED(-12, -16) < SMOOTHED(15, 6)) << 1) + ((SMOOTHED(-12, -2) < SMOOTHED(3, -19)) << 0));
-#undef SMOOTHED
diff --git a/modules/features2d/src/matchers.cpp b/modules/features2d/src/matchers.cpp
index 1ae1340d1d..363bea3a1d 100644
--- a/modules/features2d/src/matchers.cpp
+++ b/modules/features2d/src/matchers.cpp
@@ -50,26 +50,7 @@
 namespace cv
 {
 
-Mat windowedMatchingMask( const std::vector<KeyPoint>& keypoints1, const std::vector<KeyPoint>& keypoints2,
-                          float maxDeltaX, float maxDeltaY )
-{
-    if( keypoints1.empty() || keypoints2.empty() )
-        return Mat();
-
-    int n1 = (int)keypoints1.size(), n2 = (int)keypoints2.size();
-    Mat mask( n1, n2, CV_8UC1 );
-    for( int i = 0; i < n1; i++ )
-    {
-        for( int j = 0; j < n2; j++ )
-        {
-            Point2f diff = keypoints2[j].pt - keypoints1[i].pt;
-            mask.at<uchar>(i, j) = std::abs(diff.x) < maxDeltaX && std::abs(diff.y) < maxDeltaY;
-        }
-    }
-    return mask;
-}
-
-//////////////////////////////////////////////////////////////////ocl functions for BFMatcher ///////////////////////////////////////////////////////////////
+/////////////////////// ocl functions for BFMatcher ///////////////////////////
 
 static void ensureSizeIsEnough(int rows, int cols, int type, UMat &m)
 {
@@ -1507,382 +1488,4 @@ void FlannBasedMatcher::radiusMatchImpl( InputArray _queryDescriptors, std::vect
     convertToDMatches( mergedDescriptors, indices, dists, matches );
 }
 
-/****************************************************************************************\
-*                                GenericDescriptorMatcher                                *
-\****************************************************************************************/
-/*
- * KeyPointCollection
- */
-GenericDescriptorMatcher::KeyPointCollection::KeyPointCollection() : pointCount(0)
-{}
-
-GenericDescriptorMatcher::KeyPointCollection::KeyPointCollection( const KeyPointCollection& collection )
-{
-    pointCount = collection.pointCount;
-
-    std::transform( collection.images.begin(), collection.images.end(), images.begin(), clone_op );
-
-    keypoints.resize( collection.keypoints.size() );
-    for( size_t i = 0; i < keypoints.size(); i++ )
-        std::copy( collection.keypoints[i].begin(), collection.keypoints[i].end(), keypoints[i].begin() );
-
-    std::copy( collection.startIndices.begin(), collection.startIndices.end(), startIndices.begin() );
-}
-
-void GenericDescriptorMatcher::KeyPointCollection::add( const std::vector<Mat>& _images,
-                                                        const std::vector<std::vector<KeyPoint> >& _points )
-{
-    CV_Assert( !_images.empty() );
-    CV_Assert( _images.size() == _points.size() );
-
-    images.insert( images.end(), _images.begin(), _images.end() );
-    keypoints.insert( keypoints.end(), _points.begin(), _points.end() );
-    for( size_t i = 0; i < _points.size(); i++ )
-        pointCount += (int)_points[i].size();
-
-    size_t prevSize = startIndices.size(), addSize = _images.size();
-    startIndices.resize( prevSize + addSize );
-
-    if( prevSize == 0 )
-        startIndices[prevSize] = 0; //first
-    else
-        startIndices[prevSize] = (int)(startIndices[prevSize-1] + keypoints[prevSize-1].size());
-
-    for( size_t i = prevSize + 1; i < prevSize + addSize; i++ )
-    {
-        startIndices[i] = (int)(startIndices[i - 1] + keypoints[i - 1].size());
-    }
-}
-
-void GenericDescriptorMatcher::KeyPointCollection::clear()
-{
-    pointCount = 0;
-
-    images.clear();
-    keypoints.clear();
-    startIndices.clear();
-}
-
-size_t GenericDescriptorMatcher::KeyPointCollection::keypointCount() const
-{
-    return pointCount;
-}
-
-size_t GenericDescriptorMatcher::KeyPointCollection::imageCount() const
-{
-    return images.size();
-}
-
-const std::vector<std::vector<KeyPoint> >& GenericDescriptorMatcher::KeyPointCollection::getKeypoints() const
-{
-    return keypoints;
-}
-
-const std::vector<KeyPoint>& GenericDescriptorMatcher::KeyPointCollection::getKeypoints( int imgIdx ) const
-{
-    CV_Assert( imgIdx < (int)imageCount() );
-    return keypoints[imgIdx];
-}
-
-const KeyPoint& GenericDescriptorMatcher::KeyPointCollection::getKeyPoint( int imgIdx, int localPointIdx ) const
-{
-    CV_Assert( imgIdx < (int)images.size() );
-    CV_Assert( localPointIdx < (int)keypoints[imgIdx].size() );
-    return keypoints[imgIdx][localPointIdx];
-}
-
-const KeyPoint& GenericDescriptorMatcher::KeyPointCollection::getKeyPoint( int globalPointIdx ) const
-{
-    int imgIdx, localPointIdx;
-    getLocalIdx( globalPointIdx, imgIdx, localPointIdx );
-    return keypoints[imgIdx][localPointIdx];
-}
-
-void GenericDescriptorMatcher::KeyPointCollection::getLocalIdx( int globalPointIdx, int& imgIdx, int& localPointIdx ) const
-{
-    imgIdx = -1;
-    CV_Assert( globalPointIdx < (int)keypointCount() );
-    for( size_t i = 1; i < startIndices.size(); i++ )
-    {
-        if( globalPointIdx < startIndices[i] )
-        {
-            imgIdx = (int)(i - 1);
-            break;
-        }
-    }
-    imgIdx = imgIdx == -1 ? (int)(startIndices.size() - 1) : imgIdx;
-    localPointIdx = globalPointIdx - startIndices[imgIdx];
-}
-
-const std::vector<Mat>& GenericDescriptorMatcher::KeyPointCollection::getImages() const
-{
-    return images;
-}
-
-const Mat& GenericDescriptorMatcher::KeyPointCollection::getImage( int imgIdx ) const
-{
-    CV_Assert( imgIdx < (int)imageCount() );
-    return images[imgIdx];
-}
-
-/*
- * GenericDescriptorMatcher
- */
-GenericDescriptorMatcher::GenericDescriptorMatcher()
-{}
-
-GenericDescriptorMatcher::~GenericDescriptorMatcher()
-{}
-
-void GenericDescriptorMatcher::add( InputArrayOfArrays _images,
-                                    std::vector<std::vector<KeyPoint> >& keypoints )
-{
-    std::vector<Mat> images;
-    _images.getMatVector(images);
-    CV_Assert( !images.empty() );
-    CV_Assert( images.size() == keypoints.size() );
-
-    for( size_t i = 0; i < images.size(); i++ )
-    {
-        CV_Assert( !images[i].empty() );
-        KeyPointsFilter::runByImageBorder( keypoints[i], images[i].size(), 0 );
-        KeyPointsFilter::runByKeypointSize( keypoints[i], std::numeric_limits<float>::epsilon() );
-    }
-
-    trainPointCollection.add( images, keypoints );
-}
-
-const std::vector<Mat>& GenericDescriptorMatcher::getTrainImages() const
-{
-    return trainPointCollection.getImages();
-}
-
-const std::vector<std::vector<KeyPoint> >& GenericDescriptorMatcher::getTrainKeypoints() const
-{
-    return trainPointCollection.getKeypoints();
-}
-
-void GenericDescriptorMatcher::clear()
-{
-    trainPointCollection.clear();
-}
-
-void GenericDescriptorMatcher::train()
-{}
-
-void GenericDescriptorMatcher::classify( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                         InputArray trainImage, std::vector<KeyPoint>& trainKeypoints ) const
-{
-    std::vector<DMatch> matches;
-    match( queryImage, queryKeypoints, trainImage, trainKeypoints, matches );
-
-    // remap keypoint indices to descriptors
-    for( size_t i = 0; i < matches.size(); i++ )
-        queryKeypoints[matches[i].queryIdx].class_id = trainKeypoints[matches[i].trainIdx].class_id;
-}
-
-void GenericDescriptorMatcher::classify( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints )
-{
-    std::vector<DMatch> matches;
-    match( queryImage, queryKeypoints, matches );
-
-    // remap keypoint indices to descriptors
-    for( size_t i = 0; i < matches.size(); i++ )
-        queryKeypoints[matches[i].queryIdx].class_id = trainPointCollection.getKeyPoint( matches[i].trainIdx, matches[i].trainIdx ).class_id;
-}
-
-void GenericDescriptorMatcher::match( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                      InputArray _trainImage, std::vector<KeyPoint>& trainKeypoints,
-                                      std::vector<DMatch>& matches, InputArray mask ) const
-{
-    Mat trainImage = _trainImage.getMat();
-    Ptr<GenericDescriptorMatcher> tempMatcher = clone( true );
-    std::vector<std::vector<KeyPoint> > vecTrainPoints(1, trainKeypoints);
-    tempMatcher->add( std::vector<Mat>(1, trainImage), vecTrainPoints );
-    tempMatcher->match( queryImage, queryKeypoints, matches, std::vector<Mat>(1, mask.getMat()) );
-    vecTrainPoints[0].swap( trainKeypoints );
-}
-
-void GenericDescriptorMatcher::knnMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                         InputArray _trainImage, std::vector<KeyPoint>& trainKeypoints,
-                                         std::vector<std::vector<DMatch> >& matches, int knn, InputArray mask, bool compactResult ) const
-{
-    Mat trainImage = _trainImage.getMat();
-    Ptr<GenericDescriptorMatcher> tempMatcher = clone( true );
-    std::vector<std::vector<KeyPoint> > vecTrainPoints(1, trainKeypoints);
-    tempMatcher->add( std::vector<Mat>(1, trainImage), vecTrainPoints );
-    tempMatcher->knnMatch( queryImage, queryKeypoints, matches, knn, std::vector<Mat>(1, mask.getMat()), compactResult );
-    vecTrainPoints[0].swap( trainKeypoints );
-}
-
-void GenericDescriptorMatcher::radiusMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                            InputArray _trainImage, std::vector<KeyPoint>& trainKeypoints,
-                                            std::vector<std::vector<DMatch> >& matches, float maxDistance,
-                                            InputArray mask, bool compactResult ) const
-{
-    Mat trainImage = _trainImage.getMat();
-    Ptr<GenericDescriptorMatcher> tempMatcher = clone( true );
-    std::vector<std::vector<KeyPoint> > vecTrainPoints(1, trainKeypoints);
-    tempMatcher->add( std::vector<Mat>(1, trainImage), vecTrainPoints );
-    tempMatcher->radiusMatch( queryImage, queryKeypoints, matches, maxDistance, std::vector<Mat>(1, mask.getMat()), compactResult );
-    vecTrainPoints[0].swap( trainKeypoints );
-}
-
-void GenericDescriptorMatcher::match( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                      std::vector<DMatch>& matches, InputArrayOfArrays masks )
-{
-    std::vector<std::vector<DMatch> > knnMatches;
-    knnMatch( queryImage, queryKeypoints, knnMatches, 1, masks, false );
-    convertMatches( knnMatches, matches );
-}
-
-void GenericDescriptorMatcher::knnMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                         std::vector<std::vector<DMatch> >& matches, int knn,
-                                         InputArrayOfArrays masks, bool compactResult )
-{
-    matches.clear();
-
-    if( queryImage.empty() || queryKeypoints.empty() )
-        return;
-
-    KeyPointsFilter::runByImageBorder( queryKeypoints, queryImage.size(), 0 );
-    KeyPointsFilter::runByKeypointSize( queryKeypoints, std::numeric_limits<float>::epsilon() );
-
-    train();
-    knnMatchImpl( queryImage, queryKeypoints, matches, knn, masks, compactResult );
-}
-
-void GenericDescriptorMatcher::radiusMatch( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                            std::vector<std::vector<DMatch> >& matches, float maxDistance,
-                                            InputArrayOfArrays masks, bool compactResult )
-{
-    matches.clear();
-
-    if( queryImage.empty() || queryKeypoints.empty() )
-        return;
-
-    KeyPointsFilter::runByImageBorder( queryKeypoints, queryImage.size(), 0 );
-    KeyPointsFilter::runByKeypointSize( queryKeypoints, std::numeric_limits<float>::epsilon() );
-
-    train();
-    radiusMatchImpl( queryImage, queryKeypoints, matches, maxDistance, masks, compactResult );
-}
-
-void GenericDescriptorMatcher::read( const FileNode& )
-{}
-
-void GenericDescriptorMatcher::write( FileStorage& ) const
-{}
-
-bool GenericDescriptorMatcher::empty() const
-{
-    return true;
-}
-
-/*
- * Factory function for GenericDescriptorMatch creating
- */
-Ptr<GenericDescriptorMatcher> GenericDescriptorMatcher::create( const String& genericDescritptorMatcherType,
-                                                                const String &paramsFilename )
-{
-    Ptr<GenericDescriptorMatcher> descriptorMatcher =
-        Algorithm::create<GenericDescriptorMatcher>("DescriptorMatcher." + genericDescritptorMatcherType);
-
-    if( !paramsFilename.empty() && descriptorMatcher )
-    {
-        FileStorage fs = FileStorage( paramsFilename, FileStorage::READ );
-        if( fs.isOpened() )
-        {
-            descriptorMatcher->read( fs.root() );
-            fs.release();
-        }
-    }
-    return descriptorMatcher;
-}
-
-
-/****************************************************************************************\
-*                                  VectorDescriptorMatcher                               *
-\****************************************************************************************/
-VectorDescriptorMatcher::VectorDescriptorMatcher( const Ptr<DescriptorExtractor>& _extractor,
-                                                  const Ptr<DescriptorMatcher>& _matcher )
-                                : extractor( _extractor ), matcher( _matcher )
-{
-    CV_Assert( extractor && matcher );
-}
-
-VectorDescriptorMatcher::~VectorDescriptorMatcher()
-{}
-
-void VectorDescriptorMatcher::add( InputArrayOfArrays _imgCollection,
-                                   std::vector<std::vector<KeyPoint> >& pointCollection )
-{
-    std::vector<Mat> imgCollection, descriptors;
-    _imgCollection.getMatVector(imgCollection);
-    extractor->compute( imgCollection, pointCollection, descriptors );
-
-    matcher->add( descriptors );
-
-    trainPointCollection.add( imgCollection, pointCollection );
-}
-
-void VectorDescriptorMatcher::clear()
-{
-    //extractor->clear();
-    matcher->clear();
-    GenericDescriptorMatcher::clear();
-}
-
-void VectorDescriptorMatcher::train()
-{
-    matcher->train();
-}
-
-bool VectorDescriptorMatcher::isMaskSupported()
-{
-    return matcher->isMaskSupported();
-}
-
-void VectorDescriptorMatcher::knnMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                            std::vector<std::vector<DMatch> >& matches, int knn,
-                                            InputArrayOfArrays masks, bool compactResult )
-{
-    Mat queryDescriptors;
-    extractor->compute( queryImage, queryKeypoints, queryDescriptors );
-    matcher->knnMatch( queryDescriptors, matches, knn, masks, compactResult );
-}
-
-void VectorDescriptorMatcher::radiusMatchImpl( InputArray queryImage, std::vector<KeyPoint>& queryKeypoints,
-                                               std::vector<std::vector<DMatch> >& matches, float maxDistance,
-                                               InputArrayOfArrays masks, bool compactResult )
-{
-    Mat queryDescriptors;
-    extractor->compute( queryImage, queryKeypoints, queryDescriptors );
-    matcher->radiusMatch( queryDescriptors, matches, maxDistance, masks, compactResult );
-}
-
-void VectorDescriptorMatcher::read( const FileNode& fn )
-{
-    GenericDescriptorMatcher::read(fn);
-    extractor->read(fn);
-}
-
-void VectorDescriptorMatcher::write (FileStorage& fs) const
-{
-    GenericDescriptorMatcher::write(fs);
-    extractor->write (fs);
-}
-
-bool VectorDescriptorMatcher::empty() const
-{
-    return !extractor || extractor->empty() ||
-           !matcher || matcher->empty();
-}
-
-Ptr<GenericDescriptorMatcher> VectorDescriptorMatcher::clone( bool emptyTrainData ) const
-{
-    // TODO clone extractor
-    return makePtr<VectorDescriptorMatcher>( extractor, matcher->clone(emptyTrainData) );
-}
-
 }
diff --git a/modules/features2d/src/stardetector.cpp b/modules/features2d/src/stardetector.cpp
deleted file mode 100644
index 0b09b8678b..0000000000
--- a/modules/features2d/src/stardetector.cpp
+++ /dev/null
@@ -1,472 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2008-2012, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of Intel Corporation may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "precomp.hpp"
-
-namespace cv
-{
-
-template <typename inMatType, typename outMatType> static void
-computeIntegralImages( const Mat& matI, Mat& matS, Mat& matT, Mat& _FT,
-                       int iiType )
-{
-    int x, y, rows = matI.rows, cols = matI.cols;
-
-    matS.create(rows + 1, cols + 1, iiType );
-    matT.create(rows + 1, cols + 1, iiType );
-    _FT.create(rows + 1, cols + 1, iiType );
-
-    const inMatType* I = matI.ptr<inMatType>();
-
-    outMatType *S = matS.ptr<outMatType>();
-    outMatType *T = matT.ptr<outMatType>();
-    outMatType *FT = _FT.ptr<outMatType>();
-
-    int istep = (int)(matI.step/matI.elemSize());
-    int step = (int)(matS.step/matS.elemSize());
-
-    for( x = 0; x <= cols; x++ )
-        S[x] = T[x] = FT[x] = 0;
-
-    S += step; T += step; FT += step;
-    S[0] = T[0] = 0;
-    FT[0] = I[0];
-    for( x = 1; x < cols; x++ )
-    {
-        S[x] = S[x-1] + I[x-1];
-        T[x] = I[x-1];
-        FT[x] = I[x] + I[x-1];
-    }
-    S[cols] = S[cols-1] + I[cols-1];
-    T[cols] = FT[cols] = I[cols-1];
-
-    for( y = 2; y <= rows; y++ )
-    {
-        I += istep, S += step, T += step, FT += step;
-
-        S[0] = S[-step]; S[1] = S[-step+1] + I[0];
-        T[0] = T[-step + 1];
-        T[1] = FT[0] = T[-step + 2] + I[-istep] + I[0];
-        FT[1] = FT[-step + 2] + I[-istep] + I[1] + I[0];
-
-        for( x = 2; x < cols; x++ )
-        {
-            S[x] = S[x - 1] + S[-step + x] - S[-step + x - 1] + I[x - 1];
-            T[x] = T[-step + x - 1] + T[-step + x + 1] - T[-step*2 + x] + I[-istep + x - 1] + I[x - 1];
-            FT[x] = FT[-step + x - 1] + FT[-step + x + 1] - FT[-step*2 + x] + I[x] + I[x-1];
-        }
-
-        S[cols] = S[cols - 1] + S[-step + cols] - S[-step + cols - 1] + I[cols - 1];
-        T[cols] = FT[cols] = T[-step + cols - 1] + I[-istep + cols - 1] + I[cols - 1];
-    }
-}
-
-template <typename iiMatType> static int
-StarDetectorComputeResponses( const Mat& img, Mat& responses, Mat& sizes,
-                              int maxSize, int iiType )
-{
-    const int MAX_PATTERN = 17;
-    static const int sizes0[] = {1, 2, 3, 4, 6, 8, 11, 12, 16, 22, 23, 32, 45, 46, 64, 90, 128, -1};
-    static const int pairs[][2] = {{1, 0}, {3, 1}, {4, 2}, {5, 3}, {7, 4}, {8, 5}, {9, 6},
-                                   {11, 8}, {13, 10}, {14, 11}, {15, 12}, {16, 14}, {-1, -1}};
-    float invSizes[MAX_PATTERN][2];
-    int sizes1[MAX_PATTERN];
-
-#if CV_SSE2
-    __m128 invSizes4[MAX_PATTERN][2];
-    __m128 sizes1_4[MAX_PATTERN];
-    union { int i; float f; } absmask;
-    absmask.i = 0x7fffffff;
-    volatile bool useSIMD = cv::checkHardwareSupport(CV_CPU_SSE2) && iiType == CV_32S;
-#endif
-
-    struct StarFeature
-    {
-        int area;
-        iiMatType* p[8];
-    };
-
-    StarFeature f[MAX_PATTERN];
-
-    Mat sum, tilted, flatTilted;
-    int y, rows = img.rows, cols = img.cols;
-    int border, npatterns=0, maxIdx=0;
-
-    responses.create( img.size(), CV_32F );
-    sizes.create( img.size(), CV_16S );
-
-    while( pairs[npatterns][0] >= 0 && !
-          ( sizes0[pairs[npatterns][0]] >= maxSize
-           || sizes0[pairs[npatterns+1][0]] + sizes0[pairs[npatterns+1][0]]/2 >= std::min(rows, cols) ) )
-    {
-        ++npatterns;
-    }
-
-    npatterns += (pairs[npatterns-1][0] >= 0);
-    maxIdx = pairs[npatterns-1][0];
-
-    // Create the integral image appropriate for our type & usage
-    if ( img.type() == CV_8U )
-        computeIntegralImages<uchar, iiMatType>( img, sum, tilted, flatTilted, iiType );
-    else if ( img.type() == CV_8S )
-        computeIntegralImages<char, iiMatType>( img, sum, tilted, flatTilted, iiType );
-    else if ( img.type() == CV_16U )
-        computeIntegralImages<ushort, iiMatType>( img, sum, tilted, flatTilted, iiType );
-    else if ( img.type() == CV_16S )
-        computeIntegralImages<short, iiMatType>( img, sum, tilted, flatTilted, iiType );
-    else
-        CV_Error( Error::StsUnsupportedFormat, "" );
-
-    int step = (int)(sum.step/sum.elemSize());
-
-    for(int i = 0; i <= maxIdx; i++ )
-    {
-        int ur_size = sizes0[i], t_size = sizes0[i] + sizes0[i]/2;
-        int ur_area = (2*ur_size + 1)*(2*ur_size + 1);
-        int t_area = t_size*t_size + (t_size + 1)*(t_size + 1);
-
-        f[i].p[0] = sum.ptr<iiMatType>() + (ur_size + 1)*step + ur_size + 1;
-        f[i].p[1] = sum.ptr<iiMatType>() - ur_size*step + ur_size + 1;
-        f[i].p[2] = sum.ptr<iiMatType>() + (ur_size + 1)*step - ur_size;
-        f[i].p[3] = sum.ptr<iiMatType>() - ur_size*step - ur_size;
-
-        f[i].p[4] = tilted.ptr<iiMatType>() + (t_size + 1)*step + 1;
-        f[i].p[5] = flatTilted.ptr<iiMatType>() - t_size;
-        f[i].p[6] = flatTilted.ptr<iiMatType>() + t_size + 1;
-        f[i].p[7] = tilted.ptr<iiMatType>() - t_size*step + 1;
-
-        f[i].area = ur_area + t_area;
-        sizes1[i] = sizes0[i];
-    }
-    // negate end points of the size range
-    // for a faster rejection of very small or very large features in non-maxima suppression.
-    sizes1[0] = -sizes1[0];
-    sizes1[1] = -sizes1[1];
-    sizes1[maxIdx] = -sizes1[maxIdx];
-    border = sizes0[maxIdx] + sizes0[maxIdx]/2;
-
-    for(int i = 0; i < npatterns; i++ )
-    {
-        int innerArea = f[pairs[i][1]].area;
-        int outerArea = f[pairs[i][0]].area - innerArea;
-        invSizes[i][0] = 1.f/outerArea;
-        invSizes[i][1] = 1.f/innerArea;
-    }
-
-#if CV_SSE2
-    if( useSIMD )
-    {
-        for(int i = 0; i < npatterns; i++ )
-        {
-            _mm_store_ps((float*)&invSizes4[i][0], _mm_set1_ps(invSizes[i][0]));
-            _mm_store_ps((float*)&invSizes4[i][1], _mm_set1_ps(invSizes[i][1]));
-        }
-
-        for(int i = 0; i <= maxIdx; i++ )
-            _mm_store_ps((float*)&sizes1_4[i], _mm_set1_ps((float)sizes1[i]));
-    }
-#endif
-
-    for( y = 0; y < border; y++ )
-    {
-        float* r_ptr = responses.ptr<float>(y);
-        float* r_ptr2 = responses.ptr<float>(rows - 1 - y);
-        short* s_ptr = sizes.ptr<short>(y);
-        short* s_ptr2 = sizes.ptr<short>(rows - 1 - y);
-
-        memset( r_ptr, 0, cols*sizeof(r_ptr[0]));
-        memset( r_ptr2, 0, cols*sizeof(r_ptr2[0]));
-        memset( s_ptr, 0, cols*sizeof(s_ptr[0]));
-        memset( s_ptr2, 0, cols*sizeof(s_ptr2[0]));
-    }
-
-    for( y = border; y < rows - border; y++ )
-    {
-        int x = border;
-        float* r_ptr = responses.ptr<float>(y);
-        short* s_ptr = sizes.ptr<short>(y);
-
-        memset( r_ptr, 0, border*sizeof(r_ptr[0]));
-        memset( s_ptr, 0, border*sizeof(s_ptr[0]));
-        memset( r_ptr + cols - border, 0, border*sizeof(r_ptr[0]));
-        memset( s_ptr + cols - border, 0, border*sizeof(s_ptr[0]));
-
-#if CV_SSE2
-        if( useSIMD )
-        {
-            __m128 absmask4 = _mm_set1_ps(absmask.f);
-            for( ; x <= cols - border - 4; x += 4 )
-            {
-                int ofs = y*step + x;
-                __m128 vals[MAX_PATTERN];
-                __m128 bestResponse = _mm_setzero_ps();
-                __m128 bestSize = _mm_setzero_ps();
-
-                for(int i = 0; i <= maxIdx; i++ )
-                {
-                    const iiMatType** p = (const iiMatType**)&f[i].p[0];
-                    __m128i r0 = _mm_sub_epi32(_mm_loadu_si128((const __m128i*)(p[0]+ofs)),
-                                               _mm_loadu_si128((const __m128i*)(p[1]+ofs)));
-                    __m128i r1 = _mm_sub_epi32(_mm_loadu_si128((const __m128i*)(p[3]+ofs)),
-                                               _mm_loadu_si128((const __m128i*)(p[2]+ofs)));
-                    __m128i r2 = _mm_sub_epi32(_mm_loadu_si128((const __m128i*)(p[4]+ofs)),
-                                               _mm_loadu_si128((const __m128i*)(p[5]+ofs)));
-                    __m128i r3 = _mm_sub_epi32(_mm_loadu_si128((const __m128i*)(p[7]+ofs)),
-                                               _mm_loadu_si128((const __m128i*)(p[6]+ofs)));
-                    r0 = _mm_add_epi32(_mm_add_epi32(r0,r1), _mm_add_epi32(r2,r3));
-                    _mm_store_ps((float*)&vals[i], _mm_cvtepi32_ps(r0));
-                }
-
-                for(int i = 0; i < npatterns; i++ )
-                {
-                    __m128 inner_sum = vals[pairs[i][1]];
-                    __m128 outer_sum = _mm_sub_ps(vals[pairs[i][0]], inner_sum);
-                    __m128 response = _mm_sub_ps(_mm_mul_ps(inner_sum, invSizes4[i][1]),
-                        _mm_mul_ps(outer_sum, invSizes4[i][0]));
-                    __m128 swapmask = _mm_cmpgt_ps(_mm_and_ps(response,absmask4),
-                        _mm_and_ps(bestResponse,absmask4));
-                    bestResponse = _mm_xor_ps(bestResponse,
-                        _mm_and_ps(_mm_xor_ps(response,bestResponse), swapmask));
-                    bestSize = _mm_xor_ps(bestSize,
-                        _mm_and_ps(_mm_xor_ps(sizes1_4[pairs[i][0]], bestSize), swapmask));
-                }
-
-                _mm_storeu_ps(r_ptr + x, bestResponse);
-                _mm_storel_epi64((__m128i*)(s_ptr + x),
-                    _mm_packs_epi32(_mm_cvtps_epi32(bestSize),_mm_setzero_si128()));
-            }
-        }
-#endif
-        for( ; x < cols - border; x++ )
-        {
-            int ofs = y*step + x;
-            int vals[MAX_PATTERN];
-            float bestResponse = 0;
-            int bestSize = 0;
-
-            for(int i = 0; i <= maxIdx; i++ )
-            {
-                const iiMatType** p = (const iiMatType**)&f[i].p[0];
-                vals[i] = (int)(p[0][ofs] - p[1][ofs] - p[2][ofs] + p[3][ofs] +
-                    p[4][ofs] - p[5][ofs] - p[6][ofs] + p[7][ofs]);
-            }
-            for(int i = 0; i < npatterns; i++ )
-            {
-                int inner_sum = vals[pairs[i][1]];
-                int outer_sum = vals[pairs[i][0]] - inner_sum;
-                float response = inner_sum*invSizes[i][1] - outer_sum*invSizes[i][0];
-                if( fabs(response) > fabs(bestResponse) )
-                {
-                    bestResponse = response;
-                    bestSize = sizes1[pairs[i][0]];
-                }
-            }
-
-            r_ptr[x] = bestResponse;
-            s_ptr[x] = (short)bestSize;
-        }
-    }
-
-    return border;
-}
-
-
-static bool StarDetectorSuppressLines( const Mat& responses, const Mat& sizes, Point pt,
-                                       int lineThresholdProjected, int lineThresholdBinarized )
-{
-    const float* r_ptr = responses.ptr<float>();
-    int rstep = (int)(responses.step/sizeof(r_ptr[0]));
-    const short* s_ptr = sizes.ptr<short>();
-    int sstep = (int)(sizes.step/sizeof(s_ptr[0]));
-    int sz = s_ptr[pt.y*sstep + pt.x];
-    int x, y, delta = sz/4, radius = delta*4;
-    float Lxx = 0, Lyy = 0, Lxy = 0;
-    int Lxxb = 0, Lyyb = 0, Lxyb = 0;
-
-    for( y = pt.y - radius; y <= pt.y + radius; y += delta )
-        for( x = pt.x - radius; x <= pt.x + radius; x += delta )
-        {
-            float Lx = r_ptr[y*rstep + x + 1] - r_ptr[y*rstep + x - 1];
-            float Ly = r_ptr[(y+1)*rstep + x] - r_ptr[(y-1)*rstep + x];
-            Lxx += Lx*Lx; Lyy += Ly*Ly; Lxy += Lx*Ly;
-        }
-
-    if( (Lxx + Lyy)*(Lxx + Lyy) >= lineThresholdProjected*(Lxx*Lyy - Lxy*Lxy) )
-        return true;
-
-    for( y = pt.y - radius; y <= pt.y + radius; y += delta )
-        for( x = pt.x - radius; x <= pt.x + radius; x += delta )
-        {
-            int Lxb = (s_ptr[y*sstep + x + 1] == sz) - (s_ptr[y*sstep + x - 1] == sz);
-            int Lyb = (s_ptr[(y+1)*sstep + x] == sz) - (s_ptr[(y-1)*sstep + x] == sz);
-            Lxxb += Lxb * Lxb; Lyyb += Lyb * Lyb; Lxyb += Lxb * Lyb;
-        }
-
-    if( (Lxxb + Lyyb)*(Lxxb + Lyyb) >= lineThresholdBinarized*(Lxxb*Lyyb - Lxyb*Lxyb) )
-        return true;
-
-    return false;
-}
-
-
-static void
-StarDetectorSuppressNonmax( const Mat& responses, const Mat& sizes,
-                            std::vector<KeyPoint>& keypoints, int border,
-                            int responseThreshold,
-                            int lineThresholdProjected,
-                            int lineThresholdBinarized,
-                            int suppressNonmaxSize )
-{
-    int x, y, x1, y1, delta = suppressNonmaxSize/2;
-    int rows = responses.rows, cols = responses.cols;
-    const float* r_ptr = responses.ptr<float>();
-    int rstep = (int)(responses.step/sizeof(r_ptr[0]));
-    const short* s_ptr = sizes.ptr<short>();
-    int sstep = (int)(sizes.step/sizeof(s_ptr[0]));
-    short featureSize = 0;
-
-    for( y = border; y < rows - border; y += delta+1 )
-        for( x = border; x < cols - border; x += delta+1 )
-        {
-            float maxResponse = (float)responseThreshold;
-            float minResponse = (float)-responseThreshold;
-            Point maxPt(-1, -1), minPt(-1, -1);
-            int tileEndY = MIN(y + delta, rows - border - 1);
-            int tileEndX = MIN(x + delta, cols - border - 1);
-
-            for( y1 = y; y1 <= tileEndY; y1++ )
-                for( x1 = x; x1 <= tileEndX; x1++ )
-                {
-                    float val = r_ptr[y1*rstep + x1];
-                    if( maxResponse < val )
-                    {
-                        maxResponse = val;
-                        maxPt = Point(x1, y1);
-                    }
-                    else if( minResponse > val )
-                    {
-                        minResponse = val;
-                        minPt = Point(x1, y1);
-                    }
-                }
-
-            if( maxPt.x >= 0 )
-            {
-                for( y1 = maxPt.y - delta; y1 <= maxPt.y + delta; y1++ )
-                    for( x1 = maxPt.x - delta; x1 <= maxPt.x + delta; x1++ )
-                    {
-                        float val = r_ptr[y1*rstep + x1];
-                        if( val >= maxResponse && (y1 != maxPt.y || x1 != maxPt.x))
-                            goto skip_max;
-                    }
-
-                if( (featureSize = s_ptr[maxPt.y*sstep + maxPt.x]) >= 4 &&
-                    !StarDetectorSuppressLines( responses, sizes, maxPt, lineThresholdProjected,
-                                                lineThresholdBinarized ))
-                {
-                    KeyPoint kpt((float)maxPt.x, (float)maxPt.y, featureSize, -1, maxResponse);
-                    keypoints.push_back(kpt);
-                }
-            }
-        skip_max:
-            if( minPt.x >= 0 )
-            {
-                for( y1 = minPt.y - delta; y1 <= minPt.y + delta; y1++ )
-                    for( x1 = minPt.x - delta; x1 <= minPt.x + delta; x1++ )
-                    {
-                        float val = r_ptr[y1*rstep + x1];
-                        if( val <= minResponse && (y1 != minPt.y || x1 != minPt.x))
-                            goto skip_min;
-                    }
-
-                if( (featureSize = s_ptr[minPt.y*sstep + minPt.x]) >= 4 &&
-                    !StarDetectorSuppressLines( responses, sizes, minPt,
-                                               lineThresholdProjected, lineThresholdBinarized))
-                {
-                    KeyPoint kpt((float)minPt.x, (float)minPt.y, featureSize, -1, maxResponse);
-                    keypoints.push_back(kpt);
-                }
-            }
-        skip_min:
-            ;
-        }
-}
-
-StarDetector::StarDetector(int _maxSize, int _responseThreshold,
-                           int _lineThresholdProjected,
-                           int _lineThresholdBinarized,
-                           int _suppressNonmaxSize)
-: maxSize(_maxSize), responseThreshold(_responseThreshold),
-    lineThresholdProjected(_lineThresholdProjected),
-    lineThresholdBinarized(_lineThresholdBinarized),
-    suppressNonmaxSize(_suppressNonmaxSize)
-{}
-
-
-void StarDetector::detectImpl( InputArray _image, std::vector<KeyPoint>& keypoints, InputArray _mask ) const
-{
-    Mat image = _image.getMat(), mask = _mask.getMat(), grayImage = image;
-    if( image.channels() > 1 ) cvtColor( image, grayImage, COLOR_BGR2GRAY );
-
-    (*this)(grayImage, keypoints);
-    KeyPointsFilter::runByPixelsMask( keypoints, mask );
-}
-
-void StarDetector::operator()(const Mat& img, std::vector<KeyPoint>& keypoints) const
-{
-    Mat responses, sizes;
-    int border;
-
-    // Use 32-bit integers if we won't overflow in the integral image
-    if ((img.depth() == CV_8U || img.depth() == CV_8S) &&
-        (img.rows * img.cols) < 8388608 ) // 8388608 = 2 ^ (32 - 8(bit depth) - 1(sign bit))
-        border = StarDetectorComputeResponses<int>( img, responses, sizes, maxSize, CV_32S );
-    else
-        border = StarDetectorComputeResponses<double>( img, responses, sizes, maxSize, CV_64F );
-
-    keypoints.clear();
-    if( border >= 0 )
-        StarDetectorSuppressNonmax( responses, sizes, keypoints, border,
-                                    responseThreshold, lineThresholdProjected,
-                                    lineThresholdBinarized, suppressNonmaxSize );
-}
-
-}
diff --git a/modules/java/generator/rst_parser.py b/modules/java/generator/rst_parser.py
index 78114aedb1..dba9fe3fa0 100755
--- a/modules/java/generator/rst_parser.py
+++ b/modules/java/generator/rst_parser.py
@@ -2,7 +2,7 @@
 
 from __future__ import print_function
 import os, sys, re, string, fnmatch
-allmodules = ["core", "flann", "imgproc", "imgcodecs", "videoio", "highgui", "video", "features2d", "calib3d", "objdetect", "legacy", "contrib", "cuda", "androidcamera", "java", "python", "stitching", "ts", "photo", "nonfree", "videostab", "softcascade", "superres"]
+allmodules = ["core", "flann", "imgproc", "imgcodecs", "videoio", "highgui", "video", "features2d", "calib3d", "objdetect", "legacy", "contrib", "cuda", "androidcamera", "java", "python", "stitching", "ts", "photo", "videostab", "softcascade", "superres"]
 verbose = False
 show_warnings = True
 show_errors = True
@@ -12,7 +12,6 @@ params_blacklist = {
     "fromarray" : ("object", "allowND"), # python only function
     "reprojectImageTo3D" : ("ddepth"),   # python only argument
     "composeRT" : ("d*d*"),              # wildchards in parameter names are not supported by this parser
-    "CvSVM::train_auto" : ("\\*Grid"),   # wildchards in parameter names are not supported by this parser
     "error" : "args", # parameter of supporting macro
     "getConvertElem" : ("from", "cn", "to", "beta", "alpha"), # arguments of returned functions
     "gpu::swapChannels" : ("dstOrder") # parameter is not parsed correctly by the hdr_parser
diff --git a/modules/java/generator/src/cpp/jni_part.cpp b/modules/java/generator/src/cpp/jni_part.cpp
index a4ac0d553a..c8475d0e8f 100644
--- a/modules/java/generator/src/cpp/jni_part.cpp
+++ b/modules/java/generator/src/cpp/jni_part.cpp
@@ -2,10 +2,6 @@
 
 #include "opencv2/opencv_modules.hpp"
 
-#ifdef HAVE_OPENCV_NONFREE
-#  include "opencv2/nonfree.hpp"
-#endif
-
 #ifdef HAVE_OPENCV_FEATURES2D
 #  include "opencv2/features2d.hpp"
 #endif
@@ -28,9 +24,6 @@ JNI_OnLoad(JavaVM* vm, void* )
         return -1;
 
     bool init = true;
-#ifdef HAVE_OPENCV_NONFREE
-    init &= cv::initModule_nonfree();
-#endif
 #ifdef HAVE_OPENCV_FEATURES2D
     init &= cv::initModule_features2d();
 #endif
diff --git a/modules/nonfree/CMakeLists.txt b/modules/nonfree/CMakeLists.txt
deleted file mode 100644
index 851646f259..0000000000
--- a/modules/nonfree/CMakeLists.txt
+++ /dev/null
@@ -1,7 +0,0 @@
-if(BUILD_ANDROID_PACKAGE)
-  ocv_module_disable(nonfree)
-endif()
-
-set(the_description "Functionality with possible limitations on the use")
-ocv_warnings_disable(CMAKE_CXX_FLAGS -Wundef -Wshadow)
-ocv_define_module(nonfree opencv_imgproc opencv_features2d opencv_calib3d OPTIONAL opencv_cudaarithm)
diff --git a/modules/nonfree/doc/feature_detection.rst b/modules/nonfree/doc/feature_detection.rst
deleted file mode 100644
index b61b85cd8b..0000000000
--- a/modules/nonfree/doc/feature_detection.rst
+++ /dev/null
@@ -1,250 +0,0 @@
-Feature Detection and Description
-=================================
-
-SIFT
-----
-.. ocv:class:: SIFT : public Feature2D
-
-Class for extracting keypoints and computing descriptors using the Scale Invariant Feature Transform (SIFT) algorithm by D. Lowe [Lowe04]_.
-
-.. [Lowe04] Lowe, D. G., “Distinctive Image Features from Scale-Invariant Keypoints�, International Journal of Computer Vision, 60, 2, pp. 91-110, 2004.
-
-
-SIFT::SIFT
-----------
-The SIFT constructors.
-
-.. ocv:function:: SIFT::SIFT( int nfeatures=0, int nOctaveLayers=3, double contrastThreshold=0.04, double edgeThreshold=10, double sigma=1.6)
-
-.. ocv:pyfunction:: cv2.SIFT([, nfeatures[, nOctaveLayers[, contrastThreshold[, edgeThreshold[, sigma]]]]]) -> <SIFT object>
-
-    :param nfeatures: The number of best features to retain. The features are ranked by their scores (measured in SIFT algorithm as the local contrast)
-
-    :param nOctaveLayers: The number of layers in each octave. 3 is the value used in D. Lowe paper. The number of octaves is computed automatically from the image resolution.
-
-    :param contrastThreshold: The contrast threshold used to filter out weak features in semi-uniform (low-contrast) regions. The larger the threshold, the less features are produced by the detector.
-
-    :param edgeThreshold: The threshold used to filter out edge-like features. Note that the its meaning is different from the contrastThreshold, i.e. the larger the ``edgeThreshold``, the less features are filtered out (more features are retained).
-
-    :param sigma: The sigma of the Gaussian applied to the input image at the octave #0. If your image is captured with a weak camera with soft lenses, you might want to reduce the number.
-
-
-SIFT::operator ()
------------------
-Extract features and computes their descriptors using SIFT algorithm
-
-.. ocv:function:: void SIFT::operator()(InputArray img, InputArray mask, vector<KeyPoint>& keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
-
-.. ocv:pyfunction:: cv2.SIFT.detect(image[, mask]) -> keypoints
-
-.. ocv:pyfunction:: cv2.SIFT.compute(image, keypoints[, descriptors]) -> keypoints, descriptors
-
-.. ocv:pyfunction:: cv2.SIFT.detectAndCompute(image, mask[, descriptors[, useProvidedKeypoints]]) -> keypoints, descriptors
-
-    :param img: Input 8-bit grayscale image
-
-    :param mask: Optional input mask that marks the regions where we should detect features.
-
-    :param keypoints: The input/output vector of keypoints
-
-    :param descriptors: The output matrix of descriptors. Pass ``cv::noArray()`` if you do not need them.
-
-    :param useProvidedKeypoints: Boolean flag. If it is true, the keypoint detector is not run. Instead, the provided vector of keypoints is used and the algorithm just computes their descriptors.
-
-.. note:: Python API provides three functions. First one finds keypoints only. Second function computes the descriptors based on the keypoints we provide. Third function detects the keypoints and computes their descriptors. If you want both keypoints and descriptors, directly use third function as ``kp, des = cv2.SIFT.detectAndCompute(image, None)``
-
-SURF
-----
-.. ocv:class:: SURF : public Feature2D
-
-  Class for extracting Speeded Up Robust Features from an image [Bay06]_. The class is derived from ``CvSURFParams`` structure, which specifies the algorithm parameters:
-
-  .. ocv:member:: int extended
-
-     * 0 means that the basic descriptors (64 elements each) shall be computed
-     * 1 means that the extended descriptors (128 elements each) shall be computed
-
-  .. ocv:member:: int upright
-
-     * 0 means that detector computes orientation of each feature.
-     * 1 means that the orientation is not computed (which is much, much faster). For example, if you match images from a stereo pair, or do image stitching, the matched features likely have very similar angles, and you can speed up feature extraction by setting ``upright=1``.
-
-  .. ocv:member:: double hessianThreshold
-
-     Threshold for the keypoint detector. Only features, whose hessian is larger than ``hessianThreshold`` are retained by the detector. Therefore, the larger the value, the less keypoints you will get. A good default value could be from 300 to 500, depending from the image contrast.
-
-  .. ocv:member:: int nOctaves
-
-     The number of a gaussian pyramid octaves that the detector uses. It is set to 4 by default. If you want to get very large features, use the larger value. If you want just small features, decrease it.
-
-  .. ocv:member:: int nOctaveLayers
-
-     The number of images within each octave of a gaussian pyramid. It is set to 2 by default.
-
-
-.. [Bay06] Bay, H. and Tuytelaars, T. and Van Gool, L. "SURF: Speeded Up Robust Features", 9th European Conference on Computer Vision, 2006
-
-.. note::
-
-   * An example using the SURF feature detector can be found at opencv_source_code/samples/cpp/generic_descriptor_match.cpp
-   * Another example using the SURF feature detector, extractor and matcher can be found at opencv_source_code/samples/cpp/matcher_simple.cpp
-
-SURF::SURF
-----------
-The SURF extractor constructors.
-
-.. ocv:function:: SURF::SURF()
-
-.. ocv:function:: SURF::SURF( double hessianThreshold, int nOctaves=4, int nOctaveLayers=2, bool extended=true, bool upright=false )
-
-.. ocv:pyfunction:: cv2.SURF([hessianThreshold[, nOctaves[, nOctaveLayers[, extended[, upright]]]]]) -> <SURF object>
-
-    :param hessianThreshold: Threshold for hessian keypoint detector used in SURF.
-
-    :param nOctaves: Number of pyramid octaves the keypoint detector will use.
-
-    :param nOctaveLayers: Number of octave layers within each octave.
-
-    :param extended: Extended descriptor flag (true - use extended 128-element descriptors; false - use 64-element descriptors).
-
-    :param upright: Up-right or rotated features flag (true - do not compute orientation of features; false - compute orientation).
-
-
-SURF::operator()
-----------------
-Detects keypoints and computes SURF descriptors for them.
-
-.. ocv:function:: void SURF::operator()(InputArray img, InputArray mask, vector<KeyPoint>& keypoints) const
-.. ocv:function:: void SURF::operator()(InputArray img, InputArray mask, vector<KeyPoint>& keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
-
-.. ocv:pyfunction:: cv2.SURF.detect(image[, mask]) -> keypoints
-.. ocv:pyfunction:: cv2.SURF.compute(image, keypoints[, descriptors]) -> keypoints, descriptors
-.. ocv:pyfunction:: cv2.SURF.detectAndCompute(image, mask[, descriptors[, useProvidedKeypoints]]) -> keypoints, descriptors
-
-.. ocv:pyfunction:: cv2.SURF.detectAndCompute(image[, mask]) -> keypoints, descriptors
-
-.. ocv:cfunction:: void cvExtractSURF( const CvArr* image, const CvArr* mask, CvSeq** keypoints, CvSeq** descriptors, CvMemStorage* storage, CvSURFParams params )
-
-    :param image: Input 8-bit grayscale image
-
-    :param mask: Optional input mask that marks the regions where we should detect features.
-
-    :param keypoints: The input/output vector of keypoints
-
-    :param descriptors: The output matrix of descriptors. Pass ``cv::noArray()`` if you do not need them.
-
-    :param useProvidedKeypoints: Boolean flag. If it is true, the keypoint detector is not run. Instead, the provided vector of keypoints is used and the algorithm just computes their descriptors.
-
-    :param storage: Memory storage for the output keypoints and descriptors in OpenCV 1.x API.
-
-    :param params: SURF algorithm parameters in OpenCV 1.x API.
-
-The function is parallelized with the TBB library.
-
-If you are using the C version, make sure you call ``cv::initModule_nonfree()`` from ``nonfree/nonfree.hpp``.
-
-
-cuda::SURF_CUDA
----------------
-.. ocv:class:: cuda::SURF_CUDA
-
-Class used for extracting Speeded Up Robust Features (SURF) from an image. ::
-
-    class SURF_CUDA
-    {
-    public:
-        enum KeypointLayout
-        {
-            X_ROW = 0,
-            Y_ROW,
-            LAPLACIAN_ROW,
-            OCTAVE_ROW,
-            SIZE_ROW,
-            ANGLE_ROW,
-            HESSIAN_ROW,
-            ROWS_COUNT
-        };
-
-        //! the default constructor
-        SURF_CUDA();
-        //! the full constructor taking all the necessary parameters
-        explicit SURF_CUDA(double _hessianThreshold, int _nOctaves=4,
-             int _nOctaveLayers=2, bool _extended=false, float _keypointsRatio=0.01f);
-
-        //! returns the descriptor size in float's (64 or 128)
-        int descriptorSize() const;
-
-        //! upload host keypoints to device memory
-        void uploadKeypoints(const vector<KeyPoint>& keypoints,
-            GpuMat& keypointsGPU);
-        //! download keypoints from device to host memory
-        void downloadKeypoints(const GpuMat& keypointsGPU,
-            vector<KeyPoint>& keypoints);
-
-        //! download descriptors from device to host memory
-        void downloadDescriptors(const GpuMat& descriptorsGPU,
-            vector<float>& descriptors);
-
-        void operator()(const GpuMat& img, const GpuMat& mask,
-            GpuMat& keypoints);
-
-        void operator()(const GpuMat& img, const GpuMat& mask,
-            GpuMat& keypoints, GpuMat& descriptors,
-            bool useProvidedKeypoints = false,
-            bool calcOrientation = true);
-
-        void operator()(const GpuMat& img, const GpuMat& mask,
-            std::vector<KeyPoint>& keypoints);
-
-        void operator()(const GpuMat& img, const GpuMat& mask,
-            std::vector<KeyPoint>& keypoints, GpuMat& descriptors,
-            bool useProvidedKeypoints = false,
-            bool calcOrientation = true);
-
-        void operator()(const GpuMat& img, const GpuMat& mask,
-            std::vector<KeyPoint>& keypoints,
-            std::vector<float>& descriptors,
-            bool useProvidedKeypoints = false,
-            bool calcOrientation = true);
-
-        void releaseMemory();
-
-        // SURF parameters
-        double hessianThreshold;
-        int nOctaves;
-        int nOctaveLayers;
-        bool extended;
-        bool upright;
-
-        //! max keypoints = keypointsRatio * img.size().area()
-        float keypointsRatio;
-
-        GpuMat sum, mask1, maskSum, intBuffer;
-
-        GpuMat det, trace;
-
-        GpuMat maxPosBuffer;
-    };
-
-
-The class ``SURF_CUDA`` implements Speeded Up Robust Features descriptor. There is a fast multi-scale Hessian keypoint detector that can be used to find the keypoints (which is the default option). But the descriptors can also be computed for the user-specified keypoints. Only 8-bit grayscale images are supported.
-
-The class ``SURF_CUDA`` can store results in the GPU and CPU memory. It provides functions to convert results between CPU and GPU version ( ``uploadKeypoints``, ``downloadKeypoints``, ``downloadDescriptors`` ). The format of CPU results is the same as ``SURF`` results. GPU results are stored in ``GpuMat``. The ``keypoints`` matrix is :math:`\texttt{nFeatures} \times 7` matrix with the ``CV_32FC1`` type.
-
-* ``keypoints.ptr<float>(X_ROW)[i]`` contains x coordinate of the i-th feature.
-* ``keypoints.ptr<float>(Y_ROW)[i]`` contains y coordinate of the i-th feature.
-* ``keypoints.ptr<float>(LAPLACIAN_ROW)[i]``  contains the laplacian sign of the i-th feature.
-* ``keypoints.ptr<float>(OCTAVE_ROW)[i]`` contains the octave of the i-th feature.
-* ``keypoints.ptr<float>(SIZE_ROW)[i]`` contains the size of the i-th feature.
-* ``keypoints.ptr<float>(ANGLE_ROW)[i]`` contain orientation of the i-th feature.
-* ``keypoints.ptr<float>(HESSIAN_ROW)[i]`` contains the response of the i-th feature.
-
-The ``descriptors`` matrix is :math:`\texttt{nFeatures} \times \texttt{descriptorSize}` matrix with the ``CV_32FC1`` type.
-
-The class ``SURF_CUDA`` uses some buffers and provides access to it. All buffers can be safely released between function calls.
-
-.. seealso:: :ocv:class:`SURF`
-
-.. note::
-
-   * An example for using the SURF keypoint matcher on GPU can be found at opencv_source_code/samples/gpu/surf_keypoint_matcher.cpp
diff --git a/modules/nonfree/doc/nonfree.rst b/modules/nonfree/doc/nonfree.rst
deleted file mode 100644
index e524ea82f8..0000000000
--- a/modules/nonfree/doc/nonfree.rst
+++ /dev/null
@@ -1,10 +0,0 @@
-********************************
-nonfree. Non-free functionality
-********************************
-
-The module contains algorithms that may be patented in some countries or have some other limitations on the use.
-
-.. toctree::
-    :maxdepth: 2
-
-    feature_detection
diff --git a/modules/nonfree/include/opencv2/nonfree.hpp b/modules/nonfree/include/opencv2/nonfree.hpp
deleted file mode 100644
index da8e535a87..0000000000
--- a/modules/nonfree/include/opencv2/nonfree.hpp
+++ /dev/null
@@ -1,57 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009-2012, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#ifndef __OPENCV_NONFREE_HPP__
-#define __OPENCV_NONFREE_HPP__
-
-#include "opencv2/nonfree/features2d.hpp"
-
-namespace cv
-{
-
-CV_EXPORTS bool initModule_nonfree();
-
-}
-
-#endif
-
-/* End of file. */
diff --git a/modules/nonfree/include/opencv2/nonfree/cuda.hpp b/modules/nonfree/include/opencv2/nonfree/cuda.hpp
deleted file mode 100644
index 0e1f8e5518..0000000000
--- a/modules/nonfree/include/opencv2/nonfree/cuda.hpp
+++ /dev/null
@@ -1,128 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#ifndef __OPENCV_NONFREE_CUDA_HPP__
-#define __OPENCV_NONFREE_CUDA_HPP__
-
-#include "opencv2/core/cuda.hpp"
-
-namespace cv { namespace cuda {
-
-class CV_EXPORTS SURF_CUDA
-{
-public:
-    enum KeypointLayout
-    {
-        X_ROW = 0,
-        Y_ROW,
-        LAPLACIAN_ROW,
-        OCTAVE_ROW,
-        SIZE_ROW,
-        ANGLE_ROW,
-        HESSIAN_ROW,
-        ROWS_COUNT
-    };
-
-    //! the default constructor
-    SURF_CUDA();
-    //! the full constructor taking all the necessary parameters
-    explicit SURF_CUDA(double _hessianThreshold, int _nOctaves=4,
-         int _nOctaveLayers=2, bool _extended=false, float _keypointsRatio=0.01f, bool _upright = false);
-
-    //! returns the descriptor size in float's (64 or 128)
-    int descriptorSize() const;
-    //! returns the default norm type
-    int defaultNorm() const;
-
-    //! upload host keypoints to device memory
-    void uploadKeypoints(const std::vector<KeyPoint>& keypoints, GpuMat& keypointsGPU);
-    //! download keypoints from device to host memory
-    void downloadKeypoints(const GpuMat& keypointsGPU, std::vector<KeyPoint>& keypoints);
-
-    //! download descriptors from device to host memory
-    void downloadDescriptors(const GpuMat& descriptorsGPU, std::vector<float>& descriptors);
-
-    //! finds the keypoints using fast hessian detector used in SURF
-    //! supports CV_8UC1 images
-    //! keypoints will have nFeature cols and 6 rows
-    //! keypoints.ptr<float>(X_ROW)[i] will contain x coordinate of i'th feature
-    //! keypoints.ptr<float>(Y_ROW)[i] will contain y coordinate of i'th feature
-    //! keypoints.ptr<float>(LAPLACIAN_ROW)[i] will contain laplacian sign of i'th feature
-    //! keypoints.ptr<float>(OCTAVE_ROW)[i] will contain octave of i'th feature
-    //! keypoints.ptr<float>(SIZE_ROW)[i] will contain size of i'th feature
-    //! keypoints.ptr<float>(ANGLE_ROW)[i] will contain orientation of i'th feature
-    //! keypoints.ptr<float>(HESSIAN_ROW)[i] will contain response of i'th feature
-    void operator()(const GpuMat& img, const GpuMat& mask, GpuMat& keypoints);
-    //! finds the keypoints and computes their descriptors.
-    //! Optionally it can compute descriptors for the user-provided keypoints and recompute keypoints direction
-    void operator()(const GpuMat& img, const GpuMat& mask, GpuMat& keypoints, GpuMat& descriptors,
-        bool useProvidedKeypoints = false);
-
-    void operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints);
-    void operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints, GpuMat& descriptors,
-        bool useProvidedKeypoints = false);
-
-    void operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints, std::vector<float>& descriptors,
-        bool useProvidedKeypoints = false);
-
-    void releaseMemory();
-
-    // SURF parameters
-    double hessianThreshold;
-    int nOctaves;
-    int nOctaveLayers;
-    bool extended;
-    bool upright;
-
-    //! max keypoints = min(keypointsRatio * img.size().area(), 65535)
-    float keypointsRatio;
-
-    GpuMat sum, mask1, maskSum, intBuffer;
-
-    GpuMat det, trace;
-
-    GpuMat maxPosBuffer;
-};
-
-}} // namespace cv { namespace cuda {
-
-#endif // __OPENCV_NONFREE_CUDA_HPP__
diff --git a/modules/nonfree/include/opencv2/nonfree/features2d.hpp b/modules/nonfree/include/opencv2/nonfree/features2d.hpp
deleted file mode 100644
index 6a75e99b20..0000000000
--- a/modules/nonfree/include/opencv2/nonfree/features2d.hpp
+++ /dev/null
@@ -1,154 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#ifndef __OPENCV_NONFREE_FEATURES_2D_HPP__
-#define __OPENCV_NONFREE_FEATURES_2D_HPP__
-
-#include "opencv2/features2d.hpp"
-
-namespace cv
-{
-
-/*!
- SIFT implementation.
-
- The class implements SIFT algorithm by D. Lowe.
-*/
-class CV_EXPORTS_W SIFT : public Feature2D
-{
-public:
-    CV_WRAP explicit SIFT( int nfeatures = 0, int nOctaveLayers = 3,
-          double contrastThreshold = 0.04, double edgeThreshold = 10,
-          double sigma = 1.6);
-
-    //! returns the descriptor size in floats (128)
-    CV_WRAP int descriptorSize() const;
-
-    //! returns the descriptor type
-    CV_WRAP int descriptorType() const;
-
-    //! returns the default norm type
-    CV_WRAP int defaultNorm() const;
-
-    //! finds the keypoints using SIFT algorithm
-    void operator()(InputArray img, InputArray mask,
-                    std::vector<KeyPoint>& keypoints) const;
-    //! finds the keypoints and computes descriptors for them using SIFT algorithm.
-    //! Optionally it can compute descriptors for the user-provided keypoints
-    void operator()(InputArray img, InputArray mask,
-                    std::vector<KeyPoint>& keypoints,
-                    OutputArray descriptors,
-                    bool useProvidedKeypoints = false) const;
-
-    AlgorithmInfo* info() const;
-
-    void buildGaussianPyramid( const Mat& base, std::vector<Mat>& pyr, int nOctaves ) const;
-    void buildDoGPyramid( const std::vector<Mat>& pyr, std::vector<Mat>& dogpyr ) const;
-    void findScaleSpaceExtrema( const std::vector<Mat>& gauss_pyr, const std::vector<Mat>& dog_pyr,
-                                std::vector<KeyPoint>& keypoints ) const;
-
-protected:
-    void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask = noArray() ) const;
-    void computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
-
-    CV_PROP_RW int nfeatures;
-    CV_PROP_RW int nOctaveLayers;
-    CV_PROP_RW double contrastThreshold;
-    CV_PROP_RW double edgeThreshold;
-    CV_PROP_RW double sigma;
-};
-
-typedef SIFT SiftFeatureDetector;
-typedef SIFT SiftDescriptorExtractor;
-
-/*!
- SURF implementation.
-
- The class implements SURF algorithm by H. Bay et al.
- */
-class CV_EXPORTS_W SURF : public Feature2D
-{
-public:
-    //! the default constructor
-    CV_WRAP SURF();
-    //! the full constructor taking all the necessary parameters
-    explicit CV_WRAP SURF(double hessianThreshold,
-                  int nOctaves = 4, int nOctaveLayers = 2,
-                  bool extended = true, bool upright = false);
-
-    //! returns the descriptor size in float's (64 or 128)
-    CV_WRAP int descriptorSize() const;
-
-    //! returns the descriptor type
-    CV_WRAP int descriptorType() const;
-
-    //! returns the descriptor type
-    CV_WRAP int defaultNorm() const;
-
-    //! finds the keypoints using fast hessian detector used in SURF
-    void operator()(InputArray img, InputArray mask,
-                    CV_OUT std::vector<KeyPoint>& keypoints) const;
-    //! finds the keypoints and computes their descriptors. Optionally it can compute descriptors for the user-provided keypoints
-    void operator()(InputArray img, InputArray mask,
-                    CV_OUT std::vector<KeyPoint>& keypoints,
-                    OutputArray descriptors,
-                    bool useProvidedKeypoints = false) const;
-
-    AlgorithmInfo* info() const;
-
-    CV_PROP_RW double hessianThreshold;
-    CV_PROP_RW int nOctaves;
-    CV_PROP_RW int nOctaveLayers;
-    CV_PROP_RW bool extended;
-    CV_PROP_RW bool upright;
-
-protected:
-    void detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask = noArray() ) const;
-    void computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors ) const;
-};
-
-typedef SURF SurfFeatureDetector;
-typedef SURF SurfDescriptorExtractor;
-
-} /* namespace cv */
-
-#endif
diff --git a/modules/nonfree/include/opencv2/nonfree/nonfree.hpp b/modules/nonfree/include/opencv2/nonfree/nonfree.hpp
deleted file mode 100644
index c1bb651f07..0000000000
--- a/modules/nonfree/include/opencv2/nonfree/nonfree.hpp
+++ /dev/null
@@ -1,48 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                          License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#ifdef __OPENCV_BUILD
-#error this is a compatibility header which should not be used inside the OpenCV library
-#endif
-
-#include "opencv2/nonfree.hpp"
diff --git a/modules/nonfree/perf/perf_main.cpp b/modules/nonfree/perf/perf_main.cpp
deleted file mode 100644
index a5a76af55b..0000000000
--- a/modules/nonfree/perf/perf_main.cpp
+++ /dev/null
@@ -1,11 +0,0 @@
-#include "perf_precomp.hpp"
-#include "opencv2/ts/cuda_perf.hpp"
-
-static const char * impls[] = {
-#ifdef HAVE_CUDA
-    "cuda",
-#endif
-    "plain"
-};
-
-CV_PERF_TEST_MAIN_WITH_IMPLS(nonfree, impls, perf::printCudaInfo())
diff --git a/modules/nonfree/perf/perf_precomp.hpp b/modules/nonfree/perf/perf_precomp.hpp
deleted file mode 100644
index ed84be8e37..0000000000
--- a/modules/nonfree/perf/perf_precomp.hpp
+++ /dev/null
@@ -1,32 +0,0 @@
-#ifdef __GNUC__
-#  pragma GCC diagnostic ignored "-Wmissing-declarations"
-#  if defined __clang__ || defined __APPLE__
-#    pragma GCC diagnostic ignored "-Wmissing-prototypes"
-#    pragma GCC diagnostic ignored "-Wextra"
-#  endif
-#endif
-
-#ifndef __OPENCV_PERF_PRECOMP_HPP__
-#define __OPENCV_PERF_PRECOMP_HPP__
-
-#include "cvconfig.h"
-
-#include "opencv2/ts.hpp"
-#include "opencv2/nonfree.hpp"
-#include "opencv2/imgcodecs.hpp"
-
-#include "opencv2/opencv_modules.hpp"
-
-#ifdef HAVE_OPENCV_OCL
-#  include "opencv2/nonfree/ocl.hpp"
-#endif
-
-#ifdef HAVE_CUDA
-#  include "opencv2/nonfree/cuda.hpp"
-#endif
-
-#ifdef GTEST_CREATE_SHARED_LIBRARY
-#error no modules except ts should have GTEST_CREATE_SHARED_LIBRARY defined
-#endif
-
-#endif
diff --git a/modules/nonfree/perf/perf_surf.cpp b/modules/nonfree/perf/perf_surf.cpp
deleted file mode 100644
index 09de5232ec..0000000000
--- a/modules/nonfree/perf/perf_surf.cpp
+++ /dev/null
@@ -1,66 +0,0 @@
-#include "perf_precomp.hpp"
-
-using namespace std;
-using namespace cv;
-using namespace perf;
-using std::tr1::make_tuple;
-using std::tr1::get;
-
-typedef perf::TestBaseWithParam<std::string> surf;
-
-#define SURF_IMAGES \
-    "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
-    "stitching/a3.png"
-
-PERF_TEST_P(surf, detect, testing::Values(SURF_IMAGES))
-{
-    string filename = getDataPath(GetParam());
-    Mat frame = imread(filename, IMREAD_GRAYSCALE);
-    ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename;
-
-    Mat mask;
-    declare.in(frame).time(90);
-    SURF detector;
-    vector<KeyPoint> points;
-
-    TEST_CYCLE() detector(frame, mask, points);
-
-    SANITY_CHECK_KEYPOINTS(points, 1e-3);
-}
-
-PERF_TEST_P(surf, extract, testing::Values(SURF_IMAGES))
-{
-    string filename = getDataPath(GetParam());
-    Mat frame = imread(filename, IMREAD_GRAYSCALE);
-    ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename;
-
-    Mat mask;
-    declare.in(frame).time(90);
-
-    SURF detector;
-    vector<KeyPoint> points;
-    vector<float> descriptors;
-    detector(frame, mask, points);
-
-    TEST_CYCLE() detector(frame, mask, points, descriptors, true);
-
-    SANITY_CHECK(descriptors, 1e-4);
-}
-
-PERF_TEST_P(surf, full, testing::Values(SURF_IMAGES))
-{
-    string filename = getDataPath(GetParam());
-    Mat frame = imread(filename, IMREAD_GRAYSCALE);
-    ASSERT_FALSE(frame.empty()) << "Unable to load source image " << filename;
-
-    Mat mask;
-    declare.in(frame).time(90);
-    SURF detector;
-    vector<KeyPoint> points;
-    vector<float> descriptors;
-
-    TEST_CYCLE() detector(frame, mask, points, descriptors, false);
-
-    SANITY_CHECK_KEYPOINTS(points, 1e-3);
-    SANITY_CHECK(descriptors, 1e-4);
-}
diff --git a/modules/nonfree/perf/perf_surf.cuda.cpp b/modules/nonfree/perf/perf_surf.cuda.cpp
deleted file mode 100644
index 4cdbea9781..0000000000
--- a/modules/nonfree/perf/perf_surf.cuda.cpp
+++ /dev/null
@@ -1,103 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "perf_precomp.hpp"
-
-#ifdef HAVE_CUDA
-
-#include "opencv2/ts/cuda_perf.hpp"
-
-using namespace std;
-using namespace testing;
-using namespace perf;
-
-//////////////////////////////////////////////////////////////////////
-// SURF
-
-#ifdef HAVE_OPENCV_CUDAARITHM
-
-DEF_PARAM_TEST_1(Image, string);
-
-PERF_TEST_P(Image, CUDA_SURF,
-            Values<std::string>("gpu/perf/aloe.png"))
-{
-    declare.time(50.0);
-
-    const cv::Mat img = readImage(GetParam(), cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(img.empty());
-
-    if (PERF_RUN_CUDA())
-    {
-        cv::cuda::SURF_CUDA d_surf;
-
-        const cv::cuda::GpuMat d_img(img);
-        cv::cuda::GpuMat d_keypoints, d_descriptors;
-
-        TEST_CYCLE() d_surf(d_img, cv::cuda::GpuMat(), d_keypoints, d_descriptors);
-
-        std::vector<cv::KeyPoint> gpu_keypoints;
-        d_surf.downloadKeypoints(d_keypoints, gpu_keypoints);
-
-        cv::Mat gpu_descriptors(d_descriptors);
-
-        sortKeyPoints(gpu_keypoints, gpu_descriptors);
-
-        SANITY_CHECK_KEYPOINTS(gpu_keypoints);
-        SANITY_CHECK(gpu_descriptors, 1e-3);
-    }
-    else
-    {
-        cv::SURF surf;
-
-        std::vector<cv::KeyPoint> cpu_keypoints;
-        cv::Mat cpu_descriptors;
-
-        TEST_CYCLE() surf(img, cv::noArray(), cpu_keypoints, cpu_descriptors);
-
-        SANITY_CHECK_KEYPOINTS(cpu_keypoints);
-        SANITY_CHECK(cpu_descriptors);
-    }
-}
-
-#endif // HAVE_OPENCV_CUDAARITHM
-
-#endif // HAVE_CUDA
diff --git a/modules/nonfree/perf/perf_surf.ocl.cpp b/modules/nonfree/perf/perf_surf.ocl.cpp
deleted file mode 100644
index cc48aa28c5..0000000000
--- a/modules/nonfree/perf/perf_surf.ocl.cpp
+++ /dev/null
@@ -1,111 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
-// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// @Authors
-//    Peng Xiao, pengxiao@multicorewareinc.com
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors as is and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "perf_precomp.hpp"
-
-#ifdef HAVE_OPENCV_OCL
-
-using namespace cv;
-using namespace cv::ocl;
-using namespace std;
-
-typedef perf::TestBaseWithParam<std::string> OCL_SURF;
-
-#define SURF_IMAGES \
-    "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png",\
-    "stitching/a3.png"
-
-PERF_TEST_P(OCL_SURF, DISABLED_with_data_transfer, testing::Values(SURF_IMAGES))
-{
-    string filename = getDataPath(GetParam());
-    Mat img = imread(filename, IMREAD_GRAYSCALE);
-    ASSERT_FALSE(img.empty());
-
-    SURF_OCL d_surf;
-    oclMat d_keypoints;
-    oclMat d_descriptors;
-    Mat cpu_kp;
-    Mat cpu_dp;
-
-    declare.time(60);
-
-    TEST_CYCLE()
-    {
-        oclMat d_src(img);
-
-        d_surf(d_src, oclMat(), d_keypoints, d_descriptors);
-
-        d_keypoints.download(cpu_kp);
-        d_descriptors.download(cpu_dp);
-    }
-
-    SANITY_CHECK(cpu_kp, 1);
-    SANITY_CHECK(cpu_dp, 1);
-}
-
-PERF_TEST_P(OCL_SURF, DISABLED_without_data_transfer, testing::Values(SURF_IMAGES))
-{
-    string filename = getDataPath(GetParam());
-    Mat img = imread(filename, IMREAD_GRAYSCALE);
-    ASSERT_FALSE(img.empty());
-
-    SURF_OCL d_surf;
-    oclMat d_keypoints;
-    oclMat d_descriptors;
-    oclMat d_src(img);
-
-    declare.time(60);
-
-    TEST_CYCLE() d_surf(d_src, oclMat(), d_keypoints, d_descriptors);
-
-    Mat cpu_kp;
-    Mat cpu_dp;
-    d_keypoints.download(cpu_kp);
-    d_descriptors.download(cpu_dp);
-    SANITY_CHECK(cpu_kp, 1);
-    SANITY_CHECK(cpu_dp, 1);
-}
-
-#endif // HAVE_OPENCV_OCL
diff --git a/modules/nonfree/src/cuda/surf.cu b/modules/nonfree/src/cuda/surf.cu
deleted file mode 100644
index 9a141ab7c9..0000000000
--- a/modules/nonfree/src/cuda/surf.cu
+++ /dev/null
@@ -1,960 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "opencv2/opencv_modules.hpp"
-
-#ifdef HAVE_OPENCV_CUDAARITHM
-
-#include "opencv2/core/cuda/common.hpp"
-#include "opencv2/core/cuda/limits.hpp"
-#include "opencv2/core/cuda/saturate_cast.hpp"
-#include "opencv2/core/cuda/reduce.hpp"
-#include "opencv2/core/cuda/utility.hpp"
-#include "opencv2/core/cuda/functional.hpp"
-#include "opencv2/core/cuda/filters.hpp"
-
-namespace cv { namespace cuda { namespace device
-{
-    namespace surf
-    {
-        void loadGlobalConstants(int maxCandidates, int maxFeatures, int img_rows, int img_cols, int nOctaveLayers, float hessianThreshold);
-        void loadOctaveConstants(int octave, int layer_rows, int layer_cols);
-
-        void bindImgTex(PtrStepSzb img);
-        size_t bindSumTex(PtrStepSz<unsigned int> sum);
-        size_t bindMaskSumTex(PtrStepSz<unsigned int> maskSum);
-
-        void icvCalcLayerDetAndTrace_gpu(const PtrStepf& det, const PtrStepf& trace, int img_rows, int img_cols,
-            int octave, int nOctaveLayer);
-
-        void icvFindMaximaInLayer_gpu(const PtrStepf& det, const PtrStepf& trace, int4* maxPosBuffer, unsigned int* maxCounter,
-            int img_rows, int img_cols, int octave, bool use_mask, int nLayers);
-
-        void icvInterpolateKeypoint_gpu(const PtrStepf& det, const int4* maxPosBuffer, unsigned int maxCounter,
-            float* featureX, float* featureY, int* featureLaplacian, int* featureOctave, float* featureSize, float* featureHessian,
-            unsigned int* featureCounter);
-
-        void icvCalcOrientation_gpu(const float* featureX, const float* featureY, const float* featureSize, float* featureDir, int nFeatures);
-
-        void compute_descriptors_gpu(PtrStepSz<float4> descriptors, const float* featureX, const float* featureY, const float* featureSize, const float* featureDir, int nFeatures);
-    }
-}}}
-
-namespace cv { namespace cuda { namespace device
-{
-    namespace surf
-    {
-        ////////////////////////////////////////////////////////////////////////
-        // Global parameters
-
-        // The maximum number of features (before subpixel interpolation) that memory is reserved for.
-        __constant__ int c_max_candidates;
-        // The maximum number of features that memory is reserved for.
-        __constant__ int c_max_features;
-        // The image size.
-        __constant__ int c_img_rows;
-        __constant__ int c_img_cols;
-        // The number of layers.
-        __constant__ int c_nOctaveLayers;
-        // The hessian threshold.
-        __constant__ float c_hessianThreshold;
-
-        // The current octave.
-        __constant__ int c_octave;
-        // The current layer size.
-        __constant__ int c_layer_rows;
-        __constant__ int c_layer_cols;
-
-        void loadGlobalConstants(int maxCandidates, int maxFeatures, int img_rows, int img_cols, int nOctaveLayers, float hessianThreshold)
-        {
-            cudaSafeCall( cudaMemcpyToSymbol(c_max_candidates, &maxCandidates, sizeof(maxCandidates)) );
-            cudaSafeCall( cudaMemcpyToSymbol(c_max_features, &maxFeatures, sizeof(maxFeatures)) );
-            cudaSafeCall( cudaMemcpyToSymbol(c_img_rows, &img_rows, sizeof(img_rows)) );
-            cudaSafeCall( cudaMemcpyToSymbol(c_img_cols, &img_cols, sizeof(img_cols)) );
-            cudaSafeCall( cudaMemcpyToSymbol(c_nOctaveLayers, &nOctaveLayers, sizeof(nOctaveLayers)) );
-            cudaSafeCall( cudaMemcpyToSymbol(c_hessianThreshold, &hessianThreshold, sizeof(hessianThreshold)) );
-        }
-
-        void loadOctaveConstants(int octave, int layer_rows, int layer_cols)
-        {
-            cudaSafeCall( cudaMemcpyToSymbol(c_octave, &octave, sizeof(octave)) );
-            cudaSafeCall( cudaMemcpyToSymbol(c_layer_rows, &layer_rows, sizeof(layer_rows)) );
-            cudaSafeCall( cudaMemcpyToSymbol(c_layer_cols, &layer_cols, sizeof(layer_cols)) );
-        }
-
-        ////////////////////////////////////////////////////////////////////////
-        // Integral image texture
-
-        texture<unsigned char, 2, cudaReadModeElementType> imgTex(0, cudaFilterModePoint, cudaAddressModeClamp);
-        texture<unsigned int, 2, cudaReadModeElementType> sumTex(0, cudaFilterModePoint, cudaAddressModeClamp);
-        texture<unsigned int, 2, cudaReadModeElementType> maskSumTex(0, cudaFilterModePoint, cudaAddressModeClamp);
-
-        void bindImgTex(PtrStepSzb img)
-        {
-            bindTexture(&imgTex, img);
-        }
-
-        size_t bindSumTex(PtrStepSz<uint> sum)
-        {
-            size_t offset;
-            cudaChannelFormatDesc desc_sum = cudaCreateChannelDesc<uint>();
-            cudaSafeCall( cudaBindTexture2D(&offset, sumTex, sum.data, desc_sum, sum.cols, sum.rows, sum.step));
-            return offset / sizeof(uint);
-        }
-        size_t bindMaskSumTex(PtrStepSz<uint> maskSum)
-        {
-            size_t offset;
-            cudaChannelFormatDesc desc_sum = cudaCreateChannelDesc<uint>();
-            cudaSafeCall( cudaBindTexture2D(&offset, maskSumTex, maskSum.data, desc_sum, maskSum.cols, maskSum.rows, maskSum.step));
-            return offset / sizeof(uint);
-        }
-
-        template <int N> __device__ float icvCalcHaarPatternSum(const float src[][5], int oldSize, int newSize, int y, int x)
-        {
-        #if __CUDA_ARCH__ && __CUDA_ARCH__ >= 200
-            typedef double real_t;
-        #else
-            typedef float  real_t;
-        #endif
-
-            float ratio = (float)newSize / oldSize;
-
-            real_t d = 0;
-
-            #pragma unroll
-            for (int k = 0; k < N; ++k)
-            {
-                int dx1 = __float2int_rn(ratio * src[k][0]);
-                int dy1 = __float2int_rn(ratio * src[k][1]);
-                int dx2 = __float2int_rn(ratio * src[k][2]);
-                int dy2 = __float2int_rn(ratio * src[k][3]);
-
-                real_t t = 0;
-                t += tex2D(sumTex, x + dx1, y + dy1);
-                t -= tex2D(sumTex, x + dx1, y + dy2);
-                t -= tex2D(sumTex, x + dx2, y + dy1);
-                t += tex2D(sumTex, x + dx2, y + dy2);
-
-                d += t * src[k][4] / ((dx2 - dx1) * (dy2 - dy1));
-            }
-
-            return (float)d;
-        }
-
-        ////////////////////////////////////////////////////////////////////////
-        // Hessian
-
-        __constant__ float c_DX [3][5] = { {0, 2, 3, 7, 1}, {3, 2, 6, 7, -2}, {6, 2, 9, 7, 1} };
-        __constant__ float c_DY [3][5] = { {2, 0, 7, 3, 1}, {2, 3, 7, 6, -2}, {2, 6, 7, 9, 1} };
-        __constant__ float c_DXY[4][5] = { {1, 1, 4, 4, 1}, {5, 1, 8, 4, -1}, {1, 5, 4, 8, -1}, {5, 5, 8, 8, 1} };
-
-        __host__ __device__ __forceinline__ int calcSize(int octave, int layer)
-        {
-            /* Wavelet size at first layer of first octave. */
-            const int HAAR_SIZE0 = 9;
-
-            /* Wavelet size increment between layers. This should be an even number,
-             such that the wavelet sizes in an octave are either all even or all odd.
-             This ensures that when looking for the neighbours of a sample, the layers
-             above and below are aligned correctly. */
-            const int HAAR_SIZE_INC = 6;
-
-            return (HAAR_SIZE0 + HAAR_SIZE_INC * layer) << octave;
-        }
-
-        __global__ void icvCalcLayerDetAndTrace(PtrStepf det, PtrStepf trace)
-        {
-            // Determine the indices
-            const int gridDim_y = gridDim.y / (c_nOctaveLayers + 2);
-            const int blockIdx_y = blockIdx.y % gridDim_y;
-            const int blockIdx_z = blockIdx.y / gridDim_y;
-
-            const int j = threadIdx.x + blockIdx.x * blockDim.x;
-            const int i = threadIdx.y + blockIdx_y * blockDim.y;
-            const int layer = blockIdx_z;
-
-            const int size = calcSize(c_octave, layer);
-
-            const int samples_i = 1 + ((c_img_rows - size) >> c_octave);
-            const int samples_j = 1 + ((c_img_cols - size) >> c_octave);
-
-            // Ignore pixels where some of the kernel is outside the image
-            const int margin = (size >> 1) >> c_octave;
-
-            if (size <= c_img_rows && size <= c_img_cols && i < samples_i && j < samples_j)
-            {
-                const float dx  = icvCalcHaarPatternSum<3>(c_DX , 9, size, (i << c_octave), (j << c_octave));
-                const float dy  = icvCalcHaarPatternSum<3>(c_DY , 9, size, (i << c_octave), (j << c_octave));
-                const float dxy = icvCalcHaarPatternSum<4>(c_DXY, 9, size, (i << c_octave), (j << c_octave));
-
-                det.ptr(layer * c_layer_rows + i + margin)[j + margin] = dx * dy - 0.81f * dxy * dxy;
-                trace.ptr(layer * c_layer_rows + i + margin)[j + margin] = dx + dy;
-            }
-        }
-
-        void icvCalcLayerDetAndTrace_gpu(const PtrStepf& det, const PtrStepf& trace, int img_rows, int img_cols,
-            int octave, int nOctaveLayers)
-        {
-            const int min_size = calcSize(octave, 0);
-            const int max_samples_i = 1 + ((img_rows - min_size) >> octave);
-            const int max_samples_j = 1 + ((img_cols - min_size) >> octave);
-
-            dim3 threads(16, 16);
-
-            dim3 grid;
-            grid.x = divUp(max_samples_j, threads.x);
-            grid.y = divUp(max_samples_i, threads.y) * (nOctaveLayers + 2);
-
-            icvCalcLayerDetAndTrace<<<grid, threads>>>(det, trace);
-            cudaSafeCall( cudaGetLastError() );
-
-            cudaSafeCall( cudaDeviceSynchronize() );
-        }
-
-        ////////////////////////////////////////////////////////////////////////
-        // NONMAX
-
-        __constant__ float c_DM[5] = {0, 0, 9, 9, 1};
-
-        struct WithMask
-        {
-            static __device__ bool check(int sum_i, int sum_j, int size)
-            {
-                float ratio = (float)size / 9.0f;
-
-                float d = 0;
-
-                int dx1 = __float2int_rn(ratio * c_DM[0]);
-                int dy1 = __float2int_rn(ratio * c_DM[1]);
-                int dx2 = __float2int_rn(ratio * c_DM[2]);
-                int dy2 = __float2int_rn(ratio * c_DM[3]);
-
-                float t = 0;
-                t += tex2D(maskSumTex, sum_j + dx1, sum_i + dy1);
-                t -= tex2D(maskSumTex, sum_j + dx1, sum_i + dy2);
-                t -= tex2D(maskSumTex, sum_j + dx2, sum_i + dy1);
-                t += tex2D(maskSumTex, sum_j + dx2, sum_i + dy2);
-
-                d += t * c_DM[4] / ((dx2 - dx1) * (dy2 - dy1));
-
-                return (d >= 0.5f);
-            }
-        };
-
-        template <typename Mask>
-        __global__ void icvFindMaximaInLayer(const PtrStepf det, const PtrStepf trace, int4* maxPosBuffer,
-            unsigned int* maxCounter)
-        {
-            #if __CUDA_ARCH__ && __CUDA_ARCH__ >= 110
-
-            extern __shared__ float N9[];
-
-            // The hidx variables are the indices to the hessian buffer.
-            const int gridDim_y = gridDim.y / c_nOctaveLayers;
-            const int blockIdx_y = blockIdx.y % gridDim_y;
-            const int blockIdx_z = blockIdx.y / gridDim_y;
-
-            const int layer = blockIdx_z + 1;
-
-            const int size = calcSize(c_octave, layer);
-
-            // Ignore pixels without a 3x3x3 neighbourhood in the layer above
-            const int margin = ((calcSize(c_octave, layer + 1) >> 1) >> c_octave) + 1;
-
-            const int j = threadIdx.x + blockIdx.x * (blockDim.x - 2) + margin - 1;
-            const int i = threadIdx.y + blockIdx_y * (blockDim.y - 2) + margin - 1;
-
-            // Is this thread within the hessian buffer?
-            const int zoff = blockDim.x * blockDim.y;
-            const int localLin = threadIdx.x + threadIdx.y * blockDim.x + zoff;
-            N9[localLin - zoff] = det.ptr(c_layer_rows * (layer - 1) + ::min(::max(i, 0), c_img_rows - 1))[::min(::max(j, 0), c_img_cols - 1)];
-            N9[localLin       ] = det.ptr(c_layer_rows * (layer    ) + ::min(::max(i, 0), c_img_rows - 1))[::min(::max(j, 0), c_img_cols - 1)];
-            N9[localLin + zoff] = det.ptr(c_layer_rows * (layer + 1) + ::min(::max(i, 0), c_img_rows - 1))[::min(::max(j, 0), c_img_cols - 1)];
-            __syncthreads();
-
-            if (i < c_layer_rows - margin && j < c_layer_cols - margin && threadIdx.x > 0 && threadIdx.x < blockDim.x - 1 && threadIdx.y > 0 && threadIdx.y < blockDim.y - 1)
-            {
-                float val0 = N9[localLin];
-
-                if (val0 > c_hessianThreshold)
-                {
-                    // Coordinates for the start of the wavelet in the sum image. There
-                    // is some integer division involved, so don't try to simplify this
-                    // (cancel out sampleStep) without checking the result is the same
-                    const int sum_i = (i - ((size >> 1) >> c_octave)) << c_octave;
-                    const int sum_j = (j - ((size >> 1) >> c_octave)) << c_octave;
-
-                    if (Mask::check(sum_i, sum_j, size))
-                    {
-                        // Check to see if we have a max (in its 26 neighbours)
-                        const bool condmax = val0 > N9[localLin - 1 - blockDim.x - zoff]
-                        &&                   val0 > N9[localLin     - blockDim.x - zoff]
-                        &&                   val0 > N9[localLin + 1 - blockDim.x - zoff]
-                        &&                   val0 > N9[localLin - 1              - zoff]
-                        &&                   val0 > N9[localLin                  - zoff]
-                        &&                   val0 > N9[localLin + 1              - zoff]
-                        &&                   val0 > N9[localLin - 1 + blockDim.x - zoff]
-                        &&                   val0 > N9[localLin     + blockDim.x - zoff]
-                        &&                   val0 > N9[localLin + 1 + blockDim.x - zoff]
-
-                        &&                   val0 > N9[localLin - 1 - blockDim.x]
-                        &&                   val0 > N9[localLin     - blockDim.x]
-                        &&                   val0 > N9[localLin + 1 - blockDim.x]
-                        &&                   val0 > N9[localLin - 1             ]
-                        &&                   val0 > N9[localLin + 1             ]
-                        &&                   val0 > N9[localLin - 1 + blockDim.x]
-                        &&                   val0 > N9[localLin     + blockDim.x]
-                        &&                   val0 > N9[localLin + 1 + blockDim.x]
-
-                        &&                   val0 > N9[localLin - 1 - blockDim.x + zoff]
-                        &&                   val0 > N9[localLin     - blockDim.x + zoff]
-                        &&                   val0 > N9[localLin + 1 - blockDim.x + zoff]
-                        &&                   val0 > N9[localLin - 1              + zoff]
-                        &&                   val0 > N9[localLin                  + zoff]
-                        &&                   val0 > N9[localLin + 1              + zoff]
-                        &&                   val0 > N9[localLin - 1 + blockDim.x + zoff]
-                        &&                   val0 > N9[localLin     + blockDim.x + zoff]
-                        &&                   val0 > N9[localLin + 1 + blockDim.x + zoff]
-                        ;
-
-                        if(condmax)
-                        {
-                            unsigned int ind = atomicInc(maxCounter,(unsigned int) -1);
-
-                            if (ind < c_max_candidates)
-                            {
-                                const int laplacian = (int) copysignf(1.0f, trace.ptr(layer * c_layer_rows + i)[j]);
-
-                                maxPosBuffer[ind] = make_int4(j, i, layer, laplacian);
-                            }
-                        }
-                    }
-                }
-            }
-
-            #endif
-        }
-
-        void icvFindMaximaInLayer_gpu(const PtrStepf& det, const PtrStepf& trace, int4* maxPosBuffer, unsigned int* maxCounter,
-            int img_rows, int img_cols, int octave, bool use_mask, int nOctaveLayers)
-        {
-            const int layer_rows = img_rows >> octave;
-            const int layer_cols = img_cols >> octave;
-
-            const int min_margin = ((calcSize(octave, 2) >> 1) >> octave) + 1;
-
-            dim3 threads(16, 16);
-
-            dim3 grid;
-            grid.x = divUp(layer_cols - 2 * min_margin, threads.x - 2);
-            grid.y = divUp(layer_rows - 2 * min_margin, threads.y - 2) * nOctaveLayers;
-
-            const size_t smem_size = threads.x * threads.y * 3 * sizeof(float);
-
-            if (use_mask)
-                icvFindMaximaInLayer<WithMask><<<grid, threads, smem_size>>>(det, trace, maxPosBuffer, maxCounter);
-            else
-                icvFindMaximaInLayer<WithOutMask><<<grid, threads, smem_size>>>(det, trace, maxPosBuffer, maxCounter);
-
-            cudaSafeCall( cudaGetLastError() );
-
-            cudaSafeCall( cudaDeviceSynchronize() );
-        }
-
-        ////////////////////////////////////////////////////////////////////////
-        // INTERPOLATION
-
-        __global__ void icvInterpolateKeypoint(const PtrStepf det, const int4* maxPosBuffer,
-            float* featureX, float* featureY, int* featureLaplacian, int* featureOctave, float* featureSize, float* featureHessian,
-            unsigned int* featureCounter)
-        {
-            #if __CUDA_ARCH__ && __CUDA_ARCH__ >= 110
-
-            const int4 maxPos = maxPosBuffer[blockIdx.x];
-
-            const int j = maxPos.x - 1 + threadIdx.x;
-            const int i = maxPos.y - 1 + threadIdx.y;
-            const int layer = maxPos.z - 1 + threadIdx.z;
-
-            __shared__ float N9[3][3][3];
-
-            N9[threadIdx.z][threadIdx.y][threadIdx.x] = det.ptr(c_layer_rows * layer + i)[j];
-            __syncthreads();
-
-            if (threadIdx.x == 0 && threadIdx.y == 0 && threadIdx.z == 0)
-            {
-                __shared__ float dD[3];
-
-                //dx
-                dD[0] = -0.5f * (N9[1][1][2] - N9[1][1][0]);
-                //dy
-                dD[1] = -0.5f * (N9[1][2][1] - N9[1][0][1]);
-                //ds
-                dD[2] = -0.5f * (N9[2][1][1] - N9[0][1][1]);
-
-                __shared__ float H[3][3];
-
-                //dxx
-                H[0][0] = N9[1][1][0] - 2.0f * N9[1][1][1] + N9[1][1][2];
-                //dxy
-                H[0][1]= 0.25f * (N9[1][2][2] - N9[1][2][0] - N9[1][0][2] + N9[1][0][0]);
-                //dxs
-                H[0][2]= 0.25f * (N9[2][1][2] - N9[2][1][0] - N9[0][1][2] + N9[0][1][0]);
-                //dyx = dxy
-                H[1][0] = H[0][1];
-                //dyy
-                H[1][1] = N9[1][0][1] - 2.0f * N9[1][1][1] + N9[1][2][1];
-                //dys
-                H[1][2]= 0.25f * (N9[2][2][1] - N9[2][0][1] - N9[0][2][1] + N9[0][0][1]);
-                //dsx = dxs
-                H[2][0] = H[0][2];
-                //dsy = dys
-                H[2][1] = H[1][2];
-                //dss
-                H[2][2] = N9[0][1][1] - 2.0f * N9[1][1][1] + N9[2][1][1];
-
-                __shared__ float x[3];
-
-                if (solve3x3(H, dD, x))
-                {
-                    if (::fabs(x[0]) <= 1.f && ::fabs(x[1]) <= 1.f && ::fabs(x[2]) <= 1.f)
-                    {
-                        // if the step is within the interpolation region, perform it
-
-                        const int size = calcSize(c_octave, maxPos.z);
-
-                        const int sum_i = (maxPos.y - ((size >> 1) >> c_octave)) << c_octave;
-                        const int sum_j = (maxPos.x - ((size >> 1) >> c_octave)) << c_octave;
-
-                        const float center_i = sum_i + (float)(size - 1) / 2;
-                        const float center_j = sum_j + (float)(size - 1) / 2;
-
-                        const float px = center_j + x[0] * (1 << c_octave);
-                        const float py = center_i + x[1] * (1 << c_octave);
-
-                        const int ds = size - calcSize(c_octave, maxPos.z - 1);
-                        const float psize = roundf(size + x[2] * ds);
-
-                        /* The sampling intervals and wavelet sized for selecting an orientation
-                         and building the keypoint descriptor are defined relative to 's' */
-                        const float s = psize * 1.2f / 9.0f;
-
-                        /* To find the dominant orientation, the gradients in x and y are
-                         sampled in a circle of radius 6s using wavelets of size 4s.
-                         We ensure the gradient wavelet size is even to ensure the
-                         wavelet pattern is balanced and symmetric around its center */
-                        const int grad_wav_size = 2 * __float2int_rn(2.0f * s);
-
-                        // check when grad_wav_size is too big
-                        if ((c_img_rows + 1) >= grad_wav_size && (c_img_cols + 1) >= grad_wav_size)
-                        {
-                            // Get a new feature index.
-                            unsigned int ind = atomicInc(featureCounter, (unsigned int)-1);
-
-                            if (ind < c_max_features)
-                            {
-                                featureX[ind] = px;
-                                featureY[ind] = py;
-                                featureLaplacian[ind] = maxPos.w;
-                                featureOctave[ind] = c_octave;
-                                featureSize[ind] = psize;
-                                featureHessian[ind] = N9[1][1][1];
-                            }
-                        } // grad_wav_size check
-                    } // If the subpixel interpolation worked
-                }
-            } // If this is thread 0.
-
-            #endif
-        }
-
-        void icvInterpolateKeypoint_gpu(const PtrStepf& det, const int4* maxPosBuffer, unsigned int maxCounter,
-            float* featureX, float* featureY, int* featureLaplacian, int* featureOctave, float* featureSize, float* featureHessian,
-            unsigned int* featureCounter)
-        {
-            dim3 threads;
-            threads.x = 3;
-            threads.y = 3;
-            threads.z = 3;
-
-            dim3 grid;
-            grid.x = maxCounter;
-
-            icvInterpolateKeypoint<<<grid, threads>>>(det, maxPosBuffer, featureX, featureY, featureLaplacian, featureOctave, featureSize, featureHessian, featureCounter);
-            cudaSafeCall( cudaGetLastError() );
-
-            cudaSafeCall( cudaDeviceSynchronize() );
-        }
-
-        ////////////////////////////////////////////////////////////////////////
-        // Orientation
-
-        #define ORI_SEARCH_INC 5
-        #define ORI_WIN        60
-        #define ORI_SAMPLES    113
-
-        __constant__ float c_aptX[ORI_SAMPLES] = {-6, -5, -5, -5, -5, -5, -5, -5, -4, -4, -4, -4, -4, -4, -4, -4, -4, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 6};
-        __constant__ float c_aptY[ORI_SAMPLES] = {0, -3, -2, -1, 0, 1, 2, 3, -4, -3, -2, -1, 0, 1, 2, 3, 4, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -4, -3, -2, -1, 0, 1, 2, 3, 4, -3, -2, -1, 0, 1, 2, 3, 0};
-        __constant__ float c_aptW[ORI_SAMPLES] = {0.001455130288377404f, 0.001707611023448408f, 0.002547456417232752f, 0.003238451667129993f, 0.0035081731621176f, 0.003238451667129993f, 0.002547456417232752f, 0.001707611023448408f, 0.002003900473937392f, 0.0035081731621176f, 0.005233579315245152f, 0.00665318313986063f, 0.00720730796456337f, 0.00665318313986063f, 0.005233579315245152f, 0.0035081731621176f, 0.002003900473937392f, 0.001707611023448408f, 0.0035081731621176f, 0.006141661666333675f, 0.009162282571196556f, 0.01164754293859005f, 0.01261763460934162f, 0.01164754293859005f, 0.009162282571196556f, 0.006141661666333675f, 0.0035081731621176f, 0.001707611023448408f, 0.002547456417232752f, 0.005233579315245152f, 0.009162282571196556f, 0.01366852037608624f, 0.01737609319388866f, 0.0188232995569706f, 0.01737609319388866f, 0.01366852037608624f, 0.009162282571196556f, 0.005233579315245152f, 0.002547456417232752f, 0.003238451667129993f, 0.00665318313986063f, 0.01164754293859005f, 0.01737609319388866f, 0.02208934165537357f, 0.02392910048365593f, 0.02208934165537357f, 0.01737609319388866f, 0.01164754293859005f, 0.00665318313986063f, 0.003238451667129993f, 0.001455130288377404f, 0.0035081731621176f, 0.00720730796456337f, 0.01261763460934162f, 0.0188232995569706f, 0.02392910048365593f, 0.02592208795249462f, 0.02392910048365593f, 0.0188232995569706f, 0.01261763460934162f, 0.00720730796456337f, 0.0035081731621176f, 0.001455130288377404f, 0.003238451667129993f, 0.00665318313986063f, 0.01164754293859005f, 0.01737609319388866f, 0.02208934165537357f, 0.02392910048365593f, 0.02208934165537357f, 0.01737609319388866f, 0.01164754293859005f, 0.00665318313986063f, 0.003238451667129993f, 0.002547456417232752f, 0.005233579315245152f, 0.009162282571196556f, 0.01366852037608624f, 0.01737609319388866f, 0.0188232995569706f, 0.01737609319388866f, 0.01366852037608624f, 0.009162282571196556f, 0.005233579315245152f, 0.002547456417232752f, 0.001707611023448408f, 0.0035081731621176f, 0.006141661666333675f, 0.009162282571196556f, 0.01164754293859005f, 0.01261763460934162f, 0.01164754293859005f, 0.009162282571196556f, 0.006141661666333675f, 0.0035081731621176f, 0.001707611023448408f, 0.002003900473937392f, 0.0035081731621176f, 0.005233579315245152f, 0.00665318313986063f, 0.00720730796456337f, 0.00665318313986063f, 0.005233579315245152f, 0.0035081731621176f, 0.002003900473937392f, 0.001707611023448408f, 0.002547456417232752f, 0.003238451667129993f, 0.0035081731621176f, 0.003238451667129993f, 0.002547456417232752f, 0.001707611023448408f, 0.001455130288377404f};
-
-        __constant__ float c_NX[2][5] = {{0, 0, 2, 4, -1}, {2, 0, 4, 4, 1}};
-        __constant__ float c_NY[2][5] = {{0, 0, 4, 2, 1}, {0, 2, 4, 4, -1}};
-
-        __global__ void icvCalcOrientation(const float* featureX, const float* featureY, const float* featureSize, float* featureDir)
-        {
-            __shared__ float s_X[128];
-            __shared__ float s_Y[128];
-            __shared__ float s_angle[128];
-
-            __shared__ float s_sumx[32 * 4];
-            __shared__ float s_sumy[32 * 4];
-
-            /* The sampling intervals and wavelet sized for selecting an orientation
-             and building the keypoint descriptor are defined relative to 's' */
-            const float s = featureSize[blockIdx.x] * 1.2f / 9.0f;
-
-            /* To find the dominant orientation, the gradients in x and y are
-             sampled in a circle of radius 6s using wavelets of size 4s.
-             We ensure the gradient wavelet size is even to ensure the
-             wavelet pattern is balanced and symmetric around its center */
-            const int grad_wav_size = 2 * __float2int_rn(2.0f * s);
-
-            // check when grad_wav_size is too big
-            if ((c_img_rows + 1) < grad_wav_size || (c_img_cols + 1) < grad_wav_size)
-                return;
-
-            // Calc X, Y, angle and store it to shared memory
-            const int tid = threadIdx.y * blockDim.x + threadIdx.x;
-
-            float X = 0.0f, Y = 0.0f, angle = 0.0f;
-
-            if (tid < ORI_SAMPLES)
-            {
-                const float margin = (float)(grad_wav_size - 1) / 2.0f;
-                const int x = __float2int_rn(featureX[blockIdx.x] + c_aptX[tid] * s - margin);
-                const int y = __float2int_rn(featureY[blockIdx.x] + c_aptY[tid] * s - margin);
-
-                if (y >= 0 && y < (c_img_rows + 1) - grad_wav_size &&
-                    x >= 0 && x < (c_img_cols + 1) - grad_wav_size)
-                {
-                    X = c_aptW[tid] * icvCalcHaarPatternSum<2>(c_NX, 4, grad_wav_size, y, x);
-                    Y = c_aptW[tid] * icvCalcHaarPatternSum<2>(c_NY, 4, grad_wav_size, y, x);
-
-                    angle = atan2f(Y, X);
-                    if (angle < 0)
-                        angle += 2.0f * CV_PI_F;
-                    angle *= 180.0f / CV_PI_F;
-                }
-            }
-            s_X[tid] = X;
-            s_Y[tid] = Y;
-            s_angle[tid] = angle;
-            __syncthreads();
-
-            float bestx = 0, besty = 0, best_mod = 0;
-
-        #if __CUDA_ARCH__ >= 200
-            #pragma unroll
-        #endif
-            for (int i = 0; i < 18; ++i)
-            {
-                const int dir = (i * 4 + threadIdx.y) * ORI_SEARCH_INC;
-
-                float sumx = 0.0f, sumy = 0.0f;
-                int d = ::abs(__float2int_rn(s_angle[threadIdx.x]) - dir);
-                if (d < ORI_WIN / 2 || d > 360 - ORI_WIN / 2)
-                {
-                    sumx = s_X[threadIdx.x];
-                    sumy = s_Y[threadIdx.x];
-                }
-                d = ::abs(__float2int_rn(s_angle[threadIdx.x + 32]) - dir);
-                if (d < ORI_WIN / 2 || d > 360 - ORI_WIN / 2)
-                {
-                    sumx += s_X[threadIdx.x + 32];
-                    sumy += s_Y[threadIdx.x + 32];
-                }
-                d = ::abs(__float2int_rn(s_angle[threadIdx.x + 64]) - dir);
-                if (d < ORI_WIN / 2 || d > 360 - ORI_WIN / 2)
-                {
-                    sumx += s_X[threadIdx.x + 64];
-                    sumy += s_Y[threadIdx.x + 64];
-                }
-                d = ::abs(__float2int_rn(s_angle[threadIdx.x + 96]) - dir);
-                if (d < ORI_WIN / 2 || d > 360 - ORI_WIN / 2)
-                {
-                    sumx += s_X[threadIdx.x + 96];
-                    sumy += s_Y[threadIdx.x + 96];
-                }
-
-                plus<float> op;
-                device::reduce<32>(smem_tuple(s_sumx + threadIdx.y * 32, s_sumy + threadIdx.y * 32),
-                                   thrust::tie(sumx, sumy), threadIdx.x, thrust::make_tuple(op, op));
-
-                const float temp_mod = sumx * sumx + sumy * sumy;
-                if (temp_mod > best_mod)
-                {
-                    best_mod = temp_mod;
-                    bestx = sumx;
-                    besty = sumy;
-                }
-
-                __syncthreads();
-            }
-
-            if (threadIdx.x == 0)
-            {
-                s_X[threadIdx.y] = bestx;
-                s_Y[threadIdx.y] = besty;
-                s_angle[threadIdx.y] = best_mod;
-            }
-            __syncthreads();
-
-            if (threadIdx.x == 0 && threadIdx.y == 0)
-            {
-                int bestIdx = 0;
-
-                if (s_angle[1] > s_angle[bestIdx])
-                    bestIdx = 1;
-                if (s_angle[2] > s_angle[bestIdx])
-                    bestIdx = 2;
-                if (s_angle[3] > s_angle[bestIdx])
-                    bestIdx = 3;
-
-                float kp_dir = atan2f(s_Y[bestIdx], s_X[bestIdx]);
-                if (kp_dir < 0)
-                    kp_dir += 2.0f * CV_PI_F;
-                kp_dir *= 180.0f / CV_PI_F;
-
-                kp_dir = 360.0f - kp_dir;
-                if (::fabsf(kp_dir - 360.f) < numeric_limits<float>::epsilon())
-                    kp_dir = 0.f;
-
-                featureDir[blockIdx.x] = kp_dir;
-            }
-        }
-
-        #undef ORI_SEARCH_INC
-        #undef ORI_WIN
-        #undef ORI_SAMPLES
-
-        void icvCalcOrientation_gpu(const float* featureX, const float* featureY, const float* featureSize, float* featureDir, int nFeatures)
-        {
-            dim3 threads;
-            threads.x = 32;
-            threads.y = 4;
-
-            dim3 grid;
-            grid.x = nFeatures;
-
-            icvCalcOrientation<<<grid, threads>>>(featureX, featureY, featureSize, featureDir);
-            cudaSafeCall( cudaGetLastError() );
-
-            cudaSafeCall( cudaDeviceSynchronize() );
-        }
-
-        ////////////////////////////////////////////////////////////////////////
-        // Descriptors
-
-        #define PATCH_SZ 20
-
-        __constant__ float c_DW[PATCH_SZ * PATCH_SZ] =
-        {
-            3.695352233989979e-006f, 8.444558261544444e-006f, 1.760426494001877e-005f, 3.34794785885606e-005f, 5.808438800158911e-005f, 9.193058212986216e-005f, 0.0001327334757661447f, 0.0001748319627949968f, 0.0002100782439811155f, 0.0002302826324012131f, 0.0002302826324012131f, 0.0002100782439811155f, 0.0001748319627949968f, 0.0001327334757661447f, 9.193058212986216e-005f, 5.808438800158911e-005f, 3.34794785885606e-005f, 1.760426494001877e-005f, 8.444558261544444e-006f, 3.695352233989979e-006f,
-            8.444558261544444e-006f, 1.929736572492402e-005f, 4.022897701361217e-005f, 7.650675252079964e-005f, 0.0001327334903180599f, 0.0002100782585330308f, 0.0003033203829545528f, 0.0003995231236331165f, 0.0004800673632416874f, 0.0005262381164357066f, 0.0005262381164357066f, 0.0004800673632416874f, 0.0003995231236331165f, 0.0003033203829545528f, 0.0002100782585330308f, 0.0001327334903180599f, 7.650675252079964e-005f, 4.022897701361217e-005f, 1.929736572492402e-005f, 8.444558261544444e-006f,
-            1.760426494001877e-005f, 4.022897701361217e-005f, 8.386484114453197e-005f, 0.0001594926579855382f, 0.0002767078403849155f, 0.0004379475140012801f, 0.0006323281559161842f, 0.0008328808471560478f, 0.001000790391117334f, 0.001097041997127235f, 0.001097041997127235f, 0.001000790391117334f, 0.0008328808471560478f, 0.0006323281559161842f, 0.0004379475140012801f, 0.0002767078403849155f, 0.0001594926579855382f, 8.386484114453197e-005f, 4.022897701361217e-005f, 1.760426494001877e-005f,
-            3.34794785885606e-005f, 7.650675252079964e-005f, 0.0001594926579855382f, 0.0003033203247468919f, 0.0005262380582280457f, 0.0008328807889483869f, 0.001202550483867526f, 0.001583957928232849f, 0.001903285388834775f, 0.002086334861814976f, 0.002086334861814976f, 0.001903285388834775f, 0.001583957928232849f, 0.001202550483867526f, 0.0008328807889483869f, 0.0005262380582280457f, 0.0003033203247468919f, 0.0001594926579855382f, 7.650675252079964e-005f, 3.34794785885606e-005f,
-            5.808438800158911e-005f, 0.0001327334903180599f, 0.0002767078403849155f, 0.0005262380582280457f, 0.0009129836107604206f, 0.001444985857233405f, 0.002086335094645619f, 0.002748048631474376f, 0.00330205773934722f, 0.003619635012000799f, 0.003619635012000799f, 0.00330205773934722f, 0.002748048631474376f, 0.002086335094645619f, 0.001444985857233405f, 0.0009129836107604206f, 0.0005262380582280457f, 0.0002767078403849155f, 0.0001327334903180599f, 5.808438800158911e-005f,
-            9.193058212986216e-005f, 0.0002100782585330308f, 0.0004379475140012801f, 0.0008328807889483869f, 0.001444985857233405f, 0.002286989474669099f, 0.00330205773934722f, 0.004349356517195702f, 0.00522619066759944f, 0.005728822201490402f, 0.005728822201490402f, 0.00522619066759944f, 0.004349356517195702f, 0.00330205773934722f, 0.002286989474669099f, 0.001444985857233405f, 0.0008328807889483869f, 0.0004379475140012801f, 0.0002100782585330308f, 9.193058212986216e-005f,
-            0.0001327334757661447f, 0.0003033203829545528f, 0.0006323281559161842f, 0.001202550483867526f, 0.002086335094645619f, 0.00330205773934722f, 0.004767658654600382f, 0.006279794964939356f, 0.007545807864516974f, 0.008271530270576477f, 0.008271530270576477f, 0.007545807864516974f, 0.006279794964939356f, 0.004767658654600382f, 0.00330205773934722f, 0.002086335094645619f, 0.001202550483867526f, 0.0006323281559161842f, 0.0003033203829545528f, 0.0001327334757661447f,
-            0.0001748319627949968f, 0.0003995231236331165f, 0.0008328808471560478f, 0.001583957928232849f, 0.002748048631474376f, 0.004349356517195702f, 0.006279794964939356f, 0.008271529339253902f, 0.009939077310264111f, 0.01089497376233339f, 0.01089497376233339f, 0.009939077310264111f, 0.008271529339253902f, 0.006279794964939356f, 0.004349356517195702f, 0.002748048631474376f, 0.001583957928232849f, 0.0008328808471560478f, 0.0003995231236331165f, 0.0001748319627949968f,
-            0.0002100782439811155f, 0.0004800673632416874f, 0.001000790391117334f, 0.001903285388834775f, 0.00330205773934722f, 0.00522619066759944f, 0.007545807864516974f, 0.009939077310264111f, 0.01194280479103327f, 0.01309141051024199f, 0.01309141051024199f, 0.01194280479103327f, 0.009939077310264111f, 0.007545807864516974f, 0.00522619066759944f, 0.00330205773934722f, 0.001903285388834775f, 0.001000790391117334f, 0.0004800673632416874f, 0.0002100782439811155f,
-            0.0002302826324012131f, 0.0005262381164357066f, 0.001097041997127235f, 0.002086334861814976f, 0.003619635012000799f, 0.005728822201490402f, 0.008271530270576477f, 0.01089497376233339f, 0.01309141051024199f, 0.01435048412531614f, 0.01435048412531614f, 0.01309141051024199f, 0.01089497376233339f, 0.008271530270576477f, 0.005728822201490402f, 0.003619635012000799f, 0.002086334861814976f, 0.001097041997127235f, 0.0005262381164357066f, 0.0002302826324012131f,
-            0.0002302826324012131f, 0.0005262381164357066f, 0.001097041997127235f, 0.002086334861814976f, 0.003619635012000799f, 0.005728822201490402f, 0.008271530270576477f, 0.01089497376233339f, 0.01309141051024199f, 0.01435048412531614f, 0.01435048412531614f, 0.01309141051024199f, 0.01089497376233339f, 0.008271530270576477f, 0.005728822201490402f, 0.003619635012000799f, 0.002086334861814976f, 0.001097041997127235f, 0.0005262381164357066f, 0.0002302826324012131f,
-            0.0002100782439811155f, 0.0004800673632416874f, 0.001000790391117334f, 0.001903285388834775f, 0.00330205773934722f, 0.00522619066759944f, 0.007545807864516974f, 0.009939077310264111f, 0.01194280479103327f, 0.01309141051024199f, 0.01309141051024199f, 0.01194280479103327f, 0.009939077310264111f, 0.007545807864516974f, 0.00522619066759944f, 0.00330205773934722f, 0.001903285388834775f, 0.001000790391117334f, 0.0004800673632416874f, 0.0002100782439811155f,
-            0.0001748319627949968f, 0.0003995231236331165f, 0.0008328808471560478f, 0.001583957928232849f, 0.002748048631474376f, 0.004349356517195702f, 0.006279794964939356f, 0.008271529339253902f, 0.009939077310264111f, 0.01089497376233339f, 0.01089497376233339f, 0.009939077310264111f, 0.008271529339253902f, 0.006279794964939356f, 0.004349356517195702f, 0.002748048631474376f, 0.001583957928232849f, 0.0008328808471560478f, 0.0003995231236331165f, 0.0001748319627949968f,
-            0.0001327334757661447f, 0.0003033203829545528f, 0.0006323281559161842f, 0.001202550483867526f, 0.002086335094645619f, 0.00330205773934722f, 0.004767658654600382f, 0.006279794964939356f, 0.007545807864516974f, 0.008271530270576477f, 0.008271530270576477f, 0.007545807864516974f, 0.006279794964939356f, 0.004767658654600382f, 0.00330205773934722f, 0.002086335094645619f, 0.001202550483867526f, 0.0006323281559161842f, 0.0003033203829545528f, 0.0001327334757661447f,
-            9.193058212986216e-005f, 0.0002100782585330308f, 0.0004379475140012801f, 0.0008328807889483869f, 0.001444985857233405f, 0.002286989474669099f, 0.00330205773934722f, 0.004349356517195702f, 0.00522619066759944f, 0.005728822201490402f, 0.005728822201490402f, 0.00522619066759944f, 0.004349356517195702f, 0.00330205773934722f, 0.002286989474669099f, 0.001444985857233405f, 0.0008328807889483869f, 0.0004379475140012801f, 0.0002100782585330308f, 9.193058212986216e-005f,
-            5.808438800158911e-005f, 0.0001327334903180599f, 0.0002767078403849155f, 0.0005262380582280457f, 0.0009129836107604206f, 0.001444985857233405f, 0.002086335094645619f, 0.002748048631474376f, 0.00330205773934722f, 0.003619635012000799f, 0.003619635012000799f, 0.00330205773934722f, 0.002748048631474376f, 0.002086335094645619f, 0.001444985857233405f, 0.0009129836107604206f, 0.0005262380582280457f, 0.0002767078403849155f, 0.0001327334903180599f, 5.808438800158911e-005f,
-            3.34794785885606e-005f, 7.650675252079964e-005f, 0.0001594926579855382f, 0.0003033203247468919f, 0.0005262380582280457f, 0.0008328807889483869f, 0.001202550483867526f, 0.001583957928232849f, 0.001903285388834775f, 0.002086334861814976f, 0.002086334861814976f, 0.001903285388834775f, 0.001583957928232849f, 0.001202550483867526f, 0.0008328807889483869f, 0.0005262380582280457f, 0.0003033203247468919f, 0.0001594926579855382f, 7.650675252079964e-005f, 3.34794785885606e-005f,
-            1.760426494001877e-005f, 4.022897701361217e-005f, 8.386484114453197e-005f, 0.0001594926579855382f, 0.0002767078403849155f, 0.0004379475140012801f, 0.0006323281559161842f, 0.0008328808471560478f, 0.001000790391117334f, 0.001097041997127235f, 0.001097041997127235f, 0.001000790391117334f, 0.0008328808471560478f, 0.0006323281559161842f, 0.0004379475140012801f, 0.0002767078403849155f, 0.0001594926579855382f, 8.386484114453197e-005f, 4.022897701361217e-005f, 1.760426494001877e-005f,
-            8.444558261544444e-006f, 1.929736572492402e-005f, 4.022897701361217e-005f, 7.650675252079964e-005f, 0.0001327334903180599f, 0.0002100782585330308f, 0.0003033203829545528f, 0.0003995231236331165f, 0.0004800673632416874f, 0.0005262381164357066f, 0.0005262381164357066f, 0.0004800673632416874f, 0.0003995231236331165f, 0.0003033203829545528f, 0.0002100782585330308f, 0.0001327334903180599f, 7.650675252079964e-005f, 4.022897701361217e-005f, 1.929736572492402e-005f, 8.444558261544444e-006f,
-            3.695352233989979e-006f, 8.444558261544444e-006f, 1.760426494001877e-005f, 3.34794785885606e-005f, 5.808438800158911e-005f, 9.193058212986216e-005f, 0.0001327334757661447f, 0.0001748319627949968f, 0.0002100782439811155f, 0.0002302826324012131f, 0.0002302826324012131f, 0.0002100782439811155f, 0.0001748319627949968f, 0.0001327334757661447f, 9.193058212986216e-005f, 5.808438800158911e-005f, 3.34794785885606e-005f, 1.760426494001877e-005f, 8.444558261544444e-006f, 3.695352233989979e-006f
-        };
-
-        struct WinReader
-        {
-            typedef uchar elem_type;
-
-            __device__ __forceinline__ uchar operator ()(int i, int j) const
-            {
-                float pixel_x = centerX + (win_offset + j) * cos_dir + (win_offset + i) * sin_dir;
-                float pixel_y = centerY - (win_offset + j) * sin_dir + (win_offset + i) * cos_dir;
-
-                return tex2D(imgTex, pixel_x, pixel_y);
-            }
-
-            float centerX;
-            float centerY;
-            float win_offset;
-            float cos_dir;
-            float sin_dir;
-            int width;
-            int height;
-        };
-
-        __device__ void calc_dx_dy(const float* featureX, const float* featureY, const float* featureSize, const float* featureDir,
-                                   float& dx, float& dy);
-
-        __device__ void calc_dx_dy(const float* featureX, const float* featureY, const float* featureSize, const float* featureDir,
-                                   float& dx, float& dy)
-        {
-            __shared__ float s_PATCH[PATCH_SZ + 1][PATCH_SZ + 1];
-
-            dx = dy = 0.0f;
-
-            WinReader win;
-
-            win.centerX = featureX[blockIdx.x];
-            win.centerY = featureY[blockIdx.x];
-
-            // The sampling intervals and wavelet sized for selecting an orientation
-            // and building the keypoint descriptor are defined relative to 's'
-            const float s = featureSize[blockIdx.x] * 1.2f / 9.0f;
-
-            // Extract a window of pixels around the keypoint of size 20s
-            const int win_size = (int)((PATCH_SZ + 1) * s);
-
-            win.width = win.height = win_size;
-
-            // Nearest neighbour version (faster)
-            win.win_offset = -(win_size - 1.0f) / 2.0f;
-
-            float descriptor_dir = 360.0f - featureDir[blockIdx.x];
-            if (::fabsf(descriptor_dir - 360.f) < numeric_limits<float>::epsilon())
-                descriptor_dir = 0.f;
-            descriptor_dir *= CV_PI_F / 180.0f;
-            sincosf(descriptor_dir, &win.sin_dir, &win.cos_dir);
-
-            const int tid = threadIdx.y * blockDim.x + threadIdx.x;
-
-            const int xLoadInd = tid % (PATCH_SZ + 1);
-            const int yLoadInd = tid / (PATCH_SZ + 1);
-
-            if (yLoadInd < (PATCH_SZ + 1))
-            {
-                if (s > 1)
-                {
-                    AreaFilter<WinReader> filter(win, s, s);
-                    s_PATCH[yLoadInd][xLoadInd] = filter(yLoadInd, xLoadInd);
-                }
-                else
-                {
-                    LinearFilter<WinReader> filter(win);
-                    s_PATCH[yLoadInd][xLoadInd] = filter(yLoadInd * s, xLoadInd * s);
-                }
-            }
-
-            __syncthreads();
-
-            const int xPatchInd = threadIdx.x % 5;
-            const int yPatchInd = threadIdx.x / 5;
-
-            if (yPatchInd < 5)
-            {
-                const int xBlockInd = threadIdx.y % 4;
-                const int yBlockInd = threadIdx.y / 4;
-
-                const int xInd = xBlockInd * 5 + xPatchInd;
-                const int yInd = yBlockInd * 5 + yPatchInd;
-
-                const float dw = c_DW[yInd * PATCH_SZ + xInd];
-
-                dx = (s_PATCH[yInd    ][xInd + 1] - s_PATCH[yInd][xInd] + s_PATCH[yInd + 1][xInd + 1] - s_PATCH[yInd + 1][xInd    ]) * dw;
-                dy = (s_PATCH[yInd + 1][xInd    ] - s_PATCH[yInd][xInd] + s_PATCH[yInd + 1][xInd + 1] - s_PATCH[yInd    ][xInd + 1]) * dw;
-            }
-        }
-
-        __global__ void compute_descriptors_64(PtrStep<float4> descriptors, const float* featureX, const float* featureY, const float* featureSize, const float* featureDir)
-        {
-            __shared__ float smem[32 * 16];
-
-            float* sRow = smem + threadIdx.y * 32;
-
-            float dx, dy;
-            calc_dx_dy(featureX, featureY, featureSize, featureDir, dx, dy);
-
-            float dxabs = ::fabsf(dx);
-            float dyabs = ::fabsf(dy);
-
-            plus<float> op;
-
-            reduce<32>(sRow, dx, threadIdx.x, op);
-            reduce<32>(sRow, dy, threadIdx.x, op);
-            reduce<32>(sRow, dxabs, threadIdx.x, op);
-            reduce<32>(sRow, dyabs, threadIdx.x, op);
-
-            float4* descriptors_block = descriptors.ptr(blockIdx.x) + threadIdx.y;
-
-            // write dx, dy, |dx|, |dy|
-            if (threadIdx.x == 0)
-                *descriptors_block = make_float4(dx, dy, dxabs, dyabs);
-        }
-
-        __global__ void compute_descriptors_128(PtrStep<float4> descriptors, const float* featureX, const float* featureY, const float* featureSize, const float* featureDir)
-        {
-            __shared__ float smem[32 * 16];
-
-            float* sRow = smem + threadIdx.y * 32;
-
-            float dx, dy;
-            calc_dx_dy(featureX, featureY, featureSize, featureDir, dx, dy);
-
-            float4* descriptors_block = descriptors.ptr(blockIdx.x) + threadIdx.y * 2;
-
-            plus<float> op;
-
-            float d1 = 0.0f;
-            float d2 = 0.0f;
-            float abs1 = 0.0f;
-            float abs2 = 0.0f;
-
-            if (dy >= 0)
-            {
-                d1 = dx;
-                abs1 = ::fabsf(dx);
-            }
-            else
-            {
-                d2 = dx;
-                abs2 = ::fabsf(dx);
-            }
-
-            reduce<32>(sRow, d1, threadIdx.x, op);
-            reduce<32>(sRow, d2, threadIdx.x, op);
-            reduce<32>(sRow, abs1, threadIdx.x, op);
-            reduce<32>(sRow, abs2, threadIdx.x, op);
-
-            // write dx (dy >= 0), |dx| (dy >= 0), dx (dy < 0), |dx| (dy < 0)
-            if (threadIdx.x == 0)
-                descriptors_block[0] = make_float4(d1, abs1, d2, abs2);
-
-            if (dx >= 0)
-            {
-                d1 = dy;
-                abs1 = ::fabsf(dy);
-                d2 = 0.0f;
-                abs2 = 0.0f;
-            }
-            else
-            {
-                d1 = 0.0f;
-                abs1 = 0.0f;
-                d2 = dy;
-                abs2 = ::fabsf(dy);
-            }
-
-            reduce<32>(sRow, d1, threadIdx.x, op);
-            reduce<32>(sRow, d2, threadIdx.x, op);
-            reduce<32>(sRow, abs1, threadIdx.x, op);
-            reduce<32>(sRow, abs2, threadIdx.x, op);
-
-            // write dy (dx >= 0), |dy| (dx >= 0), dy (dx < 0), |dy| (dx < 0)
-            if (threadIdx.x == 0)
-                descriptors_block[1] = make_float4(d1, abs1, d2, abs2);
-        }
-
-        template <int BLOCK_DIM_X> __global__ void normalize_descriptors(PtrStepf descriptors)
-        {
-            __shared__ float smem[BLOCK_DIM_X];
-            __shared__ float s_len;
-
-            // no need for thread ID
-            float* descriptor_base = descriptors.ptr(blockIdx.x);
-
-            // read in the unnormalized descriptor values (squared)
-            const float val = descriptor_base[threadIdx.x];
-
-            float len = val * val;
-            reduce<BLOCK_DIM_X>(smem, len, threadIdx.x, plus<float>());
-
-            if (threadIdx.x == 0)
-                s_len = ::sqrtf(len);
-
-            __syncthreads();
-
-            // normalize and store in output
-            descriptor_base[threadIdx.x] = val / s_len;
-        }
-
-        void compute_descriptors_gpu(PtrStepSz<float4> descriptors, const float* featureX, const float* featureY, const float* featureSize, const float* featureDir, int nFeatures)
-        {
-            // compute unnormalized descriptors, then normalize them - odd indexing since grid must be 2D
-
-            if (descriptors.cols == 64)
-            {
-                compute_descriptors_64<<<nFeatures, dim3(32, 16)>>>(descriptors, featureX, featureY, featureSize, featureDir);
-                cudaSafeCall( cudaGetLastError() );
-
-                cudaSafeCall( cudaDeviceSynchronize() );
-
-                normalize_descriptors<64><<<nFeatures, 64>>>((PtrStepSzf) descriptors);
-                cudaSafeCall( cudaGetLastError() );
-
-                cudaSafeCall( cudaDeviceSynchronize() );
-            }
-            else
-            {
-                compute_descriptors_128<<<nFeatures, dim3(32, 16)>>>(descriptors, featureX, featureY, featureSize, featureDir);
-                cudaSafeCall( cudaGetLastError() );
-
-                cudaSafeCall( cudaDeviceSynchronize() );
-
-                normalize_descriptors<128><<<nFeatures, 128>>>((PtrStepSzf) descriptors);
-                cudaSafeCall( cudaGetLastError() );
-
-                cudaSafeCall( cudaDeviceSynchronize() );
-            }
-        }
-    } // namespace surf
-}}} // namespace cv { namespace cuda { namespace cudev
-
-#endif // HAVE_OPENCV_CUDAARITHM
diff --git a/modules/nonfree/src/nonfree_init.cpp b/modules/nonfree/src/nonfree_init.cpp
deleted file mode 100644
index c59e735482..0000000000
--- a/modules/nonfree/src/nonfree_init.cpp
+++ /dev/null
@@ -1,74 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                          License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "precomp.hpp"
-
-namespace cv
-{
-
-///////////////////////////////////////////////////////////////////////////////////////////////////////////
-
-CV_INIT_ALGORITHM(SURF, "Feature2D.SURF",
-                  obj.info()->addParam(obj, "hessianThreshold", obj.hessianThreshold);
-                  obj.info()->addParam(obj, "nOctaves", obj.nOctaves);
-                  obj.info()->addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
-                  obj.info()->addParam(obj, "extended", obj.extended);
-                  obj.info()->addParam(obj, "upright", obj.upright))
-
-///////////////////////////////////////////////////////////////////////////////////////////////////////////
-
-CV_INIT_ALGORITHM(SIFT, "Feature2D.SIFT",
-                  obj.info()->addParam(obj, "nFeatures", obj.nfeatures);
-                  obj.info()->addParam(obj, "nOctaveLayers", obj.nOctaveLayers);
-                  obj.info()->addParam(obj, "contrastThreshold", obj.contrastThreshold);
-                  obj.info()->addParam(obj, "edgeThreshold", obj.edgeThreshold);
-                  obj.info()->addParam(obj, "sigma", obj.sigma))
-
-///////////////////////////////////////////////////////////////////////////////////////////////////////////
-
-bool initModule_nonfree(void)
-{
-    Ptr<Algorithm> sift = createSIFT_ptr_hidden(), surf = createSURF_ptr_hidden();
-    return sift->info() != 0 && surf->info() != 0;
-}
-
-}
diff --git a/modules/nonfree/src/opencl/surf.cl b/modules/nonfree/src/opencl/surf.cl
deleted file mode 100644
index 608a677cea..0000000000
--- a/modules/nonfree/src/opencl/surf.cl
+++ /dev/null
@@ -1,1347 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
-// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
-// Copyright (C) 2013, Intel Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// @Authors
-//    Peng Xiao, pengxiao@multicorewareinc.com
-//    Sen Liu, swjtuls1987@126.com
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors as is and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-// The number of degrees between orientation samples in calcOrientation
-#define ORI_SEARCH_INC  5
-
-// The local size of the calcOrientation kernel
-#define ORI_LOCAL_SIZE  (360 / ORI_SEARCH_INC)
-
-// specialized for non-image2d_t supported platform, intel HD4000, for example
-#ifndef HAVE_IMAGE2D
-__inline uint read_sumTex_(__global uint* sumTex, int sum_step, int img_rows, int img_cols, int2 coord)
-{
-    int x = clamp(coord.x, 0, img_cols);
-    int y = clamp(coord.y, 0, img_rows);
-    return sumTex[sum_step * y + x];
-}
-
-__inline uchar read_imgTex_(__global uchar* imgTex, int img_step, int img_rows, int img_cols, float2 coord)
-{
-    int x = clamp(convert_int_rte(coord.x), 0, img_cols-1);
-    int y = clamp(convert_int_rte(coord.y), 0, img_rows-1);
-    return imgTex[img_step * y + x];
-}
-
-#define read_sumTex(coord) read_sumTex_(sumTex, sum_step, img_rows, img_cols, coord)
-#define read_imgTex(coord) read_imgTex_(imgTex, img_step, img_rows, img_cols, coord)
-
-#define __PARAM_sumTex__ __global uint* sumTex, int sum_step, int sum_offset
-#define __PARAM_imgTex__ __global uchar* imgTex, int img_step, int img_offset
-
-#define __PASS_sumTex__ sumTex, sum_step, sum_offset
-#define __PASS_imgTex__ imgTex, img_step, img_offset
-
-#else
-__inline uint read_sumTex_(image2d_t sumTex, sampler_t sam, int2 coord)
-{
-    return read_imageui(sumTex, sam, coord).x;
-}
-
-__inline uchar read_imgTex_(image2d_t imgTex, sampler_t sam, float2 coord)
-{
-    return (uchar)read_imageui(imgTex, sam, coord).x;
-}
-
-#define read_sumTex(coord) read_sumTex_(sumTex, sampler, coord)
-#define read_imgTex(coord) read_imgTex_(imgTex, sampler, coord)
-
-#define __PARAM_sumTex__ image2d_t sumTex
-#define __PARAM_imgTex__ image2d_t imgTex
-
-#define __PASS_sumTex__ sumTex
-#define __PASS_imgTex__ imgTex
-
-#endif
-
-// dynamically change the precision used for floating type
-
-#if defined (DOUBLE_SUPPORT)
-#ifdef cl_khr_fp64
-#pragma OPENCL EXTENSION cl_khr_fp64:enable
-#elif defined (cl_amd_fp64)
-#pragma OPENCL EXTENSION cl_amd_fp64:enable
-#endif
-#define F double
-#else
-#define F float
-#endif
-
-// Image read mode
-__constant sampler_t sampler = CLK_NORMALIZED_COORDS_FALSE | CLK_ADDRESS_CLAMP_TO_EDGE | CLK_FILTER_NEAREST;
-
-#ifndef FLT_EPSILON
-#define FLT_EPSILON (1e-15)
-#endif
-
-#ifndef CV_PI_F
-#define CV_PI_F 3.14159265f
-#endif
-
-////////////////////////////////////////////////////////////////////////
-// Hessian
-
-__inline int calcSize(int octave, int layer)
-{
-    /* Wavelet size at first layer of first octave. */
-    const int HAAR_SIZE0 = 9;
-
-    /* Wavelet size increment between layers. This should be an even number,
-    such that the wavelet sizes in an octave are either all even or all odd.
-    This ensures that when looking for the neighbours of a sample, the layers
-    above and below are aligned correctly. */
-    const int HAAR_SIZE_INC = 6;
-
-    return (HAAR_SIZE0 + HAAR_SIZE_INC * layer) << octave;
-}
-
-// Calculate a derivative in an axis-aligned direction (x or y).  The "plus1"
-// boxes contribute 1 * (area), and the "minus2" box contributes -2 * (area).
-// So the final computation is plus1a + plus1b - 2 * minus2.  The corners are
-// labeled A, B, C, and D, with A being the top left, B being top right, C
-// being bottom left, and D being bottom right.
-F calcAxisAlignedDerivative(
-        int plus1a_A, int plus1a_B, int plus1a_C, int plus1a_D, F plus1a_scale,
-        int plus1b_A, int plus1b_B, int plus1b_C, int plus1b_D, F plus1b_scale,
-        int minus2_A, int minus2_B, int minus2_C, int minus2_D, F minus2_scale)
-{
-    F plus1a = plus1a_A - plus1a_B - plus1a_C + plus1a_D;
-    F plus1b = plus1b_A - plus1b_B - plus1b_C + plus1b_D;
-    F minus2 = minus2_A - minus2_B - minus2_C + minus2_D;
-
-    return (plus1a / plus1a_scale -
-            2.0f * minus2 / minus2_scale +
-            plus1b / plus1b_scale);
-}
-
-//calculate targeted layer per-pixel determinant and trace with an integral image
-__kernel void SURF_calcLayerDetAndTrace(
-    __PARAM_sumTex__, // input integral image
-    int img_rows, int img_cols,
-    int c_nOctaveLayers, int c_octave, int c_layer_rows,
-
-    __global float * det,      // output determinant
-    int det_step, int det_offset,
-    __global float * trace,    // output trace
-    int trace_step, int trace_offset)
-{
-    det_step   /= sizeof(*det);
-    trace_step /= sizeof(*trace);
-    #ifndef HAVE_IMAGE2D
-    sum_step/= sizeof(uint);
-    #endif
-    // Determine the indices
-    const int gridDim_y  = get_num_groups(1) / (c_nOctaveLayers + 2);
-    const int blockIdx_y = get_group_id(1) % gridDim_y;
-    const int blockIdx_z = get_group_id(1) / gridDim_y;
-
-    const int j = get_local_id(0) + get_group_id(0) * get_local_size(0);
-    const int i = get_local_id(1) + blockIdx_y * get_local_size(1);
-    const int layer = blockIdx_z;
-
-    const int size = calcSize(c_octave, layer);
-
-    const int samples_i = 1 + ((img_rows - size) >> c_octave);
-    const int samples_j = 1 + ((img_cols - size) >> c_octave);
-
-    // Ignore pixels where some of the kernel is outside the image
-    const int margin = (size >> 1) >> c_octave;
-
-    if (size <= img_rows && size <= img_cols && i < samples_i && j < samples_j)
-    {
-        int x = j << c_octave;
-        int y = i << c_octave;
-
-        float ratio = (float)size / 9;
-
-        // Precompute some commonly used values, which are used to offset
-        // texture coordinates in the integral image.
-        int r1 = round(ratio);
-        int r2 = round(ratio * 2.0f);
-        int r3 = round(ratio * 3.0f);
-        int r4 = round(ratio * 4.0f);
-        int r5 = round(ratio * 5.0f);
-        int r6 = round(ratio * 6.0f);
-        int r7 = round(ratio * 7.0f);
-        int r8 = round(ratio * 8.0f);
-        int r9 = round(ratio * 9.0f);
-
-        // Calculate the approximated derivative in the x-direction
-        F d = 0;
-        {
-            // Some of the pixels needed to compute the derivative are
-            // repeated, so we only don't duplicate the fetch here.
-            int t02 = read_sumTex( (int2)(x, y + r2));
-            int t07 = read_sumTex( (int2)(x, y + r7));
-            int t32 = read_sumTex( (int2)(x + r3, y + r2));
-            int t37 = read_sumTex( (int2)(x + r3, y + r7));
-            int t62 = read_sumTex( (int2)(x + r6, y + r2));
-            int t67 = read_sumTex( (int2)(x + r6, y + r7));
-            int t92 = read_sumTex( (int2)(x + r9, y + r2));
-            int t97 = read_sumTex( (int2)(x + r9, y + r7));
-
-            d = calcAxisAlignedDerivative(t02, t07, t32, t37, (r3) * (r7 - r2),
-                                          t62, t67, t92, t97, (r9 - r6) * (r7 - r2),
-                                          t32, t37, t62, t67, (r6 - r3) * (r7 - r2));
-        }
-        const float dx  = (float)d;
-
-        // Calculate the approximated derivative in the y-direction
-        d = 0;
-        {
-            // Some of the pixels needed to compute the derivative are
-            // repeated, so we only don't duplicate the fetch here.
-            int t20 = read_sumTex( (int2)(x + r2, y) );
-            int t23 = read_sumTex( (int2)(x + r2, y + r3) );
-            int t70 = read_sumTex( (int2)(x + r7, y) );
-            int t73 = read_sumTex( (int2)(x + r7, y + r3) );
-            int t26 = read_sumTex( (int2)(x + r2, y + r6) );
-            int t76 = read_sumTex( (int2)(x + r7, y + r6) );
-            int t29 = read_sumTex( (int2)(x + r2, y + r9) );
-            int t79 = read_sumTex( (int2)(x + r7, y + r9) );
-
-            d = calcAxisAlignedDerivative(t20, t23, t70, t73, (r7 - r2) * (r3),
-                                          t26, t29, t76, t79, (r7 - r2) * (r9 - r6),
-                                          t23, t26, t73, t76, (r7 - r2) * (r6 - r3));
-        }
-        const float dy  = (float)d;
-
-        // Calculate the approximated derivative in the xy-direction
-        d = 0;
-        {
-            // There's no saving us here, we just have to get all of the pixels in
-            // separate fetches
-            F t = 0;
-            t += read_sumTex( (int2)(x + r1, y + r1) );
-            t -= read_sumTex( (int2)(x + r1, y + r4) );
-            t -= read_sumTex( (int2)(x + r4, y + r1) );
-            t += read_sumTex( (int2)(x + r4, y + r4) );
-            d += t / ((r4 - r1) * (r4 - r1));
-
-            t = 0;
-            t += read_sumTex( (int2)(x + r5, y + r1) );
-            t -= read_sumTex( (int2)(x + r5, y + r4) );
-            t -= read_sumTex( (int2)(x + r8, y + r1) );
-            t += read_sumTex( (int2)(x + r8, y + r4) );
-            d -= t / ((r8 - r5) * (r4 - r1));
-
-            t = 0;
-            t += read_sumTex( (int2)(x + r1, y + r5) );
-            t -= read_sumTex( (int2)(x + r1, y + r8) );
-            t -= read_sumTex( (int2)(x + r4, y + r5) );
-            t += read_sumTex( (int2)(x + r4, y + r8) );
-            d -= t / ((r4 - r1) * (r8 - r5));
-
-            t = 0;
-            t += read_sumTex( (int2)(x + r5, y + r5) );
-            t -= read_sumTex( (int2)(x + r5, y + r8) );
-            t -= read_sumTex( (int2)(x + r8, y + r5) );
-            t += read_sumTex( (int2)(x + r8, y + r8) );
-            d += t / ((r8 - r5) * (r8 - r5));
-        }
-        const float dxy = (float)d;
-
-        det  [j + margin + det_step   * (layer * c_layer_rows + i + margin)] = dx * dy - 0.81f * dxy * dxy;
-        trace[j + margin + trace_step * (layer * c_layer_rows + i + margin)] = dx + dy;
-    }
-}
-
-////////////////////////////////////////////////////////////////////////
-// NONMAX
-
-__kernel
-void SURF_findMaximaInLayer(
-    __global float * det,
-    int det_step, int det_offset,
-    __global float * trace,
-    int trace_step, int trace_offset,
-    __global int4 * maxPosBuffer,
-    volatile __global  int* maxCounter,
-    int counter_offset,
-    int img_rows,
-    int img_cols,
-    int c_nOctaveLayers,
-    int c_octave,
-    int c_layer_rows,
-    int c_layer_cols,
-    int c_max_candidates,
-    float c_hessianThreshold
-)
-{
-    volatile __local  float N9[768]; // threads.x * threads.y * 3
-
-    det_step   /= sizeof(float);
-    trace_step /= sizeof(float);
-    maxCounter += counter_offset;
-
-    // Determine the indices
-    const int gridDim_y  = get_num_groups(1) / c_nOctaveLayers;
-    const int blockIdx_y = get_group_id(1)   % gridDim_y;
-    const int blockIdx_z = get_group_id(1)   / gridDim_y;
-
-    const int layer = blockIdx_z + 1;
-
-    const int size = calcSize(c_octave, layer);
-
-    // Ignore pixels without a 3x3x3 neighbourhood in the layer above
-    const int margin = ((calcSize(c_octave, layer + 1) >> 1) >> c_octave) + 1;
-
-    const int j = get_local_id(0) + get_group_id(0) * (get_local_size(0) - 2) + margin - 1;
-    const int i = get_local_id(1) + blockIdx_y      * (get_local_size(1) - 2) + margin - 1;
-
-    // Is this thread within the hessian buffer?
-    const int zoff     = get_local_size(0) * get_local_size(1);
-    const int localLin = get_local_id(0) + get_local_id(1) * get_local_size(0) + zoff;
-
-    int l_x = min(max(j, 0), img_cols - 1);
-    int l_y = c_layer_rows * layer + min(max(i, 0), img_rows - 1);
-
-    N9[localLin - zoff] =
-        det[det_step * (l_y - c_layer_rows) + l_x];
-    N9[localLin       ] =
-        det[det_step * (l_y               ) + l_x];
-    N9[localLin + zoff] =
-        det[det_step * (l_y + c_layer_rows) + l_x];
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    if (i < c_layer_rows - margin
-            && j < c_layer_cols - margin
-            && get_local_id(0) > 0
-            && get_local_id(0) < get_local_size(0) - 1
-            && get_local_id(1) > 0
-            && get_local_id(1) < get_local_size(1) - 1 // these are unnecessary conditions ported from CUDA
-       )
-    {
-        float val0 = N9[localLin];
-        if (val0 > c_hessianThreshold)
-        {
-            // Coordinates for the start of the wavelet in the sum image. There
-            // is some integer division involved, so don't try to simplify this
-            // (cancel out sampleStep) without checking the result is the same
-
-            // Check to see if we have a max (in its 26 neighbours)
-            const bool condmax = val0 > N9[localLin - 1 - get_local_size(0) - zoff]
-                                 &&                   val0 > N9[localLin     - get_local_size(0) - zoff]
-                                 &&                   val0 > N9[localLin + 1 - get_local_size(0) - zoff]
-                                 &&                   val0 > N9[localLin - 1                     - zoff]
-                                 &&                   val0 > N9[localLin                         - zoff]
-                                 &&                   val0 > N9[localLin + 1                     - zoff]
-                                 &&                   val0 > N9[localLin - 1 + get_local_size(0) - zoff]
-                                 &&                   val0 > N9[localLin     + get_local_size(0) - zoff]
-                                 &&                   val0 > N9[localLin + 1 + get_local_size(0) - zoff]
-
-                                 &&                   val0 > N9[localLin - 1 - get_local_size(0)]
-                                 &&                   val0 > N9[localLin     - get_local_size(0)]
-                                 &&                   val0 > N9[localLin + 1 - get_local_size(0)]
-                                 &&                   val0 > N9[localLin - 1                    ]
-                                 &&                   val0 > N9[localLin + 1                    ]
-                                 &&                   val0 > N9[localLin - 1 + get_local_size(0)]
-                                 &&                   val0 > N9[localLin     + get_local_size(0)]
-                                 &&                   val0 > N9[localLin + 1 + get_local_size(0)]
-
-                                 &&                   val0 > N9[localLin - 1 - get_local_size(0) + zoff]
-                                 &&                   val0 > N9[localLin     - get_local_size(0) + zoff]
-                                 &&                   val0 > N9[localLin + 1 - get_local_size(0) + zoff]
-                                 &&                   val0 > N9[localLin - 1                     + zoff]
-                                 &&                   val0 > N9[localLin                         + zoff]
-                                 &&                   val0 > N9[localLin + 1                     + zoff]
-                                 &&                   val0 > N9[localLin - 1 + get_local_size(0) + zoff]
-                                 &&                   val0 > N9[localLin     + get_local_size(0) + zoff]
-                                 &&                   val0 > N9[localLin + 1 + get_local_size(0) + zoff]
-                                 ;
-
-            if(condmax)
-            {
-                int ind = atomic_inc(maxCounter);
-
-                if (ind < c_max_candidates)
-                {
-                    const int laplacian = (int) copysign(1.0f, trace[trace_step* (layer * c_layer_rows + i) + j]);
-
-                    maxPosBuffer[ind] = (int4)(j, i, layer, laplacian);
-                }
-            }
-        }
-    }
-}
-
-// solve 3x3 linear system Ax=b for floating point input
-inline bool solve3x3_float(const float4 *A, const float *b, float *x)
-{
-    float det = A[0].x * (A[1].y * A[2].z - A[1].z * A[2].y)
-                - A[0].y * (A[1].x * A[2].z - A[1].z * A[2].x)
-                + A[0].z * (A[1].x * A[2].y - A[1].y * A[2].x);
-
-    if (det != 0)
-    {
-        F invdet = 1.0f / det;
-
-        x[0] = invdet *
-               (b[0]    * (A[1].y * A[2].z - A[1].z * A[2].y) -
-                A[0].y * (b[1]    * A[2].z - A[1].z * b[2]   ) +
-                A[0].z * (b[1]    * A[2].y - A[1].y * b[2]   ));
-
-        x[1] = invdet *
-               (A[0].x * (b[1]    * A[2].z - A[1].z * b[2]   ) -
-                b[0]    * (A[1].x * A[2].z - A[1].z * A[2].x) +
-                A[0].z * (A[1].x * b[2]    - b[1]    * A[2].x));
-
-        x[2] = invdet *
-               (A[0].x * (A[1].y * b[2]    - b[1]    * A[2].y) -
-                A[0].y * (A[1].x * b[2]    - b[1]    * A[2].x) +
-                b[0]    * (A[1].x * A[2].y - A[1].y * A[2].x));
-
-        return true;
-    }
-    return false;
-}
-
-#define X_ROW          0
-#define Y_ROW          1
-#define LAPLACIAN_ROW  2
-#define OCTAVE_ROW     3
-#define SIZE_ROW       4
-#define ANGLE_ROW      5
-#define HESSIAN_ROW    6
-#define ROWS_COUNT     7
-
-////////////////////////////////////////////////////////////////////////
-// INTERPOLATION
-__kernel
-void SURF_interpolateKeypoint(
-    __global const float * det,
-    int det_step, int det_offset,
-    __global const int4 * maxPosBuffer,
-    __global float * keypoints,
-    int keypoints_step, int keypoints_offset,
-    volatile __global int* featureCounter,
-    int img_rows,
-    int img_cols,
-    int c_octave,
-    int c_layer_rows,
-    int c_max_features
-)
-{
-    det_step /= sizeof(*det);
-    keypoints_step /= sizeof(*keypoints);
-    __global float * featureX       = keypoints + X_ROW * keypoints_step;
-    __global float * featureY       = keypoints + Y_ROW * keypoints_step;
-    __global int * featureLaplacian = (__global int *)keypoints + LAPLACIAN_ROW * keypoints_step;
-    __global int * featureOctave    = (__global int *)keypoints + OCTAVE_ROW * keypoints_step;
-    __global float * featureSize    = keypoints + SIZE_ROW * keypoints_step;
-    __global float * featureHessian = keypoints + HESSIAN_ROW * keypoints_step;
-
-    const int4 maxPos = maxPosBuffer[get_group_id(0)];
-
-    const int j = maxPos.x - 1 + get_local_id(0);
-    const int i = maxPos.y - 1 + get_local_id(1);
-    const int layer = maxPos.z - 1 + get_local_id(2);
-
-    volatile __local  float N9[3][3][3];
-
-    N9[get_local_id(2)][get_local_id(1)][get_local_id(0)] =
-        det[det_step * (c_layer_rows * layer + i) + j];
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    if (get_local_id(0) == 0 && get_local_id(1) == 0 && get_local_id(2) == 0)
-    {
-        float dD[3];
-
-        //dx
-        dD[0] = -0.5f * (N9[1][1][2] - N9[1][1][0]);
-        //dy
-        dD[1] = -0.5f * (N9[1][2][1] - N9[1][0][1]);
-        //ds
-        dD[2] = -0.5f * (N9[2][1][1] - N9[0][1][1]);
-
-        float4 H[3];
-
-        //dxx
-        H[0].x = N9[1][1][0] - 2.0f * N9[1][1][1] + N9[1][1][2];
-        //dxy
-        H[0].y= 0.25f * (N9[1][2][2] - N9[1][2][0] - N9[1][0][2] + N9[1][0][0]);
-        //dxs
-        H[0].z= 0.25f * (N9[2][1][2] - N9[2][1][0] - N9[0][1][2] + N9[0][1][0]);
-        //dyx = dxy
-        H[1].x = H[0].y;
-        //dyy
-        H[1].y = N9[1][0][1] - 2.0f * N9[1][1][1] + N9[1][2][1];
-        //dys
-        H[1].z= 0.25f * (N9[2][2][1] - N9[2][0][1] - N9[0][2][1] + N9[0][0][1]);
-        //dsx = dxs
-        H[2].x = H[0].z;
-        //dsy = dys
-        H[2].y = H[1].z;
-        //dss
-        H[2].z = N9[0][1][1] - 2.0f * N9[1][1][1] + N9[2][1][1];
-
-        float x[3];
-
-        if (solve3x3_float(H, dD, x))
-        {
-            if (fabs(x[0]) <= 1.f && fabs(x[1]) <= 1.f && fabs(x[2]) <= 1.f)
-            {
-                // if the step is within the interpolation region, perform it
-
-                const int size = calcSize(c_octave, maxPos.z);
-
-                const int sum_i = (maxPos.y - ((size >> 1) >> c_octave)) << c_octave;
-                const int sum_j = (maxPos.x - ((size >> 1) >> c_octave)) << c_octave;
-
-                const float center_i = sum_i + (float)(size - 1) / 2;
-                const float center_j = sum_j + (float)(size - 1) / 2;
-
-                const float px = center_j + x[0] * (1 << c_octave);
-                const float py = center_i + x[1] * (1 << c_octave);
-
-                const int ds = size - calcSize(c_octave, maxPos.z - 1);
-                const float psize = round(size + x[2] * ds);
-
-                /* The sampling intervals and wavelet sized for selecting an orientation
-                and building the keypoint descriptor are defined relative to 's' */
-                const float s = psize * 1.2f / 9.0f;
-
-                /* To find the dominant orientation, the gradients in x and y are
-                sampled in a circle of radius 6s using wavelets of size 4s.
-                We ensure the gradient wavelet size is even to ensure the
-                wavelet pattern is balanced and symmetric around its center */
-                const int grad_wav_size = 2 * round(2.0f * s);
-
-                // check when grad_wav_size is too big
-                if ((img_rows + 1) >= grad_wav_size && (img_cols + 1) >= grad_wav_size)
-                {
-                    // Get a new feature index.
-                    int ind = atomic_inc(featureCounter);
-
-                    if (ind < c_max_features)
-                    {
-                        featureX[ind] = px;
-                        featureY[ind] = py;
-                        featureLaplacian[ind] = maxPos.w;
-                        featureOctave[ind] = c_octave;
-                        featureSize[ind] = psize;
-                        featureHessian[ind] = N9[1][1][1];
-                    }
-                } // grad_wav_size check
-            } // If the subpixel interpolation worked
-        }
-    } // If this is thread 0.
-}
-
-////////////////////////////////////////////////////////////////////////
-// Orientation
-
-#define ORI_WIN			 60
-#define ORI_SAMPLES		 113
-
-// The distance between samples in the beginning of the the reduction
-#define ORI_RESPONSE_REDUCTION_WIDTH		 48
-#define ORI_RESPONSE_ARRAY_SIZE			     (ORI_RESPONSE_REDUCTION_WIDTH * 2)
-
-__constant float c_aptX[ORI_SAMPLES] = {-6, -5, -5, -5, -5, -5, -5, -5, -4, -4, -4, -4, -4, -4, -4, -4, -4, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -3, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 6};
-__constant float c_aptY[ORI_SAMPLES] = {0, -3, -2, -1, 0, 1, 2, 3, -4, -3, -2, -1, 0, 1, 2, 3, 4, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, -4, -3, -2, -1, 0, 1, 2, 3, 4, -3, -2, -1, 0, 1, 2, 3, 0};
-__constant float c_aptW[ORI_SAMPLES] = {0.001455130288377404f, 0.001707611023448408f, 0.002547456417232752f, 0.003238451667129993f, 0.0035081731621176f,
-                                        0.003238451667129993f, 0.002547456417232752f, 0.001707611023448408f, 0.002003900473937392f, 0.0035081731621176f, 0.005233579315245152f,
-                                        0.00665318313986063f, 0.00720730796456337f, 0.00665318313986063f, 0.005233579315245152f, 0.0035081731621176f,
-                                        0.002003900473937392f, 0.001707611023448408f, 0.0035081731621176f, 0.006141661666333675f, 0.009162282571196556f,
-                                        0.01164754293859005f, 0.01261763460934162f, 0.01164754293859005f, 0.009162282571196556f, 0.006141661666333675f,
-                                        0.0035081731621176f, 0.001707611023448408f, 0.002547456417232752f, 0.005233579315245152f, 0.009162282571196556f,
-                                        0.01366852037608624f, 0.01737609319388866f, 0.0188232995569706f, 0.01737609319388866f, 0.01366852037608624f,
-                                        0.009162282571196556f, 0.005233579315245152f, 0.002547456417232752f, 0.003238451667129993f, 0.00665318313986063f,
-                                        0.01164754293859005f, 0.01737609319388866f, 0.02208934165537357f, 0.02392910048365593f, 0.02208934165537357f,
-                                        0.01737609319388866f, 0.01164754293859005f, 0.00665318313986063f, 0.003238451667129993f, 0.001455130288377404f,
-                                        0.0035081731621176f, 0.00720730796456337f, 0.01261763460934162f, 0.0188232995569706f, 0.02392910048365593f,
-                                        0.02592208795249462f, 0.02392910048365593f, 0.0188232995569706f, 0.01261763460934162f, 0.00720730796456337f,
-                                        0.0035081731621176f, 0.001455130288377404f, 0.003238451667129993f, 0.00665318313986063f, 0.01164754293859005f,
-                                        0.01737609319388866f, 0.02208934165537357f, 0.02392910048365593f, 0.02208934165537357f, 0.01737609319388866f,
-                                        0.01164754293859005f, 0.00665318313986063f, 0.003238451667129993f, 0.002547456417232752f, 0.005233579315245152f,
-                                        0.009162282571196556f, 0.01366852037608624f, 0.01737609319388866f, 0.0188232995569706f, 0.01737609319388866f,
-                                        0.01366852037608624f, 0.009162282571196556f, 0.005233579315245152f, 0.002547456417232752f, 0.001707611023448408f,
-                                        0.0035081731621176f, 0.006141661666333675f, 0.009162282571196556f, 0.01164754293859005f, 0.01261763460934162f,
-                                        0.01164754293859005f, 0.009162282571196556f, 0.006141661666333675f, 0.0035081731621176f, 0.001707611023448408f,
-                                        0.002003900473937392f, 0.0035081731621176f, 0.005233579315245152f, 0.00665318313986063f, 0.00720730796456337f,
-                                        0.00665318313986063f, 0.005233579315245152f, 0.0035081731621176f, 0.002003900473937392f, 0.001707611023448408f,
-                                        0.002547456417232752f, 0.003238451667129993f, 0.0035081731621176f, 0.003238451667129993f, 0.002547456417232752f,
-                                        0.001707611023448408f, 0.001455130288377404f
-                                       };
-
-__constant float2 c_NX[5] = { (float2)(0, 2), (float2)(0, 0), (float2)(2, 4), (float2)(4, 4), (float2)(-1, 1) };
-__constant float2 c_NY[5] = { (float2)(0, 0), (float2)(0, 2), (float2)(4, 4), (float2)(2, 4), (float2)(1, -1) };
-
-void reduce_32_sum(volatile __local  float * data, volatile float* partial_reduction, int tid)
-{
-#define op(A, B) (*A)+(B)
-    data[tid] = *partial_reduction;
-    barrier(CLK_LOCAL_MEM_FENCE);
-#ifndef WAVE_SIZE
-#define WAVE_SIZE 1
-#endif
-    if (tid < 16)
-    {
-        data[tid] = *partial_reduction = op(partial_reduction, data[tid + 16]);
-#if WAVE_SIZE < 16
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 8)
-    {
-#endif
-        data[tid] = *partial_reduction = op(partial_reduction, data[tid + 8]);
-#if WAVE_SIZE < 8
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 4)
-    {
-#endif
-        data[tid] = *partial_reduction = op(partial_reduction, data[tid + 4]);
-#if WAVE_SIZE < 4
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 2)
-    {
-#endif
-        data[tid] = *partial_reduction = op(partial_reduction, data[tid + 2 ]);
-#if WAVE_SIZE < 2
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 1)
-    {
-#endif
-        data[tid] = *partial_reduction = op(partial_reduction, data[tid + 1 ]);
-    }
-#undef WAVE_SIZE
-#undef op
-}
-
-__kernel
-void SURF_calcOrientation(
-    __PARAM_sumTex__, int img_rows, int img_cols,
-    __global float * keypoints, int keypoints_step, int keypoints_offset )
-{
-    keypoints_step /= sizeof(*keypoints);
-    #ifndef HAVE_IMAGE2D
-    sum_step       /= sizeof(uint);
-    #endif
-    __global float* featureX    = keypoints + X_ROW * keypoints_step;
-    __global float* featureY    = keypoints + Y_ROW * keypoints_step;
-    __global float* featureSize = keypoints + SIZE_ROW * keypoints_step;
-    __global float* featureDir  = keypoints + ANGLE_ROW * keypoints_step;
-
-    __local  float s_X[ORI_SAMPLES];
-    __local  float s_Y[ORI_SAMPLES];
-    __local  float s_angle[ORI_SAMPLES];
-
-    // Need to allocate enough to make the reduction work without accessing
-    // past the end of the array.
-    __local  float s_sumx[ORI_RESPONSE_ARRAY_SIZE];
-    __local  float s_sumy[ORI_RESPONSE_ARRAY_SIZE];
-    __local  float s_mod[ORI_RESPONSE_ARRAY_SIZE];
-
-    /* The sampling intervals and wavelet sized for selecting an orientation
-    and building the keypoint descriptor are defined relative to 's' */
-    const float s = featureSize[get_group_id(0)] * 1.2f / 9.0f;
-
-    /* To find the dominant orientation, the gradients in x and y are
-    sampled in a circle of radius 6s using wavelets of size 4s.
-    We ensure the gradient wavelet size is even to ensure the
-    wavelet pattern is balanced and symmetric around its center */
-    const int grad_wav_size = 2 * round(2.0f * s);
-
-    // check when grad_wav_size is too big
-    if ((img_rows + 1) < grad_wav_size || (img_cols + 1) < grad_wav_size)
-        return;
-
-    // Calc X, Y, angle and store it to shared memory
-    const int tid = get_local_id(0);
-    // Initialize values that are only used as part of the reduction later.
-    if (tid < ORI_RESPONSE_ARRAY_SIZE - ORI_LOCAL_SIZE) {
-        s_mod[tid + ORI_LOCAL_SIZE] = 0.0f;
-    }
-
-    float ratio = (float)grad_wav_size / 4;
-
-    int r2 = round(ratio * 2.0f);
-    int r4 = round(ratio * 4.0f);
-    for (int i = tid; i < ORI_SAMPLES; i += ORI_LOCAL_SIZE )
-    {
-        float X = 0.0f, Y = 0.0f, angle = 0.0f;
-        const float margin = (float)(grad_wav_size - 1) / 2.0f;
-        const int x = round(featureX[get_group_id(0)] + c_aptX[i] * s - margin);
-        const int y = round(featureY[get_group_id(0)] + c_aptY[i] * s - margin);
-
-        if (y >= 0 && y < (img_rows + 1) - grad_wav_size &&
-            x >= 0 && x < (img_cols + 1) - grad_wav_size)
-        {
-            float apt = c_aptW[i];
-
-            // Compute the haar sum without fetching duplicate pixels.
-            float t00 = read_sumTex( (int2)(x, y));
-            float t02 = read_sumTex( (int2)(x, y + r2));
-            float t04 = read_sumTex( (int2)(x, y + r4));
-            float t20 = read_sumTex( (int2)(x + r2, y));
-            float t24 = read_sumTex( (int2)(x + r2, y + r4));
-            float t40 = read_sumTex( (int2)(x + r4, y));
-            float t42 = read_sumTex( (int2)(x + r4, y + r2));
-            float t44 = read_sumTex( (int2)(x + r4, y + r4));
-
-            F t = t00 - t04 - t20 + t24;
-            X -= t / ((r2) * (r4));
-
-            t = t20 - t24 - t40 + t44;
-            X += t / ((r4 - r2) * (r4));
-
-            t = t00 - t02 - t40 + t42;
-            Y += t / ((r2) * (r4));
-
-            t = t02 - t04 - t42 + t44;
-            Y -= t  / ((r4) * (r4 - r2));
-
-            X = apt*X;
-            Y = apt*Y;
-
-            angle = atan2(Y, X);
-
-            if (angle < 0)
-                angle += 2.0f * CV_PI_F;
-            angle *= 180.0f / CV_PI_F;
-
-        }
-
-        s_X[i] = X;
-        s_Y[i] = Y;
-        s_angle[i] = angle;
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    float bestx = 0, besty = 0, best_mod = 0;
-    float sumx = 0.0f, sumy = 0.0f;
-    const int dir = tid * ORI_SEARCH_INC;
-    #pragma unroll
-    for (int i = 0; i < ORI_SAMPLES; ++i) {
-        int angle = round(s_angle[i]);
-
-        int d = abs(angle - dir);
-        if (d < ORI_WIN / 2 || d > 360 - ORI_WIN / 2)
-        {
-            sumx += s_X[i];
-            sumy += s_Y[i];
-        }
-    }
-    s_sumx[tid] = sumx;
-    s_sumy[tid] = sumy;
-    s_mod[tid] = sumx*sumx + sumy*sumy;
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    // This reduction searches for the longest wavelet response vector.  The first
-    // step uses all of the work items in the workgroup to narrow the search
-    // down to the three candidates.  It requires s_mod to have a few more
-    // elements allocated past the work-group size, which are pre-initialized to
-    // 0.0f above.
-    for(int t = ORI_RESPONSE_REDUCTION_WIDTH; t >= 3; t /= 2) {
-        if (tid < t) {
-            if (s_mod[tid] < s_mod[tid + t]) {
-                s_mod[tid] = s_mod[tid + t];
-                s_sumx[tid] = s_sumx[tid + t];
-                s_sumy[tid] = s_sumy[tid + t];
-            }
-        }
-        barrier(CLK_LOCAL_MEM_FENCE);
-    }
-
-    // Do the final reduction and write out the result.
-    if (tid == 0)
-    {
-        int bestIdx = 0;
-
-        // The loop above narrowed the search of the longest vector to three
-        // possibilities.  Pick the best here.
-        if (s_mod[1] > s_mod[bestIdx])
-            bestIdx = 1;
-        if (s_mod[2] > s_mod[bestIdx])
-            bestIdx = 2;
-
-        float kp_dir = atan2(s_sumy[bestIdx], s_sumx[bestIdx]);
-        if (kp_dir < 0)
-            kp_dir += 2.0f * CV_PI_F;
-        kp_dir *= 180.0f / CV_PI_F;
-
-        kp_dir = 360.0f - kp_dir;
-        if (fabs(kp_dir - 360.f) < FLT_EPSILON)
-            kp_dir = 0.f;
-
-        featureDir[get_group_id(0)] = kp_dir;
-    }
-}
-
-__kernel
-void SURF_setUpRight(
-    __global float * keypoints,
-    int keypoints_step, int keypoints_offset,
-    int rows, int cols )
-{
-    int i = get_global_id(0);
-    keypoints_step /= sizeof(*keypoints);
-
-    if(i < cols)
-    {
-        keypoints[mad24(keypoints_step, ANGLE_ROW, i)] = 270.f;
-    }
-}
-
-
-#undef ORI_SEARCH_INC
-#undef ORI_WIN
-#undef ORI_SAMPLES
-
-////////////////////////////////////////////////////////////////////////
-// Descriptors
-
-#define PATCH_SZ 20
-
-__constant float c_DW[PATCH_SZ * PATCH_SZ] =
-{
-    3.695352233989979e-006f, 8.444558261544444e-006f, 1.760426494001877e-005f, 3.34794785885606e-005f, 5.808438800158911e-005f, 9.193058212986216e-005f, 0.0001327334757661447f, 0.0001748319627949968f, 0.0002100782439811155f, 0.0002302826324012131f, 0.0002302826324012131f, 0.0002100782439811155f, 0.0001748319627949968f, 0.0001327334757661447f, 9.193058212986216e-005f, 5.808438800158911e-005f, 3.34794785885606e-005f, 1.760426494001877e-005f, 8.444558261544444e-006f, 3.695352233989979e-006f,
-    8.444558261544444e-006f, 1.929736572492402e-005f, 4.022897701361217e-005f, 7.650675252079964e-005f, 0.0001327334903180599f, 0.0002100782585330308f, 0.0003033203829545528f, 0.0003995231236331165f, 0.0004800673632416874f, 0.0005262381164357066f, 0.0005262381164357066f, 0.0004800673632416874f, 0.0003995231236331165f, 0.0003033203829545528f, 0.0002100782585330308f, 0.0001327334903180599f, 7.650675252079964e-005f, 4.022897701361217e-005f, 1.929736572492402e-005f, 8.444558261544444e-006f,
-    1.760426494001877e-005f, 4.022897701361217e-005f, 8.386484114453197e-005f, 0.0001594926579855382f, 0.0002767078403849155f, 0.0004379475140012801f, 0.0006323281559161842f, 0.0008328808471560478f, 0.001000790391117334f, 0.001097041997127235f, 0.001097041997127235f, 0.001000790391117334f, 0.0008328808471560478f, 0.0006323281559161842f, 0.0004379475140012801f, 0.0002767078403849155f, 0.0001594926579855382f, 8.386484114453197e-005f, 4.022897701361217e-005f, 1.760426494001877e-005f,
-    3.34794785885606e-005f, 7.650675252079964e-005f, 0.0001594926579855382f, 0.0003033203247468919f, 0.0005262380582280457f, 0.0008328807889483869f, 0.001202550483867526f, 0.001583957928232849f, 0.001903285388834775f, 0.002086334861814976f, 0.002086334861814976f, 0.001903285388834775f, 0.001583957928232849f, 0.001202550483867526f, 0.0008328807889483869f, 0.0005262380582280457f, 0.0003033203247468919f, 0.0001594926579855382f, 7.650675252079964e-005f, 3.34794785885606e-005f,
-    5.808438800158911e-005f, 0.0001327334903180599f, 0.0002767078403849155f, 0.0005262380582280457f, 0.0009129836107604206f, 0.001444985857233405f, 0.002086335094645619f, 0.002748048631474376f, 0.00330205773934722f, 0.003619635012000799f, 0.003619635012000799f, 0.00330205773934722f, 0.002748048631474376f, 0.002086335094645619f, 0.001444985857233405f, 0.0009129836107604206f, 0.0005262380582280457f, 0.0002767078403849155f, 0.0001327334903180599f, 5.808438800158911e-005f,
-    9.193058212986216e-005f, 0.0002100782585330308f, 0.0004379475140012801f, 0.0008328807889483869f, 0.001444985857233405f, 0.002286989474669099f, 0.00330205773934722f, 0.004349356517195702f, 0.00522619066759944f, 0.005728822201490402f, 0.005728822201490402f, 0.00522619066759944f, 0.004349356517195702f, 0.00330205773934722f, 0.002286989474669099f, 0.001444985857233405f, 0.0008328807889483869f, 0.0004379475140012801f, 0.0002100782585330308f, 9.193058212986216e-005f,
-    0.0001327334757661447f, 0.0003033203829545528f, 0.0006323281559161842f, 0.001202550483867526f, 0.002086335094645619f, 0.00330205773934722f, 0.004767658654600382f, 0.006279794964939356f, 0.007545807864516974f, 0.008271530270576477f, 0.008271530270576477f, 0.007545807864516974f, 0.006279794964939356f, 0.004767658654600382f, 0.00330205773934722f, 0.002086335094645619f, 0.001202550483867526f, 0.0006323281559161842f, 0.0003033203829545528f, 0.0001327334757661447f,
-    0.0001748319627949968f, 0.0003995231236331165f, 0.0008328808471560478f, 0.001583957928232849f, 0.002748048631474376f, 0.004349356517195702f, 0.006279794964939356f, 0.008271529339253902f, 0.009939077310264111f, 0.01089497376233339f, 0.01089497376233339f, 0.009939077310264111f, 0.008271529339253902f, 0.006279794964939356f, 0.004349356517195702f, 0.002748048631474376f, 0.001583957928232849f, 0.0008328808471560478f, 0.0003995231236331165f, 0.0001748319627949968f,
-    0.0002100782439811155f, 0.0004800673632416874f, 0.001000790391117334f, 0.001903285388834775f, 0.00330205773934722f, 0.00522619066759944f, 0.007545807864516974f, 0.009939077310264111f, 0.01194280479103327f, 0.01309141051024199f, 0.01309141051024199f, 0.01194280479103327f, 0.009939077310264111f, 0.007545807864516974f, 0.00522619066759944f, 0.00330205773934722f, 0.001903285388834775f, 0.001000790391117334f, 0.0004800673632416874f, 0.0002100782439811155f,
-    0.0002302826324012131f, 0.0005262381164357066f, 0.001097041997127235f, 0.002086334861814976f, 0.003619635012000799f, 0.005728822201490402f, 0.008271530270576477f, 0.01089497376233339f, 0.01309141051024199f, 0.01435048412531614f, 0.01435048412531614f, 0.01309141051024199f, 0.01089497376233339f, 0.008271530270576477f, 0.005728822201490402f, 0.003619635012000799f, 0.002086334861814976f, 0.001097041997127235f, 0.0005262381164357066f, 0.0002302826324012131f,
-    0.0002302826324012131f, 0.0005262381164357066f, 0.001097041997127235f, 0.002086334861814976f, 0.003619635012000799f, 0.005728822201490402f, 0.008271530270576477f, 0.01089497376233339f, 0.01309141051024199f, 0.01435048412531614f, 0.01435048412531614f, 0.01309141051024199f, 0.01089497376233339f, 0.008271530270576477f, 0.005728822201490402f, 0.003619635012000799f, 0.002086334861814976f, 0.001097041997127235f, 0.0005262381164357066f, 0.0002302826324012131f,
-    0.0002100782439811155f, 0.0004800673632416874f, 0.001000790391117334f, 0.001903285388834775f, 0.00330205773934722f, 0.00522619066759944f, 0.007545807864516974f, 0.009939077310264111f, 0.01194280479103327f, 0.01309141051024199f, 0.01309141051024199f, 0.01194280479103327f, 0.009939077310264111f, 0.007545807864516974f, 0.00522619066759944f, 0.00330205773934722f, 0.001903285388834775f, 0.001000790391117334f, 0.0004800673632416874f, 0.0002100782439811155f,
-    0.0001748319627949968f, 0.0003995231236331165f, 0.0008328808471560478f, 0.001583957928232849f, 0.002748048631474376f, 0.004349356517195702f, 0.006279794964939356f, 0.008271529339253902f, 0.009939077310264111f, 0.01089497376233339f, 0.01089497376233339f, 0.009939077310264111f, 0.008271529339253902f, 0.006279794964939356f, 0.004349356517195702f, 0.002748048631474376f, 0.001583957928232849f, 0.0008328808471560478f, 0.0003995231236331165f, 0.0001748319627949968f,
-    0.0001327334757661447f, 0.0003033203829545528f, 0.0006323281559161842f, 0.001202550483867526f, 0.002086335094645619f, 0.00330205773934722f, 0.004767658654600382f, 0.006279794964939356f, 0.007545807864516974f, 0.008271530270576477f, 0.008271530270576477f, 0.007545807864516974f, 0.006279794964939356f, 0.004767658654600382f, 0.00330205773934722f, 0.002086335094645619f, 0.001202550483867526f, 0.0006323281559161842f, 0.0003033203829545528f, 0.0001327334757661447f,
-    9.193058212986216e-005f, 0.0002100782585330308f, 0.0004379475140012801f, 0.0008328807889483869f, 0.001444985857233405f, 0.002286989474669099f, 0.00330205773934722f, 0.004349356517195702f, 0.00522619066759944f, 0.005728822201490402f, 0.005728822201490402f, 0.00522619066759944f, 0.004349356517195702f, 0.00330205773934722f, 0.002286989474669099f, 0.001444985857233405f, 0.0008328807889483869f, 0.0004379475140012801f, 0.0002100782585330308f, 9.193058212986216e-005f,
-    5.808438800158911e-005f, 0.0001327334903180599f, 0.0002767078403849155f, 0.0005262380582280457f, 0.0009129836107604206f, 0.001444985857233405f, 0.002086335094645619f, 0.002748048631474376f, 0.00330205773934722f, 0.003619635012000799f, 0.003619635012000799f, 0.00330205773934722f, 0.002748048631474376f, 0.002086335094645619f, 0.001444985857233405f, 0.0009129836107604206f, 0.0005262380582280457f, 0.0002767078403849155f, 0.0001327334903180599f, 5.808438800158911e-005f,
-    3.34794785885606e-005f, 7.650675252079964e-005f, 0.0001594926579855382f, 0.0003033203247468919f, 0.0005262380582280457f, 0.0008328807889483869f, 0.001202550483867526f, 0.001583957928232849f, 0.001903285388834775f, 0.002086334861814976f, 0.002086334861814976f, 0.001903285388834775f, 0.001583957928232849f, 0.001202550483867526f, 0.0008328807889483869f, 0.0005262380582280457f, 0.0003033203247468919f, 0.0001594926579855382f, 7.650675252079964e-005f, 3.34794785885606e-005f,
-    1.760426494001877e-005f, 4.022897701361217e-005f, 8.386484114453197e-005f, 0.0001594926579855382f, 0.0002767078403849155f, 0.0004379475140012801f, 0.0006323281559161842f, 0.0008328808471560478f, 0.001000790391117334f, 0.001097041997127235f, 0.001097041997127235f, 0.001000790391117334f, 0.0008328808471560478f, 0.0006323281559161842f, 0.0004379475140012801f, 0.0002767078403849155f, 0.0001594926579855382f, 8.386484114453197e-005f, 4.022897701361217e-005f, 1.760426494001877e-005f,
-    8.444558261544444e-006f, 1.929736572492402e-005f, 4.022897701361217e-005f, 7.650675252079964e-005f, 0.0001327334903180599f, 0.0002100782585330308f, 0.0003033203829545528f, 0.0003995231236331165f, 0.0004800673632416874f, 0.0005262381164357066f, 0.0005262381164357066f, 0.0004800673632416874f, 0.0003995231236331165f, 0.0003033203829545528f, 0.0002100782585330308f, 0.0001327334903180599f, 7.650675252079964e-005f, 4.022897701361217e-005f, 1.929736572492402e-005f, 8.444558261544444e-006f,
-    3.695352233989979e-006f, 8.444558261544444e-006f, 1.760426494001877e-005f, 3.34794785885606e-005f, 5.808438800158911e-005f, 9.193058212986216e-005f, 0.0001327334757661447f, 0.0001748319627949968f, 0.0002100782439811155f, 0.0002302826324012131f, 0.0002302826324012131f, 0.0002100782439811155f, 0.0001748319627949968f, 0.0001327334757661447f, 9.193058212986216e-005f, 5.808438800158911e-005f, 3.34794785885606e-005f, 1.760426494001877e-005f, 8.444558261544444e-006f, 3.695352233989979e-006f
-};
-
-// utility for linear filter
-#define readerGet(centerX, centerY, win_offset, cos_dir, sin_dir, i, j) \
-    read_imgTex((float2)(centerX + (win_offset + j) * cos_dir + (win_offset + i) * sin_dir, \
-                         centerY - (win_offset + j) * sin_dir + (win_offset + i) * cos_dir))
-
-inline float linearFilter(
-    __PARAM_imgTex__, int img_rows, int img_cols,
-    float centerX, float centerY, float win_offset,
-    float cos_dir, float sin_dir, float y, float x )
-{
-    x -= 0.5f;
-    y -= 0.5f;
-
-    float out = 0.0f;
-
-    const int x1 = round(x);
-    const int y1 = round(y);
-    const int x2 = x1 + 1;
-    const int y2 = y1 + 1;
-
-    uchar src_reg = readerGet(centerX, centerY, win_offset, cos_dir, sin_dir, y1, x1);
-    out = out + src_reg * ((x2 - x) * (y2 - y));
-
-    src_reg = readerGet(centerX, centerY, win_offset, cos_dir, sin_dir, y1, x2);
-    out = out + src_reg * ((x - x1) * (y2 - y));
-
-    src_reg = readerGet(centerX, centerY, win_offset, cos_dir, sin_dir, y2, x1);
-    out = out + src_reg * ((x2 - x) * (y - y1));
-
-    src_reg = readerGet(centerX, centerY, win_offset, cos_dir, sin_dir, y2, x2);
-    out = out + src_reg * ((x - x1) * (y - y1));
-
-    return out;
-}
-
-void calc_dx_dy(
-    __PARAM_imgTex__,
-    int img_rows, int img_cols,
-    volatile __local  float *s_dx_bin,
-    volatile __local  float *s_dy_bin,
-    volatile __local  float *s_PATCH,
-    __global const float* featureX,
-    __global const float* featureY,
-    __global const float* featureSize,
-    __global const float* featureDir )
-{
-    const float centerX = featureX[get_group_id(0)];
-    const float centerY = featureY[get_group_id(0)];
-    const float size = featureSize[get_group_id(0)];
-    float descriptor_dir = 360.0f - featureDir[get_group_id(0)];
-    if(fabs(descriptor_dir - 360.0f) < FLT_EPSILON)
-    {
-        descriptor_dir = 0.0f;
-    }
-
-    descriptor_dir *= (float)(CV_PI_F / 180.0f);
-
-    /* The sampling intervals and wavelet sized for selecting an orientation
-    and building the keypoint descriptor are defined relative to 's' */
-    const float s = size * 1.2f / 9.0f;
-
-    /* Extract a window of pixels around the keypoint of size 20s */
-    const int win_size = (int)((PATCH_SZ + 1) * s);
-
-    float sin_dir;
-    float cos_dir;
-    sin_dir = sincos(descriptor_dir, &cos_dir);
-
-    /* Nearest neighbour version (faster) */
-    const float win_offset = -(float)(win_size - 1) / 2;
-
-    // Compute sampling points
-    // since grids are 2D, need to compute xBlock and yBlock indices
-    const int xBlock = (get_group_id(1) & 3);  // get_group_id(1) % 4
-    const int yBlock = (get_group_id(1) >> 2); // floor(get_group_id(1)/4)
-    const int xIndex = xBlock * 5 + get_local_id(0);
-    const int yIndex = yBlock * 5 + get_local_id(1);
-
-    const float icoo = ((float)yIndex / (PATCH_SZ + 1)) * win_size;
-    const float jcoo = ((float)xIndex / (PATCH_SZ + 1)) * win_size;
-
-    s_PATCH[get_local_id(1) * 6 + get_local_id(0)] =
-        linearFilter(__PASS_imgTex__, img_rows, img_cols, centerX, centerY,
-                     win_offset, cos_dir, sin_dir, icoo, jcoo);
-
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    if (get_local_id(0) < 5 && get_local_id(1) < 5)
-    {
-        const int tid = get_local_id(1) * 5 + get_local_id(0);
-
-        const float dw = c_DW[yIndex * PATCH_SZ + xIndex];
-
-        const float vx = (
-                             s_PATCH[      get_local_id(1) * 6 + get_local_id(0) + 1] -
-                             s_PATCH[      get_local_id(1) * 6 + get_local_id(0)    ] +
-                             s_PATCH[(get_local_id(1) + 1) * 6 + get_local_id(0) + 1] -
-                             s_PATCH[(get_local_id(1) + 1) * 6 + get_local_id(0)    ])
-                         * dw;
-        const float vy = (
-                             s_PATCH[(get_local_id(1) + 1) * 6 + get_local_id(0)    ] -
-                             s_PATCH[      get_local_id(1) * 6 + get_local_id(0)    ] +
-                             s_PATCH[(get_local_id(1) + 1) * 6 + get_local_id(0) + 1] -
-                             s_PATCH[      get_local_id(1) * 6 + get_local_id(0) + 1])
-                         * dw;
-        s_dx_bin[tid] = vx;
-        s_dy_bin[tid] = vy;
-    }
-}
-
-void reduce_sum25(
-    volatile __local  float* sdata1,
-    volatile __local  float* sdata2,
-    volatile __local  float* sdata3,
-    volatile __local  float* sdata4,
-    int tid
-)
-{
-#ifndef WAVE_SIZE
-#define WAVE_SIZE 1
-#endif
-    // first step is to reduce from 25 to 16
-    if (tid < 9)
-    {
-        sdata1[tid] += sdata1[tid + 16];
-        sdata2[tid] += sdata2[tid + 16];
-        sdata3[tid] += sdata3[tid + 16];
-        sdata4[tid] += sdata4[tid + 16];
-#if WAVE_SIZE < 16
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 8)
-    {
-#endif
-        sdata1[tid] += sdata1[tid + 8];
-        sdata2[tid] += sdata2[tid + 8];
-        sdata3[tid] += sdata3[tid + 8];
-        sdata4[tid] += sdata4[tid + 8];
-#if WAVE_SIZE < 8
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 4)
-    {
-#endif
-        sdata1[tid] += sdata1[tid + 4];
-        sdata2[tid] += sdata2[tid + 4];
-        sdata3[tid] += sdata3[tid + 4];
-        sdata4[tid] += sdata4[tid + 4];
-#if WAVE_SIZE < 4
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 2)
-    {
-#endif
-        sdata1[tid] += sdata1[tid + 2];
-        sdata2[tid] += sdata2[tid + 2];
-        sdata3[tid] += sdata3[tid + 2];
-        sdata4[tid] += sdata4[tid + 2];
-#if WAVE_SIZE < 2
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 1)
-    {
-#endif
-        sdata1[tid] += sdata1[tid + 1];
-        sdata2[tid] += sdata2[tid + 1];
-        sdata3[tid] += sdata3[tid + 1];
-        sdata4[tid] += sdata4[tid + 1];
-    }
-#undef WAVE_SIZE
-}
-
-__kernel
-void SURF_computeDescriptors64(
-    __PARAM_imgTex__,
-    int img_rows, int img_cols,
-    __global const float* keypoints,
-    int keypoints_step, int keypoints_offset,
-    __global float * descriptors,
-    int descriptors_step, int descriptors_offset)
-{
-    descriptors_step /= sizeof(float);
-    keypoints_step   /= sizeof(float);
-    __global const float * featureX    = keypoints + X_ROW * keypoints_step;
-    __global const float * featureY    = keypoints + Y_ROW * keypoints_step;
-    __global const float * featureSize = keypoints + SIZE_ROW * keypoints_step;
-    __global const float * featureDir  = keypoints + ANGLE_ROW * keypoints_step;
-
-    // 2 floats (dx,dy) for each thread (5x5 sample points in each sub-region)
-    volatile __local  float sdx[25];
-    volatile __local  float sdy[25];
-    volatile __local  float sdxabs[25];
-    volatile __local  float sdyabs[25];
-    volatile __local  float s_PATCH[6*6];
-
-    calc_dx_dy(__PASS_imgTex__, img_rows, img_cols, sdx, sdy, s_PATCH, featureX, featureY, featureSize, featureDir);
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    const int tid = get_local_id(1) * get_local_size(0) + get_local_id(0);
-
-    if (tid < 25)
-    {
-        sdxabs[tid] = fabs(sdx[tid]); // |dx| array
-        sdyabs[tid] = fabs(sdy[tid]); // |dy| array
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    reduce_sum25(sdx, sdy, sdxabs, sdyabs, tid);
-
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 25)
-    {
-        __global float* descriptors_block = descriptors + descriptors_step * get_group_id(0) + (get_group_id(1) << 2);
-
-        // write dx, dy, |dx|, |dy|
-        if (tid == 0)
-        {
-            descriptors_block[0] = sdx[0];
-            descriptors_block[1] = sdy[0];
-            descriptors_block[2] = sdxabs[0];
-            descriptors_block[3] = sdyabs[0];
-        }
-    }
-}
-
-__kernel
-void SURF_computeDescriptors128(
-    __PARAM_imgTex__,
-    int img_rows, int img_cols,
-    __global const float* keypoints,
-    int keypoints_step, int keypoints_offset,
-    __global float* descriptors,
-    int descriptors_step, int descriptors_offset)
-{
-    descriptors_step /= sizeof(*descriptors);
-    keypoints_step   /= sizeof(*keypoints);
-
-    __global float * featureX   = keypoints + X_ROW * keypoints_step;
-    __global float * featureY   = keypoints + Y_ROW * keypoints_step;
-    __global float* featureSize = keypoints + SIZE_ROW * keypoints_step;
-    __global float* featureDir  = keypoints + ANGLE_ROW * keypoints_step;
-
-    // 2 floats (dx,dy) for each thread (5x5 sample points in each sub-region)
-    volatile __local  float sdx[25];
-    volatile __local  float sdy[25];
-
-    // sum (reduce) 5x5 area response
-    volatile __local  float sd1[25];
-    volatile __local  float sd2[25];
-    volatile __local  float sdabs1[25];
-    volatile __local  float sdabs2[25];
-    volatile __local  float s_PATCH[6*6];
-
-    calc_dx_dy(__PASS_imgTex__, img_rows, img_cols, sdx, sdy, s_PATCH, featureX, featureY, featureSize, featureDir);
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    const int tid = get_local_id(1) * get_local_size(0) + get_local_id(0);
-
-    if (tid < 25)
-    {
-        if (sdy[tid] >= 0)
-        {
-            sd1[tid] = sdx[tid];
-            sdabs1[tid] = fabs(sdx[tid]);
-            sd2[tid] = 0;
-            sdabs2[tid] = 0;
-        }
-        else
-        {
-            sd1[tid] = 0;
-            sdabs1[tid] = 0;
-            sd2[tid] = sdx[tid];
-            sdabs2[tid] = fabs(sdx[tid]);
-        }
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    reduce_sum25(sd1, sd2, sdabs1, sdabs2, tid);
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    __global float* descriptors_block = descriptors + descriptors_step * get_group_id(0) + (get_group_id(1) << 3);
-    if (tid < 25)
-    {
-        // write dx (dy >= 0), |dx| (dy >= 0), dx (dy < 0), |dx| (dy < 0)
-        if (tid == 0)
-        {
-            descriptors_block[0] = sd1[0];
-            descriptors_block[1] = sdabs1[0];
-            descriptors_block[2] = sd2[0];
-            descriptors_block[3] = sdabs2[0];
-        }
-
-        if (sdx[tid] >= 0)
-        {
-            sd1[tid] = sdy[tid];
-            sdabs1[tid] = fabs(sdy[tid]);
-            sd2[tid] = 0;
-            sdabs2[tid] = 0;
-        }
-        else
-        {
-            sd1[tid] = 0;
-            sdabs1[tid] = 0;
-            sd2[tid] = sdy[tid];
-            sdabs2[tid] = fabs(sdy[tid]);
-        }
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    reduce_sum25(sd1, sd2, sdabs1, sdabs2, tid);
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    if (tid < 25)
-    {
-        // write dy (dx >= 0), |dy| (dx >= 0), dy (dx < 0), |dy| (dx < 0)
-        if (tid == 0)
-        {
-            descriptors_block[4] = sd1[0];
-            descriptors_block[5] = sdabs1[0];
-            descriptors_block[6] = sd2[0];
-            descriptors_block[7] = sdabs2[0];
-        }
-    }
-}
-
-void reduce_sum128(volatile __local  float* smem, int tid)
-{
-#ifndef WAVE_SIZE
-#define WAVE_SIZE 1
-#endif
-
-    if (tid < 64)
-    {
-        smem[tid] += smem[tid + 64];
-#if WAVE_SIZE < 64
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 32)
-    {
-#endif
-        smem[tid] += smem[tid + 32];
-#if WAVE_SIZE < 32
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 16)
-    {
-#endif
-        smem[tid] += smem[tid + 16];
-#if WAVE_SIZE < 16
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 8)
-    {
-#endif
-        smem[tid] += smem[tid + 8];
-#if WAVE_SIZE < 8
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 4)
-    {
-#endif
-        smem[tid] += smem[tid + 4];
-#if WAVE_SIZE < 4
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 2)
-    {
-#endif
-        smem[tid] += smem[tid + 2];
-#if WAVE_SIZE < 2
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 1)
-    {
-#endif
-        smem[tid] += smem[tid + 1];
-    }
-}
-
-
-void reduce_sum64(volatile __local  float* smem, int tid)
-{
-#ifndef WAVE_SIZE
-#define WAVE_SIZE 1
-#endif
-    if (tid < 32)
-    {
-        smem[tid] += smem[tid + 32];
-#if WAVE_SIZE < 32
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 16)
-    {
-#endif
-        smem[tid] += smem[tid + 16];
-#if WAVE_SIZE < 16
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 8)
-    {
-#endif
-        smem[tid] += smem[tid + 8];
-#if WAVE_SIZE < 8
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 4)
-    {
-#endif
-        smem[tid] += smem[tid + 4];
-#if WAVE_SIZE < 4
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 2)
-    {
-#endif
-        smem[tid] += smem[tid + 2];
-#if WAVE_SIZE < 2
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-    if (tid < 1)
-    {
-#endif
-        smem[tid] += smem[tid + 1];
-    }
-}
-
-__kernel
-void SURF_normalizeDescriptors128(__global float * descriptors, int descriptors_step, int descriptors_offset)
-{
-    descriptors_step /= sizeof(*descriptors);
-    // no need for thread ID
-    __global float* descriptor_base = descriptors + descriptors_step * get_group_id(0);
-
-    // read in the unnormalized descriptor values (squared)
-    volatile __local  float sqDesc[128];
-    const float lookup = descriptor_base[get_local_id(0)];
-    sqDesc[get_local_id(0)] = lookup * lookup;
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    reduce_sum128(sqDesc, get_local_id(0));
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    // compute length (square root)
-    volatile __local  float len;
-    if (get_local_id(0) == 0)
-    {
-        len = sqrt(sqDesc[0]);
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    // normalize and store in output
-    descriptor_base[get_local_id(0)] = lookup / len;
-}
-
-__kernel
-void SURF_normalizeDescriptors64(__global float * descriptors, int descriptors_step, int descriptors_offset)
-{
-    descriptors_step /= sizeof(*descriptors);
-    // no need for thread ID
-    __global float* descriptor_base = descriptors + descriptors_step * get_group_id(0);
-
-    // read in the unnormalized descriptor values (squared)
-    volatile __local  float sqDesc[64];
-    const float lookup = descriptor_base[get_local_id(0)];
-    sqDesc[get_local_id(0)] = lookup * lookup;
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    reduce_sum64(sqDesc, get_local_id(0));
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    // compute length (square root)
-    volatile __local  float len;
-    if (get_local_id(0) == 0)
-    {
-        len = sqrt(sqDesc[0]);
-    }
-    barrier(CLK_LOCAL_MEM_FENCE);
-
-    // normalize and store in output
-    descriptor_base[get_local_id(0)] = lookup / len;
-}
diff --git a/modules/nonfree/src/precomp.hpp b/modules/nonfree/src/precomp.hpp
deleted file mode 100644
index 001b5003c5..0000000000
--- a/modules/nonfree/src/precomp.hpp
+++ /dev/null
@@ -1,65 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                          License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#ifndef __OPENCV_PRECOMP_H__
-#define __OPENCV_PRECOMP_H__
-
-#include "opencv2/nonfree.hpp"
-#include "opencv2/imgproc.hpp"
-
-#include "opencv2/core/utility.hpp"
-#include "opencv2/core/private.hpp"
-
-#include "opencv2/nonfree/cuda.hpp"
-#include "opencv2/core/private.cuda.hpp"
-
-#include "opencv2/core/ocl.hpp"
-
-#include "opencv2/opencv_modules.hpp"
-
-#ifdef HAVE_OPENCV_CUDAARITHM
-#  include "opencv2/cudaarithm.hpp"
-#endif
-
-#include "opencv2/core/private.hpp"
-
-#endif
diff --git a/modules/nonfree/src/sift.cpp b/modules/nonfree/src/sift.cpp
deleted file mode 100644
index 2112971e94..0000000000
--- a/modules/nonfree/src/sift.cpp
+++ /dev/null
@@ -1,816 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                          License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-/**********************************************************************************************\
- Implementation of SIFT is based on the code from http://blogs.oregonstate.edu/hess/code/sift/
- Below is the original copyright.
-
-//    Copyright (c) 2006-2010, Rob Hess <hess@eecs.oregonstate.edu>
-//    All rights reserved.
-
-//    The following patent has been issued for methods embodied in this
-//    software: "Method and apparatus for identifying scale invariant features
-//    in an image and use of same for locating an object in an image," David
-//    G. Lowe, US Patent 6,711,293 (March 23, 2004). Provisional application
-//    filed March 8, 1999. Asignee: The University of British Columbia. For
-//    further details, contact David Lowe (lowe@cs.ubc.ca) or the
-//    University-Industry Liaison Office of the University of British
-//    Columbia.
-
-//    Note that restrictions imposed by this patent (and possibly others)
-//    exist independently of and may be in conflict with the freedoms granted
-//    in this license, which refers to copyright of the program, not patents
-//    for any methods that it implements.  Both copyright and patent law must
-//    be obeyed to legally use and redistribute this program and it is not the
-//    purpose of this license to induce you to infringe any patents or other
-//    property right claims or to contest validity of any such claims.  If you
-//    redistribute or use the program, then this license merely protects you
-//    from committing copyright infringement.  It does not protect you from
-//    committing patent infringement.  So, before you do anything with this
-//    program, make sure that you have permission to do so not merely in terms
-//    of copyright, but also in terms of patent law.
-
-//    Please note that this license is not to be understood as a guarantee
-//    either.  If you use the program according to this license, but in
-//    conflict with patent law, it does not mean that the licensor will refund
-//    you for any losses that you incur if you are sued for your patent
-//    infringement.
-
-//    Redistribution and use in source and binary forms, with or without
-//    modification, are permitted provided that the following conditions are
-//    met:
-//        * Redistributions of source code must retain the above copyright and
-//          patent notices, this list of conditions and the following
-//          disclaimer.
-//        * Redistributions in binary form must reproduce the above copyright
-//          notice, this list of conditions and the following disclaimer in
-//          the documentation and/or other materials provided with the
-//          distribution.
-//        * Neither the name of Oregon State University nor the names of its
-//          contributors may be used to endorse or promote products derived
-//          from this software without specific prior written permission.
-
-//    THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS
-//    IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED
-//    TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
-//    PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
-//    HOLDER BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
-//    EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
-//    PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
-//    PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
-//    LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
-//    NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
-//    SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
-\**********************************************************************************************/
-
-#include "precomp.hpp"
-#include <iostream>
-#include <stdarg.h>
-
-namespace cv
-{
-
-/******************************* Defs and macros *****************************/
-
-// default width of descriptor histogram array
-static const int SIFT_DESCR_WIDTH = 4;
-
-// default number of bins per histogram in descriptor array
-static const int SIFT_DESCR_HIST_BINS = 8;
-
-// assumed gaussian blur for input image
-static const float SIFT_INIT_SIGMA = 0.5f;
-
-// width of border in which to ignore keypoints
-static const int SIFT_IMG_BORDER = 5;
-
-// maximum steps of keypoint interpolation before failure
-static const int SIFT_MAX_INTERP_STEPS = 5;
-
-// default number of bins in histogram for orientation assignment
-static const int SIFT_ORI_HIST_BINS = 36;
-
-// determines gaussian sigma for orientation assignment
-static const float SIFT_ORI_SIG_FCTR = 1.5f;
-
-// determines the radius of the region used in orientation assignment
-static const float SIFT_ORI_RADIUS = 3 * SIFT_ORI_SIG_FCTR;
-
-// orientation magnitude relative to max that results in new feature
-static const float SIFT_ORI_PEAK_RATIO = 0.8f;
-
-// determines the size of a single descriptor orientation histogram
-static const float SIFT_DESCR_SCL_FCTR = 3.f;
-
-// threshold on magnitude of elements of descriptor vector
-static const float SIFT_DESCR_MAG_THR = 0.2f;
-
-// factor used to convert floating-point descriptor to unsigned char
-static const float SIFT_INT_DESCR_FCTR = 512.f;
-
-#if 0
-// intermediate type used for DoG pyramids
-typedef short sift_wt;
-static const int SIFT_FIXPT_SCALE = 48;
-#else
-// intermediate type used for DoG pyramids
-typedef float sift_wt;
-static const int SIFT_FIXPT_SCALE = 1;
-#endif
-
-static inline void
-unpackOctave(const KeyPoint& kpt, int& octave, int& layer, float& scale)
-{
-    octave = kpt.octave & 255;
-    layer = (kpt.octave >> 8) & 255;
-    octave = octave < 128 ? octave : (-128 | octave);
-    scale = octave >= 0 ? 1.f/(1 << octave) : (float)(1 << -octave);
-}
-
-static Mat createInitialImage( const Mat& img, bool doubleImageSize, float sigma )
-{
-    Mat gray, gray_fpt;
-    if( img.channels() == 3 || img.channels() == 4 )
-        cvtColor(img, gray, COLOR_BGR2GRAY);
-    else
-        img.copyTo(gray);
-    gray.convertTo(gray_fpt, DataType<sift_wt>::type, SIFT_FIXPT_SCALE, 0);
-
-    float sig_diff;
-
-    if( doubleImageSize )
-    {
-        sig_diff = sqrtf( std::max(sigma * sigma - SIFT_INIT_SIGMA * SIFT_INIT_SIGMA * 4, 0.01f) );
-        Mat dbl;
-        resize(gray_fpt, dbl, Size(gray.cols*2, gray.rows*2), 0, 0, INTER_LINEAR);
-        GaussianBlur(dbl, dbl, Size(), sig_diff, sig_diff);
-        return dbl;
-    }
-    else
-    {
-        sig_diff = sqrtf( std::max(sigma * sigma - SIFT_INIT_SIGMA * SIFT_INIT_SIGMA, 0.01f) );
-        GaussianBlur(gray_fpt, gray_fpt, Size(), sig_diff, sig_diff);
-        return gray_fpt;
-    }
-}
-
-
-void SIFT::buildGaussianPyramid( const Mat& base, std::vector<Mat>& pyr, int nOctaves ) const
-{
-    std::vector<double> sig(nOctaveLayers + 3);
-    pyr.resize(nOctaves*(nOctaveLayers + 3));
-
-    // precompute Gaussian sigmas using the following formula:
-    //  \sigma_{total}^2 = \sigma_{i}^2 + \sigma_{i-1}^2
-    sig[0] = sigma;
-    double k = std::pow( 2., 1. / nOctaveLayers );
-    for( int i = 1; i < nOctaveLayers + 3; i++ )
-    {
-        double sig_prev = std::pow(k, (double)(i-1))*sigma;
-        double sig_total = sig_prev*k;
-        sig[i] = std::sqrt(sig_total*sig_total - sig_prev*sig_prev);
-    }
-
-    for( int o = 0; o < nOctaves; o++ )
-    {
-        for( int i = 0; i < nOctaveLayers + 3; i++ )
-        {
-            Mat& dst = pyr[o*(nOctaveLayers + 3) + i];
-            if( o == 0  &&  i == 0 )
-                dst = base;
-            // base of new octave is halved image from end of previous octave
-            else if( i == 0 )
-            {
-                const Mat& src = pyr[(o-1)*(nOctaveLayers + 3) + nOctaveLayers];
-                resize(src, dst, Size(src.cols/2, src.rows/2),
-                       0, 0, INTER_NEAREST);
-            }
-            else
-            {
-                const Mat& src = pyr[o*(nOctaveLayers + 3) + i-1];
-                GaussianBlur(src, dst, Size(), sig[i], sig[i]);
-            }
-        }
-    }
-}
-
-
-void SIFT::buildDoGPyramid( const std::vector<Mat>& gpyr, std::vector<Mat>& dogpyr ) const
-{
-    int nOctaves = (int)gpyr.size()/(nOctaveLayers + 3);
-    dogpyr.resize( nOctaves*(nOctaveLayers + 2) );
-
-    for( int o = 0; o < nOctaves; o++ )
-    {
-        for( int i = 0; i < nOctaveLayers + 2; i++ )
-        {
-            const Mat& src1 = gpyr[o*(nOctaveLayers + 3) + i];
-            const Mat& src2 = gpyr[o*(nOctaveLayers + 3) + i + 1];
-            Mat& dst = dogpyr[o*(nOctaveLayers + 2) + i];
-            subtract(src2, src1, dst, noArray(), DataType<sift_wt>::type);
-        }
-    }
-}
-
-
-// Computes a gradient orientation histogram at a specified pixel
-static float calcOrientationHist( const Mat& img, Point pt, int radius,
-                                  float sigma, float* hist, int n )
-{
-    int i, j, k, len = (radius*2+1)*(radius*2+1);
-
-    float expf_scale = -1.f/(2.f * sigma * sigma);
-    AutoBuffer<float> buf(len*4 + n+4);
-    float *X = buf, *Y = X + len, *Mag = X, *Ori = Y + len, *W = Ori + len;
-    float* temphist = W + len + 2;
-
-    for( i = 0; i < n; i++ )
-        temphist[i] = 0.f;
-
-    for( i = -radius, k = 0; i <= radius; i++ )
-    {
-        int y = pt.y + i;
-        if( y <= 0 || y >= img.rows - 1 )
-            continue;
-        for( j = -radius; j <= radius; j++ )
-        {
-            int x = pt.x + j;
-            if( x <= 0 || x >= img.cols - 1 )
-                continue;
-
-            float dx = (float)(img.at<sift_wt>(y, x+1) - img.at<sift_wt>(y, x-1));
-            float dy = (float)(img.at<sift_wt>(y-1, x) - img.at<sift_wt>(y+1, x));
-
-            X[k] = dx; Y[k] = dy; W[k] = (i*i + j*j)*expf_scale;
-            k++;
-        }
-    }
-
-    len = k;
-
-    // compute gradient values, orientations and the weights over the pixel neighborhood
-    exp(W, W, len);
-    fastAtan2(Y, X, Ori, len, true);
-    magnitude(X, Y, Mag, len);
-
-    for( k = 0; k < len; k++ )
-    {
-        int bin = cvRound((n/360.f)*Ori[k]);
-        if( bin >= n )
-            bin -= n;
-        if( bin < 0 )
-            bin += n;
-        temphist[bin] += W[k]*Mag[k];
-    }
-
-    // smooth the histogram
-    temphist[-1] = temphist[n-1];
-    temphist[-2] = temphist[n-2];
-    temphist[n] = temphist[0];
-    temphist[n+1] = temphist[1];
-    for( i = 0; i < n; i++ )
-    {
-        hist[i] = (temphist[i-2] + temphist[i+2])*(1.f/16.f) +
-            (temphist[i-1] + temphist[i+1])*(4.f/16.f) +
-            temphist[i]*(6.f/16.f);
-    }
-
-    float maxval = hist[0];
-    for( i = 1; i < n; i++ )
-        maxval = std::max(maxval, hist[i]);
-
-    return maxval;
-}
-
-
-//
-// Interpolates a scale-space extremum's location and scale to subpixel
-// accuracy to form an image feature. Rejects features with low contrast.
-// Based on Section 4 of Lowe's paper.
-static bool adjustLocalExtrema( const std::vector<Mat>& dog_pyr, KeyPoint& kpt, int octv,
-                                int& layer, int& r, int& c, int nOctaveLayers,
-                                float contrastThreshold, float edgeThreshold, float sigma )
-{
-    const float img_scale = 1.f/(255*SIFT_FIXPT_SCALE);
-    const float deriv_scale = img_scale*0.5f;
-    const float second_deriv_scale = img_scale;
-    const float cross_deriv_scale = img_scale*0.25f;
-
-    float xi=0, xr=0, xc=0, contr=0;
-    int i = 0;
-
-    for( ; i < SIFT_MAX_INTERP_STEPS; i++ )
-    {
-        int idx = octv*(nOctaveLayers+2) + layer;
-        const Mat& img = dog_pyr[idx];
-        const Mat& prev = dog_pyr[idx-1];
-        const Mat& next = dog_pyr[idx+1];
-
-        Vec3f dD((img.at<sift_wt>(r, c+1) - img.at<sift_wt>(r, c-1))*deriv_scale,
-                 (img.at<sift_wt>(r+1, c) - img.at<sift_wt>(r-1, c))*deriv_scale,
-                 (next.at<sift_wt>(r, c) - prev.at<sift_wt>(r, c))*deriv_scale);
-
-        float v2 = (float)img.at<sift_wt>(r, c)*2;
-        float dxx = (img.at<sift_wt>(r, c+1) + img.at<sift_wt>(r, c-1) - v2)*second_deriv_scale;
-        float dyy = (img.at<sift_wt>(r+1, c) + img.at<sift_wt>(r-1, c) - v2)*second_deriv_scale;
-        float dss = (next.at<sift_wt>(r, c) + prev.at<sift_wt>(r, c) - v2)*second_deriv_scale;
-        float dxy = (img.at<sift_wt>(r+1, c+1) - img.at<sift_wt>(r+1, c-1) -
-                     img.at<sift_wt>(r-1, c+1) + img.at<sift_wt>(r-1, c-1))*cross_deriv_scale;
-        float dxs = (next.at<sift_wt>(r, c+1) - next.at<sift_wt>(r, c-1) -
-                     prev.at<sift_wt>(r, c+1) + prev.at<sift_wt>(r, c-1))*cross_deriv_scale;
-        float dys = (next.at<sift_wt>(r+1, c) - next.at<sift_wt>(r-1, c) -
-                     prev.at<sift_wt>(r+1, c) + prev.at<sift_wt>(r-1, c))*cross_deriv_scale;
-
-        Matx33f H(dxx, dxy, dxs,
-                  dxy, dyy, dys,
-                  dxs, dys, dss);
-
-        Vec3f X = H.solve(dD, DECOMP_LU);
-
-        xi = -X[2];
-        xr = -X[1];
-        xc = -X[0];
-
-        if( std::abs(xi) < 0.5f && std::abs(xr) < 0.5f && std::abs(xc) < 0.5f )
-            break;
-
-        if( std::abs(xi) > (float)(INT_MAX/3) ||
-            std::abs(xr) > (float)(INT_MAX/3) ||
-            std::abs(xc) > (float)(INT_MAX/3) )
-            return false;
-
-        c += cvRound(xc);
-        r += cvRound(xr);
-        layer += cvRound(xi);
-
-        if( layer < 1 || layer > nOctaveLayers ||
-            c < SIFT_IMG_BORDER || c >= img.cols - SIFT_IMG_BORDER  ||
-            r < SIFT_IMG_BORDER || r >= img.rows - SIFT_IMG_BORDER )
-            return false;
-    }
-
-    // ensure convergence of interpolation
-    if( i >= SIFT_MAX_INTERP_STEPS )
-        return false;
-
-    {
-        int idx = octv*(nOctaveLayers+2) + layer;
-        const Mat& img = dog_pyr[idx];
-        const Mat& prev = dog_pyr[idx-1];
-        const Mat& next = dog_pyr[idx+1];
-        Matx31f dD((img.at<sift_wt>(r, c+1) - img.at<sift_wt>(r, c-1))*deriv_scale,
-                   (img.at<sift_wt>(r+1, c) - img.at<sift_wt>(r-1, c))*deriv_scale,
-                   (next.at<sift_wt>(r, c) - prev.at<sift_wt>(r, c))*deriv_scale);
-        float t = dD.dot(Matx31f(xc, xr, xi));
-
-        contr = img.at<sift_wt>(r, c)*img_scale + t * 0.5f;
-        if( std::abs( contr ) * nOctaveLayers < contrastThreshold )
-            return false;
-
-        // principal curvatures are computed using the trace and det of Hessian
-        float v2 = img.at<sift_wt>(r, c)*2.f;
-        float dxx = (img.at<sift_wt>(r, c+1) + img.at<sift_wt>(r, c-1) - v2)*second_deriv_scale;
-        float dyy = (img.at<sift_wt>(r+1, c) + img.at<sift_wt>(r-1, c) - v2)*second_deriv_scale;
-        float dxy = (img.at<sift_wt>(r+1, c+1) - img.at<sift_wt>(r+1, c-1) -
-                     img.at<sift_wt>(r-1, c+1) + img.at<sift_wt>(r-1, c-1)) * cross_deriv_scale;
-        float tr = dxx + dyy;
-        float det = dxx * dyy - dxy * dxy;
-
-        if( det <= 0 || tr*tr*edgeThreshold >= (edgeThreshold + 1)*(edgeThreshold + 1)*det )
-            return false;
-    }
-
-    kpt.pt.x = (c + xc) * (1 << octv);
-    kpt.pt.y = (r + xr) * (1 << octv);
-    kpt.octave = octv + (layer << 8) + (cvRound((xi + 0.5)*255) << 16);
-    kpt.size = sigma*powf(2.f, (layer + xi) / nOctaveLayers)*(1 << octv)*2;
-    kpt.response = std::abs(contr);
-
-    return true;
-}
-
-
-//
-// Detects features at extrema in DoG scale space.  Bad features are discarded
-// based on contrast and ratio of principal curvatures.
-void SIFT::findScaleSpaceExtrema( const std::vector<Mat>& gauss_pyr, const std::vector<Mat>& dog_pyr,
-                                  std::vector<KeyPoint>& keypoints ) const
-{
-    int nOctaves = (int)gauss_pyr.size()/(nOctaveLayers + 3);
-    int threshold = cvFloor(0.5 * contrastThreshold / nOctaveLayers * 255 * SIFT_FIXPT_SCALE);
-    const int n = SIFT_ORI_HIST_BINS;
-    float hist[n];
-    KeyPoint kpt;
-
-    keypoints.clear();
-
-    for( int o = 0; o < nOctaves; o++ )
-        for( int i = 1; i <= nOctaveLayers; i++ )
-        {
-            int idx = o*(nOctaveLayers+2)+i;
-            const Mat& img = dog_pyr[idx];
-            const Mat& prev = dog_pyr[idx-1];
-            const Mat& next = dog_pyr[idx+1];
-            int step = (int)img.step1();
-            int rows = img.rows, cols = img.cols;
-
-            for( int r = SIFT_IMG_BORDER; r < rows-SIFT_IMG_BORDER; r++)
-            {
-                const sift_wt* currptr = img.ptr<sift_wt>(r);
-                const sift_wt* prevptr = prev.ptr<sift_wt>(r);
-                const sift_wt* nextptr = next.ptr<sift_wt>(r);
-
-                for( int c = SIFT_IMG_BORDER; c < cols-SIFT_IMG_BORDER; c++)
-                {
-                    sift_wt val = currptr[c];
-
-                    // find local extrema with pixel accuracy
-                    if( std::abs(val) > threshold &&
-                       ((val > 0 && val >= currptr[c-1] && val >= currptr[c+1] &&
-                         val >= currptr[c-step-1] && val >= currptr[c-step] && val >= currptr[c-step+1] &&
-                         val >= currptr[c+step-1] && val >= currptr[c+step] && val >= currptr[c+step+1] &&
-                         val >= nextptr[c] && val >= nextptr[c-1] && val >= nextptr[c+1] &&
-                         val >= nextptr[c-step-1] && val >= nextptr[c-step] && val >= nextptr[c-step+1] &&
-                         val >= nextptr[c+step-1] && val >= nextptr[c+step] && val >= nextptr[c+step+1] &&
-                         val >= prevptr[c] && val >= prevptr[c-1] && val >= prevptr[c+1] &&
-                         val >= prevptr[c-step-1] && val >= prevptr[c-step] && val >= prevptr[c-step+1] &&
-                         val >= prevptr[c+step-1] && val >= prevptr[c+step] && val >= prevptr[c+step+1]) ||
-                        (val < 0 && val <= currptr[c-1] && val <= currptr[c+1] &&
-                         val <= currptr[c-step-1] && val <= currptr[c-step] && val <= currptr[c-step+1] &&
-                         val <= currptr[c+step-1] && val <= currptr[c+step] && val <= currptr[c+step+1] &&
-                         val <= nextptr[c] && val <= nextptr[c-1] && val <= nextptr[c+1] &&
-                         val <= nextptr[c-step-1] && val <= nextptr[c-step] && val <= nextptr[c-step+1] &&
-                         val <= nextptr[c+step-1] && val <= nextptr[c+step] && val <= nextptr[c+step+1] &&
-                         val <= prevptr[c] && val <= prevptr[c-1] && val <= prevptr[c+1] &&
-                         val <= prevptr[c-step-1] && val <= prevptr[c-step] && val <= prevptr[c-step+1] &&
-                         val <= prevptr[c+step-1] && val <= prevptr[c+step] && val <= prevptr[c+step+1])))
-                    {
-                        int r1 = r, c1 = c, layer = i;
-                        if( !adjustLocalExtrema(dog_pyr, kpt, o, layer, r1, c1,
-                                                nOctaveLayers, (float)contrastThreshold,
-                                                (float)edgeThreshold, (float)sigma) )
-                            continue;
-                        float scl_octv = kpt.size*0.5f/(1 << o);
-                        float omax = calcOrientationHist(gauss_pyr[o*(nOctaveLayers+3) + layer],
-                                                         Point(c1, r1),
-                                                         cvRound(SIFT_ORI_RADIUS * scl_octv),
-                                                         SIFT_ORI_SIG_FCTR * scl_octv,
-                                                         hist, n);
-                        float mag_thr = (float)(omax * SIFT_ORI_PEAK_RATIO);
-                        for( int j = 0; j < n; j++ )
-                        {
-                            int l = j > 0 ? j - 1 : n - 1;
-                            int r2 = j < n-1 ? j + 1 : 0;
-
-                            if( hist[j] > hist[l]  &&  hist[j] > hist[r2]  &&  hist[j] >= mag_thr )
-                            {
-                                float bin = j + 0.5f * (hist[l]-hist[r2]) / (hist[l] - 2*hist[j] + hist[r2]);
-                                bin = bin < 0 ? n + bin : bin >= n ? bin - n : bin;
-                                kpt.angle = 360.f - (float)((360.f/n) * bin);
-                                if(std::abs(kpt.angle - 360.f) < FLT_EPSILON)
-                                    kpt.angle = 0.f;
-                                keypoints.push_back(kpt);
-                            }
-                        }
-                    }
-                }
-            }
-        }
-}
-
-
-static void calcSIFTDescriptor( const Mat& img, Point2f ptf, float ori, float scl,
-                               int d, int n, float* dst )
-{
-    Point pt(cvRound(ptf.x), cvRound(ptf.y));
-    float cos_t = cosf(ori*(float)(CV_PI/180));
-    float sin_t = sinf(ori*(float)(CV_PI/180));
-    float bins_per_rad = n / 360.f;
-    float exp_scale = -1.f/(d * d * 0.5f);
-    float hist_width = SIFT_DESCR_SCL_FCTR * scl;
-    int radius = cvRound(hist_width * 1.4142135623730951f * (d + 1) * 0.5f);
-    // Clip the radius to the diagonal of the image to avoid autobuffer too large exception
-    radius = std::min(radius, (int) sqrt((double) img.cols*img.cols + img.rows*img.rows));
-    cos_t /= hist_width;
-    sin_t /= hist_width;
-
-    int i, j, k, len = (radius*2+1)*(radius*2+1), histlen = (d+2)*(d+2)*(n+2);
-    int rows = img.rows, cols = img.cols;
-
-    AutoBuffer<float> buf(len*6 + histlen);
-    float *X = buf, *Y = X + len, *Mag = Y, *Ori = Mag + len, *W = Ori + len;
-    float *RBin = W + len, *CBin = RBin + len, *hist = CBin + len;
-
-    for( i = 0; i < d+2; i++ )
-    {
-        for( j = 0; j < d+2; j++ )
-            for( k = 0; k < n+2; k++ )
-                hist[(i*(d+2) + j)*(n+2) + k] = 0.;
-    }
-
-    for( i = -radius, k = 0; i <= radius; i++ )
-        for( j = -radius; j <= radius; j++ )
-        {
-            // Calculate sample's histogram array coords rotated relative to ori.
-            // Subtract 0.5 so samples that fall e.g. in the center of row 1 (i.e.
-            // r_rot = 1.5) have full weight placed in row 1 after interpolation.
-            float c_rot = j * cos_t - i * sin_t;
-            float r_rot = j * sin_t + i * cos_t;
-            float rbin = r_rot + d/2 - 0.5f;
-            float cbin = c_rot + d/2 - 0.5f;
-            int r = pt.y + i, c = pt.x + j;
-
-            if( rbin > -1 && rbin < d && cbin > -1 && cbin < d &&
-                r > 0 && r < rows - 1 && c > 0 && c < cols - 1 )
-            {
-                float dx = (float)(img.at<sift_wt>(r, c+1) - img.at<sift_wt>(r, c-1));
-                float dy = (float)(img.at<sift_wt>(r-1, c) - img.at<sift_wt>(r+1, c));
-                X[k] = dx; Y[k] = dy; RBin[k] = rbin; CBin[k] = cbin;
-                W[k] = (c_rot * c_rot + r_rot * r_rot)*exp_scale;
-                k++;
-            }
-        }
-
-    len = k;
-    fastAtan2(Y, X, Ori, len, true);
-    magnitude(X, Y, Mag, len);
-    exp(W, W, len);
-
-    for( k = 0; k < len; k++ )
-    {
-        float rbin = RBin[k], cbin = CBin[k];
-        float obin = (Ori[k] - ori)*bins_per_rad;
-        float mag = Mag[k]*W[k];
-
-        int r0 = cvFloor( rbin );
-        int c0 = cvFloor( cbin );
-        int o0 = cvFloor( obin );
-        rbin -= r0;
-        cbin -= c0;
-        obin -= o0;
-
-        if( o0 < 0 )
-            o0 += n;
-        if( o0 >= n )
-            o0 -= n;
-
-        // histogram update using tri-linear interpolation
-        float v_r1 = mag*rbin, v_r0 = mag - v_r1;
-        float v_rc11 = v_r1*cbin, v_rc10 = v_r1 - v_rc11;
-        float v_rc01 = v_r0*cbin, v_rc00 = v_r0 - v_rc01;
-        float v_rco111 = v_rc11*obin, v_rco110 = v_rc11 - v_rco111;
-        float v_rco101 = v_rc10*obin, v_rco100 = v_rc10 - v_rco101;
-        float v_rco011 = v_rc01*obin, v_rco010 = v_rc01 - v_rco011;
-        float v_rco001 = v_rc00*obin, v_rco000 = v_rc00 - v_rco001;
-
-        int idx = ((r0+1)*(d+2) + c0+1)*(n+2) + o0;
-        hist[idx] += v_rco000;
-        hist[idx+1] += v_rco001;
-        hist[idx+(n+2)] += v_rco010;
-        hist[idx+(n+3)] += v_rco011;
-        hist[idx+(d+2)*(n+2)] += v_rco100;
-        hist[idx+(d+2)*(n+2)+1] += v_rco101;
-        hist[idx+(d+3)*(n+2)] += v_rco110;
-        hist[idx+(d+3)*(n+2)+1] += v_rco111;
-    }
-
-    // finalize histogram, since the orientation histograms are circular
-    for( i = 0; i < d; i++ )
-        for( j = 0; j < d; j++ )
-        {
-            int idx = ((i+1)*(d+2) + (j+1))*(n+2);
-            hist[idx] += hist[idx+n];
-            hist[idx+1] += hist[idx+n+1];
-            for( k = 0; k < n; k++ )
-                dst[(i*d + j)*n + k] = hist[idx+k];
-        }
-    // copy histogram to the descriptor,
-    // apply hysteresis thresholding
-    // and scale the result, so that it can be easily converted
-    // to byte array
-    float nrm2 = 0;
-    len = d*d*n;
-    for( k = 0; k < len; k++ )
-        nrm2 += dst[k]*dst[k];
-    float thr = std::sqrt(nrm2)*SIFT_DESCR_MAG_THR;
-    for( i = 0, nrm2 = 0; i < k; i++ )
-    {
-        float val = std::min(dst[i], thr);
-        dst[i] = val;
-        nrm2 += val*val;
-    }
-    nrm2 = SIFT_INT_DESCR_FCTR/std::max(std::sqrt(nrm2), FLT_EPSILON);
-
-#if 1
-    for( k = 0; k < len; k++ )
-    {
-        dst[k] = saturate_cast<uchar>(dst[k]*nrm2);
-    }
-#else
-    float nrm1 = 0;
-    for( k = 0; k < len; k++ )
-    {
-        dst[k] *= nrm2;
-        nrm1 += dst[k];
-    }
-    nrm1 = 1.f/std::max(nrm1, FLT_EPSILON);
-    for( k = 0; k < len; k++ )
-    {
-        dst[k] = std::sqrt(dst[k] * nrm1);//saturate_cast<uchar>(std::sqrt(dst[k] * nrm1)*SIFT_INT_DESCR_FCTR);
-    }
-#endif
-}
-
-static void calcDescriptors(const std::vector<Mat>& gpyr, const std::vector<KeyPoint>& keypoints,
-                            Mat& descriptors, int nOctaveLayers, int firstOctave )
-{
-    int d = SIFT_DESCR_WIDTH, n = SIFT_DESCR_HIST_BINS;
-
-    for( size_t i = 0; i < keypoints.size(); i++ )
-    {
-        KeyPoint kpt = keypoints[i];
-        int octave, layer;
-        float scale;
-        unpackOctave(kpt, octave, layer, scale);
-        CV_Assert(octave >= firstOctave && layer <= nOctaveLayers+2);
-        float size=kpt.size*scale;
-        Point2f ptf(kpt.pt.x*scale, kpt.pt.y*scale);
-        const Mat& img = gpyr[(octave - firstOctave)*(nOctaveLayers + 3) + layer];
-
-        float angle = 360.f - kpt.angle;
-        if(std::abs(angle - 360.f) < FLT_EPSILON)
-            angle = 0.f;
-        calcSIFTDescriptor(img, ptf, angle, size*0.5f, d, n, descriptors.ptr<float>((int)i));
-    }
-}
-
-//////////////////////////////////////////////////////////////////////////////////////////
-
-SIFT::SIFT( int _nfeatures, int _nOctaveLayers,
-           double _contrastThreshold, double _edgeThreshold, double _sigma )
-    : nfeatures(_nfeatures), nOctaveLayers(_nOctaveLayers),
-    contrastThreshold(_contrastThreshold), edgeThreshold(_edgeThreshold), sigma(_sigma)
-{
-}
-
-int SIFT::descriptorSize() const
-{
-    return SIFT_DESCR_WIDTH*SIFT_DESCR_WIDTH*SIFT_DESCR_HIST_BINS;
-}
-
-int SIFT::descriptorType() const
-{
-    return CV_32F;
-}
-
-int SIFT::defaultNorm() const
-{
-    return NORM_L2;
-}
-
-
-void SIFT::operator()(InputArray _image, InputArray _mask,
-                      std::vector<KeyPoint>& keypoints) const
-{
-    (*this)(_image, _mask, keypoints, noArray());
-}
-
-
-void SIFT::operator()(InputArray _image, InputArray _mask,
-                      std::vector<KeyPoint>& keypoints,
-                      OutputArray _descriptors,
-                      bool useProvidedKeypoints) const
-{
-    int firstOctave = -1, actualNOctaves = 0, actualNLayers = 0;
-    Mat image = _image.getMat(), mask = _mask.getMat();
-
-    if( image.empty() || image.depth() != CV_8U )
-        CV_Error( Error::StsBadArg, "image is empty or has incorrect depth (!=CV_8U)" );
-
-    if( !mask.empty() && mask.type() != CV_8UC1 )
-        CV_Error( Error::StsBadArg, "mask has incorrect type (!=CV_8UC1)" );
-
-    if( useProvidedKeypoints )
-    {
-        firstOctave = 0;
-        int maxOctave = INT_MIN;
-        for( size_t i = 0; i < keypoints.size(); i++ )
-        {
-            int octave, layer;
-            float scale;
-            unpackOctave(keypoints[i], octave, layer, scale);
-            firstOctave = std::min(firstOctave, octave);
-            maxOctave = std::max(maxOctave, octave);
-            actualNLayers = std::max(actualNLayers, layer-2);
-        }
-
-        firstOctave = std::min(firstOctave, 0);
-        CV_Assert( firstOctave >= -1 && actualNLayers <= nOctaveLayers );
-        actualNOctaves = maxOctave - firstOctave + 1;
-    }
-
-    Mat base = createInitialImage(image, firstOctave < 0, (float)sigma);
-    std::vector<Mat> gpyr, dogpyr;
-    int nOctaves = actualNOctaves > 0 ? actualNOctaves : cvRound(std::log( (double)std::min( base.cols, base.rows ) ) / std::log(2.) - 2) - firstOctave;
-
-    //double t, tf = getTickFrequency();
-    //t = (double)getTickCount();
-    buildGaussianPyramid(base, gpyr, nOctaves);
-    buildDoGPyramid(gpyr, dogpyr);
-
-    //t = (double)getTickCount() - t;
-    //printf("pyramid construction time: %g\n", t*1000./tf);
-
-    if( !useProvidedKeypoints )
-    {
-        //t = (double)getTickCount();
-        findScaleSpaceExtrema(gpyr, dogpyr, keypoints);
-        KeyPointsFilter::removeDuplicated( keypoints );
-
-        if( nfeatures > 0 )
-            KeyPointsFilter::retainBest(keypoints, nfeatures);
-        //t = (double)getTickCount() - t;
-        //printf("keypoint detection time: %g\n", t*1000./tf);
-
-        if( firstOctave < 0 )
-            for( size_t i = 0; i < keypoints.size(); i++ )
-            {
-                KeyPoint& kpt = keypoints[i];
-                float scale = 1.f/(float)(1 << -firstOctave);
-                kpt.octave = (kpt.octave & ~255) | ((kpt.octave + firstOctave) & 255);
-                kpt.pt *= scale;
-                kpt.size *= scale;
-            }
-
-        if( !mask.empty() )
-            KeyPointsFilter::runByPixelsMask( keypoints, mask );
-    }
-    else
-    {
-        // filter keypoints by mask
-        //KeyPointsFilter::runByPixelsMask( keypoints, mask );
-    }
-
-    if( _descriptors.needed() )
-    {
-        //t = (double)getTickCount();
-        int dsize = descriptorSize();
-        _descriptors.create((int)keypoints.size(), dsize, CV_32F);
-        Mat descriptors = _descriptors.getMat();
-
-        calcDescriptors(gpyr, keypoints, descriptors, nOctaveLayers, firstOctave);
-        //t = (double)getTickCount() - t;
-        //printf("descriptor extraction time: %g\n", t*1000./tf);
-    }
-}
-
-void SIFT::detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
-{
-    (*this)(image.getMat(), mask.getMat(), keypoints, noArray());
-}
-
-void SIFT::computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors) const
-{
-    (*this)(image, Mat(), keypoints, descriptors, true);
-}
-
-}
diff --git a/modules/nonfree/src/surf.cpp b/modules/nonfree/src/surf.cpp
deleted file mode 100644
index 05978e495e..0000000000
--- a/modules/nonfree/src/surf.cpp
+++ /dev/null
@@ -1,1024 +0,0 @@
-/* Original code has been submitted by Liu Liu. Here is the copyright.
-----------------------------------------------------------------------------------
- * An OpenCV Implementation of SURF
- * Further Information Refer to "SURF: Speed-Up Robust Feature"
- * Author: Liu Liu
- * liuliu.1987+opencv@gmail.com
- *
- * There are still serveral lacks for this experimental implementation:
- * 1.The interpolation of sub-pixel mentioned in article was not implemented yet;
- * 2.A comparision with original libSurf.so shows that the hessian detector is not a 100% match to their implementation;
- * 3.Due to above reasons, I recommanded the original one for study and reuse;
- *
- * However, the speed of this implementation is something comparable to original one.
- *
- * Copyright© 2008, Liu Liu All rights reserved.
- *
- * Redistribution and use in source and binary forms, with or
- * without modification, are permitted provided that the following
- * conditions are met:
- *  Redistributions of source code must retain the above
- *  copyright notice, this list of conditions and the following
- *  disclaimer.
- *  Redistributions in binary form must reproduce the above
- *  copyright notice, this list of conditions and the following
- *  disclaimer in the documentation and/or other materials
- *  provided with the distribution.
- *  The name of Contributor may not be used to endorse or
- *  promote products derived from this software without
- *  specific prior written permission.
- *
- * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
- * CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
- * INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
- * MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
- * DISCLAIMED. IN NO EVENT SHALL THE CONTRIBUTORS BE LIABLE FOR ANY
- * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
- * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
- * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA,
- * OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
- * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR
- * TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
- * OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY
- * OF SUCH DAMAGE.
- */
-
-/*
-   The following changes have been made, comparing to the original contribution:
-   1. A lot of small optimizations, less memory allocations, got rid of global buffers
-   2. Reversed order of cvGetQuadrangleSubPix and cvResize calls; probably less accurate, but much faster
-   3. The descriptor computing part (which is most expensive) is threaded using OpenMP
-   (subpixel-accurate keypoint localization and scale estimation are still TBD)
-*/
-
-/*
-KeyPoint position and scale interpolation has been implemented as described in
-the Brown and Lowe paper cited by the SURF paper.
-
-The sampling step along the x and y axes of the image for the determinant of the
-Hessian is now the same for each layer in an octave. While this increases the
-computation time, it ensures that a true 3x3x3 neighbourhood exists, with
-samples calculated at the same position in the layers above and below. This
-results in improved maxima detection and non-maxima suppression, and I think it
-is consistent with the description in the SURF paper.
-
-The wavelet size sampling interval has also been made consistent. The wavelet
-size at the first layer of the first octave is now 9 instead of 7. Along with
-regular position sampling steps, this makes location and scale interpolation
-easy. I think this is consistent with the SURF paper and original
-implementation.
-
-The scaling of the wavelet parameters has been fixed to ensure that the patterns
-are symmetric around the centre. Previously the truncation caused by integer
-division in the scaling ratio caused a bias towards the top left of the wavelet,
-resulting in inconsistent keypoint positions.
-
-The matrices for the determinant and trace of the Hessian are now reused in each
-octave.
-
-The extraction of the patch of pixels surrounding a keypoint used to build a
-descriptor has been simplified.
-
-KeyPoint descriptor normalisation has been changed from normalising each 4x4
-cell (resulting in a descriptor of magnitude 16) to normalising the entire
-descriptor to magnitude 1.
-
-The default number of octaves has been increased from 3 to 4 to match the
-original SURF binary default. The increase in computation time is minimal since
-the higher octaves are sampled sparsely.
-
-The default number of layers per octave has been reduced from 3 to 2, to prevent
-redundant calculation of similar sizes in consecutive octaves.  This decreases
-computation time. The number of features extracted may be less, however the
-additional features were mostly redundant.
-
-The radius of the circle of gradient samples used to assign an orientation has
-been increased from 4 to 6 to match the description in the SURF paper. This is
-now defined by ORI_RADIUS, and could be made into a parameter.
-
-The size of the sliding window used in orientation assignment has been reduced
-from 120 to 60 degrees to match the description in the SURF paper. This is now
-defined by ORI_WIN, and could be made into a parameter.
-
-Other options like  HAAR_SIZE0, HAAR_SIZE_INC, SAMPLE_STEP0, ORI_SEARCH_INC,
-ORI_SIGMA and DESC_SIGMA have been separated from the code and documented.
-These could also be made into parameters.
-
-Modifications by Ian Mahon
-
-*/
-#include "precomp.hpp"
-#include "surf.hpp"
-
-namespace cv
-{
-
-static const int   SURF_ORI_SEARCH_INC = 5;
-static const float SURF_ORI_SIGMA      = 2.5f;
-static const float SURF_DESC_SIGMA     = 3.3f;
-
-// Wavelet size at first layer of first octave.
-static const int SURF_HAAR_SIZE0 = 9;
-
-// Wavelet size increment between layers. This should be an even number,
-// such that the wavelet sizes in an octave are either all even or all odd.
-// This ensures that when looking for the neighbours of a sample, the layers
-// above and below are aligned correctly.
-static const int SURF_HAAR_SIZE_INC = 6;
-
-
-struct SurfHF
-{
-    int p0, p1, p2, p3;
-    float w;
-
-    SurfHF(): p0(0), p1(0), p2(0), p3(0), w(0) {}
-};
-
-inline float calcHaarPattern( const int* origin, const SurfHF* f, int n )
-{
-    double d = 0;
-    for( int k = 0; k < n; k++ )
-        d += (origin[f[k].p0] + origin[f[k].p3] - origin[f[k].p1] - origin[f[k].p2])*f[k].w;
-    return (float)d;
-}
-
-static void
-resizeHaarPattern( const int src[][5], SurfHF* dst, int n, int oldSize, int newSize, int widthStep )
-{
-    float ratio = (float)newSize/oldSize;
-    for( int k = 0; k < n; k++ )
-    {
-        int dx1 = cvRound( ratio*src[k][0] );
-        int dy1 = cvRound( ratio*src[k][1] );
-        int dx2 = cvRound( ratio*src[k][2] );
-        int dy2 = cvRound( ratio*src[k][3] );
-        dst[k].p0 = dy1*widthStep + dx1;
-        dst[k].p1 = dy2*widthStep + dx1;
-        dst[k].p2 = dy1*widthStep + dx2;
-        dst[k].p3 = dy2*widthStep + dx2;
-        dst[k].w = src[k][4]/((float)(dx2-dx1)*(dy2-dy1));
-    }
-}
-
-/*
- * Calculate the determinant and trace of the Hessian for a layer of the
- * scale-space pyramid
- */
-static void calcLayerDetAndTrace( const Mat& sum, int size, int sampleStep,
-                                  Mat& det, Mat& trace )
-{
-    const int NX=3, NY=3, NXY=4;
-    const int dx_s[NX][5] = { {0, 2, 3, 7, 1}, {3, 2, 6, 7, -2}, {6, 2, 9, 7, 1} };
-    const int dy_s[NY][5] = { {2, 0, 7, 3, 1}, {2, 3, 7, 6, -2}, {2, 6, 7, 9, 1} };
-    const int dxy_s[NXY][5] = { {1, 1, 4, 4, 1}, {5, 1, 8, 4, -1}, {1, 5, 4, 8, -1}, {5, 5, 8, 8, 1} };
-
-    SurfHF Dx[NX], Dy[NY], Dxy[NXY];
-
-    if( size > sum.rows-1 || size > sum.cols-1 )
-       return;
-
-    resizeHaarPattern( dx_s , Dx , NX , 9, size, sum.cols );
-    resizeHaarPattern( dy_s , Dy , NY , 9, size, sum.cols );
-    resizeHaarPattern( dxy_s, Dxy, NXY, 9, size, sum.cols );
-
-    /* The integral image 'sum' is one pixel bigger than the source image */
-    int samples_i = 1+(sum.rows-1-size)/sampleStep;
-    int samples_j = 1+(sum.cols-1-size)/sampleStep;
-
-    /* Ignore pixels where some of the kernel is outside the image */
-    int margin = (size/2)/sampleStep;
-
-    for( int i = 0; i < samples_i; i++ )
-    {
-        const int* sum_ptr = sum.ptr<int>(i*sampleStep);
-        float* det_ptr = &det.at<float>(i+margin, margin);
-        float* trace_ptr = &trace.at<float>(i+margin, margin);
-        for( int j = 0; j < samples_j; j++ )
-        {
-            float dx  = calcHaarPattern( sum_ptr, Dx , 3 );
-            float dy  = calcHaarPattern( sum_ptr, Dy , 3 );
-            float dxy = calcHaarPattern( sum_ptr, Dxy, 4 );
-            sum_ptr += sampleStep;
-            det_ptr[j] = dx*dy - 0.81f*dxy*dxy;
-            trace_ptr[j] = dx + dy;
-        }
-    }
-}
-
-
-/*
- * Maxima location interpolation as described in "Invariant Features from
- * Interest Point Groups" by Matthew Brown and David Lowe. This is performed by
- * fitting a 3D quadratic to a set of neighbouring samples.
- *
- * The gradient vector and Hessian matrix at the initial keypoint location are
- * approximated using central differences. The linear system Ax = b is then
- * solved, where A is the Hessian, b is the negative gradient, and x is the
- * offset of the interpolated maxima coordinates from the initial estimate.
- * This is equivalent to an iteration of Netwon's optimisation algorithm.
- *
- * N9 contains the samples in the 3x3x3 neighbourhood of the maxima
- * dx is the sampling step in x
- * dy is the sampling step in y
- * ds is the sampling step in size
- * point contains the keypoint coordinates and scale to be modified
- *
- * Return value is 1 if interpolation was successful, 0 on failure.
- */
-static int
-interpolateKeypoint( float N9[3][9], int dx, int dy, int ds, KeyPoint& kpt )
-{
-    Vec3f b(-(N9[1][5]-N9[1][3])/2,  // Negative 1st deriv with respect to x
-            -(N9[1][7]-N9[1][1])/2,  // Negative 1st deriv with respect to y
-            -(N9[2][4]-N9[0][4])/2); // Negative 1st deriv with respect to s
-
-    Matx33f A(
-        N9[1][3]-2*N9[1][4]+N9[1][5],            // 2nd deriv x, x
-        (N9[1][8]-N9[1][6]-N9[1][2]+N9[1][0])/4, // 2nd deriv x, y
-        (N9[2][5]-N9[2][3]-N9[0][5]+N9[0][3])/4, // 2nd deriv x, s
-        (N9[1][8]-N9[1][6]-N9[1][2]+N9[1][0])/4, // 2nd deriv x, y
-        N9[1][1]-2*N9[1][4]+N9[1][7],            // 2nd deriv y, y
-        (N9[2][7]-N9[2][1]-N9[0][7]+N9[0][1])/4, // 2nd deriv y, s
-        (N9[2][5]-N9[2][3]-N9[0][5]+N9[0][3])/4, // 2nd deriv x, s
-        (N9[2][7]-N9[2][1]-N9[0][7]+N9[0][1])/4, // 2nd deriv y, s
-        N9[0][4]-2*N9[1][4]+N9[2][4]);           // 2nd deriv s, s
-
-    Vec3f x = A.solve(b, DECOMP_LU);
-
-    bool ok = (x[0] != 0 || x[1] != 0 || x[2] != 0) &&
-        std::abs(x[0]) <= 1 && std::abs(x[1]) <= 1 && std::abs(x[2]) <= 1;
-
-    if( ok )
-    {
-        kpt.pt.x += x[0]*dx;
-        kpt.pt.y += x[1]*dy;
-        kpt.size = (float)cvRound( kpt.size + x[2]*ds );
-    }
-    return ok;
-}
-
-// Multi-threaded construction of the scale-space pyramid
-struct SURFBuildInvoker : ParallelLoopBody
-{
-    SURFBuildInvoker( const Mat& _sum, const std::vector<int>& _sizes,
-                      const std::vector<int>& _sampleSteps,
-                      std::vector<Mat>& _dets, std::vector<Mat>& _traces )
-    {
-        sum = &_sum;
-        sizes = &_sizes;
-        sampleSteps = &_sampleSteps;
-        dets = &_dets;
-        traces = &_traces;
-    }
-
-    void operator()(const Range& range) const
-    {
-        for( int i=range.start; i<range.end; i++ )
-            calcLayerDetAndTrace( *sum, (*sizes)[i], (*sampleSteps)[i], (*dets)[i], (*traces)[i] );
-    }
-
-    const Mat *sum;
-    const std::vector<int> *sizes;
-    const std::vector<int> *sampleSteps;
-    std::vector<Mat>* dets;
-    std::vector<Mat>* traces;
-};
-
-// Multi-threaded search of the scale-space pyramid for keypoints
-struct SURFFindInvoker : ParallelLoopBody
-{
-    SURFFindInvoker( const Mat& _sum, const Mat& _mask_sum,
-                     const std::vector<Mat>& _dets, const std::vector<Mat>& _traces,
-                     const std::vector<int>& _sizes, const std::vector<int>& _sampleSteps,
-                     const std::vector<int>& _middleIndices, std::vector<KeyPoint>& _keypoints,
-                     int _nOctaveLayers, float _hessianThreshold )
-    {
-        sum = &_sum;
-        mask_sum = &_mask_sum;
-        dets = &_dets;
-        traces = &_traces;
-        sizes = &_sizes;
-        sampleSteps = &_sampleSteps;
-        middleIndices = &_middleIndices;
-        keypoints = &_keypoints;
-        nOctaveLayers = _nOctaveLayers;
-        hessianThreshold = _hessianThreshold;
-    }
-
-    static void findMaximaInLayer( const Mat& sum, const Mat& mask_sum,
-                   const std::vector<Mat>& dets, const std::vector<Mat>& traces,
-                   const std::vector<int>& sizes, std::vector<KeyPoint>& keypoints,
-                   int octave, int layer, float hessianThreshold, int sampleStep );
-
-    void operator()(const Range& range) const
-    {
-        for( int i=range.start; i<range.end; i++ )
-        {
-            int layer = (*middleIndices)[i];
-            int octave = i / nOctaveLayers;
-            findMaximaInLayer( *sum, *mask_sum, *dets, *traces, *sizes,
-                               *keypoints, octave, layer, hessianThreshold,
-                               (*sampleSteps)[layer] );
-        }
-    }
-
-    const Mat *sum;
-    const Mat *mask_sum;
-    const std::vector<Mat>* dets;
-    const std::vector<Mat>* traces;
-    const std::vector<int>* sizes;
-    const std::vector<int>* sampleSteps;
-    const std::vector<int>* middleIndices;
-    std::vector<KeyPoint>* keypoints;
-    int nOctaveLayers;
-    float hessianThreshold;
-
-    static Mutex findMaximaInLayer_m;
-};
-
-Mutex SURFFindInvoker::findMaximaInLayer_m;
-
-
-/*
- * Find the maxima in the determinant of the Hessian in a layer of the
- * scale-space pyramid
- */
-void SURFFindInvoker::findMaximaInLayer( const Mat& sum, const Mat& mask_sum,
-                   const std::vector<Mat>& dets, const std::vector<Mat>& traces,
-                   const std::vector<int>& sizes, std::vector<KeyPoint>& keypoints,
-                   int octave, int layer, float hessianThreshold, int sampleStep )
-{
-    // Wavelet Data
-    const int NM=1;
-    const int dm[NM][5] = { {0, 0, 9, 9, 1} };
-    SurfHF Dm;
-
-    int size = sizes[layer];
-
-    // The integral image 'sum' is one pixel bigger than the source image
-    int layer_rows = (sum.rows-1)/sampleStep;
-    int layer_cols = (sum.cols-1)/sampleStep;
-
-    // Ignore pixels without a 3x3x3 neighbourhood in the layer above
-    int margin = (sizes[layer+1]/2)/sampleStep+1;
-
-    if( !mask_sum.empty() )
-       resizeHaarPattern( dm, &Dm, NM, 9, size, mask_sum.cols );
-
-    int step = (int)(dets[layer].step/dets[layer].elemSize());
-
-    for( int i = margin; i < layer_rows - margin; i++ )
-    {
-        const float* det_ptr = dets[layer].ptr<float>(i);
-        const float* trace_ptr = traces[layer].ptr<float>(i);
-        for( int j = margin; j < layer_cols-margin; j++ )
-        {
-            float val0 = det_ptr[j];
-            if( val0 > hessianThreshold )
-            {
-                /* Coordinates for the start of the wavelet in the sum image. There
-                   is some integer division involved, so don't try to simplify this
-                   (cancel out sampleStep) without checking the result is the same */
-                int sum_i = sampleStep*(i-(size/2)/sampleStep);
-                int sum_j = sampleStep*(j-(size/2)/sampleStep);
-
-                /* The 3x3x3 neighbouring samples around the maxima.
-                   The maxima is included at N9[1][4] */
-
-                const float *det1 = &dets[layer-1].at<float>(i, j);
-                const float *det2 = &dets[layer].at<float>(i, j);
-                const float *det3 = &dets[layer+1].at<float>(i, j);
-                float N9[3][9] = { { det1[-step-1], det1[-step], det1[-step+1],
-                                     det1[-1]  , det1[0] , det1[1],
-                                     det1[step-1] , det1[step] , det1[step+1]  },
-                                   { det2[-step-1], det2[-step], det2[-step+1],
-                                     det2[-1]  , det2[0] , det2[1],
-                                     det2[step-1] , det2[step] , det2[step+1]  },
-                                   { det3[-step-1], det3[-step], det3[-step+1],
-                                     det3[-1]  , det3[0] , det3[1],
-                                     det3[step-1] , det3[step] , det3[step+1]  } };
-
-                /* Check the mask - why not just check the mask at the center of the wavelet? */
-                if( !mask_sum.empty() )
-                {
-                    const int* mask_ptr = &mask_sum.at<int>(sum_i, sum_j);
-                    float mval = calcHaarPattern( mask_ptr, &Dm, 1 );
-                    if( mval < 0.5 )
-                        continue;
-                }
-
-                /* Non-maxima suppression. val0 is at N9[1][4]*/
-                if( val0 > N9[0][0] && val0 > N9[0][1] && val0 > N9[0][2] &&
-                    val0 > N9[0][3] && val0 > N9[0][4] && val0 > N9[0][5] &&
-                    val0 > N9[0][6] && val0 > N9[0][7] && val0 > N9[0][8] &&
-                    val0 > N9[1][0] && val0 > N9[1][1] && val0 > N9[1][2] &&
-                    val0 > N9[1][3]                    && val0 > N9[1][5] &&
-                    val0 > N9[1][6] && val0 > N9[1][7] && val0 > N9[1][8] &&
-                    val0 > N9[2][0] && val0 > N9[2][1] && val0 > N9[2][2] &&
-                    val0 > N9[2][3] && val0 > N9[2][4] && val0 > N9[2][5] &&
-                    val0 > N9[2][6] && val0 > N9[2][7] && val0 > N9[2][8] )
-                {
-                    /* Calculate the wavelet center coordinates for the maxima */
-                    float center_i = sum_i + (size-1)*0.5f;
-                    float center_j = sum_j + (size-1)*0.5f;
-
-                    KeyPoint kpt( center_j, center_i, (float)sizes[layer],
-                                  -1, val0, octave, (trace_ptr[j] > 0) - (trace_ptr[j] < 0) );
-
-                    /* Interpolate maxima location within the 3x3x3 neighbourhood  */
-                    int ds = size - sizes[layer-1];
-                    int interp_ok = interpolateKeypoint( N9, sampleStep, sampleStep, ds, kpt );
-
-                    /* Sometimes the interpolation step gives a negative size etc. */
-                    if( interp_ok  )
-                    {
-                        /*printf( "KeyPoint %f %f %d\n", point.pt.x, point.pt.y, point.size );*/
-                        cv::AutoLock lock(findMaximaInLayer_m);
-                        keypoints.push_back(kpt);
-                    }
-                }
-            }
-        }
-    }
-}
-
-struct KeypointGreater
-{
-    inline bool operator()(const KeyPoint& kp1, const KeyPoint& kp2) const
-    {
-        if(kp1.response > kp2.response) return true;
-        if(kp1.response < kp2.response) return false;
-        if(kp1.size > kp2.size) return true;
-        if(kp1.size < kp2.size) return false;
-        if(kp1.octave > kp2.octave) return true;
-        if(kp1.octave < kp2.octave) return false;
-        if(kp1.pt.y < kp2.pt.y) return false;
-        if(kp1.pt.y > kp2.pt.y) return true;
-        return kp1.pt.x < kp2.pt.x;
-    }
-};
-
-
-static void fastHessianDetector( const Mat& sum, const Mat& mask_sum, std::vector<KeyPoint>& keypoints,
-                                 int nOctaves, int nOctaveLayers, float hessianThreshold )
-{
-    /* Sampling step along image x and y axes at first octave. This is doubled
-       for each additional octave. WARNING: Increasing this improves speed,
-       however keypoint extraction becomes unreliable. */
-    const int SAMPLE_STEP0 = 1;
-
-    int nTotalLayers = (nOctaveLayers+2)*nOctaves;
-    int nMiddleLayers = nOctaveLayers*nOctaves;
-
-    std::vector<Mat> dets(nTotalLayers);
-    std::vector<Mat> traces(nTotalLayers);
-    std::vector<int> sizes(nTotalLayers);
-    std::vector<int> sampleSteps(nTotalLayers);
-    std::vector<int> middleIndices(nMiddleLayers);
-
-    keypoints.clear();
-
-    // Allocate space and calculate properties of each layer
-    int index = 0, middleIndex = 0, step = SAMPLE_STEP0;
-
-    for( int octave = 0; octave < nOctaves; octave++ )
-    {
-        for( int layer = 0; layer < nOctaveLayers+2; layer++ )
-        {
-            /* The integral image sum is one pixel bigger than the source image*/
-            dets[index].create( (sum.rows-1)/step, (sum.cols-1)/step, CV_32F );
-            traces[index].create( (sum.rows-1)/step, (sum.cols-1)/step, CV_32F );
-            sizes[index] = (SURF_HAAR_SIZE0 + SURF_HAAR_SIZE_INC*layer) << octave;
-            sampleSteps[index] = step;
-
-            if( 0 < layer && layer <= nOctaveLayers )
-                middleIndices[middleIndex++] = index;
-            index++;
-        }
-        step *= 2;
-    }
-
-    // Calculate hessian determinant and trace samples in each layer
-    parallel_for_( Range(0, nTotalLayers),
-                   SURFBuildInvoker(sum, sizes, sampleSteps, dets, traces) );
-
-    // Find maxima in the determinant of the hessian
-    parallel_for_( Range(0, nMiddleLayers),
-                   SURFFindInvoker(sum, mask_sum, dets, traces, sizes,
-                                   sampleSteps, middleIndices, keypoints,
-                                   nOctaveLayers, hessianThreshold) );
-
-    std::sort(keypoints.begin(), keypoints.end(), KeypointGreater());
-}
-
-
-struct SURFInvoker : ParallelLoopBody
-{
-    enum { ORI_RADIUS = 6, ORI_WIN = 60, PATCH_SZ = 20 };
-
-    SURFInvoker( const Mat& _img, const Mat& _sum,
-                 std::vector<KeyPoint>& _keypoints, Mat& _descriptors,
-                 bool _extended, bool _upright )
-    {
-        keypoints = &_keypoints;
-        descriptors = &_descriptors;
-        img = &_img;
-        sum = &_sum;
-        extended = _extended;
-        upright = _upright;
-
-        // Simple bound for number of grid points in circle of radius ORI_RADIUS
-        const int nOriSampleBound = (2*ORI_RADIUS+1)*(2*ORI_RADIUS+1);
-
-        // Allocate arrays
-        apt.resize(nOriSampleBound);
-        aptw.resize(nOriSampleBound);
-        DW.resize(PATCH_SZ*PATCH_SZ);
-
-        /* Coordinates and weights of samples used to calculate orientation */
-        Mat G_ori = getGaussianKernel( 2*ORI_RADIUS+1, SURF_ORI_SIGMA, CV_32F );
-        nOriSamples = 0;
-        for( int i = -ORI_RADIUS; i <= ORI_RADIUS; i++ )
-        {
-            for( int j = -ORI_RADIUS; j <= ORI_RADIUS; j++ )
-            {
-                if( i*i + j*j <= ORI_RADIUS*ORI_RADIUS )
-                {
-                    apt[nOriSamples] = Point(i,j);
-                    aptw[nOriSamples++] = G_ori.at<float>(i+ORI_RADIUS,0) * G_ori.at<float>(j+ORI_RADIUS,0);
-                }
-            }
-        }
-        CV_Assert( nOriSamples <= nOriSampleBound );
-
-        /* Gaussian used to weight descriptor samples */
-        Mat G_desc = getGaussianKernel( PATCH_SZ, SURF_DESC_SIGMA, CV_32F );
-        for( int i = 0; i < PATCH_SZ; i++ )
-        {
-            for( int j = 0; j < PATCH_SZ; j++ )
-                DW[i*PATCH_SZ+j] = G_desc.at<float>(i,0) * G_desc.at<float>(j,0);
-        }
-    }
-
-    void operator()(const Range& range) const
-    {
-        /* X and Y gradient wavelet data */
-        const int NX=2, NY=2;
-        const int dx_s[NX][5] = {{0, 0, 2, 4, -1}, {2, 0, 4, 4, 1}};
-        const int dy_s[NY][5] = {{0, 0, 4, 2, 1}, {0, 2, 4, 4, -1}};
-
-        // Optimisation is better using nOriSampleBound than nOriSamples for
-        // array lengths.  Maybe because it is a constant known at compile time
-        const int nOriSampleBound =(2*ORI_RADIUS+1)*(2*ORI_RADIUS+1);
-
-        float X[nOriSampleBound], Y[nOriSampleBound], angle[nOriSampleBound];
-        uchar PATCH[PATCH_SZ+1][PATCH_SZ+1];
-        float DX[PATCH_SZ][PATCH_SZ], DY[PATCH_SZ][PATCH_SZ];
-        Mat _patch(PATCH_SZ+1, PATCH_SZ+1, CV_8U, PATCH);
-
-        int dsize = extended ? 128 : 64;
-
-        int k, k1 = range.start, k2 = range.end;
-        float maxSize = 0;
-        for( k = k1; k < k2; k++ )
-        {
-            maxSize = std::max(maxSize, (*keypoints)[k].size);
-        }
-        int imaxSize = std::max(cvCeil((PATCH_SZ+1)*maxSize*1.2f/9.0f), 1);
-        cv::AutoBuffer<uchar> winbuf(imaxSize*imaxSize);
-
-        for( k = k1; k < k2; k++ )
-        {
-            int i, j, kk, nangle;
-            float* vec;
-            SurfHF dx_t[NX], dy_t[NY];
-            KeyPoint& kp = (*keypoints)[k];
-            float size = kp.size;
-            Point2f center = kp.pt;
-            /* The sampling intervals and wavelet sized for selecting an orientation
-             and building the keypoint descriptor are defined relative to 's' */
-            float s = size*1.2f/9.0f;
-            /* To find the dominant orientation, the gradients in x and y are
-             sampled in a circle of radius 6s using wavelets of size 4s.
-             We ensure the gradient wavelet size is even to ensure the
-             wavelet pattern is balanced and symmetric around its center */
-            int grad_wav_size = 2*cvRound( 2*s );
-            if( sum->rows < grad_wav_size || sum->cols < grad_wav_size )
-            {
-                /* when grad_wav_size is too big,
-                 * the sampling of gradient will be meaningless
-                 * mark keypoint for deletion. */
-                kp.size = -1;
-                continue;
-            }
-
-            float descriptor_dir = 360.f - 90.f;
-            if (upright == 0)
-            {
-                resizeHaarPattern( dx_s, dx_t, NX, 4, grad_wav_size, sum->cols );
-                resizeHaarPattern( dy_s, dy_t, NY, 4, grad_wav_size, sum->cols );
-                for( kk = 0, nangle = 0; kk < nOriSamples; kk++ )
-                {
-                    int x = cvRound( center.x + apt[kk].x*s - (float)(grad_wav_size-1)/2 );
-                    int y = cvRound( center.y + apt[kk].y*s - (float)(grad_wav_size-1)/2 );
-                    if( y < 0 || y >= sum->rows - grad_wav_size ||
-                        x < 0 || x >= sum->cols - grad_wav_size )
-                        continue;
-                    const int* ptr = &sum->at<int>(y, x);
-                    float vx = calcHaarPattern( ptr, dx_t, 2 );
-                    float vy = calcHaarPattern( ptr, dy_t, 2 );
-                    X[nangle] = vx*aptw[kk];
-                    Y[nangle] = vy*aptw[kk];
-                    nangle++;
-                }
-                if( nangle == 0 )
-                {
-                    // No gradient could be sampled because the keypoint is too
-                    // near too one or more of the sides of the image. As we
-                    // therefore cannot find a dominant direction, we skip this
-                    // keypoint and mark it for later deletion from the sequence.
-                    kp.size = -1;
-                    continue;
-                }
-
-                phase( Mat(1, nangle, CV_32F, X), Mat(1, nangle, CV_32F, Y), Mat(1, nangle, CV_32F, angle), true );
-
-                float bestx = 0, besty = 0, descriptor_mod = 0;
-                for( i = 0; i < 360; i += SURF_ORI_SEARCH_INC )
-                {
-                    float sumx = 0, sumy = 0, temp_mod;
-                    for( j = 0; j < nangle; j++ )
-                    {
-                        int d = std::abs(cvRound(angle[j]) - i);
-                        if( d < ORI_WIN/2 || d > 360-ORI_WIN/2 )
-                        {
-                            sumx += X[j];
-                            sumy += Y[j];
-                        }
-                    }
-                    temp_mod = sumx*sumx + sumy*sumy;
-                    if( temp_mod > descriptor_mod )
-                    {
-                        descriptor_mod = temp_mod;
-                        bestx = sumx;
-                        besty = sumy;
-                    }
-                }
-                descriptor_dir = fastAtan2( -besty, bestx );
-            }
-            kp.angle = descriptor_dir;
-            if( !descriptors || !descriptors->data )
-                continue;
-
-            /* Extract a window of pixels around the keypoint of size 20s */
-            int win_size = (int)((PATCH_SZ+1)*s);
-            CV_Assert( imaxSize >= win_size );
-            Mat win(win_size, win_size, CV_8U, winbuf);
-
-            if( !upright )
-            {
-                descriptor_dir *= (float)(CV_PI/180);
-                float sin_dir = -std::sin(descriptor_dir);
-                float cos_dir =  std::cos(descriptor_dir);
-
-                /* Subpixel interpolation version (slower). Subpixel not required since
-                the pixels will all get averaged when we scale down to 20 pixels */
-                /*
-                float w[] = { cos_dir, sin_dir, center.x,
-                -sin_dir, cos_dir , center.y };
-                CvMat W = cvMat(2, 3, CV_32F, w);
-                cvGetQuadrangleSubPix( img, &win, &W );
-                */
-
-                float win_offset = -(float)(win_size-1)/2;
-                float start_x = center.x + win_offset*cos_dir + win_offset*sin_dir;
-                float start_y = center.y - win_offset*sin_dir + win_offset*cos_dir;
-                uchar* WIN = win.data;
-#if 0
-                // Nearest neighbour version (faster)
-                for( i = 0; i < win_size; i++, start_x += sin_dir, start_y += cos_dir )
-                {
-                    float pixel_x = start_x;
-                    float pixel_y = start_y;
-                    for( j = 0; j < win_size; j++, pixel_x += cos_dir, pixel_y -= sin_dir )
-                    {
-                        int x = std::min(std::max(cvRound(pixel_x), 0), img->cols-1);
-                        int y = std::min(std::max(cvRound(pixel_y), 0), img->rows-1);
-                        WIN[i*win_size + j] = img->at<uchar>(y, x);
-                    }
-                }
-#else
-                int ncols1 = img->cols-1, nrows1 = img->rows-1;
-                size_t imgstep = img->step;
-                for( i = 0; i < win_size; i++, start_x += sin_dir, start_y += cos_dir )
-                {
-                    double pixel_x = start_x;
-                    double pixel_y = start_y;
-                    for( j = 0; j < win_size; j++, pixel_x += cos_dir, pixel_y -= sin_dir )
-                    {
-                        int ix = cvFloor(pixel_x), iy = cvFloor(pixel_y);
-                        if( (unsigned)ix < (unsigned)ncols1 &&
-                            (unsigned)iy < (unsigned)nrows1 )
-                        {
-                            float a = (float)(pixel_x - ix), b = (float)(pixel_y - iy);
-                            const uchar* imgptr = &img->at<uchar>(iy, ix);
-                            WIN[i*win_size + j] = (uchar)
-                                cvRound(imgptr[0]*(1.f - a)*(1.f - b) +
-                                        imgptr[1]*a*(1.f - b) +
-                                        imgptr[imgstep]*(1.f - a)*b +
-                                        imgptr[imgstep+1]*a*b);
-                        }
-                        else
-                        {
-                            int x = std::min(std::max(cvRound(pixel_x), 0), ncols1);
-                            int y = std::min(std::max(cvRound(pixel_y), 0), nrows1);
-                            WIN[i*win_size + j] = img->at<uchar>(y, x);
-                        }
-                    }
-                }
-#endif
-            }
-            else
-            {
-                // extract rect - slightly optimized version of the code above
-                // TODO: find faster code, as this is simply an extract rect operation,
-                //       e.g. by using cvGetSubRect, problem is the border processing
-                // descriptor_dir == 90 grad
-                // sin_dir == 1
-                // cos_dir == 0
-
-                float win_offset = -(float)(win_size-1)/2;
-                int start_x = cvRound(center.x + win_offset);
-                int start_y = cvRound(center.y - win_offset);
-                uchar* WIN = win.data;
-                for( i = 0; i < win_size; i++, start_x++ )
-                {
-                    int pixel_x = start_x;
-                    int pixel_y = start_y;
-                    for( j = 0; j < win_size; j++, pixel_y-- )
-                    {
-                        int x = MAX( pixel_x, 0 );
-                        int y = MAX( pixel_y, 0 );
-                        x = MIN( x, img->cols-1 );
-                        y = MIN( y, img->rows-1 );
-                        WIN[i*win_size + j] = img->at<uchar>(y, x);
-                    }
-                }
-            }
-            // Scale the window to size PATCH_SZ so each pixel's size is s. This
-            // makes calculating the gradients with wavelets of size 2s easy
-            resize(win, _patch, _patch.size(), 0, 0, INTER_AREA);
-
-            // Calculate gradients in x and y with wavelets of size 2s
-            for( i = 0; i < PATCH_SZ; i++ )
-                for( j = 0; j < PATCH_SZ; j++ )
-                {
-                    float dw = DW[i*PATCH_SZ + j];
-                    float vx = (PATCH[i][j+1] - PATCH[i][j] + PATCH[i+1][j+1] - PATCH[i+1][j])*dw;
-                    float vy = (PATCH[i+1][j] - PATCH[i][j] + PATCH[i+1][j+1] - PATCH[i][j+1])*dw;
-                    DX[i][j] = vx;
-                    DY[i][j] = vy;
-                }
-
-            // Construct the descriptor
-            vec = descriptors->ptr<float>(k);
-            for( kk = 0; kk < dsize; kk++ )
-                vec[kk] = 0;
-            double square_mag = 0;
-            if( extended )
-            {
-                // 128-bin descriptor
-                for( i = 0; i < 4; i++ )
-                    for( j = 0; j < 4; j++ )
-                    {
-                        for(int y = i*5; y < i*5+5; y++ )
-                        {
-                            for(int x = j*5; x < j*5+5; x++ )
-                            {
-                                float tx = DX[y][x], ty = DY[y][x];
-                                if( ty >= 0 )
-                                {
-                                    vec[0] += tx;
-                                    vec[1] += (float)fabs(tx);
-                                } else {
-                                    vec[2] += tx;
-                                    vec[3] += (float)fabs(tx);
-                                }
-                                if ( tx >= 0 )
-                                {
-                                    vec[4] += ty;
-                                    vec[5] += (float)fabs(ty);
-                                } else {
-                                    vec[6] += ty;
-                                    vec[7] += (float)fabs(ty);
-                                }
-                            }
-                        }
-                        for( kk = 0; kk < 8; kk++ )
-                            square_mag += vec[kk]*vec[kk];
-                        vec += 8;
-                    }
-            }
-            else
-            {
-                // 64-bin descriptor
-                for( i = 0; i < 4; i++ )
-                    for( j = 0; j < 4; j++ )
-                    {
-                        for(int y = i*5; y < i*5+5; y++ )
-                        {
-                            for(int x = j*5; x < j*5+5; x++ )
-                            {
-                                float tx = DX[y][x], ty = DY[y][x];
-                                vec[0] += tx; vec[1] += ty;
-                                vec[2] += (float)fabs(tx); vec[3] += (float)fabs(ty);
-                            }
-                        }
-                        for( kk = 0; kk < 4; kk++ )
-                            square_mag += vec[kk]*vec[kk];
-                        vec+=4;
-                    }
-            }
-
-            // unit vector is essential for contrast invariance
-            vec = descriptors->ptr<float>(k);
-            float scale = (float)(1./(std::sqrt(square_mag) + DBL_EPSILON));
-            for( kk = 0; kk < dsize; kk++ )
-                vec[kk] *= scale;
-        }
-    }
-
-    // Parameters
-    const Mat* img;
-    const Mat* sum;
-    std::vector<KeyPoint>* keypoints;
-    Mat* descriptors;
-    bool extended;
-    bool upright;
-
-    // Pre-calculated values
-    int nOriSamples;
-    std::vector<Point> apt;
-    std::vector<float> aptw;
-    std::vector<float> DW;
-};
-
-
-SURF::SURF()
-{
-    hessianThreshold = 100;
-    extended = false;
-    upright = false;
-    nOctaves = 4;
-    nOctaveLayers = 3;
-}
-
-SURF::SURF(double _threshold, int _nOctaves, int _nOctaveLayers, bool _extended, bool _upright)
-{
-    hessianThreshold = _threshold;
-    extended = _extended;
-    upright = _upright;
-    nOctaves = _nOctaves;
-    nOctaveLayers = _nOctaveLayers;
-}
-
-int SURF::descriptorSize() const { return extended ? 128 : 64; }
-int SURF::descriptorType() const { return CV_32F; }
-int SURF::defaultNorm() const { return NORM_L2; }
-
-void SURF::operator()(InputArray imgarg, InputArray maskarg,
-                      CV_OUT std::vector<KeyPoint>& keypoints) const
-{
-    (*this)(imgarg, maskarg, keypoints, noArray(), false);
-}
-
-void SURF::operator()(InputArray _img, InputArray _mask,
-                      CV_OUT std::vector<KeyPoint>& keypoints,
-                      OutputArray _descriptors,
-                      bool useProvidedKeypoints) const
-{
-    int imgtype = _img.type(), imgcn = CV_MAT_CN(imgtype);
-    bool doDescriptors = _descriptors.needed();
-
-    CV_Assert(!_img.empty() && CV_MAT_DEPTH(imgtype) == CV_8U && (imgcn == 1 || imgcn == 3 || imgcn == 4));
-    CV_Assert(_descriptors.needed() || !useProvidedKeypoints);
-
-    if( ocl::useOpenCL() )
-    {
-        SURF_OCL ocl_surf;
-        UMat gpu_kpt;
-        bool ok = ocl_surf.init(this);
-
-        if( ok )
-        {
-            if( !_descriptors.needed() )
-            {
-                ok = ocl_surf.detect(_img, _mask, gpu_kpt);
-            }
-            else
-            {
-                if(useProvidedKeypoints)
-                    ocl_surf.uploadKeypoints(keypoints, gpu_kpt);
-                ok = ocl_surf.detectAndCompute(_img, _mask, gpu_kpt, _descriptors, useProvidedKeypoints);
-            }
-        }
-        if( ok )
-        {
-            if(!useProvidedKeypoints)
-                ocl_surf.downloadKeypoints(gpu_kpt, keypoints);
-            return;
-        }
-    }
-
-    Mat img = _img.getMat(), mask = _mask.getMat(), mask1, sum, msum;
-
-    if( imgcn > 1 )
-        cvtColor(img, img, COLOR_BGR2GRAY);
-
-    CV_Assert(mask.empty() || (mask.type() == CV_8U && mask.size() == img.size()));
-    CV_Assert(hessianThreshold >= 0);
-    CV_Assert(nOctaves > 0);
-    CV_Assert(nOctaveLayers > 0);
-
-    integral(img, sum, CV_32S);
-
-    // Compute keypoints only if we are not asked for evaluating the descriptors are some given locations:
-    if( !useProvidedKeypoints )
-    {
-        if( !mask.empty() )
-        {
-            cv::min(mask, 1, mask1);
-            integral(mask1, msum, CV_32S);
-        }
-        fastHessianDetector( sum, msum, keypoints, nOctaves, nOctaveLayers, (float)hessianThreshold );
-    }
-
-    int i, j, N = (int)keypoints.size();
-    if( N > 0 )
-    {
-        Mat descriptors;
-        bool _1d = false;
-        int dcols = extended ? 128 : 64;
-        size_t dsize = dcols*sizeof(float);
-
-        if( doDescriptors )
-        {
-            _1d = _descriptors.kind() == _InputArray::STD_VECTOR && _descriptors.type() == CV_32F;
-            if( _1d )
-            {
-                _descriptors.create(N*dcols, 1, CV_32F);
-                descriptors = _descriptors.getMat().reshape(1, N);
-            }
-            else
-            {
-                _descriptors.create(N, dcols, CV_32F);
-                descriptors = _descriptors.getMat();
-            }
-        }
-
-        // we call SURFInvoker in any case, even if we do not need descriptors,
-        // since it computes orientation of each feature.
-        parallel_for_(Range(0, N), SURFInvoker(img, sum, keypoints, descriptors, extended, upright) );
-
-        // remove keypoints that were marked for deletion
-        for( i = j = 0; i < N; i++ )
-        {
-            if( keypoints[i].size > 0 )
-            {
-                if( i > j )
-                {
-                    keypoints[j] = keypoints[i];
-                    if( doDescriptors )
-                        memcpy( descriptors.ptr(j), descriptors.ptr(i), dsize);
-                }
-                j++;
-            }
-        }
-        if( N > j )
-        {
-            N = j;
-            keypoints.resize(N);
-            if( doDescriptors )
-            {
-                Mat d = descriptors.rowRange(0, N);
-                if( _1d )
-                    d = d.reshape(1, N*dcols);
-                d.copyTo(_descriptors);
-            }
-        }
-    }
-}
-
-
-void SURF::detectImpl( InputArray image, std::vector<KeyPoint>& keypoints, InputArray mask) const
-{
-    (*this)(image.getMat(), mask.getMat(), keypoints, noArray(), false);
-}
-
-void SURF::computeImpl( InputArray image, std::vector<KeyPoint>& keypoints, OutputArray descriptors) const
-{
-    (*this)(image, Mat(), keypoints, descriptors, true);
-}
-
-}
diff --git a/modules/nonfree/src/surf.cuda.cpp b/modules/nonfree/src/surf.cuda.cpp
deleted file mode 100644
index 461ba0f7ef..0000000000
--- a/modules/nonfree/src/surf.cuda.cpp
+++ /dev/null
@@ -1,432 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "precomp.hpp"
-
-using namespace cv;
-using namespace cv::cuda;
-
-#if !defined (HAVE_CUDA) || !defined (HAVE_OPENCV_CUDAARITHM)
-
-cv::cuda::SURF_CUDA::SURF_CUDA() { throw_no_cuda(); }
-cv::cuda::SURF_CUDA::SURF_CUDA(double, int, int, bool, float, bool) { throw_no_cuda(); }
-int cv::cuda::SURF_CUDA::descriptorSize() const { throw_no_cuda(); return 0;}
-void cv::cuda::SURF_CUDA::uploadKeypoints(const std::vector<KeyPoint>&, GpuMat&) { throw_no_cuda(); }
-void cv::cuda::SURF_CUDA::downloadKeypoints(const GpuMat&, std::vector<KeyPoint>&) { throw_no_cuda(); }
-void cv::cuda::SURF_CUDA::downloadDescriptors(const GpuMat&, std::vector<float>&) { throw_no_cuda(); }
-void cv::cuda::SURF_CUDA::operator()(const GpuMat&, const GpuMat&, GpuMat&) { throw_no_cuda(); }
-void cv::cuda::SURF_CUDA::operator()(const GpuMat&, const GpuMat&, GpuMat&, GpuMat&, bool) { throw_no_cuda(); }
-void cv::cuda::SURF_CUDA::operator()(const GpuMat&, const GpuMat&, std::vector<KeyPoint>&) { throw_no_cuda(); }
-void cv::cuda::SURF_CUDA::operator()(const GpuMat&, const GpuMat&, std::vector<KeyPoint>&, GpuMat&, bool) { throw_no_cuda(); }
-void cv::cuda::SURF_CUDA::operator()(const GpuMat&, const GpuMat&, std::vector<KeyPoint>&, std::vector<float>&, bool) { throw_no_cuda(); }
-void cv::cuda::SURF_CUDA::releaseMemory() { throw_no_cuda(); }
-
-#else // !defined (HAVE_CUDA)
-
-namespace cv { namespace cuda { namespace device
-{
-    namespace surf
-    {
-        void loadGlobalConstants(int maxCandidates, int maxFeatures, int img_rows, int img_cols, int nOctaveLayers, float hessianThreshold);
-        void loadOctaveConstants(int octave, int layer_rows, int layer_cols);
-
-        void bindImgTex(PtrStepSzb img);
-        size_t bindSumTex(PtrStepSz<unsigned int> sum);
-        size_t bindMaskSumTex(PtrStepSz<unsigned int> maskSum);
-
-        void icvCalcLayerDetAndTrace_gpu(const PtrStepf& det, const PtrStepf& trace, int img_rows, int img_cols,
-            int octave, int nOctaveLayer);
-
-        void icvFindMaximaInLayer_gpu(const PtrStepf& det, const PtrStepf& trace, int4* maxPosBuffer, unsigned int* maxCounter,
-            int img_rows, int img_cols, int octave, bool use_mask, int nLayers);
-
-        void icvInterpolateKeypoint_gpu(const PtrStepf& det, const int4* maxPosBuffer, unsigned int maxCounter,
-            float* featureX, float* featureY, int* featureLaplacian, int* featureOctave, float* featureSize, float* featureHessian,
-            unsigned int* featureCounter);
-
-        void icvCalcOrientation_gpu(const float* featureX, const float* featureY, const float* featureSize, float* featureDir, int nFeatures);
-
-        void compute_descriptors_gpu(PtrStepSz<float4> descriptors, const float* featureX, const float* featureY, const float* featureSize, const float* featureDir, int nFeatures);
-    }
-}}}
-
-using namespace ::cv::cuda::device::surf;
-
-namespace
-{
-    Mutex mtx;
-
-    int calcSize(int octave, int layer)
-    {
-        /* Wavelet size at first layer of first octave. */
-        const int HAAR_SIZE0 = 9;
-
-        /* Wavelet size increment between layers. This should be an even number,
-         such that the wavelet sizes in an octave are either all even or all odd.
-         This ensures that when looking for the neighbours of a sample, the layers
-
-         above and below are aligned correctly. */
-        const int HAAR_SIZE_INC = 6;
-
-        return (HAAR_SIZE0 + HAAR_SIZE_INC * layer) << octave;
-    }
-
-    class SURF_CUDA_Invoker
-    {
-    public:
-        SURF_CUDA_Invoker(SURF_CUDA& surf, const GpuMat& img, const GpuMat& mask) :
-            surf_(surf),
-            img_cols(img.cols), img_rows(img.rows),
-            use_mask(!mask.empty())
-        {
-            CV_Assert(!img.empty() && img.type() == CV_8UC1);
-            CV_Assert(mask.empty() || (mask.size() == img.size() && mask.type() == CV_8UC1));
-            CV_Assert(surf_.nOctaves > 0 && surf_.nOctaveLayers > 0);
-
-            const int min_size = calcSize(surf_.nOctaves - 1, 0);
-            CV_Assert(img_rows - min_size >= 0);
-            CV_Assert(img_cols - min_size >= 0);
-
-            const int layer_rows = img_rows >> (surf_.nOctaves - 1);
-            const int layer_cols = img_cols >> (surf_.nOctaves - 1);
-            const int min_margin = ((calcSize((surf_.nOctaves - 1), 2) >> 1) >> (surf_.nOctaves - 1)) + 1;
-            CV_Assert(layer_rows - 2 * min_margin > 0);
-            CV_Assert(layer_cols - 2 * min_margin > 0);
-
-            maxFeatures = std::min(static_cast<int>(img.size().area() * surf.keypointsRatio), 65535);
-            maxCandidates = std::min(static_cast<int>(1.5 * maxFeatures), 65535);
-
-            CV_Assert(maxFeatures > 0);
-
-            counters.create(1, surf_.nOctaves + 1, CV_32SC1);
-            counters.setTo(Scalar::all(0));
-
-            loadGlobalConstants(maxCandidates, maxFeatures, img_rows, img_cols, surf_.nOctaveLayers, static_cast<float>(surf_.hessianThreshold));
-
-            bindImgTex(img);
-
-            cuda::integral(img, surf_.sum, surf_.intBuffer);
-            sumOffset = bindSumTex(surf_.sum);
-
-            if (use_mask)
-            {
-                cuda::min(mask, 1.0, surf_.mask1);
-                cuda::integral(surf_.mask1, surf_.maskSum, surf_.intBuffer);
-                maskOffset = bindMaskSumTex(surf_.maskSum);
-            }
-        }
-
-        void detectKeypoints(GpuMat& keypoints)
-        {
-            ensureSizeIsEnough(img_rows * (surf_.nOctaveLayers + 2), img_cols, CV_32FC1, surf_.det);
-            ensureSizeIsEnough(img_rows * (surf_.nOctaveLayers + 2), img_cols, CV_32FC1, surf_.trace);
-
-            ensureSizeIsEnough(1, maxCandidates, CV_32SC4, surf_.maxPosBuffer);
-            ensureSizeIsEnough(SURF_CUDA::ROWS_COUNT, maxFeatures, CV_32FC1, keypoints);
-            keypoints.setTo(Scalar::all(0));
-
-            for (int octave = 0; octave < surf_.nOctaves; ++octave)
-            {
-                const int layer_rows = img_rows >> octave;
-                const int layer_cols = img_cols >> octave;
-                loadOctaveConstants(octave, layer_rows, layer_cols);
-
-                icvCalcLayerDetAndTrace_gpu(surf_.det, surf_.trace, img_rows, img_cols, octave, surf_.nOctaveLayers);
-
-                icvFindMaximaInLayer_gpu(surf_.det, surf_.trace, surf_.maxPosBuffer.ptr<int4>(), counters.ptr<unsigned int>() + 1 + octave,
-                    img_rows, img_cols, octave, use_mask, surf_.nOctaveLayers);
-
-                unsigned int maxCounter;
-                cudaSafeCall( cudaMemcpy(&maxCounter, counters.ptr<unsigned int>() + 1 + octave, sizeof(unsigned int), cudaMemcpyDeviceToHost) );
-                maxCounter = std::min(maxCounter, static_cast<unsigned int>(maxCandidates));
-
-                if (maxCounter > 0)
-                {
-                    icvInterpolateKeypoint_gpu(surf_.det, surf_.maxPosBuffer.ptr<int4>(), maxCounter,
-                        keypoints.ptr<float>(SURF_CUDA::X_ROW), keypoints.ptr<float>(SURF_CUDA::Y_ROW),
-                        keypoints.ptr<int>(SURF_CUDA::LAPLACIAN_ROW), keypoints.ptr<int>(SURF_CUDA::OCTAVE_ROW),
-                        keypoints.ptr<float>(SURF_CUDA::SIZE_ROW), keypoints.ptr<float>(SURF_CUDA::HESSIAN_ROW),
-                        counters.ptr<unsigned int>());
-                }
-            }
-            unsigned int featureCounter;
-            cudaSafeCall( cudaMemcpy(&featureCounter, counters.ptr<unsigned int>(), sizeof(unsigned int), cudaMemcpyDeviceToHost) );
-            featureCounter = std::min(featureCounter, static_cast<unsigned int>(maxFeatures));
-
-            keypoints.cols = featureCounter;
-
-            if (surf_.upright)
-                keypoints.row(SURF_CUDA::ANGLE_ROW).setTo(Scalar::all(360.0 - 90.0));
-            else
-                findOrientation(keypoints);
-        }
-
-        void findOrientation(GpuMat& keypoints)
-        {
-            const int nFeatures = keypoints.cols;
-            if (nFeatures > 0)
-            {
-                icvCalcOrientation_gpu(keypoints.ptr<float>(SURF_CUDA::X_ROW), keypoints.ptr<float>(SURF_CUDA::Y_ROW),
-                    keypoints.ptr<float>(SURF_CUDA::SIZE_ROW), keypoints.ptr<float>(SURF_CUDA::ANGLE_ROW), nFeatures);
-            }
-        }
-
-        void computeDescriptors(const GpuMat& keypoints, GpuMat& descriptors, int descriptorSize)
-        {
-            const int nFeatures = keypoints.cols;
-            if (nFeatures > 0)
-            {
-                ensureSizeIsEnough(nFeatures, descriptorSize, CV_32F, descriptors);
-                compute_descriptors_gpu(descriptors, keypoints.ptr<float>(SURF_CUDA::X_ROW), keypoints.ptr<float>(SURF_CUDA::Y_ROW),
-                    keypoints.ptr<float>(SURF_CUDA::SIZE_ROW), keypoints.ptr<float>(SURF_CUDA::ANGLE_ROW), nFeatures);
-            }
-        }
-
-    private:
-        SURF_CUDA_Invoker(const SURF_CUDA_Invoker&);
-        SURF_CUDA_Invoker& operator =(const SURF_CUDA_Invoker&);
-
-        SURF_CUDA& surf_;
-
-        int img_cols, img_rows;
-
-        bool use_mask;
-
-        int maxCandidates;
-        int maxFeatures;
-
-        size_t maskOffset;
-        size_t sumOffset;
-
-        GpuMat counters;
-    };
-}
-
-cv::cuda::SURF_CUDA::SURF_CUDA()
-{
-    hessianThreshold = 100;
-    extended = true;
-    nOctaves = 4;
-    nOctaveLayers = 2;
-    keypointsRatio = 0.01f;
-    upright = false;
-}
-
-cv::cuda::SURF_CUDA::SURF_CUDA(double _threshold, int _nOctaves, int _nOctaveLayers, bool _extended, float _keypointsRatio, bool _upright)
-{
-    hessianThreshold = _threshold;
-    extended = _extended;
-    nOctaves = _nOctaves;
-    nOctaveLayers = _nOctaveLayers;
-    keypointsRatio = _keypointsRatio;
-    upright = _upright;
-}
-
-int cv::cuda::SURF_CUDA::descriptorSize() const
-{
-    return extended ? 128 : 64;
-}
-
-int cv::cuda::SURF_CUDA::defaultNorm() const
-{
-    return NORM_L2;
-}
-
-void cv::cuda::SURF_CUDA::uploadKeypoints(const std::vector<KeyPoint>& keypoints, GpuMat& keypointsGPU)
-{
-    if (keypoints.empty())
-        keypointsGPU.release();
-    else
-    {
-        Mat keypointsCPU(SURF_CUDA::ROWS_COUNT, static_cast<int>(keypoints.size()), CV_32FC1);
-
-        float* kp_x = keypointsCPU.ptr<float>(SURF_CUDA::X_ROW);
-        float* kp_y = keypointsCPU.ptr<float>(SURF_CUDA::Y_ROW);
-        int* kp_laplacian = keypointsCPU.ptr<int>(SURF_CUDA::LAPLACIAN_ROW);
-        int* kp_octave = keypointsCPU.ptr<int>(SURF_CUDA::OCTAVE_ROW);
-        float* kp_size = keypointsCPU.ptr<float>(SURF_CUDA::SIZE_ROW);
-        float* kp_dir = keypointsCPU.ptr<float>(SURF_CUDA::ANGLE_ROW);
-        float* kp_hessian = keypointsCPU.ptr<float>(SURF_CUDA::HESSIAN_ROW);
-
-        for (size_t i = 0, size = keypoints.size(); i < size; ++i)
-        {
-            const KeyPoint& kp = keypoints[i];
-            kp_x[i] = kp.pt.x;
-            kp_y[i] = kp.pt.y;
-            kp_octave[i] = kp.octave;
-            kp_size[i] = kp.size;
-            kp_dir[i] = kp.angle;
-            kp_hessian[i] = kp.response;
-            kp_laplacian[i] = 1;
-        }
-
-        keypointsGPU.upload(keypointsCPU);
-    }
-}
-
-void cv::cuda::SURF_CUDA::downloadKeypoints(const GpuMat& keypointsGPU, std::vector<KeyPoint>& keypoints)
-{
-    const int nFeatures = keypointsGPU.cols;
-
-    if (nFeatures == 0)
-        keypoints.clear();
-    else
-    {
-        CV_Assert(keypointsGPU.type() == CV_32FC1 && keypointsGPU.rows == ROWS_COUNT);
-
-        Mat keypointsCPU(keypointsGPU);
-
-        keypoints.resize(nFeatures);
-
-        float* kp_x = keypointsCPU.ptr<float>(SURF_CUDA::X_ROW);
-        float* kp_y = keypointsCPU.ptr<float>(SURF_CUDA::Y_ROW);
-        int* kp_laplacian = keypointsCPU.ptr<int>(SURF_CUDA::LAPLACIAN_ROW);
-        int* kp_octave = keypointsCPU.ptr<int>(SURF_CUDA::OCTAVE_ROW);
-        float* kp_size = keypointsCPU.ptr<float>(SURF_CUDA::SIZE_ROW);
-        float* kp_dir = keypointsCPU.ptr<float>(SURF_CUDA::ANGLE_ROW);
-        float* kp_hessian = keypointsCPU.ptr<float>(SURF_CUDA::HESSIAN_ROW);
-
-        for (int i = 0; i < nFeatures; ++i)
-        {
-            KeyPoint& kp = keypoints[i];
-            kp.pt.x = kp_x[i];
-            kp.pt.y = kp_y[i];
-            kp.class_id = kp_laplacian[i];
-            kp.octave = kp_octave[i];
-            kp.size = kp_size[i];
-            kp.angle = kp_dir[i];
-            kp.response = kp_hessian[i];
-        }
-    }
-}
-
-void cv::cuda::SURF_CUDA::downloadDescriptors(const GpuMat& descriptorsGPU, std::vector<float>& descriptors)
-{
-    if (descriptorsGPU.empty())
-        descriptors.clear();
-    else
-    {
-        CV_Assert(descriptorsGPU.type() == CV_32F);
-
-        descriptors.resize(descriptorsGPU.rows * descriptorsGPU.cols);
-        Mat descriptorsCPU(descriptorsGPU.size(), CV_32F, &descriptors[0]);
-        descriptorsGPU.download(descriptorsCPU);
-    }
-}
-
-void cv::cuda::SURF_CUDA::operator()(const GpuMat& img, const GpuMat& mask, GpuMat& keypoints)
-{
-    AutoLock lock(mtx);
-    if (!img.empty())
-    {
-        SURF_CUDA_Invoker surf(*this, img, mask);
-
-        surf.detectKeypoints(keypoints);
-    }
-}
-
-void cv::cuda::SURF_CUDA::operator()(const GpuMat& img, const GpuMat& mask, GpuMat& keypoints, GpuMat& descriptors,
-                                   bool useProvidedKeypoints)
-{
-    AutoLock lock(mtx);
-    if (!img.empty())
-    {
-        SURF_CUDA_Invoker surf(*this, img, mask);
-
-        if (!useProvidedKeypoints)
-            surf.detectKeypoints(keypoints);
-        else if (!upright)
-        {
-            surf.findOrientation(keypoints);
-        }
-
-        surf.computeDescriptors(keypoints, descriptors, descriptorSize());
-    }
-}
-
-void cv::cuda::SURF_CUDA::operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints)
-{
-    AutoLock lock(mtx);
-    GpuMat keypointsGPU;
-
-    (*this)(img, mask, keypointsGPU);
-
-    downloadKeypoints(keypointsGPU, keypoints);
-}
-
-void cv::cuda::SURF_CUDA::operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints,
-    GpuMat& descriptors, bool useProvidedKeypoints)
-{
-    AutoLock lock(mtx);
-    GpuMat keypointsGPU;
-
-    if (useProvidedKeypoints)
-        uploadKeypoints(keypoints, keypointsGPU);
-
-    (*this)(img, mask, keypointsGPU, descriptors, useProvidedKeypoints);
-
-    downloadKeypoints(keypointsGPU, keypoints);
-}
-
-void cv::cuda::SURF_CUDA::operator()(const GpuMat& img, const GpuMat& mask, std::vector<KeyPoint>& keypoints,
-    std::vector<float>& descriptors, bool useProvidedKeypoints)
-{
-    AutoLock lock(mtx);
-    GpuMat descriptorsGPU;
-
-    (*this)(img, mask, keypoints, descriptorsGPU, useProvidedKeypoints);
-
-    downloadDescriptors(descriptorsGPU, descriptors);
-}
-
-void cv::cuda::SURF_CUDA::releaseMemory()
-{
-    sum.release();
-    mask1.release();
-    maskSum.release();
-    intBuffer.release();
-    det.release();
-    trace.release();
-    maxPosBuffer.release();
-}
-
-#endif // !defined (HAVE_CUDA)
diff --git a/modules/nonfree/src/surf.hpp b/modules/nonfree/src/surf.hpp
deleted file mode 100644
index ee56fb66c1..0000000000
--- a/modules/nonfree/src/surf.hpp
+++ /dev/null
@@ -1,118 +0,0 @@
-///////////// see LICENSE.txt in the OpenCV root directory //////////////
-
-#ifndef __OPENCV_NONFREE_SURF_HPP__
-#define __OPENCV_NONFREE_SURF_HPP__
-
-namespace cv
-{
-//! Speeded up robust features, port from CUDA module.
-////////////////////////////////// SURF //////////////////////////////////////////
-
-class SURF_OCL
-{
-public:
-    enum KeypointLayout
-    {
-        X_ROW = 0,
-        Y_ROW,
-        LAPLACIAN_ROW,
-        OCTAVE_ROW,
-        SIZE_ROW,
-        ANGLE_ROW,
-        HESSIAN_ROW,
-        ROWS_COUNT
-    };
-
-    //! the full constructor taking all the necessary parameters
-    SURF_OCL();
-
-    bool init(const SURF* params);
-
-    //! returns the descriptor size in float's (64 or 128)
-    int descriptorSize() const { return params->extended ? 128 : 64; }
-
-    void uploadKeypoints(const std::vector<KeyPoint> &keypoints, UMat &keypointsGPU);
-    void downloadKeypoints(const UMat &keypointsGPU, std::vector<KeyPoint> &keypoints);
-
-    //! finds the keypoints using fast hessian detector used in SURF
-    //! supports CV_8UC1 images
-    //! keypoints will have nFeature cols and 6 rows
-    //! keypoints.ptr<float>(X_ROW)[i] will contain x coordinate of i'th feature
-    //! keypoints.ptr<float>(Y_ROW)[i] will contain y coordinate of i'th feature
-    //! keypoints.ptr<float>(LAPLACIAN_ROW)[i] will contain laplacian sign of i'th feature
-    //! keypoints.ptr<float>(OCTAVE_ROW)[i] will contain octave of i'th feature
-    //! keypoints.ptr<float>(SIZE_ROW)[i] will contain size of i'th feature
-    //! keypoints.ptr<float>(ANGLE_ROW)[i] will contain orientation of i'th feature
-    //! keypoints.ptr<float>(HESSIAN_ROW)[i] will contain response of i'th feature
-    bool detect(InputArray img, InputArray mask, UMat& keypoints);
-    //! finds the keypoints and computes their descriptors.
-    //! Optionally it can compute descriptors for the user-provided keypoints and recompute keypoints direction
-    bool detectAndCompute(InputArray img, InputArray mask, UMat& keypoints,
-                          OutputArray descriptors, bool useProvidedKeypoints = false);
-
-protected:
-    bool setImage(InputArray img, InputArray mask);
-
-    // kernel callers declarations
-    bool calcLayerDetAndTrace(int octave, int layer_rows);
-
-    bool findMaximaInLayer(int counterOffset, int octave, int layer_rows, int layer_cols);
-
-    bool interpolateKeypoint(int maxCounter, UMat &keypoints, int octave, int layer_rows, int maxFeatures);
-
-    bool calcOrientation(UMat &keypoints);
-
-    bool setUpRight(UMat &keypoints);
-
-    bool computeDescriptors(const UMat &keypoints, OutputArray descriptors);
-
-    bool detectKeypoints(UMat &keypoints);
-
-    const SURF* params;
-
-    //! max keypoints = min(keypointsRatio * img.size().area(), 65535)
-    UMat sum, intBuffer;
-    UMat det, trace;
-    UMat maxPosBuffer;
-
-    int img_cols, img_rows;
-
-    int maxCandidates;
-    int maxFeatures;
-
-    UMat img, counters;
-
-    // texture buffers
-    ocl::Image2D imgTex, sumTex;
-    bool haveImageSupport;
-    String kerOpts;
-
-    int status;
-};
-
-/*
-template<typename _Tp> void copyVectorToUMat(const std::vector<_Tp>& v, UMat& um)
-{
-    if(v.empty())
-        um.release();
-    else
-        Mat(1, (int)(v.size()*sizeof(v[0])), CV_8U, (void*)&v[0]).copyTo(um);
-}
-
-template<typename _Tp> void copyUMatToVector(const UMat& um, std::vector<_Tp>& v)
-{
-    if(um.empty())
-        v.clear();
-    else
-    {
-        size_t sz = um.total()*um.elemSize();
-        CV_Assert(um.isContinuous() && (sz % sizeof(_Tp) == 0));
-        v.resize(sz/sizeof(_Tp));
-        Mat m(um.size(), um.type(), &v[0]);
-        um.copyTo(m);
-    }
-}*/
-
-}
-
-#endif
diff --git a/modules/nonfree/src/surf.ocl.cpp b/modules/nonfree/src/surf.ocl.cpp
deleted file mode 100644
index f46fc500f2..0000000000
--- a/modules/nonfree/src/surf.ocl.cpp
+++ /dev/null
@@ -1,459 +0,0 @@
-/*M/////////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
-// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// @Authors
-//    Peng Xiao, pengxiao@multicorewareinc.com
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors as is and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-#include "precomp.hpp"
-#include "surf.hpp"
-
-#include <cstdio>
-#include <sstream>
-#include "opencl_kernels_nonfree.hpp"
-
-namespace cv
-{
-
-enum { ORI_SEARCH_INC=5, ORI_LOCAL_SIZE=(360 / ORI_SEARCH_INC) };
-
-static inline int calcSize(int octave, int layer)
-{
-    /* Wavelet size at first layer of first octave. */
-    const int HAAR_SIZE0 = 9;
-
-    /* Wavelet size increment between layers. This should be an even number,
-    such that the wavelet sizes in an octave are either all even or all odd.
-    This ensures that when looking for the neighbors of a sample, the layers
-
-    above and below are aligned correctly. */
-    const int HAAR_SIZE_INC = 6;
-
-    return (HAAR_SIZE0 + HAAR_SIZE_INC * layer) << octave;
-}
-
-
-SURF_OCL::SURF_OCL()
-{
-    img_cols = img_rows = maxCandidates = maxFeatures = 0;
-    haveImageSupport = false;
-    status = -1;
-}
-
-bool SURF_OCL::init(const SURF* p)
-{
-    params = p;
-    if(status < 0)
-    {
-        status = 0;
-        if(ocl::haveOpenCL())
-        {
-            const ocl::Device& dev = ocl::Device::getDefault();
-            if( dev.type() == ocl::Device::TYPE_CPU || dev.doubleFPConfig() == 0 )
-                return false;
-            haveImageSupport = false;//dev.imageSupport();
-            kerOpts = haveImageSupport ? "-D HAVE_IMAGE2D -D DOUBLE_SUPPORT" : "";
-//            status = 1;
-        }
-    }
-    return status > 0;
-}
-
-
-bool SURF_OCL::setImage(InputArray _img, InputArray _mask)
-{
-    if( status <= 0 )
-        return false;
-    if( !_mask.empty())
-        return false;
-    int imgtype = _img.type();
-    CV_Assert(!_img.empty());
-    CV_Assert(params && params->nOctaves > 0 && params->nOctaveLayers > 0);
-
-    int min_size = calcSize(params->nOctaves - 1, 0);
-    Size sz = _img.size();
-    img_cols = sz.width;
-    img_rows = sz.height;
-    CV_Assert(img_rows >= min_size && img_cols >= min_size);
-
-    const int layer_rows = img_rows >> (params->nOctaves - 1);
-    const int layer_cols = img_cols >> (params->nOctaves - 1);
-    const int min_margin = ((calcSize((params->nOctaves - 1), 2) >> 1) >> (params->nOctaves - 1)) + 1;
-    CV_Assert(layer_rows - 2 * min_margin > 0);
-    CV_Assert(layer_cols - 2 * min_margin > 0);
-
-    maxFeatures   = std::min(static_cast<int>(img_cols*img_rows * 0.01f), 65535);
-    maxCandidates = std::min(static_cast<int>(1.5 * maxFeatures), 65535);
-
-    CV_Assert(maxFeatures > 0);
-
-    counters.create(1, params->nOctaves + 1, CV_32SC1);
-    counters.setTo(Scalar::all(0));
-
-    img.release();
-    if(_img.isUMat() && imgtype == CV_8UC1)
-        img = _img.getUMat();
-    else if( imgtype == CV_8UC1 )
-        _img.copyTo(img);
-    else
-        cvtColor(_img, img, COLOR_BGR2GRAY);
-
-    integral(img, sum);
-
-    if(haveImageSupport)
-    {
-        imgTex = ocl::Image2D(img);
-        sumTex = ocl::Image2D(sum);
-    }
-
-    return true;
-}
-
-
-bool SURF_OCL::detectKeypoints(UMat &keypoints)
-{
-    // create image pyramid buffers
-    // different layers have same sized buffers, but they are sampled from Gaussian kernel.
-    det.create(img_rows * (params->nOctaveLayers + 2), img_cols, CV_32F);
-    trace.create(img_rows * (params->nOctaveLayers + 2), img_cols, CV_32FC1);
-
-    maxPosBuffer.create(1, maxCandidates, CV_32SC4);
-    keypoints.create(SURF_OCL::ROWS_COUNT, maxFeatures, CV_32F);
-    keypoints.setTo(Scalar::all(0));
-    Mat cpuCounters;
-
-    for (int octave = 0; octave < params->nOctaves; ++octave)
-    {
-        const int layer_rows = img_rows >> octave;
-        const int layer_cols = img_cols >> octave;
-
-        if(!calcLayerDetAndTrace(octave, layer_rows))
-            return false;
-
-        if(!findMaximaInLayer(1 + octave, octave, layer_rows, layer_cols))
-            return false;
-
-        cpuCounters = counters.getMat(ACCESS_READ);
-        int maxCounter = cpuCounters.at<int>(1 + octave);
-        maxCounter = std::min(maxCounter, maxCandidates);
-        cpuCounters.release();
-
-        if (maxCounter > 0)
-        {
-            if(!interpolateKeypoint(maxCounter, keypoints, octave, layer_rows, maxFeatures))
-                return false;
-        }
-    }
-
-    cpuCounters = counters.getMat(ACCESS_READ);
-    int featureCounter = cpuCounters.at<int>(0);
-    featureCounter = std::min(featureCounter, maxFeatures);
-    cpuCounters.release();
-
-    keypoints = UMat(keypoints, Rect(0, 0, featureCounter, keypoints.rows));
-
-    if (params->upright)
-        return setUpRight(keypoints);
-    else
-        return calcOrientation(keypoints);
-}
-
-
-bool SURF_OCL::setUpRight(UMat &keypoints)
-{
-    int nFeatures = keypoints.cols;
-    if( nFeatures == 0 )
-        return true;
-
-    size_t globalThreads[3] = {nFeatures, 1};
-    ocl::Kernel kerUpRight("SURF_setUpRight", ocl::nonfree::surf_oclsrc, kerOpts);
-    return kerUpRight.args(ocl::KernelArg::ReadWrite(keypoints)).run(2, globalThreads, 0, true);
-}
-
-bool SURF_OCL::computeDescriptors(const UMat &keypoints, OutputArray _descriptors)
-{
-    int dsize = params->descriptorSize();
-    int nFeatures = keypoints.cols;
-    if (nFeatures == 0)
-    {
-        _descriptors.release();
-        return true;
-    }
-    _descriptors.create(nFeatures, dsize, CV_32F);
-    UMat descriptors;
-    if( _descriptors.isUMat() )
-        descriptors = _descriptors.getUMat();
-    else
-        descriptors.create(nFeatures, dsize, CV_32F);
-
-    ocl::Kernel kerCalcDesc, kerNormDesc;
-
-    if( dsize == 64 )
-    {
-        kerCalcDesc.create("SURF_computeDescriptors64", ocl::nonfree::surf_oclsrc, kerOpts);
-        kerNormDesc.create("SURF_normalizeDescriptors64", ocl::nonfree::surf_oclsrc, kerOpts);
-    }
-    else
-    {
-        CV_Assert(dsize == 128);
-        kerCalcDesc.create("SURF_computeDescriptors128", ocl::nonfree::surf_oclsrc, kerOpts);
-        kerNormDesc.create("SURF_normalizeDescriptors128", ocl::nonfree::surf_oclsrc, kerOpts);
-    }
-
-    size_t localThreads[] = {6, 6};
-    size_t globalThreads[] = {nFeatures*localThreads[0], localThreads[1]};
-
-    if(haveImageSupport)
-    {
-        kerCalcDesc.args(imgTex,
-                         img_rows, img_cols,
-                         ocl::KernelArg::ReadOnlyNoSize(keypoints),
-                         ocl::KernelArg::WriteOnlyNoSize(descriptors));
-    }
-    else
-    {
-        kerCalcDesc.args(ocl::KernelArg::ReadOnlyNoSize(img),
-                         img_rows, img_cols,
-                         ocl::KernelArg::ReadOnlyNoSize(keypoints),
-                         ocl::KernelArg::WriteOnlyNoSize(descriptors));
-    }
-
-    if(!kerCalcDesc.run(2, globalThreads, localThreads, true))
-        return false;
-
-    size_t localThreads_n[] = {dsize, 1};
-    size_t globalThreads_n[] = {nFeatures*localThreads_n[0], localThreads_n[1]};
-
-    globalThreads[0] = nFeatures * localThreads[0];
-    globalThreads[1] = localThreads[1];
-    bool ok = kerNormDesc.args(ocl::KernelArg::ReadWriteNoSize(descriptors)).
-                        run(2, globalThreads_n, localThreads_n, true);
-    if(ok && !_descriptors.isUMat())
-        descriptors.copyTo(_descriptors);
-    return ok;
-}
-
-
-void SURF_OCL::uploadKeypoints(const std::vector<KeyPoint> &keypoints, UMat &keypointsGPU)
-{
-    if (keypoints.empty())
-        keypointsGPU.release();
-    else
-    {
-        Mat keypointsCPU(SURF_OCL::ROWS_COUNT, static_cast<int>(keypoints.size()), CV_32FC1);
-
-        float *kp_x = keypointsCPU.ptr<float>(SURF_OCL::X_ROW);
-        float *kp_y = keypointsCPU.ptr<float>(SURF_OCL::Y_ROW);
-        int *kp_laplacian = keypointsCPU.ptr<int>(SURF_OCL::LAPLACIAN_ROW);
-        int *kp_octave = keypointsCPU.ptr<int>(SURF_OCL::OCTAVE_ROW);
-        float *kp_size = keypointsCPU.ptr<float>(SURF_OCL::SIZE_ROW);
-        float *kp_dir = keypointsCPU.ptr<float>(SURF_OCL::ANGLE_ROW);
-        float *kp_hessian = keypointsCPU.ptr<float>(SURF_OCL::HESSIAN_ROW);
-
-        for (size_t i = 0, size = keypoints.size(); i < size; ++i)
-        {
-            const KeyPoint &kp = keypoints[i];
-            kp_x[i] = kp.pt.x;
-            kp_y[i] = kp.pt.y;
-            kp_octave[i] = kp.octave;
-            kp_size[i] = kp.size;
-            kp_dir[i] = kp.angle;
-            kp_hessian[i] = kp.response;
-            kp_laplacian[i] = 1;
-        }
-
-        keypointsCPU.copyTo(keypointsGPU);
-    }
-}
-
-void SURF_OCL::downloadKeypoints(const UMat &keypointsGPU, std::vector<KeyPoint> &keypoints)
-{
-    const int nFeatures = keypointsGPU.cols;
-
-    if (nFeatures == 0)
-        keypoints.clear();
-    else
-    {
-        CV_Assert(keypointsGPU.type() == CV_32FC1 && keypointsGPU.rows == ROWS_COUNT);
-
-        Mat keypointsCPU = keypointsGPU.getMat(ACCESS_READ);
-        keypoints.resize(nFeatures);
-
-        float *kp_x = keypointsCPU.ptr<float>(SURF_OCL::X_ROW);
-        float *kp_y = keypointsCPU.ptr<float>(SURF_OCL::Y_ROW);
-        int *kp_laplacian = keypointsCPU.ptr<int>(SURF_OCL::LAPLACIAN_ROW);
-        int *kp_octave = keypointsCPU.ptr<int>(SURF_OCL::OCTAVE_ROW);
-        float *kp_size = keypointsCPU.ptr<float>(SURF_OCL::SIZE_ROW);
-        float *kp_dir = keypointsCPU.ptr<float>(SURF_OCL::ANGLE_ROW);
-        float *kp_hessian = keypointsCPU.ptr<float>(SURF_OCL::HESSIAN_ROW);
-
-        for (int i = 0; i < nFeatures; ++i)
-        {
-            KeyPoint &kp = keypoints[i];
-            kp.pt.x = kp_x[i];
-            kp.pt.y = kp_y[i];
-            kp.class_id = kp_laplacian[i];
-            kp.octave = kp_octave[i];
-            kp.size = kp_size[i];
-            kp.angle = kp_dir[i];
-            kp.response = kp_hessian[i];
-        }
-    }
-}
-
-bool SURF_OCL::detect(InputArray _img, InputArray _mask, UMat& keypoints)
-{
-    if( !setImage(_img, _mask) )
-        return false;
-
-    return detectKeypoints(keypoints);
-}
-
-
-bool SURF_OCL::detectAndCompute(InputArray _img, InputArray _mask, UMat& keypoints,
-                                OutputArray _descriptors, bool useProvidedKeypoints )
-{
-    if( !setImage(_img, _mask) )
-        return false;
-
-    if( !useProvidedKeypoints && !detectKeypoints(keypoints) )
-        return false;
-
-    return computeDescriptors(keypoints, _descriptors);
-}
-
-inline int divUp(int a, int b) { return (a + b-1)/b; }
-
-////////////////////////////
-// kernel caller definitions
-bool SURF_OCL::calcLayerDetAndTrace(int octave, int c_layer_rows)
-{
-    int nOctaveLayers = params->nOctaveLayers;
-    const int min_size = calcSize(octave, 0);
-    const int max_samples_i = 1 + ((img_rows - min_size) >> octave);
-    const int max_samples_j = 1 + ((img_cols - min_size) >> octave);
-
-    size_t localThreads[]  = {16, 16};
-    size_t globalThreads[] =
-    {
-        divUp(max_samples_j, (int)localThreads[0]) * localThreads[0],
-        divUp(max_samples_i, (int)localThreads[1]) * localThreads[1] * (nOctaveLayers + 2)
-    };
-    ocl::Kernel kerCalcDetTrace("SURF_calcLayerDetAndTrace", ocl::nonfree::surf_oclsrc, kerOpts);
-    if(haveImageSupport)
-    {
-        kerCalcDetTrace.args(sumTex,
-                             img_rows, img_cols, nOctaveLayers,
-                             octave, c_layer_rows,
-                             ocl::KernelArg::WriteOnlyNoSize(det),
-                             ocl::KernelArg::WriteOnlyNoSize(trace));
-    }
-    else
-    {
-        kerCalcDetTrace.args(ocl::KernelArg::ReadOnlyNoSize(sum),
-                             img_rows, img_cols, nOctaveLayers,
-                             octave, c_layer_rows,
-                             ocl::KernelArg::WriteOnlyNoSize(det),
-                             ocl::KernelArg::WriteOnlyNoSize(trace));
-    }
-    return kerCalcDetTrace.run(2, globalThreads, localThreads, true);
-}
-
-bool SURF_OCL::findMaximaInLayer(int counterOffset, int octave,
-                                 int layer_rows, int layer_cols)
-{
-    const int min_margin = ((calcSize(octave, 2) >> 1) >> octave) + 1;
-    int nOctaveLayers = params->nOctaveLayers;
-
-    size_t localThreads[3]  = {16, 16};
-    size_t globalThreads[3] =
-    {
-        divUp(layer_cols - 2 * min_margin, (int)localThreads[0] - 2) * localThreads[0],
-        divUp(layer_rows - 2 * min_margin, (int)localThreads[1] - 2) * nOctaveLayers * localThreads[1]
-    };
-
-    ocl::Kernel kerFindMaxima("SURF_findMaximaInLayer", ocl::nonfree::surf_oclsrc, kerOpts);
-    return kerFindMaxima.args(ocl::KernelArg::ReadOnlyNoSize(det),
-                              ocl::KernelArg::ReadOnlyNoSize(trace),
-                              ocl::KernelArg::PtrReadWrite(maxPosBuffer),
-                              ocl::KernelArg::PtrReadWrite(counters),
-                              counterOffset, img_rows, img_cols,
-                              octave, nOctaveLayers,
-                              layer_rows, layer_cols,
-                              maxCandidates,
-                              (float)params->hessianThreshold).run(2, globalThreads, localThreads, true);
-}
-
-bool SURF_OCL::interpolateKeypoint(int maxCounter, UMat &keypoints, int octave, int layer_rows, int max_features)
-{
-    size_t localThreads[3]  = {3, 3, 3};
-    size_t globalThreads[3] = {maxCounter*localThreads[0], localThreads[1], 3};
-
-    ocl::Kernel kerInterp("SURF_interpolateKeypoint", ocl::nonfree::surf_oclsrc, kerOpts);
-
-    return kerInterp.args(ocl::KernelArg::ReadOnlyNoSize(det),
-                   ocl::KernelArg::PtrReadOnly(maxPosBuffer),
-                   ocl::KernelArg::ReadWriteNoSize(keypoints),
-                   ocl::KernelArg::PtrReadWrite(counters),
-                   img_rows, img_cols, octave, layer_rows, max_features).
-        run(3, globalThreads, localThreads, true);
-}
-
-bool SURF_OCL::calcOrientation(UMat &keypoints)
-{
-    int nFeatures = keypoints.cols;
-    if( nFeatures == 0 )
-        return true;
-    ocl::Kernel kerOri("SURF_calcOrientation", ocl::nonfree::surf_oclsrc, kerOpts);
-
-    if( haveImageSupport )
-        kerOri.args(sumTex, img_rows, img_cols,
-                    ocl::KernelArg::ReadWriteNoSize(keypoints));
-    else
-        kerOri.args(ocl::KernelArg::ReadOnlyNoSize(sum),
-                    img_rows, img_cols,
-                    ocl::KernelArg::ReadWriteNoSize(keypoints));
-
-    size_t localThreads[3]  = {ORI_LOCAL_SIZE, 1};
-    size_t globalThreads[3] = {nFeatures * localThreads[0], 1};
-    return kerOri.run(2, globalThreads, localThreads, true);
-}
-
-}
diff --git a/modules/nonfree/test/test_detectors.cpp b/modules/nonfree/test/test_detectors.cpp
deleted file mode 100644
index 5854207dcd..0000000000
--- a/modules/nonfree/test/test_detectors.cpp
+++ /dev/null
@@ -1,314 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "test_precomp.hpp"
-
-#include <string>
-#include <iostream>
-#include <iterator>
-#include <fstream>
-#include <numeric>
-#include <algorithm>
-#include <iterator>
-
-using namespace cv;
-using namespace std;
-
-class CV_DetectorsTest : public cvtest::BaseTest
-{
-public:
-    CV_DetectorsTest();
-    ~CV_DetectorsTest();
-protected:
-    void run(int);
-    template <class T> bool testDetector(const Mat& img, const T& detector, vector<KeyPoint>& expected);
-
-    void LoadExpected(const string& file, vector<KeyPoint>& out);
-};
-
-CV_DetectorsTest::CV_DetectorsTest()
-{
-}
-CV_DetectorsTest::~CV_DetectorsTest() {}
-
-void getRotation(const Mat& img, Mat& aff, Mat& out)
-{
-    Point center(img.cols/2, img.rows/2);
-    aff = getRotationMatrix2D(center, 30, 1);
-    warpAffine( img, out, aff, img.size());
-}
-
-void getZoom(const Mat& img, Mat& aff, Mat& out)
-{
-    const double mult = 1.2;
-
-    aff.create(2, 3, CV_64F);
-    double *data = aff.ptr<double>();
-    data[0] = mult; data[1] =    0; data[2] = 0;
-    data[3] =    0; data[4] = mult; data[5] = 0;
-
-    warpAffine( img, out, aff, img.size());
-}
-
-void getBlur(const Mat& img, Mat& aff, Mat& out)
-{
-    aff.create(2, 3, CV_64F);
-    double *data = aff.ptr<double>();
-    data[0] = 1; data[1] = 0; data[2] = 0;
-    data[3] = 0; data[4] = 1; data[5] = 0;
-
-    GaussianBlur(img, out, Size(5, 5), 2);
-}
-
-void getBrightness(const Mat& img, Mat& aff, Mat& out)
-{
-    aff.create(2, 3, CV_64F);
-    double *data = aff.ptr<double>();
-    data[0] = 1; data[1] = 0; data[2] = 0;
-    data[3] = 0; data[4] = 1; data[5] = 0;
-
-    add(img, Mat(img.size(), img.type(), Scalar(15)), out);
-}
-
-void showOrig(const Mat& img, const vector<KeyPoint>& orig_pts)
-{
-
-    Mat img_color;
-    cvtColor(img, img_color, COLOR_GRAY2BGR);
-
-    for(size_t i = 0; i < orig_pts.size(); ++i)
-        circle(img_color, orig_pts[i].pt, (int)orig_pts[i].size/2, Scalar(0, 255, 0));
-
-    namedWindow("O"); imshow("O", img_color);
-}
-
-void show(const string& name, const Mat& new_img, const vector<KeyPoint>& new_pts, const vector<KeyPoint>& transf_pts)
-{
-
-    Mat new_img_color;
-    cvtColor(new_img, new_img_color, COLOR_GRAY2BGR);
-
-    for(size_t i = 0; i < transf_pts.size(); ++i)
-        circle(new_img_color, transf_pts[i].pt, (int)transf_pts[i].size/2, Scalar(255, 0, 0));
-
-    for(size_t i = 0; i < new_pts.size(); ++i)
-        circle(new_img_color, new_pts[i].pt, (int)new_pts[i].size/2, Scalar(0, 0, 255));
-
-    namedWindow(name + "_T"); imshow(name + "_T", new_img_color);
-}
-
-struct WrapPoint
-{
-    const double* R;
-    WrapPoint(const Mat& rmat) : R(rmat.ptr<double>()) { };
-
-    KeyPoint operator()(const KeyPoint& kp) const
-    {
-        KeyPoint res = kp;
-        res.pt.x = static_cast<float>(kp.pt.x * R[0] + kp.pt.y * R[1] + R[2]);
-        res.pt.y = static_cast<float>(kp.pt.x * R[3] + kp.pt.y * R[4] + R[5]);
-        return res;
-    }
-};
-
-struct sortByR { bool operator()(const KeyPoint& kp1, const KeyPoint& kp2) { return norm(kp1.pt) < norm(kp2.pt); } };
-
-template <class T> bool CV_DetectorsTest::testDetector(const Mat& img, const T& detector, vector<KeyPoint>& exp)
-{
-    vector<KeyPoint> orig_kpts;
-    detector(img, orig_kpts);
-
-    typedef void (*TransfFunc )(const Mat&, Mat&, Mat& FransfFunc);
-    const TransfFunc transfFunc[] = { getRotation, getZoom, getBlur, getBrightness };
-    //const string names[] =  { "Rotation", "Zoom", "Blur", "Brightness" };
-    const size_t case_num = sizeof(transfFunc)/sizeof(transfFunc[0]);
-
-    vector<Mat> affs(case_num);
-    vector<Mat> new_imgs(case_num);
-
-    vector< vector<KeyPoint> > new_kpts(case_num);
-    vector< vector<KeyPoint> > transf_kpts(case_num);
-
-    //showOrig(img, orig_kpts);
-    for(size_t i = 0; i < case_num; ++i)
-    {
-        transfFunc[i](img, affs[i], new_imgs[i]);
-        detector(new_imgs[i], new_kpts[i]);
-        transform(orig_kpts.begin(), orig_kpts.end(), back_inserter(transf_kpts[i]), WrapPoint(affs[i]));
-        //show(names[i], new_imgs[i], new_kpts[i], transf_kpts[i]);
-    }
-
-    const float thres = 3;
-    const float nthres = 3;
-
-    vector<KeyPoint> result;
-    for(size_t i = 0; i < orig_kpts.size(); ++i)
-    {
-        const KeyPoint& okp = orig_kpts[i];
-        int foundCounter = 0;
-        for(size_t j = 0; j < case_num; ++j)
-        {
-            const KeyPoint& tkp = transf_kpts[j][i];
-
-            size_t k = 0;
-
-            for(; k < new_kpts[j].size(); ++k)
-                if (norm(new_kpts[j][k].pt - tkp.pt) < nthres && fabs(new_kpts[j][k].size - tkp.size) < thres)
-                    break;
-
-            if (k != new_kpts[j].size())
-                ++foundCounter;
-
-        }
-        if (foundCounter == (int)case_num)
-            result.push_back(okp);
-    }
-
-    sort(result.begin(), result.end(), sortByR());
-    sort(exp.begin(), exp.end(), sortByR());
-
-    if (result.size() != exp.size())
-    {
-      ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
-      return false;
-    }
-
-    int foundCounter1 = 0;
-    for(size_t i = 0; i < exp.size(); ++i)
-    {
-        const KeyPoint& e = exp[i];
-        size_t j = 0;
-        for(; j < result.size(); ++j)
-        {
-            const KeyPoint& r = result[i];
-            if (norm(r.pt-e.pt) < nthres && fabs(r.size - e.size) < thres)
-                break;
-        }
-        if (j != result.size())
-            ++foundCounter1;
-    }
-
-    int foundCounter2 = 0;
-    for(size_t i = 0; i < result.size(); ++i)
-    {
-        const KeyPoint& r = result[i];
-        size_t j = 0;
-        for(; j < exp.size(); ++j)
-        {
-            const KeyPoint& e = exp[i];
-            if (norm(r.pt-e.pt) < nthres && fabs(r.size - e.size) < thres)
-                break;
-        }
-        if (j != exp.size())
-            ++foundCounter2;
-    }
-    //showOrig(img, result); waitKey();
-
-    const float errorRate = 0.9f;
-    if (float(foundCounter1)/exp.size() < errorRate || float(foundCounter2)/result.size() < errorRate)
-    {
-        ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH);
-        return false;
-    }
-    return true;
-}
-
-struct SurfNoMaskWrap
-{
-    const SURF& detector;
-    SurfNoMaskWrap(const SURF& surf) : detector(surf) {}
-    SurfNoMaskWrap& operator=(const SurfNoMaskWrap&);
-    void operator()(const Mat& img, vector<KeyPoint>& kpts) const { detector(img, Mat(), kpts); }
-};
-
-void CV_DetectorsTest::LoadExpected(const string& file, vector<KeyPoint>& out)
-{
-    Mat mat_exp;
-    FileStorage fs(file, FileStorage::READ);
-    if (fs.isOpened())
-    {
-        read( fs["ResultVectorData"], mat_exp, Mat() );
-        out.resize(mat_exp.cols / sizeof(KeyPoint));
-        copy(mat_exp.ptr<KeyPoint>(), mat_exp.ptr<KeyPoint>() + out.size(), out.begin());
-    }
-    else
-    {
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA);
-        out.clear();
-    }
-}
-
-void CV_DetectorsTest::run( int /*start_from*/ )
-{
-    Mat img = imread(string(ts->get_data_path()) + "shared/graffiti.png", 0);
-
-    if (img.empty())
-    {
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-        return;
-    }
-
-    Mat to_test(img.size() * 2, img.type(), Scalar(0));
-    Mat roi = to_test(Rect(img.rows/2, img.cols/2, img.cols, img.rows));
-    img.copyTo(roi);
-    GaussianBlur(to_test, to_test, Size(3, 3), 1.5);
-
-    vector<KeyPoint> exp;
-    LoadExpected(string(ts->get_data_path()) + "detectors/surf.xml", exp);
-    if (exp.empty())
-        return;
-
-    if (!testDetector(to_test, SurfNoMaskWrap(SURF(1536+512+512, 2)), exp))
-        return;
-
-    LoadExpected(string(ts->get_data_path()) + "detectors/star.xml", exp);
-    if (exp.empty())
-        return;
-
-    if (!testDetector(to_test, StarDetector(45, 30, 10, 8, 5), exp))
-        return;
-
-    ts->set_failed_test_info( cvtest::TS::OK);
-}
-
-
-TEST(Features2d_Detectors, regression) { CV_DetectorsTest test; test.safe_run(); }
diff --git a/modules/nonfree/test/test_features2d.cpp b/modules/nonfree/test/test_features2d.cpp
deleted file mode 100644
index 3cc5b47cf0..0000000000
--- a/modules/nonfree/test/test_features2d.cpp
+++ /dev/null
@@ -1,1224 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                        Intel License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of Intel Corporation may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "test_precomp.hpp"
-#include "opencv2/calib3d.hpp"
-
-using namespace std;
-using namespace cv;
-
-const string FEATURES2D_DIR = "features2d";
-const string DETECTOR_DIR = FEATURES2D_DIR + "/feature_detectors";
-const string DESCRIPTOR_DIR = FEATURES2D_DIR + "/descriptor_extractors";
-const string IMAGE_FILENAME = "tsukuba.png";
-
-/****************************************************************************************\
-*            Regression tests for feature detectors comparing keypoints.                 *
-\****************************************************************************************/
-
-class CV_FeatureDetectorTest : public cvtest::BaseTest
-{
-public:
-    CV_FeatureDetectorTest( const string& _name, const Ptr<FeatureDetector>& _fdetector ) :
-        name(_name), fdetector(_fdetector) {}
-
-protected:
-    bool isSimilarKeypoints( const KeyPoint& p1, const KeyPoint& p2 );
-    void compareKeypointSets( const vector<KeyPoint>& validKeypoints, const vector<KeyPoint>& calcKeypoints );
-
-    void emptyDataTest();
-    void regressionTest(); // TODO test of detect() with mask
-
-    virtual void run( int );
-
-    string name;
-    Ptr<FeatureDetector> fdetector;
-};
-
-void CV_FeatureDetectorTest::emptyDataTest()
-{
-    // One image.
-    Mat image;
-    vector<KeyPoint> keypoints;
-    try
-    {
-        fdetector->detect( image, keypoints );
-    }
-    catch(...)
-    {
-        ts->printf( cvtest::TS::LOG, "detect() on empty image must not generate exception (1).\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-    }
-
-    if( !keypoints.empty() )
-    {
-        ts->printf( cvtest::TS::LOG, "detect() on empty image must return empty keypoints vector (1).\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-        return;
-    }
-
-    // Several images.
-    vector<Mat> images;
-    vector<vector<KeyPoint> > keypointCollection;
-    try
-    {
-        fdetector->detect( images, keypointCollection );
-    }
-    catch(...)
-    {
-        ts->printf( cvtest::TS::LOG, "detect() on empty image vector must not generate exception (2).\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-    }
-}
-
-bool CV_FeatureDetectorTest::isSimilarKeypoints( const KeyPoint& p1, const KeyPoint& p2 )
-{
-    const float maxPtDif = 1.f;
-    const float maxSizeDif = 1.f;
-    const float maxAngleDif = 2.f;
-    const float maxResponseDif = 0.1f;
-
-    float dist = (float)norm( p1.pt - p2.pt );
-    return (dist < maxPtDif &&
-            fabs(p1.size - p2.size) < maxSizeDif &&
-            abs(p1.angle - p2.angle) < maxAngleDif &&
-            abs(p1.response - p2.response) < maxResponseDif &&
-            p1.octave == p2.octave &&
-            p1.class_id == p2.class_id );
-}
-
-void CV_FeatureDetectorTest::compareKeypointSets( const vector<KeyPoint>& validKeypoints, const vector<KeyPoint>& calcKeypoints )
-{
-    const float maxCountRatioDif = 0.01f;
-
-    // Compare counts of validation and calculated keypoints.
-    float countRatio = (float)validKeypoints.size() / (float)calcKeypoints.size();
-    if( countRatio < 1 - maxCountRatioDif || countRatio > 1.f + maxCountRatioDif )
-    {
-        ts->printf( cvtest::TS::LOG, "Bad keypoints count ratio (validCount = %d, calcCount = %d).\n",
-                    validKeypoints.size(), calcKeypoints.size() );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-        return;
-    }
-
-    int progress = 0, progressCount = (int)(validKeypoints.size() * calcKeypoints.size());
-    int badPointCount = 0, commonPointCount = max((int)validKeypoints.size(), (int)calcKeypoints.size());
-    for( size_t v = 0; v < validKeypoints.size(); v++ )
-    {
-        int nearestIdx = -1;
-        float minDist = std::numeric_limits<float>::max();
-
-        for( size_t c = 0; c < calcKeypoints.size(); c++ )
-        {
-            progress = update_progress( progress, (int)(v*calcKeypoints.size() + c), progressCount, 0 );
-            float curDist = (float)norm( calcKeypoints[c].pt - validKeypoints[v].pt );
-            if( curDist < minDist )
-            {
-                minDist = curDist;
-                nearestIdx = (int)c;
-            }
-        }
-
-        assert( minDist >= 0 );
-        if( !isSimilarKeypoints( validKeypoints[v], calcKeypoints[nearestIdx] ) )
-            badPointCount++;
-    }
-    ts->printf( cvtest::TS::LOG, "badPointCount = %d; validPointCount = %d; calcPointCount = %d\n",
-                badPointCount, validKeypoints.size(), calcKeypoints.size() );
-    if( badPointCount > 0.9 * commonPointCount )
-    {
-        ts->printf( cvtest::TS::LOG, " - Bad accuracy!\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
-        return;
-    }
-    ts->printf( cvtest::TS::LOG, " - OK\n" );
-}
-
-void CV_FeatureDetectorTest::regressionTest()
-{
-    assert( !fdetector.empty() );
-    string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME;
-    string resFilename = string(ts->get_data_path()) + DETECTOR_DIR + "/" + string(name) + ".xml.gz";
-
-    // Read the test image.
-    Mat image = imread( imgFilename );
-    if( image.empty() )
-    {
-        ts->printf( cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str() );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-        return;
-    }
-
-    FileStorage fs( resFilename, FileStorage::READ );
-
-    // Compute keypoints.
-    vector<KeyPoint> calcKeypoints;
-    fdetector->detect( image, calcKeypoints );
-
-    if( fs.isOpened() ) // Compare computed and valid keypoints.
-    {
-        // TODO compare saved feature detector params with current ones
-
-        // Read validation keypoints set.
-        vector<KeyPoint> validKeypoints;
-        read( fs["keypoints"], validKeypoints );
-        if( validKeypoints.empty() )
-        {
-            ts->printf( cvtest::TS::LOG, "Keypoints can not be read.\n" );
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-            return;
-        }
-
-        compareKeypointSets( validKeypoints, calcKeypoints );
-    }
-    else // Write detector parameters and computed keypoints as validation data.
-    {
-        fs.open( resFilename, FileStorage::WRITE );
-        if( !fs.isOpened() )
-        {
-            ts->printf( cvtest::TS::LOG, "File %s can not be opened to write.\n", resFilename.c_str() );
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-            return;
-        }
-        else
-        {
-            fs << "detector_params" << "{";
-            fdetector->write( fs );
-            fs << "}";
-
-            write( fs, "keypoints", calcKeypoints );
-        }
-    }
-}
-
-void CV_FeatureDetectorTest::run( int /*start_from*/ )
-{
-    if( !fdetector )
-    {
-        ts->printf( cvtest::TS::LOG, "Feature detector is empty.\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-        return;
-    }
-
-    emptyDataTest();
-    regressionTest();
-
-    ts->set_failed_test_info( cvtest::TS::OK );
-}
-
-/****************************************************************************************\
-*                     Regression tests for descriptor extractors.                        *
-\****************************************************************************************/
-static void writeMatInBin( const Mat& mat, const string& filename )
-{
-    FILE* f = fopen( filename.c_str(), "wb");
-    if( f )
-    {
-        int type = mat.type();
-        fwrite( (void*)&mat.rows, sizeof(int), 1, f );
-        fwrite( (void*)&mat.cols, sizeof(int), 1, f );
-        fwrite( (void*)&type, sizeof(int), 1, f );
-        int dataSize = (int)(mat.step * mat.rows * mat.channels());
-        fwrite( (void*)&dataSize, sizeof(int), 1, f );
-        fwrite( (void*)mat.data, 1, dataSize, f );
-        fclose(f);
-    }
-}
-
-static Mat readMatFromBin( const string& filename )
-{
-    FILE* f = fopen( filename.c_str(), "rb" );
-    if( f )
-    {
-        int rows, cols, type, dataSize;
-        size_t elements_read1 = fread( (void*)&rows, sizeof(int), 1, f );
-        size_t elements_read2 = fread( (void*)&cols, sizeof(int), 1, f );
-        size_t elements_read3 = fread( (void*)&type, sizeof(int), 1, f );
-        size_t elements_read4 = fread( (void*)&dataSize, sizeof(int), 1, f );
-        CV_Assert(elements_read1 == 1 && elements_read2 == 1 && elements_read3 == 1 && elements_read4 == 1);
-
-        int step = dataSize / rows / CV_ELEM_SIZE(type);
-        CV_Assert(step >= cols);
-
-        Mat m = Mat( rows, step, type).colRange(0, cols);
-
-        size_t elements_read = fread( m.ptr(), 1, dataSize, f );
-        CV_Assert(elements_read == (size_t)(dataSize));
-        fclose(f);
-
-        return m;
-    }
-    return Mat();
-}
-
-template<class Distance>
-class CV_DescriptorExtractorTest : public cvtest::BaseTest
-{
-public:
-    typedef typename Distance::ValueType ValueType;
-    typedef typename Distance::ResultType DistanceType;
-
-    CV_DescriptorExtractorTest( const string _name, DistanceType _maxDist, const Ptr<DescriptorExtractor>& _dextractor,
-                                Distance d = Distance() ):
-            name(_name), maxDist(_maxDist), dextractor(_dextractor), distance(d) {}
-protected:
-    virtual void createDescriptorExtractor() {}
-
-    void compareDescriptors( const Mat& validDescriptors, const Mat& calcDescriptors )
-    {
-        if( validDescriptors.size != calcDescriptors.size || validDescriptors.type() != calcDescriptors.type() )
-        {
-            ts->printf(cvtest::TS::LOG, "Valid and computed descriptors matrices must have the same size and type.\n");
-            ts->printf(cvtest::TS::LOG, "Valid size is (%d x %d) actual size is (%d x %d).\n", validDescriptors.rows, validDescriptors.cols, calcDescriptors.rows, calcDescriptors.cols);
-            ts->printf(cvtest::TS::LOG, "Valid type is %d  actual type is %d.\n", validDescriptors.type(), calcDescriptors.type());
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-            return;
-        }
-
-        CV_Assert( DataType<ValueType>::type == validDescriptors.type() );
-
-        int dimension = validDescriptors.cols;
-        DistanceType curMaxDist = std::numeric_limits<DistanceType>::min();
-        for( int y = 0; y < validDescriptors.rows; y++ )
-        {
-            DistanceType dist = distance( validDescriptors.ptr<ValueType>(y), calcDescriptors.ptr<ValueType>(y), dimension );
-            if( dist > curMaxDist )
-                curMaxDist = dist;
-        }
-
-        stringstream ss;
-        ss << "Max distance between valid and computed descriptors " << curMaxDist;
-        if( curMaxDist < maxDist )
-            ss << "." << endl;
-        else
-        {
-            ss << ">" << maxDist  << " - bad accuracy!"<< endl;
-            ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
-        }
-        ts->printf(cvtest::TS::LOG,  ss.str().c_str() );
-    }
-
-    void emptyDataTest()
-    {
-        assert( !dextractor.empty() );
-
-        // One image.
-        Mat image;
-        vector<KeyPoint> keypoints;
-        Mat descriptors;
-
-        try
-        {
-            dextractor->compute( image, keypoints, descriptors );
-        }
-        catch(...)
-        {
-            ts->printf( cvtest::TS::LOG, "compute() on empty image and empty keypoints must not generate exception (1).\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-        }
-
-        image.create( 50, 50, CV_8UC3 );
-        try
-        {
-            dextractor->compute( image, keypoints, descriptors );
-        }
-        catch(...)
-        {
-            ts->printf( cvtest::TS::LOG, "compute() on nonempty image and empty keypoints must not generate exception (1).\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-        }
-
-        // Several images.
-        vector<Mat> images;
-        vector<vector<KeyPoint> > keypointsCollection;
-        vector<Mat> descriptorsCollection;
-        try
-        {
-            dextractor->compute( images, keypointsCollection, descriptorsCollection );
-        }
-        catch(...)
-        {
-            ts->printf( cvtest::TS::LOG, "compute() on empty images and empty keypoints collection must not generate exception (2).\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-        }
-    }
-
-    void regressionTest()
-    {
-        assert( !dextractor.empty() );
-
-        // Read the test image.
-        string imgFilename =  string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME;
-
-        Mat img = imread( imgFilename );
-        if( img.empty() )
-        {
-            ts->printf( cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str() );
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-            return;
-        }
-
-        vector<KeyPoint> keypoints;
-        FileStorage fs( string(ts->get_data_path()) + FEATURES2D_DIR + "/keypoints.xml.gz", FileStorage::READ );
-        if( fs.isOpened() )
-        {
-            read( fs.getFirstTopLevelNode(), keypoints );
-
-            Mat calcDescriptors;
-            double t = (double)getTickCount();
-            dextractor->compute( img, keypoints, calcDescriptors );
-            t = getTickCount() - t;
-            ts->printf(cvtest::TS::LOG, "\nAverage time of computing one descriptor = %g ms.\n", t/((double)getTickFrequency()*1000.)/calcDescriptors.rows );
-
-            if( calcDescriptors.rows != (int)keypoints.size() )
-            {
-                ts->printf( cvtest::TS::LOG, "Count of computed descriptors and keypoints count must be equal.\n" );
-                ts->printf( cvtest::TS::LOG, "Count of keypoints is            %d.\n", (int)keypoints.size() );
-                ts->printf( cvtest::TS::LOG, "Count of computed descriptors is %d.\n", calcDescriptors.rows );
-                ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-                return;
-            }
-
-            if( calcDescriptors.cols != dextractor->descriptorSize() || calcDescriptors.type() != dextractor->descriptorType() )
-            {
-                ts->printf( cvtest::TS::LOG, "Incorrect descriptor size or descriptor type.\n" );
-                ts->printf( cvtest::TS::LOG, "Expected size is   %d.\n", dextractor->descriptorSize() );
-                ts->printf( cvtest::TS::LOG, "Calculated size is %d.\n", calcDescriptors.cols );
-                ts->printf( cvtest::TS::LOG, "Expected type is   %d.\n", dextractor->descriptorType() );
-                ts->printf( cvtest::TS::LOG, "Calculated type is %d.\n", calcDescriptors.type() );
-                ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-                return;
-            }
-
-            // TODO read and write descriptor extractor parameters and check them
-            Mat validDescriptors = readDescriptors();
-            if( !validDescriptors.empty() )
-                compareDescriptors( validDescriptors, calcDescriptors );
-            else
-            {
-                if( !writeDescriptors( calcDescriptors ) )
-                {
-                    ts->printf( cvtest::TS::LOG, "Descriptors can not be written.\n" );
-                    ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-                    return;
-                }
-            }
-        }
-        else
-        {
-            ts->printf( cvtest::TS::LOG, "Compute and write keypoints.\n" );
-            fs.open( string(ts->get_data_path()) + FEATURES2D_DIR + "/keypoints.xml.gz", FileStorage::WRITE );
-            if( fs.isOpened() )
-            {
-                SurfFeatureDetector fd;
-                fd.detect(img, keypoints);
-                write( fs, "keypoints", keypoints );
-            }
-            else
-            {
-                ts->printf(cvtest::TS::LOG, "File for writting keypoints can not be opened.\n");
-                ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-                return;
-            }
-        }
-    }
-
-    void run(int)
-    {
-        createDescriptorExtractor();
-        if( !dextractor )
-        {
-            ts->printf(cvtest::TS::LOG, "Descriptor extractor is empty.\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-            return;
-        }
-
-        emptyDataTest();
-        regressionTest();
-
-        ts->set_failed_test_info( cvtest::TS::OK );
-    }
-
-    virtual Mat readDescriptors()
-    {
-        Mat res = readMatFromBin( string(ts->get_data_path()) + DESCRIPTOR_DIR + "/" + string(name) );
-        return res;
-    }
-
-    virtual bool writeDescriptors( Mat& descs )
-    {
-        writeMatInBin( descs,  string(ts->get_data_path()) + DESCRIPTOR_DIR + "/" + string(name) );
-        return true;
-    }
-
-    string name;
-    const DistanceType maxDist;
-    Ptr<DescriptorExtractor> dextractor;
-    Distance distance;
-
-private:
-    CV_DescriptorExtractorTest& operator=(const CV_DescriptorExtractorTest&) { return *this; }
-};
-
-/*template<typename T, typename Distance>
-class CV_CalonderDescriptorExtractorTest : public CV_DescriptorExtractorTest<Distance>
-{
-public:
-    CV_CalonderDescriptorExtractorTest( const char* testName, float _normDif, float _prevTime ) :
-            CV_DescriptorExtractorTest<Distance>( testName, _normDif, Ptr<DescriptorExtractor>(), _prevTime )
-    {}
-
-protected:
-    virtual void createDescriptorExtractor()
-    {
-        CV_DescriptorExtractorTest<Distance>::dextractor =
-                new CalonderDescriptorExtractor<T>( string(CV_DescriptorExtractorTest<Distance>::ts->get_data_path()) +
-                                                    FEATURES2D_DIR + "/calonder_classifier.rtc");
-    }
-};*/
-
-/****************************************************************************************\
-*                       Algorithmic tests for descriptor matchers                        *
-\****************************************************************************************/
-class CV_DescriptorMatcherTest : public cvtest::BaseTest
-{
-public:
-    CV_DescriptorMatcherTest( const string& _name, const Ptr<DescriptorMatcher>& _dmatcher, float _badPart ) :
-        badPart(_badPart), name(_name), dmatcher(_dmatcher)
-        {}
-protected:
-    static const int dim = 500;
-    static const int queryDescCount = 300; // must be even number because we split train data in some cases in two
-    static const int countFactor = 4; // do not change it
-    const float badPart;
-
-    virtual void run( int );
-    void generateData( Mat& query, Mat& train );
-
-    void emptyDataTest();
-    void matchTest( const Mat& query, const Mat& train );
-    void knnMatchTest( const Mat& query, const Mat& train );
-    void radiusMatchTest( const Mat& query, const Mat& train );
-
-    string name;
-    Ptr<DescriptorMatcher> dmatcher;
-
-private:
-    CV_DescriptorMatcherTest& operator=(const CV_DescriptorMatcherTest&) { return *this; }
-};
-
-void CV_DescriptorMatcherTest::emptyDataTest()
-{
-    assert( !dmatcher.empty() );
-    Mat queryDescriptors, trainDescriptors, mask;
-    vector<Mat> trainDescriptorCollection, masks;
-    vector<DMatch> matches;
-    vector<vector<DMatch> > vmatches;
-
-    try
-    {
-        dmatcher->match( queryDescriptors, trainDescriptors, matches, mask );
-    }
-    catch(...)
-    {
-        ts->printf( cvtest::TS::LOG, "match() on empty descriptors must not generate exception (1).\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-    }
-
-    try
-    {
-        dmatcher->knnMatch( queryDescriptors, trainDescriptors, vmatches, 2, mask );
-    }
-    catch(...)
-    {
-        ts->printf( cvtest::TS::LOG, "knnMatch() on empty descriptors must not generate exception (1).\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-    }
-
-    try
-    {
-        dmatcher->radiusMatch( queryDescriptors, trainDescriptors, vmatches, 10.f, mask );
-    }
-    catch(...)
-    {
-        ts->printf( cvtest::TS::LOG, "radiusMatch() on empty descriptors must not generate exception (1).\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-    }
-
-    try
-    {
-        dmatcher->add( trainDescriptorCollection );
-    }
-    catch(...)
-    {
-        ts->printf( cvtest::TS::LOG, "add() on empty descriptors must not generate exception.\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-    }
-
-    try
-    {
-        dmatcher->match( queryDescriptors, matches, masks );
-    }
-    catch(...)
-    {
-        ts->printf( cvtest::TS::LOG, "match() on empty descriptors must not generate exception (2).\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-    }
-
-    try
-    {
-        dmatcher->knnMatch( queryDescriptors, vmatches, 2, masks );
-    }
-    catch(...)
-    {
-        ts->printf( cvtest::TS::LOG, "knnMatch() on empty descriptors must not generate exception (2).\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-    }
-
-    try
-    {
-        dmatcher->radiusMatch( queryDescriptors, vmatches, 10.f, masks );
-    }
-    catch(...)
-    {
-        ts->printf( cvtest::TS::LOG, "radiusMatch() on empty descriptors must not generate exception (2).\n" );
-        ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-    }
-
-}
-
-void CV_DescriptorMatcherTest::generateData( Mat& query, Mat& train )
-{
-    RNG& rng = theRNG();
-
-    // Generate query descriptors randomly.
-    // Descriptor vector elements are integer values.
-    Mat buf( queryDescCount, dim, CV_32SC1 );
-    rng.fill( buf, RNG::UNIFORM, Scalar::all(0), Scalar(3) );
-    buf.convertTo( query, CV_32FC1 );
-
-    // Generate train decriptors as follows:
-    // copy each query descriptor to train set countFactor times
-    // and perturb some one element of the copied descriptors in
-    // in ascending order. General boundaries of the perturbation
-    // are (0.f, 1.f).
-    train.create( query.rows*countFactor, query.cols, CV_32FC1 );
-    float step = 1.f / countFactor;
-    for( int qIdx = 0; qIdx < query.rows; qIdx++ )
-    {
-        Mat queryDescriptor = query.row(qIdx);
-        for( int c = 0; c < countFactor; c++ )
-        {
-            int tIdx = qIdx * countFactor + c;
-            Mat trainDescriptor = train.row(tIdx);
-            queryDescriptor.copyTo( trainDescriptor );
-            int elem = rng(dim);
-            float diff = rng.uniform( step*c, step*(c+1) );
-            trainDescriptor.at<float>(0, elem) += diff;
-        }
-    }
-}
-
-void CV_DescriptorMatcherTest::matchTest( const Mat& query, const Mat& train )
-{
-    dmatcher->clear();
-
-    // test const version of match()
-    {
-        vector<DMatch> matches;
-        dmatcher->match( query, train, matches );
-
-        if( (int)matches.size() != queryDescCount )
-        {
-            ts->printf(cvtest::TS::LOG, "Incorrect matches count while test match() function (1).\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-        }
-        else
-        {
-            int badCount = 0;
-            for( size_t i = 0; i < matches.size(); i++ )
-            {
-                DMatch match = matches[i];
-                if( (match.queryIdx != (int)i) || (match.trainIdx != (int)i*countFactor) || (match.imgIdx != 0) )
-                    badCount++;
-            }
-            if( (float)badCount > (float)queryDescCount*badPart )
-            {
-                ts->printf( cvtest::TS::LOG, "%f - too large bad matches part while test match() function (1).\n",
-                            (float)badCount/(float)queryDescCount );
-                ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-            }
-        }
-    }
-
-    // test version of match() with add()
-    {
-        vector<DMatch> matches;
-        // make add() twice to test such case
-        dmatcher->add( vector<Mat>(1,train.rowRange(0, train.rows/2)) );
-        dmatcher->add( vector<Mat>(1,train.rowRange(train.rows/2, train.rows)) );
-        // prepare masks (make first nearest match illegal)
-        vector<Mat> masks(2);
-        for(int mi = 0; mi < 2; mi++ )
-        {
-            masks[mi] = Mat(query.rows, train.rows/2, CV_8UC1, Scalar::all(1));
-            for( int di = 0; di < queryDescCount/2; di++ )
-                masks[mi].col(di*countFactor).setTo(Scalar::all(0));
-        }
-
-        dmatcher->match( query, matches, masks );
-
-        if( (int)matches.size() != queryDescCount )
-        {
-            ts->printf(cvtest::TS::LOG, "Incorrect matches count while test match() function (2).\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-        }
-        else
-        {
-            int badCount = 0;
-            for( size_t i = 0; i < matches.size(); i++ )
-            {
-                DMatch match = matches[i];
-                int shift = dmatcher->isMaskSupported() ? 1 : 0;
-                {
-                    if( i < queryDescCount/2 )
-                    {
-                        if( (match.queryIdx != (int)i) || (match.trainIdx != (int)i*countFactor + shift) || (match.imgIdx != 0) )
-                            badCount++;
-                    }
-                    else
-                    {
-                        if( (match.queryIdx != (int)i) || (match.trainIdx != ((int)i-queryDescCount/2)*countFactor + shift) || (match.imgIdx != 1) )
-                            badCount++;
-                    }
-                }
-            }
-            if( (float)badCount > (float)queryDescCount*badPart )
-            {
-                ts->printf( cvtest::TS::LOG, "%f - too large bad matches part while test match() function (2).\n",
-                            (float)badCount/(float)queryDescCount );
-                ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
-            }
-        }
-    }
-}
-
-void CV_DescriptorMatcherTest::knnMatchTest( const Mat& query, const Mat& train )
-{
-    dmatcher->clear();
-
-    // test const version of knnMatch()
-    {
-        const int knn = 3;
-
-        vector<vector<DMatch> > matches;
-        dmatcher->knnMatch( query, train, matches, knn );
-
-        if( (int)matches.size() != queryDescCount )
-        {
-            ts->printf(cvtest::TS::LOG, "Incorrect matches count while test knnMatch() function (1).\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-        }
-        else
-        {
-            int badCount = 0;
-            for( size_t i = 0; i < matches.size(); i++ )
-            {
-                if( (int)matches[i].size() != knn )
-                    badCount++;
-                else
-                {
-                    int localBadCount = 0;
-                    for( int k = 0; k < knn; k++ )
-                    {
-                        DMatch match = matches[i][k];
-                        if( (match.queryIdx != (int)i) || (match.trainIdx != (int)i*countFactor+k) || (match.imgIdx != 0) )
-                            localBadCount++;
-                    }
-                    badCount += localBadCount > 0 ? 1 : 0;
-                }
-            }
-            if( (float)badCount > (float)queryDescCount*badPart )
-            {
-                ts->printf( cvtest::TS::LOG, "%f - too large bad matches part while test knnMatch() function (1).\n",
-                            (float)badCount/(float)queryDescCount );
-                ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-            }
-        }
-    }
-
-    // test version of knnMatch() with add()
-    {
-        const int knn = 2;
-        vector<vector<DMatch> > matches;
-        // make add() twice to test such case
-        dmatcher->add( vector<Mat>(1,train.rowRange(0, train.rows/2)) );
-        dmatcher->add( vector<Mat>(1,train.rowRange(train.rows/2, train.rows)) );
-        // prepare masks (make first nearest match illegal)
-        vector<Mat> masks(2);
-        for(int mi = 0; mi < 2; mi++ )
-        {
-            masks[mi] = Mat(query.rows, train.rows/2, CV_8UC1, Scalar::all(1));
-            for( int di = 0; di < queryDescCount/2; di++ )
-                masks[mi].col(di*countFactor).setTo(Scalar::all(0));
-        }
-
-        dmatcher->knnMatch( query, matches, knn, masks );
-
-        if( (int)matches.size() != queryDescCount )
-        {
-            ts->printf(cvtest::TS::LOG, "Incorrect matches count while test knnMatch() function (2).\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-        }
-        else
-        {
-            int badCount = 0;
-            int shift = dmatcher->isMaskSupported() ? 1 : 0;
-            for( size_t i = 0; i < matches.size(); i++ )
-            {
-                if( (int)matches[i].size() != knn )
-                    badCount++;
-                else
-                {
-                    int localBadCount = 0;
-                    for( int k = 0; k < knn; k++ )
-                    {
-                        DMatch match = matches[i][k];
-                        {
-                            if( i < queryDescCount/2 )
-                            {
-                                if( (match.queryIdx != (int)i) || (match.trainIdx != (int)i*countFactor + k + shift) ||
-                                    (match.imgIdx != 0) )
-                                    localBadCount++;
-                            }
-                            else
-                            {
-                                if( (match.queryIdx != (int)i) || (match.trainIdx != ((int)i-queryDescCount/2)*countFactor + k + shift) ||
-                                    (match.imgIdx != 1) )
-                                    localBadCount++;
-                            }
-                        }
-                    }
-                    badCount += localBadCount > 0 ? 1 : 0;
-                }
-            }
-            if( (float)badCount > (float)queryDescCount*badPart )
-            {
-                ts->printf( cvtest::TS::LOG, "%f - too large bad matches part while test knnMatch() function (2).\n",
-                            (float)badCount/(float)queryDescCount );
-                ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
-            }
-        }
-    }
-}
-
-void CV_DescriptorMatcherTest::radiusMatchTest( const Mat& query, const Mat& train )
-{
-    dmatcher->clear();
-    // test const version of match()
-    {
-        const float radius = 1.f/countFactor;
-        vector<vector<DMatch> > matches;
-        dmatcher->radiusMatch( query, train, matches, radius );
-
-        if( (int)matches.size() != queryDescCount )
-        {
-            ts->printf(cvtest::TS::LOG, "Incorrect matches count while test radiusMatch() function (1).\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-        }
-        else
-        {
-            int badCount = 0;
-            for( size_t i = 0; i < matches.size(); i++ )
-            {
-                if( (int)matches[i].size() != 1 )
-                    badCount++;
-                else
-                {
-                    DMatch match = matches[i][0];
-                    if( (match.queryIdx != (int)i) || (match.trainIdx != (int)i*countFactor) || (match.imgIdx != 0) )
-                        badCount++;
-                }
-            }
-            if( (float)badCount > (float)queryDescCount*badPart )
-            {
-                ts->printf( cvtest::TS::LOG, "%f - too large bad matches part while test radiusMatch() function (1).\n",
-                            (float)badCount/(float)queryDescCount );
-                ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-            }
-        }
-    }
-
-    // test version of match() with add()
-    {
-        int n = 3;
-        const float radius = 1.f/countFactor * n;
-        vector<vector<DMatch> > matches;
-        // make add() twice to test such case
-        dmatcher->add( vector<Mat>(1,train.rowRange(0, train.rows/2)) );
-        dmatcher->add( vector<Mat>(1,train.rowRange(train.rows/2, train.rows)) );
-        // prepare masks (make first nearest match illegal)
-        vector<Mat> masks(2);
-        for(int mi = 0; mi < 2; mi++ )
-        {
-            masks[mi] = Mat(query.rows, train.rows/2, CV_8UC1, Scalar::all(1));
-            for( int di = 0; di < queryDescCount/2; di++ )
-                masks[mi].col(di*countFactor).setTo(Scalar::all(0));
-        }
-
-        dmatcher->radiusMatch( query, matches, radius, masks );
-
-        //int curRes = cvtest::TS::OK;
-        if( (int)matches.size() != queryDescCount )
-        {
-            ts->printf(cvtest::TS::LOG, "Incorrect matches count while test radiusMatch() function (1).\n");
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_OUTPUT );
-        }
-
-        int badCount = 0;
-        int shift = dmatcher->isMaskSupported() ? 1 : 0;
-        int needMatchCount = dmatcher->isMaskSupported() ? n-1 : n;
-        for( size_t i = 0; i < matches.size(); i++ )
-        {
-            if( (int)matches[i].size() != needMatchCount )
-                badCount++;
-            else
-            {
-                int localBadCount = 0;
-                for( int k = 0; k < needMatchCount; k++ )
-                {
-                    DMatch match = matches[i][k];
-                    {
-                        if( i < queryDescCount/2 )
-                        {
-                            if( (match.queryIdx != (int)i) || (match.trainIdx != (int)i*countFactor + k + shift) ||
-                                (match.imgIdx != 0) )
-                                localBadCount++;
-                        }
-                        else
-                        {
-                            if( (match.queryIdx != (int)i) || (match.trainIdx != ((int)i-queryDescCount/2)*countFactor + k + shift) ||
-                                (match.imgIdx != 1) )
-                                localBadCount++;
-                        }
-                    }
-                }
-                badCount += localBadCount > 0 ? 1 : 0;
-            }
-        }
-        if( (float)badCount > (float)queryDescCount*badPart )
-        {
-            ts->printf( cvtest::TS::LOG, "%f - too large bad matches part while test radiusMatch() function (2).\n",
-                        (float)badCount/(float)queryDescCount );
-            ts->set_failed_test_info( cvtest::TS::FAIL_BAD_ACCURACY );
-        }
-    }
-}
-
-void CV_DescriptorMatcherTest::run( int )
-{
-    Mat query, train;
-    generateData( query, train );
-
-    matchTest( query, train );
-
-    knnMatchTest( query, train );
-
-    radiusMatchTest( query, train );
-}
-
-/****************************************************************************************\
-*                                Tests registrations                                     *
-\****************************************************************************************/
-
-/*
- * Detectors
- */
-
-
-TEST( Features2d_Detector_SIFT, regression )
-{
-    CV_FeatureDetectorTest test( "detector-sift", FeatureDetector::create("SIFT") );
-    test.safe_run();
-}
-
-TEST( Features2d_Detector_SURF, regression )
-{
-    CV_FeatureDetectorTest test( "detector-surf", FeatureDetector::create("SURF") );
-    test.safe_run();
-}
-
-/*
- * Descriptors
- */
-TEST( Features2d_DescriptorExtractor_SIFT, regression )
-{
-    CV_DescriptorExtractorTest<L2<float> > test( "descriptor-sift", 0.03f,
-                                                  DescriptorExtractor::create("SIFT") );
-    test.safe_run();
-}
-
-TEST( Features2d_DescriptorExtractor_SURF, regression )
-{
-    CV_DescriptorExtractorTest<L2<float> > test( "descriptor-surf",  0.05f,
-                                                 DescriptorExtractor::create("SURF") );
-    test.safe_run();
-}
-
-TEST( Features2d_DescriptorExtractor_OpponentSIFT, regression )
-{
-    CV_DescriptorExtractorTest<L2<float> > test( "descriptor-opponent-sift", 0.18f,
-                                                 DescriptorExtractor::create("OpponentSIFT") );
-    test.safe_run();
-}
-
-TEST( Features2d_DescriptorExtractor_OpponentSURF, regression )
-{
-    CV_DescriptorExtractorTest<L2<float> > test( "descriptor-opponent-surf",  0.3f,
-                                                 DescriptorExtractor::create("OpponentSURF") );
-    test.safe_run();
-}
-
-/*#if CV_SSE2
-TEST( Features2d_DescriptorExtractor_Calonder_uchar, regression )
-{
-    CV_CalonderDescriptorExtractorTest<uchar, L2<uchar> > test( "descriptor-calonder-uchar",
-                                                                std::numeric_limits<float>::epsilon() + 1,
-                                                                0.0132175f );
-    test.safe_run();
-}
-
-TEST( Features2d_DescriptorExtractor_Calonder_float, regression )
-{
-    CV_CalonderDescriptorExtractorTest<float, L2<float> > test( "descriptor-calonder-float",
-                                                                std::numeric_limits<float>::epsilon(),
-                                                                0.0221308f );
-    test.safe_run();
-}
-#endif*/ // CV_SSE2
-
-TEST(Features2d_BruteForceDescriptorMatcher_knnMatch, regression)
-{
-    const int sz = 100;
-    const int k = 3;
-
-    Ptr<DescriptorExtractor> ext = DescriptorExtractor::create("SURF");
-    ASSERT_TRUE(ext != NULL);
-
-    Ptr<FeatureDetector> det = FeatureDetector::create("SURF");
-    //"%YAML:1.0\nhessianThreshold: 8000.\noctaves: 3\noctaveLayers: 4\nupright: 0\n"
-    ASSERT_TRUE(det != NULL);
-
-    Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create("BruteForce");
-    ASSERT_TRUE(matcher != NULL);
-
-    Mat imgT(sz, sz, CV_8U, Scalar(255));
-    line(imgT, Point(20, sz/2), Point(sz-21, sz/2), Scalar(100), 2);
-    line(imgT, Point(sz/2, 20), Point(sz/2, sz-21), Scalar(100), 2);
-    vector<KeyPoint> kpT;
-    kpT.push_back( KeyPoint(50, 50, 16, 0, 20000, 1, -1) );
-    kpT.push_back( KeyPoint(42, 42, 16, 160, 10000, 1, -1) );
-    Mat descT;
-    ext->compute(imgT, kpT, descT);
-
-    Mat imgQ(sz, sz, CV_8U, Scalar(255));
-    line(imgQ, Point(30, sz/2), Point(sz-31, sz/2), Scalar(100), 3);
-    line(imgQ, Point(sz/2, 30), Point(sz/2, sz-31), Scalar(100), 3);
-    vector<KeyPoint> kpQ;
-    det->detect(imgQ, kpQ);
-    Mat descQ;
-    ext->compute(imgQ, kpQ, descQ);
-
-    vector<vector<DMatch> > matches;
-
-    matcher->knnMatch(descQ, descT, matches, k);
-
-    //cout << "\nBest " << k << " matches to " << descT.rows << " train desc-s." << endl;
-    ASSERT_EQ(descQ.rows, static_cast<int>(matches.size()));
-    for(size_t i = 0; i<matches.size(); i++)
-    {
-        //cout << "\nmatches[" << i << "].size()==" << matches[i].size() << endl;
-        ASSERT_GE(min(k, descT.rows), static_cast<int>(matches[i].size()));
-        for(size_t j = 0; j<matches[i].size(); j++)
-        {
-            //cout << "\t" << matches[i][j].queryIdx << " -> " << matches[i][j].trainIdx << endl;
-            ASSERT_EQ(matches[i][j].queryIdx, static_cast<int>(i));
-        }
-    }
-}
-
-/*TEST(Features2d_DescriptorExtractorParamTest, regression)
-{
-    Ptr<DescriptorExtractor> s = DescriptorExtractor::create("SURF");
-    ASSERT_STREQ(s->paramHelp("extended").c_str(), "");
-}
-*/
-
-class CV_DetectPlanarTest : public cvtest::BaseTest
-{
-public:
-    CV_DetectPlanarTest(const string& _fname, int _min_ninliers) : fname(_fname), min_ninliers(_min_ninliers) {}
-
-protected:
-    void run(int)
-    {
-        Ptr<Feature2D> f = Algorithm::create<Feature2D>("Feature2D." + fname);
-        if(!f)
-            return;
-        string path = string(ts->get_data_path()) + "detectors_descriptors_evaluation/planar/";
-        string imgname1 = path + "box.png";
-        string imgname2 = path + "box_in_scene.png";
-        Mat img1 = imread(imgname1, 0);
-        Mat img2 = imread(imgname2, 0);
-        if( img1.empty() || img2.empty() )
-        {
-            ts->printf( cvtest::TS::LOG, "missing %s and/or %s\n", imgname1.c_str(), imgname2.c_str());
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-            return;
-        }
-        vector<KeyPoint> kpt1, kpt2;
-        Mat d1, d2;
-        f->operator()(img1, Mat(), kpt1, d1);
-        f->operator()(img1, Mat(), kpt2, d2);
-        for( size_t i = 0; i < kpt1.size(); i++ )
-            CV_Assert(kpt1[i].response > 0 );
-        for( size_t i = 0; i < kpt2.size(); i++ )
-            CV_Assert(kpt2[i].response > 0 );
-
-        vector<DMatch> matches;
-        BFMatcher(f->defaultNorm(), true).match(d1, d2, matches);
-
-        vector<Point2f> pt1, pt2;
-        for( size_t i = 0; i < matches.size(); i++ ) {
-            pt1.push_back(kpt1[matches[i].queryIdx].pt);
-            pt2.push_back(kpt2[matches[i].trainIdx].pt);
-        }
-
-        Mat inliers, H = findHomography(pt1, pt2, RANSAC, 10, inliers);
-        int ninliers = countNonZero(inliers);
-
-        if( ninliers < min_ninliers )
-        {
-            ts->printf( cvtest::TS::LOG, "too little inliers (%d) vs expected %d\n", ninliers, min_ninliers);
-            ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
-            return;
-        }
-    }
-
-    string fname;
-    int min_ninliers;
-};
-
-TEST(Features2d_SIFTHomographyTest, regression) { CV_DetectPlanarTest test("SIFT", 80); test.safe_run(); }
-TEST(Features2d_SURFHomographyTest, regression) { CV_DetectPlanarTest test("SURF", 80); test.safe_run(); }
-
-class FeatureDetectorUsingMaskTest : public cvtest::BaseTest
-{
-public:
-    FeatureDetectorUsingMaskTest(const Ptr<FeatureDetector>& featureDetector) :
-        featureDetector_(featureDetector)
-    {
-        CV_Assert(featureDetector_);
-    }
-
-protected:
-
-    void run(int)
-    {
-        const int nStepX = 2;
-        const int nStepY = 2;
-
-        const string imageFilename = string(ts->get_data_path()) + "/features2d/tsukuba.png";
-
-        Mat image = imread(imageFilename);
-        if(image.empty())
-        {
-            ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imageFilename.c_str());
-            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
-            return;
-        }
-
-        Mat mask(image.size(), CV_8U);
-
-        const int stepX = image.size().width / nStepX;
-        const int stepY = image.size().height / nStepY;
-
-        vector<KeyPoint> keyPoints;
-        vector<Point2f> points;
-        for(int i=0; i<nStepX; ++i)
-            for(int j=0; j<nStepY; ++j)
-            {
-
-                mask.setTo(0);
-                Rect whiteArea(i * stepX, j * stepY, stepX, stepY);
-                mask(whiteArea).setTo(255);
-
-                featureDetector_->detect(image, keyPoints, mask);
-                KeyPoint::convert(keyPoints, points);
-
-                for(size_t k=0; k<points.size(); ++k)
-                {
-                    if ( !whiteArea.contains(points[k]) )
-                    {
-                        ts->printf(cvtest::TS::LOG, "The feature point is outside of the mask.");
-                        ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
-                        return;
-                    }
-                }
-            }
-
-        ts->set_failed_test_info( cvtest::TS::OK );
-    }
-
-    Ptr<FeatureDetector> featureDetector_;
-};
-
-TEST(Features2d_SIFT_using_mask, regression)
-{
-    FeatureDetectorUsingMaskTest test(Algorithm::create<FeatureDetector>("Feature2D.SIFT"));
-    test.safe_run();
-}
-
-TEST(DISABLED_Features2d_SURF_using_mask, regression)
-{
-    FeatureDetectorUsingMaskTest test(Algorithm::create<FeatureDetector>("Feature2D.SURF"));
-    test.safe_run();
-}
diff --git a/modules/nonfree/test/test_keypoints.cpp b/modules/nonfree/test/test_keypoints.cpp
deleted file mode 100644
index b046d7534c..0000000000
--- a/modules/nonfree/test/test_keypoints.cpp
+++ /dev/null
@@ -1,132 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                        Intel License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of Intel Corporation may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "test_precomp.hpp"
-#include "opencv2/highgui.hpp"
-
-using namespace std;
-using namespace cv;
-
-const string FEATURES2D_DIR = "features2d";
-const string IMAGE_FILENAME = "tsukuba.png";
-
-/****************************************************************************************\
-*                                     Test for KeyPoint                                  *
-\****************************************************************************************/
-
-class CV_FeatureDetectorKeypointsTest : public cvtest::BaseTest
-{
-public:
-    CV_FeatureDetectorKeypointsTest(const Ptr<FeatureDetector>& _detector) :
-        detector(_detector) {}
-
-protected:
-    virtual void run(int)
-    {
-        cv::initModule_features2d();
-        CV_Assert(detector);
-        string imgFilename = string(ts->get_data_path()) + FEATURES2D_DIR + "/" + IMAGE_FILENAME;
-
-        // Read the test image.
-        Mat image = imread(imgFilename);
-        if(image.empty())
-        {
-            ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imgFilename.c_str());
-            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
-            return;
-        }
-
-        vector<KeyPoint> keypoints;
-        detector->detect(image, keypoints);
-
-        if(keypoints.empty())
-        {
-            ts->printf(cvtest::TS::LOG, "Detector can't find keypoints in image.\n");
-            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
-            return;
-        }
-
-        Rect r(0, 0, image.cols, image.rows);
-        for(size_t i = 0; i < keypoints.size(); i++)
-        {
-            const KeyPoint& kp = keypoints[i];
-
-            if(!r.contains(kp.pt))
-            {
-                ts->printf(cvtest::TS::LOG, "KeyPoint::pt is out of image (x=%f, y=%f).\n", kp.pt.x, kp.pt.y);
-                ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
-                return;
-            }
-
-            if(kp.size <= 0.f)
-            {
-                ts->printf(cvtest::TS::LOG, "KeyPoint::size is not positive (%f).\n", kp.size);
-                ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
-                return;
-            }
-
-            if((kp.angle < 0.f && kp.angle != -1.f) || kp.angle >= 360.f)
-            {
-                ts->printf(cvtest::TS::LOG, "KeyPoint::angle is out of range [0, 360). It's %f.\n", kp.angle);
-                ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
-                return;
-            }
-        }
-        ts->set_failed_test_info(cvtest::TS::OK);
-    }
-
-    Ptr<FeatureDetector> detector;
-};
-
-
-// Registration of tests
-
-TEST(Features2d_Detector_Keypoints_SURF, validation)
-{
-    CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.SURF"));
-    test.safe_run();
-}
-
-TEST(Features2d_Detector_Keypoints_SIFT, validation)
-{
-    CV_FeatureDetectorKeypointsTest test(FeatureDetector::create("SIFT"));
-    test.safe_run();
-}
diff --git a/modules/nonfree/test/test_main.cpp b/modules/nonfree/test/test_main.cpp
deleted file mode 100644
index 6b24993447..0000000000
--- a/modules/nonfree/test/test_main.cpp
+++ /dev/null
@@ -1,3 +0,0 @@
-#include "test_precomp.hpp"
-
-CV_TEST_MAIN("cv")
diff --git a/modules/nonfree/test/test_precomp.hpp b/modules/nonfree/test/test_precomp.hpp
deleted file mode 100644
index ba289b17c4..0000000000
--- a/modules/nonfree/test/test_precomp.hpp
+++ /dev/null
@@ -1,32 +0,0 @@
-#ifdef __GNUC__
-#  pragma GCC diagnostic ignored "-Wmissing-declarations"
-#  if defined __clang__ || defined __APPLE__
-#    pragma GCC diagnostic ignored "-Wmissing-prototypes"
-#    pragma GCC diagnostic ignored "-Wextra"
-#  endif
-#endif
-
-#ifndef __OPENCV_TEST_PRECOMP_HPP__
-#define __OPENCV_TEST_PRECOMP_HPP__
-
-#include <iostream>
-#include "opencv2/ts.hpp"
-#include "opencv2/ts/cuda_test.hpp"
-#include "opencv2/imgproc.hpp"
-#include "opencv2/highgui.hpp"
-#include "opencv2/nonfree.hpp"
-
-#include "opencv2/ts/cuda_test.hpp"
-
-#include "opencv2/opencv_modules.hpp"
-#include "cvconfig.h"
-
-#ifdef HAVE_OPENCV_OCL
-#  include "opencv2/nonfree/ocl.hpp"
-#endif
-
-#ifdef HAVE_CUDA
-#  include "opencv2/nonfree/cuda.hpp"
-#endif
-
-#endif
diff --git a/modules/nonfree/test/test_rotation_and_scale_invariance.cpp b/modules/nonfree/test/test_rotation_and_scale_invariance.cpp
deleted file mode 100644
index 47efc60eb8..0000000000
--- a/modules/nonfree/test/test_rotation_and_scale_invariance.cpp
+++ /dev/null
@@ -1,710 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                        Intel License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000, Intel Corporation, all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of Intel Corporation may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "test_precomp.hpp"
-#include "opencv2/highgui.hpp"
-
-using namespace std;
-using namespace cv;
-
-const string IMAGE_TSUKUBA = "/features2d/tsukuba.png";
-const string IMAGE_BIKES = "/detectors_descriptors_evaluation/images_datasets/bikes/img1.png";
-
-#define SHOW_DEBUG_LOG 0
-
-static
-Mat generateHomography(float angle)
-{
-    // angle - rotation around Oz in degrees
-    float angleRadian = static_cast<float>(angle * CV_PI / 180);
-    Mat H = Mat::eye(3, 3, CV_32FC1);
-    H.at<float>(0,0) = H.at<float>(1,1) = std::cos(angleRadian);
-    H.at<float>(0,1) = -std::sin(angleRadian);
-    H.at<float>(1,0) =  std::sin(angleRadian);
-
-    return H;
-}
-
-static
-Mat rotateImage(const Mat& srcImage, float angle, Mat& dstImage, Mat& dstMask)
-{
-    // angle - rotation around Oz in degrees
-    float diag = std::sqrt(static_cast<float>(srcImage.cols * srcImage.cols + srcImage.rows * srcImage.rows));
-    Mat LUShift = Mat::eye(3, 3, CV_32FC1); // left up
-    LUShift.at<float>(0,2) = static_cast<float>(-srcImage.cols/2);
-    LUShift.at<float>(1,2) = static_cast<float>(-srcImage.rows/2);
-    Mat RDShift = Mat::eye(3, 3, CV_32FC1); // right down
-    RDShift.at<float>(0,2) = diag/2;
-    RDShift.at<float>(1,2) = diag/2;
-    Size sz(cvRound(diag), cvRound(diag));
-
-    Mat srcMask(srcImage.size(), CV_8UC1, Scalar(255));
-
-    Mat H = RDShift * generateHomography(angle) * LUShift;
-    warpPerspective(srcImage, dstImage, H, sz);
-    warpPerspective(srcMask, dstMask, H, sz);
-
-    return H;
-}
-
-void rotateKeyPoints(const vector<KeyPoint>& src, const Mat& H, float angle, vector<KeyPoint>& dst)
-{
-    // suppose that H is rotation given from rotateImage() and angle has value passed to rotateImage()
-    vector<Point2f> srcCenters, dstCenters;
-    KeyPoint::convert(src, srcCenters);
-
-    perspectiveTransform(srcCenters, dstCenters, H);
-
-    dst = src;
-    for(size_t i = 0; i < dst.size(); i++)
-    {
-        dst[i].pt = dstCenters[i];
-        float dstAngle = src[i].angle + angle;
-        if(dstAngle >= 360.f)
-            dstAngle -= 360.f;
-        dst[i].angle = dstAngle;
-    }
-}
-
-void scaleKeyPoints(const vector<KeyPoint>& src, vector<KeyPoint>& dst, float scale)
-{
-    dst.resize(src.size());
-    for(size_t i = 0; i < src.size(); i++)
-        dst[i] = KeyPoint(src[i].pt.x * scale, src[i].pt.y * scale, src[i].size * scale, src[i].angle);
-}
-
-static
-float calcCirclesIntersectArea(const Point2f& p0, float r0, const Point2f& p1, float r1)
-{
-    float c = static_cast<float>(norm(p0 - p1)), sqr_c = c * c;
-
-    float sqr_r0 = r0 * r0;
-    float sqr_r1 = r1 * r1;
-
-    if(r0 + r1 <= c)
-       return 0;
-
-    float minR = std::min(r0, r1);
-    float maxR = std::max(r0, r1);
-    if(c + minR <= maxR)
-        return static_cast<float>(CV_PI * minR * minR);
-
-    float cos_halfA0 = (sqr_r0 + sqr_c - sqr_r1) / (2 * r0 * c);
-    float cos_halfA1 = (sqr_r1 + sqr_c - sqr_r0) / (2 * r1 * c);
-
-    float A0 = 2 * acos(cos_halfA0);
-    float A1 = 2 * acos(cos_halfA1);
-
-    return  0.5f * sqr_r0 * (A0 - sin(A0)) +
-            0.5f * sqr_r1 * (A1 - sin(A1));
-}
-
-static
-float calcIntersectRatio(const Point2f& p0, float r0, const Point2f& p1, float r1)
-{
-    float intersectArea = calcCirclesIntersectArea(p0, r0, p1, r1);
-    float unionArea = static_cast<float>(CV_PI) * (r0 * r0 + r1 * r1) - intersectArea;
-    return intersectArea / unionArea;
-}
-
-static
-void matchKeyPoints(const vector<KeyPoint>& keypoints0, const Mat& H,
-                    const vector<KeyPoint>& keypoints1,
-                    vector<DMatch>& matches)
-{
-    vector<Point2f> points0;
-    KeyPoint::convert(keypoints0, points0);
-    Mat points0t;
-    if(H.empty())
-        points0t = Mat(points0);
-    else
-        perspectiveTransform(Mat(points0), points0t, H);
-
-    matches.clear();
-    vector<uchar> usedMask(keypoints1.size(), 0);
-    for(int i0 = 0; i0 < static_cast<int>(keypoints0.size()); i0++)
-    {
-        int nearestPointIndex = -1;
-        float maxIntersectRatio = 0.f;
-        const float r0 =  0.5f * keypoints0[i0].size;
-        for(size_t i1 = 0; i1 < keypoints1.size(); i1++)
-        {
-            if(nearestPointIndex >= 0 && usedMask[i1])
-                continue;
-
-            float r1 = 0.5f * keypoints1[i1].size;
-            float intersectRatio = calcIntersectRatio(points0t.at<Point2f>(i0), r0,
-                                                      keypoints1[i1].pt, r1);
-            if(intersectRatio > maxIntersectRatio)
-            {
-                maxIntersectRatio = intersectRatio;
-                nearestPointIndex = static_cast<int>(i1);
-            }
-        }
-
-        matches.push_back(DMatch(i0, nearestPointIndex, maxIntersectRatio));
-        if(nearestPointIndex >= 0)
-            usedMask[nearestPointIndex] = 1;
-    }
-}
-
-static void removeVerySmallKeypoints(vector<KeyPoint>& keypoints)
-{
-    size_t i, j = 0, n = keypoints.size();
-    for( i = 0; i < n; i++ )
-    {
-        if( (keypoints[i].octave & 128) != 0 )
-            ;
-        else
-            keypoints[j++] = keypoints[i];
-    }
-    keypoints.resize(j);
-}
-
-
-class DetectorRotationInvarianceTest : public cvtest::BaseTest
-{
-public:
-    DetectorRotationInvarianceTest(const Ptr<FeatureDetector>& _featureDetector,
-                                     float _minKeyPointMatchesRatio,
-                                     float _minAngleInliersRatio) :
-        featureDetector(_featureDetector),
-        minKeyPointMatchesRatio(_minKeyPointMatchesRatio),
-        minAngleInliersRatio(_minAngleInliersRatio)
-    {
-        CV_Assert(featureDetector);
-    }
-
-protected:
-
-    void run(int)
-    {
-        const string imageFilename = string(ts->get_data_path()) + IMAGE_TSUKUBA;
-
-        // Read test data
-        Mat image0 = imread(imageFilename), image1, mask1;
-        if(image0.empty())
-        {
-            ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imageFilename.c_str());
-            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
-            return;
-        }
-
-        vector<KeyPoint> keypoints0;
-        featureDetector->detect(image0, keypoints0);
-        removeVerySmallKeypoints(keypoints0);
-        if(keypoints0.size() < 15)
-            CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
-
-        const int maxAngle = 360, angleStep = 15;
-        for(int angle = 0; angle < maxAngle; angle += angleStep)
-        {
-            Mat H = rotateImage(image0, static_cast<float>(angle), image1, mask1);
-
-            vector<KeyPoint> keypoints1;
-            featureDetector->detect(image1, keypoints1, mask1);
-            removeVerySmallKeypoints(keypoints1);
-
-            vector<DMatch> matches;
-            matchKeyPoints(keypoints0, H, keypoints1, matches);
-
-            int angleInliersCount = 0;
-
-            const float minIntersectRatio = 0.5f;
-            int keyPointMatchesCount = 0;
-            for(size_t m = 0; m < matches.size(); m++)
-            {
-                if(matches[m].distance < minIntersectRatio)
-                    continue;
-
-                keyPointMatchesCount++;
-
-                // Check does this inlier have consistent angles
-                const float maxAngleDiff = 15.f; // grad
-                float angle0 = keypoints0[matches[m].queryIdx].angle;
-                float angle1 = keypoints1[matches[m].trainIdx].angle;
-                if(angle0 == -1 || angle1 == -1)
-                    CV_Error(Error::StsBadArg, "Given FeatureDetector is not rotation invariant, it can not be tested here.\n");
-                CV_Assert(angle0 >= 0.f && angle0 < 360.f);
-                CV_Assert(angle1 >= 0.f && angle1 < 360.f);
-
-                float rotAngle0 = angle0 + angle;
-                if(rotAngle0 >= 360.f)
-                    rotAngle0 -= 360.f;
-
-                float angleDiff = std::max(rotAngle0, angle1) - std::min(rotAngle0, angle1);
-                angleDiff = std::min(angleDiff, static_cast<float>(360.f - angleDiff));
-                CV_Assert(angleDiff >= 0.f);
-                bool isAngleCorrect = angleDiff < maxAngleDiff;
-                if(isAngleCorrect)
-                    angleInliersCount++;
-            }
-
-            float keyPointMatchesRatio = static_cast<float>(keyPointMatchesCount) / keypoints0.size();
-            if(keyPointMatchesRatio < minKeyPointMatchesRatio)
-            {
-                ts->printf(cvtest::TS::LOG, "Incorrect keyPointMatchesRatio: curr = %f, min = %f.\n",
-                           keyPointMatchesRatio, minKeyPointMatchesRatio);
-                ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
-                return;
-            }
-
-            if(keyPointMatchesCount)
-            {
-                float angleInliersRatio = static_cast<float>(angleInliersCount) / keyPointMatchesCount;
-                if(angleInliersRatio < minAngleInliersRatio)
-                {
-                    ts->printf(cvtest::TS::LOG, "Incorrect angleInliersRatio: curr = %f, min = %f.\n",
-                               angleInliersRatio, minAngleInliersRatio);
-                    ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
-                    return;
-                }
-            }
-#if SHOW_DEBUG_LOG
-            std::cout << "keyPointMatchesRatio - " << keyPointMatchesRatio
-                << " - angleInliersRatio " << static_cast<float>(angleInliersCount) / keyPointMatchesCount << std::endl;
-#endif
-        }
-        ts->set_failed_test_info( cvtest::TS::OK );
-    }
-
-    Ptr<FeatureDetector> featureDetector;
-    float minKeyPointMatchesRatio;
-    float minAngleInliersRatio;
-};
-
-class DescriptorRotationInvarianceTest : public cvtest::BaseTest
-{
-public:
-    DescriptorRotationInvarianceTest(const Ptr<FeatureDetector>& _featureDetector,
-                                     const Ptr<DescriptorExtractor>& _descriptorExtractor,
-                                     int _normType,
-                                     float _minDescInliersRatio) :
-        featureDetector(_featureDetector),
-        descriptorExtractor(_descriptorExtractor),
-        normType(_normType),
-        minDescInliersRatio(_minDescInliersRatio)
-    {
-        CV_Assert(featureDetector);
-        CV_Assert(descriptorExtractor);
-    }
-
-protected:
-
-    void run(int)
-    {
-        const string imageFilename = string(ts->get_data_path()) + IMAGE_TSUKUBA;
-
-        // Read test data
-        Mat image0 = imread(imageFilename), image1, mask1;
-        if(image0.empty())
-        {
-            ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imageFilename.c_str());
-            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
-            return;
-        }
-
-        vector<KeyPoint> keypoints0;
-        Mat descriptors0;
-        featureDetector->detect(image0, keypoints0);
-        removeVerySmallKeypoints(keypoints0);
-        if(keypoints0.size() < 15)
-            CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
-        descriptorExtractor->compute(image0, keypoints0, descriptors0);
-
-        BFMatcher bfmatcher(normType);
-
-        const float minIntersectRatio = 0.5f;
-        const int maxAngle = 360, angleStep = 15;
-        for(int angle = 0; angle < maxAngle; angle += angleStep)
-        {
-            Mat H = rotateImage(image0, static_cast<float>(angle), image1, mask1);
-
-            vector<KeyPoint> keypoints1;
-            rotateKeyPoints(keypoints0, H, static_cast<float>(angle), keypoints1);
-            Mat descriptors1;
-            descriptorExtractor->compute(image1, keypoints1, descriptors1);
-
-            vector<DMatch> descMatches;
-            bfmatcher.match(descriptors0, descriptors1, descMatches);
-
-            int descInliersCount = 0;
-            for(size_t m = 0; m < descMatches.size(); m++)
-            {
-                const KeyPoint& transformed_p0 = keypoints1[descMatches[m].queryIdx];
-                const KeyPoint& p1 = keypoints1[descMatches[m].trainIdx];
-                if(calcIntersectRatio(transformed_p0.pt, 0.5f * transformed_p0.size,
-                                      p1.pt, 0.5f * p1.size) >= minIntersectRatio)
-                {
-                    descInliersCount++;
-                }
-            }
-
-            float descInliersRatio = static_cast<float>(descInliersCount) / keypoints0.size();
-            if(descInliersRatio < minDescInliersRatio)
-            {
-                ts->printf(cvtest::TS::LOG, "Incorrect descInliersRatio: curr = %f, min = %f.\n",
-                           descInliersRatio, minDescInliersRatio);
-                ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
-                return;
-            }
-#if SHOW_DEBUG_LOG
-            std::cout << "descInliersRatio " << static_cast<float>(descInliersCount) / keypoints0.size() << std::endl;
-#endif
-        }
-        ts->set_failed_test_info( cvtest::TS::OK );
-    }
-
-    Ptr<FeatureDetector> featureDetector;
-    Ptr<DescriptorExtractor> descriptorExtractor;
-    int normType;
-    float minDescInliersRatio;
-};
-
-
-class DetectorScaleInvarianceTest : public cvtest::BaseTest
-{
-public:
-    DetectorScaleInvarianceTest(const Ptr<FeatureDetector>& _featureDetector,
-                                float _minKeyPointMatchesRatio,
-                                float _minScaleInliersRatio) :
-        featureDetector(_featureDetector),
-        minKeyPointMatchesRatio(_minKeyPointMatchesRatio),
-        minScaleInliersRatio(_minScaleInliersRatio)
-    {
-        CV_Assert(featureDetector);
-    }
-
-protected:
-
-    void run(int)
-    {
-        const string imageFilename = string(ts->get_data_path()) + IMAGE_BIKES;
-
-        // Read test data
-        Mat image0 = imread(imageFilename);
-        if(image0.empty())
-        {
-            ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imageFilename.c_str());
-            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
-            return;
-        }
-
-        vector<KeyPoint> keypoints0;
-        featureDetector->detect(image0, keypoints0);
-        removeVerySmallKeypoints(keypoints0);
-        if(keypoints0.size() < 15)
-            CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
-
-        for(int scaleIdx = 1; scaleIdx <= 3; scaleIdx++)
-        {
-            float scale = 1.f + scaleIdx * 0.5f;
-            Mat image1;
-            resize(image0, image1, Size(), 1./scale, 1./scale);
-
-            vector<KeyPoint> keypoints1, osiKeypoints1; // osi - original size image
-            featureDetector->detect(image1, keypoints1);
-            removeVerySmallKeypoints(keypoints1);
-            if(keypoints1.size() < 15)
-                CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
-
-            if(keypoints1.size() > keypoints0.size())
-            {
-                ts->printf(cvtest::TS::LOG, "Strange behavior of the detector. "
-                    "It gives more points count in an image of the smaller size.\n"
-                    "original size (%d, %d), keypoints count = %d\n"
-                    "reduced size (%d, %d), keypoints count = %d\n",
-                    image0.cols, image0.rows, keypoints0.size(),
-                    image1.cols, image1.rows, keypoints1.size());
-                ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
-                return;
-            }
-
-            scaleKeyPoints(keypoints1, osiKeypoints1, scale);
-
-            vector<DMatch> matches;
-            // image1 is query image (it's reduced image0)
-            // image0 is train image
-            matchKeyPoints(osiKeypoints1, Mat(), keypoints0, matches);
-
-            const float minIntersectRatio = 0.5f;
-            int keyPointMatchesCount = 0;
-            int scaleInliersCount = 0;
-
-            for(size_t m = 0; m < matches.size(); m++)
-            {
-                if(matches[m].distance < minIntersectRatio)
-                    continue;
-
-                keyPointMatchesCount++;
-
-                // Check does this inlier have consistent sizes
-                const float maxSizeDiff = 0.8f;//0.9f; // grad
-                float size0 = keypoints0[matches[m].trainIdx].size;
-                float size1 = osiKeypoints1[matches[m].queryIdx].size;
-                CV_Assert(size0 > 0 && size1 > 0);
-                if(std::min(size0, size1) > maxSizeDiff * std::max(size0, size1))
-                    scaleInliersCount++;
-            }
-
-            float keyPointMatchesRatio = static_cast<float>(keyPointMatchesCount) / keypoints1.size();
-            if(keyPointMatchesRatio < minKeyPointMatchesRatio)
-            {
-                ts->printf(cvtest::TS::LOG, "Incorrect keyPointMatchesRatio: curr = %f, min = %f.\n",
-                           keyPointMatchesRatio, minKeyPointMatchesRatio);
-                ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
-                return;
-            }
-
-            if(keyPointMatchesCount)
-            {
-                float scaleInliersRatio = static_cast<float>(scaleInliersCount) / keyPointMatchesCount;
-                if(scaleInliersRatio < minScaleInliersRatio)
-                {
-                    ts->printf(cvtest::TS::LOG, "Incorrect scaleInliersRatio: curr = %f, min = %f.\n",
-                               scaleInliersRatio, minScaleInliersRatio);
-                    ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
-                    return;
-                }
-            }
-#if SHOW_DEBUG_LOG
-            std::cout << "keyPointMatchesRatio - " << keyPointMatchesRatio
-                << " - scaleInliersRatio " << static_cast<float>(scaleInliersCount) / keyPointMatchesCount << std::endl;
-#endif
-        }
-        ts->set_failed_test_info( cvtest::TS::OK );
-    }
-
-    Ptr<FeatureDetector> featureDetector;
-    float minKeyPointMatchesRatio;
-    float minScaleInliersRatio;
-};
-
-class DescriptorScaleInvarianceTest : public cvtest::BaseTest
-{
-public:
-    DescriptorScaleInvarianceTest(const Ptr<FeatureDetector>& _featureDetector,
-                                const Ptr<DescriptorExtractor>& _descriptorExtractor,
-                                int _normType,
-                                float _minDescInliersRatio) :
-        featureDetector(_featureDetector),
-        descriptorExtractor(_descriptorExtractor),
-        normType(_normType),
-        minDescInliersRatio(_minDescInliersRatio)
-    {
-        CV_Assert(featureDetector);
-        CV_Assert(descriptorExtractor);
-    }
-
-protected:
-
-    void run(int)
-    {
-        const string imageFilename = string(ts->get_data_path()) + IMAGE_BIKES;
-
-        // Read test data
-        Mat image0 = imread(imageFilename);
-        if(image0.empty())
-        {
-            ts->printf(cvtest::TS::LOG, "Image %s can not be read.\n", imageFilename.c_str());
-            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
-            return;
-        }
-
-        vector<KeyPoint> keypoints0;
-        featureDetector->detect(image0, keypoints0);
-        removeVerySmallKeypoints(keypoints0);
-        if(keypoints0.size() < 15)
-            CV_Error(Error::StsAssert, "Detector gives too few points in a test image\n");
-        Mat descriptors0;
-        descriptorExtractor->compute(image0, keypoints0, descriptors0);
-
-        BFMatcher bfmatcher(normType);
-        for(int scaleIdx = 1; scaleIdx <= 3; scaleIdx++)
-        {
-            float scale = 1.f + scaleIdx * 0.5f;
-
-            Mat image1;
-            resize(image0, image1, Size(), 1./scale, 1./scale);
-
-            vector<KeyPoint> keypoints1;
-            scaleKeyPoints(keypoints0, keypoints1, 1.0f/scale);
-            Mat descriptors1;
-            descriptorExtractor->compute(image1, keypoints1, descriptors1);
-
-            vector<DMatch> descMatches;
-            bfmatcher.match(descriptors0, descriptors1, descMatches);
-
-            const float minIntersectRatio = 0.5f;
-            int descInliersCount = 0;
-            for(size_t m = 0; m < descMatches.size(); m++)
-            {
-                const KeyPoint& transformed_p0 = keypoints0[descMatches[m].queryIdx];
-                const KeyPoint& p1 = keypoints0[descMatches[m].trainIdx];
-                if(calcIntersectRatio(transformed_p0.pt, 0.5f * transformed_p0.size,
-                                      p1.pt, 0.5f * p1.size) >= minIntersectRatio)
-                {
-                    descInliersCount++;
-                }
-            }
-
-            float descInliersRatio = static_cast<float>(descInliersCount) / keypoints0.size();
-            if(descInliersRatio < minDescInliersRatio)
-            {
-                ts->printf(cvtest::TS::LOG, "Incorrect descInliersRatio: curr = %f, min = %f.\n",
-                           descInliersRatio, minDescInliersRatio);
-                ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
-                return;
-            }
-#if SHOW_DEBUG_LOG
-            std::cout << "descInliersRatio " << static_cast<float>(descInliersCount) / keypoints0.size() << std::endl;
-#endif
-        }
-        ts->set_failed_test_info( cvtest::TS::OK );
-    }
-
-    Ptr<FeatureDetector> featureDetector;
-    Ptr<DescriptorExtractor> descriptorExtractor;
-    int normType;
-    float minKeyPointMatchesRatio;
-    float minDescInliersRatio;
-};
-
-// Tests registration
-
-/*
- * Detector's rotation invariance check
- */
-TEST(Features2d_RotationInvariance_Detector_SURF, regression)
-{
-    DetectorRotationInvarianceTest test(Algorithm::create<FeatureDetector>("Feature2D.SURF"),
-                                        0.44f,
-                                        0.76f);
-    test.safe_run();
-}
-
-TEST(Features2d_RotationInvariance_Detector_SIFT, DISABLED_regression)
-{
-    DetectorRotationInvarianceTest test(Algorithm::create<FeatureDetector>("Feature2D.SIFT"),
-                                        0.45f,
-                                        0.70f);
-    test.safe_run();
-}
-
-/*
- * Descriptors's rotation invariance check
- */
-TEST(Features2d_RotationInvariance_Descriptor_SURF, regression)
-{
-    DescriptorRotationInvarianceTest test(Algorithm::create<FeatureDetector>("Feature2D.SURF"),
-                                          Algorithm::create<DescriptorExtractor>("Feature2D.SURF"),
-                                          NORM_L1,
-                                          0.83f);
-    test.safe_run();
-}
-
-TEST(Features2d_RotationInvariance_Descriptor_SIFT, regression)
-{
-    DescriptorRotationInvarianceTest test(Algorithm::create<FeatureDetector>("Feature2D.SIFT"),
-                                          Algorithm::create<DescriptorExtractor>("Feature2D.SIFT"),
-                                          NORM_L1,
-                                          0.98f);
-    test.safe_run();
-}
-
-/*
- * Detector's scale invariance check
- */
-TEST(Features2d_ScaleInvariance_Detector_SURF, regression)
-{
-    DetectorScaleInvarianceTest test(Algorithm::create<FeatureDetector>("Feature2D.SURF"),
-                                     0.64f,
-                                     0.84f);
-    test.safe_run();
-}
-
-TEST(Features2d_ScaleInvariance_Detector_SIFT, regression)
-{
-    DetectorScaleInvarianceTest test(Algorithm::create<FeatureDetector>("Feature2D.SIFT"),
-                                     0.69f,
-                                     0.99f);
-    test.safe_run();
-}
-
-/*
- * Descriptor's scale invariance check
- */
-TEST(Features2d_ScaleInvariance_Descriptor_SURF, regression)
-{
-    DescriptorScaleInvarianceTest test(Algorithm::create<FeatureDetector>("Feature2D.SURF"),
-                                       Algorithm::create<DescriptorExtractor>("Feature2D.SURF"),
-                                       NORM_L1,
-                                       0.61f);
-    test.safe_run();
-}
-
-TEST(Features2d_ScaleInvariance_Descriptor_SIFT, regression)
-{
-    DescriptorScaleInvarianceTest test(Algorithm::create<FeatureDetector>("Feature2D.SIFT"),
-                                       Algorithm::create<DescriptorExtractor>("Feature2D.SIFT"),
-                                       NORM_L1,
-                                       0.78f);
-    test.safe_run();
-}
-
-
-TEST(Features2d_RotationInvariance2_Detector_SURF, regression)
-{
-    Mat cross(100, 100, CV_8UC1, Scalar(255));
-    line(cross, Point(30, 50), Point(69, 50), Scalar(100), 3);
-    line(cross, Point(50, 30), Point(50, 69), Scalar(100), 3);
-
-    SURF surf(8000., 3, 4, true, false);
-
-    vector<KeyPoint> keypoints;
-
-    surf(cross, noArray(), keypoints);
-
-    ASSERT_EQ(keypoints.size(), (vector<KeyPoint>::size_type) 5);
-    ASSERT_LT( fabs(keypoints[1].response - keypoints[2].response), 1e-6);
-    ASSERT_LT( fabs(keypoints[1].response - keypoints[3].response), 1e-6);
-    ASSERT_LT( fabs(keypoints[1].response - keypoints[4].response), 1e-6);
-}
diff --git a/modules/nonfree/test/test_surf.cuda.cpp b/modules/nonfree/test/test_surf.cuda.cpp
deleted file mode 100644
index 4011f3cc3f..0000000000
--- a/modules/nonfree/test/test_surf.cuda.cpp
+++ /dev/null
@@ -1,198 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
-// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors "as is" and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "test_precomp.hpp"
-
-#ifdef HAVE_CUDA
-
-using namespace cvtest;
-
-/////////////////////////////////////////////////////////////////////////////////////////////////
-// SURF
-
-#ifdef HAVE_OPENCV_CUDAARITHM
-
-namespace
-{
-    IMPLEMENT_PARAM_CLASS(SURF_HessianThreshold, double)
-    IMPLEMENT_PARAM_CLASS(SURF_Octaves, int)
-    IMPLEMENT_PARAM_CLASS(SURF_OctaveLayers, int)
-    IMPLEMENT_PARAM_CLASS(SURF_Extended, bool)
-    IMPLEMENT_PARAM_CLASS(SURF_Upright, bool)
-}
-
-PARAM_TEST_CASE(SURF, SURF_HessianThreshold, SURF_Octaves, SURF_OctaveLayers, SURF_Extended, SURF_Upright)
-{
-    double hessianThreshold;
-    int nOctaves;
-    int nOctaveLayers;
-    bool extended;
-    bool upright;
-
-    virtual void SetUp()
-    {
-        hessianThreshold = GET_PARAM(0);
-        nOctaves = GET_PARAM(1);
-        nOctaveLayers = GET_PARAM(2);
-        extended = GET_PARAM(3);
-        upright = GET_PARAM(4);
-    }
-};
-
-CUDA_TEST_P(SURF, Detector)
-{
-    cv::Mat image = readImage("../gpu/features2d/aloe.png", cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(image.empty());
-
-    cv::cuda::SURF_CUDA surf;
-    surf.hessianThreshold = hessianThreshold;
-    surf.nOctaves = nOctaves;
-    surf.nOctaveLayers = nOctaveLayers;
-    surf.extended = extended;
-    surf.upright = upright;
-    surf.keypointsRatio = 0.05f;
-
-    std::vector<cv::KeyPoint> keypoints;
-    surf(loadMat(image), cv::cuda::GpuMat(), keypoints);
-
-    cv::SURF surf_gold;
-    surf_gold.hessianThreshold = hessianThreshold;
-    surf_gold.nOctaves = nOctaves;
-    surf_gold.nOctaveLayers = nOctaveLayers;
-    surf_gold.extended = extended;
-    surf_gold.upright = upright;
-
-    std::vector<cv::KeyPoint> keypoints_gold;
-    surf_gold(image, cv::noArray(), keypoints_gold);
-
-    ASSERT_EQ(keypoints_gold.size(), keypoints.size());
-    int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
-    double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
-
-    EXPECT_GT(matchedRatio, 0.95);
-}
-
-CUDA_TEST_P(SURF, Detector_Masked)
-{
-    cv::Mat image = readImage("../gpu/features2d/aloe.png", cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(image.empty());
-
-    cv::Mat mask(image.size(), CV_8UC1, cv::Scalar::all(1));
-    mask(cv::Range(0, image.rows / 2), cv::Range(0, image.cols / 2)).setTo(cv::Scalar::all(0));
-
-    cv::cuda::SURF_CUDA surf;
-    surf.hessianThreshold = hessianThreshold;
-    surf.nOctaves = nOctaves;
-    surf.nOctaveLayers = nOctaveLayers;
-    surf.extended = extended;
-    surf.upright = upright;
-    surf.keypointsRatio = 0.05f;
-
-    std::vector<cv::KeyPoint> keypoints;
-    surf(loadMat(image), loadMat(mask), keypoints);
-
-    cv::SURF surf_gold;
-    surf_gold.hessianThreshold = hessianThreshold;
-    surf_gold.nOctaves = nOctaves;
-    surf_gold.nOctaveLayers = nOctaveLayers;
-    surf_gold.extended = extended;
-    surf_gold.upright = upright;
-
-    std::vector<cv::KeyPoint> keypoints_gold;
-    surf_gold(image, mask, keypoints_gold);
-
-    ASSERT_EQ(keypoints_gold.size(), keypoints.size());
-    int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
-    double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
-
-    EXPECT_GT(matchedRatio, 0.95);
-}
-
-CUDA_TEST_P(SURF, Descriptor)
-{
-    cv::Mat image = readImage("../gpu/features2d/aloe.png", cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(image.empty());
-
-    cv::cuda::SURF_CUDA surf;
-    surf.hessianThreshold = hessianThreshold;
-    surf.nOctaves = nOctaves;
-    surf.nOctaveLayers = nOctaveLayers;
-    surf.extended = extended;
-    surf.upright = upright;
-    surf.keypointsRatio = 0.05f;
-
-    cv::SURF surf_gold;
-    surf_gold.hessianThreshold = hessianThreshold;
-    surf_gold.nOctaves = nOctaves;
-    surf_gold.nOctaveLayers = nOctaveLayers;
-    surf_gold.extended = extended;
-    surf_gold.upright = upright;
-
-    std::vector<cv::KeyPoint> keypoints;
-    surf_gold(image, cv::noArray(), keypoints);
-
-    cv::cuda::GpuMat descriptors;
-    surf(loadMat(image), cv::cuda::GpuMat(), keypoints, descriptors, true);
-
-    cv::Mat descriptors_gold;
-    surf_gold(image, cv::noArray(), keypoints, descriptors_gold, true);
-
-    cv::BFMatcher matcher(surf.defaultNorm());
-    std::vector<cv::DMatch> matches;
-    matcher.match(descriptors_gold, cv::Mat(descriptors), matches);
-
-    int matchedCount = getMatchedPointsCount(keypoints, keypoints, matches);
-    double matchedRatio = static_cast<double>(matchedCount) / keypoints.size();
-
-    EXPECT_GT(matchedRatio, 0.6);
-}
-
-INSTANTIATE_TEST_CASE_P(CUDA_Features2D, SURF, testing::Combine(
-    testing::Values(SURF_HessianThreshold(100.0), SURF_HessianThreshold(500.0), SURF_HessianThreshold(1000.0)),
-    testing::Values(SURF_Octaves(3), SURF_Octaves(4)),
-    testing::Values(SURF_OctaveLayers(2), SURF_OctaveLayers(3)),
-    testing::Values(SURF_Extended(false), SURF_Extended(true)),
-    testing::Values(SURF_Upright(false), SURF_Upright(true))));
-
-#endif // HAVE_OPENCV_CUDAARITHM
-
-#endif // HAVE_CUDA
diff --git a/modules/nonfree/test/test_surf.ocl.cpp b/modules/nonfree/test/test_surf.ocl.cpp
deleted file mode 100644
index 217460a79d..0000000000
--- a/modules/nonfree/test/test_surf.ocl.cpp
+++ /dev/null
@@ -1,215 +0,0 @@
-/*M///////////////////////////////////////////////////////////////////////////////////////
-//
-//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
-//
-//  By downloading, copying, installing or using the software you agree to this license.
-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
-//
-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
-//
-// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
-// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
-// Third party copyrights are property of their respective owners.
-//
-// @Authors
-//    Peng Xiao, pengxiao@multicorewareinc.com
-//
-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
-//
-//   * Redistribution's of source code must retain the above copyright notice,
-//     this list of conditions and the following disclaimer.
-//
-//   * Redistribution's in binary form must reproduce the above copyright notice,
-//     this list of conditions and the following disclaimer in the documentation
-//     and/or other materials provided with the distribution.
-//
-//   * The name of the copyright holders may not be used to endorse or promote products
-//     derived from this software without specific prior written permission.
-//
-// This software is provided by the copyright holders and contributors as is and
-// any express or implied warranties, including, but not limited to, the implied
-// warranties of merchantability and fitness for a particular purpose are disclaimed.
-// In no event shall the Intel Corporation or contributors be liable for any direct,
-// indirect, incidental, special, exemplary, or consequential damages
-// (including, but not limited to, procurement of substitute goods or services;
-// loss of use, data, or profits; or business interruption) however caused
-// and on any theory of liability, whether in contract, strict liability,
-// or tort (including negligence or otherwise) arising in any way out of
-// the use of this software, even if advised of the possibility of such damage.
-//
-//M*/
-
-#include "test_precomp.hpp"
-
-#ifdef HAVE_OPENCV_OCL
-
-using namespace std;
-using std::tr1::get;
-
-static bool keyPointsEquals(const cv::KeyPoint& p1, const cv::KeyPoint& p2)
-{
-    const double maxPtDif = 0.1;
-    const double maxSizeDif = 0.1;
-    const double maxAngleDif = 0.1;
-    const double maxResponseDif = 0.01;
-
-    double dist = cv::norm(p1.pt - p2.pt);
-
-    if (dist < maxPtDif &&
-        fabs(p1.size - p2.size) < maxSizeDif &&
-        abs(p1.angle - p2.angle) < maxAngleDif &&
-        abs(p1.response - p2.response) < maxResponseDif &&
-        p1.octave == p2.octave &&
-        p1.class_id == p2.class_id)
-    {
-        return true;
-    }
-
-    return false;
-}
-
-static int getMatchedPointsCount(std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual)
-{
-    std::sort(actual.begin(), actual.end(), perf::comparators::KeypointGreater());
-    std::sort(gold.begin(), gold.end(), perf::comparators::KeypointGreater());
-
-    int validCount = 0;
-
-    for (size_t i = 0; i < gold.size(); ++i)
-    {
-        const cv::KeyPoint& p1 = gold[i];
-        const cv::KeyPoint& p2 = actual[i];
-
-        if (keyPointsEquals(p1, p2))
-            ++validCount;
-    }
-
-    return validCount;
-}
-
-static int getMatchedPointsCount(const std::vector<cv::KeyPoint>& keypoints1, const std::vector<cv::KeyPoint>& keypoints2, const std::vector<cv::DMatch>& matches)
-{
-    int validCount = 0;
-
-    for (size_t i = 0; i < matches.size(); ++i)
-    {
-        const cv::DMatch& m = matches[i];
-
-        const cv::KeyPoint& p1 = keypoints1[m.queryIdx];
-        const cv::KeyPoint& p2 = keypoints2[m.trainIdx];
-
-        if (keyPointsEquals(p1, p2))
-            ++validCount;
-    }
-
-    return validCount;
-}
-
-IMPLEMENT_PARAM_CLASS(HessianThreshold, double)
-IMPLEMENT_PARAM_CLASS(Octaves, int)
-IMPLEMENT_PARAM_CLASS(OctaveLayers, int)
-IMPLEMENT_PARAM_CLASS(Extended, bool)
-IMPLEMENT_PARAM_CLASS(Upright, bool)
-
-PARAM_TEST_CASE(SURF, HessianThreshold, Octaves, OctaveLayers, Extended, Upright)
-{
-    double hessianThreshold;
-    int nOctaves;
-    int nOctaveLayers;
-    bool extended;
-    bool upright;
-
-    virtual void SetUp()
-    {
-        hessianThreshold = get<0>(GetParam());
-        nOctaves = get<1>(GetParam());
-        nOctaveLayers = get<2>(GetParam());
-        extended = get<3>(GetParam());
-        upright = get<4>(GetParam());
-    }
-};
-
-TEST_P(SURF, DISABLED_Detector)
-{
-    cv::Mat image  = cv::imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/fruits.png", cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(image.empty());
-
-    cv::ocl::SURF_OCL surf;
-    surf.hessianThreshold = static_cast<float>(hessianThreshold);
-    surf.nOctaves = nOctaves;
-    surf.nOctaveLayers = nOctaveLayers;
-    surf.extended = extended;
-    surf.upright = upright;
-    surf.keypointsRatio = 0.05f;
-
-    std::vector<cv::KeyPoint> keypoints;
-    surf(cv::ocl::oclMat(image), cv::ocl::oclMat(), keypoints);
-
-    cv::SURF surf_gold;
-    surf_gold.hessianThreshold = hessianThreshold;
-    surf_gold.nOctaves = nOctaves;
-    surf_gold.nOctaveLayers = nOctaveLayers;
-    surf_gold.extended = extended;
-    surf_gold.upright = upright;
-
-    std::vector<cv::KeyPoint> keypoints_gold;
-    surf_gold(image, cv::noArray(), keypoints_gold);
-
-    ASSERT_EQ(keypoints_gold.size(), keypoints.size());
-    int matchedCount = getMatchedPointsCount(keypoints_gold, keypoints);
-    double matchedRatio = static_cast<double>(matchedCount) / keypoints_gold.size();
-
-    EXPECT_GT(matchedRatio, 0.99);
-}
-
-TEST_P(SURF, DISABLED_Descriptor)
-{
-    cv::Mat image  = cv::imread(string(cvtest::TS::ptr()->get_data_path()) + "shared/fruits.png", cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(image.empty());
-
-    cv::ocl::SURF_OCL surf;
-    surf.hessianThreshold = static_cast<float>(hessianThreshold);
-    surf.nOctaves = nOctaves;
-    surf.nOctaveLayers = nOctaveLayers;
-    surf.extended = extended;
-    surf.upright = upright;
-    surf.keypointsRatio = 0.05f;
-
-    cv::SURF surf_gold;
-    surf_gold.hessianThreshold = hessianThreshold;
-    surf_gold.nOctaves = nOctaves;
-    surf_gold.nOctaveLayers = nOctaveLayers;
-    surf_gold.extended = extended;
-    surf_gold.upright = upright;
-
-    std::vector<cv::KeyPoint> keypoints;
-    surf_gold(image, cv::noArray(), keypoints);
-
-    cv::ocl::oclMat descriptors;
-    surf(cv::ocl::oclMat(image), cv::ocl::oclMat(), keypoints, descriptors, true);
-
-    cv::Mat descriptors_gold;
-    surf_gold(image, cv::noArray(), keypoints, descriptors_gold, true);
-
-    cv::BFMatcher matcher(surf.defaultNorm());
-    std::vector<cv::DMatch> matches;
-    matcher.match(descriptors_gold, cv::Mat(descriptors), matches);
-
-    int matchedCount = getMatchedPointsCount(keypoints, keypoints, matches);
-    double matchedRatio = static_cast<double>(matchedCount) / keypoints.size();
-
-    EXPECT_GT(matchedRatio, 0.35);
-}
-
-INSTANTIATE_TEST_CASE_P(OCL_Features2D, SURF, testing::Combine(
-    testing::Values(HessianThreshold(500.0), HessianThreshold(1000.0)),
-    testing::Values(Octaves(3), Octaves(4)),
-    testing::Values(OctaveLayers(2), OctaveLayers(3)),
-    testing::Values(Extended(false), Extended(true)),
-    testing::Values(Upright(false), Upright(true))));
-
-#endif // HAVE_OPENCV_OCL
diff --git a/modules/python/common.cmake b/modules/python/common.cmake
index b7512981dc..164515c72f 100644
--- a/modules/python/common.cmake
+++ b/modules/python/common.cmake
@@ -20,6 +20,7 @@ ocv_list_filterout(candidate_deps "^opencv_matlab$")
 ocv_list_filterout(candidate_deps "^opencv_tracking$")
 ocv_list_filterout(candidate_deps "^opencv_optflow$")
 ocv_list_filterout(candidate_deps "^opencv_bgsegm$")
+ocv_list_filterout(candidate_deps "^opencv_xfeatures2d$")
 
 ocv_add_module(${MODULE_NAME} BINDINGS OPTIONAL ${candidate_deps})
 
diff --git a/modules/stitching/CMakeLists.txt b/modules/stitching/CMakeLists.txt
index 2aeafb263b..e1a61b8010 100644
--- a/modules/stitching/CMakeLists.txt
+++ b/modules/stitching/CMakeLists.txt
@@ -1,3 +1,3 @@
 set(the_description "Images stitching")
 ocv_define_module(stitching opencv_imgproc opencv_features2d opencv_calib3d opencv_objdetect
-                  OPTIONAL opencv_cuda opencv_cudaarithm opencv_cudafilters opencv_cudafeatures2d opencv_nonfree)
+                  OPTIONAL opencv_cuda opencv_cudaarithm opencv_cudafilters opencv_cudafeatures2d)
diff --git a/samples/cpp/CMakeLists.txt b/samples/cpp/CMakeLists.txt
index 26acad1452..a163d90134 100644
--- a/samples/cpp/CMakeLists.txt
+++ b/samples/cpp/CMakeLists.txt
@@ -5,7 +5,7 @@
 
 SET(OPENCV_CPP_SAMPLES_REQUIRED_DEPS opencv_core opencv_imgproc opencv_flann
     opencv_imgcodecs opencv_videoio opencv_highgui opencv_ml opencv_video
-    opencv_objdetect opencv_photo opencv_nonfree opencv_features2d opencv_calib3d
+    opencv_objdetect opencv_photo opencv_features2d opencv_calib3d
     opencv_stitching opencv_videostab opencv_shape)
 
 ocv_check_dependencies(${OPENCV_CPP_SAMPLES_REQUIRED_DEPS})
diff --git a/samples/cpp/bagofwords_classification.cpp b/samples/cpp/bagofwords_classification.cpp
deleted file mode 100644
index 1c50a0ec88..0000000000
--- a/samples/cpp/bagofwords_classification.cpp
+++ /dev/null
@@ -1,2611 +0,0 @@
-#include "opencv2/opencv_modules.hpp"
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/imgproc/imgproc.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include "opencv2/nonfree/nonfree.hpp"
-#include "opencv2/ml/ml.hpp"
-
-#include <fstream>
-#include <iostream>
-#include <memory>
-#include <functional>
-
-#if defined WIN32 || defined _WIN32
-#define WIN32_LEAN_AND_MEAN
-#include <windows.h>
-#undef min
-#undef max
-#include "sys/types.h"
-#endif
-#include <sys/stat.h>
-
-#define DEBUG_DESC_PROGRESS
-
-using namespace cv;
-using namespace cv::ml;
-using namespace std;
-
-const string paramsFile = "params.xml";
-const string vocabularyFile = "vocabulary.xml.gz";
-const string bowImageDescriptorsDir = "/bowImageDescriptors";
-const string svmsDir = "/svms";
-const string plotsDir = "/plots";
-
-static void help(char** argv)
-{
-    cout << "\nThis program shows how to read in, train on and produce test results for the PASCAL VOC (Visual Object Challenge) data. \n"
-     << "It shows how to use detectors, descriptors and recognition methods \n"
-        "Using OpenCV version %s\n" << CV_VERSION << "\n"
-     << "Call: \n"
-    << "Format:\n ./" << argv[0] << " [VOC path] [result directory]  \n"
-    << "       or:  \n"
-    << " ./" << argv[0] << " [VOC path] [result directory] [feature detector] [descriptor extractor] [descriptor matcher] \n"
-    << "\n"
-    << "Input parameters: \n"
-    << "[VOC path]             Path to Pascal VOC data (e.g. /home/my/VOCdevkit/VOC2010). Note: VOC2007-VOC2010 are supported. \n"
-    << "[result directory]     Path to result diractory. Following folders will be created in [result directory]: \n"
-    << "                         bowImageDescriptors - to store image descriptors, \n"
-    << "                         svms - to store trained svms, \n"
-    << "                         plots - to store files for plots creating. \n"
-    << "[feature detector]     Feature detector name (e.g. SURF, FAST...) - see createFeatureDetector() function in detectors.cpp \n"
-    << "                         Currently 12/2010, this is FAST, STAR, SIFT, SURF, MSER, GFTT, HARRIS \n"
-    << "[descriptor extractor] Descriptor extractor name (e.g. SURF, SIFT) - see createDescriptorExtractor() function in descriptors.cpp \n"
-    << "                         Currently 12/2010, this is SURF, OpponentSIFT, SIFT, OpponentSURF, BRIEF \n"
-    << "[descriptor matcher]   Descriptor matcher name (e.g. BruteForce) - see createDescriptorMatcher() function in matchers.cpp \n"
-    << "                         Currently 12/2010, this is BruteForce, BruteForce-L1, FlannBased, BruteForce-Hamming, BruteForce-HammingLUT \n"
-    << "\n";
-}
-
-static void makeDir( const string& dir )
-{
-#if defined WIN32 || defined _WIN32
-    CreateDirectory( dir.c_str(), 0 );
-#else
-    mkdir( dir.c_str(), S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH );
-#endif
-}
-
-static void makeUsedDirs( const string& rootPath )
-{
-    makeDir(rootPath + bowImageDescriptorsDir);
-    makeDir(rootPath + svmsDir);
-    makeDir(rootPath + plotsDir);
-}
-
-/****************************************************************************************\
-*                    Classes to work with PASCAL VOC dataset                             *
-\****************************************************************************************/
-//
-// TODO: refactor this part of the code
-//
-
-
-//used to specify the (sub-)dataset over which operations are performed
-enum ObdDatasetType {CV_OBD_TRAIN, CV_OBD_TEST};
-
-class ObdObject
-{
-public:
-    string object_class;
-    Rect boundingBox;
-};
-
-//extended object data specific to VOC
-enum VocPose {CV_VOC_POSE_UNSPECIFIED, CV_VOC_POSE_FRONTAL, CV_VOC_POSE_REAR, CV_VOC_POSE_LEFT, CV_VOC_POSE_RIGHT};
-class VocObjectData
-{
-public:
-    bool difficult;
-    bool occluded;
-    bool truncated;
-    VocPose pose;
-};
-//enum VocDataset {CV_VOC2007, CV_VOC2008, CV_VOC2009, CV_VOC2010};
-enum VocPlotType {CV_VOC_PLOT_SCREEN, CV_VOC_PLOT_PNG};
-enum VocGT {CV_VOC_GT_NONE, CV_VOC_GT_DIFFICULT, CV_VOC_GT_PRESENT};
-enum VocConfCond {CV_VOC_CCOND_RECALL, CV_VOC_CCOND_SCORETHRESH};
-enum VocTask {CV_VOC_TASK_CLASSIFICATION, CV_VOC_TASK_DETECTION};
-
-class ObdImage
-{
-public:
-    ObdImage(string p_id, string p_path) : id(p_id), path(p_path) {}
-    string id;
-    string path;
-};
-
-//used by getDetectorGroundTruth to sort a two dimensional list of floats in descending order
-class ObdScoreIndexSorter
-{
-public:
-    float score;
-    int image_idx;
-    int obj_idx;
-    bool operator < (const ObdScoreIndexSorter& compare) const {return (score < compare.score);}
-};
-
-class VocData
-{
-public:
-    VocData( const string& vocPath, bool useTestDataset )
-        { initVoc( vocPath, useTestDataset ); }
-    ~VocData(){}
-    /* functions for returning classification/object data for multiple images given an object class */
-    void getClassImages(const string& obj_class, const ObdDatasetType dataset, vector<ObdImage>& images, vector<char>& object_present);
-    void getClassObjects(const string& obj_class, const ObdDatasetType dataset, vector<ObdImage>& images, vector<vector<ObdObject> >& objects);
-    void getClassObjects(const string& obj_class, const ObdDatasetType dataset, vector<ObdImage>& images, vector<vector<ObdObject> >& objects, vector<vector<VocObjectData> >& object_data, vector<VocGT>& ground_truth);
-    /* functions for returning object data for a single image given an image id */
-    ObdImage getObjects(const string& id, vector<ObdObject>& objects);
-    ObdImage getObjects(const string& id, vector<ObdObject>& objects, vector<VocObjectData>& object_data);
-    ObdImage getObjects(const string& obj_class, const string& id, vector<ObdObject>& objects, vector<VocObjectData>& object_data, VocGT& ground_truth);
-    /* functions for returning the ground truth (present/absent) for groups of images */
-    void getClassifierGroundTruth(const string& obj_class, const vector<ObdImage>& images, vector<char>& ground_truth);
-    void getClassifierGroundTruth(const string& obj_class, const vector<string>& images, vector<char>& ground_truth);
-    int getDetectorGroundTruth(const string& obj_class, const ObdDatasetType dataset, const vector<ObdImage>& images, const vector<vector<Rect> >& bounding_boxes, const vector<vector<float> >& scores, vector<vector<char> >& ground_truth, vector<vector<char> >& detection_difficult, bool ignore_difficult = true);
-    /* functions for writing VOC-compatible results files */
-    void writeClassifierResultsFile(const string& out_dir, const string& obj_class, const ObdDatasetType dataset, const vector<ObdImage>& images, const vector<float>& scores, const int competition = 1, const bool overwrite_ifexists = false);
-    /* functions for calculating metrics from a set of classification/detection results */
-    string getResultsFilename(const string& obj_class, const VocTask task, const ObdDatasetType dataset, const int competition = -1, const int number = -1);
-    void calcClassifierPrecRecall(const string& obj_class, const vector<ObdImage>& images, const vector<float>& scores, vector<float>& precision, vector<float>& recall, float& ap, vector<size_t>& ranking);
-    void calcClassifierPrecRecall(const string& obj_class, const vector<ObdImage>& images, const vector<float>& scores, vector<float>& precision, vector<float>& recall, float& ap);
-    void calcClassifierPrecRecall(const string& input_file, vector<float>& precision, vector<float>& recall, float& ap, bool outputRankingFile = false);
-    /* functions for calculating confusion matrices */
-    void calcClassifierConfMatRow(const string& obj_class, const vector<ObdImage>& images, const vector<float>& scores, const VocConfCond cond, const float threshold, vector<string>& output_headers, vector<float>& output_values);
-    void calcDetectorConfMatRow(const string& obj_class, const ObdDatasetType dataset, const vector<ObdImage>& images, const vector<vector<float> >& scores, const vector<vector<Rect> >& bounding_boxes, const VocConfCond cond, const float threshold, vector<string>& output_headers, vector<float>& output_values, bool ignore_difficult = true);
-    /* functions for outputting gnuplot output files */
-    void savePrecRecallToGnuplot(const string& output_file, const vector<float>& precision, const vector<float>& recall, const float ap, const string title = string(), const VocPlotType plot_type = CV_VOC_PLOT_SCREEN);
-    /* functions for reading in result/ground truth files */
-    void readClassifierGroundTruth(const string& obj_class, const ObdDatasetType dataset, vector<ObdImage>& images, vector<char>& object_present);
-    void readClassifierResultsFile(const std:: string& input_file, vector<ObdImage>& images, vector<float>& scores);
-    void readDetectorResultsFile(const string& input_file, vector<ObdImage>& images, vector<vector<float> >& scores, vector<vector<Rect> >& bounding_boxes);
-    /* functions for getting dataset info */
-    const vector<string>& getObjectClasses();
-    string getResultsDirectory();
-protected:
-    void initVoc( const string& vocPath, const bool useTestDataset );
-    void initVoc2007to2010( const string& vocPath, const bool useTestDataset);
-    void readClassifierGroundTruth(const string& filename, vector<string>& image_codes, vector<char>& object_present);
-    void readClassifierResultsFile(const string& input_file, vector<string>& image_codes, vector<float>& scores);
-    void readDetectorResultsFile(const string& input_file, vector<string>& image_codes, vector<vector<float> >& scores, vector<vector<Rect> >& bounding_boxes);
-    void extractVocObjects(const string filename, vector<ObdObject>& objects, vector<VocObjectData>& object_data);
-    string getImagePath(const string& input_str);
-
-    void getClassImages_impl(const string& obj_class, const string& dataset_str, vector<ObdImage>& images, vector<char>& object_present);
-    void calcPrecRecall_impl(const vector<char>& ground_truth, const vector<float>& scores, vector<float>& precision, vector<float>& recall, float& ap, vector<size_t>& ranking, int recall_normalization = -1);
-
-    //test two bounding boxes to see if they meet the overlap criteria defined in the VOC documentation
-    float testBoundingBoxesForOverlap(const Rect detection, const Rect ground_truth);
-    //extract class and dataset name from a VOC-standard classification/detection results filename
-    void extractDataFromResultsFilename(const string& input_file, string& class_name, string& dataset_name);
-    //get classifier ground truth for a single image
-    bool getClassifierGroundTruthImage(const string& obj_class, const string& id);
-
-    //utility functions
-    void getSortOrder(const vector<float>& values, vector<size_t>& order, bool descending = true);
-    int stringToInteger(const string input_str);
-    void readFileToString(const string filename, string& file_contents);
-    string integerToString(const int input_int);
-    string checkFilenamePathsep(const string filename, bool add_trailing_slash = false);
-    void convertImageCodesToObdImages(const vector<string>& image_codes, vector<ObdImage>& images);
-    int extractXMLBlock(const string src, const string tag, const int searchpos, string& tag_contents);
-    //utility sorter
-    struct orderingSorter
-    {
-        bool operator ()(std::pair<size_t, vector<float>::const_iterator> const& a, std::pair<size_t, vector<float>::const_iterator> const& b)
-        {
-            return (*a.second) > (*b.second);
-        }
-    };
-    //data members
-    string m_vocPath;
-    string m_vocName;
-    //string m_resPath;
-
-    string m_annotation_path;
-    string m_image_path;
-    string m_imageset_path;
-    string m_class_imageset_path;
-
-    vector<string> m_classifier_gt_all_ids;
-    vector<char> m_classifier_gt_all_present;
-    string m_classifier_gt_class;
-
-    //data members
-    string m_train_set;
-    string m_test_set;
-
-    vector<string> m_object_classes;
-
-
-    float m_min_overlap;
-    bool m_sampled_ap;
-};
-
-
-//Return the classification ground truth data for all images of a given VOC object class
-//--------------------------------------------------------------------------------------
-//INPUTS:
-// - obj_class          The VOC object class identifier string
-// - dataset            Specifies whether to extract images from the training or test set
-//OUTPUTS:
-// - images             An array of ObdImage containing info of all images extracted from the ground truth file
-// - object_present     An array of bools specifying whether the object defined by 'obj_class' is present in each image or not
-//NOTES:
-// This function is primarily useful for the classification task, where only
-// whether a given object is present or not in an image is required, and not each object instance's
-// position etc.
-void VocData::getClassImages(const string& obj_class, const ObdDatasetType dataset, vector<ObdImage>& images, vector<char>& object_present)
-{
-    string dataset_str;
-    //generate the filename of the classification ground-truth textfile for the object class
-    if (dataset == CV_OBD_TRAIN)
-    {
-        dataset_str = m_train_set;
-    } else {
-        dataset_str = m_test_set;
-    }
-
-    getClassImages_impl(obj_class, dataset_str, images, object_present);
-}
-
-void VocData::getClassImages_impl(const string& obj_class, const string& dataset_str, vector<ObdImage>& images, vector<char>& object_present)
-{
-    //generate the filename of the classification ground-truth textfile for the object class
-    string gtFilename = m_class_imageset_path;
-    gtFilename.replace(gtFilename.find("%s"),2,obj_class);
-    gtFilename.replace(gtFilename.find("%s"),2,dataset_str);
-
-    //parse the ground truth file, storing in two separate vectors
-    //for the image code and the ground truth value
-    vector<string> image_codes;
-    readClassifierGroundTruth(gtFilename, image_codes, object_present);
-
-    //prepare output arrays
-    images.clear();
-
-    convertImageCodesToObdImages(image_codes, images);
-}
-
-//Return the object data for all images of a given VOC object class
-//-----------------------------------------------------------------
-//INPUTS:
-// - obj_class          The VOC object class identifier string
-// - dataset            Specifies whether to extract images from the training or test set
-//OUTPUTS:
-// - images             An array of ObdImage containing info of all images in chosen dataset (tag, path etc.)
-// - objects            Contains the extended object info (bounding box etc.) for each object instance in each image
-// - object_data        Contains VOC-specific extended object info (marked difficult etc.)
-// - ground_truth       Specifies whether there are any difficult/non-difficult instances of the current
-//                          object class within each image
-//NOTES:
-// This function returns extended object information in addition to the absent/present
-// classification data returned by getClassImages. The objects returned for each image in the 'objects'
-// array are of all object classes present in the image, and not just the class defined by 'obj_class'.
-// 'ground_truth' can be used to determine quickly whether an object instance of the given class is present
-// in an image or not.
-void VocData::getClassObjects(const string& obj_class, const ObdDatasetType dataset, vector<ObdImage>& images, vector<vector<ObdObject> >& objects)
-{
-    vector<vector<VocObjectData> > object_data;
-    vector<VocGT> ground_truth;
-
-    getClassObjects(obj_class,dataset,images,objects,object_data,ground_truth);
-}
-
-void VocData::getClassObjects(const string& obj_class, const ObdDatasetType dataset, vector<ObdImage>& images, vector<vector<ObdObject> >& objects, vector<vector<VocObjectData> >& object_data, vector<VocGT>& ground_truth)
-{
-    //generate the filename of the classification ground-truth textfile for the object class
-    string gtFilename = m_class_imageset_path;
-    gtFilename.replace(gtFilename.find("%s"),2,obj_class);
-    if (dataset == CV_OBD_TRAIN)
-    {
-        gtFilename.replace(gtFilename.find("%s"),2,m_train_set);
-    } else {
-        gtFilename.replace(gtFilename.find("%s"),2,m_test_set);
-    }
-
-    //parse the ground truth file, storing in two separate vectors
-    //for the image code and the ground truth value
-    vector<string> image_codes;
-    vector<char> object_present;
-    readClassifierGroundTruth(gtFilename, image_codes, object_present);
-
-    //prepare output arrays
-    images.clear();
-    objects.clear();
-    object_data.clear();
-    ground_truth.clear();
-
-    string annotationFilename;
-    vector<ObdObject> image_objects;
-    vector<VocObjectData> image_object_data;
-    VocGT image_gt;
-
-    //transfer to output arrays and read in object data for each image
-    for (size_t i = 0; i < image_codes.size(); ++i)
-    {
-        ObdImage image = getObjects(obj_class, image_codes[i], image_objects, image_object_data, image_gt);
-
-        images.push_back(image);
-        objects.push_back(image_objects);
-        object_data.push_back(image_object_data);
-        ground_truth.push_back(image_gt);
-    }
-}
-
-//Return ground truth data for the objects present in an image with a given UID
-//-----------------------------------------------------------------------------
-//INPUTS:
-// - id                 VOC Dataset unique identifier (string code in form YYYY_XXXXXX where YYYY is the year)
-//OUTPUTS:
-// - obj_class (*3)     Specifies the object class to use to resolve 'ground_truth'
-// - objects            Contains the extended object info (bounding box etc.) for each object in the image
-// - object_data (*2,3) Contains VOC-specific extended object info (marked difficult etc.)
-// - ground_truth (*3)  Specifies whether there are any difficult/non-difficult instances of the current
-//                          object class within the image
-//RETURN VALUE:
-// ObdImage containing path and other details of image file with given code
-//NOTES:
-// There are three versions of this function
-//  * One returns a simple array of objects given an id [1]
-//  * One returns the same as (1) plus VOC specific object data [2]
-//  * One returns the same as (2) plus the ground_truth flag. This also requires an extra input obj_class [3]
-ObdImage VocData::getObjects(const string& id, vector<ObdObject>& objects)
-{
-    vector<VocObjectData> object_data;
-    ObdImage image = getObjects(id, objects, object_data);
-
-    return image;
-}
-
-ObdImage VocData::getObjects(const string& id, vector<ObdObject>& objects, vector<VocObjectData>& object_data)
-{
-    //first generate the filename of the annotation file
-    string annotationFilename = m_annotation_path;
-
-    annotationFilename.replace(annotationFilename.find("%s"),2,id);
-
-    //extract objects contained in the current image from the xml
-    extractVocObjects(annotationFilename,objects,object_data);
-
-    //generate image path from extracted string code
-    string path = getImagePath(id);
-
-    ObdImage image(id, path);
-    return image;
-}
-
-ObdImage VocData::getObjects(const string& obj_class, const string& id, vector<ObdObject>& objects, vector<VocObjectData>& object_data, VocGT& ground_truth)
-{
-
-    //extract object data (except for ground truth flag)
-    ObdImage image = getObjects(id,objects,object_data);
-
-    //pregenerate a flag to indicate whether the current class is present or not in the image
-    ground_truth = CV_VOC_GT_NONE;
-    //iterate through all objects in current image
-    for (size_t j = 0; j < objects.size(); ++j)
-    {
-        if (objects[j].object_class == obj_class)
-        {
-            if (object_data[j].difficult == false)
-            {
-                //if at least one non-difficult example is present, this flag is always set to CV_VOC_GT_PRESENT
-                ground_truth = CV_VOC_GT_PRESENT;
-                break;
-            } else {
-                //set if at least one object instance is present, but it is marked difficult
-                ground_truth = CV_VOC_GT_DIFFICULT;
-            }
-        }
-    }
-
-    return image;
-}
-
-//Return ground truth data for the presence/absence of a given object class in an arbitrary array of images
-//---------------------------------------------------------------------------------------------------------
-//INPUTS:
-// - obj_class          The VOC object class identifier string
-// - images             An array of ObdImage OR strings containing the images for which ground truth
-//                          will be computed
-//OUTPUTS:
-// - ground_truth       An output array indicating the presence/absence of obj_class within each image
-void VocData::getClassifierGroundTruth(const string& obj_class, const vector<ObdImage>& images, vector<char>& ground_truth)
-{
-    vector<char>(images.size()).swap(ground_truth);
-
-    vector<ObdObject> objects;
-    vector<VocObjectData> object_data;
-    vector<char>::iterator gt_it = ground_truth.begin();
-    for (vector<ObdImage>::const_iterator it = images.begin(); it != images.end(); ++it, ++gt_it)
-    {
-        //getObjects(obj_class, it->id, objects, object_data, voc_ground_truth);
-        (*gt_it) = (getClassifierGroundTruthImage(obj_class, it->id));
-    }
-}
-
-void VocData::getClassifierGroundTruth(const string& obj_class, const vector<string>& images, vector<char>& ground_truth)
-{
-    vector<char>(images.size()).swap(ground_truth);
-
-    vector<ObdObject> objects;
-    vector<VocObjectData> object_data;
-    vector<char>::iterator gt_it = ground_truth.begin();
-    for (vector<string>::const_iterator it = images.begin(); it != images.end(); ++it, ++gt_it)
-    {
-        //getObjects(obj_class, (*it), objects, object_data, voc_ground_truth);
-        (*gt_it) = (getClassifierGroundTruthImage(obj_class, (*it)));
-    }
-}
-
-//Return ground truth data for the accuracy of detection results
-//--------------------------------------------------------------
-//INPUTS:
-// - obj_class          The VOC object class identifier string
-// - images             An array of ObdImage containing the images for which ground truth
-//                          will be computed
-// - bounding_boxes     A 2D input array containing the bounding box rects of the objects of
-//                          obj_class which were detected in each image
-//OUTPUTS:
-// - ground_truth       A 2D output array indicating whether each object detection was accurate
-//                          or not
-// - detection_difficult A 2D output array indicating whether the detection fired on an object
-//                          marked as 'difficult'. This allows it to be ignored if necessary
-//                          (the voc documentation specifies objects marked as difficult
-//                          have no effects on the results and are effectively ignored)
-// - (ignore_difficult) If set to true, objects marked as difficult will be ignored when returning
-//                          the number of hits for p-r normalization (default = true)
-//RETURN VALUE:
-//                      Returns the number of object hits in total in the gt to allow proper normalization
-//                          of a p-r curve
-//NOTES:
-// As stated in the VOC documentation, multiple detections of the same object in an image are
-// considered FALSE detections e.g. 5 detections of a single object is counted as 1 correct
-// detection and 4 false detections - it is the responsibility of the participant's system
-// to filter multiple detections from its output
-int VocData::getDetectorGroundTruth(const string& obj_class, const ObdDatasetType dataset, const vector<ObdImage>& images, const vector<vector<Rect> >& bounding_boxes, const vector<vector<float> >& scores, vector<vector<char> >& ground_truth, vector<vector<char> >& detection_difficult, bool ignore_difficult)
-{
-    int recall_normalization = 0;
-
-    /* first create a list of indices referring to the elements of bounding_boxes and scores in
-     * descending order of scores */
-    vector<ObdScoreIndexSorter> sorted_ids;
-    {
-        /* first count how many objects to allow preallocation */
-        size_t obj_count = 0;
-        CV_Assert(images.size() == bounding_boxes.size());
-        CV_Assert(scores.size() == bounding_boxes.size());
-        for (size_t im_idx = 0; im_idx < scores.size(); ++im_idx)
-        {
-            CV_Assert(scores[im_idx].size() == bounding_boxes[im_idx].size());
-            obj_count += scores[im_idx].size();
-        }
-        /* preallocate id vector */
-        sorted_ids.resize(obj_count);
-        /* now copy across scores and indexes to preallocated vector */
-        int flat_pos = 0;
-        for (size_t im_idx = 0; im_idx < scores.size(); ++im_idx)
-        {
-            for (size_t ob_idx = 0; ob_idx < scores[im_idx].size(); ++ob_idx)
-            {
-                sorted_ids[flat_pos].score = scores[im_idx][ob_idx];
-                sorted_ids[flat_pos].image_idx = (int)im_idx;
-                sorted_ids[flat_pos].obj_idx = (int)ob_idx;
-                ++flat_pos;
-            }
-        }
-        /* and sort the vector in descending order of score */
-        std::sort(sorted_ids.begin(),sorted_ids.end());
-        std::reverse(sorted_ids.begin(),sorted_ids.end());
-    }
-
-    /* prepare ground truth + difficult vector (1st dimension) */
-    vector<vector<char> >(images.size()).swap(ground_truth);
-    vector<vector<char> >(images.size()).swap(detection_difficult);
-    vector<vector<char> > detected(images.size());
-
-    vector<vector<ObdObject> > img_objects(images.size());
-    vector<vector<VocObjectData> > img_object_data(images.size());
-    /* preload object ground truth bounding box data */
-    {
-        vector<vector<ObdObject> > img_objects_all(images.size());
-        vector<vector<VocObjectData> > img_object_data_all(images.size());
-        for (size_t image_idx = 0; image_idx < images.size(); ++image_idx)
-        {
-            /* prepopulate ground truth bounding boxes */
-            getObjects(images[image_idx].id, img_objects_all[image_idx], img_object_data_all[image_idx]);
-            /* meanwhile, also set length of target ground truth + difficult vector to same as number of object detections (2nd dimension) */
-            ground_truth[image_idx].resize(bounding_boxes[image_idx].size());
-            detection_difficult[image_idx].resize(bounding_boxes[image_idx].size());
-        }
-
-        /* save only instances of the object class concerned */
-        for (size_t image_idx = 0; image_idx < images.size(); ++image_idx)
-        {
-            for (size_t obj_idx = 0; obj_idx < img_objects_all[image_idx].size(); ++obj_idx)
-            {
-                if (img_objects_all[image_idx][obj_idx].object_class == obj_class)
-                {
-                    img_objects[image_idx].push_back(img_objects_all[image_idx][obj_idx]);
-                    img_object_data[image_idx].push_back(img_object_data_all[image_idx][obj_idx]);
-                }
-            }
-            detected[image_idx].resize(img_objects[image_idx].size(), false);
-        }
-    }
-
-    /* calculate the total number of objects in the ground truth for the current dataset */
-    {
-        vector<ObdImage> gt_images;
-        vector<char> gt_object_present;
-        getClassImages(obj_class, dataset, gt_images, gt_object_present);
-
-        for (size_t image_idx = 0; image_idx < gt_images.size(); ++image_idx)
-        {
-            vector<ObdObject> gt_img_objects;
-            vector<VocObjectData> gt_img_object_data;
-            getObjects(gt_images[image_idx].id, gt_img_objects, gt_img_object_data);
-            for (size_t obj_idx = 0; obj_idx < gt_img_objects.size(); ++obj_idx)
-            {
-                if (gt_img_objects[obj_idx].object_class == obj_class)
-                {
-                    if ((gt_img_object_data[obj_idx].difficult == false) || (ignore_difficult == false))
-                        ++recall_normalization;
-                }
-            }
-        }
-    }
-
-#ifdef PR_DEBUG
-    int printed_count = 0;
-#endif
-    /* now iterate through detections in descending order of score, assigning to ground truth bounding boxes if possible */
-    for (size_t detect_idx = 0; detect_idx < sorted_ids.size(); ++detect_idx)
-    {
-        //read in indexes to make following code easier to read
-        int im_idx = sorted_ids[detect_idx].image_idx;
-        int ob_idx = sorted_ids[detect_idx].obj_idx;
-        //set ground truth for the current object to false by default
-        ground_truth[im_idx][ob_idx] = false;
-        detection_difficult[im_idx][ob_idx] = false;
-        float maxov = -1.0;
-        bool max_is_difficult = false;
-        int max_gt_obj_idx = -1;
-        //-- for each detected object iterate through objects present in the bounding box ground truth --
-        for (size_t gt_obj_idx = 0; gt_obj_idx < img_objects[im_idx].size(); ++gt_obj_idx)
-        {
-            if (detected[im_idx][gt_obj_idx] == false)
-            {
-                //check if the detected object and ground truth object overlap by a sufficient margin
-                float ov = testBoundingBoxesForOverlap(bounding_boxes[im_idx][ob_idx], img_objects[im_idx][gt_obj_idx].boundingBox);
-                if (ov != -1.0)
-                {
-                    //if all conditions are met store the overlap score and index (as objects are assigned to the highest scoring match)
-                    if (ov > maxov)
-                    {
-                        maxov = ov;
-                        max_gt_obj_idx = (int)gt_obj_idx;
-                        //store whether the maximum detection is marked as difficult or not
-                        max_is_difficult = (img_object_data[im_idx][gt_obj_idx].difficult);
-                    }
-                }
-            }
-        }
-        //-- if a match was found, set the ground truth of the current object to true --
-        if (maxov != -1.0)
-        {
-            CV_Assert(max_gt_obj_idx != -1);
-            ground_truth[im_idx][ob_idx] = true;
-            //store whether the maximum detection was marked as 'difficult' or not
-            detection_difficult[im_idx][ob_idx] = max_is_difficult;
-            //remove the ground truth object so it doesn't match with subsequent detected objects
-            //** this is the behaviour defined by the voc documentation **
-            detected[im_idx][max_gt_obj_idx] = true;
-        }
-#ifdef PR_DEBUG
-        if (printed_count < 10)
-        {
-            cout << printed_count << ": id=" << images[im_idx].id << ", score=" << scores[im_idx][ob_idx] << " (" << ob_idx << ") [" << bounding_boxes[im_idx][ob_idx].x << "," <<
-                    bounding_boxes[im_idx][ob_idx].y << "," << bounding_boxes[im_idx][ob_idx].width + bounding_boxes[im_idx][ob_idx].x <<
-                    "," << bounding_boxes[im_idx][ob_idx].height + bounding_boxes[im_idx][ob_idx].y << "] detected=" << ground_truth[im_idx][ob_idx] <<
-                    ", difficult=" << detection_difficult[im_idx][ob_idx] << endl;
-            ++printed_count;
-            /* print ground truth */
-            for (int gt_obj_idx = 0; gt_obj_idx < img_objects[im_idx].size(); ++gt_obj_idx)
-            {
-                cout << "    GT: [" << img_objects[im_idx][gt_obj_idx].boundingBox.x << "," <<
-                        img_objects[im_idx][gt_obj_idx].boundingBox.y << "," << img_objects[im_idx][gt_obj_idx].boundingBox.width + img_objects[im_idx][gt_obj_idx].boundingBox.x <<
-                        "," << img_objects[im_idx][gt_obj_idx].boundingBox.height + img_objects[im_idx][gt_obj_idx].boundingBox.y << "]";
-                if (gt_obj_idx == max_gt_obj_idx) cout << " <--- (" << maxov << " overlap)";
-                cout << endl;
-            }
-        }
-#endif
-    }
-
-    return recall_normalization;
-}
-
-//Write VOC-compliant classifier results file
-//-------------------------------------------
-//INPUTS:
-// - obj_class          The VOC object class identifier string
-// - dataset            Specifies whether working with the training or test set
-// - images             An array of ObdImage containing the images for which data will be saved to the result file
-// - scores             A corresponding array of confidence scores given a query
-// - (competition)      If specified, defines which competition the results are for (see VOC documentation - default 1)
-//NOTES:
-// The result file path and filename are determined automatically using m_results_directory as a base
-void VocData::writeClassifierResultsFile( const string& out_dir, const string& obj_class, const ObdDatasetType dataset, const vector<ObdImage>& images, const vector<float>& scores, const int competition, const bool overwrite_ifexists)
-{
-    CV_Assert(images.size() == scores.size());
-
-    string output_file_base, output_file;
-    if (dataset == CV_OBD_TRAIN)
-    {
-        output_file_base = out_dir + "/comp" + integerToString(competition) + "_cls_" + m_train_set + "_" + obj_class;
-    } else {
-        output_file_base = out_dir + "/comp" + integerToString(competition) + "_cls_" + m_test_set + "_" + obj_class;
-    }
-    output_file = output_file_base + ".txt";
-
-    //check if file exists, and if so create a numbered new file instead
-    if (overwrite_ifexists == false)
-    {
-        struct stat stFileInfo;
-        if (stat(output_file.c_str(),&stFileInfo) == 0)
-        {
-            string output_file_new;
-            int filenum = 0;
-            do
-            {
-                ++filenum;
-                output_file_new = output_file_base + "_" + integerToString(filenum);
-                output_file = output_file_new + ".txt";
-            } while (stat(output_file.c_str(),&stFileInfo) == 0);
-        }
-    }
-
-    //output data to file
-    std::ofstream result_file(output_file.c_str());
-    if (result_file.is_open())
-    {
-        for (size_t i = 0; i < images.size(); ++i)
-        {
-            result_file << images[i].id << " " << scores[i] << endl;
-        }
-        result_file.close();
-    } else {
-        string err_msg = "could not open classifier results file '" + output_file + "' for writing. Before running for the first time, a 'results' subdirectory should be created within the VOC dataset base directory. e.g. if the VOC data is stored in /VOC/VOC2010 then the path /VOC/results must be created.";
-        CV_Error(Error::StsError,err_msg.c_str());
-    }
-}
-
-//---------------------------------------
-//CALCULATE METRICS FROM VOC RESULTS DATA
-//---------------------------------------
-
-//Utility function to construct a VOC-standard classification results filename
-//----------------------------------------------------------------------------
-//INPUTS:
-// - obj_class          The VOC object class identifier string
-// - task               Specifies whether to generate a filename for the classification or detection task
-// - dataset            Specifies whether working with the training or test set
-// - (competition)      If specified, defines which competition the results are for (see VOC documentation
-//                      default of -1 means this is set to 1 for the classification task and 3 for the detection task)
-// - (number)           If specified and above 0, defines which of a number of duplicate results file produced for a given set of
-//                      of settings should be used (this number will be added as a postfix to the filename)
-//NOTES:
-// This is primarily useful for returning the filename of a classification file previously computed using writeClassifierResultsFile
-// for example when calling calcClassifierPrecRecall
-string VocData::getResultsFilename(const string& obj_class, const VocTask task, const ObdDatasetType dataset, const int competition, const int number)
-{
-    if ((competition < 1) && (competition != -1))
-        CV_Error(Error::StsBadArg,"competition argument should be a positive non-zero number or -1 to accept the default");
-    if ((number < 1) && (number != -1))
-        CV_Error(Error::StsBadArg,"number argument should be a positive non-zero number or -1 to accept the default");
-
-    string dset, task_type;
-
-    if (dataset == CV_OBD_TRAIN)
-    {
-        dset = m_train_set;
-    } else {
-        dset = m_test_set;
-    }
-
-    int comp = competition;
-    if (task == CV_VOC_TASK_CLASSIFICATION)
-    {
-        task_type = "cls";
-        if (comp == -1) comp = 1;
-    } else {
-        task_type = "det";
-        if (comp == -1) comp = 3;
-    }
-
-    stringstream ss;
-    if (number < 1)
-    {
-        ss << "comp" << comp << "_" << task_type << "_" << dset << "_" << obj_class << ".txt";
-    } else {
-        ss << "comp" << comp << "_" << task_type << "_" << dset << "_" << obj_class << "_" << number << ".txt";
-    }
-
-    string filename = ss.str();
-    return filename;
-}
-
-//Calculate metrics for classification results
-//--------------------------------------------
-//INPUTS:
-// - ground_truth       A vector of booleans determining whether the currently tested class is present in each input image
-// - scores             A vector containing the similarity score for each input image (higher is more similar)
-//OUTPUTS:
-// - precision          A vector containing the precision calculated at each datapoint of a p-r curve generated from the result set
-// - recall             A vector containing the recall calculated at each datapoint of a p-r curve generated from the result set
-// - ap                The ap metric calculated from the result set
-// - (ranking)          A vector of the same length as 'ground_truth' and 'scores' containing the order of the indices in both of
-//                      these arrays when sorting by the ranking score in descending order
-//NOTES:
-// The result file path and filename are determined automatically using m_results_directory as a base
-void VocData::calcClassifierPrecRecall(const string& obj_class, const vector<ObdImage>& images, const vector<float>& scores, vector<float>& precision, vector<float>& recall, float& ap, vector<size_t>& ranking)
-{
-    vector<char> res_ground_truth;
-    getClassifierGroundTruth(obj_class, images, res_ground_truth);
-
-    calcPrecRecall_impl(res_ground_truth, scores, precision, recall, ap, ranking);
-}
-
-void VocData::calcClassifierPrecRecall(const string& obj_class, const vector<ObdImage>& images, const vector<float>& scores, vector<float>& precision, vector<float>& recall, float& ap)
-{
-    vector<char> res_ground_truth;
-    getClassifierGroundTruth(obj_class, images, res_ground_truth);
-
-    vector<size_t> ranking;
-    calcPrecRecall_impl(res_ground_truth, scores, precision, recall, ap, ranking);
-}
-
-//< Overloaded version which accepts VOC classification result file input instead of array of scores/ground truth >
-//INPUTS:
-// - input_file         The path to the VOC standard results file to use for calculating precision/recall
-//                      If a full path is not specified, it is assumed this file is in the VOC standard results directory
-//                      A VOC standard filename can be retrieved (as used by writeClassifierResultsFile) by calling  getClassifierResultsFilename
-
-void VocData::calcClassifierPrecRecall(const string& input_file, vector<float>& precision, vector<float>& recall, float& ap, bool outputRankingFile)
-{
-    //read in classification results file
-    vector<string> res_image_codes;
-    vector<float> res_scores;
-
-    string input_file_std = checkFilenamePathsep(input_file);
-    readClassifierResultsFile(input_file_std, res_image_codes, res_scores);
-
-    //extract the object class and dataset from the results file filename
-    string class_name, dataset_name;
-    extractDataFromResultsFilename(input_file_std, class_name, dataset_name);
-
-    //generate the ground truth for the images extracted from the results file
-    vector<char> res_ground_truth;
-
-    getClassifierGroundTruth(class_name, res_image_codes, res_ground_truth);
-
-    if (outputRankingFile)
-    {
-        /* 1. store sorting order by score (descending) in 'order' */
-        vector<std::pair<size_t, vector<float>::const_iterator> > order(res_scores.size());
-
-        size_t n = 0;
-        for (vector<float>::const_iterator it = res_scores.begin(); it != res_scores.end(); ++it, ++n)
-            order[n] = make_pair(n, it);
-
-        std::sort(order.begin(),order.end(),orderingSorter());
-
-        /* 2. save ranking results to text file */
-        string input_file_std1 = checkFilenamePathsep(input_file);
-        size_t fnamestart = input_file_std1.rfind("/");
-        string scoregt_file_str = input_file_std1.substr(0,fnamestart+1) + "scoregt_" + class_name + ".txt";
-        std::ofstream scoregt_file(scoregt_file_str.c_str());
-        if (scoregt_file.is_open())
-        {
-            for (size_t i = 0; i < res_scores.size(); ++i)
-            {
-                scoregt_file << res_image_codes[order[i].first] << " " << res_scores[order[i].first] << " " << res_ground_truth[order[i].first] << endl;
-            }
-            scoregt_file.close();
-        } else {
-            string err_msg = "could not open scoregt file '" + scoregt_file_str + "' for writing.";
-            CV_Error(Error::StsError,err_msg.c_str());
-        }
-    }
-
-    //finally, calculate precision+recall+ap
-    vector<size_t> ranking;
-    calcPrecRecall_impl(res_ground_truth,res_scores,precision,recall,ap,ranking);
-}
-
-//< Protected implementation of Precision-Recall calculation used by both calcClassifierPrecRecall and calcDetectorPrecRecall >
-
-void VocData::calcPrecRecall_impl(const vector<char>& ground_truth, const vector<float>& scores, vector<float>& precision, vector<float>& recall, float& ap, vector<size_t>& ranking, int recall_normalization)
-{
-    CV_Assert(ground_truth.size() == scores.size());
-
-    //add extra element for p-r at 0 recall (in case that first retrieved is positive)
-    vector<float>(scores.size()+1).swap(precision);
-    vector<float>(scores.size()+1).swap(recall);
-
-    // SORT RESULTS BY THEIR SCORE
-    /* 1. store sorting order in 'order' */
-    VocData::getSortOrder(scores, ranking);
-
-#ifdef PR_DEBUG
-    std::ofstream scoregt_file("D:/pr.txt");
-    if (scoregt_file.is_open())
-    {
-       for (int i = 0; i < scores.size(); ++i)
-       {
-           scoregt_file << scores[ranking[i]] << " " << ground_truth[ranking[i]] << endl;
-       }
-       scoregt_file.close();
-    }
-#endif
-
-    // CALCULATE PRECISION+RECALL
-
-    int retrieved_hits = 0;
-
-    int recall_norm;
-    if (recall_normalization != -1)
-    {
-        recall_norm = recall_normalization;
-    } else {
-        recall_norm = (int)std::count_if(ground_truth.begin(),ground_truth.end(),std::bind2nd(std::equal_to<char>(),(char)1));
-    }
-
-    ap = 0;
-    recall[0] = 0;
-    for (size_t idx = 0; idx < ground_truth.size(); ++idx)
-    {
-        if (ground_truth[ranking[idx]] != 0) ++retrieved_hits;
-
-        precision[idx+1] = static_cast<float>(retrieved_hits)/static_cast<float>(idx+1);
-        recall[idx+1] = static_cast<float>(retrieved_hits)/static_cast<float>(recall_norm);
-
-        if (idx == 0)
-        {
-            //add further point at 0 recall with the same precision value as the first computed point
-            precision[idx] = precision[idx+1];
-        }
-        if (recall[idx+1] == 1.0)
-        {
-            //if recall = 1, then end early as all positive images have been found
-            recall.resize(idx+2);
-            precision.resize(idx+2);
-            break;
-        }
-    }
-
-    /* ap calculation */
-    if (m_sampled_ap == false)
-    {
-        // FOR VOC2010+ AP IS CALCULATED FROM ALL DATAPOINTS
-        /* make precision monotonically decreasing for purposes of calculating ap */
-        vector<float> precision_monot(precision.size());
-        vector<float>::iterator prec_m_it = precision_monot.begin();
-        for (vector<float>::iterator prec_it = precision.begin(); prec_it != precision.end(); ++prec_it, ++prec_m_it)
-        {
-            vector<float>::iterator max_elem;
-            max_elem = std::max_element(prec_it,precision.end());
-            (*prec_m_it) = (*max_elem);
-        }
-        /* calculate ap */
-        for (size_t idx = 0; idx < (recall.size()-1); ++idx)
-        {
-            ap += (recall[idx+1] - recall[idx])*precision_monot[idx+1] +   //no need to take min of prec - is monotonically decreasing
-                    0.5f*(recall[idx+1] - recall[idx])*std::abs(precision_monot[idx+1] - precision_monot[idx]);
-        }
-    } else {
-        // FOR BEFORE VOC2010 AP IS CALCULATED BY SAMPLING PRECISION AT RECALL 0.0,0.1,..,1.0
-
-        for (float recall_pos = 0.f; recall_pos <= 1.f; recall_pos += 0.1f)
-        {
-            //find iterator of the precision corresponding to the first recall >= recall_pos
-            vector<float>::iterator recall_it = recall.begin();
-            vector<float>::iterator prec_it = precision.begin();
-
-            while ((*recall_it) < recall_pos)
-            {
-                ++recall_it;
-                ++prec_it;
-                if (recall_it == recall.end()) break;
-            }
-
-            /* if no recall >= recall_pos found, this level of recall is never reached so stop adding to ap */
-            if (recall_it == recall.end()) break;
-
-            /* if the prec_it is valid, compute the max precision at this level of recall or higher */
-            vector<float>::iterator max_prec = std::max_element(prec_it,precision.end());
-
-            ap += (*max_prec)/11;
-        }
-    }
-}
-
-/* functions for calculating confusion matrix rows */
-
-//Calculate rows of a confusion matrix
-//------------------------------------
-//INPUTS:
-// - obj_class          The VOC object class identifier string for the confusion matrix row to compute
-// - images             An array of ObdImage containing the images to use for the computation
-// - scores             A corresponding array of confidence scores for the presence of obj_class in each image
-// - cond               Defines whether to use a cut off point based on recall (CV_VOC_CCOND_RECALL) or score
-//                      (CV_VOC_CCOND_SCORETHRESH) the latter is useful for classifier detections where positive
-//                      values are positive detections and negative values are negative detections
-// - threshold          Threshold value for cond. In case of CV_VOC_CCOND_RECALL, is proportion recall (e.g. 0.5).
-//                      In the case of CV_VOC_CCOND_SCORETHRESH is the value above which to count results.
-//OUTPUTS:
-// - output_headers     An output vector of object class headers for the confusion matrix row
-// - output_values      An output vector of values for the confusion matrix row corresponding to the classes
-//                      defined in output_headers
-//NOTES:
-// The methodology used by the classifier version of this function is that true positives have a single unit
-// added to the obj_class column in the confusion matrix row, whereas false positives have a single unit
-// distributed in proportion between all the columns in the confusion matrix row corresponding to the objects
-// present in the image.
-void VocData::calcClassifierConfMatRow(const string& obj_class, const vector<ObdImage>& images, const vector<float>& scores, const VocConfCond cond, const float threshold, vector<string>& output_headers, vector<float>& output_values)
-{
-    CV_Assert(images.size() == scores.size());
-
-    // SORT RESULTS BY THEIR SCORE
-    /* 1. store sorting order in 'ranking' */
-    vector<size_t> ranking;
-    VocData::getSortOrder(scores, ranking);
-
-    // CALCULATE CONFUSION MATRIX ENTRIES
-    /* prepare object category headers */
-    output_headers = m_object_classes;
-    vector<float>(output_headers.size(),0.0).swap(output_values);
-    /* find the index of the target object class in the headers for later use */
-    int target_idx;
-    {
-        vector<string>::iterator target_idx_it = std::find(output_headers.begin(),output_headers.end(),obj_class);
-        /* if the target class can not be found, raise an exception */
-        if (target_idx_it == output_headers.end())
-        {
-            string err_msg = "could not find the target object class '" + obj_class + "' in list of valid classes.";
-            CV_Error(Error::StsError,err_msg.c_str());
-        }
-        /* convert iterator to index */
-        target_idx = (int)std::distance(output_headers.begin(),target_idx_it);
-    }
-
-    /* prepare variables related to calculating recall if using the recall threshold */
-    int retrieved_hits = 0;
-    int total_relevant = 0;
-    if (cond == CV_VOC_CCOND_RECALL)
-    {
-        vector<char> ground_truth;
-        /* in order to calculate the total number of relevant images for normalization of recall
-            it's necessary to extract the ground truth for the images under consideration */
-        getClassifierGroundTruth(obj_class, images, ground_truth);
-        total_relevant = (int)std::count_if(ground_truth.begin(),ground_truth.end(),std::bind2nd(std::equal_to<char>(),(char)1));
-    }
-
-    /* iterate through images */
-    vector<ObdObject> img_objects;
-    vector<VocObjectData> img_object_data;
-    int total_images = 0;
-    for (size_t image_idx = 0; image_idx < images.size(); ++image_idx)
-    {
-        /* if using the score as the break condition, check for it now */
-        if (cond == CV_VOC_CCOND_SCORETHRESH)
-        {
-            if (scores[ranking[image_idx]] <= threshold) break;
-        }
-        /* if continuing for this iteration, increment the image counter for later normalization */
-        ++total_images;
-        /* for each image retrieve the objects contained */
-        getObjects(images[ranking[image_idx]].id, img_objects, img_object_data);
-        //check if the tested for object class is present
-        if (getClassifierGroundTruthImage(obj_class, images[ranking[image_idx]].id))
-        {
-            //if the target class is present, assign fully to the target class element in the confusion matrix row
-            output_values[target_idx] += 1.0;
-            if (cond == CV_VOC_CCOND_RECALL) ++retrieved_hits;
-        } else {
-            //first delete all objects marked as difficult
-            for (size_t obj_idx = 0; obj_idx < img_objects.size(); ++obj_idx)
-            {
-                if (img_object_data[obj_idx].difficult == true)
-                {
-                    vector<ObdObject>::iterator it1 = img_objects.begin();
-                    std::advance(it1,obj_idx);
-                    img_objects.erase(it1);
-                    vector<VocObjectData>::iterator it2 = img_object_data.begin();
-                    std::advance(it2,obj_idx);
-                    img_object_data.erase(it2);
-                    --obj_idx;
-                }
-            }
-            //if the target class is not present, add values to the confusion matrix row in equal proportions to all objects present in the image
-            for (size_t obj_idx = 0; obj_idx < img_objects.size(); ++obj_idx)
-            {
-                //find the index of the currently considered object
-                vector<string>::iterator class_idx_it = std::find(output_headers.begin(),output_headers.end(),img_objects[obj_idx].object_class);
-                //if the class name extracted from the ground truth file could not be found in the list of available classes, raise an exception
-                if (class_idx_it == output_headers.end())
-                {
-                    string err_msg = "could not find object class '" + img_objects[obj_idx].object_class + "' specified in the ground truth file of '" + images[ranking[image_idx]].id +"'in list of valid classes.";
-                    CV_Error(Error::StsError,err_msg.c_str());
-                }
-                /* convert iterator to index */
-                int class_idx = (int)std::distance(output_headers.begin(),class_idx_it);
-                //add to confusion matrix row in proportion
-                output_values[class_idx] += 1.f/static_cast<float>(img_objects.size());
-            }
-        }
-        //check break conditions if breaking on certain level of recall
-        if (cond == CV_VOC_CCOND_RECALL)
-        {
-            if(static_cast<float>(retrieved_hits)/static_cast<float>(total_relevant) >= threshold) break;
-        }
-    }
-    /* finally, normalize confusion matrix row */
-    for (vector<float>::iterator it = output_values.begin(); it < output_values.end(); ++it)
-    {
-        (*it) /= static_cast<float>(total_images);
-    }
-}
-
-// NOTE: doesn't ignore repeated detections
-void VocData::calcDetectorConfMatRow(const string& obj_class, const ObdDatasetType dataset, const vector<ObdImage>& images, const vector<vector<float> >& scores, const vector<vector<Rect> >& bounding_boxes, const VocConfCond cond, const float threshold, vector<string>& output_headers, vector<float>& output_values, bool ignore_difficult)
-{
-    CV_Assert(images.size() == scores.size());
-    CV_Assert(images.size() == bounding_boxes.size());
-
-    //collapse scores and ground_truth vectors into 1D vectors to allow ranking
-    /* define final flat vectors */
-    vector<string> images_flat;
-    vector<float> scores_flat;
-    vector<Rect> bounding_boxes_flat;
-    {
-        /* first count how many objects to allow preallocation */
-        int obj_count = 0;
-        CV_Assert(scores.size() == bounding_boxes.size());
-        for (size_t img_idx = 0; img_idx < scores.size(); ++img_idx)
-        {
-            CV_Assert(scores[img_idx].size() == bounding_boxes[img_idx].size());
-            for (size_t obj_idx = 0; obj_idx < scores[img_idx].size(); ++obj_idx)
-            {
-                ++obj_count;
-            }
-        }
-        /* preallocate vectors */
-        images_flat.resize(obj_count);
-        scores_flat.resize(obj_count);
-        bounding_boxes_flat.resize(obj_count);
-        /* now copy across to preallocated vectors */
-        int flat_pos = 0;
-        for (size_t img_idx = 0; img_idx < scores.size(); ++img_idx)
-        {
-            for (size_t obj_idx = 0; obj_idx < scores[img_idx].size(); ++obj_idx)
-            {
-                images_flat[flat_pos] = images[img_idx].id;
-                scores_flat[flat_pos] = scores[img_idx][obj_idx];
-                bounding_boxes_flat[flat_pos] = bounding_boxes[img_idx][obj_idx];
-                ++flat_pos;
-            }
-        }
-    }
-
-    // SORT RESULTS BY THEIR SCORE
-    /* 1. store sorting order in 'ranking' */
-    vector<size_t> ranking;
-    VocData::getSortOrder(scores_flat, ranking);
-
-    // CALCULATE CONFUSION MATRIX ENTRIES
-    /* prepare object category headers */
-    output_headers = m_object_classes;
-    output_headers.push_back("background");
-    vector<float>(output_headers.size(),0.0).swap(output_values);
-
-    /* prepare variables related to calculating recall if using the recall threshold */
-    int retrieved_hits = 0;
-    int total_relevant = 0;
-    if (cond == CV_VOC_CCOND_RECALL)
-    {
-//        vector<char> ground_truth;
-//        /* in order to calculate the total number of relevant images for normalization of recall
-//            it's necessary to extract the ground truth for the images under consideration */
-//        getClassifierGroundTruth(obj_class, images, ground_truth);
-//        total_relevant = std::count_if(ground_truth.begin(),ground_truth.end(),std::bind2nd(std::equal_to<bool>(),true));
-        /* calculate the total number of objects in the ground truth for the current dataset */
-        vector<ObdImage> gt_images;
-        vector<char> gt_object_present;
-        getClassImages(obj_class, dataset, gt_images, gt_object_present);
-
-        for (size_t image_idx = 0; image_idx < gt_images.size(); ++image_idx)
-        {
-            vector<ObdObject> gt_img_objects;
-            vector<VocObjectData> gt_img_object_data;
-            getObjects(gt_images[image_idx].id, gt_img_objects, gt_img_object_data);
-            for (size_t obj_idx = 0; obj_idx < gt_img_objects.size(); ++obj_idx)
-            {
-                if (gt_img_objects[obj_idx].object_class == obj_class)
-                {
-                    if ((gt_img_object_data[obj_idx].difficult == false) || (ignore_difficult == false))
-                        ++total_relevant;
-                }
-            }
-        }
-    }
-
-    /* iterate through objects */
-    vector<ObdObject> img_objects;
-    vector<VocObjectData> img_object_data;
-    int total_objects = 0;
-    for (size_t image_idx = 0; image_idx < images.size(); ++image_idx)
-    {
-        /* if using the score as the break condition, check for it now */
-        if (cond == CV_VOC_CCOND_SCORETHRESH)
-        {
-            if (scores_flat[ranking[image_idx]] <= threshold) break;
-        }
-        /* increment the image counter for later normalization */
-        ++total_objects;
-        /* for each image retrieve the objects contained */
-        getObjects(images[ranking[image_idx]].id, img_objects, img_object_data);
-
-        //find the ground truth object which has the highest overlap score with the detected object
-        float maxov = -1.0;
-        int max_gt_obj_idx = -1;
-        //-- for each detected object iterate through objects present in ground truth --
-        for (size_t gt_obj_idx = 0; gt_obj_idx < img_objects.size(); ++gt_obj_idx)
-        {
-            //check difficulty flag
-            if (ignore_difficult || (img_object_data[gt_obj_idx].difficult == false))
-            {
-                //if the class matches, then check if the detected object and ground truth object overlap by a sufficient margin
-                float ov = testBoundingBoxesForOverlap(bounding_boxes_flat[ranking[image_idx]], img_objects[gt_obj_idx].boundingBox);
-                if (ov != -1.f)
-                {
-                    //if all conditions are met store the overlap score and index (as objects are assigned to the highest scoring match)
-                    if (ov > maxov)
-                    {
-                        maxov = ov;
-                        max_gt_obj_idx = (int)gt_obj_idx;
-                    }
-                }
-            }
-        }
-
-        //assign to appropriate object class if an object was detected
-        if (maxov != -1.0)
-        {
-            //find the index of the currently considered object
-            vector<string>::iterator class_idx_it = std::find(output_headers.begin(),output_headers.end(),img_objects[max_gt_obj_idx].object_class);
-            //if the class name extracted from the ground truth file could not be found in the list of available classes, raise an exception
-            if (class_idx_it == output_headers.end())
-            {
-                string err_msg = "could not find object class '" + img_objects[max_gt_obj_idx].object_class + "' specified in the ground truth file of '" + images[ranking[image_idx]].id +"'in list of valid classes.";
-                CV_Error(Error::StsError,err_msg.c_str());
-            }
-            /* convert iterator to index */
-            int class_idx = (int)std::distance(output_headers.begin(),class_idx_it);
-            //add to confusion matrix row in proportion
-            output_values[class_idx] += 1.0;
-        } else {
-            //otherwise assign to background class
-            output_values[output_values.size()-1] += 1.0;
-        }
-
-        //check break conditions if breaking on certain level of recall
-        if (cond == CV_VOC_CCOND_RECALL)
-        {
-            if(static_cast<float>(retrieved_hits)/static_cast<float>(total_relevant) >= threshold) break;
-        }
-    }
-
-    /* finally, normalize confusion matrix row */
-    for (vector<float>::iterator it = output_values.begin(); it < output_values.end(); ++it)
-    {
-        (*it) /= static_cast<float>(total_objects);
-    }
-}
-
-//Save Precision-Recall results to a p-r curve in GNUPlot format
-//--------------------------------------------------------------
-//INPUTS:
-// - output_file        The file to which to save the GNUPlot data file. If only a filename is specified, the data
-//                      file is saved to the standard VOC results directory.
-// - precision          Vector of precisions as returned from calcClassifier/DetectorPrecRecall
-// - recall             Vector of recalls as returned from calcClassifier/DetectorPrecRecall
-// - ap                ap as returned from calcClassifier/DetectorPrecRecall
-// - (title)            Title to use for the plot (if not specified, just the ap is printed as the title)
-//                      This also specifies the filename of the output file if printing to pdf
-// - (plot_type)        Specifies whether to instruct GNUPlot to save to a PDF file (CV_VOC_PLOT_PDF) or directly
-//                      to screen (CV_VOC_PLOT_SCREEN) in the datafile
-//NOTES:
-// The GNUPlot data file can be executed using GNUPlot from the commandline in the following way:
-//      >> GNUPlot <output_file>
-// This will then display the p-r curve on the screen or save it to a pdf file depending on plot_type
-
-void VocData::savePrecRecallToGnuplot(const string& output_file, const vector<float>& precision, const vector<float>& recall, const float ap, const string title, const VocPlotType plot_type)
-{
-    string output_file_std = checkFilenamePathsep(output_file);
-
-    //if no directory is specified, by default save the output file in the results directory
-//    if (output_file_std.find("/") == output_file_std.npos)
-//    {
-//        output_file_std = m_results_directory + output_file_std;
-//    }
-
-    std::ofstream plot_file(output_file_std.c_str());
-
-    if (plot_file.is_open())
-    {
-        plot_file << "set xrange [0:1]" << endl;
-        plot_file << "set yrange [0:1]" << endl;
-        plot_file << "set size square" << endl;
-        string title_text = title;
-        if (title_text.size() == 0) title_text = "Precision-Recall Curve";
-        plot_file << "set title \"" << title_text << " (ap: " << ap << ")\"" << endl;
-        plot_file << "set xlabel \"Recall\"" << endl;
-        plot_file << "set ylabel \"Precision\"" << endl;
-        plot_file << "set style data lines" << endl;
-        plot_file << "set nokey" << endl;
-        if (plot_type == CV_VOC_PLOT_PNG)
-        {
-            plot_file << "set terminal png" << endl;
-            string pdf_filename;
-            if (title.size() != 0)
-            {
-                pdf_filename = title;
-            } else {
-                pdf_filename = "prcurve";
-            }
-            plot_file << "set out \"" << title << ".png\"" << endl;
-        }
-        plot_file << "plot \"-\" using 1:2" << endl;
-        plot_file << "# X Y" << endl;
-        CV_Assert(precision.size() == recall.size());
-        for (size_t i = 0; i < precision.size(); ++i)
-        {
-            plot_file << "  " << recall[i] << " " << precision[i] << endl;
-        }
-        plot_file << "end" << endl;
-        if (plot_type == CV_VOC_PLOT_SCREEN)
-        {
-            plot_file << "pause -1" << endl;
-        }
-        plot_file.close();
-    } else {
-        string err_msg = "could not open plot file '" + output_file_std + "' for writing.";
-        CV_Error(Error::StsError,err_msg.c_str());
-    }
-}
-
-void VocData::readClassifierGroundTruth(const string& obj_class, const ObdDatasetType dataset, vector<ObdImage>& images, vector<char>& object_present)
-{
-    images.clear();
-
-    string gtFilename = m_class_imageset_path;
-    gtFilename.replace(gtFilename.find("%s"),2,obj_class);
-    if (dataset == CV_OBD_TRAIN)
-    {
-        gtFilename.replace(gtFilename.find("%s"),2,m_train_set);
-    } else {
-        gtFilename.replace(gtFilename.find("%s"),2,m_test_set);
-    }
-
-    vector<string> image_codes;
-    readClassifierGroundTruth(gtFilename, image_codes, object_present);
-
-    convertImageCodesToObdImages(image_codes, images);
-}
-
-void VocData::readClassifierResultsFile(const std:: string& input_file, vector<ObdImage>& images, vector<float>& scores)
-{
-    images.clear();
-
-    string input_file_std = checkFilenamePathsep(input_file);
-
-    //if no directory is specified, by default search for the input file in the results directory
-//    if (input_file_std.find("/") == input_file_std.npos)
-//    {
-//        input_file_std = m_results_directory + input_file_std;
-//    }
-
-    vector<string> image_codes;
-    readClassifierResultsFile(input_file_std, image_codes, scores);
-
-    convertImageCodesToObdImages(image_codes, images);
-}
-
-void VocData::readDetectorResultsFile(const string& input_file, vector<ObdImage>& images, vector<vector<float> >& scores, vector<vector<Rect> >& bounding_boxes)
-{
-    images.clear();
-
-    string input_file_std = checkFilenamePathsep(input_file);
-
-    //if no directory is specified, by default search for the input file in the results directory
-//    if (input_file_std.find("/") == input_file_std.npos)
-//    {
-//        input_file_std = m_results_directory + input_file_std;
-//    }
-
-    vector<string> image_codes;
-    readDetectorResultsFile(input_file_std, image_codes, scores, bounding_boxes);
-
-    convertImageCodesToObdImages(image_codes, images);
-}
-
-const vector<string>& VocData::getObjectClasses()
-{
-    return m_object_classes;
-}
-
-//string VocData::getResultsDirectory()
-//{
-//    return m_results_directory;
-//}
-
-//---------------------------------------------------------
-// Protected Functions ------------------------------------
-//---------------------------------------------------------
-
-static string getVocName( const string& vocPath )
-{
-    size_t found = vocPath.rfind( '/' );
-    if( found == string::npos )
-    {
-        found = vocPath.rfind( '\\' );
-        if( found == string::npos )
-            return vocPath;
-    }
-    return vocPath.substr(found + 1, vocPath.size() - found);
-}
-
-void VocData::initVoc( const string& vocPath, const bool useTestDataset )
-{
-    initVoc2007to2010( vocPath, useTestDataset );
-}
-
-//Initialize file paths and settings for the VOC 2010 dataset
-//-----------------------------------------------------------
-void VocData::initVoc2007to2010( const string& vocPath, const bool useTestDataset )
-{
-    //check format of root directory and modify if necessary
-
-    m_vocName = getVocName( vocPath );
-
-    CV_Assert( !m_vocName.compare("VOC2007") || !m_vocName.compare("VOC2008") ||
-               !m_vocName.compare("VOC2009") || !m_vocName.compare("VOC2010") );
-
-    m_vocPath = checkFilenamePathsep( vocPath, true );
-
-    if (useTestDataset)
-    {
-        m_train_set = "trainval";
-        m_test_set = "test";
-    } else {
-        m_train_set = "train";
-        m_test_set = "val";
-    }
-
-    // initialize main classification/detection challenge paths
-    m_annotation_path = m_vocPath + "/Annotations/%s.xml";
-    m_image_path = m_vocPath + "/JPEGImages/%s.jpg";
-    m_imageset_path = m_vocPath + "/ImageSets/Main/%s.txt";
-    m_class_imageset_path = m_vocPath + "/ImageSets/Main/%s_%s.txt";
-
-    //define available object_classes for VOC2010 dataset
-    m_object_classes.push_back("aeroplane");
-    m_object_classes.push_back("bicycle");
-    m_object_classes.push_back("bird");
-    m_object_classes.push_back("boat");
-    m_object_classes.push_back("bottle");
-    m_object_classes.push_back("bus");
-    m_object_classes.push_back("car");
-    m_object_classes.push_back("cat");
-    m_object_classes.push_back("chair");
-    m_object_classes.push_back("cow");
-    m_object_classes.push_back("diningtable");
-    m_object_classes.push_back("dog");
-    m_object_classes.push_back("horse");
-    m_object_classes.push_back("motorbike");
-    m_object_classes.push_back("person");
-    m_object_classes.push_back("pottedplant");
-    m_object_classes.push_back("sheep");
-    m_object_classes.push_back("sofa");
-    m_object_classes.push_back("train");
-    m_object_classes.push_back("tvmonitor");
-
-    m_min_overlap = 0.5;
-
-    //up until VOC 2010, ap was calculated by sampling p-r curve, not taking complete curve
-    m_sampled_ap = ((m_vocName == "VOC2007") || (m_vocName == "VOC2008") || (m_vocName == "VOC2009"));
-}
-
-//Read a VOC classification ground truth text file for a given object class and dataset
-//-------------------------------------------------------------------------------------
-//INPUTS:
-// - filename           The path of the text file to read
-//OUTPUTS:
-// - image_codes        VOC image codes extracted from the GT file in the form 20XX_XXXXXX where the first four
-//                          digits specify the year of the dataset, and the last group specifies a unique ID
-// - object_present     For each image in the 'image_codes' array, specifies whether the object class described
-//                          in the loaded GT file is present or not
-void VocData::readClassifierGroundTruth(const string& filename, vector<string>& image_codes, vector<char>& object_present)
-{
-    image_codes.clear();
-    object_present.clear();
-
-    std::ifstream gtfile(filename.c_str());
-    if (!gtfile.is_open())
-    {
-        string err_msg = "could not open VOC ground truth textfile '" + filename + "'.";
-        CV_Error(Error::StsError,err_msg.c_str());
-    }
-
-    string line;
-    string image;
-    int obj_present = 0;
-    while (!gtfile.eof())
-    {
-        std::getline(gtfile,line);
-        std::istringstream iss(line);
-        iss >> image >> obj_present;
-        if (!iss.fail())
-        {
-            image_codes.push_back(image);
-            object_present.push_back(obj_present == 1);
-        } else {
-            if (!gtfile.eof()) CV_Error(Error::StsParseError,"error parsing VOC ground truth textfile.");
-        }
-    }
-    gtfile.close();
-}
-
-void VocData::readClassifierResultsFile(const string& input_file, vector<string>& image_codes, vector<float>& scores)
-{
-    //check if results file exists
-    std::ifstream result_file(input_file.c_str());
-    if (result_file.is_open())
-    {
-        string line;
-        string image;
-        float score;
-        //read in the results file
-        while (!result_file.eof())
-        {
-            std::getline(result_file,line);
-            std::istringstream iss(line);
-            iss >> image >> score;
-            if (!iss.fail())
-            {
-                image_codes.push_back(image);
-                scores.push_back(score);
-            } else {
-                if(!result_file.eof()) CV_Error(Error::StsParseError,"error parsing VOC classifier results file.");
-            }
-        }
-        result_file.close();
-    } else {
-        string err_msg = "could not open classifier results file '" + input_file + "' for reading.";
-        CV_Error(Error::StsError,err_msg.c_str());
-    }
-}
-
-void VocData::readDetectorResultsFile(const string& input_file, vector<string>& image_codes, vector<vector<float> >& scores, vector<vector<Rect> >& bounding_boxes)
-{
-    image_codes.clear();
-    scores.clear();
-    bounding_boxes.clear();
-
-    //check if results file exists
-    std::ifstream result_file(input_file.c_str());
-    if (result_file.is_open())
-    {
-        string line;
-        string image;
-        Rect bounding_box;
-        float score;
-        //read in the results file
-        while (!result_file.eof())
-        {
-            std::getline(result_file,line);
-            std::istringstream iss(line);
-            iss >> image >> score >> bounding_box.x >> bounding_box.y >> bounding_box.width >> bounding_box.height;
-            if (!iss.fail())
-            {
-                //convert right and bottom positions to width and height
-                bounding_box.width -= bounding_box.x;
-                bounding_box.height -= bounding_box.y;
-                //convert to 0-indexing
-                bounding_box.x -= 1;
-                bounding_box.y -= 1;
-                //store in output vectors
-                /* first check if the current image code has been seen before */
-                vector<string>::iterator image_codes_it = std::find(image_codes.begin(),image_codes.end(),image);
-                if (image_codes_it == image_codes.end())
-                {
-                    image_codes.push_back(image);
-                    vector<float> score_vect(1);
-                    score_vect[0] = score;
-                    scores.push_back(score_vect);
-                    vector<Rect> bounding_box_vect(1);
-                    bounding_box_vect[0] = bounding_box;
-                    bounding_boxes.push_back(bounding_box_vect);
-                } else {
-                    /* if the image index has been seen before, add the current object below it in the 2D arrays */
-                    int image_idx = (int)std::distance(image_codes.begin(),image_codes_it);
-                    scores[image_idx].push_back(score);
-                    bounding_boxes[image_idx].push_back(bounding_box);
-                }
-            } else {
-                if(!result_file.eof()) CV_Error(Error::StsParseError,"error parsing VOC detector results file.");
-            }
-        }
-        result_file.close();
-    } else {
-        string err_msg = "could not open detector results file '" + input_file + "' for reading.";
-        CV_Error(Error::StsError,err_msg.c_str());
-    }
-}
-
-
-//Read a VOC annotation xml file for a given image
-//------------------------------------------------
-//INPUTS:
-// - filename           The path of the xml file to read
-//OUTPUTS:
-// - objects            Array of VocObject describing all object instances present in the given image
-void VocData::extractVocObjects(const string filename, vector<ObdObject>& objects, vector<VocObjectData>& object_data)
-{
-#ifdef PR_DEBUG
-    int block = 1;
-    cout << "SAMPLE VOC OBJECT EXTRACTION for " << filename << ":" << endl;
-#endif
-    objects.clear();
-    object_data.clear();
-
-    string contents, object_contents, tag_contents;
-
-    readFileToString(filename, contents);
-
-    //keep on extracting 'object' blocks until no more can be found
-    if (extractXMLBlock(contents, "annotation", 0, contents) != -1)
-    {
-        int searchpos = 0;
-        searchpos = extractXMLBlock(contents, "object", searchpos, object_contents);
-        while (searchpos != -1)
-        {
-#ifdef PR_DEBUG
-            cout << "SEARCHPOS:" << searchpos << endl;
-            cout << "start block " << block << " ---------" << endl;
-            cout << object_contents << endl;
-            cout << "end block " << block << " -----------" << endl;
-            ++block;
-#endif
-
-            ObdObject object;
-            VocObjectData object_d;
-
-            //object class -------------
-
-            if (extractXMLBlock(object_contents, "name", 0, tag_contents) == -1) CV_Error(Error::StsError,"missing <name> tag in object definition of '" + filename + "'");
-            object.object_class.swap(tag_contents);
-
-            //object bounding box -------------
-
-            int xmax, xmin, ymax, ymin;
-
-            if (extractXMLBlock(object_contents, "xmax", 0, tag_contents) == -1) CV_Error(Error::StsError,"missing <xmax> tag in object definition of '" + filename + "'");
-            xmax = stringToInteger(tag_contents);
-
-            if (extractXMLBlock(object_contents, "xmin", 0, tag_contents) == -1) CV_Error(Error::StsError,"missing <xmin> tag in object definition of '" + filename + "'");
-            xmin = stringToInteger(tag_contents);
-
-            if (extractXMLBlock(object_contents, "ymax", 0, tag_contents) == -1) CV_Error(Error::StsError,"missing <ymax> tag in object definition of '" + filename + "'");
-            ymax = stringToInteger(tag_contents);
-
-            if (extractXMLBlock(object_contents, "ymin", 0, tag_contents) == -1) CV_Error(Error::StsError,"missing <ymin> tag in object definition of '" + filename + "'");
-            ymin = stringToInteger(tag_contents);
-
-            object.boundingBox.x = xmin-1;      //convert to 0-based indexing
-            object.boundingBox.width = xmax - xmin;
-            object.boundingBox.y = ymin-1;
-            object.boundingBox.height = ymax - ymin;
-
-            CV_Assert(xmin != 0);
-            CV_Assert(xmax > xmin);
-            CV_Assert(ymin != 0);
-            CV_Assert(ymax > ymin);
-
-
-            //object tags -------------
-
-            if (extractXMLBlock(object_contents, "difficult", 0, tag_contents) != -1)
-            {
-                object_d.difficult = (tag_contents == "1");
-            } else object_d.difficult = false;
-            if (extractXMLBlock(object_contents, "occluded", 0, tag_contents) != -1)
-            {
-                object_d.occluded = (tag_contents == "1");
-            } else object_d.occluded = false;
-            if (extractXMLBlock(object_contents, "truncated", 0, tag_contents) != -1)
-            {
-                object_d.truncated = (tag_contents == "1");
-            } else object_d.truncated = false;
-            if (extractXMLBlock(object_contents, "pose", 0, tag_contents) != -1)
-            {
-                if (tag_contents == "Frontal") object_d.pose = CV_VOC_POSE_FRONTAL;
-                if (tag_contents == "Rear") object_d.pose = CV_VOC_POSE_REAR;
-                if (tag_contents == "Left") object_d.pose = CV_VOC_POSE_LEFT;
-                if (tag_contents == "Right") object_d.pose = CV_VOC_POSE_RIGHT;
-            }
-
-            //add to array of objects
-            objects.push_back(object);
-            object_data.push_back(object_d);
-
-            //extract next 'object' block from file if it exists
-            searchpos = extractXMLBlock(contents, "object", searchpos, object_contents);
-        }
-    }
-}
-
-//Converts an image identifier string in the format YYYY_XXXXXX to a single index integer of form XXXXXXYYYY
-//where Y represents a year and returns the image path
-//----------------------------------------------------------------------------------------------------------
-string VocData::getImagePath(const string& input_str)
-{
-    string path = m_image_path;
-    path.replace(path.find("%s"),2,input_str);
-    return path;
-}
-
-//Tests two boundary boxes for overlap (using the intersection over union metric) and returns the overlap if the objects
-//defined by the two bounding boxes are considered to be matched according to the criterion outlined in
-//the VOC documentation [namely intersection/union > some threshold] otherwise returns -1.0 (no match)
-//----------------------------------------------------------------------------------------------------------
-float VocData::testBoundingBoxesForOverlap(const Rect detection, const Rect ground_truth)
-{
-    int detection_x2 = detection.x + detection.width;
-    int detection_y2 = detection.y + detection.height;
-    int ground_truth_x2 = ground_truth.x + ground_truth.width;
-    int ground_truth_y2 = ground_truth.y + ground_truth.height;
-    //first calculate the boundaries of the intersection of the rectangles
-    int intersection_x = std::max(detection.x, ground_truth.x); //rightmost left
-    int intersection_y = std::max(detection.y, ground_truth.y); //bottommost top
-    int intersection_x2 = std::min(detection_x2, ground_truth_x2); //leftmost right
-    int intersection_y2 = std::min(detection_y2, ground_truth_y2); //topmost bottom
-    //then calculate the width and height of the intersection rect
-    int intersection_width = intersection_x2 - intersection_x + 1;
-    int intersection_height = intersection_y2 - intersection_y + 1;
-    //if there is no overlap then return false straight away
-    if ((intersection_width <= 0) || (intersection_height <= 0)) return -1.0;
-    //otherwise calculate the intersection
-    int intersection_area = intersection_width*intersection_height;
-
-    //now calculate the union
-    int union_area = (detection.width+1)*(detection.height+1) + (ground_truth.width+1)*(ground_truth.height+1) - intersection_area;
-
-    //calculate the intersection over union and use as threshold as per VOC documentation
-    float overlap = static_cast<float>(intersection_area)/static_cast<float>(union_area);
-    if (overlap > m_min_overlap)
-    {
-        return overlap;
-    } else {
-        return -1.0;
-    }
-}
-
-//Extracts the object class and dataset from the filename of a VOC standard results text file, which takes
-//the format 'comp<n>_{cls/det}_<dataset>_<objclass>.txt'
-//----------------------------------------------------------------------------------------------------------
-void VocData::extractDataFromResultsFilename(const string& input_file, string& class_name, string& dataset_name)
-{
-    string input_file_std = checkFilenamePathsep(input_file);
-
-    size_t fnamestart = input_file_std.rfind("/");
-    size_t fnameend = input_file_std.rfind(".txt");
-
-    if ((fnamestart == input_file_std.npos) || (fnameend == input_file_std.npos))
-        CV_Error(Error::StsError,"Could not extract filename of results file.");
-
-    ++fnamestart;
-    if (fnamestart >= fnameend)
-        CV_Error(Error::StsError,"Could not extract filename of results file.");
-
-    //extract dataset and class names, triggering exception if the filename format is not correct
-    string filename = input_file_std.substr(fnamestart, fnameend-fnamestart);
-    size_t datasetstart = filename.find("_");
-    datasetstart = filename.find("_",datasetstart+1);
-    size_t classstart = filename.find("_",datasetstart+1);
-    //allow for appended index after a further '_' by discarding this part if it exists
-    size_t classend = filename.find("_",classstart+1);
-    if (classend == filename.npos) classend = filename.size();
-    if ((datasetstart == filename.npos) || (classstart == filename.npos))
-        CV_Error(Error::StsError,"Error parsing results filename. Is it in standard format of 'comp<n>_{cls/det}_<dataset>_<objclass>.txt'?");
-    ++datasetstart;
-    ++classstart;
-    if (((datasetstart-classstart) < 1) || ((classend-datasetstart) < 1))
-        CV_Error(Error::StsError,"Error parsing results filename. Is it in standard format of 'comp<n>_{cls/det}_<dataset>_<objclass>.txt'?");
-
-    dataset_name = filename.substr(datasetstart,classstart-datasetstart-1);
-    class_name = filename.substr(classstart,classend-classstart);
-}
-
-bool VocData::getClassifierGroundTruthImage(const string& obj_class, const string& id)
-{
-    /* if the classifier ground truth data for all images of the current class has not been loaded yet, load it now */
-    if (m_classifier_gt_all_ids.empty() || (m_classifier_gt_class != obj_class))
-    {
-        m_classifier_gt_all_ids.clear();
-        m_classifier_gt_all_present.clear();
-        m_classifier_gt_class = obj_class;
-        for (int i=0; i<2; ++i) //run twice (once over test set and once over training set)
-        {
-            //generate the filename of the classification ground-truth textfile for the object class
-            string gtFilename = m_class_imageset_path;
-            gtFilename.replace(gtFilename.find("%s"),2,obj_class);
-            if (i == 0)
-            {
-                gtFilename.replace(gtFilename.find("%s"),2,m_train_set);
-            } else {
-                gtFilename.replace(gtFilename.find("%s"),2,m_test_set);
-            }
-
-            //parse the ground truth file, storing in two separate vectors
-            //for the image code and the ground truth value
-            vector<string> image_codes;
-            vector<char> object_present;
-            readClassifierGroundTruth(gtFilename, image_codes, object_present);
-
-            m_classifier_gt_all_ids.insert(m_classifier_gt_all_ids.end(),image_codes.begin(),image_codes.end());
-            m_classifier_gt_all_present.insert(m_classifier_gt_all_present.end(),object_present.begin(),object_present.end());
-
-            CV_Assert(m_classifier_gt_all_ids.size() == m_classifier_gt_all_present.size());
-        }
-    }
-
-
-    //search for the image code
-    vector<string>::iterator it = find (m_classifier_gt_all_ids.begin(), m_classifier_gt_all_ids.end(), id);
-    if (it != m_classifier_gt_all_ids.end())
-    {
-        //image found, so return corresponding ground truth
-        return m_classifier_gt_all_present[std::distance(m_classifier_gt_all_ids.begin(),it)] != 0;
-    } else {
-        string err_msg = "could not find classifier ground truth for image '" + id + "' and class '" + obj_class + "'";
-        CV_Error(Error::StsError,err_msg.c_str());
-    }
-
-    return true;
-}
-
-//-------------------------------------------------------------------
-// Protected Functions (utility) ------------------------------------
-//-------------------------------------------------------------------
-
-//returns a vector containing indexes of the input vector in sorted ascending/descending order
-void VocData::getSortOrder(const vector<float>& values, vector<size_t>& order, bool descending)
-{
-    /* 1. store sorting order in 'order_pair' */
-    vector<std::pair<size_t, vector<float>::const_iterator> > order_pair(values.size());
-
-    size_t n = 0;
-    for (vector<float>::const_iterator it = values.begin(); it != values.end(); ++it, ++n)
-        order_pair[n] = make_pair(n, it);
-
-    std::sort(order_pair.begin(),order_pair.end(),orderingSorter());
-    if (descending == false) std::reverse(order_pair.begin(),order_pair.end());
-
-    vector<size_t>(order_pair.size()).swap(order);
-    for (size_t i = 0; i < order_pair.size(); ++i)
-    {
-        order[i] = order_pair[i].first;
-    }
-}
-
-void VocData::readFileToString(const string filename, string& file_contents)
-{
-    std::ifstream ifs(filename.c_str());
-    if (!ifs.is_open()) CV_Error(Error::StsError,"could not open text file");
-
-    stringstream oss;
-    oss << ifs.rdbuf();
-
-    file_contents = oss.str();
-}
-
-int VocData::stringToInteger(const string input_str)
-{
-    int result = 0;
-
-    stringstream ss(input_str);
-    if ((ss >> result).fail())
-    {
-        CV_Error(Error::StsBadArg,"could not perform string to integer conversion");
-    }
-    return result;
-}
-
-string VocData::integerToString(const int input_int)
-{
-    string result;
-
-    stringstream ss;
-    if ((ss << input_int).fail())
-    {
-        CV_Error(Error::StsBadArg,"could not perform integer to string conversion");
-    }
-    result = ss.str();
-    return result;
-}
-
-string VocData::checkFilenamePathsep( const string filename, bool add_trailing_slash )
-{
-    string filename_new = filename;
-
-    size_t pos = filename_new.find("\\\\");
-    while (pos != filename_new.npos)
-    {
-        filename_new.replace(pos,2,"/");
-        pos = filename_new.find("\\\\", pos);
-    }
-    pos = filename_new.find("\\");
-    while (pos != filename_new.npos)
-    {
-        filename_new.replace(pos,1,"/");
-        pos = filename_new.find("\\", pos);
-    }
-    if (add_trailing_slash)
-    {
-        //add training slash if this is missing
-        if (filename_new.rfind("/") != filename_new.length()-1) filename_new += "/";
-    }
-
-    return filename_new;
-}
-
-void VocData::convertImageCodesToObdImages(const vector<string>& image_codes, vector<ObdImage>& images)
-{
-    images.clear();
-    images.reserve(image_codes.size());
-
-    string path;
-    //transfer to output arrays
-    for (size_t i = 0; i < image_codes.size(); ++i)
-    {
-        //generate image path and indices from extracted string code
-        path = getImagePath(image_codes[i]);
-        images.push_back(ObdImage(image_codes[i], path));
-    }
-}
-
-//Extract text from within a given tag from an XML file
-//-----------------------------------------------------
-//INPUTS:
-// - src            XML source file
-// - tag            XML tag delimiting block to extract
-// - searchpos      position within src at which to start search
-//OUTPUTS:
-// - tag_contents   text extracted between <tag> and </tag> tags
-//RETURN VALUE:
-// - the position of the final character extracted in tag_contents within src
-//      (can be used to call extractXMLBlock recursively to extract multiple blocks)
-//      returns -1 if the tag could not be found
-int VocData::extractXMLBlock(const string src, const string tag, const int searchpos, string& tag_contents)
-{
-    size_t startpos, next_startpos, endpos;
-    int embed_count = 1;
-
-    //find position of opening tag
-    startpos = src.find("<" + tag + ">", searchpos);
-    if (startpos == string::npos) return -1;
-
-    //initialize endpos -
-    // start searching for end tag anywhere after opening tag
-    endpos = startpos;
-
-    //find position of next opening tag
-    next_startpos = src.find("<" + tag + ">", startpos+1);
-
-    //match opening tags with closing tags, and only
-    //accept final closing tag of same level as original
-    //opening tag
-    while (embed_count > 0)
-    {
-        endpos = src.find("</" + tag + ">", endpos+1);
-        if (endpos == string::npos) return -1;
-
-        //the next code is only executed if there are embedded tags with the same name
-        if (next_startpos != string::npos)
-        {
-            while (next_startpos<endpos)
-            {
-                //counting embedded start tags
-                ++embed_count;
-                next_startpos = src.find("<" + tag + ">", next_startpos+1);
-                if (next_startpos == string::npos) break;
-            }
-        }
-        //passing end tag so decrement nesting level
-        --embed_count;
-    }
-
-    //finally, extract the tag region
-    startpos += tag.length() + 2;
-    if (startpos > src.length()) return -1;
-    if (endpos > src.length()) return -1;
-    tag_contents = src.substr(startpos,endpos-startpos);
-    return static_cast<int>(endpos);
-}
-
-/****************************************************************************************\
-*                            Sample on image classification                             *
-\****************************************************************************************/
-//
-// This part of the code was a little refactor
-//
-struct DDMParams
-{
-    DDMParams() : detectorType("SURF"), descriptorType("SURF"), matcherType("BruteForce") {}
-    DDMParams( const string _detectorType, const string _descriptorType, const string& _matcherType ) :
-        detectorType(_detectorType), descriptorType(_descriptorType), matcherType(_matcherType){}
-    void read( const FileNode& fn )
-    {
-        fn["detectorType"] >> detectorType;
-        fn["descriptorType"] >> descriptorType;
-        fn["matcherType"] >> matcherType;
-    }
-    void write( FileStorage& fs ) const
-    {
-        fs << "detectorType" << detectorType;
-        fs << "descriptorType" << descriptorType;
-        fs << "matcherType" << matcherType;
-    }
-    void print() const
-    {
-        cout << "detectorType: " << detectorType << endl;
-        cout << "descriptorType: " << descriptorType << endl;
-        cout << "matcherType: " << matcherType << endl;
-    }
-
-    string detectorType;
-    string descriptorType;
-    string matcherType;
-};
-
-struct VocabTrainParams
-{
-    VocabTrainParams() : trainObjClass("chair"), vocabSize(1000), memoryUse(200), descProportion(0.3f) {}
-    VocabTrainParams( const string _trainObjClass, size_t _vocabSize, size_t _memoryUse, float _descProportion ) :
-            trainObjClass(_trainObjClass), vocabSize((int)_vocabSize), memoryUse((int)_memoryUse), descProportion(_descProportion) {}
-    void read( const FileNode& fn )
-    {
-        fn["trainObjClass"] >> trainObjClass;
-        fn["vocabSize"] >> vocabSize;
-        fn["memoryUse"] >> memoryUse;
-        fn["descProportion"] >> descProportion;
-    }
-    void write( FileStorage& fs ) const
-    {
-        fs << "trainObjClass" << trainObjClass;
-        fs << "vocabSize" << vocabSize;
-        fs << "memoryUse" << memoryUse;
-        fs << "descProportion" << descProportion;
-    }
-    void print() const
-    {
-        cout << "trainObjClass: " << trainObjClass << endl;
-        cout << "vocabSize: " << vocabSize << endl;
-        cout << "memoryUse: " << memoryUse << endl;
-        cout << "descProportion: " << descProportion << endl;
-    }
-
-
-    string trainObjClass; // Object class used for training visual vocabulary.
-                          // It shouldn't matter which object class is specified here - visual vocab will still be the same.
-    int vocabSize; //number of visual words in vocabulary to train
-    int memoryUse; // Memory to preallocate (in MB) when training vocab.
-                   // Change this depending on the size of the dataset/available memory.
-    float descProportion; // Specifies the number of descriptors to use from each image as a proportion of the total num descs.
-};
-
-struct SVMTrainParamsExt
-{
-    SVMTrainParamsExt() : descPercent(0.5f), targetRatio(0.4f), balanceClasses(true) {}
-    SVMTrainParamsExt( float _descPercent, float _targetRatio, bool _balanceClasses ) :
-            descPercent(_descPercent), targetRatio(_targetRatio), balanceClasses(_balanceClasses) {}
-    void read( const FileNode& fn )
-    {
-        fn["descPercent"] >> descPercent;
-        fn["targetRatio"] >> targetRatio;
-        fn["balanceClasses"] >> balanceClasses;
-    }
-    void write( FileStorage& fs ) const
-    {
-        fs << "descPercent" << descPercent;
-        fs << "targetRatio" << targetRatio;
-        fs << "balanceClasses" << balanceClasses;
-    }
-    void print() const
-    {
-        cout << "descPercent: " << descPercent << endl;
-        cout << "targetRatio: " << targetRatio << endl;
-        cout << "balanceClasses: " << balanceClasses << endl;
-    }
-
-    float descPercent; // Percentage of extracted descriptors to use for training.
-    float targetRatio; // Try to get this ratio of positive to negative samples (minimum).
-    bool balanceClasses;    // Balance class weights by number of samples in each (if true cSvmTrainTargetRatio is ignored).
-};
-
-static void readUsedParams( const FileNode& fn, string& vocName, DDMParams& ddmParams, VocabTrainParams& vocabTrainParams, SVMTrainParamsExt& svmTrainParamsExt )
-{
-    fn["vocName"] >> vocName;
-
-    FileNode currFn = fn;
-
-    currFn = fn["ddmParams"];
-    ddmParams.read( currFn );
-
-    currFn = fn["vocabTrainParams"];
-    vocabTrainParams.read( currFn );
-
-    currFn = fn["svmTrainParamsExt"];
-    svmTrainParamsExt.read( currFn );
-}
-
-static void writeUsedParams( FileStorage& fs, const string& vocName, const DDMParams& ddmParams, const VocabTrainParams& vocabTrainParams, const SVMTrainParamsExt& svmTrainParamsExt )
-{
-    fs << "vocName" << vocName;
-
-    fs << "ddmParams" << "{";
-    ddmParams.write(fs);
-    fs << "}";
-
-    fs << "vocabTrainParams" << "{";
-    vocabTrainParams.write(fs);
-    fs << "}";
-
-    fs << "svmTrainParamsExt" << "{";
-    svmTrainParamsExt.write(fs);
-    fs << "}";
-}
-
-static void printUsedParams( const string& vocPath, const string& resDir,
-                      const DDMParams& ddmParams, const VocabTrainParams& vocabTrainParams,
-                      const SVMTrainParamsExt& svmTrainParamsExt )
-{
-    cout << "CURRENT CONFIGURATION" << endl;
-    cout << "----------------------------------------------------------------" << endl;
-    cout << "vocPath: " << vocPath << endl;
-    cout << "resDir: " << resDir << endl;
-    cout << endl; ddmParams.print();
-    cout << endl; vocabTrainParams.print();
-    cout << endl; svmTrainParamsExt.print();
-    cout << "----------------------------------------------------------------" << endl << endl;
-}
-
-static bool readVocabulary( const string& filename, Mat& vocabulary )
-{
-    cout << "Reading vocabulary...";
-    FileStorage fs( filename, FileStorage::READ );
-    if( fs.isOpened() )
-    {
-        fs["vocabulary"] >> vocabulary;
-        cout << "done" << endl;
-        return true;
-    }
-    return false;
-}
-
-static bool writeVocabulary( const string& filename, const Mat& vocabulary )
-{
-    cout << "Saving vocabulary..." << endl;
-    FileStorage fs( filename, FileStorage::WRITE );
-    if( fs.isOpened() )
-    {
-        fs << "vocabulary" << vocabulary;
-        return true;
-    }
-    return false;
-}
-
-static Mat trainVocabulary( const string& filename, VocData& vocData, const VocabTrainParams& trainParams,
-                     const Ptr<FeatureDetector>& fdetector, const Ptr<DescriptorExtractor>& dextractor )
-{
-    Mat vocabulary;
-    if( !readVocabulary( filename, vocabulary) )
-    {
-        CV_Assert( dextractor->descriptorType() == CV_32FC1 );
-        const int elemSize = CV_ELEM_SIZE(dextractor->descriptorType());
-        const int descByteSize = dextractor->descriptorSize() * elemSize;
-        const int bytesInMB = 1048576;
-        const int maxDescCount = (trainParams.memoryUse * bytesInMB) / descByteSize; // Total number of descs to use for training.
-
-        cout << "Extracting VOC data..." << endl;
-        vector<ObdImage> images;
-        vector<char> objectPresent;
-        vocData.getClassImages( trainParams.trainObjClass, CV_OBD_TRAIN, images, objectPresent );
-
-        cout << "Computing descriptors..." << endl;
-        RNG& rng = theRNG();
-        TermCriteria terminate_criterion;
-        terminate_criterion.epsilon = FLT_EPSILON;
-        BOWKMeansTrainer bowTrainer( trainParams.vocabSize, terminate_criterion, 3, KMEANS_PP_CENTERS );
-
-        while( images.size() > 0 )
-        {
-            if( bowTrainer.descriptorsCount() > maxDescCount )
-            {
-#ifdef DEBUG_DESC_PROGRESS
-                cout << "Breaking due to full memory ( descriptors count = " << bowTrainer.descriptorsCount()
-                        << "; descriptor size in bytes = " << descByteSize << "; all used memory = "
-                        << bowTrainer.descriptorsCount()*descByteSize << endl;
-#endif
-                break;
-            }
-
-            // Randomly pick an image from the dataset which hasn't yet been seen
-            // and compute the descriptors from that image.
-            int randImgIdx = rng( (unsigned)images.size() );
-            Mat colorImage = imread( images[randImgIdx].path );
-            vector<KeyPoint> imageKeypoints;
-            fdetector->detect( colorImage, imageKeypoints );
-            Mat imageDescriptors;
-            dextractor->compute( colorImage, imageKeypoints, imageDescriptors );
-
-            //check that there were descriptors calculated for the current image
-            if( !imageDescriptors.empty() )
-            {
-                int descCount = imageDescriptors.rows;
-                // Extract trainParams.descProportion descriptors from the image, breaking if the 'allDescriptors' matrix becomes full
-                int descsToExtract = static_cast<int>(trainParams.descProportion * static_cast<float>(descCount));
-                // Fill mask of used descriptors
-                vector<char> usedMask( descCount, false );
-                fill( usedMask.begin(), usedMask.begin() + descsToExtract, true );
-                for( int i = 0; i < descCount; i++ )
-                {
-                    int i1 = rng(descCount), i2 = rng(descCount);
-                    char tmp = usedMask[i1]; usedMask[i1] = usedMask[i2]; usedMask[i2] = tmp;
-                }
-
-                for( int i = 0; i < descCount; i++ )
-                {
-                    if( usedMask[i] && bowTrainer.descriptorsCount() < maxDescCount )
-                        bowTrainer.add( imageDescriptors.row(i) );
-                }
-            }
-
-#ifdef DEBUG_DESC_PROGRESS
-            cout << images.size() << " images left, " << images[randImgIdx].id << " processed - "
-                    <</* descs_extracted << "/" << image_descriptors.rows << " extracted - " << */
-                    cvRound((static_cast<double>(bowTrainer.descriptorsCount())/static_cast<double>(maxDescCount))*100.0)
-                    << " % memory used" << ( imageDescriptors.empty() ? " -> no descriptors extracted, skipping" : "") << endl;
-#endif
-
-            // Delete the current element from images so it is not added again
-            images.erase( images.begin() + randImgIdx );
-        }
-
-        cout << "Maximum allowed descriptor count: " << maxDescCount << ", Actual descriptor count: " << bowTrainer.descriptorsCount() << endl;
-
-        cout << "Training vocabulary..." << endl;
-        vocabulary = bowTrainer.cluster();
-
-        if( !writeVocabulary(filename, vocabulary) )
-        {
-            cout << "Error: file " << filename << " can not be opened to write" << endl;
-            exit(-1);
-        }
-    }
-    return vocabulary;
-}
-
-static bool readBowImageDescriptor( const string& file, Mat& bowImageDescriptor )
-{
-    FileStorage fs( file, FileStorage::READ );
-    if( fs.isOpened() )
-    {
-        fs["imageDescriptor"] >> bowImageDescriptor;
-        return true;
-    }
-    return false;
-}
-
-static bool writeBowImageDescriptor( const string& file, const Mat& bowImageDescriptor )
-{
-    FileStorage fs( file, FileStorage::WRITE );
-    if( fs.isOpened() )
-    {
-        fs << "imageDescriptor" << bowImageDescriptor;
-        return true;
-    }
-    return false;
-}
-
-// Load in the bag of words vectors for a set of images, from file if possible
-static void calculateImageDescriptors( const vector<ObdImage>& images, vector<Mat>& imageDescriptors,
-                                Ptr<BOWImgDescriptorExtractor>& bowExtractor, const Ptr<FeatureDetector>& fdetector,
-                                const string& resPath )
-{
-    CV_Assert( !bowExtractor->getVocabulary().empty() );
-    imageDescriptors.resize( images.size() );
-
-    for( size_t i = 0; i < images.size(); i++ )
-    {
-        string filename = resPath + bowImageDescriptorsDir + "/" + images[i].id + ".xml.gz";
-        if( readBowImageDescriptor( filename, imageDescriptors[i] ) )
-        {
-#ifdef DEBUG_DESC_PROGRESS
-            cout << "Loaded bag of word vector for image " << i+1 << " of " << images.size() << " (" << images[i].id << ")" << endl;
-#endif
-        }
-        else
-        {
-            Mat colorImage = imread( images[i].path );
-#ifdef DEBUG_DESC_PROGRESS
-            cout << "Computing descriptors for image " << i+1 << " of " << images.size() << " (" << images[i].id << ")" << flush;
-#endif
-            vector<KeyPoint> keypoints;
-            fdetector->detect( colorImage, keypoints );
-#ifdef DEBUG_DESC_PROGRESS
-                cout << " + generating BoW vector" << std::flush;
-#endif
-            bowExtractor->compute( colorImage, keypoints, imageDescriptors[i] );
-#ifdef DEBUG_DESC_PROGRESS
-            cout << " ...DONE " << static_cast<int>(static_cast<float>(i+1)/static_cast<float>(images.size())*100.0)
-                 << " % complete" << endl;
-#endif
-            if( !imageDescriptors[i].empty() )
-            {
-                if( !writeBowImageDescriptor( filename, imageDescriptors[i] ) )
-                {
-                    cout << "Error: file " << filename << "can not be opened to write bow image descriptor" << endl;
-                    exit(-1);
-                }
-            }
-        }
-    }
-}
-
-static void removeEmptyBowImageDescriptors( vector<ObdImage>& images, vector<Mat>& bowImageDescriptors,
-                                     vector<char>& objectPresent )
-{
-    CV_Assert( !images.empty() );
-    for( int i = (int)images.size() - 1; i >= 0; i-- )
-    {
-        bool res = bowImageDescriptors[i].empty();
-        if( res )
-        {
-            cout << "Removing image " << images[i].id << " due to no descriptors..." << endl;
-            images.erase( images.begin() + i );
-            bowImageDescriptors.erase( bowImageDescriptors.begin() + i );
-            objectPresent.erase( objectPresent.begin() + i );
-        }
-    }
-}
-
-static void removeBowImageDescriptorsByCount( vector<ObdImage>& images, vector<Mat> bowImageDescriptors, vector<char> objectPresent,
-                                       const SVMTrainParamsExt& svmParamsExt, int descsToDelete )
-{
-    RNG& rng = theRNG();
-    int pos_ex = (int)std::count( objectPresent.begin(), objectPresent.end(), (char)1 );
-    int neg_ex = (int)std::count( objectPresent.begin(), objectPresent.end(), (char)0 );
-
-    while( descsToDelete != 0 )
-    {
-        int randIdx = rng((unsigned)images.size());
-
-        // Prefer positive training examples according to svmParamsExt.targetRatio if required
-        if( objectPresent[randIdx] )
-        {
-            if( (static_cast<float>(pos_ex)/static_cast<float>(neg_ex+pos_ex)  < svmParamsExt.targetRatio) &&
-                (neg_ex > 0) && (svmParamsExt.balanceClasses == false) )
-            { continue; }
-            else
-            { pos_ex--; }
-        }
-        else
-        { neg_ex--; }
-
-        images.erase( images.begin() + randIdx );
-        bowImageDescriptors.erase( bowImageDescriptors.begin() + randIdx );
-        objectPresent.erase( objectPresent.begin() + randIdx );
-
-        descsToDelete--;
-    }
-    CV_Assert( bowImageDescriptors.size() == objectPresent.size() );
-}
-
-static void setSVMParams( SVM::Params& svmParams, Mat& class_wts_cv, const Mat& responses, bool balanceClasses )
-{
-    int pos_ex = countNonZero(responses == 1);
-    int neg_ex = countNonZero(responses == -1);
-    cout << pos_ex << " positive training samples; " << neg_ex << " negative training samples" << endl;
-
-    svmParams.svmType = SVM::C_SVC;
-    svmParams.kernelType = SVM::RBF;
-    if( balanceClasses )
-    {
-        Mat class_wts( 2, 1, CV_32FC1 );
-        // The first training sample determines the '+1' class internally, even if it is negative,
-        // so store whether this is the case so that the class weights can be reversed accordingly.
-        bool reversed_classes = (responses.at<float>(0) < 0.f);
-        if( reversed_classes == false )
-        {
-            class_wts.at<float>(0) = static_cast<float>(pos_ex)/static_cast<float>(pos_ex+neg_ex); // weighting for costs of positive class + 1 (i.e. cost of false positive - larger gives greater cost)
-            class_wts.at<float>(1) = static_cast<float>(neg_ex)/static_cast<float>(pos_ex+neg_ex); // weighting for costs of negative class - 1 (i.e. cost of false negative)
-        }
-        else
-        {
-            class_wts.at<float>(0) = static_cast<float>(neg_ex)/static_cast<float>(pos_ex+neg_ex);
-            class_wts.at<float>(1) = static_cast<float>(pos_ex)/static_cast<float>(pos_ex+neg_ex);
-        }
-        class_wts_cv = class_wts;
-        svmParams.classWeights = class_wts_cv;
-    }
-}
-
-static void setSVMTrainAutoParams( ParamGrid& c_grid, ParamGrid& gamma_grid,
-                            ParamGrid& p_grid, ParamGrid& nu_grid,
-                            ParamGrid& coef_grid, ParamGrid& degree_grid )
-{
-    c_grid = SVM::getDefaultGrid(SVM::C);
-
-    gamma_grid = SVM::getDefaultGrid(SVM::GAMMA);
-
-    p_grid = SVM::getDefaultGrid(SVM::P);
-    p_grid.logStep = 0;
-
-    nu_grid = SVM::getDefaultGrid(SVM::NU);
-    nu_grid.logStep = 0;
-
-    coef_grid = SVM::getDefaultGrid(SVM::COEF);
-    coef_grid.logStep = 0;
-
-    degree_grid = SVM::getDefaultGrid(SVM::DEGREE);
-    degree_grid.logStep = 0;
-}
-
-static Ptr<SVM> trainSVMClassifier( const SVMTrainParamsExt& svmParamsExt, const string& objClassName, VocData& vocData,
-                         Ptr<BOWImgDescriptorExtractor>& bowExtractor, const Ptr<FeatureDetector>& fdetector,
-                         const string& resPath )
-{
-    /* first check if a previously trained svm for the current class has been saved to file */
-    string svmFilename = resPath + svmsDir + "/" + objClassName + ".xml.gz";
-    Ptr<SVM> svm;
-
-    FileStorage fs( svmFilename, FileStorage::READ);
-    if( fs.isOpened() )
-    {
-        cout << "*** LOADING SVM CLASSIFIER FOR CLASS " << objClassName << " ***" << endl;
-        svm = StatModel::load<SVM>( svmFilename );
-    }
-    else
-    {
-        cout << "*** TRAINING CLASSIFIER FOR CLASS " << objClassName << " ***" << endl;
-        cout << "CALCULATING BOW VECTORS FOR TRAINING SET OF " << objClassName << "..." << endl;
-
-        // Get classification ground truth for images in the training set
-        vector<ObdImage> images;
-        vector<Mat> bowImageDescriptors;
-        vector<char> objectPresent;
-        vocData.getClassImages( objClassName, CV_OBD_TRAIN, images, objectPresent );
-
-        // Compute the bag of words vector for each image in the training set.
-        calculateImageDescriptors( images, bowImageDescriptors, bowExtractor, fdetector, resPath );
-
-        // Remove any images for which descriptors could not be calculated
-        removeEmptyBowImageDescriptors( images, bowImageDescriptors, objectPresent );
-
-        CV_Assert( svmParamsExt.descPercent > 0.f && svmParamsExt.descPercent <= 1.f );
-        if( svmParamsExt.descPercent < 1.f )
-        {
-            int descsToDelete = static_cast<int>(static_cast<float>(images.size())*(1.0-svmParamsExt.descPercent));
-
-            cout << "Using " << (images.size() - descsToDelete) << " of " << images.size() <<
-                    " descriptors for training (" << svmParamsExt.descPercent*100.0 << " %)" << endl;
-            removeBowImageDescriptorsByCount( images, bowImageDescriptors, objectPresent, svmParamsExt, descsToDelete );
-        }
-
-        // Prepare the input matrices for SVM training.
-        Mat trainData( (int)images.size(), bowExtractor->getVocabulary().rows, CV_32FC1 );
-        Mat responses( (int)images.size(), 1, CV_32SC1 );
-
-        // Transfer bag of words vectors and responses across to the training data matrices
-        for( size_t imageIdx = 0; imageIdx < images.size(); imageIdx++ )
-        {
-            // Transfer image descriptor (bag of words vector) to training data matrix
-            Mat submat = trainData.row((int)imageIdx);
-            if( bowImageDescriptors[imageIdx].cols != bowExtractor->descriptorSize() )
-            {
-                cout << "Error: computed bow image descriptor size " << bowImageDescriptors[imageIdx].cols
-                     << " differs from vocabulary size" << bowExtractor->getVocabulary().cols << endl;
-                exit(-1);
-            }
-            bowImageDescriptors[imageIdx].copyTo( submat );
-
-            // Set response value
-            responses.at<int>((int)imageIdx) = objectPresent[imageIdx] ? 1 : -1;
-        }
-
-        cout << "TRAINING SVM FOR CLASS ..." << objClassName << "..." << endl;
-        SVM::Params svmParams;
-        Mat class_wts_cv;
-        setSVMParams( svmParams, class_wts_cv, responses, svmParamsExt.balanceClasses );
-        svm = SVM::create(svmParams);
-        ParamGrid c_grid, gamma_grid, p_grid, nu_grid, coef_grid, degree_grid;
-        setSVMTrainAutoParams( c_grid, gamma_grid,  p_grid, nu_grid, coef_grid, degree_grid );
-
-        svm->trainAuto(TrainData::create(trainData, ROW_SAMPLE, responses), 10,
-                       c_grid, gamma_grid, p_grid, nu_grid, coef_grid, degree_grid);
-        cout << "SVM TRAINING FOR CLASS " << objClassName << " COMPLETED" << endl;
-
-        svm->save( svmFilename );
-        cout << "SAVED CLASSIFIER TO FILE" << endl;
-    }
-    return svm;
-}
-
-static void computeConfidences( const Ptr<SVM>& svm, const string& objClassName, VocData& vocData,
-                         Ptr<BOWImgDescriptorExtractor>& bowExtractor, const Ptr<FeatureDetector>& fdetector,
-                         const string& resPath )
-{
-    cout << "*** CALCULATING CONFIDENCES FOR CLASS " << objClassName << " ***" << endl;
-    cout << "CALCULATING BOW VECTORS FOR TEST SET OF " << objClassName << "..." << endl;
-    // Get classification ground truth for images in the test set
-    vector<ObdImage> images;
-    vector<Mat> bowImageDescriptors;
-    vector<char> objectPresent;
-    vocData.getClassImages( objClassName, CV_OBD_TEST, images, objectPresent );
-
-    // Compute the bag of words vector for each image in the test set
-    calculateImageDescriptors( images, bowImageDescriptors, bowExtractor, fdetector, resPath );
-    // Remove any images for which descriptors could not be calculated
-    removeEmptyBowImageDescriptors( images, bowImageDescriptors, objectPresent);
-
-    // Use the bag of words vectors to calculate classifier output for each image in test set
-    cout << "CALCULATING CONFIDENCE SCORES FOR CLASS " << objClassName << "..." << endl;
-    vector<float> confidences( images.size() );
-    float signMul = 1.f;
-    for( size_t imageIdx = 0; imageIdx < images.size(); imageIdx++ )
-    {
-        if( imageIdx == 0 )
-        {
-            // In the first iteration, determine the sign of the positive class
-            float classVal = confidences[imageIdx] = svm->predict( bowImageDescriptors[imageIdx], noArray(), 0 );
-            float scoreVal = confidences[imageIdx] = svm->predict( bowImageDescriptors[imageIdx], noArray(), StatModel::RAW_OUTPUT );
-            signMul = (classVal < 0) == (scoreVal < 0) ? 1.f : -1.f;
-        }
-        // svm output of decision function
-        confidences[imageIdx] = signMul * svm->predict( bowImageDescriptors[imageIdx], noArray(), StatModel::RAW_OUTPUT );
-    }
-
-    cout << "WRITING QUERY RESULTS TO VOC RESULTS FILE FOR CLASS " << objClassName << "..." << endl;
-    vocData.writeClassifierResultsFile( resPath + plotsDir, objClassName, CV_OBD_TEST, images, confidences, 1, true );
-
-    cout << "DONE - " << objClassName << endl;
-    cout << "---------------------------------------------------------------" << endl;
-}
-
-static void computeGnuPlotOutput( const string& resPath, const string& objClassName, VocData& vocData )
-{
-    vector<float> precision, recall;
-    float ap;
-
-    const string resultFile = vocData.getResultsFilename( objClassName, CV_VOC_TASK_CLASSIFICATION, CV_OBD_TEST);
-    const string plotFile = resultFile.substr(0, resultFile.size()-4) + ".plt";
-
-    cout << "Calculating precision recall curve for class '" <<objClassName << "'" << endl;
-    vocData.calcClassifierPrecRecall( resPath + plotsDir + "/" + resultFile, precision, recall, ap, true );
-    cout << "Outputting to GNUPlot file..." << endl;
-    vocData.savePrecRecallToGnuplot( resPath + plotsDir + "/" + plotFile, precision, recall, ap, objClassName, CV_VOC_PLOT_PNG );
-}
-
-
-
-
-int main(int argc, char** argv)
-{
-    if( argc != 3 && argc != 6 )
-    {
-        help(argv);
-        return -1;
-    }
-
-    cv::initModule_nonfree();
-
-    const string vocPath = argv[1], resPath = argv[2];
-
-    // Read or set default parameters
-    string vocName;
-    DDMParams ddmParams;
-    VocabTrainParams vocabTrainParams;
-    SVMTrainParamsExt svmTrainParamsExt;
-
-    makeUsedDirs( resPath );
-
-    FileStorage paramsFS( resPath + "/" + paramsFile, FileStorage::READ );
-    if( paramsFS.isOpened() )
-    {
-       readUsedParams( paramsFS.root(), vocName, ddmParams, vocabTrainParams, svmTrainParamsExt );
-       CV_Assert( vocName == getVocName(vocPath) );
-    }
-    else
-    {
-        vocName = getVocName(vocPath);
-        if( argc!= 6 )
-        {
-            cout << "Feature detector, descriptor extractor, descriptor matcher must be set" << endl;
-            return -1;
-        }
-        ddmParams = DDMParams( argv[3], argv[4], argv[5] ); // from command line
-        // vocabTrainParams and svmTrainParamsExt is set by defaults
-        paramsFS.open( resPath + "/" + paramsFile, FileStorage::WRITE );
-        if( paramsFS.isOpened() )
-        {
-            writeUsedParams( paramsFS, vocName, ddmParams, vocabTrainParams, svmTrainParamsExt );
-            paramsFS.release();
-        }
-        else
-        {
-            cout << "File " << (resPath + "/" + paramsFile) << "can not be opened to write" << endl;
-            return -1;
-        }
-    }
-
-    // Create detector, descriptor, matcher.
-    Ptr<FeatureDetector> featureDetector = FeatureDetector::create( ddmParams.detectorType );
-    Ptr<DescriptorExtractor> descExtractor = DescriptorExtractor::create( ddmParams.descriptorType );
-    Ptr<BOWImgDescriptorExtractor> bowExtractor;
-    if( !featureDetector || !descExtractor )
-    {
-        cout << "featureDetector or descExtractor was not created" << endl;
-        return -1;
-    }
-    {
-        Ptr<DescriptorMatcher> descMatcher = DescriptorMatcher::create( ddmParams.matcherType );
-        if( !featureDetector || !descExtractor || !descMatcher )
-        {
-            cout << "descMatcher was not created" << endl;
-            return -1;
-        }
-        bowExtractor = makePtr<BOWImgDescriptorExtractor>( descExtractor, descMatcher );
-    }
-
-    // Print configuration to screen
-    printUsedParams( vocPath, resPath, ddmParams, vocabTrainParams, svmTrainParamsExt );
-    // Create object to work with VOC
-    VocData vocData( vocPath, false );
-
-    // 1. Train visual word vocabulary if a pre-calculated vocabulary file doesn't already exist from previous run
-    Mat vocabulary = trainVocabulary( resPath + "/" + vocabularyFile, vocData, vocabTrainParams,
-                                      featureDetector, descExtractor );
-    bowExtractor->setVocabulary( vocabulary );
-
-    // 2. Train a classifier and run a sample query for each object class
-    const vector<string>& objClasses = vocData.getObjectClasses(); // object class list
-    for( size_t classIdx = 0; classIdx < objClasses.size(); ++classIdx )
-    {
-        // Train a classifier on train dataset
-        Ptr<SVM> svm = trainSVMClassifier( svmTrainParamsExt, objClasses[classIdx], vocData,
-                                           bowExtractor, featureDetector, resPath );
-
-        // Now use the classifier over all images on the test dataset and rank according to score order
-        // also calculating precision-recall etc.
-        computeConfidences( svm, objClasses[classIdx], vocData,
-                            bowExtractor, featureDetector, resPath );
-        // Calculate precision/recall/ap and use GNUPlot to output to a pdf file
-        computeGnuPlotOutput( resPath, objClasses[classIdx], vocData );
-    }
-    return 0;
-}
diff --git a/samples/cpp/descriptor_extractor_matcher.cpp b/samples/cpp/descriptor_extractor_matcher.cpp
deleted file mode 100644
index 6f25ac48d7..0000000000
--- a/samples/cpp/descriptor_extractor_matcher.cpp
+++ /dev/null
@@ -1,305 +0,0 @@
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/calib3d/calib3d.hpp"
-#include "opencv2/imgproc/imgproc.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include "opencv2/nonfree/nonfree.hpp"
-
-#include <iostream>
-
-using namespace cv;
-using namespace std;
-
-static void help(char** argv)
-{
-    cout << "\nThis program demonstrats keypoint finding and matching between 2 images using features2d framework.\n"
-     << "   In one case, the 2nd image is synthesized by homography from the first, in the second case, there are 2 images\n"
-     << "\n"
-     << "Case1: second image is obtained from the first (given) image using random generated homography matrix\n"
-     << argv[0] << " [detectorType] [descriptorType] [matcherType] [matcherFilterType] [image] [evaluate(0 or 1)]\n"
-     << "Example of case1:\n"
-     << "./descriptor_extractor_matcher SURF SURF FlannBased NoneFilter cola.jpg 0\n"
-     << "\n"
-     << "Case2: both images are given. If ransacReprojThreshold>=0 then homography matrix are calculated\n"
-     << argv[0] << " [detectorType] [descriptorType] [matcherType] [matcherFilterType] [image1] [image2] [ransacReprojThreshold]\n"
-     << "\n"
-     << "Matches are filtered using homography matrix in case1 and case2 (if ransacReprojThreshold>=0)\n"
-     << "Example of case2:\n"
-     << "./descriptor_extractor_matcher SURF SURF BruteForce CrossCheckFilter cola1.jpg cola2.jpg 3\n"
-     << "\n"
-     << "Possible detectorType values: see in documentation on createFeatureDetector().\n"
-     << "Possible descriptorType values: see in documentation on createDescriptorExtractor().\n"
-     << "Possible matcherType values: see in documentation on createDescriptorMatcher().\n"
-     << "Possible matcherFilterType values: NoneFilter, CrossCheckFilter." << endl;
-}
-
-#define DRAW_RICH_KEYPOINTS_MODE     0
-#define DRAW_OUTLIERS_MODE           0
-
-const string winName = "correspondences";
-
-enum { NONE_FILTER = 0, CROSS_CHECK_FILTER = 1 };
-
-static int getMatcherFilterType( const string& str )
-{
-    if( str == "NoneFilter" )
-        return NONE_FILTER;
-    if( str == "CrossCheckFilter" )
-        return CROSS_CHECK_FILTER;
-    CV_Error(Error::StsBadArg, "Invalid filter name");
-    return -1;
-}
-
-static void simpleMatching( Ptr<DescriptorMatcher>& descriptorMatcher,
-                     const Mat& descriptors1, const Mat& descriptors2,
-                     vector<DMatch>& matches12 )
-{
-    vector<DMatch> matches;
-    descriptorMatcher->match( descriptors1, descriptors2, matches12 );
-}
-
-static void crossCheckMatching( Ptr<DescriptorMatcher>& descriptorMatcher,
-                         const Mat& descriptors1, const Mat& descriptors2,
-                         vector<DMatch>& filteredMatches12, int knn=1 )
-{
-    filteredMatches12.clear();
-    vector<vector<DMatch> > matches12, matches21;
-    descriptorMatcher->knnMatch( descriptors1, descriptors2, matches12, knn );
-    descriptorMatcher->knnMatch( descriptors2, descriptors1, matches21, knn );
-    for( size_t m = 0; m < matches12.size(); m++ )
-    {
-        bool findCrossCheck = false;
-        for( size_t fk = 0; fk < matches12[m].size(); fk++ )
-        {
-            DMatch forward = matches12[m][fk];
-
-            for( size_t bk = 0; bk < matches21[forward.trainIdx].size(); bk++ )
-            {
-                DMatch backward = matches21[forward.trainIdx][bk];
-                if( backward.trainIdx == forward.queryIdx )
-                {
-                    filteredMatches12.push_back(forward);
-                    findCrossCheck = true;
-                    break;
-                }
-            }
-            if( findCrossCheck ) break;
-        }
-    }
-}
-
-static void warpPerspectiveRand( const Mat& src, Mat& dst, Mat& H, RNG& rng )
-{
-    H.create(3, 3, CV_32FC1);
-    H.at<float>(0,0) = rng.uniform( 0.8f, 1.2f);
-    H.at<float>(0,1) = rng.uniform(-0.1f, 0.1f);
-    H.at<float>(0,2) = rng.uniform(-0.1f, 0.1f)*src.cols;
-    H.at<float>(1,0) = rng.uniform(-0.1f, 0.1f);
-    H.at<float>(1,1) = rng.uniform( 0.8f, 1.2f);
-    H.at<float>(1,2) = rng.uniform(-0.1f, 0.1f)*src.rows;
-    H.at<float>(2,0) = rng.uniform( -1e-4f, 1e-4f);
-    H.at<float>(2,1) = rng.uniform( -1e-4f, 1e-4f);
-    H.at<float>(2,2) = rng.uniform( 0.8f, 1.2f);
-
-    warpPerspective( src, dst, H, src.size() );
-}
-
-static void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
-                  vector<KeyPoint>& keypoints1, const Mat& descriptors1,
-                  Ptr<FeatureDetector>& detector, Ptr<DescriptorExtractor>& descriptorExtractor,
-                  Ptr<DescriptorMatcher>& descriptorMatcher, int matcherFilter, bool eval,
-                  double ransacReprojThreshold, RNG& rng )
-{
-    CV_Assert( !img1.empty() );
-    Mat H12;
-    if( isWarpPerspective )
-        warpPerspectiveRand(img1, img2, H12, rng );
-    else
-        CV_Assert( !img2.empty()/* && img2.cols==img1.cols && img2.rows==img1.rows*/ );
-
-    cout << endl << "< Extracting keypoints from second image..." << endl;
-    vector<KeyPoint> keypoints2;
-    detector->detect( img2, keypoints2 );
-    cout << keypoints2.size() << " points" << endl << ">" << endl;
-
-    if( !H12.empty() && eval )
-    {
-        cout << "< Evaluate feature detector..." << endl;
-        float repeatability;
-        int correspCount;
-        evaluateFeatureDetector( img1, img2, H12, &keypoints1, &keypoints2, repeatability, correspCount );
-        cout << "repeatability = " << repeatability << endl;
-        cout << "correspCount = " << correspCount << endl;
-        cout << ">" << endl;
-    }
-
-    cout << "< Computing descriptors for keypoints from second image..." << endl;
-    Mat descriptors2;
-    descriptorExtractor->compute( img2, keypoints2, descriptors2 );
-    cout << ">" << endl;
-
-    cout << "< Matching descriptors..." << endl;
-    vector<DMatch> filteredMatches;
-    switch( matcherFilter )
-    {
-    case CROSS_CHECK_FILTER :
-        crossCheckMatching( descriptorMatcher, descriptors1, descriptors2, filteredMatches, 1 );
-        break;
-    default :
-        simpleMatching( descriptorMatcher, descriptors1, descriptors2, filteredMatches );
-    }
-    cout << ">" << endl;
-
-    if( !H12.empty() && eval )
-    {
-        cout << "< Evaluate descriptor matcher..." << endl;
-        vector<Point2f> curve;
-        Ptr<GenericDescriptorMatcher> gdm = makePtr<VectorDescriptorMatcher>( descriptorExtractor, descriptorMatcher );
-        evaluateGenericDescriptorMatcher( img1, img2, H12, keypoints1, keypoints2, 0, 0, curve, gdm );
-
-        Point2f firstPoint = *curve.begin();
-        Point2f lastPoint = *curve.rbegin();
-        int prevPointIndex = -1;
-        cout << "1-precision = " << firstPoint.x << "; recall = " << firstPoint.y << endl;
-        for( float l_p = 0; l_p <= 1 + FLT_EPSILON; l_p+=0.05f )
-        {
-            int nearest = getNearestPoint( curve, l_p );
-            if( nearest >= 0 )
-            {
-                Point2f curPoint = curve[nearest];
-                if( curPoint.x > firstPoint.x && curPoint.x < lastPoint.x && nearest != prevPointIndex )
-                {
-                    cout << "1-precision = " << curPoint.x << "; recall = " << curPoint.y << endl;
-                    prevPointIndex = nearest;
-                }
-            }
-        }
-        cout << "1-precision = " << lastPoint.x << "; recall = " << lastPoint.y << endl;
-        cout << ">" << endl;
-    }
-
-    vector<int> queryIdxs( filteredMatches.size() ), trainIdxs( filteredMatches.size() );
-    for( size_t i = 0; i < filteredMatches.size(); i++ )
-    {
-        queryIdxs[i] = filteredMatches[i].queryIdx;
-        trainIdxs[i] = filteredMatches[i].trainIdx;
-    }
-
-    if( !isWarpPerspective && ransacReprojThreshold >= 0 )
-    {
-        cout << "< Computing homography (RANSAC)..." << endl;
-        vector<Point2f> points1; KeyPoint::convert(keypoints1, points1, queryIdxs);
-        vector<Point2f> points2; KeyPoint::convert(keypoints2, points2, trainIdxs);
-        H12 = findHomography( Mat(points1), Mat(points2), RANSAC, ransacReprojThreshold );
-        cout << ">" << endl;
-    }
-
-    Mat drawImg;
-    if( !H12.empty() ) // filter outliers
-    {
-        vector<char> matchesMask( filteredMatches.size(), 0 );
-        vector<Point2f> points1; KeyPoint::convert(keypoints1, points1, queryIdxs);
-        vector<Point2f> points2; KeyPoint::convert(keypoints2, points2, trainIdxs);
-        Mat points1t; perspectiveTransform(Mat(points1), points1t, H12);
-
-        double maxInlierDist = ransacReprojThreshold < 0 ? 3 : ransacReprojThreshold;
-        for( size_t i1 = 0; i1 < points1.size(); i1++ )
-        {
-            if( norm(points2[i1] - points1t.at<Point2f>((int)i1,0)) <= maxInlierDist ) // inlier
-                matchesMask[i1] = 1;
-        }
-        // draw inliers
-        drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, Scalar(0, 255, 0), Scalar(255, 0, 0), matchesMask
-#if DRAW_RICH_KEYPOINTS_MODE
-                     , DrawMatchesFlags::DRAW_RICH_KEYPOINTS
-#endif
-                   );
-
-#if DRAW_OUTLIERS_MODE
-        // draw outliers
-        for( size_t i1 = 0; i1 < matchesMask.size(); i1++ )
-            matchesMask[i1] = !matchesMask[i1];
-        drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, Scalar(255, 0, 0), Scalar(0, 0, 255), matchesMask,
-                     DrawMatchesFlags::DRAW_OVER_OUTIMG | DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );
-#endif
-
-        cout << "Number of inliers: " << countNonZero(matchesMask) << endl;
-    }
-    else
-        drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg );
-
-    imshow( winName, drawImg );
-}
-
-
-int main(int argc, char** argv)
-{
-    if( argc != 7 && argc != 8 )
-    {
-        help(argv);
-        return -1;
-    }
-
-    cv::initModule_nonfree();
-
-    bool isWarpPerspective = argc == 7;
-    double ransacReprojThreshold = -1;
-    if( !isWarpPerspective )
-        ransacReprojThreshold = atof(argv[7]);
-
-    cout << "< Creating detector, descriptor extractor and descriptor matcher ..." << endl;
-    Ptr<FeatureDetector> detector = FeatureDetector::create( argv[1] );
-    Ptr<DescriptorExtractor> descriptorExtractor = DescriptorExtractor::create( argv[2] );
-    Ptr<DescriptorMatcher> descriptorMatcher = DescriptorMatcher::create( argv[3] );
-    int mactherFilterType = getMatcherFilterType( argv[4] );
-    bool eval = !isWarpPerspective ? false : (atoi(argv[6]) == 0 ? false : true);
-    cout << ">" << endl;
-    if( !detector || !descriptorExtractor || !descriptorMatcher )
-    {
-        cout << "Can not create detector or descriptor exstractor or descriptor matcher of given types" << endl;
-        return -1;
-    }
-
-    cout << "< Reading the images..." << endl;
-    Mat img1 = imread( argv[5] ), img2;
-    if( !isWarpPerspective )
-        img2 = imread( argv[6] );
-    cout << ">" << endl;
-    if( img1.empty() || (!isWarpPerspective && img2.empty()) )
-    {
-        cout << "Can not read images" << endl;
-        return -1;
-    }
-
-    cout << endl << "< Extracting keypoints from first image..." << endl;
-    vector<KeyPoint> keypoints1;
-    detector->detect( img1, keypoints1 );
-    cout << keypoints1.size() << " points" << endl << ">" << endl;
-
-    cout << "< Computing descriptors for keypoints from first image..." << endl;
-    Mat descriptors1;
-    descriptorExtractor->compute( img1, keypoints1, descriptors1 );
-    cout << ">" << endl;
-
-    namedWindow(winName, 1);
-    RNG rng = theRNG();
-    doIteration( img1, img2, isWarpPerspective, keypoints1, descriptors1,
-                 detector, descriptorExtractor, descriptorMatcher, mactherFilterType, eval,
-                 ransacReprojThreshold, rng );
-    for(;;)
-    {
-        char c = (char)waitKey(0);
-        if( c == '\x1b' ) // esc
-        {
-            cout << "Exiting ..." << endl;
-            break;
-        }
-        else if( isWarpPerspective )
-        {
-            doIteration( img1, img2, isWarpPerspective, keypoints1, descriptors1,
-                         detector, descriptorExtractor, descriptorMatcher, mactherFilterType, eval,
-                         ransacReprojThreshold, rng );
-        }
-    }
-    return 0;
-}
diff --git a/samples/cpp/shape_transformation.cpp b/samples/cpp/shape_transformation.cpp
deleted file mode 100644
index 62e5554101..0000000000
--- a/samples/cpp/shape_transformation.cpp
+++ /dev/null
@@ -1,75 +0,0 @@
-/*
- * shape_context.cpp -- Shape context demo for shape matching
- */
-
-#include "opencv2/shape.hpp"
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui.hpp"
-#include "opencv2/imgproc.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include "opencv2/nonfree/nonfree.hpp"
-#include <opencv2/core/utility.hpp>
-#include <iostream>
-#include <string>
-
-using namespace std;
-using namespace cv;
-
-static void help()
-{
-    printf("\nThis program demonstrates how to use common interface for shape transformers\n"
-           "Call\n"
-           "shape_transformation [image1] [image2]\n");
-}
-
-int main(int argc, char** argv)
-{
-    help();
-    Mat img1 = imread(argv[1], IMREAD_GRAYSCALE);
-    Mat img2 = imread(argv[2], IMREAD_GRAYSCALE);
-    if(img1.empty() || img2.empty() || argc<2)
-    {
-        printf("Can't read one of the images\n");
-        return -1;
-    }
-
-    // detecting keypoints
-    SurfFeatureDetector detector(5000);
-    vector<KeyPoint> keypoints1, keypoints2;
-    detector.detect(img1, keypoints1);
-    detector.detect(img2, keypoints2);
-
-    // computing descriptors
-    SurfDescriptorExtractor extractor;
-    Mat descriptors1, descriptors2;
-    extractor.compute(img1, keypoints1, descriptors1);
-    extractor.compute(img2, keypoints2, descriptors2);
-
-    // matching descriptors
-    BFMatcher matcher(extractor.defaultNorm());
-    vector<DMatch> matches;
-    matcher.match(descriptors1, descriptors2, matches);
-
-    // drawing the results
-    namedWindow("matches", 1);
-    Mat img_matches;
-    drawMatches(img1, keypoints1, img2, keypoints2, matches, img_matches);
-    imshow("matches", img_matches);
-
-    // extract points
-    vector<Point2f> pts1, pts2;
-    for (size_t ii=0; ii<keypoints1.size(); ii++)
-        pts1.push_back( keypoints1[ii].pt );
-    for (size_t ii=0; ii<keypoints2.size(); ii++)
-        pts2.push_back( keypoints2[ii].pt );
-
-    // Apply TPS
-    Ptr<ThinPlateSplineShapeTransformer> mytps = createThinPlateSplineShapeTransformer(25000); //TPS with a relaxed constraint
-    mytps->estimateTransformation(pts1, pts2, matches);
-    mytps->warpImage(img2, img2);
-
-    imshow("Tranformed", img2);
-    waitKey(0);
-
-    return 0;
-}
diff --git a/samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp b/samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp
deleted file mode 100644
index e861a5f108..0000000000
--- a/samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp
+++ /dev/null
@@ -1,102 +0,0 @@
-/**
- * @file SURF_FlannMatcher
- * @brief SURF detector + descriptor + FLANN Matcher
- * @author A. Huaman
- */
-
-#include <stdio.h>
-#include <iostream>
-#include "opencv2/core/core.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/nonfree/features2d.hpp"
-
-using namespace std;
-using namespace cv;
-
-void readme();
-
-/**
- * @function main
- * @brief Main function
- */
-int main( int argc, char** argv )
-{
-  if( argc != 3 )
-  { readme(); return -1; }
-
-  Mat img_1 = imread( argv[1], IMREAD_GRAYSCALE );
-  Mat img_2 = imread( argv[2], IMREAD_GRAYSCALE );
-
-  if( !img_1.data || !img_2.data )
-  { std::cout<< " --(!) Error reading images " << std::endl; return -1; }
-
-  //-- Step 1: Detect the keypoints using SURF Detector
-  int minHessian = 400;
-
-  SurfFeatureDetector detector( minHessian );
-
-  std::vector<KeyPoint> keypoints_1, keypoints_2;
-
-  detector.detect( img_1, keypoints_1 );
-  detector.detect( img_2, keypoints_2 );
-
-  //-- Step 2: Calculate descriptors (feature vectors)
-  SurfDescriptorExtractor extractor;
-
-  Mat descriptors_1, descriptors_2;
-
-  extractor.compute( img_1, keypoints_1, descriptors_1 );
-  extractor.compute( img_2, keypoints_2, descriptors_2 );
-
-  //-- Step 3: Matching descriptor vectors using FLANN matcher
-  FlannBasedMatcher matcher;
-  std::vector< DMatch > matches;
-  matcher.match( descriptors_1, descriptors_2, matches );
-
-  double max_dist = 0; double min_dist = 100;
-
-  //-- Quick calculation of max and min distances between keypoints
-  for( int i = 0; i < descriptors_1.rows; i++ )
-  { double dist = matches[i].distance;
-    if( dist < min_dist ) min_dist = dist;
-    if( dist > max_dist ) max_dist = dist;
-  }
-
-  printf("-- Max dist : %f \n", max_dist );
-  printf("-- Min dist : %f \n", min_dist );
-
-  //-- Draw only "good" matches (i.e. whose distance is less than 2*min_dist,
-  //-- or a small arbitary value ( 0.02 ) in the event that min_dist is very
-  //-- small)
-  //-- PS.- radiusMatch can also be used here.
-  std::vector< DMatch > good_matches;
-
-  for( int i = 0; i < descriptors_1.rows; i++ )
-  { if( matches[i].distance <= max(2*min_dist, 0.02) )
-    { good_matches.push_back( matches[i]); }
-  }
-
-  //-- Draw only "good" matches
-  Mat img_matches;
-  drawMatches( img_1, keypoints_1, img_2, keypoints_2,
-               good_matches, img_matches, Scalar::all(-1), Scalar::all(-1),
-               vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );
-
-  //-- Show detected matches
-  imshow( "Good Matches", img_matches );
-
-  for( int i = 0; i < (int)good_matches.size(); i++ )
-  { printf( "-- Good Match [%d] Keypoint 1: %d  -- Keypoint 2: %d  \n", i, good_matches[i].queryIdx, good_matches[i].trainIdx ); }
-
-  waitKey(0);
-
-  return 0;
-}
-
-/**
- * @function readme
- */
-void readme()
-{ std::cout << " Usage: ./SURF_FlannMatcher <img1> <img2>" << std::endl; }
diff --git a/samples/cpp/tutorial_code/features2D/SURF_Homography.cpp b/samples/cpp/tutorial_code/features2D/SURF_Homography.cpp
deleted file mode 100644
index f3d4df88fb..0000000000
--- a/samples/cpp/tutorial_code/features2D/SURF_Homography.cpp
+++ /dev/null
@@ -1,126 +0,0 @@
-/**
- * @file SURF_Homography
- * @brief SURF detector + descriptor + FLANN Matcher + FindHomography
- * @author A. Huaman
- */
-
-#include <stdio.h>
-#include <iostream>
-#include "opencv2/core/core.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/calib3d/calib3d.hpp"
-#include "opencv2/nonfree/features2d.hpp"
-
-using namespace std;
-using namespace cv;
-
-void readme();
-
-/**
- * @function main
- * @brief Main function
- */
-int main( int argc, char** argv )
-{
-  if( argc != 3 )
-  { readme(); return -1; }
-
-  Mat img_object = imread( argv[1], IMREAD_GRAYSCALE );
-  Mat img_scene = imread( argv[2], IMREAD_GRAYSCALE );
-
-  if( !img_object.data || !img_scene.data )
-  { std::cout<< " --(!) Error reading images " << std::endl; return -1; }
-
-  //-- Step 1: Detect the keypoints using SURF Detector
-  int minHessian = 400;
-
-  SurfFeatureDetector detector( minHessian );
-
-  std::vector<KeyPoint> keypoints_object, keypoints_scene;
-
-  detector.detect( img_object, keypoints_object );
-  detector.detect( img_scene, keypoints_scene );
-
-  //-- Step 2: Calculate descriptors (feature vectors)
-  SurfDescriptorExtractor extractor;
-
-  Mat descriptors_object, descriptors_scene;
-
-  extractor.compute( img_object, keypoints_object, descriptors_object );
-  extractor.compute( img_scene, keypoints_scene, descriptors_scene );
-
-  //-- Step 3: Matching descriptor vectors using FLANN matcher
-  FlannBasedMatcher matcher;
-  std::vector< DMatch > matches;
-  matcher.match( descriptors_object, descriptors_scene, matches );
-
-  double max_dist = 0; double min_dist = 100;
-
-  //-- Quick calculation of max and min distances between keypoints
-  for( int i = 0; i < descriptors_object.rows; i++ )
-  { double dist = matches[i].distance;
-    if( dist < min_dist ) min_dist = dist;
-    if( dist > max_dist ) max_dist = dist;
-  }
-
-  printf("-- Max dist : %f \n", max_dist );
-  printf("-- Min dist : %f \n", min_dist );
-
-  //-- Draw only "good" matches (i.e. whose distance is less than 3*min_dist )
-  std::vector< DMatch > good_matches;
-
-  for( int i = 0; i < descriptors_object.rows; i++ )
-  { if( matches[i].distance < 3*min_dist )
-    { good_matches.push_back( matches[i]); }
-  }
-
-  Mat img_matches;
-  drawMatches( img_object, keypoints_object, img_scene, keypoints_scene,
-               good_matches, img_matches, Scalar::all(-1), Scalar::all(-1),
-               vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );
-
-
-  //-- Localize the object from img_1 in img_2
-  std::vector<Point2f> obj;
-  std::vector<Point2f> scene;
-
-  for( size_t i = 0; i < good_matches.size(); i++ )
-  {
-    //-- Get the keypoints from the good matches
-    obj.push_back( keypoints_object[ good_matches[i].queryIdx ].pt );
-    scene.push_back( keypoints_scene[ good_matches[i].trainIdx ].pt );
-  }
-
-  Mat H = findHomography( obj, scene, RANSAC );
-
-  //-- Get the corners from the image_1 ( the object to be "detected" )
-  std::vector<Point2f> obj_corners(4);
-  obj_corners[0] = Point(0,0); obj_corners[1] = Point( img_object.cols, 0 );
-  obj_corners[2] = Point( img_object.cols, img_object.rows ); obj_corners[3] = Point( 0, img_object.rows );
-  std::vector<Point2f> scene_corners(4);
-
-  perspectiveTransform( obj_corners, scene_corners, H);
-
-
-  //-- Draw lines between the corners (the mapped object in the scene - image_2 )
-  Point2f offset( (float)img_object.cols, 0);
-  line( img_matches, scene_corners[0] + offset, scene_corners[1] + offset, Scalar(0, 255, 0), 4 );
-  line( img_matches, scene_corners[1] + offset, scene_corners[2] + offset, Scalar( 0, 255, 0), 4 );
-  line( img_matches, scene_corners[2] + offset, scene_corners[3] + offset, Scalar( 0, 255, 0), 4 );
-  line( img_matches, scene_corners[3] + offset, scene_corners[0] + offset, Scalar( 0, 255, 0), 4 );
-
-  //-- Show detected matches
-  imshow( "Good Matches & Object detection", img_matches );
-
-  waitKey(0);
-
-  return 0;
-}
-
-/**
- * @function readme
- */
-void readme()
-{ std::cout << " Usage: ./SURF_Homography <img1> <img2>" << std::endl; }
diff --git a/samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp b/samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp
deleted file mode 100644
index 140136d3a6..0000000000
--- a/samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp
+++ /dev/null
@@ -1,73 +0,0 @@
-/**
- * @file SURF_descriptor
- * @brief SURF detector + descritpor + BruteForce Matcher + drawing matches with OpenCV functions
- * @author A. Huaman
- */
-
-#include <stdio.h>
-#include <iostream>
-#include "opencv2/core/core.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/nonfree/features2d.hpp"
-
-using namespace cv;
-
-void readme();
-
-/**
- * @function main
- * @brief Main function
- */
-int main( int argc, char** argv )
-{
-  if( argc != 3 )
-  { return -1; }
-
-  Mat img_1 = imread( argv[1], IMREAD_GRAYSCALE );
-  Mat img_2 = imread( argv[2], IMREAD_GRAYSCALE );
-
-  if( !img_1.data || !img_2.data )
-  { return -1; }
-
-  //-- Step 1: Detect the keypoints using SURF Detector
-  int minHessian = 400;
-
-  SurfFeatureDetector detector( minHessian );
-
-  std::vector<KeyPoint> keypoints_1, keypoints_2;
-
-  detector.detect( img_1, keypoints_1 );
-  detector.detect( img_2, keypoints_2 );
-
-  //-- Step 2: Calculate descriptors (feature vectors)
-  SurfDescriptorExtractor extractor;
-
-  Mat descriptors_1, descriptors_2;
-
-  extractor.compute( img_1, keypoints_1, descriptors_1 );
-  extractor.compute( img_2, keypoints_2, descriptors_2 );
-
-  //-- Step 3: Matching descriptor vectors with a brute force matcher
-  BFMatcher matcher(extractor.defaultNorm());
-  std::vector< DMatch > matches;
-  matcher.match( descriptors_1, descriptors_2, matches );
-
-  //-- Draw matches
-  Mat img_matches;
-  drawMatches( img_1, keypoints_1, img_2, keypoints_2, matches, img_matches );
-
-  //-- Show detected matches
-  imshow("Matches", img_matches );
-
-  waitKey(0);
-
-  return 0;
-}
-
-/**
- * @function readme
- */
-void readme()
-{ std::cout << " Usage: ./SURF_descriptor <img1> <img2>" << std::endl; }
diff --git a/samples/cpp/tutorial_code/features2D/SURF_detector.cpp b/samples/cpp/tutorial_code/features2D/SURF_detector.cpp
deleted file mode 100644
index 2a14bdc079..0000000000
--- a/samples/cpp/tutorial_code/features2D/SURF_detector.cpp
+++ /dev/null
@@ -1,63 +0,0 @@
-/**
- * @file SURF_detector
- * @brief SURF keypoint detection + keypoint drawing with OpenCV functions
- * @author A. Huaman
- */
-
-#include <stdio.h>
-#include <iostream>
-#include "opencv2/core/core.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/nonfree/features2d.hpp"
-
-using namespace cv;
-
-void readme();
-
-/**
- * @function main
- * @brief Main function
- */
-int main( int argc, char** argv )
-{
-  if( argc != 3 )
-  { readme(); return -1; }
-
-  Mat img_1 = imread( argv[1], IMREAD_GRAYSCALE );
-  Mat img_2 = imread( argv[2], IMREAD_GRAYSCALE );
-
-  if( !img_1.data || !img_2.data )
-  { std::cout<< " --(!) Error reading images " << std::endl; return -1; }
-
-  //-- Step 1: Detect the keypoints using SURF Detector
-  int minHessian = 400;
-
-  SurfFeatureDetector detector( minHessian );
-
-  std::vector<KeyPoint> keypoints_1, keypoints_2;
-
-  detector.detect( img_1, keypoints_1 );
-  detector.detect( img_2, keypoints_2 );
-
-  //-- Draw keypoints
-  Mat img_keypoints_1; Mat img_keypoints_2;
-
-  drawKeypoints( img_1, keypoints_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT );
-  drawKeypoints( img_2, keypoints_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT );
-
-  //-- Show detected (drawn) keypoints
-  imshow("Keypoints 1", img_keypoints_1 );
-  imshow("Keypoints 2", img_keypoints_2 );
-
-  waitKey(0);
-
-  return 0;
-}
-
-/**
- * @function readme
- */
-void readme()
-{ std::cout << " Usage: ./SURF_detector <img1> <img2>" << std::endl; }
diff --git a/samples/cpp/video_homography.cpp b/samples/cpp/video_homography.cpp
deleted file mode 100644
index 1b12fa04d9..0000000000
--- a/samples/cpp/video_homography.cpp
+++ /dev/null
@@ -1,234 +0,0 @@
-/*
-* video_homography.cpp
-*
-*  Created on: Oct 18, 2010
-*      Author: erublee
-*/
-
-#include "opencv2/calib3d/calib3d.hpp"
-#include "opencv2/videoio/videoio.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/imgproc/imgproc.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include <iostream>
-#include <list>
-#include <vector>
-
-using namespace std;
-using namespace cv;
-
-static void help(char **av)
-{
-    cout << "\nThis program demonstrated the use of features2d with the Fast corner detector and brief descriptors\n"
-        << "to track planar objects by computing their homography from the key (training) image to the query (test) image\n\n" << endl;
-    cout << "usage: " << av[0] << " <video device number>\n" << endl;
-    cout << "The following keys do stuff:" << endl;
-    cout << "  t : grabs a reference frame to match against" << endl;
-    cout << "  l : makes the reference frame new every frame" << endl;
-    cout << "  q or escape: quit" << endl;
-}
-
-namespace
-{
-    void drawMatchesRelative(const vector<KeyPoint>& train, const vector<KeyPoint>& query,
-        std::vector<cv::DMatch>& matches, Mat& img, const vector<unsigned char>& mask = vector<
-        unsigned char> ())
-    {
-        for (int i = 0; i < (int)matches.size(); i++)
-        {
-            if (mask.empty() || mask[i])
-            {
-                Point2f pt_new = query[matches[i].queryIdx].pt;
-                Point2f pt_old = train[matches[i].trainIdx].pt;
-
-                cv::line(img, pt_new, pt_old, Scalar(125, 255, 125), 1);
-                cv::circle(img, pt_new, 2, Scalar(255, 0, 125), 1);
-
-            }
-        }
-    }
-
-    //Takes a descriptor and turns it into an xy point
-    void keypoints2points(const vector<KeyPoint>& in, vector<Point2f>& out)
-    {
-        out.clear();
-        out.reserve(in.size());
-        for (size_t i = 0; i < in.size(); ++i)
-        {
-            out.push_back(in[i].pt);
-        }
-    }
-
-    //Takes an xy point and appends that to a keypoint structure
-    void points2keypoints(const vector<Point2f>& in, vector<KeyPoint>& out)
-    {
-        out.clear();
-        out.reserve(in.size());
-        for (size_t i = 0; i < in.size(); ++i)
-        {
-            out.push_back(KeyPoint(in[i], 1));
-        }
-    }
-
-    //Uses computed homography H to warp original input points to new planar position
-    void warpKeypoints(const Mat& H, const vector<KeyPoint>& in, vector<KeyPoint>& out)
-    {
-        vector<Point2f> pts;
-        keypoints2points(in, pts);
-        vector<Point2f> pts_w(pts.size());
-        Mat m_pts_w(pts_w);
-        perspectiveTransform(Mat(pts), m_pts_w, H);
-        points2keypoints(pts_w, out);
-    }
-
-    //Converts matching indices to xy points
-    void matches2points(const vector<KeyPoint>& train, const vector<KeyPoint>& query,
-        const std::vector<cv::DMatch>& matches, std::vector<cv::Point2f>& pts_train,
-        std::vector<Point2f>& pts_query)
-    {
-
-        pts_train.clear();
-        pts_query.clear();
-        pts_train.reserve(matches.size());
-        pts_query.reserve(matches.size());
-
-        size_t i = 0;
-
-        for (; i < matches.size(); i++)
-        {
-
-            const DMatch & dmatch = matches[i];
-
-            pts_query.push_back(query[dmatch.queryIdx].pt);
-            pts_train.push_back(train[dmatch.trainIdx].pt);
-
-        }
-
-    }
-
-    void resetH(Mat&H)
-    {
-        H = Mat::eye(3, 3, CV_32FC1);
-    }
-}
-
-int main(int ac, char ** av)
-{
-
-    if (ac != 2)
-    {
-        help(av);
-        return 1;
-    }
-
-    BriefDescriptorExtractor brief(32);
-
-    VideoCapture capture;
-    capture.open(atoi(av[1]));
-    if (!capture.isOpened())
-    {
-        help(av);
-        cout << "capture device " << atoi(av[1]) << " failed to open!" << endl;
-        return 1;
-    }
-
-    cout << "following keys do stuff:" << endl;
-    cout << "t : grabs a reference frame to match against" << endl;
-    cout << "l : makes the reference frame new every frame" << endl;
-    cout << "q or escape: quit" << endl;
-
-    Mat frame;
-
-    vector<DMatch> matches;
-
-    BFMatcher desc_matcher(brief.defaultNorm());
-
-    vector<Point2f> train_pts, query_pts;
-    vector<KeyPoint> train_kpts, query_kpts;
-    vector<unsigned char> match_mask;
-
-    Mat gray;
-
-    bool ref_live = true;
-
-    Mat train_desc, query_desc;
-    const int DESIRED_FTRS = 500;
-    GridAdaptedFeatureDetector detector(makePtr<FastFeatureDetector>(10, true), DESIRED_FTRS, 4, 4);
-
-    Mat H_prev = Mat::eye(3, 3, CV_32FC1);
-    for (;;)
-    {
-        capture >> frame;
-        if (frame.empty())
-            break;
-
-        cvtColor(frame, gray, COLOR_RGB2GRAY);
-
-        detector.detect(gray, query_kpts); //Find interest points
-
-        brief.compute(gray, query_kpts, query_desc); //Compute brief descriptors at each keypoint location
-
-        if (!train_kpts.empty())
-        {
-
-            vector<KeyPoint> test_kpts;
-            warpKeypoints(H_prev.inv(), query_kpts, test_kpts);
-
-            Mat mask = windowedMatchingMask(test_kpts, train_kpts, 25, 25);
-            desc_matcher.match(query_desc, train_desc, matches, mask);
-            drawKeypoints(frame, test_kpts, frame, Scalar(255, 0, 0), DrawMatchesFlags::DRAW_OVER_OUTIMG);
-
-            matches2points(train_kpts, query_kpts, matches, train_pts, query_pts);
-
-            if (matches.size() > 5)
-            {
-                Mat H = findHomography(train_pts, query_pts, RANSAC, 4, match_mask);
-                if (countNonZero(Mat(match_mask)) > 15)
-                {
-                    H_prev = H;
-                }
-                else
-                    resetH(H_prev);
-                drawMatchesRelative(train_kpts, query_kpts, matches, frame, match_mask);
-            }
-            else
-                resetH(H_prev);
-
-        }
-        else
-        {
-            H_prev = Mat::eye(3, 3, CV_32FC1);
-            Mat out;
-            drawKeypoints(gray, query_kpts, out);
-            frame = out;
-        }
-
-        imshow("frame", frame);
-
-        if (ref_live)
-        {
-            train_kpts = query_kpts;
-            query_desc.copyTo(train_desc);
-        }
-        char key = (char)waitKey(2);
-        switch (key)
-        {
-        case 'l':
-            ref_live = true;
-            resetH(H_prev);
-            break;
-        case 't':
-            ref_live = false;
-            train_kpts = query_kpts;
-            query_desc.copyTo(train_desc);
-            resetH(H_prev);
-            break;
-        case 27:
-        case 'q':
-            return 0;
-            break;
-        }
-
-    }
-    return 0;
-}
diff --git a/samples/gpu/CMakeLists.txt b/samples/gpu/CMakeLists.txt
index 01bd694bb8..0995295544 100644
--- a/samples/gpu/CMakeLists.txt
+++ b/samples/gpu/CMakeLists.txt
@@ -1,7 +1,6 @@
 SET(OPENCV_CUDA_SAMPLES_REQUIRED_DEPS opencv_core opencv_flann opencv_imgproc opencv_imgcodecs opencv_videoio opencv_highgui
                                      opencv_ml opencv_video opencv_objdetect opencv_features2d
-                                     opencv_calib3d opencv_legacy opencv_contrib opencv_cuda
-                                     opencv_nonfree opencv_softcascade opencv_superres
+                                     opencv_calib3d opencv_cuda opencv_superres
                                      opencv_cudaarithm opencv_cudafilters opencv_cudawarping opencv_cudaimgproc
                                      opencv_cudafeatures2d opencv_cudaoptflow opencv_cudabgsegm
                                      opencv_cudastereo opencv_cudalegacy)
diff --git a/samples/tapi/CMakeLists.txt b/samples/tapi/CMakeLists.txt
index 83fd7260ac..9c69ab0a25 100644
--- a/samples/tapi/CMakeLists.txt
+++ b/samples/tapi/CMakeLists.txt
@@ -1,4 +1,4 @@
-SET(OPENCV_TAPI_SAMPLES_REQUIRED_DEPS opencv_core opencv_imgproc opencv_video opencv_imgcodecs opencv_videoio opencv_highgui opencv_objdetect opencv_features2d opencv_calib3d opencv_nonfree opencv_flann)
+SET(OPENCV_TAPI_SAMPLES_REQUIRED_DEPS opencv_core opencv_imgproc opencv_video opencv_imgcodecs opencv_videoio opencv_highgui opencv_objdetect opencv_features2d opencv_calib3d opencv_flann)
 
 ocv_check_dependencies(${OPENCV_TAPI_SAMPLES_REQUIRED_DEPS})
 
diff --git a/samples/tapi/surf_matcher.cpp b/samples/tapi/surf_matcher.cpp
deleted file mode 100644
index 2aca96f1bc..0000000000
--- a/samples/tapi/surf_matcher.cpp
+++ /dev/null
@@ -1,225 +0,0 @@
-#include <iostream>
-#include <stdio.h>
-#include "opencv2/core/core.hpp"
-#include "opencv2/core/utility.hpp"
-#include "opencv2/core/ocl.hpp"
-#include "opencv2/imgcodecs.hpp"
-#include "opencv2/highgui.hpp"
-#include "opencv2/features2d.hpp"
-#include "opencv2/calib3d.hpp"
-#include "opencv2/imgproc.hpp"
-#include "opencv2/nonfree.hpp"
-
-using namespace cv;
-
-const int LOOP_NUM = 10;
-const int GOOD_PTS_MAX = 50;
-const float GOOD_PORTION = 0.15f;
-
-int64 work_begin = 0;
-int64 work_end = 0;
-
-static void workBegin()
-{
-    work_begin = getTickCount();
-}
-
-static void workEnd()
-{
-    work_end = getTickCount() - work_begin;
-}
-
-static double getTime()
-{
-    return work_end /((double)getTickFrequency() )* 1000.;
-}
-
-template<class KPDetector>
-struct SURFDetector
-{
-    KPDetector surf;
-    SURFDetector(double hessian = 800.0)
-        :surf(hessian)
-    {
-    }
-    template<class T>
-    void operator()(const T& in, const T& mask, std::vector<cv::KeyPoint>& pts, T& descriptors, bool useProvided = false)
-    {
-        surf(in, mask, pts, descriptors, useProvided);
-    }
-};
-
-template<class KPMatcher>
-struct SURFMatcher
-{
-    KPMatcher matcher;
-    template<class T>
-    void match(const T& in1, const T& in2, std::vector<cv::DMatch>& matches)
-    {
-        matcher.match(in1, in2, matches);
-    }
-};
-
-static Mat drawGoodMatches(
-    const Mat& img1,
-    const Mat& img2,
-    const std::vector<KeyPoint>& keypoints1,
-    const std::vector<KeyPoint>& keypoints2,
-    std::vector<DMatch>& matches,
-    std::vector<Point2f>& scene_corners_
-    )
-{
-    //-- Sort matches and preserve top 10% matches
-    std::sort(matches.begin(), matches.end());
-    std::vector< DMatch > good_matches;
-    double minDist = matches.front().distance;
-    double maxDist = matches.back().distance;
-
-    const int ptsPairs = std::min(GOOD_PTS_MAX, (int)(matches.size() * GOOD_PORTION));
-    for( int i = 0; i < ptsPairs; i++ )
-    {
-        good_matches.push_back( matches[i] );
-    }
-    std::cout << "\nMax distance: " << maxDist << std::endl;
-    std::cout << "Min distance: " << minDist << std::endl;
-
-    std::cout << "Calculating homography using " << ptsPairs << " point pairs." << std::endl;
-
-    // drawing the results
-    Mat img_matches;
-
-    drawMatches( img1, keypoints1, img2, keypoints2,
-                 good_matches, img_matches, Scalar::all(-1), Scalar::all(-1),
-                 std::vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS  );
-
-    //-- Localize the object
-    std::vector<Point2f> obj;
-    std::vector<Point2f> scene;
-
-    for( size_t i = 0; i < good_matches.size(); i++ )
-    {
-        //-- Get the keypoints from the good matches
-        obj.push_back( keypoints1[ good_matches[i].queryIdx ].pt );
-        scene.push_back( keypoints2[ good_matches[i].trainIdx ].pt );
-    }
-    //-- Get the corners from the image_1 ( the object to be "detected" )
-    std::vector<Point2f> obj_corners(4);
-    obj_corners[0] = Point(0,0);
-    obj_corners[1] = Point( img1.cols, 0 );
-    obj_corners[2] = Point( img1.cols, img1.rows );
-    obj_corners[3] = Point( 0, img1.rows );
-    std::vector<Point2f> scene_corners(4);
-
-    Mat H = findHomography( obj, scene, RANSAC );
-    perspectiveTransform( obj_corners, scene_corners, H);
-
-    scene_corners_ = scene_corners;
-
-    //-- Draw lines between the corners (the mapped object in the scene - image_2 )
-    line( img_matches,
-          scene_corners[0] + Point2f( (float)img1.cols, 0), scene_corners[1] + Point2f( (float)img1.cols, 0),
-          Scalar( 0, 255, 0), 2, LINE_AA );
-    line( img_matches,
-          scene_corners[1] + Point2f( (float)img1.cols, 0), scene_corners[2] + Point2f( (float)img1.cols, 0),
-          Scalar( 0, 255, 0), 2, LINE_AA );
-    line( img_matches,
-          scene_corners[2] + Point2f( (float)img1.cols, 0), scene_corners[3] + Point2f( (float)img1.cols, 0),
-          Scalar( 0, 255, 0), 2, LINE_AA );
-    line( img_matches,
-          scene_corners[3] + Point2f( (float)img1.cols, 0), scene_corners[0] + Point2f( (float)img1.cols, 0),
-          Scalar( 0, 255, 0), 2, LINE_AA );
-    return img_matches;
-}
-
-////////////////////////////////////////////////////
-// This program demonstrates the usage of SURF_OCL.
-// use cpu findHomography interface to calculate the transformation matrix
-int main(int argc, char* argv[])
-{
-    const char* keys =
-        "{ h help     | false            | print help message  }"
-        "{ l left     | box.png          | specify left image  }"
-        "{ r right    | box_in_scene.png | specify right image }"
-        "{ o output   | SURF_output.jpg  | specify output save path }"
-        "{ m cpu_mode | false            | run without OpenCL }";
-
-    CommandLineParser cmd(argc, argv, keys);
-    if (cmd.has("help"))
-    {
-        std::cout << "Usage: surf_matcher [options]" << std::endl;
-        std::cout << "Available options:" << std::endl;
-        cmd.printMessage();
-        return EXIT_SUCCESS;
-    }
-    if (cmd.has("cpu_mode"))
-    {
-        ocl::setUseOpenCL(false);
-        std::cout << "OpenCL was disabled" << std::endl;
-    }
-
-    UMat img1, img2;
-
-    std::string outpath = cmd.get<std::string>("o");
-
-    std::string leftName = cmd.get<std::string>("l");
-    imread(leftName, IMREAD_GRAYSCALE).copyTo(img1);
-    if(img1.empty())
-    {
-        std::cout << "Couldn't load " << leftName << std::endl;
-        cmd.printMessage();
-        return EXIT_FAILURE;
-    }
-
-    std::string rightName = cmd.get<std::string>("r");
-    imread(rightName, IMREAD_GRAYSCALE).copyTo(img2);
-    if(img2.empty())
-    {
-        std::cout << "Couldn't load " << rightName << std::endl;
-        cmd.printMessage();
-        return EXIT_FAILURE;
-    }
-
-    double surf_time = 0.;
-
-    //declare input/output
-    std::vector<KeyPoint> keypoints1, keypoints2;
-    std::vector<DMatch> matches;
-
-    UMat _descriptors1, _descriptors2;
-    Mat descriptors1 = _descriptors1.getMat(ACCESS_RW),
-        descriptors2 = _descriptors2.getMat(ACCESS_RW);
-
-    //instantiate detectors/matchers
-    SURFDetector<SURF> surf;
-
-    SURFMatcher<BFMatcher> matcher;
-
-    //-- start of timing section
-
-    for (int i = 0; i <= LOOP_NUM; i++)
-    {
-        if(i == 1) workBegin();
-        surf(img1.getMat(ACCESS_READ), Mat(), keypoints1, descriptors1);
-        surf(img2.getMat(ACCESS_READ), Mat(), keypoints2, descriptors2);
-        matcher.match(descriptors1, descriptors2, matches);
-    }
-    workEnd();
-    std::cout << "FOUND " << keypoints1.size() << " keypoints on first image" << std::endl;
-    std::cout << "FOUND " << keypoints2.size() << " keypoints on second image" << std::endl;
-
-    surf_time = getTime();
-    std::cout << "SURF run time: " << surf_time / LOOP_NUM << " ms" << std::endl<<"\n";
-
-
-    std::vector<Point2f> corner;
-    Mat img_matches = drawGoodMatches(img1.getMat(ACCESS_READ), img2.getMat(ACCESS_READ), keypoints1, keypoints2, matches, corner);
-
-    //-- Show detected matches
-
-    namedWindow("surf matches", 0);
-    imshow("surf matches", img_matches);
-    imwrite(outpath, img_matches);
-
-    waitKey(0);
-    return EXIT_SUCCESS;
-}

From 27d2d3cbaccf9b7c0759af475ae2c02de01712c4 Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Tue, 12 Aug 2014 00:03:40 +0400
Subject: [PATCH 85/92] fixed doc builder complains and the test failures

---
 modules/core/doc/basic_structures.rst         |   8 +-
 ...on_interfaces_of_descriptor_extractors.rst |   7 --
 ...common_interfaces_of_feature_detectors.rst |   7 --
 .../test/test_descriptors_regression.cpp      |  22 ----
 .../test/test_detectors_regression.cpp        |  18 ---
 modules/features2d/test/test_keypoints.cpp    |  12 --
 .../generator/src/cpp/features2d_manual.hpp   | 118 ------------------
 modules/stitching/doc/matching.rst            |   2 +-
 8 files changed, 4 insertions(+), 190 deletions(-)

diff --git a/modules/core/doc/basic_structures.rst b/modules/core/doc/basic_structures.rst
index 8a759bcdd9..ce66c7d88e 100644
--- a/modules/core/doc/basic_structures.rst
+++ b/modules/core/doc/basic_structures.rst
@@ -3051,13 +3051,11 @@ Here is example of SIFT use in your application via Algorithm interface: ::
 
     #include "opencv2/opencv.hpp"
     #include "opencv2/xfeatures2d.hpp"
-    
+
     using namespace cv::xfeatures2d;
 
     ...
 
-    initModule_nonfree(); // to load SURF/SIFT etc.
-
     Ptr<Feature2D> sift = SIFT::create();
 
     FileStorage fs("sift_params.xml", FileStorage::READ);
@@ -3068,7 +3066,7 @@ Here is example of SIFT use in your application via Algorithm interface: ::
     }
     else // else modify the parameters and store them; user can later edit the file to use different parameters
     {
-        sift->set("contrastThreshold", 0.01f); // lower the contrast threshold, compared to the default value
+        sift->setContrastThreshold(0.01f); // lower the contrast threshold, compared to the default value
 
         {
         WriteStructContext ws(fs, "sift_params", CV_NODE_MAP);
@@ -3078,7 +3076,7 @@ Here is example of SIFT use in your application via Algorithm interface: ::
 
     Mat image = imread("myimage.png", 0), descriptors;
     vector<KeyPoint> keypoints;
-    (*sift)(image, noArray(), keypoints, descriptors);
+    sift->detectAndCompute(image, noArray(), keypoints, descriptors);
 
 Algorithm::name
 ---------------
diff --git a/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst b/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
index e99c672fbe..e910addcfd 100644
--- a/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
+++ b/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
@@ -84,13 +84,6 @@ Creates a descriptor extractor by name.
 
 The current implementation supports the following types of a descriptor extractor:
 
- * ``"SIFT"`` -- :ocv:class:`SIFT`
- * ``"SURF"`` -- :ocv:class:`SURF`
- * ``"BRIEF"`` -- :ocv:class:`BriefDescriptorExtractor`
  * ``"BRISK"`` -- :ocv:class:`BRISK`
  * ``"ORB"`` -- :ocv:class:`ORB`
- * ``"FREAK"`` -- :ocv:class:`FREAK`
 
-A combined format is also supported: descriptor extractor adapter name ( ``"Opponent"`` --
-:ocv:class:`OpponentColorDescriptorExtractor` ) + descriptor extractor name (see above),
-for example: ``"OpponentSIFT"`` .
diff --git a/modules/features2d/doc/common_interfaces_of_feature_detectors.rst b/modules/features2d/doc/common_interfaces_of_feature_detectors.rst
index 4f31dc0903..f4e4244457 100644
--- a/modules/features2d/doc/common_interfaces_of_feature_detectors.rst
+++ b/modules/features2d/doc/common_interfaces_of_feature_detectors.rst
@@ -72,20 +72,13 @@ Creates a feature detector by its name.
 The following detector types are supported:
 
 * ``"FAST"`` -- :ocv:class:`FastFeatureDetector`
-* ``"STAR"`` -- :ocv:class:`StarFeatureDetector`
 * ``"ORB"`` -- :ocv:class:`ORB`
 * ``"BRISK"`` -- :ocv:class:`BRISK`
 * ``"MSER"`` -- :ocv:class:`MSER`
 * ``"GFTT"`` -- :ocv:class:`GoodFeaturesToTrackDetector`
 * ``"HARRIS"`` -- :ocv:class:`GoodFeaturesToTrackDetector` with Harris detector enabled
-* ``"Dense"`` -- :ocv:class:`DenseFeatureDetector`
 * ``"SimpleBlob"`` -- :ocv:class:`SimpleBlobDetector`
 
-Also a combined format is supported: feature detector adapter name ( ``"Grid"`` --
-:ocv:class:`GridAdaptedFeatureDetector`, ``"Pyramid"`` --
-:ocv:class:`PyramidAdaptedFeatureDetector` ) + feature detector name (see above),
-for example: ``"GridFAST"``, ``"PyramidSTAR"`` .
-
 FastFeatureDetector
 -------------------
 .. ocv:class:: FastFeatureDetector : public FeatureDetector
diff --git a/modules/features2d/test/test_descriptors_regression.cpp b/modules/features2d/test/test_descriptors_regression.cpp
index 3c6ae97ccc..944f297bb2 100644
--- a/modules/features2d/test/test_descriptors_regression.cpp
+++ b/modules/features2d/test/test_descriptors_regression.cpp
@@ -327,28 +327,6 @@ TEST( Features2d_DescriptorExtractor_ORB, regression )
     test.safe_run();
 }
 
-TEST( Features2d_DescriptorExtractor_FREAK, regression )
-{
-    // TODO adjust the parameters below
-    CV_DescriptorExtractorTest<Hamming> test( "descriptor-freak",  (CV_DescriptorExtractorTest<Hamming>::DistanceType)12.f,
-                                                 DescriptorExtractor::create("FREAK") );
-    test.safe_run();
-}
-
-TEST( Features2d_DescriptorExtractor_BRIEF, regression )
-{
-    CV_DescriptorExtractorTest<Hamming> test( "descriptor-brief",  1,
-                                               DescriptorExtractor::create("BRIEF") );
-    test.safe_run();
-}
-
-TEST( Features2d_DescriptorExtractor_OpponentBRIEF, regression )
-{
-    CV_DescriptorExtractorTest<Hamming> test( "descriptor-opponent-brief",  1,
-                                               DescriptorExtractor::create("OpponentBRIEF") );
-    test.safe_run();
-}
-
 TEST( Features2d_DescriptorExtractor_KAZE, regression )
 {
     CV_DescriptorExtractorTest< L2<float> > test( "descriptor-kaze",  0.03f,
diff --git a/modules/features2d/test/test_detectors_regression.cpp b/modules/features2d/test/test_detectors_regression.cpp
index 25e2c7f682..1a7d09a853 100644
--- a/modules/features2d/test/test_detectors_regression.cpp
+++ b/modules/features2d/test/test_detectors_regression.cpp
@@ -277,12 +277,6 @@ TEST( Features2d_Detector_MSER, DISABLED_regression )
     test.safe_run();
 }
 
-TEST( Features2d_Detector_STAR, regression )
-{
-    CV_FeatureDetectorTest test( "detector-star", FeatureDetector::create("STAR") );
-    test.safe_run();
-}
-
 TEST( Features2d_Detector_ORB, regression )
 {
     CV_FeatureDetectorTest test( "detector-orb", FeatureDetector::create("ORB") );
@@ -300,15 +294,3 @@ TEST( Features2d_Detector_AKAZE, regression )
     CV_FeatureDetectorTest test( "detector-akaze", FeatureDetector::create("AKAZE") );
     test.safe_run();
 }
-
-TEST( Features2d_Detector_GridFAST, regression )
-{
-    CV_FeatureDetectorTest test( "detector-grid-fast", FeatureDetector::create("GridFAST") );
-    test.safe_run();
-}
-
-TEST( Features2d_Detector_PyramidFAST, regression )
-{
-    CV_FeatureDetectorTest test( "detector-pyramid-fast", FeatureDetector::create("PyramidFAST") );
-    test.safe_run();
-}
diff --git a/modules/features2d/test/test_keypoints.cpp b/modules/features2d/test/test_keypoints.cpp
index a9f30b11b0..349c03ed49 100644
--- a/modules/features2d/test/test_keypoints.cpp
+++ b/modules/features2d/test/test_keypoints.cpp
@@ -155,18 +155,6 @@ TEST(Features2d_Detector_Keypoints_ORB, validation)
     test.safe_run();
 }
 
-TEST(Features2d_Detector_Keypoints_Star, validation)
-{
-    CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.STAR"));
-    test.safe_run();
-}
-
-TEST(Features2d_Detector_Keypoints_Dense, validation)
-{
-    CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.Dense"));
-    test.safe_run();
-}
-
 TEST(Features2d_Detector_Keypoints_KAZE, validation)
 {
     CV_FeatureDetectorKeypointsTest test(Algorithm::create<FeatureDetector>("Feature2D.KAZE"));
diff --git a/modules/java/generator/src/cpp/features2d_manual.hpp b/modules/java/generator/src/cpp/features2d_manual.hpp
index 603f8b2a0b..90a16117b5 100644
--- a/modules/java/generator/src/cpp/features2d_manual.hpp
+++ b/modules/java/generator/src/cpp/features2d_manual.hpp
@@ -390,124 +390,6 @@ private:
     Ptr<DescriptorExtractor> wrapped;
 };
 
-class CV_EXPORTS_AS(GenericDescriptorMatcher) javaGenericDescriptorMatcher
-{
-public:
-    CV_WRAP void add( const std::vector<Mat>& images,
-                      std::vector<std::vector<KeyPoint> >& keypoints )
-    { return wrapped->add(images, keypoints); }
-
-    CV_WRAP const std::vector<Mat>& getTrainImages() const
-    { return wrapped->getTrainImages(); }
-
-    CV_WRAP const std::vector<std::vector<KeyPoint> >& getTrainKeypoints() const
-    { return wrapped->getTrainKeypoints(); }
-
-    CV_WRAP void clear()
-    { return wrapped->clear(); }
-
-    CV_WRAP bool isMaskSupported()
-    { return wrapped->isMaskSupported(); }
-
-    CV_WRAP void train()
-    { return wrapped->train(); }
-
-    CV_WRAP void classify( const Mat& queryImage, CV_IN_OUT std::vector<KeyPoint>& queryKeypoints,
-                           const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints ) const
-    { return wrapped->classify(queryImage, queryKeypoints, trainImage, trainKeypoints); }
-
-    CV_WRAP void classify( const Mat& queryImage, CV_IN_OUT std::vector<KeyPoint>& queryKeypoints )
-    { return wrapped->classify(queryImage, queryKeypoints); }
-
-    CV_WRAP void match( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
-                const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints,
-                CV_OUT std::vector<DMatch>& matches, const Mat& mask=Mat() ) const
-    { return wrapped->match(queryImage, queryKeypoints, trainImage, trainKeypoints, matches, mask); }
-
-    CV_WRAP void knnMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
-                   const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints,
-                   CV_OUT std::vector<std::vector<DMatch> >& matches, int k,
-                   const Mat& mask=Mat(), bool compactResult=false ) const
-    { return wrapped->knnMatch(queryImage, queryKeypoints, trainImage, trainKeypoints,
-                               matches, k, mask, compactResult); }
-
-    CV_WRAP void radiusMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
-                      const Mat& trainImage, std::vector<KeyPoint>& trainKeypoints,
-                      CV_OUT std::vector<std::vector<DMatch> >& matches, float maxDistance,
-                      const Mat& mask=Mat(), bool compactResult=false ) const
-    { return wrapped->radiusMatch(queryImage, queryKeypoints, trainImage, trainKeypoints,
-                                   matches, maxDistance, mask, compactResult); }
-
-    CV_WRAP void match( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
-                CV_OUT std::vector<DMatch>& matches, const std::vector<Mat>& masks=std::vector<Mat>() )
-    { return wrapped->match(queryImage, queryKeypoints, matches, masks); }
-
-    CV_WRAP void knnMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
-                   CV_OUT std::vector<std::vector<DMatch> >& matches, int k,
-                   const std::vector<Mat>& masks=std::vector<Mat>(), bool compactResult=false )
-    { return wrapped->knnMatch(queryImage, queryKeypoints, matches, k, masks, compactResult); }
-
-    CV_WRAP void radiusMatch( const Mat& queryImage, std::vector<KeyPoint>& queryKeypoints,
-                      CV_OUT std::vector<std::vector<DMatch> >& matches, float maxDistance,
-                      const std::vector<Mat>& masks=std::vector<Mat>(), bool compactResult=false )
-    { return wrapped->radiusMatch(queryImage, queryKeypoints, matches, maxDistance, masks, compactResult); }
-
-    CV_WRAP bool empty() const
-    { return wrapped->empty(); }
-
-
-    enum
-    {
-        ONEWAY = 1,
-        FERN   = 2
-    };
-
-    CV_WRAP_AS(clone) javaGenericDescriptorMatcher* jclone( bool emptyTrainData=false ) const
-    {
-        return new javaGenericDescriptorMatcher(wrapped->clone(emptyTrainData));
-    }
-
-    //supported: OneWay, Fern
-    //unsupported: Vector
-    CV_WRAP static javaGenericDescriptorMatcher* create( int matcherType )
-    {
-        String name;
-
-        switch(matcherType)
-        {
-        case ONEWAY:
-            name = "ONEWAY";
-            break;
-        case FERN:
-            name = "FERN";
-            break;
-        default:
-            CV_Error( Error::StsBadArg, "Specified generic descriptor matcher type is not supported." );
-            break;
-        }
-
-        return new javaGenericDescriptorMatcher(GenericDescriptorMatcher::create(name));
-    }
-
-    CV_WRAP void write( const String& fileName ) const
-    {
-        FileStorage fs(fileName, FileStorage::WRITE);
-        wrapped->write(fs);
-    }
-
-    CV_WRAP void read( const String& fileName )
-    {
-        FileStorage fs(fileName, FileStorage::READ);
-        wrapped->read(fs.root());
-    }
-
-private:
-    javaGenericDescriptorMatcher(Ptr<GenericDescriptorMatcher> _wrapped) : wrapped(_wrapped)
-    {}
-
-    Ptr<GenericDescriptorMatcher> wrapped;
-};
-
 #if 0
 //DO NOT REMOVE! The block is required for sources parser
 enum
diff --git a/modules/stitching/doc/matching.rst b/modules/stitching/doc/matching.rst
index 9f112d0a0e..e8a0ee6ff5 100644
--- a/modules/stitching/doc/matching.rst
+++ b/modules/stitching/doc/matching.rst
@@ -88,7 +88,7 @@ SURF features finder. ::
         /* hidden */
     };
 
-.. seealso:: :ocv:class:`detail::FeaturesFinder`, :ocv:class:`SURF`
+.. seealso:: :ocv:class:`detail::FeaturesFinder`, ``SURF``
 
 detail::OrbFeaturesFinder
 -------------------------

From fe7b48aa8f0cbbef4a969511f51f74b5474102a1 Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Tue, 12 Aug 2014 00:29:56 +0400
Subject: [PATCH 86/92] removed the stuff that's now in xfeatures2d;
 temporarily added dummy definition of SIFT to make doc builder pass (will
 remove it later)

---
 ...on_interfaces_of_descriptor_extractors.rst |  2 +-
 .../doc/feature_detection_and_description.rst | 78 +++----------------
 modules/features2d/doc/features2d.rst         |  1 -
 3 files changed, 10 insertions(+), 71 deletions(-)

diff --git a/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst b/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
index e910addcfd..746953da26 100644
--- a/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
+++ b/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
@@ -86,4 +86,4 @@ The current implementation supports the following types of a descriptor extracto
 
  * ``"BRISK"`` -- :ocv:class:`BRISK`
  * ``"ORB"`` -- :ocv:class:`ORB`
-
+ 
\ No newline at end of file
diff --git a/modules/features2d/doc/feature_detection_and_description.rst b/modules/features2d/doc/feature_detection_and_description.rst
index 4aa7dd3498..bfb93d157f 100644
--- a/modules/features2d/doc/feature_detection_and_description.rst
+++ b/modules/features2d/doc/feature_detection_and_description.rst
@@ -36,38 +36,6 @@ Detects corners using the FAST algorithm by [Rosten06]_.
 
 .. [Rosten06] E. Rosten. Machine Learning for High-speed Corner Detection, 2006.
 
-
-BriefDescriptorExtractor
-------------------------
-.. ocv:class:: BriefDescriptorExtractor : public DescriptorExtractor
-
-Class for computing BRIEF descriptors described in a paper of Calonder M., Lepetit V.,
-Strecha C., Fua P. *BRIEF: Binary Robust Independent Elementary Features* ,
-11th European Conference on Computer Vision (ECCV), Heraklion, Crete. LNCS Springer, September 2010. ::
-
-    class BriefDescriptorExtractor : public DescriptorExtractor
-    {
-    public:
-        static const int PATCH_SIZE = 48;
-        static const int KERNEL_SIZE = 9;
-
-        // bytes is a length of descriptor in bytes. It can be equal 16, 32 or 64 bytes.
-        BriefDescriptorExtractor( int bytes = 32 );
-
-        virtual void read( const FileNode& );
-        virtual void write( FileStorage& ) const;
-        virtual int descriptorSize() const;
-        virtual int descriptorType() const;
-        virtual int defaultNorm() const;
-    protected:
-        ...
-    };
-
-.. note::
-
-   * A complete BRIEF extractor sample can be found at opencv_source_code/samples/cpp/brief_match_test.cpp
-
-
 MSER
 ----
 .. ocv:class:: MSER : public FeatureDetector
@@ -213,43 +181,6 @@ Finds keypoints in an image and computes their descriptors
 
     :param useProvidedKeypoints: If it is true, then the method will use the provided vector of keypoints instead of detecting them.
 
-FREAK
------
-.. ocv:class:: FREAK : public DescriptorExtractor
-
-Class implementing the FREAK (*Fast Retina Keypoint*) keypoint descriptor, described in [AOV12]_. The algorithm propose a novel keypoint descriptor inspired by the human visual system and more precisely the retina, coined Fast Retina Key- point (FREAK). A cascade of binary strings is computed by efficiently comparing image intensities over a retinal sampling pattern. FREAKs are in general faster to compute with lower memory load and also more robust than SIFT, SURF or BRISK. They are competitive alternatives to existing keypoints in particular for embedded applications.
-
-.. [AOV12] A. Alahi, R. Ortiz, and P. Vandergheynst. FREAK: Fast Retina Keypoint. In IEEE Conference on Computer Vision and Pattern Recognition, 2012. CVPR 2012 Open Source Award Winner.
-
-.. note::
-
-   * An example on how to use the FREAK descriptor can be found at opencv_source_code/samples/cpp/freak_demo.cpp
-
-FREAK::FREAK
-------------
-The FREAK constructor
-
-.. ocv:function:: FREAK::FREAK( bool orientationNormalized=true, bool scaleNormalized=true, float patternScale=22.0f, int nOctaves=4, const vector<int>& selectedPairs=vector<int>() )
-
-    :param orientationNormalized: Enable orientation normalization.
-    :param scaleNormalized: Enable scale normalization.
-    :param patternScale: Scaling of the description pattern.
-    :param nOctaves: Number of octaves covered by the detected keypoints.
-    :param selectedPairs: (Optional) user defined selected pairs indexes,
-
-FREAK::selectPairs
-------------------
-Select the 512 best description pair indexes from an input (grayscale) image set. FREAK is available with a set of pairs learned off-line. Researchers can run a training process to learn their own set of pair. For more details read section 4.2 in: A. Alahi, R. Ortiz, and P. Vandergheynst. FREAK: Fast Retina Keypoint. In IEEE Conference on Computer Vision and Pattern Recognition, 2012.
-
-We notice that for keypoint matching applications, image content has little effect on the selected pairs unless very specific what does matter is the detector type (blobs, corners,...) and the options used (scale/rotation invariance,...). Reduce corrThresh if not enough pairs are selected (43 points --> 903 possible pairs)
-
-.. ocv:function:: vector<int> FREAK::selectPairs(const vector<Mat>& images, vector<vector<KeyPoint> >& keypoints, const double corrThresh = 0.7, bool verbose = true)
-
-    :param images: Grayscale image input set.
-    :param keypoints: Set of detected keypoints
-    :param corrThresh: Correlation threshold.
-    :param verbose: Prints pair selection informations.
-
 KAZE
 ----
 .. ocv:class:: KAZE : public Feature2D
@@ -312,3 +243,12 @@ The AKAZE constructor
     :param octaves: Maximum octave evolution of the image
     :param sublevels: Default number of sublevels per scale level
     :param diffusivity: Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER
+    
+SIFT
+----
+
+.. ocv:class:: SIFT : public Feature2D
+
+The SIFT algorithm has been moved to opencv_contrib/xfeatures2d module.
+
+
diff --git a/modules/features2d/doc/features2d.rst b/modules/features2d/doc/features2d.rst
index 781f1ddea1..2f1b39faff 100644
--- a/modules/features2d/doc/features2d.rst
+++ b/modules/features2d/doc/features2d.rst
@@ -11,6 +11,5 @@ features2d. 2D Features Framework
     common_interfaces_of_feature_detectors
     common_interfaces_of_descriptor_extractors
     common_interfaces_of_descriptor_matchers
-    common_interfaces_of_generic_descriptor_matchers
     drawing_function_of_keypoints_and_matches
     object_categorization

From d119afafdb8ba05ae43cc27b4ef144c58fb02dec Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Tue, 12 Aug 2014 00:30:06 +0400
Subject: [PATCH 87/92] removed the stuff that's now in xfeatures2d;
 temporarily added dummy definition of SIFT to make doc builder pass (will
 remove it later)

---
 ...erfaces_of_generic_descriptor_matchers.rst | 276 ------------------
 1 file changed, 276 deletions(-)
 delete mode 100644 modules/features2d/doc/common_interfaces_of_generic_descriptor_matchers.rst

diff --git a/modules/features2d/doc/common_interfaces_of_generic_descriptor_matchers.rst b/modules/features2d/doc/common_interfaces_of_generic_descriptor_matchers.rst
deleted file mode 100644
index 5806b82285..0000000000
--- a/modules/features2d/doc/common_interfaces_of_generic_descriptor_matchers.rst
+++ /dev/null
@@ -1,276 +0,0 @@
-Common Interfaces of Generic Descriptor Matchers
-================================================
-
-.. highlight:: cpp
-
-Matchers of keypoint descriptors in OpenCV have wrappers with a common interface that enables you to easily switch
-between different algorithms solving the same problem. This section is devoted to matching descriptors
-that cannot be represented as vectors in a multidimensional space. ``GenericDescriptorMatcher`` is a more generic interface for descriptors. It does not make any assumptions about descriptor representation.
-Every descriptor with the
-:ocv:class:`DescriptorExtractor` interface has a wrapper with the ``GenericDescriptorMatcher`` interface (see
-:ocv:class:`VectorDescriptorMatcher` ).
-There are descriptors such as the One-way descriptor and Ferns that have the ``GenericDescriptorMatcher`` interface implemented but do not support ``DescriptorExtractor``.
-
-.. note::
-
-   * An example explaining keypoint description can be found at opencv_source_code/samples/cpp/descriptor_extractor_matcher.cpp
-   * An example on descriptor matching evaluation can be found at opencv_source_code/samples/cpp/detector_descriptor_matcher_evaluation.cpp
-   * An example on one to many image matching can be found at opencv_source_code/samples/cpp/matching_to_many_images.cpp
-
-GenericDescriptorMatcher
-------------------------
-.. ocv:class:: GenericDescriptorMatcher
-
-Abstract interface for extracting and matching a keypoint descriptor. There are also :ocv:class:`DescriptorExtractor` and :ocv:class:`DescriptorMatcher` for these purposes but their interfaces are intended for descriptors represented as vectors in a multidimensional space. ``GenericDescriptorMatcher`` is a more generic interface for descriptors. ``DescriptorMatcher`` and ``GenericDescriptorMatcher`` have two groups of match methods: for matching keypoints of an image with another image or with an image set. ::
-
-    class GenericDescriptorMatcher
-    {
-    public:
-        GenericDescriptorMatcher();
-        virtual ~GenericDescriptorMatcher();
-
-        virtual void add( InputArrayOfArrays images,
-                          vector<vector<KeyPoint> >& keypoints );
-
-        const vector<Mat>& getTrainImages() const;
-        const vector<vector<KeyPoint> >& getTrainKeypoints() const;
-        virtual void clear();
-
-        virtual void train() = 0;
-
-        virtual bool isMaskSupported() = 0;
-
-        void classify( InputArray queryImage,
-                       vector<KeyPoint>& queryKeypoints,
-                       InputArray trainImage,
-                       vector<KeyPoint>& trainKeypoints ) const;
-        void classify( InputArray queryImage,
-                       vector<KeyPoint>& queryKeypoints );
-
-        /*
-         * Group of methods to match keypoints from an image pair.
-         */
-        void match( InputArray queryImage, vector<KeyPoint>& queryKeypoints,
-                    InputArray trainImage, vector<KeyPoint>& trainKeypoints,
-                    vector<DMatch>& matches, InputArray mask=noArray() ) const;
-        void knnMatch( InputArray queryImage, vector<KeyPoint>& queryKeypoints,
-                       InputArray trainImage, vector<KeyPoint>& trainKeypoints,
-                       vector<vector<DMatch> >& matches, int k,
-                       InputArray mask=noArray(), bool compactResult=false ) const;
-        void radiusMatch( InputArray queryImage, vector<KeyPoint>& queryKeypoints,
-                          InputArray trainImage, vector<KeyPoint>& trainKeypoints,
-                          vector<vector<DMatch> >& matches, float maxDistance,
-                          InputArray mask=noArray(), bool compactResult=false ) const;
-        /*
-         * Group of methods to match keypoints from one image to an image set.
-         */
-        void match( InputArray queryImage, vector<KeyPoint>& queryKeypoints,
-                    vector<DMatch>& matches, InputArrayOfArrays masks=noArray() );
-        void knnMatch( InputArray queryImage, vector<KeyPoint>& queryKeypoints,
-                       vector<vector<DMatch> >& matches, int k,
-                       InputArrayOfArrays masks=noArray(), bool compactResult=false );
-        void radiusMatch( InputArray queryImage, vector<KeyPoint>& queryKeypoints,
-                          vector<vector<DMatch> >& matches, float maxDistance,
-                          InputArrayOfArrays masks=noArray(), bool compactResult=false );
-
-        virtual void read( const FileNode& );
-        virtual void write( FileStorage& ) const;
-
-        virtual Ptr<GenericDescriptorMatcher> clone( bool emptyTrainData=false ) const = 0;
-
-    protected:
-        ...
-    };
-
-
-
-
-GenericDescriptorMatcher::add
----------------------------------
-Adds images and their keypoints to the training collection stored in the class instance.
-
-.. ocv:function:: void GenericDescriptorMatcher::add( InputArrayOfArrays images,                        vector<vector<KeyPoint> >& keypoints )
-
-    :param images: Image collection.
-
-    :param keypoints: Point collection. It is assumed that ``keypoints[i]``  are keypoints detected in the image  ``images[i]`` .
-
-
-
-GenericDescriptorMatcher::getTrainImages
---------------------------------------------
-Returns a train image collection.
-
-.. ocv:function:: const vector<Mat>& GenericDescriptorMatcher::getTrainImages() const
-
-
-
-GenericDescriptorMatcher::getTrainKeypoints
------------------------------------------------
-Returns a train keypoints collection.
-
-.. ocv:function:: const vector<vector<KeyPoint> >&  GenericDescriptorMatcher::getTrainKeypoints() const
-
-
-
-GenericDescriptorMatcher::clear
------------------------------------
-Clears a train collection (images and keypoints).
-
-.. ocv:function:: void GenericDescriptorMatcher::clear()
-
-
-
-GenericDescriptorMatcher::train
------------------------------------
-Trains descriptor matcher
-
-.. ocv:function:: void GenericDescriptorMatcher::train()
-
-Prepares descriptor matcher, for example, creates a tree-based structure, to extract descriptors or to optimize descriptors matching.
-
-
-GenericDescriptorMatcher::isMaskSupported
----------------------------------------------
-Returns ``true`` if a generic descriptor matcher supports masking permissible matches.
-
-.. ocv:function:: bool GenericDescriptorMatcher::isMaskSupported()
-
-
-
-GenericDescriptorMatcher::classify
---------------------------------------
-Classifies keypoints from a query set.
-
-.. ocv:function:: void GenericDescriptorMatcher::classify(  InputArray queryImage,           vector<KeyPoint>& queryKeypoints,           InputArray trainImage,           vector<KeyPoint>& trainKeypoints ) const
-
-.. ocv:function:: void GenericDescriptorMatcher::classify( InputArray queryImage,           vector<KeyPoint>& queryKeypoints )
-
-    :param queryImage: Query image.
-
-    :param queryKeypoints: Keypoints from a query image.
-
-    :param trainImage: Train image.
-
-    :param trainKeypoints: Keypoints from a train image.
-
-The method classifies each keypoint from a query set. The first variant of the method takes a train image and its keypoints as an input argument. The second variant uses the internally stored training collection that can be built using the ``GenericDescriptorMatcher::add`` method.
-
-The methods do the following:
-
-#.
-    Call the ``GenericDescriptorMatcher::match`` method to find correspondence between the query set and the training set.
-
-#.
-    Set the ``class_id`` field of each keypoint from the query set to ``class_id`` of the corresponding keypoint from the training set.
-
-
-
-GenericDescriptorMatcher::match
------------------------------------
-Finds the best match in the training set for each keypoint from the query set.
-
-.. ocv:function:: void GenericDescriptorMatcher::match(InputArray queryImage, vector<KeyPoint>& queryKeypoints, InputArray trainImage, vector<KeyPoint>& trainKeypoints, vector<DMatch>& matches, InputArray mask=noArray() ) const
-
-.. ocv:function:: void GenericDescriptorMatcher::match( InputArray queryImage, vector<KeyPoint>& queryKeypoints, vector<DMatch>& matches, InputArrayOfArrays masks=noArray() )
-
-    :param queryImage: Query image.
-
-    :param queryKeypoints: Keypoints detected in  ``queryImage`` .
-
-    :param trainImage: Train image. It is not added to a train image collection  stored in the class object.
-
-    :param trainKeypoints: Keypoints detected in  ``trainImage`` . They are not added to a train points collection stored in the class object.
-
-    :param matches: Matches. If a query descriptor (keypoint) is masked out in  ``mask`` ,  match is added for this descriptor. So,  ``matches``  size may be smaller than the query keypoints count.
-
-    :param mask: Mask specifying permissible matches between an input query and train keypoints.
-
-    :param masks: Set of masks. Each  ``masks[i]``  specifies permissible matches between input query keypoints and stored train keypoints from the i-th image.
-
-The methods find the best match for each query keypoint. In the first variant of the method, a train image and its keypoints are the input arguments. In the second variant, query keypoints are matched to the internally stored training collection that can be built using the ``GenericDescriptorMatcher::add`` method.     Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, ``queryKeypoints[i]`` can be matched with ``trainKeypoints[j]`` only if ``mask.at<uchar>(i,j)`` is non-zero.
-
-
-
-GenericDescriptorMatcher::knnMatch
---------------------------------------
-Finds the ``k`` best matches for each query keypoint.
-
-.. ocv:function:: void GenericDescriptorMatcher::knnMatch(           InputArray queryImage, vector<KeyPoint>& queryKeypoints,      InputArray trainImage, vector<KeyPoint>& trainKeypoints,      vector<vector<DMatch> >& matches, int k,       InputArray mask=noArray(), bool compactResult=false ) const
-
-.. ocv:function:: void GenericDescriptorMatcher::knnMatch(           InputArray queryImage, vector<KeyPoint>& queryKeypoints,      vector<vector<DMatch> >& matches, int k,       InputArrayOfArrays masks=noArray(),       bool compactResult=false )
-
-The methods are extended variants of ``GenericDescriptorMatch::match``. The parameters are similar, and the semantics is similar to ``DescriptorMatcher::knnMatch``. But this class does not require explicitly computed keypoint descriptors.
-
-
-
-GenericDescriptorMatcher::radiusMatch
------------------------------------------
-For each query keypoint, finds the training keypoints not farther than the specified distance.
-
-.. ocv:function:: void GenericDescriptorMatcher::radiusMatch(           InputArray queryImage, vector<KeyPoint>& queryKeypoints,      InputArray trainImage, vector<KeyPoint>& trainKeypoints,      vector<vector<DMatch> >& matches, float maxDistance,       InputArray mask=noArray(), bool compactResult=false ) const
-
-.. ocv:function:: void GenericDescriptorMatcher::radiusMatch(           InputArray queryImage, vector<KeyPoint>& queryKeypoints,      vector<vector<DMatch> >& matches, float maxDistance,       InputArrayOfArrays masks=noArray(),       bool compactResult=false )
-
-The methods are similar to ``DescriptorMatcher::radius``. But this class does not require explicitly computed keypoint descriptors.
-
-
-
-GenericDescriptorMatcher::read
-----------------------------------
-Reads a matcher object from a file node.
-
-.. ocv:function:: void GenericDescriptorMatcher::read( const FileNode& fn )
-
-
-
-GenericDescriptorMatcher::write
------------------------------------
-Writes a match object to a file storage.
-
-.. ocv:function:: void GenericDescriptorMatcher::write( FileStorage& fs ) const
-
-
-GenericDescriptorMatcher::clone
------------------------------------
-Clones the matcher.
-
-.. ocv:function:: Ptr<GenericDescriptorMatcher> GenericDescriptorMatcher::clone( bool emptyTrainData=false ) const
-
-    :param emptyTrainData: If ``emptyTrainData`` is false, the method creates a deep copy of the object, that is, copies
-            both parameters and train data. If ``emptyTrainData`` is true, the method creates an object copy with the current parameters
-            but with empty train data.
-
-
-VectorDescriptorMatcher
------------------------
-.. ocv:class:: VectorDescriptorMatcher : public GenericDescriptorMatcher
-
-Class used for matching descriptors that can be described as vectors in a finite-dimensional space. ::
-
-    class CV_EXPORTS VectorDescriptorMatcher : public GenericDescriptorMatcher
-    {
-    public:
-        VectorDescriptorMatcher( const Ptr<DescriptorExtractor>& extractor, const Ptr<DescriptorMatcher>& matcher );
-        virtual ~VectorDescriptorMatcher();
-
-        virtual void add( InputArrayOfArrays imgCollection,
-                          vector<vector<KeyPoint> >& pointCollection );
-        virtual void clear();
-        virtual void train();
-        virtual bool isMaskSupported();
-
-        virtual void read( const FileNode& fn );
-        virtual void write( FileStorage& fs ) const;
-
-        virtual Ptr<GenericDescriptorMatcher> clone( bool emptyTrainData=false ) const;
-
-    protected:
-        ...
-    };
-
-
-Example: ::
-
-    VectorDescriptorMatcher matcher( new SurfDescriptorExtractor,
-                                     new BruteForceMatcher<L2<float> > );

From 563200fbf63525ad64952a481f896e4551154dc7 Mon Sep 17 00:00:00 2001
From: Nathan Jackson <nate.ds.jackson@gmail.com>
Date: Mon, 4 Aug 2014 16:11:21 -0400
Subject: [PATCH 88/92] CPU (non-OpenCL) CLAHE now supports CV_16UC1.

---
 modules/imgproc/src/clahe.cpp | 72 ++++++++++++++++++++---------------
 1 file changed, 42 insertions(+), 30 deletions(-)

diff --git a/modules/imgproc/src/clahe.cpp b/modules/imgproc/src/clahe.cpp
index f19f192430..6114c4e530 100644
--- a/modules/imgproc/src/clahe.cpp
+++ b/modules/imgproc/src/clahe.cpp
@@ -126,10 +126,11 @@ namespace clahe
 
 namespace
 {
+    template <class T, int histSize, int shift>
     class CLAHE_CalcLut_Body : public cv::ParallelLoopBody
     {
     public:
-        CLAHE_CalcLut_Body(const cv::Mat& src, cv::Mat& lut, cv::Size tileSize, int tilesX, int clipLimit, float lutScale) :
+        CLAHE_CalcLut_Body(const cv::Mat& src, const cv::Mat& lut, const cv::Size& tileSize, const int& tilesX, const int& clipLimit, const float& lutScale) :
             src_(src), lut_(lut), tileSize_(tileSize), tilesX_(tilesX), clipLimit_(clipLimit), lutScale_(lutScale)
         {
         }
@@ -146,12 +147,11 @@ namespace
         float lutScale_;
     };
 
-    void CLAHE_CalcLut_Body::operator ()(const cv::Range& range) const
+    template <class T, int histSize, int shift>
+    void CLAHE_CalcLut_Body<T,histSize,shift>::operator ()(const cv::Range& range) const
     {
-        const int histSize = 256;
-
-        uchar* tileLut = lut_.ptr(range.start);
-        const size_t lut_step = lut_.step;
+        T* tileLut = lut_.ptr<T>(range.start);
+        const size_t lut_step = lut_.step / sizeof(T);
 
         for (int k = range.start; k < range.end; ++k, tileLut += lut_step)
         {
@@ -173,20 +173,20 @@ namespace
             int tileHist[histSize] = {0, };
 
             int height = tileROI.height;
-            const size_t sstep = tile.step;
-            for (const uchar* ptr = tile.ptr<uchar>(0); height--; ptr += sstep)
+            const size_t sstep = src_.step / sizeof(T);
+            for (const T* ptr = tile.ptr<T>(0); height--; ptr += sstep)
             {
                 int x = 0;
                 for (; x <= tileROI.width - 4; x += 4)
                 {
                     int t0 = ptr[x], t1 = ptr[x+1];
-                    tileHist[t0]++; tileHist[t1]++;
+                    tileHist[t0 >> shift]++; tileHist[t1 >> shift]++;
                     t0 = ptr[x+2]; t1 = ptr[x+3];
-                    tileHist[t0]++; tileHist[t1]++;
+                    tileHist[t0 >> shift]++; tileHist[t1 >> shift]++;
                 }
 
                 for (; x < tileROI.width; ++x)
-                    tileHist[ptr[x]]++;
+                    tileHist[ptr[x] >> shift]++;
             }
 
             // clip histogram
@@ -221,15 +221,16 @@ namespace
             for (int i = 0; i < histSize; ++i)
             {
                 sum += tileHist[i];
-                tileLut[i] = cv::saturate_cast<uchar>(sum * lutScale_);
+                tileLut[i] = cv::saturate_cast<T>(sum * lutScale_);
             }
         }
     }
 
+    template <class T>
     class CLAHE_Interpolation_Body : public cv::ParallelLoopBody
     {
     public:
-        CLAHE_Interpolation_Body(const cv::Mat& src, cv::Mat& dst, const cv::Mat& lut, cv::Size tileSize, int tilesX, int tilesY) :
+        CLAHE_Interpolation_Body(const cv::Mat& src, const cv::Mat& dst, const cv::Mat& lut, const cv::Size& tileSize, const int& tilesX, const int& tilesY) :
             src_(src), dst_(dst), lut_(lut), tileSize_(tileSize), tilesX_(tilesX), tilesY_(tilesY)
         {
         }
@@ -246,14 +247,15 @@ namespace
         int tilesY_;
     };
 
-    void CLAHE_Interpolation_Body::operator ()(const cv::Range& range) const
+    template <class T>
+    void CLAHE_Interpolation_Body<T>::operator ()(const cv::Range& range) const
     {
-        const size_t lut_step = lut_.step;
+        const size_t lut_step = lut_.step / sizeof(T);
 
         for (int y = range.start; y < range.end; ++y)
         {
-            const uchar* srcRow = src_.ptr<uchar>(y);
-            uchar* dstRow = dst_.ptr<uchar>(y);
+            const T* srcRow = src_.ptr<T>(y);
+            T* dstRow = dst_.ptr<T>(y);
 
             const float tyf = (static_cast<float>(y) / tileSize_.height) - 0.5f;
 
@@ -265,8 +267,8 @@ namespace
             ty1 = std::max(ty1, 0);
             ty2 = std::min(ty2, tilesY_ - 1);
 
-            const uchar* lutPlane1 = lut_.ptr(ty1 * tilesX_);
-            const uchar* lutPlane2 = lut_.ptr(ty2 * tilesX_);
+            const T* lutPlane1 = lut_.ptr<T>(ty1 * tilesX_);
+            const T* lutPlane2 = lut_.ptr<T>(ty2 * tilesX_);
 
             for (int x = 0; x < src_.cols; ++x)
             {
@@ -292,7 +294,7 @@ namespace
                 res += lutPlane2[ind1] * ((1.0f - xa) * (ya));
                 res += lutPlane2[ind2] * ((xa) * (ya));
 
-                dstRow[x] = cv::saturate_cast<uchar>(res);
+                dstRow[x] = cv::saturate_cast<T>(res);
             }
         }
     }
@@ -340,13 +342,13 @@ namespace
 
     void CLAHE_Impl::apply(cv::InputArray _src, cv::OutputArray _dst)
     {
-        CV_Assert( _src.type() == CV_8UC1 );
+        CV_Assert( _src.type() == CV_8UC1 || _src.type() == CV_16UC1 );
 
 #ifdef HAVE_OPENCL
-        bool useOpenCL = cv::ocl::useOpenCL() && _src.isUMat() && _src.dims()<=2;
+        bool useOpenCL = cv::ocl::useOpenCL() && _src.isUMat() && _src.dims()<=2 && _src.type() == CV_8UC1;
 #endif
 
-        const int histSize = 256;
+        int histSize = _src.type() == CV_8UC1 ? 256 : 4096;
 
         cv::Size tileSize;
         cv::_InputArray _srcForLut;
@@ -394,13 +396,23 @@ namespace
         _dst.create( src.size(), src.type() );
         cv::Mat dst = _dst.getMat();
         cv::Mat srcForLut = _srcForLut.getMat();
-        lut_.create(tilesX_ * tilesY_, histSize, CV_8UC1);
-
-        CLAHE_CalcLut_Body calcLutBody(srcForLut, lut_, tileSize, tilesX_, clipLimit, lutScale);
-        cv::parallel_for_(cv::Range(0, tilesX_ * tilesY_), calcLutBody);
-
-        CLAHE_Interpolation_Body interpolationBody(src, dst, lut_, tileSize, tilesX_, tilesY_);
-        cv::parallel_for_(cv::Range(0, src.rows), interpolationBody);
+        lut_.create(tilesX_ * tilesY_, histSize, _src.type());
+
+        cv::Ptr<cv::ParallelLoopBody> calcLutBody;
+        if (_src.type() == CV_8UC1)
+            calcLutBody = cv::makePtr<CLAHE_CalcLut_Body<uchar, 256, 0> >(srcForLut, lut_, tileSize, tilesX_, clipLimit, lutScale);
+        else if (_src.type() == CV_16UC1)
+            calcLutBody = cv::makePtr<CLAHE_CalcLut_Body<ushort, 4096, 4> >(srcForLut, lut_, tileSize, tilesX_, clipLimit, lutScale);
+        CV_Assert(!calcLutBody.empty());
+        cv::parallel_for_(cv::Range(0, tilesX_ * tilesY_), *calcLutBody);
+
+        cv::Ptr<cv::ParallelLoopBody> interpolationBody;
+        if (_src.type() == CV_8UC1)
+            interpolationBody = cv::makePtr<CLAHE_Interpolation_Body<uchar> >(src, dst, lut_, tileSize, tilesX_, tilesY_);
+        else if (_src.type() == CV_16UC1)
+            interpolationBody = cv::makePtr<CLAHE_Interpolation_Body<ushort> >(src, dst, lut_, tileSize, tilesX_, tilesY_);
+        CV_Assert(!interpolationBody.empty());
+        cv::parallel_for_(cv::Range(0, src.rows), *interpolationBody);
     }
 
     void CLAHE_Impl::setClipLimit(double clipLimit)

From bca4eb5e00f38b5b422f22bf89af4467114c9619 Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Tue, 12 Aug 2014 10:40:23 +0400
Subject: [PATCH 89/92] fixed more doc builder warnings

---
 .../doc/common_interfaces_of_descriptor_extractors.rst        | 3 +--
 modules/features2d/doc/feature_detection_and_description.rst  | 4 +---
 2 files changed, 2 insertions(+), 5 deletions(-)

diff --git a/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst b/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
index 746953da26..9c8b4ba081 100644
--- a/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
+++ b/modules/features2d/doc/common_interfaces_of_descriptor_extractors.rst
@@ -85,5 +85,4 @@ Creates a descriptor extractor by name.
 The current implementation supports the following types of a descriptor extractor:
 
  * ``"BRISK"`` -- :ocv:class:`BRISK`
- * ``"ORB"`` -- :ocv:class:`ORB`
- 
\ No newline at end of file
+ * ``"ORB"`` -- :ocv:class:`ORB`
\ No newline at end of file
diff --git a/modules/features2d/doc/feature_detection_and_description.rst b/modules/features2d/doc/feature_detection_and_description.rst
index bfb93d157f..16e715f692 100644
--- a/modules/features2d/doc/feature_detection_and_description.rst
+++ b/modules/features2d/doc/feature_detection_and_description.rst
@@ -249,6 +249,4 @@ SIFT
 
 .. ocv:class:: SIFT : public Feature2D
 
-The SIFT algorithm has been moved to opencv_contrib/xfeatures2d module.
-
-
+The SIFT algorithm has been moved to opencv_contrib/xfeatures2d module.
\ No newline at end of file

From 6fb282aa39ef7d6206662055bf781021fde4e4f5 Mon Sep 17 00:00:00 2001
From: vbystricky <user@user-pc.(none)>
Date: Tue, 12 Aug 2014 11:25:23 +0400
Subject: [PATCH 90/92] Remove mul24, for CV8UC3 3840x2160 it generates
 implementation specific result

---
 modules/core/src/opencl/minmaxloc.cl | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/core/src/opencl/minmaxloc.cl b/modules/core/src/opencl/minmaxloc.cl
index 1d84567ef9..cb72a4ec11 100644
--- a/modules/core/src/opencl/minmaxloc.cl
+++ b/modules/core/src/opencl/minmaxloc.cl
@@ -185,7 +185,7 @@ __kernel void minmaxloc(__global const uchar * srcptr, int src_step, int src_off
 #endif
         {
 #ifdef HAVE_SRC_CONT
-            src_index = mul24(id, srcTSIZE);
+            src_index = id * srcTSIZE;//mul24(id, srcTSIZE);
 #else
             src_index = mad24(id / cols, src_step, mul24(id % cols, srcTSIZE));
 #endif

From 8124d10526aa15e42eb9f18869865d432abf06d0 Mon Sep 17 00:00:00 2001
From: Elena Gvozdeva <elena.gvozdeva@itseez.com>
Date: Tue, 12 Aug 2014 12:19:13 +0400
Subject: [PATCH 91/92] fixed Erode and Dilate in case of kernel = Mat()

---
 modules/imgproc/src/morph.cpp             | 32 +++++++++++------------
 modules/imgproc/test/ocl/test_filters.cpp |  8 +++---
 2 files changed, 20 insertions(+), 20 deletions(-)

diff --git a/modules/imgproc/src/morph.cpp b/modules/imgproc/src/morph.cpp
index ceccff43a6..fde70ef2cd 100644
--- a/modules/imgproc/src/morph.cpp
+++ b/modules/imgproc/src/morph.cpp
@@ -1511,22 +1511,6 @@ static bool ocl_morphOp(InputArray _src, OutputArray _dst, InputArray _kernel,
     bool haveExtraMat = !_extraMat.empty();
     CV_Assert(actual_op <= 3 || haveExtraMat);
 
-    // try to use OpenCL kernel adopted for small morph kernel
-    if (dev.isIntel() && !(dev.type() & ocl::Device::TYPE_CPU) &&
-        ((ksize.width < 5 && ksize.height < 5 && esz <= 4) ||
-         (ksize.width == 5 && ksize.height == 5 && cn == 1)) &&
-         (iterations == 1))
-    {
-        if (ocl_morphSmall(_src, _dst, _kernel, anchor, borderType, op, actual_op, _extraMat))
-            return true;
-    }
-
-    if (iterations == 0 || kernel.rows*kernel.cols == 1)
-    {
-        _src.copyTo(_dst);
-        return true;
-    }
-
     if (!kernel.data)
     {
         kernel = getStructuringElement(MORPH_RECT, Size(1+iterations*2,1+iterations*2));
@@ -1543,6 +1527,22 @@ static bool ocl_morphOp(InputArray _src, OutputArray _dst, InputArray _kernel,
         iterations = 1;
     }
 
+    // try to use OpenCL kernel adopted for small morph kernel
+    if (dev.isIntel() && !(dev.type() & ocl::Device::TYPE_CPU) &&
+        ((ksize.width < 5 && ksize.height < 5 && esz <= 4) ||
+         (ksize.width == 5 && ksize.height == 5 && cn == 1)) &&
+         (iterations == 1))
+    {
+        if (ocl_morphSmall(_src, _dst, kernel, anchor, borderType, op, actual_op, _extraMat))
+            return true;
+    }
+
+    if (iterations == 0 || kernel.rows*kernel.cols == 1)
+    {
+        _src.copyTo(_dst);
+        return true;
+    }
+
 #ifdef ANDROID
     size_t localThreads[2] = { 16, 8 };
 #else
diff --git a/modules/imgproc/test/ocl/test_filters.cpp b/modules/imgproc/test/ocl/test_filters.cpp
index 3037735e08..0c4564e5ac 100644
--- a/modules/imgproc/test/ocl/test_filters.cpp
+++ b/modules/imgproc/test/ocl/test_filters.cpp
@@ -242,7 +242,7 @@ OCL_TEST_P(Erode, Mat)
     for (int j = 0; j < test_loop_times; j++)
     {
         random_roi();
-        Mat kernel = randomMat(kernelSize, CV_8UC1, 0, 3);
+        Mat kernel = ksize==0 ? Mat() : randomMat(kernelSize, CV_8UC1, 0, 3);
 
         OCL_OFF(cv::erode(src_roi, dst_roi, kernel, Point(-1, -1), iterations) );
         OCL_ON(cv::erode(usrc_roi, udst_roi, kernel, Point(-1, -1), iterations) );
@@ -264,7 +264,7 @@ OCL_TEST_P(Dilate, Mat)
     for (int j = 0; j < test_loop_times; j++)
     {
         random_roi();
-        Mat kernel = randomMat(kernelSize, CV_8UC1, 0, 3);
+        Mat kernel = ksize==0 ? Mat() : randomMat(kernelSize, CV_8UC1, 0, 3);
 
         OCL_OFF(cv::dilate(src_roi, dst_roi, kernel, Point(-1, -1), iterations) );
         OCL_ON(cv::dilate(usrc_roi, udst_roi, kernel, Point(-1, -1), iterations) );
@@ -413,7 +413,7 @@ OCL_INSTANTIATE_TEST_CASE_P(Filter, GaussianBlurTest, Combine(
 
 OCL_INSTANTIATE_TEST_CASE_P(Filter, Erode, Combine(
                             Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4, CV_64FC1, CV_64FC4),
-                            Values(3, 5, 7),
+                            Values(0, 3, 5, 7), // kernel size, 0 means kernel = Mat()
                             Values(Size(0, 0)), //not used
                             Values((BorderType)BORDER_CONSTANT),
                             Values(1.0, 2.0, 3.0),
@@ -422,7 +422,7 @@ OCL_INSTANTIATE_TEST_CASE_P(Filter, Erode, Combine(
 
 OCL_INSTANTIATE_TEST_CASE_P(Filter, Dilate, Combine(
                             Values(CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1, CV_32FC3, CV_32FC4, CV_64FC1, CV_64FC4),
-                            Values(3, 5, 7),
+                            Values(0, 3, 5, 7), // kernel size, 0 means kernel = Mat()
                             Values(Size(0, 0)), // not used
                             Values((BorderType)BORDER_CONSTANT),
                             Values(1.0, 2.0, 3.0),

From 1629d5099927c60911295b49b88e0659df463a65 Mon Sep 17 00:00:00 2001
From: Vadim Pisarevsky <vadim.pisarevsky@gmail.com>
Date: Tue, 12 Aug 2014 14:33:18 +0400
Subject: [PATCH 92/92] removed some more trailing whitespaces

---
 modules/features2d/doc/feature_detection_and_description.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/modules/features2d/doc/feature_detection_and_description.rst b/modules/features2d/doc/feature_detection_and_description.rst
index 16e715f692..ab7cdecf96 100644
--- a/modules/features2d/doc/feature_detection_and_description.rst
+++ b/modules/features2d/doc/feature_detection_and_description.rst
@@ -243,7 +243,7 @@ The AKAZE constructor
     :param octaves: Maximum octave evolution of the image
     :param sublevels: Default number of sublevels per scale level
     :param diffusivity: Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER
-    
+
 SIFT
 ----